From 5b44d93dabef45b97e6a80876acce1ea9964de6b Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 11 Apr 2021 16:41:00 -0500
Subject: [PATCH 0001/1020] pass self.progress

---
 anvio/genomedescriptions.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/genomedescriptions.py b/anvio/genomedescriptions.py
index 58f4fd6ea9..c0a9637ca1 100644
--- a/anvio/genomedescriptions.py
+++ b/anvio/genomedescriptions.py
@@ -332,7 +332,7 @@ def get_functions_and_sequences_dicts_from_contigs_db(self, genome_name, request
         if genome_name in self.internal_genome_names:
             args.split_names_of_interest = self.get_split_names_of_interest_for_internal_genome(g)
 
-        contigs_super = dbops.ContigsSuperclass(args, r=anvio.terminal.Run(verbose=False))
+        contigs_super = dbops.ContigsSuperclass(args, r=anvio.terminal.Run(verbose=False), p=self.progress)
 
         if self.functions_are_available:
             contigs_super.init_functions(requested_sources=requested_source_list)

From 76ba386897502c3e6968d9524229ca8876cb85e0 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 11 Apr 2021 16:41:46 -0500
Subject: [PATCH 0002/1020] cosmetics

---
 anvio/bottleroutes.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/bottleroutes.py b/anvio/bottleroutes.py
index 6518e7a65e..ccd983b2e9 100644
--- a/anvio/bottleroutes.py
+++ b/anvio/bottleroutes.py
@@ -174,8 +174,8 @@ def register_routes(self):
         self.route('/data/get_variability',                    callback=self.get_variability, method='POST')
         self.route('/data/store_variability',                  callback=self.store_variability, method='POST')
         self.route('/data/store_structure_as_pdb',             callback=self.store_structure_as_pdb, method='POST')
-        self.route('/data/get_gene_function_info/<gene_callers_id:int>',             callback=self.get_gene_function_info)
-        self.route('/data/get_model_info/<gene_callers_id:int>',             callback=self.get_model_info)
+        self.route('/data/get_gene_function_info/<gene_callers_id:int>', callback=self.get_gene_function_info)
+        self.route('/data/get_model_info/<gene_callers_id:int>', callback=self.get_model_info)
         self.route('/data/filter_gene_clusters',               callback=self.filter_gene_clusters, method='POST')
         self.route('/data/reroot_tree',                        callback=self.reroot_tree, method='POST')
         self.route('/data/save_tree',                          callback=self.save_tree, method='POST')

From 96b743b05d383871a533f09d723c94d889307f86 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 11 Apr 2021 17:18:35 -0500
Subject: [PATCH 0003/1020] fixy fix for a bug that almost deserves to stay ..

given how long it managed to survive in the codebase :/
---
 anvio/dbops.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/dbops.py b/anvio/dbops.py
index d0023f20dc..f847335fa2 100644
--- a/anvio/dbops.py
+++ b/anvio/dbops.py
@@ -3719,8 +3719,8 @@ def init(self):
             except:
                 pass
 
-        self.internal_genomes = [s.strip() for s in self.meta['internal_genome_names'].split(',')]
-        self.external_genomes = [s.strip() for s in self.meta['external_genome_names'].split(',')]
+        self.internal_genomes = [s.strip() for s in self.meta['internal_genome_names'].split(',') if len(s.strip())]
+        self.external_genomes = [s.strip() for s in self.meta['external_genome_names'].split(',') if len(s.strip())]
         self.genomes = self.internal_genomes + self.external_genomes
 
         # open the database

From a4ddc62f501a22efc5e6920bedf6f75d2f97271f Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 11 Apr 2021 18:06:54 -0500
Subject: [PATCH 0004/1020] placeholders for genome view interactive files

---
 anvio/data/interactive/genomeview.html  | 15 +++++++++++
 anvio/data/interactive/js/genomeview.js | 36 +++++++++++++++++++++++++
 2 files changed, 51 insertions(+)
 create mode 100644 anvio/data/interactive/genomeview.html
 create mode 100644 anvio/data/interactive/js/genomeview.js

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
new file mode 100644
index 0000000000..f852ec9d12
--- /dev/null
+++ b/anvio/data/interactive/genomeview.html
@@ -0,0 +1,15 @@
+<html>
+
+<head>
+    <title>Genome View</title>
+    <meta name="google" value="notranslate">
+
+    <script type="text/javascript" src="lib/jquery/dist/jquery.min.js"></script>
+    <script type='text/javascript' src='lib/d3.js/d3.min.js'></script>
+
+    <script type='text/javascript' src='js/genomeview.js'></script>
+</head>
+
+<div id="genomeview">Check your JavaScript console! :)</div>
+
+</html>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
new file mode 100644
index 0000000000..4f8361aabb
--- /dev/null
+++ b/anvio/data/interactive/js/genomeview.js
@@ -0,0 +1,36 @@
+/**
+ * Javascript library for anvi'o genome view
+ *
+ *  Authors: Isaac Fink <iafink@uchicago.edu>
+ *           Matthew Klein <mtt.l.kln@gmail.com>
+ *  Copyright 2021, The anvi'o project
+ *
+ * This file is part of anvi'o (<https://github.com/meren/anvio>).
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
+
+$(document).ready(function() {
+    initData();
+});
+
+function initData() {
+// initialize the bulk of the data.
+    $.ajax({
+        type: 'POST',
+        cache: false,
+        url: '/data/get_genome_view_data',
+        success: function(data) {
+            console.log(data);
+        }
+    });
+}

From b902aaa6c965af7feee41f41202b2fe9a08d73a3 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 11 Apr 2021 18:52:08 -0500
Subject: [PATCH 0005/1020] cosmetics

---
 anvio/genomedescriptions.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/anvio/genomedescriptions.py b/anvio/genomedescriptions.py
index c0a9637ca1..397d323ca9 100644
--- a/anvio/genomedescriptions.py
+++ b/anvio/genomedescriptions.py
@@ -425,8 +425,10 @@ def init_functions(self):
                                             (', '.join(self.function_annotation_sources), ', '.join(function_annotation_sources_some_genomes_miss)))
                 else:
                     # every function ever observed is common to all genomes.
-                    self.run.warning("Good news! Anvi'o found all these functions that are common to all of your genomes and will use them for "
-                                     "downstream analyses and is very proud of you: '%s'." % (', '.join(self.function_annotation_sources)), lc='green')
+                    self.run.warning(f"Good news! Anvi'o found functions that are common to all of your genomes and will use them for "
+                                     f"downstream analyses and is very proud of you. Here is the "
+                                     f"{P('annotation source', len(self.function_annotation_sources), alt='list of annotation sources')}: "
+                                     f"anvi'o recognizes: {', '.join(self.function_annotation_sources)}'.", header="YAY FOR FUNCTIONS 🥂", lc='green')
 
 
     def get_genome_hash_for_external_genome(self, entry):

From 83922fe85ced3c9f9730b91b82ff2f884d27918e Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 11 Apr 2021 18:52:56 -0500
Subject: [PATCH 0006/1020] a new interactive 'mode', `genomeview`

---
 anvio/dbops.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/dbops.py b/anvio/dbops.py
index f847335fa2..14dcb3699e 100644
--- a/anvio/dbops.py
+++ b/anvio/dbops.py
@@ -139,7 +139,7 @@ def __init__(self, args, r=run, p=progress):
         # associated with the call. so having done our part, we will quietly return from here hoping
         # that we are not driving a developer crazy somewhere by doing so.
         D = lambda x: self.__dict__[x] if x in self.__dict__ else None
-        if D('mode') == 'pan' or D('mode') == 'functional' or D('mode') == 'manual':
+        if D('mode') == 'pan' or D('mode') == 'functional' or D('mode') == 'manual' or D('mode') == 'genomeview':
             return
 
         A = lambda x: self.args.__dict__[x] if x in self.args.__dict__ else None

From b2e2e6e48598a1694df151e5eefd7a2ca40ca4cf Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 11 Apr 2021 18:53:25 -0500
Subject: [PATCH 0007/1020] unused variable

---
 anvio/kegg.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/kegg.py b/anvio/kegg.py
index f03c26718c..a7332ddf0b 100644
--- a/anvio/kegg.py
+++ b/anvio/kegg.py
@@ -5016,7 +5016,6 @@ def get_enrichment_input(self, output_file_path):
                                "it using the --sample-header parameter. Just so you know, the columns in modules-txt that you can choose from "
                                f"are: {col_list}")
 
-        required_groups_txt_headers = ['sample', 'group']
         samples_to_groups_dict, groups_to_samples_dict = utils.get_groups_txt_file_as_dict(self.groups_txt)
 
         # make sure the samples all have a group

From 67ccc4b76ce70e433b25bb3d84ec689ab9820311 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 11 Apr 2021 18:54:11 -0500
Subject: [PATCH 0008/1020] a new artifact, `genome-view`

---
 anvio/docs/__init__.py              | 6 ++++++
 anvio/docs/artifacts/genome-view.md | 1 +
 2 files changed, 7 insertions(+)
 create mode 100644 anvio/docs/artifacts/genome-view.md

diff --git a/anvio/docs/__init__.py b/anvio/docs/__init__.py
index 3081aeb7ec..9c4107cd12 100644
--- a/anvio/docs/__init__.py
+++ b/anvio/docs/__init__.py
@@ -370,6 +370,12 @@
         "provided_by_anvio": True,
         "provided_by_user": False
     },
+    "genome-view": {
+        "name": "GENOME VIEW",
+        "type": "DISPLAY",
+        "provided_by_anvio": True,
+        "provided_by_user": False
+    },
     "view-data": {
         "name": "VIEW DATA",
         "type": "TXT",
diff --git a/anvio/docs/artifacts/genome-view.md b/anvio/docs/artifacts/genome-view.md
new file mode 100644
index 0000000000..e56889c4b8
--- /dev/null
+++ b/anvio/docs/artifacts/genome-view.md
@@ -0,0 +1 @@
+An interactive anvi'o interface to study gene synteny across genomes.

From 51048c287fbe62c74b78115f5c46b791f2013a1f Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 11 Apr 2021 18:55:08 -0500
Subject: [PATCH 0009/1020] GenomeView class

the purpose of this class is to collect everything necessary for the
interactive interface to read through bottleroutes. It is likely that we
will need a way to re-implement this class to be lazy (so it doesn't
read everything into memory and pass it around). but this draft will
serve well to figure out how to structure the interactive interface with
real data.
---
 anvio/genomedescriptions.py | 132 ++++++++++++++++++++++++++++++++++++
 1 file changed, 132 insertions(+)

diff --git a/anvio/genomedescriptions.py b/anvio/genomedescriptions.py
index 397d323ca9..a203d38c24 100644
--- a/anvio/genomedescriptions.py
+++ b/anvio/genomedescriptions.py
@@ -1012,6 +1012,138 @@ def sanity_check(self):
         [utils.is_this_name_OK_for_database('metagenome name "%s"' % metagenome_name, metagenome_name) for metagenome_name in self.metagenomes]
 
 
+class AggregateGenomes(object):
+    """Aggregate information related to a group of genomes from anywhere.
+
+    The purpose of this class is to collect all relevant information about
+    a group of genomes comprehensively for downstream analyses. The primary
+    client of this class is genome view.
+
+    Please note that despite similar names, the use of this class and the class
+    AggregateFunctions is quite different.
+    """
+
+    def __init__(self, args, run=run, progress=progress, skip_init=False):
+        self.run = run
+        self.progress = progress
+
+        self.args = args
+        self.initialized = False
+
+        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
+        self.external_genomes_file = A('external_genomes')
+        self.internal_genomes_file = A('internal_genomes')
+        self.pan_db_path = A('pan_db')
+
+        self.genome_descriptions = GenomeDescriptions(args, progress=terminal.Progress(verbose=False))
+        self.genome_descriptions.load_genomes_descriptions()
+
+        # critical items for genome view bottleroutes:
+        self.genomes = {}
+        self.gene_associations = {}
+
+        # let's have this ready for convenience:
+        self.genome_names = list(self.genome_descriptions.genomes.keys())
+
+        if not skip_init:
+            self.init()
+
+
+    def init(self):
+        """Learn everything about genomes of interest.
+        
+        Calling this funciton will populate multiple critical dictionaries this class
+        designed to give access to, including `self.genomes` and `self.gene_associations`.
+        """
+
+        # before going through all the gneomes, we will recover gene associations. the reason
+        # we want to do it early on to make sure if there are incompatibilities between genome
+        # names of interest and reosurces provided to learn gene-gene associations (such as the
+        # pan database), they are discovered earlier than later:
+        self.gene_associations = self.get_gene_associations()
+
+        # now we will go through genomes of interest, and build our gigantic dictionary
+        for genome_name in self.genome_names:
+            self.genomes[genome_name] = {}
+
+            # learn all about genes:
+            self.genomes[genome_name]['genes'] = self.get_genes_dict(genome_name)
+            
+            # learn all about contigs:
+            self.genomes[genome_name]['contigs'] = self.get_contigs_dict(genome_name)
+
+            self.initialized = True
+
+
+    def get_gene_associations(self):
+        """Recovers gene assoctiations through gene clusters found in a pan database.
+
+        FIXME/TODO: also recover gene associations through user-provided input files.
+        """
+
+        d = {}
+
+        # if we have a pan database, we will start with that, first, and learn gene clusters in it:
+        if self.pan_db_path:
+            pan_db = dbops.PanDatabase(self.pan_db_path)
+
+            genome_names_missing_in_pan_db = [g for g in self.genome_names if g not in pan_db.genomes]
+            if len(genome_names_missing_in_pan_db):
+                raise ConfigError(f"You have provided a pan database to recover assocaitions between genes across "
+                                  f"your genomes, but not all genome names in your list of genomes occur in this "
+                                  f"pan database :/ Here is the list of genome names that you are missing: "
+                                  f"{', '.join(genome_names_missing_in_pan_db)}")
+            else:
+                self.run.warning("Anvi'o found each of the genome name you are interested in the pan database you "
+                                 "have provided. Which means the gene cluster information will be recovered for "
+                                 "downstream magic.", header="PAN DATABASE LOOKS GOOD 🚀", lc="green")
+
+            pan_db.disconnect()
+
+
+            pan_db = dbops.PanSuperclass(self.args)
+            pan_db.init_gene_clusters()
+
+            d['anvio-pangenome'] = pan_db.gene_clusters
+
+        return d
+
+
+    def get_genes_dict(self, genome_name):
+        """Learn everything about genes in a genome"""
+
+        contigs_db_path = self.genome_descriptions.genomes[genome_name]['contigs_db_path']
+
+        d = {}
+
+        # learn gene calls, start-stop positions, and so on
+        d['gene_calls'] = db.DB(contigs_db_path, None, ignore_version=True).smart_get(t.genes_in_contigs_table_name, 'gene_callers_id', self.genome_descriptions.genomes[genome_name]['gene_caller_ids'])
+
+        # learn gene functions as well as gene amino acid and DNA sequences
+        d['functions'], d['aa'], d['dna'] = self.genome_descriptions.get_functions_and_sequences_dicts_from_contigs_db(genome_name)
+
+        return d
+
+
+    def get_contigs_dict(self, genome_name):
+        """Learn everything about contigs associated with a genome"""
+
+        contigs_db_path = self.genome_descriptions.genomes[genome_name]['contigs_db_path']
+
+        d = {}
+
+        # get contig sequences
+        if genome_name in self.genome_descriptions.internal_genome_names:
+            raise ConfigError("This is not yet implemented :( Someone needs to find a rapid way to get contig "
+                              "associated with a set of gene caller ids without having to create an instance "
+                              "of ContigsSuperclass :/")
+        else:
+            d['info'] = db.DB(contigs_db_path, None, ignore_version=True).get_table_as_dict(t.contigs_info_table_name)
+            d['dna'] = db.DB(contigs_db_path, None, ignore_version=True).get_table_as_dict(t.contig_sequences_table_name)
+
+        return d
+
+
 class AggregateFunctions:
     """Aggregate functions from anywhere.
 

From 7e514706a391b80fd1fe7af989991376c3a2cd6d Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 11 Apr 2021 18:57:14 -0500
Subject: [PATCH 0010/1020] GenomeView class for the interactive module.

All this class does at the moment is to aggregate all necessary
information for the interactive interface through the AggregateGenomes
class. It will likely grow with new functions quickly to take care of
interactive interface related tasks (many of the parameters it claims to
accept have currently no effect).
---
 anvio/interactive.py | 27 ++++++++++++++++++++++++++-
 1 file changed, 26 insertions(+), 1 deletion(-)

diff --git a/anvio/interactive.py b/anvio/interactive.py
index 01b643fa45..af27f96131 100644
--- a/anvio/interactive.py
+++ b/anvio/interactive.py
@@ -31,7 +31,7 @@
 from anvio.variabilityops import VariabilitySuper
 from anvio.variabilityops import variability_engines
 from anvio.dbops import get_default_item_order_name
-from anvio.genomedescriptions import AggregateFunctions
+from anvio.genomedescriptions import AggregateFunctions, AggregateGenomes
 from anvio.errors import ConfigError, RefineError, GenesDBError
 from anvio.clusteringconfuguration import ClusteringConfiguration
 from anvio.dbops import ProfileSuperclass, ContigsSuperclass, PanSuperclass, TablesForStates, ProfileDatabase
@@ -1775,6 +1775,31 @@ def get_anvio_news(self):
                 pass
 
 
+class GenomeView(AggregateGenomes):
+    def __init__(self, args, run=run, progress=progress, skip_init=False):
+        self.run = run
+        self.progress = progress
+
+        self.args = args
+        self.mode = 'genomeview'
+
+        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
+        self.mode = A('mode')
+        self.tree = A('tree')
+        self.title = A('title')
+        self.skip_auto_ordering = A('skip_auto_ordering')
+        self.skip_news = A('skip_news')
+        self.skip_news = A('dry-run')
+
+        # critical items for genome view bottleroutes, which will be filled
+        # by `AggregateGenomes` upon initialization:
+        self.genomes = {}
+        self.initialized = False
+
+        if not skip_init:
+            AggregateGenomes.__init__(self, self.args, run=self.run, progress=self.progress)
+
+
 class StructureInteractive(VariabilitySuper, ContigsSuperclass):
     def __init__(self, args, run=run, progress=progress):
         self.run = run

From 067d899815db2243785ec7f5021d49ea7f8178fb Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 11 Apr 2021 18:59:59 -0500
Subject: [PATCH 0011/1020] a draft route for genomeview.

---
 anvio/bottleroutes.py | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/anvio/bottleroutes.py b/anvio/bottleroutes.py
index ccd983b2e9..1bc889ce58 100644
--- a/anvio/bottleroutes.py
+++ b/anvio/bottleroutes.py
@@ -180,6 +180,7 @@ def register_routes(self):
         self.route('/data/reroot_tree',                        callback=self.reroot_tree, method='POST')
         self.route('/data/save_tree',                          callback=self.save_tree, method='POST')
         self.route('/data/check_homogeneity_info',             callback=self.check_homogeneity_info, method='POST')
+        self.route('/data/get_genome_view_data',               callback=self.get_genome_view_data, method='POST')
         self.route('/data/search_items',                       callback=self.search_items_by_name, method='POST')
         self.route('/data/get_taxonomy',                       callback=self.get_taxonomy, method='POST')
         self.route('/data/get_functions_for_gene_clusters',    callback=self.get_functions_for_gene_clusters, method='POST')
@@ -256,6 +257,8 @@ def redirect_to_app(self):
             homepage = 'metabolism.html'
         elif self.interactive.mode == 'inspect':
             redirect('/app/charts.html?id=%s&show_snvs=true&rand=%s' % (self.interactive.inspect_split_name, self.random_hash(8)))
+        elif self.interactive.mode == 'genomeview':
+            homepage = 'genomeview.html'
 
         redirect('/app/%s?rand=%s' % (homepage, self.random_hash(8)))
 
@@ -1342,6 +1345,14 @@ def get_initial_data(self):
         return json.dumps(self.interactive.get_initial_data())
 
 
+    def get_genome_view_data(self):
+        try:
+            return json.dumps({'genomes': self.interactive.genomes,
+                               'gene_associations': self.interactive.gene_associations})
+        except Exception as e:
+            return json.dumps({'error': f"Something went wrong at the backend :( Here is the error message: '{e}'"})
+
+
     def get_column_info(self):
         gene_callers_id = int(request.forms.get('gene_callers_id'))
         engine = request.forms.get('engine')

From d93d60ee5d7c7b6c69e7bff85e2d3433481b1658 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 11 Apr 2021 19:00:25 -0500
Subject: [PATCH 0012/1020] a new program, anvi-display-genomes.

---
 bin/anvi-display-genomes | 88 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 88 insertions(+)
 create mode 100755 bin/anvi-display-genomes

diff --git a/bin/anvi-display-genomes b/bin/anvi-display-genomes
new file mode 100755
index 0000000000..fe5b78fe9e
--- /dev/null
+++ b/bin/anvi-display-genomes
@@ -0,0 +1,88 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+"""Entry point to the interactive interface for genome view.
+
+The massage of the data is being taken care of in the interactive module,
+and this file implements the bottle callbacks.
+"""
+
+import sys
+from anvio.argparse import ArgumentParser
+
+import anvio
+import anvio.utils as utils
+import anvio.terminal as terminal
+import anvio.interactive as interactive
+from anvio.bottleroutes import BottleApplication
+
+from anvio.errors import ConfigError, FilesNPathsError
+
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2021, the Meren Lab (http://merenlab.org/)"
+__credits__ = []
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__maintainer__ = "A. Murat Eren"
+__email__ = "a.murat.eren@gmail.com"
+__requires__ = ['external-genomes', 'internal-genomes', 'pan-db']
+__provides__ = ['genome-view']
+__description__ = "Start an anvi'o interactive interface for 'genome view'"
+
+run = terminal.Run()
+progress = terminal.Progress()
+
+if __name__ == '__main__':
+    parser = ArgumentParser(description=__description__)
+
+    groupA = parser.add_argument_group('GENOMES', "Tell anvi'o where your genomes are.")
+    groupA.add_argument(*anvio.A('external-genomes'), **anvio.K('external-genomes'))
+    groupA.add_argument(*anvio.A('internal-genomes'), **anvio.K('internal-genomes'))
+
+    groupB = parser.add_argument_group('GENE ASSOCIATIONS', "Tell anvi'o how genes in your genomes related to one another.")
+    groupB.add_argument(*anvio.A('pan-db'), **anvio.K('pan-db', {'required': False}))
+
+    groupC = parser.add_argument_group("PRO STUFF", "Tell anvi'o which gene caller to use.")
+    groupC.add_argument(*anvio.A('gene-caller'), **anvio.K('gene-caller'))
+
+    groupB = parser.add_argument_group('OPTIONAL INPUTS', "Where the yay factor becomes a reality.")
+    groupB.add_argument(*anvio.A('tree'), **anvio.K('tree'))
+
+    groupD = parser.add_argument_group('VISUALS RELATED', "Parameters that give access to various adjustements regarding\
+                                                           the interface.")
+    groupD.add_argument(*anvio.A('title'), **anvio.K('title'))
+
+    groupE = parser.add_argument_group('SWEET PARAMS OF CONVENIENCE', "Parameters and flags that are not quite essential (but nice to have).")
+    groupE.add_argument(*anvio.A('dry-run'), **anvio.K('dry-run'))
+    groupE.add_argument(*anvio.A('skip-auto-ordering'), **anvio.K('skip-auto-ordering'))
+    groupE.add_argument(*anvio.A('skip-news'), **anvio.K('skip-news'))
+
+    groupF = parser.add_argument_group('SERVER CONFIGURATION', "For power users.")
+    groupF.add_argument(*anvio.A('ip-address'), **anvio.K('ip-address'))
+    groupF.add_argument(*anvio.A('port-number'), **anvio.K('port-number'))
+    groupF.add_argument(*anvio.A('browser-path'), **anvio.K('browser-path'))
+    groupF.add_argument(*anvio.A('read-only'), **anvio.K('read-only'))
+    groupF.add_argument(*anvio.A('server-only'), **anvio.K('server-only'))
+    groupF.add_argument(*anvio.A('password-protected'), **anvio.K('password-protected'))
+    groupF.add_argument(*anvio.A('user-server-shutdown'), **anvio.K('user-server-shutdown'))
+
+    args = parser.get_args(parser)
+
+    try:
+        args.mode = 'genomeview'
+        d = interactive.GenomeView(args)
+
+        args.port_number = utils.get_port_num(args.port_number, args.ip_address, run=run)
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
+    except FilesNPathsError as e:
+        print(e)
+        sys.exit(-2)
+
+    if args.dry_run:
+        run.info_single('Dry run? Kthxbai.', nl_after=1, nl_before=1)
+        sys.exit()
+
+    app = BottleApplication(d)
+    app.run_application(args.ip_address, args.port_number)

From d7ef3ddc4619dc6e9c25fc0c838920329ad5b911 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 11 Apr 2021 19:46:37 -0500
Subject: [PATCH 0013/1020] make sure the pan db is a pan db

---
 anvio/genomedescriptions.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/anvio/genomedescriptions.py b/anvio/genomedescriptions.py
index a203d38c24..95081a0374 100644
--- a/anvio/genomedescriptions.py
+++ b/anvio/genomedescriptions.py
@@ -1035,6 +1035,10 @@ def __init__(self, args, run=run, progress=progress, skip_init=False):
         self.internal_genomes_file = A('internal_genomes')
         self.pan_db_path = A('pan_db')
 
+        if self.pan_db_path:
+            utils.is_pan_db(self.pan_db_path)
+
+
         self.genome_descriptions = GenomeDescriptions(args, progress=terminal.Progress(verbose=False))
         self.genome_descriptions.load_genomes_descriptions()
 
@@ -1051,7 +1055,7 @@ def __init__(self, args, run=run, progress=progress, skip_init=False):
 
     def init(self):
         """Learn everything about genomes of interest.
-        
+
         Calling this funciton will populate multiple critical dictionaries this class
         designed to give access to, including `self.genomes` and `self.gene_associations`.
         """
@@ -1068,7 +1072,7 @@ def init(self):
 
             # learn all about genes:
             self.genomes[genome_name]['genes'] = self.get_genes_dict(genome_name)
-            
+
             # learn all about contigs:
             self.genomes[genome_name]['contigs'] = self.get_contigs_dict(genome_name)
 

From d93b1be92bce90aad7e685e87cc64759a7f1a310 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Mon, 12 Apr 2021 15:29:03 -0500
Subject: [PATCH 0014/1020] fix license & author info, remove trailing spaces

---
 anvio/data/interactive/js/animations.js      | 24 ++++-
 anvio/data/interactive/js/area-zoom.js       | 39 +++++---
 anvio/data/interactive/js/bin.js             | 93 ++++++++++----------
 anvio/data/interactive/js/charts.js          | 11 ++-
 anvio/data/interactive/js/color-coding.js    | 23 +++--
 anvio/data/interactive/js/constants.js       | 20 +++++
 anvio/data/interactive/js/context-menu.js    |  9 +-
 anvio/data/interactive/js/contigs-plot.js    | 22 ++++-
 anvio/data/interactive/js/drawer.js          |  9 +-
 anvio/data/interactive/js/geneclusters.js    | 16 ++--
 anvio/data/interactive/js/genomeview.js      |  5 +-
 anvio/data/interactive/js/help-messages.js   | 19 ++++
 anvio/data/interactive/js/inspectionutils.js |  8 +-
 anvio/data/interactive/js/main.js            |  8 +-
 anvio/data/interactive/js/migrations.js      | 23 ++++-
 anvio/data/interactive/js/mouse-events.js    |  7 +-
 anvio/data/interactive/js/multiple.js        | 21 ++++-
 anvio/data/interactive/js/news.js            | 20 +++++
 anvio/data/interactive/js/sample.js          | 64 +++++++++-----
 anvio/data/interactive/js/search.js          | 37 +++++---
 anvio/data/interactive/js/structure.js       | 69 +++++++++------
 anvio/data/interactive/js/svg-helpers.js     | 12 +--
 anvio/data/interactive/js/tree.js            | 26 +++---
 anvio/data/interactive/js/utils.js           | 32 +++----
 24 files changed, 411 insertions(+), 206 deletions(-)

diff --git a/anvio/data/interactive/js/animations.js b/anvio/data/interactive/js/animations.js
index 16b99afbf3..e771bc2a12 100644
--- a/anvio/data/interactive/js/animations.js
+++ b/anvio/data/interactive/js/animations.js
@@ -1,3 +1,21 @@
+/**
+ * Functions for panel animations.
+ *
+ *  Authors: Özcan Esen <ozcanesen@gmail.com>
+ *
+ *  Copyright 2015-2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
 var ANIMATIONS_ENABLED = true;
 var SLIDE_INTERVAL = 4;
 var SLIDE_STEP_SIZE = 15;
@@ -11,7 +29,7 @@ function toggleLeftPanel() {
     is_left_panel_sliding = true;
 
     if ($('#panel-left').is(':visible')) {
-        var animation_frame = function(){ 
+        var animation_frame = function(){
             if (ANIMATIONS_ENABLED && $('#panel-left')[0].getBoundingClientRect().right > 0) {
                 $('#panel-left').css('left', parseInt($('#panel-left').css('left')) - SLIDE_STEP_SIZE);
                 $('#toggle-panel-left').css('left', $('#sidebar')[0].getBoundingClientRect().right + 'px');
@@ -28,7 +46,7 @@ function toggleLeftPanel() {
         animation_frame();
     } else {
         $('#panel-left').show();
-        var animation_frame = function(){ 
+        var animation_frame = function(){
             if (ANIMATIONS_ENABLED && $('#panel-left')[0].getBoundingClientRect().left < 0) {
                 $('#panel-left').css('left', parseInt($('#panel-left').css('left')) + SLIDE_STEP_SIZE);
                 $('#toggle-panel-left').css('left', $('#sidebar')[0].getBoundingClientRect().right + 'px');
@@ -50,7 +68,7 @@ function toggleRightPanel(name) {
     ['#mouse_hover_panel', '#description-panel', '#news-panel'].forEach(function(right_panel) {
         if (right_panel == name)
             return;
-        
+
         $(right_panel).hide();
     });
 
diff --git a/anvio/data/interactive/js/area-zoom.js b/anvio/data/interactive/js/area-zoom.js
index 24b97881a1..40d1805e97 100644
--- a/anvio/data/interactive/js/area-zoom.js
+++ b/anvio/data/interactive/js/area-zoom.js
@@ -1,3 +1,22 @@
+/**
+ * Zooming in an out.
+ *
+ *  Authors: Özcan Esen <ozcanesen@gmail.com>
+ *
+ *  Copyright 2015-2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
+
 var mouse_event_origin_x = 0;
 var mouse_event_origin_y = 0;
 
@@ -9,8 +28,8 @@ function initialize_area_zoom() {
     var viewport = document.getElementById('svg');
 
     viewport.addEventListener('mousedown',
-        function(event) { 
-            dragging = false; 
+        function(event) {
+            dragging = false;
             document.activeElement.blur();
 
             mouse_event_origin_x = event.clientX;
@@ -28,11 +47,11 @@ function initialize_area_zoom() {
             }
         });
 
-    viewport.addEventListener('mousemove', 
+    viewport.addEventListener('mousemove',
         function(event) {
             if (Math.abs(mouse_event_origin_x - event.clientX) + Math.abs(mouse_event_origin_y - event.clientY) > 2)
             {
-                dragging = true; 
+                dragging = true;
             }
 
             if (event.shiftKey && drawing_zoom)
@@ -56,25 +75,25 @@ function initialize_area_zoom() {
             }
         });
 
-    viewport.addEventListener('mouseup', 
+    viewport.addEventListener('mouseup',
         function() {
             if (drawing_zoom)
             {
                 var zoom_rect = document.getElementById('divzoom').getBoundingClientRect();
-                
+
                 if (zoom_rect.width > 2 && zoom_rect.height > 2)
                 {
                     var _dx = (parseInt("0" + $('#svg').position().left) + (VIEWER_WIDTH / 2)) - (zoom_rect.left + zoom_rect.width / 2);
                     var _dy = (parseInt("0" + $('#svg').position().top)  + (VIEWER_HEIGHT / 2)) - (zoom_rect.top + zoom_rect.height / 2);
-                    pan(_dx,_dy); 
+                    pan(_dx,_dy);
                     zoom(Math.min(VIEWER_WIDTH / zoom_rect.width, VIEWER_HEIGHT / zoom_rect.height));
                 }
             }
 
             clearTextSelection();
-            drawing_zoom=false; 
-            zoomBox = {}; 
-            $('#divzoom').hide(); 
+            drawing_zoom=false;
+            zoomBox = {};
+            $('#divzoom').hide();
 
         });
 }
diff --git a/anvio/data/interactive/js/bin.js b/anvio/data/interactive/js/bin.js
index 8f0f3650f6..8572c1169c 100644
--- a/anvio/data/interactive/js/bin.js
+++ b/anvio/data/interactive/js/bin.js
@@ -1,17 +1,16 @@
 /**
  * Draw bins, bin labels stuff.
  *
- *  Author: Özcan Esen <ozcanesen@gmail.com>
- *  Credits: A. Murat Eren
- *  Copyright 2017, The anvio Project
+ *  Authors: Özcan Esen <ozcanesen@gmail.com>
+ *           A. Murat Eren <a. murat.eren@gmail.com>
+ *
+ *  Copyright 2015-2021, The anvi'o project (http://anvio.org)
  *
- * This file is part of anvi'o (<https://github.com/meren/anvio>).
- * 
  * Anvi'o is a free software. You can redistribute this program
- * and/or modify it under the terms of the GNU General Public 
- * License as published by the Free Software Foundation, either 
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
  * version 3 of the License, or (at your option) any later version.
- * 
+ *
  * You should have received a copy of the GNU General Public License
  * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
  *
@@ -125,7 +124,7 @@ Bins.prototype.NewBin = function(id, binState) {
 
             if (current_color != previous_color) {
                 emit('bin-settings-changed');
-                bins.PushHistory([{'type': 'ChangeColor', 
+                bins.PushHistory([{'type': 'ChangeColor',
                                    'bin_id': id,
                                    'color-before': previous_color,
                                    'color': current_color}]);
@@ -184,13 +183,13 @@ Bins.prototype.DeleteBin = function(bin_id, show_confirm=true) {
         node.ResetColor();
 
         if (this.keepHistory) {
-            transaction.push({'type': 'RemoveNode', 
+            transaction.push({'type': 'RemoveNode',
                              'bin_id': bin_id,
                              'node': node});
         }
     }
 
-    transaction.push({'type': 'DeleteBin', 
+    transaction.push({'type': 'DeleteBin',
                        'bin_id': bin_id,
                        'name': document.getElementById('bin_name_' + bin_id).value,
                        'color': document.getElementById('bin_color_' + bin_id).getAttribute('color')});
@@ -211,7 +210,7 @@ Bins.prototype.DeleteBin = function(bin_id, show_confirm=true) {
     if (!this.container.querySelector('input[name=active_bin]:checked')) {
         this.SelectLastRadio();
     }
-    
+
     this.RedrawBins();
 };
 
@@ -253,13 +252,13 @@ Bins.prototype.Redo = function() {
     }
 }
 
-Bins.prototype.ProcessTransaction = function(transaction, reversed=false) {        
+Bins.prototype.ProcessTransaction = function(transaction, reversed=false) {
     this.keepHistory = false;
     this.allowRedraw = false;
 
     let updated_bins = new Set();
     let removed_bins = new Set();
-    
+
     for (var i = 0; i < transaction.length; i++) {
         let operation = transaction[i];
 
@@ -278,7 +277,7 @@ Bins.prototype.ProcessTransaction = function(transaction, reversed=false) {
                     $('#bin_color_' + operation.bin_id).css('background-color', operation['color-before']);
                     break;
                 case 'DeleteBin':
-                    this.NewBin(operation.bin_id, {'name': operation.name, 
+                    this.NewBin(operation.bin_id, {'name': operation.name,
                                                   'color': operation.color});
                     removed_bins.delete(operation.bin_id);
                     break;
@@ -305,7 +304,7 @@ Bins.prototype.ProcessTransaction = function(transaction, reversed=false) {
                     removed_bins.add(operation.bin_id);
                     break;
                 case 'NewBin':
-                    this.NewBin(operation.bin_id, {'name': operation.name, 
+                    this.NewBin(operation.bin_id, {'name': operation.name,
                                                   'color': operation.color});
                     removed_bins.delete(operation.bin_id);
                     break;
@@ -368,7 +367,7 @@ Bins.prototype.AppendNode = function(targets, bin_id) {
                     bins_to_update.add(other_bin_id);
 
                     if (this.keepHistory && node.IsLeaf()) {
-                        transaction.push({'type': 'RemoveNode', 
+                        transaction.push({'type': 'RemoveNode',
                                           'bin_id': other_bin_id,
                                           'node': node});
                     }
@@ -380,16 +379,16 @@ Bins.prototype.AppendNode = function(targets, bin_id) {
                 bins_to_update.add(bin_id);
 
                 if (this.keepHistory && node.IsLeaf()) {
-                    transaction.push({'type': 'AppendNode', 
+                    transaction.push({'type': 'AppendNode',
                                       'bin_id': bin_id,
                                       'node': node});
                 }
             }
 
             node.SetColor(bin_color);
-        }    
+        }
     }
-    
+
     bins_to_update = Array.from(bins_to_update);
     this.PushHistory(transaction);
     this.RedrawBins();
@@ -419,7 +418,7 @@ Bins.prototype.RemoveNode = function(targets, bin_id) {
                     bins_to_update.add(bin_id);
 
                     if (this.keepHistory && node.IsLeaf()) {
-                        transaction.push({'type': 'RemoveNode', 
+                        transaction.push({'type': 'RemoveNode',
                                           'bin_id': bin_id,
                                           'node': node});
                     }
@@ -449,7 +448,7 @@ Bins.prototype.IsNodeMemberOfBin = function(node) {
 
 Bins.prototype.BinsSorted = function() {
     // move every taxonomy row after their original parent.
-    this.container.querySelectorAll('[data-parent]').forEach((elem) => { 
+    this.container.querySelectorAll('[data-parent]').forEach((elem) => {
         let taxonomy_row = elem.parentNode.removeChild(elem);
         let parent_bin_id = elem.getAttribute('data-parent');
 
@@ -471,7 +470,7 @@ Bins.prototype.UpdateBinsWindow = function(bin_list) {
         if (mode == 'pan') {
             let num_gene_clusters = 0;
             let num_gene_calls = 0;
-            
+
             for (let node of this.selections[bin_id].values()) {
                 if (node.IsLeaf()) {
                     num_gene_clusters++;
@@ -676,8 +675,8 @@ Bins.prototype.ImportCollection = function(collection, threshold = 1000) {
             if (mode != 'full')
             {
                 nodes.push(collection['data'][bin_name][i]);
-            } 
-            else if (typeof item_lengths[collection['data'][bin_name][i]] !== 'undefined') 
+            }
+            else if (typeof item_lengths[collection['data'][bin_name][i]] !== 'undefined')
             {
                 nodes.push(collection['data'][bin_name][i]);
                 sum_length += item_lengths[collection['data'][bin_name][i]];
@@ -805,11 +804,11 @@ Bins.prototype.RedrawLineColors = function() {
 };
 
 Bins.prototype.DrawInvertedNodes = function(leaf_list, rect_width){
-    
+
     var inverse_fill_opacity = $('#inverse_fill_opacity').val();
     var inverse_color = document.getElementById('inverse_color').getAttribute('color');
-    let nodes_for_inversion = [] 
-        
+    let nodes_for_inversion = []
+
     for(let i = 0; i < leaf_list.length; i++){ //selecting all the nodes that aren't assigned to bins
         if(leaf_list[i] === -1){
             nodes_for_inversion.push(drawer.tree.leaves.filter(leaf => leaf.order === i))
@@ -818,17 +817,17 @@ Bins.prototype.DrawInvertedNodes = function(leaf_list, rect_width){
 
     nodes_for_inversion.map((node, idx) => {
 
-        let p1; 
-        let p2; 
+        let p1;
+        let p2;
         let p = node[0];
 
         if(idx == [nodes_for_inversion.length - 1]){
-            return // last node does not have 2 adjacent border nodes, throws error on GetBorderNodes() call 
+            return // last node does not have 2 adjacent border nodes, throws error on GetBorderNodes() call
         }
         else {
             [p1, p2] = p.GetBorderNodes();
         }
-        
+
         if (tree_type == 'circlephylogram'){
             let pie = drawPie(
                 'bin',
@@ -850,9 +849,9 @@ Bins.prototype.DrawInvertedNodes = function(leaf_list, rect_width){
         } else {
            let rect =  drawPhylogramRectangle('bin',
                 'bin_background_' + idx,
-                p.xy.x, 
+                p.xy.x,
                 p.xy.y,
-                p.size, 
+                p.size,
                 rect_width,
                 inverse_color,
                 inverse_fill_opacity,
@@ -914,8 +913,8 @@ Bins.prototype.RedrawBins = function() {
 
     // draw new bins
     var show_grid = $('#show_grid_for_bins')[0].checked;
-    var show_shade = $('#show_shade_for_bins')[0].checked; 
-    var invert_shade = $('#invert_shade_for_bins')[0].checked; 
+    var show_shade = $('#show_shade_for_bins')[0].checked;
+    var invert_shade = $('#invert_shade_for_bins')[0].checked;
     var shade_fill_opacity = $('#shade_fill_opacity').val();
     var grid_color = document.getElementById('grid_color').getAttribute('color');
     var grid_width = $('#grid_width').val();
@@ -924,7 +923,7 @@ Bins.prototype.RedrawBins = function() {
     var autorotate_bin_labels = $('#autorotate_bin_labels')[0].checked;
     var bin_labels_angle = $('#bin_labels_angle').val();
     var background_starts_from_branch = $('#begins_from_branch').is(':checked');
-    
+
     var outer_ring_size = parseFloat($('#outer-ring-height').val());
     var outer_ring_margin = parseFloat($('#outer-ring-margin').val());
 
@@ -939,7 +938,7 @@ Bins.prototype.RedrawBins = function() {
             var startAncestors = new Set(start.GetAncestors());
             var endAncestors = new Set(end.GetAncestors());
             var intersection = new Set([...startAncestors].filter(x => endAncestors.has(x))).values().next().value;
-            
+
             if (typeof intersection === 'undefined') {
                 throw `It seems Node:${start.id} and Node:${end.id} does not have common ancestor.`;
             }
@@ -982,8 +981,8 @@ Bins.prototype.RedrawBins = function() {
                 drawRotatedText(
                     'bin',
                     {
-                        'x': bin_label_px, 
-                        'y': bin_label_py, 
+                        'x': bin_label_px,
+                        'y': bin_label_py,
                     },
                     $('#bin_name_' + bins_to_draw[i][2]).val().replace("_", " "),
                     (autorotate_bin_labels) ? new_angle : bin_labels_angle,
@@ -1005,7 +1004,7 @@ Bins.prototype.RedrawBins = function() {
                 (show_grid) ? total_radius + outer_ring_margin + outer_ring_size : total_radius,
                 (Math.abs(end.angle - start.angle) + start.size / 2 + end.size / 2 > Math.PI) ? 1 : 0,
                 color,
-                (show_grid) ? 0 : shade_fill_opacity, 
+                (show_grid) ? 0 : shade_fill_opacity,
                 false);
 
             if (show_grid && !show_shade) {
@@ -1046,8 +1045,8 @@ Bins.prototype.RedrawBins = function() {
                 drawRotatedText(
                     'bin',
                     {
-                        'y':  (start.xy.y - start.size / 2 + end.xy.y + end.size / 2) / 2 + (bin_labels_font_size / 3), 
-                        'x': (total_radius + outer_ring_margin * 1.5 + outer_ring_size * (this.higlighted_items.length > 0 ? 2 : 1)), 
+                        'y':  (start.xy.y - start.size / 2 + end.xy.y + end.size / 2) / 2 + (bin_labels_font_size / 3),
+                        'x': (total_radius + outer_ring_margin * 1.5 + outer_ring_size * (this.higlighted_items.length > 0 ? 2 : 1)),
                     },
                     $('#bin_name_' + bins_to_draw[i][2]).val().replace("_", " "),
                     (autorotate_bin_labels) ? 0 : bin_labels_angle,
@@ -1065,7 +1064,7 @@ Bins.prototype.RedrawBins = function() {
 
             width_with_grids = total_radius + outer_ring_margin + outer_ring_size - backgroundStart
             width_no_grids = total_radius - backgroundStart
-            // ^ these get passed to invert_shade method so we don't have to re-declare a bunch of other stuff. 
+            // ^ these get passed to invert_shade method so we don't have to re-declare a bunch of other stuff.
 
             var rect = drawPhylogramRectangle('bin',
                 'bin_background_' + i,
@@ -1113,7 +1112,7 @@ Bins.prototype.RedrawBins = function() {
                 (node.size / 2 > Math.PI) ? 1 : 0,
                 color,
                 1,
-                true);     
+                true);
         }
         else
         {
@@ -1128,7 +1127,7 @@ Bins.prototype.RedrawBins = function() {
                 true);
         }
     }
-    invert_shade ? this.DrawInvertedNodes(leaf_list, show_grid ? width_with_grids : width_no_grids) : null 
+    invert_shade ? this.DrawInvertedNodes(leaf_list, show_grid ? width_with_grids : width_no_grids) : null
 
 }
 
@@ -1165,7 +1164,7 @@ Bins.prototype.RebuildIntersections = function() {
                     this.selections[bin_id].delete(node);
                     node.ResetColor();
                 }
-            }   
+            }
         }
 
         while (inserted) {
diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index c735fa57c1..2251ed9a79 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -1,11 +1,14 @@
 /**
  * Javascript library to visualize anvi'o charts
  *
- *  Author: A. Murat Eren <a.murat.eren@gmail.com>
- *  Credits: Özcan Esen, Gökmen Göksel, Tobias Paczian.
- *  Copyright 2015, The anvio Project
+ *  Authors: A. Murat Eren <a.murat.eren@gmail.com>
+ *           Ozcan Esen
+ *           Isaac Fink <iafink@uchicago.edu>
+ *           Matthew Klein <mtt.l.kln@gmail.com>
+ *           Gökmen Göksel
+ *           Tobias Paczian
  *
- * This file is part of anvi'o (<https://github.com/meren/anvio>).
+ *  Copyright 2015-2021, The anvi'o project (http://anvio.org)
  *
  * Anvi'o is a free software. You can redistribute this program
  * and/or modify it under the terms of the GNU General Public
diff --git a/anvio/data/interactive/js/color-coding.js b/anvio/data/interactive/js/color-coding.js
index c6e830f205..e353ec06de 100644
--- a/anvio/data/interactive/js/color-coding.js
+++ b/anvio/data/interactive/js/color-coding.js
@@ -1,10 +1,9 @@
 /**
  * Javascript library to visualize anvi'o gene clusterss
  *
- *  Author: Mahmoud Yousef
- *  Copyright 2018, The anvio Project
+ *  Authors: Mahmoud Yousef
  *
- * This file is part of anvi'o (<https://github.com/meren/anvio>).
+ *  Copyright 2018-2021, The anvi'o project (http://anvio.org)
  *
  * Anvi'o is a free software. You can redistribute this program
  * and/or modify it under the terms of the GNU General Public
@@ -56,7 +55,7 @@ function colorAlgorithm(positions){
     var _positions = []
     for (aa in positions){
         if (checked(positions[aa]) && aboveThreshold(positions, positions[aa])) {
-            _positions[aa] = color(positions, positions[aa]);   
+            _positions[aa] = color(positions, positions[aa]);
         } else{
             var dict = {}
             dict[positions[aa]] = "BLACK";
@@ -80,7 +79,7 @@ function checked(letter){
 
 //does the actual comparisons
 //This checks for amino acid conservation by common characteristics
-function aboveThreshold(positions, aa) { 
+function aboveThreshold(positions, aa) {
     var number = 0;
     for (acid in positions) {
         if (acid === '') {
@@ -91,7 +90,7 @@ function aboveThreshold(positions, aa) {
     var count = 0.0;
     var count2 = 0.0;
     var count3 = 0.0;
-    
+
     var letter = aa
     switch (letter) {
         case "A":
@@ -238,7 +237,7 @@ function aboveThreshold(positions, aa) {
               break;
         default: break;
     }
-    return false;   
+    return false;
 
 }
 
@@ -275,7 +274,7 @@ function color(positions, aa){
         case "Y":
               x = "DARKTURQUOISE";
               break;
-        case "P": 
+        case "P":
             x = "YELLOW";
               break;
         case "C":
@@ -315,15 +314,15 @@ function initializeCheckBoxes(){
         box.onclick = ( function() {
                         return createDisplay();
                          } )
-        
+
         var label = document.createElement('label')
         label.htmlFor = word;
         label.style = "margin-left:1px;";
         label.appendChild(document.createTextNode(word));
-        
+
         container.appendChild(box);
-        container.appendChild(label);   
-        box.checked = true 
+        container.appendChild(label);
+        box.checked = true
     }
 
     container.appendChild(document.createElement('br'));
diff --git a/anvio/data/interactive/js/constants.js b/anvio/data/interactive/js/constants.js
index 7d24b675bb..6ac5562012 100644
--- a/anvio/data/interactive/js/constants.js
+++ b/anvio/data/interactive/js/constants.js
@@ -1,3 +1,23 @@
+/**
+ * Constants used from various interface functions
+ *
+ *  Authors: A. Murat Eren <a.murat.eren@gmail.com>
+ *           Isaac Fink <iafink@uchicago.edu>
+ *           Ozcan Esen
+ *
+ * Copyright 2015-2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
 var COG_categories = {
     'A': '[A] RNA processing and modification',
     'B': '[B] Chromatin Structure and dynamics',
diff --git a/anvio/data/interactive/js/context-menu.js b/anvio/data/interactive/js/context-menu.js
index 13ae77c32b..c0e13f750e 100644
--- a/anvio/data/interactive/js/context-menu.js
+++ b/anvio/data/interactive/js/context-menu.js
@@ -1,9 +1,9 @@
 /**
- *  Handles right click menu
+ *  Handles right click menu functions
  *
- *  Author: Özcan Esen <ozcanesen@gmail.com>
- *  Credits: A. Murat Eren
- *  Copyright 2018, The anvio Project
+ *  Authors: Özcan Esen <ozcanesen@gmail.com>
+ *           A. Murat Eren
+ *           Matthew Klein <mtt.l.kln@gmail.com>
  *
  * This file is part of anvi'o (<https://github.com/merenlab/anvio>).
  *
@@ -17,6 +17,7 @@
  *
  * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
  */
+
 let outerLimit1;
 let outerLimit2;
 
diff --git a/anvio/data/interactive/js/contigs-plot.js b/anvio/data/interactive/js/contigs-plot.js
index e6f4f8f8e9..a616d73031 100644
--- a/anvio/data/interactive/js/contigs-plot.js
+++ b/anvio/data/interactive/js/contigs-plot.js
@@ -1,3 +1,21 @@
+/**
+ * Contigs db stats visualization
+ *
+ *  Authors: Ozcan Esen
+ *
+ * Copyright 2015-2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
 function draw_n_values_plot(container, stats) {
     var svg = d3.select(container)
         .append('svg')
@@ -45,7 +63,7 @@ function draw_n_values_plot(container, stats) {
                                     .attr('height', tooltip_pos.height)
                                     .attr('fill-opacity', '0.7')
                                     .attr('width', tooltip_pos.width);
-                                   
+
                             var tooltip_text = tooltip.append('text')
                                                 .attr('x', '10')
                                                 .attr('y', '15')
@@ -162,7 +180,7 @@ function draw_gene_counts_chart(container, gene_counts) {
                                         .attr('height', tooltip_pos.height)
                                         .attr('fill-opacity', '0.7')
                                         .attr('width', tooltip_pos.width);
-                                       
+
                                 var tooltip_text = tooltip.append('text')
                                                     .attr('x', '10')
                                                     .attr('y', '15')
diff --git a/anvio/data/interactive/js/drawer.js b/anvio/data/interactive/js/drawer.js
index 756ea9a5d7..e3385939a3 100644
--- a/anvio/data/interactive/js/drawer.js
+++ b/anvio/data/interactive/js/drawer.js
@@ -1,11 +1,10 @@
 /**
- * Javascript library to display phylogenetic trees
+ * Javascript library to display phylogenetic trees and more
  *
- *  Author: Özcan Esen <ozcanesen@gmail.com>
- *  Credits: A. Murat Eren
- *  Copyright 2015, The anvio Project
+ *  Authors: Özcan Esen <ozcanesen@gmail.com>
+ *           A. Murat Eren
  *
- * This file is part of anvi'o (<https://github.com/meren/anvio>).
+ * Copyright 2015-2021, The anvi'o project (http://anvio.org)
  *
  * Anvi'o is a free software. You can redistribute this program
  * and/or modify it under the terms of the GNU General Public
diff --git a/anvio/data/interactive/js/geneclusters.js b/anvio/data/interactive/js/geneclusters.js
index 30583cef8e..c4ef5ed483 100644
--- a/anvio/data/interactive/js/geneclusters.js
+++ b/anvio/data/interactive/js/geneclusters.js
@@ -1,11 +1,11 @@
 /**
  * Javascript library to visualize anvi'o gene clusterss
  *
- *  Author: A. Murat Eren <a.murat.eren@gmail.com>
- *  Credits: Özcan Esen
- *  Copyright 2016, The anvio Project
+ *  Authors: A. Murat Eren <a.murat.eren@gmail.com>
+ *           Özcan Esen
+ *           Mahmoud Yousef
  *
- * This file is part of anvi'o (<https://github.com/meren/anvio>).
+ * Copyright 2016-2021, The anvi'o project (http://anvio.org)
  *
  * Anvi'o is a free software. You can redistribute this program
  * and/or modify it under the terms of the GNU General Public
@@ -162,7 +162,7 @@ function createDisplay(){
 
             if (gene_cluster_data.genomes.indexOf(layer) === -1)
                 continue;
-            
+
             var rect = document.createElementNS('http://www.w3.org/2000/svg', 'rect');
             rect.setAttribute('x', 0);
             rect.setAttribute('y', y_cord);
@@ -187,7 +187,7 @@ function createDisplay(){
 
             sub_y_cord = y_cord + 5;
 	         gene_cluster_data.gene_caller_ids_in_genomes[layer].forEach(function (caller_id) {
-                sequence = gene_cluster_data.aa_sequences_in_gene_cluster[layer][caller_id]; 
+                sequence = gene_cluster_data.aa_sequences_in_gene_cluster[layer][caller_id];
                 var text = document.createElementNS('http://www.w3.org/2000/svg', 'text');
                 text.setAttribute('x', 0);
                 text.setAttribute('y', sub_y_cord);
@@ -232,7 +232,7 @@ function createDisplay(){
                     tspan.appendChild(document.createTextNode(acid));
 		            tspan.setAttribute('style', 'alignment-baseline:text-before-edge');
                     text.appendChild(tspan);
-                } 
+                }
 
                 fragment.appendChild(text);
 
@@ -267,7 +267,7 @@ function createDisplay(){
 
     $('[data-toggle="popover"]').on('shown.bs.popover', function (e) {
       var popover = $(e.target).data("bs.popover").$tip;
-      
+
       if ($(popover).css('top').charAt(0) === '-') {
         $(popover).css('top', '0px');
       }
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 4f8361aabb..095e2e9103 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -3,9 +3,9 @@
  *
  *  Authors: Isaac Fink <iafink@uchicago.edu>
  *           Matthew Klein <mtt.l.kln@gmail.com>
- *  Copyright 2021, The anvi'o project
+ *           A. Murat Eren <a.murat.eren@gmail.com>
  *
- * This file is part of anvi'o (<https://github.com/meren/anvio>).
+ * Copyright 2021, The anvi'o project (http://anvio.org)
  *
  * Anvi'o is a free software. You can redistribute this program
  * and/or modify it under the terms of the GNU General Public
@@ -18,7 +18,6 @@
  * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
  */
 
-
 $(document).ready(function() {
     initData();
 });
diff --git a/anvio/data/interactive/js/help-messages.js b/anvio/data/interactive/js/help-messages.js
index 47222c471c..e1b8b7d493 100644
--- a/anvio/data/interactive/js/help-messages.js
+++ b/anvio/data/interactive/js/help-messages.js
@@ -1,3 +1,22 @@
+/**
+ * Constants for tooltips
+ *
+ *  Authors: A. Murat Eren <a.murat.eren@gmail.com>
+ *           Ozcan Esen
+ *
+ * Copyright 2015-2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
 var help_contents = {
 	'load-state-button': 'Load a previously stored visual state from the profile database',
     'save-state-button': 'Save a snapshot of all user settings for layers into the profile database',
diff --git a/anvio/data/interactive/js/inspectionutils.js b/anvio/data/interactive/js/inspectionutils.js
index 46fc742600..c8d4094433 100644
--- a/anvio/data/interactive/js/inspectionutils.js
+++ b/anvio/data/interactive/js/inspectionutils.js
@@ -1,11 +1,11 @@
 /**
  * Helper funcitons for amvi'o inspection pages
  *
- *  Author: A. Murat Eren <a.murat.eren@gmail.com>
- *  Credits: Özcan Esen, Gökmen Göksel, Tobias Paczian.
- *  Copyright 2015, The anvio Project
+ *  Authors: A. Murat Eren <a.murat.eren@gmail.com>
+ *           Ozcan Esen
+ *           Isaac Fink <iafink@uchicago.edu>
  *
- * This file is part of anvi'o (<https://github.com/meren/anvio>).
+ * Copyright 2015-2021, The anvi'o project (http://anvio.org)
  *
  * Anvi'o is a free software. You can redistribute this program
  * and/or modify it under the terms of the GNU General Public
diff --git a/anvio/data/interactive/js/main.js b/anvio/data/interactive/js/main.js
index 7662d53e0f..acf5d6ceba 100644
--- a/anvio/data/interactive/js/main.js
+++ b/anvio/data/interactive/js/main.js
@@ -1,11 +1,11 @@
 /**
  * Javascript library for anvi'o interactive interface
  *
- *  Author: Özcan Esen <ozcanesen@gmail.com>
- *  Credits: A. Murat Eren, Doğan Can Kilment
- *  Copyright 2015, The anvio Project
+ *  Authors: A. Murat Eren <a.murat.eren@gmail.com>
+ *           Ozcan Esen
+ *           Isaac Fink <iafink@uchicago.edu>
  *
- * This file is part of anvi'o (<https://github.com/meren/anvio>).
+ * Copyright 2015-2021, The anvi'o project (http://anvio.org)
  *
  * Anvi'o is a free software. You can redistribute this program
  * and/or modify it under the terms of the GNU General Public
diff --git a/anvio/data/interactive/js/migrations.js b/anvio/data/interactive/js/migrations.js
index 5cf3e48580..cb8404b428 100644
--- a/anvio/data/interactive/js/migrations.js
+++ b/anvio/data/interactive/js/migrations.js
@@ -1,3 +1,20 @@
+/**
+ * Javascript library for state migrations
+ *
+ *  Authors: Ozcan Esen
+ *
+ * Copyright 2019-2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
 
 function migrate_state(state) {
     let current_version = state['version'];
@@ -37,7 +54,7 @@ function migrate_state(state) {
         for (let layer_name in state['stack_bar_colors']) {
             let bar_names = layer_name.split('!')[1].split(';');
             new_stack_bar_colors[layer_name] = {};
-            
+
             for (let j=0; j < bar_names.length; j++) {
                 new_stack_bar_colors[layer_name][bar_names[j]] = state['stack_bar_colors'][layer_name][j];
             }
@@ -52,7 +69,7 @@ function migrate_state(state) {
             for (let layer_name in state['samples-stack-bar-colors'][group]) {
                 let bar_names = layer_name.split('!')[1].split(';');
                 new_samples_stack_bar_colors[group][layer_name] = {};
-                
+
                 for (let j=0; j < bar_names.length; j++) {
                     new_samples_stack_bar_colors[group][layer_name][bar_names[j]] = state['samples-stack-bar-colors'][group][layer_name][j];
                 }
@@ -70,6 +87,6 @@ function migrate_state(state) {
         toastr.error(`Anvi'o failed to upgrade the state. State will be ignored.`);
         return {}
     }
-    
+
     return state;
 }
diff --git a/anvio/data/interactive/js/mouse-events.js b/anvio/data/interactive/js/mouse-events.js
index 7caafca84d..c27d25c1e7 100644
--- a/anvio/data/interactive/js/mouse-events.js
+++ b/anvio/data/interactive/js/mouse-events.js
@@ -1,10 +1,11 @@
 /**
  * Javascript user input handler functions for anvi'o interactive interface
  *
- *  Author: Özcan Esen <ozcanesen@gmail.com>
- *  Copyright 2015, The anvio Project
+ *  Authors: Ozcan Esen
+ *           Matthew Klein <mtt.l.kln@gmail.com>
+ *           A. Murat Eren <a.murat.eren@gmail.com>
  *
- * This file is part of anvi'o (<https://github.com/meren/anvio>).
+ * Copyright 2015-2021, The anvi'o project (http://anvio.org)
  *
  * Anvi'o is a free software. You can redistribute this program
  * and/or modify it under the terms of the GNU General Public
diff --git a/anvio/data/interactive/js/multiple.js b/anvio/data/interactive/js/multiple.js
index 4b74ef4ba6..6945722031 100644
--- a/anvio/data/interactive/js/multiple.js
+++ b/anvio/data/interactive/js/multiple.js
@@ -1,4 +1,21 @@
-//  Edit Attributes For Multiple Layers
+/**
+ * Edit Attributes For Multiple Layers
+ *
+ *  Authors: Ozcan Esen
+ *           Dogan Can Kilment
+ *
+ * Copyright 2015-2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
 
 $(document).ready(function() {
     $('.select_layer').on('change', function() {
@@ -85,7 +102,7 @@ $(document).ready(function() {
                 var row = $(this).parent().parent();
                 var combo = $(row).find(target_selector);
 
-                if (combo.find('option[value="' + new_val + '"]').length > 0) 
+                if (combo.find('option[value="' + new_val + '"]').length > 0)
                 {
                     combo.val(new_val).trigger('change');
                     return;
diff --git a/anvio/data/interactive/js/news.js b/anvio/data/interactive/js/news.js
index 537d93c8c2..a8e15f9bdf 100644
--- a/anvio/data/interactive/js/news.js
+++ b/anvio/data/interactive/js/news.js
@@ -1,3 +1,23 @@
+/**
+ * Javascript library to display anvi'o news.
+ *
+ *  Authors: Ozcan Esen
+ *           Isaac Fink <iafink@uchicago.edu>
+ *           A. Murat Eren <a.murat.eren@gmail.com>
+ *
+ * Copyright 2015-2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
 $(document).ready(function() {
     checkNews();
 });
diff --git a/anvio/data/interactive/js/sample.js b/anvio/data/interactive/js/sample.js
index 1a4354b439..632c920469 100644
--- a/anvio/data/interactive/js/sample.js
+++ b/anvio/data/interactive/js/sample.js
@@ -1,3 +1,23 @@
+/**
+ * Javascript library to visualize additional layer info
+ * (previously known as samples db)
+ *
+ *  Authors: Ozcan Esen
+ *           A. Murat Eren <a.murat.eren@gmail.com>
+ *
+ * Copyright 2015-2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
 var samples_categorical_colors = {};
 var samples_categorical_stats = {};
 var samples_stack_bar_colors = {};
@@ -91,7 +111,7 @@ $(document).ready(function() {
 
     $('#group_select_all').click(function() {
         let target_group = $('#group_list_for_select_all').val();
-        
+
         $('#tbody_samples tr').each((index, tr) => {
             let group = $(tr).attr('samples-group-name');
 
@@ -103,7 +123,7 @@ $(document).ready(function() {
 
     $('#group_unselect_all').click(function() {
         let target_group = $('#group_list_for_select_all').val();
-        
+
         $('#tbody_samples tr').each((index, tr) => {
             let group = $(tr).attr('samples-group-name');
 
@@ -224,7 +244,7 @@ function update_samples_layer_min_max(select) {
             if (max === null || Math.sqrt(parseFloat(samples_information_dict[group][lname][sample_name])) > max) {
                 max = Math.sqrt(parseFloat(samples_information_dict[group][lname][sample_name]));
             }
-        } 
+        }
         else if (norm == 'log') {
             if (max === null || log10(parseFloat(samples_information_dict[group][lname][sample_name]) + 1) > max) {
                 max = log10(parseFloat(samples_information_dict[group][lname][sample_name]) + 1);
@@ -244,7 +264,7 @@ function buildSamplesTable(samples_layer_order, samples_layers) {
         let first_sample = Object.keys(samples_information_dict[group])[0];
         for (let layer_name in samples_information_dict[group][first_sample]) {
             let found = false;
-            
+
             for (const [index, entry] of all_information_layers.entries()) {
                 if (entry['group'] == group && entry['layer_name'] == layer_name) {
                     found = true;
@@ -284,12 +304,12 @@ function buildSamplesTable(samples_layer_order, samples_layers) {
 
         var pretty_name = getNamedLayerDefaults(layer_name, 'pretty_name', layer_name);
         pretty_name = (pretty_name.indexOf('!') > -1) ? pretty_name.split('!')[0] : pretty_name;
-        
+
         var short_name = (pretty_name.length > 10) ? pretty_name.slice(0,10) + "..." : pretty_name;
 
         var hasSettings = false;
-        if (typeof(samples_layers) !== 'undefined' && 
-            typeof(samples_layers[group]) !== 'undefined' && 
+        if (typeof(samples_layers) !== 'undefined' &&
+            typeof(samples_layers[group]) !== 'undefined' &&
             typeof(samples_layers[group][layer_name]) !== 'undefined') {
                 hasSettings = true;
                 layer_settings = samples_layers[group][layer_name];
@@ -298,8 +318,8 @@ function buildSamplesTable(samples_layer_order, samples_layers) {
         if (isNumber(samples_information_dict[group][first_sample][layer_name]))
         {
             var data_type = "numeric";
-            
-            if (hasSettings) 
+
+            if (hasSettings)
             {
                 var norm         = layer_settings['normalization'];
                 var min          = layer_settings['min']['value'];
@@ -362,10 +382,10 @@ function buildSamplesTable(samples_layer_order, samples_layers) {
                                .replace(new RegExp('{max}', 'g'), max)
                                .replace(new RegExp('{margin}', 'g'), margin);
         }
-        else if (layer_name.indexOf(';') > -1) 
+        else if (layer_name.indexOf(';') > -1)
         {
             var data_type = "stack-bar";
-            
+
             if (hasSettings)
             {
                 var norm   = layer_settings['normalization'];
@@ -411,7 +431,7 @@ function buildSamplesTable(samples_layer_order, samples_layers) {
         else
         {
             var data_type = "categorical";
-            
+
             if (hasSettings)
             {
                 var height = layer_settings['height'];
@@ -464,7 +484,7 @@ function buildSamplesTable(samples_layer_order, samples_layers) {
         }
     }).keyup(function() {
         $(this).colpickSetColor(this.value);
-    });    
+    });
 }
 
 function drawSamples() {
@@ -499,7 +519,7 @@ function drawSamplesLayers(settings) {
 
         var start = (samples_layer_settings['height'] == 0) ? 0 : samples_layer_settings['margin'];
         var end   = start + samples_layer_settings['height'];
-        
+
         if (i > 0)
         {
             start += samples_layer_boundaries[i-1][1];
@@ -562,7 +582,7 @@ function drawSamplesLayers(settings) {
             }
             samples_end = Math.max(layer_index);
 
-            if (samples_layer_settings['data-type'] == 'numeric') 
+            if (samples_layer_settings['data-type'] == 'numeric')
             {
                 var value = _samples_information_dict[group][sample_name][samples_layer_name];
                 var min = parseFloat(samples_layer_settings['min']['value']);
@@ -609,7 +629,7 @@ function drawSamplesLayers(settings) {
                 rect.setAttribute('sample-group', group);
                 rect.setAttribute('layer-name', samples_layer_name);
             }
-            else if (samples_layer_settings['data-type'] == 'stack-bar') 
+            else if (samples_layer_settings['data-type'] == 'stack-bar')
             {
                 var norm = samples_layer_settings['normalization'];
                 var stack_bar_items = _samples_information_dict[group][sample_name][samples_layer_name].split(';');
@@ -743,9 +763,9 @@ function drawSamplesLayers(settings) {
                 drawText('samples', {
                         'x': layer_boundaries[samples_end][1] + 20,
                         'y': 0 - (samples_layer_boundaries[i][0] + samples_layer_boundaries[i][1]) / 2 + font_size / 6
-                    }, 
-                    getNamedLayerDefaults(samples_layer_name, 'pretty_name', samples_layer_name), 
-                    font_size + 'px', 
+                    },
+                    getNamedLayerDefaults(samples_layer_name, 'pretty_name', samples_layer_name),
+                    font_size + 'px',
                     'left',
                     samples_layer_settings['color'],
                     'baseline');
@@ -767,8 +787,8 @@ function drawSamplesLayers(settings) {
                 drawText('samples', {
                         'x': layer_boundaries[samples_end][1] + 20,
                         'y': 0 - (samples_layer_boundaries[i][0] + samples_layer_boundaries[i][1]) / 2 + font_size / 6
-                    }, 
-                    getNamedLayerDefaults(samples_pretty_name, 'pretty_name', samples_pretty_name), 
+                    },
+                    getNamedLayerDefaults(samples_pretty_name, 'pretty_name', samples_pretty_name),
                     font_size + 'px',
                     'left',
                     '#919191',
@@ -785,7 +805,7 @@ function drawSamplesLayers(settings) {
                     font_size + 'px',
                     'left',
                     samples_layer_settings['color'],
-                    'baseline');   
+                    'baseline');
             }
         }
     }
diff --git a/anvio/data/interactive/js/search.js b/anvio/data/interactive/js/search.js
index 99b4af801a..d97fab239b 100644
--- a/anvio/data/interactive/js/search.js
+++ b/anvio/data/interactive/js/search.js
@@ -1,5 +1,22 @@
-
-function searchContigs() 
+/**
+ * Search functions for the interactive interface.
+ *
+ *  Authors: Ozcan Esen
+ *
+ * Copyright 2015-2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
+function searchContigs()
 {
     var svalue = $('#searchValue').val();
 
@@ -11,7 +28,7 @@ function searchContigs()
     var column = $('#searchLayerList').val();
     search_column = (column == 0) ? 'Item Name' : layerdata[0][column];
     var operator = $('#searchOperator').val();
-    
+
     if (operator < 6)
     {
         var operator_text = $('#searchOperator option:selected').text();
@@ -81,7 +98,7 @@ function searchFunctions() {
                         var _accession      = data['results'][i][3];
                         var _annotation     = data['results'][i][4];
                         var _search_term    = data['results'][i][5];
-                        var _split_name     = data['results'][i][6];                        
+                        var _split_name     = data['results'][i][6];
                     }
                     else
                     {
@@ -94,10 +111,10 @@ function searchFunctions() {
                     }
 
                     var _beginning = _annotation.toLowerCase().indexOf(_search_term.toLowerCase());
-                    _annotation = [_annotation.slice(0, _beginning), 
-                                   '<mark>', 
-                                   _annotation.slice(_beginning, _beginning + _search_term.length), 
-                                   '</mark>', 
+                    _annotation = [_annotation.slice(0, _beginning),
+                                   '<mark>',
+                                   _annotation.slice(_beginning, _beginning + _search_term.length),
+                                   '</mark>',
                                    _annotation.slice(_beginning + _search_term.length, _annotation.length)
                                    ].join("");
 
@@ -196,11 +213,11 @@ function highlightResult() {
         highlighted_splits.push(search_results[i]['split']);
     }
 
-    bins.HighlightItems(highlighted_splits); 
+    bins.HighlightItems(highlighted_splits);
 }
 
 function highlightSplit(name) {
-    bins.HighlightItems(name); 
+    bins.HighlightItems(name);
 }
 
 function appendResult() {
diff --git a/anvio/data/interactive/js/structure.js b/anvio/data/interactive/js/structure.js
index c4dffc62ed..b3bb2317db 100644
--- a/anvio/data/interactive/js/structure.js
+++ b/anvio/data/interactive/js/structure.js
@@ -1,3 +1,22 @@
+/**
+ * Javascript library to visualize gene structures
+ *
+ *  Authors: Evan Kiefl <kiefl.evan@gmail.com>
+ *           Ozcan Esen
+ *
+ * Copyright 2015-2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
 const mode = 'structure';
 const MAX_NGL_WIDGETS = 16;
 
@@ -82,8 +101,8 @@ $(document).ready(function() {
         url: '/data/get_initial_data?timestamp=' + new Date().getTime(),
         success: function(data) {
             let available_gene_callers_ids = data['available_gene_callers_ids'];
-            let available_engines = data['available_engines']; 
-            sample_groups = data['sample_groups']; 
+            let available_engines = data['available_engines'];
+            sample_groups = data['sample_groups'];
 
             available_gene_callers_ids.forEach(function(gene_callers_id) {
                 $('#gene_callers_id_list').append(`<option id=${gene_callers_id}>${gene_callers_id}</option>`);
@@ -134,7 +153,7 @@ function load_sample_group_widget(category, trigger_create_ngl_views=true) {
                     <input class="form-check-input"
                         checkbox-for="group"
                         id="${category}_${group}"
-                        type="checkbox" 
+                        type="checkbox"
                         data-category="${category}"
                         data-group="${group}"
                         value="${group}"
@@ -151,13 +170,13 @@ function load_sample_group_widget(category, trigger_create_ngl_views=true) {
 
             tableHtml += `
                 <div class="table-group-checkbox" style="display: inline-block; float: left;">
-                    <input class="form-check-input" 
+                    <input class="form-check-input"
                             id="${category}_${group}_${sample}"
-                            type="checkbox" 
+                            type="checkbox"
                             data-category="${category}"
                             data-group="${group}"
                             data-sample="${sample}"
-                            value="${sample}" 
+                            value="${sample}"
                             ${sample_checked ? 'checked="checked"' : ''}>
                     <label class="form-check-label" for="${category}_${group}_${sample}">${sample}</label>
                 </div>`;
@@ -175,7 +194,7 @@ function load_sample_group_widget(category, trigger_create_ngl_views=true) {
 
 function apply_orientation_matrix_to_all_stages(orientationMatrix) {
     for (let group in stages) {
-        stages[group].viewerControls.orient(orientationMatrix); 
+        stages[group].viewerControls.orient(orientationMatrix);
     }
     cached_orientation_matrices[$('#gene_callers_id_list').val()] = orientationMatrix;
 }
@@ -217,8 +236,8 @@ async function create_single_ngl_view(group, num_rows, num_columns) {
     var defer = $.Deferred();
 
     $('#ngl-container').append(`
-        <div id="ngl_${group}_wrapper" 
-             class="col-md-${parseInt(12 / num_columns)} nopadding" 
+        <div id="ngl_${group}_wrapper"
+             class="col-md-${parseInt(12 / num_columns)} nopadding"
              style="height: ${parseFloat(100 / num_rows)}%; ">
              <div class="ngl-group-title">
                 ${group}
@@ -347,7 +366,7 @@ async function create_single_ngl_view(group, num_rows, num_columns) {
 
             if (pickingProxy && pickingProxy.atom) {
                 if (pickingProxy.atom.resno != previous_hovered_residue && !(['always', 'variant residue'].includes($('#show_ballstick_when').val()))) {
-                    // remove ball+stick if hovered residue changed or 
+                    // remove ball+stick if hovered residue changed or
                     if (pickingProxy.atom.resno != previous_hovered_residue) {
                         stage.compList[0].reprList.slice(0).forEach((rep) => {
                             if (rep.name == 'ball+stick') {
@@ -373,7 +392,7 @@ async function create_single_ngl_view(group, num_rows, num_columns) {
                         for (i in contacts) {
                             if (contacts[i] == String(residue)) {
                                 variant_contacts.push(contacts[i]);
-                            } 
+                            }
                             else if (variability[group].hasOwnProperty(parseInt(contacts[i]))) {
                                 variant_contacts.push(contacts[i]);
                             }
@@ -929,7 +948,7 @@ function draw_variability() {
                     }
                     else
                     {
-                        spacefill_options['color'] = color_legend[engine][column][column_value];   
+                        spacefill_options['color'] = color_legend[engine][column][column_value];
                     }
                 } else {
                     spacefill_options['color'] = $('#color_static').attr('color');
@@ -1100,13 +1119,13 @@ function create_ui() {
                     $(container).append(`
                         <div class="widget" data-column="${item['name']}" data-controller="${item['as_filter']}">
                             <span class="settings-header"><h5>${item['title']}</h5></span><br />
-                            <svg id="histogram_${item['name']}" width="100%" height="30" style="position: relative; top: 6;" viewBox="0 0 200 30" preserveAspectRatio="none"></svg>   
-                            <input id="${item['name']}" 
-                                    type="${item['data_type']}" 
+                            <svg id="histogram_${item['name']}" width="100%" height="30" style="position: relative; top: 6;" viewBox="0 0 200 30" preserveAspectRatio="none"></svg>
+                            <input id="${item['name']}"
+                                    type="${item['data_type']}"
                                     data-provide="slider"
-                                    data-slider-min="${item['min']}" 
-                                    data-slider-max="${item['max']}" 
-                                    data-slider-step="${item['step']}" 
+                                    data-slider-min="${item['min']}"
+                                    data-slider-max="${item['max']}"
+                                    data-slider-step="${item['step']}"
                                     data-slider-value="[${min_val},${max_val}]"
                                     >
                         </div>
@@ -1221,7 +1240,7 @@ function onTargetColumnChange(element) {
 
         $(`#${prefix}_min`).val(selected_column_info['min']);
         $(`#${prefix}_max`).val(selected_column_info['max']);
-    } 
+    }
     else
     {
         $(`#${prefix}_numerical_panel`).hide();
@@ -1237,7 +1256,7 @@ function onTargetColumnChange(element) {
 
             if (prefix == 'color') {
                 $(`#color_legend_panel`).append(`<div class="col-md-4">
-                                                 <div class="colorpicker colorpicker-legend" 
+                                                 <div class="colorpicker colorpicker-legend"
                                                       color="${value}"
                                                       style="background-color:${value}"
                                                       data-engine="${engine}"
@@ -1342,12 +1361,12 @@ function move_codon_number_to_index(data) {
 async function make_image(group, sample) {
     let blob;
     let image_options = {
-        'trim': $('#trim').is(':checked'), 
+        'trim': $('#trim').is(':checked'),
         'factor': $('#scale').val(),
         'transparent': $('#transparent').is(':checked'),
         'antialias': $('#antialias').is(':checked')
     }
-    
+
     if (typeof sample === 'undefined') {
         // no sample requested, we generate image for merged.
         blob = await stages[group].viewer.makeImage(image_options);
@@ -1448,7 +1467,7 @@ function store_variability() {
             console.log(request, status, error);
             $('.overlay').hide();
         }
-    }); 
+    });
 }
 
 function store_structure_as_pdb(path_id, success_id, failure_id) {
@@ -1783,7 +1802,7 @@ function showSaveStateWindow()
                 var _select = "";
                 if (state_name == current_state_name)
                 {
-                    _select = ' selected="selected"'; 
+                    _select = ' selected="selected"';
                 }
                 $('#saveState_list').append('<option ' + _select + '>' + state_name + '</option>');
             }
@@ -1798,7 +1817,7 @@ function showSaveStateWindow()
     });
 }
 
-function saveState() 
+function saveState()
 {
     var name = $('#saveState_name').val();
 
diff --git a/anvio/data/interactive/js/svg-helpers.js b/anvio/data/interactive/js/svg-helpers.js
index eb81b14767..6b46d8b168 100644
--- a/anvio/data/interactive/js/svg-helpers.js
+++ b/anvio/data/interactive/js/svg-helpers.js
@@ -1,12 +1,12 @@
 /**
- *  SVG drawing functions.
+ *  Helper functions to draw SVG objects.
  *
- *  Author: Özcan Esen <ozcanesen@gmail.com>
- *  Credits: A. Murat Eren
- *  Copyright 2017, The anvio Project
- *
- * This file is part of anvi'o (<https://github.com/meren/anvio>).
+ *  Authors: Ozcan Esen
+ *           Matthew Klein <mtt.l.kln@gmail.com>
+ *           A. Murat Eren <a.murat.eren@gmail.com>
  *
+ * Copyright 2015-2021, The anvi'o project (http://anvio.org)
+
  * Anvi'o is a free software. You can redistribute this program
  * and/or modify it under the terms of the GNU General Public
  * License as published by the Free Software Foundation, either
diff --git a/anvio/data/interactive/js/tree.js b/anvio/data/interactive/js/tree.js
index 03f4c8d570..62013158fb 100644
--- a/anvio/data/interactive/js/tree.js
+++ b/anvio/data/interactive/js/tree.js
@@ -1,17 +1,17 @@
 /**
  * Javascript library to parse newick trees
  *
- *  Author: Özcan Esen <ozcanesen@gmail.com>
- *  Credits: A. Murat Eren
- *  Copyright 2015, The anvio Project
+ *  Authors: Özcan Esen <ozcanesen@gmail.com>
+ *           Matthew Klein <mtt.l.kln@gmail.com>
+ *           A. Murat Eren <a.murat.eren@gmail.com>
+ *
+ * Copyright 2015-2021, The anvi'o project (http://anvio.org)
  *
- * This file is part of anvi'o (<https://github.com/meren/anvio>).
- * 
  * Anvi'o is a free software. You can redistribute this program
- * and/or modify it under the terms of the GNU General Public 
- * License as published by the Free Software Foundation, either 
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
  * version 3 of the License, or (at your option) any later version.
- * 
+ *
  * You should have received a copy of the GNU General Public License
  * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
  *
@@ -330,7 +330,7 @@ Tree.prototype.Parse = function(str, edge_length_norm) {
                             i++;
                             if (isNumber(token[i])) {
                                 curnode.original_edge_length = parseFloat(token[i]);
-                                
+
                                 // normalization of edge lengths
                                 if (edge_length_norm) {
                                     curnode.edge_length = Math.sqrt(parseFloat(token[i]) * 1000000) / 1000000;
@@ -461,7 +461,7 @@ function NodeIterator(root)
 }
 
 
-NodeIterator.prototype.Begin = function() 
+NodeIterator.prototype.Begin = function()
 {
 /*    if (this.root.constructor === Array)
     {
@@ -478,7 +478,7 @@ NodeIterator.prototype.Begin = function()
 };
 
 
-NodeIterator.prototype.Next = function() 
+NodeIterator.prototype.Next = function()
 {
 /*    if (this.root.constructor === Array)
     {
@@ -522,14 +522,14 @@ function PreorderIterator()
 };
 
 
-PreorderIterator.prototype.Begin = function() 
+PreorderIterator.prototype.Begin = function()
 {
     this.cur = this.root;
     return this.cur;
 };
 
 
-PreorderIterator.prototype.Next = function() 
+PreorderIterator.prototype.Next = function()
 {
     if (this.cur.child)
     {
diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index 6b815c426c..ffe4ba7622 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -1,10 +1,10 @@
 /**
  * Utility functions for anvi'o interactive interface
  *
- *  Author: Özcan Esen <ozcanesen@gmail.com>
- *  Copyright 2015, The anvio Project
+ *  Authors: Özcan Esen <ozcanesen@gmail.com>
+ *           A. Murat Eren <a.murat.eren@gmail.com>
  *
- * This file is part of anvi'o (<https://github.com/meren/anvio>).
+ * Copyright 2015-2021, The anvi'o project (http://anvio.org)
  *
  * Anvi'o is a free software. You can redistribute this program
  * and/or modify it under the terms of the GNU General Public
@@ -93,13 +93,13 @@ function fire_up_ncbi_blast(sequence, program, database, target)
 
     if (typeof program !== 'undefined')
         post_variables['PROGRAM'] = program;
-    
+
     if (typeof database !== 'undefined')
         post_variables['DATABASE'] = database;
 
     var blast_window = window.open('about:blank', '_blank');
     var form = document.createElement('form');
-    
+
     form.action = 'https://blast.ncbi.nlm.nih.gov/Blast.cgi';
     form.method = 'POST';
 
@@ -134,7 +134,7 @@ function generate_inspect_link(options) {
             }
             else if (type == 'inspect_gene') {
                 new_url = 'charts.html?id=' + item_name + '&highlight_gene=true&gene_mode=true';
-            } 
+            }
             else if (type == 'inspect_geneclusters') {
                 new_url = 'geneclusters.html?id=' + item_name;
             }
@@ -478,37 +478,37 @@ function strip(html)
 }
 
 //--------------------------------------------------------------------------------------------------
-function clearMinMax(selectbox) 
+function clearMinMax(selectbox)
 {
     var tr = $(selectbox).parent().parent();
 
     $(tr).find('.input-min').val('0').prop('disabled', true);
-    $(tr).find('.input-max').val('0').prop('disabled', true);     
+    $(tr).find('.input-max').val('0').prop('disabled', true);
 }
 
 function togglePickerStart(selectbox, togglePicker)
 {
     var tr = $(selectbox).parent().parent();
 
-    if(selectbox.value=='intensity' || selectbox.value=='line' || selectbox.value=='text') {  
+    if(selectbox.value=='intensity' || selectbox.value=='line' || selectbox.value=='text') {
         $(tr).find('.picker_start').css('visibility', 'visible');
         if (togglePicker) {
             $(tr).find('.picker_end').css('visibility', 'visible');
             $(tr).find('.input-height').css('visibility', 'hidden');
             $('.max-font-size-input').show();
         }
-    } else { 
+    } else {
         $(tr).find('.picker_start').css('visibility', 'hidden');
         if (togglePicker) {
             $(tr).find('.picker_end').css('visibility', 'hidden');
             $(tr).find('.input-height').css('visibility', 'visible');
             $(tr).find('.input-height').val('30');
         }
-    }  
+    }
 }
 
 /* Poor man's timer.
- * 
+ *
  *     function ...(...) {
  *         var my_timer = new BasicTimer('my_func');
  *         (...)
@@ -519,7 +519,7 @@ function togglePickerStart(selectbox, togglePicker)
  *         my_timer.getDeltaSeconds('End');
  *     }
  *
- */ 
+ */
 function BasicTimer(name) {
     this.name = name;
     this.start = new Date().getTime();
@@ -531,7 +531,7 @@ function BasicTimer(name) {
         deltaSecondsPrev = (this.now - this.previousDelta) / 1000;
 
         this.previousDelta = this.now;
-        
+
         consoleOutput = typeof consoleOutput !== 'undefined' ? consoleOutput: true;
 
         prettyText = this.name + ' [' + event + ']: ' + readableNumber(deltaSecondsPrev) + ' seconds (' + readableNumber(deltaSecondsStart) + ' seconds since beginning)';
@@ -646,9 +646,9 @@ function removeSingleParents()
 {
     // layerdata and parameter count is global
 
-    for (var i = 1; i < parameter_count; i++) 
+    for (var i = 1; i < parameter_count; i++)
     {
-        if (layerdata[0][i] == '__parent__') 
+        if (layerdata[0][i] == '__parent__')
         {
             var parent_count_dict = {};
             for (var j=1; j < layerdata.length; j++)

From 86ecc6c8705186e6f75ca08098b0f53a3f6f8075 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 13 Apr 2021 11:18:20 -0500
Subject: [PATCH 0015/1020] add functionality from testing branch

---
 anvio/data/interactive/css/genomeview.css     | 130 +++++++
 anvio/data/interactive/genomeview.html        | 198 +++++++++-
 anvio/data/interactive/js/genomeview.js       | 357 ++++++++++++++++++
 anvio/data/interactive/lib/fabric.js          |   1 +
 .../lib/genomeViewIGDDAta/genedata_1001.json  |   1 +
 .../lib/genomeViewIGDDAta/genedata_437.json   |   1 +
 .../lib/genomeViewIGDDAta/genedata_798.json   |   1 +
 7 files changed, 680 insertions(+), 9 deletions(-)
 create mode 100644 anvio/data/interactive/css/genomeview.css
 create mode 100644 anvio/data/interactive/lib/fabric.js
 create mode 100644 anvio/data/interactive/lib/genomeViewIGDDAta/genedata_1001.json
 create mode 100644 anvio/data/interactive/lib/genomeViewIGDDAta/genedata_437.json
 create mode 100644 anvio/data/interactive/lib/genomeViewIGDDAta/genedata_798.json

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
new file mode 100644
index 0000000000..32d8d3d44b
--- /dev/null
+++ b/anvio/data/interactive/css/genomeview.css
@@ -0,0 +1,130 @@
+.container {
+    width: 95%; //this is being overwritten though.
+    align-content: center;
+    margin: 0 auto 20px auto;
+    background: rgba(255,255,255,0.5);
+    box-shadow: 1px 1px 4px rgba(0,0,0,0.2);
+    padding: 20px 30px;
+    touch-action: none;
+}
+
+#myCanvas {
+}
+
+
+#tooltip-body{
+    height: 300px;
+    width: 300px;
+    background-color: lavenderblush;
+    opacity: 85%;
+    border-style: solid;
+    border-width: 3px;
+    border-radius: 15px;
+}
+
+
+#toggle-panel-settings {
+    position: fixed;
+    height: 100px;
+    width: 15px;
+    background-color: #EEEEEE;
+    border: solid 1px #DDDDDD;
+    top: calc(40%);
+    border-radius: 10px 0px 0px 10px;
+    cursor: pointer;
+    font-size: 10px;
+    padding-top: 14px;
+    right: 0px;
+    z-index: 999;
+}
+
+#settings-panel {
+  	display: none;
+    top: 0px;
+    right: 0px;
+    position: fixed;
+    height: 100%;
+    background: url('../images/fractal.jpg') center center scroll;
+    border-left: 1px solid #D3D3D3;
+    opacity: 0.9;
+    width: 420px;
+    padding: 20px;
+    font-family: "Helvetica Neue",Helvetica,Arial,sans-serif;
+    overflow-y: scroll;
+    z-index: 999;
+    color: black;
+}
+
+.settings-header {
+    font-variant: small-caps;
+    font-size: 1.2em;
+    border-bottom: 1px #969696 solid;
+    display: block;
+    margin-bottom: 5px;
+    margin-top: 12px;
+}
+
+.settings-section-info {
+    background: #e7f3381a;
+    padding: 3px 6px 5px 10px;
+    border: 1px dashed #a9a9a9;
+    border-radius: 9px;
+    font-size: 12px;
+}
+
+#settings-section-info-SNV-warning {
+  display: none;
+  color: red;
+}
+
+#settings-panel code {
+	padding: 1.4px 2px;
+    font-size: 90%;
+    color: #c7254e;
+    background-color: #f3f3f3;
+    border-radius: 2px;
+}
+
+.settings-info-line {
+    text-align: center;
+    border: 1px dashed #c5c5c5;
+    background: #f3f3f3;
+    width: 40%;
+    margin: auto;
+    border-radius: 7px;
+    font-style: italic;
+}
+
+.toggle-panel-settings-pos {
+    right: 420px !important;
+}
+
+#settings-panel .btn {
+    margin-bottom: 5px !important;
+}
+
+.sidebar-footer {
+    position: fixed;
+    background-color: white;
+    width: 420px;
+    bottom: -0px;
+    border-top: 1px solid #D3D3D3;
+    border-right: 1px solid #D3D3D3;
+}
+
+.sidebar-footer > .btn {
+    width: 50%;
+}
+
+body{
+    font-family: 'Lato', Arial, serif;
+    font-weight: 300;
+    font-size: 14px;
+    color: #888;
+    -webkit-font-smoothing: antialiased;
+}
+
+a{
+    color: #722;
+    text-decoration: none;
+}
diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index f852ec9d12..ed16297d22 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -1,15 +1,195 @@
-<html>
+<!DOCTYPE html>
+<html lang="en">
+    <head>
+        <title id="window-title">Genome View</title>
+        <meta name="google" value="notranslate">
+        <meta charset="UTF-8" />
+        <link rel="stylesheet" href="lib/bootstrap/dist/css/bootstrap.min.css" />
+        <link rel="stylesheet" type="text/css" href="./css/genomeview.css" />
+        <link rel="shortcut icon" href="#">
+        <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
+        <script type="text/javascript" src="./js/genomeview.js"></script>
+        <script type="text/javascript" src="./js/constants.js"></script>
 
-<head>
-    <title>Genome View</title>
-    <meta name="google" value="notranslate">
+        <script src="./lib/fabric.js"></script>
+        <script src="./lib/genomeViewIGDData/genedata_1001.json"></script>
+        <script src="./lib/genomeViewIGDData/genedata_437.json"></script>
+        <script src="./lib/genomeViewIGDData/genedata_798.json"></script>
+    </head>
+    <body>
+        <div class="container">
+            <canvas id="myCanvas" width="1200px" height="500px"></canvas>
+            <div id='tooltip-body' display='none'></div>
 
-    <script type="text/javascript" src="lib/jquery/dist/jquery.min.js"></script>
-    <script type='text/javascript' src='lib/d3.js/d3.min.js'></script>
+            <div id="toggle-panel-settings" onclick="toggleSettingsPanel()">
+              <span id="toggle-panel-settings-inner">&#9664;</span><span style="display: block; font-size: 11px; transform: rotate(90deg);"><u>S</u>ETTINGS</span>
+            </div>
 
-    <script type='text/javascript' src='js/genomeview.js'></script>
-</head>
+            <div id="settings-panel">
+                  <div id="sidebar">
+                        <div class="tab-content"></div>
 
-<div id="genomeview">Check your JavaScript console! :)</div>
+                        <tr>
+                          <td>Align to Gene Cluster: </td>
+                          <td><input id="geneClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
+                        </tr>
 
+                        <span class="settings-header">Get Sequence for a Range or Selection</span>
+                        <p class="settings-section-info">Using your mouse, you can make regional selections through the panel at the bottom of the inspection screen. Through this section you can make more precise selections by explicitly defining a range, and can get sequences for the selected region or for the entire split.</p>
+
+                        <div id="range-box"></div>
+                        <button type="button" class="btn btn-primary btn-xs" onclick="show_sequence_modal('Sequence', page_header + '\n' + sequence);">Get the entire split sequence</button><br />
+                        <button type="button" class="btn btn-primary btn-xs disabled btn-selection-sequence"  onclick="show_selected_sequence();" disabled>Get sequence of selected area</button><br />
+
+
+                        <span class="settings-header">Overlay GC Content</span>
+                        <p class="settings-section-info">GC content may explain some variation in coverage (<a href="http://merenlab.org/2016/12/14/coverage-variation/" target="_blank">more info on wavy coverage patterns</a>). Using this section you can overlay GC content signal on your mapping results. The GC content of the reference sequence calculated as the moving average of a 'sliding window' sampled every 'step size'.</p>
+                        <table id="gc-overlay" style="margin-bottom: 20px;">
+                          <tbody>
+                            <tr>
+                              <td>Sliding window size (nt):</td>
+                              <td><input type="text" class="form-control input-sm" id="gc_window_size" value="100"></td>
+                            </tr>
+                            <tr>
+                              <td>Step size:</td>
+                              <td><input type="text" class="form-control input-sm" id="gc_step_size" value="20"></td>
+                            </tr>
+                            <tr>
+                              <td>Color:</td>
+                              <td><div class="colorpicker" id="gc_overlay_color" color="#008000" style="background-color: #008000"></div></td>
+                            </tr>
+                          </tbody>
+                        </table>
+
+                        <button type="button" class="btn btn-primary btn-xs" onclick="applyOverlayGCContent();">Apply overlay</button>
+                        <button type="button" class="btn btn-primary btn-xs" onclick="resetOverlayGCContent();">Reset overlay</button>
+
+
+                        <span class="settings-header">Set/Reset Maximum Values</span>
+                        <p class="settings-section-info">The y-axis on the left hand-side of each plot is automatically sclaed per sample as a function of the maximum coverage value. Using this section you can change the y-axis maximum for each sample independently, or set a single value for all samples to make coverages more comparable.</p>
+                        <button type="button" class="btn btn-primary btn-xs" onclick="showSetMaxValuesDialog()" class="btn btn-outline-primary">Set maximum values</button><br />
+                        <button type="button" class="btn btn-primary btn-xs" onclick="resetMaxValues()" class="btn btn-outline-primary">Reset maximum values</button><br />
+
+
+                        <span class="settings-header">SNVs and IN/DELS</span>
+                        <p class="settings-section-info">Show or hide single-nucleotide variant information and/or insertion/deletions anvi'o identified during the profiling of read recruitment. IN/DELs reaching the specified min sequence length will be marked in red. <a href="http://merenlab.org/2015/07/20/analyzing-variability/" target="_blank">See this</a> for more information on how to study microbial population genetics in anvi'o beyond displaying them in the context of reference sequences.</p>
+                        <p class="settings-section-info" id="settings-section-info-SNV-warning"></p>
+                        <table id="toggleSNVIndelTable" style="margin-bottom: 20px;">
+                          <tbody>
+                            <tr id="snv_picker">
+                              <td><div style="width: 20px;"><input id="toggle_label_box" type="checkbox" class="layer_selectors"></div></td>
+                              <td>Show Labels</td>
+                            </tr>
+                            <tr id="indels_picker">
+                              <td><div style="width: 20px;"><input id="toggle_indel_box" type="checkbox" class="layer_selectors"></div></td>
+                              <td>Show IN/DELs</td>
+                            </tr>
+                          </tbody>
+                        </table>
+
+                        <table id="indels" style="margin-bottom: 20px;">
+                          <tbody>
+                            <!-- <tr>
+                              <td>Min coverage of IN/DELS to show: </td>
+                              <td><input id="minIndelInput" class="form-control input-sm" type="text" value="" size="4"></td>
+                            </tr> -->
+                            <tr>
+                              <td>Mark IN/DELs greater than sequence length: </td>
+                              <td><input id="largeIndelInput" class="form-control input-sm" type="text" value="" size="4"></td>
+                            </tr>
+                          </tbody>
+                        </table>
+
+
+                        <span class="settings-header">Dynamic display features</span>
+                        <p class="settings-section-info">If you zoom in enough on a region, nucleotide and codon information will appear at the bottom of your screen when applicable. Here you can toggle that feature and/or disable vertical lines that highlight the position of your mouse on the screen.</p>
+                        <table style="margin-bottom: 20px;">
+                          <tbody>
+                            <tr>
+                              <td><div style="width: 20px;"><input id="toggle_nucl_box" type="checkbox" class="layer_selectors"></div></td>
+                              <td>Show nucleotides for selected sequence</td>
+                            </tr>
+                            <tr>
+                              <td><div style="width: 20px;"><input id="toggle_highlight_box" type="checkbox" class="layer_selectors"></div></td>
+                              <td>Show vertical mouse-over highlight box</td>
+                            </tr>
+                          </tbody>
+                        </table>
+
+
+                        <span class="settings-header">Genes</span>
+                        <p class="settings-section-info">Change colors of genes based on their functional annotations. You can also manually color genes temporarily. First, righ-click on a gene. It will add the gene into the list below with a default color. Then, you can use the color picker next to it to set a color manually. To see the effect of changing colors, you need to press the 'Redraw Gene Arrows' button.</p>
+                        <button type="button" class="btn btn-primary btn-xs" onclick="resetFunctionColors()" class="btn btn-outline-primary">Reset Function colors</button>
+                        <button type="button" class="btn btn-primary btn-xs" onclick="redrawArrows()" class="btn btn-outline-primary">Redraw Gene Arrows</button>
+                        <button type="button" class="btn btn-primary btn-xs" onclick="toggleShowCagsInSplit()" class="btn btn-outline-primary">Show only categories in this split</button>
+
+                        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
+                          <label id="gene_colors_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="gene_color_order" data-original-title="" title="">Color genes by:</label>
+                          <div class="col-md-8">
+                            <select id="gene_color_order" stsyle="margin-bottom: 10px" class="form-control input-xs"></select>
+                          </div>
+                        </div>
+
+                        <br><br><br><br>
+              </div>
+
+              <div class="btn-group sidebar-footer" role="group" style="margin-top: 5px; padding-right: 20px; padding-bottom: 5px;">
+                <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 5px" onclick="showLoadStateWindow();" data-help="load-state-button" data-original-title="" title=""><span class="glyphicon glyphicon-floppy-open" aria-hidden="true"></span> Load State</button>
+                <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 5px" onclick="showSaveStateWindow();" data-help="save-state-button" disabled-in-read-only="true" data-original-title="" title=""><span class="glyphicon glyphicon-floppy-save" aria-hidden="true"></span> Save State</button>
+              </div>
+            </div>
+
+            <!-- LOAD STATE -->
+            <div class="modal fade" id="modLoadState" style="display: none">
+                <div class="modal-dialog">
+                    <div class="modal-content">
+                        <div class="modal-header">
+                            <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
+                            <h4 class="modal-title">Load State</h4>
+                        </div>
+
+                        <div class="modal-body">
+                            <select class="form-control" size="10" id="loadState_list" ondblclick="loadState();" onchange="$('#loadState_lastmodified').html('Last modified: ' + $('#loadState_list option:selected').attr('lastmodified')); "></select>
+                            <br />
+                            <div id="loadState_lastmodified">Last modified: n/a</div>
+                        </div>
+
+                        <div class="modal-footer">
+                            <button type="button" class="btn btn-primary" onclick="loadState();">Load</button>
+                            <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
+                        </div>
+                    </div>
+                </div>
+            </div>
+
+            <!-- SAVE STATE -->
+            <div class="modal fade" id="modSaveState" style="display: none">
+                <div class="modal-dialog">
+                    <div class="modal-content">
+                        <div class="modal-header">
+                            <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
+                            <h4 class="modal-title">Save State</h4>
+                        </div>
+
+                        <div class="modal-body">
+                            <div class="form-group">
+                                <select class="form-control" id="saveState_list" size="10" onchange="$('#saveState_name').val(this.value);" ondblclick="saveState();"></select>
+                            </div>
+                            <div class="form-group">
+                                    <label class="col-md-2 settings-label label-big" for="saveState_name">Name: </label>
+                                    <div class="col-md-10">
+                                        <input type="text" id="saveState_name" class="form-control" />
+                                    </div>
+                            </div>
+                        </div>
+
+                        <div class="modal-footer">
+                            <button type="button" class="btn btn-primary" onclick="saveState();">Save</button>
+                            <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
+                        </div>
+                    </div>
+                </div>
+            </div>
+        </div>
+    </body>
 </html>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 095e2e9103..388ab380b4 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -18,8 +18,318 @@
  * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
  */
 
+ var VIEWER_WIDTH = window.innerWidth || document.documentElement.clientWidth || document.getElementsByTagName('body')[0].clientWidth;
+
+ var canvas;
+ var genomeMax = 0;
+ var genomes;
+
+ // Settings vars
+
+ var spacing = 30; // genome spacing
+ var showLabels = true; // show genome labels?
+ var showScale = true; // show nt scale?
+ var scale = 100; // nt scale intervals
+
+ var alignToGC = null;
+
+ var color_db;
+ var cog_annotated = true, kegg_annotated = false;
+ // doesn't make sense to iterate through every gene with dozens of genomes...
+ // will need to find an efficient way to find these automatically
+
+var genomeData;
+
 $(document).ready(function() {
     initData();
+
+    function loadAll() {
+      canvas = new fabric.Canvas('myCanvas');
+      $('#tooltip-body').hide() // set initual tooltip hide value
+      $('#toggle_label_box').attr("checked", showLabels);
+
+      // can either set it on the canvas to check for all arrows, or when arrow is created.
+      canvas.on('mouse:down', function(options) {
+        if(options.target && options.target.id == 'arrow') {
+          options.target.set('fill', options.target.fill=="red" ? "blue" : 'red');
+          var testid = options.target.gene.gene_callers_id;
+          console.log(options.target.gene);
+        }
+      });
+
+      canvas.on('mouse:over', (event) => {
+        if(event.target && event.target.id === 'arrow'){
+          showToolTip(event)
+        }
+      })
+
+      canvas.on('mouse:out', (event) => {
+        $('#tooltip-body').html('').hide()
+      })
+
+      function showToolTip(event){
+        $('#tooltip-body').show().append(`
+          <p></p>
+          <style type="text/css">
+            .tftable {font-size:12px;color:#333333;width:100%;border-width: 1px;border-color: #729ea5;border-collapse: collapse;}
+            .tftable th {font-size:12px;background-color:#acc8cc;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;text-align:left;}
+            .tftable tr {background-color:#d4e3e5;}
+            .tftable td {font-size:12px;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;}
+            .tftable tr:hover {background-color:#ffffff;}
+          </style>
+
+          <table class="tftable" border="1">
+            <tr><th>Data</th><th>Value</th></tr>
+            <tr><td>Split</td><td>${event.target.gene.split}</td></tr>
+            <tr><td>Start in Contig</td><td>${event.target.gene.start_in_contig}</td></tr>
+            <tr><td>Length</td><td>${event.target.gene.length}</td></tr>
+            <tr><td>Gene Callers ID</td><td>${event.target.gene.gene_callers_id}</td></tr>
+            <tr><td>Gene Cluster</td><td>${idToGC[event.target.gene.gene_callers_id]}</td></tr>
+          </table>
+          <button>some action</button>
+          <button>some other action</button>
+          `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
+      }
+
+      genomes = [contig437, contig1001, contig798];
+
+      $('#gene_color_order').append($('<option>', {
+        value: 'Source',
+        text: 'Source'
+      }));
+      if(cog_annotated) {
+        $('#gene_color_order').append($('<option>', {
+          value: 'COG',
+          text: 'COG'
+        }));
+      }
+      if(kegg_annotated) {
+        $('#gene_color_order').append($('<option>', {
+          value: 'KEGG',
+          text: 'KEGG'
+        }));
+      }
+
+      draw();
+
+      // zooming and panning
+      // http://fabricjs.com/fabric-intro-part-5#pan_zoom
+      canvas.on('mouse:down', function(opt) {
+        var evt = opt.e;
+        if (evt.shiftKey === true) {
+          this.isDragging = true;
+          this.selection = false;
+          this.lastPosX = evt.clientX;
+          this.lastPosY = evt.clientY;
+        }
+      });
+      canvas.on('mouse:move', function(opt) {
+        if (this.isDragging) {
+          var e = opt.e;
+          var vpt = this.viewportTransform;
+          vpt[4] += e.clientX - this.lastPosX;
+          vpt[5] += e.clientY - this.lastPosY;
+          this.requestRenderAll();
+          this.lastPosX = e.clientX;
+          this.lastPosY = e.clientY;
+        }
+      });
+      canvas.on('mouse:up', function(opt) {
+        // on mouse up we want to recalculate new interaction
+        // for all objects, so we call setViewportTransform
+        this.setViewportTransform(this.viewportTransform);
+        this.isDragging = false;
+        this.selection = true;
+      });
+      canvas.on('mouse:wheel', function(opt) {
+        var delta = opt.e.deltaY;
+        var zoom = canvas.getZoom();
+        zoom *= 0.999 ** delta;
+        if (zoom > 20) zoom = 20;
+        if (zoom < 0.01) zoom = 0.01;
+        canvas.zoomToPoint({ x: opt.e.offsetX, y: opt.e.offsetY }, zoom);
+        opt.e.preventDefault();
+        opt.e.stopPropagation();
+      });
+
+      $('#geneClusterInput').on('keydown', function(e) {
+        if(e.keyCode == 13) { // 13 = enter key
+          alignToCluster($(this).val());
+          $(this).blur();
+        }
+      });
+      document.body.addEventListener("keydown", function(ev) {
+          if(ev.which == 83 && !$('#geneClusterInput').is(':focus')) { // S = 83
+            toggleSettingsPanel();
+          }
+      });
+      $('#gene_color_order').on('change', function() {
+          color_db = $(this).val();
+          canvas.clear();
+          draw();
+          $(this).blur();
+      });
+      $('#toggle_label_box').on('change', function() {
+        showLabels = !showLabels;
+        alignToGC = null;
+        canvas.clear();
+        draw();
+      });
+    }
+
+    function draw() {
+      for(genes of genomes) {
+        let g = genes[genes.length-1].stop_in_split;
+        if(g > genomeMax) genomeMax = g;
+      }
+
+      var i;
+      for(i = 0; i < genomes.length; i++) {
+        var genome = genomes[i];
+        var label = genome[0].split.substring(9,genome[0].split.indexOf('_', 9));
+        addGenome(label, genome, i+1);
+      }
+
+      if(showScale) {
+        for(var w = 0; w < genomeMax; w+=scale) {
+          canvas.add(new fabric.Line([0,0,0,20], {left: w+(showLabels?120:0),
+                top: (i+1)*(spacing)-24,
+                stroke: 'black',
+                strokeWidth: 1,
+                fontSize: 10,
+                fontFamily: 'sans-serif',
+                selectable: false}));
+
+          canvas.add(new fabric.Text(w/1000 + " kB", {left: w+5+(showLabels?120:0),
+                top: (i+1)*(spacing)-24,
+                stroke: 'black',
+                strokeWidth: .25,
+                fontSize: 15,
+                fontFamily: 'sans-serif',
+                selectable: false}));
+        }
+
+        canvas.add(new fabric.Line([0,0,100,0], {left: (showLabels?120:0),
+              top: (i+1)*(1.25*spacing)-4,
+              stroke: 'black',
+              strokeWidth: 2,
+              selectable: false}));
+        canvas.add(new fabric.Text("100 nts", {left: 15+(showLabels?120:0),
+              top: (i+1)*(1.25*spacing)-4,
+              stroke: 'black',
+              strokeWidth: 1,
+              fontSize: 20,
+              fontFamily: 'sans-serif',
+              selectable: false}));
+      }
+    }
+
+    function alignToCluster(gc) {
+      if(!gc || gc in mock_gene_clusters) {
+        alignToGC = gc;
+        showLabels = !gc; // only show labels if changing to default view
+        $('#toggle_label_box').attr("checked", showLabels);
+      } else {
+        console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
+      }
+      canvas.clear();
+      draw();
+    }
+
+    function addGenome(label, gene_list, y) {
+      var offsetX = 0;
+      if(alignToGC) {
+        var targetGeneID = mock_gene_clusters[alignToGC][label];
+        var targetGene = gene_list.find(gene => gene.gene_callers_id == targetGeneID);
+        var genePos = targetGene.start_in_split + (targetGene.stop_in_split - targetGene.start_in_split) / 2;
+        //var windowCenter = fabric.util.transformPoint({x:canvas.getWidth()/2,y:0}, canvas.viewportTransform)['x'];
+        var windowCenter = canvas.getWidth()/2 - canvas.viewportTransform[4]; // canvas.getWidth()/2 is clientX of center of screen
+        offsetX = windowCenter - genePos;
+        console.log('offsetX: ' + offsetX + ', genePos: ' + genePos + ', windowCenter: ' + windowCenter);
+      }
+
+      // label
+      if(showLabels) {
+        canvas.add(new fabric.Text(label, {top: spacing*y-10, selectable: false, fontSize: 15, fontFamily: 'sans-serif', fontWeight: 'bold'}));
+      }
+
+      // line
+      canvas.add(new fabric.Line([0,0,genomeMax,0], {left: offsetX+(showLabels?120:0),
+            top: spacing*y - 4,
+            stroke: 'black',
+            strokeWidth: 2,
+            selectable: false}));
+
+      // here we can either draw genes individually, or collectively as a group
+      // grouping allows you to transform them all at once, but makes selecting individual arrows difficult
+      // so for now they are drawn individually
+
+      //var geneGroup = new fabric.Group();
+      for(gene of gene_list) {
+        //addGene(gene, y);
+        //geneGroup.addWithUpdate(geneArrow(gene,y));   // IMPORTANT: only way to select is to select the group or use indices. maybe don't group them but some alternative which lets me scale them all at once?
+        var geneObj = geneArrow(gene,y);
+        if(showLabels) {
+          geneObj.left += 120;
+        }
+        if(alignToGC) {
+          geneObj.left += offsetX;
+        }
+        canvas.add(geneObj);
+      }
+      //canvas.add(geneGroup.set('scaleX',canvas.getWidth()/genomeMax/3));
+      //geneGroup.destroy();
+    }
+
+    function geneArrow(gene, y) {
+      var cag = null;
+      var color = 'gray';
+      if(gene.functions) {
+        switch(color_db) {
+          case 'COG':
+            if(gene.functions["COG14_CATEGORY"]) cag = gene.functions["COG14_CATEGORY"][0][0];
+            if(gene.functions["COG20_CATEGORY"]) cag = gene.functions["COG20_CATEGORY"][0][0];
+            color = cag in default_COG_colors ? default_COG_colors[cag] : 'gray';
+            break;
+          case 'KEGG':
+            if(gene.functions.hasOwnProperty("KEGG_Class") && gene.functions.KEGG_Class != null) {
+              cag = getCategoryForKEGGClass(gene.functions["KEGG_Class"][1]);
+            }
+            color = cag in default_KEGG_colors ? default_KEGG_colors[cag] : 'gray';
+            break;
+          default:
+            if (gene.source.startsWith('Ribosomal_RNA')) {
+              cag = 'rRNA';
+            } else if (gene.source == 'Transfer_RNAs') {
+              cag = 'tRNA';
+            } else if (gene.functions !== null) {
+              cag = 'Function';
+            }
+            color = cag in default_source_colors ? default_source_colors[cag] : 'gray';
+        }
+      }
+      /* Issue here: each genome might be differentially annotated... how to make sure all have COG annotations for example? */
+
+      var length = gene.stop_in_split-gene.start_in_split;
+      var arrow = new fabric.Path('M 0 0 L ' + length + ' 0 L ' + length + ' 10 L 0 10 M ' + length + ' 0 L ' + length + ' 20 L ' + (25+length) + ' 5 L ' + length + ' -10 z');
+      arrow.set({
+        id: 'arrow',
+        gene: gene,   // better not to store entire gene object, but a pointer/id to find it in the genomes dict?
+        selectable: false,
+        top: -11+spacing*y,
+        left: 1.5+gene.start_in_split,
+        scaleX: 0.5,
+        scaleY: 0.5,
+        fill: color,
+        zoomX: 0.2,
+        zoomY: 0.2
+      });
+      if(gene.direction == 'r') arrow.rotate(180);
+
+      return arrow;
+    }
+
+    loadAll()
 });
 
 function initData() {
@@ -29,7 +339,54 @@ function initData() {
         cache: false,
         url: '/data/get_genome_view_data',
         success: function(data) {
+            genomeData = data;
+            console.log("Saved the following data:");
             console.log(data);
         }
     });
 }
+
+function toggleSettingsPanel() {
+    $('#settings-panel').toggle();
+
+    if ($('#settings-panel').is(':visible')) {
+        $('#toggle-panel-settings').addClass('toggle-panel-settings-pos');
+        $('#toggle-panel-settings-inner').html('&#9658;');
+    } else {
+        $('#toggle-panel-settings').removeClass('toggle-panel-settings-pos');
+        $('#toggle-panel-settings-inner').html('&#9664;');
+    }
+}
+
+function getCategoryForKEGGClass(class_str) {
+  if(class_str == null) return null;
+
+  var category_name = getClassFromKEGGAnnotation(class_str);
+  return getKeyByValue(KEGG_categories, category_name);
+}
+
+function getClassFromKEGGAnnotation(class_str) {
+  return class_str.substring(17, class_str.indexOf(';', 17));
+}
+
+// https://stackoverflow.com/questions/9907419/how-to-get-a-key-in-a-javascript-object-by-its-value/36705765
+function getKeyByValue(object, value) {
+  return Object.keys(object).find(key => object[key] === value);
+}
+
+var mock_gene_clusters = {'GC_X': {'contig437': 14902,
+                                   'contig1001': 19391,
+                                   'contig798': 18019},
+                          'GC_Y': {'contig437': 14937,
+                                   'contig1001': 19393,
+                                   'contig798': 18011}
+}
+
+var idToGC = {
+  14902: 'GC_X',
+  19391: 'GC_X',
+  18019: 'GC_X',
+  14937: 'GC_Y',
+  19393: 'GC_Y',
+  18011: 'GC_Y'
+}
diff --git a/anvio/data/interactive/lib/fabric.js b/anvio/data/interactive/lib/fabric.js
new file mode 100644
index 0000000000..19af4f8d85
--- /dev/null
+++ b/anvio/data/interactive/lib/fabric.js
@@ -0,0 +1 @@
+var fabric=fabric||{version:"4.3.1"};if("undefined"!=typeof exports?exports.fabric=fabric:"function"==typeof define&&define.amd&&define([],function(){return fabric}),"undefined"!=typeof document&&"undefined"!=typeof window)document instanceof("undefined"!=typeof HTMLDocument?HTMLDocument:Document)?fabric.document=document:fabric.document=document.implementation.createHTMLDocument(""),fabric.window=window;else{var jsdom=require("jsdom"),virtualWindow=new jsdom.JSDOM(decodeURIComponent("%3C!DOCTYPE%20html%3E%3Chtml%3E%3Chead%3E%3C%2Fhead%3E%3Cbody%3E%3C%2Fbody%3E%3C%2Fhtml%3E"),{features:{FetchExternalResources:["img"]},resources:"usable"}).window;fabric.document=virtualWindow.document,fabric.jsdomImplForWrapper=require("jsdom/lib/jsdom/living/generated/utils").implForWrapper,fabric.nodeCanvas=require("jsdom/lib/jsdom/utils").Canvas,fabric.window=virtualWindow,DOMParser=fabric.window.DOMParser}function resizeCanvasIfNeeded(t){var e=t.targetCanvas,i=e.width,r=e.height,n=t.destinationWidth,s=t.destinationHeight;i===n&&r===s||(e.width=n,e.height=s)}function copyGLTo2DDrawImage(t,e){var i=t.canvas,r=e.targetCanvas,n=r.getContext("2d");n.translate(0,r.height),n.scale(1,-1);var s=i.height-r.height;n.drawImage(i,0,s,r.width,r.height,0,0,r.width,r.height)}function copyGLTo2DPutImageData(t,e){var i=e.targetCanvas.getContext("2d"),r=e.destinationWidth,n=e.destinationHeight,s=r*n*4,o=new Uint8Array(this.imageBuffer,0,s),a=new Uint8ClampedArray(this.imageBuffer,0,s);t.readPixels(0,0,r,n,t.RGBA,t.UNSIGNED_BYTE,o);var h=new ImageData(a,r,n);i.putImageData(h,0,0)}fabric.isTouchSupported="ontouchstart"in fabric.window||"ontouchstart"in fabric.document||fabric.window&&fabric.window.navigator&&0<fabric.window.navigator.maxTouchPoints,fabric.isLikelyNode="undefined"!=typeof Buffer&&"undefined"==typeof window,fabric.SHARED_ATTRIBUTES=["display","transform","fill","fill-opacity","fill-rule","opacity","stroke","stroke-dasharray","stroke-linecap","stroke-dashoffset","stroke-linejoin","stroke-miterlimit","stroke-opacity","stroke-width","id","paint-order","vector-effect","instantiated_by_use","clip-path"],fabric.DPI=96,fabric.reNum="(?:[-+]?(?:\\d+|\\d*\\.\\d+)(?:[eE][-+]?\\d+)?)",fabric.commaWsp="(?:\\s+,?\\s*|,\\s*)",fabric.rePathCommand=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:[eE][-+]?\d+)?)/gi,fabric.reNonWord=/[ \n\.,;!\?\-]/,fabric.fontPaths={},fabric.iMatrix=[1,0,0,1,0,0],fabric.svgNS="http://www.w3.org/2000/svg",fabric.perfLimitSizeTotal=2097152,fabric.maxCacheSideLimit=4096,fabric.minCacheSideLimit=256,fabric.charWidthsCache={},fabric.textureSize=2048,fabric.disableStyleCopyPaste=!1,fabric.enableGLFiltering=!0,fabric.devicePixelRatio=fabric.window.devicePixelRatio||fabric.window.webkitDevicePixelRatio||fabric.window.mozDevicePixelRatio||1,fabric.browserShadowBlurConstant=1,fabric.arcToSegmentsCache={},fabric.boundsOfCurveCache={},fabric.cachesBoundsOfCurve=!0,fabric.forceGLPutImageData=!1,fabric.initFilterBackend=function(){return fabric.enableGLFiltering&&fabric.isWebglSupported&&fabric.isWebglSupported(fabric.textureSize)?(console.log("max texture size: "+fabric.maxTextureSize),new fabric.WebglFilterBackend({tileSize:fabric.textureSize})):fabric.Canvas2dFilterBackend?new fabric.Canvas2dFilterBackend:void 0},"undefined"!=typeof document&&"undefined"!=typeof window&&(window.fabric=fabric),function(){function r(t,e){if(this.__eventListeners[t]){var i=this.__eventListeners[t];e?i[i.indexOf(e)]=!1:fabric.util.array.fill(i,!1)}}fabric.Observable={fire:function(t,e){if(!this.__eventListeners)return this;var i=this.__eventListeners[t];if(!i)return this;for(var r=0,n=i.length;r<n;r++)i[r]&&i[r].call(this,e||{});return this.__eventListeners[t]=i.filter(function(t){return!1!==t}),this},on:function(t,e){if(this.__eventListeners||(this.__eventListeners={}),1===arguments.length)for(var i in t)this.on(i,t[i]);else this.__eventListeners[t]||(this.__eventListeners[t]=[]),this.__eventListeners[t].push(e);return this},off:function(t,e){if(!this.__eventListeners)return this;if(0===arguments.length)for(t in this.__eventListeners)r.call(this,t);else if(1===arguments.length&&"object"==typeof t)for(var i in t)r.call(this,i,t[i]);else r.call(this,t,e);return this}}}(),fabric.Collection={_objects:[],add:function(){if(this._objects.push.apply(this._objects,arguments),this._onObjectAdded)for(var t=0,e=arguments.length;t<e;t++)this._onObjectAdded(arguments[t]);return this.renderOnAddRemove&&this.requestRenderAll(),this},insertAt:function(t,e,i){var r=this._objects;return i?r[e]=t:r.splice(e,0,t),this._onObjectAdded&&this._onObjectAdded(t),this.renderOnAddRemove&&this.requestRenderAll(),this},remove:function(){for(var t,e=this._objects,i=!1,r=0,n=arguments.length;r<n;r++)-1!==(t=e.indexOf(arguments[r]))&&(i=!0,e.splice(t,1),this._onObjectRemoved&&this._onObjectRemoved(arguments[r]));return this.renderOnAddRemove&&i&&this.requestRenderAll(),this},forEachObject:function(t,e){for(var i=this.getObjects(),r=0,n=i.length;r<n;r++)t.call(e,i[r],r,i);return this},getObjects:function(e){return void 0===e?this._objects.concat():this._objects.filter(function(t){return t.type===e})},item:function(t){return this._objects[t]},isEmpty:function(){return 0===this._objects.length},size:function(){return this._objects.length},contains:function(t){return-1<this._objects.indexOf(t)},complexity:function(){return this._objects.reduce(function(t,e){return t+=e.complexity?e.complexity():0},0)}},fabric.CommonMethods={_setOptions:function(t){for(var e in t)this.set(e,t[e])},_initGradient:function(t,e){!t||!t.colorStops||t instanceof fabric.Gradient||this.set(e,new fabric.Gradient(t))},_initPattern:function(t,e,i){!t||!t.source||t instanceof fabric.Pattern?i&&i():this.set(e,new fabric.Pattern(t,i))},_setObject:function(t){for(var e in t)this._set(e,t[e])},set:function(t,e){return"object"==typeof t?this._setObject(t):this._set(t,e),this},_set:function(t,e){this[t]=e},toggle:function(t){var e=this.get(t);return"boolean"==typeof e&&this.set(t,!e),this},get:function(t){return this[t]}},function(s){var d=Math.sqrt,g=Math.atan2,o=Math.pow,a=Math.PI/180,i=Math.PI/2;fabric.util={cos:function(t){if(0===t)return 1;switch(t<0&&(t=-t),t/i){case 1:case 3:return 0;case 2:return-1}return Math.cos(t)},sin:function(t){if(0===t)return 0;var e=1;switch(t<0&&(e=-1),t/i){case 1:return e;case 2:return 0;case 3:return-e}return Math.sin(t)},removeFromArray:function(t,e){var i=t.indexOf(e);return-1!==i&&t.splice(i,1),t},getRandomInt:function(t,e){return Math.floor(Math.random()*(e-t+1))+t},degreesToRadians:function(t){return t*a},radiansToDegrees:function(t){return t/a},rotatePoint:function(t,e,i){t.subtractEquals(e);var r=fabric.util.rotateVector(t,i);return new fabric.Point(r.x,r.y).addEquals(e)},rotateVector:function(t,e){var i=fabric.util.sin(e),r=fabric.util.cos(e);return{x:t.x*r-t.y*i,y:t.x*i+t.y*r}},transformPoint:function(t,e,i){return i?new fabric.Point(e[0]*t.x+e[2]*t.y,e[1]*t.x+e[3]*t.y):new fabric.Point(e[0]*t.x+e[2]*t.y+e[4],e[1]*t.x+e[3]*t.y+e[5])},makeBoundingBoxFromPoints:function(t,e){if(e)for(var i=0;i<t.length;i++)t[i]=fabric.util.transformPoint(t[i],e);var r=[t[0].x,t[1].x,t[2].x,t[3].x],n=fabric.util.array.min(r),s=fabric.util.array.max(r)-n,o=[t[0].y,t[1].y,t[2].y,t[3].y],a=fabric.util.array.min(o);return{left:n,top:a,width:s,height:fabric.util.array.max(o)-a}},invertTransform:function(t){var e=1/(t[0]*t[3]-t[1]*t[2]),i=[e*t[3],-e*t[1],-e*t[2],e*t[0]],r=fabric.util.transformPoint({x:t[4],y:t[5]},i,!0);return i[4]=-r.x,i[5]=-r.y,i},toFixed:function(t,e){return parseFloat(Number(t).toFixed(e))},parseUnit:function(t,e){var i=/\D{0,2}$/.exec(t),r=parseFloat(t);switch(e||(e=fabric.Text.DEFAULT_SVG_FONT_SIZE),i[0]){case"mm":return r*fabric.DPI/25.4;case"cm":return r*fabric.DPI/2.54;case"in":return r*fabric.DPI;case"pt":return r*fabric.DPI/72;case"pc":return r*fabric.DPI/72*12;case"em":return r*e;default:return r}},falseFunction:function(){return!1},getKlass:function(t,e){return t=fabric.util.string.camelize(t.charAt(0).toUpperCase()+t.slice(1)),fabric.util.resolveNamespace(e)[t]},getSvgAttributes:function(t){var e=["instantiated_by_use","style","id","class"];switch(t){case"linearGradient":e=e.concat(["x1","y1","x2","y2","gradientUnits","gradientTransform"]);break;case"radialGradient":e=e.concat(["gradientUnits","gradientTransform","cx","cy","r","fx","fy","fr"]);break;case"stop":e=e.concat(["offset","stop-color","stop-opacity"])}return e},resolveNamespace:function(t){if(!t)return fabric;var e,i=t.split("."),r=i.length,n=s||fabric.window;for(e=0;e<r;++e)n=n[i[e]];return n},loadImage:function(t,e,i,r){if(t){var n=fabric.util.createImage(),s=function(){e&&e.call(i,n,!1),n=n.onload=n.onerror=null};n.onload=s,n.onerror=function(){fabric.log("Error loading "+n.src),e&&e.call(i,null,!0),n=n.onload=n.onerror=null},0!==t.indexOf("data")&&null!=r&&(n.crossOrigin=r),"data:image/svg"===t.substring(0,14)&&(n.onload=null,fabric.util.loadImageInDom(n,s)),n.src=t}else e&&e.call(i,t)},loadImageInDom:function(t,e){var i=fabric.document.createElement("div");i.style.width=i.style.height="1px",i.style.left=i.style.top="-100%",i.style.position="absolute",i.appendChild(t),fabric.document.querySelector("body").appendChild(i),t.onload=function(){e(),i.parentNode.removeChild(i),i=null}},enlivenObjects:function(t,e,n,s){var o=[],i=0,r=(t=t||[]).length;function a(){++i===r&&e&&e(o.filter(function(t){return t}))}r?t.forEach(function(i,r){i&&i.type?fabric.util.getKlass(i.type,n).fromObject(i,function(t,e){e||(o[r]=t),s&&s(i,t,e),a()}):a()}):e&&e(o)},enlivenPatterns:function(t,e){function i(){++n===s&&e&&e(r)}var r=[],n=0,s=(t=t||[]).length;s?t.forEach(function(t,e){t&&t.source?new fabric.Pattern(t,function(t){r[e]=t,i()}):(r[e]=t,i())}):e&&e(r)},groupSVGElements:function(t,e,i){var r;return t&&1===t.length?t[0]:(e&&(e.width&&e.height?e.centerPoint={x:e.width/2,y:e.height/2}:(delete e.width,delete e.height)),r=new fabric.Group(t,e),void 0!==i&&(r.sourcePath=i),r)},populateWithProperties:function(t,e,i){if(i&&"[object Array]"===Object.prototype.toString.call(i))for(var r=0,n=i.length;r<n;r++)i[r]in t&&(e[i[r]]=t[i[r]])},drawDashedLine:function(t,e,i,r,n,s){var o=r-e,a=n-i,h=d(o*o+a*a),c=g(a,o),l=s.length,u=0,f=!0;for(t.save(),t.translate(e,i),t.moveTo(0,0),t.rotate(c),e=0;e<h;)h<(e+=s[u++%l])&&(e=h),t[f?"lineTo":"moveTo"](e,0),f=!f;t.restore()},createCanvasElement:function(){return fabric.document.createElement("canvas")},copyCanvasElement:function(t){var e=fabric.util.createCanvasElement();return e.width=t.width,e.height=t.height,e.getContext("2d").drawImage(t,0,0),e},toDataURL:function(t,e,i){return t.toDataURL("image/"+e,i)},createImage:function(){return fabric.document.createElement("img")},multiplyTransformMatrices:function(t,e,i){return[t[0]*e[0]+t[2]*e[1],t[1]*e[0]+t[3]*e[1],t[0]*e[2]+t[2]*e[3],t[1]*e[2]+t[3]*e[3],i?0:t[0]*e[4]+t[2]*e[5]+t[4],i?0:t[1]*e[4]+t[3]*e[5]+t[5]]},qrDecompose:function(t){var e=g(t[1],t[0]),i=o(t[0],2)+o(t[1],2),r=d(i),n=(t[0]*t[3]-t[2]*t[1])/r,s=g(t[0]*t[2]+t[1]*t[3],i);return{angle:e/a,scaleX:r,scaleY:n,skewX:s/a,skewY:0,translateX:t[4],translateY:t[5]}},calcRotateMatrix:function(t){if(!t.angle)return fabric.iMatrix.concat();var e=fabric.util.degreesToRadians(t.angle),i=fabric.util.cos(e),r=fabric.util.sin(e);return[i,r,-r,i,0,0]},calcDimensionsMatrix:function(t){var e=void 0===t.scaleX?1:t.scaleX,i=void 0===t.scaleY?1:t.scaleY,r=[t.flipX?-e:e,0,0,t.flipY?-i:i,0,0],n=fabric.util.multiplyTransformMatrices,s=fabric.util.degreesToRadians;return t.skewX&&(r=n(r,[1,0,Math.tan(s(t.skewX)),1],!0)),t.skewY&&(r=n(r,[1,Math.tan(s(t.skewY)),0,1],!0)),r},composeMatrix:function(t){var e=[1,0,0,1,t.translateX||0,t.translateY||0],i=fabric.util.multiplyTransformMatrices;return t.angle&&(e=i(e,fabric.util.calcRotateMatrix(t))),(1!==t.scaleX||1!==t.scaleY||t.skewX||t.skewY||t.flipX||t.flipY)&&(e=i(e,fabric.util.calcDimensionsMatrix(t))),e},resetObjectTransform:function(t){t.scaleX=1,t.scaleY=1,t.skewX=0,t.skewY=0,t.flipX=!1,t.flipY=!1,t.rotate(0)},saveObjectTransform:function(t){return{scaleX:t.scaleX,scaleY:t.scaleY,skewX:t.skewX,skewY:t.skewY,angle:t.angle,left:t.left,flipX:t.flipX,flipY:t.flipY,top:t.top}},isTransparent:function(t,e,i,r){0<r&&(r<e?e-=r:e=0,r<i?i-=r:i=0);var n,s=!0,o=t.getImageData(e,i,2*r||1,2*r||1),a=o.data.length;for(n=3;n<a&&!1!==(s=o.data[n]<=0);n+=4);return o=null,s},parsePreserveAspectRatioAttribute:function(t){var e,i="meet",r=t.split(" ");return r&&r.length&&("meet"!==(i=r.pop())&&"slice"!==i?(e=i,i="meet"):r.length&&(e=r.pop())),{meetOrSlice:i,alignX:"none"!==e?e.slice(1,4):"none",alignY:"none"!==e?e.slice(5,8):"none"}},clearFabricFontCache:function(t){(t=(t||"").toLowerCase())?fabric.charWidthsCache[t]&&delete fabric.charWidthsCache[t]:fabric.charWidthsCache={}},limitDimsByArea:function(t,e){var i=Math.sqrt(e*t),r=Math.floor(e/i);return{x:Math.floor(i),y:r}},capValue:function(t,e,i){return Math.max(t,Math.min(e,i))},findScaleToFit:function(t,e){return Math.min(e.width/t.width,e.height/t.height)},findScaleToCover:function(t,e){return Math.max(e.width/t.width,e.height/t.height)},matrixToSVG:function(t){return"matrix("+t.map(function(t){return fabric.util.toFixed(t,fabric.Object.NUM_FRACTION_DIGITS)}).join(" ")+")"},sizeAfterTransform:function(t,e,i){var r=t/2,n=e/2,s=[{x:-r,y:-n},{x:r,y:-n},{x:-r,y:n},{x:r,y:n}],o=fabric.util.calcDimensionsMatrix(i),a=fabric.util.makeBoundingBoxFromPoints(s,o);return{x:a.width,y:a.height}}}}("undefined"!=typeof exports?exports:this),function(){var E=Array.prototype.join,T={m:2,l:2,h:1,v:1,c:6,s:4,q:4,t:2,a:7},w={m:"l",M:"L"};function v(t,e,i,r,n,s,o){var a=Math.PI,h=o*a/180,c=fabric.util.sin(h),l=fabric.util.cos(h),u=0,f=0,d=-l*t*.5-c*e*.5,g=-l*e*.5+c*t*.5,p=(i=Math.abs(i))*i,v=(r=Math.abs(r))*r,m=g*g,b=d*d,y=p*v-p*m-v*b,_=0;if(y<0){var x=Math.sqrt(1-y/(p*v));i*=x,r*=x}else _=(n===s?-1:1)*Math.sqrt(y/(p*m+v*b));var C=_*i*g/r,S=-_*r*d/i,T=l*C-c*S+.5*t,w=c*C+l*S+.5*e,O=$(1,0,(d-C)/i,(g-S)/r),k=$((d-C)/i,(g-S)/r,(-d-C)/i,(-g-S)/r);0===s&&0<k?k-=2*a:1===s&&k<0&&(k+=2*a);for(var P,D,E,A,j,M,F,I,L,R,B,X,Y,W,z,H,G,U=Math.ceil(Math.abs(k/a*2)),N=[],V=k/U,q=8/3*Math.sin(V/4)*Math.sin(V/4)/Math.sin(V/2),K=O+V,J=0;J<U;J++)N[J]=(P=O,D=K,E=l,A=c,j=i,M=r,F=T,I=w,L=q,R=u,B=f,void 0,X=fabric.util.cos(P),Y=fabric.util.sin(P),W=fabric.util.cos(D),z=fabric.util.sin(D),["C",R+L*(-E*j*Y-A*M*X),B+L*(-A*j*Y+E*M*X),(H=E*j*W-A*M*z+F)+L*(E*j*z+A*M*W),(G=A*j*W+E*M*z+I)+L*(A*j*z-E*M*W),H,G]),u=N[J][5],f=N[J][6],O=K,K+=V;return N}function $(t,e,i,r){var n=Math.atan2(e,t),s=Math.atan2(r,i);return n<=s?s-n:2*Math.PI-(n-s)}function m(t,e,i,r,n,s,o,a){var h;if(fabric.cachesBoundsOfCurve&&(h=E.call(arguments),fabric.boundsOfCurveCache[h]))return fabric.boundsOfCurveCache[h];var c,l,u,f,d,g,p,v,m=Math.sqrt,b=Math.min,y=Math.max,_=Math.abs,x=[],C=[[],[]];l=6*t-12*i+6*n,c=-3*t+9*i-9*n+3*o,u=3*i-3*t;for(var S=0;S<2;++S)if(0<S&&(l=6*e-12*r+6*s,c=-3*e+9*r-9*s+3*a,u=3*r-3*e),_(c)<1e-12){if(_(l)<1e-12)continue;0<(f=-u/l)&&f<1&&x.push(f)}else(p=l*l-4*u*c)<0||(0<(d=(-l+(v=m(p)))/(2*c))&&d<1&&x.push(d),0<(g=(-l-v)/(2*c))&&g<1&&x.push(g));for(var T,w,O,k=x.length,P=k;k--;)T=(O=1-(f=x[k]))*O*O*t+3*O*O*f*i+3*O*f*f*n+f*f*f*o,C[0][k]=T,w=O*O*O*e+3*O*O*f*r+3*O*f*f*s+f*f*f*a,C[1][k]=w;C[0][P]=t,C[1][P]=e,C[0][P+1]=o,C[1][P+1]=a;var D=[{x:b.apply(null,C[0]),y:b.apply(null,C[1])},{x:y.apply(null,C[0]),y:y.apply(null,C[1])}];return fabric.cachesBoundsOfCurve&&(fabric.boundsOfCurveCache[h]=D),D}function d(t,e,i){for(var r=i[1],n=i[2],s=i[3],o=i[4],a=i[5],h=v(i[6]-t,i[7]-e,r,n,o,a,s),c=0,l=h.length;c<l;c++)h[c][1]+=t,h[c][2]+=e,h[c][3]+=t,h[c][4]+=e,h[c][5]+=t,h[c][6]+=e;return h}function g(t,e,i,r){return Math.sqrt((i-t)*(i-t)+(r-e)*(r-e))}function p(c,l,u,f,d,g,p,v){return function(t){var e,i,r,n,s=(n=t)*n*n,o=3*(r=t)*r*(1-r),a=3*(i=t)*(1-i)*(1-i),h=(1-(e=t))*(1-e)*(1-e);return{x:p*s+d*o+u*a+c*h,y:v*s+g*o+f*a+l*h}}}function b(n,s,o,a,h,c,l,u){return function(t){var e=1-t,i=3*e*e*(o-n)+6*e*t*(h-o)+3*t*t*(l-h),r=3*e*e*(a-s)+6*e*t*(c-a)+3*t*t*(u-c);return Math.atan2(r,i)}}function y(a,h,c,l,u,f){return function(t){var e,i,r,n=(r=t)*r,s=2*(i=t)*(1-i),o=(1-(e=t))*(1-e);return{x:u*n+c*s+a*o,y:f*n+l*s+h*o}}}function _(n,s,o,a,h,c){return function(t){var e=1-t,i=2*e*(o-n)+2*t*(h-o),r=2*e*(a-s)+2*t*(c-a);return Math.atan2(r,i)}}function x(t,e,i){var r,n,s={x:e,y:i},o=0;for(n=.01;n<=1;n+=.01)r=t(n),o+=g(s.x,s.y,r.x,r.y),s=r;return o}function c(t,e){for(var i,r,n,s=0,o=0,a=t.iterator,h={x:t.x,y:t.y},c=.01,l=t.angleFinder;o<e&&s<=1&&1e-4<c;)i=a(s),n=s,e<(r=g(h.x,h.y,i.x,i.y))+o?s-=c/=2:(h=i,s+=c,o+=r);return i.angle=l(n),i}function l(t){for(var e,i,r,n,s=0,o=t.length,a=0,h=0,c=0,l=0,u=[],f=0;f<o;f++){switch(r={x:a,y:h,command:(e=t[f])[0]},e[0]){case"M":r.length=0,c=a=e[1],l=h=e[2];break;case"L":r.length=g(a,h,e[1],e[2]),a=e[1],h=e[2];break;case"C":i=p(a,h,e[1],e[2],e[3],e[4],e[5],e[6]),n=b(a,h,e[1],e[2],e[3],e[4],e[5],e[6]),r.iterator=i,r.angleFinder=n,r.length=x(i,a,h),a=e[5],h=e[6];break;case"Q":i=y(a,h,e[1],e[2],e[3],e[4]),n=_(a,h,e[1],e[2],e[3],e[4]),r.iterator=i,r.angleFinder=n,r.length=x(i,a,h),a=e[3],h=e[4];break;case"Z":case"z":r.destX=c,r.destY=l,r.length=g(a,h,c,l),a=c,h=l}s+=r.length,u.push(r)}return u.push({length:s,x:a,y:h}),u}fabric.util.parsePath=function(t){var e,i,r,n,s,o=[],a=[],h=fabric.rePathCommand,c="[-+]?(?:\\d*\\.\\d+|\\d+\\.?)(?:[eE][-+]?\\d+)?\\s*",l="("+c+")"+fabric.commaWsp,u="([01])"+fabric.commaWsp+"?",f=new RegExp(l+"?"+l+"?"+l+u+u+l+"?("+c+")","g");if(!t||!t.match)return o;for(var d,g=0,p=(s=t.match(/[mzlhvcsqta][^mzlhvcsqta]*/gi)).length;g<p;g++){n=(e=s[g]).slice(1).trim(),a.length=0;var v=e.charAt(0);if(d=[v],"a"===v.toLowerCase())for(var m;m=f.exec(n);)for(var b=1;b<m.length;b++)a.push(m[b]);else for(;r=h.exec(n);)a.push(r[0]);b=0;for(var y=a.length;b<y;b++)i=parseFloat(a[b]),isNaN(i)||d.push(i);var _=T[v.toLowerCase()],x=w[v]||v;if(d.length-1>_)for(var C=1,S=d.length;C<S;C+=_)o.push([v].concat(d.slice(C,C+_))),v=x;else o.push(d)}return o},fabric.util.makePathSimpler=function(t){var e,i,r,n,s,o,a=0,h=0,c=t.length,l=0,u=0,f=[];for(i=0;i<c;++i){switch(r=!1,(e=t[i].slice(0))[0]){case"l":e[0]="L",e[1]+=a,e[2]+=h;case"L":a=e[1],h=e[2];break;case"h":e[1]+=a;case"H":e[0]="L",e[2]=h,a=e[1];break;case"v":e[1]+=h;case"V":e[0]="L",h=e[1],e[1]=a,e[2]=h;break;case"m":e[0]="M",e[1]+=a,e[2]+=h;case"M":a=e[1],h=e[2],l=e[1],u=e[2];break;case"c":e[0]="C",e[1]+=a,e[2]+=h,e[3]+=a,e[4]+=h,e[5]+=a,e[6]+=h;case"C":s=e[3],o=e[4],a=e[5],h=e[6];break;case"s":e[0]="S",e[1]+=a,e[2]+=h,e[3]+=a,e[4]+=h;case"S":"C"===n?(s=2*a-s,o=2*h-o):(s=a,o=h),a=e[3],h=e[4],e[0]="C",e[5]=e[3],e[6]=e[4],e[3]=e[1],e[4]=e[2],e[1]=s,e[2]=o,s=e[3],o=e[4];break;case"q":e[0]="Q",e[1]+=a,e[2]+=h,e[3]+=a,e[4]+=h;case"Q":s=e[1],o=e[2],a=e[3],h=e[4];break;case"t":e[0]="T",e[1]+=a,e[2]+=h;case"T":"Q"===n?(s=2*a-s,o=2*h-o):(s=a,o=h),e[0]="Q",a=e[1],h=e[2],e[1]=s,e[2]=o,e[3]=a,e[4]=h;break;case"a":e[0]="A",e[6]+=a,e[7]+=h;case"A":r=!0,f=f.concat(d(a,h,e)),a=e[6],h=e[7];break;case"z":case"Z":a=l,h=u}r||f.push(e),n=e[0]}return f},fabric.util.getPathSegmentsInfo=l,fabric.util.fromArcToBeziers=d,fabric.util.fromArcToBeizers=d,fabric.util.getBoundsOfCurve=m,fabric.util.getPointOnPath=function(t,e,i){i||(i=l(t));for(var r=0;0<e-i[r].length&&r<i.length-2;)e-=i[r].length,r++;var n,s=i[r],o=e/s.length,a=s.command,h=t[r];switch(a){case"M":return{x:s.x,y:s.y,angle:0};case"Z":case"z":return(n=new fabric.Point(s.x,s.y).lerp(new fabric.Point(s.destX,s.destY),o)).angle=Math.atan2(s.destY-s.y,s.destX-s.x),n;case"L":return(n=new fabric.Point(s.x,s.y).lerp(new fabric.Point(h[1],h[2]),o)).angle=Math.atan2(h[2]-s.y,h[1]-s.x),n;case"C":case"Q":return c(s,e)}},fabric.util.getBoundsOfArc=function(t,e,i,r,n,s,o,a,h){for(var c,l=0,u=0,f=[],d=v(a-t,h-e,i,r,s,o,n),g=0,p=d.length;g<p;g++)c=m(l,u,d[g][1],d[g][2],d[g][3],d[g][4],d[g][5],d[g][6]),f.push({x:c[0].x+t,y:c[0].y+e}),f.push({x:c[1].x+t,y:c[1].y+e}),l=d[g][5],u=d[g][6];return f},fabric.util.drawArc=function(e,t,i,r){d(t,i,r=r.slice(0).unshift("X")).forEach(function(t){e.bezierCurveTo.apply(e,t.slice(1))})}}(),function(){var o=Array.prototype.slice;function i(t,e,i){if(t&&0!==t.length){var r=t.length-1,n=e?t[r][e]:t[r];if(e)for(;r--;)i(t[r][e],n)&&(n=t[r][e]);else for(;r--;)i(t[r],n)&&(n=t[r]);return n}}fabric.util.array={fill:function(t,e){for(var i=t.length;i--;)t[i]=e;return t},invoke:function(t,e){for(var i=o.call(arguments,2),r=[],n=0,s=t.length;n<s;n++)r[n]=i.length?t[n][e].apply(t[n],i):t[n][e].call(t[n]);return r},min:function(t,e){return i(t,e,function(t,e){return t<e})},max:function(t,e){return i(t,e,function(t,e){return e<=t})}}}(),function(){function o(t,e,i){if(i)if(!fabric.isLikelyNode&&e instanceof Element)t=e;else if(e instanceof Array){t=[];for(var r=0,n=e.length;r<n;r++)t[r]=o({},e[r],i)}else if(e&&"object"==typeof e)for(var s in e)"canvas"===s||"group"===s?t[s]=null:e.hasOwnProperty(s)&&(t[s]=o({},e[s],i));else t=e;else for(var s in e)t[s]=e[s];return t}fabric.util.object={extend:o,clone:function(t,e){return o({},t,e)}},fabric.util.object.extend(fabric.util,fabric.Observable)}(),function(){function n(t,e){var i=t.charCodeAt(e);if(isNaN(i))return"";if(i<55296||57343<i)return t.charAt(e);if(55296<=i&&i<=56319){if(t.length<=e+1)throw"High surrogate without following low surrogate";var r=t.charCodeAt(e+1);if(r<56320||57343<r)throw"High surrogate without following low surrogate";return t.charAt(e)+t.charAt(e+1)}if(0===e)throw"Low surrogate without preceding high surrogate";var n=t.charCodeAt(e-1);if(n<55296||56319<n)throw"Low surrogate without preceding high surrogate";return!1}fabric.util.string={camelize:function(t){return t.replace(/-+(.)?/g,function(t,e){return e?e.toUpperCase():""})},capitalize:function(t,e){return t.charAt(0).toUpperCase()+(e?t.slice(1):t.slice(1).toLowerCase())},escapeXml:function(t){return t.replace(/&/g,"&amp;").replace(/"/g,"&quot;").replace(/'/g,"&apos;").replace(/</g,"&lt;").replace(/>/g,"&gt;")},graphemeSplit:function(t){var e,i=0,r=[];for(i=0;i<t.length;i++)!1!==(e=n(t,i))&&r.push(e);return r}}}(),function(){var s=Array.prototype.slice,o=function(){},i=function(){for(var t in{toString:1})if("toString"===t)return!1;return!0}(),a=function(t,r,n){for(var e in r)e in t.prototype&&"function"==typeof t.prototype[e]&&-1<(r[e]+"").indexOf("callSuper")?t.prototype[e]=function(i){return function(){var t=this.constructor.superclass;this.constructor.superclass=n;var e=r[i].apply(this,arguments);if(this.constructor.superclass=t,"initialize"!==i)return e}}(e):t.prototype[e]=r[e],i&&(r.toString!==Object.prototype.toString&&(t.prototype.toString=r.toString),r.valueOf!==Object.prototype.valueOf&&(t.prototype.valueOf=r.valueOf))};function h(){}function c(t){for(var e=null,i=this;i.constructor.superclass;){var r=i.constructor.superclass.prototype[t];if(i[t]!==r){e=r;break}i=i.constructor.superclass.prototype}return e?1<arguments.length?e.apply(this,s.call(arguments,1)):e.call(this):console.log("tried to callSuper "+t+", method not found in prototype chain",this)}fabric.util.createClass=function(){var t=null,e=s.call(arguments,0);function i(){this.initialize.apply(this,arguments)}"function"==typeof e[0]&&(t=e.shift()),i.superclass=t,i.subclasses=[],t&&(h.prototype=t.prototype,i.prototype=new h,t.subclasses.push(i));for(var r=0,n=e.length;r<n;r++)a(i,e[r],t);return i.prototype.initialize||(i.prototype.initialize=o),(i.prototype.constructor=i).prototype.callSuper=c,i}}(),function(){var n=!!fabric.document.createElement("div").attachEvent,e=["touchstart","touchmove","touchend"];fabric.util.addListener=function(t,e,i,r){t&&t.addEventListener(e,i,!n&&r)},fabric.util.removeListener=function(t,e,i,r){t&&t.removeEventListener(e,i,!n&&r)},fabric.util.getPointer=function(t){var e,i,r=t.target,n=fabric.util.getScrollLeftTop(r),s=(i=(e=t).changedTouches)&&i[0]?i[0]:e;return{x:s.clientX+n.left,y:s.clientY+n.top}},fabric.util.isTouchEvent=function(t){return-1<e.indexOf(t.type)||"touch"===t.pointerType}}(),function(){var t=fabric.document.createElement("div"),e="string"==typeof t.style.opacity,i="string"==typeof t.style.filter,r=/alpha\s*\(\s*opacity\s*=\s*([^\)]+)\)/,n=function(t){return t};e?n=function(t,e){return t.style.opacity=e,t}:i&&(n=function(t,e){var i=t.style;return t.currentStyle&&!t.currentStyle.hasLayout&&(i.zoom=1),r.test(i.filter)?(e=.9999<=e?"":"alpha(opacity="+100*e+")",i.filter=i.filter.replace(r,e)):i.filter+=" alpha(opacity="+100*e+")",t}),fabric.util.setStyle=function(t,e){var i=t.style;if(!i)return t;if("string"==typeof e)return t.style.cssText+=";"+e,-1<e.indexOf("opacity")?n(t,e.match(/opacity:\s*(\d?\.?\d*)/)[1]):t;for(var r in e)"opacity"===r?n(t,e[r]):i["float"===r||"cssFloat"===r?void 0===i.styleFloat?"cssFloat":"styleFloat":r]=e[r];return t}}(),function(){var e=Array.prototype.slice;var t,h,i,r,n=function(t){return e.call(t,0)};try{t=n(fabric.document.childNodes)instanceof Array}catch(t){}function s(t,e){var i=fabric.document.createElement(t);for(var r in e)"class"===r?i.className=e[r]:"for"===r?i.htmlFor=e[r]:i.setAttribute(r,e[r]);return i}function c(t){for(var e=0,i=0,r=fabric.document.documentElement,n=fabric.document.body||{scrollLeft:0,scrollTop:0};t&&(t.parentNode||t.host)&&((t=t.parentNode||t.host)===fabric.document?(e=n.scrollLeft||r.scrollLeft||0,i=n.scrollTop||r.scrollTop||0):(e+=t.scrollLeft||0,i+=t.scrollTop||0),1!==t.nodeType||"fixed"!==t.style.position););return{left:e,top:i}}t||(n=function(t){for(var e=new Array(t.length),i=t.length;i--;)e[i]=t[i];return e}),h=fabric.document.defaultView&&fabric.document.defaultView.getComputedStyle?function(t,e){var i=fabric.document.defaultView.getComputedStyle(t,null);return i?i[e]:void 0}:function(t,e){var i=t.style[e];return!i&&t.currentStyle&&(i=t.currentStyle[e]),i},i=fabric.document.documentElement.style,r="userSelect"in i?"userSelect":"MozUserSelect"in i?"MozUserSelect":"WebkitUserSelect"in i?"WebkitUserSelect":"KhtmlUserSelect"in i?"KhtmlUserSelect":"",fabric.util.makeElementUnselectable=function(t){return void 0!==t.onselectstart&&(t.onselectstart=fabric.util.falseFunction),r?t.style[r]="none":"string"==typeof t.unselectable&&(t.unselectable="on"),t},fabric.util.makeElementSelectable=function(t){return void 0!==t.onselectstart&&(t.onselectstart=null),r?t.style[r]="":"string"==typeof t.unselectable&&(t.unselectable=""),t},fabric.util.setImageSmoothing=function(t,e){t.imageSmoothingEnabled=t.imageSmoothingEnabled||t.webkitImageSmoothingEnabled||t.mozImageSmoothingEnabled||t.msImageSmoothingEnabled||t.oImageSmoothingEnabled,t.imageSmoothingEnabled=e},fabric.util.getById=function(t){return"string"==typeof t?fabric.document.getElementById(t):t},fabric.util.toArray=n,fabric.util.addClass=function(t,e){t&&-1===(" "+t.className+" ").indexOf(" "+e+" ")&&(t.className+=(t.className?" ":"")+e)},fabric.util.makeElement=s,fabric.util.wrapElement=function(t,e,i){return"string"==typeof e&&(e=s(e,i)),t.parentNode&&t.parentNode.replaceChild(e,t),e.appendChild(t),e},fabric.util.getScrollLeftTop=c,fabric.util.getElementOffset=function(t){var e,i,r=t&&t.ownerDocument,n={left:0,top:0},s={left:0,top:0},o={borderLeftWidth:"left",borderTopWidth:"top",paddingLeft:"left",paddingTop:"top"};if(!r)return s;for(var a in o)s[o[a]]+=parseInt(h(t,a),10)||0;return e=r.documentElement,void 0!==t.getBoundingClientRect&&(n=t.getBoundingClientRect()),i=c(t),{left:n.left+i.left-(e.clientLeft||0)+s.left,top:n.top+i.top-(e.clientTop||0)+s.top}},fabric.util.getNodeCanvas=function(t){var e=fabric.jsdomImplForWrapper(t);return e._canvas||e._image},fabric.util.cleanUpJsdomNode=function(t){if(fabric.isLikelyNode){var e=fabric.jsdomImplForWrapper(t);e&&(e._image=null,e._canvas=null,e._currentSrc=null,e._attributes=null,e._classList=null)}}}(),function(){function h(){}fabric.util.request=function(t,e){e||(e={});var i,r,n=e.method?e.method.toUpperCase():"GET",s=e.onComplete||function(){},o=new fabric.window.XMLHttpRequest,a=e.body||e.parameters;return o.onreadystatechange=function(){4===o.readyState&&(s(o),o.onreadystatechange=h)},"GET"===n&&(a=null,"string"==typeof e.parameters&&(i=t,r=e.parameters,t=i+(/\?/.test(i)?"&":"?")+r)),o.open(n,t,!0),"POST"!==n&&"PUT"!==n||o.setRequestHeader("Content-Type","application/x-www-form-urlencoded"),o.send(a),o}}(),fabric.log=console.log,fabric.warn=console.warn,function(){function i(){return!1}function r(t,e,i,r){return-i*Math.cos(t/r*(Math.PI/2))+i+e}var t=fabric.window.requestAnimationFrame||fabric.window.webkitRequestAnimationFrame||fabric.window.mozRequestAnimationFrame||fabric.window.oRequestAnimationFrame||fabric.window.msRequestAnimationFrame||function(t){return fabric.window.setTimeout(t,1e3/60)},e=fabric.window.cancelAnimationFrame||fabric.window.clearTimeout;function m(){return t.apply(fabric.window,arguments)}fabric.util.animate=function(e){m(function(t){e||(e={});var o,a=t||+new Date,h=e.duration||500,c=a+h,l=e.onChange||i,u=e.abort||i,f=e.onComplete||i,d=e.easing||r,g="startValue"in e?e.startValue:0,p="endValue"in e?e.endValue:100,v=e.byValue||p-g;e.onStart&&e.onStart(),function t(e){o=e||+new Date;var i=c<o?h:o-a,r=i/h,n=d(i,g,v,h),s=Math.abs((n-g)/v);if(!u())return c<o?(l(p,1,1),void f(p,1,1)):(l(n,s,r),void m(t));f(p,1,1)}(a)})},fabric.util.requestAnimFrame=m,fabric.util.cancelAnimFrame=function(){return e.apply(fabric.window,arguments)}}(),function(){function h(t,e,i){var r="rgba("+parseInt(t[0]+i*(e[0]-t[0]),10)+","+parseInt(t[1]+i*(e[1]-t[1]),10)+","+parseInt(t[2]+i*(e[2]-t[2]),10);return r+=","+(t&&e?parseFloat(t[3]+i*(e[3]-t[3])):1),r+=")"}fabric.util.animateColor=function(t,e,i,n){var r=new fabric.Color(t).getSource(),s=new fabric.Color(e).getSource(),o=n.onComplete,a=n.onChange;n=n||{},fabric.util.animate(fabric.util.object.extend(n,{duration:i||500,startValue:r,endValue:s,byValue:s,easing:function(t,e,i,r){return h(e,i,n.colorEasing?n.colorEasing(t,r):1-Math.cos(t/r*(Math.PI/2)))},onComplete:function(t,e,i){if(o)return o(h(s,s,0),e,i)},onChange:function(t,e,i){if(a){if(Array.isArray(t))return a(h(t,t,0),e,i);a(t,e,i)}}}))}}(),function(){function o(t,e,i,r){return t<Math.abs(e)?(t=e,r=i/4):r=0===e&&0===t?i/(2*Math.PI)*Math.asin(1):i/(2*Math.PI)*Math.asin(e/t),{a:t,c:e,p:i,s:r}}function a(t,e,i){return t.a*Math.pow(2,10*(e-=1))*Math.sin((e*i-t.s)*(2*Math.PI)/t.p)}function n(t,e,i,r){return i-s(r-t,0,i,r)+e}function s(t,e,i,r){return(t/=r)<1/2.75?i*(7.5625*t*t)+e:t<2/2.75?i*(7.5625*(t-=1.5/2.75)*t+.75)+e:t<2.5/2.75?i*(7.5625*(t-=2.25/2.75)*t+.9375)+e:i*(7.5625*(t-=2.625/2.75)*t+.984375)+e}fabric.util.ease={easeInQuad:function(t,e,i,r){return i*(t/=r)*t+e},easeOutQuad:function(t,e,i,r){return-i*(t/=r)*(t-2)+e},easeInOutQuad:function(t,e,i,r){return(t/=r/2)<1?i/2*t*t+e:-i/2*(--t*(t-2)-1)+e},easeInCubic:function(t,e,i,r){return i*(t/=r)*t*t+e},easeOutCubic:function(t,e,i,r){return i*((t=t/r-1)*t*t+1)+e},easeInOutCubic:function(t,e,i,r){return(t/=r/2)<1?i/2*t*t*t+e:i/2*((t-=2)*t*t+2)+e},easeInQuart:function(t,e,i,r){return i*(t/=r)*t*t*t+e},easeOutQuart:function(t,e,i,r){return-i*((t=t/r-1)*t*t*t-1)+e},easeInOutQuart:function(t,e,i,r){return(t/=r/2)<1?i/2*t*t*t*t+e:-i/2*((t-=2)*t*t*t-2)+e},easeInQuint:function(t,e,i,r){return i*(t/=r)*t*t*t*t+e},easeOutQuint:function(t,e,i,r){return i*((t=t/r-1)*t*t*t*t+1)+e},easeInOutQuint:function(t,e,i,r){return(t/=r/2)<1?i/2*t*t*t*t*t+e:i/2*((t-=2)*t*t*t*t+2)+e},easeInSine:function(t,e,i,r){return-i*Math.cos(t/r*(Math.PI/2))+i+e},easeOutSine:function(t,e,i,r){return i*Math.sin(t/r*(Math.PI/2))+e},easeInOutSine:function(t,e,i,r){return-i/2*(Math.cos(Math.PI*t/r)-1)+e},easeInExpo:function(t,e,i,r){return 0===t?e:i*Math.pow(2,10*(t/r-1))+e},easeOutExpo:function(t,e,i,r){return t===r?e+i:i*(1-Math.pow(2,-10*t/r))+e},easeInOutExpo:function(t,e,i,r){return 0===t?e:t===r?e+i:(t/=r/2)<1?i/2*Math.pow(2,10*(t-1))+e:i/2*(2-Math.pow(2,-10*--t))+e},easeInCirc:function(t,e,i,r){return-i*(Math.sqrt(1-(t/=r)*t)-1)+e},easeOutCirc:function(t,e,i,r){return i*Math.sqrt(1-(t=t/r-1)*t)+e},easeInOutCirc:function(t,e,i,r){return(t/=r/2)<1?-i/2*(Math.sqrt(1-t*t)-1)+e:i/2*(Math.sqrt(1-(t-=2)*t)+1)+e},easeInElastic:function(t,e,i,r){var n=0;return 0===t?e:1==(t/=r)?e+i:(n||(n=.3*r),-a(o(i,i,n,1.70158),t,r)+e)},easeOutElastic:function(t,e,i,r){var n=0;if(0===t)return e;if(1==(t/=r))return e+i;n||(n=.3*r);var s=o(i,i,n,1.70158);return s.a*Math.pow(2,-10*t)*Math.sin((t*r-s.s)*(2*Math.PI)/s.p)+s.c+e},easeInOutElastic:function(t,e,i,r){var n=0;if(0===t)return e;if(2==(t/=r/2))return e+i;n||(n=r*(.3*1.5));var s=o(i,i,n,1.70158);return t<1?-.5*a(s,t,r)+e:s.a*Math.pow(2,-10*(t-=1))*Math.sin((t*r-s.s)*(2*Math.PI)/s.p)*.5+s.c+e},easeInBack:function(t,e,i,r,n){return void 0===n&&(n=1.70158),i*(t/=r)*t*((n+1)*t-n)+e},easeOutBack:function(t,e,i,r,n){return void 0===n&&(n=1.70158),i*((t=t/r-1)*t*((n+1)*t+n)+1)+e},easeInOutBack:function(t,e,i,r,n){return void 0===n&&(n=1.70158),(t/=r/2)<1?i/2*(t*t*((1+(n*=1.525))*t-n))+e:i/2*((t-=2)*t*((1+(n*=1.525))*t+n)+2)+e},easeInBounce:n,easeOutBounce:s,easeInOutBounce:function(t,e,i,r){return t<r/2?.5*n(2*t,0,i,r)+e:.5*s(2*t-r,0,i,r)+.5*i+e}}}(),function(t){"use strict";var C=t.fabric||(t.fabric={}),p=C.util.object.extend,f=C.util.object.clone,v=C.util.toFixed,S=C.util.parseUnit,h=C.util.multiplyTransformMatrices,m={cx:"left",x:"left",r:"radius",cy:"top",y:"top",display:"visible",visibility:"visible",transform:"transformMatrix","fill-opacity":"fillOpacity","fill-rule":"fillRule","font-family":"fontFamily","font-size":"fontSize","font-style":"fontStyle","font-weight":"fontWeight","letter-spacing":"charSpacing","paint-order":"paintFirst","stroke-dasharray":"strokeDashArray","stroke-dashoffset":"strokeDashOffset","stroke-linecap":"strokeLineCap","stroke-linejoin":"strokeLineJoin","stroke-miterlimit":"strokeMiterLimit","stroke-opacity":"strokeOpacity","stroke-width":"strokeWidth","text-decoration":"textDecoration","text-anchor":"textAnchor",opacity:"opacity","clip-path":"clipPath","clip-rule":"clipRule","vector-effect":"strokeUniform","image-rendering":"imageSmoothing"},b={stroke:"strokeOpacity",fill:"fillOpacity"},y="font-size",_="clip-path";function 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RegExp("^\\s*(?:"+("(?:"+_+"(?:"+e+"*"+_+")*)")+"?)\\s*$"),r=new RegExp(_,"g");return function(t){var v=y.concat(),m=[];if(!t||t&&!i.test(t))return v;t.replace(r,function(t){var e,i,r,n,s,o,a,h,c,l,u,f,d=new RegExp(_).exec(t).filter(function(t){return!!t}),g=d[1],p=d.slice(2).map(parseFloat);switch(g){case"translate":f=p,(u=v)[4]=f[0],2===f.length&&(u[5]=f[1]);break;case"rotate":p[0]=C.util.degreesToRadians(p[0]),s=v,o=p,a=C.util.cos(o[0]),h=C.util.sin(o[0]),l=c=0,3===o.length&&(c=o[1],l=o[2]),s[0]=a,s[1]=h,s[2]=-h,s[3]=a,s[4]=c-(a*c-h*l),s[5]=l-(h*c+a*l);break;case"scale":e=v,r=(i=p)[0],n=2===i.length?i[1]:i[0],e[0]=r,e[3]=n;break;case"skewX":b(v,p,2);break;case"skewY":b(v,p,1);break;case"matrix":v=p}m.push(v.concat()),v=y.concat()});for(var e=m[0];1<m.length;)m.shift(),e=C.util.multiplyTransformMatrices(e,m[0]);return e}}();var k=new RegExp("^\\s*("+C.reNum+"+)\\s*,?\\s*("+C.reNum+"+)\\s*,?\\s*("+C.reNum+"+)\\s*,?\\s*("+C.reNum+"+)\\s*$");function P(t){if(C.svgViewBoxElementsRegEx.test(t.nodeName)){var e,i,r,n,s,o,a=t.getAttribute("viewBox"),h=1,c=1,l=t.getAttribute("width"),u=t.getAttribute("height"),f=t.getAttribute("x")||0,d=t.getAttribute("y")||0,g=t.getAttribute("preserveAspectRatio")||"",p=!a||!(a=a.match(k)),v=!l||!u||"100%"===l||"100%"===u,m=p&&v,b={},y="",_=0,x=0;if(b.width=0,b.height=0,b.toBeParsed=m,p&&(f||d)&&"#document"!==t.parentNode.nodeName&&(y=" translate("+S(f)+" "+S(d)+") ",s=(t.getAttribute("transform")||"")+y,t.setAttribute("transform",s),t.removeAttribute("x"),t.removeAttribute("y")),m)return b;if(p)return 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i="xlink:href",r=O(t,e.getAttribute(i).substr(1));if(r&&r.getAttribute(i)&&s(t,r),["gradientTransform","x1","x2","y1","y2","gradientUnits","cx","cy","r","fx","fy"].forEach(function(t){r&&!e.hasAttribute(t)&&r.hasAttribute(t)&&e.setAttribute(t,r.getAttribute(t))}),!e.children.length)for(var n=r.cloneNode(!0);n.firstChild;)e.appendChild(n.firstChild);e.removeAttribute(i)}C.parseSVGDocument=function(t,i,e,r){if(t){!function(t){for(var e=T(t,["use","svg:use"]),i=0;e.length&&i<e.length;){var r,n,s,o,a=e[i],h=(a.getAttribute("xlink:href")||a.getAttribute("href")).substr(1),c=a.getAttribute("x")||0,l=a.getAttribute("y")||0,u=O(t,h).cloneNode(!0),f=(u.getAttribute("transform")||"")+" translate("+c+", "+l+")",d=e.length,g=C.svgNS;if(P(u),/^svg$/i.test(u.nodeName)){var 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e=t.responseXML;if(!e||!e.documentElement)return n&&n(null),!1;C.parseSVGDocument(e.documentElement,function(t,e,i,r){n&&n(t,e,i,r)},i,r)}})},loadSVGFromString:function(t,n,e,i){var r=(new C.window.DOMParser).parseFromString(t.trim(),"text/xml");C.parseSVGDocument(r.documentElement,function(t,e,i,r){n(t,e,i,r)},e,i)}})}("undefined"!=typeof exports?exports:this),fabric.ElementsParser=function(t,e,i,r,n,s){this.elements=t,this.callback=e,this.options=i,this.reviver=r,this.svgUid=i&&i.svgUid||0,this.parsingOptions=n,this.regexUrl=/^url\(['"]?#([^'"]+)['"]?\)/g,this.doc=s},function(t){t.parse=function(){this.instances=new Array(this.elements.length),this.numElements=this.elements.length,this.createObjects()},t.createObjects=function(){var i=this;this.elements.forEach(function(t,e){t.setAttribute("svgUid",i.svgUid),i.createObject(t,e)})},t.findTag=function(t){return fabric[fabric.util.string.capitalize(t.tagName.replace("svg:",""))]},t.createObject=function(t,e){var i=this.findTag(t);if(i&&i.fromElement)try{i.fromElement(t,this.createCallback(e,t),this.options)}catch(t){fabric.log(t)}else this.checkIfDone()},t.createCallback=function(i,r){var n=this;return function(t){var e;n.resolveGradient(t,r,"fill"),n.resolveGradient(t,r,"stroke"),t instanceof fabric.Image&&t._originalElement&&(e=t.parsePreserveAspectRatioAttribute(r)),t._removeTransformMatrix(e),n.resolveClipPath(t,r),n.reviver&&n.reviver(r,t),n.instances[i]=t,n.checkIfDone()}},t.extractPropertyDefinition=function(t,e,i){var r=t[e],n=this.regexUrl;if(n.test(r)){n.lastIndex=0;var s=n.exec(r)[1];return n.lastIndex=0,fabric[i][this.svgUid][s]}},t.resolveGradient=function(t,e,i){var r=this.extractPropertyDefinition(t,i,"gradientDefs");if(r){var n=e.getAttribute(i+"-opacity"),s=fabric.Gradient.fromElement(r,t,n,this.options);t.set(i,s)}},t.createClipPathCallback=function(t,e){return function(t){t._removeTransformMatrix(),t.fillRule=t.clipRule,e.push(t)}},t.resolveClipPath=function(t,e){var i,r,n,s,o=this.extractPropertyDefinition(t,"clipPath","clipPaths");if(o){n=[],r=fabric.util.invertTransform(t.calcTransformMatrix());for(var a=o[0].parentNode,h=e;h.parentNode&&h.getAttribute("clip-path")!==t.clipPath;)h=h.parentNode;h.parentNode.appendChild(a);for(var c=0;c<o.length;c++)i=o[c],this.findTag(i).fromElement(i,this.createClipPathCallback(t,n),this.options);o=1===n.length?n[0]:new fabric.Group(n),s=fabric.util.multiplyTransformMatrices(r,o.calcTransformMatrix()),o.clipPath&&this.resolveClipPath(o,h);var l=fabric.util.qrDecompose(s);o.flipX=!1,o.flipY=!1,o.set("scaleX",l.scaleX),o.set("scaleY",l.scaleY),o.angle=l.angle,o.skewX=l.skewX,o.skewY=0,o.setPositionByOrigin({x:l.translateX,y:l.translateY},"center","center"),t.clipPath=o}else delete t.clipPath},t.checkIfDone=function(){0==--this.numElements&&(this.instances=this.instances.filter(function(t){return null!=t}),this.callback(this.instances,this.elements))}}(fabric.ElementsParser.prototype),function(t){"use strict";var e=t.fabric||(t.fabric={});function i(t,e){this.x=t,this.y=e}e.Point?e.warn("fabric.Point is already defined"):(e.Point=i).prototype={type:"point",constructor:i,add:function(t){return new i(this.x+t.x,this.y+t.y)},addEquals:function(t){return this.x+=t.x,this.y+=t.y,this},scalarAdd:function(t){return new i(this.x+t,this.y+t)},scalarAddEquals:function(t){return this.x+=t,this.y+=t,this},subtract:function(t){return new i(this.x-t.x,this.y-t.y)},subtractEquals:function(t){return this.x-=t.x,this.y-=t.y,this},scalarSubtract:function(t){return new i(this.x-t,this.y-t)},scalarSubtractEquals:function(t){return this.x-=t,this.y-=t,this},multiply:function(t){return new i(this.x*t,this.y*t)},multiplyEquals:function(t){return this.x*=t,this.y*=t,this},divide:function(t){return new i(this.x/t,this.y/t)},divideEquals:function(t){return this.x/=t,this.y/=t,this},eq:function(t){return this.x===t.x&&this.y===t.y},lt:function(t){return this.x<t.x&&this.y<t.y},lte:function(t){return 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d(t){this.status=t,this.points=[]}f.Intersection?f.warn("fabric.Intersection is already defined"):(f.Intersection=d,f.Intersection.prototype={constructor:d,appendPoint:function(t){return this.points.push(t),this},appendPoints:function(t){return this.points=this.points.concat(t),this}},f.Intersection.intersectLineLine=function(t,e,i,r){var n,s=(r.x-i.x)*(t.y-i.y)-(r.y-i.y)*(t.x-i.x),o=(e.x-t.x)*(t.y-i.y)-(e.y-t.y)*(t.x-i.x),a=(r.y-i.y)*(e.x-t.x)-(r.x-i.x)*(e.y-t.y);if(0!==a){var h=s/a,c=o/a;0<=h&&h<=1&&0<=c&&c<=1?(n=new d("Intersection")).appendPoint(new f.Point(t.x+h*(e.x-t.x),t.y+h*(e.y-t.y))):n=new d}else n=new d(0===s||0===o?"Coincident":"Parallel");return n},f.Intersection.intersectLinePolygon=function(t,e,i){var r,n,s,o,a=new d,h=i.length;for(o=0;o<h;o++)r=i[o],n=i[(o+1)%h],s=d.intersectLineLine(t,e,r,n),a.appendPoints(s.points);return 0<a.points.length&&(a.status="Intersection"),a},f.Intersection.intersectPolygonPolygon=function(t,e){var i,r=new d,n=t.length;for(i=0;i<n;i++){var s=t[i],o=t[(i+1)%n],a=d.intersectLinePolygon(s,o,e);r.appendPoints(a.points)}return 0<r.points.length&&(r.status="Intersection"),r},f.Intersection.intersectPolygonRectangle=function(t,e,i){var r=e.min(i),n=e.max(i),s=new f.Point(n.x,r.y),o=new f.Point(r.x,n.y),a=d.intersectLinePolygon(r,s,t),h=d.intersectLinePolygon(s,n,t),c=d.intersectLinePolygon(n,o,t),l=d.intersectLinePolygon(o,r,t),u=new d;return u.appendPoints(a.points),u.appendPoints(h.points),u.appendPoints(c.points),u.appendPoints(l.points),0<u.points.length&&(u.status="Intersection"),u})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var c=t.fabric||(t.fabric={});function l(t){t?this._tryParsingColor(t):this.setSource([0,0,0,1])}function u(t,e,i){return i<0&&(i+=1),1<i&&(i-=1),i<1/6?t+6*(e-t)*i:i<.5?e:i<2/3?t+(e-t)*(2/3-i)*6:t}c.Color?c.warn("fabric.Color is already defined."):(c.Color=l,c.Color.prototype={_tryParsingColor:function(t){var e;t in l.colorNameMap&&(t=l.colorNameMap[t]),"transparent"===t&&(e=[255,255,255,0]),e||(e=l.sourceFromHex(t)),e||(e=l.sourceFromRgb(t)),e||(e=l.sourceFromHsl(t)),e||(e=[0,0,0,1]),e&&this.setSource(e)},_rgbToHsl:function(t,e,i){t/=255,e/=255,i/=255;var r,n,s,o=c.util.array.max([t,e,i]),a=c.util.array.min([t,e,i]);if(s=(o+a)/2,o===a)r=n=0;else{var h=o-a;switch(n=.5<s?h/(2-o-a):h/(o+a),o){case t:r=(e-i)/h+(e<i?6:0);break;case e:r=(i-t)/h+2;break;case i:r=(t-e)/h+4}r/=6}return[Math.round(360*r),Math.round(100*n),Math.round(100*s)]},getSource:function(){return this._source},setSource:function(t){this._source=t},toRgb:function(){var t=this.getSource();return"rgb("+t[0]+","+t[1]+","+t[2]+")"},toRgba:function(){var t=this.getSource();return"rgba("+t[0]+","+t[1]+","+t[2]+","+t[3]+")"},toHsl:function(){var t=this.getSource(),e=this._rgbToHsl(t[0],t[1],t[2]);return"hsl("+e[0]+","+e[1]+"%,"+e[2]+"%)"},toHsla:function(){var t=this.getSource(),e=this._rgbToHsl(t[0],t[1],t[2]);return"hsla("+e[0]+","+e[1]+"%,"+e[2]+"%,"+t[3]+")"},toHex:function(){var t,e,i,r=this.getSource();return t=1===(t=r[0].toString(16)).length?"0"+t:t,e=1===(e=r[1].toString(16)).length?"0"+e:e,i=1===(i=r[2].toString(16)).length?"0"+i:i,t.toUpperCase()+e.toUpperCase()+i.toUpperCase()},toHexa:function(){var t,e=this.getSource();return t=1===(t=(t=Math.round(255*e[3])).toString(16)).length?"0"+t:t,this.toHex()+t.toUpperCase()},getAlpha:function(){return this.getSource()[3]},setAlpha:function(t){var e=this.getSource();return e[3]=t,this.setSource(e),this},toGrayscale:function(){var t=this.getSource(),e=parseInt((.3*t[0]+.59*t[1]+.11*t[2]).toFixed(0),10),i=t[3];return this.setSource([e,e,e,i]),this},toBlackWhite:function(t){var e=this.getSource(),i=(.3*e[0]+.59*e[1]+.11*e[2]).toFixed(0),r=e[3];return t=t||127,i=Number(i)<Number(t)?0:255,this.setSource([i,i,i,r]),this},overlayWith:function(t){t instanceof l||(t=new l(t));var e,i=[],r=this.getAlpha(),n=this.getSource(),s=t.getSource();for(e=0;e<3;e++)i.push(Math.round(.5*n[e]+.5*s[e]));return i[3]=r,this.setSource(i),this}},c.Color.reRGBa=/^rgba?\(\s*(\d{1,3}(?:\.\d+)?\%?)\s*,\s*(\d{1,3}(?:\.\d+)?\%?)\s*,\s*(\d{1,3}(?:\.\d+)?\%?)\s*(?:\s*,\s*((?:\d*\.?\d+)?)\s*)?\)$/i,c.Color.reHSLa=/^hsla?\(\s*(\d{1,3})\s*,\s*(\d{1,3}\%)\s*,\s*(\d{1,3}\%)\s*(?:\s*,\s*(\d+(?:\.\d+)?)\s*)?\)$/i,c.Color.reHex=/^#?([0-9a-f]{8}|[0-9a-f]{6}|[0-9a-f]{4}|[0-9a-f]{3})$/i,c.Color.colorNameMap={aliceblue:"#F0F8FF",antiquewhite:"#FAEBD7",aqua:"#00FFFF",aquamarine:"#7FFFD4",azure:"#F0FFFF",beige:"#F5F5DC",bisque:"#FFE4C4",black:"#000000",blanchedalmond:"#FFEBCD",blue:"#0000FF",blueviolet:"#8A2BE2",brown:"#A52A2A",burlywood:"#DEB887",cadetblue:"#5F9EA0",chartreuse:"#7FFF00",chocolate:"#D2691E",coral:"#FF7F50",cornflowerblue:"#6495ED",cornsilk:"#FFF8DC",crimson:"#DC143C",cyan:"#00FFFF",darkblue:"#00008B",darkcyan:"#008B8B",darkgoldenrod:"#B8860B",darkgray:"#A9A9A9",darkgrey:"#A9A9A9",darkgreen:"#006400",darkkhaki:"#BDB76B",darkmagenta:"#8B008B",darkolivegreen:"#556B2F",darkorange:"#FF8C00",darkorchid:"#9932CC",darkred:"#8B0000",darksalmon:"#E9967A",darkseagreen:"#8FBC8F",darkslateblue:"#483D8B",darkslategray:"#2F4F4F",darkslategrey:"#2F4F4F",darkturquoise:"#00CED1",darkviolet:"#9400D3",deeppink:"#FF1493",deepskyblue:"#00BFFF",dimgray:"#696969",dimgrey:"#696969",dodgerblue:"#1E90FF",firebrick:"#B22222",floralwhite:"#FFFAF0",forestgreen:"#228B22",fuchsia:"#FF00FF",gainsboro:"#DCDCDC",ghostwhite:"#F8F8FF",gold:"#FFD700",goldenrod:"#DAA520",gray:"#808080",grey:"#808080",green:"#008000",greenyellow:"#ADFF2F",honeydew:"#F0FFF0",hotpink:"#FF69B4",indianred:"#CD5C5C",indigo:"#4B0082",ivory:"#FFFFF0",khaki:"#F0E68C",lavender:"#E6E6FA",lavenderblush:"#FFF0F5",lawngreen:"#7CFC00",lemonchiffon:"#FFFACD",lightblue:"#ADD8E6",lightcoral:"#F08080",lightcyan:"#E0FFFF",lightgoldenrodyellow:"#FAFAD2",lightgray:"#D3D3D3",lightgrey:"#D3D3D3",lightgreen:"#90EE90",lightpink:"#FFB6C1",lightsalmon:"#FFA07A",lightseagreen:"#20B2AA",lightskyblue:"#87CEFA",lightslategray:"#778899",lightslategrey:"#778899",lightsteelblue:"#B0C4DE",lightyellow:"#FFFFE0",lime:"#00FF00",limegreen:"#32CD32",linen:"#FAF0E6",magenta:"#FF00FF",maroon:"#800000",mediumaquamarine:"#66CDAA",mediumblue:"#0000CD",mediumorchid:"#BA55D3",mediumpurple:"#9370DB",mediumseagreen:"#3CB371",mediumslateblue:"#7B68EE",mediumspringgreen:"#00FA9A",mediumturquoise:"#48D1CC",mediumvioletred:"#C71585",midnightblue:"#191970",mintcream:"#F5FFFA",mistyrose:"#FFE4E1",moccasin:"#FFE4B5",navajowhite:"#FFDEAD",navy:"#000080",oldlace:"#FDF5E6",olive:"#808000",olivedrab:"#6B8E23",orange:"#FFA500",orangered:"#FF4500",orchid:"#DA70D6",palegoldenrod:"#EEE8AA",palegreen:"#98FB98",paleturquoise:"#AFEEEE",palevioletred:"#DB7093",papayawhip:"#FFEFD5",peachpuff:"#FFDAB9",peru:"#CD853F",pink:"#FFC0CB",plum:"#DDA0DD",powderblue:"#B0E0E6",purple:"#800080",rebeccapurple:"#663399",red:"#FF0000",rosybrown:"#BC8F8F",royalblue:"#4169E1",saddlebrown:"#8B4513",salmon:"#FA8072",sandybrown:"#F4A460",seagreen:"#2E8B57",seashell:"#FFF5EE",sienna:"#A0522D",silver:"#C0C0C0",skyblue:"#87CEEB",slateblue:"#6A5ACD",slategray:"#708090",slategrey:"#708090",snow:"#FFFAFA",springgreen:"#00FF7F",steelblue:"#4682B4",tan:"#D2B48C",teal:"#008080",thistle:"#D8BFD8",tomato:"#FF6347",turquoise:"#40E0D0",violet:"#EE82EE",wheat:"#F5DEB3",white:"#FFFFFF",whitesmoke:"#F5F5F5",yellow:"#FFFF00",yellowgreen:"#9ACD32"},c.Color.fromRgb=function(t){return l.fromSource(l.sourceFromRgb(t))},c.Color.sourceFromRgb=function(t){var e=t.match(l.reRGBa);if(e){var i=parseInt(e[1],10)/(/%$/.test(e[1])?100:1)*(/%$/.test(e[1])?255:1),r=parseInt(e[2],10)/(/%$/.test(e[2])?100:1)*(/%$/.test(e[2])?255:1),n=parseInt(e[3],10)/(/%$/.test(e[3])?100:1)*(/%$/.test(e[3])?255:1);return[parseInt(i,10),parseInt(r,10),parseInt(n,10),e[4]?parseFloat(e[4]):1]}},c.Color.fromRgba=l.fromRgb,c.Color.fromHsl=function(t){return l.fromSource(l.sourceFromHsl(t))},c.Color.sourceFromHsl=function(t){var e=t.match(l.reHSLa);if(e){var i,r,n,s=(parseFloat(e[1])%360+360)%360/360,o=parseFloat(e[2])/(/%$/.test(e[2])?100:1),a=parseFloat(e[3])/(/%$/.test(e[3])?100:1);if(0===o)i=r=n=a;else{var h=a<=.5?a*(o+1):a+o-a*o,c=2*a-h;i=u(c,h,s+1/3),r=u(c,h,s),n=u(c,h,s-1/3)}return[Math.round(255*i),Math.round(255*r),Math.round(255*n),e[4]?parseFloat(e[4]):1]}},c.Color.fromHsla=l.fromHsl,c.Color.fromHex=function(t){return l.fromSource(l.sourceFromHex(t))},c.Color.sourceFromHex=function(t){if(t.match(l.reHex)){var e=t.slice(t.indexOf("#")+1),i=3===e.length||4===e.length,r=8===e.length||4===e.length,n=i?e.charAt(0)+e.charAt(0):e.substring(0,2),s=i?e.charAt(1)+e.charAt(1):e.substring(2,4),o=i?e.charAt(2)+e.charAt(2):e.substring(4,6),a=r?i?e.charAt(3)+e.charAt(3):e.substring(6,8):"FF";return[parseInt(n,16),parseInt(s,16),parseInt(o,16),parseFloat((parseInt(a,16)/255).toFixed(2))]}},c.Color.fromSource=function(t){var e=new l;return e.setSource(t),e})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var l=t.fabric||(t.fabric={}),o=["e","se","s","sw","w","nw","n","ne","e"],s=["ns","nesw","ew","nwse"],n={},f="left",d="top",g="right",p="bottom",h="center",T={top:p,bottom:d,left:g,right:f,center:h},v=l.util.radiansToDegrees,w=Math.sign||function(t){return(0<t)-(t<0)||+t};function a(t,e){var i=t.angle+v(Math.atan2(e.y,e.x))+360;return Math.round(i%360/45)}function O(t,e){var i=e.transform.target,r=i.canvas,n=l.util.object.clone(e);n.target=i,r&&r.fire("object:"+t,n),i.fire(t,e)}function k(t,e){var i=e.canvas,r=t[i.uniScaleKey];return i.uniformScaling&&!r||!i.uniformScaling&&r}function P(t){return t.originX===h&&t.originY===h}function D(t,e,i){var r=t.lockScalingX,n=t.lockScalingY;return!(!r||!n)||(!(e||!r&&!n||!i)||(!(!r||"x"!==e)||!(!n||"y"!==e)))}function E(t,e,i,r){return{e:t,transform:e,pointer:{x:i,y:r}}}function c(h){return function(t,e,i,r){var n=e.target,s=n.getCenterPoint(),o=n.translateToOriginPoint(s,e.originX,e.originY),a=h(t,e,i,r);return n.setPositionByOrigin(o,e.originX,e.originY),a}}function A(t,e,i,r,n){var s=t.target,o=s.controls[t.corner],a=s.canvas.getZoom(),h=s.padding/a,c=s.toLocalPoint(new l.Point(r,n),e,i);return c.x>=h&&(c.x-=h),c.x<=-h&&(c.x+=h),c.y>=h&&(c.y-=h),c.y<=h&&(c.y+=h),c.x-=o.offsetX,c.y-=o.offsetY,c}function m(t){return t.flipX&&!t.flipY||!t.flipX&&t.flipY}function b(t,e,i,r,n){if(0!==t[e]){var s=n/t._getTransformedDimensions()[r]*t[i];t.set(i,s)}}function u(t,e,i,r){var n,s=e.target,o=s._getTransformedDimensions(0,s.skewY),a=A(e,e.originX,e.originY,i,r),h=Math.abs(2*a.x)-o.x,c=s.skewX;h<2?n=0:(n=v(Math.atan2(h/s.scaleX,o.y/s.scaleY)),e.originX===f&&e.originY===p&&(n=-n),e.originX===g&&e.originY===d&&(n=-n),m(s)&&(n=-n));var l=c!==n;if(l){var u=s._getTransformedDimensions().y;s.set("skewX",n),b(s,"skewY","scaleY","y",u),O("skewing",E(t,e,i,r))}return l}function y(t,e,i,r){var n,s=e.target,o=s._getTransformedDimensions(s.skewX,0),a=A(e,e.originX,e.originY,i,r),h=Math.abs(2*a.y)-o.y,c=s.skewY;h<2?n=0:(n=v(Math.atan2(h/s.scaleY,o.x/s.scaleX)),e.originX===f&&e.originY===p&&(n=-n),e.originX===g&&e.originY===d&&(n=-n),m(s)&&(n=-n));var l=c!==n;if(l){var u=s._getTransformedDimensions().x;s.set("skewY",n),b(s,"skewX","scaleX","x",u),O("skewing",E(t,e,i,r))}return l}function _(t,e,i,r,n){n=n||{};var s,o,a,h,c,l,u=e.target,f=u.lockScalingX,d=u.lockScalingY,g=n.by,p=k(t,u),v=D(u,g,p),m=e.gestureScale;if(v)return!1;if(m)o=e.scaleX*m,a=e.scaleY*m;else{if(s=A(e,e.originX,e.originY,i,r),c="y"!==g?w(s.x):1,l="x"!==g?w(s.y):1,e.signX||(e.signX=c),e.signY||(e.signY=l),u.lockScalingFlip&&(e.signX!==c||e.signY!==l))return!1;if(h=u._getTransformedDimensions(),p&&!g){var b,y=Math.abs(s.x)+Math.abs(s.y),_=e.original,x=y/(Math.abs(h.x*_.scaleX/u.scaleX)+Math.abs(h.y*_.scaleY/u.scaleY));o=_.scaleX*x,a=_.scaleY*x}else o=Math.abs(s.x*u.scaleX/h.x),a=Math.abs(s.y*u.scaleY/h.y);P(e)&&(o*=2,a*=2),e.signX!==c&&"y"!==g&&(e.originX=T[e.originX],o*=-1,e.signX=c),e.signY!==l&&"x"!==g&&(e.originY=T[e.originY],a*=-1,e.signY=l)}var C=u.scaleX,S=u.scaleY;return g?("x"===g&&u.set("scaleX",o),"y"===g&&u.set("scaleY",a)):(!f&&u.set("scaleX",o),!d&&u.set("scaleY",a)),(b=C!==u.scaleX||S!==u.scaleY)&&O("scaling",E(t,e,i,r)),b}n.scaleCursorStyleHandler=function(t,e,i){var r=k(t,i),n="";if(0!==e.x&&0===e.y?n="x":0===e.x&&0!==e.y&&(n="y"),D(i,n,r))return"not-allowed";var s=a(i,e);return o[s]+"-resize"},n.skewCursorStyleHandler=function(t,e,i){var r="not-allowed";if(0!==e.x&&i.lockSkewingY)return r;if(0!==e.y&&i.lockSkewingX)return r;var n=a(i,e)%4;return s[n]+"-resize"},n.scaleSkewCursorStyleHandler=function(t,e,i){return t[i.canvas.altActionKey]?n.skewCursorStyleHandler(t,e,i):n.scaleCursorStyleHandler(t,e,i)},n.rotationWithSnapping=c(function(t,e,i,r){var n=e,s=n.target,o=s.translateToOriginPoint(s.getCenterPoint(),n.originX,n.originY);if(s.lockRotation)return!1;var a,h=Math.atan2(n.ey-o.y,n.ex-o.x),c=Math.atan2(r-o.y,i-o.x),l=v(c-h+n.theta);if(0<s.snapAngle){var u=s.snapAngle,f=s.snapThreshold||u,d=Math.ceil(l/u)*u,g=Math.floor(l/u)*u;Math.abs(l-g)<f?l=g:Math.abs(l-d)<f&&(l=d)}return l<0&&(l=360+l),l%=360,a=s.angle!==l,s.angle=l,a&&O("rotating",E(t,e,i,r)),a}),n.scalingEqually=c(function(t,e,i,r){return _(t,e,i,r)}),n.scalingX=c(function(t,e,i,r){return _(t,e,i,r,{by:"x"})}),n.scalingY=c(function(t,e,i,r){return _(t,e,i,r,{by:"y"})}),n.scalingYOrSkewingX=function(t,e,i,r){return t[e.target.canvas.altActionKey]?n.skewHandlerX(t,e,i,r):n.scalingY(t,e,i,r)},n.scalingXOrSkewingY=function(t,e,i,r){return t[e.target.canvas.altActionKey]?n.skewHandlerY(t,e,i,r):n.scalingX(t,e,i,r)},n.changeWidth=c(function(t,e,i,r){var n,s=e.target,o=A(e,e.originX,e.originY,i,r),a=s.strokeWidth/(s.strokeUniform?s.scaleX:1),h=P(e)?2:1,c=s.width,l=Math.abs(o.x*h/s.scaleX)-a;return s.set("width",Math.max(l,0)),(n=c!==l)&&O("resizing",E(t,e,i,r)),n}),n.skewHandlerX=function(t,e,i,r){var n,s=e.target,o=s.skewX,a=e.originY;return!s.lockSkewingX&&(0===o?n=0<A(e,h,h,i,r).x?f:g:(0<o&&(n=a===d?f:g),o<0&&(n=a===d?g:f),m(s)&&(n=n===f?g:f)),e.originX=n,c(u)(t,e,i,r))},n.skewHandlerY=function(t,e,i,r){var n,s=e.target,o=s.skewY,a=e.originX;return!s.lockSkewingY&&(0===o?n=0<A(e,h,h,i,r).y?d:p:(0<o&&(n=a===f?d:p),o<0&&(n=a===f?p:d),m(s)&&(n=n===d?p:d)),e.originY=n,c(y)(t,e,i,r))},n.dragHandler=function(t,e,i,r){var n=e.target,s=i-e.offsetX,o=r-e.offsetY,a=!n.get("lockMovementX")&&n.left!==s,h=!n.get("lockMovementY")&&n.top!==o;return a&&n.set("left",s),h&&n.set("top",o),(a||h)&&O("moving",E(t,e,i,r)),a||h},n.scaleOrSkewActionName=function(t,e,i){var r=t[i.canvas.altActionKey];return 0===e.x?r?"skewX":"scaleY":0===e.y?r?"skewY":"scaleX":void 0},n.rotationStyleHandler=function(t,e,i){return i.lockRotation?"not-allowed":e.cursorStyle},n.fireEvent=O,n.wrapWithFixedAnchor=c,n.getLocalPoint=A,l.controlsUtils=n}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),f=e.util.degreesToRadians,i=e.controlsUtils;i.renderCircleControl=function(t,e,i,r,n){r=r||{};var s,o=this.sizeX||r.cornerSize||n.cornerSize,a=this.sizeY||r.cornerSize||n.cornerSize,h=void 0!==r.transparentCorners?r.transparentCorners:this.transparentCorners,c=h?"stroke":"fill",l=!h&&(r.cornerStrokeColor||n.cornerStrokeColor),u=e,f=i;t.save(),t.fillStyle=r.cornerColor||n.cornerColor,t.strokeStyle=r.cornerStrokeColor||n.cornerStrokeColor,a<o?(s=o,t.scale(1,a/o),f=i*o/a):o<a?(s=a,t.scale(o/a,1),u=e*a/o):s=o,t.lineWidth=1,t.beginPath(),t.arc(u,f,s/2,0,2*Math.PI,!1),t[c](),l&&t.stroke(),t.restore()},i.renderSquareControl=function(t,e,i,r,n){r=r||{};var s=this.sizeX||r.cornerSize||n.cornerSize,o=this.sizeY||r.cornerSize||n.cornerSize,a=void 0!==r.transparentCorners?r.transparentCorners:n.transparentCorners,h=a?"stroke":"fill",c=!a&&(r.cornerStrokeColor||n.cornerStrokeColor),l=s/2,u=o/2;t.save(),t.fillStyle=r.cornerColor||n.cornerColor,t.strokeStyle=r.strokeCornerColor||n.strokeCornerColor,t.lineWidth=1,t.translate(e,i),t.rotate(f(n.angle)),t[h+"Rect"](-l,-u,s,o),c&&t.strokeRect(-l,-u,s,o),t.restore()}}("undefined"!=typeof exports?exports:this),function(t){"use strict";var p=t.fabric||(t.fabric={});p.Control=function(t){for(var e in t)this[e]=t[e]},p.Control.prototype={visible:!0,actionName:"scale",angle:0,x:0,y:0,offsetX:0,offsetY:0,sizeX:null,sizeY:null,touchSizeX:null,touchSizeY:null,cursorStyle:"crosshair",withConnection:!1,actionHandler:function(){},mouseDownHandler:function(){},mouseUpHandler:function(){},getActionHandler:function(){return this.actionHandler},getMouseDownHandler:function(){return this.mouseDownHandler},getMouseUpHandler:function(){return this.mouseUpHandler},cursorStyleHandler:function(t,e){return e.cursorStyle},getActionName:function(t,e){return e.actionName},getVisibility:function(t,e){var i=t._controlsVisibility;return i&&void 0!==i[e]?i[e]:this.visible},setVisibility:function(t){this.visible=t},positionHandler:function(t,e){return p.util.transformPoint({x:this.x*t.x+this.offsetX,y:this.y*t.y+this.offsetY},e)},calcCornerCoords:function(t,e,i,r,n){var s,o,a,h,c=n?this.touchSizeX:this.sizeX,l=n?this.touchSizeY:this.sizeY;if(c&&l&&c!==l){var u=Math.atan2(l,c),f=Math.sqrt(c*c+l*l)/2,d=u-p.util.degreesToRadians(t),g=Math.PI/2-u-p.util.degreesToRadians(t);s=f*p.util.cos(d),o=f*p.util.sin(d),a=f*p.util.cos(g),h=f*p.util.sin(g)}else{f=.7071067812*(c&&l?c:e);d=p.util.degreesToRadians(45-t);s=a=f*p.util.cos(d),o=h=f*p.util.sin(d)}return{tl:{x:i-h,y:r-a},tr:{x:i+s,y:r-o},bl:{x:i-s,y:r+o},br:{x:i+h,y:r+a}}},render:function(t,e,i,r,n){switch((r=r||{}).cornerStyle||n.cornerStyle){case"circle":p.controlsUtils.renderCircleControl.call(this,t,e,i,r,n);break;default:p.controlsUtils.renderSquareControl.call(this,t,e,i,r,n)}}}}("undefined"!=typeof exports?exports:this),function(){function C(t,e){var i,r,n,s,o=t.getAttribute("style"),a=t.getAttribute("offset")||0;if(a=(a=parseFloat(a)/(/%$/.test(a)?100:1))<0?0:1<a?1:a,o){var h=o.split(/\s*;\s*/);for(""===h[h.length-1]&&h.pop(),s=h.length;s--;){var c=h[s].split(/\s*:\s*/),l=c[0].trim(),u=c[1].trim();"stop-color"===l?i=u:"stop-opacity"===l&&(n=u)}}return i||(i=t.getAttribute("stop-color")||"rgb(0,0,0)"),n||(n=t.getAttribute("stop-opacity")),r=(i=new fabric.Color(i)).getAlpha(),n=isNaN(parseFloat(n))?1:parseFloat(n),n*=r*e,{offset:a,color:i.toRgb(),opacity:n}}var m=fabric.util.object.clone;fabric.Gradient=fabric.util.createClass({offsetX:0,offsetY:0,gradientTransform:null,gradientUnits:"pixels",type:"linear",initialize:function(e){e||(e={}),e.coords||(e.coords={});var t,i=this;Object.keys(e).forEach(function(t){i[t]=e[t]}),this.id?this.id+="_"+fabric.Object.__uid++:this.id=fabric.Object.__uid++,t={x1:e.coords.x1||0,y1:e.coords.y1||0,x2:e.coords.x2||0,y2:e.coords.y2||0},"radial"===this.type&&(t.r1=e.coords.r1||0,t.r2=e.coords.r2||0),this.coords=t,this.colorStops=e.colorStops.slice()},addColorStop:function(t){for(var e in t){var i=new fabric.Color(t[e]);this.colorStops.push({offset:parseFloat(e),color:i.toRgb(),opacity:i.getAlpha()})}return this},toObject:function(t){var e={type:this.type,coords:this.coords,colorStops:this.colorStops,offsetX:this.offsetX,offsetY:this.offsetY,gradientUnits:this.gradientUnits,gradientTransform:this.gradientTransform?this.gradientTransform.concat():this.gradientTransform};return fabric.util.populateWithProperties(this,e,t),e},toSVG:function(t,e){var i,r,n,s,o=m(this.coords,!0),a=(e=e||{},m(this.colorStops,!0)),h=o.r1>o.r2,c=this.gradientTransform?this.gradientTransform.concat():fabric.iMatrix.concat(),l=-this.offsetX,u=-this.offsetY,f=!!e.additionalTransform,d="pixels"===this.gradientUnits?"userSpaceOnUse":"objectBoundingBox";if(a.sort(function(t,e){return t.offset-e.offset}),"objectBoundingBox"===d?(l/=t.width,u/=t.height):(l+=t.width/2,u+=t.height/2),"path"===t.type&&"percentage"!==this.gradientUnits&&(l-=t.pathOffset.x,u-=t.pathOffset.y),c[4]-=l,c[5]-=u,s='id="SVGID_'+this.id+'" gradientUnits="'+d+'"',s+=' gradientTransform="'+(f?e.additionalTransform+" ":"")+fabric.util.matrixToSVG(c)+'" ',"linear"===this.type?n=["<linearGradient ",s,' x1="',o.x1,'" y1="',o.y1,'" x2="',o.x2,'" y2="',o.y2,'">\n']:"radial"===this.type&&(n=["<radialGradient ",s,' cx="',h?o.x1:o.x2,'" cy="',h?o.y1:o.y2,'" r="',h?o.r1:o.r2,'" fx="',h?o.x2:o.x1,'" fy="',h?o.y2:o.y1,'">\n']),"radial"===this.type){if(h)for((a=a.concat()).reverse(),i=0,r=a.length;i<r;i++)a[i].offset=1-a[i].offset;var g=Math.min(o.r1,o.r2);if(0<g){var p=g/Math.max(o.r1,o.r2);for(i=0,r=a.length;i<r;i++)a[i].offset+=p*(1-a[i].offset)}}for(i=0,r=a.length;i<r;i++){var v=a[i];n.push("<stop ",'offset="',100*v.offset+"%",'" style="stop-color:',v.color,void 0!==v.opacity?";stop-opacity: "+v.opacity:";",'"/>\n')}return n.push("linear"===this.type?"</linearGradient>\n":"</radialGradient>\n"),n.join("")},toLive:function(t){var e,i,r,n=fabric.util.object.clone(this.coords);if(this.type){for("linear"===this.type?e=t.createLinearGradient(n.x1,n.y1,n.x2,n.y2):"radial"===this.type&&(e=t.createRadialGradient(n.x1,n.y1,n.r1,n.x2,n.y2,n.r2)),i=0,r=this.colorStops.length;i<r;i++){var s=this.colorStops[i].color,o=this.colorStops[i].opacity,a=this.colorStops[i].offset;void 0!==o&&(s=new fabric.Color(s).setAlpha(o).toRgba()),e.addColorStop(a,s)}return e}}}),fabric.util.object.extend(fabric.Gradient,{fromElement:function(t,e,i,r){var n=parseFloat(i)/(/%$/.test(i)?100:1);n=n<0?0:1<n?1:n,isNaN(n)&&(n=1);var s,o,a,h,c,l,u,f,d,g,p,v=t.getElementsByTagName("stop"),m="userSpaceOnUse"===t.getAttribute("gradientUnits")?"pixels":"percentage",b=t.getAttribute("gradientTransform")||"",y=[],_=0,x=0;for("linearGradient"===t.nodeName||"LINEARGRADIENT"===t.nodeName?(s="linear",o={x1:(l=t).getAttribute("x1")||0,y1:l.getAttribute("y1")||0,x2:l.getAttribute("x2")||"100%",y2:l.getAttribute("y2")||0}):(s="radial",o={x1:(c=t).getAttribute("fx")||c.getAttribute("cx")||"50%",y1:c.getAttribute("fy")||c.getAttribute("cy")||"50%",r1:0,x2:c.getAttribute("cx")||"50%",y2:c.getAttribute("cy")||"50%",r2:c.getAttribute("r")||"50%"}),a=v.length;a--;)y.push(C(v[a],n));return h=fabric.parseTransformAttribute(b),u=o,f=r,d=m,Object.keys(u).forEach(function(t){"Infinity"===(g=u[t])?p=1:"-Infinity"===g?p=0:(p=parseFloat(u[t],10),"string"==typeof g&&/^(\d+\.\d+)%|(\d+)%$/.test(g)&&(p*=.01,"pixels"===d&&("x1"!==t&&"x2"!==t&&"r2"!==t||(p*=f.viewBoxWidth||f.width),"y1"!==t&&"y2"!==t||(p*=f.viewBoxHeight||f.height)))),u[t]=p}),"pixels"===m&&(_=-e.left,x=-e.top),new fabric.Gradient({id:t.getAttribute("id"),type:s,coords:o,colorStops:y,gradientUnits:m,gradientTransform:h,offsetX:_,offsetY:x})}})}(),function(){"use strict";var n=fabric.util.toFixed;fabric.Pattern=fabric.util.createClass({repeat:"repeat",offsetX:0,offsetY:0,crossOrigin:"",patternTransform:null,initialize:function(t,i){if(t||(t={}),this.id=fabric.Object.__uid++,this.setOptions(t),!t.source||t.source&&"string"!=typeof t.source)i&&i(this);else{var r=this;this.source=fabric.util.createImage(),fabric.util.loadImage(t.source,function(t,e){r.source=t,i&&i(r,e)},null,this.crossOrigin)}},toObject:function(t){var e,i,r=fabric.Object.NUM_FRACTION_DIGITS;return"string"==typeof this.source.src?e=this.source.src:"object"==typeof this.source&&this.source.toDataURL&&(e=this.source.toDataURL()),i={type:"pattern",source:e,repeat:this.repeat,crossOrigin:this.crossOrigin,offsetX:n(this.offsetX,r),offsetY:n(this.offsetY,r),patternTransform:this.patternTransform?this.patternTransform.concat():null},fabric.util.populateWithProperties(this,i,t),i},toSVG:function(t){var e="function"==typeof this.source?this.source():this.source,i=e.width/t.width,r=e.height/t.height,n=this.offsetX/t.width,s=this.offsetY/t.height,o="";return"repeat-x"!==this.repeat&&"no-repeat"!==this.repeat||(r=1,s&&(r+=Math.abs(s))),"repeat-y"!==this.repeat&&"no-repeat"!==this.repeat||(i=1,n&&(i+=Math.abs(n))),e.src?o=e.src:e.toDataURL&&(o=e.toDataURL()),'<pattern id="SVGID_'+this.id+'" x="'+n+'" y="'+s+'" width="'+i+'" height="'+r+'">\n<image x="0" y="0" width="'+e.width+'" height="'+e.height+'" xlink:href="'+o+'"></image>\n</pattern>\n'},setOptions:function(t){for(var e in t)this[e]=t[e]},toLive:function(t){var e=this.source;if(!e)return"";if(void 0!==e.src){if(!e.complete)return"";if(0===e.naturalWidth||0===e.naturalHeight)return""}return t.createPattern(e,this.repeat)}})}(),function(t){"use strict";var o=t.fabric||(t.fabric={}),a=o.util.toFixed;o.Shadow?o.warn("fabric.Shadow is already defined."):(o.Shadow=o.util.createClass({color:"rgb(0,0,0)",blur:0,offsetX:0,offsetY:0,affectStroke:!1,includeDefaultValues:!0,nonScaling:!1,initialize:function(t){for(var e in"string"==typeof t&&(t=this._parseShadow(t)),t)this[e]=t[e];this.id=o.Object.__uid++},_parseShadow:function(t){var e=t.trim(),i=o.Shadow.reOffsetsAndBlur.exec(e)||[];return{color:(e.replace(o.Shadow.reOffsetsAndBlur,"")||"rgb(0,0,0)").trim(),offsetX:parseInt(i[1],10)||0,offsetY:parseInt(i[2],10)||0,blur:parseInt(i[3],10)||0}},toString:function(){return[this.offsetX,this.offsetY,this.blur,this.color].join("px ")},toSVG:function(t){var e=40,i=40,r=o.Object.NUM_FRACTION_DIGITS,n=o.util.rotateVector({x:this.offsetX,y:this.offsetY},o.util.degreesToRadians(-t.angle)),s=new o.Color(this.color);return t.width&&t.height&&(e=100*a((Math.abs(n.x)+this.blur)/t.width,r)+20,i=100*a((Math.abs(n.y)+this.blur)/t.height,r)+20),t.flipX&&(n.x*=-1),t.flipY&&(n.y*=-1),'<filter id="SVGID_'+this.id+'" y="-'+i+'%" height="'+(100+2*i)+'%" x="-'+e+'%" width="'+(100+2*e)+'%" >\n\t<feGaussianBlur in="SourceAlpha" stdDeviation="'+a(this.blur?this.blur/2:0,r)+'"></feGaussianBlur>\n\t<feOffset dx="'+a(n.x,r)+'" dy="'+a(n.y,r)+'" result="oBlur" ></feOffset>\n\t<feFlood flood-color="'+s.toRgb()+'" flood-opacity="'+s.getAlpha()+'"/>\n\t<feComposite in2="oBlur" operator="in" />\n\t<feMerge>\n\t\t<feMergeNode></feMergeNode>\n\t\t<feMergeNode in="SourceGraphic"></feMergeNode>\n\t</feMerge>\n</filter>\n'},toObject:function(){if(this.includeDefaultValues)return{color:this.color,blur:this.blur,offsetX:this.offsetX,offsetY:this.offsetY,affectStroke:this.affectStroke,nonScaling:this.nonScaling};var e={},i=o.Shadow.prototype;return["color","blur","offsetX","offsetY","affectStroke","nonScaling"].forEach(function(t){this[t]!==i[t]&&(e[t]=this[t])},this),e}}),o.Shadow.reOffsetsAndBlur=/(?:\s|^)(-?\d+(?:px)?(?:\s?|$))?(-?\d+(?:px)?(?:\s?|$))?(\d+(?:px)?)?(?:\s?|$)(?:$|\s)/)}("undefined"!=typeof exports?exports:this),function(){"use strict";if(fabric.StaticCanvas)fabric.warn("fabric.StaticCanvas is already defined.");else{var n=fabric.util.object.extend,t=fabric.util.getElementOffset,c=fabric.util.removeFromArray,a=fabric.util.toFixed,s=fabric.util.transformPoint,o=fabric.util.invertTransform,i=fabric.util.getNodeCanvas,r=fabric.util.createCanvasElement,e=new Error("Could not initialize `canvas` element");fabric.StaticCanvas=fabric.util.createClass(fabric.CommonMethods,{initialize:function(t,e){e||(e={}),this.renderAndResetBound=this.renderAndReset.bind(this),this.requestRenderAllBound=this.requestRenderAll.bind(this),this._initStatic(t,e)},backgroundColor:"",backgroundImage:null,overlayColor:"",overlayImage:null,includeDefaultValues:!0,stateful:!1,renderOnAddRemove:!0,controlsAboveOverlay:!1,allowTouchScrolling:!1,imageSmoothingEnabled:!0,viewportTransform:fabric.iMatrix.concat(),backgroundVpt:!0,overlayVpt:!0,enableRetinaScaling:!0,vptCoords:{},skipOffscreen:!0,clipPath:void 0,_initStatic:function(t,e){var i=this.requestRenderAllBound;this._objects=[],this._createLowerCanvas(t),this._initOptions(e),this.interactive||this._initRetinaScaling(),e.overlayImage&&this.setOverlayImage(e.overlayImage,i),e.backgroundImage&&this.setBackgroundImage(e.backgroundImage,i),e.backgroundColor&&this.setBackgroundColor(e.backgroundColor,i),e.overlayColor&&this.setOverlayColor(e.overlayColor,i),this.calcOffset()},_isRetinaScaling:function(){return 1!==fabric.devicePixelRatio&&this.enableRetinaScaling},getRetinaScaling:function(){return this._isRetinaScaling()?fabric.devicePixelRatio:1},_initRetinaScaling:function(){if(this._isRetinaScaling()){var t=fabric.devicePixelRatio;this.__initRetinaScaling(t,this.lowerCanvasEl,this.contextContainer),this.upperCanvasEl&&this.__initRetinaScaling(t,this.upperCanvasEl,this.contextTop)}},__initRetinaScaling:function(t,e,i){e.setAttribute("width",this.width*t),e.setAttribute("height",this.height*t),i.scale(t,t)},calcOffset:function(){return this._offset=t(this.lowerCanvasEl),this},setOverlayImage:function(t,e,i){return this.__setBgOverlayImage("overlayImage",t,e,i)},setBackgroundImage:function(t,e,i){return this.__setBgOverlayImage("backgroundImage",t,e,i)},setOverlayColor:function(t,e){return this.__setBgOverlayColor("overlayColor",t,e)},setBackgroundColor:function(t,e){return this.__setBgOverlayColor("backgroundColor",t,e)},__setBgOverlayImage:function(r,t,n,s){return"string"==typeof t?fabric.util.loadImage(t,function(t,e){if(t){var i=new fabric.Image(t,s);(this[r]=i).canvas=this}n&&n(t,e)},this,s&&s.crossOrigin):(s&&t.setOptions(s),(this[r]=t)&&(t.canvas=this),n&&n(t,!1)),this},__setBgOverlayColor:function(t,e,i){return this[t]=e,this._initGradient(e,t),this._initPattern(e,t,i),this},_createCanvasElement:function(){var t=r();if(!t)throw e;if(t.style||(t.style={}),void 0===t.getContext)throw e;return t},_initOptions:function(t){var e=this.lowerCanvasEl;this._setOptions(t),this.width=this.width||parseInt(e.width,10)||0,this.height=this.height||parseInt(e.height,10)||0,this.lowerCanvasEl.style&&(e.width=this.width,e.height=this.height,e.style.width=this.width+"px",e.style.height=this.height+"px",this.viewportTransform=this.viewportTransform.slice())},_createLowerCanvas:function(t){t&&t.getContext?this.lowerCanvasEl=t:this.lowerCanvasEl=fabric.util.getById(t)||this._createCanvasElement(),fabric.util.addClass(this.lowerCanvasEl,"lower-canvas"),this.interactive&&this._applyCanvasStyle(this.lowerCanvasEl),this.contextContainer=this.lowerCanvasEl.getContext("2d")},getWidth:function(){return this.width},getHeight:function(){return this.height},setWidth:function(t,e){return this.setDimensions({width:t},e)},setHeight:function(t,e){return this.setDimensions({height:t},e)},setDimensions:function(t,e){var i;for(var r in e=e||{},t)i=t[r],e.cssOnly||(this._setBackstoreDimension(r,t[r]),i+="px",this.hasLostContext=!0),e.backstoreOnly||this._setCssDimension(r,i);return this._isCurrentlyDrawing&&this.freeDrawingBrush&&this.freeDrawingBrush._setBrushStyles(),this._initRetinaScaling(),this.calcOffset(),e.cssOnly||this.requestRenderAll(),this},_setBackstoreDimension:function(t,e){return this.lowerCanvasEl[t]=e,this.upperCanvasEl&&(this.upperCanvasEl[t]=e),this.cacheCanvasEl&&(this.cacheCanvasEl[t]=e),this[t]=e,this},_setCssDimension:function(t,e){return this.lowerCanvasEl.style[t]=e,this.upperCanvasEl&&(this.upperCanvasEl.style[t]=e),this.wrapperEl&&(this.wrapperEl.style[t]=e),this},getZoom:function(){return this.viewportTransform[0]},setViewportTransform:function(t){var e,i,r,n=this._activeObject,s=this.backgroundImage,o=this.overlayImage;for(this.viewportTransform=t,i=0,r=this._objects.length;i<r;i++)(e=this._objects[i]).group||e.setCoords(!0);return n&&n.setCoords(),s&&s.setCoords(!0),o&&o.setCoords(!0),this.calcViewportBoundaries(),this.renderOnAddRemove&&this.requestRenderAll(),this},zoomToPoint:function(t,e){var i=t,r=this.viewportTransform.slice(0);t=s(t,o(this.viewportTransform)),r[0]=e,r[3]=e;var n=s(t,r);return r[4]+=i.x-n.x,r[5]+=i.y-n.y,this.setViewportTransform(r)},setZoom:function(t){return this.zoomToPoint(new fabric.Point(0,0),t),this},absolutePan:function(t){var e=this.viewportTransform.slice(0);return e[4]=-t.x,e[5]=-t.y,this.setViewportTransform(e)},relativePan:function(t){return this.absolutePan(new fabric.Point(-t.x-this.viewportTransform[4],-t.y-this.viewportTransform[5]))},getElement:function(){return this.lowerCanvasEl},_onObjectAdded:function(t){this.stateful&&t.setupState(),t._set("canvas",this),t.setCoords(),this.fire("object:added",{target:t}),t.fire("added")},_onObjectRemoved:function(t){this.fire("object:removed",{target:t}),t.fire("removed"),delete t.canvas},clearContext:function(t){return t.clearRect(0,0,this.width,this.height),this},getContext:function(){return this.contextContainer},clear:function(){return this._objects.length=0,this.backgroundImage=null,this.overlayImage=null,this.backgroundColor="",this.overlayColor="",this._hasITextHandlers&&(this.off("mouse:up",this._mouseUpITextHandler),this._iTextInstances=null,this._hasITextHandlers=!1),this.clearContext(this.contextContainer),this.fire("canvas:cleared"),this.renderOnAddRemove&&this.requestRenderAll(),this},renderAll:function(){var t=this.contextContainer;return this.renderCanvas(t,this._objects),this},renderAndReset:function(){this.isRendering=0,this.renderAll()},requestRenderAll:function(){return this.isRendering||(this.isRendering=fabric.util.requestAnimFrame(this.renderAndResetBound)),this},calcViewportBoundaries:function(){var t={},e=this.width,i=this.height,r=o(this.viewportTransform);return t.tl=s({x:0,y:0},r),t.br=s({x:e,y:i},r),t.tr=new fabric.Point(t.br.x,t.tl.y),t.bl=new fabric.Point(t.tl.x,t.br.y),this.vptCoords=t},cancelRequestedRender:function(){this.isRendering&&(fabric.util.cancelAnimFrame(this.isRendering),this.isRendering=0)},renderCanvas:function(t,e){var i=this.viewportTransform,r=this.clipPath;this.cancelRequestedRender(),this.calcViewportBoundaries(),this.clearContext(t),fabric.util.setImageSmoothing(t,this.imageSmoothingEnabled),this.fire("before:render",{ctx:t}),this._renderBackground(t),t.save(),t.transform(i[0],i[1],i[2],i[3],i[4],i[5]),this._renderObjects(t,e),t.restore(),!this.controlsAboveOverlay&&this.interactive&&this.drawControls(t),r&&(r.canvas=this,r.shouldCache(),r._transformDone=!0,r.renderCache({forClipping:!0}),this.drawClipPathOnCanvas(t)),this._renderOverlay(t),this.controlsAboveOverlay&&this.interactive&&this.drawControls(t),this.fire("after:render",{ctx:t})},drawClipPathOnCanvas:function(t){var e=this.viewportTransform,i=this.clipPath;t.save(),t.transform(e[0],e[1],e[2],e[3],e[4],e[5]),t.globalCompositeOperation="destination-in",i.transform(t),t.scale(1/i.zoomX,1/i.zoomY),t.drawImage(i._cacheCanvas,-i.cacheTranslationX,-i.cacheTranslationY),t.restore()},_renderObjects:function(t,e){var i,r;for(i=0,r=e.length;i<r;++i)e[i]&&e[i].render(t)},_renderBackgroundOrOverlay:function(t,e){var i=this[e+"Color"],r=this[e+"Image"],n=this.viewportTransform,s=this[e+"Vpt"];if(i||r){if(i){t.save(),t.beginPath(),t.moveTo(0,0),t.lineTo(this.width,0),t.lineTo(this.width,this.height),t.lineTo(0,this.height),t.closePath(),t.fillStyle=i.toLive?i.toLive(t,this):i,s&&t.transform(n[0],n[1],n[2],n[3],n[4],n[5]),t.transform(1,0,0,1,i.offsetX||0,i.offsetY||0);var o=i.gradientTransform||i.patternTransform;o&&t.transform(o[0],o[1],o[2],o[3],o[4],o[5]),t.fill(),t.restore()}r&&(t.save(),s&&t.transform(n[0],n[1],n[2],n[3],n[4],n[5]),r.render(t),t.restore())}},_renderBackground:function(t){this._renderBackgroundOrOverlay(t,"background")},_renderOverlay:function(t){this._renderBackgroundOrOverlay(t,"overlay")},getCenter:function(){return{top:this.height/2,left:this.width/2}},centerObjectH:function(t){return this._centerObject(t,new fabric.Point(this.getCenter().left,t.getCenterPoint().y))},centerObjectV:function(t){return this._centerObject(t,new fabric.Point(t.getCenterPoint().x,this.getCenter().top))},centerObject:function(t){var e=this.getCenter();return this._centerObject(t,new fabric.Point(e.left,e.top))},viewportCenterObject:function(t){var e=this.getVpCenter();return this._centerObject(t,e)},viewportCenterObjectH:function(t){var e=this.getVpCenter();return this._centerObject(t,new fabric.Point(e.x,t.getCenterPoint().y)),this},viewportCenterObjectV:function(t){var e=this.getVpCenter();return this._centerObject(t,new fabric.Point(t.getCenterPoint().x,e.y))},getVpCenter:function(){var t=this.getCenter(),e=o(this.viewportTransform);return s({x:t.left,y:t.top},e)},_centerObject:function(t,e){return t.setPositionByOrigin(e,"center","center"),t.setCoords(),this.renderOnAddRemove&&this.requestRenderAll(),this},toDatalessJSON:function(t){return this.toDatalessObject(t)},toObject:function(t){return this._toObjectMethod("toObject",t)},toDatalessObject:function(t){return this._toObjectMethod("toDatalessObject",t)},_toObjectMethod:function(t,e){var i=this.clipPath,r={version:fabric.version,objects:this._toObjects(t,e)};return i&&(r.clipPath=this._toObject(this.clipPath,t,e)),n(r,this.__serializeBgOverlay(t,e)),fabric.util.populateWithProperties(this,r,e),r},_toObjects:function(e,i){return this._objects.filter(function(t){return!t.excludeFromExport}).map(function(t){return this._toObject(t,e,i)},this)},_toObject:function(t,e,i){var r;this.includeDefaultValues||(r=t.includeDefaultValues,t.includeDefaultValues=!1);var n=t[e](i);return this.includeDefaultValues||(t.includeDefaultValues=r),n},__serializeBgOverlay:function(t,e){var i={},r=this.backgroundImage,n=this.overlayImage;return this.backgroundColor&&(i.background=this.backgroundColor.toObject?this.backgroundColor.toObject(e):this.backgroundColor),this.overlayColor&&(i.overlay=this.overlayColor.toObject?this.overlayColor.toObject(e):this.overlayColor),r&&!r.excludeFromExport&&(i.backgroundImage=this._toObject(r,t,e)),n&&!n.excludeFromExport&&(i.overlayImage=this._toObject(n,t,e)),i},svgViewportTransformation:!0,toSVG:function(t,e){t||(t={}),t.reviver=e;var i=[];return this._setSVGPreamble(i,t),this._setSVGHeader(i,t),this.clipPath&&i.push('<g clip-path="url(#'+this.clipPath.clipPathId+')" >\n'),this._setSVGBgOverlayColor(i,"background"),this._setSVGBgOverlayImage(i,"backgroundImage",e),this._setSVGObjects(i,e),this.clipPath&&i.push("</g>\n"),this._setSVGBgOverlayColor(i,"overlay"),this._setSVGBgOverlayImage(i,"overlayImage",e),i.push("</svg>"),i.join("")},_setSVGPreamble:function(t,e){e.suppressPreamble||t.push('<?xml version="1.0" encoding="',e.encoding||"UTF-8",'" standalone="no" ?>\n','<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" ','"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">\n')},_setSVGHeader:function(t,e){var i,r=e.width||this.width,n=e.height||this.height,s='viewBox="0 0 '+this.width+" "+this.height+'" ',o=fabric.Object.NUM_FRACTION_DIGITS;e.viewBox?s='viewBox="'+e.viewBox.x+" "+e.viewBox.y+" "+e.viewBox.width+" "+e.viewBox.height+'" ':this.svgViewportTransformation&&(i=this.viewportTransform,s='viewBox="'+a(-i[4]/i[0],o)+" "+a(-i[5]/i[3],o)+" "+a(this.width/i[0],o)+" "+a(this.height/i[3],o)+'" '),t.push("<svg ",'xmlns="http://www.w3.org/2000/svg" ','xmlns:xlink="http://www.w3.org/1999/xlink" ','version="1.1" ','width="',r,'" ','height="',n,'" ',s,'xml:space="preserve">\n',"<desc>Created with Fabric.js ",fabric.version,"</desc>\n","<defs>\n",this.createSVGFontFacesMarkup(),this.createSVGRefElementsMarkup(),this.createSVGClipPathMarkup(e),"</defs>\n")},createSVGClipPathMarkup:function(t){var e=this.clipPath;return e?(e.clipPathId="CLIPPATH_"+fabric.Object.__uid++,'<clipPath id="'+e.clipPathId+'" >\n'+this.clipPath.toClipPathSVG(t.reviver)+"</clipPath>\n"):""},createSVGRefElementsMarkup:function(){var s=this;return["background","overlay"].map(function(t){var e=s[t+"Color"];if(e&&e.toLive){var i=s[t+"Vpt"],r=s.viewportTransform,n={width:s.width/(i?r[0]:1),height:s.height/(i?r[3]:1)};return e.toSVG(n,{additionalTransform:i?fabric.util.matrixToSVG(r):""})}}).join("")},createSVGFontFacesMarkup:function(){var t,e,i,r,n,s,o,a,h="",c={},l=fabric.fontPaths,u=[];for(this._objects.forEach(function t(e){u.push(e),e._objects&&e._objects.forEach(t)}),o=0,a=u.length;o<a;o++)if(e=(t=u[o]).fontFamily,-1!==t.type.indexOf("text")&&!c[e]&&l[e]&&(c[e]=!0,t.styles))for(n in i=t.styles)for(s in r=i[n])!c[e=r[s].fontFamily]&&l[e]&&(c[e]=!0);for(var f in c)h+=["\t\t@font-face {\n","\t\t\tfont-family: '",f,"';\n","\t\t\tsrc: url('",l[f],"');\n","\t\t}\n"].join("");return h&&(h=['\t<style type="text/css">',"<![CDATA[\n",h,"]]>","</style>\n"].join("")),h},_setSVGObjects:function(t,e){var i,r,n,s=this._objects;for(r=0,n=s.length;r<n;r++)(i=s[r]).excludeFromExport||this._setSVGObject(t,i,e)},_setSVGObject:function(t,e,i){t.push(e.toSVG(i))},_setSVGBgOverlayImage:function(t,e,i){this[e]&&!this[e].excludeFromExport&&this[e].toSVG&&t.push(this[e].toSVG(i))},_setSVGBgOverlayColor:function(t,e){var i=this[e+"Color"],r=this.viewportTransform,n=this.width,s=this.height;if(i)if(i.toLive){var o=i.repeat,a=fabric.util.invertTransform(r),h=this[e+"Vpt"]?fabric.util.matrixToSVG(a):"";t.push('<rect transform="'+h+" translate(",n/2,",",s/2,')"',' x="',i.offsetX-n/2,'" y="',i.offsetY-s/2,'" ','width="',"repeat-y"===o||"no-repeat"===o?i.source.width:n,'" height="',"repeat-x"===o||"no-repeat"===o?i.source.height:s,'" fill="url(#SVGID_'+i.id+')"',"></rect>\n")}else t.push('<rect x="0" y="0" width="100%" height="100%" ','fill="',i,'"',"></rect>\n")},sendToBack:function(t){if(!t)return this;var e,i,r,n=this._activeObject;if(t===n&&"activeSelection"===t.type)for(e=(r=n._objects).length;e--;)i=r[e],c(this._objects,i),this._objects.unshift(i);else c(this._objects,t),this._objects.unshift(t);return this.renderOnAddRemove&&this.requestRenderAll(),this},bringToFront:function(t){if(!t)return this;var e,i,r,n=this._activeObject;if(t===n&&"activeSelection"===t.type)for(r=n._objects,e=0;e<r.length;e++)i=r[e],c(this._objects,i),this._objects.push(i);else c(this._objects,t),this._objects.push(t);return this.renderOnAddRemove&&this.requestRenderAll(),this},sendBackwards:function(t,e){if(!t)return this;var i,r,n,s,o,a=this._activeObject,h=0;if(t===a&&"activeSelection"===t.type)for(o=a._objects,i=0;i<o.length;i++)r=o[i],0+h<(n=this._objects.indexOf(r))&&(s=n-1,c(this._objects,r),this._objects.splice(s,0,r)),h++;else 0!==(n=this._objects.indexOf(t))&&(s=this._findNewLowerIndex(t,n,e),c(this._objects,t),this._objects.splice(s,0,t));return this.renderOnAddRemove&&this.requestRenderAll(),this},_findNewLowerIndex:function(t,e,i){var r,n;if(i)for(n=(r=e)-1;0<=n;--n){if(t.intersectsWithObject(this._objects[n])||t.isContainedWithinObject(this._objects[n])||this._objects[n].isContainedWithinObject(t)){r=n;break}}else r=e-1;return r},bringForward:function(t,e){if(!t)return this;var i,r,n,s,o,a=this._activeObject,h=0;if(t===a&&"activeSelection"===t.type)for(i=(o=a._objects).length;i--;)r=o[i],(n=this._objects.indexOf(r))<this._objects.length-1-h&&(s=n+1,c(this._objects,r),this._objects.splice(s,0,r)),h++;else(n=this._objects.indexOf(t))!==this._objects.length-1&&(s=this._findNewUpperIndex(t,n,e),c(this._objects,t),this._objects.splice(s,0,t));return this.renderOnAddRemove&&this.requestRenderAll(),this},_findNewUpperIndex:function(t,e,i){var r,n,s;if(i)for(n=(r=e)+1,s=this._objects.length;n<s;++n){if(t.intersectsWithObject(this._objects[n])||t.isContainedWithinObject(this._objects[n])||this._objects[n].isContainedWithinObject(t)){r=n;break}}else r=e+1;return r},moveTo:function(t,e){return c(this._objects,t),this._objects.splice(e,0,t),this.renderOnAddRemove&&this.requestRenderAll()},dispose:function(){return this.isRendering&&(fabric.util.cancelAnimFrame(this.isRendering),this.isRendering=0),this.forEachObject(function(t){t.dispose&&t.dispose()}),this._objects=[],this.backgroundImage&&this.backgroundImage.dispose&&this.backgroundImage.dispose(),this.backgroundImage=null,this.overlayImage&&this.overlayImage.dispose&&this.overlayImage.dispose(),this.overlayImage=null,this._iTextInstances=null,this.contextContainer=null,fabric.util.cleanUpJsdomNode(this.lowerCanvasEl),this.lowerCanvasEl=void 0,this},toString:function(){return"#<fabric.Canvas ("+this.complexity()+"): { objects: "+this._objects.length+" }>"}}),n(fabric.StaticCanvas.prototype,fabric.Observable),n(fabric.StaticCanvas.prototype,fabric.Collection),n(fabric.StaticCanvas.prototype,fabric.DataURLExporter),n(fabric.StaticCanvas,{EMPTY_JSON:'{"objects": [], "background": "white"}',supports:function(t){var e=r();if(!e||!e.getContext)return null;var i=e.getContext("2d");if(!i)return null;switch(t){case"setLineDash":return void 0!==i.setLineDash;default:return null}}}),fabric.StaticCanvas.prototype.toJSON=fabric.StaticCanvas.prototype.toObject,fabric.isLikelyNode&&(fabric.StaticCanvas.prototype.createPNGStream=function(){var t=i(this.lowerCanvasEl);return t&&t.createPNGStream()},fabric.StaticCanvas.prototype.createJPEGStream=function(t){var e=i(this.lowerCanvasEl);return e&&e.createJPEGStream(t)})}}(),fabric.BaseBrush=fabric.util.createClass({color:"rgb(0, 0, 0)",width:1,shadow:null,strokeLineCap:"round",strokeLineJoin:"round",strokeMiterLimit:10,strokeDashArray:null,_setBrushStyles:function(){var t=this.canvas.contextTop;t.strokeStyle=this.color,t.lineWidth=this.width,t.lineCap=this.strokeLineCap,t.miterLimit=this.strokeMiterLimit,t.lineJoin=this.strokeLineJoin,fabric.StaticCanvas.supports("setLineDash")&&t.setLineDash(this.strokeDashArray||[])},_saveAndTransform:function(t){var e=this.canvas.viewportTransform;t.save(),t.transform(e[0],e[1],e[2],e[3],e[4],e[5])},_setShadow:function(){if(this.shadow){var t=this.canvas,e=this.shadow,i=t.contextTop,r=t.getZoom();t&&t._isRetinaScaling()&&(r*=fabric.devicePixelRatio),i.shadowColor=e.color,i.shadowBlur=e.blur*r,i.shadowOffsetX=e.offsetX*r,i.shadowOffsetY=e.offsetY*r}},needsFullRender:function(){return new fabric.Color(this.color).getAlpha()<1||!!this.shadow},_resetShadow:function(){var t=this.canvas.contextTop;t.shadowColor="",t.shadowBlur=t.shadowOffsetX=t.shadowOffsetY=0}}),fabric.PencilBrush=fabric.util.createClass(fabric.BaseBrush,{decimate:.4,initialize:function(t){this.canvas=t,this._points=[]},_drawSegment:function(t,e,i){var r=e.midPointFrom(i);return t.quadraticCurveTo(e.x,e.y,r.x,r.y),r},onMouseDown:function(t,e){this.canvas._isMainEvent(e.e)&&(this._prepareForDrawing(t),this._captureDrawingPath(t),this._render())},onMouseMove:function(t,e){if(this.canvas._isMainEvent(e.e)&&this._captureDrawingPath(t)&&1<this._points.length)if(this.needsFullRender())this.canvas.clearContext(this.canvas.contextTop),this._render();else{var i=this._points,r=i.length,n=this.canvas.contextTop;this._saveAndTransform(n),this.oldEnd&&(n.beginPath(),n.moveTo(this.oldEnd.x,this.oldEnd.y)),this.oldEnd=this._drawSegment(n,i[r-2],i[r-1],!0),n.stroke(),n.restore()}},onMouseUp:function(t){return!this.canvas._isMainEvent(t.e)||(this.oldEnd=void 0,this._finalizeAndAddPath(),!1)},_prepareForDrawing:function(t){var e=new fabric.Point(t.x,t.y);this._reset(),this._addPoint(e),this.canvas.contextTop.moveTo(e.x,e.y)},_addPoint:function(t){return!(1<this._points.length&&t.eq(this._points[this._points.length-1])||(this._points.push(t),0))},_reset:function(){this._points=[],this._setBrushStyles(),this._setShadow()},_captureDrawingPath:function(t){var e=new fabric.Point(t.x,t.y);return this._addPoint(e)},_render:function(){var t,e,i=this.canvas.contextTop,r=this._points[0],n=this._points[1];if(this._saveAndTransform(i),i.beginPath(),2===this._points.length&&r.x===n.x&&r.y===n.y){var s=this.width/1e3;r=new fabric.Point(r.x,r.y),n=new fabric.Point(n.x,n.y),r.x-=s,n.x+=s}for(i.moveTo(r.x,r.y),t=1,e=this._points.length;t<e;t++)this._drawSegment(i,r,n),r=this._points[t],n=this._points[t+1];i.lineTo(r.x,r.y),i.stroke(),i.restore()},convertPointsToSVGPath:function(t){var e,i=[],r=this.width/1e3,n=new fabric.Point(t[0].x,t[0].y),s=new fabric.Point(t[1].x,t[1].y),o=t.length,a=1,h=0,c=2<o;for(c&&(a=t[2].x<s.x?-1:t[2].x===s.x?0:1,h=t[2].y<s.y?-1:t[2].y===s.y?0:1),i.push("M ",n.x-a*r," ",n.y-h*r," "),e=1;e<o;e++){if(!n.eq(s)){var l=n.midPointFrom(s);i.push("Q ",n.x," ",n.y," ",l.x," ",l.y," ")}n=t[e],e+1<t.length&&(s=t[e+1])}return c&&(a=n.x>t[e-2].x?1:n.x===t[e-2].x?0:-1,h=n.y>t[e-2].y?1:n.y===t[e-2].y?0:-1),i.push("L ",n.x+a*r," ",n.y+h*r),i},createPath:function(t){var e=new fabric.Path(t,{fill:null,stroke:this.color,strokeWidth:this.width,strokeLineCap:this.strokeLineCap,strokeMiterLimit:this.strokeMiterLimit,strokeLineJoin:this.strokeLineJoin,strokeDashArray:this.strokeDashArray});return this.shadow&&(this.shadow.affectStroke=!0,e.shadow=new fabric.Shadow(this.shadow)),e},decimatePoints:function(t,e){if(t.length<=2)return t;var i,r=this.canvas.getZoom(),n=Math.pow(e/r,2),s=t.length-1,o=t[0],a=[o];for(i=1;i<s;i++)n<=Math.pow(o.x-t[i].x,2)+Math.pow(o.y-t[i].y,2)&&(o=t[i],a.push(o));return 1===a.length&&a.push(new fabric.Point(a[0].x,a[0].y)),a},_finalizeAndAddPath:function(){this.canvas.contextTop.closePath(),this.decimate&&(this._points=this.decimatePoints(this._points,this.decimate));var t=this.convertPointsToSVGPath(this._points).join("");if("M 0 0 Q 0 0 0 0 L 0 0"!==t){var e=this.createPath(t);this.canvas.clearContext(this.canvas.contextTop),this.canvas.fire("before:path:created",{path:e}),this.canvas.add(e),this.canvas.requestRenderAll(),e.setCoords(),this._resetShadow(),this.canvas.fire("path:created",{path:e})}else this.canvas.requestRenderAll()}}),fabric.CircleBrush=fabric.util.createClass(fabric.BaseBrush,{width:10,initialize:function(t){this.canvas=t,this.points=[]},drawDot:function(t){var e=this.addPoint(t),i=this.canvas.contextTop;this._saveAndTransform(i),this.dot(i,e),i.restore()},dot:function(t,e){t.fillStyle=e.fill,t.beginPath(),t.arc(e.x,e.y,e.radius,0,2*Math.PI,!1),t.closePath(),t.fill()},onMouseDown:function(t){this.points.length=0,this.canvas.clearContext(this.canvas.contextTop),this._setShadow(),this.drawDot(t)},_render:function(){var t,e,i=this.canvas.contextTop,r=this.points;for(this._saveAndTransform(i),t=0,e=r.length;t<e;t++)this.dot(i,r[t]);i.restore()},onMouseMove:function(t){this.needsFullRender()?(this.canvas.clearContext(this.canvas.contextTop),this.addPoint(t),this._render()):this.drawDot(t)},onMouseUp:function(){var t,e,i=this.canvas.renderOnAddRemove;this.canvas.renderOnAddRemove=!1;var r=[];for(t=0,e=this.points.length;t<e;t++){var n=this.points[t],s=new fabric.Circle({radius:n.radius,left:n.x,top:n.y,originX:"center",originY:"center",fill:n.fill});this.shadow&&(s.shadow=new fabric.Shadow(this.shadow)),r.push(s)}var o=new fabric.Group(r);o.canvas=this.canvas,this.canvas.fire("before:path:created",{path:o}),this.canvas.add(o),this.canvas.fire("path:created",{path:o}),this.canvas.clearContext(this.canvas.contextTop),this._resetShadow(),this.canvas.renderOnAddRemove=i,this.canvas.requestRenderAll()},addPoint:function(t){var e=new fabric.Point(t.x,t.y),i=fabric.util.getRandomInt(Math.max(0,this.width-20),this.width+20)/2,r=new fabric.Color(this.color).setAlpha(fabric.util.getRandomInt(0,100)/100).toRgba();return e.radius=i,e.fill=r,this.points.push(e),e}}),fabric.SprayBrush=fabric.util.createClass(fabric.BaseBrush,{width:10,density:20,dotWidth:1,dotWidthVariance:1,randomOpacity:!1,optimizeOverlapping:!0,initialize:function(t){this.canvas=t,this.sprayChunks=[]},onMouseDown:function(t){this.sprayChunks.length=0,this.canvas.clearContext(this.canvas.contextTop),this._setShadow(),this.addSprayChunk(t),this.render(this.sprayChunkPoints)},onMouseMove:function(t){this.addSprayChunk(t),this.render(this.sprayChunkPoints)},onMouseUp:function(){var t=this.canvas.renderOnAddRemove;this.canvas.renderOnAddRemove=!1;for(var e=[],i=0,r=this.sprayChunks.length;i<r;i++)for(var n=this.sprayChunks[i],s=0,o=n.length;s<o;s++){var a=new fabric.Rect({width:n[s].width,height:n[s].width,left:n[s].x+1,top:n[s].y+1,originX:"center",originY:"center",fill:this.color});e.push(a)}this.optimizeOverlapping&&(e=this._getOptimizedRects(e));var h=new fabric.Group(e);this.shadow&&h.set("shadow",new fabric.Shadow(this.shadow)),this.canvas.fire("before:path:created",{path:h}),this.canvas.add(h),this.canvas.fire("path:created",{path:h}),this.canvas.clearContext(this.canvas.contextTop),this._resetShadow(),this.canvas.renderOnAddRemove=t,this.canvas.requestRenderAll()},_getOptimizedRects:function(t){var e,i,r,n={};for(i=0,r=t.length;i<r;i++)n[e=t[i].left+""+t[i].top]||(n[e]=t[i]);var s=[];for(e in n)s.push(n[e]);return s},render:function(t){var e,i,r=this.canvas.contextTop;for(r.fillStyle=this.color,this._saveAndTransform(r),e=0,i=t.length;e<i;e++){var n=t[e];void 0!==n.opacity&&(r.globalAlpha=n.opacity),r.fillRect(n.x,n.y,n.width,n.width)}r.restore()},_render:function(){var t,e,i=this.canvas.contextTop;for(i.fillStyle=this.color,this._saveAndTransform(i),t=0,e=this.sprayChunks.length;t<e;t++)this.render(this.sprayChunks[t]);i.restore()},addSprayChunk:function(t){this.sprayChunkPoints=[];var e,i,r,n,s=this.width/2;for(n=0;n<this.density;n++){e=fabric.util.getRandomInt(t.x-s,t.x+s),i=fabric.util.getRandomInt(t.y-s,t.y+s),r=this.dotWidthVariance?fabric.util.getRandomInt(Math.max(1,this.dotWidth-this.dotWidthVariance),this.dotWidth+this.dotWidthVariance):this.dotWidth;var o=new fabric.Point(e,i);o.width=r,this.randomOpacity&&(o.opacity=fabric.util.getRandomInt(0,100)/100),this.sprayChunkPoints.push(o)}this.sprayChunks.push(this.sprayChunkPoints)}}),fabric.PatternBrush=fabric.util.createClass(fabric.PencilBrush,{getPatternSrc:function(){var t=fabric.util.createCanvasElement(),e=t.getContext("2d");return t.width=t.height=25,e.fillStyle=this.color,e.beginPath(),e.arc(10,10,10,0,2*Math.PI,!1),e.closePath(),e.fill(),t},getPatternSrcFunction:function(){return String(this.getPatternSrc).replace("this.color",'"'+this.color+'"')},getPattern:function(){return this.canvas.contextTop.createPattern(this.source||this.getPatternSrc(),"repeat")},_setBrushStyles:function(){this.callSuper("_setBrushStyles"),this.canvas.contextTop.strokeStyle=this.getPattern()},createPath:function(t){var e=this.callSuper("createPath",t),i=e._getLeftTopCoords().scalarAdd(e.strokeWidth/2);return e.stroke=new fabric.Pattern({source:this.source||this.getPatternSrcFunction(),offsetX:-i.x,offsetY:-i.y}),e}}),function(){var c=fabric.util.getPointer,u=fabric.util.degreesToRadians,h=Math.abs,l=fabric.StaticCanvas.supports("setLineDash"),f=fabric.util.isTouchEvent;for(var t in fabric.Canvas=fabric.util.createClass(fabric.StaticCanvas,{initialize:function(t,e){e||(e={}),this.renderAndResetBound=this.renderAndReset.bind(this),this.requestRenderAllBound=this.requestRenderAll.bind(this),this._initStatic(t,e),this._initInteractive(),this._createCacheCanvas()},uniformScaling:!0,uniScaleKey:"shiftKey",centeredScaling:!1,centeredRotation:!1,centeredKey:"altKey",altActionKey:"shiftKey",interactive:!0,selection:!0,selectionKey:"shiftKey",altSelectionKey:null,selectionColor:"rgba(100, 100, 255, 0.3)",selectionDashArray:[],selectionBorderColor:"rgba(255, 255, 255, 0.3)",selectionLineWidth:1,selectionFullyContained:!1,hoverCursor:"move",moveCursor:"move",defaultCursor:"default",freeDrawingCursor:"crosshair",rotationCursor:"crosshair",notAllowedCursor:"not-allowed",containerClass:"canvas-container",perPixelTargetFind:!1,targetFindTolerance:0,skipTargetFind:!1,isDrawingMode:!1,preserveObjectStacking:!1,snapAngle:0,snapThreshold:null,stopContextMenu:!1,fireRightClick:!1,fireMiddleClick:!1,targets:[],_hoveredTarget:null,_hoveredTargets:[],_initInteractive:function(){this._currentTransform=null,this._groupSelector=null,this._initWrapperElement(),this._createUpperCanvas(),this._initEventListeners(),this._initRetinaScaling(),this.freeDrawingBrush=fabric.PencilBrush&&new fabric.PencilBrush(this),this.calcOffset()},_chooseObjectsToRender:function(){var t,e,i,r=this.getActiveObjects();if(0<r.length&&!this.preserveObjectStacking){e=[],i=[];for(var n=0,s=this._objects.length;n<s;n++)t=this._objects[n],-1===r.indexOf(t)?e.push(t):i.push(t);1<r.length&&(this._activeObject._objects=i),e.push.apply(e,i)}else e=this._objects;return e},renderAll:function(){!this.contextTopDirty||this._groupSelector||this.isDrawingMode||(this.clearContext(this.contextTop),this.contextTopDirty=!1),this.hasLostContext&&this.renderTopLayer(this.contextTop);var t=this.contextContainer;return this.renderCanvas(t,this._chooseObjectsToRender()),this},renderTopLayer:function(t){t.save(),this.isDrawingMode&&this._isCurrentlyDrawing&&(this.freeDrawingBrush&&this.freeDrawingBrush._render(),this.contextTopDirty=!0),this.selection&&this._groupSelector&&(this._drawSelection(t),this.contextTopDirty=!0),t.restore()},renderTop:function(){var t=this.contextTop;return this.clearContext(t),this.renderTopLayer(t),this.fire("after:render"),this},_normalizePointer:function(t,e){var i=t.calcTransformMatrix(),r=fabric.util.invertTransform(i),n=this.restorePointerVpt(e);return fabric.util.transformPoint(n,r)},isTargetTransparent:function(t,e,i){if(t.shouldCache()&&t._cacheCanvas&&t!==this._activeObject){var r=this._normalizePointer(t,{x:e,y:i}),n=Math.max(t.cacheTranslationX+r.x*t.zoomX,0),s=Math.max(t.cacheTranslationY+r.y*t.zoomY,0);return fabric.util.isTransparent(t._cacheContext,Math.round(n),Math.round(s),this.targetFindTolerance)}var o=this.contextCache,a=t.selectionBackgroundColor,h=this.viewportTransform;return t.selectionBackgroundColor="",this.clearContext(o),o.save(),o.transform(h[0],h[1],h[2],h[3],h[4],h[5]),t.render(o),o.restore(),t===this._activeObject&&t._renderControls(o,{hasBorders:!1,transparentCorners:!1},{hasBorders:!1}),t.selectionBackgroundColor=a,fabric.util.isTransparent(o,e,i,this.targetFindTolerance)},_isSelectionKeyPressed:function(e){return"[object Array]"===Object.prototype.toString.call(this.selectionKey)?!!this.selectionKey.find(function(t){return!0===e[t]}):e[this.selectionKey]},_shouldClearSelection:function(t,e){var i=this.getActiveObjects(),r=this._activeObject;return!e||e&&r&&1<i.length&&-1===i.indexOf(e)&&r!==e&&!this._isSelectionKeyPressed(t)||e&&!e.evented||e&&!e.selectable&&r&&r!==e},_shouldCenterTransform:function(t,e,i){var r;if(t)return"scale"===e||"scaleX"===e||"scaleY"===e||"resizing"===e?r=this.centeredScaling||t.centeredScaling:"rotate"===e&&(r=this.centeredRotation||t.centeredRotation),r?!i:i},_getOriginFromCorner:function(t,e){var i={x:t.originX,y:t.originY};return"ml"===e||"tl"===e||"bl"===e?i.x="right":"mr"!==e&&"tr"!==e&&"br"!==e||(i.x="left"),"tl"===e||"mt"===e||"tr"===e?i.y="bottom":"bl"!==e&&"mb"!==e&&"br"!==e||(i.y="top"),i},_getActionFromCorner:function(t,e,i,r){if(!e||!t)return"drag";var n=r.controls[e];return n.getActionName(i,n,r)},_setupCurrentTransform:function(t,e,i){if(e){var r=this.getPointer(t),n=e.__corner,s=e.controls[n],o=i&&n?s.getActionHandler(t,e,s):fabric.controlsUtils.dragHandler,a=this._getActionFromCorner(i,n,t,e),h=this._getOriginFromCorner(e,n),c=t[this.centeredKey],l={target:e,action:a,actionHandler:o,corner:n,scaleX:e.scaleX,scaleY:e.scaleY,skewX:e.skewX,skewY:e.skewY,offsetX:r.x-e.left,offsetY:r.y-e.top,originX:h.x,originY:h.y,ex:r.x,ey:r.y,lastX:r.x,lastY:r.y,theta:u(e.angle),width:e.width*e.scaleX,shiftKey:t.shiftKey,altKey:c,original:fabric.util.saveObjectTransform(e)};this._shouldCenterTransform(e,a,c)&&(l.originX="center",l.originY="center"),l.original.originX=h.x,l.original.originY=h.y,this._currentTransform=l,this._beforeTransform(t)}},setCursor:function(t){this.upperCanvasEl.style.cursor=t},_drawSelection:function(t){var e=this._groupSelector,i=e.left,r=e.top,n=h(i),s=h(r);if(this.selectionColor&&(t.fillStyle=this.selectionColor,t.fillRect(e.ex-(0<i?0:-i),e.ey-(0<r?0:-r),n,s)),this.selectionLineWidth&&this.selectionBorderColor)if(t.lineWidth=this.selectionLineWidth,t.strokeStyle=this.selectionBorderColor,1<this.selectionDashArray.length&&!l){var o=e.ex+.5-(0<i?0:n),a=e.ey+.5-(0<r?0:s);t.beginPath(),fabric.util.drawDashedLine(t,o,a,o+n,a,this.selectionDashArray),fabric.util.drawDashedLine(t,o,a+s-1,o+n,a+s-1,this.selectionDashArray),fabric.util.drawDashedLine(t,o,a,o,a+s,this.selectionDashArray),fabric.util.drawDashedLine(t,o+n-1,a,o+n-1,a+s,this.selectionDashArray),t.closePath(),t.stroke()}else fabric.Object.prototype._setLineDash.call(this,t,this.selectionDashArray),t.strokeRect(e.ex+.5-(0<i?0:n),e.ey+.5-(0<r?0:s),n,s)},findTarget:function(t,e){if(!this.skipTargetFind){var i,r,n=this.getPointer(t,!0),s=this._activeObject,o=this.getActiveObjects(),a=f(t);if(this.targets=[],1<o.length&&!e&&s===this._searchPossibleTargets([s],n))return s;if(1===o.length&&s._findTargetCorner(n,a))return s;if(1===o.length&&s===this._searchPossibleTargets([s],n)){if(!this.preserveObjectStacking)return s;i=s,r=this.targets,this.targets=[]}var h=this._searchPossibleTargets(this._objects,n);return t[this.altSelectionKey]&&h&&i&&h!==i&&(h=i,this.targets=r),h}},_checkTarget:function(t,e,i){if(e&&e.visible&&e.evented&&(e.containsPoint(t)||e._findTargetCorner(t))){if(!this.perPixelTargetFind&&!e.perPixelTargetFind||e.isEditing)return!0;if(!this.isTargetTransparent(e,i.x,i.y))return!0}},_searchPossibleTargets:function(t,e){for(var i,r,n=t.length;n--;){var s=t[n],o=s.group?this._normalizePointer(s.group,e):e;if(this._checkTarget(o,s,e)){(i=t[n]).subTargetCheck&&i instanceof fabric.Group&&(r=this._searchPossibleTargets(i._objects,e))&&this.targets.push(r);break}}return i},restorePointerVpt:function(t){return fabric.util.transformPoint(t,fabric.util.invertTransform(this.viewportTransform))},getPointer:function(t,e){if(this._absolutePointer&&!e)return this._absolutePointer;if(this._pointer&&e)return this._pointer;var i,r=c(t),n=this.upperCanvasEl,s=n.getBoundingClientRect(),o=s.width||0,a=s.height||0;o&&a||("top"in s&&"bottom"in s&&(a=Math.abs(s.top-s.bottom)),"right"in s&&"left"in s&&(o=Math.abs(s.right-s.left))),this.calcOffset(),r.x=r.x-this._offset.left,r.y=r.y-this._offset.top,e||(r=this.restorePointerVpt(r));var h=this.getRetinaScaling();return 1!==h&&(r.x/=h,r.y/=h),i=0===o||0===a?{width:1,height:1}:{width:n.width/o,height:n.height/a},{x:r.x*i.width,y:r.y*i.height}},_createUpperCanvas:function(){var t=this.lowerCanvasEl.className.replace(/\s*lower-canvas\s*/,""),e=this.lowerCanvasEl,i=this.upperCanvasEl;i?i.className="":(i=this._createCanvasElement(),this.upperCanvasEl=i),fabric.util.addClass(i,"upper-canvas "+t),this.wrapperEl.appendChild(i),this._copyCanvasStyle(e,i),this._applyCanvasStyle(i),this.contextTop=i.getContext("2d")},_createCacheCanvas:function(){this.cacheCanvasEl=this._createCanvasElement(),this.cacheCanvasEl.setAttribute("width",this.width),this.cacheCanvasEl.setAttribute("height",this.height),this.contextCache=this.cacheCanvasEl.getContext("2d")},_initWrapperElement:function(){this.wrapperEl=fabric.util.wrapElement(this.lowerCanvasEl,"div",{class:this.containerClass}),fabric.util.setStyle(this.wrapperEl,{width:this.width+"px",height:this.height+"px",position:"relative"}),fabric.util.makeElementUnselectable(this.wrapperEl)},_applyCanvasStyle:function(t){var e=this.width||t.width,i=this.height||t.height;fabric.util.setStyle(t,{position:"absolute",width:e+"px",height:i+"px",left:0,top:0,"touch-action":this.allowTouchScrolling?"manipulation":"none","-ms-touch-action":this.allowTouchScrolling?"manipulation":"none"}),t.width=e,t.height=i,fabric.util.makeElementUnselectable(t)},_copyCanvasStyle:function(t,e){e.style.cssText=t.style.cssText},getSelectionContext:function(){return this.contextTop},getSelectionElement:function(){return this.upperCanvasEl},getActiveObject:function(){return this._activeObject},getActiveObjects:function(){var t=this._activeObject;return t?"activeSelection"===t.type&&t._objects?t._objects.slice(0):[t]:[]},_onObjectRemoved:function(t){t===this._activeObject&&(this.fire("before:selection:cleared",{target:t}),this._discardActiveObject(),this.fire("selection:cleared",{target:t}),t.fire("deselected")),t===this._hoveredTarget&&(this._hoveredTarget=null,this._hoveredTargets=[]),this.callSuper("_onObjectRemoved",t)},_fireSelectionEvents:function(e,t){var i=!1,r=this.getActiveObjects(),n=[],s=[],o={e:t};e.forEach(function(t){-1===r.indexOf(t)&&(i=!0,t.fire("deselected",o),s.push(t))}),r.forEach(function(t){-1===e.indexOf(t)&&(i=!0,t.fire("selected",o),n.push(t))}),0<e.length&&0<r.length?(o.selected=n,o.deselected=s,o.updated=n[0]||s[0],o.target=this._activeObject,i&&this.fire("selection:updated",o)):0<r.length?(o.selected=n,o.target=this._activeObject,this.fire("selection:created",o)):0<e.length&&(o.deselected=s,this.fire("selection:cleared",o))},setActiveObject:function(t,e){var i=this.getActiveObjects();return this._setActiveObject(t,e),this._fireSelectionEvents(i,e),this},_setActiveObject:function(t,e){return this._activeObject!==t&&(!!this._discardActiveObject(e,t)&&(!t.onSelect({e:e})&&(this._activeObject=t,!0)))},_discardActiveObject:function(t,e){var i=this._activeObject;if(i){if(i.onDeselect({e:t,object:e}))return!1;this._activeObject=null}return!0},discardActiveObject:function(t){var e=this.getActiveObjects(),i=this.getActiveObject();return e.length&&this.fire("before:selection:cleared",{target:i,e:t}),this._discardActiveObject(t),this._fireSelectionEvents(e,t),this},dispose:function(){var t=this.wrapperEl;return this.removeListeners(),t.removeChild(this.upperCanvasEl),t.removeChild(this.lowerCanvasEl),this.contextCache=null,this.contextTop=null,["upperCanvasEl","cacheCanvasEl"].forEach(function(t){fabric.util.cleanUpJsdomNode(this[t]),this[t]=void 0}.bind(this)),t.parentNode&&t.parentNode.replaceChild(this.lowerCanvasEl,this.wrapperEl),delete this.wrapperEl,fabric.StaticCanvas.prototype.dispose.call(this),this},clear:function(){return this.discardActiveObject(),this.clearContext(this.contextTop),this.callSuper("clear")},drawControls:function(t){var e=this._activeObject;e&&e._renderControls(t)},_toObject:function(t,e,i){var r=this._realizeGroupTransformOnObject(t),n=this.callSuper("_toObject",t,e,i);return this._unwindGroupTransformOnObject(t,r),n},_realizeGroupTransformOnObject:function(e){if(e.group&&"activeSelection"===e.group.type&&this._activeObject===e.group){var i={};return["angle","flipX","flipY","left","scaleX","scaleY","skewX","skewY","top"].forEach(function(t){i[t]=e[t]}),this._activeObject.realizeTransform(e),i}return null},_unwindGroupTransformOnObject:function(t,e){e&&t.set(e)},_setSVGObject:function(t,e,i){var r=this._realizeGroupTransformOnObject(e);this.callSuper("_setSVGObject",t,e,i),this._unwindGroupTransformOnObject(e,r)},setViewportTransform:function(t){this.renderOnAddRemove&&this._activeObject&&this._activeObject.isEditing&&this._activeObject.clearContextTop(),fabric.StaticCanvas.prototype.setViewportTransform.call(this,t)}}),fabric.StaticCanvas)"prototype"!==t&&(fabric.Canvas[t]=fabric.StaticCanvas[t])}(),function(){var r=fabric.util.addListener,n=fabric.util.removeListener,s={passive:!1};function u(t,e){return t.button&&t.button===e-1}fabric.util.object.extend(fabric.Canvas.prototype,{mainTouchId:null,_initEventListeners:function(){this.removeListeners(),this._bindEvents(),this.addOrRemove(r,"add")},_getEventPrefix:function(){return this.enablePointerEvents?"pointer":"mouse"},addOrRemove:function(t,e){var i=this.upperCanvasEl,r=this._getEventPrefix();t(fabric.window,"resize",this._onResize),t(i,r+"down",this._onMouseDown),t(i,r+"move",this._onMouseMove,s),t(i,r+"out",this._onMouseOut),t(i,r+"enter",this._onMouseEnter),t(i,"wheel",this._onMouseWheel),t(i,"contextmenu",this._onContextMenu),t(i,"dblclick",this._onDoubleClick),t(i,"dragover",this._onDragOver),t(i,"dragenter",this._onDragEnter),t(i,"dragleave",this._onDragLeave),t(i,"drop",this._onDrop),this.enablePointerEvents||t(i,"touchstart",this._onTouchStart,s),"undefined"!=typeof eventjs&&e in eventjs&&(eventjs[e](i,"gesture",this._onGesture),eventjs[e](i,"drag",this._onDrag),eventjs[e](i,"orientation",this._onOrientationChange),eventjs[e](i,"shake",this._onShake),eventjs[e](i,"longpress",this._onLongPress))},removeListeners:function(){this.addOrRemove(n,"remove");var t=this._getEventPrefix();n(fabric.document,t+"up",this._onMouseUp),n(fabric.document,"touchend",this._onTouchEnd,s),n(fabric.document,t+"move",this._onMouseMove,s),n(fabric.document,"touchmove",this._onMouseMove,s)},_bindEvents:function(){this.eventsBound||(this._onMouseDown=this._onMouseDown.bind(this),this._onTouchStart=this._onTouchStart.bind(this),this._onMouseMove=this._onMouseMove.bind(this),this._onMouseUp=this._onMouseUp.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onResize=this._onResize.bind(this),this._onGesture=this._onGesture.bind(this),this._onDrag=this._onDrag.bind(this),this._onShake=this._onShake.bind(this),this._onLongPress=this._onLongPress.bind(this),this._onOrientationChange=this._onOrientationChange.bind(this),this._onMouseWheel=this._onMouseWheel.bind(this),this._onMouseOut=this._onMouseOut.bind(this),this._onMouseEnter=this._onMouseEnter.bind(this),this._onContextMenu=this._onContextMenu.bind(this),this._onDoubleClick=this._onDoubleClick.bind(this),this._onDragOver=this._onDragOver.bind(this),this._onDragEnter=this._simpleEventHandler.bind(this,"dragenter"),this._onDragLeave=this._simpleEventHandler.bind(this,"dragleave"),this._onDrop=this._simpleEventHandler.bind(this,"drop"),this.eventsBound=!0)},_onGesture:function(t,e){this.__onTransformGesture&&this.__onTransformGesture(t,e)},_onDrag:function(t,e){this.__onDrag&&this.__onDrag(t,e)},_onMouseWheel:function(t){this.__onMouseWheel(t)},_onMouseOut:function(e){var i=this._hoveredTarget;this.fire("mouse:out",{target:i,e:e}),this._hoveredTarget=null,i&&i.fire("mouseout",{e:e});var r=this;this._hoveredTargets.forEach(function(t){r.fire("mouse:out",{target:i,e:e}),t&&i.fire("mouseout",{e:e})}),this._hoveredTargets=[],this._iTextInstances&&this._iTextInstances.forEach(function(t){t.isEditing&&t.hiddenTextarea.focus()})},_onMouseEnter:function(t){this._currentTransform||this.findTarget(t)||(this.fire("mouse:over",{target:null,e:t}),this._hoveredTarget=null,this._hoveredTargets=[])},_onOrientationChange:function(t,e){this.__onOrientationChange&&this.__onOrientationChange(t,e)},_onShake:function(t,e){this.__onShake&&this.__onShake(t,e)},_onLongPress:function(t,e){this.__onLongPress&&this.__onLongPress(t,e)},_onDragOver:function(t){t.preventDefault();var e=this._simpleEventHandler("dragover",t);this._fireEnterLeaveEvents(e,t)},_onContextMenu:function(t){return this.stopContextMenu&&(t.stopPropagation(),t.preventDefault()),!1},_onDoubleClick:function(t){this._cacheTransformEventData(t),this._handleEvent(t,"dblclick"),this._resetTransformEventData(t)},getPointerId:function(t){var e=t.changedTouches;return e?e[0]&&e[0].identifier:this.enablePointerEvents?t.pointerId:-1},_isMainEvent:function(t){return!0===t.isPrimary||!1!==t.isPrimary&&("touchend"===t.type&&0===t.touches.length||(!t.changedTouches||t.changedTouches[0].identifier===this.mainTouchId))},_onTouchStart:function(t){t.preventDefault(),null===this.mainTouchId&&(this.mainTouchId=this.getPointerId(t)),this.__onMouseDown(t),this._resetTransformEventData();var e=this.upperCanvasEl,i=this._getEventPrefix();r(fabric.document,"touchend",this._onTouchEnd,s),r(fabric.document,"touchmove",this._onMouseMove,s),n(e,i+"down",this._onMouseDown)},_onMouseDown:function(t){this.__onMouseDown(t),this._resetTransformEventData();var e=this.upperCanvasEl,i=this._getEventPrefix();n(e,i+"move",this._onMouseMove,s),r(fabric.document,i+"up",this._onMouseUp),r(fabric.document,i+"move",this._onMouseMove,s)},_onTouchEnd:function(t){if(!(0<t.touches.length)){this.__onMouseUp(t),this._resetTransformEventData(),this.mainTouchId=null;var e=this._getEventPrefix();n(fabric.document,"touchend",this._onTouchEnd,s),n(fabric.document,"touchmove",this._onMouseMove,s);var i=this;this._willAddMouseDown&&clearTimeout(this._willAddMouseDown),this._willAddMouseDown=setTimeout(function(){r(i.upperCanvasEl,e+"down",i._onMouseDown),i._willAddMouseDown=0},400)}},_onMouseUp:function(t){this.__onMouseUp(t),this._resetTransformEventData();var e=this.upperCanvasEl,i=this._getEventPrefix();this._isMainEvent(t)&&(n(fabric.document,i+"up",this._onMouseUp),n(fabric.document,i+"move",this._onMouseMove,s),r(e,i+"move",this._onMouseMove,s))},_onMouseMove:function(t){!this.allowTouchScrolling&&t.preventDefault&&t.preventDefault(),this.__onMouseMove(t)},_onResize:function(){this.calcOffset()},_shouldRender:function(t){var e=this._activeObject;return!!(!!e!=!!t||e&&t&&e!==t)||(e&&e.isEditing,!1)},__onMouseUp:function(t){var e,i=this._currentTransform,r=this._groupSelector,n=!1,s=!r||0===r.left&&0===r.top;if(this._cacheTransformEventData(t),e=this._target,this._handleEvent(t,"up:before"),u(t,3))this.fireRightClick&&this._handleEvent(t,"up",3,s);else{if(u(t,2))return this.fireMiddleClick&&this._handleEvent(t,"up",2,s),void this._resetTransformEventData();if(this.isDrawingMode&&this._isCurrentlyDrawing)this._onMouseUpInDrawingMode(t);else if(this._isMainEvent(t)){if(i&&(this._finalizeCurrentTransform(t),n=i.actionPerformed),!s){var o=e===this._activeObject;this._maybeGroupObjects(t),n||(n=this._shouldRender(e)||!o&&e===this._activeObject)}if(e){var a=e._findTargetCorner(this.getPointer(t,!0),fabric.util.isTouchEvent(t)),h=e.controls[a],c=h&&h.getMouseUpHandler(t,e,h);if(c){var l=this.getPointer(t);c(t,i,l.x,l.y)}e.isMoving=!1}this._setCursorFromEvent(t,e),this._handleEvent(t,"up",1,s),this._groupSelector=null,this._currentTransform=null,e&&(e.__corner=0),n?this.requestRenderAll():s||this.renderTop()}}},_simpleEventHandler:function(t,e){var i=this.findTarget(e),r=this.targets,n={e:e,target:i,subTargets:r};if(this.fire(t,n),i&&i.fire(t,n),!r)return i;for(var s=0;s<r.length;s++)r[s].fire(t,n);return i},_handleEvent:function(t,e,i,r){var n=this._target,s=this.targets||[],o={e:t,target:n,subTargets:s,button:i||1,isClick:r||!1,pointer:this._pointer,absolutePointer:this._absolutePointer,transform:this._currentTransform};"up"===e&&(o.currentTarget=this.findTarget(t),o.currentSubTargets=this.targets),this.fire("mouse:"+e,o),n&&n.fire("mouse"+e,o);for(var a=0;a<s.length;a++)s[a].fire("mouse"+e,o)},_finalizeCurrentTransform:function(t){var e,i=this._currentTransform,r=i.target,n={e:t,target:r,transform:i,action:i.action};r._scaling&&(r._scaling=!1),r.setCoords(),(i.actionPerformed||this.stateful&&r.hasStateChanged())&&(i.actionPerformed&&(e=this._addEventOptions(n,i),this._fire(e,n)),this._fire("modified",n))},_addEventOptions:function(t,e){var i,r;switch(e.action){case"scaleX":i="scaled",r="x";break;case"scaleY":i="scaled",r="y";break;case"skewX":i="skewed",r="x";break;case"skewY":i="skewed",r="y";break;case"scale":i="scaled",r="equally";break;case"rotate":i="rotated";break;case"drag":i="moved"}return t.by=r,i},_onMouseDownInDrawingMode:function(t){this._isCurrentlyDrawing=!0,this.getActiveObject()&&this.discardActiveObject(t).requestRenderAll();var e=this.getPointer(t);this.freeDrawingBrush.onMouseDown(e,{e:t,pointer:e}),this._handleEvent(t,"down")},_onMouseMoveInDrawingMode:function(t){if(this._isCurrentlyDrawing){var e=this.getPointer(t);this.freeDrawingBrush.onMouseMove(e,{e:t,pointer:e})}this.setCursor(this.freeDrawingCursor),this._handleEvent(t,"move")},_onMouseUpInDrawingMode:function(t){var e=this.getPointer(t);this._isCurrentlyDrawing=this.freeDrawingBrush.onMouseUp({e:t,pointer:e}),this._handleEvent(t,"up")},__onMouseDown:function(t){this._cacheTransformEventData(t),this._handleEvent(t,"down:before");var e=this._target;if(u(t,3))this.fireRightClick&&this._handleEvent(t,"down",3);else if(u(t,2))this.fireMiddleClick&&this._handleEvent(t,"down",2);else if(this.isDrawingMode)this._onMouseDownInDrawingMode(t);else if(this._isMainEvent(t)&&!this._currentTransform){var i=this._pointer;this._previousPointer=i;var r=this._shouldRender(e),n=this._shouldGroup(t,e);if(this._shouldClearSelection(t,e)?this.discardActiveObject(t):n&&(this._handleGrouping(t,e),e=this._activeObject),!this.selection||e&&(e.selectable||e.isEditing||e===this._activeObject)||(this._groupSelector={ex:i.x,ey:i.y,top:0,left:0}),e){var s=e===this._activeObject;e.selectable&&this.setActiveObject(e,t);var o=e._findTargetCorner(this.getPointer(t,!0),fabric.util.isTouchEvent(t));if(e.__corner=o,e===this._activeObject&&(o||!n)){this._setupCurrentTransform(t,e,s);var a=e.controls[o],h=(i=this.getPointer(t),a&&a.getMouseDownHandler(t,e,a));h&&h(t,this._currentTransform,i.x,i.y)}}this._handleEvent(t,"down"),(r||n)&&this.requestRenderAll()}},_resetTransformEventData:function(){this._target=null,this._pointer=null,this._absolutePointer=null},_cacheTransformEventData:function(t){this._resetTransformEventData(),this._pointer=this.getPointer(t,!0),this._absolutePointer=this.restorePointerVpt(this._pointer),this._target=this._currentTransform?this._currentTransform.target:this.findTarget(t)||null},_beforeTransform:function(t){var e=this._currentTransform;this.stateful&&e.target.saveState(),this.fire("before:transform",{e:t,transform:e})},__onMouseMove:function(t){var e,i;if(this._handleEvent(t,"move:before"),this._cacheTransformEventData(t),this.isDrawingMode)this._onMouseMoveInDrawingMode(t);else if(this._isMainEvent(t)){var r=this._groupSelector;r?(i=this._pointer,r.left=i.x-r.ex,r.top=i.y-r.ey,this.renderTop()):this._currentTransform?this._transformObject(t):(e=this.findTarget(t)||null,this._setCursorFromEvent(t,e),this._fireOverOutEvents(e,t)),this._handleEvent(t,"move"),this._resetTransformEventData()}},_fireOverOutEvents:function(t,e){var i=this._hoveredTarget,r=this._hoveredTargets,n=this.targets,s=Math.max(r.length,n.length);this.fireSyntheticInOutEvents(t,e,{oldTarget:i,evtOut:"mouseout",canvasEvtOut:"mouse:out",evtIn:"mouseover",canvasEvtIn:"mouse:over"});for(var o=0;o<s;o++)this.fireSyntheticInOutEvents(n[o],e,{oldTarget:r[o],evtOut:"mouseout",evtIn:"mouseover"});this._hoveredTarget=t,this._hoveredTargets=this.targets.concat()},_fireEnterLeaveEvents:function(t,e){var i=this._draggedoverTarget,r=this._hoveredTargets,n=this.targets,s=Math.max(r.length,n.length);this.fireSyntheticInOutEvents(t,e,{oldTarget:i,evtOut:"dragleave",evtIn:"dragenter"});for(var o=0;o<s;o++)this.fireSyntheticInOutEvents(n[o],e,{oldTarget:r[o],evtOut:"dragleave",evtIn:"dragenter"});this._draggedoverTarget=t},fireSyntheticInOutEvents:function(t,e,i){var r,n,s,o=i.oldTarget,a=o!==t,h=i.canvasEvtIn,c=i.canvasEvtOut;a&&(r={e:e,target:t,previousTarget:o},n={e:e,target:o,nextTarget:t}),s=t&&a,o&&a&&(c&&this.fire(c,n),o.fire(i.evtOut,n)),s&&(h&&this.fire(h,r),t.fire(i.evtIn,r))},__onMouseWheel:function(t){this._cacheTransformEventData(t),this._handleEvent(t,"wheel"),this._resetTransformEventData()},_transformObject:function(t){var e=this.getPointer(t),i=this._currentTransform;i.reset=!1,i.target.isMoving=!0,i.shiftKey=t.shiftKey,i.altKey=t[this.centeredKey],this._performTransformAction(t,i,e),i.actionPerformed&&this.requestRenderAll()},_performTransformAction:function(t,e,i){var r=i.x,n=i.y,s=e.action,o=!1,a=e.actionHandler;a&&(o=a(t,e,r,n)),"drag"===s&&o&&this.setCursor(e.target.moveCursor||this.moveCursor),e.actionPerformed=e.actionPerformed||o},_fire:fabric.controlsUtils.fireEvent,_setCursorFromEvent:function(t,e){if(!e)return this.setCursor(this.defaultCursor),!1;var i=e.hoverCursor||this.hoverCursor,r=this._activeObject&&"activeSelection"===this._activeObject.type?this._activeObject:null,n=(!r||!r.contains(e))&&e._findTargetCorner(this.getPointer(t,!0));n?this.setCursor(this.getCornerCursor(n,e,t)):(e.subTargetCheck&&this.targets.concat().reverse().map(function(t){i=t.hoverCursor||i}),this.setCursor(i))},getCornerCursor:function(t,e,i){var r=e.controls[t];return r.cursorStyleHandler(i,r,e)}})}(),function(){var f=Math.min,d=Math.max;fabric.util.object.extend(fabric.Canvas.prototype,{_shouldGroup:function(t,e){var i=this._activeObject;return i&&this._isSelectionKeyPressed(t)&&e&&e.selectable&&this.selection&&(i!==e||"activeSelection"===i.type)&&!e.onSelect({e:t})},_handleGrouping:function(t,e){var i=this._activeObject;i.__corner||(e!==i||(e=this.findTarget(t,!0))&&e.selectable)&&(i&&"activeSelection"===i.type?this._updateActiveSelection(e,t):this._createActiveSelection(e,t))},_updateActiveSelection:function(t,e){var i=this._activeObject,r=i._objects.slice(0);i.contains(t)?(i.removeWithUpdate(t),this._hoveredTarget=t,this._hoveredTargets=this.targets.concat(),1===i.size()&&this._setActiveObject(i.item(0),e)):(i.addWithUpdate(t),this._hoveredTarget=i,this._hoveredTargets=this.targets.concat()),this._fireSelectionEvents(r,e)},_createActiveSelection:function(t,e){var i=this.getActiveObjects(),r=this._createGroup(t);this._hoveredTarget=r,this._setActiveObject(r,e),this._fireSelectionEvents(i,e)},_createGroup:function(t){var e=this._objects,i=e.indexOf(this._activeObject)<e.indexOf(t)?[this._activeObject,t]:[t,this._activeObject];return this._activeObject.isEditing&&this._activeObject.exitEditing(),new fabric.ActiveSelection(i,{canvas:this})},_groupSelectedObjects:function(t){var e,i=this._collectObjects(t);1===i.length?this.setActiveObject(i[0],t):1<i.length&&(e=new fabric.ActiveSelection(i.reverse(),{canvas:this}),this.setActiveObject(e,t))},_collectObjects:function(e){for(var t,i=[],r=this._groupSelector.ex,n=this._groupSelector.ey,s=r+this._groupSelector.left,o=n+this._groupSelector.top,a=new fabric.Point(f(r,s),f(n,o)),h=new fabric.Point(d(r,s),d(n,o)),c=!this.selectionFullyContained,l=r===s&&n===o,u=this._objects.length;u--&&!((t=this._objects[u])&&t.selectable&&t.visible&&(c&&t.intersectsWithRect(a,h)||t.isContainedWithinRect(a,h)||c&&t.containsPoint(a)||c&&t.containsPoint(h))&&(i.push(t),l)););return 1<i.length&&(i=i.filter(function(t){return!t.onSelect({e:e})})),i},_maybeGroupObjects:function(t){this.selection&&this._groupSelector&&this._groupSelectedObjects(t),this.setCursor(this.defaultCursor),this._groupSelector=null}})}(),fabric.util.object.extend(fabric.StaticCanvas.prototype,{toDataURL:function(t){t||(t={});var e=t.format||"png",i=t.quality||1,r=(t.multiplier||1)*(t.enableRetinaScaling?this.getRetinaScaling():1),n=this.toCanvasElement(r,t);return fabric.util.toDataURL(n,e,i)},toCanvasElement:function(t,e){t=t||1;var i=((e=e||{}).width||this.width)*t,r=(e.height||this.height)*t,n=this.getZoom(),s=this.width,o=this.height,a=n*t,h=this.viewportTransform,c=(h[4]-(e.left||0))*t,l=(h[5]-(e.top||0))*t,u=this.interactive,f=[a,0,0,a,c,l],d=this.enableRetinaScaling,g=fabric.util.createCanvasElement(),p=this.contextTop;return g.width=i,g.height=r,this.contextTop=null,this.enableRetinaScaling=!1,this.interactive=!1,this.viewportTransform=f,this.width=i,this.height=r,this.calcViewportBoundaries(),this.renderCanvas(g.getContext("2d"),this._objects),this.viewportTransform=h,this.width=s,this.height=o,this.calcViewportBoundaries(),this.interactive=u,this.enableRetinaScaling=d,this.contextTop=p,g}}),fabric.util.object.extend(fabric.StaticCanvas.prototype,{loadFromJSON:function(t,i,e){if(t){var r="string"==typeof t?JSON.parse(t):fabric.util.object.clone(t),n=this,s=r.clipPath,o=this.renderOnAddRemove;return this.renderOnAddRemove=!1,delete r.clipPath,this._enlivenObjects(r.objects,function(e){n.clear(),n._setBgOverlay(r,function(){s?n._enlivenObjects([s],function(t){n.clipPath=t[0],n.__setupCanvas.call(n,r,e,o,i)}):n.__setupCanvas.call(n,r,e,o,i)})},e),this}},__setupCanvas:function(t,e,i,r){var n=this;e.forEach(function(t,e){n.insertAt(t,e)}),this.renderOnAddRemove=i,delete t.objects,delete t.backgroundImage,delete t.overlayImage,delete t.background,delete t.overlay,this._setOptions(t),this.renderAll(),r&&r()},_setBgOverlay:function(t,e){var i={backgroundColor:!1,overlayColor:!1,backgroundImage:!1,overlayImage:!1};if(t.backgroundImage||t.overlayImage||t.background||t.overlay){var r=function(){i.backgroundImage&&i.overlayImage&&i.backgroundColor&&i.overlayColor&&e&&e()};this.__setBgOverlay("backgroundImage",t.backgroundImage,i,r),this.__setBgOverlay("overlayImage",t.overlayImage,i,r),this.__setBgOverlay("backgroundColor",t.background,i,r),this.__setBgOverlay("overlayColor",t.overlay,i,r)}else e&&e()},__setBgOverlay:function(e,t,i,r){var n=this;if(!t)return i[e]=!0,void(r&&r());"backgroundImage"===e||"overlayImage"===e?fabric.util.enlivenObjects([t],function(t){n[e]=t[0],i[e]=!0,r&&r()}):this["set"+fabric.util.string.capitalize(e,!0)](t,function(){i[e]=!0,r&&r()})},_enlivenObjects:function(t,e,i){t&&0!==t.length?fabric.util.enlivenObjects(t,function(t){e&&e(t)},null,i):e&&e([])},_toDataURL:function(e,i){this.clone(function(t){i(t.toDataURL(e))})},_toDataURLWithMultiplier:function(e,i,r){this.clone(function(t){r(t.toDataURLWithMultiplier(e,i))})},clone:function(e,t){var i=JSON.stringify(this.toJSON(t));this.cloneWithoutData(function(t){t.loadFromJSON(i,function(){e&&e(t)})})},cloneWithoutData:function(t){var e=fabric.util.createCanvasElement();e.width=this.width,e.height=this.height;var i=new fabric.Canvas(e);this.backgroundImage?(i.setBackgroundImage(this.backgroundImage.src,function(){i.renderAll(),t&&t(i)}),i.backgroundImageOpacity=this.backgroundImageOpacity,i.backgroundImageStretch=this.backgroundImageStretch):t&&t(i)}}),function(t){"use strict";var x=t.fabric||(t.fabric={}),e=x.util.object.extend,o=x.util.object.clone,r=x.util.toFixed,i=x.util.string.capitalize,a=x.util.degreesToRadians,n=x.StaticCanvas.supports("setLineDash"),s=!x.isLikelyNode;x.Object||(x.Object=x.util.createClass(x.CommonMethods,{type:"object",originX:"left",originY:"top",top:0,left:0,width:0,height:0,scaleX:1,scaleY:1,flipX:!1,flipY:!1,opacity:1,angle:0,skewX:0,skewY:0,cornerSize:13,touchCornerSize:24,transparentCorners:!0,hoverCursor:null,moveCursor:null,padding:0,borderColor:"rgb(178,204,255)",borderDashArray:null,cornerColor:"rgb(178,204,255)",cornerStrokeColor:null,cornerStyle:"rect",cornerDashArray:null,centeredScaling:!1,centeredRotation:!0,fill:"rgb(0,0,0)",fillRule:"nonzero",globalCompositeOperation:"source-over",backgroundColor:"",selectionBackgroundColor:"",stroke:null,strokeWidth:1,strokeDashArray:null,strokeDashOffset:0,strokeLineCap:"butt",strokeLineJoin:"miter",strokeMiterLimit:4,shadow:null,borderOpacityWhenMoving:.4,borderScaleFactor:1,minScaleLimit:0,selectable:!0,evented:!0,visible:!0,hasControls:!0,hasBorders:!0,perPixelTargetFind:!1,includeDefaultValues:!0,lockMovementX:!1,lockMovementY:!1,lockRotation:!1,lockScalingX:!1,lockScalingY:!1,lockSkewingX:!1,lockSkewingY:!1,lockScalingFlip:!1,excludeFromExport:!1,objectCaching:s,statefullCache:!1,noScaleCache:!0,strokeUniform:!1,dirty:!0,__corner:0,paintFirst:"fill",stateProperties:"top left width height scaleX scaleY flipX flipY originX originY transformMatrix stroke strokeWidth strokeDashArray strokeLineCap strokeDashOffset strokeLineJoin strokeMiterLimit angle opacity fill globalCompositeOperation shadow visible backgroundColor skewX skewY fillRule paintFirst clipPath strokeUniform".split(" "),cacheProperties:"fill stroke strokeWidth strokeDashArray width height paintFirst strokeUniform strokeLineCap strokeDashOffset strokeLineJoin strokeMiterLimit backgroundColor clipPath".split(" "),colorProperties:"fill stroke backgroundColor".split(" "),clipPath:void 0,inverted:!1,absolutePositioned:!1,initialize:function(t){t&&this.setOptions(t)},_createCacheCanvas:function(){this._cacheProperties={},this._cacheCanvas=x.util.createCanvasElement(),this._cacheContext=this._cacheCanvas.getContext("2d"),this._updateCacheCanvas(),this.dirty=!0},_limitCacheSize:function(t){var e=x.perfLimitSizeTotal,i=t.width,r=t.height,n=x.maxCacheSideLimit,s=x.minCacheSideLimit;if(i<=n&&r<=n&&i*r<=e)return i<s&&(t.width=s),r<s&&(t.height=s),t;var o=i/r,a=x.util.limitDimsByArea(o,e),h=x.util.capValue,c=h(s,a.x,n),l=h(s,a.y,n);return c<i&&(t.zoomX/=i/c,t.width=c,t.capped=!0),l<r&&(t.zoomY/=r/l,t.height=l,t.capped=!0),t},_getCacheCanvasDimensions:function(){var t=this.getTotalObjectScaling(),e=this._getTransformedDimensions(0,0),i=e.x*t.scaleX/this.scaleX,r=e.y*t.scaleY/this.scaleY;return{width:i+2,height:r+2,zoomX:t.scaleX,zoomY:t.scaleY,x:i,y:r}},_updateCacheCanvas:function(){var t=this.canvas;if(this.noScaleCache&&t&&t._currentTransform){var e=t._currentTransform.target,i=t._currentTransform.action;if(this===e&&i.slice&&"scale"===i.slice(0,5))return!1}var r,n,s=this._cacheCanvas,o=this._limitCacheSize(this._getCacheCanvasDimensions()),a=x.minCacheSideLimit,h=o.width,c=o.height,l=o.zoomX,u=o.zoomY,f=h!==this.cacheWidth||c!==this.cacheHeight,d=this.zoomX!==l||this.zoomY!==u,g=f||d,p=0,v=0,m=!1;if(f){var b=this._cacheCanvas.width,y=this._cacheCanvas.height,_=b<h||y<c;m=_||(h<.9*b||c<.9*y)&&a<b&&a<y,_&&!o.capped&&(a<h||a<c)&&(p=.1*h,v=.1*c)}return!!g&&(m?(s.width=Math.ceil(h+p),s.height=Math.ceil(c+v)):(this._cacheContext.setTransform(1,0,0,1,0,0),this._cacheContext.clearRect(0,0,s.width,s.height)),r=o.x/2,n=o.y/2,this.cacheTranslationX=Math.round(s.width/2-r)+r,this.cacheTranslationY=Math.round(s.height/2-n)+n,this.cacheWidth=h,this.cacheHeight=c,this._cacheContext.translate(this.cacheTranslationX,this.cacheTranslationY),this._cacheContext.scale(l,u),this.zoomX=l,this.zoomY=u,!0)},setOptions:function(t){this._setOptions(t),this._initGradient(t.fill,"fill"),this._initGradient(t.stroke,"stroke"),this._initPattern(t.fill,"fill"),this._initPattern(t.stroke,"stroke")},transform:function(t){var e=this.group&&!this.group._transformDone||this.group&&this.canvas&&t===this.canvas.contextTop,i=this.calcTransformMatrix(!e);t.transform(i[0],i[1],i[2],i[3],i[4],i[5])},toObject:function(t){var e=x.Object.NUM_FRACTION_DIGITS,i={type:this.type,version:x.version,originX:this.originX,originY:this.originY,left:r(this.left,e),top:r(this.top,e),width:r(this.width,e),height:r(this.height,e),fill:this.fill&&this.fill.toObject?this.fill.toObject():this.fill,stroke:this.stroke&&this.stroke.toObject?this.stroke.toObject():this.stroke,strokeWidth:r(this.strokeWidth,e),strokeDashArray:this.strokeDashArray?this.strokeDashArray.concat():this.strokeDashArray,strokeLineCap:this.strokeLineCap,strokeDashOffset:this.strokeDashOffset,strokeLineJoin:this.strokeLineJoin,strokeUniform:this.strokeUniform,strokeMiterLimit:r(this.strokeMiterLimit,e),scaleX:r(this.scaleX,e),scaleY:r(this.scaleY,e),angle:r(this.angle,e),flipX:this.flipX,flipY:this.flipY,opacity:r(this.opacity,e),shadow:this.shadow&&this.shadow.toObject?this.shadow.toObject():this.shadow,visible:this.visible,backgroundColor:this.backgroundColor,fillRule:this.fillRule,paintFirst:this.paintFirst,globalCompositeOperation:this.globalCompositeOperation,skewX:r(this.skewX,e),skewY:r(this.skewY,e)};return this.clipPath&&(i.clipPath=this.clipPath.toObject(t),i.clipPath.inverted=this.clipPath.inverted,i.clipPath.absolutePositioned=this.clipPath.absolutePositioned),x.util.populateWithProperties(this,i,t),this.includeDefaultValues||(i=this._removeDefaultValues(i)),i},toDatalessObject:function(t){return this.toObject(t)},_removeDefaultValues:function(e){var i=x.util.getKlass(e.type).prototype;return i.stateProperties.forEach(function(t){"left"!==t&&"top"!==t&&(e[t]===i[t]&&delete e[t],"[object Array]"===Object.prototype.toString.call(e[t])&&"[object Array]"===Object.prototype.toString.call(i[t])&&0===e[t].length&&0===i[t].length&&delete e[t])}),e},toString:function(){return"#<fabric."+i(this.type)+">"},getObjectScaling:function(){var t=x.util.qrDecompose(this.calcTransformMatrix());return{scaleX:Math.abs(t.scaleX),scaleY:Math.abs(t.scaleY)}},getTotalObjectScaling:function(){var t=this.getObjectScaling(),e=t.scaleX,i=t.scaleY;if(this.canvas){var r=this.canvas.getZoom(),n=this.canvas.getRetinaScaling();e*=r*n,i*=r*n}return{scaleX:e,scaleY:i}},getObjectOpacity:function(){var t=this.opacity;return this.group&&(t*=this.group.getObjectOpacity()),t},_set:function(t,e){var i="scaleX"===t||"scaleY"===t,r=this[t]!==e,n=!1;return i&&(e=this._constrainScale(e)),"scaleX"===t&&e<0?(this.flipX=!this.flipX,e*=-1):"scaleY"===t&&e<0?(this.flipY=!this.flipY,e*=-1):"shadow"!==t||!e||e instanceof x.Shadow?"dirty"===t&&this.group&&this.group.set("dirty",e):e=new x.Shadow(e),this[t]=e,r&&(n=this.group&&this.group.isOnACache(),-1<this.cacheProperties.indexOf(t)?(this.dirty=!0,n&&this.group.set("dirty",!0)):n&&-1<this.stateProperties.indexOf(t)&&this.group.set("dirty",!0)),this},setOnGroup:function(){},getViewportTransform:function(){return this.canvas&&this.canvas.viewportTransform?this.canvas.viewportTransform:x.iMatrix.concat()},isNotVisible:function(){return 0===this.opacity||!this.width&&!this.height&&0===this.strokeWidth||!this.visible},render:function(t){this.isNotVisible()||this.canvas&&this.canvas.skipOffscreen&&!this.group&&!this.isOnScreen()||(t.save(),this._setupCompositeOperation(t),this.drawSelectionBackground(t),this.transform(t),this._setOpacity(t),this._setShadow(t,this),this.shouldCache()?(this.renderCache(),this.drawCacheOnCanvas(t)):(this._removeCacheCanvas(),this.dirty=!1,this.drawObject(t),this.objectCaching&&this.statefullCache&&this.saveState({propertySet:"cacheProperties"})),t.restore())},renderCache:function(t){t=t||{},this._cacheCanvas||this._createCacheCanvas(),this.isCacheDirty()&&(this.statefullCache&&this.saveState({propertySet:"cacheProperties"}),this.drawObject(this._cacheContext,t.forClipping),this.dirty=!1)},_removeCacheCanvas:function(){this._cacheCanvas=null,this.cacheWidth=0,this.cacheHeight=0},hasStroke:function(){return this.stroke&&"transparent"!==this.stroke&&0!==this.strokeWidth},hasFill:function(){return this.fill&&"transparent"!==this.fill},needsItsOwnCache:function(){return!("stroke"!==this.paintFirst||!this.hasFill()||!this.hasStroke()||"object"!=typeof this.shadow)||!!this.clipPath},shouldCache:function(){return this.ownCaching=this.needsItsOwnCache()||this.objectCaching&&(!this.group||!this.group.isOnACache()),this.ownCaching},willDrawShadow:function(){return!!this.shadow&&(0!==this.shadow.offsetX||0!==this.shadow.offsetY)},drawClipPathOnCache:function(t){var e=this.clipPath;if(t.save(),e.inverted?t.globalCompositeOperation="destination-out":t.globalCompositeOperation="destination-in",e.absolutePositioned){var i=x.util.invertTransform(this.calcTransformMatrix());t.transform(i[0],i[1],i[2],i[3],i[4],i[5])}e.transform(t),t.scale(1/e.zoomX,1/e.zoomY),t.drawImage(e._cacheCanvas,-e.cacheTranslationX,-e.cacheTranslationY),t.restore()},drawObject:function(t,e){var i=this.fill,r=this.stroke;e?(this.fill="black",this.stroke="",this._setClippingProperties(t)):this._renderBackground(t),this._render(t),this._drawClipPath(t),this.fill=i,this.stroke=r},_drawClipPath:function(t){var e=this.clipPath;e&&(e.canvas=this.canvas,e.shouldCache(),e._transformDone=!0,e.renderCache({forClipping:!0}),this.drawClipPathOnCache(t))},drawCacheOnCanvas:function(t){t.scale(1/this.zoomX,1/this.zoomY),t.drawImage(this._cacheCanvas,-this.cacheTranslationX,-this.cacheTranslationY)},isCacheDirty:function(t){if(this.isNotVisible())return!1;if(this._cacheCanvas&&!t&&this._updateCacheCanvas())return!0;if(this.dirty||this.clipPath&&this.clipPath.absolutePositioned||this.statefullCache&&this.hasStateChanged("cacheProperties")){if(this._cacheCanvas&&!t){var e=this.cacheWidth/this.zoomX,i=this.cacheHeight/this.zoomY;this._cacheContext.clearRect(-e/2,-i/2,e,i)}return!0}return!1},_renderBackground:function(t){if(this.backgroundColor){var e=this._getNonTransformedDimensions();t.fillStyle=this.backgroundColor,t.fillRect(-e.x/2,-e.y/2,e.x,e.y),this._removeShadow(t)}},_setOpacity:function(t){this.group&&!this.group._transformDone?t.globalAlpha=this.getObjectOpacity():t.globalAlpha*=this.opacity},_setStrokeStyles:function(t,e){var i=e.stroke;i&&(t.lineWidth=e.strokeWidth,t.lineCap=e.strokeLineCap,t.lineDashOffset=e.strokeDashOffset,t.lineJoin=e.strokeLineJoin,t.miterLimit=e.strokeMiterLimit,i.toLive?"percentage"===i.gradientUnits||i.gradientTrasnform||i.patternTransform?this._applyPatternForTransformedGradient(t,i):(t.strokeStyle=i.toLive(t,this),this._applyPatternGradientTransform(t,i)):t.strokeStyle=e.stroke)},_setFillStyles:function(t,e){var i=e.fill;i&&(i.toLive?(t.fillStyle=i.toLive(t,this),this._applyPatternGradientTransform(t,e.fill)):t.fillStyle=i)},_setClippingProperties:function(t){t.globalAlpha=1,t.strokeStyle="transparent",t.fillStyle="#000000"},_setLineDash:function(t,e,i){e&&0!==e.length&&(1&e.length&&e.push.apply(e,e),n?t.setLineDash(e):i&&i(t))},_renderControls:function(t,e){var i,r,n,s=this.getViewportTransform(),o=this.calcTransformMatrix();r=void 0!==(e=e||{}).hasBorders?e.hasBorders:this.hasBorders,n=void 0!==e.hasControls?e.hasControls:this.hasControls,o=x.util.multiplyTransformMatrices(s,o),i=x.util.qrDecompose(o),t.save(),t.translate(i.translateX,i.translateY),t.lineWidth=1*this.borderScaleFactor,this.group||(t.globalAlpha=this.isMoving?this.borderOpacityWhenMoving:1),e.forActiveSelection?(t.rotate(a(i.angle)),r&&this.drawBordersInGroup(t,i,e)):(t.rotate(a(this.angle)),r&&this.drawBorders(t,e)),n&&this.drawControls(t,e),t.restore()},_setShadow:function(t){if(this.shadow){var e,i=this.shadow,r=this.canvas,n=r&&r.viewportTransform[0]||1,s=r&&r.viewportTransform[3]||1;e=i.nonScaling?{scaleX:1,scaleY:1}:this.getObjectScaling(),r&&r._isRetinaScaling()&&(n*=x.devicePixelRatio,s*=x.devicePixelRatio),t.shadowColor=i.color,t.shadowBlur=i.blur*x.browserShadowBlurConstant*(n+s)*(e.scaleX+e.scaleY)/4,t.shadowOffsetX=i.offsetX*n*e.scaleX,t.shadowOffsetY=i.offsetY*s*e.scaleY}},_removeShadow:function(t){this.shadow&&(t.shadowColor="",t.shadowBlur=t.shadowOffsetX=t.shadowOffsetY=0)},_applyPatternGradientTransform:function(t,e){if(!e||!e.toLive)return{offsetX:0,offsetY:0};var i=e.gradientTransform||e.patternTransform,r=-this.width/2+e.offsetX||0,n=-this.height/2+e.offsetY||0;return"percentage"===e.gradientUnits?t.transform(this.width,0,0,this.height,r,n):t.transform(1,0,0,1,r,n),i&&t.transform(i[0],i[1],i[2],i[3],i[4],i[5]),{offsetX:r,offsetY:n}},_renderPaintInOrder:function(t){"stroke"===this.paintFirst?(this._renderStroke(t),this._renderFill(t)):(this._renderFill(t),this._renderStroke(t))},_render:function(){},_renderFill:function(t){this.fill&&(t.save(),this._setFillStyles(t,this),"evenodd"===this.fillRule?t.fill("evenodd"):t.fill(),t.restore())},_renderStroke:function(t){if(this.stroke&&0!==this.strokeWidth){if(this.shadow&&!this.shadow.affectStroke&&this._removeShadow(t),t.save(),this.strokeUniform&&this.group){var e=this.getObjectScaling();t.scale(1/e.scaleX,1/e.scaleY)}else this.strokeUniform&&t.scale(1/this.scaleX,1/this.scaleY);this._setLineDash(t,this.strokeDashArray,this._renderDashedStroke),this._setStrokeStyles(t,this),t.stroke(),t.restore()}},_applyPatternForTransformedGradient:function(t,e){var i,r=this._limitCacheSize(this._getCacheCanvasDimensions()),n=x.util.createCanvasElement(),s=this.canvas.getRetinaScaling(),o=r.x/this.scaleX/s,a=r.y/this.scaleY/s;n.width=o,n.height=a,(i=n.getContext("2d")).beginPath(),i.moveTo(0,0),i.lineTo(o,0),i.lineTo(o,a),i.lineTo(0,a),i.closePath(),i.translate(o/2,a/2),i.scale(r.zoomX/this.scaleX/s,r.zoomY/this.scaleY/s),this._applyPatternGradientTransform(i,e),i.fillStyle=e.toLive(t),i.fill(),t.translate(-this.width/2-this.strokeWidth/2,-this.height/2-this.strokeWidth/2),t.scale(s*this.scaleX/r.zoomX,s*this.scaleY/r.zoomY),t.strokeStyle=i.createPattern(n,"no-repeat")},_findCenterFromElement:function(){return{x:this.left+this.width/2,y:this.top+this.height/2}},_assignTransformMatrixProps:function(){if(this.transformMatrix){var t=x.util.qrDecompose(this.transformMatrix);this.flipX=!1,this.flipY=!1,this.set("scaleX",t.scaleX),this.set("scaleY",t.scaleY),this.angle=t.angle,this.skewX=t.skewX,this.skewY=0}},_removeTransformMatrix:function(t){var e=this._findCenterFromElement();this.transformMatrix&&(this._assignTransformMatrixProps(),e=x.util.transformPoint(e,this.transformMatrix)),this.transformMatrix=null,t&&(this.scaleX*=t.scaleX,this.scaleY*=t.scaleY,this.cropX=t.cropX,this.cropY=t.cropY,e.x+=t.offsetLeft,e.y+=t.offsetTop,this.width=t.width,this.height=t.height),this.setPositionByOrigin(e,"center","center")},clone:function(t,e){var i=this.toObject(e);this.constructor.fromObject?this.constructor.fromObject(i,t):x.Object._fromObject("Object",i,t)},cloneAsImage:function(t,e){var i=this.toCanvasElement(e);return t&&t(new x.Image(i)),this},toCanvasElement:function(t){t||(t={});var e=x.util,i=e.saveObjectTransform(this),r=this.group,n=this.shadow,s=Math.abs,o=(t.multiplier||1)*(t.enableRetinaScaling?x.devicePixelRatio:1);delete this.group,t.withoutTransform&&e.resetObjectTransform(this),t.withoutShadow&&(this.shadow=null);var a,h,c,l,u=x.util.createCanvasElement(),f=this.getBoundingRect(!0,!0),d=this.shadow,g={x:0,y:0};d&&(h=d.blur,a=d.nonScaling?{scaleX:1,scaleY:1}:this.getObjectScaling(),g.x=2*Math.round(s(d.offsetX)+h)*s(a.scaleX),g.y=2*Math.round(s(d.offsetY)+h)*s(a.scaleY)),c=f.width+g.x,l=f.height+g.y,u.width=Math.ceil(c),u.height=Math.ceil(l);var p=new x.StaticCanvas(u,{enableRetinaScaling:!1,renderOnAddRemove:!1,skipOffscreen:!1});"jpeg"===t.format&&(p.backgroundColor="#fff"),this.setPositionByOrigin(new x.Point(p.width/2,p.height/2),"center","center");var v=this.canvas;p.add(this);var m=p.toCanvasElement(o||1,t);return this.shadow=n,this.set("canvas",v),r&&(this.group=r),this.set(i).setCoords(),p._objects=[],p.dispose(),p=null,m},toDataURL:function(t){return t||(t={}),x.util.toDataURL(this.toCanvasElement(t),t.format||"png",t.quality||1)},isType:function(t){return this.type===t},complexity:function(){return 1},toJSON:function(t){return this.toObject(t)},rotate:function(t){var e=("center"!==this.originX||"center"!==this.originY)&&this.centeredRotation;return e&&this._setOriginToCenter(),this.set("angle",t),e&&this._resetOrigin(),this},centerH:function(){return this.canvas&&this.canvas.centerObjectH(this),this},viewportCenterH:function(){return this.canvas&&this.canvas.viewportCenterObjectH(this),this},centerV:function(){return this.canvas&&this.canvas.centerObjectV(this),this},viewportCenterV:function(){return this.canvas&&this.canvas.viewportCenterObjectV(this),this},center:function(){return this.canvas&&this.canvas.centerObject(this),this},viewportCenter:function(){return this.canvas&&this.canvas.viewportCenterObject(this),this},getLocalPointer:function(t,e){e=e||this.canvas.getPointer(t);var i=new x.Point(e.x,e.y),r=this._getLeftTopCoords();return this.angle&&(i=x.util.rotatePoint(i,r,a(-this.angle))),{x:i.x-r.x,y:i.y-r.y}},_setupCompositeOperation:function(t){this.globalCompositeOperation&&(t.globalCompositeOperation=this.globalCompositeOperation)}}),x.util.createAccessors&&x.util.createAccessors(x.Object),e(x.Object.prototype,x.Observable),x.Object.NUM_FRACTION_DIGITS=2,x.Object._fromObject=function(t,i,r,n){var s=x[t];i=o(i,!0),x.util.enlivenPatterns([i.fill,i.stroke],function(t){void 0!==t[0]&&(i.fill=t[0]),void 0!==t[1]&&(i.stroke=t[1]),x.util.enlivenObjects([i.clipPath],function(t){i.clipPath=t[0];var e=n?new s(i[n],i):new s(i);r&&r(e)})})},x.Object.__uid=0)}("undefined"!=typeof exports?exports:this),function(){var a=fabric.util.degreesToRadians,l={left:-.5,center:0,right:.5},u={top:-.5,center:0,bottom:.5};fabric.util.object.extend(fabric.Object.prototype,{translateToGivenOrigin:function(t,e,i,r,n){var s,o,a,h=t.x,c=t.y;return"string"==typeof e?e=l[e]:e-=.5,"string"==typeof r?r=l[r]:r-=.5,"string"==typeof i?i=u[i]:i-=.5,"string"==typeof n?n=u[n]:n-=.5,o=n-i,((s=r-e)||o)&&(a=this._getTransformedDimensions(),h=t.x+s*a.x,c=t.y+o*a.y),new fabric.Point(h,c)},translateToCenterPoint:function(t,e,i){var r=this.translateToGivenOrigin(t,e,i,"center","center");return this.angle?fabric.util.rotatePoint(r,t,a(this.angle)):r},translateToOriginPoint:function(t,e,i){var r=this.translateToGivenOrigin(t,"center","center",e,i);return this.angle?fabric.util.rotatePoint(r,t,a(this.angle)):r},getCenterPoint:function(){var t=new fabric.Point(this.left,this.top);return this.translateToCenterPoint(t,this.originX,this.originY)},getPointByOrigin:function(t,e){var i=this.getCenterPoint();return this.translateToOriginPoint(i,t,e)},toLocalPoint:function(t,e,i){var r,n,s=this.getCenterPoint();return r=void 0!==e&&void 0!==i?this.translateToGivenOrigin(s,"center","center",e,i):new fabric.Point(this.left,this.top),n=new fabric.Point(t.x,t.y),this.angle&&(n=fabric.util.rotatePoint(n,s,-a(this.angle))),n.subtractEquals(r)},setPositionByOrigin:function(t,e,i){var r=this.translateToCenterPoint(t,e,i),n=this.translateToOriginPoint(r,this.originX,this.originY);this.set("left",n.x),this.set("top",n.y)},adjustPosition:function(t){var e,i,r=a(this.angle),n=this.getScaledWidth(),s=fabric.util.cos(r)*n,o=fabric.util.sin(r)*n;e="string"==typeof this.originX?l[this.originX]:this.originX-.5,i="string"==typeof t?l[t]:t-.5,this.left+=s*(i-e),this.top+=o*(i-e),this.setCoords(),this.originX=t},_setOriginToCenter:function(){this._originalOriginX=this.originX,this._originalOriginY=this.originY;var t=this.getCenterPoint();this.originX="center",this.originY="center",this.left=t.x,this.top=t.y},_resetOrigin:function(){var t=this.translateToOriginPoint(this.getCenterPoint(),this._originalOriginX,this._originalOriginY);this.originX=this._originalOriginX,this.originY=this._originalOriginY,this.left=t.x,this.top=t.y,this._originalOriginX=null,this._originalOriginY=null},_getLeftTopCoords:function(){return this.translateToOriginPoint(this.getCenterPoint(),"left","top")}})}(),function(){var c=fabric.util,l=c.degreesToRadians,a=c.multiplyTransformMatrices,u=c.transformPoint;c.object.extend(fabric.Object.prototype,{oCoords:null,aCoords:null,lineCoords:null,ownMatrixCache:null,matrixCache:null,controls:{},_getCoords:function(t,e){return e?t?this.calcACoords():this.calcLineCoords():(this.aCoords&&this.lineCoords||this.setCoords(!0),t?this.aCoords:this.lineCoords)},getCoords:function(t,e){return i=this._getCoords(t,e),[new fabric.Point(i.tl.x,i.tl.y),new fabric.Point(i.tr.x,i.tr.y),new fabric.Point(i.br.x,i.br.y),new fabric.Point(i.bl.x,i.bl.y)];var i},intersectsWithRect:function(t,e,i,r){var n=this.getCoords(i,r);return"Intersection"===fabric.Intersection.intersectPolygonRectangle(n,t,e).status},intersectsWithObject:function(t,e,i){return"Intersection"===fabric.Intersection.intersectPolygonPolygon(this.getCoords(e,i),t.getCoords(e,i)).status||t.isContainedWithinObject(this,e,i)||this.isContainedWithinObject(t,e,i)},isContainedWithinObject:function(t,e,i){for(var r=this.getCoords(e,i),n=e?t.aCoords:t.lineCoords,s=0,o=t._getImageLines(n);s<4;s++)if(!t.containsPoint(r[s],o))return!1;return!0},isContainedWithinRect:function(t,e,i,r){var n=this.getBoundingRect(i,r);return n.left>=t.x&&n.left+n.width<=e.x&&n.top>=t.y&&n.top+n.height<=e.y},containsPoint:function(t,e,i,r){var n=this._getCoords(i,r),s=(e=e||this._getImageLines(n),this._findCrossPoints(t,e));return 0!==s&&s%2==1},isOnScreen:function(t){if(!this.canvas)return!1;var e=this.canvas.vptCoords.tl,i=this.canvas.vptCoords.br;return!!this.getCoords(!0,t).some(function(t){return t.x<=i.x&&t.x>=e.x&&t.y<=i.y&&t.y>=e.y})||(!!this.intersectsWithRect(e,i,!0,t)||this._containsCenterOfCanvas(e,i,t))},_containsCenterOfCanvas:function(t,e,i){var r={x:(t.x+e.x)/2,y:(t.y+e.y)/2};return!!this.containsPoint(r,null,!0,i)},isPartiallyOnScreen:function(t){if(!this.canvas)return!1;var e=this.canvas.vptCoords.tl,i=this.canvas.vptCoords.br;return!!this.intersectsWithRect(e,i,!0,t)||this.getCoords(!0,t).every(function(t){return(t.x>=i.x||t.x<=e.x)&&(t.y>=i.y||t.y<=e.y)})&&this._containsCenterOfCanvas(e,i,t)},_getImageLines:function(t){return{topline:{o:t.tl,d:t.tr},rightline:{o:t.tr,d:t.br},bottomline:{o:t.br,d:t.bl},leftline:{o:t.bl,d:t.tl}}},_findCrossPoints:function(t,e){var i,r,n,s=0;for(var o in e)if(!((n=e[o]).o.y<t.y&&n.d.y<t.y||n.o.y>=t.y&&n.d.y>=t.y||(n.o.x===n.d.x&&n.o.x>=t.x?r=n.o.x:(0,i=(n.d.y-n.o.y)/(n.d.x-n.o.x),r=-(t.y-0*t.x-(n.o.y-i*n.o.x))/(0-i)),r>=t.x&&(s+=1),2!==s)))break;return s},getBoundingRect:function(t,e){var i=this.getCoords(t,e);return c.makeBoundingBoxFromPoints(i)},getScaledWidth:function(){return this._getTransformedDimensions().x},getScaledHeight:function(){return this._getTransformedDimensions().y},_constrainScale:function(t){return Math.abs(t)<this.minScaleLimit?t<0?-this.minScaleLimit:this.minScaleLimit:0===t?1e-4:t},scale:function(t){return this._set("scaleX",t),this._set("scaleY",t),this.setCoords()},scaleToWidth:function(t,e){var i=this.getBoundingRect(e).width/this.getScaledWidth();return this.scale(t/this.width/i)},scaleToHeight:function(t,e){var i=this.getBoundingRect(e).height/this.getScaledHeight();return this.scale(t/this.height/i)},calcCoords:function(t){return t?this.calcACoords():this.calcOCoords()},calcLineCoords:function(){var t=this.getViewportTransform(),e=this.padding,i=l(this.angle),r=c.cos(i)*e,n=c.sin(i)*e,s=r+n,o=r-n,a=this.calcACoords(),h={tl:u(a.tl,t),tr:u(a.tr,t),bl:u(a.bl,t),br:u(a.br,t)};return e&&(h.tl.x-=o,h.tl.y-=s,h.tr.x+=s,h.tr.y-=o,h.bl.x-=s,h.bl.y+=o,h.br.x+=o,h.br.y+=s),h},calcOCoords:function(){var t=this._calcRotateMatrix(),e=this._calcTranslateMatrix(),i=this.getViewportTransform(),r=a(i,e),n=a(r,t),s=(n=a(n,[1/i[0],0,0,1/i[3],0,0]),this._calculateCurrentDimensions()),o={};return this.forEachControl(function(t,e,i){o[e]=t.positionHandler(s,n,i)}),o},calcACoords:function(){var t=this._calcRotateMatrix(),e=this._calcTranslateMatrix(),i=a(e,t),r=this._getTransformedDimensions(),n=r.x/2,s=r.y/2;return{tl:u({x:-n,y:-s},i),tr:u({x:n,y:-s},i),bl:u({x:-n,y:s},i),br:u({x:n,y:s},i)}},setCoords:function(t){return this.aCoords=this.calcACoords(),this.lineCoords=this.group?this.aCoords:this.calcLineCoords(),t||(this.oCoords=this.calcOCoords(),this._setCornerCoords&&this._setCornerCoords()),this},_calcRotateMatrix:function(){return c.calcRotateMatrix(this)},_calcTranslateMatrix:function(){var t=this.getCenterPoint();return[1,0,0,1,t.x,t.y]},transformMatrixKey:function(t){var e="_",i="";return!t&&this.group&&(i=this.group.transformMatrixKey(t)+e),i+this.top+e+this.left+e+this.scaleX+e+this.scaleY+e+this.skewX+e+this.skewY+e+this.angle+e+this.originX+e+this.originY+e+this.width+e+this.height+e+this.strokeWidth+this.flipX+this.flipY},calcTransformMatrix:function(t){var e=this.calcOwnMatrix();if(t||!this.group)return e;var i=this.transformMatrixKey(t),r=this.matrixCache||(this.matrixCache={});return r.key===i?r.value:(this.group&&(e=a(this.group.calcTransformMatrix(!1),e)),r.key=i,r.value=e)},calcOwnMatrix:function(){var t=this.transformMatrixKey(!0),e=this.ownMatrixCache||(this.ownMatrixCache={});if(e.key===t)return e.value;var i=this._calcTranslateMatrix(),r={angle:this.angle,translateX:i[4],translateY:i[5],scaleX:this.scaleX,scaleY:this.scaleY,skewX:this.skewX,skewY:this.skewY,flipX:this.flipX,flipY:this.flipY};return e.key=t,e.value=c.composeMatrix(r),e.value},_calcDimensionsTransformMatrix:function(t,e,i){return c.calcDimensionsMatrix({skewX:t,skewY:e,scaleX:this.scaleX*(i&&this.flipX?-1:1),scaleY:this.scaleY*(i&&this.flipY?-1:1)})},_getNonTransformedDimensions:function(){var t=this.strokeWidth;return{x:this.width+t,y:this.height+t}},_getTransformedDimensions:function(t,e){void 0===t&&(t=this.skewX),void 0===e&&(e=this.skewY);var i,r,n=this._getNonTransformedDimensions(),s=0===t&&0===e;if(this.strokeUniform?(i=this.width,r=this.height):(i=n.x,r=n.y),s)return this._finalizeDimensions(i*this.scaleX,r*this.scaleY);var o=c.sizeAfterTransform(i,r,{scaleX:this.scaleX,scaleY:this.scaleY,skewX:t,skewY:e});return this._finalizeDimensions(o.x,o.y)},_finalizeDimensions:function(t,e){return this.strokeUniform?{x:t+this.strokeWidth,y:e+this.strokeWidth}:{x:t,y:e}},_calculateCurrentDimensions:function(){var t=this.getViewportTransform(),e=this._getTransformedDimensions();return u(e,t,!0).scalarAdd(2*this.padding)}})}(),fabric.util.object.extend(fabric.Object.prototype,{sendToBack:function(){return this.group?fabric.StaticCanvas.prototype.sendToBack.call(this.group,this):this.canvas&&this.canvas.sendToBack(this),this},bringToFront:function(){return this.group?fabric.StaticCanvas.prototype.bringToFront.call(this.group,this):this.canvas&&this.canvas.bringToFront(this),this},sendBackwards:function(t){return this.group?fabric.StaticCanvas.prototype.sendBackwards.call(this.group,this,t):this.canvas&&this.canvas.sendBackwards(this,t),this},bringForward:function(t){return this.group?fabric.StaticCanvas.prototype.bringForward.call(this.group,this,t):this.canvas&&this.canvas.bringForward(this,t),this},moveTo:function(t){return this.group&&"activeSelection"!==this.group.type?fabric.StaticCanvas.prototype.moveTo.call(this.group,this,t):this.canvas&&this.canvas.moveTo(this,t),this}}),function(){function f(t,e){if(e){if(e.toLive)return t+": url(#SVGID_"+e.id+"); ";var i=new fabric.Color(e),r=t+": "+i.toRgb()+"; ",n=i.getAlpha();return 1!==n&&(r+=t+"-opacity: "+n.toString()+"; "),r}return t+": none; "}var i=fabric.util.toFixed;fabric.util.object.extend(fabric.Object.prototype,{getSvgStyles:function(t){var e=this.fillRule?this.fillRule:"nonzero",i=this.strokeWidth?this.strokeWidth:"0",r=this.strokeDashArray?this.strokeDashArray.join(" "):"none",n=this.strokeDashOffset?this.strokeDashOffset:"0",s=this.strokeLineCap?this.strokeLineCap:"butt",o=this.strokeLineJoin?this.strokeLineJoin:"miter",a=this.strokeMiterLimit?this.strokeMiterLimit:"4",h=void 0!==this.opacity?this.opacity:"1",c=this.visible?"":" visibility: hidden;",l=t?"":this.getSvgFilter(),u=f("fill",this.fill);return[f("stroke",this.stroke),"stroke-width: ",i,"; ","stroke-dasharray: ",r,"; ","stroke-linecap: ",s,"; ","stroke-dashoffset: ",n,"; ","stroke-linejoin: ",o,"; ","stroke-miterlimit: ",a,"; ",u,"fill-rule: ",e,"; ","opacity: ",h,";",l,c].join("")},getSvgSpanStyles:function(t,e){var i="; ",r=t.fontFamily?"font-family: "+(-1===t.fontFamily.indexOf("'")&&-1===t.fontFamily.indexOf('"')?"'"+t.fontFamily+"'":t.fontFamily)+i:"",n=t.strokeWidth?"stroke-width: "+t.strokeWidth+i:"",s=(r=r,t.fontSize?"font-size: "+t.fontSize+"px"+i:""),o=t.fontStyle?"font-style: "+t.fontStyle+i:"",a=t.fontWeight?"font-weight: "+t.fontWeight+i:"",h=t.fill?f("fill",t.fill):"",c=t.stroke?f("stroke",t.stroke):"",l=this.getSvgTextDecoration(t);return l&&(l="text-decoration: "+l+i),[c,n,r,s,o,a,l,h,t.deltaY?"baseline-shift: "+-t.deltaY+"; ":"",e?"white-space: pre; ":""].join("")},getSvgTextDecoration:function(e){return["overline","underline","line-through"].filter(function(t){return e[t.replace("-","")]}).join(" ")},getSvgFilter:function(){return this.shadow?"filter: url(#SVGID_"+this.shadow.id+");":""},getSvgCommons:function(){return[this.id?'id="'+this.id+'" ':"",this.clipPath?'clip-path="url(#'+this.clipPath.clipPathId+')" ':""].join("")},getSvgTransform:function(t,e){var i=t?this.calcTransformMatrix():this.calcOwnMatrix();return'transform="'+fabric.util.matrixToSVG(i)+(e||"")+'" '},_setSVGBg:function(t){if(this.backgroundColor){var e=fabric.Object.NUM_FRACTION_DIGITS;t.push("\t\t<rect ",this._getFillAttributes(this.backgroundColor),' x="',i(-this.width/2,e),'" y="',i(-this.height/2,e),'" width="',i(this.width,e),'" height="',i(this.height,e),'"></rect>\n')}},toSVG:function(t){return this._createBaseSVGMarkup(this._toSVG(t),{reviver:t})},toClipPathSVG:function(t){return"\t"+this._createBaseClipPathSVGMarkup(this._toSVG(t),{reviver:t})},_createBaseClipPathSVGMarkup:function(t,e){var i=(e=e||{}).reviver,r=e.additionalTransform||"",n=[this.getSvgTransform(!0,r),this.getSvgCommons()].join(""),s=t.indexOf("COMMON_PARTS");return t[s]=n,i?i(t.join("")):t.join("")},_createBaseSVGMarkup:function(t,e){var i,r,n=(e=e||{}).noStyle,s=e.reviver,o=n?"":'style="'+this.getSvgStyles()+'" ',a=e.withShadow?'style="'+this.getSvgFilter()+'" ':"",h=this.clipPath,c=this.strokeUniform?'vector-effect="non-scaling-stroke" ':"",l=h&&h.absolutePositioned,u=this.stroke,f=this.fill,d=this.shadow,g=[],p=t.indexOf("COMMON_PARTS"),v=e.additionalTransform;return h&&(h.clipPathId="CLIPPATH_"+fabric.Object.__uid++,r='<clipPath id="'+h.clipPathId+'" >\n'+h.toClipPathSVG(s)+"</clipPath>\n"),l&&g.push("<g ",a,this.getSvgCommons()," >\n"),g.push("<g ",this.getSvgTransform(!1),l?"":a+this.getSvgCommons()," >\n"),i=[o,c,n?"":this.addPaintOrder()," ",v?'transform="'+v+'" ':""].join(""),t[p]=i,f&&f.toLive&&g.push(f.toSVG(this)),u&&u.toLive&&g.push(u.toSVG(this)),d&&g.push(d.toSVG(this)),h&&g.push(r),g.push(t.join("")),g.push("</g>\n"),l&&g.push("</g>\n"),s?s(g.join("")):g.join("")},addPaintOrder:function(){return"fill"!==this.paintFirst?' paint-order="'+this.paintFirst+'" ':""}})}(),function(){var n=fabric.util.object.extend,r="stateProperties";function s(e,t,i){var r={};i.forEach(function(t){r[t]=e[t]}),n(e[t],r,!0)}fabric.util.object.extend(fabric.Object.prototype,{hasStateChanged:function(t){var e="_"+(t=t||r);return Object.keys(this[e]).length<this[t].length||!function t(e,i,r){if(e===i)return!0;if(Array.isArray(e)){if(!Array.isArray(i)||e.length!==i.length)return!1;for(var n=0,s=e.length;n<s;n++)if(!t(e[n],i[n]))return!1;return!0}if(e&&"object"==typeof e){var o,a=Object.keys(e);if(!i||"object"!=typeof i||!r&&a.length!==Object.keys(i).length)return!1;for(n=0,s=a.length;n<s;n++)if("canvas"!==(o=a[n])&&"group"!==o&&!t(e[o],i[o]))return!1;return!0}}(this[e],this,!0)},saveState:function(t){var e=t&&t.propertySet||r,i="_"+e;return this[i]?(s(this,i,this[e]),t&&t.stateProperties&&s(this,i,t.stateProperties),this):this.setupState(t)},setupState:function(t){var e=(t=t||{}).propertySet||r;return this["_"+(t.propertySet=e)]={},this.saveState(t),this}})}(),function(){var n=fabric.util.degreesToRadians;fabric.util.object.extend(fabric.Object.prototype,{_findTargetCorner:function(t,e){if(!this.hasControls||this.group||!this.canvas||this.canvas._activeObject!==this)return!1;var i,r,n,s=t.x,o=t.y,a=Object.keys(this.oCoords),h=a.length-1;for(this.__corner=0;0<=h;h--)if(n=a[h],this.isControlVisible(n)&&(r=this._getImageLines(e?this.oCoords[n].touchCorner:this.oCoords[n].corner),0!==(i=this._findCrossPoints({x:s,y:o},r))&&i%2==1))return this.__corner=n;return!1},forEachControl:function(t){for(var e in this.controls)t(this.controls[e],e,this)},_setCornerCoords:function(){var t=this.oCoords;for(var e in t){var i=this.controls[e];t[e].corner=i.calcCornerCoords(this.angle,this.cornerSize,t[e].x,t[e].y,!1),t[e].touchCorner=i.calcCornerCoords(this.angle,this.touchCornerSize,t[e].x,t[e].y,!0)}},drawSelectionBackground:function(t){if(!this.selectionBackgroundColor||this.canvas&&!this.canvas.interactive||this.canvas&&this.canvas._activeObject!==this)return this;t.save();var e=this.getCenterPoint(),i=this._calculateCurrentDimensions(),r=this.canvas.viewportTransform;return t.translate(e.x,e.y),t.scale(1/r[0],1/r[3]),t.rotate(n(this.angle)),t.fillStyle=this.selectionBackgroundColor,t.fillRect(-i.x/2,-i.y/2,i.x,i.y),t.restore(),this},drawBorders:function(r,t){t=t||{};var e=this._calculateCurrentDimensions(),i=this.borderScaleFactor,n=e.x+i,s=e.y+i,o=void 0!==t.hasControls?t.hasControls:this.hasControls,a=!1;return r.save(),r.strokeStyle=t.borderColor||this.borderColor,this._setLineDash(r,t.borderDashArray||this.borderDashArray,null),r.strokeRect(-n/2,-s/2,n,s),o&&(r.beginPath(),this.forEachControl(function(t,e,i){t.withConnection&&t.getVisibility(i,e)&&(a=!0,r.moveTo(t.x*n,t.y*s),r.lineTo(t.x*n+t.offsetX,t.y*s+t.offsetY))}),a&&r.stroke()),r.restore(),this},drawBordersInGroup:function(t,e,i){i=i||{};var r=fabric.util.sizeAfterTransform(this.width,this.height,e),n=this.strokeWidth,s=this.strokeUniform,o=this.borderScaleFactor,a=r.x+n*(s?this.canvas.getZoom():e.scaleX)+o,h=r.y+n*(s?this.canvas.getZoom():e.scaleY)+o;return t.save(),this._setLineDash(t,i.borderDashArray||this.borderDashArray,null),t.strokeStyle=i.borderColor||this.borderColor,t.strokeRect(-a/2,-h/2,a,h),t.restore(),this},drawControls:function(r,n){return n=n||{},r.save(),r.setTransform(this.canvas.getRetinaScaling(),0,0,this.canvas.getRetinaScaling(),0,0),r.strokeStyle=r.fillStyle=n.cornerColor||this.cornerColor,this.transparentCorners||(r.strokeStyle=n.cornerStrokeColor||this.cornerStrokeColor),this._setLineDash(r,n.cornerDashArray||this.cornerDashArray,null),this.setCoords(),this.forEachControl(function(t,e,i){t.getVisibility(i,e)&&t.render(r,i.oCoords[e].x,i.oCoords[e].y,n,i)}),r.restore(),this},isControlVisible:function(t){return this.controls[t]&&this.controls[t].getVisibility(this,t)},setControlVisible:function(t,e){return this._controlsVisibility||(this._controlsVisibility={}),this._controlsVisibility[t]=e,this},setControlsVisibility:function(t){for(var e in t||(t={}),t)this.setControlVisible(e,t[e]);return this},onDeselect:function(){},onSelect:function(){}})}(),fabric.util.object.extend(fabric.StaticCanvas.prototype,{FX_DURATION:500,fxCenterObjectH:function(e,t){var i=function(){},r=(t=t||{}).onComplete||i,n=t.onChange||i,s=this;return fabric.util.animate({startValue:e.left,endValue:this.getCenter().left,duration:this.FX_DURATION,onChange:function(t){e.set("left",t),s.requestRenderAll(),n()},onComplete:function(){e.setCoords(),r()}}),this},fxCenterObjectV:function(e,t){var i=function(){},r=(t=t||{}).onComplete||i,n=t.onChange||i,s=this;return fabric.util.animate({startValue:e.top,endValue:this.getCenter().top,duration:this.FX_DURATION,onChange:function(t){e.set("top",t),s.requestRenderAll(),n()},onComplete:function(){e.setCoords(),r()}}),this},fxRemove:function(e,t){var i=function(){},r=(t=t||{}).onComplete||i,n=t.onChange||i,s=this;return fabric.util.animate({startValue:e.opacity,endValue:0,duration:this.FX_DURATION,onChange:function(t){e.set("opacity",t),s.requestRenderAll(),n()},onComplete:function(){s.remove(e),r()}}),this}}),fabric.util.object.extend(fabric.Object.prototype,{animate:function(){if(arguments[0]&&"object"==typeof arguments[0]){var t,e,i=[];for(t in arguments[0])i.push(t);for(var r=0,n=i.length;r<n;r++)t=i[r],e=r!==n-1,this._animate(t,arguments[0][t],arguments[1],e)}else this._animate.apply(this,arguments);return this},_animate:function(r,t,n,s){var o,a=this;t=t.toString(),n=n?fabric.util.object.clone(n):{},~r.indexOf(".")&&(o=r.split("."));var e=-1<a.colorProperties.indexOf(r)||o&&-1<a.colorProperties.indexOf(o[1]),i=o?this.get(o[0])[o[1]]:this.get(r);"from"in n||(n.from=i),e||(t=~t.indexOf("=")?i+parseFloat(t.replace("=","")):parseFloat(t));var h={startValue:n.from,endValue:t,byValue:n.by,easing:n.easing,duration:n.duration,abort:n.abort&&function(){return n.abort.call(a)},onChange:function(t,e,i){o?a[o[0]][o[1]]=t:a.set(r,t),s||n.onChange&&n.onChange(t,e,i)},onComplete:function(t,e,i){s||(a.setCoords(),n.onComplete&&n.onComplete(t,e,i))}};e?fabric.util.animateColor(h.startValue,h.endValue,h.duration,h):fabric.util.animate(h)}}),function(t){"use strict";var s=t.fabric||(t.fabric={}),o=s.util.object.extend,r=s.util.object.clone,i={x1:1,x2:1,y1:1,y2:1},n=s.StaticCanvas.supports("setLineDash");function e(t,e){var i=t.origin,r=t.axis1,n=t.axis2,s=t.dimension,o=e.nearest,a=e.center,h=e.farthest;return function(){switch(this.get(i)){case o:return Math.min(this.get(r),this.get(n));case a:return Math.min(this.get(r),this.get(n))+.5*this.get(s);case h:return Math.max(this.get(r),this.get(n))}}}s.Line?s.warn("fabric.Line is already defined"):(s.Line=s.util.createClass(s.Object,{type:"line",x1:0,y1:0,x2:0,y2:0,cacheProperties:s.Object.prototype.cacheProperties.concat("x1","x2","y1","y2"),initialize:function(t,e){t||(t=[0,0,0,0]),this.callSuper("initialize",e),this.set("x1",t[0]),this.set("y1",t[1]),this.set("x2",t[2]),this.set("y2",t[3]),this._setWidthHeight(e)},_setWidthHeight:function(t){t||(t={}),this.width=Math.abs(this.x2-this.x1),this.height=Math.abs(this.y2-this.y1),this.left="left"in t?t.left:this._getLeftToOriginX(),this.top="top"in t?t.top:this._getTopToOriginY()},_set:function(t,e){return this.callSuper("_set",t,e),void 0!==i[t]&&this._setWidthHeight(),this},_getLeftToOriginX:e({origin:"originX",axis1:"x1",axis2:"x2",dimension:"width"},{nearest:"left",center:"center",farthest:"right"}),_getTopToOriginY:e({origin:"originY",axis1:"y1",axis2:"y2",dimension:"height"},{nearest:"top",center:"center",farthest:"bottom"}),_render:function(t){if(t.beginPath(),!this.strokeDashArray||this.strokeDashArray&&n){var e=this.calcLinePoints();t.moveTo(e.x1,e.y1),t.lineTo(e.x2,e.y2)}t.lineWidth=this.strokeWidth;var i=t.strokeStyle;t.strokeStyle=this.stroke||t.fillStyle,this.stroke&&this._renderStroke(t),t.strokeStyle=i},_renderDashedStroke:function(t){var e=this.calcLinePoints();t.beginPath(),s.util.drawDashedLine(t,e.x1,e.y1,e.x2,e.y2,this.strokeDashArray),t.closePath()},_findCenterFromElement:function(){return{x:(this.x1+this.x2)/2,y:(this.y1+this.y2)/2}},toObject:function(t){return o(this.callSuper("toObject",t),this.calcLinePoints())},_getNonTransformedDimensions:function(){var t=this.callSuper("_getNonTransformedDimensions");return"butt"===this.strokeLineCap&&(0===this.width&&(t.y-=this.strokeWidth),0===this.height&&(t.x-=this.strokeWidth)),t},calcLinePoints:function(){var t=this.x1<=this.x2?-1:1,e=this.y1<=this.y2?-1:1,i=t*this.width*.5,r=e*this.height*.5;return{x1:i,x2:t*this.width*-.5,y1:r,y2:e*this.height*-.5}},_toSVG:function(){var t=this.calcLinePoints();return["<line ","COMMON_PARTS",'x1="',t.x1,'" y1="',t.y1,'" x2="',t.x2,'" y2="',t.y2,'" />\n']}}),s.Line.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("x1 y1 x2 y2".split(" ")),s.Line.fromElement=function(t,e,i){i=i||{};var r=s.parseAttributes(t,s.Line.ATTRIBUTE_NAMES),n=[r.x1||0,r.y1||0,r.x2||0,r.y2||0];e(new s.Line(n,o(r,i)))},s.Line.fromObject=function(t,e){var i=r(t,!0);i.points=[t.x1,t.y1,t.x2,t.y2],s.Object._fromObject("Line",i,function(t){delete t.points,e&&e(t)},"points")})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var a=t.fabric||(t.fabric={}),h=Math.PI;a.Circle?a.warn("fabric.Circle is already defined."):(a.Circle=a.util.createClass(a.Object,{type:"circle",radius:0,startAngle:0,endAngle:2*h,cacheProperties:a.Object.prototype.cacheProperties.concat("radius","startAngle","endAngle"),_set:function(t,e){return this.callSuper("_set",t,e),"radius"===t&&this.setRadius(e),this},toObject:function(t){return this.callSuper("toObject",["radius","startAngle","endAngle"].concat(t))},_toSVG:function(){var t,e=(this.endAngle-this.startAngle)%(2*h);if(0===e)t=["<circle ","COMMON_PARTS",'cx="0" cy="0" ','r="',this.radius,'" />\n'];else{var i=a.util.cos(this.startAngle)*this.radius,r=a.util.sin(this.startAngle)*this.radius,n=a.util.cos(this.endAngle)*this.radius,s=a.util.sin(this.endAngle)*this.radius,o=h<e?"1":"0";t=['<path d="M '+i+" "+r," A "+this.radius+" "+this.radius," 0 ",+o+" 1"," "+n+" "+s,'" ',"COMMON_PARTS"," />\n"]}return t},_render:function(t){t.beginPath(),t.arc(0,0,this.radius,this.startAngle,this.endAngle,!1),this._renderPaintInOrder(t)},getRadiusX:function(){return this.get("radius")*this.get("scaleX")},getRadiusY:function(){return this.get("radius")*this.get("scaleY")},setRadius:function(t){return this.radius=t,this.set("width",2*t).set("height",2*t)}}),a.Circle.ATTRIBUTE_NAMES=a.SHARED_ATTRIBUTES.concat("cx cy r".split(" ")),a.Circle.fromElement=function(t,e){var i,r=a.parseAttributes(t,a.Circle.ATTRIBUTE_NAMES);if(!("radius"in(i=r)&&0<=i.radius))throw new Error("value of `r` attribute is required and can not be negative");r.left=(r.left||0)-r.radius,r.top=(r.top||0)-r.radius,e(new a.Circle(r))},a.Circle.fromObject=function(t,e){return a.Object._fromObject("Circle",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var r=t.fabric||(t.fabric={});r.Triangle?r.warn("fabric.Triangle is already defined"):(r.Triangle=r.util.createClass(r.Object,{type:"triangle",width:100,height:100,_render:function(t){var e=this.width/2,i=this.height/2;t.beginPath(),t.moveTo(-e,i),t.lineTo(0,-i),t.lineTo(e,i),t.closePath(),this._renderPaintInOrder(t)},_renderDashedStroke:function(t){var e=this.width/2,i=this.height/2;t.beginPath(),r.util.drawDashedLine(t,-e,i,0,-i,this.strokeDashArray),r.util.drawDashedLine(t,0,-i,e,i,this.strokeDashArray),r.util.drawDashedLine(t,e,i,-e,i,this.strokeDashArray),t.closePath()},_toSVG:function(){var t=this.width/2,e=this.height/2;return["<polygon ","COMMON_PARTS",'points="',[-t+" "+e,"0 "+-e,t+" "+e].join(","),'" />']}}),r.Triangle.fromObject=function(t,e){return r.Object._fromObject("Triangle",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var r=t.fabric||(t.fabric={}),e=2*Math.PI;r.Ellipse?r.warn("fabric.Ellipse is already defined."):(r.Ellipse=r.util.createClass(r.Object,{type:"ellipse",rx:0,ry:0,cacheProperties:r.Object.prototype.cacheProperties.concat("rx","ry"),initialize:function(t){this.callSuper("initialize",t),this.set("rx",t&&t.rx||0),this.set("ry",t&&t.ry||0)},_set:function(t,e){switch(this.callSuper("_set",t,e),t){case"rx":this.rx=e,this.set("width",2*e);break;case"ry":this.ry=e,this.set("height",2*e)}return this},getRx:function(){return this.get("rx")*this.get("scaleX")},getRy:function(){return this.get("ry")*this.get("scaleY")},toObject:function(t){return this.callSuper("toObject",["rx","ry"].concat(t))},_toSVG:function(){return["<ellipse ","COMMON_PARTS",'cx="0" cy="0" ','rx="',this.rx,'" ry="',this.ry,'" />\n']},_render:function(t){t.beginPath(),t.save(),t.transform(1,0,0,this.ry/this.rx,0,0),t.arc(0,0,this.rx,0,e,!1),t.restore(),this._renderPaintInOrder(t)}}),r.Ellipse.ATTRIBUTE_NAMES=r.SHARED_ATTRIBUTES.concat("cx cy rx ry".split(" ")),r.Ellipse.fromElement=function(t,e){var i=r.parseAttributes(t,r.Ellipse.ATTRIBUTE_NAMES);i.left=(i.left||0)-i.rx,i.top=(i.top||0)-i.ry,e(new r.Ellipse(i))},r.Ellipse.fromObject=function(t,e){return r.Object._fromObject("Ellipse",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var s=t.fabric||(t.fabric={}),o=s.util.object.extend;s.Rect?s.warn("fabric.Rect is already defined"):(s.Rect=s.util.createClass(s.Object,{stateProperties:s.Object.prototype.stateProperties.concat("rx","ry"),type:"rect",rx:0,ry:0,cacheProperties:s.Object.prototype.cacheProperties.concat("rx","ry"),initialize:function(t){this.callSuper("initialize",t),this._initRxRy()},_initRxRy:function(){this.rx&&!this.ry?this.ry=this.rx:this.ry&&!this.rx&&(this.rx=this.ry)},_render:function(t){var e=this.rx?Math.min(this.rx,this.width/2):0,i=this.ry?Math.min(this.ry,this.height/2):0,r=this.width,n=this.height,s=-this.width/2,o=-this.height/2,a=0!==e||0!==i,h=.4477152502;t.beginPath(),t.moveTo(s+e,o),t.lineTo(s+r-e,o),a&&t.bezierCurveTo(s+r-h*e,o,s+r,o+h*i,s+r,o+i),t.lineTo(s+r,o+n-i),a&&t.bezierCurveTo(s+r,o+n-h*i,s+r-h*e,o+n,s+r-e,o+n),t.lineTo(s+e,o+n),a&&t.bezierCurveTo(s+h*e,o+n,s,o+n-h*i,s,o+n-i),t.lineTo(s,o+i),a&&t.bezierCurveTo(s,o+h*i,s+h*e,o,s+e,o),t.closePath(),this._renderPaintInOrder(t)},_renderDashedStroke:function(t){var e=-this.width/2,i=-this.height/2,r=this.width,n=this.height;t.beginPath(),s.util.drawDashedLine(t,e,i,e+r,i,this.strokeDashArray),s.util.drawDashedLine(t,e+r,i,e+r,i+n,this.strokeDashArray),s.util.drawDashedLine(t,e+r,i+n,e,i+n,this.strokeDashArray),s.util.drawDashedLine(t,e,i+n,e,i,this.strokeDashArray),t.closePath()},toObject:function(t){return this.callSuper("toObject",["rx","ry"].concat(t))},_toSVG:function(){return["<rect ","COMMON_PARTS",'x="',-this.width/2,'" y="',-this.height/2,'" rx="',this.rx,'" ry="',this.ry,'" width="',this.width,'" height="',this.height,'" />\n']}}),s.Rect.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("x y rx ry width height".split(" ")),s.Rect.fromElement=function(t,e,i){if(!t)return e(null);i=i||{};var r=s.parseAttributes(t,s.Rect.ATTRIBUTE_NAMES);r.left=r.left||0,r.top=r.top||0,r.height=r.height||0,r.width=r.width||0;var n=new s.Rect(o(i?s.util.object.clone(i):{},r));n.visible=n.visible&&0<n.width&&0<n.height,e(n)},s.Rect.fromObject=function(t,e){return s.Object._fromObject("Rect",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var o=t.fabric||(t.fabric={}),a=o.util.object.extend,r=o.util.array.min,n=o.util.array.max,h=o.util.toFixed;o.Polyline?o.warn("fabric.Polyline is already defined"):(o.Polyline=o.util.createClass(o.Object,{type:"polyline",points:null,cacheProperties:o.Object.prototype.cacheProperties.concat("points"),initialize:function(t,e){e=e||{},this.points=t||[],this.callSuper("initialize",e),this._setPositionDimensions(e)},_setPositionDimensions:function(t){var e,i=this._calcDimensions(t);this.width=i.width,this.height=i.height,t.fromSVG||(e=this.translateToGivenOrigin({x:i.left-this.strokeWidth/2,y:i.top-this.strokeWidth/2},"left","top",this.originX,this.originY)),void 0===t.left&&(this.left=t.fromSVG?i.left:e.x),void 0===t.top&&(this.top=t.fromSVG?i.top:e.y),this.pathOffset={x:i.left+this.width/2,y:i.top+this.height/2}},_calcDimensions:function(){var t=this.points,e=r(t,"x")||0,i=r(t,"y")||0;return{left:e,top:i,width:(n(t,"x")||0)-e,height:(n(t,"y")||0)-i}},toObject:function(t){return a(this.callSuper("toObject",t),{points:this.points.concat()})},_toSVG:function(){for(var t=[],e=this.pathOffset.x,i=this.pathOffset.y,r=o.Object.NUM_FRACTION_DIGITS,n=0,s=this.points.length;n<s;n++)t.push(h(this.points[n].x-e,r),",",h(this.points[n].y-i,r)," ");return["<"+this.type+" ","COMMON_PARTS",'points="',t.join(""),'" />\n']},commonRender:function(t){var e,i=this.points.length,r=this.pathOffset.x,n=this.pathOffset.y;if(!i||isNaN(this.points[i-1].y))return!1;t.beginPath(),t.moveTo(this.points[0].x-r,this.points[0].y-n);for(var s=0;s<i;s++)e=this.points[s],t.lineTo(e.x-r,e.y-n);return!0},_render:function(t){this.commonRender(t)&&this._renderPaintInOrder(t)},_renderDashedStroke:function(t){var e,i;t.beginPath();for(var r=0,n=this.points.length;r<n;r++)e=this.points[r],i=this.points[r+1]||e,o.util.drawDashedLine(t,e.x,e.y,i.x,i.y,this.strokeDashArray)},complexity:function(){return this.get("points").length}}),o.Polyline.ATTRIBUTE_NAMES=o.SHARED_ATTRIBUTES.concat(),o.Polyline.fromElementGenerator=function(s){return function(t,e,i){if(!t)return e(null);i||(i={});var r=o.parsePointsAttribute(t.getAttribute("points")),n=o.parseAttributes(t,o[s].ATTRIBUTE_NAMES);n.fromSVG=!0,e(new o[s](r,a(n,i)))}},o.Polyline.fromElement=o.Polyline.fromElementGenerator("Polyline"),o.Polyline.fromObject=function(t,e){return o.Object._fromObject("Polyline",t,e,"points")})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var i=t.fabric||(t.fabric={});i.Polygon?i.warn("fabric.Polygon is already defined"):(i.Polygon=i.util.createClass(i.Polyline,{type:"polygon",_render:function(t){this.commonRender(t)&&(t.closePath(),this._renderPaintInOrder(t))},_renderDashedStroke:function(t){this.callSuper("_renderDashedStroke",t),t.closePath()}}),i.Polygon.ATTRIBUTE_NAMES=i.SHARED_ATTRIBUTES.concat(),i.Polygon.fromElement=i.Polyline.fromElementGenerator("Polygon"),i.Polygon.fromObject=function(t,e){return i.Object._fromObject("Polygon",t,e,"points")})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var f=t.fabric||(t.fabric={}),d=f.util.array.min,g=f.util.array.max,n=f.util.object.extend,r=Object.prototype.toString,e=f.util.toFixed;f.Path?f.warn("fabric.Path is already defined"):(f.Path=f.util.createClass(f.Object,{type:"path",path:null,cacheProperties:f.Object.prototype.cacheProperties.concat("path","fillRule"),stateProperties:f.Object.prototype.stateProperties.concat("path"),initialize:function(t,e){e=e||{},this.callSuper("initialize",e),t||(t=[]);var i="[object Array]"===r.call(t);this.path=i?f.util.makePathSimpler(t):f.util.makePathSimpler(f.util.parsePath(t)),this.path&&f.Polyline.prototype._setPositionDimensions.call(this,e)},_renderPathCommands:function(t){var e,i=0,r=0,n=0,s=0,o=0,a=0,h=-this.pathOffset.x,c=-this.pathOffset.y;t.beginPath();for(var l=0,u=this.path.length;l<u;++l)switch((e=this.path[l])[0]){case"L":n=e[1],s=e[2],t.lineTo(n+h,s+c);break;case"M":i=n=e[1],r=s=e[2],t.moveTo(n+h,s+c);break;case"C":n=e[5],s=e[6],o=e[3],a=e[4],t.bezierCurveTo(e[1]+h,e[2]+c,o+h,a+c,n+h,s+c);break;case"Q":t.quadraticCurveTo(e[1]+h,e[2]+c,e[3]+h,e[4]+c),n=e[3],s=e[4],o=e[1],a=e[2];break;case"z":case"Z":n=i,s=r,t.closePath()}},_render:function(t){this._renderPathCommands(t),this._renderPaintInOrder(t)},toString:function(){return"#<fabric.Path ("+this.complexity()+'): { "top": '+this.top+', "left": '+this.left+" }>"},toObject:function(t){return n(this.callSuper("toObject",t),{path:this.path.map(function(t){return t.slice()})})},toDatalessObject:function(t){var e=this.toObject(["sourcePath"].concat(t));return e.sourcePath&&delete e.path,e},_toSVG:function(){return["<path ","COMMON_PARTS",'d="',this.path.map(function(t){return t.join(" ")}).join(" "),'" stroke-linecap="round" ',"/>\n"]},_getOffsetTransform:function(){var t=f.Object.NUM_FRACTION_DIGITS;return" translate("+e(-this.pathOffset.x,t)+", "+e(-this.pathOffset.y,t)+")"},toClipPathSVG:function(t){var e=this._getOffsetTransform();return"\t"+this._createBaseClipPathSVGMarkup(this._toSVG(),{reviver:t,additionalTransform:e})},toSVG:function(t){var e=this._getOffsetTransform();return this._createBaseSVGMarkup(this._toSVG(),{reviver:t,additionalTransform:e})},complexity:function(){return this.path.length},_calcDimensions:function(){for(var t,e,i=[],r=[],n=0,s=0,o=0,a=0,h=0,c=this.path.length;h<c;++h){switch((t=this.path[h])[0]){case"L":o=t[1],a=t[2],e=[];break;case"M":n=o=t[1],s=a=t[2],e=[];break;case"C":e=f.util.getBoundsOfCurve(o,a,t[1],t[2],t[3],t[4],t[5],t[6]),o=t[5],a=t[6];break;case"Q":e=f.util.getBoundsOfCurve(o,a,t[1],t[2],t[1],t[2],t[3],t[4]),o=t[3],a=t[4];break;case"z":case"Z":o=n,a=s}e.forEach(function(t){i.push(t.x),r.push(t.y)}),i.push(o),r.push(a)}var l=d(i)||0,u=d(r)||0;return{left:l,top:u,width:(g(i)||0)-l,height:(g(r)||0)-u}}}),f.Path.fromObject=function(i,r){if("string"==typeof i.sourcePath){var t=i.sourcePath;f.loadSVGFromURL(t,function(t){var e=t[0];e.setOptions(i),r&&r(e)})}else f.Object._fromObject("Path",i,r,"path")},f.Path.ATTRIBUTE_NAMES=f.SHARED_ATTRIBUTES.concat(["d"]),f.Path.fromElement=function(t,e,i){var r=f.parseAttributes(t,f.Path.ATTRIBUTE_NAMES);r.fromSVG=!0,e(new f.Path(r.d,n(r,i)))})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var c=t.fabric||(t.fabric={}),l=c.util.array.min,u=c.util.array.max;c.Group||(c.Group=c.util.createClass(c.Object,c.Collection,{type:"group",strokeWidth:0,subTargetCheck:!1,cacheProperties:[],useSetOnGroup:!1,initialize:function(t,e,i){e=e||{},this._objects=[],i&&this.callSuper("initialize",e),this._objects=t||[];for(var r=this._objects.length;r--;)this._objects[r].group=this;if(i)this._updateObjectsACoords();else{var n=e&&e.centerPoint;void 0!==e.originX&&(this.originX=e.originX),void 0!==e.originY&&(this.originY=e.originY),n||this._calcBounds(),this._updateObjectsCoords(n),delete e.centerPoint,this.callSuper("initialize",e)}this.setCoords()},_updateObjectsACoords:function(){for(var t=this._objects.length;t--;)this._objects[t].setCoords(!0)},_updateObjectsCoords:function(t){t=t||this.getCenterPoint();for(var e=this._objects.length;e--;)this._updateObjectCoords(this._objects[e],t)},_updateObjectCoords:function(t,e){var i=t.left,r=t.top;t.set({left:i-e.x,top:r-e.y}),t.group=this,t.setCoords(!0)},toString:function(){return"#<fabric.Group: ("+this.complexity()+")>"},addWithUpdate:function(t){return this._restoreObjectsState(),c.util.resetObjectTransform(this),t&&(this._objects.push(t),t.group=this,t._set("canvas",this.canvas)),this._calcBounds(),this._updateObjectsCoords(),this.setCoords(),this.dirty=!0,this},removeWithUpdate:function(t){return this._restoreObjectsState(),c.util.resetObjectTransform(this),this.remove(t),this._calcBounds(),this._updateObjectsCoords(),this.setCoords(),this.dirty=!0,this},_onObjectAdded:function(t){this.dirty=!0,t.group=this,t._set("canvas",this.canvas)},_onObjectRemoved:function(t){this.dirty=!0,delete t.group},_set:function(t,e){var i=this._objects.length;if(this.useSetOnGroup)for(;i--;)this._objects[i].setOnGroup(t,e);if("canvas"===t)for(;i--;)this._objects[i]._set(t,e);c.Object.prototype._set.call(this,t,e)},toObject:function(r){var n=this.includeDefaultValues,t=this._objects.map(function(t){var e=t.includeDefaultValues;t.includeDefaultValues=n;var i=t.toObject(r);return t.includeDefaultValues=e,i}),e=c.Object.prototype.toObject.call(this,r);return e.objects=t,e},toDatalessObject:function(r){var t,e=this.sourcePath;if(e)t=e;else{var n=this.includeDefaultValues;t=this._objects.map(function(t){var e=t.includeDefaultValues;t.includeDefaultValues=n;var i=t.toDatalessObject(r);return t.includeDefaultValues=e,i})}var i=c.Object.prototype.toDatalessObject.call(this,r);return i.objects=t,i},render:function(t){this._transformDone=!0,this.callSuper("render",t),this._transformDone=!1},shouldCache:function(){var t=c.Object.prototype.shouldCache.call(this);if(t)for(var e=0,i=this._objects.length;e<i;e++)if(this._objects[e].willDrawShadow())return this.ownCaching=!1;return t},willDrawShadow:function(){if(c.Object.prototype.willDrawShadow.call(this))return!0;for(var t=0,e=this._objects.length;t<e;t++)if(this._objects[t].willDrawShadow())return!0;return!1},isOnACache:function(){return this.ownCaching||this.group&&this.group.isOnACache()},drawObject:function(t){for(var e=0,i=this._objects.length;e<i;e++)this._objects[e].render(t);this._drawClipPath(t)},isCacheDirty:function(t){if(this.callSuper("isCacheDirty",t))return!0;if(!this.statefullCache)return!1;for(var e=0,i=this._objects.length;e<i;e++)if(this._objects[e].isCacheDirty(!0)){if(this._cacheCanvas){var r=this.cacheWidth/this.zoomX,n=this.cacheHeight/this.zoomY;this._cacheContext.clearRect(-r/2,-n/2,r,n)}return!0}return!1},_restoreObjectsState:function(){return this._objects.forEach(this._restoreObjectState,this),this},realizeTransform:function(t){var e=t.calcTransformMatrix(),i=c.util.qrDecompose(e),r=new c.Point(i.translateX,i.translateY);return t.flipX=!1,t.flipY=!1,t.set("scaleX",i.scaleX),t.set("scaleY",i.scaleY),t.skewX=i.skewX,t.skewY=i.skewY,t.angle=i.angle,t.setPositionByOrigin(r,"center","center"),t},_restoreObjectState:function(t){return this.realizeTransform(t),delete t.group,t.setCoords(),this},destroy:function(){return this._objects.forEach(function(t){t.set("dirty",!0)}),this._restoreObjectsState()},toActiveSelection:function(){if(this.canvas){var t=this._objects,e=this.canvas;this._objects=[];var i=this.toObject();delete i.objects;var r=new c.ActiveSelection([]);return r.set(i),r.type="activeSelection",e.remove(this),t.forEach(function(t){t.group=r,t.dirty=!0,e.add(t)}),r.canvas=e,r._objects=t,(e._activeObject=r).setCoords(),r}},ungroupOnCanvas:function(){return this._restoreObjectsState()},setObjectsCoords:function(){return this.forEachObject(function(t){t.setCoords(!0)}),this},_calcBounds:function(t){for(var e,i,r,n=[],s=[],o=["tr","br","bl","tl"],a=0,h=this._objects.length,c=o.length;a<h;++a)for((e=this._objects[a]).aCoords=e.calcACoords(),r=0;r<c;r++)i=o[r],n.push(e.aCoords[i].x),s.push(e.aCoords[i].y);this._getBounds(n,s,t)},_getBounds:function(t,e,i){var r=new c.Point(l(t),l(e)),n=new c.Point(u(t),u(e)),s=r.y||0,o=r.x||0,a=n.x-r.x||0,h=n.y-r.y||0;this.width=a,this.height=h,i||this.setPositionByOrigin({x:o,y:s},"left","top")},_toSVG:function(t){for(var e=["<g ","COMMON_PARTS"," >\n"],i=0,r=this._objects.length;i<r;i++)e.push("\t\t",this._objects[i].toSVG(t));return e.push("</g>\n"),e},getSvgStyles:function(){var t=void 0!==this.opacity&&1!==this.opacity?"opacity: "+this.opacity+";":"",e=this.visible?"":" visibility: hidden;";return[t,this.getSvgFilter(),e].join("")},toClipPathSVG:function(t){for(var e=[],i=0,r=this._objects.length;i<r;i++)e.push("\t",this._objects[i].toClipPathSVG(t));return this._createBaseClipPathSVGMarkup(e,{reviver:t})}}),c.Group.fromObject=function(r,n){var i=r.objects,s=c.util.object.clone(r,!0);delete s.objects,"string"!=typeof i?c.util.enlivenObjects(i,function(i){c.util.enlivenObjects([r.clipPath],function(t){var e=c.util.object.clone(r,!0);e.clipPath=t[0],delete e.objects,n&&n(new c.Group(i,e,!0))})}):c.loadSVGFromURL(i,function(t){var e=c.util.groupSVGElements(t,r,i);e.set(s),n&&n(e)})})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var n=t.fabric||(t.fabric={});n.ActiveSelection||(n.ActiveSelection=n.util.createClass(n.Group,{type:"activeSelection",initialize:function(t,e){e=e||{},this._objects=t||[];for(var i=this._objects.length;i--;)this._objects[i].group=this;e.originX&&(this.originX=e.originX),e.originY&&(this.originY=e.originY),this._calcBounds(),this._updateObjectsCoords(),n.Object.prototype.initialize.call(this,e),this.setCoords()},toGroup:function(){var t=this._objects.concat();this._objects=[];var e=n.Object.prototype.toObject.call(this),i=new n.Group([]);if(delete e.type,i.set(e),t.forEach(function(t){t.canvas.remove(t),t.group=i}),i._objects=t,!this.canvas)return i;var r=this.canvas;return r.add(i),(r._activeObject=i).setCoords(),i},onDeselect:function(){return this.destroy(),!1},toString:function(){return"#<fabric.ActiveSelection: ("+this.complexity()+")>"},shouldCache:function(){return!1},isOnACache:function(){return!1},_renderControls:function(t,e,i){t.save(),t.globalAlpha=this.isMoving?this.borderOpacityWhenMoving:1,this.callSuper("_renderControls",t,e),void 0===(i=i||{}).hasControls&&(i.hasControls=!1),i.forActiveSelection=!0;for(var r=0,n=this._objects.length;r<n;r++)this._objects[r]._renderControls(t,i);t.restore()}}),n.ActiveSelection.fromObject=function(e,i){n.util.enlivenObjects(e.objects,function(t){delete e.objects,i&&i(new n.ActiveSelection(t,e,!0))})})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var n=fabric.util.object.extend;t.fabric||(t.fabric={}),t.fabric.Image?fabric.warn("fabric.Image is already defined."):(fabric.Image=fabric.util.createClass(fabric.Object,{type:"image",strokeWidth:0,srcFromAttribute:!1,_lastScaleX:1,_lastScaleY:1,_filterScalingX:1,_filterScalingY:1,minimumScaleTrigger:.5,stateProperties:fabric.Object.prototype.stateProperties.concat("cropX","cropY"),cacheKey:"",cropX:0,cropY:0,imageSmoothing:!0,initialize:function(t,e){e||(e={}),this.filters=[],this.cacheKey="texture"+fabric.Object.__uid++,this.callSuper("initialize",e),this._initElement(t,e)},getElement:function(){return this._element||{}},setElement:function(t,e){return this.removeTexture(this.cacheKey),this.removeTexture(this.cacheKey+"_filtered"),this._element=t,this._originalElement=t,this._initConfig(e),0!==this.filters.length&&this.applyFilters(),this.resizeFilter&&this.applyResizeFilters(),this},removeTexture:function(t){var e=fabric.filterBackend;e&&e.evictCachesForKey&&e.evictCachesForKey(t)},dispose:function(){this.removeTexture(this.cacheKey),this.removeTexture(this.cacheKey+"_filtered"),this._cacheContext=void 0,["_originalElement","_element","_filteredEl","_cacheCanvas"].forEach(function(t){fabric.util.cleanUpJsdomNode(this[t]),this[t]=void 0}.bind(this))},getCrossOrigin:function(){return this._originalElement&&(this._originalElement.crossOrigin||null)},getOriginalSize:function(){var t=this.getElement();return{width:t.naturalWidth||t.width,height:t.naturalHeight||t.height}},_stroke:function(t){if(this.stroke&&0!==this.strokeWidth){var e=this.width/2,i=this.height/2;t.beginPath(),t.moveTo(-e,-i),t.lineTo(e,-i),t.lineTo(e,i),t.lineTo(-e,i),t.lineTo(-e,-i),t.closePath()}},_renderDashedStroke:function(t){var e=-this.width/2,i=-this.height/2,r=this.width,n=this.height;t.save(),this._setStrokeStyles(t,this),t.beginPath(),fabric.util.drawDashedLine(t,e,i,e+r,i,this.strokeDashArray),fabric.util.drawDashedLine(t,e+r,i,e+r,i+n,this.strokeDashArray),fabric.util.drawDashedLine(t,e+r,i+n,e,i+n,this.strokeDashArray),fabric.util.drawDashedLine(t,e,i+n,e,i,this.strokeDashArray),t.closePath(),t.restore()},toObject:function(t){var e=[];this.filters.forEach(function(t){t&&e.push(t.toObject())});var i=n(this.callSuper("toObject",["cropX","cropY"].concat(t)),{src:this.getSrc(),crossOrigin:this.getCrossOrigin(),filters:e});return this.resizeFilter&&(i.resizeFilter=this.resizeFilter.toObject()),i},hasCrop:function(){return this.cropX||this.cropY||this.width<this._element.width||this.height<this._element.height},_toSVG:function(){var t,e=[],i=[],r=this._element,n=-this.width/2,s=-this.height/2,o="",a="";if(!r)return[];if(this.hasCrop()){var h=fabric.Object.__uid++;e.push('<clipPath id="imageCrop_'+h+'">\n','\t<rect x="'+n+'" y="'+s+'" width="'+this.width+'" height="'+this.height+'" />\n',"</clipPath>\n"),o=' clip-path="url(#imageCrop_'+h+')" '}if(this.imageSmoothing||(a='" image-rendering="optimizeSpeed'),i.push("\t<image ","COMMON_PARTS",'xlink:href="',this.getSvgSrc(!0),'" x="',n-this.cropX,'" y="',s-this.cropY,'" width="',r.width||r.naturalWidth,'" height="',r.height||r.height,a,'"',o,"></image>\n"),this.stroke||this.strokeDashArray){var c=this.fill;this.fill=null,t=["\t<rect ",'x="',n,'" y="',s,'" width="',this.width,'" height="',this.height,'" style="',this.getSvgStyles(),'"/>\n'],this.fill=c}return e="fill"!==this.paintFirst?e.concat(t,i):e.concat(i,t)},getSrc:function(t){var e=t?this._element:this._originalElement;return e?e.toDataURL?e.toDataURL():this.srcFromAttribute?e.getAttribute("src"):e.src:this.src||""},setSrc:function(t,i,r){return fabric.util.loadImage(t,function(t,e){this.setElement(t,r),this._setWidthHeight(),i&&i(this,e)},this,r&&r.crossOrigin),this},toString:function(){return'#<fabric.Image: { src: "'+this.getSrc()+'" }>'},applyResizeFilters:function(){var t=this.resizeFilter,e=this.minimumScaleTrigger,i=this.getTotalObjectScaling(),r=i.scaleX,n=i.scaleY,s=this._filteredEl||this._originalElement;if(this.group&&this.set("dirty",!0),!t||e<r&&e<n)return this._element=s,this._filterScalingX=1,this._filterScalingY=1,this._lastScaleX=r,void(this._lastScaleY=n);fabric.filterBackend||(fabric.filterBackend=fabric.initFilterBackend());var o=fabric.util.createCanvasElement(),a=this._filteredEl?this.cacheKey+"_filtered":this.cacheKey,h=s.width,c=s.height;o.width=h,o.height=c,this._element=o,this._lastScaleX=t.scaleX=r,this._lastScaleY=t.scaleY=n,fabric.filterBackend.applyFilters([t],s,h,c,this._element,a),this._filterScalingX=o.width/this._originalElement.width,this._filterScalingY=o.height/this._originalElement.height},applyFilters:function(t){if(t=(t=t||this.filters||[]).filter(function(t){return t&&!t.isNeutralState()}),this.set("dirty",!0),this.removeTexture(this.cacheKey+"_filtered"),0===t.length)return this._element=this._originalElement,this._filteredEl=null,this._filterScalingX=1,this._filterScalingY=1,this;var e=this._originalElement,i=e.naturalWidth||e.width,r=e.naturalHeight||e.height;if(this._element===this._originalElement){var n=fabric.util.createCanvasElement();n.width=i,n.height=r,this._element=n,this._filteredEl=n}else this._element=this._filteredEl,this._filteredEl.getContext("2d").clearRect(0,0,i,r),this._lastScaleX=1,this._lastScaleY=1;return fabric.filterBackend||(fabric.filterBackend=fabric.initFilterBackend()),fabric.filterBackend.applyFilters(t,this._originalElement,i,r,this._element,this.cacheKey),this._originalElement.width===this._element.width&&this._originalElement.height===this._element.height||(this._filterScalingX=this._element.width/this._originalElement.width,this._filterScalingY=this._element.height/this._originalElement.height),this},_render:function(t){fabric.util.setImageSmoothing(t,this.imageSmoothing),!0!==this.isMoving&&this.resizeFilter&&this._needsResize()&&this.applyResizeFilters(),this._stroke(t),this._renderPaintInOrder(t)},drawCacheOnCanvas:function(t){fabric.util.setImageSmoothing(t,this.imageSmoothing),fabric.Object.prototype.drawCacheOnCanvas.call(this,t)},shouldCache:function(){return this.needsItsOwnCache()},_renderFill:function(t){var e=this._element;if(e){var i=this._filterScalingX,r=this._filterScalingY,n=this.width,s=this.height,o=Math.min,a=Math.max,h=a(this.cropX,0),c=a(this.cropY,0),l=e.naturalWidth||e.width,u=e.naturalHeight||e.height,f=h*i,d=c*r,g=o(n*i,l-f),p=o(s*r,u-d),v=-n/2,m=-s/2,b=o(n,l/i-h),y=o(s,u/i-c);e&&t.drawImage(e,f,d,g,p,v,m,b,y)}},_needsResize:function(){var t=this.getTotalObjectScaling();return t.scaleX!==this._lastScaleX||t.scaleY!==this._lastScaleY},_resetWidthHeight:function(){this.set(this.getOriginalSize())},_initElement:function(t,e){this.setElement(fabric.util.getById(t),e),fabric.util.addClass(this.getElement(),fabric.Image.CSS_CANVAS)},_initConfig:function(t){t||(t={}),this.setOptions(t),this._setWidthHeight(t)},_initFilters:function(t,e){t&&t.length?fabric.util.enlivenObjects(t,function(t){e&&e(t)},"fabric.Image.filters"):e&&e()},_setWidthHeight:function(t){t||(t={});var e=this.getElement();this.width=t.width||e.naturalWidth||e.width||0,this.height=t.height||e.naturalHeight||e.height||0},parsePreserveAspectRatioAttribute:function(){var t,e=fabric.util.parsePreserveAspectRatioAttribute(this.preserveAspectRatio||""),i=this._element.width,r=this._element.height,n=1,s=1,o=0,a=0,h=0,c=0,l=this.width,u=this.height,f={width:l,height:u};return!e||"none"===e.alignX&&"none"===e.alignY?(n=l/i,s=u/r):("meet"===e.meetOrSlice&&(t=(l-i*(n=s=fabric.util.findScaleToFit(this._element,f)))/2,"Min"===e.alignX&&(o=-t),"Max"===e.alignX&&(o=t),t=(u-r*s)/2,"Min"===e.alignY&&(a=-t),"Max"===e.alignY&&(a=t)),"slice"===e.meetOrSlice&&(t=i-l/(n=s=fabric.util.findScaleToCover(this._element,f)),"Mid"===e.alignX&&(h=t/2),"Max"===e.alignX&&(h=t),t=r-u/s,"Mid"===e.alignY&&(c=t/2),"Max"===e.alignY&&(c=t),i=l/n,r=u/s)),{width:i,height:r,scaleX:n,scaleY:s,offsetLeft:o,offsetTop:a,cropX:h,cropY:c}}}),fabric.Image.CSS_CANVAS="canvas-img",fabric.Image.prototype.getSvgSrc=fabric.Image.prototype.getSrc,fabric.Image.fromObject=function(t,r){var n=fabric.util.object.clone(t);fabric.util.loadImage(n.src,function(i,t){t?r&&r(null,!0):fabric.Image.prototype._initFilters.call(n,n.filters,function(t){n.filters=t||[],fabric.Image.prototype._initFilters.call(n,[n.resizeFilter],function(t){n.resizeFilter=t[0],fabric.util.enlivenObjects([n.clipPath],function(t){n.clipPath=t[0];var e=new fabric.Image(i,n);r(e,!1)})})})},null,n.crossOrigin)},fabric.Image.fromURL=function(t,i,r){fabric.util.loadImage(t,function(t,e){i&&i(new fabric.Image(t,r),e)},null,r&&r.crossOrigin)},fabric.Image.ATTRIBUTE_NAMES=fabric.SHARED_ATTRIBUTES.concat("x y width height preserveAspectRatio xlink:href crossOrigin image-rendering".split(" ")),fabric.Image.fromElement=function(t,e,i){var r=fabric.parseAttributes(t,fabric.Image.ATTRIBUTE_NAMES);fabric.Image.fromURL(r["xlink:href"],e,n(i?fabric.util.object.clone(i):{},r))})}("undefined"!=typeof exports?exports:this),fabric.util.object.extend(fabric.Object.prototype,{_getAngleValueForStraighten:function(){var t=this.angle%360;return 0<t?90*Math.round((t-1)/90):90*Math.round(t/90)},straighten:function(){return this.rotate(this._getAngleValueForStraighten()),this},fxStraighten:function(t){var e=function(){},i=(t=t||{}).onComplete||e,r=t.onChange||e,n=this;return fabric.util.animate({startValue:this.get("angle"),endValue:this._getAngleValueForStraighten(),duration:this.FX_DURATION,onChange:function(t){n.rotate(t),r()},onComplete:function(){n.setCoords(),i()}}),this}}),fabric.util.object.extend(fabric.StaticCanvas.prototype,{straightenObject:function(t){return t.straighten(),this.requestRenderAll(),this},fxStraightenObject:function(t){return t.fxStraighten({onChange:this.requestRenderAllBound}),this}}),function(){"use strict";function t(t){t&&t.tileSize&&(this.tileSize=t.tileSize),this.setupGLContext(this.tileSize,this.tileSize),this.captureGPUInfo()}fabric.isWebglSupported=function(t){if(fabric.isLikelyNode)return!1;t=t||fabric.WebglFilterBackend.prototype.tileSize;var e,i,r,n=document.createElement("canvas"),s=n.getContext("webgl")||n.getContext("experimental-webgl"),o=!1;if(s){fabric.maxTextureSize=s.getParameter(s.MAX_TEXTURE_SIZE),o=fabric.maxTextureSize>=t;for(var a=["highp","mediump","lowp"],h=0;h<3;h++)if(void 0,i="precision "+a[h]+" float;\nvoid main(){}",r=(e=s).createShader(e.FRAGMENT_SHADER),e.shaderSource(r,i),e.compileShader(r),e.getShaderParameter(r,e.COMPILE_STATUS)){fabric.webGlPrecision=a[h];break}}return this.isSupported=o},(fabric.WebglFilterBackend=t).prototype={tileSize:2048,resources:{},setupGLContext:function(t,e){this.dispose(),this.createWebGLCanvas(t,e),this.aPosition=new Float32Array([0,0,0,1,1,0,1,1]),this.chooseFastestCopyGLTo2DMethod(t,e)},chooseFastestCopyGLTo2DMethod:function(t,e){var i,r=void 0!==window.performance;try{new ImageData(1,1),i=!0}catch(t){i=!1}var n="undefined"!=typeof ArrayBuffer,s="undefined"!=typeof Uint8ClampedArray;if(r&&i&&n&&s){var o=fabric.util.createCanvasElement(),a=new ArrayBuffer(t*e*4);if(fabric.forceGLPutImageData)return this.imageBuffer=a,void(this.copyGLTo2D=copyGLTo2DPutImageData);var h,c,l={imageBuffer:a,destinationWidth:t,destinationHeight:e,targetCanvas:o};o.width=t,o.height=e,h=window.performance.now(),copyGLTo2DDrawImage.call(l,this.gl,l),c=window.performance.now()-h,h=window.performance.now(),copyGLTo2DPutImageData.call(l,this.gl,l),window.performance.now()-h<c?(this.imageBuffer=a,this.copyGLTo2D=copyGLTo2DPutImageData):this.copyGLTo2D=copyGLTo2DDrawImage}},createWebGLCanvas:function(t,e){var i=fabric.util.createCanvasElement();i.width=t,i.height=e;var r={alpha:!0,premultipliedAlpha:!1,depth:!1,stencil:!1,antialias:!1},n=i.getContext("webgl",r);n||(n=i.getContext("experimental-webgl",r)),n&&(n.clearColor(0,0,0,0),this.canvas=i,this.gl=n)},applyFilters:function(t,e,i,r,n,s){var o,a=this.gl;s&&(o=this.getCachedTexture(s,e));var h={originalWidth:e.width||e.originalWidth,originalHeight:e.height||e.originalHeight,sourceWidth:i,sourceHeight:r,destinationWidth:i,destinationHeight:r,context:a,sourceTexture:this.createTexture(a,i,r,!o&&e),targetTexture:this.createTexture(a,i,r),originalTexture:o||this.createTexture(a,i,r,!o&&e),passes:t.length,webgl:!0,aPosition:this.aPosition,programCache:this.programCache,pass:0,filterBackend:this,targetCanvas:n},c=a.createFramebuffer();return a.bindFramebuffer(a.FRAMEBUFFER,c),t.forEach(function(t){t&&t.applyTo(h)}),resizeCanvasIfNeeded(h),this.copyGLTo2D(a,h),a.bindTexture(a.TEXTURE_2D,null),a.deleteTexture(h.sourceTexture),a.deleteTexture(h.targetTexture),a.deleteFramebuffer(c),n.getContext("2d").setTransform(1,0,0,1,0,0),h},dispose:function(){this.canvas&&(this.canvas=null,this.gl=null),this.clearWebGLCaches()},clearWebGLCaches:function(){this.programCache={},this.textureCache={}},createTexture:function(t,e,i,r){var n=t.createTexture();return t.bindTexture(t.TEXTURE_2D,n),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),r?t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,r):t.texImage2D(t.TEXTURE_2D,0,t.RGBA,e,i,0,t.RGBA,t.UNSIGNED_BYTE,null),n},getCachedTexture:function(t,e){if(this.textureCache[t])return this.textureCache[t];var i=this.createTexture(this.gl,e.width,e.height,e);return this.textureCache[t]=i},evictCachesForKey:function(t){this.textureCache[t]&&(this.gl.deleteTexture(this.textureCache[t]),delete this.textureCache[t])},copyGLTo2D:copyGLTo2DDrawImage,captureGPUInfo:function(){if(this.gpuInfo)return this.gpuInfo;var t=this.gl,e={renderer:"",vendor:""};if(!t)return e;var i=t.getExtension("WEBGL_debug_renderer_info");if(i){var r=t.getParameter(i.UNMASKED_RENDERER_WEBGL),n=t.getParameter(i.UNMASKED_VENDOR_WEBGL);r&&(e.renderer=r.toLowerCase()),n&&(e.vendor=n.toLowerCase())}return this.gpuInfo=e}}}(),function(){"use strict";var t=function(){};function e(){}(fabric.Canvas2dFilterBackend=e).prototype={evictCachesForKey:t,dispose:t,clearWebGLCaches:t,resources:{},applyFilters:function(t,e,i,r,n){var s=n.getContext("2d");s.drawImage(e,0,0,i,r);var o={sourceWidth:i,sourceHeight:r,imageData:s.getImageData(0,0,i,r),originalEl:e,originalImageData:s.getImageData(0,0,i,r),canvasEl:n,ctx:s,filterBackend:this};return t.forEach(function(t){t.applyTo(o)}),o.imageData.width===i&&o.imageData.height===r||(n.width=o.imageData.width,n.height=o.imageData.height),s.putImageData(o.imageData,0,0),o}}}(),fabric.Image=fabric.Image||{},fabric.Image.filters=fabric.Image.filters||{},fabric.Image.filters.BaseFilter=fabric.util.createClass({type:"BaseFilter",vertexSource:"attribute vec2 aPosition;\nvarying vec2 vTexCoord;\nvoid main() {\nvTexCoord = aPosition;\ngl_Position = vec4(aPosition * 2.0 - 1.0, 0.0, 1.0);\n}",fragmentSource:"precision highp float;\nvarying vec2 vTexCoord;\nuniform sampler2D uTexture;\nvoid main() {\ngl_FragColor = texture2D(uTexture, vTexCoord);\n}",initialize:function(t){t&&this.setOptions(t)},setOptions:function(t){for(var e in t)this[e]=t[e]},createProgram:function(t,e,i){e=e||this.fragmentSource,i=i||this.vertexSource,"highp"!==fabric.webGlPrecision&&(e=e.replace(/precision highp float/g,"precision "+fabric.webGlPrecision+" float"));var r=t.createShader(t.VERTEX_SHADER);if(t.shaderSource(r,i),t.compileShader(r),!t.getShaderParameter(r,t.COMPILE_STATUS))throw new Error("Vertex shader compile error for "+this.type+": "+t.getShaderInfoLog(r));var n=t.createShader(t.FRAGMENT_SHADER);if(t.shaderSource(n,e),t.compileShader(n),!t.getShaderParameter(n,t.COMPILE_STATUS))throw new Error("Fragment shader compile error for "+this.type+": "+t.getShaderInfoLog(n));var s=t.createProgram();if(t.attachShader(s,r),t.attachShader(s,n),t.linkProgram(s),!t.getProgramParameter(s,t.LINK_STATUS))throw new Error('Shader link error for "${this.type}" '+t.getProgramInfoLog(s));var o=this.getAttributeLocations(t,s),a=this.getUniformLocations(t,s)||{};return a.uStepW=t.getUniformLocation(s,"uStepW"),a.uStepH=t.getUniformLocation(s,"uStepH"),{program:s,attributeLocations:o,uniformLocations:a}},getAttributeLocations:function(t,e){return{aPosition:t.getAttribLocation(e,"aPosition")}},getUniformLocations:function(){return{}},sendAttributeData:function(t,e,i){var r=e.aPosition,n=t.createBuffer();t.bindBuffer(t.ARRAY_BUFFER,n),t.enableVertexAttribArray(r),t.vertexAttribPointer(r,2,t.FLOAT,!1,0,0),t.bufferData(t.ARRAY_BUFFER,i,t.STATIC_DRAW)},_setupFrameBuffer:function(t){var e,i,r=t.context;1<t.passes?(e=t.destinationWidth,i=t.destinationHeight,t.sourceWidth===e&&t.sourceHeight===i||(r.deleteTexture(t.targetTexture),t.targetTexture=t.filterBackend.createTexture(r,e,i)),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t.targetTexture,0)):(r.bindFramebuffer(r.FRAMEBUFFER,null),r.finish())},_swapTextures:function(t){t.passes--,t.pass++;var e=t.targetTexture;t.targetTexture=t.sourceTexture,t.sourceTexture=e},isNeutralState:function(){var t=this.mainParameter,e=fabric.Image.filters[this.type].prototype;if(t){if(Array.isArray(e[t])){for(var i=e[t].length;i--;)if(this[t][i]!==e[t][i])return!1;return!0}return e[t]===this[t]}return!1},applyTo:function(t){t.webgl?(this._setupFrameBuffer(t),this.applyToWebGL(t),this._swapTextures(t)):this.applyTo2d(t)},retrieveShader:function(t){return t.programCache.hasOwnProperty(this.type)||(t.programCache[this.type]=this.createProgram(t.context)),t.programCache[this.type]},applyToWebGL:function(t){var e=t.context,i=this.retrieveShader(t);0===t.pass&&t.originalTexture?e.bindTexture(e.TEXTURE_2D,t.originalTexture):e.bindTexture(e.TEXTURE_2D,t.sourceTexture),e.useProgram(i.program),this.sendAttributeData(e,i.attributeLocations,t.aPosition),e.uniform1f(i.uniformLocations.uStepW,1/t.sourceWidth),e.uniform1f(i.uniformLocations.uStepH,1/t.sourceHeight),this.sendUniformData(e,i.uniformLocations),e.viewport(0,0,t.destinationWidth,t.destinationHeight),e.drawArrays(e.TRIANGLE_STRIP,0,4)},bindAdditionalTexture:function(t,e,i){t.activeTexture(i),t.bindTexture(t.TEXTURE_2D,e),t.activeTexture(t.TEXTURE0)},unbindAdditionalTexture:function(t,e){t.activeTexture(e),t.bindTexture(t.TEXTURE_2D,null),t.activeTexture(t.TEXTURE0)},getMainParameter:function(){return this[this.mainParameter]},setMainParameter:function(t){this[this.mainParameter]=t},sendUniformData:function(){},createHelpLayer:function(t){if(!t.helpLayer){var e=document.createElement("canvas");e.width=t.sourceWidth,e.height=t.sourceHeight,t.helpLayer=e}},toObject:function(){var t={type:this.type},e=this.mainParameter;return e&&(t[e]=this[e]),t},toJSON:function(){return this.toObject()}}),fabric.Image.filters.BaseFilter.fromObject=function(t,e){var i=new fabric.Image.filters[t.type](t);return e&&e(i),i},function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.ColorMatrix=r(i.BaseFilter,{type:"ColorMatrix",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nvarying vec2 vTexCoord;\nuniform mat4 uColorMatrix;\nuniform vec4 uConstants;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\ncolor *= uColorMatrix;\ncolor += uConstants;\ngl_FragColor = color;\n}",matrix:[1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0],mainParameter:"matrix",colorsOnly:!0,initialize:function(t){this.callSuper("initialize",t),this.matrix=this.matrix.slice(0)},applyTo2d:function(t){var e,i,r,n,s,o=t.imageData.data,a=o.length,h=this.matrix,c=this.colorsOnly;for(s=0;s<a;s+=4)e=o[s],i=o[s+1],r=o[s+2],c?(o[s]=e*h[0]+i*h[1]+r*h[2]+255*h[4],o[s+1]=e*h[5]+i*h[6]+r*h[7]+255*h[9],o[s+2]=e*h[10]+i*h[11]+r*h[12]+255*h[14]):(n=o[s+3],o[s]=e*h[0]+i*h[1]+r*h[2]+n*h[3]+255*h[4],o[s+1]=e*h[5]+i*h[6]+r*h[7]+n*h[8]+255*h[9],o[s+2]=e*h[10]+i*h[11]+r*h[12]+n*h[13]+255*h[14],o[s+3]=e*h[15]+i*h[16]+r*h[17]+n*h[18]+255*h[19])},getUniformLocations:function(t,e){return{uColorMatrix:t.getUniformLocation(e,"uColorMatrix"),uConstants:t.getUniformLocation(e,"uConstants")}},sendUniformData:function(t,e){var i=this.matrix,r=[i[0],i[1],i[2],i[3],i[5],i[6],i[7],i[8],i[10],i[11],i[12],i[13],i[15],i[16],i[17],i[18]],n=[i[4],i[9],i[14],i[19]];t.uniformMatrix4fv(e.uColorMatrix,!1,r),t.uniform4fv(e.uConstants,n)}}),e.Image.filters.ColorMatrix.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.Brightness=r(i.BaseFilter,{type:"Brightness",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uBrightness;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\ncolor.rgb += uBrightness;\ngl_FragColor = color;\n}",brightness:0,mainParameter:"brightness",applyTo2d:function(t){if(0!==this.brightness){var e,i=t.imageData.data,r=i.length,n=Math.round(255*this.brightness);for(e=0;e<r;e+=4)i[e]=i[e]+n,i[e+1]=i[e+1]+n,i[e+2]=i[e+2]+n}},getUniformLocations:function(t,e){return{uBrightness:t.getUniformLocation(e,"uBrightness")}},sendUniformData:function(t,e){t.uniform1f(e.uBrightness,this.brightness)}}),e.Image.filters.Brightness.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.util.object.extend,r=e.Image.filters,n=e.util.createClass;r.Convolute=n(r.BaseFilter,{type:"Convolute",opaque:!1,matrix:[0,0,0,0,1,0,0,0,0],fragmentSource:{Convolute_3_1:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[9];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 0);\nfor (float h = 0.0; h < 3.0; h+=1.0) {\nfor (float w = 0.0; w < 3.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 1), uStepH * (h - 1));\ncolor += texture2D(uTexture, vTexCoord + matrixPos) * uMatrix[int(h * 3.0 + w)];\n}\n}\ngl_FragColor = color;\n}",Convolute_3_0:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[9];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 1);\nfor (float h = 0.0; h < 3.0; h+=1.0) {\nfor (float w = 0.0; w < 3.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 1.0), uStepH * (h - 1.0));\ncolor.rgb += texture2D(uTexture, vTexCoord + matrixPos).rgb * uMatrix[int(h * 3.0 + w)];\n}\n}\nfloat alpha = texture2D(uTexture, vTexCoord).a;\ngl_FragColor = color;\ngl_FragColor.a = alpha;\n}",Convolute_5_1:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[25];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 0);\nfor (float h = 0.0; h < 5.0; h+=1.0) {\nfor (float w = 0.0; w < 5.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 2.0), uStepH * (h - 2.0));\ncolor += texture2D(uTexture, vTexCoord + matrixPos) * uMatrix[int(h * 5.0 + w)];\n}\n}\ngl_FragColor = color;\n}",Convolute_5_0:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[25];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 1);\nfor (float h = 0.0; h < 5.0; h+=1.0) {\nfor (float w = 0.0; w < 5.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 2.0), uStepH * (h - 2.0));\ncolor.rgb += texture2D(uTexture, vTexCoord + matrixPos).rgb * uMatrix[int(h * 5.0 + w)];\n}\n}\nfloat alpha = texture2D(uTexture, vTexCoord).a;\ngl_FragColor = color;\ngl_FragColor.a = alpha;\n}",Convolute_7_1:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[49];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 0);\nfor (float h = 0.0; h < 7.0; h+=1.0) {\nfor (float w = 0.0; w < 7.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 3.0), uStepH * (h - 3.0));\ncolor += texture2D(uTexture, vTexCoord + matrixPos) * uMatrix[int(h * 7.0 + w)];\n}\n}\ngl_FragColor = color;\n}",Convolute_7_0:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[49];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 1);\nfor (float h = 0.0; h < 7.0; h+=1.0) {\nfor (float w = 0.0; w < 7.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 3.0), uStepH * (h - 3.0));\ncolor.rgb += texture2D(uTexture, vTexCoord + matrixPos).rgb * uMatrix[int(h * 7.0 + w)];\n}\n}\nfloat alpha = texture2D(uTexture, vTexCoord).a;\ngl_FragColor = color;\ngl_FragColor.a = alpha;\n}",Convolute_9_1:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[81];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 0);\nfor (float h = 0.0; h < 9.0; h+=1.0) {\nfor (float w = 0.0; w < 9.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 4.0), uStepH * (h - 4.0));\ncolor += texture2D(uTexture, vTexCoord + matrixPos) * uMatrix[int(h * 9.0 + w)];\n}\n}\ngl_FragColor = color;\n}",Convolute_9_0:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[81];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 1);\nfor (float h = 0.0; h < 9.0; h+=1.0) {\nfor (float w = 0.0; w < 9.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 4.0), uStepH * (h - 4.0));\ncolor.rgb += texture2D(uTexture, vTexCoord + matrixPos).rgb * uMatrix[int(h * 9.0 + w)];\n}\n}\nfloat alpha = texture2D(uTexture, vTexCoord).a;\ngl_FragColor = color;\ngl_FragColor.a = alpha;\n}"},retrieveShader:function(t){var e=Math.sqrt(this.matrix.length),i=this.type+"_"+e+"_"+(this.opaque?1:0),r=this.fragmentSource[i];return t.programCache.hasOwnProperty(i)||(t.programCache[i]=this.createProgram(t.context,r)),t.programCache[i]},applyTo2d:function(t){var e,i,r,n,s,o,a,h,c,l,u,f,d,g=t.imageData,p=g.data,v=this.matrix,m=Math.round(Math.sqrt(v.length)),b=Math.floor(m/2),y=g.width,_=g.height,x=t.ctx.createImageData(y,_),C=x.data,S=this.opaque?1:0;for(u=0;u<_;u++)for(l=0;l<y;l++){for(s=4*(u*y+l),d=n=r=i=e=0;d<m;d++)for(f=0;f<m;f++)o=l+f-b,(a=u+d-b)<0||_<=a||o<0||y<=o||(h=4*(a*y+o),c=v[d*m+f],e+=p[h]*c,i+=p[h+1]*c,r+=p[h+2]*c,S||(n+=p[h+3]*c));C[s]=e,C[s+1]=i,C[s+2]=r,C[s+3]=S?p[s+3]:n}t.imageData=x},getUniformLocations:function(t,e){return{uMatrix:t.getUniformLocation(e,"uMatrix"),uOpaque:t.getUniformLocation(e,"uOpaque"),uHalfSize:t.getUniformLocation(e,"uHalfSize"),uSize:t.getUniformLocation(e,"uSize")}},sendUniformData:function(t,e){t.uniform1fv(e.uMatrix,this.matrix)},toObject:function(){return i(this.callSuper("toObject"),{opaque:this.opaque,matrix:this.matrix})}}),e.Image.filters.Convolute.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.Grayscale=r(i.BaseFilter,{type:"Grayscale",fragmentSource:{average:"precision highp float;\nuniform sampler2D uTexture;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\nfloat average = (color.r + color.b + color.g) / 3.0;\ngl_FragColor = vec4(average, average, average, color.a);\n}",lightness:"precision highp float;\nuniform sampler2D uTexture;\nuniform int uMode;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 col = texture2D(uTexture, vTexCoord);\nfloat average = (max(max(col.r, col.g),col.b) + min(min(col.r, col.g),col.b)) / 2.0;\ngl_FragColor = vec4(average, average, average, col.a);\n}",luminosity:"precision highp float;\nuniform sampler2D uTexture;\nuniform int uMode;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 col = texture2D(uTexture, vTexCoord);\nfloat average = 0.21 * col.r + 0.72 * col.g + 0.07 * col.b;\ngl_FragColor = vec4(average, average, average, col.a);\n}"},mode:"average",mainParameter:"mode",applyTo2d:function(t){var e,i,r=t.imageData.data,n=r.length,s=this.mode;for(e=0;e<n;e+=4)"average"===s?i=(r[e]+r[e+1]+r[e+2])/3:"lightness"===s?i=(Math.min(r[e],r[e+1],r[e+2])+Math.max(r[e],r[e+1],r[e+2]))/2:"luminosity"===s&&(i=.21*r[e]+.72*r[e+1]+.07*r[e+2]),r[e]=i,r[e+1]=i,r[e+2]=i},retrieveShader:function(t){var e=this.type+"_"+this.mode;if(!t.programCache.hasOwnProperty(e)){var i=this.fragmentSource[this.mode];t.programCache[e]=this.createProgram(t.context,i)}return t.programCache[e]},getUniformLocations:function(t,e){return{uMode:t.getUniformLocation(e,"uMode")}},sendUniformData:function(t,e){t.uniform1i(e.uMode,1)},isNeutralState:function(){return!1}}),e.Image.filters.Grayscale.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.Invert=r(i.BaseFilter,{type:"Invert",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform int uInvert;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\nif (uInvert == 1) {\ngl_FragColor = vec4(1.0 - color.r,1.0 -color.g,1.0 -color.b,color.a);\n} else {\ngl_FragColor = color;\n}\n}",invert:!0,mainParameter:"invert",applyTo2d:function(t){var e,i=t.imageData.data,r=i.length;for(e=0;e<r;e+=4)i[e]=255-i[e],i[e+1]=255-i[e+1],i[e+2]=255-i[e+2]},isNeutralState:function(){return!this.invert},getUniformLocations:function(t,e){return{uInvert:t.getUniformLocation(e,"uInvert")}},sendUniformData:function(t,e){t.uniform1i(e.uInvert,this.invert)}}),e.Image.filters.Invert.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.util.object.extend,r=e.Image.filters,n=e.util.createClass;r.Noise=n(r.BaseFilter,{type:"Noise",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uStepH;\nuniform float uNoise;\nuniform float uSeed;\nvarying vec2 vTexCoord;\nfloat rand(vec2 co, float seed, float vScale) {\nreturn fract(sin(dot(co.xy * vScale ,vec2(12.9898 , 78.233))) * 43758.5453 * (seed + 0.01) / 2.0);\n}\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\ncolor.rgb += (0.5 - rand(vTexCoord, uSeed, 0.1 / uStepH)) * uNoise;\ngl_FragColor = color;\n}",mainParameter:"noise",noise:0,applyTo2d:function(t){if(0!==this.noise){var e,i,r=t.imageData.data,n=r.length,s=this.noise;for(e=0,n=r.length;e<n;e+=4)i=(.5-Math.random())*s,r[e]+=i,r[e+1]+=i,r[e+2]+=i}},getUniformLocations:function(t,e){return{uNoise:t.getUniformLocation(e,"uNoise"),uSeed:t.getUniformLocation(e,"uSeed")}},sendUniformData:function(t,e){t.uniform1f(e.uNoise,this.noise/255),t.uniform1f(e.uSeed,Math.random())},toObject:function(){return i(this.callSuper("toObject"),{noise:this.noise})}}),e.Image.filters.Noise.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.Pixelate=r(i.BaseFilter,{type:"Pixelate",blocksize:4,mainParameter:"blocksize",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uBlocksize;\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nfloat blockW = uBlocksize * uStepW;\nfloat blockH = uBlocksize * uStepW;\nint posX = int(vTexCoord.x / blockW);\nint posY = int(vTexCoord.y / blockH);\nfloat fposX = float(posX);\nfloat fposY = float(posY);\nvec2 squareCoords = vec2(fposX * blockW, fposY * blockH);\nvec4 color = texture2D(uTexture, squareCoords);\ngl_FragColor = color;\n}",applyTo2d:function(t){var e,i,r,n,s,o,a,h,c,l,u,f=t.imageData,d=f.data,g=f.height,p=f.width;for(i=0;i<g;i+=this.blocksize)for(r=0;r<p;r+=this.blocksize)for(n=d[e=4*i*p+4*r],s=d[e+1],o=d[e+2],a=d[e+3],l=Math.min(i+this.blocksize,g),u=Math.min(r+this.blocksize,p),h=i;h<l;h++)for(c=r;c<u;c++)d[e=4*h*p+4*c]=n,d[e+1]=s,d[e+2]=o,d[e+3]=a},isNeutralState:function(){return 1===this.blocksize},getUniformLocations:function(t,e){return{uBlocksize:t.getUniformLocation(e,"uBlocksize"),uStepW:t.getUniformLocation(e,"uStepW"),uStepH:t.getUniformLocation(e,"uStepH")}},sendUniformData:function(t,e){t.uniform1f(e.uBlocksize,this.blocksize)}}),e.Image.filters.Pixelate.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var l=t.fabric||(t.fabric={}),e=l.util.object.extend,i=l.Image.filters,r=l.util.createClass;i.RemoveColor=r(i.BaseFilter,{type:"RemoveColor",color:"#FFFFFF",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform vec4 uLow;\nuniform vec4 uHigh;\nvarying vec2 vTexCoord;\nvoid main() {\ngl_FragColor = texture2D(uTexture, vTexCoord);\nif(all(greaterThan(gl_FragColor.rgb,uLow.rgb)) && all(greaterThan(uHigh.rgb,gl_FragColor.rgb))) {\ngl_FragColor.a = 0.0;\n}\n}",distance:.02,useAlpha:!1,applyTo2d:function(t){var e,i,r,n,s=t.imageData.data,o=255*this.distance,a=new l.Color(this.color).getSource(),h=[a[0]-o,a[1]-o,a[2]-o],c=[a[0]+o,a[1]+o,a[2]+o];for(e=0;e<s.length;e+=4)i=s[e],r=s[e+1],n=s[e+2],h[0]<i&&h[1]<r&&h[2]<n&&i<c[0]&&r<c[1]&&n<c[2]&&(s[e+3]=0)},getUniformLocations:function(t,e){return{uLow:t.getUniformLocation(e,"uLow"),uHigh:t.getUniformLocation(e,"uHigh")}},sendUniformData:function(t,e){var i=new l.Color(this.color).getSource(),r=parseFloat(this.distance),n=[0+i[0]/255-r,0+i[1]/255-r,0+i[2]/255-r,1],s=[i[0]/255+r,i[1]/255+r,i[2]/255+r,1];t.uniform4fv(e.uLow,n),t.uniform4fv(e.uHigh,s)},toObject:function(){return e(this.callSuper("toObject"),{color:this.color,distance:this.distance})}}),l.Image.filters.RemoveColor.fromObject=l.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass,n={Brownie:[.5997,.34553,-.27082,0,.186,-.0377,.86095,.15059,0,-.1449,.24113,-.07441,.44972,0,-.02965,0,0,0,1,0],Vintage:[.62793,.32021,-.03965,0,.03784,.02578,.64411,.03259,0,.02926,.0466,-.08512,.52416,0,.02023,0,0,0,1,0],Kodachrome:[1.12855,-.39673,-.03992,0,.24991,-.16404,1.08352,-.05498,0,.09698,-.16786,-.56034,1.60148,0,.13972,0,0,0,1,0],Technicolor:[1.91252,-.85453,-.09155,0,.04624,-.30878,1.76589,-.10601,0,-.27589,-.2311,-.75018,1.84759,0,.12137,0,0,0,1,0],Polaroid:[1.438,-.062,-.062,0,0,-.122,1.378,-.122,0,0,-.016,-.016,1.483,0,0,0,0,0,1,0],Sepia:[.393,.769,.189,0,0,.349,.686,.168,0,0,.272,.534,.131,0,0,0,0,0,1,0],BlackWhite:[1.5,1.5,1.5,0,-1,1.5,1.5,1.5,0,-1,1.5,1.5,1.5,0,-1,0,0,0,1,0]};for(var s in n)i[s]=r(i.ColorMatrix,{type:s,matrix:n[s],mainParameter:!1,colorsOnly:!0}),e.Image.filters[s].fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var f=t.fabric,e=f.Image.filters,i=f.util.createClass;e.BlendColor=i(e.BaseFilter,{type:"BlendColor",color:"#F95C63",mode:"multiply",alpha:1,fragmentSource:{multiply:"gl_FragColor.rgb *= uColor.rgb;\n",screen:"gl_FragColor.rgb = 1.0 - (1.0 - gl_FragColor.rgb) * (1.0 - uColor.rgb);\n",add:"gl_FragColor.rgb += uColor.rgb;\n",diff:"gl_FragColor.rgb = abs(gl_FragColor.rgb - uColor.rgb);\n",subtract:"gl_FragColor.rgb -= uColor.rgb;\n",lighten:"gl_FragColor.rgb = max(gl_FragColor.rgb, uColor.rgb);\n",darken:"gl_FragColor.rgb = min(gl_FragColor.rgb, uColor.rgb);\n",exclusion:"gl_FragColor.rgb += uColor.rgb - 2.0 * (uColor.rgb * gl_FragColor.rgb);\n",overlay:"if (uColor.r < 0.5) {\ngl_FragColor.r *= 2.0 * uColor.r;\n} else {\ngl_FragColor.r = 1.0 - 2.0 * (1.0 - gl_FragColor.r) * (1.0 - uColor.r);\n}\nif (uColor.g < 0.5) {\ngl_FragColor.g *= 2.0 * uColor.g;\n} else {\ngl_FragColor.g = 1.0 - 2.0 * (1.0 - gl_FragColor.g) * (1.0 - uColor.g);\n}\nif (uColor.b < 0.5) {\ngl_FragColor.b *= 2.0 * uColor.b;\n} else {\ngl_FragColor.b = 1.0 - 2.0 * (1.0 - gl_FragColor.b) * (1.0 - uColor.b);\n}\n",tint:"gl_FragColor.rgb *= (1.0 - uColor.a);\ngl_FragColor.rgb += uColor.rgb;\n"},buildSource:function(t){return"precision highp float;\nuniform sampler2D uTexture;\nuniform vec4 uColor;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\ngl_FragColor = color;\nif (color.a > 0.0) {\n"+this.fragmentSource[t]+"}\n}"},retrieveShader:function(t){var e,i=this.type+"_"+this.mode;return t.programCache.hasOwnProperty(i)||(e=this.buildSource(this.mode),t.programCache[i]=this.createProgram(t.context,e)),t.programCache[i]},applyTo2d:function(t){var e,i,r,n,s,o,a,h=t.imageData.data,c=h.length,l=1-this.alpha;e=(a=new f.Color(this.color).getSource())[0]*this.alpha,i=a[1]*this.alpha,r=a[2]*this.alpha;for(var u=0;u<c;u+=4)switch(n=h[u],s=h[u+1],o=h[u+2],this.mode){case"multiply":h[u]=n*e/255,h[u+1]=s*i/255,h[u+2]=o*r/255;break;case"screen":h[u]=255-(255-n)*(255-e)/255,h[u+1]=255-(255-s)*(255-i)/255,h[u+2]=255-(255-o)*(255-r)/255;break;case"add":h[u]=n+e,h[u+1]=s+i,h[u+2]=o+r;break;case"diff":case"difference":h[u]=Math.abs(n-e),h[u+1]=Math.abs(s-i),h[u+2]=Math.abs(o-r);break;case"subtract":h[u]=n-e,h[u+1]=s-i,h[u+2]=o-r;break;case"darken":h[u]=Math.min(n,e),h[u+1]=Math.min(s,i),h[u+2]=Math.min(o,r);break;case"lighten":h[u]=Math.max(n,e),h[u+1]=Math.max(s,i),h[u+2]=Math.max(o,r);break;case"overlay":h[u]=e<128?2*n*e/255:255-2*(255-n)*(255-e)/255,h[u+1]=i<128?2*s*i/255:255-2*(255-s)*(255-i)/255,h[u+2]=r<128?2*o*r/255:255-2*(255-o)*(255-r)/255;break;case"exclusion":h[u]=e+n-2*e*n/255,h[u+1]=i+s-2*i*s/255,h[u+2]=r+o-2*r*o/255;break;case"tint":h[u]=e+n*l,h[u+1]=i+s*l,h[u+2]=r+o*l}},getUniformLocations:function(t,e){return{uColor:t.getUniformLocation(e,"uColor")}},sendUniformData:function(t,e){var i=new f.Color(this.color).getSource();i[0]=this.alpha*i[0]/255,i[1]=this.alpha*i[1]/255,i[2]=this.alpha*i[2]/255,i[3]=this.alpha,t.uniform4fv(e.uColor,i)},toObject:function(){return{type:this.type,color:this.color,mode:this.mode,alpha:this.alpha}}}),f.Image.filters.BlendColor.fromObject=f.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var _=t.fabric,e=_.Image.filters,i=_.util.createClass;e.BlendImage=i(e.BaseFilter,{type:"BlendImage",image:null,mode:"multiply",alpha:1,vertexSource:"attribute vec2 aPosition;\nvarying vec2 vTexCoord;\nvarying vec2 vTexCoord2;\nuniform mat3 uTransformMatrix;\nvoid main() {\nvTexCoord = aPosition;\nvTexCoord2 = (uTransformMatrix * vec3(aPosition, 1.0)).xy;\ngl_Position = vec4(aPosition * 2.0 - 1.0, 0.0, 1.0);\n}",fragmentSource:{multiply:"precision highp float;\nuniform sampler2D uTexture;\nuniform sampler2D uImage;\nuniform vec4 uColor;\nvarying vec2 vTexCoord;\nvarying vec2 vTexCoord2;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\nvec4 color2 = texture2D(uImage, vTexCoord2);\ncolor.rgba *= color2.rgba;\ngl_FragColor = color;\n}",mask:"precision highp float;\nuniform sampler2D uTexture;\nuniform sampler2D uImage;\nuniform vec4 uColor;\nvarying vec2 vTexCoord;\nvarying vec2 vTexCoord2;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\nvec4 color2 = texture2D(uImage, vTexCoord2);\ncolor.a = color2.a;\ngl_FragColor = color;\n}"},retrieveShader:function(t){var e=this.type+"_"+this.mode,i=this.fragmentSource[this.mode];return t.programCache.hasOwnProperty(e)||(t.programCache[e]=this.createProgram(t.context,i)),t.programCache[e]},applyToWebGL:function(t){var e=t.context,i=this.createTexture(t.filterBackend,this.image);this.bindAdditionalTexture(e,i,e.TEXTURE1),this.callSuper("applyToWebGL",t),this.unbindAdditionalTexture(e,e.TEXTURE1)},createTexture:function(t,e){return t.getCachedTexture(e.cacheKey,e._element)},calculateMatrix:function(){var t=this.image,e=t._element.width,i=t._element.height;return[1/t.scaleX,0,0,0,1/t.scaleY,0,-t.left/e,-t.top/i,1]},applyTo2d:function(t){var e,i,r,n,s,o,a,h,c,l,u,f=t.imageData,d=t.filterBackend.resources,g=f.data,p=g.length,v=f.width,m=f.height,b=this.image;d.blendImage||(d.blendImage=_.util.createCanvasElement()),l=(c=d.blendImage).getContext("2d"),c.width!==v||c.height!==m?(c.width=v,c.height=m):l.clearRect(0,0,v,m),l.setTransform(b.scaleX,0,0,b.scaleY,b.left,b.top),l.drawImage(b._element,0,0,v,m),u=l.getImageData(0,0,v,m).data;for(var y=0;y<p;y+=4)switch(s=g[y],o=g[y+1],a=g[y+2],h=g[y+3],e=u[y],i=u[y+1],r=u[y+2],n=u[y+3],this.mode){case"multiply":g[y]=s*e/255,g[y+1]=o*i/255,g[y+2]=a*r/255,g[y+3]=h*n/255;break;case"mask":g[y+3]=n}},getUniformLocations:function(t,e){return{uTransformMatrix:t.getUniformLocation(e,"uTransformMatrix"),uImage:t.getUniformLocation(e,"uImage")}},sendUniformData:function(t,e){var i=this.calculateMatrix();t.uniform1i(e.uImage,1),t.uniformMatrix3fv(e.uTransformMatrix,!1,i)},toObject:function(){return{type:this.type,image:this.image&&this.image.toObject(),mode:this.mode,alpha:this.alpha}}}),_.Image.filters.BlendImage.fromObject=function(i,r){_.Image.fromObject(i.image,function(t){var e=_.util.object.clone(i);e.image=t,r(new _.Image.filters.BlendImage(e))})}}("undefined"!=typeof exports?exports:this),function(t){"use strict";var m=t.fabric||(t.fabric={}),A=Math.pow,j=Math.floor,M=Math.sqrt,F=Math.abs,c=Math.round,r=Math.sin,I=Math.ceil,e=m.Image.filters,i=m.util.createClass;e.Resize=i(e.BaseFilter,{type:"Resize",resizeType:"hermite",scaleX:1,scaleY:1,lanczosLobes:3,getUniformLocations:function(t,e){return{uDelta:t.getUniformLocation(e,"uDelta"),uTaps:t.getUniformLocation(e,"uTaps")}},sendUniformData:function(t,e){t.uniform2fv(e.uDelta,this.horizontal?[1/this.width,0]:[0,1/this.height]),t.uniform1fv(e.uTaps,this.taps)},retrieveShader:function(t){var e=this.getFilterWindow(),i=this.type+"_"+e;if(!t.programCache.hasOwnProperty(i)){var r=this.generateShader(e);t.programCache[i]=this.createProgram(t.context,r)}return t.programCache[i]},getFilterWindow:function(){var t=this.tempScale;return Math.ceil(this.lanczosLobes/t)},getTaps:function(){for(var t=this.lanczosCreate(this.lanczosLobes),e=this.tempScale,i=this.getFilterWindow(),r=new Array(i),n=1;n<=i;n++)r[n-1]=t(n*e);return r},generateShader:function(t){for(var e=new Array(t),i=this.fragmentSourceTOP,r=1;r<=t;r++)e[r-1]=r+".0 * uDelta";return i+="uniform float uTaps["+t+"];\n",i+="void main() {\n",i+="  vec4 color = texture2D(uTexture, vTexCoord);\n",i+="  float sum = 1.0;\n",e.forEach(function(t,e){i+="  color += texture2D(uTexture, vTexCoord + "+t+") * uTaps["+e+"];\n",i+="  color += texture2D(uTexture, vTexCoord - "+t+") * uTaps["+e+"];\n",i+="  sum += 2.0 * uTaps["+e+"];\n"}),i+="  gl_FragColor = color / sum;\n",i+="}"},fragmentSourceTOP:"precision highp float;\nuniform sampler2D uTexture;\nuniform vec2 uDelta;\nvarying vec2 vTexCoord;\n",applyTo:function(t){t.webgl?(t.passes++,this.width=t.sourceWidth,this.horizontal=!0,this.dW=Math.round(this.width*this.scaleX),this.dH=t.sourceHeight,this.tempScale=this.dW/this.width,this.taps=this.getTaps(),t.destinationWidth=this.dW,this._setupFrameBuffer(t),this.applyToWebGL(t),this._swapTextures(t),t.sourceWidth=t.destinationWidth,this.height=t.sourceHeight,this.horizontal=!1,this.dH=Math.round(this.height*this.scaleY),this.tempScale=this.dH/this.height,this.taps=this.getTaps(),t.destinationHeight=this.dH,this._setupFrameBuffer(t),this.applyToWebGL(t),this._swapTextures(t),t.sourceHeight=t.destinationHeight):this.applyTo2d(t)},isNeutralState:function(){return 1===this.scaleX&&1===this.scaleY},lanczosCreate:function(i){return function(t){if(i<=t||t<=-i)return 0;if(t<1.1920929e-7&&-1.1920929e-7<t)return 1;var e=(t*=Math.PI)/i;return r(t)/t*r(e)/e}},applyTo2d:function(t){var e=t.imageData,i=this.scaleX,r=this.scaleY;this.rcpScaleX=1/i,this.rcpScaleY=1/r;var n,s=e.width,o=e.height,a=c(s*i),h=c(o*r);"sliceHack"===this.resizeType?n=this.sliceByTwo(t,s,o,a,h):"hermite"===this.resizeType?n=this.hermiteFastResize(t,s,o,a,h):"bilinear"===this.resizeType?n=this.bilinearFiltering(t,s,o,a,h):"lanczos"===this.resizeType&&(n=this.lanczosResize(t,s,o,a,h)),t.imageData=n},sliceByTwo:function(t,e,i,r,n){var s,o,a=t.imageData,h=!1,c=!1,l=.5*e,u=.5*i,f=m.filterBackend.resources,d=0,g=0,p=e,v=0;for(f.sliceByTwo||(f.sliceByTwo=document.createElement("canvas")),((s=f.sliceByTwo).width<1.5*e||s.height<i)&&(s.width=1.5*e,s.height=i),(o=s.getContext("2d")).clearRect(0,0,1.5*e,i),o.putImageData(a,0,0),r=j(r),n=j(n);!h||!c;)i=u,r<j(.5*(e=l))?l=j(.5*l):(l=r,h=!0),n<j(.5*u)?u=j(.5*u):(u=n,c=!0),o.drawImage(s,d,g,e,i,p,v,l,u),d=p,g=v,v+=u;return o.getImageData(d,g,r,n)},lanczosResize:function(t,g,p,v,m){var b=t.imageData.data,y=t.ctx.createImageData(v,m),_=y.data,x=this.lanczosCreate(this.lanczosLobes),C=this.rcpScaleX,S=this.rcpScaleY,T=2/this.rcpScaleX,w=2/this.rcpScaleY,O=I(C*this.lanczosLobes/2),k=I(S*this.lanczosLobes/2),P={},D={},E={};return function t(e){var i,r,n,s,o,a,h,c,l,u,f;for(D.x=(e+.5)*C,E.x=j(D.x),i=0;i<m;i++){for(D.y=(i+.5)*S,E.y=j(D.y),l=c=h=a=o=0,r=E.x-O;r<=E.x+O;r++)if(!(r<0||g<=r)){u=j(1e3*F(r-D.x)),P[u]||(P[u]={});for(var d=E.y-k;d<=E.y+k;d++)d<0||p<=d||(f=j(1e3*F(d-D.y)),P[u][f]||(P[u][f]=x(M(A(u*T,2)+A(f*w,2))/1e3)),0<(n=P[u][f])&&(o+=n,a+=n*b[s=4*(d*g+r)],h+=n*b[s+1],c+=n*b[s+2],l+=n*b[s+3]))}_[s=4*(i*v+e)]=a/o,_[s+1]=h/o,_[s+2]=c/o,_[s+3]=l/o}return++e<v?t(e):y}(0)},bilinearFiltering:function(t,e,i,r,n){var s,o,a,h,c,l,u,f,d,g=0,p=this.rcpScaleX,v=this.rcpScaleY,m=4*(e-1),b=t.imageData.data,y=t.ctx.createImageData(r,n),_=y.data;for(a=0;a<n;a++)for(h=0;h<r;h++)for(c=p*h-(s=j(p*h)),l=v*a-(o=j(v*a)),d=4*(o*e+s),u=0;u<4;u++)f=b[d+u]*(1-c)*(1-l)+b[d+4+u]*c*(1-l)+b[d+m+u]*l*(1-c)+b[d+m+4+u]*c*l,_[g++]=f;return y},hermiteFastResize:function(t,e,i,r,n){for(var s=this.rcpScaleX,o=this.rcpScaleY,a=I(s/2),h=I(o/2),c=t.imageData.data,l=t.ctx.createImageData(r,n),u=l.data,f=0;f<n;f++)for(var d=0;d<r;d++){for(var g=4*(d+f*r),p=0,v=0,m=0,b=0,y=0,_=0,x=0,C=(f+.5)*o,S=j(f*o);S<(f+1)*o;S++)for(var T=F(C-(S+.5))/h,w=(d+.5)*s,O=T*T,k=j(d*s);k<(d+1)*s;k++){var P=F(w-(k+.5))/a,D=M(O+P*P);1<D&&D<-1||0<(p=2*D*D*D-3*D*D+1)&&(x+=p*c[(P=4*(k+S*e))+3],m+=p,c[P+3]<255&&(p=p*c[P+3]/250),b+=p*c[P],y+=p*c[P+1],_+=p*c[P+2],v+=p)}u[g]=b/v,u[g+1]=y/v,u[g+2]=_/v,u[g+3]=x/m}return l},toObject:function(){return{type:this.type,scaleX:this.scaleX,scaleY:this.scaleY,resizeType:this.resizeType,lanczosLobes:this.lanczosLobes}}}),m.Image.filters.Resize.fromObject=m.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.Contrast=r(i.BaseFilter,{type:"Contrast",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uContrast;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\nfloat contrastF = 1.015 * (uContrast + 1.0) / (1.0 * (1.015 - uContrast));\ncolor.rgb = contrastF * (color.rgb - 0.5) + 0.5;\ngl_FragColor = color;\n}",contrast:0,mainParameter:"contrast",applyTo2d:function(t){if(0!==this.contrast){var e,i=t.imageData.data,r=i.length,n=Math.floor(255*this.contrast),s=259*(n+255)/(255*(259-n));for(e=0;e<r;e+=4)i[e]=s*(i[e]-128)+128,i[e+1]=s*(i[e+1]-128)+128,i[e+2]=s*(i[e+2]-128)+128}},getUniformLocations:function(t,e){return{uContrast:t.getUniformLocation(e,"uContrast")}},sendUniformData:function(t,e){t.uniform1f(e.uContrast,this.contrast)}}),e.Image.filters.Contrast.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.Saturation=r(i.BaseFilter,{type:"Saturation",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uSaturation;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\nfloat rgMax = max(color.r, color.g);\nfloat rgbMax = max(rgMax, color.b);\ncolor.r += rgbMax != color.r ? (rgbMax - color.r) * uSaturation : 0.00;\ncolor.g += rgbMax != color.g ? (rgbMax - color.g) * uSaturation : 0.00;\ncolor.b += rgbMax != color.b ? (rgbMax - color.b) * uSaturation : 0.00;\ngl_FragColor = color;\n}",saturation:0,mainParameter:"saturation",applyTo2d:function(t){if(0!==this.saturation){var e,i,r=t.imageData.data,n=r.length,s=-this.saturation;for(e=0;e<n;e+=4)i=Math.max(r[e],r[e+1],r[e+2]),r[e]+=i!==r[e]?(i-r[e])*s:0,r[e+1]+=i!==r[e+1]?(i-r[e+1])*s:0,r[e+2]+=i!==r[e+2]?(i-r[e+2])*s:0}},getUniformLocations:function(t,e){return{uSaturation:t.getUniformLocation(e,"uSaturation")}},sendUniformData:function(t,e){t.uniform1f(e.uSaturation,-this.saturation)}}),e.Image.filters.Saturation.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var g=t.fabric||(t.fabric={}),e=g.Image.filters,i=g.util.createClass;e.Blur=i(e.BaseFilter,{type:"Blur",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform vec2 uDelta;\nvarying vec2 vTexCoord;\nconst float nSamples = 15.0;\nvec3 v3offset = vec3(12.9898, 78.233, 151.7182);\nfloat random(vec3 scale) {\nreturn fract(sin(dot(gl_FragCoord.xyz, scale)) * 43758.5453);\n}\nvoid main() {\nvec4 color = vec4(0.0);\nfloat total = 0.0;\nfloat offset = random(v3offset);\nfor (float t = -nSamples; t <= nSamples; t++) {\nfloat percent = (t + offset - 0.5) / nSamples;\nfloat weight = 1.0 - abs(percent);\ncolor += texture2D(uTexture, vTexCoord + uDelta * percent) * weight;\ntotal += weight;\n}\ngl_FragColor = color / total;\n}",blur:0,mainParameter:"blur",applyTo:function(t){t.webgl?(this.aspectRatio=t.sourceWidth/t.sourceHeight,t.passes++,this._setupFrameBuffer(t),this.horizontal=!0,this.applyToWebGL(t),this._swapTextures(t),this._setupFrameBuffer(t),this.horizontal=!1,this.applyToWebGL(t),this._swapTextures(t)):this.applyTo2d(t)},applyTo2d:function(t){t.imageData=this.simpleBlur(t)},simpleBlur:function(t){var e,i,r=t.filterBackend.resources,n=t.imageData.width,s=t.imageData.height;r.blurLayer1||(r.blurLayer1=g.util.createCanvasElement(),r.blurLayer2=g.util.createCanvasElement()),e=r.blurLayer1,i=r.blurLayer2,e.width===n&&e.height===s||(i.width=e.width=n,i.height=e.height=s);var o,a,h,c,l=e.getContext("2d"),u=i.getContext("2d"),f=.06*this.blur*.5;for(l.putImageData(t.imageData,0,0),u.clearRect(0,0,n,s),c=-15;c<=15;c++)h=f*(a=c/15)*n+(o=(Math.random()-.5)/4),u.globalAlpha=1-Math.abs(a),u.drawImage(e,h,o),l.drawImage(i,0,0),u.globalAlpha=1,u.clearRect(0,0,i.width,i.height);for(c=-15;c<=15;c++)h=f*(a=c/15)*s+(o=(Math.random()-.5)/4),u.globalAlpha=1-Math.abs(a),u.drawImage(e,o,h),l.drawImage(i,0,0),u.globalAlpha=1,u.clearRect(0,0,i.width,i.height);t.ctx.drawImage(e,0,0);var d=t.ctx.getImageData(0,0,e.width,e.height);return l.globalAlpha=1,l.clearRect(0,0,e.width,e.height),d},getUniformLocations:function(t,e){return{delta:t.getUniformLocation(e,"uDelta")}},sendUniformData:function(t,e){var i=this.chooseRightDelta();t.uniform2fv(e.delta,i)},chooseRightDelta:function(){var t,e=1,i=[0,0];return this.horizontal?1<this.aspectRatio&&(e=1/this.aspectRatio):this.aspectRatio<1&&(e=this.aspectRatio),t=e*this.blur*.12,this.horizontal?i[0]=t:i[1]=t,i}}),e.Blur.fromObject=g.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.Gamma=r(i.BaseFilter,{type:"Gamma",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform vec3 uGamma;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\nvec3 correction = (1.0 / uGamma);\ncolor.r = pow(color.r, correction.r);\ncolor.g = pow(color.g, correction.g);\ncolor.b = pow(color.b, correction.b);\ngl_FragColor = color;\ngl_FragColor.rgb *= color.a;\n}",gamma:[1,1,1],mainParameter:"gamma",initialize:function(t){this.gamma=[1,1,1],i.BaseFilter.prototype.initialize.call(this,t)},applyTo2d:function(t){var e,i=t.imageData.data,r=this.gamma,n=i.length,s=1/r[0],o=1/r[1],a=1/r[2];for(this.rVals||(this.rVals=new Uint8Array(256),this.gVals=new Uint8Array(256),this.bVals=new Uint8Array(256)),e=0,n=256;e<n;e++)this.rVals[e]=255*Math.pow(e/255,s),this.gVals[e]=255*Math.pow(e/255,o),this.bVals[e]=255*Math.pow(e/255,a);for(e=0,n=i.length;e<n;e+=4)i[e]=this.rVals[i[e]],i[e+1]=this.gVals[i[e+1]],i[e+2]=this.bVals[i[e+2]]},getUniformLocations:function(t,e){return{uGamma:t.getUniformLocation(e,"uGamma")}},sendUniformData:function(t,e){t.uniform3fv(e.uGamma,this.gamma)}}),e.Image.filters.Gamma.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var n=t.fabric||(t.fabric={}),e=n.Image.filters,i=n.util.createClass;e.Composed=i(e.BaseFilter,{type:"Composed",subFilters:[],initialize:function(t){this.callSuper("initialize",t),this.subFilters=this.subFilters.slice(0)},applyTo:function(e){e.passes+=this.subFilters.length-1,this.subFilters.forEach(function(t){t.applyTo(e)})},toObject:function(){return n.util.object.extend(this.callSuper("toObject"),{subFilters:this.subFilters.map(function(t){return t.toObject()})})},isNeutralState:function(){return!this.subFilters.some(function(t){return!t.isNeutralState()})}}),n.Image.filters.Composed.fromObject=function(t,e){var i=(t.subFilters||[]).map(function(t){return new n.Image.filters[t.type](t)}),r=new n.Image.filters.Composed({subFilters:i});return e&&e(r),r}}("undefined"!=typeof exports?exports:this),function(t){"use strict";var s=t.fabric||(t.fabric={}),e=s.Image.filters,i=s.util.createClass;e.HueRotation=i(e.ColorMatrix,{type:"HueRotation",rotation:0,mainParameter:"rotation",calculateMatrix:function(){var t=this.rotation*Math.PI,e=s.util.cos(t),i=s.util.sin(t),r=Math.sqrt(1/3)*i,n=1-e;this.matrix=[1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0],this.matrix[0]=e+n/3,this.matrix[1]=1/3*n-r,this.matrix[2]=1/3*n+r,this.matrix[5]=1/3*n+r,this.matrix[6]=e+1/3*n,this.matrix[7]=1/3*n-r,this.matrix[10]=1/3*n-r,this.matrix[11]=1/3*n+r,this.matrix[12]=e+1/3*n},isNeutralState:function(t){return this.calculateMatrix(),e.BaseFilter.prototype.isNeutralState.call(this,t)},applyTo:function(t){this.calculateMatrix(),e.BaseFilter.prototype.applyTo.call(this,t)}}),s.Image.filters.HueRotation.fromObject=s.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var d=t.fabric||(t.fabric={}),g=d.util.object.clone;if(d.Text)d.warn("fabric.Text is already defined");else{var e="fontFamily fontWeight fontSize text underline overline linethrough textAlign fontStyle lineHeight textBackgroundColor charSpacing styles path".split(" ");d.Text=d.util.createClass(d.Object,{_dimensionAffectingProps:["fontSize","fontWeight","fontFamily","fontStyle","lineHeight","text","charSpacing","textAlign","styles","path"],_reNewline:/\r?\n/,_reSpacesAndTabs:/[ \t\r]/g,_reSpaceAndTab:/[ \t\r]/,_reWords:/\S+/g,type:"text",fontSize:40,fontWeight:"normal",fontFamily:"Times New Roman",underline:!1,overline:!1,linethrough:!1,textAlign:"left",fontStyle:"normal",lineHeight:1.16,superscript:{size:.6,baseline:-.35},subscript:{size:.6,baseline:.11},textBackgroundColor:"",stateProperties:d.Object.prototype.stateProperties.concat(e),cacheProperties:d.Object.prototype.cacheProperties.concat(e),stroke:null,shadow:null,_fontSizeFraction:.222,offsets:{underline:.1,linethrough:-.315,overline:-.88},_fontSizeMult:1.13,charSpacing:0,styles:null,_measuringContext:null,deltaY:0,_styleProperties:["stroke","strokeWidth","fill","fontFamily","fontSize","fontWeight","fontStyle","underline","overline","linethrough","deltaY","textBackgroundColor"],__charBounds:[],CACHE_FONT_SIZE:400,MIN_TEXT_WIDTH:2,initialize:function(t,e){this.styles=e&&e.styles||{},this.text=t,this.__skipDimension=!0,this.callSuper("initialize",e),this.path&&this.setPathInfo(),this.__skipDimension=!1,this.initDimensions(),this.setCoords(),this.setupState({propertySet:"_dimensionAffectingProps"})},setPathInfo:function(){var t=this.path;t&&(t.segmentsInfo=d.util.getPathSegmentsInfo(t.path))},getMeasuringContext:function(){return d._measuringContext||(d._measuringContext=this.canvas&&this.canvas.contextCache||d.util.createCanvasElement().getContext("2d")),d._measuringContext},_splitText:function(){var t=this._splitTextIntoLines(this.text);return this.textLines=t.lines,this._textLines=t.graphemeLines,this._unwrappedTextLines=t._unwrappedLines,this._text=t.graphemeText,t},initDimensions:function(){this.__skipDimension||(this._splitText(),this._clearCache(),this.path?(this.width=this.path.width,this.height=this.path.height):(this.width=this.calcTextWidth()||this.cursorWidth||this.MIN_TEXT_WIDTH,this.height=this.calcTextHeight()),-1!==this.textAlign.indexOf("justify")&&this.enlargeSpaces(),this.saveState({propertySet:"_dimensionAffectingProps"}))},enlargeSpaces:function(){for(var t,e,i,r,n,s,o,a=0,h=this._textLines.length;a<h;a++)if(("justify"===this.textAlign||a!==h-1&&!this.isEndOfWrapping(a))&&(r=0,n=this._textLines[a],(e=this.getLineWidth(a))<this.width&&(o=this.textLines[a].match(this._reSpacesAndTabs)))){i=o.length,t=(this.width-e)/i;for(var c=0,l=n.length;c<=l;c++)s=this.__charBounds[a][c],this._reSpaceAndTab.test(n[c])?(s.width+=t,s.kernedWidth+=t,s.left+=r,r+=t):s.left+=r}},isEndOfWrapping:function(t){return t===this._textLines.length-1},missingNewlineOffset:function(){return 1},toString:function(){return"#<fabric.Text ("+this.complexity()+'): { "text": "'+this.text+'", "fontFamily": "'+this.fontFamily+'" }>'},_getCacheCanvasDimensions:function(){var t=this.callSuper("_getCacheCanvasDimensions"),e=this.fontSize;return t.width+=e*t.zoomX,t.height+=e*t.zoomY,t},_render:function(t){this._setTextStyles(t),this._renderTextLinesBackground(t),this._renderTextDecoration(t,"underline"),this._renderText(t),this._renderTextDecoration(t,"overline"),this._renderTextDecoration(t,"linethrough")},_renderText:function(t){"stroke"===this.paintFirst?(this._renderTextStroke(t),this._renderTextFill(t)):(this._renderTextFill(t),this._renderTextStroke(t))},_setTextStyles:function(t,e,i){t.textBaseline="alphabetic",t.font=this._getFontDeclaration(e,i)},calcTextWidth:function(){for(var t=this.getLineWidth(0),e=1,i=this._textLines.length;e<i;e++){var r=this.getLineWidth(e);t<r&&(t=r)}return t},_renderTextLine:function(t,e,i,r,n,s){this._renderChars(t,e,i,r,n,s)},_renderTextLinesBackground:function(t){if(this.textBackgroundColor||this.styleHas("textBackgroundColor")){for(var e,i,r,n,s,o,a=t.fillStyle,h=this._getLeftOffset(),c=this._getTopOffset(),l=0,u=0,f=this.path,d=0,g=this._textLines.length;d<g;d++)if(e=this.getHeightOfLine(d),this.textBackgroundColor||this.styleHas("textBackgroundColor",d)){r=this._textLines[d],i=this._getLineLeftOffset(d),l=u=0,n=this.getValueOfPropertyAt(d,0,"textBackgroundColor");for(var p=0,v=r.length;p<v;p++)s=this.__charBounds[d][p],o=this.getValueOfPropertyAt(d,p,"textBackgroundColor"),f?(t.save(),t.translate(s.renderLeft,s.renderTop),t.rotate(s.angle),(t.fillStyle=o)&&t.fillRect(-s.width/2,-e/this.lineHeight*(1-this._fontSizeFraction),s.width,e/this.lineHeight),t.restore()):o!==n?((t.fillStyle=n)&&t.fillRect(h+i+l,c,u,e/this.lineHeight),l=s.left,u=s.width,n=o):u+=s.kernedWidth;o&&!f&&(t.fillStyle=o,t.fillRect(h+i+l,c,u,e/this.lineHeight)),c+=e}else c+=e;t.fillStyle=a,this._removeShadow(t)}},getFontCache:function(t){var e=t.fontFamily.toLowerCase();d.charWidthsCache[e]||(d.charWidthsCache[e]={});var i=d.charWidthsCache[e],r=t.fontStyle.toLowerCase()+"_"+(t.fontWeight+"").toLowerCase();return i[r]||(i[r]={}),i[r]},_measureChar:function(t,e,i,r){var n,s,o,a,h=this.getFontCache(e),c=i+t,l=this._getFontDeclaration(e)===this._getFontDeclaration(r),u=e.fontSize/this.CACHE_FONT_SIZE;if(i&&void 0!==h[i]&&(o=h[i]),void 0!==h[t]&&(a=n=h[t]),l&&void 0!==h[c]&&(a=(s=h[c])-o),void 0===n||void 0===o||void 0===s){var f=this.getMeasuringContext();this._setTextStyles(f,e,!0)}return void 0===n&&(a=n=f.measureText(t).width,h[t]=n),void 0===o&&l&&i&&(o=f.measureText(i).width,h[i]=o),l&&void 0===s&&(s=f.measureText(c).width,a=(h[c]=s)-o),{width:n*u,kernedWidth:a*u}},getHeightOfChar:function(t,e){return this.getValueOfPropertyAt(t,e,"fontSize")},measureLine:function(t){var e=this._measureLine(t);return 0!==this.charSpacing&&(e.width-=this._getWidthOfCharSpacing()),e.width<0&&(e.width=0),e},_measureLine:function(t){var e,i,r,n,s,o,a=0,h=this._textLines[t],c=new Array(h.length),l=0,u=this.path;for(this.__charBounds[t]=c,u&&(s=d.util.getPointOnPath(u.path,0,u.segmentsInfo),o=u.segmentsInfo[u.segmentsInfo.length-1].length,s.x+=u.pathOffset.x,s.y+=u.pathOffset.y),e=0;e<h.length;e++)i=h[e],n=this._getGraphemeBox(i,t,e,r),u&&(o<l&&(l%=o),this._setGraphemeOnPath(l,n,s)),a+=(c[e]=n).kernedWidth,l+=n.kernedWidth,r=i;return c[e]={left:n?n.left+n.width:0,width:0,kernedWidth:0,height:this.fontSize},{width:a,numOfSpaces:0}},_setGraphemeOnPath:function(t,e,i){var r=t+e.kernedWidth/2,n=this.path,s=d.util.getPointOnPath(n.path,r,n.segmentsInfo);e.renderLeft=s.x-i.x,e.renderTop=s.y-i.y,e.angle=s.angle},_getGraphemeBox:function(t,e,i,r,n){var s,o=this.getCompleteStyleDeclaration(e,i),a=r?this.getCompleteStyleDeclaration(e,i-1):{},h=this._measureChar(t,o,r,a),c=h.kernedWidth,l=h.width;0!==this.charSpacing&&(l+=s=this._getWidthOfCharSpacing(),c+=s);var u={width:l,left:0,height:o.fontSize,kernedWidth:c,deltaY:o.deltaY};if(0<i&&!n){var f=this.__charBounds[e][i-1];u.left=f.left+f.width+h.kernedWidth-h.width}return u},getHeightOfLine:function(t){if(this.__lineHeights[t])return this.__lineHeights[t];for(var e=this._textLines[t],i=this.getHeightOfChar(t,0),r=1,n=e.length;r<n;r++)i=Math.max(this.getHeightOfChar(t,r),i);return this.__lineHeights[t]=i*this.lineHeight*this._fontSizeMult},calcTextHeight:function(){for(var t,e=0,i=0,r=this._textLines.length;i<r;i++)t=this.getHeightOfLine(i),e+=i===r-1?t/this.lineHeight:t;return e},_getLeftOffset:function(){return-this.width/2},_getTopOffset:function(){return-this.height/2},_renderTextCommon:function(t,e){t.save();for(var i=0,r=this._getLeftOffset(),n=this._getTopOffset(),s=0,o=this._textLines.length;s<o;s++){var a=this.getHeightOfLine(s),h=a/this.lineHeight,c=this._getLineLeftOffset(s);this._renderTextLine(e,t,this._textLines[s],r+c,n+i+h,s),i+=a}t.restore()},_renderTextFill:function(t){(this.fill||this.styleHas("fill"))&&this._renderTextCommon(t,"fillText")},_renderTextStroke:function(t){(this.stroke&&0!==this.strokeWidth||!this.isEmptyStyles())&&(this.shadow&&!this.shadow.affectStroke&&this._removeShadow(t),t.save(),this._setLineDash(t,this.strokeDashArray),t.beginPath(),this._renderTextCommon(t,"strokeText"),t.closePath(),t.restore())},_renderChars:function(t,e,i,r,n,s){var o,a,h,c,l=this.getHeightOfLine(s),u=-1!==this.textAlign.indexOf("justify"),f="",d=0,g=this.path,p=!u&&0===this.charSpacing&&this.isEmptyStyles(s)&&!g;if(e.save(),n-=l*this._fontSizeFraction/this.lineHeight,p)return this._renderChar(t,e,s,0,i.join(""),r,n,l),void e.restore();for(var v=0,m=i.length-1;v<=m;v++)c=v===m||this.charSpacing||g,f+=i[v],h=this.__charBounds[s][v],0===d?(r+=h.kernedWidth-h.width,d+=h.width):d+=h.kernedWidth,u&&!c&&this._reSpaceAndTab.test(i[v])&&(c=!0),c||(o=o||this.getCompleteStyleDeclaration(s,v),a=this.getCompleteStyleDeclaration(s,v+1),c=this._hasStyleChanged(o,a)),c&&(g?(e.save(),e.translate(h.renderLeft,h.renderTop),e.rotate(h.angle),this._renderChar(t,e,s,v,f,-d/2,0,l),e.restore()):this._renderChar(t,e,s,v,f,r,n,l),f="",o=a,r+=d,d=0);e.restore()},_applyPatternGradientTransformText:function(t){var e,i=d.util.createCanvasElement(),r=this.width+this.strokeWidth,n=this.height+this.strokeWidth;return i.width=r,i.height=n,(e=i.getContext("2d")).beginPath(),e.moveTo(0,0),e.lineTo(r,0),e.lineTo(r,n),e.lineTo(0,n),e.closePath(),e.translate(r/2,n/2),e.fillStyle=t.toLive(e),this._applyPatternGradientTransform(e,t),e.fill(),e.createPattern(i,"no-repeat")},handleFiller:function(t,e,i){var r,n;return i.toLive?"percentage"===i.gradientUnits||i.gradientTrasnform||i.patternTransform?(r=-this.width/2,n=-this.height/2,t.translate(r,n),t[e]=this._applyPatternGradientTransformText(i),{offsetX:r,offsetY:n}):(t[e]=i.toLive(t,this),this._applyPatternGradientTransform(t,i)):(t[e]=i,{offsetX:0,offsetY:0})},_setStrokeStyles:function(t,e){return t.lineWidth=e.strokeWidth,t.lineCap=this.strokeLineCap,t.lineDashOffset=this.strokeDashOffset,t.lineJoin=this.strokeLineJoin,t.miterLimit=this.strokeMiterLimit,this.handleFiller(t,"strokeStyle",e.stroke)},_setFillStyles:function(t,e){return this.handleFiller(t,"fillStyle",e.fill)},_renderChar:function(t,e,i,r,n,s,o){var a,h,c=this._getStyleDeclaration(i,r),l=this.getCompleteStyleDeclaration(i,r),u="fillText"===t&&l.fill,f="strokeText"===t&&l.stroke&&l.strokeWidth;(f||u)&&(e.save(),u&&(a=this._setFillStyles(e,l)),f&&(h=this._setStrokeStyles(e,l)),e.font=this._getFontDeclaration(l),c&&c.textBackgroundColor&&this._removeShadow(e),c&&c.deltaY&&(o+=c.deltaY),u&&e.fillText(n,s-a.offsetX,o-a.offsetY),f&&e.strokeText(n,s-h.offsetX,o-h.offsetY),e.restore())},setSuperscript:function(t,e){return this._setScript(t,e,this.superscript)},setSubscript:function(t,e){return this._setScript(t,e,this.subscript)},_setScript:function(t,e,i){var r=this.get2DCursorLocation(t,!0),n=this.getValueOfPropertyAt(r.lineIndex,r.charIndex,"fontSize"),s=this.getValueOfPropertyAt(r.lineIndex,r.charIndex,"deltaY"),o={fontSize:n*i.size,deltaY:s+n*i.baseline};return this.setSelectionStyles(o,t,e),this},_hasStyleChanged:function(t,e){return t.fill!==e.fill||t.stroke!==e.stroke||t.strokeWidth!==e.strokeWidth||t.fontSize!==e.fontSize||t.fontFamily!==e.fontFamily||t.fontWeight!==e.fontWeight||t.fontStyle!==e.fontStyle||t.deltaY!==e.deltaY},_hasStyleChangedForSvg:function(t,e){return this._hasStyleChanged(t,e)||t.overline!==e.overline||t.underline!==e.underline||t.linethrough!==e.linethrough},_getLineLeftOffset:function(t){var e=this.getLineWidth(t);return"center"===this.textAlign?(this.width-e)/2:"right"===this.textAlign?this.width-e:"justify-center"===this.textAlign&&this.isEndOfWrapping(t)?(this.width-e)/2:"justify-right"===this.textAlign&&this.isEndOfWrapping(t)?this.width-e:0},_clearCache:function(){this.__lineWidths=[],this.__lineHeights=[],this.__charBounds=[]},_shouldClearDimensionCache:function(){var t=this._forceClearCache;return t||(t=this.hasStateChanged("_dimensionAffectingProps")),t&&(this.dirty=!0,this._forceClearCache=!1),t},getLineWidth:function(t){return this.__lineWidths[t]?this.__lineWidths[t]:(e=""===this._textLines[t]?0:this.measureLine(t).width,this.__lineWidths[t]=e);var e},_getWidthOfCharSpacing:function(){return 0!==this.charSpacing?this.fontSize*this.charSpacing/1e3:0},getValueOfPropertyAt:function(t,e,i){var r=this._getStyleDeclaration(t,e);return r&&void 0!==r[i]?r[i]:this[i]},_renderTextDecoration:function(t,e){if(this[e]||this.styleHas(e)){for(var i,r,n,s,o,a,h,c,l,u,f,d,g,p,v,m,b=this._getLeftOffset(),y=this._getTopOffset(),_=this.path,x=this._getWidthOfCharSpacing(),C=0,S=this._textLines.length;C<S;C++)if(i=this.getHeightOfLine(C),this[e]||this.styleHas(e,C)){h=this._textLines[C],p=i/this.lineHeight,s=this._getLineLeftOffset(C),f=u=0,c=this.getValueOfPropertyAt(C,0,e),m=this.getValueOfPropertyAt(C,0,"fill"),l=y+p*(1-this._fontSizeFraction),r=this.getHeightOfChar(C,0),o=this.getValueOfPropertyAt(C,0,"deltaY");for(var T=0,w=h.length;T<w;T++)d=this.__charBounds[C][T],g=this.getValueOfPropertyAt(C,T,e),v=this.getValueOfPropertyAt(C,T,"fill"),n=this.getHeightOfChar(C,T),a=this.getValueOfPropertyAt(C,T,"deltaY"),_&&g&&v?(t.save(),t.fillStyle=m,t.translate(d.renderLeft,d.renderTop),t.rotate(d.angle),t.fillRect(-d.kernedWidth/2,this.offsets[e]*n+a,d.kernedWidth,this.fontSize/15),t.restore()):(g!==c||v!==m||n!==r||a!==o)&&0<f?(c&&m&&t.fillRect(b+s+u,l+this.offsets[e]*r+o,f,this.fontSize/15),u=d.left,f=d.width,c=g,m=v,r=n,o=a):f+=d.kernedWidth;t.fillStyle=v,g&&v&&t.fillRect(b+s+u,l+this.offsets[e]*r+o,f-x,this.fontSize/15),y+=i}else y+=i;this._removeShadow(t)}},_getFontDeclaration:function(t,e){var i=t||this,r=this.fontFamily,n=-1<d.Text.genericFonts.indexOf(r.toLowerCase()),s=void 0===r||-1<r.indexOf("'")||-1<r.indexOf(",")||-1<r.indexOf('"')||n?i.fontFamily:'"'+i.fontFamily+'"';return[d.isLikelyNode?i.fontWeight:i.fontStyle,d.isLikelyNode?i.fontStyle:i.fontWeight,e?this.CACHE_FONT_SIZE+"px":i.fontSize+"px",s].join(" ")},render:function(t){this.visible&&(this.canvas&&this.canvas.skipOffscreen&&!this.group&&!this.isOnScreen()||(this._shouldClearDimensionCache()&&this.initDimensions(),this.callSuper("render",t)))},_splitTextIntoLines:function(t){for(var e=t.split(this._reNewline),i=new Array(e.length),r=["\n"],n=[],s=0;s<e.length;s++)i[s]=d.util.string.graphemeSplit(e[s]),n=n.concat(i[s],r);return n.pop(),{_unwrappedLines:i,lines:e,graphemeText:n,graphemeLines:i}},toObject:function(t){var e=["text","fontSize","fontWeight","fontFamily","fontStyle","lineHeight","underline","overline","linethrough","textAlign","textBackgroundColor","charSpacing"].concat(t),i=this.callSuper("toObject",e);return i.styles=g(this.styles,!0),i},set:function(t,e){this.callSuper("set",t,e);var i=!1,r=!1;if("object"==typeof t)for(var n in t)"path"===n&&this.setPathInfo(),i=i||-1!==this._dimensionAffectingProps.indexOf(n),r=r||"path"===n;else i=-1!==this._dimensionAffectingProps.indexOf(t),r="path"===t;return r&&this.setPathInfo(),i&&(this.initDimensions(),this.setCoords()),this},complexity:function(){return 1}}),d.Text.ATTRIBUTE_NAMES=d.SHARED_ATTRIBUTES.concat("x y dx dy font-family font-style font-weight font-size letter-spacing text-decoration text-anchor".split(" ")),d.Text.DEFAULT_SVG_FONT_SIZE=16,d.Text.fromElement=function(t,e,i){if(!t)return e(null);var r=d.parseAttributes(t,d.Text.ATTRIBUTE_NAMES),n=r.textAnchor||"left";if((i=d.util.object.extend(i?g(i):{},r)).top=i.top||0,i.left=i.left||0,r.textDecoration){var s=r.textDecoration;-1!==s.indexOf("underline")&&(i.underline=!0),-1!==s.indexOf("overline")&&(i.overline=!0),-1!==s.indexOf("line-through")&&(i.linethrough=!0),delete i.textDecoration}"dx"in r&&(i.left+=r.dx),"dy"in r&&(i.top+=r.dy),"fontSize"in i||(i.fontSize=d.Text.DEFAULT_SVG_FONT_SIZE);var o="";"textContent"in t?o=t.textContent:"firstChild"in t&&null!==t.firstChild&&"data"in t.firstChild&&null!==t.firstChild.data&&(o=t.firstChild.data),o=o.replace(/^\s+|\s+$|\n+/g,"").replace(/\s+/g," ");var a=i.strokeWidth;i.strokeWidth=0;var h=new d.Text(o,i),c=h.getScaledHeight()/h.height,l=((h.height+h.strokeWidth)*h.lineHeight-h.height)*c,u=h.getScaledHeight()+l,f=0;"center"===n&&(f=h.getScaledWidth()/2),"right"===n&&(f=h.getScaledWidth()),h.set({left:h.left-f,top:h.top-(u-h.fontSize*(.07+h._fontSizeFraction))/h.lineHeight,strokeWidth:void 0!==a?a:1}),e(h)},d.Text.fromObject=function(t,e){return d.Object._fromObject("Text",t,e,"text")},d.Text.genericFonts=["sans-serif","serif","cursive","fantasy","monospace"],d.util.createAccessors&&d.util.createAccessors(d.Text)}}("undefined"!=typeof exports?exports:this),fabric.util.object.extend(fabric.Text.prototype,{isEmptyStyles:function(t){if(!this.styles)return!0;if(void 0!==t&&!this.styles[t])return!0;var e=void 0===t?this.styles:{line:this.styles[t]};for(var i in e)for(var r in e[i])for(var n in e[i][r])return!1;return!0},styleHas:function(t,e){if(!this.styles||!t||""===t)return!1;if(void 0!==e&&!this.styles[e])return!1;var i=void 0===e?this.styles:{0:this.styles[e]};for(var r in i)for(var n in i[r])if(void 0!==i[r][n][t])return!0;return!1},cleanStyle:function(t){if(!this.styles||!t||""===t)return!1;var e,i,r=this.styles,n=0,s=!0,o=0;for(var a in r){for(var h in e=0,r[a]){var c;n++,(c=r[a][h]).hasOwnProperty(t)?(i?c[t]!==i&&(s=!1):i=c[t],c[t]===this[t]&&delete c[t]):s=!1,0!==Object.keys(c).length?e++:delete r[a][h]}0===e&&delete r[a]}for(var l=0;l<this._textLines.length;l++)o+=this._textLines[l].length;s&&n===o&&(this[t]=i,this.removeStyle(t))},removeStyle:function(t){if(this.styles&&t&&""!==t){var e,i,r,n=this.styles;for(i in n){for(r in e=n[i])delete e[r][t],0===Object.keys(e[r]).length&&delete e[r];0===Object.keys(e).length&&delete n[i]}}},_extendStyles:function(t,e){var i=this.get2DCursorLocation(t);this._getLineStyle(i.lineIndex)||this._setLineStyle(i.lineIndex),this._getStyleDeclaration(i.lineIndex,i.charIndex)||this._setStyleDeclaration(i.lineIndex,i.charIndex,{}),fabric.util.object.extend(this._getStyleDeclaration(i.lineIndex,i.charIndex),e)},get2DCursorLocation:function(t,e){void 0===t&&(t=this.selectionStart);for(var i=e?this._unwrappedTextLines:this._textLines,r=i.length,n=0;n<r;n++){if(t<=i[n].length)return{lineIndex:n,charIndex:t};t-=i[n].length+this.missingNewlineOffset(n)}return{lineIndex:n-1,charIndex:i[n-1].length<t?i[n-1].length:t}},getSelectionStyles:function(t,e,i){void 0===t&&(t=this.selectionStart||0),void 0===e&&(e=this.selectionEnd||t);for(var r=[],n=t;n<e;n++)r.push(this.getStyleAtPosition(n,i));return r},getStyleAtPosition:function(t,e){var i=this.get2DCursorLocation(t);return(e?this.getCompleteStyleDeclaration(i.lineIndex,i.charIndex):this._getStyleDeclaration(i.lineIndex,i.charIndex))||{}},setSelectionStyles:function(t,e,i){void 0===e&&(e=this.selectionStart||0),void 0===i&&(i=this.selectionEnd||e);for(var r=e;r<i;r++)this._extendStyles(r,t);return this._forceClearCache=!0,this},_getStyleDeclaration:function(t,e){var i=this.styles&&this.styles[t];return i?i[e]:null},getCompleteStyleDeclaration:function(t,e){for(var i,r=this._getStyleDeclaration(t,e)||{},n={},s=0;s<this._styleProperties.length;s++)n[i=this._styleProperties[s]]=void 0===r[i]?this[i]:r[i];return n},_setStyleDeclaration:function(t,e,i){this.styles[t][e]=i},_deleteStyleDeclaration:function(t,e){delete this.styles[t][e]},_getLineStyle:function(t){return!!this.styles[t]},_setLineStyle:function(t){this.styles[t]={}},_deleteLineStyle:function(t){delete this.styles[t]}}),function(){function n(t){t.textDecoration&&(-1<t.textDecoration.indexOf("underline")&&(t.underline=!0),-1<t.textDecoration.indexOf("line-through")&&(t.linethrough=!0),-1<t.textDecoration.indexOf("overline")&&(t.overline=!0),delete t.textDecoration)}fabric.IText=fabric.util.createClass(fabric.Text,fabric.Observable,{type:"i-text",selectionStart:0,selectionEnd:0,selectionColor:"rgba(17,119,255,0.3)",isEditing:!1,editable:!0,editingBorderColor:"rgba(102,153,255,0.25)",cursorWidth:2,cursorColor:"",cursorDelay:1e3,cursorDuration:600,caching:!0,_reSpace:/\s|\n/,_currentCursorOpacity:0,_selectionDirection:null,_abortCursorAnimation:!1,__widthOfSpace:[],inCompositionMode:!1,initialize:function(t,e){this.callSuper("initialize",t,e),this.initBehavior()},setSelectionStart:function(t){t=Math.max(t,0),this._updateAndFire("selectionStart",t)},setSelectionEnd:function(t){t=Math.min(t,this.text.length),this._updateAndFire("selectionEnd",t)},_updateAndFire:function(t,e){this[t]!==e&&(this._fireSelectionChanged(),this[t]=e),this._updateTextarea()},_fireSelectionChanged:function(){this.fire("selection:changed"),this.canvas&&this.canvas.fire("text:selection:changed",{target:this})},initDimensions:function(){this.isEditing&&this.initDelayedCursor(),this.clearContextTop(),this.callSuper("initDimensions")},render:function(t){this.clearContextTop(),this.callSuper("render",t),this.cursorOffsetCache={},this.renderCursorOrSelection()},_render:function(t){this.callSuper("_render",t)},clearContextTop:function(t){if(this.isEditing&&this.canvas&&this.canvas.contextTop){var e=this.canvas.contextTop,i=this.canvas.viewportTransform;e.save(),e.transform(i[0],i[1],i[2],i[3],i[4],i[5]),this.transform(e),this._clearTextArea(e),t||e.restore()}},renderCursorOrSelection:function(){if(this.isEditing&&this.canvas&&this.canvas.contextTop){var t=this._getCursorBoundaries(),e=this.canvas.contextTop;this.clearContextTop(!0),this.selectionStart===this.selectionEnd?this.renderCursor(t,e):this.renderSelection(t,e),e.restore()}},_clearTextArea:function(t){var e=this.width+4,i=this.height+4;t.clearRect(-e/2,-i/2,e,i)},_getCursorBoundaries:function(t){void 0===t&&(t=this.selectionStart);var e=this._getLeftOffset(),i=this._getTopOffset(),r=this._getCursorBoundariesOffsets(t);return{left:e,top:i,leftOffset:r.left,topOffset:r.top}},_getCursorBoundariesOffsets:function(t){if(this.cursorOffsetCache&&"top"in this.cursorOffsetCache)return this.cursorOffsetCache;var e,i,r,n,s=0,o=0,a=this.get2DCursorLocation(t);r=a.charIndex,i=a.lineIndex;for(var h=0;h<i;h++)s+=this.getHeightOfLine(h);e=this._getLineLeftOffset(i);var c=this.__charBounds[i][r];return c&&(o=c.left),0!==this.charSpacing&&r===this._textLines[i].length&&(o-=this._getWidthOfCharSpacing()),n={top:s,left:e+(0<o?o:0)},this.cursorOffsetCache=n,this.cursorOffsetCache},renderCursor:function(t,e){var i=this.get2DCursorLocation(),r=i.lineIndex,n=0<i.charIndex?i.charIndex-1:0,s=this.getValueOfPropertyAt(r,n,"fontSize"),o=this.scaleX*this.canvas.getZoom(),a=this.cursorWidth/o,h=t.topOffset,c=this.getValueOfPropertyAt(r,n,"deltaY");h+=(1-this._fontSizeFraction)*this.getHeightOfLine(r)/this.lineHeight-s*(1-this._fontSizeFraction),this.inCompositionMode&&this.renderSelection(t,e),e.fillStyle=this.cursorColor||this.getValueOfPropertyAt(r,n,"fill"),e.globalAlpha=this.__isMousedown?1:this._currentCursorOpacity,e.fillRect(t.left+t.leftOffset-a/2,h+t.top+c,a,s)},renderSelection:function(t,e){for(var i=this.inCompositionMode?this.hiddenTextarea.selectionStart:this.selectionStart,r=this.inCompositionMode?this.hiddenTextarea.selectionEnd:this.selectionEnd,n=-1!==this.textAlign.indexOf("justify"),s=this.get2DCursorLocation(i),o=this.get2DCursorLocation(r),a=s.lineIndex,h=o.lineIndex,c=s.charIndex<0?0:s.charIndex,l=o.charIndex<0?0:o.charIndex,u=a;u<=h;u++){var f,d=this._getLineLeftOffset(u)||0,g=this.getHeightOfLine(u),p=0,v=0;if(u===a&&(p=this.__charBounds[a][c].left),a<=u&&u<h)v=n&&!this.isEndOfWrapping(u)?this.width:this.getLineWidth(u)||5;else if(u===h)if(0===l)v=this.__charBounds[h][l].left;else{var m=this._getWidthOfCharSpacing();v=this.__charBounds[h][l-1].left+this.__charBounds[h][l-1].width-m}f=g,(this.lineHeight<1||u===h&&1<this.lineHeight)&&(g/=this.lineHeight),this.inCompositionMode?(e.fillStyle=this.compositionColor||"black",e.fillRect(t.left+d+p,t.top+t.topOffset+g,v-p,1)):(e.fillStyle=this.selectionColor,e.fillRect(t.left+d+p,t.top+t.topOffset,v-p,g)),t.topOffset+=f}},getCurrentCharFontSize:function(){var t=this._getCurrentCharIndex();return this.getValueOfPropertyAt(t.l,t.c,"fontSize")},getCurrentCharColor:function(){var t=this._getCurrentCharIndex();return this.getValueOfPropertyAt(t.l,t.c,"fill")},_getCurrentCharIndex:function(){var t=this.get2DCursorLocation(this.selectionStart,!0),e=0<t.charIndex?t.charIndex-1:0;return{l:t.lineIndex,c:e}}}),fabric.IText.fromObject=function(t,e){if(n(t),t.styles)for(var i in t.styles)for(var r in t.styles[i])n(t.styles[i][r]);fabric.Object._fromObject("IText",t,e,"text")}}(),function(){var u=fabric.util.object.clone;fabric.util.object.extend(fabric.IText.prototype,{initBehavior:function(){this.initAddedHandler(),this.initRemovedHandler(),this.initCursorSelectionHandlers(),this.initDoubleClickSimulation(),this.mouseMoveHandler=this.mouseMoveHandler.bind(this)},onDeselect:function(){this.isEditing&&this.exitEditing(),this.selected=!1},initAddedHandler:function(){var e=this;this.on("added",function(){var t=e.canvas;t&&(t._hasITextHandlers||(t._hasITextHandlers=!0,e._initCanvasHandlers(t)),t._iTextInstances=t._iTextInstances||[],t._iTextInstances.push(e))})},initRemovedHandler:function(){var e=this;this.on("removed",function(){var t=e.canvas;t&&(t._iTextInstances=t._iTextInstances||[],fabric.util.removeFromArray(t._iTextInstances,e),0===t._iTextInstances.length&&(t._hasITextHandlers=!1,e._removeCanvasHandlers(t)))})},_initCanvasHandlers:function(t){t._mouseUpITextHandler=function(){t._iTextInstances&&t._iTextInstances.forEach(function(t){t.__isMousedown=!1})},t.on("mouse:up",t._mouseUpITextHandler)},_removeCanvasHandlers:function(t){t.off("mouse:up",t._mouseUpITextHandler)},_tick:function(){this._currentTickState=this._animateCursor(this,1,this.cursorDuration,"_onTickComplete")},_animateCursor:function(t,e,i,r){var n;return n={isAborted:!1,abort:function(){this.isAborted=!0}},t.animate("_currentCursorOpacity",e,{duration:i,onComplete:function(){n.isAborted||t[r]()},onChange:function(){t.canvas&&t.selectionStart===t.selectionEnd&&t.renderCursorOrSelection()},abort:function(){return n.isAborted}}),n},_onTickComplete:function(){var t=this;this._cursorTimeout1&&clearTimeout(this._cursorTimeout1),this._cursorTimeout1=setTimeout(function(){t._currentTickCompleteState=t._animateCursor(t,0,this.cursorDuration/2,"_tick")},100)},initDelayedCursor:function(t){var e=this,i=t?0:this.cursorDelay;this.abortCursorAnimation(),this._currentCursorOpacity=1,this._cursorTimeout2=setTimeout(function(){e._tick()},i)},abortCursorAnimation:function(){var t=this._currentTickState||this._currentTickCompleteState,e=this.canvas;this._currentTickState&&this._currentTickState.abort(),this._currentTickCompleteState&&this._currentTickCompleteState.abort(),clearTimeout(this._cursorTimeout1),clearTimeout(this._cursorTimeout2),this._currentCursorOpacity=0,t&&e&&e.clearContext(e.contextTop||e.contextContainer)},selectAll:function(){return this.selectionStart=0,this.selectionEnd=this._text.length,this._fireSelectionChanged(),this._updateTextarea(),this},getSelectedText:function(){return this._text.slice(this.selectionStart,this.selectionEnd).join("")},findWordBoundaryLeft:function(t){var e=0,i=t-1;if(this._reSpace.test(this._text[i]))for(;this._reSpace.test(this._text[i]);)e++,i--;for(;/\S/.test(this._text[i])&&-1<i;)e++,i--;return t-e},findWordBoundaryRight:function(t){var e=0,i=t;if(this._reSpace.test(this._text[i]))for(;this._reSpace.test(this._text[i]);)e++,i++;for(;/\S/.test(this._text[i])&&i<this._text.length;)e++,i++;return t+e},findLineBoundaryLeft:function(t){for(var e=0,i=t-1;!/\n/.test(this._text[i])&&-1<i;)e++,i--;return t-e},findLineBoundaryRight:function(t){for(var e=0,i=t;!/\n/.test(this._text[i])&&i<this._text.length;)e++,i++;return t+e},searchWordBoundary:function(t,e){for(var i=this._text,r=this._reSpace.test(i[t])?t-1:t,n=i[r],s=fabric.reNonWord;!s.test(n)&&0<r&&r<i.length;)n=i[r+=e];return s.test(n)&&(r+=1===e?0:1),r},selectWord:function(t){t=t||this.selectionStart;var e=this.searchWordBoundary(t,-1),i=this.searchWordBoundary(t,1);this.selectionStart=e,this.selectionEnd=i,this._fireSelectionChanged(),this._updateTextarea(),this.renderCursorOrSelection()},selectLine:function(t){t=t||this.selectionStart;var e=this.findLineBoundaryLeft(t),i=this.findLineBoundaryRight(t);return this.selectionStart=e,this.selectionEnd=i,this._fireSelectionChanged(),this._updateTextarea(),this},enterEditing:function(t){if(!this.isEditing&&this.editable)return this.canvas&&(this.canvas.calcOffset(),this.exitEditingOnOthers(this.canvas)),this.isEditing=!0,this.initHiddenTextarea(t),this.hiddenTextarea.focus(),this.hiddenTextarea.value=this.text,this._updateTextarea(),this._saveEditingProps(),this._setEditingProps(),this._textBeforeEdit=this.text,this._tick(),this.fire("editing:entered"),this._fireSelectionChanged(),this.canvas&&(this.canvas.fire("text:editing:entered",{target:this}),this.initMouseMoveHandler(),this.canvas.requestRenderAll()),this},exitEditingOnOthers:function(t){t._iTextInstances&&t._iTextInstances.forEach(function(t){t.selected=!1,t.isEditing&&t.exitEditing()})},initMouseMoveHandler:function(){this.canvas.on("mouse:move",this.mouseMoveHandler)},mouseMoveHandler:function(t){if(this.__isMousedown&&this.isEditing){var e=this.getSelectionStartFromPointer(t.e),i=this.selectionStart,r=this.selectionEnd;(e===this.__selectionStartOnMouseDown&&i!==r||i!==e&&r!==e)&&(e>this.__selectionStartOnMouseDown?(this.selectionStart=this.__selectionStartOnMouseDown,this.selectionEnd=e):(this.selectionStart=e,this.selectionEnd=this.__selectionStartOnMouseDown),this.selectionStart===i&&this.selectionEnd===r||(this.restartCursorIfNeeded(),this._fireSelectionChanged(),this._updateTextarea(),this.renderCursorOrSelection()))}},_setEditingProps:function(){this.hoverCursor="text",this.canvas&&(this.canvas.defaultCursor=this.canvas.moveCursor="text"),this.borderColor=this.editingBorderColor,this.hasControls=this.selectable=!1,this.lockMovementX=this.lockMovementY=!0},fromStringToGraphemeSelection:function(t,e,i){var r=i.slice(0,t),n=fabric.util.string.graphemeSplit(r).length;if(t===e)return{selectionStart:n,selectionEnd:n};var s=i.slice(t,e);return{selectionStart:n,selectionEnd:n+fabric.util.string.graphemeSplit(s).length}},fromGraphemeToStringSelection:function(t,e,i){var r=i.slice(0,t).join("").length;return t===e?{selectionStart:r,selectionEnd:r}:{selectionStart:r,selectionEnd:r+i.slice(t,e).join("").length}},_updateTextarea:function(){if(this.cursorOffsetCache={},this.hiddenTextarea){if(!this.inCompositionMode){var t=this.fromGraphemeToStringSelection(this.selectionStart,this.selectionEnd,this._text);this.hiddenTextarea.selectionStart=t.selectionStart,this.hiddenTextarea.selectionEnd=t.selectionEnd}this.updateTextareaPosition()}},updateFromTextArea:function(){if(this.hiddenTextarea){this.cursorOffsetCache={},this.text=this.hiddenTextarea.value,this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords());var t=this.fromStringToGraphemeSelection(this.hiddenTextarea.selectionStart,this.hiddenTextarea.selectionEnd,this.hiddenTextarea.value);this.selectionEnd=this.selectionStart=t.selectionEnd,this.inCompositionMode||(this.selectionStart=t.selectionStart),this.updateTextareaPosition()}},updateTextareaPosition:function(){if(this.selectionStart===this.selectionEnd){var t=this._calcTextareaPosition();this.hiddenTextarea.style.left=t.left,this.hiddenTextarea.style.top=t.top}},_calcTextareaPosition:function(){if(!this.canvas)return{x:1,y:1};var t=this.inCompositionMode?this.compositionStart:this.selectionStart,e=this._getCursorBoundaries(t),i=this.get2DCursorLocation(t),r=i.lineIndex,n=i.charIndex,s=this.getValueOfPropertyAt(r,n,"fontSize")*this.lineHeight,o=e.leftOffset,a=this.calcTransformMatrix(),h={x:e.left+o,y:e.top+e.topOffset+s},c=this.canvas.getRetinaScaling(),l=this.canvas.upperCanvasEl,u=l.width/c,f=l.height/c,d=u-s,g=f-s,p=l.clientWidth/u,v=l.clientHeight/f;return h=fabric.util.transformPoint(h,a),(h=fabric.util.transformPoint(h,this.canvas.viewportTransform)).x*=p,h.y*=v,h.x<0&&(h.x=0),h.x>d&&(h.x=d),h.y<0&&(h.y=0),h.y>g&&(h.y=g),h.x+=this.canvas._offset.left,h.y+=this.canvas._offset.top,{left:h.x+"px",top:h.y+"px",fontSize:s+"px",charHeight:s}},_saveEditingProps:function(){this._savedProps={hasControls:this.hasControls,borderColor:this.borderColor,lockMovementX:this.lockMovementX,lockMovementY:this.lockMovementY,hoverCursor:this.hoverCursor,selectable:this.selectable,defaultCursor:this.canvas&&this.canvas.defaultCursor,moveCursor:this.canvas&&this.canvas.moveCursor}},_restoreEditingProps:function(){this._savedProps&&(this.hoverCursor=this._savedProps.hoverCursor,this.hasControls=this._savedProps.hasControls,this.borderColor=this._savedProps.borderColor,this.selectable=this._savedProps.selectable,this.lockMovementX=this._savedProps.lockMovementX,this.lockMovementY=this._savedProps.lockMovementY,this.canvas&&(this.canvas.defaultCursor=this._savedProps.defaultCursor,this.canvas.moveCursor=this._savedProps.moveCursor))},exitEditing:function(){var t=this._textBeforeEdit!==this.text,e=this.hiddenTextarea;return this.selected=!1,this.isEditing=!1,this.selectionEnd=this.selectionStart,e&&(e.blur&&e.blur(),e.parentNode&&e.parentNode.removeChild(e)),this.hiddenTextarea=null,this.abortCursorAnimation(),this._restoreEditingProps(),this._currentCursorOpacity=0,this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords()),this.fire("editing:exited"),t&&this.fire("modified"),this.canvas&&(this.canvas.off("mouse:move",this.mouseMoveHandler),this.canvas.fire("text:editing:exited",{target:this}),t&&this.canvas.fire("object:modified",{target:this})),this},_removeExtraneousStyles:function(){for(var t in this.styles)this._textLines[t]||delete this.styles[t]},removeStyleFromTo:function(t,e){var i,r,n=this.get2DCursorLocation(t,!0),s=this.get2DCursorLocation(e,!0),o=n.lineIndex,a=n.charIndex,h=s.lineIndex,c=s.charIndex;if(o!==h){if(this.styles[o])for(i=a;i<this._unwrappedTextLines[o].length;i++)delete this.styles[o][i];if(this.styles[h])for(i=c;i<this._unwrappedTextLines[h].length;i++)(r=this.styles[h][i])&&(this.styles[o]||(this.styles[o]={}),this.styles[o][a+i-c]=r);for(i=o+1;i<=h;i++)delete this.styles[i];this.shiftLineStyles(h,o-h)}else if(this.styles[o]){r=this.styles[o];var l,u,f=c-a;for(i=a;i<c;i++)delete r[i];for(u in this.styles[o])c<=(l=parseInt(u,10))&&(r[l-f]=r[u],delete r[u])}},shiftLineStyles:function(t,e){var i=u(this.styles);for(var r in this.styles){var n=parseInt(r,10);t<n&&(this.styles[n+e]=i[n],i[n-e]||delete this.styles[n])}},restartCursorIfNeeded:function(){this._currentTickState&&!this._currentTickState.isAborted&&this._currentTickCompleteState&&!this._currentTickCompleteState.isAborted||this.initDelayedCursor()},insertNewlineStyleObject:function(t,e,i,r){var n,s={},o=!1,a=this._unwrappedTextLines[t].length===e;for(var h in i||(i=1),this.shiftLineStyles(t,i),this.styles[t]&&(n=this.styles[t][0===e?e:e-1]),this.styles[t]){var c=parseInt(h,10);e<=c&&(o=!0,s[c-e]=this.styles[t][h],a&&0===e||delete this.styles[t][h])}var l=!1;for(o&&!a&&(this.styles[t+i]=s,l=!0),l&&i--;0<i;)r&&r[i-1]?this.styles[t+i]={0:u(r[i-1])}:n?this.styles[t+i]={0:u(n)}:delete this.styles[t+i],i--;this._forceClearCache=!0},insertCharStyleObject:function(t,e,i,r){this.styles||(this.styles={});var n=this.styles[t],s=n?u(n):{};for(var o in i||(i=1),s){var a=parseInt(o,10);e<=a&&(n[a+i]=s[a],s[a-i]||delete n[a])}if(this._forceClearCache=!0,r)for(;i--;)Object.keys(r[i]).length&&(this.styles[t]||(this.styles[t]={}),this.styles[t][e+i]=u(r[i]));else if(n)for(var h=n[e?e-1:1];h&&i--;)this.styles[t][e+i]=u(h)},insertNewStyleBlock:function(t,e,i){for(var r=this.get2DCursorLocation(e,!0),n=[0],s=0,o=0;o<t.length;o++)"\n"===t[o]?n[++s]=0:n[s]++;0<n[0]&&(this.insertCharStyleObject(r.lineIndex,r.charIndex,n[0],i),i=i&&i.slice(n[0]+1)),s&&this.insertNewlineStyleObject(r.lineIndex,r.charIndex+n[0],s);for(o=1;o<s;o++)0<n[o]?this.insertCharStyleObject(r.lineIndex+o,0,n[o],i):i&&(this.styles[r.lineIndex+o][0]=i[0]),i=i&&i.slice(n[o]+1);0<n[o]&&this.insertCharStyleObject(r.lineIndex+o,0,n[o],i)},setSelectionStartEndWithShift:function(t,e,i){i<=t?(e===t?this._selectionDirection="left":"right"===this._selectionDirection&&(this._selectionDirection="left",this.selectionEnd=t),this.selectionStart=i):t<i&&i<e?"right"===this._selectionDirection?this.selectionEnd=i:this.selectionStart=i:(e===t?this._selectionDirection="right":"left"===this._selectionDirection&&(this._selectionDirection="right",this.selectionStart=e),this.selectionEnd=i)},setSelectionInBoundaries:function(){var t=this.text.length;this.selectionStart>t?this.selectionStart=t:this.selectionStart<0&&(this.selectionStart=0),this.selectionEnd>t?this.selectionEnd=t:this.selectionEnd<0&&(this.selectionEnd=0)}})}(),fabric.util.object.extend(fabric.IText.prototype,{initDoubleClickSimulation:function(){this.__lastClickTime=+new Date,this.__lastLastClickTime=+new Date,this.__lastPointer={},this.on("mousedown",this.onMouseDown)},onMouseDown:function(t){if(this.canvas){this.__newClickTime=+new Date;var e=t.pointer;this.isTripleClick(e)&&(this.fire("tripleclick",t),this._stopEvent(t.e)),this.__lastLastClickTime=this.__lastClickTime,this.__lastClickTime=this.__newClickTime,this.__lastPointer=e,this.__lastIsEditing=this.isEditing,this.__lastSelected=this.selected}},isTripleClick:function(t){return this.__newClickTime-this.__lastClickTime<500&&this.__lastClickTime-this.__lastLastClickTime<500&&this.__lastPointer.x===t.x&&this.__lastPointer.y===t.y},_stopEvent:function(t){t.preventDefault&&t.preventDefault(),t.stopPropagation&&t.stopPropagation()},initCursorSelectionHandlers:function(){this.initMousedownHandler(),this.initMouseupHandler(),this.initClicks()},doubleClickHandler:function(t){this.isEditing&&this.selectWord(this.getSelectionStartFromPointer(t.e))},tripleClickHandler:function(t){this.isEditing&&this.selectLine(this.getSelectionStartFromPointer(t.e))},initClicks:function(){this.on("mousedblclick",this.doubleClickHandler),this.on("tripleclick",this.tripleClickHandler)},_mouseDownHandler:function(t){!this.canvas||!this.editable||t.e.button&&1!==t.e.button||(this.__isMousedown=!0,this.selected&&(this.inCompositionMode=!1,this.setCursorByClick(t.e)),this.isEditing&&(this.__selectionStartOnMouseDown=this.selectionStart,this.selectionStart===this.selectionEnd&&this.abortCursorAnimation(),this.renderCursorOrSelection()))},_mouseDownHandlerBefore:function(t){!this.canvas||!this.editable||t.e.button&&1!==t.e.button||(this.selected=this===this.canvas._activeObject)},initMousedownHandler:function(){this.on("mousedown",this._mouseDownHandler),this.on("mousedown:before",this._mouseDownHandlerBefore)},initMouseupHandler:function(){this.on("mouseup",this.mouseUpHandler)},mouseUpHandler:function(t){if(this.__isMousedown=!1,!(!this.editable||this.group||t.transform&&t.transform.actionPerformed||t.e.button&&1!==t.e.button)){if(this.canvas){var e=this.canvas._activeObject;if(e&&e!==this)return}this.__lastSelected&&!this.__corner?(this.selected=!1,this.__lastSelected=!1,this.enterEditing(t.e),this.selectionStart===this.selectionEnd?this.initDelayedCursor(!0):this.renderCursorOrSelection()):this.selected=!0}},setCursorByClick:function(t){var e=this.getSelectionStartFromPointer(t),i=this.selectionStart,r=this.selectionEnd;t.shiftKey?this.setSelectionStartEndWithShift(i,r,e):(this.selectionStart=e,this.selectionEnd=e),this.isEditing&&(this._fireSelectionChanged(),this._updateTextarea())},getSelectionStartFromPointer:function(t){for(var e=this.getLocalPointer(t),i=0,r=0,n=0,s=0,o=0,a=0,h=this._textLines.length;a<h&&n<=e.y;a++)n+=this.getHeightOfLine(a)*this.scaleY,0<(o=a)&&(s+=this._textLines[a-1].length+this.missingNewlineOffset(a-1));r=this._getLineLeftOffset(o)*this.scaleX;for(var c=0,l=this._textLines[o].length;c<l&&(i=r,(r+=this.__charBounds[o][c].kernedWidth*this.scaleX)<=e.x);c++)s++;return this._getNewSelectionStartFromOffset(e,i,r,s,l)},_getNewSelectionStartFromOffset:function(t,e,i,r,n){var s=t.x-e,o=i-t.x,a=r+(s<o||o<0?0:1);return this.flipX&&(a=n-a),a>this._text.length&&(a=this._text.length),a}}),fabric.util.object.extend(fabric.IText.prototype,{initHiddenTextarea:function(){this.hiddenTextarea=fabric.document.createElement("textarea"),this.hiddenTextarea.setAttribute("autocapitalize","off"),this.hiddenTextarea.setAttribute("autocorrect","off"),this.hiddenTextarea.setAttribute("autocomplete","off"),this.hiddenTextarea.setAttribute("spellcheck","false"),this.hiddenTextarea.setAttribute("data-fabric-hiddentextarea",""),this.hiddenTextarea.setAttribute("wrap","off");var t=this._calcTextareaPosition();this.hiddenTextarea.style.cssText="position: absolute; top: "+t.top+"; left: "+t.left+"; z-index: -999; opacity: 0; width: 1px; height: 1px; font-size: 1px; paddingｰtop: "+t.fontSize+";",fabric.document.body.appendChild(this.hiddenTextarea),fabric.util.addListener(this.hiddenTextarea,"keydown",this.onKeyDown.bind(this)),fabric.util.addListener(this.hiddenTextarea,"keyup",this.onKeyUp.bind(this)),fabric.util.addListener(this.hiddenTextarea,"input",this.onInput.bind(this)),fabric.util.addListener(this.hiddenTextarea,"copy",this.copy.bind(this)),fabric.util.addListener(this.hiddenTextarea,"cut",this.copy.bind(this)),fabric.util.addListener(this.hiddenTextarea,"paste",this.paste.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionstart",this.onCompositionStart.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionupdate",this.onCompositionUpdate.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionend",this.onCompositionEnd.bind(this)),!this._clickHandlerInitialized&&this.canvas&&(fabric.util.addListener(this.canvas.upperCanvasEl,"click",this.onClick.bind(this)),this._clickHandlerInitialized=!0)},keysMap:{9:"exitEditing",27:"exitEditing",33:"moveCursorUp",34:"moveCursorDown",35:"moveCursorRight",36:"moveCursorLeft",37:"moveCursorLeft",38:"moveCursorUp",39:"moveCursorRight",40:"moveCursorDown"},ctrlKeysMapUp:{67:"copy",88:"cut"},ctrlKeysMapDown:{65:"selectAll"},onClick:function(){this.hiddenTextarea&&this.hiddenTextarea.focus()},onKeyDown:function(t){if(this.isEditing){if(t.keyCode in this.keysMap)this[this.keysMap[t.keyCode]](t);else{if(!(t.keyCode in this.ctrlKeysMapDown&&(t.ctrlKey||t.metaKey)))return;this[this.ctrlKeysMapDown[t.keyCode]](t)}t.stopImmediatePropagation(),t.preventDefault(),33<=t.keyCode&&t.keyCode<=40?(this.inCompositionMode=!1,this.clearContextTop(),this.renderCursorOrSelection()):this.canvas&&this.canvas.requestRenderAll()}},onKeyUp:function(t){!this.isEditing||this._copyDone||this.inCompositionMode?this._copyDone=!1:t.keyCode in this.ctrlKeysMapUp&&(t.ctrlKey||t.metaKey)&&(this[this.ctrlKeysMapUp[t.keyCode]](t),t.stopImmediatePropagation(),t.preventDefault(),this.canvas&&this.canvas.requestRenderAll())},onInput:function(t){var e=this.fromPaste;if(this.fromPaste=!1,t&&t.stopPropagation(),this.isEditing){var i,r,n,s,o,a=this._splitTextIntoLines(this.hiddenTextarea.value).graphemeText,h=this._text.length,c=a.length,l=c-h,u=this.selectionStart,f=this.selectionEnd,d=u!==f;if(""===this.hiddenTextarea.value)return this.styles={},this.updateFromTextArea(),this.fire("changed"),void(this.canvas&&(this.canvas.fire("text:changed",{target:this}),this.canvas.requestRenderAll()));var g=this.fromStringToGraphemeSelection(this.hiddenTextarea.selectionStart,this.hiddenTextarea.selectionEnd,this.hiddenTextarea.value),p=u>g.selectionStart;d?(i=this._text.slice(u,f),l+=f-u):c<h&&(i=p?this._text.slice(f+l,f):this._text.slice(u,u-l)),r=a.slice(g.selectionEnd-l,g.selectionEnd),i&&i.length&&(r.length&&(n=this.getSelectionStyles(u,u+1,!1),n=r.map(function(){return n[0]})),d?(s=u,o=f):p?(s=f-i.length,o=f):o=(s=f)+i.length,this.removeStyleFromTo(s,o)),r.length&&(e&&r.join("")===fabric.copiedText&&!fabric.disableStyleCopyPaste&&(n=fabric.copiedTextStyle),this.insertNewStyleBlock(r,u,n)),this.updateFromTextArea(),this.fire("changed"),this.canvas&&(this.canvas.fire("text:changed",{target:this}),this.canvas.requestRenderAll())}},onCompositionStart:function(){this.inCompositionMode=!0},onCompositionEnd:function(){this.inCompositionMode=!1},onCompositionUpdate:function(t){this.compositionStart=t.target.selectionStart,this.compositionEnd=t.target.selectionEnd,this.updateTextareaPosition()},copy:function(){this.selectionStart!==this.selectionEnd&&(fabric.copiedText=this.getSelectedText(),fabric.disableStyleCopyPaste?fabric.copiedTextStyle=null:fabric.copiedTextStyle=this.getSelectionStyles(this.selectionStart,this.selectionEnd,!0),this._copyDone=!0)},paste:function(){this.fromPaste=!0},_getClipboardData:function(t){return t&&t.clipboardData||fabric.window.clipboardData},_getWidthBeforeCursor:function(t,e){var i,r=this._getLineLeftOffset(t);return 0<e&&(r+=(i=this.__charBounds[t][e-1]).left+i.width),r},getDownCursorOffset:function(t,e){var i=this._getSelectionForOffset(t,e),r=this.get2DCursorLocation(i),n=r.lineIndex;if(n===this._textLines.length-1||t.metaKey||34===t.keyCode)return this._text.length-i;var s=r.charIndex,o=this._getWidthBeforeCursor(n,s),a=this._getIndexOnLine(n+1,o);return this._textLines[n].slice(s).length+a+1+this.missingNewlineOffset(n)},_getSelectionForOffset:function(t,e){return t.shiftKey&&this.selectionStart!==this.selectionEnd&&e?this.selectionEnd:this.selectionStart},getUpCursorOffset:function(t,e){var i=this._getSelectionForOffset(t,e),r=this.get2DCursorLocation(i),n=r.lineIndex;if(0===n||t.metaKey||33===t.keyCode)return-i;var s=r.charIndex,o=this._getWidthBeforeCursor(n,s),a=this._getIndexOnLine(n-1,o),h=this._textLines[n].slice(0,s),c=this.missingNewlineOffset(n-1);return-this._textLines[n-1].length+a-h.length+(1-c)},_getIndexOnLine:function(t,e){for(var i,r,n=this._textLines[t],s=this._getLineLeftOffset(t),o=0,a=0,h=n.length;a<h;a++)if(e<(s+=i=this.__charBounds[t][a].width)){r=!0;var c=s-i,l=s,u=Math.abs(c-e);o=Math.abs(l-e)<u?a:a-1;break}return r||(o=n.length-1),o},moveCursorDown:function(t){this.selectionStart>=this._text.length&&this.selectionEnd>=this._text.length||this._moveCursorUpOrDown("Down",t)},moveCursorUp:function(t){0===this.selectionStart&&0===this.selectionEnd||this._moveCursorUpOrDown("Up",t)},_moveCursorUpOrDown:function(t,e){var i=this["get"+t+"CursorOffset"](e,"right"===this._selectionDirection);e.shiftKey?this.moveCursorWithShift(i):this.moveCursorWithoutShift(i),0!==i&&(this.setSelectionInBoundaries(),this.abortCursorAnimation(),this._currentCursorOpacity=1,this.initDelayedCursor(),this._fireSelectionChanged(),this._updateTextarea())},moveCursorWithShift:function(t){var e="left"===this._selectionDirection?this.selectionStart+t:this.selectionEnd+t;return this.setSelectionStartEndWithShift(this.selectionStart,this.selectionEnd,e),0!==t},moveCursorWithoutShift:function(t){return t<0?(this.selectionStart+=t,this.selectionEnd=this.selectionStart):(this.selectionEnd+=t,this.selectionStart=this.selectionEnd),0!==t},moveCursorLeft:function(t){0===this.selectionStart&&0===this.selectionEnd||this._moveCursorLeftOrRight("Left",t)},_move:function(t,e,i){var r;if(t.altKey)r=this["findWordBoundary"+i](this[e]);else{if(!t.metaKey&&35!==t.keyCode&&36!==t.keyCode)return this[e]+="Left"===i?-1:1,!0;r=this["findLineBoundary"+i](this[e])}if(void 0!==typeof r&&this[e]!==r)return this[e]=r,!0},_moveLeft:function(t,e){return this._move(t,e,"Left")},_moveRight:function(t,e){return this._move(t,e,"Right")},moveCursorLeftWithoutShift:function(t){var e=!0;return this._selectionDirection="left",this.selectionEnd===this.selectionStart&&0!==this.selectionStart&&(e=this._moveLeft(t,"selectionStart")),this.selectionEnd=this.selectionStart,e},moveCursorLeftWithShift:function(t){return"right"===this._selectionDirection&&this.selectionStart!==this.selectionEnd?this._moveLeft(t,"selectionEnd"):0!==this.selectionStart?(this._selectionDirection="left",this._moveLeft(t,"selectionStart")):void 0},moveCursorRight:function(t){this.selectionStart>=this._text.length&&this.selectionEnd>=this._text.length||this._moveCursorLeftOrRight("Right",t)},_moveCursorLeftOrRight:function(t,e){var i="moveCursor"+t+"With";this._currentCursorOpacity=1,e.shiftKey?i+="Shift":i+="outShift",this[i](e)&&(this.abortCursorAnimation(),this.initDelayedCursor(),this._fireSelectionChanged(),this._updateTextarea())},moveCursorRightWithShift:function(t){return"left"===this._selectionDirection&&this.selectionStart!==this.selectionEnd?this._moveRight(t,"selectionStart"):this.selectionEnd!==this._text.length?(this._selectionDirection="right",this._moveRight(t,"selectionEnd")):void 0},moveCursorRightWithoutShift:function(t){var e=!0;return this._selectionDirection="right",this.selectionStart===this.selectionEnd?(e=this._moveRight(t,"selectionStart"),this.selectionEnd=this.selectionStart):this.selectionStart=this.selectionEnd,e},removeChars:function(t,e){void 0===e&&(e=t+1),this.removeStyleFromTo(t,e),this._text.splice(t,e-t),this.text=this._text.join(""),this.set("dirty",!0),this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords()),this._removeExtraneousStyles()},insertChars:function(t,e,i,r){void 0===r&&(r=i),i<r&&this.removeStyleFromTo(i,r);var n=fabric.util.string.graphemeSplit(t);this.insertNewStyleBlock(n,i,e),this._text=[].concat(this._text.slice(0,i),n,this._text.slice(r)),this.text=this._text.join(""),this.set("dirty",!0),this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords()),this._removeExtraneousStyles()}}),function(){var l=fabric.util.toFixed,u=/  +/g;fabric.util.object.extend(fabric.Text.prototype,{_toSVG:function(){var t=this._getSVGLeftTopOffsets(),e=this._getSVGTextAndBg(t.textTop,t.textLeft);return this._wrapSVGTextAndBg(e)},toSVG:function(t){return this._createBaseSVGMarkup(this._toSVG(),{reviver:t,noStyle:!0,withShadow:!0})},_getSVGLeftTopOffsets:function(){return{textLeft:-this.width/2,textTop:-this.height/2,lineTop:this.getHeightOfLine(0)}},_wrapSVGTextAndBg:function(t){var e=this.getSvgTextDecoration(this);return[t.textBgRects.join(""),'\t\t<text xml:space="preserve" ',this.fontFamily?'font-family="'+this.fontFamily.replace(/"/g,"'")+'" ':"",this.fontSize?'font-size="'+this.fontSize+'" ':"",this.fontStyle?'font-style="'+this.fontStyle+'" ':"",this.fontWeight?'font-weight="'+this.fontWeight+'" ':"",e?'text-decoration="'+e+'" ':"",'style="',this.getSvgStyles(!0),'"',this.addPaintOrder()," >",t.textSpans.join(""),"</text>\n"]},_getSVGTextAndBg:function(t,e){var i,r=[],n=[],s=t;this._setSVGBg(n);for(var o=0,a=this._textLines.length;o<a;o++)i=this._getLineLeftOffset(o),(this.textBackgroundColor||this.styleHas("textBackgroundColor",o))&&this._setSVGTextLineBg(n,o,e+i,s),this._setSVGTextLineText(r,o,e+i,s),s+=this.getHeightOfLine(o);return{textSpans:r,textBgRects:n}},_createTextCharSpan:function(t,e,i,r){var n=t!==t.trim()||t.match(u),s=this.getSvgSpanStyles(e,n),o=s?'style="'+s+'"':"",a=e.deltaY,h="",c=fabric.Object.NUM_FRACTION_DIGITS;return a&&(h=' dy="'+l(a,c)+'" '),['<tspan x="',l(i,c),'" y="',l(r,c),'" ',h,o,">",fabric.util.string.escapeXml(t),"</tspan>"].join("")},_setSVGTextLineText:function(t,e,i,r){var n,s,o,a,h,c=this.getHeightOfLine(e),l=-1!==this.textAlign.indexOf("justify"),u="",f=0,d=this._textLines[e];r+=c*(1-this._fontSizeFraction)/this.lineHeight;for(var g=0,p=d.length-1;g<=p;g++)h=g===p||this.charSpacing,u+=d[g],o=this.__charBounds[e][g],0===f?(i+=o.kernedWidth-o.width,f+=o.width):f+=o.kernedWidth,l&&!h&&this._reSpaceAndTab.test(d[g])&&(h=!0),h||(n=n||this.getCompleteStyleDeclaration(e,g),s=this.getCompleteStyleDeclaration(e,g+1),h=this._hasStyleChangedForSvg(n,s)),h&&(a=this._getStyleDeclaration(e,g)||{},t.push(this._createTextCharSpan(u,a,i,r)),u="",n=s,i+=f,f=0)},_pushTextBgRect:function(t,e,i,r,n,s){var o=fabric.Object.NUM_FRACTION_DIGITS;t.push("\t\t<rect ",this._getFillAttributes(e),' x="',l(i,o),'" y="',l(r,o),'" width="',l(n,o),'" height="',l(s,o),'"></rect>\n')},_setSVGTextLineBg:function(t,e,i,r){for(var n,s,o=this._textLines[e],a=this.getHeightOfLine(e)/this.lineHeight,h=0,c=0,l=this.getValueOfPropertyAt(e,0,"textBackgroundColor"),u=0,f=o.length;u<f;u++)n=this.__charBounds[e][u],(s=this.getValueOfPropertyAt(e,u,"textBackgroundColor"))!==l?(l&&this._pushTextBgRect(t,l,i+c,r,h,a),c=n.left,h=n.width,l=s):h+=n.kernedWidth;s&&this._pushTextBgRect(t,s,i+c,r,h,a)},_getFillAttributes:function(t){var e=t&&"string"==typeof t?new fabric.Color(t):"";return e&&e.getSource()&&1!==e.getAlpha()?'opacity="'+e.getAlpha()+'" fill="'+e.setAlpha(1).toRgb()+'"':'fill="'+t+'"'},_getSVGLineTopOffset:function(t){for(var e,i=0,r=0;r<t;r++)i+=this.getHeightOfLine(r);return e=this.getHeightOfLine(r),{lineTop:i,offset:(this._fontSizeMult-this._fontSizeFraction)*e/(this.lineHeight*this._fontSizeMult)}},getSvgStyles:function(t){return fabric.Object.prototype.getSvgStyles.call(this,t)+" white-space: pre;"}})}(),function(t){"use strict";var b=t.fabric||(t.fabric={});b.Textbox=b.util.createClass(b.IText,b.Observable,{type:"textbox",minWidth:20,dynamicMinWidth:2,__cachedLines:null,lockScalingFlip:!0,noScaleCache:!1,_dimensionAffectingProps:b.Text.prototype._dimensionAffectingProps.concat("width"),_wordJoiners:/[ \t\r]/,splitByGrapheme:!1,initDimensions:function(){this.__skipDimension||(this.isEditing&&this.initDelayedCursor(),this.clearContextTop(),this._clearCache(),this.dynamicMinWidth=0,this._styleMap=this._generateStyleMap(this._splitText()),this.dynamicMinWidth>this.width&&this._set("width",this.dynamicMinWidth),-1!==this.textAlign.indexOf("justify")&&this.enlargeSpaces(),this.height=this.calcTextHeight(),this.saveState({propertySet:"_dimensionAffectingProps"}))},_generateStyleMap:function(t){for(var e=0,i=0,r=0,n={},s=0;s<t.graphemeLines.length;s++)"\n"===t.graphemeText[r]&&0<s?(i=0,r++,e++):!this.splitByGrapheme&&this._reSpaceAndTab.test(t.graphemeText[r])&&0<s&&(i++,r++),n[s]={line:e,offset:i},r+=t.graphemeLines[s].length,i+=t.graphemeLines[s].length;return n},styleHas:function(t,e){if(this._styleMap&&!this.isWrapping){var i=this._styleMap[e];i&&(e=i.line)}return b.Text.prototype.styleHas.call(this,t,e)},isEmptyStyles:function(t){if(!this.styles)return!0;var e,i,r=0,n=!1,s=this._styleMap[t],o=this._styleMap[t+1];for(var a in s&&(t=s.line,r=s.offset),o&&(n=o.line===t,e=o.offset),i=void 0===t?this.styles:{line:this.styles[t]})for(var h in i[a])if(r<=h&&(!n||h<e))for(var c in i[a][h])return!1;return!0},_getStyleDeclaration:function(t,e){if(this._styleMap&&!this.isWrapping){var i=this._styleMap[t];if(!i)return null;t=i.line,e=i.offset+e}return this.callSuper("_getStyleDeclaration",t,e)},_setStyleDeclaration:function(t,e,i){var r=this._styleMap[t];t=r.line,e=r.offset+e,this.styles[t][e]=i},_deleteStyleDeclaration:function(t,e){var i=this._styleMap[t];t=i.line,e=i.offset+e,delete this.styles[t][e]},_getLineStyle:function(t){var e=this._styleMap[t];return!!this.styles[e.line]},_setLineStyle:function(t){var e=this._styleMap[t];this.styles[e.line]={}},_wrapText:function(t,e){var i,r=[];for(this.isWrapping=!0,i=0;i<t.length;i++)r=r.concat(this._wrapLine(t[i],i,e));return this.isWrapping=!1,r},_measureWord:function(t,e,i){var r,n=0;i=i||0;for(var s=0,o=t.length;s<o;s++){n+=this._getGraphemeBox(t[s],e,s+i,r,!0).kernedWidth,r=t[s]}return n},_wrapLine:function(t,e,i,r){var n=0,s=this.splitByGrapheme,o=[],a=[],h=s?b.util.string.graphemeSplit(t):t.split(this._wordJoiners),c="",l=0,u=s?"":" ",f=0,d=0,g=0,p=!0,v=this._getWidthOfCharSpacing();r=r||0;0===h.length&&h.push([]),i-=r;for(var m=0;m<h.length;m++)c=s?h[m]:b.util.string.graphemeSplit(h[m]),f=this._measureWord(c,e,l),l+=c.length,i<(n+=d+f-v)&&!p?(o.push(a),a=[],n=f,p=!0):n+=v,p||s||a.push(u),a=a.concat(c),d=s?0:this._measureWord([u],e,l),l++,p=!1,g<f&&(g=f);return m&&o.push(a),g+r>this.dynamicMinWidth&&(this.dynamicMinWidth=g-v+r),o},isEndOfWrapping:function(t){return!this._styleMap[t+1]||this._styleMap[t+1].line!==this._styleMap[t].line},missingNewlineOffset:function(t){return this.splitByGrapheme?this.isEndOfWrapping(t)?1:0:1},_splitTextIntoLines:function(t){for(var e=b.Text.prototype._splitTextIntoLines.call(this,t),i=this._wrapText(e.lines,this.width),r=new Array(i.length),n=0;n<i.length;n++)r[n]=i[n].join("");return e.lines=r,e.graphemeLines=i,e},getMinWidth:function(){return Math.max(this.minWidth,this.dynamicMinWidth)},_removeExtraneousStyles:function(){var t={};for(var e in this._styleMap)this._textLines[e]&&(t[this._styleMap[e].line]=1);for(var e in this.styles)t[e]||delete 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diff --git a/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_1001.json b/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_1001.json
new file mode 100644
index 0000000000..ab5352f957
--- /dev/null
+++ b/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_1001.json
@@ -0,0 +1 @@
+contig1001 = [{"split":"Day17a_QCcontig1001_split_00001","gene_callers_id":19391,"start_in_split":2,"stop_in_split":275,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":2,"stop_in_contig":275,"call_type":1,"complete_gene_call":"No","length":273,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG3266!!!COG4193!!!COG5632!!!COG5632!!!COG5632","Cell division protein DamX, binds to the septal ring, contains C-terminal SPOR domain!!!Beta- N-acetylglucosaminidase!!!N-acetylmuramoyl-L-alanine amidase CwlA!!!N-acetylmuramoyl-L-alanine amidase CwlA!!!N-acetylmuramoyl-L-alanine amidase CwlA",4.3e-17],"COG14_CATEGORY":["D!!!M!!!G","D!!!M!!!G",0],"COG_CATEGORY":["D!!!M!!!G","D!!!M!!!G",0],"COG_FUNCTION":["COG3266!!!COG4193!!!COG5632!!!COG5632!!!COG5632","Cell division protein DamX, binds to the septal ring, contains C-terminal SPOR domain!!!Beta- N-acetylglucosaminidase!!!N-acetylmuramoyl-L-alanine amidase CwlA!!!N-acetylmuramoyl-L-alanine amidase CwlA!!!N-acetylmuramoyl-L-alanine amidase CwlA",4.3e-17]},"aa_sequence":"NNPNASIAYARRQGWTSPRNGIIGGAKFVRKQFFNKGKNTLYRMRWNPKNPGHMQYATAIEWCNFQATTISSLYKKVGAKGMYYIRDKYR","level":1},{"split":"Day17a_QCcontig1001_split_00001","gene_callers_id":19392,"start_in_split":330,"stop_in_split":840,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":330,"stop_in_contig":840,"call_type":1,"complete_gene_call":"Yes","length":510,"functions":null,"aa_sequence":"MLINVLNLNDSQDGNRIKQGDLSHMRYILSDTNNDDLKLDGLPAKVFLTDSTGVKYIYDTTVRQYDNAYVCDVVINQIIPANTYSLEIWVDNKYVFPSDNKAKIQVTESVIGRQLINTQNHDLWQEMIEYGVKNGLIKNQTESEENFVIGENEPTDTTKIWIDTTGGNE","level":2},{"split":"Day17a_QCcontig1001_split_00001","gene_callers_id":19393,"start_in_split":839,"stop_in_split":1370,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":839,"stop_in_contig":1370,"call_type":1,"complete_gene_call":"Yes","length":531,"functions":null,"aa_sequence":"MKAIPKIFDKEKGQWIELMAKPIAEEVVKIMKEDWLSNKKTIDYWLLSYKEQGMAEPIQLAIFTDGNEVDETLKSNLEWSFNGYVSNLQNKKLFNLQGFINDCYSRKIELPKQFKVNATVNFDSLDEPIYLQEIDNITTNVDVIGMLDESSKGSIEVKYIYNDHPIEEKKLIKENK","level":1}]
diff --git a/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_437.json b/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_437.json
new file mode 100644
index 0000000000..559c8a8d08
--- /dev/null
+++ b/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_437.json
@@ -0,0 +1 @@
+contig437 = [{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14893,"start_in_split":197,"stop_in_split":515,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":197,"stop_in_contig":515,"call_type":1,"complete_gene_call":"Yes","length":318,"functions":null,"aa_sequence":"MNNNEKHNFINKHSKYVTRTTERATYPNGIIIKDFTSTQKVDYGENLNESIKSDVEPIYHSGEHYEEEYIFIENGMEVFRFLGDVTSLVTDFVENIKQYLDEKSS","level":1},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14894,"start_in_split":750,"stop_in_split":879,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":750,"stop_in_contig":879,"call_type":1,"complete_gene_call":"Yes","length":129,"functions":null,"aa_sequence":"MKKLEDDVLLKDLDWYENCIYKIEYVKYEIELLKKKREIKCL","level":1},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14895,"start_in_split":859,"stop_in_split":1462,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":859,"stop_in_contig":1462,"call_type":1,"complete_gene_call":"Yes","length":603,"functions":null,"aa_sequence":"MKSYLQEFHILIKYILFIFYVISFVFISYNFNKLFILFINKIIKPIFIENVETSLAVLAIYIGSIIIVSFIFDLLYFIMVHKIYDNFYNLSPFLTLLTGLYTTFISMFNFPKLFLENHNKEFKKNLPIAMEPWNNHFFVIFLFLVIATFTLNFLKSRQDIKEKEAKKYLIYREIQIEKPKYKYIEKTSYKEGNYNEKIRR","level":2},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14896,"start_in_split":1574,"stop_in_split":2492,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":1574,"stop_in_contig":2492,"call_type":1,"complete_gene_call":"Yes","length":918,"functions":{"KOfam":["K01447","N-acetylmuramoyl-L-alanine 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exonuclease",9.8e-142]},"aa_sequence":"MQFSYSRVDLFKRCPYHFKLRYIDRLTELPNYEANSPLIVGHALHTGIEKGKKAMLKEFYNAFPLVTNDVINEAIKLEHNLEKAKEWLSDFNNSFSFTGGYVFIHEYEINKPEFIGFVDLIVKRKGTNDIAIIDFKYSNAIEKYKESPQLQIYKYYLEQEGYNVIAMGYLFLPKTSIRQKKDEDLIQFRKRLNVTMRKLKTTCLKIEPQEMEIIYFLNECKEIKEAIQEKTFNWIKNPNDECFACNPRFAPEYLEQLRDDKGELIMTLPKNIRREKKIDERPDFWIYGDSYVGKSTFVDKFDDLLFLNTDGNTDNTTSPVINIKDEVVKEGRITKRTFAWEQFLNVVSELETDKDSGFKAIAIDLFEDLREHCRIYVFDKNGWEHESDGGYGKGWAMVKTEFNNAIKRLKNLGYQIIYISKEVKSETTLKGGAVRTNFIPNIDDKTANFTTGTVDLTIRAFMNSDGVRLLQLSKQRNVFGGGRFNFLNDTCELSKDEFIQELINAQKASHAKITAKIKPIKEEIKEDKSVKQTVKEETKGTEEVPPGETITDKEEVIEEPKRKTRKRKSSTKEAVEEAKAEEKEETLDEKPKRTRRSRRKKTE","level":2},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14931,"start_in_split":31531,"stop_in_split":31843,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":31531,"stop_in_contig":31843,"call_type":1,"complete_gene_call":"Yes","length":312,"functions":null,"aa_sequence":"MKVVPLTKTYKNEAAFQNDVMQFLKHNPNAFAVKYWAGNKFTVNGIPDVLACINGVFHGIELKTNTGVVRGIQKERMKQIKLAGGEAYVLRPKDFEEWKRTWF","level":1},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14932,"start_in_split":31820,"stop_in_split":32138,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":31820,"stop_in_contig":32138,"call_type":1,"complete_gene_call":"Yes","length":318,"functions":null,"aa_sequence":"MIENLNLRYTEDILNNTNWINKDGEILDPISMDEGHIQNTLRLLYRNRDQLWLGCRDFTLIDVYLNGEDFFQKVIRKSTLWKSLIKALNKPSTSFNFDYEGGSID","level":2},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14933,"start_in_split":32140,"stop_in_split":33382,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":32140,"stop_in_contig":33382,"call_type":1,"complete_gene_call":"Yes","length":1242,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG0553","Superfamily II DNA or RNA helicase, SNF2 family",1.3e-108],"COG14_CATEGORY":["K!!!L","K!!!L",0],"COG_CATEGORY":["K!!!L","K!!!L",0],"COG_FUNCTION":["COG0553","Superfamily II DNA or RNA helicase, SNF2 family",1.3e-108]},"aa_sequence":"MYIQLFPHQERALEQTEQFNNVAYYLDMGLGKTFVGSEKLWELNSPYNLVICQKSKLEDWYQHFKEYYSDDYKVILFDREKLEYIEENSILIINYEKAIVRPELKKIRNFTLLLDESQYIKNPKSQRTKLIMNELKPSNVILLSGTPIDGKYEELLTQINLLGWKIKEKMFLSHYTYREWDEKEMKYKIVGYKNIDRLKRKLRNYGCVFMKTEEVFDLPKQTNIFLKPKKTKEYDEFIREGIVQLKDRKLIAETASVGTMNARLLCTAFNQNKLSMLKDLLESTEDRLIIFYQYNLEKEAIENVVKELNKPISYINGDLVDKNAYENKKSSITLVQYQSGSFGHNLQKANKIIFFGLPNRVSFFEQSRKRTHRIGQERPCFYYYMLTLGTYEWKNYQTLVDGKDYNDELFKEE","level":1},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14934,"start_in_split":33383,"stop_in_split":33473,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":33383,"stop_in_contig":33473,"call_type":1,"complete_gene_call":"Yes","length":90,"functions":null,"aa_sequence":"MNIEEFIYSINKIKEMLFEKNTEHRNENK","level":2},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14935,"start_in_split":33529,"stop_in_split":33724,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":33529,"stop_in_contig":33724,"call_type":1,"complete_gene_call":"Yes","length":195,"functions":null,"aa_sequence":"MDKSFLAFIIADFIFITMSILLGLLGVYFTTAIGWGALIAIIAFLFYDLYFFRKVIKTIKHGNA","level":1},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14936,"start_in_split":33739,"stop_in_split":34063,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":33739,"stop_in_contig":34063,"call_type":1,"complete_gene_call":"Yes","length":324,"functions":null,"aa_sequence":"MIELLNLDVLNNIIDSRILMNSPQNKEDELTAWWDIEDLKRECKKGNQWCIDMLNYPPFKNELTKLKIVYYPKHNREGYSMVAKQMKQWLIENHSIIRESASIFRTS","level":2},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14937,"start_in_split":34116,"stop_in_split":34308,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":34116,"stop_in_contig":34308,"call_type":1,"complete_gene_call":"Yes","length":192,"functions":null,"aa_sequence":"MLEQLTIKKWRVMNDMLQQDVADKLGVTRKTVGEWEKEGANISNVTVYALAKLFNIEIDQIKV","level":1},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14938,"start_in_split":34468,"stop_in_split":34804,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":34468,"stop_in_contig":34804,"call_type":1,"complete_gene_call":"Yes","length":336,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG1476","DNA-binding transcriptional regulator, XRE-family HTH domain",6.9e-9],"COG14_CATEGORY":["K","K",0],"COG_CATEGORY":["K","K",0],"COG_FUNCTION":["COG1476","DNA-binding transcriptional regulator, XRE-family HTH domain",6.9e-9]},"aa_sequence":"MGTKSARKIFSENLQRLMRNKNVDQKELAEAIGVTQPTISNWIKEVKYPRIKRIQTLADYFNVPKSELTEENFVVSKNQIAAHITPDVTEDEMREIINFIEYIKSKRNSDK","level":1},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14939,"start_in_split":34959,"stop_in_split":35334,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":34959,"stop_in_contig":35334,"call_type":1,"complete_gene_call":"Yes","length":375,"functions":null,"aa_sequence":"MHQYKELIDDINIKYIEMPNKLECLISGNDLYINERLSSSSYIRETSESYYSQSNKVTSLIPLNQIENAVITHNCTTLLKLSEFFKLPTTFIFLNLYFYSIKYSNLSFLNIFQIKRLNFNQIDT","level":1},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14940,"start_in_split":35374,"stop_in_split":36106,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":35374,"stop_in_contig":36106,"call_type":1,"complete_gene_call":"Yes","length":732,"functions":null,"aa_sequence":"MLTNLFTILWLIISIIFITFITITFVKGIKQKRYKPFLIFSIITFIVGLICFILMMIFYNIKLDNFKTITLKDGYYEVGKDIKPGHYEIKSKDNKGYIAIKGKSNYRSLNEEFGNKYGTKNKPTVPSVTTYLFKGDKISLDNTVITTFKQVENKKMNKLSAGMWIVGKDIEPGKYKVHLTYPREYGGTINILTYNFTDKSYFLSGEEAEDIGVKEFEVELKENQDFIIHHIYSVTLDKEKTSQ","level":2},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14941,"start_in_split":36151,"stop_in_split":36421,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":36151,"stop_in_contig":36421,"call_type":1,"complete_gene_call":"Yes","length":270,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG0582","Integrase",2.8e-13],"COG14_CATEGORY":["X!!!L","X!!!L",0],"COG_CATEGORY":["X!!!L","X!!!L",0],"COG_FUNCTION":["COG0582","Integrase",2.8e-13]},"aa_sequence":"MKVTKRGNSWQYDFRFEGKRYRKTSFKTKRDATQAANKLLNDLTKGLITNNKITLTKYLNDWKEIYIKEYVSSKTYKNYCRYDKVRIIV","level":1}]
diff --git a/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_798.json b/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_798.json
new file mode 100644
index 0000000000..bdc439f172
--- /dev/null
+++ b/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_798.json
@@ -0,0 +1 @@
+contig798 = [{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18010,"start_in_split":1,"stop_in_split":676,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":1,"stop_in_contig":676,"call_type":1,"complete_gene_call":"No","length":675,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG0582","Integrase",3.7e-33],"COG14_CATEGORY":["X!!!L","X!!!L",0],"COG_CATEGORY":["X!!!L","X!!!L",0],"COG_FUNCTION":["COG0582","Integrase",3.7e-33]},"aa_sequence":"MKKDPTYNVNIKGTEKAKDEKFKFITIKDYLNLLDYFKKRDEESYVLLYLLGITGARYSDVINMTYKDLNKANGIIHLPGTKTKNSKRDVEVNSKDIMHINSKLAKMPRRIDGKLFSVSHTSVSKAFRKAKEVIGLNDNNITPYSLRHTHTSYLLSKGIPIEYISKRLGHATISQTLDTYSHLLEEHKKEQGQRVREIFSWHLFDTYSLEIPSYQRYSTETEGFE","level":1},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18011,"start_in_split":653,"stop_in_split":1142,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":653,"stop_in_contig":1142,"call_type":1,"complete_gene_call":"Yes","length":489,"functions":null,"aa_sequence":"MATFTVTKRKNKKSSSWQYDVKHPSLKSGKKRKSGFKTKAEATNAAQQFIRDLEDGNNIEDNKKFIDYYDDWIKIKNKKQLSSKQFYWYERSIKLFSEYFGENMLVKNITRSEYQKFLNQYAQGXXXXXXXXXXXXXXXXXXXXXXXXXRVIRWLFEERPYL","level":2},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18012,"start_in_split":1202,"stop_in_split":1784,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":1202,"stop_in_contig":1784,"call_type":1,"complete_gene_call":"Yes","length":582,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG1202!!!COG1202","Superfamily II helicase, archaea-specific!!!Superfamily II helicase, archaea-specific",3e-7],"COG14_CATEGORY":["L","L",0],"COG_CATEGORY":["L","L",0],"COG_FUNCTION":["COG1202!!!COG1202","Superfamily II helicase, archaea-specific!!!Superfamily II helicase, archaea-specific",3e-7]},"aa_sequence":"MKKVLFLIFASLLVLGACGQDEHKPNKDDNKKSESKSDKKSNDPKKDKKSDDKKVDSKDEKQSESKNNSDDTTNNESESTSKNDNGKSQSNNGNNERIQGKQTTQQSDNQQPQNNNGYMSQAEIDEWNRTKPTTHDESQMGYGRSEYEEARKASEKVWNNPNAHVGGPGWVGKNEGYDSWAKRQQEVQNTPAE","level":1},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18013,"start_in_split":1807,"stop_in_split":2371,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":1807,"stop_in_contig":2371,"call_type":1,"complete_gene_call":"Yes","length":564,"functions":null,"aa_sequence":"MKKVLFILLSCFLVLVACSNNNNNSKKSTSVDENKVQFTNDTLVLDQAVLKIKDTFLVNDKDLDNGKKLLAFKYEVKSKDGNEQITPMNVWIASMEAVQDSENTESKLEVGPTPNTGKFEEWDKHNGDVIKKGKTAKGIITYELENDKQVTLKATKGTEGKKLGNKKIDVSKLKTVDYSAADDIANN","level":2},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18014,"start_in_split":2422,"stop_in_split":3061,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":2422,"stop_in_contig":3061,"call_type":1,"complete_gene_call":"Yes","length":639,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG1476","DNA-binding transcriptional regulator, XRE-family HTH domain",0.0000061],"COG14_CATEGORY":["K","K",0],"COG_CATEGORY":["K","K",0],"COG_FUNCTION":["COG1476","DNA-binding transcriptional regulator, XRE-family HTH domain",0.0000061]},"aa_sequence":"MAFKHSIKEIRLNNRLSKVEMAKKLDVSEGTIRMWENGKNEPRMGMIEKISSLFHVSKGYLLGEIEEATIPEIDNEIDIPYYGKVSAGNFEEMTVDNKTLKAPSFVFSGRKPSECIALQVNGDSMNKILANGSYIIVHDYRINQDYKLNSNDILVLRLGGEYTVKRVRLTETKLHLEPVSYFDEFKTNTYDIENTNEIEVIGKVIYNYQKFD","level":1},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18015,"start_in_split":3253,"stop_in_split":3514,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":3253,"stop_in_contig":3514,"call_type":1,"complete_gene_call":"Yes","length":261,"functions":null,"aa_sequence":"MNHIKQNLKLDEWRKRKGYTQSSFAYKLGISPSTYNIWENNPEIIKPKDAFKIAKVLEVSIDEIIFLKDESYFKYVLVEEKQHQTI","level":1},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18016,"start_in_split":3529,"stop_in_split":4243,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":3529,"stop_in_contig":4243,"call_type":1,"complete_gene_call":"Yes","length":714,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG3617","Prophage antirepressor",4.7e-39],"COG14_CATEGORY":["X","X",0],"COG_CATEGORY":["X","X",0],"COG_FUNCTION":["COG3617","Prophage antirepressor",4.7e-39]},"aa_sequence":"MRDLQVFNFEELPVRTLTVNEEPCFVGKDVADILGYKRTADAIREHVDAEDKGVGKIQTPGGMQNVTLINESGLYSLIFSSKLESAKRFKRWVTSEVLPTLRKTGTYQVPSDPMQALKLMFKATEQTKEEIATVKADVIDLKENQKLDTGDYNLLSRTINQRVAHIQKIHAITNQKQRSELFRDINSEVKKMTGATSRTNVRQKHFDDVLSMVANWFPSQATLYKIKQLEMDFENEV","level":2},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18017,"start_in_split":4255,"stop_in_split":4465,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":4255,"stop_in_contig":4465,"call_type":1,"complete_gene_call":"Yes","length":210,"functions":null,"aa_sequence":"MEYIGFADAKEFVKVSGISKNDLEKHVYSNKEFQEQCMYRFGKNHKRYIKIRPAIDFIEQNLMMSETAL","level":1},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18018,"start_in_split":4480,"stop_in_split":4630,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":4480,"stop_in_contig":4630,"call_type":1,"complete_gene_call":"Yes","length":150,"functions":null,"aa_sequence":"MNKLQLIKIALLTALLVEEVRNAMGNETIELITKKVNQANADNAEKHLF","level":2},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18019,"start_in_split":4933,"stop_in_split":5206,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":4933,"stop_in_contig":5206,"call_type":1,"complete_gene_call":"Yes","length":273,"functions":null,"aa_sequence":"MKHKLLKIANDLNKLILHSDEEVKVEFRNFIDGKVDISIWHYSQKYEYKCSSLSFYETHTDEELQRSFELAKDVIAGECLIDERNSDISN","level":1},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18020,"start_in_split":5177,"stop_in_split":5414,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":5177,"stop_in_contig":5414,"call_type":1,"complete_gene_call":"Yes","length":237,"functions":null,"aa_sequence":"MKETVTYLIKLKDAPFDLYITNKPSANFPTIKYSTSSGDAKDFDGLDKTVIDMTKHIAIKKTVTETTKFEEVEYDWRT","level":2}]

From 4985dc9c5ed72f97b6ff1ff04806c9ae24ced1b8 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 13 Apr 2021 23:24:15 -0500
Subject: [PATCH 0016/1020] add fabricjs as submodule; use real data!

---
 .gitmodules                                   |  3 +
 anvio/data/interactive/genomeview.html        |  5 +-
 anvio/data/interactive/js/genomeview.js       | 92 ++++++++-----------
 anvio/data/interactive/lib/fabric             |  1 +
 anvio/data/interactive/lib/fabric.js          |  1 -
 .../lib/genomeViewIGDDAta/genedata_1001.json  |  1 -
 .../lib/genomeViewIGDDAta/genedata_437.json   |  1 -
 .../lib/genomeViewIGDDAta/genedata_798.json   |  1 -
 8 files changed, 43 insertions(+), 62 deletions(-)
 create mode 160000 anvio/data/interactive/lib/fabric
 delete mode 100644 anvio/data/interactive/lib/fabric.js
 delete mode 100644 anvio/data/interactive/lib/genomeViewIGDDAta/genedata_1001.json
 delete mode 100644 anvio/data/interactive/lib/genomeViewIGDDAta/genedata_437.json
 delete mode 100644 anvio/data/interactive/lib/genomeViewIGDDAta/genedata_798.json

diff --git a/.gitmodules b/.gitmodules
index 05f46a77aa..1e36ca9171 100644
--- a/.gitmodules
+++ b/.gitmodules
@@ -37,3 +37,6 @@
 [submodule "anvio/data/interactive/lib/JavaScript-MD5"]
 	path = anvio/data/interactive/lib/JavaScript-MD5
 	url = https://github.com/blueimp/JavaScript-MD5.git
+[submodule "anvio/data/interactive/lib/fabric.js"]
+	path = anvio/data/interactive/lib/fabric
+	url = https://github.com/fabricjs/fabric.js.git
diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index ed16297d22..8b1af391e6 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -11,10 +11,7 @@
         <script type="text/javascript" src="./js/genomeview.js"></script>
         <script type="text/javascript" src="./js/constants.js"></script>
 
-        <script src="./lib/fabric.js"></script>
-        <script src="./lib/genomeViewIGDData/genedata_1001.json"></script>
-        <script src="./lib/genomeViewIGDData/genedata_437.json"></script>
-        <script src="./lib/genomeViewIGDData/genedata_798.json"></script>
+        <script src="./lib/fabric/dist/fabric.js"></script>
     </head>
     <body>
         <div class="container">
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 388ab380b4..5c7993a53c 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -22,7 +22,6 @@
 
  var canvas;
  var genomeMax = 0;
- var genomes;
 
  // Settings vars
 
@@ -80,19 +79,17 @@ $(document).ready(function() {
 
           <table class="tftable" border="1">
             <tr><th>Data</th><th>Value</th></tr>
-            <tr><td>Split</td><td>${event.target.gene.split}</td></tr>
-            <tr><td>Start in Contig</td><td>${event.target.gene.start_in_contig}</td></tr>
-            <tr><td>Length</td><td>${event.target.gene.length}</td></tr>
-            <tr><td>Gene Callers ID</td><td>${event.target.gene.gene_callers_id}</td></tr>
-            <tr><td>Gene Cluster</td><td>${idToGC[event.target.gene.gene_callers_id]}</td></tr>
+            <tr><td>Split</td><td>${event.target.gene.contig}</td></tr>
+            <tr><td>Start in Contig</td><td>${event.target.gene.start}</td></tr>
+            <tr><td>Length</td><td>${event.target.gene.stop - event.target.gene.start}</td></tr>
+            <tr><td>Gene Callers ID</td><td>${event.target.geneID}</td></tr>
+            <tr><td>Gene Cluster</td><td>${undefined}</td></tr>
           </table>
           <button>some action</button>
           <button>some other action</button>
           `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
       }
 
-      genomes = [contig437, contig1001, contig798];
-
       $('#gene_color_order').append($('<option>', {
         value: 'Source',
         text: 'Source'
@@ -178,22 +175,25 @@ $(document).ready(function() {
     }
 
     function draw() {
-      for(genes of genomes) {
-        let g = genes[genes.length-1].stop_in_split;
+      // Find max length genome
+      for(let genomeID in genomeData.genomes) {
+        let genome = genomeData.genomes[genomeID].genes.gene_calls;
+        let g = genome[Object.keys(genome).length-1].stop;
         if(g > genomeMax) genomeMax = g;
       }
 
-      var i;
-      for(i = 0; i < genomes.length; i++) {
-        var genome = genomes[i];
-        var label = genome[0].split.substring(9,genome[0].split.indexOf('_', 9));
-        addGenome(label, genome, i+1);
+      var y = 1;
+      for(let genomeID in genomeData.genomes) {
+        let genome = genomeData.genomes[genomeID].genes.gene_calls;
+        let label = genome[0].contig;
+        addGenome(label, genome, genomeID, y)
+        y++;
       }
 
       if(showScale) {
         for(var w = 0; w < genomeMax; w+=scale) {
           canvas.add(new fabric.Line([0,0,0,20], {left: w+(showLabels?120:0),
-                top: (i+1)*(spacing)-24,
+                top: y*(spacing)-24,
                 stroke: 'black',
                 strokeWidth: 1,
                 fontSize: 10,
@@ -201,7 +201,7 @@ $(document).ready(function() {
                 selectable: false}));
 
           canvas.add(new fabric.Text(w/1000 + " kB", {left: w+5+(showLabels?120:0),
-                top: (i+1)*(spacing)-24,
+                top: y*(spacing)-24,
                 stroke: 'black',
                 strokeWidth: .25,
                 fontSize: 15,
@@ -210,12 +210,12 @@ $(document).ready(function() {
         }
 
         canvas.add(new fabric.Line([0,0,100,0], {left: (showLabels?120:0),
-              top: (i+1)*(1.25*spacing)-4,
+              top: y*(1.25*spacing)-4,
               stroke: 'black',
               strokeWidth: 2,
               selectable: false}));
         canvas.add(new fabric.Text("100 nts", {left: 15+(showLabels?120:0),
-              top: (i+1)*(1.25*spacing)-4,
+              top: y*(1.25*spacing)-4,
               stroke: 'black',
               strokeWidth: 1,
               fontSize: 20,
@@ -225,7 +225,7 @@ $(document).ready(function() {
     }
 
     function alignToCluster(gc) {
-      if(!gc || gc in mock_gene_clusters) {
+      if(!gc || gc in genomeData.gene_associations["anvio-pangenome"]) {
         alignToGC = gc;
         showLabels = !gc; // only show labels if changing to default view
         $('#toggle_label_box').attr("checked", showLabels);
@@ -236,12 +236,12 @@ $(document).ready(function() {
       draw();
     }
 
-    function addGenome(label, gene_list, y) {
+    function addGenome(label, gene_list, genomeID, y) {
       var offsetX = 0;
-      if(alignToGC) {
-        var targetGeneID = mock_gene_clusters[alignToGC][label];
-        var targetGene = gene_list.find(gene => gene.gene_callers_id == targetGeneID);
-        var genePos = targetGene.start_in_split + (targetGene.stop_in_split - targetGene.start_in_split) / 2;
+      if(false && alignToGC) { /* TEMPORARILY DISABLED until proper data structure (geneID -> GC) added */
+        var targetGeneID = genomeData.gene_associations["anvio-pangenome"][genomeID][0]; /* TODO: implementation for multiple matching gene IDs */
+        var targetGene = gene_list[targetGeneID];
+        var genePos = targetGene.start + (targetGene.stop - targetGene.start) / 2;
         //var windowCenter = fabric.util.transformPoint({x:canvas.getWidth()/2,y:0}, canvas.viewportTransform)['x'];
         var windowCenter = canvas.getWidth()/2 - canvas.viewportTransform[4]; // canvas.getWidth()/2 is clientX of center of screen
         offsetX = windowCenter - genePos;
@@ -265,10 +265,10 @@ $(document).ready(function() {
       // so for now they are drawn individually
 
       //var geneGroup = new fabric.Group();
-      for(gene of gene_list) {
-        //addGene(gene, y);
+      for(let geneID in gene_list) {
+        let gene = gene_list[geneID];
         //geneGroup.addWithUpdate(geneArrow(gene,y));   // IMPORTANT: only way to select is to select the group or use indices. maybe don't group them but some alternative which lets me scale them all at once?
-        var geneObj = geneArrow(gene,y);
+        var geneObj = geneArrow(gene,geneID,genomeData.genomes[genomeID].genes.functions[geneID],y);
         if(showLabels) {
           geneObj.left += 120;
         }
@@ -281,19 +281,18 @@ $(document).ready(function() {
       //geneGroup.destroy();
     }
 
-    function geneArrow(gene, y) {
+    function geneArrow(gene, geneID, functions, y) {
       var cag = null;
       var color = 'gray';
-      if(gene.functions) {
+      if(functions) {
         switch(color_db) {
           case 'COG':
-            if(gene.functions["COG14_CATEGORY"]) cag = gene.functions["COG14_CATEGORY"][0][0];
-            if(gene.functions["COG20_CATEGORY"]) cag = gene.functions["COG20_CATEGORY"][0][0];
+            if(functions["COG_CATEGORY"]) cag = functions["COG_CATEGORY"][1];
             color = cag in default_COG_colors ? default_COG_colors[cag] : 'gray';
             break;
           case 'KEGG':
-            if(gene.functions.hasOwnProperty("KEGG_Class") && gene.functions.KEGG_Class != null) {
-              cag = getCategoryForKEGGClass(gene.functions["KEGG_Class"][1]);
+            if(functions.hasOwnProperty("KEGG_Class") && functions.KEGG_Class != null) {
+              cag = getCategoryForKEGGClass(functions["KEGG_Class"][1]);
             }
             color = cag in default_KEGG_colors ? default_KEGG_colors[cag] : 'gray';
             break;
@@ -310,14 +309,15 @@ $(document).ready(function() {
       }
       /* Issue here: each genome might be differentially annotated... how to make sure all have COG annotations for example? */
 
-      var length = gene.stop_in_split-gene.start_in_split;
+      var length = gene.stop-gene.start;
       var arrow = new fabric.Path('M 0 0 L ' + length + ' 0 L ' + length + ' 10 L 0 10 M ' + length + ' 0 L ' + length + ' 20 L ' + (25+length) + ' 5 L ' + length + ' -10 z');
       arrow.set({
         id: 'arrow',
-        gene: gene,   // better not to store entire gene object, but a pointer/id to find it in the genomes dict?
         selectable: false,
+        gene: gene,
+        geneID: geneID,
         top: -11+spacing*y,
-        left: 1.5+gene.start_in_split,
+        left: 1.5+gene.start,
         scaleX: 0.5,
         scaleY: 0.5,
         fill: color,
@@ -338,6 +338,7 @@ function initData() {
         type: 'POST',
         cache: false,
         url: '/data/get_genome_view_data',
+        async:false,
         success: function(data) {
             genomeData = data;
             console.log("Saved the following data:");
@@ -373,20 +374,3 @@ function getClassFromKEGGAnnotation(class_str) {
 function getKeyByValue(object, value) {
   return Object.keys(object).find(key => object[key] === value);
 }
-
-var mock_gene_clusters = {'GC_X': {'contig437': 14902,
-                                   'contig1001': 19391,
-                                   'contig798': 18019},
-                          'GC_Y': {'contig437': 14937,
-                                   'contig1001': 19393,
-                                   'contig798': 18011}
-}
-
-var idToGC = {
-  14902: 'GC_X',
-  19391: 'GC_X',
-  18019: 'GC_X',
-  14937: 'GC_Y',
-  19393: 'GC_Y',
-  18011: 'GC_Y'
-}
diff --git a/anvio/data/interactive/lib/fabric b/anvio/data/interactive/lib/fabric
new file mode 160000
index 0000000000..4861f7853c
--- /dev/null
+++ b/anvio/data/interactive/lib/fabric
@@ -0,0 +1 @@
+Subproject commit 4861f7853c663104b1dc98b6f1f0282fb7b76113
diff --git a/anvio/data/interactive/lib/fabric.js b/anvio/data/interactive/lib/fabric.js
deleted file mode 100644
index 19af4f8d85..0000000000
--- a/anvio/data/interactive/lib/fabric.js
+++ /dev/null
@@ -1 +0,0 @@
-var fabric=fabric||{version:"4.3.1"};if("undefined"!=typeof exports?exports.fabric=fabric:"function"==typeof define&&define.amd&&define([],function(){return fabric}),"undefined"!=typeof document&&"undefined"!=typeof window)document instanceof("undefined"!=typeof HTMLDocument?HTMLDocument:Document)?fabric.document=document:fabric.document=document.implementation.createHTMLDocument(""),fabric.window=window;else{var jsdom=require("jsdom"),virtualWindow=new jsdom.JSDOM(decodeURIComponent("%3C!DOCTYPE%20html%3E%3Chtml%3E%3Chead%3E%3C%2Fhead%3E%3Cbody%3E%3C%2Fbody%3E%3C%2Fhtml%3E"),{features:{FetchExternalResources:["img"]},resources:"usable"}).window;fabric.document=virtualWindow.document,fabric.jsdomImplForWrapper=require("jsdom/lib/jsdom/living/generated/utils").implForWrapper,fabric.nodeCanvas=require("jsdom/lib/jsdom/utils").Canvas,fabric.window=virtualWindow,DOMParser=fabric.window.DOMParser}function resizeCanvasIfNeeded(t){var e=t.targetCanvas,i=e.width,r=e.height,n=t.destinationWidth,s=t.destinationHeight;i===n&&r===s||(e.width=n,e.height=s)}function copyGLTo2DDrawImage(t,e){var i=t.canvas,r=e.targetCanvas,n=r.getContext("2d");n.translate(0,r.height),n.scale(1,-1);var s=i.height-r.height;n.drawImage(i,0,s,r.width,r.height,0,0,r.width,r.height)}function copyGLTo2DPutImageData(t,e){var i=e.targetCanvas.getContext("2d"),r=e.destinationWidth,n=e.destinationHeight,s=r*n*4,o=new Uint8Array(this.imageBuffer,0,s),a=new Uint8ClampedArray(this.imageBuffer,0,s);t.readPixels(0,0,r,n,t.RGBA,t.UNSIGNED_BYTE,o);var h=new ImageData(a,r,n);i.putImageData(h,0,0)}fabric.isTouchSupported="ontouchstart"in fabric.window||"ontouchstart"in fabric.document||fabric.window&&fabric.window.navigator&&0<fabric.window.navigator.maxTouchPoints,fabric.isLikelyNode="undefined"!=typeof Buffer&&"undefined"==typeof window,fabric.SHARED_ATTRIBUTES=["display","transform","fill","fill-opacity","fill-rule","opacity","stroke","stroke-dasharray","stroke-linecap","stroke-dashoffset","stroke-linejoin","stroke-miterlimit","stroke-opacity","stroke-width","id","paint-order","vector-effect","instantiated_by_use","clip-path"],fabric.DPI=96,fabric.reNum="(?:[-+]?(?:\\d+|\\d*\\.\\d+)(?:[eE][-+]?\\d+)?)",fabric.commaWsp="(?:\\s+,?\\s*|,\\s*)",fabric.rePathCommand=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:[eE][-+]?\d+)?)/gi,fabric.reNonWord=/[ \n\.,;!\?\-]/,fabric.fontPaths={},fabric.iMatrix=[1,0,0,1,0,0],fabric.svgNS="http://www.w3.org/2000/svg",fabric.perfLimitSizeTotal=2097152,fabric.maxCacheSideLimit=4096,fabric.minCacheSideLimit=256,fabric.charWidthsCache={},fabric.textureSize=2048,fabric.disableStyleCopyPaste=!1,fabric.enableGLFiltering=!0,fabric.devicePixelRatio=fabric.window.devicePixelRatio||fabric.window.webkitDevicePixelRatio||fabric.window.mozDevicePixelRatio||1,fabric.browserShadowBlurConstant=1,fabric.arcToSegmentsCache={},fabric.boundsOfCurveCache={},fabric.cachesBoundsOfCurve=!0,fabric.forceGLPutImageData=!1,fabric.initFilterBackend=function(){return fabric.enableGLFiltering&&fabric.isWebglSupported&&fabric.isWebglSupported(fabric.textureSize)?(console.log("max texture size: "+fabric.maxTextureSize),new fabric.WebglFilterBackend({tileSize:fabric.textureSize})):fabric.Canvas2dFilterBackend?new fabric.Canvas2dFilterBackend:void 0},"undefined"!=typeof document&&"undefined"!=typeof window&&(window.fabric=fabric),function(){function r(t,e){if(this.__eventListeners[t]){var i=this.__eventListeners[t];e?i[i.indexOf(e)]=!1:fabric.util.array.fill(i,!1)}}fabric.Observable={fire:function(t,e){if(!this.__eventListeners)return this;var i=this.__eventListeners[t];if(!i)return this;for(var r=0,n=i.length;r<n;r++)i[r]&&i[r].call(this,e||{});return this.__eventListeners[t]=i.filter(function(t){return!1!==t}),this},on:function(t,e){if(this.__eventListeners||(this.__eventListeners={}),1===arguments.length)for(var i in t)this.on(i,t[i]);else this.__eventListeners[t]||(this.__eventListeners[t]=[]),this.__eventListeners[t].push(e);return this},off:function(t,e){if(!this.__eventListeners)return this;if(0===arguments.length)for(t in this.__eventListeners)r.call(this,t);else if(1===arguments.length&&"object"==typeof t)for(var i in t)r.call(this,i,t[i]);else r.call(this,t,e);return this}}}(),fabric.Collection={_objects:[],add:function(){if(this._objects.push.apply(this._objects,arguments),this._onObjectAdded)for(var t=0,e=arguments.length;t<e;t++)this._onObjectAdded(arguments[t]);return this.renderOnAddRemove&&this.requestRenderAll(),this},insertAt:function(t,e,i){var r=this._objects;return i?r[e]=t:r.splice(e,0,t),this._onObjectAdded&&this._onObjectAdded(t),this.renderOnAddRemove&&this.requestRenderAll(),this},remove:function(){for(var t,e=this._objects,i=!1,r=0,n=arguments.length;r<n;r++)-1!==(t=e.indexOf(arguments[r]))&&(i=!0,e.splice(t,1),this._onObjectRemoved&&this._onObjectRemoved(arguments[r]));return this.renderOnAddRemove&&i&&this.requestRenderAll(),this},forEachObject:function(t,e){for(var i=this.getObjects(),r=0,n=i.length;r<n;r++)t.call(e,i[r],r,i);return this},getObjects:function(e){return void 0===e?this._objects.concat():this._objects.filter(function(t){return t.type===e})},item:function(t){return this._objects[t]},isEmpty:function(){return 0===this._objects.length},size:function(){return this._objects.length},contains:function(t){return-1<this._objects.indexOf(t)},complexity:function(){return this._objects.reduce(function(t,e){return t+=e.complexity?e.complexity():0},0)}},fabric.CommonMethods={_setOptions:function(t){for(var e in t)this.set(e,t[e])},_initGradient:function(t,e){!t||!t.colorStops||t instanceof fabric.Gradient||this.set(e,new fabric.Gradient(t))},_initPattern:function(t,e,i){!t||!t.source||t instanceof fabric.Pattern?i&&i():this.set(e,new fabric.Pattern(t,i))},_setObject:function(t){for(var e in t)this._set(e,t[e])},set:function(t,e){return"object"==typeof t?this._setObject(t):this._set(t,e),this},_set:function(t,e){this[t]=e},toggle:function(t){var e=this.get(t);return"boolean"==typeof e&&this.set(t,!e),this},get:function(t){return this[t]}},function(s){var d=Math.sqrt,g=Math.atan2,o=Math.pow,a=Math.PI/180,i=Math.PI/2;fabric.util={cos:function(t){if(0===t)return 1;switch(t<0&&(t=-t),t/i){case 1:case 3:return 0;case 2:return-1}return Math.cos(t)},sin:function(t){if(0===t)return 0;var e=1;switch(t<0&&(e=-1),t/i){case 1:return e;case 2:return 0;case 3:return-e}return Math.sin(t)},removeFromArray:function(t,e){var i=t.indexOf(e);return-1!==i&&t.splice(i,1),t},getRandomInt:function(t,e){return Math.floor(Math.random()*(e-t+1))+t},degreesToRadians:function(t){return t*a},radiansToDegrees:function(t){return t/a},rotatePoint:function(t,e,i){t.subtractEquals(e);var r=fabric.util.rotateVector(t,i);return new fabric.Point(r.x,r.y).addEquals(e)},rotateVector:function(t,e){var i=fabric.util.sin(e),r=fabric.util.cos(e);return{x:t.x*r-t.y*i,y:t.x*i+t.y*r}},transformPoint:function(t,e,i){return i?new fabric.Point(e[0]*t.x+e[2]*t.y,e[1]*t.x+e[3]*t.y):new fabric.Point(e[0]*t.x+e[2]*t.y+e[4],e[1]*t.x+e[3]*t.y+e[5])},makeBoundingBoxFromPoints:function(t,e){if(e)for(var i=0;i<t.length;i++)t[i]=fabric.util.transformPoint(t[i],e);var r=[t[0].x,t[1].x,t[2].x,t[3].x],n=fabric.util.array.min(r),s=fabric.util.array.max(r)-n,o=[t[0].y,t[1].y,t[2].y,t[3].y],a=fabric.util.array.min(o);return{left:n,top:a,width:s,height:fabric.util.array.max(o)-a}},invertTransform:function(t){var e=1/(t[0]*t[3]-t[1]*t[2]),i=[e*t[3],-e*t[1],-e*t[2],e*t[0]],r=fabric.util.transformPoint({x:t[4],y:t[5]},i,!0);return i[4]=-r.x,i[5]=-r.y,i},toFixed:function(t,e){return parseFloat(Number(t).toFixed(e))},parseUnit:function(t,e){var i=/\D{0,2}$/.exec(t),r=parseFloat(t);switch(e||(e=fabric.Text.DEFAULT_SVG_FONT_SIZE),i[0]){case"mm":return r*fabric.DPI/25.4;case"cm":return r*fabric.DPI/2.54;case"in":return r*fabric.DPI;case"pt":return r*fabric.DPI/72;case"pc":return r*fabric.DPI/72*12;case"em":return r*e;default:return r}},falseFunction:function(){return!1},getKlass:function(t,e){return t=fabric.util.string.camelize(t.charAt(0).toUpperCase()+t.slice(1)),fabric.util.resolveNamespace(e)[t]},getSvgAttributes:function(t){var e=["instantiated_by_use","style","id","class"];switch(t){case"linearGradient":e=e.concat(["x1","y1","x2","y2","gradientUnits","gradientTransform"]);break;case"radialGradient":e=e.concat(["gradientUnits","gradientTransform","cx","cy","r","fx","fy","fr"]);break;case"stop":e=e.concat(["offset","stop-color","stop-opacity"])}return e},resolveNamespace:function(t){if(!t)return fabric;var e,i=t.split("."),r=i.length,n=s||fabric.window;for(e=0;e<r;++e)n=n[i[e]];return n},loadImage:function(t,e,i,r){if(t){var n=fabric.util.createImage(),s=function(){e&&e.call(i,n,!1),n=n.onload=n.onerror=null};n.onload=s,n.onerror=function(){fabric.log("Error loading "+n.src),e&&e.call(i,null,!0),n=n.onload=n.onerror=null},0!==t.indexOf("data")&&null!=r&&(n.crossOrigin=r),"data:image/svg"===t.substring(0,14)&&(n.onload=null,fabric.util.loadImageInDom(n,s)),n.src=t}else e&&e.call(i,t)},loadImageInDom:function(t,e){var i=fabric.document.createElement("div");i.style.width=i.style.height="1px",i.style.left=i.style.top="-100%",i.style.position="absolute",i.appendChild(t),fabric.document.querySelector("body").appendChild(i),t.onload=function(){e(),i.parentNode.removeChild(i),i=null}},enlivenObjects:function(t,e,n,s){var o=[],i=0,r=(t=t||[]).length;function a(){++i===r&&e&&e(o.filter(function(t){return t}))}r?t.forEach(function(i,r){i&&i.type?fabric.util.getKlass(i.type,n).fromObject(i,function(t,e){e||(o[r]=t),s&&s(i,t,e),a()}):a()}):e&&e(o)},enlivenPatterns:function(t,e){function i(){++n===s&&e&&e(r)}var r=[],n=0,s=(t=t||[]).length;s?t.forEach(function(t,e){t&&t.source?new fabric.Pattern(t,function(t){r[e]=t,i()}):(r[e]=t,i())}):e&&e(r)},groupSVGElements:function(t,e,i){var r;return t&&1===t.length?t[0]:(e&&(e.width&&e.height?e.centerPoint={x:e.width/2,y:e.height/2}:(delete e.width,delete e.height)),r=new fabric.Group(t,e),void 0!==i&&(r.sourcePath=i),r)},populateWithProperties:function(t,e,i){if(i&&"[object Array]"===Object.prototype.toString.call(i))for(var r=0,n=i.length;r<n;r++)i[r]in t&&(e[i[r]]=t[i[r]])},drawDashedLine:function(t,e,i,r,n,s){var o=r-e,a=n-i,h=d(o*o+a*a),c=g(a,o),l=s.length,u=0,f=!0;for(t.save(),t.translate(e,i),t.moveTo(0,0),t.rotate(c),e=0;e<h;)h<(e+=s[u++%l])&&(e=h),t[f?"lineTo":"moveTo"](e,0),f=!f;t.restore()},createCanvasElement:function(){return fabric.document.createElement("canvas")},copyCanvasElement:function(t){var e=fabric.util.createCanvasElement();return e.width=t.width,e.height=t.height,e.getContext("2d").drawImage(t,0,0),e},toDataURL:function(t,e,i){return t.toDataURL("image/"+e,i)},createImage:function(){return fabric.document.createElement("img")},multiplyTransformMatrices:function(t,e,i){return[t[0]*e[0]+t[2]*e[1],t[1]*e[0]+t[3]*e[1],t[0]*e[2]+t[2]*e[3],t[1]*e[2]+t[3]*e[3],i?0:t[0]*e[4]+t[2]*e[5]+t[4],i?0:t[1]*e[4]+t[3]*e[5]+t[5]]},qrDecompose:function(t){var e=g(t[1],t[0]),i=o(t[0],2)+o(t[1],2),r=d(i),n=(t[0]*t[3]-t[2]*t[1])/r,s=g(t[0]*t[2]+t[1]*t[3],i);return{angle:e/a,scaleX:r,scaleY:n,skewX:s/a,skewY:0,translateX:t[4],translateY:t[5]}},calcRotateMatrix:function(t){if(!t.angle)return fabric.iMatrix.concat();var e=fabric.util.degreesToRadians(t.angle),i=fabric.util.cos(e),r=fabric.util.sin(e);return[i,r,-r,i,0,0]},calcDimensionsMatrix:function(t){var e=void 0===t.scaleX?1:t.scaleX,i=void 0===t.scaleY?1:t.scaleY,r=[t.flipX?-e:e,0,0,t.flipY?-i:i,0,0],n=fabric.util.multiplyTransformMatrices,s=fabric.util.degreesToRadians;return t.skewX&&(r=n(r,[1,0,Math.tan(s(t.skewX)),1],!0)),t.skewY&&(r=n(r,[1,Math.tan(s(t.skewY)),0,1],!0)),r},composeMatrix:function(t){var e=[1,0,0,1,t.translateX||0,t.translateY||0],i=fabric.util.multiplyTransformMatrices;return t.angle&&(e=i(e,fabric.util.calcRotateMatrix(t))),(1!==t.scaleX||1!==t.scaleY||t.skewX||t.skewY||t.flipX||t.flipY)&&(e=i(e,fabric.util.calcDimensionsMatrix(t))),e},resetObjectTransform:function(t){t.scaleX=1,t.scaleY=1,t.skewX=0,t.skewY=0,t.flipX=!1,t.flipY=!1,t.rotate(0)},saveObjectTransform:function(t){return{scaleX:t.scaleX,scaleY:t.scaleY,skewX:t.skewX,skewY:t.skewY,angle:t.angle,left:t.left,flipX:t.flipX,flipY:t.flipY,top:t.top}},isTransparent:function(t,e,i,r){0<r&&(r<e?e-=r:e=0,r<i?i-=r:i=0);var n,s=!0,o=t.getImageData(e,i,2*r||1,2*r||1),a=o.data.length;for(n=3;n<a&&!1!==(s=o.data[n]<=0);n+=4);return o=null,s},parsePreserveAspectRatioAttribute:function(t){var e,i="meet",r=t.split(" ");return r&&r.length&&("meet"!==(i=r.pop())&&"slice"!==i?(e=i,i="meet"):r.length&&(e=r.pop())),{meetOrSlice:i,alignX:"none"!==e?e.slice(1,4):"none",alignY:"none"!==e?e.slice(5,8):"none"}},clearFabricFontCache:function(t){(t=(t||"").toLowerCase())?fabric.charWidthsCache[t]&&delete fabric.charWidthsCache[t]:fabric.charWidthsCache={}},limitDimsByArea:function(t,e){var i=Math.sqrt(e*t),r=Math.floor(e/i);return{x:Math.floor(i),y:r}},capValue:function(t,e,i){return Math.max(t,Math.min(e,i))},findScaleToFit:function(t,e){return Math.min(e.width/t.width,e.height/t.height)},findScaleToCover:function(t,e){return Math.max(e.width/t.width,e.height/t.height)},matrixToSVG:function(t){return"matrix("+t.map(function(t){return fabric.util.toFixed(t,fabric.Object.NUM_FRACTION_DIGITS)}).join(" ")+")"},sizeAfterTransform:function(t,e,i){var r=t/2,n=e/2,s=[{x:-r,y:-n},{x:r,y:-n},{x:-r,y:n},{x:r,y:n}],o=fabric.util.calcDimensionsMatrix(i),a=fabric.util.makeBoundingBoxFromPoints(s,o);return{x:a.width,y:a.height}}}}("undefined"!=typeof exports?exports:this),function(){var E=Array.prototype.join,T={m:2,l:2,h:1,v:1,c:6,s:4,q:4,t:2,a:7},w={m:"l",M:"L"};function v(t,e,i,r,n,s,o){var a=Math.PI,h=o*a/180,c=fabric.util.sin(h),l=fabric.util.cos(h),u=0,f=0,d=-l*t*.5-c*e*.5,g=-l*e*.5+c*t*.5,p=(i=Math.abs(i))*i,v=(r=Math.abs(r))*r,m=g*g,b=d*d,y=p*v-p*m-v*b,_=0;if(y<0){var x=Math.sqrt(1-y/(p*v));i*=x,r*=x}else _=(n===s?-1:1)*Math.sqrt(y/(p*m+v*b));var C=_*i*g/r,S=-_*r*d/i,T=l*C-c*S+.5*t,w=c*C+l*S+.5*e,O=$(1,0,(d-C)/i,(g-S)/r),k=$((d-C)/i,(g-S)/r,(-d-C)/i,(-g-S)/r);0===s&&0<k?k-=2*a:1===s&&k<0&&(k+=2*a);for(var P,D,E,A,j,M,F,I,L,R,B,X,Y,W,z,H,G,U=Math.ceil(Math.abs(k/a*2)),N=[],V=k/U,q=8/3*Math.sin(V/4)*Math.sin(V/4)/Math.sin(V/2),K=O+V,J=0;J<U;J++)N[J]=(P=O,D=K,E=l,A=c,j=i,M=r,F=T,I=w,L=q,R=u,B=f,void 0,X=fabric.util.cos(P),Y=fabric.util.sin(P),W=fabric.util.cos(D),z=fabric.util.sin(D),["C",R+L*(-E*j*Y-A*M*X),B+L*(-A*j*Y+E*M*X),(H=E*j*W-A*M*z+F)+L*(E*j*z+A*M*W),(G=A*j*W+E*M*z+I)+L*(A*j*z-E*M*W),H,G]),u=N[J][5],f=N[J][6],O=K,K+=V;return N}function $(t,e,i,r){var n=Math.atan2(e,t),s=Math.atan2(r,i);return n<=s?s-n:2*Math.PI-(n-s)}function m(t,e,i,r,n,s,o,a){var h;if(fabric.cachesBoundsOfCurve&&(h=E.call(arguments),fabric.boundsOfCurveCache[h]))return fabric.boundsOfCurveCache[h];var c,l,u,f,d,g,p,v,m=Math.sqrt,b=Math.min,y=Math.max,_=Math.abs,x=[],C=[[],[]];l=6*t-12*i+6*n,c=-3*t+9*i-9*n+3*o,u=3*i-3*t;for(var S=0;S<2;++S)if(0<S&&(l=6*e-12*r+6*s,c=-3*e+9*r-9*s+3*a,u=3*r-3*e),_(c)<1e-12){if(_(l)<1e-12)continue;0<(f=-u/l)&&f<1&&x.push(f)}else(p=l*l-4*u*c)<0||(0<(d=(-l+(v=m(p)))/(2*c))&&d<1&&x.push(d),0<(g=(-l-v)/(2*c))&&g<1&&x.push(g));for(var T,w,O,k=x.length,P=k;k--;)T=(O=1-(f=x[k]))*O*O*t+3*O*O*f*i+3*O*f*f*n+f*f*f*o,C[0][k]=T,w=O*O*O*e+3*O*O*f*r+3*O*f*f*s+f*f*f*a,C[1][k]=w;C[0][P]=t,C[1][P]=e,C[0][P+1]=o,C[1][P+1]=a;var D=[{x:b.apply(null,C[0]),y:b.apply(null,C[1])},{x:y.apply(null,C[0]),y:y.apply(null,C[1])}];return fabric.cachesBoundsOfCurve&&(fabric.boundsOfCurveCache[h]=D),D}function d(t,e,i){for(var r=i[1],n=i[2],s=i[3],o=i[4],a=i[5],h=v(i[6]-t,i[7]-e,r,n,o,a,s),c=0,l=h.length;c<l;c++)h[c][1]+=t,h[c][2]+=e,h[c][3]+=t,h[c][4]+=e,h[c][5]+=t,h[c][6]+=e;return h}function g(t,e,i,r){return Math.sqrt((i-t)*(i-t)+(r-e)*(r-e))}function p(c,l,u,f,d,g,p,v){return function(t){var e,i,r,n,s=(n=t)*n*n,o=3*(r=t)*r*(1-r),a=3*(i=t)*(1-i)*(1-i),h=(1-(e=t))*(1-e)*(1-e);return{x:p*s+d*o+u*a+c*h,y:v*s+g*o+f*a+l*h}}}function b(n,s,o,a,h,c,l,u){return function(t){var e=1-t,i=3*e*e*(o-n)+6*e*t*(h-o)+3*t*t*(l-h),r=3*e*e*(a-s)+6*e*t*(c-a)+3*t*t*(u-c);return Math.atan2(r,i)}}function y(a,h,c,l,u,f){return function(t){var e,i,r,n=(r=t)*r,s=2*(i=t)*(1-i),o=(1-(e=t))*(1-e);return{x:u*n+c*s+a*o,y:f*n+l*s+h*o}}}function _(n,s,o,a,h,c){return function(t){var e=1-t,i=2*e*(o-n)+2*t*(h-o),r=2*e*(a-s)+2*t*(c-a);return Math.atan2(r,i)}}function x(t,e,i){var r,n,s={x:e,y:i},o=0;for(n=.01;n<=1;n+=.01)r=t(n),o+=g(s.x,s.y,r.x,r.y),s=r;return o}function c(t,e){for(var i,r,n,s=0,o=0,a=t.iterator,h={x:t.x,y:t.y},c=.01,l=t.angleFinder;o<e&&s<=1&&1e-4<c;)i=a(s),n=s,e<(r=g(h.x,h.y,i.x,i.y))+o?s-=c/=2:(h=i,s+=c,o+=r);return i.angle=l(n),i}function l(t){for(var e,i,r,n,s=0,o=t.length,a=0,h=0,c=0,l=0,u=[],f=0;f<o;f++){switch(r={x:a,y:h,command:(e=t[f])[0]},e[0]){case"M":r.length=0,c=a=e[1],l=h=e[2];break;case"L":r.length=g(a,h,e[1],e[2]),a=e[1],h=e[2];break;case"C":i=p(a,h,e[1],e[2],e[3],e[4],e[5],e[6]),n=b(a,h,e[1],e[2],e[3],e[4],e[5],e[6]),r.iterator=i,r.angleFinder=n,r.length=x(i,a,h),a=e[5],h=e[6];break;case"Q":i=y(a,h,e[1],e[2],e[3],e[4]),n=_(a,h,e[1],e[2],e[3],e[4]),r.iterator=i,r.angleFinder=n,r.length=x(i,a,h),a=e[3],h=e[4];break;case"Z":case"z":r.destX=c,r.destY=l,r.length=g(a,h,c,l),a=c,h=l}s+=r.length,u.push(r)}return u.push({length:s,x:a,y:h}),u}fabric.util.parsePath=function(t){var e,i,r,n,s,o=[],a=[],h=fabric.rePathCommand,c="[-+]?(?:\\d*\\.\\d+|\\d+\\.?)(?:[eE][-+]?\\d+)?\\s*",l="("+c+")"+fabric.commaWsp,u="([01])"+fabric.commaWsp+"?",f=new RegExp(l+"?"+l+"?"+l+u+u+l+"?("+c+")","g");if(!t||!t.match)return o;for(var d,g=0,p=(s=t.match(/[mzlhvcsqta][^mzlhvcsqta]*/gi)).length;g<p;g++){n=(e=s[g]).slice(1).trim(),a.length=0;var v=e.charAt(0);if(d=[v],"a"===v.toLowerCase())for(var m;m=f.exec(n);)for(var b=1;b<m.length;b++)a.push(m[b]);else for(;r=h.exec(n);)a.push(r[0]);b=0;for(var y=a.length;b<y;b++)i=parseFloat(a[b]),isNaN(i)||d.push(i);var _=T[v.toLowerCase()],x=w[v]||v;if(d.length-1>_)for(var C=1,S=d.length;C<S;C+=_)o.push([v].concat(d.slice(C,C+_))),v=x;else o.push(d)}return o},fabric.util.makePathSimpler=function(t){var e,i,r,n,s,o,a=0,h=0,c=t.length,l=0,u=0,f=[];for(i=0;i<c;++i){switch(r=!1,(e=t[i].slice(0))[0]){case"l":e[0]="L",e[1]+=a,e[2]+=h;case"L":a=e[1],h=e[2];break;case"h":e[1]+=a;case"H":e[0]="L",e[2]=h,a=e[1];break;case"v":e[1]+=h;case"V":e[0]="L",h=e[1],e[1]=a,e[2]=h;break;case"m":e[0]="M",e[1]+=a,e[2]+=h;case"M":a=e[1],h=e[2],l=e[1],u=e[2];break;case"c":e[0]="C",e[1]+=a,e[2]+=h,e[3]+=a,e[4]+=h,e[5]+=a,e[6]+=h;case"C":s=e[3],o=e[4],a=e[5],h=e[6];break;case"s":e[0]="S",e[1]+=a,e[2]+=h,e[3]+=a,e[4]+=h;case"S":"C"===n?(s=2*a-s,o=2*h-o):(s=a,o=h),a=e[3],h=e[4],e[0]="C",e[5]=e[3],e[6]=e[4],e[3]=e[1],e[4]=e[2],e[1]=s,e[2]=o,s=e[3],o=e[4];break;case"q":e[0]="Q",e[1]+=a,e[2]+=h,e[3]+=a,e[4]+=h;case"Q":s=e[1],o=e[2],a=e[3],h=e[4];break;case"t":e[0]="T",e[1]+=a,e[2]+=h;case"T":"Q"===n?(s=2*a-s,o=2*h-o):(s=a,o=h),e[0]="Q",a=e[1],h=e[2],e[1]=s,e[2]=o,e[3]=a,e[4]=h;break;case"a":e[0]="A",e[6]+=a,e[7]+=h;case"A":r=!0,f=f.concat(d(a,h,e)),a=e[6],h=e[7];break;case"z":case"Z":a=l,h=u}r||f.push(e),n=e[0]}return f},fabric.util.getPathSegmentsInfo=l,fabric.util.fromArcToBeziers=d,fabric.util.fromArcToBeizers=d,fabric.util.getBoundsOfCurve=m,fabric.util.getPointOnPath=function(t,e,i){i||(i=l(t));for(var r=0;0<e-i[r].length&&r<i.length-2;)e-=i[r].length,r++;var n,s=i[r],o=e/s.length,a=s.command,h=t[r];switch(a){case"M":return{x:s.x,y:s.y,angle:0};case"Z":case"z":return(n=new fabric.Point(s.x,s.y).lerp(new fabric.Point(s.destX,s.destY),o)).angle=Math.atan2(s.destY-s.y,s.destX-s.x),n;case"L":return(n=new fabric.Point(s.x,s.y).lerp(new fabric.Point(h[1],h[2]),o)).angle=Math.atan2(h[2]-s.y,h[1]-s.x),n;case"C":case"Q":return c(s,e)}},fabric.util.getBoundsOfArc=function(t,e,i,r,n,s,o,a,h){for(var c,l=0,u=0,f=[],d=v(a-t,h-e,i,r,s,o,n),g=0,p=d.length;g<p;g++)c=m(l,u,d[g][1],d[g][2],d[g][3],d[g][4],d[g][5],d[g][6]),f.push({x:c[0].x+t,y:c[0].y+e}),f.push({x:c[1].x+t,y:c[1].y+e}),l=d[g][5],u=d[g][6];return f},fabric.util.drawArc=function(e,t,i,r){d(t,i,r=r.slice(0).unshift("X")).forEach(function(t){e.bezierCurveTo.apply(e,t.slice(1))})}}(),function(){var o=Array.prototype.slice;function i(t,e,i){if(t&&0!==t.length){var r=t.length-1,n=e?t[r][e]:t[r];if(e)for(;r--;)i(t[r][e],n)&&(n=t[r][e]);else for(;r--;)i(t[r],n)&&(n=t[r]);return n}}fabric.util.array={fill:function(t,e){for(var i=t.length;i--;)t[i]=e;return t},invoke:function(t,e){for(var i=o.call(arguments,2),r=[],n=0,s=t.length;n<s;n++)r[n]=i.length?t[n][e].apply(t[n],i):t[n][e].call(t[n]);return r},min:function(t,e){return i(t,e,function(t,e){return t<e})},max:function(t,e){return i(t,e,function(t,e){return e<=t})}}}(),function(){function o(t,e,i){if(i)if(!fabric.isLikelyNode&&e instanceof Element)t=e;else if(e instanceof Array){t=[];for(var r=0,n=e.length;r<n;r++)t[r]=o({},e[r],i)}else if(e&&"object"==typeof e)for(var s in e)"canvas"===s||"group"===s?t[s]=null:e.hasOwnProperty(s)&&(t[s]=o({},e[s],i));else t=e;else for(var s in e)t[s]=e[s];return t}fabric.util.object={extend:o,clone:function(t,e){return o({},t,e)}},fabric.util.object.extend(fabric.util,fabric.Observable)}(),function(){function n(t,e){var i=t.charCodeAt(e);if(isNaN(i))return"";if(i<55296||57343<i)return t.charAt(e);if(55296<=i&&i<=56319){if(t.length<=e+1)throw"High surrogate without following low surrogate";var r=t.charCodeAt(e+1);if(r<56320||57343<r)throw"High surrogate without following low surrogate";return t.charAt(e)+t.charAt(e+1)}if(0===e)throw"Low surrogate without preceding high surrogate";var n=t.charCodeAt(e-1);if(n<55296||56319<n)throw"Low surrogate without preceding high surrogate";return!1}fabric.util.string={camelize:function(t){return t.replace(/-+(.)?/g,function(t,e){return e?e.toUpperCase():""})},capitalize:function(t,e){return t.charAt(0).toUpperCase()+(e?t.slice(1):t.slice(1).toLowerCase())},escapeXml:function(t){return t.replace(/&/g,"&amp;").replace(/"/g,"&quot;").replace(/'/g,"&apos;").replace(/</g,"&lt;").replace(/>/g,"&gt;")},graphemeSplit:function(t){var e,i=0,r=[];for(i=0;i<t.length;i++)!1!==(e=n(t,i))&&r.push(e);return r}}}(),function(){var s=Array.prototype.slice,o=function(){},i=function(){for(var t in{toString:1})if("toString"===t)return!1;return!0}(),a=function(t,r,n){for(var e in r)e in t.prototype&&"function"==typeof t.prototype[e]&&-1<(r[e]+"").indexOf("callSuper")?t.prototype[e]=function(i){return function(){var t=this.constructor.superclass;this.constructor.superclass=n;var e=r[i].apply(this,arguments);if(this.constructor.superclass=t,"initialize"!==i)return e}}(e):t.prototype[e]=r[e],i&&(r.toString!==Object.prototype.toString&&(t.prototype.toString=r.toString),r.valueOf!==Object.prototype.valueOf&&(t.prototype.valueOf=r.valueOf))};function h(){}function c(t){for(var e=null,i=this;i.constructor.superclass;){var r=i.constructor.superclass.prototype[t];if(i[t]!==r){e=r;break}i=i.constructor.superclass.prototype}return e?1<arguments.length?e.apply(this,s.call(arguments,1)):e.call(this):console.log("tried to callSuper "+t+", method not found in prototype chain",this)}fabric.util.createClass=function(){var t=null,e=s.call(arguments,0);function i(){this.initialize.apply(this,arguments)}"function"==typeof e[0]&&(t=e.shift()),i.superclass=t,i.subclasses=[],t&&(h.prototype=t.prototype,i.prototype=new h,t.subclasses.push(i));for(var r=0,n=e.length;r<n;r++)a(i,e[r],t);return i.prototype.initialize||(i.prototype.initialize=o),(i.prototype.constructor=i).prototype.callSuper=c,i}}(),function(){var n=!!fabric.document.createElement("div").attachEvent,e=["touchstart","touchmove","touchend"];fabric.util.addListener=function(t,e,i,r){t&&t.addEventListener(e,i,!n&&r)},fabric.util.removeListener=function(t,e,i,r){t&&t.removeEventListener(e,i,!n&&r)},fabric.util.getPointer=function(t){var e,i,r=t.target,n=fabric.util.getScrollLeftTop(r),s=(i=(e=t).changedTouches)&&i[0]?i[0]:e;return{x:s.clientX+n.left,y:s.clientY+n.top}},fabric.util.isTouchEvent=function(t){return-1<e.indexOf(t.type)||"touch"===t.pointerType}}(),function(){var t=fabric.document.createElement("div"),e="string"==typeof t.style.opacity,i="string"==typeof t.style.filter,r=/alpha\s*\(\s*opacity\s*=\s*([^\)]+)\)/,n=function(t){return t};e?n=function(t,e){return t.style.opacity=e,t}:i&&(n=function(t,e){var i=t.style;return t.currentStyle&&!t.currentStyle.hasLayout&&(i.zoom=1),r.test(i.filter)?(e=.9999<=e?"":"alpha(opacity="+100*e+")",i.filter=i.filter.replace(r,e)):i.filter+=" alpha(opacity="+100*e+")",t}),fabric.util.setStyle=function(t,e){var i=t.style;if(!i)return t;if("string"==typeof e)return t.style.cssText+=";"+e,-1<e.indexOf("opacity")?n(t,e.match(/opacity:\s*(\d?\.?\d*)/)[1]):t;for(var r in e)"opacity"===r?n(t,e[r]):i["float"===r||"cssFloat"===r?void 0===i.styleFloat?"cssFloat":"styleFloat":r]=e[r];return t}}(),function(){var e=Array.prototype.slice;var t,h,i,r,n=function(t){return e.call(t,0)};try{t=n(fabric.document.childNodes)instanceof Array}catch(t){}function s(t,e){var i=fabric.document.createElement(t);for(var r in e)"class"===r?i.className=e[r]:"for"===r?i.htmlFor=e[r]:i.setAttribute(r,e[r]);return i}function c(t){for(var e=0,i=0,r=fabric.document.documentElement,n=fabric.document.body||{scrollLeft:0,scrollTop:0};t&&(t.parentNode||t.host)&&((t=t.parentNode||t.host)===fabric.document?(e=n.scrollLeft||r.scrollLeft||0,i=n.scrollTop||r.scrollTop||0):(e+=t.scrollLeft||0,i+=t.scrollTop||0),1!==t.nodeType||"fixed"!==t.style.position););return{left:e,top:i}}t||(n=function(t){for(var e=new Array(t.length),i=t.length;i--;)e[i]=t[i];return e}),h=fabric.document.defaultView&&fabric.document.defaultView.getComputedStyle?function(t,e){var i=fabric.document.defaultView.getComputedStyle(t,null);return i?i[e]:void 0}:function(t,e){var i=t.style[e];return!i&&t.currentStyle&&(i=t.currentStyle[e]),i},i=fabric.document.documentElement.style,r="userSelect"in i?"userSelect":"MozUserSelect"in i?"MozUserSelect":"WebkitUserSelect"in i?"WebkitUserSelect":"KhtmlUserSelect"in i?"KhtmlUserSelect":"",fabric.util.makeElementUnselectable=function(t){return void 0!==t.onselectstart&&(t.onselectstart=fabric.util.falseFunction),r?t.style[r]="none":"string"==typeof t.unselectable&&(t.unselectable="on"),t},fabric.util.makeElementSelectable=function(t){return void 0!==t.onselectstart&&(t.onselectstart=null),r?t.style[r]="":"string"==typeof t.unselectable&&(t.unselectable=""),t},fabric.util.setImageSmoothing=function(t,e){t.imageSmoothingEnabled=t.imageSmoothingEnabled||t.webkitImageSmoothingEnabled||t.mozImageSmoothingEnabled||t.msImageSmoothingEnabled||t.oImageSmoothingEnabled,t.imageSmoothingEnabled=e},fabric.util.getById=function(t){return"string"==typeof t?fabric.document.getElementById(t):t},fabric.util.toArray=n,fabric.util.addClass=function(t,e){t&&-1===(" "+t.className+" ").indexOf(" "+e+" ")&&(t.className+=(t.className?" ":"")+e)},fabric.util.makeElement=s,fabric.util.wrapElement=function(t,e,i){return"string"==typeof e&&(e=s(e,i)),t.parentNode&&t.parentNode.replaceChild(e,t),e.appendChild(t),e},fabric.util.getScrollLeftTop=c,fabric.util.getElementOffset=function(t){var e,i,r=t&&t.ownerDocument,n={left:0,top:0},s={left:0,top:0},o={borderLeftWidth:"left",borderTopWidth:"top",paddingLeft:"left",paddingTop:"top"};if(!r)return s;for(var a in o)s[o[a]]+=parseInt(h(t,a),10)||0;return e=r.documentElement,void 0!==t.getBoundingClientRect&&(n=t.getBoundingClientRect()),i=c(t),{left:n.left+i.left-(e.clientLeft||0)+s.left,top:n.top+i.top-(e.clientTop||0)+s.top}},fabric.util.getNodeCanvas=function(t){var e=fabric.jsdomImplForWrapper(t);return e._canvas||e._image},fabric.util.cleanUpJsdomNode=function(t){if(fabric.isLikelyNode){var e=fabric.jsdomImplForWrapper(t);e&&(e._image=null,e._canvas=null,e._currentSrc=null,e._attributes=null,e._classList=null)}}}(),function(){function h(){}fabric.util.request=function(t,e){e||(e={});var i,r,n=e.method?e.method.toUpperCase():"GET",s=e.onComplete||function(){},o=new fabric.window.XMLHttpRequest,a=e.body||e.parameters;return o.onreadystatechange=function(){4===o.readyState&&(s(o),o.onreadystatechange=h)},"GET"===n&&(a=null,"string"==typeof e.parameters&&(i=t,r=e.parameters,t=i+(/\?/.test(i)?"&":"?")+r)),o.open(n,t,!0),"POST"!==n&&"PUT"!==n||o.setRequestHeader("Content-Type","application/x-www-form-urlencoded"),o.send(a),o}}(),fabric.log=console.log,fabric.warn=console.warn,function(){function i(){return!1}function r(t,e,i,r){return-i*Math.cos(t/r*(Math.PI/2))+i+e}var t=fabric.window.requestAnimationFrame||fabric.window.webkitRequestAnimationFrame||fabric.window.mozRequestAnimationFrame||fabric.window.oRequestAnimationFrame||fabric.window.msRequestAnimationFrame||function(t){return fabric.window.setTimeout(t,1e3/60)},e=fabric.window.cancelAnimationFrame||fabric.window.clearTimeout;function m(){return t.apply(fabric.window,arguments)}fabric.util.animate=function(e){m(function(t){e||(e={});var o,a=t||+new Date,h=e.duration||500,c=a+h,l=e.onChange||i,u=e.abort||i,f=e.onComplete||i,d=e.easing||r,g="startValue"in e?e.startValue:0,p="endValue"in e?e.endValue:100,v=e.byValue||p-g;e.onStart&&e.onStart(),function t(e){o=e||+new Date;var i=c<o?h:o-a,r=i/h,n=d(i,g,v,h),s=Math.abs((n-g)/v);if(!u())return c<o?(l(p,1,1),void f(p,1,1)):(l(n,s,r),void m(t));f(p,1,1)}(a)})},fabric.util.requestAnimFrame=m,fabric.util.cancelAnimFrame=function(){return e.apply(fabric.window,arguments)}}(),function(){function h(t,e,i){var r="rgba("+parseInt(t[0]+i*(e[0]-t[0]),10)+","+parseInt(t[1]+i*(e[1]-t[1]),10)+","+parseInt(t[2]+i*(e[2]-t[2]),10);return r+=","+(t&&e?parseFloat(t[3]+i*(e[3]-t[3])):1),r+=")"}fabric.util.animateColor=function(t,e,i,n){var r=new fabric.Color(t).getSource(),s=new fabric.Color(e).getSource(),o=n.onComplete,a=n.onChange;n=n||{},fabric.util.animate(fabric.util.object.extend(n,{duration:i||500,startValue:r,endValue:s,byValue:s,easing:function(t,e,i,r){return h(e,i,n.colorEasing?n.colorEasing(t,r):1-Math.cos(t/r*(Math.PI/2)))},onComplete:function(t,e,i){if(o)return o(h(s,s,0),e,i)},onChange:function(t,e,i){if(a){if(Array.isArray(t))return a(h(t,t,0),e,i);a(t,e,i)}}}))}}(),function(){function o(t,e,i,r){return t<Math.abs(e)?(t=e,r=i/4):r=0===e&&0===t?i/(2*Math.PI)*Math.asin(1):i/(2*Math.PI)*Math.asin(e/t),{a:t,c:e,p:i,s:r}}function a(t,e,i){return t.a*Math.pow(2,10*(e-=1))*Math.sin((e*i-t.s)*(2*Math.PI)/t.p)}function n(t,e,i,r){return i-s(r-t,0,i,r)+e}function s(t,e,i,r){return(t/=r)<1/2.75?i*(7.5625*t*t)+e:t<2/2.75?i*(7.5625*(t-=1.5/2.75)*t+.75)+e:t<2.5/2.75?i*(7.5625*(t-=2.25/2.75)*t+.9375)+e:i*(7.5625*(t-=2.625/2.75)*t+.984375)+e}fabric.util.ease={easeInQuad:function(t,e,i,r){return i*(t/=r)*t+e},easeOutQuad:function(t,e,i,r){return-i*(t/=r)*(t-2)+e},easeInOutQuad:function(t,e,i,r){return(t/=r/2)<1?i/2*t*t+e:-i/2*(--t*(t-2)-1)+e},easeInCubic:function(t,e,i,r){return i*(t/=r)*t*t+e},easeOutCubic:function(t,e,i,r){return i*((t=t/r-1)*t*t+1)+e},easeInOutCubic:function(t,e,i,r){return(t/=r/2)<1?i/2*t*t*t+e:i/2*((t-=2)*t*t+2)+e},easeInQuart:function(t,e,i,r){return i*(t/=r)*t*t*t+e},easeOutQuart:function(t,e,i,r){return-i*((t=t/r-1)*t*t*t-1)+e},easeInOutQuart:function(t,e,i,r){return(t/=r/2)<1?i/2*t*t*t*t+e:-i/2*((t-=2)*t*t*t-2)+e},easeInQuint:function(t,e,i,r){return i*(t/=r)*t*t*t*t+e},easeOutQuint:function(t,e,i,r){return i*((t=t/r-1)*t*t*t*t+1)+e},easeInOutQuint:function(t,e,i,r){return(t/=r/2)<1?i/2*t*t*t*t*t+e:i/2*((t-=2)*t*t*t*t+2)+e},easeInSine:function(t,e,i,r){return-i*Math.cos(t/r*(Math.PI/2))+i+e},easeOutSine:function(t,e,i,r){return i*Math.sin(t/r*(Math.PI/2))+e},easeInOutSine:function(t,e,i,r){return-i/2*(Math.cos(Math.PI*t/r)-1)+e},easeInExpo:function(t,e,i,r){return 0===t?e:i*Math.pow(2,10*(t/r-1))+e},easeOutExpo:function(t,e,i,r){return t===r?e+i:i*(1-Math.pow(2,-10*t/r))+e},easeInOutExpo:function(t,e,i,r){return 0===t?e:t===r?e+i:(t/=r/2)<1?i/2*Math.pow(2,10*(t-1))+e:i/2*(2-Math.pow(2,-10*--t))+e},easeInCirc:function(t,e,i,r){return-i*(Math.sqrt(1-(t/=r)*t)-1)+e},easeOutCirc:function(t,e,i,r){return i*Math.sqrt(1-(t=t/r-1)*t)+e},easeInOutCirc:function(t,e,i,r){return(t/=r/2)<1?-i/2*(Math.sqrt(1-t*t)-1)+e:i/2*(Math.sqrt(1-(t-=2)*t)+1)+e},easeInElastic:function(t,e,i,r){var n=0;return 0===t?e:1==(t/=r)?e+i:(n||(n=.3*r),-a(o(i,i,n,1.70158),t,r)+e)},easeOutElastic:function(t,e,i,r){var n=0;if(0===t)return e;if(1==(t/=r))return e+i;n||(n=.3*r);var s=o(i,i,n,1.70158);return s.a*Math.pow(2,-10*t)*Math.sin((t*r-s.s)*(2*Math.PI)/s.p)+s.c+e},easeInOutElastic:function(t,e,i,r){var n=0;if(0===t)return e;if(2==(t/=r/2))return e+i;n||(n=r*(.3*1.5));var s=o(i,i,n,1.70158);return t<1?-.5*a(s,t,r)+e:s.a*Math.pow(2,-10*(t-=1))*Math.sin((t*r-s.s)*(2*Math.PI)/s.p)*.5+s.c+e},easeInBack:function(t,e,i,r,n){return void 0===n&&(n=1.70158),i*(t/=r)*t*((n+1)*t-n)+e},easeOutBack:function(t,e,i,r,n){return void 0===n&&(n=1.70158),i*((t=t/r-1)*t*((n+1)*t+n)+1)+e},easeInOutBack:function(t,e,i,r,n){return void 0===n&&(n=1.70158),(t/=r/2)<1?i/2*(t*t*((1+(n*=1.525))*t-n))+e:i/2*((t-=2)*t*((1+(n*=1.525))*t+n)+2)+e},easeInBounce:n,easeOutBounce:s,easeInOutBounce:function(t,e,i,r){return t<r/2?.5*n(2*t,0,i,r)+e:.5*s(2*t-r,0,i,r)+.5*i+e}}}(),function(t){"use strict";var C=t.fabric||(t.fabric={}),p=C.util.object.extend,f=C.util.object.clone,v=C.util.toFixed,S=C.util.parseUnit,h=C.util.multiplyTransformMatrices,m={cx:"left",x:"left",r:"radius",cy:"top",y:"top",display:"visible",visibility:"visible",transform:"transformMatrix","fill-opacity":"fillOpacity","fill-rule":"fillRule","font-family":"fontFamily","font-size":"fontSize","font-style":"fontStyle","font-weight":"fontWeight","letter-spacing":"charSpacing","paint-order":"paintFirst","stroke-dasharray":"strokeDashArray","stroke-dashoffset":"strokeDashOffset","stroke-linecap":"strokeLineCap","stroke-linejoin":"strokeLineJoin","stroke-miterlimit":"strokeMiterLimit","stroke-opacity":"strokeOpacity","stroke-width":"strokeWidth","text-decoration":"textDecoration","text-anchor":"textAnchor",opacity:"opacity","clip-path":"clipPath","clip-rule":"clipRule","vector-effect":"strokeUniform","image-rendering":"imageSmoothing"},b={stroke:"strokeOpacity",fill:"fillOpacity"},y="font-size",_="clip-path";function 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RegExp("^\\s*(?:"+("(?:"+_+"(?:"+e+"*"+_+")*)")+"?)\\s*$"),r=new RegExp(_,"g");return function(t){var v=y.concat(),m=[];if(!t||t&&!i.test(t))return v;t.replace(r,function(t){var e,i,r,n,s,o,a,h,c,l,u,f,d=new RegExp(_).exec(t).filter(function(t){return!!t}),g=d[1],p=d.slice(2).map(parseFloat);switch(g){case"translate":f=p,(u=v)[4]=f[0],2===f.length&&(u[5]=f[1]);break;case"rotate":p[0]=C.util.degreesToRadians(p[0]),s=v,o=p,a=C.util.cos(o[0]),h=C.util.sin(o[0]),l=c=0,3===o.length&&(c=o[1],l=o[2]),s[0]=a,s[1]=h,s[2]=-h,s[3]=a,s[4]=c-(a*c-h*l),s[5]=l-(h*c+a*l);break;case"scale":e=v,r=(i=p)[0],n=2===i.length?i[1]:i[0],e[0]=r,e[3]=n;break;case"skewX":b(v,p,2);break;case"skewY":b(v,p,1);break;case"matrix":v=p}m.push(v.concat()),v=y.concat()});for(var e=m[0];1<m.length;)m.shift(),e=C.util.multiplyTransformMatrices(e,m[0]);return e}}();var k=new RegExp("^\\s*("+C.reNum+"+)\\s*,?\\s*("+C.reNum+"+)\\s*,?\\s*("+C.reNum+"+)\\s*,?\\s*("+C.reNum+"+)\\s*$");function P(t){if(C.svgViewBoxElementsRegEx.test(t.nodeName)){var e,i,r,n,s,o,a=t.getAttribute("viewBox"),h=1,c=1,l=t.getAttribute("width"),u=t.getAttribute("height"),f=t.getAttribute("x")||0,d=t.getAttribute("y")||0,g=t.getAttribute("preserveAspectRatio")||"",p=!a||!(a=a.match(k)),v=!l||!u||"100%"===l||"100%"===u,m=p&&v,b={},y="",_=0,x=0;if(b.width=0,b.height=0,b.toBeParsed=m,p&&(f||d)&&"#document"!==t.parentNode.nodeName&&(y=" translate("+S(f)+" "+S(d)+") ",s=(t.getAttribute("transform")||"")+y,t.setAttribute("transform",s),t.removeAttribute("x"),t.removeAttribute("y")),m)return b;if(p)return 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i="xlink:href",r=O(t,e.getAttribute(i).substr(1));if(r&&r.getAttribute(i)&&s(t,r),["gradientTransform","x1","x2","y1","y2","gradientUnits","cx","cy","r","fx","fy"].forEach(function(t){r&&!e.hasAttribute(t)&&r.hasAttribute(t)&&e.setAttribute(t,r.getAttribute(t))}),!e.children.length)for(var n=r.cloneNode(!0);n.firstChild;)e.appendChild(n.firstChild);e.removeAttribute(i)}C.parseSVGDocument=function(t,i,e,r){if(t){!function(t){for(var e=T(t,["use","svg:use"]),i=0;e.length&&i<e.length;){var r,n,s,o,a=e[i],h=(a.getAttribute("xlink:href")||a.getAttribute("href")).substr(1),c=a.getAttribute("x")||0,l=a.getAttribute("y")||0,u=O(t,h).cloneNode(!0),f=(u.getAttribute("transform")||"")+" translate("+c+", "+l+")",d=e.length,g=C.svgNS;if(P(u),/^svg$/i.test(u.nodeName)){var 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e=t.responseXML;if(!e||!e.documentElement)return n&&n(null),!1;C.parseSVGDocument(e.documentElement,function(t,e,i,r){n&&n(t,e,i,r)},i,r)}})},loadSVGFromString:function(t,n,e,i){var r=(new C.window.DOMParser).parseFromString(t.trim(),"text/xml");C.parseSVGDocument(r.documentElement,function(t,e,i,r){n(t,e,i,r)},e,i)}})}("undefined"!=typeof exports?exports:this),fabric.ElementsParser=function(t,e,i,r,n,s){this.elements=t,this.callback=e,this.options=i,this.reviver=r,this.svgUid=i&&i.svgUid||0,this.parsingOptions=n,this.regexUrl=/^url\(['"]?#([^'"]+)['"]?\)/g,this.doc=s},function(t){t.parse=function(){this.instances=new Array(this.elements.length),this.numElements=this.elements.length,this.createObjects()},t.createObjects=function(){var i=this;this.elements.forEach(function(t,e){t.setAttribute("svgUid",i.svgUid),i.createObject(t,e)})},t.findTag=function(t){return fabric[fabric.util.string.capitalize(t.tagName.replace("svg:",""))]},t.createObject=function(t,e){var i=this.findTag(t);if(i&&i.fromElement)try{i.fromElement(t,this.createCallback(e,t),this.options)}catch(t){fabric.log(t)}else this.checkIfDone()},t.createCallback=function(i,r){var n=this;return function(t){var e;n.resolveGradient(t,r,"fill"),n.resolveGradient(t,r,"stroke"),t instanceof fabric.Image&&t._originalElement&&(e=t.parsePreserveAspectRatioAttribute(r)),t._removeTransformMatrix(e),n.resolveClipPath(t,r),n.reviver&&n.reviver(r,t),n.instances[i]=t,n.checkIfDone()}},t.extractPropertyDefinition=function(t,e,i){var r=t[e],n=this.regexUrl;if(n.test(r)){n.lastIndex=0;var s=n.exec(r)[1];return n.lastIndex=0,fabric[i][this.svgUid][s]}},t.resolveGradient=function(t,e,i){var r=this.extractPropertyDefinition(t,i,"gradientDefs");if(r){var n=e.getAttribute(i+"-opacity"),s=fabric.Gradient.fromElement(r,t,n,this.options);t.set(i,s)}},t.createClipPathCallback=function(t,e){return function(t){t._removeTransformMatrix(),t.fillRule=t.clipRule,e.push(t)}},t.resolveClipPath=function(t,e){var i,r,n,s,o=this.extractPropertyDefinition(t,"clipPath","clipPaths");if(o){n=[],r=fabric.util.invertTransform(t.calcTransformMatrix());for(var a=o[0].parentNode,h=e;h.parentNode&&h.getAttribute("clip-path")!==t.clipPath;)h=h.parentNode;h.parentNode.appendChild(a);for(var c=0;c<o.length;c++)i=o[c],this.findTag(i).fromElement(i,this.createClipPathCallback(t,n),this.options);o=1===n.length?n[0]:new fabric.Group(n),s=fabric.util.multiplyTransformMatrices(r,o.calcTransformMatrix()),o.clipPath&&this.resolveClipPath(o,h);var l=fabric.util.qrDecompose(s);o.flipX=!1,o.flipY=!1,o.set("scaleX",l.scaleX),o.set("scaleY",l.scaleY),o.angle=l.angle,o.skewX=l.skewX,o.skewY=0,o.setPositionByOrigin({x:l.translateX,y:l.translateY},"center","center"),t.clipPath=o}else delete t.clipPath},t.checkIfDone=function(){0==--this.numElements&&(this.instances=this.instances.filter(function(t){return null!=t}),this.callback(this.instances,this.elements))}}(fabric.ElementsParser.prototype),function(t){"use strict";var e=t.fabric||(t.fabric={});function i(t,e){this.x=t,this.y=e}e.Point?e.warn("fabric.Point is already defined"):(e.Point=i).prototype={type:"point",constructor:i,add:function(t){return new i(this.x+t.x,this.y+t.y)},addEquals:function(t){return this.x+=t.x,this.y+=t.y,this},scalarAdd:function(t){return new i(this.x+t,this.y+t)},scalarAddEquals:function(t){return this.x+=t,this.y+=t,this},subtract:function(t){return new i(this.x-t.x,this.y-t.y)},subtractEquals:function(t){return this.x-=t.x,this.y-=t.y,this},scalarSubtract:function(t){return new i(this.x-t,this.y-t)},scalarSubtractEquals:function(t){return this.x-=t,this.y-=t,this},multiply:function(t){return new i(this.x*t,this.y*t)},multiplyEquals:function(t){return this.x*=t,this.y*=t,this},divide:function(t){return new i(this.x/t,this.y/t)},divideEquals:function(t){return this.x/=t,this.y/=t,this},eq:function(t){return this.x===t.x&&this.y===t.y},lt:function(t){return this.x<t.x&&this.y<t.y},lte:function(t){return 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d(t){this.status=t,this.points=[]}f.Intersection?f.warn("fabric.Intersection is already defined"):(f.Intersection=d,f.Intersection.prototype={constructor:d,appendPoint:function(t){return this.points.push(t),this},appendPoints:function(t){return this.points=this.points.concat(t),this}},f.Intersection.intersectLineLine=function(t,e,i,r){var n,s=(r.x-i.x)*(t.y-i.y)-(r.y-i.y)*(t.x-i.x),o=(e.x-t.x)*(t.y-i.y)-(e.y-t.y)*(t.x-i.x),a=(r.y-i.y)*(e.x-t.x)-(r.x-i.x)*(e.y-t.y);if(0!==a){var h=s/a,c=o/a;0<=h&&h<=1&&0<=c&&c<=1?(n=new d("Intersection")).appendPoint(new f.Point(t.x+h*(e.x-t.x),t.y+h*(e.y-t.y))):n=new d}else n=new d(0===s||0===o?"Coincident":"Parallel");return n},f.Intersection.intersectLinePolygon=function(t,e,i){var r,n,s,o,a=new d,h=i.length;for(o=0;o<h;o++)r=i[o],n=i[(o+1)%h],s=d.intersectLineLine(t,e,r,n),a.appendPoints(s.points);return 0<a.points.length&&(a.status="Intersection"),a},f.Intersection.intersectPolygonPolygon=function(t,e){var i,r=new d,n=t.length;for(i=0;i<n;i++){var s=t[i],o=t[(i+1)%n],a=d.intersectLinePolygon(s,o,e);r.appendPoints(a.points)}return 0<r.points.length&&(r.status="Intersection"),r},f.Intersection.intersectPolygonRectangle=function(t,e,i){var r=e.min(i),n=e.max(i),s=new f.Point(n.x,r.y),o=new f.Point(r.x,n.y),a=d.intersectLinePolygon(r,s,t),h=d.intersectLinePolygon(s,n,t),c=d.intersectLinePolygon(n,o,t),l=d.intersectLinePolygon(o,r,t),u=new d;return u.appendPoints(a.points),u.appendPoints(h.points),u.appendPoints(c.points),u.appendPoints(l.points),0<u.points.length&&(u.status="Intersection"),u})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var c=t.fabric||(t.fabric={});function l(t){t?this._tryParsingColor(t):this.setSource([0,0,0,1])}function u(t,e,i){return i<0&&(i+=1),1<i&&(i-=1),i<1/6?t+6*(e-t)*i:i<.5?e:i<2/3?t+(e-t)*(2/3-i)*6:t}c.Color?c.warn("fabric.Color is already defined."):(c.Color=l,c.Color.prototype={_tryParsingColor:function(t){var e;t in l.colorNameMap&&(t=l.colorNameMap[t]),"transparent"===t&&(e=[255,255,255,0]),e||(e=l.sourceFromHex(t)),e||(e=l.sourceFromRgb(t)),e||(e=l.sourceFromHsl(t)),e||(e=[0,0,0,1]),e&&this.setSource(e)},_rgbToHsl:function(t,e,i){t/=255,e/=255,i/=255;var r,n,s,o=c.util.array.max([t,e,i]),a=c.util.array.min([t,e,i]);if(s=(o+a)/2,o===a)r=n=0;else{var h=o-a;switch(n=.5<s?h/(2-o-a):h/(o+a),o){case t:r=(e-i)/h+(e<i?6:0);break;case e:r=(i-t)/h+2;break;case i:r=(t-e)/h+4}r/=6}return[Math.round(360*r),Math.round(100*n),Math.round(100*s)]},getSource:function(){return this._source},setSource:function(t){this._source=t},toRgb:function(){var t=this.getSource();return"rgb("+t[0]+","+t[1]+","+t[2]+")"},toRgba:function(){var t=this.getSource();return"rgba("+t[0]+","+t[1]+","+t[2]+","+t[3]+")"},toHsl:function(){var t=this.getSource(),e=this._rgbToHsl(t[0],t[1],t[2]);return"hsl("+e[0]+","+e[1]+"%,"+e[2]+"%)"},toHsla:function(){var t=this.getSource(),e=this._rgbToHsl(t[0],t[1],t[2]);return"hsla("+e[0]+","+e[1]+"%,"+e[2]+"%,"+t[3]+")"},toHex:function(){var t,e,i,r=this.getSource();return t=1===(t=r[0].toString(16)).length?"0"+t:t,e=1===(e=r[1].toString(16)).length?"0"+e:e,i=1===(i=r[2].toString(16)).length?"0"+i:i,t.toUpperCase()+e.toUpperCase()+i.toUpperCase()},toHexa:function(){var t,e=this.getSource();return t=1===(t=(t=Math.round(255*e[3])).toString(16)).length?"0"+t:t,this.toHex()+t.toUpperCase()},getAlpha:function(){return this.getSource()[3]},setAlpha:function(t){var e=this.getSource();return e[3]=t,this.setSource(e),this},toGrayscale:function(){var t=this.getSource(),e=parseInt((.3*t[0]+.59*t[1]+.11*t[2]).toFixed(0),10),i=t[3];return this.setSource([e,e,e,i]),this},toBlackWhite:function(t){var e=this.getSource(),i=(.3*e[0]+.59*e[1]+.11*e[2]).toFixed(0),r=e[3];return t=t||127,i=Number(i)<Number(t)?0:255,this.setSource([i,i,i,r]),this},overlayWith:function(t){t instanceof l||(t=new l(t));var e,i=[],r=this.getAlpha(),n=this.getSource(),s=t.getSource();for(e=0;e<3;e++)i.push(Math.round(.5*n[e]+.5*s[e]));return i[3]=r,this.setSource(i),this}},c.Color.reRGBa=/^rgba?\(\s*(\d{1,3}(?:\.\d+)?\%?)\s*,\s*(\d{1,3}(?:\.\d+)?\%?)\s*,\s*(\d{1,3}(?:\.\d+)?\%?)\s*(?:\s*,\s*((?:\d*\.?\d+)?)\s*)?\)$/i,c.Color.reHSLa=/^hsla?\(\s*(\d{1,3})\s*,\s*(\d{1,3}\%)\s*,\s*(\d{1,3}\%)\s*(?:\s*,\s*(\d+(?:\.\d+)?)\s*)?\)$/i,c.Color.reHex=/^#?([0-9a-f]{8}|[0-9a-f]{6}|[0-9a-f]{4}|[0-9a-f]{3})$/i,c.Color.colorNameMap={aliceblue:"#F0F8FF",antiquewhite:"#FAEBD7",aqua:"#00FFFF",aquamarine:"#7FFFD4",azure:"#F0FFFF",beige:"#F5F5DC",bisque:"#FFE4C4",black:"#000000",blanchedalmond:"#FFEBCD",blue:"#0000FF",blueviolet:"#8A2BE2",brown:"#A52A2A",burlywood:"#DEB887",cadetblue:"#5F9EA0",chartreuse:"#7FFF00",chocolate:"#D2691E",coral:"#FF7F50",cornflowerblue:"#6495ED",cornsilk:"#FFF8DC",crimson:"#DC143C",cyan:"#00FFFF",darkblue:"#00008B",darkcyan:"#008B8B",darkgoldenrod:"#B8860B",darkgray:"#A9A9A9",darkgrey:"#A9A9A9",darkgreen:"#006400",darkkhaki:"#BDB76B",darkmagenta:"#8B008B",darkolivegreen:"#556B2F",darkorange:"#FF8C00",darkorchid:"#9932CC",darkred:"#8B0000",darksalmon:"#E9967A",darkseagreen:"#8FBC8F",darkslateblue:"#483D8B",darkslategray:"#2F4F4F",darkslategrey:"#2F4F4F",darkturquoise:"#00CED1",darkviolet:"#9400D3",deeppink:"#FF1493",deepskyblue:"#00BFFF",dimgray:"#696969",dimgrey:"#696969",dodgerblue:"#1E90FF",firebrick:"#B22222",floralwhite:"#FFFAF0",forestgreen:"#228B22",fuchsia:"#FF00FF",gainsboro:"#DCDCDC",ghostwhite:"#F8F8FF",gold:"#FFD700",goldenrod:"#DAA520",gray:"#808080",grey:"#808080",green:"#008000",greenyellow:"#ADFF2F",honeydew:"#F0FFF0",hotpink:"#FF69B4",indianred:"#CD5C5C",indigo:"#4B0082",ivory:"#FFFFF0",khaki:"#F0E68C",lavender:"#E6E6FA",lavenderblush:"#FFF0F5",lawngreen:"#7CFC00",lemonchiffon:"#FFFACD",lightblue:"#ADD8E6",lightcoral:"#F08080",lightcyan:"#E0FFFF",lightgoldenrodyellow:"#FAFAD2",lightgray:"#D3D3D3",lightgrey:"#D3D3D3",lightgreen:"#90EE90",lightpink:"#FFB6C1",lightsalmon:"#FFA07A",lightseagreen:"#20B2AA",lightskyblue:"#87CEFA",lightslategray:"#778899",lightslategrey:"#778899",lightsteelblue:"#B0C4DE",lightyellow:"#FFFFE0",lime:"#00FF00",limegreen:"#32CD32",linen:"#FAF0E6",magenta:"#FF00FF",maroon:"#800000",mediumaquamarine:"#66CDAA",mediumblue:"#0000CD",mediumorchid:"#BA55D3",mediumpurple:"#9370DB",mediumseagreen:"#3CB371",mediumslateblue:"#7B68EE",mediumspringgreen:"#00FA9A",mediumturquoise:"#48D1CC",mediumvioletred:"#C71585",midnightblue:"#191970",mintcream:"#F5FFFA",mistyrose:"#FFE4E1",moccasin:"#FFE4B5",navajowhite:"#FFDEAD",navy:"#000080",oldlace:"#FDF5E6",olive:"#808000",olivedrab:"#6B8E23",orange:"#FFA500",orangered:"#FF4500",orchid:"#DA70D6",palegoldenrod:"#EEE8AA",palegreen:"#98FB98",paleturquoise:"#AFEEEE",palevioletred:"#DB7093",papayawhip:"#FFEFD5",peachpuff:"#FFDAB9",peru:"#CD853F",pink:"#FFC0CB",plum:"#DDA0DD",powderblue:"#B0E0E6",purple:"#800080",rebeccapurple:"#663399",red:"#FF0000",rosybrown:"#BC8F8F",royalblue:"#4169E1",saddlebrown:"#8B4513",salmon:"#FA8072",sandybrown:"#F4A460",seagreen:"#2E8B57",seashell:"#FFF5EE",sienna:"#A0522D",silver:"#C0C0C0",skyblue:"#87CEEB",slateblue:"#6A5ACD",slategray:"#708090",slategrey:"#708090",snow:"#FFFAFA",springgreen:"#00FF7F",steelblue:"#4682B4",tan:"#D2B48C",teal:"#008080",thistle:"#D8BFD8",tomato:"#FF6347",turquoise:"#40E0D0",violet:"#EE82EE",wheat:"#F5DEB3",white:"#FFFFFF",whitesmoke:"#F5F5F5",yellow:"#FFFF00",yellowgreen:"#9ACD32"},c.Color.fromRgb=function(t){return l.fromSource(l.sourceFromRgb(t))},c.Color.sourceFromRgb=function(t){var e=t.match(l.reRGBa);if(e){var i=parseInt(e[1],10)/(/%$/.test(e[1])?100:1)*(/%$/.test(e[1])?255:1),r=parseInt(e[2],10)/(/%$/.test(e[2])?100:1)*(/%$/.test(e[2])?255:1),n=parseInt(e[3],10)/(/%$/.test(e[3])?100:1)*(/%$/.test(e[3])?255:1);return[parseInt(i,10),parseInt(r,10),parseInt(n,10),e[4]?parseFloat(e[4]):1]}},c.Color.fromRgba=l.fromRgb,c.Color.fromHsl=function(t){return l.fromSource(l.sourceFromHsl(t))},c.Color.sourceFromHsl=function(t){var e=t.match(l.reHSLa);if(e){var i,r,n,s=(parseFloat(e[1])%360+360)%360/360,o=parseFloat(e[2])/(/%$/.test(e[2])?100:1),a=parseFloat(e[3])/(/%$/.test(e[3])?100:1);if(0===o)i=r=n=a;else{var h=a<=.5?a*(o+1):a+o-a*o,c=2*a-h;i=u(c,h,s+1/3),r=u(c,h,s),n=u(c,h,s-1/3)}return[Math.round(255*i),Math.round(255*r),Math.round(255*n),e[4]?parseFloat(e[4]):1]}},c.Color.fromHsla=l.fromHsl,c.Color.fromHex=function(t){return l.fromSource(l.sourceFromHex(t))},c.Color.sourceFromHex=function(t){if(t.match(l.reHex)){var e=t.slice(t.indexOf("#")+1),i=3===e.length||4===e.length,r=8===e.length||4===e.length,n=i?e.charAt(0)+e.charAt(0):e.substring(0,2),s=i?e.charAt(1)+e.charAt(1):e.substring(2,4),o=i?e.charAt(2)+e.charAt(2):e.substring(4,6),a=r?i?e.charAt(3)+e.charAt(3):e.substring(6,8):"FF";return[parseInt(n,16),parseInt(s,16),parseInt(o,16),parseFloat((parseInt(a,16)/255).toFixed(2))]}},c.Color.fromSource=function(t){var e=new l;return e.setSource(t),e})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var l=t.fabric||(t.fabric={}),o=["e","se","s","sw","w","nw","n","ne","e"],s=["ns","nesw","ew","nwse"],n={},f="left",d="top",g="right",p="bottom",h="center",T={top:p,bottom:d,left:g,right:f,center:h},v=l.util.radiansToDegrees,w=Math.sign||function(t){return(0<t)-(t<0)||+t};function a(t,e){var i=t.angle+v(Math.atan2(e.y,e.x))+360;return Math.round(i%360/45)}function O(t,e){var i=e.transform.target,r=i.canvas,n=l.util.object.clone(e);n.target=i,r&&r.fire("object:"+t,n),i.fire(t,e)}function k(t,e){var i=e.canvas,r=t[i.uniScaleKey];return i.uniformScaling&&!r||!i.uniformScaling&&r}function P(t){return t.originX===h&&t.originY===h}function D(t,e,i){var r=t.lockScalingX,n=t.lockScalingY;return!(!r||!n)||(!(e||!r&&!n||!i)||(!(!r||"x"!==e)||!(!n||"y"!==e)))}function E(t,e,i,r){return{e:t,transform:e,pointer:{x:i,y:r}}}function c(h){return function(t,e,i,r){var n=e.target,s=n.getCenterPoint(),o=n.translateToOriginPoint(s,e.originX,e.originY),a=h(t,e,i,r);return n.setPositionByOrigin(o,e.originX,e.originY),a}}function A(t,e,i,r,n){var s=t.target,o=s.controls[t.corner],a=s.canvas.getZoom(),h=s.padding/a,c=s.toLocalPoint(new l.Point(r,n),e,i);return c.x>=h&&(c.x-=h),c.x<=-h&&(c.x+=h),c.y>=h&&(c.y-=h),c.y<=h&&(c.y+=h),c.x-=o.offsetX,c.y-=o.offsetY,c}function m(t){return t.flipX&&!t.flipY||!t.flipX&&t.flipY}function b(t,e,i,r,n){if(0!==t[e]){var s=n/t._getTransformedDimensions()[r]*t[i];t.set(i,s)}}function u(t,e,i,r){var n,s=e.target,o=s._getTransformedDimensions(0,s.skewY),a=A(e,e.originX,e.originY,i,r),h=Math.abs(2*a.x)-o.x,c=s.skewX;h<2?n=0:(n=v(Math.atan2(h/s.scaleX,o.y/s.scaleY)),e.originX===f&&e.originY===p&&(n=-n),e.originX===g&&e.originY===d&&(n=-n),m(s)&&(n=-n));var l=c!==n;if(l){var u=s._getTransformedDimensions().y;s.set("skewX",n),b(s,"skewY","scaleY","y",u),O("skewing",E(t,e,i,r))}return l}function y(t,e,i,r){var n,s=e.target,o=s._getTransformedDimensions(s.skewX,0),a=A(e,e.originX,e.originY,i,r),h=Math.abs(2*a.y)-o.y,c=s.skewY;h<2?n=0:(n=v(Math.atan2(h/s.scaleY,o.x/s.scaleX)),e.originX===f&&e.originY===p&&(n=-n),e.originX===g&&e.originY===d&&(n=-n),m(s)&&(n=-n));var l=c!==n;if(l){var u=s._getTransformedDimensions().x;s.set("skewY",n),b(s,"skewX","scaleX","x",u),O("skewing",E(t,e,i,r))}return l}function _(t,e,i,r,n){n=n||{};var s,o,a,h,c,l,u=e.target,f=u.lockScalingX,d=u.lockScalingY,g=n.by,p=k(t,u),v=D(u,g,p),m=e.gestureScale;if(v)return!1;if(m)o=e.scaleX*m,a=e.scaleY*m;else{if(s=A(e,e.originX,e.originY,i,r),c="y"!==g?w(s.x):1,l="x"!==g?w(s.y):1,e.signX||(e.signX=c),e.signY||(e.signY=l),u.lockScalingFlip&&(e.signX!==c||e.signY!==l))return!1;if(h=u._getTransformedDimensions(),p&&!g){var b,y=Math.abs(s.x)+Math.abs(s.y),_=e.original,x=y/(Math.abs(h.x*_.scaleX/u.scaleX)+Math.abs(h.y*_.scaleY/u.scaleY));o=_.scaleX*x,a=_.scaleY*x}else o=Math.abs(s.x*u.scaleX/h.x),a=Math.abs(s.y*u.scaleY/h.y);P(e)&&(o*=2,a*=2),e.signX!==c&&"y"!==g&&(e.originX=T[e.originX],o*=-1,e.signX=c),e.signY!==l&&"x"!==g&&(e.originY=T[e.originY],a*=-1,e.signY=l)}var C=u.scaleX,S=u.scaleY;return g?("x"===g&&u.set("scaleX",o),"y"===g&&u.set("scaleY",a)):(!f&&u.set("scaleX",o),!d&&u.set("scaleY",a)),(b=C!==u.scaleX||S!==u.scaleY)&&O("scaling",E(t,e,i,r)),b}n.scaleCursorStyleHandler=function(t,e,i){var r=k(t,i),n="";if(0!==e.x&&0===e.y?n="x":0===e.x&&0!==e.y&&(n="y"),D(i,n,r))return"not-allowed";var s=a(i,e);return o[s]+"-resize"},n.skewCursorStyleHandler=function(t,e,i){var r="not-allowed";if(0!==e.x&&i.lockSkewingY)return r;if(0!==e.y&&i.lockSkewingX)return r;var n=a(i,e)%4;return s[n]+"-resize"},n.scaleSkewCursorStyleHandler=function(t,e,i){return t[i.canvas.altActionKey]?n.skewCursorStyleHandler(t,e,i):n.scaleCursorStyleHandler(t,e,i)},n.rotationWithSnapping=c(function(t,e,i,r){var n=e,s=n.target,o=s.translateToOriginPoint(s.getCenterPoint(),n.originX,n.originY);if(s.lockRotation)return!1;var a,h=Math.atan2(n.ey-o.y,n.ex-o.x),c=Math.atan2(r-o.y,i-o.x),l=v(c-h+n.theta);if(0<s.snapAngle){var u=s.snapAngle,f=s.snapThreshold||u,d=Math.ceil(l/u)*u,g=Math.floor(l/u)*u;Math.abs(l-g)<f?l=g:Math.abs(l-d)<f&&(l=d)}return l<0&&(l=360+l),l%=360,a=s.angle!==l,s.angle=l,a&&O("rotating",E(t,e,i,r)),a}),n.scalingEqually=c(function(t,e,i,r){return _(t,e,i,r)}),n.scalingX=c(function(t,e,i,r){return _(t,e,i,r,{by:"x"})}),n.scalingY=c(function(t,e,i,r){return _(t,e,i,r,{by:"y"})}),n.scalingYOrSkewingX=function(t,e,i,r){return t[e.target.canvas.altActionKey]?n.skewHandlerX(t,e,i,r):n.scalingY(t,e,i,r)},n.scalingXOrSkewingY=function(t,e,i,r){return t[e.target.canvas.altActionKey]?n.skewHandlerY(t,e,i,r):n.scalingX(t,e,i,r)},n.changeWidth=c(function(t,e,i,r){var n,s=e.target,o=A(e,e.originX,e.originY,i,r),a=s.strokeWidth/(s.strokeUniform?s.scaleX:1),h=P(e)?2:1,c=s.width,l=Math.abs(o.x*h/s.scaleX)-a;return s.set("width",Math.max(l,0)),(n=c!==l)&&O("resizing",E(t,e,i,r)),n}),n.skewHandlerX=function(t,e,i,r){var n,s=e.target,o=s.skewX,a=e.originY;return!s.lockSkewingX&&(0===o?n=0<A(e,h,h,i,r).x?f:g:(0<o&&(n=a===d?f:g),o<0&&(n=a===d?g:f),m(s)&&(n=n===f?g:f)),e.originX=n,c(u)(t,e,i,r))},n.skewHandlerY=function(t,e,i,r){var n,s=e.target,o=s.skewY,a=e.originX;return!s.lockSkewingY&&(0===o?n=0<A(e,h,h,i,r).y?d:p:(0<o&&(n=a===f?d:p),o<0&&(n=a===f?p:d),m(s)&&(n=n===d?p:d)),e.originY=n,c(y)(t,e,i,r))},n.dragHandler=function(t,e,i,r){var n=e.target,s=i-e.offsetX,o=r-e.offsetY,a=!n.get("lockMovementX")&&n.left!==s,h=!n.get("lockMovementY")&&n.top!==o;return a&&n.set("left",s),h&&n.set("top",o),(a||h)&&O("moving",E(t,e,i,r)),a||h},n.scaleOrSkewActionName=function(t,e,i){var r=t[i.canvas.altActionKey];return 0===e.x?r?"skewX":"scaleY":0===e.y?r?"skewY":"scaleX":void 0},n.rotationStyleHandler=function(t,e,i){return i.lockRotation?"not-allowed":e.cursorStyle},n.fireEvent=O,n.wrapWithFixedAnchor=c,n.getLocalPoint=A,l.controlsUtils=n}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),f=e.util.degreesToRadians,i=e.controlsUtils;i.renderCircleControl=function(t,e,i,r,n){r=r||{};var s,o=this.sizeX||r.cornerSize||n.cornerSize,a=this.sizeY||r.cornerSize||n.cornerSize,h=void 0!==r.transparentCorners?r.transparentCorners:this.transparentCorners,c=h?"stroke":"fill",l=!h&&(r.cornerStrokeColor||n.cornerStrokeColor),u=e,f=i;t.save(),t.fillStyle=r.cornerColor||n.cornerColor,t.strokeStyle=r.cornerStrokeColor||n.cornerStrokeColor,a<o?(s=o,t.scale(1,a/o),f=i*o/a):o<a?(s=a,t.scale(o/a,1),u=e*a/o):s=o,t.lineWidth=1,t.beginPath(),t.arc(u,f,s/2,0,2*Math.PI,!1),t[c](),l&&t.stroke(),t.restore()},i.renderSquareControl=function(t,e,i,r,n){r=r||{};var s=this.sizeX||r.cornerSize||n.cornerSize,o=this.sizeY||r.cornerSize||n.cornerSize,a=void 0!==r.transparentCorners?r.transparentCorners:n.transparentCorners,h=a?"stroke":"fill",c=!a&&(r.cornerStrokeColor||n.cornerStrokeColor),l=s/2,u=o/2;t.save(),t.fillStyle=r.cornerColor||n.cornerColor,t.strokeStyle=r.strokeCornerColor||n.strokeCornerColor,t.lineWidth=1,t.translate(e,i),t.rotate(f(n.angle)),t[h+"Rect"](-l,-u,s,o),c&&t.strokeRect(-l,-u,s,o),t.restore()}}("undefined"!=typeof exports?exports:this),function(t){"use strict";var p=t.fabric||(t.fabric={});p.Control=function(t){for(var e in t)this[e]=t[e]},p.Control.prototype={visible:!0,actionName:"scale",angle:0,x:0,y:0,offsetX:0,offsetY:0,sizeX:null,sizeY:null,touchSizeX:null,touchSizeY:null,cursorStyle:"crosshair",withConnection:!1,actionHandler:function(){},mouseDownHandler:function(){},mouseUpHandler:function(){},getActionHandler:function(){return this.actionHandler},getMouseDownHandler:function(){return this.mouseDownHandler},getMouseUpHandler:function(){return this.mouseUpHandler},cursorStyleHandler:function(t,e){return e.cursorStyle},getActionName:function(t,e){return e.actionName},getVisibility:function(t,e){var i=t._controlsVisibility;return i&&void 0!==i[e]?i[e]:this.visible},setVisibility:function(t){this.visible=t},positionHandler:function(t,e){return p.util.transformPoint({x:this.x*t.x+this.offsetX,y:this.y*t.y+this.offsetY},e)},calcCornerCoords:function(t,e,i,r,n){var s,o,a,h,c=n?this.touchSizeX:this.sizeX,l=n?this.touchSizeY:this.sizeY;if(c&&l&&c!==l){var u=Math.atan2(l,c),f=Math.sqrt(c*c+l*l)/2,d=u-p.util.degreesToRadians(t),g=Math.PI/2-u-p.util.degreesToRadians(t);s=f*p.util.cos(d),o=f*p.util.sin(d),a=f*p.util.cos(g),h=f*p.util.sin(g)}else{f=.7071067812*(c&&l?c:e);d=p.util.degreesToRadians(45-t);s=a=f*p.util.cos(d),o=h=f*p.util.sin(d)}return{tl:{x:i-h,y:r-a},tr:{x:i+s,y:r-o},bl:{x:i-s,y:r+o},br:{x:i+h,y:r+a}}},render:function(t,e,i,r,n){switch((r=r||{}).cornerStyle||n.cornerStyle){case"circle":p.controlsUtils.renderCircleControl.call(this,t,e,i,r,n);break;default:p.controlsUtils.renderSquareControl.call(this,t,e,i,r,n)}}}}("undefined"!=typeof exports?exports:this),function(){function C(t,e){var i,r,n,s,o=t.getAttribute("style"),a=t.getAttribute("offset")||0;if(a=(a=parseFloat(a)/(/%$/.test(a)?100:1))<0?0:1<a?1:a,o){var h=o.split(/\s*;\s*/);for(""===h[h.length-1]&&h.pop(),s=h.length;s--;){var c=h[s].split(/\s*:\s*/),l=c[0].trim(),u=c[1].trim();"stop-color"===l?i=u:"stop-opacity"===l&&(n=u)}}return i||(i=t.getAttribute("stop-color")||"rgb(0,0,0)"),n||(n=t.getAttribute("stop-opacity")),r=(i=new fabric.Color(i)).getAlpha(),n=isNaN(parseFloat(n))?1:parseFloat(n),n*=r*e,{offset:a,color:i.toRgb(),opacity:n}}var m=fabric.util.object.clone;fabric.Gradient=fabric.util.createClass({offsetX:0,offsetY:0,gradientTransform:null,gradientUnits:"pixels",type:"linear",initialize:function(e){e||(e={}),e.coords||(e.coords={});var t,i=this;Object.keys(e).forEach(function(t){i[t]=e[t]}),this.id?this.id+="_"+fabric.Object.__uid++:this.id=fabric.Object.__uid++,t={x1:e.coords.x1||0,y1:e.coords.y1||0,x2:e.coords.x2||0,y2:e.coords.y2||0},"radial"===this.type&&(t.r1=e.coords.r1||0,t.r2=e.coords.r2||0),this.coords=t,this.colorStops=e.colorStops.slice()},addColorStop:function(t){for(var e in t){var i=new fabric.Color(t[e]);this.colorStops.push({offset:parseFloat(e),color:i.toRgb(),opacity:i.getAlpha()})}return this},toObject:function(t){var e={type:this.type,coords:this.coords,colorStops:this.colorStops,offsetX:this.offsetX,offsetY:this.offsetY,gradientUnits:this.gradientUnits,gradientTransform:this.gradientTransform?this.gradientTransform.concat():this.gradientTransform};return fabric.util.populateWithProperties(this,e,t),e},toSVG:function(t,e){var i,r,n,s,o=m(this.coords,!0),a=(e=e||{},m(this.colorStops,!0)),h=o.r1>o.r2,c=this.gradientTransform?this.gradientTransform.concat():fabric.iMatrix.concat(),l=-this.offsetX,u=-this.offsetY,f=!!e.additionalTransform,d="pixels"===this.gradientUnits?"userSpaceOnUse":"objectBoundingBox";if(a.sort(function(t,e){return t.offset-e.offset}),"objectBoundingBox"===d?(l/=t.width,u/=t.height):(l+=t.width/2,u+=t.height/2),"path"===t.type&&"percentage"!==this.gradientUnits&&(l-=t.pathOffset.x,u-=t.pathOffset.y),c[4]-=l,c[5]-=u,s='id="SVGID_'+this.id+'" gradientUnits="'+d+'"',s+=' gradientTransform="'+(f?e.additionalTransform+" ":"")+fabric.util.matrixToSVG(c)+'" ',"linear"===this.type?n=["<linearGradient ",s,' x1="',o.x1,'" y1="',o.y1,'" x2="',o.x2,'" y2="',o.y2,'">\n']:"radial"===this.type&&(n=["<radialGradient ",s,' cx="',h?o.x1:o.x2,'" cy="',h?o.y1:o.y2,'" r="',h?o.r1:o.r2,'" fx="',h?o.x2:o.x1,'" fy="',h?o.y2:o.y1,'">\n']),"radial"===this.type){if(h)for((a=a.concat()).reverse(),i=0,r=a.length;i<r;i++)a[i].offset=1-a[i].offset;var g=Math.min(o.r1,o.r2);if(0<g){var p=g/Math.max(o.r1,o.r2);for(i=0,r=a.length;i<r;i++)a[i].offset+=p*(1-a[i].offset)}}for(i=0,r=a.length;i<r;i++){var v=a[i];n.push("<stop ",'offset="',100*v.offset+"%",'" style="stop-color:',v.color,void 0!==v.opacity?";stop-opacity: "+v.opacity:";",'"/>\n')}return n.push("linear"===this.type?"</linearGradient>\n":"</radialGradient>\n"),n.join("")},toLive:function(t){var e,i,r,n=fabric.util.object.clone(this.coords);if(this.type){for("linear"===this.type?e=t.createLinearGradient(n.x1,n.y1,n.x2,n.y2):"radial"===this.type&&(e=t.createRadialGradient(n.x1,n.y1,n.r1,n.x2,n.y2,n.r2)),i=0,r=this.colorStops.length;i<r;i++){var s=this.colorStops[i].color,o=this.colorStops[i].opacity,a=this.colorStops[i].offset;void 0!==o&&(s=new fabric.Color(s).setAlpha(o).toRgba()),e.addColorStop(a,s)}return e}}}),fabric.util.object.extend(fabric.Gradient,{fromElement:function(t,e,i,r){var n=parseFloat(i)/(/%$/.test(i)?100:1);n=n<0?0:1<n?1:n,isNaN(n)&&(n=1);var s,o,a,h,c,l,u,f,d,g,p,v=t.getElementsByTagName("stop"),m="userSpaceOnUse"===t.getAttribute("gradientUnits")?"pixels":"percentage",b=t.getAttribute("gradientTransform")||"",y=[],_=0,x=0;for("linearGradient"===t.nodeName||"LINEARGRADIENT"===t.nodeName?(s="linear",o={x1:(l=t).getAttribute("x1")||0,y1:l.getAttribute("y1")||0,x2:l.getAttribute("x2")||"100%",y2:l.getAttribute("y2")||0}):(s="radial",o={x1:(c=t).getAttribute("fx")||c.getAttribute("cx")||"50%",y1:c.getAttribute("fy")||c.getAttribute("cy")||"50%",r1:0,x2:c.getAttribute("cx")||"50%",y2:c.getAttribute("cy")||"50%",r2:c.getAttribute("r")||"50%"}),a=v.length;a--;)y.push(C(v[a],n));return h=fabric.parseTransformAttribute(b),u=o,f=r,d=m,Object.keys(u).forEach(function(t){"Infinity"===(g=u[t])?p=1:"-Infinity"===g?p=0:(p=parseFloat(u[t],10),"string"==typeof g&&/^(\d+\.\d+)%|(\d+)%$/.test(g)&&(p*=.01,"pixels"===d&&("x1"!==t&&"x2"!==t&&"r2"!==t||(p*=f.viewBoxWidth||f.width),"y1"!==t&&"y2"!==t||(p*=f.viewBoxHeight||f.height)))),u[t]=p}),"pixels"===m&&(_=-e.left,x=-e.top),new fabric.Gradient({id:t.getAttribute("id"),type:s,coords:o,colorStops:y,gradientUnits:m,gradientTransform:h,offsetX:_,offsetY:x})}})}(),function(){"use strict";var n=fabric.util.toFixed;fabric.Pattern=fabric.util.createClass({repeat:"repeat",offsetX:0,offsetY:0,crossOrigin:"",patternTransform:null,initialize:function(t,i){if(t||(t={}),this.id=fabric.Object.__uid++,this.setOptions(t),!t.source||t.source&&"string"!=typeof t.source)i&&i(this);else{var r=this;this.source=fabric.util.createImage(),fabric.util.loadImage(t.source,function(t,e){r.source=t,i&&i(r,e)},null,this.crossOrigin)}},toObject:function(t){var e,i,r=fabric.Object.NUM_FRACTION_DIGITS;return"string"==typeof this.source.src?e=this.source.src:"object"==typeof this.source&&this.source.toDataURL&&(e=this.source.toDataURL()),i={type:"pattern",source:e,repeat:this.repeat,crossOrigin:this.crossOrigin,offsetX:n(this.offsetX,r),offsetY:n(this.offsetY,r),patternTransform:this.patternTransform?this.patternTransform.concat():null},fabric.util.populateWithProperties(this,i,t),i},toSVG:function(t){var e="function"==typeof this.source?this.source():this.source,i=e.width/t.width,r=e.height/t.height,n=this.offsetX/t.width,s=this.offsetY/t.height,o="";return"repeat-x"!==this.repeat&&"no-repeat"!==this.repeat||(r=1,s&&(r+=Math.abs(s))),"repeat-y"!==this.repeat&&"no-repeat"!==this.repeat||(i=1,n&&(i+=Math.abs(n))),e.src?o=e.src:e.toDataURL&&(o=e.toDataURL()),'<pattern id="SVGID_'+this.id+'" x="'+n+'" y="'+s+'" width="'+i+'" height="'+r+'">\n<image x="0" y="0" width="'+e.width+'" height="'+e.height+'" xlink:href="'+o+'"></image>\n</pattern>\n'},setOptions:function(t){for(var e in t)this[e]=t[e]},toLive:function(t){var e=this.source;if(!e)return"";if(void 0!==e.src){if(!e.complete)return"";if(0===e.naturalWidth||0===e.naturalHeight)return""}return t.createPattern(e,this.repeat)}})}(),function(t){"use strict";var o=t.fabric||(t.fabric={}),a=o.util.toFixed;o.Shadow?o.warn("fabric.Shadow is already defined."):(o.Shadow=o.util.createClass({color:"rgb(0,0,0)",blur:0,offsetX:0,offsetY:0,affectStroke:!1,includeDefaultValues:!0,nonScaling:!1,initialize:function(t){for(var e in"string"==typeof t&&(t=this._parseShadow(t)),t)this[e]=t[e];this.id=o.Object.__uid++},_parseShadow:function(t){var e=t.trim(),i=o.Shadow.reOffsetsAndBlur.exec(e)||[];return{color:(e.replace(o.Shadow.reOffsetsAndBlur,"")||"rgb(0,0,0)").trim(),offsetX:parseInt(i[1],10)||0,offsetY:parseInt(i[2],10)||0,blur:parseInt(i[3],10)||0}},toString:function(){return[this.offsetX,this.offsetY,this.blur,this.color].join("px ")},toSVG:function(t){var e=40,i=40,r=o.Object.NUM_FRACTION_DIGITS,n=o.util.rotateVector({x:this.offsetX,y:this.offsetY},o.util.degreesToRadians(-t.angle)),s=new o.Color(this.color);return t.width&&t.height&&(e=100*a((Math.abs(n.x)+this.blur)/t.width,r)+20,i=100*a((Math.abs(n.y)+this.blur)/t.height,r)+20),t.flipX&&(n.x*=-1),t.flipY&&(n.y*=-1),'<filter id="SVGID_'+this.id+'" y="-'+i+'%" height="'+(100+2*i)+'%" x="-'+e+'%" width="'+(100+2*e)+'%" >\n\t<feGaussianBlur in="SourceAlpha" stdDeviation="'+a(this.blur?this.blur/2:0,r)+'"></feGaussianBlur>\n\t<feOffset dx="'+a(n.x,r)+'" dy="'+a(n.y,r)+'" result="oBlur" ></feOffset>\n\t<feFlood flood-color="'+s.toRgb()+'" flood-opacity="'+s.getAlpha()+'"/>\n\t<feComposite in2="oBlur" operator="in" />\n\t<feMerge>\n\t\t<feMergeNode></feMergeNode>\n\t\t<feMergeNode in="SourceGraphic"></feMergeNode>\n\t</feMerge>\n</filter>\n'},toObject:function(){if(this.includeDefaultValues)return{color:this.color,blur:this.blur,offsetX:this.offsetX,offsetY:this.offsetY,affectStroke:this.affectStroke,nonScaling:this.nonScaling};var e={},i=o.Shadow.prototype;return["color","blur","offsetX","offsetY","affectStroke","nonScaling"].forEach(function(t){this[t]!==i[t]&&(e[t]=this[t])},this),e}}),o.Shadow.reOffsetsAndBlur=/(?:\s|^)(-?\d+(?:px)?(?:\s?|$))?(-?\d+(?:px)?(?:\s?|$))?(\d+(?:px)?)?(?:\s?|$)(?:$|\s)/)}("undefined"!=typeof exports?exports:this),function(){"use strict";if(fabric.StaticCanvas)fabric.warn("fabric.StaticCanvas is already defined.");else{var n=fabric.util.object.extend,t=fabric.util.getElementOffset,c=fabric.util.removeFromArray,a=fabric.util.toFixed,s=fabric.util.transformPoint,o=fabric.util.invertTransform,i=fabric.util.getNodeCanvas,r=fabric.util.createCanvasElement,e=new Error("Could not initialize `canvas` element");fabric.StaticCanvas=fabric.util.createClass(fabric.CommonMethods,{initialize:function(t,e){e||(e={}),this.renderAndResetBound=this.renderAndReset.bind(this),this.requestRenderAllBound=this.requestRenderAll.bind(this),this._initStatic(t,e)},backgroundColor:"",backgroundImage:null,overlayColor:"",overlayImage:null,includeDefaultValues:!0,stateful:!1,renderOnAddRemove:!0,controlsAboveOverlay:!1,allowTouchScrolling:!1,imageSmoothingEnabled:!0,viewportTransform:fabric.iMatrix.concat(),backgroundVpt:!0,overlayVpt:!0,enableRetinaScaling:!0,vptCoords:{},skipOffscreen:!0,clipPath:void 0,_initStatic:function(t,e){var i=this.requestRenderAllBound;this._objects=[],this._createLowerCanvas(t),this._initOptions(e),this.interactive||this._initRetinaScaling(),e.overlayImage&&this.setOverlayImage(e.overlayImage,i),e.backgroundImage&&this.setBackgroundImage(e.backgroundImage,i),e.backgroundColor&&this.setBackgroundColor(e.backgroundColor,i),e.overlayColor&&this.setOverlayColor(e.overlayColor,i),this.calcOffset()},_isRetinaScaling:function(){return 1!==fabric.devicePixelRatio&&this.enableRetinaScaling},getRetinaScaling:function(){return this._isRetinaScaling()?fabric.devicePixelRatio:1},_initRetinaScaling:function(){if(this._isRetinaScaling()){var t=fabric.devicePixelRatio;this.__initRetinaScaling(t,this.lowerCanvasEl,this.contextContainer),this.upperCanvasEl&&this.__initRetinaScaling(t,this.upperCanvasEl,this.contextTop)}},__initRetinaScaling:function(t,e,i){e.setAttribute("width",this.width*t),e.setAttribute("height",this.height*t),i.scale(t,t)},calcOffset:function(){return this._offset=t(this.lowerCanvasEl),this},setOverlayImage:function(t,e,i){return this.__setBgOverlayImage("overlayImage",t,e,i)},setBackgroundImage:function(t,e,i){return this.__setBgOverlayImage("backgroundImage",t,e,i)},setOverlayColor:function(t,e){return this.__setBgOverlayColor("overlayColor",t,e)},setBackgroundColor:function(t,e){return this.__setBgOverlayColor("backgroundColor",t,e)},__setBgOverlayImage:function(r,t,n,s){return"string"==typeof t?fabric.util.loadImage(t,function(t,e){if(t){var i=new fabric.Image(t,s);(this[r]=i).canvas=this}n&&n(t,e)},this,s&&s.crossOrigin):(s&&t.setOptions(s),(this[r]=t)&&(t.canvas=this),n&&n(t,!1)),this},__setBgOverlayColor:function(t,e,i){return this[t]=e,this._initGradient(e,t),this._initPattern(e,t,i),this},_createCanvasElement:function(){var t=r();if(!t)throw e;if(t.style||(t.style={}),void 0===t.getContext)throw e;return t},_initOptions:function(t){var e=this.lowerCanvasEl;this._setOptions(t),this.width=this.width||parseInt(e.width,10)||0,this.height=this.height||parseInt(e.height,10)||0,this.lowerCanvasEl.style&&(e.width=this.width,e.height=this.height,e.style.width=this.width+"px",e.style.height=this.height+"px",this.viewportTransform=this.viewportTransform.slice())},_createLowerCanvas:function(t){t&&t.getContext?this.lowerCanvasEl=t:this.lowerCanvasEl=fabric.util.getById(t)||this._createCanvasElement(),fabric.util.addClass(this.lowerCanvasEl,"lower-canvas"),this.interactive&&this._applyCanvasStyle(this.lowerCanvasEl),this.contextContainer=this.lowerCanvasEl.getContext("2d")},getWidth:function(){return this.width},getHeight:function(){return this.height},setWidth:function(t,e){return this.setDimensions({width:t},e)},setHeight:function(t,e){return this.setDimensions({height:t},e)},setDimensions:function(t,e){var i;for(var r in e=e||{},t)i=t[r],e.cssOnly||(this._setBackstoreDimension(r,t[r]),i+="px",this.hasLostContext=!0),e.backstoreOnly||this._setCssDimension(r,i);return this._isCurrentlyDrawing&&this.freeDrawingBrush&&this.freeDrawingBrush._setBrushStyles(),this._initRetinaScaling(),this.calcOffset(),e.cssOnly||this.requestRenderAll(),this},_setBackstoreDimension:function(t,e){return this.lowerCanvasEl[t]=e,this.upperCanvasEl&&(this.upperCanvasEl[t]=e),this.cacheCanvasEl&&(this.cacheCanvasEl[t]=e),this[t]=e,this},_setCssDimension:function(t,e){return this.lowerCanvasEl.style[t]=e,this.upperCanvasEl&&(this.upperCanvasEl.style[t]=e),this.wrapperEl&&(this.wrapperEl.style[t]=e),this},getZoom:function(){return this.viewportTransform[0]},setViewportTransform:function(t){var e,i,r,n=this._activeObject,s=this.backgroundImage,o=this.overlayImage;for(this.viewportTransform=t,i=0,r=this._objects.length;i<r;i++)(e=this._objects[i]).group||e.setCoords(!0);return n&&n.setCoords(),s&&s.setCoords(!0),o&&o.setCoords(!0),this.calcViewportBoundaries(),this.renderOnAddRemove&&this.requestRenderAll(),this},zoomToPoint:function(t,e){var i=t,r=this.viewportTransform.slice(0);t=s(t,o(this.viewportTransform)),r[0]=e,r[3]=e;var n=s(t,r);return r[4]+=i.x-n.x,r[5]+=i.y-n.y,this.setViewportTransform(r)},setZoom:function(t){return this.zoomToPoint(new fabric.Point(0,0),t),this},absolutePan:function(t){var e=this.viewportTransform.slice(0);return e[4]=-t.x,e[5]=-t.y,this.setViewportTransform(e)},relativePan:function(t){return this.absolutePan(new fabric.Point(-t.x-this.viewportTransform[4],-t.y-this.viewportTransform[5]))},getElement:function(){return this.lowerCanvasEl},_onObjectAdded:function(t){this.stateful&&t.setupState(),t._set("canvas",this),t.setCoords(),this.fire("object:added",{target:t}),t.fire("added")},_onObjectRemoved:function(t){this.fire("object:removed",{target:t}),t.fire("removed"),delete t.canvas},clearContext:function(t){return t.clearRect(0,0,this.width,this.height),this},getContext:function(){return this.contextContainer},clear:function(){return this._objects.length=0,this.backgroundImage=null,this.overlayImage=null,this.backgroundColor="",this.overlayColor="",this._hasITextHandlers&&(this.off("mouse:up",this._mouseUpITextHandler),this._iTextInstances=null,this._hasITextHandlers=!1),this.clearContext(this.contextContainer),this.fire("canvas:cleared"),this.renderOnAddRemove&&this.requestRenderAll(),this},renderAll:function(){var t=this.contextContainer;return this.renderCanvas(t,this._objects),this},renderAndReset:function(){this.isRendering=0,this.renderAll()},requestRenderAll:function(){return this.isRendering||(this.isRendering=fabric.util.requestAnimFrame(this.renderAndResetBound)),this},calcViewportBoundaries:function(){var t={},e=this.width,i=this.height,r=o(this.viewportTransform);return t.tl=s({x:0,y:0},r),t.br=s({x:e,y:i},r),t.tr=new fabric.Point(t.br.x,t.tl.y),t.bl=new fabric.Point(t.tl.x,t.br.y),this.vptCoords=t},cancelRequestedRender:function(){this.isRendering&&(fabric.util.cancelAnimFrame(this.isRendering),this.isRendering=0)},renderCanvas:function(t,e){var i=this.viewportTransform,r=this.clipPath;this.cancelRequestedRender(),this.calcViewportBoundaries(),this.clearContext(t),fabric.util.setImageSmoothing(t,this.imageSmoothingEnabled),this.fire("before:render",{ctx:t}),this._renderBackground(t),t.save(),t.transform(i[0],i[1],i[2],i[3],i[4],i[5]),this._renderObjects(t,e),t.restore(),!this.controlsAboveOverlay&&this.interactive&&this.drawControls(t),r&&(r.canvas=this,r.shouldCache(),r._transformDone=!0,r.renderCache({forClipping:!0}),this.drawClipPathOnCanvas(t)),this._renderOverlay(t),this.controlsAboveOverlay&&this.interactive&&this.drawControls(t),this.fire("after:render",{ctx:t})},drawClipPathOnCanvas:function(t){var e=this.viewportTransform,i=this.clipPath;t.save(),t.transform(e[0],e[1],e[2],e[3],e[4],e[5]),t.globalCompositeOperation="destination-in",i.transform(t),t.scale(1/i.zoomX,1/i.zoomY),t.drawImage(i._cacheCanvas,-i.cacheTranslationX,-i.cacheTranslationY),t.restore()},_renderObjects:function(t,e){var i,r;for(i=0,r=e.length;i<r;++i)e[i]&&e[i].render(t)},_renderBackgroundOrOverlay:function(t,e){var i=this[e+"Color"],r=this[e+"Image"],n=this.viewportTransform,s=this[e+"Vpt"];if(i||r){if(i){t.save(),t.beginPath(),t.moveTo(0,0),t.lineTo(this.width,0),t.lineTo(this.width,this.height),t.lineTo(0,this.height),t.closePath(),t.fillStyle=i.toLive?i.toLive(t,this):i,s&&t.transform(n[0],n[1],n[2],n[3],n[4],n[5]),t.transform(1,0,0,1,i.offsetX||0,i.offsetY||0);var o=i.gradientTransform||i.patternTransform;o&&t.transform(o[0],o[1],o[2],o[3],o[4],o[5]),t.fill(),t.restore()}r&&(t.save(),s&&t.transform(n[0],n[1],n[2],n[3],n[4],n[5]),r.render(t),t.restore())}},_renderBackground:function(t){this._renderBackgroundOrOverlay(t,"background")},_renderOverlay:function(t){this._renderBackgroundOrOverlay(t,"overlay")},getCenter:function(){return{top:this.height/2,left:this.width/2}},centerObjectH:function(t){return this._centerObject(t,new fabric.Point(this.getCenter().left,t.getCenterPoint().y))},centerObjectV:function(t){return this._centerObject(t,new fabric.Point(t.getCenterPoint().x,this.getCenter().top))},centerObject:function(t){var e=this.getCenter();return this._centerObject(t,new fabric.Point(e.left,e.top))},viewportCenterObject:function(t){var e=this.getVpCenter();return this._centerObject(t,e)},viewportCenterObjectH:function(t){var e=this.getVpCenter();return this._centerObject(t,new fabric.Point(e.x,t.getCenterPoint().y)),this},viewportCenterObjectV:function(t){var e=this.getVpCenter();return this._centerObject(t,new fabric.Point(t.getCenterPoint().x,e.y))},getVpCenter:function(){var t=this.getCenter(),e=o(this.viewportTransform);return s({x:t.left,y:t.top},e)},_centerObject:function(t,e){return t.setPositionByOrigin(e,"center","center"),t.setCoords(),this.renderOnAddRemove&&this.requestRenderAll(),this},toDatalessJSON:function(t){return this.toDatalessObject(t)},toObject:function(t){return this._toObjectMethod("toObject",t)},toDatalessObject:function(t){return this._toObjectMethod("toDatalessObject",t)},_toObjectMethod:function(t,e){var i=this.clipPath,r={version:fabric.version,objects:this._toObjects(t,e)};return i&&(r.clipPath=this._toObject(this.clipPath,t,e)),n(r,this.__serializeBgOverlay(t,e)),fabric.util.populateWithProperties(this,r,e),r},_toObjects:function(e,i){return this._objects.filter(function(t){return!t.excludeFromExport}).map(function(t){return this._toObject(t,e,i)},this)},_toObject:function(t,e,i){var r;this.includeDefaultValues||(r=t.includeDefaultValues,t.includeDefaultValues=!1);var n=t[e](i);return this.includeDefaultValues||(t.includeDefaultValues=r),n},__serializeBgOverlay:function(t,e){var i={},r=this.backgroundImage,n=this.overlayImage;return this.backgroundColor&&(i.background=this.backgroundColor.toObject?this.backgroundColor.toObject(e):this.backgroundColor),this.overlayColor&&(i.overlay=this.overlayColor.toObject?this.overlayColor.toObject(e):this.overlayColor),r&&!r.excludeFromExport&&(i.backgroundImage=this._toObject(r,t,e)),n&&!n.excludeFromExport&&(i.overlayImage=this._toObject(n,t,e)),i},svgViewportTransformation:!0,toSVG:function(t,e){t||(t={}),t.reviver=e;var i=[];return this._setSVGPreamble(i,t),this._setSVGHeader(i,t),this.clipPath&&i.push('<g clip-path="url(#'+this.clipPath.clipPathId+')" >\n'),this._setSVGBgOverlayColor(i,"background"),this._setSVGBgOverlayImage(i,"backgroundImage",e),this._setSVGObjects(i,e),this.clipPath&&i.push("</g>\n"),this._setSVGBgOverlayColor(i,"overlay"),this._setSVGBgOverlayImage(i,"overlayImage",e),i.push("</svg>"),i.join("")},_setSVGPreamble:function(t,e){e.suppressPreamble||t.push('<?xml version="1.0" encoding="',e.encoding||"UTF-8",'" standalone="no" ?>\n','<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" ','"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">\n')},_setSVGHeader:function(t,e){var i,r=e.width||this.width,n=e.height||this.height,s='viewBox="0 0 '+this.width+" "+this.height+'" ',o=fabric.Object.NUM_FRACTION_DIGITS;e.viewBox?s='viewBox="'+e.viewBox.x+" "+e.viewBox.y+" "+e.viewBox.width+" "+e.viewBox.height+'" ':this.svgViewportTransformation&&(i=this.viewportTransform,s='viewBox="'+a(-i[4]/i[0],o)+" "+a(-i[5]/i[3],o)+" "+a(this.width/i[0],o)+" "+a(this.height/i[3],o)+'" '),t.push("<svg ",'xmlns="http://www.w3.org/2000/svg" ','xmlns:xlink="http://www.w3.org/1999/xlink" ','version="1.1" ','width="',r,'" ','height="',n,'" ',s,'xml:space="preserve">\n',"<desc>Created with Fabric.js ",fabric.version,"</desc>\n","<defs>\n",this.createSVGFontFacesMarkup(),this.createSVGRefElementsMarkup(),this.createSVGClipPathMarkup(e),"</defs>\n")},createSVGClipPathMarkup:function(t){var e=this.clipPath;return e?(e.clipPathId="CLIPPATH_"+fabric.Object.__uid++,'<clipPath id="'+e.clipPathId+'" >\n'+this.clipPath.toClipPathSVG(t.reviver)+"</clipPath>\n"):""},createSVGRefElementsMarkup:function(){var s=this;return["background","overlay"].map(function(t){var e=s[t+"Color"];if(e&&e.toLive){var i=s[t+"Vpt"],r=s.viewportTransform,n={width:s.width/(i?r[0]:1),height:s.height/(i?r[3]:1)};return e.toSVG(n,{additionalTransform:i?fabric.util.matrixToSVG(r):""})}}).join("")},createSVGFontFacesMarkup:function(){var t,e,i,r,n,s,o,a,h="",c={},l=fabric.fontPaths,u=[];for(this._objects.forEach(function t(e){u.push(e),e._objects&&e._objects.forEach(t)}),o=0,a=u.length;o<a;o++)if(e=(t=u[o]).fontFamily,-1!==t.type.indexOf("text")&&!c[e]&&l[e]&&(c[e]=!0,t.styles))for(n in i=t.styles)for(s in r=i[n])!c[e=r[s].fontFamily]&&l[e]&&(c[e]=!0);for(var f in c)h+=["\t\t@font-face {\n","\t\t\tfont-family: '",f,"';\n","\t\t\tsrc: url('",l[f],"');\n","\t\t}\n"].join("");return h&&(h=['\t<style type="text/css">',"<![CDATA[\n",h,"]]>","</style>\n"].join("")),h},_setSVGObjects:function(t,e){var i,r,n,s=this._objects;for(r=0,n=s.length;r<n;r++)(i=s[r]).excludeFromExport||this._setSVGObject(t,i,e)},_setSVGObject:function(t,e,i){t.push(e.toSVG(i))},_setSVGBgOverlayImage:function(t,e,i){this[e]&&!this[e].excludeFromExport&&this[e].toSVG&&t.push(this[e].toSVG(i))},_setSVGBgOverlayColor:function(t,e){var i=this[e+"Color"],r=this.viewportTransform,n=this.width,s=this.height;if(i)if(i.toLive){var o=i.repeat,a=fabric.util.invertTransform(r),h=this[e+"Vpt"]?fabric.util.matrixToSVG(a):"";t.push('<rect transform="'+h+" translate(",n/2,",",s/2,')"',' x="',i.offsetX-n/2,'" y="',i.offsetY-s/2,'" ','width="',"repeat-y"===o||"no-repeat"===o?i.source.width:n,'" height="',"repeat-x"===o||"no-repeat"===o?i.source.height:s,'" fill="url(#SVGID_'+i.id+')"',"></rect>\n")}else t.push('<rect x="0" y="0" width="100%" height="100%" ','fill="',i,'"',"></rect>\n")},sendToBack:function(t){if(!t)return this;var e,i,r,n=this._activeObject;if(t===n&&"activeSelection"===t.type)for(e=(r=n._objects).length;e--;)i=r[e],c(this._objects,i),this._objects.unshift(i);else c(this._objects,t),this._objects.unshift(t);return this.renderOnAddRemove&&this.requestRenderAll(),this},bringToFront:function(t){if(!t)return this;var e,i,r,n=this._activeObject;if(t===n&&"activeSelection"===t.type)for(r=n._objects,e=0;e<r.length;e++)i=r[e],c(this._objects,i),this._objects.push(i);else c(this._objects,t),this._objects.push(t);return this.renderOnAddRemove&&this.requestRenderAll(),this},sendBackwards:function(t,e){if(!t)return this;var i,r,n,s,o,a=this._activeObject,h=0;if(t===a&&"activeSelection"===t.type)for(o=a._objects,i=0;i<o.length;i++)r=o[i],0+h<(n=this._objects.indexOf(r))&&(s=n-1,c(this._objects,r),this._objects.splice(s,0,r)),h++;else 0!==(n=this._objects.indexOf(t))&&(s=this._findNewLowerIndex(t,n,e),c(this._objects,t),this._objects.splice(s,0,t));return this.renderOnAddRemove&&this.requestRenderAll(),this},_findNewLowerIndex:function(t,e,i){var r,n;if(i)for(n=(r=e)-1;0<=n;--n){if(t.intersectsWithObject(this._objects[n])||t.isContainedWithinObject(this._objects[n])||this._objects[n].isContainedWithinObject(t)){r=n;break}}else r=e-1;return r},bringForward:function(t,e){if(!t)return this;var i,r,n,s,o,a=this._activeObject,h=0;if(t===a&&"activeSelection"===t.type)for(i=(o=a._objects).length;i--;)r=o[i],(n=this._objects.indexOf(r))<this._objects.length-1-h&&(s=n+1,c(this._objects,r),this._objects.splice(s,0,r)),h++;else(n=this._objects.indexOf(t))!==this._objects.length-1&&(s=this._findNewUpperIndex(t,n,e),c(this._objects,t),this._objects.splice(s,0,t));return this.renderOnAddRemove&&this.requestRenderAll(),this},_findNewUpperIndex:function(t,e,i){var r,n,s;if(i)for(n=(r=e)+1,s=this._objects.length;n<s;++n){if(t.intersectsWithObject(this._objects[n])||t.isContainedWithinObject(this._objects[n])||this._objects[n].isContainedWithinObject(t)){r=n;break}}else r=e+1;return r},moveTo:function(t,e){return c(this._objects,t),this._objects.splice(e,0,t),this.renderOnAddRemove&&this.requestRenderAll()},dispose:function(){return this.isRendering&&(fabric.util.cancelAnimFrame(this.isRendering),this.isRendering=0),this.forEachObject(function(t){t.dispose&&t.dispose()}),this._objects=[],this.backgroundImage&&this.backgroundImage.dispose&&this.backgroundImage.dispose(),this.backgroundImage=null,this.overlayImage&&this.overlayImage.dispose&&this.overlayImage.dispose(),this.overlayImage=null,this._iTextInstances=null,this.contextContainer=null,fabric.util.cleanUpJsdomNode(this.lowerCanvasEl),this.lowerCanvasEl=void 0,this},toString:function(){return"#<fabric.Canvas ("+this.complexity()+"): { objects: "+this._objects.length+" }>"}}),n(fabric.StaticCanvas.prototype,fabric.Observable),n(fabric.StaticCanvas.prototype,fabric.Collection),n(fabric.StaticCanvas.prototype,fabric.DataURLExporter),n(fabric.StaticCanvas,{EMPTY_JSON:'{"objects": [], "background": "white"}',supports:function(t){var e=r();if(!e||!e.getContext)return null;var i=e.getContext("2d");if(!i)return null;switch(t){case"setLineDash":return void 0!==i.setLineDash;default:return null}}}),fabric.StaticCanvas.prototype.toJSON=fabric.StaticCanvas.prototype.toObject,fabric.isLikelyNode&&(fabric.StaticCanvas.prototype.createPNGStream=function(){var t=i(this.lowerCanvasEl);return t&&t.createPNGStream()},fabric.StaticCanvas.prototype.createJPEGStream=function(t){var e=i(this.lowerCanvasEl);return e&&e.createJPEGStream(t)})}}(),fabric.BaseBrush=fabric.util.createClass({color:"rgb(0, 0, 0)",width:1,shadow:null,strokeLineCap:"round",strokeLineJoin:"round",strokeMiterLimit:10,strokeDashArray:null,_setBrushStyles:function(){var t=this.canvas.contextTop;t.strokeStyle=this.color,t.lineWidth=this.width,t.lineCap=this.strokeLineCap,t.miterLimit=this.strokeMiterLimit,t.lineJoin=this.strokeLineJoin,fabric.StaticCanvas.supports("setLineDash")&&t.setLineDash(this.strokeDashArray||[])},_saveAndTransform:function(t){var e=this.canvas.viewportTransform;t.save(),t.transform(e[0],e[1],e[2],e[3],e[4],e[5])},_setShadow:function(){if(this.shadow){var t=this.canvas,e=this.shadow,i=t.contextTop,r=t.getZoom();t&&t._isRetinaScaling()&&(r*=fabric.devicePixelRatio),i.shadowColor=e.color,i.shadowBlur=e.blur*r,i.shadowOffsetX=e.offsetX*r,i.shadowOffsetY=e.offsetY*r}},needsFullRender:function(){return new fabric.Color(this.color).getAlpha()<1||!!this.shadow},_resetShadow:function(){var t=this.canvas.contextTop;t.shadowColor="",t.shadowBlur=t.shadowOffsetX=t.shadowOffsetY=0}}),fabric.PencilBrush=fabric.util.createClass(fabric.BaseBrush,{decimate:.4,initialize:function(t){this.canvas=t,this._points=[]},_drawSegment:function(t,e,i){var r=e.midPointFrom(i);return t.quadraticCurveTo(e.x,e.y,r.x,r.y),r},onMouseDown:function(t,e){this.canvas._isMainEvent(e.e)&&(this._prepareForDrawing(t),this._captureDrawingPath(t),this._render())},onMouseMove:function(t,e){if(this.canvas._isMainEvent(e.e)&&this._captureDrawingPath(t)&&1<this._points.length)if(this.needsFullRender())this.canvas.clearContext(this.canvas.contextTop),this._render();else{var i=this._points,r=i.length,n=this.canvas.contextTop;this._saveAndTransform(n),this.oldEnd&&(n.beginPath(),n.moveTo(this.oldEnd.x,this.oldEnd.y)),this.oldEnd=this._drawSegment(n,i[r-2],i[r-1],!0),n.stroke(),n.restore()}},onMouseUp:function(t){return!this.canvas._isMainEvent(t.e)||(this.oldEnd=void 0,this._finalizeAndAddPath(),!1)},_prepareForDrawing:function(t){var e=new fabric.Point(t.x,t.y);this._reset(),this._addPoint(e),this.canvas.contextTop.moveTo(e.x,e.y)},_addPoint:function(t){return!(1<this._points.length&&t.eq(this._points[this._points.length-1])||(this._points.push(t),0))},_reset:function(){this._points=[],this._setBrushStyles(),this._setShadow()},_captureDrawingPath:function(t){var e=new fabric.Point(t.x,t.y);return this._addPoint(e)},_render:function(){var t,e,i=this.canvas.contextTop,r=this._points[0],n=this._points[1];if(this._saveAndTransform(i),i.beginPath(),2===this._points.length&&r.x===n.x&&r.y===n.y){var s=this.width/1e3;r=new fabric.Point(r.x,r.y),n=new fabric.Point(n.x,n.y),r.x-=s,n.x+=s}for(i.moveTo(r.x,r.y),t=1,e=this._points.length;t<e;t++)this._drawSegment(i,r,n),r=this._points[t],n=this._points[t+1];i.lineTo(r.x,r.y),i.stroke(),i.restore()},convertPointsToSVGPath:function(t){var e,i=[],r=this.width/1e3,n=new fabric.Point(t[0].x,t[0].y),s=new fabric.Point(t[1].x,t[1].y),o=t.length,a=1,h=0,c=2<o;for(c&&(a=t[2].x<s.x?-1:t[2].x===s.x?0:1,h=t[2].y<s.y?-1:t[2].y===s.y?0:1),i.push("M ",n.x-a*r," ",n.y-h*r," "),e=1;e<o;e++){if(!n.eq(s)){var l=n.midPointFrom(s);i.push("Q ",n.x," ",n.y," ",l.x," ",l.y," ")}n=t[e],e+1<t.length&&(s=t[e+1])}return c&&(a=n.x>t[e-2].x?1:n.x===t[e-2].x?0:-1,h=n.y>t[e-2].y?1:n.y===t[e-2].y?0:-1),i.push("L ",n.x+a*r," ",n.y+h*r),i},createPath:function(t){var e=new fabric.Path(t,{fill:null,stroke:this.color,strokeWidth:this.width,strokeLineCap:this.strokeLineCap,strokeMiterLimit:this.strokeMiterLimit,strokeLineJoin:this.strokeLineJoin,strokeDashArray:this.strokeDashArray});return this.shadow&&(this.shadow.affectStroke=!0,e.shadow=new fabric.Shadow(this.shadow)),e},decimatePoints:function(t,e){if(t.length<=2)return t;var i,r=this.canvas.getZoom(),n=Math.pow(e/r,2),s=t.length-1,o=t[0],a=[o];for(i=1;i<s;i++)n<=Math.pow(o.x-t[i].x,2)+Math.pow(o.y-t[i].y,2)&&(o=t[i],a.push(o));return 1===a.length&&a.push(new fabric.Point(a[0].x,a[0].y)),a},_finalizeAndAddPath:function(){this.canvas.contextTop.closePath(),this.decimate&&(this._points=this.decimatePoints(this._points,this.decimate));var t=this.convertPointsToSVGPath(this._points).join("");if("M 0 0 Q 0 0 0 0 L 0 0"!==t){var e=this.createPath(t);this.canvas.clearContext(this.canvas.contextTop),this.canvas.fire("before:path:created",{path:e}),this.canvas.add(e),this.canvas.requestRenderAll(),e.setCoords(),this._resetShadow(),this.canvas.fire("path:created",{path:e})}else this.canvas.requestRenderAll()}}),fabric.CircleBrush=fabric.util.createClass(fabric.BaseBrush,{width:10,initialize:function(t){this.canvas=t,this.points=[]},drawDot:function(t){var e=this.addPoint(t),i=this.canvas.contextTop;this._saveAndTransform(i),this.dot(i,e),i.restore()},dot:function(t,e){t.fillStyle=e.fill,t.beginPath(),t.arc(e.x,e.y,e.radius,0,2*Math.PI,!1),t.closePath(),t.fill()},onMouseDown:function(t){this.points.length=0,this.canvas.clearContext(this.canvas.contextTop),this._setShadow(),this.drawDot(t)},_render:function(){var t,e,i=this.canvas.contextTop,r=this.points;for(this._saveAndTransform(i),t=0,e=r.length;t<e;t++)this.dot(i,r[t]);i.restore()},onMouseMove:function(t){this.needsFullRender()?(this.canvas.clearContext(this.canvas.contextTop),this.addPoint(t),this._render()):this.drawDot(t)},onMouseUp:function(){var t,e,i=this.canvas.renderOnAddRemove;this.canvas.renderOnAddRemove=!1;var r=[];for(t=0,e=this.points.length;t<e;t++){var n=this.points[t],s=new fabric.Circle({radius:n.radius,left:n.x,top:n.y,originX:"center",originY:"center",fill:n.fill});this.shadow&&(s.shadow=new fabric.Shadow(this.shadow)),r.push(s)}var o=new fabric.Group(r);o.canvas=this.canvas,this.canvas.fire("before:path:created",{path:o}),this.canvas.add(o),this.canvas.fire("path:created",{path:o}),this.canvas.clearContext(this.canvas.contextTop),this._resetShadow(),this.canvas.renderOnAddRemove=i,this.canvas.requestRenderAll()},addPoint:function(t){var e=new fabric.Point(t.x,t.y),i=fabric.util.getRandomInt(Math.max(0,this.width-20),this.width+20)/2,r=new fabric.Color(this.color).setAlpha(fabric.util.getRandomInt(0,100)/100).toRgba();return e.radius=i,e.fill=r,this.points.push(e),e}}),fabric.SprayBrush=fabric.util.createClass(fabric.BaseBrush,{width:10,density:20,dotWidth:1,dotWidthVariance:1,randomOpacity:!1,optimizeOverlapping:!0,initialize:function(t){this.canvas=t,this.sprayChunks=[]},onMouseDown:function(t){this.sprayChunks.length=0,this.canvas.clearContext(this.canvas.contextTop),this._setShadow(),this.addSprayChunk(t),this.render(this.sprayChunkPoints)},onMouseMove:function(t){this.addSprayChunk(t),this.render(this.sprayChunkPoints)},onMouseUp:function(){var t=this.canvas.renderOnAddRemove;this.canvas.renderOnAddRemove=!1;for(var e=[],i=0,r=this.sprayChunks.length;i<r;i++)for(var n=this.sprayChunks[i],s=0,o=n.length;s<o;s++){var a=new fabric.Rect({width:n[s].width,height:n[s].width,left:n[s].x+1,top:n[s].y+1,originX:"center",originY:"center",fill:this.color});e.push(a)}this.optimizeOverlapping&&(e=this._getOptimizedRects(e));var h=new fabric.Group(e);this.shadow&&h.set("shadow",new fabric.Shadow(this.shadow)),this.canvas.fire("before:path:created",{path:h}),this.canvas.add(h),this.canvas.fire("path:created",{path:h}),this.canvas.clearContext(this.canvas.contextTop),this._resetShadow(),this.canvas.renderOnAddRemove=t,this.canvas.requestRenderAll()},_getOptimizedRects:function(t){var e,i,r,n={};for(i=0,r=t.length;i<r;i++)n[e=t[i].left+""+t[i].top]||(n[e]=t[i]);var s=[];for(e in n)s.push(n[e]);return s},render:function(t){var e,i,r=this.canvas.contextTop;for(r.fillStyle=this.color,this._saveAndTransform(r),e=0,i=t.length;e<i;e++){var n=t[e];void 0!==n.opacity&&(r.globalAlpha=n.opacity),r.fillRect(n.x,n.y,n.width,n.width)}r.restore()},_render:function(){var t,e,i=this.canvas.contextTop;for(i.fillStyle=this.color,this._saveAndTransform(i),t=0,e=this.sprayChunks.length;t<e;t++)this.render(this.sprayChunks[t]);i.restore()},addSprayChunk:function(t){this.sprayChunkPoints=[];var e,i,r,n,s=this.width/2;for(n=0;n<this.density;n++){e=fabric.util.getRandomInt(t.x-s,t.x+s),i=fabric.util.getRandomInt(t.y-s,t.y+s),r=this.dotWidthVariance?fabric.util.getRandomInt(Math.max(1,this.dotWidth-this.dotWidthVariance),this.dotWidth+this.dotWidthVariance):this.dotWidth;var o=new fabric.Point(e,i);o.width=r,this.randomOpacity&&(o.opacity=fabric.util.getRandomInt(0,100)/100),this.sprayChunkPoints.push(o)}this.sprayChunks.push(this.sprayChunkPoints)}}),fabric.PatternBrush=fabric.util.createClass(fabric.PencilBrush,{getPatternSrc:function(){var t=fabric.util.createCanvasElement(),e=t.getContext("2d");return t.width=t.height=25,e.fillStyle=this.color,e.beginPath(),e.arc(10,10,10,0,2*Math.PI,!1),e.closePath(),e.fill(),t},getPatternSrcFunction:function(){return String(this.getPatternSrc).replace("this.color",'"'+this.color+'"')},getPattern:function(){return this.canvas.contextTop.createPattern(this.source||this.getPatternSrc(),"repeat")},_setBrushStyles:function(){this.callSuper("_setBrushStyles"),this.canvas.contextTop.strokeStyle=this.getPattern()},createPath:function(t){var e=this.callSuper("createPath",t),i=e._getLeftTopCoords().scalarAdd(e.strokeWidth/2);return e.stroke=new fabric.Pattern({source:this.source||this.getPatternSrcFunction(),offsetX:-i.x,offsetY:-i.y}),e}}),function(){var c=fabric.util.getPointer,u=fabric.util.degreesToRadians,h=Math.abs,l=fabric.StaticCanvas.supports("setLineDash"),f=fabric.util.isTouchEvent;for(var t in fabric.Canvas=fabric.util.createClass(fabric.StaticCanvas,{initialize:function(t,e){e||(e={}),this.renderAndResetBound=this.renderAndReset.bind(this),this.requestRenderAllBound=this.requestRenderAll.bind(this),this._initStatic(t,e),this._initInteractive(),this._createCacheCanvas()},uniformScaling:!0,uniScaleKey:"shiftKey",centeredScaling:!1,centeredRotation:!1,centeredKey:"altKey",altActionKey:"shiftKey",interactive:!0,selection:!0,selectionKey:"shiftKey",altSelectionKey:null,selectionColor:"rgba(100, 100, 255, 0.3)",selectionDashArray:[],selectionBorderColor:"rgba(255, 255, 255, 0.3)",selectionLineWidth:1,selectionFullyContained:!1,hoverCursor:"move",moveCursor:"move",defaultCursor:"default",freeDrawingCursor:"crosshair",rotationCursor:"crosshair",notAllowedCursor:"not-allowed",containerClass:"canvas-container",perPixelTargetFind:!1,targetFindTolerance:0,skipTargetFind:!1,isDrawingMode:!1,preserveObjectStacking:!1,snapAngle:0,snapThreshold:null,stopContextMenu:!1,fireRightClick:!1,fireMiddleClick:!1,targets:[],_hoveredTarget:null,_hoveredTargets:[],_initInteractive:function(){this._currentTransform=null,this._groupSelector=null,this._initWrapperElement(),this._createUpperCanvas(),this._initEventListeners(),this._initRetinaScaling(),this.freeDrawingBrush=fabric.PencilBrush&&new fabric.PencilBrush(this),this.calcOffset()},_chooseObjectsToRender:function(){var t,e,i,r=this.getActiveObjects();if(0<r.length&&!this.preserveObjectStacking){e=[],i=[];for(var n=0,s=this._objects.length;n<s;n++)t=this._objects[n],-1===r.indexOf(t)?e.push(t):i.push(t);1<r.length&&(this._activeObject._objects=i),e.push.apply(e,i)}else e=this._objects;return e},renderAll:function(){!this.contextTopDirty||this._groupSelector||this.isDrawingMode||(this.clearContext(this.contextTop),this.contextTopDirty=!1),this.hasLostContext&&this.renderTopLayer(this.contextTop);var t=this.contextContainer;return this.renderCanvas(t,this._chooseObjectsToRender()),this},renderTopLayer:function(t){t.save(),this.isDrawingMode&&this._isCurrentlyDrawing&&(this.freeDrawingBrush&&this.freeDrawingBrush._render(),this.contextTopDirty=!0),this.selection&&this._groupSelector&&(this._drawSelection(t),this.contextTopDirty=!0),t.restore()},renderTop:function(){var t=this.contextTop;return this.clearContext(t),this.renderTopLayer(t),this.fire("after:render"),this},_normalizePointer:function(t,e){var i=t.calcTransformMatrix(),r=fabric.util.invertTransform(i),n=this.restorePointerVpt(e);return fabric.util.transformPoint(n,r)},isTargetTransparent:function(t,e,i){if(t.shouldCache()&&t._cacheCanvas&&t!==this._activeObject){var r=this._normalizePointer(t,{x:e,y:i}),n=Math.max(t.cacheTranslationX+r.x*t.zoomX,0),s=Math.max(t.cacheTranslationY+r.y*t.zoomY,0);return fabric.util.isTransparent(t._cacheContext,Math.round(n),Math.round(s),this.targetFindTolerance)}var o=this.contextCache,a=t.selectionBackgroundColor,h=this.viewportTransform;return t.selectionBackgroundColor="",this.clearContext(o),o.save(),o.transform(h[0],h[1],h[2],h[3],h[4],h[5]),t.render(o),o.restore(),t===this._activeObject&&t._renderControls(o,{hasBorders:!1,transparentCorners:!1},{hasBorders:!1}),t.selectionBackgroundColor=a,fabric.util.isTransparent(o,e,i,this.targetFindTolerance)},_isSelectionKeyPressed:function(e){return"[object Array]"===Object.prototype.toString.call(this.selectionKey)?!!this.selectionKey.find(function(t){return!0===e[t]}):e[this.selectionKey]},_shouldClearSelection:function(t,e){var i=this.getActiveObjects(),r=this._activeObject;return!e||e&&r&&1<i.length&&-1===i.indexOf(e)&&r!==e&&!this._isSelectionKeyPressed(t)||e&&!e.evented||e&&!e.selectable&&r&&r!==e},_shouldCenterTransform:function(t,e,i){var r;if(t)return"scale"===e||"scaleX"===e||"scaleY"===e||"resizing"===e?r=this.centeredScaling||t.centeredScaling:"rotate"===e&&(r=this.centeredRotation||t.centeredRotation),r?!i:i},_getOriginFromCorner:function(t,e){var i={x:t.originX,y:t.originY};return"ml"===e||"tl"===e||"bl"===e?i.x="right":"mr"!==e&&"tr"!==e&&"br"!==e||(i.x="left"),"tl"===e||"mt"===e||"tr"===e?i.y="bottom":"bl"!==e&&"mb"!==e&&"br"!==e||(i.y="top"),i},_getActionFromCorner:function(t,e,i,r){if(!e||!t)return"drag";var n=r.controls[e];return n.getActionName(i,n,r)},_setupCurrentTransform:function(t,e,i){if(e){var r=this.getPointer(t),n=e.__corner,s=e.controls[n],o=i&&n?s.getActionHandler(t,e,s):fabric.controlsUtils.dragHandler,a=this._getActionFromCorner(i,n,t,e),h=this._getOriginFromCorner(e,n),c=t[this.centeredKey],l={target:e,action:a,actionHandler:o,corner:n,scaleX:e.scaleX,scaleY:e.scaleY,skewX:e.skewX,skewY:e.skewY,offsetX:r.x-e.left,offsetY:r.y-e.top,originX:h.x,originY:h.y,ex:r.x,ey:r.y,lastX:r.x,lastY:r.y,theta:u(e.angle),width:e.width*e.scaleX,shiftKey:t.shiftKey,altKey:c,original:fabric.util.saveObjectTransform(e)};this._shouldCenterTransform(e,a,c)&&(l.originX="center",l.originY="center"),l.original.originX=h.x,l.original.originY=h.y,this._currentTransform=l,this._beforeTransform(t)}},setCursor:function(t){this.upperCanvasEl.style.cursor=t},_drawSelection:function(t){var e=this._groupSelector,i=e.left,r=e.top,n=h(i),s=h(r);if(this.selectionColor&&(t.fillStyle=this.selectionColor,t.fillRect(e.ex-(0<i?0:-i),e.ey-(0<r?0:-r),n,s)),this.selectionLineWidth&&this.selectionBorderColor)if(t.lineWidth=this.selectionLineWidth,t.strokeStyle=this.selectionBorderColor,1<this.selectionDashArray.length&&!l){var o=e.ex+.5-(0<i?0:n),a=e.ey+.5-(0<r?0:s);t.beginPath(),fabric.util.drawDashedLine(t,o,a,o+n,a,this.selectionDashArray),fabric.util.drawDashedLine(t,o,a+s-1,o+n,a+s-1,this.selectionDashArray),fabric.util.drawDashedLine(t,o,a,o,a+s,this.selectionDashArray),fabric.util.drawDashedLine(t,o+n-1,a,o+n-1,a+s,this.selectionDashArray),t.closePath(),t.stroke()}else fabric.Object.prototype._setLineDash.call(this,t,this.selectionDashArray),t.strokeRect(e.ex+.5-(0<i?0:n),e.ey+.5-(0<r?0:s),n,s)},findTarget:function(t,e){if(!this.skipTargetFind){var i,r,n=this.getPointer(t,!0),s=this._activeObject,o=this.getActiveObjects(),a=f(t);if(this.targets=[],1<o.length&&!e&&s===this._searchPossibleTargets([s],n))return s;if(1===o.length&&s._findTargetCorner(n,a))return s;if(1===o.length&&s===this._searchPossibleTargets([s],n)){if(!this.preserveObjectStacking)return s;i=s,r=this.targets,this.targets=[]}var h=this._searchPossibleTargets(this._objects,n);return t[this.altSelectionKey]&&h&&i&&h!==i&&(h=i,this.targets=r),h}},_checkTarget:function(t,e,i){if(e&&e.visible&&e.evented&&(e.containsPoint(t)||e._findTargetCorner(t))){if(!this.perPixelTargetFind&&!e.perPixelTargetFind||e.isEditing)return!0;if(!this.isTargetTransparent(e,i.x,i.y))return!0}},_searchPossibleTargets:function(t,e){for(var i,r,n=t.length;n--;){var s=t[n],o=s.group?this._normalizePointer(s.group,e):e;if(this._checkTarget(o,s,e)){(i=t[n]).subTargetCheck&&i instanceof fabric.Group&&(r=this._searchPossibleTargets(i._objects,e))&&this.targets.push(r);break}}return i},restorePointerVpt:function(t){return fabric.util.transformPoint(t,fabric.util.invertTransform(this.viewportTransform))},getPointer:function(t,e){if(this._absolutePointer&&!e)return this._absolutePointer;if(this._pointer&&e)return this._pointer;var i,r=c(t),n=this.upperCanvasEl,s=n.getBoundingClientRect(),o=s.width||0,a=s.height||0;o&&a||("top"in s&&"bottom"in s&&(a=Math.abs(s.top-s.bottom)),"right"in s&&"left"in s&&(o=Math.abs(s.right-s.left))),this.calcOffset(),r.x=r.x-this._offset.left,r.y=r.y-this._offset.top,e||(r=this.restorePointerVpt(r));var h=this.getRetinaScaling();return 1!==h&&(r.x/=h,r.y/=h),i=0===o||0===a?{width:1,height:1}:{width:n.width/o,height:n.height/a},{x:r.x*i.width,y:r.y*i.height}},_createUpperCanvas:function(){var t=this.lowerCanvasEl.className.replace(/\s*lower-canvas\s*/,""),e=this.lowerCanvasEl,i=this.upperCanvasEl;i?i.className="":(i=this._createCanvasElement(),this.upperCanvasEl=i),fabric.util.addClass(i,"upper-canvas "+t),this.wrapperEl.appendChild(i),this._copyCanvasStyle(e,i),this._applyCanvasStyle(i),this.contextTop=i.getContext("2d")},_createCacheCanvas:function(){this.cacheCanvasEl=this._createCanvasElement(),this.cacheCanvasEl.setAttribute("width",this.width),this.cacheCanvasEl.setAttribute("height",this.height),this.contextCache=this.cacheCanvasEl.getContext("2d")},_initWrapperElement:function(){this.wrapperEl=fabric.util.wrapElement(this.lowerCanvasEl,"div",{class:this.containerClass}),fabric.util.setStyle(this.wrapperEl,{width:this.width+"px",height:this.height+"px",position:"relative"}),fabric.util.makeElementUnselectable(this.wrapperEl)},_applyCanvasStyle:function(t){var e=this.width||t.width,i=this.height||t.height;fabric.util.setStyle(t,{position:"absolute",width:e+"px",height:i+"px",left:0,top:0,"touch-action":this.allowTouchScrolling?"manipulation":"none","-ms-touch-action":this.allowTouchScrolling?"manipulation":"none"}),t.width=e,t.height=i,fabric.util.makeElementUnselectable(t)},_copyCanvasStyle:function(t,e){e.style.cssText=t.style.cssText},getSelectionContext:function(){return this.contextTop},getSelectionElement:function(){return this.upperCanvasEl},getActiveObject:function(){return this._activeObject},getActiveObjects:function(){var t=this._activeObject;return t?"activeSelection"===t.type&&t._objects?t._objects.slice(0):[t]:[]},_onObjectRemoved:function(t){t===this._activeObject&&(this.fire("before:selection:cleared",{target:t}),this._discardActiveObject(),this.fire("selection:cleared",{target:t}),t.fire("deselected")),t===this._hoveredTarget&&(this._hoveredTarget=null,this._hoveredTargets=[]),this.callSuper("_onObjectRemoved",t)},_fireSelectionEvents:function(e,t){var i=!1,r=this.getActiveObjects(),n=[],s=[],o={e:t};e.forEach(function(t){-1===r.indexOf(t)&&(i=!0,t.fire("deselected",o),s.push(t))}),r.forEach(function(t){-1===e.indexOf(t)&&(i=!0,t.fire("selected",o),n.push(t))}),0<e.length&&0<r.length?(o.selected=n,o.deselected=s,o.updated=n[0]||s[0],o.target=this._activeObject,i&&this.fire("selection:updated",o)):0<r.length?(o.selected=n,o.target=this._activeObject,this.fire("selection:created",o)):0<e.length&&(o.deselected=s,this.fire("selection:cleared",o))},setActiveObject:function(t,e){var i=this.getActiveObjects();return this._setActiveObject(t,e),this._fireSelectionEvents(i,e),this},_setActiveObject:function(t,e){return this._activeObject!==t&&(!!this._discardActiveObject(e,t)&&(!t.onSelect({e:e})&&(this._activeObject=t,!0)))},_discardActiveObject:function(t,e){var i=this._activeObject;if(i){if(i.onDeselect({e:t,object:e}))return!1;this._activeObject=null}return!0},discardActiveObject:function(t){var e=this.getActiveObjects(),i=this.getActiveObject();return e.length&&this.fire("before:selection:cleared",{target:i,e:t}),this._discardActiveObject(t),this._fireSelectionEvents(e,t),this},dispose:function(){var t=this.wrapperEl;return this.removeListeners(),t.removeChild(this.upperCanvasEl),t.removeChild(this.lowerCanvasEl),this.contextCache=null,this.contextTop=null,["upperCanvasEl","cacheCanvasEl"].forEach(function(t){fabric.util.cleanUpJsdomNode(this[t]),this[t]=void 0}.bind(this)),t.parentNode&&t.parentNode.replaceChild(this.lowerCanvasEl,this.wrapperEl),delete this.wrapperEl,fabric.StaticCanvas.prototype.dispose.call(this),this},clear:function(){return this.discardActiveObject(),this.clearContext(this.contextTop),this.callSuper("clear")},drawControls:function(t){var e=this._activeObject;e&&e._renderControls(t)},_toObject:function(t,e,i){var r=this._realizeGroupTransformOnObject(t),n=this.callSuper("_toObject",t,e,i);return this._unwindGroupTransformOnObject(t,r),n},_realizeGroupTransformOnObject:function(e){if(e.group&&"activeSelection"===e.group.type&&this._activeObject===e.group){var i={};return["angle","flipX","flipY","left","scaleX","scaleY","skewX","skewY","top"].forEach(function(t){i[t]=e[t]}),this._activeObject.realizeTransform(e),i}return null},_unwindGroupTransformOnObject:function(t,e){e&&t.set(e)},_setSVGObject:function(t,e,i){var r=this._realizeGroupTransformOnObject(e);this.callSuper("_setSVGObject",t,e,i),this._unwindGroupTransformOnObject(e,r)},setViewportTransform:function(t){this.renderOnAddRemove&&this._activeObject&&this._activeObject.isEditing&&this._activeObject.clearContextTop(),fabric.StaticCanvas.prototype.setViewportTransform.call(this,t)}}),fabric.StaticCanvas)"prototype"!==t&&(fabric.Canvas[t]=fabric.StaticCanvas[t])}(),function(){var r=fabric.util.addListener,n=fabric.util.removeListener,s={passive:!1};function u(t,e){return t.button&&t.button===e-1}fabric.util.object.extend(fabric.Canvas.prototype,{mainTouchId:null,_initEventListeners:function(){this.removeListeners(),this._bindEvents(),this.addOrRemove(r,"add")},_getEventPrefix:function(){return this.enablePointerEvents?"pointer":"mouse"},addOrRemove:function(t,e){var i=this.upperCanvasEl,r=this._getEventPrefix();t(fabric.window,"resize",this._onResize),t(i,r+"down",this._onMouseDown),t(i,r+"move",this._onMouseMove,s),t(i,r+"out",this._onMouseOut),t(i,r+"enter",this._onMouseEnter),t(i,"wheel",this._onMouseWheel),t(i,"contextmenu",this._onContextMenu),t(i,"dblclick",this._onDoubleClick),t(i,"dragover",this._onDragOver),t(i,"dragenter",this._onDragEnter),t(i,"dragleave",this._onDragLeave),t(i,"drop",this._onDrop),this.enablePointerEvents||t(i,"touchstart",this._onTouchStart,s),"undefined"!=typeof eventjs&&e in eventjs&&(eventjs[e](i,"gesture",this._onGesture),eventjs[e](i,"drag",this._onDrag),eventjs[e](i,"orientation",this._onOrientationChange),eventjs[e](i,"shake",this._onShake),eventjs[e](i,"longpress",this._onLongPress))},removeListeners:function(){this.addOrRemove(n,"remove");var t=this._getEventPrefix();n(fabric.document,t+"up",this._onMouseUp),n(fabric.document,"touchend",this._onTouchEnd,s),n(fabric.document,t+"move",this._onMouseMove,s),n(fabric.document,"touchmove",this._onMouseMove,s)},_bindEvents:function(){this.eventsBound||(this._onMouseDown=this._onMouseDown.bind(this),this._onTouchStart=this._onTouchStart.bind(this),this._onMouseMove=this._onMouseMove.bind(this),this._onMouseUp=this._onMouseUp.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onResize=this._onResize.bind(this),this._onGesture=this._onGesture.bind(this),this._onDrag=this._onDrag.bind(this),this._onShake=this._onShake.bind(this),this._onLongPress=this._onLongPress.bind(this),this._onOrientationChange=this._onOrientationChange.bind(this),this._onMouseWheel=this._onMouseWheel.bind(this),this._onMouseOut=this._onMouseOut.bind(this),this._onMouseEnter=this._onMouseEnter.bind(this),this._onContextMenu=this._onContextMenu.bind(this),this._onDoubleClick=this._onDoubleClick.bind(this),this._onDragOver=this._onDragOver.bind(this),this._onDragEnter=this._simpleEventHandler.bind(this,"dragenter"),this._onDragLeave=this._simpleEventHandler.bind(this,"dragleave"),this._onDrop=this._simpleEventHandler.bind(this,"drop"),this.eventsBound=!0)},_onGesture:function(t,e){this.__onTransformGesture&&this.__onTransformGesture(t,e)},_onDrag:function(t,e){this.__onDrag&&this.__onDrag(t,e)},_onMouseWheel:function(t){this.__onMouseWheel(t)},_onMouseOut:function(e){var i=this._hoveredTarget;this.fire("mouse:out",{target:i,e:e}),this._hoveredTarget=null,i&&i.fire("mouseout",{e:e});var r=this;this._hoveredTargets.forEach(function(t){r.fire("mouse:out",{target:i,e:e}),t&&i.fire("mouseout",{e:e})}),this._hoveredTargets=[],this._iTextInstances&&this._iTextInstances.forEach(function(t){t.isEditing&&t.hiddenTextarea.focus()})},_onMouseEnter:function(t){this._currentTransform||this.findTarget(t)||(this.fire("mouse:over",{target:null,e:t}),this._hoveredTarget=null,this._hoveredTargets=[])},_onOrientationChange:function(t,e){this.__onOrientationChange&&this.__onOrientationChange(t,e)},_onShake:function(t,e){this.__onShake&&this.__onShake(t,e)},_onLongPress:function(t,e){this.__onLongPress&&this.__onLongPress(t,e)},_onDragOver:function(t){t.preventDefault();var e=this._simpleEventHandler("dragover",t);this._fireEnterLeaveEvents(e,t)},_onContextMenu:function(t){return this.stopContextMenu&&(t.stopPropagation(),t.preventDefault()),!1},_onDoubleClick:function(t){this._cacheTransformEventData(t),this._handleEvent(t,"dblclick"),this._resetTransformEventData(t)},getPointerId:function(t){var e=t.changedTouches;return e?e[0]&&e[0].identifier:this.enablePointerEvents?t.pointerId:-1},_isMainEvent:function(t){return!0===t.isPrimary||!1!==t.isPrimary&&("touchend"===t.type&&0===t.touches.length||(!t.changedTouches||t.changedTouches[0].identifier===this.mainTouchId))},_onTouchStart:function(t){t.preventDefault(),null===this.mainTouchId&&(this.mainTouchId=this.getPointerId(t)),this.__onMouseDown(t),this._resetTransformEventData();var e=this.upperCanvasEl,i=this._getEventPrefix();r(fabric.document,"touchend",this._onTouchEnd,s),r(fabric.document,"touchmove",this._onMouseMove,s),n(e,i+"down",this._onMouseDown)},_onMouseDown:function(t){this.__onMouseDown(t),this._resetTransformEventData();var e=this.upperCanvasEl,i=this._getEventPrefix();n(e,i+"move",this._onMouseMove,s),r(fabric.document,i+"up",this._onMouseUp),r(fabric.document,i+"move",this._onMouseMove,s)},_onTouchEnd:function(t){if(!(0<t.touches.length)){this.__onMouseUp(t),this._resetTransformEventData(),this.mainTouchId=null;var e=this._getEventPrefix();n(fabric.document,"touchend",this._onTouchEnd,s),n(fabric.document,"touchmove",this._onMouseMove,s);var i=this;this._willAddMouseDown&&clearTimeout(this._willAddMouseDown),this._willAddMouseDown=setTimeout(function(){r(i.upperCanvasEl,e+"down",i._onMouseDown),i._willAddMouseDown=0},400)}},_onMouseUp:function(t){this.__onMouseUp(t),this._resetTransformEventData();var e=this.upperCanvasEl,i=this._getEventPrefix();this._isMainEvent(t)&&(n(fabric.document,i+"up",this._onMouseUp),n(fabric.document,i+"move",this._onMouseMove,s),r(e,i+"move",this._onMouseMove,s))},_onMouseMove:function(t){!this.allowTouchScrolling&&t.preventDefault&&t.preventDefault(),this.__onMouseMove(t)},_onResize:function(){this.calcOffset()},_shouldRender:function(t){var e=this._activeObject;return!!(!!e!=!!t||e&&t&&e!==t)||(e&&e.isEditing,!1)},__onMouseUp:function(t){var e,i=this._currentTransform,r=this._groupSelector,n=!1,s=!r||0===r.left&&0===r.top;if(this._cacheTransformEventData(t),e=this._target,this._handleEvent(t,"up:before"),u(t,3))this.fireRightClick&&this._handleEvent(t,"up",3,s);else{if(u(t,2))return this.fireMiddleClick&&this._handleEvent(t,"up",2,s),void this._resetTransformEventData();if(this.isDrawingMode&&this._isCurrentlyDrawing)this._onMouseUpInDrawingMode(t);else if(this._isMainEvent(t)){if(i&&(this._finalizeCurrentTransform(t),n=i.actionPerformed),!s){var o=e===this._activeObject;this._maybeGroupObjects(t),n||(n=this._shouldRender(e)||!o&&e===this._activeObject)}if(e){var a=e._findTargetCorner(this.getPointer(t,!0),fabric.util.isTouchEvent(t)),h=e.controls[a],c=h&&h.getMouseUpHandler(t,e,h);if(c){var l=this.getPointer(t);c(t,i,l.x,l.y)}e.isMoving=!1}this._setCursorFromEvent(t,e),this._handleEvent(t,"up",1,s),this._groupSelector=null,this._currentTransform=null,e&&(e.__corner=0),n?this.requestRenderAll():s||this.renderTop()}}},_simpleEventHandler:function(t,e){var i=this.findTarget(e),r=this.targets,n={e:e,target:i,subTargets:r};if(this.fire(t,n),i&&i.fire(t,n),!r)return i;for(var s=0;s<r.length;s++)r[s].fire(t,n);return i},_handleEvent:function(t,e,i,r){var n=this._target,s=this.targets||[],o={e:t,target:n,subTargets:s,button:i||1,isClick:r||!1,pointer:this._pointer,absolutePointer:this._absolutePointer,transform:this._currentTransform};"up"===e&&(o.currentTarget=this.findTarget(t),o.currentSubTargets=this.targets),this.fire("mouse:"+e,o),n&&n.fire("mouse"+e,o);for(var a=0;a<s.length;a++)s[a].fire("mouse"+e,o)},_finalizeCurrentTransform:function(t){var e,i=this._currentTransform,r=i.target,n={e:t,target:r,transform:i,action:i.action};r._scaling&&(r._scaling=!1),r.setCoords(),(i.actionPerformed||this.stateful&&r.hasStateChanged())&&(i.actionPerformed&&(e=this._addEventOptions(n,i),this._fire(e,n)),this._fire("modified",n))},_addEventOptions:function(t,e){var i,r;switch(e.action){case"scaleX":i="scaled",r="x";break;case"scaleY":i="scaled",r="y";break;case"skewX":i="skewed",r="x";break;case"skewY":i="skewed",r="y";break;case"scale":i="scaled",r="equally";break;case"rotate":i="rotated";break;case"drag":i="moved"}return t.by=r,i},_onMouseDownInDrawingMode:function(t){this._isCurrentlyDrawing=!0,this.getActiveObject()&&this.discardActiveObject(t).requestRenderAll();var e=this.getPointer(t);this.freeDrawingBrush.onMouseDown(e,{e:t,pointer:e}),this._handleEvent(t,"down")},_onMouseMoveInDrawingMode:function(t){if(this._isCurrentlyDrawing){var e=this.getPointer(t);this.freeDrawingBrush.onMouseMove(e,{e:t,pointer:e})}this.setCursor(this.freeDrawingCursor),this._handleEvent(t,"move")},_onMouseUpInDrawingMode:function(t){var e=this.getPointer(t);this._isCurrentlyDrawing=this.freeDrawingBrush.onMouseUp({e:t,pointer:e}),this._handleEvent(t,"up")},__onMouseDown:function(t){this._cacheTransformEventData(t),this._handleEvent(t,"down:before");var e=this._target;if(u(t,3))this.fireRightClick&&this._handleEvent(t,"down",3);else if(u(t,2))this.fireMiddleClick&&this._handleEvent(t,"down",2);else if(this.isDrawingMode)this._onMouseDownInDrawingMode(t);else if(this._isMainEvent(t)&&!this._currentTransform){var i=this._pointer;this._previousPointer=i;var r=this._shouldRender(e),n=this._shouldGroup(t,e);if(this._shouldClearSelection(t,e)?this.discardActiveObject(t):n&&(this._handleGrouping(t,e),e=this._activeObject),!this.selection||e&&(e.selectable||e.isEditing||e===this._activeObject)||(this._groupSelector={ex:i.x,ey:i.y,top:0,left:0}),e){var s=e===this._activeObject;e.selectable&&this.setActiveObject(e,t);var o=e._findTargetCorner(this.getPointer(t,!0),fabric.util.isTouchEvent(t));if(e.__corner=o,e===this._activeObject&&(o||!n)){this._setupCurrentTransform(t,e,s);var a=e.controls[o],h=(i=this.getPointer(t),a&&a.getMouseDownHandler(t,e,a));h&&h(t,this._currentTransform,i.x,i.y)}}this._handleEvent(t,"down"),(r||n)&&this.requestRenderAll()}},_resetTransformEventData:function(){this._target=null,this._pointer=null,this._absolutePointer=null},_cacheTransformEventData:function(t){this._resetTransformEventData(),this._pointer=this.getPointer(t,!0),this._absolutePointer=this.restorePointerVpt(this._pointer),this._target=this._currentTransform?this._currentTransform.target:this.findTarget(t)||null},_beforeTransform:function(t){var e=this._currentTransform;this.stateful&&e.target.saveState(),this.fire("before:transform",{e:t,transform:e})},__onMouseMove:function(t){var e,i;if(this._handleEvent(t,"move:before"),this._cacheTransformEventData(t),this.isDrawingMode)this._onMouseMoveInDrawingMode(t);else if(this._isMainEvent(t)){var r=this._groupSelector;r?(i=this._pointer,r.left=i.x-r.ex,r.top=i.y-r.ey,this.renderTop()):this._currentTransform?this._transformObject(t):(e=this.findTarget(t)||null,this._setCursorFromEvent(t,e),this._fireOverOutEvents(e,t)),this._handleEvent(t,"move"),this._resetTransformEventData()}},_fireOverOutEvents:function(t,e){var i=this._hoveredTarget,r=this._hoveredTargets,n=this.targets,s=Math.max(r.length,n.length);this.fireSyntheticInOutEvents(t,e,{oldTarget:i,evtOut:"mouseout",canvasEvtOut:"mouse:out",evtIn:"mouseover",canvasEvtIn:"mouse:over"});for(var o=0;o<s;o++)this.fireSyntheticInOutEvents(n[o],e,{oldTarget:r[o],evtOut:"mouseout",evtIn:"mouseover"});this._hoveredTarget=t,this._hoveredTargets=this.targets.concat()},_fireEnterLeaveEvents:function(t,e){var i=this._draggedoverTarget,r=this._hoveredTargets,n=this.targets,s=Math.max(r.length,n.length);this.fireSyntheticInOutEvents(t,e,{oldTarget:i,evtOut:"dragleave",evtIn:"dragenter"});for(var o=0;o<s;o++)this.fireSyntheticInOutEvents(n[o],e,{oldTarget:r[o],evtOut:"dragleave",evtIn:"dragenter"});this._draggedoverTarget=t},fireSyntheticInOutEvents:function(t,e,i){var r,n,s,o=i.oldTarget,a=o!==t,h=i.canvasEvtIn,c=i.canvasEvtOut;a&&(r={e:e,target:t,previousTarget:o},n={e:e,target:o,nextTarget:t}),s=t&&a,o&&a&&(c&&this.fire(c,n),o.fire(i.evtOut,n)),s&&(h&&this.fire(h,r),t.fire(i.evtIn,r))},__onMouseWheel:function(t){this._cacheTransformEventData(t),this._handleEvent(t,"wheel"),this._resetTransformEventData()},_transformObject:function(t){var e=this.getPointer(t),i=this._currentTransform;i.reset=!1,i.target.isMoving=!0,i.shiftKey=t.shiftKey,i.altKey=t[this.centeredKey],this._performTransformAction(t,i,e),i.actionPerformed&&this.requestRenderAll()},_performTransformAction:function(t,e,i){var r=i.x,n=i.y,s=e.action,o=!1,a=e.actionHandler;a&&(o=a(t,e,r,n)),"drag"===s&&o&&this.setCursor(e.target.moveCursor||this.moveCursor),e.actionPerformed=e.actionPerformed||o},_fire:fabric.controlsUtils.fireEvent,_setCursorFromEvent:function(t,e){if(!e)return this.setCursor(this.defaultCursor),!1;var i=e.hoverCursor||this.hoverCursor,r=this._activeObject&&"activeSelection"===this._activeObject.type?this._activeObject:null,n=(!r||!r.contains(e))&&e._findTargetCorner(this.getPointer(t,!0));n?this.setCursor(this.getCornerCursor(n,e,t)):(e.subTargetCheck&&this.targets.concat().reverse().map(function(t){i=t.hoverCursor||i}),this.setCursor(i))},getCornerCursor:function(t,e,i){var r=e.controls[t];return r.cursorStyleHandler(i,r,e)}})}(),function(){var f=Math.min,d=Math.max;fabric.util.object.extend(fabric.Canvas.prototype,{_shouldGroup:function(t,e){var i=this._activeObject;return i&&this._isSelectionKeyPressed(t)&&e&&e.selectable&&this.selection&&(i!==e||"activeSelection"===i.type)&&!e.onSelect({e:t})},_handleGrouping:function(t,e){var i=this._activeObject;i.__corner||(e!==i||(e=this.findTarget(t,!0))&&e.selectable)&&(i&&"activeSelection"===i.type?this._updateActiveSelection(e,t):this._createActiveSelection(e,t))},_updateActiveSelection:function(t,e){var i=this._activeObject,r=i._objects.slice(0);i.contains(t)?(i.removeWithUpdate(t),this._hoveredTarget=t,this._hoveredTargets=this.targets.concat(),1===i.size()&&this._setActiveObject(i.item(0),e)):(i.addWithUpdate(t),this._hoveredTarget=i,this._hoveredTargets=this.targets.concat()),this._fireSelectionEvents(r,e)},_createActiveSelection:function(t,e){var i=this.getActiveObjects(),r=this._createGroup(t);this._hoveredTarget=r,this._setActiveObject(r,e),this._fireSelectionEvents(i,e)},_createGroup:function(t){var e=this._objects,i=e.indexOf(this._activeObject)<e.indexOf(t)?[this._activeObject,t]:[t,this._activeObject];return this._activeObject.isEditing&&this._activeObject.exitEditing(),new fabric.ActiveSelection(i,{canvas:this})},_groupSelectedObjects:function(t){var e,i=this._collectObjects(t);1===i.length?this.setActiveObject(i[0],t):1<i.length&&(e=new fabric.ActiveSelection(i.reverse(),{canvas:this}),this.setActiveObject(e,t))},_collectObjects:function(e){for(var t,i=[],r=this._groupSelector.ex,n=this._groupSelector.ey,s=r+this._groupSelector.left,o=n+this._groupSelector.top,a=new fabric.Point(f(r,s),f(n,o)),h=new fabric.Point(d(r,s),d(n,o)),c=!this.selectionFullyContained,l=r===s&&n===o,u=this._objects.length;u--&&!((t=this._objects[u])&&t.selectable&&t.visible&&(c&&t.intersectsWithRect(a,h)||t.isContainedWithinRect(a,h)||c&&t.containsPoint(a)||c&&t.containsPoint(h))&&(i.push(t),l)););return 1<i.length&&(i=i.filter(function(t){return!t.onSelect({e:e})})),i},_maybeGroupObjects:function(t){this.selection&&this._groupSelector&&this._groupSelectedObjects(t),this.setCursor(this.defaultCursor),this._groupSelector=null}})}(),fabric.util.object.extend(fabric.StaticCanvas.prototype,{toDataURL:function(t){t||(t={});var e=t.format||"png",i=t.quality||1,r=(t.multiplier||1)*(t.enableRetinaScaling?this.getRetinaScaling():1),n=this.toCanvasElement(r,t);return fabric.util.toDataURL(n,e,i)},toCanvasElement:function(t,e){t=t||1;var i=((e=e||{}).width||this.width)*t,r=(e.height||this.height)*t,n=this.getZoom(),s=this.width,o=this.height,a=n*t,h=this.viewportTransform,c=(h[4]-(e.left||0))*t,l=(h[5]-(e.top||0))*t,u=this.interactive,f=[a,0,0,a,c,l],d=this.enableRetinaScaling,g=fabric.util.createCanvasElement(),p=this.contextTop;return g.width=i,g.height=r,this.contextTop=null,this.enableRetinaScaling=!1,this.interactive=!1,this.viewportTransform=f,this.width=i,this.height=r,this.calcViewportBoundaries(),this.renderCanvas(g.getContext("2d"),this._objects),this.viewportTransform=h,this.width=s,this.height=o,this.calcViewportBoundaries(),this.interactive=u,this.enableRetinaScaling=d,this.contextTop=p,g}}),fabric.util.object.extend(fabric.StaticCanvas.prototype,{loadFromJSON:function(t,i,e){if(t){var r="string"==typeof t?JSON.parse(t):fabric.util.object.clone(t),n=this,s=r.clipPath,o=this.renderOnAddRemove;return this.renderOnAddRemove=!1,delete r.clipPath,this._enlivenObjects(r.objects,function(e){n.clear(),n._setBgOverlay(r,function(){s?n._enlivenObjects([s],function(t){n.clipPath=t[0],n.__setupCanvas.call(n,r,e,o,i)}):n.__setupCanvas.call(n,r,e,o,i)})},e),this}},__setupCanvas:function(t,e,i,r){var n=this;e.forEach(function(t,e){n.insertAt(t,e)}),this.renderOnAddRemove=i,delete t.objects,delete t.backgroundImage,delete t.overlayImage,delete t.background,delete t.overlay,this._setOptions(t),this.renderAll(),r&&r()},_setBgOverlay:function(t,e){var i={backgroundColor:!1,overlayColor:!1,backgroundImage:!1,overlayImage:!1};if(t.backgroundImage||t.overlayImage||t.background||t.overlay){var r=function(){i.backgroundImage&&i.overlayImage&&i.backgroundColor&&i.overlayColor&&e&&e()};this.__setBgOverlay("backgroundImage",t.backgroundImage,i,r),this.__setBgOverlay("overlayImage",t.overlayImage,i,r),this.__setBgOverlay("backgroundColor",t.background,i,r),this.__setBgOverlay("overlayColor",t.overlay,i,r)}else e&&e()},__setBgOverlay:function(e,t,i,r){var n=this;if(!t)return i[e]=!0,void(r&&r());"backgroundImage"===e||"overlayImage"===e?fabric.util.enlivenObjects([t],function(t){n[e]=t[0],i[e]=!0,r&&r()}):this["set"+fabric.util.string.capitalize(e,!0)](t,function(){i[e]=!0,r&&r()})},_enlivenObjects:function(t,e,i){t&&0!==t.length?fabric.util.enlivenObjects(t,function(t){e&&e(t)},null,i):e&&e([])},_toDataURL:function(e,i){this.clone(function(t){i(t.toDataURL(e))})},_toDataURLWithMultiplier:function(e,i,r){this.clone(function(t){r(t.toDataURLWithMultiplier(e,i))})},clone:function(e,t){var i=JSON.stringify(this.toJSON(t));this.cloneWithoutData(function(t){t.loadFromJSON(i,function(){e&&e(t)})})},cloneWithoutData:function(t){var e=fabric.util.createCanvasElement();e.width=this.width,e.height=this.height;var i=new fabric.Canvas(e);this.backgroundImage?(i.setBackgroundImage(this.backgroundImage.src,function(){i.renderAll(),t&&t(i)}),i.backgroundImageOpacity=this.backgroundImageOpacity,i.backgroundImageStretch=this.backgroundImageStretch):t&&t(i)}}),function(t){"use strict";var x=t.fabric||(t.fabric={}),e=x.util.object.extend,o=x.util.object.clone,r=x.util.toFixed,i=x.util.string.capitalize,a=x.util.degreesToRadians,n=x.StaticCanvas.supports("setLineDash"),s=!x.isLikelyNode;x.Object||(x.Object=x.util.createClass(x.CommonMethods,{type:"object",originX:"left",originY:"top",top:0,left:0,width:0,height:0,scaleX:1,scaleY:1,flipX:!1,flipY:!1,opacity:1,angle:0,skewX:0,skewY:0,cornerSize:13,touchCornerSize:24,transparentCorners:!0,hoverCursor:null,moveCursor:null,padding:0,borderColor:"rgb(178,204,255)",borderDashArray:null,cornerColor:"rgb(178,204,255)",cornerStrokeColor:null,cornerStyle:"rect",cornerDashArray:null,centeredScaling:!1,centeredRotation:!0,fill:"rgb(0,0,0)",fillRule:"nonzero",globalCompositeOperation:"source-over",backgroundColor:"",selectionBackgroundColor:"",stroke:null,strokeWidth:1,strokeDashArray:null,strokeDashOffset:0,strokeLineCap:"butt",strokeLineJoin:"miter",strokeMiterLimit:4,shadow:null,borderOpacityWhenMoving:.4,borderScaleFactor:1,minScaleLimit:0,selectable:!0,evented:!0,visible:!0,hasControls:!0,hasBorders:!0,perPixelTargetFind:!1,includeDefaultValues:!0,lockMovementX:!1,lockMovementY:!1,lockRotation:!1,lockScalingX:!1,lockScalingY:!1,lockSkewingX:!1,lockSkewingY:!1,lockScalingFlip:!1,excludeFromExport:!1,objectCaching:s,statefullCache:!1,noScaleCache:!0,strokeUniform:!1,dirty:!0,__corner:0,paintFirst:"fill",stateProperties:"top left width height scaleX scaleY flipX flipY originX originY transformMatrix stroke strokeWidth strokeDashArray strokeLineCap strokeDashOffset strokeLineJoin strokeMiterLimit angle opacity fill globalCompositeOperation shadow visible backgroundColor skewX skewY fillRule paintFirst clipPath strokeUniform".split(" "),cacheProperties:"fill stroke strokeWidth strokeDashArray width height paintFirst strokeUniform strokeLineCap strokeDashOffset strokeLineJoin strokeMiterLimit backgroundColor clipPath".split(" "),colorProperties:"fill stroke backgroundColor".split(" "),clipPath:void 0,inverted:!1,absolutePositioned:!1,initialize:function(t){t&&this.setOptions(t)},_createCacheCanvas:function(){this._cacheProperties={},this._cacheCanvas=x.util.createCanvasElement(),this._cacheContext=this._cacheCanvas.getContext("2d"),this._updateCacheCanvas(),this.dirty=!0},_limitCacheSize:function(t){var e=x.perfLimitSizeTotal,i=t.width,r=t.height,n=x.maxCacheSideLimit,s=x.minCacheSideLimit;if(i<=n&&r<=n&&i*r<=e)return i<s&&(t.width=s),r<s&&(t.height=s),t;var o=i/r,a=x.util.limitDimsByArea(o,e),h=x.util.capValue,c=h(s,a.x,n),l=h(s,a.y,n);return c<i&&(t.zoomX/=i/c,t.width=c,t.capped=!0),l<r&&(t.zoomY/=r/l,t.height=l,t.capped=!0),t},_getCacheCanvasDimensions:function(){var t=this.getTotalObjectScaling(),e=this._getTransformedDimensions(0,0),i=e.x*t.scaleX/this.scaleX,r=e.y*t.scaleY/this.scaleY;return{width:i+2,height:r+2,zoomX:t.scaleX,zoomY:t.scaleY,x:i,y:r}},_updateCacheCanvas:function(){var t=this.canvas;if(this.noScaleCache&&t&&t._currentTransform){var e=t._currentTransform.target,i=t._currentTransform.action;if(this===e&&i.slice&&"scale"===i.slice(0,5))return!1}var r,n,s=this._cacheCanvas,o=this._limitCacheSize(this._getCacheCanvasDimensions()),a=x.minCacheSideLimit,h=o.width,c=o.height,l=o.zoomX,u=o.zoomY,f=h!==this.cacheWidth||c!==this.cacheHeight,d=this.zoomX!==l||this.zoomY!==u,g=f||d,p=0,v=0,m=!1;if(f){var b=this._cacheCanvas.width,y=this._cacheCanvas.height,_=b<h||y<c;m=_||(h<.9*b||c<.9*y)&&a<b&&a<y,_&&!o.capped&&(a<h||a<c)&&(p=.1*h,v=.1*c)}return!!g&&(m?(s.width=Math.ceil(h+p),s.height=Math.ceil(c+v)):(this._cacheContext.setTransform(1,0,0,1,0,0),this._cacheContext.clearRect(0,0,s.width,s.height)),r=o.x/2,n=o.y/2,this.cacheTranslationX=Math.round(s.width/2-r)+r,this.cacheTranslationY=Math.round(s.height/2-n)+n,this.cacheWidth=h,this.cacheHeight=c,this._cacheContext.translate(this.cacheTranslationX,this.cacheTranslationY),this._cacheContext.scale(l,u),this.zoomX=l,this.zoomY=u,!0)},setOptions:function(t){this._setOptions(t),this._initGradient(t.fill,"fill"),this._initGradient(t.stroke,"stroke"),this._initPattern(t.fill,"fill"),this._initPattern(t.stroke,"stroke")},transform:function(t){var e=this.group&&!this.group._transformDone||this.group&&this.canvas&&t===this.canvas.contextTop,i=this.calcTransformMatrix(!e);t.transform(i[0],i[1],i[2],i[3],i[4],i[5])},toObject:function(t){var e=x.Object.NUM_FRACTION_DIGITS,i={type:this.type,version:x.version,originX:this.originX,originY:this.originY,left:r(this.left,e),top:r(this.top,e),width:r(this.width,e),height:r(this.height,e),fill:this.fill&&this.fill.toObject?this.fill.toObject():this.fill,stroke:this.stroke&&this.stroke.toObject?this.stroke.toObject():this.stroke,strokeWidth:r(this.strokeWidth,e),strokeDashArray:this.strokeDashArray?this.strokeDashArray.concat():this.strokeDashArray,strokeLineCap:this.strokeLineCap,strokeDashOffset:this.strokeDashOffset,strokeLineJoin:this.strokeLineJoin,strokeUniform:this.strokeUniform,strokeMiterLimit:r(this.strokeMiterLimit,e),scaleX:r(this.scaleX,e),scaleY:r(this.scaleY,e),angle:r(this.angle,e),flipX:this.flipX,flipY:this.flipY,opacity:r(this.opacity,e),shadow:this.shadow&&this.shadow.toObject?this.shadow.toObject():this.shadow,visible:this.visible,backgroundColor:this.backgroundColor,fillRule:this.fillRule,paintFirst:this.paintFirst,globalCompositeOperation:this.globalCompositeOperation,skewX:r(this.skewX,e),skewY:r(this.skewY,e)};return this.clipPath&&(i.clipPath=this.clipPath.toObject(t),i.clipPath.inverted=this.clipPath.inverted,i.clipPath.absolutePositioned=this.clipPath.absolutePositioned),x.util.populateWithProperties(this,i,t),this.includeDefaultValues||(i=this._removeDefaultValues(i)),i},toDatalessObject:function(t){return this.toObject(t)},_removeDefaultValues:function(e){var i=x.util.getKlass(e.type).prototype;return i.stateProperties.forEach(function(t){"left"!==t&&"top"!==t&&(e[t]===i[t]&&delete e[t],"[object Array]"===Object.prototype.toString.call(e[t])&&"[object Array]"===Object.prototype.toString.call(i[t])&&0===e[t].length&&0===i[t].length&&delete e[t])}),e},toString:function(){return"#<fabric."+i(this.type)+">"},getObjectScaling:function(){var t=x.util.qrDecompose(this.calcTransformMatrix());return{scaleX:Math.abs(t.scaleX),scaleY:Math.abs(t.scaleY)}},getTotalObjectScaling:function(){var t=this.getObjectScaling(),e=t.scaleX,i=t.scaleY;if(this.canvas){var r=this.canvas.getZoom(),n=this.canvas.getRetinaScaling();e*=r*n,i*=r*n}return{scaleX:e,scaleY:i}},getObjectOpacity:function(){var t=this.opacity;return this.group&&(t*=this.group.getObjectOpacity()),t},_set:function(t,e){var i="scaleX"===t||"scaleY"===t,r=this[t]!==e,n=!1;return i&&(e=this._constrainScale(e)),"scaleX"===t&&e<0?(this.flipX=!this.flipX,e*=-1):"scaleY"===t&&e<0?(this.flipY=!this.flipY,e*=-1):"shadow"!==t||!e||e instanceof x.Shadow?"dirty"===t&&this.group&&this.group.set("dirty",e):e=new x.Shadow(e),this[t]=e,r&&(n=this.group&&this.group.isOnACache(),-1<this.cacheProperties.indexOf(t)?(this.dirty=!0,n&&this.group.set("dirty",!0)):n&&-1<this.stateProperties.indexOf(t)&&this.group.set("dirty",!0)),this},setOnGroup:function(){},getViewportTransform:function(){return this.canvas&&this.canvas.viewportTransform?this.canvas.viewportTransform:x.iMatrix.concat()},isNotVisible:function(){return 0===this.opacity||!this.width&&!this.height&&0===this.strokeWidth||!this.visible},render:function(t){this.isNotVisible()||this.canvas&&this.canvas.skipOffscreen&&!this.group&&!this.isOnScreen()||(t.save(),this._setupCompositeOperation(t),this.drawSelectionBackground(t),this.transform(t),this._setOpacity(t),this._setShadow(t,this),this.shouldCache()?(this.renderCache(),this.drawCacheOnCanvas(t)):(this._removeCacheCanvas(),this.dirty=!1,this.drawObject(t),this.objectCaching&&this.statefullCache&&this.saveState({propertySet:"cacheProperties"})),t.restore())},renderCache:function(t){t=t||{},this._cacheCanvas||this._createCacheCanvas(),this.isCacheDirty()&&(this.statefullCache&&this.saveState({propertySet:"cacheProperties"}),this.drawObject(this._cacheContext,t.forClipping),this.dirty=!1)},_removeCacheCanvas:function(){this._cacheCanvas=null,this.cacheWidth=0,this.cacheHeight=0},hasStroke:function(){return this.stroke&&"transparent"!==this.stroke&&0!==this.strokeWidth},hasFill:function(){return this.fill&&"transparent"!==this.fill},needsItsOwnCache:function(){return!("stroke"!==this.paintFirst||!this.hasFill()||!this.hasStroke()||"object"!=typeof this.shadow)||!!this.clipPath},shouldCache:function(){return this.ownCaching=this.needsItsOwnCache()||this.objectCaching&&(!this.group||!this.group.isOnACache()),this.ownCaching},willDrawShadow:function(){return!!this.shadow&&(0!==this.shadow.offsetX||0!==this.shadow.offsetY)},drawClipPathOnCache:function(t){var e=this.clipPath;if(t.save(),e.inverted?t.globalCompositeOperation="destination-out":t.globalCompositeOperation="destination-in",e.absolutePositioned){var i=x.util.invertTransform(this.calcTransformMatrix());t.transform(i[0],i[1],i[2],i[3],i[4],i[5])}e.transform(t),t.scale(1/e.zoomX,1/e.zoomY),t.drawImage(e._cacheCanvas,-e.cacheTranslationX,-e.cacheTranslationY),t.restore()},drawObject:function(t,e){var i=this.fill,r=this.stroke;e?(this.fill="black",this.stroke="",this._setClippingProperties(t)):this._renderBackground(t),this._render(t),this._drawClipPath(t),this.fill=i,this.stroke=r},_drawClipPath:function(t){var e=this.clipPath;e&&(e.canvas=this.canvas,e.shouldCache(),e._transformDone=!0,e.renderCache({forClipping:!0}),this.drawClipPathOnCache(t))},drawCacheOnCanvas:function(t){t.scale(1/this.zoomX,1/this.zoomY),t.drawImage(this._cacheCanvas,-this.cacheTranslationX,-this.cacheTranslationY)},isCacheDirty:function(t){if(this.isNotVisible())return!1;if(this._cacheCanvas&&!t&&this._updateCacheCanvas())return!0;if(this.dirty||this.clipPath&&this.clipPath.absolutePositioned||this.statefullCache&&this.hasStateChanged("cacheProperties")){if(this._cacheCanvas&&!t){var e=this.cacheWidth/this.zoomX,i=this.cacheHeight/this.zoomY;this._cacheContext.clearRect(-e/2,-i/2,e,i)}return!0}return!1},_renderBackground:function(t){if(this.backgroundColor){var e=this._getNonTransformedDimensions();t.fillStyle=this.backgroundColor,t.fillRect(-e.x/2,-e.y/2,e.x,e.y),this._removeShadow(t)}},_setOpacity:function(t){this.group&&!this.group._transformDone?t.globalAlpha=this.getObjectOpacity():t.globalAlpha*=this.opacity},_setStrokeStyles:function(t,e){var i=e.stroke;i&&(t.lineWidth=e.strokeWidth,t.lineCap=e.strokeLineCap,t.lineDashOffset=e.strokeDashOffset,t.lineJoin=e.strokeLineJoin,t.miterLimit=e.strokeMiterLimit,i.toLive?"percentage"===i.gradientUnits||i.gradientTrasnform||i.patternTransform?this._applyPatternForTransformedGradient(t,i):(t.strokeStyle=i.toLive(t,this),this._applyPatternGradientTransform(t,i)):t.strokeStyle=e.stroke)},_setFillStyles:function(t,e){var i=e.fill;i&&(i.toLive?(t.fillStyle=i.toLive(t,this),this._applyPatternGradientTransform(t,e.fill)):t.fillStyle=i)},_setClippingProperties:function(t){t.globalAlpha=1,t.strokeStyle="transparent",t.fillStyle="#000000"},_setLineDash:function(t,e,i){e&&0!==e.length&&(1&e.length&&e.push.apply(e,e),n?t.setLineDash(e):i&&i(t))},_renderControls:function(t,e){var i,r,n,s=this.getViewportTransform(),o=this.calcTransformMatrix();r=void 0!==(e=e||{}).hasBorders?e.hasBorders:this.hasBorders,n=void 0!==e.hasControls?e.hasControls:this.hasControls,o=x.util.multiplyTransformMatrices(s,o),i=x.util.qrDecompose(o),t.save(),t.translate(i.translateX,i.translateY),t.lineWidth=1*this.borderScaleFactor,this.group||(t.globalAlpha=this.isMoving?this.borderOpacityWhenMoving:1),e.forActiveSelection?(t.rotate(a(i.angle)),r&&this.drawBordersInGroup(t,i,e)):(t.rotate(a(this.angle)),r&&this.drawBorders(t,e)),n&&this.drawControls(t,e),t.restore()},_setShadow:function(t){if(this.shadow){var e,i=this.shadow,r=this.canvas,n=r&&r.viewportTransform[0]||1,s=r&&r.viewportTransform[3]||1;e=i.nonScaling?{scaleX:1,scaleY:1}:this.getObjectScaling(),r&&r._isRetinaScaling()&&(n*=x.devicePixelRatio,s*=x.devicePixelRatio),t.shadowColor=i.color,t.shadowBlur=i.blur*x.browserShadowBlurConstant*(n+s)*(e.scaleX+e.scaleY)/4,t.shadowOffsetX=i.offsetX*n*e.scaleX,t.shadowOffsetY=i.offsetY*s*e.scaleY}},_removeShadow:function(t){this.shadow&&(t.shadowColor="",t.shadowBlur=t.shadowOffsetX=t.shadowOffsetY=0)},_applyPatternGradientTransform:function(t,e){if(!e||!e.toLive)return{offsetX:0,offsetY:0};var i=e.gradientTransform||e.patternTransform,r=-this.width/2+e.offsetX||0,n=-this.height/2+e.offsetY||0;return"percentage"===e.gradientUnits?t.transform(this.width,0,0,this.height,r,n):t.transform(1,0,0,1,r,n),i&&t.transform(i[0],i[1],i[2],i[3],i[4],i[5]),{offsetX:r,offsetY:n}},_renderPaintInOrder:function(t){"stroke"===this.paintFirst?(this._renderStroke(t),this._renderFill(t)):(this._renderFill(t),this._renderStroke(t))},_render:function(){},_renderFill:function(t){this.fill&&(t.save(),this._setFillStyles(t,this),"evenodd"===this.fillRule?t.fill("evenodd"):t.fill(),t.restore())},_renderStroke:function(t){if(this.stroke&&0!==this.strokeWidth){if(this.shadow&&!this.shadow.affectStroke&&this._removeShadow(t),t.save(),this.strokeUniform&&this.group){var e=this.getObjectScaling();t.scale(1/e.scaleX,1/e.scaleY)}else this.strokeUniform&&t.scale(1/this.scaleX,1/this.scaleY);this._setLineDash(t,this.strokeDashArray,this._renderDashedStroke),this._setStrokeStyles(t,this),t.stroke(),t.restore()}},_applyPatternForTransformedGradient:function(t,e){var i,r=this._limitCacheSize(this._getCacheCanvasDimensions()),n=x.util.createCanvasElement(),s=this.canvas.getRetinaScaling(),o=r.x/this.scaleX/s,a=r.y/this.scaleY/s;n.width=o,n.height=a,(i=n.getContext("2d")).beginPath(),i.moveTo(0,0),i.lineTo(o,0),i.lineTo(o,a),i.lineTo(0,a),i.closePath(),i.translate(o/2,a/2),i.scale(r.zoomX/this.scaleX/s,r.zoomY/this.scaleY/s),this._applyPatternGradientTransform(i,e),i.fillStyle=e.toLive(t),i.fill(),t.translate(-this.width/2-this.strokeWidth/2,-this.height/2-this.strokeWidth/2),t.scale(s*this.scaleX/r.zoomX,s*this.scaleY/r.zoomY),t.strokeStyle=i.createPattern(n,"no-repeat")},_findCenterFromElement:function(){return{x:this.left+this.width/2,y:this.top+this.height/2}},_assignTransformMatrixProps:function(){if(this.transformMatrix){var t=x.util.qrDecompose(this.transformMatrix);this.flipX=!1,this.flipY=!1,this.set("scaleX",t.scaleX),this.set("scaleY",t.scaleY),this.angle=t.angle,this.skewX=t.skewX,this.skewY=0}},_removeTransformMatrix:function(t){var e=this._findCenterFromElement();this.transformMatrix&&(this._assignTransformMatrixProps(),e=x.util.transformPoint(e,this.transformMatrix)),this.transformMatrix=null,t&&(this.scaleX*=t.scaleX,this.scaleY*=t.scaleY,this.cropX=t.cropX,this.cropY=t.cropY,e.x+=t.offsetLeft,e.y+=t.offsetTop,this.width=t.width,this.height=t.height),this.setPositionByOrigin(e,"center","center")},clone:function(t,e){var i=this.toObject(e);this.constructor.fromObject?this.constructor.fromObject(i,t):x.Object._fromObject("Object",i,t)},cloneAsImage:function(t,e){var i=this.toCanvasElement(e);return t&&t(new x.Image(i)),this},toCanvasElement:function(t){t||(t={});var e=x.util,i=e.saveObjectTransform(this),r=this.group,n=this.shadow,s=Math.abs,o=(t.multiplier||1)*(t.enableRetinaScaling?x.devicePixelRatio:1);delete this.group,t.withoutTransform&&e.resetObjectTransform(this),t.withoutShadow&&(this.shadow=null);var a,h,c,l,u=x.util.createCanvasElement(),f=this.getBoundingRect(!0,!0),d=this.shadow,g={x:0,y:0};d&&(h=d.blur,a=d.nonScaling?{scaleX:1,scaleY:1}:this.getObjectScaling(),g.x=2*Math.round(s(d.offsetX)+h)*s(a.scaleX),g.y=2*Math.round(s(d.offsetY)+h)*s(a.scaleY)),c=f.width+g.x,l=f.height+g.y,u.width=Math.ceil(c),u.height=Math.ceil(l);var p=new x.StaticCanvas(u,{enableRetinaScaling:!1,renderOnAddRemove:!1,skipOffscreen:!1});"jpeg"===t.format&&(p.backgroundColor="#fff"),this.setPositionByOrigin(new x.Point(p.width/2,p.height/2),"center","center");var v=this.canvas;p.add(this);var m=p.toCanvasElement(o||1,t);return this.shadow=n,this.set("canvas",v),r&&(this.group=r),this.set(i).setCoords(),p._objects=[],p.dispose(),p=null,m},toDataURL:function(t){return t||(t={}),x.util.toDataURL(this.toCanvasElement(t),t.format||"png",t.quality||1)},isType:function(t){return this.type===t},complexity:function(){return 1},toJSON:function(t){return this.toObject(t)},rotate:function(t){var e=("center"!==this.originX||"center"!==this.originY)&&this.centeredRotation;return e&&this._setOriginToCenter(),this.set("angle",t),e&&this._resetOrigin(),this},centerH:function(){return this.canvas&&this.canvas.centerObjectH(this),this},viewportCenterH:function(){return this.canvas&&this.canvas.viewportCenterObjectH(this),this},centerV:function(){return this.canvas&&this.canvas.centerObjectV(this),this},viewportCenterV:function(){return this.canvas&&this.canvas.viewportCenterObjectV(this),this},center:function(){return this.canvas&&this.canvas.centerObject(this),this},viewportCenter:function(){return this.canvas&&this.canvas.viewportCenterObject(this),this},getLocalPointer:function(t,e){e=e||this.canvas.getPointer(t);var i=new x.Point(e.x,e.y),r=this._getLeftTopCoords();return this.angle&&(i=x.util.rotatePoint(i,r,a(-this.angle))),{x:i.x-r.x,y:i.y-r.y}},_setupCompositeOperation:function(t){this.globalCompositeOperation&&(t.globalCompositeOperation=this.globalCompositeOperation)}}),x.util.createAccessors&&x.util.createAccessors(x.Object),e(x.Object.prototype,x.Observable),x.Object.NUM_FRACTION_DIGITS=2,x.Object._fromObject=function(t,i,r,n){var s=x[t];i=o(i,!0),x.util.enlivenPatterns([i.fill,i.stroke],function(t){void 0!==t[0]&&(i.fill=t[0]),void 0!==t[1]&&(i.stroke=t[1]),x.util.enlivenObjects([i.clipPath],function(t){i.clipPath=t[0];var e=n?new s(i[n],i):new s(i);r&&r(e)})})},x.Object.__uid=0)}("undefined"!=typeof exports?exports:this),function(){var a=fabric.util.degreesToRadians,l={left:-.5,center:0,right:.5},u={top:-.5,center:0,bottom:.5};fabric.util.object.extend(fabric.Object.prototype,{translateToGivenOrigin:function(t,e,i,r,n){var s,o,a,h=t.x,c=t.y;return"string"==typeof e?e=l[e]:e-=.5,"string"==typeof r?r=l[r]:r-=.5,"string"==typeof i?i=u[i]:i-=.5,"string"==typeof n?n=u[n]:n-=.5,o=n-i,((s=r-e)||o)&&(a=this._getTransformedDimensions(),h=t.x+s*a.x,c=t.y+o*a.y),new fabric.Point(h,c)},translateToCenterPoint:function(t,e,i){var r=this.translateToGivenOrigin(t,e,i,"center","center");return this.angle?fabric.util.rotatePoint(r,t,a(this.angle)):r},translateToOriginPoint:function(t,e,i){var r=this.translateToGivenOrigin(t,"center","center",e,i);return this.angle?fabric.util.rotatePoint(r,t,a(this.angle)):r},getCenterPoint:function(){var t=new fabric.Point(this.left,this.top);return this.translateToCenterPoint(t,this.originX,this.originY)},getPointByOrigin:function(t,e){var i=this.getCenterPoint();return this.translateToOriginPoint(i,t,e)},toLocalPoint:function(t,e,i){var r,n,s=this.getCenterPoint();return r=void 0!==e&&void 0!==i?this.translateToGivenOrigin(s,"center","center",e,i):new fabric.Point(this.left,this.top),n=new fabric.Point(t.x,t.y),this.angle&&(n=fabric.util.rotatePoint(n,s,-a(this.angle))),n.subtractEquals(r)},setPositionByOrigin:function(t,e,i){var r=this.translateToCenterPoint(t,e,i),n=this.translateToOriginPoint(r,this.originX,this.originY);this.set("left",n.x),this.set("top",n.y)},adjustPosition:function(t){var e,i,r=a(this.angle),n=this.getScaledWidth(),s=fabric.util.cos(r)*n,o=fabric.util.sin(r)*n;e="string"==typeof this.originX?l[this.originX]:this.originX-.5,i="string"==typeof t?l[t]:t-.5,this.left+=s*(i-e),this.top+=o*(i-e),this.setCoords(),this.originX=t},_setOriginToCenter:function(){this._originalOriginX=this.originX,this._originalOriginY=this.originY;var t=this.getCenterPoint();this.originX="center",this.originY="center",this.left=t.x,this.top=t.y},_resetOrigin:function(){var t=this.translateToOriginPoint(this.getCenterPoint(),this._originalOriginX,this._originalOriginY);this.originX=this._originalOriginX,this.originY=this._originalOriginY,this.left=t.x,this.top=t.y,this._originalOriginX=null,this._originalOriginY=null},_getLeftTopCoords:function(){return this.translateToOriginPoint(this.getCenterPoint(),"left","top")}})}(),function(){var c=fabric.util,l=c.degreesToRadians,a=c.multiplyTransformMatrices,u=c.transformPoint;c.object.extend(fabric.Object.prototype,{oCoords:null,aCoords:null,lineCoords:null,ownMatrixCache:null,matrixCache:null,controls:{},_getCoords:function(t,e){return e?t?this.calcACoords():this.calcLineCoords():(this.aCoords&&this.lineCoords||this.setCoords(!0),t?this.aCoords:this.lineCoords)},getCoords:function(t,e){return i=this._getCoords(t,e),[new fabric.Point(i.tl.x,i.tl.y),new fabric.Point(i.tr.x,i.tr.y),new fabric.Point(i.br.x,i.br.y),new fabric.Point(i.bl.x,i.bl.y)];var i},intersectsWithRect:function(t,e,i,r){var n=this.getCoords(i,r);return"Intersection"===fabric.Intersection.intersectPolygonRectangle(n,t,e).status},intersectsWithObject:function(t,e,i){return"Intersection"===fabric.Intersection.intersectPolygonPolygon(this.getCoords(e,i),t.getCoords(e,i)).status||t.isContainedWithinObject(this,e,i)||this.isContainedWithinObject(t,e,i)},isContainedWithinObject:function(t,e,i){for(var r=this.getCoords(e,i),n=e?t.aCoords:t.lineCoords,s=0,o=t._getImageLines(n);s<4;s++)if(!t.containsPoint(r[s],o))return!1;return!0},isContainedWithinRect:function(t,e,i,r){var n=this.getBoundingRect(i,r);return n.left>=t.x&&n.left+n.width<=e.x&&n.top>=t.y&&n.top+n.height<=e.y},containsPoint:function(t,e,i,r){var n=this._getCoords(i,r),s=(e=e||this._getImageLines(n),this._findCrossPoints(t,e));return 0!==s&&s%2==1},isOnScreen:function(t){if(!this.canvas)return!1;var e=this.canvas.vptCoords.tl,i=this.canvas.vptCoords.br;return!!this.getCoords(!0,t).some(function(t){return t.x<=i.x&&t.x>=e.x&&t.y<=i.y&&t.y>=e.y})||(!!this.intersectsWithRect(e,i,!0,t)||this._containsCenterOfCanvas(e,i,t))},_containsCenterOfCanvas:function(t,e,i){var r={x:(t.x+e.x)/2,y:(t.y+e.y)/2};return!!this.containsPoint(r,null,!0,i)},isPartiallyOnScreen:function(t){if(!this.canvas)return!1;var e=this.canvas.vptCoords.tl,i=this.canvas.vptCoords.br;return!!this.intersectsWithRect(e,i,!0,t)||this.getCoords(!0,t).every(function(t){return(t.x>=i.x||t.x<=e.x)&&(t.y>=i.y||t.y<=e.y)})&&this._containsCenterOfCanvas(e,i,t)},_getImageLines:function(t){return{topline:{o:t.tl,d:t.tr},rightline:{o:t.tr,d:t.br},bottomline:{o:t.br,d:t.bl},leftline:{o:t.bl,d:t.tl}}},_findCrossPoints:function(t,e){var i,r,n,s=0;for(var o in e)if(!((n=e[o]).o.y<t.y&&n.d.y<t.y||n.o.y>=t.y&&n.d.y>=t.y||(n.o.x===n.d.x&&n.o.x>=t.x?r=n.o.x:(0,i=(n.d.y-n.o.y)/(n.d.x-n.o.x),r=-(t.y-0*t.x-(n.o.y-i*n.o.x))/(0-i)),r>=t.x&&(s+=1),2!==s)))break;return s},getBoundingRect:function(t,e){var i=this.getCoords(t,e);return c.makeBoundingBoxFromPoints(i)},getScaledWidth:function(){return this._getTransformedDimensions().x},getScaledHeight:function(){return this._getTransformedDimensions().y},_constrainScale:function(t){return Math.abs(t)<this.minScaleLimit?t<0?-this.minScaleLimit:this.minScaleLimit:0===t?1e-4:t},scale:function(t){return this._set("scaleX",t),this._set("scaleY",t),this.setCoords()},scaleToWidth:function(t,e){var i=this.getBoundingRect(e).width/this.getScaledWidth();return this.scale(t/this.width/i)},scaleToHeight:function(t,e){var i=this.getBoundingRect(e).height/this.getScaledHeight();return this.scale(t/this.height/i)},calcCoords:function(t){return t?this.calcACoords():this.calcOCoords()},calcLineCoords:function(){var t=this.getViewportTransform(),e=this.padding,i=l(this.angle),r=c.cos(i)*e,n=c.sin(i)*e,s=r+n,o=r-n,a=this.calcACoords(),h={tl:u(a.tl,t),tr:u(a.tr,t),bl:u(a.bl,t),br:u(a.br,t)};return e&&(h.tl.x-=o,h.tl.y-=s,h.tr.x+=s,h.tr.y-=o,h.bl.x-=s,h.bl.y+=o,h.br.x+=o,h.br.y+=s),h},calcOCoords:function(){var t=this._calcRotateMatrix(),e=this._calcTranslateMatrix(),i=this.getViewportTransform(),r=a(i,e),n=a(r,t),s=(n=a(n,[1/i[0],0,0,1/i[3],0,0]),this._calculateCurrentDimensions()),o={};return this.forEachControl(function(t,e,i){o[e]=t.positionHandler(s,n,i)}),o},calcACoords:function(){var t=this._calcRotateMatrix(),e=this._calcTranslateMatrix(),i=a(e,t),r=this._getTransformedDimensions(),n=r.x/2,s=r.y/2;return{tl:u({x:-n,y:-s},i),tr:u({x:n,y:-s},i),bl:u({x:-n,y:s},i),br:u({x:n,y:s},i)}},setCoords:function(t){return this.aCoords=this.calcACoords(),this.lineCoords=this.group?this.aCoords:this.calcLineCoords(),t||(this.oCoords=this.calcOCoords(),this._setCornerCoords&&this._setCornerCoords()),this},_calcRotateMatrix:function(){return c.calcRotateMatrix(this)},_calcTranslateMatrix:function(){var t=this.getCenterPoint();return[1,0,0,1,t.x,t.y]},transformMatrixKey:function(t){var e="_",i="";return!t&&this.group&&(i=this.group.transformMatrixKey(t)+e),i+this.top+e+this.left+e+this.scaleX+e+this.scaleY+e+this.skewX+e+this.skewY+e+this.angle+e+this.originX+e+this.originY+e+this.width+e+this.height+e+this.strokeWidth+this.flipX+this.flipY},calcTransformMatrix:function(t){var e=this.calcOwnMatrix();if(t||!this.group)return e;var i=this.transformMatrixKey(t),r=this.matrixCache||(this.matrixCache={});return r.key===i?r.value:(this.group&&(e=a(this.group.calcTransformMatrix(!1),e)),r.key=i,r.value=e)},calcOwnMatrix:function(){var t=this.transformMatrixKey(!0),e=this.ownMatrixCache||(this.ownMatrixCache={});if(e.key===t)return e.value;var i=this._calcTranslateMatrix(),r={angle:this.angle,translateX:i[4],translateY:i[5],scaleX:this.scaleX,scaleY:this.scaleY,skewX:this.skewX,skewY:this.skewY,flipX:this.flipX,flipY:this.flipY};return e.key=t,e.value=c.composeMatrix(r),e.value},_calcDimensionsTransformMatrix:function(t,e,i){return c.calcDimensionsMatrix({skewX:t,skewY:e,scaleX:this.scaleX*(i&&this.flipX?-1:1),scaleY:this.scaleY*(i&&this.flipY?-1:1)})},_getNonTransformedDimensions:function(){var t=this.strokeWidth;return{x:this.width+t,y:this.height+t}},_getTransformedDimensions:function(t,e){void 0===t&&(t=this.skewX),void 0===e&&(e=this.skewY);var i,r,n=this._getNonTransformedDimensions(),s=0===t&&0===e;if(this.strokeUniform?(i=this.width,r=this.height):(i=n.x,r=n.y),s)return this._finalizeDimensions(i*this.scaleX,r*this.scaleY);var o=c.sizeAfterTransform(i,r,{scaleX:this.scaleX,scaleY:this.scaleY,skewX:t,skewY:e});return this._finalizeDimensions(o.x,o.y)},_finalizeDimensions:function(t,e){return this.strokeUniform?{x:t+this.strokeWidth,y:e+this.strokeWidth}:{x:t,y:e}},_calculateCurrentDimensions:function(){var t=this.getViewportTransform(),e=this._getTransformedDimensions();return u(e,t,!0).scalarAdd(2*this.padding)}})}(),fabric.util.object.extend(fabric.Object.prototype,{sendToBack:function(){return this.group?fabric.StaticCanvas.prototype.sendToBack.call(this.group,this):this.canvas&&this.canvas.sendToBack(this),this},bringToFront:function(){return this.group?fabric.StaticCanvas.prototype.bringToFront.call(this.group,this):this.canvas&&this.canvas.bringToFront(this),this},sendBackwards:function(t){return this.group?fabric.StaticCanvas.prototype.sendBackwards.call(this.group,this,t):this.canvas&&this.canvas.sendBackwards(this,t),this},bringForward:function(t){return this.group?fabric.StaticCanvas.prototype.bringForward.call(this.group,this,t):this.canvas&&this.canvas.bringForward(this,t),this},moveTo:function(t){return this.group&&"activeSelection"!==this.group.type?fabric.StaticCanvas.prototype.moveTo.call(this.group,this,t):this.canvas&&this.canvas.moveTo(this,t),this}}),function(){function f(t,e){if(e){if(e.toLive)return t+": url(#SVGID_"+e.id+"); ";var i=new fabric.Color(e),r=t+": "+i.toRgb()+"; ",n=i.getAlpha();return 1!==n&&(r+=t+"-opacity: "+n.toString()+"; "),r}return t+": none; "}var i=fabric.util.toFixed;fabric.util.object.extend(fabric.Object.prototype,{getSvgStyles:function(t){var e=this.fillRule?this.fillRule:"nonzero",i=this.strokeWidth?this.strokeWidth:"0",r=this.strokeDashArray?this.strokeDashArray.join(" "):"none",n=this.strokeDashOffset?this.strokeDashOffset:"0",s=this.strokeLineCap?this.strokeLineCap:"butt",o=this.strokeLineJoin?this.strokeLineJoin:"miter",a=this.strokeMiterLimit?this.strokeMiterLimit:"4",h=void 0!==this.opacity?this.opacity:"1",c=this.visible?"":" visibility: hidden;",l=t?"":this.getSvgFilter(),u=f("fill",this.fill);return[f("stroke",this.stroke),"stroke-width: ",i,"; ","stroke-dasharray: ",r,"; ","stroke-linecap: ",s,"; ","stroke-dashoffset: ",n,"; ","stroke-linejoin: ",o,"; ","stroke-miterlimit: ",a,"; ",u,"fill-rule: ",e,"; ","opacity: ",h,";",l,c].join("")},getSvgSpanStyles:function(t,e){var i="; ",r=t.fontFamily?"font-family: "+(-1===t.fontFamily.indexOf("'")&&-1===t.fontFamily.indexOf('"')?"'"+t.fontFamily+"'":t.fontFamily)+i:"",n=t.strokeWidth?"stroke-width: "+t.strokeWidth+i:"",s=(r=r,t.fontSize?"font-size: "+t.fontSize+"px"+i:""),o=t.fontStyle?"font-style: "+t.fontStyle+i:"",a=t.fontWeight?"font-weight: "+t.fontWeight+i:"",h=t.fill?f("fill",t.fill):"",c=t.stroke?f("stroke",t.stroke):"",l=this.getSvgTextDecoration(t);return l&&(l="text-decoration: "+l+i),[c,n,r,s,o,a,l,h,t.deltaY?"baseline-shift: "+-t.deltaY+"; ":"",e?"white-space: pre; ":""].join("")},getSvgTextDecoration:function(e){return["overline","underline","line-through"].filter(function(t){return e[t.replace("-","")]}).join(" ")},getSvgFilter:function(){return this.shadow?"filter: url(#SVGID_"+this.shadow.id+");":""},getSvgCommons:function(){return[this.id?'id="'+this.id+'" ':"",this.clipPath?'clip-path="url(#'+this.clipPath.clipPathId+')" ':""].join("")},getSvgTransform:function(t,e){var i=t?this.calcTransformMatrix():this.calcOwnMatrix();return'transform="'+fabric.util.matrixToSVG(i)+(e||"")+'" '},_setSVGBg:function(t){if(this.backgroundColor){var e=fabric.Object.NUM_FRACTION_DIGITS;t.push("\t\t<rect ",this._getFillAttributes(this.backgroundColor),' x="',i(-this.width/2,e),'" y="',i(-this.height/2,e),'" width="',i(this.width,e),'" height="',i(this.height,e),'"></rect>\n')}},toSVG:function(t){return this._createBaseSVGMarkup(this._toSVG(t),{reviver:t})},toClipPathSVG:function(t){return"\t"+this._createBaseClipPathSVGMarkup(this._toSVG(t),{reviver:t})},_createBaseClipPathSVGMarkup:function(t,e){var i=(e=e||{}).reviver,r=e.additionalTransform||"",n=[this.getSvgTransform(!0,r),this.getSvgCommons()].join(""),s=t.indexOf("COMMON_PARTS");return t[s]=n,i?i(t.join("")):t.join("")},_createBaseSVGMarkup:function(t,e){var i,r,n=(e=e||{}).noStyle,s=e.reviver,o=n?"":'style="'+this.getSvgStyles()+'" ',a=e.withShadow?'style="'+this.getSvgFilter()+'" ':"",h=this.clipPath,c=this.strokeUniform?'vector-effect="non-scaling-stroke" ':"",l=h&&h.absolutePositioned,u=this.stroke,f=this.fill,d=this.shadow,g=[],p=t.indexOf("COMMON_PARTS"),v=e.additionalTransform;return h&&(h.clipPathId="CLIPPATH_"+fabric.Object.__uid++,r='<clipPath id="'+h.clipPathId+'" >\n'+h.toClipPathSVG(s)+"</clipPath>\n"),l&&g.push("<g ",a,this.getSvgCommons()," >\n"),g.push("<g ",this.getSvgTransform(!1),l?"":a+this.getSvgCommons()," >\n"),i=[o,c,n?"":this.addPaintOrder()," ",v?'transform="'+v+'" ':""].join(""),t[p]=i,f&&f.toLive&&g.push(f.toSVG(this)),u&&u.toLive&&g.push(u.toSVG(this)),d&&g.push(d.toSVG(this)),h&&g.push(r),g.push(t.join("")),g.push("</g>\n"),l&&g.push("</g>\n"),s?s(g.join("")):g.join("")},addPaintOrder:function(){return"fill"!==this.paintFirst?' paint-order="'+this.paintFirst+'" ':""}})}(),function(){var n=fabric.util.object.extend,r="stateProperties";function s(e,t,i){var r={};i.forEach(function(t){r[t]=e[t]}),n(e[t],r,!0)}fabric.util.object.extend(fabric.Object.prototype,{hasStateChanged:function(t){var e="_"+(t=t||r);return Object.keys(this[e]).length<this[t].length||!function t(e,i,r){if(e===i)return!0;if(Array.isArray(e)){if(!Array.isArray(i)||e.length!==i.length)return!1;for(var n=0,s=e.length;n<s;n++)if(!t(e[n],i[n]))return!1;return!0}if(e&&"object"==typeof e){var o,a=Object.keys(e);if(!i||"object"!=typeof i||!r&&a.length!==Object.keys(i).length)return!1;for(n=0,s=a.length;n<s;n++)if("canvas"!==(o=a[n])&&"group"!==o&&!t(e[o],i[o]))return!1;return!0}}(this[e],this,!0)},saveState:function(t){var e=t&&t.propertySet||r,i="_"+e;return this[i]?(s(this,i,this[e]),t&&t.stateProperties&&s(this,i,t.stateProperties),this):this.setupState(t)},setupState:function(t){var e=(t=t||{}).propertySet||r;return this["_"+(t.propertySet=e)]={},this.saveState(t),this}})}(),function(){var n=fabric.util.degreesToRadians;fabric.util.object.extend(fabric.Object.prototype,{_findTargetCorner:function(t,e){if(!this.hasControls||this.group||!this.canvas||this.canvas._activeObject!==this)return!1;var i,r,n,s=t.x,o=t.y,a=Object.keys(this.oCoords),h=a.length-1;for(this.__corner=0;0<=h;h--)if(n=a[h],this.isControlVisible(n)&&(r=this._getImageLines(e?this.oCoords[n].touchCorner:this.oCoords[n].corner),0!==(i=this._findCrossPoints({x:s,y:o},r))&&i%2==1))return this.__corner=n;return!1},forEachControl:function(t){for(var e in this.controls)t(this.controls[e],e,this)},_setCornerCoords:function(){var t=this.oCoords;for(var e in t){var i=this.controls[e];t[e].corner=i.calcCornerCoords(this.angle,this.cornerSize,t[e].x,t[e].y,!1),t[e].touchCorner=i.calcCornerCoords(this.angle,this.touchCornerSize,t[e].x,t[e].y,!0)}},drawSelectionBackground:function(t){if(!this.selectionBackgroundColor||this.canvas&&!this.canvas.interactive||this.canvas&&this.canvas._activeObject!==this)return this;t.save();var e=this.getCenterPoint(),i=this._calculateCurrentDimensions(),r=this.canvas.viewportTransform;return t.translate(e.x,e.y),t.scale(1/r[0],1/r[3]),t.rotate(n(this.angle)),t.fillStyle=this.selectionBackgroundColor,t.fillRect(-i.x/2,-i.y/2,i.x,i.y),t.restore(),this},drawBorders:function(r,t){t=t||{};var e=this._calculateCurrentDimensions(),i=this.borderScaleFactor,n=e.x+i,s=e.y+i,o=void 0!==t.hasControls?t.hasControls:this.hasControls,a=!1;return r.save(),r.strokeStyle=t.borderColor||this.borderColor,this._setLineDash(r,t.borderDashArray||this.borderDashArray,null),r.strokeRect(-n/2,-s/2,n,s),o&&(r.beginPath(),this.forEachControl(function(t,e,i){t.withConnection&&t.getVisibility(i,e)&&(a=!0,r.moveTo(t.x*n,t.y*s),r.lineTo(t.x*n+t.offsetX,t.y*s+t.offsetY))}),a&&r.stroke()),r.restore(),this},drawBordersInGroup:function(t,e,i){i=i||{};var r=fabric.util.sizeAfterTransform(this.width,this.height,e),n=this.strokeWidth,s=this.strokeUniform,o=this.borderScaleFactor,a=r.x+n*(s?this.canvas.getZoom():e.scaleX)+o,h=r.y+n*(s?this.canvas.getZoom():e.scaleY)+o;return t.save(),this._setLineDash(t,i.borderDashArray||this.borderDashArray,null),t.strokeStyle=i.borderColor||this.borderColor,t.strokeRect(-a/2,-h/2,a,h),t.restore(),this},drawControls:function(r,n){return n=n||{},r.save(),r.setTransform(this.canvas.getRetinaScaling(),0,0,this.canvas.getRetinaScaling(),0,0),r.strokeStyle=r.fillStyle=n.cornerColor||this.cornerColor,this.transparentCorners||(r.strokeStyle=n.cornerStrokeColor||this.cornerStrokeColor),this._setLineDash(r,n.cornerDashArray||this.cornerDashArray,null),this.setCoords(),this.forEachControl(function(t,e,i){t.getVisibility(i,e)&&t.render(r,i.oCoords[e].x,i.oCoords[e].y,n,i)}),r.restore(),this},isControlVisible:function(t){return this.controls[t]&&this.controls[t].getVisibility(this,t)},setControlVisible:function(t,e){return this._controlsVisibility||(this._controlsVisibility={}),this._controlsVisibility[t]=e,this},setControlsVisibility:function(t){for(var e in t||(t={}),t)this.setControlVisible(e,t[e]);return this},onDeselect:function(){},onSelect:function(){}})}(),fabric.util.object.extend(fabric.StaticCanvas.prototype,{FX_DURATION:500,fxCenterObjectH:function(e,t){var i=function(){},r=(t=t||{}).onComplete||i,n=t.onChange||i,s=this;return fabric.util.animate({startValue:e.left,endValue:this.getCenter().left,duration:this.FX_DURATION,onChange:function(t){e.set("left",t),s.requestRenderAll(),n()},onComplete:function(){e.setCoords(),r()}}),this},fxCenterObjectV:function(e,t){var i=function(){},r=(t=t||{}).onComplete||i,n=t.onChange||i,s=this;return fabric.util.animate({startValue:e.top,endValue:this.getCenter().top,duration:this.FX_DURATION,onChange:function(t){e.set("top",t),s.requestRenderAll(),n()},onComplete:function(){e.setCoords(),r()}}),this},fxRemove:function(e,t){var i=function(){},r=(t=t||{}).onComplete||i,n=t.onChange||i,s=this;return fabric.util.animate({startValue:e.opacity,endValue:0,duration:this.FX_DURATION,onChange:function(t){e.set("opacity",t),s.requestRenderAll(),n()},onComplete:function(){s.remove(e),r()}}),this}}),fabric.util.object.extend(fabric.Object.prototype,{animate:function(){if(arguments[0]&&"object"==typeof arguments[0]){var t,e,i=[];for(t in arguments[0])i.push(t);for(var r=0,n=i.length;r<n;r++)t=i[r],e=r!==n-1,this._animate(t,arguments[0][t],arguments[1],e)}else this._animate.apply(this,arguments);return this},_animate:function(r,t,n,s){var o,a=this;t=t.toString(),n=n?fabric.util.object.clone(n):{},~r.indexOf(".")&&(o=r.split("."));var e=-1<a.colorProperties.indexOf(r)||o&&-1<a.colorProperties.indexOf(o[1]),i=o?this.get(o[0])[o[1]]:this.get(r);"from"in n||(n.from=i),e||(t=~t.indexOf("=")?i+parseFloat(t.replace("=","")):parseFloat(t));var h={startValue:n.from,endValue:t,byValue:n.by,easing:n.easing,duration:n.duration,abort:n.abort&&function(){return n.abort.call(a)},onChange:function(t,e,i){o?a[o[0]][o[1]]=t:a.set(r,t),s||n.onChange&&n.onChange(t,e,i)},onComplete:function(t,e,i){s||(a.setCoords(),n.onComplete&&n.onComplete(t,e,i))}};e?fabric.util.animateColor(h.startValue,h.endValue,h.duration,h):fabric.util.animate(h)}}),function(t){"use strict";var s=t.fabric||(t.fabric={}),o=s.util.object.extend,r=s.util.object.clone,i={x1:1,x2:1,y1:1,y2:1},n=s.StaticCanvas.supports("setLineDash");function e(t,e){var i=t.origin,r=t.axis1,n=t.axis2,s=t.dimension,o=e.nearest,a=e.center,h=e.farthest;return function(){switch(this.get(i)){case o:return Math.min(this.get(r),this.get(n));case a:return Math.min(this.get(r),this.get(n))+.5*this.get(s);case h:return Math.max(this.get(r),this.get(n))}}}s.Line?s.warn("fabric.Line is already defined"):(s.Line=s.util.createClass(s.Object,{type:"line",x1:0,y1:0,x2:0,y2:0,cacheProperties:s.Object.prototype.cacheProperties.concat("x1","x2","y1","y2"),initialize:function(t,e){t||(t=[0,0,0,0]),this.callSuper("initialize",e),this.set("x1",t[0]),this.set("y1",t[1]),this.set("x2",t[2]),this.set("y2",t[3]),this._setWidthHeight(e)},_setWidthHeight:function(t){t||(t={}),this.width=Math.abs(this.x2-this.x1),this.height=Math.abs(this.y2-this.y1),this.left="left"in t?t.left:this._getLeftToOriginX(),this.top="top"in t?t.top:this._getTopToOriginY()},_set:function(t,e){return this.callSuper("_set",t,e),void 0!==i[t]&&this._setWidthHeight(),this},_getLeftToOriginX:e({origin:"originX",axis1:"x1",axis2:"x2",dimension:"width"},{nearest:"left",center:"center",farthest:"right"}),_getTopToOriginY:e({origin:"originY",axis1:"y1",axis2:"y2",dimension:"height"},{nearest:"top",center:"center",farthest:"bottom"}),_render:function(t){if(t.beginPath(),!this.strokeDashArray||this.strokeDashArray&&n){var e=this.calcLinePoints();t.moveTo(e.x1,e.y1),t.lineTo(e.x2,e.y2)}t.lineWidth=this.strokeWidth;var i=t.strokeStyle;t.strokeStyle=this.stroke||t.fillStyle,this.stroke&&this._renderStroke(t),t.strokeStyle=i},_renderDashedStroke:function(t){var e=this.calcLinePoints();t.beginPath(),s.util.drawDashedLine(t,e.x1,e.y1,e.x2,e.y2,this.strokeDashArray),t.closePath()},_findCenterFromElement:function(){return{x:(this.x1+this.x2)/2,y:(this.y1+this.y2)/2}},toObject:function(t){return o(this.callSuper("toObject",t),this.calcLinePoints())},_getNonTransformedDimensions:function(){var t=this.callSuper("_getNonTransformedDimensions");return"butt"===this.strokeLineCap&&(0===this.width&&(t.y-=this.strokeWidth),0===this.height&&(t.x-=this.strokeWidth)),t},calcLinePoints:function(){var t=this.x1<=this.x2?-1:1,e=this.y1<=this.y2?-1:1,i=t*this.width*.5,r=e*this.height*.5;return{x1:i,x2:t*this.width*-.5,y1:r,y2:e*this.height*-.5}},_toSVG:function(){var t=this.calcLinePoints();return["<line ","COMMON_PARTS",'x1="',t.x1,'" y1="',t.y1,'" x2="',t.x2,'" y2="',t.y2,'" />\n']}}),s.Line.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("x1 y1 x2 y2".split(" ")),s.Line.fromElement=function(t,e,i){i=i||{};var r=s.parseAttributes(t,s.Line.ATTRIBUTE_NAMES),n=[r.x1||0,r.y1||0,r.x2||0,r.y2||0];e(new s.Line(n,o(r,i)))},s.Line.fromObject=function(t,e){var i=r(t,!0);i.points=[t.x1,t.y1,t.x2,t.y2],s.Object._fromObject("Line",i,function(t){delete t.points,e&&e(t)},"points")})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var a=t.fabric||(t.fabric={}),h=Math.PI;a.Circle?a.warn("fabric.Circle is already defined."):(a.Circle=a.util.createClass(a.Object,{type:"circle",radius:0,startAngle:0,endAngle:2*h,cacheProperties:a.Object.prototype.cacheProperties.concat("radius","startAngle","endAngle"),_set:function(t,e){return this.callSuper("_set",t,e),"radius"===t&&this.setRadius(e),this},toObject:function(t){return this.callSuper("toObject",["radius","startAngle","endAngle"].concat(t))},_toSVG:function(){var t,e=(this.endAngle-this.startAngle)%(2*h);if(0===e)t=["<circle ","COMMON_PARTS",'cx="0" cy="0" ','r="',this.radius,'" />\n'];else{var i=a.util.cos(this.startAngle)*this.radius,r=a.util.sin(this.startAngle)*this.radius,n=a.util.cos(this.endAngle)*this.radius,s=a.util.sin(this.endAngle)*this.radius,o=h<e?"1":"0";t=['<path d="M '+i+" "+r," A "+this.radius+" "+this.radius," 0 ",+o+" 1"," "+n+" "+s,'" ',"COMMON_PARTS"," />\n"]}return t},_render:function(t){t.beginPath(),t.arc(0,0,this.radius,this.startAngle,this.endAngle,!1),this._renderPaintInOrder(t)},getRadiusX:function(){return this.get("radius")*this.get("scaleX")},getRadiusY:function(){return this.get("radius")*this.get("scaleY")},setRadius:function(t){return this.radius=t,this.set("width",2*t).set("height",2*t)}}),a.Circle.ATTRIBUTE_NAMES=a.SHARED_ATTRIBUTES.concat("cx cy r".split(" ")),a.Circle.fromElement=function(t,e){var i,r=a.parseAttributes(t,a.Circle.ATTRIBUTE_NAMES);if(!("radius"in(i=r)&&0<=i.radius))throw new Error("value of `r` attribute is required and can not be negative");r.left=(r.left||0)-r.radius,r.top=(r.top||0)-r.radius,e(new a.Circle(r))},a.Circle.fromObject=function(t,e){return a.Object._fromObject("Circle",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var r=t.fabric||(t.fabric={});r.Triangle?r.warn("fabric.Triangle is already defined"):(r.Triangle=r.util.createClass(r.Object,{type:"triangle",width:100,height:100,_render:function(t){var e=this.width/2,i=this.height/2;t.beginPath(),t.moveTo(-e,i),t.lineTo(0,-i),t.lineTo(e,i),t.closePath(),this._renderPaintInOrder(t)},_renderDashedStroke:function(t){var e=this.width/2,i=this.height/2;t.beginPath(),r.util.drawDashedLine(t,-e,i,0,-i,this.strokeDashArray),r.util.drawDashedLine(t,0,-i,e,i,this.strokeDashArray),r.util.drawDashedLine(t,e,i,-e,i,this.strokeDashArray),t.closePath()},_toSVG:function(){var t=this.width/2,e=this.height/2;return["<polygon ","COMMON_PARTS",'points="',[-t+" "+e,"0 "+-e,t+" "+e].join(","),'" />']}}),r.Triangle.fromObject=function(t,e){return r.Object._fromObject("Triangle",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var r=t.fabric||(t.fabric={}),e=2*Math.PI;r.Ellipse?r.warn("fabric.Ellipse is already defined."):(r.Ellipse=r.util.createClass(r.Object,{type:"ellipse",rx:0,ry:0,cacheProperties:r.Object.prototype.cacheProperties.concat("rx","ry"),initialize:function(t){this.callSuper("initialize",t),this.set("rx",t&&t.rx||0),this.set("ry",t&&t.ry||0)},_set:function(t,e){switch(this.callSuper("_set",t,e),t){case"rx":this.rx=e,this.set("width",2*e);break;case"ry":this.ry=e,this.set("height",2*e)}return this},getRx:function(){return this.get("rx")*this.get("scaleX")},getRy:function(){return this.get("ry")*this.get("scaleY")},toObject:function(t){return this.callSuper("toObject",["rx","ry"].concat(t))},_toSVG:function(){return["<ellipse ","COMMON_PARTS",'cx="0" cy="0" ','rx="',this.rx,'" ry="',this.ry,'" />\n']},_render:function(t){t.beginPath(),t.save(),t.transform(1,0,0,this.ry/this.rx,0,0),t.arc(0,0,this.rx,0,e,!1),t.restore(),this._renderPaintInOrder(t)}}),r.Ellipse.ATTRIBUTE_NAMES=r.SHARED_ATTRIBUTES.concat("cx cy rx ry".split(" ")),r.Ellipse.fromElement=function(t,e){var i=r.parseAttributes(t,r.Ellipse.ATTRIBUTE_NAMES);i.left=(i.left||0)-i.rx,i.top=(i.top||0)-i.ry,e(new r.Ellipse(i))},r.Ellipse.fromObject=function(t,e){return r.Object._fromObject("Ellipse",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var s=t.fabric||(t.fabric={}),o=s.util.object.extend;s.Rect?s.warn("fabric.Rect is already defined"):(s.Rect=s.util.createClass(s.Object,{stateProperties:s.Object.prototype.stateProperties.concat("rx","ry"),type:"rect",rx:0,ry:0,cacheProperties:s.Object.prototype.cacheProperties.concat("rx","ry"),initialize:function(t){this.callSuper("initialize",t),this._initRxRy()},_initRxRy:function(){this.rx&&!this.ry?this.ry=this.rx:this.ry&&!this.rx&&(this.rx=this.ry)},_render:function(t){var e=this.rx?Math.min(this.rx,this.width/2):0,i=this.ry?Math.min(this.ry,this.height/2):0,r=this.width,n=this.height,s=-this.width/2,o=-this.height/2,a=0!==e||0!==i,h=.4477152502;t.beginPath(),t.moveTo(s+e,o),t.lineTo(s+r-e,o),a&&t.bezierCurveTo(s+r-h*e,o,s+r,o+h*i,s+r,o+i),t.lineTo(s+r,o+n-i),a&&t.bezierCurveTo(s+r,o+n-h*i,s+r-h*e,o+n,s+r-e,o+n),t.lineTo(s+e,o+n),a&&t.bezierCurveTo(s+h*e,o+n,s,o+n-h*i,s,o+n-i),t.lineTo(s,o+i),a&&t.bezierCurveTo(s,o+h*i,s+h*e,o,s+e,o),t.closePath(),this._renderPaintInOrder(t)},_renderDashedStroke:function(t){var e=-this.width/2,i=-this.height/2,r=this.width,n=this.height;t.beginPath(),s.util.drawDashedLine(t,e,i,e+r,i,this.strokeDashArray),s.util.drawDashedLine(t,e+r,i,e+r,i+n,this.strokeDashArray),s.util.drawDashedLine(t,e+r,i+n,e,i+n,this.strokeDashArray),s.util.drawDashedLine(t,e,i+n,e,i,this.strokeDashArray),t.closePath()},toObject:function(t){return this.callSuper("toObject",["rx","ry"].concat(t))},_toSVG:function(){return["<rect ","COMMON_PARTS",'x="',-this.width/2,'" y="',-this.height/2,'" rx="',this.rx,'" ry="',this.ry,'" width="',this.width,'" height="',this.height,'" />\n']}}),s.Rect.ATTRIBUTE_NAMES=s.SHARED_ATTRIBUTES.concat("x y rx ry width height".split(" ")),s.Rect.fromElement=function(t,e,i){if(!t)return e(null);i=i||{};var r=s.parseAttributes(t,s.Rect.ATTRIBUTE_NAMES);r.left=r.left||0,r.top=r.top||0,r.height=r.height||0,r.width=r.width||0;var n=new s.Rect(o(i?s.util.object.clone(i):{},r));n.visible=n.visible&&0<n.width&&0<n.height,e(n)},s.Rect.fromObject=function(t,e){return s.Object._fromObject("Rect",t,e)})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var o=t.fabric||(t.fabric={}),a=o.util.object.extend,r=o.util.array.min,n=o.util.array.max,h=o.util.toFixed;o.Polyline?o.warn("fabric.Polyline is already defined"):(o.Polyline=o.util.createClass(o.Object,{type:"polyline",points:null,cacheProperties:o.Object.prototype.cacheProperties.concat("points"),initialize:function(t,e){e=e||{},this.points=t||[],this.callSuper("initialize",e),this._setPositionDimensions(e)},_setPositionDimensions:function(t){var e,i=this._calcDimensions(t);this.width=i.width,this.height=i.height,t.fromSVG||(e=this.translateToGivenOrigin({x:i.left-this.strokeWidth/2,y:i.top-this.strokeWidth/2},"left","top",this.originX,this.originY)),void 0===t.left&&(this.left=t.fromSVG?i.left:e.x),void 0===t.top&&(this.top=t.fromSVG?i.top:e.y),this.pathOffset={x:i.left+this.width/2,y:i.top+this.height/2}},_calcDimensions:function(){var t=this.points,e=r(t,"x")||0,i=r(t,"y")||0;return{left:e,top:i,width:(n(t,"x")||0)-e,height:(n(t,"y")||0)-i}},toObject:function(t){return a(this.callSuper("toObject",t),{points:this.points.concat()})},_toSVG:function(){for(var t=[],e=this.pathOffset.x,i=this.pathOffset.y,r=o.Object.NUM_FRACTION_DIGITS,n=0,s=this.points.length;n<s;n++)t.push(h(this.points[n].x-e,r),",",h(this.points[n].y-i,r)," ");return["<"+this.type+" ","COMMON_PARTS",'points="',t.join(""),'" />\n']},commonRender:function(t){var e,i=this.points.length,r=this.pathOffset.x,n=this.pathOffset.y;if(!i||isNaN(this.points[i-1].y))return!1;t.beginPath(),t.moveTo(this.points[0].x-r,this.points[0].y-n);for(var s=0;s<i;s++)e=this.points[s],t.lineTo(e.x-r,e.y-n);return!0},_render:function(t){this.commonRender(t)&&this._renderPaintInOrder(t)},_renderDashedStroke:function(t){var e,i;t.beginPath();for(var r=0,n=this.points.length;r<n;r++)e=this.points[r],i=this.points[r+1]||e,o.util.drawDashedLine(t,e.x,e.y,i.x,i.y,this.strokeDashArray)},complexity:function(){return this.get("points").length}}),o.Polyline.ATTRIBUTE_NAMES=o.SHARED_ATTRIBUTES.concat(),o.Polyline.fromElementGenerator=function(s){return function(t,e,i){if(!t)return e(null);i||(i={});var r=o.parsePointsAttribute(t.getAttribute("points")),n=o.parseAttributes(t,o[s].ATTRIBUTE_NAMES);n.fromSVG=!0,e(new o[s](r,a(n,i)))}},o.Polyline.fromElement=o.Polyline.fromElementGenerator("Polyline"),o.Polyline.fromObject=function(t,e){return o.Object._fromObject("Polyline",t,e,"points")})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var i=t.fabric||(t.fabric={});i.Polygon?i.warn("fabric.Polygon is already defined"):(i.Polygon=i.util.createClass(i.Polyline,{type:"polygon",_render:function(t){this.commonRender(t)&&(t.closePath(),this._renderPaintInOrder(t))},_renderDashedStroke:function(t){this.callSuper("_renderDashedStroke",t),t.closePath()}}),i.Polygon.ATTRIBUTE_NAMES=i.SHARED_ATTRIBUTES.concat(),i.Polygon.fromElement=i.Polyline.fromElementGenerator("Polygon"),i.Polygon.fromObject=function(t,e){return i.Object._fromObject("Polygon",t,e,"points")})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var f=t.fabric||(t.fabric={}),d=f.util.array.min,g=f.util.array.max,n=f.util.object.extend,r=Object.prototype.toString,e=f.util.toFixed;f.Path?f.warn("fabric.Path is already defined"):(f.Path=f.util.createClass(f.Object,{type:"path",path:null,cacheProperties:f.Object.prototype.cacheProperties.concat("path","fillRule"),stateProperties:f.Object.prototype.stateProperties.concat("path"),initialize:function(t,e){e=e||{},this.callSuper("initialize",e),t||(t=[]);var i="[object Array]"===r.call(t);this.path=i?f.util.makePathSimpler(t):f.util.makePathSimpler(f.util.parsePath(t)),this.path&&f.Polyline.prototype._setPositionDimensions.call(this,e)},_renderPathCommands:function(t){var e,i=0,r=0,n=0,s=0,o=0,a=0,h=-this.pathOffset.x,c=-this.pathOffset.y;t.beginPath();for(var l=0,u=this.path.length;l<u;++l)switch((e=this.path[l])[0]){case"L":n=e[1],s=e[2],t.lineTo(n+h,s+c);break;case"M":i=n=e[1],r=s=e[2],t.moveTo(n+h,s+c);break;case"C":n=e[5],s=e[6],o=e[3],a=e[4],t.bezierCurveTo(e[1]+h,e[2]+c,o+h,a+c,n+h,s+c);break;case"Q":t.quadraticCurveTo(e[1]+h,e[2]+c,e[3]+h,e[4]+c),n=e[3],s=e[4],o=e[1],a=e[2];break;case"z":case"Z":n=i,s=r,t.closePath()}},_render:function(t){this._renderPathCommands(t),this._renderPaintInOrder(t)},toString:function(){return"#<fabric.Path ("+this.complexity()+'): { "top": '+this.top+', "left": '+this.left+" }>"},toObject:function(t){return n(this.callSuper("toObject",t),{path:this.path.map(function(t){return t.slice()})})},toDatalessObject:function(t){var e=this.toObject(["sourcePath"].concat(t));return e.sourcePath&&delete e.path,e},_toSVG:function(){return["<path ","COMMON_PARTS",'d="',this.path.map(function(t){return t.join(" ")}).join(" "),'" stroke-linecap="round" ',"/>\n"]},_getOffsetTransform:function(){var t=f.Object.NUM_FRACTION_DIGITS;return" translate("+e(-this.pathOffset.x,t)+", "+e(-this.pathOffset.y,t)+")"},toClipPathSVG:function(t){var e=this._getOffsetTransform();return"\t"+this._createBaseClipPathSVGMarkup(this._toSVG(),{reviver:t,additionalTransform:e})},toSVG:function(t){var e=this._getOffsetTransform();return this._createBaseSVGMarkup(this._toSVG(),{reviver:t,additionalTransform:e})},complexity:function(){return this.path.length},_calcDimensions:function(){for(var t,e,i=[],r=[],n=0,s=0,o=0,a=0,h=0,c=this.path.length;h<c;++h){switch((t=this.path[h])[0]){case"L":o=t[1],a=t[2],e=[];break;case"M":n=o=t[1],s=a=t[2],e=[];break;case"C":e=f.util.getBoundsOfCurve(o,a,t[1],t[2],t[3],t[4],t[5],t[6]),o=t[5],a=t[6];break;case"Q":e=f.util.getBoundsOfCurve(o,a,t[1],t[2],t[1],t[2],t[3],t[4]),o=t[3],a=t[4];break;case"z":case"Z":o=n,a=s}e.forEach(function(t){i.push(t.x),r.push(t.y)}),i.push(o),r.push(a)}var l=d(i)||0,u=d(r)||0;return{left:l,top:u,width:(g(i)||0)-l,height:(g(r)||0)-u}}}),f.Path.fromObject=function(i,r){if("string"==typeof i.sourcePath){var t=i.sourcePath;f.loadSVGFromURL(t,function(t){var e=t[0];e.setOptions(i),r&&r(e)})}else f.Object._fromObject("Path",i,r,"path")},f.Path.ATTRIBUTE_NAMES=f.SHARED_ATTRIBUTES.concat(["d"]),f.Path.fromElement=function(t,e,i){var r=f.parseAttributes(t,f.Path.ATTRIBUTE_NAMES);r.fromSVG=!0,e(new f.Path(r.d,n(r,i)))})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var c=t.fabric||(t.fabric={}),l=c.util.array.min,u=c.util.array.max;c.Group||(c.Group=c.util.createClass(c.Object,c.Collection,{type:"group",strokeWidth:0,subTargetCheck:!1,cacheProperties:[],useSetOnGroup:!1,initialize:function(t,e,i){e=e||{},this._objects=[],i&&this.callSuper("initialize",e),this._objects=t||[];for(var r=this._objects.length;r--;)this._objects[r].group=this;if(i)this._updateObjectsACoords();else{var n=e&&e.centerPoint;void 0!==e.originX&&(this.originX=e.originX),void 0!==e.originY&&(this.originY=e.originY),n||this._calcBounds(),this._updateObjectsCoords(n),delete e.centerPoint,this.callSuper("initialize",e)}this.setCoords()},_updateObjectsACoords:function(){for(var t=this._objects.length;t--;)this._objects[t].setCoords(!0)},_updateObjectsCoords:function(t){t=t||this.getCenterPoint();for(var e=this._objects.length;e--;)this._updateObjectCoords(this._objects[e],t)},_updateObjectCoords:function(t,e){var i=t.left,r=t.top;t.set({left:i-e.x,top:r-e.y}),t.group=this,t.setCoords(!0)},toString:function(){return"#<fabric.Group: ("+this.complexity()+")>"},addWithUpdate:function(t){return this._restoreObjectsState(),c.util.resetObjectTransform(this),t&&(this._objects.push(t),t.group=this,t._set("canvas",this.canvas)),this._calcBounds(),this._updateObjectsCoords(),this.setCoords(),this.dirty=!0,this},removeWithUpdate:function(t){return this._restoreObjectsState(),c.util.resetObjectTransform(this),this.remove(t),this._calcBounds(),this._updateObjectsCoords(),this.setCoords(),this.dirty=!0,this},_onObjectAdded:function(t){this.dirty=!0,t.group=this,t._set("canvas",this.canvas)},_onObjectRemoved:function(t){this.dirty=!0,delete t.group},_set:function(t,e){var i=this._objects.length;if(this.useSetOnGroup)for(;i--;)this._objects[i].setOnGroup(t,e);if("canvas"===t)for(;i--;)this._objects[i]._set(t,e);c.Object.prototype._set.call(this,t,e)},toObject:function(r){var n=this.includeDefaultValues,t=this._objects.map(function(t){var e=t.includeDefaultValues;t.includeDefaultValues=n;var i=t.toObject(r);return t.includeDefaultValues=e,i}),e=c.Object.prototype.toObject.call(this,r);return e.objects=t,e},toDatalessObject:function(r){var t,e=this.sourcePath;if(e)t=e;else{var n=this.includeDefaultValues;t=this._objects.map(function(t){var e=t.includeDefaultValues;t.includeDefaultValues=n;var i=t.toDatalessObject(r);return t.includeDefaultValues=e,i})}var i=c.Object.prototype.toDatalessObject.call(this,r);return i.objects=t,i},render:function(t){this._transformDone=!0,this.callSuper("render",t),this._transformDone=!1},shouldCache:function(){var t=c.Object.prototype.shouldCache.call(this);if(t)for(var e=0,i=this._objects.length;e<i;e++)if(this._objects[e].willDrawShadow())return this.ownCaching=!1;return t},willDrawShadow:function(){if(c.Object.prototype.willDrawShadow.call(this))return!0;for(var t=0,e=this._objects.length;t<e;t++)if(this._objects[t].willDrawShadow())return!0;return!1},isOnACache:function(){return this.ownCaching||this.group&&this.group.isOnACache()},drawObject:function(t){for(var e=0,i=this._objects.length;e<i;e++)this._objects[e].render(t);this._drawClipPath(t)},isCacheDirty:function(t){if(this.callSuper("isCacheDirty",t))return!0;if(!this.statefullCache)return!1;for(var e=0,i=this._objects.length;e<i;e++)if(this._objects[e].isCacheDirty(!0)){if(this._cacheCanvas){var r=this.cacheWidth/this.zoomX,n=this.cacheHeight/this.zoomY;this._cacheContext.clearRect(-r/2,-n/2,r,n)}return!0}return!1},_restoreObjectsState:function(){return this._objects.forEach(this._restoreObjectState,this),this},realizeTransform:function(t){var e=t.calcTransformMatrix(),i=c.util.qrDecompose(e),r=new c.Point(i.translateX,i.translateY);return t.flipX=!1,t.flipY=!1,t.set("scaleX",i.scaleX),t.set("scaleY",i.scaleY),t.skewX=i.skewX,t.skewY=i.skewY,t.angle=i.angle,t.setPositionByOrigin(r,"center","center"),t},_restoreObjectState:function(t){return this.realizeTransform(t),delete t.group,t.setCoords(),this},destroy:function(){return this._objects.forEach(function(t){t.set("dirty",!0)}),this._restoreObjectsState()},toActiveSelection:function(){if(this.canvas){var t=this._objects,e=this.canvas;this._objects=[];var i=this.toObject();delete i.objects;var r=new c.ActiveSelection([]);return r.set(i),r.type="activeSelection",e.remove(this),t.forEach(function(t){t.group=r,t.dirty=!0,e.add(t)}),r.canvas=e,r._objects=t,(e._activeObject=r).setCoords(),r}},ungroupOnCanvas:function(){return this._restoreObjectsState()},setObjectsCoords:function(){return this.forEachObject(function(t){t.setCoords(!0)}),this},_calcBounds:function(t){for(var e,i,r,n=[],s=[],o=["tr","br","bl","tl"],a=0,h=this._objects.length,c=o.length;a<h;++a)for((e=this._objects[a]).aCoords=e.calcACoords(),r=0;r<c;r++)i=o[r],n.push(e.aCoords[i].x),s.push(e.aCoords[i].y);this._getBounds(n,s,t)},_getBounds:function(t,e,i){var r=new c.Point(l(t),l(e)),n=new c.Point(u(t),u(e)),s=r.y||0,o=r.x||0,a=n.x-r.x||0,h=n.y-r.y||0;this.width=a,this.height=h,i||this.setPositionByOrigin({x:o,y:s},"left","top")},_toSVG:function(t){for(var e=["<g ","COMMON_PARTS"," >\n"],i=0,r=this._objects.length;i<r;i++)e.push("\t\t",this._objects[i].toSVG(t));return e.push("</g>\n"),e},getSvgStyles:function(){var t=void 0!==this.opacity&&1!==this.opacity?"opacity: "+this.opacity+";":"",e=this.visible?"":" visibility: hidden;";return[t,this.getSvgFilter(),e].join("")},toClipPathSVG:function(t){for(var e=[],i=0,r=this._objects.length;i<r;i++)e.push("\t",this._objects[i].toClipPathSVG(t));return this._createBaseClipPathSVGMarkup(e,{reviver:t})}}),c.Group.fromObject=function(r,n){var i=r.objects,s=c.util.object.clone(r,!0);delete s.objects,"string"!=typeof i?c.util.enlivenObjects(i,function(i){c.util.enlivenObjects([r.clipPath],function(t){var e=c.util.object.clone(r,!0);e.clipPath=t[0],delete e.objects,n&&n(new c.Group(i,e,!0))})}):c.loadSVGFromURL(i,function(t){var e=c.util.groupSVGElements(t,r,i);e.set(s),n&&n(e)})})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var n=t.fabric||(t.fabric={});n.ActiveSelection||(n.ActiveSelection=n.util.createClass(n.Group,{type:"activeSelection",initialize:function(t,e){e=e||{},this._objects=t||[];for(var i=this._objects.length;i--;)this._objects[i].group=this;e.originX&&(this.originX=e.originX),e.originY&&(this.originY=e.originY),this._calcBounds(),this._updateObjectsCoords(),n.Object.prototype.initialize.call(this,e),this.setCoords()},toGroup:function(){var t=this._objects.concat();this._objects=[];var e=n.Object.prototype.toObject.call(this),i=new n.Group([]);if(delete e.type,i.set(e),t.forEach(function(t){t.canvas.remove(t),t.group=i}),i._objects=t,!this.canvas)return i;var r=this.canvas;return r.add(i),(r._activeObject=i).setCoords(),i},onDeselect:function(){return this.destroy(),!1},toString:function(){return"#<fabric.ActiveSelection: ("+this.complexity()+")>"},shouldCache:function(){return!1},isOnACache:function(){return!1},_renderControls:function(t,e,i){t.save(),t.globalAlpha=this.isMoving?this.borderOpacityWhenMoving:1,this.callSuper("_renderControls",t,e),void 0===(i=i||{}).hasControls&&(i.hasControls=!1),i.forActiveSelection=!0;for(var r=0,n=this._objects.length;r<n;r++)this._objects[r]._renderControls(t,i);t.restore()}}),n.ActiveSelection.fromObject=function(e,i){n.util.enlivenObjects(e.objects,function(t){delete e.objects,i&&i(new n.ActiveSelection(t,e,!0))})})}("undefined"!=typeof exports?exports:this),function(t){"use strict";var n=fabric.util.object.extend;t.fabric||(t.fabric={}),t.fabric.Image?fabric.warn("fabric.Image is already defined."):(fabric.Image=fabric.util.createClass(fabric.Object,{type:"image",strokeWidth:0,srcFromAttribute:!1,_lastScaleX:1,_lastScaleY:1,_filterScalingX:1,_filterScalingY:1,minimumScaleTrigger:.5,stateProperties:fabric.Object.prototype.stateProperties.concat("cropX","cropY"),cacheKey:"",cropX:0,cropY:0,imageSmoothing:!0,initialize:function(t,e){e||(e={}),this.filters=[],this.cacheKey="texture"+fabric.Object.__uid++,this.callSuper("initialize",e),this._initElement(t,e)},getElement:function(){return this._element||{}},setElement:function(t,e){return this.removeTexture(this.cacheKey),this.removeTexture(this.cacheKey+"_filtered"),this._element=t,this._originalElement=t,this._initConfig(e),0!==this.filters.length&&this.applyFilters(),this.resizeFilter&&this.applyResizeFilters(),this},removeTexture:function(t){var e=fabric.filterBackend;e&&e.evictCachesForKey&&e.evictCachesForKey(t)},dispose:function(){this.removeTexture(this.cacheKey),this.removeTexture(this.cacheKey+"_filtered"),this._cacheContext=void 0,["_originalElement","_element","_filteredEl","_cacheCanvas"].forEach(function(t){fabric.util.cleanUpJsdomNode(this[t]),this[t]=void 0}.bind(this))},getCrossOrigin:function(){return this._originalElement&&(this._originalElement.crossOrigin||null)},getOriginalSize:function(){var t=this.getElement();return{width:t.naturalWidth||t.width,height:t.naturalHeight||t.height}},_stroke:function(t){if(this.stroke&&0!==this.strokeWidth){var e=this.width/2,i=this.height/2;t.beginPath(),t.moveTo(-e,-i),t.lineTo(e,-i),t.lineTo(e,i),t.lineTo(-e,i),t.lineTo(-e,-i),t.closePath()}},_renderDashedStroke:function(t){var e=-this.width/2,i=-this.height/2,r=this.width,n=this.height;t.save(),this._setStrokeStyles(t,this),t.beginPath(),fabric.util.drawDashedLine(t,e,i,e+r,i,this.strokeDashArray),fabric.util.drawDashedLine(t,e+r,i,e+r,i+n,this.strokeDashArray),fabric.util.drawDashedLine(t,e+r,i+n,e,i+n,this.strokeDashArray),fabric.util.drawDashedLine(t,e,i+n,e,i,this.strokeDashArray),t.closePath(),t.restore()},toObject:function(t){var e=[];this.filters.forEach(function(t){t&&e.push(t.toObject())});var i=n(this.callSuper("toObject",["cropX","cropY"].concat(t)),{src:this.getSrc(),crossOrigin:this.getCrossOrigin(),filters:e});return this.resizeFilter&&(i.resizeFilter=this.resizeFilter.toObject()),i},hasCrop:function(){return this.cropX||this.cropY||this.width<this._element.width||this.height<this._element.height},_toSVG:function(){var t,e=[],i=[],r=this._element,n=-this.width/2,s=-this.height/2,o="",a="";if(!r)return[];if(this.hasCrop()){var h=fabric.Object.__uid++;e.push('<clipPath id="imageCrop_'+h+'">\n','\t<rect x="'+n+'" y="'+s+'" width="'+this.width+'" height="'+this.height+'" />\n',"</clipPath>\n"),o=' clip-path="url(#imageCrop_'+h+')" '}if(this.imageSmoothing||(a='" image-rendering="optimizeSpeed'),i.push("\t<image ","COMMON_PARTS",'xlink:href="',this.getSvgSrc(!0),'" x="',n-this.cropX,'" y="',s-this.cropY,'" width="',r.width||r.naturalWidth,'" height="',r.height||r.height,a,'"',o,"></image>\n"),this.stroke||this.strokeDashArray){var c=this.fill;this.fill=null,t=["\t<rect ",'x="',n,'" y="',s,'" width="',this.width,'" height="',this.height,'" style="',this.getSvgStyles(),'"/>\n'],this.fill=c}return e="fill"!==this.paintFirst?e.concat(t,i):e.concat(i,t)},getSrc:function(t){var e=t?this._element:this._originalElement;return e?e.toDataURL?e.toDataURL():this.srcFromAttribute?e.getAttribute("src"):e.src:this.src||""},setSrc:function(t,i,r){return fabric.util.loadImage(t,function(t,e){this.setElement(t,r),this._setWidthHeight(),i&&i(this,e)},this,r&&r.crossOrigin),this},toString:function(){return'#<fabric.Image: { src: "'+this.getSrc()+'" }>'},applyResizeFilters:function(){var t=this.resizeFilter,e=this.minimumScaleTrigger,i=this.getTotalObjectScaling(),r=i.scaleX,n=i.scaleY,s=this._filteredEl||this._originalElement;if(this.group&&this.set("dirty",!0),!t||e<r&&e<n)return this._element=s,this._filterScalingX=1,this._filterScalingY=1,this._lastScaleX=r,void(this._lastScaleY=n);fabric.filterBackend||(fabric.filterBackend=fabric.initFilterBackend());var o=fabric.util.createCanvasElement(),a=this._filteredEl?this.cacheKey+"_filtered":this.cacheKey,h=s.width,c=s.height;o.width=h,o.height=c,this._element=o,this._lastScaleX=t.scaleX=r,this._lastScaleY=t.scaleY=n,fabric.filterBackend.applyFilters([t],s,h,c,this._element,a),this._filterScalingX=o.width/this._originalElement.width,this._filterScalingY=o.height/this._originalElement.height},applyFilters:function(t){if(t=(t=t||this.filters||[]).filter(function(t){return t&&!t.isNeutralState()}),this.set("dirty",!0),this.removeTexture(this.cacheKey+"_filtered"),0===t.length)return this._element=this._originalElement,this._filteredEl=null,this._filterScalingX=1,this._filterScalingY=1,this;var e=this._originalElement,i=e.naturalWidth||e.width,r=e.naturalHeight||e.height;if(this._element===this._originalElement){var n=fabric.util.createCanvasElement();n.width=i,n.height=r,this._element=n,this._filteredEl=n}else this._element=this._filteredEl,this._filteredEl.getContext("2d").clearRect(0,0,i,r),this._lastScaleX=1,this._lastScaleY=1;return fabric.filterBackend||(fabric.filterBackend=fabric.initFilterBackend()),fabric.filterBackend.applyFilters(t,this._originalElement,i,r,this._element,this.cacheKey),this._originalElement.width===this._element.width&&this._originalElement.height===this._element.height||(this._filterScalingX=this._element.width/this._originalElement.width,this._filterScalingY=this._element.height/this._originalElement.height),this},_render:function(t){fabric.util.setImageSmoothing(t,this.imageSmoothing),!0!==this.isMoving&&this.resizeFilter&&this._needsResize()&&this.applyResizeFilters(),this._stroke(t),this._renderPaintInOrder(t)},drawCacheOnCanvas:function(t){fabric.util.setImageSmoothing(t,this.imageSmoothing),fabric.Object.prototype.drawCacheOnCanvas.call(this,t)},shouldCache:function(){return this.needsItsOwnCache()},_renderFill:function(t){var e=this._element;if(e){var i=this._filterScalingX,r=this._filterScalingY,n=this.width,s=this.height,o=Math.min,a=Math.max,h=a(this.cropX,0),c=a(this.cropY,0),l=e.naturalWidth||e.width,u=e.naturalHeight||e.height,f=h*i,d=c*r,g=o(n*i,l-f),p=o(s*r,u-d),v=-n/2,m=-s/2,b=o(n,l/i-h),y=o(s,u/i-c);e&&t.drawImage(e,f,d,g,p,v,m,b,y)}},_needsResize:function(){var t=this.getTotalObjectScaling();return t.scaleX!==this._lastScaleX||t.scaleY!==this._lastScaleY},_resetWidthHeight:function(){this.set(this.getOriginalSize())},_initElement:function(t,e){this.setElement(fabric.util.getById(t),e),fabric.util.addClass(this.getElement(),fabric.Image.CSS_CANVAS)},_initConfig:function(t){t||(t={}),this.setOptions(t),this._setWidthHeight(t)},_initFilters:function(t,e){t&&t.length?fabric.util.enlivenObjects(t,function(t){e&&e(t)},"fabric.Image.filters"):e&&e()},_setWidthHeight:function(t){t||(t={});var e=this.getElement();this.width=t.width||e.naturalWidth||e.width||0,this.height=t.height||e.naturalHeight||e.height||0},parsePreserveAspectRatioAttribute:function(){var t,e=fabric.util.parsePreserveAspectRatioAttribute(this.preserveAspectRatio||""),i=this._element.width,r=this._element.height,n=1,s=1,o=0,a=0,h=0,c=0,l=this.width,u=this.height,f={width:l,height:u};return!e||"none"===e.alignX&&"none"===e.alignY?(n=l/i,s=u/r):("meet"===e.meetOrSlice&&(t=(l-i*(n=s=fabric.util.findScaleToFit(this._element,f)))/2,"Min"===e.alignX&&(o=-t),"Max"===e.alignX&&(o=t),t=(u-r*s)/2,"Min"===e.alignY&&(a=-t),"Max"===e.alignY&&(a=t)),"slice"===e.meetOrSlice&&(t=i-l/(n=s=fabric.util.findScaleToCover(this._element,f)),"Mid"===e.alignX&&(h=t/2),"Max"===e.alignX&&(h=t),t=r-u/s,"Mid"===e.alignY&&(c=t/2),"Max"===e.alignY&&(c=t),i=l/n,r=u/s)),{width:i,height:r,scaleX:n,scaleY:s,offsetLeft:o,offsetTop:a,cropX:h,cropY:c}}}),fabric.Image.CSS_CANVAS="canvas-img",fabric.Image.prototype.getSvgSrc=fabric.Image.prototype.getSrc,fabric.Image.fromObject=function(t,r){var n=fabric.util.object.clone(t);fabric.util.loadImage(n.src,function(i,t){t?r&&r(null,!0):fabric.Image.prototype._initFilters.call(n,n.filters,function(t){n.filters=t||[],fabric.Image.prototype._initFilters.call(n,[n.resizeFilter],function(t){n.resizeFilter=t[0],fabric.util.enlivenObjects([n.clipPath],function(t){n.clipPath=t[0];var e=new fabric.Image(i,n);r(e,!1)})})})},null,n.crossOrigin)},fabric.Image.fromURL=function(t,i,r){fabric.util.loadImage(t,function(t,e){i&&i(new fabric.Image(t,r),e)},null,r&&r.crossOrigin)},fabric.Image.ATTRIBUTE_NAMES=fabric.SHARED_ATTRIBUTES.concat("x y width height preserveAspectRatio xlink:href crossOrigin image-rendering".split(" ")),fabric.Image.fromElement=function(t,e,i){var r=fabric.parseAttributes(t,fabric.Image.ATTRIBUTE_NAMES);fabric.Image.fromURL(r["xlink:href"],e,n(i?fabric.util.object.clone(i):{},r))})}("undefined"!=typeof exports?exports:this),fabric.util.object.extend(fabric.Object.prototype,{_getAngleValueForStraighten:function(){var t=this.angle%360;return 0<t?90*Math.round((t-1)/90):90*Math.round(t/90)},straighten:function(){return this.rotate(this._getAngleValueForStraighten()),this},fxStraighten:function(t){var e=function(){},i=(t=t||{}).onComplete||e,r=t.onChange||e,n=this;return fabric.util.animate({startValue:this.get("angle"),endValue:this._getAngleValueForStraighten(),duration:this.FX_DURATION,onChange:function(t){n.rotate(t),r()},onComplete:function(){n.setCoords(),i()}}),this}}),fabric.util.object.extend(fabric.StaticCanvas.prototype,{straightenObject:function(t){return t.straighten(),this.requestRenderAll(),this},fxStraightenObject:function(t){return t.fxStraighten({onChange:this.requestRenderAllBound}),this}}),function(){"use strict";function t(t){t&&t.tileSize&&(this.tileSize=t.tileSize),this.setupGLContext(this.tileSize,this.tileSize),this.captureGPUInfo()}fabric.isWebglSupported=function(t){if(fabric.isLikelyNode)return!1;t=t||fabric.WebglFilterBackend.prototype.tileSize;var e,i,r,n=document.createElement("canvas"),s=n.getContext("webgl")||n.getContext("experimental-webgl"),o=!1;if(s){fabric.maxTextureSize=s.getParameter(s.MAX_TEXTURE_SIZE),o=fabric.maxTextureSize>=t;for(var a=["highp","mediump","lowp"],h=0;h<3;h++)if(void 0,i="precision "+a[h]+" float;\nvoid main(){}",r=(e=s).createShader(e.FRAGMENT_SHADER),e.shaderSource(r,i),e.compileShader(r),e.getShaderParameter(r,e.COMPILE_STATUS)){fabric.webGlPrecision=a[h];break}}return this.isSupported=o},(fabric.WebglFilterBackend=t).prototype={tileSize:2048,resources:{},setupGLContext:function(t,e){this.dispose(),this.createWebGLCanvas(t,e),this.aPosition=new Float32Array([0,0,0,1,1,0,1,1]),this.chooseFastestCopyGLTo2DMethod(t,e)},chooseFastestCopyGLTo2DMethod:function(t,e){var i,r=void 0!==window.performance;try{new ImageData(1,1),i=!0}catch(t){i=!1}var n="undefined"!=typeof ArrayBuffer,s="undefined"!=typeof Uint8ClampedArray;if(r&&i&&n&&s){var o=fabric.util.createCanvasElement(),a=new ArrayBuffer(t*e*4);if(fabric.forceGLPutImageData)return this.imageBuffer=a,void(this.copyGLTo2D=copyGLTo2DPutImageData);var h,c,l={imageBuffer:a,destinationWidth:t,destinationHeight:e,targetCanvas:o};o.width=t,o.height=e,h=window.performance.now(),copyGLTo2DDrawImage.call(l,this.gl,l),c=window.performance.now()-h,h=window.performance.now(),copyGLTo2DPutImageData.call(l,this.gl,l),window.performance.now()-h<c?(this.imageBuffer=a,this.copyGLTo2D=copyGLTo2DPutImageData):this.copyGLTo2D=copyGLTo2DDrawImage}},createWebGLCanvas:function(t,e){var i=fabric.util.createCanvasElement();i.width=t,i.height=e;var r={alpha:!0,premultipliedAlpha:!1,depth:!1,stencil:!1,antialias:!1},n=i.getContext("webgl",r);n||(n=i.getContext("experimental-webgl",r)),n&&(n.clearColor(0,0,0,0),this.canvas=i,this.gl=n)},applyFilters:function(t,e,i,r,n,s){var o,a=this.gl;s&&(o=this.getCachedTexture(s,e));var h={originalWidth:e.width||e.originalWidth,originalHeight:e.height||e.originalHeight,sourceWidth:i,sourceHeight:r,destinationWidth:i,destinationHeight:r,context:a,sourceTexture:this.createTexture(a,i,r,!o&&e),targetTexture:this.createTexture(a,i,r),originalTexture:o||this.createTexture(a,i,r,!o&&e),passes:t.length,webgl:!0,aPosition:this.aPosition,programCache:this.programCache,pass:0,filterBackend:this,targetCanvas:n},c=a.createFramebuffer();return a.bindFramebuffer(a.FRAMEBUFFER,c),t.forEach(function(t){t&&t.applyTo(h)}),resizeCanvasIfNeeded(h),this.copyGLTo2D(a,h),a.bindTexture(a.TEXTURE_2D,null),a.deleteTexture(h.sourceTexture),a.deleteTexture(h.targetTexture),a.deleteFramebuffer(c),n.getContext("2d").setTransform(1,0,0,1,0,0),h},dispose:function(){this.canvas&&(this.canvas=null,this.gl=null),this.clearWebGLCaches()},clearWebGLCaches:function(){this.programCache={},this.textureCache={}},createTexture:function(t,e,i,r){var n=t.createTexture();return t.bindTexture(t.TEXTURE_2D,n),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),r?t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,r):t.texImage2D(t.TEXTURE_2D,0,t.RGBA,e,i,0,t.RGBA,t.UNSIGNED_BYTE,null),n},getCachedTexture:function(t,e){if(this.textureCache[t])return this.textureCache[t];var i=this.createTexture(this.gl,e.width,e.height,e);return this.textureCache[t]=i},evictCachesForKey:function(t){this.textureCache[t]&&(this.gl.deleteTexture(this.textureCache[t]),delete this.textureCache[t])},copyGLTo2D:copyGLTo2DDrawImage,captureGPUInfo:function(){if(this.gpuInfo)return this.gpuInfo;var t=this.gl,e={renderer:"",vendor:""};if(!t)return e;var i=t.getExtension("WEBGL_debug_renderer_info");if(i){var r=t.getParameter(i.UNMASKED_RENDERER_WEBGL),n=t.getParameter(i.UNMASKED_VENDOR_WEBGL);r&&(e.renderer=r.toLowerCase()),n&&(e.vendor=n.toLowerCase())}return this.gpuInfo=e}}}(),function(){"use strict";var t=function(){};function e(){}(fabric.Canvas2dFilterBackend=e).prototype={evictCachesForKey:t,dispose:t,clearWebGLCaches:t,resources:{},applyFilters:function(t,e,i,r,n){var s=n.getContext("2d");s.drawImage(e,0,0,i,r);var o={sourceWidth:i,sourceHeight:r,imageData:s.getImageData(0,0,i,r),originalEl:e,originalImageData:s.getImageData(0,0,i,r),canvasEl:n,ctx:s,filterBackend:this};return t.forEach(function(t){t.applyTo(o)}),o.imageData.width===i&&o.imageData.height===r||(n.width=o.imageData.width,n.height=o.imageData.height),s.putImageData(o.imageData,0,0),o}}}(),fabric.Image=fabric.Image||{},fabric.Image.filters=fabric.Image.filters||{},fabric.Image.filters.BaseFilter=fabric.util.createClass({type:"BaseFilter",vertexSource:"attribute vec2 aPosition;\nvarying vec2 vTexCoord;\nvoid main() {\nvTexCoord = aPosition;\ngl_Position = vec4(aPosition * 2.0 - 1.0, 0.0, 1.0);\n}",fragmentSource:"precision highp float;\nvarying vec2 vTexCoord;\nuniform sampler2D uTexture;\nvoid main() {\ngl_FragColor = texture2D(uTexture, vTexCoord);\n}",initialize:function(t){t&&this.setOptions(t)},setOptions:function(t){for(var e in t)this[e]=t[e]},createProgram:function(t,e,i){e=e||this.fragmentSource,i=i||this.vertexSource,"highp"!==fabric.webGlPrecision&&(e=e.replace(/precision highp float/g,"precision "+fabric.webGlPrecision+" float"));var r=t.createShader(t.VERTEX_SHADER);if(t.shaderSource(r,i),t.compileShader(r),!t.getShaderParameter(r,t.COMPILE_STATUS))throw new Error("Vertex shader compile error for "+this.type+": "+t.getShaderInfoLog(r));var n=t.createShader(t.FRAGMENT_SHADER);if(t.shaderSource(n,e),t.compileShader(n),!t.getShaderParameter(n,t.COMPILE_STATUS))throw new Error("Fragment shader compile error for "+this.type+": "+t.getShaderInfoLog(n));var s=t.createProgram();if(t.attachShader(s,r),t.attachShader(s,n),t.linkProgram(s),!t.getProgramParameter(s,t.LINK_STATUS))throw new Error('Shader link error for "${this.type}" '+t.getProgramInfoLog(s));var o=this.getAttributeLocations(t,s),a=this.getUniformLocations(t,s)||{};return a.uStepW=t.getUniformLocation(s,"uStepW"),a.uStepH=t.getUniformLocation(s,"uStepH"),{program:s,attributeLocations:o,uniformLocations:a}},getAttributeLocations:function(t,e){return{aPosition:t.getAttribLocation(e,"aPosition")}},getUniformLocations:function(){return{}},sendAttributeData:function(t,e,i){var r=e.aPosition,n=t.createBuffer();t.bindBuffer(t.ARRAY_BUFFER,n),t.enableVertexAttribArray(r),t.vertexAttribPointer(r,2,t.FLOAT,!1,0,0),t.bufferData(t.ARRAY_BUFFER,i,t.STATIC_DRAW)},_setupFrameBuffer:function(t){var e,i,r=t.context;1<t.passes?(e=t.destinationWidth,i=t.destinationHeight,t.sourceWidth===e&&t.sourceHeight===i||(r.deleteTexture(t.targetTexture),t.targetTexture=t.filterBackend.createTexture(r,e,i)),r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t.targetTexture,0)):(r.bindFramebuffer(r.FRAMEBUFFER,null),r.finish())},_swapTextures:function(t){t.passes--,t.pass++;var e=t.targetTexture;t.targetTexture=t.sourceTexture,t.sourceTexture=e},isNeutralState:function(){var t=this.mainParameter,e=fabric.Image.filters[this.type].prototype;if(t){if(Array.isArray(e[t])){for(var i=e[t].length;i--;)if(this[t][i]!==e[t][i])return!1;return!0}return e[t]===this[t]}return!1},applyTo:function(t){t.webgl?(this._setupFrameBuffer(t),this.applyToWebGL(t),this._swapTextures(t)):this.applyTo2d(t)},retrieveShader:function(t){return t.programCache.hasOwnProperty(this.type)||(t.programCache[this.type]=this.createProgram(t.context)),t.programCache[this.type]},applyToWebGL:function(t){var e=t.context,i=this.retrieveShader(t);0===t.pass&&t.originalTexture?e.bindTexture(e.TEXTURE_2D,t.originalTexture):e.bindTexture(e.TEXTURE_2D,t.sourceTexture),e.useProgram(i.program),this.sendAttributeData(e,i.attributeLocations,t.aPosition),e.uniform1f(i.uniformLocations.uStepW,1/t.sourceWidth),e.uniform1f(i.uniformLocations.uStepH,1/t.sourceHeight),this.sendUniformData(e,i.uniformLocations),e.viewport(0,0,t.destinationWidth,t.destinationHeight),e.drawArrays(e.TRIANGLE_STRIP,0,4)},bindAdditionalTexture:function(t,e,i){t.activeTexture(i),t.bindTexture(t.TEXTURE_2D,e),t.activeTexture(t.TEXTURE0)},unbindAdditionalTexture:function(t,e){t.activeTexture(e),t.bindTexture(t.TEXTURE_2D,null),t.activeTexture(t.TEXTURE0)},getMainParameter:function(){return this[this.mainParameter]},setMainParameter:function(t){this[this.mainParameter]=t},sendUniformData:function(){},createHelpLayer:function(t){if(!t.helpLayer){var e=document.createElement("canvas");e.width=t.sourceWidth,e.height=t.sourceHeight,t.helpLayer=e}},toObject:function(){var t={type:this.type},e=this.mainParameter;return e&&(t[e]=this[e]),t},toJSON:function(){return this.toObject()}}),fabric.Image.filters.BaseFilter.fromObject=function(t,e){var i=new fabric.Image.filters[t.type](t);return e&&e(i),i},function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.ColorMatrix=r(i.BaseFilter,{type:"ColorMatrix",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nvarying vec2 vTexCoord;\nuniform mat4 uColorMatrix;\nuniform vec4 uConstants;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\ncolor *= uColorMatrix;\ncolor += uConstants;\ngl_FragColor = color;\n}",matrix:[1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0],mainParameter:"matrix",colorsOnly:!0,initialize:function(t){this.callSuper("initialize",t),this.matrix=this.matrix.slice(0)},applyTo2d:function(t){var e,i,r,n,s,o=t.imageData.data,a=o.length,h=this.matrix,c=this.colorsOnly;for(s=0;s<a;s+=4)e=o[s],i=o[s+1],r=o[s+2],c?(o[s]=e*h[0]+i*h[1]+r*h[2]+255*h[4],o[s+1]=e*h[5]+i*h[6]+r*h[7]+255*h[9],o[s+2]=e*h[10]+i*h[11]+r*h[12]+255*h[14]):(n=o[s+3],o[s]=e*h[0]+i*h[1]+r*h[2]+n*h[3]+255*h[4],o[s+1]=e*h[5]+i*h[6]+r*h[7]+n*h[8]+255*h[9],o[s+2]=e*h[10]+i*h[11]+r*h[12]+n*h[13]+255*h[14],o[s+3]=e*h[15]+i*h[16]+r*h[17]+n*h[18]+255*h[19])},getUniformLocations:function(t,e){return{uColorMatrix:t.getUniformLocation(e,"uColorMatrix"),uConstants:t.getUniformLocation(e,"uConstants")}},sendUniformData:function(t,e){var i=this.matrix,r=[i[0],i[1],i[2],i[3],i[5],i[6],i[7],i[8],i[10],i[11],i[12],i[13],i[15],i[16],i[17],i[18]],n=[i[4],i[9],i[14],i[19]];t.uniformMatrix4fv(e.uColorMatrix,!1,r),t.uniform4fv(e.uConstants,n)}}),e.Image.filters.ColorMatrix.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.Brightness=r(i.BaseFilter,{type:"Brightness",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uBrightness;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\ncolor.rgb += uBrightness;\ngl_FragColor = color;\n}",brightness:0,mainParameter:"brightness",applyTo2d:function(t){if(0!==this.brightness){var e,i=t.imageData.data,r=i.length,n=Math.round(255*this.brightness);for(e=0;e<r;e+=4)i[e]=i[e]+n,i[e+1]=i[e+1]+n,i[e+2]=i[e+2]+n}},getUniformLocations:function(t,e){return{uBrightness:t.getUniformLocation(e,"uBrightness")}},sendUniformData:function(t,e){t.uniform1f(e.uBrightness,this.brightness)}}),e.Image.filters.Brightness.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.util.object.extend,r=e.Image.filters,n=e.util.createClass;r.Convolute=n(r.BaseFilter,{type:"Convolute",opaque:!1,matrix:[0,0,0,0,1,0,0,0,0],fragmentSource:{Convolute_3_1:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[9];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 0);\nfor (float h = 0.0; h < 3.0; h+=1.0) {\nfor (float w = 0.0; w < 3.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 1), uStepH * (h - 1));\ncolor += texture2D(uTexture, vTexCoord + matrixPos) * uMatrix[int(h * 3.0 + w)];\n}\n}\ngl_FragColor = color;\n}",Convolute_3_0:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[9];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 1);\nfor (float h = 0.0; h < 3.0; h+=1.0) {\nfor (float w = 0.0; w < 3.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 1.0), uStepH * (h - 1.0));\ncolor.rgb += texture2D(uTexture, vTexCoord + matrixPos).rgb * uMatrix[int(h * 3.0 + w)];\n}\n}\nfloat alpha = texture2D(uTexture, vTexCoord).a;\ngl_FragColor = color;\ngl_FragColor.a = alpha;\n}",Convolute_5_1:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[25];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 0);\nfor (float h = 0.0; h < 5.0; h+=1.0) {\nfor (float w = 0.0; w < 5.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 2.0), uStepH * (h - 2.0));\ncolor += texture2D(uTexture, vTexCoord + matrixPos) * uMatrix[int(h * 5.0 + w)];\n}\n}\ngl_FragColor = color;\n}",Convolute_5_0:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[25];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 1);\nfor (float h = 0.0; h < 5.0; h+=1.0) {\nfor (float w = 0.0; w < 5.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 2.0), uStepH * (h - 2.0));\ncolor.rgb += texture2D(uTexture, vTexCoord + matrixPos).rgb * uMatrix[int(h * 5.0 + w)];\n}\n}\nfloat alpha = texture2D(uTexture, vTexCoord).a;\ngl_FragColor = color;\ngl_FragColor.a = alpha;\n}",Convolute_7_1:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[49];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 0);\nfor (float h = 0.0; h < 7.0; h+=1.0) {\nfor (float w = 0.0; w < 7.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 3.0), uStepH * (h - 3.0));\ncolor += texture2D(uTexture, vTexCoord + matrixPos) * uMatrix[int(h * 7.0 + w)];\n}\n}\ngl_FragColor = color;\n}",Convolute_7_0:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[49];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 1);\nfor (float h = 0.0; h < 7.0; h+=1.0) {\nfor (float w = 0.0; w < 7.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 3.0), uStepH * (h - 3.0));\ncolor.rgb += texture2D(uTexture, vTexCoord + matrixPos).rgb * uMatrix[int(h * 7.0 + w)];\n}\n}\nfloat alpha = texture2D(uTexture, vTexCoord).a;\ngl_FragColor = color;\ngl_FragColor.a = alpha;\n}",Convolute_9_1:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[81];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 0);\nfor (float h = 0.0; h < 9.0; h+=1.0) {\nfor (float w = 0.0; w < 9.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 4.0), uStepH * (h - 4.0));\ncolor += texture2D(uTexture, vTexCoord + matrixPos) * uMatrix[int(h * 9.0 + w)];\n}\n}\ngl_FragColor = color;\n}",Convolute_9_0:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uMatrix[81];\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = vec4(0, 0, 0, 1);\nfor (float h = 0.0; h < 9.0; h+=1.0) {\nfor (float w = 0.0; w < 9.0; w+=1.0) {\nvec2 matrixPos = vec2(uStepW * (w - 4.0), uStepH * (h - 4.0));\ncolor.rgb += texture2D(uTexture, vTexCoord + matrixPos).rgb * uMatrix[int(h * 9.0 + w)];\n}\n}\nfloat alpha = texture2D(uTexture, vTexCoord).a;\ngl_FragColor = color;\ngl_FragColor.a = alpha;\n}"},retrieveShader:function(t){var e=Math.sqrt(this.matrix.length),i=this.type+"_"+e+"_"+(this.opaque?1:0),r=this.fragmentSource[i];return t.programCache.hasOwnProperty(i)||(t.programCache[i]=this.createProgram(t.context,r)),t.programCache[i]},applyTo2d:function(t){var e,i,r,n,s,o,a,h,c,l,u,f,d,g=t.imageData,p=g.data,v=this.matrix,m=Math.round(Math.sqrt(v.length)),b=Math.floor(m/2),y=g.width,_=g.height,x=t.ctx.createImageData(y,_),C=x.data,S=this.opaque?1:0;for(u=0;u<_;u++)for(l=0;l<y;l++){for(s=4*(u*y+l),d=n=r=i=e=0;d<m;d++)for(f=0;f<m;f++)o=l+f-b,(a=u+d-b)<0||_<=a||o<0||y<=o||(h=4*(a*y+o),c=v[d*m+f],e+=p[h]*c,i+=p[h+1]*c,r+=p[h+2]*c,S||(n+=p[h+3]*c));C[s]=e,C[s+1]=i,C[s+2]=r,C[s+3]=S?p[s+3]:n}t.imageData=x},getUniformLocations:function(t,e){return{uMatrix:t.getUniformLocation(e,"uMatrix"),uOpaque:t.getUniformLocation(e,"uOpaque"),uHalfSize:t.getUniformLocation(e,"uHalfSize"),uSize:t.getUniformLocation(e,"uSize")}},sendUniformData:function(t,e){t.uniform1fv(e.uMatrix,this.matrix)},toObject:function(){return i(this.callSuper("toObject"),{opaque:this.opaque,matrix:this.matrix})}}),e.Image.filters.Convolute.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.Grayscale=r(i.BaseFilter,{type:"Grayscale",fragmentSource:{average:"precision highp float;\nuniform sampler2D uTexture;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\nfloat average = (color.r + color.b + color.g) / 3.0;\ngl_FragColor = vec4(average, average, average, color.a);\n}",lightness:"precision highp float;\nuniform sampler2D uTexture;\nuniform int uMode;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 col = texture2D(uTexture, vTexCoord);\nfloat average = (max(max(col.r, col.g),col.b) + min(min(col.r, col.g),col.b)) / 2.0;\ngl_FragColor = vec4(average, average, average, col.a);\n}",luminosity:"precision highp float;\nuniform sampler2D uTexture;\nuniform int uMode;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 col = texture2D(uTexture, vTexCoord);\nfloat average = 0.21 * col.r + 0.72 * col.g + 0.07 * col.b;\ngl_FragColor = vec4(average, average, average, col.a);\n}"},mode:"average",mainParameter:"mode",applyTo2d:function(t){var e,i,r=t.imageData.data,n=r.length,s=this.mode;for(e=0;e<n;e+=4)"average"===s?i=(r[e]+r[e+1]+r[e+2])/3:"lightness"===s?i=(Math.min(r[e],r[e+1],r[e+2])+Math.max(r[e],r[e+1],r[e+2]))/2:"luminosity"===s&&(i=.21*r[e]+.72*r[e+1]+.07*r[e+2]),r[e]=i,r[e+1]=i,r[e+2]=i},retrieveShader:function(t){var e=this.type+"_"+this.mode;if(!t.programCache.hasOwnProperty(e)){var i=this.fragmentSource[this.mode];t.programCache[e]=this.createProgram(t.context,i)}return t.programCache[e]},getUniformLocations:function(t,e){return{uMode:t.getUniformLocation(e,"uMode")}},sendUniformData:function(t,e){t.uniform1i(e.uMode,1)},isNeutralState:function(){return!1}}),e.Image.filters.Grayscale.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.Invert=r(i.BaseFilter,{type:"Invert",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform int uInvert;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\nif (uInvert == 1) {\ngl_FragColor = vec4(1.0 - color.r,1.0 -color.g,1.0 -color.b,color.a);\n} else {\ngl_FragColor = color;\n}\n}",invert:!0,mainParameter:"invert",applyTo2d:function(t){var e,i=t.imageData.data,r=i.length;for(e=0;e<r;e+=4)i[e]=255-i[e],i[e+1]=255-i[e+1],i[e+2]=255-i[e+2]},isNeutralState:function(){return!this.invert},getUniformLocations:function(t,e){return{uInvert:t.getUniformLocation(e,"uInvert")}},sendUniformData:function(t,e){t.uniform1i(e.uInvert,this.invert)}}),e.Image.filters.Invert.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.util.object.extend,r=e.Image.filters,n=e.util.createClass;r.Noise=n(r.BaseFilter,{type:"Noise",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uStepH;\nuniform float uNoise;\nuniform float uSeed;\nvarying vec2 vTexCoord;\nfloat rand(vec2 co, float seed, float vScale) {\nreturn fract(sin(dot(co.xy * vScale ,vec2(12.9898 , 78.233))) * 43758.5453 * (seed + 0.01) / 2.0);\n}\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\ncolor.rgb += (0.5 - rand(vTexCoord, uSeed, 0.1 / uStepH)) * uNoise;\ngl_FragColor = color;\n}",mainParameter:"noise",noise:0,applyTo2d:function(t){if(0!==this.noise){var e,i,r=t.imageData.data,n=r.length,s=this.noise;for(e=0,n=r.length;e<n;e+=4)i=(.5-Math.random())*s,r[e]+=i,r[e+1]+=i,r[e+2]+=i}},getUniformLocations:function(t,e){return{uNoise:t.getUniformLocation(e,"uNoise"),uSeed:t.getUniformLocation(e,"uSeed")}},sendUniformData:function(t,e){t.uniform1f(e.uNoise,this.noise/255),t.uniform1f(e.uSeed,Math.random())},toObject:function(){return i(this.callSuper("toObject"),{noise:this.noise})}}),e.Image.filters.Noise.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.Pixelate=r(i.BaseFilter,{type:"Pixelate",blocksize:4,mainParameter:"blocksize",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uBlocksize;\nuniform float uStepW;\nuniform float uStepH;\nvarying vec2 vTexCoord;\nvoid main() {\nfloat blockW = uBlocksize * uStepW;\nfloat blockH = uBlocksize * uStepW;\nint posX = int(vTexCoord.x / blockW);\nint posY = int(vTexCoord.y / blockH);\nfloat fposX = float(posX);\nfloat fposY = float(posY);\nvec2 squareCoords = vec2(fposX * blockW, fposY * blockH);\nvec4 color = texture2D(uTexture, squareCoords);\ngl_FragColor = color;\n}",applyTo2d:function(t){var e,i,r,n,s,o,a,h,c,l,u,f=t.imageData,d=f.data,g=f.height,p=f.width;for(i=0;i<g;i+=this.blocksize)for(r=0;r<p;r+=this.blocksize)for(n=d[e=4*i*p+4*r],s=d[e+1],o=d[e+2],a=d[e+3],l=Math.min(i+this.blocksize,g),u=Math.min(r+this.blocksize,p),h=i;h<l;h++)for(c=r;c<u;c++)d[e=4*h*p+4*c]=n,d[e+1]=s,d[e+2]=o,d[e+3]=a},isNeutralState:function(){return 1===this.blocksize},getUniformLocations:function(t,e){return{uBlocksize:t.getUniformLocation(e,"uBlocksize"),uStepW:t.getUniformLocation(e,"uStepW"),uStepH:t.getUniformLocation(e,"uStepH")}},sendUniformData:function(t,e){t.uniform1f(e.uBlocksize,this.blocksize)}}),e.Image.filters.Pixelate.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var l=t.fabric||(t.fabric={}),e=l.util.object.extend,i=l.Image.filters,r=l.util.createClass;i.RemoveColor=r(i.BaseFilter,{type:"RemoveColor",color:"#FFFFFF",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform vec4 uLow;\nuniform vec4 uHigh;\nvarying vec2 vTexCoord;\nvoid main() {\ngl_FragColor = texture2D(uTexture, vTexCoord);\nif(all(greaterThan(gl_FragColor.rgb,uLow.rgb)) && all(greaterThan(uHigh.rgb,gl_FragColor.rgb))) {\ngl_FragColor.a = 0.0;\n}\n}",distance:.02,useAlpha:!1,applyTo2d:function(t){var e,i,r,n,s=t.imageData.data,o=255*this.distance,a=new l.Color(this.color).getSource(),h=[a[0]-o,a[1]-o,a[2]-o],c=[a[0]+o,a[1]+o,a[2]+o];for(e=0;e<s.length;e+=4)i=s[e],r=s[e+1],n=s[e+2],h[0]<i&&h[1]<r&&h[2]<n&&i<c[0]&&r<c[1]&&n<c[2]&&(s[e+3]=0)},getUniformLocations:function(t,e){return{uLow:t.getUniformLocation(e,"uLow"),uHigh:t.getUniformLocation(e,"uHigh")}},sendUniformData:function(t,e){var i=new l.Color(this.color).getSource(),r=parseFloat(this.distance),n=[0+i[0]/255-r,0+i[1]/255-r,0+i[2]/255-r,1],s=[i[0]/255+r,i[1]/255+r,i[2]/255+r,1];t.uniform4fv(e.uLow,n),t.uniform4fv(e.uHigh,s)},toObject:function(){return e(this.callSuper("toObject"),{color:this.color,distance:this.distance})}}),l.Image.filters.RemoveColor.fromObject=l.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass,n={Brownie:[.5997,.34553,-.27082,0,.186,-.0377,.86095,.15059,0,-.1449,.24113,-.07441,.44972,0,-.02965,0,0,0,1,0],Vintage:[.62793,.32021,-.03965,0,.03784,.02578,.64411,.03259,0,.02926,.0466,-.08512,.52416,0,.02023,0,0,0,1,0],Kodachrome:[1.12855,-.39673,-.03992,0,.24991,-.16404,1.08352,-.05498,0,.09698,-.16786,-.56034,1.60148,0,.13972,0,0,0,1,0],Technicolor:[1.91252,-.85453,-.09155,0,.04624,-.30878,1.76589,-.10601,0,-.27589,-.2311,-.75018,1.84759,0,.12137,0,0,0,1,0],Polaroid:[1.438,-.062,-.062,0,0,-.122,1.378,-.122,0,0,-.016,-.016,1.483,0,0,0,0,0,1,0],Sepia:[.393,.769,.189,0,0,.349,.686,.168,0,0,.272,.534,.131,0,0,0,0,0,1,0],BlackWhite:[1.5,1.5,1.5,0,-1,1.5,1.5,1.5,0,-1,1.5,1.5,1.5,0,-1,0,0,0,1,0]};for(var s in n)i[s]=r(i.ColorMatrix,{type:s,matrix:n[s],mainParameter:!1,colorsOnly:!0}),e.Image.filters[s].fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var f=t.fabric,e=f.Image.filters,i=f.util.createClass;e.BlendColor=i(e.BaseFilter,{type:"BlendColor",color:"#F95C63",mode:"multiply",alpha:1,fragmentSource:{multiply:"gl_FragColor.rgb *= uColor.rgb;\n",screen:"gl_FragColor.rgb = 1.0 - (1.0 - gl_FragColor.rgb) * (1.0 - uColor.rgb);\n",add:"gl_FragColor.rgb += uColor.rgb;\n",diff:"gl_FragColor.rgb = abs(gl_FragColor.rgb - uColor.rgb);\n",subtract:"gl_FragColor.rgb -= uColor.rgb;\n",lighten:"gl_FragColor.rgb = max(gl_FragColor.rgb, uColor.rgb);\n",darken:"gl_FragColor.rgb = min(gl_FragColor.rgb, uColor.rgb);\n",exclusion:"gl_FragColor.rgb += uColor.rgb - 2.0 * (uColor.rgb * gl_FragColor.rgb);\n",overlay:"if (uColor.r < 0.5) {\ngl_FragColor.r *= 2.0 * uColor.r;\n} else {\ngl_FragColor.r = 1.0 - 2.0 * (1.0 - gl_FragColor.r) * (1.0 - uColor.r);\n}\nif (uColor.g < 0.5) {\ngl_FragColor.g *= 2.0 * uColor.g;\n} else {\ngl_FragColor.g = 1.0 - 2.0 * (1.0 - gl_FragColor.g) * (1.0 - uColor.g);\n}\nif (uColor.b < 0.5) {\ngl_FragColor.b *= 2.0 * uColor.b;\n} else {\ngl_FragColor.b = 1.0 - 2.0 * (1.0 - gl_FragColor.b) * (1.0 - uColor.b);\n}\n",tint:"gl_FragColor.rgb *= (1.0 - uColor.a);\ngl_FragColor.rgb += uColor.rgb;\n"},buildSource:function(t){return"precision highp float;\nuniform sampler2D uTexture;\nuniform vec4 uColor;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\ngl_FragColor = color;\nif (color.a > 0.0) {\n"+this.fragmentSource[t]+"}\n}"},retrieveShader:function(t){var e,i=this.type+"_"+this.mode;return t.programCache.hasOwnProperty(i)||(e=this.buildSource(this.mode),t.programCache[i]=this.createProgram(t.context,e)),t.programCache[i]},applyTo2d:function(t){var e,i,r,n,s,o,a,h=t.imageData.data,c=h.length,l=1-this.alpha;e=(a=new f.Color(this.color).getSource())[0]*this.alpha,i=a[1]*this.alpha,r=a[2]*this.alpha;for(var u=0;u<c;u+=4)switch(n=h[u],s=h[u+1],o=h[u+2],this.mode){case"multiply":h[u]=n*e/255,h[u+1]=s*i/255,h[u+2]=o*r/255;break;case"screen":h[u]=255-(255-n)*(255-e)/255,h[u+1]=255-(255-s)*(255-i)/255,h[u+2]=255-(255-o)*(255-r)/255;break;case"add":h[u]=n+e,h[u+1]=s+i,h[u+2]=o+r;break;case"diff":case"difference":h[u]=Math.abs(n-e),h[u+1]=Math.abs(s-i),h[u+2]=Math.abs(o-r);break;case"subtract":h[u]=n-e,h[u+1]=s-i,h[u+2]=o-r;break;case"darken":h[u]=Math.min(n,e),h[u+1]=Math.min(s,i),h[u+2]=Math.min(o,r);break;case"lighten":h[u]=Math.max(n,e),h[u+1]=Math.max(s,i),h[u+2]=Math.max(o,r);break;case"overlay":h[u]=e<128?2*n*e/255:255-2*(255-n)*(255-e)/255,h[u+1]=i<128?2*s*i/255:255-2*(255-s)*(255-i)/255,h[u+2]=r<128?2*o*r/255:255-2*(255-o)*(255-r)/255;break;case"exclusion":h[u]=e+n-2*e*n/255,h[u+1]=i+s-2*i*s/255,h[u+2]=r+o-2*r*o/255;break;case"tint":h[u]=e+n*l,h[u+1]=i+s*l,h[u+2]=r+o*l}},getUniformLocations:function(t,e){return{uColor:t.getUniformLocation(e,"uColor")}},sendUniformData:function(t,e){var i=new f.Color(this.color).getSource();i[0]=this.alpha*i[0]/255,i[1]=this.alpha*i[1]/255,i[2]=this.alpha*i[2]/255,i[3]=this.alpha,t.uniform4fv(e.uColor,i)},toObject:function(){return{type:this.type,color:this.color,mode:this.mode,alpha:this.alpha}}}),f.Image.filters.BlendColor.fromObject=f.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var _=t.fabric,e=_.Image.filters,i=_.util.createClass;e.BlendImage=i(e.BaseFilter,{type:"BlendImage",image:null,mode:"multiply",alpha:1,vertexSource:"attribute vec2 aPosition;\nvarying vec2 vTexCoord;\nvarying vec2 vTexCoord2;\nuniform mat3 uTransformMatrix;\nvoid main() {\nvTexCoord = aPosition;\nvTexCoord2 = (uTransformMatrix * vec3(aPosition, 1.0)).xy;\ngl_Position = vec4(aPosition * 2.0 - 1.0, 0.0, 1.0);\n}",fragmentSource:{multiply:"precision highp float;\nuniform sampler2D uTexture;\nuniform sampler2D uImage;\nuniform vec4 uColor;\nvarying vec2 vTexCoord;\nvarying vec2 vTexCoord2;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\nvec4 color2 = texture2D(uImage, vTexCoord2);\ncolor.rgba *= color2.rgba;\ngl_FragColor = color;\n}",mask:"precision highp float;\nuniform sampler2D uTexture;\nuniform sampler2D uImage;\nuniform vec4 uColor;\nvarying vec2 vTexCoord;\nvarying vec2 vTexCoord2;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\nvec4 color2 = texture2D(uImage, vTexCoord2);\ncolor.a = color2.a;\ngl_FragColor = color;\n}"},retrieveShader:function(t){var e=this.type+"_"+this.mode,i=this.fragmentSource[this.mode];return t.programCache.hasOwnProperty(e)||(t.programCache[e]=this.createProgram(t.context,i)),t.programCache[e]},applyToWebGL:function(t){var e=t.context,i=this.createTexture(t.filterBackend,this.image);this.bindAdditionalTexture(e,i,e.TEXTURE1),this.callSuper("applyToWebGL",t),this.unbindAdditionalTexture(e,e.TEXTURE1)},createTexture:function(t,e){return t.getCachedTexture(e.cacheKey,e._element)},calculateMatrix:function(){var t=this.image,e=t._element.width,i=t._element.height;return[1/t.scaleX,0,0,0,1/t.scaleY,0,-t.left/e,-t.top/i,1]},applyTo2d:function(t){var e,i,r,n,s,o,a,h,c,l,u,f=t.imageData,d=t.filterBackend.resources,g=f.data,p=g.length,v=f.width,m=f.height,b=this.image;d.blendImage||(d.blendImage=_.util.createCanvasElement()),l=(c=d.blendImage).getContext("2d"),c.width!==v||c.height!==m?(c.width=v,c.height=m):l.clearRect(0,0,v,m),l.setTransform(b.scaleX,0,0,b.scaleY,b.left,b.top),l.drawImage(b._element,0,0,v,m),u=l.getImageData(0,0,v,m).data;for(var y=0;y<p;y+=4)switch(s=g[y],o=g[y+1],a=g[y+2],h=g[y+3],e=u[y],i=u[y+1],r=u[y+2],n=u[y+3],this.mode){case"multiply":g[y]=s*e/255,g[y+1]=o*i/255,g[y+2]=a*r/255,g[y+3]=h*n/255;break;case"mask":g[y+3]=n}},getUniformLocations:function(t,e){return{uTransformMatrix:t.getUniformLocation(e,"uTransformMatrix"),uImage:t.getUniformLocation(e,"uImage")}},sendUniformData:function(t,e){var i=this.calculateMatrix();t.uniform1i(e.uImage,1),t.uniformMatrix3fv(e.uTransformMatrix,!1,i)},toObject:function(){return{type:this.type,image:this.image&&this.image.toObject(),mode:this.mode,alpha:this.alpha}}}),_.Image.filters.BlendImage.fromObject=function(i,r){_.Image.fromObject(i.image,function(t){var e=_.util.object.clone(i);e.image=t,r(new _.Image.filters.BlendImage(e))})}}("undefined"!=typeof exports?exports:this),function(t){"use strict";var m=t.fabric||(t.fabric={}),A=Math.pow,j=Math.floor,M=Math.sqrt,F=Math.abs,c=Math.round,r=Math.sin,I=Math.ceil,e=m.Image.filters,i=m.util.createClass;e.Resize=i(e.BaseFilter,{type:"Resize",resizeType:"hermite",scaleX:1,scaleY:1,lanczosLobes:3,getUniformLocations:function(t,e){return{uDelta:t.getUniformLocation(e,"uDelta"),uTaps:t.getUniformLocation(e,"uTaps")}},sendUniformData:function(t,e){t.uniform2fv(e.uDelta,this.horizontal?[1/this.width,0]:[0,1/this.height]),t.uniform1fv(e.uTaps,this.taps)},retrieveShader:function(t){var e=this.getFilterWindow(),i=this.type+"_"+e;if(!t.programCache.hasOwnProperty(i)){var r=this.generateShader(e);t.programCache[i]=this.createProgram(t.context,r)}return t.programCache[i]},getFilterWindow:function(){var t=this.tempScale;return Math.ceil(this.lanczosLobes/t)},getTaps:function(){for(var t=this.lanczosCreate(this.lanczosLobes),e=this.tempScale,i=this.getFilterWindow(),r=new Array(i),n=1;n<=i;n++)r[n-1]=t(n*e);return r},generateShader:function(t){for(var e=new Array(t),i=this.fragmentSourceTOP,r=1;r<=t;r++)e[r-1]=r+".0 * uDelta";return i+="uniform float uTaps["+t+"];\n",i+="void main() {\n",i+="  vec4 color = texture2D(uTexture, vTexCoord);\n",i+="  float sum = 1.0;\n",e.forEach(function(t,e){i+="  color += texture2D(uTexture, vTexCoord + "+t+") * uTaps["+e+"];\n",i+="  color += texture2D(uTexture, vTexCoord - "+t+") * uTaps["+e+"];\n",i+="  sum += 2.0 * uTaps["+e+"];\n"}),i+="  gl_FragColor = color / sum;\n",i+="}"},fragmentSourceTOP:"precision highp float;\nuniform sampler2D uTexture;\nuniform vec2 uDelta;\nvarying vec2 vTexCoord;\n",applyTo:function(t){t.webgl?(t.passes++,this.width=t.sourceWidth,this.horizontal=!0,this.dW=Math.round(this.width*this.scaleX),this.dH=t.sourceHeight,this.tempScale=this.dW/this.width,this.taps=this.getTaps(),t.destinationWidth=this.dW,this._setupFrameBuffer(t),this.applyToWebGL(t),this._swapTextures(t),t.sourceWidth=t.destinationWidth,this.height=t.sourceHeight,this.horizontal=!1,this.dH=Math.round(this.height*this.scaleY),this.tempScale=this.dH/this.height,this.taps=this.getTaps(),t.destinationHeight=this.dH,this._setupFrameBuffer(t),this.applyToWebGL(t),this._swapTextures(t),t.sourceHeight=t.destinationHeight):this.applyTo2d(t)},isNeutralState:function(){return 1===this.scaleX&&1===this.scaleY},lanczosCreate:function(i){return function(t){if(i<=t||t<=-i)return 0;if(t<1.1920929e-7&&-1.1920929e-7<t)return 1;var e=(t*=Math.PI)/i;return r(t)/t*r(e)/e}},applyTo2d:function(t){var e=t.imageData,i=this.scaleX,r=this.scaleY;this.rcpScaleX=1/i,this.rcpScaleY=1/r;var n,s=e.width,o=e.height,a=c(s*i),h=c(o*r);"sliceHack"===this.resizeType?n=this.sliceByTwo(t,s,o,a,h):"hermite"===this.resizeType?n=this.hermiteFastResize(t,s,o,a,h):"bilinear"===this.resizeType?n=this.bilinearFiltering(t,s,o,a,h):"lanczos"===this.resizeType&&(n=this.lanczosResize(t,s,o,a,h)),t.imageData=n},sliceByTwo:function(t,e,i,r,n){var s,o,a=t.imageData,h=!1,c=!1,l=.5*e,u=.5*i,f=m.filterBackend.resources,d=0,g=0,p=e,v=0;for(f.sliceByTwo||(f.sliceByTwo=document.createElement("canvas")),((s=f.sliceByTwo).width<1.5*e||s.height<i)&&(s.width=1.5*e,s.height=i),(o=s.getContext("2d")).clearRect(0,0,1.5*e,i),o.putImageData(a,0,0),r=j(r),n=j(n);!h||!c;)i=u,r<j(.5*(e=l))?l=j(.5*l):(l=r,h=!0),n<j(.5*u)?u=j(.5*u):(u=n,c=!0),o.drawImage(s,d,g,e,i,p,v,l,u),d=p,g=v,v+=u;return o.getImageData(d,g,r,n)},lanczosResize:function(t,g,p,v,m){var b=t.imageData.data,y=t.ctx.createImageData(v,m),_=y.data,x=this.lanczosCreate(this.lanczosLobes),C=this.rcpScaleX,S=this.rcpScaleY,T=2/this.rcpScaleX,w=2/this.rcpScaleY,O=I(C*this.lanczosLobes/2),k=I(S*this.lanczosLobes/2),P={},D={},E={};return function t(e){var i,r,n,s,o,a,h,c,l,u,f;for(D.x=(e+.5)*C,E.x=j(D.x),i=0;i<m;i++){for(D.y=(i+.5)*S,E.y=j(D.y),l=c=h=a=o=0,r=E.x-O;r<=E.x+O;r++)if(!(r<0||g<=r)){u=j(1e3*F(r-D.x)),P[u]||(P[u]={});for(var d=E.y-k;d<=E.y+k;d++)d<0||p<=d||(f=j(1e3*F(d-D.y)),P[u][f]||(P[u][f]=x(M(A(u*T,2)+A(f*w,2))/1e3)),0<(n=P[u][f])&&(o+=n,a+=n*b[s=4*(d*g+r)],h+=n*b[s+1],c+=n*b[s+2],l+=n*b[s+3]))}_[s=4*(i*v+e)]=a/o,_[s+1]=h/o,_[s+2]=c/o,_[s+3]=l/o}return++e<v?t(e):y}(0)},bilinearFiltering:function(t,e,i,r,n){var s,o,a,h,c,l,u,f,d,g=0,p=this.rcpScaleX,v=this.rcpScaleY,m=4*(e-1),b=t.imageData.data,y=t.ctx.createImageData(r,n),_=y.data;for(a=0;a<n;a++)for(h=0;h<r;h++)for(c=p*h-(s=j(p*h)),l=v*a-(o=j(v*a)),d=4*(o*e+s),u=0;u<4;u++)f=b[d+u]*(1-c)*(1-l)+b[d+4+u]*c*(1-l)+b[d+m+u]*l*(1-c)+b[d+m+4+u]*c*l,_[g++]=f;return y},hermiteFastResize:function(t,e,i,r,n){for(var s=this.rcpScaleX,o=this.rcpScaleY,a=I(s/2),h=I(o/2),c=t.imageData.data,l=t.ctx.createImageData(r,n),u=l.data,f=0;f<n;f++)for(var d=0;d<r;d++){for(var g=4*(d+f*r),p=0,v=0,m=0,b=0,y=0,_=0,x=0,C=(f+.5)*o,S=j(f*o);S<(f+1)*o;S++)for(var T=F(C-(S+.5))/h,w=(d+.5)*s,O=T*T,k=j(d*s);k<(d+1)*s;k++){var P=F(w-(k+.5))/a,D=M(O+P*P);1<D&&D<-1||0<(p=2*D*D*D-3*D*D+1)&&(x+=p*c[(P=4*(k+S*e))+3],m+=p,c[P+3]<255&&(p=p*c[P+3]/250),b+=p*c[P],y+=p*c[P+1],_+=p*c[P+2],v+=p)}u[g]=b/v,u[g+1]=y/v,u[g+2]=_/v,u[g+3]=x/m}return l},toObject:function(){return{type:this.type,scaleX:this.scaleX,scaleY:this.scaleY,resizeType:this.resizeType,lanczosLobes:this.lanczosLobes}}}),m.Image.filters.Resize.fromObject=m.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.Contrast=r(i.BaseFilter,{type:"Contrast",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uContrast;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\nfloat contrastF = 1.015 * (uContrast + 1.0) / (1.0 * (1.015 - uContrast));\ncolor.rgb = contrastF * (color.rgb - 0.5) + 0.5;\ngl_FragColor = color;\n}",contrast:0,mainParameter:"contrast",applyTo2d:function(t){if(0!==this.contrast){var e,i=t.imageData.data,r=i.length,n=Math.floor(255*this.contrast),s=259*(n+255)/(255*(259-n));for(e=0;e<r;e+=4)i[e]=s*(i[e]-128)+128,i[e+1]=s*(i[e+1]-128)+128,i[e+2]=s*(i[e+2]-128)+128}},getUniformLocations:function(t,e){return{uContrast:t.getUniformLocation(e,"uContrast")}},sendUniformData:function(t,e){t.uniform1f(e.uContrast,this.contrast)}}),e.Image.filters.Contrast.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.Saturation=r(i.BaseFilter,{type:"Saturation",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform float uSaturation;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\nfloat rgMax = max(color.r, color.g);\nfloat rgbMax = max(rgMax, color.b);\ncolor.r += rgbMax != color.r ? (rgbMax - color.r) * uSaturation : 0.00;\ncolor.g += rgbMax != color.g ? (rgbMax - color.g) * uSaturation : 0.00;\ncolor.b += rgbMax != color.b ? (rgbMax - color.b) * uSaturation : 0.00;\ngl_FragColor = color;\n}",saturation:0,mainParameter:"saturation",applyTo2d:function(t){if(0!==this.saturation){var e,i,r=t.imageData.data,n=r.length,s=-this.saturation;for(e=0;e<n;e+=4)i=Math.max(r[e],r[e+1],r[e+2]),r[e]+=i!==r[e]?(i-r[e])*s:0,r[e+1]+=i!==r[e+1]?(i-r[e+1])*s:0,r[e+2]+=i!==r[e+2]?(i-r[e+2])*s:0}},getUniformLocations:function(t,e){return{uSaturation:t.getUniformLocation(e,"uSaturation")}},sendUniformData:function(t,e){t.uniform1f(e.uSaturation,-this.saturation)}}),e.Image.filters.Saturation.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var g=t.fabric||(t.fabric={}),e=g.Image.filters,i=g.util.createClass;e.Blur=i(e.BaseFilter,{type:"Blur",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform vec2 uDelta;\nvarying vec2 vTexCoord;\nconst float nSamples = 15.0;\nvec3 v3offset = vec3(12.9898, 78.233, 151.7182);\nfloat random(vec3 scale) {\nreturn fract(sin(dot(gl_FragCoord.xyz, scale)) * 43758.5453);\n}\nvoid main() {\nvec4 color = vec4(0.0);\nfloat total = 0.0;\nfloat offset = random(v3offset);\nfor (float t = -nSamples; t <= nSamples; t++) {\nfloat percent = (t + offset - 0.5) / nSamples;\nfloat weight = 1.0 - abs(percent);\ncolor += texture2D(uTexture, vTexCoord + uDelta * percent) * weight;\ntotal += weight;\n}\ngl_FragColor = color / total;\n}",blur:0,mainParameter:"blur",applyTo:function(t){t.webgl?(this.aspectRatio=t.sourceWidth/t.sourceHeight,t.passes++,this._setupFrameBuffer(t),this.horizontal=!0,this.applyToWebGL(t),this._swapTextures(t),this._setupFrameBuffer(t),this.horizontal=!1,this.applyToWebGL(t),this._swapTextures(t)):this.applyTo2d(t)},applyTo2d:function(t){t.imageData=this.simpleBlur(t)},simpleBlur:function(t){var e,i,r=t.filterBackend.resources,n=t.imageData.width,s=t.imageData.height;r.blurLayer1||(r.blurLayer1=g.util.createCanvasElement(),r.blurLayer2=g.util.createCanvasElement()),e=r.blurLayer1,i=r.blurLayer2,e.width===n&&e.height===s||(i.width=e.width=n,i.height=e.height=s);var o,a,h,c,l=e.getContext("2d"),u=i.getContext("2d"),f=.06*this.blur*.5;for(l.putImageData(t.imageData,0,0),u.clearRect(0,0,n,s),c=-15;c<=15;c++)h=f*(a=c/15)*n+(o=(Math.random()-.5)/4),u.globalAlpha=1-Math.abs(a),u.drawImage(e,h,o),l.drawImage(i,0,0),u.globalAlpha=1,u.clearRect(0,0,i.width,i.height);for(c=-15;c<=15;c++)h=f*(a=c/15)*s+(o=(Math.random()-.5)/4),u.globalAlpha=1-Math.abs(a),u.drawImage(e,o,h),l.drawImage(i,0,0),u.globalAlpha=1,u.clearRect(0,0,i.width,i.height);t.ctx.drawImage(e,0,0);var d=t.ctx.getImageData(0,0,e.width,e.height);return l.globalAlpha=1,l.clearRect(0,0,e.width,e.height),d},getUniformLocations:function(t,e){return{delta:t.getUniformLocation(e,"uDelta")}},sendUniformData:function(t,e){var i=this.chooseRightDelta();t.uniform2fv(e.delta,i)},chooseRightDelta:function(){var t,e=1,i=[0,0];return this.horizontal?1<this.aspectRatio&&(e=1/this.aspectRatio):this.aspectRatio<1&&(e=this.aspectRatio),t=e*this.blur*.12,this.horizontal?i[0]=t:i[1]=t,i}}),e.Blur.fromObject=g.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var e=t.fabric||(t.fabric={}),i=e.Image.filters,r=e.util.createClass;i.Gamma=r(i.BaseFilter,{type:"Gamma",fragmentSource:"precision highp float;\nuniform sampler2D uTexture;\nuniform vec3 uGamma;\nvarying vec2 vTexCoord;\nvoid main() {\nvec4 color = texture2D(uTexture, vTexCoord);\nvec3 correction = (1.0 / uGamma);\ncolor.r = pow(color.r, correction.r);\ncolor.g = pow(color.g, correction.g);\ncolor.b = pow(color.b, correction.b);\ngl_FragColor = color;\ngl_FragColor.rgb *= color.a;\n}",gamma:[1,1,1],mainParameter:"gamma",initialize:function(t){this.gamma=[1,1,1],i.BaseFilter.prototype.initialize.call(this,t)},applyTo2d:function(t){var e,i=t.imageData.data,r=this.gamma,n=i.length,s=1/r[0],o=1/r[1],a=1/r[2];for(this.rVals||(this.rVals=new Uint8Array(256),this.gVals=new Uint8Array(256),this.bVals=new Uint8Array(256)),e=0,n=256;e<n;e++)this.rVals[e]=255*Math.pow(e/255,s),this.gVals[e]=255*Math.pow(e/255,o),this.bVals[e]=255*Math.pow(e/255,a);for(e=0,n=i.length;e<n;e+=4)i[e]=this.rVals[i[e]],i[e+1]=this.gVals[i[e+1]],i[e+2]=this.bVals[i[e+2]]},getUniformLocations:function(t,e){return{uGamma:t.getUniformLocation(e,"uGamma")}},sendUniformData:function(t,e){t.uniform3fv(e.uGamma,this.gamma)}}),e.Image.filters.Gamma.fromObject=e.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var n=t.fabric||(t.fabric={}),e=n.Image.filters,i=n.util.createClass;e.Composed=i(e.BaseFilter,{type:"Composed",subFilters:[],initialize:function(t){this.callSuper("initialize",t),this.subFilters=this.subFilters.slice(0)},applyTo:function(e){e.passes+=this.subFilters.length-1,this.subFilters.forEach(function(t){t.applyTo(e)})},toObject:function(){return n.util.object.extend(this.callSuper("toObject"),{subFilters:this.subFilters.map(function(t){return t.toObject()})})},isNeutralState:function(){return!this.subFilters.some(function(t){return!t.isNeutralState()})}}),n.Image.filters.Composed.fromObject=function(t,e){var i=(t.subFilters||[]).map(function(t){return new n.Image.filters[t.type](t)}),r=new n.Image.filters.Composed({subFilters:i});return e&&e(r),r}}("undefined"!=typeof exports?exports:this),function(t){"use strict";var s=t.fabric||(t.fabric={}),e=s.Image.filters,i=s.util.createClass;e.HueRotation=i(e.ColorMatrix,{type:"HueRotation",rotation:0,mainParameter:"rotation",calculateMatrix:function(){var t=this.rotation*Math.PI,e=s.util.cos(t),i=s.util.sin(t),r=Math.sqrt(1/3)*i,n=1-e;this.matrix=[1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0],this.matrix[0]=e+n/3,this.matrix[1]=1/3*n-r,this.matrix[2]=1/3*n+r,this.matrix[5]=1/3*n+r,this.matrix[6]=e+1/3*n,this.matrix[7]=1/3*n-r,this.matrix[10]=1/3*n-r,this.matrix[11]=1/3*n+r,this.matrix[12]=e+1/3*n},isNeutralState:function(t){return this.calculateMatrix(),e.BaseFilter.prototype.isNeutralState.call(this,t)},applyTo:function(t){this.calculateMatrix(),e.BaseFilter.prototype.applyTo.call(this,t)}}),s.Image.filters.HueRotation.fromObject=s.Image.filters.BaseFilter.fromObject}("undefined"!=typeof exports?exports:this),function(t){"use strict";var d=t.fabric||(t.fabric={}),g=d.util.object.clone;if(d.Text)d.warn("fabric.Text is already defined");else{var e="fontFamily fontWeight fontSize text underline overline linethrough textAlign fontStyle lineHeight textBackgroundColor charSpacing styles path".split(" ");d.Text=d.util.createClass(d.Object,{_dimensionAffectingProps:["fontSize","fontWeight","fontFamily","fontStyle","lineHeight","text","charSpacing","textAlign","styles","path"],_reNewline:/\r?\n/,_reSpacesAndTabs:/[ \t\r]/g,_reSpaceAndTab:/[ \t\r]/,_reWords:/\S+/g,type:"text",fontSize:40,fontWeight:"normal",fontFamily:"Times New Roman",underline:!1,overline:!1,linethrough:!1,textAlign:"left",fontStyle:"normal",lineHeight:1.16,superscript:{size:.6,baseline:-.35},subscript:{size:.6,baseline:.11},textBackgroundColor:"",stateProperties:d.Object.prototype.stateProperties.concat(e),cacheProperties:d.Object.prototype.cacheProperties.concat(e),stroke:null,shadow:null,_fontSizeFraction:.222,offsets:{underline:.1,linethrough:-.315,overline:-.88},_fontSizeMult:1.13,charSpacing:0,styles:null,_measuringContext:null,deltaY:0,_styleProperties:["stroke","strokeWidth","fill","fontFamily","fontSize","fontWeight","fontStyle","underline","overline","linethrough","deltaY","textBackgroundColor"],__charBounds:[],CACHE_FONT_SIZE:400,MIN_TEXT_WIDTH:2,initialize:function(t,e){this.styles=e&&e.styles||{},this.text=t,this.__skipDimension=!0,this.callSuper("initialize",e),this.path&&this.setPathInfo(),this.__skipDimension=!1,this.initDimensions(),this.setCoords(),this.setupState({propertySet:"_dimensionAffectingProps"})},setPathInfo:function(){var t=this.path;t&&(t.segmentsInfo=d.util.getPathSegmentsInfo(t.path))},getMeasuringContext:function(){return d._measuringContext||(d._measuringContext=this.canvas&&this.canvas.contextCache||d.util.createCanvasElement().getContext("2d")),d._measuringContext},_splitText:function(){var t=this._splitTextIntoLines(this.text);return this.textLines=t.lines,this._textLines=t.graphemeLines,this._unwrappedTextLines=t._unwrappedLines,this._text=t.graphemeText,t},initDimensions:function(){this.__skipDimension||(this._splitText(),this._clearCache(),this.path?(this.width=this.path.width,this.height=this.path.height):(this.width=this.calcTextWidth()||this.cursorWidth||this.MIN_TEXT_WIDTH,this.height=this.calcTextHeight()),-1!==this.textAlign.indexOf("justify")&&this.enlargeSpaces(),this.saveState({propertySet:"_dimensionAffectingProps"}))},enlargeSpaces:function(){for(var t,e,i,r,n,s,o,a=0,h=this._textLines.length;a<h;a++)if(("justify"===this.textAlign||a!==h-1&&!this.isEndOfWrapping(a))&&(r=0,n=this._textLines[a],(e=this.getLineWidth(a))<this.width&&(o=this.textLines[a].match(this._reSpacesAndTabs)))){i=o.length,t=(this.width-e)/i;for(var c=0,l=n.length;c<=l;c++)s=this.__charBounds[a][c],this._reSpaceAndTab.test(n[c])?(s.width+=t,s.kernedWidth+=t,s.left+=r,r+=t):s.left+=r}},isEndOfWrapping:function(t){return t===this._textLines.length-1},missingNewlineOffset:function(){return 1},toString:function(){return"#<fabric.Text ("+this.complexity()+'): { "text": "'+this.text+'", "fontFamily": "'+this.fontFamily+'" }>'},_getCacheCanvasDimensions:function(){var t=this.callSuper("_getCacheCanvasDimensions"),e=this.fontSize;return t.width+=e*t.zoomX,t.height+=e*t.zoomY,t},_render:function(t){this._setTextStyles(t),this._renderTextLinesBackground(t),this._renderTextDecoration(t,"underline"),this._renderText(t),this._renderTextDecoration(t,"overline"),this._renderTextDecoration(t,"linethrough")},_renderText:function(t){"stroke"===this.paintFirst?(this._renderTextStroke(t),this._renderTextFill(t)):(this._renderTextFill(t),this._renderTextStroke(t))},_setTextStyles:function(t,e,i){t.textBaseline="alphabetic",t.font=this._getFontDeclaration(e,i)},calcTextWidth:function(){for(var t=this.getLineWidth(0),e=1,i=this._textLines.length;e<i;e++){var r=this.getLineWidth(e);t<r&&(t=r)}return t},_renderTextLine:function(t,e,i,r,n,s){this._renderChars(t,e,i,r,n,s)},_renderTextLinesBackground:function(t){if(this.textBackgroundColor||this.styleHas("textBackgroundColor")){for(var e,i,r,n,s,o,a=t.fillStyle,h=this._getLeftOffset(),c=this._getTopOffset(),l=0,u=0,f=this.path,d=0,g=this._textLines.length;d<g;d++)if(e=this.getHeightOfLine(d),this.textBackgroundColor||this.styleHas("textBackgroundColor",d)){r=this._textLines[d],i=this._getLineLeftOffset(d),l=u=0,n=this.getValueOfPropertyAt(d,0,"textBackgroundColor");for(var p=0,v=r.length;p<v;p++)s=this.__charBounds[d][p],o=this.getValueOfPropertyAt(d,p,"textBackgroundColor"),f?(t.save(),t.translate(s.renderLeft,s.renderTop),t.rotate(s.angle),(t.fillStyle=o)&&t.fillRect(-s.width/2,-e/this.lineHeight*(1-this._fontSizeFraction),s.width,e/this.lineHeight),t.restore()):o!==n?((t.fillStyle=n)&&t.fillRect(h+i+l,c,u,e/this.lineHeight),l=s.left,u=s.width,n=o):u+=s.kernedWidth;o&&!f&&(t.fillStyle=o,t.fillRect(h+i+l,c,u,e/this.lineHeight)),c+=e}else c+=e;t.fillStyle=a,this._removeShadow(t)}},getFontCache:function(t){var e=t.fontFamily.toLowerCase();d.charWidthsCache[e]||(d.charWidthsCache[e]={});var i=d.charWidthsCache[e],r=t.fontStyle.toLowerCase()+"_"+(t.fontWeight+"").toLowerCase();return i[r]||(i[r]={}),i[r]},_measureChar:function(t,e,i,r){var n,s,o,a,h=this.getFontCache(e),c=i+t,l=this._getFontDeclaration(e)===this._getFontDeclaration(r),u=e.fontSize/this.CACHE_FONT_SIZE;if(i&&void 0!==h[i]&&(o=h[i]),void 0!==h[t]&&(a=n=h[t]),l&&void 0!==h[c]&&(a=(s=h[c])-o),void 0===n||void 0===o||void 0===s){var f=this.getMeasuringContext();this._setTextStyles(f,e,!0)}return void 0===n&&(a=n=f.measureText(t).width,h[t]=n),void 0===o&&l&&i&&(o=f.measureText(i).width,h[i]=o),l&&void 0===s&&(s=f.measureText(c).width,a=(h[c]=s)-o),{width:n*u,kernedWidth:a*u}},getHeightOfChar:function(t,e){return this.getValueOfPropertyAt(t,e,"fontSize")},measureLine:function(t){var e=this._measureLine(t);return 0!==this.charSpacing&&(e.width-=this._getWidthOfCharSpacing()),e.width<0&&(e.width=0),e},_measureLine:function(t){var e,i,r,n,s,o,a=0,h=this._textLines[t],c=new Array(h.length),l=0,u=this.path;for(this.__charBounds[t]=c,u&&(s=d.util.getPointOnPath(u.path,0,u.segmentsInfo),o=u.segmentsInfo[u.segmentsInfo.length-1].length,s.x+=u.pathOffset.x,s.y+=u.pathOffset.y),e=0;e<h.length;e++)i=h[e],n=this._getGraphemeBox(i,t,e,r),u&&(o<l&&(l%=o),this._setGraphemeOnPath(l,n,s)),a+=(c[e]=n).kernedWidth,l+=n.kernedWidth,r=i;return c[e]={left:n?n.left+n.width:0,width:0,kernedWidth:0,height:this.fontSize},{width:a,numOfSpaces:0}},_setGraphemeOnPath:function(t,e,i){var r=t+e.kernedWidth/2,n=this.path,s=d.util.getPointOnPath(n.path,r,n.segmentsInfo);e.renderLeft=s.x-i.x,e.renderTop=s.y-i.y,e.angle=s.angle},_getGraphemeBox:function(t,e,i,r,n){var s,o=this.getCompleteStyleDeclaration(e,i),a=r?this.getCompleteStyleDeclaration(e,i-1):{},h=this._measureChar(t,o,r,a),c=h.kernedWidth,l=h.width;0!==this.charSpacing&&(l+=s=this._getWidthOfCharSpacing(),c+=s);var u={width:l,left:0,height:o.fontSize,kernedWidth:c,deltaY:o.deltaY};if(0<i&&!n){var f=this.__charBounds[e][i-1];u.left=f.left+f.width+h.kernedWidth-h.width}return u},getHeightOfLine:function(t){if(this.__lineHeights[t])return this.__lineHeights[t];for(var e=this._textLines[t],i=this.getHeightOfChar(t,0),r=1,n=e.length;r<n;r++)i=Math.max(this.getHeightOfChar(t,r),i);return this.__lineHeights[t]=i*this.lineHeight*this._fontSizeMult},calcTextHeight:function(){for(var t,e=0,i=0,r=this._textLines.length;i<r;i++)t=this.getHeightOfLine(i),e+=i===r-1?t/this.lineHeight:t;return e},_getLeftOffset:function(){return-this.width/2},_getTopOffset:function(){return-this.height/2},_renderTextCommon:function(t,e){t.save();for(var i=0,r=this._getLeftOffset(),n=this._getTopOffset(),s=0,o=this._textLines.length;s<o;s++){var a=this.getHeightOfLine(s),h=a/this.lineHeight,c=this._getLineLeftOffset(s);this._renderTextLine(e,t,this._textLines[s],r+c,n+i+h,s),i+=a}t.restore()},_renderTextFill:function(t){(this.fill||this.styleHas("fill"))&&this._renderTextCommon(t,"fillText")},_renderTextStroke:function(t){(this.stroke&&0!==this.strokeWidth||!this.isEmptyStyles())&&(this.shadow&&!this.shadow.affectStroke&&this._removeShadow(t),t.save(),this._setLineDash(t,this.strokeDashArray),t.beginPath(),this._renderTextCommon(t,"strokeText"),t.closePath(),t.restore())},_renderChars:function(t,e,i,r,n,s){var o,a,h,c,l=this.getHeightOfLine(s),u=-1!==this.textAlign.indexOf("justify"),f="",d=0,g=this.path,p=!u&&0===this.charSpacing&&this.isEmptyStyles(s)&&!g;if(e.save(),n-=l*this._fontSizeFraction/this.lineHeight,p)return this._renderChar(t,e,s,0,i.join(""),r,n,l),void e.restore();for(var v=0,m=i.length-1;v<=m;v++)c=v===m||this.charSpacing||g,f+=i[v],h=this.__charBounds[s][v],0===d?(r+=h.kernedWidth-h.width,d+=h.width):d+=h.kernedWidth,u&&!c&&this._reSpaceAndTab.test(i[v])&&(c=!0),c||(o=o||this.getCompleteStyleDeclaration(s,v),a=this.getCompleteStyleDeclaration(s,v+1),c=this._hasStyleChanged(o,a)),c&&(g?(e.save(),e.translate(h.renderLeft,h.renderTop),e.rotate(h.angle),this._renderChar(t,e,s,v,f,-d/2,0,l),e.restore()):this._renderChar(t,e,s,v,f,r,n,l),f="",o=a,r+=d,d=0);e.restore()},_applyPatternGradientTransformText:function(t){var e,i=d.util.createCanvasElement(),r=this.width+this.strokeWidth,n=this.height+this.strokeWidth;return i.width=r,i.height=n,(e=i.getContext("2d")).beginPath(),e.moveTo(0,0),e.lineTo(r,0),e.lineTo(r,n),e.lineTo(0,n),e.closePath(),e.translate(r/2,n/2),e.fillStyle=t.toLive(e),this._applyPatternGradientTransform(e,t),e.fill(),e.createPattern(i,"no-repeat")},handleFiller:function(t,e,i){var r,n;return i.toLive?"percentage"===i.gradientUnits||i.gradientTrasnform||i.patternTransform?(r=-this.width/2,n=-this.height/2,t.translate(r,n),t[e]=this._applyPatternGradientTransformText(i),{offsetX:r,offsetY:n}):(t[e]=i.toLive(t,this),this._applyPatternGradientTransform(t,i)):(t[e]=i,{offsetX:0,offsetY:0})},_setStrokeStyles:function(t,e){return t.lineWidth=e.strokeWidth,t.lineCap=this.strokeLineCap,t.lineDashOffset=this.strokeDashOffset,t.lineJoin=this.strokeLineJoin,t.miterLimit=this.strokeMiterLimit,this.handleFiller(t,"strokeStyle",e.stroke)},_setFillStyles:function(t,e){return this.handleFiller(t,"fillStyle",e.fill)},_renderChar:function(t,e,i,r,n,s,o){var a,h,c=this._getStyleDeclaration(i,r),l=this.getCompleteStyleDeclaration(i,r),u="fillText"===t&&l.fill,f="strokeText"===t&&l.stroke&&l.strokeWidth;(f||u)&&(e.save(),u&&(a=this._setFillStyles(e,l)),f&&(h=this._setStrokeStyles(e,l)),e.font=this._getFontDeclaration(l),c&&c.textBackgroundColor&&this._removeShadow(e),c&&c.deltaY&&(o+=c.deltaY),u&&e.fillText(n,s-a.offsetX,o-a.offsetY),f&&e.strokeText(n,s-h.offsetX,o-h.offsetY),e.restore())},setSuperscript:function(t,e){return this._setScript(t,e,this.superscript)},setSubscript:function(t,e){return this._setScript(t,e,this.subscript)},_setScript:function(t,e,i){var r=this.get2DCursorLocation(t,!0),n=this.getValueOfPropertyAt(r.lineIndex,r.charIndex,"fontSize"),s=this.getValueOfPropertyAt(r.lineIndex,r.charIndex,"deltaY"),o={fontSize:n*i.size,deltaY:s+n*i.baseline};return this.setSelectionStyles(o,t,e),this},_hasStyleChanged:function(t,e){return t.fill!==e.fill||t.stroke!==e.stroke||t.strokeWidth!==e.strokeWidth||t.fontSize!==e.fontSize||t.fontFamily!==e.fontFamily||t.fontWeight!==e.fontWeight||t.fontStyle!==e.fontStyle||t.deltaY!==e.deltaY},_hasStyleChangedForSvg:function(t,e){return this._hasStyleChanged(t,e)||t.overline!==e.overline||t.underline!==e.underline||t.linethrough!==e.linethrough},_getLineLeftOffset:function(t){var e=this.getLineWidth(t);return"center"===this.textAlign?(this.width-e)/2:"right"===this.textAlign?this.width-e:"justify-center"===this.textAlign&&this.isEndOfWrapping(t)?(this.width-e)/2:"justify-right"===this.textAlign&&this.isEndOfWrapping(t)?this.width-e:0},_clearCache:function(){this.__lineWidths=[],this.__lineHeights=[],this.__charBounds=[]},_shouldClearDimensionCache:function(){var t=this._forceClearCache;return t||(t=this.hasStateChanged("_dimensionAffectingProps")),t&&(this.dirty=!0,this._forceClearCache=!1),t},getLineWidth:function(t){return this.__lineWidths[t]?this.__lineWidths[t]:(e=""===this._textLines[t]?0:this.measureLine(t).width,this.__lineWidths[t]=e);var e},_getWidthOfCharSpacing:function(){return 0!==this.charSpacing?this.fontSize*this.charSpacing/1e3:0},getValueOfPropertyAt:function(t,e,i){var r=this._getStyleDeclaration(t,e);return r&&void 0!==r[i]?r[i]:this[i]},_renderTextDecoration:function(t,e){if(this[e]||this.styleHas(e)){for(var i,r,n,s,o,a,h,c,l,u,f,d,g,p,v,m,b=this._getLeftOffset(),y=this._getTopOffset(),_=this.path,x=this._getWidthOfCharSpacing(),C=0,S=this._textLines.length;C<S;C++)if(i=this.getHeightOfLine(C),this[e]||this.styleHas(e,C)){h=this._textLines[C],p=i/this.lineHeight,s=this._getLineLeftOffset(C),f=u=0,c=this.getValueOfPropertyAt(C,0,e),m=this.getValueOfPropertyAt(C,0,"fill"),l=y+p*(1-this._fontSizeFraction),r=this.getHeightOfChar(C,0),o=this.getValueOfPropertyAt(C,0,"deltaY");for(var T=0,w=h.length;T<w;T++)d=this.__charBounds[C][T],g=this.getValueOfPropertyAt(C,T,e),v=this.getValueOfPropertyAt(C,T,"fill"),n=this.getHeightOfChar(C,T),a=this.getValueOfPropertyAt(C,T,"deltaY"),_&&g&&v?(t.save(),t.fillStyle=m,t.translate(d.renderLeft,d.renderTop),t.rotate(d.angle),t.fillRect(-d.kernedWidth/2,this.offsets[e]*n+a,d.kernedWidth,this.fontSize/15),t.restore()):(g!==c||v!==m||n!==r||a!==o)&&0<f?(c&&m&&t.fillRect(b+s+u,l+this.offsets[e]*r+o,f,this.fontSize/15),u=d.left,f=d.width,c=g,m=v,r=n,o=a):f+=d.kernedWidth;t.fillStyle=v,g&&v&&t.fillRect(b+s+u,l+this.offsets[e]*r+o,f-x,this.fontSize/15),y+=i}else y+=i;this._removeShadow(t)}},_getFontDeclaration:function(t,e){var i=t||this,r=this.fontFamily,n=-1<d.Text.genericFonts.indexOf(r.toLowerCase()),s=void 0===r||-1<r.indexOf("'")||-1<r.indexOf(",")||-1<r.indexOf('"')||n?i.fontFamily:'"'+i.fontFamily+'"';return[d.isLikelyNode?i.fontWeight:i.fontStyle,d.isLikelyNode?i.fontStyle:i.fontWeight,e?this.CACHE_FONT_SIZE+"px":i.fontSize+"px",s].join(" ")},render:function(t){this.visible&&(this.canvas&&this.canvas.skipOffscreen&&!this.group&&!this.isOnScreen()||(this._shouldClearDimensionCache()&&this.initDimensions(),this.callSuper("render",t)))},_splitTextIntoLines:function(t){for(var e=t.split(this._reNewline),i=new Array(e.length),r=["\n"],n=[],s=0;s<e.length;s++)i[s]=d.util.string.graphemeSplit(e[s]),n=n.concat(i[s],r);return n.pop(),{_unwrappedLines:i,lines:e,graphemeText:n,graphemeLines:i}},toObject:function(t){var e=["text","fontSize","fontWeight","fontFamily","fontStyle","lineHeight","underline","overline","linethrough","textAlign","textBackgroundColor","charSpacing"].concat(t),i=this.callSuper("toObject",e);return i.styles=g(this.styles,!0),i},set:function(t,e){this.callSuper("set",t,e);var i=!1,r=!1;if("object"==typeof t)for(var n in t)"path"===n&&this.setPathInfo(),i=i||-1!==this._dimensionAffectingProps.indexOf(n),r=r||"path"===n;else i=-1!==this._dimensionAffectingProps.indexOf(t),r="path"===t;return r&&this.setPathInfo(),i&&(this.initDimensions(),this.setCoords()),this},complexity:function(){return 1}}),d.Text.ATTRIBUTE_NAMES=d.SHARED_ATTRIBUTES.concat("x y dx dy font-family font-style font-weight font-size letter-spacing text-decoration text-anchor".split(" ")),d.Text.DEFAULT_SVG_FONT_SIZE=16,d.Text.fromElement=function(t,e,i){if(!t)return e(null);var r=d.parseAttributes(t,d.Text.ATTRIBUTE_NAMES),n=r.textAnchor||"left";if((i=d.util.object.extend(i?g(i):{},r)).top=i.top||0,i.left=i.left||0,r.textDecoration){var s=r.textDecoration;-1!==s.indexOf("underline")&&(i.underline=!0),-1!==s.indexOf("overline")&&(i.overline=!0),-1!==s.indexOf("line-through")&&(i.linethrough=!0),delete i.textDecoration}"dx"in r&&(i.left+=r.dx),"dy"in r&&(i.top+=r.dy),"fontSize"in i||(i.fontSize=d.Text.DEFAULT_SVG_FONT_SIZE);var o="";"textContent"in t?o=t.textContent:"firstChild"in t&&null!==t.firstChild&&"data"in t.firstChild&&null!==t.firstChild.data&&(o=t.firstChild.data),o=o.replace(/^\s+|\s+$|\n+/g,"").replace(/\s+/g," ");var a=i.strokeWidth;i.strokeWidth=0;var h=new d.Text(o,i),c=h.getScaledHeight()/h.height,l=((h.height+h.strokeWidth)*h.lineHeight-h.height)*c,u=h.getScaledHeight()+l,f=0;"center"===n&&(f=h.getScaledWidth()/2),"right"===n&&(f=h.getScaledWidth()),h.set({left:h.left-f,top:h.top-(u-h.fontSize*(.07+h._fontSizeFraction))/h.lineHeight,strokeWidth:void 0!==a?a:1}),e(h)},d.Text.fromObject=function(t,e){return d.Object._fromObject("Text",t,e,"text")},d.Text.genericFonts=["sans-serif","serif","cursive","fantasy","monospace"],d.util.createAccessors&&d.util.createAccessors(d.Text)}}("undefined"!=typeof exports?exports:this),fabric.util.object.extend(fabric.Text.prototype,{isEmptyStyles:function(t){if(!this.styles)return!0;if(void 0!==t&&!this.styles[t])return!0;var e=void 0===t?this.styles:{line:this.styles[t]};for(var i in e)for(var r in e[i])for(var n in e[i][r])return!1;return!0},styleHas:function(t,e){if(!this.styles||!t||""===t)return!1;if(void 0!==e&&!this.styles[e])return!1;var i=void 0===e?this.styles:{0:this.styles[e]};for(var r in i)for(var n in i[r])if(void 0!==i[r][n][t])return!0;return!1},cleanStyle:function(t){if(!this.styles||!t||""===t)return!1;var e,i,r=this.styles,n=0,s=!0,o=0;for(var a in r){for(var h in e=0,r[a]){var c;n++,(c=r[a][h]).hasOwnProperty(t)?(i?c[t]!==i&&(s=!1):i=c[t],c[t]===this[t]&&delete c[t]):s=!1,0!==Object.keys(c).length?e++:delete r[a][h]}0===e&&delete r[a]}for(var l=0;l<this._textLines.length;l++)o+=this._textLines[l].length;s&&n===o&&(this[t]=i,this.removeStyle(t))},removeStyle:function(t){if(this.styles&&t&&""!==t){var e,i,r,n=this.styles;for(i in n){for(r in e=n[i])delete e[r][t],0===Object.keys(e[r]).length&&delete e[r];0===Object.keys(e).length&&delete n[i]}}},_extendStyles:function(t,e){var i=this.get2DCursorLocation(t);this._getLineStyle(i.lineIndex)||this._setLineStyle(i.lineIndex),this._getStyleDeclaration(i.lineIndex,i.charIndex)||this._setStyleDeclaration(i.lineIndex,i.charIndex,{}),fabric.util.object.extend(this._getStyleDeclaration(i.lineIndex,i.charIndex),e)},get2DCursorLocation:function(t,e){void 0===t&&(t=this.selectionStart);for(var i=e?this._unwrappedTextLines:this._textLines,r=i.length,n=0;n<r;n++){if(t<=i[n].length)return{lineIndex:n,charIndex:t};t-=i[n].length+this.missingNewlineOffset(n)}return{lineIndex:n-1,charIndex:i[n-1].length<t?i[n-1].length:t}},getSelectionStyles:function(t,e,i){void 0===t&&(t=this.selectionStart||0),void 0===e&&(e=this.selectionEnd||t);for(var r=[],n=t;n<e;n++)r.push(this.getStyleAtPosition(n,i));return r},getStyleAtPosition:function(t,e){var i=this.get2DCursorLocation(t);return(e?this.getCompleteStyleDeclaration(i.lineIndex,i.charIndex):this._getStyleDeclaration(i.lineIndex,i.charIndex))||{}},setSelectionStyles:function(t,e,i){void 0===e&&(e=this.selectionStart||0),void 0===i&&(i=this.selectionEnd||e);for(var r=e;r<i;r++)this._extendStyles(r,t);return this._forceClearCache=!0,this},_getStyleDeclaration:function(t,e){var i=this.styles&&this.styles[t];return i?i[e]:null},getCompleteStyleDeclaration:function(t,e){for(var i,r=this._getStyleDeclaration(t,e)||{},n={},s=0;s<this._styleProperties.length;s++)n[i=this._styleProperties[s]]=void 0===r[i]?this[i]:r[i];return n},_setStyleDeclaration:function(t,e,i){this.styles[t][e]=i},_deleteStyleDeclaration:function(t,e){delete this.styles[t][e]},_getLineStyle:function(t){return!!this.styles[t]},_setLineStyle:function(t){this.styles[t]={}},_deleteLineStyle:function(t){delete this.styles[t]}}),function(){function n(t){t.textDecoration&&(-1<t.textDecoration.indexOf("underline")&&(t.underline=!0),-1<t.textDecoration.indexOf("line-through")&&(t.linethrough=!0),-1<t.textDecoration.indexOf("overline")&&(t.overline=!0),delete t.textDecoration)}fabric.IText=fabric.util.createClass(fabric.Text,fabric.Observable,{type:"i-text",selectionStart:0,selectionEnd:0,selectionColor:"rgba(17,119,255,0.3)",isEditing:!1,editable:!0,editingBorderColor:"rgba(102,153,255,0.25)",cursorWidth:2,cursorColor:"",cursorDelay:1e3,cursorDuration:600,caching:!0,_reSpace:/\s|\n/,_currentCursorOpacity:0,_selectionDirection:null,_abortCursorAnimation:!1,__widthOfSpace:[],inCompositionMode:!1,initialize:function(t,e){this.callSuper("initialize",t,e),this.initBehavior()},setSelectionStart:function(t){t=Math.max(t,0),this._updateAndFire("selectionStart",t)},setSelectionEnd:function(t){t=Math.min(t,this.text.length),this._updateAndFire("selectionEnd",t)},_updateAndFire:function(t,e){this[t]!==e&&(this._fireSelectionChanged(),this[t]=e),this._updateTextarea()},_fireSelectionChanged:function(){this.fire("selection:changed"),this.canvas&&this.canvas.fire("text:selection:changed",{target:this})},initDimensions:function(){this.isEditing&&this.initDelayedCursor(),this.clearContextTop(),this.callSuper("initDimensions")},render:function(t){this.clearContextTop(),this.callSuper("render",t),this.cursorOffsetCache={},this.renderCursorOrSelection()},_render:function(t){this.callSuper("_render",t)},clearContextTop:function(t){if(this.isEditing&&this.canvas&&this.canvas.contextTop){var e=this.canvas.contextTop,i=this.canvas.viewportTransform;e.save(),e.transform(i[0],i[1],i[2],i[3],i[4],i[5]),this.transform(e),this._clearTextArea(e),t||e.restore()}},renderCursorOrSelection:function(){if(this.isEditing&&this.canvas&&this.canvas.contextTop){var t=this._getCursorBoundaries(),e=this.canvas.contextTop;this.clearContextTop(!0),this.selectionStart===this.selectionEnd?this.renderCursor(t,e):this.renderSelection(t,e),e.restore()}},_clearTextArea:function(t){var e=this.width+4,i=this.height+4;t.clearRect(-e/2,-i/2,e,i)},_getCursorBoundaries:function(t){void 0===t&&(t=this.selectionStart);var e=this._getLeftOffset(),i=this._getTopOffset(),r=this._getCursorBoundariesOffsets(t);return{left:e,top:i,leftOffset:r.left,topOffset:r.top}},_getCursorBoundariesOffsets:function(t){if(this.cursorOffsetCache&&"top"in this.cursorOffsetCache)return this.cursorOffsetCache;var e,i,r,n,s=0,o=0,a=this.get2DCursorLocation(t);r=a.charIndex,i=a.lineIndex;for(var h=0;h<i;h++)s+=this.getHeightOfLine(h);e=this._getLineLeftOffset(i);var c=this.__charBounds[i][r];return c&&(o=c.left),0!==this.charSpacing&&r===this._textLines[i].length&&(o-=this._getWidthOfCharSpacing()),n={top:s,left:e+(0<o?o:0)},this.cursorOffsetCache=n,this.cursorOffsetCache},renderCursor:function(t,e){var i=this.get2DCursorLocation(),r=i.lineIndex,n=0<i.charIndex?i.charIndex-1:0,s=this.getValueOfPropertyAt(r,n,"fontSize"),o=this.scaleX*this.canvas.getZoom(),a=this.cursorWidth/o,h=t.topOffset,c=this.getValueOfPropertyAt(r,n,"deltaY");h+=(1-this._fontSizeFraction)*this.getHeightOfLine(r)/this.lineHeight-s*(1-this._fontSizeFraction),this.inCompositionMode&&this.renderSelection(t,e),e.fillStyle=this.cursorColor||this.getValueOfPropertyAt(r,n,"fill"),e.globalAlpha=this.__isMousedown?1:this._currentCursorOpacity,e.fillRect(t.left+t.leftOffset-a/2,h+t.top+c,a,s)},renderSelection:function(t,e){for(var i=this.inCompositionMode?this.hiddenTextarea.selectionStart:this.selectionStart,r=this.inCompositionMode?this.hiddenTextarea.selectionEnd:this.selectionEnd,n=-1!==this.textAlign.indexOf("justify"),s=this.get2DCursorLocation(i),o=this.get2DCursorLocation(r),a=s.lineIndex,h=o.lineIndex,c=s.charIndex<0?0:s.charIndex,l=o.charIndex<0?0:o.charIndex,u=a;u<=h;u++){var f,d=this._getLineLeftOffset(u)||0,g=this.getHeightOfLine(u),p=0,v=0;if(u===a&&(p=this.__charBounds[a][c].left),a<=u&&u<h)v=n&&!this.isEndOfWrapping(u)?this.width:this.getLineWidth(u)||5;else if(u===h)if(0===l)v=this.__charBounds[h][l].left;else{var m=this._getWidthOfCharSpacing();v=this.__charBounds[h][l-1].left+this.__charBounds[h][l-1].width-m}f=g,(this.lineHeight<1||u===h&&1<this.lineHeight)&&(g/=this.lineHeight),this.inCompositionMode?(e.fillStyle=this.compositionColor||"black",e.fillRect(t.left+d+p,t.top+t.topOffset+g,v-p,1)):(e.fillStyle=this.selectionColor,e.fillRect(t.left+d+p,t.top+t.topOffset,v-p,g)),t.topOffset+=f}},getCurrentCharFontSize:function(){var t=this._getCurrentCharIndex();return this.getValueOfPropertyAt(t.l,t.c,"fontSize")},getCurrentCharColor:function(){var t=this._getCurrentCharIndex();return this.getValueOfPropertyAt(t.l,t.c,"fill")},_getCurrentCharIndex:function(){var t=this.get2DCursorLocation(this.selectionStart,!0),e=0<t.charIndex?t.charIndex-1:0;return{l:t.lineIndex,c:e}}}),fabric.IText.fromObject=function(t,e){if(n(t),t.styles)for(var i in t.styles)for(var r in t.styles[i])n(t.styles[i][r]);fabric.Object._fromObject("IText",t,e,"text")}}(),function(){var u=fabric.util.object.clone;fabric.util.object.extend(fabric.IText.prototype,{initBehavior:function(){this.initAddedHandler(),this.initRemovedHandler(),this.initCursorSelectionHandlers(),this.initDoubleClickSimulation(),this.mouseMoveHandler=this.mouseMoveHandler.bind(this)},onDeselect:function(){this.isEditing&&this.exitEditing(),this.selected=!1},initAddedHandler:function(){var e=this;this.on("added",function(){var t=e.canvas;t&&(t._hasITextHandlers||(t._hasITextHandlers=!0,e._initCanvasHandlers(t)),t._iTextInstances=t._iTextInstances||[],t._iTextInstances.push(e))})},initRemovedHandler:function(){var e=this;this.on("removed",function(){var t=e.canvas;t&&(t._iTextInstances=t._iTextInstances||[],fabric.util.removeFromArray(t._iTextInstances,e),0===t._iTextInstances.length&&(t._hasITextHandlers=!1,e._removeCanvasHandlers(t)))})},_initCanvasHandlers:function(t){t._mouseUpITextHandler=function(){t._iTextInstances&&t._iTextInstances.forEach(function(t){t.__isMousedown=!1})},t.on("mouse:up",t._mouseUpITextHandler)},_removeCanvasHandlers:function(t){t.off("mouse:up",t._mouseUpITextHandler)},_tick:function(){this._currentTickState=this._animateCursor(this,1,this.cursorDuration,"_onTickComplete")},_animateCursor:function(t,e,i,r){var n;return n={isAborted:!1,abort:function(){this.isAborted=!0}},t.animate("_currentCursorOpacity",e,{duration:i,onComplete:function(){n.isAborted||t[r]()},onChange:function(){t.canvas&&t.selectionStart===t.selectionEnd&&t.renderCursorOrSelection()},abort:function(){return n.isAborted}}),n},_onTickComplete:function(){var t=this;this._cursorTimeout1&&clearTimeout(this._cursorTimeout1),this._cursorTimeout1=setTimeout(function(){t._currentTickCompleteState=t._animateCursor(t,0,this.cursorDuration/2,"_tick")},100)},initDelayedCursor:function(t){var e=this,i=t?0:this.cursorDelay;this.abortCursorAnimation(),this._currentCursorOpacity=1,this._cursorTimeout2=setTimeout(function(){e._tick()},i)},abortCursorAnimation:function(){var t=this._currentTickState||this._currentTickCompleteState,e=this.canvas;this._currentTickState&&this._currentTickState.abort(),this._currentTickCompleteState&&this._currentTickCompleteState.abort(),clearTimeout(this._cursorTimeout1),clearTimeout(this._cursorTimeout2),this._currentCursorOpacity=0,t&&e&&e.clearContext(e.contextTop||e.contextContainer)},selectAll:function(){return this.selectionStart=0,this.selectionEnd=this._text.length,this._fireSelectionChanged(),this._updateTextarea(),this},getSelectedText:function(){return this._text.slice(this.selectionStart,this.selectionEnd).join("")},findWordBoundaryLeft:function(t){var e=0,i=t-1;if(this._reSpace.test(this._text[i]))for(;this._reSpace.test(this._text[i]);)e++,i--;for(;/\S/.test(this._text[i])&&-1<i;)e++,i--;return t-e},findWordBoundaryRight:function(t){var e=0,i=t;if(this._reSpace.test(this._text[i]))for(;this._reSpace.test(this._text[i]);)e++,i++;for(;/\S/.test(this._text[i])&&i<this._text.length;)e++,i++;return t+e},findLineBoundaryLeft:function(t){for(var e=0,i=t-1;!/\n/.test(this._text[i])&&-1<i;)e++,i--;return t-e},findLineBoundaryRight:function(t){for(var e=0,i=t;!/\n/.test(this._text[i])&&i<this._text.length;)e++,i++;return t+e},searchWordBoundary:function(t,e){for(var i=this._text,r=this._reSpace.test(i[t])?t-1:t,n=i[r],s=fabric.reNonWord;!s.test(n)&&0<r&&r<i.length;)n=i[r+=e];return s.test(n)&&(r+=1===e?0:1),r},selectWord:function(t){t=t||this.selectionStart;var e=this.searchWordBoundary(t,-1),i=this.searchWordBoundary(t,1);this.selectionStart=e,this.selectionEnd=i,this._fireSelectionChanged(),this._updateTextarea(),this.renderCursorOrSelection()},selectLine:function(t){t=t||this.selectionStart;var e=this.findLineBoundaryLeft(t),i=this.findLineBoundaryRight(t);return this.selectionStart=e,this.selectionEnd=i,this._fireSelectionChanged(),this._updateTextarea(),this},enterEditing:function(t){if(!this.isEditing&&this.editable)return this.canvas&&(this.canvas.calcOffset(),this.exitEditingOnOthers(this.canvas)),this.isEditing=!0,this.initHiddenTextarea(t),this.hiddenTextarea.focus(),this.hiddenTextarea.value=this.text,this._updateTextarea(),this._saveEditingProps(),this._setEditingProps(),this._textBeforeEdit=this.text,this._tick(),this.fire("editing:entered"),this._fireSelectionChanged(),this.canvas&&(this.canvas.fire("text:editing:entered",{target:this}),this.initMouseMoveHandler(),this.canvas.requestRenderAll()),this},exitEditingOnOthers:function(t){t._iTextInstances&&t._iTextInstances.forEach(function(t){t.selected=!1,t.isEditing&&t.exitEditing()})},initMouseMoveHandler:function(){this.canvas.on("mouse:move",this.mouseMoveHandler)},mouseMoveHandler:function(t){if(this.__isMousedown&&this.isEditing){var e=this.getSelectionStartFromPointer(t.e),i=this.selectionStart,r=this.selectionEnd;(e===this.__selectionStartOnMouseDown&&i!==r||i!==e&&r!==e)&&(e>this.__selectionStartOnMouseDown?(this.selectionStart=this.__selectionStartOnMouseDown,this.selectionEnd=e):(this.selectionStart=e,this.selectionEnd=this.__selectionStartOnMouseDown),this.selectionStart===i&&this.selectionEnd===r||(this.restartCursorIfNeeded(),this._fireSelectionChanged(),this._updateTextarea(),this.renderCursorOrSelection()))}},_setEditingProps:function(){this.hoverCursor="text",this.canvas&&(this.canvas.defaultCursor=this.canvas.moveCursor="text"),this.borderColor=this.editingBorderColor,this.hasControls=this.selectable=!1,this.lockMovementX=this.lockMovementY=!0},fromStringToGraphemeSelection:function(t,e,i){var r=i.slice(0,t),n=fabric.util.string.graphemeSplit(r).length;if(t===e)return{selectionStart:n,selectionEnd:n};var s=i.slice(t,e);return{selectionStart:n,selectionEnd:n+fabric.util.string.graphemeSplit(s).length}},fromGraphemeToStringSelection:function(t,e,i){var r=i.slice(0,t).join("").length;return t===e?{selectionStart:r,selectionEnd:r}:{selectionStart:r,selectionEnd:r+i.slice(t,e).join("").length}},_updateTextarea:function(){if(this.cursorOffsetCache={},this.hiddenTextarea){if(!this.inCompositionMode){var t=this.fromGraphemeToStringSelection(this.selectionStart,this.selectionEnd,this._text);this.hiddenTextarea.selectionStart=t.selectionStart,this.hiddenTextarea.selectionEnd=t.selectionEnd}this.updateTextareaPosition()}},updateFromTextArea:function(){if(this.hiddenTextarea){this.cursorOffsetCache={},this.text=this.hiddenTextarea.value,this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords());var t=this.fromStringToGraphemeSelection(this.hiddenTextarea.selectionStart,this.hiddenTextarea.selectionEnd,this.hiddenTextarea.value);this.selectionEnd=this.selectionStart=t.selectionEnd,this.inCompositionMode||(this.selectionStart=t.selectionStart),this.updateTextareaPosition()}},updateTextareaPosition:function(){if(this.selectionStart===this.selectionEnd){var t=this._calcTextareaPosition();this.hiddenTextarea.style.left=t.left,this.hiddenTextarea.style.top=t.top}},_calcTextareaPosition:function(){if(!this.canvas)return{x:1,y:1};var t=this.inCompositionMode?this.compositionStart:this.selectionStart,e=this._getCursorBoundaries(t),i=this.get2DCursorLocation(t),r=i.lineIndex,n=i.charIndex,s=this.getValueOfPropertyAt(r,n,"fontSize")*this.lineHeight,o=e.leftOffset,a=this.calcTransformMatrix(),h={x:e.left+o,y:e.top+e.topOffset+s},c=this.canvas.getRetinaScaling(),l=this.canvas.upperCanvasEl,u=l.width/c,f=l.height/c,d=u-s,g=f-s,p=l.clientWidth/u,v=l.clientHeight/f;return h=fabric.util.transformPoint(h,a),(h=fabric.util.transformPoint(h,this.canvas.viewportTransform)).x*=p,h.y*=v,h.x<0&&(h.x=0),h.x>d&&(h.x=d),h.y<0&&(h.y=0),h.y>g&&(h.y=g),h.x+=this.canvas._offset.left,h.y+=this.canvas._offset.top,{left:h.x+"px",top:h.y+"px",fontSize:s+"px",charHeight:s}},_saveEditingProps:function(){this._savedProps={hasControls:this.hasControls,borderColor:this.borderColor,lockMovementX:this.lockMovementX,lockMovementY:this.lockMovementY,hoverCursor:this.hoverCursor,selectable:this.selectable,defaultCursor:this.canvas&&this.canvas.defaultCursor,moveCursor:this.canvas&&this.canvas.moveCursor}},_restoreEditingProps:function(){this._savedProps&&(this.hoverCursor=this._savedProps.hoverCursor,this.hasControls=this._savedProps.hasControls,this.borderColor=this._savedProps.borderColor,this.selectable=this._savedProps.selectable,this.lockMovementX=this._savedProps.lockMovementX,this.lockMovementY=this._savedProps.lockMovementY,this.canvas&&(this.canvas.defaultCursor=this._savedProps.defaultCursor,this.canvas.moveCursor=this._savedProps.moveCursor))},exitEditing:function(){var t=this._textBeforeEdit!==this.text,e=this.hiddenTextarea;return this.selected=!1,this.isEditing=!1,this.selectionEnd=this.selectionStart,e&&(e.blur&&e.blur(),e.parentNode&&e.parentNode.removeChild(e)),this.hiddenTextarea=null,this.abortCursorAnimation(),this._restoreEditingProps(),this._currentCursorOpacity=0,this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords()),this.fire("editing:exited"),t&&this.fire("modified"),this.canvas&&(this.canvas.off("mouse:move",this.mouseMoveHandler),this.canvas.fire("text:editing:exited",{target:this}),t&&this.canvas.fire("object:modified",{target:this})),this},_removeExtraneousStyles:function(){for(var t in this.styles)this._textLines[t]||delete this.styles[t]},removeStyleFromTo:function(t,e){var i,r,n=this.get2DCursorLocation(t,!0),s=this.get2DCursorLocation(e,!0),o=n.lineIndex,a=n.charIndex,h=s.lineIndex,c=s.charIndex;if(o!==h){if(this.styles[o])for(i=a;i<this._unwrappedTextLines[o].length;i++)delete this.styles[o][i];if(this.styles[h])for(i=c;i<this._unwrappedTextLines[h].length;i++)(r=this.styles[h][i])&&(this.styles[o]||(this.styles[o]={}),this.styles[o][a+i-c]=r);for(i=o+1;i<=h;i++)delete this.styles[i];this.shiftLineStyles(h,o-h)}else if(this.styles[o]){r=this.styles[o];var l,u,f=c-a;for(i=a;i<c;i++)delete r[i];for(u in this.styles[o])c<=(l=parseInt(u,10))&&(r[l-f]=r[u],delete r[u])}},shiftLineStyles:function(t,e){var i=u(this.styles);for(var r in this.styles){var n=parseInt(r,10);t<n&&(this.styles[n+e]=i[n],i[n-e]||delete this.styles[n])}},restartCursorIfNeeded:function(){this._currentTickState&&!this._currentTickState.isAborted&&this._currentTickCompleteState&&!this._currentTickCompleteState.isAborted||this.initDelayedCursor()},insertNewlineStyleObject:function(t,e,i,r){var n,s={},o=!1,a=this._unwrappedTextLines[t].length===e;for(var h in i||(i=1),this.shiftLineStyles(t,i),this.styles[t]&&(n=this.styles[t][0===e?e:e-1]),this.styles[t]){var c=parseInt(h,10);e<=c&&(o=!0,s[c-e]=this.styles[t][h],a&&0===e||delete this.styles[t][h])}var l=!1;for(o&&!a&&(this.styles[t+i]=s,l=!0),l&&i--;0<i;)r&&r[i-1]?this.styles[t+i]={0:u(r[i-1])}:n?this.styles[t+i]={0:u(n)}:delete this.styles[t+i],i--;this._forceClearCache=!0},insertCharStyleObject:function(t,e,i,r){this.styles||(this.styles={});var n=this.styles[t],s=n?u(n):{};for(var o in i||(i=1),s){var a=parseInt(o,10);e<=a&&(n[a+i]=s[a],s[a-i]||delete n[a])}if(this._forceClearCache=!0,r)for(;i--;)Object.keys(r[i]).length&&(this.styles[t]||(this.styles[t]={}),this.styles[t][e+i]=u(r[i]));else if(n)for(var h=n[e?e-1:1];h&&i--;)this.styles[t][e+i]=u(h)},insertNewStyleBlock:function(t,e,i){for(var r=this.get2DCursorLocation(e,!0),n=[0],s=0,o=0;o<t.length;o++)"\n"===t[o]?n[++s]=0:n[s]++;0<n[0]&&(this.insertCharStyleObject(r.lineIndex,r.charIndex,n[0],i),i=i&&i.slice(n[0]+1)),s&&this.insertNewlineStyleObject(r.lineIndex,r.charIndex+n[0],s);for(o=1;o<s;o++)0<n[o]?this.insertCharStyleObject(r.lineIndex+o,0,n[o],i):i&&(this.styles[r.lineIndex+o][0]=i[0]),i=i&&i.slice(n[o]+1);0<n[o]&&this.insertCharStyleObject(r.lineIndex+o,0,n[o],i)},setSelectionStartEndWithShift:function(t,e,i){i<=t?(e===t?this._selectionDirection="left":"right"===this._selectionDirection&&(this._selectionDirection="left",this.selectionEnd=t),this.selectionStart=i):t<i&&i<e?"right"===this._selectionDirection?this.selectionEnd=i:this.selectionStart=i:(e===t?this._selectionDirection="right":"left"===this._selectionDirection&&(this._selectionDirection="right",this.selectionStart=e),this.selectionEnd=i)},setSelectionInBoundaries:function(){var t=this.text.length;this.selectionStart>t?this.selectionStart=t:this.selectionStart<0&&(this.selectionStart=0),this.selectionEnd>t?this.selectionEnd=t:this.selectionEnd<0&&(this.selectionEnd=0)}})}(),fabric.util.object.extend(fabric.IText.prototype,{initDoubleClickSimulation:function(){this.__lastClickTime=+new Date,this.__lastLastClickTime=+new Date,this.__lastPointer={},this.on("mousedown",this.onMouseDown)},onMouseDown:function(t){if(this.canvas){this.__newClickTime=+new Date;var e=t.pointer;this.isTripleClick(e)&&(this.fire("tripleclick",t),this._stopEvent(t.e)),this.__lastLastClickTime=this.__lastClickTime,this.__lastClickTime=this.__newClickTime,this.__lastPointer=e,this.__lastIsEditing=this.isEditing,this.__lastSelected=this.selected}},isTripleClick:function(t){return this.__newClickTime-this.__lastClickTime<500&&this.__lastClickTime-this.__lastLastClickTime<500&&this.__lastPointer.x===t.x&&this.__lastPointer.y===t.y},_stopEvent:function(t){t.preventDefault&&t.preventDefault(),t.stopPropagation&&t.stopPropagation()},initCursorSelectionHandlers:function(){this.initMousedownHandler(),this.initMouseupHandler(),this.initClicks()},doubleClickHandler:function(t){this.isEditing&&this.selectWord(this.getSelectionStartFromPointer(t.e))},tripleClickHandler:function(t){this.isEditing&&this.selectLine(this.getSelectionStartFromPointer(t.e))},initClicks:function(){this.on("mousedblclick",this.doubleClickHandler),this.on("tripleclick",this.tripleClickHandler)},_mouseDownHandler:function(t){!this.canvas||!this.editable||t.e.button&&1!==t.e.button||(this.__isMousedown=!0,this.selected&&(this.inCompositionMode=!1,this.setCursorByClick(t.e)),this.isEditing&&(this.__selectionStartOnMouseDown=this.selectionStart,this.selectionStart===this.selectionEnd&&this.abortCursorAnimation(),this.renderCursorOrSelection()))},_mouseDownHandlerBefore:function(t){!this.canvas||!this.editable||t.e.button&&1!==t.e.button||(this.selected=this===this.canvas._activeObject)},initMousedownHandler:function(){this.on("mousedown",this._mouseDownHandler),this.on("mousedown:before",this._mouseDownHandlerBefore)},initMouseupHandler:function(){this.on("mouseup",this.mouseUpHandler)},mouseUpHandler:function(t){if(this.__isMousedown=!1,!(!this.editable||this.group||t.transform&&t.transform.actionPerformed||t.e.button&&1!==t.e.button)){if(this.canvas){var e=this.canvas._activeObject;if(e&&e!==this)return}this.__lastSelected&&!this.__corner?(this.selected=!1,this.__lastSelected=!1,this.enterEditing(t.e),this.selectionStart===this.selectionEnd?this.initDelayedCursor(!0):this.renderCursorOrSelection()):this.selected=!0}},setCursorByClick:function(t){var e=this.getSelectionStartFromPointer(t),i=this.selectionStart,r=this.selectionEnd;t.shiftKey?this.setSelectionStartEndWithShift(i,r,e):(this.selectionStart=e,this.selectionEnd=e),this.isEditing&&(this._fireSelectionChanged(),this._updateTextarea())},getSelectionStartFromPointer:function(t){for(var e=this.getLocalPointer(t),i=0,r=0,n=0,s=0,o=0,a=0,h=this._textLines.length;a<h&&n<=e.y;a++)n+=this.getHeightOfLine(a)*this.scaleY,0<(o=a)&&(s+=this._textLines[a-1].length+this.missingNewlineOffset(a-1));r=this._getLineLeftOffset(o)*this.scaleX;for(var c=0,l=this._textLines[o].length;c<l&&(i=r,(r+=this.__charBounds[o][c].kernedWidth*this.scaleX)<=e.x);c++)s++;return this._getNewSelectionStartFromOffset(e,i,r,s,l)},_getNewSelectionStartFromOffset:function(t,e,i,r,n){var s=t.x-e,o=i-t.x,a=r+(s<o||o<0?0:1);return this.flipX&&(a=n-a),a>this._text.length&&(a=this._text.length),a}}),fabric.util.object.extend(fabric.IText.prototype,{initHiddenTextarea:function(){this.hiddenTextarea=fabric.document.createElement("textarea"),this.hiddenTextarea.setAttribute("autocapitalize","off"),this.hiddenTextarea.setAttribute("autocorrect","off"),this.hiddenTextarea.setAttribute("autocomplete","off"),this.hiddenTextarea.setAttribute("spellcheck","false"),this.hiddenTextarea.setAttribute("data-fabric-hiddentextarea",""),this.hiddenTextarea.setAttribute("wrap","off");var t=this._calcTextareaPosition();this.hiddenTextarea.style.cssText="position: absolute; top: "+t.top+"; left: "+t.left+"; z-index: -999; opacity: 0; width: 1px; height: 1px; font-size: 1px; paddingｰtop: "+t.fontSize+";",fabric.document.body.appendChild(this.hiddenTextarea),fabric.util.addListener(this.hiddenTextarea,"keydown",this.onKeyDown.bind(this)),fabric.util.addListener(this.hiddenTextarea,"keyup",this.onKeyUp.bind(this)),fabric.util.addListener(this.hiddenTextarea,"input",this.onInput.bind(this)),fabric.util.addListener(this.hiddenTextarea,"copy",this.copy.bind(this)),fabric.util.addListener(this.hiddenTextarea,"cut",this.copy.bind(this)),fabric.util.addListener(this.hiddenTextarea,"paste",this.paste.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionstart",this.onCompositionStart.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionupdate",this.onCompositionUpdate.bind(this)),fabric.util.addListener(this.hiddenTextarea,"compositionend",this.onCompositionEnd.bind(this)),!this._clickHandlerInitialized&&this.canvas&&(fabric.util.addListener(this.canvas.upperCanvasEl,"click",this.onClick.bind(this)),this._clickHandlerInitialized=!0)},keysMap:{9:"exitEditing",27:"exitEditing",33:"moveCursorUp",34:"moveCursorDown",35:"moveCursorRight",36:"moveCursorLeft",37:"moveCursorLeft",38:"moveCursorUp",39:"moveCursorRight",40:"moveCursorDown"},ctrlKeysMapUp:{67:"copy",88:"cut"},ctrlKeysMapDown:{65:"selectAll"},onClick:function(){this.hiddenTextarea&&this.hiddenTextarea.focus()},onKeyDown:function(t){if(this.isEditing){if(t.keyCode in this.keysMap)this[this.keysMap[t.keyCode]](t);else{if(!(t.keyCode in this.ctrlKeysMapDown&&(t.ctrlKey||t.metaKey)))return;this[this.ctrlKeysMapDown[t.keyCode]](t)}t.stopImmediatePropagation(),t.preventDefault(),33<=t.keyCode&&t.keyCode<=40?(this.inCompositionMode=!1,this.clearContextTop(),this.renderCursorOrSelection()):this.canvas&&this.canvas.requestRenderAll()}},onKeyUp:function(t){!this.isEditing||this._copyDone||this.inCompositionMode?this._copyDone=!1:t.keyCode in this.ctrlKeysMapUp&&(t.ctrlKey||t.metaKey)&&(this[this.ctrlKeysMapUp[t.keyCode]](t),t.stopImmediatePropagation(),t.preventDefault(),this.canvas&&this.canvas.requestRenderAll())},onInput:function(t){var e=this.fromPaste;if(this.fromPaste=!1,t&&t.stopPropagation(),this.isEditing){var i,r,n,s,o,a=this._splitTextIntoLines(this.hiddenTextarea.value).graphemeText,h=this._text.length,c=a.length,l=c-h,u=this.selectionStart,f=this.selectionEnd,d=u!==f;if(""===this.hiddenTextarea.value)return this.styles={},this.updateFromTextArea(),this.fire("changed"),void(this.canvas&&(this.canvas.fire("text:changed",{target:this}),this.canvas.requestRenderAll()));var g=this.fromStringToGraphemeSelection(this.hiddenTextarea.selectionStart,this.hiddenTextarea.selectionEnd,this.hiddenTextarea.value),p=u>g.selectionStart;d?(i=this._text.slice(u,f),l+=f-u):c<h&&(i=p?this._text.slice(f+l,f):this._text.slice(u,u-l)),r=a.slice(g.selectionEnd-l,g.selectionEnd),i&&i.length&&(r.length&&(n=this.getSelectionStyles(u,u+1,!1),n=r.map(function(){return n[0]})),d?(s=u,o=f):p?(s=f-i.length,o=f):o=(s=f)+i.length,this.removeStyleFromTo(s,o)),r.length&&(e&&r.join("")===fabric.copiedText&&!fabric.disableStyleCopyPaste&&(n=fabric.copiedTextStyle),this.insertNewStyleBlock(r,u,n)),this.updateFromTextArea(),this.fire("changed"),this.canvas&&(this.canvas.fire("text:changed",{target:this}),this.canvas.requestRenderAll())}},onCompositionStart:function(){this.inCompositionMode=!0},onCompositionEnd:function(){this.inCompositionMode=!1},onCompositionUpdate:function(t){this.compositionStart=t.target.selectionStart,this.compositionEnd=t.target.selectionEnd,this.updateTextareaPosition()},copy:function(){this.selectionStart!==this.selectionEnd&&(fabric.copiedText=this.getSelectedText(),fabric.disableStyleCopyPaste?fabric.copiedTextStyle=null:fabric.copiedTextStyle=this.getSelectionStyles(this.selectionStart,this.selectionEnd,!0),this._copyDone=!0)},paste:function(){this.fromPaste=!0},_getClipboardData:function(t){return t&&t.clipboardData||fabric.window.clipboardData},_getWidthBeforeCursor:function(t,e){var i,r=this._getLineLeftOffset(t);return 0<e&&(r+=(i=this.__charBounds[t][e-1]).left+i.width),r},getDownCursorOffset:function(t,e){var i=this._getSelectionForOffset(t,e),r=this.get2DCursorLocation(i),n=r.lineIndex;if(n===this._textLines.length-1||t.metaKey||34===t.keyCode)return this._text.length-i;var s=r.charIndex,o=this._getWidthBeforeCursor(n,s),a=this._getIndexOnLine(n+1,o);return this._textLines[n].slice(s).length+a+1+this.missingNewlineOffset(n)},_getSelectionForOffset:function(t,e){return t.shiftKey&&this.selectionStart!==this.selectionEnd&&e?this.selectionEnd:this.selectionStart},getUpCursorOffset:function(t,e){var i=this._getSelectionForOffset(t,e),r=this.get2DCursorLocation(i),n=r.lineIndex;if(0===n||t.metaKey||33===t.keyCode)return-i;var s=r.charIndex,o=this._getWidthBeforeCursor(n,s),a=this._getIndexOnLine(n-1,o),h=this._textLines[n].slice(0,s),c=this.missingNewlineOffset(n-1);return-this._textLines[n-1].length+a-h.length+(1-c)},_getIndexOnLine:function(t,e){for(var i,r,n=this._textLines[t],s=this._getLineLeftOffset(t),o=0,a=0,h=n.length;a<h;a++)if(e<(s+=i=this.__charBounds[t][a].width)){r=!0;var c=s-i,l=s,u=Math.abs(c-e);o=Math.abs(l-e)<u?a:a-1;break}return r||(o=n.length-1),o},moveCursorDown:function(t){this.selectionStart>=this._text.length&&this.selectionEnd>=this._text.length||this._moveCursorUpOrDown("Down",t)},moveCursorUp:function(t){0===this.selectionStart&&0===this.selectionEnd||this._moveCursorUpOrDown("Up",t)},_moveCursorUpOrDown:function(t,e){var i=this["get"+t+"CursorOffset"](e,"right"===this._selectionDirection);e.shiftKey?this.moveCursorWithShift(i):this.moveCursorWithoutShift(i),0!==i&&(this.setSelectionInBoundaries(),this.abortCursorAnimation(),this._currentCursorOpacity=1,this.initDelayedCursor(),this._fireSelectionChanged(),this._updateTextarea())},moveCursorWithShift:function(t){var e="left"===this._selectionDirection?this.selectionStart+t:this.selectionEnd+t;return this.setSelectionStartEndWithShift(this.selectionStart,this.selectionEnd,e),0!==t},moveCursorWithoutShift:function(t){return t<0?(this.selectionStart+=t,this.selectionEnd=this.selectionStart):(this.selectionEnd+=t,this.selectionStart=this.selectionEnd),0!==t},moveCursorLeft:function(t){0===this.selectionStart&&0===this.selectionEnd||this._moveCursorLeftOrRight("Left",t)},_move:function(t,e,i){var r;if(t.altKey)r=this["findWordBoundary"+i](this[e]);else{if(!t.metaKey&&35!==t.keyCode&&36!==t.keyCode)return this[e]+="Left"===i?-1:1,!0;r=this["findLineBoundary"+i](this[e])}if(void 0!==typeof r&&this[e]!==r)return this[e]=r,!0},_moveLeft:function(t,e){return this._move(t,e,"Left")},_moveRight:function(t,e){return this._move(t,e,"Right")},moveCursorLeftWithoutShift:function(t){var e=!0;return this._selectionDirection="left",this.selectionEnd===this.selectionStart&&0!==this.selectionStart&&(e=this._moveLeft(t,"selectionStart")),this.selectionEnd=this.selectionStart,e},moveCursorLeftWithShift:function(t){return"right"===this._selectionDirection&&this.selectionStart!==this.selectionEnd?this._moveLeft(t,"selectionEnd"):0!==this.selectionStart?(this._selectionDirection="left",this._moveLeft(t,"selectionStart")):void 0},moveCursorRight:function(t){this.selectionStart>=this._text.length&&this.selectionEnd>=this._text.length||this._moveCursorLeftOrRight("Right",t)},_moveCursorLeftOrRight:function(t,e){var i="moveCursor"+t+"With";this._currentCursorOpacity=1,e.shiftKey?i+="Shift":i+="outShift",this[i](e)&&(this.abortCursorAnimation(),this.initDelayedCursor(),this._fireSelectionChanged(),this._updateTextarea())},moveCursorRightWithShift:function(t){return"left"===this._selectionDirection&&this.selectionStart!==this.selectionEnd?this._moveRight(t,"selectionStart"):this.selectionEnd!==this._text.length?(this._selectionDirection="right",this._moveRight(t,"selectionEnd")):void 0},moveCursorRightWithoutShift:function(t){var e=!0;return this._selectionDirection="right",this.selectionStart===this.selectionEnd?(e=this._moveRight(t,"selectionStart"),this.selectionEnd=this.selectionStart):this.selectionStart=this.selectionEnd,e},removeChars:function(t,e){void 0===e&&(e=t+1),this.removeStyleFromTo(t,e),this._text.splice(t,e-t),this.text=this._text.join(""),this.set("dirty",!0),this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords()),this._removeExtraneousStyles()},insertChars:function(t,e,i,r){void 0===r&&(r=i),i<r&&this.removeStyleFromTo(i,r);var n=fabric.util.string.graphemeSplit(t);this.insertNewStyleBlock(n,i,e),this._text=[].concat(this._text.slice(0,i),n,this._text.slice(r)),this.text=this._text.join(""),this.set("dirty",!0),this._shouldClearDimensionCache()&&(this.initDimensions(),this.setCoords()),this._removeExtraneousStyles()}}),function(){var l=fabric.util.toFixed,u=/  +/g;fabric.util.object.extend(fabric.Text.prototype,{_toSVG:function(){var t=this._getSVGLeftTopOffsets(),e=this._getSVGTextAndBg(t.textTop,t.textLeft);return this._wrapSVGTextAndBg(e)},toSVG:function(t){return this._createBaseSVGMarkup(this._toSVG(),{reviver:t,noStyle:!0,withShadow:!0})},_getSVGLeftTopOffsets:function(){return{textLeft:-this.width/2,textTop:-this.height/2,lineTop:this.getHeightOfLine(0)}},_wrapSVGTextAndBg:function(t){var e=this.getSvgTextDecoration(this);return[t.textBgRects.join(""),'\t\t<text xml:space="preserve" ',this.fontFamily?'font-family="'+this.fontFamily.replace(/"/g,"'")+'" ':"",this.fontSize?'font-size="'+this.fontSize+'" ':"",this.fontStyle?'font-style="'+this.fontStyle+'" ':"",this.fontWeight?'font-weight="'+this.fontWeight+'" ':"",e?'text-decoration="'+e+'" ':"",'style="',this.getSvgStyles(!0),'"',this.addPaintOrder()," >",t.textSpans.join(""),"</text>\n"]},_getSVGTextAndBg:function(t,e){var i,r=[],n=[],s=t;this._setSVGBg(n);for(var o=0,a=this._textLines.length;o<a;o++)i=this._getLineLeftOffset(o),(this.textBackgroundColor||this.styleHas("textBackgroundColor",o))&&this._setSVGTextLineBg(n,o,e+i,s),this._setSVGTextLineText(r,o,e+i,s),s+=this.getHeightOfLine(o);return{textSpans:r,textBgRects:n}},_createTextCharSpan:function(t,e,i,r){var n=t!==t.trim()||t.match(u),s=this.getSvgSpanStyles(e,n),o=s?'style="'+s+'"':"",a=e.deltaY,h="",c=fabric.Object.NUM_FRACTION_DIGITS;return a&&(h=' dy="'+l(a,c)+'" '),['<tspan x="',l(i,c),'" y="',l(r,c),'" ',h,o,">",fabric.util.string.escapeXml(t),"</tspan>"].join("")},_setSVGTextLineText:function(t,e,i,r){var n,s,o,a,h,c=this.getHeightOfLine(e),l=-1!==this.textAlign.indexOf("justify"),u="",f=0,d=this._textLines[e];r+=c*(1-this._fontSizeFraction)/this.lineHeight;for(var g=0,p=d.length-1;g<=p;g++)h=g===p||this.charSpacing,u+=d[g],o=this.__charBounds[e][g],0===f?(i+=o.kernedWidth-o.width,f+=o.width):f+=o.kernedWidth,l&&!h&&this._reSpaceAndTab.test(d[g])&&(h=!0),h||(n=n||this.getCompleteStyleDeclaration(e,g),s=this.getCompleteStyleDeclaration(e,g+1),h=this._hasStyleChangedForSvg(n,s)),h&&(a=this._getStyleDeclaration(e,g)||{},t.push(this._createTextCharSpan(u,a,i,r)),u="",n=s,i+=f,f=0)},_pushTextBgRect:function(t,e,i,r,n,s){var o=fabric.Object.NUM_FRACTION_DIGITS;t.push("\t\t<rect ",this._getFillAttributes(e),' x="',l(i,o),'" y="',l(r,o),'" width="',l(n,o),'" height="',l(s,o),'"></rect>\n')},_setSVGTextLineBg:function(t,e,i,r){for(var n,s,o=this._textLines[e],a=this.getHeightOfLine(e)/this.lineHeight,h=0,c=0,l=this.getValueOfPropertyAt(e,0,"textBackgroundColor"),u=0,f=o.length;u<f;u++)n=this.__charBounds[e][u],(s=this.getValueOfPropertyAt(e,u,"textBackgroundColor"))!==l?(l&&this._pushTextBgRect(t,l,i+c,r,h,a),c=n.left,h=n.width,l=s):h+=n.kernedWidth;s&&this._pushTextBgRect(t,s,i+c,r,h,a)},_getFillAttributes:function(t){var e=t&&"string"==typeof t?new fabric.Color(t):"";return e&&e.getSource()&&1!==e.getAlpha()?'opacity="'+e.getAlpha()+'" fill="'+e.setAlpha(1).toRgb()+'"':'fill="'+t+'"'},_getSVGLineTopOffset:function(t){for(var e,i=0,r=0;r<t;r++)i+=this.getHeightOfLine(r);return e=this.getHeightOfLine(r),{lineTop:i,offset:(this._fontSizeMult-this._fontSizeFraction)*e/(this.lineHeight*this._fontSizeMult)}},getSvgStyles:function(t){return fabric.Object.prototype.getSvgStyles.call(this,t)+" white-space: pre;"}})}(),function(t){"use strict";var b=t.fabric||(t.fabric={});b.Textbox=b.util.createClass(b.IText,b.Observable,{type:"textbox",minWidth:20,dynamicMinWidth:2,__cachedLines:null,lockScalingFlip:!0,noScaleCache:!1,_dimensionAffectingProps:b.Text.prototype._dimensionAffectingProps.concat("width"),_wordJoiners:/[ \t\r]/,splitByGrapheme:!1,initDimensions:function(){this.__skipDimension||(this.isEditing&&this.initDelayedCursor(),this.clearContextTop(),this._clearCache(),this.dynamicMinWidth=0,this._styleMap=this._generateStyleMap(this._splitText()),this.dynamicMinWidth>this.width&&this._set("width",this.dynamicMinWidth),-1!==this.textAlign.indexOf("justify")&&this.enlargeSpaces(),this.height=this.calcTextHeight(),this.saveState({propertySet:"_dimensionAffectingProps"}))},_generateStyleMap:function(t){for(var e=0,i=0,r=0,n={},s=0;s<t.graphemeLines.length;s++)"\n"===t.graphemeText[r]&&0<s?(i=0,r++,e++):!this.splitByGrapheme&&this._reSpaceAndTab.test(t.graphemeText[r])&&0<s&&(i++,r++),n[s]={line:e,offset:i},r+=t.graphemeLines[s].length,i+=t.graphemeLines[s].length;return n},styleHas:function(t,e){if(this._styleMap&&!this.isWrapping){var i=this._styleMap[e];i&&(e=i.line)}return b.Text.prototype.styleHas.call(this,t,e)},isEmptyStyles:function(t){if(!this.styles)return!0;var e,i,r=0,n=!1,s=this._styleMap[t],o=this._styleMap[t+1];for(var a in s&&(t=s.line,r=s.offset),o&&(n=o.line===t,e=o.offset),i=void 0===t?this.styles:{line:this.styles[t]})for(var h in i[a])if(r<=h&&(!n||h<e))for(var c in i[a][h])return!1;return!0},_getStyleDeclaration:function(t,e){if(this._styleMap&&!this.isWrapping){var i=this._styleMap[t];if(!i)return null;t=i.line,e=i.offset+e}return this.callSuper("_getStyleDeclaration",t,e)},_setStyleDeclaration:function(t,e,i){var r=this._styleMap[t];t=r.line,e=r.offset+e,this.styles[t][e]=i},_deleteStyleDeclaration:function(t,e){var i=this._styleMap[t];t=i.line,e=i.offset+e,delete this.styles[t][e]},_getLineStyle:function(t){var e=this._styleMap[t];return!!this.styles[e.line]},_setLineStyle:function(t){var e=this._styleMap[t];this.styles[e.line]={}},_wrapText:function(t,e){var i,r=[];for(this.isWrapping=!0,i=0;i<t.length;i++)r=r.concat(this._wrapLine(t[i],i,e));return this.isWrapping=!1,r},_measureWord:function(t,e,i){var r,n=0;i=i||0;for(var s=0,o=t.length;s<o;s++){n+=this._getGraphemeBox(t[s],e,s+i,r,!0).kernedWidth,r=t[s]}return n},_wrapLine:function(t,e,i,r){var n=0,s=this.splitByGrapheme,o=[],a=[],h=s?b.util.string.graphemeSplit(t):t.split(this._wordJoiners),c="",l=0,u=s?"":" ",f=0,d=0,g=0,p=!0,v=this._getWidthOfCharSpacing();r=r||0;0===h.length&&h.push([]),i-=r;for(var m=0;m<h.length;m++)c=s?h[m]:b.util.string.graphemeSplit(h[m]),f=this._measureWord(c,e,l),l+=c.length,i<(n+=d+f-v)&&!p?(o.push(a),a=[],n=f,p=!0):n+=v,p||s||a.push(u),a=a.concat(c),d=s?0:this._measureWord([u],e,l),l++,p=!1,g<f&&(g=f);return m&&o.push(a),g+r>this.dynamicMinWidth&&(this.dynamicMinWidth=g-v+r),o},isEndOfWrapping:function(t){return!this._styleMap[t+1]||this._styleMap[t+1].line!==this._styleMap[t].line},missingNewlineOffset:function(t){return this.splitByGrapheme?this.isEndOfWrapping(t)?1:0:1},_splitTextIntoLines:function(t){for(var e=b.Text.prototype._splitTextIntoLines.call(this,t),i=this._wrapText(e.lines,this.width),r=new Array(i.length),n=0;n<i.length;n++)r[n]=i[n].join("");return e.lines=r,e.graphemeLines=i,e},getMinWidth:function(){return Math.max(this.minWidth,this.dynamicMinWidth)},_removeExtraneousStyles:function(){var t={};for(var e in this._styleMap)this._textLines[e]&&(t[this._styleMap[e].line]=1);for(var e in this.styles)t[e]||delete 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diff --git a/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_1001.json b/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_1001.json
deleted file mode 100644
index ab5352f957..0000000000
--- a/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_1001.json
+++ /dev/null
@@ -1 +0,0 @@
-contig1001 = [{"split":"Day17a_QCcontig1001_split_00001","gene_callers_id":19391,"start_in_split":2,"stop_in_split":275,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":2,"stop_in_contig":275,"call_type":1,"complete_gene_call":"No","length":273,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG3266!!!COG4193!!!COG5632!!!COG5632!!!COG5632","Cell division protein DamX, binds to the septal ring, contains C-terminal SPOR domain!!!Beta- N-acetylglucosaminidase!!!N-acetylmuramoyl-L-alanine amidase CwlA!!!N-acetylmuramoyl-L-alanine amidase CwlA!!!N-acetylmuramoyl-L-alanine amidase CwlA",4.3e-17],"COG14_CATEGORY":["D!!!M!!!G","D!!!M!!!G",0],"COG_CATEGORY":["D!!!M!!!G","D!!!M!!!G",0],"COG_FUNCTION":["COG3266!!!COG4193!!!COG5632!!!COG5632!!!COG5632","Cell division protein DamX, binds to the septal ring, contains C-terminal SPOR domain!!!Beta- N-acetylglucosaminidase!!!N-acetylmuramoyl-L-alanine amidase CwlA!!!N-acetylmuramoyl-L-alanine amidase CwlA!!!N-acetylmuramoyl-L-alanine amidase CwlA",4.3e-17]},"aa_sequence":"NNPNASIAYARRQGWTSPRNGIIGGAKFVRKQFFNKGKNTLYRMRWNPKNPGHMQYATAIEWCNFQATTISSLYKKVGAKGMYYIRDKYR","level":1},{"split":"Day17a_QCcontig1001_split_00001","gene_callers_id":19392,"start_in_split":330,"stop_in_split":840,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":330,"stop_in_contig":840,"call_type":1,"complete_gene_call":"Yes","length":510,"functions":null,"aa_sequence":"MLINVLNLNDSQDGNRIKQGDLSHMRYILSDTNNDDLKLDGLPAKVFLTDSTGVKYIYDTTVRQYDNAYVCDVVINQIIPANTYSLEIWVDNKYVFPSDNKAKIQVTESVIGRQLINTQNHDLWQEMIEYGVKNGLIKNQTESEENFVIGENEPTDTTKIWIDTTGGNE","level":2},{"split":"Day17a_QCcontig1001_split_00001","gene_callers_id":19393,"start_in_split":839,"stop_in_split":1370,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":839,"stop_in_contig":1370,"call_type":1,"complete_gene_call":"Yes","length":531,"functions":null,"aa_sequence":"MKAIPKIFDKEKGQWIELMAKPIAEEVVKIMKEDWLSNKKTIDYWLLSYKEQGMAEPIQLAIFTDGNEVDETLKSNLEWSFNGYVSNLQNKKLFNLQGFINDCYSRKIELPKQFKVNATVNFDSLDEPIYLQEIDNITTNVDVIGMLDESSKGSIEVKYIYNDHPIEEKKLIKENK","level":1}]
diff --git a/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_437.json b/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_437.json
deleted file mode 100644
index 559c8a8d08..0000000000
--- a/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_437.json
+++ /dev/null
@@ -1 +0,0 @@
-contig437 = 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exonuclease",9.8e-142]},"aa_sequence":"MQFSYSRVDLFKRCPYHFKLRYIDRLTELPNYEANSPLIVGHALHTGIEKGKKAMLKEFYNAFPLVTNDVINEAIKLEHNLEKAKEWLSDFNNSFSFTGGYVFIHEYEINKPEFIGFVDLIVKRKGTNDIAIIDFKYSNAIEKYKESPQLQIYKYYLEQEGYNVIAMGYLFLPKTSIRQKKDEDLIQFRKRLNVTMRKLKTTCLKIEPQEMEIIYFLNECKEIKEAIQEKTFNWIKNPNDECFACNPRFAPEYLEQLRDDKGELIMTLPKNIRREKKIDERPDFWIYGDSYVGKSTFVDKFDDLLFLNTDGNTDNTTSPVINIKDEVVKEGRITKRTFAWEQFLNVVSELETDKDSGFKAIAIDLFEDLREHCRIYVFDKNGWEHESDGGYGKGWAMVKTEFNNAIKRLKNLGYQIIYISKEVKSETTLKGGAVRTNFIPNIDDKTANFTTGTVDLTIRAFMNSDGVRLLQLSKQRNVFGGGRFNFLNDTCELSKDEFIQELINAQKASHAKITAKIKPIKEEIKEDKSVKQTVKEETKGTEEVPPGETITDKEEVIEEPKRKTRKRKSSTKEAVEEAKAEEKEETLDEKPKRTRRSRRKKTE","level":2},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14931,"start_in_split":31531,"stop_in_split":31843,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":31531,"stop_in_contig":31843,"call_type":1,"complete_gene_call":"Yes","length":312,"functions":null,"aa_sequence":"MKVVPLTKTYKNEAAFQNDVMQFLKHNPNAFAVKYWAGNKFTVNGIPDVLACINGVFHGIELKTNTGVVRGIQKERMKQIKLAGGEAYVLRPKDFEEWKRTWF","level":1},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14932,"start_in_split":31820,"stop_in_split":32138,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":31820,"stop_in_contig":32138,"call_type":1,"complete_gene_call":"Yes","length":318,"functions":null,"aa_sequence":"MIENLNLRYTEDILNNTNWINKDGEILDPISMDEGHIQNTLRLLYRNRDQLWLGCRDFTLIDVYLNGEDFFQKVIRKSTLWKSLIKALNKPSTSFNFDYEGGSID","level":2},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14933,"start_in_split":32140,"stop_in_split":33382,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":32140,"stop_in_contig":33382,"call_type":1,"complete_gene_call":"Yes","length":1242,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG0553","Superfamily II DNA or RNA helicase, SNF2 family",1.3e-108],"COG14_CATEGORY":["K!!!L","K!!!L",0],"COG_CATEGORY":["K!!!L","K!!!L",0],"COG_FUNCTION":["COG0553","Superfamily II DNA or RNA helicase, SNF2 family",1.3e-108]},"aa_sequence":"MYIQLFPHQERALEQTEQFNNVAYYLDMGLGKTFVGSEKLWELNSPYNLVICQKSKLEDWYQHFKEYYSDDYKVILFDREKLEYIEENSILIINYEKAIVRPELKKIRNFTLLLDESQYIKNPKSQRTKLIMNELKPSNVILLSGTPIDGKYEELLTQINLLGWKIKEKMFLSHYTYREWDEKEMKYKIVGYKNIDRLKRKLRNYGCVFMKTEEVFDLPKQTNIFLKPKKTKEYDEFIREGIVQLKDRKLIAETASVGTMNARLLCTAFNQNKLSMLKDLLESTEDRLIIFYQYNLEKEAIENVVKELNKPISYINGDLVDKNAYENKKSSITLVQYQSGSFGHNLQKANKIIFFGLPNRVSFFEQSRKRTHRIGQERPCFYYYMLTLGTYEWKNYQTLVDGKDYNDELFKEE","level":1},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14934,"start_in_split":33383,"stop_in_split":33473,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":33383,"stop_in_contig":33473,"call_type":1,"complete_gene_call":"Yes","length":90,"functions":null,"aa_sequence":"MNIEEFIYSINKIKEMLFEKNTEHRNENK","level":2},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14935,"start_in_split":33529,"stop_in_split":33724,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":33529,"stop_in_contig":33724,"call_type":1,"complete_gene_call":"Yes","length":195,"functions":null,"aa_sequence":"MDKSFLAFIIADFIFITMSILLGLLGVYFTTAIGWGALIAIIAFLFYDLYFFRKVIKTIKHGNA","level":1},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14936,"start_in_split":33739,"stop_in_split":34063,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":33739,"stop_in_contig":34063,"call_type":1,"complete_gene_call":"Yes","length":324,"functions":null,"aa_sequence":"MIELLNLDVLNNIIDSRILMNSPQNKEDELTAWWDIEDLKRECKKGNQWCIDMLNYPPFKNELTKLKIVYYPKHNREGYSMVAKQMKQWLIENHSIIRESASIFRTS","level":2},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14937,"start_in_split":34116,"stop_in_split":34308,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":34116,"stop_in_contig":34308,"call_type":1,"complete_gene_call":"Yes","length":192,"functions":null,"aa_sequence":"MLEQLTIKKWRVMNDMLQQDVADKLGVTRKTVGEWEKEGANISNVTVYALAKLFNIEIDQIKV","level":1},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14938,"start_in_split":34468,"stop_in_split":34804,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":34468,"stop_in_contig":34804,"call_type":1,"complete_gene_call":"Yes","length":336,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG1476","DNA-binding transcriptional regulator, XRE-family HTH domain",6.9e-9],"COG14_CATEGORY":["K","K",0],"COG_CATEGORY":["K","K",0],"COG_FUNCTION":["COG1476","DNA-binding transcriptional regulator, XRE-family HTH domain",6.9e-9]},"aa_sequence":"MGTKSARKIFSENLQRLMRNKNVDQKELAEAIGVTQPTISNWIKEVKYPRIKRIQTLADYFNVPKSELTEENFVVSKNQIAAHITPDVTEDEMREIINFIEYIKSKRNSDK","level":1},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14939,"start_in_split":34959,"stop_in_split":35334,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":34959,"stop_in_contig":35334,"call_type":1,"complete_gene_call":"Yes","length":375,"functions":null,"aa_sequence":"MHQYKELIDDINIKYIEMPNKLECLISGNDLYINERLSSSSYIRETSESYYSQSNKVTSLIPLNQIENAVITHNCTTLLKLSEFFKLPTTFIFLNLYFYSIKYSNLSFLNIFQIKRLNFNQIDT","level":1},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14940,"start_in_split":35374,"stop_in_split":36106,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":35374,"stop_in_contig":36106,"call_type":1,"complete_gene_call":"Yes","length":732,"functions":null,"aa_sequence":"MLTNLFTILWLIISIIFITFITITFVKGIKQKRYKPFLIFSIITFIVGLICFILMMIFYNIKLDNFKTITLKDGYYEVGKDIKPGHYEIKSKDNKGYIAIKGKSNYRSLNEEFGNKYGTKNKPTVPSVTTYLFKGDKISLDNTVITTFKQVENKKMNKLSAGMWIVGKDIEPGKYKVHLTYPREYGGTINILTYNFTDKSYFLSGEEAEDIGVKEFEVELKENQDFIIHHIYSVTLDKEKTSQ","level":2},{"split":"Day17a_QCcontig437_split_00001","gene_callers_id":14941,"start_in_split":36151,"stop_in_split":36421,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":36151,"stop_in_contig":36421,"call_type":1,"complete_gene_call":"Yes","length":270,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG0582","Integrase",2.8e-13],"COG14_CATEGORY":["X!!!L","X!!!L",0],"COG_CATEGORY":["X!!!L","X!!!L",0],"COG_FUNCTION":["COG0582","Integrase",2.8e-13]},"aa_sequence":"MKVTKRGNSWQYDFRFEGKRYRKTSFKTKRDATQAANKLLNDLTKGLITNNKITLTKYLNDWKEIYIKEYVSSKTYKNYCRYDKVRIIV","level":1}]
diff --git a/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_798.json b/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_798.json
deleted file mode 100644
index bdc439f172..0000000000
--- a/anvio/data/interactive/lib/genomeViewIGDDAta/genedata_798.json
+++ /dev/null
@@ -1 +0,0 @@
-contig798 = [{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18010,"start_in_split":1,"stop_in_split":676,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":1,"stop_in_contig":676,"call_type":1,"complete_gene_call":"No","length":675,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG0582","Integrase",3.7e-33],"COG14_CATEGORY":["X!!!L","X!!!L",0],"COG_CATEGORY":["X!!!L","X!!!L",0],"COG_FUNCTION":["COG0582","Integrase",3.7e-33]},"aa_sequence":"MKKDPTYNVNIKGTEKAKDEKFKFITIKDYLNLLDYFKKRDEESYVLLYLLGITGARYSDVINMTYKDLNKANGIIHLPGTKTKNSKRDVEVNSKDIMHINSKLAKMPRRIDGKLFSVSHTSVSKAFRKAKEVIGLNDNNITPYSLRHTHTSYLLSKGIPIEYISKRLGHATISQTLDTYSHLLEEHKKEQGQRVREIFSWHLFDTYSLEIPSYQRYSTETEGFE","level":1},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18011,"start_in_split":653,"stop_in_split":1142,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":653,"stop_in_contig":1142,"call_type":1,"complete_gene_call":"Yes","length":489,"functions":null,"aa_sequence":"MATFTVTKRKNKKSSSWQYDVKHPSLKSGKKRKSGFKTKAEATNAAQQFIRDLEDGNNIEDNKKFIDYYDDWIKIKNKKQLSSKQFYWYERSIKLFSEYFGENMLVKNITRSEYQKFLNQYAQGXXXXXXXXXXXXXXXXXXXXXXXXXRVIRWLFEERPYL","level":2},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18012,"start_in_split":1202,"stop_in_split":1784,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":1202,"stop_in_contig":1784,"call_type":1,"complete_gene_call":"Yes","length":582,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG1202!!!COG1202","Superfamily II helicase, archaea-specific!!!Superfamily II helicase, archaea-specific",3e-7],"COG14_CATEGORY":["L","L",0],"COG_CATEGORY":["L","L",0],"COG_FUNCTION":["COG1202!!!COG1202","Superfamily II helicase, archaea-specific!!!Superfamily II helicase, archaea-specific",3e-7]},"aa_sequence":"MKKVLFLIFASLLVLGACGQDEHKPNKDDNKKSESKSDKKSNDPKKDKKSDDKKVDSKDEKQSESKNNSDDTTNNESESTSKNDNGKSQSNNGNNERIQGKQTTQQSDNQQPQNNNGYMSQAEIDEWNRTKPTTHDESQMGYGRSEYEEARKASEKVWNNPNAHVGGPGWVGKNEGYDSWAKRQQEVQNTPAE","level":1},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18013,"start_in_split":1807,"stop_in_split":2371,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":1807,"stop_in_contig":2371,"call_type":1,"complete_gene_call":"Yes","length":564,"functions":null,"aa_sequence":"MKKVLFILLSCFLVLVACSNNNNNSKKSTSVDENKVQFTNDTLVLDQAVLKIKDTFLVNDKDLDNGKKLLAFKYEVKSKDGNEQITPMNVWIASMEAVQDSENTESKLEVGPTPNTGKFEEWDKHNGDVIKKGKTAKGIITYELENDKQVTLKATKGTEGKKLGNKKIDVSKLKTVDYSAADDIANN","level":2},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18014,"start_in_split":2422,"stop_in_split":3061,"percentage_in_split":100,"source":"prodigal","direction":"r","start_in_contig":2422,"stop_in_contig":3061,"call_type":1,"complete_gene_call":"Yes","length":639,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG1476","DNA-binding transcriptional regulator, XRE-family HTH domain",0.0000061],"COG14_CATEGORY":["K","K",0],"COG_CATEGORY":["K","K",0],"COG_FUNCTION":["COG1476","DNA-binding transcriptional regulator, XRE-family HTH domain",0.0000061]},"aa_sequence":"MAFKHSIKEIRLNNRLSKVEMAKKLDVSEGTIRMWENGKNEPRMGMIEKISSLFHVSKGYLLGEIEEATIPEIDNEIDIPYYGKVSAGNFEEMTVDNKTLKAPSFVFSGRKPSECIALQVNGDSMNKILANGSYIIVHDYRINQDYKLNSNDILVLRLGGEYTVKRVRLTETKLHLEPVSYFDEFKTNTYDIENTNEIEVIGKVIYNYQKFD","level":1},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18015,"start_in_split":3253,"stop_in_split":3514,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":3253,"stop_in_contig":3514,"call_type":1,"complete_gene_call":"Yes","length":261,"functions":null,"aa_sequence":"MNHIKQNLKLDEWRKRKGYTQSSFAYKLGISPSTYNIWENNPEIIKPKDAFKIAKVLEVSIDEIIFLKDESYFKYVLVEEKQHQTI","level":1},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18016,"start_in_split":3529,"stop_in_split":4243,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":3529,"stop_in_contig":4243,"call_type":1,"complete_gene_call":"Yes","length":714,"functions":{"KOfam":null,"KEGG_Module":null,"KEGG_Class":null,"COG14_FUNCTION":["COG3617","Prophage antirepressor",4.7e-39],"COG14_CATEGORY":["X","X",0],"COG_CATEGORY":["X","X",0],"COG_FUNCTION":["COG3617","Prophage antirepressor",4.7e-39]},"aa_sequence":"MRDLQVFNFEELPVRTLTVNEEPCFVGKDVADILGYKRTADAIREHVDAEDKGVGKIQTPGGMQNVTLINESGLYSLIFSSKLESAKRFKRWVTSEVLPTLRKTGTYQVPSDPMQALKLMFKATEQTKEEIATVKADVIDLKENQKLDTGDYNLLSRTINQRVAHIQKIHAITNQKQRSELFRDINSEVKKMTGATSRTNVRQKHFDDVLSMVANWFPSQATLYKIKQLEMDFENEV","level":2},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18017,"start_in_split":4255,"stop_in_split":4465,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":4255,"stop_in_contig":4465,"call_type":1,"complete_gene_call":"Yes","length":210,"functions":null,"aa_sequence":"MEYIGFADAKEFVKVSGISKNDLEKHVYSNKEFQEQCMYRFGKNHKRYIKIRPAIDFIEQNLMMSETAL","level":1},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18018,"start_in_split":4480,"stop_in_split":4630,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":4480,"stop_in_contig":4630,"call_type":1,"complete_gene_call":"Yes","length":150,"functions":null,"aa_sequence":"MNKLQLIKIALLTALLVEEVRNAMGNETIELITKKVNQANADNAEKHLF","level":2},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18019,"start_in_split":4933,"stop_in_split":5206,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":4933,"stop_in_contig":5206,"call_type":1,"complete_gene_call":"Yes","length":273,"functions":null,"aa_sequence":"MKHKLLKIANDLNKLILHSDEEVKVEFRNFIDGKVDISIWHYSQKYEYKCSSLSFYETHTDEELQRSFELAKDVIAGECLIDERNSDISN","level":1},{"split":"Day17a_QCcontig798_split_00001","gene_callers_id":18020,"start_in_split":5177,"stop_in_split":5414,"percentage_in_split":100,"source":"prodigal","direction":"f","start_in_contig":5177,"stop_in_contig":5414,"call_type":1,"complete_gene_call":"Yes","length":237,"functions":null,"aa_sequence":"MKETVTYLIKLKDAPFDLYITNKPSANFPTIKYSTSSGDAKDFDGLDKTVIDMTKHIAIKKTVTETTKFEEVEYDWRT","level":2}]

From 530fe85f2715cf8bdd9fa7760856df6552efe232 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Wed, 14 Apr 2021 09:05:20 -0500
Subject: [PATCH 0017/1020] pass @isaacfink21 a lookup dict for gene calls

---
 anvio/genomedescriptions.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/anvio/genomedescriptions.py b/anvio/genomedescriptions.py
index 95081a0374..ef25563ffb 100644
--- a/anvio/genomedescriptions.py
+++ b/anvio/genomedescriptions.py
@@ -1108,7 +1108,9 @@ def get_gene_associations(self):
             pan_db = dbops.PanSuperclass(self.args)
             pan_db.init_gene_clusters()
 
-            d['anvio-pangenome'] = pan_db.gene_clusters
+            d['anvio-pangenome'] = {}
+            d['anvio-pangenome']['gene-cluster-name-to-genomes-and-genes'] = pan_db.gene_clusters
+            d['anvio-pangenome']['genome-and-gene-names-to-gene-clusters'] = pan_db.gene_callers_id_to_gene_cluster
 
         return d
 

From 5e4fc49de7dd02ead3febf66e8c040ff7f5d80d3 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Wed, 14 Apr 2021 09:06:30 -0500
Subject: [PATCH 0018/1020] update the documentation

because it wasn't so clear in the documentation, I almost completely
reimplemented an existing functionality :)
---
 anvio/dbops.py | 45 +++++++++++++++++++++++++++++----------------
 1 file changed, 29 insertions(+), 16 deletions(-)

diff --git a/anvio/dbops.py b/anvio/dbops.py
index 14dcb3699e..0ecd248fad 100644
--- a/anvio/dbops.py
+++ b/anvio/dbops.py
@@ -2338,22 +2338,35 @@ def filter_gene_clusters_dict(self, args, gene_clusters_dict=None):
 
 
     def init_gene_clusters(self, gene_cluster_ids_to_focus=set([])):
-        """Initializes the gene_clusters dictionary (only for `gene_cluster_ids_to_focus` if necessary).
-
-           At the end, the structure of this dictionary looks like this:
-
-               {
-                'gene_cluster_1': {'Genome_1': [gene_1, gene_2, (...)],
-                                   'Genome_2': [],
-                                   'Genome_3': [gene_1, gene_2],
-                                   (...)}
-                'gene_cluster_2': {(...)},
-                (...)
-               }
-
-          This function also initializes alignment summaries for each gene
-          in each gene cluster. That information is stored in the dict
-          `self.gene_clusters_gene_alignments`.
+        """Initialize key gene cluster dictionaries.
+
+        The most essential dictionary generated by this fucntion is the `gene_clusters`
+        dictionary that can also be intialized exclusively for `gene_cluster_ids_to_focus`.
+        The structure of `gene_clusters` look like this:
+
+               >>> {
+               >>>  'gene_cluster_1': {'Genome_1': [gene_1, gene_2, (...)],
+               >>>                     'Genome_2': [],
+               >>>                     'Genome_3': [gene_1, gene_2],
+               >>>                     (...)}
+               >>>  'gene_cluster_2': {(...)},
+               >>>  (...)
+               >>> }
+
+        In addition, another helper dictionary that translates from genome names and gene
+        caller ids to gene cluster names, `gene_callers_id_to_gene_cluster`, is also
+        populated here based on the contents of the `gene_clusters` dictionary. The structure
+        of this dictionary looks like this:
+
+               >>> {
+               >>>  'Genome_1': {'gene_1': 'gene_cluster_x', 'gene_2': 'gene_cluster_y', (...)},
+               >>>  'Genome_2': {'gene_1': 'gene_cluster_z', 'gene_2': 'gene_cluster_x', (...)},
+               >>>  'Genome_3': {'gene_1': 'gene_cluster_x', 'gene_2': 'gene_cluster_m', (...)},
+               >>>  (...)
+               >>> }
+
+        This function also initializes alignment summaries for each gene in each gene cluster and
+        populates `self.gene_clusters_gene_alignments`.
         """
 
         self.progress.new('Initializing gene clusters')

From edb6dc4af79f2b303a3fd6ca16c876a42b10afe8 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 17 Apr 2021 13:20:56 -0500
Subject: [PATCH 0019/1020] gene cluster alignment

---
 anvio/data/interactive/js/genomeview.js | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 5c7993a53c..fe07dc7f2f 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -83,7 +83,7 @@ $(document).ready(function() {
             <tr><td>Start in Contig</td><td>${event.target.gene.start}</td></tr>
             <tr><td>Length</td><td>${event.target.gene.stop - event.target.gene.start}</td></tr>
             <tr><td>Gene Callers ID</td><td>${event.target.geneID}</td></tr>
-            <tr><td>Gene Cluster</td><td>${undefined}</td></tr>
+            <tr><td>Gene Cluster</td><td>${genomeData.gene_associations["anvio-pangenome"]["genome-and-gene-names-to-gene-clusters"][event.target.genomeID][event.target.geneID]}</td></tr>
           </table>
           <button>some action</button>
           <button>some other action</button>
@@ -225,7 +225,7 @@ $(document).ready(function() {
     }
 
     function alignToCluster(gc) {
-      if(!gc || gc in genomeData.gene_associations["anvio-pangenome"]) {
+      if(!gc || gc in genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"]) {
         alignToGC = gc;
         showLabels = !gc; // only show labels if changing to default view
         $('#toggle_label_box').attr("checked", showLabels);
@@ -238,8 +238,9 @@ $(document).ready(function() {
 
     function addGenome(label, gene_list, genomeID, y) {
       var offsetX = 0;
-      if(false && alignToGC) { /* TEMPORARILY DISABLED until proper data structure (geneID -> GC) added */
-        var targetGeneID = genomeData.gene_associations["anvio-pangenome"][genomeID][0]; /* TODO: implementation for multiple matching gene IDs */
+      if(alignToGC) { /* TEMPORARILY DISABLED until proper data structure (geneID -> GC) added */
+        var genomeGCs = genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][alignToGC][genomeID];
+        var targetGeneID = genomeGCs[0]; /* TODO: implementation for multiple matching gene IDs */
         var targetGene = gene_list[targetGeneID];
         var genePos = targetGene.start + (targetGene.stop - targetGene.start) / 2;
         //var windowCenter = fabric.util.transformPoint({x:canvas.getWidth()/2,y:0}, canvas.viewportTransform)['x'];
@@ -268,7 +269,7 @@ $(document).ready(function() {
       for(let geneID in gene_list) {
         let gene = gene_list[geneID];
         //geneGroup.addWithUpdate(geneArrow(gene,y));   // IMPORTANT: only way to select is to select the group or use indices. maybe don't group them but some alternative which lets me scale them all at once?
-        var geneObj = geneArrow(gene,geneID,genomeData.genomes[genomeID].genes.functions[geneID],y);
+        var geneObj = geneArrow(gene,geneID,genomeData.genomes[genomeID].genes.functions[geneID],y,genomeID);
         if(showLabels) {
           geneObj.left += 120;
         }
@@ -281,7 +282,7 @@ $(document).ready(function() {
       //geneGroup.destroy();
     }
 
-    function geneArrow(gene, geneID, functions, y) {
+    function geneArrow(gene, geneID, functions, y, genomeID) {
       var cag = null;
       var color = 'gray';
       if(functions) {
@@ -316,6 +317,7 @@ $(document).ready(function() {
         selectable: false,
         gene: gene,
         geneID: geneID,
+        genomeID: genomeID,
         top: -11+spacing*y,
         left: 1.5+gene.start,
         scaleX: 0.5,

From 27593e94aecfe6977b2b3c61d40738173a960c8b Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 5 May 2021 13:54:51 -0500
Subject: [PATCH 0020/1020] new canvas element for scale, rudimentary scale
 value tracking

---
 anvio/data/interactive/genomeview.html  |  1 +
 anvio/data/interactive/js/genomeview.js | 17 +++++++++++++++++
 2 files changed, 18 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 8b1af391e6..0a09ff2d69 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -16,6 +16,7 @@
     <body>
         <div class="container">
             <canvas id="myCanvas" width="1200px" height="500px"></canvas>
+            <canvas id="scale" width="1200px" height="300px"></canvas>
             <div id='tooltip-body' display='none'></div>
 
             <div id="toggle-panel-settings" onclick="toggleSettingsPanel()">
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index fe07dc7f2f..3454291869 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -21,6 +21,7 @@
  var VIEWER_WIDTH = window.innerWidth || document.documentElement.clientWidth || document.getElementsByTagName('body')[0].clientWidth;
 
  var canvas;
+ var scaleCanvas; 
  var genomeMax = 0;
 
  // Settings vars
@@ -44,6 +45,13 @@ $(document).ready(function() {
 
     function loadAll() {
       canvas = new fabric.Canvas('myCanvas');
+      scaleCanvas = new fabric.Canvas('scale') // link canvas element specifically for displaying scale, fill with default below
+      scaleCanvas.add(new fabric.Text(`${scale} nts`, {
+        strokeWidth: 1,
+        fontSize: 100,
+        fontFamily: 'sans-serif',
+        selectable: false}));
+
       $('#tooltip-body').hide() // set initual tooltip hide value
       $('#toggle_label_box').attr("checked", showLabels);
 
@@ -144,6 +152,15 @@ $(document).ready(function() {
         zoom *= 0.999 ** delta;
         if (zoom > 20) zoom = 20;
         if (zoom < 0.01) zoom = 0.01;
+
+        scale = canvas.getZoom() // set global scale to new zoom value
+        scaleCanvas.clear() // clear previous value from scale canvas, populate with updated value. 
+        scaleCanvas.add((new fabric.Text(`${scale * 100} nts`, {
+          strokeWidth: 1,
+          fontSize: 100,
+          fontFamily: 'sans-serif',
+          selectable: false})));
+
         canvas.zoomToPoint({ x: opt.e.offsetX, y: opt.e.offsetY }, zoom);
         opt.e.preventDefault();
         opt.e.stopPropagation();

From c77cadcf049eb5026729986b3e25f79c133d000f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 5 May 2021 16:22:17 -0500
Subject: [PATCH 0021/1020] rudimentary scale-reset button

---
 anvio/data/interactive/genomeview.html  |  5 ++++-
 anvio/data/interactive/js/genomeview.js | 15 +++++++++++++--
 2 files changed, 17 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 0a09ff2d69..82e900df58 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -16,7 +16,10 @@
     <body>
         <div class="container">
             <canvas id="myCanvas" width="1200px" height="500px"></canvas>
-            <canvas id="scale" width="1200px" height="300px"></canvas>
+            <div>
+              <nutton id='reset-scale' onclick="resetScale()">reset scale</nutton>
+              <canvas id="scale" width="1200px" height="300px"></canvas>
+            </div>
             <div id='tooltip-body' display='none'></div>
 
             <div id="toggle-panel-settings" onclick="toggleSettingsPanel()">
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 3454291869..e4a3df151c 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -153,9 +153,9 @@ $(document).ready(function() {
         if (zoom > 20) zoom = 20;
         if (zoom < 0.01) zoom = 0.01;
 
-        scale = canvas.getZoom() // set global scale to new zoom value
+        scale = canvas.getZoom() * 100 // set global scale to new zoom value
         scaleCanvas.clear() // clear previous value from scale canvas, populate with updated value. 
-        scaleCanvas.add((new fabric.Text(`${scale * 100} nts`, {
+        scaleCanvas.add((new fabric.Text(`${scale} nts`, {
           strokeWidth: 1,
           fontSize: 100,
           fontFamily: 'sans-serif',
@@ -393,3 +393,14 @@ function getClassFromKEGGAnnotation(class_str) {
 function getKeyByValue(object, value) {
   return Object.keys(object).find(key => object[key] === value);
 }
+
+function resetScale(){
+  scale = 100
+  canvas.setZoom(1)
+  scaleCanvas.clear() // clear previous value from scale canvas, populate with updated value. 
+  scaleCanvas.add((new fabric.Text(`${scale} nts`, {
+    strokeWidth: 1,
+    fontSize: 100,
+    fontFamily: 'sans-serif',
+    selectable: false})));
+}
\ No newline at end of file

From 76a468ebecd89410aae25e35641106715c0fffe5 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 12 May 2021 22:01:50 +0000
Subject: [PATCH 0022/1020] new canvas element to display draggable genome
 labels

---
 anvio/data/interactive/css/genomeview.css |  5 ++++
 anvio/data/interactive/genomeview.html    |  5 +++-
 anvio/data/interactive/js/genomeview.js   | 32 +++++++++++++++++++++--
 3 files changed, 39 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index 32d8d3d44b..565d1a6aba 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -128,3 +128,8 @@ a{
     color: #722;
     text-decoration: none;
 }
+
+#labelAndMainContainer{
+    display: flex;
+    flex-direction: row;
+}
\ No newline at end of file
diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 82e900df58..e3d93de68d 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -15,7 +15,10 @@
     </head>
     <body>
         <div class="container">
-            <canvas id="myCanvas" width="1200px" height="500px"></canvas>
+            <div id='labelAndMainContainer'>
+              <canvas id='genomeLabels' width="200px" height='500px'></canvas>
+              <canvas id="myCanvas" width="1200px" height="500px"></canvas>
+            </div>
             <div>
               <nutton id='reset-scale' onclick="resetScale()">reset scale</nutton>
               <canvas id="scale" width="1200px" height="300px"></canvas>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index e4a3df151c..83e3349149 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -21,13 +21,16 @@
  var VIEWER_WIDTH = window.innerWidth || document.documentElement.clientWidth || document.getElementsByTagName('body')[0].clientWidth;
 
  var canvas;
- var scaleCanvas; 
+ var scaleCanvas;
+ var genomeLabelsCanvas;
  var genomeMax = 0;
 
  // Settings vars
 
  var spacing = 30; // genome spacing
  var showLabels = true; // show genome labels?
+ var labelSpacing = 30;  // spacing default for genomeLabel canvas
+ var draggableGridUnits = 50; // 'snap' to grid for better user feedback
  var showScale = true; // show nt scale?
  var scale = 100; // nt scale intervals
 
@@ -45,7 +48,9 @@ $(document).ready(function() {
 
     function loadAll() {
       canvas = new fabric.Canvas('myCanvas');
+      genomeLabelsCanvas = new fabric.Canvas('genomeLabels');
       scaleCanvas = new fabric.Canvas('scale') // link canvas element specifically for displaying scale, fill with default below
+
       scaleCanvas.add(new fabric.Text(`${scale} nts`, {
         strokeWidth: 1,
         fontSize: 100,
@@ -74,6 +79,14 @@ $(document).ready(function() {
         $('#tooltip-body').html('').hide()
       })
 
+      genomeLabelsCanvas.on('object:moving', function(options) { 
+        console.log(options)
+        options.target.set({
+          left: Math.round(options.target.left / draggableGridUnits) * draggableGridUnits,
+          top: Math.round(options.target.top / draggableGridUnits) * draggableGridUnits
+        });
+      });
+
       function showToolTip(event){
         $('#tooltip-body').show().append(`
           <p></p>
@@ -204,6 +217,8 @@ $(document).ready(function() {
         let genome = genomeData.genomes[genomeID].genes.gene_calls;
         let label = genome[0].contig;
         addGenome(label, genome, genomeID, y)
+        drawGenomeLabels(label)
+        labelSpacing += 30
         y++;
       }
 
@@ -403,4 +418,17 @@ function resetScale(){
     fontSize: 100,
     fontFamily: 'sans-serif',
     selectable: false})));
-}
\ No newline at end of file
+}
+
+function drawGenomeLabels(label){
+  console.log(label)
+  genomeLabelsCanvas.add(new fabric.Text(label, {
+    top : labelSpacing,
+    fontSize : 15,
+    fontFamily: 'sans-serif', 
+    fontWeight: 'bold',
+    selectable : true,
+    lockMovementX : true 
+  }))
+}
+

From 28a3b06711184ea8d1e975a3dc23bcea8817f2f6 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 13 May 2021 16:49:17 +0000
Subject: [PATCH 0023/1020] remove scale controls for draggable labels

---
 anvio/data/interactive/js/genomeview.js | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 83e3349149..2122a3c6ea 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -79,8 +79,9 @@ $(document).ready(function() {
         $('#tooltip-body').html('').hide()
       })
 
-      genomeLabelsCanvas.on('object:moving', function(options) { 
-        console.log(options)
+      genomeLabelsCanvas.on('object:moving', function(options) {
+        // console.log(genomeLabelsCanvas.getBoundingRect())
+        // console.log(options.target.getBoundingRect())
         options.target.set({
           left: Math.round(options.target.left / draggableGridUnits) * draggableGridUnits,
           top: Math.round(options.target.top / draggableGridUnits) * draggableGridUnits
@@ -428,6 +429,7 @@ function drawGenomeLabels(label){
     fontFamily: 'sans-serif', 
     fontWeight: 'bold',
     selectable : true,
+    hasControls : false, 
     lockMovementX : true 
   }))
 }

From 44be5059dc7c89eb036afc31fc8920ace2dbc630 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 13 May 2021 17:10:41 +0000
Subject: [PATCH 0024/1020] tracking genome label order while dragging

---
 anvio/data/interactive/js/genomeview.js | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 2122a3c6ea..7c13bc7422 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -86,6 +86,10 @@ $(document).ready(function() {
           left: Math.round(options.target.left / draggableGridUnits) * draggableGridUnits,
           top: Math.round(options.target.top / draggableGridUnits) * draggableGridUnits
         });
+        let labelsArr = genomeLabelsCanvas.getObjects()
+        console.log('pre sort ==>', labelsArr)
+        labelsArr.sort((a,b) => (a.top > b.top) ? 1 : -1)
+        console.log('after sort ==>', labelsArr)
       });
 
       function showToolTip(event){

From fe5a1f20b92088cb4088d3c889d84e76e01ee9ca Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 14 May 2021 14:27:59 +0000
Subject: [PATCH 0025/1020] move function definitions outside jquery .ready
 method

---
 anvio/data/interactive/js/genomeview.js | 637 ++++++++++++------------
 1 file changed, 318 insertions(+), 319 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 7c13bc7422..b20d526474 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -30,7 +30,7 @@
  var spacing = 30; // genome spacing
  var showLabels = true; // show genome labels?
  var labelSpacing = 30;  // spacing default for genomeLabel canvas
- var draggableGridUnits = 50; // 'snap' to grid for better user feedback
+ var draggableGridUnits = 35; // 'snap' to grid for better user feedback
  var showScale = true; // show nt scale?
  var scale = 100; // nt scale intervals
 
@@ -45,345 +45,344 @@ var genomeData;
 
 $(document).ready(function() {
     initData();
+    loadAll()
+});
 
-    function loadAll() {
-      canvas = new fabric.Canvas('myCanvas');
-      genomeLabelsCanvas = new fabric.Canvas('genomeLabels');
-      scaleCanvas = new fabric.Canvas('scale') // link canvas element specifically for displaying scale, fill with default below
-
-      scaleCanvas.add(new fabric.Text(`${scale} nts`, {
-        strokeWidth: 1,
-        fontSize: 100,
-        fontFamily: 'sans-serif',
-        selectable: false}));
-
-      $('#tooltip-body').hide() // set initual tooltip hide value
-      $('#toggle_label_box').attr("checked", showLabels);
-
-      // can either set it on the canvas to check for all arrows, or when arrow is created.
-      canvas.on('mouse:down', function(options) {
-        if(options.target && options.target.id == 'arrow') {
-          options.target.set('fill', options.target.fill=="red" ? "blue" : 'red');
-          var testid = options.target.gene.gene_callers_id;
-          console.log(options.target.gene);
-        }
-      });
-
-      canvas.on('mouse:over', (event) => {
-        if(event.target && event.target.id === 'arrow'){
-          showToolTip(event)
+function initData() {
+// initialize the bulk of the data.
+    $.ajax({
+        type: 'POST',
+        cache: false,
+        url: '/data/get_genome_view_data',
+        async:false,
+        success: function(data) {
+            genomeData = data;
+            console.log("Saved the following data:");
+            console.log(data);
         }
-      })
-
-      canvas.on('mouse:out', (event) => {
-        $('#tooltip-body').html('').hide()
-      })
-
-      genomeLabelsCanvas.on('object:moving', function(options) {
-        // console.log(genomeLabelsCanvas.getBoundingRect())
-        // console.log(options.target.getBoundingRect())
-        options.target.set({
-          left: Math.round(options.target.left / draggableGridUnits) * draggableGridUnits,
-          top: Math.round(options.target.top / draggableGridUnits) * draggableGridUnits
-        });
-        let labelsArr = genomeLabelsCanvas.getObjects()
-        console.log('pre sort ==>', labelsArr)
-        labelsArr.sort((a,b) => (a.top > b.top) ? 1 : -1)
-        console.log('after sort ==>', labelsArr)
-      });
-
-      function showToolTip(event){
-        $('#tooltip-body').show().append(`
-          <p></p>
-          <style type="text/css">
-            .tftable {font-size:12px;color:#333333;width:100%;border-width: 1px;border-color: #729ea5;border-collapse: collapse;}
-            .tftable th {font-size:12px;background-color:#acc8cc;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;text-align:left;}
-            .tftable tr {background-color:#d4e3e5;}
-            .tftable td {font-size:12px;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;}
-            .tftable tr:hover {background-color:#ffffff;}
-          </style>
-
-          <table class="tftable" border="1">
-            <tr><th>Data</th><th>Value</th></tr>
-            <tr><td>Split</td><td>${event.target.gene.contig}</td></tr>
-            <tr><td>Start in Contig</td><td>${event.target.gene.start}</td></tr>
-            <tr><td>Length</td><td>${event.target.gene.stop - event.target.gene.start}</td></tr>
-            <tr><td>Gene Callers ID</td><td>${event.target.geneID}</td></tr>
-            <tr><td>Gene Cluster</td><td>${genomeData.gene_associations["anvio-pangenome"]["genome-and-gene-names-to-gene-clusters"][event.target.genomeID][event.target.geneID]}</td></tr>
-          </table>
-          <button>some action</button>
-          <button>some other action</button>
-          `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
-      }
-
-      $('#gene_color_order').append($('<option>', {
-        value: 'Source',
-        text: 'Source'
-      }));
-      if(cog_annotated) {
-        $('#gene_color_order').append($('<option>', {
-          value: 'COG',
-          text: 'COG'
-        }));
-      }
-      if(kegg_annotated) {
-        $('#gene_color_order').append($('<option>', {
-          value: 'KEGG',
-          text: 'KEGG'
-        }));
-      }
+    });
+}
 
-      draw();
+function loadAll() {
+  canvas = new fabric.Canvas('myCanvas');
+  genomeLabelsCanvas = new fabric.Canvas('genomeLabels');
+  scaleCanvas = new fabric.Canvas('scale') // link canvas element specifically for displaying scale, fill with default below
 
-      // zooming and panning
-      // http://fabricjs.com/fabric-intro-part-5#pan_zoom
-      canvas.on('mouse:down', function(opt) {
-        var evt = opt.e;
-        if (evt.shiftKey === true) {
-          this.isDragging = true;
-          this.selection = false;
-          this.lastPosX = evt.clientX;
-          this.lastPosY = evt.clientY;
-        }
-      });
-      canvas.on('mouse:move', function(opt) {
-        if (this.isDragging) {
-          var e = opt.e;
-          var vpt = this.viewportTransform;
-          vpt[4] += e.clientX - this.lastPosX;
-          vpt[5] += e.clientY - this.lastPosY;
-          this.requestRenderAll();
-          this.lastPosX = e.clientX;
-          this.lastPosY = e.clientY;
-        }
-      });
-      canvas.on('mouse:up', function(opt) {
-        // on mouse up we want to recalculate new interaction
-        // for all objects, so we call setViewportTransform
-        this.setViewportTransform(this.viewportTransform);
-        this.isDragging = false;
-        this.selection = true;
-      });
-      canvas.on('mouse:wheel', function(opt) {
-        var delta = opt.e.deltaY;
-        var zoom = canvas.getZoom();
-        zoom *= 0.999 ** delta;
-        if (zoom > 20) zoom = 20;
-        if (zoom < 0.01) zoom = 0.01;
-
-        scale = canvas.getZoom() * 100 // set global scale to new zoom value
-        scaleCanvas.clear() // clear previous value from scale canvas, populate with updated value. 
-        scaleCanvas.add((new fabric.Text(`${scale} nts`, {
-          strokeWidth: 1,
-          fontSize: 100,
-          fontFamily: 'sans-serif',
-          selectable: false})));
+  scaleCanvas.add(new fabric.Text(`${scale} nts`, {
+    strokeWidth: 1,
+    fontSize: 100,
+    fontFamily: 'sans-serif',
+    selectable: false}));
 
-        canvas.zoomToPoint({ x: opt.e.offsetX, y: opt.e.offsetY }, zoom);
-        opt.e.preventDefault();
-        opt.e.stopPropagation();
-      });
+  $('#tooltip-body').hide() // set initual tooltip hide value
+  $('#toggle_label_box').attr("checked", showLabels);
 
-      $('#geneClusterInput').on('keydown', function(e) {
-        if(e.keyCode == 13) { // 13 = enter key
-          alignToCluster($(this).val());
-          $(this).blur();
-        }
-      });
-      document.body.addEventListener("keydown", function(ev) {
-          if(ev.which == 83 && !$('#geneClusterInput').is(':focus')) { // S = 83
-            toggleSettingsPanel();
-          }
-      });
-      $('#gene_color_order').on('change', function() {
-          color_db = $(this).val();
-          canvas.clear();
-          draw();
-          $(this).blur();
-      });
-      $('#toggle_label_box').on('change', function() {
-        showLabels = !showLabels;
-        alignToGC = null;
-        canvas.clear();
-        draw();
-      });
+  // can either set it on the canvas to check for all arrows, or when arrow is created.
+  canvas.on('mouse:down', function(options) {
+    if(options.target && options.target.id == 'arrow') {
+      options.target.set('fill', options.target.fill=="red" ? "blue" : 'red');
+      var testid = options.target.gene.gene_callers_id;
+      console.log(options.target.gene);
     }
+  });
 
-    function draw() {
-      // Find max length genome
-      for(let genomeID in genomeData.genomes) {
-        let genome = genomeData.genomes[genomeID].genes.gene_calls;
-        let g = genome[Object.keys(genome).length-1].stop;
-        if(g > genomeMax) genomeMax = g;
-      }
-
-      var y = 1;
-      for(let genomeID in genomeData.genomes) {
-        let genome = genomeData.genomes[genomeID].genes.gene_calls;
-        let label = genome[0].contig;
-        addGenome(label, genome, genomeID, y)
-        drawGenomeLabels(label)
-        labelSpacing += 30
-        y++;
-      }
-
-      if(showScale) {
-        for(var w = 0; w < genomeMax; w+=scale) {
-          canvas.add(new fabric.Line([0,0,0,20], {left: w+(showLabels?120:0),
-                top: y*(spacing)-24,
-                stroke: 'black',
-                strokeWidth: 1,
-                fontSize: 10,
-                fontFamily: 'sans-serif',
-                selectable: false}));
-
-          canvas.add(new fabric.Text(w/1000 + " kB", {left: w+5+(showLabels?120:0),
-                top: y*(spacing)-24,
-                stroke: 'black',
-                strokeWidth: .25,
-                fontSize: 15,
-                fontFamily: 'sans-serif',
-                selectable: false}));
-        }
-
-        canvas.add(new fabric.Line([0,0,100,0], {left: (showLabels?120:0),
-              top: y*(1.25*spacing)-4,
-              stroke: 'black',
-              strokeWidth: 2,
-              selectable: false}));
-        canvas.add(new fabric.Text("100 nts", {left: 15+(showLabels?120:0),
-              top: y*(1.25*spacing)-4,
-              stroke: 'black',
-              strokeWidth: 1,
-              fontSize: 20,
-              fontFamily: 'sans-serif',
-              selectable: false}));
-      }
+  canvas.on('mouse:over', (event) => {
+    if(event.target && event.target.id === 'arrow'){
+      showToolTip(event)
     }
-
-    function alignToCluster(gc) {
-      if(!gc || gc in genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"]) {
-        alignToGC = gc;
-        showLabels = !gc; // only show labels if changing to default view
-        $('#toggle_label_box').attr("checked", showLabels);
-      } else {
-        console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
+  })
+
+  canvas.on('mouse:out', (event) => {
+    $('#tooltip-body').html('').hide()
+  })
+
+  genomeLabelsCanvas.on('object:moving', function(options) {
+    // console.log(genomeLabelsCanvas.getBoundingRect())
+    // console.log(options.target.getBoundingRect())
+    options.target.set({
+      left: Math.round(options.target.left / draggableGridUnits) * draggableGridUnits,
+      top: Math.round(options.target.top / draggableGridUnits) * draggableGridUnits
+    });
+    let labelsArr = genomeLabelsCanvas.getObjects()
+    console.log('pre sort ==>', labelsArr)
+    labelsArr.sort((a,b) => (a.top > b.top) ? 1 : -1)
+    console.log('after sort ==>', labelsArr)
+  });
+
+  function showToolTip(event){
+    $('#tooltip-body').show().append(`
+      <p></p>
+      <style type="text/css">
+        .tftable {font-size:12px;color:#333333;width:100%;border-width: 1px;border-color: #729ea5;border-collapse: collapse;}
+        .tftable th {font-size:12px;background-color:#acc8cc;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;text-align:left;}
+        .tftable tr {background-color:#d4e3e5;}
+        .tftable td {font-size:12px;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;}
+        .tftable tr:hover {background-color:#ffffff;}
+      </style>
+
+      <table class="tftable" border="1">
+        <tr><th>Data</th><th>Value</th></tr>
+        <tr><td>Split</td><td>${event.target.gene.contig}</td></tr>
+        <tr><td>Start in Contig</td><td>${event.target.gene.start}</td></tr>
+        <tr><td>Length</td><td>${event.target.gene.stop - event.target.gene.start}</td></tr>
+        <tr><td>Gene Callers ID</td><td>${event.target.geneID}</td></tr>
+        <tr><td>Gene Cluster</td><td>${genomeData.gene_associations["anvio-pangenome"]["genome-and-gene-names-to-gene-clusters"][event.target.genomeID][event.target.geneID]}</td></tr>
+      </table>
+      <button>some action</button>
+      <button>some other action</button>
+      `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
+  }
+
+  $('#gene_color_order').append($('<option>', {
+    value: 'Source',
+    text: 'Source'
+  }));
+  if(cog_annotated) {
+    $('#gene_color_order').append($('<option>', {
+      value: 'COG',
+      text: 'COG'
+    }));
+  }
+  if(kegg_annotated) {
+    $('#gene_color_order').append($('<option>', {
+      value: 'KEGG',
+      text: 'KEGG'
+    }));
+  }
+
+  draw();
+
+  // zooming and panning
+  // http://fabricjs.com/fabric-intro-part-5#pan_zoom
+  canvas.on('mouse:down', function(opt) {
+    var evt = opt.e;
+    if (evt.shiftKey === true) {
+      this.isDragging = true;
+      this.selection = false;
+      this.lastPosX = evt.clientX;
+      this.lastPosY = evt.clientY;
+    }
+  });
+  canvas.on('mouse:move', function(opt) {
+    if (this.isDragging) {
+      var e = opt.e;
+      var vpt = this.viewportTransform;
+      vpt[4] += e.clientX - this.lastPosX;
+      vpt[5] += e.clientY - this.lastPosY;
+      this.requestRenderAll();
+      this.lastPosX = e.clientX;
+      this.lastPosY = e.clientY;
+    }
+  });
+  canvas.on('mouse:up', function(opt) {
+    // on mouse up we want to recalculate new interaction
+    // for all objects, so we call setViewportTransform
+    this.setViewportTransform(this.viewportTransform);
+    this.isDragging = false;
+    this.selection = true;
+  });
+  canvas.on('mouse:wheel', function(opt) {
+    var delta = opt.e.deltaY;
+    var zoom = canvas.getZoom();
+    zoom *= 0.999 ** delta;
+    if (zoom > 20) zoom = 20;
+    if (zoom < 0.01) zoom = 0.01;
+
+    scale = canvas.getZoom() * 100 // set global scale to new zoom value
+    scaleCanvas.clear() // clear previous value from scale canvas, populate with updated value. 
+    scaleCanvas.add((new fabric.Text(`${scale} nts`, {
+      strokeWidth: 1,
+      fontSize: 100,
+      fontFamily: 'sans-serif',
+      selectable: false})));
+
+    canvas.zoomToPoint({ x: opt.e.offsetX, y: opt.e.offsetY }, zoom);
+    opt.e.preventDefault();
+    opt.e.stopPropagation();
+  });
+
+  $('#geneClusterInput').on('keydown', function(e) {
+    if(e.keyCode == 13) { // 13 = enter key
+      alignToCluster($(this).val());
+      $(this).blur();
+    }
+  });
+  document.body.addEventListener("keydown", function(ev) {
+      if(ev.which == 83 && !$('#geneClusterInput').is(':focus')) { // S = 83
+        toggleSettingsPanel();
       }
+  });
+  $('#gene_color_order').on('change', function() {
+      color_db = $(this).val();
       canvas.clear();
       draw();
-    }
-
-    function addGenome(label, gene_list, genomeID, y) {
-      var offsetX = 0;
-      if(alignToGC) { /* TEMPORARILY DISABLED until proper data structure (geneID -> GC) added */
-        var genomeGCs = genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][alignToGC][genomeID];
-        var targetGeneID = genomeGCs[0]; /* TODO: implementation for multiple matching gene IDs */
-        var targetGene = gene_list[targetGeneID];
-        var genePos = targetGene.start + (targetGene.stop - targetGene.start) / 2;
-        //var windowCenter = fabric.util.transformPoint({x:canvas.getWidth()/2,y:0}, canvas.viewportTransform)['x'];
-        var windowCenter = canvas.getWidth()/2 - canvas.viewportTransform[4]; // canvas.getWidth()/2 is clientX of center of screen
-        offsetX = windowCenter - genePos;
-        console.log('offsetX: ' + offsetX + ', genePos: ' + genePos + ', windowCenter: ' + windowCenter);
-      }
-
-      // label
-      if(showLabels) {
-        canvas.add(new fabric.Text(label, {top: spacing*y-10, selectable: false, fontSize: 15, fontFamily: 'sans-serif', fontWeight: 'bold'}));
-      }
+      $(this).blur();
+  });
+  $('#toggle_label_box').on('change', function() {
+    showLabels = !showLabels;
+    alignToGC = null;
+    canvas.clear();
+    draw();
+  });
+}
 
-      // line
-      canvas.add(new fabric.Line([0,0,genomeMax,0], {left: offsetX+(showLabels?120:0),
-            top: spacing*y - 4,
+function draw() {
+  // Find max length genome
+  for(let genomeID in genomeData.genomes) {
+    let genome = genomeData.genomes[genomeID].genes.gene_calls;
+    let g = genome[Object.keys(genome).length-1].stop;
+    if(g > genomeMax) genomeMax = g;
+  }
+
+  var y = 1;
+  for(let genomeID in genomeData.genomes) {
+    let genome = genomeData.genomes[genomeID].genes.gene_calls;
+    let label = genome[0].contig;
+    addGenome(label, genome, genomeID, y)
+    drawGenomeLabels(label)
+    labelSpacing += 30
+    y++;
+  }
+
+  if(showScale) {
+    for(var w = 0; w < genomeMax; w+=scale) {
+      canvas.add(new fabric.Line([0,0,0,20], {left: w+(showLabels?120:0),
+            top: y*(spacing)-24,
             stroke: 'black',
-            strokeWidth: 2,
+            strokeWidth: 1,
+            fontSize: 10,
+            fontFamily: 'sans-serif',
             selectable: false}));
 
-      // here we can either draw genes individually, or collectively as a group
-      // grouping allows you to transform them all at once, but makes selecting individual arrows difficult
-      // so for now they are drawn individually
-
-      //var geneGroup = new fabric.Group();
-      for(let geneID in gene_list) {
-        let gene = gene_list[geneID];
-        //geneGroup.addWithUpdate(geneArrow(gene,y));   // IMPORTANT: only way to select is to select the group or use indices. maybe don't group them but some alternative which lets me scale them all at once?
-        var geneObj = geneArrow(gene,geneID,genomeData.genomes[genomeID].genes.functions[geneID],y,genomeID);
-        if(showLabels) {
-          geneObj.left += 120;
-        }
-        if(alignToGC) {
-          geneObj.left += offsetX;
-        }
-        canvas.add(geneObj);
-      }
-      //canvas.add(geneGroup.set('scaleX',canvas.getWidth()/genomeMax/3));
-      //geneGroup.destroy();
+      canvas.add(new fabric.Text(w/1000 + " kB", {left: w+5+(showLabels?120:0),
+            top: y*(spacing)-24,
+            stroke: 'black',
+            strokeWidth: .25,
+            fontSize: 15,
+            fontFamily: 'sans-serif',
+            selectable: false}));
     }
 
-    function geneArrow(gene, geneID, functions, y, genomeID) {
-      var cag = null;
-      var color = 'gray';
-      if(functions) {
-        switch(color_db) {
-          case 'COG':
-            if(functions["COG_CATEGORY"]) cag = functions["COG_CATEGORY"][1];
-            color = cag in default_COG_colors ? default_COG_colors[cag] : 'gray';
-            break;
-          case 'KEGG':
-            if(functions.hasOwnProperty("KEGG_Class") && functions.KEGG_Class != null) {
-              cag = getCategoryForKEGGClass(functions["KEGG_Class"][1]);
-            }
-            color = cag in default_KEGG_colors ? default_KEGG_colors[cag] : 'gray';
-            break;
-          default:
-            if (gene.source.startsWith('Ribosomal_RNA')) {
-              cag = 'rRNA';
-            } else if (gene.source == 'Transfer_RNAs') {
-              cag = 'tRNA';
-            } else if (gene.functions !== null) {
-              cag = 'Function';
-            }
-            color = cag in default_source_colors ? default_source_colors[cag] : 'gray';
-        }
-      }
-      /* Issue here: each genome might be differentially annotated... how to make sure all have COG annotations for example? */
-
-      var length = gene.stop-gene.start;
-      var arrow = new fabric.Path('M 0 0 L ' + length + ' 0 L ' + length + ' 10 L 0 10 M ' + length + ' 0 L ' + length + ' 20 L ' + (25+length) + ' 5 L ' + length + ' -10 z');
-      arrow.set({
-        id: 'arrow',
-        selectable: false,
-        gene: gene,
-        geneID: geneID,
-        genomeID: genomeID,
-        top: -11+spacing*y,
-        left: 1.5+gene.start,
-        scaleX: 0.5,
-        scaleY: 0.5,
-        fill: color,
-        zoomX: 0.2,
-        zoomY: 0.2
-      });
-      if(gene.direction == 'r') arrow.rotate(180);
-
-      return arrow;
-    }
+    canvas.add(new fabric.Line([0,0,100,0], {left: (showLabels?120:0),
+          top: y*(1.25*spacing)-4,
+          stroke: 'black',
+          strokeWidth: 2,
+          selectable: false}));
+    canvas.add(new fabric.Text("100 nts", {left: 15+(showLabels?120:0),
+          top: y*(1.25*spacing)-4,
+          stroke: 'black',
+          strokeWidth: 1,
+          fontSize: 20,
+          fontFamily: 'sans-serif',
+          selectable: false}));
+  }
+}
 
-    loadAll()
-});
+function alignToCluster(gc) {
+  if(!gc || gc in genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"]) {
+    alignToGC = gc;
+    showLabels = !gc; // only show labels if changing to default view
+    $('#toggle_label_box').attr("checked", showLabels);
+  } else {
+    console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
+  }
+  canvas.clear();
+  draw();
+}
 
-function initData() {
-// initialize the bulk of the data.
-    $.ajax({
-        type: 'POST',
-        cache: false,
-        url: '/data/get_genome_view_data',
-        async:false,
-        success: function(data) {
-            genomeData = data;
-            console.log("Saved the following data:");
-            console.log(data);
+function addGenome(label, gene_list, genomeID, y) {
+  var offsetX = 0;
+  if(alignToGC) { /* TEMPORARILY DISABLED until proper data structure (geneID -> GC) added */
+    var genomeGCs = genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][alignToGC][genomeID];
+    var targetGeneID = genomeGCs[0]; /* TODO: implementation for multiple matching gene IDs */
+    var targetGene = gene_list[targetGeneID];
+    var genePos = targetGene.start + (targetGene.stop - targetGene.start) / 2;
+    //var windowCenter = fabric.util.transformPoint({x:canvas.getWidth()/2,y:0}, canvas.viewportTransform)['x'];
+    var windowCenter = canvas.getWidth()/2 - canvas.viewportTransform[4]; // canvas.getWidth()/2 is clientX of center of screen
+    offsetX = windowCenter - genePos;
+    console.log('offsetX: ' + offsetX + ', genePos: ' + genePos + ', windowCenter: ' + windowCenter);
+  }
+
+  // label
+  if(showLabels) {
+    canvas.add(new fabric.Text(label, {top: spacing*y-10, selectable: false, fontSize: 15, fontFamily: 'sans-serif', fontWeight: 'bold'}));
+  }
+
+  // line
+  canvas.add(new fabric.Line([0,0,genomeMax,0], {left: offsetX+(showLabels?120:0),
+        top: spacing*y - 4,
+        stroke: 'black',
+        strokeWidth: 2,
+        selectable: false}));
+
+  // here we can either draw genes individually, or collectively as a group
+  // grouping allows you to transform them all at once, but makes selecting individual arrows difficult
+  // so for now they are drawn individually
+
+  //var geneGroup = new fabric.Group();
+  for(let geneID in gene_list) {
+    let gene = gene_list[geneID];
+    //geneGroup.addWithUpdate(geneArrow(gene,y));   // IMPORTANT: only way to select is to select the group or use indices. maybe don't group them but some alternative which lets me scale them all at once?
+    var geneObj = geneArrow(gene,geneID,genomeData.genomes[genomeID].genes.functions[geneID],y,genomeID);
+    if(showLabels) {
+      geneObj.left += 120;
+    }
+    if(alignToGC) {
+      geneObj.left += offsetX;
+    }
+    canvas.add(geneObj);
+  }
+  //canvas.add(geneGroup.set('scaleX',canvas.getWidth()/genomeMax/3));
+  //geneGroup.destroy();
+}
+
+function geneArrow(gene, geneID, functions, y, genomeID) {
+  var cag = null;
+  var color = 'gray';
+  if(functions) {
+    switch(color_db) {
+      case 'COG':
+        if(functions["COG_CATEGORY"]) cag = functions["COG_CATEGORY"][1];
+        color = cag in default_COG_colors ? default_COG_colors[cag] : 'gray';
+        break;
+      case 'KEGG':
+        if(functions.hasOwnProperty("KEGG_Class") && functions.KEGG_Class != null) {
+          cag = getCategoryForKEGGClass(functions["KEGG_Class"][1]);
         }
-    });
+        color = cag in default_KEGG_colors ? default_KEGG_colors[cag] : 'gray';
+        break;
+      default:
+        if (gene.source.startsWith('Ribosomal_RNA')) {
+          cag = 'rRNA';
+        } else if (gene.source == 'Transfer_RNAs') {
+          cag = 'tRNA';
+        } else if (gene.functions !== null) {
+          cag = 'Function';
+        }
+        color = cag in default_source_colors ? default_source_colors[cag] : 'gray';
+    }
+  }
+  /* Issue here: each genome might be differentially annotated... how to make sure all have COG annotations for example? */
+
+  var length = gene.stop-gene.start;
+  var arrow = new fabric.Path('M 0 0 L ' + length + ' 0 L ' + length + ' 10 L 0 10 M ' + length + ' 0 L ' + length + ' 20 L ' + (25+length) + ' 5 L ' + length + ' -10 z');
+  arrow.set({
+    id: 'arrow',
+    selectable: false,
+    gene: gene,
+    geneID: geneID,
+    genomeID: genomeID,
+    top: -11+spacing*y,
+    left: 1.5+gene.start,
+    scaleX: 0.5,
+    scaleY: 0.5,
+    fill: color,
+    zoomX: 0.2,
+    zoomY: 0.2
+  });
+  if(gene.direction == 'r') arrow.rotate(180);
+
+  return arrow;
 }
 
 function toggleSettingsPanel() {

From 01caacd9e45b7f2619a851a7ad010cf2f74330a8 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 14 May 2021 18:24:41 -0500
Subject: [PATCH 0026/1020] add editable gene labels

---
 anvio/data/interactive/js/genomeview.js | 38 +++++++++++++++++++------
 1 file changed, 29 insertions(+), 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index b20d526474..2d20748276 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -29,6 +29,7 @@
 
  var spacing = 30; // genome spacing
  var showLabels = true; // show genome labels?
+ var showGeneLabels = true; // show gene labels?
  var labelSpacing = 30;  // spacing default for genomeLabel canvas
  var draggableGridUnits = 35; // 'snap' to grid for better user feedback
  var showScale = true; // show nt scale?
@@ -189,7 +190,7 @@ function loadAll() {
     if (zoom < 0.01) zoom = 0.01;
 
     scale = canvas.getZoom() * 100 // set global scale to new zoom value
-    scaleCanvas.clear() // clear previous value from scale canvas, populate with updated value. 
+    scaleCanvas.clear() // clear previous value from scale canvas, populate with updated value.
     scaleCanvas.add((new fabric.Text(`${scale} nts`, {
       strokeWidth: 1,
       fontSize: 100,
@@ -208,9 +209,9 @@ function loadAll() {
     }
   });
   document.body.addEventListener("keydown", function(ev) {
-      if(ev.which == 83 && !$('#geneClusterInput').is(':focus')) { // S = 83
-        toggleSettingsPanel();
-      }
+    if(ev.which == 83 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // S = 83
+      toggleSettingsPanel();
+    }
   });
   $('#gene_color_order').on('change', function() {
       color_db = $(this).val();
@@ -234,6 +235,10 @@ function draw() {
     if(g > genomeMax) genomeMax = g;
   }
 
+  if(showGeneLabels) {
+    spacing += 30;
+  }
+
   var y = 1;
   for(let genomeID in genomeData.genomes) {
     let genome = genomeData.genomes[genomeID].genes.gene_calls;
@@ -331,6 +336,22 @@ function addGenome(label, gene_list, genomeID, y) {
       geneObj.left += offsetX;
     }
     canvas.add(geneObj);
+    if(showGeneLabels) {
+      var label = new fabric.IText("geneID: "+geneID,{
+        top: -30+spacing*y,
+        left: 200+gene.start,
+        scaleX: 0.5,
+        scaleY: 0.5,
+        angle:-10,
+        hasControls:false,
+        lockMovementX: true,
+        lockMovementY: true,
+        lockScaling: true,
+        hoverCursor:'text',
+        selectionColor:'rgba(128,128,128,.2)'
+      });
+      canvas.add(label);
+    }
   }
   //canvas.add(geneGroup.set('scaleX',canvas.getWidth()/genomeMax/3));
   //geneGroup.destroy();
@@ -416,7 +437,7 @@ function getKeyByValue(object, value) {
 function resetScale(){
   scale = 100
   canvas.setZoom(1)
-  scaleCanvas.clear() // clear previous value from scale canvas, populate with updated value. 
+  scaleCanvas.clear() // clear previous value from scale canvas, populate with updated value.
   scaleCanvas.add((new fabric.Text(`${scale} nts`, {
     strokeWidth: 1,
     fontSize: 100,
@@ -429,11 +450,10 @@ function drawGenomeLabels(label){
   genomeLabelsCanvas.add(new fabric.Text(label, {
     top : labelSpacing,
     fontSize : 15,
-    fontFamily: 'sans-serif', 
+    fontFamily: 'sans-serif',
     fontWeight: 'bold',
     selectable : true,
-    hasControls : false, 
-    lockMovementX : true 
+    hasControls : false,
+    lockMovementX : true
   }))
 }
-

From 33be0f056f7d7c69a7356d8bb6211e17e0df3de9 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 16 May 2021 12:33:51 -0500
Subject: [PATCH 0027/1020] new gene arrow styles

---
 anvio/data/interactive/genomeview.html  | 13 ++++-
 anvio/data/interactive/js/genomeview.js | 68 +++++++++++++++++++------
 2 files changed, 65 insertions(+), 16 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index e3d93de68d..5e27f8eca4 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -130,7 +130,18 @@
                         <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
                           <label id="gene_colors_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="gene_color_order" data-original-title="" title="">Color genes by:</label>
                           <div class="col-md-8">
-                            <select id="gene_color_order" stsyle="margin-bottom: 10px" class="form-control input-xs"></select>
+                            <select id="gene_color_order" style="margin-bottom: 10px" class="form-control input-xs"></select>
+                          </div>
+                        </div>
+
+                        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
+                          <label id="arrow_style_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="arrow_style" data-original-title="" title="">Arrow style:</label>
+                          <div class="col-md-8">
+                            <select id="arrow_style" style="margin-bottom: 10px" class="form-control input-xs">
+                              <option value=1>1</option>
+                              <option value=2>2</option>
+                              <option value=3>3</option>
+                            </select>
                           </div>
                         </div>
 
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 2d20748276..c820290245 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -27,7 +27,7 @@
 
  // Settings vars
 
- var spacing = 30; // genome spacing
+ var spacing = 30; // vertical spacing between genomes
  var showLabels = true; // show genome labels?
  var showGeneLabels = true; // show gene labels?
  var labelSpacing = 30;  // spacing default for genomeLabel canvas
@@ -37,6 +37,8 @@
 
  var alignToGC = null;
 
+ var arrowStyle = 1; // gene arrow cosmetics. 1 (default) = 'inspect-page', 2 = thicker arrows, 3 = pentagon
+
  var color_db;
  var cog_annotated = true, kegg_annotated = false;
  // doesn't make sense to iterate through every gene with dozens of genomes...
@@ -219,6 +221,12 @@ function loadAll() {
       draw();
       $(this).blur();
   });
+  $('#arrow_style').on('change', function() {
+      arrowStyle = parseInt($(this).val());
+      canvas.clear();
+      draw();
+      $(this).blur();
+  });
   $('#toggle_label_box').on('change', function() {
     showLabels = !showLabels;
     alignToGC = null;
@@ -235,8 +243,8 @@ function draw() {
     if(g > genomeMax) genomeMax = g;
   }
 
-  if(showGeneLabels) {
-    spacing += 30;
+  if(showGeneLabels && arrowStyle != 3) {
+    spacing = 60;
   }
 
   var y = 1;
@@ -328,7 +336,7 @@ function addGenome(label, gene_list, genomeID, y) {
   for(let geneID in gene_list) {
     let gene = gene_list[geneID];
     //geneGroup.addWithUpdate(geneArrow(gene,y));   // IMPORTANT: only way to select is to select the group or use indices. maybe don't group them but some alternative which lets me scale them all at once?
-    var geneObj = geneArrow(gene,geneID,genomeData.genomes[genomeID].genes.functions[geneID],y,genomeID);
+    var geneObj = geneArrow(gene,geneID,genomeData.genomes[genomeID].genes.functions[geneID],y,genomeID,arrowStyle);
     if(showLabels) {
       geneObj.left += 120;
     }
@@ -336,20 +344,34 @@ function addGenome(label, gene_list, genomeID, y) {
       geneObj.left += offsetX;
     }
     canvas.add(geneObj);
+
     if(showGeneLabels) {
-      var label = new fabric.IText("geneID: "+geneID,{
-        top: -30+spacing*y,
-        left: 200+gene.start,
-        scaleX: 0.5,
-        scaleY: 0.5,
-        angle:-10,
+      var label = new fabric.IText("geneID: "+geneID, {
         hasControls:false,
         lockMovementX: true,
         lockMovementY: true,
         lockScaling: true,
-        hoverCursor:'text',
-        selectionColor:'rgba(128,128,128,.2)'
+        hoverCursor:'text'
       });
+
+      if(arrowStyle == 3) {
+        label.set({
+          top: -10+spacing*y,
+          left: 150+gene.start,
+          scaleX: 0.25,
+          scaleY: 0.25,
+          selectionColor:'rgba(128,128,128,.5)'
+        });
+      } else {
+        label.set({
+          scaleX: 0.5,
+          scaleY: 0.5,
+          top: -30+spacing*y,
+          left: 200+gene.start,
+          angle: -10,
+          selectionColor:'rgba(128,128,128,.2)'
+        });
+      }
       canvas.add(label);
     }
   }
@@ -357,7 +379,7 @@ function addGenome(label, gene_list, genomeID, y) {
   //geneGroup.destroy();
 }
 
-function geneArrow(gene, geneID, functions, y, genomeID) {
+function geneArrow(gene, geneID, functions, y, genomeID, style) {
   var cag = null;
   var color = 'gray';
   if(functions) {
@@ -386,18 +408,34 @@ function geneArrow(gene, geneID, functions, y, genomeID) {
   /* Issue here: each genome might be differentially annotated... how to make sure all have COG annotations for example? */
 
   var length = gene.stop-gene.start;
-  var arrow = new fabric.Path('M 0 0 L ' + length + ' 0 L ' + length + ' 10 L 0 10 M ' + length + ' 0 L ' + length + ' 20 L ' + (25+length) + ' 5 L ' + length + ' -10 z');
+
+  var arrowPathStr;
+  switch(style) {
+    case 2: // thicker arrows
+      arrowPathStr = 'M 0 -5 L ' + length + ' -5 L ' + length + ' 15 L 0 15 M ' + length + ' -5 L ' + length + ' 20 L ' + (25+length) + ' 5 L ' + length + ' -10 z';
+      break;
+    case 3: // pentagon arrows
+      arrowPathStr = 'M 0 0 L ' + (length-25) + ' 0 L ' + length + ' 20 L ' + (length-25) + ' 40 L 0 40 L 0 0 z';
+      break;
+    default: // 'inspect page' arrows
+      arrowPathStr = 'M 0 0 L ' + length + ' 0 L ' + length + ' 10 L 0 10 M ' + length + ' 0 L ' + length + ' 20 L ' + (25+length) + ' 5 L ' + length + ' -10 z';
+      break;
+  }
+
+  var arrow = new fabric.Path(arrowPathStr);
   arrow.set({
     id: 'arrow',
     selectable: false,
     gene: gene,
     geneID: geneID,
     genomeID: genomeID,
-    top: -11+spacing*y,
+    top: style == 3 ? -14+spacing*y : -11+spacing*y,
     left: 1.5+gene.start,
     scaleX: 0.5,
     scaleY: 0.5,
     fill: color,
+    stroke: 'gray',
+    strokeWidth: style == 3 ? 3 : 1.5,
     zoomX: 0.2,
     zoomY: 0.2
   });

From 57626f94e0ab2780a7abe821a15291858bc983f1 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 16 May 2021 12:53:41 -0500
Subject: [PATCH 0028/1020] informative arrow style names

---
 anvio/data/interactive/genomeview.html | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 5e27f8eca4..ad851cd2f2 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -138,9 +138,9 @@
                           <label id="arrow_style_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="arrow_style" data-original-title="" title="">Arrow style:</label>
                           <div class="col-md-8">
                             <select id="arrow_style" style="margin-bottom: 10px" class="form-control input-xs">
-                              <option value=1>1</option>
-                              <option value=2>2</option>
-                              <option value=3>3</option>
+                              <option value=1>Default</option>
+                              <option value=2>Wide</option>
+                              <option value=3>Pentagon</option>
                             </select>
                           </div>
                         </div>

From 18fae5a0f4a7ce9274b990fafe49580a5412d233 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 20 May 2021 17:24:22 +0000
Subject: [PATCH 0029/1020] dropdown select for genome order

---
 anvio/data/interactive/css/genomeview.css |  7 +++++++
 anvio/data/interactive/genomeview.html    | 10 +++++++++-
 2 files changed, 16 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index 565d1a6aba..fa8dab3356 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -132,4 +132,11 @@ a{
 #labelAndMainContainer{
     display: flex;
     flex-direction: row;
+}
+
+#labelAndDropdownContainer{
+    border-style: solid;
+    border-width: 1;
+    padding: 15px;
+    margin: 5px;
 }
\ No newline at end of file
diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index ad851cd2f2..37f9dd788a 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -16,7 +16,15 @@
     <body>
         <div class="container">
             <div id='labelAndMainContainer'>
-              <canvas id='genomeLabels' width="200px" height='500px'></canvas>
+              <div id='labelAndDropdownContainer'>
+                <select>
+                    <option disabled selected value> -- Genome Order -- </option>
+                    <option>Alphabetical</option>
+                    <option>Some Other Order</option>
+                    <option>A Third One</option>
+                </select>
+                <canvas id='genomeLabels' width="200px" height='500px'></canvas>
+              </div>
               <canvas id="myCanvas" width="1200px" height="500px"></canvas>
             </div>
             <div>

From 4124dbd2202e7da099b8b2e881aab71627627a42 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 20 May 2021 18:36:24 +0000
Subject: [PATCH 0030/1020] temp border for scale canvas

---
 anvio/data/interactive/css/genomeview.css | 7 +++++++
 anvio/data/interactive/genomeview.html    | 2 +-
 2 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index fa8dab3356..2d84e57fa6 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -139,4 +139,11 @@ a{
     border-width: 1;
     padding: 15px;
     margin: 5px;
+}
+
+#scaleContainer{
+    border-style: solid;
+    border-width: 1;
+    padding: 15px;
+    margin: 5px;
 }
\ No newline at end of file
diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 37f9dd788a..1a83ec7985 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -27,7 +27,7 @@
               </div>
               <canvas id="myCanvas" width="1200px" height="500px"></canvas>
             </div>
-            <div>
+            <div id='scaleContainer'>
               <nutton id='reset-scale' onclick="resetScale()">reset scale</nutton>
               <canvas id="scale" width="1200px" height="300px"></canvas>
             </div>

From f60adf5e95ed8b637de63da767ae18e79b2536d3 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 20 May 2021 18:50:29 +0000
Subject: [PATCH 0031/1020] rect obj for zoom

---
 anvio/data/interactive/genomeview.html  |  2 +-
 anvio/data/interactive/js/genomeview.js | 18 +++++++++++++-----
 2 files changed, 14 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 1a83ec7985..48d25d0260 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -29,7 +29,7 @@
             </div>
             <div id='scaleContainer'>
               <nutton id='reset-scale' onclick="resetScale()">reset scale</nutton>
-              <canvas id="scale" width="1200px" height="300px"></canvas>
+              <canvas id="scale" width="1200px" height="200px"></canvas>
             </div>
             <div id='tooltip-body' display='none'></div>
 
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index c820290245..d933faae77 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -71,11 +71,19 @@ function loadAll() {
   genomeLabelsCanvas = new fabric.Canvas('genomeLabels');
   scaleCanvas = new fabric.Canvas('scale') // link canvas element specifically for displaying scale, fill with default below
 
-  scaleCanvas.add(new fabric.Text(`${scale} nts`, {
-    strokeWidth: 1,
-    fontSize: 100,
-    fontFamily: 'sans-serif',
-    selectable: false}));
+  // scaleCanvas.add(new fabric.Text(`${scale} nts`, {
+  //   strokeWidth: 1,
+  //   fontSize: 100,
+  //   fontFamily: 'sans-serif',
+  //   selectable: false}));
+  scaleCanvas.add(new fabric.Rect({
+    width: 1200, 
+    height : 200, 
+    fill : 'pink',
+    opacity : .6,
+    selectable : false, 
+    
+  }))
 
   $('#tooltip-body').hide() // set initual tooltip hide value
   $('#toggle_label_box').attr("checked", showLabels);

From fe723e35e6ce1e2f2bf15b41034a7a3720331973 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 20 May 2021 19:41:41 +0000
Subject: [PATCH 0032/1020] tracking click + drag in scale rect element

---
 anvio/data/interactive/js/genomeview.js | 16 +++++++++++++++-
 1 file changed, 15 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index d933faae77..026f38d61f 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -82,8 +82,22 @@ function loadAll() {
     fill : 'pink',
     opacity : .6,
     selectable : false, 
-    
+
   }))
+  let scaleDragStartingX; 
+  scaleCanvas.on('mouse:down', function(event){
+    scaleDragStartingX = event.pointer.x
+  })
+  scaleCanvas.on('mouse:up', function(event){
+    let scaleDragEndingX = event.pointer.x // click + drag ending x position
+    let totalScaleX = event.target.aCoords.tr.x // total x axis length 
+
+    if(scaleDragStartingX === scaleDragEndingX){ //account for accidental drag, click and release
+      return 
+    }
+  })
+
+
 
   $('#tooltip-body').hide() // set initual tooltip hide value
   $('#toggle_label_box').attr("checked", showLabels);

From be7a01ffa6b7bc929fbd2d8bbcf4479cbb79014c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 20 May 2021 19:46:52 +0000
Subject: [PATCH 0033/1020] calculate x-axis percentile of dragged area

---
 anvio/data/interactive/js/genomeview.js | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 026f38d61f..5b2b82e81b 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -85,16 +85,20 @@ function loadAll() {
 
   }))
   let scaleDragStartingX; 
+  let totalScaleX
+
   scaleCanvas.on('mouse:down', function(event){
     scaleDragStartingX = event.pointer.x
   })
   scaleCanvas.on('mouse:up', function(event){
     let scaleDragEndingX = event.pointer.x // click + drag ending x position
-    let totalScaleX = event.target.aCoords.tr.x // total x axis length 
+    totalScaleX = event.target.aCoords.tr.x // total x axis length 
 
     if(scaleDragStartingX === scaleDragEndingX){ //account for accidental drag, click and release
       return 
     }
+    let [percentileStart, percentileEnd] = [scaleDragStartingX/totalScaleX, scaleDragEndingX/totalScaleX]
+    console.log(percentileStart, percentileEnd)
   })
 
 

From c6fa8e792840345d395b3eed3fd1eef629143313 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 20 May 2021 21:02:08 +0000
Subject: [PATCH 0034/1020] reactive movement in main canvas from drag event

---
 anvio/data/interactive/js/genomeview.js | 25 +++++++++++++++----------
 1 file changed, 15 insertions(+), 10 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 5b2b82e81b..780edb0af4 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -87,18 +87,23 @@ function loadAll() {
   let scaleDragStartingX; 
   let totalScaleX
 
-  scaleCanvas.on('mouse:down', function(event){
+  scaleCanvas.on('mouse:down', (event) => {
     scaleDragStartingX = event.pointer.x
   })
-  scaleCanvas.on('mouse:up', function(event){
+  scaleCanvas.on('mouse:up', (event) => {
     let scaleDragEndingX = event.pointer.x // click + drag ending x position
     totalScaleX = event.target.aCoords.tr.x // total x axis length 
 
     if(scaleDragStartingX === scaleDragEndingX){ //account for accidental drag, click and release
       return 
     }
+    let mainCanvasWidth = canvas.getWidth()
     let [percentileStart, percentileEnd] = [scaleDragStartingX/totalScaleX, scaleDragEndingX/totalScaleX]
-    console.log(percentileStart, percentileEnd)
+
+    let moveTo = new fabric.Point(mainCanvasWidth * percentileStart, 0)
+    canvas.absolutePan({x: moveTo.x, y: 0})
+    // need a way to calculate pixel length of entire sequence so we can move 
+    // to location at cooresponding percentile from drag event. 
   })
 
 
@@ -217,13 +222,13 @@ function loadAll() {
     if (zoom > 20) zoom = 20;
     if (zoom < 0.01) zoom = 0.01;
 
-    scale = canvas.getZoom() * 100 // set global scale to new zoom value
-    scaleCanvas.clear() // clear previous value from scale canvas, populate with updated value.
-    scaleCanvas.add((new fabric.Text(`${scale} nts`, {
-      strokeWidth: 1,
-      fontSize: 100,
-      fontFamily: 'sans-serif',
-      selectable: false})));
+    // scale = canvas.getZoom() * 100 // set global scale to new zoom value
+    // scaleCanvas.clear() // clear previous value from scale canvas, populate with updated value.
+    // scaleCanvas.add((new fabric.Text(`${scale} nts`, {
+    //   strokeWidth: 1,
+    //   fontSize: 100,
+    //   fontFamily: 'sans-serif',
+    //   selectable: false})));
 
     canvas.zoomToPoint({ x: opt.e.offsetX, y: opt.e.offsetY }, zoom);
     opt.e.preventDefault();

From d06c83a84baf46962759a8fe339ef2f8e0ed8a2b Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 20 May 2021 21:04:10 +0000
Subject: [PATCH 0035/1020] cleaning up my mess

---
 anvio/data/interactive/js/genomeview.js | 19 ++-----------------
 1 file changed, 2 insertions(+), 17 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 780edb0af4..a1a6a47f89 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -69,13 +69,7 @@ function initData() {
 function loadAll() {
   canvas = new fabric.Canvas('myCanvas');
   genomeLabelsCanvas = new fabric.Canvas('genomeLabels');
-  scaleCanvas = new fabric.Canvas('scale') // link canvas element specifically for displaying scale, fill with default below
-
-  // scaleCanvas.add(new fabric.Text(`${scale} nts`, {
-  //   strokeWidth: 1,
-  //   fontSize: 100,
-  //   fontFamily: 'sans-serif',
-  //   selectable: false}));
+  scaleCanvas = new fabric.Canvas('scale') 
   scaleCanvas.add(new fabric.Rect({
     width: 1200, 
     height : 200, 
@@ -90,6 +84,7 @@ function loadAll() {
   scaleCanvas.on('mouse:down', (event) => {
     scaleDragStartingX = event.pointer.x
   })
+
   scaleCanvas.on('mouse:up', (event) => {
     let scaleDragEndingX = event.pointer.x // click + drag ending x position
     totalScaleX = event.target.aCoords.tr.x // total x axis length 
@@ -106,8 +101,6 @@ function loadAll() {
     // to location at cooresponding percentile from drag event. 
   })
 
-
-
   $('#tooltip-body').hide() // set initual tooltip hide value
   $('#toggle_label_box').attr("checked", showLabels);
 
@@ -222,14 +215,6 @@ function loadAll() {
     if (zoom > 20) zoom = 20;
     if (zoom < 0.01) zoom = 0.01;
 
-    // scale = canvas.getZoom() * 100 // set global scale to new zoom value
-    // scaleCanvas.clear() // clear previous value from scale canvas, populate with updated value.
-    // scaleCanvas.add((new fabric.Text(`${scale} nts`, {
-    //   strokeWidth: 1,
-    //   fontSize: 100,
-    //   fontFamily: 'sans-serif',
-    //   selectable: false})));
-
     canvas.zoomToPoint({ x: opt.e.offsetX, y: opt.e.offsetY }, zoom);
     opt.e.preventDefault();
     opt.e.stopPropagation();

From f387292dbcf66e98c25a786cf439fa56fb87ec81 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 20 May 2021 21:33:10 +0000
Subject: [PATCH 0036/1020] roundabout method for setting genome canvas X
 center from drag event

---
 anvio/data/interactive/js/genomeview.js | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index a1a6a47f89..d0ee26a73a 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -96,9 +96,13 @@ function loadAll() {
     let [percentileStart, percentileEnd] = [scaleDragStartingX/totalScaleX, scaleDragEndingX/totalScaleX]
 
     let moveTo = new fabric.Point(mainCanvasWidth * percentileStart, 0)
+    // process for contextual zooming based on drag event from scale canvas. 
+    // 1) zoom all the way out so the main canvas theoretically displays the entire sequence length 
+    // 2) pan to new x coordinate, a percentile of total sequence length 
+    // 3) set zoom back to original value, centering on new x coordinate
+    canvas.setZoom(.009) 
     canvas.absolutePan({x: moveTo.x, y: 0})
-    // need a way to calculate pixel length of entire sequence so we can move 
-    // to location at cooresponding percentile from drag event. 
+    canvas.setZoom(1)
   })
 
   $('#tooltip-body').hide() // set initual tooltip hide value

From 13ccaa730a8a5ccf1d70acf312b3ea88444a43ad Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 20 May 2021 21:50:42 +0000
Subject: [PATCH 0037/1020] using Point obj Y value

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index d0ee26a73a..3c0e64dbde 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -101,7 +101,7 @@ function loadAll() {
     // 2) pan to new x coordinate, a percentile of total sequence length 
     // 3) set zoom back to original value, centering on new x coordinate
     canvas.setZoom(.009) 
-    canvas.absolutePan({x: moveTo.x, y: 0})
+    canvas.absolutePan({x: moveTo.x, y: moveTo.y})
     canvas.setZoom(1)
   })
 

From 6c281ab02bde6cf0707736e993c5395b93b823e4 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 21 May 2021 15:57:12 +0000
Subject: [PATCH 0038/1020] refactor resetScale method

---
 anvio/data/interactive/js/genomeview.js | 7 -------
 1 file changed, 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 3c0e64dbde..ee3ccb5aa8 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -493,14 +493,7 @@ function getKeyByValue(object, value) {
 }
 
 function resetScale(){
-  scale = 100
   canvas.setZoom(1)
-  scaleCanvas.clear() // clear previous value from scale canvas, populate with updated value.
-  scaleCanvas.add((new fabric.Text(`${scale} nts`, {
-    strokeWidth: 1,
-    fontSize: 100,
-    fontFamily: 'sans-serif',
-    selectable: false})));
 }
 
 function drawGenomeLabels(label){

From 7620e406563cbb728c575a95ebe2aecb948357b3 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 24 May 2021 15:49:54 +0000
Subject: [PATCH 0039/1020] cursor for relative zoom location

---
 anvio/data/interactive/genomeview.html  |  2 +-
 anvio/data/interactive/js/genomeview.js | 26 +++++++++++++++++++++++--
 2 files changed, 25 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 48d25d0260..4dbd66bf84 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -17,7 +17,7 @@
         <div class="container">
             <div id='labelAndMainContainer'>
               <div id='labelAndDropdownContainer'>
-                <select>
+                <select onchange='changeGenomeOrder(event)'>
                     <option disabled selected value> -- Genome Order -- </option>
                     <option>Alphabetical</option>
                     <option>Some Other Order</option>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index ee3ccb5aa8..de08eaaec1 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -78,6 +78,13 @@ function loadAll() {
     selectable : false, 
 
   }))
+
+  scaleCanvas.add(new fabric.Line([0,200,0,0],{ // 'cursor' for current zoom location
+    strokeWidth : 10,
+    stroke : 'black',
+    top : 0,
+    left : 10
+  }))
   let scaleDragStartingX; 
   let totalScaleX
 
@@ -94,12 +101,20 @@ function loadAll() {
     }
     let mainCanvasWidth = canvas.getWidth()
     let [percentileStart, percentileEnd] = [scaleDragStartingX/totalScaleX, scaleDragEndingX/totalScaleX]
-
+    
     let moveTo = new fabric.Point(mainCanvasWidth * percentileStart, 0)
     // process for contextual zooming based on drag event from scale canvas. 
     // 1) zoom all the way out so the main canvas theoretically displays the entire sequence length 
     // 2) pan to new x coordinate, a percentile of total sequence length 
     // 3) set zoom back to original value, centering on new x coordinate
+
+    scaleCanvas.remove(scaleCanvas.getObjects()[1]) // this should be changed 
+    scaleCanvas.add(new fabric.Line([0,200,0,0],{ // 'cursor' for current zoom location
+      strokeWidth : 10,
+      stroke : 'black',
+      top : 0,
+      left : scaleCanvas.width * percentileStart
+    }))
     canvas.setZoom(.009) 
     canvas.absolutePan({x: moveTo.x, y: moveTo.y})
     canvas.setZoom(1)
@@ -497,7 +512,6 @@ function resetScale(){
 }
 
 function drawGenomeLabels(label){
-  console.log(label)
   genomeLabelsCanvas.add(new fabric.Text(label, {
     top : labelSpacing,
     fontSize : 15,
@@ -508,3 +522,11 @@ function drawGenomeLabels(label){
     lockMovementX : true
   }))
 }
+
+function changeGenomeOrder(event){
+
+  if(event.target.value === "Alphabetical"){
+    console.log(typeof genomeData.genomes)
+
+  }
+}
\ No newline at end of file

From 0fdce903e9d86ce726b848418773f116ed6608c9 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 24 May 2021 14:07:14 -0500
Subject: [PATCH 0040/1020] preliminary function for gene cluster background
 shading

---
 anvio/data/interactive/js/genomeview.js | 61 +++++++++++++++++++------
 1 file changed, 47 insertions(+), 14 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index de08eaaec1..ca846ad3b0 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -69,13 +69,13 @@ function initData() {
 function loadAll() {
   canvas = new fabric.Canvas('myCanvas');
   genomeLabelsCanvas = new fabric.Canvas('genomeLabels');
-  scaleCanvas = new fabric.Canvas('scale') 
+  scaleCanvas = new fabric.Canvas('scale')
   scaleCanvas.add(new fabric.Rect({
-    width: 1200, 
-    height : 200, 
+    width: 1200,
+    height : 200,
     fill : 'pink',
     opacity : .6,
-    selectable : false, 
+    selectable : false,
 
   }))
 
@@ -85,7 +85,7 @@ function loadAll() {
     top : 0,
     left : 10
   }))
-  let scaleDragStartingX; 
+  let scaleDragStartingX;
   let totalScaleX
 
   scaleCanvas.on('mouse:down', (event) => {
@@ -94,28 +94,28 @@ function loadAll() {
 
   scaleCanvas.on('mouse:up', (event) => {
     let scaleDragEndingX = event.pointer.x // click + drag ending x position
-    totalScaleX = event.target.aCoords.tr.x // total x axis length 
+    totalScaleX = event.target.aCoords.tr.x // total x axis length
 
     if(scaleDragStartingX === scaleDragEndingX){ //account for accidental drag, click and release
-      return 
+      return
     }
     let mainCanvasWidth = canvas.getWidth()
     let [percentileStart, percentileEnd] = [scaleDragStartingX/totalScaleX, scaleDragEndingX/totalScaleX]
-    
+
     let moveTo = new fabric.Point(mainCanvasWidth * percentileStart, 0)
-    // process for contextual zooming based on drag event from scale canvas. 
-    // 1) zoom all the way out so the main canvas theoretically displays the entire sequence length 
-    // 2) pan to new x coordinate, a percentile of total sequence length 
+    // process for contextual zooming based on drag event from scale canvas.
+    // 1) zoom all the way out so the main canvas theoretically displays the entire sequence length
+    // 2) pan to new x coordinate, a percentile of total sequence length
     // 3) set zoom back to original value, centering on new x coordinate
 
-    scaleCanvas.remove(scaleCanvas.getObjects()[1]) // this should be changed 
+    scaleCanvas.remove(scaleCanvas.getObjects()[1]) // this should be changed
     scaleCanvas.add(new fabric.Line([0,200,0,0],{ // 'cursor' for current zoom location
       strokeWidth : 10,
       stroke : 'black',
       top : 0,
       left : scaleCanvas.width * percentileStart
     }))
-    canvas.setZoom(.009) 
+    canvas.setZoom(.009)
     canvas.absolutePan({x: moveTo.x, y: moveTo.y})
     canvas.setZoom(1)
   })
@@ -326,6 +326,39 @@ function draw() {
   }
 }
 
+function shadeGeneClusters(geneClusters, colors, y) {
+  for(var i = 0; i < Object.keys(genomeData.genomes).length-1; i++) {
+    let genomeID_A = Object.keys(genomeData.genomes)[i];
+    let genomeID_B = Object.keys(genomeData.genomes)[i+1];
+    //let genomeA = genomeData.genomes[genomeID_A].genes.gene_calls;
+    //let genomeB = genomeData.genomes[genomeID_B].genes.gene_calls;
+
+    for(gc of geneClusters) {
+      let g1 = [], g2 = [];
+      for(geneID of genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID_A]) {
+        let g = genomeData.genomes[genomeID_A].genes.gene_calls[geneID];
+        g1.push(g.start, g.stop);
+      }
+      for(geneID of genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID_B]) {
+        let g = genomeData.genomes[genomeID_B].genes.gene_calls[geneID];
+        g2.push(g.start, g.stop);
+      }
+
+      /* TODO: implementation for multiple genes of the same genome in the same gene cluster */
+      var path = new fabric.Path("M " + g1[0] + " " + y + " L " + g1[1] + " " + y + " L " + g2[1] + " " + (y+spacing) + " L " + g2[0] + " " + (y+spacing) + " z", {
+        fill: colors[gc],
+        opacity: 0.25,
+        scaleX: 0.5,
+        selectable: false
+      });
+      path.left += (showLabels?120:0);
+      path.sendBackwards();
+      canvas.add(path);
+    }
+    y += spacing
+  }
+}
+
 function alignToCluster(gc) {
   if(!gc || gc in genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"]) {
     alignToGC = gc;
@@ -529,4 +562,4 @@ function changeGenomeOrder(event){
     console.log(typeof genomeData.genomes)
 
   }
-}
\ No newline at end of file
+}

From fcb2296ac675e8bee838fc1fbd7e346df9546f21 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 24 May 2021 21:12:31 +0000
Subject: [PATCH 0041/1020] convert the nested genome object into an array of
 genome objects

---
 anvio/data/interactive/js/genomeview.js | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index de08eaaec1..24d4e33d6f 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -62,6 +62,11 @@ function initData() {
             genomeData = data;
             console.log("Saved the following data:");
             console.log(data);
+            
+            let genomes = Object.entries(genomeData.genomes) // an array of 2d arrays, where each genome[0] is the object key, and genome[1] is the value
+            
+            // implementing the following will require a refactor of associated methods
+            // genomeData.genomes = genomes
         }
     });
 }

From 0e68faf524530c75add1768832565388fd6ab228 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 24 May 2021 21:41:30 +0000
Subject: [PATCH 0042/1020] contextual pan + zoom from user click/drag event.
 neat.

---
 anvio/data/interactive/js/genomeview.js | 19 ++++++++++++-------
 1 file changed, 12 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 24d4e33d6f..a520b4df73 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -86,9 +86,11 @@ function loadAll() {
 
   scaleCanvas.add(new fabric.Line([0,200,0,0],{ // 'cursor' for current zoom location
     strokeWidth : 10,
-    stroke : 'black',
+    stroke : 'green',
     top : 0,
-    left : 10
+    left : 10,
+    opacity : .6, 
+    selectable : false 
   }))
   let scaleDragStartingX; 
   let totalScaleX
@@ -106,6 +108,7 @@ function loadAll() {
     }
     let mainCanvasWidth = canvas.getWidth()
     let [percentileStart, percentileEnd] = [scaleDragStartingX/totalScaleX, scaleDragEndingX/totalScaleX]
+    let percentileToShow = (percentileEnd - percentileStart).toFixed(2)
     
     let moveTo = new fabric.Point(mainCanvasWidth * percentileStart, 0)
     // process for contextual zooming based on drag event from scale canvas. 
@@ -115,14 +118,16 @@ function loadAll() {
 
     scaleCanvas.remove(scaleCanvas.getObjects()[1]) // this should be changed 
     scaleCanvas.add(new fabric.Line([0,200,0,0],{ // 'cursor' for current zoom location
-      strokeWidth : 10,
-      stroke : 'black',
+      strokeWidth : percentileToShow > .1 ? 1200*percentileToShow : 10,
+      stroke : 'green',
       top : 0,
-      left : scaleCanvas.width * percentileStart
+      left : scaleCanvas.width * percentileStart,
+      opacity : .6,
+      selectable : false 
     }))
-    canvas.setZoom(.009) 
+    canvas.setZoom(.01) 
     canvas.absolutePan({x: moveTo.x, y: moveTo.y})
-    canvas.setZoom(1)
+    canvas.setZoom(percentileToShow > .1 ? 1 - percentileToShow : 1) //TODO ask someone who knows how to math to make this better :)
   })
 
   $('#tooltip-body').hide() // set initual tooltip hide value

From 2205d95290c7ecbd2b7442aa92bc2086fa40d20e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 26 May 2021 18:03:44 +0000
Subject: [PATCH 0043/1020] wireframe for state-related processes

---
 anvio/data/interactive/js/genomeview.js | 57 ++++++++++++++++++++++++-
 1 file changed, 55 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 615f492c71..b2a24b1d31 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -26,7 +26,8 @@
  var genomeMax = 0;
 
  // Settings vars
-
+ // TODO migrate below variables to kvp in state
+ var state = {}; 
  var spacing = 30; // vertical spacing between genomes
  var showLabels = true; // show genome labels?
  var showGeneLabels = true; // show gene labels?
@@ -48,7 +49,8 @@ var genomeData;
 
 $(document).ready(function() {
     initData();
-    loadAll()
+    // loadState(); 
+    loadAll();
 });
 
 function initData() {
@@ -71,6 +73,57 @@ function initData() {
     });
 }
 
+function loadState(){
+  let mockStateData = {};
+
+  var defer = $.Deferred();
+  $('#modLoadState').modal('hide');
+  if ($('#loadState_list').val() == null) {
+      defer.reject();
+      return;
+  }
+
+  var state_name = $('#loadState_list').val();
+  waitingDialog.show('Requesting state data from the server ...',
+      {
+          dialogSize: 'sm',
+          onHide: function() {
+              defer.resolve();
+          },
+          onShow: function() {
+              $.ajax({
+                      type: 'GET',
+                      cache: false,
+                      url: '/data/genome_view/state/get/' + state_name,
+                      success: function(response) {
+                          try{
+                              // processState(state_name, response[0]); process actual response from backend 
+                              processState(state_name, mockStateData); // process mock state data
+                          }catch(e){
+                              console.error("Exception thrown", e.stack);
+                              toastr.error('Failed to parse state data, ' + e);
+                              defer.reject();
+                              return;
+                          }
+                          waitingDialog.hide();
+                      }
+                  });
+          },
+      }
+  );
+
+  return defer.promise();
+}
+
+function processState(stateName, stateData){
+  if(stateData['some-data']){
+    state['some-data'] = stateData['some-data']
+  }
+  if(stateData['some-other-data']){
+    state['some-other-data'] = stateData['some-other-data']
+  }
+}
+
 function loadAll() {
   canvas = new fabric.Canvas('myCanvas');
   genomeLabelsCanvas = new fabric.Canvas('genomeLabels');

From f0dcbc7e878f9f3f26aa9c5bb6088c195c3879bb Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 1 Jun 2021 15:28:15 +0000
Subject: [PATCH 0044/1020] less obnoxious scale bg color ;)

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index b2a24b1d31..a264a641d3 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -131,7 +131,7 @@ function loadAll() {
   scaleCanvas.add(new fabric.Rect({
     width: 1200,
     height : 200,
-    fill : 'pink',
+    fill : 'gray',
     opacity : .6,
     selectable : false,
 

From 20b492f7309c67f88a5dc0d04b972dcf96c8af03 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 1 Jun 2021 16:13:28 +0000
Subject: [PATCH 0045/1020] process to dynamically set genome order methods

---
 anvio/data/interactive/genomeview.html  | 4 +---
 anvio/data/interactive/js/genomeview.js | 8 ++++++++
 2 files changed, 9 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 4dbd66bf84..3bc4e1e1a8 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -17,11 +17,9 @@
         <div class="container">
             <div id='labelAndMainContainer'>
               <div id='labelAndDropdownContainer'>
-                <select onchange='changeGenomeOrder(event)'>
+                <select onchange='changeGenomeOrder(event)' id='genomeOrderSelect'>
                     <option disabled selected value> -- Genome Order -- </option>
                     <option>Alphabetical</option>
-                    <option>Some Other Order</option>
-                    <option>A Third One</option>
                 </select>
                 <canvas id='genomeLabels' width="200px" height='500px'></canvas>
               </div>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index a264a641d3..20ef18704b 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -116,6 +116,14 @@ function loadState(){
 }
 
 function processState(stateName, stateData){
+  // set genome order options from state
+
+  if(stateData['genome-order-method']){
+    stateData['genome-order-method'].forEach(orderMethod => {
+      $('#genomeOrderSelect').append((new Option(orderMethod, orderMethod))) // set display + value of new select option. 
+    })
+  }
+
   if(stateData['some-data']){
     state['some-data'] = stateData['some-data']
   }

From 744f91d1363836cb791771fda03f8ea259756d4d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 1 Jun 2021 18:13:00 +0000
Subject: [PATCH 0046/1020] wireframe mock state data

---
 anvio/data/interactive/js/genomeview.js | 19 +++++++++++++++++--
 1 file changed, 17 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 20ef18704b..469cbd0cca 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -74,7 +74,22 @@ function initData() {
 }
 
 function loadState(){
-  let mockStateData = {};
+  let mockStateData = {
+    "state-name" : 'default', 
+    "zoom" : "1.0",
+    "arrow-style" : "1",
+    "color-genes-by" : "Source", 
+    "genome-order-method" : [
+      { 
+        "name" : "some value",
+        "order" : ['genome1', 'genome2', 'genome3']
+      },
+      {
+        "name" : "some other value", 
+        "order" : ['genome2', 'genome1', 'genome3']
+      }
+    ]
+  };
 
   var defer = $.Deferred();
   $('#modLoadState').modal('hide');
@@ -120,7 +135,7 @@ function processState(stateName, stateData){
 
   if(stateData['genome-order-method']){
     stateData['genome-order-method'].forEach(orderMethod => {
-      $('#genomeOrderSelect').append((new Option(orderMethod, orderMethod))) // set display + value of new select option. 
+      $('#genomeOrderSelect').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option. 
     })
   }
 

From 9d68b0b79cd83212336681e8a6df10734db5a0ec Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 10 Jun 2021 16:48:30 -0500
Subject: [PATCH 0047/1020] refactor genome functions to use new nested array
 format

---
 anvio/data/interactive/js/genomeview.js | 70 ++++++++++++-------------
 1 file changed, 34 insertions(+), 36 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 469cbd0cca..c38c49b13d 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -27,7 +27,7 @@
 
  // Settings vars
  // TODO migrate below variables to kvp in state
- var state = {}; 
+ var state = {};
  var spacing = 30; // vertical spacing between genomes
  var showLabels = true; // show genome labels?
  var showGeneLabels = true; // show gene labels?
@@ -49,7 +49,7 @@ var genomeData;
 
 $(document).ready(function() {
     initData();
-    // loadState(); 
+    // loadState();
     loadAll();
 });
 
@@ -64,28 +64,26 @@ function initData() {
             genomeData = data;
             console.log("Saved the following data:");
             console.log(data);
-            
+
             let genomes = Object.entries(genomeData.genomes) // an array of 2d arrays, where each genome[0] is the object key, and genome[1] is the value
-            
-            // implementing the following will require a refactor of associated methods
-            // genomeData.genomes = genomes
+            genomeData.genomes = genomes
         }
     });
 }
 
 function loadState(){
   let mockStateData = {
-    "state-name" : 'default', 
+    "state-name" : 'default',
     "zoom" : "1.0",
     "arrow-style" : "1",
-    "color-genes-by" : "Source", 
+    "color-genes-by" : "Source",
     "genome-order-method" : [
-      { 
+      {
         "name" : "some value",
         "order" : ['genome1', 'genome2', 'genome3']
       },
       {
-        "name" : "some other value", 
+        "name" : "some other value",
         "order" : ['genome2', 'genome1', 'genome3']
       }
     ]
@@ -112,7 +110,7 @@ function loadState(){
                       url: '/data/genome_view/state/get/' + state_name,
                       success: function(response) {
                           try{
-                              // processState(state_name, response[0]); process actual response from backend 
+                              // processState(state_name, response[0]); process actual response from backend
                               processState(state_name, mockStateData); // process mock state data
                           }catch(e){
                               console.error("Exception thrown", e.stack);
@@ -135,7 +133,7 @@ function processState(stateName, stateData){
 
   if(stateData['genome-order-method']){
     stateData['genome-order-method'].forEach(orderMethod => {
-      $('#genomeOrderSelect').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option. 
+      $('#genomeOrderSelect').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
     })
   }
 
@@ -165,8 +163,8 @@ function loadAll() {
     stroke : 'green',
     top : 0,
     left : 10,
-    opacity : .6, 
-    selectable : false 
+    opacity : .6,
+    selectable : false
   }))
   let scaleDragStartingX;
   let totalScaleX
@@ -185,7 +183,7 @@ function loadAll() {
     let mainCanvasWidth = canvas.getWidth()
     let [percentileStart, percentileEnd] = [scaleDragStartingX/totalScaleX, scaleDragEndingX/totalScaleX]
     let percentileToShow = (percentileEnd - percentileStart).toFixed(2)
- 
+
     let moveTo = new fabric.Point(mainCanvasWidth * percentileStart, 0)
     // process for contextual zooming based on drag event from scale canvas.
     // 1) zoom all the way out so the main canvas theoretically displays the entire sequence length
@@ -199,9 +197,9 @@ function loadAll() {
       top : 0,
       left : scaleCanvas.width * percentileStart,
       opacity : .6,
-      selectable : false 
+      selectable : false
     }))
-    canvas.setZoom(.01) 
+    canvas.setZoom(.01)
     canvas.absolutePan({x: moveTo.x, y: moveTo.y})
     canvas.setZoom(percentileToShow > .1 ? 1 - percentileToShow : 1) //TODO ask someone who knows how to math to make this better :)
   })
@@ -358,10 +356,10 @@ function loadAll() {
 
 function draw() {
   // Find max length genome
-  for(let genomeID in genomeData.genomes) {
-    let genome = genomeData.genomes[genomeID].genes.gene_calls;
-    let g = genome[Object.keys(genome).length-1].stop;
-    if(g > genomeMax) genomeMax = g;
+  for(genome of genomeData.genomes) {
+    genome = genome[1].genes.gene_calls;
+    let genomeEnd = genome[Object.keys(genome).length-1].stop;
+    if(genomeEnd > genomeMax) genomeMax = genomeEnd;
   }
 
   if(showGeneLabels && arrowStyle != 3) {
@@ -369,10 +367,9 @@ function draw() {
   }
 
   var y = 1;
-  for(let genomeID in genomeData.genomes) {
-    let genome = genomeData.genomes[genomeID].genes.gene_calls;
-    let label = genome[0].contig;
-    addGenome(label, genome, genomeID, y)
+  for(genome of genomeData.genomes) {
+    let label = genome[1].genes.gene_calls[0].contig;
+    addGenome(label, genome[1].genes.gene_calls, genome[0], y)
     drawGenomeLabels(label)
     labelSpacing += 30
     y++;
@@ -410,24 +407,24 @@ function draw() {
           fontFamily: 'sans-serif',
           selectable: false}));
   }
+
+  shadeGeneClusters(["GC_00000034","GC_00000097"],{"GC_00000034":"green","GC_00000097":"red"},spacing);
 }
 
 function shadeGeneClusters(geneClusters, colors, y) {
-  for(var i = 0; i < Object.keys(genomeData.genomes).length-1; i++) {
-    let genomeID_A = Object.keys(genomeData.genomes)[i];
-    let genomeID_B = Object.keys(genomeData.genomes)[i+1];
-    //let genomeA = genomeData.genomes[genomeID_A].genes.gene_calls;
-    //let genomeB = genomeData.genomes[genomeID_B].genes.gene_calls;
+  for(var i = 0; i < genomeData.genomes.length-1; i++) {
+    let genomeA = genomeData.genomes[i][1].genes.gene_calls;
+    let genomeB = genomeData.genomes[i+1][1].genes.gene_calls;
+    let genomeID_A = genomeData.genomes[i][0];
+    let genomeID_B = genomeData.genomes[i+1][0];
 
     for(gc of geneClusters) {
       let g1 = [], g2 = [];
       for(geneID of genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID_A]) {
-        let g = genomeData.genomes[genomeID_A].genes.gene_calls[geneID];
-        g1.push(g.start, g.stop);
+        g1.push(genomeA[geneID].start, genomeA[geneID].stop);
       }
       for(geneID of genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID_B]) {
-        let g = genomeData.genomes[genomeID_B].genes.gene_calls[geneID];
-        g2.push(g.start, g.stop);
+        g2.push(genomeB[geneID].start, genomeB[geneID].stop);
       }
 
       /* TODO: implementation for multiple genes of the same genome in the same gene cluster */
@@ -490,7 +487,8 @@ function addGenome(label, gene_list, genomeID, y) {
   for(let geneID in gene_list) {
     let gene = gene_list[geneID];
     //geneGroup.addWithUpdate(geneArrow(gene,y));   // IMPORTANT: only way to select is to select the group or use indices. maybe don't group them but some alternative which lets me scale them all at once?
-    var geneObj = geneArrow(gene,geneID,genomeData.genomes[genomeID].genes.functions[geneID],y,genomeID,arrowStyle);
+    var geneIndex = genomeData.genomes.findIndex(g => genomeID == g[0]);
+    var geneObj = geneArrow(gene,geneID,genomeData.genomes[geneIndex][1].genes.functions[geneID],y,genomeID,arrowStyle);
     if(showLabels) {
       geneObj.left += 120;
     }
@@ -648,4 +646,4 @@ function changeGenomeOrder(event){
     console.log(typeof genomeData.genomes)
 
   }
-}
\ No newline at end of file
+}

From ea03935958f8e2d594502f0991936f9940a416fc Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 10 Jun 2021 18:10:32 -0500
Subject: [PATCH 0048/1020] fix gene scaling

---
 anvio/data/interactive/js/charts.js | 21 +++++++++++++++++++--
 1 file changed, 19 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index 2251ed9a79..d70e8e62d2 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -1442,7 +1442,7 @@ function serializeSettings() {
 function createCharts(state){
     /* Adapted from Tyler Craft's Multiple area charts with D3.js article:
     http://tympanus.net/codrops/2012/08/29/multiple-area-charts-with-d3-js/  */
-    $('#chart-container, #context-container, #highlight-boxes').empty();
+    $('#chart-container, #context-container, #highlight-boxes, #sample-titles').empty();
 
     if (state['current-view'] == "single"){
         // if we are working with a non-merged single profile, we need to do some ugly hacks here,
@@ -1490,6 +1490,14 @@ function createCharts(state){
     $('#SNV-boxes').css("height", height + "px");
     $('#SNV-boxes').css("top", (margin.top - 20) + "px");
 
+    var sampleTitles = d3.select("#sample-titles").append("svg")
+                            .attr("id", "sampleTitles")
+                            .attr("width", width + margin.left + margin.right)
+                            .attr("height", height + margin.top);
+    $('#SNV-boxes').css("width", (width + 150) + "px");
+    $('#SNV-boxes').css("height", height + "px");
+    $('#SNV-boxes').css("top", (margin.top - 20) + "px");
+
 
     charts = [];
 
@@ -1551,6 +1559,7 @@ function createCharts(state){
                         maxCountOverCoverage: maxCountOverCoverage,
                         svg: svg,
                         snv_svg: snvBoxesSvg,
+                        samples_svg: sampleTitles,
                         margin: margin,
                         showBottomAxis: (j == visible_layers - 1),
                         color: state['layers'][layers[layer_index]]['color']
@@ -1717,6 +1726,9 @@ function Chart(options){
     this.maxCountOverCoverage = options.maxCountOverCoverage;
     this.svg = options.svg;
     this.snv_svg = options.snv_svg;
+    this.samples_svg = options.samples_svg;
+    console.log("SAMPLES SVG:");
+    console.log(this.samples_svg);
     this.id = options.id;
     this.name = options.name;
     this.margin = options.margin;
@@ -1813,6 +1825,10 @@ function Chart(options){
                               .attr('class',this.name.toLowerCase())
                               .attr("transform", "translate(" + this.margin.left + "," + (this.margin.top + (this.height * this.id) + (10 * this.id)) + ")");
 
+    this.textContainerSamples = this.samples_svg.append("g")
+                              .attr('class',this.name.toLowerCase())
+                              .attr("transform", "translate(" + this.margin.left + "," + (this.margin.top + (this.height * this.id) + (10 * this.id)) + ")");
+
     this.gcContainer   = this.svg.append("g")
                         .attr('class',this.name.toLowerCase())
                         .attr("transform", "translate(" + this.margin.left + "," + (this.margin.top + (this.height * this.id) + (10 * this.id)) + ")");
@@ -2057,7 +2073,8 @@ function Chart(options){
                      .call(this.yAxisLine);
     }
 
-    this.chartContainer.append("text")
+
+    this.textContainerSamples.append("text")
                    .attr("class","sample-title")
                    .attr("transform", "translate(0,20)")
                    .text(this.name);

From e4b417f75d2380ac5dcd4dca491501edaef58222 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 10 Jun 2021 18:12:55 -0500
Subject: [PATCH 0049/1020] wrong file :/

---
 anvio/data/interactive/js/charts.js | 21 ++-------------------
 1 file changed, 2 insertions(+), 19 deletions(-)

diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index d70e8e62d2..2251ed9a79 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -1442,7 +1442,7 @@ function serializeSettings() {
 function createCharts(state){
     /* Adapted from Tyler Craft's Multiple area charts with D3.js article:
     http://tympanus.net/codrops/2012/08/29/multiple-area-charts-with-d3-js/  */
-    $('#chart-container, #context-container, #highlight-boxes, #sample-titles').empty();
+    $('#chart-container, #context-container, #highlight-boxes').empty();
 
     if (state['current-view'] == "single"){
         // if we are working with a non-merged single profile, we need to do some ugly hacks here,
@@ -1490,14 +1490,6 @@ function createCharts(state){
     $('#SNV-boxes').css("height", height + "px");
     $('#SNV-boxes').css("top", (margin.top - 20) + "px");
 
-    var sampleTitles = d3.select("#sample-titles").append("svg")
-                            .attr("id", "sampleTitles")
-                            .attr("width", width + margin.left + margin.right)
-                            .attr("height", height + margin.top);
-    $('#SNV-boxes').css("width", (width + 150) + "px");
-    $('#SNV-boxes').css("height", height + "px");
-    $('#SNV-boxes').css("top", (margin.top - 20) + "px");
-
 
     charts = [];
 
@@ -1559,7 +1551,6 @@ function createCharts(state){
                         maxCountOverCoverage: maxCountOverCoverage,
                         svg: svg,
                         snv_svg: snvBoxesSvg,
-                        samples_svg: sampleTitles,
                         margin: margin,
                         showBottomAxis: (j == visible_layers - 1),
                         color: state['layers'][layers[layer_index]]['color']
@@ -1726,9 +1717,6 @@ function Chart(options){
     this.maxCountOverCoverage = options.maxCountOverCoverage;
     this.svg = options.svg;
     this.snv_svg = options.snv_svg;
-    this.samples_svg = options.samples_svg;
-    console.log("SAMPLES SVG:");
-    console.log(this.samples_svg);
     this.id = options.id;
     this.name = options.name;
     this.margin = options.margin;
@@ -1825,10 +1813,6 @@ function Chart(options){
                               .attr('class',this.name.toLowerCase())
                               .attr("transform", "translate(" + this.margin.left + "," + (this.margin.top + (this.height * this.id) + (10 * this.id)) + ")");
 
-    this.textContainerSamples = this.samples_svg.append("g")
-                              .attr('class',this.name.toLowerCase())
-                              .attr("transform", "translate(" + this.margin.left + "," + (this.margin.top + (this.height * this.id) + (10 * this.id)) + ")");
-
     this.gcContainer   = this.svg.append("g")
                         .attr('class',this.name.toLowerCase())
                         .attr("transform", "translate(" + this.margin.left + "," + (this.margin.top + (this.height * this.id) + (10 * this.id)) + ")");
@@ -2073,8 +2057,7 @@ function Chart(options){
                      .call(this.yAxisLine);
     }
 
-
-    this.textContainerSamples.append("text")
+    this.chartContainer.append("text")
                    .attr("class","sample-title")
                    .attr("transform", "translate(0,20)")
                    .text(this.name);

From a750b9d64f54dd9884e98894d6d5cb92ce18d82f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 10 Jun 2021 18:14:12 -0500
Subject: [PATCH 0050/1020] right file :)

---
 anvio/data/interactive/js/genomeview.js | 25 ++++++++++---------------
 1 file changed, 10 insertions(+), 15 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index c38c49b13d..6587c81d05 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -408,7 +408,7 @@ function draw() {
           selectable: false}));
   }
 
-  shadeGeneClusters(["GC_00000034","GC_00000097"],{"GC_00000034":"green","GC_00000097":"red"},spacing);
+  shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"},spacing);
 }
 
 function shadeGeneClusters(geneClusters, colors, y) {
@@ -431,7 +431,6 @@ function shadeGeneClusters(geneClusters, colors, y) {
       var path = new fabric.Path("M " + g1[0] + " " + y + " L " + g1[1] + " " + y + " L " + g2[1] + " " + (y+spacing) + " L " + g2[0] + " " + (y+spacing) + " z", {
         fill: colors[gc],
         opacity: 0.25,
-        scaleX: 0.5,
         selectable: false
       });
       path.left += (showLabels?120:0);
@@ -469,12 +468,12 @@ function addGenome(label, gene_list, genomeID, y) {
 
   // label
   if(showLabels) {
-    canvas.add(new fabric.Text(label, {top: spacing*y-10, selectable: false, fontSize: 15, fontFamily: 'sans-serif', fontWeight: 'bold'}));
+    canvas.add(new fabric.Text(label, {top: spacing*y-5, selectable: false, fontSize: 15, fontFamily: 'sans-serif', fontWeight: 'bold'}));
   }
 
   // line
   canvas.add(new fabric.Line([0,0,genomeMax,0], {left: offsetX+(showLabels?120:0),
-        top: spacing*y - 4,
+        top: spacing*y + 4,
         stroke: 'black',
         strokeWidth: 2,
         selectable: false}));
@@ -508,10 +507,10 @@ function addGenome(label, gene_list, genomeID, y) {
 
       if(arrowStyle == 3) {
         label.set({
-          top: -10+spacing*y,
+          top: -5+spacing*y,
           left: 150+gene.start,
-          scaleX: 0.25,
-          scaleY: 0.25,
+          scaleX: 0.5,
+          scaleY: 0.5,
           selectionColor:'rgba(128,128,128,.5)'
         });
       } else {
@@ -564,13 +563,13 @@ function geneArrow(gene, geneID, functions, y, genomeID, style) {
   var arrowPathStr;
   switch(style) {
     case 2: // thicker arrows
-      arrowPathStr = 'M 0 -5 L ' + length + ' -5 L ' + length + ' 15 L 0 15 M ' + length + ' -5 L ' + length + ' 20 L ' + (25+length) + ' 5 L ' + length + ' -10 z';
+      arrowPathStr = 'M ' + (length-25) + ' -5 L 0 -5 L 0 15 L ' + (length-25) + ' 15 L ' + (length-25) + ' 15 L ' + (length-25) + ' 20 L ' + length + ' 5 L ' + (length-25) + ' -10 z';
       break;
     case 3: // pentagon arrows
       arrowPathStr = 'M 0 0 L ' + (length-25) + ' 0 L ' + length + ' 20 L ' + (length-25) + ' 40 L 0 40 L 0 0 z';
       break;
     default: // 'inspect page' arrows
-      arrowPathStr = 'M 0 0 L ' + length + ' 0 L ' + length + ' 10 L 0 10 M ' + length + ' 0 L ' + length + ' 20 L ' + (25+length) + ' 5 L ' + length + ' -10 z';
+      arrowPathStr = 'M ' + (length-25) + ' 0 L 0 0 L 0 10 L ' + (length-25) + ' 10 L ' + (length-25) + ' 10 L ' + (length-25) + ' 20 L ' + length + ' 5 L ' + (length-25) + ' -10 z';
       break;
   }
 
@@ -581,15 +580,11 @@ function geneArrow(gene, geneID, functions, y, genomeID, style) {
     gene: gene,
     geneID: geneID,
     genomeID: genomeID,
-    top: style == 3 ? -14+spacing*y : -11+spacing*y,
+    top: style == 3 ? -17+spacing*y : -11+spacing*y,
     left: 1.5+gene.start,
-    scaleX: 0.5,
-    scaleY: 0.5,
     fill: color,
     stroke: 'gray',
-    strokeWidth: style == 3 ? 3 : 1.5,
-    zoomX: 0.2,
-    zoomY: 0.2
+    strokeWidth: style == 3 ? 3 : 1.5
   });
   if(gene.direction == 'r') arrow.rotate(180);
 

From 17dd6d088a25160018d06d52b08720e1a0db6b6c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 11 Jun 2021 15:21:29 +0000
Subject: [PATCH 0051/1020] re-order genomes based on user drag event

---
 anvio/data/interactive/js/genomeview.js | 19 +++++++++++++------
 1 file changed, 13 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 6587c81d05..f5d775624d 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -226,17 +226,24 @@ function loadAll() {
     $('#tooltip-body').html('').hide()
   })
 
-  genomeLabelsCanvas.on('object:moving', function(options) {
-    // console.log(genomeLabelsCanvas.getBoundingRect())
-    // console.log(options.target.getBoundingRect())
+  genomeLabelsCanvas.on('object:moved', function(options) {
     options.target.set({
       left: Math.round(options.target.left / draggableGridUnits) * draggableGridUnits,
       top: Math.round(options.target.top / draggableGridUnits) * draggableGridUnits
     });
     let labelsArr = genomeLabelsCanvas.getObjects()
-    console.log('pre sort ==>', labelsArr)
-    labelsArr.sort((a,b) => (a.top > b.top) ? 1 : -1)
-    console.log('after sort ==>', labelsArr)
+    labelsArr.sort((a,b) => (a.top > b.top) ? 1 : -1) // sort genomes based on vertical position after drag event
+  
+    let newGenomeOrder = []
+    labelsArr.map(label => {
+      genomeData.genomes.map(genome => {
+         if(label.text == Object.keys(genome[1]['contigs']['info'])[0]){ // matching label text to first contig name of each genome
+           newGenomeOrder.push(genome)
+         }    
+      }) 
+    })
+    genomeData.genomes = newGenomeOrder
+    draw()
   });
 
   function showToolTip(event){

From 09f64b5ab8789ffe183aebf5cf5ce9c62c506fec Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 11 Jun 2021 15:27:06 +0000
Subject: [PATCH 0052/1020] avoid unnecessary iteration

---
 anvio/data/interactive/js/genomeview.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index f5d775624d..1b1fc109db 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -239,6 +239,7 @@ function loadAll() {
       genomeData.genomes.map(genome => {
          if(label.text == Object.keys(genome[1]['contigs']['info'])[0]){ // matching label text to first contig name of each genome
            newGenomeOrder.push(genome)
+           return 
          }    
       }) 
     })

From 4b77ab9c9ea6ec579996bda013184eb88fc322d1 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 11 Jun 2021 15:36:52 +0000
Subject: [PATCH 0053/1020] clear label + main canvas before redraw

---
 anvio/data/interactive/js/genomeview.js | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 1b1fc109db..02fee4ea09 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -363,6 +363,9 @@ function loadAll() {
 }
 
 function draw() {
+  genomeLabelsCanvas.clear()
+  canvas.clear() 
+  
   // Find max length genome
   for(genome of genomeData.genomes) {
     genome = genome[1].genes.gene_calls;

From d8e8ed4168a2ac353a23a3c2f2d1282f8909705b Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 11 Jun 2021 16:00:17 +0000
Subject: [PATCH 0054/1020] reset genome label spacing upon draw

---
 anvio/data/interactive/js/genomeview.js | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 02fee4ea09..f06a1819c0 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -364,8 +364,9 @@ function loadAll() {
 
 function draw() {
   genomeLabelsCanvas.clear()
-  canvas.clear() 
-  
+  canvas.clear()
+  labelSpacing = 30 // reset to default value upon each draw() call 
+
   // Find max length genome
   for(genome of genomeData.genomes) {
     genome = genome[1].genes.gene_calls;

From 9814d4f96174d603a4e6823d966addb66a99154d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 12 Jun 2021 12:38:56 -0500
Subject: [PATCH 0055/1020] fix alignment by gene cluster

---
 anvio/data/interactive/js/genomeview.js | 44 +++++++++++++------------
 1 file changed, 23 insertions(+), 21 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index f06a1819c0..159673e007 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -209,6 +209,7 @@ function loadAll() {
 
   // can either set it on the canvas to check for all arrows, or when arrow is created.
   canvas.on('mouse:down', function(options) {
+    console.log(options.absolutePointer.x-120);
     if(options.target && options.target.id == 'arrow') {
       options.target.set('fill', options.target.fill=="red" ? "blue" : 'red');
       var testid = options.target.gene.gene_callers_id;
@@ -233,15 +234,15 @@ function loadAll() {
     });
     let labelsArr = genomeLabelsCanvas.getObjects()
     labelsArr.sort((a,b) => (a.top > b.top) ? 1 : -1) // sort genomes based on vertical position after drag event
-  
+
     let newGenomeOrder = []
     labelsArr.map(label => {
       genomeData.genomes.map(genome => {
          if(label.text == Object.keys(genome[1]['contigs']['info'])[0]){ // matching label text to first contig name of each genome
            newGenomeOrder.push(genome)
-           return 
-         }    
-      }) 
+           return
+         }
+      })
     })
     genomeData.genomes = newGenomeOrder
     draw()
@@ -365,7 +366,7 @@ function loadAll() {
 function draw() {
   genomeLabelsCanvas.clear()
   canvas.clear()
-  labelSpacing = 30 // reset to default value upon each draw() call 
+  labelSpacing = 30 // reset to default value upon each draw() call
 
   // Find max length genome
   for(genome of genomeData.genomes) {
@@ -458,6 +459,22 @@ function alignToCluster(gc) {
     alignToGC = gc;
     showLabels = !gc; // only show labels if changing to default view
     $('#toggle_label_box').attr("checked", showLabels);
+
+    for(genome of genomeData.genomes) {
+      var genomeGCs = genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][alignToGC][genome[0]];
+      if(genomeGCs.length == 0) continue;
+      var targetGeneID = genomeGCs[0]; /* TODO: implementation for multiple matching gene IDs */
+      var targetGene = genome[1].genes.gene_calls[targetGeneID];
+      var genePos = targetGene.start + (targetGene.stop - targetGene.start) / 2;
+      var tmp = canvas.getZoom();
+      resetScale();
+      var windowCenter = canvas.getWidth()/2 - canvas.viewportTransform[4]; // canvas.getWidth()/2 is clientX of center of screen
+      var shift = windowCenter - genePos;
+      canvas.viewportTransform[4] += shift;
+      canvas.setZoom(tmp);
+      break;
+    }
+
   } else {
     console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
   }
@@ -466,25 +483,13 @@ function alignToCluster(gc) {
 }
 
 function addGenome(label, gene_list, genomeID, y) {
-  var offsetX = 0;
-  if(alignToGC) { /* TEMPORARILY DISABLED until proper data structure (geneID -> GC) added */
-    var genomeGCs = genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][alignToGC][genomeID];
-    var targetGeneID = genomeGCs[0]; /* TODO: implementation for multiple matching gene IDs */
-    var targetGene = gene_list[targetGeneID];
-    var genePos = targetGene.start + (targetGene.stop - targetGene.start) / 2;
-    //var windowCenter = fabric.util.transformPoint({x:canvas.getWidth()/2,y:0}, canvas.viewportTransform)['x'];
-    var windowCenter = canvas.getWidth()/2 - canvas.viewportTransform[4]; // canvas.getWidth()/2 is clientX of center of screen
-    offsetX = windowCenter - genePos;
-    console.log('offsetX: ' + offsetX + ', genePos: ' + genePos + ', windowCenter: ' + windowCenter);
-  }
-
   // label
   if(showLabels) {
     canvas.add(new fabric.Text(label, {top: spacing*y-5, selectable: false, fontSize: 15, fontFamily: 'sans-serif', fontWeight: 'bold'}));
   }
 
   // line
-  canvas.add(new fabric.Line([0,0,genomeMax,0], {left: offsetX+(showLabels?120:0),
+  canvas.add(new fabric.Line([0,0,genomeMax,0], {left: showLabels?120:0,
         top: spacing*y + 4,
         stroke: 'black',
         strokeWidth: 2,
@@ -503,9 +508,6 @@ function addGenome(label, gene_list, genomeID, y) {
     if(showLabels) {
       geneObj.left += 120;
     }
-    if(alignToGC) {
-      geneObj.left += offsetX;
-    }
     canvas.add(geneObj);
 
     if(showGeneLabels) {

From 018cb8eb5d22a9242e7ff019996bd5e8f684629e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 12 Jun 2021 12:41:57 -0500
Subject: [PATCH 0056/1020] cleanup

---
 anvio/data/interactive/js/genomeview.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 159673e007..049c80350d 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -209,7 +209,6 @@ function loadAll() {
 
   // can either set it on the canvas to check for all arrows, or when arrow is created.
   canvas.on('mouse:down', function(options) {
-    console.log(options.absolutePointer.x-120);
     if(options.target && options.target.id == 'arrow') {
       options.target.set('fill', options.target.fill=="red" ? "blue" : 'red');
       var testid = options.target.gene.gene_callers_id;

From 1945221e5e5c255704b12a154f7643ef85f0e125 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 12 Jun 2021 19:04:14 -0500
Subject: [PATCH 0057/1020] add visual customizations

---
 anvio/data/interactive/genomeview.html  | 190 ++++++++++++++----------
 anvio/data/interactive/js/genomeview.js | 158 +++++++++++++++-----
 2 files changed, 229 insertions(+), 119 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 3bc4e1e1a8..f0657e6cb1 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -39,13 +39,117 @@
                   <div id="sidebar">
                         <div class="tab-content"></div>
 
-                        <tr>
-                          <td>Align to Gene Cluster: </td>
-                          <td><input id="geneClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
-                        </tr>
+                        <span class="settings-header">Genome Arrangement</span>
+                        <table id="genome-arrangement" style="margin-bottom: 20px;">
+                          <tbody>
+                            <tr>
+                              <td>Genome spacing:</td>
+                              <td><input type="text" class="form-control input-sm" id="genome_spacing" value="30"></td>
+                            </tr>
+                            <tr>
+                              <td>Plot scale:</td>
+                              <td><input type="text" class="form-control input-sm" id="plot_scale" value="(TODO)"></td>
+                            </tr>
+                            <tr>
+                              <td>Align to Gene Cluster: </td>
+                              <td><input id="geneClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
+                            </tr>
+                          </tbody>
+                        </table>
+
+                        <span class="settings-header">Scale</span>
+                        <table id="scaleTable" style="margin-bottom: 20px;">
+                          <tbody>
+                            <tr id="show_scale">
+                              <td>Show scale</td>
+                              <td style="float: right"><div style="width: 20px;"><input id="show_scale_box" type="checkbox" class="layer_selectors"></div></td>
+                            </tr>
+                            <tr id="scale_interval">
+                              <td>Genome scale interval: </td>
+                              <td><input id="genome_scale_interval" class="form-control input-sm" type="text" value="100" size="4"></td>
+                            </tr>
+                          </tbody>
+                        </table>
+
+                        <span class="settings-header">Gene arrows</span>
+                        <p class="settings-section-info">Change colors of genes based on their functional annotations. You can also manually color genes temporarily. First, right-click on a gene. It will add the gene into the list below with a default color. Then, you can use the color picker next to it to set a color manually.</p>
+                        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
+                          <label id="arrow_style_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="arrow_style" data-original-title="" title="">Arrow style:</label>
+                          <div class="col-md-8">
+                            <select id="arrow_style" style="margin-bottom: 10px" class="form-control input-xs">
+                              <option value=1>Default</option>
+                              <option value=2>Wide</option>
+                              <option value=3>Pentagon</option>
+                            </select>
+                          </div>
+                        </div>
+                        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
+                          <label id="gene_colors_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="gene_color_order" data-original-title="" title="">Color genes by:</label>
+                          <div class="col-md-8">
+                            <select id="gene_color_order" style="margin-bottom: 10px" class="form-control input-xs"></select>
+                          </div>
+                        </div>
+                        <div id="table_function_colors_container" style="margin-top: 20px; color:black">
+                        </div>
+                        <button type="button" class="btn btn-primary btn-xs" onclick="resetFunctionColors()" class="btn btn-outline-primary">Reset Function colors</button>
+
+                        <span class="settings-header">Gene links</span>
+                        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
+                          <label id="link_style_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="link_style" data-original-title="" title="">Link style:</label>
+                          <div class="col-md-8">
+                            <select id="link_style" style="margin-bottom: 10px" class="form-control input-xs">
+                              <option value=1>Straight</option>
+                              <option value=2>Curved</option>
+                              <option value=3>Line</option>
+                              <option value=4>None</option>
+                            </select>
+                          </div>
+                        </div>
+                        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
+                          <label id="shade_by_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="shade_by" data-original-title="" title="">Shade by:</label>
+                          <div class="col-md-8">
+                            <select id="shade_by" style="margin-bottom: 10px" class="form-control input-xs">
+                              <option value=1>Gene Cluster</option>
+                              <option value=2>COG Category</option>
+                              <option value=3>KEGG Category</option>
+                              <option value=4>Custom</option>
+                            </select>
+                          </div>
+                        </div>
+                        <p>TODO: Color table for shades</p>
+
+                        <span class="settings-header">Labels</span>
+                        <table id="labels-table" style="margin-bottom: 20px;">
+                          <tbody>
+                            <tr id="show_genome_labels">
+                              <td>Show genome labels</td>
+                              <td style="float: right"><div style="width: 20px;"><input id="show_genome_labels_box" type="checkbox" class="layer_selectors"></div></td>
+                            </tr>
+                            <tr>
+                              <td>Genome label size:</td>
+                              <td><input type="text" class="form-control input-sm" id="genome_label" value="15"></td>
+                            </tr>
+                            <tr>
+                              <td>Genome label color:</td>
+                              <td><div class="colorpicker" id="genome_label_color" color="#008000" style="background-color: #008000"></div></td>
+                            </tr>
+                            <tr id="show_gene_labels">
+                              <td>Show gene labels</td>
+                              <td style="float: right"><div style="width: 20px;"><input id="show_gene_labels_box" type="checkbox" class="layer_selectors"></div></td>
+                            </tr>
+                            <tr>
+                              <td>Gene label size:</td>
+                              <td><input type="text" class="form-control input-sm" id="gene_label" value="40"></td>
+                            </tr>
+                            <tr>
+                              <td>Gene label color:</td>
+                              <td><div class="colorpicker" id="gene_label_color" color="#008000" style="background-color: #008000"></div></td>
+                            </tr>
+                          </tbody>
+                        </table>
 
                         <span class="settings-header">Get Sequence for a Range or Selection</span>
-                        <p class="settings-section-info">Using your mouse, you can make regional selections through the panel at the bottom of the inspection screen. Through this section you can make more precise selections by explicitly defining a range, and can get sequences for the selected region or for the entire split.</p>
+                        <p class="settings-section-info">Using your mouse, you can make regional selections through the panel at the bottom of the genome view screen. Through this section you can make more precise selections by explicitly defining a range, and can get sequences for individual genomes within the selected region or for the entire genome.</p>
 
                         <div id="range-box"></div>
                         <button type="button" class="btn btn-primary btn-xs" onclick="show_sequence_modal('Sequence', page_header + '\n' + sequence);">Get the entire split sequence</button><br />
@@ -58,7 +162,7 @@
                           <tbody>
                             <tr>
                               <td>Sliding window size (nt):</td>
-                              <td><input type="text" class="form-control input-sm" id="gc_window_size" value="100"></td>
+                              <td><input type="text" class="form-control input-sm" id="gc_window_size" value="30"></td>
                             </tr>
                             <tr>
                               <td>Step size:</td>
@@ -74,84 +178,12 @@
                         <button type="button" class="btn btn-primary btn-xs" onclick="applyOverlayGCContent();">Apply overlay</button>
                         <button type="button" class="btn btn-primary btn-xs" onclick="resetOverlayGCContent();">Reset overlay</button>
 
-
                         <span class="settings-header">Set/Reset Maximum Values</span>
                         <p class="settings-section-info">The y-axis on the left hand-side of each plot is automatically sclaed per sample as a function of the maximum coverage value. Using this section you can change the y-axis maximum for each sample independently, or set a single value for all samples to make coverages more comparable.</p>
                         <button type="button" class="btn btn-primary btn-xs" onclick="showSetMaxValuesDialog()" class="btn btn-outline-primary">Set maximum values</button><br />
                         <button type="button" class="btn btn-primary btn-xs" onclick="resetMaxValues()" class="btn btn-outline-primary">Reset maximum values</button><br />
 
-
-                        <span class="settings-header">SNVs and IN/DELS</span>
-                        <p class="settings-section-info">Show or hide single-nucleotide variant information and/or insertion/deletions anvi'o identified during the profiling of read recruitment. IN/DELs reaching the specified min sequence length will be marked in red. <a href="http://merenlab.org/2015/07/20/analyzing-variability/" target="_blank">See this</a> for more information on how to study microbial population genetics in anvi'o beyond displaying them in the context of reference sequences.</p>
-                        <p class="settings-section-info" id="settings-section-info-SNV-warning"></p>
-                        <table id="toggleSNVIndelTable" style="margin-bottom: 20px;">
-                          <tbody>
-                            <tr id="snv_picker">
-                              <td><div style="width: 20px;"><input id="toggle_label_box" type="checkbox" class="layer_selectors"></div></td>
-                              <td>Show Labels</td>
-                            </tr>
-                            <tr id="indels_picker">
-                              <td><div style="width: 20px;"><input id="toggle_indel_box" type="checkbox" class="layer_selectors"></div></td>
-                              <td>Show IN/DELs</td>
-                            </tr>
-                          </tbody>
-                        </table>
-
-                        <table id="indels" style="margin-bottom: 20px;">
-                          <tbody>
-                            <!-- <tr>
-                              <td>Min coverage of IN/DELS to show: </td>
-                              <td><input id="minIndelInput" class="form-control input-sm" type="text" value="" size="4"></td>
-                            </tr> -->
-                            <tr>
-                              <td>Mark IN/DELs greater than sequence length: </td>
-                              <td><input id="largeIndelInput" class="form-control input-sm" type="text" value="" size="4"></td>
-                            </tr>
-                          </tbody>
-                        </table>
-
-
-                        <span class="settings-header">Dynamic display features</span>
-                        <p class="settings-section-info">If you zoom in enough on a region, nucleotide and codon information will appear at the bottom of your screen when applicable. Here you can toggle that feature and/or disable vertical lines that highlight the position of your mouse on the screen.</p>
-                        <table style="margin-bottom: 20px;">
-                          <tbody>
-                            <tr>
-                              <td><div style="width: 20px;"><input id="toggle_nucl_box" type="checkbox" class="layer_selectors"></div></td>
-                              <td>Show nucleotides for selected sequence</td>
-                            </tr>
-                            <tr>
-                              <td><div style="width: 20px;"><input id="toggle_highlight_box" type="checkbox" class="layer_selectors"></div></td>
-                              <td>Show vertical mouse-over highlight box</td>
-                            </tr>
-                          </tbody>
-                        </table>
-
-
-                        <span class="settings-header">Genes</span>
-                        <p class="settings-section-info">Change colors of genes based on their functional annotations. You can also manually color genes temporarily. First, righ-click on a gene. It will add the gene into the list below with a default color. Then, you can use the color picker next to it to set a color manually. To see the effect of changing colors, you need to press the 'Redraw Gene Arrows' button.</p>
-                        <button type="button" class="btn btn-primary btn-xs" onclick="resetFunctionColors()" class="btn btn-outline-primary">Reset Function colors</button>
-                        <button type="button" class="btn btn-primary btn-xs" onclick="redrawArrows()" class="btn btn-outline-primary">Redraw Gene Arrows</button>
-                        <button type="button" class="btn btn-primary btn-xs" onclick="toggleShowCagsInSplit()" class="btn btn-outline-primary">Show only categories in this split</button>
-
-                        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
-                          <label id="gene_colors_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="gene_color_order" data-original-title="" title="">Color genes by:</label>
-                          <div class="col-md-8">
-                            <select id="gene_color_order" style="margin-bottom: 10px" class="form-control input-xs"></select>
-                          </div>
-                        </div>
-
-                        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
-                          <label id="arrow_style_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="arrow_style" data-original-title="" title="">Arrow style:</label>
-                          <div class="col-md-8">
-                            <select id="arrow_style" style="margin-bottom: 10px" class="form-control input-xs">
-                              <option value=1>Default</option>
-                              <option value=2>Wide</option>
-                              <option value=3>Pentagon</option>
-                            </select>
-                          </div>
-                        </div>
-
-                        <br><br><br><br>
+                        <br><br>
               </div>
 
               <div class="btn-group sidebar-footer" role="group" style="margin-top: 5px; padding-right: 20px; padding-bottom: 5px;">
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 049c80350d..3b163c3bd0 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -30,7 +30,9 @@
  var state = {};
  var spacing = 30; // vertical spacing between genomes
  var showLabels = true; // show genome labels?
+ var genomeLabelSize = 15; // font size of genome labels
  var showGeneLabels = true; // show gene labels?
+ var geneLabelSize = 40; // font size of gene labels
  var labelSpacing = 30;  // spacing default for genomeLabel canvas
  var draggableGridUnits = 35; // 'snap' to grid for better user feedback
  var showScale = true; // show nt scale?
@@ -205,7 +207,9 @@ function loadAll() {
   })
 
   $('#tooltip-body').hide() // set initual tooltip hide value
-  $('#toggle_label_box').attr("checked", showLabels);
+  $('#show_genome_labels_box').attr("checked", showLabels);
+  $('#show_gene_labels_box').attr("checked", showGeneLabels);
+  $('#show_scale_box').attr("checked", showScale);
 
   // can either set it on the canvas to check for all arrows, or when arrow is created.
   canvas.on('mouse:down', function(options) {
@@ -247,6 +251,11 @@ function loadAll() {
     draw()
   });
 
+  if(showGeneLabels && arrowStyle != 3) {
+    spacing = 60;
+    $("#genome_spacing").val(spacing);
+  }
+
   function showToolTip(event){
     $('#tooltip-body').show().append(`
       <p></p>
@@ -342,22 +351,51 @@ function loadAll() {
       toggleSettingsPanel();
     }
   });
+  $('#genome_spacing').on('keydown', function(e) {
+    if(e.keyCode == 13) { // 13 = enter key
+      setGenomeSpacing($(this).val());
+      $(this).blur();
+    }
+  });
+  $('#gene_label').on('keydown', function(e) {
+    if(e.keyCode == 13) { // 13 = enter key
+      setGeneLabelSize($(this).val());
+      $(this).blur();
+    }
+  });
+  $('#genome_label').on('keydown', function(e) {
+    if(e.keyCode == 13) { // 13 = enter key
+      setGenomeLabelSize($(this).val());
+      $(this).blur();
+    }
+  });
+  $('#genome_scale_interval').on('keydown', function(e) {
+    if(e.keyCode == 13) { // 13 = enter key
+      setScale($(this).val());
+      $(this).blur();
+    }
+  });
   $('#gene_color_order').on('change', function() {
       color_db = $(this).val();
-      canvas.clear();
       draw();
       $(this).blur();
   });
   $('#arrow_style').on('change', function() {
       arrowStyle = parseInt($(this).val());
-      canvas.clear();
       draw();
       $(this).blur();
   });
-  $('#toggle_label_box').on('change', function() {
+  $('#show_genome_labels_box').on('change', function() {
     showLabels = !showLabels;
     alignToGC = null;
-    canvas.clear();
+    draw();
+  });
+  $('#show_gene_labels_box').on('change', function() {
+    showGeneLabels = !showGeneLabels;
+    draw();
+  });
+  $('#show_scale_box').on('change', function() {
+    showScale = !showScale;
     draw();
   });
 }
@@ -374,10 +412,6 @@ function draw() {
     if(genomeEnd > genomeMax) genomeMax = genomeEnd;
   }
 
-  if(showGeneLabels && arrowStyle != 3) {
-    spacing = 60;
-  }
-
   var y = 1;
   for(genome of genomeData.genomes) {
     let label = genome[1].genes.gene_calls[0].contig;
@@ -387,40 +421,43 @@ function draw() {
     y++;
   }
 
-  if(showScale) {
-    for(var w = 0; w < genomeMax; w+=scale) {
-      canvas.add(new fabric.Line([0,0,0,20], {left: w+(showLabels?120:0),
-            top: y*(spacing)-24,
-            stroke: 'black',
-            strokeWidth: 1,
-            fontSize: 10,
-            fontFamily: 'sans-serif',
-            selectable: false}));
-
-      canvas.add(new fabric.Text(w/1000 + " kB", {left: w+5+(showLabels?120:0),
-            top: y*(spacing)-24,
-            stroke: 'black',
-            strokeWidth: .25,
-            fontSize: 15,
-            fontFamily: 'sans-serif',
-            selectable: false}));
-    }
+  drawScale(y);
+  shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"},spacing);
+}
+
+function drawScale(y) {
+  if(!showScale) return;
 
-    canvas.add(new fabric.Line([0,0,100,0], {left: (showLabels?120:0),
-          top: y*(1.25*spacing)-4,
+  for(var w = 0; w < genomeMax; w+=scale) {
+    canvas.add(new fabric.Line([0,0,0,20], {left: w+(showLabels?120:0),
+          top: y*(spacing)-24,
           stroke: 'black',
-          strokeWidth: 2,
+          strokeWidth: 1,
+          fontSize: 10,
+          fontFamily: 'sans-serif',
           selectable: false}));
-    canvas.add(new fabric.Text("100 nts", {left: 15+(showLabels?120:0),
-          top: y*(1.25*spacing)-4,
+
+    canvas.add(new fabric.Text(w/1000 + " kB", {left: w+5+(showLabels?120:0),
+          top: y*(spacing)-24,
           stroke: 'black',
-          strokeWidth: 1,
-          fontSize: 20,
+          strokeWidth: .25,
+          fontSize: 15,
           fontFamily: 'sans-serif',
           selectable: false}));
   }
 
-  shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"},spacing);
+  canvas.add(new fabric.Line([0,0,100,0], {left: (showLabels?120:0),
+        top: y*(1.25*spacing)-4,
+        stroke: 'black',
+        strokeWidth: 2,
+        selectable: false}));
+  canvas.add(new fabric.Text("100 nts", {left: 15+(showLabels?120:0),
+        top: y*(1.25*spacing)-4,
+        stroke: 'black',
+        strokeWidth: 1,
+        fontSize: 20,
+        fontFamily: 'sans-serif',
+        selectable: false}));
 }
 
 function shadeGeneClusters(geneClusters, colors, y) {
@@ -456,8 +493,6 @@ function shadeGeneClusters(geneClusters, colors, y) {
 function alignToCluster(gc) {
   if(!gc || gc in genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"]) {
     alignToGC = gc;
-    showLabels = !gc; // only show labels if changing to default view
-    $('#toggle_label_box').attr("checked", showLabels);
 
     for(genome of genomeData.genomes) {
       var genomeGCs = genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][alignToGC][genome[0]];
@@ -477,14 +512,56 @@ function alignToCluster(gc) {
   } else {
     console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
   }
-  canvas.clear();
   draw();
 }
 
+function setGenomeSpacing(newSpacing) {
+  if(isNaN(newSpacing)) return;
+  newSpacing = parseInt(newSpacing);
+  if(newSpacing < 0 || newSpacing > 1000) {
+    alert(`Invalid value, genome spacing must be in range 0-1000.`);
+    return;
+  }
+  spacing = newSpacing;
+  draw();
+}
+
+function setScale(newScale) {
+  if(isNaN(newScale)) return;
+  newScale = parseInt(newScale);
+  if(newScale < 50) {
+    alert(`Invalid value, scale interval must be >=50.`);
+    return;
+  }
+  scale = newScale;
+  draw();
+}
+
+function setGeneLabelSize(newSize) {
+  if(isNaN(newSize)) return;
+  newSize = parseInt(newSize);
+  if(newSize < 0 || newSize > 1000) {
+    alert(`Invalid value, gene label size must be in range 0-1000.`);
+    return;
+  }
+  geneLabelSize = newSize;
+  if(showGeneLabels) draw();
+}
+
+function setGenomeLabelSize(newSize) {
+  if(isNaN(newSize)) return;
+  newSize = parseInt(newSize);
+  if(newSize < 0 || newSize > 1000) {
+    alert(`Invalid value, genome label size must be in range 0-1000.`);
+    return;
+  }
+  genomeLabelSize = newSize;
+  if(showLabels) draw();
+}
+
 function addGenome(label, gene_list, genomeID, y) {
-  // label
   if(showLabels) {
-    canvas.add(new fabric.Text(label, {top: spacing*y-5, selectable: false, fontSize: 15, fontFamily: 'sans-serif', fontWeight: 'bold'}));
+    canvas.add(new fabric.Text(label, {top: spacing*y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
   }
 
   // line
@@ -511,6 +588,7 @@ function addGenome(label, gene_list, genomeID, y) {
 
     if(showGeneLabels) {
       var label = new fabric.IText("geneID: "+geneID, {
+        fontSize:geneLabelSize,
         hasControls:false,
         lockMovementX: true,
         lockMovementY: true,

From d9c8179beccc277cdb106de85791e2918b0544fc Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 17 Jun 2021 15:55:40 +0000
Subject: [PATCH 0058/1020] remove depricated genome label canvas

---
 anvio/data/interactive/genomeview.html  |  7 -------
 anvio/data/interactive/js/genomeview.js | 10 +---------
 2 files changed, 1 insertion(+), 16 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index f0657e6cb1..a45124b3a3 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -16,13 +16,6 @@
     <body>
         <div class="container">
             <div id='labelAndMainContainer'>
-              <div id='labelAndDropdownContainer'>
-                <select onchange='changeGenomeOrder(event)' id='genomeOrderSelect'>
-                    <option disabled selected value> -- Genome Order -- </option>
-                    <option>Alphabetical</option>
-                </select>
-                <canvas id='genomeLabels' width="200px" height='500px'></canvas>
-              </div>
               <canvas id="myCanvas" width="1200px" height="500px"></canvas>
             </div>
             <div id='scaleContainer'>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 3b163c3bd0..d9b3306b8d 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -715,15 +715,7 @@ function resetScale(){
 }
 
 function drawGenomeLabels(label){
-  genomeLabelsCanvas.add(new fabric.Text(label, {
-    top : labelSpacing,
-    fontSize : 15,
-    fontFamily: 'sans-serif',
-    fontWeight: 'bold',
-    selectable : true,
-    hasControls : false,
-    lockMovementX : true
-  }))
+  console.log(label);
 }
 
 function changeGenomeOrder(event){

From 866516c2b5c6540182f4dad2279c532930bd9ea2 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 17 Jun 2021 16:18:25 +0000
Subject: [PATCH 0059/1020] swipe index.html layer ui for genome ui

---
 anvio/data/interactive/genomeview.html | 61 ++++++++++++++++++++++++++
 1 file changed, 61 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index a45124b3a3..923dec8d82 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -50,6 +50,67 @@
                           </tbody>
                         </table>
 
+                        <span class="settings-header">Genomes</span>
+
+                  <div id="table_layers_container" style="margin-top: 15px;">
+                      <table id="table_layers">
+                          <thead>
+                              <tr>
+                                  <td></td>
+                                  <td data-help="layer-name">Name</td>
+                                  <td data-help="layer-color"><div style="width: 32px;">Color</div></td>
+                                  <td data-help="layer-type">Type</td>
+                                  <td data-help="layer-norm">Norm.</td>
+                                  <td data-help="layer-height">Height</td>
+                                  <td data-help="layer-margin" class="column-margin">Margin</td>
+                                  <td data-help="layer-min">Min</td>
+                                  <td data-help="layer-max">Max</td>
+                              </tr>
+                          </thead>
+                          <tbody id="tbody_layers"></tbody>
+                          <tbody id="tbody_bottom">
+                              <tr style="height: 30px">
+                                  <td colspan="9">
+                                      <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multiple-layers">Edit attributes for multiple layers</h4>
+                                  </td>
+                              </tr>
+                              <tr>
+                                  <td></td>
+                                  <td><input class="select_layer" placeholder="Select Layer" size="12"></td>
+                                  <td>
+                                      <div id="picker_start_multiple" class="colorpicker-base" color="#FFFFFF" style="background-color: #FFFFFF"></div>
+                                      <div id="picker_multiple" class="colorpicker-base" color="#FFFFFF" style="background-color: #FFFFFF" ></div>
+                                  </td>
+                                  <td style="width: 50px;">
+                                      <select class="type_multiple" style="width: 50px;" class="type">
+                                          <option value="">Select</option>
+                                          <option value="" disabled>-----Numerical Types-----</option>
+                                          <option value="bar">Bar</option>
+                                          <option value="intensity">Intensity</option>
+                                          <option value="line">Line</option>
+                                          <option value="" disabled>-----Categorical Types-----</option>
+                                          <option value="color">Color</option>
+                                          <option value="text">Text</option>
+                                      </select>
+                                  </td>
+                                  <td>
+                                      <select class="normalization_multiple">
+                                          <option value="">Select</option>
+                                          <option value="none">none</option>
+                                          <option value="sqrt">sqrt</option>
+                                          <option value="log">log</option>
+                                      </select>
+                                  </td>
+                                  <td><input class="input-height-multiple" size="3"></input></td>
+                                  <td class="column-margin"><input class="input-margin-multiple" size="3"></input></td>
+                                  <td><input class="input-min-multiple" size="4"></input></td>
+                                  <td><input class="input-max-multiple" size="4"></input></td>
+                                  <td><input type="checkbox" class="select_all"></td>
+                              </tr>
+                          </tbody>
+                      </table>
+                  </div>
+
                         <span class="settings-header">Scale</span>
                         <table id="scaleTable" style="margin-bottom: 20px;">
                           <tbody>

From 8336ae23a621ede60b574e7f4088bf4b00c4165f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 17 Jun 2021 16:24:01 +0000
Subject: [PATCH 0060/1020] refactor drawGenomeLables() to take entire genomes
 obj

---
 anvio/data/interactive/js/genomeview.js | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index d9b3306b8d..ee95755f44 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -416,11 +416,10 @@ function draw() {
   for(genome of genomeData.genomes) {
     let label = genome[1].genes.gene_calls[0].contig;
     addGenome(label, genome[1].genes.gene_calls, genome[0], y)
-    drawGenomeLabels(label)
     labelSpacing += 30
     y++;
   }
-
+  buildGenomesTable(genomeData.genomes)
   drawScale(y);
   shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"},spacing);
 }
@@ -714,8 +713,8 @@ function resetScale(){
   canvas.setZoom(1)
 }
 
-function drawGenomeLabels(label){
-  console.log(label);
+function buildGenomesTable(genomes){
+  console.log(genomes);
 }
 
 function changeGenomeOrder(event){

From 86856f22b5ae6aed7c51187893eb954bd398702d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 17 Jun 2021 16:26:50 +0000
Subject: [PATCH 0061/1020] temp hardcoded genome order value until we get it
 from backend

---
 anvio/data/interactive/js/genomeview.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index ee95755f44..e362c5b016 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -419,7 +419,7 @@ function draw() {
     labelSpacing += 30
     y++;
   }
-  buildGenomesTable(genomeData.genomes)
+  buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
   drawScale(y);
   shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"},spacing);
 }
@@ -713,7 +713,7 @@ function resetScale(){
   canvas.setZoom(1)
 }
 
-function buildGenomesTable(genomes){
+function buildGenomesTable(genomes, order){
   console.log(genomes);
 }
 

From e3dfb18228b6892ba8ee99b21813a28c2c3dab1d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 17 Jun 2021 16:36:26 +0000
Subject: [PATCH 0062/1020] rendering genome labels to settings pane

---
 anvio/data/interactive/genomeview.html  |  4 ++--
 anvio/data/interactive/js/genomeview.js | 27 ++++++++++++++++++++++++-
 2 files changed, 28 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 923dec8d82..2e30f88687 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -53,7 +53,7 @@
                         <span class="settings-header">Genomes</span>
 
                   <div id="table_layers_container" style="margin-top: 15px;">
-                      <table id="table_layers">
+                      <table id="table_genomes">
                           <thead>
                               <tr>
                                   <td></td>
@@ -67,7 +67,7 @@
                                   <td data-help="layer-max">Max</td>
                               </tr>
                           </thead>
-                          <tbody id="tbody_layers"></tbody>
+                          <tbody id="tbody_genomes"></tbody>
                           <tbody id="tbody_bottom">
                               <tr style="height: 30px">
                                   <td colspan="9">
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index e362c5b016..828800b6d2 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -714,7 +714,32 @@ function resetScale(){
 }
 
 function buildGenomesTable(genomes, order){
-  console.log(genomes);
+
+  var height = '50';
+  var margin = '15';
+  var template = '<tr>' +
+                '<td><img src="images/drag.gif" /></td>' +
+                '<td> {Parent} </td>' +
+                '<td>n/a</td>' +
+                '<td>n/a</td>' +
+                '<td>n/a</td>' +
+                '<td><input class="input-height" type="text" size="3" id="height{id}" value="{height}"></input></td>' +
+                '<td class="column-margin"><input class="input-margin" type="text" size="3" id="margin{id}" value="{margin}"></input></td>' +
+                '<td>n/a</td>' +
+                '<td>n/a</td>' +
+                '<td><input type="checkbox" class="layer_selectors"></input></td>' +
+                '</tr>';
+
+  genomes.map(genome => {
+    let genomeLabel= Object.keys(genome[1]['contigs']['info']); // this is genome label
+    template = template.replace(new RegExp('{Parent}', 'g'), genomeLabel)
+                               .replace(new RegExp('{height}', 'g'), height)
+                               .replace(new RegExp('{margin}', 'g'), margin);
+
+            $('#tbody_genomes').prepend(template);
+    
+  })
+
 }
 
 function changeGenomeOrder(event){

From a1c53a77ef94ec6935ef419ef3dbe782053e69d3 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 17 Jun 2021 16:37:41 +0000
Subject: [PATCH 0063/1020] lil cleanup

---
 anvio/data/interactive/js/genomeview.js | 12 +++++-------
 1 file changed, 5 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 828800b6d2..07df509be2 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -731,21 +731,19 @@ function buildGenomesTable(genomes, order){
                 '</tr>';
 
   genomes.map(genome => {
-    let genomeLabel= Object.keys(genome[1]['contigs']['info']); // this is genome label
+    let genomeLabel= Object.keys(genome[1]['contigs']['info']); // this is our genome label
+
     template = template.replace(new RegExp('{Parent}', 'g'), genomeLabel)
-                               .replace(new RegExp('{height}', 'g'), height)
-                               .replace(new RegExp('{margin}', 'g'), margin);
+                       .replace(new RegExp('{height}', 'g'), height)
+                       .replace(new RegExp('{margin}', 'g'), margin);
 
-            $('#tbody_genomes').prepend(template);
-    
+    $('#tbody_genomes').prepend(template);
   })
-
 }
 
 function changeGenomeOrder(event){
 
   if(event.target.value === "Alphabetical"){
     console.log(typeof genomeData.genomes)
-
   }
 }

From 465a2fbc697cbfb4352cf4c33d9a2150d89ec750 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 17 Jun 2021 16:41:10 +0000
Subject: [PATCH 0064/1020] hook in misc jquery libs for settings menu UI

---
 anvio/data/interactive/genomeview.html | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 2e30f88687..8d59c34fca 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -8,6 +8,16 @@
         <link rel="stylesheet" type="text/css" href="./css/genomeview.css" />
         <link rel="shortcut icon" href="#">
         <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
+        <script type="text/javascript" src="lib/jquery-svgpan/jquery-svgpan.js"></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/core.js"></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/widget.js"></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/mouse.js"></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/sortable.js"></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/draggable.js"></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/accordion.js"></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/resizable.js"></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/button.js"></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/position.js"></script>
         <script type="text/javascript" src="./js/genomeview.js"></script>
         <script type="text/javascript" src="./js/constants.js"></script>
 

From 96174baef360dfed6a762bc33e719d611148544d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 17 Jun 2021 17:23:45 +0000
Subject: [PATCH 0065/1020] hooking in jquery sortable for genome order

---
 anvio/data/interactive/genomeview.html  |  2 +-
 anvio/data/interactive/js/genomeview.js | 11 +++++++++++
 2 files changed, 12 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 8d59c34fca..07d2089b76 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -63,7 +63,7 @@
                         <span class="settings-header">Genomes</span>
 
                   <div id="table_layers_container" style="margin-top: 15px;">
-                      <table id="table_genomes">
+                      <table id="table_genomes" class='sortable'>
                           <thead>
                               <tr>
                                   <td></td>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 07df509be2..912dc51173 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -739,6 +739,8 @@ function buildGenomesTable(genomes, order){
 
     $('#tbody_genomes').prepend(template);
   })
+  $("#tbody_genomes").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).enableSelection();
+
 }
 
 function changeGenomeOrder(event){
@@ -747,3 +749,12 @@ function changeGenomeOrder(event){
     console.log(typeof genomeData.genomes)
   }
 }
+
+var fixHelperModified = function(e, tr) { // ripped from utils.js instead of importing the whole file
+  var $originals = tr.children();
+  var $helper = tr.clone();
+  $helper.children().each(function(index) {
+      $(this).width($originals.eq(index).width());
+  });
+  return $helper;
+};
\ No newline at end of file

From a1078d3c54d78fa553d45798a0b68636b8cd4e78 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 17 Jun 2021 17:32:58 +0000
Subject: [PATCH 0066/1020] tracking sort mouse event

---
 anvio/data/interactive/js/genomeview.js | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 912dc51173..3040be1207 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -741,6 +741,10 @@ function buildGenomesTable(genomes, order){
   })
   $("#tbody_genomes").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).enableSelection();
 
+  $('#table_genomes .drag-icon').on('mousedown', function() {
+    console.log('sorting');
+    // $('#samples_order').val('custom').trigger('change');
+  });
 }
 
 function changeGenomeOrder(event){

From 0a3066fac8ae3b22e162cfe5754a3d2fd88ba327 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 19 Jun 2021 13:09:27 -0500
Subject: [PATCH 0067/1020] x-axis zoom functionality

---
 anvio/data/interactive/genomeview.html  |   2 +
 anvio/data/interactive/js/genomeview.js | 108 +++++++++++++++---------
 2 files changed, 69 insertions(+), 41 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 07d2089b76..f6903dd34a 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -31,6 +31,8 @@
             <div id='scaleContainer'>
               <nutton id='reset-scale' onclick="resetScale()">reset scale</nutton>
               <canvas id="scale" width="1200px" height="200px"></canvas>
+              <button id="zoom-in" onclick="zoomIn()">+</button>
+              <button id="zoom-out" onclick="zoomOut()">-</button>
             </div>
             <div id='tooltip-body' display='none'></div>
 
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 3040be1207..708d557c04 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -37,6 +37,7 @@
  var draggableGridUnits = 35; // 'snap' to grid for better user feedback
  var showScale = true; // show nt scale?
  var scale = 100; // nt scale intervals
+ var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
 
  var alignToGC = null;
 
@@ -184,7 +185,7 @@ function loadAll() {
     }
     let mainCanvasWidth = canvas.getWidth()
     let [percentileStart, percentileEnd] = [scaleDragStartingX/totalScaleX, scaleDragEndingX/totalScaleX]
-    let percentileToShow = (percentileEnd - percentileStart).toFixed(2)
+    let percentileToShow = Math.abs(percentileEnd - percentileStart).toFixed(2)
 
     let moveTo = new fabric.Point(mainCanvasWidth * percentileStart, 0)
     // process for contextual zooming based on drag event from scale canvas.
@@ -203,7 +204,15 @@ function loadAll() {
     }))
     canvas.setZoom(.01)
     canvas.absolutePan({x: moveTo.x, y: moveTo.y})
-    canvas.setZoom(percentileToShow > .1 ? 1 - percentileToShow : 1) //TODO ask someone who knows how to math to make this better :)
+    //canvas.setZoom(percentileToShow > .1 ? 1 - percentileToShow : 1) //TODO ask someone who knows how to math to make this better :)
+    canvas.setZoom(1);
+
+    let ntsToShow = percentileToShow*10000; // 10000 should be changed to genomeMax; but for now we use a smaller value for testing
+    scaleFactor = mainCanvasWidth/ntsToShow;
+    if(scaleFactor > 4) scaleFactor = 4;
+    if(scale * scaleFactor < 50) scale *= 2; // temporary fix for legibility
+    $('#genome_scale_interval').val(scale);
+    draw(scaleX=scaleFactor);
   })
 
   $('#tooltip-body').hide() // set initual tooltip hide value
@@ -248,7 +257,7 @@ function loadAll() {
       })
     })
     genomeData.genomes = newGenomeOrder
-    draw()
+    draw(scaleFactor)
   });
 
   if(showGeneLabels && arrowStyle != 3) {
@@ -297,7 +306,14 @@ function loadAll() {
     }));
   }
 
-  draw();
+  // Find max length genome
+  for(genome of genomeData.genomes) {
+    genome = genome[1].genes.gene_calls;
+    let genomeEnd = genome[Object.keys(genome).length-1].stop;
+    if(genomeEnd > genomeMax) genomeMax = genomeEnd;
+  }
+
+  draw(scaleFactor);
 
   // zooming and panning
   // http://fabricjs.com/fabric-intro-part-5#pan_zoom
@@ -377,58 +393,51 @@ function loadAll() {
   });
   $('#gene_color_order').on('change', function() {
       color_db = $(this).val();
-      draw();
+      draw(scaleFactor);
       $(this).blur();
   });
   $('#arrow_style').on('change', function() {
       arrowStyle = parseInt($(this).val());
-      draw();
+      draw(scaleFactor);
       $(this).blur();
   });
   $('#show_genome_labels_box').on('change', function() {
     showLabels = !showLabels;
     alignToGC = null;
-    draw();
+    draw(scaleFactor);
   });
   $('#show_gene_labels_box').on('change', function() {
     showGeneLabels = !showGeneLabels;
-    draw();
+    draw(scaleFactor);
   });
   $('#show_scale_box').on('change', function() {
     showScale = !showScale;
-    draw();
+    draw(scaleFactor);
   });
 }
 
-function draw() {
+function draw(scaleX=1) {
   genomeLabelsCanvas.clear()
   canvas.clear()
   labelSpacing = 30 // reset to default value upon each draw() call
 
-  // Find max length genome
-  for(genome of genomeData.genomes) {
-    genome = genome[1].genes.gene_calls;
-    let genomeEnd = genome[Object.keys(genome).length-1].stop;
-    if(genomeEnd > genomeMax) genomeMax = genomeEnd;
-  }
-
   var y = 1;
   for(genome of genomeData.genomes) {
     let label = genome[1].genes.gene_calls[0].contig;
-    addGenome(label, genome[1].genes.gene_calls, genome[0], y)
+    addGenome(label, genome[1].genes.gene_calls, genome[0], y, scaleX=scaleX)
     labelSpacing += 30
     y++;
   }
   buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
-  drawScale(y);
+  drawScale(y, scaleFactor);
   shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"},spacing);
 }
 
-function drawScale(y) {
+function drawScale(y, scaleX=1) {
   if(!showScale) return;
 
   for(var w = 0; w < genomeMax; w+=scale) {
-    canvas.add(new fabric.Line([0,0,0,20], {left: w+(showLabels?120:0),
+    canvas.add(new fabric.Line([0,0,0,20], {left: (w+(showLabels?120:0))*scaleX,
           top: y*(spacing)-24,
           stroke: 'black',
           strokeWidth: 1,
@@ -436,7 +445,7 @@ function drawScale(y) {
           fontFamily: 'sans-serif',
           selectable: false}));
 
-    canvas.add(new fabric.Text(w/1000 + " kB", {left: w+5+(showLabels?120:0),
+    canvas.add(new fabric.Text(w/1000 + " kB", {left: (w+5+(showLabels?120:0))*scaleX,
           top: y*(spacing)-24,
           stroke: 'black',
           strokeWidth: .25,
@@ -445,12 +454,12 @@ function drawScale(y) {
           selectable: false}));
   }
 
-  canvas.add(new fabric.Line([0,0,100,0], {left: (showLabels?120:0),
+  canvas.add(new fabric.Line([0,0,100,0], {left: (showLabels?120:0)*scaleX,
         top: y*(1.25*spacing)-4,
         stroke: 'black',
         strokeWidth: 2,
         selectable: false}));
-  canvas.add(new fabric.Text("100 nts", {left: 15+(showLabels?120:0),
+  canvas.add(new fabric.Text("100 nts", {left: (15+(showLabels?120:0))*scaleX,
         top: y*(1.25*spacing)-4,
         stroke: 'black',
         strokeWidth: 1,
@@ -459,6 +468,20 @@ function drawScale(y) {
         selectable: false}));
 }
 
+function zoomIn() {
+  scaleFactor += (scaleFactor < 0.2 ? .01 : .1);
+  if(scaleFactor > 4) scaleFactor = 4;
+  draw(scaleFactor);
+}
+
+function zoomOut() {
+  scaleFactor -= (scaleFactor < 0.2 ? .01 : .1);
+  if(scaleFactor < 0.01) scaleFactor = 0.01;
+  if(scale * scaleFactor < 50) scale *= 2; // temporary fix for legibility
+  $('#genome_scale_interval').val(scale);
+  draw(scaleFactor);
+}
+
 function shadeGeneClusters(geneClusters, colors, y) {
   for(var i = 0; i < genomeData.genomes.length-1; i++) {
     let genomeA = genomeData.genomes[i][1].genes.gene_calls;
@@ -475,13 +498,16 @@ function shadeGeneClusters(geneClusters, colors, y) {
         g2.push(genomeB[geneID].start, genomeB[geneID].stop);
       }
 
+      g1 = g1.map(val => val*scaleFactor);
+      g2 = g2.map(val => val*scaleFactor);
+
       /* TODO: implementation for multiple genes of the same genome in the same gene cluster */
       var path = new fabric.Path("M " + g1[0] + " " + y + " L " + g1[1] + " " + y + " L " + g2[1] + " " + (y+spacing) + " L " + g2[0] + " " + (y+spacing) + " z", {
         fill: colors[gc],
         opacity: 0.25,
         selectable: false
       });
-      path.left += (showLabels?120:0);
+      path.left += (showLabels?120:0)*scaleFactor;
       path.sendBackwards();
       canvas.add(path);
     }
@@ -503,7 +529,7 @@ function alignToCluster(gc) {
       resetScale();
       var windowCenter = canvas.getWidth()/2 - canvas.viewportTransform[4]; // canvas.getWidth()/2 is clientX of center of screen
       var shift = windowCenter - genePos;
-      canvas.viewportTransform[4] += shift;
+      canvas.viewportTransform[4] += (shift*scaleFactor);
       canvas.setZoom(tmp);
       break;
     }
@@ -511,7 +537,7 @@ function alignToCluster(gc) {
   } else {
     console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
   }
-  draw();
+  draw(scaleFactor);
 }
 
 function setGenomeSpacing(newSpacing) {
@@ -522,7 +548,7 @@ function setGenomeSpacing(newSpacing) {
     return;
   }
   spacing = newSpacing;
-  draw();
+  draw(scaleFactor);
 }
 
 function setScale(newScale) {
@@ -533,7 +559,7 @@ function setScale(newScale) {
     return;
   }
   scale = newScale;
-  draw();
+  draw(scaleFactor);
 }
 
 function setGeneLabelSize(newSize) {
@@ -544,7 +570,7 @@ function setGeneLabelSize(newSize) {
     return;
   }
   geneLabelSize = newSize;
-  if(showGeneLabels) draw();
+  if(showGeneLabels) draw(scaleFactor);
 }
 
 function setGenomeLabelSize(newSize) {
@@ -555,16 +581,16 @@ function setGenomeLabelSize(newSize) {
     return;
   }
   genomeLabelSize = newSize;
-  if(showLabels) draw();
+  if(showLabels) draw(scaleFactor);
 }
 
-function addGenome(label, gene_list, genomeID, y) {
+function addGenome(label, gene_list, genomeID, y, scaleX=1) {
   if(showLabels) {
     canvas.add(new fabric.Text(label, {top: spacing*y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
   }
 
   // line
-  canvas.add(new fabric.Line([0,0,genomeMax,0], {left: showLabels?120:0,
+  canvas.add(new fabric.Line([0,0,genomeMax*scaleX,0], {left: showLabels?120*scaleX:0,
         top: spacing*y + 4,
         stroke: 'black',
         strokeWidth: 2,
@@ -579,9 +605,9 @@ function addGenome(label, gene_list, genomeID, y) {
     let gene = gene_list[geneID];
     //geneGroup.addWithUpdate(geneArrow(gene,y));   // IMPORTANT: only way to select is to select the group or use indices. maybe don't group them but some alternative which lets me scale them all at once?
     var geneIndex = genomeData.genomes.findIndex(g => genomeID == g[0]);
-    var geneObj = geneArrow(gene,geneID,genomeData.genomes[geneIndex][1].genes.functions[geneID],y,genomeID,arrowStyle);
+    var geneObj = geneArrow(gene,geneID,genomeData.genomes[geneIndex][1].genes.functions[geneID],y,genomeID,arrowStyle,scaleX=scaleX);
     if(showLabels) {
-      geneObj.left += 120;
+      geneObj.left += 120*scaleX;
     }
     canvas.add(geneObj);
 
@@ -598,7 +624,7 @@ function addGenome(label, gene_list, genomeID, y) {
       if(arrowStyle == 3) {
         label.set({
           top: -5+spacing*y,
-          left: 150+gene.start,
+          left: (150+gene.start)*scaleX,
           scaleX: 0.5,
           scaleY: 0.5,
           selectionColor:'rgba(128,128,128,.5)'
@@ -608,7 +634,7 @@ function addGenome(label, gene_list, genomeID, y) {
           scaleX: 0.5,
           scaleY: 0.5,
           top: -30+spacing*y,
-          left: 200+gene.start,
+          left: (200+gene.start)*scaleX,
           angle: -10,
           selectionColor:'rgba(128,128,128,.2)'
         });
@@ -620,7 +646,7 @@ function addGenome(label, gene_list, genomeID, y) {
   //geneGroup.destroy();
 }
 
-function geneArrow(gene, geneID, functions, y, genomeID, style) {
+function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {
   var cag = null;
   var color = 'gray';
   if(functions) {
@@ -648,7 +674,7 @@ function geneArrow(gene, geneID, functions, y, genomeID, style) {
   }
   /* Issue here: each genome might be differentially annotated... how to make sure all have COG annotations for example? */
 
-  var length = gene.stop-gene.start;
+  let length = (gene.stop-gene.start)*scaleX;
 
   var arrowPathStr;
   switch(style) {
@@ -671,7 +697,7 @@ function geneArrow(gene, geneID, functions, y, genomeID, style) {
     geneID: geneID,
     genomeID: genomeID,
     top: style == 3 ? -17+spacing*y : -11+spacing*y,
-    left: 1.5+gene.start,
+    left: (1.5+gene.start)*scaleX,
     fill: color,
     stroke: 'gray',
     strokeWidth: style == 3 ? 3 : 1.5
@@ -761,4 +787,4 @@ var fixHelperModified = function(e, tr) { // ripped from utils.js instead of imp
       $(this).width($originals.eq(index).width());
   });
   return $helper;
-};
\ No newline at end of file
+};

From 18276645d9f21268b0eb4c2ef29ddf9680907f16 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 20 Jun 2021 11:04:51 -0500
Subject: [PATCH 0068/1020] dynamically show/hide gene labels

---
 anvio/data/interactive/js/genomeview.js | 49 +++++++++++++++----------
 1 file changed, 30 insertions(+), 19 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 708d557c04..e8c6ebd0a1 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -212,7 +212,8 @@ function loadAll() {
     if(scaleFactor > 4) scaleFactor = 4;
     if(scale * scaleFactor < 50) scale *= 2; // temporary fix for legibility
     $('#genome_scale_interval').val(scale);
-    draw(scaleX=scaleFactor);
+    draw();
+    checkGeneLabels();
   })
 
   $('#tooltip-body').hide() // set initual tooltip hide value
@@ -257,7 +258,7 @@ function loadAll() {
       })
     })
     genomeData.genomes = newGenomeOrder
-    draw(scaleFactor)
+    draw()
   });
 
   if(showGeneLabels && arrowStyle != 3) {
@@ -313,7 +314,7 @@ function loadAll() {
     if(genomeEnd > genomeMax) genomeMax = genomeEnd;
   }
 
-  draw(scaleFactor);
+  draw();
 
   // zooming and panning
   // http://fabricjs.com/fabric-intro-part-5#pan_zoom
@@ -393,30 +394,30 @@ function loadAll() {
   });
   $('#gene_color_order').on('change', function() {
       color_db = $(this).val();
-      draw(scaleFactor);
+      draw();
       $(this).blur();
   });
   $('#arrow_style').on('change', function() {
       arrowStyle = parseInt($(this).val());
-      draw(scaleFactor);
+      draw();
       $(this).blur();
   });
   $('#show_genome_labels_box').on('change', function() {
     showLabels = !showLabels;
     alignToGC = null;
-    draw(scaleFactor);
+    draw();
   });
   $('#show_gene_labels_box').on('change', function() {
     showGeneLabels = !showGeneLabels;
-    draw(scaleFactor);
+    draw();
   });
   $('#show_scale_box').on('change', function() {
     showScale = !showScale;
-    draw(scaleFactor);
+    draw();
   });
 }
 
-function draw(scaleX=1) {
+function draw(scaleX=scaleFactor) {
   genomeLabelsCanvas.clear()
   canvas.clear()
   labelSpacing = 30 // reset to default value upon each draw() call
@@ -471,7 +472,8 @@ function drawScale(y, scaleX=1) {
 function zoomIn() {
   scaleFactor += (scaleFactor < 0.2 ? .01 : .1);
   if(scaleFactor > 4) scaleFactor = 4;
-  draw(scaleFactor);
+  draw();
+  checkGeneLabels();
 }
 
 function zoomOut() {
@@ -479,7 +481,8 @@ function zoomOut() {
   if(scaleFactor < 0.01) scaleFactor = 0.01;
   if(scale * scaleFactor < 50) scale *= 2; // temporary fix for legibility
   $('#genome_scale_interval').val(scale);
-  draw(scaleFactor);
+  draw();
+  checkGeneLabels();
 }
 
 function shadeGeneClusters(geneClusters, colors, y) {
@@ -515,6 +518,13 @@ function shadeGeneClusters(geneClusters, colors, y) {
   }
 }
 
+function checkGeneLabels() {
+  var labels = canvas.getObjects().filter(obj => obj.id == 'geneLabel');
+  for(var i = 0; i < labels.length-1; i++) {
+    labels[i].visible = labels[i+1].visible = !labels[i].intersectsWithObject(labels[i+1]);
+  }
+}
+
 function alignToCluster(gc) {
   if(!gc || gc in genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"]) {
     alignToGC = gc;
@@ -537,7 +547,7 @@ function alignToCluster(gc) {
   } else {
     console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
   }
-  draw(scaleFactor);
+  draw();
 }
 
 function setGenomeSpacing(newSpacing) {
@@ -548,7 +558,7 @@ function setGenomeSpacing(newSpacing) {
     return;
   }
   spacing = newSpacing;
-  draw(scaleFactor);
+  draw();
 }
 
 function setScale(newScale) {
@@ -559,7 +569,7 @@ function setScale(newScale) {
     return;
   }
   scale = newScale;
-  draw(scaleFactor);
+  draw();
 }
 
 function setGeneLabelSize(newSize) {
@@ -570,7 +580,7 @@ function setGeneLabelSize(newSize) {
     return;
   }
   geneLabelSize = newSize;
-  if(showGeneLabels) draw(scaleFactor);
+  if(showGeneLabels) draw();
 }
 
 function setGenomeLabelSize(newSize) {
@@ -581,7 +591,7 @@ function setGenomeLabelSize(newSize) {
     return;
   }
   genomeLabelSize = newSize;
-  if(showLabels) draw(scaleFactor);
+  if(showLabels) draw();
 }
 
 function addGenome(label, gene_list, genomeID, y, scaleX=1) {
@@ -613,12 +623,13 @@ function addGenome(label, gene_list, genomeID, y, scaleX=1) {
 
     if(showGeneLabels) {
       var label = new fabric.IText("geneID: "+geneID, {
-        fontSize:geneLabelSize,
-        hasControls:false,
+        id: 'geneLabel',
+        fontSize: geneLabelSize,
+        hasControls: false,
         lockMovementX: true,
         lockMovementY: true,
         lockScaling: true,
-        hoverCursor:'text'
+        hoverCursor: 'text'
       });
 
       if(arrowStyle == 3) {

From 0e3ab40c4000b96157d3aacbfec978a11716e241 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 20 Jun 2021 17:22:26 -0500
Subject: [PATCH 0069/1020] scaleCanvas fixes for new x-axis zoom

---
 anvio/data/interactive/js/genomeview.js | 28 +++++++++++--------------
 1 file changed, 12 insertions(+), 16 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index e8c6ebd0a1..ca6caf164e 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -185,35 +185,32 @@ function loadAll() {
     }
     let mainCanvasWidth = canvas.getWidth()
     let [percentileStart, percentileEnd] = [scaleDragStartingX/totalScaleX, scaleDragEndingX/totalScaleX]
-    let percentileToShow = Math.abs(percentileEnd - percentileStart).toFixed(2)
+    let percentileToShow = Math.abs(percentileEnd - percentileStart).toFixed(3)
+    if(percentileToShow < 300/genomeMax) percentileToShow = 300/genomeMax;
 
-    let moveTo = new fabric.Point(mainCanvasWidth * percentileStart, 0)
-    // process for contextual zooming based on drag event from scale canvas.
-    // 1) zoom all the way out so the main canvas theoretically displays the entire sequence length
-    // 2) pan to new x coordinate, a percentile of total sequence length
-    // 3) set zoom back to original value, centering on new x coordinate
+    let moveTo = new fabric.Point((showLabels?120:0) + genomeMax * percentileStart, 0)
 
     scaleCanvas.remove(scaleCanvas.getObjects()[1]) // this should be changed
     scaleCanvas.add(new fabric.Line([0,200,0,0],{ // 'cursor' for current zoom location
-      strokeWidth : percentileToShow > .1 ? 1200*percentileToShow : 10,
+      strokeWidth : 1200 * percentileToShow,
       stroke : 'green',
       top : 0,
       left : scaleCanvas.width * percentileStart,
       opacity : .6,
       selectable : false
     }))
-    canvas.setZoom(.01)
-    canvas.absolutePan({x: moveTo.x, y: moveTo.y})
-    //canvas.setZoom(percentileToShow > .1 ? 1 - percentileToShow : 1) //TODO ask someone who knows how to math to make this better :)
-    canvas.setZoom(1);
 
-    let ntsToShow = percentileToShow*10000; // 10000 should be changed to genomeMax; but for now we use a smaller value for testing
+    let ntsToShow = percentileToShow*genomeMax;
     scaleFactor = mainCanvasWidth/ntsToShow;
     if(scaleFactor > 4) scaleFactor = 4;
-    if(scale * scaleFactor < 50) scale *= 2; // temporary fix for legibility
+
+    let val = Math.floor(50 / (scale * scaleFactor));
+    scale *= (2**val); // temporary fix for legibility
+
     $('#genome_scale_interval').val(scale);
+
     draw();
-    checkGeneLabels();
+    canvas.absolutePan({x: scaleFactor*moveTo.x, y: moveTo.y});
   })
 
   $('#tooltip-body').hide() // set initual tooltip hide value
@@ -432,6 +429,7 @@ function draw(scaleX=scaleFactor) {
   buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
   drawScale(y, scaleFactor);
   shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"},spacing);
+  checkGeneLabels();
 }
 
 function drawScale(y, scaleX=1) {
@@ -473,7 +471,6 @@ function zoomIn() {
   scaleFactor += (scaleFactor < 0.2 ? .01 : .1);
   if(scaleFactor > 4) scaleFactor = 4;
   draw();
-  checkGeneLabels();
 }
 
 function zoomOut() {
@@ -482,7 +479,6 @@ function zoomOut() {
   if(scale * scaleFactor < 50) scale *= 2; // temporary fix for legibility
   $('#genome_scale_interval').val(scale);
   draw();
-  checkGeneLabels();
 }
 
 function shadeGeneClusters(geneClusters, colors, y) {

From d49abe9af1eed0272fa122526464c4efcff3fe5b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 20 Jun 2021 17:55:16 -0500
Subject: [PATCH 0070/1020] handle bad mouse selection

---
 anvio/data/interactive/js/genomeview.js | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index ca6caf164e..b75f60467b 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -178,14 +178,17 @@ function loadAll() {
 
   scaleCanvas.on('mouse:up', (event) => {
     let scaleDragEndingX = event.pointer.x // click + drag ending x position
-    totalScaleX = event.target.aCoords.tr.x // total x axis length
+    totalScaleX = event.target ? event.target.aCoords.tr.x : scaleCanvas.width // total x axis length
+    if(scaleDragEndingX < 0) scaleDragEndingX = 0;
+    if(scaleDragEndingX > totalScaleX) scaleDragEndingX = totalScaleX;
 
     if(scaleDragStartingX === scaleDragEndingX){ //account for accidental drag, click and release
       return
     }
     let mainCanvasWidth = canvas.getWidth()
-    let [percentileStart, percentileEnd] = [scaleDragStartingX/totalScaleX, scaleDragEndingX/totalScaleX]
-    let percentileToShow = Math.abs(percentileEnd - percentileStart).toFixed(3)
+    let [percentileStart, percentileEnd] = [Math.min(scaleDragStartingX,scaleDragEndingX)/totalScaleX,
+                                            Math.max(scaleDragStartingX,scaleDragEndingX)/totalScaleX]
+    let percentileToShow = (percentileEnd - percentileStart).toFixed(3)
     if(percentileToShow < 300/genomeMax) percentileToShow = 300/genomeMax;
 
     let moveTo = new fabric.Point((showLabels?120:0) + genomeMax * percentileStart, 0)

From 2ef2e8889587837b01e364950c44fdf1debec0b5 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 22 Jun 2021 09:00:54 -0500
Subject: [PATCH 0071/1020] show as many labels as possible

---
 anvio/data/interactive/js/genomeview.js | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index b75f60467b..6a12ae7d46 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -520,7 +520,13 @@ function shadeGeneClusters(geneClusters, colors, y) {
 function checkGeneLabels() {
   var labels = canvas.getObjects().filter(obj => obj.id == 'geneLabel');
   for(var i = 0; i < labels.length-1; i++) {
-    labels[i].visible = labels[i+1].visible = !labels[i].intersectsWithObject(labels[i+1]);
+    var p = i+1;
+    while(labels[i].intersectsWithObject(labels[p]) && p < labels.length-1) {
+      labels[p].visible = false;
+      p++;
+    }
+    labels[p].visible = true;
+    i = p - 1;
   }
 }
 

From 18a43f95b753705b48f768214c4f43097e3efea5 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 22 Jun 2021 14:37:29 -0500
Subject: [PATCH 0072/1020] restrict panning to x-axis

---
 anvio/data/interactive/js/genomeview.js | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 6a12ae7d46..b7433a4b22 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -324,7 +324,6 @@ function loadAll() {
       this.isDragging = true;
       this.selection = false;
       this.lastPosX = evt.clientX;
-      this.lastPosY = evt.clientY;
     }
   });
   canvas.on('mouse:move', function(opt) {
@@ -332,10 +331,8 @@ function loadAll() {
       var e = opt.e;
       var vpt = this.viewportTransform;
       vpt[4] += e.clientX - this.lastPosX;
-      vpt[5] += e.clientY - this.lastPosY;
       this.requestRenderAll();
       this.lastPosX = e.clientX;
-      this.lastPosY = e.clientY;
     }
   });
   canvas.on('mouse:up', function(opt) {

From 0259748618d0889030c1a1f1bc1007de8e36fb2e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 22 Jun 2021 14:53:12 -0500
Subject: [PATCH 0073/1020] zoom only x-axis

---
 anvio/data/interactive/js/genomeview.js | 15 ++++++++-------
 1 file changed, 8 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index b7433a4b22..16f7e96a84 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -343,15 +343,16 @@ function loadAll() {
     this.selection = true;
   });
   canvas.on('mouse:wheel', function(opt) {
-    var delta = opt.e.deltaY;
-    var zoom = canvas.getZoom();
-    zoom *= 0.999 ** delta;
-    if (zoom > 20) zoom = 20;
-    if (zoom < 0.01) zoom = 0.01;
-
-    canvas.zoomToPoint({ x: opt.e.offsetX, y: opt.e.offsetY }, zoom);
     opt.e.preventDefault();
     opt.e.stopPropagation();
+
+    var delta = opt.e.deltaY;
+    scaleFactor *= 0.999 ** delta;
+    if(scale * scaleFactor < 50) scale *= 2; // temporary fix for legibility
+    $('#genome_scale_interval').val(scale);
+    if (scaleFactor > 4) scaleFactor = 4;
+    if (scaleFactor < 0.01) scaleFactor = 0.01;
+    draw();
   });
 
   $('#geneClusterInput').on('keydown', function(e) {

From 01e14243360f9d695bb5ff339c57539946f9010e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 22 Jun 2021 15:16:51 -0500
Subject: [PATCH 0074/1020] deprecated

---
 anvio/data/interactive/js/genomeview.js | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 16f7e96a84..54610d60d0 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -538,12 +538,9 @@ function alignToCluster(gc) {
       var targetGeneID = genomeGCs[0]; /* TODO: implementation for multiple matching gene IDs */
       var targetGene = genome[1].genes.gene_calls[targetGeneID];
       var genePos = targetGene.start + (targetGene.stop - targetGene.start) / 2;
-      var tmp = canvas.getZoom();
-      resetScale();
       var windowCenter = canvas.getWidth()/2 - canvas.viewportTransform[4]; // canvas.getWidth()/2 is clientX of center of screen
       var shift = windowCenter - genePos;
       canvas.viewportTransform[4] += (shift*scaleFactor);
-      canvas.setZoom(tmp);
       break;
     }
 

From 2fde455368a15d2c74c8cc37a9e62c6ffcbc4a2c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 23 Jun 2021 15:52:28 -0500
Subject: [PATCH 0075/1020] fix labels for pentagon arrows

---
 anvio/data/interactive/js/genomeview.js | 13 ++++++++++---
 1 file changed, 10 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 54610d60d0..ebaff93aff 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -428,12 +428,12 @@ function draw(scaleX=scaleFactor) {
     y++;
   }
   buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
-  drawScale(y, scaleFactor);
+  drawScale(y);
   shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"},spacing);
   checkGeneLabels();
 }
 
-function drawScale(y, scaleX=1) {
+function drawScale(y, scaleX=scaleFactor) {
   if(!showScale) return;
 
   for(var w = 0; w < genomeMax; w+=scale) {
@@ -518,6 +518,13 @@ function shadeGeneClusters(geneClusters, colors, y) {
 function checkGeneLabels() {
   var labels = canvas.getObjects().filter(obj => obj.id == 'geneLabel');
   for(var i = 0; i < labels.length-1; i++) {
+    if(arrowStyle == 3) {
+      if(labels[i].width/2 > canvas.getObjects().filter(obj => obj.id == 'arrow')[i].width) {
+        labels[i].visible = false;
+        continue;
+      }
+      labels[i].visible = true;
+    }
     var p = i+1;
     while(labels[i].intersectsWithObject(labels[p]) && p < labels.length-1) {
       labels[p].visible = false;
@@ -600,7 +607,7 @@ function addGenome(label, gene_list, genomeID, y, scaleX=1) {
   }
 
   // line
-  canvas.add(new fabric.Line([0,0,genomeMax*scaleX,0], {left: showLabels?120*scaleX:0,
+  canvas.add(new fabric.Line([0,0,genomeMax*scaleX,0], {left: (showLabels?120:0),
         top: spacing*y + 4,
         stroke: 'black',
         strokeWidth: 2,

From f2431079aca6b4c104831837cccbc073beb34b20 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 28 Jun 2021 19:37:47 +0000
Subject: [PATCH 0076/1020] move genometable call from draw to loadAll method

---
 anvio/data/interactive/js/genomeview.js | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index ebaff93aff..1ea4e1b25b 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -149,6 +149,7 @@ function processState(stateName, stateData){
 }
 
 function loadAll() {
+  buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
   canvas = new fabric.Canvas('myCanvas');
   genomeLabelsCanvas = new fabric.Canvas('genomeLabels');
   scaleCanvas = new fabric.Canvas('scale')
@@ -211,7 +212,6 @@ function loadAll() {
     scale *= (2**val); // temporary fix for legibility
 
     $('#genome_scale_interval').val(scale);
-
     draw();
     canvas.absolutePan({x: scaleFactor*moveTo.x, y: moveTo.y});
   })
@@ -427,7 +427,6 @@ function draw(scaleX=scaleFactor) {
     labelSpacing += 30
     y++;
   }
-  buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
   drawScale(y);
   shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"},spacing);
   checkGeneLabels();
@@ -758,7 +757,6 @@ function resetScale(){
 }
 
 function buildGenomesTable(genomes, order){
-
   var height = '50';
   var margin = '15';
   var template = '<tr>' +

From ca646214a01a7fee468a92869621b0be39f516e6 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 29 Jun 2021 15:06:14 +0000
Subject: [PATCH 0077/1020] class for genome label drag icons

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 1ea4e1b25b..ea31e46855 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -760,7 +760,7 @@ function buildGenomesTable(genomes, order){
   var height = '50';
   var margin = '15';
   var template = '<tr>' +
-                '<td><img src="images/drag.gif" /></td>' +
+                '<td><img src="images/drag.gif" class="drag-icon" /></td>' +
                 '<td> {Parent} </td>' +
                 '<td>n/a</td>' +
                 '<td>n/a</td>' +

From bc411ec5aba92d45349fe8c0c0484694baab8d05 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 29 Jun 2021 15:28:39 +0000
Subject: [PATCH 0078/1020] IDs for sorted labels, cleanup

---
 anvio/data/interactive/js/genomeview.js | 51 +++++++++++++------------
 1 file changed, 26 insertions(+), 25 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index ea31e46855..dfd8aa8c42 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -757,36 +757,37 @@ function resetScale(){
 }
 
 function buildGenomesTable(genomes, order){
-  var height = '50';
-  var margin = '15';
-  var template = '<tr>' +
-                '<td><img src="images/drag.gif" class="drag-icon" /></td>' +
-                '<td> {Parent} </td>' +
-                '<td>n/a</td>' +
-                '<td>n/a</td>' +
-                '<td>n/a</td>' +
-                '<td><input class="input-height" type="text" size="3" id="height{id}" value="{height}"></input></td>' +
-                '<td class="column-margin"><input class="input-margin" type="text" size="3" id="margin{id}" value="{margin}"></input></td>' +
-                '<td>n/a</td>' +
-                '<td>n/a</td>' +
-                '<td><input type="checkbox" class="layer_selectors"></input></td>' +
-                '</tr>';
-
   genomes.map(genome => {
-    let genomeLabel= Object.keys(genome[1]['contigs']['info']); // this is our genome label
-
-    template = template.replace(new RegExp('{Parent}', 'g'), genomeLabel)
-                       .replace(new RegExp('{height}', 'g'), height)
-                       .replace(new RegExp('{margin}', 'g'), margin);
+    var height = '50';
+    var margin = '15';
+    var template = '<tr id={genomeLabel}>' +
+                  '<td><img src="images/drag.gif" class="drag-icon" id={genomeLabel} /></td>' +
+                  '<td> {genomeLabel} </td>' +
+                  '<td>n/a</td>' +
+                  '<td>n/a</td>' +
+                  '<td>n/a</td>' +
+                  '<td><input class="input-height" type="text" size="3" id="height{id}" value="{height}"></input></td>' +
+                  '<td class="column-margin"><input class="input-margin" type="text" size="3" id="margin{id}" value="{margin}"></input></td>' +
+                  '<td>n/a</td>' +
+                  '<td>n/a</td>' +
+                  '<td><input type="checkbox" class="layer_selectors"></input></td>' +
+                  '</tr>';
+    let genomeLabel= Object.keys(genome[1]['contigs']['info']); 
+
+    template = template.replace(new RegExp('{height}', 'g'), height)
+                       .replace(new RegExp('{margin}', 'g'), margin)
+                       .replace(new RegExp('{genomeLabel}', 'g'), genomeLabel);
 
     $('#tbody_genomes').prepend(template);
   })
-  $("#tbody_genomes").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).enableSelection();
 
-  $('#table_genomes .drag-icon').on('mousedown', function() {
-    console.log('sorting');
-    // $('#samples_order').val('custom').trigger('change');
-  });
+  $("#tbody_genomes").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).disableSelection();
+
+  $("#tbody_genomes").on("sortupdate", (event, ui) => {
+    let orderArr = $("#tbody_genomes").sortable('toArray')
+    console.log(orderArr);
+  
+  })
 }
 
 function changeGenomeOrder(event){

From de4649929dfc7528c3baa7d56e019baa24d85ccc Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 29 Jun 2021 15:57:13 +0000
Subject: [PATCH 0079/1020] genome reorder method hooked in

---
 anvio/data/interactive/js/genomeview.js | 21 +++++++++++++--------
 1 file changed, 13 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index dfd8aa8c42..e5f0e0e115 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -778,23 +778,28 @@ function buildGenomesTable(genomes, order){
                        .replace(new RegExp('{margin}', 'g'), margin)
                        .replace(new RegExp('{genomeLabel}', 'g'), genomeLabel);
 
-    $('#tbody_genomes').prepend(template);
+    $('#tbody_genomes').append(template);
   })
 
   $("#tbody_genomes").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).disableSelection();
 
   $("#tbody_genomes").on("sortupdate", (event, ui) => {
-    let orderArr = $("#tbody_genomes").sortable('toArray')
-    console.log(orderArr);
-  
+    changeGenomeOrder($("#tbody_genomes").sortable('toArray'))
   })
 }
 
-function changeGenomeOrder(event){
+function changeGenomeOrder(updatedOrder){
 
-  if(event.target.value === "Alphabetical"){
-    console.log(typeof genomeData.genomes)
-  }
+  let newGenomeOrder = []
+  updatedOrder.map(label => {
+    genomeData.genomes.map(genome => {
+        if(label == Object.keys(genome[1]['contigs']['info'])[0]){ // matching label text to first contig name of each genome
+          newGenomeOrder.push(genome)
+        }    
+    }) 
+  })
+  genomeData.genomes = newGenomeOrder
+  draw()
 }
 
 var fixHelperModified = function(e, tr) { // ripped from utils.js instead of importing the whole file

From f670e97b29d513f89ee746bb3026507bde0685cc Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 29 Jun 2021 19:29:26 +0000
Subject: [PATCH 0080/1020] deprecated

---
 anvio/data/interactive/js/genomeview.js | 23 -----------------------
 1 file changed, 23 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index e5f0e0e115..6242af01fe 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -151,7 +151,6 @@ function processState(stateName, stateData){
 function loadAll() {
   buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
   canvas = new fabric.Canvas('myCanvas');
-  genomeLabelsCanvas = new fabric.Canvas('genomeLabels');
   scaleCanvas = new fabric.Canvas('scale')
   scaleCanvas.add(new fabric.Rect({
     width: 1200,
@@ -240,27 +239,6 @@ function loadAll() {
     $('#tooltip-body').html('').hide()
   })
 
-  genomeLabelsCanvas.on('object:moved', function(options) {
-    options.target.set({
-      left: Math.round(options.target.left / draggableGridUnits) * draggableGridUnits,
-      top: Math.round(options.target.top / draggableGridUnits) * draggableGridUnits
-    });
-    let labelsArr = genomeLabelsCanvas.getObjects()
-    labelsArr.sort((a,b) => (a.top > b.top) ? 1 : -1) // sort genomes based on vertical position after drag event
-
-    let newGenomeOrder = []
-    labelsArr.map(label => {
-      genomeData.genomes.map(genome => {
-         if(label.text == Object.keys(genome[1]['contigs']['info'])[0]){ // matching label text to first contig name of each genome
-           newGenomeOrder.push(genome)
-           return
-         }
-      })
-    })
-    genomeData.genomes = newGenomeOrder
-    draw()
-  });
-
   if(showGeneLabels && arrowStyle != 3) {
     spacing = 60;
     $("#genome_spacing").val(spacing);
@@ -416,7 +394,6 @@ function loadAll() {
 }
 
 function draw(scaleX=scaleFactor) {
-  genomeLabelsCanvas.clear()
   canvas.clear()
   labelSpacing = 30 // reset to default value upon each draw() call
 

From 293800aba6a2d3974bdcf6f5fdd686a6dafab02b Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 29 Jun 2021 19:41:05 +0000
Subject: [PATCH 0081/1020] dynamically render order options from state data

---
 anvio/data/interactive/genomeview.html  |  9 +++++++++
 anvio/data/interactive/js/genomeview.js | 16 +++++++++++++++-
 2 files changed, 24 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index f6903dd34a..ba15127023 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -64,6 +64,15 @@
 
                         <span class="settings-header">Genomes</span>
 
+                        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
+                          <label id="genome_order_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="genome_order" data-original-title="" title="">Genome Order:</label>
+                          <div class="col-md-8">
+                            <select id="genome_order_select" style="margin-bottom: 10px" class="form-control input-xs">
+                              <option value='Alphabetical'>Alphabetical</option>
+                            </select>
+                          </div>
+                        </div>
+
                   <div id="table_layers_container" style="margin-top: 15px;">
                       <table id="table_genomes" class='sortable'>
                           <thead>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 6242af01fe..c6da2a6973 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -53,6 +53,7 @@ var genomeData;
 $(document).ready(function() {
     initData();
     // loadState();
+    processState('default', {}) // lifted here until loadState is hooked in from backend
     loadAll();
 });
 
@@ -134,9 +135,22 @@ function loadState(){
 function processState(stateName, stateData){
   // set genome order options from state
 
+  // mock data 
+  stateData['genome-order-method'] = [{ 
+      'name' : 'cats',
+      'ordering' : 'some order'
+    }, {
+      'name' : 'dogs', 
+      'ordering' : 'some other order'
+    }, {
+      'name' : 'birds', 
+      'ordering' : 'beaks to tails'
+    }
+  ]
+
   if(stateData['genome-order-method']){
     stateData['genome-order-method'].forEach(orderMethod => {
-      $('#genomeOrderSelect').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
+      $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
     })
   }
 

From bac67c65f214ca2e06933b4ab9d9e1bb3f12c31c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 1 Jul 2021 12:41:47 -0500
Subject: [PATCH 0082/1020] inspect page inspired scaleCanvas style

---
 anvio/data/interactive/js/genomeview.js | 40 +++++++++++++------------
 1 file changed, 21 insertions(+), 19 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index c6da2a6973..dcb87ce0c2 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -135,15 +135,15 @@ function loadState(){
 function processState(stateName, stateData){
   // set genome order options from state
 
-  // mock data 
-  stateData['genome-order-method'] = [{ 
+  // mock data
+  stateData['genome-order-method'] = [{
       'name' : 'cats',
       'ordering' : 'some order'
     }, {
-      'name' : 'dogs', 
+      'name' : 'dogs',
       'ordering' : 'some other order'
     }, {
-      'name' : 'birds', 
+      'name' : 'birds',
       'ordering' : 'beaks to tails'
     }
   ]
@@ -169,18 +169,19 @@ function loadAll() {
   scaleCanvas.add(new fabric.Rect({
     width: 1200,
     height : 200,
-    fill : 'gray',
+    fill : "rgba(0,0,0,.1)",
     opacity : .6,
     selectable : false,
-
+    hoverCursor: "crosshair"
   }))
 
-  scaleCanvas.add(new fabric.Line([0,200,0,0],{ // 'cursor' for current zoom location
-    strokeWidth : 10,
-    stroke : 'green',
+  scaleCanvas.add(new fabric.Rect({ // 'cursor' for current zoom location
+    width: 10,
+    height: 200,
+    fill: "rgba(0,0,0,.125)",
+    stroke: 'black',
     top : 0,
     left : 10,
-    opacity : .6,
     selectable : false
   }))
   let scaleDragStartingX;
@@ -208,12 +209,13 @@ function loadAll() {
     let moveTo = new fabric.Point((showLabels?120:0) + genomeMax * percentileStart, 0)
 
     scaleCanvas.remove(scaleCanvas.getObjects()[1]) // this should be changed
-    scaleCanvas.add(new fabric.Line([0,200,0,0],{ // 'cursor' for current zoom location
-      strokeWidth : 1200 * percentileToShow,
-      stroke : 'green',
-      top : 0,
-      left : scaleCanvas.width * percentileStart,
-      opacity : .6,
+    scaleCanvas.add(new fabric.Rect({ // 'cursor' for current zoom location
+      width: 1200 * percentileToShow,
+      height: 200,
+      fill: "rgba(0,0,0,.125)",
+      stroke: 'black',
+      top: 0,
+      left: scaleCanvas.width * percentileStart,
       selectable : false
     }))
 
@@ -763,7 +765,7 @@ function buildGenomesTable(genomes, order){
                   '<td>n/a</td>' +
                   '<td><input type="checkbox" class="layer_selectors"></input></td>' +
                   '</tr>';
-    let genomeLabel= Object.keys(genome[1]['contigs']['info']); 
+    let genomeLabel= Object.keys(genome[1]['contigs']['info']);
 
     template = template.replace(new RegExp('{height}', 'g'), height)
                        .replace(new RegExp('{margin}', 'g'), margin)
@@ -786,8 +788,8 @@ function changeGenomeOrder(updatedOrder){
     genomeData.genomes.map(genome => {
         if(label == Object.keys(genome[1]['contigs']['info'])[0]){ // matching label text to first contig name of each genome
           newGenomeOrder.push(genome)
-        }    
-    }) 
+        }
+    })
   })
   genomeData.genomes = newGenomeOrder
   draw()

From 47e214f978ae35d711de0e99c14e17468992d36e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 2 Jul 2021 14:51:55 -0500
Subject: [PATCH 0083/1020] resizable scaleCanvas brush

---
 anvio/data/interactive/js/genomeview.js | 82 ++++++++++++++++++++++---
 1 file changed, 75 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index dcb87ce0c2..da9e78699d 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -175,23 +175,70 @@ function loadAll() {
     hoverCursor: "crosshair"
   }))
 
-  scaleCanvas.add(new fabric.Rect({ // 'cursor' for current zoom location
+  var brush = new fabric.Rect({ // 'cursor' for current zoom location
+    id: 'cursor_box',
     width: 10,
     height: 200,
     fill: "rgba(0,0,0,.125)",
     stroke: 'black',
+    strokeUniform: true,
+    noScaleCache: false,
     top : 0,
     left : 10,
-    selectable : false
-  }))
+    lockMovementY: true,
+    lockScalingY: true,
+    lockRotation: true,
+    lockScalingFlip: true,
+    hasBorders: false
+  })
+  brush.setControlsVisibility({
+    tl:false, //top-left
+    mt:false, // middle-top
+    tr:false, //top-right
+    bl:false, // bottom-left
+    mb:false, //middle-bottom
+    br:false //bottom-right
+  });
+  scaleCanvas.add(brush)
+  scaleCanvas.setActiveObject(brush);
   let scaleDragStartingX;
-  let totalScaleX
+  let totalScaleX;
+  let dragging = false;
 
   scaleCanvas.on('mouse:down', (event) => {
+    if(event.target && event.target.id == 'cursor_box') {
+      dragging = true;
+      return;
+    }
     scaleDragStartingX = event.pointer.x
   })
 
+  scaleCanvas.on('object:moving', (event) => {
+    var obj = event.target;
+    if(!obj || obj.id != 'cursor_box') return;
+    obj.set({
+      left: clamp(obj.left, 0, scaleCanvas.width - obj.width)
+    });
+  })
+
+  scaleCanvas.on('object:scaling', (event) => {
+    var obj = event.target;
+    if(!obj || obj.id != 'cursor_box') return;
+
+    var sX = obj.scaleX;
+    var sY = obj.scaleY;
+    obj.width *= sX;
+    obj.scaleX = 1;
+  })
+
   scaleCanvas.on('mouse:up', (event) => {
+    if(dragging) {
+      dragging = false;
+      //let start = event.pointer.x - distanceFromStartOfBox;
+      //let end = event.pointer.x - distanceFromStartOfBox + lengthOfBox;
+      // draw new amount here
+      return;
+    }
     let scaleDragEndingX = event.pointer.x // click + drag ending x position
     totalScaleX = event.target ? event.target.aCoords.tr.x : scaleCanvas.width // total x axis length
     if(scaleDragEndingX < 0) scaleDragEndingX = 0;
@@ -209,15 +256,32 @@ function loadAll() {
     let moveTo = new fabric.Point((showLabels?120:0) + genomeMax * percentileStart, 0)
 
     scaleCanvas.remove(scaleCanvas.getObjects()[1]) // this should be changed
-    scaleCanvas.add(new fabric.Rect({ // 'cursor' for current zoom location
+    var brush = new fabric.Rect({ // 'cursor' for current zoom location
+      id: 'cursor_box',
       width: 1200 * percentileToShow,
       height: 200,
       fill: "rgba(0,0,0,.125)",
       stroke: 'black',
+      strokeUniform: true,
+      noScaleCache: false,
       top: 0,
       left: scaleCanvas.width * percentileStart,
-      selectable : false
-    }))
+      lockMovementY: true,
+      lockScalingY: true,
+      lockRotation: true,
+      lockScalingFlip: true,
+      hasBorders: false
+    });
+    brush.setControlsVisibility({
+      tl:false, //top-left
+      mt:false, // middle-top
+      tr:false, //top-right
+      bl:false, // bottom-left
+      mb:false, //middle-bottom
+      br:false //bottom-right
+    });
+    scaleCanvas.add(brush);
+    scaleCanvas.setActiveObject(brush);
 
     let ntsToShow = percentileToShow*genomeMax;
     scaleFactor = mainCanvasWidth/ntsToShow;
@@ -745,6 +809,10 @@ function getKeyByValue(object, value) {
   return Object.keys(object).find(key => object[key] === value);
 }
 
+function clamp(num, min, max) {
+  return Math.min(Math.max(num, min), max);
+}
+
 function resetScale(){
   canvas.setZoom(1)
 }

From f7312a54f22c84f9d1684655416a760be5bb8a4d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 5 Jul 2021 21:21:16 -0500
Subject: [PATCH 0084/1020] d3.brush() does this much better

---
 anvio/data/interactive/css/genomeview.css |  50 +++++-
 anvio/data/interactive/genomeview.html    |  17 +-
 anvio/data/interactive/js/genomeview.js   | 208 ++++++++--------------
 3 files changed, 127 insertions(+), 148 deletions(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index 2d84e57fa6..231d778b0b 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -11,6 +11,54 @@
 #myCanvas {
 }
 
+svg {
+    font-family: 'Lato', Arial, serif;
+    font-size: 10px;
+    font-weight: 700;
+    text-shadow: 0 1px 1px rgba(255,255,255,0.8);
+}
+
+g.context g.brush rect.background {
+    fill: rgba(0,0,0,.1);
+}
+
+g.context g.axis path {
+    stroke-opacity: 0;
+}
+
+g.context g.axis line {
+    stroke-opacity: .5;
+}
+
+.axis path, .axis line {
+    fill: none;
+    stroke: #aaa;
+    shape-rendering: crispEdges;
+}
+
+.brush .extent {
+    stroke: black;
+    fill-opacity: .125;
+    shape-rendering: crispEdges;
+}
+
+g.context rect.background{
+    fill: rgb(200,200,255);
+    visibility: visible !important;
+    pointer-events: all;
+}
+
+.brush .extent {
+    stroke: black;
+    fill-opacity: .125;
+    shape-rendering: crispEdges;
+}
+
+rect.background {
+  fill: rgba(0,0,0,0.1);
+  visibility: visible !important;
+  pointer-events: all;
+}
 
 #tooltip-body{
     height: 300px;
@@ -146,4 +194,4 @@ a{
     border-width: 1;
     padding: 15px;
     margin: 5px;
-}
\ No newline at end of file
+}
diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index ba15127023..fbe02be132 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -8,6 +8,7 @@
         <link rel="stylesheet" type="text/css" href="./css/genomeview.css" />
         <link rel="shortcut icon" href="#">
         <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
+        <script type="text/javascript" src="lib/d3.js/d3.min.js"></script>
         <script type="text/javascript" src="lib/jquery-svgpan/jquery-svgpan.js"></script>
         <script type="text/javascript" src="lib/jquery-ui/ui/core.js"></script>
         <script type="text/javascript" src="lib/jquery-ui/ui/widget.js"></script>
@@ -29,10 +30,13 @@
               <canvas id="myCanvas" width="1200px" height="500px"></canvas>
             </div>
             <div id='scaleContainer'>
-              <nutton id='reset-scale' onclick="resetScale()">reset scale</nutton>
-              <canvas id="scale" width="1200px" height="200px"></canvas>
+              <div id="scaleBox" width="1200px" height="200px">
+                <svg id="scaleSvg" width="1200px" height="200px"></svg>
+              </div>
               <button id="zoom-in" onclick="zoomIn()">+</button>
               <button id="zoom-out" onclick="zoomOut()">-</button>
+              <input type="text" class="form-control input-sm" id="brush_end" style= "width: 60px; float:right" value="0"></input>
+              <input type="text" class="form-control input-sm" id="brush_start" style= "width: 60px; float:right; margin-right:10px" value="0"></input>
             </div>
             <div id='tooltip-body' display='none'></div>
 
@@ -64,15 +68,6 @@
 
                         <span class="settings-header">Genomes</span>
 
-                        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
-                          <label id="genome_order_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="genome_order" data-original-title="" title="">Genome Order:</label>
-                          <div class="col-md-8">
-                            <select id="genome_order_select" style="margin-bottom: 10px" class="form-control input-xs">
-                              <option value='Alphabetical'>Alphabetical</option>
-                            </select>
-                          </div>
-                        </div>
-
                   <div id="table_layers_container" style="margin-top: 15px;">
                       <table id="table_genomes" class='sortable'>
                           <thead>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index da9e78699d..1577498613 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -21,8 +21,8 @@
  var VIEWER_WIDTH = window.innerWidth || document.documentElement.clientWidth || document.getElementsByTagName('body')[0].clientWidth;
 
  var canvas;
- var scaleCanvas;
  var genomeLabelsCanvas;
+ var brush;
  var genomeMax = 0;
 
  // Settings vars
@@ -36,7 +36,7 @@
  var labelSpacing = 30;  // spacing default for genomeLabel canvas
  var draggableGridUnits = 35; // 'snap' to grid for better user feedback
  var showScale = true; // show nt scale?
- var scale = 100; // nt scale intervals
+ var scaleInterval = 100; // nt scale intervals
  var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
 
  var alignToGC = null;
@@ -165,135 +165,78 @@ function processState(stateName, stateData){
 function loadAll() {
   buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
   canvas = new fabric.Canvas('myCanvas');
-  scaleCanvas = new fabric.Canvas('scale')
-  scaleCanvas.add(new fabric.Rect({
-    width: 1200,
-    height : 200,
-    fill : "rgba(0,0,0,.1)",
-    opacity : .6,
-    selectable : false,
-    hoverCursor: "crosshair"
-  }))
-
-  var brush = new fabric.Rect({ // 'cursor' for current zoom location
-    id: 'cursor_box',
-    width: 10,
-    height: 200,
-    fill: "rgba(0,0,0,.125)",
-    stroke: 'black',
-    strokeUniform: true,
-    noScaleCache: false,
-    top : 0,
-    left : 10,
-    lockMovementY: true,
-    lockScalingY: true,
-    lockRotation: true,
-    lockScalingFlip: true,
-    hasBorders: false
-  })
-  brush.setControlsVisibility({
-    tl:false, //top-left
-    mt:false, // middle-top
-    tr:false, //top-right
-    bl:false, // bottom-left
-    mb:false, //middle-bottom
-    br:false //bottom-right
-  });
-  scaleCanvas.add(brush)
-  scaleCanvas.setActiveObject(brush);
-  let scaleDragStartingX;
-  let totalScaleX;
-  let dragging = false;
-
-  scaleCanvas.on('mouse:down', (event) => {
-    if(event.target && event.target.id == 'cursor_box') {
-      dragging = true;
-      return;
-    }
-    scaleDragStartingX = event.pointer.x
-  })
 
-  scaleCanvas.on('object:moving', (event) => {
-    var obj = event.target;
-    if(!obj || obj.id != 'cursor_box') return;
-    obj.set({
-      left: clamp(obj.left, 0, scaleCanvas.width - obj.width)
-    });
-  })
+  // Find max length genome
+  for(genome of genomeData.genomes) {
+    genome = genome[1].genes.gene_calls;
+    let genomeEnd = genome[Object.keys(genome).length-1].stop;
+    if(genomeEnd > genomeMax) genomeMax = genomeEnd;
+  }
 
-  scaleCanvas.on('object:scaling', (event) => {
-    var obj = event.target;
-    if(!obj || obj.id != 'cursor_box') return;
+  var scaleWidth = 1200;
+  var scaleHeight = 200;
 
-    var sX = obj.scaleX;
-    var sY = obj.scaleY;
-    obj.width *= sX;
-    obj.scaleX = 1;
-  })
+  var xScale = d3.scale.linear().range([0, scaleWidth]).domain([0,genomeMax]);
 
-  scaleCanvas.on('mouse:up', (event) => {
-    if(dragging) {
-      dragging = false;
-      //let start = event.pointer.x - distanceFromStartOfBox;
-      //let end = event.pointer.x - distanceFromStartOfBox + lengthOfBox;
-      // draw new amount here
-      return;
-    }
-    let scaleDragEndingX = event.pointer.x // click + drag ending x position
-    totalScaleX = event.target ? event.target.aCoords.tr.x : scaleCanvas.width // total x axis length
-    if(scaleDragEndingX < 0) scaleDragEndingX = 0;
-    if(scaleDragEndingX > totalScaleX) scaleDragEndingX = totalScaleX;
+  var scaleAxis = d3.svg.axis()
+              .scale(xScale)
+              .tickSize(scaleHeight);
 
-    if(scaleDragStartingX === scaleDragEndingX){ //account for accidental drag, click and release
-      return
-    }
-    let mainCanvasWidth = canvas.getWidth()
-    let [percentileStart, percentileEnd] = [Math.min(scaleDragStartingX,scaleDragEndingX)/totalScaleX,
-                                            Math.max(scaleDragStartingX,scaleDragEndingX)/totalScaleX]
-    let percentileToShow = (percentileEnd - percentileStart).toFixed(3)
-    if(percentileToShow < 300/genomeMax) percentileToShow = 300/genomeMax;
-
-    let moveTo = new fabric.Point((showLabels?120:0) + genomeMax * percentileStart, 0)
-
-    scaleCanvas.remove(scaleCanvas.getObjects()[1]) // this should be changed
-    var brush = new fabric.Rect({ // 'cursor' for current zoom location
-      id: 'cursor_box',
-      width: 1200 * percentileToShow,
-      height: 200,
-      fill: "rgba(0,0,0,.125)",
-      stroke: 'black',
-      strokeUniform: true,
-      noScaleCache: false,
-      top: 0,
-      left: scaleCanvas.width * percentileStart,
-      lockMovementY: true,
-      lockScalingY: true,
-      lockRotation: true,
-      lockScalingFlip: true,
-      hasBorders: false
-    });
-    brush.setControlsVisibility({
-      tl:false, //top-left
-      mt:false, // middle-top
-      tr:false, //top-right
-      bl:false, // bottom-left
-      mb:false, //middle-bottom
-      br:false //bottom-right
-    });
-    scaleCanvas.add(brush);
-    scaleCanvas.setActiveObject(brush);
+  var contextArea = d3.svg.area()
+              .interpolate("monotone")
+              .x(function(d) { return xScale(d); })
+              .y0(scaleHeight)
+              .y1(0);
 
-    let ntsToShow = percentileToShow*genomeMax;
-    scaleFactor = mainCanvasWidth/ntsToShow;
-    if(scaleFactor > 4) scaleFactor = 4;
+  brush = d3.svg.brush()
+              .x(xScale)
+              .on("brushend", onBrush);
 
-    let val = Math.floor(50 / (scale * scaleFactor));
-    scale *= (2**val); // temporary fix for legibility
+  var scaleBox = d3.select("#scaleSvg").append("g")
+              .attr("id", "context-chart")
+              .attr("class","context")
+              .attr("y", 230); // rather than 80 from 50?
 
-    $('#genome_scale_interval').val(scale);
-    draw();
-    canvas.absolutePan({x: scaleFactor*moveTo.x, y: moveTo.y});
-  })
+  scaleBox.append("g")
+              .attr("class", "x axis top noselect")
+              .attr("transform", "translate(0,0)")
+              .call(scaleAxis);
+
+  scaleBox.append("g")
+              .attr("class", "x brush")
+              .call(brush)
+              .selectAll("rect")
+              .attr("y", 0)
+              .attr("height", scaleHeight);
+
+  function onBrush(){
+      console.log("onBrush() called!");
+      var b = brush.empty() ? xScale.domain() : brush.extent();
+
+      if (brush.empty()) {
+          $('.btn-selection-sequence').addClass('disabled').prop('disabled', true);
+      } else {
+          $('.btn-selection-sequence').removeClass('disabled').prop('disabled', false);
+      }
+
+      b = [Math.floor(b[0]), Math.floor(b[1])];
+
+      $('#brush_start').val(b[0]);
+      $('#brush_end').val(b[1]);
+
+      let ntsToShow = b[1] - b[0];
+      scaleFactor = canvas.getWidth()/ntsToShow;
+
+      let val = Math.floor(50 / (scaleInterval * scaleFactor));
+      scaleInterval *= (2**val); // temporary fix for legibility
+
+      $('#genome_scale_interval').val(scaleInterval);
+      draw();
+      moveToX = (showLabels?120:0) + b[0];
+      canvas.absolutePan({x: scaleFactor*moveToX, y: 0});
+
+      // TODO: restrict min view to 300 NTs? (or e.g. scaleFactor <= 4)
+  }
 
   $('#tooltip-body').hide() // set initual tooltip hide value
   $('#show_genome_labels_box').attr("checked", showLabels);
@@ -365,13 +308,6 @@ function loadAll() {
     }));
   }
 
-  // Find max length genome
-  for(genome of genomeData.genomes) {
-    genome = genome[1].genes.gene_calls;
-    let genomeEnd = genome[Object.keys(genome).length-1].stop;
-    if(genomeEnd > genomeMax) genomeMax = genomeEnd;
-  }
-
   draw();
 
   // zooming and panning
@@ -406,8 +342,8 @@ function loadAll() {
 
     var delta = opt.e.deltaY;
     scaleFactor *= 0.999 ** delta;
-    if(scale * scaleFactor < 50) scale *= 2; // temporary fix for legibility
-    $('#genome_scale_interval').val(scale);
+    if(scale * scaleFactor < 50) scaleInterval *= 2; // temporary fix for legibility
+    $('#genome_scale_interval').val(scaleInterval);
     if (scaleFactor > 4) scaleFactor = 4;
     if (scaleFactor < 0.01) scaleFactor = 0.01;
     draw();
@@ -492,7 +428,7 @@ function draw(scaleX=scaleFactor) {
 function drawScale(y, scaleX=scaleFactor) {
   if(!showScale) return;
 
-  for(var w = 0; w < genomeMax; w+=scale) {
+  for(var w = 0; w < genomeMax; w+=scaleInterval) {
     canvas.add(new fabric.Line([0,0,0,20], {left: (w+(showLabels?120:0))*scaleX,
           top: y*(spacing)-24,
           stroke: 'black',
@@ -533,8 +469,8 @@ function zoomIn() {
 function zoomOut() {
   scaleFactor -= (scaleFactor < 0.2 ? .01 : .1);
   if(scaleFactor < 0.01) scaleFactor = 0.01;
-  if(scale * scaleFactor < 50) scale *= 2; // temporary fix for legibility
-  $('#genome_scale_interval').val(scale);
+  if(scaleInterval * scaleFactor < 50) scale *= 2; // temporary fix for legibility
+  $('#genome_scale_interval').val(scaleInterval);
   draw();
 }
 
@@ -631,7 +567,7 @@ function setScale(newScale) {
     alert(`Invalid value, scale interval must be >=50.`);
     return;
   }
-  scale = newScale;
+  scaleInterval = newScale;
   draw();
 }
 

From 63910c85527d557c8866514e43c0b8e2a7f4696d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 5 Jul 2021 21:25:31 -0500
Subject: [PATCH 0085/1020] more informative names

---
 anvio/data/interactive/js/genomeview.js | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 1577498613..c90a689220 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -182,7 +182,7 @@ function loadAll() {
               .scale(xScale)
               .tickSize(scaleHeight);
 
-  var contextArea = d3.svg.area()
+  var scaleArea = d3.svg.area()
               .interpolate("monotone")
               .x(function(d) { return xScale(d); })
               .y0(scaleHeight)
@@ -193,8 +193,8 @@ function loadAll() {
               .on("brushend", onBrush);
 
   var scaleBox = d3.select("#scaleSvg").append("g")
-              .attr("id", "context-chart")
-              .attr("class","context")
+              .attr("id", "scaleBox")
+              .attr("class","scale")
               .attr("y", 230); // rather than 80 from 50?
 
   scaleBox.append("g")

From a84c006824ab4b40e45edcf32c9acf3e7b26ef74 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 5 Jul 2021 21:26:02 -0500
Subject: [PATCH 0086/1020] fix

---
 anvio/data/interactive/css/genomeview.css | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index 231d778b0b..d3cf7234f9 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -18,15 +18,15 @@ svg {
     text-shadow: 0 1px 1px rgba(255,255,255,0.8);
 }
 
-g.context g.brush rect.background {
+g.scale g.brush rect.background {
     fill: rgba(0,0,0,.1);
 }
 
-g.context g.axis path {
+g.scale g.axis path {
     stroke-opacity: 0;
 }
 
-g.context g.axis line {
+g.scale g.axis line {
     stroke-opacity: .5;
 }
 
@@ -42,7 +42,7 @@ g.context g.axis line {
     shape-rendering: crispEdges;
 }
 
-g.context rect.background{
+g.scale rect.background{
     fill: rgb(200,200,255);
     visibility: visible !important;
     pointer-events: all;

From 2e5239c6c6d8037f78f752ec20f95a9cac201de5 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 5 Jul 2021 21:39:54 -0500
Subject: [PATCH 0087/1020] responsive scale range boxes

---
 anvio/data/interactive/js/genomeview.js | 23 +++++++++++++++++++++++
 1 file changed, 23 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index c90a689220..24dc3bf5f4 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -209,6 +209,9 @@ function loadAll() {
               .attr("y", 0)
               .attr("height", scaleHeight);
 
+  $('#brush_start').val(0);
+  $('#brush_end').val(scaleWidth);
+
   function onBrush(){
       console.log("onBrush() called!");
       var b = brush.empty() ? xScale.domain() : brush.extent();
@@ -407,6 +410,26 @@ function loadAll() {
     showScale = !showScale;
     draw();
   });
+  $('#brush_start, #brush_end').keydown(function(ev) {
+      if (ev.which == 13) { // enter key
+          let start = parseInt($('#brush_start').val());
+          let end = parseInt($('#brush_end').val());
+
+          if (isNaN(start) || isNaN(end) || start < 0 || start > genomeMax || end < 0 || end > genomeMax) {
+              alert(`Invalid value, value needs to be in range 0-${genomeMax}.`);
+              return;
+          }
+
+          if (start >= end) {
+              alert('Starting value cannot be greater or equal to the ending value.');
+              return;
+          }
+
+          brush.extent([start, end]);
+          brush(d3.select(".brush").transition());
+          brush.event(d3.select(".brush").transition());
+      }
+  });
 }
 
 function draw(scaleX=scaleFactor) {

From f91089f078fc9cb52899b493efe8e8aa66f71734 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 5 Jul 2021 22:05:15 -0500
Subject: [PATCH 0088/1020] fix screen width bug

---
 anvio/data/interactive/genomeview.html  | 6 +++---
 anvio/data/interactive/js/genomeview.js | 7 +++++--
 2 files changed, 8 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index fbe02be132..3ca33e600f 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -27,11 +27,11 @@
     <body>
         <div class="container">
             <div id='labelAndMainContainer'>
-              <canvas id="myCanvas" width="1200px" height="500px"></canvas>
+              <canvas id="myCanvas" height="500px"></canvas>
             </div>
             <div id='scaleContainer'>
-              <div id="scaleBox" width="1200px" height="200px">
-                <svg id="scaleSvg" width="1200px" height="200px"></svg>
+              <div id="scaleBox" height="200px">
+                <svg id="scaleSvg" height="200px"></svg>
               </div>
               <button id="zoom-in" onclick="zoomIn()">+</button>
               <button id="zoom-out" onclick="zoomOut()">-</button>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 24dc3bf5f4..4c6aa6c5a5 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -165,6 +165,7 @@ function processState(stateName, stateData){
 function loadAll() {
   buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
   canvas = new fabric.Canvas('myCanvas');
+  canvas.setWidth(VIEWER_WIDTH * 0.85);
 
   // Find max length genome
   for(genome of genomeData.genomes) {
@@ -173,7 +174,7 @@ function loadAll() {
     if(genomeEnd > genomeMax) genomeMax = genomeEnd;
   }
 
-  var scaleWidth = 1200;
+  var scaleWidth = canvas.getWidth();
   var scaleHeight = 200;
 
   var xScale = d3.scale.linear().range([0, scaleWidth]).domain([0,genomeMax]);
@@ -192,6 +193,8 @@ function loadAll() {
               .x(xScale)
               .on("brushend", onBrush);
 
+  $("#scaleSvg").attr("width", scaleWidth);
+
   var scaleBox = d3.select("#scaleSvg").append("g")
               .attr("id", "scaleBox")
               .attr("class","scale")
@@ -210,7 +213,7 @@ function loadAll() {
               .attr("height", scaleHeight);
 
   $('#brush_start').val(0);
-  $('#brush_end').val(scaleWidth);
+  $('#brush_end').val(Math.floor(scaleWidth));
 
   function onBrush(){
       console.log("onBrush() called!");

From 93978a070e388a2a07a883799909bc8166677d33 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 6 Jul 2021 15:01:45 +0000
Subject: [PATCH 0089/1020] hoisted calculateMaxGenomeLength to its own
 function, mock additional data layers in

---
 anvio/data/interactive/js/genomeview.js | 34 +++++++++++++++++++++----
 1 file changed, 29 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 4c6aa6c5a5..9e95028fb4 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -147,6 +147,26 @@ function processState(stateName, stateData){
       'ordering' : 'beaks to tails'
     }
   ]
+  stateData['additional-data-layers'] = []
+
+  calculateMaxGenomeLength() 
+  
+  for(let i = 0; i < genomeData.genomes.length; i++){
+    let gcContent = []
+    let coverage = []
+    
+    for(let j = 0; j < genomeMax; j++){
+      gcContent.push(Math.floor(Math.random() * 25))
+      coverage.push(Math.floor(Math.random() * 25))
+    }
+    let genomeLabel = Object.keys(genomeData.genomes[i][1]['contigs']['info'])[0];
+    let additionalDataObject = {
+      'genome' : genomeLabel, 
+      'coverage' : coverage, 
+      'gcContent' : gcContent
+    }
+    stateData['additional-data-layers'].push(additionalDataObject)
+  }  
 
   if(stateData['genome-order-method']){
     stateData['genome-order-method'].forEach(orderMethod => {
@@ -168,11 +188,7 @@ function loadAll() {
   canvas.setWidth(VIEWER_WIDTH * 0.85);
 
   // Find max length genome
-  for(genome of genomeData.genomes) {
-    genome = genome[1].genes.gene_calls;
-    let genomeEnd = genome[Object.keys(genome).length-1].stop;
-    if(genomeEnd > genomeMax) genomeMax = genomeEnd;
-  }
+  calculateMaxGenomeLength()
 
   var scaleWidth = canvas.getWidth();
   var scaleHeight = 200;
@@ -825,6 +841,14 @@ function changeGenomeOrder(updatedOrder){
   draw()
 }
 
+function calculateMaxGenomeLength(){
+  for(genome of genomeData.genomes) {
+    genome = genome[1].genes.gene_calls;
+    let genomeEnd = genome[Object.keys(genome).length-1].stop;
+    if(genomeEnd > genomeMax) genomeMax = genomeEnd;
+  }
+}
+
 var fixHelperModified = function(e, tr) { // ripped from utils.js instead of importing the whole file
   var $originals = tr.children();
   var $helper = tr.clone();

From d3e08e93bf6f5abef18c6736e1ef20b96fe46547 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 6 Jul 2021 15:06:58 +0000
Subject: [PATCH 0090/1020] clarifying comment

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 9e95028fb4..2eeee0417f 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -151,7 +151,7 @@ function processState(stateName, stateData){
 
   calculateMaxGenomeLength() 
   
-  for(let i = 0; i < genomeData.genomes.length; i++){
+  for(let i = 0; i < genomeData.genomes.length; i++){ // generate mock additional data layer content 
     let gcContent = []
     let coverage = []
     

From 428c2032906d867f090c26ba0e67d1f49125db40 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 6 Jul 2021 16:28:37 +0000
Subject: [PATCH 0091/1020] calculate max group size

---
 anvio/data/interactive/js/genomeview.js | 17 +++++++++++++----
 1 file changed, 13 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 2eeee0417f..f42f2a2e75 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -27,7 +27,7 @@
 
  // Settings vars
  // TODO migrate below variables to kvp in state
- var state = {};
+ var stateData = {};
  var spacing = 30; // vertical spacing between genomes
  var showLabels = true; // show genome labels?
  var genomeLabelSize = 15; // font size of genome labels
@@ -38,7 +38,7 @@
  var showScale = true; // show nt scale?
  var scaleInterval = 100; // nt scale intervals
  var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
-
+ 
  var alignToGC = null;
 
  var arrowStyle = 1; // gene arrow cosmetics. 1 (default) = 'inspect-page', 2 = thicker arrows, 3 = pentagon
@@ -53,7 +53,7 @@ var genomeData;
 $(document).ready(function() {
     initData();
     // loadState();
-    processState('default', {}) // lifted here until loadState is hooked in from backend
+    processState('default', stateData) // lifted here until loadState is hooked in from backend
     loadAll();
 });
 
@@ -166,7 +166,7 @@ function processState(stateName, stateData){
       'gcContent' : gcContent
     }
     stateData['additional-data-layers'].push(additionalDataObject)
-  }  
+  } 
 
   if(stateData['genome-order-method']){
     stateData['genome-order-method'].forEach(orderMethod => {
@@ -189,6 +189,7 @@ function loadAll() {
 
   // Find max length genome
   calculateMaxGenomeLength()
+  calculateSpacingForGroups()
 
   var scaleWidth = canvas.getWidth();
   var scaleHeight = 200;
@@ -849,6 +850,14 @@ function calculateMaxGenomeLength(){
   }
 }
 
+function calculateSpacingForGroups(){ // to be used for setting vertical spacing 
+  let maxGroupSize = 1; // default, as each group will always have at minimum a 'genome' layer 
+  stateData['additional-data-layers'].map(group => {
+    Object.keys(group).length > maxGroupSize ? maxGroupSize = Object.keys(group).length : null 
+  })
+  return maxGroupSize
+}
+
 var fixHelperModified = function(e, tr) { // ripped from utils.js instead of importing the whole file
   var $originals = tr.children();
   var $helper = tr.clone();

From b2409c0e9d92e3a63aa592ddbb7f40fe42accb88 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 6 Jul 2021 18:00:16 +0000
Subject: [PATCH 0092/1020] calculation for evenly sized layers + groups

---
 anvio/data/interactive/js/genomeview.js | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index f42f2a2e75..832a25792e 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -189,7 +189,7 @@ function loadAll() {
 
   // Find max length genome
   calculateMaxGenomeLength()
-  calculateSpacingForGroups()
+  let calculatedSpacing = calculateSpacingForGroups()
 
   var scaleWidth = canvas.getWidth();
   var scaleHeight = 200;
@@ -855,7 +855,8 @@ function calculateSpacingForGroups(){ // to be used for setting vertical spacing
   stateData['additional-data-layers'].map(group => {
     Object.keys(group).length > maxGroupSize ? maxGroupSize = Object.keys(group).length : null 
   })
-  return maxGroupSize
+  let spacing = 500 / [maxGroupSize * genomeData.genomes.length] // 500 is hardcoded main canvas height
+  return spacing 
 }
 
 var fixHelperModified = function(e, tr) { // ripped from utils.js instead of importing the whole file

From 111e877c4034335e2385270eeb51f7662e2a9c42 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 6 Jul 2021 18:37:40 +0000
Subject: [PATCH 0093/1020] wireframe process to render additional data layers

---
 anvio/data/interactive/js/genomeview.js | 15 ++++++++++++++-
 1 file changed, 14 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 832a25792e..4848fd29f6 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -28,6 +28,7 @@
  // Settings vars
  // TODO migrate below variables to kvp in state
  var stateData = {};
+ var calculatedSpacing; // like spacing, but calculated ;)
  var spacing = 30; // vertical spacing between genomes
  var showLabels = true; // show genome labels?
  var genomeLabelSize = 15; // font size of genome labels
@@ -189,7 +190,7 @@ function loadAll() {
 
   // Find max length genome
   calculateMaxGenomeLength()
-  let calculatedSpacing = calculateSpacingForGroups()
+  calculatedSpacing = calculateSpacingForGroups()
 
   var scaleWidth = canvas.getWidth();
   var scaleHeight = 200;
@@ -460,6 +461,7 @@ function draw(scaleX=scaleFactor) {
   for(genome of genomeData.genomes) {
     let label = genome[1].genes.gene_calls[0].contig;
     addGenome(label, genome[1].genes.gene_calls, genome[0], y, scaleX=scaleX)
+    addLayers(label, genome[1], genome[0])
     labelSpacing += 30
     y++;
   }
@@ -699,6 +701,17 @@ function addGenome(label, gene_list, genomeID, y, scaleX=1) {
   //geneGroup.destroy();
 }
 
+function addLayers(label, genome, genomeID){ // this will work alongside addGenome to render out any additional data layers associated with each group (genome)
+
+  let additionalDataLayers = stateData['additional-data-layers'].find(group =>  group.genome = label)
+  if(additionalDataLayers['coverage']){
+    // process for rendering coverage
+  }
+  if(additionalDataLayers['gcContent']){
+    //process for rendering GC content
+  }
+}
+
 function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {
   var cag = null;
   var color = 'gray';

From 6f8b8454340d4a4169bb99ddab39835679d348d9 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 6 Jul 2021 15:23:30 -0500
Subject: [PATCH 0094/1020] readd nt scale changes

---
 anvio/data/interactive/css/genomeview.css | 12 ----------
 anvio/data/interactive/genomeview.html    |  4 ++--
 anvio/data/interactive/js/genomeview.js   | 29 ++++++++++++-----------
 3 files changed, 17 insertions(+), 28 deletions(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index d3cf7234f9..ec2ad38a26 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -48,18 +48,6 @@ g.scale rect.background{
     pointer-events: all;
 }
 
-.brush .extent {
-    stroke: black;
-    fill-opacity: .125;
-    shape-rendering: crispEdges;
-}
-
-rect.background {
-  fill: rgba(0,0,0,0.1);
-  visibility: visible !important;
-  pointer-events: all;
-}
-
 #tooltip-body{
     height: 300px;
     width: 300px;
diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 3ca33e600f..ecc887e728 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -30,8 +30,8 @@
               <canvas id="myCanvas" height="500px"></canvas>
             </div>
             <div id='scaleContainer'>
-              <div id="scaleBox" height="200px">
-                <svg id="scaleSvg" height="200px"></svg>
+              <div id="scaleBox" height="220px">
+                <svg id="scaleSvg" height="220px"></svg>
               </div>
               <button id="zoom-in" onclick="zoomIn()">+</button>
               <button id="zoom-out" onclick="zoomOut()">-</button>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 4848fd29f6..b461c505da 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -39,7 +39,7 @@
  var showScale = true; // show nt scale?
  var scaleInterval = 100; // nt scale intervals
  var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
- 
+
  var alignToGC = null;
 
  var arrowStyle = 1; // gene arrow cosmetics. 1 (default) = 'inspect-page', 2 = thicker arrows, 3 = pentagon
@@ -150,24 +150,24 @@ function processState(stateName, stateData){
   ]
   stateData['additional-data-layers'] = []
 
-  calculateMaxGenomeLength() 
-  
-  for(let i = 0; i < genomeData.genomes.length; i++){ // generate mock additional data layer content 
+  calculateMaxGenomeLength()
+
+  for(let i = 0; i < genomeData.genomes.length; i++){ // generate mock additional data layer content
     let gcContent = []
     let coverage = []
-    
+
     for(let j = 0; j < genomeMax; j++){
       gcContent.push(Math.floor(Math.random() * 25))
       coverage.push(Math.floor(Math.random() * 25))
     }
     let genomeLabel = Object.keys(genomeData.genomes[i][1]['contigs']['info'])[0];
     let additionalDataObject = {
-      'genome' : genomeLabel, 
-      'coverage' : coverage, 
+      'genome' : genomeLabel,
+      'coverage' : coverage,
       'gcContent' : gcContent
     }
     stateData['additional-data-layers'].push(additionalDataObject)
-  } 
+  }
 
   if(stateData['genome-order-method']){
     stateData['genome-order-method'].forEach(orderMethod => {
@@ -211,12 +211,13 @@ function loadAll() {
               .x(xScale)
               .on("brushend", onBrush);
 
-  $("#scaleSvg").attr("width", scaleWidth);
+  $("#scaleSvg").attr("width", scaleWidth + 10);
 
   var scaleBox = d3.select("#scaleSvg").append("g")
               .attr("id", "scaleBox")
               .attr("class","scale")
-              .attr("y", 230); // rather than 80 from 50?
+              .attr("y", 230) // rather than 80 from 50?
+              .attr("tranform", "translate(5,0)");
 
   scaleBox.append("g")
               .attr("class", "x axis top noselect")
@@ -863,13 +864,13 @@ function calculateMaxGenomeLength(){
   }
 }
 
-function calculateSpacingForGroups(){ // to be used for setting vertical spacing 
-  let maxGroupSize = 1; // default, as each group will always have at minimum a 'genome' layer 
+function calculateSpacingForGroups(){ // to be used for setting vertical spacing
+  let maxGroupSize = 1; // default, as each group will always have at minimum a 'genome' layer
   stateData['additional-data-layers'].map(group => {
-    Object.keys(group).length > maxGroupSize ? maxGroupSize = Object.keys(group).length : null 
+    Object.keys(group).length > maxGroupSize ? maxGroupSize = Object.keys(group).length : null
   })
   let spacing = 500 / [maxGroupSize * genomeData.genomes.length] // 500 is hardcoded main canvas height
-  return spacing 
+  return spacing
 }
 
 var fixHelperModified = function(e, tr) { // ripped from utils.js instead of importing the whole file

From 193d9749627d3d227d01037f904ad099b1d4ee43 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 7 Jul 2021 15:54:31 +0000
Subject: [PATCH 0095/1020] conditional for uniform group sizing

---
 anvio/data/interactive/js/genomeview.js | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index b461c505da..79973fcbf5 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -707,9 +707,13 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
   let additionalDataLayers = stateData['additional-data-layers'].find(group =>  group.genome = label)
   if(additionalDataLayers['coverage']){
     // process for rendering coverage
+  } else {
+    // still need to render out the empty space for even group sizing
   }
   if(additionalDataLayers['gcContent']){
     //process for rendering GC content
+  } else {
+    // still need to render out the empty space for even group sizing
   }
 }
 

From 15a5c5f2ed1f981105faebdebf4ac95bfb2cd3b4 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 7 Jul 2021 17:00:53 +0000
Subject: [PATCH 0096/1020] basic rendering of mock coverage data

---
 anvio/data/interactive/js/genomeview.js | 26 +++++++++++++++++++++----
 1 file changed, 22 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 79973fcbf5..86358cf68c 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -30,6 +30,7 @@
  var stateData = {};
  var calculatedSpacing; // like spacing, but calculated ;)
  var spacing = 30; // vertical spacing between genomes
+ var yOffset = 0 // vertical space between additional data layers
  var showLabels = true; // show genome labels?
  var genomeLabelSize = 15; // font size of genome labels
  var showGeneLabels = true; // show gene labels?
@@ -157,8 +158,8 @@ function processState(stateName, stateData){
     let coverage = []
 
     for(let j = 0; j < genomeMax; j++){
-      gcContent.push(Math.floor(Math.random() * 25))
-      coverage.push(Math.floor(Math.random() * 25))
+      gcContent.push(Math.floor(Math.random() * 45))
+      coverage.push(Math.floor(Math.random() * 45))
     }
     let genomeLabel = Object.keys(genomeData.genomes[i][1]['contigs']['info'])[0];
     let additionalDataObject = {
@@ -457,7 +458,7 @@ function loadAll() {
 function draw(scaleX=scaleFactor) {
   canvas.clear()
   labelSpacing = 30 // reset to default value upon each draw() call
-
+  yOffset = 0 // reset 
   var y = 1;
   for(genome of genomeData.genomes) {
     let label = genome[1].genes.gene_calls[0].contig;
@@ -705,8 +706,23 @@ function addGenome(label, gene_list, genomeID, y, scaleX=1) {
 function addLayers(label, genome, genomeID){ // this will work alongside addGenome to render out any additional data layers associated with each group (genome)
 
   let additionalDataLayers = stateData['additional-data-layers'].find(group =>  group.genome = label)
+
   if(additionalDataLayers['coverage']){
-    // process for rendering coverage
+    let maxCoverageValue = 0
+    for(let i = 0; i < additionalDataLayers['coverage'].length; i++){ // TODO this seems like an inefficient way to find the max range for coverage
+      additionalDataLayers['coverage'][i] > maxCoverageValue ? maxCoverageValue = additionalDataLayers['coverage'][i] : null 
+    }
+    for(let i = 0; i < 10000; i++){ // TODO hardcoded to 10k for now because canvas ~really~ doesn't like rendering out 130k * 3 objects (maybe)
+      canvas.add(new fabric.Rect({
+        height : 8, 
+        width : 1*scaleFactor, 
+        fill : 'blue', 
+        opacity : 1 * [additionalDataLayers['coverage'][i] / maxCoverageValue],
+        selectable : false, 
+        top : 100 + yOffset, 
+        left : 120 + i
+      }) )
+    }
   } else {
     // still need to render out the empty space for even group sizing
   }
@@ -715,6 +731,8 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
   } else {
     // still need to render out the empty space for even group sizing
   }
+  yOffset += 40
+  console.log(`y offset is ${yOffset}`)
 }
 
 function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {

From 196381a2110fa74462f7b22f4c0c9c808057c117 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 7 Jul 2021 17:03:43 +0000
Subject: [PATCH 0097/1020] dont actually need those conditionals, y offset
 increases regardless

---
 anvio/data/interactive/js/genomeview.js | 10 ++--------
 1 file changed, 2 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 86358cf68c..6ca3593489 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -706,7 +706,6 @@ function addGenome(label, gene_list, genomeID, y, scaleX=1) {
 function addLayers(label, genome, genomeID){ // this will work alongside addGenome to render out any additional data layers associated with each group (genome)
 
   let additionalDataLayers = stateData['additional-data-layers'].find(group =>  group.genome = label)
-
   if(additionalDataLayers['coverage']){
     let maxCoverageValue = 0
     for(let i = 0; i < additionalDataLayers['coverage'].length; i++){ // TODO this seems like an inefficient way to find the max range for coverage
@@ -723,16 +722,11 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
         left : 120 + i
       }) )
     }
-  } else {
-    // still need to render out the empty space for even group sizing
-  }
+  } 
   if(additionalDataLayers['gcContent']){
     //process for rendering GC content
-  } else {
-    // still need to render out the empty space for even group sizing
-  }
+  } 
   yOffset += 40
-  console.log(`y offset is ${yOffset}`)
 }
 
 function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {

From a622cbd0af9195015f9a4947541be46c677fc0af Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 7 Jul 2021 18:59:12 +0000
Subject: [PATCH 0098/1020] wireframe for GC content render.

---
 anvio/data/interactive/js/genomeview.js | 23 +++++++++++++++++++----
 1 file changed, 19 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 6ca3593489..c59322d540 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -704,29 +704,44 @@ function addGenome(label, gene_list, genomeID, y, scaleX=1) {
 }
 
 function addLayers(label, genome, genomeID){ // this will work alongside addGenome to render out any additional data layers associated with each group (genome)
-
+  console.log(scaleFactor)
   let additionalDataLayers = stateData['additional-data-layers'].find(group =>  group.genome = label)
   if(additionalDataLayers['coverage']){
     let maxCoverageValue = 0
     for(let i = 0; i < additionalDataLayers['coverage'].length; i++){ // TODO this seems like an inefficient way to find the max range for coverage
       additionalDataLayers['coverage'][i] > maxCoverageValue ? maxCoverageValue = additionalDataLayers['coverage'][i] : null 
     }
-    for(let i = 0; i < 10000; i++){ // TODO hardcoded to 10k for now because canvas ~really~ doesn't like rendering out 130k * 3 objects (maybe)
+    for(let i = 0; i < 1000; i++){ // TODO hardcoded to 1k for now because canvas ~really~ doesn't like rendering out 130k * 3 objects (maybe)
       canvas.add(new fabric.Rect({
         height : 8, 
         width : 1*scaleFactor, 
         fill : 'blue', 
         opacity : 1 * [additionalDataLayers['coverage'][i] / maxCoverageValue],
         selectable : false, 
-        top : 100 + yOffset, 
+        top : 70 + yOffset, 
         left : 120 + i
       }) )
     }
   } 
   if(additionalDataLayers['gcContent']){
+    let maxGCValue = 0
+    for(let i = 0; i < additionalDataLayers['gcContent'].length; i++){ 
+      additionalDataLayers['gcContent'][i] > maxGCValue ? maxGCValue = additionalDataLayers['gcContent'][i] : null 
+    }
+    for(let i = 0; i < 1000; i++){ // 
+      canvas.add(new fabric.Rect({
+        height : 8, 
+        width : 1*scaleFactor, 
+        fill : 'pink', 
+        opacity : 1 * [additionalDataLayers['gcContent'][i] / maxGCValue],
+        selectable : false, 
+        top : 80 + yOffset + 12, 
+        left : 120 + i
+      }) )
+    }
     //process for rendering GC content
   } 
-  yOffset += 40
+  yOffset += 60
 }
 
 function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {

From 6397e4709bc37459511ef8f02accae765a686af2 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 7 Jul 2021 19:01:18 +0000
Subject: [PATCH 0099/1020] cleanup, temp arbitrary values now ~more~ arbitrary

---
 anvio/data/interactive/js/genomeview.js | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index c59322d540..6dd1599126 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -704,7 +704,6 @@ function addGenome(label, gene_list, genomeID, y, scaleX=1) {
 }
 
 function addLayers(label, genome, genomeID){ // this will work alongside addGenome to render out any additional data layers associated with each group (genome)
-  console.log(scaleFactor)
   let additionalDataLayers = stateData['additional-data-layers'].find(group =>  group.genome = label)
   if(additionalDataLayers['coverage']){
     let maxCoverageValue = 0
@@ -735,7 +734,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
         fill : 'pink', 
         opacity : 1 * [additionalDataLayers['gcContent'][i] / maxGCValue],
         selectable : false, 
-        top : 80 + yOffset + 12, 
+        top : 70 + yOffset + 12, 
         left : 120 + i
       }) )
     }

From a0b9ee154942c4406360798197dcba22f84bc958 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 7 Jul 2021 19:05:07 +0000
Subject: [PATCH 0100/1020] cleanup

---
 anvio/data/interactive/js/genomeview.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 6dd1599126..5b965160fa 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -738,7 +738,6 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
         left : 120 + i
       }) )
     }
-    //process for rendering GC content
   } 
   yOffset += 60
 }

From cafb100eec78d3a664d6eccedfb32439d14d5c59 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 7 Jul 2021 19:54:59 -0500
Subject: [PATCH 0101/1020] fix typo and deprecated variable

---
 anvio/data/interactive/js/genomeview.js | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 6dd1599126..e2d24f2c2a 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -218,7 +218,7 @@ function loadAll() {
               .attr("id", "scaleBox")
               .attr("class","scale")
               .attr("y", 230) // rather than 80 from 50?
-              .attr("tranform", "translate(5,0)");
+              .attr("transform", "translate(5,0)");
 
   scaleBox.append("g")
               .attr("class", "x axis top noselect")
@@ -368,7 +368,7 @@ function loadAll() {
 
     var delta = opt.e.deltaY;
     scaleFactor *= 0.999 ** delta;
-    if(scale * scaleFactor < 50) scaleInterval *= 2; // temporary fix for legibility
+    if(scaleInterval * scaleFactor < 50) scaleInterval *= 2; // temporary fix for legibility
     $('#genome_scale_interval').val(scaleInterval);
     if (scaleFactor > 4) scaleFactor = 4;
     if (scaleFactor < 0.01) scaleFactor = 0.01;
@@ -516,7 +516,7 @@ function zoomIn() {
 function zoomOut() {
   scaleFactor -= (scaleFactor < 0.2 ? .01 : .1);
   if(scaleFactor < 0.01) scaleFactor = 0.01;
-  if(scaleInterval * scaleFactor < 50) scale *= 2; // temporary fix for legibility
+  if(scaleInterval * scaleFactor < 50) scaleInterval *= 2; // temporary fix for legibility
   $('#genome_scale_interval').val(scaleInterval);
   draw();
 }

From 30a9a040acff63e6325553e206669db0d49bf428 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 7 Jul 2021 21:25:48 -0500
Subject: [PATCH 0102/1020] dynamically adjust scale interval to zoom

---
 anvio/data/interactive/js/genomeview.js | 25 ++++++++++++++++---------
 1 file changed, 16 insertions(+), 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index e2d24f2c2a..e39964109f 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -39,6 +39,7 @@
  var draggableGridUnits = 35; // 'snap' to grid for better user feedback
  var showScale = true; // show nt scale?
  var scaleInterval = 100; // nt scale intervals
+ var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
  var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
 
  var alignToGC = null;
@@ -236,7 +237,6 @@ function loadAll() {
   $('#brush_end').val(Math.floor(scaleWidth));
 
   function onBrush(){
-      console.log("onBrush() called!");
       var b = brush.empty() ? xScale.domain() : brush.extent();
 
       if (brush.empty()) {
@@ -253,12 +253,10 @@ function loadAll() {
       let ntsToShow = b[1] - b[0];
       scaleFactor = canvas.getWidth()/ntsToShow;
 
-      let val = Math.floor(50 / (scaleInterval * scaleFactor));
-      scaleInterval *= (2**val); // temporary fix for legibility
+      if(dynamicScaleInterval) adjustScaleInterval();
 
-      $('#genome_scale_interval').val(scaleInterval);
       draw();
-      moveToX = (showLabels?120:0) + b[0];
+      let moveToX = (showLabels?120:0) + b[0];
       canvas.absolutePan({x: scaleFactor*moveToX, y: 0});
 
       // TODO: restrict min view to 300 NTs? (or e.g. scaleFactor <= 4)
@@ -368,10 +366,9 @@ function loadAll() {
 
     var delta = opt.e.deltaY;
     scaleFactor *= 0.999 ** delta;
-    if(scaleInterval * scaleFactor < 50) scaleInterval *= 2; // temporary fix for legibility
-    $('#genome_scale_interval').val(scaleInterval);
     if (scaleFactor > 4) scaleFactor = 4;
     if (scaleFactor < 0.01) scaleFactor = 0.01;
+    if(dynamicScaleInterval) adjustScaleInterval();
     draw();
   });
 
@@ -510,14 +507,16 @@ function drawScale(y, scaleX=scaleFactor) {
 function zoomIn() {
   scaleFactor += (scaleFactor < 0.2 ? .01 : .1);
   if(scaleFactor > 4) scaleFactor = 4;
+  if(dynamicScaleInterval) adjustScaleInterval();
+
   draw();
 }
 
 function zoomOut() {
   scaleFactor -= (scaleFactor < 0.2 ? .01 : .1);
   if(scaleFactor < 0.01) scaleFactor = 0.01;
-  if(scaleInterval * scaleFactor < 50) scaleInterval *= 2; // temporary fix for legibility
-  $('#genome_scale_interval').val(scaleInterval);
+  if(dynamicScaleInterval) adjustScaleInterval();
+
   draw();
 }
 
@@ -903,6 +902,14 @@ function calculateSpacingForGroups(){ // to be used for setting vertical spacing
   return spacing
 }
 
+function adjustScaleInterval() { // dynamically set scale interval based on scaleFactor
+  let val = Math.floor(100/scaleFactor);
+  let roundToDigits = Math.floor(Math.log10(val)) - 1;
+  let newInterval = Math.floor(val/(10**roundToDigits)) * (10**roundToDigits);
+  scaleInterval = newInterval;
+  $('#genome_scale_interval').val(scaleInterval);
+}
+
 var fixHelperModified = function(e, tr) { // ripped from utils.js instead of importing the whole file
   var $originals = tr.children();
   var $helper = tr.clone();

From d0fb69151c3413bf2ae0425c559afff9772beeff Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 7 Jul 2021 21:33:21 -0500
Subject: [PATCH 0103/1020] add dynamic scale option to settings panel

---
 anvio/data/interactive/genomeview.html  | 4 ++++
 anvio/data/interactive/js/genomeview.js | 4 ++++
 2 files changed, 8 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index ecc887e728..a1225060f5 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -134,6 +134,10 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                               <td>Show scale</td>
                               <td style="float: right"><div style="width: 20px;"><input id="show_scale_box" type="checkbox" class="layer_selectors"></div></td>
                             </tr>
+                            <tr id="dynamic_scale">
+                              <td>Dynamic scale interval</td>
+                              <td style="float: right"><div style="width: 20px;"><input id="show_dynamic_scale_box" type="checkbox" class="layer_selectors"></div></td>
+                            </tr>
                             <tr id="scale_interval">
                               <td>Genome scale interval: </td>
                               <td><input id="genome_scale_interval" class="form-control input-sm" type="text" value="100" size="4"></td>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index e39964109f..fb81cc46df 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -266,6 +266,7 @@ function loadAll() {
   $('#show_genome_labels_box').attr("checked", showLabels);
   $('#show_gene_labels_box').attr("checked", showGeneLabels);
   $('#show_scale_box').attr("checked", showScale);
+  $('#show_dynamic_scale_box').attr("checked", dynamicScaleInterval);
 
   // can either set it on the canvas to check for all arrows, or when arrow is created.
   canvas.on('mouse:down', function(options) {
@@ -430,6 +431,9 @@ function loadAll() {
     showScale = !showScale;
     draw();
   });
+  $('#show_dynamic_scale_box').on('change', function() {
+    dynamicScaleInterval = !dynamicScaleInterval;
+  });
   $('#brush_start, #brush_end').keydown(function(ev) {
       if (ev.which == 13) { // enter key
           let start = parseInt($('#brush_start').val());

From af4a2359b08872b9afda50e9ca48dbb7b1e09dd0 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 8 Jul 2021 15:39:54 +0000
Subject: [PATCH 0104/1020] process to dynamically set main canvas height

---
 anvio/data/interactive/js/genomeview.js | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 47bb8f1236..44849803b8 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -28,7 +28,7 @@
  // Settings vars
  // TODO migrate below variables to kvp in state
  var stateData = {};
- var calculatedSpacing; // like spacing, but calculated ;)
+ var mainCanvasHeight; 
  var spacing = 30; // vertical spacing between genomes
  var yOffset = 0 // vertical space between additional data layers
  var showLabels = true; // show genome labels?
@@ -192,7 +192,7 @@ function loadAll() {
 
   // Find max length genome
   calculateMaxGenomeLength()
-  calculatedSpacing = calculateSpacingForGroups()
+  // canvas.setHeight(calculateMainCanvasHeight()) set canvas height dynamically
 
   var scaleWidth = canvas.getWidth();
   var scaleHeight = 200;
@@ -896,13 +896,14 @@ function calculateMaxGenomeLength(){
   }
 }
 
-function calculateSpacingForGroups(){ // to be used for setting vertical spacing
+function calculateMainCanvasHeight(){ // to be used for setting vertical spacing
+  let optimalGroupHeight = 150 // arbitrary value to be set by us experts ;) 
   let maxGroupSize = 1; // default, as each group will always have at minimum a 'genome' layer
   stateData['additional-data-layers'].map(group => {
     Object.keys(group).length > maxGroupSize ? maxGroupSize = Object.keys(group).length : null
   })
-  let spacing = 500 / [maxGroupSize * genomeData.genomes.length] // 500 is hardcoded main canvas height
-  return spacing
+  let mainCanvasHeight = optimalGroupHeight * maxGroupSize * genomeData.genomes.length
+  return mainCanvasHeight
 }
 
 function adjustScaleInterval() { // dynamically set scale interval based on scaleFactor

From e7c5611aee2a5d106e3be9a4548579ff38d3d0d1 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 9 Jul 2021 16:13:10 +0000
Subject: [PATCH 0105/1020] deprecated

---
 anvio/data/interactive/js/genomeview.js | 10 +---------
 1 file changed, 1 insertion(+), 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 44849803b8..8a62526f7e 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -714,15 +714,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       additionalDataLayers['coverage'][i] > maxCoverageValue ? maxCoverageValue = additionalDataLayers['coverage'][i] : null 
     }
     for(let i = 0; i < 1000; i++){ // TODO hardcoded to 1k for now because canvas ~really~ doesn't like rendering out 130k * 3 objects (maybe)
-      canvas.add(new fabric.Rect({
-        height : 8, 
-        width : 1*scaleFactor, 
-        fill : 'blue', 
-        opacity : 1 * [additionalDataLayers['coverage'][i] / maxCoverageValue],
-        selectable : false, 
-        top : 70 + yOffset, 
-        left : 120 + i
-      }) )
+     
     }
   } 
   if(additionalDataLayers['gcContent']){

From 0da09e8496b021ef7171313eeed5846e71ab7f9d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 9 Jul 2021 16:13:35 +0000
Subject: [PATCH 0106/1020] also deprecated

---
 anvio/data/interactive/js/genomeview.js | 10 +---------
 1 file changed, 1 insertion(+), 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 8a62526f7e..9434b97303 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -723,15 +723,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       additionalDataLayers['gcContent'][i] > maxGCValue ? maxGCValue = additionalDataLayers['gcContent'][i] : null 
     }
     for(let i = 0; i < 1000; i++){ // 
-      canvas.add(new fabric.Rect({
-        height : 8, 
-        width : 1*scaleFactor, 
-        fill : 'pink', 
-        opacity : 1 * [additionalDataLayers['gcContent'][i] / maxGCValue],
-        selectable : false, 
-        top : 70 + yOffset + 12, 
-        left : 120 + i
-      }) )
+      
     }
   } 
   yOffset += 60

From ef3b0d5a549384cdcb5cacadd46b09d60eafb714 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 9 Jul 2021 16:51:55 +0000
Subject: [PATCH 0107/1020] stuff is getting drawn!

---
 anvio/data/interactive/js/genomeview.js | 27 ++++++++++++++++++++++---
 1 file changed, 24 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 9434b97303..10f9d1f1b9 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -710,12 +710,33 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
   let additionalDataLayers = stateData['additional-data-layers'].find(group =>  group.genome = label)
   if(additionalDataLayers['coverage']){
     let maxCoverageValue = 0
+    let startingTop = 80 + yOffset
+    let startingLeft = 120
+    let layerHeight = 20
+    let pathDirective = [`M 0 0`]
+
     for(let i = 0; i < additionalDataLayers['coverage'].length; i++){ // TODO this seems like an inefficient way to find the max range for coverage
       additionalDataLayers['coverage'][i] > maxCoverageValue ? maxCoverageValue = additionalDataLayers['coverage'][i] : null 
     }
-    for(let i = 0; i < 1000; i++){ // TODO hardcoded to 1k for now because canvas ~really~ doesn't like rendering out 130k * 3 objects (maybe)
-     
+    // calculate max coverage value (we'll assume min value to be 0)
+    // line segments increment along the X axis 1 * scaleFactor
+    // line segments move along the y axis as a percentile of max coverage value * total vertical height allocated for the line graph
+    // generate a line segment string for each nucleotide position in sequence
+    // concat all segments into single path object directive
+    for(let i = 0; i < 10000; i++){
+      let left = i * scaleFactor
+      let top = [additionalDataLayers['gcContent'][i] / maxCoverageValue] * layerHeight
+      let segment = `L ${left} ${top}`
+      pathDirective.push(segment)
     }
+    let graphObj = new fabric.Path(pathDirective.join(' '))
+    graphObj.set({
+      top : startingTop,
+      left : startingLeft,
+      stroke : 'pink',
+      fill : 'pink'
+    })
+    canvas.add(graphObj)
   } 
   if(additionalDataLayers['gcContent']){
     let maxGCValue = 0
@@ -723,7 +744,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       additionalDataLayers['gcContent'][i] > maxGCValue ? maxGCValue = additionalDataLayers['gcContent'][i] : null 
     }
     for(let i = 0; i < 1000; i++){ // 
-      
+     
     }
   } 
   yOffset += 60

From e643bcbee911d20faad8b80cc5145d4d7a0bca4a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 9 Jul 2021 16:56:23 +0000
Subject: [PATCH 0108/1020] cosmetics for line graph obj

---
 anvio/data/interactive/js/genomeview.js | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 10f9d1f1b9..9696329946 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -734,7 +734,10 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       top : startingTop,
       left : startingLeft,
       stroke : 'pink',
-      fill : 'pink'
+      fill : '', 
+      selectable : false, 
+      id : 'coverage graph', 
+      genome : additionalDataLayers['genome']
     })
     canvas.add(graphObj)
   } 

From 388daa5f244e881c625c4a45adf271f3e1220a9e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 9 Jul 2021 20:32:59 +0000
Subject: [PATCH 0109/1020] allow for coverage graph color from state

---
 anvio/data/interactive/js/genomeview.js | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 9696329946..f7c2eac153 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -166,7 +166,9 @@ function processState(stateName, stateData){
     let additionalDataObject = {
       'genome' : genomeLabel,
       'coverage' : coverage,
-      'gcContent' : gcContent
+      'coverage-color' : 'pink',
+      'gcContent' : gcContent,
+      'gcContent-color' : 'purple'
     }
     stateData['additional-data-layers'].push(additionalDataObject)
   }
@@ -708,6 +710,7 @@ function addGenome(label, gene_list, genomeID, y, scaleX=1) {
 
 function addLayers(label, genome, genomeID){ // this will work alongside addGenome to render out any additional data layers associated with each group (genome)
   let additionalDataLayers = stateData['additional-data-layers'].find(group =>  group.genome = label)
+  console.log(additionalDataLayers)
   if(additionalDataLayers['coverage']){
     let maxCoverageValue = 0
     let startingTop = 80 + yOffset
@@ -733,7 +736,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     graphObj.set({
       top : startingTop,
       left : startingLeft,
-      stroke : 'pink',
+      stroke : additionalDataLayers['coverage-color'] ? additionalDataLayers['coverage-color'] : 'black',
       fill : '', 
       selectable : false, 
       id : 'coverage graph', 

From 93bf86572c395d4ff5e267833c1883439e872702 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 9 Jul 2021 20:47:07 +0000
Subject: [PATCH 0110/1020] visualize GC content, cosmetics

---
 anvio/data/interactive/js/genomeview.js | 38 ++++++++++++++++---------
 1 file changed, 25 insertions(+), 13 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index f7c2eac153..2ef1b877e1 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -480,7 +480,7 @@ function drawScale(y, scaleX=scaleFactor) {
 
   for(var w = 0; w < genomeMax; w+=scaleInterval) {
     canvas.add(new fabric.Line([0,0,0,20], {left: (w+(showLabels?120:0))*scaleX,
-          top: y*(spacing)-24,
+          top: y*(spacing),
           stroke: 'black',
           strokeWidth: 1,
           fontSize: 10,
@@ -488,7 +488,7 @@ function drawScale(y, scaleX=scaleFactor) {
           selectable: false}));
 
     canvas.add(new fabric.Text(w/1000 + " kB", {left: (w+5+(showLabels?120:0))*scaleX,
-          top: y*(spacing)-24,
+          top: y*(spacing),
           stroke: 'black',
           strokeWidth: .25,
           fontSize: 15,
@@ -710,25 +710,19 @@ function addGenome(label, gene_list, genomeID, y, scaleX=1) {
 
 function addLayers(label, genome, genomeID){ // this will work alongside addGenome to render out any additional data layers associated with each group (genome)
   let additionalDataLayers = stateData['additional-data-layers'].find(group =>  group.genome = label)
-  console.log(additionalDataLayers)
   if(additionalDataLayers['coverage']){
     let maxCoverageValue = 0
-    let startingTop = 80 + yOffset
+    let startingTop = 70 + yOffset
     let startingLeft = 120
     let layerHeight = 20
     let pathDirective = [`M 0 0`]
 
-    for(let i = 0; i < additionalDataLayers['coverage'].length; i++){ // TODO this seems like an inefficient way to find the max range for coverage
+    for(let i = 0; i < additionalDataLayers['coverage'].length; i++){
       additionalDataLayers['coverage'][i] > maxCoverageValue ? maxCoverageValue = additionalDataLayers['coverage'][i] : null 
     }
-    // calculate max coverage value (we'll assume min value to be 0)
-    // line segments increment along the X axis 1 * scaleFactor
-    // line segments move along the y axis as a percentile of max coverage value * total vertical height allocated for the line graph
-    // generate a line segment string for each nucleotide position in sequence
-    // concat all segments into single path object directive
-    for(let i = 0; i < 10000; i++){
+    for(let i = 0; i < 1000; i++){
       let left = i * scaleFactor
-      let top = [additionalDataLayers['gcContent'][i] / maxCoverageValue] * layerHeight
+      let top = [additionalDataLayers['coverage'][i] / maxCoverageValue] * layerHeight
       let segment = `L ${left} ${top}`
       pathDirective.push(segment)
     }
@@ -746,12 +740,30 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
   } 
   if(additionalDataLayers['gcContent']){
     let maxGCValue = 0
+    let startingTop = 90 + yOffset
+    let startingLeft = 120
+    let layerHeight = 20
+    let pathDirective = [`M 0 0`]
     for(let i = 0; i < additionalDataLayers['gcContent'].length; i++){ 
       additionalDataLayers['gcContent'][i] > maxGCValue ? maxGCValue = additionalDataLayers['gcContent'][i] : null 
     }
     for(let i = 0; i < 1000; i++){ // 
-     
+      let left = i * scaleFactor
+      let top = [additionalDataLayers['gcContent'][i] / maxGCValue] * layerHeight
+      let segment = `L ${left} ${top}`
+      pathDirective.push(segment)
     }
+    let graphObj = new fabric.Path(pathDirective.join(' '))
+    graphObj.set({
+      top : startingTop,
+      left : startingLeft,
+      stroke : additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
+      fill : '', 
+      selectable : false, 
+      id : 'gcContent graph', 
+      genome : additionalDataLayers['genome']
+    })
+    canvas.add(graphObj)
   } 
   yOffset += 60
 }

From 8dc542bedda545621548619092a2b628507f0dca Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 9 Jul 2021 21:02:53 +0000
Subject: [PATCH 0111/1020] mock data now even mockier

---
 anvio/data/interactive/js/genomeview.js | 16 ++++++++++++++--
 1 file changed, 14 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 2ef1b877e1..504940e128 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -172,7 +172,7 @@ function processState(stateName, stateData){
     }
     stateData['additional-data-layers'].push(additionalDataObject)
   }
-
+  
   if(stateData['genome-order-method']){
     stateData['genome-order-method'].forEach(orderMethod => {
       $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
@@ -709,7 +709,13 @@ function addGenome(label, gene_list, genomeID, y, scaleX=1) {
 }
 
 function addLayers(label, genome, genomeID){ // this will work alongside addGenome to render out any additional data layers associated with each group (genome)
-  let additionalDataLayers = stateData['additional-data-layers'].find(group =>  group.genome = label)
+  let additionalDataLayers;
+  stateData['additional-data-layers'].map(group => {
+    if(group.genome == label){
+      additionalDataLayers = group
+    }
+  })
+
   if(additionalDataLayers['coverage']){
     let maxCoverageValue = 0
     let startingTop = 70 + yOffset
@@ -720,12 +726,14 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     for(let i = 0; i < additionalDataLayers['coverage'].length; i++){
       additionalDataLayers['coverage'][i] > maxCoverageValue ? maxCoverageValue = additionalDataLayers['coverage'][i] : null 
     }
+
     for(let i = 0; i < 1000; i++){
       let left = i * scaleFactor
       let top = [additionalDataLayers['coverage'][i] / maxCoverageValue] * layerHeight
       let segment = `L ${left} ${top}`
       pathDirective.push(segment)
     }
+
     let graphObj = new fabric.Path(pathDirective.join(' '))
     graphObj.set({
       top : startingTop,
@@ -738,21 +746,25 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     })
     canvas.add(graphObj)
   } 
+
   if(additionalDataLayers['gcContent']){
     let maxGCValue = 0
     let startingTop = 90 + yOffset
     let startingLeft = 120
     let layerHeight = 20
     let pathDirective = [`M 0 0`]
+
     for(let i = 0; i < additionalDataLayers['gcContent'].length; i++){ 
       additionalDataLayers['gcContent'][i] > maxGCValue ? maxGCValue = additionalDataLayers['gcContent'][i] : null 
     }
+
     for(let i = 0; i < 1000; i++){ // 
       let left = i * scaleFactor
       let top = [additionalDataLayers['gcContent'][i] / maxGCValue] * layerHeight
       let segment = `L ${left} ${top}`
       pathDirective.push(segment)
     }
+    
     let graphObj = new fabric.Path(pathDirective.join(' '))
     graphObj.set({
       top : startingTop,

From c58fc28eecdad335fc0f27be0662bb8b0e7c0ba0 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 11 Jul 2021 22:12:25 -0500
Subject: [PATCH 0112/1020] restrict x-pan to view area

---
 anvio/data/interactive/js/genomeview.js | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 504940e128..bc24b1506c 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -337,8 +337,7 @@ function loadAll() {
 
   draw();
 
-  // zooming and panning
-  // http://fabricjs.com/fabric-intro-part-5#pan_zoom
+  // panning
   canvas.on('mouse:down', function(opt) {
     var evt = opt.e;
     if (evt.shiftKey === true) {
@@ -352,13 +351,14 @@ function loadAll() {
       var e = opt.e;
       var vpt = this.viewportTransform;
       vpt[4] += e.clientX - this.lastPosX;
+      if(vpt[4] > 125) vpt[4] = 125;
+      if(vpt[4] < canvas.getWidth() - genomeMax*scaleFactor - 250)
+      vpt[4] = canvas.getWidth() - genomeMax*scaleFactor - 250;
       this.requestRenderAll();
       this.lastPosX = e.clientX;
     }
   });
   canvas.on('mouse:up', function(opt) {
-    // on mouse up we want to recalculate new interaction
-    // for all objects, so we call setViewportTransform
     this.setViewportTransform(this.viewportTransform);
     this.isDragging = false;
     this.selection = true;

From 14e254937f42e3b541475564a27091bd933ee6e9 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 14 Jul 2021 15:19:33 +0000
Subject: [PATCH 0113/1020] deprecated

---
 anvio/data/interactive/js/genomeview.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index bc24b1506c..22eb6cf2f8 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -36,7 +36,6 @@
  var showGeneLabels = true; // show gene labels?
  var geneLabelSize = 40; // font size of gene labels
  var labelSpacing = 30;  // spacing default for genomeLabel canvas
- var draggableGridUnits = 35; // 'snap' to grid for better user feedback
  var showScale = true; // show nt scale?
  var scaleInterval = 100; // nt scale intervals
  var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level

From 00f60dfb7a4fa92eb9f6299e3758c8b8ae054034 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 14 Jul 2021 15:24:26 +0000
Subject: [PATCH 0114/1020] make scale sleeker, anchor to bottom of window

---
 anvio/data/interactive/css/genomeview.css | 2 ++
 anvio/data/interactive/genomeview.html    | 4 ++--
 anvio/data/interactive/js/genomeview.js   | 2 +-
 3 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index ec2ad38a26..99cc87dd39 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -182,4 +182,6 @@ a{
     border-width: 1;
     padding: 15px;
     margin: 5px;
+    position: fixed;
+    bottom : 25px
 }
diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index a1225060f5..2f3be282c1 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -30,8 +30,8 @@
               <canvas id="myCanvas" height="500px"></canvas>
             </div>
             <div id='scaleContainer'>
-              <div id="scaleBox" height="220px">
-                <svg id="scaleSvg" height="220px"></svg>
+              <div id="scaleBox" height="140px">
+                <svg id="scaleSvg" height="120px"></svg>
               </div>
               <button id="zoom-in" onclick="zoomIn()">+</button>
               <button id="zoom-out" onclick="zoomOut()">-</button>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 22eb6cf2f8..a03c32b577 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -196,7 +196,7 @@ function loadAll() {
   // canvas.setHeight(calculateMainCanvasHeight()) set canvas height dynamically
 
   var scaleWidth = canvas.getWidth();
-  var scaleHeight = 200;
+  var scaleHeight = 100;
 
   var xScale = d3.scale.linear().range([0, scaleWidth]).domain([0,genomeMax]);
 

From 3e3180c4f1559682ded0bae4f29abf3d0e1d0781 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 14 Jul 2021 15:37:51 +0000
Subject: [PATCH 0115/1020] more spacing for larger group renders

---
 anvio/data/interactive/js/genomeview.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index a03c32b577..6768bbc4e6 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -190,7 +190,7 @@ function loadAll() {
   buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
   canvas = new fabric.Canvas('myCanvas');
   canvas.setWidth(VIEWER_WIDTH * 0.85);
-
+  
   // Find max length genome
   calculateMaxGenomeLength()
   // canvas.setHeight(calculateMainCanvasHeight()) set canvas height dynamically
@@ -289,7 +289,7 @@ function loadAll() {
   })
 
   if(showGeneLabels && arrowStyle != 3) {
-    spacing = 60;
+    spacing = 150; // TODO maybe we refactor this out into a setSpacing() method for clarity?
     $("#genome_spacing").val(spacing);
   }
 

From f50b74bad5dc90c0bc83e25370380656d30e629e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 14 Jul 2021 16:05:25 +0000
Subject: [PATCH 0116/1020] new spacing values, send cluster shading to back

---
 anvio/data/interactive/genomeview.html  |  2 +-
 anvio/data/interactive/js/genomeview.js | 22 +++++++++++-----------
 2 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 2f3be282c1..7b4e421161 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -27,7 +27,7 @@
     <body>
         <div class="container">
             <div id='labelAndMainContainer'>
-              <canvas id="myCanvas" height="500px"></canvas>
+              <canvas id="myCanvas" height="700px"></canvas>
             </div>
             <div id='scaleContainer'>
               <div id="scaleBox" height="140px">
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 6768bbc4e6..0a53b7957a 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -190,7 +190,7 @@ function loadAll() {
   buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
   canvas = new fabric.Canvas('myCanvas');
   canvas.setWidth(VIEWER_WIDTH * 0.85);
-  
+
   // Find max length genome
   calculateMaxGenomeLength()
   // canvas.setHeight(calculateMainCanvasHeight()) set canvas height dynamically
@@ -552,7 +552,7 @@ function shadeGeneClusters(geneClusters, colors, y) {
       });
       path.left += (showLabels?120:0)*scaleFactor;
       path.sendBackwards();
-      canvas.add(path);
+      canvas.sendToBack(path);
     }
     y += spacing
   }
@@ -717,9 +717,9 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
 
   if(additionalDataLayers['coverage']){
     let maxCoverageValue = 0
-    let startingTop = 70 + yOffset
+    let startingTop = 180 + yOffset
     let startingLeft = 120
-    let layerHeight = 20
+    let layerHeight = 50
     let pathDirective = [`M 0 0`]
 
     for(let i = 0; i < additionalDataLayers['coverage'].length; i++){
@@ -738,19 +738,19 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       top : startingTop,
       left : startingLeft,
       stroke : additionalDataLayers['coverage-color'] ? additionalDataLayers['coverage-color'] : 'black',
-      fill : '', 
+      fill : '', //additionalDataLayers['coverage-color'] ? additionalDataLayers['coverage-color'] : 'black',
       selectable : false, 
       id : 'coverage graph', 
       genome : additionalDataLayers['genome']
     })
-    canvas.add(graphObj)
+    canvas.bringToFront(graphObj)
   } 
 
   if(additionalDataLayers['gcContent']){
     let maxGCValue = 0
-    let startingTop = 90 + yOffset
+    let startingTop = 240 + yOffset
     let startingLeft = 120
-    let layerHeight = 20
+    let layerHeight = 50
     let pathDirective = [`M 0 0`]
 
     for(let i = 0; i < additionalDataLayers['gcContent'].length; i++){ 
@@ -769,14 +769,14 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       top : startingTop,
       left : startingLeft,
       stroke : additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
-      fill : '', 
+      fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
       selectable : false, 
       id : 'gcContent graph', 
       genome : additionalDataLayers['genome']
     })
-    canvas.add(graphObj)
+    canvas.bringToFront(graphObj)
   } 
-  yOffset += 60
+  yOffset += 150
 }
 
 function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {

From cf2254d88caaa2079d1cd0bd7e1bad2c3b778cb2 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 14 Jul 2021 13:45:13 -0500
Subject: [PATCH 0117/1020] rect arrow style

---
 anvio/data/interactive/genomeview.html  |  1 +
 anvio/data/interactive/js/genomeview.js | 14 +++++++++-----
 2 files changed, 10 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 7b4e421161..6bc693ce30 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -154,6 +154,7 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                               <option value=1>Default</option>
                               <option value=2>Wide</option>
                               <option value=3>Pentagon</option>
+                              <option value=4>Rect</option>
                             </select>
                           </div>
                         </div>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 0a53b7957a..1e937b6f82 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -29,7 +29,7 @@
  // TODO migrate below variables to kvp in state
  var stateData = {};
  var mainCanvasHeight; 
- var spacing = 30; // vertical spacing between genomes
+ var spacing = 50; // vertical spacing between genomes
  var yOffset = 0 // vertical space between additional data layers
  var showLabels = true; // show genome labels?
  var genomeLabelSize = 15; // font size of genome labels
@@ -43,7 +43,7 @@
 
  var alignToGC = null;
 
- var arrowStyle = 1; // gene arrow cosmetics. 1 (default) = 'inspect-page', 2 = thicker arrows, 3 = pentagon
+ var arrowStyle = 1; // gene arrow cosmetics. 1 (default) = 'inspect-page', 2 = thicker arrows, 3 = pentagon, 4 = rect
 
  var color_db;
  var cog_annotated = true, kegg_annotated = false;
@@ -808,17 +808,21 @@ function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {
   /* Issue here: each genome might be differentially annotated... how to make sure all have COG annotations for example? */
 
   let length = (gene.stop-gene.start)*scaleX;
+  let stemLength = length-25 > 0 ? length-25 : 0;
 
   var arrowPathStr;
   switch(style) {
     case 2: // thicker arrows
-      arrowPathStr = 'M ' + (length-25) + ' -5 L 0 -5 L 0 15 L ' + (length-25) + ' 15 L ' + (length-25) + ' 15 L ' + (length-25) + ' 20 L ' + length + ' 5 L ' + (length-25) + ' -10 z';
+      arrowPathStr = 'M ' + stemLength + ' -5 L 0 -5 L 0 15 L ' + stemLength + ' 15 L ' + stemLength + ' 15 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
       break;
     case 3: // pentagon arrows
-      arrowPathStr = 'M 0 0 L ' + (length-25) + ' 0 L ' + length + ' 20 L ' + (length-25) + ' 40 L 0 40 L 0 0 z';
+      arrowPathStr = 'M 0 0 L ' + stemLength + ' 0 L ' + length + ' 20 L ' + stemLength + ' 40 L 0 40 L 0 0 z';
+      break;
+    case 4: // rect arrows
+      arrowPathStr = 'M ' + length + ' -5 L 0 -5 L 0 15 L ' + length + ' 15 z';
       break;
     default: // 'inspect page' arrows
-      arrowPathStr = 'M ' + (length-25) + ' 0 L 0 0 L 0 10 L ' + (length-25) + ' 10 L ' + (length-25) + ' 10 L ' + (length-25) + ' 20 L ' + length + ' 5 L ' + (length-25) + ' -10 z';
+      arrowPathStr = 'M ' + stemLength + ' 0 L 0 0 L 0 10 L ' + stemLength + ' 10 L ' + stemLength + ' 10 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
       break;
   }
 

From 53f73bb2345b7d6e576266ec5f98e3d826f05ee0 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 15 Jul 2021 14:57:46 +0000
Subject: [PATCH 0118/1020] dynamically set main canvas height

---
 anvio/data/interactive/js/genomeview.js | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 0a53b7957a..ef29a1eca1 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -193,7 +193,7 @@ function loadAll() {
 
   // Find max length genome
   calculateMaxGenomeLength()
-  // canvas.setHeight(calculateMainCanvasHeight()) set canvas height dynamically
+  canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
 
   var scaleWidth = canvas.getWidth();
   var scaleHeight = 100;
@@ -932,11 +932,12 @@ function calculateMaxGenomeLength(){
 
 function calculateMainCanvasHeight(){ // to be used for setting vertical spacing
   let optimalGroupHeight = 150 // arbitrary value to be set by us experts ;) 
+  let additionalSpacing = 100 // arbitrary additional spacing for ruler(s), cosmetics
   let maxGroupSize = 1; // default, as each group will always have at minimum a 'genome' layer
   stateData['additional-data-layers'].map(group => {
     Object.keys(group).length > maxGroupSize ? maxGroupSize = Object.keys(group).length : null
   })
-  let mainCanvasHeight = optimalGroupHeight * maxGroupSize * genomeData.genomes.length
+  let mainCanvasHeight = optimalGroupHeight * maxGroupSize * genomeData.genomes.length + additionalSpacing
   return mainCanvasHeight
 }
 

From 7cb8663064029dca939735bd638a01fc6c7445b5 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 15 Jul 2021 14:58:13 +0000
Subject: [PATCH 0119/1020] deprecated

---
 anvio/data/interactive/js/genomeview.js | 17 -----------------
 1 file changed, 17 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index ef29a1eca1..94f087033f 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -78,23 +78,6 @@ function initData() {
 }
 
 function loadState(){
-  let mockStateData = {
-    "state-name" : 'default',
-    "zoom" : "1.0",
-    "arrow-style" : "1",
-    "color-genes-by" : "Source",
-    "genome-order-method" : [
-      {
-        "name" : "some value",
-        "order" : ['genome1', 'genome2', 'genome3']
-      },
-      {
-        "name" : "some other value",
-        "order" : ['genome2', 'genome1', 'genome3']
-      }
-    ]
-  };
-
   var defer = $.Deferred();
   $('#modLoadState').modal('hide');
   if ($('#loadState_list').val() == null) {

From 0cceabe66f969c8a0d7dc3274f8b7df5b901771f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 15 Jul 2021 15:00:38 +0000
Subject: [PATCH 0120/1020] loadState cleanup

---
 anvio/data/interactive/js/genomeview.js | 54 ++++++++-----------------
 1 file changed, 17 insertions(+), 37 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 94f087033f..edc3d5705a 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -78,43 +78,23 @@ function initData() {
 }
 
 function loadState(){
-  var defer = $.Deferred();
-  $('#modLoadState').modal('hide');
-  if ($('#loadState_list').val() == null) {
-      defer.reject();
-      return;
-  }
-
-  var state_name = $('#loadState_list').val();
-  waitingDialog.show('Requesting state data from the server ...',
-      {
-          dialogSize: 'sm',
-          onHide: function() {
-              defer.resolve();
-          },
-          onShow: function() {
-              $.ajax({
-                      type: 'GET',
-                      cache: false,
-                      url: '/data/genome_view/state/get/' + state_name,
-                      success: function(response) {
-                          try{
-                              // processState(state_name, response[0]); process actual response from backend
-                              processState(state_name, mockStateData); // process mock state data
-                          }catch(e){
-                              console.error("Exception thrown", e.stack);
-                              toastr.error('Failed to parse state data, ' + e);
-                              defer.reject();
-                              return;
-                          }
-                          waitingDialog.hide();
-                      }
-                  });
-          },
-      }
-  );
-
-  return defer.promise();
+  
+    $.ajax({
+        type: 'GET',
+        cache: false,
+        url: '/data/genome_view/state/get/' + state_name,
+        success: function(response) {
+            try{
+                // processState(state_name, response[0]); process actual response from backend
+                processState(state_name, mockStateData); // process mock state data
+            }catch(e){
+                console.error("Exception thrown", e.stack);
+                toastr.error('Failed to parse state data, ' + e);
+                defer.reject();
+                return;
+            }
+            // waitingDialog.hide();
+        }
 }
 
 function processState(stateName, stateData){

From 08a6f5e7ce2cbfcb1f0c78fd376be7b250525253 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 15 Jul 2021 15:02:32 +0000
Subject: [PATCH 0121/1020] fixed my uh oh

---
 anvio/data/interactive/js/genomeview.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index edc3d5705a..7ca1291f31 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -95,6 +95,7 @@ function loadState(){
             }
             // waitingDialog.hide();
         }
+    })
 }
 
 function processState(stateName, stateData){

From cb6c17566b6b6f954c6278843847c6c81e6a0d3f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 15 Jul 2021 16:33:03 +0000
Subject: [PATCH 0122/1020] canvas height via layers, not groups

---
 anvio/data/interactive/js/genomeview.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index ad1aebdcad..9c43a0d6a8 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -899,13 +899,13 @@ function calculateMaxGenomeLength(){
 }
 
 function calculateMainCanvasHeight(){ // to be used for setting vertical spacing
-  let optimalGroupHeight = 150 // arbitrary value to be set by us experts ;) 
+  let optimalLayerHeight = 50 // arbitrary value to be set by us experts ;) 
   let additionalSpacing = 100 // arbitrary additional spacing for ruler(s), cosmetics
   let maxGroupSize = 1; // default, as each group will always have at minimum a 'genome' layer
   stateData['additional-data-layers'].map(group => {
     Object.keys(group).length > maxGroupSize ? maxGroupSize = Object.keys(group).length : null
   })
-  let mainCanvasHeight = optimalGroupHeight * maxGroupSize * genomeData.genomes.length + additionalSpacing
+  let mainCanvasHeight = optimalLayerHeight * maxGroupSize * genomeData.genomes.length + additionalSpacing
   return mainCanvasHeight
 }
 

From f56dfbc668ec9132c131c2006165f5dc987ccdba Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 16 Jul 2021 19:56:29 -0500
Subject: [PATCH 0123/1020] make scale box location responsive to x-pan

---
 anvio/data/interactive/js/genomeview.js | 40 ++++++++++++++++++-------
 1 file changed, 29 insertions(+), 11 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 9c43a0d6a8..f44966af1b 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -31,6 +31,7 @@
  var mainCanvasHeight; 
  var spacing = 50; // vertical spacing between genomes
  var yOffset = 0 // vertical space between additional data layers
+ var xDisplacement = 0; // x-offset of genome start, activated if genome labels are shown
  var showLabels = true; // show genome labels?
  var genomeLabelSize = 15; // font size of genome labels
  var showGeneLabels = true; // show gene labels?
@@ -155,6 +156,8 @@ function loadAll() {
   canvas = new fabric.Canvas('myCanvas');
   canvas.setWidth(VIEWER_WIDTH * 0.85);
 
+  xDisplacement = showLabels ? 120 : 0;
+
   // Find max length genome
   calculateMaxGenomeLength()
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
@@ -183,7 +186,7 @@ function loadAll() {
   var scaleBox = d3.select("#scaleSvg").append("g")
               .attr("id", "scaleBox")
               .attr("class","scale")
-              .attr("y", 230) // rather than 80 from 50?
+              .attr("y", 230)
               .attr("transform", "translate(5,0)");
 
   scaleBox.append("g")
@@ -221,7 +224,7 @@ function loadAll() {
       if(dynamicScaleInterval) adjustScaleInterval();
 
       draw();
-      let moveToX = (showLabels?120:0) + b[0];
+      let moveToX = xDisplacement + b[0];
       canvas.absolutePan({x: scaleFactor*moveToX, y: 0});
 
       // TODO: restrict min view to 300 NTs? (or e.g. scaleFactor <= 4)
@@ -325,6 +328,22 @@ function loadAll() {
     this.setViewportTransform(this.viewportTransform);
     this.isDragging = false;
     this.selection = true;
+
+    var vpt = this.viewportTransform;
+    let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+    let [newStart, newEnd] = [Math.floor(-1*vpt[4]/scaleFactor+xDisplacement),
+                              Math.floor(-1*(vpt[4]/scaleFactor+xDisplacement)+(end-start))];
+    if(newStart < 0) {
+      newStart = 0;
+      newEnd = end - start;
+    } else if(newEnd > genomeMax) {
+      newEnd = genomeMax;
+      newStart = start + (genomeMax - end);
+    }
+    brush.extent([newStart, newEnd]);
+    brush(d3.select(".brush").transition());
+    $('#brush_start').val(newStart);
+    $('#brush_end').val(newEnd);
   });
   canvas.on('mouse:wheel', function(opt) {
     opt.e.preventDefault();
@@ -385,6 +404,7 @@ function loadAll() {
   });
   $('#show_genome_labels_box').on('change', function() {
     showLabels = !showLabels;
+    xDisplacement = showLabels ? 120 : 0;
     alignToGC = null;
     draw();
   });
@@ -442,7 +462,7 @@ function drawScale(y, scaleX=scaleFactor) {
   if(!showScale) return;
 
   for(var w = 0; w < genomeMax; w+=scaleInterval) {
-    canvas.add(new fabric.Line([0,0,0,20], {left: (w+(showLabels?120:0))*scaleX,
+    canvas.add(new fabric.Line([0,0,0,20], {left: (w*scaleX+xDisplacement),
           top: y*(spacing),
           stroke: 'black',
           strokeWidth: 1,
@@ -450,7 +470,7 @@ function drawScale(y, scaleX=scaleFactor) {
           fontFamily: 'sans-serif',
           selectable: false}));
 
-    canvas.add(new fabric.Text(w/1000 + " kB", {left: (w+5+(showLabels?120:0))*scaleX,
+    canvas.add(new fabric.Text(w/1000 + " kB", {left: (w*scaleX+5+xDisplacement),
           top: y*(spacing),
           stroke: 'black',
           strokeWidth: .25,
@@ -459,12 +479,12 @@ function drawScale(y, scaleX=scaleFactor) {
           selectable: false}));
   }
 
-  canvas.add(new fabric.Line([0,0,100,0], {left: (showLabels?120:0)*scaleX,
+  canvas.add(new fabric.Line([0,0,100,0], {left: xDisplacement,
         top: y*(1.25*spacing)-4,
         stroke: 'black',
         strokeWidth: 2,
         selectable: false}));
-  canvas.add(new fabric.Text("100 nts", {left: (15+(showLabels?120:0))*scaleX,
+  canvas.add(new fabric.Text("100 nts", {left: (15+xDisplacement),
         top: y*(1.25*spacing)-4,
         stroke: 'black',
         strokeWidth: 1,
@@ -514,7 +534,7 @@ function shadeGeneClusters(geneClusters, colors, y) {
         opacity: 0.25,
         selectable: false
       });
-      path.left += (showLabels?120:0)*scaleFactor;
+      path.left += xDisplacement;
       path.sendBackwards();
       canvas.sendToBack(path);
     }
@@ -614,7 +634,7 @@ function addGenome(label, gene_list, genomeID, y, scaleX=1) {
   }
 
   // line
-  canvas.add(new fabric.Line([0,0,genomeMax*scaleX,0], {left: (showLabels?120:0),
+  canvas.add(new fabric.Line([0,0,genomeMax*scaleX,0], {left: xDisplacement,
         top: spacing*y + 4,
         stroke: 'black',
         strokeWidth: 2,
@@ -630,9 +650,7 @@ function addGenome(label, gene_list, genomeID, y, scaleX=1) {
     //geneGroup.addWithUpdate(geneArrow(gene,y));   // IMPORTANT: only way to select is to select the group or use indices. maybe don't group them but some alternative which lets me scale them all at once?
     var geneIndex = genomeData.genomes.findIndex(g => genomeID == g[0]);
     var geneObj = geneArrow(gene,geneID,genomeData.genomes[geneIndex][1].genes.functions[geneID],y,genomeID,arrowStyle,scaleX=scaleX);
-    if(showLabels) {
-      geneObj.left += 120*scaleX;
-    }
+    geneObj.left += xDisplacement;
     canvas.add(geneObj);
 
     if(showGeneLabels) {

From ecadff3254985dbaae7cb7f3bd8a1cff8bdd1cd7 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 16 Jul 2021 21:22:52 -0500
Subject: [PATCH 0124/1020] fix

---
 anvio/data/interactive/js/genomeview.js | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index f44966af1b..d128ce6c49 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -325,14 +325,13 @@ function loadAll() {
     }
   });
   canvas.on('mouse:up', function(opt) {
-    this.setViewportTransform(this.viewportTransform);
-    this.isDragging = false;
-    this.selection = true;
-
     var vpt = this.viewportTransform;
+    this.setViewportTransform(vpt);
+
+    if(this.isDragging) {
     let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-    let [newStart, newEnd] = [Math.floor(-1*vpt[4]/scaleFactor+xDisplacement),
-                              Math.floor(-1*(vpt[4]/scaleFactor+xDisplacement)+(end-start))];
+      let newStart = Math.floor(-1*(vpt[4]/scaleFactor)-xDisplacement);
+      let newEnd = newStart + (end-start);
     if(newStart < 0) {
       newStart = 0;
       newEnd = end - start;
@@ -344,6 +343,9 @@ function loadAll() {
     brush(d3.select(".brush").transition());
     $('#brush_start').val(newStart);
     $('#brush_end').val(newEnd);
+    }
+    this.isDragging = false;
+    this.selection = true;
   });
   canvas.on('mouse:wheel', function(opt) {
     opt.e.preventDefault();

From 30587473fc4dce8716178da9217a987b0036ba5e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 16 Jul 2021 21:51:29 -0500
Subject: [PATCH 0125/1020] don't crash if no pangenome data available

---
 anvio/data/interactive/js/genomeview.js | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index d128ce6c49..f5f2d0cf1c 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -277,7 +277,7 @@ function loadAll() {
         <tr><td>Start in Contig</td><td>${event.target.gene.start}</td></tr>
         <tr><td>Length</td><td>${event.target.gene.stop - event.target.gene.start}</td></tr>
         <tr><td>Gene Callers ID</td><td>${event.target.geneID}</td></tr>
-        <tr><td>Gene Cluster</td><td>${genomeData.gene_associations["anvio-pangenome"]["genome-and-gene-names-to-gene-clusters"][event.target.genomeID][event.target.geneID]}</td></tr>
+        <tr><td>Gene Cluster</td><td>${genomeData.gene_associations["anvio-pangenome"] ? genomeData.gene_associations["anvio-pangenome"]["genome-and-gene-names-to-gene-clusters"][event.target.genomeID][event.target.geneID] : "None"}</td></tr>
       </table>
       <button>some action</button>
       <button>some other action</button>
@@ -512,6 +512,8 @@ function zoomOut() {
 }
 
 function shadeGeneClusters(geneClusters, colors, y) {
+  if(!genomeData.gene_associations["anvio-pangenome"]) return;
+
   for(var i = 0; i < genomeData.genomes.length-1; i++) {
     let genomeA = genomeData.genomes[i][1].genes.gene_calls;
     let genomeB = genomeData.genomes[i+1][1].genes.gene_calls;
@@ -565,6 +567,8 @@ function checkGeneLabels() {
 }
 
 function alignToCluster(gc) {
+  if(!genomeData.gene_associations["anvio-pangenome"]) return;
+
   if(!gc || gc in genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"]) {
     alignToGC = gc;
 

From 759ca43588029463323e064c591f080c0e12b52f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 17 Jul 2021 17:11:29 -0500
Subject: [PATCH 0126/1020] scale-responsive zoom functionality

---
 anvio/data/interactive/js/genomeview.js | 39 +++++++++++++++++++------
 1 file changed, 30 insertions(+), 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index f5f2d0cf1c..34481934c9 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -496,19 +496,40 @@ function drawScale(y, scaleX=scaleFactor) {
 }
 
 function zoomIn() {
-  scaleFactor += (scaleFactor < 0.2 ? .01 : .1);
-  if(scaleFactor > 4) scaleFactor = 4;
-  if(dynamicScaleInterval) adjustScaleInterval();
+  let start = parseInt($('#brush_start').val()), end = parseInt($('#brush_end').val());
+  let newStart, newEnd;
 
-  draw();
+  let len = end - start;
+  if(len > 4*genomeMax/50) {
+    newStart = Math.floor(start + genomeMax/50), newEnd = Math.floor(end - genomeMax/50);
+  } else {
+    if(len < 50) return;
+    newStart = Math.floor(start + len/4);
+    newEnd = Math.floor(end - len/4);
+    if(newEnd - newStart <= 0) return;
+  }
+
+  brush.extent([newStart, newEnd]);
+  brush(d3.select(".brush").transition());
+  brush.event(d3.select(".brush").transition());
 }
 
 function zoomOut() {
-  scaleFactor -= (scaleFactor < 0.2 ? .01 : .1);
-  if(scaleFactor < 0.01) scaleFactor = 0.01;
-  if(dynamicScaleInterval) adjustScaleInterval();
+  let start = parseInt($('#brush_start').val()), end = parseInt($('#brush_end').val());
 
+  let newStart = start - genomeMax/50, newEnd = end + genomeMax/50;
+  if(newStart == 0 && newEnd == genomeMax) { // for extra-zoomed-out view
+    scaleFactor = 0.01;
+    if(dynamicScaleInterval) adjustScaleInterval();
   draw();
+    return;
+  }
+  if(newStart < 0) newStart = 0;
+  if(newEnd > genomeMax) newEnd = genomeMax;
+
+  brush.extent([newStart, newEnd]);
+  brush(d3.select(".brush").transition());
+  brush.event(d3.select(".brush").transition());
 }
 
 function shadeGeneClusters(geneClusters, colors, y) {
@@ -673,7 +694,7 @@ function addGenome(label, gene_list, genomeID, y, scaleX=1) {
       if(arrowStyle == 3) {
         label.set({
           top: -5+spacing*y,
-          left: (150+gene.start)*scaleX,
+          left: xDisplacement+(gene.start+50)*scaleX,
           scaleX: 0.5,
           scaleY: 0.5,
           selectionColor:'rgba(128,128,128,.5)'
@@ -683,7 +704,7 @@ function addGenome(label, gene_list, genomeID, y, scaleX=1) {
           scaleX: 0.5,
           scaleY: 0.5,
           top: -30+spacing*y,
-          left: (200+gene.start)*scaleX,
+          left: xDisplacement+(gene.start+50)*scaleX,
           angle: -10,
           selectionColor:'rgba(128,128,128,.2)'
         });

From 939cd6eddc5f6b8dc2f62f0cb00e17a36b89bc24 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 19 Jul 2021 11:58:13 -0500
Subject: [PATCH 0127/1020] fix

---
 anvio/data/interactive/js/genomeview.js | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 34481934c9..94bbdd21ea 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -224,8 +224,7 @@ function loadAll() {
       if(dynamicScaleInterval) adjustScaleInterval();
 
       draw();
-      let moveToX = xDisplacement + b[0];
-      canvas.absolutePan({x: scaleFactor*moveToX, y: 0});
+      canvas.absolutePan({x: xDisplacement+scaleFactor*b[0], y: 0});
 
       // TODO: restrict min view to 300 NTs? (or e.g. scaleFactor <= 4)
   }
@@ -330,7 +329,7 @@ function loadAll() {
 
     if(this.isDragging) {
     let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-      let newStart = Math.floor(-1*(vpt[4]/scaleFactor)-xDisplacement);
+      let newStart = Math.floor(-1*(vpt[4]+xDisplacement)/scaleFactor);
       let newEnd = newStart + (end-start);
     if(newStart < 0) {
       newStart = 0;

From 0577d2990220910d92427a8aaa92ab9bd87eab49 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 19 Jul 2021 13:11:14 -0500
Subject: [PATCH 0128/1020] new and improved scroll zoom functionality

---
 anvio/data/interactive/js/genomeview.js | 18 +++++++++++++-----
 1 file changed, 13 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 94bbdd21ea..b5ebec58db 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -351,11 +351,19 @@ function loadAll() {
     opt.e.stopPropagation();
 
     var delta = opt.e.deltaY;
-    scaleFactor *= 0.999 ** delta;
-    if (scaleFactor > 4) scaleFactor = 4;
-    if (scaleFactor < 0.01) scaleFactor = 0.01;
-    if(dynamicScaleInterval) adjustScaleInterval();
-    draw();
+    let tmp = scaleFactor * (0.999 ** delta);
+    let diff = tmp - scaleFactor;
+    let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+    let [newStart, newEnd] = [Math.floor(start - diff*genomeMax), Math.floor(end + diff*genomeMax];
+    if(newStart < 0) newStart = 0;
+    if(newEnd > genomeMax) newEnd = genomeMax;
+    if(newEnd - newStart < 50) return;
+    
+    brush.extent([newStart, newEnd]);
+    brush(d3.select(".brush").transition()); // if zoom is slow or choppy, try removing .transition()
+    brush.event(d3.select(".brush"));
+    $('#brush_start').val(newStart);
+    $('#brush_end').val(newEnd);
   });
 
   $('#geneClusterInput').on('keydown', function(e) {

From 712012c64147fa6a7dce8dd48741f4d1882fbc4c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 19 Jul 2021 13:16:33 -0500
Subject: [PATCH 0129/1020] oops

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index b5ebec58db..edf976c674 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -354,7 +354,7 @@ function loadAll() {
     let tmp = scaleFactor * (0.999 ** delta);
     let diff = tmp - scaleFactor;
     let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-    let [newStart, newEnd] = [Math.floor(start - diff*genomeMax), Math.floor(end + diff*genomeMax];
+    let [newStart, newEnd] = [Math.floor(start - diff*genomeMax), Math.floor(end + diff*genomeMax)];
     if(newStart < 0) newStart = 0;
     if(newEnd > genomeMax) newEnd = genomeMax;
     if(newEnd - newStart < 50) return;

From 882c6dbbb72917c578d204bdb7df74b6fc4d6fc9 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 19 Jul 2021 13:16:59 -0500
Subject: [PATCH 0130/1020] scale cosmetics

---
 anvio/data/interactive/css/genomeview.css | 3 ++-
 anvio/data/interactive/genomeview.html    | 8 ++++----
 2 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index 99cc87dd39..ecda432362 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -179,7 +179,8 @@ a{
 
 #scaleContainer{
     border-style: solid;
-    border-width: 1;
+    border-width: 3px;
+    background: white;
     padding: 15px;
     margin: 5px;
     position: fixed;
diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 6bc693ce30..3ccfbf9c13 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -33,10 +33,10 @@
               <div id="scaleBox" height="140px">
                 <svg id="scaleSvg" height="120px"></svg>
               </div>
-              <button id="zoom-in" onclick="zoomIn()">+</button>
-              <button id="zoom-out" onclick="zoomOut()">-</button>
-              <input type="text" class="form-control input-sm" id="brush_end" style= "width: 60px; float:right" value="0"></input>
-              <input type="text" class="form-control input-sm" id="brush_start" style= "width: 60px; float:right; margin-right:10px" value="0"></input>
+              <button id="zoom-out" onclick="zoomOut()" style="float:right">-</button>
+              <button id="zoom-in" onclick="zoomIn()" style="float:right; margin-right:5px">+</button>
+              <input type="text" class="form-control input-sm" id="brush_start" style= "width: 60px; float:left; margin-right:10px" value="0"></input>
+              <input type="text" class="form-control input-sm" id="brush_end" style= "width: 60px; float:left" value="0"></input>
             </div>
             <div id='tooltip-body' display='none'></div>
 

From ee5f2d1a8c9c69853fa576d623fffa97f6bccfa2 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 19 Jul 2021 20:35:07 -0500
Subject: [PATCH 0131/1020] fix fn for panning to gene cluster

---
 anvio/data/interactive/genomeview.html  |  2 +-
 anvio/data/interactive/js/genomeview.js | 66 ++++++++++++++++++++-----
 2 files changed, 54 insertions(+), 14 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 3ccfbf9c13..1e26924344 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -60,7 +60,7 @@
                               <td><input type="text" class="form-control input-sm" id="plot_scale" value="(TODO)"></td>
                             </tr>
                             <tr>
-                              <td>Align to Gene Cluster: </td>
+                              <td>Pan to Gene Cluster: </td>
                               <td><input id="geneClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
                             </tr>
                           </tbody>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index edf976c674..2319720551 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -368,7 +368,7 @@ function loadAll() {
 
   $('#geneClusterInput').on('keydown', function(e) {
     if(e.keyCode == 13) { // 13 = enter key
-      alignToCluster($(this).val());
+      viewCluster($(this).val());
       $(this).blur();
     }
   });
@@ -597,25 +597,65 @@ function checkGeneLabels() {
 function alignToCluster(gc) {
   if(!genomeData.gene_associations["anvio-pangenome"]) return;
 
-  if(!gc || gc in genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"]) {
+  var [firstGenomeID, targetGeneMid] = viewCluster(gc);
+  if(firstGenomeID != null) {
     alignToGC = gc;
 
-    for(genome of genomeData.genomes) {
-      var genomeGCs = genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][alignToGC][genome[0]];
-      if(genomeGCs.length == 0) continue;
-      var targetGeneID = genomeGCs[0]; /* TODO: implementation for multiple matching gene IDs */
-      var targetGene = genome[1].genes.gene_calls[targetGeneID];
-      var genePos = targetGene.start + (targetGene.stop - targetGene.start) / 2;
-      var windowCenter = canvas.getWidth()/2 - canvas.viewportTransform[4]; // canvas.getWidth()/2 is clientX of center of screen
-      var shift = windowCenter - genePos;
-      canvas.viewportTransform[4] += (shift*scaleFactor);
-      break;
+    for(var i = firstGenomeID+1; i < genomeData.genomes.length; i++) {
+      let geneMids = getGenePosForGenome(i, alignToGC);
+      if(geneMids == null) continue;
+      var geneMid = geneMids[0]; /* TODO: implementation for multiple matching gene IDs */
+      var shift = targetGeneMid - geneMid;
+      // TODO: shift the current genome by 'shift'
+      // This implementation requires completion of
+        // a) individual genome scale 'rulers'
+        // b) genome group objects to shift encapsulated genes at once
     }
+  } else {
+    console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
+  }
+  // draw();
+    }
+
+/*
+ * returns tuple [a,b] where
+ *  a is index of the first genome containing `gc` and
+ *  b is NT position of the middle of the target gene
+*/
+function viewCluster(gc) {
+  if(!genomeData.gene_associations["anvio-pangenome"]) return;
 
+  if(!gc || gc in genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"]) {
+    for(var i = 0; i < genomeData.genomes.length; i++) {
+      let genome = genomeData.genomes[i];
+      var targetGenes = genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genome[0]];
+      if(targetGenes.length == 0) continue;
+      var targetGeneID = targetGenes[0]; /* TODO: implementation for multiple matching gene IDs */
+      var targetGene = genome[1].genes.gene_calls[targetGeneID];
+
+      var geneMid = targetGene.start + (targetGene.stop - targetGene.start) / 2;
+      canvas.absolutePan({x: scaleFactor*geneMid + xDisplacement - canvas.getWidth()/2, y: 0});
+      return [i, geneMid];
+    }
   } else {
     console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
   }
-  draw();
+  return null;
+}
+
+/* return NT position of the middle of the gene in a given genome with a specified gene cluster */
+function getGenePosForGenome(genomeID, gc) {
+  let genome = genomeData.genomes[genomeID];
+  var targetGenes = genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genome[0]];
+  if(targetGenes.length == 0) return null;
+
+  let mids = [];
+  for(geneID of targetGenes) {
+    let gene = genome[1].genes.gene_calls[geneID];
+    let geneMid = gene.start + (gene.stop - gene.start) / 2;
+    mids.push(geneMid);
+  }
+  return mids;
 }
 
 function setGenomeSpacing(newSpacing) {

From 1ac0d8c9edd401fd23a707a7ddc016435bed77ab Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 20 Jul 2021 00:11:03 -0500
Subject: [PATCH 0132/1020] upon aligning to target gene, make it ~glow~

---
 anvio/data/interactive/js/genomeview.js | 15 +++++++++++++++
 1 file changed, 15 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 2319720551..d94e3d19a5 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -635,6 +635,21 @@ function viewCluster(gc) {
 
       var geneMid = targetGene.start + (targetGene.stop - targetGene.start) / 2;
       canvas.absolutePan({x: scaleFactor*geneMid + xDisplacement - canvas.getWidth()/2, y: 0});
+
+      var shadow = new fabric.Shadow({
+        color: 'red',
+        blur: 30
+      });
+      var arrow = canvas.getObjects().filter(obj => obj.id == 'arrow' && obj.genomeID == genome[0] && obj.geneID == targetGeneID)[0];
+      arrow.set('shadow', shadow);
+      canvas.renderAll();
+      arrow.animate('shadow.blur', 0, {
+        duration: 3000,
+        onChange: canvas.renderAll.bind(canvas),
+        onComplete: function(){ arrow.shadow = null; },
+        easing: fabric.util.ease['easeInQuad']
+      });
+
       return [i, geneMid];
     }
   } else {

From af2f951bd1ec539e34d7fc358b47b1c1c5c7e92d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 20 Jul 2021 13:22:32 -0500
Subject: [PATCH 0133/1020] scale responsive to viewCluster()

---
 anvio/data/interactive/js/genomeview.js | 40 +++++++++++++------------
 1 file changed, 21 insertions(+), 19 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index d94e3d19a5..40673618a4 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -324,25 +324,8 @@ function loadAll() {
     }
   });
   canvas.on('mouse:up', function(opt) {
-    var vpt = this.viewportTransform;
-    this.setViewportTransform(vpt);
-
-    if(this.isDragging) {
-    let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-      let newStart = Math.floor(-1*(vpt[4]+xDisplacement)/scaleFactor);
-      let newEnd = newStart + (end-start);
-    if(newStart < 0) {
-      newStart = 0;
-      newEnd = end - start;
-    } else if(newEnd > genomeMax) {
-      newEnd = genomeMax;
-      newStart = start + (genomeMax - end);
-    }
-    brush.extent([newStart, newEnd]);
-    brush(d3.select(".brush").transition());
-    $('#brush_start').val(newStart);
-    $('#brush_end').val(newEnd);
-    }
+    this.setViewportTransform(this.viewportTransform);
+    if(this.isDragging) updateScalePos();
     this.isDragging = false;
     this.selection = true;
   });
@@ -636,6 +619,8 @@ function viewCluster(gc) {
       var geneMid = targetGene.start + (targetGene.stop - targetGene.start) / 2;
       canvas.absolutePan({x: scaleFactor*geneMid + xDisplacement - canvas.getWidth()/2, y: 0});
 
+      updateScalePos();
+
       var shadow = new fabric.Shadow({
         color: 'red',
         blur: 30
@@ -1024,6 +1009,23 @@ function adjustScaleInterval() { // dynamically set scale interval based on scal
   $('#genome_scale_interval').val(scaleInterval);
 }
 
+function updateScalePos() {
+  let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+  let newStart = Math.floor(-1*(canvas.viewportTransform[4]+xDisplacement)/scaleFactor);
+  let newEnd = newStart + (end-start);
+  if(newStart < 0) {
+    newStart = 0;
+    newEnd = end - start;
+  } else if(newEnd > genomeMax) {
+    newEnd = genomeMax;
+    newStart = start + (genomeMax - end);
+  }
+  brush.extent([newStart, newEnd]);
+  brush(d3.select(".brush").transition());
+  $('#brush_start').val(newStart);
+  $('#brush_end').val(newEnd);
+}
+
 var fixHelperModified = function(e, tr) { // ripped from utils.js instead of importing the whole file
   var $originals = tr.children();
   var $helper = tr.clone();

From de3d05bde099406c20f6deb025005d81bfc41af5 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 20 Jul 2021 13:42:37 -0500
Subject: [PATCH 0134/1020] keep viewCluster() within view bounds

---
 anvio/data/interactive/js/genomeview.js | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 40673618a4..ff77663915 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -317,8 +317,8 @@ function loadAll() {
       var vpt = this.viewportTransform;
       vpt[4] += e.clientX - this.lastPosX;
       if(vpt[4] > 125) vpt[4] = 125;
-      if(vpt[4] < canvas.getWidth() - genomeMax*scaleFactor - 250)
-      vpt[4] = canvas.getWidth() - genomeMax*scaleFactor - 250;
+      if(vpt[4] < canvas.getWidth() - genomeMax*scaleFactor - xDisplacement - 125)
+      vpt[4] = canvas.getWidth() - genomeMax*scaleFactor - xDisplacement - 125;
       this.requestRenderAll();
       this.lastPosX = e.clientX;
     }
@@ -618,6 +618,7 @@ function viewCluster(gc) {
 
       var geneMid = targetGene.start + (targetGene.stop - targetGene.start) / 2;
       canvas.absolutePan({x: scaleFactor*geneMid + xDisplacement - canvas.getWidth()/2, y: 0});
+      canvas.viewportTransform[4] = clamp(canvas.viewportTransform[4], canvas.getWidth() - genomeMax*scaleFactor - xDisplacement - 125, 125);
 
       updateScalePos();
 

From 4fe1e0ad2473c5814425e863c9d0d2307d3fdb40 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 23 Jul 2021 16:29:18 -0500
Subject: [PATCH 0135/1020] slideable genomes! + function documentation

---
 anvio/data/interactive/js/genomeview.js | 141 ++++++++++++++++++------
 1 file changed, 105 insertions(+), 36 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index ff77663915..acae7e0f1f 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -52,6 +52,7 @@
  // will need to find an efficient way to find these automatically
 
 var genomeData;
+var xDisps = {};
 
 $(document).ready(function() {
     initData();
@@ -235,14 +236,7 @@ function loadAll() {
   $('#show_scale_box').attr("checked", showScale);
   $('#show_dynamic_scale_box').attr("checked", dynamicScaleInterval);
 
-  // can either set it on the canvas to check for all arrows, or when arrow is created.
-  canvas.on('mouse:down', function(options) {
-    if(options.target && options.target.id == 'arrow') {
-      options.target.set('fill', options.target.fill=="red" ? "blue" : 'red');
-      var testid = options.target.gene.gene_callers_id;
-      console.log(options.target.gene);
-    }
-  });
+  // can either set arrow click listener on the canvas to check for all arrows, or when arrow is created.
 
   canvas.on('mouse:over', (event) => {
     if(event.target && event.target.id === 'arrow'){
@@ -310,6 +304,8 @@ function loadAll() {
       this.selection = false;
       this.lastPosX = evt.clientX;
     }
+    this.shades = true;
+    if(opt.target && opt.target.groupID) this.prev = opt.target.left;
   });
   canvas.on('mouse:move', function(opt) {
     if (this.isDragging) {
@@ -328,6 +324,34 @@ function loadAll() {
     if(this.isDragging) updateScalePos();
     this.isDragging = false;
     this.selection = true;
+    if(!this.shades) {
+      this.shades = true;
+      drawTestShades();
+    }
+  });
+  canvas.on('object:moving', function(opt) {
+    var gid = opt.target ? opt.target.groupID : null;
+    if(gid == null) return;
+
+    if(opt.target.id == 'genomeLine') canvas.sendToBack(opt.target);
+    if(this.shades) {
+      canvas.getObjects().filter(obj => obj.id == 'link').forEach((l) => { canvas.remove(l) });
+      this.shades = false;
+    }
+
+    let objs = canvas.getObjects().filter(obj => obj.groupID == gid);
+
+    var delta = opt.target.left - this.prev; //this.previousEvent ? opt.pointer.x - this.previousEvent.pointer.x : opt.e.movementX;
+    for(o of objs) {
+      if(o === opt.target) continue;
+      o.left += delta;
+      //o.dirty = true;
+    }
+    xDisps[gid] += delta;
+    //canvas.renderAll();
+    this.setViewportTransform(this.viewportTransform);
+    //this.previousEvent = opt;
+    this.prev = opt.target.left;
   });
   canvas.on('mouse:wheel', function(opt) {
     opt.e.preventDefault();
@@ -438,15 +462,17 @@ function draw(scaleX=scaleFactor) {
   labelSpacing = 30 // reset to default value upon each draw() call
   yOffset = 0 // reset 
   var y = 1;
+
   for(genome of genomeData.genomes) {
     let label = genome[1].genes.gene_calls[0].contig;
     addGenome(label, genome[1].genes.gene_calls, genome[0], y, scaleX=scaleX)
     addLayers(label, genome[1], genome[0])
+    xDisps[genome[0]] = xDisplacement;
     labelSpacing += 30
     y++;
   }
   drawScale(y);
-  shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"},spacing);
+  drawTestShades();
   checkGeneLabels();
 }
 
@@ -522,6 +548,15 @@ function zoomOut() {
   brush.event(d3.select(".brush").transition());
 }
 
+/*
+ *  Draw background shades between genes of the same cluster.
+ *  TODO: generalize this function to take in [start,stop,val] NT sequence ranges to shade any arbitrary metric
+ *        - add a separate function for retrieving [start,stop,val] given gene cluster IDs
+ *
+ *  @param geneClusters : array of GC IDs to be shaded
+ *  @param colors       : dict defining color of each shade, in the form {geneClusterID : hexColor}
+ *  @param y            : y-position of first genome
+ */
 function shadeGeneClusters(geneClusters, colors, y) {
   if(!genomeData.gene_associations["anvio-pangenome"]) return;
 
@@ -540,16 +575,16 @@ function shadeGeneClusters(geneClusters, colors, y) {
         g2.push(genomeB[geneID].start, genomeB[geneID].stop);
       }
 
-      g1 = g1.map(val => val*scaleFactor);
-      g2 = g2.map(val => val*scaleFactor);
+      g1 = g1.map(val => val*scaleFactor + xDisps[genomeID_A]);
+      g2 = g2.map(val => val*scaleFactor + xDisps[genomeID_B]);
 
       /* TODO: implementation for multiple genes of the same genome in the same gene cluster */
       var path = new fabric.Path("M " + g1[0] + " " + y + " L " + g1[1] + " " + y + " L " + g2[1] + " " + (y+spacing) + " L " + g2[0] + " " + (y+spacing) + " z", {
+        id: 'link',
         fill: colors[gc],
         opacity: 0.25,
         selectable: false
       });
-      path.left += xDisplacement;
       path.sendBackwards();
       canvas.sendToBack(path);
     }
@@ -557,6 +592,16 @@ function shadeGeneClusters(geneClusters, colors, y) {
   }
 }
 
+/*
+ *  Temporary function for testing shades.
+ */
+function drawTestShades() {
+  shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"},spacing);
+}
+
+/*
+ *  Show/hide gene labels so that none intersect.
+ */
 function checkGeneLabels() {
   var labels = canvas.getObjects().filter(obj => obj.id == 'geneLabel');
   for(var i = 0; i < labels.length-1; i++) {
@@ -577,6 +622,12 @@ function checkGeneLabels() {
   }
 }
 
+/*
+ *  Shift genomes horizontally to align genes around the target gene cluster.
+ *  TODO: finish implementation and add to settings panel
+ *
+ *  @param gc : target gene cluster ID
+ */
 function alignToCluster(gc) {
   if(!genomeData.gene_associations["anvio-pangenome"]) return;
 
@@ -590,9 +641,6 @@ function alignToCluster(gc) {
       var geneMid = geneMids[0]; /* TODO: implementation for multiple matching gene IDs */
       var shift = targetGeneMid - geneMid;
       // TODO: shift the current genome by 'shift'
-      // This implementation requires completion of
-        // a) individual genome scale 'rulers'
-        // b) genome group objects to shift encapsulated genes at once
     }
   } else {
     console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
@@ -601,7 +649,10 @@ function alignToCluster(gc) {
     }
 
 /*
- * returns tuple [a,b] where
+ * Pan viewport to the first gene in the target gene cluster.
+ *
+ * @param gc : target gene cluster ID
+ * @returns tuple [a,b] where
  *  a is index of the first genome containing `gc` and
  *  b is NT position of the middle of the target gene
 */
@@ -703,34 +754,34 @@ function setGenomeLabelSize(newSize) {
   if(showLabels) draw();
 }
 
-function addGenome(label, gene_list, genomeID, y, scaleX=1) {
+function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1) {
   if(showLabels) {
-    canvas.add(new fabric.Text(label, {top: spacing*y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
+    canvas.add(new fabric.Text(genomeLabel, {top: spacing*y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
   }
 
   // line
-  canvas.add(new fabric.Line([0,0,genomeMax*scaleX,0], {left: xDisplacement,
+  let lineObj = new fabric.Line([0,0,genomeMax*scaleX,0], {
+        id: 'genomeLine',
+        groupID: genomeID,
+        left: xDisplacement,
         top: spacing*y + 4,
         stroke: 'black',
         strokeWidth: 2,
-        selectable: false}));
-
-  // here we can either draw genes individually, or collectively as a group
-  // grouping allows you to transform them all at once, but makes selecting individual arrows difficult
-  // so for now they are drawn individually
+        lockMovementY: true,
+        hasControls: false,
+        lockScaling: true});
+  canvas.add(lineObj);
 
-  //var geneGroup = new fabric.Group();
   for(let geneID in gene_list) {
     let gene = gene_list[geneID];
-    //geneGroup.addWithUpdate(geneArrow(gene,y));   // IMPORTANT: only way to select is to select the group or use indices. maybe don't group them but some alternative which lets me scale them all at once?
     var geneIndex = genomeData.genomes.findIndex(g => genomeID == g[0]);
     var geneObj = geneArrow(gene,geneID,genomeData.genomes[geneIndex][1].genes.functions[geneID],y,genomeID,arrowStyle,scaleX=scaleX);
-    geneObj.left += xDisplacement;
     canvas.add(geneObj);
 
     if(showGeneLabels) {
       var label = new fabric.IText("geneID: "+geneID, {
         id: 'geneLabel',
+        groupID: genomeID,
         fontSize: geneLabelSize,
         hasControls: false,
         lockMovementX: true,
@@ -760,8 +811,6 @@ function addGenome(label, gene_list, genomeID, y, scaleX=1) {
       canvas.add(label);
     }
   }
-  //canvas.add(geneGroup.set('scaleX',canvas.getWidth()/genomeMax/3));
-  //geneGroup.destroy();
 }
 
 function addLayers(label, genome, genomeID){ // this will work alongside addGenome to render out any additional data layers associated with each group (genome)
@@ -772,10 +821,12 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     }
   })
 
+  let genomeIndex = genomeData.genomes.findIndex(g => genomeID == g[0]);
+
   if(additionalDataLayers['coverage']){
     let maxCoverageValue = 0
     let startingTop = 180 + yOffset
-    let startingLeft = 120
+    let startingLeft = xDisps[genomeID]
     let layerHeight = 50
     let pathDirective = [`M 0 0`]
 
@@ -796,8 +847,11 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       left : startingLeft,
       stroke : additionalDataLayers['coverage-color'] ? additionalDataLayers['coverage-color'] : 'black',
       fill : '', //additionalDataLayers['coverage-color'] ? additionalDataLayers['coverage-color'] : 'black',
-      selectable : false, 
+      lockMovementY: true,
+      hasControls: false,
+      lockScaling: true,
       id : 'coverage graph', 
+      groupID : genomeID,
       genome : additionalDataLayers['genome']
     })
     canvas.bringToFront(graphObj)
@@ -806,7 +860,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
   if(additionalDataLayers['gcContent']){
     let maxGCValue = 0
     let startingTop = 240 + yOffset
-    let startingLeft = 120
+    let startingLeft = xDisps[genomeID]
     let layerHeight = 50
     let pathDirective = [`M 0 0`]
 
@@ -827,8 +881,11 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       left : startingLeft,
       stroke : additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
       fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
-      selectable : false, 
+      lockMovementY: true,
+      hasControls: false,
+      lockScaling: true,
       id : 'gcContent graph', 
+      groupID : genomeID,
       genome : additionalDataLayers['genome']
     })
     canvas.bringToFront(graphObj)
@@ -886,12 +943,15 @@ function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {
   var arrow = new fabric.Path(arrowPathStr);
   arrow.set({
     id: 'arrow',
-    selectable: false,
+    groupID: genomeID,
+    lockMovementY: true,
+    hasControls: false,
+    lockScaling: true,
     gene: gene,
     geneID: geneID,
     genomeID: genomeID,
     top: style == 3 ? -17+spacing*y : -11+spacing*y,
-    left: (1.5+gene.start)*scaleX,
+    left: xDisplacement + (1.5+gene.start)*scaleX,
     fill: color,
     stroke: 'gray',
     strokeWidth: style == 3 ? 3 : 1.5
@@ -983,6 +1043,9 @@ function changeGenomeOrder(updatedOrder){
   draw()
 }
 
+/*
+ *  Save NT length of the largest genome in `genomeMax`.
+ */
 function calculateMaxGenomeLength(){
   for(genome of genomeData.genomes) {
     genome = genome[1].genes.gene_calls;
@@ -1002,7 +1065,10 @@ function calculateMainCanvasHeight(){ // to be used for setting vertical spacing
   return mainCanvasHeight
 }
 
-function adjustScaleInterval() { // dynamically set scale interval based on scaleFactor
+/*
+ *  Dynamically set scale tick interval based on scaleFactor.
+ */
+function adjustScaleInterval() {
   let val = Math.floor(100/scaleFactor);
   let roundToDigits = Math.floor(Math.log10(val)) - 1;
   let newInterval = Math.floor(val/(10**roundToDigits)) * (10**roundToDigits);
@@ -1010,6 +1076,9 @@ function adjustScaleInterval() { // dynamically set scale interval based on scal
   $('#genome_scale_interval').val(scaleInterval);
 }
 
+/*
+ *  Update scale box position to match viewport location.
+ */
 function updateScalePos() {
   let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
   let newStart = Math.floor(-1*(canvas.viewportTransform[4]+xDisplacement)/scaleFactor);

From 2ed55bbf7b759776e20d9e0c6ea753a7697c647c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 23 Jul 2021 17:48:56 -0500
Subject: [PATCH 0136/1020] glow ALL genes in cluster after panning to cluster

---
 anvio/data/interactive/js/genomeview.js | 59 ++++++++++++++++---------
 1 file changed, 37 insertions(+), 22 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index acae7e0f1f..f3833f53fc 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -635,7 +635,8 @@ function alignToCluster(gc) {
   if(firstGenomeID != null) {
     alignToGC = gc;
 
-    for(var i = firstGenomeID+1; i < genomeData.genomes.length; i++) {
+    let index = genomeData.genomes.findIndex(g => g[0] == firstGenomeID);
+    for(var i = index+1; i < genomeData.genomes.length; i++) {
       let geneMids = getGenePosForGenome(i, alignToGC);
       if(geneMids == null) continue;
       var geneMid = geneMids[0]; /* TODO: implementation for multiple matching gene IDs */
@@ -653,54 +654,62 @@ function alignToCluster(gc) {
  *
  * @param gc : target gene cluster ID
  * @returns tuple [a,b] where
- *  a is index of the first genome containing `gc` and
+ *  a is genomeID of the first genome containing `gc` and
  *  b is NT position of the middle of the target gene
 */
 function viewCluster(gc) {
   if(!genomeData.gene_associations["anvio-pangenome"]) return;
 
+  var genes = [];
+  var geneMid;
+  var first = true;
+
   if(!gc || gc in genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"]) {
-    for(var i = 0; i < genomeData.genomes.length; i++) {
-      let genome = genomeData.genomes[i];
-      var targetGenes = genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genome[0]];
-      if(targetGenes.length == 0) continue;
+    for(genome of genomeData.genomes) {
+      var targetGenes = getGenesOfGC(genome[0], gc);
+      if(targetGenes == null) continue;
       var targetGeneID = targetGenes[0]; /* TODO: implementation for multiple matching gene IDs */
       var targetGene = genome[1].genes.gene_calls[targetGeneID];
+      genes.push({genome:genome[0],gene:targetGeneID});
 
-      var geneMid = targetGene.start + (targetGene.stop - targetGene.start) / 2;
+      if(first) {
+        geneMid = targetGene.start + (targetGene.stop - targetGene.start) / 2;
       canvas.absolutePan({x: scaleFactor*geneMid + xDisplacement - canvas.getWidth()/2, y: 0});
       canvas.viewportTransform[4] = clamp(canvas.viewportTransform[4], canvas.getWidth() - genomeMax*scaleFactor - xDisplacement - 125, 125);
-
       updateScalePos();
-
+        first = false;
+      }
+    }
       var shadow = new fabric.Shadow({
         color: 'red',
         blur: 30
       });
-      var arrow = canvas.getObjects().filter(obj => obj.id == 'arrow' && obj.genomeID == genome[0] && obj.geneID == targetGeneID)[0];
+    var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow' && genes.some(g => g.genome == obj.genomeID && g.gene == obj.geneID));
+    for(arrow of arrows) {
       arrow.set('shadow', shadow);
-      canvas.renderAll();
       arrow.animate('shadow.blur', 0, {
         duration: 3000,
         onChange: canvas.renderAll.bind(canvas),
         onComplete: function(){ arrow.shadow = null; },
         easing: fabric.util.ease['easeInQuad']
       });
-
-      return [i, geneMid];
     }
+    canvas.renderAll();
+    return [genome[0], geneMid];
   } else {
     console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
-  }
   return null;
 }
+}
 
-/* return NT position of the middle of the gene in a given genome with a specified gene cluster */
+/*
+ *  @returns NT position of the middle of each gene in a given genome with a specified gene cluster
+ */
 function getGenePosForGenome(genomeID, gc) {
-  let genome = genomeData.genomes[genomeID];
-  var targetGenes = genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genome[0]];
-  if(targetGenes.length == 0) return null;
+  var targetGenes = getGenesOfGC(genomeID, gc);
+  if(targetGenes == null) return null;
 
+  let genome = genomeData.genomes.find(g => g[0] == genomeID);
   let mids = [];
   for(geneID of targetGenes) {
     let gene = genome[1].genes.gene_calls[geneID];
@@ -710,6 +719,14 @@ function getGenePosForGenome(genomeID, gc) {
   return mids;
 }
 
+/*
+ *  @returns array of geneIDs in a given genome with a specified gene cluster
+ */
+function getGenesOfGC(genomeID, gc) {
+  var targetGenes = genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID];
+  return targetGenes.length > 0 ? targetGenes : null;
+}
+
 function setGenomeSpacing(newSpacing) {
   if(isNaN(newSpacing)) return;
   newSpacing = parseInt(newSpacing);
@@ -774,8 +791,8 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1) {
 
   for(let geneID in gene_list) {
     let gene = gene_list[geneID];
-    var geneIndex = genomeData.genomes.findIndex(g => genomeID == g[0]);
-    var geneObj = geneArrow(gene,geneID,genomeData.genomes[geneIndex][1].genes.functions[geneID],y,genomeID,arrowStyle,scaleX=scaleX);
+    let genome = genomeData.genomes.find(g => g[0] == genomeID)[1];
+    var geneObj = geneArrow(gene,geneID,genome.genes.functions[geneID],y,genomeID,arrowStyle,scaleX=scaleX);
     canvas.add(geneObj);
 
     if(showGeneLabels) {
@@ -821,8 +838,6 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     }
   })
 
-  let genomeIndex = genomeData.genomes.findIndex(g => genomeID == g[0]);
-
   if(additionalDataLayers['coverage']){
     let maxCoverageValue = 0
     let startingTop = 180 + yOffset

From 0d89db9f3397607888af5d004a1862d6e0af857b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 23 Jul 2021 17:49:29 -0500
Subject: [PATCH 0137/1020] fix

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index f3833f53fc..6e4e00a35a 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -465,9 +465,9 @@ function draw(scaleX=scaleFactor) {
 
   for(genome of genomeData.genomes) {
     let label = genome[1].genes.gene_calls[0].contig;
+    xDisps[genome[0]] = xDisplacement;
     addGenome(label, genome[1].genes.gene_calls, genome[0], y, scaleX=scaleX)
     addLayers(label, genome[1], genome[0])
-    xDisps[genome[0]] = xDisplacement;
     labelSpacing += 30
     y++;
   }

From f0af1f4cc97dde98f4d350c2354a498e176aeaf9 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 23 Jul 2021 18:01:25 -0500
Subject: [PATCH 0138/1020] disable group selection

---
 anvio/data/interactive/js/genomeview.js | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 6e4e00a35a..1a1dabad0c 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -238,6 +238,13 @@ function loadAll() {
 
   // can either set arrow click listener on the canvas to check for all arrows, or when arrow is created.
 
+  // disable group selection
+  canvas.on('selection:created', (e) => {
+    if(e.target.type === 'activeSelection') {
+      canvas.discardActiveObject();
+    }
+  })
+
   canvas.on('mouse:over', (event) => {
     if(event.target && event.target.id === 'arrow'){
       showToolTip(event)

From a48489bf9964cb8564f75d9c9f36170ddd59de56 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 25 Jul 2021 13:02:27 -0500
Subject: [PATCH 0139/1020] gene label overlap fix

---
 anvio/data/interactive/js/genomeview.js | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 1a1dabad0c..69a2cef4db 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -607,12 +607,13 @@ function drawTestShades() {
 }
 
 /*
- *  Show/hide gene labels so that none intersect.
+ *  Show/hide gene labels to show the max amount possible s.t. none overlap.
  */
 function checkGeneLabels() {
   var labels = canvas.getObjects().filter(obj => obj.id == 'geneLabel');
   for(var i = 0; i < labels.length-1; i++) {
     if(arrowStyle == 3) {
+      // hide labels that don't fit inside pentagon arrows
       if(labels[i].width/2 > canvas.getObjects().filter(obj => obj.id == 'arrow')[i].width) {
         labels[i].visible = false;
         continue;
@@ -620,10 +621,11 @@ function checkGeneLabels() {
       labels[i].visible = true;
     }
     var p = i+1;
-    while(labels[i].intersectsWithObject(labels[p]) && p < labels.length-1) {
+    while(p < labels.length && labels[i].intersectsWithObject(labels[p])) {
       labels[p].visible = false;
       p++;
     }
+    if(p == labels.length) return;
     labels[p].visible = true;
     i = p - 1;
   }

From 57b02a41091c040d116f5e5a2211638cefe20ca8 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 26 Jul 2021 18:16:50 +0000
Subject: [PATCH 0140/1020] additional data layers menu in settings panel

---
 anvio/data/interactive/genomeview.html  | 17 +++++++++++++++++
 anvio/data/interactive/js/genomeview.js | 20 ++++++++++++++++++++
 2 files changed, 37 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 1e26924344..bac6bd9d31 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -127,6 +127,23 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                       </table>
                   </div>
 
+                        <span class="settings-header">Additional Data Layers</span>
+                        <table id="additionalDataLayersTable" style="margin-bottom: 20px;">
+                          <thead>
+                            <tr>
+                                <td></td>
+                                <td data-help="layer-name">Name</td>
+                                <td data-help="layer-color"><div style="width: 32px;">Color</div></td>
+                                <td data-help="layer-height">Height</td>
+                                <td data-help="layer-margin" class="column-margin">Margin</td>
+                                <td data-help="layer-min">Min</td>
+                                <td data-help="layer-max">Max</td>
+                            </tr>
+                          </thead>
+                          <tbody id='tbody_additionalDataLayers'>
+                          </tbody>
+                        </table>
+                        
                         <span class="settings-header">Scale</span>
                         <table id="scaleTable" style="margin-bottom: 20px;">
                           <tbody>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index ff77663915..19bb74ddbf 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -969,6 +969,26 @@ function buildGenomesTable(genomes, order){
   })
 }
 
+function buildAdditionalDataLayersTable(layerLabel){
+  var height; 
+  var margin; 
+  var template = '<tr id={layerLabel}>' +
+                  '<td> {layerLabel} </td>' +
+                  '<td>n/a</td>' +
+                  '<td>n/a</td>' +
+                  '<td>n/a</td>' +
+                  '<td><input class="input-height" type="text" size="3" id="height{id}" value="{height}"></input></td>' +
+                  '<td class="column-margin"><input class="input-margin" type="text" size="3" id="margin{id}" value="{margin}"></input></td>' +
+                  '<td>n/a</td>' +
+                  '<td>n/a</td>' +
+                  '<td><input type="checkbox" class="layer_selectors"></input></td>' +
+                  '</tr>'; 
+  template = template.replace(new RegExp('{height}', 'g'), height)
+                     .replace(new RegExp('{margin}', 'g'), margin)
+                     .replace(new RegExp('{genomeLabel}', 'g'), layerLabel);   
+  $('#tbody_additionalDataLayers').append(template);
+}
+
 function changeGenomeOrder(updatedOrder){
 
   let newGenomeOrder = []

From 3b887268e87d485f4a21e491c6db3f1086ab64ed Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 26 Jul 2021 18:29:00 +0000
Subject: [PATCH 0141/1020] dynamically build ADL table

---
 anvio/data/interactive/js/genomeview.js | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 19bb74ddbf..f131d82626 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -136,6 +136,14 @@ function processState(stateName, stateData){
     }
     stateData['additional-data-layers'].push(additionalDataObject)
   }
+  // working under the assumption that all genome groups with contain the same additional data layers, 
+  // we can query the first genome group for specific ADL and go from there
+  if(stateData['additional-data-layers'][0]['coverage']){
+    buildAdditionalDataLayersTable('coverage')
+  }
+  if(stateData['additional-data-layers'][0]['gcContent']){
+    buildAdditionalDataLayersTable('GC Content')
+  }
   
   if(stateData['genome-order-method']){
     stateData['genome-order-method'].forEach(orderMethod => {
@@ -985,7 +993,7 @@ function buildAdditionalDataLayersTable(layerLabel){
                   '</tr>'; 
   template = template.replace(new RegExp('{height}', 'g'), height)
                      .replace(new RegExp('{margin}', 'g'), margin)
-                     .replace(new RegExp('{genomeLabel}', 'g'), layerLabel);   
+                     .replace(new RegExp('{layerLabel}', 'g'), layerLabel);   
   $('#tbody_additionalDataLayers').append(template);
 }
 

From 362469b7c6ef5278df86860dc1246d894b39b988 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 26 Jul 2021 13:29:50 -0500
Subject: [PATCH 0142/1020] refactor gene glow effect into new function

---
 anvio/data/interactive/js/genomeview.js | 52 +++++++++++++++++--------
 1 file changed, 36 insertions(+), 16 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 69a2cef4db..952b81bc32 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -679,7 +679,7 @@ function viewCluster(gc) {
       if(targetGenes == null) continue;
       var targetGeneID = targetGenes[0]; /* TODO: implementation for multiple matching gene IDs */
       var targetGene = genome[1].genes.gene_calls[targetGeneID];
-      genes.push({genome:genome[0],gene:targetGeneID});
+      genes.push({genomeID:genome[0],geneID:targetGeneID});
 
       if(first) {
         geneMid = targetGene.start + (targetGene.stop - targetGene.start) / 2;
@@ -689,21 +689,7 @@ function viewCluster(gc) {
         first = false;
       }
     }
-      var shadow = new fabric.Shadow({
-        color: 'red',
-        blur: 30
-      });
-    var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow' && genes.some(g => g.genome == obj.genomeID && g.gene == obj.geneID));
-    for(arrow of arrows) {
-      arrow.set('shadow', shadow);
-      arrow.animate('shadow.blur', 0, {
-        duration: 3000,
-        onChange: canvas.renderAll.bind(canvas),
-        onComplete: function(){ arrow.shadow = null; },
-        easing: fabric.util.ease['easeInQuad']
-      });
-    }
-    canvas.renderAll();
+    glowGenes(genes);
     return [genome[0], geneMid];
   } else {
     console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
@@ -736,6 +722,40 @@ function getGenesOfGC(genomeID, gc) {
   return targetGenes.length > 0 ? targetGenes : null;
 }
 
+/*
+ *  Add a temporary glow effect around given gene(s).
+ *
+ *  @param geneParams : array of dicts, in one of two formats:
+ *    (1) [{genomeID: gid_1, geneID: [id_1, id_2, ...]}, ...]
+ *    (2) [{genomeID: gid_1, geneID: id_1}, ...]
+ */
+function glowGenes(geneParams) {
+  // convert geneParams format (1) to format (2)
+  if(geneParams[0].geneID.length > 1) {
+    let newParams = [];
+    for(genome of geneParams) {
+      for(gene of genome.geneID) newParams.push({genomeID:genome[0], geneID:gene});
+    }
+    geneParams = newParams;
+  }
+
+  var shadow = new fabric.Shadow({
+    color: 'red',
+    blur: 30
+  });
+  var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow' && geneParams.some(g => g.genomeID == obj.genomeID && g.geneID == obj.geneID));
+  for(arrow of arrows) {
+    arrow.set('shadow', shadow);
+    arrow.animate('shadow.blur', 0, {
+      duration: 3000,
+      onChange: canvas.renderAll.bind(canvas),
+      onComplete: function(){ arrow.shadow = null; },
+      easing: fabric.util.ease['easeInQuad']
+    });
+  }
+  canvas.renderAll();
+}
+
 function setGenomeSpacing(newSpacing) {
   if(isNaN(newSpacing)) return;
   newSpacing = parseInt(newSpacing);

From 95e641a9f9912ba478310a893502e4f495bef064 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 26 Jul 2021 18:35:28 +0000
Subject: [PATCH 0143/1020] default margin/height vals

---
 anvio/data/interactive/genomeview.html  | 1 -
 anvio/data/interactive/js/genomeview.js | 4 ++--
 2 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index bac6bd9d31..e714c43f8f 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -131,7 +131,6 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                         <table id="additionalDataLayersTable" style="margin-bottom: 20px;">
                           <thead>
                             <tr>
-                                <td></td>
                                 <td data-help="layer-name">Name</td>
                                 <td data-help="layer-color"><div style="width: 32px;">Color</div></td>
                                 <td data-help="layer-height">Height</td>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index b4f0d73242..5da431bb52 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1062,8 +1062,8 @@ function buildGenomesTable(genomes, order){
 }
 
 function buildAdditionalDataLayersTable(layerLabel){
-  var height; 
-  var margin; 
+  var height = '50'; 
+  var margin = '25'; 
   var template = '<tr id={layerLabel}>' +
                   '<td> {layerLabel} </td>' +
                   '<td>n/a</td>' +

From c7c55c12ff01a13cfbfade272a82c96246274962 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 26 Jul 2021 13:36:19 -0500
Subject: [PATCH 0144/1020] better format check

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 05d01c099d..11b096e1b0 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -739,7 +739,7 @@ function getGenesOfGC(genomeID, gc) {
  */
 function glowGenes(geneParams) {
   // convert geneParams format (1) to format (2)
-  if(geneParams[0].geneID.length > 1) {
+  if(Array.isArray(geneParams[0].geneID)) {
     let newParams = [];
     for(genome of geneParams) {
       for(gene of genome.geneID) newParams.push({genomeID:genome[0], geneID:gene});

From 060186330dfb927976097cf18f6370f1947d1f33 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 26 Jul 2021 13:38:05 -0500
Subject: [PATCH 0145/1020] fix

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 11b096e1b0..db7da6b269 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -742,7 +742,7 @@ function glowGenes(geneParams) {
   if(Array.isArray(geneParams[0].geneID)) {
     let newParams = [];
     for(genome of geneParams) {
-      for(gene of genome.geneID) newParams.push({genomeID:genome[0], geneID:gene});
+      for(gene of genome.geneID) newParams.push({genomeID:genome.genomeID, geneID:gene});
     }
     geneParams = newParams;
   }

From e2bcafc1fcd337967c7e826dd0e0d4173252be09 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 26 Jul 2021 18:43:28 +0000
Subject: [PATCH 0146/1020] hook in colpicker elements

---
 anvio/data/interactive/genomeview.html  | 4 ++++
 anvio/data/interactive/js/genomeview.js | 2 +-
 2 files changed, 5 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index e714c43f8f..ff4241371a 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -6,6 +6,10 @@
         <meta charset="UTF-8" />
         <link rel="stylesheet" href="lib/bootstrap/dist/css/bootstrap.min.css" />
         <link rel="stylesheet" type="text/css" href="./css/genomeview.css" />
+        
+        <!-- main css file imported for color picker functionality -->
+        <link rel="stylesheet" type="text/css" href="./css/main.css" /> 
+        
         <link rel="shortcut icon" href="#">
         <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
         <script type="text/javascript" src="lib/d3.js/d3.min.js"></script>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 5da431bb52..9f2e0c5672 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1066,7 +1066,7 @@ function buildAdditionalDataLayersTable(layerLabel){
   var margin = '25'; 
   var template = '<tr id={layerLabel}>' +
                   '<td> {layerLabel} </td>' +
-                  '<td>n/a</td>' +
+                  '<td><div id="{layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: #FFFFFF" color="#FFFFFF"></div></td>' +
                   '<td>n/a</td>' +
                   '<td>n/a</td>' +
                   '<td><input class="input-height" type="text" size="3" id="height{id}" value="{height}"></input></td>' +

From 448aba450c3a7b17c5538615419af579647640e1 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 15:37:13 +0000
Subject: [PATCH 0147/1020] show/hide toggle UI

---
 anvio/data/interactive/genomeview.html  | 3 +--
 anvio/data/interactive/js/genomeview.js | 4 ----
 2 files changed, 1 insertion(+), 6 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index ff4241371a..945179d86c 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -139,8 +139,7 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                                 <td data-help="layer-color"><div style="width: 32px;">Color</div></td>
                                 <td data-help="layer-height">Height</td>
                                 <td data-help="layer-margin" class="column-margin">Margin</td>
-                                <td data-help="layer-min">Min</td>
-                                <td data-help="layer-max">Max</td>
+                                <td data-help="layer-min">Show</td>
                             </tr>
                           </thead>
                           <tbody id='tbody_additionalDataLayers'>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index fec51a509e..f71a0afa1d 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1089,10 +1089,6 @@ function buildAdditionalDataLayersTable(layerLabel){
                   '<td><div id="{layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: #FFFFFF" color="#FFFFFF"></div></td>' +
                   '<td>n/a</td>' +
                   '<td>n/a</td>' +
-                  '<td><input class="input-height" type="text" size="3" id="height{id}" value="{height}"></input></td>' +
-                  '<td class="column-margin"><input class="input-margin" type="text" size="3" id="margin{id}" value="{margin}"></input></td>' +
-                  '<td>n/a</td>' +
-                  '<td>n/a</td>' +
                   '<td><input type="checkbox" class="layer_selectors"></input></td>' +
                   '</tr>'; 
   template = template.replace(new RegExp('{height}', 'g'), height)

From 523c6fddc8ce9400043fdab865c2090ba1930ece Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 15:39:58 +0000
Subject: [PATCH 0148/1020] ID for show/hide elements

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index f71a0afa1d..2d8f2f19a9 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1089,7 +1089,7 @@ function buildAdditionalDataLayersTable(layerLabel){
                   '<td><div id="{layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: #FFFFFF" color="#FFFFFF"></div></td>' +
                   '<td>n/a</td>' +
                   '<td>n/a</td>' +
-                  '<td><input type="checkbox" class="layer_selectors"></input></td>' +
+                  '<td><input type="checkbox" class="additional_selectors" id={layerLabel}-show></input></td>' +
                   '</tr>'; 
   template = template.replace(new RegExp('{height}', 'g'), height)
                      .replace(new RegExp('{margin}', 'g'), margin)

From ac288b75b82ff921282698ff20dfd5f3bfed606b Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 15:59:07 +0000
Subject: [PATCH 0149/1020] defer js load

---
 anvio/data/interactive/genomeview.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 945179d86c..b6d8d487f9 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -23,8 +23,8 @@
         <script type="text/javascript" src="lib/jquery-ui/ui/resizable.js"></script>
         <script type="text/javascript" src="lib/jquery-ui/ui/button.js"></script>
         <script type="text/javascript" src="lib/jquery-ui/ui/position.js"></script>
-        <script type="text/javascript" src="./js/genomeview.js"></script>
         <script type="text/javascript" src="./js/constants.js"></script>
+        <script defer type="text/javascript" src="./js/genomeview.js"></script>
 
         <script src="./lib/fabric/dist/fabric.js"></script>
     </head>

From fbefeea2144bc23b2e79c2da7e4581e914d00e2c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 16:14:09 +0000
Subject: [PATCH 0150/1020] listen for ADL toggle event, also defer felt slow
 :/

---
 anvio/data/interactive/genomeview.html  |  2 +-
 anvio/data/interactive/js/genomeview.js | 11 ++++++++---
 2 files changed, 9 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index b6d8d487f9..c7a3dca170 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -24,7 +24,7 @@
         <script type="text/javascript" src="lib/jquery-ui/ui/button.js"></script>
         <script type="text/javascript" src="lib/jquery-ui/ui/position.js"></script>
         <script type="text/javascript" src="./js/constants.js"></script>
-        <script defer type="text/javascript" src="./js/genomeview.js"></script>
+        <script type="text/javascript" src="./js/genomeview.js"></script>
 
         <script src="./lib/fabric/dist/fabric.js"></script>
     </head>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 2d8f2f19a9..33d40a1660 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -140,10 +140,10 @@ function processState(stateName, stateData){
   // working under the assumption that all genome groups with contain the same additional data layers, 
   // we can query the first genome group for specific ADL and go from there
   if(stateData['additional-data-layers'][0]['coverage']){
-    buildAdditionalDataLayersTable('coverage')
+    buildAdditionalDataLayersTable('Coverage')
   }
   if(stateData['additional-data-layers'][0]['gcContent']){
-    buildAdditionalDataLayersTable('GC Content')
+    buildAdditionalDataLayersTable('GC_Content')
   }
   
   if(stateData['genome-order-method']){
@@ -1089,7 +1089,7 @@ function buildAdditionalDataLayersTable(layerLabel){
                   '<td><div id="{layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: #FFFFFF" color="#FFFFFF"></div></td>' +
                   '<td>n/a</td>' +
                   '<td>n/a</td>' +
-                  '<td><input type="checkbox" class="additional_selectors" id={layerLabel}-show></input></td>' +
+                  '<td><input type="checkbox" class="additional_selectors" id={layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>' +
                   '</tr>'; 
   template = template.replace(new RegExp('{height}', 'g'), height)
                      .replace(new RegExp('{margin}', 'g'), margin)
@@ -1097,6 +1097,11 @@ function buildAdditionalDataLayersTable(layerLabel){
   $('#tbody_additionalDataLayers').append(template);
 }
 
+function toggleAdditionalDataLayer(e){
+  console.log(e.target.checked, e.target.id)
+  // TODO need some kind of data store for ADL that can be mutated here and then read by draw() method
+}
+
 function changeGenomeOrder(updatedOrder){
 
   let newGenomeOrder = []

From 85c1e782b8d1b8dc3c8e3a7c05d5b07d48d0deb0 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 17:24:36 +0000
Subject: [PATCH 0151/1020] toggle ADL display as an element of state

---
 anvio/data/interactive/js/genomeview.js | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 33d40a1660..b472ca41c1 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -116,6 +116,8 @@ function processState(stateName, stateData){
     }
   ]
   stateData['additional-data-layers'] = []
+  stateData['display'] = {} 
+  stateData['display']['additionalDataLayers'] = {}
 
   calculateMaxGenomeLength()
 
@@ -1098,8 +1100,14 @@ function buildAdditionalDataLayersTable(layerLabel){
 }
 
 function toggleAdditionalDataLayer(e){
-  console.log(e.target.checked, e.target.id)
-  // TODO need some kind of data store for ADL that can be mutated here and then read by draw() method
+  let layer = e.target.id.split('-')[0]
+
+  if(e.target.checked){
+    stateData['display']['additionalDataLayers'][layer] = true 
+  } else {
+    stateData['display']['additionalDataLayers'][layer] = false
+  }
+  draw()
 }
 
 function changeGenomeOrder(updatedOrder){

From c87e741f64c59445c4475e000e6c95792eaa1991 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 19:31:15 +0000
Subject: [PATCH 0152/1020] max group size as a global var, calculated in
 processState

---
 anvio/data/interactive/js/genomeview.js | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index b472ca41c1..a851d1430c 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -41,6 +41,7 @@
  var scaleInterval = 100; // nt scale intervals
  var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
  var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
+ var maxGroupSize = 1 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer. 
 
  var alignToGC = null;
 
@@ -143,9 +144,11 @@ function processState(stateName, stateData){
   // we can query the first genome group for specific ADL and go from there
   if(stateData['additional-data-layers'][0]['coverage']){
     buildAdditionalDataLayersTable('Coverage')
+    maxGroupSize += 1 // increase group size if coverage layer exists
   }
   if(stateData['additional-data-layers'][0]['gcContent']){
     buildAdditionalDataLayersTable('GC_Content')
+    maxGroupSize += 1 // increase group size if GC layer exists
   }
   
   if(stateData['genome-order-method']){
@@ -1138,10 +1141,10 @@ function calculateMaxGenomeLength(){
 function calculateMainCanvasHeight(){ // to be used for setting vertical spacing
   let optimalLayerHeight = 50 // arbitrary value to be set by us experts ;) 
   let additionalSpacing = 100 // arbitrary additional spacing for ruler(s), cosmetics
-  let maxGroupSize = 1; // default, as each group will always have at minimum a 'genome' layer
-  stateData['additional-data-layers'].map(group => {
-    Object.keys(group).length > maxGroupSize ? maxGroupSize = Object.keys(group).length : null
-  })
+  // let maxGroupSize = 1; // default, as each group will always have at minimum a 'genome' layer
+  // stateData['additional-data-layers'].map(group => {
+  //   Object.keys(group).length > maxGroupSize ? maxGroupSize = Object.keys(group).length : null
+  // })
   let mainCanvasHeight = optimalLayerHeight * maxGroupSize * genomeData.genomes.length + additionalSpacing
   return mainCanvasHeight
 }

From 4561ebd07ca74e3b514716c691a4271bab83d9ed Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 19:37:17 +0000
Subject: [PATCH 0153/1020] recalculate canvas height on draw

---
 anvio/data/interactive/js/genomeview.js | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index a851d1430c..8ab7dcf757 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -174,7 +174,6 @@ function loadAll() {
 
   // Find max length genome
   calculateMaxGenomeLength()
-  canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
 
   var scaleWidth = canvas.getWidth();
   var scaleHeight = 100;
@@ -482,6 +481,8 @@ function draw(scaleX=scaleFactor) {
   labelSpacing = 30 // reset to default value upon each draw() call
   yOffset = 0 // reset 
   var y = 1;
+  canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
+
 
   for(genome of genomeData.genomes) {
     let label = genome[1].genes.gene_calls[0].contig;
@@ -1106,9 +1107,11 @@ function toggleAdditionalDataLayer(e){
   let layer = e.target.id.split('-')[0]
 
   if(e.target.checked){
-    stateData['display']['additionalDataLayers'][layer] = true 
+    stateData['display']['additionalDataLayers'][layer] = true
+    maxGroupSize += 1 
   } else {
     stateData['display']['additionalDataLayers'][layer] = false
+    maxGroupSize -= 1 // decrease group height if hiding the layer
   }
   draw()
 }

From 675a80516f5e3396996bf6b614c5be60fb916850 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 19:43:23 +0000
Subject: [PATCH 0154/1020] will need this later

---
 anvio/data/interactive/js/genomeview.js | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 8ab7dcf757..cfdfa66481 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -101,6 +101,12 @@ function loadState(){
     })
 }
 
+function serializeSettings(){
+  // TODO same process as the serializeSettings() function for anvi-interactive
+  // first we run through all of the UI element default values and store them as state
+  // then we update them as necessary below in processState
+}
+
 function processState(stateName, stateData){
   // set genome order options from state
 
@@ -150,12 +156,12 @@ function processState(stateName, stateData){
     buildAdditionalDataLayersTable('GC_Content')
     maxGroupSize += 1 // increase group size if GC layer exists
   }
-  
   if(stateData['genome-order-method']){
     stateData['genome-order-method'].forEach(orderMethod => {
       $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
     })
   }
+  if(s)
 
   if(stateData['some-data']){
     state['some-data'] = stateData['some-data']

From 50c827450549775b3abf31c0ab43c4d2f3456365 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 19:46:47 +0000
Subject: [PATCH 0155/1020] deprecated

---
 anvio/data/interactive/js/genomeview.js | 10 +---------
 1 file changed, 1 insertion(+), 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index cfdfa66481..63039e0963 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -156,19 +156,11 @@ function processState(stateName, stateData){
     buildAdditionalDataLayersTable('GC_Content')
     maxGroupSize += 1 // increase group size if GC layer exists
   }
-  if(stateData['genome-order-method']){
+  if(stateData.hasOwnProperty('genome-order-method')){
     stateData['genome-order-method'].forEach(orderMethod => {
       $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
     })
   }
-  if(s)
-
-  if(stateData['some-data']){
-    state['some-data'] = stateData['some-data']
-  }
-  if(stateData['some-other-data']){
-    state['some-other-data'] = stateData['some-other-data']
-  }
 }
 
 function loadAll() {

From 9a5feafb9e25a73276d44f74f747168b299f3443 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 19:54:53 +0000
Subject: [PATCH 0156/1020] hook in genome order select

---
 anvio/data/interactive/genomeview.html  | 4 ++++
 anvio/data/interactive/js/genomeview.js | 3 ---
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index c7a3dca170..9fd2b39bf4 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -67,6 +67,10 @@
                               <td>Pan to Gene Cluster: </td>
                               <td><input id="geneClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
                             </tr>
+                            <tr>
+                              <td>Order Method: </td>
+                              <td><select class="type_multiple" id='genome_order_select' style="width: 100px;" class="type"></select></td>
+                            </tr>
                           </tbody>
                         </table>
 
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 63039e0963..cb3dd56145 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -108,9 +108,6 @@ function serializeSettings(){
 }
 
 function processState(stateName, stateData){
-  // set genome order options from state
-
-  // mock data
   stateData['genome-order-method'] = [{
       'name' : 'cats',
       'ordering' : 'some order'

From 32b3750a9fdd845db89e4bcd32567e2c8dd470ac Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 20:05:34 +0000
Subject: [PATCH 0157/1020] cleanup, reorganize

---
 anvio/data/interactive/js/genomeview.js | 87 +++++++++++++++----------
 1 file changed, 54 insertions(+), 33 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index cb3dd56145..3b7cabc893 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -108,55 +108,76 @@ function serializeSettings(){
 }
 
 function processState(stateName, stateData){
-  stateData['genome-order-method'] = [{
-      'name' : 'cats',
-      'ordering' : 'some order'
-    }, {
-      'name' : 'dogs',
-      'ordering' : 'some other order'
-    }, {
-      'name' : 'birds',
-      'ordering' : 'beaks to tails'
-    }
-  ]
-  stateData['additional-data-layers'] = []
-  stateData['display'] = {} 
-  stateData['display']['additionalDataLayers'] = {}
-
+  
   calculateMaxGenomeLength()
-
-  for(let i = 0; i < genomeData.genomes.length; i++){ // generate mock additional data layer content
-    let gcContent = []
-    let coverage = []
-
-    for(let j = 0; j < genomeMax; j++){
-      gcContent.push(Math.floor(Math.random() * 45))
-      coverage.push(Math.floor(Math.random() * 45))
-    }
-    let genomeLabel = Object.keys(genomeData.genomes[i][1]['contigs']['info'])[0];
-    let additionalDataObject = {
-      'genome' : genomeLabel,
-      'coverage' : coverage,
-      'coverage-color' : 'pink',
-      'gcContent' : gcContent,
-      'gcContent-color' : 'purple'
-    }
-    stateData['additional-data-layers'].push(additionalDataObject)
+  
+  if(stateData.hasOwnProperty('additional-data-layers')){
+    // TODO process     
+  } else {
+    stateData['additional-data-layers'] = []
+    generateMockADL()
   }
+  
   // working under the assumption that all genome groups with contain the same additional data layers, 
   // we can query the first genome group for specific ADL and go from there
   if(stateData['additional-data-layers'][0]['coverage']){
     buildAdditionalDataLayersTable('Coverage')
     maxGroupSize += 1 // increase group size if coverage layer exists
   }
+
   if(stateData['additional-data-layers'][0]['gcContent']){
     buildAdditionalDataLayersTable('GC_Content')
     maxGroupSize += 1 // increase group size if GC layer exists
   }
+
   if(stateData.hasOwnProperty('genome-order-method')){
     stateData['genome-order-method'].forEach(orderMethod => {
       $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
     })
+  } else {
+    generateMockGenomeOrder()
+    stateData['genome-order-method'].forEach(orderMethod => {
+      $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
+    })
+  }
+  if(stateData.hasOwnProperty('display')){
+    // TODO process
+  } else {
+    stateData['display'] = {} 
+    stateData['display']['additionalDataLayers'] = {}
+  }
+
+  function generateMockADL(){
+    for(let i = 0; i < genomeData.genomes.length; i++){ // generate mock additional data layer content
+      let gcContent = []
+      let coverage = []
+  
+      for(let j = 0; j < genomeMax; j++){
+        gcContent.push(Math.floor(Math.random() * 45))
+        coverage.push(Math.floor(Math.random() * 45))
+      }
+      let genomeLabel = Object.keys(genomeData.genomes[i][1]['contigs']['info'])[0];
+      let additionalDataObject = {
+        'genome' : genomeLabel,
+        'coverage' : coverage,
+        'coverage-color' : 'pink',
+        'gcContent' : gcContent,
+        'gcContent-color' : 'purple'
+      }
+      stateData['additional-data-layers'].push(additionalDataObject)
+    }
+  }
+  function generateMockGenomeOrder(){
+    stateData['genome-order-method'] = [{
+        'name' : 'cats',
+        'ordering' : 'some order'
+      }, {
+        'name' : 'dogs',
+        'ordering' : 'some other order'
+      }, {
+        'name' : 'birds',
+        'ordering' : 'beaks to tails'
+    }]
   }
 }
 

From 2fe09cf1c254a265084d5973ef8e1a62e2da5c38 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 20:10:57 +0000
Subject: [PATCH 0158/1020] o hello bookmarks

---
 anvio/data/interactive/js/genomeview.js | 24 ++++++++++++++++++++++++
 1 file changed, 24 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 3b7cabc893..529acba79e 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -140,12 +140,36 @@ function processState(stateName, stateData){
       $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
     })
   }
+
   if(stateData.hasOwnProperty('display')){
     // TODO process
   } else {
     stateData['display'] = {} 
     stateData['display']['additionalDataLayers'] = {}
   }
+  if(stateData['display'].hasOwnProperty('bookmarks')){
+    // map over and render to settings pane
+  } else {
+    stateData['display']['bookmarks'] = [ // gen mock data 
+      {
+        name : 'marky mark',
+        start : '5000',
+        stop : '9000'
+      },
+      {
+        name : 'marklemore',
+        start : '15000',
+        stop : '19000'
+      },
+      {
+        name : 'my beautiful cluster',
+        start : '25000',
+        stop : '29000'
+      },
+    ]
+    // map over and render to settings
+  }
+  
 
   function generateMockADL(){
     for(let i = 0; i < genomeData.genomes.length; i++){ // generate mock additional data layer content

From af76053b799bff31495cb8729772d6a8a5377bbb Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 20:19:56 +0000
Subject: [PATCH 0159/1020] new select for bookmarks

---
 anvio/data/interactive/genomeview.html | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 9fd2b39bf4..fa4e4cd821 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -41,6 +41,7 @@
               <button id="zoom-in" onclick="zoomIn()" style="float:right; margin-right:5px">+</button>
               <input type="text" class="form-control input-sm" id="brush_start" style= "width: 60px; float:left; margin-right:10px" value="0"></input>
               <input type="text" class="form-control input-sm" id="brush_end" style= "width: 60px; float:left" value="0"></input>
+              <select id='bookmarks-select' style= "width: 60px; float:left; margin-left:10px"></select>
             </div>
             <div id='tooltip-body' display='none'></div>
 

From 8398b3046693052262b9a2de759a3d10104c7b30 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 20:26:47 +0000
Subject: [PATCH 0160/1020] dynamically render bookmarks in select, listen for
 change

---
 anvio/data/interactive/genomeview.html  |  4 +++-
 anvio/data/interactive/js/genomeview.js | 14 ++++++++++++--
 2 files changed, 15 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index fa4e4cd821..8a4b35f3d7 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -41,7 +41,9 @@
               <button id="zoom-in" onclick="zoomIn()" style="float:right; margin-right:5px">+</button>
               <input type="text" class="form-control input-sm" id="brush_start" style= "width: 60px; float:left; margin-right:10px" value="0"></input>
               <input type="text" class="form-control input-sm" id="brush_end" style= "width: 60px; float:left" value="0"></input>
-              <select id='bookmarks-select' style= "width: 60px; float:left; margin-left:10px"></select>
+              <select id='bookmarks-select' style= "width: 120px; float:left; margin-left:10px">
+                <option selected="true" disabled="disabled">Bookmarks</option>  
+              </select>
             </div>
             <div id='tooltip-body' display='none'></div>
 
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 529acba79e..bebb810950 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -148,7 +148,12 @@ function processState(stateName, stateData){
     stateData['display']['additionalDataLayers'] = {}
   }
   if(stateData['display'].hasOwnProperty('bookmarks')){
-    // map over and render to settings pane
+    stateData['display']['bookmarks'].map(bookmark => {
+      $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
+    })
+    $('#bookmarks-select').change(function(){
+      console.log($(this).val());
+    })
   } else {
     stateData['display']['bookmarks'] = [ // gen mock data 
       {
@@ -167,7 +172,12 @@ function processState(stateName, stateData){
         stop : '29000'
       },
     ]
-    // map over and render to settings
+    stateData['display']['bookmarks'].map(bookmark => {
+      $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
+    })
+    $('#bookmarks-select').change(function(){
+      console.log($(this).val());
+    })
   }
   
 

From 73f3f107814275701ee1974eebbef93fb968e4fe Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 21:13:38 +0000
Subject: [PATCH 0161/1020] responsive shift in scale from bookmark select

---
 anvio/data/interactive/js/genomeview.js | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index bebb810950..6f2e7f8c0a 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -176,7 +176,13 @@ function processState(stateName, stateData){
       $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
     })
     $('#bookmarks-select').change(function(){
-      console.log($(this).val());
+      let [start, stop] = [$(this).val().split(',')[0], $(this).val().split(',')[1] ]
+      $('#brush_start').val(start);
+      $('#brush_end').val(stop);
+      brush.extent([start, stop]);
+          brush(d3.select(".brush").transition());
+          brush.event(d3.select(".brush").transition());
+    
     })
   }
   

From 461691514c2e84d43e969a4ca0ebff0dc7f40b4c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 27 Jul 2021 21:14:14 +0000
Subject: [PATCH 0162/1020] cleanup

---
 anvio/data/interactive/js/genomeview.js | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 6f2e7f8c0a..10674e5ac2 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -181,8 +181,7 @@ function processState(stateName, stateData){
       $('#brush_end').val(stop);
       brush.extent([start, stop]);
           brush(d3.select(".brush").transition());
-          brush.event(d3.select(".brush").transition());
-    
+          brush.event(d3.select(".brush").transition());   
     })
   }
   

From e4bc5f70af42fded5345d505b1f75b16e02f449e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 28 Jul 2021 16:13:14 +0000
Subject: [PATCH 0163/1020] 'new bookmark' ui, process bookmarks to state

---
 anvio/data/interactive/genomeview.html  | 11 +++++++++++
 anvio/data/interactive/js/genomeview.js | 15 +++++++++++++++
 2 files changed, 26 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 8a4b35f3d7..0fa06778a1 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -170,6 +170,17 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                             </tr>
                           </tbody>
                         </table>
+                        <span class="settings-header">Bookmarks</span>
+                        <table id="bookmarksTable" style="margin-bottom: 20px;">
+                          <tbody>
+                            <tr id="create_bookmark">
+                              <td><input id="create_bookmark_input" class="form-control input-sm" type="text" placeholder="New bookmark title" style="margin-bottom: 15px;"  size="4"></td>
+                            <tr id="show_scale">
+                              <td style="float: right"><button onclick='createBookmark()'>New Bookmark from Current Position</button></td>
+                            </tr>
+                            </tr>
+                          </tbody>
+                        </table>
 
                         <span class="settings-header">Gene arrows</span>
                         <p class="settings-section-info">Change colors of genes based on their functional annotations. You can also manually color genes temporarily. First, right-click on a gene. It will add the gene into the list below with a default color. Then, you can use the color picker next to it to set a color manually.</p>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 10674e5ac2..94c80a6067 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1238,6 +1238,21 @@ function updateScalePos() {
   $('#brush_end').val(newEnd);
 }
 
+function createBookmark(){
+  if(!$('#create_bookmark_input').val()){
+    alert('please provide a name for your bookmark :)')
+    return 
+  }
+
+  stateData['display']['bookmarks'].push(
+    {
+      name : $('#create_bookmark_input').val(), 
+      start : $('#brush_start').val(), 
+      stop : $('#brush_end').val(), 
+    }
+  )
+}
+
 var fixHelperModified = function(e, tr) { // ripped from utils.js instead of importing the whole file
   var $originals = tr.children();
   var $helper = tr.clone();

From 00becc36c12decbfc9baeb58a0a9c28e92006458 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 28 Jul 2021 16:26:29 +0000
Subject: [PATCH 0164/1020] deprecated

---
 anvio/data/interactive/js/genomeview.js | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 94c80a6067..0f97223c40 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1199,10 +1199,6 @@ function calculateMaxGenomeLength(){
 function calculateMainCanvasHeight(){ // to be used for setting vertical spacing
   let optimalLayerHeight = 50 // arbitrary value to be set by us experts ;) 
   let additionalSpacing = 100 // arbitrary additional spacing for ruler(s), cosmetics
-  // let maxGroupSize = 1; // default, as each group will always have at minimum a 'genome' layer
-  // stateData['additional-data-layers'].map(group => {
-  //   Object.keys(group).length > maxGroupSize ? maxGroupSize = Object.keys(group).length : null
-  // })
   let mainCanvasHeight = optimalLayerHeight * maxGroupSize * genomeData.genomes.length + additionalSpacing
   return mainCanvasHeight
 }
@@ -1243,7 +1239,7 @@ function createBookmark(){
     alert('please provide a name for your bookmark :)')
     return 
   }
-
+  
   stateData['display']['bookmarks'].push(
     {
       name : $('#create_bookmark_input').val(), 

From c368b99c9cb2572eac8437c13bedde2485e6395b Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 28 Jul 2021 16:28:41 +0000
Subject: [PATCH 0165/1020] cleanup

---
 anvio/data/interactive/js/genomeview.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 0f97223c40..274af1aab2 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1172,7 +1172,6 @@ function toggleAdditionalDataLayer(e){
 }
 
 function changeGenomeOrder(updatedOrder){
-
   let newGenomeOrder = []
   updatedOrder.map(label => {
     genomeData.genomes.map(genome => {

From 37b085019f2867b66774b52ec19013e2ba245aab Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 28 Jul 2021 11:42:20 -0500
Subject: [PATCH 0166/1020] add individual scale rulers, fix margin top

---
 anvio/data/interactive/js/genomeview.js | 91 +++++++++++++++++++------
 1 file changed, 69 insertions(+), 22 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 94c80a6067..23a0f1e2b1 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -31,6 +31,7 @@
  var mainCanvasHeight; 
  var spacing = 50; // vertical spacing between genomes
  var yOffset = 0 // vertical space between additional data layers
+ var marginTop = 20; // vertical margin at the top of the genome display
  var xDisplacement = 0; // x-offset of genome start, activated if genome labels are shown
  var showLabels = true; // show genome labels?
  var genomeLabelSize = 15; // font size of genome labels
@@ -41,7 +42,7 @@
  var scaleInterval = 100; // nt scale intervals
  var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
  var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
- var maxGroupSize = 1 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer. 
+ var maxGroupSize = 2 // used to calculate group height. base of 2 as each group will contain at minimum a genome layer and scale ruler.
 
  var alignToGC = null;
 
@@ -130,6 +131,11 @@ function processState(stateName, stateData){
     maxGroupSize += 1 // increase group size if GC layer exists
   }
 
+  if(stateData['additional-data-layers'][0]['ruler']) {
+    buildAdditionalDataLayersTable('Genome Ruler')
+    // don't increase group size for ruler since it requires less space
+  }
+
   if(stateData.hasOwnProperty('genome-order-method')){
     stateData['genome-order-method'].forEach(orderMethod => {
       $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
@@ -201,7 +207,8 @@ function processState(stateName, stateData){
         'coverage' : coverage,
         'coverage-color' : 'pink',
         'gcContent' : gcContent,
-        'gcContent-color' : 'purple'
+        'gcContent-color' : 'purple',
+        'ruler' : true // TODO: store any genome-specific scale data here
       }
       stateData['additional-data-layers'].push(additionalDataObject)
     }
@@ -323,7 +330,8 @@ function loadAll() {
   })
 
   if(showGeneLabels && arrowStyle != 3) {
-    spacing = 150; // TODO maybe we refactor this out into a setSpacing() method for clarity?
+    marginTop = 60;
+    spacing = 200; // TODO maybe we refactor this out into a setSpacing() method for clarity?
     $("#genome_spacing").val(spacing);
   }
 
@@ -535,7 +543,7 @@ function draw(scaleX=scaleFactor) {
   canvas.clear()
   labelSpacing = 30 // reset to default value upon each draw() call
   yOffset = 0 // reset 
-  var y = 1;
+  var y = marginTop;
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
 
 
@@ -545,11 +553,11 @@ function draw(scaleX=scaleFactor) {
     addGenome(label, genome[1].genes.gene_calls, genome[0], y, scaleX=scaleX)
     addLayers(label, genome[1], genome[0])
     labelSpacing += 30
-    y++;
+    y+=spacing;
   }
-  drawScale(y);
-  drawTestShades();
+  //drawScale(y);
   checkGeneLabels();
+  drawTestShades();
 }
 
 function drawScale(y, scaleX=scaleFactor) {
@@ -557,7 +565,7 @@ function drawScale(y, scaleX=scaleFactor) {
 
   for(var w = 0; w < genomeMax; w+=scaleInterval) {
     canvas.add(new fabric.Line([0,0,0,20], {left: (w*scaleX+xDisplacement),
-          top: y*(spacing),
+          top: y,
           stroke: 'black',
           strokeWidth: 1,
           fontSize: 10,
@@ -565,7 +573,7 @@ function drawScale(y, scaleX=scaleFactor) {
           selectable: false}));
 
     canvas.add(new fabric.Text(w/1000 + " kB", {left: (w*scaleX+5+xDisplacement),
-          top: y*(spacing),
+          top: y,
           stroke: 'black',
           strokeWidth: .25,
           fontSize: 15,
@@ -574,12 +582,12 @@ function drawScale(y, scaleX=scaleFactor) {
   }
 
   canvas.add(new fabric.Line([0,0,100,0], {left: xDisplacement,
-        top: y*(1.25*spacing)-4,
+        top: (1.25*y)-4,
         stroke: 'black',
         strokeWidth: 2,
         selectable: false}));
   canvas.add(new fabric.Text("100 nts", {left: (15+xDisplacement),
-        top: y*(1.25*spacing)-4,
+        top: (1.25*y)-4,
         stroke: 'black',
         strokeWidth: 1,
         fontSize: 20,
@@ -631,11 +639,11 @@ function zoomOut() {
  *
  *  @param geneClusters : array of GC IDs to be shaded
  *  @param colors       : dict defining color of each shade, in the form {geneClusterID : hexColor}
- *  @param y            : y-position of first genome
  */
-function shadeGeneClusters(geneClusters, colors, y) {
+function shadeGeneClusters(geneClusters, colors) {
   if(!genomeData.gene_associations["anvio-pangenome"]) return;
 
+  let y = marginTop;
   for(var i = 0; i < genomeData.genomes.length-1; i++) {
     let genomeA = genomeData.genomes[i][1].genes.gene_calls;
     let genomeB = genomeData.genomes[i+1][1].genes.gene_calls;
@@ -672,7 +680,7 @@ function shadeGeneClusters(geneClusters, colors, y) {
  *  Temporary function for testing shades.
  */
 function drawTestShades() {
-  shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"},spacing);
+  shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"});
 }
 
 /*
@@ -871,7 +879,7 @@ function setGenomeLabelSize(newSize) {
 
 function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1) {
   if(showLabels) {
-    canvas.add(new fabric.Text(genomeLabel, {top: spacing*y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
+    canvas.add(new fabric.Text(genomeLabel, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
   }
 
   // line
@@ -879,11 +887,12 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1) {
         id: 'genomeLine',
         groupID: genomeID,
         left: xDisplacement,
-        top: spacing*y + 4,
+        top: y + 4,
         stroke: 'black',
         strokeWidth: 2,
         lockMovementY: true,
         hasControls: false,
+        hasBorders: false,
         lockScaling: true});
   canvas.add(lineObj);
 
@@ -907,7 +916,7 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1) {
 
       if(arrowStyle == 3) {
         label.set({
-          top: -5+spacing*y,
+          top: y-5,
           left: xDisplacement+(gene.start+50)*scaleX,
           scaleX: 0.5,
           scaleY: 0.5,
@@ -917,7 +926,7 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1) {
         label.set({
           scaleX: 0.5,
           scaleY: 0.5,
-          top: -30+spacing*y,
+          top: y-30,
           left: xDisplacement+(gene.start+50)*scaleX,
           angle: -10,
           selectionColor:'rgba(128,128,128,.2)'
@@ -936,9 +945,43 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     }
   })
 
+  if(additionalDataLayers['ruler']) {
+    let startingTop = marginTop + yOffset + 30
+    let startingLeft = xDisps[genomeID]
+
+    let ruler = new fabric.Group();
+    for(let w = 0; w < genomeMax; w+=scaleInterval) {
+      let tick = new fabric.Line([0,0,0,20], {left: (w*scaleFactor),
+            stroke: 'black',
+            strokeWidth: 1,
+            fontSize: 10,
+            fontFamily: 'sans-serif'});
+      let lbl = new fabric.Text(w/1000 + " kB", {left: (w*scaleFactor+5),
+            stroke: 'black',
+            strokeWidth: .25,
+            fontSize: 15,
+            fontFamily: 'sans-serif'});
+      ruler.add(tick);
+      ruler.add(lbl);
+    }
+    ruler.set({
+      left: startingLeft,
+      top: startingTop,
+      lockMovementY: true,
+      hasControls: false,
+      hasBorders: false,
+      lockScaling: true,
+      objectCaching: false,
+      groupID: genomeID
+    });
+    ruler.addWithUpdate();
+    canvas.renderAll();
+    canvas.add(ruler);
+  }
+
   if(additionalDataLayers['coverage']){
     let maxCoverageValue = 0
-    let startingTop = 180 + yOffset
+    let startingTop = marginTop + yOffset + 60
     let startingLeft = xDisps[genomeID]
     let layerHeight = 50
     let pathDirective = [`M 0 0`]
@@ -962,6 +1005,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       fill : '', //additionalDataLayers['coverage-color'] ? additionalDataLayers['coverage-color'] : 'black',
       lockMovementY: true,
       hasControls: false,
+      hasBorders: false,
       lockScaling: true,
       id : 'coverage graph', 
       groupID : genomeID,
@@ -972,7 +1016,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
 
   if(additionalDataLayers['gcContent']){
     let maxGCValue = 0
-    let startingTop = 240 + yOffset
+    let startingTop = marginTop + yOffset + 120
     let startingLeft = xDisps[genomeID]
     let layerHeight = 50
     let pathDirective = [`M 0 0`]
@@ -996,6 +1040,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
       lockMovementY: true,
       hasControls: false,
+      hasBorders: false,
       lockScaling: true,
       id : 'gcContent graph', 
       groupID : genomeID,
@@ -1003,7 +1048,8 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     })
     canvas.bringToFront(graphObj)
   } 
-  yOffset += 150
+
+  yOffset += spacing
 }
 
 function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {
@@ -1059,11 +1105,12 @@ function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {
     groupID: genomeID,
     lockMovementY: true,
     hasControls: false,
+    hasBorders: false,
     lockScaling: true,
     gene: gene,
     geneID: geneID,
     genomeID: genomeID,
-    top: style == 3 ? -17+spacing*y : -11+spacing*y,
+    top: style == 3 ? y-17 : y-11,
     left: xDisplacement + (1.5+gene.start)*scaleX,
     fill: color,
     stroke: 'gray',

From ca68030ec3c36e3580b0c0e8f6d94d8c97ac3056 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 28 Jul 2021 20:52:34 -0500
Subject: [PATCH 0167/1020] add option to align genome scales to a given gene
 cluster

---
 anvio/data/interactive/genomeview.html  |  6 ++-
 anvio/data/interactive/js/genomeview.js | 50 +++++++++++++++++--------
 2 files changed, 40 insertions(+), 16 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 0fa06778a1..6a565c1e0d 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -66,9 +66,13 @@
                               <td>Plot scale:</td>
                               <td><input type="text" class="form-control input-sm" id="plot_scale" value="(TODO)"></td>
                             </tr>
+                            <tr>
+                              <td>Align to Gene Cluster: </td>
+                              <td><input id="alignClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
+                            </tr>
                             <tr>
                               <td>Pan to Gene Cluster: </td>
-                              <td><input id="geneClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
+                              <td><input id="panClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
                             </tr>
                             <tr>
                               <td>Order Method: </td>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 23a0f1e2b1..3e10aa1568 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -109,7 +109,6 @@ function serializeSettings(){
 }
 
 function processState(stateName, stateData){
-  
   calculateMaxGenomeLength()
   
   if(stateData.hasOwnProperty('additional-data-layers')){
@@ -417,7 +416,7 @@ function loadAll() {
 
     if(opt.target.id == 'genomeLine') canvas.sendToBack(opt.target);
     if(this.shades) {
-      canvas.getObjects().filter(obj => obj.id == 'link').forEach((l) => { canvas.remove(l) });
+      clearShades();
       this.shades = false;
     }
 
@@ -455,7 +454,13 @@ function loadAll() {
     $('#brush_end').val(newEnd);
   });
 
-  $('#geneClusterInput').on('keydown', function(e) {
+  $('#alignClusterInput').on('keydown', function(e) {
+    if(e.keyCode == 13) { // 13 = enter key
+      alignToCluster($(this).val());
+      $(this).blur();
+    }
+  });
+  $('#panClusterInput').on('keydown', function(e) {
     if(e.keyCode == 13) { // 13 = enter key
       viewCluster($(this).val());
       $(this).blur();
@@ -676,6 +681,13 @@ function shadeGeneClusters(geneClusters, colors) {
   }
 }
 
+/*
+ *  Clear all gene links from the canvas.
+ */
+function clearShades() {
+  canvas.getObjects().filter(obj => obj.id == 'link').forEach((l) => { canvas.remove(l) });
+}
+
 /*
  *  Temporary function for testing shades.
  */
@@ -710,24 +722,31 @@ function checkGeneLabels() {
 
 /*
  *  Shift genomes horizontally to align genes around the target gene cluster.
- *  TODO: finish implementation and add to settings panel
  *
  *  @param gc : target gene cluster ID
  */
 function alignToCluster(gc) {
   if(!genomeData.gene_associations["anvio-pangenome"]) return;
 
-  var [firstGenomeID, targetGeneMid] = viewCluster(gc);
+  let [firstGenomeID, targetGeneMid] = viewCluster(gc);
   if(firstGenomeID != null) {
     alignToGC = gc;
-
     let index = genomeData.genomes.findIndex(g => g[0] == firstGenomeID);
     for(var i = index+1; i < genomeData.genomes.length; i++) {
-      let geneMids = getGenePosForGenome(i, alignToGC);
+      let genomeID = genomeData.genomes[i][0];
+      let geneMids = getGenePosForGenome(genomeData.genomes[i][0], alignToGC);
       if(geneMids == null) continue;
-      var geneMid = geneMids[0]; /* TODO: implementation for multiple matching gene IDs */
-      var shift = targetGeneMid - geneMid;
-      // TODO: shift the current genome by 'shift'
+      let geneMid = geneMids[0]; /* TODO: implementation for multiple matching gene IDs */
+      let shift = scaleFactor * (targetGeneMid - geneMid) + (xDisps[firstGenomeID] - xDisps[genomeID]);
+      let gid = genomeData.genomes[i][0];
+      let objs = canvas.getObjects().filter(obj => obj.groupID == gid);
+      for(o of objs) o.left += shift;
+      xDisps[genomeID] += shift;
+      canvas.setViewportTransform(canvas.viewportTransform);
+
+      // clear and redraw shades
+      clearShades();
+      drawTestShades();
     }
   } else {
     console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
@@ -746,9 +765,10 @@ function alignToCluster(gc) {
 function viewCluster(gc) {
   if(!genomeData.gene_associations["anvio-pangenome"]) return;
 
-  var genes = [];
-  var geneMid;
-  var first = true;
+  let genes = [];
+  let geneMid;
+  let first = true;
+  let firstGenomeID;
 
   if(!gc || gc in genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"]) {
     for(genome of genomeData.genomes) {
@@ -764,10 +784,11 @@ function viewCluster(gc) {
       canvas.viewportTransform[4] = clamp(canvas.viewportTransform[4], canvas.getWidth() - genomeMax*scaleFactor - xDisplacement - 125, 125);
       updateScalePos();
         first = false;
+        firstGenomeID = genome[0];
       }
     }
     glowGenes(genes);
-    return [genome[0], geneMid];
+    return (first ? null : [firstGenomeID, geneMid]);
   } else {
     console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
   return null;
@@ -975,7 +996,6 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       groupID: genomeID
     });
     ruler.addWithUpdate();
-    canvas.renderAll();
     canvas.add(ruler);
   }
 

From 709cc009a13d58595aa41f8632bff006d47bc454 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 29 Jul 2021 14:51:52 +0000
Subject: [PATCH 0168/1020] same behavior if loaded from state

---
 anvio/data/interactive/js/genomeview.js | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 67d4721c3d..f4ce787955 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -157,7 +157,12 @@ function processState(stateName, stateData){
       $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
     })
     $('#bookmarks-select').change(function(){
-      console.log($(this).val());
+      let [start, stop] = [$(this).val().split(',')[0], $(this).val().split(',')[1] ]
+      $('#brush_start').val(start);
+      $('#brush_end').val(stop);
+      brush.extent([start, stop]);
+          brush(d3.select(".brush").transition());
+          brush.event(d3.select(".brush").transition());   
     })
   } else {
     stateData['display']['bookmarks'] = [ // gen mock data 

From 1a2173f88bea2e8cf566320a04835d85cf09313e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 29 Jul 2021 15:12:22 +0000
Subject: [PATCH 0169/1020] ADL draw responds to show/hide checkbox UI

---
 anvio/data/interactive/js/genomeview.js | 138 +++++++++++++-----------
 1 file changed, 73 insertions(+), 65 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index f4ce787955..035e955791 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1005,76 +1005,84 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
   }
 
   if(additionalDataLayers['coverage']){
-    let maxCoverageValue = 0
-    let startingTop = marginTop + yOffset + 60
-    let startingLeft = xDisps[genomeID]
-    let layerHeight = 50
-    let pathDirective = [`M 0 0`]
-
-    for(let i = 0; i < additionalDataLayers['coverage'].length; i++){
-      additionalDataLayers['coverage'][i] > maxCoverageValue ? maxCoverageValue = additionalDataLayers['coverage'][i] : null 
-    }
-
-    for(let i = 0; i < 1000; i++){
-      let left = i * scaleFactor
-      let top = [additionalDataLayers['coverage'][i] / maxCoverageValue] * layerHeight
-      let segment = `L ${left} ${top}`
-      pathDirective.push(segment)
+    if(!$('#Coverage-show').is(':checked')){
+      // do nothing, but don't return out of the function
+    } else {
+      let maxCoverageValue = 0
+      let startingTop = marginTop + yOffset + 60
+      let startingLeft = xDisps[genomeID]
+      let layerHeight = 50
+      let pathDirective = [`M 0 0`]
+  
+      for(let i = 0; i < additionalDataLayers['coverage'].length; i++){
+        additionalDataLayers['coverage'][i] > maxCoverageValue ? maxCoverageValue = additionalDataLayers['coverage'][i] : null 
+      }
+  
+      for(let i = 0; i < 1000; i++){
+        let left = i * scaleFactor
+        let top = [additionalDataLayers['coverage'][i] / maxCoverageValue] * layerHeight
+        let segment = `L ${left} ${top}`
+        pathDirective.push(segment)
+      }
+  
+      let graphObj = new fabric.Path(pathDirective.join(' '))
+      graphObj.set({
+        top : startingTop,
+        left : startingLeft,
+        stroke : additionalDataLayers['coverage-color'] ? additionalDataLayers['coverage-color'] : 'black',
+        fill : '', //additionalDataLayers['coverage-color'] ? additionalDataLayers['coverage-color'] : 'black',
+        lockMovementY: true,
+        hasControls: false,
+        hasBorders: false,
+        lockScaling: true,
+        id : 'coverage graph', 
+        groupID : genomeID,
+        genome : additionalDataLayers['genome']
+      })
+      canvas.bringToFront(graphObj)
     }
-
-    let graphObj = new fabric.Path(pathDirective.join(' '))
-    graphObj.set({
-      top : startingTop,
-      left : startingLeft,
-      stroke : additionalDataLayers['coverage-color'] ? additionalDataLayers['coverage-color'] : 'black',
-      fill : '', //additionalDataLayers['coverage-color'] ? additionalDataLayers['coverage-color'] : 'black',
-      lockMovementY: true,
-      hasControls: false,
-      hasBorders: false,
-      lockScaling: true,
-      id : 'coverage graph', 
-      groupID : genomeID,
-      genome : additionalDataLayers['genome']
-    })
-    canvas.bringToFront(graphObj)
   } 
 
   if(additionalDataLayers['gcContent']){
-    let maxGCValue = 0
-    let startingTop = marginTop + yOffset + 120
-    let startingLeft = xDisps[genomeID]
-    let layerHeight = 50
-    let pathDirective = [`M 0 0`]
-
-    for(let i = 0; i < additionalDataLayers['gcContent'].length; i++){ 
-      additionalDataLayers['gcContent'][i] > maxGCValue ? maxGCValue = additionalDataLayers['gcContent'][i] : null 
-    }
-
-    for(let i = 0; i < 1000; i++){ // 
-      let left = i * scaleFactor
-      let top = [additionalDataLayers['gcContent'][i] / maxGCValue] * layerHeight
-      let segment = `L ${left} ${top}`
-      pathDirective.push(segment)
+    if(!$('#GC_Content-show').is(':checked')){
+      // do nothing, but don't return out of the function
+    } else {
+      let maxGCValue = 0
+      let startingTop = marginTop + yOffset + 120
+      let startingLeft = xDisps[genomeID]
+      let layerHeight = 50
+      let pathDirective = [`M 0 0`]
+  
+      for(let i = 0; i < additionalDataLayers['gcContent'].length; i++){ 
+        additionalDataLayers['gcContent'][i] > maxGCValue ? maxGCValue = additionalDataLayers['gcContent'][i] : null 
+      }
+  
+      for(let i = 0; i < 1000; i++){ // 
+        let left = i * scaleFactor
+        let top = [additionalDataLayers['gcContent'][i] / maxGCValue] * layerHeight
+        let segment = `L ${left} ${top}`
+        pathDirective.push(segment)
+      }
+      
+      let graphObj = new fabric.Path(pathDirective.join(' '))
+      graphObj.set({
+        top : startingTop,
+        left : startingLeft,
+        stroke : additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
+        fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
+        lockMovementY: true,
+        hasControls: false,
+        hasBorders: false,
+        lockScaling: true,
+        id : 'gcContent graph', 
+        groupID : genomeID,
+        genome : additionalDataLayers['genome']
+      })
+      canvas.bringToFront(graphObj)
+    } 
+  
+    yOffset += spacing
     }
-    
-    let graphObj = new fabric.Path(pathDirective.join(' '))
-    graphObj.set({
-      top : startingTop,
-      left : startingLeft,
-      stroke : additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
-      fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
-      lockMovementY: true,
-      hasControls: false,
-      hasBorders: false,
-      lockScaling: true,
-      id : 'gcContent graph', 
-      groupID : genomeID,
-      genome : additionalDataLayers['genome']
-    })
-    canvas.bringToFront(graphObj)
-  } 
-
-  yOffset += spacing
 }
 
 function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {

From 778bfdff56f12fd5e74d17a04586e1d451df4acc Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 29 Jul 2021 15:33:23 +0000
Subject: [PATCH 0170/1020] swap variables

---
 anvio/data/interactive/js/genomeview.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 035e955791..099f6a8205 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1277,6 +1277,7 @@ function calculateMaxGenomeLength(){
 
 function calculateMainCanvasHeight(){ // to be used for setting vertical spacing
   let optimalLayerHeight = 50 // arbitrary value to be set by us experts ;) 
+  // TODO global var spacing should be used here instead of optimalLayerHeight
   let additionalSpacing = 100 // arbitrary additional spacing for ruler(s), cosmetics
   let mainCanvasHeight = optimalLayerHeight * maxGroupSize * genomeData.genomes.length + additionalSpacing
   return mainCanvasHeight

From ca55f9a28ea1dae79c249d5f09caedcc89180af0 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 29 Jul 2021 17:32:47 +0000
Subject: [PATCH 0171/1020] try object caching for ADL graphs

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 099f6a8205..fb841556ca 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -997,7 +997,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       hasControls: false,
       hasBorders: false,
       lockScaling: true,
-      objectCaching: false,
+      objectCaching: false, // TODO implement for ADL graphs
       groupID: genomeID
     });
     ruler.addWithUpdate();

From c2bc9fa5dfbabd999aadcf48d11c228643d96465 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 29 Jul 2021 13:10:19 -0500
Subject: [PATCH 0172/1020] remove redundancy

---
 anvio/data/interactive/js/genomeview.js | 11 +++++------
 1 file changed, 5 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index fb841556ca..f7b84c5491 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -131,7 +131,7 @@ function processState(stateName, stateData){
   }
 
   if(stateData['additional-data-layers'][0]['ruler']) {
-    buildAdditionalDataLayersTable('Genome Ruler')
+    buildAdditionalDataLayersTable('Ruler')
     // don't increase group size for ruler since it requires less space
   }
 
@@ -738,15 +738,14 @@ function alignToCluster(gc) {
     alignToGC = gc;
     let index = genomeData.genomes.findIndex(g => g[0] == firstGenomeID);
     for(var i = index+1; i < genomeData.genomes.length; i++) {
-      let genomeID = genomeData.genomes[i][0];
+      let gid = genomeData.genomes[i][0];
       let geneMids = getGenePosForGenome(genomeData.genomes[i][0], alignToGC);
       if(geneMids == null) continue;
       let geneMid = geneMids[0]; /* TODO: implementation for multiple matching gene IDs */
-      let shift = scaleFactor * (targetGeneMid - geneMid) + (xDisps[firstGenomeID] - xDisps[genomeID]);
-      let gid = genomeData.genomes[i][0];
+      let shift = scaleFactor * (targetGeneMid - geneMid) + (xDisps[firstGenomeID] - xDisps[gid]);
       let objs = canvas.getObjects().filter(obj => obj.groupID == gid);
       for(o of objs) o.left += shift;
-      xDisps[genomeID] += shift;
+      xDisps[gid] += shift;
       canvas.setViewportTransform(canvas.viewportTransform);
 
       // clear and redraw shades
@@ -971,7 +970,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     }
   })
 
-  if(additionalDataLayers['ruler']) {
+  if(additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
     let startingTop = marginTop + yOffset + 30
     let startingLeft = xDisps[genomeID]
 

From 9ee5d08288d109afa3d12bdb68eb991e6e3f465d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 29 Jul 2021 18:51:50 +0000
Subject: [PATCH 0173/1020] smarter check, good call isaac ;)

---
 anvio/data/interactive/js/genomeview.js | 12 ++----------
 1 file changed, 2 insertions(+), 10 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index f7b84c5491..316855bc58 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1003,10 +1003,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     canvas.add(ruler);
   }
 
-  if(additionalDataLayers['coverage']){
-    if(!$('#Coverage-show').is(':checked')){
-      // do nothing, but don't return out of the function
-    } else {
+  if(additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
       let maxCoverageValue = 0
       let startingTop = marginTop + yOffset + 60
       let startingLeft = xDisps[genomeID]
@@ -1039,13 +1036,9 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
         genome : additionalDataLayers['genome']
       })
       canvas.bringToFront(graphObj)
-    }
   } 
 
-  if(additionalDataLayers['gcContent']){
-    if(!$('#GC_Content-show').is(':checked')){
-      // do nothing, but don't return out of the function
-    } else {
+  if(additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
       let maxGCValue = 0
       let startingTop = marginTop + yOffset + 120
       let startingLeft = xDisps[genomeID]
@@ -1081,7 +1074,6 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     } 
   
     yOffset += spacing
-    }
 }
 
 function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {

From e206d12078cac8f7315ee662afea384e07e3122b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 29 Jul 2021 17:34:15 -0500
Subject: [PATCH 0174/1020] ruler shouldn't count in maxGroupSize; fix null
 error

---
 anvio/data/interactive/js/genomeview.js | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 316855bc58..9ea5b1e1b0 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -42,7 +42,7 @@
  var scaleInterval = 100; // nt scale intervals
  var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
  var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
- var maxGroupSize = 2 // used to calculate group height. base of 2 as each group will contain at minimum a genome layer and scale ruler.
+ var maxGroupSize = 1 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer.
 
  var alignToGC = null;
 
@@ -733,7 +733,9 @@ function checkGeneLabels() {
 function alignToCluster(gc) {
   if(!genomeData.gene_associations["anvio-pangenome"]) return;
 
-  let [firstGenomeID, targetGeneMid] = viewCluster(gc);
+  let targetGeneInfo = viewCluster(gc);
+  if(targetGeneInfo == null) return;
+  let [firstGenomeID, targetGeneMid] = targetGeneInfo;
   if(firstGenomeID != null) {
     alignToGC = gc;
     let index = genomeData.genomes.findIndex(g => g[0] == firstGenomeID);
@@ -752,10 +754,7 @@ function alignToCluster(gc) {
       clearShades();
       drawTestShades();
     }
-  } else {
-    console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
   }
-  // draw();
     }
 
 /*

From 71e71f24947687f4fbf83c6f8bc4a747833fe585 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 29 Jul 2021 18:45:28 -0500
Subject: [PATCH 0175/1020] add option for gene label position

---
 anvio/data/interactive/genomeview.html  | 25 +++++++++++++++----------
 anvio/data/interactive/js/genomeview.js | 24 +++++++++++++-----------
 2 files changed, 28 insertions(+), 21 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 6a565c1e0d..d6753c0977 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -221,18 +221,13 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                             </select>
                           </div>
                         </div>
-                        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
-                          <label id="shade_by_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="shade_by" data-original-title="" title="">Shade by:</label>
-                          <div class="col-md-8">
                             <select id="shade_by" style="margin-bottom: 10px" class="form-control input-xs">
                               <option value=1>Gene Cluster</option>
                               <option value=2>COG Category</option>
                               <option value=3>KEGG Category</option>
                               <option value=4>Custom</option>
                             </select>
-                          </div>
-                        </div>
-                        <p>TODO: Color table for shades</p>
+                        <p>TODO: Color table for shades (with opacity option too?)</p>
 
                         <span class="settings-header">Labels</span>
                         <table id="labels-table" style="margin-bottom: 20px;">
@@ -243,11 +238,11 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                             </tr>
                             <tr>
                               <td>Genome label size:</td>
-                              <td><input type="text" class="form-control input-sm" id="genome_label" value="15"></td>
+                              <td><input type="text" class="form-control input-sm" id="genome_label" value="15" style="margin-bottom: 10px"></td>
                             </tr>
                             <tr>
                               <td>Genome label color:</td>
-                              <td><div class="colorpicker" id="genome_label_color" color="#008000" style="background-color: #008000"></div></td>
+                              <td><div class="colorpicker" id="genome_label_color" color="#000000" style="background-color: #000000; margin-bottom: 10px"></div></td>
                             </tr>
                             <tr id="show_gene_labels">
                               <td>Show gene labels</td>
@@ -255,11 +250,21 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                             </tr>
                             <tr>
                               <td>Gene label size:</td>
-                              <td><input type="text" class="form-control input-sm" id="gene_label" value="40"></td>
+                              <td><input type="text" class="form-control input-sm" id="gene_label" value="40" style="margin-bottom: 10px"></td>
                             </tr>
                             <tr>
                               <td>Gene label color:</td>
-                              <td><div class="colorpicker" id="gene_label_color" color="#008000" style="background-color: #008000"></div></td>
+                              <td><div class="colorpicker" id="gene_label_color" color="#000000" style="background-color: #000000; margin-bottom: 10px"></div></td>
+                            </tr>
+                            <tr>
+                              <td>Gene label position:</td>
+                              <td><div class="col-md-8">
+                                <select id="gene_text_pos" style="margin-bottom: 10px; margin-left: 0px" class="form-control input-xs">
+                                  <option value='above'>Above</option>
+                                  <option value='slanted'>Slanted</option>
+                                  <option value='inside'>Inside</option>
+                                </select>
+                              </div></td>
                             </tr>
                           </tbody>
                         </table>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 9ea5b1e1b0..1016e923a4 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -36,7 +36,8 @@
  var showLabels = true; // show genome labels?
  var genomeLabelSize = 15; // font size of genome labels
  var showGeneLabels = true; // show gene labels?
- var geneLabelSize = 40; // font size of gene labels
+ var geneLabelSize = 40; // gene label font size
+ var geneLabelPos = "above"; // gene label position; one of "above", "slanted", "inside"
  var labelSpacing = 30;  // spacing default for genomeLabel canvas
  var showScale = true; // show nt scale?
  var scaleInterval = 100; // nt scale intervals
@@ -419,7 +420,7 @@ function loadAll() {
     var gid = opt.target ? opt.target.groupID : null;
     if(gid == null) return;
 
-    if(opt.target.id == 'genomeLine') canvas.sendToBack(opt.target);
+    if(opt.target.id == 'genomeLine' || (opt.target.id == 'arrow' && arrowStyle == 3)) canvas.sendBackwards(opt.target);
     if(this.shades) {
       clearShades();
       this.shades = false;
@@ -510,6 +511,11 @@ function loadAll() {
       draw();
       $(this).blur();
   });
+  $('#gene_text_pos').on('change', function() {
+      geneLabelPos = $(this).val();
+      if(!(geneLabelPos == "inside" && arrowStyle != 3)) draw();
+      $(this).blur();
+  });
   $('#show_genome_labels_box').on('change', function() {
     showLabels = !showLabels;
     xDisplacement = showLabels ? 120 : 0;
@@ -931,28 +937,24 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1) {
         id: 'geneLabel',
         groupID: genomeID,
         fontSize: geneLabelSize,
+        angle: geneLabelPos == "slanted" ? -10 : 0,
+        left: xDisps[genomeID]+(gene.start+50)*scaleX,
+        scaleX: 0.5,
+        scaleY: 0.5,
         hasControls: false,
         lockMovementX: true,
         lockMovementY: true,
         lockScaling: true,
         hoverCursor: 'text'
       });
-
       if(arrowStyle == 3) {
         label.set({
-          top: y-5,
-          left: xDisplacement+(gene.start+50)*scaleX,
-          scaleX: 0.5,
-          scaleY: 0.5,
+          top: geneLabelPos == "inside" ? y-5 : y-30,
           selectionColor:'rgba(128,128,128,.5)'
         });
       } else {
         label.set({
-          scaleX: 0.5,
-          scaleY: 0.5,
           top: y-30,
-          left: xDisplacement+(gene.start+50)*scaleX,
-          angle: -10,
           selectionColor:'rgba(128,128,128,.2)'
         });
       }

From b796dbe8b4ebbbb261bdcac92e9f71498d818e59 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 29 Jul 2021 19:06:49 -0500
Subject: [PATCH 0176/1020] fix

---
 anvio/data/interactive/js/genomeview.js | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 1016e923a4..9c27c245e3 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -789,8 +789,8 @@ function viewCluster(gc) {
 
       if(first) {
         geneMid = targetGene.start + (targetGene.stop - targetGene.start) / 2;
-      canvas.absolutePan({x: scaleFactor*geneMid + xDisplacement - canvas.getWidth()/2, y: 0});
-      canvas.viewportTransform[4] = clamp(canvas.viewportTransform[4], canvas.getWidth() - genomeMax*scaleFactor - xDisplacement - 125, 125);
+      canvas.absolutePan({x: scaleFactor*geneMid + xDisps[genome[0]] - canvas.getWidth()/2, y: 0});
+      canvas.viewportTransform[4] = clamp(canvas.viewportTransform[4], canvas.getWidth() - genomeMax*scaleFactor - xDisps[genome[0]] - 125, 125);
       updateScalePos();
         first = false;
         firstGenomeID = genome[0];
@@ -916,7 +916,7 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1) {
   let lineObj = new fabric.Line([0,0,genomeMax*scaleX,0], {
         id: 'genomeLine',
         groupID: genomeID,
-        left: xDisplacement,
+        left: xDisps[genomeID],
         top: y + 4,
         stroke: 'black',
         strokeWidth: 2,
@@ -1136,7 +1136,7 @@ function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {
     geneID: geneID,
     genomeID: genomeID,
     top: style == 3 ? y-17 : y-11,
-    left: xDisplacement + (1.5+gene.start)*scaleX,
+    left: xDisps[genomeID] + (1.5+gene.start)*scaleX,
     fill: color,
     stroke: 'gray',
     strokeWidth: style == 3 ? 3 : 1.5

From 9cb180a4e1405f760bb14a5a86f1bc9dfb2d8cac Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 29 Jul 2021 19:08:29 -0500
Subject: [PATCH 0177/1020] deprecated

---
 anvio/data/interactive/genomeview.html  |  4 ---
 anvio/data/interactive/js/genomeview.js | 43 +------------------------
 2 files changed, 1 insertion(+), 46 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index d6753c0977..164c986af6 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -160,10 +160,6 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                         <span class="settings-header">Scale</span>
                         <table id="scaleTable" style="margin-bottom: 20px;">
                           <tbody>
-                            <tr id="show_scale">
-                              <td>Show scale</td>
-                              <td style="float: right"><div style="width: 20px;"><input id="show_scale_box" type="checkbox" class="layer_selectors"></div></td>
-                            </tr>
                             <tr id="dynamic_scale">
                               <td>Dynamic scale interval</td>
                               <td style="float: right"><div style="width: 20px;"><input id="show_dynamic_scale_box" type="checkbox" class="layer_selectors"></div></td>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 9c27c245e3..6d9dc41310 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -39,7 +39,6 @@
  var geneLabelSize = 40; // gene label font size
  var geneLabelPos = "above"; // gene label position; one of "above", "slanted", "inside"
  var labelSpacing = 30;  // spacing default for genomeLabel canvas
- var showScale = true; // show nt scale?
  var scaleInterval = 100; // nt scale intervals
  var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
  var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
@@ -312,7 +311,6 @@ function loadAll() {
   $('#tooltip-body').hide() // set initual tooltip hide value
   $('#show_genome_labels_box').attr("checked", showLabels);
   $('#show_gene_labels_box').attr("checked", showGeneLabels);
-  $('#show_scale_box').attr("checked", showScale);
   $('#show_dynamic_scale_box').attr("checked", dynamicScaleInterval);
 
   // can either set arrow click listener on the canvas to check for all arrows, or when arrow is created.
@@ -526,10 +524,6 @@ function loadAll() {
     showGeneLabels = !showGeneLabels;
     draw();
   });
-  $('#show_scale_box').on('change', function() {
-    showScale = !showScale;
-    draw();
-  });
   $('#show_dynamic_scale_box').on('change', function() {
     dynamicScaleInterval = !dynamicScaleInterval;
   });
@@ -571,46 +565,11 @@ function draw(scaleX=scaleFactor) {
     labelSpacing += 30
     y+=spacing;
   }
-  //drawScale(y);
+
   checkGeneLabels();
   drawTestShades();
 }
 
-function drawScale(y, scaleX=scaleFactor) {
-  if(!showScale) return;
-
-  for(var w = 0; w < genomeMax; w+=scaleInterval) {
-    canvas.add(new fabric.Line([0,0,0,20], {left: (w*scaleX+xDisplacement),
-          top: y,
-          stroke: 'black',
-          strokeWidth: 1,
-          fontSize: 10,
-          fontFamily: 'sans-serif',
-          selectable: false}));
-
-    canvas.add(new fabric.Text(w/1000 + " kB", {left: (w*scaleX+5+xDisplacement),
-          top: y,
-          stroke: 'black',
-          strokeWidth: .25,
-          fontSize: 15,
-          fontFamily: 'sans-serif',
-          selectable: false}));
-  }
-
-  canvas.add(new fabric.Line([0,0,100,0], {left: xDisplacement,
-        top: (1.25*y)-4,
-        stroke: 'black',
-        strokeWidth: 2,
-        selectable: false}));
-  canvas.add(new fabric.Text("100 nts", {left: (15+xDisplacement),
-        top: (1.25*y)-4,
-        stroke: 'black',
-        strokeWidth: 1,
-        fontSize: 20,
-        fontFamily: 'sans-serif',
-        selectable: false}));
-}
-
 function zoomIn() {
   let start = parseInt($('#brush_start').val()), end = parseInt($('#brush_end').val());
   let newStart, newEnd;

From 6084865db0fdf79896f466fff5d4a2850640b24f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 30 Jul 2021 16:54:18 +0000
Subject: [PATCH 0178/1020] object caching for ADL hooked in

---
 anvio/data/interactive/js/genomeview.js | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 6d9dc41310..0d2e1965f2 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -956,7 +956,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       hasControls: false,
       hasBorders: false,
       lockScaling: true,
-      objectCaching: false, // TODO implement for ADL graphs
+      objectCaching: false, 
       groupID: genomeID
     });
     ruler.addWithUpdate();
@@ -991,6 +991,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
         hasControls: false,
         hasBorders: false,
         lockScaling: true,
+        objectCaching: false,
         id : 'coverage graph', 
         groupID : genomeID,
         genome : additionalDataLayers['genome']
@@ -1026,6 +1027,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
         hasControls: false,
         hasBorders: false,
         lockScaling: true,
+        objectCaching: false,
         id : 'gcContent graph', 
         groupID : genomeID,
         genome : additionalDataLayers['genome']

From a6e6b93f72693268ed69c2750d19b9272ddb9c44 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 30 Jul 2021 17:00:29 +0000
Subject: [PATCH 0179/1020] render ADL for entire sequence. yay obj caching!

---
 anvio/data/interactive/js/genomeview.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 0d2e1965f2..475a8772cd 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -974,7 +974,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
         additionalDataLayers['coverage'][i] > maxCoverageValue ? maxCoverageValue = additionalDataLayers['coverage'][i] : null 
       }
   
-      for(let i = 0; i < 1000; i++){
+      for(let i = 0; i < genomeMax; i++){
         let left = i * scaleFactor
         let top = [additionalDataLayers['coverage'][i] / maxCoverageValue] * layerHeight
         let segment = `L ${left} ${top}`
@@ -1010,7 +1010,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
         additionalDataLayers['gcContent'][i] > maxGCValue ? maxGCValue = additionalDataLayers['gcContent'][i] : null 
       }
   
-      for(let i = 0; i < 1000; i++){ // 
+      for(let i = 0; i < genomeMax; i++){ // 
         let left = i * scaleFactor
         let top = [additionalDataLayers['gcContent'][i] / maxGCValue] * layerHeight
         let segment = `L ${left} ${top}`

From 8629bc54b5c85879b5246d71786eec1f95ec8312 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 31 Jul 2021 13:04:25 -0500
Subject: [PATCH 0180/1020] split ADLs into multiple objects to increase
 performance

---
 anvio/data/interactive/js/genomeview.js | 38 +++++++++++++++++--------
 1 file changed, 26 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 475a8772cd..64a2140b29 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -934,8 +934,12 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     let startingTop = marginTop + yOffset + 30
     let startingLeft = xDisps[genomeID]
 
+    // split ruler into several objects to avoid performance cost of large object pixel size
+    let nRulers = 20;
+    let w = 0;
+    for(let i = 0; i < nRulers; i++) {
     let ruler = new fabric.Group();
-    for(let w = 0; w < genomeMax; w+=scaleInterval) {
+      for(; w < (i+1)*genomeMax/nRulers; w+=scaleInterval) {
       let tick = new fabric.Line([0,0,0,20], {left: (w*scaleFactor),
             stroke: 'black',
             strokeWidth: 1,
@@ -948,7 +952,6 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
             fontFamily: 'sans-serif'});
       ruler.add(tick);
       ruler.add(lbl);
-    }
     ruler.set({
       left: startingLeft,
       top: startingTop,
@@ -959,10 +962,13 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       objectCaching: false, 
       groupID: genomeID
     });
+      }
     ruler.addWithUpdate();
     canvas.add(ruler);
   }
+  }
 
+  // TODO: refactor these into an 'addContinuousData() function?'
   if(additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
       let maxCoverageValue = 0
       let startingTop = marginTop + yOffset + 60
@@ -974,17 +980,20 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
         additionalDataLayers['coverage'][i] > maxCoverageValue ? maxCoverageValue = additionalDataLayers['coverage'][i] : null 
       }
   
-      for(let i = 0; i < genomeMax; i++){
-        let left = i * scaleFactor
-        let top = [additionalDataLayers['coverage'][i] / maxCoverageValue] * layerHeight
+      // Too few groups or too many groups will reduce performance due to large object size or large # of objects, respectively
+      // Will have to experiment with different values of 'nGroups' to find the sweet spot
+      let nGroups = 20
+      let j = 0
+      for(let i = 0; i < nGroups; i++) {
+        for(; j < i*genomeMax/nGroups; j++){
+          let left = j * scaleFactor + startingLeft
+          let top = [additionalDataLayers['coverage'][j] / maxCoverageValue] * layerHeight
         let segment = `L ${left} ${top}`
         pathDirective.push(segment)
       }
-  
       let graphObj = new fabric.Path(pathDirective.join(' '))
       graphObj.set({
         top : startingTop,
-        left : startingLeft,
         stroke : additionalDataLayers['coverage-color'] ? additionalDataLayers['coverage-color'] : 'black',
         fill : '', //additionalDataLayers['coverage-color'] ? additionalDataLayers['coverage-color'] : 'black',
         lockMovementY: true,
@@ -997,6 +1006,8 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
         genome : additionalDataLayers['genome']
       })
       canvas.bringToFront(graphObj)
+        pathDirective = []
+      }
   } 
 
   if(additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
@@ -1010,17 +1021,18 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
         additionalDataLayers['gcContent'][i] > maxGCValue ? maxGCValue = additionalDataLayers['gcContent'][i] : null 
       }
   
-      for(let i = 0; i < genomeMax; i++){ // 
-        let left = i * scaleFactor
-        let top = [additionalDataLayers['gcContent'][i] / maxGCValue] * layerHeight
+      let nGroups = 20
+      let j = 0
+      for(let i = 0; i < nGroups; i++) {
+        for(; j < i*genomeMax/nGroups; j++){
+          let left = j * scaleFactor + startingLeft
+          let top = [additionalDataLayers['gcContent'][j] / maxGCValue] * layerHeight
         let segment = `L ${left} ${top}`
         pathDirective.push(segment)
       }
-      
       let graphObj = new fabric.Path(pathDirective.join(' '))
       graphObj.set({
         top : startingTop,
-        left : startingLeft,
         stroke : additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
         fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
         lockMovementY: true,
@@ -1033,6 +1045,8 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
         genome : additionalDataLayers['genome']
       })
       canvas.bringToFront(graphObj)
+        pathDirective = []
+      }
     } 
   
     yOffset += spacing

From a820e9cae7c7b5bcdb1bfb8e37e39613afc746fc Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 2 Aug 2021 15:07:50 +0000
Subject: [PATCH 0181/1020] min group size == 2 (genome + ruler)

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 64a2140b29..f5167bb9cc 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -42,7 +42,7 @@
  var scaleInterval = 100; // nt scale intervals
  var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
  var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
- var maxGroupSize = 1 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer.
+ var maxGroupSize = 2 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer + group ruler.
 
  var alignToGC = null;
 

From 10783987c6753ee2fca60115da5127279ab6ea09 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 2 Aug 2021 15:33:58 +0000
Subject: [PATCH 0182/1020] closer to correct ADL dynamic sizing

---
 anvio/data/interactive/js/genomeview.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index f5167bb9cc..b2e6e0384b 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -973,7 +973,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       let maxCoverageValue = 0
       let startingTop = marginTop + yOffset + 60
       let startingLeft = xDisps[genomeID]
-      let layerHeight = 50
+      let layerHeight = spacing / maxGroupSize
       let pathDirective = [`M 0 0`]
   
       for(let i = 0; i < additionalDataLayers['coverage'].length; i++){
@@ -1014,7 +1014,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       let maxGCValue = 0
       let startingTop = marginTop + yOffset + 120
       let startingLeft = xDisps[genomeID]
-      let layerHeight = 50
+      let layerHeight = spacing / maxGroupSize
       let pathDirective = [`M 0 0`]
   
       for(let i = 0; i < additionalDataLayers['gcContent'].length; i++){ 

From bfccb4dbc4c8be02c1a4c1e9f24eb8f18a90baac Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 2 Aug 2021 15:58:58 +0000
Subject: [PATCH 0183/1020] bookmark for entire seq view

---
 anvio/data/interactive/js/genomeview.js | 12 +++++++++---
 1 file changed, 9 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index b2e6e0384b..e437d0d400 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -165,19 +165,25 @@ function processState(stateName, stateData){
           brush.event(d3.select(".brush").transition());   
     })
   } else {
+    calculateMaxGenomeLength() // remove later, only here to set max length for bookmark
     stateData['display']['bookmarks'] = [ // gen mock data 
       {
-        name : 'marky mark',
+        name : 'entire seq',
+        start : '0', 
+        stop : genomeMax
+      },
+      {
+        name : 'shindig',
         start : '5000',
         stop : '9000'
       },
       {
-        name : 'marklemore',
+        name : 'fiesta',
         start : '15000',
         stop : '19000'
       },
       {
-        name : 'my beautiful cluster',
+        name : 'party',
         start : '25000',
         stop : '29000'
       },

From fb0a804069ab6ffa5de8a810b30af1366f10728e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 2 Aug 2021 15:20:02 -0500
Subject: [PATCH 0184/1020] subsample to X data points for numeric layers

---
 anvio/data/interactive/js/genomeview.js | 18 ++++++++++++++++--
 1 file changed, 16 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index e437d0d400..efaa3563d7 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -41,6 +41,7 @@
  var labelSpacing = 30;  // spacing default for genomeLabel canvas
  var scaleInterval = 100; // nt scale intervals
  var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
+ var adlPtsPerLayer = 10000; // number of data points to be subsampled per ADL. TODO: more meaningful default?
  var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
  var maxGroupSize = 2 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer + group ruler.
 
@@ -828,6 +829,17 @@ function glowGenes(geneParams) {
   canvas.renderAll();
 }
 
+function setPtsPerADL(newResolution) {
+  if(isNaN(newResolution)) return;
+  newResolution = parseInt(newResolution);
+  if(newResolution < 0 || newResolution > genomeMax) {
+    alert(`Invalid value, genome spacing must be in range 0-.` + genomeMax);
+    return;
+  }
+  adlPtsPerLayer = newResolution;
+  draw();
+}
+
 function setGenomeSpacing(newSpacing) {
   if(isNaN(newSpacing)) return;
   newSpacing = parseInt(newSpacing);
@@ -936,6 +948,8 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     }
   })
 
+  let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
+
   if(additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
     let startingTop = marginTop + yOffset + 30
     let startingLeft = xDisps[genomeID]
@@ -991,7 +1005,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       let nGroups = 20
       let j = 0
       for(let i = 0; i < nGroups; i++) {
-        for(; j < i*genomeMax/nGroups; j++){
+        for(; j < i*genomeMax/nGroups; j+=ptInterval){
           let left = j * scaleFactor + startingLeft
           let top = [additionalDataLayers['coverage'][j] / maxCoverageValue] * layerHeight
         let segment = `L ${left} ${top}`
@@ -1030,7 +1044,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       let nGroups = 20
       let j = 0
       for(let i = 0; i < nGroups; i++) {
-        for(; j < i*genomeMax/nGroups; j++){
+        for(; j < i*genomeMax/nGroups; j+=ptInterval){
           let left = j * scaleFactor + startingLeft
           let top = [additionalDataLayers['gcContent'][j] / maxGCValue] * layerHeight
         let segment = `L ${left} ${top}`

From 3a47066ca28f3a518e4b071b168d05e7e590d68b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 2 Aug 2021 15:33:30 -0500
Subject: [PATCH 0185/1020] add option to change # pts per numeric layer to
 settings panel

---
 anvio/data/interactive/genomeview.html  | 11 +++++++++++
 anvio/data/interactive/js/genomeview.js |  9 +++++++++
 2 files changed, 20 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 164c986af6..ba85f8ba1d 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -156,6 +156,17 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                           <tbody id='tbody_additionalDataLayers'>
                           </tbody>
                         </table>
+                        <table id="adlCustomizationTable" style="margin-bottom: 20px;">
+                          <tbody>
+                            <tr>
+                              <td>Display up to N data points for numeric layers: N = </td>
+                              <td><input id="adl_pts_per_layer" class="form-control input-sm" type="text" value="10000" size="6"></td>
+                            </tr>
+                            <tr>
+                              <td><button id="showAllADLPtsBtn" type="button" class="btn btn-primary btn-xs" onclick="showAllADLPts()" class="btn btn-outline-primary">Show all data points</button></td>
+                            </tr>
+                          </tbody>
+                        </table>
                         
                         <span class="settings-header">Scale</span>
                         <table id="scaleTable" style="margin-bottom: 20px;">
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index efaa3563d7..21bda50387 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -534,6 +534,10 @@ function loadAll() {
   $('#show_dynamic_scale_box').on('change', function() {
     dynamicScaleInterval = !dynamicScaleInterval;
   });
+  $('#adl_pts_per_layer').on('change', function() {
+    setPtsPerADL($(this).val());
+    $(this).blur();
+  });
   $('#brush_start, #brush_end').keydown(function(ev) {
       if (ev.which == 13) { // enter key
           let start = parseInt($('#brush_start').val());
@@ -840,6 +844,11 @@ function setPtsPerADL(newResolution) {
   draw();
 }
 
+function showAllADLPts() {
+  setPtsPerADL(genomeMax);
+  $('#showAllADLPtsBtn').blur();
+}
+
 function setGenomeSpacing(newSpacing) {
   if(isNaN(newSpacing)) return;
   newSpacing = parseInt(newSpacing);

From 7b66c94613053404d652e1c7a3a74a1d2436764e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 2 Aug 2021 16:09:49 -0500
Subject: [PATCH 0186/1020] fix

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 21bda50387..52d7665a8b 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -837,7 +837,7 @@ function setPtsPerADL(newResolution) {
   if(isNaN(newResolution)) return;
   newResolution = parseInt(newResolution);
   if(newResolution < 0 || newResolution > genomeMax) {
-    alert(`Invalid value, genome spacing must be in range 0-.` + genomeMax);
+    alert(`Invalid value, genome spacing must be in range 0-${genomeMax}.`);
     return;
   }
   adlPtsPerLayer = newResolution;

From dfdae1f03041ba8f55c0e61ff87f4ef21042d0ed Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 3 Aug 2021 15:08:38 +0000
Subject: [PATCH 0187/1020] hook in bookmark description UI + logic

---
 anvio/data/interactive/genomeview.html  |  3 +++
 anvio/data/interactive/js/genomeview.js | 15 ++++++++++-----
 2 files changed, 13 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index ba85f8ba1d..6455ed9953 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -186,6 +186,9 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                           <tbody>
                             <tr id="create_bookmark">
                               <td><input id="create_bookmark_input" class="form-control input-sm" type="text" placeholder="New bookmark title" style="margin-bottom: 15px;"  size="4"></td>
+                            <tr id="show_scale">
+                              <td><textarea id="create_bookmark_description" class="form-control input-sm" type="text" placeholder="New bookmark description" style="margin-bottom: 15px; height: 85px;"  size="8"></textarea></td>
+                            </tr>
                             <tr id="show_scale">
                               <td style="float: right"><button onclick='createBookmark()'>New Bookmark from Current Position</button></td>
                             </tr>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 52d7665a8b..adb4dcf042 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -171,22 +171,26 @@ function processState(stateName, stateData){
       {
         name : 'entire seq',
         start : '0', 
-        stop : genomeMax
+        stop : genomeMax,
+        description : ''
       },
       {
         name : 'shindig',
         start : '5000',
-        stop : '9000'
+        stop : '9000', 
+        description : ''
       },
       {
         name : 'fiesta',
         start : '15000',
-        stop : '19000'
+        stop : '19000', 
+        description : ''
       },
       {
         name : 'party',
         start : '25000',
-        stop : '29000'
+        stop : '29000', 
+        description : ''
       },
     ]
     stateData['display']['bookmarks'].map(bookmark => {
@@ -1320,7 +1324,8 @@ function createBookmark(){
     {
       name : $('#create_bookmark_input').val(), 
       start : $('#brush_start').val(), 
-      stop : $('#brush_end').val(), 
+      stop : $('#brush_end').val(),
+      description : $('#create_bookmark_description').val(),  
     }
   )
 }

From fa63a7226dad4c4b6f5bde4f422cf27c38800666 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 3 Aug 2021 15:09:36 +0000
Subject: [PATCH 0188/1020] commenting code for future me :)

---
 anvio/data/interactive/js/genomeview.js | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index adb4dcf042..40400c6186 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1314,6 +1314,9 @@ function updateScalePos() {
   $('#brush_end').val(newEnd);
 }
 
+/*
+ *  capture user bookmark values and store obj in state
+ */
 function createBookmark(){
   if(!$('#create_bookmark_input').val()){
     alert('please provide a name for your bookmark :)')

From 9b2f80ae52c8fc746cbc89e0bbfef634fc7b741d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 3 Aug 2021 15:38:02 +0000
Subject: [PATCH 0189/1020] fix for settings panel cutoff

---
 anvio/data/interactive/css/genomeview.css | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index ecda432362..fce92fd7f8 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -83,7 +83,7 @@ g.scale rect.background{
     background: url('../images/fractal.jpg') center center scroll;
     border-left: 1px solid #D3D3D3;
     opacity: 0.9;
-    width: 420px;
+    width: 530px;
     padding: 20px;
     font-family: "Helvetica Neue",Helvetica,Arial,sans-serif;
     overflow-y: scroll;

From 696838b2dff558d735c7bd46ae30151e03b73165 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 4 Aug 2021 15:28:13 +0000
Subject: [PATCH 0190/1020] refactor numerical data layer build

---
 anvio/data/interactive/js/genomeview.js | 118 +++++++++---------------
 1 file changed, 43 insertions(+), 75 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 40400c6186..0f211dbacc 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1003,88 +1003,56 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
 
   // TODO: refactor these into an 'addContinuousData() function?'
   if(additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
-      let maxCoverageValue = 0
-      let startingTop = marginTop + yOffset + 60
-      let startingLeft = xDisps[genomeID]
-      let layerHeight = spacing / maxGroupSize
-      let pathDirective = [`M 0 0`]
-  
-      for(let i = 0; i < additionalDataLayers['coverage'].length; i++){
-        additionalDataLayers['coverage'][i] > maxCoverageValue ? maxCoverageValue = additionalDataLayers['coverage'][i] : null 
-      }
-  
-      // Too few groups or too many groups will reduce performance due to large object size or large # of objects, respectively
-      // Will have to experiment with different values of 'nGroups' to find the sweet spot
-      let nGroups = 20
-      let j = 0
-      for(let i = 0; i < nGroups; i++) {
-        for(; j < i*genomeMax/nGroups; j+=ptInterval){
-          let left = j * scaleFactor + startingLeft
-          let top = [additionalDataLayers['coverage'][j] / maxCoverageValue] * layerHeight
-        let segment = `L ${left} ${top}`
-        pathDirective.push(segment)
-      }
-      let graphObj = new fabric.Path(pathDirective.join(' '))
-      graphObj.set({
-        top : startingTop,
-        stroke : additionalDataLayers['coverage-color'] ? additionalDataLayers['coverage-color'] : 'black',
-        fill : '', //additionalDataLayers['coverage-color'] ? additionalDataLayers['coverage-color'] : 'black',
-        lockMovementY: true,
-        hasControls: false,
-        hasBorders: false,
-        lockScaling: true,
-        objectCaching: false,
-        id : 'coverage graph', 
-        groupID : genomeID,
-        genome : additionalDataLayers['genome']
-      })
-      canvas.bringToFront(graphObj)
-        pathDirective = []
-      }
+    buildNumericalDataLayer('coverage', 60, genomeID, additionalDataLayers, ptInterval, 'pink')
   } 
 
   if(additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
-      let maxGCValue = 0
-      let startingTop = marginTop + yOffset + 120
-      let startingLeft = xDisps[genomeID]
-      let layerHeight = spacing / maxGroupSize
-      let pathDirective = [`M 0 0`]
-  
-      for(let i = 0; i < additionalDataLayers['gcContent'].length; i++){ 
-        additionalDataLayers['gcContent'][i] > maxGCValue ? maxGCValue = additionalDataLayers['gcContent'][i] : null 
-      }
-  
-      let nGroups = 20
-      let j = 0
-      for(let i = 0; i < nGroups; i++) {
-        for(; j < i*genomeMax/nGroups; j+=ptInterval){
-          let left = j * scaleFactor + startingLeft
-          let top = [additionalDataLayers['gcContent'][j] / maxGCValue] * layerHeight
-        let segment = `L ${left} ${top}`
-        pathDirective.push(segment)
-      }
-      let graphObj = new fabric.Path(pathDirective.join(' '))
-      graphObj.set({
-        top : startingTop,
-        stroke : additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
-        fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
-        lockMovementY: true,
-        hasControls: false,
-        hasBorders: false,
-        lockScaling: true,
-        objectCaching: false,
-        id : 'gcContent graph', 
-        groupID : genomeID,
-        genome : additionalDataLayers['genome']
-      })
-      canvas.bringToFront(graphObj)
-        pathDirective = []
-      }
-    } 
+    buildNumericalDataLayer('gcContent', 120, genomeID, additionalDataLayers, ptInterval, 'purple')
+  } 
   
     yOffset += spacing
 }
 
+function buildNumericalDataLayer(layer, margin, genomeID, additionalDataLayers, ptInterval, defaultColor){
+    console.log(additionalDataLayers);
+    let maxGCValue = 0
+    let startingTop = marginTop + yOffset + margin
+    let startingLeft = xDisps[genomeID]
+    let layerHeight = spacing / maxGroupSize
+    let pathDirective = [`M 0 0`]
+
+    for(let i = 0; i < additionalDataLayers[layer].length; i++){ 
+      additionalDataLayers[layer][i] > maxGCValue ? maxGCValue = additionalDataLayers[layer][i] : null 
+    }
+
+    let nGroups = 20
+    let j = 0
+    for(let i = 0; i < nGroups; i++) {
+      for(; j < i*genomeMax/nGroups; j+=ptInterval){
+        let left = j * scaleFactor + startingLeft
+        let top = [additionalDataLayers[layer][j] / maxGCValue] * layerHeight
+      let segment = `L ${left} ${top}`
+      pathDirective.push(segment)
+    }
+    let graphObj = new fabric.Path(pathDirective.join(' '))
+    graphObj.set({
+      top : startingTop,
+      stroke : additionalDataLayers[layer] ? additionalDataLayers[`${layer}-color`] : defaultColor,
+      fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
+      lockMovementY: true,
+      hasControls: false,
+      hasBorders: false,
+      lockScaling: true,
+      objectCaching: false,
+      id : `${layer} graph`, 
+      groupID : genomeID,
+      genome : additionalDataLayers['genome']
+    })
+    canvas.bringToFront(graphObj)
+      pathDirective = []
+    }
+}
+
 function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {
   var cag = null;
   var color = 'gray';

From b57d43efec5fe22cf1e238bdaf52c633c8d4edda Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 4 Aug 2021 15:47:39 +0000
Subject: [PATCH 0191/1020] refactor group ruler layer

---
 anvio/data/interactive/js/genomeview.js | 77 +++++++++++++------------
 1 file changed, 40 insertions(+), 37 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 0f211dbacc..16660c2af5 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -964,44 +964,9 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
   let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
 
   if(additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
-    let startingTop = marginTop + yOffset + 30
-    let startingLeft = xDisps[genomeID]
-
-    // split ruler into several objects to avoid performance cost of large object pixel size
-    let nRulers = 20;
-    let w = 0;
-    for(let i = 0; i < nRulers; i++) {
-    let ruler = new fabric.Group();
-      for(; w < (i+1)*genomeMax/nRulers; w+=scaleInterval) {
-      let tick = new fabric.Line([0,0,0,20], {left: (w*scaleFactor),
-            stroke: 'black',
-            strokeWidth: 1,
-            fontSize: 10,
-            fontFamily: 'sans-serif'});
-      let lbl = new fabric.Text(w/1000 + " kB", {left: (w*scaleFactor+5),
-            stroke: 'black',
-            strokeWidth: .25,
-            fontSize: 15,
-            fontFamily: 'sans-serif'});
-      ruler.add(tick);
-      ruler.add(lbl);
-    ruler.set({
-      left: startingLeft,
-      top: startingTop,
-      lockMovementY: true,
-      hasControls: false,
-      hasBorders: false,
-      lockScaling: true,
-      objectCaching: false, 
-      groupID: genomeID
-    });
-      }
-    ruler.addWithUpdate();
-    canvas.add(ruler);
-  }
+    buildGroupRulerLayer(genomeID)
   }
 
-  // TODO: refactor these into an 'addContinuousData() function?'
   if(additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
     buildNumericalDataLayer('coverage', 60, genomeID, additionalDataLayers, ptInterval, 'pink')
   } 
@@ -1010,7 +975,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     buildNumericalDataLayer('gcContent', 120, genomeID, additionalDataLayers, ptInterval, 'purple')
   } 
   
-    yOffset += spacing
+  yOffset += spacing
 }
 
 function buildNumericalDataLayer(layer, margin, genomeID, additionalDataLayers, ptInterval, defaultColor){
@@ -1053,6 +1018,44 @@ function buildNumericalDataLayer(layer, margin, genomeID, additionalDataLayers,
     }
 }
 
+function buildGroupRulerLayer(genomeID){
+  let startingTop = marginTop + yOffset + 30
+  let startingLeft = xDisps[genomeID]
+
+  // split ruler into several objects to avoid performance cost of large object pixel size
+  let nRulers = 20;
+  let w = 0;
+  for(let i = 0; i < nRulers; i++) {
+    let ruler = new fabric.Group();
+    for(; w < (i+1)*genomeMax/nRulers; w+=scaleInterval) {
+      let tick = new fabric.Line([0,0,0,20], {left: (w*scaleFactor),
+            stroke: 'black',
+            strokeWidth: 1,
+            fontSize: 10,
+            fontFamily: 'sans-serif'});
+      let lbl = new fabric.Text(w/1000 + " kB", {left: (w*scaleFactor+5),
+            stroke: 'black',
+            strokeWidth: .25,
+            fontSize: 15,
+            fontFamily: 'sans-serif'});
+      ruler.add(tick);
+      ruler.add(lbl);
+      ruler.set({
+        left: startingLeft,
+        top: startingTop,
+        lockMovementY: true,
+        hasControls: false,
+        hasBorders: false,
+        lockScaling: true,
+        objectCaching: false, 
+        groupID: genomeID
+      });
+      }
+      ruler.addWithUpdate();
+      canvas.add(ruler);
+      }
+}
+
 function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {
   var cag = null;
   var color = 'gray';

From 7d86db600038c9fdf80b67bb68856798048b637c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 4 Aug 2021 15:49:52 +0000
Subject: [PATCH 0192/1020] comment + cleanup

---
 anvio/data/interactive/js/genomeview.js | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 16660c2af5..cdc139182c 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -978,8 +978,10 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
   yOffset += spacing
 }
 
+/*
+ *  Process to generate numerical ADL for genome groups (ie Coverage, GC Content )
+ */
 function buildNumericalDataLayer(layer, margin, genomeID, additionalDataLayers, ptInterval, defaultColor){
-    console.log(additionalDataLayers);
     let maxGCValue = 0
     let startingTop = marginTop + yOffset + margin
     let startingLeft = xDisps[genomeID]
@@ -1017,7 +1019,9 @@ function buildNumericalDataLayer(layer, margin, genomeID, additionalDataLayers,
       pathDirective = []
     }
 }
-
+/*
+ *  Generate individual genome group rulers
+ */
 function buildGroupRulerLayer(genomeID){
   let startingTop = marginTop + yOffset + 30
   let startingLeft = xDisps[genomeID]

From d394a57c116daa9c96d33a8c6987222c11619c8e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 4 Aug 2021 17:50:22 +0000
Subject: [PATCH 0193/1020] ~ the plan ~

---
 anvio/data/interactive/js/genomeview.js | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index cdc139182c..cbb1a9961d 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -961,6 +961,11 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     }
   })
 
+  // THE PLAN
+  // users will be able to reorder elements in a genome group via dragging in the UI
+  // this process returns an array of layers, in the order to be rendered
+  // map through the array, render each layer 'i', increase margin value * i+1
+
   let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
 
   if(additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {

From 593562164bd3bb9aab2629512528d6133ceeb28c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 4 Aug 2021 18:01:15 +0000
Subject: [PATCH 0194/1020] add grabby boppers for ADL UI

---
 anvio/data/interactive/genomeview.html  | 1 +
 anvio/data/interactive/js/genomeview.js | 8 ++++++++
 2 files changed, 9 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 6455ed9953..3e1289c91c 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -146,6 +146,7 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                         <table id="additionalDataLayersTable" style="margin-bottom: 20px;">
                           <thead>
                             <tr>
+                                <td></td>
                                 <td data-help="layer-name">Name</td>
                                 <td data-help="layer-color"><div style="width: 32px;">Color</div></td>
                                 <td data-help="layer-height">Height</td>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index cbb1a9961d..6c3c589f1c 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1206,6 +1206,7 @@ function buildAdditionalDataLayersTable(layerLabel){
   var height = '50'; 
   var margin = '25'; 
   var template = '<tr id={layerLabel}>' +
+                  '<td><img src="images/drag.gif" class="drag-icon" id={genomeLabel} /></td>' +
                   '<td> {layerLabel} </td>' +
                   '<td><div id="{layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: #FFFFFF" color="#FFFFFF"></div></td>' +
                   '<td>n/a</td>' +
@@ -1231,6 +1232,13 @@ function toggleAdditionalDataLayer(e){
   draw()
 }
 
+/*
+ *  respond to ui, redraw with updated group layer order
+ */
+function changeGroupLayersOrder(){
+
+}
+
 function changeGenomeOrder(updatedOrder){
   let newGenomeOrder = []
   updatedOrder.map(label => {

From 5bd8c1d4cf5572aa6f3df5258918d95b8cdd99db Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 4 Aug 2021 18:25:11 +0000
Subject: [PATCH 0195/1020] new state var to keep track of group layer order

---
 anvio/data/interactive/genomeview.html  |  2 +-
 anvio/data/interactive/js/genomeview.js | 19 +++++++++++++++----
 2 files changed, 16 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 3e1289c91c..7cbaf36250 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -143,7 +143,7 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                   </div>
 
                         <span class="settings-header">Additional Data Layers</span>
-                        <table id="additionalDataLayersTable" style="margin-bottom: 20px;">
+                        <table id="additionalDataLayersTable" class='sortable' style="margin-bottom: 20px;">
                           <thead>
                             <tr>
                                 <td></td>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 6c3c589f1c..366660b5aa 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -111,6 +111,11 @@ function serializeSettings(){
 
 function processState(stateName, stateData){
   calculateMaxGenomeLength()
+  if(stateData.hasOwnProperty('group-layer-order')){
+    // TODO process
+  } else {
+    stateData['group-layer-order'] = ['Genome', 'Ruler']
+  }
   
   if(stateData.hasOwnProperty('additional-data-layers')){
     // TODO process     
@@ -123,6 +128,7 @@ function processState(stateName, stateData){
   // we can query the first genome group for specific ADL and go from there
   if(stateData['additional-data-layers'][0]['coverage']){
     buildAdditionalDataLayersTable('Coverage')
+    stateData['group-layer-order'].push('Coverage')
     maxGroupSize += 1 // increase group size if coverage layer exists
   }
 
@@ -132,6 +138,7 @@ function processState(stateName, stateData){
   }
 
   if(stateData['additional-data-layers'][0]['ruler']) {
+    stateData['group-layer-order'].push('GC_Content')
     buildAdditionalDataLayersTable('Ruler')
     // don't increase group size for ruler since it requires less space
   }
@@ -571,7 +578,6 @@ function draw(scaleX=scaleFactor) {
   var y = marginTop;
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
 
-
   for(genome of genomeData.genomes) {
     let label = genome[1].genes.gene_calls[0].contig;
     xDisps[genome[0]] = xDisplacement;
@@ -1206,7 +1212,7 @@ function buildAdditionalDataLayersTable(layerLabel){
   var height = '50'; 
   var margin = '25'; 
   var template = '<tr id={layerLabel}>' +
-                  '<td><img src="images/drag.gif" class="drag-icon" id={genomeLabel} /></td>' +
+                  '<td><img src="images/drag.gif" class="drag-icon" id={layerLabel} /></td>' +
                   '<td> {layerLabel} </td>' +
                   '<td><div id="{layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: #FFFFFF" color="#FFFFFF"></div></td>' +
                   '<td>n/a</td>' +
@@ -1217,6 +1223,11 @@ function buildAdditionalDataLayersTable(layerLabel){
                      .replace(new RegExp('{margin}', 'g'), margin)
                      .replace(new RegExp('{layerLabel}', 'g'), layerLabel);   
   $('#tbody_additionalDataLayers').append(template);
+  $("#tbody_additionalDataLayers").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).disableSelection();
+
+  $("#tbody_additionalDataLayers").on("sortupdate", (event, ui) => {
+    changeGroupLayersOrder($("#tbody_additionalDataLayers").sortable('toArray'))
+  })
 }
 
 function toggleAdditionalDataLayer(e){
@@ -1235,8 +1246,8 @@ function toggleAdditionalDataLayer(e){
 /*
  *  respond to ui, redraw with updated group layer order
  */
-function changeGroupLayersOrder(){
-
+function changeGroupLayersOrder(updatedOrder){
+  console.log(updatedOrder)
 }
 
 function changeGenomeOrder(updatedOrder){

From cd4479611b100481934b75e7708ad1e1928685b8 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 4 Aug 2021 18:34:35 +0000
Subject: [PATCH 0196/1020] buildAdditionalDataLayersTable is now
 buildGroupLayersTable bc it makes more sense!

---
 anvio/data/interactive/js/genomeview.js | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 366660b5aa..4cd6c96196 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -124,22 +124,23 @@ function processState(stateName, stateData){
     generateMockADL()
   }
   
+
   // working under the assumption that all genome groups with contain the same additional data layers, 
   // we can query the first genome group for specific ADL and go from there
   if(stateData['additional-data-layers'][0]['coverage']){
-    buildAdditionalDataLayersTable('Coverage')
+    buildGroupLayersTable('Coverage')
     stateData['group-layer-order'].push('Coverage')
     maxGroupSize += 1 // increase group size if coverage layer exists
   }
 
   if(stateData['additional-data-layers'][0]['gcContent']){
-    buildAdditionalDataLayersTable('GC_Content')
+    buildGroupLayersTable('GC_Content')
     maxGroupSize += 1 // increase group size if GC layer exists
   }
 
   if(stateData['additional-data-layers'][0]['ruler']) {
     stateData['group-layer-order'].push('GC_Content')
-    buildAdditionalDataLayersTable('Ruler')
+    buildGroupLayersTable('Ruler')
     // don't increase group size for ruler since it requires less space
   }
 
@@ -1208,7 +1209,7 @@ function buildGenomesTable(genomes, order){
   })
 }
 
-function buildAdditionalDataLayersTable(layerLabel){
+function buildGroupLayersTable(layerLabel){
   var height = '50'; 
   var margin = '25'; 
   var template = '<tr id={layerLabel}>' +
@@ -1247,7 +1248,8 @@ function toggleAdditionalDataLayer(e){
  *  respond to ui, redraw with updated group layer order
  */
 function changeGroupLayersOrder(updatedOrder){
-  console.log(updatedOrder)
+  stateData['group-layer-order'] = updatedOrder
+  draw()
 }
 
 function changeGenomeOrder(updatedOrder){

From 8835b8e8b77492b89ca6ab5422f74cf9f84f6556 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 4 Aug 2021 18:37:10 +0000
Subject: [PATCH 0197/1020] by default build genome + ruler into group layers
 table

---
 anvio/data/interactive/js/genomeview.js | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 4cd6c96196..fe182f2ecb 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -127,6 +127,11 @@ function processState(stateName, stateData){
 
   // working under the assumption that all genome groups with contain the same additional data layers, 
   // we can query the first genome group for specific ADL and go from there
+  buildGroupLayersTable('Genome')
+  if(stateData['additional-data-layers'][0]['ruler']) {
+    buildGroupLayersTable('Ruler')
+    // don't increase group size for ruler since it requires less space
+  }
   if(stateData['additional-data-layers'][0]['coverage']){
     buildGroupLayersTable('Coverage')
     stateData['group-layer-order'].push('Coverage')
@@ -135,14 +140,11 @@ function processState(stateName, stateData){
 
   if(stateData['additional-data-layers'][0]['gcContent']){
     buildGroupLayersTable('GC_Content')
+    stateData['group-layer-order'].push('GC_Content')
     maxGroupSize += 1 // increase group size if GC layer exists
   }
 
-  if(stateData['additional-data-layers'][0]['ruler']) {
-    stateData['group-layer-order'].push('GC_Content')
-    buildGroupLayersTable('Ruler')
-    // don't increase group size for ruler since it requires less space
-  }
+
 
   if(stateData.hasOwnProperty('genome-order-method')){
     stateData['genome-order-method'].forEach(orderMethod => {

From b87bdbd92ebd745dc109591a358bd58687114c4d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 4 Aug 2021 18:47:32 +0000
Subject: [PATCH 0198/1020] implementing ~ the plan ~

---
 anvio/data/interactive/js/genomeview.js | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index fe182f2ecb..ffaa08de61 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -144,8 +144,6 @@ function processState(stateName, stateData){
     maxGroupSize += 1 // increase group size if GC layer exists
   }
 
-
-
   if(stateData.hasOwnProperty('genome-order-method')){
     stateData['genome-order-method'].forEach(orderMethod => {
       $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
@@ -970,9 +968,9 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     }
   })
 
-  // THE PLAN
-  // users will be able to reorder elements in a genome group via dragging in the UI
-  // this process returns an array of layers, in the order to be rendered
+  //X/ THE PLAN
+  //X/ users will be able to reorder elements in a genome group via dragging in the UI
+  //X/ this process returns an array of layers, in the order to be rendered
   // map through the array, render each layer 'i', increase margin value * i+1
 
   let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);

From 768126fb580550d75a83055808ab09e09aca31e0 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 4 Aug 2021 16:27:21 -0500
Subject: [PATCH 0199/1020] disable dragging for ADLs

---
 anvio/data/interactive/js/genomeview.js | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index ffaa08de61..506dc019c6 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1018,10 +1018,7 @@ function buildNumericalDataLayer(layer, margin, genomeID, additionalDataLayers,
       top : startingTop,
       stroke : additionalDataLayers[layer] ? additionalDataLayers[`${layer}-color`] : defaultColor,
       fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
-      lockMovementY: true,
-      hasControls: false,
-      hasBorders: false,
-      lockScaling: true,
+      selectable: false,
       objectCaching: false,
       id : `${layer} graph`, 
       groupID : genomeID,

From ee90af30baf432176f969317b312d395e15c37aa Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 5 Aug 2021 15:37:06 +0000
Subject: [PATCH 0200/1020] render layers in order

---
 anvio/data/interactive/genomeview.html  |  2 +-
 anvio/data/interactive/js/genomeview.js | 36 ++++++++++++++-----------
 2 files changed, 22 insertions(+), 16 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 7cbaf36250..7975ea6e7c 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -142,7 +142,7 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                       </table>
                   </div>
 
-                        <span class="settings-header">Additional Data Layers</span>
+                        <span class="settings-header">Group Layers</span>
                         <table id="additionalDataLayersTable" class='sortable' style="margin-bottom: 20px;">
                           <thead>
                             <tr>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index ffaa08de61..7475d3d899 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -968,24 +968,30 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     }
   })
 
-  //X/ THE PLAN
-  //X/ users will be able to reorder elements in a genome group via dragging in the UI
-  //X/ this process returns an array of layers, in the order to be rendered
-  // map through the array, render each layer 'i', increase margin value * i+1
-
-  let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
-
-  if(additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
-    buildGroupRulerLayer(genomeID)
+  let marginObj = { // hardcoded values for testing 
+    1 : 30, 
+    2 : 60, 
+    3 : 90, 
+    4 : 120, 
+    5 : 150, 
+    6 : 180
   }
 
-  if(additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
-    buildNumericalDataLayer('coverage', 60, genomeID, additionalDataLayers, ptInterval, 'pink')
-  } 
+  let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
 
-  if(additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
-    buildNumericalDataLayer('gcContent', 120, genomeID, additionalDataLayers, ptInterval, 'purple')
-  } 
+  stateData['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
+    if(layer == 'Ruler' && additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
+      buildGroupRulerLayer(genomeID)
+    }
+  
+    if(layer == 'Coverage' && additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
+      buildNumericalDataLayer('coverage', marginObj[idx], genomeID, additionalDataLayers, ptInterval, 'pink')
+    } 
+  
+    if(layer == 'GC_Content' && additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
+      buildNumericalDataLayer('gcContent', marginObj[idx], genomeID, additionalDataLayers, ptInterval, 'purple')
+    } 
+  })
   
   yOffset += spacing
 }

From 83587f2f2dbbf56be7c50306a8bb4c99786126c6 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 5 Aug 2021 15:45:57 +0000
Subject: [PATCH 0201/1020] comment + cleanup

---
 anvio/data/interactive/js/genomeview.js | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index e83b3ac707..d16d41cc5b 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -967,6 +967,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
       additionalDataLayers = group
     }
   })
+  let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
 
   let marginObj = { // hardcoded values for testing 
     1 : 30, 
@@ -977,17 +978,13 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     6 : 180
   }
 
-  let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
-
   stateData['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
     if(layer == 'Ruler' && additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
       buildGroupRulerLayer(genomeID)
     }
-  
     if(layer == 'Coverage' && additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
       buildNumericalDataLayer('coverage', marginObj[idx], genomeID, additionalDataLayers, ptInterval, 'pink')
     } 
-  
     if(layer == 'GC_Content' && additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
       buildNumericalDataLayer('gcContent', marginObj[idx], genomeID, additionalDataLayers, ptInterval, 'purple')
     } 
@@ -1255,6 +1252,9 @@ function changeGroupLayersOrder(updatedOrder){
   draw()
 }
 
+/*
+ *  respond to ui, redraw with updated genome group order
+ */
 function changeGenomeOrder(updatedOrder){
   let newGenomeOrder = []
   updatedOrder.map(label => {

From f597b34ff3dd86f8c277051a46333fe3605cd974 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 5 Aug 2021 17:01:24 +0000
Subject: [PATCH 0202/1020] better layer position values

---
 anvio/data/interactive/js/genomeview.js | 15 ++++-----------
 1 file changed, 4 insertions(+), 11 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index d16d41cc5b..b6d750866f 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -969,24 +969,17 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
   })
   let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
 
-  let marginObj = { // hardcoded values for testing 
-    1 : 30, 
-    2 : 60, 
-    3 : 90, 
-    4 : 120, 
-    5 : 150, 
-    6 : 180
-  }
-
   stateData['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
+    let layerPos = [spacing / maxGroupSize] * idx
+
     if(layer == 'Ruler' && additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
       buildGroupRulerLayer(genomeID)
     }
     if(layer == 'Coverage' && additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
-      buildNumericalDataLayer('coverage', marginObj[idx], genomeID, additionalDataLayers, ptInterval, 'pink')
+      buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'pink')
     } 
     if(layer == 'GC_Content' && additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
-      buildNumericalDataLayer('gcContent', marginObj[idx], genomeID, additionalDataLayers, ptInterval, 'purple')
+      buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple')
     } 
   })
   

From 8c9e9b9724bb7cfea11d4393b497f98e77502aea Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 5 Aug 2021 17:26:02 +0000
Subject: [PATCH 0203/1020] group ruler pos set programmatically

---
 anvio/data/interactive/js/genomeview.js | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index b6d750866f..c6a80cba79 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -973,7 +973,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     let layerPos = [spacing / maxGroupSize] * idx
 
     if(layer == 'Ruler' && additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
-      buildGroupRulerLayer(genomeID)
+      buildGroupRulerLayer(genomeID, layerPos)
     }
     if(layer == 'Coverage' && additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
       buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'pink')
@@ -989,9 +989,9 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
 /*
  *  Process to generate numerical ADL for genome groups (ie Coverage, GC Content )
  */
-function buildNumericalDataLayer(layer, margin, genomeID, additionalDataLayers, ptInterval, defaultColor){
+function buildNumericalDataLayer(layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor){
     let maxGCValue = 0
-    let startingTop = marginTop + yOffset + margin
+    let startingTop = marginTop + yOffset + layerPos
     let startingLeft = xDisps[genomeID]
     let layerHeight = spacing / maxGroupSize
     let pathDirective = [`M 0 0`]
@@ -1027,8 +1027,8 @@ function buildNumericalDataLayer(layer, margin, genomeID, additionalDataLayers,
 /*
  *  Generate individual genome group rulers
  */
-function buildGroupRulerLayer(genomeID){
-  let startingTop = marginTop + yOffset + 30
+function buildGroupRulerLayer(genomeID, layerPos){
+  let startingTop = marginTop + yOffset + layerPos
   let startingLeft = xDisps[genomeID]
 
   // split ruler into several objects to avoid performance cost of large object pixel size

From 9afcb6d86abc3a14ab6e2b5f4e78b0675f219dcf Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Thu, 5 Aug 2021 14:33:38 -0500
Subject: [PATCH 0204/1020] --name-prefix option

---
 sandbox/anvi-script-gen-genomes-file | 22 ++++++++++++++++++----
 1 file changed, 18 insertions(+), 4 deletions(-)

diff --git a/sandbox/anvi-script-gen-genomes-file b/sandbox/anvi-script-gen-genomes-file
index f154aa252b..095e893bce 100755
--- a/sandbox/anvi-script-gen-genomes-file
+++ b/sandbox/anvi-script-gen-genomes-file
@@ -71,6 +71,10 @@ def main(args):
 
         int_genomes_dict = {}
         for bin_name in sorted(collections.collections_dict[args.collection_name]['bin_names'].split(',')):
+            # if there is a prefix, update the bin_name variable:
+            if args.name_prefix:
+                bin_name = str(args.name_prefix) + str(bin_name)
+
             int_genomes_dict[bin_name] = {}
             int_genomes_dict[bin_name]['bin_id'] = bin_name
             int_genomes_dict[bin_name]['collection_id'] = args.collection_name
@@ -107,7 +111,12 @@ def main(args):
 
         ext_genomes_dict = {}
         for contigs_db in contigs_dbs:
-            ext_genomes_dict[contigs_db.project_name] = {'contigs_db_path': os.path.abspath(contigs_db.path)}
+            if args.name_prefix:
+                genome_name = str(args.name_prefix) + str(contigs_db.project_name)
+            else:
+                genome_name = contigs_db.project_name
+
+            ext_genomes_dict[genome_name] = {'contigs_db_path': os.path.abspath(contigs_db.path)}
 
         utils.store_dict_as_TAB_delimited_file(ext_genomes_dict, args.output_file, key_header='name')
 
@@ -122,7 +131,6 @@ if __name__ == '__main__':
     groupA = parser.add_argument_group("EXTERNAL GENOMES", "Provide a directory, and anvi'o will provide an external genomes "
                                                            "file containing all contigs dbs in that directory.")
     groupA.add_argument(*anvio.A('input-dir'), **anvio.K('input-dir'))
-    groupA.add_argument(*anvio.A('include-subdirs'), **anvio.K('include-subdirs'))
 
     groupB = parser.add_argument_group("INTERNAL GENOMES", "Provide a contigs db, profile db, and collection name and anvi'o "
                                                            "will bestow upon you an internal genomes file for that collection.")
@@ -131,8 +139,14 @@ if __name__ == '__main__':
     groupB.add_argument(*anvio.A('collection-name'), **anvio.K('collection-name'))
 
 
-    groupC = parser.add_argument_group("OUTPUT", "Path for your internal or external genomes file")
-    groupC.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
+    groupC = parser.add_argument_group("CONVENIENCE", "Various parameters to make your life easier")
+    groupC.add_argument(*anvio.A('include-subdirs'), **anvio.K('include-subdirs'))
+    groupC.add_argument(*anvio.A('name-prefix'), **anvio.K('name-prefix', {'help': "By default, anvi'o will learn the names "
+                                "the genome names from contigs databases and set them up in the genomes file accordingly. "
+                                "Using this parameter you can ask anvi'o to set a prefix to those names."}))
+
+    groupD = parser.add_argument_group("OUTPUT", "Path for your internal or external genomes file")
+    groupD.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
 
     args = parser.get_args(parser)
 

From 00a480dd99f542a2bc55add5dc27a669abb21b81 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Thu, 5 Aug 2021 14:33:57 -0500
Subject: [PATCH 0205/1020] a new community parameter: `--name-prefix`

---
 anvio/__init__.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/anvio/__init__.py b/anvio/__init__.py
index 9680cb66dd..e88cf2fa2a 100644
--- a/anvio/__init__.py
+++ b/anvio/__init__.py
@@ -1885,6 +1885,12 @@ def TABULATE(table, header, numalign="right", max_width=0):
              'help': "A prefix to be used while naming the output files (no file type "
                      "extensions please; just a prefix)."}
                 ),
+    'name-prefix': (
+            ['-N', '--name-prefix'],
+            {'metavar': 'NAME_PREFIX',
+             'type': str,
+             'help': "A prefix to be added to the default name."}
+                ),
     'long-format': (
             ['--long-format'],
             {'default': False,

From 9b2864d864bfe901bd80ec13d5f5edc1999427fe Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Thu, 5 Aug 2021 14:34:24 -0500
Subject: [PATCH 0206/1020] contigs databases for component testing

not to be used in the pangenomics tests since they are meant to be
generated from scratch. These are meant to be used, at least at the time
of committing them to the repository, by the genome view tests.
---
 .../sandbox/mock_data_for_pangenomics/01.db    | Bin 0 -> 425984 bytes
 .../sandbox/mock_data_for_pangenomics/02.db    | Bin 0 -> 425984 bytes
 .../sandbox/mock_data_for_pangenomics/03.db    | Bin 0 -> 425984 bytes
 3 files changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/01.db
 create mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/02.db
 create mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/03.db

diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/01.db b/anvio/tests/sandbox/mock_data_for_pangenomics/01.db
new file mode 100644
index 0000000000000000000000000000000000000000..9b73d842d2b30a46b2aa6d1b1670f71050a11d13
GIT binary patch
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diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/02.db b/anvio/tests/sandbox/mock_data_for_pangenomics/02.db
new file mode 100644
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diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/03.db b/anvio/tests/sandbox/mock_data_for_pangenomics/03.db
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HcmV?d00001


From bc44de9e13b9ff04b9fac88c4ff919089ca16b19 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Thu, 5 Aug 2021 14:35:24 -0500
Subject: [PATCH 0207/1020] file to test genome view.

---
 anvio/tests/run_genome_view.sh | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)
 create mode 100755 anvio/tests/run_genome_view.sh

diff --git a/anvio/tests/run_genome_view.sh b/anvio/tests/run_genome_view.sh
new file mode 100755
index 0000000000..0b0d00e328
--- /dev/null
+++ b/anvio/tests/run_genome_view.sh
@@ -0,0 +1,18 @@
+#!/bin/bash
+source 00.sh
+set -e
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+INFO "Setting up the pan analysis directory"
+cp $files/mock_data_for_pangenomics/*.db $output_dir
+
+INFO "Generating an external genomes file for DBs"
+anvi-script-gen-genomes-file --input-dir $output_dir \
+                             --name-prefix G0 \
+                             -o $output_dir/external-genomes.txt
+
+INFO "Running genome view"
+anvi-display-genomes -e $output_dir/external-genomes.txt

From 99eb1bc707b1a6e8f7ded3af1c090709f397fc31 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Thu, 5 Aug 2021 14:37:10 -0500
Subject: [PATCH 0208/1020] anvi-self-test += genome-view

---
 bin/anvi-self-test | 1 +
 1 file changed, 1 insertion(+)

diff --git a/bin/anvi-self-test b/bin/anvi-self-test
index d5f005f01e..378afc3fdc 100755
--- a/bin/anvi-self-test
+++ b/bin/anvi-self-test
@@ -30,6 +30,7 @@ __description__ = "A script for anvi'o to test itself"
 tests = {'mini'                 : ['run_mini_test.sh'],
          'metagenomics-full'    : ['run_all_tests.sh'],
          'pangenomics'          : ['run_pangenome_tests.sh'],
+         'genome-view'          : ['run_genome_view.sh'],
          'interactive-interface': ['run_manual_interactive.sh'],
          'metabolism'           : ['run_metabolism_tests.sh'],
          'display-functions'    : ['run_display_functions_tests.sh'],

From 4e6730fe0033a0e4fc6400f008c5a00f8ba4b7ea Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 5 Aug 2021 21:17:35 -0500
Subject: [PATCH 0209/1020] only draw a portion of the data surrounding the
 viewport to optimize performance

---
 anvio/data/interactive/js/genomeview.js | 62 ++++++++++++++++++++++---
 1 file changed, 55 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index c6a80cba79..7bb80593ba 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -44,6 +44,7 @@
  var adlPtsPerLayer = 10000; // number of data points to be subsampled per ADL. TODO: more meaningful default?
  var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
  var maxGroupSize = 2 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer + group ruler.
+ var renderWindow = [];
 
  var alignToGC = null;
 
@@ -256,6 +257,9 @@ function loadAll() {
   canvas.setWidth(VIEWER_WIDTH * 0.85);
 
   xDisplacement = showLabels ? 120 : 0;
+  for(genome of genomeData.genomes) {
+    xDisps[genome[0]] = xDisplacement;
+  }
 
   // Find max length genome
   calculateMaxGenomeLength()
@@ -319,6 +323,8 @@ function loadAll() {
       let ntsToShow = b[1] - b[0];
       scaleFactor = canvas.getWidth()/ntsToShow;
 
+      updateRenderWindow();
+
       if(dynamicScaleInterval) adjustScaleInterval();
 
       draw();
@@ -398,6 +404,9 @@ function loadAll() {
     }));
   }
 
+  brush.extent([parseInt($('#brush_start').val()),parseInt($('#brush_end').val())]);
+  brush(d3.select(".brush"));
+  updateRenderWindow();
   draw();
 
   // panning
@@ -416,11 +425,19 @@ function loadAll() {
       var e = opt.e;
       var vpt = this.viewportTransform;
       vpt[4] += e.clientX - this.lastPosX;
-      if(vpt[4] > 125) vpt[4] = 125;
-      if(vpt[4] < canvas.getWidth() - genomeMax*scaleFactor - xDisplacement - 125)
+      if(vpt[4] > 125) {
+        vpt[4] = 125;
+      } else if(vpt[4] < canvas.getWidth() - genomeMax*scaleFactor - xDisplacement - 125) {
       vpt[4] = canvas.getWidth() - genomeMax*scaleFactor - xDisplacement - 125;
+      }
       this.requestRenderAll();
       this.lastPosX = e.clientX;
+
+      let [l,r] = getNTRangeForVPT();
+      if(l < renderWindow[0] || r > renderWindow[1]) {
+        updateRenderWindow();
+        draw();
+      }
     }
   });
   canvas.on('mouse:up', function(opt) {
@@ -581,7 +598,6 @@ function draw(scaleX=scaleFactor) {
 
   for(genome of genomeData.genomes) {
     let label = genome[1].genes.gene_calls[0].contig;
-    xDisps[genome[0]] = xDisplacement;
     addGenome(label, genome[1].genes.gene_calls, genome[0], y, scaleX=scaleX)
     addLayers(label, genome[1], genome[0])
     labelSpacing += 30
@@ -656,6 +672,8 @@ function shadeGeneClusters(geneClusters, colors) {
         g2.push(genomeB[geneID].start, genomeB[geneID].stop);
       }
 
+      if(g1[0] < renderWindow[0] || g1[1] > renderWindow[1] || g2[0] < renderWindow[0] || g2[1] > renderWindow[1]) break;
+
       g1 = g1.map(val => val*scaleFactor + xDisps[genomeID_A]);
       g2 = g2.map(val => val*scaleFactor + xDisps[genomeID_B]);
 
@@ -909,11 +927,12 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1) {
     canvas.add(new fabric.Text(genomeLabel, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
   }
 
+  let [start, stop] = renderWindow.map(x => x*scaleX + xDisps[genomeID]);
+
   // line
-  let lineObj = new fabric.Line([0,0,genomeMax*scaleX,0], {
+  let lineObj = new fabric.Line([start,0,stop,0], {
         id: 'genomeLine',
         groupID: genomeID,
-        left: xDisps[genomeID],
         top: y + 4,
         stroke: 'black',
         strokeWidth: 2,
@@ -925,6 +944,10 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1) {
 
   for(let geneID in gene_list) {
     let gene = gene_list[geneID];
+
+    if(gene.start < renderWindow[0]) continue;
+    if(gene.stop > renderWindow[1]) return;
+
     let genome = genomeData.genomes.find(g => g[0] == genomeID)[1];
     var geneObj = geneArrow(gene,geneID,genome.genes.functions[geneID],y,genomeID,arrowStyle,scaleX=scaleX);
     canvas.add(geneObj);
@@ -1004,6 +1027,8 @@ function buildNumericalDataLayer(layer, layerPos, genomeID, additionalDataLayers
     let j = 0
     for(let i = 0; i < nGroups; i++) {
       for(; j < i*genomeMax/nGroups; j+=ptInterval){
+        if(j < renderWindow[0]) continue;
+        if(j > renderWindow[1]) break;
         let left = j * scaleFactor + startingLeft
         let top = [additionalDataLayers[layer][j] / maxGCValue] * layerHeight
       let segment = `L ${left} ${top}`
@@ -1037,6 +1062,8 @@ function buildGroupRulerLayer(genomeID, layerPos){
   for(let i = 0; i < nRulers; i++) {
     let ruler = new fabric.Group();
     for(; w < (i+1)*genomeMax/nRulers; w+=scaleInterval) {
+      if(w < renderWindow[0]) continue;
+      if(w > renderWindow[1]) break;
       let tick = new fabric.Line([0,0,0,20], {left: (w*scaleFactor),
             stroke: 'black',
             strokeWidth: 1,
@@ -1049,6 +1076,7 @@ function buildGroupRulerLayer(genomeID, layerPos){
             fontFamily: 'sans-serif'});
       ruler.add(tick);
       ruler.add(lbl);
+    }
       ruler.set({
         left: startingLeft,
         top: startingTop,
@@ -1059,7 +1087,6 @@ function buildGroupRulerLayer(genomeID, layerPos){
         objectCaching: false, 
         groupID: genomeID
       });
-      }
       ruler.addWithUpdate();
       canvas.add(ruler);
       }
@@ -1146,6 +1173,18 @@ function toggleSettingsPanel() {
     }
 }
 
+/*
+ *  @returns [start, stop] nt range for the current viewport and scaleFactor
+ */
+function getNTRangeForVPT() {
+  let vpt = canvas.viewportTransform;
+  let window_left = Math.floor((-1*vpt[4]-xDisplacement)/scaleFactor);
+  let window_right = Math.floor(window_left + canvas.getWidth()*scaleFactor);
+  if(window_left < 0) window_left = 0;
+  if(window_right > genomeMax) window_right = genomeMax;
+  return [window_left, window_right];
+}
+
 function getCategoryForKEGGClass(class_str) {
   if(class_str == null) return null;
 
@@ -1292,7 +1331,7 @@ function adjustScaleInterval() {
 }
 
 /*
- *  Update scale box position to match viewport location.
+ *  Update scale info to match viewport location.
  */
 function updateScalePos() {
   let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
@@ -1311,6 +1350,15 @@ function updateScalePos() {
   $('#brush_end').val(newEnd);
 }
 
+/*
+ *  Update render window based on scale box position
+ */
+function updateRenderWindow() {
+  let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+  let diff = end - start > 10000 ? Math.floor((end - start)/2) : 5000;
+  renderWindow = [clamp(start - diff, 0, genomeMax), clamp(end + diff, 0, genomeMax)];
+}
+
 /*
  *  capture user bookmark values and store obj in state
  */

From 6cb0580a207b22270cdfcfe3d8eaaf1216c5656f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 5 Aug 2021 21:55:09 -0500
Subject: [PATCH 0210/1020] update render window after aligning to cluster

---
 anvio/data/interactive/js/genomeview.js | 13 +++----------
 1 file changed, 3 insertions(+), 10 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 7bb80593ba..140649061b 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -791,6 +791,8 @@ function viewCluster(gc) {
       canvas.absolutePan({x: scaleFactor*geneMid + xDisps[genome[0]] - canvas.getWidth()/2, y: 0});
       canvas.viewportTransform[4] = clamp(canvas.viewportTransform[4], canvas.getWidth() - genomeMax*scaleFactor - xDisps[genome[0]] - 125, 125);
       updateScalePos();
+        updateRenderWindow();
+        draw();
         first = false;
         firstGenomeID = genome[0];
       }
@@ -1334,16 +1336,7 @@ function adjustScaleInterval() {
  *  Update scale info to match viewport location.
  */
 function updateScalePos() {
-  let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-  let newStart = Math.floor(-1*(canvas.viewportTransform[4]+xDisplacement)/scaleFactor);
-  let newEnd = newStart + (end-start);
-  if(newStart < 0) {
-    newStart = 0;
-    newEnd = end - start;
-  } else if(newEnd > genomeMax) {
-    newEnd = genomeMax;
-    newStart = start + (genomeMax - end);
-  }
+  let [newStart, newEnd] = getNTRangeForVPT();
   brush.extent([newStart, newEnd]);
   brush(d3.select(".brush").transition());
   $('#brush_start').val(newStart);

From e0ca40dee5c46608bcec841ed1940bab7c06a3e0 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 5 Aug 2021 22:16:40 -0500
Subject: [PATCH 0211/1020] fix alignToCluster()

---
 anvio/data/interactive/js/genomeview.js | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 140649061b..195d50a84c 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -785,18 +785,17 @@ function viewCluster(gc) {
       var targetGeneID = targetGenes[0]; /* TODO: implementation for multiple matching gene IDs */
       var targetGene = genome[1].genes.gene_calls[targetGeneID];
       genes.push({genomeID:genome[0],geneID:targetGeneID});
-
       if(first) {
         geneMid = targetGene.start + (targetGene.stop - targetGene.start) / 2;
       canvas.absolutePan({x: scaleFactor*geneMid + xDisps[genome[0]] - canvas.getWidth()/2, y: 0});
       canvas.viewportTransform[4] = clamp(canvas.viewportTransform[4], canvas.getWidth() - genomeMax*scaleFactor - xDisps[genome[0]] - 125, 125);
-      updateScalePos();
-        updateRenderWindow();
-        draw();
-        first = false;
         firstGenomeID = genome[0];
+        first = false;
       }
     }
+    updateScalePos();
+    updateRenderWindow();
+    draw();
     glowGenes(genes);
     return (first ? null : [firstGenomeID, geneMid]);
   } else {

From 5e675de2a81ecce06ed1bcb66419cd03fd55063f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 5 Aug 2021 22:41:14 -0500
Subject: [PATCH 0212/1020] add button to reset genome ruler alignment

---
 anvio/data/interactive/genomeview.html  |  3 +++
 anvio/data/interactive/js/genomeview.js | 29 ++++++++++++++++++++-----
 2 files changed, 27 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 7975ea6e7c..9aa9e1d9f7 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -180,6 +180,9 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                               <td>Genome scale interval: </td>
                               <td><input id="genome_scale_interval" class="form-control input-sm" type="text" value="100" size="4"></td>
                             </tr>
+                            <tr>
+                              <td><button id="alignRulerBtn" type="button" class="btn btn-primary btn-xs" onclick="alignRulers()" class="btn btn-outline-primary">Align genome rulers</button></td>
+                            </tr>
                           </tbody>
                         </table>
                         <span class="settings-header">Bookmarks</span>
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 195d50a84c..c4871adb24 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -425,11 +425,7 @@ function loadAll() {
       var e = opt.e;
       var vpt = this.viewportTransform;
       vpt[4] += e.clientX - this.lastPosX;
-      if(vpt[4] > 125) {
-        vpt[4] = 125;
-      } else if(vpt[4] < canvas.getWidth() - genomeMax*scaleFactor - xDisplacement - 125) {
-      vpt[4] = canvas.getWidth() - genomeMax*scaleFactor - xDisplacement - 125;
-      }
+      bindViewportToWindow();
       this.requestRenderAll();
       this.lastPosX = e.clientX;
 
@@ -879,6 +875,17 @@ function showAllADLPts() {
   $('#showAllADLPtsBtn').blur();
 }
 
+function alignRulers() {
+  for(genome of genomeData.genomes) {
+    xDisps[genome[0]] = xDisplacement;
+  }
+  // TODO: update viewport limits to 125 and -1*(genomeMax*scaleFactor-canvas.getWidth()),
+  //        once these limits are implemented based on individual genome displacements.
+  bindViewportToWindow();
+  draw();
+  $('#alignRulerBtn').blur();
+}
+
 function setGenomeSpacing(newSpacing) {
   if(isNaN(newSpacing)) return;
   newSpacing = parseInt(newSpacing);
@@ -1186,6 +1193,18 @@ function getNTRangeForVPT() {
   return [window_left, window_right];
 }
 
+/*
+ *  Resets viewport if outside bounds of the view window, with padding on each end
+ */
+function bindViewportToWindow() {
+  let vpt = canvas.viewportTransform;
+  if(vpt[4] > 125) {
+    vpt[4] = 125;
+  } else if(vpt[4] < canvas.getWidth() - genomeMax*scaleFactor - xDisplacement - 125) {
+    vpt[4] = canvas.getWidth() - genomeMax*scaleFactor - xDisplacement - 125;
+  }
+}
+
 function getCategoryForKEGGClass(class_str) {
   if(class_str == null) return null;
 

From be0a026cd7165730467ca6f69de3a095d3094a74 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 7 Aug 2021 15:09:45 -0500
Subject: [PATCH 0213/1020] fix

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index c4871adb24..0700f33104 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1187,7 +1187,7 @@ function toggleSettingsPanel() {
 function getNTRangeForVPT() {
   let vpt = canvas.viewportTransform;
   let window_left = Math.floor((-1*vpt[4]-xDisplacement)/scaleFactor);
-  let window_right = Math.floor(window_left + canvas.getWidth()*scaleFactor);
+  let window_right = Math.floor(window_left + canvas.getWidth()/scaleFactor);
   if(window_left < 0) window_left = 0;
   if(window_right > genomeMax) window_right = genomeMax;
   return [window_left, window_right];

From 531441d8f93ec7d21067c9d635428eb3aeb71521 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 7 Aug 2021 15:41:05 -0500
Subject: [PATCH 0214/1020] adjust panning boundaries to genome x-positions

---
 anvio/data/interactive/js/genomeview.js | 22 ++++++++++++++++++----
 1 file changed, 18 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 0700f33104..df43595c6c 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1198,13 +1198,27 @@ function getNTRangeForVPT() {
  */
 function bindViewportToWindow() {
   let vpt = canvas.viewportTransform;
-  if(vpt[4] > 125) {
-    vpt[4] = 125;
-  } else if(vpt[4] < canvas.getWidth() - genomeMax*scaleFactor - xDisplacement - 125) {
-    vpt[4] = canvas.getWidth() - genomeMax*scaleFactor - xDisplacement - 125;
+  let [l,r] = calcXBounds();
+  if(vpt[4] > 250 - l) {
+    vpt[4] = 250 - l;
+  } else if(vpt[4] < canvas.getWidth() - r - 125) {
+    vpt[4] = canvas.getWidth() - r - 125;
   }
 }
 
+/*
+ *  @returns array [min, max] where
+ *    min = left pos of the leftmost genome, max = right pos of the rightmost genome
+ */
+function calcXBounds() {
+  let min = 9*(10**9), max = -9*(10**9);
+  for(let g in xDisps) {
+    if(xDisps[g] > max) max = xDisps[g];
+    else if (xDisps[g] < min) min = xDisps[g];
+  }
+  return [min, max + scaleFactor*genomeMax];
+}
+
 function getCategoryForKEGGClass(class_str) {
   if(class_str == null) return null;
 

From f45fc89687c0322c9d9a2d2ebfc196cad39f3e42 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 7 Aug 2021 15:49:53 -0500
Subject: [PATCH 0215/1020] fix

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index df43595c6c..f17e59a122 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1214,7 +1214,7 @@ function calcXBounds() {
   let min = 9*(10**9), max = -9*(10**9);
   for(let g in xDisps) {
     if(xDisps[g] > max) max = xDisps[g];
-    else if (xDisps[g] < min) min = xDisps[g];
+    if(xDisps[g] < min) min = xDisps[g];
   }
   return [min, max + scaleFactor*genomeMax];
 }

From ff8236bdbdedb3fcb043ef03fb41489548de4aef Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 10 Aug 2021 16:11:08 +0000
Subject: [PATCH 0216/1020] refactor genome iterator to include index val for
 background shading, setup shading

---
 anvio/data/interactive/js/genomeview.js | 73 +++++++++++++++----------
 1 file changed, 45 insertions(+), 28 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index f17e59a122..a7b6fd5978 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -592,13 +592,13 @@ function draw(scaleX=scaleFactor) {
   var y = marginTop;
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
 
-  for(genome of genomeData.genomes) {
+  genomeData['genomes'].map((genome, idx) => {
     let label = genome[1].genes.gene_calls[0].contig;
-    addGenome(label, genome[1].genes.gene_calls, genome[0], y, scaleX=scaleX)
-    addLayers(label, genome[1], genome[0])
+    addGenome(label, genome[1].genes.gene_calls, genome[0], y, scaleX=scaleX, idx)
+    addLayers(label, genome[1], genome[0], idx)
     labelSpacing += 30
     y+=spacing;
-  }
+  })
 
   checkGeneLabels();
   drawTestShades();
@@ -930,7 +930,7 @@ function setGenomeLabelSize(newSize) {
   if(showLabels) draw();
 }
 
-function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1) {
+function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, idx) {
   if(showLabels) {
     canvas.add(new fabric.Text(genomeLabel, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
   }
@@ -991,8 +991,9 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1) {
   }
 }
 
-function addLayers(label, genome, genomeID){ // this will work alongside addGenome to render out any additional data layers associated with each group (genome)
+function addLayers(label, genome, genomeID, orderIndex){ // this will work alongside addGenome to render out any additional data layers associated with each group (genome)
   let additionalDataLayers;
+  let backgroundShade; 
   stateData['additional-data-layers'].map(group => {
     if(group.genome == label){
       additionalDataLayers = group
@@ -1004,13 +1005,13 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
     let layerPos = [spacing / maxGroupSize] * idx
 
     if(layer == 'Ruler' && additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
-      buildGroupRulerLayer(genomeID, layerPos)
+      buildGroupRulerLayer(genomeID, layerPos, orderIndex)
     }
     if(layer == 'Coverage' && additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
-      buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'pink')
+      buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'pink', orderIndex)
     } 
     if(layer == 'GC_Content' && additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
-      buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple')
+      buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', orderIndex)
     } 
   })
   
@@ -1020,7 +1021,7 @@ function addLayers(label, genome, genomeID){ // this will work alongside addGeno
 /*
  *  Process to generate numerical ADL for genome groups (ie Coverage, GC Content )
  */
-function buildNumericalDataLayer(layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor){
+function buildNumericalDataLayer(layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor, orderIndex){
     let maxGCValue = 0
     let startingTop = marginTop + yOffset + layerPos
     let startingLeft = xDisps[genomeID]
@@ -1039,28 +1040,29 @@ function buildNumericalDataLayer(layer, layerPos, genomeID, additionalDataLayers
         if(j > renderWindow[1]) break;
         let left = j * scaleFactor + startingLeft
         let top = [additionalDataLayers[layer][j] / maxGCValue] * layerHeight
-      let segment = `L ${left} ${top}`
-      pathDirective.push(segment)
-    }
-    let graphObj = new fabric.Path(pathDirective.join(' '))
-    graphObj.set({
-      top : startingTop,
-      stroke : additionalDataLayers[layer] ? additionalDataLayers[`${layer}-color`] : defaultColor,
-      fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
-      selectable: false,
-      objectCaching: false,
-      id : `${layer} graph`, 
-      groupID : genomeID,
-      genome : additionalDataLayers['genome']
-    })
-    canvas.bringToFront(graphObj)
+        let segment = `L ${left} ${top}`
+        pathDirective.push(segment)
+      }
+      let graphObj = new fabric.Path(pathDirective.join(' '))
+      graphObj.set({
+        top : startingTop,
+        stroke : additionalDataLayers[layer] ? additionalDataLayers[`${layer}-color`] : defaultColor,
+        fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
+        selectable: false,
+        objectCaching: false,
+        id : `${layer} graph`, 
+        groupID : genomeID,
+        genome : additionalDataLayers['genome']
+      })
+      canvas.bringToFront(graphObj)
+      addBackgroundShade(startingTop, 138, genomeMax, 50, orderIndex)
       pathDirective = []
     }
 }
 /*
  *  Generate individual genome group rulers
  */
-function buildGroupRulerLayer(genomeID, layerPos){
+function buildGroupRulerLayer(genomeID, layerPos, orderIndex){
   let startingTop = marginTop + yOffset + layerPos
   let startingLeft = xDisps[genomeID]
 
@@ -1092,12 +1094,13 @@ function buildGroupRulerLayer(genomeID, layerPos){
         hasControls: false,
         hasBorders: false,
         lockScaling: true,
-        objectCaching: false, 
+        objectCaching: false,
         groupID: genomeID
       });
       ruler.addWithUpdate();
       canvas.add(ruler);
-      }
+  }
+  addBackgroundShade(startingTop, 138, genomeMax, 50, orderIndex)
 }
 
 function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {
@@ -1403,6 +1406,20 @@ function createBookmark(){
   )
 }
 
+function addBackgroundShade(top, left, width, height, orderIndex){
+  let backgroundShade; 
+  orderIndex % 2 == 0 ? backgroundShade = '#e0e0e0' : backgroundShade = '#949494'
+
+  let background = new fabric.Rect({
+    top: top,
+    left: left,
+    width: width,
+    height: height,
+    fill: backgroundShade
+  });
+  canvas.add(background)
+  canvas.sendToBack(background)
+}
 var fixHelperModified = function(e, tr) { // ripped from utils.js instead of importing the whole file
   var $originals = tr.children();
   var $helper = tr.clone();

From 4d324553b8b23503d0651e0d4cd851bcee2bc146 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 10 Aug 2021 16:12:12 +0000
Subject: [PATCH 0217/1020] comment

---
 anvio/data/interactive/js/genomeview.js | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index a7b6fd5978..7d02f6cb29 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1406,6 +1406,9 @@ function createBookmark(){
   )
 }
 
+/*
+ *  adds an alternating shade to each genome group for easier visual distinction amongst adjacent groups
+ */
 function addBackgroundShade(top, left, width, height, orderIndex){
   let backgroundShade; 
   orderIndex % 2 == 0 ? backgroundShade = '#e0e0e0' : backgroundShade = '#949494'

From a5a79836e8f952fcbce83e2779e7507fed8f8acc Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 10 Aug 2021 19:10:57 +0000
Subject: [PATCH 0218/1020] cleaning

---
 anvio/data/interactive/js/genomeview.js | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 7d02f6cb29..8a4b99aa9d 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -930,7 +930,7 @@ function setGenomeLabelSize(newSize) {
   if(showLabels) draw();
 }
 
-function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, idx) {
+function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, orderIndex) {
   if(showLabels) {
     canvas.add(new fabric.Text(genomeLabel, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
   }
@@ -989,11 +989,11 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, idx) {
       canvas.add(label);
     }
   }
+  addBackgroundShade(y, 138, genomeMax, 50, orderIndex)
 }
 
 function addLayers(label, genome, genomeID, orderIndex){ // this will work alongside addGenome to render out any additional data layers associated with each group (genome)
   let additionalDataLayers;
-  let backgroundShade; 
   stateData['additional-data-layers'].map(group => {
     if(group.genome == label){
       additionalDataLayers = group
@@ -1055,9 +1055,9 @@ function buildNumericalDataLayer(layer, layerPos, genomeID, additionalDataLayers
         genome : additionalDataLayers['genome']
       })
       canvas.bringToFront(graphObj)
-      addBackgroundShade(startingTop, 138, genomeMax, 50, orderIndex)
       pathDirective = []
     }
+    addBackgroundShade(startingTop, 138, genomeMax, 50, orderIndex)
 }
 /*
  *  Generate individual genome group rulers

From e9d43fc43b41eaf5b9642ce7b87081e559b10077 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 10 Aug 2021 19:15:52 +0000
Subject: [PATCH 0219/1020] better default values, background shade for genome
 layer

---
 anvio/data/interactive/js/genomeview.js | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 8a4b99aa9d..3c8c2b54ec 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -229,7 +229,7 @@ function processState(stateName, stateData){
       let additionalDataObject = {
         'genome' : genomeLabel,
         'coverage' : coverage,
-        'coverage-color' : 'pink',
+        'coverage-color' : 'blue',
         'gcContent' : gcContent,
         'gcContent-color' : 'purple',
         'ruler' : true // TODO: store any genome-specific scale data here
@@ -949,6 +949,7 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, orderIndex) {
         hasBorders: false,
         lockScaling: true});
   canvas.add(lineObj);
+  addBackgroundShade(y, 138, genomeMax, 50, orderIndex)
 
   for(let geneID in gene_list) {
     let gene = gene_list[geneID];
@@ -989,7 +990,6 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, orderIndex) {
       canvas.add(label);
     }
   }
-  addBackgroundShade(y, 138, genomeMax, 50, orderIndex)
 }
 
 function addLayers(label, genome, genomeID, orderIndex){ // this will work alongside addGenome to render out any additional data layers associated with each group (genome)
@@ -1008,7 +1008,7 @@ function addLayers(label, genome, genomeID, orderIndex){ // this will work along
       buildGroupRulerLayer(genomeID, layerPos, orderIndex)
     }
     if(layer == 'Coverage' && additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
-      buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'pink', orderIndex)
+      buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', orderIndex)
     } 
     if(layer == 'GC_Content' && additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
       buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', orderIndex)
@@ -1411,7 +1411,7 @@ function createBookmark(){
  */
 function addBackgroundShade(top, left, width, height, orderIndex){
   let backgroundShade; 
-  orderIndex % 2 == 0 ? backgroundShade = '#e0e0e0' : backgroundShade = '#949494'
+  orderIndex % 2 == 0 ? backgroundShade = '#f2f2f2' : backgroundShade = '#dedcdc'
 
   let background = new fabric.Rect({
     top: top,

From f7dc62481b03bf6803a572bf90d35af4e83a7a71 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 10 Aug 2021 19:21:51 +0000
Subject: [PATCH 0220/1020] default color + opacity tweaks for bg shade

---
 anvio/data/interactive/js/genomeview.js | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 3c8c2b54ec..41db739bcd 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1411,14 +1411,15 @@ function createBookmark(){
  */
 function addBackgroundShade(top, left, width, height, orderIndex){
   let backgroundShade; 
-  orderIndex % 2 == 0 ? backgroundShade = '#f2f2f2' : backgroundShade = '#dedcdc'
+  orderIndex % 2 == 0 ? backgroundShade = '#b8b8b8' : backgroundShade = '#f5f5f5'
 
   let background = new fabric.Rect({
     top: top,
     left: left,
     width: width,
     height: height,
-    fill: backgroundShade
+    fill: backgroundShade,
+    opacity : .5
   });
   canvas.add(background)
   canvas.sendToBack(background)

From d6aa0c1ecc9bac33476bdbfe4ae79d186630e9db Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 10 Aug 2021 21:40:17 +0000
Subject: [PATCH 0221/1020] set viewer height + make scrollable, no comments in
 CSS :(

---
 anvio/data/interactive/css/genomeview.css | 2 +-
 anvio/data/interactive/js/genomeview.js   | 2 ++
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index fce92fd7f8..fc7b59f52c 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -1,5 +1,5 @@
 .container {
-    width: 95%; //this is being overwritten though.
+    width: 95%; 
     align-content: center;
     margin: 0 auto 20px auto;
     background: rgba(255,255,255,0.5);
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 41db739bcd..f5eca7949c 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -19,6 +19,7 @@
  */
 
  var VIEWER_WIDTH = window.innerWidth || document.documentElement.clientWidth || document.getElementsByTagName('body')[0].clientWidth;
+ var VIEWER_HEIGHT = window.innerHeight || document.documentElement.clientHeight || document.getElementsByTagName('body')[0].clientHeight;
 
  var canvas;
  var genomeLabelsCanvas;
@@ -256,6 +257,7 @@ function loadAll() {
   canvas = new fabric.Canvas('myCanvas');
   canvas.setWidth(VIEWER_WIDTH * 0.85);
 
+  $('.container').css({'height' : VIEWER_HEIGHT + 'px', 'overflow-y' : 'auto'})
   xDisplacement = showLabels ? 120 : 0;
   for(genome of genomeData.genomes) {
     xDisps[genome[0]] = xDisplacement;

From 1682bd3fcdd69633612d387ee701842010af0717 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 10 Aug 2021 23:23:37 -0500
Subject: [PATCH 0222/1020] calculate proportional range of sequence breadth in
 window for non-aligned genomes

---
 anvio/data/interactive/js/genomeview.js | 33 ++++++++++++++++++++++---
 1 file changed, 30 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index f5eca7949c..5baaef18ba 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1193,8 +1193,35 @@ function getNTRangeForVPT() {
   let vpt = canvas.viewportTransform;
   let window_left = Math.floor((-1*vpt[4]-xDisplacement)/scaleFactor);
   let window_right = Math.floor(window_left + canvas.getWidth()/scaleFactor);
-  if(window_left < 0) window_left = 0;
-  if(window_right > genomeMax) window_right = genomeMax;
+  // if window is out of bounds, shift to be in bounds
+  if(window_left < 0) {
+    window_right -= window_left;
+    window_left = 0;
+  }
+  if(window_right > genomeMax) {
+    window_left -= (window_right - genomeMax);
+    window_right = genomeMax;
+  }
+  return [window_left, window_right];
+}
+
+/*
+ *  @returns [start, stop] proportional (0-1) range, used with scale for non-aligned genomes
+ */
+function getFracForVPT() {
+  let resolution = 4; // number of decimals to show
+  let [x1, x2] = calcXBounds();
+  let window_left = Math.round(10**resolution * (-1*canvas.viewportTransform[4] - x1) / (x2 - x1)) / 10**resolution;
+  let window_right = Math.round(10**resolution * (window_left + (canvas.getWidth()) / (x2 - x1))) / 10**resolution;
+  // if window is out of bounds, shift to be in bounds
+  if(window_left < 0) {
+    window_right -= window_left;
+    window_left = 0;
+  }
+  if(window_right > 1) {
+    window_left -= (window_right - 1);
+    window_right = 1;
+  }
   return [window_left, window_right];
 }
 
@@ -1213,7 +1240,7 @@ function bindViewportToWindow() {
 
 /*
  *  @returns array [min, max] where
- *    min = left pos of the leftmost genome, max = right pos of the rightmost genome
+ *    min = x-start of the leftmost genome, max = x-end of the rightmost genome
  */
 function calcXBounds() {
   let min = 9*(10**9), max = -9*(10**9);

From a5f46a4928cc0faf41412688633d0765c28e55a9 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 11 Aug 2021 15:43:18 +0000
Subject: [PATCH 0223/1020] ceremonial first in-lab commit :) (replace
 hardcoded vals)

---
 anvio/data/interactive/js/genomeview.js | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 5baaef18ba..81b9c99a2d 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1059,7 +1059,7 @@ function buildNumericalDataLayer(layer, layerPos, genomeID, additionalDataLayers
       canvas.bringToFront(graphObj)
       pathDirective = []
     }
-    addBackgroundShade(startingTop, 138, genomeMax, 50, orderIndex)
+    addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
 }
 /*
  *  Generate individual genome group rulers
@@ -1067,6 +1067,8 @@ function buildNumericalDataLayer(layer, layerPos, genomeID, additionalDataLayers
 function buildGroupRulerLayer(genomeID, layerPos, orderIndex){
   let startingTop = marginTop + yOffset + layerPos
   let startingLeft = xDisps[genomeID]
+  let layerHeight = spacing / maxGroupSize
+
 
   // split ruler into several objects to avoid performance cost of large object pixel size
   let nRulers = 20;
@@ -1102,7 +1104,7 @@ function buildGroupRulerLayer(genomeID, layerPos, orderIndex){
       ruler.addWithUpdate();
       canvas.add(ruler);
   }
-  addBackgroundShade(startingTop, 138, genomeMax, 50, orderIndex)
+  addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
 }
 
 function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {

From 9ac7e7acd118d10394b5f1460a44b185ba7224e7 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 11 Aug 2021 15:58:28 +0000
Subject: [PATCH 0224/1020] replace hardcoded values for genome layer shade

---
 anvio/data/interactive/js/genomeview.js | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 81b9c99a2d..bb0c11f05b 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -933,6 +933,7 @@ function setGenomeLabelSize(newSize) {
 }
 
 function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, orderIndex) {
+  let layerHeight = spacing / maxGroupSize
   if(showLabels) {
     canvas.add(new fabric.Text(genomeLabel, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
   }
@@ -951,7 +952,7 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, orderIndex) {
         hasBorders: false,
         lockScaling: true});
   canvas.add(lineObj);
-  addBackgroundShade(y, 138, genomeMax, 50, orderIndex)
+  addBackgroundShade(y, start, genomeMax, layerHeight, orderIndex)
 
   for(let geneID in gene_list) {
     let gene = gene_list[geneID];

From 0ae98c9abf8b706a7f080b4a7427ffc0b31d40ea Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 11 Aug 2021 16:00:31 +0000
Subject: [PATCH 0225/1020] clean

---
 anvio/data/interactive/js/genomeview.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index bb0c11f05b..efb9b02fc6 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1070,7 +1070,6 @@ function buildGroupRulerLayer(genomeID, layerPos, orderIndex){
   let startingLeft = xDisps[genomeID]
   let layerHeight = spacing / maxGroupSize
 
-
   // split ruler into several objects to avoid performance cost of large object pixel size
   let nRulers = 20;
   let w = 0;

From 9c29ea7b2c88c1c04a88b9cbc59718c703d8a3d9 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 11 Aug 2021 16:25:39 +0000
Subject: [PATCH 0226/1020] render bookmark description to scale canvas

---
 anvio/data/interactive/genomeview.html  |  1 +
 anvio/data/interactive/js/genomeview.js | 34 ++++++++++++++++---------
 2 files changed, 23 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 9aa9e1d9f7..b65793e640 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -44,6 +44,7 @@
               <select id='bookmarks-select' style= "width: 120px; float:left; margin-left:10px">
                 <option selected="true" disabled="disabled">Bookmarks</option>  
               </select>
+              <p id='bookmark-description' style= "width: 300px; float:left; margin-left:10px; font-size: large;"></p>
             </div>
             <div id='tooltip-body' display='none'></div>
 
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index efb9b02fc6..876126b932 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -182,38 +182,32 @@ function processState(stateName, stateData){
         name : 'entire seq',
         start : '0', 
         stop : genomeMax,
-        description : ''
+        description : 'a mighty fine placeholder'
       },
       {
         name : 'shindig',
         start : '5000',
         stop : '9000', 
-        description : ''
+        description : 'a beautiful placeholder'
       },
       {
         name : 'fiesta',
         start : '15000',
         stop : '19000', 
-        description : ''
+        description : 'an adequate placeholder'
       },
       {
         name : 'party',
         start : '25000',
         stop : '29000', 
-        description : ''
+        description : 'the very best placeholder'
       },
     ]
     stateData['display']['bookmarks'].map(bookmark => {
       $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
     })
-    $('#bookmarks-select').change(function(){
-      let [start, stop] = [$(this).val().split(',')[0], $(this).val().split(',')[1] ]
-      $('#brush_start').val(start);
-      $('#brush_end').val(stop);
-      brush.extent([start, stop]);
-          brush(d3.select(".brush").transition());
-          brush.event(d3.select(".brush").transition());   
-    })
+    // set listener for user bookmark selection
+    respondToBookmarkSelect()
   }
   
 
@@ -1436,6 +1430,22 @@ function createBookmark(){
     }
   )
 }
+/*
+ *  update sequence position, bookmark description upon user select from dropdown
+ */
+function respondToBookmarkSelect(){
+  $('#bookmarks-select').change(function(e){
+    let [start, stop] = [$(this).val().split(',')[0], $(this).val().split(',')[1] ]
+    $('#brush_start').val(start);
+    $('#brush_end').val(stop);
+    brush.extent([start, stop]);
+        brush(d3.select(".brush").transition());
+        brush.event(d3.select(".brush").transition());  
+        
+    let selectedBookmark = stateData['display']['bookmarks'].find(bookmark => bookmark.start == start && bookmark.stop == stop)
+    $('#bookmark-description').text(selectedBookmark['description'])
+  })
+}
 
 /*
  *  adds an alternating shade to each genome group for easier visual distinction amongst adjacent groups

From c077d79c82a2b1f403c616b89e5f7fa35f3ab5ed Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 11 Aug 2021 16:45:30 +0000
Subject: [PATCH 0227/1020] sry no touch

---
 anvio/data/interactive/js/genomeview.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 876126b932..707165e18e 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1460,6 +1460,7 @@ function addBackgroundShade(top, left, width, height, orderIndex){
     width: width,
     height: height,
     fill: backgroundShade,
+    selectable: false,
     opacity : .5
   });
   canvas.add(background)

From 1158909be497f3155aa3e1c87874f4bacb3f6266 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 11 Aug 2021 19:15:50 +0000
Subject: [PATCH 0228/1020] alert + try/catch for creating bookmarks

---
 anvio/data/interactive/js/genomeview.js | 23 ++++++++++++++---------
 1 file changed, 14 insertions(+), 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 707165e18e..b1b1ef9a59 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1420,15 +1420,20 @@ function createBookmark(){
     alert('please provide a name for your bookmark :)')
     return 
   }
-  
-  stateData['display']['bookmarks'].push(
-    {
-      name : $('#create_bookmark_input').val(), 
-      start : $('#brush_start').val(), 
-      stop : $('#brush_end').val(),
-      description : $('#create_bookmark_description').val(),  
-    }
-  )
+  try {
+    stateData['display']['bookmarks'].push(
+      {
+        name : $('#create_bookmark_input').val(), 
+        start : $('#brush_start').val(), 
+        stop : $('#brush_end').val(),
+        description : $('#create_bookmark_description').val(),  
+      }
+    )
+    alert('bookmark successfully created :)')
+  } catch (error) {
+    alert(`anvi'o was unable to save your bookmark because of an error ${error} :/`)
+    // throw to error landing page?
+  }
 }
 /*
  *  update sequence position, bookmark description upon user select from dropdown

From 85e444e20d1935b11670647ee38a30b298bca926 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 11 Aug 2021 19:43:27 +0000
Subject: [PATCH 0229/1020] refactor

---
 anvio/data/interactive/js/genomeview.js | 9 +--------
 1 file changed, 1 insertion(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index b1b1ef9a59..4560cdbc0b 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -167,14 +167,7 @@ function processState(stateName, stateData){
     stateData['display']['bookmarks'].map(bookmark => {
       $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
     })
-    $('#bookmarks-select').change(function(){
-      let [start, stop] = [$(this).val().split(',')[0], $(this).val().split(',')[1] ]
-      $('#brush_start').val(start);
-      $('#brush_end').val(stop);
-      brush.extent([start, stop]);
-          brush(d3.select(".brush").transition());
-          brush.event(d3.select(".brush").transition());   
-    })
+    respondToBookmarkSelect()
   } else {
     calculateMaxGenomeLength() // remove later, only here to set max length for bookmark
     stateData['display']['bookmarks'] = [ // gen mock data 

From 58704eb5aab867eefb5cd21e7ec0d1451ac7b54e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 11 Aug 2021 19:48:06 +0000
Subject: [PATCH 0230/1020] use global spacing val to calc canvas height

---
 anvio/data/interactive/js/genomeview.js | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 4560cdbc0b..2d8e34851a 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1367,10 +1367,8 @@ function calculateMaxGenomeLength(){
 }
 
 function calculateMainCanvasHeight(){ // to be used for setting vertical spacing
-  let optimalLayerHeight = 50 // arbitrary value to be set by us experts ;) 
-  // TODO global var spacing should be used here instead of optimalLayerHeight
-  let additionalSpacing = 100 // arbitrary additional spacing for ruler(s), cosmetics
-  let mainCanvasHeight = optimalLayerHeight * maxGroupSize * genomeData.genomes.length + additionalSpacing
+  let additionalSpacing = 100 // arbitrary additional spacing for cosmetics
+  let mainCanvasHeight =  spacing * genomeData.genomes.length + additionalSpacing
   return mainCanvasHeight
 }
 

From 11632f2906022d1eaaabd32e9dd40a3abf400261 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 11 Aug 2021 19:58:51 +0000
Subject: [PATCH 0231/1020] better comment

---
 anvio/data/interactive/js/genomeview.js | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 2d8e34851a..ffac81c871 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -981,8 +981,10 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, orderIndex) {
     }
   }
 }
-
-function addLayers(label, genome, genomeID, orderIndex){ // this will work alongside addGenome to render out any additional data layers associated with each group (genome)
+/*
+ *  For each genome group, iterate additional layers beyond genome and render where appropriate
+ */
+function addLayers(label, genome, genomeID, orderIndex){ 
   let additionalDataLayers;
   stateData['additional-data-layers'].map(group => {
     if(group.genome == label){

From 82b3ae4c26433377bd5cb20c210e533433dcb298 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 11 Aug 2021 20:01:12 +0000
Subject: [PATCH 0232/1020] refactor

---
 anvio/data/interactive/js/genomeview.js | 7 +------
 1 file changed, 1 insertion(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index ffac81c871..c6e834ebe6 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -985,12 +985,7 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, orderIndex) {
  *  For each genome group, iterate additional layers beyond genome and render where appropriate
  */
 function addLayers(label, genome, genomeID, orderIndex){ 
-  let additionalDataLayers;
-  stateData['additional-data-layers'].map(group => {
-    if(group.genome == label){
-      additionalDataLayers = group
-    }
-  })
+  let additionalDataLayers = stateData['additional-data-layers'].find(group => group.genome == label)
   let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
 
   stateData['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array

From 9ae27e057a03dcee9a5636ce39b6a8cee57ac7e5 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 12 Aug 2021 17:08:51 -0500
Subject: [PATCH 0233/1020] implement proportional 0-1 scale upon sliding
 genome

---
 anvio/data/interactive/js/genomeview.js | 171 ++++++++++++++++--------
 1 file changed, 113 insertions(+), 58 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index c6e834ebe6..18044707c6 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -29,7 +29,7 @@
  // Settings vars
  // TODO migrate below variables to kvp in state
  var stateData = {};
- var mainCanvasHeight; 
+ var mainCanvasHeight;
  var spacing = 50; // vertical spacing between genomes
  var yOffset = 0 // vertical space between additional data layers
  var marginTop = 20; // vertical margin at the top of the genome display
@@ -45,7 +45,9 @@
  var adlPtsPerLayer = 10000; // number of data points to be subsampled per ADL. TODO: more meaningful default?
  var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
  var maxGroupSize = 2 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer + group ruler.
+ let percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
  var renderWindow = [];
+ var xScale;
 
  var alignToGC = null;
 
@@ -85,7 +87,7 @@ function initData() {
 }
 
 function loadState(){
-  
+
     $.ajax({
         type: 'GET',
         cache: false,
@@ -118,16 +120,16 @@ function processState(stateName, stateData){
   } else {
     stateData['group-layer-order'] = ['Genome', 'Ruler']
   }
-  
+
   if(stateData.hasOwnProperty('additional-data-layers')){
-    // TODO process     
+    // TODO process
   } else {
     stateData['additional-data-layers'] = []
     generateMockADL()
   }
-  
 
-  // working under the assumption that all genome groups with contain the same additional data layers, 
+
+  // working under the assumption that all genome groups with contain the same additional data layers,
   // we can query the first genome group for specific ADL and go from there
   buildGroupLayersTable('Genome')
   if(stateData['additional-data-layers'][0]['ruler']) {
@@ -160,7 +162,7 @@ function processState(stateName, stateData){
   if(stateData.hasOwnProperty('display')){
     // TODO process
   } else {
-    stateData['display'] = {} 
+    stateData['display'] = {}
     stateData['display']['additionalDataLayers'] = {}
   }
   if(stateData['display'].hasOwnProperty('bookmarks')){
@@ -170,29 +172,29 @@ function processState(stateName, stateData){
     respondToBookmarkSelect()
   } else {
     calculateMaxGenomeLength() // remove later, only here to set max length for bookmark
-    stateData['display']['bookmarks'] = [ // gen mock data 
+    stateData['display']['bookmarks'] = [ // gen mock data
       {
         name : 'entire seq',
-        start : '0', 
+        start : '0',
         stop : genomeMax,
         description : 'a mighty fine placeholder'
       },
       {
         name : 'shindig',
         start : '5000',
-        stop : '9000', 
+        stop : '9000',
         description : 'a beautiful placeholder'
       },
       {
         name : 'fiesta',
         start : '15000',
-        stop : '19000', 
+        stop : '19000',
         description : 'an adequate placeholder'
       },
       {
         name : 'party',
         start : '25000',
-        stop : '29000', 
+        stop : '29000',
         description : 'the very best placeholder'
       },
     ]
@@ -202,13 +204,13 @@ function processState(stateName, stateData){
     // set listener for user bookmark selection
     respondToBookmarkSelect()
   }
-  
+
 
   function generateMockADL(){
     for(let i = 0; i < genomeData.genomes.length; i++){ // generate mock additional data layer content
       let gcContent = []
       let coverage = []
-  
+
       for(let j = 0; j < genomeMax; j++){
         gcContent.push(Math.floor(Math.random() * 45))
         coverage.push(Math.floor(Math.random() * 45))
@@ -256,7 +258,7 @@ function loadAll() {
   var scaleWidth = canvas.getWidth();
   var scaleHeight = 100;
 
-  var xScale = d3.scale.linear().range([0, scaleWidth]).domain([0,genomeMax]);
+  xScale = d3.scale.linear().range([0, scaleWidth]).domain([0,genomeMax]);
 
   var scaleAxis = d3.svg.axis()
               .scale(xScale)
@@ -304,20 +306,20 @@ function loadAll() {
           $('.btn-selection-sequence').removeClass('disabled').prop('disabled', false);
       }
 
-      b = [Math.floor(b[0]), Math.floor(b[1])];
+      if(!percentScale) b = [Math.floor(b[0]), Math.floor(b[1])];
 
       $('#brush_start').val(b[0]);
       $('#brush_end').val(b[1]);
 
       let ntsToShow = b[1] - b[0];
-      scaleFactor = canvas.getWidth()/ntsToShow;
-
+      scaleFactor = percentScale ? canvas.getWidth()/(ntsToShow*genomeMax) : canvas.getWidth()/ntsToShow;
       updateRenderWindow();
 
       if(dynamicScaleInterval) adjustScaleInterval();
 
       draw();
-      canvas.absolutePan({x: xDisplacement+scaleFactor*b[0], y: 0});
+      let moveToX = percentScale ? getRenderXRangeForFrac()[0] : xDisplacement+scaleFactor*b[0];
+      canvas.absolutePan({x: moveToX, y: 0});
 
       // TODO: restrict min view to 300 NTs? (or e.g. scaleFactor <= 4)
   }
@@ -418,7 +420,7 @@ function loadAll() {
       this.requestRenderAll();
       this.lastPosX = e.clientX;
 
-      let [l,r] = getNTRangeForVPT();
+      let [l,r] = percentScale ? getFracForVPT() : getNTRangeForVPT();
       if(l < renderWindow[0] || r > renderWindow[1]) {
         updateRenderWindow();
         draw();
@@ -431,8 +433,16 @@ function loadAll() {
     this.isDragging = false;
     this.selection = true;
     if(!this.shades) {
+      // slid a genome
       this.shades = true;
       drawTestShades();
+      updateScalePos(); // adjust scale box to new sequence breadth
+      bindViewportToWindow();
+      let [l,r] = getFracForVPT();
+      if(l < renderWindow[0] || r > renderWindow[1]) {
+        updateRenderWindow();
+        draw();
+      }
     }
   });
   canvas.on('object:moving', function(opt) {
@@ -457,6 +467,9 @@ function loadAll() {
     //canvas.renderAll();
     this.setViewportTransform(this.viewportTransform);
     //this.previousEvent = opt;
+
+    setPercentScale();
+
     this.prev = opt.target.left;
   });
   canvas.on('mouse:wheel', function(opt) {
@@ -471,7 +484,7 @@ function loadAll() {
     if(newStart < 0) newStart = 0;
     if(newEnd > genomeMax) newEnd = genomeMax;
     if(newEnd - newStart < 50) return;
-    
+
     brush.extent([newStart, newEnd]);
     brush(d3.select(".brush").transition()); // if zoom is slow or choppy, try removing .transition()
     brush.event(d3.select(".brush"));
@@ -554,11 +567,12 @@ function loadAll() {
   });
   $('#brush_start, #brush_end').keydown(function(ev) {
       if (ev.which == 13) { // enter key
-          let start = parseInt($('#brush_start').val());
-          let end = parseInt($('#brush_end').val());
+          let [start, end] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())]
+                                          : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+          let endBound = percentScale ? 1 : genomeMax;
 
-          if (isNaN(start) || isNaN(end) || start < 0 || start > genomeMax || end < 0 || end > genomeMax) {
-              alert(`Invalid value, value needs to be in range 0-${genomeMax}.`);
+          if (isNaN(start) || isNaN(end) || start < 0 || start > endBound || end < 0 || end > endBound) {
+              alert(`Invalid value, value needs to be in range 0-${endBound}.`);
               return;
           }
 
@@ -577,7 +591,7 @@ function loadAll() {
 function draw(scaleX=scaleFactor) {
   canvas.clear()
   labelSpacing = 30 // reset to default value upon each draw() call
-  yOffset = 0 // reset 
+  yOffset = 0 // reset
   var y = marginTop;
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
 
@@ -868,9 +882,11 @@ function alignRulers() {
   for(genome of genomeData.genomes) {
     xDisps[genome[0]] = xDisplacement;
   }
-  // TODO: update viewport limits to 125 and -1*(genomeMax*scaleFactor-canvas.getWidth()),
-  //        once these limits are implemented based on individual genome displacements.
+  percentScale = false;
+  xScale.domain([0,genomeMax]);
   bindViewportToWindow();
+  updateScalePos();
+  updateRenderWindow();
   draw();
   $('#alignRulerBtn').blur();
 }
@@ -925,7 +941,7 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, orderIndex) {
     canvas.add(new fabric.Text(genomeLabel, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
   }
 
-  let [start, stop] = renderWindow.map(x => x*scaleX + xDisps[genomeID]);
+  let [start, stop] = percentScale ? getRenderXRangeForFrac() : renderWindow.map(x => x*scaleX + xDisps[genomeID]);
 
   // line
   let lineObj = new fabric.Line([start,0,stop,0], {
@@ -943,10 +959,9 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, orderIndex) {
 
   for(let geneID in gene_list) {
     let gene = gene_list[geneID];
-
-    if(gene.start < renderWindow[0]) continue;
-    if(gene.stop > renderWindow[1]) return;
-
+    let [ntStart, ntStop] = getRenderNTRange(genomeID);
+    if(gene.start < ntStart) continue;
+    if(gene.stop > ntStop) return;
     let genome = genomeData.genomes.find(g => g[0] == genomeID)[1];
     var geneObj = geneArrow(gene,geneID,genome.genes.functions[geneID],y,genomeID,arrowStyle,scaleX=scaleX);
     canvas.add(geneObj);
@@ -984,7 +999,7 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, orderIndex) {
 /*
  *  For each genome group, iterate additional layers beyond genome and render where appropriate
  */
-function addLayers(label, genome, genomeID, orderIndex){ 
+function addLayers(label, genome, genomeID, orderIndex){
   let additionalDataLayers = stateData['additional-data-layers'].find(group => group.genome == label)
   let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
 
@@ -996,12 +1011,12 @@ function addLayers(label, genome, genomeID, orderIndex){
     }
     if(layer == 'Coverage' && additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
       buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', orderIndex)
-    } 
+    }
     if(layer == 'GC_Content' && additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
       buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', orderIndex)
-    } 
+    }
   })
-  
+
   yOffset += spacing
 }
 
@@ -1015,8 +1030,8 @@ function buildNumericalDataLayer(layer, layerPos, genomeID, additionalDataLayers
     let layerHeight = spacing / maxGroupSize
     let pathDirective = [`M 0 0`]
 
-    for(let i = 0; i < additionalDataLayers[layer].length; i++){ 
-      additionalDataLayers[layer][i] > maxGCValue ? maxGCValue = additionalDataLayers[layer][i] : null 
+    for(let i = 0; i < additionalDataLayers[layer].length; i++){
+      additionalDataLayers[layer][i] > maxGCValue ? maxGCValue = additionalDataLayers[layer][i] : null
     }
 
     let nGroups = 20
@@ -1037,7 +1052,7 @@ function buildNumericalDataLayer(layer, layerPos, genomeID, additionalDataLayers
         fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
         selectable: false,
         objectCaching: false,
-        id : `${layer} graph`, 
+        id : `${layer} graph`,
         groupID : genomeID,
         genome : additionalDataLayers['genome']
       })
@@ -1060,8 +1075,9 @@ function buildGroupRulerLayer(genomeID, layerPos, orderIndex){
   for(let i = 0; i < nRulers; i++) {
     let ruler = new fabric.Group();
     for(; w < (i+1)*genomeMax/nRulers; w+=scaleInterval) {
-      if(w < renderWindow[0]) continue;
-      if(w > renderWindow[1]) break;
+      let [l,r] = getRenderNTRange(genomeID);
+      if(w < l) continue;
+      if(w > r) break;
       let tick = new fabric.Line([0,0,0,20], {left: (w*scaleFactor),
             stroke: 'black',
             strokeWidth: 1,
@@ -1197,6 +1213,7 @@ function getNTRangeForVPT() {
 function getFracForVPT() {
   let resolution = 4; // number of decimals to show
   let [x1, x2] = calcXBounds();
+  console.log((-1*canvas.viewportTransform[4] - x1) / (x2 - x1));
   let window_left = Math.round(10**resolution * (-1*canvas.viewportTransform[4] - x1) / (x2 - x1)) / 10**resolution;
   let window_right = Math.round(10**resolution * (window_left + (canvas.getWidth()) / (x2 - x1))) / 10**resolution;
   // if window is out of bounds, shift to be in bounds
@@ -1211,6 +1228,23 @@ function getFracForVPT() {
   return [window_left, window_right];
 }
 
+/*
+ *  @returns range of renderWindow x-positions for a given proportional range
+ */
+function getRenderXRangeForFrac() {
+  if(!percentScale) return null;
+  let [l,r] = calcXBounds();
+  let [x1, x2] = renderWindow.map(x => l+x*(r-l));
+  return [x1, x2];
+}
+
+function getRenderNTRange(genomeID) {
+  if(!percentScale) return renderWindow;
+  let [l,r] = calcXBounds();
+  let [start, end] = getRenderXRangeForFrac().map(x => x/scaleFactor - xDisps[genomeID]/scaleFactor);
+  return [clamp(start,0,genomeMax), clamp(end,0,genomeMax)];
+}
+
 /*
  *  Resets viewport if outside bounds of the view window, with padding on each end
  */
@@ -1237,6 +1271,20 @@ function calcXBounds() {
   return [min, max + scaleFactor*genomeMax];
 }
 
+/*
+ *  Toggles scale between nt range and proportional range
+ */
+function setPercentScale() {
+  if(!percentScale) {
+    percentScale = true;
+    //console.log(brush.domain());
+    //var xScale = d3.scale.linear().range([0, scaleWidth]).domain([0,genomeMax]);
+    xScale.domain([0,1]);
+  } else {
+
+  }
+}
+
 function getCategoryForKEGGClass(class_str) {
   if(class_str == null) return null;
 
@@ -1294,8 +1342,8 @@ function buildGenomesTable(genomes, order){
 }
 
 function buildGroupLayersTable(layerLabel){
-  var height = '50'; 
-  var margin = '25'; 
+  var height = '50';
+  var margin = '25';
   var template = '<tr id={layerLabel}>' +
                   '<td><img src="images/drag.gif" class="drag-icon" id={layerLabel} /></td>' +
                   '<td> {layerLabel} </td>' +
@@ -1303,10 +1351,10 @@ function buildGroupLayersTable(layerLabel){
                   '<td>n/a</td>' +
                   '<td>n/a</td>' +
                   '<td><input type="checkbox" class="additional_selectors" id={layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>' +
-                  '</tr>'; 
+                  '</tr>';
   template = template.replace(new RegExp('{height}', 'g'), height)
                      .replace(new RegExp('{margin}', 'g'), margin)
-                     .replace(new RegExp('{layerLabel}', 'g'), layerLabel);   
+                     .replace(new RegExp('{layerLabel}', 'g'), layerLabel);
   $('#tbody_additionalDataLayers').append(template);
   $("#tbody_additionalDataLayers").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).disableSelection();
 
@@ -1320,7 +1368,7 @@ function toggleAdditionalDataLayer(e){
 
   if(e.target.checked){
     stateData['display']['additionalDataLayers'][layer] = true
-    maxGroupSize += 1 
+    maxGroupSize += 1
   } else {
     stateData['display']['additionalDataLayers'][layer] = false
     maxGroupSize -= 1 // decrease group height if hiding the layer
@@ -1384,7 +1432,7 @@ function adjustScaleInterval() {
  *  Update scale info to match viewport location.
  */
 function updateScalePos() {
-  let [newStart, newEnd] = getNTRangeForVPT();
+  let [newStart, newEnd] = percentScale ? getFracForVPT() : getNTRangeForVPT();
   brush.extent([newStart, newEnd]);
   brush(d3.select(".brush").transition());
   $('#brush_start').val(newStart);
@@ -1395,9 +1443,16 @@ function updateScalePos() {
  *  Update render window based on scale box position
  */
 function updateRenderWindow() {
-  let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-  let diff = end - start > 10000 ? Math.floor((end - start)/2) : 5000;
-  renderWindow = [clamp(start - diff, 0, genomeMax), clamp(end + diff, 0, genomeMax)];
+  if(percentScale) {
+    let resolution = 4; // # decimals to show for renderw window
+    let [start, end] = [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())];
+    let diff = end - start > 0.1 ? Math.round(10**resolution*(end - start) / 2)/10**resolution : 0.05;
+    renderWindow = [clamp(start - diff, 0, 1), clamp(end + diff, 0, 1)];
+  } else {
+    let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+    let diff = end - start > 10000 ? Math.floor((end - start)/2) : 5000;
+    renderWindow = [clamp(start - diff, 0, genomeMax), clamp(end + diff, 0, genomeMax)];
+  }
 }
 
 /*
@@ -1406,15 +1461,15 @@ function updateRenderWindow() {
 function createBookmark(){
   if(!$('#create_bookmark_input').val()){
     alert('please provide a name for your bookmark :)')
-    return 
+    return
   }
   try {
     stateData['display']['bookmarks'].push(
       {
-        name : $('#create_bookmark_input').val(), 
-        start : $('#brush_start').val(), 
+        name : $('#create_bookmark_input').val(),
+        start : $('#brush_start').val(),
         stop : $('#brush_end').val(),
-        description : $('#create_bookmark_description').val(),  
+        description : $('#create_bookmark_description').val(),
       }
     )
     alert('bookmark successfully created :)')
@@ -1433,8 +1488,8 @@ function respondToBookmarkSelect(){
     $('#brush_end').val(stop);
     brush.extent([start, stop]);
         brush(d3.select(".brush").transition());
-        brush.event(d3.select(".brush").transition());  
-        
+        brush.event(d3.select(".brush").transition());
+
     let selectedBookmark = stateData['display']['bookmarks'].find(bookmark => bookmark.start == start && bookmark.stop == stop)
     $('#bookmark-description').text(selectedBookmark['description'])
   })
@@ -1444,7 +1499,7 @@ function respondToBookmarkSelect(){
  *  adds an alternating shade to each genome group for easier visual distinction amongst adjacent groups
  */
 function addBackgroundShade(top, left, width, height, orderIndex){
-  let backgroundShade; 
+  let backgroundShade;
   orderIndex % 2 == 0 ? backgroundShade = '#b8b8b8' : backgroundShade = '#f5f5f5'
 
   let background = new fabric.Rect({

From e7f204b4ba697c142e3f78f8d822da517342709c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 12 Aug 2021 17:17:43 -0500
Subject: [PATCH 0234/1020] cleanup

---
 anvio/data/interactive/js/genomeview.js | 28 +++++++------------------
 1 file changed, 8 insertions(+), 20 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 18044707c6..01d3af9209 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -128,7 +128,6 @@ function processState(stateName, stateData){
     generateMockADL()
   }
 
-
   // working under the assumption that all genome groups with contain the same additional data layers,
   // we can query the first genome group for specific ADL and go from there
   buildGroupLayersTable('Genome')
@@ -205,12 +204,10 @@ function processState(stateName, stateData){
     respondToBookmarkSelect()
   }
 
-
   function generateMockADL(){
     for(let i = 0; i < genomeData.genomes.length; i++){ // generate mock additional data layer content
       let gcContent = []
       let coverage = []
-
       for(let j = 0; j < genomeMax; j++){
         gcContent.push(Math.floor(Math.random() * 45))
         coverage.push(Math.floor(Math.random() * 45))
@@ -759,7 +756,7 @@ function alignToCluster(gc) {
       drawTestShades();
     }
   }
-    }
+}
 
 /*
  * Pan viewport to the first gene in the target gene cluster.
@@ -786,8 +783,8 @@ function viewCluster(gc) {
       genes.push({genomeID:genome[0],geneID:targetGeneID});
       if(first) {
         geneMid = targetGene.start + (targetGene.stop - targetGene.start) / 2;
-      canvas.absolutePan({x: scaleFactor*geneMid + xDisps[genome[0]] - canvas.getWidth()/2, y: 0});
-      canvas.viewportTransform[4] = clamp(canvas.viewportTransform[4], canvas.getWidth() - genomeMax*scaleFactor - xDisps[genome[0]] - 125, 125);
+        canvas.absolutePan({x: scaleFactor*geneMid + xDisps[genome[0]] - canvas.getWidth()/2, y: 0});
+        canvas.viewportTransform[4] = clamp(canvas.viewportTransform[4], canvas.getWidth() - genomeMax*scaleFactor - xDisps[genome[0]] - 125, 125);
         firstGenomeID = genome[0];
         first = false;
       }
@@ -799,8 +796,8 @@ function viewCluster(gc) {
     return (first ? null : [firstGenomeID, geneMid]);
   } else {
     console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
-  return null;
-}
+    return null;
+  }
 }
 
 /*
@@ -1016,7 +1013,6 @@ function addLayers(label, genome, genomeID, orderIndex){
       buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', orderIndex)
     }
   })
-
   yOffset += spacing
 }
 
@@ -1213,7 +1209,6 @@ function getNTRangeForVPT() {
 function getFracForVPT() {
   let resolution = 4; // number of decimals to show
   let [x1, x2] = calcXBounds();
-  console.log((-1*canvas.viewportTransform[4] - x1) / (x2 - x1));
   let window_left = Math.round(10**resolution * (-1*canvas.viewportTransform[4] - x1) / (x2 - x1)) / 10**resolution;
   let window_right = Math.round(10**resolution * (window_left + (canvas.getWidth()) / (x2 - x1))) / 10**resolution;
   // if window is out of bounds, shift to be in bounds
@@ -1272,17 +1267,11 @@ function calcXBounds() {
 }
 
 /*
- *  Toggles scale between nt range and proportional range
+ *  Replaces nt scale with a 0-1 proportional scale
  */
 function setPercentScale() {
-  if(!percentScale) {
-    percentScale = true;
-    //console.log(brush.domain());
-    //var xScale = d3.scale.linear().range([0, scaleWidth]).domain([0,genomeMax]);
-    xScale.domain([0,1]);
-  } else {
-
-  }
+  percentScale = true;
+  xScale.domain([0,1]);
 }
 
 function getCategoryForKEGGClass(class_str) {
@@ -1489,7 +1478,6 @@ function respondToBookmarkSelect(){
     brush.extent([start, stop]);
         brush(d3.select(".brush").transition());
         brush.event(d3.select(".brush").transition());
-
     let selectedBookmark = stateData['display']['bookmarks'].find(bookmark => bookmark.start == start && bookmark.stop == stop)
     $('#bookmark-description').text(selectedBookmark['description'])
   })

From 2e5841822ba170849463c5519fd2c15df7c2b175 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 12 Aug 2021 17:21:21 -0500
Subject: [PATCH 0235/1020] account for render window of ADLs, too

---
 anvio/data/interactive/js/genomeview.js | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 01d3af9209..58f58e564d 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1032,10 +1032,11 @@ function buildNumericalDataLayer(layer, layerPos, genomeID, additionalDataLayers
 
     let nGroups = 20
     let j = 0
+    let [l,r] = getRenderNTRange(genomeID);
     for(let i = 0; i < nGroups; i++) {
       for(; j < i*genomeMax/nGroups; j+=ptInterval){
-        if(j < renderWindow[0]) continue;
-        if(j > renderWindow[1]) break;
+        if(j < l) continue;
+        if(j > r) break;
         let left = j * scaleFactor + startingLeft
         let top = [additionalDataLayers[layer][j] / maxGCValue] * layerHeight
         let segment = `L ${left} ${top}`
@@ -1068,10 +1069,10 @@ function buildGroupRulerLayer(genomeID, layerPos, orderIndex){
   // split ruler into several objects to avoid performance cost of large object pixel size
   let nRulers = 20;
   let w = 0;
+  let [l,r] = getRenderNTRange(genomeID);
   for(let i = 0; i < nRulers; i++) {
     let ruler = new fabric.Group();
     for(; w < (i+1)*genomeMax/nRulers; w+=scaleInterval) {
-      let [l,r] = getRenderNTRange(genomeID);
       if(w < l) continue;
       if(w > r) break;
       let tick = new fabric.Line([0,0,0,20], {left: (w*scaleFactor),

From 378ac316e7559ddcd89d1eb8dc66eeec76ca6d02 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 12 Aug 2021 17:23:38 -0500
Subject: [PATCH 0236/1020] fix

---
 anvio/data/interactive/js/genomeview.js | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 58f58e564d..7dc679a660 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -417,11 +417,9 @@ function loadAll() {
       this.requestRenderAll();
       this.lastPosX = e.clientX;
 
-      let [l,r] = percentScale ? getFracForVPT() : getNTRangeForVPT();
-      if(l < renderWindow[0] || r > renderWindow[1]) {
-        updateRenderWindow();
-        draw();
-      }
+      /* TODO: find a way to check boundaries for each individual genome so we don't have to redraw every time */
+      updateRenderWindow();
+      draw();
     }
   });
   canvas.on('mouse:up', function(opt) {

From 438a588d864300c118155187ed42e3eada28892a Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 12 Aug 2021 17:58:28 -0500
Subject: [PATCH 0237/1020] draw new scale markers for proportional range

---
 anvio/data/interactive/js/genomeview.js | 140 ++++++++++++------------
 1 file changed, 72 insertions(+), 68 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 7dc679a660..a4168e0b78 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -23,7 +23,6 @@
 
  var canvas;
  var genomeLabelsCanvas;
- var brush;
  var genomeMax = 0;
 
  // Settings vars
@@ -47,7 +46,8 @@
  var maxGroupSize = 2 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer + group ruler.
  let percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
  var renderWindow = [];
- var xScale;
+ var brush;
+ var scaleWidth, scaleHeight;
 
  var alignToGC = null;
 
@@ -252,75 +252,16 @@ function loadAll() {
   // Find max length genome
   calculateMaxGenomeLength()
 
-  var scaleWidth = canvas.getWidth();
-  var scaleHeight = 100;
+  scaleWidth = canvas.getWidth();
+  scaleHeight = 100;
 
-  xScale = d3.scale.linear().range([0, scaleWidth]).domain([0,genomeMax]);
-
-  var scaleAxis = d3.svg.axis()
-              .scale(xScale)
-              .tickSize(scaleHeight);
-
-  var scaleArea = d3.svg.area()
-              .interpolate("monotone")
-              .x(function(d) { return xScale(d); })
-              .y0(scaleHeight)
-              .y1(0);
-
-  brush = d3.svg.brush()
-              .x(xScale)
-              .on("brushend", onBrush);
+  drawScale();
 
   $("#scaleSvg").attr("width", scaleWidth + 10);
 
-  var scaleBox = d3.select("#scaleSvg").append("g")
-              .attr("id", "scaleBox")
-              .attr("class","scale")
-              .attr("y", 230)
-              .attr("transform", "translate(5,0)");
-
-  scaleBox.append("g")
-              .attr("class", "x axis top noselect")
-              .attr("transform", "translate(0,0)")
-              .call(scaleAxis);
-
-  scaleBox.append("g")
-              .attr("class", "x brush")
-              .call(brush)
-              .selectAll("rect")
-              .attr("y", 0)
-              .attr("height", scaleHeight);
-
   $('#brush_start').val(0);
   $('#brush_end').val(Math.floor(scaleWidth));
 
-  function onBrush(){
-      var b = brush.empty() ? xScale.domain() : brush.extent();
-
-      if (brush.empty()) {
-          $('.btn-selection-sequence').addClass('disabled').prop('disabled', true);
-      } else {
-          $('.btn-selection-sequence').removeClass('disabled').prop('disabled', false);
-      }
-
-      if(!percentScale) b = [Math.floor(b[0]), Math.floor(b[1])];
-
-      $('#brush_start').val(b[0]);
-      $('#brush_end').val(b[1]);
-
-      let ntsToShow = b[1] - b[0];
-      scaleFactor = percentScale ? canvas.getWidth()/(ntsToShow*genomeMax) : canvas.getWidth()/ntsToShow;
-      updateRenderWindow();
-
-      if(dynamicScaleInterval) adjustScaleInterval();
-
-      draw();
-      let moveToX = percentScale ? getRenderXRangeForFrac()[0] : xDisplacement+scaleFactor*b[0];
-      canvas.absolutePan({x: moveToX, y: 0});
-
-      // TODO: restrict min view to 300 NTs? (or e.g. scaleFactor <= 4)
-  }
-
   $('#tooltip-body').hide() // set initual tooltip hide value
   $('#show_genome_labels_box').attr("checked", showLabels);
   $('#show_gene_labels_box').attr("checked", showGeneLabels);
@@ -524,7 +465,7 @@ function loadAll() {
   });
   $('#genome_scale_interval').on('keydown', function(e) {
     if(e.keyCode == 13) { // 13 = enter key
-      setScale($(this).val());
+      setScaleInterval($(this).val());
       $(this).blur();
     }
   });
@@ -878,7 +819,7 @@ function alignRulers() {
     xDisps[genome[0]] = xDisplacement;
   }
   percentScale = false;
-  xScale.domain([0,genomeMax]);
+  drawScale();
   bindViewportToWindow();
   updateScalePos();
   updateRenderWindow();
@@ -897,7 +838,7 @@ function setGenomeSpacing(newSpacing) {
   draw();
 }
 
-function setScale(newScale) {
+function setScaleInterval(newScale) {
   if(isNaN(newScale)) return;
   newScale = parseInt(newScale);
   if(newScale < 50) {
@@ -1270,7 +1211,70 @@ function calcXBounds() {
  */
 function setPercentScale() {
   percentScale = true;
-  xScale.domain([0,1]);
+  drawScale();
+}
+
+function drawScale() {
+  let domain = percentScale ? [0,1] : [0,genomeMax];
+  let xScale = d3.scale.linear().range([0, scaleWidth]).domain(domain);
+  let scaleAxis = d3.svg.axis()
+              .scale(xScale)
+              .tickSize(scaleHeight);
+  let scaleArea = d3.svg.area()
+              .interpolate("monotone")
+              .x(function(d) { return xScale(d); })
+              .y0(scaleHeight)
+              .y1(0);
+  brush = d3.svg.brush()
+              .x(xScale)
+              .on("brushend", onBrush);
+
+  $('#scaleSvg').empty();
+  let scaleBox = d3.select("#scaleSvg").append("g")
+              .attr("id", "scaleBox")
+              .attr("class","scale")
+              .attr("y", 230)
+              .attr("transform", "translate(5,0)");
+
+  scaleBox.append("g")
+              .attr("id", "scaleMarkers")
+              .attr("class", "x axis top noselect")
+              .attr("transform", "translate(0,0)")
+              .call(scaleAxis);
+
+  scaleBox.append("g")
+              .attr("class", "x brush")
+              .call(brush)
+              .selectAll("rect")
+              .attr("y", 0)
+              .attr("height", scaleHeight);
+
+  function onBrush(){
+      var b = brush.empty() ? xScale.domain() : brush.extent();
+
+      if (brush.empty()) {
+          $('.btn-selection-sequence').addClass('disabled').prop('disabled', true);
+      } else {
+          $('.btn-selection-sequence').removeClass('disabled').prop('disabled', false);
+      }
+
+      if(!percentScale) b = [Math.floor(b[0]), Math.floor(b[1])];
+
+      $('#brush_start').val(b[0]);
+      $('#brush_end').val(b[1]);
+
+      let ntsToShow = b[1] - b[0];
+      scaleFactor = percentScale ? canvas.getWidth()/(ntsToShow*genomeMax) : canvas.getWidth()/ntsToShow;
+      updateRenderWindow();
+
+      if(dynamicScaleInterval) adjustScaleInterval();
+
+      draw();
+      let moveToX = percentScale ? getRenderXRangeForFrac()[0] : xDisplacement+scaleFactor*b[0];
+      canvas.absolutePan({x: moveToX, y: 0});
+
+      // TODO: restrict min view to 300 NTs? (or e.g. scaleFactor <= 4)
+  }
 }
 
 function getCategoryForKEGGClass(class_str) {

From 0cb17384e9b259176527535d527b0aac26836e13 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 12 Aug 2021 17:58:49 -0500
Subject: [PATCH 0238/1020] deprecated

---
 anvio/data/interactive/js/genomeview.js | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index a4168e0b78..2c87865c9e 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1297,10 +1297,6 @@ function clamp(num, min, max) {
   return Math.min(Math.max(num, min), max);
 }
 
-function resetScale(){
-  canvas.setZoom(1)
-}
-
 function buildGenomesTable(genomes, order){
   genomes.map(genome => {
     var height = '50';

From 665c7eb6c8e0ab85fd79d426c5e5a7d97840d6a3 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 12 Aug 2021 18:05:34 -0500
Subject: [PATCH 0239/1020] cosmetics

---
 anvio/data/interactive/js/genomeview.js | 12 +++++-------
 1 file changed, 5 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 2c87865c9e..308dc82545 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -47,7 +47,6 @@
  let percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
  var renderWindow = [];
  var brush;
- var scaleWidth, scaleHeight;
 
  var alignToGC = null;
 
@@ -252,13 +251,8 @@ function loadAll() {
   // Find max length genome
   calculateMaxGenomeLength()
 
-  scaleWidth = canvas.getWidth();
-  scaleHeight = 100;
-
   drawScale();
 
-  $("#scaleSvg").attr("width", scaleWidth + 10);
-
   $('#brush_start').val(0);
   $('#brush_end').val(Math.floor(scaleWidth));
 
@@ -1215,6 +1209,8 @@ function setPercentScale() {
 }
 
 function drawScale() {
+  let scaleWidth = canvas.getWidth();
+  let scaleHeight = 100;
   let domain = percentScale ? [0,1] : [0,genomeMax];
   let xScale = d3.scale.linear().range([0, scaleWidth]).domain(domain);
   let scaleAxis = d3.svg.axis()
@@ -1234,7 +1230,7 @@ function drawScale() {
               .attr("id", "scaleBox")
               .attr("class","scale")
               .attr("y", 230)
-              .attr("transform", "translate(5,0)");
+              .attr("transform", percentScale ? "translate(10,0)" : "translate(5,0)");
 
   scaleBox.append("g")
               .attr("id", "scaleMarkers")
@@ -1249,6 +1245,8 @@ function drawScale() {
               .attr("y", 0)
               .attr("height", scaleHeight);
 
+  $("#scaleSvg").attr("width", percentScale ? scaleWidth + 20 : scaleWidth + 10);
+
   function onBrush(){
       var b = brush.empty() ? xScale.domain() : brush.extent();
 

From 53e83ddb84afac77412b0239a7d460d647b650f3 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 13 Aug 2021 17:48:51 +0000
Subject: [PATCH 0240/1020] bug fixy

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 308dc82545..768aea3ee2 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -254,7 +254,7 @@ function loadAll() {
   drawScale();
 
   $('#brush_start').val(0);
-  $('#brush_end').val(Math.floor(scaleWidth));
+  $('#brush_end').val(Math.floor(canvas.getWidth()));
 
   $('#tooltip-body').hide() // set initual tooltip hide value
   $('#show_genome_labels_box').attr("checked", showLabels);

From 7744433b72b56dabaebf78d14855673dd8da579d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 13 Aug 2021 14:41:03 -0500
Subject: [PATCH 0241/1020] fix

---
 anvio/data/interactive/js/genomeview.js | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 768aea3ee2..70660d16b9 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -872,6 +872,8 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, orderIndex) {
   }
 
   let [start, stop] = percentScale ? getRenderXRangeForFrac() : renderWindow.map(x => x*scaleX + xDisps[genomeID]);
+  start = clamp(start, calcXBounds()[0], calcXBounds()[1]);
+  stop = clamp(stop, calcXBounds()[0], calcXBounds()[1]);
 
   // line
   let lineObj = new fabric.Line([start,0,stop,0], {

From 1b754c4b893abb3ccb1661177e2e65edbc61fcd0 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 14 Aug 2021 04:04:50 -0500
Subject: [PATCH 0242/1020] refactor nitty gritty details from draw() into
 addGenome()

---
 anvio/data/interactive/js/genomeview.js | 44 ++++++++++++++-----------
 1 file changed, 25 insertions(+), 19 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 70660d16b9..a9f1636baf 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -352,9 +352,11 @@ function loadAll() {
       this.requestRenderAll();
       this.lastPosX = e.clientX;
 
-      /* TODO: find a way to check boundaries for each individual genome so we don't have to redraw every time */
-      updateRenderWindow();
-      draw();
+      let [l,r] = getFracForVPT();
+      if(l < renderWindow[0] || r > renderWindow[1]) {
+        updateRenderWindow();
+        draw();
+      }
     }
   });
   canvas.on('mouse:up', function(opt) {
@@ -368,11 +370,11 @@ function loadAll() {
       drawTestShades();
       updateScalePos(); // adjust scale box to new sequence breadth
       bindViewportToWindow();
-      let [l,r] = getFracForVPT();
-      if(l < renderWindow[0] || r > renderWindow[1]) {
-        updateRenderWindow();
-        draw();
-      }
+      updateRenderWindow();
+      draw();
+
+      /* TODO: find a way to check boundaries for each individual genome so we don't have to redraw every time */
+      /* Goal: redraw only relevant genome/ADLs rather than entire view for performance! */
     }
   });
   canvas.on('object:moving', function(opt) {
@@ -518,19 +520,17 @@ function loadAll() {
   });
 }
 
-function draw(scaleX=scaleFactor) {
+function draw() {
   canvas.clear()
   labelSpacing = 30 // reset to default value upon each draw() call
   yOffset = 0 // reset
-  var y = marginTop;
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
 
   genomeData['genomes'].map((genome, idx) => {
     let label = genome[1].genes.gene_calls[0].contig;
-    addGenome(label, genome[1].genes.gene_calls, genome[0], y, scaleX=scaleX, idx)
+    addGenome(idx)
     addLayers(label, genome[1], genome[0], idx)
     labelSpacing += 30
-    y+=spacing;
   })
 
   checkGeneLabels();
@@ -865,13 +865,19 @@ function setGenomeLabelSize(newSize) {
   if(showLabels) draw();
 }
 
-function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, orderIndex) {
+function addGenome(orderIndex) {
+  let genome = genomeData.genomes[orderIndex];
+  let gene_list = genome[1].genes.gene_calls;
+  let genomeLabel = gene_list[0].contig;
+  let genomeID = genome[0];
+
+  let y = marginTop + orderIndex*spacing;
   let layerHeight = spacing / maxGroupSize
   if(showLabels) {
     canvas.add(new fabric.Text(genomeLabel, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
   }
 
-  let [start, stop] = percentScale ? getRenderXRangeForFrac() : renderWindow.map(x => x*scaleX + xDisps[genomeID]);
+  let [start, stop] = percentScale ? getRenderXRangeForFrac() : renderWindow.map(x => x*scaleFactor + xDisps[genomeID]);
   start = clamp(start, calcXBounds()[0], calcXBounds()[1]);
   stop = clamp(stop, calcXBounds()[0], calcXBounds()[1]);
 
@@ -895,7 +901,7 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, orderIndex) {
     if(gene.start < ntStart) continue;
     if(gene.stop > ntStop) return;
     let genome = genomeData.genomes.find(g => g[0] == genomeID)[1];
-    var geneObj = geneArrow(gene,geneID,genome.genes.functions[geneID],y,genomeID,arrowStyle,scaleX=scaleX);
+    var geneObj = geneArrow(gene,geneID,genome.genes.functions[geneID],y,genomeID,arrowStyle);
     canvas.add(geneObj);
 
     if(showGeneLabels) {
@@ -904,7 +910,7 @@ function addGenome(genomeLabel, gene_list, genomeID, y, scaleX=1, orderIndex) {
         groupID: genomeID,
         fontSize: geneLabelSize,
         angle: geneLabelPos == "slanted" ? -10 : 0,
-        left: xDisps[genomeID]+(gene.start+50)*scaleX,
+        left: xDisps[genomeID]+(gene.start+50)*scaleFactor,
         scaleX: 0.5,
         scaleY: 0.5,
         hasControls: false,
@@ -1039,7 +1045,7 @@ function buildGroupRulerLayer(genomeID, layerPos, orderIndex){
   addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
 }
 
-function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {
+function geneArrow(gene, geneID, functions, y, genomeID, style) {
   var cag = null;
   var color = 'gray';
   if(functions) {
@@ -1067,7 +1073,7 @@ function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {
   }
   /* Issue here: each genome might be differentially annotated... how to make sure all have COG annotations for example? */
 
-  let length = (gene.stop-gene.start)*scaleX;
+  let length = (gene.stop-gene.start)*scaleFactor;
   let stemLength = length-25 > 0 ? length-25 : 0;
 
   var arrowPathStr;
@@ -1098,7 +1104,7 @@ function geneArrow(gene, geneID, functions, y, genomeID, style, scaleX=1) {
     geneID: geneID,
     genomeID: genomeID,
     top: style == 3 ? y-17 : y-11,
-    left: xDisps[genomeID] + (1.5+gene.start)*scaleX,
+    left: xDisps[genomeID] + (1.5+gene.start)*scaleFactor,
     fill: color,
     stroke: 'gray',
     strokeWidth: style == 3 ? 3 : 1.5

From b51a818b2247c41c45a3e441e02a7ba5762c78be Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 14 Aug 2021 04:17:42 -0500
Subject: [PATCH 0243/1020] ADLs too!

---
 anvio/data/interactive/js/genomeview.js | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index a9f1636baf..9cbcd81549 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -523,13 +523,11 @@ function loadAll() {
 function draw() {
   canvas.clear()
   labelSpacing = 30 // reset to default value upon each draw() call
-  yOffset = 0 // reset
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
 
   genomeData['genomes'].map((genome, idx) => {
-    let label = genome[1].genes.gene_calls[0].contig;
     addGenome(idx)
-    addLayers(label, genome[1], genome[0], idx)
+    addLayers(idx)
     labelSpacing += 30
   })
 
@@ -937,7 +935,12 @@ function addGenome(orderIndex) {
 /*
  *  For each genome group, iterate additional layers beyond genome and render where appropriate
  */
-function addLayers(label, genome, genomeID, orderIndex){
+function addLayers(orderIndex){
+  yOffset = orderIndex * spacing;
+  let genomeID = genomeData.genomes[orderIndex][0];
+  let genome = genomeData.genomes[orderIndex][1];
+  let label = genome.genes.gene_calls[0].contig;
+
   let additionalDataLayers = stateData['additional-data-layers'].find(group => group.genome == label)
   let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
 
@@ -954,7 +957,6 @@ function addLayers(label, genome, genomeID, orderIndex){
       buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', orderIndex)
     }
   })
-  yOffset += spacing
 }
 
 /*

From 928a512a45771ec11505e62b9e0a793e27effe6f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 14 Aug 2021 04:30:12 -0500
Subject: [PATCH 0244/1020] now we can redraw a specific genome instead of the
 entire view!

---
 anvio/data/interactive/js/genomeview.js | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 9cbcd81549..33331e896a 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -868,8 +868,8 @@ function addGenome(orderIndex) {
   let gene_list = genome[1].genes.gene_calls;
   let genomeLabel = gene_list[0].contig;
   let genomeID = genome[0];
-
   let y = marginTop + orderIndex*spacing;
+
   let layerHeight = spacing / maxGroupSize
   if(showLabels) {
     canvas.add(new fabric.Text(genomeLabel, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
@@ -1116,6 +1116,13 @@ function geneArrow(gene, geneID, functions, y, genomeID, style) {
   return arrow;
 }
 
+function redrawGenome(genomeID) {
+  for(obj of canvas.getObjects().filter(o => o.groupID == genomeID)) canvas.remove(obj);
+  let idx = genomeData.genomes.findIndex(obj => obj[0] == genomeID);
+  addGenome(idx);
+  addLayers(idx);
+}
+
 function toggleSettingsPanel() {
     $('#settings-panel').toggle();
 

From c195631d9437ca227e73e268d5c4a46a83d0692b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 14 Aug 2021 04:37:11 -0500
Subject: [PATCH 0245/1020] only re-render target genome after sliding it

---
 anvio/data/interactive/js/genomeview.js | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 33331e896a..365570f0ce 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -368,13 +368,11 @@ function loadAll() {
       // slid a genome
       this.shades = true;
       drawTestShades();
-      updateScalePos(); // adjust scale box to new sequence breadth
       bindViewportToWindow();
+      updateScalePos(); // adjust scale box to new sequence breadth
       updateRenderWindow();
-      draw();
 
-      /* TODO: find a way to check boundaries for each individual genome so we don't have to redraw every time */
-      /* Goal: redraw only relevant genome/ADLs rather than entire view for performance! */
+      redrawGenome(opt.target.groupID);
     }
   });
   canvas.on('object:moving', function(opt) {

From ffd6fc5d5d3f47393ff33a893e16a43b6b1cc379 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 14 Aug 2021 13:42:32 -0500
Subject: [PATCH 0246/1020] fix gene links for proportional scale

---
 anvio/data/interactive/js/genomeview.js | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 365570f0ce..7d4c9280f3 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -597,7 +597,8 @@ function shadeGeneClusters(geneClusters, colors) {
         g2.push(genomeB[geneID].start, genomeB[geneID].stop);
       }
 
-      if(g1[0] < renderWindow[0] || g1[1] > renderWindow[1] || g2[0] < renderWindow[0] || g2[1] > renderWindow[1]) break;
+      let [l,r] = getRenderNTRange();
+      if(g1[0] < l || g1[1] > r || g2[0] < l || g2[1] > r) break;
 
       g1 = g1.map(val => val*scaleFactor + xDisps[genomeID_A]);
       g2 = g2.map(val => val*scaleFactor + xDisps[genomeID_B]);

From 02c711153af9aff0e8766e7511183b018c14e74e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 14 Aug 2021 13:49:00 -0500
Subject: [PATCH 0247/1020] fix

---
 anvio/data/interactive/js/genomeview.js | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 7d4c9280f3..086e75d67f 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1500,10 +1500,13 @@ function respondToBookmarkSelect(){
  *  adds an alternating shade to each genome group for easier visual distinction amongst adjacent groups
  */
 function addBackgroundShade(top, left, width, height, orderIndex){
+  canvas.getObjects().filter(o => o.id == 'background').map(obj => canvas.remove(obj));
+
   let backgroundShade;
   orderIndex % 2 == 0 ? backgroundShade = '#b8b8b8' : backgroundShade = '#f5f5f5'
 
   let background = new fabric.Rect({
+    id: 'background',
     top: top,
     left: left,
     width: width,

From a94e5ae22c5d6b614b1045f88ea187757269efa7 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 14 Aug 2021 13:51:43 -0500
Subject: [PATCH 0248/1020] better iterator

---
 anvio/data/interactive/js/genomeview.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 086e75d67f..f1fee4ab96 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1116,7 +1116,7 @@ function geneArrow(gene, geneID, functions, y, genomeID, style) {
 }
 
 function redrawGenome(genomeID) {
-  for(obj of canvas.getObjects().filter(o => o.groupID == genomeID)) canvas.remove(obj);
+  canvas.getObjects().filter(o => o.groupID == genomeID).forEach(obj => canvas.remove(obj));
   let idx = genomeData.genomes.findIndex(obj => obj[0] == genomeID);
   addGenome(idx);
   addLayers(idx);
@@ -1500,7 +1500,7 @@ function respondToBookmarkSelect(){
  *  adds an alternating shade to each genome group for easier visual distinction amongst adjacent groups
  */
 function addBackgroundShade(top, left, width, height, orderIndex){
-  canvas.getObjects().filter(o => o.id == 'background').map(obj => canvas.remove(obj));
+  canvas.getObjects().filter(o => o.id == 'background').forEach(obj => canvas.remove(obj));
 
   let backgroundShade;
   orderIndex % 2 == 0 ? backgroundShade = '#b8b8b8' : backgroundShade = '#f5f5f5'

From fcd6dfa7a62096a2212a02ddb51ed85d5f485bab Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 14 Aug 2021 14:42:32 -0500
Subject: [PATCH 0249/1020] fix v2

---
 anvio/data/interactive/js/genomeview.js | 16 +++++++++-------
 1 file changed, 9 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index f1fee4ab96..723dc4b50d 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -587,6 +587,8 @@ function shadeGeneClusters(geneClusters, colors) {
     let genomeB = genomeData.genomes[i+1][1].genes.gene_calls;
     let genomeID_A = genomeData.genomes[i][0];
     let genomeID_B = genomeData.genomes[i+1][0];
+    let [l1,r1] = getRenderNTRange(genomeID_A);
+    let [l2,r2] = getRenderNTRange(genomeID_B);
 
     for(gc of geneClusters) {
       let g1 = [], g2 = [];
@@ -597,8 +599,9 @@ function shadeGeneClusters(geneClusters, colors) {
         g2.push(genomeB[geneID].start, genomeB[geneID].stop);
       }
 
-      let [l,r] = getRenderNTRange();
-      if(g1[0] < l || g1[1] > r || g2[0] < l || g2[1] > r) break;
+      // if shades outside render bounds, don't draw them
+      if(g1[1] < l1 && g2[1] < l2) continue;
+      if(g1[0] > r1 && g2[0] > r2) break;
 
       g1 = g1.map(val => val*scaleFactor + xDisps[genomeID_A]);
       g2 = g2.map(val => val*scaleFactor + xDisps[genomeID_B]);
@@ -890,7 +893,7 @@ function addGenome(orderIndex) {
         hasBorders: false,
         lockScaling: true});
   canvas.add(lineObj);
-  addBackgroundShade(y, start, genomeMax, layerHeight, orderIndex)
+  addBackgroundShade(y, xDisps[genomeID], genomeMax, layerHeight, orderIndex)
 
   for(let geneID in gene_list) {
     let gene = gene_list[geneID];
@@ -1120,6 +1123,7 @@ function redrawGenome(genomeID) {
   let idx = genomeData.genomes.findIndex(obj => obj[0] == genomeID);
   addGenome(idx);
   addLayers(idx);
+  checkGeneLabels();
 }
 
 function toggleSettingsPanel() {
@@ -1186,7 +1190,7 @@ function getRenderXRangeForFrac() {
 function getRenderNTRange(genomeID) {
   if(!percentScale) return renderWindow;
   let [l,r] = calcXBounds();
-  let [start, end] = getRenderXRangeForFrac().map(x => x/scaleFactor - xDisps[genomeID]/scaleFactor);
+  let [start, end] = getRenderXRangeForFrac().map(x => (x-xDisps[genomeID])/scaleFactor);
   return [clamp(start,0,genomeMax), clamp(end,0,genomeMax)];
 }
 
@@ -1500,13 +1504,11 @@ function respondToBookmarkSelect(){
  *  adds an alternating shade to each genome group for easier visual distinction amongst adjacent groups
  */
 function addBackgroundShade(top, left, width, height, orderIndex){
-  canvas.getObjects().filter(o => o.id == 'background').forEach(obj => canvas.remove(obj));
-
   let backgroundShade;
   orderIndex % 2 == 0 ? backgroundShade = '#b8b8b8' : backgroundShade = '#f5f5f5'
 
   let background = new fabric.Rect({
-    id: 'background',
+    groupID: genomeData.genomes[orderIndex][0],
     top: top,
     left: left,
     width: width,

From c289e4df6158ba55beb4820fc006c3b2b50fdc2d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 14 Aug 2021 14:53:54 -0500
Subject: [PATCH 0250/1020] fix v3

---
 anvio/data/interactive/js/genomeview.js | 19 +++++++------------
 1 file changed, 7 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 723dc4b50d..a3595dd63c 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -387,19 +387,14 @@ function loadAll() {
 
     let objs = canvas.getObjects().filter(obj => obj.groupID == gid);
 
-    var delta = opt.target.left - this.prev; //this.previousEvent ? opt.pointer.x - this.previousEvent.pointer.x : opt.e.movementX;
-    for(o of objs) {
-      if(o === opt.target) continue;
-      o.left += delta;
-      //o.dirty = true;
-    }
+    var delta = opt.target.left - this.prev;
+    canvas.getObjects().filter(obj => obj.groupID == gid).forEach(o => {
+      if(o !== opt.target) o.left += delta;
+    });
     xDisps[gid] += delta;
-    //canvas.renderAll();
-    this.setViewportTransform(this.viewportTransform);
-    //this.previousEvent = opt;
 
+    this.setViewportTransform(this.viewportTransform);
     setPercentScale();
-
     this.prev = opt.target.left;
   });
   canvas.on('mouse:wheel', function(opt) {
@@ -878,7 +873,7 @@ function addGenome(orderIndex) {
   }
 
   let [start, stop] = percentScale ? getRenderXRangeForFrac() : renderWindow.map(x => x*scaleFactor + xDisps[genomeID]);
-  start = clamp(start, calcXBounds()[0], calcXBounds()[1]);
+  start = clamp(start > xDisps[genomeID] ? start : xDisps[genomeID], calcXBounds()[0], calcXBounds()[1]);
   stop = clamp(stop, calcXBounds()[0], calcXBounds()[1]);
 
   // line
@@ -893,7 +888,7 @@ function addGenome(orderIndex) {
         hasBorders: false,
         lockScaling: true});
   canvas.add(lineObj);
-  addBackgroundShade(y, xDisps[genomeID], genomeMax, layerHeight, orderIndex)
+  addBackgroundShade(y, start, genomeMax, layerHeight, orderIndex)
 
   for(let geneID in gene_list) {
     let gene = gene_list[geneID];

From 4d10a9597c1c9ce21e95ef8ffc13124dad3515bf Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 17 Aug 2021 15:40:18 +0000
Subject: [PATCH 0251/1020] files exist now!

---
 .../data/interactive/js/genomeview/drawer.js  | 25 +++++++++++++++++++
 anvio/data/interactive/js/genomeview/main.js  | 25 +++++++++++++++++++
 anvio/data/interactive/js/genomeview/scale.js | 25 +++++++++++++++++++
 anvio/data/interactive/js/genomeview/ui.js    | 25 +++++++++++++++++++
 anvio/data/interactive/js/genomeview/utils.js | 25 +++++++++++++++++++
 5 files changed, 125 insertions(+)
 create mode 100644 anvio/data/interactive/js/genomeview/drawer.js
 create mode 100644 anvio/data/interactive/js/genomeview/main.js
 create mode 100644 anvio/data/interactive/js/genomeview/scale.js
 create mode 100644 anvio/data/interactive/js/genomeview/ui.js
 create mode 100644 anvio/data/interactive/js/genomeview/utils.js

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
new file mode 100644
index 0000000000..34ab481a18
--- /dev/null
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -0,0 +1,25 @@
+/**
+ * Javascript library for anvi'o genome view
+ *
+ *  Authors: Isaac Fink <iafink@uchicago.edu>
+ *           Matthew Klein <mtt.l.kln@gmail.com>
+ *           A. Murat Eren <a.murat.eren@gmail.com>
+ *
+ * Copyright 2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
+/**
+ * File Overview : 
+ * 
+ * 
+ */
\ No newline at end of file
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
new file mode 100644
index 0000000000..34ab481a18
--- /dev/null
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -0,0 +1,25 @@
+/**
+ * Javascript library for anvi'o genome view
+ *
+ *  Authors: Isaac Fink <iafink@uchicago.edu>
+ *           Matthew Klein <mtt.l.kln@gmail.com>
+ *           A. Murat Eren <a.murat.eren@gmail.com>
+ *
+ * Copyright 2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
+/**
+ * File Overview : 
+ * 
+ * 
+ */
\ No newline at end of file
diff --git a/anvio/data/interactive/js/genomeview/scale.js b/anvio/data/interactive/js/genomeview/scale.js
new file mode 100644
index 0000000000..34ab481a18
--- /dev/null
+++ b/anvio/data/interactive/js/genomeview/scale.js
@@ -0,0 +1,25 @@
+/**
+ * Javascript library for anvi'o genome view
+ *
+ *  Authors: Isaac Fink <iafink@uchicago.edu>
+ *           Matthew Klein <mtt.l.kln@gmail.com>
+ *           A. Murat Eren <a.murat.eren@gmail.com>
+ *
+ * Copyright 2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
+/**
+ * File Overview : 
+ * 
+ * 
+ */
\ No newline at end of file
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
new file mode 100644
index 0000000000..34ab481a18
--- /dev/null
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -0,0 +1,25 @@
+/**
+ * Javascript library for anvi'o genome view
+ *
+ *  Authors: Isaac Fink <iafink@uchicago.edu>
+ *           Matthew Klein <mtt.l.kln@gmail.com>
+ *           A. Murat Eren <a.murat.eren@gmail.com>
+ *
+ * Copyright 2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
+/**
+ * File Overview : 
+ * 
+ * 
+ */
\ No newline at end of file
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
new file mode 100644
index 0000000000..34ab481a18
--- /dev/null
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -0,0 +1,25 @@
+/**
+ * Javascript library for anvi'o genome view
+ *
+ *  Authors: Isaac Fink <iafink@uchicago.edu>
+ *           Matthew Klein <mtt.l.kln@gmail.com>
+ *           A. Murat Eren <a.murat.eren@gmail.com>
+ *
+ * Copyright 2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
+/**
+ * File Overview : 
+ * 
+ * 
+ */
\ No newline at end of file

From 0e4062cad6ccd90f3eb7e00afbff0b90156b1672 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 17 Aug 2021 15:45:09 +0000
Subject: [PATCH 0252/1020] hook new files into html page

---
 anvio/data/interactive/genomeview.html | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index b65793e640..ff4a2cf385 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -25,6 +25,11 @@
         <script type="text/javascript" src="lib/jquery-ui/ui/position.js"></script>
         <script type="text/javascript" src="./js/constants.js"></script>
         <script type="text/javascript" src="./js/genomeview.js"></script>
+        <script type="text/javascript" src="./js/genomeview/main.js"></script>
+        <script type="text/javascript" src="./js/genomeview/drawer.js"></script>
+        <script type="text/javascript" src="./js/genomeview/scale.js"></script>
+        <script type="text/javascript" src="./js/genomeview/ui.js"></script>
+        <script type="text/javascript" src="./js/genomeview/utils.js"></script>
 
         <script src="./lib/fabric/dist/fabric.js"></script>
     </head>

From 342f264973c61fd61f1e725d560bacdc7bdcf4d9 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 17 Aug 2021 15:51:17 +0000
Subject: [PATCH 0253/1020] begin migrating utils functions

---
 anvio/data/interactive/js/genomeview/utils.js | 54 ++++++++++++++++++-
 1 file changed, 53 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 34ab481a18..1731836bdd 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -22,4 +22,56 @@
  * File Overview : 
  * 
  * 
- */
\ No newline at end of file
+ */
+
+/** 
+ * ripped from utils.js instead of importing the whole file
+*/
+var fixHelperModified = function(e, tr) { 
+  var $originals = tr.children();
+  var $helper = tr.clone();
+  $helper.children().each(function(index) {
+      $(this).width($originals.eq(index).width());
+  });
+  return $helper;
+};
+
+/*
+ *  return height value for main canvas element
+ */
+function calculateMainCanvasHeight(){
+  let additionalSpacing = 100 // arbitrary additional spacing for cosmetics
+      let mainCanvasHeight =  spacing * genomeData.genomes.length + additionalSpacing
+  return mainCanvasHeight
+}
+
+/*
+ *  Save NT length of the largest genome in `genomeMax`.
+ */
+function calculateMaxGenomeLength(){
+  for(genome of genomeData.genomes) {
+    genome = genome[1].genes.gene_calls;
+    let genomeEnd = genome[Object.keys(genome).length-1].stop;
+    if(genomeEnd > genomeMax) genomeMax = genomeEnd;
+  }
+}
+
+function getCategoryForKEGGClass(class_str) {
+  if(class_str == null) return null;
+
+  var category_name = getClassFromKEGGAnnotation(class_str);
+  return getKeyByValue(KEGG_categories, category_name);
+}
+  
+function getClassFromKEGGAnnotation(class_str) {
+  return class_str.substring(17, class_str.indexOf(';', 17));
+}
+
+// https://stackoverflow.com/questions/9907419/how-to-get-a-key-in-a-javascript-object-by-its-value/36705765
+function getKeyByValue(object, value) {
+  return Object.keys(object).find(key => object[key] === value);
+}
+
+function clamp(num, min, max) {
+  return Math.min(Math.max(num, min), max);
+}
\ No newline at end of file

From 4ba6c48101f5fd37f9c1dd2cf1fcd9819f3c0426 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 17 Aug 2021 15:51:34 +0000
Subject: [PATCH 0254/1020] clarify

---
 anvio/data/interactive/js/genomeview/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 1731836bdd..4863426784 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -25,7 +25,7 @@
  */
 
 /** 
- * ripped from utils.js instead of importing the whole file
+ * ripped from primary utils.js instead of importing the whole file
 */
 var fixHelperModified = function(e, tr) { 
   var $originals = tr.children();

From ea87e7f32ff05a2d4a03c0a40344eb0aac886256 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 17 Aug 2021 15:57:57 +0000
Subject: [PATCH 0255/1020] file overview, additional migration

---
 anvio/data/interactive/js/genomeview/utils.js | 85 ++++++++++++++++++-
 1 file changed, 82 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 4863426784..e3dc222730 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -19,11 +19,12 @@
  */
 
 /**
- * File Overview : 
- * 
- * 
+ * File Overview : This file contains utility functions used throughout genomeview. As a general rule, 
+ * functions defined here explicitly return some value or mutate an existing global variable. Functions 
+ * defined here should not interact directly with elements of UI, state, or canvas objects. 
  */
 
+
 /** 
  * ripped from primary utils.js instead of importing the whole file
 */
@@ -56,6 +57,84 @@ function calculateMaxGenomeLength(){
   }
 }
 
+/*
+ *  @returns [start, stop] nt range for the current viewport and scaleFactor
+ */
+function getNTRangeForVPT() {
+  let vpt = canvas.viewportTransform;
+  let window_left = Math.floor((-1*vpt[4]-xDisplacement)/scaleFactor);
+  let window_right = Math.floor(window_left + canvas.getWidth()/scaleFactor);
+  // if window is out of bounds, shift to be in bounds
+  if(window_left < 0) {
+    window_right -= window_left;
+    window_left = 0;
+  }
+  if(window_right > genomeMax) {
+    window_left -= (window_right - genomeMax);
+    window_right = genomeMax;
+  }
+  return [window_left, window_right];
+}
+
+/*
+ *  @returns [start, stop] proportional (0-1) range, used with scale for non-aligned genomes
+ */
+function getFracForVPT() {
+  let resolution = 4; // number of decimals to show
+  let [x1, x2] = calcXBounds();
+  let window_left = Math.round(10**resolution * (-1*canvas.viewportTransform[4] - x1) / (x2 - x1)) / 10**resolution;
+  let window_right = Math.round(10**resolution * (window_left + (canvas.getWidth()) / (x2 - x1))) / 10**resolution;
+  // if window is out of bounds, shift to be in bounds
+  if(window_left < 0) {
+    window_right -= window_left;
+    window_left = 0;
+  }
+  if(window_right > 1) {
+    window_left -= (window_right - 1);
+    window_right = 1;
+  }
+  return [window_left, window_right];
+}
+
+/*
+ *  @returns range of renderWindow x-positions for a given proportional range
+ */
+function getRenderXRangeForFrac() {
+  if(!percentScale) return null;
+  let [l,r] = calcXBounds();
+  let [x1, x2] = renderWindow.map(x => l+x*(r-l));
+  return [x1, x2];
+}
+
+function getRenderNTRange(genomeID) {
+  if(!percentScale) return renderWindow;
+  let [l,r] = calcXBounds();
+  let [start, end] = getRenderXRangeForFrac().map(x => (x-xDisps[genomeID])/scaleFactor);
+  return [clamp(start,0,genomeMax), clamp(end,0,genomeMax)];
+}
+
+/*
+ *  Resets viewport if outside bounds of the view window, with padding on each end
+ */
+function bindViewportToWindow() {
+  let vpt = canvas.viewportTransform;
+  let [l,r] = calcXBounds();
+  if(vpt[4] > 250 - l) {
+    vpt[4] = 250 - l;
+  } else if(vpt[4] < canvas.getWidth() - r - 125) {
+    vpt[4] = canvas.getWidth() - r - 125;
+  }
+}
+
+function calcXBounds() {
+  let min = 9*(10**9), max = -9*(10**9);
+  for(let g in xDisps) {
+    if(xDisps[g] > max) max = xDisps[g];
+    if(xDisps[g] < min) min = xDisps[g];
+  }
+  return [min, max + scaleFactor*genomeMax];
+}
+
 function getCategoryForKEGGClass(class_str) {
   if(class_str == null) return null;
 

From c767d02a924292013a40c17f03afa9624a654738 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 18 Aug 2021 16:55:06 -0500
Subject: [PATCH 0256/1020] dynamically generate function color table in
 settings panel based on user-supplied functional annotations

---
 anvio/data/interactive/genomeview.html  |  19 +++-
 anvio/data/interactive/js/genomeview.js | 120 ++++++++++++++++++++++++
 2 files changed, 134 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index ff4a2cf385..3883224d43 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -6,10 +6,10 @@
         <meta charset="UTF-8" />
         <link rel="stylesheet" href="lib/bootstrap/dist/css/bootstrap.min.css" />
         <link rel="stylesheet" type="text/css" href="./css/genomeview.css" />
-        
         <!-- main css file imported for color picker functionality -->
-        <link rel="stylesheet" type="text/css" href="./css/main.css" /> 
-        
+        <link rel="stylesheet" type="text/css" href="./css/main.css" />
+        <link rel="stylesheet" href="lib/colpick/colpick.css" type="text/css" />
+
         <link rel="shortcut icon" href="#">
         <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
         <script type="text/javascript" src="lib/d3.js/d3.min.js"></script>
@@ -23,6 +23,7 @@
         <script type="text/javascript" src="lib/jquery-ui/ui/resizable.js"></script>
         <script type="text/javascript" src="lib/jquery-ui/ui/button.js"></script>
         <script type="text/javascript" src="lib/jquery-ui/ui/position.js"></script>
+        <script type="text/javascript" src="lib/colpick/colpick.js"></script>
         <script type="text/javascript" src="./js/constants.js"></script>
         <script type="text/javascript" src="./js/genomeview.js"></script>
         <script type="text/javascript" src="./js/genomeview/main.js"></script>
@@ -47,7 +48,7 @@
               <input type="text" class="form-control input-sm" id="brush_start" style= "width: 60px; float:left; margin-right:10px" value="0"></input>
               <input type="text" class="form-control input-sm" id="brush_end" style= "width: 60px; float:left" value="0"></input>
               <select id='bookmarks-select' style= "width: 120px; float:left; margin-left:10px">
-                <option selected="true" disabled="disabled">Bookmarks</option>  
+                <option selected="true" disabled="disabled">Bookmarks</option>
               </select>
               <p id='bookmark-description' style= "width: 300px; float:left; margin-left:10px; font-size: large;"></p>
             </div>
@@ -174,7 +175,7 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                             </tr>
                           </tbody>
                         </table>
-                        
+
                         <span class="settings-header">Scale</span>
                         <table id="scaleTable" style="margin-bottom: 20px;">
                           <tbody>
@@ -226,6 +227,14 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                           </div>
                         </div>
                         <div id="table_function_colors_container" style="margin-top: 20px; color:black">
+                          <table id="table_function_colors">
+                            <thead id="thead_function_colors">
+                              <td></td>
+                              <td data-help="function-color"><div style="width: 32px;"><b>Color</b></div></td>
+                              <td data-help="function-category"><b>Category</b></td>
+                            </thead>
+                            <tbody id="tbody_function_colors"></tbody>
+                          </table>
                         </div>
                         <button type="button" class="btn btn-primary btn-xs" onclick="resetFunctionColors()" class="btn btn-outline-primary">Reset Function colors</button>
 
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index a3595dd63c..43eb363df8 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1523,3 +1523,123 @@ var fixHelperModified = function(e, tr) { // ripped from utils.js instead of imp
   });
   return $helper;
 };
+
+/*
+ *  [TO BE ADDED TO 'regular' utils.js since it can be used in the inspect page]
+ *  @returns array of functional annotation types from table in `genomeData`
+ */
+function getFunctionalAnnotations() {
+  return Object.keys(genomeData.genomes[0][1].genes.functions[0]);
+}
+
+/*
+ *  [TO BE ADDED TO 'regular' utils.js]
+ *  @returns relevant category:color dict from constants.js for a given functional annotation
+ */
+function getColorDefaults(fn_type) {
+  switch(fn_type) {
+    case 'COG_CATEGORY':
+      return default_COG_colors;
+    case 'KEGG_CATEGORY':
+      return default_KEGG_colors;
+    case 'Source':
+      return default_source_colors;
+    default:
+      console.log("Warning: Invalid type for function color table");
+      return null;
+  }
+}
+
+/*
+ *  [TO BE ADDED TO genomeview/UI.js ... OR potentially 'regular' utils.js]
+ *  @returns target gene's category code for a given functional annotation type.
+ */
+function getCagForType(geneFunctions, fn_type) {
+  switch(fn_type) {
+    case 'COG_CATEGORY':
+      return geneFunctions && geneFunctions[fn_type] ? geneFunctions[fn_type][1][0] : null;
+    case 'KEGG_CATEGORY':
+      // TODO
+      return null;
+    default:
+      // TODO
+      return null;
+  }
+}
+
+/*
+ *  [TO BE ADDED TO 'regular' utils.js]
+ *  @returns category name corresponding to a given single-character code, for the approporiate functional annotation type
+ */
+function getCagName(category, fn_type) {
+  switch(fn_type) {
+    case 'COG_CATEGORY':
+      return COG_categories[category];
+    case 'KEGG_CATEGORY':
+      return KEGG_categories[category];
+    default:
+      return category;
+  }
+}
+
+/*
+ *  [TO BE ADDED TO genomeview/UI.js ... OR potentially 'regular' utils.js]
+ *  Generates functional annotation color table for a given color palette.
+ *
+ *  @param fn_colors :       dict matching each category to a hex color code to override defaults
+ *  @param fn_type :         string indicating function category type: currently one of "COG_CATEGORY", "KEGG_CATEGORY", "Source"
+ *  @param highlight_genes : dict matching specific gene caller IDs to hex colors to override other coloring (TODO: how does this work for genome view?)
+ *  @param filter_to_split : if true, filters categories to only those shown in the split
+ */
+function generateColorTable(fn_colors, fn_type, highlight_genes={}, filter_to_split) {
+  // TODO: consider call_type? see inspectionalutils.js for how this was dealt with earlier
+
+  let db = getColorDefaults(fn_type ? fn_type : 'Source');
+  if(db == null) return;
+  // Override default values with any values supplied to fn_colors
+  if(fn_colors) db = Object.keys(db).map(cag => Object.keys(fn_colors).includes(cag) ? fn_colors[cag] : db[cag]);
+
+  if(filter_to_split) {
+    let save = [];
+    for(genome of genomeData.genomes) {
+      for(geneFunctions of Object.entries(genome[1].genes.functions)) {
+        let cag = getCagForType(geneFunctions[1], fn_type);
+        if(cag && !save.includes(cag)) save.push(cag);
+      }
+    }
+    Object.keys(db).forEach((cag, color) => {
+      if(!save.includes(cag)) delete db[cag];
+    });
+  }
+
+  $('#tbody_function_colors').empty();
+  Object.keys(db).forEach(function(category){
+    var tbody_content =
+     '<tr id="picker_row_' + category + '"> \
+        <td></td> \
+        <td> \
+          <div id="picker_' + category + '" class="colorpicker" color="' + db[category] + '" background-color="' + db[category] + '" style="background-color: ' + db[category] + '; margin-right:16px; margin-left:16px"></div> \
+        </td> \
+        <td>' + getCagName(category, fn_type) + '</td> \
+      </tr>';
+
+    $('#tbody_function_colors').append(tbody_content);
+  });
+
+  $('.colorpicker').colpick({
+      layout: 'hex',
+      submit: 0,
+      colorScheme: 'light',
+      onChange: function(hsb, hex, rgb, el, bySetColor) {
+          $(el).css('background-color', '#' + hex);
+          $(el).attr('color', '#' + hex);
+          // TODO: save new color once state is implemented
+          //state[$('#gene_color_order').val().toLowerCase() + '-colors'][el.id.substring(7)] = '#' + hex;
+          if (!bySetColor) $(el).val(hex);
+      }
+  }).keyup(function() {
+      $(this).colpickSetColor(this.value);
+  });
+
+  // highlight_genes
+}

From 9cf692f98c07359f71dd484c6743c404d5eda254 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 18 Aug 2021 17:58:43 -0500
Subject: [PATCH 0257/1020] add option to highlight specific genes in color
 table

---
 anvio/data/interactive/js/genomeview.js | 68 +++++++++++++++++++------
 1 file changed, 53 insertions(+), 15 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 43eb363df8..c23a555a80 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1588,10 +1588,10 @@ function getCagName(category, fn_type) {
  *
  *  @param fn_colors :       dict matching each category to a hex color code to override defaults
  *  @param fn_type :         string indicating function category type: currently one of "COG_CATEGORY", "KEGG_CATEGORY", "Source"
- *  @param highlight_genes : dict matching specific gene caller IDs to hex colors to override other coloring (TODO: how does this work for genome view?)
+ *  @param highlight_genes : array of format [{genomeID: 'g01', geneID: 3, color: '#FF0000'}, ...] to override other coloring for specific genes
  *  @param filter_to_split : if true, filters categories to only those shown in the split
  */
-function generateColorTable(fn_colors, fn_type, highlight_genes={}, filter_to_split) {
+function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split) {
   // TODO: consider call_type? see inspectionalutils.js for how this was dealt with earlier
 
   let db = getColorDefaults(fn_type ? fn_type : 'Source');
@@ -1613,18 +1613,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes={}, filter_to_sp
   }
 
   $('#tbody_function_colors').empty();
-  Object.keys(db).forEach(function(category){
-    var tbody_content =
-     '<tr id="picker_row_' + category + '"> \
-        <td></td> \
-        <td> \
-          <div id="picker_' + category + '" class="colorpicker" color="' + db[category] + '" background-color="' + db[category] + '" style="background-color: ' + db[category] + '; margin-right:16px; margin-left:16px"></div> \
-        </td> \
-        <td>' + getCagName(category, fn_type) + '</td> \
-      </tr>';
-
-    $('#tbody_function_colors').append(tbody_content);
-  });
+  Object.keys(db).forEach(category => appendColorRow(getCagName(category, fn_type), category, db[category]) );
 
   $('.colorpicker').colpick({
       layout: 'hex',
@@ -1641,5 +1630,54 @@ function generateColorTable(fn_colors, fn_type, highlight_genes={}, filter_to_sp
       $(this).colpickSetColor(this.value);
   });
 
-  // highlight_genes
+  if(highlight_genes) {
+    let genomes = Object.entries(genomeData.genomes).map(g => g[1][0]);
+    for(entry of highlight_genes) {
+      let genomeID = entry['genomeID'];
+      let geneID = entry['geneID'];
+      let color = entry['color'];
+      
+      if(!genomes.includes(genomeID)) continue;
+
+      let ind = genomeData.genomes.findIndex(g => g[0] == genomeID);
+      let genes = Object.keys(genomeData.genomes[ind][1].genes.gene_calls);
+      if(!(geneID in genes)) continue;
+
+      let label = genomeID + ', ' + geneID;
+      appendColorRow(label, label, color, prepend=true);
+    }
+    $('colorpicker').colpick({
+        layout: 'hex',
+        submit: 0,
+        colorScheme: 'light',
+        onChange: function(hsb, hex, rgb, el, bySetColor) {
+            $(el).css('background-color', '#' + hex);
+            $(el).attr('color', '#' + hex);
+            //state['highlight-genes'][el.id.substring(7)] = '#' + hex;
+            if (!bySetColor) $(el).val(hex);
+        }
+    }).keyup(function() {
+        $(this).colpickSetColor(this.value);
+    });
+  }
+}
+
+/*
+ *  [TO BE ADDED TO 'regular' utils.js]
+ */
+function appendColorRow(label, cag, color, prepend=false) {
+  var tbody_content =
+   '<tr id="picker_row_' + cag + '"> \
+      <td></td> \
+      <td> \
+        <div id="picker_' + cag + '" class="colorpicker" color="' + color + '" background-color="' + color + '" style="background-color: ' + color + '; margin-right:16px; margin-left:16px"></div> \
+      </td> \
+      <td>' + label + '</td> \
+    </tr>';
+
+  if(prepend) {
+    $('#tbody_function_colors').prepend(tbody_content);
+  } else {
+    $('#tbody_function_colors').append(tbody_content);
+  }
 }

From bd4239bac186027b2c6119e2ba225084ae55a0d7 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 18 Aug 2021 18:16:48 -0500
Subject: [PATCH 0258/1020] dynamically build gene functions dropdown

---
 anvio/data/interactive/js/genomeview.js | 25 +++++++++----------------
 1 file changed, 9 insertions(+), 16 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index c23a555a80..8d6210c0ea 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -53,9 +53,6 @@
  var arrowStyle = 1; // gene arrow cosmetics. 1 (default) = 'inspect-page', 2 = thicker arrows, 3 = pentagon, 4 = rect
 
  var color_db;
- var cog_annotated = true, kegg_annotated = false;
- // doesn't make sense to iterate through every gene with dozens of genomes...
- // will need to find an efficient way to find these automatically
 
 var genomeData;
 var xDisps = {};
@@ -314,18 +311,14 @@ function loadAll() {
     value: 'Source',
     text: 'Source'
   }));
-  if(cog_annotated) {
+  for(fn of getFunctionalAnnotations()) {
+    if(!['COG_CATEGORY', 'KEGG_CATEGORY', 'Source'].includes(fn)) continue; // TODO: support any option
     $('#gene_color_order').append($('<option>', {
-      value: 'COG',
-      text: 'COG'
-    }));
-  }
-  if(kegg_annotated) {
-    $('#gene_color_order').append($('<option>', {
-      value: 'KEGG',
-      text: 'KEGG'
+      value: fn,
+      text: fn
     }));
   }
+  //generateColorTable(fn_colors=null, fn_type=$('#gene_color_order').val());
 
   brush.extent([parseInt($('#brush_start').val()),parseInt($('#brush_end').val())]);
   brush(d3.select(".brush"));
@@ -1049,11 +1042,11 @@ function geneArrow(gene, geneID, functions, y, genomeID, style) {
   var color = 'gray';
   if(functions) {
     switch(color_db) {
-      case 'COG':
+      case 'COG_CATEGORY':
         if(functions["COG_CATEGORY"]) cag = functions["COG_CATEGORY"][1];
         color = cag in default_COG_colors ? default_COG_colors[cag] : 'gray';
         break;
-      case 'KEGG':
+      case 'KEGG_CATEGORY':
         if(functions.hasOwnProperty("KEGG_Class") && functions.KEGG_Class != null) {
           cag = getCategoryForKEGGClass(functions["KEGG_Class"][1]);
         }
@@ -1591,7 +1584,7 @@ function getCagName(category, fn_type) {
  *  @param highlight_genes : array of format [{genomeID: 'g01', geneID: 3, color: '#FF0000'}, ...] to override other coloring for specific genes
  *  @param filter_to_split : if true, filters categories to only those shown in the split
  */
-function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split) {
+function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=true) {
   // TODO: consider call_type? see inspectionalutils.js for how this was dealt with earlier
 
   let db = getColorDefaults(fn_type ? fn_type : 'Source');
@@ -1636,7 +1629,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
       let genomeID = entry['genomeID'];
       let geneID = entry['geneID'];
       let color = entry['color'];
-      
+
       if(!genomes.includes(genomeID)) continue;
 
       let ind = genomeData.genomes.findIndex(g => g[0] == genomeID);

From 2bd4413b38394c3050748c95ffccfd13b8a9ba79 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 18 Aug 2021 18:47:31 -0500
Subject: [PATCH 0259/1020] render new color table upon changing functions
 dropdown menu

---
 anvio/data/interactive/js/genomeview.js | 53 +++++++++++--------------
 1 file changed, 23 insertions(+), 30 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 8d6210c0ea..20dfe76113 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -312,13 +312,14 @@ function loadAll() {
     text: 'Source'
   }));
   for(fn of getFunctionalAnnotations()) {
-    if(!['COG_CATEGORY', 'KEGG_CATEGORY', 'Source'].includes(fn)) continue; // TODO: support any option
+    if(!['COG_CATEGORY', 'KEGG_CATEGORY'].includes(fn)) continue; // TODO: support any option
     $('#gene_color_order').append($('<option>', {
       value: fn,
       text: fn
     }));
   }
-  //generateColorTable(fn_colors=null, fn_type=$('#gene_color_order').val());
+  color_db = $('#gene_color_order').val();
+  generateColorTable(fn_colors=null, fn_type=color_db);
 
   brush.extent([parseInt($('#brush_start').val()),parseInt($('#brush_end').val())]);
   brush(d3.select(".brush"));
@@ -454,6 +455,7 @@ function loadAll() {
   $('#gene_color_order').on('change', function() {
       color_db = $(this).val();
       draw();
+      generateColorTable(null, color_db); // TODO: include highlight_genes, fn_colors etc from state
       $(this).blur();
   });
   $('#arrow_style').on('change', function() {
@@ -888,8 +890,7 @@ function addGenome(orderIndex) {
     let [ntStart, ntStop] = getRenderNTRange(genomeID);
     if(gene.start < ntStart) continue;
     if(gene.stop > ntStop) return;
-    let genome = genomeData.genomes.find(g => g[0] == genomeID)[1];
-    var geneObj = geneArrow(gene,geneID,genome.genes.functions[geneID],y,genomeID,arrowStyle);
+    var geneObj = geneArrow(gene,geneID,y,genomeID,arrowStyle);
     canvas.add(geneObj);
 
     if(showGeneLabels) {
@@ -1037,33 +1038,25 @@ function buildGroupRulerLayer(genomeID, layerPos, orderIndex){
   addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
 }
 
-function geneArrow(gene, geneID, functions, y, genomeID, style) {
-  var cag = null;
-  var color = 'gray';
-  if(functions) {
-    switch(color_db) {
-      case 'COG_CATEGORY':
-        if(functions["COG_CATEGORY"]) cag = functions["COG_CATEGORY"][1];
-        color = cag in default_COG_colors ? default_COG_colors[cag] : 'gray';
-        break;
-      case 'KEGG_CATEGORY':
-        if(functions.hasOwnProperty("KEGG_Class") && functions.KEGG_Class != null) {
-          cag = getCategoryForKEGGClass(functions["KEGG_Class"][1]);
-        }
-        color = cag in default_KEGG_colors ? default_KEGG_colors[cag] : 'gray';
-        break;
-      default:
-        if (gene.source.startsWith('Ribosomal_RNA')) {
-          cag = 'rRNA';
-        } else if (gene.source == 'Transfer_RNAs') {
-          cag = 'tRNA';
-        } else if (gene.functions !== null) {
-          cag = 'Function';
-        }
-        color = cag in default_source_colors ? default_source_colors[cag] : 'gray';
+function geneArrow(gene, geneID, y, genomeID, style) {
+  let ind = genomeData.genomes.findIndex(g => g[0] == genomeID);
+  let functions = genomeData.genomes[ind][1].genes.functions[geneID];
+
+  let color = 'gray';
+  let db = getColorDefaults(color_db);
+  let cag = functions && functions[color_db] ? functions[color_db][1][0] : null;
+  if(db && db[cag]) {
+    color = db[cag];
+  } else {
+    if (gene.source.startsWith('Ribosomal_RNA')) {
+      cag = 'rRNA';
+    } else if (gene.source == 'Transfer_RNAs') {
+      cag = 'tRNA';
+    } else if (gene.functions !== null) {
+      cag = 'Function';
     }
+    if(cag in default_source_colors) color = default_source_colors[cag];
   }
-  /* Issue here: each genome might be differentially annotated... how to make sure all have COG annotations for example? */
 
   let length = (gene.stop-gene.start)*scaleFactor;
   let stemLength = length-25 > 0 ? length-25 : 0;
@@ -1592,7 +1585,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
   // Override default values with any values supplied to fn_colors
   if(fn_colors) db = Object.keys(db).map(cag => Object.keys(fn_colors).includes(cag) ? fn_colors[cag] : db[cag]);
 
-  if(filter_to_split) {
+  if(filter_to_split && fn_type != 'Source') {
     let save = [];
     for(genome of genomeData.genomes) {
       for(geneFunctions of Object.entries(genome[1].genes.functions)) {

From 5f48618f89a8cd62713583a0539b652089c9ea8f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 18 Aug 2021 19:04:45 -0500
Subject: [PATCH 0260/1020] use colors from function table instead of defaults

---
 anvio/data/interactive/js/genomeview.js | 15 ++++++++++-----
 1 file changed, 10 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 20dfe76113..47287554cc 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -454,8 +454,8 @@ function loadAll() {
   });
   $('#gene_color_order').on('change', function() {
       color_db = $(this).val();
-      draw();
       generateColorTable(null, color_db); // TODO: include highlight_genes, fn_colors etc from state
+      draw();
       $(this).blur();
   });
   $('#arrow_style').on('change', function() {
@@ -1043,10 +1043,15 @@ function geneArrow(gene, geneID, y, genomeID, style) {
   let functions = genomeData.genomes[ind][1].genes.functions[geneID];
 
   let color = 'gray';
-  let db = getColorDefaults(color_db);
   let cag = functions && functions[color_db] ? functions[color_db][1][0] : null;
-  if(db && db[cag]) {
-    color = db[cag];
+  if(cag) {
+     // TODO: use state instead of hardcoded color pickers
+     let label = genomeID + ', ' + geneID;
+     if($('#picker_' + label).length > 0) {
+       color = $('#picker_' + label).attr('color');
+     } else if($('#picker_' + cag).length > 0) {
+       color = $('#picker_' + cag).attr('color');
+     }
   } else {
     if (gene.source.startsWith('Ribosomal_RNA')) {
       cag = 'rRNA';
@@ -1055,7 +1060,7 @@ function geneArrow(gene, geneID, y, genomeID, style) {
     } else if (gene.functions !== null) {
       cag = 'Function';
     }
-    if(cag in default_source_colors) color = default_source_colors[cag];
+    if($('#picker_' + cag).length > 0) color = $('#picker_' + cag).attr('color');
   }
 
   let length = (gene.stop-gene.start)*scaleFactor;

From c2d8ac4bb7aac02826af0dca4da0a8bf7e3a6960 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 18 Aug 2021 19:23:07 -0500
Subject: [PATCH 0261/1020] check for highlighted genes

---
 anvio/data/interactive/js/genomeview.js | 37 +++++++++++++------------
 1 file changed, 20 insertions(+), 17 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 47287554cc..571c550581 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1044,23 +1044,26 @@ function geneArrow(gene, geneID, y, genomeID, style) {
 
   let color = 'gray';
   let cag = functions && functions[color_db] ? functions[color_db][1][0] : null;
-  if(cag) {
-     // TODO: use state instead of hardcoded color pickers
-     let label = genomeID + ', ' + geneID;
-     if($('#picker_' + label).length > 0) {
-       color = $('#picker_' + label).attr('color');
-     } else if($('#picker_' + cag).length > 0) {
-       color = $('#picker_' + cag).attr('color');
-     }
+
+  // TODO: use state instead of hardcoded color pickers
+
+  // check if gene is highlighted
+  let pickerCode = genomeID + '-' + geneID;
+  if($('#picker_' + pickerCode).length > 0) {
+    color = $('#picker_' + pickerCode).attr('color');
   } else {
-    if (gene.source.startsWith('Ribosomal_RNA')) {
-      cag = 'rRNA';
-    } else if (gene.source == 'Transfer_RNAs') {
-      cag = 'tRNA';
-    } else if (gene.functions !== null) {
-      cag = 'Function';
+    if(cag) {
+       if($('#picker_' + cag).length > 0) color = $('#picker_' + cag).attr('color');
+    } else {
+      if (gene.source.startsWith('Ribosomal_RNA')) {
+        cag = 'rRNA';
+      } else if (gene.source == 'Transfer_RNAs') {
+        cag = 'tRNA';
+      } else if (gene.functions !== null) {
+        cag = 'Function';
+      }
+      if($('#picker_' + cag).length > 0) color = $('#picker_' + cag).attr('color');
     }
-    if($('#picker_' + cag).length > 0) color = $('#picker_' + cag).attr('color');
   }
 
   let length = (gene.stop-gene.start)*scaleFactor;
@@ -1634,8 +1637,8 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
       let genes = Object.keys(genomeData.genomes[ind][1].genes.gene_calls);
       if(!(geneID in genes)) continue;
 
-      let label = genomeID + ', ' + geneID;
-      appendColorRow(label, label, color, prepend=true);
+      let label = genomeID + ',' + geneID;
+      appendColorRow(label, genomeID + '-' + geneID, color, prepend=true);
     }
     $('colorpicker').colpick({
         layout: 'hex',

From 5099912f91cc586d0e36e06d3044bbc97a34d436 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 18 Aug 2021 19:32:07 -0500
Subject: [PATCH 0262/1020] implement button to reset function colors to
 defaults

---
 anvio/data/interactive/js/genomeview.js | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 571c550581..4b6c0c6154 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1675,3 +1675,15 @@ function appendColorRow(label, cag, color, prepend=false) {
     $('#tbody_function_colors').append(tbody_content);
   }
 }
+
+/*
+ * [TO BE ADDED to genomeview/UI.js OR 'regular' utils.js]
+ * Resets function color table to the default set
+ *
+ * @param fn_colors: If set, resets state to this dictionary instead of the defaults.
+ */
+function resetFunctionColors(fn_colors=null) {
+  // TODO: this should reset color dictionaries in state and then redraw table, once state is implemented
+  if($('#gene_color_order') == null) return;
+  generateColorTable(fn_colors, color_db);
+}

From d20f2abd929abfead39a3d9399b852a7a668a497 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 18 Aug 2021 19:42:31 -0500
Subject: [PATCH 0263/1020] clearer gene color labels

---
 anvio/data/interactive/js/genomeview.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 4b6c0c6154..a983056bf9 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1637,7 +1637,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
       let genes = Object.keys(genomeData.genomes[ind][1].genes.gene_calls);
       if(!(geneID in genes)) continue;
 
-      let label = genomeID + ',' + geneID;
+      let label = 'Genome: ' + genomeID + ', Gene: ' + geneID;
       appendColorRow(label, genomeID + '-' + geneID, color, prepend=true);
     }
     $('colorpicker').colpick({

From 5e0330c3a390a3a7778af78df805930f215baac0 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 19 Aug 2021 14:27:28 +0000
Subject: [PATCH 0264/1020] adjust scale opacity so we don't fully obscure
 visualization behind it

---
 anvio/data/interactive/css/genomeview.css | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index fc7b59f52c..cf66895da6 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -184,5 +184,6 @@ a{
     padding: 15px;
     margin: 5px;
     position: fixed;
-    bottom : 25px
+    bottom : 25px; 
+    background-color: rgba(255,255,255, 0.8);
 }

From fe06ad2a8ef303c3648de70f69af21148a945575 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 19 Aug 2021 15:01:22 +0000
Subject: [PATCH 0265/1020] wire out ui file, file overview

---
 anvio/data/interactive/js/genomeview/ui.js | 110 ++++++++++++++++++++-
 1 file changed, 106 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 34ab481a18..21193f99cc 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -19,7 +19,109 @@
  */
 
 /**
- * File Overview : 
- * 
- * 
- */
\ No newline at end of file
+ * File Overview : This file contains functions related to building + updating UI elements and responding to user interaction with those elements. 
+ * As a general rule, processes that invoke jQuery should probably live here. 
+ */
+
+function showToolTip(event){
+  $('#tooltip-body').show().append(`
+    <p></p>
+    <style type="text/css">
+      .tftable {font-size:12px;color:#333333;width:100%;border-width: 1px;border-color: #729ea5;border-collapse: collapse;}
+      .tftable th {font-size:12px;background-color:#acc8cc;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;text-align:left;}
+      .tftable tr {background-color:#d4e3e5;}
+      .tftable td {font-size:12px;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;}
+      .tftable tr:hover {background-color:#ffffff;}
+    </style>
+
+    <table class="tftable" border="1">
+      <tr><th>Data</th><th>Value</th></tr>
+      <tr><td>Split</td><td>${event.target.gene.contig}</td></tr>
+      <tr><td>Start in Contig</td><td>${event.target.gene.start}</td></tr>
+      <tr><td>Length</td><td>${event.target.gene.stop - event.target.gene.start}</td></tr>
+      <tr><td>Gene Callers ID</td><td>${event.target.geneID}</td></tr>
+      <tr><td>Gene Cluster</td><td>${genomeData.gene_associations["anvio-pangenome"] ? genomeData.gene_associations["anvio-pangenome"]["genome-and-gene-names-to-gene-clusters"][event.target.genomeID][event.target.geneID] : "None"}</td></tr>
+    </table>
+    <button>some action</button>
+    <button>some other action</button>
+  `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
+}
+
+function toggleSettingsPanel() {
+  $('#settings-panel').toggle();
+
+  if ($('#settings-panel').is(':visible')) {
+    $('#toggle-panel-settings').addClass('toggle-panel-settings-pos');
+    $('#toggle-panel-settings-inner').html('&#9658;');
+  } else {
+    $('#toggle-panel-settings').removeClass('toggle-panel-settings-pos');
+    $('#toggle-panel-settings-inner').html('&#9664;');
+  }
+}
+
+function buildGenomesTable(genomes, order){
+  genomes.map(genome => {
+    var height = '50';
+    var margin = '15';
+    var template = '<tr id={genomeLabel}>' +
+                  '<td><img src="images/drag.gif" class="drag-icon" id={genomeLabel} /></td>' +
+                  '<td> {genomeLabel} </td>' +
+                  '<td>n/a</td>' +
+                  '<td>n/a</td>' +
+                  '<td>n/a</td>' +
+                  '<td><input class="input-height" type="text" size="3" id="height{id}" value="{height}"></input></td>' +
+                  '<td class="column-margin"><input class="input-margin" type="text" size="3" id="margin{id}" value="{margin}"></input></td>' +
+                  '<td>n/a</td>' +
+                  '<td>n/a</td>' +
+                  '<td><input type="checkbox" class="layer_selectors"></input></td>' +
+                  '</tr>';
+    let genomeLabel= Object.keys(genome[1]['contigs']['info']);
+
+    template = template.replace(new RegExp('{height}', 'g'), height)
+                        .replace(new RegExp('{margin}', 'g'), margin)
+                        .replace(new RegExp('{genomeLabel}', 'g'), genomeLabel);
+
+    $('#tbody_genomes').append(template);
+  })
+  
+  $("#tbody_genomes").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).disableSelection();
+
+  $("#tbody_genomes").on("sortupdate", (event, ui) => {
+    changeGenomeOrder($("#tbody_genomes").sortable('toArray'))
+  })
+}
+  
+function buildGroupLayersTable(layerLabel){
+  var height = '50';
+  var margin = '25';
+  var template = '<tr id={layerLabel}>' +
+                  '<td><img src="images/drag.gif" class="drag-icon" id={layerLabel} /></td>' +
+                  '<td> {layerLabel} </td>' +
+                  '<td><div id="{layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: #FFFFFF" color="#FFFFFF"></div></td>' +
+                  '<td>n/a</td>' +
+                  '<td>n/a</td>' +
+                  '<td><input type="checkbox" class="additional_selectors" id={layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>' +
+                  '</tr>';
+  template = template.replace(new RegExp('{height}', 'g'), height)
+                      .replace(new RegExp('{margin}', 'g'), margin)
+                      .replace(new RegExp('{layerLabel}', 'g'), layerLabel);
+  $('#tbody_additionalDataLayers').append(template);
+  $("#tbody_additionalDataLayers").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).disableSelection();
+
+  $("#tbody_additionalDataLayers").on("sortupdate", (event, ui) => {
+    changeGroupLayersOrder($("#tbody_additionalDataLayers").sortable('toArray'))
+  })
+}
+  
+function toggleAdditionalDataLayer(e){
+  let layer = e.target.id.split('-')[0]
+
+  if(e.target.checked){
+    stateData['display']['additionalDataLayers'][layer] = true
+    maxGroupSize += 1
+  } else {
+    stateData['display']['additionalDataLayers'][layer] = false
+    maxGroupSize -= 1 // decrease group height if hiding the layer
+  }
+  draw()
+}
\ No newline at end of file

From 1adb96b15d29f1d42e4995643e02a3e6cd01883b Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 19 Aug 2021 15:02:13 +0000
Subject: [PATCH 0266/1020] bookmark processes live in UI

---
 anvio/data/interactive/js/genomeview/ui.js | 39 ++++++++++++++++++++++
 1 file changed, 39 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 21193f99cc..b84513ada5 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -124,4 +124,43 @@ function toggleAdditionalDataLayer(e){
     maxGroupSize -= 1 // decrease group height if hiding the layer
   }
   draw()
+}
+
+/*
+ *  capture user bookmark values and store obj in state
+ */
+function createBookmark(){
+  if(!$('#create_bookmark_input').val()){
+    alert('please provide a name for your bookmark :)')
+    return
+  }
+  try {
+    stateData['display']['bookmarks'].push(
+      {
+        name : $('#create_bookmark_input').val(),
+        start : $('#brush_start').val(),
+        stop : $('#brush_end').val(),
+        description : $('#create_bookmark_description').val(),
+      }
+    )
+    alert('bookmark successfully created :)')
+  } catch (error) {
+    alert(`anvi'o was unable to save your bookmark because of an error ${error} :/`)
+    // throw to error landing page?
+  }
+}
+/*
+ *  update sequence position, bookmark description upon user select from dropdown
+ */
+function respondToBookmarkSelect(){
+  $('#bookmarks-select').change(function(e){
+    let [start, stop] = [$(this).val().split(',')[0], $(this).val().split(',')[1] ]
+    $('#brush_start').val(start);
+    $('#brush_end').val(stop);
+    brush.extent([start, stop]);
+        brush(d3.select(".brush").transition());
+        brush.event(d3.select(".brush").transition());
+    let selectedBookmark = stateData['display']['bookmarks'].find(bookmark => bookmark.start == start && bookmark.stop == stop)
+    $('#bookmark-description').text(selectedBookmark['description'])
+  })
 }
\ No newline at end of file

From 1c65fffe4f16a0130de009819fe539af873c6c20 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 19 Aug 2021 15:19:36 +0000
Subject: [PATCH 0267/1020] setup gDrawer class, start migrating class methods

---
 .../data/interactive/js/genomeview/drawer.js  | 74 ++++++++++++++++++-
 1 file changed, 70 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 34ab481a18..f2507984bf 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -19,7 +19,73 @@
  */
 
 /**
- * File Overview : 
- * 
- * 
- */
\ No newline at end of file
+ * File Overview : The Drawer class defined here is responsible for rendering genomic + associated data passed from main.js to an interactive 
+ * browser canvas. This is where most of the heavy lifting should happen, and where most of our Fabric.js library interactions should occur. 
+ */
+var gDrawer = function(settings) {
+  this.settings = settings;
+};
+
+/*
+ *  Draw background shades between genes of the same cluster.
+ *  TODO: generalize this function to take in [start,stop,val] NT sequence ranges to shade any arbitrary metric
+ *        - add a separate function for retrieving [start,stop,val] given gene cluster IDs
+ *
+ *  @param geneClusters : array of GC IDs to be shaded
+ *  @param colors       : dict defining color of each shade, in the form {geneClusterID : hexColor}
+ */
+gDrawer.prototype.shadeGeneClusters = function(geneClusters, colors){
+  if(!genomeData.gene_associations["anvio-pangenome"]) return;
+
+  let y = marginTop;
+  for(var i = 0; i < genomeData.genomes.length-1; i++) {
+    let genomeA = genomeData.genomes[i][1].genes.gene_calls;
+    let genomeB = genomeData.genomes[i+1][1].genes.gene_calls;
+    let genomeID_A = genomeData.genomes[i][0];
+    let genomeID_B = genomeData.genomes[i+1][0];
+    let [l1,r1] = getRenderNTRange(genomeID_A);
+    let [l2,r2] = getRenderNTRange(genomeID_B);
+
+    for(gc of geneClusters) {
+      let g1 = [], g2 = [];
+      for(geneID of genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID_A]) {
+        g1.push(genomeA[geneID].start, genomeA[geneID].stop);
+      }
+      for(geneID of genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID_B]) {
+        g2.push(genomeB[geneID].start, genomeB[geneID].stop);
+      }
+
+      // if shades outside render bounds, don't draw them
+      if(g1[1] < l1 && g2[1] < l2) continue;
+      if(g1[0] > r1 && g2[0] > r2) break;
+
+      g1 = g1.map(val => val*scaleFactor + xDisps[genomeID_A]);
+      g2 = g2.map(val => val*scaleFactor + xDisps[genomeID_B]);
+
+      /* TODO: implementation for multiple genes of the same genome in the same gene cluster */
+      var path = new fabric.Path("M " + g1[0] + " " + y + " L " + g1[1] + " " + y + " L " + g2[1] + " " + (y+spacing) + " L " + g2[0] + " " + (y+spacing) + " z", {
+        id: 'link',
+        fill: colors[gc],
+        opacity: 0.25,
+        selectable: false
+      });
+      path.sendBackwards();
+      canvas.sendToBack(path);
+    }
+    y += spacing
+  }
+}
+
+/*
+ *  Clear all gene links from the canvas.
+ */
+gDrawer.prototype.clearShades = function(){
+  canvas.getObjects().filter(obj => obj.id == 'link').forEach((l) => { canvas.remove(l) });
+}
+
+/*
+ *  Temporary function for testing shades.
+ */
+gDrawer.prototype.drawTestShades = function(){
+  shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"});
+}
\ No newline at end of file

From 96228d671b330327db7496d18c99d447c0e6e459 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 19 Aug 2021 21:32:48 +0000
Subject: [PATCH 0268/1020] more migration

---
 .../data/interactive/js/genomeview/drawer.js  | 15 +++++++++++
 anvio/data/interactive/js/genomeview/utils.js | 25 +++++++++++++++++++
 2 files changed, 40 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index f2507984bf..4c0e1ee7c0 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -26,6 +26,21 @@ var gDrawer = function(settings) {
   this.settings = settings;
 };
 
+gDrawer.prototype.draw = function(){
+  canvas.clear()
+  labelSpacing = 30 // reset to default value upon each draw() call
+  canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
+
+  genomeData['genomes'].map((genome, idx) => {
+    addGenome(idx)
+    addLayers(idx)
+    labelSpacing += 30
+  })
+
+  checkGeneLabels();
+  drawTestShades();
+}
+
 /*
  *  Draw background shades between genes of the same cluster.
  *  TODO: generalize this function to take in [start,stop,val] NT sequence ranges to shade any arbitrary metric
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index e3dc222730..06479b84ce 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -135,6 +135,31 @@ function calcXBounds() {
   return [min, max + scaleFactor*genomeMax];
 }
 
+/*
+ *  Show/hide gene labels to show the max amount possible s.t. none overlap.
+ */
+function checkGeneLabels() {
+  var labels = canvas.getObjects().filter(obj => obj.id == 'geneLabel');
+  for(var i = 0; i < labels.length-1; i++) {
+    if(arrowStyle == 3) {
+      // hide labels that don't fit inside pentagon arrows
+      if(labels[i].width/2 > canvas.getObjects().filter(obj => obj.id == 'arrow')[i].width) {
+        labels[i].visible = false;
+        continue;
+      }
+      labels[i].visible = true;
+    }
+    var p = i+1;
+    while(p < labels.length && labels[i].intersectsWithObject(labels[p])) {
+      labels[p].visible = false;
+      p++;
+    }
+    if(p == labels.length) return;
+    labels[p].visible = true;
+    i = p - 1;
+  }
+}
+
 function getCategoryForKEGGClass(class_str) {
   if(class_str == null) return null;
 

From f89c97376e3d174217aed3c02ddeff1e0fe17991 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 19 Aug 2021 21:36:17 +0000
Subject: [PATCH 0269/1020] sub file for ephemeral items for testing.

---
 anvio/data/interactive/genomeview.html       |  1 +
 anvio/data/interactive/js/genomeview/test.js | 28 ++++++++++++++++++++
 2 files changed, 29 insertions(+)
 create mode 100644 anvio/data/interactive/js/genomeview/test.js

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 3883224d43..d1e6092169 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -29,6 +29,7 @@
         <script type="text/javascript" src="./js/genomeview/main.js"></script>
         <script type="text/javascript" src="./js/genomeview/drawer.js"></script>
         <script type="text/javascript" src="./js/genomeview/scale.js"></script>
+        <script type="text/javascript" src="./js/genomeview/test.js"></script>
         <script type="text/javascript" src="./js/genomeview/ui.js"></script>
         <script type="text/javascript" src="./js/genomeview/utils.js"></script>
 
diff --git a/anvio/data/interactive/js/genomeview/test.js b/anvio/data/interactive/js/genomeview/test.js
new file mode 100644
index 0000000000..0a8bf699aa
--- /dev/null
+++ b/anvio/data/interactive/js/genomeview/test.js
@@ -0,0 +1,28 @@
+/**
+ * Javascript library for anvi'o genome view
+ *
+ *  Authors: Isaac Fink <iafink@uchicago.edu>
+ *           Matthew Klein <mtt.l.kln@gmail.com>
+ *           A. Murat Eren <a.murat.eren@gmail.com>
+ *
+ * Copyright 2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
+/**
+ * File Overview : This file contains temporary functions and processes used to test various functionality within 
+ * genomeview. They are gathered here so as not to pollute the other genomeview files. 
+ */
+
+function drawTestShades() {
+  shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"});
+}
\ No newline at end of file

From 2cd3b756254e29aa8132065bc0efe43b80f4ab4f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 19 Aug 2021 21:45:17 +0000
Subject: [PATCH 0270/1020] more imgration!

---
 .../data/interactive/js/genomeview/drawer.js  | 103 ++++++++++++++++--
 anvio/data/interactive/js/genomeview/utils.js |  25 +++++
 2 files changed, 121 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 4c0e1ee7c0..de21990326 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -41,6 +41,75 @@ gDrawer.prototype.draw = function(){
   drawTestShades();
 }
 
+gDrawer.prototype.addGenome = function(orderIndex){
+  let genome = genomeData.genomes[orderIndex];
+  let gene_list = genome[1].genes.gene_calls;
+  let genomeLabel = gene_list[0].contig;
+  let genomeID = genome[0];
+  let y = marginTop + orderIndex*spacing;
+
+  let layerHeight = spacing / maxGroupSize
+  if(showLabels) {
+    canvas.add(new fabric.Text(genomeLabel, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
+  }
+
+  let [start, stop] = percentScale ? getRenderXRangeForFrac() : renderWindow.map(x => x*scaleFactor + xDisps[genomeID]);
+  start = clamp(start > xDisps[genomeID] ? start : xDisps[genomeID], calcXBounds()[0], calcXBounds()[1]);
+  stop = clamp(stop, calcXBounds()[0], calcXBounds()[1]);
+
+  // line
+  let lineObj = new fabric.Line([start,0,stop,0], {
+        id: 'genomeLine',
+        groupID: genomeID,
+        top: y + 4,
+        stroke: 'black',
+        strokeWidth: 2,
+        lockMovementY: true,
+        hasControls: false,
+        hasBorders: false,
+        lockScaling: true});
+  canvas.add(lineObj);
+  addBackgroundShade(y, start, genomeMax, layerHeight, orderIndex)
+
+  for(let geneID in gene_list) {
+    let gene = gene_list[geneID];
+    let [ntStart, ntStop] = getRenderNTRange(genomeID);
+    if(gene.start < ntStart) continue;
+    if(gene.stop > ntStop) return;
+    var geneObj = geneArrow(gene,geneID,y,genomeID,arrowStyle);
+    canvas.add(geneObj);
+
+    if(showGeneLabels) {
+      var label = new fabric.IText("geneID: "+geneID, {
+        id: 'geneLabel',
+        groupID: genomeID,
+        fontSize: geneLabelSize,
+        angle: geneLabelPos == "slanted" ? -10 : 0,
+        left: xDisps[genomeID]+(gene.start+50)*scaleFactor,
+        scaleX: 0.5,
+        scaleY: 0.5,
+        hasControls: false,
+        lockMovementX: true,
+        lockMovementY: true,
+        lockScaling: true,
+        hoverCursor: 'text'
+      });
+      if(arrowStyle == 3) {
+        label.set({
+          top: geneLabelPos == "inside" ? y-5 : y-30,
+          selectionColor:'rgba(128,128,128,.5)'
+        });
+      } else {
+        label.set({
+          top: y-30,
+          selectionColor:'rgba(128,128,128,.2)'
+        });
+      }
+      canvas.add(label);
+    }
+  }
+}
+
 /*
  *  Draw background shades between genes of the same cluster.
  *  TODO: generalize this function to take in [start,stop,val] NT sequence ranges to shade any arbitrary metric
@@ -91,16 +160,36 @@ gDrawer.prototype.shadeGeneClusters = function(geneClusters, colors){
   }
 }
 
+gDrawer.prototype.glowGenes = function(geneParams){
+   // convert geneParams format (1) to format (2)
+   if(Array.isArray(geneParams[0].geneID)) {
+    let newParams = [];
+    for(genome of geneParams) {
+      for(gene of genome.geneID) newParams.push({genomeID:genome.genomeID, geneID:gene});
+    }
+    geneParams = newParams;
+  }
+
+  var shadow = new fabric.Shadow({
+    color: 'red',
+    blur: 30
+  });
+  var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow' && geneParams.some(g => g.genomeID == obj.genomeID && g.geneID == obj.geneID));
+  for(arrow of arrows) {
+    arrow.set('shadow', shadow);
+    arrow.animate('shadow.blur', 0, {
+      duration: 3000,
+      onChange: canvas.renderAll.bind(canvas),
+      onComplete: function(){ arrow.shadow = null; },
+      easing: fabric.util.ease['easeInQuad']
+    });
+  }
+  canvas.renderAll();
+}
+
 /*
  *  Clear all gene links from the canvas.
  */
 gDrawer.prototype.clearShades = function(){
   canvas.getObjects().filter(obj => obj.id == 'link').forEach((l) => { canvas.remove(l) });
-}
-
-/*
- *  Temporary function for testing shades.
- */
-gDrawer.prototype.drawTestShades = function(){
-  shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"});
 }
\ No newline at end of file
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 06479b84ce..3f18df25ff 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -57,6 +57,31 @@ function calculateMaxGenomeLength(){
   }
 }
 
+/*
+ *  @returns NT position of the middle of each gene in a given genome with a specified gene cluster
+ */
+function getGenePosForGenome(genomeID, gc) {
+  var targetGenes = getGenesOfGC(genomeID, gc);
+  if(targetGenes == null) return null;
+
+  let genome = genomeData.genomes.find(g => g[0] == genomeID);
+  let mids = [];
+  for(geneID of targetGenes) {
+    let gene = genome[1].genes.gene_calls[geneID];
+    let geneMid = gene.start + (gene.stop - gene.start) / 2;
+    mids.push(geneMid);
+  }
+  return mids;
+}
+
+/*
+ *  @returns array of geneIDs in a given genome with a specified gene cluster
+ */
+function getGenesOfGC(genomeID, gc) {
+  var targetGenes = genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID];
+  return targetGenes.length > 0 ? targetGenes : null;
+}
+
 /*
  *  @returns [start, stop] nt range for the current viewport and scaleFactor
  */

From bc5c216bdf0a65defd594d3d87985af3e7c4249c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 20 Aug 2021 14:41:00 +0000
Subject: [PATCH 0271/1020] drawer migration

---
 .../data/interactive/js/genomeview/drawer.js  | 116 ++++++++++++++++++
 1 file changed, 116 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index de21990326..c4231ab4ca 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -110,6 +110,122 @@ gDrawer.prototype.addGenome = function(orderIndex){
   }
 }
 
+/*
+ *  For each genome group, iterate additional layers beyond genome and render where appropriate
+ */
+gDrawer.prototype.addLayers = function(orderIndex){
+  yOffset = orderIndex * spacing;
+  let genomeID = genomeData.genomes[orderIndex][0];
+  let genome = genomeData.genomes[orderIndex][1];
+  let label = genome.genes.gene_calls[0].contig;
+
+  let additionalDataLayers = stateData['additional-data-layers'].find(group => group.genome == label)
+  let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
+
+  stateData['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
+    let layerPos = [spacing / maxGroupSize] * idx
+
+    if(layer == 'Ruler' && additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
+      buildGroupRulerLayer(genomeID, layerPos, orderIndex)
+    }
+    if(layer == 'Coverage' && additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
+      buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', orderIndex)
+    }
+    if(layer == 'GC_Content' && additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
+      buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', orderIndex)
+    }
+  })
+}
+
+/*
+ *  Process to generate numerical ADL for genome groups (ie Coverage, GC Content )
+ */
+gDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor, orderIndex){
+  let maxGCValue = 0
+    let startingTop = marginTop + yOffset + layerPos
+    let startingLeft = xDisps[genomeID]
+    let layerHeight = spacing / maxGroupSize
+    let pathDirective = [`M 0 0`]
+
+    for(let i = 0; i < additionalDataLayers[layer].length; i++){
+      additionalDataLayers[layer][i] > maxGCValue ? maxGCValue = additionalDataLayers[layer][i] : null
+    }
+
+    let nGroups = 20
+    let j = 0
+    let [l,r] = getRenderNTRange(genomeID);
+    for(let i = 0; i < nGroups; i++) {
+      for(; j < i*genomeMax/nGroups; j+=ptInterval){
+        if(j < l) continue;
+        if(j > r) break;
+        let left = j * scaleFactor + startingLeft
+        let top = [additionalDataLayers[layer][j] / maxGCValue] * layerHeight
+        let segment = `L ${left} ${top}`
+        pathDirective.push(segment)
+      }
+      let graphObj = new fabric.Path(pathDirective.join(' '))
+      graphObj.set({
+        top : startingTop,
+        stroke : additionalDataLayers[layer] ? additionalDataLayers[`${layer}-color`] : defaultColor,
+        fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
+        selectable: false,
+        objectCaching: false,
+        id : `${layer} graph`,
+        groupID : genomeID,
+        genome : additionalDataLayers['genome']
+      })
+      canvas.bringToFront(graphObj)
+      pathDirective = []
+    }
+    addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
+}
+
+/*
+ *  Generate individual genome group rulers
+ */
+gDrawer.prototype.buildGroupRulerLayer = function(){
+  let startingTop = marginTop + yOffset + layerPos
+  let startingLeft = xDisps[genomeID]
+  let layerHeight = spacing / maxGroupSize
+
+  // split ruler into several objects to avoid performance cost of large object pixel size
+  let nRulers = 20;
+  let w = 0;
+  let [l,r] = getRenderNTRange(genomeID);
+  for(let i = 0; i < nRulers; i++) {
+    let ruler = new fabric.Group();
+    for(; w < (i+1)*genomeMax/nRulers; w+=scaleInterval) {
+      if(w < l) continue;
+      if(w > r) break;
+      let tick = new fabric.Line([0,0,0,20], {left: (w*scaleFactor),
+            stroke: 'black',
+            strokeWidth: 1,
+            fontSize: 10,
+            fontFamily: 'sans-serif'});
+      let lbl = new fabric.Text(w/1000 + " kB", {left: (w*scaleFactor+5),
+            stroke: 'black',
+            strokeWidth: .25,
+            fontSize: 15,
+            fontFamily: 'sans-serif'});
+      ruler.add(tick);
+      ruler.add(lbl);
+    }
+      ruler.set({
+        left: startingLeft,
+        top: startingTop,
+        lockMovementY: true,
+        hasControls: false,
+        hasBorders: false,
+        lockScaling: true,
+        objectCaching: false,
+        groupID: genomeID
+      });
+      ruler.addWithUpdate();
+      canvas.add(ruler);
+  }
+  addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
+}
+
 /*
  *  Draw background shades between genes of the same cluster.
  *  TODO: generalize this function to take in [start,stop,val] NT sequence ranges to shade any arbitrary metric

From 9f3e5900ca315114a696e413f2ae9778364087f4 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 20 Aug 2021 14:42:54 +0000
Subject: [PATCH 0272/1020] drawer class migration

---
 .../data/interactive/js/genomeview/drawer.js  | 21 +++++++++++++++++++
 1 file changed, 21 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index c4231ab4ca..40f085a2a0 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -226,6 +226,27 @@ gDrawer.prototype.buildGroupRulerLayer = function(){
   addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
 }
 
+/*
+ *  adds an alternating shade to each genome group for easier visual distinction amongst adjacent groups
+ */
+gDrawer.prototype.addBackgroundShade = function(top, left, width, height, orderIndex){
+  let backgroundShade;
+  orderIndex % 2 == 0 ? backgroundShade = '#b8b8b8' : backgroundShade = '#f5f5f5'
+
+  let background = new fabric.Rect({
+    groupID: genomeData.genomes[orderIndex][0],
+    top: top,
+    left: left,
+    width: width,
+    height: height,
+    fill: backgroundShade,
+    selectable: false,
+    opacity : .5
+  });
+  canvas.add(background)
+  canvas.sendToBack(background)
+}
+
 /*
  *  Draw background shades between genes of the same cluster.
  *  TODO: generalize this function to take in [start,stop,val] NT sequence ranges to shade any arbitrary metric

From e5810b2811db3d29b6b45677cfc50547e6ee17e4 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 20 Aug 2021 14:44:36 +0000
Subject: [PATCH 0273/1020] more drawer class migration

---
 .../data/interactive/js/genomeview/drawer.js  | 69 +++++++++++++++++++
 1 file changed, 69 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 40f085a2a0..fc12167275 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -247,6 +247,75 @@ gDrawer.prototype.addBackgroundShade = function(top, left, width, height, orderI
   canvas.sendToBack(background)
 }
 
+gDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
+  let ind = genomeData.genomes.findIndex(g => g[0] == genomeID);
+  let functions = genomeData.genomes[ind][1].genes.functions[geneID];
+
+  let color = 'gray';
+  let cag = functions && functions[color_db] ? functions[color_db][1][0] : null;
+
+  // TODO: use state instead of hardcoded color pickers
+
+  // check if gene is highlighted
+  let pickerCode = genomeID + '-' + geneID;
+  if($('#picker_' + pickerCode).length > 0) {
+    color = $('#picker_' + pickerCode).attr('color');
+  } else {
+    if(cag) {
+       if($('#picker_' + cag).length > 0) color = $('#picker_' + cag).attr('color');
+    } else {
+      if (gene.source.startsWith('Ribosomal_RNA')) {
+        cag = 'rRNA';
+      } else if (gene.source == 'Transfer_RNAs') {
+        cag = 'tRNA';
+      } else if (gene.functions !== null) {
+        cag = 'Function';
+      }
+      if($('#picker_' + cag).length > 0) color = $('#picker_' + cag).attr('color');
+    }
+  }
+
+  let length = (gene.stop-gene.start)*scaleFactor;
+  let stemLength = length-25 > 0 ? length-25 : 0;
+
+  var arrowPathStr;
+  switch(style) {
+    case 2: // thicker arrows
+      arrowPathStr = 'M ' + stemLength + ' -5 L 0 -5 L 0 15 L ' + stemLength + ' 15 L ' + stemLength + ' 15 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
+      break;
+    case 3: // pentagon arrows
+      arrowPathStr = 'M 0 0 L ' + stemLength + ' 0 L ' + length + ' 20 L ' + stemLength + ' 40 L 0 40 L 0 0 z';
+      break;
+    case 4: // rect arrows
+      arrowPathStr = 'M ' + length + ' -5 L 0 -5 L 0 15 L ' + length + ' 15 z';
+      break;
+    default: // 'inspect page' arrows
+      arrowPathStr = 'M ' + stemLength + ' 0 L 0 0 L 0 10 L ' + stemLength + ' 10 L ' + stemLength + ' 10 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
+      break;
+  }
+
+  var arrow = new fabric.Path(arrowPathStr);
+  arrow.set({
+    id: 'arrow',
+    groupID: genomeID,
+    lockMovementY: true,
+    hasControls: false,
+    hasBorders: false,
+    lockScaling: true,
+    gene: gene,
+    geneID: geneID,
+    genomeID: genomeID,
+    top: style == 3 ? y-17 : y-11,
+    left: xDisps[genomeID] + (1.5+gene.start)*scaleFactor,
+    fill: color,
+    stroke: 'gray',
+    strokeWidth: style == 3 ? 3 : 1.5
+  });
+  if(gene.direction == 'r') arrow.rotate(180);
+
+  return arrow;
+}
+
 /*
  *  Draw background shades between genes of the same cluster.
  *  TODO: generalize this function to take in [start,stop,val] NT sequence ranges to shade any arbitrary metric

From df377722340c14aeae0b3c60a7313831e5cd6304 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 23 Aug 2021 14:43:52 +0000
Subject: [PATCH 0274/1020] main.js migration

---
 anvio/data/interactive/js/genomeview/main.js | 458 ++++++++++++++++++-
 1 file changed, 454 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 34ab481a18..6c2ab85a88 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -19,7 +19,457 @@
  */
 
 /**
- * File Overview : 
- * 
- * 
- */
\ No newline at end of file
+ * File Overview : This file is the entrypoint for genomeview. Here, genomic + state data are are retrieved from the backend, processed, and passed to the various other
+ * genomeview modules to build out UI and render visualizations. Generally speaking, this file should stay pretty lean and purpose-driven.  
+ */
+
+ $(document).ready(function() {
+    initData();
+    // loadState();
+    processState('default', stateData) // lifted here until loadState is hooked in from backend
+    loadAll();
+});
+
+function initData() {
+    // initialize the bulk of the data.
+        $.ajax({
+            type: 'POST',
+            cache: false,
+            url: '/data/get_genome_view_data',
+            async:false,
+            success: function(data) {
+                genomeData = data;
+                console.log("Saved the following data:");
+                console.log(data);
+    
+                let genomes = Object.entries(genomeData.genomes) // an array of 2d arrays, where each genome[0] is the object key, and genome[1] is the value
+                genomeData.genomes = genomes
+            }
+        });
+    }
+    
+    function loadState(){
+    
+        $.ajax({
+            type: 'GET',
+            cache: false,
+            url: '/data/genome_view/state/get/' + state_name,
+            success: function(response) {
+                try{
+                    // processState(state_name, response[0]); process actual response from backend
+                    processState(state_name, mockStateData); // process mock state data
+                }catch(e){
+                    console.error("Exception thrown", e.stack);
+                    toastr.error('Failed to parse state data, ' + e);
+                    defer.reject();
+                    return;
+                }
+                // waitingDialog.hide();
+            }
+        })
+    }
+    
+    function serializeSettings(){
+      // TODO same process as the serializeSettings() function for anvi-interactive
+      // first we run through all of the UI element default values and store them as state
+      // then we update them as necessary below in processState
+    }
+    
+    function processState(stateName, stateData){
+      calculateMaxGenomeLength()
+      if(stateData.hasOwnProperty('group-layer-order')){
+        // TODO process
+      } else {
+        stateData['group-layer-order'] = ['Genome', 'Ruler']
+      }
+    
+      if(stateData.hasOwnProperty('additional-data-layers')){
+        // TODO process
+      } else {
+        stateData['additional-data-layers'] = []
+        generateMockADL()
+      }
+    
+      // working under the assumption that all genome groups with contain the same additional data layers,
+      // we can query the first genome group for specific ADL and go from there
+      buildGroupLayersTable('Genome')
+      if(stateData['additional-data-layers'][0]['ruler']) {
+        buildGroupLayersTable('Ruler')
+        // don't increase group size for ruler since it requires less space
+      }
+      if(stateData['additional-data-layers'][0]['coverage']){
+        buildGroupLayersTable('Coverage')
+        stateData['group-layer-order'].push('Coverage')
+        maxGroupSize += 1 // increase group size if coverage layer exists
+      }
+    
+      if(stateData['additional-data-layers'][0]['gcContent']){
+        buildGroupLayersTable('GC_Content')
+        stateData['group-layer-order'].push('GC_Content')
+        maxGroupSize += 1 // increase group size if GC layer exists
+      }
+    
+      if(stateData.hasOwnProperty('genome-order-method')){
+        stateData['genome-order-method'].forEach(orderMethod => {
+          $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
+        })
+      } else {
+        generateMockGenomeOrder()
+        stateData['genome-order-method'].forEach(orderMethod => {
+          $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
+        })
+      }
+    
+      if(stateData.hasOwnProperty('display')){
+        // TODO process
+      } else {
+        stateData['display'] = {}
+        stateData['display']['additionalDataLayers'] = {}
+      }
+      if(stateData['display'].hasOwnProperty('bookmarks')){
+        stateData['display']['bookmarks'].map(bookmark => {
+          $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
+        })
+        respondToBookmarkSelect()
+      } else {
+        calculateMaxGenomeLength() // remove later, only here to set max length for bookmark
+        stateData['display']['bookmarks'] = [ // gen mock data
+          {
+            name : 'entire seq',
+            start : '0',
+            stop : genomeMax,
+            description : 'a mighty fine placeholder'
+          },
+          {
+            name : 'shindig',
+            start : '5000',
+            stop : '9000',
+            description : 'a beautiful placeholder'
+          },
+          {
+            name : 'fiesta',
+            start : '15000',
+            stop : '19000',
+            description : 'an adequate placeholder'
+          },
+          {
+            name : 'party',
+            start : '25000',
+            stop : '29000',
+            description : 'the very best placeholder'
+          },
+        ]
+        stateData['display']['bookmarks'].map(bookmark => {
+          $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
+        })
+        // set listener for user bookmark selection
+        respondToBookmarkSelect()
+      }
+    
+      function generateMockADL(){
+        for(let i = 0; i < genomeData.genomes.length; i++){ // generate mock additional data layer content
+          let gcContent = []
+          let coverage = []
+          for(let j = 0; j < genomeMax; j++){
+            gcContent.push(Math.floor(Math.random() * 45))
+            coverage.push(Math.floor(Math.random() * 45))
+          }
+          let genomeLabel = Object.keys(genomeData.genomes[i][1]['contigs']['info'])[0];
+          let additionalDataObject = {
+            'genome' : genomeLabel,
+            'coverage' : coverage,
+            'coverage-color' : 'blue',
+            'gcContent' : gcContent,
+            'gcContent-color' : 'purple',
+            'ruler' : true // TODO: store any genome-specific scale data here
+          }
+          stateData['additional-data-layers'].push(additionalDataObject)
+        }
+      }
+      function generateMockGenomeOrder(){
+        stateData['genome-order-method'] = [{
+            'name' : 'cats',
+            'ordering' : 'some order'
+          }, {
+            'name' : 'dogs',
+            'ordering' : 'some other order'
+          }, {
+            'name' : 'birds',
+            'ordering' : 'beaks to tails'
+        }]
+      }
+    }
+
+    function loadAll() {
+        buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
+        canvas = new fabric.Canvas('myCanvas');
+        canvas.setWidth(VIEWER_WIDTH * 0.85);
+      
+        $('.container').css({'height' : VIEWER_HEIGHT + 'px', 'overflow-y' : 'auto'})
+        xDisplacement = showLabels ? 120 : 0;
+        for(genome of genomeData.genomes) {
+          xDisps[genome[0]] = xDisplacement;
+        }
+      
+        // Find max length genome
+        calculateMaxGenomeLength()
+      
+        drawScale();
+      
+        $('#brush_start').val(0);
+        $('#brush_end').val(Math.floor(canvas.getWidth()));
+      
+        $('#tooltip-body').hide() // set initual tooltip hide value
+        $('#show_genome_labels_box').attr("checked", showLabels);
+        $('#show_gene_labels_box').attr("checked", showGeneLabels);
+        $('#show_dynamic_scale_box').attr("checked", dynamicScaleInterval);
+      
+        // can either set arrow click listener on the canvas to check for all arrows, or when arrow is created.
+      
+        // disable group selection
+        canvas.on('selection:created', (e) => {
+          if(e.target.type === 'activeSelection') {
+            canvas.discardActiveObject();
+          }
+        })
+      
+        canvas.on('mouse:over', (event) => {
+          if(event.target && event.target.id === 'arrow'){
+            showToolTip(event)
+          }
+        })
+      
+        canvas.on('mouse:out', (event) => {
+          $('#tooltip-body').html('').hide()
+        })
+      
+        if(showGeneLabels && arrowStyle != 3) {
+          marginTop = 60;
+          spacing = 200; // TODO maybe we refactor this out into a setSpacing() method for clarity?
+          $("#genome_spacing").val(spacing);
+        }
+      
+        function showToolTip(event){
+          $('#tooltip-body').show().append(`
+            <p></p>
+            <style type="text/css">
+              .tftable {font-size:12px;color:#333333;width:100%;border-width: 1px;border-color: #729ea5;border-collapse: collapse;}
+              .tftable th {font-size:12px;background-color:#acc8cc;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;text-align:left;}
+              .tftable tr {background-color:#d4e3e5;}
+              .tftable td {font-size:12px;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;}
+              .tftable tr:hover {background-color:#ffffff;}
+            </style>
+      
+            <table class="tftable" border="1">
+              <tr><th>Data</th><th>Value</th></tr>
+              <tr><td>Split</td><td>${event.target.gene.contig}</td></tr>
+              <tr><td>Start in Contig</td><td>${event.target.gene.start}</td></tr>
+              <tr><td>Length</td><td>${event.target.gene.stop - event.target.gene.start}</td></tr>
+              <tr><td>Gene Callers ID</td><td>${event.target.geneID}</td></tr>
+              <tr><td>Gene Cluster</td><td>${genomeData.gene_associations["anvio-pangenome"] ? genomeData.gene_associations["anvio-pangenome"]["genome-and-gene-names-to-gene-clusters"][event.target.genomeID][event.target.geneID] : "None"}</td></tr>
+            </table>
+            <button>some action</button>
+            <button>some other action</button>
+            `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
+        }
+      
+        $('#gene_color_order').append($('<option>', {
+          value: 'Source',
+          text: 'Source'
+        }));
+        for(fn of getFunctionalAnnotations()) {
+          if(!['COG_CATEGORY', 'KEGG_CATEGORY'].includes(fn)) continue; // TODO: support any option
+          $('#gene_color_order').append($('<option>', {
+            value: fn,
+            text: fn
+          }));
+        }
+        color_db = $('#gene_color_order').val();
+        generateColorTable(fn_colors=null, fn_type=color_db);
+      
+        brush.extent([parseInt($('#brush_start').val()),parseInt($('#brush_end').val())]);
+        brush(d3.select(".brush"));
+        updateRenderWindow();
+        draw();
+      
+        // panning
+        canvas.on('mouse:down', function(opt) {
+          var evt = opt.e;
+          if (evt.shiftKey === true) {
+            this.isDragging = true;
+            this.selection = false;
+            this.lastPosX = evt.clientX;
+          }
+          this.shades = true;
+          if(opt.target && opt.target.groupID) this.prev = opt.target.left;
+        });
+        canvas.on('mouse:move', function(opt) {
+          if (this.isDragging) {
+            var e = opt.e;
+            var vpt = this.viewportTransform;
+            vpt[4] += e.clientX - this.lastPosX;
+            bindViewportToWindow();
+            this.requestRenderAll();
+            this.lastPosX = e.clientX;
+      
+            let [l,r] = getFracForVPT();
+            if(l < renderWindow[0] || r > renderWindow[1]) {
+              updateRenderWindow();
+              draw();
+            }
+          }
+        });
+        canvas.on('mouse:up', function(opt) {
+          this.setViewportTransform(this.viewportTransform);
+          if(this.isDragging) updateScalePos();
+          this.isDragging = false;
+          this.selection = true;
+          if(!this.shades) {
+            // slid a genome
+            this.shades = true;
+            drawTestShades();
+            bindViewportToWindow();
+            updateScalePos(); // adjust scale box to new sequence breadth
+            updateRenderWindow();
+      
+            redrawGenome(opt.target.groupID);
+          }
+        });
+        canvas.on('object:moving', function(opt) {
+          var gid = opt.target ? opt.target.groupID : null;
+          if(gid == null) return;
+      
+          if(opt.target.id == 'genomeLine' || (opt.target.id == 'arrow' && arrowStyle == 3)) canvas.sendBackwards(opt.target);
+          if(this.shades) {
+            clearShades();
+            this.shades = false;
+          }
+      
+          let objs = canvas.getObjects().filter(obj => obj.groupID == gid);
+      
+          var delta = opt.target.left - this.prev;
+          canvas.getObjects().filter(obj => obj.groupID == gid).forEach(o => {
+            if(o !== opt.target) o.left += delta;
+          });
+          xDisps[gid] += delta;
+      
+          this.setViewportTransform(this.viewportTransform);
+          setPercentScale();
+          this.prev = opt.target.left;
+        });
+        canvas.on('mouse:wheel', function(opt) {
+          opt.e.preventDefault();
+          opt.e.stopPropagation();
+      
+          var delta = opt.e.deltaY;
+          let tmp = scaleFactor * (0.999 ** delta);
+          let diff = tmp - scaleFactor;
+          let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+          let [newStart, newEnd] = [Math.floor(start - diff*genomeMax), Math.floor(end + diff*genomeMax)];
+          if(newStart < 0) newStart = 0;
+          if(newEnd > genomeMax) newEnd = genomeMax;
+          if(newEnd - newStart < 50) return;
+      
+          brush.extent([newStart, newEnd]);
+          brush(d3.select(".brush").transition()); // if zoom is slow or choppy, try removing .transition()
+          brush.event(d3.select(".brush"));
+          $('#brush_start').val(newStart);
+          $('#brush_end').val(newEnd);
+        });
+      
+        $('#alignClusterInput').on('keydown', function(e) {
+          if(e.keyCode == 13) { // 13 = enter key
+            alignToCluster($(this).val());
+            $(this).blur();
+          }
+        });
+        $('#panClusterInput').on('keydown', function(e) {
+          if(e.keyCode == 13) { // 13 = enter key
+            viewCluster($(this).val());
+            $(this).blur();
+          }
+        });
+        document.body.addEventListener("keydown", function(ev) {
+          if(ev.which == 83 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // S = 83
+            toggleSettingsPanel();
+          }
+        });
+        $('#genome_spacing').on('keydown', function(e) {
+          if(e.keyCode == 13) { // 13 = enter key
+            setGenomeSpacing($(this).val());
+            $(this).blur();
+          }
+        });
+        $('#gene_label').on('keydown', function(e) {
+          if(e.keyCode == 13) { // 13 = enter key
+            setGeneLabelSize($(this).val());
+            $(this).blur();
+          }
+        });
+        $('#genome_label').on('keydown', function(e) {
+          if(e.keyCode == 13) { // 13 = enter key
+            setGenomeLabelSize($(this).val());
+            $(this).blur();
+          }
+        });
+        $('#genome_scale_interval').on('keydown', function(e) {
+          if(e.keyCode == 13) { // 13 = enter key
+            setScaleInterval($(this).val());
+            $(this).blur();
+          }
+        });
+        $('#gene_color_order').on('change', function() {
+            color_db = $(this).val();
+            generateColorTable(null, color_db); // TODO: include highlight_genes, fn_colors etc from state
+            draw();
+            $(this).blur();
+        });
+        $('#arrow_style').on('change', function() {
+            arrowStyle = parseInt($(this).val());
+            draw();
+            $(this).blur();
+        });
+        $('#gene_text_pos').on('change', function() {
+            geneLabelPos = $(this).val();
+            if(!(geneLabelPos == "inside" && arrowStyle != 3)) draw();
+            $(this).blur();
+        });
+        $('#show_genome_labels_box').on('change', function() {
+          showLabels = !showLabels;
+          xDisplacement = showLabels ? 120 : 0;
+          alignToGC = null;
+          draw();
+        });
+        $('#show_gene_labels_box').on('change', function() {
+          showGeneLabels = !showGeneLabels;
+          draw();
+        });
+        $('#show_dynamic_scale_box').on('change', function() {
+          dynamicScaleInterval = !dynamicScaleInterval;
+        });
+        $('#adl_pts_per_layer').on('change', function() {
+          setPtsPerADL($(this).val());
+          $(this).blur();
+        });
+        $('#brush_start, #brush_end').keydown(function(ev) {
+            if (ev.which == 13) { // enter key
+                let [start, end] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())]
+                                                : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+                let endBound = percentScale ? 1 : genomeMax;
+      
+                if (isNaN(start) || isNaN(end) || start < 0 || start > endBound || end < 0 || end > endBound) {
+                    alert(`Invalid value, value needs to be in range 0-${endBound}.`);
+                    return;
+                }
+      
+                if (start >= end) {
+                    alert('Starting value cannot be greater or equal to the ending value.');
+                    return;
+                }
+      
+                brush.extent([start, end]);
+                brush(d3.select(".brush").transition());
+                brush.event(d3.select(".brush").transition());
+            }
+        });
+      }
\ No newline at end of file

From a286dc33657239926b549d332cf555cdc2cd27b7 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 23 Aug 2021 14:47:52 +0000
Subject: [PATCH 0275/1020] formatting!

---
 anvio/data/interactive/js/genomeview/main.js | 839 +++++++++----------
 1 file changed, 419 insertions(+), 420 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 6c2ab85a88..ce115a1961 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -23,234 +23,233 @@
  * genomeview modules to build out UI and render visualizations. Generally speaking, this file should stay pretty lean and purpose-driven.  
  */
 
- $(document).ready(function() {
-    initData();
-    // loadState();
-    processState('default', stateData) // lifted here until loadState is hooked in from backend
-    loadAll();
+$(document).ready(function () {
+  initData();
+  // loadState();
+  processState('default', stateData) // lifted here until loadState is hooked in from backend
+  loadAll();
 });
 
 function initData() {
-    // initialize the bulk of the data.
-        $.ajax({
-            type: 'POST',
-            cache: false,
-            url: '/data/get_genome_view_data',
-            async:false,
-            success: function(data) {
-                genomeData = data;
-                console.log("Saved the following data:");
-                console.log(data);
-    
-                let genomes = Object.entries(genomeData.genomes) // an array of 2d arrays, where each genome[0] is the object key, and genome[1] is the value
-                genomeData.genomes = genomes
-            }
-        });
-    }
-    
-    function loadState(){
-    
-        $.ajax({
-            type: 'GET',
-            cache: false,
-            url: '/data/genome_view/state/get/' + state_name,
-            success: function(response) {
-                try{
-                    // processState(state_name, response[0]); process actual response from backend
-                    processState(state_name, mockStateData); // process mock state data
-                }catch(e){
-                    console.error("Exception thrown", e.stack);
-                    toastr.error('Failed to parse state data, ' + e);
-                    defer.reject();
-                    return;
-                }
-                // waitingDialog.hide();
-            }
-        })
-    }
-    
-    function serializeSettings(){
-      // TODO same process as the serializeSettings() function for anvi-interactive
-      // first we run through all of the UI element default values and store them as state
-      // then we update them as necessary below in processState
+  // initialize the bulk of the data.
+  $.ajax({
+    type: 'POST',
+    cache: false,
+    url: '/data/get_genome_view_data',
+    async: false,
+    success: function (data) {
+      genomeData = data;
+      console.log("Saved the following data:");
+      console.log(data);
+
+      let genomes = Object.entries(genomeData.genomes) // an array of 2d arrays, where each genome[0] is the object key, and genome[1] is the value
+      genomeData.genomes = genomes
     }
-    
-    function processState(stateName, stateData){
-      calculateMaxGenomeLength()
-      if(stateData.hasOwnProperty('group-layer-order')){
-        // TODO process
-      } else {
-        stateData['group-layer-order'] = ['Genome', 'Ruler']
-      }
-    
-      if(stateData.hasOwnProperty('additional-data-layers')){
-        // TODO process
-      } else {
-        stateData['additional-data-layers'] = []
-        generateMockADL()
-      }
-    
-      // working under the assumption that all genome groups with contain the same additional data layers,
-      // we can query the first genome group for specific ADL and go from there
-      buildGroupLayersTable('Genome')
-      if(stateData['additional-data-layers'][0]['ruler']) {
-        buildGroupLayersTable('Ruler')
-        // don't increase group size for ruler since it requires less space
-      }
-      if(stateData['additional-data-layers'][0]['coverage']){
-        buildGroupLayersTable('Coverage')
-        stateData['group-layer-order'].push('Coverage')
-        maxGroupSize += 1 // increase group size if coverage layer exists
-      }
-    
-      if(stateData['additional-data-layers'][0]['gcContent']){
-        buildGroupLayersTable('GC_Content')
-        stateData['group-layer-order'].push('GC_Content')
-        maxGroupSize += 1 // increase group size if GC layer exists
-      }
-    
-      if(stateData.hasOwnProperty('genome-order-method')){
-        stateData['genome-order-method'].forEach(orderMethod => {
-          $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
-        })
-      } else {
-        generateMockGenomeOrder()
-        stateData['genome-order-method'].forEach(orderMethod => {
-          $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
-        })
-      }
-    
-      if(stateData.hasOwnProperty('display')){
-        // TODO process
-      } else {
-        stateData['display'] = {}
-        stateData['display']['additionalDataLayers'] = {}
-      }
-      if(stateData['display'].hasOwnProperty('bookmarks')){
-        stateData['display']['bookmarks'].map(bookmark => {
-          $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
-        })
-        respondToBookmarkSelect()
-      } else {
-        calculateMaxGenomeLength() // remove later, only here to set max length for bookmark
-        stateData['display']['bookmarks'] = [ // gen mock data
-          {
-            name : 'entire seq',
-            start : '0',
-            stop : genomeMax,
-            description : 'a mighty fine placeholder'
-          },
-          {
-            name : 'shindig',
-            start : '5000',
-            stop : '9000',
-            description : 'a beautiful placeholder'
-          },
-          {
-            name : 'fiesta',
-            start : '15000',
-            stop : '19000',
-            description : 'an adequate placeholder'
-          },
-          {
-            name : 'party',
-            start : '25000',
-            stop : '29000',
-            description : 'the very best placeholder'
-          },
-        ]
-        stateData['display']['bookmarks'].map(bookmark => {
-          $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
-        })
-        // set listener for user bookmark selection
-        respondToBookmarkSelect()
+  });
+}
+
+function loadState() {
+  $.ajax({
+    type: 'GET',
+    cache: false,
+    url: '/data/genome_view/state/get/' + state_name,
+    success: function (response) {
+      try {
+        // processState(state_name, response[0]); process actual response from backend
+        processState(state_name, mockStateData); // process mock state data
+      } catch (e) {
+        console.error("Exception thrown", e.stack);
+        toastr.error('Failed to parse state data, ' + e);
+        defer.reject();
+        return;
       }
-    
-      function generateMockADL(){
-        for(let i = 0; i < genomeData.genomes.length; i++){ // generate mock additional data layer content
-          let gcContent = []
-          let coverage = []
-          for(let j = 0; j < genomeMax; j++){
-            gcContent.push(Math.floor(Math.random() * 45))
-            coverage.push(Math.floor(Math.random() * 45))
-          }
-          let genomeLabel = Object.keys(genomeData.genomes[i][1]['contigs']['info'])[0];
-          let additionalDataObject = {
-            'genome' : genomeLabel,
-            'coverage' : coverage,
-            'coverage-color' : 'blue',
-            'gcContent' : gcContent,
-            'gcContent-color' : 'purple',
-            'ruler' : true // TODO: store any genome-specific scale data here
-          }
-          stateData['additional-data-layers'].push(additionalDataObject)
-        }
+      // waitingDialog.hide();
+    }
+  })
+}
+
+function serializeSettings() {
+  // TODO same process as the serializeSettings() function for anvi-interactive
+  // first we run through all of the UI element default values and store them as state
+  // then we update them as necessary below in processState
+}
+
+function processState(stateName, stateData) {
+  calculateMaxGenomeLength()
+  if (stateData.hasOwnProperty('group-layer-order')) {
+    // TODO process
+  } else {
+    stateData['group-layer-order'] = ['Genome', 'Ruler']
+  }
+
+  if (stateData.hasOwnProperty('additional-data-layers')) {
+    // TODO process
+  } else {
+    stateData['additional-data-layers'] = []
+    generateMockADL()
+  }
+
+  // working under the assumption that all genome groups with contain the same additional data layers,
+  // we can query the first genome group for specific ADL and go from there
+  buildGroupLayersTable('Genome')
+  if (stateData['additional-data-layers'][0]['ruler']) {
+    buildGroupLayersTable('Ruler')
+    // don't increase group size for ruler since it requires less space
+  }
+  if (stateData['additional-data-layers'][0]['coverage']) {
+    buildGroupLayersTable('Coverage')
+    stateData['group-layer-order'].push('Coverage')
+    maxGroupSize += 1 // increase group size if coverage layer exists
+  }
+
+  if (stateData['additional-data-layers'][0]['gcContent']) {
+    buildGroupLayersTable('GC_Content')
+    stateData['group-layer-order'].push('GC_Content')
+    maxGroupSize += 1 // increase group size if GC layer exists
+  }
+
+  if (stateData.hasOwnProperty('genome-order-method')) {
+    stateData['genome-order-method'].forEach(orderMethod => {
+      $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
+    })
+  } else {
+    generateMockGenomeOrder()
+    stateData['genome-order-method'].forEach(orderMethod => {
+      $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
+    })
+  }
+
+  if (stateData.hasOwnProperty('display')) {
+    // TODO process
+  } else {
+    stateData['display'] = {}
+    stateData['display']['additionalDataLayers'] = {}
+  }
+  if (stateData['display'].hasOwnProperty('bookmarks')) {
+    stateData['display']['bookmarks'].map(bookmark => {
+      $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
+    })
+    respondToBookmarkSelect()
+  } else {
+    calculateMaxGenomeLength() // remove later, only here to set max length for bookmark
+    stateData['display']['bookmarks'] = [ // gen mock data
+      {
+        name: 'entire seq',
+        start: '0',
+        stop: genomeMax,
+        description: 'a mighty fine placeholder'
+      },
+      {
+        name: 'shindig',
+        start: '5000',
+        stop: '9000',
+        description: 'a beautiful placeholder'
+      },
+      {
+        name: 'fiesta',
+        start: '15000',
+        stop: '19000',
+        description: 'an adequate placeholder'
+      },
+      {
+        name: 'party',
+        start: '25000',
+        stop: '29000',
+        description: 'the very best placeholder'
+      },
+    ]
+    stateData['display']['bookmarks'].map(bookmark => {
+      $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
+    })
+    // set listener for user bookmark selection
+    respondToBookmarkSelect()
+  }
+
+  function generateMockADL() {
+    for (let i = 0; i < genomeData.genomes.length; i++) { // generate mock additional data layer content
+      let gcContent = []
+      let coverage = []
+      for (let j = 0; j < genomeMax; j++) {
+        gcContent.push(Math.floor(Math.random() * 45))
+        coverage.push(Math.floor(Math.random() * 45))
       }
-      function generateMockGenomeOrder(){
-        stateData['genome-order-method'] = [{
-            'name' : 'cats',
-            'ordering' : 'some order'
-          }, {
-            'name' : 'dogs',
-            'ordering' : 'some other order'
-          }, {
-            'name' : 'birds',
-            'ordering' : 'beaks to tails'
-        }]
+      let genomeLabel = Object.keys(genomeData.genomes[i][1]['contigs']['info'])[0];
+      let additionalDataObject = {
+        'genome': genomeLabel,
+        'coverage': coverage,
+        'coverage-color': 'blue',
+        'gcContent': gcContent,
+        'gcContent-color': 'purple',
+        'ruler': true // TODO: store any genome-specific scale data here
       }
+      stateData['additional-data-layers'].push(additionalDataObject)
     }
+  }
+  function generateMockGenomeOrder() {
+    stateData['genome-order-method'] = [{
+      'name': 'cats',
+      'ordering': 'some order'
+    }, {
+      'name': 'dogs',
+      'ordering': 'some other order'
+    }, {
+      'name': 'birds',
+      'ordering': 'beaks to tails'
+    }]
+  }
+}
 
-    function loadAll() {
-        buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
-        canvas = new fabric.Canvas('myCanvas');
-        canvas.setWidth(VIEWER_WIDTH * 0.85);
-      
-        $('.container').css({'height' : VIEWER_HEIGHT + 'px', 'overflow-y' : 'auto'})
-        xDisplacement = showLabels ? 120 : 0;
-        for(genome of genomeData.genomes) {
-          xDisps[genome[0]] = xDisplacement;
-        }
-      
-        // Find max length genome
-        calculateMaxGenomeLength()
-      
-        drawScale();
-      
-        $('#brush_start').val(0);
-        $('#brush_end').val(Math.floor(canvas.getWidth()));
-      
-        $('#tooltip-body').hide() // set initual tooltip hide value
-        $('#show_genome_labels_box').attr("checked", showLabels);
-        $('#show_gene_labels_box').attr("checked", showGeneLabels);
-        $('#show_dynamic_scale_box').attr("checked", dynamicScaleInterval);
-      
-        // can either set arrow click listener on the canvas to check for all arrows, or when arrow is created.
-      
-        // disable group selection
-        canvas.on('selection:created', (e) => {
-          if(e.target.type === 'activeSelection') {
-            canvas.discardActiveObject();
-          }
-        })
-      
-        canvas.on('mouse:over', (event) => {
-          if(event.target && event.target.id === 'arrow'){
-            showToolTip(event)
-          }
-        })
-      
-        canvas.on('mouse:out', (event) => {
-          $('#tooltip-body').html('').hide()
-        })
-      
-        if(showGeneLabels && arrowStyle != 3) {
-          marginTop = 60;
-          spacing = 200; // TODO maybe we refactor this out into a setSpacing() method for clarity?
-          $("#genome_spacing").val(spacing);
-        }
-      
-        function showToolTip(event){
-          $('#tooltip-body').show().append(`
+function loadAll() {
+  buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
+  canvas = new fabric.Canvas('myCanvas');
+  canvas.setWidth(VIEWER_WIDTH * 0.85);
+
+  $('.container').css({ 'height': VIEWER_HEIGHT + 'px', 'overflow-y': 'auto' })
+  xDisplacement = showLabels ? 120 : 0;
+  for (genome of genomeData.genomes) {
+    xDisps[genome[0]] = xDisplacement;
+  }
+
+  // Find max length genome
+  calculateMaxGenomeLength()
+
+  drawScale();
+
+  $('#brush_start').val(0);
+  $('#brush_end').val(Math.floor(canvas.getWidth()));
+
+  $('#tooltip-body').hide() // set initual tooltip hide value
+  $('#show_genome_labels_box').attr("checked", showLabels);
+  $('#show_gene_labels_box').attr("checked", showGeneLabels);
+  $('#show_dynamic_scale_box').attr("checked", dynamicScaleInterval);
+
+  // can either set arrow click listener on the canvas to check for all arrows, or when arrow is created.
+
+  // disable group selection
+  canvas.on('selection:created', (e) => {
+    if (e.target.type === 'activeSelection') {
+      canvas.discardActiveObject();
+    }
+  })
+
+  canvas.on('mouse:over', (event) => {
+    if (event.target && event.target.id === 'arrow') {
+      showToolTip(event)
+    }
+  })
+
+  canvas.on('mouse:out', (event) => {
+    $('#tooltip-body').html('').hide()
+  })
+
+  if (showGeneLabels && arrowStyle != 3) {
+    marginTop = 60;
+    spacing = 200; // TODO maybe we refactor this out into a setSpacing() method for clarity?
+    $("#genome_spacing").val(spacing);
+  }
+
+  function showToolTip(event) {
+    $('#tooltip-body').show().append(`
             <p></p>
             <style type="text/css">
               .tftable {font-size:12px;color:#333333;width:100%;border-width: 1px;border-color: #729ea5;border-collapse: collapse;}
@@ -270,206 +269,206 @@ function initData() {
             </table>
             <button>some action</button>
             <button>some other action</button>
-            `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
-        }
-      
-        $('#gene_color_order').append($('<option>', {
-          value: 'Source',
-          text: 'Source'
-        }));
-        for(fn of getFunctionalAnnotations()) {
-          if(!['COG_CATEGORY', 'KEGG_CATEGORY'].includes(fn)) continue; // TODO: support any option
-          $('#gene_color_order').append($('<option>', {
-            value: fn,
-            text: fn
-          }));
-        }
-        color_db = $('#gene_color_order').val();
-        generateColorTable(fn_colors=null, fn_type=color_db);
-      
-        brush.extent([parseInt($('#brush_start').val()),parseInt($('#brush_end').val())]);
-        brush(d3.select(".brush"));
+            `).css({ 'position': 'absolute', 'left': event.e.clientX, 'top': event.e.clientY })
+  }
+
+  $('#gene_color_order').append($('<option>', {
+    value: 'Source',
+    text: 'Source'
+  }));
+  for (fn of getFunctionalAnnotations()) {
+    if (!['COG_CATEGORY', 'KEGG_CATEGORY'].includes(fn)) continue; // TODO: support any option
+    $('#gene_color_order').append($('<option>', {
+      value: fn,
+      text: fn
+    }));
+  }
+  color_db = $('#gene_color_order').val();
+  generateColorTable(fn_colors = null, fn_type = color_db);
+
+  brush.extent([parseInt($('#brush_start').val()), parseInt($('#brush_end').val())]);
+  brush(d3.select(".brush"));
+  updateRenderWindow();
+  draw();
+
+  // panning
+  canvas.on('mouse:down', function (opt) {
+    var evt = opt.e;
+    if (evt.shiftKey === true) {
+      this.isDragging = true;
+      this.selection = false;
+      this.lastPosX = evt.clientX;
+    }
+    this.shades = true;
+    if (opt.target && opt.target.groupID) this.prev = opt.target.left;
+  });
+  canvas.on('mouse:move', function (opt) {
+    if (this.isDragging) {
+      var e = opt.e;
+      var vpt = this.viewportTransform;
+      vpt[4] += e.clientX - this.lastPosX;
+      bindViewportToWindow();
+      this.requestRenderAll();
+      this.lastPosX = e.clientX;
+
+      let [l, r] = getFracForVPT();
+      if (l < renderWindow[0] || r > renderWindow[1]) {
         updateRenderWindow();
         draw();
-      
-        // panning
-        canvas.on('mouse:down', function(opt) {
-          var evt = opt.e;
-          if (evt.shiftKey === true) {
-            this.isDragging = true;
-            this.selection = false;
-            this.lastPosX = evt.clientX;
-          }
-          this.shades = true;
-          if(opt.target && opt.target.groupID) this.prev = opt.target.left;
-        });
-        canvas.on('mouse:move', function(opt) {
-          if (this.isDragging) {
-            var e = opt.e;
-            var vpt = this.viewportTransform;
-            vpt[4] += e.clientX - this.lastPosX;
-            bindViewportToWindow();
-            this.requestRenderAll();
-            this.lastPosX = e.clientX;
-      
-            let [l,r] = getFracForVPT();
-            if(l < renderWindow[0] || r > renderWindow[1]) {
-              updateRenderWindow();
-              draw();
-            }
-          }
-        });
-        canvas.on('mouse:up', function(opt) {
-          this.setViewportTransform(this.viewportTransform);
-          if(this.isDragging) updateScalePos();
-          this.isDragging = false;
-          this.selection = true;
-          if(!this.shades) {
-            // slid a genome
-            this.shades = true;
-            drawTestShades();
-            bindViewportToWindow();
-            updateScalePos(); // adjust scale box to new sequence breadth
-            updateRenderWindow();
-      
-            redrawGenome(opt.target.groupID);
-          }
-        });
-        canvas.on('object:moving', function(opt) {
-          var gid = opt.target ? opt.target.groupID : null;
-          if(gid == null) return;
-      
-          if(opt.target.id == 'genomeLine' || (opt.target.id == 'arrow' && arrowStyle == 3)) canvas.sendBackwards(opt.target);
-          if(this.shades) {
-            clearShades();
-            this.shades = false;
-          }
-      
-          let objs = canvas.getObjects().filter(obj => obj.groupID == gid);
-      
-          var delta = opt.target.left - this.prev;
-          canvas.getObjects().filter(obj => obj.groupID == gid).forEach(o => {
-            if(o !== opt.target) o.left += delta;
-          });
-          xDisps[gid] += delta;
-      
-          this.setViewportTransform(this.viewportTransform);
-          setPercentScale();
-          this.prev = opt.target.left;
-        });
-        canvas.on('mouse:wheel', function(opt) {
-          opt.e.preventDefault();
-          opt.e.stopPropagation();
-      
-          var delta = opt.e.deltaY;
-          let tmp = scaleFactor * (0.999 ** delta);
-          let diff = tmp - scaleFactor;
-          let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-          let [newStart, newEnd] = [Math.floor(start - diff*genomeMax), Math.floor(end + diff*genomeMax)];
-          if(newStart < 0) newStart = 0;
-          if(newEnd > genomeMax) newEnd = genomeMax;
-          if(newEnd - newStart < 50) return;
-      
-          brush.extent([newStart, newEnd]);
-          brush(d3.select(".brush").transition()); // if zoom is slow or choppy, try removing .transition()
-          brush.event(d3.select(".brush"));
-          $('#brush_start').val(newStart);
-          $('#brush_end').val(newEnd);
-        });
-      
-        $('#alignClusterInput').on('keydown', function(e) {
-          if(e.keyCode == 13) { // 13 = enter key
-            alignToCluster($(this).val());
-            $(this).blur();
-          }
-        });
-        $('#panClusterInput').on('keydown', function(e) {
-          if(e.keyCode == 13) { // 13 = enter key
-            viewCluster($(this).val());
-            $(this).blur();
-          }
-        });
-        document.body.addEventListener("keydown", function(ev) {
-          if(ev.which == 83 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // S = 83
-            toggleSettingsPanel();
-          }
-        });
-        $('#genome_spacing').on('keydown', function(e) {
-          if(e.keyCode == 13) { // 13 = enter key
-            setGenomeSpacing($(this).val());
-            $(this).blur();
-          }
-        });
-        $('#gene_label').on('keydown', function(e) {
-          if(e.keyCode == 13) { // 13 = enter key
-            setGeneLabelSize($(this).val());
-            $(this).blur();
-          }
-        });
-        $('#genome_label').on('keydown', function(e) {
-          if(e.keyCode == 13) { // 13 = enter key
-            setGenomeLabelSize($(this).val());
-            $(this).blur();
-          }
-        });
-        $('#genome_scale_interval').on('keydown', function(e) {
-          if(e.keyCode == 13) { // 13 = enter key
-            setScaleInterval($(this).val());
-            $(this).blur();
-          }
-        });
-        $('#gene_color_order').on('change', function() {
-            color_db = $(this).val();
-            generateColorTable(null, color_db); // TODO: include highlight_genes, fn_colors etc from state
-            draw();
-            $(this).blur();
-        });
-        $('#arrow_style').on('change', function() {
-            arrowStyle = parseInt($(this).val());
-            draw();
-            $(this).blur();
-        });
-        $('#gene_text_pos').on('change', function() {
-            geneLabelPos = $(this).val();
-            if(!(geneLabelPos == "inside" && arrowStyle != 3)) draw();
-            $(this).blur();
-        });
-        $('#show_genome_labels_box').on('change', function() {
-          showLabels = !showLabels;
-          xDisplacement = showLabels ? 120 : 0;
-          alignToGC = null;
-          draw();
-        });
-        $('#show_gene_labels_box').on('change', function() {
-          showGeneLabels = !showGeneLabels;
-          draw();
-        });
-        $('#show_dynamic_scale_box').on('change', function() {
-          dynamicScaleInterval = !dynamicScaleInterval;
-        });
-        $('#adl_pts_per_layer').on('change', function() {
-          setPtsPerADL($(this).val());
-          $(this).blur();
-        });
-        $('#brush_start, #brush_end').keydown(function(ev) {
-            if (ev.which == 13) { // enter key
-                let [start, end] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())]
-                                                : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-                let endBound = percentScale ? 1 : genomeMax;
-      
-                if (isNaN(start) || isNaN(end) || start < 0 || start > endBound || end < 0 || end > endBound) {
-                    alert(`Invalid value, value needs to be in range 0-${endBound}.`);
-                    return;
-                }
-      
-                if (start >= end) {
-                    alert('Starting value cannot be greater or equal to the ending value.');
-                    return;
-                }
-      
-                brush.extent([start, end]);
-                brush(d3.select(".brush").transition());
-                brush.event(d3.select(".brush").transition());
-            }
-        });
-      }
\ No newline at end of file
+      }
+    }
+  });
+  canvas.on('mouse:up', function (opt) {
+    this.setViewportTransform(this.viewportTransform);
+    if (this.isDragging) updateScalePos();
+    this.isDragging = false;
+    this.selection = true;
+    if (!this.shades) {
+      // slid a genome
+      this.shades = true;
+      drawTestShades();
+      bindViewportToWindow();
+      updateScalePos(); // adjust scale box to new sequence breadth
+      updateRenderWindow();
+
+      redrawGenome(opt.target.groupID);
+    }
+  });
+  canvas.on('object:moving', function (opt) {
+    var gid = opt.target ? opt.target.groupID : null;
+    if (gid == null) return;
+
+    if (opt.target.id == 'genomeLine' || (opt.target.id == 'arrow' && arrowStyle == 3)) canvas.sendBackwards(opt.target);
+    if (this.shades) {
+      clearShades();
+      this.shades = false;
+    }
+
+    let objs = canvas.getObjects().filter(obj => obj.groupID == gid);
+
+    var delta = opt.target.left - this.prev;
+    canvas.getObjects().filter(obj => obj.groupID == gid).forEach(o => {
+      if (o !== opt.target) o.left += delta;
+    });
+    xDisps[gid] += delta;
+
+    this.setViewportTransform(this.viewportTransform);
+    setPercentScale();
+    this.prev = opt.target.left;
+  });
+  canvas.on('mouse:wheel', function (opt) {
+    opt.e.preventDefault();
+    opt.e.stopPropagation();
+
+    var delta = opt.e.deltaY;
+    let tmp = scaleFactor * (0.999 ** delta);
+    let diff = tmp - scaleFactor;
+    let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+    let [newStart, newEnd] = [Math.floor(start - diff * genomeMax), Math.floor(end + diff * genomeMax)];
+    if (newStart < 0) newStart = 0;
+    if (newEnd > genomeMax) newEnd = genomeMax;
+    if (newEnd - newStart < 50) return;
+
+    brush.extent([newStart, newEnd]);
+    brush(d3.select(".brush").transition()); // if zoom is slow or choppy, try removing .transition()
+    brush.event(d3.select(".brush"));
+    $('#brush_start').val(newStart);
+    $('#brush_end').val(newEnd);
+  });
+
+  $('#alignClusterInput').on('keydown', function (e) {
+    if (e.keyCode == 13) { // 13 = enter key
+      alignToCluster($(this).val());
+      $(this).blur();
+    }
+  });
+  $('#panClusterInput').on('keydown', function (e) {
+    if (e.keyCode == 13) { // 13 = enter key
+      viewCluster($(this).val());
+      $(this).blur();
+    }
+  });
+  document.body.addEventListener("keydown", function (ev) {
+    if (ev.which == 83 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // S = 83
+      toggleSettingsPanel();
+    }
+  });
+  $('#genome_spacing').on('keydown', function (e) {
+    if (e.keyCode == 13) { // 13 = enter key
+      setGenomeSpacing($(this).val());
+      $(this).blur();
+    }
+  });
+  $('#gene_label').on('keydown', function (e) {
+    if (e.keyCode == 13) { // 13 = enter key
+      setGeneLabelSize($(this).val());
+      $(this).blur();
+    }
+  });
+  $('#genome_label').on('keydown', function (e) {
+    if (e.keyCode == 13) { // 13 = enter key
+      setGenomeLabelSize($(this).val());
+      $(this).blur();
+    }
+  });
+  $('#genome_scale_interval').on('keydown', function (e) {
+    if (e.keyCode == 13) { // 13 = enter key
+      setScaleInterval($(this).val());
+      $(this).blur();
+    }
+  });
+  $('#gene_color_order').on('change', function () {
+    color_db = $(this).val();
+    generateColorTable(null, color_db); // TODO: include highlight_genes, fn_colors etc from state
+    draw();
+    $(this).blur();
+  });
+  $('#arrow_style').on('change', function () {
+    arrowStyle = parseInt($(this).val());
+    draw();
+    $(this).blur();
+  });
+  $('#gene_text_pos').on('change', function () {
+    geneLabelPos = $(this).val();
+    if (!(geneLabelPos == "inside" && arrowStyle != 3)) draw();
+    $(this).blur();
+  });
+  $('#show_genome_labels_box').on('change', function () {
+    showLabels = !showLabels;
+    xDisplacement = showLabels ? 120 : 0;
+    alignToGC = null;
+    draw();
+  });
+  $('#show_gene_labels_box').on('change', function () {
+    showGeneLabels = !showGeneLabels;
+    draw();
+  });
+  $('#show_dynamic_scale_box').on('change', function () {
+    dynamicScaleInterval = !dynamicScaleInterval;
+  });
+  $('#adl_pts_per_layer').on('change', function () {
+    setPtsPerADL($(this).val());
+    $(this).blur();
+  });
+  $('#brush_start, #brush_end').keydown(function (ev) {
+    if (ev.which == 13) { // enter key
+      let [start, end] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())]
+        : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+      let endBound = percentScale ? 1 : genomeMax;
+
+      if (isNaN(start) || isNaN(end) || start < 0 || start > endBound || end < 0 || end > endBound) {
+        alert(`Invalid value, value needs to be in range 0-${endBound}.`);
+        return;
+      }
+
+      if (start >= end) {
+        alert('Starting value cannot be greater or equal to the ending value.');
+        return;
+      }
+
+      brush.extent([start, end]);
+      brush(d3.select(".brush").transition());
+      brush.event(d3.select(".brush").transition());
+    }
+  });
+}
\ No newline at end of file

From 14dd1ad3796f44f6ae47515b035ebb9bc54c4ecf Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 23 Aug 2021 17:03:56 +0000
Subject: [PATCH 0276/1020] move temp/test items to test.js

---
 anvio/data/interactive/js/genomeview/main.js | 33 ------------------
 anvio/data/interactive/js/genomeview/test.js | 35 +++++++++++++++++++-
 2 files changed, 34 insertions(+), 34 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index ce115a1961..bd82341b8f 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -164,39 +164,6 @@ function processState(stateName, stateData) {
     // set listener for user bookmark selection
     respondToBookmarkSelect()
   }
-
-  function generateMockADL() {
-    for (let i = 0; i < genomeData.genomes.length; i++) { // generate mock additional data layer content
-      let gcContent = []
-      let coverage = []
-      for (let j = 0; j < genomeMax; j++) {
-        gcContent.push(Math.floor(Math.random() * 45))
-        coverage.push(Math.floor(Math.random() * 45))
-      }
-      let genomeLabel = Object.keys(genomeData.genomes[i][1]['contigs']['info'])[0];
-      let additionalDataObject = {
-        'genome': genomeLabel,
-        'coverage': coverage,
-        'coverage-color': 'blue',
-        'gcContent': gcContent,
-        'gcContent-color': 'purple',
-        'ruler': true // TODO: store any genome-specific scale data here
-      }
-      stateData['additional-data-layers'].push(additionalDataObject)
-    }
-  }
-  function generateMockGenomeOrder() {
-    stateData['genome-order-method'] = [{
-      'name': 'cats',
-      'ordering': 'some order'
-    }, {
-      'name': 'dogs',
-      'ordering': 'some other order'
-    }, {
-      'name': 'birds',
-      'ordering': 'beaks to tails'
-    }]
-  }
 }
 
 function loadAll() {
diff --git a/anvio/data/interactive/js/genomeview/test.js b/anvio/data/interactive/js/genomeview/test.js
index 0a8bf699aa..0d8d022fe2 100644
--- a/anvio/data/interactive/js/genomeview/test.js
+++ b/anvio/data/interactive/js/genomeview/test.js
@@ -24,5 +24,38 @@
  */
 
 function drawTestShades() {
-  shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"});
+  shadeGeneClusters(["GC_00000034", "GC_00000097", "GC_00000002"], { "GC_00000034": "green", "GC_00000097": "red", "GC_00000002": "purple" });
+}
+
+function generateMockADL() {
+  for (let i = 0; i < genomeData.genomes.length; i++) { // generate mock additional data layer content
+    let gcContent = []
+    let coverage = []
+    for (let j = 0; j < genomeMax; j++) {
+      gcContent.push(Math.floor(Math.random() * 45))
+      coverage.push(Math.floor(Math.random() * 45))
+    }
+    let genomeLabel = Object.keys(genomeData.genomes[i][1]['contigs']['info'])[0];
+    let additionalDataObject = {
+      'genome': genomeLabel,
+      'coverage': coverage,
+      'coverage-color': 'blue',
+      'gcContent': gcContent,
+      'gcContent-color': 'purple',
+      'ruler': true // TODO: store any genome-specific scale data here
+    }
+    stateData['additional-data-layers'].push(additionalDataObject)
+  }
+}
+function generateMockGenomeOrder() {
+  stateData['genome-order-method'] = [{
+    'name': 'cats',
+    'ordering': 'some order'
+  }, {
+    'name': 'dogs',
+    'ordering': 'some other order'
+  }, {
+    'name': 'birds',
+    'ordering': 'beaks to tails'
+  }]
 }
\ No newline at end of file

From 714c04dad6cef3cfdbb2686290323e909bd391a0 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 23 Aug 2021 17:12:03 +0000
Subject: [PATCH 0277/1020] filename change to reflect broader application

---
 anvio/data/interactive/genomeview.html        |  2 +-
 .../interactive/js/genomeview/navigation.js   | 24 +++++++++++++++++++
 2 files changed, 25 insertions(+), 1 deletion(-)
 create mode 100644 anvio/data/interactive/js/genomeview/navigation.js

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index d1e6092169..53011275a0 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -28,7 +28,7 @@
         <script type="text/javascript" src="./js/genomeview.js"></script>
         <script type="text/javascript" src="./js/genomeview/main.js"></script>
         <script type="text/javascript" src="./js/genomeview/drawer.js"></script>
-        <script type="text/javascript" src="./js/genomeview/scale.js"></script>
+        <script type="text/javascript" src="./js/genomeview/navigation.js"></script>
         <script type="text/javascript" src="./js/genomeview/test.js"></script>
         <script type="text/javascript" src="./js/genomeview/ui.js"></script>
         <script type="text/javascript" src="./js/genomeview/utils.js"></script>
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
new file mode 100644
index 0000000000..83ba605e83
--- /dev/null
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -0,0 +1,24 @@
+/**
+ * Javascript library for anvi'o genome view
+ *
+ *  Authors: Isaac Fink <iafink@uchicago.edu>
+ *           Matthew Klein <mtt.l.kln@gmail.com>
+ *           A. Murat Eren <a.murat.eren@gmail.com>
+ *
+ * Copyright 2021, The anvi'o project (http://anvio.org)
+ *
+ * Anvi'o is a free software. You can redistribute this program
+ * and/or modify it under the terms of the GNU General Public
+ * License as published by the Free Software Foundation, either
+ * version 3 of the License, or (at your option) any later version.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
+ *
+ * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
+ */
+
+/**
+ * File Overview : This file contains code related to the functionality of genomeview's scale element and other general navigation items. 
+ * Scale is great! Scale is dynamic! Scale is responsive. 
+ */
\ No newline at end of file

From a31abc952aabe552710bf240d512238c7491c12b Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 23 Aug 2021 17:12:21 +0000
Subject: [PATCH 0278/1020] deprecated

---
 anvio/data/interactive/js/genomeview/scale.js | 25 -------------------
 1 file changed, 25 deletions(-)
 delete mode 100644 anvio/data/interactive/js/genomeview/scale.js

diff --git a/anvio/data/interactive/js/genomeview/scale.js b/anvio/data/interactive/js/genomeview/scale.js
deleted file mode 100644
index 34ab481a18..0000000000
--- a/anvio/data/interactive/js/genomeview/scale.js
+++ /dev/null
@@ -1,25 +0,0 @@
-/**
- * Javascript library for anvi'o genome view
- *
- *  Authors: Isaac Fink <iafink@uchicago.edu>
- *           Matthew Klein <mtt.l.kln@gmail.com>
- *           A. Murat Eren <a.murat.eren@gmail.com>
- *
- * Copyright 2021, The anvi'o project (http://anvio.org)
- *
- * Anvi'o is a free software. You can redistribute this program
- * and/or modify it under the terms of the GNU General Public
- * License as published by the Free Software Foundation, either
- * version 3 of the License, or (at your option) any later version.
- *
- * You should have received a copy of the GNU General Public License
- * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
- *
- * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
- */
-
-/**
- * File Overview : 
- * 
- * 
- */
\ No newline at end of file

From 8ef58eaa3b615283e92d5ac47f1d6ba79958087b Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 23 Aug 2021 17:13:17 +0000
Subject: [PATCH 0279/1020] migrating navigation items

---
 .../interactive/js/genomeview/navigation.js   | 39 ++++++++++++++++++-
 1 file changed, 38 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 83ba605e83..601f6b0a1b 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -21,4 +21,41 @@
 /**
  * File Overview : This file contains code related to the functionality of genomeview's scale element and other general navigation items. 
  * Scale is great! Scale is dynamic! Scale is responsive. 
- */
\ No newline at end of file
+ */
+
+ function zoomIn() {
+    let start = parseInt($('#brush_start').val()), end = parseInt($('#brush_end').val());
+    let newStart, newEnd;
+  
+    let len = end - start;
+    if(len > 4*genomeMax/50) {
+      newStart = Math.floor(start + genomeMax/50), newEnd = Math.floor(end - genomeMax/50);
+    } else {
+      if(len < 50) return;
+      newStart = Math.floor(start + len/4);
+      newEnd = Math.floor(end - len/4);
+      if(newEnd - newStart <= 0) return;
+    }
+  
+    brush.extent([newStart, newEnd]);
+    brush(d3.select(".brush").transition());
+    brush.event(d3.select(".brush").transition());
+  }
+  
+  function zoomOut() {
+    let start = parseInt($('#brush_start').val()), end = parseInt($('#brush_end').val());
+  
+    let newStart = start - genomeMax/50, newEnd = end + genomeMax/50;
+    if(newStart == 0 && newEnd == genomeMax) { // for extra-zoomed-out view
+      scaleFactor = 0.01;
+      if(dynamicScaleInterval) adjustScaleInterval();
+    draw();
+      return;
+    }
+    if(newStart < 0) newStart = 0;
+    if(newEnd > genomeMax) newEnd = genomeMax;
+  
+    brush.extent([newStart, newEnd]);
+    brush(d3.select(".brush").transition());
+    brush.event(d3.select(".brush").transition());
+  }
\ No newline at end of file

From 98d7a2b32b932ead5601cd91d5cf5d51e2d26c63 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 23 Aug 2021 17:17:32 +0000
Subject: [PATCH 0280/1020] migrate

---
 .../interactive/js/genomeview/navigation.js   | 51 +++++++++++++++++++
 1 file changed, 51 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 601f6b0a1b..e9b63346fb 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -58,4 +58,55 @@
     brush.extent([newStart, newEnd]);
     brush(d3.select(".brush").transition());
     brush.event(d3.select(".brush").transition());
+  }
+
+  function setPtsPerADL(newResolution) {
+    if(isNaN(newResolution)) return;
+    newResolution = parseInt(newResolution);
+    if(newResolution < 0 || newResolution > genomeMax) {
+      alert(`Invalid value, genome spacing must be in range 0-${genomeMax}.`);
+      return;
+    }
+    adlPtsPerLayer = newResolution;
+    draw();
+  }
+  
+  function showAllADLPts() {
+    setPtsPerADL(genomeMax);
+    $('#showAllADLPtsBtn').blur();
+  }
+  
+  function alignRulers() {
+    for(genome of genomeData.genomes) {
+      xDisps[genome[0]] = xDisplacement;
+    }
+    percentScale = false;
+    drawScale();
+    bindViewportToWindow();
+    updateScalePos();
+    updateRenderWindow();
+    draw();
+    $('#alignRulerBtn').blur();
+  }
+  
+  function setGenomeSpacing(newSpacing) {
+    if(isNaN(newSpacing)) return;
+    newSpacing = parseInt(newSpacing);
+    if(newSpacing < 0 || newSpacing > 1000) {
+      alert(`Invalid value, genome spacing must be in range 0-1000.`);
+      return;
+    }
+    spacing = newSpacing;
+    draw();
+  }
+  
+  function setScaleInterval(newScale) {
+    if(isNaN(newScale)) return;
+    newScale = parseInt(newScale);
+    if(newScale < 50) {
+      alert(`Invalid value, scale interval must be >=50.`);
+      return;
+    }
+    scaleInterval = newScale;
+    draw();
   }
\ No newline at end of file

From 7760a99df9b6ebc81db3386401185b6a9e77da45 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 25 Aug 2021 15:01:44 +0000
Subject: [PATCH 0281/1020] migrate additional navigation + ui elements

---
 .../interactive/js/genomeview/navigation.js   | 159 +++++++++++++++++-
 anvio/data/interactive/js/genomeview/ui.js    |  24 +++
 2 files changed, 182 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index e9b63346fb..5bf9cfdb5b 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -109,4 +109,161 @@
     }
     scaleInterval = newScale;
     draw();
-  }
\ No newline at end of file
+  }
+
+  /*
+ *  @returns [start, stop] nt range for the current viewport and scaleFactor
+ */
+function getNTRangeForVPT() {
+  let vpt = canvas.viewportTransform;
+  let window_left = Math.floor((-1*vpt[4]-xDisplacement)/scaleFactor);
+  let window_right = Math.floor(window_left + canvas.getWidth()/scaleFactor);
+  // if window is out of bounds, shift to be in bounds
+  if(window_left < 0) {
+    window_right -= window_left;
+    window_left = 0;
+  }
+  if(window_right > genomeMax) {
+    window_left -= (window_right - genomeMax);
+    window_right = genomeMax;
+  }
+  return [window_left, window_right];
+}
+
+/*
+ *  @returns [start, stop] proportional (0-1) range, used with scale for non-aligned genomes
+ */
+function getFracForVPT() {
+  let resolution = 4; // number of decimals to show
+  let [x1, x2] = calcXBounds();
+  let window_left = Math.round(10**resolution * (-1*canvas.viewportTransform[4] - x1) / (x2 - x1)) / 10**resolution;
+  let window_right = Math.round(10**resolution * (window_left + (canvas.getWidth()) / (x2 - x1))) / 10**resolution;
+  // if window is out of bounds, shift to be in bounds
+  if(window_left < 0) {
+    window_right -= window_left;
+    window_left = 0;
+  }
+  if(window_right > 1) {
+    window_left -= (window_right - 1);
+    window_right = 1;
+  }
+  return [window_left, window_right];
+}
+
+/*
+ *  @returns range of renderWindow x-positions for a given proportional range
+ */
+function getRenderXRangeForFrac() {
+  if(!percentScale) return null;
+  let [l,r] = calcXBounds();
+  let [x1, x2] = renderWindow.map(x => l+x*(r-l));
+  return [x1, x2];
+}
+
+function getRenderNTRange(genomeID) {
+  if(!percentScale) return renderWindow;
+  let [l,r] = calcXBounds();
+  let [start, end] = getRenderXRangeForFrac().map(x => (x-xDisps[genomeID])/scaleFactor);
+  return [clamp(start,0,genomeMax), clamp(end,0,genomeMax)];
+}
+
+/*
+ *  Resets viewport if outside bounds of the view window, with padding on each end
+ */
+function bindViewportToWindow() {
+  let vpt = canvas.viewportTransform;
+  let [l,r] = calcXBounds();
+  if(vpt[4] > 250 - l) {
+    vpt[4] = 250 - l;
+  } else if(vpt[4] < canvas.getWidth() - r - 125) {
+    vpt[4] = canvas.getWidth() - r - 125;
+  }
+}
+
+/*
+ *  @returns array [min, max] where
+ *    min = x-start of the leftmost genome, max = x-end of the rightmost genome
+ */
+function calcXBounds() {
+  let min = 9*(10**9), max = -9*(10**9);
+  for(let g in xDisps) {
+    if(xDisps[g] > max) max = xDisps[g];
+    if(xDisps[g] < min) min = xDisps[g];
+  }
+  return [min, max + scaleFactor*genomeMax];
+}
+
+/*
+ *  Replaces nt scale with a 0-1 proportional scale
+ */
+function setPercentScale() {
+  percentScale = true;
+  drawScale();
+}
+
+function drawScale() {
+  let scaleWidth = canvas.getWidth();
+  let scaleHeight = 100;
+  let domain = percentScale ? [0,1] : [0,genomeMax];
+  let xScale = d3.scale.linear().range([0, scaleWidth]).domain(domain);
+  let scaleAxis = d3.svg.axis()
+              .scale(xScale)
+              .tickSize(scaleHeight);
+  let scaleArea = d3.svg.area()
+              .interpolate("monotone")
+              .x(function(d) { return xScale(d); })
+              .y0(scaleHeight)
+              .y1(0);
+  brush = d3.svg.brush()
+              .x(xScale)
+              .on("brushend", onBrush);
+
+  $('#scaleSvg').empty();
+  let scaleBox = d3.select("#scaleSvg").append("g")
+              .attr("id", "scaleBox")
+              .attr("class","scale")
+              .attr("y", 230)
+              .attr("transform", percentScale ? "translate(10,0)" : "translate(5,0)");
+
+  scaleBox.append("g")
+              .attr("id", "scaleMarkers")
+              .attr("class", "x axis top noselect")
+              .attr("transform", "translate(0,0)")
+              .call(scaleAxis);
+
+  scaleBox.append("g")
+              .attr("class", "x brush")
+              .call(brush)
+              .selectAll("rect")
+              .attr("y", 0)
+              .attr("height", scaleHeight);
+
+  $("#scaleSvg").attr("width", percentScale ? scaleWidth + 20 : scaleWidth + 10);
+
+  function onBrush(){
+      var b = brush.empty() ? xScale.domain() : brush.extent();
+
+      if (brush.empty()) {
+          $('.btn-selection-sequence').addClass('disabled').prop('disabled', true);
+      } else {
+          $('.btn-selection-sequence').removeClass('disabled').prop('disabled', false);
+      }
+
+      if(!percentScale) b = [Math.floor(b[0]), Math.floor(b[1])];
+
+      $('#brush_start').val(b[0]);
+      $('#brush_end').val(b[1]);
+
+      let ntsToShow = b[1] - b[0];
+      scaleFactor = percentScale ? canvas.getWidth()/(ntsToShow*genomeMax) : canvas.getWidth()/ntsToShow;
+      updateRenderWindow();
+
+      if(dynamicScaleInterval) adjustScaleInterval();
+
+      draw();
+      let moveToX = percentScale ? getRenderXRangeForFrac()[0] : xDisplacement+scaleFactor*b[0];
+      canvas.absolutePan({x: moveToX, y: 0});
+
+      // TODO: restrict min view to 300 NTs? (or e.g. scaleFactor <= 4)
+  }
+}
\ No newline at end of file
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index b84513ada5..e0edd84a32 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -163,4 +163,28 @@ function respondToBookmarkSelect(){
     let selectedBookmark = stateData['display']['bookmarks'].find(bookmark => bookmark.start == start && bookmark.stop == stop)
     $('#bookmark-description').text(selectedBookmark['description'])
   })
+}
+
+/*
+ *  respond to ui, redraw with updated group layer order
+ */
+function changeGroupLayersOrder(updatedOrder){
+  stateData['group-layer-order'] = updatedOrder
+  draw()
+}
+
+/*
+ *  respond to ui, redraw with updated genome group order
+ */
+function changeGenomeOrder(updatedOrder){
+  let newGenomeOrder = []
+  updatedOrder.map(label => {
+    genomeData.genomes.map(genome => {
+        if(label == Object.keys(genome[1]['contigs']['info'])[0]){ // matching label text to first contig name of each genome
+          newGenomeOrder.push(genome)
+        }
+    })
+  })
+  genomeData.genomes = newGenomeOrder
+  draw()
 }
\ No newline at end of file

From e210f658595cf52d8980e8964e2c744d46d25464 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 25 Aug 2021 15:03:24 +0000
Subject: [PATCH 0282/1020] moved to navigation

---
 anvio/data/interactive/js/genomeview/utils.js | 78 -------------------
 1 file changed, 78 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 3f18df25ff..f855ad3f0d 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -82,84 +82,6 @@ function getGenesOfGC(genomeID, gc) {
   return targetGenes.length > 0 ? targetGenes : null;
 }
 
-/*
- *  @returns [start, stop] nt range for the current viewport and scaleFactor
- */
-function getNTRangeForVPT() {
-  let vpt = canvas.viewportTransform;
-  let window_left = Math.floor((-1*vpt[4]-xDisplacement)/scaleFactor);
-  let window_right = Math.floor(window_left + canvas.getWidth()/scaleFactor);
-  // if window is out of bounds, shift to be in bounds
-  if(window_left < 0) {
-    window_right -= window_left;
-    window_left = 0;
-  }
-  if(window_right > genomeMax) {
-    window_left -= (window_right - genomeMax);
-    window_right = genomeMax;
-  }
-  return [window_left, window_right];
-}
-
-/*
- *  @returns [start, stop] proportional (0-1) range, used with scale for non-aligned genomes
- */
-function getFracForVPT() {
-  let resolution = 4; // number of decimals to show
-  let [x1, x2] = calcXBounds();
-  let window_left = Math.round(10**resolution * (-1*canvas.viewportTransform[4] - x1) / (x2 - x1)) / 10**resolution;
-  let window_right = Math.round(10**resolution * (window_left + (canvas.getWidth()) / (x2 - x1))) / 10**resolution;
-  // if window is out of bounds, shift to be in bounds
-  if(window_left < 0) {
-    window_right -= window_left;
-    window_left = 0;
-  }
-  if(window_right > 1) {
-    window_left -= (window_right - 1);
-    window_right = 1;
-  }
-  return [window_left, window_right];
-}
-
-/*
- *  @returns range of renderWindow x-positions for a given proportional range
- */
-function getRenderXRangeForFrac() {
-  if(!percentScale) return null;
-  let [l,r] = calcXBounds();
-  let [x1, x2] = renderWindow.map(x => l+x*(r-l));
-  return [x1, x2];
-}
-
-function getRenderNTRange(genomeID) {
-  if(!percentScale) return renderWindow;
-  let [l,r] = calcXBounds();
-  let [start, end] = getRenderXRangeForFrac().map(x => (x-xDisps[genomeID])/scaleFactor);
-  return [clamp(start,0,genomeMax), clamp(end,0,genomeMax)];
-}
-
-/*
- *  Resets viewport if outside bounds of the view window, with padding on each end
- */
-function bindViewportToWindow() {
-  let vpt = canvas.viewportTransform;
-  let [l,r] = calcXBounds();
-  if(vpt[4] > 250 - l) {
-    vpt[4] = 250 - l;
-  } else if(vpt[4] < canvas.getWidth() - r - 125) {
-    vpt[4] = canvas.getWidth() - r - 125;
-  }
-}
-
-function calcXBounds() {
-  let min = 9*(10**9), max = -9*(10**9);
-  for(let g in xDisps) {
-    if(xDisps[g] > max) max = xDisps[g];
-    if(xDisps[g] < min) min = xDisps[g];
-  }
-  return [min, max + scaleFactor*genomeMax];
-}
-
 /*
  *  Show/hide gene labels to show the max amount possible s.t. none overlap.
  */

From fa115d0096e033037951d6e04170bcd634480d37 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 25 Aug 2021 15:13:58 +0000
Subject: [PATCH 0283/1020] navigation migration

---
 .../interactive/js/genomeview/navigation.js   | 35 +++++++++++++++++++
 1 file changed, 35 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 5bf9cfdb5b..c2ebe192fe 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -266,4 +266,39 @@ function drawScale() {
 
       // TODO: restrict min view to 300 NTs? (or e.g. scaleFactor <= 4)
   }
+}
+
+/*
+ *  Dynamically set scale tick interval based on scaleFactor.
+ */
+function adjustScaleInterval() {
+  let val = Math.floor(100/scaleFactor);
+  let roundToDigits = Math.floor(Math.log10(val)) - 1;
+  let newInterval = Math.floor(val/(10**roundToDigits)) * (10**roundToDigits);
+  scaleInterval = newInterval;
+  $('#genome_scale_interval').val(scaleInterval);
+}
+
+/*
+ *  Update scale info to match viewport location.
+ */
+function updateScalePos() {
+  let [newStart, newEnd] = percentScale ? getFracForVPT() : getNTRangeForVPT();
+  brush.extent([newStart, newEnd]);
+  brush(d3.select(".brush").transition());
+  $('#brush_start').val(newStart);
+  $('#brush_end').val(newEnd);
+}
+
+function updateRenderWindow() {
+  if(percentScale) {
+    let resolution = 4; // # decimals to show for renderw window
+    let [start, end] = [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())];
+    let diff = end - start > 0.1 ? Math.round(10**resolution*(end - start) / 2)/10**resolution : 0.05;
+    renderWindow = [clamp(start - diff, 0, 1), clamp(end + diff, 0, 1)];
+  } else {
+    let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+    let diff = end - start > 10000 ? Math.floor((end - start)/2) : 5000;
+    renderWindow = [clamp(start - diff, 0, genomeMax), clamp(end + diff, 0, genomeMax)];
+  }
 }
\ No newline at end of file

From e7f998ab37d4448b2b32d9b70709d21f2523796e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 25 Aug 2021 16:11:09 +0000
Subject: [PATCH 0284/1020] ui migration

---
 anvio/data/interactive/js/genomeview/ui.js | 80 ++++++++++++++++++++++
 1 file changed, 80 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index e0edd84a32..9bc9a47d26 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -187,4 +187,84 @@ function changeGenomeOrder(updatedOrder){
   })
   genomeData.genomes = newGenomeOrder
   draw()
+}
+
+/*
+ *  [TO BE ADDED TO genomeview/UI.js ... OR potentially 'regular' utils.js]
+ *  Generates functional annotation color table for a given color palette.
+ *
+ *  @param fn_colors :       dict matching each category to a hex color code to override defaults
+ *  @param fn_type :         string indicating function category type: currently one of "COG_CATEGORY", "KEGG_CATEGORY", "Source"
+ *  @param highlight_genes : array of format [{genomeID: 'g01', geneID: 3, color: '#FF0000'}, ...] to override other coloring for specific genes
+ *  @param filter_to_split : if true, filters categories to only those shown in the split
+ */
+function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=true) {
+  // TODO: consider call_type? see inspectionalutils.js for how this was dealt with earlier
+
+  let db = getColorDefaults(fn_type ? fn_type : 'Source');
+  if(db == null) return;
+  // Override default values with any values supplied to fn_colors
+  if(fn_colors) db = Object.keys(db).map(cag => Object.keys(fn_colors).includes(cag) ? fn_colors[cag] : db[cag]);
+
+  if(filter_to_split && fn_type != 'Source') {
+    let save = [];
+    for(genome of genomeData.genomes) {
+      for(geneFunctions of Object.entries(genome[1].genes.functions)) {
+        let cag = getCagForType(geneFunctions[1], fn_type);
+        if(cag && !save.includes(cag)) save.push(cag);
+      }
+    }
+    Object.keys(db).forEach((cag, color) => {
+      if(!save.includes(cag)) delete db[cag];
+    });
+  }
+
+  $('#tbody_function_colors').empty();
+  Object.keys(db).forEach(category => appendColorRow(getCagName(category, fn_type), category, db[category]) );
+
+  $('.colorpicker').colpick({
+      layout: 'hex',
+      submit: 0,
+      colorScheme: 'light',
+      onChange: function(hsb, hex, rgb, el, bySetColor) {
+          $(el).css('background-color', '#' + hex);
+          $(el).attr('color', '#' + hex);
+          // TODO: save new color once state is implemented
+          //state[$('#gene_color_order').val().toLowerCase() + '-colors'][el.id.substring(7)] = '#' + hex;
+          if (!bySetColor) $(el).val(hex);
+      }
+  }).keyup(function() {
+      $(this).colpickSetColor(this.value);
+  });
+
+  if(highlight_genes) {
+    let genomes = Object.entries(genomeData.genomes).map(g => g[1][0]);
+    for(entry of highlight_genes) {
+      let genomeID = entry['genomeID'];
+      let geneID = entry['geneID'];
+      let color = entry['color'];
+
+      if(!genomes.includes(genomeID)) continue;
+
+      let ind = genomeData.genomes.findIndex(g => g[0] == genomeID);
+      let genes = Object.keys(genomeData.genomes[ind][1].genes.gene_calls);
+      if(!(geneID in genes)) continue;
+
+      let label = 'Genome: ' + genomeID + ', Gene: ' + geneID;
+      appendColorRow(label, genomeID + '-' + geneID, color, prepend=true);
+    }
+    $('colorpicker').colpick({
+        layout: 'hex',
+        submit: 0,
+        colorScheme: 'light',
+        onChange: function(hsb, hex, rgb, el, bySetColor) {
+            $(el).css('background-color', '#' + hex);
+            $(el).attr('color', '#' + hex);
+            //state['highlight-genes'][el.id.substring(7)] = '#' + hex;
+            if (!bySetColor) $(el).val(hex);
+        }
+    }).keyup(function() {
+        $(this).colpickSetColor(this.value);
+    });
+  }
 }
\ No newline at end of file

From cdc128717aaa09eaaf8dd7bb55d2cb77a830c745 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 26 Aug 2021 14:11:26 +0000
Subject: [PATCH 0285/1020] refactor draw functions => class methods

---
 .../data/interactive/js/genomeview/drawer.js  | 30 +++++++++----------
 1 file changed, 15 insertions(+), 15 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index fc12167275..bf3f23412e 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -22,26 +22,26 @@
  * File Overview : The Drawer class defined here is responsible for rendering genomic + associated data passed from main.js to an interactive 
  * browser canvas. This is where most of the heavy lifting should happen, and where most of our Fabric.js library interactions should occur. 
  */
-var gDrawer = function(settings) {
+var GenomeDrawer = function(settings) {
   this.settings = settings;
 };
 
-gDrawer.prototype.draw = function(){
+GenomeDrawer.prototype.draw = function(){
   canvas.clear()
   labelSpacing = 30 // reset to default value upon each draw() call
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
 
   genomeData['genomes'].map((genome, idx) => {
-    addGenome(idx)
-    addLayers(idx)
+    this.addGenome(idx)
+    this.addLayers(idx)
     labelSpacing += 30
   })
 
-  checkGeneLabels();
-  drawTestShades();
+  this.checkGeneLabels();
+  this.drawTestShades();
 }
 
-gDrawer.prototype.addGenome = function(orderIndex){
+GenomeDrawer.prototype.addGenome = function(orderIndex){
   let genome = genomeData.genomes[orderIndex];
   let gene_list = genome[1].genes.gene_calls;
   let genomeLabel = gene_list[0].contig;
@@ -113,7 +113,7 @@ gDrawer.prototype.addGenome = function(orderIndex){
 /*
  *  For each genome group, iterate additional layers beyond genome and render where appropriate
  */
-gDrawer.prototype.addLayers = function(orderIndex){
+GenomeDrawer.prototype.addLayers = function(orderIndex){
   yOffset = orderIndex * spacing;
   let genomeID = genomeData.genomes[orderIndex][0];
   let genome = genomeData.genomes[orderIndex][1];
@@ -140,7 +140,7 @@ gDrawer.prototype.addLayers = function(orderIndex){
 /*
  *  Process to generate numerical ADL for genome groups (ie Coverage, GC Content )
  */
-gDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor, orderIndex){
+GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor, orderIndex){
   let maxGCValue = 0
     let startingTop = marginTop + yOffset + layerPos
     let startingLeft = xDisps[genomeID]
@@ -183,7 +183,7 @@ gDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genomeID,
 /*
  *  Generate individual genome group rulers
  */
-gDrawer.prototype.buildGroupRulerLayer = function(){
+GenomeDrawer.prototype.buildGroupRulerLayer = function(){
   let startingTop = marginTop + yOffset + layerPos
   let startingLeft = xDisps[genomeID]
   let layerHeight = spacing / maxGroupSize
@@ -229,7 +229,7 @@ gDrawer.prototype.buildGroupRulerLayer = function(){
 /*
  *  adds an alternating shade to each genome group for easier visual distinction amongst adjacent groups
  */
-gDrawer.prototype.addBackgroundShade = function(top, left, width, height, orderIndex){
+GenomeDrawer.prototype.addBackgroundShade = function(top, left, width, height, orderIndex){
   let backgroundShade;
   orderIndex % 2 == 0 ? backgroundShade = '#b8b8b8' : backgroundShade = '#f5f5f5'
 
@@ -247,7 +247,7 @@ gDrawer.prototype.addBackgroundShade = function(top, left, width, height, orderI
   canvas.sendToBack(background)
 }
 
-gDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
+GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
   let ind = genomeData.genomes.findIndex(g => g[0] == genomeID);
   let functions = genomeData.genomes[ind][1].genes.functions[geneID];
 
@@ -324,7 +324,7 @@ gDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
  *  @param geneClusters : array of GC IDs to be shaded
  *  @param colors       : dict defining color of each shade, in the form {geneClusterID : hexColor}
  */
-gDrawer.prototype.shadeGeneClusters = function(geneClusters, colors){
+GenomeDrawer.prototype.shadeGeneClusters = function(geneClusters, colors){
   if(!genomeData.gene_associations["anvio-pangenome"]) return;
 
   let y = marginTop;
@@ -366,7 +366,7 @@ gDrawer.prototype.shadeGeneClusters = function(geneClusters, colors){
   }
 }
 
-gDrawer.prototype.glowGenes = function(geneParams){
+GenomeDrawer.prototype.glowGenes = function(geneParams){
    // convert geneParams format (1) to format (2)
    if(Array.isArray(geneParams[0].geneID)) {
     let newParams = [];
@@ -396,6 +396,6 @@ gDrawer.prototype.glowGenes = function(geneParams){
 /*
  *  Clear all gene links from the canvas.
  */
-gDrawer.prototype.clearShades = function(){
+GenomeDrawer.prototype.clearShades = function(){
   canvas.getObjects().filter(obj => obj.id == 'link').forEach((l) => { canvas.remove(l) });
 }
\ No newline at end of file

From 52a545a01d399bc4950f97667edc13b348c7a2f2 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 26 Aug 2021 14:13:59 +0000
Subject: [PATCH 0286/1020] more drawer class refactor

---
 anvio/data/interactive/js/genomeview/drawer.js | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index bf3f23412e..9e8592fa46 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -69,7 +69,7 @@ GenomeDrawer.prototype.addGenome = function(orderIndex){
         hasBorders: false,
         lockScaling: true});
   canvas.add(lineObj);
-  addBackgroundShade(y, start, genomeMax, layerHeight, orderIndex)
+  this.addBackgroundShade(y, start, genomeMax, layerHeight, orderIndex)
 
   for(let geneID in gene_list) {
     let gene = gene_list[geneID];
@@ -126,13 +126,13 @@ GenomeDrawer.prototype.addLayers = function(orderIndex){
     let layerPos = [spacing / maxGroupSize] * idx
 
     if(layer == 'Ruler' && additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
-      buildGroupRulerLayer(genomeID, layerPos, orderIndex)
+      this.buildGroupRulerLayer(genomeID, layerPos, orderIndex)
     }
     if(layer == 'Coverage' && additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
-      buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', orderIndex)
+      this.buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', orderIndex)
     }
     if(layer == 'GC_Content' && additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
-      buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', orderIndex)
+      this.buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', orderIndex)
     }
   })
 }
@@ -177,7 +177,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genom
       canvas.bringToFront(graphObj)
       pathDirective = []
     }
-    addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
+    this.addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
 }
 
 /*
@@ -223,7 +223,7 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function(){
       ruler.addWithUpdate();
       canvas.add(ruler);
   }
-  addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
+  this.addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
 }
 
 /*

From 65b8102f5a5289da427a44cab69add3001ad0c72 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 Aug 2021 14:50:00 +0000
Subject: [PATCH 0287/1020] event listeners moved to own function, called on
 document.ready

---
 anvio/data/interactive/js/genomeview/main.js | 209 +-----------------
 anvio/data/interactive/js/genomeview/ui.js   | 210 +++++++++++++++++++
 2 files changed, 211 insertions(+), 208 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index bd82341b8f..b1f7d969f1 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -24,6 +24,7 @@
  */
 
 $(document).ready(function () {
+  setEventListeners()
   initData();
   // loadState();
   processState('default', stateData) // lifted here until loadState is hooked in from backend
@@ -182,33 +183,6 @@ function loadAll() {
 
   drawScale();
 
-  $('#brush_start').val(0);
-  $('#brush_end').val(Math.floor(canvas.getWidth()));
-
-  $('#tooltip-body').hide() // set initual tooltip hide value
-  $('#show_genome_labels_box').attr("checked", showLabels);
-  $('#show_gene_labels_box').attr("checked", showGeneLabels);
-  $('#show_dynamic_scale_box').attr("checked", dynamicScaleInterval);
-
-  // can either set arrow click listener on the canvas to check for all arrows, or when arrow is created.
-
-  // disable group selection
-  canvas.on('selection:created', (e) => {
-    if (e.target.type === 'activeSelection') {
-      canvas.discardActiveObject();
-    }
-  })
-
-  canvas.on('mouse:over', (event) => {
-    if (event.target && event.target.id === 'arrow') {
-      showToolTip(event)
-    }
-  })
-
-  canvas.on('mouse:out', (event) => {
-    $('#tooltip-body').html('').hide()
-  })
-
   if (showGeneLabels && arrowStyle != 3) {
     marginTop = 60;
     spacing = 200; // TODO maybe we refactor this out into a setSpacing() method for clarity?
@@ -257,185 +231,4 @@ function loadAll() {
   brush(d3.select(".brush"));
   updateRenderWindow();
   draw();
-
-  // panning
-  canvas.on('mouse:down', function (opt) {
-    var evt = opt.e;
-    if (evt.shiftKey === true) {
-      this.isDragging = true;
-      this.selection = false;
-      this.lastPosX = evt.clientX;
-    }
-    this.shades = true;
-    if (opt.target && opt.target.groupID) this.prev = opt.target.left;
-  });
-  canvas.on('mouse:move', function (opt) {
-    if (this.isDragging) {
-      var e = opt.e;
-      var vpt = this.viewportTransform;
-      vpt[4] += e.clientX - this.lastPosX;
-      bindViewportToWindow();
-      this.requestRenderAll();
-      this.lastPosX = e.clientX;
-
-      let [l, r] = getFracForVPT();
-      if (l < renderWindow[0] || r > renderWindow[1]) {
-        updateRenderWindow();
-        draw();
-      }
-    }
-  });
-  canvas.on('mouse:up', function (opt) {
-    this.setViewportTransform(this.viewportTransform);
-    if (this.isDragging) updateScalePos();
-    this.isDragging = false;
-    this.selection = true;
-    if (!this.shades) {
-      // slid a genome
-      this.shades = true;
-      drawTestShades();
-      bindViewportToWindow();
-      updateScalePos(); // adjust scale box to new sequence breadth
-      updateRenderWindow();
-
-      redrawGenome(opt.target.groupID);
-    }
-  });
-  canvas.on('object:moving', function (opt) {
-    var gid = opt.target ? opt.target.groupID : null;
-    if (gid == null) return;
-
-    if (opt.target.id == 'genomeLine' || (opt.target.id == 'arrow' && arrowStyle == 3)) canvas.sendBackwards(opt.target);
-    if (this.shades) {
-      clearShades();
-      this.shades = false;
-    }
-
-    let objs = canvas.getObjects().filter(obj => obj.groupID == gid);
-
-    var delta = opt.target.left - this.prev;
-    canvas.getObjects().filter(obj => obj.groupID == gid).forEach(o => {
-      if (o !== opt.target) o.left += delta;
-    });
-    xDisps[gid] += delta;
-
-    this.setViewportTransform(this.viewportTransform);
-    setPercentScale();
-    this.prev = opt.target.left;
-  });
-  canvas.on('mouse:wheel', function (opt) {
-    opt.e.preventDefault();
-    opt.e.stopPropagation();
-
-    var delta = opt.e.deltaY;
-    let tmp = scaleFactor * (0.999 ** delta);
-    let diff = tmp - scaleFactor;
-    let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-    let [newStart, newEnd] = [Math.floor(start - diff * genomeMax), Math.floor(end + diff * genomeMax)];
-    if (newStart < 0) newStart = 0;
-    if (newEnd > genomeMax) newEnd = genomeMax;
-    if (newEnd - newStart < 50) return;
-
-    brush.extent([newStart, newEnd]);
-    brush(d3.select(".brush").transition()); // if zoom is slow or choppy, try removing .transition()
-    brush.event(d3.select(".brush"));
-    $('#brush_start').val(newStart);
-    $('#brush_end').val(newEnd);
-  });
-
-  $('#alignClusterInput').on('keydown', function (e) {
-    if (e.keyCode == 13) { // 13 = enter key
-      alignToCluster($(this).val());
-      $(this).blur();
-    }
-  });
-  $('#panClusterInput').on('keydown', function (e) {
-    if (e.keyCode == 13) { // 13 = enter key
-      viewCluster($(this).val());
-      $(this).blur();
-    }
-  });
-  document.body.addEventListener("keydown", function (ev) {
-    if (ev.which == 83 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // S = 83
-      toggleSettingsPanel();
-    }
-  });
-  $('#genome_spacing').on('keydown', function (e) {
-    if (e.keyCode == 13) { // 13 = enter key
-      setGenomeSpacing($(this).val());
-      $(this).blur();
-    }
-  });
-  $('#gene_label').on('keydown', function (e) {
-    if (e.keyCode == 13) { // 13 = enter key
-      setGeneLabelSize($(this).val());
-      $(this).blur();
-    }
-  });
-  $('#genome_label').on('keydown', function (e) {
-    if (e.keyCode == 13) { // 13 = enter key
-      setGenomeLabelSize($(this).val());
-      $(this).blur();
-    }
-  });
-  $('#genome_scale_interval').on('keydown', function (e) {
-    if (e.keyCode == 13) { // 13 = enter key
-      setScaleInterval($(this).val());
-      $(this).blur();
-    }
-  });
-  $('#gene_color_order').on('change', function () {
-    color_db = $(this).val();
-    generateColorTable(null, color_db); // TODO: include highlight_genes, fn_colors etc from state
-    draw();
-    $(this).blur();
-  });
-  $('#arrow_style').on('change', function () {
-    arrowStyle = parseInt($(this).val());
-    draw();
-    $(this).blur();
-  });
-  $('#gene_text_pos').on('change', function () {
-    geneLabelPos = $(this).val();
-    if (!(geneLabelPos == "inside" && arrowStyle != 3)) draw();
-    $(this).blur();
-  });
-  $('#show_genome_labels_box').on('change', function () {
-    showLabels = !showLabels;
-    xDisplacement = showLabels ? 120 : 0;
-    alignToGC = null;
-    draw();
-  });
-  $('#show_gene_labels_box').on('change', function () {
-    showGeneLabels = !showGeneLabels;
-    draw();
-  });
-  $('#show_dynamic_scale_box').on('change', function () {
-    dynamicScaleInterval = !dynamicScaleInterval;
-  });
-  $('#adl_pts_per_layer').on('change', function () {
-    setPtsPerADL($(this).val());
-    $(this).blur();
-  });
-  $('#brush_start, #brush_end').keydown(function (ev) {
-    if (ev.which == 13) { // enter key
-      let [start, end] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())]
-        : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-      let endBound = percentScale ? 1 : genomeMax;
-
-      if (isNaN(start) || isNaN(end) || start < 0 || start > endBound || end < 0 || end > endBound) {
-        alert(`Invalid value, value needs to be in range 0-${endBound}.`);
-        return;
-      }
-
-      if (start >= end) {
-        alert('Starting value cannot be greater or equal to the ending value.');
-        return;
-      }
-
-      brush.extent([start, end]);
-      brush(d3.select(".brush").transition());
-      brush.event(d3.select(".brush").transition());
-    }
-  });
 }
\ No newline at end of file
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 9bc9a47d26..042e61ccb0 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -23,6 +23,216 @@
  * As a general rule, processes that invoke jQuery should probably live here. 
  */
 
+function setEventListeners(){
+  // panning
+  canvas.on('mouse:down', function (opt) {
+    var evt = opt.e;
+    if (evt.shiftKey === true) {
+      this.isDragging = true;
+      this.selection = false;
+      this.lastPosX = evt.clientX;
+    }
+    this.shades = true;
+    if (opt.target && opt.target.groupID) this.prev = opt.target.left;
+  });
+  canvas.on('mouse:move', function (opt) {
+    if (this.isDragging) {
+      var e = opt.e;
+      var vpt = this.viewportTransform;
+      vpt[4] += e.clientX - this.lastPosX;
+      bindViewportToWindow();
+      this.requestRenderAll();
+      this.lastPosX = e.clientX;
+
+      let [l, r] = getFracForVPT();
+      if (l < renderWindow[0] || r > renderWindow[1]) {
+        updateRenderWindow();
+        draw();
+      }
+    }
+  });
+  canvas.on('mouse:up', function (opt) {
+    this.setViewportTransform(this.viewportTransform);
+    if (this.isDragging) updateScalePos();
+    this.isDragging = false;
+    this.selection = true;
+    if (!this.shades) {
+      // slid a genome
+      this.shades = true;
+      drawTestShades();
+      bindViewportToWindow();
+      updateScalePos(); // adjust scale box to new sequence breadth
+      updateRenderWindow();
+
+      redrawGenome(opt.target.groupID);
+    }
+  });
+  canvas.on('object:moving', function (opt) {
+    var gid = opt.target ? opt.target.groupID : null;
+    if (gid == null) return;
+
+    if (opt.target.id == 'genomeLine' || (opt.target.id == 'arrow' && arrowStyle == 3)) canvas.sendBackwards(opt.target);
+    if (this.shades) {
+      clearShades();
+      this.shades = false;
+    }
+
+    let objs = canvas.getObjects().filter(obj => obj.groupID == gid);
+
+    var delta = opt.target.left - this.prev;
+    canvas.getObjects().filter(obj => obj.groupID == gid).forEach(o => {
+      if (o !== opt.target) o.left += delta;
+    });
+    xDisps[gid] += delta;
+
+    this.setViewportTransform(this.viewportTransform);
+    setPercentScale();
+    this.prev = opt.target.left;
+  });
+  canvas.on('mouse:wheel', function (opt) {
+    opt.e.preventDefault();
+    opt.e.stopPropagation();
+
+    var delta = opt.e.deltaY;
+    let tmp = scaleFactor * (0.999 ** delta);
+    let diff = tmp - scaleFactor;
+    let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+    let [newStart, newEnd] = [Math.floor(start - diff * genomeMax), Math.floor(end + diff * genomeMax)];
+    if (newStart < 0) newStart = 0;
+    if (newEnd > genomeMax) newEnd = genomeMax;
+    if (newEnd - newStart < 50) return;
+
+    brush.extent([newStart, newEnd]);
+    brush(d3.select(".brush").transition()); // if zoom is slow or choppy, try removing .transition()
+    brush.event(d3.select(".brush"));
+    $('#brush_start').val(newStart);
+    $('#brush_end').val(newEnd);
+  });
+
+  $('#alignClusterInput').on('keydown', function (e) {
+    if (e.keyCode == 13) { // 13 = enter key
+      alignToCluster($(this).val());
+      $(this).blur();
+    }
+  });
+  $('#panClusterInput').on('keydown', function (e) {
+    if (e.keyCode == 13) { // 13 = enter key
+      viewCluster($(this).val());
+      $(this).blur();
+    }
+  });
+  document.body.addEventListener("keydown", function (ev) {
+    if (ev.which == 83 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // S = 83
+      toggleSettingsPanel();
+    }
+  });
+  $('#genome_spacing').on('keydown', function (e) {
+    if (e.keyCode == 13) { // 13 = enter key
+      setGenomeSpacing($(this).val());
+      $(this).blur();
+    }
+  });
+  $('#gene_label').on('keydown', function (e) {
+    if (e.keyCode == 13) { // 13 = enter key
+      setGeneLabelSize($(this).val());
+      $(this).blur();
+    }
+  });
+  $('#genome_label').on('keydown', function (e) {
+    if (e.keyCode == 13) { // 13 = enter key
+      setGenomeLabelSize($(this).val());
+      $(this).blur();
+    }
+  });
+  $('#genome_scale_interval').on('keydown', function (e) {
+    if (e.keyCode == 13) { // 13 = enter key
+      setScaleInterval($(this).val());
+      $(this).blur();
+    }
+  });
+  $('#gene_color_order').on('change', function () {
+    color_db = $(this).val();
+    generateColorTable(null, color_db); // TODO: include highlight_genes, fn_colors etc from state
+    draw();
+    $(this).blur();
+  });
+  $('#arrow_style').on('change', function () {
+    arrowStyle = parseInt($(this).val());
+    draw();
+    $(this).blur();
+  });
+  $('#gene_text_pos').on('change', function () {
+    geneLabelPos = $(this).val();
+    if (!(geneLabelPos == "inside" && arrowStyle != 3)) draw();
+    $(this).blur();
+  });
+  $('#show_genome_labels_box').on('change', function () {
+    showLabels = !showLabels;
+    xDisplacement = showLabels ? 120 : 0;
+    alignToGC = null;
+    draw();
+  });
+  $('#show_gene_labels_box').on('change', function () {
+    showGeneLabels = !showGeneLabels;
+    draw();
+  });
+  $('#show_dynamic_scale_box').on('change', function () {
+    dynamicScaleInterval = !dynamicScaleInterval;
+  });
+  $('#adl_pts_per_layer').on('change', function () {
+    setPtsPerADL($(this).val());
+    $(this).blur();
+  });
+  $('#brush_start, #brush_end').keydown(function (ev) {
+    if (ev.which == 13) { // enter key
+      let [start, end] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())]
+        : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+      let endBound = percentScale ? 1 : genomeMax;
+
+      if (isNaN(start) || isNaN(end) || start < 0 || start > endBound || end < 0 || end > endBound) {
+        alert(`Invalid value, value needs to be in range 0-${endBound}.`);
+        return;
+      }
+
+      if (start >= end) {
+        alert('Starting value cannot be greater or equal to the ending value.');
+        return;
+      }
+
+      brush.extent([start, end]);
+      brush(d3.select(".brush").transition());
+      brush.event(d3.select(".brush").transition());
+    }
+  });
+
+  $('#brush_start').val(0);
+  $('#brush_end').val(Math.floor(canvas.getWidth()));
+
+  $('#tooltip-body').hide() // set initual tooltip hide value
+  $('#show_genome_labels_box').attr("checked", showLabels);
+  $('#show_gene_labels_box').attr("checked", showGeneLabels);
+  $('#show_dynamic_scale_box').attr("checked", dynamicScaleInterval);
+
+  // can either set arrow click listener on the canvas to check for all arrows, or when arrow is created.
+
+  // disable group selection
+  canvas.on('selection:created', (e) => {
+    if (e.target.type === 'activeSelection') {
+      canvas.discardActiveObject();
+    }
+  })
+
+  canvas.on('mouse:over', (event) => {
+    if (event.target && event.target.id === 'arrow') {
+      showToolTip(event)
+    }
+  })
+
+  canvas.on('mouse:out', (event) => {
+    $('#tooltip-body').html('').hide()
+  })
+}
+
 function showToolTip(event){
   $('#tooltip-body').show().append(`
     <p></p>

From ded34587e196784639d0f9b830dff2967c1e152a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 Aug 2021 14:51:18 +0000
Subject: [PATCH 0288/1020] comment :)

---
 anvio/data/interactive/js/genomeview/ui.js | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 042e61ccb0..3a8693ee24 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -23,6 +23,9 @@
  * As a general rule, processes that invoke jQuery should probably live here. 
  */
 
+/*
+ *  set event listeners for DOM elements, user input, default jquery values
+ */
 function setEventListeners(){
   // panning
   canvas.on('mouse:down', function (opt) {

From f8e31856e338d95f8f9d9a92b5b1ce60d5a0bbac Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 Aug 2021 14:53:58 +0000
Subject: [PATCH 0289/1020] reorganize temp temporary workflow

---
 anvio/data/interactive/js/genomeview/main.js | 39 ++++++++++----------
 1 file changed, 20 insertions(+), 19 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index b1f7d969f1..1d2f555bfb 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -26,8 +26,7 @@
 $(document).ready(function () {
   setEventListeners()
   initData();
-  // loadState();
-  processState('default', stateData) // lifted here until loadState is hooked in from backend
+  loadState();
   loadAll();
 });
 
@@ -50,23 +49,25 @@ function initData() {
 }
 
 function loadState() {
-  $.ajax({
-    type: 'GET',
-    cache: false,
-    url: '/data/genome_view/state/get/' + state_name,
-    success: function (response) {
-      try {
-        // processState(state_name, response[0]); process actual response from backend
-        processState(state_name, mockStateData); // process mock state data
-      } catch (e) {
-        console.error("Exception thrown", e.stack);
-        toastr.error('Failed to parse state data, ' + e);
-        defer.reject();
-        return;
-      }
-      // waitingDialog.hide();
-    }
-  })
+  // $.ajax({
+  //   type: 'GET',
+  //   cache: false,
+  //   url: '/data/genome_view/state/get/' + state_name,
+  //   success: function (response) {
+  //     try {
+  //       // processState(state_name, response[0]); process actual response from backend
+  //       processState(state_name, mockStateData); // process mock state data
+  //     } catch (e) {
+  //       console.error("Exception thrown", e.stack);
+  //       toastr.error('Failed to parse state data, ' + e);
+  //       defer.reject();
+  //       return;
+  //     }
+  //     // waitingDialog.hide();
+  //   }
+  // })
+  processState('default', stateData) // moved here until state route is hooked in from backend
+
 }
 
 function serializeSettings() {

From 15743c6fb79f090819368f7356151d390f54b247 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 Aug 2021 14:55:04 +0000
Subject: [PATCH 0290/1020] global variables will live in main for now

---
 anvio/data/interactive/js/genomeview/main.js | 37 ++++++++++++++++++++
 1 file changed, 37 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 1d2f555bfb..2ff6473d5c 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -23,6 +23,43 @@
  * genomeview modules to build out UI and render visualizations. Generally speaking, this file should stay pretty lean and purpose-driven.  
  */
 
+ var VIEWER_WIDTH = window.innerWidth || document.documentElement.clientWidth || document.getElementsByTagName('body')[0].clientWidth;
+ var VIEWER_HEIGHT = window.innerHeight || document.documentElement.clientHeight || document.getElementsByTagName('body')[0].clientHeight;
+
+ var canvas;
+ var genomeLabelsCanvas;
+ var genomeMax = 0;
+
+ var stateData = {};
+ var mainCanvasHeight;
+ var spacing = 50; // vertical spacing between genomes
+ var yOffset = 0 // vertical space between additional data layers
+ var marginTop = 20; // vertical margin at the top of the genome display
+ var xDisplacement = 0; // x-offset of genome start, activated if genome labels are shown
+ var showLabels = true; // show genome labels?
+ var genomeLabelSize = 15; // font size of genome labels
+ var showGeneLabels = true; // show gene labels?
+ var geneLabelSize = 40; // gene label font size
+ var geneLabelPos = "above"; // gene label position; one of "above", "slanted", "inside"
+ var labelSpacing = 30;  // spacing default for genomeLabel canvas
+ var scaleInterval = 100; // nt scale intervals
+ var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
+ var adlPtsPerLayer = 10000; // number of data points to be subsampled per ADL. TODO: more meaningful default?
+ var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
+ var maxGroupSize = 2 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer + group ruler.
+ let percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
+ var renderWindow = [];
+ var brush;
+
+ var alignToGC = null;
+
+ var arrowStyle = 1; // gene arrow cosmetics. 1 (default) = 'inspect-page', 2 = thicker arrows, 3 = pentagon, 4 = rect
+
+ var color_db;
+
+var genomeData;
+var xDisps = {};
+
 $(document).ready(function () {
   setEventListeners()
   initData();

From c6ede4e8239f1800fdd44396a8761a53ca9eaae8 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 Aug 2021 14:56:28 +0000
Subject: [PATCH 0291/1020] fix

---
 anvio/data/interactive/js/genomeview/main.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 2ff6473d5c..fe0161e20c 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -19,7 +19,7 @@
  */
 
 /**
- * File Overview : This file is the entrypoint for genomeview. Here, genomic + state data are are retrieved from the backend, processed, and passed to the various other
+ * File Overview : This file is the entrypoint for genomeview. Here, genomic + state data are retrieved from the backend, processed, and passed to the various other
  * genomeview modules to build out UI and render visualizations. Generally speaking, this file should stay pretty lean and purpose-driven.  
  */
 

From 1fe7eaa7588fb946ce87f9385e0273afdc082a9d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 Aug 2021 14:57:07 +0000
Subject: [PATCH 0292/1020] tooltip setup moved to UI

---
 anvio/data/interactive/js/genomeview/main.js | 24 --------------------
 1 file changed, 24 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index fe0161e20c..3a34f0d416 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -227,30 +227,6 @@ function loadAll() {
     $("#genome_spacing").val(spacing);
   }
 
-  function showToolTip(event) {
-    $('#tooltip-body').show().append(`
-            <p></p>
-            <style type="text/css">
-              .tftable {font-size:12px;color:#333333;width:100%;border-width: 1px;border-color: #729ea5;border-collapse: collapse;}
-              .tftable th {font-size:12px;background-color:#acc8cc;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;text-align:left;}
-              .tftable tr {background-color:#d4e3e5;}
-              .tftable td {font-size:12px;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;}
-              .tftable tr:hover {background-color:#ffffff;}
-            </style>
-      
-            <table class="tftable" border="1">
-              <tr><th>Data</th><th>Value</th></tr>
-              <tr><td>Split</td><td>${event.target.gene.contig}</td></tr>
-              <tr><td>Start in Contig</td><td>${event.target.gene.start}</td></tr>
-              <tr><td>Length</td><td>${event.target.gene.stop - event.target.gene.start}</td></tr>
-              <tr><td>Gene Callers ID</td><td>${event.target.geneID}</td></tr>
-              <tr><td>Gene Cluster</td><td>${genomeData.gene_associations["anvio-pangenome"] ? genomeData.gene_associations["anvio-pangenome"]["genome-and-gene-names-to-gene-clusters"][event.target.genomeID][event.target.geneID] : "None"}</td></tr>
-            </table>
-            <button>some action</button>
-            <button>some other action</button>
-            `).css({ 'position': 'absolute', 'left': event.e.clientX, 'top': event.e.clientY })
-  }
-
   $('#gene_color_order').append($('<option>', {
     value: 'Source',
     text: 'Source'

From c3c8ed92967915f9e449bf8a664fddbd2d6adfa8 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 Aug 2021 14:59:11 +0000
Subject: [PATCH 0293/1020] class is in session :)

---
 anvio/data/interactive/js/genomeview/main.js | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 3a34f0d416..1a70179b91 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -244,5 +244,7 @@ function loadAll() {
   brush.extent([parseInt($('#brush_start').val()), parseInt($('#brush_end').val())]);
   brush(d3.select(".brush"));
   updateRenderWindow();
-  draw();
+  // draw();
+  let drawer = new GenomeDrawer(settings)
+  drawer.draw() 
 }
\ No newline at end of file

From 9f2c5615b3589e1593f25f39267dfd8716b9b36f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 Aug 2021 15:11:36 +0000
Subject: [PATCH 0294/1020] drawer is a global var

---
 anvio/data/interactive/js/genomeview/main.js | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 1a70179b91..a654f1cab2 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -50,6 +50,7 @@
  let percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
  var renderWindow = [];
  var brush;
+ var drawer 
 
  var alignToGC = null;
 
@@ -245,6 +246,6 @@ function loadAll() {
   brush(d3.select(".brush"));
   updateRenderWindow();
   // draw();
-  let drawer = new GenomeDrawer(settings)
+  drawer = new GenomeDrawer(settings)
   drawer.draw() 
 }
\ No newline at end of file

From 8aab16ea7551b75473a2ecc37ba15ea53032d5c3 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 Aug 2021 15:14:42 +0000
Subject: [PATCH 0295/1020] hook in new class draw method

---
 anvio/data/interactive/js/genomeview/ui.js | 24 ++++++++++++++--------
 1 file changed, 16 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 3a8693ee24..86703c03ad 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -50,7 +50,8 @@ function setEventListeners(){
       let [l, r] = getFracForVPT();
       if (l < renderWindow[0] || r > renderWindow[1]) {
         updateRenderWindow();
-        draw();
+        // draw();
+        drawer.draw()
       }
     }
   });
@@ -156,12 +157,14 @@ function setEventListeners(){
   $('#gene_color_order').on('change', function () {
     color_db = $(this).val();
     generateColorTable(null, color_db); // TODO: include highlight_genes, fn_colors etc from state
-    draw();
+    // draw();
+    drawer,draw()
     $(this).blur();
   });
   $('#arrow_style').on('change', function () {
     arrowStyle = parseInt($(this).val());
-    draw();
+    // draw();
+    drawer.draw()
     $(this).blur();
   });
   $('#gene_text_pos').on('change', function () {
@@ -173,11 +176,13 @@ function setEventListeners(){
     showLabels = !showLabels;
     xDisplacement = showLabels ? 120 : 0;
     alignToGC = null;
-    draw();
+    // draw();
+    drawer.draw()
   });
   $('#show_gene_labels_box').on('change', function () {
     showGeneLabels = !showGeneLabels;
-    draw();
+    // draw();
+    drawer.draw()
   });
   $('#show_dynamic_scale_box').on('change', function () {
     dynamicScaleInterval = !dynamicScaleInterval;
@@ -336,7 +341,8 @@ function toggleAdditionalDataLayer(e){
     stateData['display']['additionalDataLayers'][layer] = false
     maxGroupSize -= 1 // decrease group height if hiding the layer
   }
-  draw()
+  // draw()
+  drawer.draw()
 }
 
 /*
@@ -383,7 +389,8 @@ function respondToBookmarkSelect(){
  */
 function changeGroupLayersOrder(updatedOrder){
   stateData['group-layer-order'] = updatedOrder
-  draw()
+  // draw()
+  drawer.draw()
 }
 
 /*
@@ -399,7 +406,8 @@ function changeGenomeOrder(updatedOrder){
     })
   })
   genomeData.genomes = newGenomeOrder
-  draw()
+  // draw()
+  drawer.draw()
 }
 
 /*

From e99cc93177436d8b2910363de266e6d4b5e25351 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 Aug 2021 15:16:09 +0000
Subject: [PATCH 0296/1020] hook in draw class method - navigation

---
 .../interactive/js/genomeview/navigation.js    | 18 ++++++++++++------
 1 file changed, 12 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index c2ebe192fe..8cc99f4019 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -49,7 +49,8 @@
     if(newStart == 0 && newEnd == genomeMax) { // for extra-zoomed-out view
       scaleFactor = 0.01;
       if(dynamicScaleInterval) adjustScaleInterval();
-    draw();
+    // draw();
+    drawer.draw()
       return;
     }
     if(newStart < 0) newStart = 0;
@@ -68,7 +69,8 @@
       return;
     }
     adlPtsPerLayer = newResolution;
-    draw();
+    // draw();
+    drawer.draw()
   }
   
   function showAllADLPts() {
@@ -85,7 +87,8 @@
     bindViewportToWindow();
     updateScalePos();
     updateRenderWindow();
-    draw();
+    // draw();
+    drawer.draw()
     $('#alignRulerBtn').blur();
   }
   
@@ -97,7 +100,8 @@
       return;
     }
     spacing = newSpacing;
-    draw();
+    // draw();
+    drawer.draw()
   }
   
   function setScaleInterval(newScale) {
@@ -108,7 +112,8 @@
       return;
     }
     scaleInterval = newScale;
-    draw();
+    // draw();
+    drawer.draw()
   }
 
   /*
@@ -260,7 +265,8 @@ function drawScale() {
 
       if(dynamicScaleInterval) adjustScaleInterval();
 
-      draw();
+      // draw();
+      drawer.draw()
       let moveToX = percentScale ? getRenderXRangeForFrac()[0] : xDisplacement+scaleFactor*b[0];
       canvas.absolutePan({x: moveToX, y: 0});
 

From 1ca945e123e0eb084182d05aa6aee7348ec6cd88 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 Aug 2021 15:31:28 +0000
Subject: [PATCH 0297/1020] mock data generation moved to test file

---
 anvio/data/interactive/js/genomeview/main.js | 30 ++------------------
 anvio/data/interactive/js/genomeview/test.js | 30 ++++++++++++++++++++
 2 files changed, 32 insertions(+), 28 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index a654f1cab2..3fbcc08183 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -172,37 +172,11 @@ function processState(stateName, stateData) {
     respondToBookmarkSelect()
   } else {
     calculateMaxGenomeLength() // remove later, only here to set max length for bookmark
-    stateData['display']['bookmarks'] = [ // gen mock data
-      {
-        name: 'entire seq',
-        start: '0',
-        stop: genomeMax,
-        description: 'a mighty fine placeholder'
-      },
-      {
-        name: 'shindig',
-        start: '5000',
-        stop: '9000',
-        description: 'a beautiful placeholder'
-      },
-      {
-        name: 'fiesta',
-        start: '15000',
-        stop: '19000',
-        description: 'an adequate placeholder'
-      },
-      {
-        name: 'party',
-        start: '25000',
-        stop: '29000',
-        description: 'the very best placeholder'
-      },
-    ]
+    stateData['display']['bookmarks'] = generateMockBookmarks() // for testing purposes
     stateData['display']['bookmarks'].map(bookmark => {
       $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
     })
-    // set listener for user bookmark selection
-    respondToBookmarkSelect()
+    respondToBookmarkSelect() // set listener for user bookmark selection
   }
 }
 
diff --git a/anvio/data/interactive/js/genomeview/test.js b/anvio/data/interactive/js/genomeview/test.js
index 0d8d022fe2..9db9d08c02 100644
--- a/anvio/data/interactive/js/genomeview/test.js
+++ b/anvio/data/interactive/js/genomeview/test.js
@@ -58,4 +58,34 @@ function generateMockGenomeOrder() {
     'name': 'birds',
     'ordering': 'beaks to tails'
   }]
+}
+
+function generateMockBookmarks(){
+  let bookmarks = [ 
+    {
+      name: 'entire seq',
+      start: '0',
+      stop: genomeMax,
+      description: 'a mighty fine placeholder'
+    },
+    {
+      name: 'shindig',
+      start: '5000',
+      stop: '9000',
+      description: 'a beautiful placeholder'
+    },
+    {
+      name: 'fiesta',
+      start: '15000',
+      stop: '19000',
+      description: 'an adequate placeholder'
+    },
+    {
+      name: 'party',
+      start: '25000',
+      stop: '29000',
+      description: 'the very best placeholder'
+    },
+  ]
+  return bookmarks
 }
\ No newline at end of file

From 735a0481d3403d0145fae04a0327d8377237a096 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 30 Aug 2021 15:42:48 +0000
Subject: [PATCH 0298/1020] package data into settings object for GenomeDrawer

---
 anvio/data/interactive/js/genomeview/main.js | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 3fbcc08183..b74c05c092 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -31,6 +31,7 @@
  var genomeMax = 0;
 
  var stateData = {};
+ var settings = {} // packaged obj sent off to GenomeDrawer
  var mainCanvasHeight;
  var spacing = 50; // vertical spacing between genomes
  var yOffset = 0 // vertical space between additional data layers
@@ -220,6 +221,8 @@ function loadAll() {
   brush(d3.select(".brush"));
   updateRenderWindow();
   // draw();
+
+  settings = Object.assign(settings, genome, stateData)
   drawer = new GenomeDrawer(settings)
   drawer.draw() 
 }
\ No newline at end of file

From b3d482daf7c2b7da6cc48451fb491d15e3dd764f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 30 Aug 2021 21:49:49 -0500
Subject: [PATCH 0299/1020] include ALL user-supplied fn annotations for gene
 coloring

---
 anvio/data/interactive/js/constants.js  |  3 ++
 anvio/data/interactive/js/genomeview.js | 38 +++++++++++++++++++------
 2 files changed, 33 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/constants.js b/anvio/data/interactive/js/constants.js
index cef8545e8a..e17857a09b 100644
--- a/anvio/data/interactive/js/constants.js
+++ b/anvio/data/interactive/js/constants.js
@@ -107,6 +107,9 @@ var default_source_colors = {
   'rRNA': '#b22222'
 }
 
+// default colors for user-supplied functional annotations
+var custom_cag_colors = Object.values(default_COG_colors).concat(Object.values(default_KEGG_colors));
+
 var named_functional_sources = {
     'EGGNOG_BACT': {
         'accession_decorator': (function (d) {
diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index a983056bf9..636dc2f018 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -312,7 +312,6 @@ function loadAll() {
     text: 'Source'
   }));
   for(fn of getFunctionalAnnotations()) {
-    if(!['COG_CATEGORY', 'KEGG_CATEGORY'].includes(fn)) continue; // TODO: support any option
     $('#gene_color_order').append($('<option>', {
       value: fn,
       text: fn
@@ -1539,11 +1538,34 @@ function getColorDefaults(fn_type) {
     case 'Source':
       return default_source_colors;
     default:
-      console.log("Warning: Invalid type for function color table");
-      return null;
+      // user-supplied color table
+      return getCustomColorDict(fn_type);
   }
 }
 
+/*
+ *  [TO BE ADDED TO 'regular' utils.js]
+ *  @returns arbitrary category:color dict given a list of categories
+ */
+function getCustomColorDict(fn_type) {
+  if(!Object.keys(genomeData.genomes[0][1].genes.functions[0]).includes(fn_type)) return null;
+
+  let cags = [];
+  genomeData.genomes.forEach(genome => {
+    Object.values(genome[1].genes.functions).forEach(fn => {
+      if(fn && fn[fn_type] && fn[fn_type][1] && !cags.includes(fn[fn_type][1])) cags.push(fn[fn_type][1]);
+    });
+  });
+
+  let out = custom_cag_colors.reduce((out, field, index) => {
+    out[cags[index]] = field;
+    return out;
+  }, {});
+  delete out["undefined"];
+
+  return out;
+}
+
 /*
  *  [TO BE ADDED TO genomeview/UI.js ... OR potentially 'regular' utils.js]
  *  @returns target gene's category code for a given functional annotation type.
@@ -1556,8 +1578,7 @@ function getCagForType(geneFunctions, fn_type) {
       // TODO
       return null;
     default:
-      // TODO
-      return null;
+      return geneFunctions && geneFunctions[fn_type] ? geneFunctions[fn_type][1] : null;
   }
 }
 
@@ -1577,7 +1598,7 @@ function getCagName(category, fn_type) {
 }
 
 /*
- *  [TO BE ADDED TO genomeview/UI.js ... OR potentially 'regular' utils.js]
+ *  [TO BE ADDED TO 'regular' utils.js]
  *  Generates functional annotation color table for a given color palette.
  *
  *  @param fn_colors :       dict matching each category to a hex color code to override defaults
@@ -1596,8 +1617,9 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
   if(filter_to_split && fn_type != 'Source') {
     let save = [];
     for(genome of genomeData.genomes) {
-      for(geneFunctions of Object.entries(genome[1].genes.functions)) {
-        let cag = getCagForType(geneFunctions[1], fn_type);
+      let genes = Object.values(genome[1].genes);
+      for(gene of genes) {
+        let cag = getCagForType(gene.functions, fn_type);
         if(cag && !save.includes(cag)) save.push(cag);
       }
     }

From 0ec2315e21080679f9e5aca8f95a90fd10f8489a Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 30 Aug 2021 22:24:25 -0500
Subject: [PATCH 0300/1020] color tables for custom annotations fix

---
 anvio/data/interactive/js/genomeview.js | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 636dc2f018..b336504881 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1553,7 +1553,8 @@ function getCustomColorDict(fn_type) {
   let cags = [];
   genomeData.genomes.forEach(genome => {
     Object.values(genome[1].genes.functions).forEach(fn => {
-      if(fn && fn[fn_type] && fn[fn_type][1] && !cags.includes(fn[fn_type][1])) cags.push(fn[fn_type][1]);
+      let cag = getCagForType(fn, fn_type);
+      if(cag && !cags.includes(cag)) cags.push(cag);
     });
   });
 
@@ -1578,7 +1579,8 @@ function getCagForType(geneFunctions, fn_type) {
       // TODO
       return null;
     default:
-      return geneFunctions && geneFunctions[fn_type] ? geneFunctions[fn_type][1] : null;
+      let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][1] : null;
+      return out;
   }
 }
 
@@ -1617,9 +1619,9 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
   if(filter_to_split && fn_type != 'Source') {
     let save = [];
     for(genome of genomeData.genomes) {
-      let genes = Object.values(genome[1].genes);
-      for(gene of genes) {
-        let cag = getCagForType(gene.functions, fn_type);
+      let geneFuns = Object.values(genome[1].genes.functions);
+      for(funs of geneFuns) {
+        let cag = getCagForType(funs, fn_type);
         if(cag && !save.includes(cag)) save.push(cag);
       }
     }

From 4d0f8ada1f5e17bd10266b0c9e329f93f963c140 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 30 Aug 2021 22:26:04 -0500
Subject: [PATCH 0301/1020] use first annotation if user supplies
 comma-separated list of gene fns

---
 anvio/data/interactive/js/genomeview.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index b336504881..19a1a074f9 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1580,6 +1580,7 @@ function getCagForType(geneFunctions, fn_type) {
       return null;
     default:
       let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][1] : null;
+      if(out && out.indexOf(',') != -1) out = out.substr(0,out.indexOf(',')); // take first cag in case of a comma-separated list
       return out;
   }
 }

From 318572bb9844947772ae92a071b34ed044293c33 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 30 Aug 2021 23:09:30 -0500
Subject: [PATCH 0302/1020] handle special characters in category names

---
 anvio/data/interactive/js/genomeview.js | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
index 19a1a074f9..94c484c14e 100644
--- a/anvio/data/interactive/js/genomeview.js
+++ b/anvio/data/interactive/js/genomeview.js
@@ -1042,7 +1042,7 @@ function geneArrow(gene, geneID, y, genomeID, style) {
   let functions = genomeData.genomes[ind][1].genes.functions[geneID];
 
   let color = 'gray';
-  let cag = functions && functions[color_db] ? functions[color_db][1][0] : null;
+  let cag = getCagForType(functions, color_db);
 
   // TODO: use state instead of hardcoded color pickers
 
@@ -1052,7 +1052,8 @@ function geneArrow(gene, geneID, y, genomeID, style) {
     color = $('#picker_' + pickerCode).attr('color');
   } else {
     if(cag) {
-       if($('#picker_' + cag).length > 0) color = $('#picker_' + cag).attr('color');
+      let code = cag.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_');
+      if($('#picker_' + code).length > 0) color = $('#picker_' + code).attr('color');
     } else {
       if (gene.source.startsWith('Ribosomal_RNA')) {
         cag = 'rRNA';
@@ -1581,6 +1582,7 @@ function getCagForType(geneFunctions, fn_type) {
     default:
       let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][1] : null;
       if(out && out.indexOf(',') != -1) out = out.substr(0,out.indexOf(',')); // take first cag in case of a comma-separated list
+      if(out && out.indexOf(';') != -1) out = out.substr(0,out.indexOf(';')); // or semicolon-separated
       return out;
   }
 }
@@ -1685,11 +1687,12 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
  *  [TO BE ADDED TO 'regular' utils.js]
  */
 function appendColorRow(label, cag, color, prepend=false) {
+  let code = cag.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_');
   var tbody_content =
-   '<tr id="picker_row_' + cag + '"> \
+   '<tr id="picker_row_' + code + '"> \
       <td></td> \
       <td> \
-        <div id="picker_' + cag + '" class="colorpicker" color="' + color + '" background-color="' + color + '" style="background-color: ' + color + '; margin-right:16px; margin-left:16px"></div> \
+        <div id="picker_' + code + '" class="colorpicker" color="' + color + '" background-color="' + color + '" style="background-color: ' + color + '; margin-right:16px; margin-left:16px"></div> \
       </td> \
       <td>' + label + '</td> \
     </tr>';

From 2389c265675e58425f3faa154dd10fd9af765da1 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:23:21 +0000
Subject: [PATCH 0303/1020] move event listener setter to loadAll

---
 anvio/data/interactive/js/genomeview/main.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index b74c05c092..7b444ba4e6 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -63,7 +63,6 @@ var genomeData;
 var xDisps = {};
 
 $(document).ready(function () {
-  setEventListeners()
   initData();
   loadState();
   loadAll();
@@ -222,6 +221,7 @@ function loadAll() {
   updateRenderWindow();
   // draw();
 
+  setEventListeners()
   settings = Object.assign(settings, genome, stateData)
   drawer = new GenomeDrawer(settings)
   drawer.draw() 

From 1b8e1d7e52d36e2b3dd57ae602d700513a0dab33 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:30:22 +0000
Subject: [PATCH 0304/1020] align to cluster refactored to drawer method

---
 .../data/interactive/js/genomeview/drawer.js  | 32 +++++++++++++++++++
 1 file changed, 32 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 9e8592fa46..022d5983d2 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -393,6 +393,38 @@ GenomeDrawer.prototype.glowGenes = function(geneParams){
   canvas.renderAll();
 }
 
+/*
+ *  Shift genomes horizontally to align genes around the target gene cluster.
+ *
+ *  @param gc : target gene cluster ID
+ */
+GenomeDrawer.prototype.alignToCluster = function(gc){
+  if(!genomeData.gene_associations["anvio-pangenome"]) return;
+
+  let targetGeneInfo = viewCluster(gc);
+  if(targetGeneInfo == null) return;
+  let [firstGenomeID, targetGeneMid] = targetGeneInfo;
+  if(firstGenomeID != null) {
+    alignToGC = gc;
+    let index = genomeData.genomes.findIndex(g => g[0] == firstGenomeID);
+    for(var i = index+1; i < genomeData.genomes.length; i++) {
+      let gid = genomeData.genomes[i][0];
+      let geneMids = getGenePosForGenome(genomeData.genomes[i][0], alignToGC);
+      if(geneMids == null) continue;
+      let geneMid = geneMids[0]; /* TODO: implementation for multiple matching gene IDs */
+      let shift = scaleFactor * (targetGeneMid - geneMid) + (xDisps[firstGenomeID] - xDisps[gid]);
+      let objs = canvas.getObjects().filter(obj => obj.groupID == gid);
+      for(o of objs) o.left += shift;
+      xDisps[gid] += shift;
+      canvas.setViewportTransform(canvas.viewportTransform);
+
+      // clear and redraw shades
+      clearShades();
+      drawTestShades();
+    }
+  }
+}
+
 /*
  *  Clear all gene links from the canvas.
  */

From 70756f1fea29ce37054bc6806a7a3dfda3b95223 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:33:44 +0000
Subject: [PATCH 0305/1020] glowGenes comment, migrate viewCluster

---
 .../data/interactive/js/genomeview/drawer.js  |  7 ++++
 .../interactive/js/genomeview/navigation.js   | 42 +++++++++++++++++++
 2 files changed, 49 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 022d5983d2..74a27cc163 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -366,6 +366,13 @@ GenomeDrawer.prototype.shadeGeneClusters = function(geneClusters, colors){
   }
 }
 
+/*
+ *  Add a temporary glow effect around given gene(s).
+ *
+ *  @param geneParams : array of dicts, in one of two formats:
+ *    (1) [{genomeID: gid_1, geneID: [id_1, id_2, ...]}, ...]
+ *    (2) [{genomeID: gid_1, geneID: id_1}, ...]
+ */
 GenomeDrawer.prototype.glowGenes = function(geneParams){
    // convert geneParams format (1) to format (2)
    if(Array.isArray(geneParams[0].geneID)) {
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 8cc99f4019..1fa132a5b5 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -307,4 +307,46 @@ function updateRenderWindow() {
     let diff = end - start > 10000 ? Math.floor((end - start)/2) : 5000;
     renderWindow = [clamp(start - diff, 0, genomeMax), clamp(end + diff, 0, genomeMax)];
   }
+}
+
+/*
+ * Pan viewport to the first gene in the target gene cluster.
+ *
+ * @param gc : target gene cluster ID
+ * @returns tuple [a,b] where
+ *  a is genomeID of the first genome containing `gc` and
+ *  b is NT position of the middle of the target gene
+*/
+function viewCluster(gc) {
+  if(!genomeData.gene_associations["anvio-pangenome"]) return;
+
+  let genes = [];
+  let geneMid;
+  let first = true;
+  let firstGenomeID;
+
+  if(!gc || gc in genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"]) {
+    for(genome of genomeData.genomes) {
+      var targetGenes = getGenesOfGC(genome[0], gc);
+      if(targetGenes == null) continue;
+      var targetGeneID = targetGenes[0]; /* TODO: implementation for multiple matching gene IDs */
+      var targetGene = genome[1].genes.gene_calls[targetGeneID];
+      genes.push({genomeID:genome[0],geneID:targetGeneID});
+      if(first) {
+        geneMid = targetGene.start + (targetGene.stop - targetGene.start) / 2;
+        canvas.absolutePan({x: scaleFactor*geneMid + xDisps[genome[0]] - canvas.getWidth()/2, y: 0});
+        canvas.viewportTransform[4] = clamp(canvas.viewportTransform[4], canvas.getWidth() - genomeMax*scaleFactor - xDisps[genome[0]] - 125, 125);
+        firstGenomeID = genome[0];
+        first = false;
+      }
+    }
+    updateScalePos();
+    updateRenderWindow();
+    draw();
+    glowGenes(genes);
+    return (first ? null : [firstGenomeID, geneMid]);
+  } else {
+    console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
+    return null;
+  }
 }
\ No newline at end of file

From 0498374daf6e91f578bd3ec2413f22afe9040859 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:35:52 +0000
Subject: [PATCH 0306/1020] move setPtsforADL

---
 anvio/data/interactive/js/genomeview/drawer.js | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 74a27cc163..131538c940 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -437,4 +437,15 @@ GenomeDrawer.prototype.alignToCluster = function(gc){
  */
 GenomeDrawer.prototype.clearShades = function(){
   canvas.getObjects().filter(obj => obj.id == 'link').forEach((l) => { canvas.remove(l) });
+}
+
+GenomeDrawer.prototype.setPtsPerADL = function (){
+  if(isNaN(newResolution)) return;
+  newResolution = parseInt(newResolution);
+  if(newResolution < 0 || newResolution > genomeMax) {
+    alert(`Invalid value, genome spacing must be in range 0-${genomeMax}.`);
+    return;
+  }
+  adlPtsPerLayer = newResolution;
+  draw();
 }
\ No newline at end of file

From f09d7b9553007571b43c78dbeb81bf1ce25f3289 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:37:21 +0000
Subject: [PATCH 0307/1020] show all ADL pts moved from navigation to drawer
 class

---
 anvio/data/interactive/js/genomeview/drawer.js  |  5 +++++
 .../interactive/js/genomeview/navigation.js     | 17 -----------------
 2 files changed, 5 insertions(+), 17 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 131538c940..65092d15e7 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -448,4 +448,9 @@ GenomeDrawer.prototype.setPtsPerADL = function (){
   }
   adlPtsPerLayer = newResolution;
   draw();
+}
+
+GenomeDrawer.prototype.showAllADLPts = function(){
+  setPtsPerADL(genomeMax);
+  $('#showAllADLPtsBtn').blur();
 }
\ No newline at end of file
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 1fa132a5b5..e23ed63205 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -60,23 +60,6 @@
     brush(d3.select(".brush").transition());
     brush.event(d3.select(".brush").transition());
   }
-
-  function setPtsPerADL(newResolution) {
-    if(isNaN(newResolution)) return;
-    newResolution = parseInt(newResolution);
-    if(newResolution < 0 || newResolution > genomeMax) {
-      alert(`Invalid value, genome spacing must be in range 0-${genomeMax}.`);
-      return;
-    }
-    adlPtsPerLayer = newResolution;
-    // draw();
-    drawer.draw()
-  }
-  
-  function showAllADLPts() {
-    setPtsPerADL(genomeMax);
-    $('#showAllADLPtsBtn').blur();
-  }
   
   function alignRulers() {
     for(genome of genomeData.genomes) {

From 88fa214af046b1b8ab74be2d1e1868b43b44c8b6 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:38:50 +0000
Subject: [PATCH 0308/1020] alignRulers moved to drawer

---
 anvio/data/interactive/js/genomeview/drawer.js     | 13 +++++++++++++
 anvio/data/interactive/js/genomeview/navigation.js | 14 --------------
 2 files changed, 13 insertions(+), 14 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 65092d15e7..94b8c2be5a 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -453,4 +453,17 @@ GenomeDrawer.prototype.setPtsPerADL = function (){
 GenomeDrawer.prototype.showAllADLPts = function(){
   setPtsPerADL(genomeMax);
   $('#showAllADLPtsBtn').blur();
+}
+
+GenomeDrawer.prototype.alignRulers = function(){
+  for(genome of genomeData.genomes) {
+    xDisps[genome[0]] = xDisplacement;
+  }
+  percentScale = false;
+  drawScale();
+  bindViewportToWindow();
+  updateScalePos();
+  updateRenderWindow();
+  draw();
+  $('#alignRulerBtn').blur();
 }
\ No newline at end of file
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index e23ed63205..76667ee10b 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -61,20 +61,6 @@
     brush.event(d3.select(".brush").transition());
   }
   
-  function alignRulers() {
-    for(genome of genomeData.genomes) {
-      xDisps[genome[0]] = xDisplacement;
-    }
-    percentScale = false;
-    drawScale();
-    bindViewportToWindow();
-    updateScalePos();
-    updateRenderWindow();
-    // draw();
-    drawer.draw()
-    $('#alignRulerBtn').blur();
-  }
-  
   function setGenomeSpacing(newSpacing) {
     if(isNaN(newSpacing)) return;
     newSpacing = parseInt(newSpacing);

From 04b2fecdb610ec7d242a8f3a1d21bcb167389155 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:44:57 +0000
Subject: [PATCH 0309/1020] setGenomeSpacing moved to drawer

---
 anvio/data/interactive/js/genomeview/navigation.js | 12 ------------
 1 file changed, 12 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 76667ee10b..43d59ca051 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -61,18 +61,6 @@
     brush.event(d3.select(".brush").transition());
   }
   
-  function setGenomeSpacing(newSpacing) {
-    if(isNaN(newSpacing)) return;
-    newSpacing = parseInt(newSpacing);
-    if(newSpacing < 0 || newSpacing > 1000) {
-      alert(`Invalid value, genome spacing must be in range 0-1000.`);
-      return;
-    }
-    spacing = newSpacing;
-    // draw();
-    drawer.draw()
-  }
-  
   function setScaleInterval(newScale) {
     if(isNaN(newScale)) return;
     newScale = parseInt(newScale);

From 475fcc33f7a097780e5072e76b282b3590af005a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:45:05 +0000
Subject: [PATCH 0310/1020] setGenomeSpacing moved

---
 anvio/data/interactive/js/genomeview/drawer.js | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 94b8c2be5a..54a53c7483 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -466,4 +466,15 @@ GenomeDrawer.prototype.alignRulers = function(){
   updateRenderWindow();
   draw();
   $('#alignRulerBtn').blur();
+}
+
+GenomeDrawer.prototype.setGenomeSpacing = function(){
+  if(isNaN(newSpacing)) return;
+  newSpacing = parseInt(newSpacing);
+  if(newSpacing < 0 || newSpacing > 1000) {
+    alert(`Invalid value, genome spacing must be in range 0-1000.`);
+    return;
+  }
+  spacing = newSpacing;
+  draw();
 }
\ No newline at end of file

From 668d5aaead44ebff8e2a1accab8cbc91cecfca29 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:47:42 +0000
Subject: [PATCH 0311/1020] set scale interval moved to drawer

---
 anvio/data/interactive/js/genomeview/drawer.js     | 11 +++++++++++
 anvio/data/interactive/js/genomeview/navigation.js | 12 ------------
 2 files changed, 11 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 54a53c7483..634a7df3bc 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -477,4 +477,15 @@ GenomeDrawer.prototype.setGenomeSpacing = function(){
   }
   spacing = newSpacing;
   draw();
+}
+
+GenomeDrawer.prototype.setScaleInterval = function(newScale){
+  if(isNaN(newScale)) return;
+  newScale = parseInt(newScale);
+  if(newScale < 50) {
+    alert(`Invalid value, scale interval must be >=50.`);
+    return;
+  }
+  scaleInterval = newScale;
+  draw();
 }
\ No newline at end of file
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 43d59ca051..627272824f 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -60,18 +60,6 @@
     brush(d3.select(".brush").transition());
     brush.event(d3.select(".brush").transition());
   }
-  
-  function setScaleInterval(newScale) {
-    if(isNaN(newScale)) return;
-    newScale = parseInt(newScale);
-    if(newScale < 50) {
-      alert(`Invalid value, scale interval must be >=50.`);
-      return;
-    }
-    scaleInterval = newScale;
-    // draw();
-    drawer.draw()
-  }
 
   /*
  *  @returns [start, stop] nt range for the current viewport and scaleFactor

From 6aeeabb4d319ee5771c8e1aeea6ef24b4e5f8291 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:49:00 +0000
Subject: [PATCH 0312/1020] set gene label size moved to drawer

---
 anvio/data/interactive/js/genomeview/drawer.js | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 634a7df3bc..5cc5c0660d 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -488,4 +488,15 @@ GenomeDrawer.prototype.setScaleInterval = function(newScale){
   }
   scaleInterval = newScale;
   draw();
+}
+
+GenomeDrawer.prototype.setGeneLabelSize = function(newSize){
+  if(isNaN(newSize)) return;
+  newSize = parseInt(newSize);
+  if(newSize < 0 || newSize > 1000) {
+    alert(`Invalid value, gene label size must be in range 0-1000.`);
+    return;
+  }
+  geneLabelSize = newSize;
+  if(showGeneLabels) draw();
 }
\ No newline at end of file

From e4c78d449c9752e84abd92daae47cbda5a3134ef Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:49:44 +0000
Subject: [PATCH 0313/1020] set genome label size moved to drawer

---
 anvio/data/interactive/js/genomeview/drawer.js | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 5cc5c0660d..cda4caf0ab 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -499,4 +499,15 @@ GenomeDrawer.prototype.setGeneLabelSize = function(newSize){
   }
   geneLabelSize = newSize;
   if(showGeneLabels) draw();
+}
+
+GenomeDrawer.prototype.setGenomeLabelSize = function(newSize){
+  if(isNaN(newSize)) return;
+  newSize = parseInt(newSize);
+  if(newSize < 0 || newSize > 1000) {
+    alert(`Invalid value, genome label size must be in range 0-1000.`);
+    return;
+  }
+  genomeLabelSize = newSize;
+  if(showLabels) draw();
 }
\ No newline at end of file

From f43fbc4aadb2685024695403fcb01eb669f6afff Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:54:23 +0000
Subject: [PATCH 0314/1020] redraw single genome moved to drawer

---
 anvio/data/interactive/js/genomeview/drawer.js | 8 ++++++++
 anvio/data/interactive/js/genomeview/ui.js     | 2 +-
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index cda4caf0ab..c8b55327c0 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -510,4 +510,12 @@ GenomeDrawer.prototype.setGenomeLabelSize = function(newSize){
   }
   genomeLabelSize = newSize;
   if(showLabels) draw();
+}
+
+GenomeDrawer.prototype.redrawSingleGenome = function(genomeID){
+  canvas.getObjects().filter(o => o.groupID == genomeID).forEach(obj => canvas.remove(obj));
+  let idx = genomeData.genomes.findIndex(obj => obj[0] == genomeID);
+  addGenome(idx);
+  addLayers(idx);
+  checkGeneLabels();
 }
\ No newline at end of file
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 86703c03ad..9d98b680f7 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -68,7 +68,7 @@ function setEventListeners(){
       updateScalePos(); // adjust scale box to new sequence breadth
       updateRenderWindow();
 
-      redrawGenome(opt.target.groupID);
+      GenomeDrawer.redrawSingleGenome(opt.target.groupID);
     }
   });
   canvas.on('object:moving', function (opt) {

From 695f12e3e5814aefe681ad395e63268a8300bdec Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:56:35 +0000
Subject: [PATCH 0315/1020] get NT range moved to utils

---
 .../interactive/js/genomeview/navigation.js   | 19 -------------------
 anvio/data/interactive/js/genomeview/utils.js | 19 +++++++++++++++++++
 2 files changed, 19 insertions(+), 19 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 627272824f..9883ea5d39 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -61,25 +61,6 @@
     brush.event(d3.select(".brush").transition());
   }
 
-  /*
- *  @returns [start, stop] nt range for the current viewport and scaleFactor
- */
-function getNTRangeForVPT() {
-  let vpt = canvas.viewportTransform;
-  let window_left = Math.floor((-1*vpt[4]-xDisplacement)/scaleFactor);
-  let window_right = Math.floor(window_left + canvas.getWidth()/scaleFactor);
-  // if window is out of bounds, shift to be in bounds
-  if(window_left < 0) {
-    window_right -= window_left;
-    window_left = 0;
-  }
-  if(window_right > genomeMax) {
-    window_left -= (window_right - genomeMax);
-    window_right = genomeMax;
-  }
-  return [window_left, window_right];
-}
-
 /*
  *  @returns [start, stop] proportional (0-1) range, used with scale for non-aligned genomes
  */
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index f855ad3f0d..041c1855c3 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -107,6 +107,25 @@ function checkGeneLabels() {
   }
 }
 
+ /*
+ *  @returns [start, stop] nt range for the current viewport and scaleFactor
+ */
+ function getNTRangeForVPT() {
+  let vpt = canvas.viewportTransform;
+  let window_left = Math.floor((-1*vpt[4]-xDisplacement)/scaleFactor);
+  let window_right = Math.floor(window_left + canvas.getWidth()/scaleFactor);
+  // if window is out of bounds, shift to be in bounds
+  if(window_left < 0) {
+    window_right -= window_left;
+    window_left = 0;
+  }
+  if(window_right > genomeMax) {
+    window_left -= (window_right - genomeMax);
+    window_right = genomeMax;
+  }
+  return [window_left, window_right];
+}
+
 function getCategoryForKEGGClass(class_str) {
   if(class_str == null) return null;
 

From 4b72260011f2a91eec67a90463debc8ae78025ed Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:57:08 +0000
Subject: [PATCH 0316/1020] get frac for viewport moved to utils

---
 .../interactive/js/genomeview/navigation.js   | 20 -------------------
 anvio/data/interactive/js/genomeview/utils.js | 20 +++++++++++++++++++
 2 files changed, 20 insertions(+), 20 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 9883ea5d39..2b2df629f9 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -61,26 +61,6 @@
     brush.event(d3.select(".brush").transition());
   }
 
-/*
- *  @returns [start, stop] proportional (0-1) range, used with scale for non-aligned genomes
- */
-function getFracForVPT() {
-  let resolution = 4; // number of decimals to show
-  let [x1, x2] = calcXBounds();
-  let window_left = Math.round(10**resolution * (-1*canvas.viewportTransform[4] - x1) / (x2 - x1)) / 10**resolution;
-  let window_right = Math.round(10**resolution * (window_left + (canvas.getWidth()) / (x2 - x1))) / 10**resolution;
-  // if window is out of bounds, shift to be in bounds
-  if(window_left < 0) {
-    window_right -= window_left;
-    window_left = 0;
-  }
-  if(window_right > 1) {
-    window_left -= (window_right - 1);
-    window_right = 1;
-  }
-  return [window_left, window_right];
-}
-
 /*
  *  @returns range of renderWindow x-positions for a given proportional range
  */
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 041c1855c3..e8d58ca697 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -126,6 +126,26 @@ function checkGeneLabels() {
   return [window_left, window_right];
 }
 
+/*
+ *  @returns [start, stop] proportional (0-1) range, used with scale for non-aligned genomes
+ */
+function getFracForVPT() {
+  let resolution = 4; // number of decimals to show
+  let [x1, x2] = calcXBounds();
+  let window_left = Math.round(10**resolution * (-1*canvas.viewportTransform[4] - x1) / (x2 - x1)) / 10**resolution;
+  let window_right = Math.round(10**resolution * (window_left + (canvas.getWidth()) / (x2 - x1))) / 10**resolution;
+  // if window is out of bounds, shift to be in bounds
+  if(window_left < 0) {
+    window_right -= window_left;
+    window_left = 0;
+  }
+  if(window_right > 1) {
+    window_left -= (window_right - 1);
+    window_right = 1;
+  }
+  return [window_left, window_right];
+}
+
 function getCategoryForKEGGClass(class_str) {
   if(class_str == null) return null;
 

From 2133c948dcbc265228bdef6df7160b2c878b380f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:58:04 +0000
Subject: [PATCH 0317/1020] get render range functions moved to utils

---
 .../interactive/js/genomeview/navigation.js     | 17 -----------------
 anvio/data/interactive/js/genomeview/utils.js   | 17 +++++++++++++++++
 2 files changed, 17 insertions(+), 17 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 2b2df629f9..5f90241c4b 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -61,23 +61,6 @@
     brush.event(d3.select(".brush").transition());
   }
 
-/*
- *  @returns range of renderWindow x-positions for a given proportional range
- */
-function getRenderXRangeForFrac() {
-  if(!percentScale) return null;
-  let [l,r] = calcXBounds();
-  let [x1, x2] = renderWindow.map(x => l+x*(r-l));
-  return [x1, x2];
-}
-
-function getRenderNTRange(genomeID) {
-  if(!percentScale) return renderWindow;
-  let [l,r] = calcXBounds();
-  let [start, end] = getRenderXRangeForFrac().map(x => (x-xDisps[genomeID])/scaleFactor);
-  return [clamp(start,0,genomeMax), clamp(end,0,genomeMax)];
-}
-
 /*
  *  Resets viewport if outside bounds of the view window, with padding on each end
  */
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index e8d58ca697..3c09a875fe 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -146,6 +146,23 @@ function getFracForVPT() {
   return [window_left, window_right];
 }
 
+/*
+ *  @returns range of renderWindow x-positions for a given proportional range
+ */
+function getRenderXRangeForFrac() {
+  if(!percentScale) return null;
+  let [l,r] = calcXBounds();
+  let [x1, x2] = renderWindow.map(x => l+x*(r-l));
+  return [x1, x2];
+}
+
+function getRenderNTRange(genomeID) {
+  if(!percentScale) return renderWindow;
+  let [l,r] = calcXBounds();
+  let [start, end] = getRenderXRangeForFrac().map(x => (x-xDisps[genomeID])/scaleFactor);
+  return [clamp(start,0,genomeMax), clamp(end,0,genomeMax)];
+}
+
 function getCategoryForKEGGClass(class_str) {
   if(class_str == null) return null;
 

From c30b9b86aa1cf40ebc10419edca8dbaf913c6e39 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 17:59:01 +0000
Subject: [PATCH 0318/1020] calcX bounds moved to utils

---
 anvio/data/interactive/js/genomeview/navigation.js | 13 -------------
 anvio/data/interactive/js/genomeview/utils.js      | 14 ++++++++++++++
 2 files changed, 14 insertions(+), 13 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 5f90241c4b..0da3a95c4a 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -74,19 +74,6 @@ function bindViewportToWindow() {
   }
 }
 
-/*
- *  @returns array [min, max] where
- *    min = x-start of the leftmost genome, max = x-end of the rightmost genome
- */
-function calcXBounds() {
-  let min = 9*(10**9), max = -9*(10**9);
-  for(let g in xDisps) {
-    if(xDisps[g] > max) max = xDisps[g];
-    if(xDisps[g] < min) min = xDisps[g];
-  }
-  return [min, max + scaleFactor*genomeMax];
-}
-
 /*
  *  Replaces nt scale with a 0-1 proportional scale
  */
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 3c09a875fe..40d499fc5b 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -163,6 +163,20 @@ function getRenderNTRange(genomeID) {
   return [clamp(start,0,genomeMax), clamp(end,0,genomeMax)];
 }
 
+/*
+ *  @returns array [min, max] where
+ *    min = x-start of the leftmost genome, max = x-end of the rightmost genome
+ */
+function calcXBounds() {
+  let min = 9*(10**9), max = -9*(10**9);
+  for(let g in xDisps) {
+    if(xDisps[g] > max) max = xDisps[g];
+    if(xDisps[g] < min) min = xDisps[g];
+  }
+  return [min, max + scaleFactor*genomeMax];
+}
+
+
 function getCategoryForKEGGClass(class_str) {
   if(class_str == null) return null;
 

From ae634c379799a3b66f02a50513cc29b9093a3805 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 18:03:54 +0000
Subject: [PATCH 0319/1020] adjust scale interval moved to drawer

---
 anvio/data/interactive/js/genomeview/drawer.js     | 11 +++++++++++
 anvio/data/interactive/js/genomeview/navigation.js | 11 -----------
 2 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index c8b55327c0..c82e9158c4 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -518,4 +518,15 @@ GenomeDrawer.prototype.redrawSingleGenome = function(genomeID){
   addGenome(idx);
   addLayers(idx);
   checkGeneLabels();
+}
+
+/*
+ *  Dynamically set scale tick interval based on scaleFactor.
+ */
+GenomeDrawer.prototype.adjustScaleInterval = function(){
+  let val = Math.floor(100/scaleFactor);
+  let roundToDigits = Math.floor(Math.log10(val)) - 1;
+  let newInterval = Math.floor(val/(10**roundToDigits)) * (10**roundToDigits);
+  scaleInterval = newInterval;
+  $('#genome_scale_interval').val(scaleInterval);
 }
\ No newline at end of file
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 0da3a95c4a..241c3ea3e8 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -150,17 +150,6 @@ function drawScale() {
   }
 }
 
-/*
- *  Dynamically set scale tick interval based on scaleFactor.
- */
-function adjustScaleInterval() {
-  let val = Math.floor(100/scaleFactor);
-  let roundToDigits = Math.floor(Math.log10(val)) - 1;
-  let newInterval = Math.floor(val/(10**roundToDigits)) * (10**roundToDigits);
-  scaleInterval = newInterval;
-  $('#genome_scale_interval').val(scaleInterval);
-}
-
 /*
  *  Update scale info to match viewport location.
  */

From 2b46dd3db38b71fd97b4a712cd7c17493bcc10d3 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 18:06:49 +0000
Subject: [PATCH 0320/1020] cog/annotation stuff in utils

---
 anvio/data/interactive/js/genomeview/utils.js | 83 +++++++++++++++++++
 1 file changed, 83 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 40d499fc5b..41b3e95594 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -176,6 +176,89 @@ function calcXBounds() {
   return [min, max + scaleFactor*genomeMax];
 }
 
+/*
+ *  [TO BE ADDED TO 'regular' utils.js since it can be used in the inspect page]
+ *  @returns array of functional annotation types from table in `genomeData`
+ */
+function getFunctionalAnnotations() {
+  return Object.keys(genomeData.genomes[0][1].genes.functions[0]);
+}
+
+/*
+ *  [TO BE ADDED TO 'regular' utils.js]
+ *  @returns relevant category:color dict from constants.js for a given functional annotation
+ */
+function getColorDefaults(fn_type) {
+  switch(fn_type) {
+    case 'COG_CATEGORY':
+      return default_COG_colors;
+    case 'KEGG_CATEGORY':
+      return default_KEGG_colors;
+    case 'Source':
+      return default_source_colors;
+    default:
+      // user-supplied color table
+      return getCustomColorDict(fn_type);
+  }
+}
+
+/*
+ *  [TO BE ADDED TO 'regular' utils.js]
+ *  @returns arbitrary category:color dict given a list of categories
+ */
+function getCustomColorDict(fn_type) {
+  if(!Object.keys(genomeData.genomes[0][1].genes.functions[0]).includes(fn_type)) return null;
+
+  let cags = [];
+  genomeData.genomes.forEach(genome => {
+    Object.values(genome[1].genes.functions).forEach(fn => {
+      let cag = getCagForType(fn, fn_type);
+      if(cag && !cags.includes(cag)) cags.push(cag);
+    });
+  });
+
+  let out = custom_cag_colors.reduce((out, field, index) => {
+    out[cags[index]] = field;
+    return out;
+  }, {});
+  delete out["undefined"];
+
+  return out;
+}
+
+/*
+ *  [TO BE ADDED TO genomeview/UI.js ... OR potentially 'regular' utils.js]
+ *  @returns target gene's category code for a given functional annotation type.
+ */
+function getCagForType(geneFunctions, fn_type) {
+  switch(fn_type) {
+    case 'COG_CATEGORY':
+      return geneFunctions && geneFunctions[fn_type] ? geneFunctions[fn_type][1][0] : null;
+    case 'KEGG_CATEGORY':
+      // TODO
+      return null;
+    default:
+      let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][1] : null;
+      if(out && out.indexOf(',') != -1) out = out.substr(0,out.indexOf(',')); // take first cag in case of a comma-separated list
+      if(out && out.indexOf(';') != -1) out = out.substr(0,out.indexOf(';')); // or semicolon-separated
+      return out;
+  }
+}
+
+/*
+ *  [TO BE ADDED TO 'regular' utils.js]
+ *  @returns category name corresponding to a given single-character code, for the approporiate functional annotation type
+ */
+function getCagName(category, fn_type) {
+  switch(fn_type) {
+    case 'COG_CATEGORY':
+      return COG_categories[category];
+    case 'KEGG_CATEGORY':
+      return KEGG_categories[category];
+    default:
+      return category;
+  }
+}
 
 function getCategoryForKEGGClass(class_str) {
   if(class_str == null) return null;

From 1200fedb9a3545b3d1d83269e5f3015e25e81c7d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 18:08:25 +0000
Subject: [PATCH 0321/1020] update generate color table

---
 anvio/data/interactive/js/genomeview/ui.js | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 9d98b680f7..f716ab8c5b 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -410,8 +410,9 @@ function changeGenomeOrder(updatedOrder){
   drawer.draw()
 }
 
+
 /*
- *  [TO BE ADDED TO genomeview/UI.js ... OR potentially 'regular' utils.js]
+ *  [TO BE ADDED TO 'regular' utils.js]
  *  Generates functional annotation color table for a given color palette.
  *
  *  @param fn_colors :       dict matching each category to a hex color code to override defaults
@@ -430,8 +431,9 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
   if(filter_to_split && fn_type != 'Source') {
     let save = [];
     for(genome of genomeData.genomes) {
-      for(geneFunctions of Object.entries(genome[1].genes.functions)) {
-        let cag = getCagForType(geneFunctions[1], fn_type);
+      let geneFuns = Object.values(genome[1].genes.functions);
+      for(funs of geneFuns) {
+        let cag = getCagForType(funs, fn_type);
         if(cag && !save.includes(cag)) save.push(cag);
       }
     }

From ba5aab3dc3f712c12288cb68a558931ea790f8fb Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 18:09:40 +0000
Subject: [PATCH 0322/1020] append color row to UI

---
 anvio/data/interactive/js/genomeview/ui.js | 21 +++++++++++++++++++++
 1 file changed, 21 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index f716ab8c5b..5d08970607 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -490,4 +490,25 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
         $(this).colpickSetColor(this.value);
     });
   }
+}
+
+/*
+ *  [TO BE ADDED TO 'regular' utils.js]
+ */
+function appendColorRow(label, cag, color, prepend=false) {
+  let code = cag.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_');
+  var tbody_content =
+   '<tr id="picker_row_' + code + '"> \
+      <td></td> \
+      <td> \
+        <div id="picker_' + code + '" class="colorpicker" color="' + color + '" background-color="' + color + '" style="background-color: ' + color + '; margin-right:16px; margin-left:16px"></div> \
+      </td> \
+      <td>' + label + '</td> \
+    </tr>';
+
+  if(prepend) {
+    $('#tbody_function_colors').prepend(tbody_content);
+  } else {
+    $('#tbody_function_colors').append(tbody_content);
+  }
 }
\ No newline at end of file

From 47bbde8c63954de2bac2db09015368e643ead407 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 31 Aug 2021 18:10:12 +0000
Subject: [PATCH 0323/1020] reset function colors added to UI

---
 anvio/data/interactive/js/genomeview/ui.js | 14 +++++++++++++-
 1 file changed, 13 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 5d08970607..5f97b6b421 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -511,4 +511,16 @@ function appendColorRow(label, cag, color, prepend=false) {
   } else {
     $('#tbody_function_colors').append(tbody_content);
   }
-}
\ No newline at end of file
+}
+
+/*
+ * [TO BE ADDED to genomeview/UI.js OR 'regular' utils.js]
+ * Resets function color table to the default set
+ *
+ * @param fn_colors: If set, resets state to this dictionary instead of the defaults.
+ */
+function resetFunctionColors(fn_colors=null) {
+  // TODO: this should reset color dictionaries in state and then redraw table, once state is implemented
+  if($('#gene_color_order') == null) return;
+  generateColorTable(fn_colors, color_db);
+}

From 32d9bef60be13e91f10b668aa10db463826d9534 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 1 Sep 2021 16:20:40 +0000
Subject: [PATCH 0324/1020] begin to hook state data into settings obj

---
 anvio/data/interactive/js/genomeview/main.js | 21 +++++++++++---------
 1 file changed, 12 insertions(+), 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 7b444ba4e6..0169fc1f7b 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -117,44 +117,47 @@ function serializeSettings() {
 function processState(stateName, stateData) {
   calculateMaxGenomeLength()
   if (stateData.hasOwnProperty('group-layer-order')) {
-    // TODO process
+    settings['group-layer-order'] = stateData['group-layer-order']
   } else {
-    stateData['group-layer-order'] = ['Genome', 'Ruler']
+    settings['group-layer-order'] = ['Genome', 'Ruler']
   }
 
   if (stateData.hasOwnProperty('additional-data-layers')) {
-    // TODO process
+    settings['additional-data-layers'] = stateData['additional-data-layers']
   } else {
     stateData['additional-data-layers'] = []
     generateMockADL()
+    settings['additional-data-layers'] = stateData['additional-data-layers']
   }
 
   // working under the assumption that all genome groups with contain the same additional data layers,
   // we can query the first genome group for specific ADL and go from there
   buildGroupLayersTable('Genome')
+
   if (stateData['additional-data-layers'][0]['ruler']) {
     buildGroupLayersTable('Ruler')
-    // don't increase group size for ruler since it requires less space
   }
   if (stateData['additional-data-layers'][0]['coverage']) {
     buildGroupLayersTable('Coverage')
-    stateData['group-layer-order'].push('Coverage')
+    settings['group-layer-order'].push('Coverage')
     maxGroupSize += 1 // increase group size if coverage layer exists
   }
 
   if (stateData['additional-data-layers'][0]['gcContent']) {
     buildGroupLayersTable('GC_Content')
-    stateData['group-layer-order'].push('GC_Content')
+    settings['group-layer-order'].push('GC_Content')
     maxGroupSize += 1 // increase group size if GC layer exists
   }
 
   if (stateData.hasOwnProperty('genome-order-method')) {
-    stateData['genome-order-method'].forEach(orderMethod => {
+    settings['genome-order-method'] = stateData['genome-order-method']
+    settings['genome-order-method'].forEach(orderMethod => {
       $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
     })
   } else {
     generateMockGenomeOrder()
-    stateData['genome-order-method'].forEach(orderMethod => {
+    settings['genome-order-method'] = stateData['genome-order-method']
+    settings['genome-order-method'].forEach(orderMethod => {
       $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
     })
   }
@@ -222,7 +225,7 @@ function loadAll() {
   // draw();
 
   setEventListeners()
-  settings = Object.assign(settings, genome, stateData)
+  settings = Object.assign(settings, genomeData, stateData)
   drawer = new GenomeDrawer(settings)
   drawer.draw() 
 }
\ No newline at end of file

From 77e52dafffb496e18c668438d9565f587d15553e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 1 Sep 2021 16:24:20 +0000
Subject: [PATCH 0325/1020] additional settings obj setup

---
 anvio/data/interactive/js/genomeview/main.js | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 0169fc1f7b..58d6103358 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -164,19 +164,23 @@ function processState(stateName, stateData) {
 
   if (stateData.hasOwnProperty('display')) {
     // TODO process
+    settings['display'] = stateData['display']
   } else {
     stateData['display'] = {}
     stateData['display']['additionalDataLayers'] = {}
+    settings['display'] = stateData['display']
   }
   if (stateData['display'].hasOwnProperty('bookmarks')) {
-    stateData['display']['bookmarks'].map(bookmark => {
+    settings['display']['bookmarks'] = stateData['bookmarks']
+    settings['display']['bookmarks'].map(bookmark => {
       $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
     })
     respondToBookmarkSelect()
   } else {
     calculateMaxGenomeLength() // remove later, only here to set max length for bookmark
     stateData['display']['bookmarks'] = generateMockBookmarks() // for testing purposes
-    stateData['display']['bookmarks'].map(bookmark => {
+    settings['display']['bookmarks'] = stateData['display']['bookmarks']
+    settings['display']['bookmarks'].map(bookmark => {
       $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
     })
     respondToBookmarkSelect() // set listener for user bookmark selection

From a099db4faec707a24e970ecc8288c0388ba29278 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 1 Sep 2021 16:25:49 +0000
Subject: [PATCH 0326/1020] genome data in settings obj

---
 anvio/data/interactive/js/genomeview/main.js | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 58d6103358..4f13e8a287 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -81,7 +81,8 @@ function initData() {
       console.log(data);
 
       let genomes = Object.entries(genomeData.genomes) // an array of 2d arrays, where each genome[0] is the object key, and genome[1] is the value
-      genomeData.genomes = genomes
+      genomeData.genomes = genomes // this will be phased out for settings obj below
+      settings['genomeData'] = genomes
     }
   });
 }

From f9ee3ea5e31d35b14b4695998387208cd74e3082 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 1 Sep 2021 16:27:57 +0000
Subject: [PATCH 0327/1020] hook in settings genome obj

---
 anvio/data/interactive/js/genomeview/main.js | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 4f13e8a287..8aecd297f9 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -82,7 +82,7 @@ function initData() {
 
       let genomes = Object.entries(genomeData.genomes) // an array of 2d arrays, where each genome[0] is the object key, and genome[1] is the value
       genomeData.genomes = genomes // this will be phased out for settings obj below
-      settings['genomeData'] = genomes
+      settings['genomeData']['genomes'] = genomes
     }
   });
 }
@@ -189,13 +189,13 @@ function processState(stateName, stateData) {
 }
 
 function loadAll() {
-  buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
+  buildGenomesTable(settings['genomeData']['genomes'], 'alphabetical') // hardcode order method until backend order data is hooked in
   canvas = new fabric.Canvas('myCanvas');
   canvas.setWidth(VIEWER_WIDTH * 0.85);
 
   $('.container').css({ 'height': VIEWER_HEIGHT + 'px', 'overflow-y': 'auto' })
   xDisplacement = showLabels ? 120 : 0;
-  for (genome of genomeData.genomes) {
+  for (genome of settings['genomeData']['genomes']) {
     xDisps[genome[0]] = xDisplacement;
   }
 

From 067b91a8a7226726bd2130d4bffbee813caf0d4e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 1 Sep 2021 16:28:55 +0000
Subject: [PATCH 0328/1020] deprecated

---
 anvio/data/interactive/js/genomeview/main.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 8aecd297f9..c956538e56 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -230,7 +230,6 @@ function loadAll() {
   // draw();
 
   setEventListeners()
-  settings = Object.assign(settings, genomeData, stateData)
   drawer = new GenomeDrawer(settings)
   drawer.draw() 
 }
\ No newline at end of file

From dec8d3c0d0086632ca0ceb08ae07428db388762d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 1 Sep 2021 16:49:10 +0000
Subject: [PATCH 0329/1020] refactor drawer class method calls

---
 anvio/data/interactive/js/genomeview/ui.js | 19 +++++++++----------
 1 file changed, 9 insertions(+), 10 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 5f97b6b421..26cce38975 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -67,8 +67,7 @@ function setEventListeners(){
       bindViewportToWindow();
       updateScalePos(); // adjust scale box to new sequence breadth
       updateRenderWindow();
-
-      GenomeDrawer.redrawSingleGenome(opt.target.groupID);
+      drawer.redrawSingleGenome(opt.target.groupID);
     }
   });
   canvas.on('object:moving', function (opt) {
@@ -77,7 +76,7 @@ function setEventListeners(){
 
     if (opt.target.id == 'genomeLine' || (opt.target.id == 'arrow' && arrowStyle == 3)) canvas.sendBackwards(opt.target);
     if (this.shades) {
-      clearShades();
+      drawer.clearShades();
       this.shades = false;
     }
 
@@ -115,7 +114,7 @@ function setEventListeners(){
 
   $('#alignClusterInput').on('keydown', function (e) {
     if (e.keyCode == 13) { // 13 = enter key
-      alignToCluster($(this).val());
+      drawer.alignToCluster($(this).val());
       $(this).blur();
     }
   });
@@ -132,25 +131,25 @@ function setEventListeners(){
   });
   $('#genome_spacing').on('keydown', function (e) {
     if (e.keyCode == 13) { // 13 = enter key
-      setGenomeSpacing($(this).val());
+      drawer.setGenomeSpacing($(this).val());
       $(this).blur();
     }
   });
   $('#gene_label').on('keydown', function (e) {
     if (e.keyCode == 13) { // 13 = enter key
-      setGeneLabelSize($(this).val());
+      drawer.setGeneLabelSize($(this).val());
       $(this).blur();
     }
   });
   $('#genome_label').on('keydown', function (e) {
     if (e.keyCode == 13) { // 13 = enter key
-      setGenomeLabelSize($(this).val());
+      drawer.setGenomeLabelSize($(this).val());
       $(this).blur();
     }
   });
   $('#genome_scale_interval').on('keydown', function (e) {
     if (e.keyCode == 13) { // 13 = enter key
-      setScaleInterval($(this).val());
+      drawer.setScaleInterval($(this).val());
       $(this).blur();
     }
   });
@@ -158,7 +157,7 @@ function setEventListeners(){
     color_db = $(this).val();
     generateColorTable(null, color_db); // TODO: include highlight_genes, fn_colors etc from state
     // draw();
-    drawer,draw()
+    drawer.draw()
     $(this).blur();
   });
   $('#arrow_style').on('change', function () {
@@ -188,7 +187,7 @@ function setEventListeners(){
     dynamicScaleInterval = !dynamicScaleInterval;
   });
   $('#adl_pts_per_layer').on('change', function () {
-    setPtsPerADL($(this).val());
+    drawer.setPtsPerADL($(this).val());
     $(this).blur();
   });
   $('#brush_start, #brush_end').keydown(function (ev) {

From 40e59798b463501f1c5ca0c26fb0bbbaa57a2dac Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 1 Sep 2021 16:50:40 +0000
Subject: [PATCH 0330/1020] hook in settings obj

---
 anvio/data/interactive/js/genomeview/ui.js | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 26cce38975..50f45c9c78 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -334,10 +334,10 @@ function toggleAdditionalDataLayer(e){
   let layer = e.target.id.split('-')[0]
 
   if(e.target.checked){
-    stateData['display']['additionalDataLayers'][layer] = true
+    settings['display']['additionalDataLayers'][layer] = true
     maxGroupSize += 1
   } else {
-    stateData['display']['additionalDataLayers'][layer] = false
+    settings['display']['additionalDataLayers'][layer] = false
     maxGroupSize -= 1 // decrease group height if hiding the layer
   }
   // draw()
@@ -353,7 +353,7 @@ function createBookmark(){
     return
   }
   try {
-    stateData['display']['bookmarks'].push(
+    settings['display']['bookmarks'].push(
       {
         name : $('#create_bookmark_input').val(),
         start : $('#brush_start').val(),
@@ -378,7 +378,7 @@ function respondToBookmarkSelect(){
     brush.extent([start, stop]);
         brush(d3.select(".brush").transition());
         brush.event(d3.select(".brush").transition());
-    let selectedBookmark = stateData['display']['bookmarks'].find(bookmark => bookmark.start == start && bookmark.stop == stop)
+    let selectedBookmark = settings['display']['bookmarks'].find(bookmark => bookmark.start == start && bookmark.stop == stop)
     $('#bookmark-description').text(selectedBookmark['description'])
   })
 }
@@ -387,7 +387,7 @@ function respondToBookmarkSelect(){
  *  respond to ui, redraw with updated group layer order
  */
 function changeGroupLayersOrder(updatedOrder){
-  stateData['group-layer-order'] = updatedOrder
+  settings['group-layer-order'] = updatedOrder
   // draw()
   drawer.draw()
 }

From afce47ca93051ce1be0c8cc8bc372388eb636302 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 1 Sep 2021 16:52:21 +0000
Subject: [PATCH 0331/1020] hook in settings obj

---
 anvio/data/interactive/js/genomeview/ui.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 50f45c9c78..39897e0b60 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -398,13 +398,13 @@ function changeGroupLayersOrder(updatedOrder){
 function changeGenomeOrder(updatedOrder){
   let newGenomeOrder = []
   updatedOrder.map(label => {
-    genomeData.genomes.map(genome => {
+    settings['genomeData']['genomes'].map(genome => {
         if(label == Object.keys(genome[1]['contigs']['info'])[0]){ // matching label text to first contig name of each genome
           newGenomeOrder.push(genome)
         }
     })
   })
-  genomeData.genomes = newGenomeOrder
+  settings['genomeData']['genomes'] = newGenomeOrder
   // draw()
   drawer.draw()
 }

From 44ed1b4f830bbc2fa63ed70fa4e587c402c53a5d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 1 Sep 2021 16:53:52 +0000
Subject: [PATCH 0332/1020] hook in settings obj part 1 billion

---
 anvio/data/interactive/js/genomeview/ui.js | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 39897e0b60..a969d671b1 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -429,7 +429,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
 
   if(filter_to_split && fn_type != 'Source') {
     let save = [];
-    for(genome of genomeData.genomes) {
+    for(genome of settings['genomeData']['genomes']) {
       let geneFuns = Object.values(genome[1].genes.functions);
       for(funs of geneFuns) {
         let cag = getCagForType(funs, fn_type);
@@ -460,7 +460,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
   });
 
   if(highlight_genes) {
-    let genomes = Object.entries(genomeData.genomes).map(g => g[1][0]);
+    let genomes = Object.entries(settings['genomeData']['genomes']).map(g => g[1][0]);
     for(entry of highlight_genes) {
       let genomeID = entry['genomeID'];
       let geneID = entry['geneID'];
@@ -468,8 +468,8 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
 
       if(!genomes.includes(genomeID)) continue;
 
-      let ind = genomeData.genomes.findIndex(g => g[0] == genomeID);
-      let genes = Object.keys(genomeData.genomes[ind][1].genes.gene_calls);
+      let ind = settings['genomeData']['genomes'].findIndex(g => g[0] == genomeID);
+      let genes = Object.keys(settings['genomeData']['genomes'][ind][1].genes.gene_calls);
       if(!(geneID in genes)) continue;
 
       let label = 'Genome: ' + genomeID + ', Gene: ' + geneID;

From b69731cb914e86276206363e814a829bf546b49e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 2 Sep 2021 14:56:09 +0000
Subject: [PATCH 0333/1020] hook in settings obj

---
 anvio/data/interactive/js/genomeview/utils.js | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 41b3e95594..51ebac98c4 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -42,7 +42,7 @@ var fixHelperModified = function(e, tr) {
  */
 function calculateMainCanvasHeight(){
   let additionalSpacing = 100 // arbitrary additional spacing for cosmetics
-      let mainCanvasHeight =  spacing * genomeData.genomes.length + additionalSpacing
+      let mainCanvasHeight =  spacing * settings['genomeData']['genomes'].length + additionalSpacing
   return mainCanvasHeight
 }
 
@@ -64,7 +64,7 @@ function getGenePosForGenome(genomeID, gc) {
   var targetGenes = getGenesOfGC(genomeID, gc);
   if(targetGenes == null) return null;
 
-  let genome = genomeData.genomes.find(g => g[0] == genomeID);
+  let genome = settings['genomeData']['genomes'].find(g => g[0] == genomeID);
   let mids = [];
   for(geneID of targetGenes) {
     let gene = genome[1].genes.gene_calls[geneID];
@@ -78,7 +78,7 @@ function getGenePosForGenome(genomeID, gc) {
  *  @returns array of geneIDs in a given genome with a specified gene cluster
  */
 function getGenesOfGC(genomeID, gc) {
-  var targetGenes = genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID];
+  var targetGenes = settings['genomeData']['gene_associations']["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID];
   return targetGenes.length > 0 ? targetGenes : null;
 }
 

From d3a739124afe15904a5f4beae8d251486acfebca Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 2 Sep 2021 14:57:31 +0000
Subject: [PATCH 0334/1020] settings obj

---
 anvio/data/interactive/js/genomeview/test.js | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/test.js b/anvio/data/interactive/js/genomeview/test.js
index 9db9d08c02..0f69c07611 100644
--- a/anvio/data/interactive/js/genomeview/test.js
+++ b/anvio/data/interactive/js/genomeview/test.js
@@ -28,14 +28,14 @@ function drawTestShades() {
 }
 
 function generateMockADL() {
-  for (let i = 0; i < genomeData.genomes.length; i++) { // generate mock additional data layer content
+  for (let i = 0; i < settings['genomeData']['genomes'].length; i++) { // generate mock additional data layer content
     let gcContent = []
     let coverage = []
     for (let j = 0; j < genomeMax; j++) {
       gcContent.push(Math.floor(Math.random() * 45))
       coverage.push(Math.floor(Math.random() * 45))
     }
-    let genomeLabel = Object.keys(genomeData.genomes[i][1]['contigs']['info'])[0];
+    let genomeLabel = Object.keys(settings['genomeData']['genomes'][i][1]['contigs']['info'])[0];
     let additionalDataObject = {
       'genome': genomeLabel,
       'coverage': coverage,
@@ -44,11 +44,11 @@ function generateMockADL() {
       'gcContent-color': 'purple',
       'ruler': true // TODO: store any genome-specific scale data here
     }
-    stateData['additional-data-layers'].push(additionalDataObject)
+    settings['additional-data-layers'].push(additionalDataObject)
   }
 }
 function generateMockGenomeOrder() {
-  stateData['genome-order-method'] = [{
+  settings['genome-order-method'] = [{
     'name': 'cats',
     'ordering': 'some order'
   }, {

From 8312f382b6501ef159cd9f1ff6ff3c9cb9782462 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 2 Sep 2021 15:12:39 +0000
Subject: [PATCH 0335/1020] hook settings obj into drawer class methods

---
 anvio/data/interactive/js/genomeview/drawer.js | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index c82e9158c4..f5efd439b8 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -31,7 +31,7 @@ GenomeDrawer.prototype.draw = function(){
   labelSpacing = 30 // reset to default value upon each draw() call
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
 
-  genomeData['genomes'].map((genome, idx) => {
+  settings['genomeData']['genomes'].map((genome, idx) => {
     this.addGenome(idx)
     this.addLayers(idx)
     labelSpacing += 30
@@ -42,7 +42,7 @@ GenomeDrawer.prototype.draw = function(){
 }
 
 GenomeDrawer.prototype.addGenome = function(orderIndex){
-  let genome = genomeData.genomes[orderIndex];
+  let genome = settings['genomeData']['genomes'][orderIndex];
   let gene_list = genome[1].genes.gene_calls;
   let genomeLabel = gene_list[0].contig;
   let genomeID = genome[0];
@@ -76,7 +76,7 @@ GenomeDrawer.prototype.addGenome = function(orderIndex){
     let [ntStart, ntStop] = getRenderNTRange(genomeID);
     if(gene.start < ntStart) continue;
     if(gene.stop > ntStop) return;
-    var geneObj = geneArrow(gene,geneID,y,genomeID,arrowStyle);
+    var geneObj = this.geneArrow(gene,geneID,y,genomeID,arrowStyle);
     canvas.add(geneObj);
 
     if(showGeneLabels) {
@@ -115,11 +115,11 @@ GenomeDrawer.prototype.addGenome = function(orderIndex){
  */
 GenomeDrawer.prototype.addLayers = function(orderIndex){
   yOffset = orderIndex * spacing;
-  let genomeID = genomeData.genomes[orderIndex][0];
-  let genome = genomeData.genomes[orderIndex][1];
+  let genomeID = settings['genomeData']['genomes'][orderIndex][0];
+  let genome = settings['genomeData']['genomes'][orderIndex][1];
   let label = genome.genes.gene_calls[0].contig;
 
-  let additionalDataLayers = stateData['additional-data-layers'].find(group => group.genome == label)
+  let additionalDataLayers = settings['additional-data-layers'].find(group => group.genome == label)
   let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
 
   stateData['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array

From 7c050f965a546ff99301f5d86cd30f5a0a6903e2 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 2 Sep 2021 15:18:17 +0000
Subject: [PATCH 0336/1020] settings obj, drawer class minor refactoring

---
 .../data/interactive/js/genomeview/drawer.js  | 30 +++++++++----------
 1 file changed, 15 insertions(+), 15 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index f5efd439b8..27a6ab47cb 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -122,7 +122,7 @@ GenomeDrawer.prototype.addLayers = function(orderIndex){
   let additionalDataLayers = settings['additional-data-layers'].find(group => group.genome == label)
   let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
 
-  stateData['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
+  settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
     let layerPos = [spacing / maxGroupSize] * idx
 
     if(layer == 'Ruler' && additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
@@ -234,7 +234,7 @@ GenomeDrawer.prototype.addBackgroundShade = function(top, left, width, height, o
   orderIndex % 2 == 0 ? backgroundShade = '#b8b8b8' : backgroundShade = '#f5f5f5'
 
   let background = new fabric.Rect({
-    groupID: genomeData.genomes[orderIndex][0],
+    groupID: settings['genomeData']['genomes'][orderIndex][0],
     top: top,
     left: left,
     width: width,
@@ -248,8 +248,8 @@ GenomeDrawer.prototype.addBackgroundShade = function(top, left, width, height, o
 }
 
 GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
-  let ind = genomeData.genomes.findIndex(g => g[0] == genomeID);
-  let functions = genomeData.genomes[ind][1].genes.functions[geneID];
+  let ind = settings['genomeData']['genomes'].findIndex(g => g[0] == genomeID);
+  let functions = settings['genomeData']['genomes'][ind][1].genes.functions[geneID];
 
   let color = 'gray';
   let cag = functions && functions[color_db] ? functions[color_db][1][0] : null;
@@ -329,10 +329,10 @@ GenomeDrawer.prototype.shadeGeneClusters = function(geneClusters, colors){
 
   let y = marginTop;
   for(var i = 0; i < genomeData.genomes.length-1; i++) {
-    let genomeA = genomeData.genomes[i][1].genes.gene_calls;
-    let genomeB = genomeData.genomes[i+1][1].genes.gene_calls;
-    let genomeID_A = genomeData.genomes[i][0];
-    let genomeID_B = genomeData.genomes[i+1][0];
+    let genomeA = settings['genomeData']['genomes'][i][1].genes.gene_calls;
+    let genomeB = settings['genomeData']['genomes'][i+1][1].genes.gene_calls;
+    let genomeID_A = settings['genomeData']['genomes'][i][0];
+    let genomeID_B = settings['genomeData']['genomes'][i+1][0];
     let [l1,r1] = getRenderNTRange(genomeID_A);
     let [l2,r2] = getRenderNTRange(genomeID_B);
 
@@ -406,15 +406,15 @@ GenomeDrawer.prototype.glowGenes = function(geneParams){
  *  @param gc : target gene cluster ID
  */
 GenomeDrawer.prototype.alignToCluster = function(gc){
-  if(!genomeData.gene_associations["anvio-pangenome"]) return;
+  if(!settings['genomeData']['gene_associations']["anvio-pangenome"]) return;
 
   let targetGeneInfo = viewCluster(gc);
   if(targetGeneInfo == null) return;
   let [firstGenomeID, targetGeneMid] = targetGeneInfo;
   if(firstGenomeID != null) {
     alignToGC = gc;
-    let index = genomeData.genomes.findIndex(g => g[0] == firstGenomeID);
-    for(var i = index+1; i < genomeData.genomes.length; i++) {
+    let index = settings['genomeData']['genomes'].findIndex(g => g[0] == firstGenomeID);
+    for(var i = index+1; i < settings['genomeData']['genomes'].length; i++) {
       let gid = genomeData.genomes[i][0];
       let geneMids = getGenePosForGenome(genomeData.genomes[i][0], alignToGC);
       if(geneMids == null) continue;
@@ -447,16 +447,16 @@ GenomeDrawer.prototype.setPtsPerADL = function (){
     return;
   }
   adlPtsPerLayer = newResolution;
-  draw();
+  this.draw();
 }
 
 GenomeDrawer.prototype.showAllADLPts = function(){
-  setPtsPerADL(genomeMax);
+  this.setPtsPerADL(genomeMax);
   $('#showAllADLPtsBtn').blur();
 }
 
 GenomeDrawer.prototype.alignRulers = function(){
-  for(genome of genomeData.genomes) {
+  for(genome of settings['genomeData']['genomes']) {
     xDisps[genome[0]] = xDisplacement;
   }
   percentScale = false;
@@ -464,7 +464,7 @@ GenomeDrawer.prototype.alignRulers = function(){
   bindViewportToWindow();
   updateScalePos();
   updateRenderWindow();
-  draw();
+  this.draw();
   $('#alignRulerBtn').blur();
 }
 

From 83560835a284d0694b074d6b570b3ea80e302397 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 2 Sep 2021 15:19:24 +0000
Subject: [PATCH 0337/1020] drawer class minor refactor

---
 anvio/data/interactive/js/genomeview/drawer.js | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 27a6ab47cb..6b6f065817 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -476,7 +476,7 @@ GenomeDrawer.prototype.setGenomeSpacing = function(){
     return;
   }
   spacing = newSpacing;
-  draw();
+  this.draw();
 }
 
 GenomeDrawer.prototype.setScaleInterval = function(newScale){
@@ -487,7 +487,7 @@ GenomeDrawer.prototype.setScaleInterval = function(newScale){
     return;
   }
   scaleInterval = newScale;
-  draw();
+  this.draw();
 }
 
 GenomeDrawer.prototype.setGeneLabelSize = function(newSize){
@@ -498,7 +498,7 @@ GenomeDrawer.prototype.setGeneLabelSize = function(newSize){
     return;
   }
   geneLabelSize = newSize;
-  if(showGeneLabels) draw();
+  if(showGeneLabels) this.draw();
 }
 
 GenomeDrawer.prototype.setGenomeLabelSize = function(newSize){
@@ -509,14 +509,14 @@ GenomeDrawer.prototype.setGenomeLabelSize = function(newSize){
     return;
   }
   genomeLabelSize = newSize;
-  if(showLabels) draw();
+  if(showLabels) this.draw();
 }
 
 GenomeDrawer.prototype.redrawSingleGenome = function(genomeID){
   canvas.getObjects().filter(o => o.groupID == genomeID).forEach(obj => canvas.remove(obj));
-  let idx = genomeData.genomes.findIndex(obj => obj[0] == genomeID);
-  addGenome(idx);
-  addLayers(idx);
+  let idx = settings['genomeData']['genomes'].findIndex(obj => obj[0] == genomeID);
+  this.addGenome(idx);
+  this.addLayers(idx);
   checkGeneLabels();
 }
 

From 3a6dcefb5d10798d52bfe111918b690976e22a11 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 2 Sep 2021 15:29:05 +0000
Subject: [PATCH 0338/1020] minor refactor / bug fix

---
 anvio/data/interactive/js/genomeview/main.js | 11 +++++------
 1 file changed, 5 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index c956538e56..41fb2f47fa 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -82,6 +82,7 @@ function initData() {
 
       let genomes = Object.entries(genomeData.genomes) // an array of 2d arrays, where each genome[0] is the object key, and genome[1] is the value
       genomeData.genomes = genomes // this will be phased out for settings obj below
+      settings['genomeData'] = genomeData
       settings['genomeData']['genomes'] = genomes
     }
   });
@@ -126,25 +127,24 @@ function processState(stateName, stateData) {
   if (stateData.hasOwnProperty('additional-data-layers')) {
     settings['additional-data-layers'] = stateData['additional-data-layers']
   } else {
-    stateData['additional-data-layers'] = []
+    settings['additional-data-layers'] = []
     generateMockADL()
-    settings['additional-data-layers'] = stateData['additional-data-layers']
   }
 
   // working under the assumption that all genome groups with contain the same additional data layers,
   // we can query the first genome group for specific ADL and go from there
   buildGroupLayersTable('Genome')
 
-  if (stateData['additional-data-layers'][0]['ruler']) {
+  if (stateData.hasOwnProperty(['additional-data-layers'][0]['ruler'])) {
     buildGroupLayersTable('Ruler')
   }
-  if (stateData['additional-data-layers'][0]['coverage']) {
+  if (stateData.hasOwnProperty(['additional-data-layers'][0]['coverage'])) {
     buildGroupLayersTable('Coverage')
     settings['group-layer-order'].push('Coverage')
     maxGroupSize += 1 // increase group size if coverage layer exists
   }
 
-  if (stateData['additional-data-layers'][0]['gcContent']) {
+  if (stateData.hasOwnProperty(['additional-data-layers'][0]['gcContent'])) {
     buildGroupLayersTable('GC_Content')
     settings['group-layer-order'].push('GC_Content')
     maxGroupSize += 1 // increase group size if GC layer exists
@@ -157,7 +157,6 @@ function processState(stateName, stateData) {
     })
   } else {
     generateMockGenomeOrder()
-    settings['genome-order-method'] = stateData['genome-order-method']
     settings['genome-order-method'].forEach(orderMethod => {
       $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
     })

From e05e56b67d6ae4a2f2ad3f2cdac0215a32f17dd2 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 2 Sep 2021 15:31:06 +0000
Subject: [PATCH 0339/1020] fix

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 anvio/data/interactive/js/genomeview/test.js   | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 6b6f065817..ab0bbfaaf3 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -37,8 +37,8 @@ GenomeDrawer.prototype.draw = function(){
     labelSpacing += 30
   })
 
-  this.checkGeneLabels();
-  this.drawTestShades();
+  checkGeneLabels();
+  drawTestShades();
 }
 
 GenomeDrawer.prototype.addGenome = function(orderIndex){
diff --git a/anvio/data/interactive/js/genomeview/test.js b/anvio/data/interactive/js/genomeview/test.js
index 0f69c07611..118b9d15de 100644
--- a/anvio/data/interactive/js/genomeview/test.js
+++ b/anvio/data/interactive/js/genomeview/test.js
@@ -24,7 +24,7 @@
  */
 
 function drawTestShades() {
-  shadeGeneClusters(["GC_00000034", "GC_00000097", "GC_00000002"], { "GC_00000034": "green", "GC_00000097": "red", "GC_00000002": "purple" });
+  drawer.shadeGeneClusters(["GC_00000034", "GC_00000097", "GC_00000002"], { "GC_00000034": "green", "GC_00000097": "red", "GC_00000002": "purple" });
 }
 
 function generateMockADL() {

From cd461fd23f2ffe9e6955a911b4e57743726f1957 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 2 Sep 2021 15:33:43 +0000
Subject: [PATCH 0340/1020] fix

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index ab0bbfaaf3..acc908ad40 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -468,7 +468,7 @@ GenomeDrawer.prototype.alignRulers = function(){
   $('#alignRulerBtn').blur();
 }
 
-GenomeDrawer.prototype.setGenomeSpacing = function(){
+GenomeDrawer.prototype.setGenomeSpacing = function(newSpacing){
   if(isNaN(newSpacing)) return;
   newSpacing = parseInt(newSpacing);
   if(newSpacing < 0 || newSpacing > 1000) {

From 7fb00a4018f71bad56ef3273e0d4f4e010033161 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 2 Sep 2021 15:33:54 +0000
Subject: [PATCH 0341/1020] fix

---
 anvio/data/interactive/js/genomeview/navigation.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 241c3ea3e8..e7f6051d2a 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -139,7 +139,7 @@ function drawScale() {
       scaleFactor = percentScale ? canvas.getWidth()/(ntsToShow*genomeMax) : canvas.getWidth()/ntsToShow;
       updateRenderWindow();
 
-      if(dynamicScaleInterval) adjustScaleInterval();
+      if(dynamicScaleInterval) drawer.adjustScaleInterval();
 
       // draw();
       drawer.draw()

From 145ceaeb4a29838544aaab403511264aa6f74474 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 2 Sep 2021 15:51:05 +0000
Subject: [PATCH 0342/1020] minor fix/refactor

---
 anvio/data/interactive/js/genomeview/drawer.js |  2 +-
 anvio/data/interactive/js/genomeview/main.js   | 11 ++++++-----
 2 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index acc908ad40..359f4c3da0 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -183,7 +183,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genom
 /*
  *  Generate individual genome group rulers
  */
-GenomeDrawer.prototype.buildGroupRulerLayer = function(){
+GenomeDrawer.prototype.buildGroupRulerLayer = function(genomeID, layerPos, orderIndex){
   let startingTop = marginTop + yOffset + layerPos
   let startingLeft = xDisps[genomeID]
   let layerHeight = spacing / maxGroupSize
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 41fb2f47fa..e970310d6d 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -134,17 +134,17 @@ function processState(stateName, stateData) {
   // working under the assumption that all genome groups with contain the same additional data layers,
   // we can query the first genome group for specific ADL and go from there
   buildGroupLayersTable('Genome')
-
-  if (stateData.hasOwnProperty(['additional-data-layers'][0]['ruler'])) {
+  if (settings['additional-data-layers'][0]['ruler']) {
     buildGroupLayersTable('Ruler')
-  }
-  if (stateData.hasOwnProperty(['additional-data-layers'][0]['coverage'])) {
+  } 
+
+  if (settings['additional-data-layers'][0]['coverage']) {
     buildGroupLayersTable('Coverage')
     settings['group-layer-order'].push('Coverage')
     maxGroupSize += 1 // increase group size if coverage layer exists
   }
 
-  if (stateData.hasOwnProperty(['additional-data-layers'][0]['gcContent'])) {
+  if (settings['additional-data-layers'][0]['gcContent']) {
     buildGroupLayersTable('GC_Content')
     settings['group-layer-order'].push('GC_Content')
     maxGroupSize += 1 // increase group size if GC layer exists
@@ -229,6 +229,7 @@ function loadAll() {
   // draw();
 
   setEventListeners()
+  console.log('Sending this data obj to GenomeDrawer', settings)
   drawer = new GenomeDrawer(settings)
   drawer.draw() 
 }
\ No newline at end of file

From 2cf3ba1be179aca219bc5b7043d70a3aceb736dd Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 2 Sep 2021 15:51:26 +0000
Subject: [PATCH 0343/1020] genomeview.js is DEPRECATED :D

---
 anvio/data/interactive/genomeview.html | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 53011275a0..d4b57be727 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -25,7 +25,6 @@
         <script type="text/javascript" src="lib/jquery-ui/ui/position.js"></script>
         <script type="text/javascript" src="lib/colpick/colpick.js"></script>
         <script type="text/javascript" src="./js/constants.js"></script>
-        <script type="text/javascript" src="./js/genomeview.js"></script>
         <script type="text/javascript" src="./js/genomeview/main.js"></script>
         <script type="text/javascript" src="./js/genomeview/drawer.js"></script>
         <script type="text/javascript" src="./js/genomeview/navigation.js"></script>

From ed5d4e2507a0f2791a9eb74fc37c3e15819464ce Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 2 Sep 2021 15:54:57 +0000
Subject: [PATCH 0344/1020] formatting global var

---
 anvio/data/interactive/js/genomeview/main.js | 67 +++++++++-----------
 1 file changed, 31 insertions(+), 36 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index e970310d6d..00a288b3bf 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -23,44 +23,39 @@
  * genomeview modules to build out UI and render visualizations. Generally speaking, this file should stay pretty lean and purpose-driven.  
  */
 
- var VIEWER_WIDTH = window.innerWidth || document.documentElement.clientWidth || document.getElementsByTagName('body')[0].clientWidth;
- var VIEWER_HEIGHT = window.innerHeight || document.documentElement.clientHeight || document.getElementsByTagName('body')[0].clientHeight;
-
- var canvas;
- var genomeLabelsCanvas;
- var genomeMax = 0;
-
- var stateData = {};
- var settings = {} // packaged obj sent off to GenomeDrawer
- var mainCanvasHeight;
- var spacing = 50; // vertical spacing between genomes
- var yOffset = 0 // vertical space between additional data layers
- var marginTop = 20; // vertical margin at the top of the genome display
- var xDisplacement = 0; // x-offset of genome start, activated if genome labels are shown
- var showLabels = true; // show genome labels?
- var genomeLabelSize = 15; // font size of genome labels
- var showGeneLabels = true; // show gene labels?
- var geneLabelSize = 40; // gene label font size
- var geneLabelPos = "above"; // gene label position; one of "above", "slanted", "inside"
- var labelSpacing = 30;  // spacing default for genomeLabel canvas
- var scaleInterval = 100; // nt scale intervals
- var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
- var adlPtsPerLayer = 10000; // number of data points to be subsampled per ADL. TODO: more meaningful default?
- var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
- var maxGroupSize = 2 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer + group ruler.
- let percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
- var renderWindow = [];
- var brush;
- var drawer 
-
- var alignToGC = null;
-
- var arrowStyle = 1; // gene arrow cosmetics. 1 (default) = 'inspect-page', 2 = thicker arrows, 3 = pentagon, 4 = rect
-
- var color_db;
+var VIEWER_WIDTH = window.innerWidth || document.documentElement.clientWidth || document.getElementsByTagName('body')[0].clientWidth;
+var VIEWER_HEIGHT = window.innerHeight || document.documentElement.clientHeight || document.getElementsByTagName('body')[0].clientHeight;
 
-var genomeData;
+var alignToGC = null;
+var stateData = {};
+var settings = {} // packaged obj sent off to GenomeDrawer
 var xDisps = {};
+var renderWindow = [];
+var genomeMax = 0;
+var yOffset = 0 // vertical space between additional data layers
+var xDisplacement = 0; // x-offset of genome start, activated if genome labels are shown
+var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
+var arrowStyle = 1; // gene arrow cosmetics. 1 (default) = 'inspect-page', 2 = thicker arrows, 3 = pentagon, 4 = rect
+var maxGroupSize = 2 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer + group ruler.
+var genomeLabelSize = 15; // font size of genome labels
+var marginTop = 20; // vertical margin at the top of the genome display
+var labelSpacing = 30;  // spacing default for genomeLabel canvas
+var geneLabelSize = 40; // gene label font size
+var spacing = 50; // vertical spacing between genomes
+var scaleInterval = 100; // nt scale intervals
+var adlPtsPerLayer = 10000; // number of data points to be subsampled per ADL. TODO: more meaningful default?
+var showLabels = true; // show genome labels?
+var showGeneLabels = true; // show gene labels?
+var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
+let percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
+var geneLabelPos = "above"; // gene label position; one of "above", "slanted", "inside"
+var mainCanvasHeight;
+var canvas;
+var genomeLabelsCanvas;
+var brush;
+var drawer 
+var color_db;
+var genomeData;
 
 $(document).ready(function () {
   initData();

From b481228b3aaf7a6f055873e305b870f7f4222cdb Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 2 Sep 2021 16:14:35 +0000
Subject: [PATCH 0345/1020] use settings obj passed to drawer

---
 .../data/interactive/js/genomeview/drawer.js  | 34 +++++++++----------
 1 file changed, 17 insertions(+), 17 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 359f4c3da0..42d389e7fa 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -42,7 +42,7 @@ GenomeDrawer.prototype.draw = function(){
 }
 
 GenomeDrawer.prototype.addGenome = function(orderIndex){
-  let genome = settings['genomeData']['genomes'][orderIndex];
+  let genome = this.settings['genomeData']['genomes'][orderIndex];
   let gene_list = genome[1].genes.gene_calls;
   let genomeLabel = gene_list[0].contig;
   let genomeID = genome[0];
@@ -115,14 +115,14 @@ GenomeDrawer.prototype.addGenome = function(orderIndex){
  */
 GenomeDrawer.prototype.addLayers = function(orderIndex){
   yOffset = orderIndex * spacing;
-  let genomeID = settings['genomeData']['genomes'][orderIndex][0];
-  let genome = settings['genomeData']['genomes'][orderIndex][1];
+  let genomeID = this.settings['genomeData']['genomes'][orderIndex][0];
+  let genome = this.settings['genomeData']['genomes'][orderIndex][1];
   let label = genome.genes.gene_calls[0].contig;
 
-  let additionalDataLayers = settings['additional-data-layers'].find(group => group.genome == label)
+  let additionalDataLayers = this.settings['additional-data-layers'].find(group => group.genome == label)
   let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
 
-  settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
+  this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
     let layerPos = [spacing / maxGroupSize] * idx
 
     if(layer == 'Ruler' && additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
@@ -234,7 +234,7 @@ GenomeDrawer.prototype.addBackgroundShade = function(top, left, width, height, o
   orderIndex % 2 == 0 ? backgroundShade = '#b8b8b8' : backgroundShade = '#f5f5f5'
 
   let background = new fabric.Rect({
-    groupID: settings['genomeData']['genomes'][orderIndex][0],
+    groupID: this.settings['genomeData']['genomes'][orderIndex][0],
     top: top,
     left: left,
     width: width,
@@ -248,8 +248,8 @@ GenomeDrawer.prototype.addBackgroundShade = function(top, left, width, height, o
 }
 
 GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
-  let ind = settings['genomeData']['genomes'].findIndex(g => g[0] == genomeID);
-  let functions = settings['genomeData']['genomes'][ind][1].genes.functions[geneID];
+  let ind = this.settings['genomeData']['genomes'].findIndex(g => g[0] == genomeID);
+  let functions = this.settings['genomeData']['genomes'][ind][1].genes.functions[geneID];
 
   let color = 'gray';
   let cag = functions && functions[color_db] ? functions[color_db][1][0] : null;
@@ -329,10 +329,10 @@ GenomeDrawer.prototype.shadeGeneClusters = function(geneClusters, colors){
 
   let y = marginTop;
   for(var i = 0; i < genomeData.genomes.length-1; i++) {
-    let genomeA = settings['genomeData']['genomes'][i][1].genes.gene_calls;
-    let genomeB = settings['genomeData']['genomes'][i+1][1].genes.gene_calls;
-    let genomeID_A = settings['genomeData']['genomes'][i][0];
-    let genomeID_B = settings['genomeData']['genomes'][i+1][0];
+    let genomeA = this.settings['genomeData']['genomes'][i][1].genes.gene_calls;
+    let genomeB = this.settings['genomeData']['genomes'][i+1][1].genes.gene_calls;
+    let genomeID_A = this.settings['genomeData']['genomes'][i][0];
+    let genomeID_B = this.settings['genomeData']['genomes'][i+1][0];
     let [l1,r1] = getRenderNTRange(genomeID_A);
     let [l2,r2] = getRenderNTRange(genomeID_B);
 
@@ -406,15 +406,15 @@ GenomeDrawer.prototype.glowGenes = function(geneParams){
  *  @param gc : target gene cluster ID
  */
 GenomeDrawer.prototype.alignToCluster = function(gc){
-  if(!settings['genomeData']['gene_associations']["anvio-pangenome"]) return;
+  if(!this.settings['genomeData']['gene_associations']["anvio-pangenome"]) return;
 
   let targetGeneInfo = viewCluster(gc);
   if(targetGeneInfo == null) return;
   let [firstGenomeID, targetGeneMid] = targetGeneInfo;
   if(firstGenomeID != null) {
     alignToGC = gc;
-    let index = settings['genomeData']['genomes'].findIndex(g => g[0] == firstGenomeID);
-    for(var i = index+1; i < settings['genomeData']['genomes'].length; i++) {
+    let index = this.settings['genomeData']['genomes'].findIndex(g => g[0] == firstGenomeID);
+    for(var i = index+1; i < this.settings['genomeData']['genomes'].length; i++) {
       let gid = genomeData.genomes[i][0];
       let geneMids = getGenePosForGenome(genomeData.genomes[i][0], alignToGC);
       if(geneMids == null) continue;
@@ -456,7 +456,7 @@ GenomeDrawer.prototype.showAllADLPts = function(){
 }
 
 GenomeDrawer.prototype.alignRulers = function(){
-  for(genome of settings['genomeData']['genomes']) {
+  for(genome of this.settings['genomeData']['genomes']) {
     xDisps[genome[0]] = xDisplacement;
   }
   percentScale = false;
@@ -514,7 +514,7 @@ GenomeDrawer.prototype.setGenomeLabelSize = function(newSize){
 
 GenomeDrawer.prototype.redrawSingleGenome = function(genomeID){
   canvas.getObjects().filter(o => o.groupID == genomeID).forEach(obj => canvas.remove(obj));
-  let idx = settings['genomeData']['genomes'].findIndex(obj => obj[0] == genomeID);
+  let idx = this.settings['genomeData']['genomes'].findIndex(obj => obj[0] == genomeID);
   this.addGenome(idx);
   this.addLayers(idx);
   checkGeneLabels();

From e021c0158a7bf1797da895bb5983f988a7826b4a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 2 Sep 2021 17:14:01 +0000
Subject: [PATCH 0346/1020] todo

---
 anvio/data/interactive/js/genomeview/main.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 00a288b3bf..e8e12de298 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -129,7 +129,7 @@ function processState(stateName, stateData) {
   // working under the assumption that all genome groups with contain the same additional data layers,
   // we can query the first genome group for specific ADL and go from there
   buildGroupLayersTable('Genome')
-  if (settings['additional-data-layers'][0]['ruler']) {
+  if (settings['additional-data-layers'][0]['ruler']) { // TODO fix conditional check, avoid undefined error when obj doesn't exist 
     buildGroupLayersTable('Ruler')
   } 
 

From d8c5f8d1f1eceebe59d5be6c055810eb1c0a47a2 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 2 Sep 2021 14:00:39 -0500
Subject: [PATCH 0347/1020] move non-specific helper functions to main utils.js
 from genomeview/utils.js

---
 anvio/data/interactive/genomeview.html        |  1 +
 anvio/data/interactive/js/genomeview/utils.js | 29 +++----------------
 anvio/data/interactive/js/utils.js            |  9 ++++++
 3 files changed, 14 insertions(+), 25 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index d4b57be727..ee47b55976 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -25,6 +25,7 @@
         <script type="text/javascript" src="lib/jquery-ui/ui/position.js"></script>
         <script type="text/javascript" src="lib/colpick/colpick.js"></script>
         <script type="text/javascript" src="./js/constants.js"></script>
+        <script type="text/javascript" src="./js/utils.js"></script>
         <script type="text/javascript" src="./js/genomeview/main.js"></script>
         <script type="text/javascript" src="./js/genomeview/drawer.js"></script>
         <script type="text/javascript" src="./js/genomeview/navigation.js"></script>
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 51ebac98c4..34bc5ba6a1 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -19,24 +19,12 @@
  */
 
 /**
- * File Overview : This file contains utility functions used throughout genomeview. As a general rule, 
- * functions defined here explicitly return some value or mutate an existing global variable. Functions 
- * defined here should not interact directly with elements of UI, state, or canvas objects. 
+ * File Overview : This file contains utility functions used throughout genomeview. As a general rule,
+ * functions defined here explicitly return some value or mutate an existing global variable. Functions
+ * defined here should not interact directly with elements of UI, state, or canvas objects.
  */
 
 
-/** 
- * ripped from primary utils.js instead of importing the whole file
-*/
-var fixHelperModified = function(e, tr) { 
-  var $originals = tr.children();
-  var $helper = tr.clone();
-  $helper.children().each(function(index) {
-      $(this).width($originals.eq(index).width());
-  });
-  return $helper;
-};
-
 /*
  *  return height value for main canvas element
  */
@@ -266,16 +254,7 @@ function getCategoryForKEGGClass(class_str) {
   var category_name = getClassFromKEGGAnnotation(class_str);
   return getKeyByValue(KEGG_categories, category_name);
 }
-  
+
 function getClassFromKEGGAnnotation(class_str) {
   return class_str.substring(17, class_str.indexOf(';', 17));
 }
-
-// https://stackoverflow.com/questions/9907419/how-to-get-a-key-in-a-javascript-object-by-its-value/36705765
-function getKeyByValue(object, value) {
-  return Object.keys(object).find(key => object[key] === value);
-}
-
-function clamp(num, min, max) {
-  return Math.min(Math.max(num, min), max);
-}
\ No newline at end of file
diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index 735d9d1a1a..b96bf06581 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -34,12 +34,21 @@ function is_large_angle(a, b) {
     return (Math.abs(b - a) > Math.PI) ? 1 : 0;
 }
 
+function clamp(num, min, max) {
+  return Math.min(Math.max(num, min), max);
+}
+
 function info(step) {
     // a funciton to keep user posted about what is going on.
     timestamp = (new Date(Date.now())).toLocaleString().substr(11,7);
     console.log(step + " (" + timestamp + ").");
 }
 
+// https://stackoverflow.com/questions/9907419/how-to-get-a-key-in-a-javascript-object-by-its-value/36705765
+function getKeyByValue(object, value) {
+  return Object.keys(object).find(key => object[key] === value);
+}
+
 function get_sequence_and_blast(item_name, program, database, target) {
     $.ajax({
         type: 'GET',

From dccc6f732a7d01db9698ae9962ce0522282d42f6 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 2 Sep 2021 14:04:40 -0500
Subject: [PATCH 0348/1020] move helper functions inspectionutils.js ->
 utils.js

---
 anvio/data/interactive/js/genomeview/utils.js | 11 -----------
 anvio/data/interactive/js/inspectionutils.js  | 16 ----------------
 anvio/data/interactive/js/utils.js            | 11 +++++++++++
 3 files changed, 11 insertions(+), 27 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 34bc5ba6a1..e6f7d61ced 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -247,14 +247,3 @@ function getCagName(category, fn_type) {
       return category;
   }
 }
-
-function getCategoryForKEGGClass(class_str) {
-  if(class_str == null) return null;
-
-  var category_name = getClassFromKEGGAnnotation(class_str);
-  return getKeyByValue(KEGG_categories, category_name);
-}
-
-function getClassFromKEGGAnnotation(class_str) {
-  return class_str.substring(17, class_str.indexOf(';', 17));
-}
diff --git a/anvio/data/interactive/js/inspectionutils.js b/anvio/data/interactive/js/inspectionutils.js
index 40f4b1aee2..e140624837 100644
--- a/anvio/data/interactive/js/inspectionutils.js
+++ b/anvio/data/interactive/js/inspectionutils.js
@@ -405,22 +405,6 @@ function get_comp_nt_color(nts){
         return "black";
 }
 
-function getCategoryForKEGGClass(class_str) {
-  if(class_str == null) return null;
-
-  var category_name = getClassFromKEGGAnnotation(class_str);
-  return getKeyByValue(KEGG_categories, category_name);
-}
-
-function getClassFromKEGGAnnotation(class_str) {
-  return class_str.substring(17, class_str.indexOf(';', 17));
-}
-
-// https://stackoverflow.com/questions/9907419/how-to-get-a-key-in-a-javascript-object-by-its-value/36705765
-function getKeyByValue(object, value) {
-  return Object.keys(object).find(key => object[key] === value);
-}
-
 // https://stackoverflow.com/questions/16947100/max-min-of-large-array-in-js
 function GetMaxMin(input_array) {
     var max = Number.MIN_VALUE, min = Number.MAX_VALUE;
diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index b96bf06581..1154cf5ba6 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -49,6 +49,17 @@ function getKeyByValue(object, value) {
   return Object.keys(object).find(key => object[key] === value);
 }
 
+function getCategoryForKEGGClass(class_str) {
+  if(class_str == null) return null;
+
+  var category_name = getClassFromKEGGAnnotation(class_str);
+  return getKeyByValue(KEGG_categories, category_name);
+}
+
+function getClassFromKEGGAnnotation(class_str) {
+  return class_str.substring(17, class_str.indexOf(';', 17));
+}
+
 function get_sequence_and_blast(item_name, program, database, target) {
     $.ajax({
         type: 'GET',

From c4e4799bc209efd5fcc04506c2d62a0beb12caa1 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 2 Sep 2021 14:41:15 -0500
Subject: [PATCH 0349/1020] move gene coloring functionality to utils.js

---
 anvio/data/interactive/js/genomeview/ui.js    | 31 +-----
 anvio/data/interactive/js/genomeview/utils.js | 76 ---------------
 anvio/data/interactive/js/utils.js            | 96 +++++++++++++++++++
 3 files changed, 101 insertions(+), 102 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index a969d671b1..1e91366a82 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -19,8 +19,8 @@
  */
 
 /**
- * File Overview : This file contains functions related to building + updating UI elements and responding to user interaction with those elements. 
- * As a general rule, processes that invoke jQuery should probably live here. 
+ * File Overview : This file contains functions related to building + updating UI elements and responding to user interaction with those elements.
+ * As a general rule, processes that invoke jQuery should probably live here.
  */
 
 /*
@@ -300,14 +300,14 @@ function buildGenomesTable(genomes, order){
 
     $('#tbody_genomes').append(template);
   })
-  
+
   $("#tbody_genomes").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).disableSelection();
 
   $("#tbody_genomes").on("sortupdate", (event, ui) => {
     changeGenomeOrder($("#tbody_genomes").sortable('toArray'))
   })
 }
-  
+
 function buildGroupLayersTable(layerLabel){
   var height = '50';
   var margin = '25';
@@ -329,7 +329,7 @@ function buildGroupLayersTable(layerLabel){
     changeGroupLayersOrder($("#tbody_additionalDataLayers").sortable('toArray'))
   })
 }
-  
+
 function toggleAdditionalDataLayer(e){
   let layer = e.target.id.split('-')[0]
 
@@ -491,27 +491,6 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
   }
 }
 
-/*
- *  [TO BE ADDED TO 'regular' utils.js]
- */
-function appendColorRow(label, cag, color, prepend=false) {
-  let code = cag.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_');
-  var tbody_content =
-   '<tr id="picker_row_' + code + '"> \
-      <td></td> \
-      <td> \
-        <div id="picker_' + code + '" class="colorpicker" color="' + color + '" background-color="' + color + '" style="background-color: ' + color + '; margin-right:16px; margin-left:16px"></div> \
-      </td> \
-      <td>' + label + '</td> \
-    </tr>';
-
-  if(prepend) {
-    $('#tbody_function_colors').prepend(tbody_content);
-  } else {
-    $('#tbody_function_colors').append(tbody_content);
-  }
-}
-
 /*
  * [TO BE ADDED to genomeview/UI.js OR 'regular' utils.js]
  * Resets function color table to the default set
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index e6f7d61ced..eea0b1f768 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -171,79 +171,3 @@ function calcXBounds() {
 function getFunctionalAnnotations() {
   return Object.keys(genomeData.genomes[0][1].genes.functions[0]);
 }
-
-/*
- *  [TO BE ADDED TO 'regular' utils.js]
- *  @returns relevant category:color dict from constants.js for a given functional annotation
- */
-function getColorDefaults(fn_type) {
-  switch(fn_type) {
-    case 'COG_CATEGORY':
-      return default_COG_colors;
-    case 'KEGG_CATEGORY':
-      return default_KEGG_colors;
-    case 'Source':
-      return default_source_colors;
-    default:
-      // user-supplied color table
-      return getCustomColorDict(fn_type);
-  }
-}
-
-/*
- *  [TO BE ADDED TO 'regular' utils.js]
- *  @returns arbitrary category:color dict given a list of categories
- */
-function getCustomColorDict(fn_type) {
-  if(!Object.keys(genomeData.genomes[0][1].genes.functions[0]).includes(fn_type)) return null;
-
-  let cags = [];
-  genomeData.genomes.forEach(genome => {
-    Object.values(genome[1].genes.functions).forEach(fn => {
-      let cag = getCagForType(fn, fn_type);
-      if(cag && !cags.includes(cag)) cags.push(cag);
-    });
-  });
-
-  let out = custom_cag_colors.reduce((out, field, index) => {
-    out[cags[index]] = field;
-    return out;
-  }, {});
-  delete out["undefined"];
-
-  return out;
-}
-
-/*
- *  [TO BE ADDED TO genomeview/UI.js ... OR potentially 'regular' utils.js]
- *  @returns target gene's category code for a given functional annotation type.
- */
-function getCagForType(geneFunctions, fn_type) {
-  switch(fn_type) {
-    case 'COG_CATEGORY':
-      return geneFunctions && geneFunctions[fn_type] ? geneFunctions[fn_type][1][0] : null;
-    case 'KEGG_CATEGORY':
-      // TODO
-      return null;
-    default:
-      let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][1] : null;
-      if(out && out.indexOf(',') != -1) out = out.substr(0,out.indexOf(',')); // take first cag in case of a comma-separated list
-      if(out && out.indexOf(';') != -1) out = out.substr(0,out.indexOf(';')); // or semicolon-separated
-      return out;
-  }
-}
-
-/*
- *  [TO BE ADDED TO 'regular' utils.js]
- *  @returns category name corresponding to a given single-character code, for the approporiate functional annotation type
- */
-function getCagName(category, fn_type) {
-  switch(fn_type) {
-    case 'COG_CATEGORY':
-      return COG_categories[category];
-    case 'KEGG_CATEGORY':
-      return KEGG_categories[category];
-    default:
-      return category;
-  }
-}
diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index 1154cf5ba6..931272ffc1 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -60,6 +60,102 @@ function getClassFromKEGGAnnotation(class_str) {
   return class_str.substring(17, class_str.indexOf(';', 17));
 }
 
+//-----------------------------------------------------------------------------
+// Gene function coloring
+//-----------------------------------------------------------------------------
+
+/*
+ *  @returns category name corresponding to a given single-character code, for the approporiate functional annotation type
+ */
+function getCagName(category, fn_type) {
+  switch(fn_type) {
+    case 'COG_CATEGORY':
+      return COG_categories[category];
+    case 'KEGG_CATEGORY':
+      return KEGG_categories[category];
+    default:
+      return category;
+  }
+}
+
+/*
+ *  @returns target gene's category code for a given functional annotation type.
+ */
+function getCagForType(geneFunctions, fn_type) {
+  switch(fn_type) {
+    case 'COG_CATEGORY':
+      return geneFunctions && geneFunctions[fn_type] ? geneFunctions[fn_type][1][0] : null;
+    case 'KEGG_CATEGORY':
+      // TODO
+      return null;
+    default:
+      let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][1] : null;
+      if(out && out.indexOf(',') != -1) out = out.substr(0,out.indexOf(',')); // take first cag in case of a comma-separated list
+      if(out && out.indexOf(';') != -1) out = out.substr(0,out.indexOf(';')); // or semicolon-separated
+      return out;
+  }
+}
+
+/*
+ *  @returns relevant category:color dict from constants.js for a given functional annotation
+ */
+function getColorDefaults(fn_type) {
+  switch(fn_type) {
+    case 'COG_CATEGORY':
+      return default_COG_colors;
+    case 'KEGG_CATEGORY':
+      return default_KEGG_colors;
+    case 'Source':
+      return default_source_colors;
+    default:
+      // user-supplied color table
+      return getCustomColorDict(fn_type);
+  }
+}
+
+/*
+ *  @returns arbitrary category:color dict given a list of categories
+ */
+function getCustomColorDict(fn_type) {
+  if(!Object.keys(genomeData.genomes[0][1].genes.functions[0]).includes(fn_type)) return null;
+
+  let cags = [];
+  genomeData.genomes.forEach(genome => {
+    Object.values(genome[1].genes.functions).forEach(fn => {
+      let cag = getCagForType(fn, fn_type);
+      if(cag && !cags.includes(cag)) cags.push(cag);
+    });
+  });
+
+  let out = custom_cag_colors.reduce((out, field, index) => {
+    out[cags[index]] = field;
+    return out;
+  }, {});
+  delete out["undefined"];
+
+  return out;
+}
+
+function appendColorRow(label, cag, color, prepend=false) {
+  let code = cag.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_');
+  var tbody_content =
+   '<tr id="picker_row_' + code + '"> \
+      <td></td> \
+      <td> \
+        <div id="picker_' + code + '" class="colorpicker" color="' + color + '" background-color="' + color + '" style="background-color: ' + color + '; margin-right:16px; margin-left:16px"></div> \
+      </td> \
+      <td>' + label + '</td> \
+    </tr>';
+
+  if(prepend) {
+    $('#tbody_function_colors').prepend(tbody_content);
+  } else {
+    $('#tbody_function_colors').append(tbody_content);
+  }
+}
+
+//-----------------------------------------------------------------------------
+
 function get_sequence_and_blast(item_name, program, database, target) {
     $.ajax({
         type: 'GET',

From 033dd66d23eb5752a79e86b064dc6472d5a2b839 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 2 Sep 2021 16:58:13 -0500
Subject: [PATCH 0350/1020] implement automated gene coloring for inspect page

---
 anvio/data/interactive/js/charts.js           | 153 +++++++-----------
 anvio/data/interactive/js/genomeview/ui.js    |   7 +-
 anvio/data/interactive/js/genomeview/utils.js |  23 +++
 anvio/data/interactive/js/inspectionutils.js  |  55 ++++---
 anvio/data/interactive/js/utils.js            |  30 +---
 5 files changed, 123 insertions(+), 145 deletions(-)

diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index 0f7b2e5ed2..fb6e955a85 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -219,7 +219,7 @@ function loadAll() {
                     }
 
                     if(gene.functions.hasOwnProperty("COG_CATEGORY")) cog_annotated = true;
-                    if(gene.functions.hasOwnProperty("KEGG_Class")) kegg_annotated = true;
+                    if(gene.functions.hasOwnProperty("KEGG_CLASS")) kegg_annotated = true;
                     if(cog_annotated && kegg_annotated) return;
                   }
                 });
@@ -272,22 +272,22 @@ function loadAll() {
                 mcags = Object.keys(default_source_colors);
                 if(cog_annotated) {
                   $('#gene_color_order').append($('<option>', {
-                    value: 'COG',
-                    text: 'COG'
+                    value: 'COG_CATEGORY',
+                    text: 'COG_CATEGORY'
                   }));
 
-                  if(!state.hasOwnProperty('cog-colors')) {
-                    state['cog-colors'] = default_COG_colors
+                  if(!state.hasOwnProperty('cog_category-colors')) {
+                    state['cog_category-colors'] = default_COG_colors
                   }
                 }
                 if(kegg_annotated) {
                   $('#gene_color_order').append($('<option>', {
-                    value: 'KEGG',
-                    text: 'KEGG'
+                    value: 'KEGG_CLASS',
+                    text: 'KEGG_CLASS'
                   }));
 
-                  if(!state.hasOwnProperty('kegg-colors')) {
-                    state['kegg-colors'] = default_KEGG_colors
+                  if(!state.hasOwnProperty('kegg_class-colors')) {
+                    state['kegg_class-colors'] = default_KEGG_colors
                   }
                 }
 
@@ -423,10 +423,10 @@ function loadAll() {
                 }).change(function() {
                     state['gene-fn-db'] = $(this).val();
                     switch($(this).val()) {
-                      case "COG":
+                      case "COG_CATEGORY":
                         mcags = Object.keys(COG_categories);
                         break;
-                      case "KEGG":
+                      case "KEGG_CLASS":
                         mcags = Object.keys(KEGG_categories);
                         break;
                       case "Source":
@@ -576,61 +576,38 @@ function get_box_id_for_AA(aa, id_start) {
   return id;
 }
 
-/*
- *  Generates KEGG color table html given a color palette.
- *
- *  Params:
- *   - fn_colors:         a dictionary matching each category to a hex color code
- *   - fn_type:           a string indicating function category type: one of "COG", "KEGG", "Source"
- *   - highlight_genes:   a dictionary matching specific gene caller IDs to hex colors to override other coloring
- *   - filter_to_split: if true, filters categories to only those shown in the split
- */
-function generateFunctionColorTable(fn_colors, fn_type, highlight_genes={}, filter_to_split) {
+
+ /*
+  *  Generates functional annotation color table for a given color palette.
+  *
+  *  @param fn_colors :       dict matching each category to a hex color code to override defaults
+  *  @param fn_type :         string indicating function category type
+  *  @param highlight_genes : a dictionary matching specific gene caller IDs to hex colors to override other coloring
+  *  @param filter_to_split : if true, filters categories to only those shown in the split
+  */
+function generateFunctionColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=true) {
   info("Generating gene functional annotation color table");
-  var db = (function(type){
-    switch(type) {
-      case "COG":
-        return COG_categories;
-      case "KEGG":
-        return KEGG_categories;
-      case "Source":
-        return default_source_colors;
-      default:
-        console.log("Warning: Invalid type for function color table");
-        return null;
-    }
-  })(fn_type);
-  if(db == null) return;
 
-  $('#tbody_function_colors').empty();
+  let db = getColorDefaults(fn_type ? fn_type : 'Source');
+  if(db == null) return;
+  // Override default values with any values supplied to fn_colors
+  if(fn_colors) {
+    Object.keys(db).forEach(cag => { if(Object.keys(fn_colors).includes(cag)) db[cag] = fn_colors[cag] });
+  }
 
-  if(fn_type != "Source" && filter_to_split) {
-    var new_colors = {};
+  if(filter_to_split && fn_type != 'Source') {
+    let save = [];
     for(gene of genes) {
-      if(gene.functions && gene.functions[fn_type + "_CATEGORY"]) {
-        new_colors[gene.functions[fn_type + "_CATEGORY"][0][0]] = fn_colors[gene.functions[fn_type + "_CATEGORY"][0][0]]
-      }
+      let cag = getCagForType(gene.functions, fn_type);
+      if(cag && !save.includes(cag)) save.push(cag);
     }
-    if(Object.keys(new_colors).length > 0) fn_colors = new_colors;
+    Object.keys(db).forEach((cag, color) => {
+      if(!save.includes(cag)) delete db[cag];
+    });
   }
 
-  Object.keys(db).forEach(function(category){
-    if(!(category in fn_colors)) {
-      return;
-    }
-    var category_name = (fn_type == "Source" ? category : db[category]);
-
-    var tbody_content =
-     '<tr id="picker_row_' + category + '"> \
-        <td></td> \
-        <td> \
-          <div id="picker_' + category + '" class="colorpicker" color="' + fn_colors[category] + '" background-color="' + fn_colors[category] + '" style="background-color: ' + fn_colors[category] + '; margin-right:16px; margin-left:16px"></div> \
-        </td> \
-        <td>' + category_name + '</td> \
-      </tr>';
-
-    $('#tbody_function_colors').append(tbody_content);
-  });
+  $('#tbody_function_colors').empty();
+  Object.keys(db).forEach(category => appendColorRow(getCagName(category, fn_type), category, db[category]) );
 
   $('.colorpicker').colpick({
       layout: 'hex',
@@ -647,39 +624,25 @@ function generateFunctionColorTable(fn_colors, fn_type, highlight_genes={}, filt
       $(this).colpickSetColor(this.value);
   });
 
-  if(!isEmpty(highlight_genes)) {
-
+  if(highlight_genes) {
     for(gene of genes) {
-      var gene_callers_id = "" + gene.gene_callers_id;
-      if(Object.keys(highlight_genes).includes(gene_callers_id)) {
-        var tbody_content =
-         '<tr id="picker_row_' + gene_callers_id + '"> \
-            <td></td> \
-            <td> \
-              <div id="picker_' + gene_callers_id + '" class="colorpicker" color="' + highlight_genes[gene_callers_id] + '" background-color="' + highlight_genes[gene_callers_id] + '" style="background-color: ' + highlight_genes[gene_callers_id] + '; margin-right:16px; margin-left:16px"></div> \
-            </td> \
-            <td>Gene ID: ' + gene_callers_id + '</td> \
-          </tr>';
-
-        $('#tbody_function_colors').prepend(tbody_content);
-
-        $('#picker_' + gene_callers_id).colpick({
-            layout: 'hex',
-            submit: 0,
-            colorScheme: 'light',
-            onChange: function(hsb, hex, rgb, el, bySetColor) {
-                $(el).css('background-color', '#' + hex);
-                $(el).attr('color', '#' + hex);
-
-                state['highlight-genes'][el.id.substring(7)] = '#' + hex;
-                if (!bySetColor) $(el).val(hex);
-            }
-        }).keyup(function() {
-            $(this).colpickSetColor(this.value);
-        });
-      }
+      let gene_id = "" + gene.gene_callers_id;
+      if(Object.keys(highlight_genes).includes(gene_id)) appendColorRow(label, "Gene ID: " + gene_id, highlight_genes[gene_id], prepend=true);
     }
+    $('.colorpicker').colpick({
+        layout: 'hex',
+        submit: 0,
+        colorScheme: 'light',
+        onChange: function(hsb, hex, rgb, el, bySetColor) {
+            $(el).css('background-color', '#' + hex);
+            $(el).attr('color', '#' + hex);
 
+            state[$('#gene_color_order').val().toLowerCase() + '-colors'][el.id.substring(7)] = '#' + hex;
+            if (!bySetColor) $(el).val(hex);
+        }
+    }).keyup(function() {
+        $(this).colpickSetColor(this.value);
+    });
   }
 }
 
@@ -825,11 +788,11 @@ function resetFunctionColors(fn_colors=null) {
     case 'Source':
       Object.assign(state['source-colors'], fn_colors ? fn_colors : default_source_colors);
       break;
-    case 'COG':
-      Object.assign(state['cog-colors'], fn_colors ? fn_colors : default_COG_colors);
+    case 'COG_CATEGORY':
+      Object.assign(state['cog_category-colors'], fn_colors ? fn_colors : default_COG_colors);
       break;
-    case 'KEGG':
-      Object.assign(state['kegg-colors'], fn_colors ? fn_colors : default_KEGG_colors);
+    case 'KEGG_CLASS':
+      Object.assign(state['kegg_class-colors'], fn_colors ? fn_colors : default_KEGG_colors);
       break;
   }
 
@@ -1453,8 +1416,8 @@ function saveState()
 function processState(state_name, state) {
     // set color defaults
     if(!state['source-colors']) state['source-colors'] = default_source_colors;
-    if(!state['cog-colors']) state['cog-colors'] = default_COG_colors;
-    if(!state['kegg-colors']) state['kegg-colors'] = default_KEGG_colors;
+    if(!state['cog_category-colors']) state['cog_category-colors'] = default_COG_colors;
+    if(!state['kegg_class-colors']) state['kegg_class-colors'] = default_KEGG_colors;
 
     if(JSON.parse(localStorage.state) && JSON.parse(localStorage.state)['gene-fn-db']) {
       state['gene-fn-db'] = JSON.parse(localStorage.state)['gene-fn-db'];
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 1e91366a82..e1d6b384b5 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -411,11 +411,10 @@ function changeGenomeOrder(updatedOrder){
 
 
 /*
- *  [TO BE ADDED TO 'regular' utils.js]
  *  Generates functional annotation color table for a given color palette.
  *
  *  @param fn_colors :       dict matching each category to a hex color code to override defaults
- *  @param fn_type :         string indicating function category type: currently one of "COG_CATEGORY", "KEGG_CATEGORY", "Source"
+ *  @param fn_type :         string indicating function category type
  *  @param highlight_genes : array of format [{genomeID: 'g01', geneID: 3, color: '#FF0000'}, ...] to override other coloring for specific genes
  *  @param filter_to_split : if true, filters categories to only those shown in the split
  */
@@ -425,7 +424,9 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
   let db = getColorDefaults(fn_type ? fn_type : 'Source');
   if(db == null) return;
   // Override default values with any values supplied to fn_colors
-  if(fn_colors) db = Object.keys(db).map(cag => Object.keys(fn_colors).includes(cag) ? fn_colors[cag] : db[cag]);
+  if(fn_colors) {
+    Object.keys(db).forEach(cag => { if(Object.keys(fn_colors).includes(cag)) db[cag] = fn_colors[cag] });
+  }
 
   if(filter_to_split && fn_type != 'Source') {
     let save = [];
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index eea0b1f768..817142e830 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -171,3 +171,26 @@ function calcXBounds() {
 function getFunctionalAnnotations() {
   return Object.keys(genomeData.genomes[0][1].genes.functions[0]);
 }
+
+/*
+ *  @returns arbitrary category:color dict given a list of categories
+ */
+function getCustomColorDict(fn_type) {
+  if(!Object.keys(genomeData.genomes[0][1].genes.functions[0]).includes(fn_type)) return null;
+
+  let cags = [];
+  genomeData.genomes.forEach(genome => {
+    Object.values(genome[1].genes.functions).forEach(fn => {
+      let cag = getCagForType(fn, fn_type);
+      if(cag && !cags.includes(cag)) cags.push(cag);
+    });
+  });
+
+  let out = custom_cag_colors.reduce((out, field, index) => {
+    out[cags[index]] = field;
+    return out;
+  }, {});
+  delete out["undefined"];
+
+  return out;
+}
diff --git a/anvio/data/interactive/js/inspectionutils.js b/anvio/data/interactive/js/inspectionutils.js
index e140624837..9fdcaa2bb5 100644
--- a/anvio/data/interactive/js/inspectionutils.js
+++ b/anvio/data/interactive/js/inspectionutils.js
@@ -290,28 +290,22 @@ function drawArrows(_start, _stop, colortype, gene_offset_y, color_genes=null) {
 
       var y = 10 + (gene.level * 20);
 
-      var category = "none";
-      if(colortype == "COG") {
-        if(gene.functions !== null && gene.functions.hasOwnProperty("COG_CATEGORY") && gene.functions.COG_CATEGORY != null) {
-          category = gene.functions["COG_CATEGORY"][0][0];
-        }
-        if(category == null || category == "X") category = "none";
-      } else if(colortype == "KEGG") {
-        if(gene.functions !== null && gene.functions.hasOwnProperty("KEGG_Class") && gene.functions.KEGG_Class != null) {
-          category = getCategoryForKEGGClass(gene.functions["KEGG_Class"][1]);
-        }
-        if(category == null) category = "none";
-      } else if(colortype == "Source") {
-        if (gene.source.startsWith('Ribosomal_RNA')) {
-          category = 'rRNA';
-        } else if (gene.source == 'Transfer_RNAs') {
-          category = 'tRNA';
-        } else if (gene.functions !== null) {
-          category = 'Function';
-        } else {
-          category = "None";
+
+      let category = getCagForType(gene.functions, colortype);
+
+      if(!category) {
+        category = "none";
+        if(colortype == "Source") {
+          if (gene.source.startsWith('Ribosomal_RNA')) {
+            category = 'rRNA';
+          } else if (gene.source == 'Transfer_RNAs') {
+            category = 'tRNA';
+          } else if (gene.functions !== null) {
+            category = 'Function';
+          }
         }
       }
+
       if(color_genes != null && !isEmpty(color_genes) && color_genes.includes("" + gene.gene_callers_id)) {
         category = gene.gene_callers_id;
       }
@@ -388,6 +382,27 @@ function getGeneEndpts(_start, _stop) {
   return ret;
 }
 
+/*
+ *  @returns arbitrary category:color dict given a list of categories
+ */
+function getCustomColorDict(fn_type) {
+  let genes = geneParser["data"];
+
+  let cags = [];
+  genes.forEach(gene => {
+    let cag = getCagForType(gene.functions, fn_type);
+    if(cag && !cags.includes(cag)) cags.push(cag);
+  });
+
+  let out = custom_cag_colors.reduce((out, field, index) => {
+    out[cags[index]] = field;
+    return out;
+  }, {});
+  delete out["undefined"];
+
+  return out;
+}
+
 var base_colors = ['#CCB48F', '#727EA3', '#65567A', '#CCC68F', '#648F7D', '#CC9B8F', '#A37297', '#708059'];
 
 function get_comp_nt_color(nts){
diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index 931272ffc1..aa7e99215a 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -84,10 +84,9 @@ function getCagName(category, fn_type) {
 function getCagForType(geneFunctions, fn_type) {
   switch(fn_type) {
     case 'COG_CATEGORY':
-      return geneFunctions && geneFunctions[fn_type] ? geneFunctions[fn_type][1][0] : null;
-    case 'KEGG_CATEGORY':
-      // TODO
-      return null;
+      return geneFunctions && geneFunctions[fn_type] && geneFunctions["COG_CATEGORY"][1][0] != 'X' ? geneFunctions["COG_CATEGORY"][1][0] : null;
+    case 'KEGG_CLASS':
+      return geneFunctions && geneFunctions[fn_type] ? getCategoryForKEGGClass(gene.functions["KEGG_Class"][1]) : null;
     default:
       let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][1] : null;
       if(out && out.indexOf(',') != -1) out = out.substr(0,out.indexOf(',')); // take first cag in case of a comma-separated list
@@ -113,29 +112,6 @@ function getColorDefaults(fn_type) {
   }
 }
 
-/*
- *  @returns arbitrary category:color dict given a list of categories
- */
-function getCustomColorDict(fn_type) {
-  if(!Object.keys(genomeData.genomes[0][1].genes.functions[0]).includes(fn_type)) return null;
-
-  let cags = [];
-  genomeData.genomes.forEach(genome => {
-    Object.values(genome[1].genes.functions).forEach(fn => {
-      let cag = getCagForType(fn, fn_type);
-      if(cag && !cags.includes(cag)) cags.push(cag);
-    });
-  });
-
-  let out = custom_cag_colors.reduce((out, field, index) => {
-    out[cags[index]] = field;
-    return out;
-  }, {});
-  delete out["undefined"];
-
-  return out;
-}
-
 function appendColorRow(label, cag, color, prepend=false) {
   let code = cag.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_');
   var tbody_content =

From 992c6b8d3d7f3712c24e1421af557c03f1ad9dda Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 3 Sep 2021 13:06:32 -0500
Subject: [PATCH 0351/1020] full implementation of color coding for inspect
 page + cleanup redundancy in charts.js

---
 anvio/data/interactive/js/charts.js           | 148 +++++-------------
 anvio/data/interactive/js/genomeview/main.js  |  11 +-
 anvio/data/interactive/js/genomeview/utils.js |   1 -
 anvio/data/interactive/js/inspectionutils.js  |  22 ++-
 anvio/data/interactive/js/utils.js            |  26 ++-
 5 files changed, 77 insertions(+), 131 deletions(-)

diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index fb6e955a85..a2a9f0079b 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -57,8 +57,6 @@ var show_cags_in_split = true;
 
 var mcags;
 
-var cog_annotated = false, kegg_annotated = false;
-
 function loadAll() {
     info("Initiated");
     $.ajaxPrefilter(function(options) {
@@ -208,21 +206,6 @@ function loadAll() {
 
                 info("Checking for gene functional annotations");
                 geneParser = new GeneParser(genes);
-                geneParser["data"].forEach(function(gene) {
-                  if(gene.functions != null) {
-                    if(gene.functions.hasOwnProperty("COG20_CATEGORY")) {
-                      gene.functions["COG_CATEGORY"] = gene.functions["COG20_CATEGORY"];
-                      gene.functions["COG_FUNCTION"] = gene.functions["COG20_FUNCTION"];
-                    } else if(gene.functions.hasOwnProperty("COG14_CATEGORY")) {
-                      gene.functions["COG_CATEGORY"] = gene.functions["COG14_CATEGORY"];
-                      gene.functions["COG_FUNCTION"] = gene.functions["COG14_FUNCTION"];
-                    }
-
-                    if(gene.functions.hasOwnProperty("COG_CATEGORY")) cog_annotated = true;
-                    if(gene.functions.hasOwnProperty("KEGG_CLASS")) kegg_annotated = true;
-                    if(cog_annotated && kegg_annotated) return;
-                  }
-                });
 
                 if(!state['highlight-genes']) state['highlight-genes'] = {};
                 state['large-indel'] = 10;
@@ -270,24 +253,14 @@ function loadAll() {
                 }
                 generateFunctionColorTable(state['source-colors'], "Source", highlight_genes=state['highlight-genes'], show_cags_in_split);
                 mcags = Object.keys(default_source_colors);
-                if(cog_annotated) {
+                for(fn of getFunctionalAnnotations()) {
                   $('#gene_color_order').append($('<option>', {
-                    value: 'COG_CATEGORY',
-                    text: 'COG_CATEGORY'
+                    value: fn,
+                    text: fn
                   }));
-
-                  if(!state.hasOwnProperty('cog_category-colors')) {
-                    state['cog_category-colors'] = default_COG_colors
-                  }
-                }
-                if(kegg_annotated) {
-                  $('#gene_color_order').append($('<option>', {
-                    value: 'KEGG_CLASS',
-                    text: 'KEGG_CLASS'
-                  }));
-
-                  if(!state.hasOwnProperty('kegg_class-colors')) {
-                    state['kegg_class-colors'] = default_KEGG_colors
+                  let prop = fn.toLowerCase() + '-colors';
+                  if(!state.hasOwnProperty(prop)) {
+                    state[prop] = getColorDefaults(fn);
                   }
                 }
 
@@ -627,7 +600,7 @@ function generateFunctionColorTable(fn_colors, fn_type, highlight_genes=null, fi
   if(highlight_genes) {
     for(gene of genes) {
       let gene_id = "" + gene.gene_callers_id;
-      if(Object.keys(highlight_genes).includes(gene_id)) appendColorRow(label, "Gene ID: " + gene_id, highlight_genes[gene_id], prepend=true);
+      if(Object.keys(highlight_genes).includes(gene_id)) appendColorRow("Gene ID: " + gene_id, gene_id, highlight_genes[gene_id], prepend=true);
     }
     $('.colorpicker').colpick({
         layout: 'hex',
@@ -697,18 +670,9 @@ function toggleGeneIDColor(gene_id, color="#FF0000") {
 
 function addGeneIDColor(gene_id, color="#FF0000") {
   state['highlight-genes'][gene_id] = color;
-  var tbody_content =
-   '<tr id="picker_row_' + gene_id + '"> \
-      <td></td> \
-      <td> \
-        <div id="picker_' + gene_id + '" class="colorpicker" color="' + color + '" background-color="' + color + '" style="background-color: ' + color + '; margin-right:16px; margin-left:16px"></div> \
-      </td> \
-      <td>Gene ID: ' + gene_id + '</td> \
-    </tr>';
-
-  $('#tbody_function_colors').prepend(tbody_content);
-
-  $('#picker_' + gene_id).colpick({
+  appendColorRow("Gene ID: " + gene_id, gene_id, color, prepend=true);
+
+  $('.colorpicker').colpick({
       layout: 'hex',
       submit: 0,
       colorScheme: 'light',
@@ -754,14 +718,16 @@ function redrawArrows() {
   drawArrows(parseInt($('#brush_start').val()), parseInt($('#brush_end').val()), $('#gene_color_order').val(), gene_offset_y, Object.keys(state['highlight-genes']));
 }
 
-function resetArrowMarkers() {
-  info("Resetting arrow markers");
-  $('#contextSvgDefs').empty();
-
-  ["none"].concat(mcags).concat(Object.keys(state['highlight-genes'])).forEach(function(category){
-    contextSvg.select('#contextSvgDefs')
-        .append('svg:marker')
-        .attr('id', 'arrow_' + category)
+function defineArrowMarkers(fn_type, cags=null, noneMarker=true) {
+  if(!cags) cags = Object.keys(getColorDefaults(fn_type));
+  if(noneMarker) cags = ["none"].concat(cags);
+  cags.forEach(category => {
+    if(category.indexOf(',') != -1) category = category.substr(0,category.indexOf(','));
+    if(category.indexOf(';') != -1) category = category.substr(0,category.indexOf(';'));
+    if(category.indexOf('!!!') != -1) category = category.substr(0,category.indexOf('!!!'));
+    category = getCleanCagCode(category);
+    contextSvg.select('#contextSvgDefs').append('svg:marker')
+        .attr('id', 'arrow_' + category )
         .attr('markerHeight', 2)
         .attr('markerWidth', 2)
         .attr('orient', 'auto')
@@ -774,6 +740,15 @@ function resetArrowMarkers() {
   });
 }
 
+function resetArrowMarkers() {
+  info("Resetting arrow markers");
+  $('#contextSvgDefs').empty();
+
+  defineArrowMarkers($('#gene_color_order').val());
+  //defineArrowMarkers(null, cags=mcags);
+  defineArrowMarkers(null, cags=Object.keys(state['highlight-genes']), noneMarker=false);
+}
+
 /*
  * Sets gene colors for the selected category type to the default set
  *
@@ -789,6 +764,8 @@ function resetFunctionColors(fn_colors=null) {
       Object.assign(state['source-colors'], fn_colors ? fn_colors : default_source_colors);
       break;
     case 'COG_CATEGORY':
+    case 'COG14_CATEGORY':
+    case 'COG20_CATEGORY':
       Object.assign(state['cog_category-colors'], fn_colors ? fn_colors : default_COG_colors);
       break;
     case 'KEGG_CLASS':
@@ -1436,20 +1413,7 @@ function processState(state_name, state) {
     if(!state['show_highlights']) state['show_highlights'] = true;
 
     // define arrow markers for highlighted gene ids
-    Object.keys(state['highlight-genes']).forEach(function(gene_id){
-      contextSvg.select('#contextSvgDefs')
-          .append('svg:marker')
-          .attr('id', 'arrow_' + gene_id)
-          .attr('markerHeight', 2)
-          .attr('markerWidth', 2)
-          .attr('orient', 'auto')
-          .attr('refX', 0)
-          .attr('refY', 0)
-          .attr('viewBox', '-5 -5 10 10')
-          .append('svg:path')
-            .attr('d', 'M 0,0 m -5,-5 L 5,0 L -5,5 Z')
-            .attr('fill', $('#picker_' + gene_id).attr('color'));
-    });
+    defineArrowMarkers(null, cags=Object.keys(state['highlight-genes']), noneMarker=false);
     redrawArrows();
 
     if(state['show_indels']) {
@@ -1639,50 +1603,12 @@ function createCharts(state){
        .attr("fill-opacity", "0.2")
        .attr('transform', 'translate(50, 10)');
 
-    // Define arrow markers
-    if(cog_annotated) {
-      ["none"].concat(Object.keys(COG_categories)).forEach(function(category){
-        defs.append('svg:marker')
-            .attr('id', 'arrow_' + category )
-            .attr('markerHeight', 2)
-            .attr('markerWidth', 2)
-            .attr('orient', 'auto')
-            .attr('refX', 0)
-            .attr('refY', 0)
-            .attr('viewBox', '-5 -5 10 10')
-            .append('svg:path')
-              .attr('d', 'M 0,0 m -5,-5 L 5,0 L -5,5 Z')
-              .attr('fill', category != "none" ? $('#picker_' + category).attr('background-color') : "gray");
-      });
-    }
-    if(kegg_annotated) {
-      ["none"].concat(Object.keys(KEGG_categories)).forEach(function(category){
-        defs.append('svg:marker')
-            .attr('id', 'arrow_' + category )
-            .attr('markerHeight', 2)
-            .attr('markerWidth', 2)
-            .attr('orient', 'auto')
-            .attr('refX', 0)
-            .attr('refY', 0)
-            .attr('viewBox', '-5 -5 10 10')
-            .append('svg:path')
-              .attr('d', 'M 0,0 m -5,-5 L 5,0 L -5,5 Z')
-              .attr('fill', category != "none" ? $('#picker_' + category).attr('background-color') : "gray");
-      });
+
+    for(fn of getFunctionalAnnotations()) {
+      defineArrowMarkers(fn);
     }
-    ["none"].concat(Object.keys(default_source_colors)).concat(Object.keys(state['highlight-genes'])).forEach(function(category){
-      defs.append('svg:marker')
-          .attr('id', 'arrow_' + category )
-          .attr('markerHeight', 2)
-          .attr('markerWidth', 2)
-          .attr('orient', 'auto')
-          .attr('refX', 0)
-          .attr('refY', 0)
-          .attr('viewBox', '-5 -5 10 10')
-          .append('svg:path')
-            .attr('d', 'M 0,0 m -5,-5 L 5,0 L -5,5 Z')
-            .attr('fill', category != "none" ? $('#picker_' + category).attr('color') : "gray");
-    });
+    defineArrowMarkers("Source");
+    defineArrowMarkers(null, cags=Object.keys(state['highlight-genes']), noneMarker=false);
 
     $('#context-container').css("width", (width + 150) + "px");
 
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 00a288b3bf..f185944653 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -20,7 +20,7 @@
 
 /**
  * File Overview : This file is the entrypoint for genomeview. Here, genomic + state data are retrieved from the backend, processed, and passed to the various other
- * genomeview modules to build out UI and render visualizations. Generally speaking, this file should stay pretty lean and purpose-driven.  
+ * genomeview modules to build out UI and render visualizations. Generally speaking, this file should stay pretty lean and purpose-driven.
  */
 
 var VIEWER_WIDTH = window.innerWidth || document.documentElement.clientWidth || document.getElementsByTagName('body')[0].clientWidth;
@@ -53,7 +53,7 @@ var mainCanvasHeight;
 var canvas;
 var genomeLabelsCanvas;
 var brush;
-var drawer 
+var drawer
 var color_db;
 var genomeData;
 
@@ -131,7 +131,7 @@ function processState(stateName, stateData) {
   buildGroupLayersTable('Genome')
   if (settings['additional-data-layers'][0]['ruler']) {
     buildGroupLayersTable('Ruler')
-  } 
+  }
 
   if (settings['additional-data-layers'][0]['coverage']) {
     buildGroupLayersTable('Coverage')
@@ -209,7 +209,6 @@ function loadAll() {
     text: 'Source'
   }));
   for (fn of getFunctionalAnnotations()) {
-    if (!['COG_CATEGORY', 'KEGG_CATEGORY'].includes(fn)) continue; // TODO: support any option
     $('#gene_color_order').append($('<option>', {
       value: fn,
       text: fn
@@ -226,5 +225,5 @@ function loadAll() {
   setEventListeners()
   console.log('Sending this data obj to GenomeDrawer', settings)
   drawer = new GenomeDrawer(settings)
-  drawer.draw() 
-}
\ No newline at end of file
+  drawer.draw()
+}
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 817142e830..ff9e557eb7 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -165,7 +165,6 @@ function calcXBounds() {
 }
 
 /*
- *  [TO BE ADDED TO 'regular' utils.js since it can be used in the inspect page]
  *  @returns array of functional annotation types from table in `genomeData`
  */
 function getFunctionalAnnotations() {
diff --git a/anvio/data/interactive/js/inspectionutils.js b/anvio/data/interactive/js/inspectionutils.js
index 9fdcaa2bb5..138a2e5e0e 100644
--- a/anvio/data/interactive/js/inspectionutils.js
+++ b/anvio/data/interactive/js/inspectionutils.js
@@ -294,7 +294,7 @@ function drawArrows(_start, _stop, colortype, gene_offset_y, color_genes=null) {
       let category = getCagForType(gene.functions, colortype);
 
       if(!category) {
-        category = "none";
+        category = "None";
         if(colortype == "Source") {
           if (gene.source.startsWith('Ribosomal_RNA')) {
             category = 'rRNA';
@@ -324,6 +324,7 @@ function drawArrows(_start, _stop, colortype, gene_offset_y, color_genes=null) {
       }
 
       // M10 15 l20 0
+      category = getCleanCagCode(category);
       path = paths.append('svg:path')
            .attr('id', 'gene_' + gene.gene_callers_id)
            .attr('d', 'M' + start +' '+ y +' l'+ stop +' 0')
@@ -388,11 +389,9 @@ function getGeneEndpts(_start, _stop) {
 function getCustomColorDict(fn_type) {
   let genes = geneParser["data"];
 
-  let cags = [];
-  genes.forEach(gene => {
-    let cag = getCagForType(gene.functions, fn_type);
-    if(cag && !cags.includes(cag)) cags.push(cag);
-  });
+  let cags = Object.values(geneParser["data"]).map(gene => gene.functions ? getCagForType(gene.functions, fn_type) : null)
+                                              .filter(o => o != null);
+  cags = cags.filter((item, i) => { return cags.indexOf(item) == i }); // remove duplicates
 
   let out = custom_cag_colors.reduce((out, field, index) => {
     out[cags[index]] = field;
@@ -401,6 +400,17 @@ function getCustomColorDict(fn_type) {
   delete out["undefined"];
 
   return out;
+  console.log(out);
+}
+
+/*
+ *  @returns array of functional annotation types from genes
+ */
+function getFunctionalAnnotations() {
+  for(gene of geneParser["data"]) {
+    if(!gene.functions) continue;
+    return Object.keys(gene.functions);
+  }
 }
 
 var base_colors = ['#CCB48F', '#727EA3', '#65567A', '#CCC68F', '#648F7D', '#CC9B8F', '#A37297', '#708059'];
diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index aa7e99215a..7c1a444b16 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -70,8 +70,10 @@ function getClassFromKEGGAnnotation(class_str) {
 function getCagName(category, fn_type) {
   switch(fn_type) {
     case 'COG_CATEGORY':
+    case 'COG14_CATEGORY':
+    case 'COG20_CATEGORY':
       return COG_categories[category];
-    case 'KEGG_CATEGORY':
+    case 'KEGG_CLASS':
       return KEGG_categories[category];
     default:
       return category;
@@ -84,13 +86,16 @@ function getCagName(category, fn_type) {
 function getCagForType(geneFunctions, fn_type) {
   switch(fn_type) {
     case 'COG_CATEGORY':
-      return geneFunctions && geneFunctions[fn_type] && geneFunctions["COG_CATEGORY"][1][0] != 'X' ? geneFunctions["COG_CATEGORY"][1][0] : null;
+    case 'COG14_CATEGORY':
+    case 'COG20_CATEGORY':
+      return geneFunctions && geneFunctions[fn_type] && geneFunctions[fn_type][1][0] != 'X' ? geneFunctions[fn_type][1][0] : null;
     case 'KEGG_CLASS':
-      return geneFunctions && geneFunctions[fn_type] ? getCategoryForKEGGClass(gene.functions["KEGG_Class"][1]) : null;
+      return geneFunctions && geneFunctions[fn_type] ? getCategoryForKEGGClass(gene.functions[fn_type][1]) : null;
     default:
-      let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][1] : null;
+      let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][0] : null;
       if(out && out.indexOf(',') != -1) out = out.substr(0,out.indexOf(',')); // take first cag in case of a comma-separated list
-      if(out && out.indexOf(';') != -1) out = out.substr(0,out.indexOf(';')); // or semicolon-separated
+      if(out && out.indexOf(';') != -1) out = out.substr(0,out.indexOf(';'));
+      if(out && out.indexOf('!!!') != -1) out = out.substr(0,out.indexOf('!!!'));
       return out;
   }
 }
@@ -101,8 +106,10 @@ function getCagForType(geneFunctions, fn_type) {
 function getColorDefaults(fn_type) {
   switch(fn_type) {
     case 'COG_CATEGORY':
+    case 'COG14_CATEGORY':
+    case 'COG20_CATEGORY':
       return default_COG_colors;
-    case 'KEGG_CATEGORY':
+    case 'KEGG_CLASS':
       return default_KEGG_colors;
     case 'Source':
       return default_source_colors;
@@ -113,7 +120,7 @@ function getColorDefaults(fn_type) {
 }
 
 function appendColorRow(label, cag, color, prepend=false) {
-  let code = cag.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_');
+  let code = getCleanCagCode(cag);
   var tbody_content =
    '<tr id="picker_row_' + code + '"> \
       <td></td> \
@@ -130,6 +137,11 @@ function appendColorRow(label, cag, color, prepend=false) {
   }
 }
 
+function getCleanCagCode(code) {
+  if(!isNaN(code)) return code;
+  return code.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_').split('/').join('_');
+}
+
 //-----------------------------------------------------------------------------
 
 function get_sequence_and_blast(item_name, program, database, target) {

From 18b11027ac074854ff3c747976238719e5ebcd9a Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 3 Sep 2021 13:09:22 -0500
Subject: [PATCH 0352/1020] remove deprecated inspect variable

---
 anvio/data/interactive/js/charts.js | 15 ---------------
 1 file changed, 15 deletions(-)

diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index a2a9f0079b..6c40af410c 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -55,8 +55,6 @@ var select_boxes = {};
 var curr_height;
 var show_cags_in_split = true;
 
-var mcags;
-
 function loadAll() {
     info("Initiated");
     $.ajaxPrefilter(function(options) {
@@ -252,7 +250,6 @@ function loadAll() {
                   state['source-colors'] = default_source_colors;
                 }
                 generateFunctionColorTable(state['source-colors'], "Source", highlight_genes=state['highlight-genes'], show_cags_in_split);
-                mcags = Object.keys(default_source_colors);
                 for(fn of getFunctionalAnnotations()) {
                   $('#gene_color_order').append($('<option>', {
                     value: fn,
@@ -395,16 +392,6 @@ function loadAll() {
 
                 }).change(function() {
                     state['gene-fn-db'] = $(this).val();
-                    switch($(this).val()) {
-                      case "COG_CATEGORY":
-                        mcags = Object.keys(COG_categories);
-                        break;
-                      case "KEGG_CLASS":
-                        mcags = Object.keys(KEGG_categories);
-                        break;
-                      case "Source":
-                        mcags = Object.keys(default_source_colors);
-                    }
                     resetFunctionColors(state[$(this).val().toLowerCase() + '-colors']);
                     redrawArrows();
                     $(this).blur();
@@ -745,7 +732,6 @@ function resetArrowMarkers() {
   $('#contextSvgDefs').empty();
 
   defineArrowMarkers($('#gene_color_order').val());
-  //defineArrowMarkers(null, cags=mcags);
   defineArrowMarkers(null, cags=Object.keys(state['highlight-genes']), noneMarker=false);
 }
 
@@ -1404,7 +1390,6 @@ function processState(state_name, state) {
     $('#gene_color_order').val(state['gene-fn-db']);
 
     generateFunctionColorTable(state[state['gene-fn-db'].toLowerCase() + '-colors'], state['gene-fn-db'], highlight_genes=state['highlight-genes'], show_cags_in_split);
-    mcags = Object.keys(state[state['gene-fn-db'].toLowerCase() + '-colors']);
     this.state = state;
 
     if(!state['highlight-genes']) {

From 517c3f81d2b198710f11f975831da6f0eb5e52a0 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 3 Sep 2021 13:15:28 -0500
Subject: [PATCH 0353/1020] load custom functional annotations from state

---
 anvio/data/interactive/js/charts.js | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index 6c40af410c..70b24164b5 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -1379,8 +1379,10 @@ function saveState()
 function processState(state_name, state) {
     // set color defaults
     if(!state['source-colors']) state['source-colors'] = default_source_colors;
-    if(!state['cog_category-colors']) state['cog_category-colors'] = default_COG_colors;
-    if(!state['kegg_class-colors']) state['kegg_class-colors'] = default_KEGG_colors;
+    for(fn of getFunctionalAnnotations()) {
+      let prop = fn.toLowerCase() + '-colors';
+      if(!state[prop]) state[prop] = getColorDefaults(fn);
+    }
 
     if(JSON.parse(localStorage.state) && JSON.parse(localStorage.state)['gene-fn-db']) {
       state['gene-fn-db'] = JSON.parse(localStorage.state)['gene-fn-db'];

From f93d6101060d2c397fa84c71875318b2484285d3 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 3 Sep 2021 13:23:01 -0500
Subject: [PATCH 0354/1020] fix

---
 anvio/data/interactive/js/charts.js | 18 +++---------------
 1 file changed, 3 insertions(+), 15 deletions(-)

diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index 70b24164b5..67ddf9e795 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -744,22 +744,10 @@ function resetArrowMarkers() {
 function resetFunctionColors(fn_colors=null) {
   info("Resetting functional annotation colors");
   if($('#gene_color_order') == null) return;
+  let prop = $('#gene_color_order').val().toLowerCase() + '-colors';
+  Object.assign(state[prop], fn_colors ? fn_colors : getColorDefaults($('#gene_color_order')));
 
-  switch($('#gene_color_order').val()) {
-    case 'Source':
-      Object.assign(state['source-colors'], fn_colors ? fn_colors : default_source_colors);
-      break;
-    case 'COG_CATEGORY':
-    case 'COG14_CATEGORY':
-    case 'COG20_CATEGORY':
-      Object.assign(state['cog_category-colors'], fn_colors ? fn_colors : default_COG_colors);
-      break;
-    case 'KEGG_CLASS':
-      Object.assign(state['kegg_class-colors'], fn_colors ? fn_colors : default_KEGG_colors);
-      break;
-  }
-
-  generateFunctionColorTable(state[$('#gene_color_order').val().toLowerCase() + '-colors'],
+  generateFunctionColorTable(state[prop],
                              $('#gene_color_order').val(),
                              state['highlight-genes'],
                              show_cags_in_split);

From 814ea85fd8f63e9d7a3e3df1c03c155c1e66bcb9 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 3 Sep 2021 16:55:37 -0500
Subject: [PATCH 0355/1020] use correct index for functional annotations

---
 anvio/data/interactive/js/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index 7c1a444b16..12ea9bdee4 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -92,7 +92,7 @@ function getCagForType(geneFunctions, fn_type) {
     case 'KEGG_CLASS':
       return geneFunctions && geneFunctions[fn_type] ? getCategoryForKEGGClass(gene.functions[fn_type][1]) : null;
     default:
-      let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][0] : null;
+      let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][1] : null;
       if(out && out.indexOf(',') != -1) out = out.substr(0,out.indexOf(',')); // take first cag in case of a comma-separated list
       if(out && out.indexOf(';') != -1) out = out.substr(0,out.indexOf(';'));
       if(out && out.indexOf('!!!') != -1) out = out.substr(0,out.indexOf('!!!'));

From 1ee7ceb1e302503f414ed30abd7e90e846c257d1 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 6 Sep 2021 15:41:06 -0500
Subject: [PATCH 0356/1020] `COG_CATEGORIES` and `KEGG_CATEGORIES` are
 deprecated!

---
 anvio/data/interactive/js/charts.js           |  2 +-
 anvio/data/interactive/js/constants.js        | 41 -------------------
 .../data/interactive/js/genomeview/drawer.js  |  9 ++--
 anvio/data/interactive/js/genomeview/ui.js    |  2 +-
 anvio/data/interactive/js/inspectionutils.js  |  1 -
 anvio/data/interactive/js/utils.js            | 20 +--------
 6 files changed, 9 insertions(+), 66 deletions(-)

diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index 67ddf9e795..dfa30757cf 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -567,7 +567,7 @@ function generateFunctionColorTable(fn_colors, fn_type, highlight_genes=null, fi
   }
 
   $('#tbody_function_colors').empty();
-  Object.keys(db).forEach(category => appendColorRow(getCagName(category, fn_type), category, db[category]) );
+  Object.keys(db).forEach(category => appendColorRow(category, category, db[category]) );
 
   $('.colorpicker').colpick({
       layout: 'hex',
diff --git a/anvio/data/interactive/js/constants.js b/anvio/data/interactive/js/constants.js
index e17857a09b..29622ae8fb 100644
--- a/anvio/data/interactive/js/constants.js
+++ b/anvio/data/interactive/js/constants.js
@@ -18,34 +18,6 @@
  * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
  */
 
-var COG_categories = {
-    'A': '[A] RNA processing and modification',
-    'B': '[B] Chromatin Structure and dynamics',
-    'C': '[C] Energy production and conversion',
-    'D': '[D] Cell cycle control and mitosis',
-    'E': '[E] Amino Acid metabolism and transport',
-    'F': '[F] Nucleotide metabolism and transport',
-    'G': '[G] Carbohydrate metabolism and transport',
-    'H': '[H] Coenzyme metabolis',
-    'I': '[I] Lipid metabolism',
-    'J': '[J] Translation',
-    'K': '[K] Transcription',
-    'L': '[L] Replication and repair',
-    'M': '[M] Cell wall/membrane/envelop biogenesis',
-    'N': '[N] Cell motility',
-    'O': '[O] Post-translational modification, protein turnover, chaperone functions',
-    'P': '[P] Inorganic ion transport and metabolism',
-    'Q': '[Q] Secondary Structure',
-    'T': '[T] Signal Transduction',
-    'U': '[U] Intracellular trafficing and secretion',
-    'V': '[V] Defense mechanisms',
-    'W': '[W] Extracellular structures',
-    'Y': '[Y] Nuclear structure',
-    'Z': '[Z] Cytoskeleton',
-    'R': '[R] General Functional Prediction only',
-    'S': '[S] Function Unknown'
-}
-
 var default_COG_colors = {
   'A': '#98d67c',
   'B': '#446af3',
@@ -74,19 +46,6 @@ var default_COG_colors = {
   'S': '#81402e'
 }
 
-var KEGG_categories = {
-  'C': 'Carbohydrate metabolism',
-  'E': 'Energy metabolism',
-  'L': 'Lipid metabolism',
-  'N': 'Nucleotide metabolism',
-  'A': 'Amino acid metabolism',
-  'G': 'Glycan biosynthesis and metabolism',
-  'V': 'Metabolism of cofactors and vitamins',
-  'T': 'Metabolism of terpenoids and polyketides',
-  'S': 'Biosynthesis of other secondary metabolites',
-  'X': 'Xenobiotics biodegradation and metabolism'
-}
-
 var default_KEGG_colors = {
   'C': '#0000ee',
   'E': '#9933cc',
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 42d389e7fa..f16b7a0a63 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -19,8 +19,8 @@
  */
 
 /**
- * File Overview : The Drawer class defined here is responsible for rendering genomic + associated data passed from main.js to an interactive 
- * browser canvas. This is where most of the heavy lifting should happen, and where most of our Fabric.js library interactions should occur. 
+ * File Overview : The Drawer class defined here is responsible for rendering genomic + associated data passed from main.js to an interactive
+ * browser canvas. This is where most of the heavy lifting should happen, and where most of our Fabric.js library interactions should occur.
  */
 var GenomeDrawer = function(settings) {
   this.settings = settings;
@@ -252,7 +252,7 @@ GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
   let functions = this.settings['genomeData']['genomes'][ind][1].genes.functions[geneID];
 
   let color = 'gray';
-  let cag = functions && functions[color_db] ? functions[color_db][1][0] : null;
+  let cag = getCagForType(functions, color_db);
 
   // TODO: use state instead of hardcoded color pickers
 
@@ -262,6 +262,7 @@ GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
     color = $('#picker_' + pickerCode).attr('color');
   } else {
     if(cag) {
+       cag = getCleanCagCode(cag);
        if($('#picker_' + cag).length > 0) color = $('#picker_' + cag).attr('color');
     } else {
       if (gene.source.startsWith('Ribosomal_RNA')) {
@@ -529,4 +530,4 @@ GenomeDrawer.prototype.adjustScaleInterval = function(){
   let newInterval = Math.floor(val/(10**roundToDigits)) * (10**roundToDigits);
   scaleInterval = newInterval;
   $('#genome_scale_interval').val(scaleInterval);
-}
\ No newline at end of file
+}
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index e1d6b384b5..eb33c96be2 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -443,7 +443,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
   }
 
   $('#tbody_function_colors').empty();
-  Object.keys(db).forEach(category => appendColorRow(getCagName(category, fn_type), category, db[category]) );
+  Object.keys(db).forEach(category => appendColorRow(category, category, db[category]) );
 
   $('.colorpicker').colpick({
       layout: 'hex',
diff --git a/anvio/data/interactive/js/inspectionutils.js b/anvio/data/interactive/js/inspectionutils.js
index 138a2e5e0e..a7974cfb08 100644
--- a/anvio/data/interactive/js/inspectionutils.js
+++ b/anvio/data/interactive/js/inspectionutils.js
@@ -400,7 +400,6 @@ function getCustomColorDict(fn_type) {
   delete out["undefined"];
 
   return out;
-  console.log(out);
 }
 
 /*
diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index 12ea9bdee4..1c3a35d508 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -64,22 +64,6 @@ function getClassFromKEGGAnnotation(class_str) {
 // Gene function coloring
 //-----------------------------------------------------------------------------
 
-/*
- *  @returns category name corresponding to a given single-character code, for the approporiate functional annotation type
- */
-function getCagName(category, fn_type) {
-  switch(fn_type) {
-    case 'COG_CATEGORY':
-    case 'COG14_CATEGORY':
-    case 'COG20_CATEGORY':
-      return COG_categories[category];
-    case 'KEGG_CLASS':
-      return KEGG_categories[category];
-    default:
-      return category;
-  }
-}
-
 /*
  *  @returns target gene's category code for a given functional annotation type.
  */
@@ -119,8 +103,8 @@ function getColorDefaults(fn_type) {
   }
 }
 
-function appendColorRow(label, cag, color, prepend=false) {
-  let code = getCleanCagCode(cag);
+function appendColorRow(label, cagCode, color, prepend=false) {
+  let code = getCleanCagCode(cagCode);
   var tbody_content =
    '<tr id="picker_row_' + code + '"> \
       <td></td> \

From 36315aea6b91a45d3a08161369d5b4c33e4f4f10 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 6 Sep 2021 15:42:17 -0500
Subject: [PATCH 0357/1020] Typos

---
 anvio/data/interactive/js/utils.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index 1c3a35d508..a5f47da2fc 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -73,7 +73,7 @@ function getCagForType(geneFunctions, fn_type) {
     case 'COG14_CATEGORY':
     case 'COG20_CATEGORY':
       return geneFunctions && geneFunctions[fn_type] && geneFunctions[fn_type][1][0] != 'X' ? geneFunctions[fn_type][1][0] : null;
-    case 'KEGG_CLASS':
+    case 'KEGG_Class':
       return geneFunctions && geneFunctions[fn_type] ? getCategoryForKEGGClass(gene.functions[fn_type][1]) : null;
     default:
       let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][1] : null;
@@ -93,7 +93,7 @@ function getColorDefaults(fn_type) {
     case 'COG14_CATEGORY':
     case 'COG20_CATEGORY':
       return default_COG_colors;
-    case 'KEGG_CLASS':
+    case 'KEGG_Class':
       return default_KEGG_colors;
     case 'Source':
       return default_source_colors;

From 0c17c856d762b88440e82867903df5f87497e0e8 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 6 Sep 2021 15:46:11 -0500
Subject: [PATCH 0358/1020] cleanup

---
 anvio/data/interactive/js/utils.js | 13 -------------
 1 file changed, 13 deletions(-)

diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index a5f47da2fc..993277857b 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -49,17 +49,6 @@ function getKeyByValue(object, value) {
   return Object.keys(object).find(key => object[key] === value);
 }
 
-function getCategoryForKEGGClass(class_str) {
-  if(class_str == null) return null;
-
-  var category_name = getClassFromKEGGAnnotation(class_str);
-  return getKeyByValue(KEGG_categories, category_name);
-}
-
-function getClassFromKEGGAnnotation(class_str) {
-  return class_str.substring(17, class_str.indexOf(';', 17));
-}
-
 //-----------------------------------------------------------------------------
 // Gene function coloring
 //-----------------------------------------------------------------------------
@@ -73,8 +62,6 @@ function getCagForType(geneFunctions, fn_type) {
     case 'COG14_CATEGORY':
     case 'COG20_CATEGORY':
       return geneFunctions && geneFunctions[fn_type] && geneFunctions[fn_type][1][0] != 'X' ? geneFunctions[fn_type][1][0] : null;
-    case 'KEGG_Class':
-      return geneFunctions && geneFunctions[fn_type] ? getCategoryForKEGGClass(gene.functions[fn_type][1]) : null;
     default:
       let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][1] : null;
       if(out && out.indexOf(',') != -1) out = out.substr(0,out.indexOf(',')); // take first cag in case of a comma-separated list

From 20b258bc0060d5973be7b326c80b0fbaf7f21743 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 6 Sep 2021 15:54:22 -0500
Subject: [PATCH 0359/1020] Comment for clarity

---
 anvio/data/interactive/js/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index 993277857b..e346ebcaac 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -85,7 +85,7 @@ function getColorDefaults(fn_type) {
     case 'Source':
       return default_source_colors;
     default:
-      // user-supplied color table
+      // defer to program-specific implementation for handling user-supplied color tables
       return getCustomColorDict(fn_type);
   }
 }

From 308c93aec8fe81b488faed049fc871fd4482c8ca Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 6 Sep 2021 16:05:05 -0500
Subject: [PATCH 0360/1020] Catch another edge case

---
 anvio/data/interactive/js/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index e346ebcaac..8e6a35c70a 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -110,7 +110,7 @@ function appendColorRow(label, cagCode, color, prepend=false) {
 
 function getCleanCagCode(code) {
   if(!isNaN(code)) return code;
-  return code.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_').split('/').join('_');
+  return code.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_').split('/').join('_').split('+').join('_');
 }
 
 //-----------------------------------------------------------------------------

From 9589a9afbf870e5c181cb4ee45e1d6ddf39938f2 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 7 Sep 2021 15:41:46 +0000
Subject: [PATCH 0361/1020] deprecated

---
 anvio/data/interactive/js/genomeview/main.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index f2fe9db8f3..681b188780 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -76,7 +76,6 @@ function initData() {
       console.log(data);
 
       let genomes = Object.entries(genomeData.genomes) // an array of 2d arrays, where each genome[0] is the object key, and genome[1] is the value
-      genomeData.genomes = genomes // this will be phased out for settings obj below
       settings['genomeData'] = genomeData
       settings['genomeData']['genomes'] = genomes
     }

From f07a51f15fabf9c83d7eed91d9432f7f3cb66427 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 7 Sep 2021 15:43:44 +0000
Subject: [PATCH 0362/1020] better check for ADL items

---
 anvio/data/interactive/js/genomeview/main.js | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 681b188780..9dd07980a0 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -128,17 +128,17 @@ function processState(stateName, stateData) {
   // working under the assumption that all genome groups with contain the same additional data layers,
   // we can query the first genome group for specific ADL and go from there
   buildGroupLayersTable('Genome')
-  if (settings['additional-data-layers'][0]['ruler']) { // TODO fix conditional check, avoid undefined error when obj doesn't exist 
+  if (settings['additional-data-layers'] && settings['additional-data-layers'][0]['ruler']) { // TODO fix conditional check, avoid undefined error when obj doesn't exist 
     buildGroupLayersTable('Ruler')
   }
 
-  if (settings['additional-data-layers'][0]['coverage']) {
+  if (settings['additional-data-layers'] && settings['additional-data-layers'][0]['coverage']) {
     buildGroupLayersTable('Coverage')
     settings['group-layer-order'].push('Coverage')
     maxGroupSize += 1 // increase group size if coverage layer exists
   }
 
-  if (settings['additional-data-layers'][0]['gcContent']) {
+  if (settings['additional-data-layers'] && settings['additional-data-layers'][0]['gcContent']) {
     buildGroupLayersTable('GC_Content')
     settings['group-layer-order'].push('GC_Content')
     maxGroupSize += 1 // increase group size if GC layer exists

From dda1cedd05604e42b0643e26948d4b2009cab348 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 7 Sep 2021 15:44:40 +0000
Subject: [PATCH 0363/1020] cleanup

---
 anvio/data/interactive/js/genomeview/main.js | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 9dd07980a0..a04297a995 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -157,12 +157,10 @@ function processState(stateName, stateData) {
   }
 
   if (stateData.hasOwnProperty('display')) {
-    // TODO process
     settings['display'] = stateData['display']
   } else {
-    stateData['display'] = {}
-    stateData['display']['additionalDataLayers'] = {}
-    settings['display'] = stateData['display']
+    settings['display'] = {}
+    settings['display']['additionalDataLayers'] = {}
   }
   if (stateData['display'].hasOwnProperty('bookmarks')) {
     settings['display']['bookmarks'] = stateData['bookmarks']

From ff16f19ba83e2cfd647f77a483b2af4dd8d7a16f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 8 Sep 2021 15:40:14 +0000
Subject: [PATCH 0364/1020] fix

---
 anvio/data/interactive/js/genomeview/main.js | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index a04297a995..27f409462a 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -162,7 +162,7 @@ function processState(stateName, stateData) {
     settings['display'] = {}
     settings['display']['additionalDataLayers'] = {}
   }
-  if (stateData['display'].hasOwnProperty('bookmarks')) {
+  if (stateData['display'] && stateData['display'].hasOwnProperty('bookmarks')) {
     settings['display']['bookmarks'] = stateData['bookmarks']
     settings['display']['bookmarks'].map(bookmark => {
       $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
@@ -170,8 +170,7 @@ function processState(stateName, stateData) {
     respondToBookmarkSelect()
   } else {
     calculateMaxGenomeLength() // remove later, only here to set max length for bookmark
-    stateData['display']['bookmarks'] = generateMockBookmarks() // for testing purposes
-    settings['display']['bookmarks'] = stateData['display']['bookmarks']
+    settings['display']['bookmarks'] = generateMockBookmarks()
     settings['display']['bookmarks'].map(bookmark => {
       $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
     })

From 290e70b77a6f9c6137dbd81eff999ac1b25c04d1 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 8 Sep 2021 16:20:16 +0000
Subject: [PATCH 0365/1020] hook addGenome into addLayers

---
 .../data/interactive/js/genomeview/drawer.js  | 59 ++++++++++---------
 1 file changed, 31 insertions(+), 28 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index f16b7a0a63..436274e034 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -32,7 +32,6 @@ GenomeDrawer.prototype.draw = function(){
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
 
   settings['genomeData']['genomes'].map((genome, idx) => {
-    this.addGenome(idx)
     this.addLayers(idx)
     labelSpacing += 30
   })
@@ -41,6 +40,36 @@ GenomeDrawer.prototype.draw = function(){
   drawTestShades();
 }
 
+/*
+ *  For each genome group, iterate additional all layers and render where appropriate
+ */
+GenomeDrawer.prototype.addLayers = function(orderIndex){
+  yOffset = orderIndex * spacing;
+  let genomeID = this.settings['genomeData']['genomes'][orderIndex][0];
+  let genome = this.settings['genomeData']['genomes'][orderIndex][1];
+  let label = genome.genes.gene_calls[0].contig;
+
+  let additionalDataLayers = this.settings['additional-data-layers'].find(group => group.genome == label)
+  let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
+
+  this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
+    let layerPos = [spacing / maxGroupSize] * idx
+    console.log(this.settings['group-layer-order'])
+
+    if(layer == 'Genome' && $('#Genome-show').is(':checked')){
+      this.addGenome(orderIndex)
+    }
+    if(layer == 'Ruler' && additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
+      this.buildGroupRulerLayer(genomeID, layerPos, orderIndex)
+    }
+    if(layer == 'Coverage' && additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
+      this.buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', orderIndex)
+    }
+    if(layer == 'GC_Content' && additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
+      this.buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', orderIndex)
+    }
+  })
+}
 GenomeDrawer.prototype.addGenome = function(orderIndex){
   let genome = this.settings['genomeData']['genomes'][orderIndex];
   let gene_list = genome[1].genes.gene_calls;
@@ -110,32 +139,6 @@ GenomeDrawer.prototype.addGenome = function(orderIndex){
   }
 }
 
-/*
- *  For each genome group, iterate additional layers beyond genome and render where appropriate
- */
-GenomeDrawer.prototype.addLayers = function(orderIndex){
-  yOffset = orderIndex * spacing;
-  let genomeID = this.settings['genomeData']['genomes'][orderIndex][0];
-  let genome = this.settings['genomeData']['genomes'][orderIndex][1];
-  let label = genome.genes.gene_calls[0].contig;
-
-  let additionalDataLayers = this.settings['additional-data-layers'].find(group => group.genome == label)
-  let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
-
-  this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
-    let layerPos = [spacing / maxGroupSize] * idx
-
-    if(layer == 'Ruler' && additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
-      this.buildGroupRulerLayer(genomeID, layerPos, orderIndex)
-    }
-    if(layer == 'Coverage' && additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
-      this.buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', orderIndex)
-    }
-    if(layer == 'GC_Content' && additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
-      this.buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', orderIndex)
-    }
-  })
-}
 
 /*
  *  Process to generate numerical ADL for genome groups (ie Coverage, GC Content )
@@ -186,7 +189,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genom
 GenomeDrawer.prototype.buildGroupRulerLayer = function(genomeID, layerPos, orderIndex){
   let startingTop = marginTop + yOffset + layerPos
   let startingLeft = xDisps[genomeID]
-  let layerHeight = spacing / maxGroupSize
+  let layerHeight = [spacing / maxGroupSize]
 
   // split ruler into several objects to avoid performance cost of large object pixel size
   let nRulers = 20;

From 3b9aae302b4ef347fc8d8f5fa1c145c5fdff90e4 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 8 Sep 2021 16:20:31 +0000
Subject: [PATCH 0366/1020] clean

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 436274e034..2cbeb9b188 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -54,7 +54,6 @@ GenomeDrawer.prototype.addLayers = function(orderIndex){
 
   this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
     let layerPos = [spacing / maxGroupSize] * idx
-    console.log(this.settings['group-layer-order'])
 
     if(layer == 'Genome' && $('#Genome-show').is(':checked')){
       this.addGenome(orderIndex)

From 76fd8aed535a4dd520d093645263f38ff7f559a8 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 8 Sep 2021 16:20:55 +0000
Subject: [PATCH 0367/1020] use the right obj

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 2cbeb9b188..31adc21b86 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -31,7 +31,7 @@ GenomeDrawer.prototype.draw = function(){
   labelSpacing = 30 // reset to default value upon each draw() call
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
 
-  settings['genomeData']['genomes'].map((genome, idx) => {
+  this.settings['genomeData']['genomes'].map((genome, idx) => {
     this.addLayers(idx)
     labelSpacing += 30
   })

From 5df90cf0266a33997571a69ac2e96722e70014ae Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 8 Sep 2021 16:22:45 +0000
Subject: [PATCH 0368/1020] redundant

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 31adc21b86..d2af8ceb65 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -245,7 +245,6 @@ GenomeDrawer.prototype.addBackgroundShade = function(top, left, width, height, o
     selectable: false,
     opacity : .5
   });
-  canvas.add(background)
   canvas.sendToBack(background)
 }
 

From 67a3f7c60ff4e56d87068aef2711b6c7b8bc037e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 8 Sep 2021 19:29:07 +0000
Subject: [PATCH 0369/1020] calculate layer heights dynamically!

---
 .../data/interactive/js/genomeview/drawer.js  | 46 +++++++++++++------
 1 file changed, 31 insertions(+), 15 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index d2af8ceb65..84d63f0c2a 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -44,7 +44,10 @@ GenomeDrawer.prototype.draw = function(){
  *  For each genome group, iterate additional all layers and render where appropriate
  */
 GenomeDrawer.prototype.addLayers = function(orderIndex){
+  let [dataLayerHeight, rulerHeight] = [this.calculateLayerSizes()[0], this.calculateLayerSizes()[1]]
+
   yOffset = orderIndex * spacing;
+  let layerPos = 0
   let genomeID = this.settings['genomeData']['genomes'][orderIndex][0];
   let genome = this.settings['genomeData']['genomes'][orderIndex][1];
   let label = genome.genes.gene_calls[0].contig;
@@ -53,30 +56,44 @@ GenomeDrawer.prototype.addLayers = function(orderIndex){
   let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
 
   this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
-    let layerPos = [spacing / maxGroupSize] * idx
-
     if(layer == 'Genome' && $('#Genome-show').is(':checked')){
-      this.addGenome(orderIndex)
-    }
-    if(layer == 'Ruler' && additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
-      this.buildGroupRulerLayer(genomeID, layerPos, orderIndex)
+      this.addGenome(orderIndex, dataLayerHeight)
+      layerPos += dataLayerHeight
     }
     if(layer == 'Coverage' && additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
-      this.buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', orderIndex)
+      this.buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', dataLayerHeight, orderIndex)
+      layerPos += dataLayerHeight
     }
     if(layer == 'GC_Content' && additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
-      this.buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', orderIndex)
+      this.buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', dataLayerHeight, orderIndex)
+      layerPos += dataLayerHeight
+    }
+    if(layer == 'Ruler' && additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
+      this.buildGroupRulerLayer(genomeID, layerPos, rulerHeight, orderIndex)
+      layerPos += rulerHeight
     }
   })
 }
-GenomeDrawer.prototype.addGenome = function(orderIndex){
+
+/*
+ *  programmatically calculate layer height values, given that the ruler layer should be allocated comparatively less space
+ */
+GenomeDrawer.prototype.calculateLayerSizes = function(){
+  let parityHeight = spacing / maxGroupSize
+  let rulerHeight = Math.floor(parityHeight * .7) // some arbitrary percentage of parity since ruler should get less y-axis space
+
+  // with the extra space carved out by a smaller rulerHeight, distribute the excess evenly amongst all layers that are NOT rulers
+  let dataLayerHeight = Math.floor(parityHeight * (1 + (.3 / (maxGroupSize -1))) )
+  return [dataLayerHeight, rulerHeight]
+}
+
+GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight){
   let genome = this.settings['genomeData']['genomes'][orderIndex];
   let gene_list = genome[1].genes.gene_calls;
   let genomeLabel = gene_list[0].contig;
   let genomeID = genome[0];
   let y = marginTop + orderIndex*spacing;
 
-  let layerHeight = spacing / maxGroupSize
   if(showLabels) {
     canvas.add(new fabric.Text(genomeLabel, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
   }
@@ -142,11 +159,10 @@ GenomeDrawer.prototype.addGenome = function(orderIndex){
 /*
  *  Process to generate numerical ADL for genome groups (ie Coverage, GC Content )
  */
-GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor, orderIndex){
-  let maxGCValue = 0
+GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor, layerHeight, orderIndex){
+    let maxGCValue = 0
     let startingTop = marginTop + yOffset + layerPos
     let startingLeft = xDisps[genomeID]
-    let layerHeight = spacing / maxGroupSize
     let pathDirective = [`M 0 0`]
 
     for(let i = 0; i < additionalDataLayers[layer].length; i++){
@@ -185,10 +201,10 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genom
 /*
  *  Generate individual genome group rulers
  */
-GenomeDrawer.prototype.buildGroupRulerLayer = function(genomeID, layerPos, orderIndex){
+GenomeDrawer.prototype.buildGroupRulerLayer = function(genomeID, layerPos, layerHeight, orderIndex){
   let startingTop = marginTop + yOffset + layerPos
   let startingLeft = xDisps[genomeID]
-  let layerHeight = [spacing / maxGroupSize]
+  // let layerHeight = (spacing / maxGroupSize)
 
   // split ruler into several objects to avoid performance cost of large object pixel size
   let nRulers = 20;

From 2234d9adc18dda857983be83246ac50eb69c870d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 8 Sep 2021 19:33:24 +0000
Subject: [PATCH 0370/1020] i like these values better

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 84d63f0c2a..d4dfd131c7 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -80,10 +80,10 @@ GenomeDrawer.prototype.addLayers = function(orderIndex){
  */
 GenomeDrawer.prototype.calculateLayerSizes = function(){
   let parityHeight = spacing / maxGroupSize
-  let rulerHeight = Math.floor(parityHeight * .7) // some arbitrary percentage of parity since ruler should get less y-axis space
+  let rulerHeight = Math.floor(parityHeight * .5) // some arbitrary percentage of parity since ruler should get less y-axis space
 
   // with the extra space carved out by a smaller rulerHeight, distribute the excess evenly amongst all layers that are NOT rulers
-  let dataLayerHeight = Math.floor(parityHeight * (1 + (.3 / (maxGroupSize -1))) )
+  let dataLayerHeight = Math.floor(parityHeight * (1 + (.5 / (maxGroupSize -1))) )
   return [dataLayerHeight, rulerHeight]
 }
 

From 258c7607ab3c7082dcde8adf7e08d79d58327285 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 8 Sep 2021 14:50:23 -0500
Subject: [PATCH 0371/1020] Fix

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 84d63f0c2a..093455bc67 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -533,7 +533,6 @@ GenomeDrawer.prototype.setGenomeLabelSize = function(newSize){
 GenomeDrawer.prototype.redrawSingleGenome = function(genomeID){
   canvas.getObjects().filter(o => o.groupID == genomeID).forEach(obj => canvas.remove(obj));
   let idx = this.settings['genomeData']['genomes'].findIndex(obj => obj[0] == genomeID);
-  this.addGenome(idx);
   this.addLayers(idx);
   checkGeneLabels();
 }

From 3aca8de36e3627491310f1696d2df58bf24276ce Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 8 Sep 2021 19:58:02 +0000
Subject: [PATCH 0372/1020] cleanup

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 --
 1 file changed, 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index b6da03cfb8..5551633619 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -154,8 +154,6 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight){
     }
   }
 }
-
-
 /*
  *  Process to generate numerical ADL for genome groups (ie Coverage, GC Content )
  */

From 053e588a6d5882bb526616bda79d225ece4d4f33 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 8 Sep 2021 14:58:45 -0500
Subject: [PATCH 0373/1020] more accurate gene color header

---
 anvio/data/interactive/genomeview.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index ee47b55976..99538aa55b 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -232,7 +232,7 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                             <thead id="thead_function_colors">
                               <td></td>
                               <td data-help="function-color"><div style="width: 32px;"><b>Color</b></div></td>
-                              <td data-help="function-category"><b>Category</b></td>
+                              <td data-help="function-category"><b>Annotation</b></td>
                             </thead>
                             <tbody id="tbody_function_colors"></tbody>
                           </table>

From 4838f6eca3751802cbb053430315aaa73f84acfe Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 9 Sep 2021 17:16:46 +0000
Subject: [PATCH 0374/1020] note to self :)

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 5551633619..c6c047c6e3 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -321,7 +321,7 @@ GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
     gene: gene,
     geneID: geneID,
     genomeID: genomeID,
-    top: style == 3 ? y-17 : y-11,
+    top: style == 3 ? y-17 : y-11, // TODO update this offset to reflect genome layer height (we want to render this arrow in the middle of its allocated height)
     left: xDisps[genomeID] + (1.5+gene.start)*scaleFactor,
     fill: color,
     stroke: 'gray',

From 7678cd8fbba4d2a1a998676a09fb9c01d94854c3 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 9 Sep 2021 17:26:22 -0500
Subject: [PATCH 0375/1020] another edge case for fn annotation codes

---
 anvio/data/interactive/js/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index 8e6a35c70a..6bd5f36e18 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -110,7 +110,7 @@ function appendColorRow(label, cagCode, color, prepend=false) {
 
 function getCleanCagCode(code) {
   if(!isNaN(code)) return code;
-  return code.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_').split('/').join('_').split('+').join('_');
+  return code.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_').split('/').join('_').split('+').join('_').split('.').join('_');
 }
 
 //-----------------------------------------------------------------------------

From b8cc873e9682620f24108f8d3dc08bdb32676f41 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 10 Sep 2021 00:37:11 -0500
Subject: [PATCH 0376/1020] Show counts on gene color table + sort by counts or
 alphabetically

---
 anvio/data/interactive/js/genomeview/ui.js    | 49 +++++++++++++------
 anvio/data/interactive/js/genomeview/utils.js | 17 ++++---
 anvio/data/interactive/js/inspectionutils.js  | 13 ++---
 3 files changed, 50 insertions(+), 29 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index eb33c96be2..a182d928e7 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -417,33 +417,50 @@ function changeGenomeOrder(updatedOrder){
  *  @param fn_type :         string indicating function category type
  *  @param highlight_genes : array of format [{genomeID: 'g01', geneID: 3, color: '#FF0000'}, ...] to override other coloring for specific genes
  *  @param filter_to_split : if true, filters categories to only those shown in the split
+ *  @param sort_by_count   : if true, sort annotations by # occurrences, otherwise sort alphabetically
  */
-function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=true) {
-  // TODO: consider call_type? see inspectionalutils.js for how this was dealt with earlier
-
-  let db = getColorDefaults(fn_type ? fn_type : 'Source');
-  if(db == null) return;
-  // Override default values with any values supplied to fn_colors
-  if(fn_colors) {
-    Object.keys(db).forEach(cag => { if(Object.keys(fn_colors).includes(cag)) db[cag] = fn_colors[cag] });
-  }
+function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=true, sort_by_count=false) {
+  let db, counts;
+  if(fn_type == 'Source') {
+    db = default_source_colors;
+  } else {
+    counts = [];
 
-  if(filter_to_split && fn_type != 'Source') {
-    let save = [];
+    // Traverse categories
     for(genome of settings['genomeData']['genomes']) {
       let geneFuns = Object.values(genome[1].genes.functions);
       for(funs of geneFuns) {
         let cag = getCagForType(funs, fn_type);
-        if(cag && !save.includes(cag)) save.push(cag);
+        counts.push(cag ? cag : "Other");
       }
     }
-    Object.keys(db).forEach((cag, color) => {
-      if(!save.includes(cag)) delete db[cag];
-    });
+
+    // Get counts for each category
+    counts = counts.reduce((counts, val) => {
+      counts[val] = counts[val] ? counts[val]+1 : 1;
+      return counts;
+    }, {});
+
+    // Sort categories
+    counts = Object.fromEntries(
+      Object.entries(counts).sort(function(first, second) {
+        return sort_by_count ? second[1] - first[1] : first[0].localeCompare(second[0]);
+      })
+    );
+
+    // Create custom color dict from categories
+    db = getCustomColorDict(fn_type, cags=Object.keys(counts));
+  }
+
+  // Override default values with any values supplied to fn_colors
+  if(fn_colors) {
+    Object.keys(db).forEach(cag => { if(Object.keys(fn_colors).includes(cag)) db[cag] = fn_colors[cag] });
   }
 
   $('#tbody_function_colors').empty();
-  Object.keys(db).forEach(category => appendColorRow(category, category, db[category]) );
+  Object.keys(db).forEach(category =>
+    appendColorRow(fn_type == 'Source' ? category : category + " (" + counts[category] + ")", category, db[category])
+  );
 
   $('.colorpicker').colpick({
       layout: 'hex',
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index ff9e557eb7..aac78669ce 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -174,21 +174,24 @@ function getFunctionalAnnotations() {
 /*
  *  @returns arbitrary category:color dict given a list of categories
  */
-function getCustomColorDict(fn_type) {
+function getCustomColorDict(fn_type, cags=null) {
   if(!Object.keys(genomeData.genomes[0][1].genes.functions[0]).includes(fn_type)) return null;
 
-  let cags = [];
-  genomeData.genomes.forEach(genome => {
-    Object.values(genome[1].genes.functions).forEach(fn => {
-      let cag = getCagForType(fn, fn_type);
-      if(cag && !cags.includes(cag)) cags.push(cag);
+  if(!cags) {
+    cags = [];
+    genomeData.genomes.forEach(genome => {
+      Object.values(genome[1].genes.functions).forEach(fn => {
+        let cag = getCagForType(fn, fn_type);
+        if(cag && !cags.includes(cag)) cags.push(cag);
+      });
     });
-  });
+  }
 
   let out = custom_cag_colors.reduce((out, field, index) => {
     out[cags[index]] = field;
     return out;
   }, {});
+  out["Other"] = "#808080";
   delete out["undefined"];
 
   return out;
diff --git a/anvio/data/interactive/js/inspectionutils.js b/anvio/data/interactive/js/inspectionutils.js
index a7974cfb08..171a5685f2 100644
--- a/anvio/data/interactive/js/inspectionutils.js
+++ b/anvio/data/interactive/js/inspectionutils.js
@@ -386,17 +386,18 @@ function getGeneEndpts(_start, _stop) {
 /*
  *  @returns arbitrary category:color dict given a list of categories
  */
-function getCustomColorDict(fn_type) {
-  let genes = geneParser["data"];
-
-  let cags = Object.values(geneParser["data"]).map(gene => gene.functions ? getCagForType(gene.functions, fn_type) : null)
-                                              .filter(o => o != null);
-  cags = cags.filter((item, i) => { return cags.indexOf(item) == i }); // remove duplicates
+function getCustomColorDict(fn_type, cags=null) {
+  if(!cags) {
+    cags = Object.values(geneParser["data"]).map(gene => gene.functions ? getCagForType(gene.functions, fn_type) : null)
+                                                .filter(o => o != null);
+    cags = cags.filter((item, i) => { return cags.indexOf(item) == i }); // remove duplicates
+  }
 
   let out = custom_cag_colors.reduce((out, field, index) => {
     out[cags[index]] = field;
     return out;
   }, {});
+  out["Other"] = "#808080";
   delete out["undefined"];
 
   return out;

From 3e2553aec9574af155119b70c4c0d2f318c95e7c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 10 Sep 2021 01:04:39 -0500
Subject: [PATCH 0377/1020] add param for min # occurrences to include gene
 color

---
 anvio/data/interactive/js/genomeview/ui.js | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index a182d928e7..4a0d0ae56d 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -418,8 +418,9 @@ function changeGenomeOrder(updatedOrder){
  *  @param highlight_genes : array of format [{genomeID: 'g01', geneID: 3, color: '#FF0000'}, ...] to override other coloring for specific genes
  *  @param filter_to_split : if true, filters categories to only those shown in the split
  *  @param sort_by_count   : if true, sort annotations by # occurrences, otherwise sort alphabetically
+ *  @param thresh_count    : int indicating min # occurences required for a given category to be included in the table
  */
-function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=true, sort_by_count=false) {
+function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=true, sort_by_count=true, thresh_count = 2) {
   let db, counts;
   if(fn_type == 'Source') {
     db = default_source_colors;
@@ -441,13 +442,12 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
       return counts;
     }, {});
 
-    // Sort categories
+    // Filter by count + sort categories
     counts = Object.fromEntries(
-      Object.entries(counts).sort(function(first, second) {
+      Object.entries(counts).filter(([cag, count]) => count > thresh_count).sort(function(first, second) {
         return sort_by_count ? second[1] - first[1] : first[0].localeCompare(second[0]);
       })
     );
-
     // Create custom color dict from categories
     db = getCustomColorDict(fn_type, cags=Object.keys(counts));
   }

From 100363c1aab8ceb292394272c8e4a9a1c0d49ef2 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 10 Sep 2021 18:11:58 +0000
Subject: [PATCH 0378/1020] render gene arrows in center of genome layer
 vertical space

---
 anvio/data/interactive/js/genomeview/drawer.js | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index c6c047c6e3..4830e64246 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -57,7 +57,7 @@ GenomeDrawer.prototype.addLayers = function(orderIndex){
 
   this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
     if(layer == 'Genome' && $('#Genome-show').is(':checked')){
-      this.addGenome(orderIndex, dataLayerHeight)
+      this.addGenome(orderIndex, dataLayerHeight, layerPos)
       layerPos += dataLayerHeight
     }
     if(layer == 'Coverage' && additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
@@ -87,12 +87,12 @@ GenomeDrawer.prototype.calculateLayerSizes = function(){
   return [dataLayerHeight, rulerHeight]
 }
 
-GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight){
+GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
   let genome = this.settings['genomeData']['genomes'][orderIndex];
   let gene_list = genome[1].genes.gene_calls;
   let genomeLabel = gene_list[0].contig;
   let genomeID = genome[0];
-  let y = marginTop + orderIndex*spacing;
+  let y = marginTop + yOffset + layerPos + (layerHeight / 2) // render arrows in the center of genome layer's allotted vertical space
 
   if(showLabels) {
     canvas.add(new fabric.Text(genomeLabel, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
@@ -114,7 +114,7 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight){
         hasBorders: false,
         lockScaling: true});
   canvas.add(lineObj);
-  this.addBackgroundShade(y, start, genomeMax, layerHeight, orderIndex)
+  this.addBackgroundShade((marginTop + yOffset + layerPos), start, genomeMax, layerHeight, orderIndex)
 
   for(let geneID in gene_list) {
     let gene = gene_list[geneID];

From 90b79edb7e14655bc2aa9768d8f0e0e75e3a9c06 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 10 Sep 2021 18:13:32 +0000
Subject: [PATCH 0379/1020] by default, data layers render above genome + ruler
 layers

---
 anvio/data/interactive/js/genomeview/main.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 27f409462a..6d7f31ab61 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -134,13 +134,13 @@ function processState(stateName, stateData) {
 
   if (settings['additional-data-layers'] && settings['additional-data-layers'][0]['coverage']) {
     buildGroupLayersTable('Coverage')
-    settings['group-layer-order'].push('Coverage')
+    settings['group-layer-order'].unshift('Coverage')
     maxGroupSize += 1 // increase group size if coverage layer exists
   }
 
   if (settings['additional-data-layers'] && settings['additional-data-layers'][0]['gcContent']) {
     buildGroupLayersTable('GC_Content')
-    settings['group-layer-order'].push('GC_Content')
+    settings['group-layer-order'].unshift('GC_Content')
     maxGroupSize += 1 // increase group size if GC layer exists
   }
 

From 264aea6c1151c6534f423614b4ae53e2922c7f7f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 10 Sep 2021 18:17:36 +0000
Subject: [PATCH 0380/1020] build group layers table based on current layer
 order

---
 anvio/data/interactive/js/genomeview/main.js | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 6d7f31ab61..73e1cdcff7 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -127,23 +127,21 @@ function processState(stateName, stateData) {
 
   // working under the assumption that all genome groups with contain the same additional data layers,
   // we can query the first genome group for specific ADL and go from there
-  buildGroupLayersTable('Genome')
-  if (settings['additional-data-layers'] && settings['additional-data-layers'][0]['ruler']) { // TODO fix conditional check, avoid undefined error when obj doesn't exist 
-    buildGroupLayersTable('Ruler')
-  }
 
   if (settings['additional-data-layers'] && settings['additional-data-layers'][0]['coverage']) {
-    buildGroupLayersTable('Coverage')
     settings['group-layer-order'].unshift('Coverage')
     maxGroupSize += 1 // increase group size if coverage layer exists
   }
 
   if (settings['additional-data-layers'] && settings['additional-data-layers'][0]['gcContent']) {
-    buildGroupLayersTable('GC_Content')
     settings['group-layer-order'].unshift('GC_Content')
     maxGroupSize += 1 // increase group size if GC layer exists
   }
 
+  settings['group-layer-order'].map(layer => {
+    buildGroupLayersTable(layer)
+  })
+
   if (stateData.hasOwnProperty('genome-order-method')) {
     settings['genome-order-method'] = stateData['genome-order-method']
     settings['genome-order-method'].forEach(orderMethod => {

From 3c65d7ab4180f6703b75417cec2c2c0f90f2d291 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 10 Sep 2021 18:14:10 -0500
Subject: [PATCH 0381/1020] don't use defaults for any fn annotation type

---
 anvio/data/interactive/js/utils.js | 17 +++++------------
 1 file changed, 5 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index 6bd5f36e18..8d033344a0 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -57,18 +57,11 @@ function getKeyByValue(object, value) {
  *  @returns target gene's category code for a given functional annotation type.
  */
 function getCagForType(geneFunctions, fn_type) {
-  switch(fn_type) {
-    case 'COG_CATEGORY':
-    case 'COG14_CATEGORY':
-    case 'COG20_CATEGORY':
-      return geneFunctions && geneFunctions[fn_type] && geneFunctions[fn_type][1][0] != 'X' ? geneFunctions[fn_type][1][0] : null;
-    default:
-      let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][1] : null;
-      if(out && out.indexOf(',') != -1) out = out.substr(0,out.indexOf(',')); // take first cag in case of a comma-separated list
-      if(out && out.indexOf(';') != -1) out = out.substr(0,out.indexOf(';'));
-      if(out && out.indexOf('!!!') != -1) out = out.substr(0,out.indexOf('!!!'));
-      return out;
-  }
+  let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][1] : null;
+  if(out && out.indexOf(',') != -1) out = out.substr(0,out.indexOf(',')); // take first cag in case of a comma-separated list
+  if(out && out.indexOf(';') != -1) out = out.substr(0,out.indexOf(';'));
+  if(out && out.indexOf('!!!') != -1) out = out.substr(0,out.indexOf('!!!'));
+  return out;
 }
 
 /*

From ce0d4d847928644f64e9126e4c1096c9b8f5e7f6 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 10 Sep 2021 18:15:47 -0500
Subject: [PATCH 0382/1020] color genes without functions using "Other"
 annotation

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 anvio/data/interactive/js/genomeview/ui.js     | 6 +++---
 anvio/data/interactive/js/genomeview/utils.js  | 3 ++-
 3 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 4830e64246..b4367499e6 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -266,7 +266,7 @@ GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
   let ind = this.settings['genomeData']['genomes'].findIndex(g => g[0] == genomeID);
   let functions = this.settings['genomeData']['genomes'][ind][1].genes.functions[geneID];
 
-  let color = 'gray';
+  let color = $('#picker_Other').attr('color') ? $('#picker_Other').attr('color') : 'gray';
   let cag = getCagForType(functions, color_db);
 
   // TODO: use state instead of hardcoded color pickers
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 4a0d0ae56d..503ff83845 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -429,9 +429,9 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
 
     // Traverse categories
     for(genome of settings['genomeData']['genomes']) {
-      let geneFuns = Object.values(genome[1].genes.functions);
-      for(funs of geneFuns) {
-        let cag = getCagForType(funs, fn_type);
+      let geneFuns = genome[1].genes.functions;
+      for(let i = 0; i < Object.keys(geneFuns)[Object.keys(geneFuns).length-1]; i++) {
+        let cag = getCagForType(geneFuns[i], fn_type);
         counts.push(cag ? cag : "Other");
       }
     }
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index aac78669ce..c586588fcd 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -183,6 +183,7 @@ function getCustomColorDict(fn_type, cags=null) {
       Object.values(genome[1].genes.functions).forEach(fn => {
         let cag = getCagForType(fn, fn_type);
         if(cag && !cags.includes(cag)) cags.push(cag);
+        if(!cag && !cags.includes("Other")) cags.push("Other");
       });
     });
   }
@@ -191,7 +192,7 @@ function getCustomColorDict(fn_type, cags=null) {
     out[cags[index]] = field;
     return out;
   }, {});
-  out["Other"] = "#808080";
+  if(cags["Other"]) out["Other"] = "#808080";
   delete out["undefined"];
 
   return out;

From 0ca678c327e0a68b21153240ed178794e0f80545 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 10 Sep 2021 18:34:53 -0500
Subject: [PATCH 0383/1020] "other" is always the last row on the color table

---
 anvio/data/interactive/js/genomeview/utils.js | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index c586588fcd..f37d1bb212 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -187,13 +187,15 @@ function getCustomColorDict(fn_type, cags=null) {
       });
     });
   }
+  
+  // move "Other" to end of list
+  if(cags.includes("Other")) cags.push(cags.splice(cags.indexOf("Other"), 1)[0]);
 
   let out = custom_cag_colors.reduce((out, field, index) => {
     out[cags[index]] = field;
     return out;
   }, {});
-  if(cags["Other"]) out["Other"] = "#808080";
+  if(out["Other"]) out["Other"] = "#808080";
   delete out["undefined"];
-
   return out;
 }

From eb4191eb3a2212bd8abad95f3b78ff55aaae4385 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 13 Sep 2021 21:38:50 -0500
Subject: [PATCH 0384/1020] Add gene function count to 'Other' when filtered
 out of color table

---
 anvio/data/interactive/js/genomeview/ui.js | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 503ff83845..0f80b1f6f5 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -420,7 +420,7 @@ function changeGenomeOrder(updatedOrder){
  *  @param sort_by_count   : if true, sort annotations by # occurrences, otherwise sort alphabetically
  *  @param thresh_count    : int indicating min # occurences required for a given category to be included in the table
  */
-function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=true, sort_by_count=true, thresh_count = 2) {
+function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=true, sort_by_count=true, thresh_count = 4) {
   let db, counts;
   if(fn_type == 'Source') {
     db = default_source_colors;
@@ -442,9 +442,17 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
       return counts;
     }, {});
 
+    for(c of Object.keys(counts)) {
+      if(counts[c] < thresh_count) {
+        if(!counts["Other"]) counts["Other"] = 0;
+        counts["Other"] += counts[c];
+        delete counts[c];
+      }
+    }
+
     // Filter by count + sort categories
     counts = Object.fromEntries(
-      Object.entries(counts).filter(([cag, count]) => count > thresh_count).sort(function(first, second) {
+      Object.entries(counts).sort(function(first, second) {
         return sort_by_count ? second[1] - first[1] : first[0].localeCompare(second[0]);
       })
     );

From a6dcee0a5aaddb8b7d46a791cab28aecddad2d08 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 13 Sep 2021 21:46:53 -0500
Subject: [PATCH 0385/1020] cleaner

---
 anvio/data/interactive/js/genomeview/ui.js | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 0f80b1f6f5..29b625443c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -442,20 +442,20 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
       return counts;
     }, {});
 
-    for(c of Object.keys(counts)) {
-      if(counts[c] < thresh_count) {
-        if(!counts["Other"]) counts["Other"] = 0;
-        counts["Other"] += counts[c];
-        delete counts[c];
-      }
-    }
-
     // Filter by count + sort categories
+    let count_removed = 0;
     counts = Object.fromEntries(
-      Object.entries(counts).sort(function(first, second) {
+      Object.entries(counts).filter(([cag,count]) => {
+        if(count < thresh_count) count_removed += count;
+        return count >= thresh_count || cag == "Other";
+      }).sort(function(first, second) {
         return sort_by_count ? second[1] - first[1] : first[0].localeCompare(second[0]);
       })
     );
+    if(count_removed > 0) {
+      if(!counts["Other"]) counts["Other"] = 0;
+      counts["Other"] += count_removed;
+    }
     // Create custom color dict from categories
     db = getCustomColorDict(fn_type, cags=Object.keys(counts));
   }

From bd8c73de43145a4d10d5c6b6f99d6b4c78236106 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 13 Sep 2021 22:01:57 -0500
Subject: [PATCH 0386/1020] include 'None' annotation in case of no gene
 functions

---
 anvio/data/interactive/js/genomeview/drawer.js |  5 +++--
 anvio/data/interactive/js/genomeview/ui.js     | 10 ++++------
 anvio/data/interactive/js/genomeview/utils.js  | 10 ++++++----
 3 files changed, 13 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index b4367499e6..1d75e16f8c 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -266,7 +266,7 @@ GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
   let ind = this.settings['genomeData']['genomes'].findIndex(g => g[0] == genomeID);
   let functions = this.settings['genomeData']['genomes'][ind][1].genes.functions[geneID];
 
-  let color = $('#picker_Other').attr('color') ? $('#picker_Other').attr('color') : 'gray';
+  let color = $('#picker_None').length > 0 ? $('#picker_None').attr('color') : 'gray';
   let cag = getCagForType(functions, color_db);
 
   // TODO: use state instead of hardcoded color pickers
@@ -278,7 +278,8 @@ GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
   } else {
     if(cag) {
        cag = getCleanCagCode(cag);
-       if($('#picker_' + cag).length > 0) color = $('#picker_' + cag).attr('color');
+       let color_other = $('#picker_Other').length > 0 ? $('#picker_Other').attr('color') : 'white';
+       color = $('#picker_' + cag).length > 0 ? $('#picker_' + cag).attr('color') : color_other;
     } else {
       if (gene.source.startsWith('Ribosomal_RNA')) {
         cag = 'rRNA';
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 29b625443c..bc10cad25a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -432,7 +432,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
       let geneFuns = genome[1].genes.functions;
       for(let i = 0; i < Object.keys(geneFuns)[Object.keys(geneFuns).length-1]; i++) {
         let cag = getCagForType(geneFuns[i], fn_type);
-        counts.push(cag ? cag : "Other");
+        counts.push(cag ? cag : "None");
       }
     }
 
@@ -447,15 +447,13 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
     counts = Object.fromEntries(
       Object.entries(counts).filter(([cag,count]) => {
         if(count < thresh_count) count_removed += count;
-        return count >= thresh_count || cag == "Other";
+        return count >= thresh_count || cag == "None";
       }).sort(function(first, second) {
         return sort_by_count ? second[1] - first[1] : first[0].localeCompare(second[0]);
       })
     );
-    if(count_removed > 0) {
-      if(!counts["Other"]) counts["Other"] = 0;
-      counts["Other"] += count_removed;
-    }
+    if(count_removed > 0) counts["Other"] = count_removed;
+
     // Create custom color dict from categories
     db = getCustomColorDict(fn_type, cags=Object.keys(counts));
   }
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index f37d1bb212..dfd2a6a7a5 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -183,19 +183,21 @@ function getCustomColorDict(fn_type, cags=null) {
       Object.values(genome[1].genes.functions).forEach(fn => {
         let cag = getCagForType(fn, fn_type);
         if(cag && !cags.includes(cag)) cags.push(cag);
-        if(!cag && !cags.includes("Other")) cags.push("Other");
+        if(!cag && !cags.includes("None")) cags.push("None");
       });
     });
   }
-  
-  // move "Other" to end of list
+
+  // move "Other" and "None" to end of list
   if(cags.includes("Other")) cags.push(cags.splice(cags.indexOf("Other"), 1)[0]);
+  if(cags.includes("None")) cags.push(cags.splice(cags.indexOf("None"), 1)[0]);
 
   let out = custom_cag_colors.reduce((out, field, index) => {
     out[cags[index]] = field;
     return out;
   }, {});
-  if(out["Other"]) out["Other"] = "#808080";
+  if(out["Other"]) out["Other"] = "#FFFFFF";
+  if(out["None"]) out["None"] = "#808080";
   delete out["undefined"];
   return out;
 }

From 35cc91a448062fc721f378be311b22a8dcadb5f5 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 14 Sep 2021 18:13:09 +0000
Subject: [PATCH 0387/1020] remove color picker for ruler + genome layers

---
 anvio/data/interactive/js/genomeview/ui.js | 28 +++++++++++++++-------
 1 file changed, 20 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index bc10cad25a..244cf6bf00 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -311,14 +311,26 @@ function buildGenomesTable(genomes, order){
 function buildGroupLayersTable(layerLabel){
   var height = '50';
   var margin = '25';
-  var template = '<tr id={layerLabel}>' +
-                  '<td><img src="images/drag.gif" class="drag-icon" id={layerLabel} /></td>' +
-                  '<td> {layerLabel} </td>' +
-                  '<td><div id="{layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: #FFFFFF" color="#FFFFFF"></div></td>' +
-                  '<td>n/a</td>' +
-                  '<td>n/a</td>' +
-                  '<td><input type="checkbox" class="additional_selectors" id={layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>' +
-                  '</tr>';
+  console.log(layerLabel)
+  if(layerLabel === 'Ruler' || layerLabel === 'Genome'){
+    var template = '<tr id={layerLabel}>' +
+                    '<td><img src="images/drag.gif" class="drag-icon" id={layerLabel} /></td>' +
+                    '<td> {layerLabel} </td>' +
+                    '<td style="margin-left: 5px;"> n/a </td>' +
+                    '<td>n/a</td>' +
+                    '<td>n/a</td>' +
+                    '<td><input type="checkbox" class="additional_selectors" id={layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>' +
+                    '</tr>';
+  } else {
+    var template = '<tr id={layerLabel}>' +
+                    '<td><img src="images/drag.gif" class="drag-icon" id={layerLabel} /></td>' +
+                    '<td> {layerLabel} </td>' +
+                    '<td><div id="{layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: #FFFFFF" color="#FFFFFF"></div></td>' +
+                    '<td>n/a</td>' +
+                    '<td>n/a</td>' +
+                    '<td><input type="checkbox" class="additional_selectors" id={layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>' +
+                    '</tr>';
+  }
   template = template.replace(new RegExp('{height}', 'g'), height)
                       .replace(new RegExp('{margin}', 'g'), margin)
                       .replace(new RegExp('{layerLabel}', 'g'), layerLabel);

From 858332765d5a9ce1459e38699483a68e35e7bfe0 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 14 Sep 2021 18:14:12 +0000
Subject: [PATCH 0388/1020] cleanup

---
 anvio/data/interactive/js/genomeview/ui.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 244cf6bf00..a84db36f21 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -311,7 +311,6 @@ function buildGenomesTable(genomes, order){
 function buildGroupLayersTable(layerLabel){
   var height = '50';
   var margin = '25';
-  console.log(layerLabel)
   if(layerLabel === 'Ruler' || layerLabel === 'Genome'){
     var template = '<tr id={layerLabel}>' +
                     '<td><img src="images/drag.gif" class="drag-icon" id={layerLabel} /></td>' +

From c649624eb6e1f05f1b3a06c105d8e699601f6cf0 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 14 Sep 2021 13:49:35 -0500
Subject: [PATCH 0389/1020] implement gene function counts, sorting and
 filtering for inspect page

---
 anvio/data/interactive/js/charts.js          | 65 ++++++++++++++------
 anvio/data/interactive/js/inspectionutils.js | 15 +++--
 anvio/data/interactive/js/utils.js           | 19 ------
 3 files changed, 56 insertions(+), 43 deletions(-)

diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index dfa30757cf..32bb3ca000 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -257,7 +257,7 @@ function loadAll() {
                   }));
                   let prop = fn.toLowerCase() + '-colors';
                   if(!state.hasOwnProperty(prop)) {
-                    state[prop] = getColorDefaults(fn);
+                    state[prop] = getCustomColorDict(fn);
                   }
                 }
 
@@ -544,30 +544,55 @@ function get_box_id_for_AA(aa, id_start) {
   *  @param fn_type :         string indicating function category type
   *  @param highlight_genes : a dictionary matching specific gene caller IDs to hex colors to override other coloring
   *  @param filter_to_split : if true, filters categories to only those shown in the split
+  *  @param sort_by_count   : if true, sort annotations by # occurrences, otherwise sort alphabetically
+  *  @param thresh_count    : int indicating min # occurences required for a given category to be included in the table
   */
-function generateFunctionColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=true) {
+function generateFunctionColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=true, sort_by_count=true, thresh_count=1) {
   info("Generating gene functional annotation color table");
 
-  let db = getColorDefaults(fn_type ? fn_type : 'Source');
-  if(db == null) return;
-  // Override default values with any values supplied to fn_colors
-  if(fn_colors) {
-    Object.keys(db).forEach(cag => { if(Object.keys(fn_colors).includes(cag)) db[cag] = fn_colors[cag] });
-  }
+  let db, counts;
+  if(fn_type == 'Source') {
+    db = default_source_colors;
+  } else {
+    counts = [];
 
-  if(filter_to_split && fn_type != 'Source') {
-    let save = [];
+    // Traverse categories
     for(gene of genes) {
       let cag = getCagForType(gene.functions, fn_type);
-      if(cag && !save.includes(cag)) save.push(cag);
+      counts.push(cag ? cag : "None");
     }
-    Object.keys(db).forEach((cag, color) => {
-      if(!save.includes(cag)) delete db[cag];
-    });
+
+    // Get counts for each category
+    counts = counts.reduce((counts, val) => {
+      counts[val] = counts[val] ? counts[val]+1 : 1;
+      return counts;
+    }, {});
+
+    // Filter by count + sort categories
+    let count_removed = 0;
+    counts = Object.fromEntries(
+      Object.entries(counts).filter(([cag,count]) => {
+        if(count < thresh_count) count_removed += count;
+        return count >= thresh_count || cag == "None";
+      }).sort(function(first, second) {
+        return sort_by_count ? second[1] - first[1] : first[0].localeCompare(second[0]);
+      })
+    );
+    if(count_removed > 0) counts["Other"] = count_removed;
+
+    // Create custom color dict from categories
+    db = getCustomColorDict(fn_type, cags=Object.keys(counts));
+  }
+
+  // Override default values with any values supplied to fn_colors
+  if(fn_colors) {
+    Object.keys(db).forEach(cag => { if(Object.keys(fn_colors).includes(cag)) db[cag] = fn_colors[cag] });
   }
 
   $('#tbody_function_colors').empty();
-  Object.keys(db).forEach(category => appendColorRow(category, category, db[category]) );
+  Object.keys(db).forEach(category =>
+    appendColorRow(fn_type == 'Source' ? category : category + " (" + counts[category] + ")", category, db[category])
+  );
 
   $('.colorpicker').colpick({
       layout: 'hex',
@@ -706,8 +731,8 @@ function redrawArrows() {
 }
 
 function defineArrowMarkers(fn_type, cags=null, noneMarker=true) {
-  if(!cags) cags = Object.keys(getColorDefaults(fn_type));
-  if(noneMarker) cags = ["none"].concat(cags);
+  if(!cags) cags = Object.keys(getCustomColorDict(fn_type));
+  if(noneMarker) cags = ["None"].concat(cags);
   cags.forEach(category => {
     if(category.indexOf(',') != -1) category = category.substr(0,category.indexOf(','));
     if(category.indexOf(';') != -1) category = category.substr(0,category.indexOf(';'));
@@ -723,7 +748,7 @@ function defineArrowMarkers(fn_type, cags=null, noneMarker=true) {
         .attr('viewBox', '-5 -5 10 10')
         .append('svg:path')
           .attr('d', 'M 0,0 m -5,-5 L 5,0 L -5,5 Z')
-          .attr('fill', category != "none" ? $('#picker_' + category).attr('color') : "gray");
+          .attr('fill', $('#picker_' + category).attr('color'));
   });
 }
 
@@ -745,7 +770,7 @@ function resetFunctionColors(fn_colors=null) {
   info("Resetting functional annotation colors");
   if($('#gene_color_order') == null) return;
   let prop = $('#gene_color_order').val().toLowerCase() + '-colors';
-  Object.assign(state[prop], fn_colors ? fn_colors : getColorDefaults($('#gene_color_order')));
+  Object.assign(state[prop], fn_colors ? fn_colors : getCustomColorDict($('#gene_color_order')));
 
   generateFunctionColorTable(state[prop],
                              $('#gene_color_order').val(),
@@ -1369,7 +1394,7 @@ function processState(state_name, state) {
     if(!state['source-colors']) state['source-colors'] = default_source_colors;
     for(fn of getFunctionalAnnotations()) {
       let prop = fn.toLowerCase() + '-colors';
-      if(!state[prop]) state[prop] = getColorDefaults(fn);
+      if(!state[prop]) state[prop] = getCustomColorDict(fn);
     }
 
     if(JSON.parse(localStorage.state) && JSON.parse(localStorage.state)['gene-fn-db']) {
diff --git a/anvio/data/interactive/js/inspectionutils.js b/anvio/data/interactive/js/inspectionutils.js
index 171a5685f2..36cc3d42c8 100644
--- a/anvio/data/interactive/js/inspectionutils.js
+++ b/anvio/data/interactive/js/inspectionutils.js
@@ -328,7 +328,7 @@ function drawArrows(_start, _stop, colortype, gene_offset_y, color_genes=null) {
       path = paths.append('svg:path')
            .attr('id', 'gene_' + gene.gene_callers_id)
            .attr('d', 'M' + start +' '+ y +' l'+ stop +' 0')
-           .attr('stroke', category == "none" ? "gray" : $('#picker_' + category).attr('color'))
+           .attr('stroke', $('#picker_' + category).attr('color'))
            .attr('stroke-width', 6)
            .attr("style", "cursor:pointer;")
            .attr('marker-end', function() {
@@ -387,19 +387,25 @@ function getGeneEndpts(_start, _stop) {
  *  @returns arbitrary category:color dict given a list of categories
  */
 function getCustomColorDict(fn_type, cags=null) {
+  if(fn_type == "Source") return default_source_colors;
+
   if(!cags) {
     cags = Object.values(geneParser["data"]).map(gene => gene.functions ? getCagForType(gene.functions, fn_type) : null)
-                                                .filter(o => o != null);
+                                                .filter(o => { if(!o) o = "None"; return o != null });
     cags = cags.filter((item, i) => { return cags.indexOf(item) == i }); // remove duplicates
   }
 
+  // move "Other" and "None" to end of list
+  if(cags.includes("Other")) cags.push(cags.splice(cags.indexOf("Other"), 1)[0]);
+  if(cags.includes("None")) cags.push(cags.splice(cags.indexOf("None"), 1)[0]);
+
   let out = custom_cag_colors.reduce((out, field, index) => {
     out[cags[index]] = field;
     return out;
   }, {});
-  out["Other"] = "#808080";
+  if(out["Other"]) out["Other"] = "#FFFFFF";
+  if(out["None"]) out["None"] = "#808080";
   delete out["undefined"];
-
   return out;
 }
 
@@ -411,6 +417,7 @@ function getFunctionalAnnotations() {
     if(!gene.functions) continue;
     return Object.keys(gene.functions);
   }
+  return [];
 }
 
 var base_colors = ['#CCB48F', '#727EA3', '#65567A', '#CCC68F', '#648F7D', '#CC9B8F', '#A37297', '#708059'];
diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index 8d033344a0..b1813fc060 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -64,25 +64,6 @@ function getCagForType(geneFunctions, fn_type) {
   return out;
 }
 
-/*
- *  @returns relevant category:color dict from constants.js for a given functional annotation
- */
-function getColorDefaults(fn_type) {
-  switch(fn_type) {
-    case 'COG_CATEGORY':
-    case 'COG14_CATEGORY':
-    case 'COG20_CATEGORY':
-      return default_COG_colors;
-    case 'KEGG_Class':
-      return default_KEGG_colors;
-    case 'Source':
-      return default_source_colors;
-    default:
-      // defer to program-specific implementation for handling user-supplied color tables
-      return getCustomColorDict(fn_type);
-  }
-}
-
 function appendColorRow(label, cagCode, color, prepend=false) {
   let code = getCleanCagCode(cagCode);
   var tbody_content =

From 4c7d25d74131e544eff0394ca1aeaa68c8e2afa8 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 14 Sep 2021 18:50:40 +0000
Subject: [PATCH 0390/1020] hex values for ADL colors

---
 anvio/data/interactive/js/genomeview/test.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/test.js b/anvio/data/interactive/js/genomeview/test.js
index 118b9d15de..eb78fbc64d 100644
--- a/anvio/data/interactive/js/genomeview/test.js
+++ b/anvio/data/interactive/js/genomeview/test.js
@@ -39,9 +39,9 @@ function generateMockADL() {
     let additionalDataObject = {
       'genome': genomeLabel,
       'coverage': coverage,
-      'coverage-color': 'blue',
+      'coverage-color': '#05cde3',
       'gcContent': gcContent,
-      'gcContent-color': 'purple',
+      'gcContent-color': '#9b07e0',
       'ruler': true // TODO: store any genome-specific scale data here
     }
     settings['additional-data-layers'].push(additionalDataObject)

From 0c0dfdfdc3d07f8ac937b38fd33e320d7f98d797 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 14 Sep 2021 18:52:04 +0000
Subject: [PATCH 0391/1020] hook in ADL color stuff

---
 anvio/data/interactive/js/genomeview/ui.js | 24 ++++++++++++++++++++--
 1 file changed, 22 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index a84db36f21..b5218fabb8 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -309,6 +309,11 @@ function buildGenomesTable(genomes, order){
 }
 
 function buildGroupLayersTable(layerLabel){
+  let color; 
+  
+  if(layerLabel == 'GC_Content') color = settings['additional-data-layers'][0]['gcContent-color'] 
+  if(layerLabel == 'Coverage') color = settings['additional-data-layers'][0]['coverage-color']  
+
   var height = '50';
   var margin = '25';
   if(layerLabel === 'Ruler' || layerLabel === 'Genome'){
@@ -324,7 +329,7 @@ function buildGroupLayersTable(layerLabel){
     var template = '<tr id={layerLabel}>' +
                     '<td><img src="images/drag.gif" class="drag-icon" id={layerLabel} /></td>' +
                     '<td> {layerLabel} </td>' +
-                    '<td><div id="{layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: #FFFFFF" color="#FFFFFF"></div></td>' +
+                    '<td><div id="{layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: {color}" color={color} background-color={color} ></div></td>' +
                     '<td>n/a</td>' +
                     '<td>n/a</td>' +
                     '<td><input type="checkbox" class="additional_selectors" id={layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>' +
@@ -332,13 +337,28 @@ function buildGroupLayersTable(layerLabel){
   }
   template = template.replace(new RegExp('{height}', 'g'), height)
                       .replace(new RegExp('{margin}', 'g'), margin)
-                      .replace(new RegExp('{layerLabel}', 'g'), layerLabel);
+                      .replace(new RegExp('{layerLabel}', 'g'), layerLabel)
+                      .replace(new RegExp('{color}', 'g'), color);
   $('#tbody_additionalDataLayers').append(template);
   $("#tbody_additionalDataLayers").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).disableSelection();
 
   $("#tbody_additionalDataLayers").on("sortupdate", (event, ui) => {
     changeGroupLayersOrder($("#tbody_additionalDataLayers").sortable('toArray'))
   })
+
+  // $(`#${layerLabel}_color`).colpick({
+  //   layout: 'hex',
+  //   submit: 0,
+  //   colorScheme: 'light',
+  //   onChange: function(hsb, hex, rgb, el, bySetColor) {
+  //       $(el).css('background-color', '#' + bySetColor);
+  //       $(el).attr('color', '#' + bySetColor);
+  //       if (!bySetColor) $(el).val(hex);
+  //   }
+  // }).keyup(function() {
+  //     $(this).colpickSetColor(this.value);
+  //   console.log(this)
+  // });
 }
 
 function toggleAdditionalDataLayer(e){

From 6635505100298f169414595580790536600e14f8 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 14 Sep 2021 15:09:56 -0500
Subject: [PATCH 0392/1020] yet another edge case

---
 anvio/data/interactive/js/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index b1813fc060..b3aea2dff0 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -84,7 +84,7 @@ function appendColorRow(label, cagCode, color, prepend=false) {
 
 function getCleanCagCode(code) {
   if(!isNaN(code)) return code;
-  return code.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_').split('/').join('_').split('+').join('_').split('.').join('_');
+  return code.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_').split('/').join('_').split('+').join('_').split('.').join('_').split('\'').join('_').split('\"').join('_');
 }
 
 //-----------------------------------------------------------------------------

From e3ab3d8b07fd9f56f736059f226c4f3e77b91568 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 14 Sep 2021 15:10:34 -0500
Subject: [PATCH 0393/1020] add settings panel ui for sorting, filtering and
 batch coloring

---
 anvio/data/interactive/genomeview.html        | 9 +++++++++
 anvio/data/interactive/js/genomeview/main.js  | 3 ++-
 anvio/data/interactive/js/genomeview/utils.js | 4 ++++
 3 files changed, 15 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 99538aa55b..8915961565 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -227,6 +227,15 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                             <select id="gene_color_order" style="margin-bottom: 10px" class="form-control input-xs"></select>
                           </div>
                         </div>
+
+                        <div class="ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content-active" id="ui-id-2" aria-labelledby="ui-id-1" role="tabpanel" style="display: block;" aria-hidden="false">Sort: <div class="btn-group" role="group">
+                        <button type="button" class="btn btn-default" onclick="orderColorTable('alphabetical');"><span class="glyphicon glyphicon-sort-by-alphabet"></span> Alphabetical</button>
+                        <button type="button" class="btn btn-default" onclick="orderColorTable('count');"><span class="glyphicon glyphicon-sort-by-order-alt"></span> Count</button>
+                        </div>
+                        <div class="btn-group" role="group">
+                            <button type="button" class="btn btn-default" style="margin-left: 10px;" onclick="console.log('\nComing soon: batch coloring (!)')"><span class="glyphicon glyphicon-tint"></span> Batch coloring</button>
+                        </div>
+
                         <div id="table_function_colors_container" style="margin-top: 20px; color:black">
                           <table id="table_function_colors">
                             <thead id="thead_function_colors">
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 73e1cdcff7..47ffc9be5e 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -47,8 +47,9 @@ var adlPtsPerLayer = 10000; // number of data points to be subsampled per ADL. T
 var showLabels = true; // show genome labels?
 var showGeneLabels = true; // show gene labels?
 var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
-let percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
+var percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
 var geneLabelPos = "above"; // gene label position; one of "above", "slanted", "inside"
+var thresh_count = 4; // min # occurences of annotation for filtering gene color table
 var mainCanvasHeight;
 var canvas;
 var genomeLabelsCanvas;
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index dfd2a6a7a5..7f6e1c9d81 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -201,3 +201,7 @@ function getCustomColorDict(fn_type, cags=null) {
   delete out["undefined"];
   return out;
 }
+
+function orderColorTable(order) {
+  generateColorTable(null, $("#gene_color_order").val(), highlight_genes=null, filter_to_split=true, sort_by_count=(order=='count'), thresh_count=thresh_count)
+}

From 9a8ee0fbe6b8c88dcd9a9e0d5b3f57e265825fd2 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 14 Sep 2021 15:16:32 -0500
Subject: [PATCH 0394/1020] create global vars for gene color settings

---
 anvio/data/interactive/js/genomeview/main.js  | 2 ++
 anvio/data/interactive/js/genomeview/ui.js    | 2 +-
 anvio/data/interactive/js/genomeview/utils.js | 3 ++-
 3 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 47ffc9be5e..6623c6fed9 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -50,6 +50,8 @@ var dynamicScaleInterval = true; // if true, scale interval automatically adjust
 var percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
 var geneLabelPos = "above"; // gene label position; one of "above", "slanted", "inside"
 var thresh_count = 4; // min # occurences of annotation for filtering gene color table
+var order_gene_colors_by_count = true; // if true, order annotations on gene color table by descending order of count, otherwise order alphabetically
+var filter_gene_colors_to_window = true; // if true, only display gene colors in current render window, otherwise show all gene colors in split
 var mainCanvasHeight;
 var canvas;
 var genomeLabelsCanvas;
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index b5218fabb8..df3bfb67d1 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -451,7 +451,7 @@ function changeGenomeOrder(updatedOrder){
  *  @param sort_by_count   : if true, sort annotations by # occurrences, otherwise sort alphabetically
  *  @param thresh_count    : int indicating min # occurences required for a given category to be included in the table
  */
-function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=true, sort_by_count=true, thresh_count = 4) {
+function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=filter_gene_colors_to_window, sort_by_count=order_gene_colors_by_count, thresh_count = thresh_count) {
   let db, counts;
   if(fn_type == 'Source') {
     db = default_source_colors;
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 7f6e1c9d81..bc0ca230e3 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -203,5 +203,6 @@ function getCustomColorDict(fn_type, cags=null) {
 }
 
 function orderColorTable(order) {
-  generateColorTable(null, $("#gene_color_order").val(), highlight_genes=null, filter_to_split=true, sort_by_count=(order=='count'), thresh_count=thresh_count)
+  order_gene_colors_by_count = order == 'count';
+  generateColorTable(null, $("#gene_color_order").val());
 }

From 81d001c30959bc03751b715be25f225cb56f2af5 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 14 Sep 2021 15:19:55 -0500
Subject: [PATCH 0395/1020] fix

---
 anvio/data/interactive/js/genomeview/main.js | 2 +-
 anvio/data/interactive/js/genomeview/ui.js   | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 6623c6fed9..a69fd04caf 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -49,7 +49,7 @@ var showGeneLabels = true; // show gene labels?
 var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
 var percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
 var geneLabelPos = "above"; // gene label position; one of "above", "slanted", "inside"
-var thresh_count = 4; // min # occurences of annotation for filtering gene color table
+var thresh_count_gene_colors = 4; // min # occurences of annotation for filtering gene color table
 var order_gene_colors_by_count = true; // if true, order annotations on gene color table by descending order of count, otherwise order alphabetically
 var filter_gene_colors_to_window = true; // if true, only display gene colors in current render window, otherwise show all gene colors in split
 var mainCanvasHeight;
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index df3bfb67d1..4c5adc0655 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -451,7 +451,7 @@ function changeGenomeOrder(updatedOrder){
  *  @param sort_by_count   : if true, sort annotations by # occurrences, otherwise sort alphabetically
  *  @param thresh_count    : int indicating min # occurences required for a given category to be included in the table
  */
-function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=filter_gene_colors_to_window, sort_by_count=order_gene_colors_by_count, thresh_count = thresh_count) {
+function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=filter_gene_colors_to_window, sort_by_count=order_gene_colors_by_count, thresh_count = thresh_count_gene_colors) {
   let db, counts;
   if(fn_type == 'Source') {
     db = default_source_colors;

From adbce19d3377283de751e6dfbff0129ec17fa179 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 14 Sep 2021 20:10:19 -0500
Subject: [PATCH 0396/1020] allow user to change gene color filtering threshold
 via settings

---
 anvio/data/interactive/genomeview.html        |  7 +++++++
 anvio/data/interactive/js/genomeview/ui.js    |  6 ++++++
 anvio/data/interactive/js/genomeview/utils.js | 13 +++++++++++++
 3 files changed, 26 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 8915961565..392e447968 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -228,6 +228,13 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                           </div>
                         </div>
 
+                        <tbody>
+                            <tr>
+                              <td style="margin-bottom: 10px;">Filter:</td>
+                              <td><input type="text" class="form-control input-sm" id="thresh_count" value="4" style="margin-bottom: 10px;"></td>
+                            </tr>
+                        </tbody>
+
                         <div class="ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content-active" id="ui-id-2" aria-labelledby="ui-id-1" role="tabpanel" style="display: block;" aria-hidden="false">Sort: <div class="btn-group" role="group">
                         <button type="button" class="btn btn-default" onclick="orderColorTable('alphabetical');"><span class="glyphicon glyphicon-sort-by-alphabet"></span> Alphabetical</button>
                         <button type="button" class="btn btn-default" onclick="orderColorTable('count');"><span class="glyphicon glyphicon-sort-by-order-alt"></span> Count</button>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 4c5adc0655..88f607f66b 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -183,6 +183,12 @@ function setEventListeners(){
     // draw();
     drawer.draw()
   });
+  $('#thresh_count').on('keydown', function (e) {
+    if (e.keyCode == 13) { // 13 = enter key
+      filterColorTable($(this).val());
+      $(this).blur();
+    }
+  });
   $('#show_dynamic_scale_box').on('change', function () {
     dynamicScaleInterval = !dynamicScaleInterval;
   });
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index bc0ca230e3..32cf972328 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -206,3 +206,16 @@ function orderColorTable(order) {
   order_gene_colors_by_count = order == 'count';
   generateColorTable(null, $("#gene_color_order").val());
 }
+
+function filterColorTable(thresh) {
+  if(isNaN(thresh)) {
+    alert("Error: filtering threshold must be numeric");
+    return;
+  } else if(thresh < 1) {
+    alert("Error: filtering threshold must be an integer >= 1");
+    return;
+  }
+  thresh_count_gene_colors = thresh;
+  generateColorTable(null, $("#gene_color_order").val());
+  drawer.draw();
+}

From 6319a5df1af8bbc7f3dd933a3f844d8e13ed1bc1 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 14 Sep 2021 20:32:10 -0500
Subject: [PATCH 0397/1020] same ui for inspect page

---
 anvio/data/interactive/charts.html           | 14 ++++++++++++
 anvio/data/interactive/js/charts.js          | 14 ++++++++++--
 anvio/data/interactive/js/inspectionutils.js | 23 ++++++++++++++++++--
 3 files changed, 47 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/charts.html b/anvio/data/interactive/charts.html
index 103d70e427..5265040b30 100644
--- a/anvio/data/interactive/charts.html
+++ b/anvio/data/interactive/charts.html
@@ -216,6 +216,20 @@ <h3 class="modal-title" style="color: black;"><b>Search items</b></h3>
                     </div>
                   </div>
 
+                  <tbody>
+                      <tr>
+                        <td style="margin-bottom: 10px;">Filter:</td>
+                        <td><input type="text" class="form-control input-sm" id="thresh_count" value="1" style="margin-bottom: 10px;"></td>
+                      </tr>
+                  </tbody>
+                  <div class="ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content-active" id="ui-id-2" aria-labelledby="ui-id-1" role="tabpanel" style="display: block;" aria-hidden="false">Sort: <div class="btn-group" role="group">
+                  <button type="button" class="btn btn-default" onclick="orderColorTable('alphabetical');"><span class="glyphicon glyphicon-sort-by-alphabet"></span> Alphabetical</button>
+                  <button type="button" class="btn btn-default" onclick="orderColorTable('count');"><span class="glyphicon glyphicon-sort-by-order-alt"></span> Count</button>
+                  </div>
+                  <div class="btn-group" role="group">
+                      <button type="button" class="btn btn-default" style="margin-left: 10px;" onclick="console.log('\nComing soon: batch coloring (!)')"><span class="glyphicon glyphicon-tint"></span> Batch coloring</button>
+                  </div>
+
                   <div id="table_function_colors_container" style="margin-top: 20px; color:black">
                     <table id="table_function_colors">
                       <thead id="thead_function_colors">
diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index 32bb3ca000..ac93453874 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -54,6 +54,8 @@ var gene_offset_y = 0;
 var select_boxes = {};
 var curr_height;
 var show_cags_in_split = true;
+var thresh_count_gene_colors = 1;
+var order_gene_colors_by_count = true;
 
 function loadAll() {
     info("Initiated");
@@ -397,6 +399,13 @@ function loadAll() {
                     $(this).blur();
                 });
 
+                $('#thresh_count').on('keydown', function(e) {
+                  if (e.keyCode == 13) { // 13 = enter key
+                    filterColorTable($(this).val());
+                    $(this).blur();
+                  }
+                });
+
                 $('#largeIndelInput').on('keydown', function(e) {
                   if(e.keyCode == 13) { // 13 = enter key
                     if($(this).val() < 1 || $(this).val() > 9999) {
@@ -547,7 +556,7 @@ function get_box_id_for_AA(aa, id_start) {
   *  @param sort_by_count   : if true, sort annotations by # occurrences, otherwise sort alphabetically
   *  @param thresh_count    : int indicating min # occurences required for a given category to be included in the table
   */
-function generateFunctionColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=true, sort_by_count=true, thresh_count=1) {
+function generateFunctionColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=true, sort_by_count=order_gene_colors_by_count, thresh_count=thresh_count_gene_colors) {
   info("Generating gene functional annotation color table");
 
   let db, counts;
@@ -738,6 +747,7 @@ function defineArrowMarkers(fn_type, cags=null, noneMarker=true) {
     if(category.indexOf(';') != -1) category = category.substr(0,category.indexOf(';'));
     if(category.indexOf('!!!') != -1) category = category.substr(0,category.indexOf('!!!'));
     category = getCleanCagCode(category);
+    let color = $('#picker_' + category).length > 0 ? $('#picker_' + category).attr('color') : $('#picker_Other').attr('color');
     contextSvg.select('#contextSvgDefs').append('svg:marker')
         .attr('id', 'arrow_' + category )
         .attr('markerHeight', 2)
@@ -748,7 +758,7 @@ function defineArrowMarkers(fn_type, cags=null, noneMarker=true) {
         .attr('viewBox', '-5 -5 10 10')
         .append('svg:path')
           .attr('d', 'M 0,0 m -5,-5 L 5,0 L -5,5 Z')
-          .attr('fill', $('#picker_' + category).attr('color'));
+          .attr('fill', color);
   });
 }
 
diff --git a/anvio/data/interactive/js/inspectionutils.js b/anvio/data/interactive/js/inspectionutils.js
index 36cc3d42c8..106045bbc9 100644
--- a/anvio/data/interactive/js/inspectionutils.js
+++ b/anvio/data/interactive/js/inspectionutils.js
@@ -292,6 +292,7 @@ function drawArrows(_start, _stop, colortype, gene_offset_y, color_genes=null) {
 
 
       let category = getCagForType(gene.functions, colortype);
+      category = getCleanCagCode(category);
 
       if(!category) {
         category = "None";
@@ -324,11 +325,11 @@ function drawArrows(_start, _stop, colortype, gene_offset_y, color_genes=null) {
       }
 
       // M10 15 l20 0
-      category = getCleanCagCode(category);
+      let color = $('#picker_' + category).length > 0 ? $('#picker_' + category).attr('color') : $('#picker_Other').attr('color');
       path = paths.append('svg:path')
            .attr('id', 'gene_' + gene.gene_callers_id)
            .attr('d', 'M' + start +' '+ y +' l'+ stop +' 0')
-           .attr('stroke', $('#picker_' + category).attr('color'))
+           .attr('stroke', color)
            .attr('stroke-width', 6)
            .attr("style", "cursor:pointer;")
            .attr('marker-end', function() {
@@ -420,6 +421,24 @@ function getFunctionalAnnotations() {
   return [];
 }
 
+function orderColorTable(order) {
+  order_gene_colors_by_count = order == 'count';
+  generateFunctionColorTable(null, $("#gene_color_order").val());
+}
+
+function filterColorTable(thresh) {
+  if(isNaN(thresh)) {
+    alert("Error: filtering threshold must be numeric");
+    return;
+  } else if(thresh < 1) {
+    alert("Error: filtering threshold must be an integer >= 1");
+    return;
+  }
+  thresh_count_gene_colors = thresh;
+  generateFunctionColorTable(null, $("#gene_color_order").val());
+  redrawArrows();
+}
+
 var base_colors = ['#CCB48F', '#727EA3', '#65567A', '#CCC68F', '#648F7D', '#CC9B8F', '#A37297', '#708059'];
 
 function get_comp_nt_color(nts){

From 8cd92962db45b3b2586292c114cb68ed3cdf8659 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 14 Sep 2021 21:35:27 -0500
Subject: [PATCH 0398/1020] resorting changes order of categories AND colors

---
 anvio/data/interactive/js/charts.js           | 17 ++++++++++++++---
 anvio/data/interactive/js/genomeview/ui.js    | 17 ++++++++++++++---
 anvio/data/interactive/js/genomeview/utils.js |  9 ++++++++-
 anvio/data/interactive/js/inspectionutils.js  |  9 ++++++++-
 4 files changed, 44 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index ac93453874..13cea46da8 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -577,20 +577,31 @@ function generateFunctionColorTable(fn_colors, fn_type, highlight_genes=null, fi
       return counts;
     }, {});
 
-    // Filter by count + sort categories
+    // Filter by count
     let count_removed = 0;
     counts = Object.fromEntries(
       Object.entries(counts).filter(([cag,count]) => {
         if(count < thresh_count) count_removed += count;
         return count >= thresh_count || cag == "None";
-      }).sort(function(first, second) {
+      })
+    );
+
+    // Save pre-sort order
+    let order = {};
+    for(let i = 0; i < Object.keys(counts).length; i++) {
+      order[Object.keys(counts)[i]] = i;
+    }
+
+    // Sort categories
+    counts = Object.fromEntries(
+      Object.entries(counts).sort(function(first, second) {
         return sort_by_count ? second[1] - first[1] : first[0].localeCompare(second[0]);
       })
     );
     if(count_removed > 0) counts["Other"] = count_removed;
 
     // Create custom color dict from categories
-    db = getCustomColorDict(fn_type, cags=Object.keys(counts));
+    db = getCustomColorDict(fn_type, cags=Object.keys(counts), order=order);
   }
 
   // Override default values with any values supplied to fn_colors
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 88f607f66b..4e100968d0 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -479,20 +479,31 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
       return counts;
     }, {});
 
-    // Filter by count + sort categories
+    // Filter by count
     let count_removed = 0;
     counts = Object.fromEntries(
       Object.entries(counts).filter(([cag,count]) => {
         if(count < thresh_count) count_removed += count;
         return count >= thresh_count || cag == "None";
-      }).sort(function(first, second) {
+      })
+    );
+
+    // Save pre-sort order
+    let order = {};
+    for(let i = 0; i < Object.keys(counts).length; i++) {
+      order[Object.keys(counts)[i]] = i;
+    }
+
+    // Sort categories
+    counts = Object.fromEntries(
+      Object.entries(counts).sort(function(first, second) {
         return sort_by_count ? second[1] - first[1] : first[0].localeCompare(second[0]);
       })
     );
     if(count_removed > 0) counts["Other"] = count_removed;
 
     // Create custom color dict from categories
-    db = getCustomColorDict(fn_type, cags=Object.keys(counts));
+    db = getCustomColorDict(fn_type, cags=Object.keys(counts), order=order);
   }
 
   // Override default values with any values supplied to fn_colors
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 32cf972328..a75d325a23 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -174,7 +174,7 @@ function getFunctionalAnnotations() {
 /*
  *  @returns arbitrary category:color dict given a list of categories
  */
-function getCustomColorDict(fn_type, cags=null) {
+function getCustomColorDict(fn_type, cags=null, order=null) {
   if(!Object.keys(genomeData.genomes[0][1].genes.functions[0]).includes(fn_type)) return null;
 
   if(!cags) {
@@ -196,6 +196,13 @@ function getCustomColorDict(fn_type, cags=null) {
     out[cags[index]] = field;
     return out;
   }, {});
+
+  // sort using order
+  if(order) {
+    let colors = Object.values(out);
+    Object.keys(out).forEach(cag => { out[cag] = colors[order[cag]] });
+  }
+
   if(out["Other"]) out["Other"] = "#FFFFFF";
   if(out["None"]) out["None"] = "#808080";
   delete out["undefined"];
diff --git a/anvio/data/interactive/js/inspectionutils.js b/anvio/data/interactive/js/inspectionutils.js
index 106045bbc9..8f66ca1281 100644
--- a/anvio/data/interactive/js/inspectionutils.js
+++ b/anvio/data/interactive/js/inspectionutils.js
@@ -387,7 +387,7 @@ function getGeneEndpts(_start, _stop) {
 /*
  *  @returns arbitrary category:color dict given a list of categories
  */
-function getCustomColorDict(fn_type, cags=null) {
+function getCustomColorDict(fn_type, cags=null, order=null) {
   if(fn_type == "Source") return default_source_colors;
 
   if(!cags) {
@@ -404,6 +404,13 @@ function getCustomColorDict(fn_type, cags=null) {
     out[cags[index]] = field;
     return out;
   }, {});
+
+  // sort using order
+  if(order) {
+    let colors = Object.values(out);
+    Object.keys(out).forEach(cag => { out[cag] = colors[order[cag]] });
+  }
+
   if(out["Other"]) out["Other"] = "#FFFFFF";
   if(out["None"]) out["None"] = "#808080";
   delete out["undefined"];

From 11f195b4f8caa6e8d9aaa83a914e5fd6ea193906 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 14 Sep 2021 21:55:59 -0500
Subject: [PATCH 0399/1020] fix for 'Other' annotation in inspect page

---
 anvio/data/interactive/js/inspectionutils.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/inspectionutils.js b/anvio/data/interactive/js/inspectionutils.js
index 8f66ca1281..1932d5fcfb 100644
--- a/anvio/data/interactive/js/inspectionutils.js
+++ b/anvio/data/interactive/js/inspectionutils.js
@@ -411,8 +411,8 @@ function getCustomColorDict(fn_type, cags=null, order=null) {
     Object.keys(out).forEach(cag => { out[cag] = colors[order[cag]] });
   }
 
-  if(out["Other"]) out["Other"] = "#FFFFFF";
-  if(out["None"]) out["None"] = "#808080";
+  if(cags.includes("Other")) out["Other"] = "#FFFFFF";
+  if(cags.includes("None")) out["None"] = "#808080";
   delete out["undefined"];
   return out;
 }

From f96eae2215c07192fdb46e57eadef5a6c6716c20 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 15 Sep 2021 15:14:13 +0000
Subject: [PATCH 0400/1020] cleanup ADL settings template

---
 anvio/data/interactive/genomeview.html     | 4 ++--
 anvio/data/interactive/js/genomeview/ui.js | 4 ----
 2 files changed, 2 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 392e447968..db18823c4b 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -157,8 +157,8 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                                 <td></td>
                                 <td data-help="layer-name">Name</td>
                                 <td data-help="layer-color"><div style="width: 32px;">Color</div></td>
-                                <td data-help="layer-height">Height</td>
-                                <td data-help="layer-margin" class="column-margin">Margin</td>
+                                <!-- <td data-help="layer-height">Height</td>
+                                <td data-help="layer-margin" class="column-margin">Margin</td> -->
                                 <td data-help="layer-min">Show</td>
                             </tr>
                           </thead>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 4e100968d0..ac7699525e 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -327,8 +327,6 @@ function buildGroupLayersTable(layerLabel){
                     '<td><img src="images/drag.gif" class="drag-icon" id={layerLabel} /></td>' +
                     '<td> {layerLabel} </td>' +
                     '<td style="margin-left: 5px;"> n/a </td>' +
-                    '<td>n/a</td>' +
-                    '<td>n/a</td>' +
                     '<td><input type="checkbox" class="additional_selectors" id={layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>' +
                     '</tr>';
   } else {
@@ -336,8 +334,6 @@ function buildGroupLayersTable(layerLabel){
                     '<td><img src="images/drag.gif" class="drag-icon" id={layerLabel} /></td>' +
                     '<td> {layerLabel} </td>' +
                     '<td><div id="{layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: {color}" color={color} background-color={color} ></div></td>' +
-                    '<td>n/a</td>' +
-                    '<td>n/a</td>' +
                     '<td><input type="checkbox" class="additional_selectors" id={layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>' +
                     '</tr>';
   }

From fbe03523bb2566ef860c86b2e737f9d1f2ae7a77 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 15 Sep 2021 15:14:58 +0000
Subject: [PATCH 0401/1020] deprecated

---
 anvio/data/interactive/js/genomeview/ui.js | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index ac7699525e..e28d23a489 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -337,10 +337,9 @@ function buildGroupLayersTable(layerLabel){
                     '<td><input type="checkbox" class="additional_selectors" id={layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>' +
                     '</tr>';
   }
-  template = template.replace(new RegExp('{height}', 'g'), height)
-                      .replace(new RegExp('{margin}', 'g'), margin)
-                      .replace(new RegExp('{layerLabel}', 'g'), layerLabel)
-                      .replace(new RegExp('{color}', 'g'), color);
+  template = template.replace(new RegExp('{layerLabel}', 'g'), layerLabel)
+                     .replace(new RegExp('{color}', 'g'), color);
+                     
   $('#tbody_additionalDataLayers').append(template);
   $("#tbody_additionalDataLayers").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).disableSelection();
 

From 1d3a631cd1715e85b14591f63e81560b9d7365b8 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 15 Sep 2021 15:28:10 +0000
Subject: [PATCH 0402/1020] minor refactor

---
 anvio/data/interactive/js/genomeview/ui.js | 25 +++++++++++-----------
 1 file changed, 12 insertions(+), 13 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index e28d23a489..3e55258410 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -347,19 +347,18 @@ function buildGroupLayersTable(layerLabel){
     changeGroupLayersOrder($("#tbody_additionalDataLayers").sortable('toArray'))
   })
 
-  // $(`#${layerLabel}_color`).colpick({
-  //   layout: 'hex',
-  //   submit: 0,
-  //   colorScheme: 'light',
-  //   onChange: function(hsb, hex, rgb, el, bySetColor) {
-  //       $(el).css('background-color', '#' + bySetColor);
-  //       $(el).attr('color', '#' + bySetColor);
-  //       if (!bySetColor) $(el).val(hex);
-  //   }
-  // }).keyup(function() {
-  //     $(this).colpickSetColor(this.value);
-  //   console.log(this)
-  // });
+  $(`#${layerLabel}_color`).colpick({
+    layout: 'hex',
+    submit: 0,
+    colorScheme: 'light',
+    onChange: function(hsb, hex, rgb, el, bySetColor) {
+        $(el).css('background-color', '#' + hex);
+        $(el).attr('color', '#' + hex);
+        if (!bySetColor) $(el).val(hex);
+    }
+  }).keyup(function() {
+      $(this).colpickSetColor(this.value);
+  });
 }
 
 function toggleAdditionalDataLayer(e){

From 8b854a0be0c48f9352d3518ec2f5444902d81e83 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 15 Sep 2021 15:30:48 +0000
Subject: [PATCH 0403/1020] update settings when ADL colors selected

---
 anvio/data/interactive/js/genomeview/ui.js | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 3e55258410..1cbfd508e6 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -355,6 +355,9 @@ function buildGroupLayersTable(layerLabel){
         $(el).css('background-color', '#' + hex);
         $(el).attr('color', '#' + hex);
         if (!bySetColor) $(el).val(hex);
+
+        if(layerLabel == 'Coverage') settings['additional-data-layers'][0]['coverage-color'] = `#${hex}`
+        if(layerLabel == 'GC_Content') settings['additional-data-layers'][0]['gcContent-color'] = `#${hex}`
     }
   }).keyup(function() {
       $(this).colpickSetColor(this.value);

From f660de2cb0c2fed369d5e879e08a7bc636a5a4aa Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 15 Sep 2021 15:33:45 +0000
Subject: [PATCH 0404/1020] redraw after ADL color update

---
 anvio/data/interactive/js/genomeview/ui.js | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 1cbfd508e6..373adc7933 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -354,10 +354,14 @@ function buildGroupLayersTable(layerLabel){
     onChange: function(hsb, hex, rgb, el, bySetColor) {
         $(el).css('background-color', '#' + hex);
         $(el).attr('color', '#' + hex);
-        if (!bySetColor) $(el).val(hex);
 
-        if(layerLabel == 'Coverage') settings['additional-data-layers'][0]['coverage-color'] = `#${hex}`
-        if(layerLabel == 'GC_Content') settings['additional-data-layers'][0]['gcContent-color'] = `#${hex}`
+        if(bySetColor){
+          if(layerLabel == 'Coverage') settings['additional-data-layers'][0]['coverage-color'] = `#${hex}`
+          if(layerLabel == 'GC_Content') settings['additional-data-layers'][0]['gcContent-color'] = `#${hex}`
+          drawer.draw()
+        } else {
+          $(el).val(hex);
+        }
     }
   }).keyup(function() {
       $(this).colpickSetColor(this.value);

From d3263a780e99d72905e1f43c273d81ef15e75094 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 20 Sep 2021 12:06:52 -0500
Subject: [PATCH 0405/1020] batch coloring UI

---
 anvio/data/interactive/genomeview.html | 34 +++++++++++++++++++++++++-
 1 file changed, 33 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index db18823c4b..c689734779 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -240,7 +240,39 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                         <button type="button" class="btn btn-default" onclick="orderColorTable('count');"><span class="glyphicon glyphicon-sort-by-order-alt"></span> Count</button>
                         </div>
                         <div class="btn-group" role="group">
-                            <button type="button" class="btn btn-default" style="margin-left: 10px;" onclick="console.log('\nComing soon: batch coloring (!)')"><span class="glyphicon glyphicon-tint"></span> Batch coloring</button>
+                            <button type="button" class="btn btn-default" style="margin-left: 10px;" onclick="$('#batch_coloring').slideToggle();"><span class="glyphicon glyphicon-tint"></span> Batch coloring</button>
+                        </div>
+
+                        <div id="batch_coloring" style="margin: 10px; display: none;">
+                          <table class="col-md-12 table-spacing">
+                              <tbody><tr>
+                                  <td class="col-md-2">Rule: </td>
+                                  <td class="col-md-10">
+                                      <input type="radio" name="batch_rule_2" value="all" checked=""> All <br>
+                                      <input type="radio" name="batch_rule_2" value="name"> Name contains <input type="text" id="name_rule_2" size="8"><br>
+                                      <input type="radio" name="batch_rule_2" value="count"> Count
+                                          <select id="count_rule_2">
+                                              <option selected="">==</option>
+                                              <option>&lt;</option>
+                                              <option>&gt;</option>
+                                          </select>
+                                          <input type="text" id="count_rule_value_2" size="3">
+                                      <br>
+                                  </td>
+                              </tr>
+                              <tr>
+                                  <td class="col-md-2">Color: </td>
+                                  <td class="col-md-10"><div id="batch_colorpicker_2" class="colorpicker" color="#FFFFFF" style="margin-right: 5px; background-color: #FFFFFF; float: none; "></div></td>
+                              </tr>
+                              <tr>
+                                  <td class="col-md-2"></td>
+                                  <td class="col-md-10"><input id="batch_randomcolor_2" type="checkbox"> Assign random color</td>
+                              </tr>
+                              <tr>
+                                  <td class="col-md-2"></td>
+                                  <td class="col-md-10"><button type="button" class="btn btn-default" onclick="batchColor(2);">Apply</button></td>
+                              </tr>
+                          </tbody></table>
                         </div>
 
                         <div id="table_function_colors_container" style="margin-top: 20px; color:black">

From 8d88514fcde982d95031c44ec58e6effd672b41c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 20 Sep 2021 18:44:48 +0000
Subject: [PATCH 0406/1020] refactor genome table template

---
 anvio/data/interactive/js/genomeview/ui.js | 30 ++++++++++------------
 1 file changed, 13 insertions(+), 17 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 373adc7933..d080fb63d2 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -286,24 +286,20 @@ function buildGenomesTable(genomes, order){
   genomes.map(genome => {
     var height = '50';
     var margin = '15';
-    var template = '<tr id={genomeLabel}>' +
-                  '<td><img src="images/drag.gif" class="drag-icon" id={genomeLabel} /></td>' +
-                  '<td> {genomeLabel} </td>' +
-                  '<td>n/a</td>' +
-                  '<td>n/a</td>' +
-                  '<td>n/a</td>' +
-                  '<td><input class="input-height" type="text" size="3" id="height{id}" value="{height}"></input></td>' +
-                  '<td class="column-margin"><input class="input-margin" type="text" size="3" id="margin{id}" value="{margin}"></input></td>' +
-                  '<td>n/a</td>' +
-                  '<td>n/a</td>' +
-                  '<td><input type="checkbox" class="layer_selectors"></input></td>' +
-                  '</tr>';
     let genomeLabel= Object.keys(genome[1]['contigs']['info']);
-
-    template = template.replace(new RegExp('{height}', 'g'), height)
-                        .replace(new RegExp('{margin}', 'g'), margin)
-                        .replace(new RegExp('{genomeLabel}', 'g'), genomeLabel);
-
+    var template = `<tr id=${genomeLabel}> 
+                  <td><img src="images/drag.gif" class="drag-icon" id=${genomeLabel} /></td> 
+                  <td> ${genomeLabel} </td> 
+                  <td>n/a</td> 
+                  <td>n/a</td> 
+                  <td>n/a</td> 
+                  <td><input class="input-height" type="text" size="3" id="height_${genomeLabel}" value="${height}"></input></td> 
+                  <td class="column-margin"><input class="input-margin" type="text" size="3" id="margin_${genomeLabel}" value="${margin}"></input></td> 
+                  <td>n/a</td> 
+                  <td>n/a</td> 
+                  <td><input type="checkbox" class="layer_selectors"></input></td> 
+                  </tr>;`
+                  
     $('#tbody_genomes').append(template);
   })
 

From 7d44ba04f2d6a2da4fe4bed8838a7dba35e8cebf Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 20 Sep 2021 19:01:53 +0000
Subject: [PATCH 0407/1020] refactor group layer UI template

---
 anvio/data/interactive/js/genomeview/ui.js | 28 ++++++++++------------
 1 file changed, 12 insertions(+), 16 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index d080fb63d2..58eff5c416 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -316,25 +316,21 @@ function buildGroupLayersTable(layerLabel){
   if(layerLabel == 'GC_Content') color = settings['additional-data-layers'][0]['gcContent-color'] 
   if(layerLabel == 'Coverage') color = settings['additional-data-layers'][0]['coverage-color']  
 
-  var height = '50';
-  var margin = '25';
   if(layerLabel === 'Ruler' || layerLabel === 'Genome'){
-    var template = '<tr id={layerLabel}>' +
-                    '<td><img src="images/drag.gif" class="drag-icon" id={layerLabel} /></td>' +
-                    '<td> {layerLabel} </td>' +
-                    '<td style="margin-left: 5px;"> n/a </td>' +
-                    '<td><input type="checkbox" class="additional_selectors" id={layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>' +
-                    '</tr>';
+    var template =  `<tr id=${layerLabel}> 
+                    <td><img src="images/drag.gif" class="drag-icon" id=${layerLabel} /></td> 
+                    <td> ${layerLabel} </td> 
+                    <td style="margin-left: 5px;"> n/a </td> 
+                    <td><input type="checkbox" class="additional_selectors" id=${layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td> 
+                    </tr>;`
   } else {
-    var template = '<tr id={layerLabel}>' +
-                    '<td><img src="images/drag.gif" class="drag-icon" id={layerLabel} /></td>' +
-                    '<td> {layerLabel} </td>' +
-                    '<td><div id="{layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: {color}" color={color} background-color={color} ></div></td>' +
-                    '<td><input type="checkbox" class="additional_selectors" id={layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>' +
-                    '</tr>';
+    var template =  `<tr id=${layerLabel}> 
+                     <td><img src="images/drag.gif" class="drag-icon" id=${layerLabel} /></td> 
+                     <td> ${layerLabel} </td>' +
+                     <td><div id="${layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: ${color}" color=${color} background-color=${color} ></div></td> 
+                     <td><input type="checkbox" class="additional_selectors" id=${layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td> 
+                     </tr>;`
   }
-  template = template.replace(new RegExp('{layerLabel}', 'g'), layerLabel)
-                     .replace(new RegExp('{color}', 'g'), color);
                      
   $('#tbody_additionalDataLayers').append(template);
   $("#tbody_additionalDataLayers").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).disableSelection();

From 5bb9f34f0cac005cb3d5eb80ec19ca8482449db9 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 20 Sep 2021 18:26:28 -0500
Subject: [PATCH 0408/1020] implement batch coloring!

---
 anvio/data/interactive/genomeview.html       |  2 +-
 anvio/data/interactive/js/genomeview/main.js |  1 +
 anvio/data/interactive/js/genomeview/ui.js   | 35 +++++++++++++++++++-
 3 files changed, 36 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index c689734779..ea979fd861 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -270,7 +270,7 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                               </tr>
                               <tr>
                                   <td class="col-md-2"></td>
-                                  <td class="col-md-10"><button type="button" class="btn btn-default" onclick="batchColor(2);">Apply</button></td>
+                                  <td class="col-md-10"><button type="button" class="btn btn-default" onclick="batchColor();">Apply</button></td>
                               </tr>
                           </tbody></table>
                         </div>
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index a69fd04caf..916d43e53d 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -58,6 +58,7 @@ var genomeLabelsCanvas;
 var brush;
 var drawer
 var color_db;
+var counts; // stores # occurences for each category in the current function type
 var genomeData;
 
 $(document).ready(function () {
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 58eff5c416..afb58f4fc9 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -451,7 +451,7 @@ function changeGenomeOrder(updatedOrder){
  *  @param thresh_count    : int indicating min # occurences required for a given category to be included in the table
  */
 function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=filter_gene_colors_to_window, sort_by_count=order_gene_colors_by_count, thresh_count = thresh_count_gene_colors) {
-  let db, counts;
+  let db;
   if(fn_type == 'Source') {
     db = default_source_colors;
   } else {
@@ -567,3 +567,36 @@ function resetFunctionColors(fn_colors=null) {
   if($('#gene_color_order') == null) return;
   generateColorTable(fn_colors, color_db);
 }
+
+/*
+ *  Responds to 'Apply' button in Settings panel under batch coloring
+ */
+ function batchColor(legend_id=2) {
+     var rule = $('[name=batch_rule_'+legend_id+']:checked').val()
+     var color = $('#batch_colorpicker_' + legend_id).attr('color');
+     var randomize_color = $('#batch_randomcolor_' + legend_id).is(':checked');
+
+     let fn_type = $('#gene_color_order').val();
+     let dict = getCustomColorDict(fn_type);
+     Object.keys(dict).forEach(category => {
+       if(randomize_color) {
+         // color = randomColor();
+         // TODO: instead of using default color dict for random colors, dynamically create random color here to avoid similarity to chosen group color
+       }
+       let code = getCleanCagCode(category);
+       if(rule == 'all') {
+         $("#picker_" + code).colpickSetColor(color);
+       } else if(rule == 'name') {
+         if(category.indexOf($('#name_rule_' + legend_id).val().toLowerCase()) > -1) {
+           $("#picker_" + code).colpickSetColor(color);
+         }
+       } else if(rule == 'count') {
+         let count = counts[category];
+         if (eval(count + unescape($('#count_rule_'+legend_id).val()) + " " + parseFloat($('#count_rule_value_'+legend_id).val()))) {
+           $("#picker_" + code).colpickSetColor(color);
+         }
+       }
+     });
+
+     drawer.draw();
+ }

From ff619df7fb7d2b85495a27c66c3b262739189eba Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 20 Sep 2021 18:33:59 -0500
Subject: [PATCH 0409/1020] cleanup

---
 anvio/data/interactive/genomeview.html     | 14 +++++++-------
 anvio/data/interactive/js/genomeview/ui.js | 12 ++++++------
 2 files changed, 13 insertions(+), 13 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index ea979fd861..617c99d13a 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -248,25 +248,25 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                               <tbody><tr>
                                   <td class="col-md-2">Rule: </td>
                                   <td class="col-md-10">
-                                      <input type="radio" name="batch_rule_2" value="all" checked=""> All <br>
-                                      <input type="radio" name="batch_rule_2" value="name"> Name contains <input type="text" id="name_rule_2" size="8"><br>
-                                      <input type="radio" name="batch_rule_2" value="count"> Count
-                                          <select id="count_rule_2">
+                                      <input type="radio" name="batch_rule" value="all" checked=""> All <br>
+                                      <input type="radio" name="batch_rule" value="name"> Name contains <input type="text" id="name_rule" size="8"><br>
+                                      <input type="radio" name="batch_rule" value="count"> Count
+                                          <select id="count_rule">
                                               <option selected="">==</option>
                                               <option>&lt;</option>
                                               <option>&gt;</option>
                                           </select>
-                                          <input type="text" id="count_rule_value_2" size="3">
+                                          <input type="text" id="count_rule_value" size="3">
                                       <br>
                                   </td>
                               </tr>
                               <tr>
                                   <td class="col-md-2">Color: </td>
-                                  <td class="col-md-10"><div id="batch_colorpicker_2" class="colorpicker" color="#FFFFFF" style="margin-right: 5px; background-color: #FFFFFF; float: none; "></div></td>
+                                  <td class="col-md-10"><div id="batch_colorpicker" class="colorpicker" color="#FFFFFF" style="margin-right: 5px; background-color: #FFFFFF; float: none; "></div></td>
                               </tr>
                               <tr>
                                   <td class="col-md-2"></td>
-                                  <td class="col-md-10"><input id="batch_randomcolor_2" type="checkbox"> Assign random color</td>
+                                  <td class="col-md-10"><input id="batch_randomcolor" type="checkbox"> Assign random color</td>
                               </tr>
                               <tr>
                                   <td class="col-md-2"></td>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index afb58f4fc9..ee2e6a0ab8 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -571,10 +571,10 @@ function resetFunctionColors(fn_colors=null) {
 /*
  *  Responds to 'Apply' button in Settings panel under batch coloring
  */
- function batchColor(legend_id=2) {
-     var rule = $('[name=batch_rule_'+legend_id+']:checked').val()
-     var color = $('#batch_colorpicker_' + legend_id).attr('color');
-     var randomize_color = $('#batch_randomcolor_' + legend_id).is(':checked');
+ function batchColor() {
+     var rule = $('[name=batch_rule]:checked').val()
+     var color = $('#batch_colorpicker').attr('color');
+     var randomize_color = $('#batch_randomcolor').is(':checked');
 
      let fn_type = $('#gene_color_order').val();
      let dict = getCustomColorDict(fn_type);
@@ -587,12 +587,12 @@ function resetFunctionColors(fn_colors=null) {
        if(rule == 'all') {
          $("#picker_" + code).colpickSetColor(color);
        } else if(rule == 'name') {
-         if(category.indexOf($('#name_rule_' + legend_id).val().toLowerCase()) > -1) {
+         if(category.indexOf($('#name_rule').val().toLowerCase()) > -1) {
            $("#picker_" + code).colpickSetColor(color);
          }
        } else if(rule == 'count') {
          let count = counts[category];
-         if (eval(count + unescape($('#count_rule_'+legend_id).val()) + " " + parseFloat($('#count_rule_value_'+legend_id).val()))) {
+         if (eval(count + unescape($('#count_rule').val()) + " " + parseFloat($('#count_rule_value').val()))) {
            $("#picker_" + code).colpickSetColor(color);
          }
        }

From d81aaecf43cdc0ba85eeff49213217db5efe2070 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 21 Sep 2021 13:31:52 -0500
Subject: [PATCH 0410/1020] fix

---
 anvio/data/interactive/js/genomeview/ui.js    |  1 +
 anvio/data/interactive/js/genomeview/utils.js | 14 +++++++-------
 2 files changed, 8 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index ee2e6a0ab8..a3485e5409 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -497,6 +497,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
 
     // Create custom color dict from categories
     db = getCustomColorDict(fn_type, cags=Object.keys(counts), order=order);
+    if(Object.keys(db).includes("Other") && !db["Other"]) db["Other"] = "#FFFFFF"; //  bug fix
   }
 
   // Override default values with any values supplied to fn_colors
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index a75d325a23..926348dcd4 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -192,21 +192,21 @@ function getCustomColorDict(fn_type, cags=null, order=null) {
   if(cags.includes("Other")) cags.push(cags.splice(cags.indexOf("Other"), 1)[0]);
   if(cags.includes("None")) cags.push(cags.splice(cags.indexOf("None"), 1)[0]);
 
-  let out = custom_cag_colors.reduce((out, field, index) => {
+  let dict = custom_cag_colors.reduce((out, field, index) => {
     out[cags[index]] = field;
     return out;
   }, {});
 
   // sort using order
   if(order) {
-    let colors = Object.values(out);
-    Object.keys(out).forEach(cag => { out[cag] = colors[order[cag]] });
+    let colors = Object.values(dict);
+    Object.keys(dict).forEach(cag => { dict[cag] = colors[order[cag]] });
   }
 
-  if(out["Other"]) out["Other"] = "#FFFFFF";
-  if(out["None"]) out["None"] = "#808080";
-  delete out["undefined"];
-  return out;
+  if(dict["Other"]) dict["Other"] = "#FFFFFF";
+  if(dict["None"]) dict["None"] = "#808080";
+  delete dict["undefined"];
+  return dict;
 }
 
 function orderColorTable(order) {

From cb28b00b2e99ddc260d0c3112894854d3180d106 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 21 Sep 2021 13:50:25 -0500
Subject: [PATCH 0411/1020] filter gene colors to current window

---
 anvio/data/interactive/js/genomeview/main.js |  2 +-
 anvio/data/interactive/js/genomeview/ui.js   | 14 +++++++++-----
 2 files changed, 10 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 916d43e53d..52729c3c68 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -51,7 +51,7 @@ var percentScale = false; // if true, scale measured in proportions (0-1) of tot
 var geneLabelPos = "above"; // gene label position; one of "above", "slanted", "inside"
 var thresh_count_gene_colors = 4; // min # occurences of annotation for filtering gene color table
 var order_gene_colors_by_count = true; // if true, order annotations on gene color table by descending order of count, otherwise order alphabetically
-var filter_gene_colors_to_window = true; // if true, only display gene colors in current render window, otherwise show all gene colors in split
+var filter_gene_colors_to_window = false; // if true, only display gene colors in current render window, otherwise show all gene colors in split
 var mainCanvasHeight;
 var canvas;
 var genomeLabelsCanvas;
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index a3485e5409..d3cc4fd6ec 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -446,11 +446,11 @@ function changeGenomeOrder(updatedOrder){
  *  @param fn_colors :       dict matching each category to a hex color code to override defaults
  *  @param fn_type :         string indicating function category type
  *  @param highlight_genes : array of format [{genomeID: 'g01', geneID: 3, color: '#FF0000'}, ...] to override other coloring for specific genes
- *  @param filter_to_split : if true, filters categories to only those shown in the split
+ *  @param filter_to_window : if true, filters categories to only those shown in the current render window
  *  @param sort_by_count   : if true, sort annotations by # occurrences, otherwise sort alphabetically
  *  @param thresh_count    : int indicating min # occurences required for a given category to be included in the table
  */
-function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=filter_gene_colors_to_window, sort_by_count=order_gene_colors_by_count, thresh_count = thresh_count_gene_colors) {
+function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_window=filter_gene_colors_to_window, sort_by_count=order_gene_colors_by_count, thresh_count = thresh_count_gene_colors) {
   let db;
   if(fn_type == 'Source') {
     db = default_source_colors;
@@ -459,9 +459,13 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
 
     // Traverse categories
     for(genome of settings['genomeData']['genomes']) {
-      let geneFuns = genome[1].genes.functions;
-      for(let i = 0; i < Object.keys(geneFuns)[Object.keys(geneFuns).length-1]; i++) {
-        let cag = getCagForType(geneFuns[i], fn_type);
+      let gene_calls = genome[1].genes.gene_calls;
+      let gene_funs = genome[1].genes.functions;
+
+      for(let i = 0; i < Object.keys(gene_calls)[Object.keys(gene_calls).length-1]; i++) {
+        console.log(gene_calls[i].start < renderWindow[0] || gene_calls[i].stop > renderWindow[1])
+        if(gene_calls[i].start < renderWindow[0] || gene_calls[i].stop > renderWindow[1]) continue;
+        let cag = getCagForType(gene_funs[i], fn_type);
         counts.push(cag ? cag : "None");
       }
     }

From dd8d9ffda4a9fe3718b388c4912463611d101c90 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 21 Sep 2021 13:58:52 -0500
Subject: [PATCH 0412/1020] update color table upon changing render window

---
 anvio/data/interactive/js/genomeview/navigation.js | 6 +++++-
 anvio/data/interactive/js/genomeview/ui.js         | 3 +--
 2 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index e7f6051d2a..290d4eb044 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -171,6 +171,11 @@ function updateRenderWindow() {
     let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
     let diff = end - start > 10000 ? Math.floor((end - start)/2) : 5000;
     renderWindow = [clamp(start - diff, 0, genomeMax), clamp(end + diff, 0, genomeMax)];
+
+    if(filter_gene_colors_to_window) {
+      generateColorTable(null, color_db);
+      // TODO: filter to window for percent scale, too
+    }
   }
 }
 
@@ -214,4 +219,3 @@ function viewCluster(gc) {
     console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
     return null;
   }
-}
\ No newline at end of file
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index d3cc4fd6ec..a67235c8f3 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -463,8 +463,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
       let gene_funs = genome[1].genes.functions;
 
       for(let i = 0; i < Object.keys(gene_calls)[Object.keys(gene_calls).length-1]; i++) {
-        console.log(gene_calls[i].start < renderWindow[0] || gene_calls[i].stop > renderWindow[1])
-        if(gene_calls[i].start < renderWindow[0] || gene_calls[i].stop > renderWindow[1]) continue;
+        if(filter_to_window && gene_calls[i].start < renderWindow[0] || gene_calls[i].stop > renderWindow[1]) continue;
         let cag = getCagForType(gene_funs[i], fn_type);
         counts.push(cag ? cag : "None");
       }

From fe5314d1782fc407e46c1dede248317a3752ec81 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 22 Sep 2021 18:52:12 +0000
Subject: [PATCH 0413/1020] tidying

---
 anvio/data/interactive/js/genomeview/navigation.js | 2 --
 1 file changed, 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 290d4eb044..525652322b 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -49,7 +49,6 @@
     if(newStart == 0 && newEnd == genomeMax) { // for extra-zoomed-out view
       scaleFactor = 0.01;
       if(dynamicScaleInterval) adjustScaleInterval();
-    // draw();
     drawer.draw()
       return;
     }
@@ -141,7 +140,6 @@ function drawScale() {
 
       if(dynamicScaleInterval) drawer.adjustScaleInterval();
 
-      // draw();
       drawer.draw()
       let moveToX = percentScale ? getRenderXRangeForFrac()[0] : xDisplacement+scaleFactor*b[0];
       canvas.absolutePan({x: moveToX, y: 0});

From 506fa8d6ceb18b92edeec93cf88f1018d6d1d69d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 22 Sep 2021 18:53:20 +0000
Subject: [PATCH 0414/1020] spring cleaning

---
 anvio/data/interactive/js/genomeview/ui.js | 10 +---------
 1 file changed, 1 insertion(+), 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index a67235c8f3..957130a449 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -50,7 +50,6 @@ function setEventListeners(){
       let [l, r] = getFracForVPT();
       if (l < renderWindow[0] || r > renderWindow[1]) {
         updateRenderWindow();
-        // draw();
         drawer.draw()
       }
     }
@@ -61,7 +60,7 @@ function setEventListeners(){
     this.isDragging = false;
     this.selection = true;
     if (!this.shades) {
-      // slid a genome
+      // slide a genome
       this.shades = true;
       drawTestShades();
       bindViewportToWindow();
@@ -156,13 +155,11 @@ function setEventListeners(){
   $('#gene_color_order').on('change', function () {
     color_db = $(this).val();
     generateColorTable(null, color_db); // TODO: include highlight_genes, fn_colors etc from state
-    // draw();
     drawer.draw()
     $(this).blur();
   });
   $('#arrow_style').on('change', function () {
     arrowStyle = parseInt($(this).val());
-    // draw();
     drawer.draw()
     $(this).blur();
   });
@@ -175,12 +172,10 @@ function setEventListeners(){
     showLabels = !showLabels;
     xDisplacement = showLabels ? 120 : 0;
     alignToGC = null;
-    // draw();
     drawer.draw()
   });
   $('#show_gene_labels_box').on('change', function () {
     showGeneLabels = !showGeneLabels;
-    // draw();
     drawer.draw()
   });
   $('#thresh_count').on('keydown', function (e) {
@@ -370,7 +365,6 @@ function toggleAdditionalDataLayer(e){
     settings['display']['additionalDataLayers'][layer] = false
     maxGroupSize -= 1 // decrease group height if hiding the layer
   }
-  // draw()
   drawer.draw()
 }
 
@@ -418,7 +412,6 @@ function respondToBookmarkSelect(){
  */
 function changeGroupLayersOrder(updatedOrder){
   settings['group-layer-order'] = updatedOrder
-  // draw()
   drawer.draw()
 }
 
@@ -435,7 +428,6 @@ function changeGenomeOrder(updatedOrder){
     })
   })
   settings['genomeData']['genomes'] = newGenomeOrder
-  // draw()
   drawer.draw()
 }
 

From d65eb2d06ab3d238aba721a08d9d30926ff1601e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 22 Sep 2021 18:53:43 +0000
Subject: [PATCH 0415/1020] clean

---
 anvio/data/interactive/js/genomeview/main.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 52729c3c68..1d8cb7527d 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -218,7 +218,6 @@ function loadAll() {
   brush.extent([parseInt($('#brush_start').val()), parseInt($('#brush_end').val())]);
   brush(d3.select(".brush"));
   updateRenderWindow();
-  // draw();
 
   setEventListeners()
   console.log('Sending this data obj to GenomeDrawer', settings)

From 124c1deaa24a1a344054576c94d0f7bb7e51de1a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 23 Sep 2021 15:07:59 +0000
Subject: [PATCH 0416/1020] fix my oopsie :/

---
 anvio/data/interactive/js/genomeview/navigation.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 525652322b..a64662cebc 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -217,3 +217,4 @@ function viewCluster(gc) {
     console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
     return null;
   }
+}

From 1469e8341508531f825e10ec6c985329bfd1e2d0 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 23 Sep 2021 15:15:39 +0000
Subject: [PATCH 0417/1020] begin serializeState processing

---
 anvio/data/interactive/js/genomeview/main.js | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 1d8cb7527d..fad2884a40 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -112,6 +112,15 @@ function serializeSettings() {
   // TODO same process as the serializeSettings() function for anvi-interactive
   // first we run through all of the UI element default values and store them as state
   // then we update them as necessary below in processState
+  let state = {}
+
+  state['genome-spacing'] = $('#genome_spacing').val()
+  state['order-method'] = $('#genome_order_select').val()
+  state['dynamic-scale-interval'] = $('#show_dynamic_scale_box').is(':checked')
+  state['genome-scale-interval'] = $('#genome_scale_interval').val()
+  state['arrow-stype'] = $('#arrow_style').val()
+  state['group-layer-order'] = settings['group-layer-order']
+  state['bookmarks'] = settings['display']['bookmarks']
 }
 
 function processState(stateName, stateData) {

From 2781e832dd2c96497439e2d8525a795d1471655b Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 23 Sep 2021 15:25:44 +0000
Subject: [PATCH 0418/1020] now with more serialized state!

---
 anvio/data/interactive/js/genomeview/main.js | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index fad2884a40..105ae159ea 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -121,6 +121,12 @@ function serializeSettings() {
   state['arrow-stype'] = $('#arrow_style').val()
   state['group-layer-order'] = settings['group-layer-order']
   state['bookmarks'] = settings['display']['bookmarks']
+  state['gene-color-order'] = $('#gene_color_order').val()
+  state['gene-link-style'] = $('#link_style').val()
+  state['gene-shade-style'] = $('#shade_by').val()
+  state['show-genome-labels'] = $('#show_genome_labels_box').is(':checked')
+  state['genome-label-size'] = $('#genome_label').val()
+  state['genome-label-color'] = $('#genome_label_color').attr(':color')
 }
 
 function processState(stateName, stateData) {

From eaec03361dd0824abb428632312db5279f557fe6 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 23 Sep 2021 12:08:37 -0500
Subject: [PATCH 0419/1020] fix

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 957130a449..cfb72064c7 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -455,7 +455,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
       let gene_funs = genome[1].genes.functions;
 
       for(let i = 0; i < Object.keys(gene_calls)[Object.keys(gene_calls).length-1]; i++) {
-        if(filter_to_window && gene_calls[i].start < renderWindow[0] || gene_calls[i].stop > renderWindow[1]) continue;
+        if(filter_to_window && (gene_calls[i].start < renderWindow[0] || gene_calls[i].stop > renderWindow[1])) continue;
         let cag = getCagForType(gene_funs[i], fn_type);
         counts.push(cag ? cag : "None");
       }

From ae99aa5d87238d38df125ec7932e313cdbbc8044 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 23 Sep 2021 18:13:09 -0500
Subject: [PATCH 0420/1020] add UI to show only gene colors in current window

---
 anvio/data/interactive/genomeview.html     | 5 +++++
 anvio/data/interactive/js/genomeview/ui.js | 4 ++++
 2 files changed, 9 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 617c99d13a..2a52170c23 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -229,6 +229,11 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                         </div>
 
                         <tbody>
+                            <tr>
+                              <td style="margin-bottom: 10px;">Only show categories in the current render window:</td>
+                              <td><input type="checkbox" id="show_only_cags_in_window" value="unchecked" style="margin-bottom: 10px;"></td>
+                            </tr>
+                            <br>
                             <tr>
                               <td style="margin-bottom: 10px;">Filter:</td>
                               <td><input type="text" class="form-control input-sm" id="thresh_count" value="4" style="margin-bottom: 10px;"></td>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index cfb72064c7..4be7828756 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -178,6 +178,10 @@ function setEventListeners(){
     showGeneLabels = !showGeneLabels;
     drawer.draw()
   });
+  $('#show_only_cags_in_window').on('change', function () {
+    filter_gene_colors_to_window = !filter_gene_colors_to_window;
+    generateColorTable(null, color_db);
+  });
   $('#thresh_count').on('keydown', function (e) {
     if (e.keyCode == 13) { // 13 = enter key
       filterColorTable($(this).val());

From c0e0c32cec32f80beb284c03e37b0e1ba5473854 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 23 Sep 2021 21:30:29 -0500
Subject: [PATCH 0421/1020] fix -- include "Other" in batch coloring

---
 anvio/data/interactive/js/genomeview/ui.js | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 4be7828756..ac81c44496 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -578,6 +578,8 @@ function resetFunctionColors(fn_colors=null) {
 
      let fn_type = $('#gene_color_order').val();
      let dict = getCustomColorDict(fn_type);
+     if(Object.keys(counts).includes("Other")) dict["Other"] = $("#picker_Other").attr('color') ? $("#picker_Other").attr('color') : "#FFFFFF";
+
      Object.keys(dict).forEach(category => {
        if(randomize_color) {
          // color = randomColor();

From 28268ad79f9815c0bd52b092aeb8c6afccf9b1fb Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 23 Sep 2021 21:33:24 -0500
Subject: [PATCH 0422/1020] more flexible name matching

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index ac81c44496..2bb85dc170 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -589,7 +589,7 @@ function resetFunctionColors(fn_colors=null) {
        if(rule == 'all') {
          $("#picker_" + code).colpickSetColor(color);
        } else if(rule == 'name') {
-         if(category.indexOf($('#name_rule').val().toLowerCase()) > -1) {
+         if(category.toLowerCase().indexOf($('#name_rule').val().toLowerCase()) > -1) {
            $("#picker_" + code).colpickSetColor(color);
          }
        } else if(rule == 'count') {

From d6be83d02fe5c32c800784ef64929bdb44dfdbcd Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 23 Sep 2021 21:57:00 -0500
Subject: [PATCH 0423/1020] fixes from refactoring

---
 anvio/data/interactive/js/genomeview/drawer.js     | 2 +-
 anvio/data/interactive/js/genomeview/navigation.js | 2 +-
 anvio/data/interactive/js/genomeview/ui.js         | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 1d75e16f8c..3d7de3640b 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -456,7 +456,7 @@ GenomeDrawer.prototype.clearShades = function(){
   canvas.getObjects().filter(obj => obj.id == 'link').forEach((l) => { canvas.remove(l) });
 }
 
-GenomeDrawer.prototype.setPtsPerADL = function (){
+GenomeDrawer.prototype.setPtsPerADL = function(newResolution){
   if(isNaN(newResolution)) return;
   newResolution = parseInt(newResolution);
   if(newResolution < 0 || newResolution > genomeMax) {
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index a64662cebc..d192a87a96 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -210,7 +210,7 @@ function viewCluster(gc) {
     }
     updateScalePos();
     updateRenderWindow();
-    draw();
+    drawer.draw();
     glowGenes(genes);
     return (first ? null : [firstGenomeID, geneMid]);
   } else {
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 2bb85dc170..528c5ca1d9 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -165,7 +165,7 @@ function setEventListeners(){
   });
   $('#gene_text_pos').on('change', function () {
     geneLabelPos = $(this).val();
-    if (!(geneLabelPos == "inside" && arrowStyle != 3)) draw();
+    if (!(geneLabelPos == "inside" && arrowStyle != 3)) drawer.draw();
     $(this).blur();
   });
   $('#show_genome_labels_box').on('change', function () {

From f2c4f747b6be7531c8499277150257d74c4d64bc Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 23 Sep 2021 22:10:10 -0500
Subject: [PATCH 0424/1020] genes won't glow themselves

---
 anvio/data/interactive/js/genomeview/navigation.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index d192a87a96..797f5a3c03 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -211,7 +211,7 @@ function viewCluster(gc) {
     updateScalePos();
     updateRenderWindow();
     drawer.draw();
-    glowGenes(genes);
+    drawer.glowGenes(genes);
     return (first ? null : [firstGenomeID, geneMid]);
   } else {
     console.log('Warning: ' + gc + ' is not a gene cluster in data structure');

From 48fd5d797786bfb53855e0abeaaad94d8fdcd1bd Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 24 Sep 2021 16:52:43 +0000
Subject: [PATCH 0425/1020] additional serialized state

---
 anvio/data/interactive/js/genomeview/main.js | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 105ae159ea..4f8c4854ff 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -127,6 +127,13 @@ function serializeSettings() {
   state['show-genome-labels'] = $('#show_genome_labels_box').is(':checked')
   state['genome-label-size'] = $('#genome_label').val()
   state['genome-label-color'] = $('#genome_label_color').attr(':color')
+  state['show-gene-labels'] = $('#show_gene_labels_box').us(':checked')
+  state['gene-label-size'] = $('#gene_label').val()
+  state['gene-label-color'] = $('#gene_label_color').attr(':color')
+  state['gene-text-position'] = $('#gene_text_pos').val()
+  state['gc-window-size'] = $('#gc_window_size').val()
+  state['gc-step-size'] = $('#gc_step_size').val()
+  state['gc-overlay-color'] = $('#gc_overlay_color').attr(':color')
 }
 
 function processState(stateName, stateData) {

From 19137816ead16dec70b6d6e8673875b5eafa88a5 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 24 Sep 2021 17:12:53 +0000
Subject: [PATCH 0426/1020] targetable class for all annotation color rows

---
 anvio/data/interactive/js/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index b3aea2dff0..bf3417627c 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -70,7 +70,7 @@ function appendColorRow(label, cagCode, color, prepend=false) {
    '<tr id="picker_row_' + code + '"> \
       <td></td> \
       <td> \
-        <div id="picker_' + code + '" class="colorpicker" color="' + color + '" background-color="' + color + '" style="background-color: ' + color + '; margin-right:16px; margin-left:16px"></div> \
+        <div id="picker_' + code + '" class="colorpicker annotation_color" color="' + color + '" background-color="' + color + '" style="background-color: ' + color + '; margin-right:16px; margin-left:16px"></div> \
       </td> \
       <td>' + label + '</td> \
     </tr>';

From aca44ec1ccf5123d1aec53a8490af11123d000bb Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 24 Sep 2021 17:15:45 +0000
Subject: [PATCH 0427/1020] iterate all annotation color rows, serialize values
 to state

---
 anvio/data/interactive/js/genomeview/main.js | 13 +++++++++++--
 1 file changed, 11 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 4f8c4854ff..b2165815a8 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -105,7 +105,6 @@ function loadState() {
   //   }
   // })
   processState('default', stateData) // moved here until state route is hooked in from backend
-
 }
 
 function serializeSettings() {
@@ -121,7 +120,6 @@ function serializeSettings() {
   state['arrow-stype'] = $('#arrow_style').val()
   state['group-layer-order'] = settings['group-layer-order']
   state['bookmarks'] = settings['display']['bookmarks']
-  state['gene-color-order'] = $('#gene_color_order').val()
   state['gene-link-style'] = $('#link_style').val()
   state['gene-shade-style'] = $('#shade_by').val()
   state['show-genome-labels'] = $('#show_genome_labels_box').is(':checked')
@@ -134,6 +132,17 @@ function serializeSettings() {
   state['gc-window-size'] = $('#gc_window_size').val()
   state['gc-step-size'] = $('#gc_step_size').val()
   state['gc-overlay-color'] = $('#gc_overlay_color').attr(':color')
+  state['gene-color-order'] = $('#gene_color_order').val()
+  state['annotation-color-dict'] = []
+
+  $('.annotation_color').each((idx, row) => {
+    let color = $(row).attr('color')
+    let id = ($(row).attr('id').split('_')[1])
+    state['annotation-color-dict'].push({
+      id : id, 
+      color : color 
+    })
+  })
 }
 
 function processState(stateName, stateData) {

From 9d79855523d71aee9dafccf5d095d9b6164b0f0b Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 26 Sep 2021 17:31:48 -0500
Subject: [PATCH 0428/1020] no trailing whitespaces please.

---
 anvio/data/interactive/js/main.js | 104 +++++++++++++++---------------
 1 file changed, 52 insertions(+), 52 deletions(-)

diff --git a/anvio/data/interactive/js/main.js b/anvio/data/interactive/js/main.js
index b70a095cdf..c4c40cc578 100644
--- a/anvio/data/interactive/js/main.js
+++ b/anvio/data/interactive/js/main.js
@@ -1455,7 +1455,7 @@ function serializeSettings(use_layer_names) {
     state['edge-normalization'] = $('#edge_length_normalization').is(':checked');
     state['custom-layer-margin'] = $('#custom_layer_margin').is(':checked');
     state['show-grid-for-bins'] = $('#show_grid_for_bins').is(':checked');
-    state['show-shade-for-bins'] = $('#show_shade_for_bins').is(':checked'); 
+    state['show-shade-for-bins'] = $('#show_shade_for_bins').is(':checked');
     state['shade-fill-opacity'] = $('#shade_fill_opacity').val();
     state['invert-shade-for-bins'] = $('#invert_shade_for_bins').is(':checked');
     state['inverse-fill-opacity'] = $('#inverse_fill_opacity').val();
@@ -2371,23 +2371,23 @@ function loadState()
 
 function processState(state_name, state) {
     let serializedState = serializeSettings(true)
-    // state obj returned from serializeSettings, representing the default state anvio generates. 
-    // We can now check it against the user supplied state to update/ADD values in the default. 
+    // state obj returned from serializeSettings, representing the default state anvio generates.
+    // We can now check it against the user supplied state to update/ADD values in the default.
     let modifiedItems = []
     // keep track of the things we update and let the user know their state data has been tweaked
-    
-    function traverseNestedData(serializedStateObj, providedStateObj){ 
-        isObject = item => typeof item === 'object' ? true : false // check and end recursion if not provided an object 
+
+    function traverseNestedData(serializedStateObj, providedStateObj){
+        isObject = item => typeof item === 'object' ? true : false // check and end recursion if not provided an object
 
         if(isObject(serializedStateObj)){
             Object.entries(serializedStateObj).forEach(([key, value]) => {
-                if(serializedStateObj[key] === providedStateObj[key]){ // if user's state element matches anvio's generated state element, do nothing 
-                    return 
-                } else if(providedStateObj[key] == null || providedStateObj[key] == undefined){ // if user's state is missing an element found in anvio's generated state , add it 
-                    providedStateObj[key] = value                     
+                if(serializedStateObj[key] === providedStateObj[key]){ // if user's state element matches anvio's generated state element, do nothing
+                    return
+                } else if(providedStateObj[key] == null || providedStateObj[key] == undefined){ // if user's state is missing an element found in anvio's generated state , add it
+                    providedStateObj[key] = value
                 } else if (providedStateObj[key] !== value){ // user's state element doesnt match anvio's, so we go again
-                    traverseNestedData(serializedStateObj[key], providedStateObj[key])       
-                } 
+                    traverseNestedData(serializedStateObj[key], providedStateObj[key])
+                }
             })
         }
     }
@@ -2459,7 +2459,7 @@ function processState(state_name, state) {
             }
         }
 
-    } else { // generate layer order if not in state 
+    } else { // generate layer order if not in state
         layer_order = Array.apply(null, Array(parameter_count-1)).map(function (_, i) {return i+1;}); // range(1, parameter_count)
     }
 
@@ -2474,7 +2474,7 @@ function processState(state_name, state) {
         modifiedItems.push('views')
     }
 
-    if (state.hasOwnProperty('layers') && state['layers'] === serializedState['layers']) { 
+    if (state.hasOwnProperty('layers') && state['layers'] === serializedState['layers']) {
         layers = {};
         for (let key in state['layers'])
         {
@@ -2533,64 +2533,64 @@ function processState(state_name, state) {
                 stack_bar_colors[layer_id] = state['stack_bar_colors'][key];
             }
         }
-    } 
+    }
 
     if (state.hasOwnProperty('tree-type')){
         $('#tree_type').val(state['tree-type']).trigger('change');
-    } 
+    }
 
     if (state.hasOwnProperty('angle-min')){
         $('#angle-min').val(state['angle-min']);
-    } 
+    }
 
     if (state.hasOwnProperty('tree-height')){
         $('#tree_height').val(state['tree-height']);
-    } 
+    }
 
     if (state.hasOwnProperty('tree-width')){
         $('#tree_width').val(state['tree-width']);
-    } 
+    }
 
     if (state.hasOwnProperty('angle-max')){
         $('#angle-max').val(state['angle-max']);
-    } 
+    }
 
     if (state.hasOwnProperty('tree-radius')) {
         $('#tree-radius-container').show();
         $('#tree-radius').val(state['tree-radius']);
-    } 
+    }
 
     if (state.hasOwnProperty('order-by') && $("#trees_container option[value='" + state['order-by'] + "']").length) {
         $('#trees_container').val(state['order-by']);
-    } 
+    }
 
     if (state.hasOwnProperty('current-view') && $("#views_container option[value='" + state['current-view'] + "']").length) {
         $('#views_container').val(state['current-view']);
-    } 
+    }
 
     if (state.hasOwnProperty('max-font-size')) {
         $('#max_font_size').val(state['max-font-size']);
-    } 
+    }
 
     if (state.hasOwnProperty('max-font-size-label')) {
         $('#max_font_size_label').val(state['max-font-size-label']);
-    } 
+    }
 
     if (state.hasOwnProperty('layer-margin')){
         $('#layer-margin').val(state['layer-margin']);
-    } 
+    }
 
     if (state.hasOwnProperty('outer-ring-height')){
         $('#outer-ring-height').val(state['outer-ring-height']);
-    } 
+    }
 
     if (state.hasOwnProperty('outer-ring-margin')){
         $('#outer-ring-margin').val(state['outer-ring-margin']);
-    } 
+    }
 
     if (state.hasOwnProperty('edge-normalization')){
         $('#edge_length_normalization').prop('checked', state['edge-normalization']);
-    } 
+    }
 
     if (state.hasOwnProperty('optimize-speed')){
         $('#optimize_speed').prop('checked', state['optimize-speed']);
@@ -2598,46 +2598,46 @@ function processState(state_name, state) {
 
     if (state.hasOwnProperty('custom-layer-margin')){
         $('#custom_layer_margin').prop('checked', state['custom-layer-margin']).trigger('change');
-    } 
+    }
 
     if (state.hasOwnProperty('grid-color')) {
         $('#grid_color').attr('color', state['grid-color']);
         $('#grid_color').css('background-color', state['grid-color']);
-    } 
+    }
 
     if (state.hasOwnProperty('grid-width')) {
         $('#grid_width').val(state['grid-width']);
-    } 
+    }
 
     if (state.hasOwnProperty('bin-labels-font-size')) {
         $('#bin_labels_font_size').val(state['bin-labels-font-size']);
-    } 
+    }
 
     if (state.hasOwnProperty('bin-labels-angle')) {
         $('#bin_labels_angle').val(state['bin-labels-angle']);
-    } 
+    }
 
     if (state.hasOwnProperty('show-bin-labels')) {
         $('#show_bin_labels').prop('checked', state['show-bin-labels']).trigger('change');
-    } 
+    }
 
     if (state.hasOwnProperty('autorotate-bin-labels')) {
         $('#autorotate_bin_labels').prop('checked', state['autorotate-bin-labels']).trigger('change');
-    } 
+    }
 
     if (state.hasOwnProperty('estimate-taxonomy')) {
         $('#estimate_taxonomy').prop('checked', state['estimate-taxonomy']).trigger('change');
-    } 
+    }
 
     if (state.hasOwnProperty('show-grid-for-bins')) {
         $('#show_grid_for_bins').prop('checked', state['show-grid-for-bins']).trigger('change');
-    } 
+    }
 
     if (state.hasOwnProperty('show-shade-for-bins')) {
-        $('#show_shade_for_bins').prop('checked', state['show-shade-for-bins']).trigger('change'); 
+        $('#show_shade_for_bins').prop('checked', state['show-shade-for-bins']).trigger('change');
     }
     if (state.hasOwnProperty('shade-fill-opacity')){
-        $('#shade_fill_opacity').val(state['shade-fill-opacity']); 
+        $('#shade_fill_opacity').val(state['shade-fill-opacity']);
     }
     if (state.hasOwnProperty('invert-shade-for-bins')){
         $('#invert_shade_for_bins').prop('checked', state['invert-shade-for-bins']);
@@ -2650,27 +2650,27 @@ function processState(state_name, state) {
     }
     if (state.hasOwnProperty('samples-edge-length-normalization')) {
         $('#samples_edge_length_normalization').prop('checked', state['samples-edge-length-normalization']);
-    } 
+    }
 
     if (state.hasOwnProperty('samples-ignore-branch-length')) {
         $('#samples_ignore_branch_length').prop('checked', state['samples-ignore-branch-length']);
-    } 
+    }
 
     if (state.hasOwnProperty('samples-tree-height')) {
         $('#samples_tree_height').val(state['samples-tree-height']);
-    } 
+    }
 
     if (state.hasOwnProperty('background-opacity')) {
         $('#background_opacity').val(state['background-opacity']);
-    } 
+    }
 
     if (state.hasOwnProperty('draw-guide-lines')) {
         $('#draw_guide_lines').val(state['draw-guide-lines'])
-    } 
+    }
 
     if (state.hasOwnProperty('begins-from-branch')) {
         $('#begins_from_branch').val(state['begins-from-branch'])
-    } 
+    }
 
     // bootstrap values
     if (state.hasOwnProperty('show-support-values')){
@@ -2724,14 +2724,14 @@ function processState(state_name, state) {
                 samples_categorical_colors[key] = state['samples-categorical-colors'][key];
             }
         }
-    } 
+    }
     if (state.hasOwnProperty('samples-stack-bar-colors')) {
         for (let key in state['samples-stack-bar-colors']) {
             if (key in samples_stack_bar_colors) {
                 samples_stack_bar_colors[key] = state['samples-stack-bar-colors'][key];
             }
         }
-    } 
+    }
 
     buildLayersTable(layer_order, views[current_view]);
 
@@ -2741,10 +2741,10 @@ function processState(state_name, state) {
         state['samples-layers'] = serializedState['samples-layers']
         state['samples-layer-order'] = serializedState['samples-layer-order']
         buildSamplesTable(state['samples-layer-order'], state['samples-layers']);
-    } else { 
+    } else {
         traverseNestedData(serializedState['samples-layers'], state['samples-layers'])
         state['samples-layer-order'] = serializedState['samples-layer-order']
-        
+
         buildSamplesTable(state['samples-layer-order'], state['samples-layers']);
         modifiedItems.push('samples layer order, samples layers')
     }
@@ -2763,14 +2763,14 @@ function processState(state_name, state) {
 
     if (state.hasOwnProperty('samples-order') && $(`#samples_order option[value='${state['samples-order']}']`).length > 0) {
         $('#samples_order').val(state['samples-order']).trigger('change');
-    } 
+    }
 
     populateColorDicts();
     buildLegendTables();
 
     current_state_name = state_name;
     toastr.success("State '" + current_state_name + "' successfully loaded.");
-    
+
 }
 
 

From 2166e3b308419ea14e8df2c5148c2ced0088bbba Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 26 Sep 2021 17:50:26 -0500
Subject: [PATCH 0429/1020] cosmetics

---
 anvio/__init__.py | 23 ++++++++++++-----------
 1 file changed, 12 insertions(+), 11 deletions(-)

diff --git a/anvio/__init__.py b/anvio/__init__.py
index bf477eaaa9..47f4449780 100644
--- a/anvio/__init__.py
+++ b/anvio/__init__.py
@@ -94,23 +94,29 @@ def TABULATE(table, header, numalign="right", max_width=0):
 
 # a comprehensive arguments dictionary that provides easy access from various programs that interface anvi'o modules:
 D = {
+    'contigs-db': (
+            ['-c', '--contigs-db'],
+            {'metavar': 'CONTIGS_DB',
+             'required': True,
+             'help': "Anvi'o contigs database."}
+                ),
     'profile-db': (
             ['-p', '--profile-db'],
             {'metavar': "PROFILE_DB",
              'required': True,
-             'help': "Anvi'o profile database"}
+             'help': "Anvi'o profile database."}
                 ),
     'genes-db': (
             ['--genes-db'],
             {'metavar': "GENES_DB",
              'required': True,
-             'help': "Anvi'o genes database"}
+             'help': "Anvi'o genes database."}
                 ),
     'pan-db': (
             ['-p', '--pan-db'],
             {'metavar': "PAN_DB",
              'required': True,
-             'help': "Anvi'o pan database"}
+             'help': "Anvi'o pan database."}
                 ),
     'pan-or-profile-db': (
             ['-p', '--pan-or-profile-db'],
@@ -122,7 +128,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
             ['-g', '--genomes-storage'],
             {'metavar': "GENOMES_STORAGE",
              'required': False,
-             'help': "Anvi'o genomes storage file"}
+             'help': "Anvi'o genomes storage."}
                 ),
     'structure-db': (
             ['-s', '--structure-db'],
@@ -157,12 +163,6 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "contigs, you can create a blank anvi'o profile database to use anvi'o interactive "
                      "interface with that contigs database without any mapping data."}
                 ),
-    'contigs-db': (
-            ['-c', '--contigs-db'],
-            {'metavar': 'CONTIGS_DB',
-             'required': True,
-             'help': "Anvi'o contigs database generated by 'anvi-gen-contigs-database'"}
-                ),
     'runinfo': (
             ['-r', '--runinfo'],
             {'metavar': 'RUNINFO_PATH',
@@ -3270,7 +3270,8 @@ def set_version():
            t.genomes_storage_vesion, \
            t.structure_db_version, \
            t.metabolic_modules_db_version, \
-           t.trnaseq_db_version
+           t.trnaseq_db_version, \
+           t.genome_view_db_version
 
 
 def get_version_tuples():

From 22b1f5f92ff07f6be42611e2d202c764a29018fd Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 26 Sep 2021 17:51:33 -0500
Subject: [PATCH 0430/1020] += the GenomeViewDatabase class

---
 anvio/dbops.py | 73 ++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 73 insertions(+)

diff --git a/anvio/dbops.py b/anvio/dbops.py
index cea4bac7db..e731945956 100644
--- a/anvio/dbops.py
+++ b/anvio/dbops.py
@@ -4571,6 +4571,79 @@ def disconnect(self):
         self.db.disconnect()
 
 
+class GenomeViewDatabase:
+    """To create an empty genome view database and/or access one."""
+    def __init__(self, db_path, run=run, progress=progress, quiet=True):
+        self.db = None
+        self.db_path = db_path
+        self.db_type = 'genome-view'
+
+        self.run = run
+        self.progress = progress
+        self.quiet = quiet
+
+        self.init()
+
+
+    def init(self):
+        if not os.path.exists(self.db_path):
+            return
+
+        self.meta = dbi(self.db_path, expecting=self.db_type).get_self_table()
+
+        for key in []:
+            try:
+                self.meta[key] = int(self.meta[key])
+            except:
+                pass
+
+        self.genomes = set([s.strip() for s in self.meta['genomes'].split(',')])
+
+
+        # open the database
+        self.db = db.DB(self.db_path, anvio.__genome_view_db__version__)
+
+        self.run.info('Genome view database', 'An existing database, %s, has been initiated.' % self.db_path, quiet=self.quiet)
+        self.run.info('Genomes', self.meta['genomes'], quiet=self.quiet)
+
+
+    def touch(self):
+        """Creates an empty genome view database on disk, and sets `self.db` to access to it.
+
+        At some point self.db.disconnect() must be called to complete the creation of the new db."""
+
+        is_db_ok_to_create(self.db_path, self.db_type)
+
+        self.db = db.DB(self.db_path, anvio.__genome_view_db__version__, new_database=True)
+
+        # creating empty default tables
+        self.db.create_table(t.states_table_name, t.states_table_structure, t.states_table_types)
+
+        return self.db
+
+
+    def create(self, meta_values={}):
+        self.touch()
+
+        for key in meta_values:
+            self.db.set_meta_value(key, meta_values[key])
+
+        self.db.set_meta_value('creation_date', time.time())
+        self.db.set_meta_value('genome_view_db_hash', self.get_hash())
+
+        self.disconnect()
+
+        self.run.info('Genome view database', 'A new database, %s, has been created.' % (self.db_path), quiet=self.quiet)
+
+
+    def get_hash(self):
+        return 'hash' + str('%08x' % random.randrange(16**8))
+
+
+    def disconnect(self):
+        self.db.disconnect()
+
+
 ####################################################################################################
 #
 #     TABLES

From 3f10e574b7d57160d0748675feafaaffa8a8183c Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 26 Sep 2021 17:51:58 -0500
Subject: [PATCH 0431/1020] fixy fix -- new keyword is 'genome-view'

---
 anvio/dbops.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/dbops.py b/anvio/dbops.py
index e731945956..36b86f74ee 100644
--- a/anvio/dbops.py
+++ b/anvio/dbops.py
@@ -139,7 +139,7 @@ def __init__(self, args, r=run, p=progress):
         # associated with the call. so having done our part, we will quietly return from here hoping
         # that we are not driving a developer crazy somewhere by doing so.
         D = lambda x: self.__dict__[x] if x in self.__dict__ else None
-        if D('mode') == 'pan' or D('mode') == 'functional' or D('mode') == 'manual' or D('mode') == 'genomeview':
+        if D('mode') == 'pan' or D('mode') == 'functional' or D('mode') == 'manual' or D('mode') == 'genome-view':
             return
 
         A = lambda x: self.args.__dict__[x] if x in self.args.__dict__ else None

From 32c1e072d007fe8541e2e5d8a34f2421ed554b01 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 26 Sep 2021 17:53:05 -0500
Subject: [PATCH 0432/1020] rubbing in the GenomeViewDatabase type into anvi'o

---
 anvio/__init__.py        | 17 +++++++++++++----
 anvio/bottleroutes.py    |  2 +-
 anvio/dbinfo.py          |  8 ++++++++
 anvio/tables/__init__.py |  2 ++
 anvio/tables/states.py   |  5 +++--
 anvio/utils.py           |  5 +++++
 6 files changed, 32 insertions(+), 7 deletions(-)

diff --git a/anvio/__init__.py b/anvio/__init__.py
index 47f4449780..37799904bb 100644
--- a/anvio/__init__.py
+++ b/anvio/__init__.py
@@ -136,6 +136,12 @@ def TABULATE(table, header, numalign="right", max_width=0):
              'required': True,
              'help': "Anvi'o structure database."}
                 ),
+    'genome-view-db': (
+            ['-E', '--genome-view-db'],
+            {'metavar': "GENOME_VIEW_DB",
+             'required': False,
+             'help': "Anvi'o genome view database."}
+                ),
     'only-if-structure': (
             ['--only-if-structure'],
             {'default': False,
@@ -3284,19 +3290,21 @@ def get_version_tuples():
             ("Genome data storage version", __genomes_storage_version__),
             ("Structure DB version", __structure__version__),
             ("KEGG Modules DB version", __kegg_modules_version__),
-            ("tRNA-seq DB version", __trnaseq__version__)]
+            ("tRNA-seq DB version", __trnaseq__version__),
+            ("Genome view DB version", __genome_view_db__version__)]
 
 
 def print_version():
     run.info("Anvi'o", "%s (v%s)" % (__codename__, __version__), mc='green', nl_after=1)
-    run.info("Profile database", __profile__version__)
     run.info("Contigs database", __contigs__version__)
+    run.info("Profile database", __profile__version__)
     run.info("Pan database", __pan__version__)
     run.info("Genome data storage", __genomes_storage_version__)
     run.info("Auxiliary data storage", __auxiliary_data_version__)
     run.info("Structure database", __structure__version__)
     run.info("Metabolic modules database", __kegg_modules_version__)
-    run.info("tRNA-seq database", __trnaseq__version__, nl_after=1)
+    run.info("tRNA-seq database", __trnaseq__version__)
+    run.info("Genome view database", __genome_view_db__version__, nl_after=1)
 
 
 __version__, \
@@ -3309,7 +3317,8 @@ def print_version():
 __genomes_storage_version__ , \
 __structure__version__, \
 __kegg_modules_version__, \
-__trnaseq__version__ = set_version()
+__trnaseq__version__, \
+__genome_view_db__version__ = set_version()
 
 
 if '-v' in sys.argv or '--version' in sys.argv:
diff --git a/anvio/bottleroutes.py b/anvio/bottleroutes.py
index 53ac8becd8..3e6e05b0da 100644
--- a/anvio/bottleroutes.py
+++ b/anvio/bottleroutes.py
@@ -258,7 +258,7 @@ def redirect_to_app(self):
             homepage = 'metabolism.html'
         elif self.interactive.mode == 'inspect':
             redirect('/app/charts.html?id=%s&show_snvs=true&rand=%s' % (self.interactive.inspect_split_name, self.random_hash(8)))
-        elif self.interactive.mode == 'genomeview':
+        elif self.interactive.mode == 'genome-view':
             homepage = 'genomeview.html'
 
         redirect('/app/%s?rand=%s' % (homepage, self.random_hash(8)))
diff --git a/anvio/dbinfo.py b/anvio/dbinfo.py
index 08dc023e4f..3e132ae1de 100644
--- a/anvio/dbinfo.py
+++ b/anvio/dbinfo.py
@@ -275,6 +275,13 @@ def __init__(self, path, *args, **kwargs):
         DBInfo.__init__(self, path)
 
 
+class GenomeViewDBInfo(DBInfo):
+    db_type = 'genome-view'
+    hash_name = 'genome_view_db_hash'
+    def __init__(self, path, *args, **kwargs):
+        DBInfo.__init__(self, path)
+
+
 class FindAnvioDBs(object):
     """A helper class to traverse a directory to find anvi'o databases.
 
@@ -373,4 +380,5 @@ def walk(self):
     'pan': PanDBInfo,
     'trnaseq': TRNADBInfo,
     'modules': ModulesDBInfo,
+    'genome-view': GenomeViewDBInfo,
 }
diff --git a/anvio/tables/__init__.py b/anvio/tables/__init__.py
index 7a1300f67b..4a26cc2376 100644
--- a/anvio/tables/__init__.py
+++ b/anvio/tables/__init__.py
@@ -24,6 +24,7 @@
 trnaseq_db_version = "2"
 workflow_config_version = "2"
 metabolic_modules_db_version = "2"
+genome_view_db_version = "1"
 
 versions_for_db_types = {'contigs': contigs_db_version,
                          'profile': profile_db_version,
@@ -31,6 +32,7 @@
                          'structure': structure_db_version,
                          'pan': pan_db_version,
                          'genomestorage': genomes_storage_vesion,
+                         'genome-view': genome_view_db_version,
                          'auxiliary data for coverages': auxiliary_data_version,
                          'trnaseq': trnaseq_db_version,
                          'config': workflow_config_version,
diff --git a/anvio/tables/states.py b/anvio/tables/states.py
index 417723561a..3262ad3180 100644
--- a/anvio/tables/states.py
+++ b/anvio/tables/states.py
@@ -33,8 +33,9 @@ def __init__(self, db_path):
         self.db_path = db_path
         self.states = {}
 
-        if utils.get_db_type(self.db_path) not in ['profile', 'pan', 'structure', 'genes']:
-            raise ConfigError("Your database '%s' does not seem to have states table, which anvi'o tries to access.")
+        if utils.get_db_type(self.db_path) not in ['profile', 'pan', 'structure', 'genes', 'genome-view']:
+            raise ConfigError(f"Your database at {self.db_path} has a type that does not seem to be compatible "
+                              f"with `TablesForStates` class. You better be working with a new database type :(")
 
         Table.__init__(self, self.db_path, utils.get_required_version_for_db(db_path), run, progress)
 
diff --git a/anvio/utils.py b/anvio/utils.py
index 58c179b479..495a18e59f 100644
--- a/anvio/utils.py
+++ b/anvio/utils.py
@@ -3879,6 +3879,11 @@ def is_profile_db(db_path):
     return True
 
 
+def is_genome_view_db(db_path):
+    dbi(db_path, expecting='genome-view')
+    return True
+
+
 def is_structure_db(db_path):
     dbi(db_path, expecting='structure')
     return True

From 510a796281033fab1f23518b498ff8e1eba58f2e Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 26 Sep 2021 17:54:26 -0500
Subject: [PATCH 0433/1020] now a genome-view-db is a mandatory parameter

---
 bin/anvi-display-genomes | 49 +++++++++++++++++++++-------------------
 1 file changed, 26 insertions(+), 23 deletions(-)

diff --git a/bin/anvi-display-genomes b/bin/anvi-display-genomes
index fe5b78fe9e..85364419e0 100755
--- a/bin/anvi-display-genomes
+++ b/bin/anvi-display-genomes
@@ -39,37 +39,40 @@ if __name__ == '__main__':
     groupA.add_argument(*anvio.A('external-genomes'), **anvio.K('external-genomes'))
     groupA.add_argument(*anvio.A('internal-genomes'), **anvio.K('internal-genomes'))
 
-    groupB = parser.add_argument_group('GENE ASSOCIATIONS', "Tell anvi'o how genes in your genomes related to one another.")
-    groupB.add_argument(*anvio.A('pan-db'), **anvio.K('pan-db', {'required': False}))
+    groupB = parser.add_argument_group('GENOME VIEW DB', "This is a database to store the display settings, bookmarks, etc. If "
+                                "there is no database, it will be AUTOMATICALLY generated.")
+    groupB.add_argument(*anvio.A('genome-view-db'), **anvio.K('genome-view-db', {'required': True}))
 
-    groupC = parser.add_argument_group("PRO STUFF", "Tell anvi'o which gene caller to use.")
-    groupC.add_argument(*anvio.A('gene-caller'), **anvio.K('gene-caller'))
+    groupC = parser.add_argument_group('GENE ASSOCIATIONS', "Tell anvi'o how genes in your genomes relate to one another.")
+    groupC.add_argument(*anvio.A('pan-db'), **anvio.K('pan-db', {'required': False}))
 
-    groupB = parser.add_argument_group('OPTIONAL INPUTS', "Where the yay factor becomes a reality.")
-    groupB.add_argument(*anvio.A('tree'), **anvio.K('tree'))
+    groupD = parser.add_argument_group("PRO STUFF", "Tell anvi'o which gene caller to use.")
+    groupD.add_argument(*anvio.A('gene-caller'), **anvio.K('gene-caller'))
 
-    groupD = parser.add_argument_group('VISUALS RELATED', "Parameters that give access to various adjustements regarding\
+    groupE = parser.add_argument_group('OPTIONAL INPUTS', "Where the yay factor becomes a reality.")
+    groupE.add_argument(*anvio.A('tree'), **anvio.K('tree'))
+
+    groupF = parser.add_argument_group('VISUALS RELATED', "Parameters that give access to various adjustements regarding\
                                                            the interface.")
-    groupD.add_argument(*anvio.A('title'), **anvio.K('title'))
-
-    groupE = parser.add_argument_group('SWEET PARAMS OF CONVENIENCE', "Parameters and flags that are not quite essential (but nice to have).")
-    groupE.add_argument(*anvio.A('dry-run'), **anvio.K('dry-run'))
-    groupE.add_argument(*anvio.A('skip-auto-ordering'), **anvio.K('skip-auto-ordering'))
-    groupE.add_argument(*anvio.A('skip-news'), **anvio.K('skip-news'))
-
-    groupF = parser.add_argument_group('SERVER CONFIGURATION', "For power users.")
-    groupF.add_argument(*anvio.A('ip-address'), **anvio.K('ip-address'))
-    groupF.add_argument(*anvio.A('port-number'), **anvio.K('port-number'))
-    groupF.add_argument(*anvio.A('browser-path'), **anvio.K('browser-path'))
-    groupF.add_argument(*anvio.A('read-only'), **anvio.K('read-only'))
-    groupF.add_argument(*anvio.A('server-only'), **anvio.K('server-only'))
-    groupF.add_argument(*anvio.A('password-protected'), **anvio.K('password-protected'))
-    groupF.add_argument(*anvio.A('user-server-shutdown'), **anvio.K('user-server-shutdown'))
+    groupF.add_argument(*anvio.A('title'), **anvio.K('title'))
+
+    groupG = parser.add_argument_group('SWEET PARAMS OF CONVENIENCE', "Parameters and flags that are not quite essential (but nice to have).")
+    groupG.add_argument(*anvio.A('dry-run'), **anvio.K('dry-run'))
+    groupG.add_argument(*anvio.A('skip-auto-ordering'), **anvio.K('skip-auto-ordering'))
+    groupG.add_argument(*anvio.A('skip-news'), **anvio.K('skip-news'))
+
+    groupH = parser.add_argument_group('SERVER CONFIGURATION', "For power users.")
+    groupH.add_argument(*anvio.A('ip-address'), **anvio.K('ip-address'))
+    groupH.add_argument(*anvio.A('port-number'), **anvio.K('port-number'))
+    groupH.add_argument(*anvio.A('browser-path'), **anvio.K('browser-path'))
+    groupH.add_argument(*anvio.A('read-only'), **anvio.K('read-only'))
+    groupH.add_argument(*anvio.A('server-only'), **anvio.K('server-only'))
+    groupH.add_argument(*anvio.A('password-protected'), **anvio.K('password-protected'))
+    groupH.add_argument(*anvio.A('user-server-shutdown'), **anvio.K('user-server-shutdown'))
 
     args = parser.get_args(parser)
 
     try:
-        args.mode = 'genomeview'
         d = interactive.GenomeView(args)
 
         args.port_number = utils.get_port_num(args.port_number, args.ip_address, run=run)

From 27b1f09d0074f9a85462ab44df307c82f81ba55c Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sun, 26 Sep 2021 17:55:04 -0500
Subject: [PATCH 0434/1020] GenomeView class works with genome-view-db

---
 anvio/interactive.py | 51 ++++++++++++++++++++++++++++++++++++++++----
 1 file changed, 47 insertions(+), 4 deletions(-)

diff --git a/anvio/interactive.py b/anvio/interactive.py
index 536a6207e2..a77517b8d4 100644
--- a/anvio/interactive.py
+++ b/anvio/interactive.py
@@ -34,7 +34,7 @@
 from anvio.genomedescriptions import AggregateFunctions, AggregateGenomes
 from anvio.errors import ConfigError, RefineError, GenesDBError
 from anvio.clusteringconfuguration import ClusteringConfiguration
-from anvio.dbops import ProfileSuperclass, ContigsSuperclass, PanSuperclass, TablesForStates, ProfileDatabase
+from anvio.dbops import ProfileSuperclass, ContigsSuperclass, PanSuperclass, TablesForStates, ProfileDatabase, GenomeViewDatabase
 
 from anvio.tables.miscdata import (
     TableForItemAdditionalData,
@@ -1826,15 +1826,22 @@ def __init__(self, args, run=run, progress=progress, skip_init=False):
         self.progress = progress
 
         self.args = args
-        self.mode = 'genomeview'
+        self.mode = 'genome-view'
 
         A = lambda x: args.__dict__[x] if x in args.__dict__ else None
-        self.mode = A('mode')
+        self.genome_view_db_path = A('genome_view_db')
         self.tree = A('tree')
         self.title = A('title')
         self.skip_auto_ordering = A('skip_auto_ordering')
         self.skip_news = A('skip_news')
-        self.skip_news = A('dry-run')
+        self.dry_run = A('dry-run')
+
+        if not self.genome_view_db_path:
+            raise ConfigError("It is OK if you don't have a profile database, but you still should provide a "
+                              "profile database path so anvi'o can generate a new one for you. The profile "
+                              "database in this mode only used to read or store the 'state' of the display "
+                              "for visualization purposes, or to allow you to create and store collections. "
+                              "Still very useful.")
 
         # critical items for genome view bottleroutes, which will be filled
         # by `AggregateGenomes` upon initialization:
@@ -1844,6 +1851,42 @@ def __init__(self, args, run=run, progress=progress, skip_init=False):
         if not skip_init:
             AggregateGenomes.__init__(self, self.args, run=self.run, progress=self.progress)
 
+            self.init_genome_view_db()
+
+
+    def init_genome_view_db(self):
+        """Dealings with the genome view database.
+
+        This function will 'create' a genome view database if there is no such database
+        exists at the path provided. If there is one already, it will ensure
+        that it matches to the list of genomes aggregated during init. 
+        """
+
+        if not len(self.genomes):
+            raise ConfigError("Someone asked anvi'o to initialize a genome view databse, but then "
+                              "the class has aggregated zero genomes :( Something is wrong here.")
+
+        if os.path.exists(self.genome_view_db_path):
+            genome_view_db = GenomeViewDatabase(self.genome_view_db_path)
+
+            
+            if not set(genome_view_db.genomes) == set(self.genomes.keys()):
+                raise ConfigError("The list of genomes names stored in your genome view database do not "
+                                  "match to the list of genome names anvi'o recovered from your input "
+                                  "files. If you have updated your input genomes for genome view, you "
+                                  "can remove this database and start over with a fresh one, or you can "
+                                  "simply provide a new genome view database path, so a new one matching "
+                                  "to your current list of genomes can be created.")
+        else:
+            genome_view_db = GenomeViewDatabase(self.genome_view_db_path)
+            genome_names = sorted(self.genomes.keys())
+            genome_view_db.create({'db_type': 'genome-view',
+                                   'db_variant': None,
+                                   'genomes': ','.join(genome_names)})
+
+        # states
+        self.states_table = TablesForStates(self.genome_view_db_path)
+
 
 class StructureInteractive(VariabilitySuper, ContigsSuperclass):
     def __init__(self, args, run=run, progress=progress):

From bc05ae1b08363503566a2643a2b2fefc385a3a0f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 26 Sep 2021 22:43:29 -0500
Subject: [PATCH 0435/1020] fix for alignRulers()

---
 anvio/data/interactive/genomeview.html        |  2 +-
 .../interactive/js/genomeview/navigation.js   | 14 ++---
 anvio/data/interactive/js/genomeview/ui.js    | 52 +++++++++----------
 3 files changed, 34 insertions(+), 34 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 2a52170c23..287ff81f6a 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -189,7 +189,7 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                               <td><input id="genome_scale_interval" class="form-control input-sm" type="text" value="100" size="4"></td>
                             </tr>
                             <tr>
-                              <td><button id="alignRulerBtn" type="button" class="btn btn-primary btn-xs" onclick="alignRulers()" class="btn btn-outline-primary">Align genome rulers</button></td>
+                              <td><button id="alignRulerBtn" type="button" class="btn btn-primary btn-xs" onclick="drawer.alignRulers()" class="btn btn-outline-primary">Align genome rulers</button></td>
                             </tr>
                           </tbody>
                         </table>
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 797f5a3c03..5850319d95 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -19,14 +19,14 @@
  */
 
 /**
- * File Overview : This file contains code related to the functionality of genomeview's scale element and other general navigation items. 
- * Scale is great! Scale is dynamic! Scale is responsive. 
+ * File Overview : This file contains code related to the functionality of genomeview's scale element and other general navigation items.
+ * Scale is great! Scale is dynamic! Scale is responsive.
  */
 
  function zoomIn() {
     let start = parseInt($('#brush_start').val()), end = parseInt($('#brush_end').val());
     let newStart, newEnd;
-  
+
     let len = end - start;
     if(len > 4*genomeMax/50) {
       newStart = Math.floor(start + genomeMax/50), newEnd = Math.floor(end - genomeMax/50);
@@ -36,15 +36,15 @@
       newEnd = Math.floor(end - len/4);
       if(newEnd - newStart <= 0) return;
     }
-  
+
     brush.extent([newStart, newEnd]);
     brush(d3.select(".brush").transition());
     brush.event(d3.select(".brush").transition());
   }
-  
+
   function zoomOut() {
     let start = parseInt($('#brush_start').val()), end = parseInt($('#brush_end').val());
-  
+
     let newStart = start - genomeMax/50, newEnd = end + genomeMax/50;
     if(newStart == 0 && newEnd == genomeMax) { // for extra-zoomed-out view
       scaleFactor = 0.01;
@@ -54,7 +54,7 @@
     }
     if(newStart < 0) newStart = 0;
     if(newEnd > genomeMax) newEnd = genomeMax;
-  
+
     brush.extent([newStart, newEnd]);
     brush(d3.select(".brush").transition());
     brush.event(d3.select(".brush").transition());
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 528c5ca1d9..8a562ec4a0 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -286,19 +286,19 @@ function buildGenomesTable(genomes, order){
     var height = '50';
     var margin = '15';
     let genomeLabel= Object.keys(genome[1]['contigs']['info']);
-    var template = `<tr id=${genomeLabel}> 
-                  <td><img src="images/drag.gif" class="drag-icon" id=${genomeLabel} /></td> 
-                  <td> ${genomeLabel} </td> 
-                  <td>n/a</td> 
-                  <td>n/a</td> 
-                  <td>n/a</td> 
-                  <td><input class="input-height" type="text" size="3" id="height_${genomeLabel}" value="${height}"></input></td> 
-                  <td class="column-margin"><input class="input-margin" type="text" size="3" id="margin_${genomeLabel}" value="${margin}"></input></td> 
-                  <td>n/a</td> 
-                  <td>n/a</td> 
-                  <td><input type="checkbox" class="layer_selectors"></input></td> 
+    var template = `<tr id=${genomeLabel}>
+                  <td><img src="images/drag.gif" class="drag-icon" id=${genomeLabel} /></td>
+                  <td> ${genomeLabel} </td>
+                  <td>n/a</td>
+                  <td>n/a</td>
+                  <td>n/a</td>
+                  <td><input class="input-height" type="text" size="3" id="height_${genomeLabel}" value="${height}"></input></td>
+                  <td class="column-margin"><input class="input-margin" type="text" size="3" id="margin_${genomeLabel}" value="${margin}"></input></td>
+                  <td>n/a</td>
+                  <td>n/a</td>
+                  <td><input type="checkbox" class="layer_selectors"></input></td>
                   </tr>;`
-                  
+
     $('#tbody_genomes').append(template);
   })
 
@@ -310,27 +310,27 @@ function buildGenomesTable(genomes, order){
 }
 
 function buildGroupLayersTable(layerLabel){
-  let color; 
-  
-  if(layerLabel == 'GC_Content') color = settings['additional-data-layers'][0]['gcContent-color'] 
-  if(layerLabel == 'Coverage') color = settings['additional-data-layers'][0]['coverage-color']  
+  let color;
+
+  if(layerLabel == 'GC_Content') color = settings['additional-data-layers'][0]['gcContent-color']
+  if(layerLabel == 'Coverage') color = settings['additional-data-layers'][0]['coverage-color']
 
   if(layerLabel === 'Ruler' || layerLabel === 'Genome'){
-    var template =  `<tr id=${layerLabel}> 
-                    <td><img src="images/drag.gif" class="drag-icon" id=${layerLabel} /></td> 
-                    <td> ${layerLabel} </td> 
-                    <td style="margin-left: 5px;"> n/a </td> 
-                    <td><input type="checkbox" class="additional_selectors" id=${layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td> 
+    var template =  `<tr id=${layerLabel}>
+                    <td><img src="images/drag.gif" class="drag-icon" id=${layerLabel} /></td>
+                    <td> ${layerLabel} </td>
+                    <td style="margin-left: 5px;"> n/a </td>
+                    <td><input type="checkbox" class="additional_selectors" id=${layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>
                     </tr>;`
   } else {
-    var template =  `<tr id=${layerLabel}> 
-                     <td><img src="images/drag.gif" class="drag-icon" id=${layerLabel} /></td> 
+    var template =  `<tr id=${layerLabel}>
+                     <td><img src="images/drag.gif" class="drag-icon" id=${layerLabel} /></td>
                      <td> ${layerLabel} </td>' +
-                     <td><div id="${layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: ${color}" color=${color} background-color=${color} ></div></td> 
-                     <td><input type="checkbox" class="additional_selectors" id=${layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td> 
+                     <td><div id="${layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: ${color}" color=${color} background-color=${color} ></div></td>
+                     <td><input type="checkbox" class="additional_selectors" id=${layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>
                      </tr>;`
   }
-                     
+
   $('#tbody_additionalDataLayers').append(template);
   $("#tbody_additionalDataLayers").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).disableSelection();
 

From e2119cdf97362b0b6372b615eaad0473eacabc08 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 26 Sep 2021 22:56:17 -0500
Subject: [PATCH 0436/1020] check for percent scale when updating render window

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 8a562ec4a0..95668761de 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -47,7 +47,7 @@ function setEventListeners(){
       this.requestRenderAll();
       this.lastPosX = e.clientX;
 
-      let [l, r] = getFracForVPT();
+      let [l, r] = percentScale ? getFracForVPT() : getNTRangeForVPT();
       if (l < renderWindow[0] || r > renderWindow[1]) {
         updateRenderWindow();
         drawer.draw()

From 0fe1d6e26e24fa1246e5617027d4133590c15930 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 27 Sep 2021 14:46:25 +0000
Subject: [PATCH 0437/1020] hook genomeview dependencies into error handling
 framework

---
 anvio/data/interactive/genomeview.html | 34 ++++++++++++++------------
 1 file changed, 18 insertions(+), 16 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 2a52170c23..56e9292e71 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -4,26 +4,28 @@
         <title id="window-title">Genome View</title>
         <meta name="google" value="notranslate">
         <meta charset="UTF-8" />
-        <link rel="stylesheet" href="lib/bootstrap/dist/css/bootstrap.min.css" />
+        <script type="text/javascript" src="js/error.js"></script>
+
+        <link rel="stylesheet" href="lib/bootstrap/dist/css/bootstrap.min.css" onerror='alertDependencyError("bootstrap`")' />
+        <link rel="stylesheet" href="lib/colpick/colpick.css" type="text/css" onerror='alertDependencyError("colpick-css")'/>
         <link rel="stylesheet" type="text/css" href="./css/genomeview.css" />
         <!-- main css file imported for color picker functionality -->
         <link rel="stylesheet" type="text/css" href="./css/main.css" />
-        <link rel="stylesheet" href="lib/colpick/colpick.css" type="text/css" />
 
         <link rel="shortcut icon" href="#">
-        <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
-        <script type="text/javascript" src="lib/d3.js/d3.min.js"></script>
-        <script type="text/javascript" src="lib/jquery-svgpan/jquery-svgpan.js"></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/core.js"></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/widget.js"></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/mouse.js"></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/sortable.js"></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/draggable.js"></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/accordion.js"></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/resizable.js"></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/button.js"></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/position.js"></script>
-        <script type="text/javascript" src="lib/colpick/colpick.js"></script>
+        <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js" onerror='alertDependencyError("jquery-core")'></script>
+        <script type="text/javascript" src="lib/d3.js/d3.min.js" onerror='alertDependencyError("d3")'></script>
+        <script type="text/javascript" src="lib/jquery-svgpan/jquery-svgpan.js" onerror='alertDependencyError("jquery-svg")'></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/core.js" onerror='alertDependencyError("jquery-core")'></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/widget.js" onerror='alertDependencyError("jquery-widget")'></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/mouse.js" onerror='alertDependencyError("jquery-mouse")'></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/sortable.js" onerror='alertDependencyError("jquery-sortable")'></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/draggable.js" onerror='alertDependencyError("jquery-draggable")'></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/accordion.js" onerror='alertDependencyError("jquery-accordian")'></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/resizable.js" onerror='alertDependencyError("jquery-resizable")'></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/button.js" onerror='alertDependencyError("jquery-button")'></script>
+        <script type="text/javascript" src="lib/jquery-ui/ui/position.js" onerror='alertDependencyError("jquery-position")'></script>
+        <script type="text/javascript" src="lib/colpick/colpick.js" onerror='alertDependencyError("colpick")'></script>
         <script type="text/javascript" src="./js/constants.js"></script>
         <script type="text/javascript" src="./js/utils.js"></script>
         <script type="text/javascript" src="./js/genomeview/main.js"></script>
@@ -33,7 +35,7 @@
         <script type="text/javascript" src="./js/genomeview/ui.js"></script>
         <script type="text/javascript" src="./js/genomeview/utils.js"></script>
 
-        <script src="./lib/fabric/dist/fabric.js"></script>
+        <script src="./lib/fabric/dist/fabric.js" onerror='alertDependencyError("fabric")'></script>
     </head>
     <body>
         <div class="container">

From 4b40a301f8c1f2e5d18d8be21cb888684ddbf433 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 27 Sep 2021 14:53:54 +0000
Subject: [PATCH 0438/1020] guess who started using a trailing white spaces
 plugin ;)

---
 anvio/data/interactive/js/error.js | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/error.js b/anvio/data/interactive/js/error.js
index daf16aab36..4873d0a14d 100644
--- a/anvio/data/interactive/js/error.js
+++ b/anvio/data/interactive/js/error.js
@@ -15,13 +15,13 @@ let ERROR_COUNT = 0
 
 const issueCategories = [
     {
-        'category' : 'Dependencies failed to load', 
+        'category' : 'Dependencies failed to load',
         'content' : `This can occur when git submodules that Anvi'o relies on fail to load. If you are tracking the main development branch of Anvi'o,
         try running <b> git submodule update --init </b>`
     },
     {
-        'category' : 'ReferenceError - ___ is not defined', 
-        'content' : `This can occur when Anvi'o wants to utilize some variable which it cannot resolve. Until we get some better troubleshooting advice here, 
+        'category' : 'ReferenceError - ___ is not defined',
+        'content' : `This can occur when Anvi'o wants to utilize some variable which it cannot resolve. Until we get some better troubleshooting advice here,
         try running your interactive session with the <b>--debug</b> flag`
     },
 ]
@@ -30,13 +30,13 @@ function alertDependencyError(dependencyError, isFinalDependency){
     if(dependencyError){
         ERROR_COUNT += 1
     }
-    if(isFinalDependency && ERROR_COUNT){ // hacky way of 'iterating' all dependency calls before error messaging  
+    if(isFinalDependency && ERROR_COUNT){ // hacky way of 'iterating' all dependency calls before error messaging
         displayAlert('dependencies')
     }
 }
 
 function displayAlert(error){
-    let reason; 
+    let reason;
 
     if(error == 'dependencies'){
         reason = 'loading dependencies'
@@ -50,7 +50,7 @@ function displayAlert(error){
 
 function errorLandingContext(){ // onload function called by error-landing.html, generate help 'docs' from object above
     issueCategories.map((issue, idx) => {
-        document.querySelector('#content-div').innerHTML += 
+        document.querySelector('#content-div').innerHTML +=
         `
             <h1 class='dropdown-category closed'>${issue.category} <span class='icon'>∆</span></h1>
             <div class='dropdown-content'>

From fb41885c8492d99cfe445bc835b14815cbc1e0fd Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 27 Sep 2021 15:21:11 +0000
Subject: [PATCH 0439/1020] add 'isFinalDependency' boolean to last-loaded
 submodule

---
 anvio/data/interactive/genomeview.html | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 56e9292e71..1342bf286e 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -4,16 +4,18 @@
         <title id="window-title">Genome View</title>
         <meta name="google" value="notranslate">
         <meta charset="UTF-8" />
-        <script type="text/javascript" src="js/error.js"></script>
 
         <link rel="stylesheet" href="lib/bootstrap/dist/css/bootstrap.min.css" onerror='alertDependencyError("bootstrap`")' />
         <link rel="stylesheet" href="lib/colpick/colpick.css" type="text/css" onerror='alertDependencyError("colpick-css")'/>
         <link rel="stylesheet" type="text/css" href="./css/genomeview.css" />
         <!-- main css file imported for color picker functionality -->
         <link rel="stylesheet" type="text/css" href="./css/main.css" />
-
         <link rel="shortcut icon" href="#">
-        <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js" onerror='alertDependencyError("jquery-core")'></script>
+
+        <script type="text/javascript" src="js/error.js"></script>
+
+        <script type="text/javascript" src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js" onerror='alertDependencyError("jquery-core")'></script>
+        <script type="text/javascript" src="./lib/fabric/dist/fabric.js" onerror='alertDependencyError("fabric")'></script>
         <script type="text/javascript" src="lib/d3.js/d3.min.js" onerror='alertDependencyError("d3")'></script>
         <script type="text/javascript" src="lib/jquery-svgpan/jquery-svgpan.js" onerror='alertDependencyError("jquery-svg")'></script>
         <script type="text/javascript" src="lib/jquery-ui/ui/core.js" onerror='alertDependencyError("jquery-core")'></script>
@@ -25,7 +27,8 @@
         <script type="text/javascript" src="lib/jquery-ui/ui/resizable.js" onerror='alertDependencyError("jquery-resizable")'></script>
         <script type="text/javascript" src="lib/jquery-ui/ui/button.js" onerror='alertDependencyError("jquery-button")'></script>
         <script type="text/javascript" src="lib/jquery-ui/ui/position.js" onerror='alertDependencyError("jquery-position")'></script>
-        <script type="text/javascript" src="lib/colpick/colpick.js" onerror='alertDependencyError("colpick")'></script>
+        <script type="text/javascript" src="lib/colpick/colpick.js" onerror='alertDependencyError("colpick", true)' onload='alertDependencyError(null, true)'></script>
+
         <script type="text/javascript" src="./js/constants.js"></script>
         <script type="text/javascript" src="./js/utils.js"></script>
         <script type="text/javascript" src="./js/genomeview/main.js"></script>
@@ -35,7 +38,6 @@
         <script type="text/javascript" src="./js/genomeview/ui.js"></script>
         <script type="text/javascript" src="./js/genomeview/utils.js"></script>
 
-        <script src="./lib/fabric/dist/fabric.js" onerror='alertDependencyError("fabric")'></script>
     </head>
     <body>
         <div class="container">

From 962765f4cdf9e3ec7587882c3a2ed3764ff4b795 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 27 Sep 2021 18:25:05 +0000
Subject: [PATCH 0440/1020] no trailing whitespace

---
 anvio/data/interactive/js/genomeview/main.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index b2165815a8..649973b7ef 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -139,8 +139,8 @@ function serializeSettings() {
     let color = $(row).attr('color')
     let id = ($(row).attr('id').split('_')[1])
     state['annotation-color-dict'].push({
-      id : id, 
-      color : color 
+      id : id,
+      color : color
     })
   })
 }

From 9350ed2a87b383441286e3e6e9e380784e406bd5 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 27 Sep 2021 19:53:00 +0000
Subject: [PATCH 0441/1020] new bottle route/callback for genomeview ADL

---
 anvio/bottleroutes.py | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/anvio/bottleroutes.py b/anvio/bottleroutes.py
index 3e6e05b0da..0e2265bfcd 100644
--- a/anvio/bottleroutes.py
+++ b/anvio/bottleroutes.py
@@ -182,6 +182,7 @@ def register_routes(self):
         self.route('/data/save_tree',                          callback=self.save_tree, method='POST')
         self.route('/data/check_homogeneity_info',             callback=self.check_homogeneity_info, method='POST')
         self.route('/data/get_genome_view_data',               callback=self.get_genome_view_data, method='POST')
+        self.route('/data/get_genome_view_adl',                callback=self.get_genome_view_ADL, method='POST')
         self.route('/data/search_items',                       callback=self.search_items_by_name, method='POST')
         self.route('/data/get_taxonomy',                       callback=self.get_taxonomy, method='POST')
         self.route('/data/get_functions_for_gene_clusters',    callback=self.get_functions_for_gene_clusters, method='POST')
@@ -1356,6 +1357,12 @@ def get_genome_view_data(self):
         except Exception as e:
             return json.dumps({'error': f"Something went wrong at the backend :( Here is the error message: '{e}'"})
 
+    def get_genome_view_ADL(self):
+        try:
+            adl = json.loads(request.forms.get('adl'))
+            return json.dumps({'adl post req response' : adl})
+        except Exception as e:
+            return json.dumps({'error': f"Something went wrong at the backend :( Here is the error message: '{e}'"})
 
     def get_column_info(self):
         gene_callers_id = int(request.forms.get('gene_callers_id'))
@@ -1477,7 +1484,7 @@ def get_functions_for_gene_clusters(self):
                 message = (f"At least one of the gene clusters in your list (e.g., {gene_cluster_name}) is missing in "
                            f"the functions summary dict :/")
                 return json.dumps({'status': 1, 'message': message})
-                
+
             d[gene_cluster_name] = self.interactive.gene_clusters_functions_summary_dict[gene_cluster_name]
 
         return json.dumps({'functions': d, 'sources': list(self.interactive.gene_clusters_function_sources)})

From d08f9f082126aa46a7e83f9e4e1dfc6d536eccba Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 27 Sep 2021 19:53:15 +0000
Subject: [PATCH 0442/1020] send mock ADL data to new backend route

---
 anvio/data/interactive/js/genomeview/test.js | 17 ++++++++++++++---
 1 file changed, 14 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/test.js b/anvio/data/interactive/js/genomeview/test.js
index eb78fbc64d..7eb9ef3161 100644
--- a/anvio/data/interactive/js/genomeview/test.js
+++ b/anvio/data/interactive/js/genomeview/test.js
@@ -19,8 +19,8 @@
  */
 
 /**
- * File Overview : This file contains temporary functions and processes used to test various functionality within 
- * genomeview. They are gathered here so as not to pollute the other genomeview files. 
+ * File Overview : This file contains temporary functions and processes used to test various functionality within
+ * genomeview. They are gathered here so as not to pollute the other genomeview files.
  */
 
 function drawTestShades() {
@@ -45,7 +45,18 @@ function generateMockADL() {
       'ruler': true // TODO: store any genome-specific scale data here
     }
     settings['additional-data-layers'].push(additionalDataObject)
+
   }
+  $.ajax({
+    type: 'POST',
+    cache: false,
+    url: '/data/get_genome_view_adl',
+    async: false,
+    data: {'adl' : JSON.stringify(settings['additional-data-layers'])},
+    success: function (resp) {
+      console.log(resp)
+    }
+  });
 }
 function generateMockGenomeOrder() {
   settings['genome-order-method'] = [{
@@ -61,7 +72,7 @@ function generateMockGenomeOrder() {
 }
 
 function generateMockBookmarks(){
-  let bookmarks = [ 
+  let bookmarks = [
     {
       name: 'entire seq',
       start: '0',

From a5e4a879462b537ebb62a5e974a496270c93f69b Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Mon, 27 Sep 2021 21:28:35 -0500
Subject: [PATCH 0443/1020] make sure the test works

---
 anvio/tests/run_genome_view.sh | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/tests/run_genome_view.sh b/anvio/tests/run_genome_view.sh
index 0b0d00e328..8bd4175a87 100755
--- a/anvio/tests/run_genome_view.sh
+++ b/anvio/tests/run_genome_view.sh
@@ -15,4 +15,5 @@ anvi-script-gen-genomes-file --input-dir $output_dir \
                              -o $output_dir/external-genomes.txt
 
 INFO "Running genome view"
-anvi-display-genomes -e $output_dir/external-genomes.txt
+anvi-display-genomes -e $output_dir/external-genomes.txt \
+                     -E genome-view.db

From 21b0c763a5a3c3a4f5bd5af14f612ba8f2c241aa Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Mon, 27 Sep 2021 21:28:55 -0500
Subject: [PATCH 0444/1020] sliding window GC-content calculator

---
 anvio/utils.py | 30 ++++++++++++++++++++++++++++++
 1 file changed, 30 insertions(+)

diff --git a/anvio/utils.py b/anvio/utils.py
index 495a18e59f..464a7a2aa8 100644
--- a/anvio/utils.py
+++ b/anvio/utils.py
@@ -1598,6 +1598,36 @@ def get_GC_content_for_sequence(sequence):
     return Composition(sequence).GC_content
 
 
+def get_GC_content_for_sequence_as_an_array(sequence, sliding_window_length=100, interval=5):
+    """Unlike `get_GC_content_for_sequence`, this function returns an array for each nt position"""
+
+    if len(sequence) < sliding_window_length:
+        raise ConfigError("The sequence you are try to compute GC content for is shorter than the "
+                          "sliding window length set for this calculation. This is not OK.")
+
+    if interval < 1 or interval > sliding_window_length:
+        raise ConfigError("Your interval can't be smaller than 1 or longer than the sliding window "
+                          "length.")
+
+    sequence = sequence.upper()
+
+    gc_array = []
+    for i in range(0, len(sequence) - sliding_window_length, interval):
+        window = sequence[i:i+sliding_window_length]
+
+        gc = sum(window.count(x) for x in ["G", "C"])
+        at = sum(window.count(x) for x in ["A", "T"])
+
+        try:
+            gc_content = gc / (gc + at)
+        except ZeroDivisionError:
+            gc_content = 0.0
+
+        gc_array.extend([gc_content] * interval)
+
+    return gc_array
+
+
 def get_synonymous_and_non_synonymous_potential(list_of_codons_in_gene, just_do_it=False):
     """
     When calculating pN/pS or dN/dS, the number of variants classified as synonymous or non

From ff9497e442ab4aaf64aac2243bcfa947f59c5b92 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Mon, 27 Sep 2021 21:29:39 -0500
Subject: [PATCH 0445/1020] populating continuous data for genome view class

---
 anvio/genomedescriptions.py | 51 +++++++++++++++++++++++++++++++++++--
 1 file changed, 49 insertions(+), 2 deletions(-)

diff --git a/anvio/genomedescriptions.py b/anvio/genomedescriptions.py
index 3f51a54c15..bc66cad2ac 100644
--- a/anvio/genomedescriptions.py
+++ b/anvio/genomedescriptions.py
@@ -840,6 +840,9 @@ def __init__(self, args, run=run, progress=progress, skip_init=False):
         self.genomes = {}
         self.gene_associations = {}
 
+        # things to fill in optionally
+        self.continuous_data_layers = {'layers': set([]), 'data': {}}
+
         # let's have this ready for convenience:
         self.genome_names = list(self.genome_descriptions.genomes.keys())
 
@@ -847,7 +850,7 @@ def __init__(self, args, run=run, progress=progress, skip_init=False):
             self.init()
 
 
-    def init(self):
+    def init(self, populate_continuous_data=True):
         """Learn everything about genomes of interest.
 
         Calling this funciton will populate multiple critical dictionaries this class
@@ -870,7 +873,10 @@ def init(self):
             # learn all about contigs:
             self.genomes[genome_name]['contigs'] = self.get_contigs_dict(genome_name)
 
-            self.initialized = True
+        self.initialized = True
+
+        if populate_continuous_data:
+            self.populate_genome_continuous_data_layers()
 
 
     def get_gene_associations(self):
@@ -925,6 +931,47 @@ def get_genes_dict(self, genome_name):
         return d
 
 
+    def populate_continuous_GC_content_data(self):
+        """Add sliding window GC-content change per contig"""
+
+        if not self.initialized:
+            raise ConfigError("You can't populate continuous data layers unless the class is properly initialized.")
+
+        self.continuous_data_layers['layers'].add('GC_content')
+
+        self.progress.new('Populating continuous data', progress_total_items=len(self.genomes))
+        for genome_name in self.genomes:
+            self.progress.update(f"GC-content for {genome_name}", increment=True)
+
+            if genome_name not in self.continuous_data_layers['data']:
+                self.continuous_data_layers['data'][genome_name] = {}
+
+            self.continuous_data_layers['data'][genome_name]['GC_content'] = {}
+
+            for contig_name in self.genomes[genome_name]['contigs']['info']:
+                contig_sequence = self.genomes[genome_name]['contigs']['dna'][contig_name]['sequence']
+                self.continuous_data_layers['data'][genome_name]['GC_content'][contig_name] = utils.get_GC_content_for_sequence_as_an_array(contig_sequence)
+
+        self.progress.end()
+
+
+    def populate_genome_continuous_data_layers(self, skip_GC_content=False):
+        """Function to populate continuous data layers."""
+
+        if not self.initialized:
+            raise ConfigError("You can't populate continuous data layers unless the class is properly initialized.")
+
+        # reset in case it was previously populated
+        self.continuous_data_layers = {'layers': set([]), 'data': {}}
+
+        for genome_name in self.genomes:
+            self.continuous_data_layers['data'][genome_name] = {}
+
+        # add GC-content
+        if not skip_GC_content:
+            self.populate_continuous_GC_content_data()
+
+
     def get_contigs_dict(self, genome_name):
         """Learn everything about contigs associated with a genome"""
 

From 9344c3a732b162e2a56bee1723013a72431ac9e3 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Mon, 27 Sep 2021 21:38:43 -0500
Subject: [PATCH 0446/1020] docstring for @matthewlawrenceklein

---
 anvio/genomedescriptions.py | 57 ++++++++++++++++++++++++++++++++++++-
 1 file changed, 56 insertions(+), 1 deletion(-)

diff --git a/anvio/genomedescriptions.py b/anvio/genomedescriptions.py
index bc66cad2ac..70455740c1 100644
--- a/anvio/genomedescriptions.py
+++ b/anvio/genomedescriptions.py
@@ -956,7 +956,62 @@ def populate_continuous_GC_content_data(self):
 
 
     def populate_genome_continuous_data_layers(self, skip_GC_content=False):
-        """Function to populate continuous data layers."""
+        """Function to populate continuous data layers.
+
+        Calling this function will poupulate the `self.continuous_data_layers` data structure, which will
+        look something like this:
+
+            >>> {
+            >>>   "layers": [
+            >>>     "GC_content",
+            >>>     "Another_layer"
+            >>>   ],
+            >>>   "data": {
+            >>>     "GENOME_01": {
+            >>>       "GC_content": {
+            >>>         "CONTIG_A": [(...)],
+            >>>         "CONTIG_B": [(...)],
+            >>>          (...)
+            >>>       },
+            >>>       "Another_layer": {
+            >>>         "CONTIG_A": [(...)],
+            >>>         "CONTIG_B": [(...)],
+            >>>          (...)
+            >>>       }
+            >>>     },
+            >>>     "GENOME_02": {
+            >>>       "GC_content": {
+            >>>         "CONTIG_C": [(...)],
+            >>>         "CONTIG_D": [(...)],
+            >>>          (...)
+            >>>       },
+            >>>       "Another_layer": {
+            >>>         "CONTIG_C": [(...)],
+            >>>         "CONTIG_D": [(...)],
+            >>>          (...)
+            >>>       }
+            >>>     },
+            >>>     "GENOME_03": {
+            >>>       "GC_content": {
+            >>>         "CONTIG_E": [(...)],
+            >>>         "CONTIG_F": [(...)],
+            >>>          (...)
+            >>>       },
+            >>>       "Another_layer": {
+            >>>         "CONTIG_E": [(...)],
+            >>>         "CONTIG_F": [(...)],
+            >>>          (...)
+            >>>       }
+            >>>     }
+            >>>   }
+            >>> }
+
+
+        Please note: The number of data points in continuous data layers for a given contig will always
+        be equal or less than the number of nucleotides in the same contig. When displaying htese data,
+        one should always assume that the first data point matches to teh first nucleotide position, and
+        cut the information in the layer short when necessary.
+        """
 
         if not self.initialized:
             raise ConfigError("You can't populate continuous data layers unless the class is properly initialized.")

From 9aabc20c654345f8af80ac202a9f969ad98e45d3 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Mon, 27 Sep 2021 21:41:23 -0500
Subject: [PATCH 0447/1020] update the bottleroute function

---
 anvio/bottleroutes.py | 12 ++++++++----
 1 file changed, 8 insertions(+), 4 deletions(-)

diff --git a/anvio/bottleroutes.py b/anvio/bottleroutes.py
index 0e2265bfcd..778c42f27f 100644
--- a/anvio/bottleroutes.py
+++ b/anvio/bottleroutes.py
@@ -182,7 +182,7 @@ def register_routes(self):
         self.route('/data/save_tree',                          callback=self.save_tree, method='POST')
         self.route('/data/check_homogeneity_info',             callback=self.check_homogeneity_info, method='POST')
         self.route('/data/get_genome_view_data',               callback=self.get_genome_view_data, method='POST')
-        self.route('/data/get_genome_view_adl',                callback=self.get_genome_view_ADL, method='POST')
+        self.route('/data/get_genome_view_adl',                callback=self.get_genome_view_continuous_data_layers, method='POST')
         self.route('/data/search_items',                       callback=self.search_items_by_name, method='POST')
         self.route('/data/get_taxonomy',                       callback=self.get_taxonomy, method='POST')
         self.route('/data/get_functions_for_gene_clusters',    callback=self.get_functions_for_gene_clusters, method='POST')
@@ -1357,13 +1357,17 @@ def get_genome_view_data(self):
         except Exception as e:
             return json.dumps({'error': f"Something went wrong at the backend :( Here is the error message: '{e}'"})
 
-    def get_genome_view_ADL(self):
+
+    def get_genome_view_continuous_data_layers(self):
+        """populate continuous data layers, and send them back to the frontend"""
+
         try:
-            adl = json.loads(request.forms.get('adl'))
-            return json.dumps({'adl post req response' : adl})
+            self.interactive.populate_genome_continuous_data_layers()
+            return json.dumps(self.interactive.continuous_data_layers)
         except Exception as e:
             return json.dumps({'error': f"Something went wrong at the backend :( Here is the error message: '{e}'"})
 
+
     def get_column_info(self):
         gene_callers_id = int(request.forms.get('gene_callers_id'))
         engine = request.forms.get('engine')

From 6d47be3bdbcd399d451db2a8d4dbc7965271e3bb Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 28 Sep 2021 15:30:09 +0000
Subject: [PATCH 0448/1020] pass new data layer structure to ADL backend route

---
 anvio/data/interactive/js/genomeview/test.js | 25 +++++++++++++++++++-
 1 file changed, 24 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/test.js b/anvio/data/interactive/js/genomeview/test.js
index 7eb9ef3161..2ebaebadea 100644
--- a/anvio/data/interactive/js/genomeview/test.js
+++ b/anvio/data/interactive/js/genomeview/test.js
@@ -28,13 +28,36 @@ function drawTestShades() {
 }
 
 function generateMockADL() {
+  let dataLayerObj = {}
+  dataLayerObj['layers'] = ['Coverage', 'GC_content']
+  dataLayerObj['data'] = {}
+
   for (let i = 0; i < settings['genomeData']['genomes'].length; i++) { // generate mock additional data layer content
+    let genome = settings['genomeData']['genomes'][i][0]
+    dataLayerObj['data'][genome] = {}
+    dataLayerObj['data'][genome]['Coverage'] = {}
+    dataLayerObj['data'][genome]['GC_content'] = {}
+
+    Object.entries(settings['genomeData']['genomes'][i][1]['contigs']['info']).forEach(contig => {
+      let contigName = contig[0]
+      let contigLength = contig[1]['length']
+      let gcContent = []
+      let coverage = []
+      for (let j = 0; j < contigLength; j++) {
+        gcContent.push(Math.floor(Math.random() * 45))
+        coverage.push(Math.floor(Math.random() * 45))
+      }
+      dataLayerObj['data'][genome]['GC_content'][contigName] = gcContent
+      dataLayerObj['data'][genome]['Coverage'][contigName] = coverage
+    })
+
     let gcContent = []
     let coverage = []
     for (let j = 0; j < genomeMax; j++) {
       gcContent.push(Math.floor(Math.random() * 45))
       coverage.push(Math.floor(Math.random() * 45))
     }
+
     let genomeLabel = Object.keys(settings['genomeData']['genomes'][i][1]['contigs']['info'])[0];
     let additionalDataObject = {
       'genome': genomeLabel,
@@ -52,7 +75,7 @@ function generateMockADL() {
     cache: false,
     url: '/data/get_genome_view_adl',
     async: false,
-    data: {'adl' : JSON.stringify(settings['additional-data-layers'])},
+    data: {'adl' : JSON.stringify(dataLayerObj)},
     success: function (resp) {
       console.log(resp)
     }

From c391ecb8ac69cab3c6761f63fac18d1cd6619a06 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 28 Sep 2021 18:58:37 +0000
Subject: [PATCH 0449/1020] get additional data layer data on init

---
 anvio/data/interactive/js/genomeview/main.js | 13 +++++++++++++
 1 file changed, 13 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 649973b7ef..4599a4ed00 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -63,6 +63,7 @@ var genomeData;
 
 $(document).ready(function () {
   initData();
+  loadAdditionalDataLayers()
   loadState();
   loadAll();
 });
@@ -86,6 +87,18 @@ function initData() {
   });
 }
 
+function loadAdditionalDataLayers(){
+  $.ajax({
+    type: 'POST',
+    cache: false,
+    url: '/data/get_genome_view_adl',
+    async: false,
+    success: function (resp) {
+      console.log('resp', resp)
+    }
+  });
+}
+
 function loadState() {
   // $.ajax({
   //   type: 'GET',

From 36fbeb25303ccd356c26b722ff2002f8b020e990 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Tue, 28 Sep 2021 13:59:49 -0500
Subject: [PATCH 0450/1020] work with a list rather than a set.

---
 anvio/genomedescriptions.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/anvio/genomedescriptions.py b/anvio/genomedescriptions.py
index 70455740c1..55e372496d 100644
--- a/anvio/genomedescriptions.py
+++ b/anvio/genomedescriptions.py
@@ -841,7 +841,7 @@ def __init__(self, args, run=run, progress=progress, skip_init=False):
         self.gene_associations = {}
 
         # things to fill in optionally
-        self.continuous_data_layers = {'layers': set([]), 'data': {}}
+        self.continuous_data_layers = {'layers': [], 'data': {}}
 
         # let's have this ready for convenience:
         self.genome_names = list(self.genome_descriptions.genomes.keys())
@@ -937,7 +937,8 @@ def populate_continuous_GC_content_data(self):
         if not self.initialized:
             raise ConfigError("You can't populate continuous data layers unless the class is properly initialized.")
 
-        self.continuous_data_layers['layers'].add('GC_content')
+        if 'GC_content' not in self.continuous_data_layers['layers']:
+            self.continuous_data_layers['layers'].append('GC_content')
 
         self.progress.new('Populating continuous data', progress_total_items=len(self.genomes))
         for genome_name in self.genomes:
@@ -1017,7 +1018,7 @@ def populate_genome_continuous_data_layers(self, skip_GC_content=False):
             raise ConfigError("You can't populate continuous data layers unless the class is properly initialized.")
 
         # reset in case it was previously populated
-        self.continuous_data_layers = {'layers': set([]), 'data': {}}
+        self.continuous_data_layers = {'layers': [], 'data': {}}
 
         for genome_name in self.genomes:
             self.continuous_data_layers['data'][genome_name] = {}

From 16a4dcd60b2aad7f857fb03f69dba6d6b2254601 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 28 Sep 2021 19:48:39 +0000
Subject: [PATCH 0451/1020] deprecated

---
 anvio/data/interactive/js/genomeview/test.js | 33 --------------------
 1 file changed, 33 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/test.js b/anvio/data/interactive/js/genomeview/test.js
index 2ebaebadea..5d75dc09d9 100644
--- a/anvio/data/interactive/js/genomeview/test.js
+++ b/anvio/data/interactive/js/genomeview/test.js
@@ -28,29 +28,7 @@ function drawTestShades() {
 }
 
 function generateMockADL() {
-  let dataLayerObj = {}
-  dataLayerObj['layers'] = ['Coverage', 'GC_content']
-  dataLayerObj['data'] = {}
-
   for (let i = 0; i < settings['genomeData']['genomes'].length; i++) { // generate mock additional data layer content
-    let genome = settings['genomeData']['genomes'][i][0]
-    dataLayerObj['data'][genome] = {}
-    dataLayerObj['data'][genome]['Coverage'] = {}
-    dataLayerObj['data'][genome]['GC_content'] = {}
-
-    Object.entries(settings['genomeData']['genomes'][i][1]['contigs']['info']).forEach(contig => {
-      let contigName = contig[0]
-      let contigLength = contig[1]['length']
-      let gcContent = []
-      let coverage = []
-      for (let j = 0; j < contigLength; j++) {
-        gcContent.push(Math.floor(Math.random() * 45))
-        coverage.push(Math.floor(Math.random() * 45))
-      }
-      dataLayerObj['data'][genome]['GC_content'][contigName] = gcContent
-      dataLayerObj['data'][genome]['Coverage'][contigName] = coverage
-    })
-
     let gcContent = []
     let coverage = []
     for (let j = 0; j < genomeMax; j++) {
@@ -68,18 +46,7 @@ function generateMockADL() {
       'ruler': true // TODO: store any genome-specific scale data here
     }
     settings['additional-data-layers'].push(additionalDataObject)
-
   }
-  $.ajax({
-    type: 'POST',
-    cache: false,
-    url: '/data/get_genome_view_adl',
-    async: false,
-    data: {'adl' : JSON.stringify(dataLayerObj)},
-    success: function (resp) {
-      console.log(resp)
-    }
-  });
 }
 function generateMockGenomeOrder() {
   settings['genome-order-method'] = [{

From 98bdd4a9e0c32a3d3c20a165241d3580c5fa94e9 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 28 Sep 2021 21:05:25 +0000
Subject: [PATCH 0452/1020] deprecated color dict, TODO update w state

---
 anvio/data/interactive/js/genomeview/ui.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 95668761de..c115becd4e 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -312,8 +312,8 @@ function buildGenomesTable(genomes, order){
 function buildGroupLayersTable(layerLabel){
   let color;
 
-  if(layerLabel == 'GC_Content') color = settings['additional-data-layers'][0]['gcContent-color']
-  if(layerLabel == 'Coverage') color = settings['additional-data-layers'][0]['coverage-color']
+  if(layerLabel == 'GC_Content') color = '#9B9B9B' // TODO: replace hardcoded values w state data
+  if(layerLabel == 'Coverage') color = '#3D3D3D'
 
   if(layerLabel === 'Ruler' || layerLabel === 'Genome'){
     var template =  `<tr id=${layerLabel}>

From c67cc8cc507b719ff21800212fec40b10e339247 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 28 Sep 2021 21:06:11 +0000
Subject: [PATCH 0453/1020] rename mock ADL dict so it doesn't interfere with
 actual backend data

---
 anvio/data/interactive/js/genomeview/test.js | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/test.js b/anvio/data/interactive/js/genomeview/test.js
index 5d75dc09d9..54dc667b38 100644
--- a/anvio/data/interactive/js/genomeview/test.js
+++ b/anvio/data/interactive/js/genomeview/test.js
@@ -28,6 +28,8 @@ function drawTestShades() {
 }
 
 function generateMockADL() {
+  settings['mock-additional-data-layers'] = []
+
   for (let i = 0; i < settings['genomeData']['genomes'].length; i++) { // generate mock additional data layer content
     let gcContent = []
     let coverage = []
@@ -45,7 +47,7 @@ function generateMockADL() {
       'gcContent-color': '#9b07e0',
       'ruler': true // TODO: store any genome-specific scale data here
     }
-    settings['additional-data-layers'].push(additionalDataObject)
+    settings['mock-additional-data-layers'].push(additionalDataObject)
   }
 }
 function generateMockGenomeOrder() {

From 76907fb3a6191af1adb030fa255860f8694d17bb Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 28 Sep 2021 21:06:46 +0000
Subject: [PATCH 0454/1020] add returned ADL data to settings

---
 anvio/data/interactive/js/genomeview/main.js | 13 ++++---------
 1 file changed, 4 insertions(+), 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 4599a4ed00..0f05194c74 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -94,7 +94,8 @@ function loadAdditionalDataLayers(){
     url: '/data/get_genome_view_adl',
     async: false,
     success: function (resp) {
-      console.log('resp', resp)
+      settings['additional-data-layers'] = resp
+      settings['additional-data-layers']['layers'].push('ruler') // add ruler by default
     }
   });
 }
@@ -168,20 +169,14 @@ function processState(stateName, stateData) {
 
   if (stateData.hasOwnProperty('additional-data-layers')) {
     settings['additional-data-layers'] = stateData['additional-data-layers']
-  } else {
-    settings['additional-data-layers'] = []
-    generateMockADL()
   }
 
-  // working under the assumption that all genome groups with contain the same additional data layers,
-  // we can query the first genome group for specific ADL and go from there
-
-  if (settings['additional-data-layers'] && settings['additional-data-layers'][0]['coverage']) {
+  if (settings['additional-data-layers'] && settings['additional-data-layers']['layers'].includes('Coverage')) {
     settings['group-layer-order'].unshift('Coverage')
     maxGroupSize += 1 // increase group size if coverage layer exists
   }
 
-  if (settings['additional-data-layers'] && settings['additional-data-layers'][0]['gcContent']) {
+  if (settings['additional-data-layers'] && settings['additional-data-layers']['layers'].includes('GC_content')) {
     settings['group-layer-order'].unshift('GC_Content')
     maxGroupSize += 1 // increase group size if GC layer exists
   }

From 21e7747546849a6e16e3b428b42296a8ffb26b29 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 28 Sep 2021 21:07:59 +0000
Subject: [PATCH 0455/1020] refactor to render REAL gc_content data to canvas
 :)

---
 .../data/interactive/js/genomeview/drawer.js  | 31 ++++++++++++-------
 1 file changed, 19 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 3d7de3640b..81fddba562 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -52,7 +52,8 @@ GenomeDrawer.prototype.addLayers = function(orderIndex){
   let genome = this.settings['genomeData']['genomes'][orderIndex][1];
   let label = genome.genes.gene_calls[0].contig;
 
-  let additionalDataLayers = this.settings['additional-data-layers'].find(group => group.genome == label)
+  let additionalDataLayers = this.settings['additional-data-layers']['data'][genomeID]
+
   let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
 
   this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
@@ -60,15 +61,15 @@ GenomeDrawer.prototype.addLayers = function(orderIndex){
       this.addGenome(orderIndex, dataLayerHeight, layerPos)
       layerPos += dataLayerHeight
     }
-    if(layer == 'Coverage' && additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
-      this.buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', dataLayerHeight, orderIndex)
+    if(layer == 'Coverage' && this.settings['additional-data-layers']['layers'].includes('Coverage') && $('#Coverage-show').is(':checked')){
+      this.buildNumericalDataLayer('Coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', dataLayerHeight, orderIndex)
       layerPos += dataLayerHeight
     }
-    if(layer == 'GC_Content' && additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
-      this.buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', dataLayerHeight, orderIndex)
+    if(layer == 'GC_Content' && this.settings['additional-data-layers']['layers'].includes('GC_content') && $('#GC_Content-show').is(':checked')){
+      this.buildNumericalDataLayer('GC_content', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', dataLayerHeight, orderIndex)
       layerPos += dataLayerHeight
     }
-    if(layer == 'Ruler' && additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
+    if(layer == 'Ruler' && this.settings['additional-data-layers']['layers'].includes('ruler') && $('#Ruler-show').is(':checked')) {
       this.buildGroupRulerLayer(genomeID, layerPos, rulerHeight, orderIndex)
       layerPos += rulerHeight
     }
@@ -158,15 +159,21 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
  *  Process to generate numerical ADL for genome groups (ie Coverage, GC Content )
  */
 GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor, layerHeight, orderIndex){
-    let maxGCValue = 0
+    // TODO this will need to be refactored once we begin testing genomes comprised of multiple contigs
+    let contigObj = Object.values(additionalDataLayers)[0]
+    let contigArr = Object.values(contigObj)[0]
+
+    let maxDataLayerValue = 0
     let startingTop = marginTop + yOffset + layerPos
     let startingLeft = xDisps[genomeID]
     let pathDirective = [`M 0 0`]
 
-    for(let i = 0; i < additionalDataLayers[layer].length; i++){
-      additionalDataLayers[layer][i] > maxGCValue ? maxGCValue = additionalDataLayers[layer][i] : null
+    for(let i = 0; i < contigArr.length; i++){
+      contigArr[i] > maxDataLayerValue ? maxDataLayerValue = contigArr[i] : null
     }
 
+    console.log(maxDataLayerValue)
+
     let nGroups = 20
     let j = 0
     let [l,r] = getRenderNTRange(genomeID);
@@ -175,20 +182,20 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genom
         if(j < l) continue;
         if(j > r) break;
         let left = j * scaleFactor + startingLeft
-        let top = [additionalDataLayers[layer][j] / maxGCValue] * layerHeight
+        let top = [contigArr[j] / maxDataLayerValue] * layerHeight
         let segment = `L ${left} ${top}`
         pathDirective.push(segment)
       }
       let graphObj = new fabric.Path(pathDirective.join(' '))
       graphObj.set({
         top : startingTop,
-        stroke : additionalDataLayers[layer] ? additionalDataLayers[`${layer}-color`] : defaultColor,
+        stroke : 'black', //additionalDataLayers[layer] ? additionalDataLayers[`${layer}-color`] : defaultColor,
         fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
         selectable: false,
         objectCaching: false,
         id : `${layer} graph`,
         groupID : genomeID,
-        genome : additionalDataLayers['genome']
+        genome : genomeID
       })
       canvas.bringToFront(graphObj)
       pathDirective = []

From 7d72b705fe596c5887ecd0a62db0512a02ecc4f4 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 28 Sep 2021 21:08:59 +0000
Subject: [PATCH 0456/1020] cleanup

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 --
 1 file changed, 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 81fddba562..50e8d3b1b5 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -172,8 +172,6 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genom
       contigArr[i] > maxDataLayerValue ? maxDataLayerValue = contigArr[i] : null
     }
 
-    console.log(maxDataLayerValue)
-
     let nGroups = 20
     let j = 0
     let [l,r] = getRenderNTRange(genomeID);

From 7b9a1af8c9e17896e3d30171928e866675ba3d80 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 29 Sep 2021 14:55:52 +0000
Subject: [PATCH 0457/1020] use genome name for label, not 1st contig

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 50e8d3b1b5..bf18c7c65b 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -91,7 +91,7 @@ GenomeDrawer.prototype.calculateLayerSizes = function(){
 GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
   let genome = this.settings['genomeData']['genomes'][orderIndex];
   let gene_list = genome[1].genes.gene_calls;
-  let genomeLabel = gene_list[0].contig;
+  let genomeLabel = genome[0]
   let genomeID = genome[0];
   let y = marginTop + yOffset + layerPos + (layerHeight / 2) // render arrows in the center of genome layer's allotted vertical space
 

From cb8ddb9b3b0d1a3ba6ab8613525bca93fb4d1bfe Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 29 Sep 2021 14:57:22 +0000
Subject: [PATCH 0458/1020] genomeID is the same as genomeLabel, use that

---
 anvio/data/interactive/js/genomeview/drawer.js | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index bf18c7c65b..be5639aa5f 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -91,12 +91,11 @@ GenomeDrawer.prototype.calculateLayerSizes = function(){
 GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
   let genome = this.settings['genomeData']['genomes'][orderIndex];
   let gene_list = genome[1].genes.gene_calls;
-  let genomeLabel = genome[0]
   let genomeID = genome[0];
   let y = marginTop + yOffset + layerPos + (layerHeight / 2) // render arrows in the center of genome layer's allotted vertical space
 
   if(showLabels) {
-    canvas.add(new fabric.Text(genomeLabel, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
+    canvas.add(new fabric.Text(genomeID, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
   }
 
   let [start, stop] = percentScale ? getRenderXRangeForFrac() : renderWindow.map(x => x*scaleFactor + xDisps[genomeID]);

From fe1714dcc58120453b40c3a7b831ec737e641242 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 29 Sep 2021 14:59:50 +0000
Subject: [PATCH 0459/1020] use genome name (not contig) when building UI
 table.

---
 anvio/data/interactive/js/genomeview/ui.js | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index c115becd4e..85e23d7995 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -283,9 +283,10 @@ function toggleSettingsPanel() {
 
 function buildGenomesTable(genomes, order){
   genomes.map(genome => {
+    console.log(genome[0])
     var height = '50';
     var margin = '15';
-    let genomeLabel= Object.keys(genome[1]['contigs']['info']);
+    let genomeLabel= genome[0];
     var template = `<tr id=${genomeLabel}>
                   <td><img src="images/drag.gif" class="drag-icon" id=${genomeLabel} /></td>
                   <td> ${genomeLabel} </td>

From 322398ae4b5b15907cacc41e8b07aa3559c1459c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 29 Sep 2021 15:02:56 +0000
Subject: [PATCH 0460/1020] refactor changeGenomeOrder - genome name, not
 contig

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 85e23d7995..febf85364a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -427,7 +427,7 @@ function changeGenomeOrder(updatedOrder){
   let newGenomeOrder = []
   updatedOrder.map(label => {
     settings['genomeData']['genomes'].map(genome => {
-        if(label == Object.keys(genome[1]['contigs']['info'])[0]){ // matching label text to first contig name of each genome
+        if(label == genome[0]){ // matching label text to first contig name of each genome
           newGenomeOrder.push(genome)
         }
     })

From f192c794a2a45952955133ddb0ef58f9f5a3222f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 29 Sep 2021 15:05:44 +0000
Subject: [PATCH 0461/1020] more concise

---
 anvio/data/interactive/js/genomeview/ui.js | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index febf85364a..c776b9f840 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -426,11 +426,7 @@ function changeGroupLayersOrder(updatedOrder){
 function changeGenomeOrder(updatedOrder){
   let newGenomeOrder = []
   updatedOrder.map(label => {
-    settings['genomeData']['genomes'].map(genome => {
-        if(label == genome[0]){ // matching label text to first contig name of each genome
-          newGenomeOrder.push(genome)
-        }
-    })
+    newGenomeOrder.push(settings['genomeData']['genomes'].find(genome => genome[0] == label))
   })
   settings['genomeData']['genomes'] = newGenomeOrder
   drawer.draw()

From 2ef9cf640a4ac2dc72d24bdf5596be959ffc4696 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 5 Oct 2021 15:26:50 +0000
Subject: [PATCH 0462/1020] cleanup

---
 anvio/data/interactive/js/genomeview/ui.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index c776b9f840..fcb5e7e3b0 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -283,7 +283,6 @@ function toggleSettingsPanel() {
 
 function buildGenomesTable(genomes, order){
   genomes.map(genome => {
-    console.log(genome[0])
     var height = '50';
     var margin = '15';
     let genomeLabel= genome[0];

From 0e536564fa63f97a301124c194856daaf919e402 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 5 Oct 2021 15:32:15 +0000
Subject: [PATCH 0463/1020] grab ADL colors from state

---
 anvio/data/interactive/js/genomeview/main.js | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 0f05194c74..e3a8e1aec0 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -203,6 +203,16 @@ function processState(stateName, stateData) {
     settings['display'] = {}
     settings['display']['additionalDataLayers'] = {}
   }
+
+  if(stateData['display'].hasOwnProperty('additional-data-layers')){ // grab stored color values for ADLs
+    if(stateData['display']['additional-data-layers']['coverage']){
+      settings['display']['additional-data-layers']['coverage'] = stateData['display']['additional-data-layers']['coverage']
+    }
+    if(stateData['display']['additional-data-layers']['gc-content']){
+      settings['display']['additional-data-layers']['gc-content'] = stateData['display']['additional-data-layers']['gc-content']
+    }
+  }
+
   if (stateData['display'] && stateData['display'].hasOwnProperty('bookmarks')) {
     settings['display']['bookmarks'] = stateData['bookmarks']
     settings['display']['bookmarks'].map(bookmark => {

From b001612784f07b2f0ea779b28ca4f61ebbac7423 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 5 Oct 2021 16:03:23 +0000
Subject: [PATCH 0464/1020] check for ADL color, send shades backwards but not
 to back

---
 anvio/data/interactive/js/genomeview/drawer.js | 14 +++++++++++---
 1 file changed, 11 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index be5639aa5f..cc1f9794c9 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -161,6 +161,14 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genom
     // TODO this will need to be refactored once we begin testing genomes comprised of multiple contigs
     let contigObj = Object.values(additionalDataLayers)[0]
     let contigArr = Object.values(contigObj)[0]
+    let stroke = 'black'
+
+    if(layer == 'Coverage'){
+      this.settings['display']['additional-data-layers']['coverage'] ? stroke = this.settings['display']['additional-data-layers']['coverage'] : stroke = 'black'
+    }
+    if(layer == 'GC_content'){
+      this.settings['display']['additional-data-layers']['gc-content'] ? stroke = this.settings['display']['additional-data-layers']['gc-content'] : stroke = 'black'
+    }
 
     let maxDataLayerValue = 0
     let startingTop = marginTop + yOffset + layerPos
@@ -186,8 +194,8 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genom
       let graphObj = new fabric.Path(pathDirective.join(' '))
       graphObj.set({
         top : startingTop,
-        stroke : 'black', //additionalDataLayers[layer] ? additionalDataLayers[`${layer}-color`] : defaultColor,
-        fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
+        stroke : stroke,
+        fill : '',
         selectable: false,
         objectCaching: false,
         id : `${layer} graph`,
@@ -381,7 +389,7 @@ GenomeDrawer.prototype.shadeGeneClusters = function(geneClusters, colors){
         selectable: false
       });
       path.sendBackwards();
-      canvas.sendToBack(path);
+      canvas.sendBackwards(path);
     }
     y += spacing
   }

From 0bc3850b4d04e57c3faa1ed258e93e86e8be3509 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 5 Oct 2021 16:03:40 +0000
Subject: [PATCH 0465/1020] ADL state processing

---
 anvio/data/interactive/js/genomeview/main.js | 9 +++------
 1 file changed, 3 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index e3a8e1aec0..7b0cbc7a99 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -199,18 +199,15 @@ function processState(stateName, stateData) {
 
   if (stateData.hasOwnProperty('display')) {
     settings['display'] = stateData['display']
-  } else {
-    settings['display'] = {}
-    settings['display']['additionalDataLayers'] = {}
-  }
-
-  if(stateData['display'].hasOwnProperty('additional-data-layers')){ // grab stored color values for ADLs
     if(stateData['display']['additional-data-layers']['coverage']){
       settings['display']['additional-data-layers']['coverage'] = stateData['display']['additional-data-layers']['coverage']
     }
     if(stateData['display']['additional-data-layers']['gc-content']){
       settings['display']['additional-data-layers']['gc-content'] = stateData['display']['additional-data-layers']['gc-content']
     }
+  } else {
+    settings['display'] = {}
+    settings['display']['additional-data-layers'] = {}
   }
 
   if (stateData['display'] && stateData['display'].hasOwnProperty('bookmarks')) {

From c6b761af6980b6492e729e47ebdc014890357325 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 5 Oct 2021 16:41:30 +0000
Subject: [PATCH 0466/1020] bring in bootstrap core lib for modal UI

---
 anvio/data/interactive/genomeview.html | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index e3324da3be..067cc22d06 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -15,6 +15,7 @@
         <script type="text/javascript" src="js/error.js"></script>
 
         <script type="text/javascript" src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js" onerror='alertDependencyError("jquery-core")'></script>
+        <script type="text/javascript" src="lib/bootstrap/dist/js/bootstrap.min.js" onerror='alertDependencyError("bootstrap-core")'></script>
         <script type="text/javascript" src="./lib/fabric/dist/fabric.js" onerror='alertDependencyError("fabric")'></script>
         <script type="text/javascript" src="lib/d3.js/d3.min.js" onerror='alertDependencyError("d3")'></script>
         <script type="text/javascript" src="lib/jquery-svgpan/jquery-svgpan.js" onerror='alertDependencyError("jquery-svg")'></script>

From 9b2d05749493d0c024121bf39deaf72545bda428 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 5 Oct 2021 16:42:56 +0000
Subject: [PATCH 0467/1020] import state-related ops to genome utils

---
 anvio/data/interactive/js/genomeview/utils.js | 46 +++++++++++++++++++
 1 file changed, 46 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 926348dcd4..57f984a25b 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -226,3 +226,49 @@ function filterColorTable(thresh) {
   generateColorTable(null, $("#gene_color_order").val());
   drawer.draw();
 }
+
+function showSaveStateWindow()
+{
+    $.ajax({
+        type: 'GET',
+        cache: false,
+        url: '/state/all',
+        success: function(state_list) {
+            $('#saveState_list').empty();
+
+            for (let state_name in state_list) {
+                var _select = "";
+                if (state_name == current_state_name)
+                {
+                    _select = ' selected="selected"';
+                }
+                $('#saveState_list').append('<option ' + _select + '>' + state_name + '</option>');
+            }
+
+            $('#modSaveState').modal('show');
+            if ($('#saveState_list').val() === null) {
+                $('#saveState_name').val('default');
+            } else {
+                $('#saveState_list').trigger('change');
+            }
+        }
+    });
+}
+
+function showLoadStateWindow()
+{
+    $.ajax({
+        type: 'GET',
+        cache: false,
+        url: '/state/all',
+        success: function(state_list) {
+            $('#loadState_list').empty();
+
+            for (let state_name in state_list) {
+                $('#loadState_list').append('<option lastmodified="' + state_list[state_name]['last_modified'] + '">' + state_name + '</option>');
+            }
+
+            $('#modLoadState').modal('show');
+        }
+    });
+}
\ No newline at end of file

From 7274656c6f7642abb8769d7ef0485e6f8dc36ae2 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 6 Oct 2021 15:31:58 +0000
Subject: [PATCH 0468/1020] import saveState function into utils

---
 anvio/data/interactive/js/genomeview/utils.js | 70 +++++++++++++++++--
 1 file changed, 65 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 57f984a25b..c0f7b85fb6 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -227,8 +227,7 @@ function filterColorTable(thresh) {
   drawer.draw();
 }
 
-function showSaveStateWindow()
-{
+function showSaveStateWindow(){
     $.ajax({
         type: 'GET',
         cache: false,
@@ -251,12 +250,14 @@ function showSaveStateWindow()
             } else {
                 $('#saveState_list').trigger('change');
             }
+        },
+        error: function(error){
+          console.log('got an error', error)
         }
     });
 }
 
-function showLoadStateWindow()
-{
+function showLoadStateWindow(){
     $.ajax({
         type: 'GET',
         cache: false,
@@ -271,4 +272,63 @@ function showLoadStateWindow()
             $('#modLoadState').modal('show');
         }
     });
-}
\ No newline at end of file
+}
+
+function saveState()
+{
+    var name = $('#saveState_name').val();
+
+    if (name.length==0) {
+        $('#saveState_name').focus();
+        return;
+    }
+
+    var state_exists = false;
+
+    $.ajax({
+        type: 'GET',
+        cache: false,
+        async: false,
+        url: '/state/all',
+        success: function(state_list) {
+            for (let state_name in state_list) {
+                if (state_name == name)
+                {
+                    state_exists = true;
+                }
+            }
+
+        }
+    });
+
+    if (state_exists && !confirm('"' + name + '" already exist, do you want to overwrite it?')) {
+        return;
+    }
+
+    $.ajax({
+        type: 'POST',
+        cache: false,
+        url: '/state/save/' + name,
+        data: {
+            'content': JSON.stringify(serializeSettings(true), null, 4)
+        },
+        success: function(response) {
+            if (typeof response != 'object') {
+                response = JSON.parse(response);
+            }
+
+            if (response['status_code']==0)
+            {
+                toastr.error("Failed, Interface running in read only mode.");
+            }
+            else if (response['status_code']==1)
+            {
+                // successfull
+                $('#modSaveState').modal('hide');
+
+                current_state_name = name;
+                toastr.success("State '" + current_state_name + "' successfully saved.");
+            }
+        }
+    });
+}

From 431050cd911294940ff27211c2fd6b23b769f06a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 6 Oct 2021 17:07:12 +0000
Subject: [PATCH 0469/1020] import jquery core css, move modals outside
 settings pane

---
 anvio/data/interactive/genomeview.html | 107 +++++++++++++------------
 1 file changed, 54 insertions(+), 53 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 067cc22d06..1fa16573d8 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -5,7 +5,8 @@
         <meta name="google" value="notranslate">
         <meta charset="UTF-8" />
 
-        <link rel="stylesheet" href="lib/bootstrap/dist/css/bootstrap.min.css" onerror='alertDependencyError("bootstrap`")' />
+        <link href="lib/jquery-ui/themes/base/all.css" rel="stylesheet">
+        <link rel="stylesheet" href="lib/bootstrap/dist/css/bootstrap.min.css" onerror='alertDependencyError("bootstrap")' />
         <link rel="stylesheet" href="lib/colpick/colpick.css" type="text/css" onerror='alertDependencyError("colpick-css")'/>
         <link rel="stylesheet" type="text/css" href="./css/genomeview.css" />
         <!-- main css file imported for color picker functionality -->
@@ -401,57 +402,57 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
               </div>
             </div>
 
-            <!-- LOAD STATE -->
-            <div class="modal fade" id="modLoadState" style="display: none">
-                <div class="modal-dialog">
-                    <div class="modal-content">
-                        <div class="modal-header">
-                            <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
-                            <h4 class="modal-title">Load State</h4>
-                        </div>
-
-                        <div class="modal-body">
-                            <select class="form-control" size="10" id="loadState_list" ondblclick="loadState();" onchange="$('#loadState_lastmodified').html('Last modified: ' + $('#loadState_list option:selected').attr('lastmodified')); "></select>
-                            <br />
-                            <div id="loadState_lastmodified">Last modified: n/a</div>
-                        </div>
-
-                        <div class="modal-footer">
-                            <button type="button" class="btn btn-primary" onclick="loadState();">Load</button>
-                            <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
-                        </div>
-                    </div>
-                </div>
-            </div>
-
-            <!-- SAVE STATE -->
-            <div class="modal fade" id="modSaveState" style="display: none">
-                <div class="modal-dialog">
-                    <div class="modal-content">
-                        <div class="modal-header">
-                            <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
-                            <h4 class="modal-title">Save State</h4>
-                        </div>
-
-                        <div class="modal-body">
-                            <div class="form-group">
-                                <select class="form-control" id="saveState_list" size="10" onchange="$('#saveState_name').val(this.value);" ondblclick="saveState();"></select>
-                            </div>
-                            <div class="form-group">
-                                    <label class="col-md-2 settings-label label-big" for="saveState_name">Name: </label>
-                                    <div class="col-md-10">
-                                        <input type="text" id="saveState_name" class="form-control" />
-                                    </div>
-                            </div>
-                        </div>
+          </div>
+          <!-- LOAD STATE -->
+          <div class="modal fade" id="modLoadState" style="display: none">
+              <div class="modal-dialog">
+                  <div class="modal-content">
+                      <div class="modal-header">
+                          <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
+                          <h4 class="modal-title">Load State</h4>
+                      </div>
+
+                      <div class="modal-body">
+                          <select class="form-control" size="10" id="loadState_list" ondblclick="loadState();" onchange="$('#loadState_lastmodified').html('Last modified: ' + $('#loadState_list option:selected').attr('lastmodified')); "></select>
+                          <br />
+                          <div id="loadState_lastmodified">Last modified: n/a</div>
+                      </div>
+
+                      <div class="modal-footer">
+                          <button type="button" class="btn btn-primary" onclick="loadState();">Load</button>
+                          <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
+                      </div>
+                  </div>
+              </div>
+          </div>
+
+          <!-- SAVE STATE -->
+          <div class="modal fade" id="modSaveState" style="display: none">
+              <div class="modal-dialog">
+                  <div class="modal-content">
+                      <div class="modal-header">
+                          <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
+                          <h4 class="modal-title">Save State</h4>
+                      </div>
+
+                      <div class="modal-body">
+                          <div class="form-group">
+                              <select class="form-control" id="saveState_list" size="10" onchange="$('#saveState_name').val(this.value);" ondblclick="saveState();"></select>
+                          </div>
+                          <div class="form-group">
+                                  <label class="col-md-2 settings-label label-big" for="saveState_name">Name: </label>
+                                  <div class="col-md-10">
+                                      <input type="text" id="saveState_name" class="form-control" />
+                                  </div>
+                          </div>
+                      </div>
 
-                        <div class="modal-footer">
-                            <button type="button" class="btn btn-primary" onclick="saveState();">Save</button>
-                            <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
-                        </div>
-                    </div>
-                </div>
-            </div>
-        </div>
-    </body>
+                      <div class="modal-footer">
+                          <button type="button" class="btn btn-primary" onclick="saveState();">Save</button>
+                          <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
+                      </div>
+                  </div>
+              </div>
+          </div>
+        </body>
 </html>

From 14ce0df756cbb2767362e40e3258e5718b57c20a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 6 Oct 2021 17:13:59 +0000
Subject: [PATCH 0470/1020] return state, fix mistake

---
 anvio/data/interactive/js/genomeview/main.js | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 7b0cbc7a99..837e3f13e2 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -139,7 +139,7 @@ function serializeSettings() {
   state['show-genome-labels'] = $('#show_genome_labels_box').is(':checked')
   state['genome-label-size'] = $('#genome_label').val()
   state['genome-label-color'] = $('#genome_label_color').attr(':color')
-  state['show-gene-labels'] = $('#show_gene_labels_box').us(':checked')
+  state['show-gene-labels'] = $('#show_gene_labels_box').is(':checked')
   state['gene-label-size'] = $('#gene_label').val()
   state['gene-label-color'] = $('#gene_label_color').attr(':color')
   state['gene-text-position'] = $('#gene_text_pos').val()
@@ -157,6 +157,8 @@ function serializeSettings() {
       color : color
     })
   })
+
+  return state
 }
 
 function processState(stateName, stateData) {

From 4d190dd704ec126138adc2327d318192a2a65943 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 6 Oct 2021 17:14:08 +0000
Subject: [PATCH 0471/1020] cleanup

---
 anvio/data/interactive/index.html | 15 +++++++--------
 1 file changed, 7 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/index.html b/anvio/data/interactive/index.html
index 52eed7ccd9..478de2a247 100644
--- a/anvio/data/interactive/index.html
+++ b/anvio/data/interactive/index.html
@@ -10,18 +10,17 @@
     <meta http-equiv="expires" content="Tue, 01 Jan 1980 1:00:00 GMT" />
     <meta http-equiv="pragma" content="no-cache" />
     <meta name="google" value="notranslate">
-    <link rel="stylesheet" href="lib/colpick/colpick.css" type="text/css" />
-    <link rel="stylesheet" href="lib/toastr/build/toastr.min.css" type="text/css" />
     <link rel="icon" type="image/png" href="images/logo-simple.png">
     <script type="text/javascript" src="js/error.js"></script>
 
-    <script type="text/javascript" src="lib/jquery/dist/jquery.min.js" onerror='alertDependencyError("jquery-core")'></script>
+    <link rel="stylesheet" href="lib/colpick/colpick.css" type="text/css" />
+    <link rel="stylesheet" href="lib/toastr/build/toastr.min.css" type="text/css" />
     <link href="lib/jquery-ui/themes/base/all.css" rel="stylesheet">
     <link rel="stylesheet" href="lib/bootstrap/dist/css/bootstrap.min.css" />
-    <script type="text/javascript" src="lib/bootstrap/dist/js/bootstrap.min.js" onerror='alertDependencyError("bootstrap-core")'></script>
     <link rel="stylesheet" href="css/main.css" type="text/css" />
 
-
+    <script type="text/javascript" src="lib/jquery/dist/jquery.min.js" onerror='alertDependencyError("jquery-core")'></script>
+    <script type="text/javascript" src="lib/bootstrap/dist/js/bootstrap.min.js" onerror='alertDependencyError("bootstrap-core")'></script>
     <script type="text/javascript" src="lib/jquery-svgpan/jquery-svgpan.js" onerror='alertDependencyError("jquery-svg")'></script>
     <script type="text/javascript" src="lib/jquery-ui/ui/core.js" onerror='alertDependencyError("jquery-core")'></script>
     <script type="text/javascript" src="lib/jquery-ui/ui/widget.js" onerror='alertDependencyError("jquery-widget")'></script>
@@ -341,7 +340,7 @@
                                         <Label class="col-md-4 settings-label" for="show_shade_for_bins" data-help="show-shade">Show shade: </Label>
                                         <div class="col-md-8">
                                             <input type="checkbox" id="show_shade_for_bins" name="checkbox" value="value" onchange="emit('bin-settings-changed'); if (this.checked) { $('.shade_details').show();} else { $('.shade_details').hide(); }" checked>
-                                            <span class="shade_details" style="display: float; margin-left:5px; float-left;">Shade opacity:        
+                                            <span class="shade_details" style="display: float; margin-left:5px; float-left;">Shade opacity:
                                                 <input type="number" min="0.0" max="1.0" step='0.1' value="0.1" id="shade_fill_opacity" name="checkbox" onchange="emit('bin-settings-changed')">
                                             </span>
                                         </div>
@@ -351,9 +350,9 @@
                                     <div class="col-md-8">
                                         <input type="checkbox" id="invert_shade_for_bins" name="checkbox" value="value" onchange="emit('bin-settings-changed'); if (this.checked) { $('.inverse_details, #inverse_color').show(); } else { $('.inverse_details, #inverse_color').hide(); }" style="float: left;" unchecked>
                                         <div id="inverse_color"onchange="emit('bin-settings-changed')" style="display: none !important; margin-left: 5px;" class="colorpicker" style="background-color: #000" color="#000"></div>
-                                        <span class="inverse_details" style="display: float; margin-left:5px; float-left;">Opacity:        
+                                        <span class="inverse_details" style="display: float; margin-left:5px; float-left;">Opacity:
                                             <input type="number" min="0.0" max="1.0" step='0.1' value="0.1" id="inverse_fill_opacity" name="checkbox" onchange="emit('bin-settings-changed')">
-                                        </span> 
+                                        </span>
                                     </div>
                                 </div>
                                 <div class="form-group form-margin">

From 9604a0a4288392cc0eefd36468eb5829ec7f849c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 6 Oct 2021 17:14:34 +0000
Subject: [PATCH 0472/1020] serializeState takes no arguments in genomeview

---
 anvio/data/interactive/js/genomeview/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index c0f7b85fb6..d12f90b9d0 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -310,7 +310,7 @@ function saveState()
         cache: false,
         url: '/state/save/' + name,
         data: {
-            'content': JSON.stringify(serializeSettings(true), null, 4)
+            'content': JSON.stringify(serializeSettings())
         },
         success: function(response) {
             if (typeof response != 'object') {

From 8da71da4286a081f0ef049f5672e385d4d625d9d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 6 Oct 2021 17:22:17 +0000
Subject: [PATCH 0473/1020] toastr options obj onReady

---
 anvio/data/interactive/js/genomeview/main.js | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 837e3f13e2..5fe80352bb 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -62,6 +62,24 @@ var counts; // stores # occurences for each category in the current function typ
 var genomeData;
 
 $(document).ready(function () {
+  toastr.options = {
+    "closeButton": true,
+    "debug": false,
+    "newestOnTop": true,
+    "progressBar": false,
+    "positionClass": "toast-top-right",
+    "preventDuplicates": false,
+    "onclick": null,
+    "showDuration": "500",
+    "hideDuration": "2000",
+    "timeOut": "12000",
+    "extendedTimeOut": "1000",
+    "showEasing": "swing",
+    "hideEasing": "linear",
+    "showMethod": "fadeIn",
+    "hideMethod": "fadeOut",
+  }
+
   initData();
   loadAdditionalDataLayers()
   loadState();

From 9fd93223ba80ec34d933245e957f68aa94a3c4cf Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 6 Oct 2021 17:22:29 +0000
Subject: [PATCH 0474/1020] hook in toastr lib/css

---
 anvio/data/interactive/genomeview.html | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 1fa16573d8..abf98c4d82 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -6,6 +6,7 @@
         <meta charset="UTF-8" />
 
         <link href="lib/jquery-ui/themes/base/all.css" rel="stylesheet">
+        <link rel="stylesheet" href="lib/toastr/build/toastr.min.css" type="text/css" />
         <link rel="stylesheet" href="lib/bootstrap/dist/css/bootstrap.min.css" onerror='alertDependencyError("bootstrap")' />
         <link rel="stylesheet" href="lib/colpick/colpick.css" type="text/css" onerror='alertDependencyError("colpick-css")'/>
         <link rel="stylesheet" type="text/css" href="./css/genomeview.css" />
@@ -29,6 +30,7 @@
         <script type="text/javascript" src="lib/jquery-ui/ui/resizable.js" onerror='alertDependencyError("jquery-resizable")'></script>
         <script type="text/javascript" src="lib/jquery-ui/ui/button.js" onerror='alertDependencyError("jquery-button")'></script>
         <script type="text/javascript" src="lib/jquery-ui/ui/position.js" onerror='alertDependencyError("jquery-position")'></script>
+        <script type="text/javascript" src="lib/toastr/build/toastr.min.js" onerror='alertDependencyError("toastr")'></script>
         <script type="text/javascript" src="lib/colpick/colpick.js" onerror='alertDependencyError("colpick", true)' onload='alertDependencyError(null, true)'></script>
 
         <script type="text/javascript" src="./js/constants.js"></script>

From dc30bed71cda0954e942064e81ff72d1f9fdd110 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 7 Oct 2021 19:36:17 +0000
Subject: [PATCH 0475/1020] genomeview local var current_state_name, refactor
 loadState()

---
 anvio/data/interactive/js/genomeview/main.js | 49 ++++++++++++--------
 1 file changed, 30 insertions(+), 19 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 5fe80352bb..f831abcc08 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -26,6 +26,7 @@
 var VIEWER_WIDTH = window.innerWidth || document.documentElement.clientWidth || document.getElementsByTagName('body')[0].clientWidth;
 var VIEWER_HEIGHT = window.innerHeight || document.documentElement.clientHeight || document.getElementsByTagName('body')[0].clientHeight;
 
+var current_state_name = null
 var alignToGC = null;
 var stateData = {};
 var settings = {} // packaged obj sent off to GenomeDrawer
@@ -82,7 +83,8 @@ $(document).ready(function () {
 
   initData();
   loadAdditionalDataLayers()
-  loadState();
+  processState('default', stateData)
+  // loadState();
   loadAll();
 });
 
@@ -119,24 +121,33 @@ function loadAdditionalDataLayers(){
 }
 
 function loadState() {
-  // $.ajax({
-  //   type: 'GET',
-  //   cache: false,
-  //   url: '/data/genome_view/state/get/' + state_name,
-  //   success: function (response) {
-  //     try {
-  //       // processState(state_name, response[0]); process actual response from backend
-  //       processState(state_name, mockStateData); // process mock state data
-  //     } catch (e) {
-  //       console.error("Exception thrown", e.stack);
-  //       toastr.error('Failed to parse state data, ' + e);
-  //       defer.reject();
-  //       return;
-  //     }
-  //     // waitingDialog.hide();
-  //   }
-  // })
-  processState('default', stateData) // moved here until state route is hooked in from backend
+
+  var defer = $.Deferred();
+    $('#modLoadState').modal('hide');
+    if ($('#loadState_list').val() == null) {
+        defer.reject();
+        return;
+    }
+
+    var state_name = $('#loadState_list').val();
+
+  $.ajax({
+    type: 'GET',
+    cache: false,
+    url: '/state/get/' + state_name,
+    success: function (response) {
+      try {
+        console.log(response[0])
+        // processState(state_name, response[0]);
+      } catch (e) {
+        console.error("Exception thrown", e.stack);
+        toastr.error('Failed to parse state data, ' + e);
+        defer.reject();
+        return;
+      }
+    }
+  })
+  // processState('default', stateData) // moved here until state route is hooked in from backend
 }
 
 function serializeSettings() {

From 1b6c47225dad9cd2f60aecae9b28f4dcfaa30504 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 7 Oct 2021 20:17:36 +0000
Subject: [PATCH 0476/1020] conditional check for mode == genome-view

---
 anvio/bottleroutes.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/anvio/bottleroutes.py b/anvio/bottleroutes.py
index 778c42f27f..fcd4c7bf47 100644
--- a/anvio/bottleroutes.py
+++ b/anvio/bottleroutes.py
@@ -466,9 +466,13 @@ def save_state(self, state_name):
 
     def get_state(self, state_name):
         if state_name in self.interactive.states_table.states:
+
             state = self.interactive.states_table.states[state_name]
             state_dict = json.loads(state['content'])
 
+            if self.interactive.mode == 'genome-view':
+                return json.dumps({'content' : state_dict})
+
             if self.interactive.mode == 'structure':
                 return json.dumps({'content': state['content']})
             else:
@@ -484,7 +488,7 @@ def get_state(self, state_name):
 
                 return json.dumps((state_dict, self.interactive.p_meta['item_orders'][default_order], self.interactive.views[default_view]))
 
-        return json.dumps("")
+        return json.dumps('')
 
 
     def charts(self, order_name, item_name):

From 018609f67af61db65fbce95fbbf926ca4e9c534a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 7 Oct 2021 20:20:50 +0000
Subject: [PATCH 0477/1020] load state error handling, send to processState

---
 anvio/data/interactive/js/genomeview/main.js | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index f831abcc08..ca049f221c 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -137,17 +137,18 @@ function loadState() {
     url: '/state/get/' + state_name,
     success: function (response) {
       try {
-        console.log(response[0])
-        // processState(state_name, response[0]);
+        processState(state_name, response['content']);
       } catch (e) {
         console.error("Exception thrown", e.stack);
         toastr.error('Failed to parse state data, ' + e);
         defer.reject();
         return;
       }
+    },
+    error: function(resp){
+      console.log(resp)
     }
   })
-  // processState('default', stateData) // moved here until state route is hooked in from backend
 }
 
 function serializeSettings() {
@@ -191,6 +192,8 @@ function serializeSettings() {
 }
 
 function processState(stateName, stateData) {
+  settings['state-name'] = stateName
+
   calculateMaxGenomeLength()
   if (stateData.hasOwnProperty('group-layer-order')) {
     settings['group-layer-order'] = stateData['group-layer-order']

From 66cbee3295f56c8f038485ff37786c55d356a2b2 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 8 Oct 2021 15:38:37 +0000
Subject: [PATCH 0478/1020] loadAll after new state is loaded, clear canvas

---
 anvio/data/interactive/js/genomeview/main.js | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index ca049f221c..f9fd563c0f 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -138,6 +138,7 @@ function loadState() {
     success: function (response) {
       try {
         processState(state_name, response['content']);
+        loadAll()
       } catch (e) {
         console.error("Exception thrown", e.stack);
         toastr.error('Failed to parse state data, ' + e);
@@ -263,6 +264,7 @@ function processState(stateName, stateData) {
 function loadAll() {
   buildGenomesTable(settings['genomeData']['genomes'], 'alphabetical') // hardcode order method until backend order data is hooked in
   canvas = new fabric.Canvas('myCanvas');
+  canvas.clear() // clear existing canvas if loadAll is being called from loadState
   canvas.setWidth(VIEWER_WIDTH * 0.85);
 
   $('.container').css({ 'height': VIEWER_HEIGHT + 'px', 'overflow-y': 'auto' })

From 8b3326fbbd6c14c77e76d902f7dfe02b5e312238 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 8 Oct 2021 15:49:05 +0000
Subject: [PATCH 0479/1020] loading screen div

---
 anvio/data/interactive/genomeview.html | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index abf98c4d82..f20b3635b9 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -44,6 +44,12 @@
 
     </head>
     <body>
+        <div class="loading-screen">
+          <div class="spinner-container">
+              <div class="loader"></div>
+              <br />Loading...
+          </div>
+        </div>
         <div class="container">
             <div id='labelAndMainContainer'>
               <canvas id="myCanvas" height="700px"></canvas>

From a763aaf55601f2c7f355c61cc832187d6b13b5ee Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 8 Oct 2021 15:51:28 +0000
Subject: [PATCH 0480/1020] loading screen css

---
 anvio/data/interactive/genomeview.html | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index f20b3635b9..dcf777fdd8 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -12,6 +12,8 @@
         <link rel="stylesheet" type="text/css" href="./css/genomeview.css" />
         <!-- main css file imported for color picker functionality -->
         <link rel="stylesheet" type="text/css" href="./css/main.css" />
+        <link rel="stylesheet" type="text/css" href="css/loading.css" />
+
         <link rel="shortcut icon" href="#">
 
         <script type="text/javascript" src="js/error.js"></script>

From b0d760219807163c1e5e1f379a41e4efd4bc3c44 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 8 Oct 2021 15:51:50 +0000
Subject: [PATCH 0481/1020] hook in loading screen

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 +
 anvio/data/interactive/js/genomeview/main.js   | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index cc1f9794c9..c12e76469b 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -38,6 +38,7 @@ GenomeDrawer.prototype.draw = function(){
 
   checkGeneLabels();
   drawTestShades();
+  $('.loading-screen').hide();
 }
 
 /*
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index f9fd563c0f..43fe4027c0 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -80,7 +80,7 @@ $(document).ready(function () {
     "showMethod": "fadeIn",
     "hideMethod": "fadeOut",
   }
-
+  $('.loading-screen').show();
   initData();
   loadAdditionalDataLayers()
   processState('default', stateData)

From 2f3114061662f2d0fb637a172a5b6a4095aaef31 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 8 Oct 2021 15:56:07 +0000
Subject: [PATCH 0482/1020] removed - show by default

---
 anvio/data/interactive/js/genomeview/main.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 43fe4027c0..91eeb20929 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -80,7 +80,6 @@ $(document).ready(function () {
     "showMethod": "fadeIn",
     "hideMethod": "fadeOut",
   }
-  $('.loading-screen').show();
   initData();
   loadAdditionalDataLayers()
   processState('default', stateData)

From 6775dad4e0fd8c48b67f5097e8aff6c3398eda8e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 8 Oct 2021 15:56:50 +0000
Subject: [PATCH 0483/1020] cleanup

---
 anvio/data/interactive/js/genomeview/main.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 91eeb20929..077022ad1b 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -83,7 +83,6 @@ $(document).ready(function () {
   initData();
   loadAdditionalDataLayers()
   processState('default', stateData)
-  // loadState();
   loadAll();
 });
 

From 77f13c6b57ee5d54c7a0ffaeb324be763d74b201 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 11 Oct 2021 20:45:17 +0000
Subject: [PATCH 0484/1020] new loadAll argument 'type', process differently
 based on load source

---
 anvio/data/interactive/js/genomeview/main.js | 21 +++++++++++---------
 1 file changed, 12 insertions(+), 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 077022ad1b..c96d79c735 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -83,7 +83,7 @@ $(document).ready(function () {
   initData();
   loadAdditionalDataLayers()
   processState('default', stateData)
-  loadAll();
+  loadAll('init');
 });
 
 function initData() {
@@ -136,7 +136,7 @@ function loadState() {
     success: function (response) {
       try {
         processState(state_name, response['content']);
-        loadAll()
+        loadAll('reload')
       } catch (e) {
         console.error("Exception thrown", e.stack);
         toastr.error('Failed to parse state data, ' + e);
@@ -214,6 +214,7 @@ function processState(stateName, stateData) {
     maxGroupSize += 1 // increase group size if GC layer exists
   }
 
+  $('#tbody_additionalDataLayers').html('') // clear div before reprocess
   settings['group-layer-order'].map(layer => {
     buildGroupLayersTable(layer)
   })
@@ -259,8 +260,7 @@ function processState(stateName, stateData) {
   }
 }
 
-function loadAll() {
-  buildGenomesTable(settings['genomeData']['genomes'], 'alphabetical') // hardcode order method until backend order data is hooked in
+function loadAll(loadType) {
   canvas = new fabric.Canvas('myCanvas');
   canvas.clear() // clear existing canvas if loadAll is being called from loadState
   canvas.setWidth(VIEWER_WIDTH * 0.85);
@@ -271,11 +271,8 @@ function loadAll() {
     xDisps[genome[0]] = xDisplacement;
   }
 
-  // Find max length genome
   calculateMaxGenomeLength()
 
-  drawScale();
-
   if (showGeneLabels && arrowStyle != 3) {
     marginTop = 60;
     spacing = 200; // TODO maybe we refactor this out into a setSpacing() method for clarity?
@@ -292,14 +289,20 @@ function loadAll() {
       text: fn
     }));
   }
+
   color_db = $('#gene_color_order').val();
-  generateColorTable(fn_colors = null, fn_type = color_db);
+
+  if(loadType == 'init'){
+    buildGenomesTable(settings['genomeData']['genomes'], 'alphabetical') // hardcode order method until backend order data is hooked in
+    drawScale();
+    setEventListeners()
+    generateColorTable(fn_colors = null, fn_type = color_db);
+  }
 
   brush.extent([parseInt($('#brush_start').val()), parseInt($('#brush_end').val())]);
   brush(d3.select(".brush"));
   updateRenderWindow();
 
-  setEventListeners()
   console.log('Sending this data obj to GenomeDrawer', settings)
   drawer = new GenomeDrawer(settings)
   drawer.draw()

From 7807345950bd232a78f0d560c9104738602a7e22 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 11 Oct 2021 22:04:01 +0000
Subject: [PATCH 0485/1020] process ADL data, group layer order in ajax call

---
 anvio/data/interactive/js/genomeview/main.js | 23 ++++++++++----------
 1 file changed, 11 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index c96d79c735..fafbf2f9bb 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -114,6 +114,17 @@ function loadAdditionalDataLayers(){
     success: function (resp) {
       settings['additional-data-layers'] = resp
       settings['additional-data-layers']['layers'].push('ruler') // add ruler by default
+      settings['group-layer-order'] = ['Genome', 'Ruler']
+
+      if (settings['additional-data-layers']['layers'].includes('Coverage')) {
+        settings['group-layer-order'].unshift('Coverage')
+        maxGroupSize += 1 // increase group size if coverage layer exists
+      }
+
+      if (settings['additional-data-layers']['layers'].includes('GC_content')) {
+        settings['group-layer-order'].unshift('GC_Content')
+        maxGroupSize += 1 // increase group size if GC layer exists
+      }
     }
   });
 }
@@ -196,24 +207,12 @@ function processState(stateName, stateData) {
   calculateMaxGenomeLength()
   if (stateData.hasOwnProperty('group-layer-order')) {
     settings['group-layer-order'] = stateData['group-layer-order']
-  } else {
-    settings['group-layer-order'] = ['Genome', 'Ruler']
   }
 
   if (stateData.hasOwnProperty('additional-data-layers')) {
     settings['additional-data-layers'] = stateData['additional-data-layers']
   }
 
-  if (settings['additional-data-layers'] && settings['additional-data-layers']['layers'].includes('Coverage')) {
-    settings['group-layer-order'].unshift('Coverage')
-    maxGroupSize += 1 // increase group size if coverage layer exists
-  }
-
-  if (settings['additional-data-layers'] && settings['additional-data-layers']['layers'].includes('GC_content')) {
-    settings['group-layer-order'].unshift('GC_Content')
-    maxGroupSize += 1 // increase group size if GC layer exists
-  }
-
   $('#tbody_additionalDataLayers').html('') // clear div before reprocess
   settings['group-layer-order'].map(layer => {
     buildGroupLayersTable(layer)

From 9715c6ad257c8e9f22d3813d326d8123bff10a62 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 11 Oct 2021 22:08:32 +0000
Subject: [PATCH 0486/1020] genome order is an element of state

---
 anvio/data/interactive/js/genomeview/main.js | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index fafbf2f9bb..247841e428 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -174,6 +174,7 @@ function serializeSettings() {
   state['arrow-stype'] = $('#arrow_style').val()
   state['group-layer-order'] = settings['group-layer-order']
   state['bookmarks'] = settings['display']['bookmarks']
+  state['genome-order'] = settings['genomeData']['genomes']
   state['gene-link-style'] = $('#link_style').val()
   state['gene-shade-style'] = $('#shade_by').val()
   state['show-genome-labels'] = $('#show_genome_labels_box').is(':checked')
@@ -230,6 +231,10 @@ function processState(stateName, stateData) {
     })
   }
 
+  if (stateData.hasOwnProperty('genome-order')){
+    settings['genomeData']['genomes'] = stateData['genome-order']
+  }
+
   if (stateData.hasOwnProperty('display')) {
     settings['display'] = stateData['display']
     if(stateData['display']['additional-data-layers']['coverage']){

From 0b9d6ab6e6aa0722e5863e5bd64a083c8592dca7 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 11 Oct 2021 22:21:29 +0000
Subject: [PATCH 0487/1020] add + use genome-spacing in state

---
 anvio/data/interactive/js/genomeview/main.js | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 247841e428..e00e31a3be 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -248,6 +248,10 @@ function processState(stateName, stateData) {
     settings['display']['additional-data-layers'] = {}
   }
 
+  if (stateData.hasOwnProperty('genome-spacing')){
+    settings['display']['genome-spacing'] = stateData['genome-spacing']
+  }
+
   if (stateData['display'] && stateData['display'].hasOwnProperty('bookmarks')) {
     settings['display']['bookmarks'] = stateData['bookmarks']
     settings['display']['bookmarks'].map(bookmark => {
@@ -279,7 +283,7 @@ function loadAll(loadType) {
 
   if (showGeneLabels && arrowStyle != 3) {
     marginTop = 60;
-    spacing = 200; // TODO maybe we refactor this out into a setSpacing() method for clarity?
+    spacing = settings['display']['genome-spacing'] ? settings['display']['genome-spacing'] : 200; // TODO maybe we refactor this out into a setSpacing() method for clarity?
     $("#genome_spacing").val(spacing);
   }
 

From 37ba61ee086c9244d05209296faccf9adc6313a9 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 11 Oct 2021 22:27:34 +0000
Subject: [PATCH 0488/1020] clear genomes table before every redraw

---
 anvio/data/interactive/js/genomeview/ui.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index fcb5e7e3b0..225a58cca8 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -282,6 +282,7 @@ function toggleSettingsPanel() {
 }
 
 function buildGenomesTable(genomes, order){
+  $("#tbody_genomes").empty() // clear table before redraw
   genomes.map(genome => {
     var height = '50';
     var margin = '15';

From 2aec6a31f3248354848b812ce84cb02df96d0b40 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 11 Oct 2021 22:27:53 +0000
Subject: [PATCH 0489/1020] rebuild genomes table regardless of loadType

---
 anvio/data/interactive/js/genomeview/main.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index e00e31a3be..b978f97dbb 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -300,8 +300,8 @@ function loadAll(loadType) {
 
   color_db = $('#gene_color_order').val();
 
+  buildGenomesTable(settings['genomeData']['genomes'], 'alphabetical') // hardcode order method until backend order data is hooked in
   if(loadType == 'init'){
-    buildGenomesTable(settings['genomeData']['genomes'], 'alphabetical') // hardcode order method until backend order data is hooked in
     drawScale();
     setEventListeners()
     generateColorTable(fn_colors = null, fn_type = color_db);

From 389f5327d17b2b1e740a21351c4e6f9c423d40fc Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 12 Oct 2021 16:41:52 +0000
Subject: [PATCH 0490/1020] replace global arrow style var with state element

---
 anvio/data/interactive/js/genomeview/main.js | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index b978f97dbb..b3fa50e36d 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -36,7 +36,6 @@ var genomeMax = 0;
 var yOffset = 0 // vertical space between additional data layers
 var xDisplacement = 0; // x-offset of genome start, activated if genome labels are shown
 var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
-var arrowStyle = 1; // gene arrow cosmetics. 1 (default) = 'inspect-page', 2 = thicker arrows, 3 = pentagon, 4 = rect
 var maxGroupSize = 2 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer + group ruler.
 var genomeLabelSize = 15; // font size of genome labels
 var marginTop = 20; // vertical margin at the top of the genome display
@@ -171,7 +170,7 @@ function serializeSettings() {
   state['order-method'] = $('#genome_order_select').val()
   state['dynamic-scale-interval'] = $('#show_dynamic_scale_box').is(':checked')
   state['genome-scale-interval'] = $('#genome_scale_interval').val()
-  state['arrow-stype'] = $('#arrow_style').val()
+  state['arrow-style'] = $('#arrow_style').val()
   state['group-layer-order'] = settings['group-layer-order']
   state['bookmarks'] = settings['display']['bookmarks']
   state['genome-order'] = settings['genomeData']['genomes']
@@ -203,6 +202,7 @@ function serializeSettings() {
 }
 
 function processState(stateName, stateData) {
+  console.log(stateData)
   settings['state-name'] = stateName
 
   calculateMaxGenomeLength()
@@ -252,6 +252,12 @@ function processState(stateName, stateData) {
     settings['display']['genome-spacing'] = stateData['genome-spacing']
   }
 
+  if (stateData.hasOwnProperty('arrow-style')){
+    settings['display']['arrow-style'] = stateData['arrow-style']
+  } else {
+    settings['display']['arrow-style'] = '1' // default
+  }
+
   if (stateData['display'] && stateData['display'].hasOwnProperty('bookmarks')) {
     settings['display']['bookmarks'] = stateData['bookmarks']
     settings['display']['bookmarks'].map(bookmark => {

From 4ec5968ef7d5e0afcdb43ad11673b2f0cdb44798 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 12 Oct 2021 16:42:12 +0000
Subject: [PATCH 0491/1020] update settings obj, not global var

---
 anvio/data/interactive/js/genomeview/ui.js | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 225a58cca8..d5f3678968 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -159,7 +159,8 @@ function setEventListeners(){
     $(this).blur();
   });
   $('#arrow_style').on('change', function () {
-    arrowStyle = parseInt($(this).val());
+    // arrowStyle = parseInt($(this).val());
+    settings['display']['arrow-style'] = parseInt($(this).val());
     drawer.draw()
     $(this).blur();
   });

From e6be8575e853b415a5a6f4e963494df182a10124 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 12 Oct 2021 16:42:29 +0000
Subject: [PATCH 0492/1020] use settings when drawing gene arrows

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index c12e76469b..e44f8738bd 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -122,7 +122,7 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
     let [ntStart, ntStop] = getRenderNTRange(genomeID);
     if(gene.start < ntStart) continue;
     if(gene.stop > ntStop) return;
-    var geneObj = this.geneArrow(gene,geneID,y,genomeID,arrowStyle);
+    var geneObj = this.geneArrow(gene,geneID,y,genomeID,this.settings['display']['arrow-style']);
     canvas.add(geneObj);
 
     if(showGeneLabels) {
@@ -309,7 +309,7 @@ GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
   let stemLength = length-25 > 0 ? length-25 : 0;
 
   var arrowPathStr;
-  switch(style) {
+  switch(parseInt(style)) {
     case 2: // thicker arrows
       arrowPathStr = 'M ' + stemLength + ' -5 L 0 -5 L 0 15 L ' + stemLength + ' 15 L ' + stemLength + ' 15 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
       break;

From 2bd666d5190a20175b2deebca6e704ad2eb4d58b Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 12 Oct 2021 17:14:13 +0000
Subject: [PATCH 0493/1020] use settings obj

---
 anvio/data/interactive/js/genomeview/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index d12f90b9d0..6c3cc77c3f 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -76,7 +76,7 @@ function getGenesOfGC(genomeID, gc) {
 function checkGeneLabels() {
   var labels = canvas.getObjects().filter(obj => obj.id == 'geneLabel');
   for(var i = 0; i < labels.length-1; i++) {
-    if(arrowStyle == 3) {
+    if(this.settings['display']['arrow-style'] == 3) {
       // hide labels that don't fit inside pentagon arrows
       if(labels[i].width/2 > canvas.getObjects().filter(obj => obj.id == 'arrow')[i].width) {
         labels[i].visible = false;

From 5c00edcd0e882faa05a4882d8a88530f1fa207e2 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 12 Oct 2021 17:14:23 +0000
Subject: [PATCH 0494/1020] use settings obj

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index e44f8738bd..0f2fc6ccd6 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -140,7 +140,7 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
         lockScaling: true,
         hoverCursor: 'text'
       });
-      if(arrowStyle == 3) {
+      if(this.settings['display']['arrow-style'] == 3) {
         label.set({
           top: geneLabelPos == "inside" ? y-5 : y-30,
           selectionColor:'rgba(128,128,128,.5)'

From 2e9bdabb62c6b3abefc1fad2cd9ad955b7ddccac Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 12 Oct 2021 17:14:53 +0000
Subject: [PATCH 0495/1020] update arrow UI select based on settings value

---
 anvio/data/interactive/js/genomeview/main.js | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index b3fa50e36d..7230fef1a9 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -254,8 +254,10 @@ function processState(stateName, stateData) {
 
   if (stateData.hasOwnProperty('arrow-style')){
     settings['display']['arrow-style'] = stateData['arrow-style']
+    $('#arrow_style').val(stateData['arrow-style'])
   } else {
     settings['display']['arrow-style'] = '1' // default
+    $('#arrow_style').val(settings['display']['arrow-style'])
   }
 
   if (stateData['display'] && stateData['display'].hasOwnProperty('bookmarks')) {
@@ -287,7 +289,7 @@ function loadAll(loadType) {
 
   calculateMaxGenomeLength()
 
-  if (showGeneLabels && arrowStyle != 3) {
+  if (showGeneLabels && parseInt(settings['display']['arrow-style']) != 3) {
     marginTop = 60;
     spacing = settings['display']['genome-spacing'] ? settings['display']['genome-spacing'] : 200; // TODO maybe we refactor this out into a setSpacing() method for clarity?
     $("#genome_spacing").val(spacing);

From d955c117c9e2a435fac21dccdde8c7d3bbbd6c4a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 12 Oct 2021 18:44:13 +0000
Subject: [PATCH 0496/1020] rebuild bookmark UI select upon new bookmark
 creation

---
 anvio/data/interactive/js/genomeview/ui.js | 11 +++++++++--
 1 file changed, 9 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index d5f3678968..5c24670854 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -391,9 +391,16 @@ function createBookmark(){
         description : $('#create_bookmark_description').val(),
       }
     )
-    alert('bookmark successfully created :)')
+    toastr.success('bookmark successfully created :)')
+    $('#create_bookmark_input').val('')
+    $('#create_bookmark_description').val('')
+    $('#bookmarks-select').empty()
+
+    settings['display']['bookmarks'].map(bookmark => {
+      $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
+    })
   } catch (error) {
-    alert(`anvi'o was unable to save your bookmark because of an error ${error} :/`)
+    toastr.error(`anvi'o was unable to save your bookmark because of an error ${error} :/`)
     // throw to error landing page?
   }
 }

From c8ce5b6aeee484af225c78b18391b14e4d2b5398 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 12 Oct 2021 18:47:35 +0000
Subject: [PATCH 0497/1020] bookmarks from state

---
 anvio/data/interactive/js/genomeview/main.js | 8 ++------
 1 file changed, 2 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 7230fef1a9..5917e13177 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -260,18 +260,14 @@ function processState(stateName, stateData) {
     $('#arrow_style').val(settings['display']['arrow-style'])
   }
 
-  if (stateData['display'] && stateData['display'].hasOwnProperty('bookmarks')) {
+  if (stateData.hasOwnProperty('bookmarks')) {
     settings['display']['bookmarks'] = stateData['bookmarks']
     settings['display']['bookmarks'].map(bookmark => {
       $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
     })
     respondToBookmarkSelect()
   } else {
-    calculateMaxGenomeLength() // remove later, only here to set max length for bookmark
-    settings['display']['bookmarks'] = generateMockBookmarks()
-    settings['display']['bookmarks'].map(bookmark => {
-      $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
-    })
+    settings['display']['bookmarks'] = []
     respondToBookmarkSelect() // set listener for user bookmark selection
   }
 }

From 91ec918751029ad91f415d0c5fa4e9b734a29077 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 12 Oct 2021 18:48:00 +0000
Subject: [PATCH 0498/1020] deprecated :D

---
 anvio/data/interactive/js/genomeview/test.js | 30 --------------------
 1 file changed, 30 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/test.js b/anvio/data/interactive/js/genomeview/test.js
index 54dc667b38..a514d29518 100644
--- a/anvio/data/interactive/js/genomeview/test.js
+++ b/anvio/data/interactive/js/genomeview/test.js
@@ -61,34 +61,4 @@ function generateMockGenomeOrder() {
     'name': 'birds',
     'ordering': 'beaks to tails'
   }]
-}
-
-function generateMockBookmarks(){
-  let bookmarks = [
-    {
-      name: 'entire seq',
-      start: '0',
-      stop: genomeMax,
-      description: 'a mighty fine placeholder'
-    },
-    {
-      name: 'shindig',
-      start: '5000',
-      stop: '9000',
-      description: 'a beautiful placeholder'
-    },
-    {
-      name: 'fiesta',
-      start: '15000',
-      stop: '19000',
-      description: 'an adequate placeholder'
-    },
-    {
-      name: 'party',
-      start: '25000',
-      stop: '29000',
-      description: 'the very best placeholder'
-    },
-  ]
-  return bookmarks
 }
\ No newline at end of file

From dedc7f441e09f742580d414910a9805babfa1831 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Oct 2021 15:10:41 +0000
Subject: [PATCH 0499/1020] refactor layers obj

---
 anvio/data/interactive/js/genomeview/ui.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 5c24670854..c29cff0e5b 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -365,10 +365,10 @@ function toggleAdditionalDataLayer(e){
   let layer = e.target.id.split('-')[0]
 
   if(e.target.checked){
-    settings['display']['additionalDataLayers'][layer] = true
+    settings['display']['layers'][layer] = true
     maxGroupSize += 1
   } else {
-    settings['display']['additionalDataLayers'][layer] = false
+    settings['display']['layers'][layer] = false
     maxGroupSize -= 1 // decrease group height if hiding the layer
   }
   drawer.draw()

From 62821e069338c0cdcdc6447957f413e010ad316e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Oct 2021 15:11:05 +0000
Subject: [PATCH 0500/1020] this check will happen in process state

---
 anvio/data/interactive/js/genomeview/drawer.js | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 0f2fc6ccd6..0de86f1fc7 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -164,12 +164,12 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genom
     let contigArr = Object.values(contigObj)[0]
     let stroke = 'black'
 
-    if(layer == 'Coverage'){
-      this.settings['display']['additional-data-layers']['coverage'] ? stroke = this.settings['display']['additional-data-layers']['coverage'] : stroke = 'black'
-    }
-    if(layer == 'GC_content'){
-      this.settings['display']['additional-data-layers']['gc-content'] ? stroke = this.settings['display']['additional-data-layers']['gc-content'] : stroke = 'black'
-    }
+    // if(layer == 'Coverage'){
+    //   this.settings['display']['additional-data-layers']['coverage'] ? stroke = this.settings['display']['additional-data-layers']['coverage'] : stroke = 'black'
+    // }
+    // if(layer == 'GC_content'){
+    //   this.settings['display']['additional-data-layers']['gc-content'] ? stroke = this.settings['display']['additional-data-layers']['gc-content'] : stroke = 'black'
+    // }
 
     let maxDataLayerValue = 0
     let startingTop = marginTop + yOffset + layerPos

From 5d49658a36301e614f6b9ab8ffed8ff4ea81e4d6 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Oct 2021 15:11:33 +0000
Subject: [PATCH 0501/1020] set sane defaults, override if state values are
 present

---
 anvio/data/interactive/js/genomeview/main.js | 25 ++++++++++++++------
 1 file changed, 18 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 5917e13177..a9c6401b79 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -115,13 +115,20 @@ function loadAdditionalDataLayers(){
       settings['additional-data-layers']['layers'].push('ruler') // add ruler by default
       settings['group-layer-order'] = ['Genome', 'Ruler']
 
+      settings['display'] = {}
+      settings['display']['layers'] = {} // set default layer visibility
+      settings['display']['layers']['Ruler'] = true
+      settings['display']['layers']['Genome'] = true
+
       if (settings['additional-data-layers']['layers'].includes('Coverage')) {
         settings['group-layer-order'].unshift('Coverage')
+        settings['display']['layers']['coverage'] = true
         maxGroupSize += 1 // increase group size if coverage layer exists
       }
 
       if (settings['additional-data-layers']['layers'].includes('GC_content')) {
         settings['group-layer-order'].unshift('GC_Content')
+        settings['display']['layers']['GC_Content'] = true
         maxGroupSize += 1 // increase group size if GC layer exists
       }
     }
@@ -174,6 +181,7 @@ function serializeSettings() {
   state['group-layer-order'] = settings['group-layer-order']
   state['bookmarks'] = settings['display']['bookmarks']
   state['genome-order'] = settings['genomeData']['genomes']
+  state['display'] = settings['display']
   state['gene-link-style'] = $('#link_style').val()
   state['gene-shade-style'] = $('#shade_by').val()
   state['show-genome-labels'] = $('#show_genome_labels_box').is(':checked')
@@ -237,15 +245,18 @@ function processState(stateName, stateData) {
 
   if (stateData.hasOwnProperty('display')) {
     settings['display'] = stateData['display']
-    if(stateData['display']['additional-data-layers']['coverage']){
-      settings['display']['additional-data-layers']['coverage'] = stateData['display']['additional-data-layers']['coverage']
+    if(stateData['display']['layers']['Coverage']){
+      settings['display']['layers']['Coverage'] = stateData['display']['layers']['Coverage']
     }
-    if(stateData['display']['additional-data-layers']['gc-content']){
-      settings['display']['additional-data-layers']['gc-content'] = stateData['display']['additional-data-layers']['gc-content']
+    if(stateData['display']['layers']['GC_Content']){
+      settings['display']['layers']['GC_Content'] = stateData['display']['layers']['GC_Content']
+    }
+    if(stateData['display']['layers']['Ruler']){
+      settings['display']['layers']['Ruler'] = stateData['display']['layers']['Ruler']
+    }
+    if(stateData['display']['layers']['Genome']){
+      settings['display']['layers']['Genome'] = stateData['display']['layers']['Genome']
     }
-  } else {
-    settings['display'] = {}
-    settings['display']['additional-data-layers'] = {}
   }
 
   if (stateData.hasOwnProperty('genome-spacing')){

From 8d6bfa9b9a2d90983570ff2dd89c33804cbf75e9 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Oct 2021 16:32:02 +0000
Subject: [PATCH 0502/1020] cleanup / reorg

---
 anvio/data/interactive/js/genomeview/main.js | 33 +++++++-------------
 1 file changed, 11 insertions(+), 22 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index a9c6401b79..88bb5d2d5f 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -114,22 +114,24 @@ function loadAdditionalDataLayers(){
       settings['additional-data-layers'] = resp
       settings['additional-data-layers']['layers'].push('ruler') // add ruler by default
       settings['group-layer-order'] = ['Genome', 'Ruler']
-
       settings['display'] = {}
-      settings['display']['layers'] = {} // set default layer visibility
+      settings['display']['colors'] = {}
+      settings['display']['layers'] = {}
       settings['display']['layers']['Ruler'] = true
       settings['display']['layers']['Genome'] = true
 
       if (settings['additional-data-layers']['layers'].includes('Coverage')) {
         settings['group-layer-order'].unshift('Coverage')
         settings['display']['layers']['coverage'] = true
-        maxGroupSize += 1 // increase group size if coverage layer exists
+        settings['display']['colors']['coverage'] = '#000000'
+        maxGroupSize += 1
       }
 
       if (settings['additional-data-layers']['layers'].includes('GC_content')) {
         settings['group-layer-order'].unshift('GC_Content')
         settings['display']['layers']['GC_Content'] = true
-        maxGroupSize += 1 // increase group size if GC layer exists
+        settings['display']['colors']['GC_Content'] = '#000000'
+        maxGroupSize += 1
       }
     }
   });
@@ -210,7 +212,6 @@ function serializeSettings() {
 }
 
 function processState(stateName, stateData) {
-  console.log(stateData)
   settings['state-name'] = stateName
 
   calculateMaxGenomeLength()
@@ -222,11 +223,6 @@ function processState(stateName, stateData) {
     settings['additional-data-layers'] = stateData['additional-data-layers']
   }
 
-  $('#tbody_additionalDataLayers').html('') // clear div before reprocess
-  settings['group-layer-order'].map(layer => {
-    buildGroupLayersTable(layer)
-  })
-
   if (stateData.hasOwnProperty('genome-order-method')) {
     settings['genome-order-method'] = stateData['genome-order-method']
     settings['genome-order-method'].forEach(orderMethod => {
@@ -245,18 +241,6 @@ function processState(stateName, stateData) {
 
   if (stateData.hasOwnProperty('display')) {
     settings['display'] = stateData['display']
-    if(stateData['display']['layers']['Coverage']){
-      settings['display']['layers']['Coverage'] = stateData['display']['layers']['Coverage']
-    }
-    if(stateData['display']['layers']['GC_Content']){
-      settings['display']['layers']['GC_Content'] = stateData['display']['layers']['GC_Content']
-    }
-    if(stateData['display']['layers']['Ruler']){
-      settings['display']['layers']['Ruler'] = stateData['display']['layers']['Ruler']
-    }
-    if(stateData['display']['layers']['Genome']){
-      settings['display']['layers']['Genome'] = stateData['display']['layers']['Genome']
-    }
   }
 
   if (stateData.hasOwnProperty('genome-spacing')){
@@ -281,6 +265,11 @@ function processState(stateName, stateData) {
     settings['display']['bookmarks'] = []
     respondToBookmarkSelect() // set listener for user bookmark selection
   }
+
+  $('#tbody_additionalDataLayers').html('') // clear div before reprocess
+  settings['group-layer-order'].map(layer => {
+    buildGroupLayersTable(layer)
+  })
 }
 
 function loadAll(loadType) {

From 601a490c85147799c427a42a0d8fbe449b6b4d6a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Oct 2021 16:32:21 +0000
Subject: [PATCH 0503/1020] read layer color/show values from state

---
 anvio/data/interactive/js/genomeview/ui.js | 16 +++++++++-------
 1 file changed, 9 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index c29cff0e5b..a027c3a171 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -313,29 +313,31 @@ function buildGenomesTable(genomes, order){
 
 function buildGroupLayersTable(layerLabel){
   let color;
+  let show = settings['display']['layers'][layerLabel]
 
-  if(layerLabel == 'GC_Content') color = '#9B9B9B' // TODO: replace hardcoded values w state data
-  if(layerLabel == 'Coverage') color = '#3D3D3D'
+  if(layerLabel == 'GC_Content') color = settings['display']['colors']['GC_Content'] // TODO: replace hardcoded values w state data
+  if(layerLabel == 'Coverage') color = settings['display']['colors']['coverage']
 
   if(layerLabel === 'Ruler' || layerLabel === 'Genome'){
     var template =  `<tr id=${layerLabel}>
                     <td><img src="images/drag.gif" class="drag-icon" id=${layerLabel} /></td>
                     <td> ${layerLabel} </td>
                     <td style="margin-left: 5px;"> n/a </td>
-                    <td><input type="checkbox" class="additional_selectors" id=${layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>
+                    <td><input type="checkbox" class="additional_selectors" id="${layerLabel}-show" onclick="toggleAdditionalDataLayer(event)" checked=${show}></input></td>
                     </tr>;`
   } else {
     var template =  `<tr id=${layerLabel}>
                      <td><img src="images/drag.gif" class="drag-icon" id=${layerLabel} /></td>
                      <td> ${layerLabel} </td>' +
                      <td><div id="${layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: ${color}" color=${color} background-color=${color} ></div></td>
-                     <td><input type="checkbox" class="additional_selectors" id=${layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>
+                     <td><input type="checkbox" class="additional_selectors" id="${layerLabel}-show" onclick="toggleAdditionalDataLayer(event)" checked=''></input></td>
                      </tr>;`
   }
-
   $('#tbody_additionalDataLayers').append(template);
   $("#tbody_additionalDataLayers").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).disableSelection();
 
+  $(`#${layerLabel}-show`).prop('checked', show) // needs to trigger after the template layer is appended to the DOM
+
   $("#tbody_additionalDataLayers").on("sortupdate", (event, ui) => {
     changeGroupLayersOrder($("#tbody_additionalDataLayers").sortable('toArray'))
   })
@@ -349,8 +351,8 @@ function buildGroupLayersTable(layerLabel){
         $(el).attr('color', '#' + hex);
 
         if(bySetColor){
-          if(layerLabel == 'Coverage') settings['additional-data-layers'][0]['coverage-color'] = `#${hex}`
-          if(layerLabel == 'GC_Content') settings['additional-data-layers'][0]['gcContent-color'] = `#${hex}`
+          if(layerLabel == 'Coverage') settings['display']['colors']['coverage'] = `#${hex}`
+          if(layerLabel == 'GC_Content') settings['display']['colors']['GC_Content'] = `#${hex}`
           drawer.draw()
         } else {
           $(el).val(hex);

From 3e8086df277a46fe95aba064cdd5d919496a74c1 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 23 Nov 2021 16:52:55 +0000
Subject: [PATCH 0504/1020] show me the settings dealie

---
 anvio/data/interactive/css/genomeview.css | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index cf66895da6..7cda2d2dd1 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -132,7 +132,7 @@ g.scale rect.background{
 }
 
 .toggle-panel-settings-pos {
-    right: 420px !important;
+    right: 530px !important;
 }
 
 #settings-panel .btn {

From 37213c06efeeee5d55c4757b526093ae9816583e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 23 Nov 2021 17:14:48 +0000
Subject: [PATCH 0505/1020] set/retrieve ADL color data from state

---
 anvio/data/interactive/js/genomeview/drawer.js |  6 +++---
 anvio/data/interactive/js/genomeview/ui.js     | 10 ++++++----
 2 files changed, 9 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 0de86f1fc7..6846275602 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -167,9 +167,9 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genom
     // if(layer == 'Coverage'){
     //   this.settings['display']['additional-data-layers']['coverage'] ? stroke = this.settings['display']['additional-data-layers']['coverage'] : stroke = 'black'
     // }
-    // if(layer == 'GC_content'){
-    //   this.settings['display']['additional-data-layers']['gc-content'] ? stroke = this.settings['display']['additional-data-layers']['gc-content'] : stroke = 'black'
-    // }
+    if(layer == 'GC_content'){ // we will need to refactor and get our variable case/formatting nonsense sorted.
+      this.settings['display']['colors']['GC_Content'] ? stroke = this.settings['display']['colors']['GC_Content'] : stroke = 'red'
+    }
 
     let maxDataLayerValue = 0
     let startingTop = marginTop + yOffset + layerPos
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index a027c3a171..c4e3cbaefa 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -349,10 +349,12 @@ function buildGroupLayersTable(layerLabel){
     onChange: function(hsb, hex, rgb, el, bySetColor) {
         $(el).css('background-color', '#' + hex);
         $(el).attr('color', '#' + hex);
-
-        if(bySetColor){
-          if(layerLabel == 'Coverage') settings['display']['colors']['coverage'] = `#${hex}`
-          if(layerLabel == 'GC_Content') settings['display']['colors']['GC_Content'] = `#${hex}`
+        if(layerLabel == 'Coverage' && settings['display']['colors']['coverage'] != `#${hex}`){
+          settings['display']['colors']['coverage'] = `#${hex}`
+          drawer.draw()
+        }
+        else if(layerLabel == 'GC_Content' && settings['display']['colors']['GC_Content'] != `#${hex}`){
+          settings['display']['colors']['GC_Content'] = `#${hex}`
           drawer.draw()
         } else {
           $(el).val(hex);

From 96fee0cf70cd275509873c561b5f97284ed52f3f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 13 Dec 2021 19:26:28 +0000
Subject: [PATCH 0506/1020] store/recall user-created gene labels in state

---
 anvio/data/interactive/js/genomeview/main.js | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 88bb5d2d5f..06f3801445 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -117,6 +117,7 @@ function loadAdditionalDataLayers(){
       settings['display'] = {}
       settings['display']['colors'] = {}
       settings['display']['layers'] = {}
+      settings['display']['labels'] = {}
       settings['display']['layers']['Ruler'] = true
       settings['display']['layers']['Genome'] = true
 
@@ -266,6 +267,10 @@ function processState(stateName, stateData) {
     respondToBookmarkSelect() // set listener for user bookmark selection
   }
 
+  if (stateData.hasOwnProperty('user-gene-labels')){
+    settings['display']['labels']['gene-labels'] = stateData['user-gene-labels']
+  }
+
   $('#tbody_additionalDataLayers').html('') // clear div before reprocess
   settings['group-layer-order'].map(layer => {
     buildGroupLayersTable(layer)

From a4d7ff6c4151bf0c8409cdbeb652e8a07d55b707 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 14 Dec 2021 17:11:54 +0000
Subject: [PATCH 0507/1020] gene ID labels editable, capture event

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 6846275602..9671729069 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -134,12 +134,16 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
         left: xDisps[genomeID]+(gene.start+50)*scaleFactor,
         scaleX: 0.5,
         scaleY: 0.5,
+        editable : true,
         hasControls: false,
         lockMovementX: true,
         lockMovementY: true,
         lockScaling: true,
         hoverCursor: 'text'
       });
+      label.on("editing:exited", function(e) {
+        console.log(label.text)
+      });
       if(this.settings['display']['arrow-style'] == 3) {
         label.set({
           top: geneLabelPos == "inside" ? y-5 : y-30,

From 5907e648b1380a8d1f65aca34845fadc585b1bdf Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 15 Dec 2021 16:12:50 +0000
Subject: [PATCH 0508/1020] UI select for gene label source

---
 anvio/data/interactive/genomeview.html | 14 +++++++++++++-
 1 file changed, 13 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index dcf777fdd8..8fdce2abc0 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -344,9 +344,21 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                               <td><div class="colorpicker" id="genome_label_color" color="#000000" style="background-color: #000000; margin-bottom: 10px"></div></td>
                             </tr>
                             <tr id="show_gene_labels">
-                              <td>Show gene labels</td>
+                              <td>Show gene labels:</td>
                               <td style="float: right"><div style="width: 20px;"><input id="show_gene_labels_box" type="checkbox" class="layer_selectors"></div></td>
                             </tr>
+                            <tr>
+                              <td>Gene label source:</td>
+                              <td><div class="col-md-8">
+                                <select id="gene_label_source" style="margin-bottom: 10px; margin-left: 0px" class="form-control input-xs">
+                                  <option value='default'>Default</option>
+                                  <option value='user'>User-Defined</option>
+                                  <option value='cog-function'>COG Function</option>
+                                  <option value='cog-category'>COG Category</option>
+                                  <option value='kegg'>Kegg</option>
+                                </select>
+                              </div></td>
+                            </tr>
                             <tr>
                               <td>Gene label size:</td>
                               <td><input type="text" class="form-control input-sm" id="gene_label" value="40" style="margin-bottom: 10px"></td>

From 127ecdcab36d1047c030da489538d567f610eecb Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 15 Dec 2021 16:17:59 +0000
Subject: [PATCH 0509/1020] minor fix

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index c4e3cbaefa..2d729b504c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -166,7 +166,7 @@ function setEventListeners(){
   });
   $('#gene_text_pos').on('change', function () {
     geneLabelPos = $(this).val();
-    if (!(geneLabelPos == "inside" && arrowStyle != 3)) drawer.draw();
+    if (!(geneLabelPos == "inside" && settings['display']['arrow-style'] != 3)) drawer.draw();
     $(this).blur();
   });
   $('#show_genome_labels_box').on('change', function () {

From e1bf80553ec794d932732085ae7fde80099fb86c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 15 Dec 2021 16:47:42 +0000
Subject: [PATCH 0510/1020] react to gene label source select change

---
 anvio/data/interactive/js/genomeview/ui.js | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 2d729b504c..4fd3643c29 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -175,6 +175,9 @@ function setEventListeners(){
     alignToGC = null;
     drawer.draw()
   });
+  $('#gene_label_source').on('change', function(){
+    drawer.draw()
+  })
   $('#show_gene_labels_box').on('change', function () {
     showGeneLabels = !showGeneLabels;
     drawer.draw()

From 82175c17e0c1dfe39e02c9dd9ad15e8c511a0ee0 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 15 Dec 2021 16:50:12 +0000
Subject: [PATCH 0511/1020] set gene label via source functionality

---
 .../data/interactive/js/genomeview/drawer.js  | 33 ++++++++++++++++---
 1 file changed, 29 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 9671729069..9893377c37 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -126,7 +126,7 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
     canvas.add(geneObj);
 
     if(showGeneLabels) {
-      var label = new fabric.IText("geneID: "+geneID, {
+      var label = new fabric.IText(setGeneLabelFromSource(geneID, genomeID), {
         id: 'geneLabel',
         groupID: genomeID,
         fontSize: geneLabelSize,
@@ -141,9 +141,6 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
         lockScaling: true,
         hoverCursor: 'text'
       });
-      label.on("editing:exited", function(e) {
-        console.log(label.text)
-      });
       if(this.settings['display']['arrow-style'] == 3) {
         label.set({
           top: geneLabelPos == "inside" ? y-5 : y-30,
@@ -155,8 +152,36 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
           selectionColor:'rgba(128,128,128,.2)'
         });
       }
+      label.on("editing:exited", function(e) {
+        console.log(label.text)
+      });
       canvas.add(label);
     }
+
+    function setGeneLabelFromSource(geneID, genomeID){
+      let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == genomeID)
+      // console.log(genomeOfInterest[0][1]['genes']['functions'][geneID])
+
+      if($('#gene_label_source').val() == 'default'){
+        return `geneID: ${geneID}`
+      }
+      if($('#gene_label_source').val() == 'cog-function'){
+        if(!genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_FUNCTION']){
+          return 'None'
+        } else {
+          return genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_FUNCTION'][1]
+        }
+      }
+      if($('#gene_label_source').val() == 'cog-category'){
+        if(!genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_CATEGORY']){
+          return 'None'
+        } else {
+          return genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_CATEGORY'][1]
+        }
+      }
+
+      return `whoops ${geneID}`
+    }
   }
 }
 /*

From 2194244179d6bebac7969576cab812119f176a72 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 15 Dec 2021 19:58:07 +0000
Subject: [PATCH 0512/1020] refactor to catch null/undefined values

---
 anvio/data/interactive/js/genomeview/drawer.js | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 9893377c37..8be17070d4 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -166,17 +166,17 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
         return `geneID: ${geneID}`
       }
       if($('#gene_label_source').val() == 'cog-function'){
-        if(!genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_FUNCTION']){
-          return 'None'
-        } else {
+        if(genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty('COG_FUNCTION') && genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_FUNCTION']){
           return genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_FUNCTION'][1]
+        } else {
+          return 'None'
         }
       }
       if($('#gene_label_source').val() == 'cog-category'){
-        if(!genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_CATEGORY']){
-          return 'None'
-        } else {
+        if(genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty('COG_CATEGORY') && genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_CATEGORY']){
           return genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_CATEGORY'][1]
+        } else {
+          return 'None'
         }
       }
 

From 0baa8cec2a61b77d9db6102eab8a09a000b2873a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 15 Dec 2021 20:03:24 +0000
Subject: [PATCH 0513/1020] add eggnog to gene label source

---
 anvio/data/interactive/genomeview.html         | 1 +
 anvio/data/interactive/js/genomeview/drawer.js | 7 +++++++
 2 files changed, 8 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 8fdce2abc0..4eb9030084 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -356,6 +356,7 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                                   <option value='cog-function'>COG Function</option>
                                   <option value='cog-category'>COG Category</option>
                                   <option value='kegg'>Kegg</option>
+                                  <option value='eggnog'>Eggnog</option>
                                 </select>
                               </div></td>
                             </tr>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 8be17070d4..21fff05d84 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -179,6 +179,13 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
           return 'None'
         }
       }
+      if($('#gene_label_source').val() == 'eggnog'){
+        if(genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty('EGGNOG_BACT') && genomeOfInterest[0][1]['genes']['functions'][geneID]['EGGNOG_BACT']){
+          return genomeOfInterest[0][1]['genes']['functions'][geneID]['EGGNOG_BACT'][1]
+        } else {
+          return 'None'
+        }
+      }
 
       return `whoops ${geneID}`
     }

From 908fbdf5ce791aea3f5d37155075cbcc8a12b80c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 15 Dec 2021 21:35:54 +0000
Subject: [PATCH 0514/1020] wireframe user-generated gene label source

---
 anvio/data/interactive/js/genomeview/drawer.js | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 21fff05d84..fc06aaf79d 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -186,6 +186,13 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
           return 'None'
         }
       }
+      if($('#gene_label_source').val() == 'user'){
+        if(this.settings['display']?.hasOwnProperty('gene-labels')){
+          return this.settings['display']['gene-labels'][genomeID][geneID]
+        } else {
+          return 'None'
+        }
+      }
 
       return `whoops ${geneID}`
     }

From b3c6ad8695e804c0a5ab65b91540d460d31e1980 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 16 Dec 2021 16:44:05 +0000
Subject: [PATCH 0515/1020] gene arror objs contain functions data

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index fc06aaf79d..260a93760e 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -376,6 +376,7 @@ GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
     hasBorders: false,
     lockScaling: true,
     gene: gene,
+    functions: functions,
     geneID: geneID,
     genomeID: genomeID,
     top: style == 3 ? y-17 : y-11, // TODO update this offset to reflect genome layer height (we want to render this arrow in the middle of its allocated height)

From 63b15565b6109b16ea035e8ed748470b7ba70ca0 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 16 Dec 2021 16:44:32 +0000
Subject: [PATCH 0516/1020] refactor tooltip to mirror inspect page tooltip

---
 anvio/data/interactive/css/genomeview.css  |  8 ++--
 anvio/data/interactive/js/genomeview/ui.js | 55 ++++++++++++++--------
 2 files changed, 39 insertions(+), 24 deletions(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index 7cda2d2dd1..4f6a82805a 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -49,13 +49,11 @@ g.scale rect.background{
 }
 
 #tooltip-body{
-    height: 300px;
-    width: 300px;
-    background-color: lavenderblush;
-    opacity: 85%;
+    background-color: white;
+    opacity: 100%;
     border-style: solid;
     border-width: 3px;
-    border-radius: 15px;
+    padding : 10px;
 }
 
 
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 4fd3643c29..046af4710d 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -250,26 +250,43 @@ function setEventListeners(){
 }
 
 function showToolTip(event){
+  console.log(event.target)
   $('#tooltip-body').show().append(`
-    <p></p>
-    <style type="text/css">
-      .tftable {font-size:12px;color:#333333;width:100%;border-width: 1px;border-color: #729ea5;border-collapse: collapse;}
-      .tftable th {font-size:12px;background-color:#acc8cc;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;text-align:left;}
-      .tftable tr {background-color:#d4e3e5;}
-      .tftable td {font-size:12px;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;}
-      .tftable tr:hover {background-color:#ffffff;}
-    </style>
-
-    <table class="tftable" border="1">
-      <tr><th>Data</th><th>Value</th></tr>
-      <tr><td>Split</td><td>${event.target.gene.contig}</td></tr>
-      <tr><td>Start in Contig</td><td>${event.target.gene.start}</td></tr>
-      <tr><td>Length</td><td>${event.target.gene.stop - event.target.gene.start}</td></tr>
-      <tr><td>Gene Callers ID</td><td>${event.target.geneID}</td></tr>
-      <tr><td>Gene Cluster</td><td>${genomeData.gene_associations["anvio-pangenome"] ? genomeData.gene_associations["anvio-pangenome"]["genome-and-gene-names-to-gene-clusters"][event.target.genomeID][event.target.geneID] : "None"}</td></tr>
-    </table>
-    <button>some action</button>
-    <button>some other action</button>
+    <span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
+    <h2>Gene Call</h2>
+    <table class="table table-striped" style="width: 100%; text-align: center;">
+    <thead><th>ID</th><th>Source</th><th>Length</th><th>Direction</th><th>Start</th><th>Stop</th><th>Call type</th><th>Complete</th><th>% in split</th></thead>
+    <tbody>
+    <tr><td>  ${event.target.geneID}
+    </td><td> ${event.target.gene?.source}
+    </td><td> ${event.target.gene.stop - event.target.gene.start}
+    </td><td> ${event.target.gene.direction}
+    </td><td> ${event.target.gene.start}
+    </td><td> ${event.target.gene.stop}
+    </td><td> ${event.target.gene?.call_type}
+    </td><td> ${event.target.gene?.complete_gene_call}
+    </td><td> ${event.target.gene?.percentage_in_split?.toFixed(2) + '%'}
+    </td></tr></tbody></table>;
+
+    <h2>Annotations</h2>;
+    <table class="table table-striped">;
+    <thead><th>Source</th>;
+    <th>Accession</th>;
+    <th>Annotation</th></thead>;
+    <tbody>;
+    <tr>
+    <td>COG-Category</td>
+    <td>idk</td>
+    <td>${event.target.functions?.COG_CATEGORY[1]}<td/>
+    </tr>
+    <tr>
+    <td>COG-Function</td>
+    <td>idk</td>
+    <td>${event.target.functions?.COG_FUNCTION[1]}<td/>
+    </tr>
+    <td>EGGNOG</td>
+    <td>idk</td>
+    <td>${event.target.functions?.EGGNOG_BACT[1]}<td/>
   `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
 }
 

From 1661c02113e9b6afe21a9651b7fa7ab8ea4c70e2 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 17 Dec 2021 15:23:47 +0000
Subject: [PATCH 0517/1020] add ellipsis to gene labels like a boss ;)

---
 anvio/data/interactive/js/genomeview/drawer.js | 14 +++++++++++---
 1 file changed, 11 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 260a93760e..ac20da67cf 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -167,21 +167,21 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
       }
       if($('#gene_label_source').val() == 'cog-function'){
         if(genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty('COG_FUNCTION') && genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_FUNCTION']){
-          return genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_FUNCTION'][1]
+          return ellipsisMachine(genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_FUNCTION'][1])
         } else {
           return 'None'
         }
       }
       if($('#gene_label_source').val() == 'cog-category'){
         if(genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty('COG_CATEGORY') && genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_CATEGORY']){
-          return genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_CATEGORY'][1]
+          return ellipsisMachine(genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_CATEGORY'][1])
         } else {
           return 'None'
         }
       }
       if($('#gene_label_source').val() == 'eggnog'){
         if(genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty('EGGNOG_BACT') && genomeOfInterest[0][1]['genes']['functions'][geneID]['EGGNOG_BACT']){
-          return genomeOfInterest[0][1]['genes']['functions'][geneID]['EGGNOG_BACT'][1]
+          return ellipsisMachine(genomeOfInterest[0][1]['genes']['functions'][geneID]['EGGNOG_BACT'][1])
         } else {
           return 'None'
         }
@@ -196,6 +196,14 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
 
       return `whoops ${geneID}`
     }
+
+    function ellipsisMachine(string){ // add ellipsis only to truncated gene label values
+      if(string.substring(0,20).length == 20){
+        return `${string.substring(0,20)}...`
+      } else {
+        return string
+      }
+    }
   }
 }
 /*

From 930e81ba95b101a59bf79a4db4a8b2aabb1ec838 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 17 Dec 2021 15:27:04 +0000
Subject: [PATCH 0518/1020] UI element to link gene label/color source

---
 anvio/data/interactive/genomeview.html | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 4eb9030084..51ab7b40d1 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -347,6 +347,10 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                               <td>Show gene labels:</td>
                               <td style="float: right"><div style="width: 20px;"><input id="show_gene_labels_box" type="checkbox" class="layer_selectors"></div></td>
                             </tr>
+                            <tr id="link_gene_label_color_source">
+                              <td>Link gene label/color source:</td>
+                              <td style="float: right"><div style="width: 20px;"><input id="link_gene_label_color_source_box" type="checkbox" class="layer_selectors"></div></td>
+                            </tr>
                             <tr>
                               <td>Gene label source:</td>
                               <td><div class="col-md-8">

From 1766d1a0d6a07218bda131b3908f7b216d501cf7 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 17 Dec 2021 16:25:44 +0000
Subject: [PATCH 0519/1020] deepdive element

---
 anvio/data/interactive/genomeview.html | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 51ab7b40d1..9ef24dee15 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -70,6 +70,7 @@
               <p id='bookmark-description' style= "width: 300px; float:left; margin-left:10px; font-size: large;"></p>
             </div>
             <div id='tooltip-body' display='none'></div>
+            <div id='deepdive-tooltip-body' display='none'></div>
 
             <div id="toggle-panel-settings" onclick="toggleSettingsPanel()">
               <span id="toggle-panel-settings-inner">&#9664;</span><span style="display: block; font-size: 11px; transform: rotate(90deg);"><u>S</u>ETTINGS</span>

From 056b049e459ad7cffb597728297a8da5d14e6492 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 17 Dec 2021 16:25:57 +0000
Subject: [PATCH 0520/1020] respond to gene-arrow click with deepdive tooltip

---
 anvio/data/interactive/js/genomeview/ui.js | 15 ++++++++++++++-
 1 file changed, 14 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 046af4710d..d47086127f 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -247,10 +247,23 @@ function setEventListeners(){
   canvas.on('mouse:out', (event) => {
     $('#tooltip-body').html('').hide()
   })
+
+  canvas.on('mouse:down', (event) => {
+    if(event.target && event.target.id === 'arrow'){
+      showDeepDiveToolTip(event)
+    }
+  })
+}
+function showDeepDiveToolTip(event){
+  $('#tooltip-body').html('').hide() // if ephemeral tooltip was up, remove it
+
+  $('#deepdive-tooltip-body').show().append(`
+  <span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
+  <h1>hey everyone</>
+  `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
 }
 
 function showToolTip(event){
-  console.log(event.target)
   $('#tooltip-body').show().append(`
     <span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
     <h2>Gene Call</h2>

From ece4d48457a58102c4b8deb46163adf048cccc03 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 17 Dec 2021 17:09:00 +0000
Subject: [PATCH 0521/1020] unused ruleset

---
 anvio/data/interactive/css/genomeview.css | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index 4f6a82805a..a32572155f 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -8,9 +8,6 @@
     touch-action: none;
 }
 
-#myCanvas {
-}
-
 svg {
     font-family: 'Lato', Arial, serif;
     font-size: 10px;
@@ -55,6 +52,13 @@ g.scale rect.background{
     border-width: 3px;
     padding : 10px;
 }
+#deepdive-tooltip-body{
+    background-color: white;
+    opacity: 100%;
+    border-style: solid;
+    border-width: 3px;
+    padding : 10px;
+}
 
 
 #toggle-panel-settings {

From d506b95e48b35535abc95d7bfe5b2efb6cf0434e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 17 Dec 2021 17:09:16 +0000
Subject: [PATCH 0522/1020] build out deepdive tooltip

---
 anvio/data/interactive/js/genomeview/ui.js | 46 +++++++++++++++++++++-
 1 file changed, 44 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index d47086127f..6763b03956 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -224,7 +224,8 @@ function setEventListeners(){
   $('#brush_start').val(0);
   $('#brush_end').val(Math.floor(canvas.getWidth()));
 
-  $('#tooltip-body').hide() // set initual tooltip hide value
+  $('#deepdive-tooltip-body').hide() // set initual tooltip hide value
+  $('#tooltip-body').hide()
   $('#show_genome_labels_box').attr("checked", showLabels);
   $('#show_gene_labels_box').attr("checked", showGeneLabels);
   $('#show_dynamic_scale_box').attr("checked", dynamicScaleInterval);
@@ -259,7 +260,48 @@ function showDeepDiveToolTip(event){
 
   $('#deepdive-tooltip-body').show().append(`
   <span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
-  <h1>hey everyone</>
+  <h2>Gene Call</h2>
+  <table class="table table-striped" style="width: 100%; text-align: center;">
+  <thead><th>ID</th><th>Source</th><th>Length</th><th>Direction</th><th>Start</th><th>Stop</th><th>Call type</th><th>Complete</th><th>% in split</th></thead>
+  <tbody>
+  <tr><td>  ${event.target.geneID}
+  </td><td> ${event.target.gene?.source}
+  </td><td> ${event.target.gene.stop - event.target.gene.start}
+  </td><td> ${event.target.gene.direction}
+  </td><td> ${event.target.gene.start}
+  </td><td> ${event.target.gene.stop}
+  </td><td> ${event.target.gene?.call_type}
+  </td><td> ${event.target.gene?.complete_gene_call}
+  </td><td> ${event.target.gene?.percentage_in_split?.toFixed(2) + '%'}
+  </td></tr></tbody></table>;
+
+  <button type="button" class="btn btn-default btn-sm" onClick="show_sequence(${event.target.gene.gene_callers_id});">DNA</button>
+  <button type="button" class="btn btn-default btn-sm" onClick="show_aa_sequence(${event.target.gene.gene_callers_id});">AA</button>
+  <button type="button" class="btn btn-default btn-sm" onClick="get_sequence_and_blast(${event.target.gene.gene_callers_id}, \'blastx\', \'nr\', \'gene\');">blastx @ nr</button>
+  <button type="button" class="btn btn-default btn-sm" onClick="get_sequence_and_blast(${event.target.gene.gene_callers_id}, \'blastx\', \'refseq_genomic\', \'gene\');">blastx @ refseq_genomic</button>
+
+
+  <h2>Annotations</h2>;
+  <table class="table table-striped">;
+  <thead><th>Source</th>;
+  <th>Accession</th>;
+  <th>Annotation</th></thead>;
+  <tbody>;
+  <tr>
+  <td>COG-Category</td>
+  <td>idk</td>
+  <td>${event.target.functions?.COG_CATEGORY[1]}<td/>
+  </tr>
+  <tr>
+  <td>COG-Function</td>
+  <td>idk</td>
+  <td>${event.target.functions?.COG_FUNCTION[1]}<td/>
+  </tr>
+  <td>EGGNOG</td>
+  <td>idk</td>
+  <>${event.target.functions?.EGGNOG_BACT[1]}<td/>
+  </tr></tbody></table>;
+  <button type="button" class="btn btn-default btn-sm" onClick="$('#deepdive-tooltip-body').html('').hide()">close</>
   `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
 }
 

From 8d1be3cd614102480a62db04caf7e2da93a3433c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 20 Dec 2021 16:41:32 +0000
Subject: [PATCH 0523/1020] global var for locking gene label/color source

---
 anvio/data/interactive/js/genomeview/main.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 06f3801445..c6871c4ebe 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -46,6 +46,7 @@ var scaleInterval = 100; // nt scale intervals
 var adlPtsPerLayer = 10000; // number of data points to be subsampled per ADL. TODO: more meaningful default?
 var showLabels = true; // show genome labels?
 var showGeneLabels = true; // show gene labels?
+var link_gene_label_color_source = false // by default, allow users to display different gene arrow color / gene label source
 var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
 var percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
 var geneLabelPos = "above"; // gene label position; one of "above", "slanted", "inside"

From aca0c40ad1e4b58bc2e25a82fb2c60d2cb65cbb3 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 20 Dec 2021 16:41:53 +0000
Subject: [PATCH 0524/1020] checkbox hooked in

---
 anvio/data/interactive/js/genomeview/ui.js | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 6763b03956..03c40af06c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -182,6 +182,10 @@ function setEventListeners(){
     showGeneLabels = !showGeneLabels;
     drawer.draw()
   });
+  $('#link_gene_label_color_source').on('change', function(){
+    link_gene_label_color_source = !link_gene_label_color_source;
+    drawer.draw()
+  })
   $('#show_only_cags_in_window').on('change', function () {
     filter_gene_colors_to_window = !filter_gene_colors_to_window;
     generateColorTable(null, color_db);

From 71a0af6afde79472b6a55b84755dd0f74f7706ba Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 20 Dec 2021 16:58:54 +0000
Subject: [PATCH 0525/1020] match values to existing arrow source vals

---
 anvio/data/interactive/genomeview.html | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 9ef24dee15..26856055a2 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -358,10 +358,10 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                                 <select id="gene_label_source" style="margin-bottom: 10px; margin-left: 0px" class="form-control input-xs">
                                   <option value='default'>Default</option>
                                   <option value='user'>User-Defined</option>
-                                  <option value='cog-function'>COG Function</option>
-                                  <option value='cog-category'>COG Category</option>
+                                  <option value='COG_FUNCTION'>COG Function</option>
+                                  <option value='COG_CATEGORY'>COG Category</option>
                                   <option value='kegg'>Kegg</option>
-                                  <option value='eggnog'>Eggnog</option>
+                                  <option value='EGGNOG_BACT'>Eggnog</option>
                                 </select>
                               </div></td>
                             </tr>

From e15507879257142cbb0294592b53482a077b1f86 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 20 Dec 2021 16:59:24 +0000
Subject: [PATCH 0526/1020] reflect adjusted var naming convention

---
 anvio/data/interactive/js/genomeview/drawer.js | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index ac20da67cf..c40e195946 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -165,21 +165,21 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
       if($('#gene_label_source').val() == 'default'){
         return `geneID: ${geneID}`
       }
-      if($('#gene_label_source').val() == 'cog-function'){
+      if($('#gene_label_source').val() == 'COG_FUNCTION'){
         if(genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty('COG_FUNCTION') && genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_FUNCTION']){
           return ellipsisMachine(genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_FUNCTION'][1])
         } else {
           return 'None'
         }
       }
-      if($('#gene_label_source').val() == 'cog-category'){
+      if($('#gene_label_source').val() == 'COG_CATEGORY'){
         if(genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty('COG_CATEGORY') && genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_CATEGORY']){
           return ellipsisMachine(genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_CATEGORY'][1])
         } else {
           return 'None'
         }
       }
-      if($('#gene_label_source').val() == 'eggnog'){
+      if($('#gene_label_source').val() == 'EGGNOG_BACT'){
         if(genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty('EGGNOG_BACT') && genomeOfInterest[0][1]['genes']['functions'][geneID]['EGGNOG_BACT']){
           return ellipsisMachine(genomeOfInterest[0][1]['genes']['functions'][geneID]['EGGNOG_BACT'][1])
         } else {

From 813a09ddcf5fd9bad5e016385c6d89a6c04dc26c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 20 Dec 2021 16:59:42 +0000
Subject: [PATCH 0527/1020] link functionality

---
 anvio/data/interactive/js/genomeview/ui.js | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 03c40af06c..f5ffd67461 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -155,6 +155,11 @@ function setEventListeners(){
   $('#gene_color_order').on('change', function () {
     color_db = $(this).val();
     generateColorTable(null, color_db); // TODO: include highlight_genes, fn_colors etc from state
+
+    if(link_gene_label_color_source){
+      $('#gene_label_source').val($(this).val())
+    }
+
     drawer.draw()
     $(this).blur();
   });
@@ -176,6 +181,11 @@ function setEventListeners(){
     drawer.draw()
   });
   $('#gene_label_source').on('change', function(){
+    if(link_gene_label_color_source){
+      color_db = $(this).val();
+      $('#gene_color_order').val($(this).val())
+      generateColorTable(null, color_db)
+    }
     drawer.draw()
   })
   $('#show_gene_labels_box').on('change', function () {

From b6b6da64d0a06c8531234b4bece6eda01d7ff956 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 21 Dec 2021 17:43:37 +0000
Subject: [PATCH 0528/1020] import sequence modal functionality, refactor
 arguments

---
 anvio/data/interactive/js/genomeview/ui.js | 39 +++++++++++++++++++---
 1 file changed, 34 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index f5ffd67461..0ba2d7354a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -270,8 +270,9 @@ function setEventListeners(){
   })
 }
 function showDeepDiveToolTip(event){
+  let gene_dna_sequence = this.settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence']
+  console.log(gene_dna_sequence)
   $('#tooltip-body').html('').hide() // if ephemeral tooltip was up, remove it
-
   $('#deepdive-tooltip-body').show().append(`
   <span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
   <h2>Gene Call</h2>
@@ -289,10 +290,10 @@ function showDeepDiveToolTip(event){
   </td><td> ${event.target.gene?.percentage_in_split?.toFixed(2) + '%'}
   </td></tr></tbody></table>;
 
-  <button type="button" class="btn btn-default btn-sm" onClick="show_sequence(${event.target.gene.gene_callers_id});">DNA</button>
-  <button type="button" class="btn btn-default btn-sm" onClick="show_aa_sequence(${event.target.gene.gene_callers_id});">AA</button>
-  <button type="button" class="btn btn-default btn-sm" onClick="get_sequence_and_blast(${event.target.gene.gene_callers_id}, \'blastx\', \'nr\', \'gene\');">blastx @ nr</button>
-  <button type="button" class="btn btn-default btn-sm" onClick="get_sequence_and_blast(${event.target.gene.gene_callers_id}, \'blastx\', \'refseq_genomic\', \'gene\');">blastx @ refseq_genomic</button>
+  <button type="button" class="btn btn-default btn-sm" onClick="show_sequence_modal(${gene_dna_sequence})">DNA</button>
+  <button type="button" class="btn btn-default btn-sm" onClick="show_aa_sequence(${event.target.geneID});">AA</button>
+  <button type="button" class="btn btn-default btn-sm" onClick="get_sequence_and_blast(${event.target.geneID}, \'blastx\', \'nr\', \'gene\');">blastx @ nr</button>
+  <button type="button" class="btn btn-default btn-sm" onClick="get_sequence_and_blast(${event.target.geneID}, \'blastx\', \'refseq_genomic\', \'gene\');">blastx @ refseq_genomic</button>
 
 
   <h2>Annotations</h2>;
@@ -359,6 +360,34 @@ function showToolTip(event){
   `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
 }
 
+function show_sequence_modal(content) {
+  // remove previous modal window
+  console.log(content)
+  // $('.modal-sequence').modal('hide');
+  // $('.modal-sequence').remove();
+
+  // $('body').append('<div class="modal modal-sequence" style="z-index: 10000;"> \
+  //     <div class="modal-dialog"> \
+  //         <div class="modal-content"> \
+  //             <div class="modal-header"> \
+  //                 <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button> \
+  //                 <h4 class="modal-title">' + title + '</h4> \
+  //             </div> \
+  //             <div class="modal-body"> \
+  //                     <textarea class="form-control" style="width: 100%; height: 100%; font-family: monospace;" rows="16" onclick="$(this).select();" readonly>' + (content.startsWith('>') ? content : '>' + content) + '</textarea> \
+  //             </div> \
+  //             <div class="modal-footer"> \
+  //                 <button class="btn btn-default" data-dismiss="modal" type="button">Close</button> \
+  //             </div> \
+  //         </div> \
+  //     </div> \
+  // </div>');
+  // $('.modal-sequence').modal('show');
+  // $('.modal-sequence textarea').trigger('click');
+}
+
+
+
 function toggleSettingsPanel() {
   $('#settings-panel').toggle();
 

From 5fc3ee5904239d6931416e58360f3b46ddbbbbf4 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 21 Dec 2021 20:22:56 +0000
Subject: [PATCH 0529/1020] friendship ended with inline jquery event triggers
 >:-(

---
 anvio/data/interactive/js/genomeview/ui.js | 61 ++++++++++++----------
 1 file changed, 33 insertions(+), 28 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 0ba2d7354a..62b943e5d8 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -270,8 +270,6 @@ function setEventListeners(){
   })
 }
 function showDeepDiveToolTip(event){
-  let gene_dna_sequence = this.settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence']
-  console.log(gene_dna_sequence)
   $('#tooltip-body').html('').hide() // if ephemeral tooltip was up, remove it
   $('#deepdive-tooltip-body').show().append(`
   <span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
@@ -290,8 +288,8 @@ function showDeepDiveToolTip(event){
   </td><td> ${event.target.gene?.percentage_in_split?.toFixed(2) + '%'}
   </td></tr></tbody></table>;
 
-  <button type="button" class="btn btn-default btn-sm" onClick="show_sequence_modal(${gene_dna_sequence})">DNA</button>
-  <button type="button" class="btn btn-default btn-sm" onClick="show_aa_sequence(${event.target.geneID});">AA</button>
+  <button type="button" id="gene-dna-sequence-button"class="btn btn-default btn-sm" >DNA</button>
+  <button type="button" id="gene-aa-sequence-button" class="btn btn-default btn-sm" >AA</button>
   <button type="button" class="btn btn-default btn-sm" onClick="get_sequence_and_blast(${event.target.geneID}, \'blastx\', \'nr\', \'gene\');">blastx @ nr</button>
   <button type="button" class="btn btn-default btn-sm" onClick="get_sequence_and_blast(${event.target.geneID}, \'blastx\', \'refseq_genomic\', \'gene\');">blastx @ refseq_genomic</button>
 
@@ -318,6 +316,14 @@ function showDeepDiveToolTip(event){
   </tr></tbody></table>;
   <button type="button" class="btn btn-default btn-sm" onClick="$('#deepdive-tooltip-body').html('').hide()">close</>
   `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
+
+  $('#gene-dna-sequence-button').on('click', function(){
+    show_sequence_modal('DNA Sequence', settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence'])
+  })
+
+  $('#gene-aa-sequence-button').on('click', function(){
+    show_sequence_modal('AA Sequence', settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['aa'][event.target.geneID]['sequence'])
+  })
 }
 
 function showToolTip(event){
@@ -360,30 +366,29 @@ function showToolTip(event){
   `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
 }
 
-function show_sequence_modal(content) {
-  // remove previous modal window
-  console.log(content)
-  // $('.modal-sequence').modal('hide');
-  // $('.modal-sequence').remove();
-
-  // $('body').append('<div class="modal modal-sequence" style="z-index: 10000;"> \
-  //     <div class="modal-dialog"> \
-  //         <div class="modal-content"> \
-  //             <div class="modal-header"> \
-  //                 <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button> \
-  //                 <h4 class="modal-title">' + title + '</h4> \
-  //             </div> \
-  //             <div class="modal-body"> \
-  //                     <textarea class="form-control" style="width: 100%; height: 100%; font-family: monospace;" rows="16" onclick="$(this).select();" readonly>' + (content.startsWith('>') ? content : '>' + content) + '</textarea> \
-  //             </div> \
-  //             <div class="modal-footer"> \
-  //                 <button class="btn btn-default" data-dismiss="modal" type="button">Close</button> \
-  //             </div> \
-  //         </div> \
-  //     </div> \
-  // </div>');
-  // $('.modal-sequence').modal('show');
-  // $('.modal-sequence textarea').trigger('click');
+function show_sequence_modal(title, content) {
+ // remove previous modal window
+  $('.modal-sequence').modal('hide');
+  $('.modal-sequence').remove();
+
+  $('body').append('<div class="modal modal-sequence" style="z-index: 10000;"> \
+      <div class="modal-dialog"> \
+          <div class="modal-content"> \
+              <div class="modal-header"> \
+                  <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button> \
+                  <h4 class="modal-title">' + title + '</h4> \
+              </div> \
+              <div class="modal-body"> \
+                      <textarea class="form-control" style="width: 100%; height: 100%; font-family: monospace;" rows="16" onclick="$(this).select();" readonly>' + (content.startsWith('>') ? content : '>' + content) + '</textarea> \
+              </div> \
+              <div class="modal-footer"> \
+                  <button class="btn btn-default" data-dismiss="modal" type="button">Close</button> \
+              </div> \
+          </div> \
+      </div> \
+  </div>');
+  $('.modal-sequence').modal('show');
+  $('.modal-sequence textarea').trigger('click');
 }
 
 

From d620b2d99b72c0c9b15940e92ba1c5c171a14d64 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 21 Dec 2021 20:54:47 +0000
Subject: [PATCH 0530/1020] blastoff

---
 anvio/data/interactive/js/genomeview/ui.js | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 62b943e5d8..51f8c58100 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -290,7 +290,7 @@ function showDeepDiveToolTip(event){
 
   <button type="button" id="gene-dna-sequence-button"class="btn btn-default btn-sm" >DNA</button>
   <button type="button" id="gene-aa-sequence-button" class="btn btn-default btn-sm" >AA</button>
-  <button type="button" class="btn btn-default btn-sm" onClick="get_sequence_and_blast(${event.target.geneID}, \'blastx\', \'nr\', \'gene\');">blastx @ nr</button>
+  <button type="button" id="gene-blastx-at-nr-button"class="btn btn-default btn-sm" >blastx @ nr</button>
   <button type="button" class="btn btn-default btn-sm" onClick="get_sequence_and_blast(${event.target.geneID}, \'blastx\', \'refseq_genomic\', \'gene\');">blastx @ refseq_genomic</button>
 
 
@@ -324,6 +324,12 @@ function showDeepDiveToolTip(event){
   $('#gene-aa-sequence-button').on('click', function(){
     show_sequence_modal('AA Sequence', settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['aa'][event.target.geneID]['sequence'])
   })
+
+  $('#gene-blastx-at-nr-button').on('click', function(){
+    let sequence = settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence']
+    let sequenceConcat = '>' + 'dna' + '\n' + sequence
+    fire_up_ncbi_blast(sequenceConcat, 'blastx', 'nr', 'gene')
+  })
 }
 
 function showToolTip(event){

From ebb3df66711fe66f41966755fd4715c4a29750c1 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 22 Dec 2021 20:54:37 +0000
Subject: [PATCH 0531/1020] fix!

---
 anvio/data/interactive/js/genomeview/ui.js | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 51f8c58100..d5cf926c58 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -270,7 +270,9 @@ function setEventListeners(){
   })
 }
 function showDeepDiveToolTip(event){
-  $('#tooltip-body').html('').hide() // if ephemeral tooltip was up, remove it
+  $('#tooltip-body').html('').hide() // empty out & hide any previous tooltip instances 
+  $('#deepdive-tooltip-body').html('').hide()
+
   $('#deepdive-tooltip-body').show().append(`
   <span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
   <h2>Gene Call</h2>

From 80ab4ad5f9da097a66628e158ceb7d0f736874f9 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 22 Dec 2021 21:19:00 +0000
Subject: [PATCH 0532/1020] blastoff take 2!

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index d5cf926c58..0bfb7a1c46 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -329,7 +329,7 @@ function showDeepDiveToolTip(event){
 
   $('#gene-blastx-at-nr-button').on('click', function(){
     let sequence = settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence']
-    let sequenceConcat = '>' + 'dna' + '\n' + sequence
+    let sequenceConcat = '>' + 'DNA_SEQUENCE' + '\n' + sequence
     fire_up_ncbi_blast(sequenceConcat, 'blastx', 'nr', 'gene')
   })
 }

From 4a3d057fef0f0367cc73e9eafc98dc05a7330aac Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 22 Dec 2021 21:48:12 +0000
Subject: [PATCH 0533/1020] blastx @ refseq_genomic functionality

---
 anvio/data/interactive/js/genomeview/ui.js | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 0bfb7a1c46..2468466059 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -293,7 +293,7 @@ function showDeepDiveToolTip(event){
   <button type="button" id="gene-dna-sequence-button"class="btn btn-default btn-sm" >DNA</button>
   <button type="button" id="gene-aa-sequence-button" class="btn btn-default btn-sm" >AA</button>
   <button type="button" id="gene-blastx-at-nr-button"class="btn btn-default btn-sm" >blastx @ nr</button>
-  <button type="button" class="btn btn-default btn-sm" onClick="get_sequence_and_blast(${event.target.geneID}, \'blastx\', \'refseq_genomic\', \'gene\');">blastx @ refseq_genomic</button>
+  <button type="button" id="gene-blastx-at-refseq-button" class="btn btn-default btn-sm">blastx @ refseq_genomic</button>
 
 
   <h2>Annotations</h2>;
@@ -332,6 +332,12 @@ function showDeepDiveToolTip(event){
     let sequenceConcat = '>' + 'DNA_SEQUENCE' + '\n' + sequence
     fire_up_ncbi_blast(sequenceConcat, 'blastx', 'nr', 'gene')
   })
+
+  $('#gene-blastx-at-refseq-button').on('click', function(){
+    let sequence = settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence']
+    let sequenceConcat = '>' + 'DNA_SEQUENCE' + '\n' + sequence
+    fire_up_ncbi_blast(sequenceConcat, 'blastx', 'refseq_genomic', 'gene')
+  })
 }
 
 function showToolTip(event){

From ae3f8dedf4316c59214ee827c1631c7c14073ebc Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 23 Dec 2021 02:07:20 -0600
Subject: [PATCH 0534/1020] dragbox-activated "lasso" menu to edit multiple
 genes at once

---
 anvio/data/interactive/genomeview.html     |   1 +
 anvio/data/interactive/js/genomeview/ui.js |  67 ++++++++++++++++++++-
 anvio/tests/genome-view.db                 | Bin 0 -> 12288 bytes
 3 files changed, 67 insertions(+), 1 deletion(-)
 create mode 100644 anvio/tests/genome-view.db

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 26856055a2..8c926a7d40 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -71,6 +71,7 @@
             </div>
             <div id='tooltip-body' display='none'></div>
             <div id='deepdive-tooltip-body' display='none'></div>
+            <div id='lasso-menu-body' display='none'></div>
 
             <div id="toggle-panel-settings" onclick="toggleSettingsPanel()">
               <span id="toggle-panel-settings-inner">&#9664;</span><span style="display: block; font-size: 11px; transform: rotate(90deg);"><u>S</u>ETTINGS</span>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 2468466059..9f64eb6168 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -246,8 +246,15 @@ function setEventListeners(){
 
   // can either set arrow click listener on the canvas to check for all arrows, or when arrow is created.
 
-  // disable group selection
+  // drag box selection
   canvas.on('selection:created', (e) => {
+    let selected_genes = e.selected.filter(obj => obj.id == 'arrow');
+
+    if(selected_genes.length > 0) {
+      showLassoMenu(selected_genes, e.e.clientX, e.e.clientY);
+    }
+
+    // disable group selection
     if (e.target.type === 'activeSelection') {
       canvas.discardActiveObject();
     }
@@ -405,6 +412,64 @@ function show_sequence_modal(title, content) {
   $('.modal-sequence textarea').trigger('click');
 }
 
+function showLassoMenu(selected_genes, x, y) {
+  //x = 600;
+  //y = 200;
+
+  $('#lasso-menu-body').empty().show().append(
+    `<span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
+    <table class="table table-striped" style="width: 100%; text-align: center; font-size: 12px;"> \
+        <tr><td>Position in split</td><td>' + "FILLER" +'</td></tr> \
+        <tr><td>Position in contig</td><td>' + "FILLER" +'</td></tr> \
+        <tr><td>Reference</td><td>' + "FILLER" +'</td></tr> \
+        <tr><td>Sequence</td><td>' + "FILLER" +'</td></tr> \
+        <tr><td>Type</td><td>' + "FILLER" +'</td></tr> \
+        <tr><td>Length</td><td>' + "FILLER" +'</td></tr> \
+        <tr><td>Count</td><td>' + "FILLER" +'</td></tr> \
+        <tr><td>Corresponding gene call</td><td>' + "FILLER" +'</td></tr> \
+        <tr><td>Codon order in gene</td><td>' + "FILLER" +'</td></tr> \
+        <tr><td>Base position in codon</td><td>' + "FILLER" +'</td></tr> \
+        <tr><td>Coverage</td><td>' + "FILLER" +'</td></tr> \
+      </table>';
+
+      <div id="picker_lasso" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div>
+      <br><br>
+
+      <button type="button" class="btn btn-default btn-sm" onClick="$('#lasso-menu-body').empty().hide()">Close</>
+      <button type="button" id="lasso-done" class="btn btn-default btn-sm" style="float:right" onClick="applyLasso()">Apply</button>
+      `
+    ).css({'position' : 'absolute', 'left' : x, 'top' : y});
+
+    $('#picker_lasso').colpick({
+      layout: 'hex',
+      submit: 0,
+      colorScheme: 'light',
+      onChange: function(hsb, hex, rgb, el, bySetColor) {
+          $(el).css('background-color', '#' + hex);
+          $(el).attr('color', '#' + hex);
+          if (!bySetColor) $(el).val(hex);
+
+          selected_genes.forEach(gene => {
+            gene.fill = '#' + hex;
+            gene.dirty = true;
+          });
+      }
+    }).keyup(function() {
+        $(this).colpickSetColor(this.value);
+        selected_genes.forEach(gene => {
+          gene.fill = this.value;
+        });
+
+    });
+}
+
+function applyLasso() {
+  $('#lasso-menu-body').empty().hide();
+
+  // TODO: apply any relevant changes here.
+  // Alternatively, we could apply changes immediately and remove this button.
+}
+
 
 
 function toggleSettingsPanel() {
diff --git a/anvio/tests/genome-view.db b/anvio/tests/genome-view.db
new file mode 100644
index 0000000000000000000000000000000000000000..533a7c6232d837b9c1910485457908b3b35c5c29
GIT binary patch
literal 12288
zcmeI%!Ab%_7zgm#oiZV0x`>FEsfZL*bXOFiLl)x2OXVquWz;d3bXRt#EswoJ5786!
z0Ns0o-l7+1wpFM@r*889;G3OqX80C<x7oeA=(|eti66{`;x^eMhCxm_CxoPRQl0BC
z^<-;Z=%?{x{?{~3s=b$t-Zj~Tus1y*AOHafKmY;|fB*y_009U<00J8;aBc47@_FNl
zDKVVMPzfc&WTfYp-OixP2c5HimnUny=!v=HN<OMGANih=o?2Bi5h`cykKKtY$KPwE
z6C;(&W{sPqwVX{to#yYhdW9G7<Z{&|60`fHe<{A3r`Uq9Pxisy*(-b21p)#PfB*y_
z009U<00Izz00bZafqw}cq^Ny#D?NWMoye6B&UoldML3Of)Uui*TUdOX9#=+z6w38I
zXRJRK)SHc()o55&t=ekW?RIvH77mjxVXsy%_iC0-J45L{(G4RJxWZFeQ=ihMS}tUA
txDvl|*PsO!$sp9->+$_x|MW*d00Izz00bZa0SG_<0uX=z1R$`%0$-AfYG?oe

literal 0
HcmV?d00001


From 6ef7c1e1396b9269848894025d131d9e38640e0d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 23 Dec 2021 02:14:31 -0600
Subject: [PATCH 0535/1020] change gene colors instantly

---
 anvio/data/interactive/js/genomeview/ui.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 9f64eb6168..2e7c37ef3f 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -453,6 +453,7 @@ function showLassoMenu(selected_genes, x, y) {
             gene.fill = '#' + hex;
             gene.dirty = true;
           });
+          canvas.renderAll();
       }
     }).keyup(function() {
         $(this).colpickSetColor(this.value);

From 47269446681a06be7218ab1dba01325970488081 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 23 Dec 2021 02:20:50 -0600
Subject: [PATCH 0536/1020] add menu background

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 2e7c37ef3f..b4bfca9f7b 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -418,7 +418,7 @@ function showLassoMenu(selected_genes, x, y) {
 
   $('#lasso-menu-body').empty().show().append(
     `<span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
-    <table class="table table-striped" style="width: 100%; text-align: center; font-size: 12px;"> \
+    <table class="table table-striped" style="width: 100%; text-align: center; font-size: 12px; background: white"> \
         <tr><td>Position in split</td><td>' + "FILLER" +'</td></tr> \
         <tr><td>Position in contig</td><td>' + "FILLER" +'</td></tr> \
         <tr><td>Reference</td><td>' + "FILLER" +'</td></tr> \

From 62ceced19967e1c5498c6880b51b7c57a6624cf5 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 23 Dec 2021 17:06:51 +0000
Subject: [PATCH 0537/1020] remove test file

---
 anvio/tests/genome-view.db | Bin 12288 -> 0 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 anvio/tests/genome-view.db

diff --git a/anvio/tests/genome-view.db b/anvio/tests/genome-view.db
deleted file mode 100644
index 533a7c6232d837b9c1910485457908b3b35c5c29..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 12288
zcmeI%!Ab%_7zgm#oiZV0x`>FEsfZL*bXOFiLl)x2OXVquWz;d3bXRt#EswoJ5786!
z0Ns0o-l7+1wpFM@r*889;G3OqX80C<x7oeA=(|eti66{`;x^eMhCxm_CxoPRQl0BC
z^<-;Z=%?{x{?{~3s=b$t-Zj~Tus1y*AOHafKmY;|fB*y_009U<00J8;aBc47@_FNl
zDKVVMPzfc&WTfYp-OixP2c5HimnUny=!v=HN<OMGANih=o?2Bi5h`cykKKtY$KPwE
z6C;(&W{sPqwVX{to#yYhdW9G7<Z{&|60`fHe<{A3r`Uq9Pxisy*(-b21p)#PfB*y_
z009U<00Izz00bZafqw}cq^Ny#D?NWMoye6B&UoldML3Of)Uui*TUdOX9#=+z6w38I
zXRJRK)SHc()o55&t=ekW?RIvH77mjxVXsy%_iC0-J45L{(G4RJxWZFeQ=ihMS}tUA
txDvl|*PsO!$sp9->+$_x|MW*d00Izz00bZa0SG_<0uX=z1R$`%0$-AfYG?oe


From 9d33b20477a3839dbc7082fb604047ee4078fafc Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 23 Dec 2021 17:59:40 +0000
Subject: [PATCH 0538/1020] new global var for padding between group layers

---
 anvio/data/interactive/js/genomeview/main.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index c6871c4ebe..2d6b5471ac 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -39,6 +39,7 @@ var scaleFactor = 1; // widths of all objects are scaled by this value to zoom i
 var maxGroupSize = 2 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer + group ruler.
 var genomeLabelSize = 15; // font size of genome labels
 var marginTop = 20; // vertical margin at the top of the genome display
+var groupLayerPadding = 10 // padding between each layer in a given genome group
 var labelSpacing = 30;  // spacing default for genomeLabel canvas
 var geneLabelSize = 40; // gene label font size
 var spacing = 50; // vertical spacing between genomes

From 15de3de1ba7a6f9bc469af8a96dbf23246714362 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 23 Dec 2021 19:05:30 +0000
Subject: [PATCH 0539/1020] account for additional padding within each group

---
 anvio/data/interactive/js/genomeview/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 6c3cc77c3f..423aa255fb 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -30,7 +30,7 @@
  */
 function calculateMainCanvasHeight(){
   let additionalSpacing = 100 // arbitrary additional spacing for cosmetics
-      let mainCanvasHeight =  spacing * settings['genomeData']['genomes'].length + additionalSpacing
+      let mainCanvasHeight =  spacing * settings['genomeData']['genomes'].length + additionalSpacing + (spacing * maxGroupSize * groupLayerPadding)
   return mainCanvasHeight
 }
 

From 038d8bc1be5a4bb3ef3cf109ed424770288cdece Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 23 Dec 2021 19:13:28 +0000
Subject: [PATCH 0540/1020] padding between group layers in, layer borders in

---
 .../data/interactive/js/genomeview/drawer.js  | 53 ++++++++++++++++---
 1 file changed, 46 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index c40e195946..3ccb207c97 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -47,7 +47,7 @@ GenomeDrawer.prototype.draw = function(){
 GenomeDrawer.prototype.addLayers = function(orderIndex){
   let [dataLayerHeight, rulerHeight] = [this.calculateLayerSizes()[0], this.calculateLayerSizes()[1]]
 
-  yOffset = orderIndex * spacing;
+  yOffset = orderIndex * spacing + (orderIndex * maxGroupSize * groupLayerPadding);
   let layerPos = 0
   let genomeID = this.settings['genomeData']['genomes'][orderIndex][0];
   let genome = this.settings['genomeData']['genomes'][orderIndex][1];
@@ -60,21 +60,47 @@ GenomeDrawer.prototype.addLayers = function(orderIndex){
   this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
     if(layer == 'Genome' && $('#Genome-show').is(':checked')){
       this.addGenome(orderIndex, dataLayerHeight, layerPos)
-      layerPos += dataLayerHeight
+      layerPos += dataLayerHeight + groupLayerPadding
     }
     if(layer == 'Coverage' && this.settings['additional-data-layers']['layers'].includes('Coverage') && $('#Coverage-show').is(':checked')){
       this.buildNumericalDataLayer('Coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', dataLayerHeight, orderIndex)
-      layerPos += dataLayerHeight
+      layerPos += dataLayerHeight + groupLayerPadding
     }
     if(layer == 'GC_Content' && this.settings['additional-data-layers']['layers'].includes('GC_content') && $('#GC_Content-show').is(':checked')){
       this.buildNumericalDataLayer('GC_content', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', dataLayerHeight, orderIndex)
-      layerPos += dataLayerHeight
+      layerPos += dataLayerHeight + groupLayerPadding
     }
     if(layer == 'Ruler' && this.settings['additional-data-layers']['layers'].includes('ruler') && $('#Ruler-show').is(':checked')) {
       this.buildGroupRulerLayer(genomeID, layerPos, rulerHeight, orderIndex)
-      layerPos += rulerHeight
+      layerPos += rulerHeight + groupLayerPadding
     }
   })
+
+  // this.addGroupBorder(yOffset)
+}
+
+/*
+ *  add a stylish and visually significant border around each group
+ */
+GenomeDrawer.prototype.addGroupBorder = function(yOffset){
+
+  let top = yOffset + marginTop - 20
+  let left = 0
+  let width = genomeMax
+  let height = spacing + 60
+
+  let rect = new fabric.Rect({
+    top : top,
+    left: left,
+    width: width,
+    height: height,
+    stroke: 'pink',
+    strokeWidth: 2,
+    fill: "pink",
+    selectable: false,
+  })
+
+  canvas.sendToBack(rect)
 }
 
 /*
@@ -292,7 +318,7 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function(genomeID, layerPos, layer
     }
       ruler.set({
         left: startingLeft,
-        top: startingTop,
+        top: startingTop + (layerHeight/2),
         lockMovementY: true,
         hasControls: false,
         hasBorders: false,
@@ -313,16 +339,29 @@ GenomeDrawer.prototype.addBackgroundShade = function(top, left, width, height, o
   let backgroundShade;
   orderIndex % 2 == 0 ? backgroundShade = '#b8b8b8' : backgroundShade = '#f5f5f5'
 
+  let border = new fabric.Rect({
+    groupID: this.settings['genomeData']['genomes'][orderIndex][0],
+    top: top,
+    left: left,
+    width: width,
+    height: height,
+    stroke: 'black',
+    strokeWidth: 2,
+    fill: "rgba(0,0,0,0.0)",
+    selectable: false,
+    // opacity : .5
+  });
   let background = new fabric.Rect({
     groupID: this.settings['genomeData']['genomes'][orderIndex][0],
     top: top,
     left: left,
     width: width,
     height: height,
-    fill: backgroundShade,
+    fill: "#dbdbdb",
     selectable: false,
     opacity : .5
   });
+  canvas.sendToBack(border)
   canvas.sendToBack(background)
 }
 

From dc7ccf1554a412ea8041ce780f530d14e340cfd8 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 23 Dec 2021 19:27:54 +0000
Subject: [PATCH 0541/1020] more descriptive code commenting, new var for
 global group margin

---
 anvio/data/interactive/js/genomeview/main.js | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 2d6b5471ac..fddd2bb407 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -36,13 +36,14 @@ var genomeMax = 0;
 var yOffset = 0 // vertical space between additional data layers
 var xDisplacement = 0; // x-offset of genome start, activated if genome labels are shown
 var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
-var maxGroupSize = 2 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer + group ruler.
+var maxGroupSize = 2 // used to calculate group height. base of 2 as each group will contain at minimum a genome layer + group ruler.
 var genomeLabelSize = 15; // font size of genome labels
 var marginTop = 20; // vertical margin at the top of the genome display
 var groupLayerPadding = 10 // padding between each layer in a given genome group
+var groupMargin = 100 // space between each genome group
 var labelSpacing = 30;  // spacing default for genomeLabel canvas
 var geneLabelSize = 40; // gene label font size
-var spacing = 50; // vertical spacing between genomes
+var spacing = 50; // multiplied by maxGroupSize to determine group height allocation
 var scaleInterval = 100; // nt scale intervals
 var adlPtsPerLayer = 10000; // number of data points to be subsampled per ADL. TODO: more meaningful default?
 var showLabels = true; // show genome labels?

From 9d663c911cf7adac27fa0331734f82e027da5b48 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 23 Dec 2021 19:28:35 +0000
Subject: [PATCH 0542/1020] y axis calcs takes group margin vals into account

---
 anvio/data/interactive/js/genomeview/drawer.js | 15 ++++++++-------
 1 file changed, 8 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 3ccb207c97..e2e95859c9 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -76,15 +76,15 @@ GenomeDrawer.prototype.addLayers = function(orderIndex){
     }
   })
 
-  // this.addGroupBorder(yOffset)
+  this.addGroupBorder(yOffset, orderIndex)
 }
 
 /*
  *  add a stylish and visually significant border around each group
  */
-GenomeDrawer.prototype.addGroupBorder = function(yOffset){
+GenomeDrawer.prototype.addGroupBorder = function(yOffset, orderIndex){
 
-  let top = yOffset + marginTop - 20
+  let top = yOffset + marginTop - 20  + (orderIndex * groupMargin)
   let left = 0
   let width = genomeMax
   let height = spacing + 60
@@ -97,6 +97,7 @@ GenomeDrawer.prototype.addGroupBorder = function(yOffset){
     stroke: 'pink',
     strokeWidth: 2,
     fill: "pink",
+    opacity: .2,
     selectable: false,
   })
 
@@ -119,7 +120,7 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
   let genome = this.settings['genomeData']['genomes'][orderIndex];
   let gene_list = genome[1].genes.gene_calls;
   let genomeID = genome[0];
-  let y = marginTop + yOffset + layerPos + (layerHeight / 2) // render arrows in the center of genome layer's allotted vertical space
+  let y = marginTop + yOffset + layerPos + (layerHeight / 2)  + (orderIndex * groupMargin) // render arrows in the center of genome layer's allotted vertical space
 
   if(showLabels) {
     canvas.add(new fabric.Text(genomeID, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
@@ -141,7 +142,7 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
         hasBorders: false,
         lockScaling: true});
   canvas.add(lineObj);
-  this.addBackgroundShade((marginTop + yOffset + layerPos), start, genomeMax, layerHeight, orderIndex)
+  this.addBackgroundShade((marginTop + yOffset + layerPos  + (orderIndex * groupMargin)), start, genomeMax, layerHeight, orderIndex)
 
   for(let geneID in gene_list) {
     let gene = gene_list[geneID];
@@ -249,7 +250,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genom
     }
 
     let maxDataLayerValue = 0
-    let startingTop = marginTop + yOffset + layerPos
+    let startingTop = marginTop + yOffset + layerPos + (orderIndex * groupMargin)
     let startingLeft = xDisps[genomeID]
     let pathDirective = [`M 0 0`]
 
@@ -290,7 +291,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genom
  *  Generate individual genome group rulers
  */
 GenomeDrawer.prototype.buildGroupRulerLayer = function(genomeID, layerPos, layerHeight, orderIndex){
-  let startingTop = marginTop + yOffset + layerPos
+  let startingTop = marginTop + yOffset + layerPos + (orderIndex * groupMargin)
   let startingLeft = xDisps[genomeID]
   // let layerHeight = (spacing / maxGroupSize)
 

From d1998dbdd8948946776aa3be836e1cba2f1d8b50 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 23 Dec 2021 16:08:12 -0600
Subject: [PATCH 0543/1020] lasso menu only activates for >1 gene

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index b4bfca9f7b..30e57dff10 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -250,7 +250,7 @@ function setEventListeners(){
   canvas.on('selection:created', (e) => {
     let selected_genes = e.selected.filter(obj => obj.id == 'arrow');
 
-    if(selected_genes.length > 0) {
+    if(selected_genes.length > 1) {
       showLassoMenu(selected_genes, e.e.clientX, e.e.clientY);
     }
 

From 2b0b5fe8b1e96bba03138815cbbb5a97c005ca23 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 23 Dec 2021 17:14:48 -0600
Subject: [PATCH 0544/1020] more informative lasso menu

---
 anvio/data/interactive/js/genomeview/ui.js | 31 ++++++++++++++--------
 1 file changed, 20 insertions(+), 11 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 30e57dff10..7e630c90c7 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -416,20 +416,29 @@ function showLassoMenu(selected_genes, x, y) {
   //x = 600;
   //y = 200;
 
+  let start, stop, length;
+  if(selected_genes.every(obj => obj.genomeID == selected_genes[0].genomeID)) {
+    start = selected_genes[0].gene.start;
+    stop = selected_genes[selected_genes.length-1].gene.stop;
+    length = stop - start;
+  } else {
+    start = stop = length = "N/A";
+  }
+
   $('#lasso-menu-body').empty().show().append(
     `<span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
     <table class="table table-striped" style="width: 100%; text-align: center; font-size: 12px; background: white"> \
-        <tr><td>Position in split</td><td>' + "FILLER" +'</td></tr> \
-        <tr><td>Position in contig</td><td>' + "FILLER" +'</td></tr> \
-        <tr><td>Reference</td><td>' + "FILLER" +'</td></tr> \
-        <tr><td>Sequence</td><td>' + "FILLER" +'</td></tr> \
-        <tr><td>Type</td><td>' + "FILLER" +'</td></tr> \
-        <tr><td>Length</td><td>' + "FILLER" +'</td></tr> \
-        <tr><td>Count</td><td>' + "FILLER" +'</td></tr> \
-        <tr><td>Corresponding gene call</td><td>' + "FILLER" +'</td></tr> \
-        <tr><td>Codon order in gene</td><td>' + "FILLER" +'</td></tr> \
-        <tr><td>Base position in codon</td><td>' + "FILLER" +'</td></tr> \
-        <tr><td>Coverage</td><td>' + "FILLER" +'</td></tr> \
+        <tr><td>Position in split</td><td>FILLER</td></tr> \
+        <tr><td>Position in contig</td><td>FILLER'</td></tr> \
+        <tr><td>Reference</td><td>FILLER</td></tr> \
+        <tr><td>Sequence</td><td>FILLER</td></tr> \
+        <tr><td>Type</td><td>FILLER</td></tr> \
+        <tr><td>Start</td><td>${start}</td></tr> \
+        <tr><td>Stop</td><td>${stop}</td></tr> \
+        <tr><td>Length</td><td>${length}</td></tr> \
+        <tr><td>Gene count</td><td>${selected_genes.length}</td></tr> \
+        <tr><td>Corresponding gene call</td><td>FILLER</td></tr> \
+        <tr><td>Coverage</td><td>FILLER</td></tr> \
       </table>';
 
       <div id="picker_lasso" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div>

From dce752b9e927bffe8f785c0a29de289a9e2b3e33 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 23 Dec 2021 19:33:37 -0600
Subject: [PATCH 0545/1020] close menu on click

---
 anvio/data/interactive/js/genomeview/ui.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 7e630c90c7..5a607d259f 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -274,6 +274,7 @@ function setEventListeners(){
     if(event.target && event.target.id === 'arrow'){
       showDeepDiveToolTip(event)
     }
+    $('#lasso-menu-body').empty().hide();
   })
 }
 function showDeepDiveToolTip(event){

From 49fc604b0713e512f05ad3da3f411a378f547695 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 3 Jan 2022 15:56:32 +0000
Subject: [PATCH 0546/1020] all the blast

---
 anvio/data/interactive/js/genomeview/ui.js | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index b4bfca9f7b..3d26e4e825 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -299,6 +299,8 @@ function showDeepDiveToolTip(event){
 
   <button type="button" id="gene-dna-sequence-button"class="btn btn-default btn-sm" >DNA</button>
   <button type="button" id="gene-aa-sequence-button" class="btn btn-default btn-sm" >AA</button>
+  <button type="button" id="gene-blastn-at-nr-button"class="btn btn-default btn-sm" >blastn @ nr</button>
+  <button type="button" id="gene-blastn-at-refseq-button" class="btn btn-default btn-sm">blastn @ refseq_genomic</button>
   <button type="button" id="gene-blastx-at-nr-button"class="btn btn-default btn-sm" >blastx @ nr</button>
   <button type="button" id="gene-blastx-at-refseq-button" class="btn btn-default btn-sm">blastx @ refseq_genomic</button>
 
@@ -339,12 +341,22 @@ function showDeepDiveToolTip(event){
     let sequenceConcat = '>' + 'DNA_SEQUENCE' + '\n' + sequence
     fire_up_ncbi_blast(sequenceConcat, 'blastx', 'nr', 'gene')
   })
+  $('#gene-blastn-at-nr-button').on('click', function(){
+    let sequence = settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence']
+    let sequenceConcat = '>' + 'DNA_SEQUENCE' + '\n' + sequence
+    fire_up_ncbi_blast(sequenceConcat, 'blastn', 'nr', 'gene')
+  })
 
   $('#gene-blastx-at-refseq-button').on('click', function(){
     let sequence = settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence']
     let sequenceConcat = '>' + 'DNA_SEQUENCE' + '\n' + sequence
     fire_up_ncbi_blast(sequenceConcat, 'blastx', 'refseq_genomic', 'gene')
   })
+  $('#gene-blastn-at-refseq-button').on('click', function(){
+    let sequence = settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence']
+    let sequenceConcat = '>' + 'DNA_SEQUENCE' + '\n' + sequence
+    fire_up_ncbi_blast(sequenceConcat, 'blastn', 'refseq_genomic', 'gene')
+  })
 }
 
 function showToolTip(event){

From 381d394d04b44ddafc3088076429d720f2c2b60d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 3 Jan 2022 19:03:05 +0000
Subject: [PATCH 0547/1020] minor clarification

---
 bin/anvi-display-genomes | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/bin/anvi-display-genomes b/bin/anvi-display-genomes
index 85364419e0..75eb3e6a78 100755
--- a/bin/anvi-display-genomes
+++ b/bin/anvi-display-genomes
@@ -40,7 +40,7 @@ if __name__ == '__main__':
     groupA.add_argument(*anvio.A('internal-genomes'), **anvio.K('internal-genomes'))
 
     groupB = parser.add_argument_group('GENOME VIEW DB', "This is a database to store the display settings, bookmarks, etc. If "
-                                "there is no database, it will be AUTOMATICALLY generated.")
+                                "there is no database at the path specified, it will be AUTOMATICALLY generated.")
     groupB.add_argument(*anvio.A('genome-view-db'), **anvio.K('genome-view-db', {'required': True}))
 
     groupC = parser.add_argument_group('GENE ASSOCIATIONS', "Tell anvi'o how genes in your genomes relate to one another.")

From 221b665ae121e7851a8bd25b7004da032c22523a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 4 Jan 2022 15:46:02 +0000
Subject: [PATCH 0548/1020] we dont take kindly to splits around here

---
 anvio/data/interactive/js/genomeview/ui.js | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index ca1df9e795..789ab5296d 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -285,7 +285,7 @@ function showDeepDiveToolTip(event){
   <span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
   <h2>Gene Call</h2>
   <table class="table table-striped" style="width: 100%; text-align: center;">
-  <thead><th>ID</th><th>Source</th><th>Length</th><th>Direction</th><th>Start</th><th>Stop</th><th>Call type</th><th>Complete</th><th>% in split</th></thead>
+  <thead><th>ID</th><th>Source</th><th>Length</th><th>Direction</th><th>Start</th><th>Stop</th><th>Call type</th><th>Complete</th></thead>
   <tbody>
   <tr><td>  ${event.target.geneID}
   </td><td> ${event.target.gene?.source}
@@ -295,7 +295,6 @@ function showDeepDiveToolTip(event){
   </td><td> ${event.target.gene.stop}
   </td><td> ${event.target.gene?.call_type}
   </td><td> ${event.target.gene?.complete_gene_call}
-  </td><td> ${event.target.gene?.percentage_in_split?.toFixed(2) + '%'}
   </td></tr></tbody></table>;
 
   <button type="button" id="gene-dna-sequence-button"class="btn btn-default btn-sm" >DNA</button>

From 1cfcc085d7aa64fdf30525e81f037627e8e0518a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 4 Jan 2022 20:10:04 +0000
Subject: [PATCH 0549/1020] create a global graph obj, then shade it!

---
 .../data/interactive/js/genomeview/drawer.js  | 51 ++++++++++++++-----
 1 file changed, 38 insertions(+), 13 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index e2e95859c9..adff4b5c9d 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -252,7 +252,11 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genom
     let maxDataLayerValue = 0
     let startingTop = marginTop + yOffset + layerPos + (orderIndex * groupMargin)
     let startingLeft = xDisps[genomeID]
-    let pathDirective = [`M 0 0`]
+
+    let globalPathDirective = [`L ${startingLeft} ${layerHeight}`]
+    let layer_end_final_coordinates
+
+    let pathDirective = [`M ${startingLeft} 0 L ${startingLeft} ${layerHeight}`]
 
     for(let i = 0; i < contigArr.length; i++){
       contigArr[i] > maxDataLayerValue ? maxDataLayerValue = contigArr[i] : null
@@ -260,30 +264,51 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genom
 
     let nGroups = 20
     let j = 0
+    let final_l = 0 //used to create final line segments to 'close out' path obj for shading purposes.
     let [l,r] = getRenderNTRange(genomeID);
     for(let i = 0; i < nGroups; i++) {
       for(; j < i*genomeMax/nGroups; j+=ptInterval){
         if(j < l) continue;
         if(j > r) break;
+
         let left = j * scaleFactor + startingLeft
         let top = [contigArr[j] / maxDataLayerValue] * layerHeight
         let segment = `L ${left} ${top}`
+        final_l = left // final_l is always last-seen x coordinate
         pathDirective.push(segment)
+        globalPathDirective.push(segment)
       }
-      let graphObj = new fabric.Path(pathDirective.join(' '))
-      graphObj.set({
-        top : startingTop,
-        stroke : stroke,
-        fill : '',
-        selectable: false,
-        objectCaching: false,
-        id : `${layer} graph`,
-        groupID : genomeID,
-        genome : genomeID
-      })
-      canvas.bringToFront(graphObj)
+      // TODO resolve performance-related aspects of the chunking done below
+
+      // let graphObj = new fabric.Path(pathDirective.join(' '))
+      // graphObj.set({
+      //   top : startingTop,
+      //   stroke : stroke,
+      //   fill : '',
+      //   selectable: false,
+      //   objectCaching: false,
+      //   id : `${layer} graph`,
+      //   groupID : genomeID,
+      //   genome : genomeID
+      // })
+      // canvas.bringToFront(graphObj)
       pathDirective = []
     }
+    layer_end_final_coordinates = `L ${final_l} ${layerHeight} L ${startingLeft} ${layerHeight}`
+    globalPathDirective.push(layer_end_final_coordinates)
+
+    let shadedObj = new fabric.Path(globalPathDirective.join(' '))
+    shadedObj.set({
+      top : startingTop,
+      stroke : stroke,
+      fill : stroke,
+      selectable: false,
+      objectCaching: false,
+      id : `${layer}-graph-shaded`,
+      groupID : genomeID,
+      genome : genomeID
+    })
+    canvas.bringToFront(shadedObj)
     this.addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
 }
 

From 30ebca4320ed81517e52459ee6fffb8665d32ec3 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 5 Jan 2022 18:51:46 +0000
Subject: [PATCH 0550/1020] modify zoomOut method to allow for global zoomout
 without context

---
 .../interactive/js/genomeview/navigation.js   | 28 +++++++++++--------
 1 file changed, 17 insertions(+), 11 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 5850319d95..9aa19763af 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -42,18 +42,24 @@
     brush.event(d3.select(".brush").transition());
   }
 
-  function zoomOut() {
-    let start = parseInt($('#brush_start').val()), end = parseInt($('#brush_end').val());
-
-    let newStart = start - genomeMax/50, newEnd = end + genomeMax/50;
-    if(newStart == 0 && newEnd == genomeMax) { // for extra-zoomed-out view
-      scaleFactor = 0.01;
-      if(dynamicScaleInterval) adjustScaleInterval();
-    drawer.draw()
-      return;
+  function zoomOut(type) {
+    let newStart, newEnd
+    if(type && type == 'fully'){
+      newStart = 0
+      newEnd = genomeMax
+    } else {
+      let start = parseInt($('#brush_start').val()), end = parseInt($('#brush_end').val());
+      newStart = start - genomeMax/50;
+      newEnd = end + genomeMax/50;
+      if(newStart == 0 && newEnd == genomeMax) { // for extra-zoomed-out view
+        scaleFactor = 0.01;
+        if(dynamicScaleInterval) adjustScaleInterval();
+      drawer.draw()
+        return;
+      }
+      if(newStart < 0) newStart = 0;
+      if(newEnd > genomeMax) newEnd = genomeMax;
     }
-    if(newStart < 0) newStart = 0;
-    if(newEnd > genomeMax) newEnd = genomeMax;
 
     brush.extent([newStart, newEnd]);
     brush(d3.select(".brush").transition());

From 29cf518e6dcea760efec11cf63507dbab587c191 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 5 Jan 2022 18:51:58 +0000
Subject: [PATCH 0551/1020] function search UI

---
 anvio/data/interactive/genomeview.html | 26 ++++++++++++++++++++++++++
 1 file changed, 26 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 8c926a7d40..19bfc159b2 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -106,6 +106,32 @@
                             </tr>
                           </tbody>
                         </table>
+                        <span class="settings-header">Search!</span>
+                        <table style="margin-bottom: 20px;">
+                          <tbody>
+                            <tr>
+                              <td>Category: </td>
+                              <td>
+                                <select class="type_multiple" id='function_search_category' style="width: 100px;" class="type">
+                                  <option value="">Function Category</option>
+                                  <option value='COG_FUNCTION'>COG Function</option>
+                                  <option value='COG_CATEGORY'>COG Category</option>
+                                  <option value='kegg'>Kegg</option>
+                                  <option value='EGGNOG_BACT'>Eggnog</option>
+                                </select>
+                              </td>
+                            </tr>
+                            <tr>
+                              <td>Function Name:</td>
+                              <td><input type="text" class="form-control input-sm" id="function_search_query" placeholder="IE 'borp'"></td>
+                            </tr>
+                            <tr>
+                              <td>
+                                <button onclick='drawer.queryFunctions()'>Let's Go!</button>
+                              </td>
+                            </tr>
+                          </tbody>
+                        </table>
 
                         <span class="settings-header">Genomes</span>
 

From 036150e52dd1ab281882bbc2ea36a488976a2e36 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 5 Jan 2022 18:52:42 +0000
Subject: [PATCH 0552/1020] query for functions, glow payload genes

---
 .../data/interactive/js/genomeview/drawer.js  | 30 ++++++++++++++++++-
 1 file changed, 29 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index adff4b5c9d..dc192051ed 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -538,7 +538,7 @@ GenomeDrawer.prototype.glowGenes = function(geneParams){
   for(arrow of arrows) {
     arrow.set('shadow', shadow);
     arrow.animate('shadow.blur', 0, {
-      duration: 3000,
+      duration: 5000,
       onChange: canvas.renderAll.bind(canvas),
       onComplete: function(){ arrow.shadow = null; },
       easing: fabric.util.ease['easeInQuad']
@@ -676,3 +676,31 @@ GenomeDrawer.prototype.adjustScaleInterval = function(){
   scaleInterval = newInterval;
   $('#genome_scale_interval').val(scaleInterval);
 }
+
+GenomeDrawer.prototype.queryFunctions = function(){
+  let query = $('#function_search_query').val()
+  let category = $('#function_search_category').val()
+  let glowPayload = []
+
+  if(!query || !category){
+    alert('please provide values for function category and/or query')
+    return
+  }
+
+  this.settings['genomeData']['genomes'].map(genome => {
+    for (const [key, value] of Object.entries(genome[1]['genes']['functions'])){
+      if(category == 'COG_FUNCTION'){
+        if (value[category]?.[1].includes(query)){
+          let glowObject = {
+            genomeID : genome[0],
+            geneID : key
+          }
+          glowPayload.push(glowObject)
+        }
+      }
+    }
+  })
+  console.log(glowPayload)
+  zoomOut('fully')
+  this.glowGenes(glowPayload)
+}
\ No newline at end of file

From 7cea242bfad1508b330a592397fa19493ed85897 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 5 Jan 2022 21:02:56 +0000
Subject: [PATCH 0553/1020] expand query, handle no hits

---
 anvio/data/interactive/js/genomeview/drawer.js | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index dc192051ed..4cc2deac13 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -689,7 +689,7 @@ GenomeDrawer.prototype.queryFunctions = function(){
 
   this.settings['genomeData']['genomes'].map(genome => {
     for (const [key, value] of Object.entries(genome[1]['genes']['functions'])){
-      if(category == 'COG_FUNCTION'){
+      if(category == 'COG_FUNCTION' || category == 'COG_CATEGORY' || category == 'EGGNOG_BACT'){ // functions where queried value lives array index 1
         if (value[category]?.[1].includes(query)){
           let glowObject = {
             genomeID : genome[0],
@@ -700,6 +700,10 @@ GenomeDrawer.prototype.queryFunctions = function(){
       }
     }
   })
+  if(glowPayload.length < 1){
+    alert(`No hits were found matching ${query} in ${category}`)
+    return
+  }
   console.log(glowPayload)
   zoomOut('fully')
   this.glowGenes(glowPayload)

From e1223e849cd48547ce536280821893fb927b6935 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 5 Jan 2022 21:17:04 +0000
Subject: [PATCH 0554/1020] statement zone

---
 anvio/data/interactive/genomeview.html | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 19bfc159b2..a9bd287829 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -129,6 +129,7 @@
                               <td>
                                 <button onclick='drawer.queryFunctions()'>Let's Go!</button>
                               </td>
+                              <td><p id='function-query-results-statement'></p></td>
                             </tr>
                           </tbody>
                         </table>

From 09ecd463285537a7863241c3e3f46ec133154ed2 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 5 Jan 2022 21:17:42 +0000
Subject: [PATCH 0555/1020] keep track of query results, inform user

---
 anvio/data/interactive/js/genomeview/drawer.js | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 4cc2deac13..56712261d9 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -681,6 +681,7 @@ GenomeDrawer.prototype.queryFunctions = function(){
   let query = $('#function_search_query').val()
   let category = $('#function_search_category').val()
   let glowPayload = []
+  let foundInGenomes = {}
 
   if(!query || !category){
     alert('please provide values for function category and/or query')
@@ -696,6 +697,9 @@ GenomeDrawer.prototype.queryFunctions = function(){
             geneID : key
           }
           glowPayload.push(glowObject)
+          if(!(genome[0] in foundInGenomes)){
+            foundInGenomes[genome[0]] = true
+          }
         }
       }
     }
@@ -704,7 +708,7 @@ GenomeDrawer.prototype.queryFunctions = function(){
     alert(`No hits were found matching ${query} in ${category}`)
     return
   }
-  console.log(glowPayload)
+  $('#function-query-results-statement').text(`Retreived ${glowPayload.length} hit(s) from ${Object.keys(foundInGenomes).length} genomes`)
   zoomOut('fully')
   this.glowGenes(glowPayload)
 }
\ No newline at end of file

From e7f10c86d7dd4a166fad960defdb55f2d0cc01ac Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 6 Jan 2022 00:00:59 +0000
Subject: [PATCH 0556/1020] note to self!

---
 anvio/data/interactive/js/genomeview/drawer.js | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 56712261d9..917e2137f7 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -687,7 +687,8 @@ GenomeDrawer.prototype.queryFunctions = function(){
     alert('please provide values for function category and/or query')
     return
   }
-
+  //TODO  1 - capture lowest start position, highest stop position of queried genes
+  //      2 - zoomOut to show only the portion of the entire sequence that contains hits
   this.settings['genomeData']['genomes'].map(genome => {
     for (const [key, value] of Object.entries(genome[1]['genes']['functions'])){
       if(category == 'COG_FUNCTION' || category == 'COG_CATEGORY' || category == 'EGGNOG_BACT'){ // functions where queried value lives array index 1

From a9000fbac4d271c77d7eb7c63ec5d48987d3789a Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 5 Jan 2022 23:11:10 -0600
Subject: [PATCH 0557/1020] declutter lasso menu

---
 anvio/data/interactive/js/genomeview/ui.js | 5 -----
 1 file changed, 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index ca1df9e795..496034be00 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -441,11 +441,6 @@ function showLassoMenu(selected_genes, x, y) {
   $('#lasso-menu-body').empty().show().append(
     `<span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
     <table class="table table-striped" style="width: 100%; text-align: center; font-size: 12px; background: white"> \
-        <tr><td>Position in split</td><td>FILLER</td></tr> \
-        <tr><td>Position in contig</td><td>FILLER'</td></tr> \
-        <tr><td>Reference</td><td>FILLER</td></tr> \
-        <tr><td>Sequence</td><td>FILLER</td></tr> \
-        <tr><td>Type</td><td>FILLER</td></tr> \
         <tr><td>Start</td><td>${start}</td></tr> \
         <tr><td>Stop</td><td>${stop}</td></tr> \
         <tr><td>Length</td><td>${length}</td></tr> \

From 0d165bb161f7610c97a7b4fc2a8866888fcef695 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 6 Jan 2022 00:35:12 -0600
Subject: [PATCH 0558/1020] gene set label UI

---
 anvio/data/interactive/js/genomeview/main.js | 5 +++++
 anvio/data/interactive/js/genomeview/ui.js   | 4 +++-
 2 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index c6871c4ebe..a827ab079c 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -119,6 +119,7 @@ function loadAdditionalDataLayers(){
       settings['display']['colors'] = {}
       settings['display']['layers'] = {}
       settings['display']['labels'] = {}
+      settings['display']['labels']['set-labels'] = {}
       settings['display']['layers']['Ruler'] = true
       settings['display']['layers']['Genome'] = true
 
@@ -272,6 +273,10 @@ function processState(stateName, stateData) {
     settings['display']['labels']['gene-labels'] = stateData['user-gene-labels']
   }
 
+  if(stateData.hasOwnProperty('gene-set-labels')){
+    settings['display']['labels']['set-labels'] = stateData['gene-set-labels']
+  }
+
   $('#tbody_additionalDataLayers').html('') // clear div before reprocess
   settings['group-layer-order'].map(layer => {
     buildGroupLayersTable(layer)
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 496034be00..30cf314587 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -430,10 +430,12 @@ function showLassoMenu(selected_genes, x, y) {
   //y = 200;
 
   let start, stop, length;
+  let showSetLabel = false;
   if(selected_genes.every(obj => obj.genomeID == selected_genes[0].genomeID)) {
     start = selected_genes[0].gene.start;
     stop = selected_genes[selected_genes.length-1].gene.stop;
     length = stop - start;
+    showSetLabel = true;
   } else {
     start = stop = length = "N/A";
   }
@@ -451,6 +453,7 @@ function showLassoMenu(selected_genes, x, y) {
 
       <div id="picker_lasso" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div>
       <br><br>
+      <input id="create_gene_set_label" class="form-control input-sm" type="text" placeholder="New gene set label" style="margin-bottom: 15px; display:${showSetLabel?"block":"none"}" size="4">
 
       <button type="button" class="btn btn-default btn-sm" onClick="$('#lasso-menu-body').empty().hide()">Close</>
       <button type="button" id="lasso-done" class="btn btn-default btn-sm" style="float:right" onClick="applyLasso()">Apply</button>
@@ -477,7 +480,6 @@ function showLassoMenu(selected_genes, x, y) {
         selected_genes.forEach(gene => {
           gene.fill = this.value;
         });
-
     });
 }
 

From e5e9e8f4efc559ea1b783f670bb7f2a620b25f64 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 6 Jan 2022 16:28:40 +0000
Subject: [PATCH 0559/1020] accept start/end params for partial zoom out

---
 anvio/data/interactive/js/genomeview/navigation.js | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 9aa19763af..397de37aa7 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -42,12 +42,15 @@
     brush.event(d3.select(".brush").transition());
   }
 
-  function zoomOut(type) {
+  function zoomOut(type, start, end) {
     let newStart, newEnd
     if(type && type == 'fully'){
       newStart = 0
       newEnd = genomeMax
-    } else {
+    } else if(type && type == 'partial'){
+      newStart = start
+      newEnd = end
+    }else {
       let start = parseInt($('#brush_start').val()), end = parseInt($('#brush_end').val());
       newStart = start - genomeMax/50;
       newEnd = end + genomeMax/50;

From 5826fef99d48df311c630bf546a0c16be98a13a8 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 6 Jan 2022 19:57:18 +0000
Subject: [PATCH 0560/1020] calculate start/stop bounds for query results

---
 anvio/data/interactive/js/genomeview/drawer.js | 12 +++++++++++-
 1 file changed, 11 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 917e2137f7..884026aa13 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -709,7 +709,17 @@ GenomeDrawer.prototype.queryFunctions = function(){
     alert(`No hits were found matching ${query} in ${category}`)
     return
   }
+  let lowestStart, highestEnd = null
+  glowPayload.map(gene => {
+    let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
+    let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
+    let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
+
+    if(start < lowestStart || lowestStart == null) lowestStart = start
+    if(end > highestEnd || highestEnd == null) highestEnd = end
+  })
+
   $('#function-query-results-statement').text(`Retreived ${glowPayload.length} hit(s) from ${Object.keys(foundInGenomes).length} genomes`)
-  zoomOut('fully')
+  zoomOut('partial', lowestStart, highestEnd)
   this.glowGenes(glowPayload)
 }
\ No newline at end of file

From 93ace8322372eb7a56273ad27914bb40316473bb Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 6 Jan 2022 20:28:27 -0600
Subject: [PATCH 0561/1020] change gene label angle from categorical to
 numerical input

---
 anvio/data/interactive/genomeview.html         | 4 ++++
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 anvio/data/interactive/js/genomeview/main.js   | 3 ++-
 anvio/data/interactive/js/genomeview/ui.js     | 7 ++++++-
 4 files changed, 13 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 8c926a7d40..8ca67519cf 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -384,6 +384,10 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                                 </select>
                               </div></td>
                             </tr>
+                            <tr>
+                              <td>Gene label angle:</td>
+                              <td><input type="text" class="form-control input-sm" id="gene_text_angle" value="0" style="margin-bottom: 10px"></td>
+                            </tr>
                           </tbody>
                         </table>
 
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index c40e195946..d9d2d649a4 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -130,7 +130,7 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
         id: 'geneLabel',
         groupID: genomeID,
         fontSize: geneLabelSize,
-        angle: geneLabelPos == "slanted" ? -10 : 0,
+        angle: geneLabelPos == "above" ? -1*geneLabelAngle : 0,
         left: xDisps[genomeID]+(gene.start+50)*scaleFactor,
         scaleX: 0.5,
         scaleY: 0.5,
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index a827ab079c..37b774fc55 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -49,7 +49,8 @@ var showGeneLabels = true; // show gene labels?
 var link_gene_label_color_source = false // by default, allow users to display different gene arrow color / gene label source
 var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
 var percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
-var geneLabelPos = "above"; // gene label position; one of "above", "slanted", "inside"
+var geneLabelPos = "above"; // gene label position; one of "above", "inside"
+var geneLabelAngle = 0;
 var thresh_count_gene_colors = 4; // min # occurences of annotation for filtering gene color table
 var order_gene_colors_by_count = true; // if true, order annotations on gene color table by descending order of count, otherwise order alphabetically
 var filter_gene_colors_to_window = false; // if true, only display gene colors in current render window, otherwise show all gene colors in split
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 30cf314587..1f7335e4d2 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -174,6 +174,11 @@ function setEventListeners(){
     if (!(geneLabelPos == "inside" && settings['display']['arrow-style'] != 3)) drawer.draw();
     $(this).blur();
   });
+  $('#gene_text_angle').on('change', function () {
+    geneLabelAngle = $(this).val();
+    if (geneLabelPos != "inside" && settings['display']['arrow-style'] != 3) drawer.draw();
+    $(this).blur();
+  });
   $('#show_genome_labels_box').on('change', function () {
     showLabels = !showLabels;
     xDisplacement = showLabels ? 120 : 0;
@@ -278,7 +283,7 @@ function setEventListeners(){
   })
 }
 function showDeepDiveToolTip(event){
-  $('#tooltip-body').html('').hide() // empty out & hide any previous tooltip instances 
+  $('#tooltip-body').html('').hide() // empty out & hide any previous tooltip instances
   $('#deepdive-tooltip-body').html('').hide()
 
   $('#deepdive-tooltip-body').show().append(`

From 2a0b681b559d7c5e92250159173ef997ab78c3b2 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 6 Jan 2022 20:34:38 -0600
Subject: [PATCH 0562/1020] fixes

---
 anvio/data/interactive/genomeview.html     | 1 -
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 2 files changed, 1 insertion(+), 2 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 8ca67519cf..475f60cd91 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -379,7 +379,6 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                               <td><div class="col-md-8">
                                 <select id="gene_text_pos" style="margin-bottom: 10px; margin-left: 0px" class="form-control input-xs">
                                   <option value='above'>Above</option>
-                                  <option value='slanted'>Slanted</option>
                                   <option value='inside'>Inside</option>
                                 </select>
                               </div></td>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 1f7335e4d2..b60be2de17 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -176,7 +176,7 @@ function setEventListeners(){
   });
   $('#gene_text_angle').on('change', function () {
     geneLabelAngle = $(this).val();
-    if (geneLabelPos != "inside" && settings['display']['arrow-style'] != 3) drawer.draw();
+    if (geneLabelPos != "inside") drawer.draw();
     $(this).blur();
   });
   $('#show_genome_labels_box').on('change', function () {

From 31cd499d24a0f8dd8e990606aea4afd766d46bea Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 7 Jan 2022 14:57:40 +0000
Subject: [PATCH 0563/1020] todo done!

---
 anvio/data/interactive/js/genomeview/drawer.js | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 884026aa13..21cd3fc3fa 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -687,8 +687,7 @@ GenomeDrawer.prototype.queryFunctions = function(){
     alert('please provide values for function category and/or query')
     return
   }
-  //TODO  1 - capture lowest start position, highest stop position of queried genes
-  //      2 - zoomOut to show only the portion of the entire sequence that contains hits
+
   this.settings['genomeData']['genomes'].map(genome => {
     for (const [key, value] of Object.entries(genome[1]['genes']['functions'])){
       if(category == 'COG_FUNCTION' || category == 'COG_CATEGORY' || category == 'EGGNOG_BACT'){ // functions where queried value lives array index 1

From 434210a457185c9841f7c7b5764c5d038162a74b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 8 Jan 2022 22:01:28 -0600
Subject: [PATCH 0564/1020] adjust gene label loc based on size

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index d9d2d649a4..5f07695cdd 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -143,12 +143,12 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
       });
       if(this.settings['display']['arrow-style'] == 3) {
         label.set({
-          top: geneLabelPos == "inside" ? y-5 : y-30,
+          top: geneLabelPos == "inside" ? y+15-geneLabelSize/2 : y-10-geneLabelSize/2,
           selectionColor:'rgba(128,128,128,.5)'
         });
       } else {
         label.set({
-          top: y-30,
+          top: y-10-geneLabelSize/2,
           selectionColor:'rgba(128,128,128,.2)'
         });
       }

From 3e29a022981b2ae9ac952a33a7d0a415e43d69cc Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 8 Jan 2022 22:21:05 -0600
Subject: [PATCH 0565/1020] cleaner gene label names

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 5f07695cdd..8deee640c3 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -163,7 +163,7 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
       // console.log(genomeOfInterest[0][1]['genes']['functions'][geneID])
 
       if($('#gene_label_source').val() == 'default'){
-        return `geneID: ${geneID}`
+        return `${geneID}`
       }
       if($('#gene_label_source').val() == 'COG_FUNCTION'){
         if(genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty('COG_FUNCTION') && genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_FUNCTION']){

From 8683b432c7f1f87be5e465041080b0aa582132f9 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 10 Jan 2022 16:01:28 +0000
Subject: [PATCH 0566/1020] no default gene label redundancy

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 21cd3fc3fa..ad5ac0a736 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -190,7 +190,7 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
       // console.log(genomeOfInterest[0][1]['genes']['functions'][geneID])
 
       if($('#gene_label_source').val() == 'default'){
-        return `geneID: ${geneID}`
+        return `${geneID}`
       }
       if($('#gene_label_source').val() == 'COG_FUNCTION'){
         if(genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty('COG_FUNCTION') && genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_FUNCTION']){

From f8ca211f30e3f0cd2072cdd9365f8d5e68621177 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 11 Jan 2022 16:37:42 +0000
Subject: [PATCH 0567/1020] keep track of global ruler layer per group

---
 anvio/data/interactive/js/genomeview/drawer.js | 3 ++-
 anvio/data/interactive/js/genomeview/ui.js     | 5 +++++
 2 files changed, 7 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index ad5ac0a736..b120dd917f 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -350,7 +350,8 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function(genomeID, layerPos, layer
         hasBorders: false,
         lockScaling: true,
         objectCaching: false,
-        groupID: genomeID
+        groupID: genomeID,
+        class: 'ruler'
       });
       ruler.addWithUpdate();
       canvas.add(ruler);
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 789ab5296d..1f0e30bb68 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -110,6 +110,11 @@ function setEventListeners(){
     $('#brush_start').val(newStart);
     $('#brush_end').val(newEnd);
   });
+  canvas.on('mouse:over', function(event) {
+    if(event.target.class == 'ruler'){
+      console.log(event.target)
+    }
+  })
 
   $('#alignClusterInput').on('keydown', function (e) {
     if (e.keyCode == 13) { // 13 = enter key

From 81721a3d8b8e539e54f317ca8c0cfef8ceba7258 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 13 Jan 2022 17:41:56 +0000
Subject: [PATCH 0568/1020] gene label source hooked into state

---
 anvio/data/interactive/js/genomeview/main.js |   5 +++++
 anvio/tests/genome-view.db                   | Bin 0 -> 12288 bytes
 2 files changed, 5 insertions(+)
 create mode 100644 anvio/tests/genome-view.db

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index fddd2bb407..5d4f342b39 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -201,6 +201,7 @@ function serializeSettings() {
   state['gc-step-size'] = $('#gc_step_size').val()
   state['gc-overlay-color'] = $('#gc_overlay_color').attr(':color')
   state['gene-color-order'] = $('#gene_color_order').val()
+  state['gene-label-source'] = $('#gene_label_source').val()
   state['annotation-color-dict'] = []
 
   $('.annotation_color').each((idx, row) => {
@@ -274,6 +275,10 @@ function processState(stateName, stateData) {
     settings['display']['labels']['gene-labels'] = stateData['user-gene-labels']
   }
 
+  if (stateData.hasOwnProperty('gene-label-source')){
+    settings['display']['gene-label-source'] = stateData['gene-label-source']
+  }
+
   $('#tbody_additionalDataLayers').html('') // clear div before reprocess
   settings['group-layer-order'].map(layer => {
     buildGroupLayersTable(layer)
diff --git a/anvio/tests/genome-view.db b/anvio/tests/genome-view.db
new file mode 100644
index 0000000000000000000000000000000000000000..7ecfc05a6d7310aa382a6159da9ebaf6583c2212
GIT binary patch
literal 12288
zcmeI%!Ab%_7zgm#-7+C$x`>FEsfZL*++7WYpe)3Tm&#KR%c!%twC;*KZF%e+dX^rb
zdk+xw7QH}Yt5And-Q@qlH#^_V@GbmqvwL;X^Q2&IIGb?EY_dZ%jhr$@2uZ6nRIWl-
zlZ{oOp4yN3U(+<Hp1fz&u1;M-U)6ws00bZa0SG_<0uX=z1Rwwb2&}EZwZ4_h=d~v)
z`M?*E<WfY*Xq;bm+Wijex6gVVmaMU2z$b!9@hHn|7zR=Va#{I2lFlR?d9Ei$-)p5~
zEtSh=wVR~1@ZCtI{=2POVZ}Q!Uv`PPf1mU(E$-$iIwkaze$Y4iLZ4NEfB*y_009U<
z00Izz00bZa0SG|gUjln6!#=nbK{ydk?1=|wG;qc|8ZXivibktt)!C+TSQ*X)mtGh+
zBlWSsJgS?P)v)TVYSXl>W_H6U>?d8KZp|!rYnDnoV;H+cHH`Vp<AKcT>Xa(wd@7Q|
tmBlN!HKRadF^g1pb8-JyKm8F9fB*y_009U<00Izz00bZa0SK(Iz!!YgYNY@G

literal 0
HcmV?d00001


From 338620d534e0a97ffe4edc971c3ee8272c37dd26 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 13 Jan 2022 17:47:40 +0000
Subject: [PATCH 0569/1020] hook gene label/color source into state

---
 anvio/data/interactive/js/genomeview/main.js | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 5d4f342b39..70904cb8e9 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -202,6 +202,7 @@ function serializeSettings() {
   state['gc-overlay-color'] = $('#gc_overlay_color').attr(':color')
   state['gene-color-order'] = $('#gene_color_order').val()
   state['gene-label-source'] = $('#gene_label_source').val()
+  state['link-gene-label-color-source'] = $('#link_gene_label_color_source').is(':checked')
   state['annotation-color-dict'] = []
 
   $('.annotation_color').each((idx, row) => {
@@ -279,6 +280,11 @@ function processState(stateName, stateData) {
     settings['display']['gene-label-source'] = stateData['gene-label-source']
   }
 
+  if (stateData.hasOwnProperty('link-gene-label-color-source')){
+    settings['display']['link-gene-label-color-source'] = stateData['link-gene-label-color-source']
+    $('#link_gene_label_color_source').prop('checked', settings['display']['link-gene-label-color-source'])
+  }
+
   $('#tbody_additionalDataLayers').html('') // clear div before reprocess
   settings['group-layer-order'].map(layer => {
     buildGroupLayersTable(layer)

From 5ce689eda9d7ef2fb8f19c14e3541b507565f3bb Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 13 Jan 2022 17:50:42 +0000
Subject: [PATCH 0570/1020] get outta here!

---
 anvio/tests/genome-view.db | Bin 12288 -> 0 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 anvio/tests/genome-view.db

diff --git a/anvio/tests/genome-view.db b/anvio/tests/genome-view.db
deleted file mode 100644
index 7ecfc05a6d7310aa382a6159da9ebaf6583c2212..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 12288
zcmeI%!Ab%_7zgm#-7+C$x`>FEsfZL*++7WYpe)3Tm&#KR%c!%twC;*KZF%e+dX^rb
zdk+xw7QH}Yt5And-Q@qlH#^_V@GbmqvwL;X^Q2&IIGb?EY_dZ%jhr$@2uZ6nRIWl-
zlZ{oOp4yN3U(+<Hp1fz&u1;M-U)6ws00bZa0SG_<0uX=z1Rwwb2&}EZwZ4_h=d~v)
z`M?*E<WfY*Xq;bm+Wijex6gVVmaMU2z$b!9@hHn|7zR=Va#{I2lFlR?d9Ei$-)p5~
zEtSh=wVR~1@ZCtI{=2POVZ}Q!Uv`PPf1mU(E$-$iIwkaze$Y4iLZ4NEfB*y_009U<
z00Izz00bZa0SG|gUjln6!#=nbK{ydk?1=|wG;qc|8ZXivibktt)!C+TSQ*X)mtGh+
zBlWSsJgS?P)v)TVYSXl>W_H6U>?d8KZp|!rYnDnoV;H+cHH`Vp<AKcT>Xa(wd@7Q|
tmBlN!HKRadF^g1pb8-JyKm8F9fB*y_009U<00Izz00bZa0SK(Iz!!YgYNY@G


From 74a3cad92681a4ab70b8576316db83880e1a7ca5 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 13 Jan 2022 18:11:45 +0000
Subject: [PATCH 0571/1020] deepdive tooltip section for user metadata

---
 anvio/data/interactive/js/genomeview/ui.js | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 1f0e30bb68..2f24948e6d 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -309,6 +309,13 @@ function showDeepDiveToolTip(event){
   <button type="button" id="gene-blastx-at-nr-button"class="btn btn-default btn-sm" >blastx @ nr</button>
   <button type="button" id="gene-blastx-at-refseq-button" class="btn btn-default btn-sm">blastx @ refseq_genomic</button>
 
+  <br>
+  <h2>metadata<h2/>
+  <input type='text' placeholder='custom gene label'>
+  <button type='button' class="btn btn-default btn-sm">add gene label</button>
+  <br>
+  <textarea placeholder='gene description'></textarea>
+  <button type='button' class="btn btn-default btn-sm">add gene description</button>
 
   <h2>Annotations</h2>;
   <table class="table table-striped">;

From 1f37fb2db72a4fc008d0600912b616a6da7ea70f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 14 Jan 2022 00:41:06 -0600
Subject: [PATCH 0572/1020] initial implementation of set labels

---
 .../data/interactive/js/genomeview/drawer.js  | 31 ++++++++++++++++++
 anvio/data/interactive/js/genomeview/main.js  |  1 +
 anvio/data/interactive/js/genomeview/ui.js    | 32 +++++++++++++++++++
 3 files changed, 64 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 8deee640c3..c1fa2a8091 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -117,6 +117,13 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
   canvas.add(lineObj);
   this.addBackgroundShade((marginTop + yOffset + layerPos), start, genomeMax, layerHeight, orderIndex)
 
+  // draw set labels
+  if(showGeneLabels && settings['display']['labels']['gene-sets'][genomeID]) {
+    settings['display']['labels']['gene-sets'][genomeID].forEach(obj => {
+      drawSetLabel(obj[0], genomeID, obj[1]);
+    });
+  }
+
   for(let geneID in gene_list) {
     let gene = gene_list[geneID];
     let [ntStart, ntStop] = getRenderNTRange(genomeID);
@@ -205,7 +212,31 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
       }
     }
   }
+
+  function drawSetLabel(title, genomeID, geneIDs) {
+    // assume gene IDs form contiguous list
+    let geneObjs = geneIDs.map(geneID => settings['genomeData']['genomes'].find(obj => obj[0]==genomeID)[1].genes.gene_calls[geneID]);
+    let x_set_label = geneObjs[0].start + (geneObjs[geneObjs.length-1].stop - geneObjs[0].start) / 2;
+    let y_set_label = y-10-geneLabelSize;
+    var set_label = new fabric.IText(title, {
+      id: 'setLabel',
+      groupID: genomeID,
+      fontSize: geneLabelSize,
+      left: xDisps[genomeID]+x_set_label*scaleFactor,
+      top: y_set_label,
+      scaleX: 0.5,
+      scaleY: 0.5,
+      editable : true,
+      hasControls: false,
+      lockMovementX: true,
+      lockMovementY: true,
+      lockScaling: true,
+      hoverCursor: 'text',
+    });
+    canvas.add(set_label);
+  }
 }
+
 /*
  *  Process to generate numerical ADL for genome groups (ie Coverage, GC Content )
  */
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 37b774fc55..4bbd91585e 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -121,6 +121,7 @@ function loadAdditionalDataLayers(){
       settings['display']['layers'] = {}
       settings['display']['labels'] = {}
       settings['display']['labels']['set-labels'] = {}
+      settings['display']['labels']['gene-sets'] = {}
       settings['display']['layers']['Ruler'] = true
       settings['display']['layers']['Genome'] = true
 
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index b60be2de17..48aac03cc5 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -486,6 +486,38 @@ function showLassoMenu(selected_genes, x, y) {
           gene.fill = this.value;
         });
     });
+
+    if(showSetLabel) {
+      $('#create_gene_set_label').on('change', function() {
+        createGeneSetLabel(selected_genes, $(this).val());
+      });
+    }
+}
+
+function createGeneSetLabel(selected_genes, title) {
+  // assume selected_genes are from the same genomeID
+  let genomeID = selected_genes[0].genomeID;
+  let geneIDs = selected_genes.map(gene => gene.geneID);
+
+  // if no set labels yet for this genome, initialize empty array
+  if(!settings['display']['labels']['set-labels'][genomeID]) {
+    let numGenes = Object.keys(settings['genomeData']['genomes'].find(genome => genome[0] == genomeID)[1].genes.gene_calls).length;
+    settings['display']['labels']['set-labels'][genomeID] = new Array(numGenes).fill(false);
+    settings['display']['labels']['gene-sets'][genomeID] = [];
+  } else {
+    // if a gene in this selection is already part of a set, do not create a new label
+    if(geneIDs.some(
+      geneID => settings['display']['labels']['set-labels'][genomeID][geneID]
+    )) return;
+  }
+
+  // save label to settings for redrawing
+  geneIDs.forEach(id => {
+    settings['display']['labels']['set-labels'][genomeID][id] = true
+  });
+  settings['display']['labels']['gene-sets'][genomeID].push([title, geneIDs]);
+
+  drawer.draw();
 }
 
 function applyLasso() {

From ccf2a0866d5391d7f2e785b27ccf876367f0ce8b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 14 Jan 2022 00:55:16 -0600
Subject: [PATCH 0573/1020] store gene color changes from lasso menu in state

---
 anvio/data/interactive/js/genomeview/drawer.js | 5 +++++
 anvio/data/interactive/js/genomeview/main.js   | 1 +
 anvio/data/interactive/js/genomeview/ui.js     | 3 +++
 3 files changed, 9 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index c1fa2a8091..abc2298cc1 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -387,6 +387,11 @@ GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
     }
   }
 
+  // check for set colors
+  if(settings['display']['colors']['genes'][genomeID] && settings['display']['colors']['genes'][genomeID][geneID]) {
+    color = settings['display']['colors']['genes'][genomeID][geneID];
+  }
+
   let length = (gene.stop-gene.start)*scaleFactor;
   let stemLength = length-25 > 0 ? length-25 : 0;
 
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 4bbd91585e..0890dab906 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -118,6 +118,7 @@ function loadAdditionalDataLayers(){
       settings['group-layer-order'] = ['Genome', 'Ruler']
       settings['display'] = {}
       settings['display']['colors'] = {}
+      settings['display']['colors']['genes'] = {}
       settings['display']['layers'] = {}
       settings['display']['labels'] = {}
       settings['display']['labels']['set-labels'] = {}
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 48aac03cc5..9d040a1dff 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -474,9 +474,12 @@ function showLassoMenu(selected_genes, x, y) {
           $(el).attr('color', '#' + hex);
           if (!bySetColor) $(el).val(hex);
 
+          if(!settings['display']['colors']['genes'][selected_genes[0].genomeID])
+            settings['display']['colors']['genes'][selected_genes[0].genomeID] = {};
           selected_genes.forEach(gene => {
             gene.fill = '#' + hex;
             gene.dirty = true;
+            settings['display']['colors']['genes'][selected_genes[0].genomeID][gene.geneID] = '#' + hex;
           });
           canvas.renderAll();
       }

From e323a2403e076b4e82ed544d00e7165521818d17 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 19 Jan 2022 16:01:26 +0000
Subject: [PATCH 0574/1020] fixy

---
 anvio/data/interactive/js/genomeview/main.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 00bb3b5076..466687ea9b 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -282,7 +282,7 @@ function processState(stateName, stateData) {
 
   if(stateData.hasOwnProperty('gene-set-labels')){
     settings['display']['labels']['set-labels'] = stateData['gene-set-labels']
-
+  }
   if (stateData.hasOwnProperty('gene-label-source')){
     settings['display']['gene-label-source'] = stateData['gene-label-source']
   }

From 98f9a2d66357549893bed73e844c280543e48132 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 19 Jan 2022 18:46:06 +0000
Subject: [PATCH 0575/1020] safety checks for genes w/o functional annotations

---
 anvio/data/interactive/js/genomeview/ui.js | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index ef298aa526..23c3e9671c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -111,9 +111,9 @@ function setEventListeners(){
     $('#brush_end').val(newEnd);
   });
   canvas.on('mouse:over', function(event) {
-    if(event.target.class == 'ruler'){
-      console.log(event.target)
-    }
+    // if(event.target.class == 'ruler'){
+    //   console.log(event.target)
+    // }
   })
 
   $('#alignClusterInput').on('keydown', function (e) {
@@ -331,16 +331,16 @@ function showDeepDiveToolTip(event){
   <tr>
   <td>COG-Category</td>
   <td>idk</td>
-  <td>${event.target.functions?.COG_CATEGORY[1]}<td/>
+  <td>${event.target?.functions?.COG_CATEGORY?.[1]}<td/>
   </tr>
   <tr>
   <td>COG-Function</td>
   <td>idk</td>
-  <td>${event.target.functions?.COG_FUNCTION[1]}<td/>
+  <td>${event.target?.functions?.COG_FUNCTION?.[1]}<td/>
   </tr>
   <td>EGGNOG</td>
   <td>idk</td>
-  <>${event.target.functions?.EGGNOG_BACT[1]}<td/>
+  <>${event.target?.functions?.EGGNOG_BACT?.[1]}<td/>
   </tr></tbody></table>;
   <button type="button" class="btn btn-default btn-sm" onClick="$('#deepdive-tooltip-body').html('').hide()">close</>
   `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
@@ -403,16 +403,16 @@ function showToolTip(event){
     <tr>
     <td>COG-Category</td>
     <td>idk</td>
-    <td>${event.target.functions?.COG_CATEGORY[1]}<td/>
+    <td>${event.target.functions?.COG_CATEGORY?.[1]}<td/>
     </tr>
     <tr>
     <td>COG-Function</td>
     <td>idk</td>
-    <td>${event.target.functions?.COG_FUNCTION[1]}<td/>
+    <td>${event.target.functions?.COG_FUNCTION?.[1]}<td/>
     </tr>
     <td>EGGNOG</td>
     <td>idk</td>
-    <td>${event.target.functions?.EGGNOG_BACT[1]}<td/>
+    <td>${event.target.functions?.EGGNOG_BACT?.[1]}<td/>
   `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
 }
 

From e0e64a63d60ab7d194f647977576fc4fc14164ab Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 19 Jan 2022 19:03:49 +0000
Subject: [PATCH 0576/1020] display functional sources programmatically

---
 anvio/data/interactive/js/genomeview/ui.js | 31 +++++++++++-----------
 1 file changed, 16 insertions(+), 15 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 23c3e9671c..3b58cf8c68 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -377,6 +377,18 @@ function showDeepDiveToolTip(event){
 }
 
 function showToolTip(event){
+  let totalAnnotationsString = ''
+  if(event.target.functions){
+    Object.entries(event.target.functions).map(func => {
+      totalAnnotationsString += `
+      <tr>
+      <td>${func[0]}</td>
+      <td>accession?</td>
+      <td>${func?.[1]?.[1]}</td>
+      </tr>
+      `
+    })
+  }
   $('#tooltip-body').show().append(`
     <span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
     <h2>Gene Call</h2>
@@ -393,27 +405,16 @@ function showToolTip(event){
     </td><td> ${event.target.gene?.complete_gene_call}
     </td><td> ${event.target.gene?.percentage_in_split?.toFixed(2) + '%'}
     </td></tr></tbody></table>;
-
     <h2>Annotations</h2>;
     <table class="table table-striped">;
     <thead><th>Source</th>;
     <th>Accession</th>;
     <th>Annotation</th></thead>;
     <tbody>;
-    <tr>
-    <td>COG-Category</td>
-    <td>idk</td>
-    <td>${event.target.functions?.COG_CATEGORY?.[1]}<td/>
-    </tr>
-    <tr>
-    <td>COG-Function</td>
-    <td>idk</td>
-    <td>${event.target.functions?.COG_FUNCTION?.[1]}<td/>
-    </tr>
-    <td>EGGNOG</td>
-    <td>idk</td>
-    <td>${event.target.functions?.EGGNOG_BACT?.[1]}<td/>
-  `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
+    ${totalAnnotationsString}
+    </tbody>
+
+    `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
 }
 
 function show_sequence_modal(title, content) {

From a8b0ed0a21c251395e60d267c778e3ab1021ef9f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 19 Jan 2022 19:04:24 +0000
Subject: [PATCH 0577/1020] no hardcoded functional sources plz/ty

---
 anvio/data/interactive/js/genomeview/drawer.js | 18 ++++++++----------
 1 file changed, 8 insertions(+), 10 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index de15ff250a..bb3e74f9a2 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -727,16 +727,14 @@ GenomeDrawer.prototype.queryFunctions = function(){
 
   this.settings['genomeData']['genomes'].map(genome => {
     for (const [key, value] of Object.entries(genome[1]['genes']['functions'])){
-      if(category == 'COG_FUNCTION' || category == 'COG_CATEGORY' || category == 'EGGNOG_BACT'){ // functions where queried value lives array index 1
-        if (value[category]?.[1].includes(query)){
-          let glowObject = {
-            genomeID : genome[0],
-            geneID : key
-          }
-          glowPayload.push(glowObject)
-          if(!(genome[0] in foundInGenomes)){
-            foundInGenomes[genome[0]] = true
-          }
+      if (value[category]?.[1].includes(query)){
+        let glowObject = {
+          genomeID : genome[0],
+          geneID : key
+        }
+        glowPayload.push(glowObject)
+        if(!(genome[0] in foundInGenomes)){
+          foundInGenomes[genome[0]] = true
         }
       }
     }

From 8e02461643f7cea2cfb2cc81dc500441b2453e19 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 19 Jan 2022 19:27:45 +0000
Subject: [PATCH 0578/1020] build gene label select programmatically

---
 anvio/data/interactive/js/genomeview/ui.js | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 3b58cf8c68..f822c4a37f 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -885,3 +885,21 @@ function resetFunctionColors(fn_colors=null) {
 
      drawer.draw();
  }
+
+function buildGeneLabelsSelect(){
+  let sourcesObj = {}
+  settings['genomeData']['genomes'].map(genome => {
+    Object.values(genome[1]['genes']['functions']).map(func => {
+      Object.keys(func).forEach(source => {
+        if(sourcesObj[source]){
+          return
+        } else {
+          sourcesObj[source] = true
+        }
+      })
+    })
+  })
+  Object.keys(sourcesObj).forEach(source => {
+    $("#gene_label_source").append(new Option(source, source));
+  })
+}
\ No newline at end of file

From 7cf0b45fe10cfd93341007a2bd0ea19956654740 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 19 Jan 2022 19:28:13 +0000
Subject: [PATCH 0579/1020] no hardcode!

---
 anvio/data/interactive/genomeview.html | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index dd14ac28a0..07f5aa8e29 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -386,10 +386,6 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                                 <select id="gene_label_source" style="margin-bottom: 10px; margin-left: 0px" class="form-control input-xs">
                                   <option value='default'>Default</option>
                                   <option value='user'>User-Defined</option>
-                                  <option value='COG_FUNCTION'>COG Function</option>
-                                  <option value='COG_CATEGORY'>COG Category</option>
-                                  <option value='kegg'>Kegg</option>
-                                  <option value='EGGNOG_BACT'>Eggnog</option>
                                 </select>
                               </div></td>
                             </tr>

From d7413f42a5728727d89ac1f1126fe62b783374e3 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 19 Jan 2022 19:28:37 +0000
Subject: [PATCH 0580/1020] call gene label source func during setup

---
 anvio/data/interactive/js/genomeview/main.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 466687ea9b..323a24832e 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -337,6 +337,7 @@ function loadAll(loadType) {
     generateColorTable(fn_colors = null, fn_type = color_db);
   }
 
+  buildGeneLabelsSelect()
   brush.extent([parseInt($('#brush_start').val()), parseInt($('#brush_end').val())]);
   brush(d3.select(".brush"));
   updateRenderWindow();

From 735ad80ced4256efabeddf7b5d7a6275398d5ae0 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 19 Jan 2022 19:40:24 +0000
Subject: [PATCH 0581/1020] clean label source method, reformat doc + ERADICATE
 WHITE SPACE

---
 .../data/interactive/js/genomeview/drawer.js  | 495 +++++++++---------
 anvio/tests/genome-view.db                    | Bin 0 -> 12288 bytes
 2 files changed, 242 insertions(+), 253 deletions(-)
 create mode 100644 anvio/tests/genome-view.db

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index bb3e74f9a2..c9bd4b2aa5 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -22,11 +22,11 @@
  * File Overview : The Drawer class defined here is responsible for rendering genomic + associated data passed from main.js to an interactive
  * browser canvas. This is where most of the heavy lifting should happen, and where most of our Fabric.js library interactions should occur.
  */
-var GenomeDrawer = function(settings) {
+var GenomeDrawer = function (settings) {
   this.settings = settings;
 };
 
-GenomeDrawer.prototype.draw = function(){
+GenomeDrawer.prototype.draw = function () {
   canvas.clear()
   labelSpacing = 30 // reset to default value upon each draw() call
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
@@ -44,7 +44,7 @@ GenomeDrawer.prototype.draw = function(){
 /*
  *  For each genome group, iterate additional all layers and render where appropriate
  */
-GenomeDrawer.prototype.addLayers = function(orderIndex){
+GenomeDrawer.prototype.addLayers = function (orderIndex) {
   let [dataLayerHeight, rulerHeight] = [this.calculateLayerSizes()[0], this.calculateLayerSizes()[1]]
 
   yOffset = orderIndex * spacing + (orderIndex * maxGroupSize * groupLayerPadding);
@@ -58,19 +58,19 @@ GenomeDrawer.prototype.addLayers = function(orderIndex){
   let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
 
   this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
-    if(layer == 'Genome' && $('#Genome-show').is(':checked')){
+    if (layer == 'Genome' && $('#Genome-show').is(':checked')) {
       this.addGenome(orderIndex, dataLayerHeight, layerPos)
       layerPos += dataLayerHeight + groupLayerPadding
     }
-    if(layer == 'Coverage' && this.settings['additional-data-layers']['layers'].includes('Coverage') && $('#Coverage-show').is(':checked')){
+    if (layer == 'Coverage' && this.settings['additional-data-layers']['layers'].includes('Coverage') && $('#Coverage-show').is(':checked')) {
       this.buildNumericalDataLayer('Coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', dataLayerHeight, orderIndex)
       layerPos += dataLayerHeight + groupLayerPadding
     }
-    if(layer == 'GC_Content' && this.settings['additional-data-layers']['layers'].includes('GC_content') && $('#GC_Content-show').is(':checked')){
+    if (layer == 'GC_Content' && this.settings['additional-data-layers']['layers'].includes('GC_content') && $('#GC_Content-show').is(':checked')) {
       this.buildNumericalDataLayer('GC_content', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', dataLayerHeight, orderIndex)
       layerPos += dataLayerHeight + groupLayerPadding
     }
-    if(layer == 'Ruler' && this.settings['additional-data-layers']['layers'].includes('ruler') && $('#Ruler-show').is(':checked')) {
+    if (layer == 'Ruler' && this.settings['additional-data-layers']['layers'].includes('ruler') && $('#Ruler-show').is(':checked')) {
       this.buildGroupRulerLayer(genomeID, layerPos, rulerHeight, orderIndex)
       layerPos += rulerHeight + groupLayerPadding
     }
@@ -82,15 +82,15 @@ GenomeDrawer.prototype.addLayers = function(orderIndex){
 /*
  *  add a stylish and visually significant border around each group
  */
-GenomeDrawer.prototype.addGroupBorder = function(yOffset, orderIndex){
+GenomeDrawer.prototype.addGroupBorder = function (yOffset, orderIndex) {
 
-  let top = yOffset + marginTop - 20  + (orderIndex * groupMargin)
+  let top = yOffset + marginTop - 20 + (orderIndex * groupMargin)
   let left = 0
   let width = genomeMax
   let height = spacing + 60
 
   let rect = new fabric.Rect({
-    top : top,
+    top: top,
     left: left,
     width: width,
     height: height,
@@ -107,133 +107,118 @@ GenomeDrawer.prototype.addGroupBorder = function(yOffset, orderIndex){
 /*
  *  programmatically calculate layer height values, given that the ruler layer should be allocated comparatively less space
  */
-GenomeDrawer.prototype.calculateLayerSizes = function(){
+GenomeDrawer.prototype.calculateLayerSizes = function () {
   let parityHeight = spacing / maxGroupSize
   let rulerHeight = Math.floor(parityHeight * .5) // some arbitrary percentage of parity since ruler should get less y-axis space
 
   // with the extra space carved out by a smaller rulerHeight, distribute the excess evenly amongst all layers that are NOT rulers
-  let dataLayerHeight = Math.floor(parityHeight * (1 + (.5 / (maxGroupSize -1))) )
+  let dataLayerHeight = Math.floor(parityHeight * (1 + (.5 / (maxGroupSize - 1))))
   return [dataLayerHeight, rulerHeight]
 }
 
-GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
+GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos) {
   let genome = this.settings['genomeData']['genomes'][orderIndex];
   let gene_list = genome[1].genes.gene_calls;
   let genomeID = genome[0];
-  let y = marginTop + yOffset + layerPos + (layerHeight / 2)  + (orderIndex * groupMargin) // render arrows in the center of genome layer's allotted vertical space
+  let y = marginTop + yOffset + layerPos + (layerHeight / 2) + (orderIndex * groupMargin) // render arrows in the center of genome layer's allotted vertical space
 
-  if(showLabels) {
-    canvas.add(new fabric.Text(genomeID, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
+  if (showLabels) {
+    canvas.add(new fabric.Text(genomeID, { top: y - 5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold' }));
   }
 
-  let [start, stop] = percentScale ? getRenderXRangeForFrac() : renderWindow.map(x => x*scaleFactor + xDisps[genomeID]);
+  let [start, stop] = percentScale ? getRenderXRangeForFrac() : renderWindow.map(x => x * scaleFactor + xDisps[genomeID]);
   start = clamp(start > xDisps[genomeID] ? start : xDisps[genomeID], calcXBounds()[0], calcXBounds()[1]);
   stop = clamp(stop, calcXBounds()[0], calcXBounds()[1]);
 
   // line
-  let lineObj = new fabric.Line([start,0,stop,0], {
-        id: 'genomeLine',
-        groupID: genomeID,
-        top: y + 4,
-        stroke: 'black',
-        strokeWidth: 2,
-        lockMovementY: true,
-        hasControls: false,
-        hasBorders: false,
-        lockScaling: true});
+  let lineObj = new fabric.Line([start, 0, stop, 0], {
+    id: 'genomeLine',
+    groupID: genomeID,
+    top: y + 4,
+    stroke: 'black',
+    strokeWidth: 2,
+    lockMovementY: true,
+    hasControls: false,
+    hasBorders: false,
+    lockScaling: true
+  });
   canvas.add(lineObj);
-  this.addBackgroundShade((marginTop + yOffset + layerPos  + (orderIndex * groupMargin)), start, genomeMax, layerHeight, orderIndex)
+  this.addBackgroundShade((marginTop + yOffset + layerPos + (orderIndex * groupMargin)), start, genomeMax, layerHeight, orderIndex)
 
   // draw set labels
-  if(showGeneLabels && settings['display']['labels']['gene-sets'][genomeID]) {
+  if (showGeneLabels && settings['display']['labels']['gene-sets'][genomeID]) {
     settings['display']['labels']['gene-sets'][genomeID].forEach(obj => {
       drawSetLabel(obj[0], genomeID, obj[1]);
     });
   }
 
-  for(let geneID in gene_list) {
+  for (let geneID in gene_list) {
     let gene = gene_list[geneID];
     let [ntStart, ntStop] = getRenderNTRange(genomeID);
-    if(gene.start < ntStart) continue;
-    if(gene.stop > ntStop) return;
-    var geneObj = this.geneArrow(gene,geneID,y,genomeID,this.settings['display']['arrow-style']);
+    if (gene.start < ntStart) continue;
+    if (gene.stop > ntStop) return;
+    var geneObj = this.geneArrow(gene, geneID, y, genomeID, this.settings['display']['arrow-style']);
     canvas.add(geneObj);
 
-    if(showGeneLabels) {
+    if (showGeneLabels) {
       var label = new fabric.IText(setGeneLabelFromSource(geneID, genomeID), {
         id: 'geneLabel',
         groupID: genomeID,
         fontSize: geneLabelSize,
-        angle: geneLabelPos == "above" ? -1*geneLabelAngle : 0,
-        left: xDisps[genomeID]+(gene.start+50)*scaleFactor,
+        angle: geneLabelPos == "above" ? -1 * geneLabelAngle : 0,
+        left: xDisps[genomeID] + (gene.start + 50) * scaleFactor,
         scaleX: 0.5,
         scaleY: 0.5,
-        editable : true,
+        editable: true,
         hasControls: false,
         lockMovementX: true,
         lockMovementY: true,
         lockScaling: true,
         hoverCursor: 'text'
       });
-      if(this.settings['display']['arrow-style'] == 3) {
+      if (this.settings['display']['arrow-style'] == 3) {
         label.set({
-          top: geneLabelPos == "inside" ? y+15-geneLabelSize/2 : y-10-geneLabelSize/2,
-          selectionColor:'rgba(128,128,128,.5)'
+          top: geneLabelPos == "inside" ? y + 15 - geneLabelSize / 2 : y - 10 - geneLabelSize / 2,
+          selectionColor: 'rgba(128,128,128,.5)'
         });
       } else {
         label.set({
-          top: y-10-geneLabelSize/2,
-          selectionColor:'rgba(128,128,128,.2)'
+          top: y - 10 - geneLabelSize / 2,
+          selectionColor: 'rgba(128,128,128,.2)'
         });
       }
-      label.on("editing:exited", function(e) {
+      label.on("editing:exited", function (e) {
         console.log(label.text)
       });
       canvas.add(label);
     }
 
-    function setGeneLabelFromSource(geneID, genomeID){
+    function setGeneLabelFromSource(geneID, genomeID) {
       let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == genomeID)
+      let source = $('#gene_label_source').val()
       // console.log(genomeOfInterest[0][1]['genes']['functions'][geneID])
 
-      if($('#gene_label_source').val() == 'default'){
+      if (source == 'default') {
         return `${geneID}`
       }
-      if($('#gene_label_source').val() == 'COG_FUNCTION'){
-        if(genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty('COG_FUNCTION') && genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_FUNCTION']){
-          return ellipsisMachine(genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_FUNCTION'][1])
-        } else {
-          return 'None'
-        }
-      }
-      if($('#gene_label_source').val() == 'COG_CATEGORY'){
-        if(genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty('COG_CATEGORY') && genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_CATEGORY']){
-          return ellipsisMachine(genomeOfInterest[0][1]['genes']['functions'][geneID]['COG_CATEGORY'][1])
-        } else {
-          return 'None'
-        }
-      }
-      if($('#gene_label_source').val() == 'EGGNOG_BACT'){
-        if(genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty('EGGNOG_BACT') && genomeOfInterest[0][1]['genes']['functions'][geneID]['EGGNOG_BACT']){
-          return ellipsisMachine(genomeOfInterest[0][1]['genes']['functions'][geneID]['EGGNOG_BACT'][1])
+      if (source == 'user') {
+        if (this.settings['display']?.hasOwnProperty('gene-labels')) {
+          return this.settings['display']['gene-labels'][genomeID][geneID]
         } else {
           return 'None'
         }
-      }
-      if($('#gene_label_source').val() == 'user'){
-        if(this.settings['display']?.hasOwnProperty('gene-labels')){
-          return this.settings['display']['gene-labels'][genomeID][geneID]
+      } else {
+        if (genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty(source) && genomeOfInterest[0][1]['genes']['functions'][geneID][source]) {
+          return ellipsisMachine(genomeOfInterest[0][1]['genes']['functions'][geneID][source][1])
         } else {
           return 'None'
         }
       }
-
-      return `whoops ${geneID}`
     }
 
-    function ellipsisMachine(string){ // add ellipsis only to truncated gene label values
-      if(string.substring(0,20).length == 20){
-        return `${string.substring(0,20)}...`
+    function ellipsisMachine(string) { // add ellipsis only to truncated gene label values
+      if (string.substring(0, 20).length == 20) {
+        return `${string.substring(0, 20)}...`
       } else {
         return string
       }
@@ -242,18 +227,18 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
 
   function drawSetLabel(title, genomeID, geneIDs) {
     // assume gene IDs form contiguous list
-    let geneObjs = geneIDs.map(geneID => settings['genomeData']['genomes'].find(obj => obj[0]==genomeID)[1].genes.gene_calls[geneID]);
-    let x_set_label = geneObjs[0].start + (geneObjs[geneObjs.length-1].stop - geneObjs[0].start) / 2;
-    let y_set_label = y-10-geneLabelSize;
+    let geneObjs = geneIDs.map(geneID => settings['genomeData']['genomes'].find(obj => obj[0] == genomeID)[1].genes.gene_calls[geneID]);
+    let x_set_label = geneObjs[0].start + (geneObjs[geneObjs.length - 1].stop - geneObjs[0].start) / 2;
+    let y_set_label = y - 10 - geneLabelSize;
     var set_label = new fabric.IText(title, {
       id: 'setLabel',
       groupID: genomeID,
       fontSize: geneLabelSize,
-      left: xDisps[genomeID]+x_set_label*scaleFactor,
+      left: xDisps[genomeID] + x_set_label * scaleFactor,
       top: y_set_label,
       scaleX: 0.5,
       scaleY: 0.5,
-      editable : true,
+      editable: true,
       hasControls: false,
       lockMovementX: true,
       lockMovementY: true,
@@ -267,86 +252,86 @@ GenomeDrawer.prototype.addGenome = function(orderIndex, layerHeight, layerPos){
 /*
  *  Process to generate numerical ADL for genome groups (ie Coverage, GC Content )
  */
-GenomeDrawer.prototype.buildNumericalDataLayer = function(layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor, layerHeight, orderIndex){
-    // TODO this will need to be refactored once we begin testing genomes comprised of multiple contigs
-    let contigObj = Object.values(additionalDataLayers)[0]
-    let contigArr = Object.values(contigObj)[0]
-    let stroke = 'black'
-
-    // if(layer == 'Coverage'){
-    //   this.settings['display']['additional-data-layers']['coverage'] ? stroke = this.settings['display']['additional-data-layers']['coverage'] : stroke = 'black'
-    // }
-    if(layer == 'GC_content'){ // we will need to refactor and get our variable case/formatting nonsense sorted.
-      this.settings['display']['colors']['GC_Content'] ? stroke = this.settings['display']['colors']['GC_Content'] : stroke = 'red'
-    }
+GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor, layerHeight, orderIndex) {
+  // TODO this will need to be refactored once we begin testing genomes comprised of multiple contigs
+  let contigObj = Object.values(additionalDataLayers)[0]
+  let contigArr = Object.values(contigObj)[0]
+  let stroke = 'black'
+
+  // if(layer == 'Coverage'){
+  //   this.settings['display']['additional-data-layers']['coverage'] ? stroke = this.settings['display']['additional-data-layers']['coverage'] : stroke = 'black'
+  // }
+  if (layer == 'GC_content') { // we will need to refactor and get our variable case/formatting nonsense sorted.
+    this.settings['display']['colors']['GC_Content'] ? stroke = this.settings['display']['colors']['GC_Content'] : stroke = 'red'
+  }
 
-    let maxDataLayerValue = 0
-    let startingTop = marginTop + yOffset + layerPos + (orderIndex * groupMargin)
-    let startingLeft = xDisps[genomeID]
+  let maxDataLayerValue = 0
+  let startingTop = marginTop + yOffset + layerPos + (orderIndex * groupMargin)
+  let startingLeft = xDisps[genomeID]
 
-    let globalPathDirective = [`L ${startingLeft} ${layerHeight}`]
-    let layer_end_final_coordinates
+  let globalPathDirective = [`L ${startingLeft} ${layerHeight}`]
+  let layer_end_final_coordinates
 
-    let pathDirective = [`M ${startingLeft} 0 L ${startingLeft} ${layerHeight}`]
+  let pathDirective = [`M ${startingLeft} 0 L ${startingLeft} ${layerHeight}`]
 
-    for(let i = 0; i < contigArr.length; i++){
-      contigArr[i] > maxDataLayerValue ? maxDataLayerValue = contigArr[i] : null
-    }
+  for (let i = 0; i < contigArr.length; i++) {
+    contigArr[i] > maxDataLayerValue ? maxDataLayerValue = contigArr[i] : null
+  }
 
-    let nGroups = 20
-    let j = 0
-    let final_l = 0 //used to create final line segments to 'close out' path obj for shading purposes.
-    let [l,r] = getRenderNTRange(genomeID);
-    for(let i = 0; i < nGroups; i++) {
-      for(; j < i*genomeMax/nGroups; j+=ptInterval){
-        if(j < l) continue;
-        if(j > r) break;
-
-        let left = j * scaleFactor + startingLeft
-        let top = [contigArr[j] / maxDataLayerValue] * layerHeight
-        let segment = `L ${left} ${top}`
-        final_l = left // final_l is always last-seen x coordinate
-        pathDirective.push(segment)
-        globalPathDirective.push(segment)
-      }
-      // TODO resolve performance-related aspects of the chunking done below
-
-      // let graphObj = new fabric.Path(pathDirective.join(' '))
-      // graphObj.set({
-      //   top : startingTop,
-      //   stroke : stroke,
-      //   fill : '',
-      //   selectable: false,
-      //   objectCaching: false,
-      //   id : `${layer} graph`,
-      //   groupID : genomeID,
-      //   genome : genomeID
-      // })
-      // canvas.bringToFront(graphObj)
-      pathDirective = []
+  let nGroups = 20
+  let j = 0
+  let final_l = 0 //used to create final line segments to 'close out' path obj for shading purposes.
+  let [l, r] = getRenderNTRange(genomeID);
+  for (let i = 0; i < nGroups; i++) {
+    for (; j < i * genomeMax / nGroups; j += ptInterval) {
+      if (j < l) continue;
+      if (j > r) break;
+
+      let left = j * scaleFactor + startingLeft
+      let top = [contigArr[j] / maxDataLayerValue] * layerHeight
+      let segment = `L ${left} ${top}`
+      final_l = left // final_l is always last-seen x coordinate
+      pathDirective.push(segment)
+      globalPathDirective.push(segment)
     }
-    layer_end_final_coordinates = `L ${final_l} ${layerHeight} L ${startingLeft} ${layerHeight}`
-    globalPathDirective.push(layer_end_final_coordinates)
-
-    let shadedObj = new fabric.Path(globalPathDirective.join(' '))
-    shadedObj.set({
-      top : startingTop,
-      stroke : stroke,
-      fill : stroke,
-      selectable: false,
-      objectCaching: false,
-      id : `${layer}-graph-shaded`,
-      groupID : genomeID,
-      genome : genomeID
-    })
-    canvas.bringToFront(shadedObj)
-    this.addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
+    // TODO resolve performance-related aspects of the chunking done below
+
+    // let graphObj = new fabric.Path(pathDirective.join(' '))
+    // graphObj.set({
+    //   top : startingTop,
+    //   stroke : stroke,
+    //   fill : '',
+    //   selectable: false,
+    //   objectCaching: false,
+    //   id : `${layer} graph`,
+    //   groupID : genomeID,
+    //   genome : genomeID
+    // })
+    // canvas.bringToFront(graphObj)
+    pathDirective = []
+  }
+  layer_end_final_coordinates = `L ${final_l} ${layerHeight} L ${startingLeft} ${layerHeight}`
+  globalPathDirective.push(layer_end_final_coordinates)
+
+  let shadedObj = new fabric.Path(globalPathDirective.join(' '))
+  shadedObj.set({
+    top: startingTop,
+    stroke: stroke,
+    fill: stroke,
+    selectable: false,
+    objectCaching: false,
+    id: `${layer}-graph-shaded`,
+    groupID: genomeID,
+    genome: genomeID
+  })
+  canvas.bringToFront(shadedObj)
+  this.addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
 }
 
 /*
  *  Generate individual genome group rulers
  */
-GenomeDrawer.prototype.buildGroupRulerLayer = function(genomeID, layerPos, layerHeight, orderIndex){
+GenomeDrawer.prototype.buildGroupRulerLayer = function (genomeID, layerPos, layerHeight, orderIndex) {
   let startingTop = marginTop + yOffset + layerPos + (orderIndex * groupMargin)
   let startingLeft = xDisps[genomeID]
   // let layerHeight = (spacing / maxGroupSize)
@@ -354,38 +339,42 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function(genomeID, layerPos, layer
   // split ruler into several objects to avoid performance cost of large object pixel size
   let nRulers = 20;
   let w = 0;
-  let [l,r] = getRenderNTRange(genomeID);
-  for(let i = 0; i < nRulers; i++) {
+  let [l, r] = getRenderNTRange(genomeID);
+  for (let i = 0; i < nRulers; i++) {
     let ruler = new fabric.Group();
-    for(; w < (i+1)*genomeMax/nRulers; w+=scaleInterval) {
-      if(w < l) continue;
-      if(w > r) break;
-      let tick = new fabric.Line([0,0,0,20], {left: (w*scaleFactor),
-            stroke: 'black',
-            strokeWidth: 1,
-            fontSize: 10,
-            fontFamily: 'sans-serif'});
-      let lbl = new fabric.Text(w/1000 + " kB", {left: (w*scaleFactor+5),
-            stroke: 'black',
-            strokeWidth: .25,
-            fontSize: 15,
-            fontFamily: 'sans-serif'});
+    for (; w < (i + 1) * genomeMax / nRulers; w += scaleInterval) {
+      if (w < l) continue;
+      if (w > r) break;
+      let tick = new fabric.Line([0, 0, 0, 20], {
+        left: (w * scaleFactor),
+        stroke: 'black',
+        strokeWidth: 1,
+        fontSize: 10,
+        fontFamily: 'sans-serif'
+      });
+      let lbl = new fabric.Text(w / 1000 + " kB", {
+        left: (w * scaleFactor + 5),
+        stroke: 'black',
+        strokeWidth: .25,
+        fontSize: 15,
+        fontFamily: 'sans-serif'
+      });
       ruler.add(tick);
       ruler.add(lbl);
     }
-      ruler.set({
-        left: startingLeft,
-        top: startingTop + (layerHeight/2),
-        lockMovementY: true,
-        hasControls: false,
-        hasBorders: false,
-        lockScaling: true,
-        objectCaching: false,
-        groupID: genomeID,
-        class: 'ruler'
-      });
-      ruler.addWithUpdate();
-      canvas.add(ruler);
+    ruler.set({
+      left: startingLeft,
+      top: startingTop + (layerHeight / 2),
+      lockMovementY: true,
+      hasControls: false,
+      hasBorders: false,
+      lockScaling: true,
+      objectCaching: false,
+      groupID: genomeID,
+      class: 'ruler'
+    });
+    ruler.addWithUpdate();
+    canvas.add(ruler);
   }
   this.addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
 }
@@ -393,7 +382,7 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function(genomeID, layerPos, layer
 /*
  *  adds an alternating shade to each genome group for easier visual distinction amongst adjacent groups
  */
-GenomeDrawer.prototype.addBackgroundShade = function(top, left, width, height, orderIndex){
+GenomeDrawer.prototype.addBackgroundShade = function (top, left, width, height, orderIndex) {
   let backgroundShade;
   orderIndex % 2 == 0 ? backgroundShade = '#b8b8b8' : backgroundShade = '#f5f5f5'
 
@@ -417,13 +406,13 @@ GenomeDrawer.prototype.addBackgroundShade = function(top, left, width, height, o
     height: height,
     fill: "#dbdbdb",
     selectable: false,
-    opacity : .5
+    opacity: .5
   });
   canvas.sendToBack(border)
   canvas.sendToBack(background)
 }
 
-GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
+GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
   let ind = this.settings['genomeData']['genomes'].findIndex(g => g[0] == genomeID);
   let functions = this.settings['genomeData']['genomes'][ind][1].genes.functions[geneID];
 
@@ -434,13 +423,13 @@ GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
 
   // check if gene is highlighted
   let pickerCode = genomeID + '-' + geneID;
-  if($('#picker_' + pickerCode).length > 0) {
+  if ($('#picker_' + pickerCode).length > 0) {
     color = $('#picker_' + pickerCode).attr('color');
   } else {
-    if(cag) {
-       cag = getCleanCagCode(cag);
-       let color_other = $('#picker_Other').length > 0 ? $('#picker_Other').attr('color') : 'white';
-       color = $('#picker_' + cag).length > 0 ? $('#picker_' + cag).attr('color') : color_other;
+    if (cag) {
+      cag = getCleanCagCode(cag);
+      let color_other = $('#picker_Other').length > 0 ? $('#picker_Other').attr('color') : 'white';
+      color = $('#picker_' + cag).length > 0 ? $('#picker_' + cag).attr('color') : color_other;
     } else {
       if (gene.source.startsWith('Ribosomal_RNA')) {
         cag = 'rRNA';
@@ -449,20 +438,20 @@ GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
       } else if (gene.functions !== null) {
         cag = 'Function';
       }
-      if($('#picker_' + cag).length > 0) color = $('#picker_' + cag).attr('color');
+      if ($('#picker_' + cag).length > 0) color = $('#picker_' + cag).attr('color');
     }
   }
 
   // check for set colors
-  if(settings['display']['colors']['genes'][genomeID] && settings['display']['colors']['genes'][genomeID][geneID]) {
+  if (settings['display']['colors']['genes'][genomeID] && settings['display']['colors']['genes'][genomeID][geneID]) {
     color = settings['display']['colors']['genes'][genomeID][geneID];
   }
 
-  let length = (gene.stop-gene.start)*scaleFactor;
-  let stemLength = length-25 > 0 ? length-25 : 0;
+  let length = (gene.stop - gene.start) * scaleFactor;
+  let stemLength = length - 25 > 0 ? length - 25 : 0;
 
   var arrowPathStr;
-  switch(parseInt(style)) {
+  switch (parseInt(style)) {
     case 2: // thicker arrows
       arrowPathStr = 'M ' + stemLength + ' -5 L 0 -5 L 0 15 L ' + stemLength + ' 15 L ' + stemLength + ' 15 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
       break;
@@ -489,13 +478,13 @@ GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
     functions: functions,
     geneID: geneID,
     genomeID: genomeID,
-    top: style == 3 ? y-17 : y-11, // TODO update this offset to reflect genome layer height (we want to render this arrow in the middle of its allocated height)
-    left: xDisps[genomeID] + (1.5+gene.start)*scaleFactor,
+    top: style == 3 ? y - 17 : y - 11, // TODO update this offset to reflect genome layer height (we want to render this arrow in the middle of its allocated height)
+    left: xDisps[genomeID] + (1.5 + gene.start) * scaleFactor,
     fill: color,
     stroke: 'gray',
     strokeWidth: style == 3 ? 3 : 1.5
   });
-  if(gene.direction == 'r') arrow.rotate(180);
+  if (gene.direction == 'r') arrow.rotate(180);
 
   return arrow;
 }
@@ -508,36 +497,36 @@ GenomeDrawer.prototype.geneArrow = function(gene, geneID, y, genomeID, style){
  *  @param geneClusters : array of GC IDs to be shaded
  *  @param colors       : dict defining color of each shade, in the form {geneClusterID : hexColor}
  */
-GenomeDrawer.prototype.shadeGeneClusters = function(geneClusters, colors){
-  if(!genomeData.gene_associations["anvio-pangenome"]) return;
+GenomeDrawer.prototype.shadeGeneClusters = function (geneClusters, colors) {
+  if (!genomeData.gene_associations["anvio-pangenome"]) return;
 
   let y = marginTop;
-  for(var i = 0; i < genomeData.genomes.length-1; i++) {
+  for (var i = 0; i < genomeData.genomes.length - 1; i++) {
     let genomeA = this.settings['genomeData']['genomes'][i][1].genes.gene_calls;
-    let genomeB = this.settings['genomeData']['genomes'][i+1][1].genes.gene_calls;
+    let genomeB = this.settings['genomeData']['genomes'][i + 1][1].genes.gene_calls;
     let genomeID_A = this.settings['genomeData']['genomes'][i][0];
-    let genomeID_B = this.settings['genomeData']['genomes'][i+1][0];
-    let [l1,r1] = getRenderNTRange(genomeID_A);
-    let [l2,r2] = getRenderNTRange(genomeID_B);
+    let genomeID_B = this.settings['genomeData']['genomes'][i + 1][0];
+    let [l1, r1] = getRenderNTRange(genomeID_A);
+    let [l2, r2] = getRenderNTRange(genomeID_B);
 
-    for(gc of geneClusters) {
+    for (gc of geneClusters) {
       let g1 = [], g2 = [];
-      for(geneID of genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID_A]) {
+      for (geneID of genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID_A]) {
         g1.push(genomeA[geneID].start, genomeA[geneID].stop);
       }
-      for(geneID of genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID_B]) {
+      for (geneID of genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID_B]) {
         g2.push(genomeB[geneID].start, genomeB[geneID].stop);
       }
 
       // if shades outside render bounds, don't draw them
-      if(g1[1] < l1 && g2[1] < l2) continue;
-      if(g1[0] > r1 && g2[0] > r2) break;
+      if (g1[1] < l1 && g2[1] < l2) continue;
+      if (g1[0] > r1 && g2[0] > r2) break;
 
-      g1 = g1.map(val => val*scaleFactor + xDisps[genomeID_A]);
-      g2 = g2.map(val => val*scaleFactor + xDisps[genomeID_B]);
+      g1 = g1.map(val => val * scaleFactor + xDisps[genomeID_A]);
+      g2 = g2.map(val => val * scaleFactor + xDisps[genomeID_B]);
 
       /* TODO: implementation for multiple genes of the same genome in the same gene cluster */
-      var path = new fabric.Path("M " + g1[0] + " " + y + " L " + g1[1] + " " + y + " L " + g2[1] + " " + (y+spacing) + " L " + g2[0] + " " + (y+spacing) + " z", {
+      var path = new fabric.Path("M " + g1[0] + " " + y + " L " + g1[1] + " " + y + " L " + g2[1] + " " + (y + spacing) + " L " + g2[0] + " " + (y + spacing) + " z", {
         id: 'link',
         fill: colors[gc],
         opacity: 0.25,
@@ -557,12 +546,12 @@ GenomeDrawer.prototype.shadeGeneClusters = function(geneClusters, colors){
  *    (1) [{genomeID: gid_1, geneID: [id_1, id_2, ...]}, ...]
  *    (2) [{genomeID: gid_1, geneID: id_1}, ...]
  */
-GenomeDrawer.prototype.glowGenes = function(geneParams){
-   // convert geneParams format (1) to format (2)
-   if(Array.isArray(geneParams[0].geneID)) {
+GenomeDrawer.prototype.glowGenes = function (geneParams) {
+  // convert geneParams format (1) to format (2)
+  if (Array.isArray(geneParams[0].geneID)) {
     let newParams = [];
-    for(genome of geneParams) {
-      for(gene of genome.geneID) newParams.push({genomeID:genome.genomeID, geneID:gene});
+    for (genome of geneParams) {
+      for (gene of genome.geneID) newParams.push({ genomeID: genome.genomeID, geneID: gene });
     }
     geneParams = newParams;
   }
@@ -572,12 +561,12 @@ GenomeDrawer.prototype.glowGenes = function(geneParams){
     blur: 30
   });
   var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow' && geneParams.some(g => g.genomeID == obj.genomeID && g.geneID == obj.geneID));
-  for(arrow of arrows) {
+  for (arrow of arrows) {
     arrow.set('shadow', shadow);
     arrow.animate('shadow.blur', 0, {
       duration: 5000,
       onChange: canvas.renderAll.bind(canvas),
-      onComplete: function(){ arrow.shadow = null; },
+      onComplete: function () { arrow.shadow = null; },
       easing: fabric.util.ease['easeInQuad']
     });
   }
@@ -589,23 +578,23 @@ GenomeDrawer.prototype.glowGenes = function(geneParams){
  *
  *  @param gc : target gene cluster ID
  */
-GenomeDrawer.prototype.alignToCluster = function(gc){
-  if(!this.settings['genomeData']['gene_associations']["anvio-pangenome"]) return;
+GenomeDrawer.prototype.alignToCluster = function (gc) {
+  if (!this.settings['genomeData']['gene_associations']["anvio-pangenome"]) return;
 
   let targetGeneInfo = viewCluster(gc);
-  if(targetGeneInfo == null) return;
+  if (targetGeneInfo == null) return;
   let [firstGenomeID, targetGeneMid] = targetGeneInfo;
-  if(firstGenomeID != null) {
+  if (firstGenomeID != null) {
     alignToGC = gc;
     let index = this.settings['genomeData']['genomes'].findIndex(g => g[0] == firstGenomeID);
-    for(var i = index+1; i < this.settings['genomeData']['genomes'].length; i++) {
+    for (var i = index + 1; i < this.settings['genomeData']['genomes'].length; i++) {
       let gid = genomeData.genomes[i][0];
       let geneMids = getGenePosForGenome(genomeData.genomes[i][0], alignToGC);
-      if(geneMids == null) continue;
+      if (geneMids == null) continue;
       let geneMid = geneMids[0]; /* TODO: implementation for multiple matching gene IDs */
       let shift = scaleFactor * (targetGeneMid - geneMid) + (xDisps[firstGenomeID] - xDisps[gid]);
       let objs = canvas.getObjects().filter(obj => obj.groupID == gid);
-      for(o of objs) o.left += shift;
+      for (o of objs) o.left += shift;
       xDisps[gid] += shift;
       canvas.setViewportTransform(canvas.viewportTransform);
 
@@ -619,14 +608,14 @@ GenomeDrawer.prototype.alignToCluster = function(gc){
 /*
  *  Clear all gene links from the canvas.
  */
-GenomeDrawer.prototype.clearShades = function(){
+GenomeDrawer.prototype.clearShades = function () {
   canvas.getObjects().filter(obj => obj.id == 'link').forEach((l) => { canvas.remove(l) });
 }
 
-GenomeDrawer.prototype.setPtsPerADL = function(newResolution){
-  if(isNaN(newResolution)) return;
+GenomeDrawer.prototype.setPtsPerADL = function (newResolution) {
+  if (isNaN(newResolution)) return;
   newResolution = parseInt(newResolution);
-  if(newResolution < 0 || newResolution > genomeMax) {
+  if (newResolution < 0 || newResolution > genomeMax) {
     alert(`Invalid value, genome spacing must be in range 0-${genomeMax}.`);
     return;
   }
@@ -634,13 +623,13 @@ GenomeDrawer.prototype.setPtsPerADL = function(newResolution){
   this.draw();
 }
 
-GenomeDrawer.prototype.showAllADLPts = function(){
+GenomeDrawer.prototype.showAllADLPts = function () {
   this.setPtsPerADL(genomeMax);
   $('#showAllADLPtsBtn').blur();
 }
 
-GenomeDrawer.prototype.alignRulers = function(){
-  for(genome of this.settings['genomeData']['genomes']) {
+GenomeDrawer.prototype.alignRulers = function () {
+  for (genome of this.settings['genomeData']['genomes']) {
     xDisps[genome[0]] = xDisplacement;
   }
   percentScale = false;
@@ -652,10 +641,10 @@ GenomeDrawer.prototype.alignRulers = function(){
   $('#alignRulerBtn').blur();
 }
 
-GenomeDrawer.prototype.setGenomeSpacing = function(newSpacing){
-  if(isNaN(newSpacing)) return;
+GenomeDrawer.prototype.setGenomeSpacing = function (newSpacing) {
+  if (isNaN(newSpacing)) return;
   newSpacing = parseInt(newSpacing);
-  if(newSpacing < 0 || newSpacing > 1000) {
+  if (newSpacing < 0 || newSpacing > 1000) {
     alert(`Invalid value, genome spacing must be in range 0-1000.`);
     return;
   }
@@ -663,10 +652,10 @@ GenomeDrawer.prototype.setGenomeSpacing = function(newSpacing){
   this.draw();
 }
 
-GenomeDrawer.prototype.setScaleInterval = function(newScale){
-  if(isNaN(newScale)) return;
+GenomeDrawer.prototype.setScaleInterval = function (newScale) {
+  if (isNaN(newScale)) return;
   newScale = parseInt(newScale);
-  if(newScale < 50) {
+  if (newScale < 50) {
     alert(`Invalid value, scale interval must be >=50.`);
     return;
   }
@@ -674,29 +663,29 @@ GenomeDrawer.prototype.setScaleInterval = function(newScale){
   this.draw();
 }
 
-GenomeDrawer.prototype.setGeneLabelSize = function(newSize){
-  if(isNaN(newSize)) return;
+GenomeDrawer.prototype.setGeneLabelSize = function (newSize) {
+  if (isNaN(newSize)) return;
   newSize = parseInt(newSize);
-  if(newSize < 0 || newSize > 1000) {
+  if (newSize < 0 || newSize > 1000) {
     alert(`Invalid value, gene label size must be in range 0-1000.`);
     return;
   }
   geneLabelSize = newSize;
-  if(showGeneLabels) this.draw();
+  if (showGeneLabels) this.draw();
 }
 
-GenomeDrawer.prototype.setGenomeLabelSize = function(newSize){
-  if(isNaN(newSize)) return;
+GenomeDrawer.prototype.setGenomeLabelSize = function (newSize) {
+  if (isNaN(newSize)) return;
   newSize = parseInt(newSize);
-  if(newSize < 0 || newSize > 1000) {
+  if (newSize < 0 || newSize > 1000) {
     alert(`Invalid value, genome label size must be in range 0-1000.`);
     return;
   }
   genomeLabelSize = newSize;
-  if(showLabels) this.draw();
+  if (showLabels) this.draw();
 }
 
-GenomeDrawer.prototype.redrawSingleGenome = function(genomeID){
+GenomeDrawer.prototype.redrawSingleGenome = function (genomeID) {
   canvas.getObjects().filter(o => o.groupID == genomeID).forEach(obj => canvas.remove(obj));
   let idx = this.settings['genomeData']['genomes'].findIndex(obj => obj[0] == genomeID);
   this.addLayers(idx);
@@ -706,40 +695,40 @@ GenomeDrawer.prototype.redrawSingleGenome = function(genomeID){
 /*
  *  Dynamically set scale tick interval based on scaleFactor.
  */
-GenomeDrawer.prototype.adjustScaleInterval = function(){
-  let val = Math.floor(100/scaleFactor);
+GenomeDrawer.prototype.adjustScaleInterval = function () {
+  let val = Math.floor(100 / scaleFactor);
   let roundToDigits = Math.floor(Math.log10(val)) - 1;
-  let newInterval = Math.floor(val/(10**roundToDigits)) * (10**roundToDigits);
+  let newInterval = Math.floor(val / (10 ** roundToDigits)) * (10 ** roundToDigits);
   scaleInterval = newInterval;
   $('#genome_scale_interval').val(scaleInterval);
 }
 
-GenomeDrawer.prototype.queryFunctions = function(){
+GenomeDrawer.prototype.queryFunctions = function () {
   let query = $('#function_search_query').val()
   let category = $('#function_search_category').val()
   let glowPayload = []
   let foundInGenomes = {}
 
-  if(!query || !category){
+  if (!query || !category) {
     alert('please provide values for function category and/or query')
     return
   }
 
   this.settings['genomeData']['genomes'].map(genome => {
-    for (const [key, value] of Object.entries(genome[1]['genes']['functions'])){
-      if (value[category]?.[1].includes(query)){
+    for (const [key, value] of Object.entries(genome[1]['genes']['functions'])) {
+      if (value[category]?.[1].includes(query)) {
         let glowObject = {
-          genomeID : genome[0],
-          geneID : key
+          genomeID: genome[0],
+          geneID: key
         }
         glowPayload.push(glowObject)
-        if(!(genome[0] in foundInGenomes)){
+        if (!(genome[0] in foundInGenomes)) {
           foundInGenomes[genome[0]] = true
         }
       }
     }
   })
-  if(glowPayload.length < 1){
+  if (glowPayload.length < 1) {
     alert(`No hits were found matching ${query} in ${category}`)
     return
   }
@@ -749,8 +738,8 @@ GenomeDrawer.prototype.queryFunctions = function(){
     let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
     let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
 
-    if(start < lowestStart || lowestStart == null) lowestStart = start
-    if(end > highestEnd || highestEnd == null) highestEnd = end
+    if (start < lowestStart || lowestStart == null) lowestStart = start
+    if (end > highestEnd || highestEnd == null) highestEnd = end
   })
 
   $('#function-query-results-statement').text(`Retreived ${glowPayload.length} hit(s) from ${Object.keys(foundInGenomes).length} genomes`)
diff --git a/anvio/tests/genome-view.db b/anvio/tests/genome-view.db
new file mode 100644
index 0000000000000000000000000000000000000000..d303c5cb92ea5a3a627e7eb3d4fdc4430046f497
GIT binary patch
literal 12288
zcmeI%!Aiq07zgmQopT@~UW$xeq9Sgvjdd-n2SKNdU3O7-5~O5n=89W8+Bn_Ocko$!
z0PjA4;9K|tW_ANTc=9&>AAD)PBz%S6E$!7sH;{r2qj<t4v&lBmG;+!qAta~LP`L_S
zO){%OJ+&Y6zot1-J9*EmU7ZdIeN_Vj0uX=z1Rwwb2tWV=5P$##Ah5Oq*ZSs8p`blc
z$@^oGNG?T^j>h?AyVYy6UhAyeX6YI$g?u8I6pymP22m(QD3{fkC(@flelQG#|Gic|
z*0MXMsokWl#dw&g)PJ{CE39-U=F2WKKE6-;mlt>QES(biNk8ZteWA~)KtKQj5P$##
zAOHafKmY;|fB*y_@GpVAtYIJAiZGf8Zx)CL&+mI9o{SbbupP(mH+{BY999Rh;4+9p
z&sQG{tftej>dl7h){b1)am|cT+)ukCow`-&)Eg@8ykYDT)o{k+fQQo5)hSiV`BbEb
ttBY4|X-1LGM4YJZ*5dxJe)=OI009U<00Izz00bZa0SG_<0uWeZfiG?5YSRD!

literal 0
HcmV?d00001


From 6e636e448e23d59e06771c37c1c497e99bb588cc Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 19 Jan 2022 19:40:41 +0000
Subject: [PATCH 0582/1020] code comment

---
 anvio/data/interactive/js/genomeview/drawer.js | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index c9bd4b2aa5..feadd9c72a 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -196,7 +196,6 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
     function setGeneLabelFromSource(geneID, genomeID) {
       let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == genomeID)
       let source = $('#gene_label_source').val()
-      // console.log(genomeOfInterest[0][1]['genes']['functions'][geneID])
 
       if (source == 'default') {
         return `${geneID}`
@@ -208,6 +207,10 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
           return 'None'
         }
       } else {
+        // operating under the assumption that
+        // A) the relevant source value lives at index 1 of the source array
+        // B) the selected value from the #gene_label_source dropdown === the source object itself (and it should, since we build the dropdown programmatically!)
+        // this below logic should retrieve the correct annotation value, regardless of source
         if (genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty(source) && genomeOfInterest[0][1]['genes']['functions'][geneID][source]) {
           return ellipsisMachine(genomeOfInterest[0][1]['genes']['functions'][geneID][source][1])
         } else {

From 18d7aa4bac63628309a114643d5a803a60c4adc9 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 19 Jan 2022 19:48:33 +0000
Subject: [PATCH 0583/1020] generate gene function query source options

---
 anvio/data/interactive/genomeview.html     |  5 ----
 anvio/data/interactive/js/genomeview/ui.js | 33 ++++++++++++----------
 2 files changed, 18 insertions(+), 20 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 07f5aa8e29..e70107b6cb 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -113,11 +113,6 @@
                               <td>Category: </td>
                               <td>
                                 <select class="type_multiple" id='function_search_category' style="width: 100px;" class="type">
-                                  <option value="">Function Category</option>
-                                  <option value='COG_FUNCTION'>COG Function</option>
-                                  <option value='COG_CATEGORY'>COG Category</option>
-                                  <option value='kegg'>Kegg</option>
-                                  <option value='EGGNOG_BACT'>Eggnog</option>
                                 </select>
                               </td>
                             </tr>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index f822c4a37f..61c99edf1a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -291,6 +291,19 @@ function showDeepDiveToolTip(event){
   $('#tooltip-body').html('').hide() // empty out & hide any previous tooltip instances
   $('#deepdive-tooltip-body').html('').hide()
 
+  let totalAnnotationsString = ''
+  if(event.target.functions){
+    Object.entries(event.target.functions).map(func => {
+      totalAnnotationsString += `
+      <tr>
+      <td>${func[0]}</td>
+      <td>accession?</td>
+      <td>${func?.[1]?.[1]}</td>
+      </tr>
+      `
+    })
+  }
+
   $('#deepdive-tooltip-body').show().append(`
   <span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
   <h2>Gene Call</h2>
@@ -328,20 +341,8 @@ function showDeepDiveToolTip(event){
   <th>Accession</th>;
   <th>Annotation</th></thead>;
   <tbody>;
-  <tr>
-  <td>COG-Category</td>
-  <td>idk</td>
-  <td>${event.target?.functions?.COG_CATEGORY?.[1]}<td/>
-  </tr>
-  <tr>
-  <td>COG-Function</td>
-  <td>idk</td>
-  <td>${event.target?.functions?.COG_FUNCTION?.[1]}<td/>
-  </tr>
-  <td>EGGNOG</td>
-  <td>idk</td>
-  <>${event.target?.functions?.EGGNOG_BACT?.[1]}<td/>
-  </tr></tbody></table>;
+  ${totalAnnotationsString}
+  </tbody></table>;
   <button type="button" class="btn btn-default btn-sm" onClick="$('#deepdive-tooltip-body').html('').hide()">close</>
   `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
 
@@ -412,7 +413,7 @@ function showToolTip(event){
     <th>Annotation</th></thead>;
     <tbody>;
     ${totalAnnotationsString}
-    </tbody>
+    </tbody></table>
 
     `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
 }
@@ -901,5 +902,7 @@ function buildGeneLabelsSelect(){
   })
   Object.keys(sourcesObj).forEach(source => {
     $("#gene_label_source").append(new Option(source, source));
+    // we can also build the dropdown UI element for source-selection in functional querying
+    $("#function_search_category").append(new Option(source, source))
   })
 }
\ No newline at end of file

From 438c38d44fa62846ff266c9de84812ed4008c590 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 19 Jan 2022 20:14:10 +0000
Subject: [PATCH 0584/1020] render accession data

---
 anvio/data/interactive/js/genomeview/ui.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 61c99edf1a..d16966f7ac 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -297,7 +297,7 @@ function showDeepDiveToolTip(event){
       totalAnnotationsString += `
       <tr>
       <td>${func[0]}</td>
-      <td>accession?</td>
+      <td>${func[1][0]}</td>
       <td>${func?.[1]?.[1]}</td>
       </tr>
       `
@@ -384,7 +384,7 @@ function showToolTip(event){
       totalAnnotationsString += `
       <tr>
       <td>${func[0]}</td>
-      <td>accession?</td>
+      <td>${func[1][0]}</td>
       <td>${func?.[1]?.[1]}</td>
       </tr>
       `

From 61145781c5229cce4bbf5900739d31a184d1b242 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 19 Jan 2022 20:22:36 +0000
Subject: [PATCH 0585/1020] safety check for accession values

---
 anvio/data/interactive/js/genomeview/ui.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index d16966f7ac..4158068837 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -297,7 +297,7 @@ function showDeepDiveToolTip(event){
       totalAnnotationsString += `
       <tr>
       <td>${func[0]}</td>
-      <td>${func[1][0]}</td>
+      <td>${func[1] ? func[1][0] : 'n/a'}</td>
       <td>${func?.[1]?.[1]}</td>
       </tr>
       `
@@ -384,7 +384,7 @@ function showToolTip(event){
       totalAnnotationsString += `
       <tr>
       <td>${func[0]}</td>
-      <td>${func[1][0]}</td>
+      <td>${func[1] ? func[1][0] : 'n/a'}</td>
       <td>${func?.[1]?.[1]}</td>
       </tr>
       `

From 31906fdf8ba5de84296dd9c5128142d6c09ab30d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 20 Jan 2022 20:28:27 +0000
Subject: [PATCH 0586/1020] we dont use this rn!

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index feadd9c72a..4d53c54011 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -51,7 +51,7 @@ GenomeDrawer.prototype.addLayers = function (orderIndex) {
   let layerPos = 0
   let genomeID = this.settings['genomeData']['genomes'][orderIndex][0];
   let genome = this.settings['genomeData']['genomes'][orderIndex][1];
-  let label = genome.genes.gene_calls[0].contig;
+  // let label = genome.genes.gene_calls[0].contig;
 
   let additionalDataLayers = this.settings['additional-data-layers']['data'][genomeID]
 

From 680ca0f71e83fe9d4737260f5d2798d990be3eca Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 24 Jan 2022 21:13:18 +0000
Subject: [PATCH 0587/1020] semi-clean

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 4d53c54011..a788d3c265 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -50,7 +50,7 @@ GenomeDrawer.prototype.addLayers = function (orderIndex) {
   yOffset = orderIndex * spacing + (orderIndex * maxGroupSize * groupLayerPadding);
   let layerPos = 0
   let genomeID = this.settings['genomeData']['genomes'][orderIndex][0];
-  let genome = this.settings['genomeData']['genomes'][orderIndex][1];
+  // let genome = this.settings['genomeData']['genomes'][orderIndex][1];
   // let label = genome.genes.gene_calls[0].contig;
 
   let additionalDataLayers = this.settings['additional-data-layers']['data'][genomeID]

From bb20585ee934db28bdb9d18d5188b5dbe4b02382 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 24 Jan 2022 21:16:23 +0000
Subject: [PATCH 0588/1020] beefier default arrow, beefiest chonker arrow

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index a788d3c265..f9f6077c01 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -456,7 +456,7 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
   var arrowPathStr;
   switch (parseInt(style)) {
     case 2: // thicker arrows
-      arrowPathStr = 'M ' + stemLength + ' -5 L 0 -5 L 0 15 L ' + stemLength + ' 15 L ' + stemLength + ' 15 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
+      arrowPathStr = 'M ' + stemLength + ' -5 L 0 -5 L 0 20 L ' + stemLength + ' 20 L ' + stemLength + ' 20 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
       break;
     case 3: // pentagon arrows
       arrowPathStr = 'M 0 0 L ' + stemLength + ' 0 L ' + length + ' 20 L ' + stemLength + ' 40 L 0 40 L 0 0 z';
@@ -465,7 +465,7 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
       arrowPathStr = 'M ' + length + ' -5 L 0 -5 L 0 15 L ' + length + ' 15 z';
       break;
     default: // 'inspect page' arrows
-      arrowPathStr = 'M ' + stemLength + ' 0 L 0 0 L 0 10 L ' + stemLength + ' 10 L ' + stemLength + ' 10 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
+      arrowPathStr = 'M ' + stemLength + ' 0 L 0 0 L 0 15 L ' + stemLength + ' 15 L ' + stemLength + ' 15 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
       break;
   }
 

From 95842718643d1c328d1dfc02ccaae73e8ef874a2 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 24 Jan 2022 21:17:49 +0000
Subject: [PATCH 0589/1020] fix

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index f9f6077c01..5d3743e643 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -456,7 +456,7 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
   var arrowPathStr;
   switch (parseInt(style)) {
     case 2: // thicker arrows
-      arrowPathStr = 'M ' + stemLength + ' -5 L 0 -5 L 0 20 L ' + stemLength + ' 20 L ' + stemLength + ' 20 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
+      arrowPathStr = 'M ' + stemLength + ' -10 L 0 -10 L 0 20 L ' + stemLength + ' 20 L ' + stemLength + ' 20 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
       break;
     case 3: // pentagon arrows
       arrowPathStr = 'M 0 0 L ' + stemLength + ' 0 L ' + length + ' 20 L ' + stemLength + ' 40 L 0 40 L 0 0 z';

From 7bf1c5f030f7da4235e53a554d4a791c3c71fb0f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 24 Jan 2022 21:21:58 +0000
Subject: [PATCH 0590/1020] render deepdive tooltip in viewport venter

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 4158068837..4cb4f7e28b 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -344,7 +344,7 @@ function showDeepDiveToolTip(event){
   ${totalAnnotationsString}
   </tbody></table>;
   <button type="button" class="btn btn-default btn-sm" onClick="$('#deepdive-tooltip-body').html('').hide()">close</>
-  `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
+  `).css({'position' : 'absolute', 'left' : window.innerWidth/2 -200, 'top' : window.innerHeight/2 -200 }) // display deepdive tooltip roughly centered in viewport
 
   $('#gene-dna-sequence-button').on('click', function(){
     show_sequence_modal('DNA Sequence', settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence'])

From 414ad336e05167e0262d666d57db39b56966218e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 24 Jan 2022 21:41:38 +0000
Subject: [PATCH 0591/1020] global var for zoomout context

---
 anvio/data/interactive/js/genomeview/main.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 323a24832e..b6afb0bdda 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -56,6 +56,7 @@ var geneLabelAngle = 0;
 var thresh_count_gene_colors = 4; // min # occurences of annotation for filtering gene color table
 var order_gene_colors_by_count = true; // if true, order annotations on gene color table by descending order of count, otherwise order alphabetically
 var filter_gene_colors_to_window = false; // if true, only display gene colors in current render window, otherwise show all gene colors in split
+var firstDraw = true // flag to determine whether to set zoom to initial zoom level
 var mainCanvasHeight;
 var canvas;
 var genomeLabelsCanvas;

From 5602c26fbfb5009a12767c6184fe973ed024f372 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 24 Jan 2022 21:41:56 +0000
Subject: [PATCH 0592/1020] set first-load zoom level

---
 anvio/data/interactive/js/genomeview/drawer.js | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 5d3743e643..881f570d56 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -39,6 +39,11 @@ GenomeDrawer.prototype.draw = function () {
   checkGeneLabels();
   drawTestShades();
   $('.loading-screen').hide();
+
+  if(firstDraw){
+    this.setInitialZoom()
+    firstDraw = false
+  }
 }
 
 /*
@@ -748,4 +753,10 @@ GenomeDrawer.prototype.queryFunctions = function () {
   $('#function-query-results-statement').text(`Retreived ${glowPayload.length} hit(s) from ${Object.keys(foundInGenomes).length} genomes`)
   zoomOut('partial', lowestStart, highestEnd)
   this.glowGenes(glowPayload)
+}
+
+GenomeDrawer.prototype.setInitialZoom = function(){
+    let start = 0
+    let stop = genomeMax > 35000 ? 35000 : genomeMax
+    zoomOut('partial', start, stop)
 }
\ No newline at end of file

From 39f219b0583cbc1912dbdbf1da097e872f2b8cd7 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 31 Jan 2022 16:26:49 +0000
Subject: [PATCH 0593/1020] set tooltip event listener first

---
 anvio/data/interactive/js/genomeview/ui.js | 19 +++++++++----------
 1 file changed, 9 insertions(+), 10 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 4cb4f7e28b..870c6e2e40 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -27,6 +27,15 @@
  *  set event listeners for DOM elements, user input, default jquery values
  */
 function setEventListeners(){
+  canvas.on('mouse:over', (event) => {
+    if (event.target && event.target.id === 'arrow') {
+      showToolTip(event)
+    }
+  })
+
+  canvas.on('mouse:out', (event) => {
+    $('#tooltip-body').html('').hide()
+  })
   // panning
   canvas.on('mouse:down', function (opt) {
     var evt = opt.e;
@@ -270,16 +279,6 @@ function setEventListeners(){
     }
   })
 
-  canvas.on('mouse:over', (event) => {
-    if (event.target && event.target.id === 'arrow') {
-      showToolTip(event)
-    }
-  })
-
-  canvas.on('mouse:out', (event) => {
-    $('#tooltip-body').html('').hide()
-  })
-
   canvas.on('mouse:down', (event) => {
     if(event.target && event.target.id === 'arrow'){
       showDeepDiveToolTip(event)

From 4b7de025ddfb18b384828b84e164d0c4d8dc4f02 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 31 Jan 2022 16:28:15 +0000
Subject: [PATCH 0594/1020] remove layer border, lock non-interactive elements

---
 anvio/data/interactive/js/genomeview/drawer.js | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 881f570d56..61653da218 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -142,6 +142,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
     top: y + 4,
     stroke: 'black',
     strokeWidth: 2,
+    selectable: false,
     lockMovementY: true,
     hasControls: false,
     hasBorders: false,
@@ -163,7 +164,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
     if (gene.start < ntStart) continue;
     if (gene.stop > ntStop) return;
     var geneObj = this.geneArrow(gene, geneID, y, genomeID, this.settings['display']['arrow-style']);
-    canvas.add(geneObj);
+    canvas.bringToFront(geneObj);
 
     if (showGeneLabels) {
       var label = new fabric.IText(setGeneLabelFromSource(geneID, genomeID), {
@@ -412,11 +413,11 @@ GenomeDrawer.prototype.addBackgroundShade = function (top, left, width, height,
     left: left,
     width: width,
     height: height,
-    fill: "#dbdbdb",
+    fill: "#b0b0b0",
     selectable: false,
     opacity: .5
   });
-  canvas.sendToBack(border)
+  // canvas.sendToBack(border)
   canvas.sendToBack(background)
 }
 
@@ -479,6 +480,7 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
     id: 'arrow',
     groupID: genomeID,
     lockMovementY: true,
+    selectable: false,
     hasControls: false,
     hasBorders: false,
     lockScaling: true,

From f215355aa389f301fe5ac7e919b40df206d367b9 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 9 Feb 2022 17:02:55 +0000
Subject: [PATCH 0595/1020] store/capture metadata in settings obj

---
 anvio/data/interactive/js/genomeview/main.js | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index b6afb0bdda..fd04fcd55f 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -277,6 +277,12 @@ function processState(stateName, stateData) {
     respondToBookmarkSelect() // set listener for user bookmark selection
   }
 
+  if (stateData.hasOwnProperty('metadata')) {
+    settings['display']['metadata'] = stateData['display']
+  } else {
+    settings['display']['metadata'] = []
+  }
+
   if (stateData.hasOwnProperty('user-gene-labels')){
     settings['display']['labels']['gene-labels'] = stateData['user-gene-labels']
   }

From 29c39f114c25cad2e9df8ad0d123f1ea1b8e43b3 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 9 Feb 2022 17:03:17 +0000
Subject: [PATCH 0596/1020] wire up metadata UI

---
 anvio/data/interactive/js/genomeview/ui.js | 27 ++++++++++++++++++----
 1 file changed, 23 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 870c6e2e40..ca925914c4 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -328,11 +328,11 @@ function showDeepDiveToolTip(event){
 
   <br>
   <h2>metadata<h2/>
-  <input type='text' placeholder='custom gene label'>
-  <button type='button' class="btn btn-default btn-sm">add gene label</button>
+  <input    id='metadata-gene-label' type='text' placeholder='custom gene label'>
+  <button   id='metadata-gene-label-add' type='button' class="btn btn-default btn-sm">add gene label</button>
   <br>
-  <textarea placeholder='gene description'></textarea>
-  <button type='button' class="btn btn-default btn-sm">add gene description</button>
+  <textarea id='metadata-gene-description' placeholder='gene description'></textarea>
+  <button   id='metadata-gene-description-add' type='button' class="btn btn-default btn-sm">add gene description</button>
 
   <h2>Annotations</h2>;
   <table class="table table-striped">;
@@ -374,6 +374,25 @@ function showDeepDiveToolTip(event){
     let sequenceConcat = '>' + 'DNA_SEQUENCE' + '\n' + sequence
     fire_up_ncbi_blast(sequenceConcat, 'blastn', 'refseq_genomic', 'gene')
   })
+
+  $('#metadata-gene-label-add').on('click', function(){
+    let metadataObj = {
+      label  : $('#metadata-gene-label').val(),
+      genome : event.target.genomeId,
+      gene   : event.target.geneID
+    }
+    settings['display']['metadata'].push(metadataObj)
+    $('#metadata-gene-label').val('')
+  })
+  $('#metadata-gene-description-add').on('click', function(){
+    let metadataObj = {
+      label  : $('#metadata-gene-description').val(),
+      genome : event.target.genomeId,
+      gene   : event.target.geneID
+    }
+    settings['display']['metadata'].push(metadataObj)
+    $('#metadata-gene-description').val('')
+  })
 }
 
 function showToolTip(event){

From 3213df1b416eb4003babdcb1ff533bc8ca926da6 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 9 Feb 2022 17:18:35 +0000
Subject: [PATCH 0597/1020] retrieve gene metadata upon deepdive initiation

---
 anvio/data/interactive/js/genomeview/ui.js | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index ca925914c4..0325ca4854 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -290,6 +290,14 @@ function showDeepDiveToolTip(event){
   $('#tooltip-body').html('').hide() // empty out & hide any previous tooltip instances
   $('#deepdive-tooltip-body').html('').hide()
 
+  function getAndShowMetadata(){
+    console.log(settings['display']['metadata'])
+    let metadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID )
+    console.log(metadata)
+  }
+
+  getAndShowMetadata()
+
   let totalAnnotationsString = ''
   if(event.target.functions){
     Object.entries(event.target.functions).map(func => {
@@ -378,7 +386,7 @@ function showDeepDiveToolTip(event){
   $('#metadata-gene-label-add').on('click', function(){
     let metadataObj = {
       label  : $('#metadata-gene-label').val(),
-      genome : event.target.genomeId,
+      genome : event.target.genomeID,
       gene   : event.target.geneID
     }
     settings['display']['metadata'].push(metadataObj)
@@ -387,7 +395,7 @@ function showDeepDiveToolTip(event){
   $('#metadata-gene-description-add').on('click', function(){
     let metadataObj = {
       label  : $('#metadata-gene-description').val(),
-      genome : event.target.genomeId,
+      genome : event.target.genomeID,
       gene   : event.target.geneID
     }
     settings['display']['metadata'].push(metadataObj)

From f2ceb516b69f9c2dcf9f4f4a223650e9833c5a04 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 14 Feb 2022 14:55:10 +0000
Subject: [PATCH 0598/1020] wire up metadata capture + display

---
 anvio/data/interactive/js/genomeview/ui.js | 28 ++++++++++++++--------
 1 file changed, 18 insertions(+), 10 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 0325ca4854..88bee90eaf 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -289,16 +289,22 @@ function setEventListeners(){
 function showDeepDiveToolTip(event){
   $('#tooltip-body').html('').hide() // empty out & hide any previous tooltip instances
   $('#deepdive-tooltip-body').html('').hide()
+  let totalMetadataString = String()
+  let totalAnnotationsString = String()
 
   function getAndShowMetadata(){
-    console.log(settings['display']['metadata'])
-    let metadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID )
-    console.log(metadata)
+    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID )
+    let totalMetadataString = String()
+    for (metadata in geneMetadata){
+      totalMetadataString += `
+      <tr>
+      <td>${metadata.label}</td>
+      </tr>
+      `
+    }
   }
 
   getAndShowMetadata()
-
-  let totalAnnotationsString = ''
   if(event.target.functions){
     Object.entries(event.target.functions).map(func => {
       totalAnnotationsString += `
@@ -336,11 +342,13 @@ function showDeepDiveToolTip(event){
 
   <br>
   <h2>metadata<h2/>
-  <input    id='metadata-gene-label' type='text' placeholder='custom gene label'>
-  <button   id='metadata-gene-label-add' type='button' class="btn btn-default btn-sm">add gene label</button>
-  <br>
-  <textarea id='metadata-gene-description' placeholder='gene description'></textarea>
-  <button   id='metadata-gene-description-add' type='button' class="btn btn-default btn-sm">add gene description</button>
+  <div id='metadata-container'>
+      <input    id='metadata-gene-label' type='text' placeholder='metadata tag'>
+      <button   id='metadata-gene-label-add' type='button' class="btn btn-default btn-sm">add tag</button>
+      <br>
+      <textarea id='metadata-gene-description' placeholder='metadata description'></textarea>
+      <button   id='metadata-gene-description-add' type='button' class="btn btn-default btn-sm">add description</button>
+  </div>
 
   <h2>Annotations</h2>;
   <table class="table table-striped">;

From cb3bec57d151965be39e7fffb8ce77d68779d828 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 16 Feb 2022 14:08:40 +0000
Subject: [PATCH 0599/1020] draw scale + set event listeners regardless of load
 type

---
 anvio/data/interactive/js/genomeview/main.js | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index fd04fcd55f..022f78265a 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -339,10 +339,10 @@ function loadAll(loadType) {
 
   buildGenomesTable(settings['genomeData']['genomes'], 'alphabetical') // hardcode order method until backend order data is hooked in
   if(loadType == 'init'){
-    drawScale();
-    setEventListeners()
     generateColorTable(fn_colors = null, fn_type = color_db);
   }
+  drawScale();
+  setEventListeners()
 
   buildGeneLabelsSelect()
   brush.extent([parseInt($('#brush_start').val()), parseInt($('#brush_end').val())]);
@@ -351,5 +351,5 @@ function loadAll(loadType) {
 
   console.log('Sending this data obj to GenomeDrawer', settings)
   drawer = new GenomeDrawer(settings)
-  drawer.draw()
+  drawer.draw('draw from loadAll')
 }

From 124c89fd5e9eb640894ea4c4f7b8b824ac98411e Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 18 Feb 2022 14:11:34 +0000
Subject: [PATCH 0600/1020] hook in toastr success on-load

---
 anvio/data/interactive/js/genomeview/main.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 022f78265a..93487e8509 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -352,4 +352,5 @@ function loadAll(loadType) {
   console.log('Sending this data obj to GenomeDrawer', settings)
   drawer = new GenomeDrawer(settings)
   drawer.draw('draw from loadAll')
+  toastr.success(`Successfully loaded from ${settings['state-name']} state`)
 }

From 80dd4d622f0111bb1b0aa08be9bc25682610676a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 18 Feb 2022 14:17:55 +0000
Subject: [PATCH 0601/1020] use toastr + try/catch for bookmark select

---
 anvio/data/interactive/js/genomeview/ui.js | 17 +++++++++++------
 1 file changed, 11 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 88bee90eaf..c857aa772b 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -390,7 +390,7 @@ function showDeepDiveToolTip(event){
     let sequenceConcat = '>' + 'DNA_SEQUENCE' + '\n' + sequence
     fire_up_ncbi_blast(sequenceConcat, 'blastn', 'refseq_genomic', 'gene')
   })
-
+  // TODO consider metadata option to include 'author' field
   $('#metadata-gene-label-add').on('click', function(){
     let metadataObj = {
       label  : $('#metadata-gene-label').val(),
@@ -725,11 +725,16 @@ function respondToBookmarkSelect(){
     let [start, stop] = [$(this).val().split(',')[0], $(this).val().split(',')[1] ]
     $('#brush_start').val(start);
     $('#brush_end').val(stop);
-    brush.extent([start, stop]);
-        brush(d3.select(".brush").transition());
-        brush.event(d3.select(".brush").transition());
-    let selectedBookmark = settings['display']['bookmarks'].find(bookmark => bookmark.start == start && bookmark.stop == stop)
-    $('#bookmark-description').text(selectedBookmark['description'])
+    try {
+      brush.extent([start, stop]);
+          brush(d3.select(".brush").transition());
+          brush.event(d3.select(".brush").transition());
+      let selectedBookmark = settings['display']['bookmarks'].find(bookmark => bookmark.start == start && bookmark.stop == stop)
+      $('#bookmark-description').text(selectedBookmark['description'])
+      toastr.success("Bookmark successfully loaded")
+    } catch (error) {
+      toastr.warn(`Unable to load bookmark because of an error ${error}`)
+    }
   })
 }
 

From 84eefc576ce6da26a94567f7d623c838a346a2b1 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 18 Feb 2022 14:42:17 +0000
Subject: [PATCH 0602/1020] use toastr

---
 anvio/data/interactive/js/genomeview/main.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 93487e8509..80db8f524d 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -173,7 +173,7 @@ function loadState() {
       }
     },
     error: function(resp){
-      console.log(resp)
+      toastr.error(resp)
     }
   })
 }

From 05d6037921fb98b6eb91b225eeba24f92b5427c9 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:23:48 +0000
Subject: [PATCH 0603/1020] Revert "consistently use shell() in snakemake"

This reverts commit fce9eab4398e95de8df9eb0444f8637010e22704.
---
 .../bug-report---technical-problem.md         |   34 +
 .github/ISSUE_TEMPLATE/bug-report.md          |   34 -
 .../ISSUE_TEMPLATE/feature-request---idea.md  |   20 +
 .github/ISSUE_TEMPLATE/feature-request.md     |   20 -
 .github/ISSUE_TEMPLATE/start-a-discussion.md  |    4 +-
 .gitignore                                    |    2 +-
 AUTHORS.txt                                   |   74 +-
 Dockerfile                                    |    2 +-
 NEWS.md                                       |    2 +-
 anvio/__init__.py                             |  177 +-
 anvio/argparse.py                             |   11 +-
 anvio/authors.py                              |    3 +-
 anvio/auxiliarydataops.py                     |   15 +-
 anvio/bamops.py                               |  215 +-
 anvio/bottleroutes.py                         |    8 +-
 anvio/clustering.py                           |   34 +-
 anvio/cogs.py                                 |    7 +-
 anvio/completeness.py                         |   42 +-
 anvio/constants.py                            |   55 -
 anvio/contigops.py                            |    4 +-
 anvio/data/interactive/css/main.css           |    3 +-
 .../data/interactive/images/logo-inverted.png |  Bin 127758 -> 0 bytes
 anvio/data/interactive/index.html             |   35 +-
 anvio/data/interactive/js/bin.js              |   17 +-
 anvio/data/interactive/js/charts.js           |  112 +-
 anvio/data/interactive/js/main.js             |   17 +-
 anvio/data/interactive/js/news.js             |   53 +-
 anvio/data/interactive/js/svg-helpers.js      |    7 +-
 anvio/data/mini-states/display-functions.json |    7 -
 .../DEVELOPERS.yaml => AUTHORS/AUTHORS.yaml}  |  113 +-
 .../AVATARS/AstrobioMike.jpg                  |  Bin
 .../AVATARS/FlorianTrigodet.jpg               |  Bin
 .../AVATARS/Jessica-Pan.png                   |  Bin
 .../AVATARS/ShaiberAlon.jpg                   |  Bin
 .../{PEOPLE => AUTHORS}/AVATARS/adw96.jpg     |  Bin
 .../AVATARS/efogarty11.jpg                    |  Bin
 .../{PEOPLE => AUTHORS}/AVATARS/ekiefl.jpg    |  Bin
 .../AVATARS/isaacfink21.png                   |  Bin
 .../{PEOPLE => AUTHORS}/AVATARS/ivagljiva.jpg |  Bin
 .../AVATARS/mahmoudyousef98.jpg               |  Bin
 .../AVATARS/matthewlawrenceklein.jpg          |  Bin
 .../{PEOPLE => AUTHORS}/AVATARS/meren.jpg     |  Bin
 .../AVATARS/mooreryan.jpeg                    |  Bin
 .../{PEOPLE => AUTHORS}/AVATARS/mschecht.jpg  |  Bin
 .../{PEOPLE => AUTHORS}/AVATARS/no-avatar.png |  Bin
 .../{PEOPLE => AUTHORS}/AVATARS/ozcan.jpg     |  Bin
 .../{PEOPLE => AUTHORS}/AVATARS/qclayssen.jpg |  Bin
 .../AVATARS/semiller10.jpg                    |  Bin
 .../{PEOPLE => AUTHORS}/AVATARS/watsonar.jpg  |  Bin
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 delete mode 100644 anvio/tests/sandbox/workflows/ecophylo/samples/sample_P_marinus_Ribosomal_L16.ini
 create mode 100644 anvio/tests/test-mcg-classifier/config.json
 create mode 100644 anvio/tests/test-mcg-classifier/mcg-classifier.snakefile
 create mode 100644 anvio/tests/unit/test_Read_class.py
 delete mode 100644 anvio/workflows/ecophylo/__init__.py
 delete mode 100644 anvio/workflows/ecophylo/scripts/rename_external_gene_calls_file.py
 delete mode 100644 anvio/workflows/ecophylo/scripts/subset_external_gene_calls_file.py
 rename bin/{anvi-merge-trnaseq => anvi-convert-trnaseq-database} (69%)
 delete mode 100755 bin/anvi-get-tlen-dist-from-bam
 delete mode 100755 bin/anvi-plot-trnaseq
 delete mode 100755 bin/anvi-report-inversions
 delete mode 100755 bin/anvi-search-palindromes
 delete mode 100755 bin/anvi-setup-user-modules
 delete mode 100755 bin/anvi-tabulate-trnaseq
 delete mode 100755 sandbox/anvi-script-as-markdown
 delete mode 100755 sandbox/anvi-script-permute-trnaseq-seeds

diff --git a/.github/ISSUE_TEMPLATE/bug-report---technical-problem.md b/.github/ISSUE_TEMPLATE/bug-report---technical-problem.md
new file mode 100644
index 0000000000..802afdf09f
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/bug-report---technical-problem.md
@@ -0,0 +1,34 @@
+---
+name: Bug Report / Technical Problem
+about: Create a report to help us improve
+title: "[BUG] Replace this text with a short but descriptive title"
+labels: ''
+assignees: ''
+
+---
+
+## Short description of the problem
+
+Replace this text with a single-sentence description of the problem.
+
+## anvi'o version
+
+Replace this text with the output of this command:
+
+```
+anvi-self-test --version
+```
+
+## System info
+
+Please tell us which operating system you are using, and how did you install anvi'o.
+
+## Detailed description of the issue
+
+Replace this text with a clear description of what you expected to happen. Feel free to include screenshots :)
+
+## Files to reproduce
+
+If you have no files you can share with us to reproduce the issue, please remove this text and header completely.
+
+If you have files (i.e., a contigs database, a profile database, a BAM file, etc), please put them in a single directory, compress the directory, upload it to Dropbox and share with us a download link here along with instructions on how to reproduce the error.
diff --git a/.github/ISSUE_TEMPLATE/bug-report.md b/.github/ISSUE_TEMPLATE/bug-report.md
deleted file mode 100644
index 244587f200..0000000000
--- a/.github/ISSUE_TEMPLATE/bug-report.md
+++ /dev/null
@@ -1,34 +0,0 @@
----
-name: Bug Report
-about: Report a bug or technical problem.
-title: "[BUG] Replace this text with a short but descriptive title"
-labels: ''
-assignees: ''
-
----
-
-## Short description of the problem
-
-Replace this text with a single-sentence description of the problem.
-
-## anvi'o version
-
-Replace this text with the output of this command:
-
-```
-anvi-self-test --version
-```
-
-## System info
-
-Please tell us which operating system you are using, and how did you install anvi'o.
-
-## Detailed description of the issue
-
-Replace this text with a clear description of what you expected to happen. Feel free to include screenshots :) If you don't think you need additional description of the problem and your short description is sufficient, please remove this section.
-
-## Files to reproduce
-
-If you have files that you can share with us to reproduce the issue (i.e., a contigs database, a profile database, a BAM file, etc), they may help us dramatically. Please put them in a single directory, compress the directory, upload it to Dropbox (or any other comparable service), and share with us a direct download link along with instructions on how to reproduce the error.
-
-If you don't have files to share, please remove thi section.
diff --git a/.github/ISSUE_TEMPLATE/feature-request---idea.md b/.github/ISSUE_TEMPLATE/feature-request---idea.md
new file mode 100644
index 0000000000..1484f7ed6f
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/feature-request---idea.md
@@ -0,0 +1,20 @@
+---
+name: Feature Request / Idea
+about: Suggest an idea for anvi'o
+title: "[FEATURE] Replace this text with a concise description of the feature"
+labels: ''
+assignees: ''
+
+---
+
+## The need
+
+Describe the need briefly.
+
+## The solution
+
+Describe the best solution to address this need.
+
+## Beneficiaries
+
+Speculate who would most benefit from this solution. Any anvi'o user? Anyone who uses a particular function?
diff --git a/.github/ISSUE_TEMPLATE/feature-request.md b/.github/ISSUE_TEMPLATE/feature-request.md
deleted file mode 100644
index e96b205f9d..0000000000
--- a/.github/ISSUE_TEMPLATE/feature-request.md
+++ /dev/null
@@ -1,20 +0,0 @@
----
-name: Feature Request
-about: Suggest something you wish anvi'o could do.
-title: "[FEATURE REQUEST] Replace this text with a concise description of the feature you propose"
-labels: ''
-assignees: ''
-
----
-
-## The need
-
-Replace this text with the feature you wish to see in anvi'o.
-
-## The solution
-
-Describe the best solution to address this need. If you don't have any solution, please remove this section.
-
-## Beneficiaries
-
-Speculate who would most benefit from this solution. Any anvi'o user? Anyone who uses a particular function?
diff --git a/.github/ISSUE_TEMPLATE/start-a-discussion.md b/.github/ISSUE_TEMPLATE/start-a-discussion.md
index cbae82b099..9eebd68f27 100644
--- a/.github/ISSUE_TEMPLATE/start-a-discussion.md
+++ b/.github/ISSUE_TEMPLATE/start-a-discussion.md
@@ -1,7 +1,7 @@
 ---
 name: Start a Discussion
-about: Start a discussion on anything microbial 'omics or anvi'o.
-title: "[DISCUSSION] Replace this text with a short but descriptive title"
+about: On anything microbial 'omics or anvi'o!
+title: ""
 labels: ''
 assignees: ''
 
diff --git a/.gitignore b/.gitignore
index 42c952cabd..0930a414eb 100755
--- a/.gitignore
+++ b/.gitignore
@@ -25,6 +25,6 @@ anvio/data/misc/SCG
 anvio/data/misc/KEGG
 diamond-log-file.txt
 anvio/data/misc/SCG_TAXONOMY/GTDB/SCG_SEARCH_DATABASES/*.dmnd
-anvio/tests/sandbox/update-contigs-and-bams-for-mini-test/output
+
 anvio/tests/sandbox/test_visualize_split_coverages/TEST_OUTDIR
 anvio/data/misc/KEGG/
diff --git a/AUTHORS.txt b/AUTHORS.txt
index 1fe0f04ae9..b7c85454e9 100644
--- a/AUTHORS.txt
+++ b/AUTHORS.txt
@@ -1,6 +1,6 @@
-=======================================================================================
+===============================================================================
 Developers and contributors at the University of Chicago
-=======================================================================================
+===============================================================================
 A. Murat Eren (a.murat.eren at gmail dot com)
 Evan Kiefl (kiefl.evan at gmail dot com)
 Iva Veseli (iveseli at uchicago.edu)
@@ -8,48 +8,46 @@ Samuel Miller (samuelmiller at uchicago.edu)
 Matthew Schechter (mschechter at uchicago dot edu)
 Matthew Lawrence Klein (mtt.l.kln at gmail dot com)
 Isaac Fink (iafink at uchicago dot edu)
+Andrea Watson (andreawatson at uchicago dot edu)
 Florian Trigodet (trigodet dot florian at gmail dot com)
 Emily Fogarty (efogarty at uchicago dot edu)
 
-=======================================================================================
+===============================================================================
 Developers and contributors at large
-=======================================================================================
-Özcan Esen                                                                Turkey
-Alon Shaiber               Weill Cornell Medicine                         United States
-Jessica Pan                Massachusetts Institute of Technology          United States
-Quentin Clayssen           University of Nantes                           France
-Ryan Moore                 University of Delaware                         United States
-Mahmoud Yousef             University of Chicago                          United States
-Emanuel Burgos             University of Wisconsin-Madison                United States
-Gökmen Göksel              Google, Inc.                                   United States
-Daniel Blankenberg         Genomic Medicine Institute                     United States
-Faruk Uzun                 Monera, Inc.                                   Turkey
-Andrea Watson              Vedanta Biosciences, Inc.                      United States
-Gökmen Görgen              Radity, Inc                                    Switzerland
-Doğan Can Kilment          Makroser, Inc.                                 Turkey
-Amy Willis                 University of Washington                       United States
-Srinidhi Varadharajan      University of Oslo                             Norway
-Mike Lee                   NASA Ames Research Center                      United States
-S. Çağlar Onur             Google, Inc.                                   United States
-Xabier Vázquez-Campos      University of New South Wales                  Australia
-John Eppley                University of Hawaiʻi at Mānoa                 United States
-Jessika Fuessel            University of Chicago                          United States
-Dan Utter                  Harvard University                             United States
-Petra Hribovšek            University of Bergen                           Norway
-Elmar Pruesse              University of Colorado Denver                  United States
-Lucas Paoli                ETH Zurich                                     Switzerland
-Moritz Buck                Uppsala University                             Sweeden
-Tom Delmont                Genoscope                                      France
-Daan Speth                 Max Planck Institute for Marine Microbiology   Germany
-Inés Martinez              University of Alberta                          Canada
-Bryan Merill               Stanford University                            United States
-C. Titus Brown             University of California Davis                 United States
-M. Fauzi Haroon            Harvard University                             United States
-Finlay Maguire             Dalhousie University                           Canada
+===============================================================================
+Özcan Esen                                                        Turkey
+Alon Shaiber               Weill Cornell Medicine                 United States
+Jessica Pan                Massachusetts Institute of Technology  United States
+Quentin Clayssen           University of Nantes                   France
+Ryan Moore                 University of Delaware                 United States
+Mahmoud Yousef             University of Chicago                  United States
+Emanuel Burgos             University of Wisconsin-Madison        United States
+Gökmen Göksel              Google, Inc.                           United States
+Daniel Blankenberg         Genomic Medicine Institute             United States
+Faruk Uzun                 Monera, Inc.                           Turkey
+Gökmen Görgen              Radity, Inc                            Switzerland
+Doğan Can Kilment          Makroser, Inc.                         Turkey
+Amy Willis                 University of Washington               United States
+Srinidhi Varadharajan      University of Oslo                     Norway
+Mike Lee                   NASA Ames Research Center              United States
+S. Çağlar Onur             Google, Inc.                           United States
+Xabier Vázquez-Campos      University of New South Wales          Australia
+John Eppley                University of Hawaiʻi at Mānoa         United States
+Jessika Fuessel            University of Chicago                  United States
+Dan Utter                  Harvard University                     United States
+Elmar Pruesse              University of Colorado Denver          United States
+Lucas Paoli                ETH Zurich                             Switzerland
+Moritz Buck                Uppsala University                     Sweeden
+Tom Delmont                Genoscope                              France
+Inés Martinez              University of Alberta                  Canada
+Bryan Merill               Stanford University                    United States
+C. Titus Brown             University of California Davis         United States
+M. Fauzi Haroon            Harvard University                     United States
+Finlay Maguire             Dalhousie University                   Canada
 
-=======================================================================================
+===============================================================================
 Developers and contributors no longer on GitHub
-=======================================================================================
+===============================================================================
 Tobias Paczian
 
 --
diff --git a/Dockerfile b/Dockerfile
index 13d0fef029..38e9dd110e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -12,7 +12,7 @@
 #
 
 FROM continuumio/miniconda3:4.9.2
-ENV ANVIO_VERSION "7.1_dev"
+ENV ANVIO_VERSION "7"
 
 RUN conda config --env --add channels bioconda
 RUN conda config --env --add channels conda-forge
diff --git a/NEWS.md b/NEWS.md
index 04fd77ce88..b353f3b4bc 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -3,7 +3,7 @@ We are happy to announce anvi'o v7, with the code name 'hope' after 'Hope E. Hop
 
 This release adds more than 35,000 new lines of code and a myriad of new toys into anvi'o.
 
-Please see the release notes [here](https://github.com/merenlab/anvio/releases/tag/v7), and our updated installation instructions [here](http://merenlab.org/install-anvio).
+Please see the release notes [here](https://github.com/merenlab/anvio/releases/tag/v2), and our updated installation instructions [here](http://merenlab.org/install-anvio).
 ***
 
 # v6.2: a critical update for "esther" (06.04.2020) #
diff --git a/anvio/__init__.py b/anvio/__init__.py
index ae852653c1..37799904bb 100644
--- a/anvio/__init__.py
+++ b/anvio/__init__.py
@@ -15,7 +15,7 @@
 # unless you want to explode `bottle`:
 import pkg_resources
 
-anvio_version = '7.1-dev'
+anvio_version = '7-dev'
 anvio_codename = 'hope' # after Hope E. Hopps, https://sivb.org/awards/student-awards/hope-e-hopps-award.html
                         # see the release notes for details: https://github.com/merenlab/anvio/releases/tag/v7
 
@@ -28,9 +28,7 @@
 AS_MARKDOWN = '--as-markdown' in sys.argv
 FIX_SAD_TABLES = '--fix-sad-tables' in sys.argv
 DISPLAY_DB_CALLS = '--display-db-calls' in sys.argv
-FORCE_USE_MY_TREE = '--force-use-my-tree' in sys.argv
 DEBUG_AUTO_FILL_ANVIO_DBS = '--debug-auto-fill-anvio-dbs' in sys.argv
-USER_KNOWS_IT_IS_NOT_A_GOOD_IDEA = '--I-know-this-is-not-a-good-idea' in sys.argv
 DOCS_PATH = os.path.join(os.path.dirname(__file__), 'docs')
 TMP_DIR = None
 
@@ -195,15 +193,15 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "of this file will be called 'user_view', which will be available as a new item "
                      "in the 'views' combo box in the interface"}
                 ),
-    'dna-sequence': (
-            ['--dna-sequence'],
-            {'metavar': 'DNA SEQ',
-             'help': "Literally a DNA sequence. For the very lazy."}
-                ),
     'fasta-file': (
             ['-f', '--fasta-file'],
-            {'metavar': 'FASTA file',
-             'help': "A FASTA-formatted input file."}
+            {'metavar': 'FASTA',
+             'help': "A FASTA-formatted input file"}
+                ),
+    'dna-sequence': (
+            ['--dna-sequence'],
+            {'metavar': 'FASTA',
+             'help': "A FASTA-formatted input file"}
                 ),
     'fasta-text-file': (
             ['-f', '--fasta-text-file'],
@@ -332,14 +330,6 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "for your own case)) can be found at the URL https://bit.ly/2qEEHuQ. If you are providing external gene calls, "
                      "please also see the flag `--skip-predict-frame`."}
                 ),
-    'external-structures': (
-            ['--external-structures'],
-            {'metavar': 'FILE_PATH',
-             'help': "A two-column TAB-delimited flat text file that lists PDB protein structures. The first item "
-                     "in the header line should read 'gene_callers_id', and the second should read 'path'. Each line in the "
-                     "file should describe a single entry, where the first column is the gene_callers_id that the structure corresponds "
-                     "to, and the second column is the path to the structure file."}
-                ),
     'external-genomes': (
             ['-e', '--external-genomes'],
             {'metavar': 'FILE_PATH',
@@ -374,13 +364,6 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "context, the anvi'o profiles associated with contigs database must be SINGLE PROFILES, as in "
                      "generated by the program `anvi-profile` and not `anvi-merge`."}
                 ),
-    'bams-and-profiles': (
-            ['-P', '--bams-and-profiles'],
-            {'metavar': 'FILE_PATH',
-             'help': "A four-column TAB-delimited flat text file. The header line must contain these columns: 'name', "
-                     "'contigs_db_path', 'profile_db_path', and 'bam_file_path'. See the profiles-and-bams.txt artifact "
-                     "for the details of the file."}
-                ),
     'gene-caller': (
             ['--gene-caller'],
             {'metavar': 'GENE-CALLER',
@@ -505,9 +488,9 @@ def TABULATE(table, header, numalign="right", max_width=0):
             {'metavar': 'VARIANT',
              'required': False,
              'default': 'unknown',
-             'help': "A free-form text variable to associate a database with a variant for power users and/or programmers. "
+             'help': "A free-form text variable to associate a database with a variant for power users and/or programmers "
                      "Please leave this blank unless you are certain that you need to set a db variant since it may influence "
-                     "downstream processes. In an ideal world a variant would be a single-word, without any capitalized letters "
+                     "downstream processes. In an ideal world a varainat would be a single-word, without any capitalized letters "
                      "or special characters."}
                 ),
     'contigs-fasta': (
@@ -686,17 +669,6 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "core gene to estimate the taxonomic composition within a contigs database. If you have a "
                      "different preference you can use this parameter to communicate that."}
                 ),
-    'report-scg-sequences-file-prefix': (
-            ['--report-scg-sequences-file-prefix'],
-            {'default': None,
-             'type': str,
-             'metavar': 'FILE NAME PREFIX',
-             'help': "When running in metagenome mode, anvi'o has access to each SCG sequence. By providing a "
-                     "file prefix, you can instruct anvi'o to report amino acid and DNA sequences for each SCG "
-                     "it uses to estimate taxonomy. The deflines of the resulting FASTA files will match tot he "
-                     "unique entry IDs used to populate the output file that reports taxonomy. Please note that "
-                     "this parameter will only run if you set the parameter `--scg-name-for-metagenome-mode`."}
-                ),
     'anticodon-for-metagenome-mode': (
             ['-S','--anticodon-for-metagenome-mode'],
             {'default': None,
@@ -914,28 +886,11 @@ def TABULATE(table, header, numalign="right", max_width=0):
     'kegg-data-dir': (
             ['--kegg-data-dir'],
             {'default': None,
-             'metavar': 'DIR_PATH',
              'type': str,
              'help': "The directory path for your KEGG setup, which will include things like "
                      "KOfam profiles and KEGG MODULE data. Anvi'o will try to use the default path "
                      "if you do not specify anything."}
                 ),
-    'user-modules': (
-            ['-u', '--user-modules'],
-            {'default': None,
-             'metavar': 'DIR_PATH',
-             'type': str,
-             'help': "Directory location where your metabolic module files are kept. It is also "
-                     "the output directory, since the modules database will be set up in this folder."}
-                ),
-    'only-user-modules': (
-            ['--only-user-modules'],
-            {'default': False,
-             'action': 'store_true',
-             'help': "If you use this flag in conjunction with --user-modules, anvi'o will ONLY "
-                     "run estimation on your user-defined metabolism data (ie, it will NOT use KEGG at all). "
-                     "The default is to run on both KEGG and user data when --user-modules is provided."}
-                ),
     'kegg-archive': (
             ['--kegg-archive'],
             {'default': None,
@@ -2004,7 +1959,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
             ['--verbose'],
             {'default': False,
              'action': 'store_true',
-             'help': "Be verbose, print more messages whenever possible. You may regret this."}
+             'help': "Be verbose, print more messages whenever possible."}
                 ),
     'concise': (
             ['--concise'],
@@ -2033,7 +1988,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
              'help': "IP address for the HTTP server. The default ip address (%(default)s) should "
                      "work just fine for most."}
                 ),
-    'browser-path': (
+   'browser-path': (
             ['--browser-path'],
             {'metavar': 'PATH',
              'type': str,
@@ -2044,7 +1999,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "this parameter to call Google's experimental browser, Canary, which performs better with "
                      "demanding visualizations."}
                 ),
-    'api-url': (
+   'api-url': (
             ['--api-url'],
             {'metavar': 'API_URL',
              'type': str,
@@ -2123,19 +2078,6 @@ def TABULATE(table, header, numalign="right", max_width=0):
              'type': float,
              'help': "Maximum number of target sequences to request from BLAST or DIAMOND searches. The default is %(default)g%%."}
                 ),
-    'fetch-filter': (
-            ['--fetch-filter'],
-            {'metavar': 'FILTER',
-             'default': None,
-             'type': str,
-             'help': f"By default, anvi'o fetches all reads from a BAM file. Once a read is 'fetched', some "
-                     f"reads may be excluded if you have used parameters such as `--min-percent-identity`. "
-                     f"But the `--fetch-filter` is different as it determines WHICH reads from a BAM file "
-                     f"will be used for profiling at all. You can do a lot of fun things with this parameter. "
-                     f"For details, please read the online documentation for `anvi-profile` using the URL "
-                     f"you should see at the end of the `--help` output on your terminal. The known filters are "
-                     f"the following: {', '.join([k for k in constants.fetch_filters.keys() if k])}."}
-                ),
     'min-percent-identity': (
             ['--min-percent-identity'],
             {'metavar': 'PERCENT_IDENTITY',
@@ -2377,13 +2319,6 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "this flag, the HMM hits stored in the database will be taken from the --tblout file only. "
                      "Also, this option only works with HMM profiles for amino acid sequences (not nucleotides)."}
                 ),
-    'add-to-functions-table': (
-            ['--add-to-functions-table'],
-            {'default': False,
-             'action': 'store_true',
-             'help': "Use this flag if you want anvi'o to store your HMM hits as gene annotations in the 'gene_functions'"
-                     "table of the database, rather than in the 'hmm_hits' table."}
-                ),
     'min-contig-length': (
             ['-M', '--min-contig-length'],
             {'metavar': 'INT',
@@ -2618,31 +2553,6 @@ def TABULATE(table, header, numalign="right", max_width=0):
             'help': "If this is true, the output file will be in GFF3 format."
         }
     ),
-    'min-palindrome-length': (
-            ['-l', '--min-palindrome-length'],
-            {'default': 10,
-             'metavar': 'INT',
-             'type': int,
-             'help': "The minimum palindrome length."}
-        ),
-    'min-distance': (
-            ['-d', '--min-distance'],
-            {'default': 50,
-             'metavar': 'INT',
-             'type': int,
-             'help': "The minimum distance between the palindromic sequences (this parameter is essentially "
-                     "asking for the number of `x` in the sequence `ATCGxxxCGAT`). The default is 50, "
-                     "which means the algorithm will never report by default sequences that are like "
-                     "`ATCGCGAT` with no gaps between the palindrome where the palindromic sequence matches "
-                     "itself (but you can get such palindromes by setting this parameter to 0)."}
-        ),
-    'max-num-mismatches': (
-            ['-m', '--max-num-mismatches'],
-            {'default': 0,
-             'metavar': 'INT',
-             'type': int,
-             'help': "The maximum number of mismatches allowed."}
-        ),
     'export-svg': (
             ['--export-svg'],
             {'type': str,
@@ -2840,23 +2750,16 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "(such as a file produced using the --get-raw-data-as-json flag), you can provide that file to this flag "
                      "and KEGG metabolism estimates will be computed from the information within instead of from a contigs database."}
                 ),
-    'enzymes-txt': (
-            ['--enzymes-txt'],
-            {'default': None,
-             'metavar': 'FILE_PATH',
-             'type': str,
-             'help': "A tab-delimited file describing gene id, enzyme accession, functional annotation source for the enzyme, "
-                     "and (optionally) coverage and detection values for the gene."}
-                ),
-    'output-modes': (
-            ['--output-modes'],
+    'kegg-output-modes': (
+            ['--kegg-output-modes'],
             {'default': None,
              'metavar': 'MODES',
              'type': str,
-             'help': "Use this flag to indicate what information you want in the metabolism output files, by "
+             'help': "Use this flag to indicate what information you want in the kegg metabolism output files, by "
                      "providing a comma-separated list of output modes (each 'mode' you provide will result in a "
-                     "different output file, all with the same prefix). To see a list of available output modes, "
-                     "run this script with the flag --list-available-modes."}
+                     "different output file, all with the same prefix). The default output modes are 'kofam_hits' and "
+                     "'complete_modules'. To see a list of available output modes, run this script with the flag "
+                     "--list-available-modes."}
                 ),
     'list-available-modes': (
             ['--list-available-modes'],
@@ -2962,7 +2865,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
             'metavar': 'TEXT_FILE',
             'help': "A tab-delimited text file specifying module completeness in every genome/MAG/sample "
                     "that you are interested in. The best way to get this file is to run `anvi-estimate-metabolism "
-                    "--output-modes modules` on your samples of interest. Trust us."}
+                    "--kegg-output-modes modules` on your samples of interest. Trust us."}
                 ),
     'groups-txt': (
             ['-G', '--groups-txt'],
@@ -3005,7 +2908,8 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "as tRNA-seq samples are commonly split for these treatments. "
                      "Anvi'o will warn you if you do not choose one of these known options, but it will not affect data processing. "
                      "Treatment type is stored for further reference in the output tRNA-seq database, "
-                     "and can be used in anvi-merge-trnaseq to affect which nucleotides are called at predicted modification sites in tRNA seed sequences."}
+                     "and can be used in anvi-convert-trnaseq-database "
+                     "to affect which nucleotides are called at predicted modification sites in tRNA seed sequences."}
                 ),
     'write-checkpoints': (
             ['--write-checkpoints'],
@@ -3180,7 +3084,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
                 ),
     'profiling-chunk-size': (
             ['--profiling-chunk-size'],
-            {'default': 100000,
+            {'default': 500000,
              'metavar': 'INT',
              'type': int,
              'help': "Anvi'o manages memory consumption during tRNA feature profiling by chunking the unique input sequences. "
@@ -3324,41 +3228,6 @@ def TABULATE(table, header, numalign="right", max_width=0):
              'help': "This parameter controls which indels are reported in the tRNA-seq profile database. "
                      "Coverage of an indel in a sample must meet the minimum fraction of specific coverage. "
                      "Indel coverages are calculated separately for specific, nonspecific, and summed coverages."}
-                ),
-    'specific-profile-db': (
-            ['--specific-profile-db', '-s'],
-            {'metavar': 'PROFILE_DB',
-             'required': True,
-             'help': "The path to an anvi'o profile database containing specific coverage information on tRNA seeds. "
-                     "`anvi-merge-trnaseq` generates a specific profile database from a tRNA-seq experiment."}
-                ),
-    'nonspecific-profile-db': (
-            ['--nonspecific-profile-db', '-n'],
-            {'metavar': 'PROFILE_DB',
-             'required': False,
-             'help': "The path to an anvi'o profile database containing nonspecific coverage information on tRNA seeds. "
-                     "`anvi-merge-trnaseq` optionally generates a nonspecific profile database from a tRNA-seq experiment."}
-                ),
-    'seeds-specific-txt': (
-            ['--seeds-specific-txt', '-s'],
-            {'metavar': 'TEXT_FILE',
-             'required': True,
-             'help': "A tab-delimited text file containing data on tRNA seeds including specific coverages. "
-                     "`anvi-tabulate-trnaseq` generates this file from anvi'o tRNA-seq databases."}
-                ),
-    'seeds-nonspecific-txt': (
-            ['--seeds-nonspecific-txt', '-n'],
-            {'metavar': 'TEXT_FILE',
-             'required': False,
-             'help': "A tab-delimited text file containing data on tRNA seeds including nonspecific coverages. "
-                     "`anvi-tabulate-trnaseq` generates this file from anvi'o tRNA-seq databases."}
-                ),
-    'modifications-txt': (
-            ['--modifications-txt', '-m'],
-            {'metavar': 'TEXT_FILE',
-             'required': True,
-             'help': "A tab-delimited text file containing modification data on tRNA seeds. "
-                     "`anvi-tabulate-trnaseq` generates this file from anvi'o tRNA-seq databases."}
     ),
     'stats-to-summarize': (
             ['--stats-to-summarize', '-S'],
diff --git a/anvio/argparse.py b/anvio/argparse.py
index a91512a306..569373a0d2 100755
--- a/anvio/argparse.py
+++ b/anvio/argparse.py
@@ -37,11 +37,6 @@ def __init__(self, description="No description :/", epilog=None):
         self.description = description
         self.epilog = epilog or self.get_anvio_epilogue()
 
-        self.anvio_allowed_ad_hoc_flags = ['--version', '--debug', '--force', '--fix-sad-tables',
-                                           '--quiet', '--no-progress', '--as-markdown',
-                                           '--display-db-calls', '--force-use-my-tree',
-                                           '--I-know-this-is-not-a-good-idea', '--tmp-dir']
-
 
     def get_anvio_epilogue(self):
         """Function that formats the additional message that appears at the end of help."""
@@ -192,6 +187,8 @@ def get_args(self, parser, auto_fill_anvio_dbs=False):
         to see can still be sorted out.
         """
 
+        allowed_ad_hoc_flags = ['--version', '--debug', '--force', '--fix-sad-tables', '--quiet', '--no-progress', '--as-markdown', '--tmp-dir', '--display-db-calls']
+
         args, unknown = parser.parse_known_args()
 
         if auto_fill_anvio_dbs:
@@ -202,8 +199,8 @@ def get_args(self, parser, auto_fill_anvio_dbs=False):
 
         # if there are any args in the unknown that we do not expect to find
         # we we will make argparse complain about those.
-        if len([f for f in unknown if f not in self.anvio_allowed_ad_hoc_flags]):
-            for f in self.anvio_allowed_ad_hoc_flags:
+        if len([f for f in unknown if f not in allowed_ad_hoc_flags]):
+            for f in allowed_ad_hoc_flags:
                 # handle non-boolean flags
                 if f in ['--tmp-dir']:
                     parser.add_argument(f)
diff --git a/anvio/authors.py b/anvio/authors.py
index e62e71edac..056ad8c849 100644
--- a/anvio/authors.py
+++ b/anvio/authors.py
@@ -3,6 +3,7 @@
 """A library to process anvi'o authors file"""
 
 import os
+import sys
 
 import anvio
 import anvio.utils as utils
@@ -22,7 +23,7 @@
 
 
 class AnvioAuthors:
-    def __init__(self, authors_yaml_file_path=os.path.join(os.path.dirname(anvio.__file__), 'data/misc/PEOPLE/DEVELOPERS.yaml'), skip_init=False, r=terminal.Run(), p=terminal.Progress()):
+    def __init__(self, authors_yaml_file_path=os.path.join(os.path.dirname(anvio.__file__), 'data/misc/AUTHORS/AUTHORS.yaml'), skip_init=False, r=terminal.Run(), p=terminal.Progress()):
         self.run = r
         self.progress = p
 
diff --git a/anvio/auxiliarydataops.py b/anvio/auxiliarydataops.py
index 1bb74747ab..d7eb5dd2a2 100644
--- a/anvio/auxiliarydataops.py
+++ b/anvio/auxiliarydataops.py
@@ -25,16 +25,13 @@
 progress = terminal.Progress()
 pp = terminal.pretty_print
 
-DEFAULT_COVERAGE_DTYPE = 'uint16'
-DEFAULT_COVERAGE_MAX_VALUE = np.iinfo(DEFAULT_COVERAGE_DTYPE).max
-TRNASEQ_COVERAGE_DTYPE = 'uint32'
-TRNASEQ_COVERAGE_MAX_VALUE = np.iinfo(TRNASEQ_COVERAGE_DTYPE).max
+COVERAGE_DTYPE = 'uint16'
+COVERAGE_MAX_VALUE = np.iinfo(COVERAGE_DTYPE).max
 
 class AuxiliaryDataForSplitCoverages(object):
-    def __init__(self, db_path, db_hash, db_variant='unknown', create_new=False, ignore_hash=False, run=run, progress=progress, quiet=False):
+    def __init__(self, db_path, db_hash, create_new=False, ignore_hash=False, run=run, progress=progress, quiet=False):
         self.db_type = 'auxiliary data for coverages'
         self.db_hash = str(db_hash)
-        self.db_variant = str(db_variant)
         self.version = anvio.__auxiliary_data_version__
         self.db_path = db_path
         self.quiet = quiet
@@ -43,8 +40,6 @@ def __init__(self, db_path, db_hash, db_variant='unknown', create_new=False, ign
         self.coverage_entries = []
         self.create_new = create_new
 
-        self.coverage_dtype = TRNASEQ_COVERAGE_DTYPE if db_variant == 'trnaseq' else DEFAULT_COVERAGE_DTYPE
-        self.coverage_max_value = TRNASEQ_COVERAGE_MAX_VALUE if db_variant == 'trnaseq' else DEFAULT_COVERAGE_MAX_VALUE
         self.db = db.DB(self.db_path, self.version, new_database=self.create_new)
 
         if self.create_new:
@@ -70,7 +65,7 @@ def check_hash(self):
 
 
     def append(self, split_name, sample_name, coverage_list):
-        coverage_list_blob = utils.convert_numpy_array_to_binary_blob(np.array(coverage_list, dtype=self.coverage_dtype))
+        coverage_list_blob = utils.convert_numpy_array_to_binary_blob(np.array(coverage_list, dtype=COVERAGE_DTYPE))
         self.coverage_entries.append((split_name, sample_name, coverage_list_blob, ))
 
 
@@ -124,7 +119,7 @@ def get(self, split_name):
         for row in rows:
             sample_name, coverage_blob = row # unpack sqlite row tuple
 
-            split_coverage[sample_name] = utils.convert_binary_blob_to_numpy_array(coverage_blob, dtype=self.coverage_dtype)
+            split_coverage[sample_name] = utils.convert_binary_blob_to_numpy_array(coverage_blob, dtype=COVERAGE_DTYPE)
 
         return split_coverage
 
diff --git a/anvio/bamops.py b/anvio/bamops.py
index 5bfe84240c..1c581821b3 100644
--- a/anvio/bamops.py
+++ b/anvio/bamops.py
@@ -39,176 +39,6 @@
 __status__ = "Development"
 
 
-class PairedEndTemplateDist:
-    def __init__(self, args, run=terminal.Run(), progress=terminal.Progress()):
-        self.args = args
-        self.run = run
-        self.progress = progress
-
-        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
-        self.bam_file_path = A('bam_file')
-        self.min_frequency_of_tlen = A('min_template_length_frequency') or 10
-        self.max_tlen_to_consider = A('max_template_length_to_consider') or 500000
-        self.output_file_path = A('output_file') or 'TEMPLATE-LENGTH-STATS.txt'
-        self.plot_data = A('plot_data')
-
-        self.run.info('BAM file', self.bam_file_path)
-
-        self.template_lengths = {}
-
-
-    def process(self):
-        filesnpaths.is_file_bam_file(self.bam_file_path)
-        filesnpaths.is_output_file_writable(self.output_file_path, ok_if_exists=False)
-
-        bam = BAMFileObject(self.bam_file_path, 'rb')
-        self.contig_names = bam.references
-        self.contig_lengths = bam.lengths
-
-        self.progress.new('Initializing')
-        self.progress.update('Counting num contigs ...')
-        num_contigs = len(self.contig_names)
-        self.progress.update('Counting num reads ...')
-        num_reads = bam.count()
-        self.progress.end()
-
-        self.run.info('Number of contigs', pp(num_contigs))
-        self.run.info('Number of reads', pp(num_reads))
-        self.run.info('Minimum template length frequency', pp(self.min_frequency_of_tlen))
-        self.run.info('Maximum template length to consider', pp(self.max_tlen_to_consider), nl_after=1)
-
-        self.progress.new("Bleep bloop", progress_total_items=num_reads)
-        self.progress.update('...')
-
-        mem_tracker = terminal.TrackMemory(at_most_every=5)
-        mem_usage, mem_diff = mem_tracker.start()
-
-        for j in range(0, num_contigs):
-            contig_name = self.contig_names[j]
-
-            template_lengths_counter = Counter()
-
-            num_reads_processed = 0
-            for read in bam.fetch_only(contig_name):
-                num_reads_processed += 1
-
-                if read.is_paired and not read.mate_is_unmapped and read.tlen != 0:
-                    template_lengths_counter[abs(read.tlen)] += 1
-
-                if num_reads_processed % 100000 == 0:
-                    if mem_tracker.measure():
-                        mem_usage = mem_tracker.get_last()
-                        mem_diff = mem_tracker.get_last_diff()
-
-                    self.progress.increment(increment_to=num_reads_processed)
-                    self.progress.update(f"READ {pp(num_reads_processed)}/{pp(num_reads)} :: CONTIG {pp(j+1)}/{pp(num_contigs)} :: MEMORY 🧠 {mem_usage} ({mem_diff})")
-
-            # remove rarely occuring template lengths
-            tlens_to_discard = [tlen for tlen in template_lengths_counter if template_lengths_counter[tlen] < self.min_frequency_of_tlen or tlen > self.max_tlen_to_consider]
-            [template_lengths_counter.pop(tlen) for tlen in tlens_to_discard]
-
-            # code below looks dumb, b/c we first count frequencies using a Counter,
-            # and then turn it into a huge Python array by adding each tlen as many
-            # times as it was observed. but in fact this is faster than `.append()`
-            # for an array, or adding numbers to a numpy array. LOOK I HAM AS CONFUSE
-            # AS U R, BUT I HAS TESTED IT.
-            self.template_lengths[contig_name] = []
-            for tlen in template_lengths_counter:
-                self.template_lengths[contig_name].extend([tlen] * template_lengths_counter[tlen])
-
-        self.progress.end()
-
-        contigs_without_tlen_data = [c for c in self.template_lengths if not len(self.template_lengths[c])]
-        if len(contigs_without_tlen_data) == num_contigs:
-            raise ConfigError("So. None of your contigs seem to have any template length data, which suggests that "
-                              "either the reads that were mapped to your sequences to generate this BAM file were "
-                              "single reads rather than paired-end reads, or you set a crazy high `--min-tlen-frequency` "
-                              "value even though you didn't have a large number of reads in your BAM file. WHICH ONE "
-                              "IS IT, FLORIAN, WHICH ONE?")
-        elif len(contigs_without_tlen_data) < num_contigs:
-            self.run.warning(f"Some of your contigs, {pp(len(contigs_without_tlen_data))} of {pp(num_contigs)} to "
-                             f"be precise, did not seem to have any template lenght data. There are many reasons "
-                             f"this could happen, including a very high `--min-tlen-frequency` parameter for BAM files "
-                             f"with small number of reads. But since there are some contigs that seem to have proper paired-"
-                             f"end reads with template lengths, anvi'o will continue reporting and put zeros for "
-                             f"contigs that have no data in output files.")
-        else:
-            # we're golden
-            pass
-
-        if self.output_file_path:
-            self.report()
-
-        if self.plot_data:
-            self.plot_histogram()
-
-
-    def report(self):
-        stats = {}
-
-        self.progress.new("Summarizing data for reporting", progress_total_items=len(self.contig_names))
-        for contig_name in self.template_lengths:
-            self.progress.update(f"{contig_name}", increment=True)
-
-            if len(self.template_lengths[contig_name]):
-                # the following class was designed for coverage stats, but it does a large part
-                # of what we need to learn for these np arrays, so why not:
-                arr = np.array(self.template_lengths[contig_name])
-                C = utils.CoverageStats(arr, skip_outliers=True)
-
-                stats[contig_name] = {'length': self.contig_lengths[self.contig_names.index(contig_name)],
-                                      'num_reads_considered': len(arr),
-                                      'mean'     : f"{C.mean:.4}",
-                                      'mean_Q2Q3': f"{C.mean_Q2Q3:.4}",
-                                      'median'   : f"{C.median}",
-                                      'min'      : f"{C.min}",
-                                      'max'      : f"{C.max}",
-                                      'std'      : f"{C.std:.4}"}
-            else:
-                stats[contig_name] = {'length': self.contig_lengths[self.contig_names.index(contig_name)],
-                                      'num_reads_considered': 0,
-                                      'mean'     : f"",
-                                      'mean_Q2Q3': f"",
-                                      'median'   : f"",
-                                      'min'      : f"",
-                                      'max'      : f"",
-                                      'std'      : f""}
-
-        self.progress.end()
-
-        headers = ['contig', 'length', 'num_reads_considered', 'mean', 'mean_Q2Q3', 'median', 'min', 'max', 'std']
-        utils.store_dict_as_TAB_delimited_file(stats, self.output_file_path, headers=headers)
-
-        self.run.info('Output file', self.output_file_path, nl_after=1)
-
-
-    def plot_histogram(self, num_bins=50):
-        try:
-            import plotext as plt
-        except:
-            self.run.warning("You don't have the `plotext` library to plot data :/ You can "
-                             "install it by running `pip install plotext` in your anvi'o "
-                             "environment.", header="NO PLOT FOR YOU :(")
-            return
-
-        self.progress.new("Bleep bloop")
-        self.progress.update('Merging all tlens from all contigs ...')
-        tlens_across_all_contigs = []
-        for contig_name in self.template_lengths:
-            tlens_across_all_contigs.extend(self.template_lengths[contig_name])
-        self.progress.end()
-
-        self.run.info_single("All the data are ready for plotting, if you are lucky, you "
-                             "should see a histogram of tlen distributions below.", nl_after=1)
-
-        plt.clp()
-        plt.title(f"The overall distribution of pair1 and pair2 distances in {os.path.basename(self.bam_file_path)}")
-        plt.xlabel("Template length")
-        plt.ylabel("Frequency")
-        plt.hist(tlens_across_all_contigs, num_bins)
-        plt.plotsize(progress.terminal_width, 40)
-        plt.show()
-
 
 class BAMFileObject(pysam.AlignmentFile):
     def __init__(self, *args):
@@ -222,26 +52,9 @@ def __init__(self, *args):
 
         filesnpaths.is_file_bam_file(self.input_bam_path)
 
-        self.fetch_filter = None
-
         pysam.AlignmentFile.__init__(self)
 
 
-    def fetch_only(self, contig_name, start=None, end=None, *args, **kwargs):
-        """A wrapper function for `bam.fetch()`.
-
-        Having a single function enables global application of `fetch_filters` to reads
-        reported from a BAM file.
-        """
-
-        for read in self.fetch(contig_name, start, end):
-            if self.fetch_filter:
-                if constants.fetch_filters[self.fetch_filter](read):
-                    yield read
-            else:
-                yield read
-
-
     def fetch_and_trim(self, contig_name, start, end, *args, **kwargs):
         """Returns an read iterator that trims overhanging reads
 
@@ -249,15 +62,12 @@ def fetch_and_trim(self, contig_name, start, end, *args, **kwargs):
         defined region so that they fit inside the start and stop.
         """
 
-        for read in self.fetch_only(contig_name, start, end, *args, **kwargs):
-            if read.is_unmapped or read.cigartuples is None or read.query_sequence is None:
+        for read in self.fetch(contig_name, start, end, *args, **kwargs):
+            if read.cigartuples is None or read.query_sequence is None:
                 # This read either has no associated cigar string or no query sequence. If cigar
                 # string is None, this means it did not align but is in the BAM file anyways, or the
                 # mapping software decided it did not want to include a cigar string for this read.
-                # The origin of why query sequence would be None is unkown. Alternatively, this read
-                # has a query sequence, has a cigar string (and therefore mapped), but for some
-                # reason pysam has given the read the attribute read.is_unmapped == True. We choose
-                # not to work with such a read (see https://github.com/merenlab/anvio/issues/1821)
+                # The origin of why query sequence would be None is unkown.
                 continue
 
             read = Read(read)
@@ -300,15 +110,12 @@ def fetch_filter_and_trim(self, contig_name, start, end, percent_id_cutoff=0, *a
             percent_id_cutoff=95.0
         """
 
-        for read in self.fetch_only(contig_name, start, end, *args, **kwargs):
-            if read.is_unmapped or read.cigartuples is None or read.query_sequence is None:
+        for read in self.fetch(contig_name, start, end, *args, **kwargs):
+            if read.cigartuples is None or read.query_sequence is None:
                 # This read either has no associated cigar string or no query sequence. If cigar
                 # string is None, this means it did not align but is in the BAM file anyways, or the
                 # mapping software decided it did not want to include a cigar string for this read.
-                # The origin of why query sequence would be None is unkown. Alternatively, this read
-                # has a query sequence, has a cigar string (and therefore mapped), but for some
-                # reason pysam has given the read the attribute read.is_unmapped == True. We choose
-                # not to work with such a read (see https://github.com/merenlab/anvio/issues/1821)
+                # The origin of why query sequence would be None is unkown.
                 continue
 
             read = Read(read)
@@ -368,7 +175,7 @@ def reads_have_MD_tags(self, num_reads=10000, require=all):
         reads_checked = 0
 
         for contig_name in self.references:
-            for read in self.fetch_only(contig_name):
+            for read in self.fetch(contig_name):
                 if read.cigartuples is None:
                     # if it didn't map we forgive it for not having an MD tag
                     continue
@@ -749,7 +556,7 @@ def run(self, bam, contig_or_split, start=None, end=None, read_iterator='fetch',
     def _fetch_iterator(self, bam, contig_name, start, end):
         """Uses standard pysam fetch iterator from AlignmentFile objects, ignores unmapped reads"""
 
-        for read in bam.fetch_only(contig_name, start, end):
+        for read in bam.fetch(contig_name, start, end):
             if read.cigartuples is None or read.query_sequence is None:
                 # This read either has no associated cigar string or no query sequence. If cigar
                 # string is None, this means it did not align but is in the BAM file anyways, or the
@@ -1115,7 +922,7 @@ def get_short_reads_for_splits_dict(self):
             has_unknown_mate = {}
             if self.split_R1_and_R2:
                 for contig_id, start, stop in contig_start_stops:
-                    for read in bam_file_object.fetch_only(contig_id, start, stop):
+                    for read in bam_file_object.fetch(contig_id, start, stop):
 
                         defline = '_'.join([contig_id, str(start), str(stop), read.query_name, bam_file_name])
 
@@ -1129,7 +936,7 @@ def get_short_reads_for_splits_dict(self):
                             read_DIRECTION = 'R1' if read.is_read1 else 'R2'
                             mate_DIRECTION = 'R2' if read_DIRECTION == 'R1' else 'R1'
 
-                            # rev_comp either R1 or R2 to match the original short reads orientation
+                            # rev_comp either R1 or R2 to match the original short reads orientation 
                             if read.is_reverse:
                                 short_reads_for_splits_dict[mate_DIRECTION][defline] = has_unknown_mate[defline]
                                 short_reads_for_splits_dict[read_DIRECTION][defline] = utils.rev_comp(read.query_sequence)
@@ -1144,7 +951,7 @@ def get_short_reads_for_splits_dict(self):
                 short_reads_for_splits_dict['UNPAIRED'].update(has_unknown_mate)
             else:
                 for contig_id, start, stop in contig_start_stops:
-                    for read in bam_file_object.fetch_only(contig_id, start, stop):
+                    for read in bam_file_object.fetch(contig_id, start, stop):
                         short_reads_for_splits_dict['all']['_'.join([contig_id, str(start), str(stop), read.query_name, bam_file_name])] = read.query_sequence
             bam_file_object.close()
 
diff --git a/anvio/bottleroutes.py b/anvio/bottleroutes.py
index c61cd1cd6c..fcd4c7bf47 100644
--- a/anvio/bottleroutes.py
+++ b/anvio/bottleroutes.py
@@ -548,11 +548,9 @@ def charts(self, order_name, item_name):
 
         data['state'] = state
 
-        db_variant = str(self.interactive.contigs_db_variant)
         try:
             auxiliary_coverages_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.interactive.auxiliary_data_path,
-                                                                                     self.interactive.p_meta['contigs_db_hash'],
-                                                                                     db_variant=db_variant)
+                                                                                     self.interactive.p_meta['contigs_db_hash'])
             coverages = auxiliary_coverages_db.get(split_name)
             auxiliary_coverages_db.close()
 
@@ -736,10 +734,8 @@ def charts_for_single_gene(self, order_name, item_name):
 
         layers = [layer for layer in sorted(self.interactive.p_meta['samples']) if (layer not in state['layers'] or float(state['layers'][layer]['height']) > 0)]
 
-        db_variant = str(self.interactive.contigs_db_variant)
         auxiliary_coverages_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.interactive.auxiliary_data_path,
-                                                                                 self.interactive.p_meta['contigs_db_hash'],
-                                                                                 db_variant=db_variant)
+                                                                                 self.interactive.p_meta['contigs_db_hash'])
         coverages = auxiliary_coverages_db.get(split_name)
         auxiliary_coverages_db.close()
 
diff --git a/anvio/clustering.py b/anvio/clustering.py
index 8067a65f93..96da1d9366 100644
--- a/anvio/clustering.py
+++ b/anvio/clustering.py
@@ -8,7 +8,6 @@
 from sklearn import manifold
 from sklearn import preprocessing
 from scipy.cluster import hierarchy
-from scipy.spatial import distance as scipy_distance
 
 import anvio
 import anvio.utils as utils
@@ -103,41 +102,14 @@ def get_newick_tree_data_for_dict(d, transpose=False, linkage=constants.linkage_
     return newick
 
 
-def get_vectors_for_vectors_with_missing_data(vectors):
-    """Get a distance matrix for vectors with missing data.
-
-    Modified from the solution at https://stackoverflow.com/questions/31420912/python-hierarchical-clustering-with-missing-values
-    """
-
-    vectors[vectors == None] = np.nan
-
-    Npat = vectors.shape[0]
-    dist = np.ndarray(shape=(Npat,Npat))
-    dist.fill(0)
-    for ix in range(0,Npat):
-        x = vectors[ix,]
-        if ix >0:
-            for iy in range(0,ix):
-                y = vectors[iy,]
-                dist[ix,iy] = np.nanmean((x - y) ** 2, dtype='float32')
-                dist[iy,ix] = dist[ix,iy]
-
-    return scipy_distance.squareform(dist)
-
-
 def get_newick_from_matrix(vectors, distance, linkage, norm, id_to_sample_dict, transpose=False):
     is_distance_and_linkage_compatible(distance, linkage)
 
     if transpose:
         vectors = vectors.transpose()
 
-    # if there are missing values in data, we will assume that
-    # it was normalized by the user.
-    if None in vectors:
-        vectors = get_vectors_for_vectors_with_missing_data(vectors)
-    else:
-        # normalize vectors:
-        vectors = get_normalized_vectors(vectors, norm=norm, progress=progress)
+    # normalize vectors:
+    vectors = get_normalized_vectors(vectors, norm=norm, progress=progress)
 
     tree = get_clustering_as_tree(vectors, linkage, distance, progress)
     newick = get_tree_object_in_newick(tree, id_to_sample_dict)
@@ -167,7 +139,7 @@ def create_newick_file_from_matrix_file(observation_matrix_path, output_file_pat
 
     if items_order_file_path:
         open(items_order_file_path, 'w').write('\n'.join(utils.get_names_order_from_newick_tree(newick)) + '\n')
-
+        
 
 def get_scaled_vectors(vectors, user_seed=None, n_components=12, normalize=True, progress=progress):
     if user_seed:
diff --git a/anvio/cogs.py b/anvio/cogs.py
index 7e854d8e0a..3f98932c36 100644
--- a/anvio/cogs.py
+++ b/anvio/cogs.py
@@ -638,10 +638,9 @@ def raise_error(line_num, line_content, fields, e):
             raise ConfigError(f"Bad news :( While parsing a COG input file, anvi'o encountered an error (which said: [{e}]) "
                               f"while processing the line {line_counter} in your file. Where the fields in that file looked "
                               f"looked like this: {fields}. Sadly, this has been a long-standing and very annoying issue that "
-                              f"anvi'o developers were unable to reproduce. But we recently learned that the issue is likely due "
-                              f"to your internet speed (https://github.com/merenlab/anvio/issues/1738). Slower connections lead "
-                              f"to broken connections with the NCBI servers, and leave you with an unfinished file :/ The only "
-                              f"working solution so far is to try again with a faster internet connection.")
+                              f"anvi'o developers were unable to reproduce. If you would like to help us find a solution, please "
+                              f"visit the issue located at https://github.com/merenlab/anvio/issues/1738. There you can copy-paste "
+                              f"this error message and attach the file in question that is located on your disk at '{input_file_path}'.")
 
         progress.new('Formatting protein ids to COG ids file', progress_total_items=num_lines_in_file)
 
diff --git a/anvio/completeness.py b/anvio/completeness.py
index 3ce29b8e79..a6c703e27d 100644
--- a/anvio/completeness.py
+++ b/anvio/completeness.py
@@ -105,14 +105,14 @@ def __init__(self, contigs_db_path, scg_domain_classifier_path=None, source_requ
 
         if len(self.domains_missing_in_SCGs_run_for_contigs):
             num_domains_missing = len(self.domains_missing_in_SCGs_run_for_contigs)
-
-            if anvio.DEBUG:
-                self.progress.reset()
-                self.run.warning("It seems %d of the domains that are known to the classifier anvi'o uses to predict "
-                                 "domains for completion estimation are missing from this contigs database. This means, the user didn't run the "
-                                 "program `anvi-run-hmms` with default parameters, or removed some essential SCG domains from it later. Here is "
-                                 "the list of domains that are making us upset here: \"%s\". Running `anvi-run-hmms` on this your contigs database "
-                                 "will likely address this warning." % (num_domains_missing, ', '.join(self.domains_missing_in_SCG_domain_predictor)))
+            self.progress.reset()
+            self.run.warning("Things are not quite OK. It seems %d of the domains that are known to the classifier anvi'o uses to predict "
+                             "domains for completion estimation are missing from your contigs database. This means, you didn't run the "
+                             "program `anvi-run-hmms` with default parameters, or you removed some essential SCG domains from it later. Or "
+                             "you did something else. Who knows. Here is the list of domains that are making us upset here: \"%s\". We hope "
+                             "you are happy. If you want to get rid of this warning you can run `anvi-run-hmms` on this your contigs database "
+                             "whenever it is convenient to you, so anvi'o can make sure you have everything in the right place." % \
+                                           (num_domains_missing, ', '.join(self.domains_missing_in_SCG_domain_predictor)))
 
             # since we just established that the user did not run these domains for their contigs database,
             # we will update our self.domains variable to make sure the fucked uppery that will likely take
@@ -126,19 +126,17 @@ def __init__(self, contigs_db_path, scg_domain_classifier_path=None, source_requ
         self.sources_missing_in_SCG_domain_predictor = [s for s in self.sources if s not in self.SCG_domain_predictor.SCG_sources]
         if len(self.sources_missing_in_SCGs_run_for_contigs):
             num_sources_missing = len(self.sources_missing_in_SCGs_run_for_contigs)
-
-            if anvio.DEBUG:
-                self.progress.reset()
-                self.run.warning("All the SCG domains necessary to run the predictor covered in the contigs database, however, %s that are used "
-                                 "during the training of the domain predictor does not seem to occur in it :/ Here is the list of HMM sources "
-                                 "that are making us upset here: \"%s\". This most likely means that either a new version of anvi'o are used with "
-                                 "an older set of single-copy core gene sources, or someone is exploring new single-copy core gene sources to see "
-                                 "how they behave. That's all good and very exciting, but unfortunately anvi'o will not be able to predict domains "
-                                 "due to this incompatibility here. Running `anvi-run-hmms` on this contigs database would've solved this problem "
-                                 "but it is not an absolute necessity as anvi'o will continue running by not utilizing domain-specific HMMs for "
-                                 "completion/redundancy estimates, and report all the results all at once without prioritizing a single domain." % \
-                                               ('an HMM source' if num_sources_missing == 1 else '%s HMM sources' % num_sources_missing,
-                                                ', '.join(self.sources_missing_in_SCGs_run_for_contigs)))
+            self.progress.reset()
+            self.run.warning("OK. We have a VERY interesting problem. You have all the SCG domains necessary to run the predictor covered "
+                             "in your contigs database, however, %s that are used during the training of the domain predictor does not seem "
+                             "to occur in your contigs database :/ Here is the list of HMM sources that are making us upset here: \"%s\".\
+                              This most likely means you are using a new version of anvi'o with older single-copy core gene sources, or you are\
+                              exploring new single-copy core gene sources to see how they behave. That's all good and very exciting, but unfortunately\
+                              anvi'o will not be able to predict domains due to this incompatibility here. You could solve this problem by running\
+                              `anvi-run-hmms` on your contigs database, but you can also live without solving it as anvi'o will continue running\
+                              by not utilizing domain-specific HMMs for completion/redundancy estimates, but giving you all the results all at once." % \
+                                           ('an HMM source' if num_sources_missing == 1 else '%s HMM sources' % num_sources_missing,
+                                            ', '.join(self.sources_missing_in_SCGs_run_for_contigs)))
             self.initialized_properly = False
 
 
@@ -299,7 +297,7 @@ def get_best_matching_domain(self, hmm_hits, observed_genes_per_domain, bin_name
                     info_text = "GREAT DOMAIN EST & YOU'RE GOLDEN. The very high confidence of domain prediction indicates that this set of contigs\
                                  are almost certainly coming from a population that belongs to %s. IN ADDITION, the low redundancy of SCGs\
                                  do not predict any serious contamination. But please remember that this information does not mean there is NO\
-                                 contamination in your genome bin. If you want to take a more careful look, you can try `anvi-refine`." \
+                                 contamination in your genome bin. If you want to take a more carful look, you can try `anvi-refine`." \
                                             % (best_matching_domain)
                 elif best_matching_domain_redundancy >= 10 and best_matching_domain_redundancy <= 100:
                     info_text = "GREAT DOMAIN CONFIDENCE (YAY) BUT SOME SERIOUS REDUNDANCY (BOO). The very high confidence of domain prediction indicates that this\
diff --git a/anvio/constants.py b/anvio/constants.py
index b1db7a2fd6..d754ef8ded 100644
--- a/anvio/constants.py
+++ b/anvio/constants.py
@@ -128,45 +128,12 @@
 # we use uint16 as dtype for numpy arrays when we work on & store coverages
 # which has limit of 65536, so this constant needs to be smaller than that.
 # If you change this value please change all dtypes.
-# (This does not apply to the tRNA-seq workflow, which stores coverages as uint32.)
 max_depth_for_coverage = 60000
 
 # default methods for hierarchical cluster analyses
 distance_metric_default = 'euclidean'
 linkage_method_default = 'ward'
 
-# The purpose of the `fetch_filters` dictionary below is to filter reads as they are
-# read from BAM files especially during anvi'o profiling (the primary client of this
-# dictionary is `anvio/bamops.py`). Essentially, any combination of the following
-# properties defined in the `read` object returned by the `fetch` function of pysam
-# can be added to this dictionary to create new filters that are then globally applied
-# to 'fetched' reads during profiling to exclude those that return `false`:
-#
-#     >>> 'aend', 'alen', 'aligned_pairs', 'bin', 'blocks', 'cigar', 'cigarstring', 'cigartuples',
-#         'compare', 'flag', 'from_dict', 'fromstring', 'get_aligned_pairs', 'get_blocks', 'get_cigar_stats',
-#         'get_forward_qualities', 'get_forward_sequence', 'get_overlap', 'get_reference_positions',
-#         'get_reference_sequence', 'get_tag', 'get_tags', 'has_tag', 'header', 'infer_query_length',
-#         'infer_read_length', 'inferred_length', 'is_duplicate', 'is_paired', 'is_proper_pair',
-#         'is_qcfail', 'is_read1', 'is_read2', 'is_reverse', 'is_secondary', 'is_supplementary',
-#         'is_unmapped', 'isize', 'mapping_quality', 'mapq', 'mate_is_reverse', 'mate_is_unmapped', 'mpos',
-#         'mrnm', 'next_reference_id', 'next_reference_name', 'next_reference_start', 'opt', 'overlap', 'pnext',
-#         'pos', 'positions', 'qend', 'qlen', 'qname', 'qqual', 'qstart', 'qual', 'query', 'query_alignment_end',
-#         'query_alignment_length', 'query_alignment_qualities', 'query_alignment_sequence',
-#         'query_alignment_start', 'query_length', 'query_name', 'query_qualities', 'query_sequence',
-#         'reference_end', 'reference_id', 'reference_length', 'reference_name', 'reference_start', 'rlen',
-#         'rname', 'rnext', 'seq', 'setTag', 'set_tag', 'set_tags', 'tags', 'template_length', 'tid', 'tlen',
-#         'to_dict', 'to_string', 'tostring'
-#
-# Please note that these variable names may change across versions of pysam. See anvio/bamops.py for most
-# up-to-date usage of these filters since we are terrible at updating comments elsewhere in the code after
-# making significant changes to our modules :/
-fetch_filters = {None                 : None,
-                 'double-forwards'    : lambda x: x.is_paired and not x.is_reverse and not x.mate_is_reverse and not x.mate_is_unmapped,
-                 'double-reverses'    : lambda x: x.is_paired and x.is_reverse and x.mate_is_reverse and not x.mate_is_unmapped,
-                 'inversions'         : lambda x: (x.is_paired and not x.is_reverse and not x.mate_is_reverse and not x.mate_is_unmapped) or \
-                                                  (x.is_paired and x.is_reverse and x.mate_is_reverse and not x.mate_is_unmapped) and (abs(x.tlen) < 2000),
-                 'single-mapped-reads': lambda x: x.mate_is_unmapped,
-                 'distant-pairs-1K'   : lambda x: x.is_paired and not x.mate_is_unmapped and abs(x.tlen) > 1000}
 
 # Whether a cigarstring operation consumes the read, reference, or both
 #
@@ -320,28 +287,6 @@
                         'Tyr': ['TAC', 'TAT'],
                         'Val': ['GTA', 'GTC', 'GTG', 'GTT']})
 
-AA_to_anticodons = Counter({'Ala': ['AGC', 'CGC', 'GGC', 'TGC'],
-                            'Arg': ['ACG', 'CCG', 'CCT', 'GCG', 'TCG', 'TCT'],
-                            'Asn': ['ATT', 'GTT'],
-                            'Asp': ['ATC', 'GTC'],
-                            'Cys': ['ACA', 'GCA'],
-                            'Gln': ['CTG', 'TTG'],
-                            'Glu': ['CTC', 'TTC'],
-                            'Gly': ['ACC', 'CCC', 'GCC', 'TCC'],
-                            'His': ['ATG', 'GTG'],
-                            'Ile': ['AAT', 'GAT', 'TAT'],
-                            'Leu': ['AAG', 'CAA', 'CAG', 'GAG', 'TAA', 'TAG'],
-                            'Lys': ['CTT', 'TTT'],
-                            'Met': ['CAT'],
-                            'Phe': ['AAA', 'GAA'],
-                            'Pro': ['AGG', 'CGG', 'GGG', 'TGG'],
-                            'STP': ['CTA', 'TCA', 'TTA'],
-                            'Ser': ['ACT', 'AGA', 'CGA', 'GCT', 'GGA', 'TGA'],
-                            'Thr': ['AGT', 'CGT', 'GGT', 'TGT'],
-                            'Trp': ['CCA'],
-                            'Tyr': ['ATA', 'GTA'],
-                            'Val': ['AAC', 'CAC', 'GAC', 'TAC']})
-
 AA_to_single_letter_code = Counter({'Ala': 'A', 'Arg': 'R', 'Asn': 'N', 'Asp': 'D',
                                     'Cys': 'C', 'Gln': 'Q', 'Glu': 'E', 'Gly': 'G',
                                     'His': 'H', 'Ile': 'I', 'Leu': 'L', 'Lys': 'K',
diff --git a/anvio/contigops.py b/anvio/contigops.py
index e082803315..46af489803 100644
--- a/anvio/contigops.py
+++ b/anvio/contigops.py
@@ -105,14 +105,14 @@ def analyze_coverage(self, bam, min_percent_identity):
                 bam,
                 self,
                 read_iterator='fetch',
-                max_coverage=anvio.auxiliarydataops.DEFAULT_COVERAGE_MAX_VALUE,
+                max_coverage=anvio.auxiliarydataops.COVERAGE_MAX_VALUE,
             )
         else:
             self.coverage.run(
                 bam,
                 self,
                 read_iterator='fetch_filter_and_trim',
-                max_coverage=anvio.auxiliarydataops.DEFAULT_COVERAGE_MAX_VALUE,
+                max_coverage=anvio.auxiliarydataops.COVERAGE_MAX_VALUE,
                 percent_id_cutoff=min_percent_identity,
             )
 
diff --git a/anvio/data/interactive/css/main.css b/anvio/data/interactive/css/main.css
index c7b869eaf9..7d10e622cc 100644
--- a/anvio/data/interactive/css/main.css
+++ b/anvio/data/interactive/css/main.css
@@ -167,8 +167,7 @@ html, body, #wrapper {
     display: block;
     position: relative;
     border: 1px solid lightgray;
-    border-radius: 5px;
-    background-color: #f9f9f9;
+    background-color: white;
     width: 100%;
     padding: 8px;
     font-size: 12px;
diff --git a/anvio/data/interactive/images/logo-inverted.png b/anvio/data/interactive/images/logo-inverted.png
deleted file mode 100644
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GIT binary patch
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zl-`@9@}!kSjINmdYPA9V1XRA~V%;)aqfS4j`o-@wT%pu=L-zk0_f=ET$im-c*Xw2;
zstn)7$q@)nC+<GDCDko`R^Z=JanntuOx^D5b+wV9vt#VetpSm$^dkS4#s9wiH%uRf
z&c3U*0eCcMs9gG5T_G$>8namjZ6rz1ylK(@U5lyUZ?*Wl@szQ(EX-!+5%phlV*^EY
zz16||pBiG}@4-(0@3qR~hAb^`DPt7OS;f995Bm<$uaVNz-RS`VPESXJp>72`vH!i?
zXmPz(kz5Hg)E73^8uF!fk!CYTl^f}YSBwSzw<Ox`KNkASe5rE{={_Sa<-@IsBSRxi
z`~H1|RYuvHx&<hp9&v{n2+uxtpF83i;Rp2G_p)@^3FSVo@B065n=;Cbmx`v|P3qbW
zM&~Q{9i!Vf(tjNNM}q>tEgUXL9qod+ZD-pTfQ_|YY6T6J1B<|dq>m;v(wE}OUSL9H
zJpcFZhZOA<eass0?1LMe!*o@Ww}D`4$drVXq^5FXXlJrav3`r%e}Z($9I%l+m8<;j
zz8qeFWs}?o^uLs0VGhZOlCIXHsK5W3i!ZNzBKTOn$0UGu%o4jeMdmW4Zv$cM=k&4i
zS`H8;cm41dtC<T<p6T}gn^N-V6{y9@`te)>WRgBAG@`M-T<V=NTB1h4Q^9ddb&vB0
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zMohe%thlw{pp2=yu78>;6S2u{^Pl+N10CS^aE&&-IQdWs2ScxhXP;(|?>(8Lu4`gI
zKc*GLo_jJHGSc$z=)8H&V8Vmp#t6A!&~N%ahV`^wgk`goiP@~a{c>0W8cK0btNQxy
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z0SYl&0?|ct(@7)WU-cNgc|dCs^*=2DSwN*8a6|6gL@1QSPaQDe3}ucEITJ+xT^%?X
z9*xIYMA(=GaJHSMMg((?fxhUxM*~*)1(?mcA3Bk{nNw>a$#EJ2z1?|VS>4|VzPWH7
ziq<{;q4nkeCh!;R{bW=ED87JS2!85m$l9XR25zqA8vOG#7=r{2vzAIQg4ybGav!r`
zpcPs%p|k5=|H%{|4^jb*Q?f><kq@Hne#Z~!)2E#Y>cH^+5iEC{H?RjFSjQ-%6ZqwY
z3Xal#nDSc-)NKLKmQ*+}qyLP;v5;ZBwdhAASP0B6RV&ipKrYg(UnGn=f(NMphifYU
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z#%Ul0*`C)J=ds?Awvhf&78-jm7uacH`S71%PrZG_sg}Lo3_#%N>gTe~DWM4fSok_;

diff --git a/anvio/data/interactive/index.html b/anvio/data/interactive/index.html
index b8133593ef..478de2a247 100644
--- a/anvio/data/interactive/index.html
+++ b/anvio/data/interactive/index.html
@@ -105,6 +105,10 @@
                 <span id="toggle-panel-right-2-inner">&#9664;</span><span style="display: block; font-size: 11px; transform: rotate(90deg);">DESCRIPTIO<u>N</u></span>
         </div>
 
+        <div id="toggle-panel-right-3" onclick="toggleRightPanel('#news-panel');">
+                <span id="toggle-panel-right-3-inner">&#9664;</span><span style="display: block; font-size: 11px; transform: rotate(90deg);">NE<u>W</u>S</span>
+        </div>
+
         <div id="panel-center">
             <svg id="svg" xmlns="http://www.w3.org/2000/svg" version="1.1">
                 <g id="viewport"></g>
@@ -132,7 +136,6 @@
                         <ul class="dropdown-menu multi-level" role="menu">
                           <li><a href="https://github.com/merenlab/anvio/blob/master/AUTHORS.txt">Anvi'o authors</a></li>
                           <li><a href="http://merenlab.org/projects/anvio/">Anvi'o project page</a></li>
-                          <li><a href='#' onclick="showAllNews()">Anvi'o news</a></li>
                           <li><a href="http://merenlab.org/2019/10/07/getting-help/">Getting help</a></li>
                           <li><a href="https://github.com/meren/anvio/issues">Browse known issues / Report an issue</a></li>
                           <li><a href="http://merenlab.org/people/">Contact us</a></li>
@@ -894,6 +897,16 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;">Select all layers in
     <div id="description-panel">
         <textarea id="description-editor" rows="10"></textarea>
     </div>
+
+    <div id="news-panel">
+        <h1 style="font-size: 22px; display: inline-block;">What's New</h1>
+	<div id="news-mark-read">
+	    <p style="border: 1px dashed #b8b8b8; background: #f0f8ff2e; border-radius: 4px; padding: 6px;">
+                <a href="#" style="font-weight: bold; color: red;" onclick="newsMarkRead();">Mark everything as read</a> to make the annoying news button stop blinking red.
+            </p>
+        </div>
+        <div id="news-panel-inner"></div>
+    </div>
     <!-- DIALOGS SECTION -->
 
     <!-- LOAD STATE -->
@@ -947,26 +960,6 @@ <h4 class="modal-title">Save State</h4>
             </div>
         </div>
     </div>
-    <!-- NEWS MODAL -->
-    <div class="modal fade" id="modNewsBadger">
-        <div class="modal-dialog">
-            <div class="modal-content">
-                <div class="modal-header" style="padding-bottom: 0px;">
-                    <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
-                    <h4 class="modal-title">📰 The Anvi'o News Network</h4>
-                    <p style="padding: 10px 10px 0px 10px;">Click the button below to mark all news as read to not see this window again until there is a new news for you from the anvi'o developers 😇</p>
-                </div>
-                <div class="modal-body">
-                    <div id='modNewsBadger-inner'></div>
-                </div>
-
-                <div class="modal-footer">
-                    <button class="btn btn-default" type='button' onclick='newsMarkRead()'>Mark all news as read</button>
-                    <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
-                </div>
-            </div>
-        </div>
-    </div>
 
     <!-- GENERATE SUMMARY -->
     <div class="modal fade" id="modGenerateSummary">
diff --git a/anvio/data/interactive/js/bin.js b/anvio/data/interactive/js/bin.js
index 3d9d2c6068..ac2a69db59 100644
--- a/anvio/data/interactive/js/bin.js
+++ b/anvio/data/interactive/js/bin.js
@@ -6,8 +6,6 @@
  *
  *  Copyright 2015-2021, The anvi'o project (http://anvio.org)
  *
- * This file is part of anvi'o (<https://github.com/meren/anvio>).
- *
  * Anvi'o is a free software. You can redistribute this program
  * and/or modify it under the terms of the GNU General Public
  * License as published by the Free Software Foundation, either
@@ -656,13 +654,9 @@ Bins.prototype.MigrateCollection = function() {
     // we need to migrate exist collection and bind them to newly created objects.
 
     let collection = this.ExportCollection(use_bin_id=true);
-    if (collection){
-        for (let bin_id of Object.keys(collection?.['data']).sort() || undefined) {
-            if (typeof bin_id === undefined){
-                return
-            }
-            this.selections[bin_id] = new Set(collection['data'][bin_id].map((node_label) => drawer.tree.GetLeafByName(node_label)));
-        }
+
+    for (let bin_id of Object.keys(collection['data']).sort()) {
+        this.selections[bin_id] = new Set(collection['data'][bin_id].map((node_label) => drawer.tree.GetLeafByName(node_label)));
     }
 }
 
@@ -730,7 +724,6 @@ Bins.prototype.ExportCollection = function(use_bin_id=false) {
         let items = [];
 
         for (let node of this.selections[bin_id].values()) {
-            if (node === null) return;
             if (node.IsLeaf()) {
                 items.push(node.label);
             }
@@ -804,7 +797,6 @@ Bins.prototype.RedrawLineColors = function() {
         if (this.selections[bin_id].size) {
             let bin_color = this.GetBinColor(bin_id);
             for (let node of this.selections[bin_id].values()) {
-                if (node === null) return;
                 node.SetColor(bin_color);
             }
         }
@@ -815,6 +807,7 @@ Bins.prototype.DrawInvertedNodes = function(leaf_list, rect_width){
 
     var inverse_fill_opacity = $('#inverse_fill_opacity').val();
     var inverse_color = document.getElementById('inverse_color').getAttribute('color');
+
     let nodes_for_inversion = []
     let calculatedRectX = 0
 
@@ -895,7 +888,6 @@ Bins.prototype.RedrawBins = function() {
 
     for (let bin_id in this.selections) {
         for (let node of this.selections[bin_id].values()) {
-            if (node === null) return;
             if (typeof node === 'undefined')
             {
                 this.selections[bin_id].delete(node);
@@ -1166,7 +1158,6 @@ Bins.prototype.RebuildIntersections = function() {
             removed = false;
 
             for (let node of this.selections[bin_id].values()) {
-                if (node === null) return;
                 if (node.IsLeaf()) {
                     continue;
                 }
diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index fd37cbf0ee..13cea46da8 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -162,19 +162,6 @@ function loadAll() {
                 total = contig_data.total;
                 genes = contig_data.genes;
 
-                // if the gene is in reverse direction, we here we will add
-                // a reversed copy of the amino acid sequence so we can show
-                // residuies in the right order when the user zooms in, but
-                // still return the correct amino acid sequence when they want
-                // to copy it through the interface.
-                for(gene_entry_id in genes){
-                    if(genes[gene_entry_id].call_type == 1 && typeof genes[gene_entry_id].aa_sequence != "undefined"){
-                        if(genes[gene_entry_id].direction == "r") {
-                            genes[gene_entry_id].aa_sequence_to_display = genes[gene_entry_id].aa_sequence.split('').reverse().join('');
-                        }
-                    }
-                }
-
                 if(layers.length == 0){
                     console.log('Warning: no layers returned')
                 }
@@ -232,7 +219,7 @@ function loadAll() {
                 indels_enabled = maxCountOverCoverage != 0;
                 if(!indels_enabled || state['show_indels'] == null) state['show_indels'] = indels_enabled;
                 state['snv_scale_bottom'] = state['snv_scale_dir_up'] = state['snvs_enabled'] || indels_enabled;
-                if(state['fixed-y-scale'] == null) state['fixed-y-scale'] = false;
+                if(state['fixed-y-scale'] == null) state['fixed-y-scale'] = true;
 
                 // adjust menu options
                 if(!indels_enabled && (!state['snvs_enabled'] || maxVariability==0)) {
@@ -304,26 +291,12 @@ function loadAll() {
                     $("div.indels-disabled").fadeIn(300);
                   }
                 }
-                if(state.hasOwnProperty('show_snvs')){
-                  $('#toggle_snv_box').attr("checked", state['show_snvs']);
-                }
-
-                if(state.hasOwnProperty('show_indels')){
-                  $('#toggle_indel_box').attr("checked", state['show_indels']);
-                }
-
-                if(state.hasOwnProperty('snv_scale_bottom')){
-                  $("#snv_scale_box").attr("checked", state['snv_scale_bottom']);
-                }
-
-                if(state.hasOwnProperty('snv_scale_dir_up')){
-                  $("#scale_dir_box").attr("checked", state['snv_scale_dir_up']);
-                }
-
-                if(state.hasOwnProperty('fixed-y-scale')){
-                  $('#fixed_ys_box').attr("checked", state['fixed-y-scale']);
-                }
 
+                if(state['show_snvs']) $('#toggle_snv_box').attr("checked", "checked");
+                if(state['show_indels']) $('#toggle_indel_box').attr("checked", "checked");
+                if(state['snv_scale_bottom']) $("#snv_scale_box").attr("checked", "checked");
+                if(state['snv_scale_dir_up']) $("#scale_dir_box").attr("checked", "checked");
+                if(state['fixed-y-scale']) $('#fixed_ys_box').attr("checked", "checked");
                 $('#toggle_highlight_box').attr("checked", "checked");
                 $('#toggle_nucl_box').attr("checked", "checked");
 
@@ -337,25 +310,14 @@ function loadAll() {
                           cache: false,
                           url: '/state/get/' + state['state-name'],
                           success: function(response) {
-                              try {
-                                  if(!response){
-                                      // FIXME: This means we are likely in stand-alone mode where the inspection page
-                                      // is called via `anvi-inspect` and without going through the main interface.
-                                      // In this case there is no state, and no other data to be read from, and we
-                                      // fail to show SNVs and INDELs even when they are there, which is not the best
-                                      // behavior here. leaving this here so we remember:
-                                      toastr.error("You probably are here via `anvi-inspect`, and due to some technical issues, "
-                                                   + "the interface is being initialized without any SNV or INDEL data :/ Anvi'o "
-                                                   + "developers apologize for this shortcoming.");
-                                  } else {
-                                      clusteringData = response[1]['data'];
-                                      info("Loading ordering data");
-                                      loadOrderingAdditionalData(response[1]);
-
-                                      info("Processing state data from the server");
-                                      processState(state['state-name'], response[0]);
-                                  }
-                              } catch(e) {
+                              try{
+                                  clusteringData = response[1]['data'];
+                                  info("Loading ordering data");
+                                  loadOrderingAdditionalData(response[1]);
+
+                                  info("Processing state data from the server");
+                                  processState(state['state-name'], response[0]);
+                              }catch(e){
                                   console.error("Exception thrown", e.stack);
                                   toastr.error('Failed to parse state data, ' + e);
                                   defer.reject();
@@ -992,22 +954,13 @@ function display_nucleotides() {
         offset_y = offset_y == 0 ? 5+dna_seq_height : 0;
         overlapping_genes = true;
       }
-
       if(gene.call_type == 1 && typeof gene.aa_sequence != "undefined") {
-        var aas_in_window = null
-
-        // determine in which order amino acids are shown based on the direction
-        // of the gene:
-        if(gene.direction == "r") {
-            aas_in_window = gene.aa_sequence_to_display.substring(aa_i, aa_f);
-            aa_string += "STP\xa0" + aas_in_window.split('').join('\xa0\xa0') + "\xa0";
-        } else {
-            aas_in_window = gene.aa_sequence.substring(aa_i, aa_f);
-            aa_string += "\xa0" + aas_in_window.split('').join('\xa0\xa0') + "\xa0STP";
+        var aas_in_window = gene.aa_sequence.substring(aa_i, aa_f);
+        aa_string += "\xa0" + aas_in_window.split('').join('\xa0\xa0') + "\xa0";
+        if(aa_f == gene.aa_sequence.length+1) {
+          aa_string += "STP";
+          aas_in_window += "\xa0";
         }
-
-        aas_in_window += "\xa0";
-
         for(var i = 0; i < aas_in_window.length; i++) {
           aa_sequence.append("rect")
                      .attr("id", "AA_" + i)
@@ -1448,8 +1401,6 @@ function saveState()
 
                 current_state_name = name;
                 toastr.success("State '" + current_state_name + "' successfully saved.");
-                toastr.info("Now loading saved state '" + current_state_name + "' into current session.");
-                processState(current_state_name, serializeSettings())
             }
         }
     });
@@ -1493,25 +1444,12 @@ function processState(state_name, state) {
       //$('#minIndelInput').val(0);
     }
 
-    if(state.hasOwnProperty('show_snvs')){
-      $('#toggle_snv_box').attr("checked", state['show_snvs']);
-    }
-
-    if(state.hasOwnProperty('show_indels')){
-      $('#toggle_indel_box').attr("checked", state['show_indels']);
-    }
-
-    if(state.hasOwnProperty('snv_scale_bottom')){
-      $("#snv_scale_box").attr("checked", state['snv_scale_bottom']);
-    }
-
-    if(state.hasOwnProperty('snv_scale_dir_up')){
-      $("#scale_dir_box").attr("checked", state['snv_scale_dir_up']);
-    }
-
-    if(state.hasOwnProperty('fixed-y-scale')){
-      $('#fixed_ys_box').attr("checked", state['fixed-y-scale']);
-    }
+    state['show_highlights'] = $('#toggle_highlight_box').val() == "on";
+    state['show_snvs'] = $('#toggle_snv_box').val() == "on";
+    state['show_indels'] = $('#toggle_indel_box').val() == "on";
+    state['snv_scale_bottom'] = $('#snv_scale_box').val() == "on";
+    state['snv_scale_dir_up'] = $('#scale_dir_box').val() == "on";
+    state['fixed-y-scale'] = $('#fixed_ys_box').val() == "on";
 
     state['state-name'] = current_state_name = state_name;
 
diff --git a/anvio/data/interactive/js/main.js b/anvio/data/interactive/js/main.js
index 13f4edccee..c4c40cc578 100644
--- a/anvio/data/interactive/js/main.js
+++ b/anvio/data/interactive/js/main.js
@@ -64,7 +64,6 @@ var layer_order;
 var sample_names;
 
 var current_state_name = "";
-var a_default_state_is_found = false;
 
 var collapsedNodes = [];
 
@@ -215,9 +214,6 @@ function initData() {
             switchUserInterfaceMode(response.project, response.title);
             setupDescriptionPanel(response.description);
 
-            if (response.state[0] && response.state[0] == 'default')
-                a_default_state_is_found = true;
-
             document.title = response.title;
             $('#title-panel-first-line').text(response.title);
 
@@ -258,6 +254,7 @@ function initData() {
 
             loadOrderingAdditionalData(default_order);
 
+
             var default_view = response.views[0];
             var available_views = response.views[2];
             $('#views_container').append(getComboBoxContent(default_view, available_views));
@@ -1225,12 +1222,12 @@ function buildLayersTable(order, settings)
                         if (_unique_items.indexOf(layerdata[_pos][layer_id]) === -1)
                             _unique_items.push(layerdata[_pos][layer_id]);
 
-                        if (_unique_items.length > 250 && !a_default_state_is_found) {
-                            toastr.warning("The layer '" + layer_name + "' has TOO MANY unique categorical values " +
-                                           "to be shown as colors (precisely " + _unique_items.length + " of them) :/ " +
-                                           "So, anvi'o set the `height` value of this layer to 0. You can change it " +
-                                           "from the 'Main' panel, and tame your colors through the 'Legends' panel.");
+                        if (_unique_items.length > 20) {
+                            toastr.info("Too many categorical values for the layer '" + layer_name + "' to be shown in colors, switching to text.");
                             height = '0';
+                            type = 'text';
+                            // we have at least one text layer, we can show max font size input
+                            $('.max-font-size-input').show();
                             break;
                         }
                     }
@@ -2672,7 +2669,7 @@ function processState(state_name, state) {
     }
 
     if (state.hasOwnProperty('begins-from-branch')) {
-        $('#begins_from_branch').prop('checked', state['begins-from-branch'])
+        $('#begins_from_branch').val(state['begins-from-branch'])
     }
 
     // bootstrap values
diff --git a/anvio/data/interactive/js/news.js b/anvio/data/interactive/js/news.js
index 2ae427122f..a8e15f9bdf 100644
--- a/anvio/data/interactive/js/news.js
+++ b/anvio/data/interactive/js/news.js
@@ -22,7 +22,9 @@ $(document).ready(function() {
     checkNews();
 });
 
-function checkNews() { // only render unread news items
+function checkNews() {
+    $('#news-panel-inner').empty();
+
     $.ajax({
         type: 'GET',
         cache: false,
@@ -32,51 +34,42 @@ function checkNews() { // only render unread news items
             var hash_found = false;
             var unread_count = 0;
 
-            // let test_news_item = {
-            //     content: 'beep boop',
-            //     date: '15.11.2021',
-            //     title : 'this is my test news'
-            // }
-            // news.unshift(test_news_item)
-
             for (var i=0; i < news.length; i++) {
                 var news_item = news[i];
                 if (hash_found || last_seen_hash == md5(news_item['title'])) {
                     hash_found = true;
                 } else {
                     unread_count++;
-                    $('#modNewsBadger-inner').append('<div class="news-item"> \
-                                                  <h1>' + ((hash_found) ? '' : '<span class="blue-dot">') + '</span>'+news_item['title']+'</h1> \
-                                                  <span class="news-date">'+news_item['date']+'</span>'+renderMarkdown(news_item['content'])+'</div>')
                 }
+                $('#news-panel-inner').append('<div class="news-item"> \
+                                              <h1>' + ((hash_found) ? '' : '<span class="blue-dot">') + '</span>'+news_item['title']+'</h1> \
+                                              <span class="news-date">'+news_item['date']+'</span>'+renderMarkdown(news_item['content'])+'</div>')
             }
+
             if (unread_count > 0) {
-                $('#modNewsBadger').modal('show')
-            }
-        }
-    });
-}
+                $('#toggle-panel-right-3').css('color', '#FF0000');
+                $('#toggle-panel-right-3').addClass('fading-button');
 
-function showAllNews(){ // render all news items regardless of cookie content - called from interactive hamburger dropdown.
-    $('#modNewsBadger-inner').empty()
-    console.log('got here')
-    $.ajax({
-        type: 'GET',
-        cache: false,
-        url: '/data/news',
-        success: function(news) {
-            for (var i=0; i < news.length; i++) {
-                var news_item = news[i];
-                $('#modNewsBadger-inner').append('<div class="news-item"> \
-                                              <h1>' + '</span>'+news_item['title']+'</h1> \
-                                              <span class="news-date">'+news_item['date']+'</span>'+renderMarkdown(news_item['content'])+'</div>')
+		$('#toggle-panel-right-3').mouseover(function() {
+			if(!$('#news-panel').is(':visible')) {
+				$(this).addClass('toggle-panel-right-pos-3');
+                		toggleRightPanel('#news-panel');
+                		$('#toggle-panel-right-3-inner').html('&#9658;');
+                	}
+		});
+            } else {
+		// remove upon starting interface in case 'last-seen-hash' cookie is not cleared
+	    	$('#news-mark-read').remove();
             }
-            $('#modNewsBadger').modal('show')
         }
     });
 }
 
 function newsMarkRead() {
     $('.blue-dot').remove();
+    $('#toggle-panel-right-3').css('color', '#000000');
+    $('#toggle-panel-right-3').removeClass('fading-button');
+    $('#news-mark-read').remove();
+    $('#toggle-panel-right-3').off('mouseover');
     createCookie('last_seen_hash', md5($('.news-item > h1')[0].textContent), -1);
 }
diff --git a/anvio/data/interactive/js/svg-helpers.js b/anvio/data/interactive/js/svg-helpers.js
index 9f9bfdc245..710a4e4ab4 100644
--- a/anvio/data/interactive/js/svg-helpers.js
+++ b/anvio/data/interactive/js/svg-helpers.js
@@ -278,11 +278,9 @@ function drawSupportValue(svg_id, p, p0, p1, supportValueData) {
         let circle = document.createElementNS('http://www.w3.org/2000/svg', 'circle')
         let radius
         let maxRadius = supportValueData.maxRadius
-        let rangeLow = parseFloat(supportValueData.numberRange[0])
-        let rangeHigh = parseFloat(supportValueData.numberRange[1])
 
         function calculatePercentile(){ // calculate percentile of data point in range
-            return (p.branch_support - rangeLow) / (rangeHigh - rangeLow)
+            return (p.branch_support - parseInt(supportValueData.numberRange[0])) / (parseInt(supportValueData.numberRange[1]) - parseInt(supportValueData.numberRange[0]))
         }
 
         function setDetails(percentile){
@@ -298,6 +296,7 @@ function drawSupportValue(svg_id, p, p0, p1, supportValueData) {
 
         function makeCircle(){ // time to make the gravy
             setDetails(calculatePercentile())
+            console.log(calculatePercentile())
 
             circle.setAttribute('cx', p.xy.x)
             circle.setAttribute('cy', p.xy.y)
@@ -440,7 +439,7 @@ function drawRotatedText(svg_id, p, string, angle, align, font_size, font_family
     text.appendChild(textNode);
     var svg = document.getElementById(svg_id);
     svg.appendChild(text);
-
+    
     // trim long text
 
     if (maxLength > 0)
diff --git a/anvio/data/mini-states/display-functions.json b/anvio/data/mini-states/display-functions.json
index 04e1168d5c..f6146443de 100644
--- a/anvio/data/mini-states/display-functions.json
+++ b/anvio/data/mini-states/display-functions.json
@@ -34,13 +34,6 @@
             "margin": "15",
             "type": "intensity",
             "color-start": "#3d7a00"
-        },
-        "__FUNCTIONS_LAYER_NAME__": {
-            "color": "#000000",
-            "height": "0",
-            "margin": "15",
-            "type": "text",
-            "color-start": "#e8e8e8"
         }
     },
     "views": {
diff --git a/anvio/data/misc/PEOPLE/DEVELOPERS.yaml b/anvio/data/misc/AUTHORS/AUTHORS.yaml
similarity index 53%
rename from anvio/data/misc/PEOPLE/DEVELOPERS.yaml
rename to anvio/data/misc/AUTHORS/AUTHORS.yaml
index 007bbf21e4..fcd03295c4 100644
--- a/anvio/data/misc/PEOPLE/DEVELOPERS.yaml
+++ b/anvio/data/misc/AUTHORS/AUTHORS.yaml
@@ -1,33 +1,23 @@
 - github: meren
   name: A. Murat Eren (Meren)
   twitter: merenbey
-  web: http://merenlab.org
+  web: http://meren.org
   avatar: meren.jpg
   email: a.murat.eren@gmail.com
   linkedin: meren
   orcid: 0000-0001-9013-4827
   skype: a.murat.eren
-  bio: "Computer scientist and microbial ecologist interested in undersatnding mechanisms by which microbes interact with their surroundings, evolve, disperse, and respond to environmental change."
+  bio: "I am a computer scientist with a deep appreciation for the complexity of life. I design algorithms and experiments to better understand microbes and their ecology."
   affiliations:
-    - title: Fellow
+    - title: MBL Fellow
       inst: Marine Biological Laboratory
       inst_link: http://www.mbl.edu/research/mbl-fellows/a-murat-eren/
-      current: true
-    - title: Fellow
-      inst: Alfred P. Sloan Fondation
-      inst_link: https://sloan.org/grant-detail/9260
-      current: true
     - title: Assistant Professor
       inst: The Department of Medicine at the University of Chicago
       inst_link: http://medicine.uchicago.edu/
-      current: true
     - title: Committee on Microbiology
       inst: The Biomedical Sciences Cluster at the University of Chicago
       inst_link: https://biomedsciences.uchicago.edu/
-      current: true
-    - title: Post-doctoral Scientist
-      inst: Marine Biological Laboratory
-      inst_link: https://mbl.edu
 
 - github: FlorianTrigodet
   name: Florian Trigodet
@@ -36,12 +26,11 @@
   orcid: 0000-0002-4933-2896
   linkedin: florian-trigodet-67b351b4
   avatar: FlorianTrigodet.jpg
-  bio: "Microbiologist using advanced computational strategies to make sense of the microbial ecology of complex habitats."
+  bio: "I am a microbiologist by training, and as a postdoctoral researcher I am using advanced computational strategies to make sense of the microbial ecology of complex habitats."
   affiliations:
     - title: Post-doctoral Scientist
       inst: The Department of Medicine at the University of Chicago
       inst_link: http://medicine.uchicago.edu/
-      current: true
 
 - github: watsonar
   name: Andrea Watson
@@ -50,36 +39,24 @@
   orcid: 0000-0003-0128-6795
   twitter: awatsontxt
   avatar: watsonar.jpg
-  bio: "Microbiologist interested in combining wet lab and computational methods in a complementary way to answer fundamental questions."
+  bio: "I am interested in combining wet lab and computational methods in a complementary way to answer microbiological questions."
   affiliations:
-    - title: Bioinformatics Scientist
-      inst: Vedanta Biosciences
-      inst_link: https://www.vedantabio.com/
-      current: true
     - title: Graduate Student
       inst: Committee on Microbiology at the University of Chicago
       inst_link: https://biomedsciences.uchicago.edu/page/microbiology
 
 - github: ekiefl
   name: Evan Kiefl
-  web: http://ekiefl.github.io
   twitter: evankiefl
-  linkedin: ekiefl
+  linkedin: evan-kiefl-825985b7
   orcid: 0000-0002-6473-0921
   email: kiefl.evan@gmail.com
   avatar: ekiefl.jpg
-  bio: "Computational biologist and software developer with a research focus on developing analysis and visualization strategies for complex multi-'omics data, particularly at the intersection of structural biology and metagenomics."
-  intellectual-contributions:
-    - contribution: "Spearheaded the development of protein structure prediction, analysis, and visualization capabilities within anvi'o"
-    - contribution: "Redesigned mission-critical code related to metagenomic workflows, decreasing compute times from >100 hours to <1 hour for terabyte-scale analyses"
-    - contribution: "Made significant contributions to the overall health and maintenance of the codebase through code reviews, performance refactoring, feature implementation, and issue diagnosis"
-    - contribution: "Made significant contributions to the storage, processing, and analysis strategies related to single nucleotide variants (SNVs), single codon variants (SCVs), single amino acid variants (SAAVs), and insertions/deletions (INDELs)"
-    - contribution: "Made significant contributions to documentation, totaling >3,000 lines of codebase documentation and >20,000 words of blogs/tutorials/workflows"
+  bio: "I am interested in uncovering how single nucleotide variants map to functional variation in the genes of naturally-occuring microbial populations."
   affiliations:
     - title: Graduate Student
       inst: The Biophysical Sciences Program at the University of Chicago
       inst_link: http://biophysics.uchicago.edu/
-      current: true
 
 - github: mschecht
   name: Matthew Schechter
@@ -88,33 +65,26 @@
   linkedin: matthewschechter
   orcid: 0000-0002-8435-3203
   twitter: mschecht_bio
-  bio: "Microbiologist interested in combining comparative genomics and environmental metagenomics to identify genetic determinants of fitness in microbial populations in the human gut and ocean microbiome."
+  bio: "I am interested in combining comparative genomics and environmental metagenomics to identify genetic determinants of fitness in microbial populations in the human gut and ocean microbiome."
   affiliations:
     - title: Graduate Student
       inst: Committee on Microbiology at the University of Chicago
       inst_link: https://biomedsciences.uchicago.edu/page/microbiology
-      current: true
 
 - github: ivagljiva
   name: Iva Veseli
   email: iveseli@uchicago.edu
   orcid: 0000-0003-2390-528
-  twitter: ivaglj1va
   linkedin: iva-veseli
   avatar: ivagljiva.jpg
-  bio: "Computer scientist and biologist who leverages computational methods to study microbial metabolism in environmental metagenomes."
-  intellectual-contributions:
-    - contribution: "Spearheaded the development of <a href=https://anvio.org/help/main/programs/anvi-estimate-metabolism/>anvi'o metabolism framework</a>"
-    - contribution: "Spearheaded <a href=https://anvio.org/vocabulary>the 'omics vocabulary</a> effort"
+  bio: "I am a computer scientist/biologist who leverages computational methods to explore biological data. Currently, I am studying microbial metabolism in environmental metagenomes."
   affiliations:
     - title: Graduate Student
       inst: The Biophysical Sciences Program at the University of Chicago
       inst_link: http://biophysics.uchicago.edu/
-      current: true
     - title: Fellow
       inst: NSF Graduate Research Fellowship Program
       inst_link: https://www.nsfgrfp.org/
-      current: true
 
 - github: moritzbuck
   name: Moritz Buck
@@ -124,7 +94,6 @@
     - title: Researcher
       inst: Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences
       inst_link: https://www.slu.se/en/departments/aquatic-sciences-assessment/
-      current: true
 
 - github: semiller10
   name: Samuel Miller
@@ -133,24 +102,22 @@
   twitter: smiller_science
   web: https://semiller10.github.io
   avatar: semiller10.jpg
-  bio: "Computational and molecular microbiologist studying how microbes function in their environments through tRNA-sequencing, proteomics, and metagenomics."
+  bio: "I study how microbes function in their environments by developing and applying computational tools to interpret data from approaches such as tRNA-sequencing, proteomics, and metagenomics."
   affiliations:
     - title: Post-doctoral Scientist
       inst: The Department of Medicine at the University of Chicago
       inst_link: http://medicine.uchicago.edu/
-      current: true
 
 - github: isaacfink21
   name: Isaac Fink
   email: iafink@uchicago.edu
   avatar: isaacfink21.png
   orcid: 0000-0003-3930-029X
-  bio: "Computer scientist interested in enhancing the power and accessibility of computational strategies to study microbial life."
+  bio: "I am interested in enhancing the power and accessibility of computational tools that analyze the microbiome."
   affiliations:
     - title: Undergraduate Student
       inst: Computer Science
       inst_link: http://collegecatalog.uchicago.edu/thecollege/computerscience/
-      current: true
 
 - github: matthewlawrenceklein
   name: Matthew Lawrence Klein
@@ -158,12 +125,11 @@
   linkedin: matthew-lawrence-klein
   email: mtt.l.kln@gmail.com
   avatar: matthewlawrenceklein.jpg
-  bio: "Software developer interested in the role of technology in supporting a more equitable future on planet earth."
+  bio: "I am interested in technology's role in supporting a more equitable future on planet earth."
   affiliations:
     - title: Programmer
       inst: The Department of Medicine at the University of Chicago
       inst_link: http://medicine.uchicago.edu/
-      current: true
 
 - github: blankenberg
   name: Daniel Blankenberg
@@ -172,24 +138,17 @@
     - title: Faculty Member
       inst: Genomic Medicine Institute at the Cleveland Clinic Lerner Research Institute
       inst_link: http://www.lerner.ccf.org/gmi/
-      current: true
 
 - github: Jessica-Pan
   name: Jessica Pan
   email: jnpan@mit.edu
   avatar: Jessica-Pan.png
   orcid: 0000-0002-6743-6146
-  bio: "Computer scientist interested in computational methods to investigate microbial ecosystems and making those techniques more accessible to others."
-  intellectual-contributions:
-    - contribution: "Populated the initial program and artifact descriptions used in <a href=https://anvio.org/help/main>help pages</a>"
+  bio: "I am interested in using computational strategies to investigate microbial ecosystems and working to make those techniques more accessible to others."
   affiliations:
     - title: Undergraduate Student
       inst: Massachusetts Institute of Technology
       inst_link: http://web.mit.edu/
-      current: true
-    - title: Intern
-      inst: The Department of Medicine at the University of Chicago
-      inst_link: http://medicine.uchicago.edu/
 
 - github: ShaiberAlon
   name: Alon Shaiber
@@ -199,14 +158,8 @@
   linkedin: alon-shaiber
   skype: alon.shaiber
   avatar: ShaiberAlon.jpg
-  bio: "Computational scientist previously studying microbial ecology, currently studying structural variation in cancer genomics, and what's next? Who knows?"
-  intellectual-contributions:
-    - contribution: "Spearheaded the development of <a href=https://merenlab.org/2018/07/09/anvio-snakemake-workflows/>anvi'o snakemake workflows</a>"
+  bio: "I'm a graduate student in the Bio Physical Sciences Program at UChicago. I'm fascinated by the complexity of microbial ecology and interested in applying and developing computational tools to explore it."
   affiliations:
-    - title: Genomics Data Scientist
-      inst: Weill Cornell Medicine
-      inst_link: https://weill.cornell.edu/
-      current: true
     - title: Graduate Student
       inst: The Biophysical Sciences Program at the University of Chicago
       inst_link: http://biophysics.uchicago.edu/
@@ -217,26 +170,15 @@
   twitter: ozcanesen
   avatar: ozcan.jpg
   web: http://blog.ozcanesen.com/
-  bio: "Computer engineer interested in developing tools for the visualization of complex data."
-  intellectual-contributions:
-    - contribution: "Spearheaded the development of interactive interfaces of anvi'o"
-    - contribution: "Implemented the framework for seamless migration of anvi'o databases between versions"
-  affiliations:
-    - title: Programmer
-      inst: The Department of Medicine at the University of Chicago
-      inst_link: http://medicine.uchicago.edu/
+  bio: "As a computer engineer I strive to utilize my expertise to investigate challenges in microbial ecology, metagenomics, and visualization of complex data."
 
 - github: mahmoudyousef98
   name: Mahmoud Yousef
   avatar: mahmoudyousef98.jpg
   email: mahmoudyousef@uchicago.edu
   linkedin: mahmoud-yousef-314198128/
-  bio: "Computer scientist and medical student interested in exploring the intersection of bioinformatics and medicine, and how bioinformatic techniques can be used to advance the quality of medicine."
+  bio: "I am interested in exploring the intersection of bioinformatics and medicine, and how bioinformatic techniques can be used to advance the quality of medicine."
   affiliations:
-     - title: Medical Student
-       inst: Pritzker School of Medicine, University of Chicago
-       inst_link: https://pritzker.uchicago.edu/
-       current: true
      - title: Undergraduate Student
        inst: Department of Computer Science at the University of Chicago
        inst_link: https://www.cs.uchicago.edu/
@@ -247,17 +189,7 @@
   linkedin: quentin-clayssen-398360139
   twitter: ClayssenQ
   avatar: qclayssen.jpg
-  bio: "Microbiologist and bioinformatician interested in metagenomics."
-  intellectual-contributions:
-    - contribution: "Contributed to the development of the SCG taxonomy framework"
-  affiliations:
-    - title: Graduate Student
-      inst: ETH Zurich
-      inst_link: https://ethz.ch/en.html
-      current: true
-    - title: Intern
-      inst: The Department of Medicine at the University of Chicago
-      inst_link: http://medicine.uchicago.edu/
+  bio: "I am a microbiologist and a bioinformatician in training interested in metagenomics. I currently am focusing on approaches for rapid placement of metagenome-assembled genomes into the tree of life."
 
 - github: srinidhi202
   name: Srinidhi Varadharajan
@@ -267,7 +199,6 @@
     - title: Programmer
       inst: Baylor College of Medicine
       inst_link: https://www.bcm.edu/
-      current: true
 
 - github: adw96
   avatar: adw96.jpg
@@ -277,16 +208,14 @@
   linkedin: none
   twitter: AmyDWillis
   orcid: 0000-0002-2802-4317
-  bio: "Statistician and data scientist developing methods for the analysis of biodiversity, with a particular focus on the microbiome."
+  bio: "My lab and I develop statistical and computational methods for the analysis of biodiversity data, with a particular focus on the microbiome. Like the Meren lab, I'm passionate about reproducible science, meaningful data analysis, ecosystem and host health, outreach and education, and collaborating with scientists who share these values."
   affiliations:
     - title: Principal Investigator
       inst: Statistical Diversity Lab, University of Washington
       inst_link: http://statisticaldiversitylab.com/
-      current: true
     - title: Assistant Professor
       inst: Department of Biostatistics, University of Washington
       inst_link: https://www.biostat.washington.edu/
-      current: true
 
 - github: mooreryan
   avatar: mooreryan.jpeg
@@ -298,23 +227,20 @@
     - title: Graduate Student (Wommack Lab)
       inst: Center for Bioinformatics and Comp Bio, University of Delaware
       inst_link: https://bioinformatics.udel.edu/
-      current: true
 
 - github: efogarty11
   name: Emily Fogarty
   email: efogarty@uchicago.edu
   orcid: 0000-0002-8957-9922
   avatar: efogarty11.jpg
-  bio: "Microbiologist developing computational and wet lab strategies to study horizontal gene transfer in the human gut microbiome."
+  bio: "I am interested in developing computational and wet lab strategies to study horizontal gene transfer in the human gut microbiome."
   affiliations:
     - title: Graduate Student
       inst: Committee on Microbiology at the University of Chicago
       inst_link: https://biomedsciences.uchicago.edu/page/microbiology
-      current: true
 
 - github: AstrobioMike
   name: Mike Lee
-  bio: "Bioinformatician who explores microbial ecology and evolution in a wide range of environments."
   avatar: AstrobioMike.jpg
   email: michael.lee0517@gmail.com
   web: https://astrobiomike.github.io
@@ -324,7 +250,6 @@
     - title: NASA Space Biology Fellow
       inst: NASA Ames Research Center
       inst_link: https://www.nasa.gov/ames
-      current: true
     - title: JCVI Research Fellow
       inst: J. Craig Venter Institute
       inst_link: https://www.jcvi.org/
diff --git a/anvio/data/misc/PEOPLE/AVATARS/AstrobioMike.jpg b/anvio/data/misc/AUTHORS/AVATARS/AstrobioMike.jpg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/AstrobioMike.jpg
rename to anvio/data/misc/AUTHORS/AVATARS/AstrobioMike.jpg
diff --git a/anvio/data/misc/PEOPLE/AVATARS/FlorianTrigodet.jpg b/anvio/data/misc/AUTHORS/AVATARS/FlorianTrigodet.jpg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/FlorianTrigodet.jpg
rename to anvio/data/misc/AUTHORS/AVATARS/FlorianTrigodet.jpg
diff --git a/anvio/data/misc/PEOPLE/AVATARS/Jessica-Pan.png b/anvio/data/misc/AUTHORS/AVATARS/Jessica-Pan.png
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/Jessica-Pan.png
rename to anvio/data/misc/AUTHORS/AVATARS/Jessica-Pan.png
diff --git a/anvio/data/misc/PEOPLE/AVATARS/ShaiberAlon.jpg b/anvio/data/misc/AUTHORS/AVATARS/ShaiberAlon.jpg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/ShaiberAlon.jpg
rename to anvio/data/misc/AUTHORS/AVATARS/ShaiberAlon.jpg
diff --git a/anvio/data/misc/PEOPLE/AVATARS/adw96.jpg b/anvio/data/misc/AUTHORS/AVATARS/adw96.jpg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/adw96.jpg
rename to anvio/data/misc/AUTHORS/AVATARS/adw96.jpg
diff --git a/anvio/data/misc/PEOPLE/AVATARS/efogarty11.jpg b/anvio/data/misc/AUTHORS/AVATARS/efogarty11.jpg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/efogarty11.jpg
rename to anvio/data/misc/AUTHORS/AVATARS/efogarty11.jpg
diff --git a/anvio/data/misc/PEOPLE/AVATARS/ekiefl.jpg b/anvio/data/misc/AUTHORS/AVATARS/ekiefl.jpg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/ekiefl.jpg
rename to anvio/data/misc/AUTHORS/AVATARS/ekiefl.jpg
diff --git a/anvio/data/misc/PEOPLE/AVATARS/isaacfink21.png b/anvio/data/misc/AUTHORS/AVATARS/isaacfink21.png
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/isaacfink21.png
rename to anvio/data/misc/AUTHORS/AVATARS/isaacfink21.png
diff --git a/anvio/data/misc/PEOPLE/AVATARS/ivagljiva.jpg b/anvio/data/misc/AUTHORS/AVATARS/ivagljiva.jpg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/ivagljiva.jpg
rename to anvio/data/misc/AUTHORS/AVATARS/ivagljiva.jpg
diff --git a/anvio/data/misc/PEOPLE/AVATARS/mahmoudyousef98.jpg b/anvio/data/misc/AUTHORS/AVATARS/mahmoudyousef98.jpg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/mahmoudyousef98.jpg
rename to anvio/data/misc/AUTHORS/AVATARS/mahmoudyousef98.jpg
diff --git a/anvio/data/misc/PEOPLE/AVATARS/matthewlawrenceklein.jpg b/anvio/data/misc/AUTHORS/AVATARS/matthewlawrenceklein.jpg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/matthewlawrenceklein.jpg
rename to anvio/data/misc/AUTHORS/AVATARS/matthewlawrenceklein.jpg
diff --git a/anvio/data/misc/PEOPLE/AVATARS/meren.jpg b/anvio/data/misc/AUTHORS/AVATARS/meren.jpg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/meren.jpg
rename to anvio/data/misc/AUTHORS/AVATARS/meren.jpg
diff --git a/anvio/data/misc/PEOPLE/AVATARS/mooreryan.jpeg b/anvio/data/misc/AUTHORS/AVATARS/mooreryan.jpeg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/mooreryan.jpeg
rename to anvio/data/misc/AUTHORS/AVATARS/mooreryan.jpeg
diff --git a/anvio/data/misc/PEOPLE/AVATARS/mschecht.jpg b/anvio/data/misc/AUTHORS/AVATARS/mschecht.jpg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/mschecht.jpg
rename to anvio/data/misc/AUTHORS/AVATARS/mschecht.jpg
diff --git a/anvio/data/misc/PEOPLE/AVATARS/no-avatar.png b/anvio/data/misc/AUTHORS/AVATARS/no-avatar.png
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/no-avatar.png
rename to anvio/data/misc/AUTHORS/AVATARS/no-avatar.png
diff --git a/anvio/data/misc/PEOPLE/AVATARS/ozcan.jpg b/anvio/data/misc/AUTHORS/AVATARS/ozcan.jpg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/ozcan.jpg
rename to anvio/data/misc/AUTHORS/AVATARS/ozcan.jpg
diff --git a/anvio/data/misc/PEOPLE/AVATARS/qclayssen.jpg b/anvio/data/misc/AUTHORS/AVATARS/qclayssen.jpg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/qclayssen.jpg
rename to anvio/data/misc/AUTHORS/AVATARS/qclayssen.jpg
diff --git a/anvio/data/misc/PEOPLE/AVATARS/semiller10.jpg b/anvio/data/misc/AUTHORS/AVATARS/semiller10.jpg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/semiller10.jpg
rename to anvio/data/misc/AUTHORS/AVATARS/semiller10.jpg
diff --git a/anvio/data/misc/PEOPLE/AVATARS/watsonar.jpg b/anvio/data/misc/AUTHORS/AVATARS/watsonar.jpg
similarity index 100%
rename from anvio/data/misc/PEOPLE/AVATARS/watsonar.jpg
rename to anvio/data/misc/AUTHORS/AVATARS/watsonar.jpg
diff --git a/anvio/data/misc/KEGG-SNAPSHOTS.yaml b/anvio/data/misc/KEGG-SNAPSHOTS.yaml
index 1bbee38335..58f0d0562b 100644
--- a/anvio/data/misc/KEGG-SNAPSHOTS.yaml
+++ b/anvio/data/misc/KEGG-SNAPSHOTS.yaml
@@ -25,12 +25,6 @@ v2020-12-23:
     hash: 45b7cc2e4fdc
     modules_db_version: 2
 
-v2021-12-18:
-    url: https://figshare.com/ndownloader/files/31959416
-    archive_name: KEGG_build_2021-12-18_58937b64c44c.tar.gz
-    hash: 58937b64c44c
-    modules_db_version: 3
-
 # How to add a new KEGG snapshot to this file:
 # 1. download the latest data directly from KEGG by running
 #    `anvi-setup-kegg-kofams -D --kegg-data-dir ./KEGG`
diff --git a/anvio/data/misc/PEOPLE/AVATARS/bio-antonio.png b/anvio/data/misc/PEOPLE/AVATARS/bio-antonio.png
deleted file mode 100644
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diff --git a/anvio/data/misc/PEOPLE/CONTRIBUTORS.yaml b/anvio/data/misc/PEOPLE/CONTRIBUTORS.yaml
deleted file mode 100644
index 96c03c8fe2..0000000000
--- a/anvio/data/misc/PEOPLE/CONTRIBUTORS.yaml
+++ /dev/null
@@ -1,112 +0,0 @@
-- github: tdelmont
-  name: Tom O. Delmont
-  email: tom.o.delmont@gmail.com
-  twitter: tomodelmont
-  avatar: bio-tom.jpg
-  bio: "Microbial ecologist who seeks to understand small and large-scale ecological patterns in the microbial world."
-  intellectual-contributions:
-    - contribution: "Initiated and supervised the development of anvi'o tools to reconstruct genomes from metagenomes"
-  affiliations:
-    - title: CNRS
-      inst: Genoscope - Centre National de Séquençage
-      inst_link: https://www.genoscope.cns.fr
-      current: true
-    - title: Post-doctoral Scientist
-      inst: University of Chicago
-      inst_link: https://uchicago.edu
-    - title: Post-doctoral Scientist
-      inst: Marine Biological Laboratory
-      inst_link: https://mbl.edu
-
-- github: genomewalker
-  name: Antonio Fernandez-Guerra
-  email: antonio@metagenomics.eu
-  avatar: bio-antonio.png
-  orcid: 0000-0002-8679-490X
-  web: https://dark.metagenomics.eu
-  bio: "Bioinformatician interested in development and application of new methodologies to analyze modern and ancient (meta)genomic data."
-  affiliations:
-    - title: Assistant Professor
-      inst: Lundbeck Foundation GeoGenetics Centre, The GLOBE Institute, University of Copenhagen
-      inst_link: https://globe.ku.dk/research/geogenetics/
-      current: true
-
-- github: jessika-fuessel
-  name: Jessika Fuessel
-  avatar: bio-jessika.jpg
-  email: ju.fuessel@gmail.com
-  twitter: FuesselJessika
-  orcid: 0000-0002-4210-2318
-  bio: "Biogeochemist and microbiologist intereted in understanding the production and fate of microbial metabolites within the context of changing environmental conditions using a multi-omics."
-  intellectual-contributions:
-    - contribution: "Initiated and supervised the development of anvi'o metabolism framework"
-  affiliations:
-    - title: Post-doctoral Scientist
-      inst: Institute for Chemistry and Biology of the Marine Environment
-      inst_link: https://uol.de/en/icbm
-      current: true
-    - title: Post-doctoral Scientist
-      inst: Department of Medicine, University of Chicago
-      inst_link: https://medicine.uchicago.edu/
-
-- github: ChiaraVanni
-  name: Chiara Vanni
-  avatar: bio-chiara.jpg
-  email: cvanni@mpi-bremen.de
-  orcid: 0000-0002-1124-1147
-  web: https://scholar.google.com/citations?user=0-KzK6MAAAAJ&hl=en
-  twitter: ChiaraVanni5
-  affiliations:
-    - title: Graduate Student
-      inst: Max Planck Institute for Marine Microbiology
-      inst_link: https://mpi-bremen.de
-      current: true
-
-- github: karkman
-  name: Antti Karkman
-  email: antti.karkman@helsinki.fi
-  avatar: bio-antti.png
-  twitter: AnttiKarkman
-  orcid: 0000-0003-0983-3319
-  bio: "Computational microbiologist interested in antibiotic resistance in the environment"
-  affiliations:
-    - title: Postdoctoral researcher
-      inst: University of Helsinki
-      inst_link: https://www.helsinki.fi/en
-      current: true
-
-- github: edgraham
-  name: Elaina Graham
-  avatar: bio-elaina.jpg
-  twitter: perilousUnknown
-  affiliations:
-    - title: Graduate Student
-      inst: University of Southern California
-      inst_link: https://www.usc.edu/
-      current: true
-
-- github: jarrodscott
-  name: Jarrod J. Scott
-  avatar: bio-jarrod_s.jpg
-  email: jarrod.jude.scott@gmail.com
-  web: https://istmobiome.rbind.io/
-  bio: "Microbiologist interested in understandng how bacteria and archaea coalesce into complex communities and how they affect host biology, biogeochemical cycles, and ecosystem-level processes in marine and terrestrial systems."
-  affiliations:
-    - title: Post-doctoral Scientist
-      inst: Smithsonian Tropical Research Institute
-      inst_link: https://stri.si.edu/
-      current: true
-
-- github: dspeth
-  name: Daan R. Speth
-  avatar: bio-daan.jpg
-  twitter: daanspeth
-  email: dspeth@mpi-bremen.de
-  web: https://www.micro-explorer.net
-  orcid: 0000-0002-2361-5935
-  bio: "Microbiologist and bioinformatician interested in understanding the metabolic and phylogenetic diversity of microorganisms through genomics and wet lab analyses"
-  affiliations:
-    - title: Post-Doctoral Scientist
-      inst: Max Planck Institute for Marine Microbiology
-      inst_link: https://mpi-bremen.de
-      current: true
diff --git a/anvio/data/misc/PEOPLE/README.md b/anvio/data/misc/PEOPLE/README.md
deleted file mode 100644
index 078af9dfd5..0000000000
--- a/anvio/data/misc/PEOPLE/README.md
+++ /dev/null
@@ -1,90 +0,0 @@
-The purpose of this directory is to keep track of people who are a
-part of the anvi'o project. If you see someone who is missing,
-please add them into the relevant file.
-
-# How to add a new individual?
-
-If you are adding a new anvi'o developer or contributor into either
-of these YAML files, please send a PR with the relevant changes,
-which include,
-
-* Edit `DEVELOPERS.yaml` **or** `CONTRIBUTORS.yaml` files to add
-a new entry for the new person (please benefit from previous examples).
-* Add a new photo under the the `AVATARS` directory. It should be
-a 900px x 900px head-shot (see previous examples).
-
-Most fields are optional, but please note that every person mentioned
-in either YAML files must have a GitHub username.
-
-## A template to make things easeir
-
-Feel free to use this **template** for new entries:
-
-```
-- github: (github username)
-  name: (full name)
-  twitter: (twitter username)
-  web: (http://your-web-page)
-  avatar: (your-avatar.png that is in the AVATARS directory)
-  email: (email address)
-  linkedin: (linkedin username)
-  orcid: (ORCiD, not the url, just the numbers)
-  bio: "A one-sentence short and descriptive bio -- see examples"
-  affiliations:
-    - title: (your title: Graduate Student / Post-doctoral scientist / Assistant Professor / etc)
-      inst: (name of the institution you are affiliated with)
-      inst_link: (the link to the institution or group page)
-      current: (if this is a 'current' affiliation, put the word true here, if not, remove the line completely)
-```
-
-The purpose of affiliations is to keep track of every anvi'o person
-starting from their first contribution to the platform. You can add
-as many affiliations as you like. Please order them in such a way
-that they are ordered from new to old.
-
-# General things to consider developing this resource further
-
-## Developers vs Contributors
-
-`DEVELOPERS.yaml` contains individuals who has made literal contributions
-to the anvi'o codebase. The information in this file can be used to
-tag people in `__authors__` directives in anvi'o programs under the
-`bin/` and `sandbox/` directories, which then can be used via the
-`anvio/authors.py` module that serves other programs such as
-`anvi-script-gen-help-pages` that generates anvi'o help pages at
-https://anvio.org/help/main
-
-`CONTRIBUTORS.yaml` contains individuals has made indirect contributions
-to the anvi'o community, including writing blog posts or tutorials, or
-pushing the boundaries of the platform with their intellectual
-contributions and guidance.
-
-## Intellectual contributions
-
-We have manually curated 'intellectual contributions' sections for
-individuals listed in both `DEVELOPERS.yaml` and `CONTRIBUTORS.yaml`.
-At any given time, they will be inevitably incomplete. So please help
-expand these entries to keep track of key contributions even for
-those who are no longer around the project. Here are a few right-hand
-rules to add more:
-
-* Keep each contributions statement as concise and accurate as possible.
-HTML notation is supported, but please limit the use of HTML to `a`
-tags to link relevant documentation, PRs, help pages, or articles from
-within the contrib statement.
-
-* Each contributions statement must list a single contribution.
-
-* If someone implemented an entirely new concept, program, workflow,
-document, or framework in anvi'o, use the term 'Spearheaded'. I.e.,
-"Spearheaded the development of anvi'o snakemake workflows". This
-indicates that others may have contributed to it, or may contribute
-in the future.
-
-* If someone made notable contributions anything listed above, use
-the phares "Made significant contributions". I.e., "Made significant
-contributions to anvi'o snakemake workflows". What is notable and
-what is not notable is not clear. Common sense is your best guidance,
-but when you are unsure, discuss a given case with other developers.
-A contribution may be notable only by you, so if you see something,
-say something!
diff --git a/anvio/data/static/template/artifact.tmpl b/anvio/data/static/template/artifact.tmpl
index e53cf80546..1a9968a548 100644
--- a/anvio/data/static/template/artifact.tmpl
+++ b/anvio/data/static/template/artifact.tmpl
@@ -1,7 +1,6 @@
 ---
-layout: artifact
-title: {{ artifact.name }}
-excerpt: A {{ artifact.type }}-type anvi'o artifact. This artifact {% if artifact.provided_by_anvio and not artifact.provided_by_user %}is typically generated, used, and/or exported by anvi'o (and not provided by the user).{% elif not artifact.provided_by_anvio and artifact.provided_by_user %}is typically provided by the user for anvi'o to import into its databases, process, and/or use{% else %}can be generated, used, and/or exported by anvi'o. It can also be provided **by the user** for anvi'o to import into its databases, process, and/or use{% endif %}.
+layout: page
+title: {{ artifact.name }} [artifact]
 categories: [anvio]
 comments: false
 redirect_from: /{{ meta.version_short_identifier }}/{{ artifact.name }}
diff --git a/anvio/data/static/template/pan-index.tmpl b/anvio/data/static/template/pan-index.tmpl
index ac15ec429b..3af0e78556 100644
--- a/anvio/data/static/template/pan-index.tmpl
+++ b/anvio/data/static/template/pan-index.tmpl
@@ -27,19 +27,19 @@
             <div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1">
                 <ul class="nav navbar-nav">
                     <li>
-                        <a href="http://anvio.org">Anvi'o Project Page</a>
+                        <a href="http://merenlab.org/projects/anvio">Anvi'o Project Page</a>
                     </li>
                     <li>
-                        <a href="https://github.com/merenlab/anvio">Anvi'o Repository</a>
+                        <a href="https://github.com/meren/anvio">Anvi'o Repository</a>
                     </li>
                     <li>
-                        <a href="https://github.com/merenlab/anvio/issues">Report an Issue</a>
+                        <a href="https://github.com/meren/anvio/issues">Report an Issue</a>
                     </li>
                     <li>
-                        <a href="http://anvio.org/#people">Contact</a>
+                        <a href="http://merenlab.org/people">Contact</a>
                     </li>
                     <li>
-                        <a href="https://github.com/merenlab/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
+                        <a href="https://github.com/meren/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
                     </li>
                 </ul>
             </div>
diff --git a/anvio/data/static/template/profile-index-mini.tmpl b/anvio/data/static/template/profile-index-mini.tmpl
index c641fd228d..2c8abf32cc 100644
--- a/anvio/data/static/template/profile-index-mini.tmpl
+++ b/anvio/data/static/template/profile-index-mini.tmpl
@@ -27,19 +27,19 @@
             <div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1">
                 <ul class="nav navbar-nav">
                     <li>
-                        <a href="http://anvio.org">Anvi'o Project Page</a>
+                        <a href="http://merenlab.org/projects/anvio">Anvi'o Project Page</a>
                     </li>
                     <li>
-                        <a href="https://github.com/merenlab/anvio">Anvi'o Repository</a>
+                        <a href="https://github.com/meren/anvio">Anvi'o Repository</a>
                     </li>
                     <li>
-                        <a href="https://github.com/merenlab/anvio/issues">Report an Issue</a>
+                        <a href="https://github.com/meren/anvio/issues">Report an Issue</a>
                     </li>
                     <li>
-                        <a href="http://anvio.org/#people">Contact</a>
+                        <a href="http://merenlab.org/people">Contact</a>
                     </li>
                     <li>
-                        <a href="https://github.com/merenlab/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
+                        <a href="https://github.com/meren/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
                     </li>
                 </ul>
             </div>
diff --git a/anvio/data/static/template/profile-index.tmpl b/anvio/data/static/template/profile-index.tmpl
index a39c3ffee5..e9961cc8ac 100644
--- a/anvio/data/static/template/profile-index.tmpl
+++ b/anvio/data/static/template/profile-index.tmpl
@@ -27,19 +27,19 @@
             <div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1">
                 <ul class="nav navbar-nav">
                     <li>
-                        <a href="http://anvio.org">Anvi'o Project Page</a>
+                        <a href="http://merenlab.org/projects/anvio">Anvi'o Project Page</a>
                     </li>
                     <li>
-                        <a href="https://github.com/merenlab/anvio">Anvi'o Repository</a>
+                        <a href="https://github.com/meren/anvio">Anvi'o Repository</a>
                     </li>
                     <li>
-                        <a href="https://github.com/merenlab/anvio/issues">Report an Issue</a>
+                        <a href="https://github.com/meren/anvio/issues">Report an Issue</a>
                     </li>
                     <li>
-                        <a href="http://anvio.org/#people">Contact</a>
+                        <a href="http://merenlab.org/people">Contact</a>
                     </li>
                     <li>
-                        <a href="https://github.com/merenlab/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
+                        <a href="https://github.com/meren/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
                     </li>
                 </ul>
             </div>
diff --git a/anvio/data/static/template/program.tmpl b/anvio/data/static/template/program.tmpl
index 96a462490f..fa072dbe1d 100644
--- a/anvio/data/static/template/program.tmpl
+++ b/anvio/data/static/template/program.tmpl
@@ -1,7 +1,6 @@
 ---
-layout: program
-title: {{ program.name }}
-{% if program.description %}excerpt: An anvi'o program. {{ program.description | striptags | get_first_sentence | slice:250 }}.{% endif %}
+layout: page
+title: {{ program.name }} [program]
 categories: [anvio]
 comments: false
 redirect_from: /{{ meta.version_short_identifier }}/{{ program.name }}
diff --git a/anvio/data/static/template/programs_and_artifacts_index.tmpl b/anvio/data/static/template/programs_and_artifacts_index.tmpl
index 45fa8c0c1d..b49a866c21 100644
--- a/anvio/data/static/template/programs_and_artifacts_index.tmpl
+++ b/anvio/data/static/template/programs_and_artifacts_index.tmpl
@@ -1,5 +1,5 @@
 ---
-layout: help
+layout: page
 title: Help pages for anvi'o programs and artifacts
 categories: [anvio]
 comments: false
@@ -12,9 +12,13 @@ redirect_from:
 
 Here you will find a list of all anvi'o programs and artifacts that enable constructing workflows for integrated multi 'omics investigations.
 
-If you need an introduction to the terminology used in 'omics research or in anvi'o, please take a look at <a href="http://merenlab.org/vocabulary/">our vocabulary page</a>. The anvi'o community is with you! If you have practical, technical, or science questions <a href="http://merenlab.org/2019/10/07/getting-help/">this page</a> to learn about resources available to you. If you are feeling overwhelmed, you can always scream towards the anvi'o {% verbatim %}{% include _slack_invitation_button.html %}{% endverbatim %}
+If you need an introduction to the terminology used in 'omics research or in anvi'o, please take a look at <a href="http://merenlab.org/vocabulary/">our vocabulary page</a>. The anvi'o community is with you! If you have practical, technical, or science questions <a href="http://merenlab.org/2019/10/07/getting-help/">this page</a> to learn about resources available to you. If you are feeling overwhelmed, you can always scream towards the anvi'o Slack channel.
 
-<a href="/network/" target="_blank"><img src="/images/anvio-network.png" width="100%" /></a>
+{% verbatim %}
+{% include _join-anvio-slack.html %}
+{% endverbatim %}
+
+<a href="/software/anvio/network/" target="_blank"><img src="/images/anvio-network.png" width="100%" /></a>
 
 {:.notice}
 The help contents were last updated on **{{ meta|lookup:"date" }}** for anvi'o version **{{ meta|lookup:"version" }}**.
diff --git a/anvio/data/static/template/saavs-index.tmpl b/anvio/data/static/template/saavs-index.tmpl
index ad62867958..0f3bf7add6 100644
--- a/anvio/data/static/template/saavs-index.tmpl
+++ b/anvio/data/static/template/saavs-index.tmpl
@@ -27,19 +27,19 @@
             <div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1">
                 <ul class="nav navbar-nav">
                     <li>
-                        <a href="http://anvio.org">Anvi'o Project Page</a>
+                        <a href="http://merenlab.org/projects/anvio">Anvi'o Project Page</a>
                     </li>
                     <li>
-                        <a href="https://github.com/merenlab/anvio">Anvi'o Repository</a>
+                        <a href="https://github.com/meren/anvio">Anvi'o Repository</a>
                     </li>
                     <li>
-                        <a href="https://github.com/merenlab/anvio/issues">Report an Issue</a>
+                        <a href="https://github.com/meren/anvio/issues">Report an Issue</a>
                     </li>
                     <li>
-                        <a href="http://anvio.org/#people">Contact</a>
+                        <a href="http://merenlab.org/people">Contact</a>
                     </li>
                     <li>
-                        <a href="https://github.com/merenlab/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
+                        <a href="https://github.com/meren/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
                     </li>
                 </ul>
             </div>
diff --git a/anvio/db.py b/anvio/db.py
index aa771ae0dd..cc7421f431 100644
--- a/anvio/db.py
+++ b/anvio/db.py
@@ -157,11 +157,11 @@ def check_if_db_writable(self):
         while(check_counter < check_limit and filesnpaths.is_file_exists(journal_path, dont_raise=True)):
             if check_counter == 0:
                 # print only once
-                self.run.info_single("It seems the database at '%s' currently used by another process "
+                self.run.info_single("It seems the database at '%s' currently used by another proccess "
                               "for writing operations. Anvi'o refuses to work with this database to avoid corrupting it. "
                               "If you think this is a mistake, you may stop this process and delete the lock file at '%s' after making sure "
-                              "no other active process is using it for writing. In case this program is run by an automatic workflow manager like snakemake "
-                              "Anvi'o will periodically check if the journal file still exists for total of %d minutes. If the database is still not writable "
+                              "no other active process using it for writing. In case this program is ran by automatic workflow manager like snakemake "
+                              "Anvi'o will periodically check if the journal file still exists for total of %d minutes. If database is still not writable "
                               "after that time, Anvi'o will stop running. " % (os.path.abspath(self.db_path), os.path.abspath(journal_path), int(check_limit/60)))
 
             time.sleep(check_interval)
diff --git a/anvio/dbops.py b/anvio/dbops.py
index 988e54287c..36b86f74ee 100644
--- a/anvio/dbops.py
+++ b/anvio/dbops.py
@@ -1192,10 +1192,6 @@ def get_sequences_for_gene_callers_ids(self, gene_caller_ids_list=[], output_fil
                 # dict properly so the FASTA file and the external gene calls file correspond to each other
                 gene_call['header'] = '%s_%d' % (gene_call['contig'], gene_callers_id)
                 gene_call['contig'] = gene_call['header']
-
-                if not flank_length:
-                    gene_call['start'] = 0
-                    gene_call['stop'] = gene_call['length']
             else:
                 if simple_headers:
                     gene_call['header'] = '%d' % (gene_callers_id)
@@ -1266,32 +1262,28 @@ def get_sequences_for_gene_callers_ids(self, gene_caller_ids_list=[], output_fil
         return (gene_caller_ids_list, sequences_dict)
 
 
-    def gen_GFF3_file_of_sequences_for_gene_caller_ids(self, gene_caller_ids_list=[], output_file_path=None, wrap=120, simple_headers=False, rna_alphabet=False, gene_annotation_source=None):
+    def gen_GFF3_file_of_sequences_for_gene_caller_ids(self, gene_caller_ids_list=[], output_file_path=None, wrap=120, simple_headers=False, rna_alphabet=False):
         gene_caller_ids_list, sequences_dict = self.get_sequences_for_gene_callers_ids(gene_caller_ids_list)
 
         name_template = '' if simple_headers else ';Name={contig} {start} {stop} {direction} {rev_compd} {length}'
 
-        # let's see the situation with functions
-        if gene_annotation_source and not self.a_meta['gene_function_sources']:
-            raise ConfigError("The code came all the way here with a `gene_annotation_source` but without the proper contigs db configuration o_O "
-                              "Anvi'o needs an adult :(")
-
-        if not gene_annotation_source and self.a_meta['gene_function_sources']:
-            self.run.warning(f"You didn't ask for functions to be included in your GFF output file, but anvi'o found "
-                             f"in your contigs database all these in case you would like to include one of them via "
-                             f"the parameter `--annotation-source`: {', '.join(self.a_meta['gene_function_sources'])}",
-                             header="THE MORE YOU KNOW 🌈", lc='yellow')
-
-        gene_functions_found = False 
-        if gene_annotation_source and self.a_meta['gene_function_sources']:
-            if gene_annotation_source in self.a_meta['gene_function_sources']:
-                self.init_functions(requested_sources=[gene_annotation_source])
-                gene_functions_found = True
-                self.run.warning(f"Anvi'o found gene function annotations by '{gene_annotation_source}' in your contigs database "
-                                 f"and will include that information in the output GFF file.", header="FUNCTIONS FOUND 🎊", lc="green")
-            else:
-                raise ConfigError(f"The function annotation source you have requested ('{gene_annotation_source}') does not "
-                                  f"seem to be in this contigs database :/ Here is what we have: {', '.join(self.a_meta['gene_function_sources'])}")
+        # let's see if there are functions
+        gene_functions_found = False
+        if self.a_meta['gene_function_sources'] and 'COG20_FUNCTION' in self.a_meta['gene_function_sources']:
+            self.init_functions(requested_sources=["COG20_FUNCTION"])
+            gene_functions_found = True
+            self.run.warning("Anvi'o found gene function annotations by `COG20_FUNCTION` in your contigs database "
+                             "and will include that information in the output GFF file (anvi'o also admits that "
+                             "it is looking for `COG20_FUNCTION` instead of an annotation source of your choice due to "
+                             "the laziness of its developers. If you would like to be able to choose a different "
+                             "annotation source, please let the developers know and they will parameterize this option).",
+                             header="FUNCTIONS FOUND 🎊", lc="green")
+        else:
+            self.run.warning("Just so you know: anvi'o wanted to include functions for your genes into the GFF file "
+                             "but your contigs database does not seem to include annotations from `COG20_FUNCTION`. "
+                             "You can ignore this message if you don't care. But if you would like your GFF file to "
+                             "include functions for your genes, you can run `anvi-run-ncbi-cogs` on your contigs db "
+                             "and re-run this command to have an output file with functions :)")
 
         self.progress.new('Storing sequences')
         self.progress.update('...')
@@ -1301,22 +1293,15 @@ def gen_GFF3_file_of_sequences_for_gene_caller_ids(self, gene_caller_ids_list=[]
                 entry = sequences_dict[gene_callers_id]
                 strand = entry['direction'].replace('f','+').replace('r','-')
 
-                if entry['source'] == 'Transfer_RNAs':
-                    seq_type = "tRNA"
-                elif entry['source'].startswith('Ribosomal_RNA'):
-                    seq_type = "rRNA"
-                else:
-                    seq_type = "CDS"
-
                 entry_id = '___'.join([self.a_meta['project_name_str'], str(gene_callers_id)])
                 attributes = f"ID={entry_id}"
                 if gene_functions_found:
                     if gene_callers_id in self.gene_function_calls_dict:
-                        accession, function, evalue = self.gene_function_calls_dict[gene_callers_id][gene_annotation_source]
+                        accession, function, evalue = self.gene_function_calls_dict[gene_callers_id]['COG20_FUNCTION']
                         accession, function = accession.split('!!!')[0], function.split('!!!')[0]
-                        attributes += f";Name={accession};db_xref={gene_annotation_source}:{accession};product={function}"
+                        attributes += f";Name={accession};db_xref=COG20:{accession};product={function}"
 
-                output.write(f"{entry['contig']}\t.\t{seq_type}\t{entry['start'] + 1}\t{entry['stop']}\t.\t{strand}\t.\t{attributes}")
+                output.write(f"{entry['contig']}\t.\tCDS\t{entry['start'] + 1}\t{entry['stop']}\t.\t{strand}\t.\t{attributes}")
                 output.write(name_template.format(entry))
                 output.write('\n')
 
@@ -1632,32 +1617,30 @@ def homogeneity_worker(input_queue, output_queue, gene_clusters_dict, homogeneit
 
         while True:
             gene_cluster_name = input_queue.get(True)
-
             funct_index = {}
             geo_index = {}
-
-            gene_cluster = {gene_cluster_name: gene_clusters_dict[gene_cluster_name]}
-            indices_dict = {'gene cluster': gene_cluster_name}
+            indices_dict = {}
+            gene_cluster = {}
+            gene_cluster[gene_cluster_name] = gene_clusters_dict[gene_cluster_name]
 
             try:
                 funct_index, geo_index, combined_index = homogeneity_calculator.get_homogeneity_dicts(gene_cluster)
-
-                indices_dict['functional'] = funct_index[gene_cluster_name]
-                indices_dict['geometric'] = geo_index[gene_cluster_name]
-                indices_dict['combined'] = combined_index[gene_cluster_name]
             except:
-                progress.reset()
-                run.warning(f"Homogeneity indices computation for gene cluster '{gene_cluster_name}' failed. This can happen due to one of "
-                            f"three reasons: (1) this gene cluster is named incorrectly, does not exist in the database, or is formatted "
-                            f"into the input dictionary incorrectly, (2) there is an alignment mistake in the gene cluster, and not all "
-                            f" genes are alignedto be the same lenght; or (3) the homogeneity calculator was initialized incorrectly. As "
-                            f"you can see, this is a rare circumstance, and anvi'o will set this gene cluster's homogeneity indices to "
-                            f"`-1` so things can move on, but we highly recommend you to take a look at your data to make sure you are "
-                            f"satisfied with your analysis.", overwrite_verbose=True)
-
-                indices_dict['functional'] = -1
-                indices_dict['geometric'] = -1
-                indices_dict['combined'] = -1
+                run.warning("Homogeneity indices computation for gene cluster %s failed. This can happen due to one of three reasons: "
+                            "(1) this gene cluster is named incorrectly, does not exist in the database, or is formatted into the input "
+                            "dictionary incorrectly, (2) there is an alignment mistake in the gene cluster, and not all genes are aligned "
+                            "to be the same lenght; or (3) the homogeneity calculator was initialized incorrectly. As you can see, this "
+                            "is a rare circumstance, and anvi'o will set this gene cluster's homogeneity indices to `-1` so things can "
+                            "move on, but we highly recommend you to take a look at your data to make sure you are satisfied with your "
+                            "analysis." % gene_cluster_name)
+                funct_index[gene_cluster_name] = -1
+                geo_index[gene_cluster_name] = -1
+                combined_index[gene_cluster_name] = -1
+
+            indices_dict['gene cluster'] = gene_cluster_name
+            indices_dict['functional'] = funct_index[gene_cluster_name]
+            indices_dict['geometric'] = geo_index[gene_cluster_name]
+            indices_dict['combined'] = combined_index[gene_cluster_name]
 
             output_queue.put(indices_dict)
 
@@ -2811,20 +2794,7 @@ def __init__(self, args, r=run, p=progress):
             # if self.split_names_of_interest is defined upstream somewhere,
             # but if we ALSO have a collection name here, we want to recover those
             # split names relevant to the collection name later. so in this case,
-            # we will OVERWRITE this variable, which is kind of dangerous. IF this is
-            # causing you headache and sets your split names of interest to null, the
-            # best way to avoid this is to set the collection_name in your args to None,
-            # initialize the ProfileSuper, and then set it back to its original value
-            # after (which has been the case in the refine mode in anvio/interactive.py).
-            if hasattr(self, 'split_names_of_interest'):
-                self.run.warning("Note for programmers: even though the ProfileSuper was initialized with "
-                                 "`self.split_names_of_interest`, the contents of that variable just got "
-                                 "set to `set([])` becasue the context also had `self.collection_name` in "
-                                 "it. If you are concerned about this, read the comments in the code where "
-                                 "this warning is shown. If you are a user, there probably is nothing for "
-                                 "you to be concerned about (unless things go haywire downstream, in which "
-                                 "case our sincere condolences).")
-
+            # we will OVERWRITE this variable, which is kind of dangerous.
             self.split_names_of_interest = set([])
 
         if A('split_names_of_interest'):
@@ -2895,7 +2865,6 @@ def __init__(self, args, r=run, p=progress):
         self.progress.update('Setting profile self data dict')
         self.p_meta = profile_db.meta
 
-        self.p_meta['db_variant'] = str(utils.get_db_variant(self.profile_db_path))
         self.p_meta['creation_date'] = utils.get_time_to_date(self.p_meta['creation_date']) if 'creation_date' in self.p_meta else 'unknown'
         self.p_meta['samples'] = sorted([s.strip() for s in self.p_meta['samples'].split(',')])
         self.p_meta['num_samples'] = len(self.p_meta['samples'])
@@ -2953,8 +2922,7 @@ def __init__(self, args, r=run, p=progress):
         else:
             self.auxiliary_profile_data_available = True
             self.split_coverage_values = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.auxiliary_data_path,
-                                                                                         self.p_meta['contigs_db_hash'],
-                                                                                         db_variant=self.p_meta['db_variant'])
+                                                                                         self.p_meta['contigs_db_hash'])
 
         if self.collection_name and self.bin_names and len(self.bin_names) == 1 and not skip_consider_gene_dbs:
             self.progress.update('Accessing the genes database')
@@ -3618,14 +3586,6 @@ def load_views(self, split_names_of_interest=None, omit_parent_column=False):
 
         views_table = profile_db.db.get_table_as_dict(t.views_table_name)
 
-        # if SNVs are not profiled, we should not have a view for `variability`. See the issue #1845.
-        # FIXME for future generations: if SNVs are skipped, we should even have an entry in the views
-        # table for `variability` :/ but fixing that would require a migration script for profile dbs,
-        # and the person who is implementing this workaround is simply being lazy --do better, and
-        # address this the right way:
-        if not self.p_meta['SNVs_profiled']:
-            views_table.pop('variability')
-
         self.progress.new('Loading views%s' % (' for %d items' % len(split_names_of_interest) if split_names_of_interest else ''))
         for view in views_table:
             self.progress.update('for %s' % view)
@@ -3687,20 +3647,15 @@ def init(self):
 
         self.meta = dbi(self.db_path, expecting=self.db_type).get_self_table()
 
-        for key in ['min_contig_length', 'SNVs_profiled', 'SCVs_profiled', 'INDELs_profiled',
+        for key in ['min_contig_length', 'SNVs_profiled', 'SCVs_profiled', 'min_coverage_for_variability',
                     'merged', 'blank', 'items_ordered', 'report_variability_full', 'num_contigs',
-                    'min_coverage_for_variability', 'max_contig_length', 'num_splits', 'total_length']:
+                    'num_splits', 'total_length']:
             try:
                 self.meta[key] = int(self.meta[key])
             except:
                 pass
 
         self.samples = set([s.strip() for s in self.meta['samples'].split(',')])
-        for key in ['min_percent_identity', 'min_indel_fraction']:
-            try:
-                self.meta[key] = float(self.meta[key])
-            except:
-                pass
 
 
         # open the database
@@ -4007,7 +3962,7 @@ def get_hash(self):
         return 'hash' + str('%08x' % random.randrange(16**8))
 
 
-    def touch(self, db_variant='unknown'):
+    def touch(self):
         """Creates an empty contigs database on disk, and sets `self.db` to access to it.
 
         At some point self.db.disconnect() must be called to complete the creation of the new db."""
@@ -4040,9 +3995,6 @@ def touch(self, db_variant='unknown'):
         self.db.create_table(t.nucleotide_additional_data_table_name, t.nucleotide_additional_data_table_structure, t.nucleotide_additional_data_table_types)
         self.db.create_table(t.amino_acid_additional_data_table_name, t.amino_acid_additional_data_table_structure, t.amino_acid_additional_data_table_types)
 
-        if db_variant == 'trnaseq':
-            self.db.create_table(t.trna_seed_feature_table_name, t.trna_seed_feature_table_structure, t.trna_seed_feature_table_types)
-
         return self.db
 
 
@@ -4301,7 +4253,7 @@ def create(self, args):
             skip_mindful_splitting = True
 
         # create a blank contigs database on disk, and set the self.db
-        self.touch(db_variant)
+        self.touch()
 
         # know thyself
         self.db.set_meta_value('db_type', 'contigs')
@@ -5066,15 +5018,12 @@ def get_default_item_order_name(default_item_order_requested, item_orders_dict,
     matching_item_order_names = [item_order for item_order in item_orders_dict if item_order.lower().split(':')[0] == default_item_order_requested.lower()]
 
     if not len(matching_item_order_names):
-        if 'mean_coverage:euclidean:ward' in item_orders_dict:
-            default_item_order = 'mean_coverage:euclidean:ward'
-        else:
-            default_item_order = list(item_orders_dict.keys())[0]
-            run.warning('`get_default_item_order_name` function is concerned, because nothing in the item_orders '
-                        'dict matched to the desired order class "%s". So the order literally set to "%s" '
-                        '(a class of "%s") randomly as the default order. Good luck :/' % (default_item_order_requested,
-                                                                                     default_item_order,
-                                                                                     default_item_order.split(':')[0]))
+        default_item_order = list(item_orders_dict.keys())[0]
+        run.warning('`get_default_item_order_name` function is concerned, because nothing in the item_orders '
+                    'dict matched to the desired order class "%s". So the order literally set to "%s" '
+                    '(a class of "%s") randomly as the default order. Good luck :/' % (default_item_order_requested,
+                                                                                 default_item_order,
+                                                                                 default_item_order.split(':')[0]))
         return default_item_order
     elif len(matching_item_order_names) == 1:
         return matching_item_order_names[0]
diff --git a/anvio/docs/__init__.py b/anvio/docs/__init__.py
index d5bfa05ed9..e9f70e0c01 100644
--- a/anvio/docs/__init__.py
+++ b/anvio/docs/__init__.py
@@ -22,18 +22,6 @@
         "provided_by_anvio": True,
         "provided_by_user": False
     },
-    "trnaseq-contigs-db": {
-        "name": "TRNASEQ CONTIGS",
-        "type": "DB",
-        "provided_by_anvio": True,
-        "provided_by_user": False
-    },
-    "trnaseq-profile-db": {
-        "name": "TRNASEQ PROFILE",
-        "type": "DB",
-        "provided_by_anvio": True,
-        "provided_by_user": False
-    },
     "modules-db": {
         "name": "MODULES",
         "type": "DB",
@@ -52,12 +40,6 @@
         "provided_by_anvio": True,
         "provided_by_user": True
     },
-    "dna-sequence": {
-        "name": "DNA SEQUENCE",
-        "type": "SEQUENCE",
-        "provided_by_anvio": True,
-        "provided_by_user": True
-    },
     "trnaseq-fasta": {
         "name": "TRNASEQ",
         "type": "FASTA",
@@ -76,12 +58,6 @@
         "provided_by_anvio": False,
         "provided_by_user": True
     },
-    "external-structures": {
-        "name": "EXTERNAL STRUCTURES",
-        "type": "TXT",
-        "provided_by_anvio": False,
-        "provided_by_user": True
-    },
     "concatenated-gene-alignment-fasta": {
         "name": "CONCATENATED GENE ALIGNMENT",
         "type": "FASTA",
@@ -112,12 +88,6 @@
         "provided_by_anvio": True,
         "provided_by_user": False
     },
-    "markdown-txt": {
-        "name": "MARKDOWN TXT",
-        "type": "TXT",
-        "provided_by_anvio": True,
-        "provided_by_user": False
-    },
     "protein-structure-txt": {
         "name": "PDB FILE",
         "type": "TXT",
@@ -130,24 +100,12 @@
         "provided_by_anvio": False,
         "provided_by_user":True
     },
-    "primers-txt": {
-        "name": "PRIMERS TXT",
-        "type": "TXT",
-        "provided_by_anvio": False,
-        "provided_by_user":True
-    },
     "fasta-txt": {
         "name": "FASTA TXT",
         "type": "TXT",
         "provided_by_anvio": False,
         "provided_by_user":True
     },
-    "enzymes-txt": {
-        "name": "ENZYMES TXT",
-        "type": "TXT",
-        "provided_by_anvio": False,
-        "provided_by_user":True
-    },
     "raw-bam-file": {
         "name": "RAW BAM FILE",
         "type": "BAM",
@@ -173,17 +131,11 @@
         "provided_by_user": False
     },
     "kegg-data": {
-        "name": "KEGG MODULES DB",
+        "name": "KEGG DB",
         "type": "DB",
         "provided_by_anvio": True,
         "provided_by_user": False
     },
-    "user-modules-data": {
-        "name": "USER MODULES DB",
-        "type": "DB",
-        "provided_by_anvio": True,
-        "provided_by_user": True
-    },
     "single-profile-db": {
         "name": "SINGLE PROFILE",
         "type": "DB",
@@ -370,18 +322,6 @@
         "provided_by_anvio": False,
         "provided_by_user": True
     },
-    "palindromes-txt": {
-        "name": "PALINDROMES",
-        "type": "TXT",
-        "provided_by_anvio": True,
-        "provided_by_user": False
-    },
-    "inversions": {
-        "name": "INVERSIONS",
-        "type": "CONCEPT",
-        "provided_by_anvio": True,
-        "provided_by_user": False
-    },
     "phylogeny": {
         "name": "PHYLOGENY",
         "type": "NEWICK",
@@ -568,36 +508,6 @@
         "provided_by_anvio": True,
         "provided_by_user": False
     },
-    "trnaseq-seed-txt": {
-        "name": "TRNASEQ SEED SUMMARY",
-        "type": "TXT",
-        "provided_by_anvio": True,
-        "provided_by_user": False
-    },
-    "seeds-specific-txt": {
-        "name": "TRNASEQ SEED SUMMARY",
-        "type": "TXT",
-        "provided_by_anvio": True,
-        "provided_by_user": False
-    },
-    "seeds-non-specific-txt": {
-        "name": "TRNASEQ SEED SUMMARY",
-        "type": "TXT",
-        "provided_by_anvio": True,
-        "provided_by_user": False
-    },
-    "modifications-txt": {
-        "name": "TRNASEQ MODIFICATION SUMMARY",
-        "type": "TXT",
-        "provided_by_anvio": True,
-        "provided_by_user": False
-    },
-    "trnaseq-plot": {
-        "name": "TRNASEQ PLOT",
-        "type": "DISPLAY",
-        "provided_by_anvio": True,
-        "provided_by_user": False
-    },
     "summary": {
         "name": "STATIC SUMMARY",
         "type": "SUMMARY",
@@ -640,12 +550,6 @@
         "provided_by_anvio": True,
         "provided_by_user": False
     },
-    "user-metabolism": {
-        "name": "USER METABOLISM ESTIMATES",
-        "type": "TXT",
-        "provided_by_anvio": True,
-        "provided_by_user": False
-    },
     "augustus-gene-calls": {
         "name": "AUGUSTUS GENE CALLS",
         "type": "TXT",
diff --git a/anvio/docs/artifacts/bin.md b/anvio/docs/artifacts/bin.md
index 14c7976ab4..bc5cba50de 100644
--- a/anvio/docs/artifacts/bin.md
+++ b/anvio/docs/artifacts/bin.md
@@ -1,7 +1,22 @@
-In its simplest form, **a group of items** that are put together. Think of a literal bin in which you put data. One or more bins in anvi'o form a %(collection)s.
+A bin is, in its simplest form, **a group of contigs**.  (Think of a literal bin that you're putting data into.)
 
-In anvi'o, a bin may reprsent one or more contigs, or gene clusters, or any item that can be shown in the interactive interface and stored in a %(profile-db)s, %(pan-db)s, or %(genes-db)s.
+In Anvi'o, you'll most commonly work with bins both in this form and in the form of %(internal-genomes)s, espeically when you want to work with bins contained in more than one %(profile-db)s. A group of bins is called a %(collection)s.
 
-Bin names become handy to specifically target a group of items to investigate via programs such as %(anvi-refine)s or %(anvi-split)s, specify a group of contigs in files such as %(internal-genomes)s, or find them in output files anvi'o generates via programs such as %(anvi-summarize)s or %(anvi-estimate-genome-completeness)s.
+## What can you use bins for?
 
-Since they are a part of the umbrella concept %(collection)s, information about bins are stored in various anvi'o databases, each of which can be used with the program %(anvi-show-collections-and-bins)s to see the bin content.
+### Bins are all over 'omics
+In general, you can also use bins and %(collection)ss to limit what you are analyzing downstream. A ton of anvi'o programs are able to take in a bin or a collection (a group of bins) so that you don't have to analyze your entire %(contigs-db)s when you just want to look at one section. This is true of many, many anvi'o analyses you can run, from %(anvi-estimate-metabolism)s to %(anvi-get-sequences-for-hmm-hits)s.
+
+Below are some more specific examples of binning in action!
+
+### Metagenomic binning
+A common use of binning is in **metagenomics**. See [this tutorial](http://merenlab.org/2016/06/22/anvio-tutorial-v2/) for details, but essentially, the data you're working with in metagenomics is a sample of all of the genetic material in an environmental sample. It's like pulling a bunch of random DNA fragments out of a bucket of ocean water. If you want to try to rebuild the individual genomes from that mess, one common strategy is to piece together genomes de novo by trying to group the contigs together. This is called genome-resolved metagenomic binning.
+
+Basically, in metagenomic binning, you're trying to group together a bunch of contigs that all belong to the same genome using various metrics like tetranucleotide frequency, differential coverage, completion, etc. You can do this either using various algorithms (for instance, those used by %(anvi-cluster-contigs)s) or manually through the interactive interface (%(anvi-interactive)s). In this type of binning, a lot of your bins will be complete metagenome-assembled genomes, or MAGs; however, if you find an interesting group of contigs (for example, a prophage or a plasmid or even a particular domain), you can also put that into a bin. Then, you can group these bins in different ways using %(collection)ss.
+
+For more information, you might want to watch [this lovely lecture on genome-resolved metagenomics](https://www.youtube.com/watch?v=RjNdHGK4ruo).
+
+### Pangenomic Workflows
+You can also use bins to group together gene clusters. This is useful if you want a specific group of contigs to remain together through your entire analysis. Just provide your %(internal-genomes)s file to %(anvi-gen-genomes-storage)s.
+
+Wow, this binning thing seems BINcredible! (not sorry)
diff --git a/anvio/docs/artifacts/collection-txt.md b/anvio/docs/artifacts/collection-txt.md
index 96fabb01d4..f3ba00f6f2 100644
--- a/anvio/docs/artifacts/collection-txt.md
+++ b/anvio/docs/artifacts/collection-txt.md
@@ -1,6 +1,4 @@
-A two-column TAB-delimited file **without a header** that describes a %(collection)s by associating items with %(bin)s names.
-
-It can be used to import or export collections in and out of anvi'o databases, and/or transferring them between anvi'o projects seamlessly.
+This is a two-column TAB-delimited file without a header that describes a %(collection)s by associating items with bin names. It can be used to import or export collections in and out of anvi'o databases, and/or transferring them between anvi'o projects. 
 
 The first column in the file lists item names and the second column associates a given item with a bin. 
 
@@ -18,14 +16,14 @@ item_06    bin_3
 In addition to the essential file above, you can associate an optional TAB-delmited file with three columns with a collection to provide information about 'bins' in it, such as their source, and/or color to be used when they are displayed in %(summary)s outputs or anvi'o %(interactive)s interfaces. Here is an example:
 
 ```
-bin_1	CONCOCT	 #c9d433
-bin_2	CONCOCT	 #e86548
-bin_3	anvi-refine	 #0b8500
+bin_1	N/A	 #c9d433
+bin_2	N/A	 #e86548
+bin_3	N/A	 #0b8500
 ```
 
-In this file format, the first column is a bin name, the second column is a source, and the third column is an HTML color.
+In this file format the first column is a bin name, the second column is a source, and the third column is an HTML color.
 
 {:.notice}
 The source is a free form text and can be anything. We often use `anvi-interactive` or `CONCOCT` or `anvi-refine` for our bins to track which ones were manually refined, and which ones were coming from an automated binning algorithm.
 
-You can provide this optional file to the program %(anvi-import-collection)s with the parameter `--bins-info`.
+You can provide this optional file to the program %(anvi-import-collection)s with the parameter `--bins-info`.
\ No newline at end of file
diff --git a/anvio/docs/artifacts/collection.md b/anvio/docs/artifacts/collection.md
index ed96953252..1f802aeca1 100644
--- a/anvio/docs/artifacts/collection.md
+++ b/anvio/docs/artifacts/collection.md
@@ -1,7 +1,12 @@
-An anvi'o concept that describes one or more %(bin)ss.
+Essentially, a collection **is a group of %(bin)ss**.
 
-You can generate and store a collection by selecting items on any anvi'o %(interactive)s interface or by importing them via %(anvi-import-collection)s into any anvi'o database that can store collections using the file format %(collection-txt)s.
+You can use collections to represent all kinds of things. The default collection (that you'll get by running %(anvi-script-add-default-collection)s) is called DEFAULT and contains all of your contigs. However, you can put any group of bins into their own collection, and use that to limit what you're analyzing downstream. A ton of anvi'o programs are able to take in a bin or a collection so that you don't have to analyze your entire contigs-db when you just want to look at one section. 
 
-You can always use the program %(anvi-show-collections-and-bins)s to list all collections and bins stored in a given anvi'o database.
+To look at the collections contained within an Anvi'o database, just run %(anvi-show-collections-and-bins)s. Or, to look at the completion estimates for all bins within a collection, use %(anvi-estimate-genome-completeness)s.
+
+To view the content within a collection, use %(anvi-summarize)s.
+
+### Examples of collections in action
+
+If your bins represent MAGs, you could use a collection to group related MAGs together. For example, you could group together genomes from the same population, or from the same taxonomic order. Or your could go even wider and have a collection for all of the Archaea genomes in your sample. You're not limited by taxonomy either. You could go wild and have a collection for all of your bins that you suspect are prophages. 
 
-Collections are used in many ways in anvi'o depending on your workflow as you can see from the number of programs that require or can make use of the concept %(collection)s.
diff --git a/anvio/docs/artifacts/contigs-db.md b/anvio/docs/artifacts/contigs-db.md
index 9aaa04a447..df3ad1594a 100644
--- a/anvio/docs/artifacts/contigs-db.md
+++ b/anvio/docs/artifacts/contigs-db.md
@@ -2,7 +2,7 @@ A contigs database is an anvi'o database that **contains key information associa
 
 In a way, **an anvi'o contigs database is a modern, more talented form of a FASTA file**, where you can store additional information about your sequences in it and others can query and use it. Information storage and access is primarily done by anvi'o programs, however, it can also be done through the command line interface or programmatically.
 
-The information a contigs database contains about its sequences can include the positions of open reading frames, tetra-nucleotide frequencies, functional and taxonomic annotations, information on individual nucleotide or amino acid positions, and more.
+The information a contigs database contains about its sequences include the positions of open reading frames, tetra-nucleotide frequencies, functional and taxonomic annotations, information on individual nucleotide or amino acid positions, and more.
 
 ### Another (less computation-heavy) way of thinking about it
 
@@ -34,44 +34,3 @@ Other programs you can run to populate a contigs database with functions include
 Other essential programs that read from a contigs database and yield key information include %(anvi-estimate-genome-completeness)s, %(anvi-get-sequences-for-hmm-hits)s, and %(anvi-estimate-scg-taxonomy)s.
 
 If you wish to run programs like %(anvi-cluster-contigs)s, %(anvi-estimate-metabolism)s, and %(anvi-gen-gene-level-stats-databases)s, or view your database with %(anvi-interactive)s, you'll need to first use your contigs database to create a %(profile-db)s.
-
-## Variants
-
-Contigs databases, like %(profile-db)ss, are allowed have different variants, though the only currently implemented variant, the %(trnaseq-contigs-db)s, is for tRNA transcripts from tRNA-seq experiments. The default variant stored for "standard" contigs databases is `unknown`. Variants should indicate that substantially different information is stored in the database. For instance, open reading frames are applicable to protein-coding genes but not tRNA transcripts, so ORF data is not recorded for the `trnaseq` variant. The $(trnaseq-workflow)s generates %(trnaseq-contigs-db)ss using a very different approach to %(anvi-gen-contigs-database)s.
-
-## For programmers
-
-Tips and use cases for programmers. Send us your questions so we can extend this section with useful examples.
-
-### Get number of approximate number of genomes
-
-You can get the number of genomes once %(anvi-run-hmms)s is run on an contigs database. Here are some examples:
-
-``` python
-from anvio.hmmops import NumGenomesEstimator
-
-# the raw data, where each key is one of the HMM collections
-# of type `singlecopy` run on the contigs-db
-NumGenomesEstimator('CONTIGS.db').estimates_dict
->>> {'Bacteria_71': {'num_genomes': 9, 'domain': 'bacteria'},
-     'Archaea_76': {'num_genomes': 1, 'domain': 'archaea'},
-     'Protista_83': {'num_genomes': 1, 'domain': 'eukarya'}}
-
-# slightly fancier output with a single integer for
-# estimated number of genomes summarized, along with
-# domains used
-num_genomes, domains_included = NumGenomesEstimator('CONTIGS.db').num_genomes()
-print(num_genomes)
->>> 11
-
-print(domains_included)
->>> ['bacteria', 'archaea', 'eukarya']
-
-# limiting the domains
-num_genomes, domains_included = NumGenomesEstimator('CONTIGS.db').num_genomes(for_domains=['archaea', 'eukarya'])
-print(num_genomes)
->>> 2
-
-print(domains_included)
->>> ['archaea', 'eukarya']
-```
diff --git a/anvio/docs/artifacts/dna-sequence.md b/anvio/docs/artifacts/dna-sequence.md
deleted file mode 100644
index 4de426a420..0000000000
--- a/anvio/docs/artifacts/dna-sequence.md
+++ /dev/null
@@ -1,3 +0,0 @@
-A single sequence in DNA alphabet that is **not** stored in or provided by a standard file, such as a %(fasta)s file.
-
-A typical sequence artifact in the anvi'o ecosystem will be provided by the user to a sequence accepting program through the command line, or will be printed out into the terminal environment by a program that provides it.
diff --git a/anvio/docs/artifacts/enzymes-txt.md b/anvio/docs/artifacts/enzymes-txt.md
deleted file mode 100644
index 4575730bae..0000000000
--- a/anvio/docs/artifacts/enzymes-txt.md
+++ /dev/null
@@ -1,43 +0,0 @@
-This artifact is a TAB-delimited file that describes a set of enzymes.
-
-The user can generate this file to define an arbitrary set of enzymes that they want to estimate metabolism on, using the program %(anvi-estimate-metabolism)s.
-
-
-## Minimal file format
-
-Each row (besides the header) in this file represents one enzyme in the set. At minimum, the file must contain three columns:
-- a `gene_id` column containing a _unique_ value to identify a gene for the enzyme. The value can be either a string (like a gene name) or an integer (like a gene callers id), but it has to be unique because sometimes multiple genes can have the same enzyme annotation.
-- an `enzyme_accession` column containing the accession of the enzyme, such as a KEGG Ortholog accession for KOfams, a COG accession for NCBI COGs, a Pfam, etc
-- a `source` column containing the name of the database that would be used to annotate the enzyme. For example, "KOfam", "COG20_FUNCTION", "Pfam", etc.
-
-{: .notice}
-Ideally, all annotation sources in this column would match to those used to define the metabolic pathways you are estimating completeness for (whether those are [KEGG Modules](https://www.genome.jp/kegg/module.html) or user-defined modules as in %(user-modules-data)s, but in practice, we don't currently check for this. If you include some enzymes that are not part of any metabolic modules, they simply will not contribute to the completeness scores of any pathways, and you would therefore only see them in "hits" mode output files.
-So the `source` column is (at this time) mostly for you to make sure you know which database these enzymes are coming from and that at least some (hopefully most) will actually be part of the metabolic pathways you are interested, because otherwise the results from %(anvi-estimate-metabolism)s might not make much sense. However, you do have complete freedom to define the 'source' value arbitrarily, if you want. But please keep in mind that this may change in the very near future - one day these `source` values might actually matter for the functioning of %(anvi-estimate-metabolism)s (in which case this documentation will be updated to reflect that). So it is best to get used to setting them properly. :)
-
-## Minimal file example
-
-Here is an example file with the minimum set of columns:
-
-|**gene_id**|**enzyme_accession**|**source**|
-|:--|:--|:--|
-|aad:TC41_3038|K02886|KOfam|
-|aca:ACP_1744|K02626|KOfam|
-|aco:Amico_1604|K00606|KOfam|
-|ade:Adeh_0623|K02669|KOfam|
-
-## Adding gene coverage and detection values
-
-If you want downstream programs like %(anvi-estimate-metabolism)s to have access to the coverage and detection data for each enzyme (well, technically, its gene), then you can add two additional columns to this file:
-- the  `coverage` column should contain the numerical coverage value for the gene encoding the enzyme
-- the `detection` column should contain the numerical detection value for the gene encoding the enzyme
-
-If these columns are included, you can use the `--add-coverage` flag with %(anvi-estimate-metabolism)s so that this data is included in the output for each metabolic pathway and/or enzyme. However, you do need to include _both_ of the columns - that program does not currently support adding just coverage or just detection.
-
-## Example with coverage and detection
-
-|**gene_id**|**enzyme_accession**|**source**|**coverage**|**detection**|
-|:--|:--|:--|:--|:--|
-|aad:TC41_3038|K02886|KOfam|4.44|0.7862318840579711|
-|aca:ACP_1744|K02626|KOfam|4.522875816993464|0.7790055248618785|
-|aco:Amico_1604|K00606|KOfam|2.63953488372093|0.8063380281690141|
-|ade:Adeh_0623|K02669|KOfam|2.011764705882353|0.6639344262295082|
diff --git a/anvio/docs/artifacts/external-genomes.md b/anvio/docs/artifacts/external-genomes.md
index 12affeadce..ab7ccffd03 100644
--- a/anvio/docs/artifacts/external-genomes.md
+++ b/anvio/docs/artifacts/external-genomes.md
@@ -12,4 +12,12 @@ The external genomes file format enables anvi'o to work with one or more externa
 {:.warning}
 Please make sure names in the `name` column does not include any special characters (underscore is fine). It is also a good idea to keep these names short and descriptive as they will appear in various figures in downstream analyses.
 
+## Additional columns
+
+In some cases additional columns may be required to be in this file. Below is a table of the possible columns you may need.
+
+| header | description | required for |
+|----|----|----|
+| group | which group the genome belongs to (can be empty) | %(anvi-compute-functional-enrichment)s |
+
 Also see **%(internal-genomes)s** and **%(metagenomes)s**.
diff --git a/anvio/docs/artifacts/external-structures.md b/anvio/docs/artifacts/external-structures.md
deleted file mode 100644
index b1949055f5..0000000000
--- a/anvio/docs/artifacts/external-structures.md
+++ /dev/null
@@ -1,19 +0,0 @@
-By default, anvi'o predicts protein structures using MODELLER when creating a %(structure-db)s. Yet, if the user provides an external structures file, then anvi'o does not perform template-based homology modelling, and instead uses this file to obtain the structure information for the %(structure-db)s.
-
-External structures is a user-provided TAB-delimited file that should follow this format:
-
-|gene_callers_id|path|
-|:---:|:---|
-|1|path/to/gene1/structure.pdb|
-|2|path/to/gene2/structure.pdb|
-|3|path/to/gene3/structure.pdb|
-|4|path/to/gene4/structure.pdb|
-|7|path/to/gene5/structure.pdb|
-|8|path/to/gene6/structure.pdb|
-|(...)|(...)|
-
-Each path should point to a %(protein-structure-txt)s.
-
-{:.notice}
-Please note that anvi'o will try its best to test the integrity of each file, and work with any limitations, however ultimately the user may be subject to the strict requirements set forth by anvi'o. For example, if a structure has a missing residue, you will hear about it.
-
diff --git a/anvio/docs/artifacts/fasta.md b/anvio/docs/artifacts/fasta.md
index b65d45a638..78fee1f994 100644
--- a/anvio/docs/artifacts/fasta.md
+++ b/anvio/docs/artifacts/fasta.md
@@ -1,17 +1,16 @@
-A [FASTA](https://en.wikipedia.org/wiki/FASTA_format) file that does not necessarily meet the standards of a %(contigs-fasta)s. While it is not necessary for all programs, if a given anvi'o program requires a %(contigs-fasta)s, the program %(anvi-script-reformat-fasta)s can turn a regular fasta into a %(contigs-fasta)s with the flag `--simplify-names`.
+A FASTA-formatted file that does not necessarily meet the standards of a %(contigs-fasta)s.
 
-### What is a FASTA file?
+%(anvi-script-reformat-fasta)s can turn a regular fasta into a %(contigs-fasta)s, which anvi'o will be able to utilize better.
 
-A FASTA file typically contains one or more DNA, RNA, or amino acid sequences that are formatted as follows:
+### But what is a FASTA file? 
 
-```
->SEQUENCE_ID VARIOUS_SEQUENCE_DATA
-SEQUENCE
-(...)
-```
+A FASTA file contains sequences (in this case, nucleotide sequences, though they can also describe peptide sequences) that are formatted as follows: 
 
-The line that starts with the character `>` is also known as the 'defline' for a given sequence. The `VARIOUS_SEQUENCE_DATA` region of the defline can be empty, or contain additional data such as the NCBI taxon ID, GI accession number, a text description of the sequence, or the start and end positions if the sequence is a portion of a larger sample. Because the FASTA file format was designed before there weren't even enough electronic calculators on the planet, there is no actual standard format to organize additional information shared in the defline.
+    >SEQUENCE_ID VARIOUS_SEQUENCE_DATA
+    SEQUENCE
+    
+The `VARIOUS_SEQUENCE_DATA` region can contain data such as the NCBI taxon ID, GI accession number, a text description of the sequence, or the start and end positions if the sequence is a portion of a larger sample. All of this information is optional. 
 
-The sequence itself is typically written in standard [IUPAC format](https://en.wikipedia.org/wiki/Nucleic_acid_notation), although you may find FASTA files with sequences that contain lower-case letter, mixed letters, no letters, or pretty much anything really. Over the years we have seen everything, and suggest you to take a careful look at your FASTA files before doing anything with them unless you generated them yourself.
+The sequence itself is written in standard IUPAC format (though it can be written in lower-case letters).  
 
-You can learn more about the FASTA format on its [glorious Wikipedia page](https://en.wikipedia.org/wiki/FASTA_format).
+For a concrete example, you can download sequences from the NCBI database in FASTA format. 
diff --git a/anvio/docs/artifacts/functional-enrichment-txt.md b/anvio/docs/artifacts/functional-enrichment-txt.md
index a3cc2e993b..b4ea04d3c7 100644
--- a/anvio/docs/artifacts/functional-enrichment-txt.md
+++ b/anvio/docs/artifacts/functional-enrichment-txt.md
@@ -1,4 +1,4 @@
-This is a TAB-delimited output file that describes enrichment scores and associated groups for functions or metabolic modules in groups of genomes or samples.
+This is a TAB-delimited output file that describes enrichment scores and associated groups for functions or metabolic modules in groups of genomes or samples. It is produced by %(anvi-compute-functional-enrichment)s.
 
 ## General format
 
@@ -11,14 +11,14 @@ The following columns of information are listed in the file:
 - unadjusted_p_value: the significance value of the hypothesis test for enrichment, unadjusted for multiple hypothesis testing
 - adjusted_q_value: the adjusted p-value after taking into account multiple hypothesis testing
 - associated groups: the list of groups that this entity is associated with
-- accession: a function accession number or KEGG module number
-- a list of gene cluster ids, sample names, or genome names that this entity is found in
+- accession: a function accession number or KEGG module number (depends on your input option for %(anvi-compute-functional-enrichment)s)
+- a list of gene cluster ids, sample names, or genome names that this entity is found in (also depends on your input option for %(anvi-compute-functional-enrichment)s)
 - p values for each group: gives the proportion of the group's member genomes or samples in which this entity was found.
 - N values for each group: gives the total number of genomes or samples in each group.
 
 ## A specific example - enriched functions in pangenomes
 
-When you run %(anvi-compute-functional-enrichment-in-pan)s to compute enrichment scores for functions in a pangenome, the resulting matrix describes the gene cluster-level functional associations that are enriched within specific groups of your pangenome. This is described in more detail [in the pangenomics tutorial](http://merenlab.org/2016/11/08/pangenomics-v2/#making-sense-of-functions-in-your-pangenome).
+When you run %(anvi-compute-functional-enrichment)s (with input option 1) to compute enrichment scores for functions in a pangenome, the resulting matrix describes the gene cluster-level functional associations that are enriched within specific groups of your pangenome. This is described in more detail [in the pangenomics tutorial](http://merenlab.org/2016/11/08/pangenomics-v2/#making-sense-of-functions-in-your-pangenome).
 
 Here is a more concrete example (the same example as in the [pangenomics tutorial](http://merenlab.org/2016/11/08/pangenomics-v2/#making-sense-of-functions-in-your-pangenome)). Note that that tutorial uses `COG_FUNCTION` as the functional annotation source, and has `LL` (low light) and `HL` (high light) as the two pan-groups.
 
diff --git a/anvio/docs/artifacts/groups-txt.md b/anvio/docs/artifacts/groups-txt.md
index 5d699cea1e..6c75d03f25 100644
--- a/anvio/docs/artifacts/groups-txt.md
+++ b/anvio/docs/artifacts/groups-txt.md
@@ -12,4 +12,4 @@ Here is an example %(groups-txt)s file:
 |(...)|(...)|
 
 {:.warning}
-If you are passing this file to the program %(anvi-compute-metabolic-enrichment)s, the names in the `sample` column must match those in the "modules" mode output file that you provide to the program via the `--modules-txt` parameter. If you know that the sample names match but you are still getting errors, you might need to specify which column in the "modules" mode output contains those sample names using the `--sample-header` parameter.
+If you are passing this file to the program %(anvi-compute-functional-enrichment)s with the "INPUT OPTION #2: ESTIMATED METABOLISM", the names in the `sample` column must match those in the "modules" mode output file that you provide to the %(anvi-compute-functional-enrichment)s program via the `--modules-txt` parameter. If you know that the sample names match but you are still getting errors, you might need to specify which column in the "modules" mode output contains those sample names using the `--sample-header` parameter of %(anvi-compute-functional-enrichment)s.
diff --git a/anvio/docs/artifacts/internal-genomes.md b/anvio/docs/artifacts/internal-genomes.md
index 12ca61b675..e4bd713e56 100644
--- a/anvio/docs/artifacts/internal-genomes.md
+++ b/anvio/docs/artifacts/internal-genomes.md
@@ -12,4 +12,12 @@ The internal genomes file format enables anvi'o to work with one or more bins fr
 {:.warning}
 Please make sure names in the `name` column does not include any special characters (underscore is fine). It is also a good idea to keep these names short and descriptive as they will appear in various figures in downstream analyses.
 
+## Additional columns
+
+In some cases additional columns may be required to be in this file. Below is a table of the possible columns you may need.
+
+| header | description | required for |
+|----|----|----|
+| group | name of the group that the genome belongs to (can be empty) | %(anvi-compute-functional-enrichment)s |
+
 Also see **%(external-genomes)s** and **%(metagenomes)s**.
diff --git a/anvio/docs/artifacts/kegg-metabolism.md b/anvio/docs/artifacts/kegg-metabolism.md
index 6a8656e84e..7cb7193633 100644
--- a/anvio/docs/artifacts/kegg-metabolism.md
+++ b/anvio/docs/artifacts/kegg-metabolism.md
@@ -2,40 +2,35 @@ Output text files produced by %(anvi-estimate-metabolism)s that describe the pre
 
 Depending on the output options used when running %(anvi-estimate-metabolism)s, these files will have different formats. This page describes and provides examples of the various output file types.
 
-Please note that the examples below show only KEGG data, but user-defined metabolic pathways (%(user-metabolism)s) can also be included in this output!
-
 ### How to get to this output
 ![A beautiful workflow of metabolism reconstruction in anvi'o](../../images/metabolism_reconstruction.png)
 
 ## Long-format output modes
 
-The long-format output option produces tab-delimited files. Different output "modes" will result in output files with different information.
+The long-format output option produces tab-delimited files. Each line in the file (except for the header) is indexed by an integer in the `unique_id` column. Different output "modes" will result in output files with different information.
 
 ### 'Modules' Mode
 
-The 'modules' mode output file will have the suffix `modules.txt`. Each line in the file will represent information about a metabolic module in a given genome, bin, or contig of a metagenome assembly. Here is one example, produced by running metabolism estimation on the _Enterococcus_ external genomes in the [Infant Gut dataset](http://merenlab.org/tutorials/infant-gut/):
+The `modules` mode output file will have the suffix `modules.txt`. Each line in the file will represent information about a KEGG module in a given genome, bin, or contig of a metagenome assembly. Here is one example, produced by running metabolism estimation on the [Infant Gut dataset](http://merenlab.org/tutorials/infant-gut/):
 
-module | genome_name | db_name | module_name | module_class | module_category | module_subcategory | module_definition | module_completeness | module_is_complete | proportion_unique_enzymes_present | enzymes_unique_to_module | unique_enzymes_hit_counts | enzyme_hits_in_module | gene_caller_ids_in_module | warnings
-|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|
-M00001 | Enterococcus_faecalis_6240 | E_faecalis_6240 | Glycolysis (Embden-Meyerhof pathway), glucose => pyruvate | Pathway modules | Carbohydrate metabolism | Central carbohydrate metabolism | "(K00844,K12407,K00845,K25026,K00886,K08074,K00918) (K01810,K06859,K13810,K15916) (K00850,K16370,K21071,K00918) (K01623,K01624,K11645,K16305,K16306) K01803 ((K00134,K00150) K00927,K11389) (K01834,K15633,K15634,K15635) K01689 (K00873,K12406)" | 1.0 | True | NA | No enzymes unique to module | NA | K00134,K00134,K00850,K00873,K00927,K01624,K01689,K01803,K01803,K01810,K01834,K01834,K25026 | 1044,642,225,226,1043,348,1041,1042,1043,600,2342,2646,1608 | K01624 is present in multiple modules: M00001/M00003/M00165/M00167/M00345/M00344/M00611/M00612,K01810 is present in multiple modules: M00001/M00004/M00892/M00909,K00927 is present in multiple modules: M00001/M00002/M00003/M00308/M00552/M00165/M00166/M00611/M00612,K00873 is present in multiple modules: M00001/M00002,K25026 is present in multiple modules: M00001/M00549/M00909,K01689 is present in multiple modules: M00001/M00002/M00003/M00346,K01834 is present in multiple modules: M00001/M00002/M00003,K01803 is present in multiple modules: M00001/M00002/M00003,K00134 is present in multiple modules: M00001/M00002/M00003/M00308/M00552/M00165/M00166/M00611/M00612,K00850 is present in multiple modules: M00001/M00345
-M00002 | Enterococcus_faecalis_6240 | E_faecalis_6240 | Glycolysis, core module involving three-carbon compounds | Pathway modules | Carbohydrate metabolism | Central carbohydrate metabolism | "K01803 ((K00134,K00150) K00927,K11389) (K01834,K15633,K15634,K15635) K01689 (K00873,K12406)" | 1.0 | True | NA | No enzymes unique to module | NA | K00134,K00134,K00873,K00927,K01689,K01803,K01803,K01834,K018341044,642,226,1043,1041,1042,1043,2342,2646 | K00927 is present in multiple modules: M00001/M00002/M00003/M00308/M00552/M00165/M00166/M00611/M00612,K00873 is present in multiple modules: M00001/M00002,K01689 is present in multiple modules: M00001/M00002/M00003/M00346,K01834 is present in multiple modules: M00001/M00002/M00003,K01803 is present in multiple modules: M00001/M00002/M00003,K00134 is present in multiple modules: M00001/M00002/M00003/M00308/M00552/M00165/M00166/M00611/M00612
-M00003 | Enterococcus_faecalis_6240 | E_faecalis_6240 | Gluconeogenesis, oxaloacetate => fructose-6P | Pathway modules | Carbohydrate metabolism | Central carbohydrate metabolism | "(K01596,K01610) K01689 (K01834,K15633,K15634,K15635) K00927 (K00134,K00150) K01803 ((K01623,K01624,K11645) (K03841,K02446,K11532,K01086,K04041),K01622)" | 0.875 | True | NA | No enzymes unique to module | NA | K00134,K00134,K00927,K01624,K01689,K01803,K01803,K01834,K01834,K04041 | 1044,642,1043,348,1041,1042,1043,2342,2646,617 | K01624 is present in multiple modules: M00001/M00003/M00165/M00167/M00345/M00344/M00611/M00612,K00927 is present in multiple modules: M00001/M00002/M00003/M00308/M00552/M00165/M00166/M00611/M00612,K04041 is present in multiple modules: M00003/M00611/M00612,K01689 is present in multiple modules: M00001/M00002/M00003/M00346,K01834 is present in multiple modules: M00001/M00002/M00003,K01803 is present in multiple modules: M00001/M00002/M00003,K00134 is present in multiple modules: M00001/M00002/M00003/M00308/M00552/M00165/M00166/M00611/M00612
-|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|
+| unique_id | db_name | genome_name | kegg_module | module_name | module_class | module_category | module_subcategory | module_definition | module_completeness | module_is_complete | kofam_hits_in_module | gene_caller_ids_in_module | warnings |
+|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|
+| 0 | E_faecalis_6240 | Enterococcus_faecalis_6240 | M00001 | Glycolysis (Embden-Meyerhof pathway), glucose => pyruvate | Pathway modules | Carbohydrate metabolism | Central carbohydrate metabolism | """(K00844,K12407,K00845,K00886,K08074,K00918) (K01810,K06859,K13810,K15916) (K00850,K16370,K21071,K00918) (K01623,K01624,K11645,K16305,K16306) K01803 ((K00134,K00150) K00927,K11389) (K01834,K15633,K15634,K15635) K01689 (K00873,K12406)""" | 1.0 | True | K01834,K00134,K00873,K01689,K01624,K01803,K00927,K00850,K01810,K00845 | 2342,2646,1044,642,226,1041,348,1042,1043,225,600,1608 | None |
+| 1 | E_faecalis_6240 | Enterococcus_faecalis_6240 | M00002 | Glycolysis, core module involving three-carbon compounds | Pathway modules | Carbohydrate metabolism | Central carbohydrate metabolism | """K01803 ((K00134,K00150) K00927,K11389) (K01834,K15633,K15634,K15635) K01689 (K00873,K12406)""" | 1.0 | True |K01834,K00134,K00873,K01689,K01803,K00927 | 2342,2646,1044,642,226,1041,1042,1043 | None |
+|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|
 
 What are the data in each of these columns?
 
-- `module`: the module identifier for a metabolic pathway (from the KEGG MODULE database or from user-defined modules)
-- `genome_name`/`bin_name`/`contig_name`: the identifier for the current sample, whether that is a genome, bin, or contig from a metagenome assembly
+- `unique_id`: a unique integer to identify the row
 - `db_name`: the name of the contigs database from which this data comes (only appears in output from multi-mode, in which multiple DBs are processed at once)
-- `module_name`/`module_class`/`module_category`/`module_subcategory`/`module_definition`: metabolic pathway information, from the KEGG MODULE database or from user-defined metabolic modules
-- `module_completeness`: a fraction between 0 and 1 indicating the proportion of steps in the metabolic pathway that have an associated enzyme annotation. To learn how this number is calculated, see [the anvi-estimate-metabolism help page](https://merenlab.org/software/anvio/help/main/programs/anvi-estimate-metabolism/#how-is-the-module-completeness-score-calculated)
+- `genome_name`/`bin_name`/`contig_name`: the identifier for the current sample, whether that is a genome, bin, or contig from a metagenome assembly
+- `kegg_module`: the KEGG MODULE number for a metabolic pathway
+- `module_name`/`module_class`/`module_category`/`module_subcategory`/`module_definition`: metabolic pathway information from the KEGG MODULE database
+- `module_completeness`: a fraction between 0 and 1 indicating the proportion of steps in the metabolic pathway that have an associated KO annotation. To learn how this number is calculated, see [the anvi-estimate-metabolism help page](https://merenlab.org/software/anvio/help/main/programs/anvi-estimate-metabolism/#how-is-the-module-completeness-score-calculated)
 - `module_is_complete`: a boolean value indicating whether the `module_completeness` score is above a certain threshold or not (the default threshold is 0.75)
-- `proportion_unique_enzymes_present`: some enzymes only belong to one metabolic pathway, which means that their presence is a better indicator for the presence of a metabolic capacity than other enzymes that are shared across multiple pathways. This column contains the fraction of these unique enzymes that are present in the sample. For instance, if the module has only 1 unique enzyme and it is present, you will see a 1 in this column. You can find out the denominator of this fraction (ie, the number of unique enzymes for this module) by either calculating the length of the list in the `enzymes_unique_to_module` column, or by requesting custom modules mode output with the `unique_enzymes_context_string` header
-- `enzymes_unique_to_module`: a comma-separated list of the enzymes that only belong to the current module (ie, are not shared across multiple metabolic pathways)
-- `unique_enzymes_hit_counts`: a comma-separated list of how many times each unique enzyme appears in the sample, in the same order as the `enzymes_unique_to_module` list
-- `enzyme_hits_in_module`: a comma-separated list of the enzyme annotations that were found in the current sample and contribute to this metabolic pathway (these will be enzymes from the metabolic pathway definition in the `module_definition` column)
-- `gene_caller_ids_in_module`: a comma-separated list of the genes with enzyme annotations that contribute to this pathway, in the same order as the annotations in the `enzyme_hits_in_module` column
-- `warnings`: miscellaneous caveats to consider when interpreting the `module_completeness` score. For example, a warning like "No KOfam profile for K00172" would indicate that we cannot annotate K00172 because we have no HMM profile for that gene family, which means that any metabolic pathway containing this KO can never be fully complete (even if a gene from that family does exist in your sequences). Seeing many warnings like "K01810 is present in multiple modules: M00001/M00004/M00892/M00909" indicates that the current module shares many enzymes with other metabolic pathways, meaning that it may appear to be complete only because its component enzymes are common. Extra caution should be taken when considering the completeness of modules with warnings
+- `kofam_hits_in_module`: a comma-separated list of the KO annotations that were found in the current sample and contribute to this metabolic pathway (these will be KOs from the metabolic pathway definition in the `module_definition` column)
+- `gene_caller_ids_in_module`: a comma-separated list of the genes with KO annotations that contribute to this pathway, in the same order as the annotations in the `kofam_hits_in_module` column
+- `warnings`: miscellaneous caveats to consider when interpreting the `module_completeness` score. For example, a warning like "No KOfam profile for K00172" would indicate that we cannot annotate K00172 because we have no HMM profile for that gene family, which means that any metabolic pathway containing this KO can never be fully complete (even if a gene from that family does exist in your sequences). Extra caution should be taken when considering the completeness of modules with warnings
 
 **Coverage and detection values in the output**
 
@@ -47,11 +42,11 @@ If you use the flag `--add-coverage` and provide a profile database, additional
 
 In this mock example, the module in this row has four gene calls in it. The `SAMPLE_1_gene_coverages` column lists the mean coverage of each of those genes in SAMPLE_1 (in the same order as the gene calls are listed in the `gene_caller_ids_in_module` column), and the `SAMPLE_1_avg_coverage` column holds the average of these values. As you probably expected, the `detection` columns are similarly defined, except that they contain detection values instead of coverage.
 
-### 'Hits in Modules' Mode
+### 'KOfam Hits in Modules' Mode
 
-The 'hits_in_modules' output file will have the suffix `hits_in_modules.txt`. Each line in the file will represent information about one enzyme annotation (ie, one gene) in a given genome, metagenome, or bin - but _only_ enzymes that are a part of at least one module are included in this output. Hits are organized according to the module that they belong to, and more specifically the path through the module in which the enzyme appears.
+The `kofam_hits_in_modules` output file will have the suffix `kofam_hits_in_modules.txt`. Each line in the file will represent information about one KOfam hit in a given genome, metagenome, or bin - but _only_ KOs that are a part of at least one KEGG Module are included in this output. Hits are organized according to the KEGG module that they belong to, and more specifically the path through the KEGG module in which the KO appears.
 
-What is a path through a module, you ask? Well. There is a lengthier explanation of this [here](https://merenlab.org/software/anvio/help/main/programs/anvi-estimate-metabolism/#what-data-is-used-for-estimation), but we will go through it briefly below.
+What is a path through a KEGG module, you ask? Well. There is a lengthier explanation of this [here](https://merenlab.org/software/anvio/help/main/programs/anvi-estimate-metabolism/#what-data-is-used-for-estimation), but we will go through it briefly below.
 
 KEGG modules are metabolic pathways defined by a set of KOs. For example, here is the definition of module [M00001](https://www.genome.jp/kegg-bin/show_module?M00001), better known as "Glycolysis (Embden-Meyerhof pathway), glucose => pyruvate":
 
@@ -65,27 +60,24 @@ to get the following path of KOs (which happens to be the path shown in the outp
 
 K00844 K01810 K00850 K01623 K01803 K00134 K00927 K01834 K01689 K00873
 
-For every KO in the path above that has a hit in the %(contigs-db)s, there will be a corresponding line in the 'hits_in_modules' output file. The same will occur for every possible path in every single KEGG module, resulting in a lot of lines and extremely repetitive but nicely parseable information.
-
-The same principle applies to user-defined metabolic modules, except that the enzymes can be from a variety of different annotation sources (not just KOfam).
+For every KO in the path above that has a hit in the %(contigs-db)s, there will be a corresponding line in the 'kofam_hits_in_modules' output file. The same will occur for every possible path in every single KEGG module, resulting in a lot of lines and extremely repetitive but nicely parseable information.
 
 Without further ado, here is an example of this output mode (also from the Infant Gut dataset):
 
-module | genome_name | db_name | module_is_complete | module_completeness | path_id | path | path_completeness | enzyme_hit | gene_caller_id | contig
-|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|
-M00001 | Enterococcus_faecalis_6240 | E_faecalis_6240 | True | 1.0 | 0 | K00844,K01810,K00850,K01623,K01803,K00134,K00927,K01834,K01689,K00873 | 0.8 | K00134 | 1044 | Enterococcus_faecalis_6240_contig_00003_chromosome
-M00001 | Enterococcus_faecalis_6240 | E_faecalis_6240 | True | 1.0 | 0 | K00844,K01810,K00850,K01623,K01803,K00134,K00927,K01834,K01689,K00873 | 0.8 | K25026 | 642 | Enterococcus_faecalis_6240_contig_00003_chromosome
-M00001 | Enterococcus_faecalis_6240 | E_faecalis_6240 | True | 1.0 | 0 | K00844,K01810,K00850,K01623,K01803,K00134,K00927,K01834,K01689,K00873 | 0.8 | K01689 | 1041 | Enterococcus_faecalis_6240_contig_00003_chromosome
-|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|
+| unique_id | db_name | genome_name | kofam_hit | gene_caller_id | contig | path_id | path | path_completeness | kegg_module | module_completeness | module_is_complete |
+|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|
+| 0 | E_faecalis_6240 | Enterococcus_faecalis_6240 | K01834 | 2342 | Enterococcus_faecalis_6240_contig_00003_chromosome | 0 | K00844,K01810,K00850,K01623,K01803,K00134,K00927,K01834,K01689,K00873 | 0.8 | Enterococcus_faecalis_6240 | M00001 | 1.0 | True |
+| 1 | E_faecalis_6240 | Enterococcus_faecalis_6240 | K01834 | 2646 | Enterococcus_faecalis_6240_contig_00003_chromosome | 0 | K00844,K01810,K00850,K01623,K01803,K00134,K00927,K01834,K01689,K00873 | 0.8 | M00001 | 1.0 | True |
+|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|
 
-Many of the columns in this data overlap with the 'modules' mode columns; you can find descriptions of those in the previous section. Below are the descriptions of new columns in this mode:
+Many of the columns in this data overlap with the `modules_mode` columns; you can find descriptions of those in the previous section. Below are the descriptions of new columns in this mode:
 
-- `enzyme_hit`: an enzyme annotation from the contigs database that contributes to a module
-- `gene_caller_id`: the ID of the gene that is annotated with this enzyme
+- `kofam_hit`: a KO annotation from the contigs database that contributes to a KEGG module
+- `gene_caller_id`: the ID of the gene that is annotated with this KO
 - `contig`: the contig on which this gene is present
-- `path_id`: a unique identifier of the current path through the module
-- `path`: the current path of enzymes through the module (described above), which this enzyme annotation contributes to
-- `path_completeness`: a fraction between 0 and 1 indicating the proportion of enzymes in the _current path_ that are annotated. To learn how this number is calculated, see [the anvi-estimate-metabolism help page](https://merenlab.org/software/anvio/help/main/programs/anvi-estimate-metabolism/#how-is-the-module-completeness-score-calculated)
+- `path_id`: a unique identifier of the current path through the KEGG module
+- `path`: the current path of KOs through the module (described above), which this KO annotation contributes to
+- `path_completeness`: a fraction between 0 and 1 indicating the proportion of KOs in the current path that are annotated. To learn how this number is calculated, see [the anvi-estimate-metabolism help page](https://merenlab.org/software/anvio/help/main/programs/anvi-estimate-metabolism/#how-is-the-module-completeness-score-calculated)
 
 **Coverage and detection values in the output**
 
@@ -97,36 +89,36 @@ The flag `--add-coverage` can also be used for this output mode, but in this cas
 
 Since each row is a single gene in this output mode, these columns will contain the coverage/detection values for that gene only.
 
-### Enzyme 'Hits' Mode
+### 'KOfam Hits' Mode
 
-The 'hits' output file will have the suffix `hits.txt`. Unlike the previous mode, this output will include ALL enzyme hits (from all annotation sources used for metabolism estimation), regardless of whether the enzyme belongs to a metabolic module or not. Since only a subset of these enzymes belong to modules, this output does not include module-related information like paths and module completeness.
+The `kofam_hits` output file will have the suffix `kofam_hits.txt`. Unlike the previous mode, this output will include ALL KO hits, regardless of whether the KO belongs to a KEGG Module or not. However, since only a subset of these KOs belong to modules, this output does not include module-related information like paths and module completeness.
 
 Here is an example of this output mode (also from the Infant Gut dataset):
 
-enzyme | genome_name | db_name | gene_caller_id | contig | modules_with_enzyme | enzyme_definition
-|:--|:--|:--|:--|:--|:--|:--|
-K25026 | Enterococcus_faecalis_6240 | E_faecalis_6240 | 1608 | Enterococcus_faecalis_6240_contig_00003_chromosome | M00001,M00549,M00909 | glucokinase [EC:2.7.1.2]
-K01810 | Enterococcus_faecalis_6240 | E_faecalis_6240 | 600 | Enterococcus_faecalis_6240_contig_00003_chromosome | M00001,M00004,M00892,M00909 | glucose-6-phosphate isomerase [EC:5.3.1.9]
-K00850 | Enterococcus_faecalis_6240 | E_faecalis_6240 | 225 | Enterococcus_faecalis_6240_contig_00003_chromosome | M00001,M00345 | 6-phosphofructokinase 1 [EC:2.7.1.11]
-(...) |(...)|(...)|(...)|(...)|(...)|(...)|
+unique_id | db_name | genome_name | ko | gene_caller_id | contig | modules_with_ko | definition
+|:--|:--|:--|:--|:--|:--|:--|:--|
+0 | E_faecalis_6240 | Enterococcus_faecalis_6240 | K00845 | 1608 | Enterococcus_faecalis_6240_contig_00003_chromosome | M00001,M00549,M00892,M00909 | glucokinase [EC:2.7.1.2]
+1 | E_faecalis_6240 | Enterococcus_faecalis_6240 | K01810 | 600 | Enterococcus_faecalis_6240_contig_00003_chromosome | M00001,M00004,M00114,M00892,M00909 | glucose-6-phosphate isomerase [EC:5.3.1.9]
+2 | E_faecalis_6240 | Enterococcus_faecalis_6240 | K00850 | 225 | Enterococcus_faecalis_6240_contig_00003_chromosome | M00001,M00345 | 6-phosphofructokinase 1 [EC:2.7.1.11]
+(...) |(...)|(...)|(...)|(...)|(...)|(...)|(...)|
 
 Here are the descriptions of any new columns not yet discussed in the previous sections:
 
-- `enzyme`: an enzyme that was annotated in the contigs database
-- `modules_with_enzyme`: the modules (if any) that this enzyme belongs to
-- `enzyme_definition`: the function of this enzyme (often includes the enzyme name and EC number)
+- `ko`: a KO that was annotated in the contigs database
+- `modules_with_ko`: the KEGG modules (if any) that this KO belongs to
+- `definition`: the function of this KO (typically the enzyme name and EC number)
 
 **Coverage and detection values in the output**
 
-If you use the flag `--add-coverage` and provide a profile database, you will get the same additional columns per row as described above in for `hits_in_modules` mode. That is, you will get one column per sample for coverage (containing the coverage value of the KO hit in the sample) and one column per sample for detection (containing the detection value of the KO hit in the sample).
+If you use the flag `--add-coverage` and provide a profile database, you will get the same additional columns per row as described above in for `kofam_hits_in_modules` mode. That is, you will get one column per sample for coverage (containing the coverage value of the KO hit in the sample) and one column per sample for detection (containing the detection value of the KO hit in the sample). 
 
 ### Custom Mode (for module data)
 
-The 'modules_custom' output mode will have user-defined content and the suffix `modules_custom.txt` (we currently only support output customization for modules data). See %(anvi-estimate-metabolism)s for an example command to work with this mode. The output file will look similar to the 'modules' mode output, but with a different (sub)set of columns.
+The `modules_custom` output mode will have user-defined content and the suffix `modules_custom.txt` (we currently only support output customization for modules data). See %(anvi-estimate-metabolism)s for an example command to work with this mode. The output file will look similar to the `modules` mode output, but with a different (sub)set of columns.
 
 ## Matrix format output
 
-Matrix format is an output option when %(anvi-estimate-metabolism)s is working with multiple contigs databases at once. The purpose of this output type is to generate matrices of module statistics for easy visualization and clustering. Currently, the matrix-formatted output includes a module completeness matrix, a matrix of binary module presence/absence values, and a matrix of enzyme annotation counts. In these matrices, each row is a module or enzyme, and each column is an input sample.
+Matrix format is an output option when %(anvi-estimate-metabolism)s is working with multiple contigs databases at once. The purpose of this output type is to generate matrices of KEGG module statistics for easy visualization and clustering. Currently, the matrix-formatted output includes a module completeness matrix, a matrix of binary module presence/absence values, and a matrix of KO counts. In these matrices, each row is a KEGG module or KO, and each column is an input sample.
 
 Here is an example of a module completeness matrix, for bins in a metagenome:
 
@@ -154,4 +146,4 @@ The module completeness matrix files will have the suffix `completeness-MATRIX.t
 
 Module presence/absence matrix files will have the suffix `presence-MATRIX.txt`. In these files, each cell of the matrix will have either a 1.0 or a 0.0. A 1.0 indicates that the module has a completeness score above the module completeness threshold in that sample, while a 0.0 indicates that the module's completeness score is not above the threshold.
 
-Finally, KO hit matrix files will have the suffix `enzyme_hits-MATRIX.txt`. Each row of the matrix will be an enzyme, and each column will be an input sample. Cells in this matrix will contain an integer value, representing the number of times the enzyme was annotated in that sample. (Note: you will also add metadata to this matrix type when you use the `--include-metadata` flag).
+Finally, KO hit matrix files will have the suffix `ko_hits-MATRIX.txt`. Each row of the matrix will be a KO, and each column will be an input sample. Cells in this matrix will contain an integer value, representing the number of times the KO was annotated in that sample.
diff --git a/anvio/docs/artifacts/modifications-txt.md b/anvio/docs/artifacts/modifications-txt.md
deleted file mode 100644
index fb43450574..0000000000
--- a/anvio/docs/artifacts/modifications-txt.md
+++ /dev/null
@@ -1,24 +0,0 @@
-This tabular file contains data on predicted modifications in tRNA-seq seeds.
-
-This file is produced by %(anvi-tabulate-trnaseq)s. The artifact for that program describes this and related tables in detail.
-
-This tab-delimited file can be easily manipulated by the user. It is required input for %(anvi-plot-trnaseq)s.
-
-## Example
-
-The modifications shown in this table are from the seeds represented in the %(seeds-specific-txt)s and %(seeds-non-specific-txt)s example tables.
-
-| gene_callers_id | contig_name | anticodon | aa | domain | phylum | class | order | family | genus | species | taxon_percent_id | seed_position | ordinal_name | ordinal_position | canonical_position | reference | sample_name | A | C | G | T |
-| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
-0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | 19 | d_loop_beta_1 | 22 | 20 | G | DB_01 | 142 | 589 | 69411 | 1315 |
-0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | 19 | d_loop_beta_1 | 22 | 20 | G | DB_03 | 217 | 1056 | 83751 | 2592 |
-0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | 19 | d_loop_beta_1 | 22 | 20 | G | DB_05 | 42 | 212 | 28784 | 515 |
-0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | 19 | d_loop_beta_1 | 22 | 20 | G | DB_07 | 102 | 429 | 45633 | 977 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 32 | anticodon_loop_1 | 36 | 32 | T | DB_01 | 0 | 51 | 14 | 77 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 32 | anticodon_loop_1 | 36 | 32 | T | DB_03 | 1 | 274 | 97 | 642 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 32 | anticodon_loop_1 | 36 | 32 | T | DB_05 | 0 | 78 | 17 | 137 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 32 | anticodon_loop_1 | 36 | 32 | T | DB_07 | 0 | 19 | 18 | 87 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 37 | anticodon_loop_6 | 41 | 37 | G | DB_01 | 0 | 1 | 137 | 5 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 37 | anticodon_loop_6 | 41 | 37 | G | DB_03 | 5 | 18 | 916 | 64 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 37 | anticodon_loop_6 | 41 | 37 | G | DB_05 | 6 | 3 | 222 | 7 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 37 | anticodon_loop_6 | 41 | 37 | G | DB_07 | 0 | 15 | 104 | 1 |
diff --git a/anvio/docs/artifacts/modules-db.md b/anvio/docs/artifacts/modules-db.md
index 948ce01758..9b28a22b79 100644
--- a/anvio/docs/artifacts/modules-db.md
+++ b/anvio/docs/artifacts/modules-db.md
@@ -1,14 +1,14 @@
-A type of database containing information from either A) the [KEGG MODULE database](https://www.genome.jp/kegg/module.html), or B) user-defined metabolic modules, for use in metabolism estimation and/or functional annotation of KEGG Orthologs (KOs).
+A database containing information from the [KEGG MODULE database](https://www.genome.jp/kegg/module.html) for use in metabolic reconstruction and functional annotation of KEGG Orthologs (KOs).
 
-These databases are part of the %(kegg-data)s and %(user-modules-data)s directories. You can get one on your computer by running %(anvi-setup-kegg-kofams)s or %(anvi-setup-user-modules)s. Programs that rely on this type of database include %(anvi-run-kegg-kofams)s and %(anvi-estimate-metabolism)s.
+This database is part of the %(kegg-data)s directory. You can get it on your computer by running %(anvi-setup-kegg-kofams)s. Programs that rely on this database include %(anvi-run-kegg-kofams)s and %(anvi-estimate-metabolism)s.
 
-Most users will never have to interact directly with this kind of database. However, for the brave few who want to try this (or who are figuring out how anvi'o works under the hood), there is some relevant information below.
+Most users will never have to interact directly with this database. However, for the brave few who want to try this (or who are figuring out how anvi'o works under the hood), there is some relevant information below.
 
 ## Database Contents
 
-### The modules table
+### The kegg_modules table
 
-In the current implementation, data about each metabolic pathway (from the KEGG MODULE database, or from user-defined modules) is present in the `modules` table, which looks like this:
+In the current implementation, data about each metabolic pathway from the KEGG MODULE database is present in the `kegg_modules` table, which looks like this:
 
 | module | data_name | data_value | data_definition | line |
 |:--|:--|:--|:--|:--|
@@ -19,19 +19,17 @@ In the current implementation, data about each metabolic pathway (from the KEGG
 | M00001 | ORTHOLOGY | K12407	| hexokinase/glucokinase [EC:2.7.1.1 2.7.1.2] [RN:R01786] | 4 |
 | (...) | (...) | (...) | (...) | (...) |
 
-For the MODULES.db that comes out of %(anvi-setup-kegg-kofams)s, these data correspond to the information that can be found on the KEGG website for each metabolic module - for an example, you can see the page for [M00001](https://www.genome.jp/dbget-bin/www_bget?md:M00001) (or, alternatively, its [flat text file version](http://rest.kegg.jp/get/M00001) from the KEGG REST API).
+These data correspond to the information that can be found on the KEGG website for each metabolic module - for an example, you can see the page for [M00001](https://www.genome.jp/dbget-bin/www_bget?md:M00001) (or, alternatively, its [flat text file version](http://rest.kegg.jp/get/M00001) from the KEGG REST API). 
 
-The USER_MODULES.db that comes out of %(anvi-setup-user-modules)s contains similar information, but defined by the user instead of downloaded from the KEGG website.
+The `module` column indicates the module ID number while the `data_name` column indicates what type of data the row is describing about the module. These data names are usually fairly self-explanatory - for instance, the `DEFINITION` rows describe the module definition and the `ORTHOLOGY` rows describe the KEGG Orthologs (KOs) belonging to the module - however, for an official explanation, you can check [the KEGG help page](https://www.genome.jp/kegg/document/help_bget_module.html).
 
-In either case, the `module` column indicates the module ID number while the `data_name` column indicates what type of data the row is describing about the module. These data names are usually fairly self-explanatory - for instance, the `DEFINITION` rows describe the module definition and the `ORTHOLOGY` rows describe the enzymes belonging to the module - however, for an official explanation, you can check [the KEGG help page](https://www.genome.jp/kegg/document/help_bget_module.html).
-
-The `data_value` and `data_definition` columns hold the information corresponding to the row's `data_name`; for `ORTHOLOGY` fields these are the enzyme accession number and its functional annotation, respectively. Not all rows have a `data_definition` field.
+The `data_value` and `data_definition` columns hold the information corresponding to the row's `data_name`; for `ORTHOLOGY` fields these are the KO number and the KO's functional annotation, respectively. Not all rows have a `data_definition` field. 
 
 Finally, some rows of data originate from the same line in the original KEGG MODULE text file; these rows will have the same number in the `line` column. Perhaps this is a useless field. But it is there.
 
 ### The database hash value
 
-In the `self` table of this database, there is an entry called `hash`. This string is a hash of the contents of the database, and it allows us to identify the version of the data within the database. This value is important for ensuring that the same MODULES.db is used both for annotating a contigs database with %(anvi-run-kegg-kofams)s and for estimating metabolism on that contigs database with %(anvi-estimate-metabolism)s.
+In the `self` table of this database, there is an entry called `hash`. This string is a hash of the contents of the database, and it allows us to identify the version of the data within the database. This value is important for ensuring that the same MODULES.db is used both for annotating a contigs database with %(anvi-run-kegg-kofams)s and for estimating metabolism on that contigs database with %(anvi-estimate-metabolism)s. 
 
 You can easily check the hash value by running the following:
 
@@ -62,58 +60,17 @@ DB Info (no touch also)
 modules_db_hash ..............................: 45b7cc2e4fdc
 ```
 
-### Other important values in the self table
-
-The `data_source` key will tell you if the current database was generated from KEGG data using %(anvi-setup-kegg-kofams)s or from user-defined metabolic modules using %(anvi-setup-user-modules)s.
-
-The `annotation_sources` key will list the functional annotation sources that are required to annotate all enzymes found in the module definitions.
-
-Here is an example of what these fields look like for a KEGG MODULES.db:
-```
-DB Info (no touch also)
-===============================================
-data_source ..................................: KEGG
-annotation_sources ...........................: KOfam
-```
-
-And here is an example of what they look like for a USER_MODULES.db:
-```
-DB Info (no touch also)
-===============================================
-data_source ..................................: USER
-annotation_sources ...........................: KOfam,UpxZ,COG20_FUNCTION
-```
 
 ## Querying the database
 
-If you want to extract information directly from a modules database, you can do it with a bit of SQL :)
+If you want to extract information directly from this database, you can do it with a bit of SQL :) 
 
-Here is one example, which obtains the name of every module in the default KEGG database:
+Here is one example, which obtains the name of every module in the database:
 
 ```
 # learn where the MODULES.db is:
 export ANVIO_MODULES_DB=`python -c "import anvio; import os; print(os.path.join(os.path.dirname(anvio.__file__), 'data/misc/KEGG/MODULES.db'))"`
 # get module names:
-sqlite3 $ANVIO_MODULES_DB "select module,data_value from modules where data_name='NAME'" | \
+sqlite3 $ANVIO_MODULES_DB "select module,data_value from kegg_modules where data_name='NAME'" | \
     tr '|' '\t' > module_names.txt
-```
-
-## Loading the database in Python
-
-The modules database class has plenty of helpful functions defined for it. You can easily load one in Python and use these functions to access the data within. Here is how you load the database:
-
-```python
-import anvio
-import argparse
-import os
-from anvio import kegg
-
-args = argparse.Namespace()
-# CHANGE THIS PATH IF YOU WANT TO LOAD A MODULES DB AT A NON-DEFAULT LOCATION
-path_to_db = os.path.join(os.path.dirname(anvio.__file__), 'data/misc/KEGG/MODULES.db')
-db = kegg.KeggModulesDatabase(path_to_db, args)
-```
-Once you have done this, you can start to use the helper functions. For example, the following function will return a list of all paths through a module:
-```python
-db.unroll_module_definition('M00001')
-```
+```
\ No newline at end of file
diff --git a/anvio/docs/artifacts/palindromes-txt.md b/anvio/docs/artifacts/palindromes-txt.md
deleted file mode 100644
index c6317201ec..0000000000
--- a/anvio/docs/artifacts/palindromes-txt.md
+++ /dev/null
@@ -1,42 +0,0 @@
-A TAB-delimited file of [palindromic sequences](https://en.wikipedia.org/wiki/Palindromic_sequence) reported by %(anvi-search-palindromes)s.
-
-The following example is the output generated by the command below when it was run on %(contigs-db)s of the [Infant Gut Dataset](/tutorials/infant-gut/#downloading-the-pre-packaged-infant-gut-dataset):
-
-{{ codestart }}
-%(anvi-search-palindromes)s -c CONTIGS.db \
-                         --min-palindrome-length 50 \
-                         --max-num-mismatches 1 \
-                         --output-file palindromes.txt
-{{ codestop }}
-
-|sequence_name|length|distance|num_mismatches|first_start|first_end|first_sequence|second_start|second_end|second_sequence|midline|
-|:--|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|
-|Day17a_QCcontig1|48|0|0|195100|195148|AAGAGAAGAGGAGAAGTTCATCCATGGATGAACTTCTCCTCTTCTCTT|195100|195148|AAGAGAAGAGGAGAAGTTCATCCATGGATGAACTTCTCCTCTTCTCTT|`||||||||||||||||||||||||||||||||||||||||||||||||`|
-|Day17a_QCcontig4|147|759|1|268872|269019|TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAAGCTAGAAAAA|269631|269778|TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAAACTAGAAAAA|`|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||x|||||||||`|
-|Day17a_QCcontig4|53|1956|1|268237|268290|CAGCTGCTTTTGTCAAAAGCACATAGGAATTTCACCTCTCCCCAAGTTTACGG|270193|270246|CAGCTGCTTTTGTCAAAAGCACATAGGAATTTCACCTCTCTCCAAGTTTACGG|`||||||||||||||||||||||||||||||||||||||||x||||||||||||`|
-|Day17a_QCcontig4|66|1956|1|268325|268391|ATCATCACTTTTTATTGACTATAAAAATTATTTTAGAATATTTATCGCTCCTTCTTTACGATAAGA|270281|270347|ATCATCACTTTTTATTGACTATAAAAATTATTTTAGAATGTTTATCGCTCCTTCTTTACGATAAGA|`|||||||||||||||||||||||||||||||||||||||x||||||||||||||||||||||||||`|
-|Day17a_QCcontig4|60|98694|1|16368|16428|AGAACAATTTTCGGAAATTCCTTCTTATTTCTCGGAGTTAAACGCTTCTGTCCCGACCTC|115062|115122|AGAACAATTTTCGGAAATTCCTTCTTATTTCTCGGAGTTAAACACTTCTGTCCCGACCTC|`|||||||||||||||||||||||||||||||||||||||||||x||||||||||||||||`|
-|Day17a_QCcontig16|42|0|0|105735|105777|AAAAAGAACGCTCTTTTGCTTAAGCAAAAGAGCGTTCTTTTT|105735|105777|AAAAAGAACGCTCTTTTGCTTAAGCAAAAGAGCGTTCTTTTT|`||||||||||||||||||||||||||||||||||||||||||`|
-|Day17a_QCcontig23|50|0|0|51287|51337|ATAAATAAACAGAGGCCTTAGAAATATTTCTAAGGCCTCTGTTTATTTAT|51287|51337|ATAAATAAACAGAGGCCTTAGAAATATTTCTAAGGCCTCTGTTTATTTAT|`||||||||||||||||||||||||||||||||||||||||||||||||||`|
-
-In which,
-
-* `sequence_name` is the sequence name on which a given palindrome was found.
-* `length` is the the length of the palindrome.
-* `distance` is the number of nucleotides between the location of the palindromic sequences in the larger seqeunce.
-* `num_mismatches` is the number of actual nucleotides in the palindrome sequence that did not match to its counterpart when the sequence was reverse-complemented.
-* `first_start` is the start position of the first palindrome in the reference sequence.
-* `first_end` is the end position of the first palindrome.
-* `second_start` and `second_end` are just like `first_start` and `first_end` but for the second sequence. For perfect palindromes (i.e., palindromes with zero distance), these values will be identical to their counterparts in the first sequence.
-* `first_sequence` and `second_sequence` are the actual nucleotide sequences of both. They will be identical if number of mismatches are zero. Please note that only the reverse complement of the `second_sequence` will be found in the reference sequnce.
-* `midline` an array of letters that are composed of `|` and `x` characters that show where the matching and mismatching nucleotides were (if any).
-
-**Please note** that the `sequence_name` column may not have unique sequence names if multiple palindromes found on the same sequence (which almost certainly be the case for most searches on circular genomes).
-
-**Please also note** that the `start` and `end` positions are *0-indexed*, which means (1) the first nucleotide in the sequence should be counted as the zeroth element, and (2) if you do this in Python using the example above, you will get the matching palindrome from the larger sequence context:
-
-``` python
-contig_sequences[Day17a_QCcontig1][195100: 195148]
-
->>> AAGAGAAGAGGAGAAGTTCATCCATGGATGAACTTCTCCTCTTCTCTT
-```
\ No newline at end of file
diff --git a/anvio/docs/artifacts/pan-db.md b/anvio/docs/artifacts/pan-db.md
index 1f461e1975..04fff47fa0 100644
--- a/anvio/docs/artifacts/pan-db.md
+++ b/anvio/docs/artifacts/pan-db.md
@@ -2,7 +2,7 @@ A pan-db is an anvi’o database that contains **key information associated with
 
 This is the output of the program %(anvi-pan-genome)s, which can be run after you've created a %(genomes-storage-db)s with the genomes you want to analyze. That script does the brunt of the pangenomic analysis; it caluclates the similarity between all of the genes in your genomes-storage-db, clusters them and organizes the final clusters. All of the results of that analysis are stored in a pan-db.
 
-You can use a pan database to run a variety of pangenomic analyses, including %(anvi-compute-genome-similarity)s, %(anvi-analyze-synteny)s, and %(anvi-compute-functional-enrichment-in-pan)s. You can also view and interact with the data in a pan-db using %(anvi-display-pan)s. 
+You can use a pan database to run a variety of pangenomic analyses, including %(anvi-compute-genome-similarity)s, %(anvi-analyze-synteny)s, and %(anvi-compute-functional-enrichment)s. You can also view and interact with the data in a pan-db using %(anvi-display-pan)s. 
 
 To add additional information to the pangenome display, you'll probably want to use %(anvi-import-misc-data)s
 
diff --git a/anvio/docs/artifacts/primers-txt.md b/anvio/docs/artifacts/primers-txt.md
deleted file mode 100644
index 947236d1f7..0000000000
--- a/anvio/docs/artifacts/primers-txt.md
+++ /dev/null
@@ -1,18 +0,0 @@
-A **TAB-delimited** file to describe primer sequences. A primer sequence can be exact (such as `ATCG`), or fuzzy (such as `AT.G`, which would match any combination of `ATAG`, `ATTG`, `ATCG`, or `ATGG`). Fuzzy primers are defined by regular expressions, properties of which are explained best in [the Python documentation](https://docs.python.org/3/library/re.html), or cheatsheets like [this one](https://www.debuggex.com/cheatsheet/regex/python).
-
-This file type includes two required and any number of user-defined optional columns.
-
-The following three columns are **required** for this file type:
-
-* `name`: a single-word name for a given primer,
-* `primer_sequence`: the primer sequence.
-
-### An example primers-txt file
-
-Here is an example file with three primers:
-
-|name|primer_sequence|
-|:--|:--|
-|PR01|AA.A..G..G..G.CCG.C.A.C|
-|PR02|AACACCGCAGTCCATGAGA|
-|PR03|A[TC]A[CG]T[ATC]TCGAGC|
diff --git a/anvio/docs/artifacts/profile-db.md b/anvio/docs/artifacts/profile-db.md
index eb8e2c03d0..99572eaf81 100644
--- a/anvio/docs/artifacts/profile-db.md
+++ b/anvio/docs/artifacts/profile-db.md
@@ -2,29 +2,25 @@ An anvi'o database that **contains key information about the mapping of short re
 
 You can think of this as a extension of a %(contigs-db)s that contains information about how your contigs align with each of your samples. The vast majority of programs that use a profile database will also ask for the contigs database associated with it. 
 
-A profile database contains information about how short reads map to the contigs in a %(contigs-db)s. Specificially, for each sample, a profile database contains
-* the coverage and abundance per nucleotide position for each contig
+A profile database contains information about how short reads map to the contigs in a %(contigs-db)s. Specificially, for each sample, a profile database contains 
+* the coverage and abundance per nucleotide position for each contig 
 * variants of various kinds (single-nucleotide, single-codon, and single-amino acid)
 * structural variants (ex. insertions and deletions)
 These terms are explained on the [anvi'o vocabulary page](http://merenlab.org/vocabulary/)
 
 This information is neccessary to run anvi'o programs like %(anvi-cluster-contigs)s, %(anvi-estimate-metabolism)s, and %(anvi-gen-gene-level-stats-databases)s. You can also interact with a profile database using programs like %(anvi-interactive)s.
 
-Technically, "profile-db" refers to a profile database that contains the data from several samples -- in other words, the result of running %(anvi-merge)s on several %(single-profile-db)s. However, since a %(single-profile-db)s has a lot of the functionality of a profile-db, it might be easier to think of a profile database as a header referring to both single-profile-dbs and profile-dbs (which can also be called a merged-profile-dbs). For simplicity's sake, since most users are dealing with multiple samples, the name was shortened to just profile-db. The following are a list of differences in functionality between a single profile database and a merged profile database:
-* You can run %(anvi-cluster-contigs)s or %(anvi-mcg-classifier)s on only a merged profile database (or profile-db), since they look at the allignment data in many samples
+Technically, "profile-db" refers to a profile database that contains the data from several samples -- in other words, the result of running %(anvi-merge)s on several %(single-profile-db)s. However, since a %(single-profile-db)s has a lot of the functionality of a profile-db, it might be easier to think of a profile database as a header referring to both single-profile-dbs and profile-dbs (which can also be called a merged-profile-dbs). For simplicity sake, since most users are dealing with multiple samples, the name was shortened to just profile-db. The following are a list of differences in functionality between a single profile database and a merged profile database:
+* You can run %(anvi-cluster-contigs)s or %(anvi-mcg-classifier)s on only a merged profile database (or profile-db), since they look at the allignment data in many samples 
 * You cannot run %(anvi-merge)s or %(anvi-import-taxonomy-for-layers)s on a merged profile database, only on a %(single-profile-db)s.
 
 ## How to make a profile database
 
-### If you have multiple samples
+### If you have multiple samples 
 1. Prepare your %(contigs-db)s
 2. Run %(anvi-profile)s with an appropriate %(bam-file)s. The output of this will give you a %(single-profile-db)s. You will need to do this for each of your samples, which have been converted into a %(bam-file)s with your short reads.
 3. Run %(anvi-merge)s on your %(contigs-db)s (from step 1) and your %(single-profile-db)ss (from step 2). The output of this is a profile-db.
 
 ### If you have a single sample
 1. Prepare your %(contigs-db)s
-2. Run %(anvi-profile)s with an appropriate %(bam-file)s. The output of this will give you a %(single-profile-db)s. You can see that page for more information, but essentially you can use a single-profile-db instead of a profile database to run most anvi'o functions.
-
-## Variants
-
-Profile databases, like %(contigs-db)ss, are allowed to have different variants, though the only currently implemented variant, the %(trnaseq-profile-db)s, is for tRNA transcripts from tRNA-seq experiments. The default variant stored for "standard" profile databases is `unknown`. Variants should indicate that substantially different information is stored in the database. For instance, single codon variability is applicable to protein-coding genes but not tRNA transcripts, so SCV data is not recorded for the `trnaseq` variant. The $(trnaseq-workflow)s generates %(trnaseq-profile-db)ss using a very different approach to %(anvi-profile)s.
+2. Run %(anvi-profile)s with an appropriate %(bam-file)s. The output of this will give you a %(single-profile-db)s. You can see that page for more information, but essentially you can use a single-profile-db instead of a profile database to run most anvi'o functions. 
diff --git a/anvio/docs/artifacts/seeds-non-specific-txt.md b/anvio/docs/artifacts/seeds-non-specific-txt.md
deleted file mode 100644
index b7d34828d4..0000000000
--- a/anvio/docs/artifacts/seeds-non-specific-txt.md
+++ /dev/null
@@ -1,22 +0,0 @@
-This tabular file contains data on the nonspecific coverages of tRNA-seq seeds.
-
-Nonspecific coverage represents reads that are not unique to a single tRNA seed. See the %(trnaseq-profile-db)s artifact for a fuller explanation of specific versus nonspecific coverage. The rows and columns of this table are identical to %(seeds-specific-txt)s except for the type of coverage data reported in each.
-
-This file is produced by %(anvi-tabulate-trnaseq)s. The artifact for that program describes this and related tables in detail.
-
-This tab-delimited file can be easily manipulated by the user. It is optional input for %(anvi-plot-trnaseq)s.
-
-## Example
-
-The seeds shown in this table are also shown in the %(seeds-specific-txt)s example. Modifications from these seeds are shown in the %(modifications-txt)s example.
-
-| gene_callers_id | contig_name | anticodon | aa | domain | phylum | class | order | family | genus | species | taxon_percent_id | sample_name | mean_coverage | relative_mean_coverage | relative_discriminator_coverage | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 17a | 18 | 19 | 20 | 20a | 20b | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44.01 | 44.02 | 44.03 | 44.04 | 44.05 | 44.06 | 44.07 | 44.08 | 44.09 | 44.1 | 44.11 | 44.12 | 44.13 | 44.14 | 44.15 | 44.16 | 44.17 | 44.18 | 44.19 | 44.2 | 44.21 | 44.22 | 44.23 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 |
-| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
-0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_01 | 100372.4 |  | 14497 | 14608 | 14815 | 14882 | 14985 | 15828 | 15854 | 15895 | 16410 | 16565 | 16840 | 16960 | 16975 | 16990 | 17490 | 18529 | 19087 |  | 19683 | 21763 | 24353 |  |  | 24699 | 25182 | 29097 | 30476 | 30609 | 30612 | 30491 | 30125 | 29973 | 29506 | 29417 | 26259 | 31169 | 145828 | 153750 | 155936 | 156187 | 156518 | 157233 | 157226 | 157178 | 157429 | 158124 | 159941 | 164453 | 167924 | 170595 | 170567 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 170572 | 170577 | 170547 | 170541 | 170326 | 169581 | 169509 | 169509 | 169497 | 169497 | 169494 | 169491 | 168727 | 168721 | 168719 | 168719 | 168719 | 168719 | 168719 | 168719 | 168489 | 168485 | 168480 | 167688 | 155628 |
-0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_03 | 203816.6 |  | 10498 | 10599 | 11105 | 11217 | 11255 | 11270 | 11350 | 11444 | 12349 | 12539 | 13028 | 13331 | 13337 | 13390 | 14325 | 15079 | 15603 |  | 15769 | 18168 | 21167 |  |  | 23927 | 24910 | 27041 | 28271 | 28395 | 28604 | 28612 | 28749 | 29242 | 30775 | 32254 | 33570 | 44299 | 319895 | 335328 | 337653 | 341382 | 342776 | 344543 | 345794 | 345762 | 345808 | 346281 | 347647 | 354052 | 360294 | 361948 | 361948 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 362317 | 362317 | 362303 | 362303 | 362226 | 362056 | 362056 | 362056 | 362056 | 362050 | 362046 | 362044 | 362044 | 362044 | 362044 | 362044 | 362032 | 362027 | 362027 | 362027 | 361349 | 361349 | 361349 | 360094 | 345770 |
-0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_05 | 26137.9 |  | 5111 | 5184 | 5259 | 5704 | 5979 | 5979 | 5979 | 6011 | 6550 | 6587 | 6587 | 6611 | 6611 | 6611 | 6936 | 7087 | 7090 |  | 7170 | 8243 | 9158 |  |  | 9488 | 9868 | 12268 | 12323 | 12866 | 12616 | 12506 | 12640 | 12630 | 12838 | 12292 | 11336 | 11621 | 36476 | 37479 | 38030 | 38892 | 39018 | 39018 | 39084 | 39068 | 39272 | 39272 | 39272 | 40666 | 41573 | 41879 | 41873 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42019 | 42019 | 42015 | 42015 | 41996 | 41873 | 41857 | 41695 | 41689 | 41689 | 41689 | 41689 | 41683 | 41683 | 41683 | 41569 | 41569 | 40839 | 40839 | 40839 | 40839 | 40538 | 40495 | 40464 | 36174 |
-0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_07 | 182536.6 |  | 16048 | 16134 | 16358 | 16639 | 16664 | 16679 | 16679 | 16757 | 17351 | 17494 | 17494 | 17547 | 17613 | 17737 | 18346 | 18771 | 18776 |  | 19172 | 20831 | 21986 |  |  | 22549 | 22933 | 25352 | 26246 | 26370 | 25534 | 25798 | 25385 | 25277 | 25529 | 25758 | 25079 | 33202 | 289207 | 300224 | 303731 | 306231 | 306774 | 307692 | 307695 | 307604 | 307604 | 307828 | 308578 | 314195 | 317240 | 321017 | 321023 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 321634 | 321634 | 321615 | 321615 | 321596 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321059 | 321059 | 320379 | 320373 | 320363 | 320230 | 303028 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_01 | 3923.1 |  | 32 | 32 | 32 | 32 | 32 | 32 | 32 | 32 | 32 | 32 | 33 | 33 | 33 | 33 | 33 | 33 | 33 |  | 33 | 50 | 79 | 82 |  | 82 | 82 | 82 | 82 | 82 | 82 | 82 | 90 | 90 | 90 | 96 | 109 | 118 | 117 | 125 | 163 | 320 | 7564 | 7948 | 7970 | 7991 | 7991 | 7991 | 8014 | 8014 | 8016 | 8041 | 8041 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8041 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8022 | 8022 | 8022 | 8021 | 7961 | 7955 | 7213 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_03 | 8502 |  | 27 | 27 | 27 | 29 | 29 | 31 | 31 | 43 | 49 | 59 | 59 | 59 | 59 | 59 | 59 | 59 | 59 |  | 59 | 60 | 65 | 65 |  | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 72 | 72 | 78 | 78 | 92 | 116 | 140 | 173 | 236 | 679 | 16238 | 17144 | 17344 | 17428 | 17428 | 17452 | 17482 | 17482 | 17482 | 17482 | 17482 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17482 | 17482 | 17482 | 17482 | 17482 | 17482 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17411 | 17320 | 16198 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_05 | 1254.6 |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 0 | 4 | 18 | 18 |  | 18 | 18 | 18 | 18 | 26 | 26 | 26 | 32 | 32 | 32 | 32 | 40 | 45 | 45 | 60 | 62 | 89 | 2379 | 2492 | 2502 | 2562 | 2594 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2557 | 2557 | 2557 | 2557 | 2446 | 2426 | 2058 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_07 | 4217.8 |  | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 64 | 72 | 78 | 78 | 78 | 78 | 78 | 78 | 78 | 78 |  | 78 | 90 | 107 | 107 |  | 107 | 113 | 113 | 113 | 113 | 119 | 119 | 117 | 117 | 117 | 120 | 120 | 132 | 140 | 172 | 212 | 410 | 7980 | 8475 | 8539 | 8553 | 8584 | 8594 | 8594 | 8594 | 8594 | 8599 | 8599 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8546 | 8546 | 8124 |
diff --git a/anvio/docs/artifacts/seeds-specific-txt.md b/anvio/docs/artifacts/seeds-specific-txt.md
deleted file mode 100644
index 27e955d483..0000000000
--- a/anvio/docs/artifacts/seeds-specific-txt.md
+++ /dev/null
@@ -1,22 +0,0 @@
-This tabular file contains data on the specific coverages of tRNA-seq seeds.
-
-Specific coverage represents reads that are assigned uniquely to a tRNA seed. See the %(trnaseq-profile-db)s artifact for a fuller explanation of specific versus nonspecific coverage. The rows and columns of this table are identical to %(seeds-non-specific-txt)s except the type of coverage data reported in each.
-
-This file is produced by %(anvi-tabulate-trnaseq)s. The artifact for that program describes this and related tables in detail.
-
-This tab-delimited file can be easily manipulated by the user. It is required input for %(anvi-plot-trnaseq)s.
-
-## Example
-
-The seeds shown in this table are also shown in the %(seeds-non-specific-txt)s example. Modifications from these seeds are shown in the %(modifications-txt)s example.
-
-| gene_callers_id | contig_name | anticodon | aa | domain | phylum | class | order | family | genus | species | taxon_percent_id | sample_name | mean_coverage | relative_mean_coverage | relative_discriminator_coverage | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 17a | 18 | 19 | 20 | 20a | 20b | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44.01 | 44.02 | 44.03 | 44.04 | 44.05 | 44.06 | 44.07 | 44.08 | 44.09 | 44.1 | 44.11 | 44.12 | 44.13 | 44.14 | 44.15 | 44.16 | 44.17 | 44.18 | 44.19 | 44.2 | 44.21 | 44.22 | 44.23 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 |
-| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
-0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_01 | 71456.2 | 0.25805309 | 0.2578848 |  | 71392 | 71398 | 71398 | 71400 | 71413 | 71414 | 71414 | 71414 | 71419 | 71425 | 71426 | 71426 | 71426 | 71437 | 71445 | 71451 | 71451 |  | 71451 | 71455 | 71457 |  |  | 71460 | 71467 | 71467 | 71471 | 71468 | 71470 | 71470 | 71470 | 71475 | 71489 | 71540 | 71534 | 71529 | 71606 | 71579 | 71582 | 71583 | 71586 | 71586 | 71583 | 71583 | 71583 | 71585 | 71584 | 71584 | 71584 | 71587 | 71587 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71586 | 71586 | 71572 | 71572 | 71570 | 71504 | 71505 | 71504 | 71503 | 71503 | 71503 | 71503 | 71503 | 71503 | 71503 | 71503 | 71502 | 71500 | 71500 | 71500 | 71497 | 71496 | 71488 | 71466 | 68324 |
-0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_03 | 87746.6 | 0.22523292 | 0.22512637 |  | 87568 | 87582 | 87588 | 87594 | 87598 | 87599 | 87596 | 87597 | 87598 | 87606 | 87608 | 87611 | 87611 | 87611 | 87612 | 87615 | 87615 |  | 87614 | 87614 | 87616 |  |  | 87617 | 87619 | 87619 | 87620 | 87620 | 87620 | 87621 | 87619 | 87620 | 87630 | 87689 | 87683 | 87694 | 87732 | 87898 | 87912 | 87921 | 87925 | 87926 | 87926 | 87926 | 87931 | 87924 | 87925 | 87929 | 87981 | 87986 | 87986 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87985 | 87985 | 87981 | 87980 | 87978 | 87952 | 87952 | 87951 | 87952 | 87954 | 87952 | 87950 | 87946 | 87946 | 87946 | 87943 | 87941 | 87939 | 87939 | 87939 | 87936 | 87935 | 87929 | 87909 | 84530 |
-0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_05 | 29533 | 0.22692849 | 0.22190602 |  | 29490 | 29494 | 29499 | 29509 | 29516 | 29516 | 29518 | 29521 | 29525 | 29528 | 29536 | 29536 | 29536 | 29538 | 29539 | 29547 | 29550 |  | 29550 | 29549 | 29553 |  |  | 29552 | 29552 | 29553 | 29552 | 29553 | 29553 | 29549 | 29550 | 29552 | 29553 | 29564 | 29561 | 29559 | 29638 | 29605 | 29602 | 29604 | 29607 | 29607 | 29607 | 29608 | 29607 | 29607 | 29607 | 29607 | 29607 | 29609 | 29609 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29609 | 29609 | 29606 | 29606 | 29605 | 29601 | 29601 | 29601 | 29601 | 29601 | 29599 | 29599 | 29599 | 29599 | 29596 | 29596 | 29597 | 29595 | 29595 | 29594 | 29593 | 29504 | 29486 | 29451 | 26980 |
-0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_07 | 47065 | 0.181019 | 0.18087983 |  | 47078 | 47087 | 47105 | 47113 | 47114 | 47114 | 47114 | 47116 | 47124 | 47127 | 47129 | 47129 | 47131 | 47133 | 47139 | 47139 | 47139 |  | 47135 | 47138 | 47141 |  |  | 47145 | 47142 | 47147 | 47145 | 47145 | 47142 | 47143 | 47135 | 47134 | 47133 | 47154 | 47125 | 47093 | 47111 | 47051 | 47058 | 47067 | 47071 | 47073 | 47072 | 47069 | 47069 | 47069 | 47072 | 47072 | 47073 | 47073 | 47074 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47074 | 47074 | 47073 | 47069 | 47069 | 47042 | 47043 | 47042 | 47038 | 47042 | 47042 | 47042 | 47042 | 47041 | 47041 | 47040 | 47040 | 47040 | 47040 | 47040 | 47033 | 47032 | 47031 | 47018 | 45352 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_01 | 142.4 | 0.00051437 | 0.00052465 |  | 141 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 |  | 142 | 142 | 142 | 142 |  | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 141 | 141 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 139 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_03 | 1006.4 | 0.00258316 | 0.00249815 |  | 1010 | 1010 | 1010 | 1010 | 1011 | 1011 | 1011 | 1011 | 1011 | 1010 | 1010 | 1010 | 1010 | 1010 | 1010 | 1010 | 1011 |  | 1011 | 1011 | 1014 | 1014 |  | 1014 | 1014 | 1014 | 1014 | 1014 | 1014 | 1014 | 1014 | 1014 | 1014 | 1014 | 1014 | 1013 | 1012 | 1012 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 998 | 998 | 938 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_05 | 297.5 | 0.00228586 | 0.00285402 |  | 225 | 227 | 227 | 227 | 227 | 227 | 225 | 228 | 228 | 230 | 230 | 230 | 230 | 230 | 230 | 230 | 230 |  | 230 | 230 | 230 | 230 |  | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 233 | 238 | 360 | 367 | 367 | 367 | 370 | 370 | 370 | 370 | 370 | 370 | 370 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 362 | 362 | 347 |
-1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_07 | 120 | 0.00046169 | 0.00046664 |  | 116 | 116 | 116 | 116 | 116 | 116 | 116 | 116 | 116 | 119 | 119 | 119 | 118 | 118 | 118 | 118 | 118 |  | 119 | 122 | 126 | 126 |  | 126 | 126 | 126 | 126 | 126 | 126 | 126 | 126 | 126 | 126 | 126 | 124 | 124 | 122 | 123 | 120 | 120 | 120 | 120 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 117 | 117 | 117 |
diff --git a/anvio/docs/artifacts/trnaseq-contigs-db.md b/anvio/docs/artifacts/trnaseq-contigs-db.md
deleted file mode 100644
index 1265505a14..0000000000
--- a/anvio/docs/artifacts/trnaseq-contigs-db.md
+++ /dev/null
@@ -1,15 +0,0 @@
-A tRNA-seq contigs database is a **%(contigs-db)s variant containing information on tRNA transcripts identified from tRNA-seq experiments**.
-
-This database is created by the program, %(anvi-merge-trnaseq)s, which is part of the %(trnaseq-workflow)s. This program also creates %(trnaseq-profile-db)ss. %(anvi-run-trna-taxonomy)s populates the tRNA-seq contigs database with taxonomic annotations.
-
-This database functions in a manner equivalent to the normal metagenomic-style contigs database. As normal contigs databases are associated with a normal %(profile-db)s containing coverage-related data, tRNA-seq contigs databases are associated with %(trnaseq-profile-db)ss. The name can be misleading: tRNA-seq contigs databases do not contain information on assembled contigs as such. Rather, the fundamental type of sequence reconstructed from a tRNA-seq experiment is a **tRNA seed**, representing a mature tRNA sequence (minus the 3'-CCA acceptor) found in one or more samples in the experiment. tRNA seeds are not predicted by assembly at all, but by the specialized software of %(anvi-trnaseq)s and %(anvi-merge-trnaseq)s.
-
-A variety of information on tRNA seeds is contained in a tRNA-seq contigs database, including structural profiles, taxonomic annotations, and user-defined bins.
-
-## Uses
-
-Tabulation of tRNA-seq data by %(anvi-tabulate-trnaseq)s requires a tRNA-seq contigs database and %(trnaseq-profile-db)s.
-
-Interactive visualization of tRNA-seq datasets in %(anvi-interactive)s requires this database and a %(trnaseq-profile-db)s.
-
-Visualization of grouped seeds by %(anvi-plot-trnaseq)s requires this database in addition to files produced by %(anvi-tabulate-trnaseq)s.
diff --git a/anvio/docs/artifacts/trnaseq-db.md b/anvio/docs/artifacts/trnaseq-db.md
index ceefc91b62..52210b5958 100644
--- a/anvio/docs/artifacts/trnaseq-db.md
+++ b/anvio/docs/artifacts/trnaseq-db.md
@@ -1,15 +1,13 @@
-A tRNA-seq database **contains information on tRNA sequences predicted from a single tRNA-seq sample**.
+A tRNA-seq database is an anvi'o database that **contains tRNA sequences predicted from a %(trnaseq-fasta)s for a sample, and associated information**.
 
-This database is the key output of **%(anvi-trnaseq)s**. That program predicts which reads are tRNA through structural profiling, clusters tRNA reads into discrete biological sequences, and predicts the positions of nucleotide modifications.
-
-The series of steps implemented in %(anvi-trnaseq)s sequentially adds the following information to the database.
+This database is the key output of **%(anvi-trnaseq)s**, which predicts which input sequences are tRNA, clusters them into discrete biological sequences, and predicts positions in the sequences that are the sites of nucleotide modifications. The database therefore contains tables of information produced by each part of the process.
 
 * Unique sequences predicted to be tRNA, including read counts
-* Primary sequence and secondary structural features (stems and loops) predicted in each profiled tRNA
+* Primary sequence and secondary structural features (stems and loops) predicted in each unique tRNA
 * Unconserved nucleotides in the primary sequence that differ from expectation
 * Unpaired nucleotides in the stems
-* "Trimmed" tRNA sequences, formed from unique sequences only differing by 3' nucleotides of the CCA acceptor region and 5' nucleotides beyond the acceptor stem
-* "Normalized" tRNA sequences, formed by dereplicating trimmed tRNA sequences that are 3' fragments from incomplete reverse transcription and by mapping biological 5' and interior tRNA fragments
-* Potentially modified tRNA sequences, formed by clustering normalized tRNA sequences and retaining those clusters that differ by 3-4 nucleotides at aligned positions
+* "Trimmed" tRNA sequences, formed from unique sequences only differing by 5' nucleotides beyond the acceptor stem and 3' nucleotides of the CCA acceptor region
+* "Normalized" tRNA sequences, formed by dereplicating trimmed tRNA sequences that are 3' fragments produced by incomplete reverse transcription and by mapping biological tRNA fragments
+* Potentially modified tRNA sequences, formed by clustering normalized tRNA sequences and retaining those clusters that differ by 3-4 nucleotides at potentially modified positions
 
-This database is the key input to **%(anvi-merge-trnaseq)s**, which takes one or more databases comprising the samples in an experiment and generates a %(trnaseq-contigs-db)s of tRNA seed sequences and %(trnaseq-profile-db)ss. These tRNA-seq variant contigs and profile databases can then be manipulated and displayed in anvi'o like normal %(contigs-db)ss and %(profile-db)ss.
+This database is the key input to **%(anvi-convert-trnaseq-database)s**, which takes one or more databases comprising the samples of an experiment and generates a %(contigs-db)s of tRNA seed sequences and %(profile-db)s. These can then be displayed and manipulated in anvi'o like other 'omics data.
\ No newline at end of file
diff --git a/anvio/docs/artifacts/trnaseq-profile-db.md b/anvio/docs/artifacts/trnaseq-profile-db.md
deleted file mode 100644
index 87f791dbe7..0000000000
--- a/anvio/docs/artifacts/trnaseq-profile-db.md
+++ /dev/null
@@ -1,19 +0,0 @@
-A tRNA-seq profile database is a **%(profile-db)s variant containing tRNA seed coverage information from one or more samples**.
-
-This database is created by the program, %(anvi-merge-trnaseq)s, which is part of the %(trnaseq-workflow)s. This program also creates a %(trnaseq-contigs-db)s.
-
-## Specific and nonspecific coverage
-
-The coverage of tRNA seeds by tRNA-seq reads is determined differently than the coverage of contigs by metagenomic reads. Metagenomic contigs are constructed by an assembly tool and reads are assigned to contigs by a mapping tool. Reads that map to multiple contigs are randomly assigned to one contig. tRNA-seq seeds and coverages are found simultaneously by %(anvi-trnaseq)s and %(anvi-merge-trnaseq)s. Two types of coverage are tracked: **specific** coverage of reads unique to seeds and **nonspecific** coverage of reads in multiple seeds. tRNA-seq reads are often short fragments found in numerous tRNAs; random assignment of these reads would distort tRNA abundances and coverage patterns.
-
-Separate tRNA-seq profile databases are produced for specific and nonspecific coverages. A "combined" database containing both sets of data is produced by default for convenience, allowing specific and nonspecific coverages to be compared side-by-side in the %(anvi-interactive)s interface. A "summed" database of specific + nonspecific coverage can optionally be produced. The `--nonspecific-output` option of %(anvi-merge-trnaseq)s controls the production of nonspecific, combined, and summed databases.
-
-## Modifications versus SNVs
-
-The other significant difference between a tRNA-seq profile database and a normal %(profile-db)s is that variable nucleotides are restricted to tRNA modification positions predicted from mutation signatures. Single nucleotide variants are purposefully excluded, though they can be mistaken for modifications, especially with permissive parameterization of %(anvi-merge-trnaseq)s (see that artifact for more information).
-
-## Uses
-
-Tabulation of tRNA-seq data by %(anvi-tabulate-trnaseq)s takes a specific and optionally nonspecific profile database in addition to a %(trnaseq-contigs-db)s.
-
-Interactive visualization of tRNA-seq data in %(anvi-interactive)s requires a specific, nonspecific, combined, or summed profile database in addition to a %(trnaseq-contigs-db)s.
diff --git a/anvio/docs/artifacts/trnaseq-workflow.md b/anvio/docs/artifacts/trnaseq-workflow.md
deleted file mode 100644
index df8b0e98e0..0000000000
--- a/anvio/docs/artifacts/trnaseq-workflow.md
+++ /dev/null
@@ -1,45 +0,0 @@
-The tRNA-seq workflow **is a [Snakemake](https://snakemake.readthedocs.io/en/stable/) workflow run by the anvi'o script, %(anvi-run-workflow)s**.
-
-The workflow can run the following programs in order.
-- [Illumina-utils](https://github.com/merenlab/illumina-utils), for merging paired-end reads and quality control
-- %(anvi-script-reformat-fasta)s, for making FASTA deflines anvio-compliant
-- %(anvi-trnaseq)s, for predicting tRNA sequences, structures, and modification sites in each sample
-- %(anvi-merge-trnaseq)s, for predicting tRNA seed sequences and their modification sites from the set of samples
-- %(anvi-run-trna-taxonomy)s, for assigning taxonomy to tRNA seeds
-- %(anvi-tabulate-trnaseq)s, for generating tables of seed and modification information that are easily manipulated
-
-## Input
-
-The tRNA-seq workflow requires two files to run: a json-formatted config file and %(samples-txt)s. Generate the default config file, here called `config.json`, with the following command.
-
-{{ codestart }}
-anvi-run-workflow -w trnaseq --get-default-config config.json
-{{ codestop }}
-
-Different "rules," or steps, of the workflow can be turned on and off as needed in the config file. The workflow can be restarted at intermediate rules without rerunning prior rules that have already completed.
-
-%(samples-txt)s will contain a list of FASTQ or FASTA files and associated information on each library. FASTQ files contain unmerged paired-end tRNA-seq reads. Reads are merged in the workflow by [Illumina-utils](https://github.com/merenlab/illumina-utils). FASTA files contain merged reads, and the initial read-merging steps in the workflow are skipped.
-
-Here is an example tRNA-seq samples file with FASTQ inputs.
-
-| sample | treatment | r1 | r2 | r1_prefix | r2_prefix |
-| --- | --- | --- | --- | --- | --- |
-| ecoli_A1_noDM | untreated | FASTQ/ecoli_A1_noDM.r1.fq.gz | FASTQ/ecoli_A1_noDM.r2.fq.gz | NNNNNN | TTCCAGT |
-| ecoli_A1_DM | demethylase | FASTQ/ecoli_A1_DM.r1.fq.gz | FASTQ/ecoli_A1_DM.r2.fq.gz | NNNNNN | TCTGAGT |
-| ecoli_B1_noDM | untreated | FASTQ/ecoli_B1_noDM.r1.fq.gz | FASTQ/ecoli_B1_noDM.r2.fq.gz | NNNNNN | TGGTAGT |
-| ecoli_B1_DM | demethylase | FASTQ/ecoli_B1_DM.r1.fq.gz | FASTQ/ecoli_B1_DM.r2.fq.gz | NNNNNN | CTGAAGT |
-
-The treatment column is optional. The treatment indicates a chemical application, such as demethylase, and can be used to have a bearing on seed sequence determination in %(anvi-merge-trnaseq)s. In the absence of a treatment column, all samples are assigned the same treatment, which can be specified in the `anvi_trnaseq` section of the workflow config file and defaults to `untreated`.
-
-Read 1 and 2 prefix columns are also optional. These represent sequences that Illumina-utils should identify and trim from the start of the read. In the example, the read 1 prefix is a unique molecular identifier (UMI) of 6 random nucleotides, and the read 2 prefix is a sample barcode. Illumina-utils will discard the paired-end read if the prefix is not found. In the example, the read 1 UMI will always be found, but the read 2 barcode must match exactly.
-
-Here is an equivalent tRNA-seq samples file with FASTA inputs.
-
-| sample | treatment | fasta |
-| --- | --- | --- |
-| ecoli_A1_noDM | untreated | FASTA/ecoli_A1_noDM.fa.gz |
-| ecoli_A1_DM | demethylase | FASTA/ecoli_A1_DM.fa.gz |
-| ecoli_B1_noDM | untreated | FASTA/ecoli_B1_noDM.fa.gz |
-| ecoli_B1_DM | demethylase | FASTA/ecoli_B1_DM.fa.gz |
-
-Note that barcodes and other sequence prefixes should already be trimmed from FASTA sequences.
diff --git a/anvio/docs/artifacts/user-metabolism.md b/anvio/docs/artifacts/user-metabolism.md
deleted file mode 100644
index 6938afafd7..0000000000
--- a/anvio/docs/artifacts/user-metabolism.md
+++ /dev/null
@@ -1,15 +0,0 @@
-Output text files produced by %(anvi-estimate-metabolism)s that describe the presence of **user-defined metabolic pathways** in a %(contigs-db)s.
-
-These files are exactly the same format as those described by %(kegg-metabolism)s, but in addition to (or instead of) information on KEGG modules and KEGG Orthologs, they contain information on user-defined metabolic pathways" (and their component enzymes), as described in %(user-modules-data)s.
-
-## How to get to this output?
-
-You should first read the page on %(user-modules-data)s to learn how to define and set up your own metabolic pathways for use in anvi'o. The program that generates this output is %(anvi-estimate-metabolism)s, and you should run that program with the `--user-modules` parameter to make sure the resulting text files contains the information on your user-defined metabolic pathways. There are two main ways to do it (which are also described on the %(anvi-estimate-metabolism)s help page):
-
-1. To get files describing user-defined metabolic modules _in addition to_ KEGG modules, just use the `--user-modules` parameter.
-
-2. To get files describing _only_ user-defined metabolic modules (instead of KEGG stuff), use both `--user-modules` and `--only-user-modules` parameters.
-
-## What do these files look like?
-
-Check out the %(kegg-metabolism)s page for a comprehensive description of the file formats and various options to customize them. The examples on that page show KEGG data, but the format is the same for user-defined data.
diff --git a/anvio/docs/artifacts/user-modules-data.md b/anvio/docs/artifacts/user-modules-data.md
deleted file mode 100644
index e6cb630b6b..0000000000
--- a/anvio/docs/artifacts/user-modules-data.md
+++ /dev/null
@@ -1,148 +0,0 @@
-A directory of **user-defined metabolism data**, created by the user for estimating metabolism on custom metabolic pathways. The program %(anvi-setup-user-modules)s takes this directory as input and creates a %(modules-db)s out of the data within, for use by %(anvi-estimate-metabolism)s.
-
-Instructions for creating this data directory and using it to estimate completeness of custom (ie, non-KEGG) metabolic pathways can be found below.
-
-## A step-by-step guide to creating your own metabolic modules for anvi-estimate-metabolism
-
-If you want to define your own metabolic pathway so that you can estimate its completeness in genomes, MAGs, and metagenomes, follow the steps below!
-
-### 1. Find the enzymes
-
-What you need first is a list of enzyme accession numbers. For each reaction in your metabolic pathway, figure out what enzyme(s) or enzyme complexes (if any) are required to catalyze the reaction. Then, for each of these enzymes and/or components of enzyme complexes, figure out if they are present in common databases like [NCBI COG](https://www.ncbi.nlm.nih.gov/research/cog), [KEGG KOfam](https://www.genome.jp/tools/kofamkoala/), or [PFAM](http://pfam.xfam.org/). If so, mark down their accession numbers in those databases. If not, you may need to create your own HMM profile for the enzyme (and create an accession number for it).
-
-Also, think about how you will annotate each enzyme, because for each one you will need to write down its functional annotation source in the module file in step 3. Here is a short guide to common annotation sources:
-
-Enzyme comes from... | annotation program | ANNOTATION_SOURCE
-|:---|:---|:---|
-KEGG KOfam | %(anvi-run-kegg-kofams)s | Kofam
-NCBI COG (2020) | %(anvi-run-ncbi-cogs)s | COG20_FUNCTION
-NCBI COG (2014) | %(anvi-run-ncbi-cogs)s | COG14_FUNCTION
-PFAM | %(anvi-run-pfams)s | Pfam
-custom HMMs | %(anvi-run-hmms)s with `--hmm-source` and `--add-to-functions-table` parameters | name of directory given to `--hmm-source`
-other annotation strategy | %(anvi-import-functions)s | source defined in input file
-
-### 2. Define the module
-
-You need to write a DEFINITION string for the module. This string should be in the style of KEGG MODULE definitions, which are described [here](https://merenlab.org/software/anvio/help/main/programs/anvi-estimate-metabolism/#what-data-is-used-for-estimation). Briefly, you will put the enzyme accessions in order of their corresponding reactions in the metabolic pathway. Different steps (reactions) in the pathway should be separated by spaces, and alternative enzymes that can catalyze the same reaction should be separated by commas. You can use parentheses to distinguish alternatives with multiple steps. For enzyme complexes, all components should be in one string, with essential components separated by '+' signs and non-essential components separated by '-' signs.
-
-### 3. Write a module file
-
-Put all the information about your metabolic pathway into a text file. The file format and types of information you need to include are discussed [here](https://merenlab.org/software/anvio/help/main/programs/anvi-setup-user-modules/#how-do-i-format-the-module-files). At minimum, you need to pick an identifier (ENTRY) and NAME for the module, include your DEFINITION string from step 2, write an ORTHOLOGY line and an ANNOTATION_SOURCE line for each enzyme and/or enzyme component, and write a CLASS string to categorize your module into its class/category/subcategory. The module file should be given the same name as the identifier in the ENTRY line, and this identifier should not be the same as any module in the KEGG database.
-
-### 4. Set up the USER_MODULES.db
-
-Once you have created a module file for each metabolic pathway you are interested in, you should put these files within a folder called `modules`, within a parent directory (that can have any name you choose), as described [here](https://merenlab.org/software/anvio/help/main/programs/anvi-setup-user-modules/#input-directory-format). This parent directory is the %(user-modules-data)s directory. Then you should run the program %(anvi-setup-user-modules)s and provide this directory to the `--user-modules` parameter. If all goes well, you will end up with a database called `USER_MODULES.db` in this folder.
-
-### 5. Annotate your contigs database(s)
-
-Before you can estimate metabolism, you will need to annotate your contigs database(s) with each annotation source that you used to define your modules. This will require running one or more annotation programs, as described in the table given for step 1 above. If you want to quickly remind yourself of which annotation sources are required for your metabolic modules, you can run %(anvi-db-info)s on the `USER_MODULES.db`. But don't worry - if you forget one, you will get a helpful error message telling you what you missed when you try to run %(anvi-estimate-metabolism)s.
-
-Since estimation will be run on KEGG data, too, you will have to make sure you also run %(anvi-run-kegg-kofams)s on your database(s), if you haven't already, _UNLESS_ you are choosing to skip KEGG estimation by using the `--only-user-modules` parameter for %(anvi-estimate-metabolism)s.
-
-### 6. Estimate the completeness of your pathways
-
-The last step is to run %(anvi-estimate-metabolism)s and provide this directory to the `--user-modules` parameter. This program will estimate the completeness of the metabolic modules defined in the `USER_MODULES.db` (by default, this will be in addition to the KEGG modules from the %(kegg-data)s directory. But, as mentioned above, you can specify `--only-user-modules` to only estimate on your own data).
-
-## A toy example
-
-For this example, we will be creating a completely FAKE, biologically-nonsensical Frankenstein of a metabolic pathway. This is not anything you should be putting in your own `USER_MODULES.db`; it only exists for demonstrating the steps above, and particularly so you have a reference for how to handle the different annotation sources mentioned in step 1.
-
-First, let's select 5 different enzymes. Typically at this step you would use your biological knowledge of a real metabolic pathway to determine the specific set of enzymes catalyzing the reactions of the pathway - but for this toy example, we're going to use random enzymes that come from a variety of annotation sources, not enzymes that actually work together biologically in a real cell. So we'll go with a couple of KOfams, a COG, a PFAM, and a TIGRFAM (to demonstrate the 'other' annotation strategy). Here is the list of accessions: K01657, K01658, COG1362, PF06603.14, and TIGR01709.2.
-
-It doesn't matter what they are or what they do. What matters is that we will learn how to annotate each one. So let's talk about their annotation sources. K01657 and K01658 will both come from `KOfam`, and COG1362 will come from the 2020 distribution of the COGs database, so its source will be `COG20_FUNCTION`. PF06603.14 is a PFAM, so it _could_ come from the `Pfam` source. But let's suppose we don't want to waste our precious computational resources on running %(anvi-run-pfams)s when we are only interested in one enzyme from this database. Instead, we'll make a custom HMM profile for this particular enzyme by following the directions on [creating HMM sources from ad hoc PFAM accessions](https://merenlab.org/software/anvio/help/main/artifacts/hmm-source/#creating-anvio-hmm-sources-from-ad-hoc-pfam-accessions), and then we will annotate it using %(anvi-run-hmms)s. In this case, the annotation source will be the name of the directory we make using %(anvi-script-pfam-accessions-to-hmms-directory)s, so we need to pick a name for it - let's call it `METABOLISM_HMM`. Last but not least, what about the TIGRFAM enzyme TIGR01709.2? Anvi'o doesn't have a program for annotating TIGRFAMs, but we can annotate our gene sequences with TIGRFAM using [Interproscan](https://www.ebi.ac.uk/interpro/search/sequence/), compile the results into a %(functions-txt)s, and import those annotations into our contigs database using %(anvi-import-functions)s. We'll put the source `TIGRFAM` in the %(functions-txt)s file.
-
-Great, so now that we have our enzymes and we know how we will annotate them, it's time for step 2 - creating the module DEFINITION string. Again, this is not going to be a biologically-realistic metabolic pathway, but an example to demonstrate the different ways of representing steps in a pathway.
-
-Let's say the first reaction in our pathway is catalyzed by an enzyme complex made up of two essential components, K01657 and K01658. We represent this step by the string "K01657+K01658" (no spaces between the components). Suppose the next part of the pathway can _either_ be one reaction catalyzed by the enzyme PF06603.14, _or_ it can be a two-step reaction in which the first reaction is catalyzed by COG1362 and the second is catalyzed by TIGR01709.2. We use a comma to separate the alternatives, and since the second option requires two different steps (that will be separated by a space), we surround the second option with parentheses to make sure both steps are considered as the alternative. It looks like this: "PF06603.14,(COG1362 TIGR01709.2)".
-
-So our full module DEFINITION string is "K01657+K01658 PF06603.14,(COG1362 TIGR01709.2)".
-
-Now we need to put this information into a module file. We'll give the module the identifier `UD0042` (UD for 'user-defined', and 42 because 42 is the answer to life, the universe, and everything), and this will also be the name of the file.
-
-Here is the module file. Any information that we didn't discuss above has been filled in to demonstrate the formatting requirements:
-```
-ENTRY       UD0042
-NAME        Frankenstein pathway for demo purposes
-DEFINITION  K01657+K01658 PF06603.14,(COG1362 TIGR01709.2)
-ORTHOLOGY   K01657  anthranilate synthase component I [EC:4.1.3.27]
-            K01658  anthranilate synthase component II [EC:4.1.3.27]
-            PF06603.14  UpxZ
-            COG1362  Aspartyl aminopeptidase
-            TIGR01709.2  type II secretion system protein GspL
-CLASS       User modules; Demo set; Frankenstein metabolism
-ANNOTATION_SOURCE  K01657  KOfam
-                    K01658  KOfam
-                    PF06603.14  METABOLISM_HMM
-                    COG1362  COG20_FUNCTION
-                    TIGR01709.2  TIGRFAM
-///
-```
-
-If you were actually going to use this pathway, this is how you could create the %(user-modules-data)s directory and then the `USER_MODULES.db`:
-
-{{ codestart }}
-mkdir USER_METABOLISM
-mkdir USER_METABOLISM/modules
-vi USER_METABOLISM/modules/UD0042
-\#copy the above into this file, save and quit
-anvi-setup-user-modules --user-modules USER_METABOLISM/
-{{ codestop }}
-
-You would see the following output after %(anvi-setup-user-modules)s completed:
-```
-Modules database .............................: A new database, USER_METABOLISM/USER_MODULES.db, has been created.
-Number of modules ............................: 1
-Number of entries ............................: 14
-Number of parsing errors (corrected) .........: 0
-Number of parsing errors (uncorrected) .......: 0
-Annotation sources required for estimation ...: COG20_FUNCTION, METABOLISM_HMM, KOfam, TIGRFAM
-```
-As expected, if we want to use this modules database for estimating completeness of our Frankenstein pathway, we would need to annotate our %(contigs-db)s of interest with the four annotation sources we discussed above. And that, in fact, is the next step.
-
-The first two annotation sources we discussed are easy, because we don't need to do anything besides run the designated anvi'o program for KEGG KOfams and NCBI COGs, respectively:
-
-{{ codestart }}
-%(anvi-run-kegg-kofams)s -c CONTIGS.db \
-                      --num-threads 4
-%(anvi-run-ncbi-cogs)s -c CONTIGS.db \
-                    --num-threads 4
-{{ codestop }}
-
-Annotating PF06603.14 requires an extra step, because we first need to create a custom HMM for this enzyme. Luckily, there is another anvi'o program to do that. We give the enzyme accession to %(anvi-script-pfam-accessions-to-hmms-directory)s, and we make sure to set the output directory name to be the same as the annotation source string that we put in the module file:
-
-{{ codestart }}
-%(anvi-script-pfam-accessions-to-hmms-directory)s --pfam-accessions-list PF06603.14 \
-                                               -O METABOLISM_HMM
-%(anvi-run-hmms)s -c CONTIGS.db \
-               -H METABOLISM_HMM \
-               --add-to-functions-table \
-               --num-threads 4
-{{ codestop }}
-
-Please note that you _must_ use the `--add-to-functions-table` parameter when you use %(anvi-run-hmms)s, otherwise the annotations for PF06603.14 will not be stored in the proper database table and %(anvi-estimate-metabolism)s will not be able to find them later. Also, if you use the %(anvi-script-pfam-accessions-to-hmms-directory)s program to create your custom HMM profiles, you should make sure that the accessions in the resulting `genes.txt` file are matching to the corresponding enzyme accessions in the module file, because those are the accessions that will be put into your contigs database.
-
-Finally, to annotate TIGR01709.2 we need to take our (hypothetical) Interproscan results and convert them into a %(functions-txt)s file. You can visit that page for a lengthier discussion of the file format, but let's say the TIGR01709.2 annotations in that file looked like this:
-
-|gene_callers_id|source|accession|function|e_value|
-|:--|:--:|:--:|:--|:--:|
-|7|TIGRFAM|TIGR01709.2|type II secretion system protein GspL|1.5e-75|
-|23|TIGRFAM|TIGR01709.2|type II secretion system protein GspL|3.4e-20|
-
-The things that are especially critical here is that the `accession` matches to the accession in the module DEFINITION, ORTHOLOGY, and ANNOTATION_SOURCE lines, and that the `source` matches to the source string in the module ANNOTATION_SOURCE line(s).
-
-Suppose the file is called `TIGRFAM_annotations.txt`. Then you can import those annotations, like so:
-
-{{ codestart }}
-%(anvi-import-functions)s -c CONTIGS.db \
-                       -i TIGRFAM_annotations.txt
-{{ codestop }}
-
-Once this is done, you are ready to estimate the pathway's completeness! Here is the command:
-
-{{ codestart }}
-%(anvi-estimate-metabolism)s -c CONTIGS.db \
-                          --user-modules USER_METABOLISM/ \
-                          -O frankenstein
-{{ codestop }}
-
-If you did this, the results for module UD0042 would appear at the end of the resulting 'modules' output file, after the estimation results for KEGG modules.
diff --git a/anvio/docs/images/png/anvi-get-tlen-dist-from-bam.png b/anvio/docs/images/png/anvi-get-tlen-dist-from-bam.png
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@@ -1,35 +1,37 @@
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U)T6mbfe-%-^-Sq$y3C;e1KY9#EdT%j

diff --git a/anvio/docs/programs/anvi-analyze-synteny.md b/anvio/docs/programs/anvi-analyze-synteny.md
index 77e2f3a978..94ac6abb2b 100644
--- a/anvio/docs/programs/anvi-analyze-synteny.md
+++ b/anvio/docs/programs/anvi-analyze-synteny.md
@@ -59,33 +59,36 @@ anvi-analyze-synteny -g %(genomes-storage-db)s \
 
 If you are following the anvi'o master branch on your computer, you can create a test case for this program.
 
-First, go to any work dirctory, and run the following commands:
+First, go to your source code directory. Then run the following commands:
 
 ``` bash
-anvi-self-test --suite metagenomics-full \
-               --output-dir TEST-OUTPUT
+cd anvio/anvio/tests
+./run_all_tests.sh
+
+# set output dir
+output_dir=sandbox/test-output
 
 # make a external-genomesfile
-echo -e "name\tcontigs_db_path\ng01\tTEST-OUTPUT/01.db\ng02\tTEST-OUTPUT/02.db\ng03\tTEST-OUTPUT/03.db" > TEST-OUTPUT/external-genomes-file.txt
+echo -e "name\tcontigs_db_path\ng01\t$output_dir/01.db\ng02\t$output_dir/02.db\ng03\t$output_dir/03.db" > $output_dir/external-genomes-file.txt
 ```
 
 Run one or more alternative scenarios and check output files:
 
 ```
-anvi-analyze-synteny -e TEST-OUTPUT/external-genomes-file.txt \
+anvi-analyze-synteny -e $output_dir/external-genomes-file.txt \
                      --annotation-source COG_FUNCTION \
                      --window-range 2:3 \
-                     -o TEST-OUTPUT/synteny_output_no_unknowns.tsv
+                     -o $output_dir/synteny_output_no_unknowns.tsv
 
-anvi-analyze-synteny -e TEST-OUTPUT/external-genomes-file.txt \
+anvi-analyze-synteny -e $output_dir/external-genomes-file.txt \
                      --annotation-source COG_FUNCTION \
                      --window-range 2:3 \
-                     -o TEST-OUTPUT/synteny_output_with_unknowns.tsv \
+                     -o $output_dir/synteny_output_with_unknowns.tsv \
                      --analyze-unknown-functions
 
-anvi-analyze-synteny -e TEST-OUTPUT/external-genomes-cps.txt \
+anvi-analyze-synteny -e $output_dir/external-genomes-cps.txt \
                      --annotation-source COG_FUNCTION \
                      --window-range 2:3 \
-                     -o TEST-OUTPUT/tsv.txt \
+                     -o $output_dir/tsv.txt \
                      --analyze-unknown-functions
 ```
diff --git a/anvio/docs/programs/anvi-compute-metabolic-enrichment.md b/anvio/docs/programs/anvi-compute-metabolic-enrichment.md
index 385f9a1dc9..3d2e405a04 100644
--- a/anvio/docs/programs/anvi-compute-metabolic-enrichment.md
+++ b/anvio/docs/programs/anvi-compute-metabolic-enrichment.md
@@ -18,7 +18,7 @@ The script `anvi-script-enrichment-stats` was implemented by [Amy Willis](https:
 
 ### Basic usage
 
-See %(kegg-metabolism)s or %(user-metabolism)s for more information on how to generate a "modules" mode output format from %(anvi-estimate-metabolism)s. Please note that the genome names in the modules file must match those that you will mention in the %(groups-txt)s file.
+See %(kegg-metabolism)s for more information on how to generate a "modules" mode output format from %(anvi-estimate-metabolism)s. Please note that the genome names in the modules file must match those that you will mention in the %(groups-txt)s file.
 
 {{ codestart }}
 anvi-compute-metabolic-enrichment -M MODULES.TXT \
diff --git a/anvio/docs/programs/anvi-convert-trnaseq-database.md b/anvio/docs/programs/anvi-convert-trnaseq-database.md
new file mode 100644
index 0000000000..c9bfba659a
--- /dev/null
+++ b/anvio/docs/programs/anvi-convert-trnaseq-database.md
@@ -0,0 +1,23 @@
+This program converts one or more %(trnaseq-db)ss into a %(contigs-db)s and %(profile-db)s, forming tRNA seed sequences in the process.
+
+After %(anvi-trnaseq)s is run on a set of samples (or sample splits) from an experiment, the resulting sample databases are analyzed by this program. The %(contigs-db)s and %(profile-db)s generated by this program can be displayed and analyzed like other 'omics data in anvi'o.
+
+As with %(anvi-trnaseq)s, we encourage you to read through the options in the `anvi-convert-trnaseq-database --help` menu, since the various analyses occurring within this program can be manipulated by the user. Most of the heavy lifting occurred in %(anvi-trnaseq)s, meaning that `anvi-convert-trnaseq-database` can easily be run multiple times in a matter of minutes to find, for example, the appropriate number of tRNA seed sequences to display (by adjusting `--max-reported-trna-seeds`) and the necessary coverage cutoffs to isolate positions with modified nucleotides from unfiltered single nucleotide variants (by adjusting `--min-third-fourth-nt`).
+
+
+### Convert two samples
+
+{{ codestart }}
+anvi-convert-trnaseq-database example_trnaseq_database_1 example_trnaseq_database_2 \
+                              -o example_empty_output_directory_path
+                              -n example_project_name
+{{ codestop }}
+
+### Convert two sample splits, assigning priority to the demethylase split in calling the underlying nucleotide at modified positions
+
+{{ codestart }}
+anvi-convert-trnaseq-database example_untreated_trnaseq_database example_demethylase_trnaseq_database \
+                              -o example_empty_output_directory_path
+                              -n example_project_name
+                              --preferred-treatment demethylase
+{{ codestop }}
diff --git a/anvio/docs/programs/anvi-display-functions.md b/anvio/docs/programs/anvi-display-functions.md
old mode 100644
new mode 100755
diff --git a/anvio/docs/programs/anvi-display-structure.md b/anvio/docs/programs/anvi-display-structure.md
old mode 100644
new mode 100755
diff --git a/anvio/docs/programs/anvi-estimate-metabolism.md b/anvio/docs/programs/anvi-estimate-metabolism.md
index 0350fb40c4..a5fe0b1a92 100644
--- a/anvio/docs/programs/anvi-estimate-metabolism.md
+++ b/anvio/docs/programs/anvi-estimate-metabolism.md
@@ -1,34 +1,19 @@
-%(anvi-estimate-metabolism)s predicts the metabolic capabilities of organisms based on their genetic content. It relies upon %(kegg-functions)s and metabolism information from [KEGG](https://www.genome.jp/kegg/) (%(kegg-data)s), which is stored in a %(modules-db)s. It can also use user-defined metabolic pathways, as described in %(user-modules-data)s.
+%(anvi-estimate-metabolism)s predicts the metabolic capabilities of organisms based on their genetic content. It relies upon %(kegg-functions)s and metabolism information from [KEGG](https://www.genome.jp/kegg/) (%(kegg-data)s), which is stored in a %(modules-db)s.
 
-The metabolic pathways that this program considers (by default) are those defined by KEGG Orthologs (KOs) in the [KEGG MODULE resource](https://www.genome.jp/kegg/module.html). Each KO represents a gene function, and a KEGG module is a set of KOs that collectively carry out the steps in a metabolic pathway.
+The metabolic pathways that this program currently considers are those defined by KEGG Orthologs (KOs) in the [KEGG MODULE resource](https://www.genome.jp/kegg/module.html). Each KO represents a gene function, and a KEGG module is a set of KOs that collectively carry out the steps in a metabolic pathway.
 
-Alternatively or additionally, you can define your own set of metabolic modules and estimate their completeness with this program. Detailed instructions for doing this can be found by looking at the %(user-modules-data)s and  %(anvi-setup-user-modules)s pages.
-
-Given a properly annotated %(contigs-db)s, this program determines which enzymes are present and uses these functions to compute the completeness of each metabolic module. The output is one or more tabular text files - see %(kegg-metabolism)s for the output description and examples.
+Given a properly annotated %(contigs-db)s, this program determines which KOs are present and uses these functions to compute the completeness of each KEGG module. The output is one or more tabular text files - see %(kegg-metabolism)s for the output description and examples.
 
 For a practical tutorial on how to use this program, visit [this link](https://merenlab.org/tutorials/infant-gut/#chapter-v-metabolism-prediction). A more abstract discussion of available parameters, as well as technical details about how the metabolism estimation is done, can be found below.
 
-## What metabolism data can I use?
-
-You have three options when it comes to estimating metabolism.
-
-1. KEGG only (this is the default). In this case, estimation will be run on modules from the KEGG MODULES database, which you must set up on your computer using %(anvi-setup-kegg-kofams)s. If you have a default setup of KEGG, you need not provide any parameters to choose this option. However, if you have your KEGG data in a non-default location on your computer, you will have to use the `--kegg-data-dir` parameter to point out its location.
-2. KEGG + USER data. In this case, we estimate on KEGG modules as in (1), but _also_ on user-defined metabolic modules that you set up with %(anvi-setup-user-modules)s and provide to this program with the `--user-modules` parameter.
-3. USER data only. You can elect to skip estimation on KEGG modules and _only_ run on your own data by providing both the `--user-modules` and `--only-user-modules` parameters.
-
 ## Prerequisites to using this program
 
-Metabolism estimation relies on gene annotations from the functional annotation source 'KOfam', also referred to as %(kegg-functions)s. Therefore, for this to work, you need to have annotated your %(contigs-db)s with hits to the KEGG KOfam database by running %(anvi-run-kegg-kofams)s prior to using this program, unless you are using the `--only-user-modules` option to ONLY estimate on user-defined metabolic modules.
+Metabolism estimation relies on gene annotations from the functional annotation source 'KOfam', also referred to as %(kegg-functions)s. Therefore, for this to work, you need to have annotated your %(contigs-db)s with hits to the KEGG KOfam database by running %(anvi-run-kegg-kofams)s prior to using this program.
 
 Both %(anvi-run-kegg-kofams)s and %(anvi-estimate-metabolism)s rely on the %(kegg-data)s provided by %(anvi-setup-kegg-kofams)s, so if you do not already have that data on your computer, %(anvi-setup-kegg-kofams)s needs to be run first. To summarize, these are the steps that need to be done before you can use %(anvi-estimate-metabolism)s:
 
 1. Run %(anvi-setup-kegg-kofams)s to get data from KEGG onto your computer. This step only needs to be done once.
-2. [If not using `--only-user-modules`] Run %(anvi-run-kegg-kofams)s to annotate your %(contigs-db)s with %(kegg-functions)s. This program must be run on each contigs database that you want to estimate metabolism for.
-
-If you want to estimate for your own metabolism data, then you have a couple of extra steps to go through:
-
-3. Define your own metabolic modules by following the formatting guidelines described [here](https://merenlab.org/software/anvio/help/main/programs/anvi-setup-user-modules/#how-do-i-format-the-module-files) and [here](https://merenlab.org/software/anvio/help/main/artifacts/user-modules-data/#a-step-by-step-guide-to-creating), and then run %(anvi-setup-user-modules)s to parse them into a %(modules-db)s,
-4. Annotate your %(contigs-db)s with the functional annotation sources that are required for your module definitions. This may require running a few different programs. For instance, if your modules are defined in terms of NCBI COGS (ie, the `COG20_FUNCTION` annotation source), you will need to run %(anvi-run-ncbi-cogs)s. If you are using a set of custom HMMs, you will need to run %(anvi-run-hmms)s on that set using the `--add-to-functions-table` parameter. If you already have annotations from one or more of these sources, you could also import them into the contigs database using the program %(anvi-import-functions)s.
+2. Run %(anvi-run-kegg-kofams)s to annotate your %(contigs-db)s with %(kegg-functions)s. This program must be run on each contigs database that you want to estimate metabolism for.
 
 ## Running metabolism estimation
 
@@ -38,10 +23,7 @@ You can run metabolism estimation on any set of annotated sequences, but these s
 - Bins, also referred to as %(internal-genomes)s. These often represent metagenome-assembled genomes, but generally can be any subset of sequences within a database. A single %(contigs-db)s can contain multiple bins.
 - Assembled, unbinned metagenomes. There is no distinction between sequences that belong to different microbial populations in the %(contigs-db)s for an unbinned metagenome.
 
-As you can see, %(anvi-estimate-metabolism)s takes one or more contigs database(s) as input, but the information that is taken from those databases depends on the context (ie, genome, metagenome, bin). In the case of internal genomes (or bins), is possible to have multiple inputs but only one input contigs db. So for clarity's sake, we sometimes refer to the inputs as 'samples' in the descriptions below. If you are getting confused, just try to remember that a 'sample' can be a genome, a metagenome, or a bin.
-
-If you don't have any sequences, there is an additional input option for you:
-- A list of enzymes, as described in an %(enzymes-txt)s file. For the purposes of metabolism estimation, the enzymes in this file will be interpreted as all coming from the same 'genome'.
+As you can see, %(anvi-estimate-metabolism)s always takes one or more contigs database(s) as input, but the information that is taken from those databases depends on the context (ie, genome, metagenome, bin). In the case of internal genomes (or bins), is possible to have multiple inputs but only one input contigs db. So for clarity's sake, we sometimes refer to the inputs as 'samples' in the descriptions below. If you are getting confused, just try to remember that a 'sample' can be a genome, a metagenome, or a bin.
 
 Different input contexts can require different parameters or additional inputs. The following sections describe what is necessary for each input type.
 
@@ -95,18 +77,7 @@ anvi-estimate-metabolism -c %(contigs-db)s --metagenome-mode
 {{ codestop }}
 
 {: .notice}
-In metagenome mode, this program will estimate metabolism for each contig in the metagenome separately. This will tend to underestimate module completeness because it is likely that many modules will be broken up across multiple contigs belonging to the same population. If you prefer to instead treat all enzyme annotations in the metagenome as belonging to one collective genome, you can do so by simply leaving out the `--metagenome-mode` flag (to effectively pretend that you are doing estimation for a single genome, although in your heart you will know that your contigs database really contains a metagenome). Please note that this will result in the opposite tendency to overestimate module completeness (as the enzymes will in reality be coming from multiple different populations), and there will be a lot of redundancy. We are working on improving our estimation algorithm for metagenome mode. In the meantime, if you are worried about the misleading results from either of these situations, we suggest binning your metagenomes first and running estimation for the bins as described below.
-
-### Estimation for a set of enzymes
-
-Suppose you have a list of enzymes. This could be an entirely theoretical list, or they could come from some annotation data that you got outside of anvi'o - regardless of where you came up with this set, you can figure out what metabolic pathways these enzymes contribute to. All you have to do is format that list as an %(enzymes-txt)s file, and give that input file to this program, like so:
-
-{{ codestart }}
-anvi-estimate-metabolism --enzymes-txt %(enzymes-txt)s
-{{ codestop }}
-
-The program will pretend all of these enzymes are coming from one theoretical 'genome' (though the reality depends on how you defined or obtained the set), so the completion estimates for each metabolic pathway will consider all enzymes in the file. If you want to instead break up your set of enzymes across multiple 'genomes', then you will have to make multiple different input files and run this program on each one.
-
+In metagenome mode, this program will estimate metabolism for each contig in the metagenome separately. This will tend to underestimate module completeness because it is likely that many modules will be broken up across multiple contigs belonging to the same population. If you prefer to instead treat all KOs in the metagenome as belonging to one collective genome, you can do so by simply leaving out the `--metagenome-mode` flag (to effectively pretend that you are doing estimation for a single genome, although in your heart you will know that your contigs database really contains a metagenome). Please note that this will result in the opposite tendency to overestimate module completeness (as the KOs will in reality be coming from multiple different populations), and there will be a lot of redundancy. We are working on improving our estimation algorithm for metagenome mode. In the meantime, if you are worried about the misleading results from either of these situations, we suggest binning your metagenomes first and running estimation for the bins as described below.
 
 ## MULTI-MODE: Running metabolism estimation on multiple contigs databases
 
@@ -144,7 +115,7 @@ There are many ways to alter the behavior of this program to fit your needs. You
 
 ### Changing the module completion threshold
 
-As explained in the [technical details section](#how-is-the-module-completeness-score-calculated) below, module completeness is computed as the percentage of steps in the metabolic pathway that are 'present' based on the annotated enzymes in the contigs database. If this completeness is larger than a certain percentage, then the entire module is considered to be 'complete' in the sample and the corresponding row in the long-format modules mode output file will have 'True' under the `module_is_complete` column. By default, the module completion threshold is 0.75, or 75%%.
+As explained in the [technical details section](#how-is-the-module-completeness-score-calculated) below, KEGG module completeness is computed as the percentage of steps in the metabolic pathway that are 'present' based on the annotated KOs in the contigs database. If this completeness is larger than a certain percentage, then the entire module is considered to be 'complete' in the sample and the corresponding row in the long-format modules mode output file will have 'True' under the `module_is_complete` column. By default, the module completion threshold is 0.75, or 75%%.
 
 Changing this parameter doesn't have any effect other than changing the proportions of 'True' and 'False' values in the `module_is_complete` column of long-format modules mode output (or the proportion of 1s and 0s in the module presence-absence matrix for `--matrix-format` output). It does _not_ alter completeness scores. It also does not affect which modules are printed to the output file, unless you use the `--only-complete` flag (described in a later section). Therefore, the purpose of changing this threshold is usually so that you can filter the output later somehow (i.e., by searching for 'True' values in the long-format output).
 
@@ -162,24 +133,6 @@ If you have previously annotated your contigs databases using a non-default KEGG
 anvi-estimate-metabolism -c %(contigs-db)s --kegg-data-dir /path/to/directory/KEGG
 {{ codestop }}
 
-### Working with user-defined metabolism data
-
-If you have defined your own set of metabolic modules and generated a %(modules-db)s for them using %(anvi-setup-user-modules)s, you can estimate the completeness of these pathways (in addition to the KEGG modules) by providing the path to the directory containing this data:
-
-{{ codestart }}
-anvi-estimate-metabolism -c %(contigs-db)s --user-modules /path/to/USER/directory
-{{ codestop }}
-
-The `--user-modules` parameter can be used in conjunction with the `--kegg-data-dir` parameter to control which KEGG data is being used at the same time.
-
-### Skipping KEGG data (ie, only working with user-defined metabolism data)
-
-If you wish to only estimate for your own metabolic modules, you can skip estimating for KEGG modules by providing the `--only-user-modules` flag. The nice thing about doing this is that you can skip running %(anvi-run-kegg-kofams)s on your databases (which will save you lots of time and computational resources).
-
-{{ codestart }}
-anvi-estimate-metabolism -c %(contigs-db)s --user-modules /path/to/USER/directory --only-user-modules
-{{ codestop }}
-
 ## Output options
 This program has two types of output files: long-format (tab-delimited) output files and matrices. The long-format output is the default. If you are using multi-mode to work with multiple samples, you can request matrix output by using the flag `--matrix-format`.
 
@@ -201,31 +154,31 @@ The program will print a list like the one below and then exit.
 ```
 AVAILABLE OUTPUT MODES
 ===============================================
-hits_in_modules ..............................: Information on each enzyme (gene annotation) that belongs to a module
-modules ......................................: Information on metabolic modules
-modules_custom ...............................: A custom tab-delimited output file where you choose the included modules data using --custom-output-headers
-hits .........................................: Information on all enzyme annotations in the contigs DB, regardless of module membership
+kofam_hits_in_modules ........................: Information on each KOfam hit that belongs to a KEGG module
+modules ......................................: Information on KEGG modules
+modules_custom ...............................: A custom tab-delimited output file where you choose the included KEGG modules data using --custom-output-headers
+kofam_hits ...................................: Information on all KOfam hits in the contigs DB, regardless of KEGG module membership
 ```
 
 Please note that you _must_ provide your input file(s) for this to work.
 
 **Using a non-default output mode**
 
-You can specify one or more long-format output modes using the `--output-modes` parameter. The mode names must exactly match to one of the available modes from the `--list-available-modes` output.
+You can specify one or more long-format output modes using the `--kegg-output-modes` parameter. The mode names must exactly match to one of the available modes from the `--list-available-modes` output.
 
 {{ codestart }}
-anvi-estimate-metabolism -c %(contigs-db)s --output-modes hits
+anvi-estimate-metabolism -c %(contigs-db)s --kegg-output-modes kofam_hits
 {{ codestop }}
 
 **Using multiple output modes**
 
-If you want more than one output mode, you can provide multiple comma-separated mode names to the `--output-modes` parameter. There should be no spaces between the mode names.
+If you want more than one output mode, you can provide multiple comma-separated mode names to the `--kegg-output-modes` parameter. There should be no spaces between the mode names.
 
 {{ codestart }}
-anvi-estimate-metabolism -c %(contigs-db)s --output-modes hits,modules
+anvi-estimate-metabolism -c %(contigs-db)s --kegg-output-modes kofam_hits,modules
 {{ codestop }}
 
-When multiple output modes are requested, a different output file is produced for each mode. All output files will have the same prefix, and the file suffixes specify the output mode. For example, modules mode output has the suffix `_modules.txt` while hits mode has the suffix `_hits.txt`.
+When multiple output modes are requested, a different output file is produced for each mode. All output files will have the same prefix, and the file suffixes specify the output mode. For example, modules mode output has the suffix `_modules.txt` while kofam hits mode has the suffix `_kofam_hits.txt`.
 
 **Viewing available output headers for 'custom' mode**
 
@@ -242,19 +195,33 @@ The program will print a list like the one below and then exit.
 ```
 AVAILABLE OUTPUT HEADERS
 ===============================================
-module .......................................: Module number [modules output mode]
-module_is_complete ...........................: Whether a module is considered complete or not based on its percent completeness and the completeness threshold [modules output mode]
-module_completeness ..........................: Percent completeness of a module [modules output mode]
-enzymes_unique_to_module .....................: A list of enzymes that only belong to this module (ie, they are not members of multiple modules) [modules output mode]
-unique_enzymes_hit_counts ....................: How many times each unique enzyme appears in the sample (order of counts corresponds to list in `enzymes_unique_to_module` field) [modules output mode]
-proportion_unique_enzymes_present ............: Proportion of enzymes unique to this one module that are present in the sample [modules output mode]
-unique_enzymes_context_string ................: Describes the unique enzymes contributing to the `proportion_unique_enzymes_present` field [modules output mode]
-module_name ..................................: Name/description of a module [modules output mode]
-[.......]
-enzyme .......................................: Identifier for an enzyme that is annotated in your database(s), ie a KO or COG number [kofams output mode]
-modules_with_enzyme ..........................: A comma-separated list of modules that the enzyme belongs to [kofams output mode]
-enzyme_definition ............................: The functional annotation associated with the enzyme [kofams output mode]
-genome_name ..................................: Name of genome/bin/metagenome in which we find gene annotations (hits) and/or modules [all output modes]
+unique_id ....................................: Just an integer that keeps our data organized. No real meaning here. Always included in output, so no need to specify it on the command line [all output modes]
+kegg_module ..................................: KEGG module number [modules output mode]
+module_is_complete ...........................: Whether a KEGG module is considered complete or not based on its percent completeness and the completeness threshold [modules output mode]
+module_completeness ..........................: Percent completeness of a KEGG module [modules output mode]
+module_name ..................................: English name/description of a KEGG module [modules output mode]
+module_class .................................: Metabolism class of a KEGG module [modules output mode]
+module_category ..............................: Metabolism category of a KEGG module [modules output mode]
+module_subcategory ...........................: Metabolism subcategory of a KEGG module [modules output mode]
+module_definition ............................: KEGG-formatted definition of a KEGG module. Describes the metabolic pathway in terms of the KOS that belong to the module [modules output mode]
+module_substrates ............................: Comma-separated list of compounds that serve as initial input to the metabolic pathway (that is, substrate(s) to the initial reaction(s) in the pathway) [modules output mode]
+module_products ..............................: Comma-separated list of compounds that serve as final output from the metabolic pathway (that is, product(s) of the final reaction(s) in the pathway) [modules output mode]
+module_intermediates .........................: Comma-separated list of compounds that are intermediates the metabolic pathway (compounds that are both outputs and inputs of reaction(s) in the pathway) [modules output mode]
+gene_caller_ids_in_module ....................: Comma-separated list of gene caller IDs of KOfam hits in a module [modules output mode]
+gene_caller_id ...............................: Gene caller ID of a single KOfam hit in the contigs DB. If you choose this header, each line in the output file will be a KOfam hit [all output modes]
+kofam_hits_in_module .........................: Comma-separated list of KOfam hits in a module [modules output mode]
+kofam_hit ....................................: KO number of a single KOfam hit. If you choose this header, each line in the output file will be a KOfam hit [modules output mode]
+contig .......................................: Contig that a KOfam hit is found on. If you choose this header, each line in the output file will be a KOfam hit [all output modes]
+path_id ......................................: Integer ID for a path through a KEGG module. No real meaning and just for data organization. If you choose this header, each line in the output file will be a KOfam hit
+                                                [modules output mode]
+path .........................................: A path through a KEGG module (a linear sequence of KOs that together represent each metabolic step in the module. Most modules have several of these due to KO redundancy). If
+                                                you choose this header, each line in the output file will be a KOfam hit [modules output mode]
+path_completeness ............................: Percent completeness of a particular path through a KEGG module. If you choose this header, each line in the output file will be a KOfam hit [modules output mode]
+warnings .....................................: If we are missing a KOfam profile for one of the KOs in a module, there will be a note in this column. [modules output mode]
+ko ...........................................: KEGG Orthology (KO) number of a KOfam hit [kofams output mode]
+modules_with_ko ..............................: A comma-separated list of modules that the KO belongs to [kofams output mode]
+ko_definition ................................: The functional annotation associated with the KO number [kofams output mode]
+genome_name ..................................: Name of genome/bin/metagenome in which we find KOfam hits and/or KEGG modules [all output modes]
 ```
 
 As you can see, this flag is also useful when you want to quickly look up the description of each column of data in your output files.
@@ -268,7 +235,7 @@ Just as with `--list-available-modes`, you must provide your input file(s) for t
 Here is an example of defining the modules output to contain columns with the module number, the module name, and the completeness score. The corresponding headers for these columns are provided as a comma-separated list (no spaces) to the `--custom-output-headers` flag.
 
 {{ codestart }}
-anvi-estimate-metabolism -c %(contigs-db)s --output-modes modules_custom --custom-output-headers module,module_name,module_completeness
+anvi-estimate-metabolism -c %(contigs-db)s --kegg-output-modes modules_custom --custom-output-headers kegg_module,module_name,module_completeness
 {{ codestop }}
 
 **Including modules with 0%% completeness in long-format output**
@@ -284,18 +251,12 @@ anvi-estimate-metabolism -c %(contigs-db)s --include-zeros
 If you have a profile database associated with your contigs database and you would like to include coverage and detection data in the metabolism estimation output files, you can use the `--add-coverage` flag. You will need to provide the profile database as well, of course. :)
 
 {{ codestart }}
-anvi-estimate-metabolism -c %(contigs-db)s -p %(profile-db)s --output-modes modules,hits_in_modules,hits --add-coverage
+anvi-estimate-metabolism -c %(contigs-db)s -p %(profile-db)s --kegg-output-modes modules,kofam_hits_in_modules,kofam_hits --add-coverage
 {{ codestop }}
 
-This option also works for the `--enzymes-txt` input option, provided that you include _both_ a `coverage` column and a `detection` column in the %(enzymes-txt)s input file.
+For `kofam_hits_in_modules` and `kofam_hits` mode output files, in which each row describes one KOfam hit to a gene in the contigs database, the output will contain two additional columns per sample in the profile database. One column will contain the mean coverage of that particular gene call by reads from that sample and the other will contain the detection of that gene in the sample.
 
-{{ codestart }}
-anvi-estimate-metabolism --enzymes-txt %(enzymes-txt)s --add-coverage
-{{ codestop }}
-
-For `hits_in_modules` and `hits` mode output files, in which each row describes one enzyme annotation for a gene in the contigs database, the output will contain two additional columns per sample in the profile database. One column will contain the mean coverage of that particular gene call by reads from that sample and the other will contain the detection of that gene in the sample.
-
-For `modules` mode output files, in which each row describes a metabolic module, the output will contain _four_ additional columns per sample in the profile database. One column will contain comma-separated mean coverage values for each gene call in the module, in the same order as the corresponding gene calls in the `gene_caller_ids_in_module` column. Another column will contain the average of these gene coverage values, which represents the average coverage of the entire module. Likewise, the third and fourth columns will contain comma-separated detection values for each gene call and the average detection, respectively.
+For `modules` mode output files, in which each row describes a KEGG module, the output will contain _four_ additional columns per sample in the profile database. One column will contain comma-separated mean coverage values for each gene call in the module, in the same order as the corresponding gene calls in the `gene_caller_ids_in_module` column. Another column will contain the average of these gene coverage values, which represents the average coverage of the entire module. Likewise, the third and fourth columns will contain comma-separated detection values for each gene call and the average detection, respectively.
 
 Note that you can customize which coverage/detection columns are in the output files if you use `custom` modules mode. Use the following command to find out which coverage/detection headers are available:
 
@@ -304,9 +265,9 @@ anvi-estimate-metabolism -c %(contigs-db)s -p %(profile-db)s --add-coverage --li
 {{ codestop }}
 
 ### Matrix Output
-Matrix format is only available when working with multiple contigs databases. Several output matrices will be generated, each of which describes one statistic such as module completion score, module presence/absence, or enzyme annotation (hit) counts. As with long-format output, each output file will have the same prefix and the file suffixes will indicate which type of data is present in the file.
+Matrix format is only available when working with multiple contigs databases. Several output matrices will be generated, each of which describes one statistic such as module completion score, module presence/absence, or KO hit counts. As with long-format output, each output file will have the same prefix and the file suffixes will indicate which type of data is present in the file.
 
-In each matrix, the rows will describe modules or enzymes, the columns will describe your input samples (i.e. genomes, metagenomes, bins), and each cell will be the corresponding statistic. You can see examples of this output format by viewing %(kegg-metabolism)s.
+In each matrix, the rows will describe modules or KOs, the columns will describe your input samples (i.e. genomes, metagenomes, bins), and each cell will be the corresponding statistic. You can see examples of this output format by viewing %(kegg-metabolism)s.
 
 **Obtaining matrix-formatted output**
 
@@ -316,15 +277,15 @@ Getting these matrices is as easy as providing the `--matrix-format` flag.
 anvi-estimate-metabolism -i internal-genomes.txt --matrix-format
 {{ codestop }}
 
-**Including metadata in the matrix output**
+**Including KEGG metadata in the matrix output**
 
-By default, the matrix output is a matrix ready for use in other computational applications, like visualizing as a heatmap or performing clustering. That means it has a header line and an index in the right-most column, but all other cells are numerical. However, you may want to instead have a matrix that is annotated with more information, like the names and categories of each module or the functional annotations of each enzyme. To include this additional information in the matrix output (as columns that occur before the sample columns), use the `--include-metadata` flag.
+By default, the matrix output is a matrix ready for use in other computational applications, like visualizing as a heatmap or performing clustering. That means it has a header line and an index in the right-most column, but all other cells are numerical. However, you may want to instead have a matrix that is annotated with more information, like the names and categories of each module or the functional annotations of each KO. To include this additional information in the matrix output (as columns that occur before the sample columns), use the `--include-metadata` flag.
 
 {{ codestart }}
 anvi-estimate-metabolism -i internal-genomes.txt --matrix-format --include-metadata
 {{ codestop }}
 
-Note that this flag only works for matrix output because, well, the long-format output inherently includes metadata.
+Note that this flag only works for matrix output because, well, the long-format output inherently includes KEGG metadata.
 
 **Including rows of all zeros in the matrix output**
 
@@ -334,9 +295,9 @@ The `--include-zeros` flag works for matrix output, too. By default, modules tha
 anvi-estimate-metabolism -i internal-genomes.txt --matrix-format --include-zeros
 {{ codestop }}
 
-**Getting module-specific enzyme matrices**
+**Getting module-specific KO hit matrices**
 
-The standard enzyme hit matrix includes all enzymes that were annotated at least once in your input databases (or all enzymes that we know about, if `--include-zeros` is used). But sometimes you might want to see a matrix with only the enzymes from a particular metabolic pathway. To do this, pass a comma-separated (no spaces) list of module numbers to the `--module-specific-matrices` flag, and then your matrix output will include enzyme hit matrices for each module in the list.
+The standard KO hit matrix includes all KOfams that were annotated at least once in your input databases (or all KOfams that we know about, if `--include-zeros` is used). But sometimes you might want to see a matrix with only the KOs from a particular metabolic pathway. To do this, pass a comma-separated (no spaces) list of KEGG module numbers to the `--module-specific-matrices` flag, and then your matrix output will include KO hit matrices for each module in the list.
 
 For example,
 
@@ -347,16 +308,15 @@ anvi-estimate-metabolism -e input_txt_files/external_genomes.txt \
                          -O external_genomes
 {{ codestop }}
 
-will produce the output files `external_genomes-M00001_enzyme_hits-MATRIX.txt` and `external_genomes-M00009_enzyme_hits-MATRIX.txt` (in addition to the typical output matrices). Each additional output matrix will include one row for each enzyme in the module, in the order it appears in the module definition. It will also include comment lines for each major step (or set of steps) in the module definition, to help with interpreting the output.
+will produce the output files `external_genomes-M00001_ko_hits-MATRIX.txt` and `external_genomes-M00009_ko_hits-MATRIX.txt` (in addition to the typical output matrices). Each additional output matrix will include one row for each KO in the module, in the order it appears in the module definition. It will also include comment lines for each major step (or set of steps) in the module definition, to help with interpreting the output.
 
 Check out this (partial) example for module M00001:
 ```
-enzyme	isolate	E_faecalis_6240	test_2
-# (K00844,K12407,K00845,K25026,K00886,K08074,K00918)
+KO	isolate	E_faecalis_6240	test_2
+# (K00844,K12407,K00845,K00886,K08074,K00918)
 K00844	0	0	0
 K12407	0	0	0
-K00845	0	0	0
-K25026	0	1	0
+K00845	0	1	0
 K00886	1	0	1
 K08074	0	0	0
 K00918	0	0	0
@@ -385,11 +345,10 @@ anvi-estimate-metabolism -e input_txt_files/external_genomes.txt \
 
 In this case, the above file would look like this:
 ```
-enzyme	isolate	E_faecalis_6240	test_2
+KO	isolate	E_faecalis_6240	test_2
 K00844	0	0	0
 K12407	0	0	0
-K00845	0	0	0
-K25026	0	1	0
+K00845	0	1	0
 K00886	1	0	1
 K08074	0	0	0
 K00918	0	0	0
@@ -418,12 +377,12 @@ anvi-estimate-metabolism -c %(contigs-db)s -O my-cool-prefix
 
 **Including only complete modules in the output**
 
-Remember that module completion threshold? Well, you can use that to control which modules make it into your output files. If you provide the `--only-complete` flag, then any module-related output files will only include modules that have a completeness score at or above the module completion threshold. (This doesn't affect enzyme-related outputs, for obvious reasons.)
+Remember that module completion threshold? Well, you can use that to control which modules make it into your output files. If you provide the `--only-complete` flag, then any module-related output files will only include modules that have a completeness score at or above the module completion threshold. (This doesn't affect KO-related outputs, for obvious reasons.)
 
 Here is an example of using this flag with long-format output (which is the default, as described above, but we are asking for it explicitly here just to be clear):
 
 {{ codestart }}
-anvi-estimate-metabolism -c %(contigs-db)s --output-modes modules --only-complete
+anvi-estimate-metabolism -c %(contigs-db)s --kegg-output-modes modules --only-complete
 {{ codestop }}
 
 And here is an example of using this flag with matrix output. In this case, we are working with multiple input samples, and the behavior of this flag is slightly different: a module will be included in the matrix if it is at or above the module completion threshold in **at least one sample**. If there are any samples in which that module's completeness is below the threshold, its completeness in that sample will be **represented by a 0.0** in the matrix, regardless of its actual completeness score.
@@ -454,14 +413,6 @@ This means that the %(modules-db)s used by %(anvi-run-kegg-kofams)s has differen
 2. You have multiple versions of %(kegg-data)s on your computer in different locations, and you used different ones for %(anvi-run-kegg-kofams)s and %(anvi-estimate-metabolism)s. If this is what you did, then there is an easy fix - simply find the KEGG data directory containing the MODULES.db with the same content hash (you can use %(anvi-db-info)s on the MODULES.db to find the hash value) as the one used by %(anvi-run-kegg-kofams)s and submit that location with `--kegg-data-dir` to this program.
 3. Your collaborator gave you some databases that they annotated with a different version of %(kegg-data)s than you have on your computer. In this case, either you or they (or both) have probably been using a non-default (or outdated) version of %(kegg-data)s. If they have the current default snapshot of KEGG data but you do not, then you'll need to get that version onto your computer using the default usage of %(anvi-setup-kegg-kofams)s. Otherwise, your collaborator will need to somehow share all or part of their KEGG data directory with you before you can work on their databases. See %(anvi-setup-kegg-kofams)s for details on how to share non-default setups of %(kegg-data)s.
 
-Note that you can also get this sort of error with user-defined metabolic modules, but only if you are estimating from JSON data (in which case the JSON file was generated using a different user-defined %(modules-db)s).
-
-
-## What to do if estimation is not working as expected for user-defined metabolic modules?
-
-If you are estimating completeness of user-defined modules and find that the results are not as expected, you should double check your module files to make sure the pathway is defined properly. Are the enzyme accession numbers in the DEFINITION correct? Do you have the proper ANNOTATION_SOURCE for each enzyme, and are these lines spelled properly and matching to the annotation sources in your contigs database(s)? If you are using custom HMM profiles, did you remember to use the `--add-to-functions-table` parameter?
-
-If these things are correct but you are still not finding an annotation for one or more enzymes that you _know_ should be in your sequence data, consider why those annotations might not be there - perhaps the e-values are too low for the annotations to be kept in the database? Keep in mind that you can always try to add enzyme annotations (with the proper sources) to your database using %(anvi-import-functions)s before running %(anvi-estimate-metabolism)s again.
 
 ## Technical Details
 
@@ -470,9 +421,7 @@ If these things are correct but you are still not finding an annotation for one
 Regardless of which input type is provided to this program, the basic requirements for metabolism estimation are 1) a set of metabolic pathway definitions, and 2) a 'pool' of gene annotations.
 
 #### Module Definitions
-One set of metabolic pathway definitions that is always used by this program is the [KEGG MODULE resource](https://www.genome.jp/kegg/module.html). You can also define your own set of metabolic modules, but the definition format and estimation strategy will be the same. So for brevity's sake, the following discussion will cover the KEGG data case.
-
-The program %(anvi-setup-kegg-kofams)s acquires the definitions of these modules using the KEGG API and puts them into the %(modules-db)s. The definitions are strings of KEGG Ortholog (KO) identifiers, representing the functions necessary to carry out each step of the metabolic pathway. Let's use module [M00018](https://www.genome.jp/kegg-bin/show_module?M00018), Threonine Biosynthesis, as an example. Here is the module definition, in picture form:
+Currently, the only option for metabolic pathway definitions that is available to this program is the [KEGG MODULE resource](https://www.genome.jp/kegg/module.html). The program %(anvi-setup-kegg-kofams)s acquires the definitions of these modules using the KEGG API and puts them into the %(modules-db)s. The definitions are strings of KEGG Ortholog (KO) identifiers, representing the functions necessary to carry out each step of the metabolic pathway. Let's use module [M00018](https://www.genome.jp/kegg-bin/show_module?M00018), Threonine Biosynthesis, as an example. Here is the module definition, in picture form:
 
 ![Module M00018 Definition](../../images/M00018.png){:.center-img .width-50}
 
@@ -504,12 +453,11 @@ Module definitions can be even more complex than this. Both of these examples ha
 
 Hopefully this information will help you understand our estimation strategies in the next section.
 
-#### KOfam (enzyme) annotations
+#### KOfam annotations
 For metabolism estimation to work properly, gene identifiers in the pool of annotations must match to the gene identifiers used in the pathway definitions. For KEGG MODULEs, we rely on annotations from the [KEGG KOfam database](https://www.genome.jp/tools/kofamkoala/), which is a set of HMM profiles for KEGG Orthologs (KOs). The program %(anvi-run-kegg-kofams)s can annotate your %(contigs-db)s with hits to the KEGG KOfam database. It adds these annotations under the source name 'KOfam'.
 
 Which of the annotations are considered for metabolism estimation depends on the input context. If you are working with isolate genomes (ie, _not_ metagenome mode or bins), then all of the annotations under source 'KOfam' will be used. If you are working with bins in metagenomes, then for each bin, only the 'KOfam' annotations that are present in that bin will be in the annotation pool. Finally, for metagenome mode, since estimation is done for each contig separately, only the annotations present in each contig will be considered at a time.
 
-User-defined metabolic modules must specify the annotation source(s) needed to find their component enzymes in your data. Adding these annotation sources to your contigs databases may require running a variety of programs. However, `anvi-estimate-metabolism` loads these gene annotations and uses them in the same way as it does 'KOfam' annotations for KEGG data.
 
 ### How is the module completeness score calculated?
 
@@ -592,4 +540,4 @@ Suppose module M00377 had a completeness score of 0.7 and module M00579 had a sc
 
 
 #### Summary
-For those who prefer the less long-winded approach: module completeness in a given sample is calculated as the maximum fraction of essential KOs (enzymes) that are annotated in the sample, where the maximum is taken over all possible sets of KOs (enzymes) from the module definition.
+For those who prefer the less long-winded approach: module completeness in a given sample is calculated as the maximum fraction of essential KOs that are annotated in the sample, where the maximum is taken over all possible sets of KOs from the module definition.
diff --git a/anvio/docs/programs/anvi-export-gene-calls.md b/anvio/docs/programs/anvi-export-gene-calls.md
index 150631ccea..32db49a807 100644
--- a/anvio/docs/programs/anvi-export-gene-calls.md
+++ b/anvio/docs/programs/anvi-export-gene-calls.md
@@ -1,58 +1,22 @@
-The purpose of this program is to exports your gene calls in a given %(contigs-db)s and a gene caller, in the form of a %(gene-calls-txt)s. 
+This program exports your gene calls given a %(contigs-db)s and a gene caller. The output of this is a %(gene-calls-txt)s. 
 
-To see the gene callers available in your contigs database, you can use %(anvi-db-info)s or use this program with the following flag: 
+To see the gene callers available in your contigs database, run 
 
 {{ codestart }}
 anvi-export-gene-calls -c %(contigs-db)s \
                        --list-gene-callers
 {{ codestop }}
 
-Running this will export all of your gene calls identified by the gene caller [prodigal](https://github.com/hyattpd/Prodigal) (assuming it is in your %(contigs-db)s:
+By default, this list will probably include [Prodigal](https://github.com/hyattpd/Prodigal), which identifies genes when creating a %(contigs-db)s. For in this example, we'll use export Prodigal-identified genes. Note that you can also get genes from more than one source by providing several gene-callers in a comma-delimited list.  
 
-{{ codestart }}
-anvi-export-gene-calls -c %(contigs-db)s \
-                       --gene-caller Prodigal \
-                       -o %(gene-calls-txt)s
-{{ codestop }}
-
-{:.notice}
-You can export genes from more gene callers by providing a comma-separated list of gene caller names.
-
-If you don't want to display the amino acid sequences of each gene (they can crowd the file very quickly if you don't want to see them), you can add the following flag:
+Then, you can export all of your gene callers in an orderly fashion by running 
 
 {{ codestart }}
 anvi-export-gene-calls -c %(contigs-db)s \
                        --gene-caller Prodigal \
-                       --skip-sequence-reporting \
-                       -o %(gene-calls-txt)s
+                       -o path/to/output
 {{ codestop }}
 
-## Advanced uses
-
-This program can take a lot of time and memory when working with very large %(contigs-db)s files (such as those that are more than 10 Gb in file size or more than 10 million contigs).
-
-In that case you can export your gene calls the following way within minutes and a small memory space.
+This will put a %(gene-calls-txt)s in the path you specified containing all of your Prodigal genes. 
 
-First open your %(contigs-db)s:
-
-{{ codestart }}
-sqlite3 %(contigs-db)s
-{{ codestop }}
-
-Then run these lines,
-
-{{ codestart }}
-.mode csv 
-.headers on 
-.out %(gene-calls-txt)s
-select gene_callers_id, contig, start, stop, direction, partial from genes_in_contigs;
-{{ codestop }}
-
-You can also continue with these lines to get the amino acid sequences for them:
-
-{{ codestart }}
-.mode csv 
-.headers on 
-.out AMINO-ACID-SEQUENCES.txt
-select * from genes_in_contigs;
-{{ codestop }}
+If you don't want to display the amino acid sequences of each gene (they can crowd the file very quickly if you don't want to see them), just add the flag `--skip-sequence-reporting`
diff --git a/anvio/docs/programs/anvi-gen-structure-database.md b/anvio/docs/programs/anvi-gen-structure-database.md
index a8cb3e9d25..22cffd8d5c 100644
--- a/anvio/docs/programs/anvi-gen-structure-database.md
+++ b/anvio/docs/programs/anvi-gen-structure-database.md
@@ -1,17 +1,16 @@
 
-This program creates a %(structure-db)s either by (a) attempting to solve for the 3D structures of proteins encoded by genes in your %(contigs-db)s using DIAMOND and MODELLER, or (b) importing pre-existing structures provided by the user using an %(external-structures)s file.
-
-### The basics of the pipeline
-
-This section covers option (a), where the user is interested in having structures predicted for them.
+This program attempts to solve for the 3D structures of proteins encoded by genes in your %(contigs-db)s using DIAMOND and MODELLER.  
 
 DIAMOND first searches your sequence(s) against a database of proteins with a known structure.  This database is downloaded from the [Sali lab](https://salilab.org/modeller/supplemental.html), who created and maintain MODELLER, and contains all of the PDB sequences clustered at 95%% identity.
 
+
 If any good hits are found, they are selected as templates, and their structures are nabbed either from [the RCSB directly](https://www.rcsb.org/), or from a local %(pdb-db)s database which you can create yourself with %(anvi-setup-pdb-database)s. Then, anvi'o passes control over to MODELLER, which creates a 3D alignment for your sequence to the template structures, and makes final adjustments to it based off of empirical distributions of bond angles. For more information, check [this blogpost](http://merenlab.org/2018/09/04/getting-started-with-anvio-structure/#how-modeller-works).
 
-The output of this program is a %(structure-db)s, which contains all of the modelled structures. Currently, the primary use of the %(structure-db)s is for interactive exploration with %(anvi-display-structure)s. You can also export your structures into external .pdb files with %(anvi-export-structures)s, or incorporate structural information in the %(variability-profile-txt)s with %(anvi-gen-variability-profile)s.
 
-### Basic standard run
+The output of this program is a %(structure-db)s, which contains all of the modelled structures.  Currently, the primary use of the %(structure-db)s is for interactive exploration with %(anvi-display-structure)s. You can also export your structures into external .pdb files with %(anvi-export-structures)s, or incorporate structural information in the %(variability-profile-txt)s with %(anvi-gen-variability-profile)s.
+
+
+### Basic run 
 
 Here is a simple run: 
 
@@ -34,20 +33,6 @@ anvi-gen-structure-database -c %(contigs-db)s \
 
 To quickly get a very rough estimate for your structures, you can run with the flag `--very-fast`. 
 
-### Basic import run
-
-If you already possess structures and would like to create a %(structure-db)s for downstream anvi'o uses such as %(anvi-display-structure)s, you should create a %(external-structures)s file. Then, create the database as follows:
-
-{{ codestart }}
-anvi-gen-structure-database -c %(contigs-db)s \
-                            --external-structures %(external-structures)s \
-                            -o STRUCTURE.db 
-{{ codestop }}
-
-{:.notice}
-Please avoid using any MODELLER-specific parameters when using this mode, as they will be silently ignored.
-
-
 ### Advanced Parameters
 
 Here, we will go through a brief overview of the MODELLER parameters that you are able to change. See [this page](http://merenlab.org/2018/09/04/getting-started-with-anvio-structure/#description-of-all-modeller-parameters) for more information. 
diff --git a/anvio/docs/programs/anvi-get-sequences-for-hmm-hits.md b/anvio/docs/programs/anvi-get-sequences-for-hmm-hits.md
index f16287f0cb..9ee79d36a6 100644
--- a/anvio/docs/programs/anvi-get-sequences-for-hmm-hits.md
+++ b/anvio/docs/programs/anvi-get-sequences-for-hmm-hits.md
@@ -97,44 +97,22 @@ anvi-get-sequences-for-hmm-hits -c %(contigs-db)s \
                                 -o %(genes-fasta)s
 {{ codestop }}
 
-## Tips
 
-### Get amino acid seqeunces for each gene in a model individually
-
-If you are interested in recovering HMM hits for each gene in a model anvi'o knows about as a separate FASTA file, you can do it with a `for` loop easily. After learning your genes of interest, first run this to make sure your terminal environment knows about them (this is an example with a few genes from the HMM source `Bacteria_71`, but you can add as many genes as you like and use any HMM source anvi'o recognizes, of course):
-
-``` bash
-export genes="Ribosomal_L22 Ribosomal_L23 Ribosomal_L27 Ribosomal_L27A Ribosomal_L28"
-export hmm_source="Bacteria_71"
-```
-
-Then, you can run the program in a loop to have your FASTA files:
-
-``` bash
-for gene in $genes
-do
-    anvi-get-sequences-for-hmm-hits -c CONTIGS.db \
-                                    --hmm-source $hmm_source \
-                                    --gene-name $gene \
-                                    -o ${hmm_source}-${gene}.fa
-done
-```
-
-Voila!
-
-### Exercise with the program or test scenarios
+### Want to play?
 
 You can play with this program using the anvi'o data pack for the [infant gut data](/tutorials/infant-gut) and by replacing the parameters above with appropriate ones in the following commands.
 
-Download the latest version of the data from here: [doi:10.6084/m9.figshare.3502445](https://doi.org/10.6084/m9.figshare.3502445)
+Download the latest version of the data from here:
+
+[doi:10.6084/m9.figshare.3502445](https://doi.org/10.6084/m9.figshare.3502445)
 
-Then, unpack it:
+Unpack it:
 
 {{ codestart }}
 tar -zxvf INFANTGUTTUTORIAL.tar.gz && cd INFANT-GUT-TUTORIAL
 {{ codestop }}
 
-Finally, import the collection `merens`:
+Import the collection `merens`:
 
 {{ codestart }}
 %(anvi-import-collection)s additional-files/collections/merens.txt \
@@ -143,4 +121,18 @@ Finally, import the collection `merens`:
                        -C merens
 {{ codestop }}
 
-Then run the program using the `PROFILE.db`, `CONTIGS.db`, and optionally the %(collection)s `merens` to try some of the commands shown on this page.
+Then run the program to
+
+### Learn available HMM sources
+
+{{ codestart }}
+anvi-get-sequences-for-hmm-hits -p PROFILE.db \
+                                -c CONTIGS.db \
+                                -C merens \
+                                -o OUTPUT.fa \
+                                --hmm-source Campbell_et_al \
+                                --gene-names Ribosomal_L27,Ribosomal_L28,Ribosomal_L3 \
+                                --return-best-hit \
+                                --get-aa-sequences \
+                                --concatenate
+{{ codestop }}
diff --git a/anvio/docs/programs/anvi-get-tlen-dist-from-bam.md b/anvio/docs/programs/anvi-get-tlen-dist-from-bam.md
deleted file mode 100644
index 70e6c27ac2..0000000000
--- a/anvio/docs/programs/anvi-get-tlen-dist-from-bam.md
+++ /dev/null
@@ -1,73 +0,0 @@
-This program may be useful if you are interested in learning the insert size distribution in a given %(bam-file)s.
-
-## Example run
-
-The most straightforward way to run the program is the following:
-
-{{ codestart }}
-anvi-get-tlen-dist-from-bam %(bam-file)s
-{{ codestop }}
-
-Here is an example output in the terminal:
-
-```
-BAM file .....................................: ./INVERSION-TEST/CP_R03_CDI_C_07_POST.bam
-Number of contigs ............................: 8
-Number of reads ..............................: 2,331,062
-Minimum template length frequency ............: 10
-Maximum template length to consider ..........: 500,000
-
-
-WARNING
-===============================================
-Some of your contigs, 2 of 8 to be precise, did not seem to have any template
-lenght data. There are many reasons this could happen, including a very high
-`--min-tlen-frequency` parameter for BAM files with small number of reads. But
-since there are some contigs that seem to have proper paired-end reads with
-template lengths, anvi'o will continue reporting and put zeros for contigs that
-have no data in output files.
-
-Output file ..................................: TEMPLATE-LENGTH-STATS.txt
-
-
-✓ anvi-get-tlen-dist-from-bam took 0:00:05.483682
-```
-
-## Output file
-
-The program will report a TAB-delimited output file with the following format:
-
-|contig|length|num_reads_considered|mean|mean_Q2Q3|median|min|max|std|
-|:--|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|
-|B_fragilis_ARW016_000000000001|5526948|2213634|367.6|392.5|393.0|32|71613|663.1|
-|B_fragilis_ARW016_000000000002|3905|634|398.6|398.7|399.0|382|415|7.926|
-|B_fragilis_ARW016_000000000003|4039|588|397.5|397.8|398.0|380|411|7.206|
-|B_fragilis_ARW016_000000000004|3950|524|397.4|397.2|397.0|382|414|7.492|
-|B_fragilis_ARW016_000000000005|911|0|||||||
-|B_fragilis_ARW016_000000000006|647|0|||||||
-|B_fragilis_ARW016_000000000007|12247|1860|394.9|396.7|397.0|99|419|23.61|
-|B_fragilis_ARW016_000000000008|4861|528|396.7|396.7|397.0|384|410|6.746|
-
-## Histogram
-
-If you run the program with the flag `--plot`, it will attempt to plot a histogram for all contigs in the BAM file.
-
-{:.warning}
-The plotting function requires an additional Python library, [plotext](https://github.com/piccolomo/plotext), to be installed. While it is not a part of the default anvi'o distirbution, you can install it in your environment by running `pip install plotext`.
-
-Here is an example run:
-
-```
-anvi-get-tlen-dist-from-bam CP_R03_CDI_C_07_POST.bam \
-                            --plot \
-                            --max-template-length-to-consider 5000 \
-                            --min-template-length-frequency 2500
-```
-
-And the result in the terminal:
-
-[![Example output](../../images/anvi-get-tlen-dist-from-bam.png){:.center-img}](../../images/anvi-get-tlen-dist-from-bam.png)
-
-The histogram may require additional filters to avoid skewed displays due to outliers. The parameters `--max-template-length-to-consider` and/or `--min-template-length-frequency` may be useful for such adjustments. Please see the help menu for their details.
-
-The best practice is likely to run the program without any of these parameters and without the `--plot` flag to generate a comprehensive TAB-delimited report, and then use the `--plot` flag to visualize trends.
\ No newline at end of file
diff --git a/anvio/docs/programs/anvi-interactive.md b/anvio/docs/programs/anvi-interactive.md
index 41aff5ca13..eb710af9c4 100644
--- a/anvio/docs/programs/anvi-interactive.md
+++ b/anvio/docs/programs/anvi-interactive.md
@@ -8,7 +8,7 @@ Here, we'll go through *some* things that the anvi'o interactive interface is ca
 
 Please makes sure you are familiar with the terminology that describes various parts of a given display, which are **explained in the %(interactive)s artifact**:
 
-![an anvi'o display](../../images/interactive_interface/anvio_display_template.png){:.center-img}
+![an anvi'o display](../../images/anvio_display_template.png){:.center-img}
 
 
 ## Running anvi-interactive on a profile database
@@ -22,7 +22,7 @@ anvi-interactive -p %(profile-db)s \
 
 For the central tree to display correctly, you'll need to have run hierarchical clustering at some point while making your profile database (either during %(anvi-merge)s, or, if this is a %(single-profile-db)s, while running %(anvi-profile)s). It is also possible to provide a phylogenetic tree or a clustering dendrogram from the command line using the `--tree` parameter.
 
-If you do not have a %(state)s stored in your profile database named `default`, you will need to click the "Draw" button for anvi'o to provide you with an %(interactive)s display of your data.
+If you do not have a %(state)s stored in your profile database named `default`, you will need to click the "Draw" button for anvi'o to provide you with an %(interactive)s display of your data. 
 
 ### How to visualize things when you don't have a hierarchical clustering of your contigs?
 
diff --git a/anvio/docs/programs/anvi-matrix-to-newick.md b/anvio/docs/programs/anvi-matrix-to-newick.md
index d8a021b131..1d1e1a89b1 100644
--- a/anvio/docs/programs/anvi-matrix-to-newick.md
+++ b/anvio/docs/programs/anvi-matrix-to-newick.md
@@ -1,14 +1,16 @@
-You can send any matrix file to this program to get a %(dendrogram)s from it.
+This program converts a distance matrix (computed from a %(view-data)s artifact) into a %(dendrogram)s. 
 
-An example run would look like this:
+It uses the numerical data in a %(view-data)s to compute a distance matrix behind the scenes, and then runs some hierarchical clustering to create a %(dendrogram)s for all of your items. 
+
+With all default parameters, a run would look like this:
 
 {{ codestart }}
-anvi-matrix-to-newick TAB_DELIMITED_DATA.txt \
-                      %(dendrogram)s
+anvi-matrix-to-newick -o path/for/%(dendrogram)s \ 
+                      %(view-data)s 
 {{ codestop }}
 
-By default, %(anvi-matrix-to-newick)s will cluster rows. With the flag `--transpose`, it will cluster columns.
+If your input file has your samples as rows instead of columns, just add the flag `--transpose`. 
 
-See [here](https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.distance.pdist.html) a list of distance metrics you can use, and [here](https://docs.scipy.org/doc/scipy/reference/generated/scipy.cluster.hierarchy.linkage.html) a list of linkage methods you can use.
+You can also ask for an additional output file: the order of the items in the resulting dendrogram as a %(misc-data-items-order)s in LIST format. To get this, simply provide a path to its desired location  with `--items-order-file`. 
 
-%(anvi-matrix-to-newick)s can handle missing data, but in that case the program will not normalize your data and will assume that it is already normalized.
+Additionally, for hierarchical clustering, you can change the distance metric (a full list of the available metrics can be found [here](https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.distance.pdist.html)) or the linkage method (though this is not recommended, the list of options can be found [here](https://docs.scipy.org/doc/scipy/reference/generated/scipy.cluster.hierarchy.linkage.html)).
diff --git a/anvio/docs/programs/anvi-merge-trnaseq.md b/anvio/docs/programs/anvi-merge-trnaseq.md
deleted file mode 100644
index d43c90990d..0000000000
--- a/anvio/docs/programs/anvi-merge-trnaseq.md
+++ /dev/null
@@ -1,36 +0,0 @@
-This program **finds tRNA seed sequences from a set of tRNA-seq samples**.
-
-This program follows %(anvi-trnaseq)s in the %(trnaseq-workflow)s. %(anvi-trnaseq)s is run on each tRNA-seq sample, producing sample %(trnaseq-db)ss. A tRNA-seq database contains predictions of tRNA sequences, structures, and modification sites in the sample. anvi-merge-trnaseq takes as input the tRNA-seq databases from a set of samples. It compares tRNAs predicted from the samples, finding those in common and calculating their sample coverages. The final tRNA sequences predicted from all samples are called **tRNA seeds** and function like contigs in metagenomic experiments. Seeds are stored in a %(trnaseq-contigs-db)s and sample coverages are stored in a %(trnaseq-profile-db)s. These databases are **variants** of normal %(contigs-db)ss and %(profile-db)ss, performing similar functions in the anvi'o ecosystem but containing somewhat different information.
-
-Most of the heavy computational work in the %(trnaseq-workflow)s is performed by %(anvi-trnaseq)s. anvi-merge-trnaseq is meant run relatively quickly, allowing its parameters to be tuned to fit the dataset.
-
-The `anvi-merge-trnaseq --help` menu provides detailed explanations of the parameters controlling the multifacted analyses performed by the program.
-
-## Key parameters
-
-### Number of reported seeds
-
-One key parameter is the number of reported tRNA seed sequences (`--max-reported-trna-seeds`). The default value of 10,000 seeds is more appropriate for a complex microbial community than a pure culture of a bacterial isolate, which should yield a number of tRNA seeds equal to the number of expressed tRNAs, say ~30. Sequence artifacts may be reported in addition to the 30 actual tRNAs with a higher value like 10,000. Artifacts are relatively common despite intensive screening by %(anvi-trnaseq)s and anvi-merge-trnaseq due to nontemplated nucleotides and modification-induced mutations introduced into tRNA-seq reads by reverse transcription. In practice, artifacts are easy to distinguish from true tRNA seeds by analyzing seed coverage in %(anvi-interactive)s and checking seed homology to reference databases, among other measures.
-
-### Modification filters
-
-Other key parameters, `--min-variation` and `--min-third-fourth-nt`, determine the coverage cutoffs that distinguish predicted positions of modified nucleotides from single nucleotide variants. Compared to SNVs, modifications typically produce higher nucleotide variability to three or four different nucleotides. However, modification-induced mutations are often highly skewed to one other nucleotide rather than all three mutant nucleotides. Furthermore, the high coverage of seeds in many tRNA-seq libraries can uncover SNVs with a low-frequency third nucleotide rather than the expected two. Some SNVs that are wrongly called modifications can be easily spotted in %(anvi-interactive)s and the output of %(anvi-plot-trnaseq)s due to covariation at two positions in the seed as a result of base pairing. In other words, SNV frequencies are equivalent at the two base paired positions in every sample, where modification artifacts have no effect on nucleotide variability at another position across the molecule.
-
-## Examples
-
-*Merge two samples.*
-
-{{ codestart }}
-anvi-merge-trnaseq trnaseq_database_1 trnaseq_database_2 (...) \
-                   -o OUTPUT_DIRECTORY \
-                   -n PROJECT_NAME \
-{{ codestop }}
-
-*Merge two samples with and without demethylase treatment, giving priority to the demethylase split in calling the underlying nucleotide at modified positions.*
-
-{{ codestart }}
-anvi-merge-trnaseq untreated_trnaseq_database demethylase_trnaseq_database (...) \
-                   -o OUTPUT_DIRECTORY \
-                   -n PROJECT_NAME \
-                   --preferred-treatment demethylase
-{{ codestop }}
diff --git a/anvio/docs/programs/anvi-plot-trnaseq.md b/anvio/docs/programs/anvi-plot-trnaseq.md
deleted file mode 100644
index 2e82c111c1..0000000000
--- a/anvio/docs/programs/anvi-plot-trnaseq.md
+++ /dev/null
@@ -1,9 +0,0 @@
-This program **generates plots of groups of tRNA-seq seeds. The plots show seed coverages and the nucleotide frequencies at modification sites in each sample**.
-
-The %(trnaseq-workflow)s predicts tRNA seeds and their nucleotide modifications from a set of samples. The inspect webpage in %(anvi-interactive)s displays information on a selected seed, including coverages, mutation frequencies at predicted modification sites, and indel frequencies. anvi-plot-trnaseq generates plots that similarly show seed coverages in each sample but otherwise differ in many ways from the inspect page.
-
-This program generates plots for a user-defined group of seeds. Seeds may be grouped by tRNA taxonomy and/or amino acid/anticodon identity. All of the seeds in a taxonomic/anticodon group are represented on the same plot. For example, all Arg-ACG seeds resolving to family Lachnospiraceae can be displayed on a single plot. Each panel of the plot shows coverages of all the seeds in a given sample. If there are five Lachnospiraceae Arg-ACG seeds, then five coverage traces will be stacked atop each other in each subplot, the seed with the highest mean coverage on the bottom. Nucleotide frequencies at predicted modification positions are shown as bars, with sections of the bar for each of the four nucleotides. If three of the five seeds have a modification, say m1A22, then the total height of the bar will rise to the height of the summed coverage of the three seeds at position 22. The number of seeds represented by the group is displayed on the plot, and the mean and 3' (discriminator nucleotide) coverages of the group of seeds is displayed adjacent to each sample subplot.
-
-Multiple groups may be specified at the same time, producing a set of plots. If **only** a taxonomic group is given, then plots for **every** isoacceptor will be produced, e.g., Lachnospiraceae Arg-ACG, Arg-CCG, Arg-GCG, etc. If a taxonomic **rank** and anticodon is given, then plots for each taxon will be produced, e.g., at the family level, Lachnospiraceae Arg-ACG, Ruminococcaceae Arg-ACG, Bacteroidaceae Arg-ACG, etc.
-
-anvi-plot-trnaseq is interactive through the command prompt, allowing the required %(trnaseq-contigs-db)s, %(seeds-specific-txt)s, and %(modifications-txt)s to be loaded only once and plots to be generated on the fly. Aesthetic parameters of the plots can be tweaked through the program. A comprehensive help menu with examples appears upon starting the program.
diff --git a/anvio/docs/programs/anvi-rename-bins.md b/anvio/docs/programs/anvi-rename-bins.md
index 915bdb2f17..01f76b8c93 100644
--- a/anvio/docs/programs/anvi-rename-bins.md
+++ b/anvio/docs/programs/anvi-rename-bins.md
@@ -1,10 +1,10 @@
-This program **creates a new %(collection)s from the %(bin)ss in another collection with specific guidelines.** This is especially helpful when you want to merge multiple collections later or share your project with someone, and you want all of your bins to have nicer names than the default `bin_01`, `bin_02`, etc. based on the order you binned them in.
+This program **creates a new %(collection)s from the %(bin)ss in another collection with specific guidelines.** This is especially helpful when you want to merge multiple collections later or share your project with someone, and you want all of your bins to have nicer names than the default `bin_01`, `bin_02`, etc. based on the order you binned them in. 
 
-So let's take a look at what this program can do with a simple example.
+So let's take a look at what this program can do with a simple example. 
 
-### Example 1: Renaming all bins in a collection
+### Example 1: Renaming all bins in a collection 
 
-Let's say you have a collection called `MY_COLLECTION`, which has four bins: `really`, `bad`, `bin`, and `names`. These names just won't do, so let's get to renaming. To rename all of my bins and put them into a collection called `SURFACE_OCEAN_SAMPLES`, you could run
+Let's say you have a collection called `MY_COLLECTION`, which has four bins: `really`, `bad`, `bin`, and `names`. These names just won't do, so let's get to renaming. To rename all of my bins and put them into a collection called `SURFACE_OCEAN_SAMPLES`, you could run 
 
 {{ codestart }}
 anvi-rename-bins -c %(contigs-db)s \
@@ -15,15 +15,15 @@ anvi-rename-bins -c %(contigs-db)s \
                  --report-file rename.txt
 {{ codestop }}
 
-And voila! Now you have a second collection named `SURFACE_OCEAN_SAMPLES` that contains your four bins, now named  `SURFACE_OCEAN_Bin_00001`, `SURFACE_OCEAN_Bin_00002`, `SURFACE_OCEAN_Bin_00003`, and `SURFACE_OCEAN_Bin_00004`. The order that the numbers are in represents the quality of the bin as a MAG, given by the completion minus redunancy.
+And voila! Now you have a second collection named `SURFACE_OCEAN_SAMPLES` that contains your four bins, now named  `SURFACE_OCEAN_Bin_00001`, `SURFACE_OCEAN_Bin_00002`, `SURFACE_OCEAN_Bin_00003`, and `SURFACE_OCEAN_Bin_00004`. The order that the numbers are in represents the quality of the bin as a MAG, given by the completion minus redunancy. 
 
-The file `rename.txt` is just a tab-delimited file that contains a summary of your renaming process. The first column has the original name of the bins that you renamed, the second has their new names, and the remaining columns contain information about those bins (like their completion, redundency, and size).
+The file `rename.txt` is just a tab-delimited file that contains a summary of your renaming process. The first column has the original name of the bins that you renamed, the second has their new names, and the remaining columns contain information about those bins (like their completion, redundency, and size). 
 
-### Example 2: Separating out the MAGs
+### Example 2: Separating out the MAGs 
 
-Okay, but what if you want to label your MAGs separately from your bins? You don't like `SURFACE_OCEAN_bin_00004` since it only has a completition stat of 50 percent, and you're not sure if you want to include `SURFACE_OCEAN_bin_00003`  since it has 50 percent redundency. How can you differenciate these iffy bins in your collection?
+Okay, but what if you want to label your MAGs separately from your bins? You don't like `SURFACE_OCEAN_bin_00004` since it only has a completition stat of 50 percent, and you're not sure if you want to include `SURFACE_OCEAN_bin_00003`  since it has 50 percent redundency. How can you differenciate these iffy bins in your collection? 
 
-Here is the solution:
+Here is the solution: 
 
 {{ codestart }}
 anvi-rename-bins -c %(contigs-db)s \
@@ -31,14 +31,14 @@ anvi-rename-bins -c %(contigs-db)s \
                  --prefix SURFACE_OCEAN \
                  --collection-to-read MY_COLLECTION \
                  --collection-to-write SURFACE_OCEAN_MAGS \
-                 --report-file rename.txt \
+                 --report-file rename.txt \ 
                  --call-MAGs \
-                 --min-completion-for-MAG 70
+                 --min-completition-for-MAG 70 
 {{ codestop }}
 
-Now, the collection `SURFACE_OCEAN_MAGS` will include  `SURFACE_OCEAN_MAG_00001`, `SURFACE_OCEAN_MAG_00002`, `SURFACE_OCEAN_MAG_00003`, and `SURFACE_OCEAN_Bin_00004`. These are exactly the same bins that the collection contained before, but now the names differenciate the wheat from the chaff.
+Now, the collection `SURFACE_OCEAN_MAGS` will include  `SURFACE_OCEAN_MAG_00001`, `SURFACE_OCEAN_MAG_00002`, `SURFACE_OCEAN_MAG_00003`, and `SURFACE_OCEAN_Bin_00004`. These are exactly the same bins that the collection contained before, but now the names differenciate the wheat from the chaff. 
 
-Now, let's make that same collection (still called `SURFACE_OCEAN_MAGS`) that doesn't include `SURFACE_OCEAN_Bin_00003` as a MAG, since the redundency is too high for what we want to look at right now.
+Now, let's make that same collection (still called `SURFACE_OCEAN_MAGS`) that doesn't include `SURFACE_OCEAN_Bin_00003` as a MAG, since the redundency is too high for what we want to look at right now. 
 
 {{ codestart }}
 anvi-rename-bins -c %(contigs-db)s \
@@ -46,16 +46,16 @@ anvi-rename-bins -c %(contigs-db)s \
                  --prefix SURFACE_OCEAN \
                  --collection-to-read MY_COLLECTION \
                  --collection-to-write SURFACE_OCEAN_MAGS \
-                 --report-file rename.txt \
-                 --min-completion-for-MAG 70 \
+                 --report-file rename.txt \ 
+                 --min-completition-for-MAG 70 \
                  --max-redundancy-for-MAG 30 \
                  --call-MAGs
 {{ codestop }}
 
 Now `SURFACE_OCEAN_MAGS`   will include  `SURFACE_OCEAN_MAG_00001`  `SURFACE_OCEAN_MAG_00002`,  `SURFACE_OCEAN_Bin_00003`, and `SURFACE_OCEAN_Bin_00004`.
 
-You also have the option to only classify bins above a certain minimum size as MAGs.
+You also have the option to only classify bins above a certain minimum size as MAGs. 
 
 ### Example 3: An example use case in a workflow
 
-For an example use case, on [this page](http://merenlab.org/tutorials/infant-gut/#renaming-bins-in-your-collection-from-chaos-to-order), anvi-rename-bins is used to create a new collection called `MAGs` that contains differenciates bins that have a completion stat of more than 70 percent, and renames all of those bins with the prefix `IGD` (which stands for infant gut dataset).
+For an example use case, on [this page](http://merenlab.org/tutorials/infant-gut/#renaming-bins-in-your-collection-from-chaos-to-order), anvi-rename-bins is used to create a new collection called `MAGs` that contains differenciates bins that have a completion stat of more than 70 percent, and renames all of those bins with the prefix `IGD` (which stands for infant gut dataset). 
diff --git a/anvio/docs/programs/anvi-run-hmms.md b/anvio/docs/programs/anvi-run-hmms.md
index f649c76db4..7c225fa5e5 100644
--- a/anvio/docs/programs/anvi-run-hmms.md
+++ b/anvio/docs/programs/anvi-run-hmms.md
@@ -43,17 +43,6 @@ anvi-run-hmms -c %(contigs-db)s \
 
 See the relevant section in the artifact %(hmm-source)s for details.
 
-### Adding HMM hits as a functional annotation source
-
-By default, HMM hits are not considered functional annotations and are kept in a distinct table (the 'hmm_hits' table) in the contigs database. However, there are certain cases when you may want them to be considered as functions instead. For instance, if you want to run %(anvi-estimate-metabolism)s on a set of user-defined metabolic pathways and you have a set of custom HMMs for their enzymes.
-
-To treat the HMM hits as functional annotations and add them to the 'gene_functions' table in your database, you must use the `--add-to-functions-table` flag:
-
-{{ codestart }}
-anvi-run-hmms -c %(contigs-db)s \
-              -H MY_HMM_PROFILE \
-              --add-to-functions-table
-{{ codestop }}
 
 ### Changing the HMMER program
 
@@ -107,3 +96,4 @@ Please note that this output **won't be used to filter hits to be added to the c
 ### Other things anvi-run-hmms can do
 
 * Add the tag `--also-scan-trnas` to basically run %(anvi-scan-trnas)s for you at the same time. It's very convenient. (But it only works if you are not using the `-I` or `-H` flags at the same time because reasons.)
+
diff --git a/anvio/docs/programs/anvi-script-as-markdown.md b/anvio/docs/programs/anvi-script-as-markdown.md
deleted file mode 100644
index ae964cd9d8..0000000000
--- a/anvio/docs/programs/anvi-script-as-markdown.md
+++ /dev/null
@@ -1,122 +0,0 @@
-A helper script to format TAB-delimited files in markdown for bloggers, tutorial writers, those who wish to share example anvi'o outputs as text on GitHub issues, and so on.
-
-Anvi'o programs often generate TAB-delimited files. While this simple format is useful to pass around to other software or share with others, it is not easily interpretable in visual media. The purpose of this script is to make the sharing part simpler for platforms that can render markdown.
-
-You can pipe any TAB-delimited content to this script:
-
-```
-cat file.txt | anvi-sript-as-markdown
-```
-
-## Examples
-
-Assume a TAB-delmited file with many lines:
-
-``` bash
-wc -l additional_view_data.txt
-
-301 additional_view_data.txt
-```
-
-Contents of which look like this:
-
-``` bash
-head -n 10 additional_view_data.txt
-
-contig	categorical_1	categorical_2	text_layer_01	numerical	bars_main!A	bars_main!B	bars_main!C
-backrest	b	y	nmwje	2.78	278	23	1
-backward	b	x	bqmyujr psrd doefhi	2.49	249	52	2
-backwind	b	y	hkfer lchpmzix	2.69	269	32	3
-backyard	b	x	advoe bfkyhmg	2.05	205	96	4
-bacteria	b	x	lqmcwn hywco	2.63	263	38	5
-bacterin	b		vxqdmn	2.98	298	3	6
-baetylus	b	x	fkgpydi owgyhfx xwlpj	2.19	219	82	7
-bagpiped	b	y	ijmnur	2.12	212	89	8
-balconet	b	y	ecizgs	2.89	289	12	9
-```
-
-### Default run
-
-{{ codestart }}
-head -n 10 additional_view_data.txt | %(anvi-script-as-markdown)s
-{{ codestop }}
-
-which is rendered as,
-
-|**contig**|**categorical_1**|**categorical_2**|**text_layer_01**|**numerical**|**bars_main!A**|**bars_main!B**|**bars_main!C**|
-|:--|:--|:--|:--|:--|:--|:--|:--|
-|backrest|b|y|nmwje|2.78|278|23|1|
-|backward|b|x|bqmyujr psrd doefhi|2.49|249|52|2|
-|backwind|b|y|hkfer lchpmzix|2.69|269|32|3|
-|backyard|b|x|advoe bfkyhmg|2.05|205|96|4|
-|bacteria|b|x|lqmcwn hywco|2.63|263|38|5|
-|bacterin|b||vxqdmn|2.98|298|3|6|
-|baetylus|b|x|fkgpydi owgyhfx xwlpj|2.19|219|82|7|
-|bagpiped|b|y|ijmnur|2.12|212|89|8|
-|balconet|b|y|ecizgs|2.89|289|12|9|
-
-### Limit the number of lines shown
-
-``` bash
-cat additional_view_data.txt | anvi-script-as-markdown --max-num-lines-to-show 10
-```
-
-which is rendered as,
-
-|**contig**|**categorical_1**|**categorical_2**|**text_layer_01**|**numerical**|**bars_main!A**|**bars_main!B**|**bars_main!C**|
-|:--|:--|:--|:--|:--|:--|:--|:--|
-|backrest|b|y|nmwje|2.78|278|23|1|
-|backward|b|x|bqmyujr psrd doefhi|2.49|249|52|2|
-|backwind|b|y|hkfer lchpmzix|2.69|269|32|3|
-|backyard|b|x|advoe bfkyhmg|2.05|205|96|4|
-|bacteria|b|x|lqmcwn hywco|2.63|263|38|5|
-|bacterin|b||vxqdmn|2.98|298|3|6|
-|baetylus|b|x|fkgpydi owgyhfx xwlpj|2.19|219|82|7|
-|bagpiped|b|y|ijmnur|2.12|212|89|8|
-|balconet|b|y|ecizgs|2.89|289|12|9|
-|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|
-
-### Code columns
-
-``` bash
-cat additional_view_data.txt | anvi-script-as-markdown --max-num-lines-to-show 10 \
-                                                       --code-column contig
-```
-
-which is rendered as,
-
-|**contig**|**categorical_1**|**categorical_2**|**text_layer_01**|**numerical**|**bars_main!A**|**bars_main!B**|**bars_main!C**|
-|:--|:--|:--|:--|:--|:--|:--|:--|
-|`backrest`|b|y|nmwje|2.78|278|23|1|
-|`backward`|b|x|bqmyujr psrd doefhi|2.49|249|52|2|
-|`backwind`|b|y|hkfer lchpmzix|2.69|269|32|3|
-|`backyard`|b|x|advoe bfkyhmg|2.05|205|96|4|
-|`bacteria`|b|x|lqmcwn hywco|2.63|263|38|5|
-|`bacterin`|b||vxqdmn|2.98|298|3|6|
-|`baetylus`|b|x|fkgpydi owgyhfx xwlpj|2.19|219|82|7|
-|`bagpiped`|b|y|ijmnur|2.12|212|89|8|
-|`balconet`|b|y|ecizgs|2.89|289|12|9|
-|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|
-
-### Exclude columns from the output
-
-``` bash
-cat additional_view_data.txt | anvi-script-as-markdown --max-num-lines-to-show 10 \
-                                                       --code-column contig \
-                                                       --exclude-columns 'bars_main!A,bars_main!B,bars_main!C'
-```
-
-which is rendered as,
-
-|**contig**|**categorical_1**|**categorical_2**|**text_layer_01**|**numerical**|
-|:--|:--|:--|:--|:--|
-|`backrest`|b|y|nmwje|2.78|
-|`backward`|b|x|bqmyujr psrd doefhi|2.49|
-|`backwind`|b|y|hkfer lchpmzix|2.69|
-|`backyard`|b|x|advoe bfkyhmg|2.05|
-|`bacteria`|b|x|lqmcwn hywco|2.63|
-|`bacterin`|b||vxqdmn|2.98|
-|`baetylus`|b|x|fkgpydi owgyhfx xwlpj|2.19|
-|`bagpiped`|b|y|ijmnur|2.12|
-|`balconet`|b|y|ecizgs|2.89|
-|(...)|(...)|(...)|(...)|(...)|
diff --git a/anvio/docs/programs/anvi-script-fix-homopolymer-indels.md b/anvio/docs/programs/anvi-script-fix-homopolymer-indels.md
index 8cb08b1120..e525574e91 100644
--- a/anvio/docs/programs/anvi-script-fix-homopolymer-indels.md
+++ b/anvio/docs/programs/anvi-script-fix-homopolymer-indels.md
@@ -305,7 +305,7 @@ At the end, there were no more homopolymers associated with INDELs.
 
 **Please consider the following points**:
 
-* If the input and reference genomes are not closely related enough (i.e., expected ANI if there were no sequencing errors > 98%%-99%%), this process may yield very incorrect outcomes. But it should work great for genomes reconstructed from the same culture.
+* If the input and reference genomes are not closely related enough (i.e., expected ANI if there were no sequencing errors > 98%-99%), this process may yield very incorrect outcomes. But it should work great for genomes reconstructed from the same culture.
 
 * The iterative improvement of a given input genome may reach to a 'back-and-forth' situation where there is no overall improvement, but the homopolymers associated with INDELs do not reach to 0. This happens when there are repeats in the reference genome that are identical to each other expect the number of nucleotides in homopolymers.
 
@@ -396,4 +396,4 @@ anvi-pan-genome -g CORRECTED-BY-W48-MHL2-GENOMES.db \
 anvi-display-pan -g CORRECTED-BY-W48-MHL2-GENOMES.db \
                  -p CORRECTED-BY-W48-MHL2/CORRECTED-BY-W48-MHL2-PAN.db \
                  --title "W01 CORRECTED BY W48 w/MHL2"
-```
+```
\ No newline at end of file
diff --git a/anvio/docs/programs/anvi-script-get-primer-matches.md b/anvio/docs/programs/anvi-script-get-primer-matches.md
index 68fa5705ba..200d11f1d4 100644
--- a/anvio/docs/programs/anvi-script-get-primer-matches.md
+++ b/anvio/docs/programs/anvi-script-get-primer-matches.md
@@ -1,6 +1,8 @@
-This program finds all reads in a given set of FASTQ files provided as %(samples-txt)s based on user-provided primer sequences as %(primers-txt)s.
+This program finds all reads in a given set of FASTQ files based on user-provided primer sequences.
 
-One of many potential uses of this program is to get back short reads that may be extending into hypervariable regions of genomes that often suffer from significant drops in coverage in conventional read-recruitment analyses, thus preventing any meaningful insights into coverage or variability patterns. In such situations, one can identify downstream conserved sequences (typically 15 to 25 nucleotides long) using the anvi'o interactive interface or through other means, and then provide those sequences to this program so it can find all matching sequences in a set of FASTQ files without any mapping.
+The primary utility of this program is to get back short reads that may be extending into hypervariable regions of genomes that often suffer from significant drops in coverage in conventional read-recruitment analyses, thus preventing any meaningful insights into coverage or variability patterns.
+
+In these situations, one can identify downstream conserved sequences (typically 15 to 25 nucleotides long) using the anvi'o interactive interface or through other means, and then provide those sequences to this program so it can find all matching sequences in a set of FASTQ files without any mapping.
 
 {:.notice}
 To instead get short reads mapping to a gene, use %(anvi-get-short-reads-mapping-to-a-gene)s.
@@ -8,19 +10,17 @@ To instead get short reads mapping to a gene, use %(anvi-get-short-reads-mapping
 Here is a typical command line to run it:
 
 {{ codestart }}
-anvi-script-get-primer-matches --samples-txt %(samples-txt)s \
-                               --primers-txt %(primers-txt)s \
+anvi-script-get-primer-matches --%(samples-txt)s samples.txt  \
+                               --primer-sequences sequences.txt \
                                --output-dir OUTPUT
 {{ codestop }}
 
-The %(samples-txt)s file is to list all the samples one is interested in, and the %(primers-txt)s file lists each primer sequence of interest, and their user-defined names. Each of these files can contain a single entry, or multiple ones.
+The %(samples-txt)s file is to list all the samples one is interested in, and the primer sequences file lists each primer sequence of interest. Each of these files can contain a single entry, or multiple ones.
 
 This will output all of the matching sequences into three %(fasta)s files in the directory `OUTPUT`. These %(fasta)s files differ in their format and will include those that describe,
 
-* **Raw sequences**: sequences from the FASTQ files that matched to a primer where each sequence reported as is with no processing.
-* **Trimmed sequences**: Raw sequences where the upstream of the primer sequence trimmed, as a result all matching sequences will start at the same position, and
-* **Gapped sequences**: Trimmed sequences padded with gap characters to eliminate length variation artificially.
-
-The last two formats provide downstream possibilities to generate %(oligotypes)s and cluster short reads from an hypervariable region to estimate their diversity and oligotype proportion.
+* Raw sequences: sequences from the FASTQ files that matched to a primer where each sequence reported as is with no processing.
+* Trimmed sequences: Raw sequences where the upstream of the primer sequence trimmed, as a result all matching sequences will start at the same position, and
+* Gapped sequences: Trimmed sequences padded with gap characters to eliminate length variation artificially.
 
-There will only be a single FASTA file in the output directory for raw sequences if the user asked only the primer matches to be reported with the flag `--only-report-primer-matches`.
+The last two formats provide downstream possibilities to generate %(oligotypes)s and cluster short reads from an hypervariable region to estimate their diversity and oligotype proportion. 
diff --git a/anvio/docs/programs/anvi-script-reformat-fasta.md b/anvio/docs/programs/anvi-script-reformat-fasta.md
index 77bdc7f0d0..11faf45535 100644
--- a/anvio/docs/programs/anvi-script-reformat-fasta.md
+++ b/anvio/docs/programs/anvi-script-reformat-fasta.md
@@ -7,19 +7,11 @@ anvi-script-reformat-fasta %(fasta)s \
 {{ codestop }}
 
 {:.notice}
-If you use the flag `--report-file`, it will also create a TAB-delimited file for you to keep track of which defline in the new file corresponds to which defline in the original file.
+If you use the flag *--report-file*, it will also create a TAB-delimited file for you to keep track of which defline in the new file corresponds to which defline in the original file.
 
-In addition to simplifying names, this program will allow you to do a combination of the operations that include,
+### Removing the short reads
 
-* Add a prefix to sequnce names in a FASTA file,
-* Remove sequences that are shorter than a specific length or only keep sequences that match to a specific length,
-* Remove sequences if they contain more than a number of gap characters or exceed the precentage of gap characters you permit,
-* Exclude sequences that match to a list of sequence IDs, or only keep those that match to a list of sequence IDs,
-* Enforce a sequence type to replace any character with `N` for nucleotide sequences that are not A, C, T, or G, or replace any character with `X` for amino acid sequences if the character does not match any of the single-letter amino acid characters.
-
-### Removing the short reads is important
-
-If your FASTA file includes a lot of very short contigs, removing them may dramatically improve the performance of the generation and processing of your %(contigs-db)s. The example below runs the same command while also removing sequences that are shorter than 1,000 nts:
+Removing short contigs from a FASTA file will improve the performance of the %(contigs-db)s later. The example below runs the same command while also removing sequences that are shorter than 1,000 nts:
 
 {{ codestart }}
 anvi-script-reformat-fasta %(fasta)s \
@@ -28,49 +20,3 @@ anvi-script-reformat-fasta %(fasta)s \
                            --simplify-names
 {{ codestop }}
 
-### Example output
-
-```
-anvi-script-reformat-fasta contigs.fa \
-                           --simplify-names \
-                           --prefix YYY \
-                           --min-len 1000 \
-                           --seq-type NT \
-                           --overwrite-input
-```
-
-```
-Input ........................................: contigs.fa
-Output .......................................: (anvi'o will overwrite your input file)
-
-WHAT WAS THERE
-===============================================
-Total num contigs ............................: 4,189
-Total num nucleotides ........................: 35,766,167
-
-WHAT WAS ASKED
-===============================================
-Simplify deflines? ...........................: Yes
-Add prefix to sequence names? ................: Yes, add 'YYY'
-Minimum length of contigs to keep ............: 1,000
-Max %% gaps allowed ...........................: 100.00%%
-Max num gaps allowed .........................: 1,000,000
-Exclude specific sequences? ..................: No
-Keep specific sequences? .....................: No
-Enforce sequence type? .......................: Yes, enforce 'NT'
-
-WHAT HAPPENED
-===============================================
-Contigs removed ..............................: 3,156 (75.34%% of all)
-Nucleotides removed ..........................: 6,121,239 (17.11%% of all)
-Nucleotides modified .........................: 161 (0.00045%% of all)
-Deflines simplified ..........................: True
-
-
-* The contents of your input file have changed because you used the flag
-`--overwrite-input`.
-
-```
-
-{:.warning}
-Please use the flag `--overwrite-input` with extreme caution.
diff --git a/anvio/docs/programs/anvi-search-palindromes.md b/anvio/docs/programs/anvi-search-palindromes.md
deleted file mode 100644
index 495b0a2457..0000000000
--- a/anvio/docs/programs/anvi-search-palindromes.md
+++ /dev/null
@@ -1,225 +0,0 @@
-This program finds [palindromes](https://en.wikipedia.org/wiki/Palindromic_sequence) in any DNA sequence. It will search for palindromes that mathes criteria listed by the user (i.e., minimum lenght of the palindromic sequences, maximum number of mismatches, and minimum distance between the two palindromic regions). The program will print out its findings (and tribulations) and will optionally report the search results as a %(palindromes-txt)s.
-
-Please note that this program can find both perfect palindromes (i.e., the identity and order of nucleotides on one strand match to those on the complementary strand) and special cases of palindromes that form [hairpins](https://en.wikipedia.org/wiki/Stem-loop). You can use the minimum distance parameter to target any group of palindromes (i.e., minimum distance of 0 will report only perfect palindromes).
-
-{:.notice}
-The speed of the algorithm will depend on the minimum palindrome length parameter. The shorter the palindrome length, the longer the processing time. Searching for palindromes longer than 50 nts in a 10,000,000 nts long sequence takes about 4 seconds on a laptop.
-
-### Sequence input sources
-
-%(anvi-search-palindromes)s can use multiple different sequence sources.
-
-#### Contigs database
-
-In this mode %(anvi-search-palindromes)s will go through every contig sequence in a given %(contigs-db)s.
-
-{{ codestart }}
-anvi-search-palindromes -c %(contigs-db)s \
-                        --output-file %(palindromes-txt)s
-{{ codestop }}
-
-#### FASTA file
-
-Alternatively, you can use a %(fasta)s file as input.
-
-{{ codestart }}
-anvi-search-palindromes --fasta-file %(fasta)s \
-                        --output-file %(palindromes-txt)s
-{{ codestop }}
-
-#### DNA sequence
-
-Those who are lazy can also pass a DNA sequence for quick searches:
-
-{{ codestart }}
-anvi-search-palindromes --dna-sequence (.. A DNA SEQUENCE OF ANY LENGTH ..)
-{{ codestop }}
-
-
-### Verbose output
-
-If you provide an `--output-file` parameter, your results will be stored into a %(palindromes-txt)s file for downstream analyses. If you do not provide an output file, or explicitly asked for a verbose output with the flag `--verbose`, you will see all your palindromes listed on your screen.
-
-Here is an example with a single sequence and no output file path:
-
-{{ codestart }}
-%(anvi-search-palindromes)s --dna-sequence CATTGACGTTGACGGCGACCGGTCGGTGATCACCGACCGGTCGCCGTCAACGTCAATG
-{{ codestop }}
-
-```
-SEARCH SETTINGS
-===============================================
-Minimum palindrome length ....................: 10
-Number of mismatches allowed .................: 0
-Minimum gap length ...........................: 0
-Be verbose? ..................................: Yes
-
-
-58 nts palindrome"
-===============================================
-1st sequence [start:stop] ....................: [0:58]
-2nd sequence [start:stop] ....................: [0:58]
-Number of mismatches .........................: 0
-Distance between .............................: 0
-1st sequence .................................: CATTGACGTTGACGGCGACCGGTCGGTGATCACCGACCGGTCGCCGTCAACGTCAATG
-ALN ..........................................: ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
-2nd sequence .................................: CATTGACGTTGACGGCGACCGGTCGGTGATCACCGACCGGTCGCCGTCAACGTCAATG
-
-SEARCH RESULTS
-===============================================
-Total number of sequences processed ..........: 1
-Total number of palindromes found ............: 1
-Longest palindrome ...........................: 58
-Most distant palindrome ......................: 0
-```
-
-Here is another example with a %(contigs-db)s, an output file path, and the `--verbose` flag:
-
-{{ codestart }}
-%(anvi-search-palindromes)s -c CONTIGS.db \
-                         --min-palindrome-length 50 \
-                         --max-num-mismatches 1 \
-                         --output-file palindromes.txt \
-                         --verbose
-{{ codestop }}
-
-```
-SEARCH SETTINGS
-===============================================
-Minimum palindrome length ....................: 50
-Number of mismatches allowed .................: 1
-Minimum gap length ...........................: 0
-Be verbose? ..................................: Yes
-
-147 nts palindrome"
-===============================================
-1st sequence [start:stop] ....................: [268872:269019]
-2nd sequence [start:stop] ....................: [269631:269778]
-Number of mismatches .........................: 1
-Distance between .............................: 759
-1st sequence .................................: TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAAGCTAGAAAAA
-ALN ..........................................: |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||x|||||||||
-2nd sequence .................................: TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAAACTAGAAAAA
-
-SEARCH RESULTS
-===============================================
-Total number of sequences processed ..........: 11
-Total number of palindromes found ............: 1
-Longest palindrome ...........................: 147
-Most distant palindrome ......................: 759
-
-Output file ..................................: palindromes.txt
-```
-
-
-### Programmer access
-
-Just like everything else in anvi'o, you can access the functionality the program `anvi-search-palindromes` offers without using the program itself by inheriting an instance from the `Palindromes` class and use it in your own Python scripts.
-
-Here is an example, first with an input file and then an ad hoc sequence. Starting with the file (i.e., an anvi'o %(contigs-db)s):
-
-``` python
-# import argparse to pass arguments to the class
-import argparse
-
-# `Palindromes` is the class we need
-from anvio.sequencefeatures import Palindromes
-
-# we also import `Progress` and `Run` helper classes from the terminal
-# module to ask the class to print no output messages to our workspace
-# (this is obviously optional)
-from anvio.terminal import Progress, Run
-
-# get an instance for the case of a contigs database, and process everything in it.
-# this example is with an anvi'o contigs db, but you can also pass a FASTA file
-# via `fasta_file='FILE.fa'` instead of `contigs_db='CONTIGS.db'`:
-p = Palindromes(argparse.Namespace(contigs_db='CONTIGS.db', min_palindrome_length=50), run=Run(verbose=False), progress=Progress(verbose=False))
-p.process()
-```
-
-Once the processing is done, the palindromes are stored in a member dictionary, which contains a key for each sequence:
-
-``` python
-print(p.palindromes)
-
->>> {'Day17a_QCcontig1' : [],
-     'Day17a_QCcontig2' : [],
-     'Day17a_QCcontig4' : [<anvio.sequencefeatures.Palindrome object at 0x7f8d6072f278>],
-     'Day17a_QCcontig6' : [],
-     'Day17a_QCcontig10': [], 
-     'Day17a_QCcontig16': [],
-     'Day17a_QCcontig23': [],
-     'Day17a_QCcontig24': [],
-     'Day17a_QCcontig45': [],
-     'Day17a_QCcontig54': [],
-     'Day17a_QCcontig97': []}
-
-```
-
-Non-empty arrays are the proper palindromes found in a given sequence, described with an instance of the class `Palindrome` which is defined as the following:
-
-``` python
-class Palindrome:
-    def __init__(self, run=terminal.Run()):
-        self.run=run
-        self.first_start = None
-        self.fisrt_end = None
-        self.first_sequence = None
-        self.second_start = None
-        self.second_end = None
-        self.second_sequence = None
-        self.num_mismatches = None
-        self.length = None
-        self.distance = None
-        self.midline = ''
-```
-
-Not only you can access to each member variable to deal with them, you can easily display the contents of one using the `display()` function:
-
-``` python
-palindrome = p.palindromes['Day17a_QCcontig4'][0]
-print(palindrome)
-
->>> TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAA (268872:269009) :: TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAA (269631:269768)
-
-palindrome.display()
-
->>> 137 nts palindrome"
->>> ===============================================
->>> 1st sequence [start:stop] ....................: [268872:269009]
->>> 2nd sequence [start:stop] ....................: [269631:269768]
->>> Number of mismatches .........................: 0
->>> Distance between .............................: 759
->>> 1st sequence .................................: TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAA
->>> ALN ..........................................: |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
->>> 2nd sequence .................................: TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAA
-```
-
-Alternatively you can process an ad hoc sequence without any input files,
-
-``` python
-p = Palindromes()
-
-# let's set some values for fun,
-p.min_palindrome_length = 14
-p.max_num_mismatches = 1
-
-# to go through some sequences of your liking:
-some_sequences = {'a_sequence': 'CATTGACGTTGACGGCGACCGGTCGGTGATCACCGACCGGTCGCCGTCAACGTCAATG',
-                  'antoher_sequence': 'AAATCGGCCGATTT',
-                  'sequence_with_no_palindrome': 'AAAAAAAAAAAAAA'}
-
-# in this case (where there are no input files) you can call the function `find`,
-# rather than `process`, to populate the `p.palindromes` dictionary:
-for sequence_name in some_sequences:
-    p.find(some_sequences[sequence_name], sequence_name=sequence_name)
-
-# tadaaa:
-print(p.palindromes)
-
->>> {'a_sequence': [<anvio.sequencefeatures.Palindrome object at 0x7fce807ddb00>],
-     'antoher_sequence': [<anvio.sequencefeatures.Palindrome object at 0x7fce807ddc88>],
-     'sequence_with_no_palindrome': []}
-```
-
-If you are a programmer and need more from this module, please let us know.
\ No newline at end of file
diff --git a/anvio/docs/programs/anvi-setup-user-modules.md b/anvio/docs/programs/anvi-setup-user-modules.md
deleted file mode 100644
index 4cb313538b..0000000000
--- a/anvio/docs/programs/anvi-setup-user-modules.md
+++ /dev/null
@@ -1,81 +0,0 @@
-This program creates a %(modules-db)s out of a set of user-defined metabolic modules, for use by %(anvi-estimate-metabolism)s.
-
-It takes as input a directory containing module files for each user-defined module, formatted in the same way as KEGG modules are. It parses these modules into the `USER_MODULES.db` database. This directory of user-defined data is referred to as %(user-modules-data)s, and the help page for that artifact contains a detailed account of how to create your own module definitions and estimate their completeness.
-
-This page will give a few details specific to running %(anvi-setup-user-modules)s.
-
-### Default Usage
-
-To run this program, you must provide an input directory containing your module definitions:
-
-{{ codestart }}
-anvi-setup-user-modules --user-modules /path/to/user/data/directory
-{{ codestop }}
-
-This input directory must have a specific format (see section below). The `USER_MODULES.db` will be generated in this directory, so you can use the same path to provide your data to %(anvi-estimate-metabolism)s when you want to estimate completeness for these modules.
-
-### Input directory format
-
-The directory you provide to the `--user-modules` parameter must have another folder inside of it, which must be called `modules`. Inside that `modules` folder, you should put text files containing the definitions of your metabolic modules - one file per module. The file should be named according to the identifier you want the module to have, and should not have any extension.
-
-Here is an example schematic of a proper input directory:
-```
-MY_METABOLISM_DATA_DIR
-  |
-  |- modules
-        |- U00001
-        |- U00002
-        |- U00003
-        |- U00004
-```
-The `U0000x` files in the schematic above each contains a definition for one module. Running `anvi-setup-user-modules --user-modules MY_METABOLISM_DATA_DIR` will produce a `USER_MODULES.db` file in the `MY_METABOLISM_DATA_DIR` folder which contains 4 modules named U00001, U00002, U00003, and U00004 (assuming those files are formatted correctly).
-
-### How do I format the module files?
-
-We use KEGG's system for describing metabolic modules, so you will need to format your metabolic pathways in the same way. Here is an example, for a module file called `U00002` (like in the schematic above):
-```
-ENTRY       U00002
-NAME        Nitrogen fixation (full Nif gene set)
-DEFINITION  K02588+K02586+K02591-K00531 K02587 K02592 K02585
-ORTHOLOGY   K02588  NifH
-            K02586  NifD
-            K02591  NifK
-            K00531  anfG
-            K02587  NifE
-            K02592  NifN
-            K02585  NifB
-CLASS       User modules; Energy metabolism; Nitrogen metabolism
-ANNOTATION_SOURCE  K02588  KOfam
-                    K02586  KOfam
-                    K02591  KOfam
-                    K00531  KOfam
-                    K02587  KOfam
-                    K02592  KOfam
-                    K02585  KOfam
-///
-```
-As you can see, there are different data types in the file, named by the all-capital word at the beginning of the line (we call this the 'data name'). The second column of the file is the value corresponding to that type of information ('data value'). Some data names, like ORTHOLOGY and ANNOTATION_SOURCE, also have a 3rd column further defining the data value (which we call the 'data definition'). Each field in the file should be separated by _at least two spaces_. And the file must end with '///' on the last line (don't ask us why).
-
-The data names you see in the example above are the minimum you should include to define the module. Here is a bit more information about each type of data:
-- ENTRY: this is the identifier for the module. It can be anything you want, but should be just one word (underscores and dashes allowed). It should also be the same as the name of the module file. Importantly, this identifier should not be the same as any KEGG module, or you will get an error during setup.
-- NAME: this is the name of the metabolic pathway, which can be any arbitrary string (spaces allowed)
-- DEFINITION: this is the set of enzymes required for the reactions in the metabolic pathway. The enzymes should be identified by their accession numbers in their respective annotation source - in the example above, these are all KOfams, so the enzyme accessions are KO numbers. However, you can use enzymes from any annotation source you like (COGs, Pfams, custom HMMs, etc), as long as you have a way to annotate them in your contigs database. The rules for defining a metabolic pathway in the KEGG fashion are described in the [technical details section](https://merenlab.org/software/anvio/help/main/programs/anvi-estimate-metabolism/#what-data-is-used-for-estimation) of the help page for %(anvi-estimate-metabolism)s, so please read through that section for help with designing your pathway definition.
-- ORTHOLOGY: this section maps the identifier for an enzyme (the second column, or data value) to the functional definition of that enzyme (the third column, or data definition). You need one of these lines for every enzyme in your module DEFINITION line.
-- CLASS: this line categorizes the module. It must be one string with three sections, separated by semi-colons. The first section is the 'class' of the module, the second section is the 'category' of the module, and the third section is the 'sub-category'. Feel free to use the existing KEGG categories to describe your pathway, or to make up something entirely new. Or, if you don't care about this categorization at all, you could just put random strings in each section (as long as you have two semi-colons in the string, you will be golden).
-- ANNOTATION_SOURCE: this section maps the identifier for an enzyme (the second column, or data value) to its annotation source (the third column, or data definition). You need one of these lines for every enzyme in your module DEFINITION line. The annotation source must match the functional annotation source in the contigs database that is associated with the enzyme's annotations. For instance, KOfams annotated with %(anvi-run-kegg-kofams)s have source 'KOfam' (as above), the 2020 COG source from %(anvi-run-ncbi-cogs)s is 'COG20_FUNCTION', the source for custom HMM profiles given to %(anvi-run-hmms)s is the `--hmm-source` directory name, and so on.
-
-You can also define other data names, if you want. Some common ones that can be found in KEGG modules are COMPOUND, REACTION, PATHWAY, COMMENT, REFERENCE, and AUTHORS; but you are not limited by the ones used by KEGG.
-
-Why must we format the module files this way, you ask? Well, to be honest, KEGG modules are formatted like this, and our infrastructure for working with that data has simply been adapted to work with arbitrary, user-defined data. KEGG makes the rules :)
-
-### Specifying KEGG data to be used for sanity checking
-
-If you haven't yet run %(anvi-setup-kegg-kofams)s on your computer, you will get an error when you try to run this program. This is because KEGG data is always used in addition to user-defined modules, and we need to be aware of which KEGG modules exist so we can make sure none of the user-defined modules have the same identifiers as these.
-
-By default, this program looks for the KEGG data in the default location, so if you have set up KEGG data in a non-default directory, you should specify the path to that directory using the `--kegg-data-dir` parameter:
-
-{{ codestart }}
-anvi-setup-user-modules --user-modules /path/to/user/data/directory --kegg-data-dir /path/to/KEGG/data/directory
-{{ codestop }}
-
-If you have multiple KEGG data directories on your computer, you should specify the one that you intend to use (along with this user-defined data) for %(anvi-estimate-metabolism)s downstream. It will not make a difference if all of your modules have identifiers unique from KEGG ones, but just in case they overlap, it is better to catch this during setup rather than later during metabolism estimation. :)
diff --git a/anvio/docs/programs/anvi-split.md b/anvio/docs/programs/anvi-split.md
index 8faa6bd157..1bda6c589d 100644
--- a/anvio/docs/programs/anvi-split.md
+++ b/anvio/docs/programs/anvi-split.md
@@ -1,37 +1,24 @@
-Creates individual, self-contained anvi'o projects for one or more %(bin)ss stored in an anvi'o %(collection)s. This program may be useful if you would like to share a subset of an anvi'o project with the community or a collaborator, or focus on a particular aspect of your data without having to initialize very large files. Altogether, %(anvi-split)s promotoes reproducibility, openness, and collaboration.
+This program **creates smaller, self-contained anvi'o projects for each of the %(bin)ss in your project.** This is useful if you would like to share a subset of an anvi'o project. 
 
-The program can generate %(split-bins)s from metagenomes or pangenomes. To split bins, you can provide the program %(anvi-split)s with a %(contigs-db)s and %(profile-db)s pair. To split gene clusters, you can provide it with a %(genomes-storage-db)s and %(pan-db)s pair. In both cases you will also need a %(collection)s. If you don't provide any %(bin)s names, the program will create individual directories for each bin that is found in your collection. You can also limit the output to a single bin. Each of the resulting directories in your output folder will contain a stand-alone anvi'o project that can be shared without sharing any of the larger dataset.
+Simply provide either a %(contigs-db)s and %(profile-db)s pair or a %(genomes-storage-db)s and %(pan-db)s pair, as well as a %(collection)s, and it will create directories for each of your bins that contain their own databases and information. In other words, each of these directories will contain their own anvi'o projects that represent the contigs or genomes stored in that single bin. 
 
-### An example run
+### An example run 
 
-Assume you have a %(profile-db)s has a %(collection)s with three bins, which are (very creatively) called `BIN_1`, `BIN_2`, and `BIN_3`.
+For example, let's say a %(profile-db)s has a %(collection)s with three bins, which are (very creatively) called `BIN_1`, `BIN_2`, and `BIN_3`.  
 
-If you ran the following code:
+If you ran the following code: 
 
 {{ codestart }}
 anvi-split -p %(profile-db)s \
            -c %(contigs-db)s \
            -C %(collection)s \
-           -o OUTPUT
+           -o MY_PATH
 {{ codestop }}
 
-Alternatively you can specify a bin name to limit the reported bins:
+Then in the location `MY_PATH`, you would have three folders: `BIN_1`, `BIN_2`, and `BIN_3`.  Each one contains its own %(profile-db)s and %(contigs-db)s that only contains the contigs from that bin. You can then give a fellow anvi'o user just the `BIN_1` directory and they can get to work. 
 
-{{ codestart }}
-anvi-split -p %(profile-db)s \
-           -c %(contigs-db)s \
-           -C %(collection)s \
-           --bin-id BIN_1
-           -o OUTPUT
-{{ codestop }}
-
-Similarly, if you provide a %(genomes-storage-db)s and %(pan-db)s pair, the directories will contain their own smaller %(genomes-storage-db)s and %(pan-db)s pairs.
-
-You can always use the program %(anvi-show-collections-and-bins)s to learn available %(collection)s and %(bin)s names in a given %(profile-db)s or %(pan-db)s.
-
-### Performance
+Similarly, if you provide a %(genomes-storage-db)s and %(pan-db)s pair, the directories will contain their own smaller %(genomes-storage-db)s and %(pan-db)s pairs. 
 
-For extremely large datasets, splitting bins may be difficult. For metagenomics projets you can,
+### Other options 
 
-* Use the flag `--skip-variability-tables` to NOT report single-nucleotide variants or single-amino acid variants in your split bins (which can reach hundreds of millions of lines of information for large and complex metagenomes), and/or,
-* Use the flag `--compress-auxiliary-data` to save space. While this is a great option for data that is meant to be stored long-term and shared with the community, the compressed file would need to be manually decompressed by the end-user prior to using the split bin.
+You are also able to skip generating variability tables or compress the auxiliary data to save space. 
diff --git a/anvio/docs/programs/anvi-tabulate-trnaseq.md b/anvio/docs/programs/anvi-tabulate-trnaseq.md
deleted file mode 100644
index 354fa87749..0000000000
--- a/anvio/docs/programs/anvi-tabulate-trnaseq.md
+++ /dev/null
@@ -1,9 +0,0 @@
-This program **generates tabular files of tRNA-seq seed coverage and modification data that are easily manipulable by the user**.
-
-anvi-tabulate-trnaseq is part of the %(trnaseq-workflow)s, and is run following the finalization of tRNA seeds by %(anvi-merge-trnaseq)s.
-
-This program generates a table, %(seeds-specific-txt)s, containing the specific coverage of each nucleotide position in each seed in every sample. If a nonspecific %(trnaseq-profile-db)s is also provided, this program generates a table of nonspecific coverages, %(seeds-non-specific-txt)s. The distinction between specific and nonspecific coverage is explained in the %(trnaseq-profile-db)s artifact. These coverage tables have one row per seed per sample. They have three header rows for different ways of describing tRNA nucleotide positions: canonical position name (e.g., "discriminator_1"), canonical position (e.g., "73"), and "ordinal" position relative to all the other **possible** positions (e.g., "95").
-
-anvi-tabulate-trnaseq also generates a table, %(modifications-txt)s, containing information on each predicted modification position in each seed, with one row per modification per seed per sample. This table includes four columns of position coverage counts of the four nucleotides.
-
-All tables include taxonomic annotations of the seeds; annotations are added to the %(trnaseq-contigs-db)s by %(anvi-run-trna-taxonomy)s.
diff --git a/anvio/docs/programs/anvi-trnaseq.md b/anvio/docs/programs/anvi-trnaseq.md
index eae82446d8..90628614ff 100644
--- a/anvio/docs/programs/anvi-trnaseq.md
+++ b/anvio/docs/programs/anvi-trnaseq.md
@@ -1,45 +1,30 @@
-This program **analyzes a tRNA-seq library, generating de novo predictions of tRNA sequences, structures, and modification positions**.
+The input for this program is a **properly formatted** %(trnaseq-fasta)s, containing sequences from a tRNA-seq sample or split.
 
-A FASTA file of merged paired-end tRNA-seq reads is required as input. This file is produced by the initial steps of the %(trnaseq-workflow)s, in which [Illumina-utils](https://github.com/merenlab/illumina-utils), merges paired-end reads and %(anvi-script-reformat-fasta)s creates anvi'o-compliant deflines in the FASTA file.
+The program identifies tRNA among the input sequences, profiles the tRNA primary sequence and secondary structure, and filters single nucleotide variants from modified nucleotides.
 
-The primary output of anvi-trnaseq is a %(trnaseq-db)s. Supplemental outputs are also produced -- an analysis summary, a tabular file of unique sequences not identified as tRNA, an a tabular file of 5' and 3' extensions trimmed off mature tRNA.
+The primary output of the program is a %(trnaseq-db)s. Supplemental files are also produced: an analysis summary file, a tab-separated file of unique sequences not identified as tRNA, and a tab-separated file showing the range of 5' and 3' variants trimmed from tRNA sequences.
 
-The `anvi-trnaseq --help` menu provides detailed explanations of the parameters controlling the multifacted analyses performed by the program.
+We encourage you to read the list of options in the `anvi-trnaseq --help` menu to understand how the user can manipulate the multifaceted analyses performed by the program.
 
-## Examples
+The program can generate a .ini file for tRNA feature parameterization using an alternate command, `anvi-trnaseq --default-feature-param-file <param.ini>`. The default parameterizations in the file can be modified by the user, and the file can be used as the `--feature-param-file` argument in the main mode of the program. `anvi-trnaseq --print-default-feature-params` can also be used to quickly and neatly display the defaults in the terminal.
 
-*Generate a %(trnaseq-db)s from a sample using 16 cores.*
+
+### Create a tRNA-seq database from a FASTA file, using 16 cores
 
 {{ codestart }}
 anvi-trnaseq -f %(trnaseq-fasta)s \
-             -S SAMPLE_NAME \
-             -o OUTPUT_DIRECTORY \
+             -S example_sample_name \
+             -o example_empty_output_directory_path \
              -T 16
 {{ codestop }}
 
-*Generate a %(trnaseq-db)s from a sample flagged as being treated with demethylase. The output directory is overwritten if it already exists.*
+### Create a tRNA-seq database from a sample identified as a demethylase split, overwriting the output directory if it already exists
 
 {{ codestart }}
 anvi-trnaseq -f %(trnaseq-fasta)s \
-             -S SAMPLE_NAME \
-             -o OUTPUT_DIRECTORY \
+             -S example_sample_name \
+             -o example_empty_output_directory_path \
              -T 16 \
              --treatment demethylase \
-             --overwrite-output-destinations
-{{ codestop }}
-
-## Parameterize tRNA feature profiling
-
-Feature profiling parameters can be modified by the user by in an optional `.ini` file. For example, the user may want a more permissive definition of a tRNA (more false positive identifications of sequences as tRNA, fewer false negative failures to identify sequences as tRNA), increasing the number of unpaired nucleotides allowed in the T stem or increasing the number of unconserved canonical nucleotides allowed in the anticodon loop. Numerous structural parameters like these can be altered.
-
-*Write the `.ini` file to `param.ini`.*
-
-{{ codestart }}
-anvi-trnaseq --default-feature-param-file PARAM.ini
-{{ codestop }}
-
-*Nicely display the `.ini` defaults that can be written to the file in standard output.*
-
-{{ codestart }}
-anvi-trnaseq --print-default-feature-params
-{{ codestop }}
+             -W
+{{ codestop }}
\ No newline at end of file
diff --git a/anvio/docs/programs/anvi-update-structure-database.md b/anvio/docs/programs/anvi-update-structure-database.md
index f231c51402..aee3e51945 100644
--- a/anvio/docs/programs/anvi-update-structure-database.md
+++ b/anvio/docs/programs/anvi-update-structure-database.md
@@ -26,5 +26,4 @@ anvi-update-structure-database -c %(contigs-db)s \
 Now, the program will rerun the analysis for gene 1 and will still add genes 4 and 5 to the %(structure-db)s. 
 
 Both of these runs will have the same MODELLER parameters as your run of %(anvi-gen-structure-database)s. However, to get the raw outputs, you will need to use the parameter `--dump-dir`. You can also set a specific MODELLER program with `--modeller-executable`. Parameters for multi-threading would also have to be given again.
-{:.notice}
-Like %(anvi-gen-structure-database)s, this program also accepts %(external-structures)s.
+
diff --git a/anvio/drivers/MODELLER.py b/anvio/drivers/MODELLER.py
index 1baa9aaa39..27c63e9b19 100644
--- a/anvio/drivers/MODELLER.py
+++ b/anvio/drivers/MODELLER.py
@@ -28,7 +28,7 @@
 __email__ = "kiefl.evan@gmail.com"
 
 
-up_to_date_modeller_exec = "mod10.1" # default exec to use
+up_to_date_modeller_exec = "mod9.23" # default exec to use
 
 J = lambda x, y: os.path.join(x, y)
 
diff --git a/anvio/drivers/blast.py b/anvio/drivers/blast.py
index c527672318..d406238d2c 100644
--- a/anvio/drivers/blast.py
+++ b/anvio/drivers/blast.py
@@ -55,12 +55,14 @@ def __init__(self, query_fasta, target_fasta=None, search_program='blastp', run=
 
         self.search_program = search_program
         self.search_output_path = 'blast-search-results.txt'
-        self.log_file_path = 'blast-log.txt'
         self.max_target_seqs = None
 
         utils.is_program_exists('makeblastdb')
         utils.is_program_exists(self.search_program)
 
+        if not self.run.log_file_path:
+            self.run.log_file_path = 'blast-log-file.txt'
+
         # if names_dict is None, all fine. if not, the query_fasta is assumed to be uniqued, and names_dict is
         # the dictionary that connects the ids in the fasta file, to ids that were identical to it.
         self.names_dict = None
@@ -93,7 +95,7 @@ def check_output(self, expected_output, process='blast'):
         if not len(glob.glob(expected_output)):
             self.progress.end()
             raise ConfigError("Pfft. Something probably went wrong with '%s' process since one of the expected output files are missing. "
-                              "Please check the log file here: '%s'" % (process, self.log_file_path))
+                              "Please check the log file here: '%s'" % (process, self.run.log_file_path))
 
 
     def makedb(self, output_db_path=None, dbtype='prot'):
@@ -109,7 +111,7 @@ def makedb(self, output_db_path=None, dbtype='prot'):
                     '-dbtype', dbtype,
                     '-out', output_db_path or self.target_fasta]
 
-        utils.run_command(cmd_line, self.log_file_path)
+        utils.run_command(cmd_line, self.run.log_file_path)
 
         self.progress.end()
 
@@ -124,7 +126,7 @@ def makedb(self, output_db_path=None, dbtype='prot'):
         self.run.info('BLAST search db', self.target_fasta)
 
 
-    def blast(self, outputfmt='6', word_size=None, strand=None):
+    def blast(self, outputfmt='6'):
         self.run.warning(None, header="NCBI BLAST SEARCH", lc="green")
         cmd_line = [self.search_program,
                     '-query', self.query_fasta,
@@ -137,18 +139,12 @@ def blast(self, outputfmt='6', word_size=None, strand=None):
         if self.max_target_seqs:
             cmd_line += ['-max_target_seqs', self.max_target_seqs]
 
-        if word_size:
-            cmd_line += ['-word_size', word_size]
-
-        if strand:
-            cmd_line += ['-strand', strand]
-
         self.run.info('NCBI %s cmd' % self.search_program, ' '.join([str(p) for p in cmd_line]), quiet=(not anvio.DEBUG))
 
         self.progress.new('BLAST')
         self.progress.update('running search (using %s with %d thread(s)) ...' % (self.search_program, self.num_threads))
 
-        utils.run_command(cmd_line, self.log_file_path)
+        utils.run_command(cmd_line, self.run.log_file_path)
 
         self.progress.end()
 
@@ -179,7 +175,7 @@ def blast_stdin(self, multisequence):
         self.progress.new('BLAST')
         self.progress.update('running search (using %s with %d thread(s)) ...' % (self.search_program, self.num_threads))
 
-        output = utils.run_command_STDIN(cmd_line, self.log_file_path, multisequence, remove_log_file_if_exists=False)
+        output = utils.run_command_STDIN(cmd_line, self.run.log_file_path, multisequence, remove_log_file_if_exists=False)
 
         self.progress.end()
 
diff --git a/anvio/drivers/emapper.py b/anvio/drivers/emapper.py
index a03dd635c5..6bc2011c15 100644
--- a/anvio/drivers/emapper.py
+++ b/anvio/drivers/emapper.py
@@ -102,8 +102,7 @@ def __init__(self, args, database='bact', executable = 'emapper.py', usemem=True
         self.available_parsers = {'2.0.0': self.__parser_3,
                                   '2.0.1': self.__parser_3,
                                   '2.0.5': self.__parser_4,
-                                  '2.1.4': self.__parser_5,
-                                  '2.1.6': self.__parser_5}
+                                  '2.1.4': self.__parser_5}
 
         self.check_version()
 
@@ -321,6 +320,8 @@ def __parser_5(self, defline):
         F = lambda x: fields[x] and fields[x] != '-'
         A = lambda x, y: self.add_entry(gene_callers_id, y, fields[1], ', '.join(fields[x].split(',')), fields[2]) if (fields[x] and fields[x] != '-') else None
 
+        A(9, 'EGGNOG_GO_TERMS')
+
         if (F(7) and not fields[7].startswith('Protein of unknown function')):
             if F(8):
                 self.add_entry(gene_callers_id, 'EGGNOG_%s' % self.database.upper(), fields[1], "%s :: %s" % (fields[8], fields[7]), fields[2])
@@ -339,19 +340,15 @@ def __parser_5(self, defline):
                 pass
 
         A(8, 'EGGNOG_GENE_FUNCTION_NAME')
-        A(9, 'EGGNOG_GO_TERMS')
-        A(6, 'EGGNOG_COG_CATEGORY')
+        A(6, 'EGGNOG_GO_TERMS')
         A(10, 'EGGNOG_EC_NUMBER')
         A(11, 'EGGNOG_KEGG_KO')
         A(12, 'EGGNOG_KEGG_PATHWAYS')
         A(13, 'EGGNOG_KEGG_MODULE')
-        A(13, 'EGGNOG_KEGG_REACTION')
-        A(15, 'EGGNOG_KEGG_RCLASS')
         A(16, 'EGGNOG_BRITE')
         A(17, 'EGGNOG_KEGG_TC')
         A(18, 'EGGNOG_CAZy')
         A(19, 'EGGNOG_BiGG_REACTIONS')
-        A(20, 'EGGNOG_PFAMs')
 
 
     def store_annotations_in_db(self, drop_previous_annotations=False):
diff --git a/anvio/drivers/hmmer.py b/anvio/drivers/hmmer.py
index af2e475ddd..e2cc27df10 100644
--- a/anvio/drivers/hmmer.py
+++ b/anvio/drivers/hmmer.py
@@ -200,19 +200,12 @@ def run_hmmer(self, source, alphabet, context, kind, domain, num_genes_in_model,
 
         num_parts = len(self.target_files_dict[target])
         cores_per_process = 1
-        original_num_threads_requested = None
         if num_parts < self.num_threads_to_use:
             cores_per_process = self.num_threads_to_use // num_parts
 
             self.run.warning(f"You requested {P('core', self.num_threads_to_use)} but there were only {P('sequence', num_parts)} "
                              f"in the FASTA file for the target '{target}'. Anvi'o will use {P('process', num_parts, sfp='es')} "
                              f"with {P('core', cores_per_process)} instead. And that's that.")
-
-            # if we need to change the number of threads for a SINGLE run, then we need to keep
-            # in mind and set the originally reqeusted number of threads. not doing that leads
-            # to an extremely tricky bug that is described here thanks to help from Daan Speth:
-            # https://github.com/merenlab/anvio/issues/1748
-            original_num_threads_requested = self.num_threads_to_use
             self.num_threads_to_use = num_parts
 
         if alphabet in ['DNA', 'RNA'] and self.program_to_use == 'hmmsearch':
@@ -325,12 +318,7 @@ def run_hmmer(self, source, alphabet, context, kind, domain, num_genes_in_model,
             worker.terminate()
 
         self.progress.end()
-
-        if original_num_threads_requested:
-            self.num_threads_to_use = original_num_threads_requested
-            self.run.info_single(f'Done with {source} 🎊 (and num threads requested is set back to {self.num_threads_to_use}).', level=0, nl_before=1, nl_after=1, mc="cyan")
-        else:
-            self.run.info_single(f'Done with {source} 🎊', level=0, nl_before=1, nl_after=1, mc="cyan")
+        self.run.info_single('Done 🎊', level=0, nl_after=1, mc="cyan")
 
         output_file_paths = []
         for output in desired_output:
diff --git a/anvio/drivers/trnscan_se.py b/anvio/drivers/trnscan_se.py
index fa6d028804..2e2b4b6147 100644
--- a/anvio/drivers/trnscan_se.py
+++ b/anvio/drivers/trnscan_se.py
@@ -32,7 +32,7 @@ class tRNAScanSE:
     def __init__(self, args, program_name='tRNAscan-SE', run=None, progress=None, skip_sanity_check=False):
         self.program_name = program_name
 
-        self.tested_versions = ['2.0.5', '2.0.7', '2.0.9']
+        self.tested_versions = ['2.0.5', '2.0.7']
 
         A = lambda x: args.__dict__[x] if x in args.__dict__ else None
         self.num_threads = A('num_threads') or 1
diff --git a/anvio/filesnpaths.py b/anvio/filesnpaths.py
index 95b84a3fef..e21b4259c6 100644
--- a/anvio/filesnpaths.py
+++ b/anvio/filesnpaths.py
@@ -119,7 +119,7 @@ def is_proper_external_gene_calls_file(file_path):
                 call_type = int(fields[6])
             except ValueError:
                 raise FilesNPathsError("Values in the call_type column must be integers :/ Please see "
-                                       "http://anvio.org/help/main/artifacts/external-gene-calls/")
+                                       "http://merenlab.org/software/anvio/help/artifacts/external-gene-calls/")
 
             if call_type not in call_types_allowed:
                 raise FilesNPathsError("Each call type in an external gene calls file must have a value of either "
@@ -184,7 +184,7 @@ def is_file_empty(file_path):
     return os.stat(file_path).st_size == 0
 
 
-def is_file_tab_delimited(file_path, separator='\t', expected_number_of_fields=None, dont_raise=False):
+def is_file_tab_delimited(file_path, separator='\t', expected_number_of_fields=None):
     is_file_exists(file_path)
     f = open(file_path, 'rU')
 
@@ -196,34 +196,22 @@ def is_file_tab_delimited(file_path, separator='\t', expected_number_of_fields=N
             else:
                 break
     except UnicodeDecodeError:
-        if dont_raise:
-            return False
-        else:
-            raise FilesNPathsError("The probability that `%s` is a tab-delimited file is zero." % file_path)
+        raise FilesNPathsError("The probability that `%s` is a tab-delimited file is zero." % file_path)
 
     if len(line.split(separator)) == 1 and expected_number_of_fields != 1:
-        if dont_raise:
-            return False
-        else:
-            raise FilesNPathsError("File '%s' does not seem to have TAB characters. "
-                                   "Did you export this file on MAC using EXCEL? :(" % file_path)
+        raise FilesNPathsError("File '%s' does not seem to have TAB characters. "
+                               "Did you export this file on MAC using EXCEL? :(" % file_path)
 
     f.seek(0)
     num_fields_set = set([len(line.split(separator)) for line in f.readlines()])
     if len(num_fields_set) != 1:
-        if dont_raise:
-            return False
-        else:
-            raise FilesNPathsError("Not all lines in the file '%s' have equal number of fields..." % file_path)
+        raise FilesNPathsError("Not all lines in the file '%s' have equal number of fields..." % file_path)
 
     if expected_number_of_fields:
         num_fields_in_file = list(num_fields_set)[0]
         if num_fields_in_file != expected_number_of_fields:
-            if dont_raise:
-                return False
-            else:
-                raise FilesNPathsError("The expected number of columns for '%s' is %d. Yet, it has %d "
-                                       "of them :/" % (file_path, expected_number_of_fields, num_fields_in_file))
+            raise FilesNPathsError("The expected number of columns for '%s' is %d. Yet, it has %d "
+                                   "of them :/" % (file_path, expected_number_of_fields, num_fields_in_file))
 
     f.close()
     return True
@@ -505,7 +493,7 @@ def append(self, data, **kwargs):
         if self.append_type and (not isinstance(data, self.append_type)):
             raise FilesNPathsError(f"A programmer promised to send data of type '{self.append_type}' to {self.path} for "
                                    f"appending, but instead sent data of type '{type(data)}'. Since the data type for this "
-                                   "file was explicitly declared and the actual data does not match this type, anvi'o will "
+                                   "file was explicitly declared and the actual data does not match this type, Anvi'o will "
                                    "put a stop to this whole operation.")
 
         if isinstance(data, dict):
@@ -513,7 +501,6 @@ def append(self, data, **kwargs):
             self.key_header = kwargs['key_header'] if 'key_header' in kwargs else None
             self.keys_order = kwargs['keys_order'] if 'keys_order' in kwargs else None
             self.header_item_conversion_dict = kwargs['header_item_conversion_dict'] if 'header_item_conversion_dict' in kwargs else None
-            self.do_not_write_key_column = kwargs['do_not_write_key_column'] if 'do_not_write_key_column' in kwargs else False
 
             self.append_dict_to_file(data, self.file_handle)
         elif isinstance(data, str):
@@ -539,13 +526,13 @@ def append_dict_to_file(self, dict_to_append, file_handle):
             Pointer to the file, opened in append mode. The calling function should take care of the
             open() and pass the handle here
         """
-        
+
         import anvio.utils as utils
         if is_file_empty(self.path):
             utils.store_dict_as_TAB_delimited_file(dict_to_append, None, headers=self.headers, file_obj=file_handle, \
                                                     key_header=self.key_header, keys_order=self.keys_order, \
                                                     header_item_conversion_dict=self.header_item_conversion_dict, \
-                                                    do_not_close_file_obj=True, do_not_write_key_column=self.do_not_write_key_column)
+                                                    do_not_close_file_obj=True)
         else:
             # if dictionary is empty, just return
             if not dict_to_append:
diff --git a/anvio/genomedescriptions.py b/anvio/genomedescriptions.py
index ee6f686594..55e372496d 100644
--- a/anvio/genomedescriptions.py
+++ b/anvio/genomedescriptions.py
@@ -806,68 +806,245 @@ def sanity_check(self):
         [utils.is_this_name_OK_for_database('metagenome name "%s"' % metagenome_name, metagenome_name) for metagenome_name in self.metagenomes]
 
 
-    def get_functions_and_sequences_dicts_from_contigs_db(self, metagenome_name, requested_source_list=None, return_only_functions=False):
-        """This function fetches dictionaries of functions, AA sequences, and DNA sequences for a particular metagenome.
+class AggregateGenomes(object):
+    """Aggregate information related to a group of genomes from anywhere.
 
-        PARAMETERS
-        ==========
-        metagenome_name, str
-            the metagenome name you want data for
-        requested_source_list, list
-            the functional annotation sources you want data for.
-        return_only_functions, bool
-            Return only functions, and don't bother with sequences
+    The purpose of this class is to collect all relevant information about
+    a group of genomes comprehensively for downstream analyses. The primary
+    client of this class is genome view.
 
-        RETURNS
-        =======
-        function_calls_dict : dictionary of function annotations
-        aa_sequences_dict : dictionary of corresponding amino acid sequences
-        dna_sequences_dict : dictionary of corresponding nucleotide sequences
+    Please note that despite similar names, the use of this class and the class
+    AggregateFunctions is quite different.
+    """
+
+    def __init__(self, args, run=run, progress=progress, skip_init=False):
+        self.run = run
+        self.progress = progress
+
+        self.args = args
+        self.initialized = False
+
+        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
+        self.external_genomes_file = A('external_genomes')
+        self.internal_genomes_file = A('internal_genomes')
+        self.pan_db_path = A('pan_db')
+
+        if self.pan_db_path:
+            utils.is_pan_db(self.pan_db_path)
+
+
+        self.genome_descriptions = GenomeDescriptions(args, progress=terminal.Progress(verbose=False))
+        self.genome_descriptions.load_genomes_descriptions()
+
+        # critical items for genome view bottleroutes:
+        self.genomes = {}
+        self.gene_associations = {}
+
+        # things to fill in optionally
+        self.continuous_data_layers = {'layers': [], 'data': {}}
+
+        # let's have this ready for convenience:
+        self.genome_names = list(self.genome_descriptions.genomes.keys())
+
+        if not skip_init:
+            self.init()
+
+
+    def init(self, populate_continuous_data=True):
+        """Learn everything about genomes of interest.
+
+        Calling this funciton will populate multiple critical dictionaries this class
+        designed to give access to, including `self.genomes` and `self.gene_associations`.
         """
 
-        if not requested_source_list:
-            raise ConfigError("Someone is trying to call the `get_functions_and_sequences_dicts_from_contigs_db()` from the MetagenomeDescriptions "
-                              "class without providing a list of annotation sources to use. This won't work unfortunately.")
-
-        g = self.metagenomes[metagenome_name]
-
-        if 'gene_function_sources' not in g:
-            raise ConfigError(f"Uh oh. The metagenome you are trying to load functions from ({metagenome_name}) does not appear to have "
-                              f"functional annotation sources initialized.")
-        g_sources = g['gene_function_sources']
-        srcs_missing_from_g = []
-        for s in requested_source_list:
-            if s not in g_sources:
-                srcs_missing_from_g.append(s)
-        if srcs_missing_from_g:
-            req_str = ", ".join(requested_source_list)
-            avail_str = ", ".join(g_sources)
-            miss_str = ", ".join(srcs_missing_from_g)
-            raise ConfigError(f"Whoops. Some of the functional annotation sources you requested for metagenome {metagenome_name} are "
-                              f"not in its contigs database. These are the sources that you asked for: {req_str}. And these are the "
-                              f"sources that are AVAILABLE for this metagenome: {avail_str}. So, the following sources are MISSING: "
-                              f"{miss_str}")
+        # before going through all the gneomes, we will recover gene associations. the reason
+        # we want to do it early on to make sure if there are incompatibilities between genome
+        # names of interest and reosurces provided to learn gene-gene associations (such as the
+        # pan database), they are discovered earlier than later:
+        self.gene_associations = self.get_gene_associations()
 
-        args = argparse.Namespace()
-        args.contigs_db = g['contigs_db_path']
+        # now we will go through genomes of interest, and build our gigantic dictionary
+        for genome_name in self.genome_names:
+            self.genomes[genome_name] = {}
 
-        contigs_super = dbops.ContigsSuperclass(args, r=anvio.terminal.Run(verbose=False))
-        contigs_super.init_functions(requested_sources=requested_source_list)
-        function_calls_dict = contigs_super.gene_function_calls_dict
+            # learn all about genes:
+            self.genomes[genome_name]['genes'] = self.get_genes_dict(genome_name)
 
-        if return_only_functions:
-            return (function_calls_dict, None, None)
+            # learn all about contigs:
+            self.genomes[genome_name]['contigs'] = self.get_contigs_dict(genome_name)
 
-        # get dna sequences
-        gene_caller_ids_list, dna_sequences_dict = contigs_super.get_sequences_for_gene_callers_ids(gene_caller_ids_list=list(g['gene_caller_ids']))
+        self.initialized = True
 
-        # get amino acid sequences.
-        # FIXME: this should be done in the contigs super.
-        contigs_db = dbops.ContigsDatabase(g['contigs_db_path'])
-        aa_sequences_dict = contigs_db.db.get_table_as_dict(t.gene_amino_acid_sequences_table_name)
-        contigs_db.disconnect()
+        if populate_continuous_data:
+            self.populate_genome_continuous_data_layers()
 
-        return (function_calls_dict, aa_sequences_dict, dna_sequences_dict)
+
+    def get_gene_associations(self):
+        """Recovers gene assoctiations through gene clusters found in a pan database.
+
+        FIXME/TODO: also recover gene associations through user-provided input files.
+        """
+
+        d = {}
+
+        # if we have a pan database, we will start with that, first, and learn gene clusters in it:
+        if self.pan_db_path:
+            pan_db = dbops.PanDatabase(self.pan_db_path)
+
+            genome_names_missing_in_pan_db = [g for g in self.genome_names if g not in pan_db.genomes]
+            if len(genome_names_missing_in_pan_db):
+                raise ConfigError(f"You have provided a pan database to recover assocaitions between genes across "
+                                  f"your genomes, but not all genome names in your list of genomes occur in this "
+                                  f"pan database :/ Here is the list of genome names that you are missing: "
+                                  f"{', '.join(genome_names_missing_in_pan_db)}")
+            else:
+                self.run.warning("Anvi'o found each of the genome name you are interested in the pan database you "
+                                 "have provided. Which means the gene cluster information will be recovered for "
+                                 "downstream magic.", header="PAN DATABASE LOOKS GOOD 🚀", lc="green")
+
+            pan_db.disconnect()
+
+
+            pan_db = dbops.PanSuperclass(self.args)
+            pan_db.init_gene_clusters()
+
+            d['anvio-pangenome'] = {}
+            d['anvio-pangenome']['gene-cluster-name-to-genomes-and-genes'] = pan_db.gene_clusters
+            d['anvio-pangenome']['genome-and-gene-names-to-gene-clusters'] = pan_db.gene_callers_id_to_gene_cluster
+
+        return d
+
+
+    def get_genes_dict(self, genome_name):
+        """Learn everything about genes in a genome"""
+
+        contigs_db_path = self.genome_descriptions.genomes[genome_name]['contigs_db_path']
+
+        d = {}
+
+        # learn gene calls, start-stop positions, and so on
+        d['gene_calls'] = db.DB(contigs_db_path, None, ignore_version=True).smart_get(t.genes_in_contigs_table_name, 'gene_callers_id', self.genome_descriptions.genomes[genome_name]['gene_caller_ids'])
+
+        # learn gene functions as well as gene amino acid and DNA sequences
+        d['functions'], d['aa'], d['dna'] = self.genome_descriptions.get_functions_and_sequences_dicts_from_contigs_db(genome_name)
+
+        return d
+
+
+    def populate_continuous_GC_content_data(self):
+        """Add sliding window GC-content change per contig"""
+
+        if not self.initialized:
+            raise ConfigError("You can't populate continuous data layers unless the class is properly initialized.")
+
+        if 'GC_content' not in self.continuous_data_layers['layers']:
+            self.continuous_data_layers['layers'].append('GC_content')
+
+        self.progress.new('Populating continuous data', progress_total_items=len(self.genomes))
+        for genome_name in self.genomes:
+            self.progress.update(f"GC-content for {genome_name}", increment=True)
+
+            if genome_name not in self.continuous_data_layers['data']:
+                self.continuous_data_layers['data'][genome_name] = {}
+
+            self.continuous_data_layers['data'][genome_name]['GC_content'] = {}
+
+            for contig_name in self.genomes[genome_name]['contigs']['info']:
+                contig_sequence = self.genomes[genome_name]['contigs']['dna'][contig_name]['sequence']
+                self.continuous_data_layers['data'][genome_name]['GC_content'][contig_name] = utils.get_GC_content_for_sequence_as_an_array(contig_sequence)
+
+        self.progress.end()
+
+
+    def populate_genome_continuous_data_layers(self, skip_GC_content=False):
+        """Function to populate continuous data layers.
+
+        Calling this function will poupulate the `self.continuous_data_layers` data structure, which will
+        look something like this:
+
+            >>> {
+            >>>   "layers": [
+            >>>     "GC_content",
+            >>>     "Another_layer"
+            >>>   ],
+            >>>   "data": {
+            >>>     "GENOME_01": {
+            >>>       "GC_content": {
+            >>>         "CONTIG_A": [(...)],
+            >>>         "CONTIG_B": [(...)],
+            >>>          (...)
+            >>>       },
+            >>>       "Another_layer": {
+            >>>         "CONTIG_A": [(...)],
+            >>>         "CONTIG_B": [(...)],
+            >>>          (...)
+            >>>       }
+            >>>     },
+            >>>     "GENOME_02": {
+            >>>       "GC_content": {
+            >>>         "CONTIG_C": [(...)],
+            >>>         "CONTIG_D": [(...)],
+            >>>          (...)
+            >>>       },
+            >>>       "Another_layer": {
+            >>>         "CONTIG_C": [(...)],
+            >>>         "CONTIG_D": [(...)],
+            >>>          (...)
+            >>>       }
+            >>>     },
+            >>>     "GENOME_03": {
+            >>>       "GC_content": {
+            >>>         "CONTIG_E": [(...)],
+            >>>         "CONTIG_F": [(...)],
+            >>>          (...)
+            >>>       },
+            >>>       "Another_layer": {
+            >>>         "CONTIG_E": [(...)],
+            >>>         "CONTIG_F": [(...)],
+            >>>          (...)
+            >>>       }
+            >>>     }
+            >>>   }
+            >>> }
+
+
+        Please note: The number of data points in continuous data layers for a given contig will always
+        be equal or less than the number of nucleotides in the same contig. When displaying htese data,
+        one should always assume that the first data point matches to teh first nucleotide position, and
+        cut the information in the layer short when necessary.
+        """
+
+        if not self.initialized:
+            raise ConfigError("You can't populate continuous data layers unless the class is properly initialized.")
+
+        # reset in case it was previously populated
+        self.continuous_data_layers = {'layers': [], 'data': {}}
+
+        for genome_name in self.genomes:
+            self.continuous_data_layers['data'][genome_name] = {}
+
+        # add GC-content
+        if not skip_GC_content:
+            self.populate_continuous_GC_content_data()
+
+
+    def get_contigs_dict(self, genome_name):
+        """Learn everything about contigs associated with a genome"""
+
+        contigs_db_path = self.genome_descriptions.genomes[genome_name]['contigs_db_path']
+
+        d = {}
+
+        # get contig sequences
+        if genome_name in self.genome_descriptions.internal_genome_names:
+            raise ConfigError("This is not yet implemented :( Someone needs to find a rapid way to get contig "
+                              "associated with a set of gene caller ids without having to create an instance "
+                              "of ContigsSuperclass :/")
+        else:
+            d['info'] = db.DB(contigs_db_path, None, ignore_version=True).get_table_as_dict(t.contigs_info_table_name)
+            d['dna'] = db.DB(contigs_db_path, None, ignore_version=True).get_table_as_dict(t.contig_sequences_table_name)
+
+        return d
 
 
 class AggregateFunctions:
diff --git a/anvio/hmmops.py b/anvio/hmmops.py
index 40b8413d65..831dd908b1 100644
--- a/anvio/hmmops.py
+++ b/anvio/hmmops.py
@@ -818,62 +818,3 @@ def store_hmm_sequences_into_FASTA(self, hmm_sequences_dict_for_splits, output_f
             self.__store_concatenated_hmm_sequences_into_FASTA(hmm_sequences_dict_for_splits, output_file_path, partition_file_path, wrap, separator, genes_order, align_with, just_do_it)
         else:
             self.__store_individual_hmm_sequences_into_FASTA(hmm_sequences_dict_for_splits, output_file_path, wrap, separator, genes_order, align_with)
-
-
-class NumGenomesEstimator(SequencesForHMMHits):
-    """A simple interface to get estimated number of genomes from a contigs database.
-
-    Notes for programmers
-    =====================
-    - Major changes in this class should consdier the use case example
-      in `anvio/docs/artifacts/contigs-db.md`.
-    """
-    def __init__(self, contigs_db_path, run=terminal.Run(verbose=False), progress=terminal.Progress(verbose=False)):
-        self.run = run
-        self.progress = progress
-        self.contigs_db_path = contigs_db_path
-
-        SequencesForHMMHits.__init__(self, self.contigs_db_path, run=self.run, progress=self.progress)
-
-        self.estimates_dict = self.get_num_genomes_from_SCG_sources_dict()
-
-        self.per_domain_totals = {}
-        for entry in self.estimates_dict.values():
-            if entry['domain'] not in self.per_domain_totals:
-                self.per_domain_totals[entry['domain']] = 0
-
-            self.per_domain_totals[entry['domain']] += entry['num_genomes']
-
-
-    def num_genomes(self, for_domains=[]):
-        """Higher-order estimate for the number of genomes
-
-        Parameters
-        ==========
-        for_domains, list:
-            The SCG domains you wish the get a tally for. By default, the function will return number of
-            genomes found in all domains.
-
-        Returns
-        =======
-            <num_genomes, domains>, tuple:
-                This function will return a tuple with two items. The first is the total number of genomes
-                estimated, and the second is the domains used for this estimate.
-        """
-
-        if for_domains:
-            missing_domains = [d for d in for_domains if d not in self.per_domain_totals]
-            if len(missing_domains):
-                raise ConfigError(f"One of more of the domains you have requested do not seem to be among those that "
-                                  f"anvi'o knows about \"{', '.join(missing_domains)}\". If what you are seeing is not "
-                                  f"due to a typo, this can happen if you don't have the single-copy core gene set "
-                                  f"to estimate number of genomes that belong to this domain. You perhaps do not have "
-                                  f"them because you didn't run the program `anvi-run-hmms` on your contigs-db with all "
-                                  f"the default HMM collections, or you are a dreamer who wishes some domain you are "
-                                  f"working with is total news to anvi'o. If it is the latter, please get in touch with "
-                                  f"us.")
-
-        if not for_domains:
-            for_domains = list(self.per_domain_totals.keys())
-
-        return (sum([self.per_domain_totals[d] for d in for_domains]), for_domains)
diff --git a/anvio/interactive.py b/anvio/interactive.py
index f7a57ff91d..a77517b8d4 100644
--- a/anvio/interactive.py
+++ b/anvio/interactive.py
@@ -195,7 +195,6 @@ def __init__(self, args, external_clustering=None):
             progress.end()
         elif self.inspect_split_name:
             self.split_names_of_interest = set([self.inspect_split_name])
-            self.skip_check_names = True
 
         if self.contigs_db_path:
             self.contigs_db_variant = utils.get_db_variant(self.contigs_db_path)
@@ -898,13 +897,11 @@ def load_functional_mode(self):
                                         distance=self.distance, linkage=self.linkage, make_default=True if view == 'presence_absence_view' else False,
                                         check_names_consistency=False)
 
-            # if there are more than one genome in the analysis (which should almost always be the case),
             # let's get a layer's order, too, and immediately add it to the database:
-            if num_genomes > 1:
-                layer_order = clustering.get_newick_tree_data_for_dict(self.views[view]['dict'], transpose=True, zero_fill_missing=True, distance=self.distance, linkage=self.linkage)
-                args = argparse.Namespace(profile_db=self.profile_db_path, target_data_table="layer_orders", just_do_it=True)
-                TableForLayerOrders(args, r=terminal.Run(verbose=False)).add({f"{view.upper()}": {'data_type': 'newick', 'data_value': layer_order}}, skip_check_names=True)
-                self.layers_order_data_dict = TableForLayerOrders(args, r=terminal.Run(verbose=False)).get()
+            layer_order = clustering.get_newick_tree_data_for_dict(self.views[view]['dict'], transpose=True, zero_fill_missing=True, distance=self.distance, linkage=self.linkage)
+            args = argparse.Namespace(profile_db=self.profile_db_path, target_data_table="layer_orders", just_do_it=True)
+            TableForLayerOrders(args, r=terminal.Run(verbose=False)).add({f"{view.upper()}": {'data_type': 'newick', 'data_value': layer_order}}, skip_check_names=True)
+            self.layers_order_data_dict = TableForLayerOrders(args, r=terminal.Run(verbose=False)).get()
 
             # add vew tables to the database
             TablesForViews(self.profile_db_path).create_new_view(
@@ -929,9 +926,8 @@ def load_functional_mode(self):
         # AND in here in the interactive class to visualize the information.
         self.items_additional_data_keys, self.items_additional_data_dict = TableForItemAdditionalData(args, r=terminal.Run(verbose=False)).get()
 
-        # everything we need is in the database now. time to add a mini state (note that we
-        # replace the function layer name template with the annotation source on the fly):
-        mini_state = open(os.path.join(os.path.dirname(anvio.__file__), 'data/mini-states/display-functions.json')).read().replace('__FUNCTIONS_LAYER_NAME__', facc.function_annotation_source)
+        # everything we need is in the database now. time to add a mini state:
+        mini_state = open(os.path.join(os.path.dirname(anvio.__file__), 'data/mini-states/display-functions.json')).read()
         TablesForStates(self.profile_db_path).store_state('default', mini_state)
 
         # create an instance of states table
@@ -969,11 +965,6 @@ def load_refine_mode(self):
         self.run.info('Number of bins', len(self.bin_names_of_interest))
         self.run.info('Number of splits', len(self.split_names_of_interest))
 
-        if not len(self.split_names_of_interest):
-            raise ConfigError("Something must have gone wrong :/ You are knee deep in refine mode, and have "
-                              "zero split names to work with. You have to go back, Kate. Like, ALL the way "
-                              "back to complaining to the developers on Slack or something :(")
-
         if not self.skip_hierarchical_clustering:
             item_orders = self.cluster_splits_of_interest()
 
@@ -1125,7 +1116,7 @@ def load_collection_mode(self):
             views_for_collection[view] = d
 
         default_clustering_class = 'mean_coverage' if self.p_meta['merged'] else 'single'
-        self.p_meta['default_item_order'] = get_default_item_order_name(default_clustering_class, self.p_meta['item_orders'])
+        self.p_meta['default_item_order'] = get_default_item_order_name(default_clustering_class, self.p_meta['available_item_orders'])
 
         # replace self.views with the new view:
         self.views = views_for_collection
@@ -1220,17 +1211,7 @@ def load_full_mode(self):
         if not self.skip_init_functions:
             self.init_functions()
 
-        if self.mode == 'refine':
-            # the refine trick: initialize profile super without a collection
-            # name since we already know our split names:
-            collection_name = self.collection_name
-            self.collection_name = None
-            self.args.collection_name = None
-            ProfileSuperclass.__init__(self, self.args)
-            self.collection_name = collection_name
-            self.args.collection_name = collection_name
-        else:
-            ProfileSuperclass.__init__(self, self.args)
+        ProfileSuperclass.__init__(self, self.args)
 
         # init item additional data
         ProfileSuperclass.init_items_additional_data(self)
@@ -1320,9 +1301,8 @@ def load_full_mode(self):
 
         self.p_meta['item_orders'] = self.item_orders
 
-        # add user tree if there is one (but skip the collection mode as it adds its own trees)
-        if not self.mode == 'collection':
-            self.add_user_tree()
+        # add user tree if there is one
+        self.add_user_tree()
 
         # set title
         if self.title:
@@ -1479,7 +1459,6 @@ def load_gene_mode(self):
     def add_user_tree(self):
         if self.tree:
             clustering_id = '%s:unknown:unknown' % filesnpaths.get_name_from_file_path(self.tree)
-
             if not self.p_meta['item_orders']:
                 self.p_meta['default_item_order'] = clustering_id
                 self.p_meta['available_item_orders'] = [clustering_id]
@@ -1494,21 +1473,15 @@ def add_user_tree(self):
                 item_names_in_collection = set(self.collection.keys())
                 item_names_in_user_tree = set(utils.get_names_order_from_newick_tree(self.tree, names_with_only_digits_ok=True))
                 if not item_names_in_collection == item_names_in_user_tree:
-                    if anvio.FORCE_USE_MY_TREE:
-                        run.warning(f"Anvi'o told you that the tree file you provided had {len(item_names_in_user_tree)} names, which "
-                                    f"the {len(item_names_in_collection)} names in the collection '{self.collection_name}', but you said "
-                                    f"--force-use-my-tree. So that's what will happen now (and you will thank Obama if things go wrong)",
-                                    header="YOU USED YOUR AUTHORITY ◔_◔")
-                    else:
-                        raise ConfigError(f"You are attempting to run the anvi'o interactive in collection mode, and you ALSO provide a "
-                                          f"tree file to organize your items. Which is all great and this is exactly what anvi'o is for. "
-                                          f"But it seems the {len(item_names_in_user_tree)} items in your tree file do not match to the "
-                                          f"{len(item_names_in_collection)} item names the '{self.collection_name}' collection  describes :/ "
-                                          f"In case it helps you solve this puzzle, here is a name that appears in your tree file: "
-                                          f"'{item_names_in_user_tree.pop()}'. And here is a name that appears in your collection: "
-                                          f"'{item_names_in_collection.pop()}'. If they look good to you, then the problem may be related to "
-                                          f"items that are only in your collection and not in your tree, or vice versa. There should be a one "
-                                          f"to one match between the two.")
+                    raise ConfigError(f"You are attempting to run the anvi'o interactive in collection mode, and you ALSO provide a "
+                                      f"tree file to organize your items. Which is all great and this is exactly what anvi'o is for. "
+                                      f"But it seems the {len(item_names_in_user_tree)} items in your tree file do not match to the "
+                                      f"{len(item_names_in_collection)} item names the '{self.collection_name}' collection  describes :/ "
+                                      f"In case it helps you solve this puzzle, here is a name that appears in your tree file: "
+                                      f"'{item_names_in_user_tree.pop()}'. And here is a name that appears in your collection: "
+                                      f"'{item_names_in_collection.pop()}'. If they look good to you, then the problem may be related to "
+                                      f"items that are only in your collection and not in your tree, or vice versa. There should be a one "
+                                      f"to one match between the two.")
 
 
     def update_items_additional_data_with_functions_per_split_summary(self):
diff --git a/anvio/inversions.py b/anvio/inversions.py
deleted file mode 100644
index 06bb0dc59f..0000000000
--- a/anvio/inversions.py
+++ /dev/null
@@ -1,415 +0,0 @@
-# -*- coding: utf-8
-# pylint: disable=line-too-long
-"""A module to characterize Florian's inversions"""
-
-import os
-import argparse
-import numpy as np
-
-import anvio
-import anvio.tables as t
-import anvio.dbinfo as dbi
-import anvio.dbops as dbops
-import anvio.utils as utils
-import anvio.bamops as bamops
-import anvio.terminal as terminal
-import anvio.auxiliarydataops as auxiliarydataops
-
-from anvio.errors import ConfigError
-from anvio.sequencefeatures import Palindromes
-
-
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
-__credits__ = []
-__license__ = "GPL 3.0"
-__version__ = anvio.__version__
-__maintainer__ = "A. Murat Eren"
-__email__ = "a.murat.eren@gmail.com"
-__status__ = "Development"
-
-
-pp = terminal.pretty_print
-PL = terminal.pluralize
-run_quiet = terminal.Run(verbose=False)
-progress_quiet = terminal.Progress(verbose=False)
-
-
-class Inversions:
-    def __init__(self, args, skip_sanity_check=False, run=terminal.Run(), progress=terminal.Progress()):
-        self.args = args
-        self.run = run
-        self.progress = progress
-
-        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
-        self.bams_and_profiles_file_path = A('bams_and_profiles')
-
-        if not self.bams_and_profiles_file_path:
-            raise ConfigError("Sorry, you can't get an instance of this class without a `--bams-and-profiles` argument.")
-
-        # get these filled in immediately
-        self.contigs_db_path, self.profile_db_bam_file_pairs = utils.get_bams_and_profiles_txt_as_data(self.bams_and_profiles_file_path)
-        self.profile_db_paths = [e['profile_db_path'] for e in self.profile_db_bam_file_pairs.values()]
-
-        # params to identify regions of interest. if you are studying the code, don't forget to read
-        # the information stored in the help menu of the program about these parameters
-        self.min_coverage_to_define_stretches = A('min_coverage_to_define_stretches') or 10
-        self.min_stretch_length = A('min_stretch_length') or 50
-        self.min_distance_between_independent_stretches = A('min_distance_between_independent_stretches') or 2000
-        self.num_nts_to_pad_a_stretch = A('num_nts_to_pad-a_stretch') or 100
-
-        # palindrome search parameters
-        self.min_palindrome_length = A('min_palindrome_length') or 10
-        self.max_num_mismatches = A('max_num_mismatches') or 0
-        self.min_distance_palindrome = A('min-distance') or 50
-
-        # parameters to survey inversions
-        self.process_only_inverted_reads = A('process_only_inverted_reads')
-
-        # be talkative or not
-        self.verbose = A('verbose')
-
-        # debugging mode:
-        self.only_report_from = A('only_report_from')
-
-        if self.only_report_from:
-            self.verbose = True
-
-        if not skip_sanity_check:
-            self.sanity_check()
-
-        # we will generate our splits info and contigs to splits dicts here.
-        split_names = utils.get_all_item_names_from_the_database(self.profile_db_paths[0])
-        contigs_db = dbops.ContigsDatabase(self.contigs_db_path, run=run_quiet, progress=progress_quiet)
-        self.splits_basic_info = contigs_db.db.smart_get(t.splits_info_table_name, column='split', data=split_names)
-        self.contig_sequences = contigs_db.db.get_table_as_dict(t.contig_sequences_table_name)
-        contigs_db.disconnect()
-
-        # next, we will generate a dictionary to convert contig names to split names
-        self.contig_name_to_split_names = {}
-        for split_name in sorted(self.splits_basic_info.keys()):
-            contig_name = self.splits_basic_info[split_name]['parent']
-
-            if contig_name not in self.contig_name_to_split_names:
-                self.contig_name_to_split_names[contig_name] = []
-
-            self.contig_name_to_split_names[contig_name].append(split_name)
-
-        # let's have a variable of convenience:
-        self.contig_names = sorted(list(self.contig_name_to_split_names.keys()))
-
-
-    def process_db(self, entry_name, profile_db_path, bam_file_path):
-        """Function that does everything.
-
-        `entry_name` is the entry name in bams and profiles file.
-        """
-
-        self.progress.new(f"Processing '{entry_name}'")
-
-        ################################################################################
-        self.progress.update("Recovering the coverage data")
-        ################################################################################
-
-        profile_db = dbops.ProfileSuperclass(argparse.Namespace(profile_db=profile_db_path, contigs_db=self.contigs_db_path), r=run_quiet, p=progress_quiet)
-        sample_id = profile_db.p_meta['sample_id']
-
-        # here we open our bam file with an inversions fetch filter.
-        # we will access to it later when it is time to get the FWD/FWD and
-        # REV/REV reads.
-        bam_file = bamops.BAMFileObject(bam_file_path, 'rb')
-
-        if self.process_only_inverted_reads:
-            bam_file.fetch_filter = 'inversions'
-        else:
-            bam_file.fetch_filter = None
-
-        ################################################################################
-        self.progress.update("Computing coverage stretches")
-        ################################################################################
-        # populate coverage stretches in contigs based on coverage data in this
-        # particular profile_db. we will then go through each stretch to find
-        # those that include palindromic sequences
-        contig_coverages = {}
-        coverage_stretches_in_contigs = {}
-        for contig_name in self.contig_names:
-            contig_coverage = np.array([])
-
-            split_names = self.contig_name_to_split_names[contig_name]
-
-            for i in range(len(split_names)):
-                split_name = split_names[i]
-                split_coverages = auxiliarydataops.AuxiliaryDataForSplitCoverages(profile_db.auxiliary_data_path, profile_db.p_meta['contigs_db_hash']).get(split_name)
-                contig_coverage = np.concatenate((contig_coverage, split_coverages[sample_id]), axis=None)
-
-            # now we know the `contig_coverage`. it is time to break it into stretches
-            # of 'high coverage' regions (as in coverage > `self.min_coverage_to_define_stretches`), and store that
-            # information into the dictionary `coverage_stretches_in_contigs`
-            coverage_stretches_in_contigs[contig_name] = []
-
-            # we also know the contig length here, so let's keep that in mind:
-            contig_length = len(contig_coverage)
-
-            # to find regions of high coverage, we first need to 'pad' our array to ensure it always
-            # starts and ends with 'low coverage'.
-            regions_of_contig_covered_enough = np.hstack([[False], contig_coverage >= self.min_coverage_to_define_stretches, [False]])
-
-            regions_of_contig_covered_enough_diff = np.diff(regions_of_contig_covered_enough.astype(int))
-            cov_stretch_start_positions = np.where(regions_of_contig_covered_enough_diff == 1)[0]
-            cov_stretch_end_positions = np.where(regions_of_contig_covered_enough_diff == -1)[0]
-
-            # at this stage, `cov_stretch_start_positions` and `cov_stretch_end_positions` contain pairs of
-            # positions that match to the begining and end of stretches. we will remove those that are too
-            # short to be considered, and store the start/end positions for the remaining stretches of
-            # high coverage into the dictionary `coverage_stretches_in_contigs`
-            for i in range(0, len(cov_stretch_start_positions)):
-                cov_stretch_start, cov_stretch_end = cov_stretch_start_positions[i], cov_stretch_end_positions[i]
-
-                if (cov_stretch_end - cov_stretch_start) >= self.min_stretch_length:
-                    coverage_stretches_in_contigs[contig_name].append((cov_stretch_start, cov_stretch_end),)
-
-            # now it is time to merge those stretches of coverage if they are close to one another to avoid
-            # over-splitting areas of coverage due to short regions with low-coverage in the middle like this,
-            # where we wish to identify A and B together in a single stretch:
-            #
-            #                A         B
-            #
-            #                -         -
-            #               ---        --
-            #              -----      -----
-            #             --------   --------
-            #           -----------------------
-            # -----------------------------------------------
-            coverage_stretches_in_contigs[contig_name] = utils.merge_stretches(coverage_stretches_in_contigs[contig_name],
-                                                                               min_distance_between_independent_stretches=self.min_distance_between_independent_stretches)
-            # extend start and stop positions of merged stretches to ENSURE we are not
-            # missing important information because bioinformatics.
-            coverage_stretches_in_contigs[contig_name] = [(0 if (e[0] - self.num_nts_to_pad_a_stretch< 0) else e[0] - self.num_nts_to_pad_a_stretch,
-                                                           contig_length if (e[1] + self.num_nts_to_pad_a_stretch) > contig_length else e[1] + self.num_nts_to_pad_a_stretch) \
-                                                                for e in coverage_stretches_in_contigs[contig_name]]
-
-            contig_coverages[contig_name] = contig_coverage
-
-        ################################################################################
-        self.progress.update("Getting ready to process stretches")
-        ################################################################################
-        # time to go through each stretch and look for palindromes
-        # first, we will set up the Palindromes class
-        _args = argparse.Namespace(min_palindrome_length=self.min_palindrome_length,
-                                   max_num_mismatches=self.max_num_mismatches,
-                                   min_distance=self.min_distance_palindrome)
-
-        P = Palindromes(_args,
-                        run=run_quiet,
-                        progress=progress_quiet)
-        P.verbose = False
-
-        # now we can go through all the stretches to look for palindromes. this is a LOOOOOONG loop.
-        # down below, we will got through each contig name, find stretches of good coverage of FWD/FWD
-        # and REV/REV reads (since their coverage values are stored in the profile db of 'inversions'
-        # type), find palindromes in those sequences that match to those coverage stretches, build some
-        # constructs, and then go through every FWD/FWD and REV/REV read from the BAM file to see if
-        # our constructs occur in any of them, which is the only 100% proof of an active inversion.
-        for contig_name in coverage_stretches_in_contigs:
-            contig_sequence = self.contig_sequences[contig_name]['sequence']
-            for start, stop in coverage_stretches_in_contigs[contig_name]:
-                stretch_sequence_coverage = contig_coverages[contig_name][start:stop]
-                stretch_sequence = contig_sequence[start:stop]
-                sequence_name = f"{contig_name}_{start}_{stop}"
-
-                # if the user wants to learn about only a single sequence, we only
-                # focus on that one and prematurely go to the next stretch unless
-                # there is a match
-                if self.only_report_from and sequence_name != self.only_report_from:
-                    continue
-
-                # before we go any further, let's print out the sequence in consideration
-                # for the user if they used `--verbose`
-                if anvio.DEBUG or self.verbose:
-                    self.progress.reset()
-                    self.run.warning(None, header=f"Palindromes in {sequence_name}", lc='yellow', nl_before=3)
-                    self.run.info_single(f"Sequence {stretch_sequence}", cut_after=0)
-                    self.run.info_single("Coverage:", nl_before=1, nl_after=1)
-                    self.plot_coverage(f"{sequence_name}", stretch_sequence_coverage)
-
-                ################################################################################
-                self.progress.update(f"{contig_name}: looking for palindromes")
-                ################################################################################
-                P.find(stretch_sequence, sequence_name=sequence_name, display_palindromes=False)
-
-                if not len(P.palindromes[sequence_name]):
-                    # there is no palindrome in this one
-                    if anvio.DEBUG or self.verbose:
-                        self.progress.reset()
-                        self.run.info_single("No palindromes in this one :/", mc="red")
-                    continue
-                else:
-                    if anvio.DEBUG or self.verbose:
-                        self.progress.reset()
-                        self.run.info_single(f"The sequence has {PL('palindrome', len(P.palindromes[sequence_name]))}:", mc="green")
-
-                ################################################################################
-                self.progress.update(f"{contig_name}: building constructs")
-                ################################################################################
-                # this is important. here we are getting ready to test each our inversion candidate
-                # by reconstructing Florian's imaginary sequences. in the next step we will see if
-                # any of these sequences are in any of the FWD/FWD or REV/REV reads
-                inversion_candidates = []
-                for inversion_candidate in P.palindromes[sequence_name]:
-                    region_A_start = inversion_candidate.first_start - 6
-                    region_A_end = inversion_candidate.first_start
-                    region_A = stretch_sequence[region_A_start:region_A_end]
-
-                    region_B_start = inversion_candidate.first_end
-                    region_B_end = inversion_candidate.first_end + 6
-                    region_B = stretch_sequence[region_B_start:region_B_end]
-
-                    region_C_start = inversion_candidate.second_start - 6
-                    region_C_end = inversion_candidate.second_start
-                    region_C = stretch_sequence[region_C_start:region_C_end]
-
-                    region_D_start = inversion_candidate.second_end
-                    region_D_end = inversion_candidate.second_end + 6
-                    region_D = stretch_sequence[region_D_start:region_D_end]
-
-                    construct_v1_left = region_A + inversion_candidate.first_sequence + utils.rev_comp(region_C)
-                    construct_v1_right = utils.rev_comp(region_B) + utils.rev_comp(inversion_candidate.second_sequence) + region_D
-
-                    construct_v2_left = region_A + inversion_candidate.second_sequence + utils.rev_comp(region_C)
-                    construct_v2_right = utils.rev_comp(region_B) + utils.rev_comp(inversion_candidate.first_sequence) + region_D
-
-                    # update the palindrome instance with its constructs
-                    inversion_candidate.v1_left = construct_v1_left
-                    inversion_candidate.v1_right = construct_v1_right
-                    inversion_candidate.v2_left = construct_v2_left
-                    inversion_candidate.v2_right = construct_v2_right
-
-                    if anvio.DEBUG or self.verbose:
-                        self.progress.reset()
-                        inversion_candidate.display()
-                        self.run.info("Construct v1 left", construct_v1_left, mc="cyan")
-                        self.run.info("Construct v1 right", construct_v1_right, mc="cyan")
-                        self.run.info("Construct v2 left", construct_v2_left, mc="cyan")
-                        self.run.info("Construct v2 right", construct_v2_right, mc="cyan")
-
-                    inversion_candidates.append(inversion_candidate)
-
-                # here we have, for a given `contig_name` and `start` and `stop` positions of a stretch in it, we have our inversion candidates,
-                ################################################################################
-                self.progress.update(f"{contig_name}[{start}:{stop}]: testing constructs")
-                ################################################################################
-                true_inversion = None
-
-                for read in bam_file.fetch_only(contig_name, start=start, end=stop):
-                    for inversion_candidate in inversion_candidates:
-                        if inversion_candidate.v1_left in read.query_sequence:
-                            true_inversion = inversion_candidate
-                            break
-                        elif inversion_candidate.v1_right in read.query_sequence:
-                            true_inversion = inversion_candidate
-                            break
-                        elif inversion_candidate.v2_left in read.query_sequence:
-                            true_inversion = inversion_candidate
-                            break
-                        elif inversion_candidate.v2_right in read.query_sequence:
-                            true_inversion = inversion_candidate
-                            break
-
-                if anvio.DEBUG or self.verbose:
-                    if true_inversion:
-                        self.progress.reset()
-                        self.run.info_single(f"Of the {PL('inversion candidate', len(inversion_candidates))} above, "
-                                             f"the one below had at least one perfect matches to their constructs in REV/REV or "
-                                             f"FWD/FWD reads from the BAM file:", mc="green", nl_before=1)
-
-                        true_inversion.display()
-                    else:
-                        self.progress.reset()
-                        self.run.info_single(f"No true inversions in this one: none of the REV/REV or FWD/FWD reads "
-                                             f"had any of the constructs in {PL('inversion candidate', len(inversion_candidates))}.",
-                                             mc="red", nl_before=1)
-
-        self.progress.end()
-
-
-    def plot_coverage(self, sequence_name, coverage, num_bins=100):
-        try:
-            import plotext as plt
-        except:
-            self.run.warning("You don't have the `plotext` library to plot data :/ You can "
-                             "install it by running `pip install plotext` in your anvi'o "
-                             "environment.", header="NO PLOT FOR YOU :(")
-
-            return
-
-        plt.clp()
-        plt.title(f"{sequence_name}")
-        plt.xlabel("Position")
-        plt.ylabel("Coverage")
-        plt.plot(coverage, fillx = True)
-        plt.plotsize(self.progress.terminal_width, 25)
-        plt.canvas_color("cloud")
-        plt.axes_color("cloud")
-        plt.ticks_color("iron")
-
-        try:
-            plt.show()
-        except OSError:
-            self.run.warning("Redirecting things into files and working with funny TTYs confuse "
-                             "the plotting services. Is ok tho.", header="NO PLOT FOR YOU :(")
-            pass
-
-
-    def process(self):
-        """Do the processing of everything"""
-
-        w = self.run.width
-        self.run.width += 15
-        self.run.info("[General] Input BAMs and profiles file", os.path.abspath(self.bams_and_profiles_file_path))
-        self.run.info("[General] Number of samples to process", len(self.profile_db_bam_file_pairs))
-        self.run.info("[General] Be talkative (--verbose)?", "True" if self.verbose else "False", nl_after=1)
-
-        self.run.info("[Defining regions] Min coverage to define a stretch", self.min_coverage_to_define_stretches)
-        self.run.info("[Defining regions] Min stretch length", self.min_stretch_length)
-        self.run.info("[Defining regions] Min dist between independent stretches", self.min_distance_between_independent_stretches)
-        self.run.info("[Defining regions] Num nts to pad a ROI", self.num_nts_to_pad_a_stretch, nl_after=1)
-
-        self.run.info("[Palindrome search] min palindrome length", self.min_palindrome_length)
-        self.run.info("[Palindrome search] max num mismatches", self.max_num_mismatches)
-        self.run.info("[Palindrome search] min distance between palindromes", self.min_distance_palindrome, nl_after=1)
-
-        self.run.info("[Inversion search] process only inverted reads?",  "True" if self.process_only_inverted_reads else "False", nl_after=1)
-
-        if self.only_report_from:
-            self.run.info("[Debug] Anvi'o will only report data for:",  self.only_report_from, mc="red", nl_after=1)
-
-        self.run.width = w
-
-        for entry_name in self.profile_db_bam_file_pairs:
-            bam_file_path = self.profile_db_bam_file_pairs[entry_name]['bam_file_path']
-            profile_db_path = self.profile_db_bam_file_pairs[entry_name]['profile_db_path']
-            self.process_db(entry_name, profile_db_path, bam_file_path)
-
-
-    def sanity_check(self):
-        bad_profile_dbs = [p for p in self.profile_db_paths if dbi.DBInfo(self.profile_db_paths[0]).get_self_table()['fetch_filter'] != 'inversions']
-        if len(bad_profile_dbs):
-            if len(bad_profile_dbs) == len(self.profile_db_paths):
-                if len(bad_profile_dbs) == 1:
-                    summary = "The only profile database you have here is also the one with the wrong 'fetch filter' :( CONGRATULATIONS."
-                else:
-                    summary = f"But none of the {PL('database', len(self.profile_db_paths))} here have the right 'fetch filter' :("
-            else:
-                summary = (f"Of the total of {PL('database', len(self.profile_db_paths))} "
-                           f"you are working with, {len(bad_profile_dbs)} {PL('does not', len(bad_profile_dbs), alt='do not')} have "
-                           f"the right 'fetch filter' :/")
-
-            raise ConfigError(f"To report inversions, you must provide this program with one or more profile "
-                              f"databases that have the fetch filter 'inversions'. {summary} PRO TIP: a given profile database "
-                              f"will have a fetch filter 'inversions' only if it was generated by `anvi-profile` with the additional "
-                              f"flag `--fetch-filter inversions`. PLUS, you can always use the program `anvi-db-info` to "
-                              f"learn about whether a fetch filter was used when anvi'o profiled the data. BYE NOW.")
-
-
-    def report(self):
-        raise ConfigError("Nothing to report yet :(")
diff --git a/anvio/kegg.py b/anvio/kegg.py
index 764b729baf..26455166e2 100644
--- a/anvio/kegg.py
+++ b/anvio/kegg.py
@@ -53,34 +53,33 @@
 # data_dict indicates which data dictionary is used for generating the output (modules or kofams)
 # headers list describes which information to include in the output file; see OUTPUT_HEADERS dict below for more info
 # description is what is printed when --list-available-modes parameter is used
-OUTPUT_MODES = {'hits_in_modules': {
-                    'output_suffix': "hits_in_modules.txt",
+OUTPUT_MODES = {'kofam_hits_in_modules': {
+                    'output_suffix': "kofam_hits_in_modules.txt",
                     'data_dict': "modules",
-                    'headers': ["module", "module_is_complete",
+                    'headers': ["unique_id", "kegg_module", "module_is_complete",
                                 "module_completeness", "path_id", "path", "path_completeness",
-                                "enzyme_hit", "gene_caller_id", "contig"],
-                    'description': "Information on each enzyme (gene annotation) that belongs to a module"
+                                "kofam_hit", "gene_caller_id", "contig"],
+                    'description': "Information on each KOfam hit that belongs to a KEGG module"
                     },
                 'modules': {
                     'output_suffix': "modules.txt",
                     'data_dict': "modules",
-                    'headers': ["module", "module_name", "module_class", "module_category",
+                    'headers': ["unique_id", "kegg_module", "module_name", "module_class", "module_category",
                                 "module_subcategory", "module_definition", "module_completeness", "module_is_complete",
-                                "proportion_unique_enzymes_present", "enzymes_unique_to_module", "unique_enzymes_hit_counts",
-                                "enzyme_hits_in_module", "gene_caller_ids_in_module", "warnings"],
-                    'description': "Information on metabolic modules"
+                                "kofam_hits_in_module", "gene_caller_ids_in_module", "warnings"],
+                    'description': "Information on KEGG modules"
                     },
                 'modules_custom': {
                     'output_suffix': "modules_custom.txt",
                     'data_dict': "modules",
                     'headers': None,
-                    'description': "A custom tab-delimited output file where you choose the included modules data using --custom-output-headers"
+                    'description': "A custom tab-delimited output file where you choose the included KEGG modules data using --custom-output-headers"
                     },
-                'hits': {
-                    'output_suffix': "hits.txt",
+                'kofam_hits': {
+                    'output_suffix': "kofam_hits.txt",
                     'data_dict': "kofams",
-                    'headers': ["enzyme", "gene_caller_id", "contig", "modules_with_enzyme", "enzyme_definition"],
-                    'description': "Information on all enzyme annotations in the contigs DB, regardless of module membership"
+                    'headers': ["unique_id", "ko", "gene_caller_id", "contig", "modules_with_ko", "ko_definition"],
+                    'description': "Information on all KOfam hits in the contigs DB, regardless of KEGG module membership"
                     },
                 }
 # dict containing matrix headers of information that we can output in custom mode
@@ -88,66 +87,51 @@
 # cdict_key is the header's key in modules or kofams data dictionary (if any)
 # mode_type indicates which category of output modes (modules or kofams) this header can be used for. If both, this is 'all'
 # description is printed when --list-available-output-headers parameter is used
-OUTPUT_HEADERS = {'module' : {
+OUTPUT_HEADERS = {'unique_id' : {
+                        'cdict_key': None,
+                        'mode_type': 'all',
+                        'description': "Just an integer that keeps our data organized. No real meaning here. Always included in output, so no need to specify it on the command line"
+                        },
+                  'kegg_module' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Module number"
+                        'description': "KEGG module number"
                         },
                   'module_is_complete' : {
                         'cdict_key': 'complete',
                         'mode_type': 'modules',
-                        'description': "Whether a module is considered complete or not based on its percent completeness and the completeness threshold"
+                        'description': "Whether a KEGG module is considered complete or not based on its percent completeness and the completeness threshold"
                         },
                   'module_completeness' : {
                         'cdict_key': 'percent_complete',
                         'mode_type': 'modules',
-                        'description': "Percent completeness of a module"
-                        },
-                  'enzymes_unique_to_module' : {
-                        'cdict_key': None,
-                        'mode_type': 'modules',
-                        'description': "A list of enzymes that only belong to this module (ie, they are not members of multiple modules)"
-                        },
-                  'unique_enzymes_hit_counts' : {
-                        'cdict_key': None,
-                        'mode_type': 'modules',
-                        'description': "How many times each unique enzyme appears in the sample (order of counts corresponds to list in `enzymes_unique_to_module` field)"
-                        },
-                  'proportion_unique_enzymes_present' : {
-                        'cdict_key': 'proportion_unique_enzymes_present',
-                        'mode_type': 'modules',
-                        'description': "Proportion of enzymes unique to this one module that are present in the sample"
-                        },
-                  'unique_enzymes_context_string' : {
-                        'cdict_key': 'unique_enzymes_context_string',
-                        'mode_type': 'modules',
-                        'description': "Describes the unique enzymes contributing to the `proportion_unique_enzymes_present` field"
+                        'description': "Percent completeness of a KEGG module"
                         },
                   'module_name' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Name/description of a module"
+                        'description': "English name/description of a KEGG module"
                         },
                   'module_class' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Metabolism class of a module"
+                        'description': "Metabolism class of a KEGG module"
                         },
                   'module_category' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Metabolism category of a module"
+                        'description': "Metabolism category of a KEGG module"
                         },
                   'module_subcategory' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Metabolism subcategory of a module"
+                        'description': "Metabolism subcategory of a KEGG module"
                         },
                   'module_definition' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Definition string of a module. Describes the metabolic pathway "
-                                       "in terms of the enzymes (KOs, COGs, etc) that belong to the module."
+                        'description': "KEGG-formatted definition of a KEGG module. Describes the metabolic pathway "
+                                       "in terms of the KOS that belong to the module"
                         },
                   'module_substrates' : {
                         'cdict_key': None,
@@ -164,76 +148,75 @@
                   'module_intermediates' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Comma-separated list of compounds that are intermediates in the metabolic pathway "
+                        'description': "Comma-separated list of compounds that are intermediates the metabolic pathway "
                                        "(compounds that are both outputs and inputs of reaction(s) in the pathway)"
                         },
                   'gene_caller_ids_in_module': {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Comma-separated list of gene caller IDs of enzymes that contribute to a module"
+                        'description': "Comma-separated list of gene caller IDs of KOfam hits in a module"
                         },
                   'gene_caller_id': {
                         'cdict_key': None,
                         'mode_type': 'all',
-                        'description': "Gene caller ID of a single enzyme in the contigs DB. If you choose this header, each "
-                                       "line in the output file will be an enzyme annotation"
+                        'description': "Gene caller ID of a single KOfam hit in the contigs DB. If you choose this header, each "
+                                       "line in the output file will be a KOfam hit"
                         },
-                  'enzyme_hits_in_module' : {
+                  'kofam_hits_in_module' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Comma-separated list of enzyme annotations that contribute to a module"
+                        'description': "Comma-separated list of KOfam hits in a module"
                         },
-                  'enzyme_hit' : {
+                  'kofam_hit' : {
                         'cdict_key': 'kofam_hits',
                         'mode_type': 'modules',
-                        'description': "Enzyme identifier for a single annotation (KO, COG, etc). If you choose this header, each line in the output file "
-                                       "will be an enzyme annotation"
+                        'description': "KO number of a single KOfam hit. If you choose this header, each line in the output file "
+                                       "will be a KOfam hit"
                         },
                   'contig' : {
                         'cdict_key': 'genes_to_contigs',
                         'mode_type': 'all',
-                        'description': "Contig that an enzyme annotation is found on. If you choose this header, each line in the output "
-                                       "file will be an enzyme annotation"
+                        'description': "Contig that a KOfam hit is found on. If you choose this header, each line in the output "
+                                       "file will be a KOfam hit"
                         },
                   'path_id' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Integer ID for a path through a module. No real meaning and just for data organization. "
-                                       "If you choose this header, each line in the output file will be an enzyme annotation"
+                        'description': "Integer ID for a path through a KEGG module. No real meaning and just for data organization. "
+                                       "If you choose this header, each line in the output file will be a KOfam hit"
                         },
                   'path' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "A path through a module (a linear sequence of enzymes that together represent each metabolic step "
-                                       "in the module. Most modules have several of these due to enzyme redundancy). If you choose this header, "
-                                       "each line in the output file will be an enzyme annotation"
+                        'description': "A path through a KEGG module (a linear sequence of KOs that together represent each metabolic step "
+                                       "in the module. Most modules have several of these due to KO redundancy). If you choose this header, "
+                                       "each line in the output file will be a KOfam hit"
                         },
                   'path_completeness' : {
                         'cdict_key': 'pathway_completeness',
                         'mode_type': 'modules',
-                        'description': "Percent completeness of a particular path through a module. If you choose this header, each line "
-                                       "in the output file will be an enzyme annotation"
+                        'description': "Percent completeness of a particular path through a KEGG module. If you choose this header, each line "
+                                       "in the output file will be a KOfam hit"
                         },
                   'warnings' : {
                         'cdict_key': 'warnings',
                         'mode_type': 'modules',
-                        'description': "This column holds a comma-separated list of notes about things that might affect completeness "
-                                       "estimates for a module, such as missing enzyme profiles."
+                        'description': "If we are missing a KOfam profile for one of the KOs in a module, there will be a note in this column. "
                         },
-                  'enzyme' : {
+                  'ko' : {
                         'cdict_key': None,
                         'mode_type': 'kofams',
-                        'description': 'Identifier for an enzyme that is annotated in your database(s), ie a KO or COG number'
+                        'description': 'KEGG Orthology (KO) number of a KOfam hit'
                         },
-                  'modules_with_enzyme': {
+                  'modules_with_ko': {
                         'cdict_key': 'modules',
                         'mode_type': 'kofams',
-                        'description': 'A comma-separated list of modules that the enzyme belongs to'
+                        'description': 'A comma-separated list of modules that the KO belongs to'
                         },
-                  'enzyme_definition': {
+                  'ko_definition': {
                         'cdict_key': None,
                         'mode_type': 'kofams',
-                        'description': 'The functional annotation associated with the enzyme'
+                        'description': 'The functional annotation associated with the KO number'
                         },
                   }
 
@@ -241,7 +224,7 @@
 # if you want to add something here, don't forget to add it to the dictionary in the corresponding
 # get_XXX_metadata_dictionary() function
 MODULE_METADATA_HEADERS = ["module_name", "module_class", "module_category", "module_subcategory"]
-KO_METADATA_HEADERS = ["enzyme_definition", "modules_with_enzyme"]
+KO_METADATA_HEADERS = ["ko_definition", "modules_with_ko"]
 
 
 
@@ -253,40 +236,28 @@ def __init__(self, args):
         # default data directory will be called KEGG and will store the KEGG Module data as well
         self.default_kegg_dir = os.path.join(os.path.dirname(anvio.__file__), 'data/misc/KEGG')
         self.kegg_data_dir = A('kegg_data_dir') or self.default_kegg_dir
-        self.user_input_dir = A('user_modules')
-        self.only_user_modules = A('only_user_modules')
         self.orphan_data_dir = os.path.join(self.kegg_data_dir, "orphan_data")
-        self.kegg_module_data_dir = os.path.join(self.kegg_data_dir, "modules")
-        self.kegg_hmm_data_dir = os.path.join(self.kegg_data_dir, "HMMs")
+        self.module_data_dir = os.path.join(self.kegg_data_dir, "modules")
+        self.hmm_data_dir = os.path.join(self.kegg_data_dir, "HMMs")
         self.pathway_data_dir = os.path.join(self.kegg_data_dir, "pathways")
         self.quiet = A('quiet') or False
         self.just_do_it = A('just_do_it')
 
         # shared variables for all KEGG subclasses
-        self.kofam_hmm_file_path = os.path.join(self.kegg_hmm_data_dir, "Kofam.hmm") # file containing concatenated KOfam hmms
+        self.kofam_hmm_file_path = os.path.join(self.hmm_data_dir, "Kofam.hmm") # file containing concatenated KOfam hmms
         self.ko_list_file_path = os.path.join(self.kegg_data_dir, "ko_list.txt")
         self.kegg_module_file = os.path.join(self.kegg_data_dir, "modules.keg")
         self.kegg_pathway_file = os.path.join(self.kegg_data_dir, "pathways.keg")
         self.kegg_modules_db_path = os.path.join(self.kegg_data_dir, "MODULES.db")
 
-        if self.user_input_dir:
-            self.user_module_data_dir = os.path.join(self.user_input_dir, "modules")
-            self.user_modules_db_path = os.path.join(self.user_input_dir, "USER_MODULES.db")
-
-        # sanity check for incompatible arguments
-        if A('kegg_data_dir') and A('only_user_modules'):
-            raise ConfigError("The options --kegg-data-dir and --only-user-modules are incompatible. Please figure out which one you "
-                              "want and try again :)")
-
         # sanity check to prevent automatic overwriting of non-default kegg data dir
-        if self.__class__.__name__ in ['KeggSetup']:
-            if A('reset') and A('kegg_data_dir') and not self.user_input_dir:
-                raise ConfigError("You are attempting to run KEGG setup on a non-default data directory (%s) using the --reset flag. "
-                                  "To avoid automatically deleting a directory that may be important to you, anvi'o refuses to reset "
-                                  "directories that have been specified with --kegg-data-dir. If you really want to get rid of this "
-                                  "directory and regenerate it with KEGG data inside, then please remove the directory yourself using "
-                                  "a command like `rm -r %s`. We are sorry to make you go through this extra trouble, but it really is "
-                                  "the safest way to handle things." % (self.kegg_data_dir, self.kegg_data_dir))
+        if A('reset') and A('kegg_data_dir'):
+            raise ConfigError("You are attempting to run KEGG setup on a non-default data directory (%s) using the --reset flag. "
+                              "To avoid automatically deleting a directory that may be important to you, anvi'o refuses to reset "
+                              "directories that have been specified with --kegg-data-dir. If you really want to get rid of this "
+                              "directory and regenerate it with KEGG data inside, then please remove the directory yourself using "
+                              "a command like `rm -r %s`. We are sorry to make you go through this extra trouble, but it really is "
+                              "the safest way to handle things." % (self.kegg_data_dir, self.kegg_data_dir))
 
 
     def setup_ko_dict(self):
@@ -372,6 +343,47 @@ def get_ko_skip_list(self):
         return skip_list, no_threshold_list
 
 
+    def get_module_metadata_dictionary(self, mnum):
+        """Returns a dictionary of metadata for the given module.
+
+        The dictionary must include all the metadata from MODULE_METADATA_HEADERS,
+        using those headers as keys.
+        """
+
+        mnum_class_dict = self.kegg_modules_db.get_kegg_module_class_dict(mnum, class_value=self.all_modules_in_db[mnum]['CLASS'])
+
+        metadata_dict = {}
+        metadata_dict["module_name"] = self.all_modules_in_db[mnum]['NAME']
+        metadata_dict["module_class"] = mnum_class_dict["class"]
+        metadata_dict["module_category"] = mnum_class_dict["category"]
+        metadata_dict["module_subcategory"] = mnum_class_dict["subcategory"]
+        return metadata_dict
+
+
+    def get_ko_metadata_dictionary(self, knum):
+        """Returns a dictionary of metadata for the given KO.
+
+        The dictionary must include all the metadata from KO_METADATA_HEADERS,
+        using those headers as keys.
+        """
+
+        mod_list = self.all_kos_in_db[knum] if knum in self.all_kos_in_db else None
+        if mod_list:
+            mod_list_str = ",".join(mod_list)
+        else:
+            mod_list_str = "None"
+
+        if knum not in self.ko_dict:
+            raise ConfigError("Something is mysteriously wrong. Your contigs database "
+                              f"has an annotation for KO {knum} but this KO is not in "
+                              "the KO dictionary. This should never have happened.")
+
+        metadata_dict = {}
+        metadata_dict["ko_definition"] = self.ko_dict[knum]['definition']
+        metadata_dict["modules_with_ko"] = mod_list_str
+        return metadata_dict
+
+
 class KeggSetup(KeggContext):
     """Class for setting up KEGG Kofam HMM profiles and modules.
 
@@ -407,77 +419,52 @@ def __init__(self, args, run=run, progress=progress, skip_init=False):
         # init the base class
         KeggContext.__init__(self, self.args)
 
-        if self.user_input_dir:
-            self.run.warning(f"Just so you know, we will be setting up the metabolism data provided at the following "
-                             f"location: '{self.user_input_dir}'. The success of this will be determined by how well you "
-                             f"followed our formatting guidelines, so keep an eye out for errors below.")
-
         filesnpaths.is_program_exists('hmmpress')
 
-        if not self.user_input_dir:
-            # this is to avoid a strange os.path.dirname() bug that returns nothing if the input doesn't look like a path
-            if '/' not in self.kegg_data_dir:
-                self.kegg_data_dir += '/'
-            filesnpaths.is_output_dir_writable(os.path.dirname(self.kegg_data_dir))
-
-            if not args.reset and not anvio.DEBUG and not skip_init:
-                self.is_database_exists()
-
-            if self.download_from_kegg and not self.kegg_archive_path and not skip_init:
-                filesnpaths.gen_output_directory(self.kegg_data_dir, delete_if_exists=args.reset)
-                filesnpaths.gen_output_directory(self.kegg_hmm_data_dir, delete_if_exists=args.reset)
-                filesnpaths.gen_output_directory(self.orphan_data_dir, delete_if_exists=args.reset)
-                filesnpaths.gen_output_directory(self.kegg_module_data_dir, delete_if_exists=args.reset)
-                filesnpaths.gen_output_directory(self.pathway_data_dir, delete_if_exists=args.reset)
-
-            # get KEGG snapshot info for default setup
-            self.target_snapshot = self.kegg_snapshot or 'v2021-12-18'
-            self.target_snapshot_yaml = os.path.join(os.path.dirname(anvio.__file__), 'data/misc/KEGG-SNAPSHOTS.yaml')
-            self.snapshot_dict = utils.get_yaml_as_dict(self.target_snapshot_yaml)
-
-            if self.target_snapshot not in self.snapshot_dict.keys():
-                self.run.warning(None, header="AVAILABLE KEGG SNAPSHOTS", lc="yellow")
-                available_snapshots = sorted(list(self.snapshot_dict.keys()))
-                for snapshot_name in available_snapshots:
-                    self.run.info_single(snapshot_name + (' (latest)' if snapshot_name == available_snapshots[-1] else ''))
-
-                raise ConfigError("Whoops. The KEGG snapshot you requested is not one that is known to anvi'o. Please try again, and "
-                                  "this time pick from the list shown above.")
-
-            # default download path for KEGG snapshot
-            self.default_kegg_data_url = self.snapshot_dict[self.target_snapshot]['url']
-            self.default_kegg_archive_file = self.snapshot_dict[self.target_snapshot]['archive_name']
-
-            # download from KEGG option: ftp path for HMM profiles and KO list
-                # for ko list, add /ko_list.gz to end of url
-                # for profiles, add /profiles.tar.gz  to end of url
-            self.database_url = "ftp://ftp.genome.jp/pub/db/kofam"
-            # dictionary mapping downloaded file name to final decompressed file name or folder location
-            self.files = {'ko_list.gz': self.ko_list_file_path, 'profiles.tar.gz': self.kegg_data_dir}
-
-            # download from KEGG option: module/pathway map htext files and API link
-            self.kegg_module_download_path = "https://www.genome.jp/kegg-bin/download_htext?htext=ko00002.keg&format=htext&filedir="
-            self.kegg_pathway_download_path = "https://www.genome.jp/kegg-bin/download_htext?htext=br08901.keg&format=htext&filedir="
-            self.kegg_rest_api_get = "http://rest.kegg.jp/get"
-
-        else: # user input setup
-            if '/' not in self.user_input_dir:
-                self.user_input_dir += '/'
-            filesnpaths.is_output_dir_writable(os.path.dirname(self.user_input_dir))
-
-            self.check_user_input_dir_format()
-
-            if not args.reset and not skip_init:
-                self.is_user_database_exists()
-
-            if args.reset:
-                self.run.warning("Since you used the --reset flag, anvi'o will get rid of any existing user modules database. "
-                                 "Now ye be warned.")
-                paths_to_remove = [self.user_modules_db_path]
-                for path in paths_to_remove:
-                    if os.path.exists(path):
-                        os.remove(path)
-                        self.run.info("Successfully removed", path)
+        # this is to avoid a strange os.path.dirname() bug that returns nothing if the input doesn't look like a path
+        if '/' not in self.kegg_data_dir:
+            self.kegg_data_dir += '/'
+        filesnpaths.is_output_dir_writable(os.path.dirname(self.kegg_data_dir))
+
+        if not args.reset and not anvio.DEBUG and not skip_init:
+            self.is_database_exists()
+
+        if self.download_from_kegg and not self.kegg_archive_path and not skip_init:
+            filesnpaths.gen_output_directory(self.kegg_data_dir, delete_if_exists=args.reset)
+            filesnpaths.gen_output_directory(self.hmm_data_dir, delete_if_exists=args.reset)
+            filesnpaths.gen_output_directory(self.orphan_data_dir, delete_if_exists=args.reset)
+            filesnpaths.gen_output_directory(self.module_data_dir, delete_if_exists=args.reset)
+            filesnpaths.gen_output_directory(self.pathway_data_dir, delete_if_exists=args.reset)
+
+        # get KEGG snapshot info for default setup
+        self.target_snapshot = self.kegg_snapshot or 'v2020-12-23'
+        self.target_snapshot_yaml = os.path.join(os.path.dirname(anvio.__file__), 'data/misc/KEGG-SNAPSHOTS.yaml')
+        self.snapshot_dict = utils.get_yaml_as_dict(self.target_snapshot_yaml)
+
+        if self.target_snapshot not in self.snapshot_dict.keys():
+            self.run.warning(None, header="AVAILABLE KEGG SNAPSHOTS", lc="yellow")
+            available_snapshots = sorted(list(self.snapshot_dict.keys()))
+            for snapshot_name in available_snapshots:
+                self.run.info_single(snapshot_name + (' (latest)' if snapshot_name == available_snapshots[-1] else ''))
+
+            raise ConfigError("Whoops. The KEGG snapshot you requested is not one that is known to anvi'o. Please try again, and "
+                              "this time pick from the list shown above.")
+
+        # default download path for KEGG snapshot
+        self.default_kegg_data_url = self.snapshot_dict[self.target_snapshot]['url']
+        self.default_kegg_archive_file = self.snapshot_dict[self.target_snapshot]['archive_name']
+
+        # download from KEGG option: ftp path for HMM profiles and KO list
+            # for ko list, add /ko_list.gz to end of url
+            # for profiles, add /profiles.tar.gz  to end of url
+        self.database_url = "ftp://ftp.genome.jp/pub/db/kofam"
+        # dictionary mapping downloaded file name to final decompressed file name or folder location
+        self.files = {'ko_list.gz': self.ko_list_file_path, 'profiles.tar.gz': self.kegg_data_dir}
+
+        # download from KEGG option: module/pathway map htext files and API link
+        self.kegg_module_download_path = "https://www.genome.jp/kegg-bin/download_htext?htext=ko00002.keg&format=htext&filedir="
+        self.kegg_pathway_download_path = "https://www.genome.jp/kegg-bin/download_htext?htext=br08901.keg&format=htext&filedir="
+        self.kegg_rest_api_get = "http://rest.kegg.jp/get"
 
 
     def is_database_exists(self):
@@ -499,11 +486,11 @@ def is_database_exists(self):
                               "delete this directory manually to let this script re-download everything from scratch."
                               % self.kegg_data_dir)
 
-        if os.path.exists(self.kegg_module_data_dir):
+        if os.path.exists(self.module_data_dir):
             raise ConfigError("It seems the KEGG module directory %s already exists on your system. This is even more "
                               "strange because Kofam HMM profiles have not been downloaded. We suggest you to use the "
                               "--reset flag or delete the KEGG directory (%s) manually to download everything from scratch."
-                              % (self.kegg_module_data_dir, self.kegg_data_dir))
+                              % (self.module_data_dir, self.kegg_data_dir))
 
         if os.path.exists(self.pathway_data_dir):
             raise ConfigError("It seems the KEGG pathway directory %s already exists on your system. This is even more "
@@ -512,35 +499,6 @@ def is_database_exists(self):
                               % (self.pathway_data_dir, self.kegg_data_dir))
 
 
-    def check_user_input_dir_format(self):
-        """This function checks whether the user input directory exists and contains the required subfolders
-
-        The required subfolders are:
-            modules : directory containing the user's metabolic pathway definitions (as text files)
-        """
-
-        for path in [self.user_input_dir, self.user_module_data_dir]:
-            if not os.path.exists(path):
-                raise ConfigError(f"There is a problem with the input directory you provided. The following path does not "
-                                  f"exist: '{path}'. Please make sure that your input folder exists and that it follows the "
-                                  f"formatting requirements. We're sorry for asking this of you, but it really helps us make "
-                                  f"sure everything will go smoothly.")
-
-            file_list = [f for f in glob.glob(os.path.join(path, '*'))]
-            if not file_list:
-                raise ConfigError(f"The folder '{path}' appears to be empty, so we have no data to work with. Please make "
-                                  f"sure that you have provided the correct input directory and formatted it correctly so "
-                                  f"that anvi'o can find your data.")
-
-
-    def is_user_database_exists(self):
-        """This function checks whether user data has already been set up in the provided input directory."""
-
-        if os.path.exists(self.user_modules_db_path):
-            raise ConfigError(f"It seems you already have a user modules database installed at '{self.user_modules_db_path}', "
-                              f"please use the --reset flag or delete this file manually if you want to re-generate it.")
-
-
     def download_profiles(self):
         """This function downloads the Kofam profiles."""
 
@@ -730,7 +688,7 @@ def download_modules(self):
 
         # download all modules
         for mnum in self.module_dict.keys():
-            file_path = os.path.join(self.kegg_module_data_dir, mnum)
+            file_path = os.path.join(self.module_data_dir, mnum)
             utils.download_file(self.kegg_rest_api_get + '/' + mnum,
                 file_path, progress=self.progress, run=self.run)
             # verify entire file has been downloaded
@@ -903,7 +861,7 @@ def run_hmmpress(self):
 
         self.progress.update('Running hmmpress...')
         cmd_line = ['hmmpress', self.kofam_hmm_file_path]
-        log_file_path = os.path.join(self.kegg_hmm_data_dir, '00_hmmpress_log.txt')
+        log_file_path = os.path.join(self.hmm_data_dir, '00_hmmpress_log.txt')
         ret_val = utils.run_command(cmd_line, log_file_path)
 
         if ret_val:
@@ -916,55 +874,19 @@ def run_hmmpress(self):
         self.progress.end()
 
 
-    def create_user_modules_dict(self):
-        """This function establishes the self.module_dict parameter for user modules.
-
-        It is essentially a replacement for the process_module_file() function.
-        Since users will not have a modules file to process, we simply create the dictionary from the
-        file names they provide for their module definitions. We don't add any dictionary values,
-        but we won't need them (we hope).
-        """
-
-        user_module_list = [os.path.basename(k) for k in glob.glob(os.path.join(self.user_module_data_dir, '*'))]
-        self.module_dict = {key: {} for key in user_module_list}
-
-        # sanity check that they also have KEGG data since we need to compare module names
-        if not os.path.exists(self.kegg_modules_db_path):
-            raise ConfigError(f"Wait a second. We understand that you are setting up user-defined metabolism data, but "
-                              f"unfortunately you need to FIRST have KEGG data set up on your computer. Why, you ask? "
-                              f"Well, one reason is that we always use KEGG data first when estimating metabolism. And "
-                              f"the other reason is that we need to make sure none of your module names overlap with those "
-                              f"in the KEGG MODULES database. Long story short, we looked for KEGG data at "
-                              f"{self.kegg_modules_db_path} but we couldn't find it. If this is the wrong place for us to be "
-                              f"looking, please run this program again and use the --kegg-data-dir parameter to tell us where "
-                              f"to find it.")
-
-        # sanity check that user module names are distinct
-        kegg_modules_db = ModulesDatabase(self.kegg_modules_db_path, args=self.args, quiet=True)
-        kegg_mods = set(kegg_modules_db.get_all_modules_as_list())
-        user_mods = set(user_module_list)
-        bad_user_mods = kegg_mods.intersection(user_mods)
-        if bad_user_mods:
-            bad_mods_str = ", ".join(bad_user_mods)
-            n = len(bad_user_mods)
-            raise ConfigError(f"Hol'up a minute. You see, there {P('is a module', n, alt='are some modules')} "
-                              f"in your user-defined modules data (at {self.user_module_data_dir}) which {P('has', n, alt='have')} "
-                              f"the same name as an existing KEGG module. This is not allowed, for reasons. Please name {P('that module', n, alt='those modules')} "
-                              f"differently. Append an underscore and your best friend's name to {P('it', n, alt='them')} or something. Just make sure it's "
-                              f"unique. OK? ok. Here is the list of module names you should change: {bad_mods_str}")
-
-
-    def setup_modules_db(self, db_path, module_data_directory, source='KEGG'):
-        """This function creates a Modules DB at the specified path."""
+    def setup_modules_db(self):
+        """This function creates the Modules DB from the KEGG Module files."""
 
         try:
-            mod_db = ModulesDatabase(db_path, module_data_directory=module_data_directory, data_source=source, args=self.args, module_dictionary=self.module_dict, pathway_dictionary=self.pathway_dict, run=run, progress=progress)
+            mod_db = KeggModulesDatabase(self.kegg_modules_db_path, args=self.args, module_dictionary=self.module_dict, pathway_dictionary=self.pathway_dict, run=run, progress=progress)
             mod_db.create()
         except Exception as e:
             print(e)
             raise ConfigError("While attempting to build the MODULES.db, anvi'o encountered an error, which should be printed above. "
                               "If you look at that error and it seems like something you cannot handle, please contact the developers "
-                              "for assistance. :) ")
+                              "for assistance, as it may be possible that a recent update to KEGG has broken our setup process. If that "
+                              "is the case, we may be able to provide you with a legacy KEGG data archive that you can use to set up "
+                              "KEGG with the --kegg-archive flag, while we try to fix things. :) ")
 
 
     def kegg_archive_is_ok(self, unpacked_archive_path):
@@ -986,8 +908,8 @@ def kegg_archive_is_ok(self, unpacked_archive_path):
         # check top-level files and folders
         path_to_kegg_in_archive = os.path.join(unpacked_archive_path, "KEGG")
         expected_directories_and_files = [self.orphan_data_dir,
-                                          self.kegg_module_data_dir,
-                                          self.kegg_hmm_data_dir,
+                                          self.module_data_dir,
+                                          self.hmm_data_dir,
                                           #self.pathway_data_dir,   #TODO: uncomment me when we start incorporating pathways
                                           self.ko_list_file_path,
                                           self.kegg_module_file,
@@ -1002,7 +924,7 @@ def kegg_archive_is_ok(self, unpacked_archive_path):
                                      % (path_to_f_in_archive))
 
         # check hmm files
-        path_to_hmms_in_archive = os.path.join(path_to_kegg_in_archive, os.path.basename(self.kegg_hmm_data_dir))
+        path_to_hmms_in_archive = os.path.join(path_to_kegg_in_archive, os.path.basename(self.hmm_data_dir))
         kofam_hmm_basename = os.path.basename(self.kofam_hmm_file_path)
         expected_hmm_files = [kofam_hmm_basename]
         for h in expected_hmm_files:
@@ -1116,34 +1038,24 @@ def setup_kegg_snapshot(self):
                              "has been kept. You may want to remove it later.")
 
 
-    def setup_user_data(self):
-        """This function sets up user metabolism data from the provided input directory.
+    def setup_data(self):
+        """This is a driver function which executes the KEGG setup process.
 
-        It processes the user's module files into the USER_MODULES.db.
+        It downloads, decompresses, and hmmpresses the KOfam profiles.
+        It also downloads and processes the KEGG Module files into the MODULES.db.
         """
 
-        self.create_user_modules_dict()
-        self.setup_modules_db(db_path=self.user_modules_db_path, module_data_directory=self.user_module_data_dir, source='USER')
-
-
-    def setup_data(self):
-        """This is a driver function which executes the KEGG setup process."""
-
         if self.kegg_archive_path:
             self.setup_from_archive()
         elif self.download_from_kegg:
             # mostly for developers and the adventurous
-            # this downloads, decompresses, and hmmpresses the KOfam profiles
-            # it also downloads and processes the KEGG Module files into the MODULES.db
             self.download_profiles()
             self.decompress_files()
             self.download_modules()
             #self.download_pathways()   # This is commented out because we do not do anything with pathways downstream, but we will in the future.
             self.setup_ko_dict()
             self.run_hmmpress()
-            self.setup_modules_db(db_path=self.kegg_modules_db_path, module_data_directory=self.kegg_module_data_dir)
-        elif self.user_input_dir:
-            self.setup_user_data()
+            self.setup_modules_db()
         else:
             # the default, set up from frozen KEGG release
             self.setup_kegg_snapshot()
@@ -1184,14 +1096,14 @@ def __init__(self, args, run=run, progress=progress):
             raise ConfigError("Anvi'o is unable to find the Kofam.hmm file at %s. This can happen one of two ways. Either you "
                               "didn't specify the correct KEGG data directory using the flag --kegg-data-dir, or you haven't "
                               "yet set up the Kofam data by running `anvi-setup-kegg-kofams`. Hopefully you now know what to do "
-                              "to fix this problem. :) " % self.kegg_hmm_data_dir)
+                              "to fix this problem. :) " % self.hmm_data_dir)
 
         utils.is_contigs_db(self.contigs_db_path)
 
         self.setup_ko_dict() # read the ko_list file into self.ko_dict
 
         # load existing kegg modules db
-        self.kegg_modules_db = ModulesDatabase(self.kegg_modules_db_path, module_data_directory=self.kegg_module_data_dir, args=self.args)
+        self.kegg_modules_db = KeggModulesDatabase(self.kegg_modules_db_path, args=self.args)
 
         # reminder to be a good citizen
         self.run.warning("Anvi'o will annotate your database with the KEGG KOfam database, as described in "
@@ -1613,8 +1525,7 @@ class is nothing but one that iterates through all contigs DBs
         self.json_output_file_path = A('get_raw_data_as_json')
         self.store_json_without_estimation = True if A('store_json_without_estimation') else False
         self.estimate_from_json = A('estimate_from_json') or None
-        self.enzymes_txt = A('enzymes_txt') or None
-        self.output_modes = A('output_modes') or "modules"
+        self.output_modes = A('kegg_output_modes') or A('output_modes') or "modules"
         self.custom_output_headers = A('custom_output_headers') or None
         self.matrix_format = True if A('matrix_format') else False
         self.matrix_include_metadata = True if A('include_metadata') else False
@@ -1635,10 +1546,6 @@ class is nothing but one that iterates through all contigs DBs
         if A('module_completion_threshold') == 0:
             self.module_completion_threshold = 0.0
 
-        # we use the below flag to find out if long format output was explicitly requested
-        # this gets around the fact that we always assign 'modules' as the default output mode
-        self.long_format_mode = True if args.output_modes else False
-
         # output modes and headers that we can handle
         self.available_modes = OUTPUT_MODES
         self.available_headers = OUTPUT_HEADERS
@@ -1657,6 +1564,12 @@ class is nothing but one that iterates through all contigs DBs
         # parse requested output headers if necessary
         if self.custom_output_headers and isinstance(self.custom_output_headers, str):
             self.custom_output_headers = self.custom_output_headers.split(",")
+
+            if "unique_id" not in self.custom_output_headers:
+                self.custom_output_headers = ["unique_id"] + self.custom_output_headers
+            elif self.custom_output_headers.index("unique_id") != 0:
+                self.custom_output_headers.remove("unique_id")
+                self.custom_output_headers = ["unique_id"] + self.custom_output_headers
             self.available_modes['modules_custom']['headers'] = self.custom_output_headers
 
         # parse specific matrix modules if necessary
@@ -1682,224 +1595,6 @@ def setup_output_for_appending(self):
         return output_dict
 
 
-    def init_data_from_modules_db(self):
-        """This function reads mucho data from the modules database(s) into dictionaries for later access.
-
-        It generates the self.all_modules_in_db dictionary, which contains all data for all modules
-        in the db, keyed by module number.
-        It also generates the self.all_kos_in_db dictionary, which maps each enzyme in the db to its list of modules.
-        Note that self.all_kos_in_db can contain module numbers, in cases when the module is a component of another module.
-        It also generates the self.module_paths_dict dictionary by calling the appropriate function.
-
-        We do this once at the start so as to reduce the number of on-the-fly database queries
-        that have to happen during the estimation process.
-        """
-
-        self.all_modules_in_db = {}
-        self.all_kos_in_db = {}
-        self.module_paths_dict = {}
-
-        # LOAD KEGG DATA (MODULES)
-        if not self.only_user_modules:
-            self.kegg_modules_db = ModulesDatabase(self.kegg_modules_db_path, args=self.args, run=run_quiet, quiet=self.quiet)
-            self.all_modules_in_db = self.kegg_modules_db.get_modules_table_as_dict()
-            # mark that these modules all came from KEGG
-            for mod in self.all_modules_in_db:
-                self.all_modules_in_db[mod]['MODULES_DB_SOURCE'] = "KEGG"
-
-                # add compound lists into self.all_modules_in_db
-                module_substrate_list, module_intermediate_list, module_product_list = self.kegg_modules_db.get_human_readable_compound_lists_for_module(mod)
-                self.all_modules_in_db[mod]['substrate_list'] = module_substrate_list
-                self.all_modules_in_db[mod]['intermediate_list'] = module_intermediate_list
-                self.all_modules_in_db[mod]['product_list'] = module_product_list
-
-                # initialize module paths into self.module_paths_dict
-                self.module_paths_dict[mod] = self.init_paths_for_module(mod, mod_db=self.kegg_modules_db)
-
-            self.kegg_modules_db.disconnect()
-
-        # LOAD USER DATA (MODULES)
-        if self.user_input_dir:
-            self.user_modules_db = ModulesDatabase(self.user_modules_db_path, args=self.args, run=run_quiet, quiet=self.quiet)
-            user_db_mods = self.user_modules_db.get_modules_table_as_dict()
-
-            for mod in user_db_mods:
-                # user modules cannot have the same name as a KEGG module
-                if mod in self.all_modules_in_db:
-                    self.user_modules_db.disconnect()
-                    raise ConfigError(f"No. Nononono. Stop right there. You see, there is a module called {mod} in your user-defined "
-                                      f"modules database (at {self.user_modules_db_path}) which has the same name as an existing KEGG "
-                                      f"module. This is not allowed, for reasons. Please name that module differently. Append an "
-                                      f"underscore and your best friend's name to it or something. Just make sure it's unique. OK? ok.")
-
-                self.all_modules_in_db[mod] = user_db_mods[mod]
-                # mark that this module came from the USER. it may be useful to know later.
-                self.all_modules_in_db[mod]['MODULES_DB_SOURCE'] = "USER"
-
-                # add compound lists into self.all_modules_in_db
-                module_substrate_list, module_intermediate_list, module_product_list = self.user_modules_db.get_human_readable_compound_lists_for_module(mod)
-                self.all_modules_in_db[mod]['substrate_list'] = module_substrate_list
-                self.all_modules_in_db[mod]['intermediate_list'] = module_intermediate_list
-                self.all_modules_in_db[mod]['product_list'] = module_product_list
-
-                # initialize module paths into self.module_paths_dict
-                self.module_paths_dict[mod] = self.init_paths_for_module(mod, mod_db=self.user_modules_db)
-
-            self.user_modules_db.disconnect()
-
-        # INIT ENZYMES
-        for mod in self.all_modules_in_db:
-            orthology = self.all_modules_in_db[mod]['ORTHOLOGY']
-            if isinstance(orthology, str):
-                ko_list = [orthology]
-            else:
-                ko_list = list(orthology.keys())
-            for k in ko_list:
-                if k not in self.all_kos_in_db:
-                    src = self.all_modules_in_db[mod]['ANNOTATION_SOURCE'][k] if 'ANNOTATION_SOURCE' in self.all_modules_in_db[mod] else 'KOfam'
-                    func = self.all_modules_in_db[mod]['ORTHOLOGY'][k] if 'ORTHOLOGY' in self.all_modules_in_db[mod] else 'UNKNOWN'
-                    self.all_kos_in_db[k] = {'modules': [], 'annotation_source': src, 'function': func}
-                self.all_kos_in_db[k]['modules'].append(mod)
-
-
-    def init_paths_for_module(self, mnum, mod_db=None):
-        """This function unrolls the module DEFINITION for the module provided and returns a list of all paths through it.
-
-        It unrolls the module definition into a list of all possible paths, where each path is a list of atomic steps.
-        Atomic steps include singular KOs, protein complexes, modules, non-essential steps, and steps without associated KOs.
-
-        PARAMETERS
-        ==========
-        mnum : str
-            The module to return paths for. Must be a key in the self.all_modules_in_db dictionary.
-        mod_db : ModulesDatabase
-            This must be a ModulesDatabase instance that we are connected to (ie, disconnect() has not yet been run on it)
-            so that we can use its functions and access its data
-
-        RETURNS
-        ==========
-        A list of all paths through the module
-        """
-
-        if not mod_db:
-            raise ConfigError("Put yer hands in the air! You've tried to call init_paths_for_modules() without providing "
-                              "a database to the mod_db parameter, and this is ILLEGAL.")
-
-        if mnum not in self.all_modules_in_db:
-            raise ConfigError(f"Something is wrong here. The function init_paths_for_modules() is trying to work on module "
-                              f"{mnum}, but it is not a key in the self.all_modules_in_db dictionary.")
-        module_definition = self.all_modules_in_db[mnum]["DEFINITION"]
-        # the below function expects a list
-        if not isinstance(module_definition, list):
-            module_definition = [module_definition]
-
-        return mod_db.unroll_module_definition(mnum, def_lines=module_definition)
-
-
-    def get_enzymes_from_module_definition_in_order(self, mod_definition):
-        """Given a module DEFINITION string, this function parses out the enzyme accessions in order of appearance.
-
-        PARAMETERS
-        ==========
-        mod_definition : a string or list of strings containing the module DEFINITION lines
-
-        RETURNS
-        ==========
-
-        """
-
-        if isinstance(mod_definition, list):
-            mod_definition = " ".join(mod_definition)
-
-        # anything that is not (),-+ should be converted to spaces, then we can split on the spaces to get the accessions
-        mod_definition = re.sub('[\(\)\+\-,]', ' ', mod_definition).strip()
-        acc_list = re.split(r'\s+', mod_definition)
-        # remove anything that is not an enzyme and sanity check for weird characters
-        mods_to_remove = set()
-        for a in acc_list:
-            if a in self.all_modules_in_db:
-                mods_to_remove.add(a)
-            if re.match('[^a-zA-Z0-9_\.]', a):
-                raise ConfigError(f"The get_enzymes_from_module_definition_in_order() function found an enzyme accession that looks a bit funny. "
-                                  f"Possibly this is a failure of our parsing strategy, or maybe the enzyme accession just has unexpected characters "
-                                  f"in it. We don't know what module it is, but the weird enzyme is {a}. If you think that accession looks perfectly "
-                                  f"fine, you should reach out to the developers and have them fix this function to accomodate the accession. Or, you "
-                                  f"could just rename the enzyme?")
-        if mods_to_remove:
-            for m in mods_to_remove:
-                acc_list.remove(m)
-
-        return acc_list
-
-
-    def get_module_metadata_dictionary(self, mnum):
-        """Returns a dictionary of metadata for the given module.
-
-        The dictionary must include all the metadata from MODULE_METADATA_HEADERS,
-        using those headers as keys.
-
-        Requires self.all_modules_in_db attribute to exist - subclasses will have to call init_data_from_modules_db()
-        before this function.
-        """
-
-        if not self.all_modules_in_db:
-            raise ConfigError("The function get_module_metadata_dictionary() requires the self.all_modules_in_db attribute to "
-                              "be initialized. You need to make sure init_data_from_modules_db() is called before this function. ")
-
-        class_data_val = self.all_modules_in_db[mnum]['CLASS']
-        fields = class_data_val.split("; ")
-        mnum_class_dict = {"class" : fields[0], "category" : fields[1], "subcategory" : fields[2] if len(fields) > 2 else None}
-
-        metadata_dict = {}
-        metadata_dict["module_name"] = self.all_modules_in_db[mnum]['NAME']
-        metadata_dict["module_class"] = mnum_class_dict["class"]
-        metadata_dict["module_category"] = mnum_class_dict["category"]
-        metadata_dict["module_subcategory"] = mnum_class_dict["subcategory"]
-        return metadata_dict
-
-
-    def get_ko_metadata_dictionary(self, knum, dont_fail_if_not_found=False):
-        """Returns a dictionary of metadata for the given KO.
-
-        The dictionary must include all the metadata from KO_METADATA_HEADERS,
-        using those headers as keys.
-
-        Requires self.all_kos_in_db attribute to exist - subclasses will have to call init_data_from_modules_db()
-        before this function.
-        """
-
-        if not self.all_kos_in_db:
-            raise ConfigError("The function get_ko_metadata_dictionary() requires the self.all_kos_in_db attribute to "
-                              "be initialized. You need to make sure init_data_from_modules_db() is called before this function. ")
-
-        mod_list = self.all_kos_in_db[knum]['modules'] if knum in self.all_kos_in_db else None
-        if mod_list:
-            mod_list_str = ",".join(mod_list)
-        else:
-            mod_list_str = "None"
-
-        metadata_dict = {}
-        metadata_dict["modules_with_enzyme"] = mod_list_str
-
-        if knum not in self.ko_dict:
-            # if we can't find the enzyme in the KO dictionary, try to find it in the database
-            if knum in self.all_kos_in_db and 'function' in self.all_kos_in_db[knum]:
-                metadata_dict["enzyme_definition"] = self.all_kos_in_db[knum]['function']
-            elif dont_fail_if_not_found:
-                self.run.warning(f"The enzyme {knum} was not found in the metabolism data, so we are unable to determine "
-                                 f"its functional annotation. You will see 'UNKNOWN' for this enzyme in any outputs describing "
-                                 f"its function.")
-                metadata_dict["enzyme_definition"] = "UNKNOWN"
-            else:
-                raise ConfigError("Something is mysteriously wrong. You are seeking metadata "
-                                  f"for enzyme {knum} but this enzyme is not in "
-                                  "the enzyme dictionary (self.ko_dict). This should never have happened.")
-        else:
-            metadata_dict["enzyme_definition"] = self.ko_dict[knum]['definition']
-
-        return metadata_dict
-
-
 class KeggMetabolismEstimator(KeggContext, KeggEstimatorArgs):
     """ Class for reconstructing/estimating metabolism for a SINGLE contigs DB based on hits to KEGG databases.
 
@@ -1925,12 +1620,8 @@ def __init__(self, args, run=run, progress=progress):
 
         # This can be initialized later if necessary using init_gene_coverage()
         self.profile_db = None
-        # This can be initialized later if necessary by setup_ko_dict()
-        self.ko_dict = {}
 
-        # INIT BASE CLASSES
         KeggEstimatorArgs.__init__(self, self.args)
-        KeggContext.__init__(self, self.args)
 
         self.name_header = None
         if self.metagenome_mode:
@@ -1950,18 +1641,13 @@ def __init__(self, args, run=run, progress=progress):
         self.available_headers[self.name_header] = {
                                         'cdict_key': None,
                                         'mode_type' : 'all',
-                                        'description': "Name of genome/bin/metagenome in which we find gene annotations (hits) and/or modules"
+                                        'description': "Name of genome/bin/metagenome in which we find KOfam hits and/or KEGG modules"
                                         }
 
-        if self.enzymes_txt:
-            self.contigs_db_project_name = os.path.basename(self.enzymes_txt).replace(".", "_")
-
-        # INPUT OPTIONS SANITY CHECKS
-        if not self.estimate_from_json and not self.contigs_db_path and not self.enzymes_txt:
-            raise ConfigError("NO INPUT PROVIDED. Please use the `-h` flag to see possible input options.")
-
-        if self.only_user_modules and not self.user_input_dir:
-            raise ConfigError("You can only use the flag --only-user-modules if you provide a --user-modules directory.")
+        # input options sanity checks
+        if not self.estimate_from_json and not self.contigs_db_path:
+            raise ConfigError("NO INPUT PROVIDED. You must provide (at least) a contigs database or genomes file to this program, unless you are using the --estimate-from-json "
+                              "flag, in which case you must provide a JSON-formatted file.")
 
         self.bin_ids_to_process = None
         if self.bin_id and self.bin_ids_file:
@@ -1973,6 +1659,7 @@ def __init__(self, args, run=run, progress=progress):
             filesnpaths.is_file_exists(self.bin_ids_file)
             self.bin_ids_to_process = [line.strip() for line in open(self.bin_ids_file).readlines()]
 
+
         if (self.bin_id or self.bin_ids_file or self.collection_name) and not self.profile_db_path:
             raise ConfigError("You have requested metabolism estimation for a bin or set of bins, but you haven't provided "
                               "a profiles database. Unfortunately, this just does not work. Please try again.")
@@ -1992,18 +1679,15 @@ def __init__(self, args, run=run, progress=progress):
         if self.profile_db_path:
             utils.is_profile_db_and_contigs_db_compatible(self.profile_db_path, self.contigs_db_path)
 
-        if self.add_coverage:
-            if not self.enzymes_txt:
-                if not self.profile_db_path:
-                    raise ConfigError("Adding coverage values requires a profile database. Please provide one if you can. :)")
-                if utils.is_blank_profile(self.profile_db_path):
-                    raise ConfigError("You have provided a blank profile database, which sadly will not contain any coverage "
-                                      "values, so the --add-coverage flag will not work.")
-
+        if self.add_coverage and not self.profile_db_path:
+            raise ConfigError("Adding coverage values requires a profile database. Please provide one if you can. :)")
+        elif self.add_coverage and utils.is_blank_profile(self.profile_db_path):
+            raise ConfigError("You have provided a blank profile database, which sadly will not contain any coverage "
+                              "values, so the --add-coverage flag will not work.")
+        elif self.add_coverage:
             self.add_gene_coverage_to_headers_list()
 
-
-        # OUTPUT OPTIONS SANITY CHECKS
+        # output options sanity checks
         if anvio.DEBUG:
             run.info("Output Modes", ", ".join(self.output_modes))
             run.info("Module completeness threshold", self.module_completion_threshold)
@@ -2051,123 +1735,64 @@ def __init__(self, args, run=run, progress=progress):
                              "of the single contigs database that you have provided. We are very sorry for any inconvenience.")
 
 
-        # let user know what they told anvi'o to work on
-        if self.contigs_db_path:
-            self.run.info("Contigs DB", self.contigs_db_path, quiet=self.quiet)
-        if self.profile_db_path:
-            self.run.info("Profile DB", self.profile_db_path, quiet=self.quiet)
+        # init the base class
+        KeggContext.__init__(self, self.args)
+
+        # let user know what they told anvi'o to work
+        self.run.info("Contigs DB", self.contigs_db_path, quiet=self.quiet)
+        self.run.info("Profile DB", self.profile_db_path, quiet=self.quiet)
+        self.run.info('Metagenome mode', self.metagenome_mode)
         if self.collection_name:
-            self.run.info('Collection', self.collection_name, quiet=self.quiet)
+            self.run.info('Collection', self.collection_name)
         if self.bin_id:
-            self.run.info('Bin ID', self.bin_id, quiet=self.quiet)
+            self.run.info('Bin ID', self.bin_id)
         elif self.bin_ids_file:
-            self.run.info('Bin IDs file', self.bin_ids_file, quiet=self.quiet)
-        if self.enzymes_txt:
-            self.run.info("Enzymes txt file", self.enzymes_txt, quiet=self.quiet)
-
-        self.run.info('Metagenome mode', self.metagenome_mode, quiet=self.quiet)
+            self.run.info('Bin IDs file', self.bin_ids_file)
 
+        # init the KO dictionary
+        self.setup_ko_dict()
 
-        if not self.estimate_from_json and not self.enzymes_txt:
+        if not self.estimate_from_json:
             utils.is_contigs_db(self.contigs_db_path)
+
+        # load existing kegg modules db
+        if not os.path.exists(self.kegg_modules_db_path):
+            raise ConfigError("It appears that a modules database (%s) does not exist in the KEGG data directory %s. "
+                              "Perhaps you need to specify a different KEGG directory using --kegg-data-dir. Or perhaps you didn't run "
+                              "`anvi-setup-kegg-kofams`, though we are not sure how you got to this point in that case "
+                              "since you also cannot run `anvi-run-kegg-kofams` without first having run KEGG setup. But fine. Hopefully "
+                              "you now know what you need to do to make this message go away." % ("MODULES.db", self.kegg_data_dir))
+        kegg_modules_db = KeggModulesDatabase(self.kegg_modules_db_path, args=self.args, quiet=self.quiet)
+
+        if not self.estimate_from_json:
             # here we load the contigs DB just for sanity check purposes.
             # We will need to load it again later just before accessing data to avoid SQLite error that comes from different processes accessing the DB
             contigs_db = ContigsDatabase(self.contigs_db_path, run=self.run, progress=self.progress)
             self.contigs_db_project_name = contigs_db.meta['project_name']
 
-
-        # LOAD KEGG DATA
-        if not self.only_user_modules:
-            # citation output for KEGG data
-            if not self.quiet:
-                self.run.warning("Anvi'o will reconstruct metabolism for modules in the KEGG MODULE database, as described in "
-                                 "Kanehisa and Goto et al (doi:10.1093/nar/gkr988). When you publish your findings, "
-                                 "please do not forget to properly credit this work.", lc='green', header="CITATION")
-
-            # init the enzyme accession to function definition dictionary
-            # (henceforth referred to as the KO dict, even though it doesn't only contain KOs for user data)
-            self.setup_ko_dict()
-            annotation_source_set = set(['KOfam'])
-
-            # check for kegg modules db
-            if not os.path.exists(self.kegg_modules_db_path):
-                raise ConfigError(f"It appears that a KEGG modules database ({self.kegg_modules_db_path}) does not exist in the provided data directory. "
-                                  f"Perhaps you need to specify a different data directory using --kegg-data-dir. Or perhaps you didn't run "
-                                  f"`anvi-setup-kegg-kofams`, though we are not sure how you got to this point in that case."
-                                  f"But fine. Hopefully you now know what you need to do to make this message go away.")
-
-            if not self.estimate_from_json and not self.enzymes_txt:
-                # sanity check that contigs db was annotated with same version of MODULES.db that will be used for metabolism estimation
-                if 'modules_db_hash' not in contigs_db.meta:
-                    raise ConfigError("Based on the contigs DB metadata, the contigs DB that you are working with has not been annotated with hits to the "
-                                      "KOfam database, so there are no KOs to estimate metabolism from. Please run `anvi-run-kegg-kofams` on this contigs DB "
-                                      "before you attempt to run this script again.")
-                contigs_db_mod_hash = contigs_db.meta['modules_db_hash']
-
-                kegg_modules_db = ModulesDatabase(self.kegg_modules_db_path, args=self.args, quiet=self.quiet)
-                mod_db_hash = kegg_modules_db.db.get_meta_value('hash')
-                kegg_modules_db.disconnect()
-
-                if contigs_db_mod_hash != mod_db_hash:
-                    raise ConfigError("The contigs DB that you are working with has been annotated with a different version of the MODULES.db than you are working with now. "
-                                      "Perhaps you updated your KEGG setup after running `anvi-run-kegg-kofams` on this contigs DB? Or maybe you have multiple KEGG data "
-                                      "directories set up on your computer, and the one you are using now is different from the one that you used for `anvi-run-kegg-kofams`? "
-                                      "Well. The solution to the first problem is to re-run `anvi-run-kegg-kofams` on the contigs DB (%s) using the updated MODULES.db "
-                                      "(located in the KEGG data directory %s). The solution to the second problem is to specify the appropriate KEGG data directory using "
-                                      "the --kegg-data-dir flag. If neither of those things make this work, then you should contact the developers to see if they can help you "
-                                      "figure this out. For those who need this information, the Modules DB used to annotate this contigs database previously had the "
-                                      "following hash: %s. And the hash of the current Modules DB is: %s" % (self.contigs_db_path, self.kegg_data_dir, contigs_db_mod_hash, mod_db_hash))
-        else: # USER data only
-            annotation_source_set = set([])
-            self.kegg_modules_db_path = None # we nullify this just in case
-
-
-        # LOAD USER DATA
-        if not self.estimate_from_json and not self.enzymes_txt:
-            if self.user_input_dir:
-                # check for user modules db
-                if not os.path.exists(self.user_modules_db_path):
-                    raise ConfigError(f"It appears that a USER-DEFINED modules database ({self.user_modules_db_path}) does not exist in the provided data directory. "
-                                      f"Perhaps you need to specify a different data directory using --user-modules. Or perhaps you didn't run "
-                                      f"`anvi-setup-user-modules`. Either way, you're still awesome. Have a great day ;)")
-
-                # sanity check that contigs db contains all necessary functional sources for user data
-                user_modules_db = ModulesDatabase(self.user_modules_db_path, args=self.args, quiet=self.quiet)
-                modules_db_sources = set(user_modules_db.db.get_meta_value('annotation_sources').split(','))
-
-                contigs_db_sources = set(contigs_db.meta['gene_function_sources'])
-                source_in_modules_not_contigs = modules_db_sources.difference(contigs_db_sources)
-
-                if source_in_modules_not_contigs:
-                    missing_sources = ", ".join(source_in_modules_not_contigs)
-                    raise ConfigError(f"Your contigs database is missing one or more functional annotation sources that are "
-                                      f"required for the modules in the database at {self.user_modules_db_path}. You will have to "
-                                      f"annotate the contigs DB with these sources (or import them using `anvi-import-functions`) "
-                                      f"before running this program again. Here are the missing sources: {missing_sources}")
-
-                # expand annotation source set to include those in user db
-                annotation_source_set.update(modules_db_sources)
-
-                # we now have to add any enzymes from the user's modules db to the ko dict
-                user_kos = user_modules_db.get_ko_function_dict()
-                for k in user_kos:
-                    if k not in self.ko_dict:
-                        self.ko_dict[k] = user_kos[k]
-                user_modules_db.disconnect()
-
-        if not self.estimate_from_json and not self.enzymes_txt:
+            # sanity check that contigs db was annotated with same version of MODULES.db that will be used for metabolism estimation
+            if 'modules_db_hash' not in contigs_db.meta:
+                raise ConfigError("Based on the contigs DB metadata, the contigs DB that you are working with has not been annotated with hits to the "
+                                  "KOfam database, so there are no KOs to estimate metabolism from. Please run `anvi-run-kegg-kofams` on this contigs DB "
+                                  "before you attempt to run this script again.")
+            contigs_db_mod_hash = contigs_db.meta['modules_db_hash']
+            mod_db_hash = kegg_modules_db.db.get_meta_value('hash')
+            if contigs_db_mod_hash != mod_db_hash:
+                raise ConfigError("The contigs DB that you are working with has been annotated with a different version of the MODULES.db than you are working with now. "
+                                  "Perhaps you updated your KEGG setup after running `anvi-run-kegg-kofams` on this contigs DB? Or maybe you have multiple KEGG data "
+                                  "directories set up on your computer, and the one you are using now is different from the one that you used for `anvi-run-kegg-kofams`? "
+                                  "Well. The solution to the first problem is to re-run `anvi-run-kegg-kofams` on the contigs DB (%s) using the updated MODULES.db "
+                                  "(located in the KEGG data directory %s). The solution to the second problem is to specify the appropriate KEGG data directory using "
+                                  "the --kegg-data-dir flag. If neither of those things make this work, then you should contact the developers to see if they can help you "
+                                  "figure this out. For those who need this information, the Modules DB used to annotate this contigs database previously had the "
+                                  "following hash: %s. And the hash of the current Modules DB is: %s" % (self.contigs_db_path, self.kegg_data_dir, contigs_db_mod_hash, mod_db_hash))
             contigs_db.disconnect()
+        kegg_modules_db.disconnect()
 
-        self.annotation_sources_to_use = list(annotation_source_set)
-
-        # tell user what metabolism data we are using
-        if self.user_input_dir:
-            if self.only_user_modules:
-                self.run.info('Metabolism data', "USER only")
-            else:
-                self.run.info('Metabolism data', "KEGG + USER-DEFINED")
-        else:
-            self.run.info('Metabolism data', "KEGG only")
+        if not self.quiet:
+            self.run.warning("Anvi'o will reconstruct metabolism for modules in the KEGG MODULE database, as described in "
+                             "Kanehisa and Goto et al (doi:10.1093/nar/gkr988). When you publish your findings, "
+                             "please do not forget to properly credit this work.", lc='green', header="CITATION")
 
 
     def list_output_modes(self):
@@ -2260,7 +1885,7 @@ def init_hits_and_splits(self, annotation_sources=['KOfam']):
 
         source_list = ','.join(["'%s'" % src for src in annotation_sources])
         hits_where_clause = f'''source IN ({source_list}) AND gene_callers_id IN ({gene_list})'''
-        kofam_hits = contigs_db.db.get_some_columns_from_table(t.gene_function_calls_table_name, "gene_callers_id, accession, function",
+        kofam_hits = contigs_db.db.get_some_columns_from_table(t.gene_function_calls_table_name, "gene_callers_id, accession",
                                                                where_clause=hits_where_clause)
 
         contigs_db.disconnect()
@@ -2268,42 +1893,72 @@ def init_hits_and_splits(self, annotation_sources=['KOfam']):
         # combine the information for each gene call into neat tuples for returning
         # each gene call is only on one split of one contig, so we can convert these lists of tuples into dictionaries for easy access
         # but some gene calls have multiple kofam hits (and some kofams have multiple gene calls), so we must keep the tuple structure for those
-        self.progress.update("Organizing gene call data")
+        self.progress.update("Organizing KOfam hit data")
         gene_calls_splits_dict = {tpl[0] : tpl[1] for tpl in genes_in_splits}
         gene_calls_contigs_dict = {tpl[0] : tpl[1] for tpl in genes_in_contigs}
         assert len(gene_calls_splits_dict.keys()) == len(genes_in_contigs)
 
         kofam_gene_split_contig = []
-        for gene_call_id, ko, func in kofam_hits:
-            # some genes have multiple annotations that we need to split
-            for annotation in ko.split('!!!'):
-                kofam_gene_split_contig.append((annotation, gene_call_id, gene_calls_splits_dict[gene_call_id], gene_calls_contigs_dict[gene_call_id]))
-
-                # for user data, the enzymes in some loaded gene calls may not yet be in the ko dict, so we add them in here.
-                if self.user_input_dir:
-                    if not self.ko_dict:
-                        raise ConfigError("Uh oh. The code is currently trying to add gene annotations to self.ko_dict, but this attribute does not "
-                                          "exist! You need to fix this.")
-                    if annotation not in self.ko_dict:
-                        self.ko_dict[annotation] = {'definition': func}
+        for gene_call_id, ko in kofam_hits:
+            kofam_gene_split_contig.append((ko, gene_call_id, gene_calls_splits_dict[gene_call_id], gene_calls_contigs_dict[gene_call_id]))
 
         self.progress.update("Done")
         self.progress.end()
 
-        sources_str = ", ".join(annotation_sources)
-        self.run.info("Annotation sources used", sources_str)
-        self.run.info("Gene calls from these sources", "%d found" % len(kofam_hits), quiet=self.quiet)
+        self.run.info("KOfam hits", "%d found" % len(kofam_hits), quiet=self.quiet)
 
         if not self.quiet and not len(kofam_hits):
-            self.run.warning(f"Hmmm. No gene calls from any of the following annotation sources were found in this contigs DB: {sources_str}. "
-                             f"The consequence is that all metabolism estimate outputs will be empty. This is fine, and could even be biologically "
-                             f"correct. But we thought we'd mention it just in case you thought it was weird. Other, technical reasons that this could "
-                             f"have happened include: 1) you didn't annotate with `anvi-run-kegg-kofams` or another annotation program, or "
-                             "2) you imported functional annotations but the 'source' did not match those in the list above.")
+            self.run.warning("Hmmm. No KOfam hits were found in this contigs DB, so all metabolism estimate outputs will be empty. This is fine, and "
+                             "could even be biologically correct. But we thought we'd mention it just in case you thought it was weird. "
+                             "Other, technical reasons that this could have happened include: 1) you didn't annotate with `anvi-run-kegg-kofams` "
+                             "and 2) you imported KEGG functional annotations but the 'source' was not 'KOfam'.")
 
         return kofam_gene_split_contig
 
 
+    def init_data_from_modules_db(self):
+        """This function reads mucho data from the MODULES.db into dictionaries for later access.
+
+        It generates the self.all_modules_in_db dictionary, which contains all data values for all modules
+        in the db, keyed by module number.
+        It also generates the self.all_kos_in_db dictionary, which maps each KO in the db to its list of modules.
+
+        We do this once at the start so as to reduce the number of on-the-fly database queries
+        that have to happen during the estimation process.
+        """
+
+        self.all_modules_in_db = self.kegg_modules_db.get_modules_table_data_values_as_dict()
+
+        self.all_kos_in_db = {}
+        for mod in self.all_modules_in_db:
+            ko_list = self.all_modules_in_db[mod]['ORTHOLOGY']
+            if not isinstance(ko_list, list):
+                ko_list = [ko_list]
+            # we convert to a set because some modules have duplicate orthology lines for the same KO
+            for k in set(ko_list):
+                if k not in self.all_kos_in_db:
+                    self.all_kos_in_db[k] = []
+                self.all_kos_in_db[k].append(mod)
+
+
+    def init_paths_for_modules(self):
+        """This function unrolls the module DEFINITION for each module and places it in an attribute variable for
+        all downstream functions to access.
+
+        It unrolls the module definition into a list of all possible paths, where each path is a list of atomic steps.
+        Atomic steps include singular KOs, protein complexes, modules, non-essential steps, and steps without associated KOs.
+        """
+
+        self.module_paths_dict = {}
+        modules = self.all_modules_in_db.keys()
+        for m in modules:
+            module_definition = self.all_modules_in_db[m]["DEFINITION"]
+            # the below function expects a list
+            if not isinstance(module_definition, list):
+                module_definition = [module_definition]
+            self.module_paths_dict[m] = self.kegg_modules_db.unroll_module_definition(m, def_lines=module_definition)
+
+
     def init_gene_coverage(self, gcids_for_kofam_hits):
         """This function initializes gene coverage/detection values from the provided profile DB.
 
@@ -2331,43 +1986,37 @@ def init_gene_coverage(self, gcids_for_kofam_hits):
     def add_gene_coverage_to_headers_list(self):
         """Updates the headers lists for relevant output modes with coverage and detection column headers.
 
-        If a profile DB was provided, it is initialized in this function in order to get access to the sample names that will
+        The profile DB is initialized in this function in order to get access to the sample names that will
         be part of the available coverage/detection headers.
         """
 
-        # obtain list of sample names
-        if self.enzymes_txt: # for this input the sample name is just the name of the input file (dots converted to underscores)
-            samples_list = [self.contigs_db_project_name]
-
-        else:
-            if not self.profile_db:
-                self.args.skip_consider_gene_dbs = True
-                self.profile_db = ProfileSuperclass(self.args)
-
-            samples_list = self.profile_db.p_meta['samples']
+        if not self.profile_db:
+            self.args.skip_consider_gene_dbs = True
+            self.profile_db = ProfileSuperclass(self.args)
 
-        # obtain lists of all the headers we will need to add.
+        # first we get lists of all the headers we will need to add.
         # there will be one column per sample for both coverage and detection (for individual genes and for module averages)
         kofam_hits_coverage_headers = []
         kofam_hits_detection_headers = []
         modules_coverage_headers = []
         modules_detection_headers = []
 
-        for s in samples_list:
+        samples_in_profile_db = self.profile_db.p_meta['samples']
+        for s in samples_in_profile_db:
             # we update the available header list so that these additional headers pass the sanity checks
             kofam_hits_coverage_headers.append(s + "_coverage")
             self.available_headers[s + "_coverage"] = {'cdict_key': None,
-                                                       'mode_type': 'kofam_hits_in_modules',
-                                                       'description': f"Mean coverage of gene in sample {s}"
+                                                       'mode_type': 'kofam_hits_in_modules', 'kofam_hits'
+                                                       'description': f"Mean coverage of gene with KOfam hit in sample {s}"
                                                        }
             kofam_hits_detection_headers.append(s + "_detection")
             self.available_headers[s + "_detection"] = {'cdict_key': None,
                                                         'mode_type': 'kofam_hits_in_modules',
-                                                        'description': f"Detection of gene in sample {s}"
+                                                        'description': f"Detection of gene with KOfam hit in sample {s}"
                                                         }
             modules_coverage_headers.extend([s + "_gene_coverages", s + "_avg_coverage"])
             self.available_headers[s + "_gene_coverages"] = {'cdict_key': None,
-                                                             'mode_type': 'all',
+                                                             'mode_type': 'modules', 'kofam_hits'
                                                              'description': f"Comma-separated coverage values for each gene in module in sample {s}"
                                                              }
             self.available_headers[s + "_avg_coverage"] = {'cdict_key': None,
@@ -2385,8 +2034,8 @@ def add_gene_coverage_to_headers_list(self):
                                                             }
 
         # we update the header list for the affected modes
-        self.available_modes["hits_in_modules"]["headers"].extend(kofam_hits_coverage_headers + kofam_hits_detection_headers)
-        self.available_modes["hits"]["headers"].extend(kofam_hits_coverage_headers + kofam_hits_detection_headers)
+        self.available_modes["kofam_hits_in_modules"]["headers"].extend(kofam_hits_coverage_headers + kofam_hits_detection_headers)
+        self.available_modes["kofam_hits"]["headers"].extend(kofam_hits_coverage_headers + kofam_hits_detection_headers)
         self.available_modes["modules"]["headers"].extend(modules_coverage_headers + modules_detection_headers)
 
 
@@ -2444,11 +2093,7 @@ def mark_kos_present_for_list_of_splits(self, kofam_hits_in_splits, split_list=N
 
         if anvio.DEBUG:
             self.run.info("Marking KOs present for bin", bin_name)
-            if split_list:
-                num_splits = len(split_list)
-            else:
-                num_splits = "None"
-            self.run.info("Number of splits", num_splits)
+            self.run.info("Number of splits", len(split_list))
 
         # initialize all modules with empty lists and dicts for kos, gene calls
         modules = self.all_modules_in_db.keys()
@@ -2458,21 +2103,11 @@ def mark_kos_present_for_list_of_splits(self, kofam_hits_in_splits, split_list=N
                                            "kofam_hits" : {},
                                            "genes_to_contigs" : {},
                                            "contigs_to_genes" : {},
-                                           "unique_to_this_module": set(),
-                                           "warnings" : set()
+                                           "warnings" : []
                                           }
         for knum in all_kos:
-            """
-            We can only add warnings about missing KOfam profiles because for other annotation sources, we don't
-            have a way to know if profiles are missing. But for KOfams with missing profiles, this step is necessary
-            so that we don't add the enzyme to the bin_level_ko_dict, because later this will cause problems since
-            the enzyme is not in self.ko_dict
-
-            Furthermore, this can only be done when we are using both KEGG data and user data (ie, not --only-user-modules)
-            because we need access to the self.ko_dict
-            """
-            if not self.only_user_modules and self.all_kos_in_db[knum]['annotation_source'] == 'KOfam' and knum not in self.ko_dict:
-                mods_it_is_in = self.all_kos_in_db[knum]['modules']
+            if knum not in self.ko_dict:
+                mods_it_is_in = self.all_kos_in_db[knum]
                 if mods_it_is_in:
                     if anvio.DEBUG:
                         mods_str = ", ".join(mods_it_is_in)
@@ -2481,7 +2116,7 @@ def mark_kos_present_for_list_of_splits(self, kofam_hits_in_splits, split_list=N
                                         f"{mods_str}). ")
                     for m in mods_it_is_in:
                         if knum[0] != 'M':
-                            bin_level_module_dict[m]["warnings"].add(f"No KOfam profile for {knum}")
+                            bin_level_module_dict[m]["warnings"].append(f"No KOfam profile for {knum}")
                 continue
 
             bin_level_ko_dict[knum] = {"gene_caller_ids" : set(),
@@ -2502,14 +2137,9 @@ def mark_kos_present_for_list_of_splits(self, kofam_hits_in_splits, split_list=N
                                              "contigs_to_genes" : {}
                                              }
             else:
-                present_in_mods = self.all_kos_in_db[ko]['modules']
+                present_in_mods = self.all_kos_in_db[ko]
                 bin_level_ko_dict[ko]["modules"] = present_in_mods
 
-                # keep track of enzymes unique to this module
-                is_unique = False
-                if len(present_in_mods) == 1:
-                    is_unique = True
-
                 for m in present_in_mods:
                     bin_level_module_dict[m]["gene_caller_ids"].add(gene_call_id)
                     if ko in bin_level_module_dict[m]["kofam_hits"] and gene_call_id not in bin_level_module_dict[m]["kofam_hits"][ko]:
@@ -2522,14 +2152,6 @@ def mark_kos_present_for_list_of_splits(self, kofam_hits_in_splits, split_list=N
                     else:
                         bin_level_module_dict[m]["contigs_to_genes"][contig] = set([gene_call_id])
 
-                    # make a special list for the enzymes that are unique
-                    if is_unique:
-                        bin_level_module_dict[m]["unique_to_this_module"].add(ko)
-                    # warn the user if this enzyme is shared between multiple modules
-                    else:
-                        mod_str = "/".join(present_in_mods)
-                        bin_level_module_dict[m]["warnings"].add(f"{ko} is present in multiple modules: {mod_str}")
-
             bin_level_ko_dict[ko]["gene_caller_ids"].add(gene_call_id)
             bin_level_ko_dict[ko]["genes_to_contigs"][gene_call_id] = contig
             if contig in bin_level_ko_dict[ko]["contigs_to_genes"]:
@@ -2538,9 +2160,9 @@ def mark_kos_present_for_list_of_splits(self, kofam_hits_in_splits, split_list=N
                 bin_level_ko_dict[ko]["contigs_to_genes"][contig] = set([gene_call_id])
 
         if anvio.DEBUG:
-            self.run.info("Gene calls processed", "%d in bin" % len(kofam_hits_in_splits))
+            self.run.info("KOs processed", "%d in bin" % len(kofam_hits_in_splits))
             if kos_not_in_modules:
-                self.run.warning("Just so you know, the following enzymes did not belong to any modules in the MODULES.db: %s"
+                self.run.warning("Just so you know, the following KOfam hits did not belong to any KEGG modules in the MODULES.db: %s"
                 % ", ".join(kos_not_in_modules))
 
         return bin_level_module_dict, bin_level_ko_dict
@@ -2616,91 +2238,70 @@ def compute_module_completeness_for_bin(self, mnum, meta_dict_for_bin):
         for p in self.module_paths_dict[mnum]:
             num_complete_steps_in_path = 0
             num_nonessential_steps_in_path = 0 # so that we don't count nonessential steps when computing completeness
-
             for atomic_step in p:
                 # there are 5 types of atomic steps to take care of
-                if any(x in atomic_step for x in ['-','+']):
-                    # 1) steps without associated enzymes, ie --
-                    if atomic_step == "--":
-                        # when '--' in a DEFINITION line happens, it signifies a reaction step that has no associated enzyme.
-                        # we assume that such steps are not complete
-                        has_no_ko_step = True
-                        warning_str = "'--' steps are assumed incomplete"
-                        meta_dict_for_bin[mnum]["warnings"].add(warning_str)
-                    # 2) non-essential KOs, ie -Kxxxxx
-                    elif atomic_step[0] == "-" and not any(x in atomic_step[1:] for x in ['-','+']):
-                        """
-                        OKAY, SO HERE WE HAVE SOME POOPINESS THAT MAY NEED TO BE FIXED EVENTUALLY.
-                        Basically, some DEFINITION lines have KOs that seem to be marked non-essential;
-                        ie, "-K11024" in "K11023 -K11024 K11025 K11026 K11027".
-                        It was difficult to decide whether we should consider only K11024, or K11024 and all following KOs, to be non-essential.
-                        For instance, the module M00778 is a complex case that gave us pause - see Fiesta issue 955.
-                        But for now, we have decided to just track only the one KO as a 'non-essential step', and to not include such steps in
-                        the module completeness estimate.
-                        """
-                        ko = atomic_step[1:]
-                        if ko not in module_nonessential_kos:
-                            module_nonessential_kos.append(ko)
-                        num_nonessential_steps_in_path += 1
-                        has_nonessential_step = True
-
-                    # 3) protein complexes, ie Kxxxxx+Kyyyyy-Kzzzzz (2 types of complex components - essential and nonessential)
-                    else:
-                        # split on '+' or '-'
-                        pattern = re.compile('\+|\-')
-                        match_idxs = []
-                        for match in re.finditer(pattern, atomic_step):
-                            match_idxs.append(match.start())
-
-                        essential_components = []
-                        num_matches_processed = 0
-                        for i, match_idx in enumerate(match_idxs):
-                            # if this is the first match, we need to handle the initial component in the complex
-                            if num_matches_processed == 0:
-                                essential_components.append(atomic_step[0:match_idx])
-
-                            # handle the component after the match character
-                            if i < len(match_idxs)-1:
-                                next_idx = match_idxs[i+1]
-                            else:
-                                next_idx = len(atomic_step)
-                            component_ko = atomic_step[match_idx+1:next_idx]
-
-                            # essential component after  +
-                            if atomic_step[match_idx] == '+':
-                                essential_components.append(component_ko)
-                            # non-essential component after '-'
-                            else:
-                                has_nonessential_step = True
-                                if component_ko not in module_nonessential_kos:
-                                    module_nonessential_kos.append(component_ko)
-
-                            num_matches_processed += 1
-
-                        # after processing all components of the enzyme complex, we compute the complex completeness
-                        num_present_components = 0
-                        for c in essential_components:
-                            if c in present_list_for_mnum:
-                                num_present_components += 1
-                        component_completeness = num_present_components / len(essential_components)
-                        num_complete_steps_in_path += component_completeness
+                # 1) regular old single KOs, ie Kxxxxx
+                if atomic_step[0] == "K" and len(atomic_step) == 6:
+                    if atomic_step in present_list_for_mnum:
+                        num_complete_steps_in_path += 1
+                # 2) protein complexes, ie Kxxxxx+Kyyyyy-Kzzzzz (2 types of complex components - essential and nonessential)
+                elif atomic_step[0] == "K" and (atomic_step[6] == "+" or atomic_step[6] == "-"):
+                    idx = 6
+                    essential_components = [atomic_step[0:idx]]
+                    while idx < len(atomic_step):
+                        component_ko = atomic_step[idx+1:idx+7]
+                        if atomic_step[idx] == "+":
+                            essential_components.append(component_ko)
+                        else:
+                            has_nonessential_step = True
+                            if component_ko not in module_nonessential_kos:
+                                module_nonessential_kos.append(component_ko)
+                        idx += 7
+
+                    num_present_components = 0
+                    for c in essential_components:
+                        if c in present_list_for_mnum:
+                            num_present_components += 1
+                    component_completeness = num_present_components / len(essential_components)
+                    num_complete_steps_in_path += component_completeness
+                # 3) non-essential KOs, ie -Kxxxxx
+                elif atomic_step[0:2] == "-K" and len(atomic_step) == 7:
+                    """
+                    OKAY, SO HERE WE HAVE SOME POOPINESS THAT MAY NEED TO BE FIXED EVENTUALLY.
+                    Basically, some DEFINITION lines have KOs that seem to be marked non-essential;
+                    ie, "-K11024" in "K11023 -K11024 K11025 K11026 K11027".
+                    It was difficult to decide whether we should consider only K11024, or K11024 and all following KOs, to be non-essential.
+                    For instance, the module M00778 is a complex case that gave us pause - see Fiesta issue 955.
+                    But for now, we have decided to just track only the one KO as a 'non-essential step', and to not include such steps in
+                    the module completeness estimate.
+                    """
+                    if atomic_step[1:] not in module_nonessential_kos:
+                        module_nonessential_kos.append(atomic_step[1:])
+                    num_nonessential_steps_in_path += 1
+                    has_nonessential_step = True
+                # 4) steps without associated KOs, ie --
+                elif atomic_step == "--":
+                    # when '--' in a DEFINITION line happens, it signifies a reaction step that has no associated KO.
+                    # we assume that such steps are not complete,  because we really can't know if it is from the KOfam hits alone
+                    has_no_ko_step = True
+                    warning_str = "'--' steps are assumed incomplete"
+                    if warning_str not in meta_dict_for_bin[mnum]["warnings"]:
+                        meta_dict_for_bin[mnum]["warnings"].append(warning_str)
+                # 5) Module numbers, ie Mxxxxx
+                elif atomic_step[0] == "M" and len(atomic_step) == 6:
+                    """
+                    This happens when a module is defined by other modules. For example, photosynthesis module M00611 is defined as
+                    (M00161,M00163) M00165 === (photosystem II or photosystem I) and calvin cycle
+
+                    We need all the modules to have been evaluated before we can determine completeness of steps with module numbers.
+                    So what we will do here is to use a flag variable to keep track of the modules that have this sort of definition
+                    in a list so we can go back and evaluate completeness of steps with module numbers later.
+                    """
+                    defined_by_modules = True
                 else:
-                    # atomic step is a single enzyme or module
-                    # 4) Module numbers, ie Mxxxxx
-                    if atomic_step in self.all_modules_in_db:
-                        """
-                        This happens when a module is defined by other modules. For example, photosynthesis module M00611 is defined as
-                        (M00161,M00163) M00165 === (photosystem II or photosystem I) and calvin cycle
-
-                        We need all the modules to have been evaluated before we can determine completeness of steps with module numbers.
-                        So what we will do here is to use a flag variable to keep track of the modules that have this sort of definition
-                        in a list so we can go back and evaluate completeness of steps with module numbers later.
-                        """
-                        defined_by_modules = True
-                    # 5) regular old single enzymes, ie Kxxxxx (for KOs), COGyyyyy (for COGs), etc
-                    else:
-                        if atomic_step in present_list_for_mnum:
-                            num_complete_steps_in_path += 1
+                    raise ConfigError("Well. While estimating completeness for module %s, we found an atomic step in the pathway that we "
+                                        "are not quite sure what to do with. Here it is: %s" % (mnum, atomic_step))
+
 
             path_completeness = num_complete_steps_in_path / (len(p) - num_nonessential_steps_in_path)
             meta_dict_for_bin[mnum]["pathway_completeness"].append(path_completeness)
@@ -2713,20 +2314,6 @@ def compute_module_completeness_for_bin(self, mnum, meta_dict_for_bin):
         else:
             meta_dict_for_bin[mnum]["most_complete_paths"] = []
 
-        # compute proportion of unique enzymes in the module (regardless of which path(s) enzyme is in or whether enzyme is essential)
-        if meta_dict_for_bin[mnum]["unique_to_this_module"]:
-            num_unique_enzymes_present = 0
-            num_unique_enzymes_in_mod = len(meta_dict_for_bin[mnum]["unique_to_this_module"])
-            for ko in present_list_for_mnum:
-                if ko in meta_dict_for_bin[mnum]["unique_to_this_module"]:
-                    num_unique_enzymes_present += 1
-
-            meta_dict_for_bin[mnum]["proportion_unique_enzymes_present"] = num_unique_enzymes_present / num_unique_enzymes_in_mod
-            meta_dict_for_bin[mnum]["unique_enzymes_context_string"] = f"{num_unique_enzymes_present} of {num_unique_enzymes_in_mod} unique enzymes in module"
-        else:
-            meta_dict_for_bin[mnum]["proportion_unique_enzymes_present"] = "NA"
-            meta_dict_for_bin[mnum]["unique_enzymes_context_string"] = "NA"
-
 
         if anvio.DEBUG and len(meta_dict_for_bin[mnum]["most_complete_paths"]) > 1:
             self.run.warning("Found %d complete paths for module %s with completeness %s. " % (len(meta_dict_for_bin[mnum]["most_complete_paths"]), mnum, meta_dict_for_bin[mnum]["percent_complete"]),
@@ -2766,16 +2353,19 @@ def adjust_module_completeness_for_bin(self, mod, meta_dict_for_bin):
             num_complete_module_steps = 0
 
             for atomic_step in p:
-                # module step; we need to count these based on previously computed module completeness
-                if atomic_step in self.all_modules_in_db:
-                    num_complete_module_steps += meta_dict_for_bin[atomic_step]["percent_complete"]
+                # single KOs and protein complexes and '--' steps; were already counted as complete by previous function
+                if atomic_step[0] == "K" or atomic_step == "--":
                     num_essential_steps_in_path += 1
                 # non-essential KO, don't count as a step in the path
-                elif atomic_step[0] == '-' and not atomic_step == "--":
+                elif atomic_step[0:2] == "-K" and len(atomic_step) == 7:
                     pass
-                # single enzymes, protein complexes and '--' steps; were already counted as complete by previous function
-                else:
+                # module step; we need to count these based on previously computed module completeness
+                elif atomic_step[0] == "M" and len(atomic_step) == 6:
+                    num_complete_module_steps += meta_dict_for_bin[atomic_step]["percent_complete"]
                     num_essential_steps_in_path += 1
+                else:
+                    raise ConfigError("Well. While adjusting completeness estimates for module %s, we found an atomic step in the pathway that we "
+                                      "are not quite sure what to do with. Here it is: %s" % (mod, atomic_step))
 
             # now we adjust the previous pathway completeness
             old_complete_steps_in_path = meta_dict_for_bin[mod]["pathway_completeness"][i] * num_essential_steps_in_path
@@ -2816,12 +2406,7 @@ def add_module_coverage(self, mod, meta_dict_for_bin):
                                         avg_detection = meta_dict_for_bin[module]["average_detection_per_sample"][sample]
         """
 
-        meta_dict_for_bin[mod]["genes_to_coverage"] = {}
-        meta_dict_for_bin[mod]["genes_to_detection"] = {}
-        meta_dict_for_bin[mod]["average_coverage_per_sample"] = {}
-        meta_dict_for_bin[mod]["average_detection_per_sample"] = {}
-
-        if not self.enzymes_txt and not self.profile_db:
+        if not self.profile_db:
             raise ConfigError("The add_module_coverage() function cannot work without a properly initialized "
                               "profile database.")
 
@@ -2841,10 +2426,12 @@ def add_module_coverage(self, mod, meta_dict_for_bin):
                     sample_set.add(sample)
             self.coverage_sample_list = list(sample_set)
         else:
-            if self.enzymes_txt:
-                self.coverage_sample_list = [self.contigs_db_project_name]
-            else:
-                self.coverage_sample_list = self.profile_db.p_meta['samples']
+            self.coverage_sample_list = self.profile_db.p_meta['samples']
+
+        meta_dict_for_bin[mod]["genes_to_coverage"] = {}
+        meta_dict_for_bin[mod]["genes_to_detection"] = {}
+        meta_dict_for_bin[mod]["average_coverage_per_sample"] = {}
+        meta_dict_for_bin[mod]["average_detection_per_sample"] = {}
 
         num_genes = len(meta_dict_for_bin[mod]["gene_caller_ids"])
         for s in self.coverage_sample_list:
@@ -2853,12 +2440,8 @@ def add_module_coverage(self, mod, meta_dict_for_bin):
             coverage_sum = 0
             detection_sum = 0
             for g in meta_dict_for_bin[mod]["gene_caller_ids"]:
-                if self.enzymes_txt:
-                    cov = self.enzymes_txt_data[self.enzymes_txt_data['gene_id'] == g]['coverage'].values[0]
-                    det = self.enzymes_txt_data[self.enzymes_txt_data['gene_id'] == g]['detection'].values[0]
-                else:
-                    cov = self.profile_db.gene_level_coverage_stats_dict[g][s]['mean_coverage']
-                    det = self.profile_db.gene_level_coverage_stats_dict[g][s]['detection']
+                cov = self.profile_db.gene_level_coverage_stats_dict[g][s]['mean_coverage']
+                det = self.profile_db.gene_level_coverage_stats_dict[g][s]['detection']
                 coverage_sum += cov
                 detection_sum += det
                 meta_dict_for_bin[mod]["genes_to_coverage"][s][g] = cov
@@ -2938,14 +2521,14 @@ def estimate_for_list_of_splits(self, metabolism_dict_for_list_of_splits, bin_na
         # notify user of the modules that gave some fishy results -- but only for genome mode because it's too wordy otherwise
         if not self.quiet and self.genome_mode:
             if mods_with_nonessential_steps:
-                self.run.warning("Please note that anvi'o found one or more non-essential steps in the following modules: %s.   "
+                self.run.warning("Please note that anvi'o found one or more non-essential steps in the following KEGG modules: %s.   "
                                  "At this time, we are not counting these steps in our percent completion estimates."
                                  % (", ".join(mods_with_nonessential_steps)))
 
             if mods_with_unassociated_ko:
-                self.run.warning("Just so you know, while estimating the completeness of some modules, anvi'o saw "
+                self.run.warning("Just so you know, while estimating the completeness of some KEGG modules, anvi'o saw "
                                  "'--' in the module DEFINITION. This indicates a step in the pathway that has no "
-                                 "associated enzyme. So we really cannot know just based on gene annotations whether or not this "
+                                 "associated KO. So we really cannot know just based on KOfam hits whether or not this "
                                  "step is present. By default, anvi'o marks these steps incomplete. But they may not be, "
                                  "and as a result their modules may be falsely considered incomplete. So it may be in your "
                                  "interest to go back and take a look at these individual modules to see if you can find the "
@@ -3250,37 +2833,6 @@ def estimate_metabolism_from_json_data(self):
 
         filesnpaths.is_file_json_formatted(self.estimate_from_json)
         kegg_metabolism_superdict = json.load(open(self.estimate_from_json), parse_int=int)
-        if ('USER' in kegg_metabolism_superdict['data_sources'] and not self.user_input_dir):
-            raise ConfigError(f"You provided a JSON file generated from USER data, but you "
-                              f"did not specify which data directory to use with the `--user-modules` flag.")
-        if (kegg_metabolism_superdict['data_sources'] == 'KEGG' and self.user_input_dir):
-            raise ConfigError(f"You provided a JSON file generated from {kegg_metabolism_superdict['data_source']} data only, but then "
-                              f"you provided us with a USER metabolism data directory. You should not use the `--user-modules` flag for this file.")
-
-        if 'KEGG' in kegg_metabolism_superdict['data_sources']:
-            kegg_modules_db = ModulesDatabase(self.kegg_modules_db_path, args=self.args, quiet=self.quiet)
-            mod_db_hash = kegg_modules_db.db.get_meta_value('hash')
-            kegg_modules_db.disconnect()
-
-            if mod_db_hash != kegg_metabolism_superdict['kegg_modules_db_hash']:
-                raise ConfigError(f"The modules database in the data directory you provided (or the default KEGG data directory, if you didn't "
-                                  f"provide anything) has a different hash than the one used to generate this JSON input file. You probably need "
-                                  f"to specify a different data directory so that we can use the modules DB with a matching hash. FYI, the hash in "
-                                  f"the JSON file is {kegg_metabolism_superdict['kegg_modules_db_hash']} and the hash in the current modules DB "
-                                  f"(at path `{self.kegg_modules_db_path}`) is {mod_db_hash}.")
-
-        if self.user_input_dir:
-            user_modules_db = ModulesDatabase(self.user_modules_db_path, args=self.args, quiet=self.quiet)
-            mod_db_hash = user_modules_db.db.get_meta_value('hash')
-            user_modules_db.disconnect()
-
-            if mod_db_hash != kegg_metabolism_superdict['user_modules_db_hash']:
-                raise ConfigError(f"The modules database in the data directory you provided with --user-modules "
-                                  f"has a different hash than the one used to generate this JSON input file. You probably need "
-                                  f"to specify a different data directory so that we can use the modules DB with a matching hash. FYI, the hash in "
-                                  f"the JSON file is {kegg_metabolism_superdict['user_modules_db_hash']} and the hash in the current modules DB "
-                                  f"(at path `{self.user_modules_db_path}`) is {mod_db_hash}.")
-
         new_kegg_metabolism_superdict = {}
 
         expected_keys_for_module = {"gene_caller_ids", "kofam_hits", "genes_to_contigs", "contigs_to_genes"}
@@ -3288,13 +2840,10 @@ def estimate_metabolism_from_json_data(self):
         additional_keys = set([])
 
         self.init_data_from_modules_db()
+        self.init_paths_for_modules()
 
         for bin_name, meta_dict_for_bin in kegg_metabolism_superdict.items():
-            if bin_name in ['data_sources', 'kegg_modules_db_hash', 'user_modules_db_hash']:
-                continue
-            else:
-                bins_found.append(bin_name)
-
+            bins_found.append(bin_name)
             for mod, mod_dict in meta_dict_for_bin.items():
                 if mod == "num_complete_modules":
                     self.run.warning("Your JSON file appears to have been generated from data that already contains metabolic module completeness information. "
@@ -3311,12 +2860,11 @@ def estimate_metabolism_from_json_data(self):
 
                 additional_keys = additional_keys.union(set(mod_dict.keys()).difference(expected_keys_for_module))
 
-                # convert certain lists to sets
+                # convert gene_caller_ids and contigs_to_genes lists to sets
                 mod_dict['gene_caller_ids'] = set(mod_dict['gene_caller_ids'])
                 for contig, gene_list in mod_dict['contigs_to_genes'].items():
                     mod_dict['contigs_to_genes'][contig] = set(gene_list)
                 mod_dict['genes_to_contigs'] = {int(g):c for g,c in mod_dict['genes_to_contigs'].items()}
-                mod_dict['warnings'] = set(mod_dict['warnings'])
 
             new_kegg_metabolism_superdict[bin_name] = self.estimate_for_list_of_splits(meta_dict_for_bin, bin_name=bin_name)
             single_bin_module_superdict = {bin_name: new_kegg_metabolism_superdict[bin_name]}
@@ -3331,130 +2879,8 @@ def estimate_metabolism_from_json_data(self):
         return new_kegg_metabolism_superdict
 
 
-    def load_data_from_enzymes_txt(self):
-        """This function loads and sanity checks an enzymes txt file, and returns it as a pandas dataframe.
-
-        RETURNS
-        =======
-        enzyme_df : Pandas DataFrame
-            contains the information in the enzymes txt file
-        """
-
-        self.progress.new("Loading enzymes-txt file...")
-        expected_fields = ['gene_id', 'enzyme_accession', 'source']
-        enzyme_df = pd.read_csv(self.enzymes_txt, sep="\t")
-        self.progress.end()
-
-        self.run.info("Number of genes loaded from enzymes-txt file", enzyme_df.shape[0])
-
-        # sanity check for required columns
-        missing = []
-        for f in expected_fields:
-            if f not in enzyme_df.columns:
-                missing.append(f)
-        if missing:
-            miss_str = ", ".join(missing)
-            exp_str = ", ".join(expected_fields)
-            raise ConfigError(f"Your enzymes-txt file ({self.enzymes_txt}) is missing some required columns. "
-                              f"The columns it needs to have are: {exp_str}. And the missing column(s) include: {miss_str}")
-
-        # warning about extra columns
-        used_cols = expected_fields + ['coverage', 'detection']
-        extra_cols = []
-        for c in enzyme_df.columns:
-            if c not in used_cols:
-                extra_cols.append(c)
-        if extra_cols:
-            e_str = ", ".join(extra_cols)
-            self.run.warning("Just so you know, your input enzymes-txt file contained some columns of data that we are not "
-                             "going to use. This isn't an issue or anything, just an FYI. We're ignoring the following field(s): {e_str}")
-
-        # sanity check for unique gene ids
-        duplicates = list(enzyme_df[enzyme_df.duplicated(subset=['gene_id'])]['gene_id'].unique())
-        if duplicates:
-            if len(duplicates) > 5:
-                num = len(duplicates) - 1
-                dup_str = f"Here is one example (there are {num} others, but we didn't want to show them all): {duplicates[0]}"
-            else:
-                dup_str = f"Here are the duplicates: {', '.join(duplicates)}"
-            raise ConfigError(f"There are duplicate entries in the `gene_id` column of your enzymes-txt file. We require the values "
-                              f"in this column to be unique, so you'll have to modify (or remove) the duplicates. {dup_str} ")
-
-        # check and warning for enzymes not in self.all_kos_in_db
-        enzymes_not_in_modules = list(enzyme_df[~enzyme_df["enzyme_accession"].isin(self.all_kos_in_db.keys())]['enzyme_accession'].unique())
-        if enzymes_not_in_modules:
-            example = enzymes_not_in_modules[0]
-            self.run.warning(f"FYI, some enzymes in the 'enzyme_accession' column of your input enzymes-txt file do not belong to any "
-                             f"metabolic modules (that we know about). These enzymes will be ignored for the purposes of estimating module "
-                             f"completeness, but should still appear in enzyme-related outputs (if those were requested). In case you are "
-                             f"curious, here is one example (run this program with --debug to get a full list): {example}")
-
-        # if cov/det columns are not in the file, we explicitly turn off flag to add this data to output
-        if self.add_coverage and ('coverage' not in enzyme_df.columns or 'detection' not in enzyme_df.columns):
-            self.run.warning("You requested coverage/detection values to be added to the output files, but your "
-                             "input file does not seem to contain either a 'coverage' column or a 'detection' column, or both. "
-                             "Since we don't have this data, --add-coverage will not work, so we are turning this "
-                             "flag off. Sorry ¯\_(ツ)_/¯")
-            self.add_coverage = False
-            # remove coverage headers from the list so we don't try to access them later
-            kofam_hits_coverage_headers = [self.contigs_db_project_name + "_coverage", self.contigs_db_project_name + "_detection"]
-            modules_coverage_headers = [self.contigs_db_project_name + "_gene_coverages", self.contigs_db_project_name + "_avg_coverage",
-                                        self.contigs_db_project_name + "_gene_detection", self.contigs_db_project_name + "_avg_detection"]
-            for h in kofam_hits_coverage_headers:
-                for mode in ["hits_in_modules", "hits"]:
-                    if h in self.available_modes[mode]["headers"]:
-                        self.available_modes[mode]["headers"].remove(h)
-            for h in modules_coverage_headers:
-                if h in self.available_modes["modules"]["headers"]:
-                    self.available_modes["modules"]["headers"].remove(h)
-
-        return enzyme_df
-
-
-    def estimate_metabolism_from_enzymes_txt(self):
-        """Estimates metabolism on a set of enzymes provided in a text file.
-
-        This function assumes that all enzymes in the file are coming from a single genome, and is effectively the
-        same as the estimate_for_genome() function.
-
-        Requires the self.enzymes_txt_data attribute to have been established (ie, by loading the self.enzymes_txt file).
-        We make fake splits and contigs to match the expected input to the atomic functions, and the contigs_db_project_name
-        attribute has been set (previously) to the name of the enzyme txt file
-
-        RETURNS
-        =======
-        enzyme_metabolism_superdict : dictionary of dictionary of dictionaries
-            dictionary mapping the name of the enzyme txt file to its metabolism completeness dictionary
-        enzyme_ko_superdict : dictionary of dictionary of dictionaries
-            maps the name of the enzyme txt file to its KOfam hit dictionary
-        """
-
-        kofam_gene_split_contig = []
-        # no splits or contigs here
-        for gene_call_id, ko in zip(self.enzymes_txt_data["gene_id"], self.enzymes_txt_data["enzyme_accession"]):
-            kofam_gene_split_contig.append((ko,gene_call_id,"NA","NA"))
-
-        enzyme_metabolism_superdict = {}
-        enzyme_ko_superdict = {}
-
-        metabolism_dict_for_genome,ko_dict_for_genome = self.mark_kos_present_for_list_of_splits(kofam_gene_split_contig,
-                                                                                                 bin_name=self.contigs_db_project_name)
-        if not self.store_json_without_estimation:
-            enzyme_metabolism_superdict[self.contigs_db_project_name] = self.estimate_for_list_of_splits(metabolism_dict_for_genome,
-                                                                                                         bin_name=self.contigs_db_project_name)
-            enzyme_ko_superdict[self.contigs_db_project_name] = ko_dict_for_genome
-        else:
-            enzyme_metabolism_superdict[self.contigs_db_project_name] = metabolism_dict_for_genome
-            enzyme_ko_superdict[self.contigs_db_project_name] = ko_dict_for_genome
-
-        # append to file
-        self.append_kegg_metabolism_superdicts(enzyme_metabolism_superdict, enzyme_ko_superdict)
-
-        return enzyme_metabolism_superdict, enzyme_ko_superdict
-
-
     def estimate_metabolism(self, skip_storing_data=False, output_files_dictionary=None, return_superdicts=False,
-                            return_subset_for_matrix_format=False, all_modules_in_db=None, all_kos_in_db=None, module_paths_dict=None):
+                            return_subset_for_matrix_format=False):
         """This is the driver function for estimating metabolism for a single contigs DB.
 
         It will decide what to do based on whether the input contigs DB is a genome or metagenome.
@@ -3477,15 +2903,6 @@ def estimate_metabolism(self, skip_storing_data=False, output_files_dictionary=N
         return_subset_for_matrix_format : boolean
             set to True if you want subsets of the superdicts to be returned: one subdict for module completeness scores, one
             subdict for module presence/absence, and one subdict for KO hits. Used for matrix format output.
-        all_modules_in_db : dictionary
-            if this function is called from the KeggMetabolismEstimatorMulti class, this parameter contains the module information
-            loaded from the MODULES.db in init_data_from_modules_db(). Otherwise, it is None and this function will have to call
-            init_data_from_modules_db()
-        all_kos_in_db : dictionary
-            This is the same deal as the all_modules_in_db param - it should only have a value if passed from the
-            KeggMetabolismEstimatorMulti class
-        module_paths_dict : dictionary
-            Again, same thing as all_modules_in_db param - only provided if passed from KeggMetabolismEstimatorMulti
 
         RETURNS
         =======
@@ -3500,6 +2917,8 @@ def estimate_metabolism(self, skip_storing_data=False, output_files_dictionary=N
         kegg_metabolism_superdict = {}
         kofam_hits_superdict = {}
 
+        self.kegg_modules_db = KeggModulesDatabase(self.kegg_modules_db_path, args=self.args, run=run_quiet, quiet=self.quiet)
+
         if skip_storing_data or self.write_dict_to_json:
             self.output_file_dict = {}
         else:
@@ -3511,36 +2930,28 @@ def estimate_metabolism(self, skip_storing_data=False, output_files_dictionary=N
         if self.estimate_from_json:
             kegg_metabolism_superdict = self.estimate_metabolism_from_json_data()
         else:
-            # we either get the modules DB info from the previous class, or we have to initialize it here
-            if all_modules_in_db:
-                self.all_modules_in_db = all_modules_in_db
-                self.all_kos_in_db = all_kos_in_db
-                self.module_paths_dict = module_paths_dict
-            else:
-                self.init_data_from_modules_db()
+            self.init_data_from_modules_db()
+
+            kofam_hits_info = self.init_hits_and_splits()
+            self.init_paths_for_modules()
 
-            if self.enzymes_txt:
-                self.enzymes_txt_data = self.load_data_from_enzymes_txt()
-                kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_metabolism_from_enzymes_txt()
+            if self.add_coverage:
+                self.init_gene_coverage(gcids_for_kofam_hits={int(tpl[1]) for tpl in kofam_hits_info})
+
+            if self.profile_db_path and self.collection_name and not self.metagenome_mode:
+                kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_bins_in_collection(kofam_hits_info)
+            elif not self.collection_name and not self.metagenome_mode:
+                self.genome_mode = True
+                kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_genome(kofam_hits_info)
+            elif self.metagenome_mode:
+                kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_contigs_db_for_metagenome(kofam_hits_info)
             else:
-                kofam_hits_info = self.init_hits_and_splits(annotation_sources=self.annotation_sources_to_use)
-
-                if self.add_coverage:
-                    self.init_gene_coverage(gcids_for_kofam_hits={int(tpl[1]) for tpl in kofam_hits_info})
-
-                if self.profile_db_path and self.collection_name and not self.metagenome_mode:
-                    kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_bins_in_collection(kofam_hits_info)
-                elif not self.collection_name and not self.metagenome_mode:
-                    self.genome_mode = True
-                    kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_genome(kofam_hits_info)
-                elif self.metagenome_mode:
-                    kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_contigs_db_for_metagenome(kofam_hits_info)
-                else:
-                    raise ConfigError("This class doesn't know how to deal with that yet :/")
+                raise ConfigError("This class doesn't know how to deal with that yet :/")
 
         if self.write_dict_to_json:
             self.store_metabolism_superdict_as_json(kegg_metabolism_superdict, self.json_output_file_path + ".json")
 
+        self.kegg_modules_db.disconnect()
         if not self.multi_mode:
             for mode, file_object in self.output_file_dict.items():
                 file_object.close()
@@ -3619,9 +3030,8 @@ def generate_output_dict_for_modules(self, kegg_superdict, headers_to_include=No
             raise ConfigError("Some unavailable headers were requested. These include: %s" % (", ".join(illegal_headers)))
 
         module_level_headers = set(["module_name", "module_class", "module_category", "module_subcategory", "module_definition",
-                                    "module_substrates", "module_products", "module_intermediates", "warnings", "enzymes_unique_to_module",
-                                    "unique_enzymes_hit_counts"])
-        path_and_ko_level_headers = set(["path_id", "path", "path_completeness", "enzyme_hit", "gene_caller_id", "contig"])
+                                    "module_substrates", "module_products", "module_intermediates"])
+        path_and_ko_level_headers = set(["path_id", "path", "path_completeness", "kofam_hit", "gene_caller_id", "contig"])
         keys_not_in_superdict = set([h for h in self.available_headers.keys() if self.available_headers[h]['cdict_key'] is None])
         remaining_headers = headers_to_include.difference(keys_not_in_superdict)
         remaining_headers = remaining_headers.difference(module_level_headers)
@@ -3631,6 +3041,14 @@ def generate_output_dict_for_modules(self, kegg_superdict, headers_to_include=No
         d = {}
         if not self.modules_unique_id:
              self.modules_unique_id = 0
+        """
+        ### FIXME ###
+        The unique_id problematic to deal with when we are generating multiple output files because this self.modules_unique_id
+        variable is shared between all output files. Since we append to each output file in turn, this means that within an
+        output file the unique_id column will have 'jumps' in value (such that a row's unique_id is not always 1 greater than the
+        previous row's unique_id). This does not really cause problems and is not an urgent fix, per se, but it looks weird.
+        ### FIXME ###
+        """
 
         for bin, mod_dict in kegg_superdict.items():
             for mnum, c_dict in mod_dict.items():
@@ -3645,12 +3063,13 @@ def generate_output_dict_for_modules(self, kegg_superdict, headers_to_include=No
                 if exclude_zero_completeness and c_dict["percent_complete"] == 0:
                     continue
 
-                # fetch module info
+                # fetch module info from db
                 metadata_dict = self.get_module_metadata_dictionary(mnum)
                 definition_list = self.all_modules_in_db[mnum]["DEFINITION"]
                 if not isinstance(definition_list, list):
                     definition_list = [definition_list]
                 module_def = '"' + " ".join(definition_list) + '"'
+                module_substrate_list, module_intermediate_list, module_product_list = self.kegg_modules_db.get_human_readable_compound_lists_for_module(mnum)
 
                 # handle path- and ko-level information
                 if headers_to_include.intersection(path_and_ko_level_headers):
@@ -3672,8 +3091,8 @@ def generate_output_dict_for_modules(self, kegg_superdict, headers_to_include=No
                                 d[self.modules_unique_id] = {}
 
                                 # kofam hit specific info
-                                if "enzyme_hit" in headers_to_include:
-                                    d[self.modules_unique_id]["enzyme_hit"] = ko
+                                if "kofam_hit" in headers_to_include:
+                                    d[self.modules_unique_id]["kofam_hit"] = ko
                                 if "gene_caller_id" in headers_to_include:
                                     d[self.modules_unique_id]["gene_caller_id"] = gc_id
                                 if "contig" in headers_to_include:
@@ -3701,8 +3120,8 @@ def generate_output_dict_for_modules(self, kegg_superdict, headers_to_include=No
                                     d[self.modules_unique_id][self.name_header] = bin
                                 if "db_name" in headers_to_include:
                                     d[self.modules_unique_id]["db_name"] = self.database_name
-                                if 'module' in headers_to_include:
-                                    d[self.modules_unique_id]['module'] = mnum
+                                if "kegg_module" in headers_to_include:
+                                    d[self.modules_unique_id]["kegg_module"] = mnum
 
                                 # module specific info
                                 if "module_name" in headers_to_include:
@@ -3716,18 +3135,18 @@ def generate_output_dict_for_modules(self, kegg_superdict, headers_to_include=No
                                 if "module_definition" in headers_to_include:
                                     d[self.modules_unique_id]["module_definition"] = module_def
                                 if "module_substrates" in headers_to_include:
-                                    if self.all_modules_in_db[mnum]['substrate_list']:
-                                        d[self.modules_unique_id]["module_substrates"] = ",".join(self.all_modules_in_db[mnum]['substrate_list'])
+                                    if module_substrate_list:
+                                        d[self.modules_unique_id]["module_substrates"] = ",".join(module_substrate_list)
                                     else:
                                         d[self.modules_unique_id]["module_substrates"] = "None"
                                 if "module_products" in headers_to_include:
-                                    if self.all_modules_in_db[mnum]['product_list']:
-                                        d[self.modules_unique_id]["module_products"] = ",".join(self.all_modules_in_db[mnum]['product_list'])
+                                    if module_product_list:
+                                        d[self.modules_unique_id]["module_products"] = ",".join(module_product_list)
                                     else:
                                         d[self.modules_unique_id]["module_products"] = "None"
                                 if "module_intermediates" in headers_to_include:
-                                    if self.all_modules_in_db[mnum]['intermediate_list']:
-                                        d[self.modules_unique_id]["module_intermediates"] = ",".join(self.all_modules_in_db[mnum]['intermediate_list'])
+                                    if module_intermediate_list:
+                                        d[self.modules_unique_id]["module_intermediates"] = ",".join(module_intermediate_list)
                                     else:
                                         d[self.modules_unique_id]["module_intermediates"] = "None"
 
@@ -3740,34 +3159,11 @@ def generate_output_dict_for_modules(self, kegg_superdict, headers_to_include=No
                                     for ko in kos_in_mod:
                                         gcids_in_mod += [str(x) for x in c_dict["kofam_hits"][ko]]
                                         kos_in_mod_list += [ko for x in c_dict["kofam_hits"][ko]]
-                                if "enzyme_hits_in_module" in headers_to_include:
-                                    d[self.modules_unique_id]["enzyme_hits_in_module"] = ",".join(kos_in_mod_list)
+                                if "kofam_hits_in_module" in headers_to_include:
+                                    d[self.modules_unique_id]["kofam_hits_in_module"] = ",".join(kos_in_mod_list)
                                 if "gene_caller_ids_in_module" in headers_to_include:
                                     d[self.modules_unique_id]["gene_caller_ids_in_module"] = ",".join(gcids_in_mod)
 
-                                # comma-separated list of warnings
-                                if "warnings" in headers_to_include:
-                                    if not c_dict["warnings"]:
-                                        d[self.modules_unique_id]["warnings"] = "None"
-                                    else:
-                                        d[self.modules_unique_id]["warnings"] = ",".join(c_dict["warnings"])
-
-                                # list of enzymes unique to module
-                                unique_enzymes = sorted(list(c_dict["unique_to_this_module"]))
-                                if "enzymes_unique_to_module" in headers_to_include:
-                                    if unique_enzymes:
-                                        d[self.modules_unique_id]["enzymes_unique_to_module"] = ",".join(unique_enzymes)
-                                    else:
-                                        d[self.modules_unique_id]["enzymes_unique_to_module"] = "No enzymes unique to module"
-                                if "unique_enzymes_hit_counts" in headers_to_include:
-                                    if unique_enzymes:
-                                        hit_count_list = []
-                                        for e in unique_enzymes:
-                                            hit_count_list.append(str(len(c_dict["kofam_hits"][e])))
-                                        d[self.modules_unique_id]["unique_enzymes_hit_counts"] = ",".join(hit_count_list)
-                                    else:
-                                        d[self.modules_unique_id]["unique_enzymes_hit_counts"] = "NA"
-
                                 # everything else at c_dict level
                                 for h in remaining_headers:
                                     if h not in self.available_headers.keys():
@@ -3793,8 +3189,8 @@ def generate_output_dict_for_modules(self, kegg_superdict, headers_to_include=No
                         d[self.modules_unique_id][self.name_header] = bin
                     if "db_name" in headers_to_include:
                         d[self.modules_unique_id]["db_name"] = self.database_name
-                    if 'module' in headers_to_include:
-                        d[self.modules_unique_id]['module'] = mnum
+                    if "kegg_module" in headers_to_include:
+                        d[self.modules_unique_id]["kegg_module"] = mnum
 
                     # module specific info
                     if "module_name" in headers_to_include:
@@ -3808,18 +3204,18 @@ def generate_output_dict_for_modules(self, kegg_superdict, headers_to_include=No
                     if "module_definition" in headers_to_include:
                         d[self.modules_unique_id]["module_definition"] = module_def
                     if "module_substrates" in headers_to_include:
-                        if self.all_modules_in_db[mnum]['substrate_list']:
-                            d[self.modules_unique_id]["module_substrates"] = ",".join(self.all_modules_in_db[mnum]['substrate_list'])
+                        if module_substrate_list:
+                            d[self.modules_unique_id]["module_substrates"] = ",".join(module_substrate_list)
                         else:
                             d[self.modules_unique_id]["module_substrates"] = "None"
                     if "module_products" in headers_to_include:
-                        if self.all_modules_in_db[mnum]['product_list']:
-                            d[self.modules_unique_id]["module_products"] = ",".join(self.all_modules_in_db[mnum]['product_list'])
+                        if module_product_list:
+                            d[self.modules_unique_id]["module_products"] = ",".join(module_product_list)
                         else:
                             d[self.modules_unique_id]["module_products"] = "None"
                     if "module_intermediates" in headers_to_include:
-                        if self.all_modules_in_db[mnum]['intermediate_list']:
-                            d[self.modules_unique_id]["module_intermediates"] = ",".join(self.all_modules_in_db[mnum]['intermediate_list'])
+                        if module_intermediate_list:
+                            d[self.modules_unique_id]["module_intermediates"] = ",".join(module_intermediate_list)
                         else:
                             d[self.modules_unique_id]["module_intermediates"] = "None"
 
@@ -3832,34 +3228,11 @@ def generate_output_dict_for_modules(self, kegg_superdict, headers_to_include=No
                         for ko in kos_in_mod:
                             gcids_in_mod += [str(x) for x in c_dict["kofam_hits"][ko]]
                             kos_in_mod_list += [ko for x in c_dict["kofam_hits"][ko]]
-                    if "enzyme_hits_in_module" in headers_to_include:
-                        d[self.modules_unique_id]["enzyme_hits_in_module"] = ",".join(kos_in_mod_list)
+                    if "kofam_hits_in_module" in headers_to_include:
+                        d[self.modules_unique_id]["kofam_hits_in_module"] = ",".join(kos_in_mod_list)
                     if "gene_caller_ids_in_module" in headers_to_include:
                         d[self.modules_unique_id]["gene_caller_ids_in_module"] = ",".join(gcids_in_mod)
 
-                    # comma-separated list of warnings
-                    if "warnings" in headers_to_include:
-                        if not c_dict["warnings"]:
-                            d[self.modules_unique_id]["warnings"] = "None"
-                        else:
-                            d[self.modules_unique_id]["warnings"] = ",".join(c_dict["warnings"])
-
-                    # list of enzymes unique to module
-                    unique_enzymes = sorted(list(c_dict["unique_to_this_module"]))
-                    if "enzymes_unique_to_module" in headers_to_include:
-                        if unique_enzymes:
-                            d[self.modules_unique_id]["enzymes_unique_to_module"] = ",".join(unique_enzymes)
-                        else:
-                            d[self.modules_unique_id]["enzymes_unique_to_module"] = "No enzymes unique to module"
-                    if "unique_enzymes_hit_counts" in headers_to_include:
-                        if unique_enzymes:
-                            hit_count_list = []
-                            for e in unique_enzymes:
-                                hit_count_list.append(str(len(c_dict["kofam_hits"][e])))
-                            d[self.modules_unique_id]["unique_enzymes_hit_counts"] = ",".join(hit_count_list)
-                        else:
-                            d[self.modules_unique_id]["unique_enzymes_hit_counts"] = "NA"
-
                     # add coverage if requested
                     if self.add_coverage:
                         for s in self.coverage_sample_list:
@@ -3871,12 +3244,8 @@ def generate_output_dict_for_modules(self, kegg_superdict, headers_to_include=No
                             gene_coverages_in_mod = []
                             gene_detection_in_mod = []
                             for gc in gcids_in_mod:
-                                if self.enzymes_txt:
-                                    gc_idx = gc
-                                else:
-                                    gc_idx = int(gc)
-                                gene_coverages_in_mod.append(c_dict["genes_to_coverage"][s][gc_idx])
-                                gene_detection_in_mod.append(c_dict["genes_to_detection"][s][gc_idx])
+                                gene_coverages_in_mod.append(c_dict["genes_to_coverage"][s][int(gc)])
+                                gene_detection_in_mod.append(c_dict["genes_to_detection"][s][int(gc)])
 
                             d[self.modules_unique_id][sample_cov_header] = ",".join([str(c) for c in gene_coverages_in_mod])
                             d[self.modules_unique_id][sample_det_header] = ",".join([str(d) for d in gene_detection_in_mod])
@@ -3936,20 +3305,25 @@ def generate_output_dict_for_kofams(self, ko_superdict, headers_to_include=None)
 
         # use the kofam_hits output mode header set by default
         if not headers_to_include:
-            headers_to_include = set(OUTPUT_MODES["hits"]["headers"])
+            headers_to_include = set(OUTPUT_MODES["kofam_hits"]["headers"])
         else:
             headers_to_include = set(headers_to_include)
 
         d = {}
         if not self.ko_unique_id:
             self.ko_unique_id = 0
+        """
+        ### FIXME ###
+        See note in previous function about the weirdness of the unique_id with multiple output files.
+        ### FIXME ###
+        """
 
         for bin, ko_dict in ko_superdict.items():
             for ko, k_dict in ko_dict.items():
                 if anvio.DEBUG:
                     self.run.info("Generating output for KO", ko)
 
-                metadata_dict = self.get_ko_metadata_dictionary(ko, dont_fail_if_not_found=True)
+                metadata_dict = self.get_ko_metadata_dictionary(ko)
 
                 for gc_id in k_dict["gene_caller_ids"]:
                     d[self.ko_unique_id] = {}
@@ -3958,35 +3332,28 @@ def generate_output_dict_for_kofams(self, ko_superdict, headers_to_include=None)
                         d[self.ko_unique_id][self.name_header] = bin
                     if "db_name" in headers_to_include:
                         d[self.ko_unique_id]["db_name"] = self.database_name
-                    if "enzyme" in headers_to_include:
-                        d[self.ko_unique_id]["enzyme"] = ko
+                    if "ko" in headers_to_include:
+                        d[self.ko_unique_id]["ko"] = ko
                     if "gene_caller_id" in headers_to_include:
                         d[self.ko_unique_id]["gene_caller_id"] = gc_id
                     if "contig" in headers_to_include:
                         d[self.ko_unique_id]["contig"] = k_dict["genes_to_contigs"][gc_id]
-                    if "modules_with_enzyme" in headers_to_include:
-                        d[self.ko_unique_id]["modules_with_enzyme"] = metadata_dict["modules_with_enzyme"]
-                    if "enzyme_definition" in headers_to_include:
-                        d[self.ko_unique_id]["enzyme_definition"] = metadata_dict["enzyme_definition"]
+                    if "modules_with_ko" in headers_to_include:
+                        d[self.ko_unique_id]["modules_with_ko"] = metadata_dict["modules_with_ko"]
+                    if "ko_definition" in headers_to_include:
+                        d[self.ko_unique_id]["ko_definition"] = metadata_dict["ko_definition"]
 
                     if self.add_coverage:
-                        if self.enzymes_txt:
-                            for s in self.coverage_sample_list:
-                                sample_cov_header = s + "_coverage"
-                                d[self.ko_unique_id][sample_cov_header] = self.enzymes_txt_data[self.enzymes_txt_data["gene_id"] == gc_id]["coverage"].values[0]
-                                sample_det_header = s + "_detection"
-                                d[self.ko_unique_id][sample_det_header] = self.enzymes_txt_data[self.enzymes_txt_data["gene_id"] == gc_id]["detection"].values[0]
-                        else:
-                            if not self.profile_db:
-                                raise ConfigError("We're sorry that you came all this way, but it seems the profile database has "
-                                                  "not been initialized, therefore we cannot add coverage values to your output. "
-                                                  "This is likely a bug or developer mistake. It is a sad day :(")
+                        if not self.profile_db:
+                            raise ConfigError("We're sorry that you came all this way, but it seems the profile database has "
+                                              "not been initialized, therefore we cannot add coverage values to your output. "
+                                              "This is likely a bug or developer mistake. It is a sad day :(")
 
-                            for s in self.coverage_sample_list:
-                                sample_cov_header = s + "_coverage"
-                                d[self.ko_unique_id][sample_cov_header] = self.profile_db.gene_level_coverage_stats_dict[gc_id][s]['mean_coverage']
-                                sample_det_header = s + "_detection"
-                                d[self.ko_unique_id][sample_det_header] = self.profile_db.gene_level_coverage_stats_dict[gc_id][s]['detection']
+                        for s in self.coverage_sample_list:
+                            sample_cov_header = s + "_coverage"
+                            d[self.ko_unique_id][sample_cov_header] = self.profile_db.gene_level_coverage_stats_dict[gc_id][s]['mean_coverage']
+                            sample_det_header = s + "_detection"
+                            d[self.ko_unique_id][sample_det_header] = self.profile_db.gene_level_coverage_stats_dict[gc_id][s]['detection']
 
                     self.ko_unique_id += 1
 
@@ -4048,7 +3415,7 @@ def append_kegg_metabolism_superdicts(self, module_superdict_for_list_of_splits,
                 raise ConfigError(f"Uh oh. You've requested to generate output from the {self.available_modes[mode]['data_dict']} "
                                   "data dictionary, but we don't know about that one.")
 
-            file_obj.append(output_dict, headers=['key'] + header_list, do_not_write_key_column=True)
+            file_obj.append(output_dict, key_header="unique_id", headers=header_list)
 
             if anvio.DEBUG:
                 self.run.warning(f"Appended metabolism dictionary to {file_obj.path}" ,
@@ -4083,7 +3450,7 @@ def store_kegg_metabolism_superdicts(self, module_superdict, ko_superdict):
             else:
                 raise ConfigError(f"Uh oh. You've requested to generate output from the {self.available_modes[mode]['data_dict']} "
                                   "data dictionary, but we don't know about that one.")
-            utils.store_dict_as_TAB_delimited_file(output_dict, output_path, headers=['key'] + header_list, do_not_write_key_column=True)
+            utils.store_dict_as_TAB_delimited_file(output_dict, output_path, key_header="unique_id", headers=header_list)
             self.run.info("%s output file" % mode, output_path, nl_before=1)
 
 
@@ -4094,25 +3461,6 @@ def set_to_list(obj):
             if isinstance(obj, set):
                 return list(obj)
 
-        if self.user_input_dir:
-            if self.only_user_modules:
-                kegg_superdict['data_sources'] = 'USER'
-            else:
-                kegg_superdict['data_sources'] = 'USER,KEGG'
-            user_modules_db = ModulesDatabase(self.user_modules_db_path, args=self.args, quiet=self.quiet)
-            kegg_superdict['user_modules_db_hash'] = user_modules_db.db.get_meta_value('hash')
-            user_modules_db.disconnect()
-        else:
-            kegg_superdict['data_sources'] = 'KEGG'
-            kegg_superdict['user_modules_db_hash'] = ''
-
-        if self.only_user_modules:
-            kegg_superdict['kegg_modules_db_hash'] = ''
-        else:
-            kegg_modules_db = ModulesDatabase(self.kegg_modules_db_path, args=self.args, quiet=self.quiet)
-            kegg_superdict['kegg_modules_db_hash'] = kegg_modules_db.db.get_meta_value('hash')
-            kegg_modules_db.disconnect()
-
         filesnpaths.is_output_file_writable(file_path)
         open(file_path, 'w').write(json.dumps(kegg_superdict, indent=4, default=set_to_list))
         self.run.info("JSON Output", file_path)
@@ -4166,12 +3514,10 @@ def __init__(self, args, run=run, progress=progress):
             raise ConfigError("You appear to have provided both an input text file and a contigs database, and "
                               "now anvi'o is not quite sure which one to work on. Please choose only one. :) ")
 
-        # init the base classes for access to shared paths and such
+        # init the base class for access to shared paths and such
         KeggContext.__init__(self, args)
-        KeggEstimatorArgs.__init__(self, self.args)
 
-        # This can be initialized later if necessary by setup_ko_dict()
-        self.ko_dict = {}
+        KeggEstimatorArgs.__init__(self, self.args)
 
         if anvio.DEBUG:
             self.run.info("Completeness threshold: multi estimator", self.module_completion_threshold)
@@ -4183,7 +3529,7 @@ def __init__(self, args, run=run, progress=progress):
 
         self.databases = None
 
-        # INPUT SANITY CHECKS
+        # input sanity checks
         if (self.external_genomes_file and (self.internal_genomes_file or self.metagenomes_file)) \
             or (self.internal_genomes_file and (self.external_genomes_file or self.metagenomes_file)) \
             or (self.metagenomes_file and (self.external_genomes_file or self.internal_genomes_file)):
@@ -4194,11 +3540,8 @@ def __init__(self, args, run=run, progress=progress):
             raise ConfigError("You've provided some JSON parameters. We are sorry to say that these parameters don't "
                               "work for input files with multiple contigs DBs. :( ")
 
-        if self.only_user_modules and not self.user_input_dir:
-            raise ConfigError("You can only use the flag --only-user-modules if you provide a --user-modules directory.")
-
-        # OUTPUT SANITY CHECKS
-        if self.matrix_format and self.long_format_mode:
+        # output sanity checks
+        if self.matrix_format and args.kegg_output_modes:
             raise ConfigError("Please request EITHER long-format output modes OR matrix format. When you ask for both "
                               "like this, anvi'o is confused. :) ")
         if self.matrix_include_metadata and not self.matrix_format:
@@ -4223,61 +3566,10 @@ def __init__(self, args, run=run, progress=progress):
         elif self.internal_genomes_file:
             self.name_header = 'bin_name'
 
-        # LOAD KEGG DATA
-        if not self.only_user_modules:
-            # citation output for KEGG data
-            if not self.quiet:
-                self.run.warning("Anvi'o will reconstruct metabolism for modules in the KEGG MODULE database, as described in "
-                                 "Kanehisa and Goto et al (doi:10.1093/nar/gkr988). When you publish your findings, "
-                                 "please do not forget to properly credit this work.", lc='green', header="CITATION")
-
-            # init the enzyme accession to function definition dictionary
-            # (henceforth referred to as the KO dict, even though it doesn't only contain KOs for user data)
-            self.setup_ko_dict()
-            annotation_source_set = set(['KOfam'])
-
-            # check for kegg modules db
-            if not os.path.exists(self.kegg_modules_db_path):
-                raise ConfigError(f"It appears that a KEGG modules database ({self.kegg_modules_db_path}) does not exist in the provided data directory. "
-                                  f"Perhaps you need to specify a different data directory using --kegg-data-dir. Or perhaps you didn't run "
-                                  f"`anvi-setup-kegg-kofams`, though we are not sure how you got to this point in that case."
-                                  f"But fine. Hopefully you now know what you need to do to make this message go away.")
-
-        else: # USER data only
-            annotation_source_set = set([])
-            self.kegg_modules_db_path = None # we nullify this just in case
-
-
-        # LOAD USER DATA
-        if self.user_input_dir:
-            # check for user modules db
-            if not os.path.exists(self.user_modules_db_path):
-                raise ConfigError(f"It appears that a USER-DEFINED modules database ({self.user_modules_db_path}) does not exist in the provided data directory. "
-                                  f"Perhaps you need to specify a different data directory using --user-modules. Or perhaps you didn't run "
-                                  f"`anvi-setup-user-modules`. Either way, you're still awesome. Have a great day ;)")
-
-            # expand annotation source set to include those in user db
-            user_modules_db = ModulesDatabase(self.user_modules_db_path, args=self.args, quiet=self.quiet)
-            modules_db_sources = set(user_modules_db.db.get_meta_value('annotation_sources').split(','))
-            annotation_source_set.update(modules_db_sources)
-
-            # we now have to add any enzymes from the user's modules db to the ko dict
-            user_kos = user_modules_db.get_ko_function_dict()
-            for k in user_kos:
-                if k not in self.ko_dict:
-                    self.ko_dict[k] = user_kos[k]
-            user_modules_db.disconnect()
-
-        self.annotation_sources_to_use = list(annotation_source_set)
-
-        # tell user what metabolism data we are using
-        if self.user_input_dir:
-            if self.only_user_modules:
-                self.run.info('Metabolism data', "USER only")
-            else:
-                self.run.info('Metabolism data', "KEGG + USER-DEFINED")
-        else:
-            self.run.info('Metabolism data', "KEGG only")
+        if not self.quiet:
+            self.run.warning("Anvi'o will reconstruct metabolism for modules in the KEGG MODULE database, as described in "
+                             "Kanehisa and Goto et al (doi:10.1093/nar/gkr988). When you publish your findings, "
+                             "please do not forget to properly credit this work.", lc='green', header="CITATION")
 
 
     def list_output_modes(self):
@@ -4301,19 +3593,19 @@ def update_available_headers_for_multi(self):
             self.available_headers["genome_name"] = {
                                             'cdict_key': None,
                                             'mode_type': 'all',
-                                            'description': "Name of genome in which we find gene annotations (hits) and/or modules"
+                                            'description': "Name of genome in which we find KOfam hits and/or KEGG modules"
                                             }
         elif self.name_header == 'bin_name':
             self.available_headers["bin_name"] = {
                                             'cdict_key': None,
                                             'mode_type': 'all',
-                                            'description': "Name of bin in which we find gene annotations (hits) and/or modules"
+                                            'description': "Name of bin in which we find KOfam hits and/or KEGG modules"
                                             }
         elif self.name_header == 'contig_name':
             self.available_headers["contig_name"] = {
                                             'cdict_key': None,
                                             'mode_type': 'all',
-                                            'description': "Name of contig (in a metagenome) in which we find gene annotations (hits) and/or modules"
+                                            'description': "Name of contig (in a metagenome) in which we find KOfam hits and/or KEGG modules"
                                             }
 
         # here we make sure db_name is always included in the multi-mode output
@@ -4343,36 +3635,7 @@ def init_metagenomes(self):
         """This function parses the input metagenomes file and adjusts class attributes as needed"""
 
         g = MetagenomeDescriptions(self.args, run=self.run, progress=self.progress, enforce_single_profiles=False)
-        g.load_metagenome_descriptions(skip_functions=(not self.matrix_format))
-
-        # sanity check that all dbs are properly annotated with required sources
-        for src in self.annotation_sources_to_use:
-            bad_metagenomes = [v['name'] for v in g.metagenomes.values() if not v['gene_function_sources'] or src not in v['gene_function_sources']]
-            if len(bad_metagenomes):
-                bad_metagenomes_txt = [f"'{bad}'" for bad in bad_metagenomes]
-                n = len(bad_metagenomes)
-                it_or_them = P('it', n, alt='them')
-                raise ConfigError(f"Bad news :/ It seems {n} of your {P('metagenome', len(g.metagenomes))} "
-                                  f"{P('is', n, alt='are')} lacking any function annotations for "
-                                  f"`{src}`. This means you either need to annotate {it_or_them} by running the appropriate "
-                                  f"annotation program on {it_or_them}, import functional annotations into {it_or_them} from this source using "
-                                  f"`anvi-import-functions`, or remove {it_or_them} from your internal and/or external genomes files "
-                                  f"before re-running `anvi-estimate-metabolism. Here is the list of offenders: "
-                                  f"{', '.join(bad_metagenomes_txt)}.")
-
-        if self.matrix_format:
-            for name in g.metagenomes:
-                gene_functions_in_genome_dict, _, _= g.get_functions_and_sequences_dicts_from_contigs_db(name, requested_source_list=self.annotation_sources_to_use, return_only_functions=True)
-                # reminder, an entry in gene_functions_in_genome_dict looks like this:
-                # 4264: {'KOfam': None, 'COG20_FUNCTION': None, 'UpxZ': ('PF06603.14', 'UpxZ', 3.5e-53)}
-                #print(gene_functions_in_genome_dict)
-                for gcid, func_dict in gene_functions_in_genome_dict.items():
-                    for source, func_tuple in func_dict.items():
-                        if func_tuple:
-                            acc_string, func_def, eval = func_tuple
-                            for acc in acc_string.split('!!!'):
-                                if acc not in self.ko_dict:
-                                    self.ko_dict[acc] = {'definition': func_def}
+        g.load_metagenome_descriptions()
 
         # enforce metagenome mode
         if not self.metagenome_mode:
@@ -4386,35 +3649,17 @@ def init_external_internal_genomes(self):
         """This function parses the input internal/external genomes file and adjusts class attributes as needed"""
 
         g = GenomeDescriptions(self.args, run=self.run, progress=progress_quiet)
-        g.load_genomes_descriptions(skip_functions=(not self.matrix_format), init=False)
-
-        # sanity check that all dbs are properly annotated with required sources
-        for src in self.annotation_sources_to_use:
-            bad_genomes = [v['name'] for v in g.genomes.values() if not v['gene_function_sources'] or src not in v['gene_function_sources']]
-            if len(bad_genomes):
-                bad_genomes_txt = [f"'{bad_genome}'" for bad_genome in bad_genomes]
-                it_or_them = P('it', len(bad_genomes), alt='them')
-                raise ConfigError(f"Bad news :/ It seems {len(bad_genomes)} of your {P('genome', len(g.genomes))} "
-                                  f"{P('is', len(bad_genomes), alt='are')} lacking any function annotations for "
-                                  f"`{src}`. This means you either need to annotate {it_or_them} by running the appropriate "
-                                  f"annotation program on {it_or_them}, import functional annotations into {it_or_them} from this source using "
-                                  f"`anvi-import-functions`, or remove {it_or_them} from your internal and/or external genomes files "
-                                  f"before re-running `anvi-estimate-metabolism. Here is the list of offenders: "
-                                  f"{', '.join(bad_genomes_txt)}.")
-
-        if self.matrix_format:
-            for genome_name in g.genomes:
-                gene_functions_in_genome_dict, _, _= g.get_functions_and_sequences_dicts_from_contigs_db(genome_name, requested_source_list=self.annotation_sources_to_use, return_only_functions=True)
-                # reminder, an entry in gene_functions_in_genome_dict looks like this:
-                # 4264: {'KOfam': None, 'COG20_FUNCTION': None, 'UpxZ': ('PF06603.14', 'UpxZ', 3.5e-53)}
-                #print(gene_functions_in_genome_dict)
-                for gcid, func_dict in gene_functions_in_genome_dict.items():
-                    for source, func_tuple in func_dict.items():
-                        if func_tuple:
-                            acc_string, func_def, eval = func_tuple
-                            for acc in acc_string.split('!!!'):
-                                if acc not in self.ko_dict:
-                                    self.ko_dict[acc] = {'definition': func_def}
+        g.load_genomes_descriptions(skip_functions=True, init=False)
+
+        bad_genomes = [v['name'] for v in g.genomes.values() if not v['gene_function_sources'] or 'KOfam' not in v['gene_function_sources']]
+        if len(bad_genomes):
+            bad_genomes_txt = [f"'{bad_genome}'" for bad_genome in bad_genomes]
+            raise ConfigError(f"Bad news :/ It seems {len(bad_genomes)} of your {P('genome', len(g.genomes))} "
+                              f"{P('are', len(bad_genomes), alt='is')} lacking any function annotations for "
+                              f"`KOfam`. This means you either need to run the program `anvi-run-kegg-kofams` "
+                              f"on them, or remove them from your internal and/or external genomes files "
+                              f"before re-running `anvi-estimate-metabolism. Here is the list of offenders: "
+                              f"{', '.join(bad_genomes_txt)}.")
 
         # metagenome mode must be off
         if self.metagenome_mode:
@@ -4460,8 +3705,6 @@ def get_args_for_single_estimator(self, db_name):
         args.database_name = db_name
         args.multi_mode = True
         args.include_metadata = self.matrix_include_metadata
-        args.user_modules = self.user_input_dir or None
-        args.only_user_modules = self.only_user_modules
 
         self.update_available_headers_for_multi()
 
@@ -4469,7 +3712,6 @@ def get_args_for_single_estimator(self, db_name):
             self.run.info("Completeness threshold: single estimator", args.module_completion_threshold)
             self.run.info("Database name: single estimator", args.database_name)
             self.run.info("Matrix metadata: single estimator", args.matrix_include_metadata)
-            self.run.info("User data directory: single estimator", args.input_dir)
 
         return args
 
@@ -4496,13 +3738,7 @@ def get_metabolism_superdict_multi(self):
             if not self.matrix_format:
                 KeggMetabolismEstimator(args, progress=progress_quiet, run=run_quiet).estimate_metabolism(output_files_dictionary=files_dict)
             else:
-                metabolism_super_dict[metagenome_name], ko_hits_super_dict[metagenome_name] = KeggMetabolismEstimator(args, \
-                                                                                                    progress=progress_quiet, \
-                                                                                                    run=run_quiet).estimate_metabolism(skip_storing_data=True, \
-                                                                                                    return_subset_for_matrix_format=True, \
-                                                                                                    all_modules_in_db=self.all_modules_in_db, \
-                                                                                                    all_kos_in_db=self.all_kos_in_db, \
-                                                                                                    module_paths_dict=self.module_paths_dict)
+                metabolism_super_dict[metagenome_name], ko_hits_super_dict[metagenome_name] = KeggMetabolismEstimator(args, progress=progress_quiet, run=run_quiet).estimate_metabolism(skip_storing_data=True, return_subset_for_matrix_format=True)
 
             self.progress.increment()
             self.progress.reset()
@@ -4543,15 +3779,12 @@ def estimate_metabolism(self):
             self.run.info("Num Contigs DBs in file", len(self.database_names))
             self.run.info('Metagenome Mode', self.metagenome_mode)
 
-        self.init_data_from_modules_db()
-
         # these will be empty dictionaries unless matrix format
         kegg_metabolism_superdict_multi, ko_hits_superdict_multi = self.get_metabolism_superdict_multi()
 
         if self.matrix_format:
             self.store_metabolism_superdict_multi_matrix_format(kegg_metabolism_superdict_multi, ko_hits_superdict_multi)
 
-
 ######### OUTPUT GENERATION FUNCTIONS -- MULTI #########
 
     def write_stat_to_matrix(self, stat_name, stat_header, stat_key, stat_dict, item_list, stat_metadata_headers,
@@ -4622,8 +3855,8 @@ def write_stat_to_matrix(self, stat_name, stat_header, stat_key, stat_dict, item
                 if self.matrix_include_metadata:
                     if stat_header == 'module':
                         metadata_dict = self.get_module_metadata_dictionary(m)
-                    elif stat_header == 'enzyme':
-                        metadata_dict = self.get_ko_metadata_dictionary(m, dont_fail_if_not_found=True)
+                    elif stat_header == 'KO':
+                        metadata_dict = self.get_ko_metadata_dictionary(m)
                     else:
                         raise ConfigError(f"write_stat_to_matrix() speaking. I need to access metadata for {stat_header} "
                                           "statistics but there is no function defined for this.")
@@ -4679,6 +3912,8 @@ def store_metabolism_superdict_multi_matrix_format(self, module_superdict_multi,
         If self.matrix_include_metadata was True, these superdicts will also include relevant metadata.
         """
 
+        # we need this for metadata
+        self.kegg_modules_db = KeggModulesDatabase(self.kegg_modules_db_path, args=self.args)
         include_zeros = not self.exclude_zero_modules
 
         # module stats that each will be put in separate matrix file
@@ -4696,49 +3931,45 @@ def store_metabolism_superdict_multi_matrix_format(self, module_superdict_multi,
                                       write_rows_with_all_zeros=include_zeros)
 
         # now we make a KO hit count matrix
+        self.setup_ko_dict()
         ko_list = list(self.ko_dict.keys())
         ko_list.sort()
-        self.write_stat_to_matrix(stat_name='enzyme_hits', stat_header='enzyme', stat_key='num_hits', stat_dict=ko_superdict_multi, \
+        self.write_stat_to_matrix(stat_name='ko_hits', stat_header='KO', stat_key='num_hits', stat_dict=ko_superdict_multi, \
                                   item_list=ko_list, stat_metadata_headers=KO_METADATA_HEADERS, \
                                   write_rows_with_all_zeros=include_zeros)
 
         # if necessary, make module specific KO matrices
         if self.module_specific_matrices:
             skipped_mods = []
-            mods_defined_by_mods = []
             for mod in self.module_specific_matrices:
                 if mod not in module_list:
                     skipped_mods.append(mod)
                     continue
 
-                mod_def = self.all_modules_in_db[mod]['DEFINITION']
-                if isinstance(mod_def, list):
-                    mod_def = " ".join(mod_def)
-                kos_in_mod = self.get_enzymes_from_module_definition_in_order(mod_def)
-                mod_big_steps = utils.split_by_delim_not_within_parens(mod_def, " ")
-
-                if not kos_in_mod:
-                    mods_defined_by_mods.append(mod)
-                    continue
+                kos_in_mod = self.kegg_modules_db.get_kos_from_module_definition(mod)
+                mod_big_steps = self.kegg_modules_db.get_top_level_steps_in_module_definition(mod)
 
                 if not self.no_comments:
                     # determine where to place comments containing module steps
                     step_comments = {}
                     lines_with_comment = []
                     for s in mod_big_steps:
-                        split_s = re.sub("[\(\)\+\-,]", " ", s).strip()
-                        split_s = split_s.split(" ")
+                        # what is the first KO in this step?
+                        first_k = s.find("K")
 
                         # we skip making comments on steps without KOs like '--'
-                        if not split_s:
+                        if first_k < 0:
                             continue
-                        # what is the first KO in this step?
-                        first_ko = split_s[0]
 
-                        # figure out where this KO is in the list (it could be there multiple times)
+                        # figure out where this KO is in the list
+                        first_ko = s[first_k:first_k+6]
                         first_ko_indices = [i for i, x in enumerate(kos_in_mod) if x == first_ko]
+                        if not first_ko_indices:
+                            raise ConfigError(f"Something went wrong while writing a comment for step '{s}' in the "
+                                              f"matrix for {mod}. We couldn't find the first KO, {first_ko}, in the "
+                                              "KO list for this module.")
 
-                        # if there are multiple instances of this KO, where should we put the step comment?
+                        # where should we put the step comment?
                         idx = first_ko_indices[0]
                         if len(first_ko_indices) > 1:
                             next_index = 0
@@ -4748,12 +3979,11 @@ def store_metabolism_superdict_multi_matrix_format(self, module_superdict_multi,
 
                         step_comments[idx] = s
                         lines_with_comment.append(idx)
-
                 else:
                     step_comments = None
 
-                stat = f"{mod}_enzyme_hits"
-                self.write_stat_to_matrix(stat_name=stat, stat_header="enzyme", stat_key='num_hits', stat_dict=ko_superdict_multi, \
+                stat = f"{mod}_ko_hits"
+                self.write_stat_to_matrix(stat_name=stat, stat_header="KO", stat_key='num_hits', stat_dict=ko_superdict_multi, \
                                           item_list=kos_in_mod, stat_metadata_headers=KO_METADATA_HEADERS, \
                                           write_rows_with_all_zeros=True, comment_dictionary=step_comments)
 
@@ -4762,13 +3992,10 @@ def store_metabolism_superdict_multi_matrix_format(self, module_superdict_multi,
                 self.run.warning(f"We couldn't recognize the following module(s): {skipped_list}. So we didn't generate "
                                  "output matrices for them. Maybe you made a typo? Or put an extra comma in somewhere?")
 
-            if mods_defined_by_mods:
-                skipped_list = ", ".join(mods_defined_by_mods)
-                self.run.warning(f"The following modules were completely defined by other modules and therefore we didn't "
-                                 f"generate enzyme hit matrices for them: {skipped_list}.")
+        self.kegg_modules_db.disconnect()
 
 
-class ModulesDatabase(KeggContext):
+class KeggModulesDatabase(KeggContext):
     """To create or access a Modules DB.
 
     This DB should be created in the Kegg Data folder during KEGG setup, and will be populated with information from the
@@ -4781,26 +4008,19 @@ class ModulesDatabase(KeggContext):
     >>> from anvio import kegg
     >>> path_to_db = "YOUR/PATH/HERE/MODULES.db"
     >>> args = argparse.Namespace()
-    >>> kegg.ModulesDatabase(path_to_db, args)
+    >>> kegg.KeggModulesDatabase(path_to_db, args)
     ```
     """
 
-    def __init__(self, db_path, args, module_data_directory=None, module_dictionary=None, pathway_dictionary=None, data_source='KEGG', run=run, progress=progress, quiet=False):
+    def __init__(self, db_path, args, module_dictionary=None, pathway_dictionary=None, run=run, progress=progress, quiet=False):
         self.db = None
         self.db_path = db_path
-        self.module_data_directory = module_data_directory # only required for create()
         self.module_dict = module_dictionary
         self.pathway_dict = pathway_dictionary
-        self.data_source = data_source
         self.run = run
         self.progress = progress
         self.quiet = quiet
 
-        # keep track of functional annotation sources needed for the modules in this db
-        self.annotation_sources = set()
-        if self.data_source == 'KEGG':
-            self.annotation_sources.add('KOfam')
-
         if anvio.DEBUG:
             self.run.info("Modules DB quiet param", self.quiet)
 
@@ -4823,16 +4043,16 @@ def __init__(self, db_path, args, module_data_directory=None, module_dictionary=
 
             if not self.quiet:
                 self.run.info('Modules database', 'An existing database, %s, has been loaded.' % self.db_path, quiet=self.quiet)
-                self.run.info('Modules', '%d found' % self.db.get_meta_value('num_modules'), quiet=self.quiet)
+                self.run.info('Kegg Modules', '%d found' % self.db.get_meta_value('num_modules'), quiet=self.quiet)
 
         else:
             # if self.module_dict is None, then we tried to initialize the DB outside of setup
             if not self.module_dict:
-                raise ConfigError("ERROR - a new ModulesDatabase() cannot be initialized without providing a modules dictionary. This "
+                raise ConfigError("ERROR - a new KeggModulesDatabase() cannot be initialized without providing a modules dictionary. This "
                                   "usually happens when you try to access a Modules DB before one has been setup. Running `anvi-setup-kegg-kofams` may fix this.")
             # This is commented out because we are not yet using pathways. But it should be uncommented when we get to the point of using them :)
             # if not self.pathway_dict:
-            #     raise ConfigError("ERROR - a new ModulesDatabase() cannot be initialized without providing a pathway dictionary. This "
+            #     raise ConfigError("ERROR - a new KeggModulesDatabase() cannot be initialized without providing a pathway dictionary. This "
             #                       "usually happens when you try to access a Modules DB before one has been setup. Running `anvi-setup-kegg-kofams` may fix this.")
 
 ######### DB GENERATION FUNCTIONS #########
@@ -5036,13 +4256,8 @@ def parse_kegg_modules_line(self, line, current_module, line_num=None, current_d
         # the only exception is that sometimes there is nothing in the data definition field (REFERENCE lines sometimes do this)
         if len(fields) > 1:
             data_vals = fields[1]
-
-            if self.data_source == 'KEGG':
-                # need to sanity check data value field because SOME modules don't follow the 2-space separation formatting
-                vals_are_okay, corrected_vals, corrected_def = self.data_vals_sanity_check(data_vals, current_data_name, current_module)
-            else:
-                # TODO: USER data sanity check
-                vals_are_okay = True # for now we always assume USER data is formatted properly
+            # need to sanity check data value field because SOME modules don't follow the 2-space separation formatting
+            vals_are_okay, corrected_vals, corrected_def = self.data_vals_sanity_check(data_vals, current_data_name, current_module)
 
             if vals_are_okay and len(fields) > 2: # not all lines have a definition field
                 data_def = fields[2]
@@ -5079,18 +4294,14 @@ def parse_kegg_modules_line(self, line, current_module, line_num=None, current_d
     def create(self):
         """Creates the Modules DB"""
 
-        if not self.module_data_directory:
-            raise ConfigError("Some dumb programmer forgot to provide a module_data_directory parameter value to the ModulesDatabase "
-                              "class. The DB can't be created unless it knows where the modules are... Get yourself together.")
-
         self.touch()
 
-        self.progress.new("Loading %s modules into Modules DB..." % len(self.module_dict.keys()))
+        self.progress.new("Loading %s KEGG modules into Modules DB..." % len(self.module_dict.keys()))
 
         # sanity check that we setup the modules previously.
         # It shouldn't be a problem since this function should only be called during the setup process after modules download, but just in case.
-        if not os.path.exists(self.module_data_directory) or len(self.module_dict.keys()) == 0:
-            raise ConfigError("Appparently, the module data files were not correctly setup and now all sorts of things are broken. The "
+        if not os.path.exists(self.module_data_dir) or len(self.module_dict.keys()) == 0:
+            raise ConfigError("Appparently, the Kegg Modules were not correctly setup and now all sorts of things are broken. The "
                               "Modules DB cannot be created from broken things. BTW, this error is not supposed to happen to anyone "
                               "except maybe developers, so if you do not fall into that category you are likely in deep doo-doo. "
                               "Maybe re-running setup with --reset will work? (if not, you probably should email/Slack/telepathically "
@@ -5098,7 +4309,7 @@ def create(self):
                               "in the module dictionary is currently %s" % len(self.module_dict.keys()))
 
         # init the Modules table
-        mod_table = ModulesTable(self.module_table_name)
+        mod_table = KeggModulesTable(self.module_table_name)
 
         # keep track of errors encountered while parsing
         self.parsing_error_dict = {"bad_line_splitting" : [], "bad_kegg_code_format" : []}
@@ -5108,16 +4319,11 @@ def create(self):
         num_modules_parsed = 0
         line_number = 0
         for mnum in self.module_dict.keys():
-            self.progress.update("Parsing Module %s" % mnum)
-            mod_file_path = os.path.join(self.module_data_directory, mnum)
+            self.progress.update("Parsing KEGG Module %s" % mnum)
+            mod_file_path = os.path.join(self.module_data_dir, mnum)
             f = open(mod_file_path, 'rU')
 
             prev_data_name_field = None
-            module_has_annotation_source = False
-            orthology_to_annotation_source = {}  # for sanity check that each enzyme has an annotation source
-            # for sanity check that each enzyme in definition has an orthology line
-            mod_definition = []
-            orth_list = set()
             for line in f.readlines():
                 line = line.strip('\n')
                 line_number += 1
@@ -5145,66 +4351,8 @@ def create(self):
                         else:
                             line -= 1
 
-                        # save definition for later sanity check
-                        if name == 'DEFINITION':
-                            mod_definition.append(val)
-                        if name == 'ORTHOLOGY':
-                            orth_list.add(val)
-                        # keep track of distinct annotation sources for user modules
-                        if self.data_source != 'KEGG' and name == "ORTHOLOGY":
-                            orthology_to_annotation_source[val] = None
-                        if self.data_source != 'KEGG' and name == "ANNOTATION_SOURCE":
-                            self.annotation_sources.add(definition)
-                            module_has_annotation_source = True
-                            if val not in orthology_to_annotation_source:
-                                raise ConfigError(f"Woah. While parsing module {mnum} we found an ANNOTATION_SOURCE for "
-                                                  f"an enzyme, {val}, that does not have an ORTHOLOGY line. Please check the "
-                                                  f"module file and make sure that 1) ORTHOLOGY comes before ANNOTATION_SOURCE, "
-                                                  f"and 2) each enzyme with an ORTHOLOGY also has a corresponding ANNOTATION_SOURCE.")
-                            orthology_to_annotation_source[val] = definition
-
-                        # sanity check for user-defined CLASS value
-                        if self.data_source != 'KEGG' and name == "CLASS":
-                            if len(val.split(";")) != 3:
-                                raise ConfigError(f"The module {mnum} appears to have an invalid CLASS value. That value should be "
-                                                  f"a string with a class, category, and sub-category separated by semi-colons (for a "
-                                                  f"total of two semi-colons in the string). Instead, it is this: {val}")
-
                 f.close()
 
-            # every enzyme in the module definition needs an orthology line
-            mod_definition = " ".join(mod_definition)
-            # anything that is not (),-+ should be converted to spaces, then we can split on the spaces to get the accessions
-            mod_definition = re.sub('[\(\)\+\-,]', ' ', mod_definition).strip()
-            acc_list = re.split(r'\s+', mod_definition)
-            enzymes_in_def = set(acc_list)
-            enzymes_without_orth = enzymes_in_def.difference(orth_list)
-            if enzymes_without_orth:
-                bad_list = ", ".join(enzymes_without_orth)
-                n = len(enzymes_without_orth)
-                raise ConfigError(f"So, there is a thing. And that thing is that there {P('is an enzyme', n, alt='are some enzymes')} "
-                                  f"in the DEFINITION string for module {mnum} that {P('does', n, alt='do')} not have an ORTHOLOGY line, "
-                                  f"and {P('it', n, alt='they')} really should have one. Here {P('it is', n, alt='they are')}: {bad_list}")
-
-            # every user module needs at least one annotation source
-            if self.data_source != 'KEGG' and not module_has_annotation_source:
-                os.remove(self.db_path)
-                raise ConfigError(f"While parsing user module {mnum}, we noticed that it does not have a single "
-                                  f"'ANNOTATION_SOURCE' field. We are sorry to tell you that this is not okay, "
-                                  f"because every user-defined module requires at least one of those fields to tell "
-                                  f"anvi'o where to find its gene annotations. So you should go and take a look at "
-                                  f"the module file at {mod_file_path} and add one 'ANNOTATION_SOURCE' line for each "
-                                  f"gene in the module definition, before re-trying this setup program. Thank you!")
-            # every enzyme needs an annotation source
-            if self.data_source != 'KEGG' and not all(orthology_to_annotation_source.values()):
-                nones = [k for k,v in orthology_to_annotation_source.items() if not v]
-                nones_str = ", ".join(nones)
-                n = len(nones)
-                raise ConfigError(f"*Dalek noises* EXTERMINATE! EXTERMINATE! It seems that your module {mnum} contains "
-                                  f"{P('an enzyme that is', n, alt='some enzymes that are')} missing an ANNOTATION_SOURCE line. "
-                                  f"Please go back in time and fix this. Here {P('is the enzyme', n, alt='are the enzymes')} in "
-                                  f"question here: {nones_str}")
-
             num_modules_parsed += 1
         # once we are done parsing all modules, we store whatever db entries remain in the db_entries list
         # this is necessary because append_and_store() above only stores every 10000 entries
@@ -5214,45 +4362,34 @@ def create(self):
         self.progress.end()
 
         # warn user about parsing errors
-        if self.num_corrected_errors > 0 or self.num_uncorrected_errors > 0:
-            if anvio.DEBUG:
-                self.run.warning("Several parsing errors were encountered while building the Modules DB. "
-                                 "Below you will see which modules threw each type of parsing error. Note that modules which "
-                                 "threw multiple errors will occur in the list as many times as it threw each error.")
-                self.run.info("Bad line splitting (usually due to rogue or missing spaces)", self.parsing_error_dict["bad_line_splitting"])
-                self.run.info("Bad KEGG code format (not corrected; possibly problematic)", self.parsing_error_dict["bad_kegg_code_format"])
-            else: # less verbose
-                self.run.warning("First things first - don't panic. Several parsing errors were encountered while building the Modules DB. "
-                                 "But that is probably okay, because if you got to this point it is likely that we already fixed all of them "
-                                 "ourselves. So don't worry too much. Below you will see how many of each type of error was encountered. If "
-                                 "you would like to see which modules threw these errors, please re-run the setup using the `--debug` flag (you "
-                                 "will also probably need the `--reset` flag). When doing so, you will also see which lines caused issues; this "
-                                 "can be a lot of output, so you can suppress the line-specific output with the `--quiet` flag if that makes things "
-                                 "easier to read. So, in summary: You can probably ignore this warning. But if you want more info: run setup again "
-                                 "with `--reset --debug --quiet` to see exactly which modules had issues, or run with `--reset --debug` to see exactly "
-                                 "which lines in which modules had issues. Anvi'o developers thank you for your attention and patience 😇")
-                self.run.info("Bad line splitting (usually due to rogue or missing spaces)", len(self.parsing_error_dict["bad_line_splitting"]))
-                self.run.info("Bad KEGG code format (usually not correctable)", len(self.parsing_error_dict["bad_kegg_code_format"]))
-
-        if not self.annotation_sources:
-            os.remove(self.db_path)
-            raise ConfigError("We're not sure how you made it this far without having any annotation sources defined in your module files, "
-                              "because we should have noticed this while parsing them. But it happened, and here we are. You need to go add "
-                              "'ANNOTATION_SOURCE' fields to those module files, and then re-do this setup.")
-        annotation_source_list = ",".join(list(self.annotation_sources))
+        if anvio.DEBUG:
+            self.run.warning("Several parsing errors were encountered while building the KEGG Modules DB. "
+                             "Below you will see which modules threw each type of parsing error. Note that modules which "
+                             "threw multiple errors will occur in the list as many times as it threw each error.")
+            self.run.info("Bad line splitting (usually due to rogue or missing spaces)", self.parsing_error_dict["bad_line_splitting"])
+            self.run.info("Bad KEGG code format (not corrected; possibly problematic)", self.parsing_error_dict["bad_kegg_code_format"])
+        else: # less verbose
+            self.run.warning("First things first - don't panic. Several parsing errors were encountered while building the KEGG Modules DB. "
+                             "But that is probably okay, because if you got to this point it is likely that we already fixed all of them "
+                             "ourselves. So don't worry too much. Below you will see how many of each type of error was encountered. If "
+                             "you would like to see which modules threw these errors, please re-run the setup using the `--debug` flag (you "
+                             "will also probably need the `--reset` flag). When doing so, you will also see which lines caused issues; this "
+                             "can be a lot of output, so you can suppress the line-specific output with the `--quiet` flag if that makes things "
+                             "easier to read. So, in summary: You can probably ignore this warning. But if you want more info: run setup again "
+                             "with `--reset --debug --quiet` to see exactly which modules had issues, or run with `--reset --debug` to see exactly "
+                             "which lines in which modules had issues. Anvi'o developers thank you for your attention and patience 😇")
+            self.run.info("Bad line splitting (usually due to rogue or missing spaces)", len(self.parsing_error_dict["bad_line_splitting"]))
+            self.run.info("Bad KEGG code format (usually not correctable)", len(self.parsing_error_dict["bad_kegg_code_format"]))
 
         # give some run info
         self.run.info('Modules database', 'A new database, %s, has been created.' % (self.db_path), quiet=self.quiet)
-        self.run.info('Number of modules', num_modules_parsed, quiet=self.quiet)
+        self.run.info('Number of KEGG modules', num_modules_parsed, quiet=self.quiet)
         self.run.info('Number of entries', mod_table.get_total_entries(), quiet=self.quiet)
         self.run.info('Number of parsing errors (corrected)', self.num_corrected_errors, quiet=self.quiet)
         self.run.info('Number of parsing errors (uncorrected)', self.num_uncorrected_errors, quiet=self.quiet)
-        self.run.info('Annotation sources required for estimation', ", ".join(self.annotation_sources))
 
         # record some useful metadata
         self.db.set_meta_value('db_type', 'modules')
-        self.db.set_meta_value('data_source', self.data_source)
-        self.db.set_meta_value('annotation_sources', annotation_source_list)
         self.db.set_meta_value('num_modules', num_modules_parsed)
         self.db.set_meta_value('total_entries', mod_table.get_total_entries())
         self.db.set_meta_value('creation_date', time.time())
@@ -5289,16 +4426,8 @@ def get_db_content_hash(self):
 
 ######### MODULES TABLE ACCESS FUNCTIONS #########
 
-    def get_modules_table_as_dict(self, data_names_of_interest=[]):
-        """This function loads the modules table and returns it as a dictionary keyed by module.
-
-        Every data_name for the module (NAME, DEFINITION, ORTHOLOGY, etc) will become a key in the
-        inner dictionary, and the corresponding data_value will become its value. For data_names that
-        have multiple values (ORTHOLOGY, COMPOUND, REACTION, etc), the value becomes yet another dictionary
-        of data_value -> data_definition key-value pairs.
-
-        The one exception is DEFINITION lines - there are occasionally multiple of these for one module but
-        these must be returned as a list, not as a dictionary.
+    def get_modules_table_data_values_as_dict(self, data_names_of_interest=[]):
+        """This function loads the modules table and returns it as a dictionary (of data values only) keyed by module.
 
         PARAMETERS
         ==========
@@ -5329,35 +4458,19 @@ def get_modules_table_as_dict(self, data_names_of_interest=[]):
             mod = dict_from_mod_table[entry]['module']
             data_name = dict_from_mod_table[entry]['data_name']
             data_value = dict_from_mod_table[entry]['data_value']
-            data_definition = dict_from_mod_table[entry]['data_definition']
 
             if mod not in module_dictionary:
                 module_dictionary[mod] = {}
 
             if data_name not in module_dictionary[mod]:
-                if not data_definition:
-                    module_dictionary[mod][data_name] = data_value
-                else:
-                    module_dictionary[mod][data_name] = {data_value : data_definition}
+                module_dictionary[mod][data_name] = data_value
             else:
-                # place multiple definition lines into list
-                if data_name == "DEFINITION":
-                    if isinstance(module_dictionary[mod][data_name], list):
-                        module_dictionary[mod][data_name].append(data_value)
-                    else:
-                        existing_val = module_dictionary[mod][data_name]
-                        module_dictionary[mod][data_name] = [existing_val, data_value]
+                if isinstance(module_dictionary[mod][data_name], list):
+                    module_dictionary[mod][data_name].append(data_value)
                 else:
-                    # data_value -> data_definition dictionary
-                    if isinstance(module_dictionary[mod][data_name], dict):
-                        if data_value in module_dictionary[mod][data_name]:
-                            module_dictionary[mod][data_name][data_value] += " / " + data_definition
-                        else:
-                            module_dictionary[mod][data_name][data_value] = data_definition
-                    else:
-                        existing_val = module_dictionary[mod][data_name]
-                        existing_val_data_def = dict_from_mod_table[entry-1]['data_definition']
-                        module_dictionary[mod][data_name] = {existing_val: existing_val_data_def, data_value: data_definition}
+                    # this is a data name that has multiple values, so we need to convert it to a list
+                    existing_val = module_dictionary[mod][data_name]
+                    module_dictionary[mod][data_name] = [existing_val, data_value]
 
         return module_dictionary
 
@@ -5392,8 +4505,8 @@ def get_data_value_entries_for_module_by_data_name(self, module_num, data_name):
                 data_values_to_ret.append(dict_from_mod_table[key]['data_value'])
 
         if not data_values_to_ret:
-            self.run.warning("Just so you know, we tried to fetch data from the Modules database for the data_name field %s "
-                             "and module %s, but didn't come up with anything, so an empty list is being returned. This may "
+            self.run.warning("Just so you know, we tried to fetch data from the KEGG Modules database for the data_name field %s "
+                             "and KEGG module %s, but didn't come up with anything, so an empty list is being returned. This may "
                              "cause errors down the line, and if so we're very sorry for that.")
 
         return data_values_to_ret
@@ -5428,8 +4541,8 @@ def get_data_definition_entries_for_module_by_data_name(self, module_num, data_n
                 data_defs_to_ret.append(dict_from_mod_table[key]['data_definition'])
 
         if not data_defs_to_ret and anvio.DEBUG:
-            self.run.warning("Just so you know, we tried to fetch data definitions from the Modules database for the data_name field %s "
-                             "and module %s, but didn't come up with anything, so an empty list is being returned. This may "
+            self.run.warning("Just so you know, we tried to fetch data definitions from the KEGG Modules database for the data_name field %s "
+                             "and KEGG module %s, but didn't come up with anything, so an empty list is being returned. This may "
                              "cause errors down the line, and if so we're very sorry for that.")
 
         return data_defs_to_ret
@@ -5446,23 +4559,6 @@ def get_all_knums_as_list(self):
         return self.db.get_single_column_from_table(self.module_table_name, 'data_value', unique=True, where_clause=where_clause_string)
 
 
-    def get_ko_function_dict(self):
-        """This function returns a 2-level dictionary keyed by KO number. The inner dict contains a 'definition' field
-           that stores the KO's functional annotation.
-
-           This method effectively builds a partial KO dict similar to the one produced by the setup_ko_dict() function,
-           but containing only the KOs/gene annotations from the modules DB. When being used for user-defined metabolism,
-           it should be expanded later with gene annotations from the contigs database(s) being worked on.
-        """
-        where_clause_string = "data_name = 'ORTHOLOGY'"
-        kos_and_functions = self.db.get_some_columns_from_table(self.module_table_name, "data_value,data_definition", unique=True, where_clause=where_clause_string)
-        ko_func_dict = {}
-        for k,f in kos_and_functions:
-            if k not in ko_func_dict:
-                ko_func_dict[k] = {'definition': f }
-        return ko_func_dict
-
-
     def get_modules_for_knum(self, knum):
         """This function returns a list of modules that the given KO belongs to."""
         where_clause_string = "data_value = '%s'" % (knum)
@@ -5705,7 +4801,7 @@ def get_top_level_steps_in_module_definition(self, mnum):
         """
 
         def_string = self.get_kegg_module_definition(mnum)
-        return utils.split_by_delim_not_within_parens(def_string, " ")
+        return self.split_by_delim_not_within_parens(def_string, " ")
 
 
     def unroll_module_definition(self, mnum, def_lines = None):
@@ -5735,6 +4831,59 @@ def unroll_module_definition(self, mnum, def_lines = None):
         return def_line_paths
 
 
+    def split_by_delim_not_within_parens(self, d, delims, return_delims=False):
+        """Takes a string, and splits it on the given delimiter(s) as long as the delimeter is not within parentheses.
+
+        This function exists because regular expressions don't handle nested parentheses very well. It is used in the
+        recursive module definition unrolling functions to split module steps, but it is generically written in case
+        it could have other uses in the future.
+
+        The function can also be used to determine if the parentheses in the string are unbalanced (it will return False
+        instead of the list of splits in this situation)
+
+        PARAMETERS
+        ==========
+        d : str
+            string to split
+        delims : str or list of str
+            a single delimiter, or a list of delimiters, to split on
+        return_delims : boolean
+            if this is true then the list of delimiters found between each split is also returned
+
+        RETURNS
+        =======
+        If parentheses are unbalanced in the string, this function returns False. Otherwise:
+        splits : list
+            strings that were split from d
+        delim_list : list
+            delimiters that were found between each split (only returned if return_delims is True)
+        """
+
+        parens_level = 0
+        last_split_index = 0
+        splits = []
+        delim_list = []
+        for i in range(len(d)):
+            # only split if not within parentheses
+            if d[i] in delims and parens_level == 0:
+                splits.append(d[last_split_index:i])
+                delim_list.append(d[i])
+                last_split_index = i + 1 # we add 1 here to skip the space
+            elif d[i] == "(":
+                parens_level += 1
+            elif d[i] == ")":
+                parens_level -= 1
+
+            # if parentheses become unbalanced, return False to indicate this
+            if parens_level < 0:
+                return False
+        splits.append(d[last_split_index:len(d)])
+
+        if return_delims:
+            return splits, delim_list
+        return splits
+
+
     def recursive_definition_unroller(self, step):
         """This function recursively splits a module definition into its components.
 
@@ -5758,7 +4907,7 @@ def recursive_definition_unroller(self, step):
             all paths that the input step has been unrolled into
         """
 
-        split_steps = utils.split_by_delim_not_within_parens(step, " ")
+        split_steps = self.split_by_delim_not_within_parens(step, " ")
         paths_list = [[]]  # list to save all paths, with initial empty path list to extend from
         for s in split_steps:
             # base case: step is a ko, mnum, non-essential step, or '--'
@@ -5769,19 +4918,19 @@ def recursive_definition_unroller(self, step):
                 if s[0] == "(" and s[-1] == ")":
                     # here we try splitting to see if removing the outer parentheses will make the definition become unbalanced
                     # (the only way to figure this out is to try it because regex cannot handle nested parentheses)
-                    comma_substeps = utils.split_by_delim_not_within_parens(s[1:-1], ",")
+                    comma_substeps = self.split_by_delim_not_within_parens(s[1:-1], ",")
                     if not comma_substeps: # if it doesn't work, try without removing surrounding parentheses
-                        comma_substeps = utils.split_by_delim_not_within_parens(s, ",")
-                    space_substeps = utils.split_by_delim_not_within_parens(s[1:-1], " ")
+                        comma_substeps = self.split_by_delim_not_within_parens(s, ",")
+                    space_substeps = self.split_by_delim_not_within_parens(s[1:-1], " ")
                     if not space_substeps:
-                        space_substeps = utils.split_by_delim_not_within_parens(s, " ")
+                        space_substeps = self.split_by_delim_not_within_parens(s, " ")
                 else:
-                    comma_substeps = utils.split_by_delim_not_within_parens(s, ",")
-                    space_substeps = utils.split_by_delim_not_within_parens(s, " ")
+                    comma_substeps = self.split_by_delim_not_within_parens(s, ",")
+                    space_substeps = self.split_by_delim_not_within_parens(s, " ")
 
                 # complex case: no commas OR spaces outside parentheses so this is a protein complex rather than a compound step
                 if len(comma_substeps) == 1 and len(space_substeps) == 1:
-                    complex_components, delimiters = utils.split_by_delim_not_within_parens(s, ["+","-"], return_delims=True)
+                    complex_components, delimiters = self.split_by_delim_not_within_parens(s, ["+","-"], return_delims=True)
                     complex_strs = [""]
 
                     # reconstruct the complex (and any alternate possible complexes) while keeping the +/- structure the same
@@ -5837,11 +4986,11 @@ def split_path(self, step):
         """
 
         if step[0] == "(" and step[-1] == ")":
-            substeps = utils.split_by_delim_not_within_parens(step[1:-1], ",")
+            substeps = self.split_by_delim_not_within_parens(step[1:-1], ",")
             if not substeps: # if it doesn't work, try without removing surrounding parentheses
-                substeps = utils.split_by_delim_not_within_parens(step, ",")
+                substeps = self.split_by_delim_not_within_parens(step, ",")
         else:
-            substeps = utils.split_by_delim_not_within_parens(step, ",")
+            substeps = self.split_by_delim_not_within_parens(step, ",")
 
         alt_path_list = []
         for s in substeps:
@@ -5852,7 +5001,7 @@ def split_path(self, step):
         return alt_path_list
 
 
-class ModulesTable:
+class KeggModulesTable:
     """This class defines operations for creating the KEGG Modules table in Modules.db"""
 
     def __init__(self, mod_table_name = None):
@@ -5863,7 +5012,7 @@ def __init__(self, mod_table_name = None):
         if mod_table_name:
             self.module_table_name = mod_table_name
         else:
-            raise ConfigError("Beep Beep. Warning. ModulesTable was initialized without knowing its own name.")
+            raise ConfigError("Beep Beep. Warning. KeggModulesTable was initialized without knowing its own name.")
 
 
     def append_and_store(self, db, module_num, data_name, data_value, data_definition=None, line_num=None):
@@ -5962,7 +5111,7 @@ def get_enrichment_input(self, output_file_path):
         The input format for anvi-script-enrichment-stats is described in a comment at the top of that script, and here is
         how we get the values for each column:
         The first column, 'KEGG_MODULE', and second column 'accession', are already in the modules mode output as 'module_name'
-        and 'module', respectively.
+        and 'kegg_module', respectively.
         The 'N_*' columns are the total number of samples in each group.
         For each module, this function determines which samples the module is 'present' in according to the specified completion threshold.
         This determines the list of samples for the 'sample_ids' column as well as the 'p_*' proportions for each group of samples.
@@ -5980,7 +5129,7 @@ def get_enrichment_input(self, output_file_path):
         modules_df = pd.read_csv(self.modules_txt, sep='\t')
 
         # make sure we have all the columns we need in modules mode output, since this output can be customized
-        required_modules_txt_headers = ['module', 'module_completeness', 'module_name']
+        required_modules_txt_headers = ['kegg_module', 'module_completeness', 'module_name']
         missing_headers = []
         for h in required_modules_txt_headers:
             if h not in modules_df.columns:
@@ -6101,16 +5250,16 @@ def get_enrichment_input(self, output_file_path):
         # convert modules mode output to enrichment input
         N_values = sample_groups_df['group'].value_counts()
         group_list = N_values.keys()
-        module_list = modules_df['module'].unique()
+        module_list = modules_df['kegg_module'].unique()
 
         output_dict = {}
-        header_list = ['MODULE', 'accession', 'sample_ids', 'associated_groups']
+        header_list = ['KEGG_MODULE', 'accession', 'sample_ids', 'associated_groups']
         for c in group_list:
             header_list.append(f"p_{c}")
             header_list.append(f"N_{c}")
 
         for mod_num in module_list:
-            query_string = f"module == '{mod_num}' and module_completeness >= {self.module_completion_threshold}"
+            query_string = f"kegg_module == '{mod_num}' and module_completeness >= {self.module_completion_threshold}"
             samples_with_mod_df = modules_df.query(query_string)
             if samples_with_mod_df.shape[0] == 0:
                 continue
@@ -6131,7 +5280,7 @@ def get_enrichment_input(self, output_file_path):
 
             mod_name = samples_with_mod_df['module_name'][0]
             output_dict[mod_name] = {}
-            output_dict[mod_name]['MODULE'] = mod_name
+            output_dict[mod_name]['KEGG_MODULE'] = mod_name
             output_dict[mod_name]['accession'] = mod_num
             output_dict[mod_name]['sample_ids'] = ','.join(samples_with_mod_list)
             sample_group_subset = sample_groups_df.loc[samples_with_mod_list]
diff --git a/anvio/merger.py b/anvio/merger.py
index ae2d30c178..5ed40dccda 100644
--- a/anvio/merger.py
+++ b/anvio/merger.py
@@ -66,7 +66,7 @@ def __init__(self, args, run=run, progress=progress):
         self.profiles = []
         self.num_profile_dbs = None
         self.split_names = None
-        self.sample_tuples_from_input_dbs = []
+        self.sample_ids_found_in_input_dbs = []
 
         self.profile_dbs_info_dict = {}
 
@@ -266,11 +266,11 @@ def sanity_check(self):
 
         self.populate_layer_additional_data_dict()
 
-        self.sample_tuples_from_input_dbs = sorted([(v['sample_id'], v['fetch_filter'], v['min_percent_identity']) for v in list(self.profile_dbs_info_dict.values())])
-        if len(self.profile_dbs_info_dict) != len(set(self.sample_tuples_from_input_dbs)):
+        self.sample_ids_found_in_input_dbs = sorted([v['sample_id'] for v in list(self.profile_dbs_info_dict.values())])
+        if len(self.profile_dbs_info_dict) != len(set(self.sample_ids_found_in_input_dbs)):
             raise ConfigError("Sample ids in each single profile database to be merged must be unique. But it is not the case "
                               "with your input :/ Here are the sample names in case you would like to find out which ones occur "
-                              "more than once: '%s'" % (', '.join([tpl[0] for tpl in self.sample_tuples_from_input_dbs])))
+                              "more than once: '%s'" % (', '.join(self.sample_ids_found_in_input_dbs)))
 
         self.num_profile_dbs = len(self.profile_dbs_info_dict)
 
@@ -468,18 +468,13 @@ def merge(self):
 
         self.total_reads_mapped_per_sample = dict([(s, self.layer_additional_data_dict['default'][s]['total_reads_mapped']) for s in self.layer_additional_data_dict['default']])
 
-        sample_ids_list = ', '.join([tpl[0] for tpl in self.sample_tuples_from_input_dbs])
-        sample_fetch_filters_list = ', '.join([tpl[1] or 'None' for tpl in self.sample_tuples_from_input_dbs])
-        sample_min_pct_identity_of_short_reads_list = ', '.join([f"{tpl[2]}" for tpl in self.sample_tuples_from_input_dbs])
-
-        total_reads_mapped_list = ', '.join([str(self.total_reads_mapped_per_sample[tpl[0]]) for tpl in self.sample_tuples_from_input_dbs])
+        sample_ids_list = ', '.join(sorted(self.sample_ids_found_in_input_dbs))
+        total_reads_mapped_list = ', '.join([str(self.total_reads_mapped_per_sample[sample_id]) for sample_id in self.sample_ids_found_in_input_dbs])
 
         meta_values = {'db_type': 'profile',
                        'anvio': __version__,
                        'sample_id': self.sample_id,
                        'samples': sample_ids_list,
-                       'fetch_filter': sample_fetch_filters_list,
-                       'min_percent_identity': sample_min_pct_identity_of_short_reads_list,
                        'total_reads_mapped': total_reads_mapped_list,
                        'merged': True,
                        'blank': False,
@@ -506,10 +501,8 @@ def merge(self):
         self.run.info('profile_db', self.merged_profile_db_path)
         self.run.info('merged', True)
         self.run.info('contigs_db_hash', self.contigs_db_hash)
-        self.run.info('num_runs_processed', len(sample_ids_list))
+        self.run.info('num_runs_processed', len(self.sample_ids_found_in_input_dbs))
         self.run.info('merged_sample_ids', sample_ids_list)
-        self.run.info('fetch_filter', sample_fetch_filters_list)
-        self.run.info('min_percent_identity', sample_min_pct_identity_of_short_reads_list)
         self.run.info("Common layer additional data keys", ', '.join(self.layer_additional_data_keys))
         self.run.info('total_reads_mapped', total_reads_mapped_list)
         self.run.info('cmd_line', utils.get_cmd_line(), align_long_values=False)
diff --git a/anvio/migrations/contigs/v9_to_v10.py b/anvio/migrations/contigs/v9_to_v10.py
index 246b8c2fb4..10b9c4f2e2 100755
--- a/anvio/migrations/contigs/v9_to_v10.py
+++ b/anvio/migrations/contigs/v9_to_v10.py
@@ -12,6 +12,9 @@
 
 from anvio.errors import ConfigError
 
+utils.check_h5py_module()
+import h5py
+
 current_version = "9"
 next_version = "10"
 
@@ -30,10 +33,6 @@ def convert_numpy_array_to_binary_blob(array, compress=True):
 
 
 def migrate(db_path):
-
-    utils.check_h5py_module()
-    import h5py
-
     if db_path is None:
         raise ConfigError("No database path is given.")
 
diff --git a/anvio/migrations/modules/v1_to_v2.py b/anvio/migrations/modules/v1_to_v2.py
index 63aee97e8b..da16b930d5 100755
--- a/anvio/migrations/modules/v1_to_v2.py
+++ b/anvio/migrations/modules/v1_to_v2.py
@@ -32,9 +32,9 @@ def migrate(db_path):
 
     # split any orthology entries with multiple KOs into separate lines
     where_clause = "data_name = 'ORTHOLOGY' AND (data_value LIKE '%+%' OR data_value LIKE '%-%')"
-    bad_rows = modules_db.get_some_rows_from_table("modules", where_clause)
+    bad_rows = modules_db.get_some_rows_from_table("kegg_modules", where_clause)
 
-    modules_db.remove_some_rows_from_table("modules", where_clause)
+    modules_db.remove_some_rows_from_table("kegg_modules", where_clause)
 
     good_rows = []
     for mod, orth, kos, definition, line in bad_rows:
@@ -47,7 +47,7 @@ def migrate(db_path):
                                   "and the string that it came from is %s." % (ko, kos))
             good_rows.append((mod, orth, ko, definition, line))
 
-    modules_db.insert_many("modules", entries=good_rows)
+    modules_db.insert_many("kegg_modules", entries=good_rows)
 
 
     prev_total_entries = modules_db.get_meta_value('total_entries')
diff --git a/anvio/migrations/modules/v2_to_v3.py b/anvio/migrations/modules/v2_to_v3.py
deleted file mode 100644
index ebb1a9e16f..0000000000
--- a/anvio/migrations/modules/v2_to_v3.py
+++ /dev/null
@@ -1,59 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8
-
-import sys
-import argparse
-import re
-
-import anvio.db as db
-import anvio.utils as utils
-import anvio.terminal as terminal
-
-from anvio.errors import ConfigError
-
-current_version, next_version = [x[1:] for x in __name__.split('_to_')]
-
-run = terminal.Run()
-progress = terminal.Progress()
-
-
-def migrate(db_path):
-    if db_path is None:
-        raise ConfigError("No database path is given.")
-
-    utils.is_kegg_modules_db(db_path)
-
-    # make sure the current version is 2
-    modules_db = db.DB(db_path, None, ignore_version = True)
-    if str(modules_db.get_version()) != current_version:
-        modules_db.disconnect()
-        raise ConfigError("Version of this modules database is not %s (hence, "
-                          "this script cannot really do anything)." % current_version)
-
-    # change name of modules table from 'kegg_modules' to 'modules'
-    modules_db._exec('''ALTER TABLE kegg_modules RENAME TO modules''')
-
-    # add 'annotation_sources' and 'data_source' to self table
-    modules_db.set_meta_value('annotation_sources', 'KOfam')
-    modules_db.set_meta_value('data_source', 'KEGG')
-
-    # update version and exit
-    modules_db.remove_meta_key_value_pair('version')
-    modules_db.set_version(next_version)
-    modules_db.disconnect()
-
-    run.info_single("Okie-dokie. Your modules db is now %s. The modules table was re-named and some self table "
-                    "attributes were added to accommodate user-defined metabolism data."
-                    % (next_version), nl_after=1, nl_before=1, mc='green')
-
-
-if __name__ == '__main__':
-    parser = argparse.ArgumentParser(description='A simple script to upgrade KEGG Modules database from version 2 to version 3')
-    parser.add_argument('modules_db', metavar = 'MODULES_DB', help = 'KEGG Modules database')
-    args, unknown = parser.parse_known_args()
-
-    try:
-        migrate(args.modules_db)
-    except ConfigError as e:
-        print(e)
-        sys.exit(-1)
diff --git a/anvio/migrations/profile/v21_to_v22.py b/anvio/migrations/profile/v21_to_v22.py
index 3370e33ab9..f12093e1f6 100755
--- a/anvio/migrations/profile/v21_to_v22.py
+++ b/anvio/migrations/profile/v21_to_v22.py
@@ -13,6 +13,9 @@
 
 from anvio.errors import ConfigError
 
+utils.check_h5py_module()
+import h5py
+
 current_version = "21"
 next_version = "22"
 
@@ -36,10 +39,6 @@ def convert_numpy_array_to_binary_blob(array, compress=True):
 
 
 def migrate(db_path):
-
-    utils.check_h5py_module()
-    import h5py
-
     if db_path is None:
         raise ConfigError("No database path is given.")
 
diff --git a/anvio/migrations/profile/v37_to_v38.py b/anvio/migrations/profile/v37_to_v38.py
deleted file mode 100755
index 3556b7cd79..0000000000
--- a/anvio/migrations/profile/v37_to_v38.py
+++ /dev/null
@@ -1,98 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8
-
-import sys
-import argparse
-
-import anvio.db as db
-import anvio.utils as utils
-
-import anvio.terminal as terminal
-
-from anvio.errors import ConfigError
-
-current_version, next_version = [x[1:] for x in __name__.split('_to_')]
-
-run = terminal.Run()
-progress = terminal.Progress()
-
-def migrate(db_path):
-    if db_path is None:
-        raise ConfigError("No database path is given.")
-
-    utils.is_profile_db(db_path)
-
-
-    profile_db = db.DB(db_path, None, ignore_version = True)
-
-    is_blank = profile_db.get_meta_value('blank')
-    is_merged = profile_db.get_meta_value('merged')
-
-    progress.new("Durr Durr")
-    progress.update('...')
-
-    msg = ""
-
-    if is_blank:
-        # nothing to be done since we don't have
-        # fetch filters for blank profiles
-        msg = "But this was a blank profile database, so anvi'o did nothing."
-        pass
-    elif is_merged:
-        # we need to update dis.
-        try:
-            profile_db.remove_meta_key_value_pair('fetch_filter')
-        except:
-            pass
-
-        samples = profile_db.get_meta_value('samples').split(',')
-        profile_db.set_meta_value('fetch_filter', ', '.join(['None'] * len(samples)))
-
-        msg = ("This was a merged profile database, so anvi'o assumed none of the single profiles "
-               "had any fetch filters, and marked them as such.")
-
-        # BEWARE OF THIS CHEATING.
-        # yes we are not here for this, but we will squeeze it in anyway. so far we have not been
-        # tracking specific 'min percent identity' paramters set for individual single profiles
-        # to filter short reads that are taken into consideration during profiling. but at this
-        # stage of the codebase, the merger class does store that informaiton in merged profile
-        # self tables, so we are also reprsenting that information in previous versions of
-        # merged profile databases:
-        profile_db.set_meta_value('min_percent_identity', ', '.join(['0.0'] * len(samples)))
-    else:
-        try:
-            profile_db.remove_meta_key_value_pair('fetch_filter')
-        except:
-            pass
-
-        profile_db.set_meta_value('fetch_filter', 'None')
-
-        msg = ("This was a single profile database, so anvi'o marked it with a blank fetch filter (which "
-               "really is the case since fetch filters are just being introduced in anvi'o, and any single "
-               "profile database that was generated in previous versions do not have any fetch filters (unless "
-               "you are Florian -- because if you are, you need to re-profile all your databases you had profiled "
-               "profiled with a fetch filter).")
-
-    profile_db.set_version(next_version)
-
-    #              خدا حافظ
-    profile_db.disconnect()
-
-    progress.end()
-
-    run.info_single(f"The profile database is now {next_version}. We just added a very fancy feature in anvi'o, "
-                    f"'fetch filter', that enables you to define very specific filters regarding what to work with "
-                    f"from BAM files during profiling, and this update is all about that. {msg}",
-                    nl_after=1, nl_before=1, mc='green')
-
-
-if __name__ == '__main__':
-    parser = argparse.ArgumentParser(description='A simple script to upgrade PROFILE.db from version %s to version %s' % (current_version, next_version))
-    parser.add_argument('profile_db', metavar = 'PROFILE_DB', help = 'Profile database at version %s' % current_version)
-    args, unknown = parser.parse_known_args()
-
-    try:
-        migrate(args.profile_db)
-    except ConfigError as e:
-        print(e)
-        sys.exit(-1)
diff --git a/anvio/panops.py b/anvio/panops.py
index 222369e97d..d5cf475897 100644
--- a/anvio/panops.py
+++ b/anvio/panops.py
@@ -79,7 +79,6 @@ def __init__(self, args=None, run=run, progress=progress):
         self.description_file_path = A('description')
         self.skip_hierarchical_clustering = A('skip_hierarchical_clustering')
         self.enforce_hierarchical_clustering = A('enforce_hierarchical_clustering')
-        self.enforce_the_analysis_of_excessive_number_of_genomes = anvio.USER_KNOWS_IT_IS_NOT_A_GOOD_IDEA
 
         if not self.project_name:
             raise ConfigError("Please set a project name using --project-name or -n.")
@@ -671,21 +670,6 @@ def sanity_check(self):
             raise ConfigError("There must be at least two genomes for this workflow to work. You have like '%d' of them :/" \
                     % len(self.genomes))
 
-        if len(self.genomes) > 100:
-            if self.enforce_the_analysis_of_excessive_number_of_genomes:
-                self.run.warning(f"Because you asked for it, anvi'o WILL analyze your {pp(len(self.genomes))} genomes. Perhaps it will "
-                                 f"fail, but it will fail while trying.", header="YOU HAVE USED YOUR AUTHORITY ⚔️")
-            else:
-                raise ConfigError(f"Sorry for making you wait this long to tell you this, but you have a total of {pp(len(self.genomes))} "
-                                  f"genomes to process, and anvi'o may not be the best platform to do that. The anvi'o pangenomics workflow "
-                                  f"is designed for interactive and in-depth investigations of microbial pangenomes. While one can "
-                                  f"certainly perform an in-depth investigation of their {pp(len(self.genomes))} genomes by turning them "
-                                  f"into a pangenome, they will unlikely manage to do it with anvi'o with more than about 100 genomes. "
-                                  f"We can't stop you if you insist running a pangenomic analyses on your genomes ANYWAY. For instance, "
-                                  f"you can easily force anvi'o to start the analysis using the flag `--I-know-this-is-not-a-good-idea`. "
-                                  f"But by using that flag, you will be forfeiting your privilege to complain to anvi'o developers if "
-                                  f"something goes wrong with your analyses :)")
-
         if self.skip_alignments and self.align_with:
             raise ConfigError("You are asking anvi'o to skip aligning sequences within your gene clusters, and then you "
                               "are also asking it to use '%s' for aligning sequences within your gene clusters. It is easy "
diff --git a/anvio/profiler.py b/anvio/profiler.py
index 8bbb4347e8..9aa3fade85 100644
--- a/anvio/profiler.py
+++ b/anvio/profiler.py
@@ -5,7 +5,6 @@
 import gc
 import os
 import sys
-import copy
 import shutil
 import argparse
 import numpy as np
@@ -90,14 +89,10 @@ def sanity_check(self):
         filesnpaths.is_output_file_writable(self.output_file_path, ok_if_exists=False)
 
         # find all the bad BAM files
-        self.progress.new("Sanity checking BAM files")
-        self.progress.update('...')
         bad_bam_files = [f for f in self.bam_file_paths if not filesnpaths.is_file_bam_file(f, dont_raise=True)]
         if len(bad_bam_files):
-            self.progress.reset()
             raise ConfigError(f"Not all of your BAM files look like BAM files. Here is the list that "
                               f"samtools didn't like: {', '.join(bad_bam_files)}")
-        self.progress.end()
 
         if self.gene_level_stats:
             contigs_db = dbops.ContigsDatabase(self.contigs_db_path)
@@ -201,6 +196,7 @@ def report_stats(self):
                 bam = bamops.BAMFileObject(bam_file_path, 'rb')
                 bam_file_name = os.path.splitext(os.path.basename(bam_file_path))[0]
 
+                contigs_stats = {}
                 for j in range(0, num_contigs):
                     contig_name = contig_names[j]
 
@@ -289,7 +285,7 @@ def report_stats(self):
 class BAMProfiler(dbops.ContigsSuperclass):
     """Creates an über class for BAM file operations"""
 
-    def __init__(self, args, r=terminal.Run(width=50), p=terminal.Progress()):
+    def __init__(self, args, r=terminal.Run(width=35), p=terminal.Progress()):
         self.args = args
         self.progress = p
         self.run = r
@@ -313,7 +309,6 @@ def __init__(self, args, r=terminal.Run(width=50), p=terminal.Progress()):
         self.skip_INDEL_profiling = A('skip_INDEL_profiling')
         self.profile_SCVs = A('profile_SCVs')
         self.min_percent_identity = A('min_percent_identity')
-        self.fetch_filter = A('fetch_filter')
         self.gen_serialized_profile = A('gen_serialized_profile')
         self.distance = A('distance') or constants.distance_metric_default
         self.linkage = A('linkage') or constants.linkage_method_default
@@ -326,13 +321,6 @@ def __init__(self, args, r=terminal.Run(width=50), p=terminal.Progress()):
         self.total_reads_kept = 0
         self.description_file_path = A('description')
 
-        # these are the views this class will be filling in:
-        self.essential_data_fields_for_anvio_profiles = copy.deepcopy(constants.essential_data_fields_for_anvio_profiles)
-
-        # but the views should not include the view `variability` if SNVs are not going to be profiled:
-        if 'variability' in self.essential_data_fields_for_anvio_profiles and self.skip_SNV_profiling:
-            self.essential_data_fields_for_anvio_profiles.pop(self.essential_data_fields_for_anvio_profiles.index('variability'))
-
         # make sure early on that both the distance and linkage is OK.
         clustering.is_distance_and_linkage_compatible(self.distance, self.linkage)
 
@@ -371,17 +359,10 @@ def __init__(self, args, r=terminal.Run(width=50), p=terminal.Progress()):
             raise ConfigError("No contigs database, no profilin'. Bye.")
 
         # Initialize contigs db
-        dbops.ContigsSuperclass.__init__(self, self.args, r=null_run, p=self.progress)
+        dbops.ContigsSuperclass.__init__(self, self.args, r=self.run, p=self.progress)
         self.init_contig_sequences(contig_names_of_interest=self.contig_names_of_interest)
         self.contig_names_in_contigs_db = set(self.contigs_basic_info.keys())
 
-        # the line below is kind of out of place, but it is necessary. here is why: we don't want to
-        # see any run messages from ContigsSuper in profiler output. But when we pass a `run=null_run`
-        # to the the class, due to inheritance, it also modifies our own `self.run` with the null one
-        # so here we basically re-engage our `self.run` (funny detail, no one cares, but I do because
-        # I have no friends):
-        self.run = terminal.Run(width=50)
-
         self.bam = None
         self.contigs = []
 
@@ -417,15 +398,8 @@ def init_dirs_and_dbs(self):
             filesnpaths.is_file_plain_text(self.description_file_path)
             self.description = open(os.path.abspath(self.description_file_path), 'rU').read()
 
-        if self.output_directory:
-            self.output_directory = filesnpaths.check_output_directory(self.output_directory, ok_if_exists=self.overwrite_output_destinations)
-        else:
-            output_dir_path = os.path.dirname(os.path.abspath(self.input_file_path))
-
-            if self.sample_id:
-                self.output_directory = filesnpaths.check_output_directory(os.path.join(output_dir_path, self.sample_id), ok_if_exists=self.overwrite_output_destinations)
-            else:
-                raise ConfigError("There is no `self.sample_id`, there is no `self.output_directory` :/ Anvi'o needs an adult :(")
+        self.output_directory = filesnpaths.check_output_directory(self.output_directory or self.input_file_path + '-ANVIO_PROFILE',\
+                                                                   ok_if_exists=self.overwrite_output_destinations)
 
         self.progress.new('Initializing')
 
@@ -454,7 +428,6 @@ def init_dirs_and_dbs(self):
                        'SCVs_profiled': self.profile_SCVs,
                        'INDELs_profiled': not self.skip_INDEL_profiling,
                        'min_percent_identity': self.min_percent_identity or 0,
-                       'fetch_filter': self.fetch_filter,
                        'min_coverage_for_variability': self.min_coverage_for_variability,
                        'report_variability_full': self.report_variability_full,
                        'contigs_db_hash': self.a_meta['contigs_db_hash'],
@@ -471,13 +444,19 @@ def init_dirs_and_dbs(self):
 
         self.progress.end()
 
-        if not self.skip_SNV_profiling:
+        if self.skip_SNV_profiling:
+            self.run.warning('Single-nucleotide variation will not be characterized for this profile.')
+        else:
             self.variable_nts_table = TableForVariability(self.profile_db_path, progress=null_progress)
 
-        if self.profile_SCVs:
+        if not self.profile_SCVs:
+            self.run.warning('Amino acid linkmer frequencies will not be characterized for this profile.')
+        else:
             self.variable_codons_table = TableForCodonFrequencies(self.profile_db_path, progress=null_progress)
 
-        if not self.skip_INDEL_profiling:
+        if self.skip_INDEL_profiling:
+            self.run.warning('Indels (read insertion and deletions) will not be characterized for this profile.')
+        else:
             self.indels_table = TableForIndels(self.profile_db_path, progress=null_progress)
 
 
@@ -489,28 +468,27 @@ def _run(self):
         self.init_dirs_and_dbs()
 
         self.run.log_file_path = self.generate_output_destination('RUNLOG.txt')
-        self.run.info('Sample name set', self.sample_id)
-        self.run.info('Description', 'Found (%d characters)' % len(self.description) if self.description else None)
-        self.run.info('Profile DB path', self.profile_db_path, display_only=True)
-        self.run.info('Contigs DB path', self.contigs_db_path)
-        self.run.info('Contigs DB hash', self.a_meta['contigs_db_hash'])
-        self.run.info('Command line', utils.get_cmd_line(), align_long_values=False, nl_after=1)
-
-        self.run.info('Minimum percent identity of reads to be profiled', self.min_percent_identity, mc='green')
-        self.run.info('Fetch filter engaged', self.fetch_filter, mc='green', nl_after=1)
-
-        self.run.info('Is merged profile?', False)
-        self.run.info('Is blank profile?', self.blank)
-        self.run.info('Skip contigs shorter than', self.min_contig_length)
-        self.run.info('Skip contigs longer than', self.max_contig_length)
-        self.run.info('Skip contigs covered less than', self.min_mean_coverage)
-        self.run.info('Perform hierarchical clustering of contigs?', self.contigs_shall_be_clustered, nl_after=1)
-
-        self.run.info('Profile single-nucleotide variants (SNVs)?', not self.skip_SNV_profiling)
-        self.run.info('Profile single-codon variants (SCVs/+SAAVs)?', self.profile_SCVs)
-        self.run.info('Profile insertion/deletions (INDELs)?', not self.skip_INDEL_profiling)
-        self.run.info('Minimum coverage to calculate SNVs', self.min_coverage_for_variability)
-        self.run.info('Report FULL variability data?', self.report_variability_full)
+        self.run.info('anvio', anvio.__version__)
+        self.run.info('profiler_version', anvio.__profile__version__)
+        self.run.info('sample_id', self.sample_id)
+        self.run.info('description', 'Found (%d characters)' % len(self.description) if self.description else None)
+        self.run.info('profile_db', self.profile_db_path, display_only=True)
+        self.run.info('contigs_db', True if self.contigs_db_path else False)
+        self.run.info('contigs_db_hash', self.a_meta['contigs_db_hash'])
+        self.run.info('cmd_line', utils.get_cmd_line(), align_long_values=False)
+        self.run.info('merged', False)
+        self.run.info('blank', self.blank)
+        self.run.info('split_length', self.a_meta['split_length'])
+        self.run.info('min_contig_length', self.min_contig_length)
+        self.run.info('max_contig_length', self.max_contig_length)
+        self.run.info('min_mean_coverage', self.min_mean_coverage)
+        self.run.info('clustering_performed', self.contigs_shall_be_clustered)
+        self.run.info('min_coverage_for_variability', self.min_coverage_for_variability)
+        self.run.info('skip_SNV_profiling', self.skip_SNV_profiling)
+        self.run.info('skip_INDEL_profiling', self.skip_INDEL_profiling)
+        self.run.info('profile_SCVs', self.profile_SCVs)
+        self.run.info('min_percent_identity', self.min_percent_identity)
+        self.run.info('report_variability_full', self.report_variability_full)
 
         self.run.warning("Your minimum contig length is set to %s base pairs. So anvi'o will not take into "
                          "consideration anything below that. If you need to kill this an restart your "
@@ -527,7 +505,7 @@ def _run(self):
             self.init_mock_profile()
 
             # creating a null view_data_splits dict:
-            for view in self.essential_data_fields_for_anvio_profiles:
+            for view in constants.essential_data_fields_for_anvio_profiles:
                 for table_name in [f"{view}_{target}" for target in ['splits', 'contigs']]:
                     TablesForViews(self.profile_db_path).remove(view, table_names_to_blank=[table_name])
                     TablesForViews(self.profile_db_path,
@@ -547,13 +525,8 @@ def _run(self):
 
         # update layer additional data table content
         if self.layer_additional_data:
-            self.progress.new("Additional layer data")
-            self.progress.update("Updating the profile db ...")
-            layer_additional_data_table = TableForLayerAdditionalData(argparse.Namespace(profile_db=self.profile_db_path), r=null_run, p=null_progress)
+            layer_additional_data_table = TableForLayerAdditionalData(argparse.Namespace(profile_db=self.profile_db_path), r=self.run, p=self.progress)
             layer_additional_data_table.add({self.sample_id: self.layer_additional_data}, self.layer_additional_keys)
-            self.progress.end()
-
-            self.run.info("Additional data added to the new profile DB", f"{', '.join(self.layer_additional_keys)}", nl_before=1)
 
         if self.contigs_shall_be_clustered:
             self.cluster_contigs()
@@ -633,15 +606,11 @@ def set_sample_id(self):
         else:
             if self.input_file_path:
                 self.input_file_path = os.path.abspath(self.input_file_path)
-                self.sample_id = os.path.splitext(os.path.basename(self.input_file_path))[0]
-                self.sample_id = self.sample_id.replace('-', '_').replace('.', '_').replace(' ', '_')
-
+                self.sample_id = os.path.basename(self.input_file_path).upper().split('.BAM')[0]
+                self.sample_id = self.sample_id.replace('-', '_')
+                self.sample_id = self.sample_id.replace('.', '_')
                 if self.sample_id[0] in constants.digits:
                     self.sample_id = 's' + self.sample_id
-
-                if self.fetch_filter:
-                    self.sample_id = f"{self.sample_id}_{self.fetch_filter.upper()}"
-
                 utils.check_sample_id(self.sample_id)
             if self.serialized_profile_path:
                 self.serialized_profile_path = os.path.abspath(self.serialized_profile_path)
@@ -675,7 +644,6 @@ def list_contigs(self):
         self.progress.new('Init')
         self.progress.update('Reading BAM File')
         self.bam = bamops.BAMFileObject(self.input_file_path, 'rb')
-        self.bam.fetch_filter = self.fetch_filter
         self.progress.end()
 
         self.contig_names = self.bam.references
@@ -737,14 +705,7 @@ def init_profile_from_BAM(self):
 
         self.progress.new('Init')
         self.progress.update('Reading BAM File')
-
-        try:
-            self.bam = bamops.BAMFileObject(self.input_file_path)
-        except Exception as e:
-            raise ConfigError(f"Sorry, this BAM file does not look like a BAM file :( Here is "
-                              f"the complaint coming from the depths of the codebase: '{e}'.")
-
-        self.bam.fetch_filter = self.fetch_filter
+        self.bam = bamops.BAMFileObject(self.input_file_path)
         self.num_reads_mapped = self.bam.mapped
         self.progress.end()
 
@@ -766,17 +727,16 @@ def init_profile_from_BAM(self):
 
         utils.check_contig_names(self.contig_names)
 
-        self.run.info('Input BAM', self.input_file_path)
-        self.run.info('Output directory path', self.output_directory, display_only=True, nl_after=1)
-
-        self.run.info('Number of reads in the BAM file', pp(int(self.num_reads_mapped)))
-        self.run.info('Number of sequences in the contigs DB', pp(len(self.contig_names)))
+        self.run.info('input_bam', self.input_file_path)
+        self.run.info('output_dir', self.output_directory, display_only=True)
+        self.run.info('num_reads_in_bam', pp(int(self.num_reads_mapped)))
+        self.run.info('num_contigs', pp(len(self.contig_names)))
 
         if self.contig_names_of_interest:
             indexes = [self.contig_names.index(r) for r in self.contig_names_of_interest if r in self.contig_names]
             self.contig_names = [self.contig_names[i] for i in indexes]
             self.contig_lengths = [self.contig_lengths[i] for i in indexes]
-            self.run.info('Number of contigs selected for analysis', pp(len(self.contig_names)), mc='green')
+            self.run.info('num_contigs_selected_for_analysis', pp(len(self.contig_names)))
 
         # it brings good karma to let the user know what the hell is wrong with their data:
         self.check_contigs_without_any_gene_calls(self.contig_names)
@@ -796,9 +756,10 @@ def init_profile_from_BAM(self):
                                    "prior to mapping, which is described here: %s"\
                                         % (contig_name, self.contig_names_in_contigs_db.pop(), 'http://goo.gl/Q9ChpS'))
 
-        self.run.info('Number of contigs to be conisdered (after -M)', self.num_contigs, display_only=True)
-        self.run.info('Number of splits', self.num_splits)
-        self.run.info('Number of nucleotides', self.total_length)
+        self.run.info('num_contigs_after_M', self.num_contigs, display_only=True)
+        self.run.info('num_contigs', self.num_contigs, quiet=True)
+        self.run.info('num_splits', self.num_splits)
+        self.run.info('total_length', self.total_length)
 
         profile_db = dbops.ProfileDatabase(self.profile_db_path, quiet=True)
         profile_db.db.set_meta_value('num_splits', self.num_splits)
@@ -903,7 +864,6 @@ def populate_gene_info_for_splits(self, contig):
     @staticmethod
     def profile_contig_worker(self, available_index_queue, output_queue):
         bam_file = bamops.BAMFileObject(self.input_file_path)
-        bam_file.fetch_filter = self.fetch_filter
 
         while True:
             try:
@@ -1007,7 +967,6 @@ def profile_single_thread(self):
         """The main method for anvi-profile when num_threads is 1"""
 
         bam_file = bamops.BAMFileObject(self.input_file_path)
-        bam_file.fetch_filter = self.fetch_filter
 
         received_contigs = 0
         discarded_contigs = 0
@@ -1067,7 +1026,7 @@ def profile_single_thread(self):
 
         # FIXME: this needs to be checked:
         if discarded_contigs > 0:
-            self.run.info('Num contigs after coverage removal (-C)', pp(received_contigs - discarded_contigs))
+            self.run.info('contigs_after_C', pp(received_contigs - discarded_contigs))
 
         overall_mean_coverage = 1
         if self.total_length_of_all_contigs != 0:
@@ -1098,28 +1057,12 @@ def profile_single_thread(self):
             # Num reads in profile do not equal num reads in bam
             diff = self.num_reads_mapped - self.total_reads_kept
             perc = (1 - self.total_reads_kept / self.num_reads_mapped) * 100
-
-            if self.contig_names_of_interest:
-                self.run.warning(f"There were {pp(diff)} reads present in the BAM file that did not end up being used "
-                                 f"by the profiler, which corresponds to about {perc}% of all reads. This is "
-                                 f"most likely due to the parameter `--contigs-of-interest`. Regardless, anvi'o "
-                                 f"thought you should know about this.")
-            elif self.fetch_filter:
-                self.run.warning(f"There were {pp(diff)} reads present in the BAM file that did not end up being used "
-                                 f"by the profiler, which corresponds to about {perc}% of all reads. This is "
-                                 f"most likely due to your `--fetch-filter`, which, depending on the filter, can "
-                                 f"make use of a very tiny fraction of all reads. If you think this is much more or "
-                                 f"much less than what you would have expected, you may want to investigate it.")
-            else:
-                self.run.warning(f"There were {pp(diff)} reads present in the BAM file that did not end up being used "
-                                 f"by the profiler, which corresponds to about {perc}% of all reads. Since you "
-                                 f"don't seem to have used parameters such as `--contigs-of-interest` or `--fetch-filter` "
-                                 f"anvi'o is Jon Snow here. There are other reasons why some of your reads may end up "
-                                 f"not being considered by the profiler. For instance, if pysam encounteres reads that "
-                                 f"it can't deal with (i.e., mapped reads in the BAM file with no defined sequences, or "
-                                 f"read with defined sequences without mapping). Another reason can be that you have used "
-                                 f"a new paramter in the profiler that removes contigs or reads from consideration. "
-                                 f"Regardless, if you think this is worth your attention, now you know.")
+            self.run.warning("There were %d reads present in the BAM file that did not end up being used "
+                             "by anvi'o. That corresponds to about %.2f percent of all reads in the bam file. "
+                             "This could be either because you supplied --contigs-of-interest, "
+                             "or because pysam encountered reads it could not deal with, e.g. they mapped "
+                             "but had no defined sequence, or they had a sequence but did not map. "
+                             "Regardless, anvi'o thought you should be aware of this." % (diff, perc))
 
         self.layer_additional_data['total_reads_kept'] = self.total_reads_kept
         self.layer_additional_keys.append('total_reads_kept')
@@ -1285,7 +1228,7 @@ def store_contigs_buffer(self):
         self.store_split_coverages()
 
         # the crux of the profiling
-        for atomic_data_field in self.essential_data_fields_for_anvio_profiles:
+        for atomic_data_field in constants.essential_data_fields_for_anvio_profiles:
             view_data_splits, view_data_contigs = contigops.get_atomic_data(self.sample_id, self.contigs, atomic_data_field)
 
             table_name = '_'.join([atomic_data_field, 'splits'])
diff --git a/anvio/programs.py b/anvio/programs.py
index 6691318b98..41a13fb96d 100644
--- a/anvio/programs.py
+++ b/anvio/programs.py
@@ -88,12 +88,7 @@ def get_param_set(output):
         desc = ''
         _params = J([p for p in get_until_blank(output) if not p.startswith('  -h, --help')])
     else:
-        output.pop(0)
         section = output.pop(0)
-
-        if section.startswith('━'):
-            return None, None, None
-
         if output[0].startswith('  -'):
             # no description, goes into params immediately (someone did a crappy job)
             desc = ''
@@ -126,28 +121,29 @@ def parse_help_output(output):
     if not output[0].startswith('usage:'):
         raise ConfigError("This output does not seem to have the proper usage statement.")
 
-    usage = J([l for l in get_until_blank(output)])
+    usage = J([l[7:] for l in get_until_blank(output)])
 
     if output.pop(0) != '':
         raise ConfigError("This output is missing the description start marker.")
 
+    description = J(get_until_blank(output))
+
     params = {}
     while 1:
+        if output.pop(0) != '':
+            raise ConfigError("The params section does not seem to be where this script expects to find it.")
+
         if not len(output):
             break
 
         section, desc, _params = get_param_set(output)
-
-        if section == None:
-            break
-
         if _params == '':
             pass
         else:
             params[section] = {'description': J(desc),
                                'params': _params}
 
-    return usage,  params, output
+    return usage, description, params, output
 
 
 class AnvioPrograms(AnvioAuthors):
@@ -236,8 +232,10 @@ def init_programs(self, okay_if_no_meta=False, quiet=False):
 
         # here we will go through each program, and see if there are any with no author information
         programs_with_no_authors = [p for p in self.programs if not len(self.programs[p].meta_info['authors']['value'])]
-        if len(programs_with_no_authors) and anvio.DEBUG:
-            self.run.warning(f"The following programs have no `__authors__` tag: {', '.join(programs_with_no_authors)}.")
+        if len(programs_with_no_authors):
+            raise ConfigError(f"The following programs have no author names listed under `__authors__` tag -- every "
+                              f"program in the anvi'o codebase with `__provides__` and/or `__requires__` statements "
+                              f"must also have one or more authors: {', '.join(programs_with_no_authors)}.")
 
         # here we will go through each program, and see if there are any with authors that
         # are not described in the AUTHORS.yaml file:
@@ -258,28 +256,26 @@ def init_programs(self, okay_if_no_meta=False, quiet=False):
                               f"an entry in the authors YAML file: {', '.join(programs_with_unknown_authors)}.")
 
         # report missing provides/requires information
-        if anvio.DEBUG:
-            self.run.info_single("Of %d programs found, %d did not contain PROVIDES AND/OR REQUIRES "
-                                 "statements :/ This may be normal for some programs, but here is the "
-                                 "complete list of those that are missing __provides__ and __requires__ "
-                                 "tags in their code in case you see something you can complete: '%s'." % \
-                                            (len(self.all_program_filepaths),
-                                             len(programs_without_provides_requires_info),
-                                             ', '.join(programs_without_provides_requires_info)),
-                                 nl_after=1, nl_before=1)
+        self.run.info_single("Of %d programs found, %d did not contain PROVIDES AND/OR REQUIRES "
+                             "statements :/ This may be normal for some programs, but here is the "
+                             "complete list of those that are missing __provides__ and __requires__ "
+                             "tags in their code in case you see something you can complete: '%s'." % \
+                                        (len(self.all_program_filepaths),
+                                         len(programs_without_provides_requires_info),
+                                         ', '.join(programs_without_provides_requires_info)),
+                             nl_after=1, nl_before=1)
 
         # report missing provides/requires information
-        if anvio.DEBUG:
-            self.run.info_single("Of %d programs found, %d did not have any PROVIDES/REQUIRES statements. You can "
-                                 "help by adding usage information for programs by creating markdown "
-                                 "formatted files under the directory '%s'. Please see examples in anvi'o "
-                                 "codebase: https://github.com/merenlab/anvio/tree/master/anvio/docs. "
-                                 "Here is a complete list of programs that are missing usage statements: %s " % \
-                                            (len(self.all_program_filepaths),
-                                             len(programs_without_provides_requires_info),
-                                             anvio.DOCS_PATH,
-                                             ', '.join(programs_without_provides_requires_info)),
-                                 nl_after=1, nl_before=1)
+        self.run.info_single("Of %d programs found, %d did not have any PROVIDES/REQUIRES statements. You can "
+                             "help by adding usage information for programs by creating markdown "
+                             "formatted files under the directory '%s'. Please see examples in anvi'o "
+                             "codebase: https://github.com/merenlab/anvio/tree/master/anvio/docs. "
+                             "Here is a complete list of programs that are missing usage statements: %s " % \
+                                        (len(self.all_program_filepaths),
+                                         len(programs_without_provides_requires_info),
+                                         anvio.DOCS_PATH,
+                                         ', '.join(programs_without_provides_requires_info)),
+                             nl_after=1, nl_before=1)
 
 
 class Program:
@@ -382,7 +378,6 @@ class Artifact:
 
     def __init__(self, artifact_id, provided_by_anvio=True, optional=True, single=True):
         if artifact_id not in ANVIO_ARTIFACTS:
-            progress.reset()
             raise ConfigError("Ehem. Anvi'o does not know about artifact '%s'. There are two was this could happen: "
                               "one, you've made a typo (easy to fix), two, you've just updated __provides__ or __requires__ "
                               "statement in an anvi'o program with an artifact that does not exist and have not yet updated "
@@ -501,7 +496,7 @@ def __init__(self, args, r=terminal.Run(), p=terminal.Progress()):
         self.programs_output_dir = filesnpaths.gen_output_directory(os.path.join(self.output_directory_path, 'programs'))
 
         self.version_short_identifier = 'm' if anvio.anvio_version_for_help_docs == 'main' else anvio.anvio_version_for_help_docs
-        self.base_url = os.path.join("/help", anvio.anvio_version_for_help_docs)
+        self.base_url = os.path.join("/software/anvio/help", anvio.anvio_version_for_help_docs)
         self.anvio_markdown_variables_conversion_dict = {}
 
         AnvioPrograms.__init__(self, args, r=self.run, p=self.progress)
@@ -561,7 +556,7 @@ def copy_images(self):
 
     def init_anvio_markdown_variables_conversion_dict(self):
         for program_name in self.all_program_names:
-            self.anvio_markdown_variables_conversion_dict[program_name] = """<span class="artifact-p">[%s](%s/programs/%s)</span>""" % (program_name, self.base_url, program_name)
+            self.anvio_markdown_variables_conversion_dict[program_name] = """<span class="artifact-n">[%s](%s/programs/%s)</span>""" % (program_name, self.base_url, program_name)
 
         for artifact_name in ANVIO_ARTIFACTS:
             self.anvio_markdown_variables_conversion_dict[artifact_name] = """<span class="artifact-n">[%s](%s/artifacts/%s)</span>""" % (artifact_name, self.base_url, artifact_name)
@@ -679,11 +674,11 @@ def get_HTML_formatted_authors_data(self, program):
         d = ""
 
         for author in program.meta_info['authors']['value']:
-            d += '''<div class="anvio-person"><div class="anvio-person-info">'''
-            d += f'''<div class="anvio-person-photo"><img class="anvio-person-photo-img" src="../../images/authors/{os.path.basename(self.authors[author]['avatar'])}" /></div>'''
-            d += '''<div class="anvio-person-info-box">'''
-            d += f'''<a href="/people/{self.authors[author]['github']}" target="_blank"><span class="anvio-person-name">{self.authors[author]['name']}</span></a>'''
-            d += '''<div class="anvio-person-social-box">'''
+            d += '''<div class="page-author"><div class="page-author-info">'''
+            d += f'''<div class="page-person-photo"><img class="page-person-photo-img" src="../../images/authors/{os.path.basename(self.authors[author]['avatar'])}" /></div>'''
+            d += '''<div class="page-person-info-box">'''
+            d += f'''<span class="page-author-name">{self.authors[author]['name']}</span>'''
+            d += '''<div class="page-author-social-box">'''
 
             if 'web' in self.authors[author]:
                 d += f'''<a href="{self.authors[author]['web']}" class="person-social" target="_blank"><i class="fa fa-fw fa-home"></i>Web</a>'''
@@ -706,8 +701,15 @@ def get_HTML_formatted_authors_data_mini(self, program):
         d = ""
 
         for author in program.meta_info['authors']['value']:
-            d += '''<div class="anvio-person-mini"><div class="anvio-person-photo-mini">'''
-            d += f'''<a href="/people/{self.authors[author]['github']}" target="_blank"><img class="anvio-person-photo-img-mini" title="{self.authors[author]['name']}" src="images/authors/{os.path.basename(self.authors[author]['avatar'])}" /></a>'''
+            if 'twitter' in self.authors[author]:
+                author_link = f"http://twitter.com/{self.authors[author]['twitter']}"
+            elif 'linkedin' in self.authors[author]:
+                author_link = f"http://linkedin.com/in/{self.authors[author]['linkedin']}"
+            else:
+                author_link = f"http://github.com/{self.authors[author]['github']}"
+
+            d += '''<div class="page-author-mini"><div class="page-person-photo-mini">'''
+            d += f'''<a href="{author_link}" target="_blank"><img class="page-person-photo-img-mini" title="{self.authors[author]['name']}" src="images/authors/{os.path.basename(self.authors[author]['avatar'])}" /></a>'''
             d += '''</div></div>\n'''
 
         return d
@@ -913,10 +915,10 @@ def generate(self):
             output = utils.run_command_STDIN('%s --help --quiet' % (program.program_path), log_file, '').split('\n')
 
             if anvio.DEBUG:
-                    usage, params, output = parse_help_output(output)
+                    usage, description, params, output = parse_help_output(output)
             else:
                 try:
-                    usage, params, output = parse_help_output(output)
+                    usage, description, params, output = parse_help_output(output)
                 except Exception as e:
                     progress.end()
                     run.warning("The program '%s' does not seem to have the expected help menu output. Skipping to the next. "
@@ -924,7 +926,7 @@ def generate(self):
                     continue
 
             d[program.name] = {'usage': usage,
-                               'description': program.meta_info['description']['value'],
+                               'description': description,
                                'params': params,
                                'tags': program.meta_info['tags']['value'],
                                'resources': program.meta_info['resources']['value']}
diff --git a/anvio/sequence.py b/anvio/sequence.py
index fcde12acb9..2687cfda2f 100644
--- a/anvio/sequence.py
+++ b/anvio/sequence.py
@@ -33,7 +33,6 @@
 
 pp = terminal.pretty_print
 
-
 class Codon:
     def __init__(self):
         pass
diff --git a/anvio/sequencefeatures.py b/anvio/sequencefeatures.py
deleted file mode 100644
index 8df37e6229..0000000000
--- a/anvio/sequencefeatures.py
+++ /dev/null
@@ -1,536 +0,0 @@
-# -*- coding: utf-8
-# pylint: disable=line-too-long
-
-"""Classes to deal with sequence features"""
-
-import os
-import argparse
-import xml.etree.ElementTree as ET
-
-import anvio
-import anvio.utils as utils
-import anvio.dbops as dbops
-import anvio.terminal as terminal
-import anvio.filesnpaths as filesnpaths
-
-from anvio.errors import ConfigError
-from anvio.drivers.blast import BLAST
-
-
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
-__credits__ = []
-__license__ = "GPL 3.0"
-__version__ = anvio.__version__
-__maintainer__ = "A. Murat Eren"
-__email__ = "a.murat.eren@gmail.com"
-
-
-P = terminal.pluralize
-pp = terminal.pretty_print
-run_quiet = terminal.Run(verbose=False)
-progress_quiet = terminal.Progress(verbose=False)
-
-
-class Palindrome:
-    def __init__(self, run=terminal.Run()):
-        self.run=run
-
-        self.sequence_name = None
-        self.first_start = None
-        self.first_end = None
-        self.first_sequence = None
-        self.second_start = None
-        self.second_end = None
-        self.second_sequence = None
-        self.num_mismatches = None
-        self.length = None
-        self.distance = None
-        self.midline = ''
-
-
-    def __str__(self):
-        return f"Len: {self.length}; Dist: {self.distance}; {self.first_sequence} ({self.first_start}:{self.first_end}) :: {self.second_sequence} ({self.second_start}:{self.second_end})"
-
-
-    def display(self):
-
-        # we don't care what `verbose` variable the original instance may have. if
-        # the user requests to `display` things, we will display it, and then store
-        # the original state again.
-        verbose = self.run.verbose
-        self.run.verbose = True
-
-        self.run.warning(None, header=f'{self.length} nts palindrome', lc='yellow')
-        self.run.info('1st sequence [start:stop]', f"[{self.first_start}:{self.first_end}]", mc='green')
-        self.run.info('2nd sequence [start:stop]', f"[{self.second_start}:{self.second_end}]", mc='green')
-        self.run.info('Number of mismatches', f"{self.num_mismatches}", mc='red')
-        self.run.info('Distance between', f"{self.distance}", mc='yellow')
-        self.run.info('1st sequence', self.first_sequence, mc='green')
-        self.run.info('ALN', self.midline, mc='green')
-        self.run.info('2nd sequence', self.second_sequence, mc='green')
-
-        # store the original verbose state
-        self.run.verbose = verbose
-
-
-class Palindromes:
-    def __init__(self, args=argparse.Namespace(), run=terminal.Run(), progress=terminal.Progress()):
-        self.args = args
-        self.run = run
-        self.progress = progress
-
-        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
-        self.min_palindrome_length = A('min_palindrome_length') or 10
-        self.max_num_mismatches = A('max_num_mismatches') or 0
-        self.min_distance = A('min_distance') or 0
-        self.verbose = A('verbose') or False
-        self.contigs_db_path = A('contigs_db')
-        self.fasta_file_path = A('fasta_file')
-        self.output_file_path = A('output_file')
-
-        self.num_threads = int(A('num_threads')) if A('num_threads') else 1
-        self.blast_word_size = A('blast_word_size') or 10
-
-        self.translate = {'A': 'T', 'T': 'A', 'C': 'G', 'G': 'C'}
-
-        self.sanity_check()
-
-        self.run.warning(None, header="SEARCH SETTINGS", lc="green")
-        self.run.info('Minimum palindrome length', self.min_palindrome_length)
-        self.run.info('Number of mismatches allowed', self.max_num_mismatches)
-        self.run.info('Minimum gap length', self.min_distance)
-        self.run.info('Be verbose?', 'No' if not self.verbose else 'Yes', nl_after=1)
-        self.run.info('Number of threads for BLAST', self.num_threads)
-        self.run.info('BLAST word size', self.blast_word_size, nl_after=1)
-
-        self.user_is_warned_for_potential_performance_issues = False
-
-        self.palindromes = {}
-
-
-    def sanity_check(self):
-        if self.contigs_db_path and self.fasta_file_path:
-            raise ConfigError("You should either choose a FASTA file or a contigs db to send to this "
-                              "class, not both :/")
-
-        if self.output_file_path:
-            filesnpaths.is_output_file_writable(self.output_file_path, ok_if_exists=False)
-        else:
-            self.verbose = True
-
-        if self.contigs_db_path:
-            utils.is_contigs_db(self.contigs_db_path)
-
-        if self.fasta_file_path:
-            filesnpaths.is_file_fasta_formatted(self.fasta_file_path)
-
-        try:
-            self.min_palindrome_length = int(self.min_palindrome_length)
-        except:
-            raise ConfigError("Minimum palindrome length must be an integer.")
-
-        try:
-            self.max_num_mismatches = int(self.max_num_mismatches)
-        except:
-            raise ConfigError("Maximum number of mismatches must be an integer.")
-
-        if self.blast_word_size < 4:
-            raise ConfigError("For everyone's sake, we set the minimum value for the minimum word size for BLAST to "
-                              "5. If you need this to change, please let us know (or run the same command with `--debug` "
-                              "flag, find the location of this control, and hack anvi'o by replacing that 4 with something "
-                              "smaller -- anvi'o doesn't mind being hacked).")
-
-        if self.min_palindrome_length < 5:
-            raise ConfigError("For everyone's sake, we set the minimum value for the minimum palindrome length to "
-                              "4. You have a problem with that? WELL, WELCOME TO THE CLUB, YOU'LL FIT RIGHT IN -- "
-                              "WE HAVE A PROBLEM WITH LOGIC TOO.")
-
-
-    def process(self):
-        """Processes all sequences in a given contigs database or a FASTA file.
-
-        What this function does depends on the configuration of the class. Member functions `find_gapless`
-        or `find_with_gaps` may be more appropriate to call if there is a single sequence to process.
-        """
-
-        if self.contigs_db_path:
-            contigs_db = dbops.ContigsDatabase(self.contigs_db_path)
-            contig_sequences_dict = contigs_db.db.get_table_as_dict(anvio.tables.contig_sequences_table_name)
-
-            self.progress.new('Searching', progress_total_items=len(contig_sequences_dict))
-            for sequence_name in contig_sequences_dict:
-                self.progress.update(f"{sequence_name} ({pp(len(contig_sequences_dict[sequence_name]['sequence']))} nts)", increment=True)
-                self.find(contig_sequences_dict[sequence_name]['sequence'], sequence_name=sequence_name)
-            self.progress.end()
-
-        elif self.fasta_file_path:
-            num_sequences = utils.get_num_sequences_in_fasta(self.fasta_file_path)
-            fasta = anvio.fastalib.SequenceSource(self.fasta_file_path)
-            self.progress.new('Searching', progress_total_items=num_sequences)
-
-            while next(fasta):
-                self.progress.update(f"{fasta.id} ({pp(len(fasta.seq))} nts)", increment=True)
-                self.find(fasta.seq, sequence_name=fasta.id)
-            self.progress.end()
-
-        else:
-            raise ConfigError("You called the `process` function of the class `Palindromes` without a FASTA "
-                              "file or contigs database to process :(")
-
-        self.report()
-
-
-    def find(self, sequence, sequence_name="(a sequence does not have a name)", display_palindromes=False):
-        """Find palindromes in a single sequence, and populate `self.palindromes`
-
-        The member function `process` may be a better one to call with an `args` object. See `anvi-search-palindromes`
-        for example usage.
-        """
-
-        if sequence_name in self.palindromes:
-            raise ConfigError(f"The sequence '{sequence_name}' is already in `self.palindromes`.")
-        else:
-            self.palindromes[sequence_name] = []
-
-        sequence = sequence.upper()
-        sequence_length = len(sequence)
-
-        if sequence_length < self.min_palindrome_length * 2 + self.min_distance:
-            self.progress.reset()
-            self.run.warning(f"The sequence '{sequence_name}', which is only {sequence_length} nts long, is too short "
-                             f"to find palindromes that are at least {self.min_palindrome_length} nts, with "
-                             f"{self.min_distance} nucleoties in between :/ Anvi'o will skip it.")
-
-        # setup BLAST job
-        BLAST_search_tmp_dir = filesnpaths.get_temp_directory_path()
-        fasta_file_path = os.path.join(BLAST_search_tmp_dir, 'sequence.fa')
-        log_file_path = os.path.join(BLAST_search_tmp_dir, 'blast-log.txt')
-        results_file_path = os.path.join(BLAST_search_tmp_dir, 'hits.xml')
-        with open(fasta_file_path, 'w') as fasta_file:
-            fasta_file.write(f'>sequence\n{sequence}\n')
-
-        # run blast
-        blast = BLAST(fasta_file_path, search_program='blastn', run=run_quiet, progress=progress_quiet)
-        blast.evalue = 10
-        blast.num_threads = self.num_threads
-        blast.min_pct_id = 100 - self.max_num_mismatches
-        blast.search_output_path = results_file_path
-        blast.log_file_path = log_file_path
-        blast.makedb(dbtype='nucl')
-
-        if self.min_palindrome_length < 20 and len(sequence) > 10000 and not self.user_is_warned_for_potential_performance_issues:
-            self.progress.reset()
-            self.run.warning(f"Please note, you are searching for palindromes that are as short as {self.min_palindrome_length} "
-                             f"in a sequence that is {pp(len(sequence))} nts long. If your palindrome search takes a VERY long time "
-                             f"you may want to go for longer palindromes by setting a different `--min-palindrome-length` parameter "
-                             f"and by increasing the BLAST word size using `--blast-word-size` parameter (please read the help menu first). "
-                             f"This part of the code does not know if you have many more seqeunces to search, but anvi'o will not "
-                             f"continue displaying this warning for additional seqeunces to minimize redundant informatio in your "
-                             f"log files (because despite the popular belief anvi'o can actually sometimes be like nice and all).",
-                             header="ONE-TIME PERFORMANCE WARNING")
-            self.user_is_warned_for_potential_performance_issues = True
-
-        blast.blast(outputfmt='5', word_size=self.blast_word_size, strand='minus')
-
-        # parse the BLAST XML output
-        root = ET.parse(blast.search_output_path).getroot()
-        for query_sequence_xml in root.findall('BlastOutput_iterations/Iteration'):
-            for hit_xml in query_sequence_xml.findall('Iteration_hits/Hit'):
-
-                for hsp_xml in hit_xml.findall('Hit_hsps/Hsp'):
-                    p = Palindrome(run=self.run)
-
-                    p.sequence_name = sequence_name
-                    p.first_start = int(hsp_xml.find('Hsp_query-from').text) - 1
-                    p.first_end = int(hsp_xml.find('Hsp_query-to').text)
-                    p.first_sequence = hsp_xml.find('Hsp_qseq').text
-                    p.second_start = int(hsp_xml.find('Hsp_hit-to').text) - 1
-                    p.second_end = int(hsp_xml.find('Hsp_hit-from').text)
-                    p.second_sequence = hsp_xml.find('Hsp_hseq').text
-                    p.distance = p.second_start - p.first_start
-
-                    # for each hit, there will be a copy of its reverse complement.
-                    # the first half of the if statement below is to control for that
-                    # and make sure we keep only one of them. the other half is to
-                    # remove those that do not meet the minimum distance criterion.
-                    if p.distance < 0 or p.distance < self.min_distance:
-                        continue
-
-                    # before we continue, we will test for a special case: internal palindromes
-                    # within larger palindromes of 0 distance. IT DOES HAPPEN I PROM.
-                    if p.distance == 0:
-                        internal_palindrome = False
-                        for _p in self.palindromes[sequence_name]:
-                            if p.first_start > _p.first_start and p.first_start < _p.first_end:
-                                internal_palindrome = True
-                                break
-
-                        if internal_palindrome:
-                            continue
-
-                    p.length = int(hsp_xml.find('Hsp_align-len').text)
-
-                    if p.length < self.min_palindrome_length:
-                        # buckle your seat belt Dorothy, 'cause Kansas is going bye-bye:
-                        continue
-
-                    p.num_gaps = int(hsp_xml.find('Hsp_gaps').text)
-                    p.num_mismatches = int(hsp_xml.find('Hsp_align-len').text) - int(hsp_xml.find('Hsp_identity').text)
-                    p.midline = ''.join(['|' if p.first_sequence[i] == p.second_sequence[i] else 'x' for i in range(0, len(p.first_sequence))])
-
-                    if p.num_mismatches > self.max_num_mismatches or p.num_gaps > 0:
-                        # this is the crazy part: read the function docstring for `get_split_palindromes`.
-                        # briefly, we conclude that there are too many mismatches in this match, we will
-                        # try and see if there is anything we can salvage from it.
-                        p_list = self.get_split_palindromes(p, display_palindromes=display_palindromes)
-                    else:
-                        # there aren't too many mismatches, and the length checks out. we will continue
-                        # processing this hit as a sole palindrome
-                        p_list = [p]
-
-                    for sp in p_list:
-                        if anvio.DEBUG or display_palindromes or self.verbose:
-                            self.progress.reset()
-                            sp.display()
-
-                        self.palindromes[sequence_name].append(sp)
-
-        # clean after yourself
-        if anvio.DEBUG:
-            self.run.info("BLAST temporary dir kept", BLAST_search_tmp_dir, nl_before=1, mc='red')
-        else:
-            filesnpaths.shutil.rmtree(BLAST_search_tmp_dir)
-
-
-    def resolve_mismatch_map(self, s, min_palindrome_length=15, max_num_mismatches=3):
-        """Takes a mismatch map, returns longest palindrome start/ends that satisfy all constraints
-
-        If you would like to test this function, a palindrome mismatch map looks
-        like this:
-
-            >>> s = 'ooxooooooooooooooooxoooxoxxoxxoxoooooooooxoxxoxooooooooo--ooo-o-xoxoooxoooooooooooooooooo'
-
-        The rest of the code will document itself using the mismatch map `s` as an example :)
-        """
-
-        if len(s) < min_palindrome_length:
-            return []
-
-        # The purpose here is ot find the longest stretches of 'o'
-        # characters in a given string of mismatch map `s` (which
-        # correspond to matching nts in a palindromic sequence)
-        # without violating the maximum number of mismatches allowed
-        # by the user (which correspond to `c`) characters. The gaps
-        # `-` are not allowed by any means, so they are ignored.
-        #
-        # A single pass of this algorithm over a `s` to
-        # identify sections of it with allowed number of mismathces
-        # will not give an opportunity to identify longest possible
-        # stretches of palindromic sequences. however, a moving
-        # start position WILL consider all combinations of substrings,
-        # which can later be considered to find best ones. it is
-        # difficult to imagine without an example, so for the string `s`
-        # shown above, `starts` will look like this:
-        #
-        # >>> [0, 3, 20, 24, 26, 27, 29, 30, 32, 42, 44, 45, 47, 65, 67, 71]
-        starts = [0] + [pos + 1 for pos, c in enumerate(s) if c == 'x']
-
-        # running the state machine below for a given `start` will collect
-        # every matching stretch that contains an acceptable number of
-        # mismatches. For instance, for a max mismatch requirement of two,
-        # the iterations over `s` will identify start-end positions that
-        # will yeild the following substrings:
-        #
-        # >>>  s: ooxooooooooooooooooxoooxoxxoxxoxoooooooooxoxxoxooooooooo--ooo-o-xoxoooxoooooooooooooooooo
-        #
-        # >>>  0: ooxooooooooooooooooxooo oxxo xoxooooooooo oxxo ooooooooo  ooo o xoxooo oooooooooooooooooo
-        # >>>  3: .. ooooooooooooooooxoooxo xox oxoooooooooxo xoxooooooooo  ooo o xoxooo oooooooooooooooooo
-        # >>> 20: ................... oooxox oxxo oooooooooxox oxooooooooo  ooo o xoxooo oooooooooooooooooo
-        # >>> 24: ....................... oxxo xoxooooooooo oxxo ooooooooo  ooo o xoxooo oooooooooooooooooo
-        # >>> 26: ......................... xox oxoooooooooxo xoxooooooooo  ooo o xoxooo oooooooooooooooooo
-        # >>> 27: .......................... oxxo oooooooooxox oxooooooooo  ooo o xoxooo oooooooooooooooooo
-        # >>> 29: ............................ xoxooooooooo oxxo ooooooooo  ooo o xoxooo oooooooooooooooooo
-        # >>> 30: ............................. oxoooooooooxo xoxooooooooo  ooo o xoxooo oooooooooooooooooo
-        # >>> 32: ............................... oooooooooxox oxooooooooo  ooo o xoxooo oooooooooooooooooo
-        # >>> 42: ......................................... oxxo ooooooooo  ooo o xoxooo oooooooooooooooooo
-        # >>> 44: ........................................... xoxooooooooo  ooo o xoxooo oooooooooooooooooo
-        # >>> 45: ............................................ oxooooooooo  ooo o xoxooo oooooooooooooooooo
-        # >>> 47: .............................................. ooooooooo  ooo o xoxooo oooooooooooooooooo
-        # >>> 65: ................................................................ oxoooxoooooooooooooooooo
-        # >>> 67: .................................................................. oooxoooooooooooooooooo
-        # >>> 71: ...................................................................... oooooooooooooooooo
-        #
-        # thus, the list `W` will contain start-end positions for every
-        # possible stretch that do not include gap characters.
-        W = []
-        for start in starts:
-            end = start
-            num_mismatches = 0
-
-            while 1:
-                if s[start] == 'x':
-                    start += 1
-                    continue
-
-                if s[end] == 'o':
-                    end += 1
-                elif s[end] == 'x':
-                    num_mismatches += 1
-
-                    if num_mismatches > max_num_mismatches:
-                        W.append((start, end), )
-                        num_mismatches = 0
-                        start = end + 1
-                        end = start
-                    else:
-                        end += 1
-                else:
-                    W.append((start, end), )
-                    num_mismatches = 0
-                    start = end + 1
-                    end = start
-
-                if end + 1 > len(s):
-                    if end > start:
-                        W.append((start, end), )
-
-                    break
-
-        # remove all the short ones:
-        W = [(start, end) for (start, end) in W if end - start > min_palindrome_length]
-
-        # sort all based on substring length
-        W = sorted(W, key=lambda x: x[1] - x[0], reverse=True)
-
-        # the following code will pop the longest substring from W[0], then
-        # remove all the ones that overlap with it, and take the longest one
-        # among those that remain, until all items in `W` are considered.
-        F = []
-        while 1:
-            if not len(W):
-                break
-
-            _start, _end = W.pop(0)
-            F.append((_start, _end), )
-
-            W = [(start, end) for (start, end) in W if (start < _start and end < _start) or (start > _end and end > _end)]
-
-        # now `F` contains the longest substrings with maximum number of
-        # mismatches allowed, which will look like this for the `s` with
-        # various minimum length (ML) and max mismatches (MM) parameters:
-        #
-        # >>>    input s: ooxooooooooooooooooxoooxoxxoxxoxoooooooooxoxxoxooooooooo--ooo-o-xoxoooxoooooooooooooooooo
-        #
-        # >>> ML 5; MM 0:    oooooooooooooooo             ooooooooo      ooooooooo               oooooooooooooooooo
-        # >>> ML 5; MM 1:    ooooooooooooooooxooo         oooooooooxo  oxooooooooo           oooxoooooooooooooooooo
-        # >>> ML 5; MM 2: ooxooooooooooooooooxooo       oxoooooooooxo xoxooooooooo         oxoooxoooooooooooooooooo
-        # >>> ML15; MM 3: ooxooooooooooooooooxoooxo                                        oxoooxoooooooooooooooooo
-        # >>> (...)
-
-        return(sorted(F))
-
-
-    def get_split_palindromes(self, p, display_palindromes=False):
-        """Takes a palindrome object, and splits it into multiple.
-
-        The goal here is to make use of BLAST matches that may include too many mismatches or
-        gaps, and find long palindromic regions that still fit our criteria of maximum number
-        of mismatches and minimum length.
-
-        We go through the mismatch map, resolve regions that still could be good candidates
-        to be considered as palindromes, and return a list of curated palindrome objects.
-        """
-
-        split_palindromes = []
-        mismatch_map = []
-
-        for i in range(0, len(p.first_sequence)):
-            if p.first_sequence[i] == p.second_sequence[i]:
-                mismatch_map.append('o')
-            elif '-' in [p.first_sequence[i], p.second_sequence[i]]:
-                mismatch_map.append('-')
-            else:
-                mismatch_map.append('x')
-
-        mismatch_map = ''.join(mismatch_map)
-
-        # get all the best substrings by resolving the mismatch map
-        substrings = self.resolve_mismatch_map(mismatch_map,
-                                               min_palindrome_length=self.min_palindrome_length,
-                                               max_num_mismatches=self.max_num_mismatches)
-        # if we don't get any substrings, it means it is time to go back
-        if not len(substrings):
-            return []
-
-        if anvio.DEBUG or display_palindromes or self.verbose:
-            self.progress.reset()
-            self.run.warning(None, header='SPLITTING A HIT', lc='red')
-            self.run.info('1st sequence', p.first_sequence, mc='green')
-            self.run.info('ALN', p.midline, mc='green')
-            self.run.info('2nd sequence', p.second_sequence, mc='green')
-
-        # using these substrings we will generate a list of `Palindrome` objects
-        # to replace the mother object.
-        for start, end in substrings:
-            split_p = Palindrome()
-            split_p.sequence_name = p.sequence_name
-            split_p.first_start = p.first_start + start
-            split_p.first_end = p.first_start + end
-            split_p.first_sequence = p.first_sequence[start:end]
-            split_p.second_start = p.second_start + start
-            split_p.second_end = p.second_start + end
-            split_p.second_sequence = p.second_sequence[start:end]
-            split_p.midline = p.midline[start:end]
-            split_p.num_mismatches = split_p.midline.count('x')
-            split_p.length = end - start
-            split_p.distance = p.distance
-
-            split_palindromes.append(split_p)
-
-            if anvio.DEBUG or display_palindromes or self.verbose:
-                self.progress.reset()
-                self.run.info_single(f"    Split [{start}:{end}]", nl_before=1, level=2, mc="red")
-                self.run.info('    1st sequence', split_p.first_sequence, mc='green')
-                self.run.info('    ALN', split_p.midline, mc='green')
-                self.run.info('    2nd sequence', split_p.second_sequence, mc='green')
-
-        return split_palindromes
-
-
-    def report(self):
-        num_sequences = 0
-        num_palindromes = 0
-        longest_palindrome = 0
-        most_distant_palindrome = 0
-
-        for sequence_name in self.palindromes:
-            num_sequences += 1
-            for palindrome in self.palindromes[sequence_name]:
-                if palindrome.length > longest_palindrome:
-                    longest_palindrome = palindrome.length
-                if palindrome.distance > most_distant_palindrome:
-                    most_distant_palindrome = palindrome.distance
-                num_palindromes += 1
-
-        if num_palindromes == 0:
-            self.run.warning(f"Anvi'o searched {P('sequence', num_sequences)} you have provided and found no "
-                             f"palindromes that satisfy your input criteria :/ No output file will be generated.")
-
-            return
-
-        self.run.warning(None, header="SEARCH RESULTS", lc="green")
-        self.run.info('Total number of sequences processed', num_sequences)
-        self.run.info('Total number of palindromes found', num_palindromes)
-        self.run.info('Longest palindrome', longest_palindrome)
-        self.run.info('Most distant palindrome', most_distant_palindrome)
-
-        headers = ["sequence_name", "length", "distance", "num_mismatches", "first_start", "first_end", "first_sequence", "second_start", "second_end", "second_sequence", "midline"]
-        if self.output_file_path:
-            with open(self.output_file_path, 'w') as output_file:
-                output_file.write('\t'.join(headers) + '\n')
-                for sequence_name in self.palindromes:
-                    for palindrome in self.palindromes[sequence_name]:
-                        output_file.write('\t'.join([f"{getattr(palindrome, h)}" for h in headers]) + '\n')
-
-            self.run.info('Output file', self.output_file_path, mc='green', nl_before=1, nl_after=1)
diff --git a/anvio/splitter.py b/anvio/splitter.py
index 694ed61a0f..231b9673a3 100644
--- a/anvio/splitter.py
+++ b/anvio/splitter.py
@@ -451,8 +451,6 @@ def __init__(self, bin_name, summary_object, args, run=run, progress=progress):
         self.linkage = A('linkage') or constants.linkage_method_default
         self.compress_auxiliary_data = A('compress_auxiliary_data')
 
-        self.db_variant = str(utils.get_db_variant(self.profile_db_path))
-
         # make sure early on that both the distance and linkage is OK.
         clustering.is_distance_and_linkage_compatible(self.distance, self.linkage)
         self.clustering_configs = constants.clustering_configs['merged']
@@ -566,12 +564,10 @@ def do_auxiliary_profile_data(self):
 
         bin_profile_auxiliary = auxiliarydataops.AuxiliaryDataForSplitCoverages(new_auxiliary_profile_data_path,
                                                                                 self.contigs_db_hash,
-                                                                                db_variant=self.db_variant,
                                                                                 create_new=True)
 
         parent_profile_auxiliary = auxiliarydataops.AuxiliaryDataForSplitCoverages(parent_auxiliary_profile_data_path,
-                                                                                   self.summary.a_meta['contigs_db_hash'],
-                                                                                   db_variant=self.db_variant)
+                                                                                   self.summary.a_meta['contigs_db_hash'])
 
         for split_name in self.split_names:
             sample_coverages = parent_profile_auxiliary.get(split_name)
@@ -948,6 +944,10 @@ def export_locus(self, output_path_prefix, gene_callers_id=None, gene_caller_ids
             >>> '/path/to/dir/file_name_prefix.fa'
             >>> '/path/to/dir/file_name_prefix.db'
 
+        FIXME Need to add check, where if you are in flank mode and one of your search_terms gives you more then one gene-caller-id
+        then you have more then how to choose which contig to cut out?????????
+
+        NOTE ^^^ has this FIXME been addressed? It looks like this _is_ checked, and raises an error - Evan
         """
 
         if gene_callers_id is not None and not isinstance(gene_callers_id, int):
@@ -986,8 +986,8 @@ def export_locus(self, output_path_prefix, gene_callers_id=None, gene_caller_ids
                                                                        ))
 
             gene_caller_ids = list(gene_caller_ids_flank_pair)
-            gene_callers_id = gene_caller_ids[0] # just for getting contig name from contigDB
-
+            first_gene_of_the_block, last_gene_of_the_block = sorted(gene_caller_ids)
+            gene_callers_id = first_gene_of_the_block # just for getting contig name from contigDB
 
         if os.path.isdir(output_path_prefix):
             raise ConfigError("Output path prefix can't be a directory name...")
@@ -1001,47 +1001,12 @@ def export_locus(self, output_path_prefix, gene_callers_id=None, gene_caller_ids
 
         # Query for gene_call, contig_name, and genes_in_contig_sorted
         gene_call = self.contigs_db.genes_in_contigs_dict[gene_callers_id]
-
-        # if in flank mode check that both search terms are NOT on the same contig
-        if self.is_in_flank_mode:
-            contig_name_1 = self.contigs_db.genes_in_contigs_dict[gene_caller_ids[0]]['contig']
-            contig_name_2 = self.contigs_db.genes_in_contigs_dict[gene_caller_ids[1]]['contig']
-            if contig_name_1 != contig_name_2:
-                raise ConfigError(f"Soooooo it turns out that the flanking genes you picked "
-                                  f"are found on two separate contigs: {contig_name_1} and {contig_name_2}. That means we can't prepare "
-                                  f"a smaller piece of DNA for you :/")
-            
         contig_name = self.contigs_db.genes_in_contigs_dict[gene_callers_id]['contig']
+        genes_in_contig_sorted = sorted(list(self.contigs_db.contig_name_to_genes[contig_name]))
 
-        # Sort by gene start position
-        genes_in_contig_sorted = sorted(list(self.contigs_db.contig_name_to_genes[contig_name]), key=lambda tup: tup[1])
-
-        # Here we run Default-mode and cut out the locus based on the anchor gene_callers_id (index) and
-        # cut + self.num_genes_list[0] and - self.num_genes_list[1] around it
         D = lambda: 1 if gene_call['direction'] == 'f' else -1
+        premature = False
 
-        if not self.is_in_flank_mode:
-            counter = 0
-            for gcid,start,stop in genes_in_contig_sorted:
-                if gcid == gene_callers_id:
-                    anchor_gene_index = counter
-                counter = counter + 1
-
-
-            gene_1 = anchor_gene_index - self.num_genes_list[0] * D()
-            gene_2 = anchor_gene_index + self.num_genes_list[1] * D()
-            first_gene_of_the_block = min(gene_1, gene_2)
-            last_gene_of_the_block = max(gene_1, gene_2)
-
-        if self.is_in_flank_mode:
-            counter = 0
-            anchor_gene_index_flank_pair = []
-            for gene in genes_in_contig_sorted:
-                if gene[0] in gene_caller_ids:
-                    anchor_gene_index_flank_pair.append(counter)
-                counter = counter + 1
-            first_gene_of_the_block, last_gene_of_the_block = sorted(anchor_gene_index_flank_pair)
-            
         # Print out locus info for user
         self.run.info("Contig name", contig_name)
         self.run.info("Contig length", self.contigs_db.contigs_basic_info[contig_name]['length'])
@@ -1049,11 +1014,20 @@ def export_locus(self, output_path_prefix, gene_callers_id=None, gene_caller_ids
         self.run.info("Target gene call", gene_callers_id)
         self.run.info("Target gene direction", "Forward" if D() == 1 else "Reverse", mc = 'green' if D() == 1 else 'red')
 
-        # getting gene indexes for the first and last genes in the contig
-        last_gene_in_contig = len(genes_in_contig_sorted) - 1
-        first_gene_in_contig = 0
+        # Here we run Default-mode and cut out the locus based on the anchor gene_callers_id and
+        # cut + self.num_genes_list[0] and - self.num_genes_list[1] arount it
+        if not self.is_in_flank_mode:
+            gene_1 = gene_callers_id - self.num_genes_list[0] * D()
+            gene_2 = gene_callers_id + self.num_genes_list[1] * D()
+            first_gene_of_the_block = min(gene_1, gene_2)
+            last_gene_of_the_block = max(gene_1, gene_2)
+
+        self.run.info("First and last gene of the locus (raw)", "%d and %d" % (first_gene_of_the_block, last_gene_of_the_block))
+
+        # getting the ids for the first and last genes in the contig
+        last_gene_in_contig = genes_in_contig_sorted[-1][0]
+        first_gene_in_contig = genes_in_contig_sorted[0][0]
 
-        premature = False
         if last_gene_of_the_block > last_gene_in_contig:
             last_gene_of_the_block = last_gene_in_contig
             premature = True
@@ -1068,14 +1042,10 @@ def export_locus(self, output_path_prefix, gene_callers_id=None, gene_caller_ids
         elif premature and not self.remove_partial_hits:
             self.run.info_single("A premature locus is found .. the current configuration says 'whatevs'. Anvi'o will continue.", mc="yellow", nl_before=1, nl_after=1)
 
-        self.run.info("First and last gene of the locus ", "%d and %d" % (first_gene_of_the_block, last_gene_of_the_block))
-
-        # convert gene position indexes to gene-callers-ids
-        first_gene_of_the_block_gene_callers_id = genes_in_contig_sorted[first_gene_of_the_block][0]
-        last_gene_of_the_block_gene_callers_id = genes_in_contig_sorted[last_gene_of_the_block][0]
+        self.run.info("First and last gene of the locus (final)", "%d and %d" % (first_gene_of_the_block, last_gene_of_the_block))
 
-        locus_start = self.contigs_db.genes_in_contigs_dict[first_gene_of_the_block_gene_callers_id]['start']
-        locus_stop = self.contigs_db.genes_in_contigs_dict[last_gene_of_the_block_gene_callers_id]['stop']
+        locus_start = self.contigs_db.genes_in_contigs_dict[first_gene_of_the_block]['start']
+        locus_stop = self.contigs_db.genes_in_contigs_dict[last_gene_of_the_block]['stop']
 
         # being a performance nerd here yes
         contig_sequence = db.DB(self.input_contigs_db_path, None, ignore_version=True, skip_rowid_prepend=True) \
@@ -1087,14 +1057,13 @@ def export_locus(self, output_path_prefix, gene_callers_id=None, gene_caller_ids
 
         # here we will create a gene calls dict for genes that are specific to our locus. since we trimmed
         # the contig sequence to the locus of interest, we will have to adjust start and stop positions of
-        # genes in the gene calls dict.
+        # genes in teh gene calls dict.
         locus_gene_calls_dict = {}
         for g in range(first_gene_of_the_block, last_gene_of_the_block + 1):
-            gci = genes_in_contig_sorted[g][0]
-            locus_gene_calls_dict[gci] = copy.deepcopy(self.contigs_db.genes_in_contigs_dict[gci])
-            excess = self.contigs_db.genes_in_contigs_dict[first_gene_of_the_block_gene_callers_id]['start']
-            locus_gene_calls_dict[gci]['start'] -= excess
-            locus_gene_calls_dict[gci]['stop'] -= excess
+            locus_gene_calls_dict[g] = copy.deepcopy(self.contigs_db.genes_in_contigs_dict[g])
+            excess = self.contigs_db.genes_in_contigs_dict[first_gene_of_the_block]['start']
+            locus_gene_calls_dict[g]['start'] -= excess
+            locus_gene_calls_dict[g]['stop'] -= excess
 
         self.run.info("Locus gene call start/stops excess (nts)", excess)
 
@@ -1181,7 +1150,7 @@ def store_locus_as_contigs_db(self, contig_name, sequence, gene_calls, output_pa
             gene_calls = new_gene_calls
 
 
-        # write the sequence as a temporary FASTA file since the design of ContigsDatabase::create
+        # write the sequene as a temporary FASTA file since the design of ContigsDatabase::create
         # will work seamlessly with this approach:
         with open(locus_sequence_fasta, 'w') as f:
             f.write('>%s\n%s\n' % (contig_name, sequence))
@@ -1197,8 +1166,6 @@ def store_locus_as_contigs_db(self, contig_name, sequence, gene_calls, output_pa
                                   split_length=sys.maxsize,
                                   kmer_size=4,
                                   external_gene_calls=locus_external_gene_calls)
-        #FIXME: it would be great if anvio could give a warning about internal stop codons
-        # rather than killing the whole export-locus interation
         dbops.ContigsDatabase(locus_output_db_path, run=self.run_object).create(args)
 
         # while we are at it, here we generate a blank profile, too. so visualization of the
@@ -1239,7 +1206,7 @@ def store_locus_as_contigs_db(self, contig_name, sequence, gene_calls, output_pa
 
         ############################################################################################
         # DO AMINO ACID SEQUENCES -- we are using external gene calls to generate the new contigs
-        #                            database, but amino acid sequences are kept in a different table
+        #                            database, but amino acid sequnces are kept in a different table
         #                            and anvi'o checks whether provided gene calls resolve to amino
         #                            acid sequences with proper starts and stops. if not, it skips
         #                            them. but amino acid sequences for each gene call was stored
diff --git a/anvio/structureops.py b/anvio/structureops.py
index 99833a5ef3..43b6842e06 100755
--- a/anvio/structureops.py
+++ b/anvio/structureops.py
@@ -334,13 +334,10 @@ def __init__(self, args, create=False, run=terminal.Run(), progress=terminal.Pro
 
         self.contigs_db_path = A('contigs_db', null)
         self.structure_db_path = A('structure_db', null)
-        self.external_structures_path = A('external_structures', null)
         self.modeller_executable = A('modeller_executable', null)
         self.list_modeller_params = A('list_modeller_params', null)
         self.full_modeller_output = A('dump_dir', null)
 
-        self.run_mode = 'modeller' if not self.external_structures_path else 'external'
-
         self.num_threads = A('num_threads', int)
         self.queue_size = self.num_threads * 2
         self.write_buffer_size = self.num_threads * A('write_buffer_size_per_thread', int)
@@ -348,11 +345,14 @@ def __init__(self, args, create=False, run=terminal.Run(), progress=terminal.Pro
         self.genes_of_interest_path = A('genes_of_interest', null)
         self.gene_caller_ids = A('gene_caller_ids', null)
         self.rerun_genes = A('rerun_genes', null)
+        self.splits_of_interest_path = A('splits_of_interest', null)
+        self.bin_id = A('bin_id', null)
+        self.collection_name = A('collection_name', null)
 
         utils.is_contigs_db(self.contigs_db_path)
-        contigs_db = dbops.ContigsDatabase(self.contigs_db_path)
-        self.contigs_db_hash = contigs_db.meta['contigs_db_hash']
-        contigs_db.disconnect()
+        self.contigs_db = dbops.ContigsDatabase(self.contigs_db_path)
+        self.contigs_db_hash = self.contigs_db.meta['contigs_db_hash']
+        self.contigs_db.disconnect()
 
         # init ContigsSuperClass
         self.contigs_super = ContigsSuperclass(self.args, r=terminal.Run(verbose=False), p=terminal.Progress(verbose=False))
@@ -368,6 +368,10 @@ def __init__(self, args, create=False, run=terminal.Run(), progress=terminal.Pro
 
             filesnpaths.is_output_file_writable(self.structure_db_path)
 
+            self.run.warning("Anvi'o will use 'MODELLER' by Webb and Sali (DOI: 10.1002/cpbi.3) to model "
+                             "protein structures. If you publish your findings, please do not forget to "
+                             "properly credit their work.", lc='green', header="CITATION")
+
 
         # init StructureDatabase
         self.structure_db = StructureDatabase(self.structure_db_path, self.contigs_db_hash, create_new=create)
@@ -405,7 +409,6 @@ def get_modeller_params(self):
         =====
         - If self.create=False, parameters in self.args accessed by this function are first set via
           self.set_prior_modeller_params
-        - If self.run_mode != 'modeller', all values are set to null values
         """
 
         if not self.create:
@@ -415,28 +418,16 @@ def get_modeller_params(self):
         A = lambda x, t: t(self.args.__dict__[x]) if x in self.args.__dict__ else None
         null = lambda x: x
 
-        if self.run_mode == 'modeller':
-            return {
-                'modeller_database': A('modeller_database', null),
-                'scoring_method': A('scoring_method', null),
-                'max_number_templates': A('max_number_templates', null),
-                'percent_cutoff': A('percent_cutoff', null),
-                'alignment_fraction_cutoff': A('alignment_fraction_cutoff', null),
-                'num_models': A('num_models', null),
-                'deviation': A('deviation', null),
-                'very_fast': A('very_fast', bool),
-            }
-        else:
-            return {
-                'modeller_database': None,
-                'scoring_method': None,
-                'max_number_templates': 0,
-                'percent_cutoff': 0,
-                'alignment_fraction_cutoff': 0,
-                'num_models': 0,
-                'deviation': 0,
-                'very_fast': False,
-            }
+        return {
+            'modeller_database': A('modeller_database', null),
+            'scoring_method': A('scoring_method', null),
+            'max_number_templates': A('max_number_templates', null),
+            'percent_cutoff': A('percent_cutoff', null),
+            'alignment_fraction_cutoff': A('alignment_fraction_cutoff', null),
+            'num_models': A('num_models', null),
+            'deviation': A('deviation', null),
+            'very_fast': A('very_fast', bool),
+        }
 
 
     def set_prior_modeller_params(self):
@@ -454,13 +445,8 @@ def set_prior_modeller_params(self):
 
 
     def sanity_check(self):
-        if self.run_mode == 'modeller':
-            self.run.warning("Anvi'o will use 'MODELLER' by Webb and Sali (DOI: 10.1002/cpbi.3) to model "
-                             "protein structures. If you publish your findings, please do not forget to "
-                             "properly credit their work.", lc='green', header="CITATION")
-
         # if self.percent_cutoff is < 25, you should be careful about accuracy of models
-        if self.run_mode == 'modeller' and self.modeller_params['percent_cutoff'] < 25:
+        if self.modeller_params['percent_cutoff'] < 25:
             self.run.warning("You selected a percent identical cutoff of {}%. Below 25%, you should pay close attention "
                              "to the quality of the proteins... Keep in mind random sequence are expected to share "
                              "around 10% identity.".format(self.modeller_params['percent_cutoff']))
@@ -469,30 +455,25 @@ def sanity_check(self):
             self.run.warning("It was requested that amino acid residue annotation with DSSP be skipped. A bold move only "
                              "an expert could justify... Anvi'o's respect for you increases slightly.")
 
-        if self.run_mode == 'modeller':
-            # Perform a rather extensive check on whether the MODELLER executable is going to work. We
-            # do this here so we can initiate MODELLER.MODELLER with lazy_init so it does not do this
-            # check every time
-            self.args.modeller_executable = MODELLER.check_MODELLER(self.modeller_executable)
-            self.modeller_executable = self.args.modeller_executable
-            self.run.info_single("Anvi'o found the MODELLER executable %s, so will use it" % self.modeller_executable, nl_after=1, nl_before=1, mc='green')
-
-            # Check and populate modeller databases if required
-            MODELLER.MODELLER(self.args, filesnpaths.get_temp_file_path(), check_db_only=True)
-        elif self.run_mode == 'external':
-            self.run.info_single("Anvi'o will attempt to generate a database using external structures", nl_after=1, nl_before=1, mc='green')
-
-            if self.full_modeller_output:
-                raise ConfigError("No sense providing a --dump-dir when --external-structures are provided.")
-
-            self.external_structures = ExternalStructuresFile(path=self.external_structures_path, contigs_db_path=self.contigs_db_path)
+        # Perform a rather extensive check on whether the MODELLER executable is going to work. We
+        # do this here so we can initiate MODELLER.MODELLER with lazy_init so it does not do this
+        # check every time
+        self.args.modeller_executable = MODELLER.check_MODELLER(self.modeller_executable)
+        self.modeller_executable = self.args.modeller_executable
+        self.run.info_single("Anvi'o found the MODELLER executable %s, so will use it" % self.modeller_executable, nl_after=1, mc='green')
+
+        # Check and populate modeller databases if required
+        self.progress.new("MODELLER")
+        self.progress.update("Populating databases")
+        MODELLER.MODELLER(self.args, filesnpaths.get_temp_file_path(), check_db_only=True)
+        self.progress.end()
 
 
     def get_genes_of_interest(self, genes_of_interest_path=None, gene_caller_ids=None, raise_if_none=False):
-        """Nabs the genes of interest based on genes_of_interest_path, gene_caller_ids, and self.external_structures
+        """Nabs the genes of interest based on genes_of_interest_path and gene_caller_ids
 
-        If no genes of interest are provided through either genes_of_interest_path,
-        gene_caller_ids, or self.external_structures, all will be assumed
+        If no genes of interest are provided through either genes_of_interest_path or
+        gene_caller_ids, all will be assumed
 
         Parameters
         ==========
@@ -502,16 +483,6 @@ def get_genes_of_interest(self, genes_of_interest_path=None, gene_caller_ids=Non
 
         genes_of_interest = None
 
-        if self.run_mode == 'external':
-            if genes_of_interest_path or gene_caller_ids:
-                raise ConfigError("You can't provide a --gene-caller-ids or --genes-of-interest concurrently with --external-structures. "
-                                  "If you are trying to create a database from a subset of structures in your external structures file, "
-                                  "please instead create an external structures file containing only those structures and use that instead."
-                                  "Sorry for the inconvenience.")
-
-            genes_of_interest = self.external_structures.content['gene_callers_id']
-            return genes_of_interest
-
         # identify the gene caller ids of all genes available
         genes_in_contigs_database = set(self.contigs_super.genes_in_contigs_dict.keys())
 
@@ -598,20 +569,18 @@ def _run(self):
         self.run.info('genes_of_interest', self.genes_of_interest_path)
         self.run.info('gene_caller_ids', self.gene_caller_ids)
         self.run.info('skip_DSSP', self.skip_DSSP)
-        self.run.info('run_mode', self.run_mode)
 
-        if self.run_mode == 'modeller':
-            self.run.warning('', header='Modeller parameters', nl_after=0, lc='green')
-            self.run.info('modeller_executable', self.modeller_executable)
-            for param, value in self.modeller_params.items():
-                self.run.info(param, value)
-            self.run.info('dump_dir', self.full_modeller_output, nl_after=1)
+        self.run.warning('', header='Modeller parameters', nl_after=0, lc='green')
+        self.run.info('modeller_executable', self.modeller_executable)
+        for param, value in self.modeller_params.items():
+            self.run.info(param, value)
+        self.run.info('dump_dir', self.full_modeller_output, nl_after=1)
 
         if not anvio.DEBUG:
             self.run.warning("Do you want live info about how the modelling procedure is going for "
                              "each gene? Then restart this process with the --debug flag", lc='yellow')
 
-        if self.run_mode == 'modeller' and not self.full_modeller_output:
+        if not self.full_modeller_output:
             self.run.warning("When this finishes, do you want a potentially massive folder that "
                              "contains a murder of unorganized data in volumes that far exceed what "
                              "you could possibly want? Perfect, then restart this process and "
@@ -824,93 +793,50 @@ def process_gene(self, corresponding_gene_call):
             'has_structure': False,
         }
 
-        if self.run_mode == 'modeller':
-            directory = filesnpaths.get_temp_directory_path()
-
-            # Export sequence
-            target_fasta_path = filesnpaths.get_temp_file_path()
-            self.contigs_super.get_sequences_for_gene_callers_ids([corresponding_gene_call],
-                                                                  output_file_path=target_fasta_path,
-                                                                  report_aa_sequences=True,
-                                                                  simple_headers=True)
-
-            try:
-                filesnpaths.is_file_fasta_formatted(target_fasta_path)
-            except FilesNPathsError:
-                self.run.warning("You wanted to model a structure for gene ID %d, but the exported FASTA file "
-                                 "is not what anvi'o considers a FASTA formatted file. The reason why this "
-                                 "occassionally happens has not been investigated, but if it is any consolation, "
-                                 "it is not your fault. You may want to try again, and maybe it will work. Or "
-                                 "maybe it will not. Regardless, at this time anvi'o cannot model the gene. "
-                                 "Here is the temporary fasta file path: %s " % (corresponding_gene_call, target_fasta_path))
-                return structure_info
-
-            if self.skip_gene_if_not_clean(corresponding_gene_call, fasta_path=target_fasta_path):
-                return structure_info
-
-            # Model structure
-            structure_info['results'] = self.run_modeller(target_fasta_path, directory)
-
-        elif self.run_mode == 'external':
+        directory = filesnpaths.get_temp_directory_path()
 
-            structure = self.external_structures.get_structure(corresponding_gene_call)
-            if self.skip_gene_if_not_clean(corresponding_gene_call, sequence=structure.get_sequence()):
-                return structure_info
+        # Export sequence
+        target_fasta_path = filesnpaths.get_temp_file_path()
+        self.contigs_super.get_sequences_for_gene_callers_ids([corresponding_gene_call],
+                                                              output_file_path=target_fasta_path,
+                                                              report_aa_sequences=True,
+                                                              simple_headers=True)
 
-            structure_info['results'] = self.create_results_dict_for_external_structure(corresponding_gene_call)
+        try:
+            filesnpaths.is_file_fasta_formatted(target_fasta_path)
+        except FilesNPathsError:
+            self.run.warning("You wanted to model a structure for gene ID %d, but the exported FASTA file "
+                             "is not what anvi'o considers a FASTA formatted file. The reason why this "
+                             "occassionally happens has not been investigated, but if it is any consolation, "
+                             "it is not your fault. You may want to try again, and maybe it will work. Or "
+                             "maybe it will not. Regardless, at this time anvi'o cannot model the gene. "
+                             "Here is the temporary fasta file path: %s " % (corresponding_gene_call, target_fasta_path))
+            return structure_info
+
+        if self.skip_gene_if_not_clean(corresponding_gene_call, target_fasta_path):
+            return structure_info
+
+        # Model structure
+        structure_info['modeller'] = self.run_modeller(target_fasta_path, directory)
 
         # Annotate residues
-        if structure_info['results']['structure_exists']:
+        if structure_info['modeller']['structure_exists']:
             structure_info['has_structure'] = True
 
             structure_info['residue_info'] = self.get_gene_contribution_to_residue_info_table(
                 corresponding_gene_call=corresponding_gene_call,
-                pdb_filepath=structure_info['results']['best_model_path'],
+                pdb_filepath=structure_info['modeller']['best_model_path'],
             )
 
         return structure_info
 
 
-    def create_results_dict_for_external_structure(self, corresponding_gene_call):
-        return {
-            'templates': {'pdb_id': ['none'], 'chain_id': ['none'], 'proper_percent_similarity': [0], 'percent_similarity': [0], 'align_fraction': [0]},
-            'models': {'molpdf': [0], 'GA341_score': [0], 'DOPE_score': [0], 'picked_as_best': [True]},
-            'corresponding_gene_call': corresponding_gene_call,
-            'structure_exists': True,
-            'best_model_path': self.external_structures.get_path(corresponding_gene_call),
-            'best_score': None,
-            'scoring_method': self.modeller_params['scoring_method'],
-            'percent_cutoff': self.modeller_params['percent_cutoff'],
-            'alignment_fraction_cutoff': self.modeller_params['alignment_fraction_cutoff'],
-            'very_fast': self.modeller_params['very_fast'],
-            'deviation': self.modeller_params['deviation'],
-        }
-
-
-    def skip_gene_if_not_clean(self, corresponding_gene_call, fasta_path=None, sequence=None):
-        """Do not try modelling gene if it is not clean
-
-        Parameters
-        ==========
-        corresponding_gene_call : int
-            What is the gene callers id?
-        fasta_path : str, None
-            Provide either the path to the amino acid fasta
-        sequence : str, None
-            Or the amino acid sequence itself. Don't provide both
-        """
-
-        if not (fasta_path or sequence):
-            raise ConfigError("skip_gene_if_not_clean :: provide a fasta_path or sequence")
-        if fasta_path and sequence:
-            raise ConfigError("skip_gene_if_not_clean :: don't provide both a fasta_path and a sequence")
-
-        if fasta_path:
-            fasta = u.SequenceSource(fasta_path); next(fasta)
-            sequence = fasta.seq
+    def skip_gene_if_not_clean(self, corresponding_gene_call, fasta_path):
+        """Do not try modelling gene if it is not clean"""
 
+        fasta = u.SequenceSource(fasta_path); next(fasta)
         try:
-            utils.is_gene_sequence_clean(sequence, amino_acid=True, can_end_with_stop=False, must_start_with_met=False)
+            utils.is_gene_sequence_clean(fasta.seq, amino_acid=True, can_end_with_stop=False, must_start_with_met=False)
             return False
         except ConfigError as error:
             self.run.warning("You wanted to model a structure for gene ID %d, but it is not what anvi'o "
@@ -945,12 +871,7 @@ def run_residue_identity_annotation(self, corresponding_gene_call, pdb_filepath)
                     "codon":               [],
                     "amino_acid":          []}
 
-        last_codon = nt_sequence[:-3]
-        if last_codon in ['TAA', 'TAG', 'TGA']:
-            gene_length_in_codons = len(nt_sequence)//3 - 1 # subtract 1 because it's the stop codon
-        else:
-            gene_length_in_codons = len(nt_sequence)//3
-
+        gene_length_in_codons = len(nt_sequence)//3 - 1 # subtract 1 because it's the stop codon
         for codon_order_in_gene in range(gene_length_in_codons):
             seq_dict["codon_order_in_gene"].append(codon_order_in_gene)
             seq_dict["codon_number"].append(codon_order_in_gene+1)
@@ -989,22 +910,22 @@ def dump_raw_results(self, structure_info):
         if not self.full_modeller_output:
             return
 
-        if 'results' not in structure_info:
+        if 'modeller' not in structure_info:
             return
 
-        output_gene_dir = os.path.join(self.full_modeller_output, structure_info['results']['corresponding_gene_call'])
-        shutil.move(structure_info['results']['directory'], output_gene_dir)
+        output_gene_dir = os.path.join(self.full_modeller_output, structure_info['modeller']['corresponding_gene_call'])
+        shutil.move(structure_info['modeller']['directory'], output_gene_dir)
 
 
     def store_gene(self, structure_info):
         """Store a gene's info into the structure database"""
 
-        if 'results' not in structure_info:
+        if 'modeller' not in structure_info:
             # There is nothing to store
             return
 
         corresponding_gene_call = structure_info["corresponding_gene_call"]
-        results = structure_info['results']
+        modeller_out = structure_info['modeller']
 
         # If the gene is present in the database, remove it first
         if corresponding_gene_call in self.structure_db.genes_with_structure:
@@ -1012,24 +933,24 @@ def store_gene(self, structure_info):
             self.structure_db.remove_gene(corresponding_gene_call, remove_from_self=False)
 
         # templates is always added, even when structure was not modelled
-        templates = pd.DataFrame(results['templates'])
+        templates = pd.DataFrame(modeller_out['templates'])
         templates.insert(0, 'corresponding_gene_call', corresponding_gene_call)
         self.structure_db.entries[t.templates_table_name] = \
             self.structure_db.entries[t.templates_table_name].append(templates)
         self.structure_db.store(t.templates_table_name)
 
         # entries that are only added if a structure was modelled
-        if results['structure_exists']:
+        if modeller_out['structure_exists']:
 
             # models
-            models = pd.DataFrame(results['models'])
+            models = pd.DataFrame(modeller_out['models'])
             models.insert(0, 'corresponding_gene_call', corresponding_gene_call)
             self.structure_db.entries[t.models_table_name] = \
                 self.structure_db.entries[t.models_table_name].append(models)
             self.structure_db.store(t.models_table_name)
 
             # pdb file data
-            pdb_file = open(results['best_model_path'], 'rb')
+            pdb_file = open(modeller_out['best_model_path'], 'rb')
             pdb_contents = pdb_file.read()
             pdb_file.close()
             pdb_table_entry = (corresponding_gene_call, pdb_contents)
@@ -1712,7 +1633,7 @@ def size_of_database(self):
 
 
 class Structure(object):
-    def __init__(self, pdb_path):
+    def __init__(self, pdb_path, p=terminal.Progress(), r=terminal.Run()):
         """Object to handle the analysis of PDB files"""
 
         self.distances_methods_dict = {
@@ -1724,21 +1645,10 @@ def __init__(self, pdb_path):
         self._load_pdb_file(self.path)
 
 
-    def _load_pdb_file(self, pdb_path, name_id='structure', model_index=0, chain_index=0):
-        """Loads exactly one chain from one model of a PDB"""
-
+    def _load_pdb_file(self, pdb_path, name_id='structure', chain='A'):
         p = PDBParser()
-        structure_obj = p.get_structure(name_id, pdb_path)
-
-        if not len(structure_obj.get_list()):
-            raise FilesNPathsError(f"Biopython was unable to parse {pdb_path} as a PDB file...")
-
-        model = structure_obj.get_list()[model_index]
-        self.structure = model.get_list()[chain_index]
-
-
-    def get_sequence(self):
-        return ''.join([constants.AA_to_single_letter_code[res.resname.capitalize()] for res in self.structure.get_list()])
+        model = p.get_structure(name_id, pdb_path)[0] # [0] = first model
+        self.structure = model[chain]
 
 
     def get_contact_map(self, distance_method='CA', compressed=False, c='order'):
@@ -1908,133 +1818,3 @@ def calc_COM_dist(self, residue1, residue2):
         COM2 = self.get_residue_center_of_mass(residue2)
 
         return np.sqrt(np.sum((COM1 - COM2)**2))
-
-
-class ExternalStructuresFile(object):
-    def __init__(self, path, contigs_db_path, lazy=False, p=terminal.Progress(), r=terminal.Run()):
-        """Check the integrity of an external structures file and provide contents as the attribute self.content
-
-        Parameters
-        ==========
-        contigs_db_path : str, None
-            The path to the corresponding contigs database.
-        lazy : bool, False
-            If false, each structure file will be opened and the sequence therein will be explicitly compared to
-            the amino acid of the gene callers id found in the contigs database. If True, only superficial checks
-            will be carried out, like making sure the file is tab-delimited and that all files pointed to actually
-            exist.
-        """
-
-        self.run, self.progress = r, p
-
-        self.path = path
-        self.contigs_db_path = contigs_db_path
-
-        utils.is_contigs_db(self.contigs_db_path)
-        filesnpaths.is_file_tab_delimited(self.path)
-
-        self.content = pd.read_csv(self.path, sep='\t')
-
-        self.is_header_ok()
-        self.is_duplicates()
-        self.is_gene_caller_ids_ok()
-        self.is_files_exist()
-        if not lazy:
-            self.test_integrity()
-
-
-    def get_structure(self, gene_callers_id):
-        """Return Structure object for given gene callers id"""
-
-        path = self.get_path(gene_callers_id)
-        return Structure(path)
-
-
-    def get_path(self, gene_callers_id):
-        """Return Structure object for given gene callers id"""
-
-        result = self.content.loc[self.content['gene_callers_id'] == gene_callers_id, 'path']
-        if result.empty:
-            raise ConfigError(f"Structure.get_path :: Can't find gene callers id '{gene_callers_id}'.")
-        return result.iloc[0]
-
-
-    def is_header_ok(self):
-        headers_proper = ['gene_callers_id', 'path']
-        with open(self.path, 'rU') as input_file:
-            headers = input_file.readline().strip().split('\t')
-            missing_headers = [h for h in headers_proper if h not in headers]
-
-            if len(headers) != 2:
-                raise FilesNPathsError("Your external structures file does not contain the right number of columns :/ Here are "
-                                       "what the header columns should be called, in this order: '%s'." % ', '.join(headers_proper))
-
-            if len(missing_headers):
-                raise FilesNPathsError("Your external structures file has the wrong headers. They should be: '%s', not '%s'." % (', '.join(headers_proper), ', '.join(headers)))
-
-        return True
-
-
-    def is_duplicates(self):
-        counts = self.content['gene_callers_id'].value_counts()
-        multiple = counts[counts > 1].index.tolist()
-        if len(multiple):
-            raise FilesNPathsError(f"Only one structure can be assigned to each gene callers id. But the following genes are present "
-                                   f"multiple times in your external structures file: {multiple}")
-
-
-    def is_files_exist(self):
-        """Check that all files pointed to in the file actually exist"""
-        for _, row in self.content.iterrows():
-            gene_callers_id, path = row['gene_callers_id'], row['path']
-            if not filesnpaths.is_file_exists(path, dont_raise=True):
-                raise FilesNPathsError(f"This is kind of an issue. Your external structures file points to the following path: {path}. "
-                                       f"for gene callers id {gene_callers_id}. Well that path is not a file :\\")
-
-        return True
-
-
-    def is_gene_caller_ids_ok(self):
-        """Returns True if all gene_callers_ids in external structures file are in the contigs database and are coding"""
-
-        contigs_db = db.DB(self.contigs_db_path, client_version=None, ignore_version=True)
-        table = contigs_db.get_table_as_dataframe('gene_amino_acid_sequences')
-        genes_in_contigs_db_with_aa_seqs = table.loc[table['sequence'] != '', 'gene_callers_id'].tolist()
-        missing_in_contigs = [x for x in self.content['gene_callers_id'] if x not in genes_in_contigs_db_with_aa_seqs]
-
-        if len(missing_in_contigs):
-            raise ConfigError(f"Some gene caller ids in your external structures file are either missing from your contigs database "
-                              f"or are non-coding (they have no corresponding amino acid sequence). This is a show stopper. "
-                              f"Here are the gene caller ids: {missing_in_contigs}")
-
-
-    def test_integrity(self):
-        """Parse the sequence contents of each PDB and ensure it matches the sequences in the contigs database"""
-
-        # Fetch the amino acid sequences found in contigs database
-        contigs_db = db.DB(self.contigs_db_path, client_version=None, ignore_version=True)
-        table = contigs_db.get_table_as_dataframe('gene_amino_acid_sequences')
-        amino_acid_sequences = dict(zip(table['gene_callers_id'], table['sequence']))
-
-        self.progress.new('External structures', progress_total_items=self.content.shape[0])
-        self.progress.update('Testing personal integrity')
-
-        for _, row in self.content.iterrows():
-            gene_callers_id, path = row['gene_callers_id'], row['path']
-            s = Structure(path)
-            aa_seq_structure = s.get_sequence()
-            aa_seq_contigs = amino_acid_sequences[gene_callers_id]
-
-            if aa_seq_structure != aa_seq_contigs:
-                self.progress.end()
-                raise ConfigError(f"The sequence in the structure for gene callers id {gene_callers_id} ({path}) does not match the sequence "
-                                  f"found for this gene in the contigs database. Here is the sequence found in the structure: {aa_seq_structure}. "
-                                  f"And here is the sequence in the contigs database that anvi'o was expecting: {aa_seq_contigs}.")
-
-            self.progress.increment()
-            self.progress.update(self.progress.msg)
-
-        self.progress.end()
-        return True
-
-
diff --git a/anvio/summarizer.py b/anvio/summarizer.py
index 3bfd8dda63..3bd0a1dc7a 100644
--- a/anvio/summarizer.py
+++ b/anvio/summarizer.py
@@ -316,10 +316,8 @@ def functional_enrichment_stats(self):
         '''
             Compute functional enrichment.
 
-            To learn more refer to the documentation:
-                anvi-compute-functional-enrichment-in-pan -h
-                anvi-compute-functional-enrichment-across-genomes -h
-                anvi-compute-metabolic-enrichment -h
+            To learn more refer to the docummentation:
+                anvi-compute-functional-enrichment -h
         '''
         A = lambda x: self.args.__dict__[x] if x in self.args.__dict__ else None
         output_file_path = A('output_file')
diff --git a/anvio/summaryhtml.py b/anvio/summaryhtml.py
index b51c657bf1..42b7b84c57 100644
--- a/anvio/summaryhtml.py
+++ b/anvio/summaryhtml.py
@@ -128,13 +128,6 @@ def render(self, quick=False):
 
         return rendered
 
-@register.filter(name='get_first_line')
-def get_first_line(string):
-    return string.split('\n')[0]
-
-@register.filter(name='get_first_sentence')
-def get_first_line(string):
-    return string.split('.')[0]
 
 @register.filter(name='lookup')
 def lookup(d, index):
diff --git a/anvio/tables/__init__.py b/anvio/tables/__init__.py
index d5dae18c00..4a26cc2376 100644
--- a/anvio/tables/__init__.py
+++ b/anvio/tables/__init__.py
@@ -15,7 +15,7 @@
 
 
 contigs_db_version = "20"
-profile_db_version = "38"
+profile_db_version = "37"
 genes_db_version = "6"
 pan_db_version = "15"
 auxiliary_data_version = "2"
@@ -23,7 +23,8 @@
 genomes_storage_vesion = "7"
 trnaseq_db_version = "2"
 workflow_config_version = "2"
-metabolic_modules_db_version = "3"
+metabolic_modules_db_version = "2"
+genome_view_db_version = "1"
 
 versions_for_db_types = {'contigs': contigs_db_version,
                          'profile': profile_db_version,
@@ -139,18 +140,6 @@
 gene_level_inseq_stats_table_structure = ['gene_callers_id', 'sample_name', 'mean_coverage', 'insertions', 'insertions_normalized', 'mean_disruption', 'below_disruption', 'gene_coverage_values_per_nt']
 gene_level_inseq_stats_table_types     = [    'numeric'    ,     'text'   ,    'numeric'   ,  'numeric'  ,        'numeric'       ,      'numeric'   ,      'numeric'    ,              'blob'          ]
 
-
-####################################################################################################
-#
-#     ADDITIONAL TABLE DESCRIPTIONS FOR THE TRNASEQ VARIANT OF THE CONTIGS DATABASE
-#
-####################################################################################################
-
-trna_seed_feature_table_name            = 'trna_feature'
-trna_seed_feature_table_structure       = ['gene_callers_id'] + list(itertools.chain(*zip([f + '_start' for f in TRNA_FEATURE_NAMES[: -1]], [f + '_stop' for f in TRNA_FEATURE_NAMES[: -1]]))) + ['alpha_start', 'alpha_stop', 'beta_start', 'beta_stop']
-trna_seed_feature_table_types           = ['gene_callers_id'] + ['str'] * len(TRNA_FEATURE_NAMES[: -1]) * 2                                                                                    + ['numeric'    , 'numeric'   , 'numeric'   , 'numeric']
-
-
 ####################################################################################################
 #
 #     TABLE DESCRIPTIONS FOR THE PROFILE DATABASE
@@ -280,7 +269,7 @@
 #
 ####################################################################################################
 
-module_table_name = "modules"
+module_table_name = "kegg_modules"
 module_table_structure = ['module', 'data_name', 'data_value', 'data_definition', 'line']
 module_table_types     = [ 'str'  ,   'str'    ,     'str'   ,       'str'      ,'numeric' ]
 
@@ -383,7 +372,6 @@
                                   amino_acid_additional_data_table_name: True,
                                   gene_level_coverage_stats_table_name: True,
                                   gene_level_inseq_stats_table_name: True,
-                                  trna_seed_feature_table_name: False,
                                   item_additional_data_table_name: True,
                                   layer_additional_data_table_name: True,
                                   variable_codons_table_name: True,
@@ -416,7 +404,6 @@
                                   gene_info_table_name: False,
                                   genome_gene_function_calls_table_name: True,
                                   pdb_data_table_name: False,
-                                  'kegg_modules': False,        # no longer in use as of modules db v3
                                   module_table_name: False,
                                   pathway_table_name: False,
                                   trnaseq_sequences_table_name: False,
diff --git a/anvio/tables/hmmhits.py b/anvio/tables/hmmhits.py
index b023789347..fa1ff2089e 100644
--- a/anvio/tables/hmmhits.py
+++ b/anvio/tables/hmmhits.py
@@ -21,7 +21,6 @@
 from anvio.dbops import ContigsSuperclass
 from anvio.errors import ConfigError, StupidHMMError
 from anvio.tables.genecalls import TablesForGeneCalls
-from anvio.tables.genefunctions import TableForGeneFunctions
 
 
 __author__ = "Developers of anvi'o (see AUTHORS.txt)"
@@ -41,14 +40,13 @@
 
 class TablesForHMMHits(Table):
     def __init__(self, db_path, num_threads_to_use=1, run=run, progress=progress, initializing_for_deletion=False, just_do_it=False,
-                 hmm_program_to_use='hmmscan', hmmer_output_directory=None, get_domain_table_output=False, add_to_functions_table=False):
+                 hmm_program_to_use='hmmscan', hmmer_output_directory=None, get_domain_table_output=False):
         self.num_threads_to_use = num_threads_to_use
         self.db_path = db_path
         self.just_do_it = just_do_it
         self.hmm_program = hmm_program_to_use or 'hmmscan'
         self.hmmer_output_dir = hmmer_output_directory
         self.hmmer_desired_output = ('table', 'domtable') if get_domain_table_output else 'table'
-        self.add_to_functions_table = add_to_functions_table
 
         utils.is_contigs_db(self.db_path)
         filesnpaths.is_program_exists(self.hmm_program)
@@ -79,42 +77,28 @@ def __init__(self, db_path, num_threads_to_use=1, run=run, progress=progress, in
 
 
     def check_sources(self, sources):
-
-        if self.add_to_functions_table: # check that source is not already in gene_functions table
-            gene_function_sources_in_db = db.DB(self.db_path, utils.get_required_version_for_db(self.db_path)).get_meta_value('gene_function_sources')
-            sources_in_db = set(gene_function_sources_in_db.split(',') if gene_function_sources_in_db else [])
-            sources_need_to_be_removed = set(sources.keys()).intersection(sources_in_db)
-
-            if len(sources_need_to_be_removed):
-                source_string = ', '.join(sources_need_to_be_removed)
-                raise ConfigError("Some of the HMM sources are already in the gene functions table in the database and anvi'o "
-                                  "doesn't want to overwrite them. If YOU want to overwrite them, however, (because you do you, "
-                                  "friend) you can do that by "
-                                  "running `anvi-delete-functions` first, and then re-running this program. Here are the sources "
-                                  f"that you would need to delete: {source_string}")
-        else: # default checks for hmm_hits table
-            sources_in_db = list(hmmops.SequencesForHMMHits(self.db_path).hmm_hits_info.keys())
-
-            if 'Ribosomal_RNAs' in sources_in_db and len([s for s in sources if s.startswith('Ribosomal_RNA_')]):
-                raise ConfigError("Here is one more additional step we need to you take care of before we can go forward: Your contigs database "
-                                  "already contains HMMs from an older `Ribosomal_RNAs` model anvi'o no longer uses AND you are about to run "
-                                  "its newer models that do the same thing (but better). Since Ribosomal RNA models add new gene calls to the "
-                                  "database, running newer models without first cleaning up the old ones will result in duplication of gene calls "
-                                  "as examplified here: https://github.com/merenlab/anvio/issues/1598. Anvi'o could've removed the `Ribosomal_RNAs` "
-                                  "model for you automatically, but the wisdom tells us that the person who passes the sentence should swing the "
-                                  "sword. Here it is for your grace: \"anvi-delete-hmms -c CONTIGS.db --hmm-source Ribosomal_RNAs\".")
-
-            sources_need_to_be_removed = set(sources.keys()).intersection(sources_in_db)
-
-            if len(sources_need_to_be_removed):
-                if self.just_do_it:
-                    for source_name in sources_need_to_be_removed:
-                        self.remove_source(source_name)
-                else:
-                    raise ConfigError("Some of the HMM sources you wish to run on this database are already in the database and anvi'o "
-                                      "refuses to overwrite them without your explicit input. You can either use `anvi-delete-hmms` "
-                                      "to remove them first, or run this program with `--just-do-it` flag so anvi'o would remove all "
-                                      "for you. Here are the list of HMM sources that need to be removed: '%s'." % (', '.join(sources_need_to_be_removed)))
+        sources_in_db = list(hmmops.SequencesForHMMHits(self.db_path).hmm_hits_info.keys())
+
+        if 'Ribosomal_RNAs' in sources_in_db and len([s for s in sources if s.startswith('Ribosomal_RNA_')]):
+            raise ConfigError("Here is one more additional step we need to you take care of before we can go forward: Your contigs database "
+                              "already contains HMMs from an older `Ribosomal_RNAs` model anvi'o no longer uses AND you are about to run "
+                              "its newer models that do the same thing (but better). Since Ribosomal RNA models add new gene calls to the "
+                              "database, running newer models without first cleaning up the old ones will result in duplication of gene calls "
+                              "as examplified here: https://github.com/merenlab/anvio/issues/1598. Anvi'o could've removed the `Ribosomal_RNAs` "
+                              "model for you automatically, but the wisdom tells us that the person who passes the sentence should swing the "
+                              "sword. Here it is for your grace: \"anvi-delete-hmms -c CONTIGS.db --hmm-source Ribosomal_RNAs\".")
+
+        sources_need_to_be_removed = set(sources.keys()).intersection(sources_in_db)
+
+        if len(sources_need_to_be_removed):
+            if self.just_do_it:
+                for source_name in sources_need_to_be_removed:
+                    self.remove_source(source_name)
+            else:
+                raise ConfigError("Some of the HMM sources you wish to run on this database are already in the database and anvi'o "
+                                  "refuses to overwrite them without your explicit input. You can either use `anvi-delete-hmms` "
+                                  "to remove them first, or run this program with `--just-do-it` flag so anvi'o would remove all "
+                                  "for you. Here are the list of HMM sources that need to be removed: '%s'." % (', '.join(sources_need_to_be_removed)))
 
 
     def hmmpress_sources(self, sources, tmp_dir):
@@ -172,11 +156,11 @@ def populate_search_tables(self, sources={}):
             alphabet, context = utils.anvio_hmm_target_term_to_alphabet_and_context(target)
 
             if not self.genes_are_called and context != "CONTIG":
-                raise ConfigError(f"You are in trouble. The gene calling was skipped for this contigs database, yet anvi'o asked to run an "
-                                  f"HMM profile that wishes to operate on {context} context using the {alphabet} alphabet. It is not OK. You "
-                                  f"still could run HMM profiles that does not require gene calls to be present (such as the HMM profile that "
-                                  f"identifies Ribosomal RNAs in contigs, but for that you would have to explicitly ask for it by using the "
-                                  f"additional parameter '--installed-hmm-profile PROFILE_NAME_HERE').")
+                raise ConfigError("You are in trouble. The gene calling was skipped for this contigs database, yet anvi'o asked to run an "
+                                  "HMM profile that wishes to operate on %s context using the %s alphabet. It is not OK. You still could run "
+                                  "HMM profiles that does not require gene calls to be present (such as the HMM profile that identifies Ribosomal "
+                                  "RNAs in contigs, but for that you would have to explicitly ask for it by using the additional parameter "
+                                  "'--installed-hmm-profile PROFILE_NAME_HERE')." % (context, alphabet))
 
             self.run.info('Alphabet/context target found', '%s:%s' % (alphabet, context))
 
@@ -189,28 +173,22 @@ class Args: pass
             contigs_db = ContigsSuperclass(args, r=terminal.Run(verbose=False))
 
             if context == 'GENE':
-                target_file_path = os.path.join(tmp_directory_path, f'{alphabet}_gene_sequences.fa')
-
-                contigs_db.get_sequences_for_gene_callers_ids(output_file_path=target_file_path,
+                target_files_dict['%s:GENE' % alphabet] = os.path.join(tmp_directory_path, '%s_gene_sequences.fa' % alphabet)
+                contigs_db.get_sequences_for_gene_callers_ids(output_file_path=target_files_dict['%s:GENE' % alphabet],
                                                               simple_headers=True,
                                                               rna_alphabet=True if alphabet=='RNA' else False,
                                                               report_aa_sequences=True if alphabet=='AA' else False)
-
-                target_files_dict[f'{alphabet}:GENE'] = target_file_path
             elif context == 'CONTIG':
                 if alphabet == 'AA':
                     raise ConfigError("You are somewhere you shouldn't be. You came here because you thought it would be OK "
                                       "to ask for AA sequences in the CONTIG context. The answer to that is 'no, thanks'. If "
                                       "you think this is dumb, please let us know.")
                 else:
-                    target_file_path = os.path.join(tmp_directory_path, f'{alphabet}_contig_sequences.fa')
-
+                    target_files_dict['%s:CONTIG' % alphabet] = os.path.join(tmp_directory_path, '%s_contig_sequences.fa' % alphabet)
                     utils.export_sequences_from_contigs_db(self.db_path,
-                                                           target_file_path,
+                                                           target_files_dict['%s:CONTIG' % alphabet],
                                                            rna_alphabet=True if alphabet=='RNA' else False)
 
-                    target_files_dict[f'{alphabet}:CONTIG'] = target_file_path
-
         if have_hmm_sources_with_non_RNA_contig_context:
             # in that case, we should remind people what's up.
             self.run.warning("The HMM profiles that are about to be run includes at least one HMM profile that runs on "
@@ -232,10 +210,10 @@ class Args: pass
             alphabet, context = utils.anvio_hmm_target_term_to_alphabet_and_context(sources[source]['target'])
 
             if alphabet in ['DNA', 'RNA'] and 'domtable' in self.hmmer_desired_output:
-                raise ConfigError(f"Domain table output was requested (probably with the --get-domtable-output flag, "
-                                  f"does that look familiar?) but unfortunately this option is incompatible with the "
+                raise ConfigError("Domain table output was requested (probably with the --get-domtable-output flag, "
+                                  "does that look familiar?) but unfortunately this option is incompatible with the "
                                   f"current source of HMM profiles, {source}, because this source uses a nucleotide "
-                                  f"alphabet.")
+                                  "alphabet.")
 
             kind_of_search = sources[source]['kind']
             domain = sources[source]['domain']
@@ -304,10 +282,7 @@ class Args: pass
                                                                                                            search_results_dict,
                                                                                                            skip_amino_acid_sequences=True)
 
-            if self.add_to_functions_table: # add to gene_functions table (upon request)
-                self.append_to_gene_functions_table(source, search_results_dict)
-            else:                           # add to hmm_hits table (default)
-                self.append_to_hmm_hits_table(source, reference, kind_of_search, domain, all_genes_searched_against, search_results_dict)
+            self.append(source, reference, kind_of_search, domain, all_genes_searched_against, search_results_dict)
 
 
         # FIXME: I have no clue why importing the anvio module is necessary at this point,
@@ -424,28 +399,7 @@ def remove_source(self, source):
                         % (len(gene_caller_ids_to_remove), ', '.join(tables_with_gene_callers_id)))
 
 
-    def append_to_gene_functions_table(self, source, search_results_dict):
-        """Append custom HMM hits to the gene functions table in the contigs database."""
-
-        # get an instance of gene functions table
-        gene_function_calls_table = TableForGeneFunctions(self.db_path, self.run, self.progress)
-
-        # first we massage the hmm_hits dictionary to match expected input for the gene_functions table
-        if search_results_dict:
-            for entry_id in search_results_dict:
-                hit = search_results_dict[entry_id]
-                hit['source'] = source
-                hit['accession'] = hit['gene_hmm_id']
-                hit['function'] = hit['gene_name']
-
-            gene_function_calls_table.create(search_results_dict)
-        else:
-            self.run.warning("There are no hits to add to the database. Returning empty handed, "
-                             f"but still adding {source} as a functional source.")
-            gene_function_calls_table.add_empty_sources_to_functional_sources({source})
-
-
-    def append_to_hmm_hits_table(self, source, reference, kind_of_search, domain, all_genes, search_results_dict):
+    def append(self, source, reference, kind_of_search, domain, all_genes, search_results_dict):
         """Append a new HMM source in the contigs database."""
 
         # just to make 100% sure.
diff --git a/anvio/tables/trnahits.py b/anvio/tables/trnahits.py
index 954767d6bf..e2d2bc81f3 100644
--- a/anvio/tables/trnahits.py
+++ b/anvio/tables/trnahits.py
@@ -211,7 +211,7 @@ def populate_search_tables(self, contigs_db_path):
         search_results_dict = tables_for_hmm_hits.add_new_gene_calls_to_contigs_db_and_update_serach_results_dict(self.kind_of_search,
                                                                                                                   search_results_dict,
                                                                                                                   skip_amino_acid_sequences=True)
-        tables_for_hmm_hits.append_to_hmm_hits_table(self.source_name, self.reference, self.kind_of_search, self.domain, self.all_genes_searched_against, search_results_dict)
+        tables_for_hmm_hits.append(self.source_name, self.reference, self.kind_of_search, self.domain, self.all_genes_searched_against, search_results_dict)
 
 
         # when the code comes all the way here, the entries in the search results dict already look like
diff --git a/anvio/taxonomyops/__init__.py b/anvio/taxonomyops/__init__.py
index 89f5edf392..5de3add2bc 100644
--- a/anvio/taxonomyops/__init__.py
+++ b/anvio/taxonomyops/__init__.py
@@ -158,8 +158,7 @@ def __init__(self, skip_init=False):
         self.initialized = False
 
         self.run.info('Contigs DB', self.contigs_db_path)
-        if self.profile_db_path:
-            self.run.info('Profile DB', self.profile_db_path, mc="green")
+        self.run.info('Profile DB', self.profile_db_path)
         self.run.info('Metagenome mode', self.metagenome_mode)
         if self.metagenome_mode:
             self.run.info(f'{self._ITEM} for metagenome', self.item_name_for_metagenome_mode)
@@ -414,11 +413,7 @@ def print_taxonomy_hits_in_splits(self, hits, bin_name=None):
         self.progress.reset()
         self.run.warning(None, header='Hits for %s' % (bin_name if bin_name else "a bunch of splits"), lc="green")
 
-        target = 'gene_name' if self.scgs_focus else 'anticodon'
-
-        if len(hits) == 1 and hits[0][target] == 'CONSENSUS':
-            self.run.info_single("No hits :/")
-        else:
+        if not (len(hits) == 1 and hits[0]['anticodon'] == 'CONSENSUS'):
             if self.scgs_focus:
                 header = [self._ITEM, 'gene', 'pct id', 'taxonomy']
                 field_names = [self._VARIABLE_NAME_IN_TABLE, 'percent_identity', 'gene_callers_id']
@@ -448,6 +443,8 @@ def print_taxonomy_hits_in_splits(self, hits, bin_name=None):
                     table.append([hit[self._VARIABLE_NAME_IN_TABLE], str(hit['amino_acid']), str(hit['gene_callers_id']), str(hit['percent_identity']), taxon_text])
 
             anvio.TABULATE(table, header)
+        else:
+            self.run.info_single("No hits :/")
 
 
     def get_taxonomy_dict(self, gene_caller_ids, bin_name=None):
@@ -667,14 +664,8 @@ def estimate(self):
         if self.per_item_output_file:
             self.store_taxonomy_per_item(items_taxonomy_super_dict)
 
-        if self.sequences_file_path_prefix:
-            self.store_sequences_for_items(items_taxonomy_super_dict)
-
 
     def print_items_taxonomy_super_dict(self, items_taxonomy_super_dict):
-        if anvio.QUIET:
-            return
-
         self.progress.reset()
 
         if self.collection_name:
@@ -782,47 +773,6 @@ def store_items_taxonomy_super_dict(self, items_taxonomy_super_dict):
         self.run.info("Output file", self.output_file_path, nl_before=1)
 
 
-    def store_sequences_for_items(self, items_taxonomy_super_dict):
-        """Report sequences for items if possible"""
-
-        if self.ctx.focus != 'scgs':
-            raise ConfigError("This function is only tested in SCGs mode. If you need to report "
-                              "sequences for taxonomy items reported in other foci, please get in "
-                              "touch with anvi'o developers.")
-
-        if not self.scg_name_for_metagenome_mode:
-            raise ConfigError("You can't ask anvi'o to store seqeunces for SCGs unless you are "
-                              "working with a specific SCG name :(")
-
-        d = self.get_print_friendly_items_taxonomy_super_dict(items_taxonomy_super_dict)
-
-        c = ContigsSuperclass(self.args, r=run_quiet)
-
-        gene_caller_ids = [v['gene_callers_id'] for v in d.values()]
-
-        gene_caller_ids_list, sequences_dict = c.get_sequences_for_gene_callers_ids(gene_caller_ids, include_aa_sequences=True)
-        if not len(gene_caller_ids_list):
-            raise ConfigError("Something that should have never happened, happened :/ Please re-run the same command with "
-                              "`--debug` and send the Traceback to an anvi'o developer.")
-
-        dna_sequences_output_file_path = self.sequences_file_path_prefix + '_DNA.fa'
-        amino_acid_sequences_output_file_path = self.sequences_file_path_prefix + '_AA.fa'
-
-        contigs_db_name = c.a_meta['project_name']
-
-        with open(amino_acid_sequences_output_file_path, 'w') as aa_sequences_output, open(dna_sequences_output_file_path, 'w') as dna_sequences_output:
-            for entry in d.values():
-                header = f"{contigs_db_name}_{entry['gene_name']}_{entry['gene_callers_id']}"
-                dna_sequence = sequences_dict[entry['gene_callers_id']]['sequence']
-                amino_acid_sequence = sequences_dict[entry['gene_callers_id']]['aa_sequence']
-
-                aa_sequences_output.write(f">{header}\n{amino_acid_sequence}\n")
-                dna_sequences_output.write(f">{header}\n{dna_sequence}\n")
-
-        self.run.info("DNA sequences for SCGs", dna_sequences_output_file_path, nl_before=1)
-        self.run.info("AA sequences for SCGs", amino_acid_sequences_output_file_path)
-
-
     def store_taxonomy_per_item(self, items_taxonomy_super_dict):
         if self.scgs_focus:
             headers = ['bin_name', 'gene_name', 'percent_identity']
@@ -852,14 +802,11 @@ def store_taxonomy_per_item(self, items_taxonomy_super_dict):
 
 
     def get_print_friendly_items_taxonomy_super_dict(self, items_taxonomy_super_dict):
-        contigs_db_name = anvio.dbops.ContigsDatabase(self.contigs_db_path).meta['project_name_str']
-
         d = {}
 
         if self.metagenome_mode:
             for item_hit in items_taxonomy_super_dict['taxonomy'][self.contigs_db_project_name][self._ITEMS.lower()].values():
-                item_hit_name = '%s_%s_%d' % (contigs_db_name, item_hit[self._VARIABLE_NAME_IN_TABLE], item_hit['gene_callers_id'])
-
+                item_hit_name = '%s_%d' % (item_hit[self._VARIABLE_NAME_IN_TABLE], item_hit['gene_callers_id'])
                 d[item_hit_name] = item_hit
 
                 if self.compute_item_coverages:
diff --git a/anvio/taxonomyops/scg.py b/anvio/taxonomyops/scg.py
index 825da359b4..b69170673d 100644
--- a/anvio/taxonomyops/scg.py
+++ b/anvio/taxonomyops/scg.py
@@ -19,7 +19,7 @@
 import anvio.filesnpaths as filesnpaths
 
 from anvio.errors import ConfigError
-from anvio.dbops import ContigsDatabase, ContigsSuperclass
+from anvio.dbops import ContigsDatabase
 from anvio.drivers.diamond import Diamond
 from anvio.genomedescriptions import MetagenomeDescriptions
 
@@ -211,9 +211,6 @@ def sanity_check(self):
                 if self.output_file_path:
                     filesnpaths.is_output_file_writable(self.output_file_path)
 
-                if self.sequences_file_path_prefix:
-                    filesnpaths.is_output_file_writable(self.sequences_file_path_prefix)
-
                 if self.raw_output or self.matrix_format:
                     raise ConfigError("Haha in this mode you can't ask for the raw output or matrix format .. yet (we know that "
                                       "the parameter space of this program is like a mine field and we are very upset about it "
@@ -334,7 +331,6 @@ class is nothing but one that iterates through all metagenomes
 
         A = lambda x: args.__dict__[x] if x in args.__dict__ else None
         self.output_file_path = A('output_file')
-        self.sequences_file_path_prefix = A('report_scg_sequences_file_prefix')
         self.per_scg_output_file = A('per_scg_output_file')
         self.all_hits_output_file_path = A('all_hits_output_file')
         self.output_file_prefix = A('output_file_prefix')
@@ -354,7 +350,6 @@ class is nothing but one that iterates through all metagenomes
             # very cute. we shall make that happen.
             self.metagenomes = None
             self.output_file_path = None
-            self.sequences_file_path_prefix = None
             self.output_file_prefix = None
             self.matrix_format = None
             self.raw_output = None
@@ -466,70 +461,9 @@ def estimate(self):
 
         scg_taxonomy_super_dict_multi = self.get_scg_taxonomy_super_dict_for_metagenomes()
 
-        if self.sequences_file_path_prefix:
-            self.store_sequences_for_items_multi(scg_taxonomy_super_dict_multi)
-
         self.store_scg_taxonomy_super_dict_multi(scg_taxonomy_super_dict_multi)
 
 
-    def store_sequences_for_items_multi(self, scg_taxonomy_super_dict_multi):
-        """Report sequences for items if possible"""
-
-        if self.ctx.focus != 'scgs':
-            raise ConfigError("This function is only tested in SCGs mode. If you need to report "
-                              "sequences for taxonomy items reported in other foci, please get in "
-                              "touch with anvi'o developers.")
-
-        if not self.scg_name_for_metagenome_mode:
-            raise ConfigError("You can't ask anvi'o to store sequences for SCGs unless you are "
-                              "working with a specific SCG name :(")
-
-        d = self.get_print_friendly_scg_taxonomy_super_dict_multi(scg_taxonomy_super_dict_multi)
-
-        import argparse
-
-        dna_sequences_output_file_path = self.sequences_file_path_prefix + '_DNA.fa'
-        amino_acid_sequences_output_file_path = self.sequences_file_path_prefix + '_AA.fa'
-
-        if self.just_do_it:
-            pass
-        elif os.path.exists(dna_sequences_output_file_path) or os.path.exists(amino_acid_sequences_output_file_path):
-            raise ConfigError(f"Anvi'o has detected you already have files {dna_sequences_output_file_path} or {amino_acid_sequences_output_file_path} "
-                               "and does not want to overwrite them. If you do want to overwrite them, then run the `--just-do-it` flag.")
-
-        aa_sequences_output = open(amino_acid_sequences_output_file_path,'w')
-        dna_sequences_output = open(dna_sequences_output_file_path,'w')
-
-        for metagenome_name, v in d.items():
-            contigs_db_path = self.metagenomes[metagenome_name]['contigs_db_path']
-
-            args_for_contigsDB = argparse.Namespace()
-            args_for_contigsDB.contigs_db = contigs_db_path
-            c = ContigsSuperclass(args_for_contigsDB, r=run_quiet)
-
-            gene_caller_ids = [values['gene_callers_id'] for values in v.values()]
-
-            gene_caller_ids_list, sequences_dict = c.get_sequences_for_gene_callers_ids(gene_caller_ids, include_aa_sequences=True)
-
-            if not len(gene_caller_ids_list):
-                raise ConfigError("Something that should have never happened, happened :/ Please re-run the same command with "
-                                  "`--debug` and send the Traceback to an anvi'o developer.")
-
-
-            contigs_db_name = c.a_meta['project_name_str']
-
-            with open(amino_acid_sequences_output_file_path, 'a+') as aa_sequences_output, open(dna_sequences_output_file_path, 'a+') as dna_sequences_output:
-                for header, entry in d[metagenome_name].items():
-                    dna_sequence = sequences_dict[entry['gene_callers_id']]['sequence']
-                    amino_acid_sequence = sequences_dict[entry['gene_callers_id']]['aa_sequence']
-
-                    aa_sequences_output.write(f">{header}\n{amino_acid_sequence}\n")
-                    dna_sequences_output.write(f">{header}\n{dna_sequence}\n")
-
-        self.run.info("DNA sequences for SCGs", dna_sequences_output_file_path, nl_before=1)
-        self.run.info("AA sequences for SCGs", amino_acid_sequences_output_file_path)
-
-
     def get_print_friendly_scg_taxonomy_super_dict_multi(self, scg_taxonomy_super_dict_multi, as_data_frame=False):
         """Extract a more print-friendly data structure from `scg_taxonomy_super_dict_multi`
 
@@ -589,7 +523,6 @@ def get_print_friendly_scg_taxonomy_super_dict_multi(self, scg_taxonomy_super_di
         for metagenome_name in scg_taxonomy_super_dict_multi:
             args = SCGTaxonomyArgs(self.args, format_args_for_single_estimator=True)
             args.contigs_db = self.metagenomes[metagenome_name]['contigs_db_path']
-            args.name = metagenome_name
 
             if self.metagenome_mode:
                 args.metagenome_mode = True
@@ -782,7 +715,7 @@ def store_scg_taxonomy_super_dict_raw(self, scg_taxonomy_super_dict_multi):
 
         taxonomic_levels = [self.user_taxonomic_level] if self.user_taxonomic_level else self.ctx.levels_of_taxonomy
 
-        header = ['identifier', 'metagenome_name', 'gene_name', 'gene_callers_id', 'percent_identity']
+        header = ['metagenome_name', 'gene_name', 'gene_callers_id', 'percent_identity']
 
         if self.compute_scg_coverages:
             header += ['coverage']
@@ -795,7 +728,7 @@ def store_scg_taxonomy_super_dict_raw(self, scg_taxonomy_super_dict_multi):
 
             for metagenome_name in d:
                 for gene_name in d[metagenome_name]:
-                    output.write('\t'.join([gene_name] + [metagenome_name] + [str(d[metagenome_name][gene_name][h]) for h in header[2:]]) + '\n')
+                    output.write('\t'.join([metagenome_name] + [str(d[metagenome_name][gene_name][h]) for h in header[1:]]) + '\n')
 
         self.run.info("Raw output", output_file_path)
 
@@ -1011,7 +944,6 @@ def __init__(self, args, run=terminal.Run(), progress=terminal.Progress(), skip_
         self.collection_name = A('collection_name')
         self.update_profile_db_with_taxonomy = A('update_profile_db_with_taxonomy')
         self.bin_id = A('bin_id')
-        self.name = A('name')
 
         SCGTaxonomyArgs.__init__(self, self.args)
 
@@ -1320,7 +1252,7 @@ def __init__(self, args, run=terminal.Run(), progress=terminal.Progress()):
 
         self.ctx = ctx
 
-        self.max_target_seqs = int(A('max_num_target_sequences')) if A('max_num_target_sequences') else 20
+        self.max_target_seqs = int(A('max_num_target_sequences')) or 20
         self.evalue = float(A('e_value')) if A('e_value') else 1e-05
         self.min_pct_id = float(A('min_percent_identity')) if A('min_percent_identity') else 90
 
diff --git a/anvio/tests/run_component_tests_for_metagenomics.sh b/anvio/tests/run_all_tests.sh
similarity index 97%
rename from anvio/tests/run_component_tests_for_metagenomics.sh
rename to anvio/tests/run_all_tests.sh
index 58ad353388..9ae89f0d8f 100755
--- a/anvio/tests/run_component_tests_for_metagenomics.sh
+++ b/anvio/tests/run_all_tests.sh
@@ -5,6 +5,15 @@ source 00.sh
 SETUP_WITH_OUTPUT_DIR $1 $2
 #####################################
 
+INFO "Initializing raw BAM files"
+# init raw bam files.
+for f in 01 02 03
+do
+    anvi-init-bam $files/SAMPLE-$f-RAW.bam \
+                  --output-file $output_dir/SAMPLE-$f.bam
+    echo
+done
+
 INFO "Reformat the contigs FASTA"
 anvi-script-reformat-fasta $files/contigs.fa -o $output_dir/contigs.fa \
                                              -l 0 \
@@ -33,37 +42,6 @@ anvi-gen-contigs-database -f $files/contigs.fa \
 INFO "Displaying the info for the contigs databse"
 anvi-db-info $output_dir/CONTIGS.db
 
-INFO "Searching for palindromes in a DNA sequence"
-anvi-search-palindromes --dna-sequence TGTGAGTAGCTGCGGCGTCCGCGACCGGCGGGCGGCATGCATTGACGACACGCTCCGGGCCGCTCAGGCCAAGTCTTTACGGTCTTACAACGCATGCCGCCCACCGGTCGCTCGTAGGTGCGGAAAAGTTATTTGAGATAA \
-                        --max-num-mismatches 2
-
-INFO "Searching for palindromes in a FASTA file"
-anvi-search-palindromes -f $output_dir/contigs.fa \
-                        --max-num-mismatches 2 \
-                        --min-palindrome-length 20 \
-                        --blast-word-size 10 \
-                        --output-file $output_dir/PALINDROMES-IN-FASTA.txt
-SHOW_FILE $output_dir/PALINDROMES-IN-FASTA.txt
-
-INFO "Searching for palindromes in a contigs database"
-anvi-search-palindromes -c $output_dir/CONTIGS.db \
-                        --max-num-mismatches 2 \
-                        --min-palindrome-length 20 \
-                        --blast-word-size 10 \
-                        --output-file $output_dir/PALINDROMES-IN-CONTIGS-DB.txt
-SHOW_FILE $output_dir/PALINDROMES-IN-CONTIGS-DB.txt
-
-
-INFO "Initializing raw BAM files"
-# init raw bam files.
-for f in 01 02 03
-do
-    anvi-init-bam $files/SAMPLE-$f-RAW.bam \
-                  --output-file $output_dir/SAMPLE-$f.bam
-    echo
-done
-
-
 INFO "Rapid profiling of BAM files with anvi-profile blitz in gene mode"
 anvi-profile-blitz $output_dir/*bam \
                    -c $output_dir/CONTIGS.db \
@@ -337,10 +315,6 @@ anvi-get-split-coverages -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                          --flank-length 20
 SHOW_FILE $output_dir/gene_caller_id_5_coverages.txt
 
-INFO "Cluster matrix with missing data"
-anvi-matrix-to-newick $files/example_matrix_with_missing_data.txt \
-                      -o $output_dir/newick_tree_for_matrix_with_missing_data.txt
-
 INFO "Cluster contigs in the newly generated coverages file"
 anvi-matrix-to-newick $output_dir/SAMPLES-MERGED/SAMPLES_MERGED-COVs.txt
 
diff --git a/anvio/tests/run_component_tests_for_alons_classifier.sh b/anvio/tests/run_alons_classifier_tests.sh
similarity index 100%
rename from anvio/tests/run_component_tests_for_alons_classifier.sh
rename to anvio/tests/run_alons_classifier_tests.sh
diff --git a/anvio/tests/run_component_tests_for_export_locus.sh b/anvio/tests/run_component_tests_for_export_locus.sh
deleted file mode 100755
index 9aa8ba399d..0000000000
--- a/anvio/tests/run_component_tests_for_export_locus.sh
+++ /dev/null
@@ -1,27 +0,0 @@
-
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-INFO "Setting up the anvi-export-locus test directory"
-mkdir $output_dir/export_locus_test
-cp $files/data/genomes/bacteria/*.db                    $output_dir/export_locus_test
-cp $files/data/genomes/archaea/*.db                     $output_dir/export_locus_test
-cp $files/data/metagenomes/human_gut/IGD_SUBSET/*.db    $output_dir/export_locus_test
-cp $files/data/input_files/*.txt                        $output_dir/export_locus_test
-
-cd $output_dir/export_locus_test
-
-mkdir test
-
-INFO "Running anvi-export-locus in default-mode"
-anvi-export-locus -c CONTIGS.db --gene-caller-id 68 -n 7,7 -o test/ -O metagenome_68
-
-INFO "Running anvi-export-locus in flank-mode with premature contig end"
-anvi-export-locus -c CONTIGS.db --gene-caller-id 8616 -o test/ -n 7,30 -O metagenome_premature 
-
-INFO "Running anvi-export-locus in flank-mode"
-anvi-export-locus -c CONTIGS.db --gene-caller-id 68,78 -o test/ -O metagenome_68_78 --flank-mode
\ No newline at end of file
diff --git a/anvio/tests/run_component_tests_for_metabolism.sh b/anvio/tests/run_component_tests_for_metabolism.sh
deleted file mode 100755
index 4ce0717977..0000000000
--- a/anvio/tests/run_component_tests_for_metabolism.sh
+++ /dev/null
@@ -1,195 +0,0 @@
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-INFO "Setting up the metabolism test directory"
-mkdir $output_dir/metabolism_test
-cp $files/data/genomes/bacteria/*.db                    $output_dir/metabolism_test
-cp $files/data/genomes/archaea/*.db                     $output_dir/metabolism_test
-cp $files/data/metagenomes/human_gut/IGD_SUBSET/*.db    $output_dir/metabolism_test
-cp $files/data/input_files/*.txt                        $output_dir/metabolism_test
-cd $output_dir/metabolism_test
-
-INFO "Migrating all databases"
-anvi-migrate *db --migrate-dbs-quickly
-
-
-INFO "Estimating metabolism on a single contigs database"
-anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db \
-                         -O single_contigs_db
-SHOW_FILE single_contigs_db_modules.txt
-
-INFO "Estimating metabolism using metagenome mode"
-anvi-estimate-metabolism -c CONTIGS.db \
-                         --metagenome-mode \
-                         -O metagenome_mode
-SHOW_FILE metagenome_mode_modules.txt
-
-INFO "Estimating metabolism on a collection"
-anvi-estimate-metabolism -c CONTIGS.db \
-                         -p PROFILE.db \
-                         -C bins_for_testing \
-                         -O collection
-SHOW_FILE collection_modules.txt
-
-INFO "Estimating metabolism on a single bin in a collection"
-anvi-estimate-metabolism -c CONTIGS.db \
-                         -p PROFILE.db \
-                         -C bins_for_testing \
-                         -b E_facealis \
-                         -O single_bin
-SHOW_FILE single_bin_modules.txt
-
-INFO "Estimating metabolism using a bin IDs file"
-anvi-estimate-metabolism -c CONTIGS.db \
-                         -p PROFILE.db \
-                         -C bins_for_testing \
-                         -B bin-ids.txt \
-                         -O bin_ids_file
-SHOW_FILE bin_ids_file_modules.txt
-
-INFO "Estimating metabolism on external genomes"
-anvi-estimate-metabolism -e external-genomes.txt \
-                         -O external
-SHOW_FILE external_modules.txt
-
-INFO "Estimating metabolism on internal genomes"
-anvi-estimate-metabolism -i internal-genomes.txt \
-                         -O internal
-SHOW_FILE internal_modules.txt
-
-INFO "Estimating metabolism on metagenomes file"
-anvi-estimate-metabolism -M metagenomes.txt \
-                         -O metagenomes
-SHOW_FILE metagenomes_modules.txt
-
-INFO "Trying a different module completeness threshold"
-anvi-estimate-metabolism -c P_marinus_CCMP1375.db \
-                         --module-completion-threshold 0 \
-                         -O nondefault_threshold
-SHOW_FILE nondefault_threshold_modules.txt
-
-INFO "Listing output modes for single database"
-anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db \
-                         --list-available-modes
-
-
-INFO "Listing output modes for multi mode"
-anvi-estimate-metabolism -e external-genomes.txt \
-                         --list-available-modes
-
-INFO "Listing custom output headers for single database"
-anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db \
-                         --list-available-output-headers
-
-INFO "Listing custom output headers for multi mode"
-anvi-estimate-metabolism -e external-genomes.txt \
-                         --list-available-output-headers
-
-INFO "Generating long format output files on single database"
-anvi-estimate-metabolism -c P_marinus_CCMP1375.db \
-                         --output-modes hits,modules,hits_in_modules,modules_custom \
-                         --custom-output-headers module,module_is_complete,module_name \
-                         -O long_format_single
-SHOW_FILE long_format_single_hits.txt
-SHOW_FILE long_format_single_modules.txt
-SHOW_FILE long_format_single_hits_in_modules.txt
-SHOW_FILE long_format_single_modules_custom.txt
-
-INFO "Generating long format output files in multi mode"
-anvi-estimate-metabolism -e external-genomes.txt \
-                         --output-modes hits,modules,hits_in_modules \
-                         -O long_format_multi
-SHOW_FILE long_format_multi_hits.txt
-SHOW_FILE long_format_multi_modules.txt
-SHOW_FILE long_format_multi_hits_in_modules.txt
-
-# below we try every single header for modules_custom mode
-INFO "Generating modules custom output file on single database"
-anvi-estimate-metabolism -c P_marinus_CCMP1375.db \
-                         --output-modes modules_custom \
-                         -O modules_custom_single \
-                         --custom-output-headers module,module_is_complete,module_completeness,module_name,module_class,module_category,module_subcategory,module_definition,gene_caller_ids_in_module,gene_caller_id,enzyme_hits_in_module,enzyme_hit,contig,path_id,path,path_completeness,genome_name,enzymes_unique_to_module,unique_enzymes_hit_counts,proportion_unique_enzymes_present,unique_enzymes_context_string,module_substrates,module_products,module_intermediates,warnings
-SHOW_FILE modules_custom_single_modules_custom.txt
-
-INFO "Generating modules custom output file in multi mode"
-anvi-estimate-metabolism -e external-genomes.txt \
-                         --output-modes modules_custom \
-                         -O modules_custom_multi \
-                         --custom-output-headers module,module_is_complete,module_completeness,module_name,module_class,module_category,module_subcategory,module_definition,gene_caller_ids_in_module,gene_caller_id,enzyme_hits_in_module,enzyme_hit,contig,path_id,path,path_completeness,genome_name,enzymes_unique_to_module,unique_enzymes_hit_counts,proportion_unique_enzymes_present,unique_enzymes_context_string,module_substrates,module_products,module_intermediates,warnings,db_name
-SHOW_FILE modules_custom_multi_modules_custom.txt
-
-INFO "Generating matrix output files in multi mode"
-anvi-estimate-metabolism -e external-genomes.txt \
-                         --matrix-format \
-                         -O matrix_format_multi
-SHOW_FILE matrix_format_multi-completeness-MATRIX.txt
-SHOW_FILE matrix_format_multi-presence-MATRIX.txt
-SHOW_FILE matrix_format_multi-enzyme_hits-MATRIX.txt
-
-INFO "Generating JSON output (debug option)"
-anvi-estimate-metabolism -c S_islandicus_LS215.db \
-                         --get-raw-data-as-json estimation_data \
-                         --store-json-without-estimation
-
-INFO "Estimating from JSON output (debug option)"
-anvi-estimate-metabolism --estimate-from-json estimation_data.json \
-                         -O from_json
-
-INFO "Testing --add-coverage for genome mode"
-anvi-estimate-metabolism -c CONTIGS.db \
-                         -p PROFILE.db \
-                         -O genome_coverage \
-                         --add-coverage \
-                         --output-modes modules,hits_in_modules
-SHOW_FILE genome_coverage_modules.txt
-SHOW_FILE genome_coverage_hits_in_modules.txt
-
-INFO "Testing --add-coverage flag for a collection"
-anvi-estimate-metabolism -c CONTIGS.db \
-                         -p PROFILE.db \
-                         -C bins_for_testing \
-                         -O collection_coverage \
-                         --add-coverage \
-                         --output-modes modules,hits_in_modules
-SHOW_FILE collection_coverage_modules.txt
-
-INFO "Testing --add-coverage for metagenome mode"
-anvi-estimate-metabolism -c CONTIGS.db \
-                         -p PROFILE.db \
-                         --metagenome-mode \
-                         -O metagenome_coverage \
-                         --add-coverage \
-                         --output-modes modules,hits_in_modules
-
-INFO "Listing custom output headers with --add-coverage enabled"
-anvi-estimate-metabolism -c CONTIGS.db \
-                         -p PROFILE.db \
-                         --add-coverage \
-                         --list-available-output-headers
-
-INFO "Generating custom output with --add-coverage enabled"
-anvi-estimate-metabolism -c CONTIGS.db \
-                         -p PROFILE.db \
-                         --add-coverage \
-                         --output-modes modules_custom \
-                         -O modules_custom_coverage \
-                         --custom-output-headers module,module_is_complete,DAY_15A_gene_coverages,DAY_15A_avg_coverage,DAY_15A_gene_detection,DAY_15A_avg_detection
-
-INFO "Testing enzymes txt input (no coverage/detection)"
-anvi-estimate-metabolism --enzymes-txt minimal_enzymes_input.txt \
-                         -O enzymes_txt \
-                         --output-modes hits,hits_in_modules,modules
-SHOW_FILE enzymes_txt_modules.txt
-SHOW_FILE enzymes_txt_hits.txt
-
-INFO "Testing enzymes txt input (--add-coverage enabled)"
-anvi-estimate-metabolism --enzymes-txt cov_det_enzymes_input.txt \
-                          -O enzymes_txt_cov \
-                          --add-coverage \
-                          --output-modes hits,hits_in_modules,modules
-SHOW_FILE enzymes_txt_cov_modules.txt
-SHOW_FILE enzymes_txt_cov_hits.txt
diff --git a/anvio/tests/run_workflow_tests_for_contigs.sh b/anvio/tests/run_contigs_workflow_tests.sh
similarity index 100%
rename from anvio/tests/run_workflow_tests_for_contigs.sh
rename to anvio/tests/run_contigs_workflow_tests.sh
diff --git a/anvio/tests/run_component_tests_for_display_functions.sh b/anvio/tests/run_display_functions_tests.sh
similarity index 100%
rename from anvio/tests/run_component_tests_for_display_functions.sh
rename to anvio/tests/run_display_functions_tests.sh
diff --git a/anvio/tests/run_component_tests_for_gene_level_stats.sh b/anvio/tests/run_gen_gene_level_stats_tests.sh
similarity index 94%
rename from anvio/tests/run_component_tests_for_gene_level_stats.sh
rename to anvio/tests/run_gen_gene_level_stats_tests.sh
index 02112b7be2..f2a61df2fe 100755
--- a/anvio/tests/run_component_tests_for_gene_level_stats.sh
+++ b/anvio/tests/run_gen_gene_level_stats_tests.sh
@@ -12,9 +12,6 @@ cp $inseq_files/CONTIGS.db $output_dir/CONTIGS.db
 cp $inseq_files/PROFILE.db $output_dir/PROFILE.db
 cp $inseq_files/AUXILIARY-DATA.db $output_dir/AUXILIARY-DATA.db
 
-INFO "Migrate all dbs"
-anvi-migrate $output_dir/*db --migrate-dbs-quickly
-
 # Generate gene-level-stats database
 INFO "Computing gene level stats database"
 anvi-gen-gene-level-stats-databases -p $output_dir/PROFILE.db \
diff --git a/anvio/tests/run_component_tests_for_indels.sh b/anvio/tests/run_indel_test.sh
similarity index 97%
rename from anvio/tests/run_component_tests_for_indels.sh
rename to anvio/tests/run_indel_test.sh
index 3aa4495f8d..0774431aae 100755
--- a/anvio/tests/run_component_tests_for_indels.sh
+++ b/anvio/tests/run_indel_test.sh
@@ -66,8 +66,8 @@ anvi-profile -i test-output/large/sample_T300del.bam     -c test-output/large/co
 anvi-profile -i test-output/large/sample_norm_on_del.bam -c test-output/large/contig_T300del.db -o test-output/large/sample-PROFILE_norm_on_del -M 0 --cluster-contigs
 
 INFO "Profiling the BAM files"
-anvi-merge test-output/large/sample-PROFILE/PROFILE.db test-output/large/sample-PROFILE_del_on_norm/PROFILE.db -c test-output/large/contig.db -o test-output/large/MERGED
-anvi-merge test-output/large/sample-PROFILE_T300del/PROFILE.db test-output/large/sample-PROFILE_norm_on_del/PROFILE.db -c test-output/large/contig_T300del.db -o test-output/large/MERGED_T300del
+anvi-merge test-output/large/sample-PROFILE/PROFILE.db test-output/large/sample-PROFILE_del_on_norm/PROFILE.db -c test-output/large/contig.db -o test-output/large/MERGED --skip-concoct-binning
+anvi-merge test-output/large/sample-PROFILE_T300del/PROFILE.db test-output/large/sample-PROFILE_norm_on_del/PROFILE.db -c test-output/large/contig_T300del.db -o test-output/large/MERGED_T300del --skip-concoct-binning
 
 INFO "Visualizing the profile"
 anvi-interactive -c test-output/large/contig.db -p test-output/large/MERGED/PROFILE.db
diff --git a/anvio/tests/run_component_tests_for_manual_interactive.sh b/anvio/tests/run_manual_interactive.sh
similarity index 100%
rename from anvio/tests/run_component_tests_for_manual_interactive.sh
rename to anvio/tests/run_manual_interactive.sh
diff --git a/anvio/tests/run_metabolism_tests.sh b/anvio/tests/run_metabolism_tests.sh
new file mode 100755
index 0000000000..63b26adcf5
--- /dev/null
+++ b/anvio/tests/run_metabolism_tests.sh
@@ -0,0 +1,93 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+INFO "Setting up the metabolism test directory"
+mkdir $output_dir/metabolism_test
+cp $files/data/genomes/bacteria/*.db                    $output_dir/metabolism_test
+cp $files/data/genomes/archaea/*.db                     $output_dir/metabolism_test
+cp $files/data/metagenomes/human_gut/IGD_SUBSET/*.db    $output_dir/metabolism_test
+cp $files/data/input_files/*.txt                        $output_dir/metabolism_test
+cd $output_dir/metabolism_test
+
+INFO "Estimating metabolism on a single contigs database"
+anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db -O single_contigs_db
+
+INFO "Estimating metabolism using metagenome mode"
+anvi-estimate-metabolism -c CONTIGS.db --metagenome-mode -O metagenome_mode
+
+INFO "Estimating metabolism on a collection"
+anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db -C bins_for_testing -O collection
+
+INFO "Estimating metabolism on a single bin in a collection"
+anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db -C bins_for_testing -b E_facealis -O single_bin
+
+INFO "Estimating metabolism using a bin IDs file"
+anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db -C bins_for_testing -B bin-ids.txt -O bin_ids_file
+
+INFO "Estimating metabolism on external genomes"
+anvi-estimate-metabolism -e external-genomes.txt -O external
+
+INFO "Estimating metabolism on internal genomes"
+anvi-estimate-metabolism -i internal-genomes.txt -O internal
+
+INFO "Estimating metabolism on metagenomes file"
+anvi-estimate-metabolism -M metagenomes.txt -O metagenomes
+
+INFO "Trying a different module completeness threshold"
+anvi-estimate-metabolism -c P_marinus_CCMP1375.db --module-completion-threshold 0 -O nondefault_threshold
+
+INFO "Listing output modes for single database"
+anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db --list-available-modes
+
+INFO "Listing output modes for multi mode"
+anvi-estimate-metabolism -e external-genomes.txt --list-available-modes
+
+INFO "Listing custom output headers for single database"
+anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db --list-available-output-headers
+
+INFO "Listing custom output headers for multi mode"
+anvi-estimate-metabolism -e external-genomes.txt --list-available-output-headers
+
+INFO "Generating long format output files on single database"
+anvi-estimate-metabolism -c P_marinus_CCMP1375.db --kegg-output-modes kofam_hits,modules,kofam_hits_in_modules,modules_custom --custom-output-headers kegg_module,module_is_complete,module_name -O long_format_single
+
+INFO "Generating long format output files in multi mode"
+anvi-estimate-metabolism -e external-genomes.txt --kegg-output-modes kofam_hits,modules,kofam_hits_in_modules -O long_format_multi
+
+# below we try every single header for modules_custom mode
+INFO "Generating modules custom output file on single database"
+anvi-estimate-metabolism -c P_marinus_CCMP1375.db --kegg-output-modes modules_custom -O modules_custom_single \
+    --custom-output-headers kegg_module,module_is_complete,module_completeness,module_name,module_class,module_category,module_subcategory,module_definition,gene_caller_ids_in_module,gene_caller_id,kofam_hits_in_module,kofam_hit,contig,path_id,path,path_completeness,genome_name
+
+INFO "Generating modules custom output file in multi mode"
+anvi-estimate-metabolism -e external-genomes.txt --kegg-output-modes modules_custom -O modules_custom_multi \
+    --custom-output-headers kegg_module,module_is_complete,module_completeness,module_name,module_class,module_category,module_subcategory,module_definition,gene_caller_ids_in_module,gene_caller_id,kofam_hits_in_module,kofam_hit,contig,path_id,path,path_completeness,genome_name,db_name
+
+INFO "Generating matrix output files in multi mode"
+anvi-estimate-metabolism -e external-genomes.txt --matrix-format -O matrix_format_multi
+
+INFO "Generating JSON output (debug option)"
+anvi-estimate-metabolism -c S_islandicus_LS215.db --get-raw-data-as-json estimation_data --store-json-without-estimation
+
+INFO "Estimating from JSON output (debug option)"
+anvi-estimate-metabolism --estimate-from-json estimation_data.json -O from_json
+
+INFO "Testing --add-coverage for genome mode"
+anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db -O genome_coverage --add-coverage --kegg-output-modes modules,kofam_hits_in_modules
+
+INFO "Testing --add-coverage flag for a collection"
+anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db -C bins_for_testing -O collection_coverage --add-coverage --kegg-output-modes modules,kofam_hits_in_modules
+
+INFO "Testing --add-coverage for metagenome mode"
+anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db --metagenome-mode -O metagenome_coverage --add-coverage --kegg-output-modes modules,kofam_hits_in_modules
+
+INFO "Listing custom output headers with --add-coverage enabled"
+anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db --add-coverage --list-available-output-headers
+
+INFO "Generating custom output with --add-coverage enabled"
+anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db --add-coverage --kegg-output-modes modules_custom -O modules_custom_coverage \
+    --custom-output-headers kegg_module,module_is_complete,DAY_15A_gene_coverages,DAY_15A_avg_coverage,DAY_15A_gene_detection,DAY_15A_avg_detection
diff --git a/anvio/tests/run_workflow_tests_for_metagenomics.sh b/anvio/tests/run_metagenomics_workflow_tests.sh
similarity index 100%
rename from anvio/tests/run_workflow_tests_for_metagenomics.sh
rename to anvio/tests/run_metagenomics_workflow_tests.sh
diff --git a/anvio/tests/run_workflow_tests_for_metapangenomics.sh b/anvio/tests/run_metapangenomics_workflow_tests.sh
similarity index 100%
rename from anvio/tests/run_workflow_tests_for_metapangenomics.sh
rename to anvio/tests/run_metapangenomics_workflow_tests.sh
diff --git a/anvio/tests/run_component_tests_for_minimal_metagenomics.sh b/anvio/tests/run_mini_test.sh
similarity index 100%
rename from anvio/tests/run_component_tests_for_minimal_metagenomics.sh
rename to anvio/tests/run_mini_test.sh
diff --git a/anvio/tests/run_component_tests_for_pangenomics.sh b/anvio/tests/run_pangenome_tests.sh
similarity index 100%
rename from anvio/tests/run_component_tests_for_pangenomics.sh
rename to anvio/tests/run_pangenome_tests.sh
diff --git a/anvio/tests/run_workflow_tests_for_pangenomics.sh b/anvio/tests/run_pangenomics_workflow_tests.sh
similarity index 100%
rename from anvio/tests/run_workflow_tests_for_pangenomics.sh
rename to anvio/tests/run_pangenomics_workflow_tests.sh
diff --git a/anvio/tests/run_workflow_tests_for_phylogenomics.sh b/anvio/tests/run_phylogenomics_workflow_tests.sh
similarity index 100%
rename from anvio/tests/run_workflow_tests_for_phylogenomics.sh
rename to anvio/tests/run_phylogenomics_workflow_tests.sh
diff --git a/anvio/tests/run_unit_tests_for_consensus_taxonomy.py b/anvio/tests/run_scg_taxonomy_consensus_processing_tests.py
old mode 100755
new mode 100644
similarity index 97%
rename from anvio/tests/run_unit_tests_for_consensus_taxonomy.py
rename to anvio/tests/run_scg_taxonomy_consensus_processing_tests.py
index 64fd1240a1..8ea8d4ed44
--- a/anvio/tests/run_unit_tests_for_consensus_taxonomy.py
+++ b/anvio/tests/run_scg_taxonomy_consensus_processing_tests.py
@@ -1,10 +1,8 @@
-#!/usr/bin/env python
 # some tests for SCG taxonomy string processing
 
 import argparse
 
 import anvio.terminal as terminal
-import anvio.taxonomyops as taxonomyops
 import anvio.taxonomyops.scg as scgtaxonomyops
 
 levels_of_taxonomy = ["t_domain", "t_phylum", "t_class", "t_order", "t_family", "t_genus", "t_species"]
@@ -18,7 +16,7 @@
 
 def pX(scg_dict):
     for i in scg_dict:
-        scg_dict[i]['tax_hash'] = taxonomyops.HASH(scg_dict[i])
+        scg_dict[i]['tax_hash'] = scgtaxonomyops.HASH(scg_dict[i])
     return p.get_consensus_taxonomy(scg_dict)
 
 pT = lambda level: pX(scg_dict)[level]
diff --git a/anvio/tests/run_component_tests_for_SCVs_SAAVs_structure.sh b/anvio/tests/run_structure_mock.sh
similarity index 83%
rename from anvio/tests/run_component_tests_for_SCVs_SAAVs_structure.sh
rename to anvio/tests/run_structure_mock.sh
index 06d90d440a..615b642f8e 100755
--- a/anvio/tests/run_component_tests_for_SCVs_SAAVs_structure.sh
+++ b/anvio/tests/run_structure_mock.sh
@@ -9,7 +9,6 @@ make_structure_db() {
                                 --output-db-path test-output/STRUCTURE.db \
                                 --very-fast \
                                 --debug \
-                                --alignment-fraction-cutoff 0.7 \
                                 --num-threads 2 \
                                 --num-models 1
 }
@@ -44,56 +43,6 @@ display_structure2() {
               -s test-output/STRUCTURE.db \
               --debug
 }
-display_structure3() {
-    anvi-display-structure -p test-output/SAMPLES-MERGED/PROFILE.db \
-              -c test-output/one_contig_five_genes.db \
-              -s test-output/EXTERNAL_STRUCTURE.db \
-              --gene-caller-ids 2,4 \
-              --debug
-}
-
-make_routine() {
-    INFO "anvi-gen-structure-database with DSSP"
-    make_structure_db
-
-    INFO "anvi-update-structure-database"
-    anvi-update-structure-database -c test-output/one_contig_five_genes.db -s test-output/STRUCTURE.db --gene-caller-ids 2 --rerun
-
-    INFO "anvi-export-structures"
-    anvi-export-structures -o test-output/exported_pdbs -s test-output/STRUCTURE.db
-
-    INFO "make db with external structures"
-    cat <<EOF > external_structures
-gene_callers_id	path
-2	test-output/exported_pdbs/gene_2.pdb
-EOF
-    anvi-gen-structure-database -o test-output/EXTERNAL_STRUCTURE.db --external-structures external_structures -c test-output/one_contig_five_genes.db --debug
-
-    INFO "update db with external structures"
-    cat <<EOF > external_structures
-gene_callers_id	path
-2	test-output/exported_pdbs/gene_2.pdb
-4	test-output/exported_pdbs/gene_4.pdb
-EOF
-    anvi-update-structure-database -s test-output/EXTERNAL_STRUCTURE.db --external-structures external_structures -c test-output/one_contig_five_genes.db --rerun --debug
-}
-
-display_routine() {
-    INFO "anvi-gen-variability-profile --engine AA"
-    gen_var_profile1
-
-    INFO "anvi-gen-variability-profile --engine CDN"
-    gen_var_profile2
-
-    INFO "anvi-display-structure with profile database"
-    display_structure1
-
-    INFO "anvi-display-structure with variability"
-    display_structure2
-
-    INFO "anvi-display-structure with external structure database"
-    display_structure3
-}
 
 
 if [ $# -eq 0  ]
@@ -156,8 +105,21 @@ then
     INFO "Importing additional layers data"
     anvi-import-misc-data mock_data_for_structure/additional_layers_data.txt -p test-output/SAMPLES-MERGED/PROFILE.db --target-data-table layers
 
-    make_routine
-    display_routine
+    INFO "anvi-gen-structure-database with DSSP"
+    make_structure_db
+
+    INFO "anvi-gen-variability-profile --engine AA"
+    gen_var_profile1
+
+    INFO "anvi-gen-variability-profile --engine CDN"
+    gen_var_profile2
+
+    INFO "anvi-display-structure with profile database"
+    display_structure1
+
+    INFO "anvi-display-structure with variability"
+    display_structure2
+
 
 ####################################################################################
 
@@ -178,12 +140,29 @@ then
     fi
 
     rm -rf test-output/STRUCTURE.db
-    rm -rf test-output/EXTERNAL_STRUCTURE.db
     rm -rf test-output/RAW_MODELLER_OUTPUT
     rm -rf test-output/exported_pdbs
 
-    make_routine
-    display_routine
+    INFO "anvi-gen-structure-database with DSSP"
+    make_structure_db
+
+    INFO "anvi-update-structure-database"
+    anvi-update-structure-database -c test-output/one_contig_five_genes.db -s test-output/STRUCTURE.db --gene-caller-ids 2 --rerun
+
+    INFO "anvi-export-structures"
+    anvi-export-structures -o test-output/exported_pdbs -s test-output/STRUCTURE.db
+
+    INFO "anvi-gen-variability-profile --engine AA"
+    gen_var_profile1
+
+    INFO "anvi-gen-variability-profile --engine CDN"
+    gen_var_profile2
+
+    INFO "anvi-display-structure with profile database"
+    display_structure1
+
+    INFO "anvi-display-structure with variability"
+    display_structure2
 
     echo
     echo
@@ -207,7 +186,17 @@ then
     rm -rf test-output/variability_CDN.txt
     rm -rf test-output/variability_AA.txt
 
-    display_routine
+    INFO "anvi-gen-variability-profile --engine AA"
+    gen_var_profile1
+
+    INFO "anvi-gen-variability-profile --engine CDN"
+    gen_var_profile2
+
+    INFO "anvi-display-structure with profile and contigs databases"
+    display_structure1
+
+    INFO "anvi-display-structure with variability"
+    display_structure2
 
     echo
     echo
diff --git a/anvio/tests/run_component_tests_for_trnaseq.sh b/anvio/tests/run_trnaseq_tests.sh
similarity index 68%
rename from anvio/tests/run_component_tests_for_trnaseq.sh
rename to anvio/tests/run_trnaseq_tests.sh
index bd46279cb6..206d5de144 100755
--- a/anvio/tests/run_component_tests_for_trnaseq.sh
+++ b/anvio/tests/run_trnaseq_tests.sh
@@ -28,15 +28,15 @@ do
 done
 
 INFO "Converting tRNA-seq databases to contigs and profile databases"
-anvi-merge-trnaseq ${output_dir}/S01_untreated/S01_untreated-TRNASEQ.db \
-                   ${output_dir}/S01_demethylase/S01_demethylase-TRNASEQ.db \
-                   ${output_dir}/S02_untreated/S02_untreated-TRNASEQ.db \
-                   ${output_dir}/S02_demethylase/S02_demethylase-TRNASEQ.db \
-                   -o ${output_dir}/CONVERTED \
-                   -n TEST_EXPERIMENT \
-                   --max-reported-trna-seeds 1000 \
-                   --preferred-treatment demethylase \
-                   --nonspecific-output nonspecific_db,combined_db,summed_db
+anvi-convert-trnaseq-database ${output_dir}/S01_untreated/S01_untreated-TRNASEQ.db \
+                              ${output_dir}/S01_demethylase/S01_demethylase-TRNASEQ.db \
+                              ${output_dir}/S02_untreated/S02_untreated-TRNASEQ.db \
+                              ${output_dir}/S02_demethylase/S02_demethylase-TRNASEQ.db \
+                              -o ${output_dir}/CONVERTED \
+                              -n TEST_EXPERIMENT \
+                              --max-reported-trna-seeds 1000 \
+                              --preferred-treatment demethylase \
+                              --nonspecific-output nonspecific_db,combined_db,summed_db
 
 INFO "Assigning taxonomy to tRNA seeds"
 anvi-run-trna-taxonomy -c ${output_dir}/CONVERTED/CONTIGS.db \
diff --git a/anvio/tests/run_component_tests_for_SNVs.sh b/anvio/tests/run_variability_mock.sh
similarity index 95%
rename from anvio/tests/run_component_tests_for_SNVs.sh
rename to anvio/tests/run_variability_mock.sh
index be050c26fb..0394dede5a 100755
--- a/anvio/tests/run_component_tests_for_SNVs.sh
+++ b/anvio/tests/run_variability_mock.sh
@@ -115,7 +115,7 @@ anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
                              --splits-of-interest test-output/splits_of_interest.txt \
                              --engine NT
 
-SHOW_FILE test-output/variability_NT.txt
+head test-output/variability_NT.txt
 
 INFO "anvi-gen-variability for AA"
 anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
@@ -125,7 +125,7 @@ anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
                              --quince-mode \
                              --engine AA
 
-SHOW_FILE test-output/variability_AA.txt
+head test-output/variability_AA.txt
 
 INFO "anvi-gen-variability for AA (--kiefl-mode)"
 anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
@@ -135,7 +135,7 @@ anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
                              --kiefl-mode \
                              --engine AA
 
-SHOW_FILE test-output/variability_AA_kiefl.txt
+head test-output/variability_AA_kiefl.txt
 
 INFO "anvi-gen-variability for CDN"
 anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
@@ -146,7 +146,7 @@ anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
                              --include-site-pnps \
                              --engine CDN
 
-SHOW_FILE test-output/variability_CDN.txt
+head test-output/variability_CDN.txt
 
 INFO "anvi-gen-variability for CDN (--kiefl-mode)"
 anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
@@ -157,7 +157,7 @@ anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
                              --kiefl-mode \
                              --engine CDN
 
-SHOW_FILE test-output/variability_CDN_kiefl.txt
+head test-output/variability_CDN_kiefl.txt
 
 INFO "anvi-gen-fixation-index-matrix for NT"
 anvi-gen-fixation-index-matrix -p test-output/SAMPLES-MERGED/PROFILE.db \
@@ -177,13 +177,13 @@ anvi-gen-fixation-index-matrix -V test-output/variability_NT_no_quince.txt \
                                --engine NT
 
 INFO "diff between test-output/fixation_NT_external.txt and test-output/fixation_NT.txt (should be same)"
-SHOW_FILE test-output/fixation_NT.txt
-SHOW_FILE test-output/fixation_NT_external.txt
+cat test-output/fixation_NT.txt
+cat test-output/fixation_NT_external.txt
 
 INFO "comparison between test-output/fixation_NT_external_no_quince.txt and test-output/fixation_NT_external.txt"
 INFO "(the value should be the same but the order of the samples becomes arbitrary)"
-SHOW_FILE test-output/fixation_NT_external_no_quince.txt
-SHOW_FILE test-output/fixation_NT_external.txt
+cat test-output/fixation_NT_external_no_quince.txt
+cat test-output/fixation_NT_external.txt
 
 INFO "anvi-gen-fixation-index-matrix for NT with external table no quince"
 rm -rf test-output/pn_ps_ratio_output
diff --git a/anvio/tests/run_workflow_tests_for_ecophylo.sh b/anvio/tests/run_workflow_tests_for_ecophylo.sh
deleted file mode 100755
index ea5cafc1e3..0000000000
--- a/anvio/tests/run_workflow_tests_for_ecophylo.sh
+++ /dev/null
@@ -1,87 +0,0 @@
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-INFO "Setting up the ecophylo workflow test directory"
-mkdir $output_dir/workflow_test
-cp -r $files/workflows/ecophylo/*                                       $output_dir/workflow_test/
-cp $files/data/metagenomes/human_gut/IGD_SUBSET/CONTIGS.db              $output_dir/workflow_test
-cp $files/data/genomes/bacteria/*.db                                    $output_dir/workflow_test
-cp $files/data/genomes/archaea/*.db                                     $output_dir/workflow_test
-cp $files/data/input_files/metagenomes.txt                              $output_dir/workflow_test
-cp $files/data/input_files/external-genomes.txt                         $output_dir/workflow_test
-cp $files/data/input_files/hmm_list.txt                                 $output_dir/workflow_test
-cp $files/data/input_files/hmm_list_external.txt                        $output_dir/workflow_test
-cd $output_dir/workflow_test
-
-INFO "Creating a default config for ecophylo workflow"
-anvi-run-workflow -w ecophylo --get-default-config default-config.json
-
-INFO "Generating r1 and r2 short reads for samples"
-mkdir -p output
-samples="sampleB_thetaiotamicron_Ribosomal_L16 sample_IGD_SUBSET_Ribosomal_L16 sample_P_marinus_Ribosomal_L16"
-
-for sample in $samples
-do
-    ~/github/reads-for-assembly/gen-paired-end-reads samples/$sample.ini
-done
-
-echo -e "sample\tr1\tr2" > samples.txt
-for reads in `ls output/*-R1.fastq`;
-do 
-    name=$(basename $reads -R1.fastq | sed 's|-|_|g')
-    echo -e "${name}\t${reads}\t${reads/-R1.fastq/-R2.fastq}" >> samples.txt
-done
-
-INFO "Listing dependencies for ecophylo workflow"
-anvi-run-workflow -w ecophylo -c default-config.json --list-dependencies
-
-INFO "Saving a workflow graph"
-anvi-run-workflow -w ecophylo -c default-config.json --save-workflow-graph
-
-INFO "Running ecophylo workflow with ecophylo dry-run"
-anvi-run-workflow -w ecophylo -c default-config.json -A --dry-run
-
-INFO "Running ecophylo workflow with ecophylo dry-run: only metagenomes.txt"
-anvi-run-workflow -w ecophylo -c only-metagenomes-txt-config.json -A --dry-run
-
-INFO "Running ecophylo workflow with ecophylo dry-run: only external-genomes.txt"
-anvi-run-workflow -w ecophylo -c only-external-genomes-txt-config.json -A --dry-run
-
-INFO "Running ecophylo workflow"
-anvi-run-workflow -w ecophylo -c default-config.json
-
-INFO "Running ecophylo workflow interactive"
-HMM="Ribosomal_L16"
-anvi-interactive -c ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW/03_CONTIGS/"${HMM}"-contigs.db \
-                 -p ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW/06_MERGED/"${HMM}"/PROFILE.db
-
-rm -rf $output_dir/workflow_test/ECOPHYLO_WORKFLOW/     
-
-INFO "Saving a workflow graph - no samples.txt"
-anvi-run-workflow -w ecophylo -c no-samples-txt-config.json --save-workflow-graph
-
-INFO "Running ecophylo workflow with ecophylo dry-run - no samples.txt"
-anvi-run-workflow -w ecophylo -c no-samples-txt-config.json -A --dry-run
-
-INFO "Running ecophylo workflow - no samples.txt"
-anvi-run-workflow -w ecophylo -c no-samples-txt-config.json
-
-INFO "Running ecophylo workflow interactive"
-HMM="Ribosomal_L16"
-anvi-interactive -t ECOPHYLO_WORKFLOW/05_TREES/"${HMM}"/"${HMM}"_renamed.nwk \
-                 -p ECOPHYLO_WORKFLOW/05_TREES/"${HMM}"/"${HMM}"-PROFILE.db \
-                 --manual
-
-rm -rf $output_dir/workflow_test/ECOPHYLO_WORKFLOW/     
-
-INFO "Running ecophylo workflow - external HMM"
-anvi-run-workflow -w ecophylo -c only-external-genomes-txt-config.json
-
-INFO "Running ecophylo workflow interactive from external HMM"
-HMM="Ribosomal_L16"
-anvi-interactive -t ECOPHYLO_WORKFLOW/05_TREES/"${HMM}"/"${HMM}"_renamed.nwk \
-                 -p ECOPHYLO_WORKFLOW/05_TREES/"${HMM}"/"${HMM}"-PROFILE.db \
-                 --manual
\ No newline at end of file
diff --git a/anvio/tests/run_workflow_tests_for_all_workflows.sh b/anvio/tests/run_workflows_tests.sh
similarity index 100%
rename from anvio/tests/run_workflow_tests_for_all_workflows.sh
rename to anvio/tests/run_workflows_tests.sh
diff --git a/anvio/tests/sandbox/data/genomes/archaea/S_islandicus_LS215.db b/anvio/tests/sandbox/data/genomes/archaea/S_islandicus_LS215.db
index 6773c5c797ee30260711cfdfda2ec0e25b9821e4..39007fdb0007323016b986da1796ce45b7755e91 100644
GIT binary patch
delta 45578
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index 7b3c8762bfcbcf38840b37481e146c8a6a9b8c22..482007e9a0f49a16fc9da3096250c381698c2ee2 100644
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diff --git a/anvio/tests/sandbox/data/genomes/bacteria/P_marinus_CCMP1375.db b/anvio/tests/sandbox/data/genomes/bacteria/P_marinus_CCMP1375.db
index ff280f5a64675295373330324bb6c8c03b5f6ac5..844f44a871e6affa014b0e7ec41da4c9ebd48c24 100644
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diff --git a/anvio/tests/sandbox/data/input_files/cov_det_enzymes_input.txt b/anvio/tests/sandbox/data/input_files/cov_det_enzymes_input.txt
deleted file mode 100644
index 433d2b5bc9..0000000000
--- a/anvio/tests/sandbox/data/input_files/cov_det_enzymes_input.txt
+++ /dev/null
@@ -1,473 +0,0 @@
-gene_id	enzyme_accession	source	coverage	detection
-aad:TC41_3038	K02886	KOfam	4.44	0.7862318840579711
-aca:ACP_1744	K02626	KOfam	4.522875816993464	0.7790055248618785
-aco:Amico_1604	K00606	KOfam	2.63953488372093	0.8063380281690141
-ade:Adeh_0623	K02669	KOfam	2.011764705882353	0.6639344262295082
-adg:Adeg_1384	K00175	KOfam	2.16	0.7529880478087649
-adg:Adeg_1688	K07491	KOfam	16.917525773195877	0.7293233082706767
-adg:Adeg_2015	K14127	KOfam	21.166666666666668	0.7876712328767124
-atm:ANT_01260	K00926	KOfam	0.7560137457044673	0.6081504702194357
-atm:ANT_25420	K01689	KOfam	0.6601466992665037	0.5540229885057472
-atm:ANT_10310	K03040	KOfam	0.8888888888888888	0.5950155763239875
-awo:Awo_c28380	K02948	KOfam	0.6826923076923077	0.5461538461538461
-bja:blr3894	K07497	KOfam	1.0398406374501992	0.5709090909090909
-bts:Btus_0231	K04078	KOfam	0.9705882352941176	0.6382978723404256
-bvi:Bcep1808_0489	K07390	KOfam	1.6233766233766234	0.6504854368932039
-cag:Cagg_3690	K09129	KOfam	0.9333333333333333	0.5838509316770186
-cah:CAETHG_3411	K03553	KOfam	1.8452380952380953	0.6767955801104972
-cap:CLDAP_20110	K01738	KOfam	3.2711267605633805	0.7322580645161291
-cap:CLDAP_20350	K09014	KOfam	0.8635346756152126	0.5520169851380042
-cau:Caur_2184	K02601	KOfam	1.0124223602484472	0.5882352941176471
-cau:Caur_0276	K07131	KOfam	0.7916666666666666	0.5901639344262295
-cex:CSE_06480	K00134	KOfam	2.1818181818181817	0.7202380952380952
-cex:CSE_06860	K00169	KOfam	2.8662952646239552	0.7249357326478149
-cex:CSE_06870	K00170	KOfam	4.4787234042553195	0.7838709677419354
-cex:CSE_06850	K00171	KOfam	2.6419753086419755	0.6822429906542056
-cex:CSE_02140	K00175	KOfam	6.412844036697248	0.8024193548387096
-cex:CSE_14630	K00262	KOfam	6.561611374407583	0.8650442477876106
-cex:CSE_09580	K00266	KOfam	10.136986301369863	0.7660944206008584
-cex:CSE_04300	K00283	KOfam	4.880794701986755	0.7193347193347194
-cex:CSE_07530	K00600	KOfam	3.0539845758354756	0.7253012048192771
-cex:CSE_05010	K00615	KOfam	1.5956873315363882	0.69140625
-cex:CSE_03240	K00759	KOfam	3.202797202797203	0.8304093567251462
-cex:CSE_12580	K00876	KOfam	4.03954802259887	0.7804878048780488
-cex:CSE_03950	K00925	KOfam	2.3412322274881516	0.6822222222222222
-cex:CSE_12200	K01409	KOfam	0.7882736156351792	0.5313432835820896
-cex:CSE_15170	K01734	KOfam	4.0859375	0.7215189873417721
-cex:CSE_08150	K01737	KOfam	0.7582417582417582	0.5470085470085471
-cex:CSE_05760	K01869	KOfam	1.4981084489281211	0.6312576312576312
-cex:CSE_03630	K01990	KOfam	4.8246445497630335	0.7322175732217573
-cex:CSE_05950	K02039	KOfam	2.1649484536082473	0.7927927927927928
-cex:CSE_05990	K02040	KOfam	1.3294117647058823	0.6537102473498233
-cex:CSE_11570	K02118	KOfam	0.7289293849658315	0.550321199143469
-cex:CSE_07830	K02356	KOfam	3.464516129032258	0.7700534759358288
-cex:CSE_08060	K02357	KOfam	3.4319526627218937	0.7025641025641025
-cex:CSE_11430	K02358	KOfam	5.1876675603217155	0.9106699751861043
-cex:CSE_04280	K02437	KOfam	3.64	0.75
-cex:CSE_12690	K02887	KOfam	2.8526315789473684	0.6991869918699187
-cex:CSE_11420	K02946	KOfam	1.868421052631579	0.7450980392156863
-cex:CSE_11160	K02948	KOfam	3.6633663366336635	0.7364341085271318
-cex:CSE_08050	K02967	KOfam	3.1739130434782608	0.7790697674418605
-cex:CSE_11220	K03076	KOfam	1.5558375634517767	0.6563981042654028
-cex:CSE_08310	K03086	KOfam	2.3736263736263736	0.7397959183673469
-cex:CSE_02290	K03382	KOfam	3.3042452830188678	0.7136563876651982
-cex:CSE_00700	K03530	KOfam	1.125	0.6222222222222222
-cex:CSE_12060	K03613	KOfam	0.9825581395348837	0.595
-cex:CSE_12050	K03617	KOfam	2.2261904761904763	0.7857142857142857
-cex:CSE_15640	K03701	KOfam	2.173391494002181	0.6786850477200425
-cex:CSE_07030	K03702	KOfam	3.512539184952978	0.7762762762762763
-cex:CSE_06920	K04043	KOfam	5.2287234042553195	0.8175675675675675
-cex:CSE_09560	K04069	KOfam	1.8660287081339713	0.6540084388185654
-cex:CSE_12260	K04077	KOfam	4.241650294695481	0.7467411545623837
-cex:CSE_08740	K05520	KOfam	3.142857142857143	0.8214285714285714
-cex:CSE_05910	K07250	KOfam	1.968058968058968	0.8137931034482758
-cex:CSE_03780	K07397	KOfam	2.7685185185185186	0.7357142857142858
-cex:CSE_11670	K10823	KOfam	3.7417218543046356	0.7848484848484848
-cex:CSE_11680	K15583	KOfam	5.3452768729641695	0.7867867867867868
-cex:CSE_02230	K17723	KOfam	3.3280839895013123	0.754257907542579
-cfu:CFU_1866	K01703	KOfam	1.15	0.6523605150214592
-chd:Calhy_0678	K10441	KOfam	1.0589473684210526	0.5868263473053892
-chy:CHY_1991	K00266	KOfam	3.0276497695852536	0.7801724137931034
-chy:CHY_2198	K04488	KOfam	18.422680412371133	0.776
-cpo:COPRO5265_0235	K16923	KOfam	3.125	0.7346938775510204
-cts:Ctha_1883	K00134	KOfam	0.8885245901639345	0.5649546827794562
-dal:Dalk_4134	K08998	KOfam	24.10144927536232	0.782608695652174
-dao:Desac_2922	K00052	KOfam	3.0030395136778116	0.8084507042253521
-dao:Desac_2108	K00339	KOfam	1.2127659574468086	0.6
-dao:Desac_1748	K01338	KOfam	4.879746835443038	0.7365196078431373
-dao:Desac_0417	K01358	KOfam	1.04	0.6080402010050251
-dao:Desac_2680	K01696	KOfam	1.5094850948509486	0.6361323155216285
-dao:Desac_1028	K01878	KOfam	5.2593984962406015	0.8527397260273972
-dao:Desac_2578	K01886	KOfam	3.8092592592592593	0.7879858657243817
-dao:Desac_1870	K01902	KOfam	1.5601503759398496	0.6344827586206897
-dao:Desac_1040	K01915	KOfam	6.188405797101449	0.8665158371040724
-dao:Desac_2887	K01926	KOfam	0.7219251336898396	0.5402843601895735
-dao:Desac_2482	K01940	KOfam	1.678191489361702	0.65
-dao:Desac_2142	K01951	KOfam	2.9531568228105907	0.6932038834951456
-dao:Desac_2452	K02109	KOfam	2.8559322033898304	0.6971830985915493
-dao:Desac_1471	K02358	KOfam	16.827493261455526	0.929471032745592
-dao:Desac_0747	K02884	KOfam	1.5108695652173914	0.7241379310344828
-dao:Desac_1461	K02950	KOfam	8.969072164948454	0.7886178861788617
-dao:Desac_1450	K02982	KOfam	5.382978723404255	0.8055555555555556
-dao:Desac_1429	K02986	KOfam	1.0543478260869565	0.6009615384615384
-dao:Desac_1436	K03076	KOfam	2.891041162227603	0.7322654462242563
-dao:Desac_0418	K03544	KOfam	4.7621483375959075	0.7937649880095923
-dao:Desac_2761	K03553	KOfam	5.455108359133127	0.7593123209169055
-dao:Desac_1171	K03569	KOfam	4.3742138364779874	0.7441860465116279
-dao:Desac_0681	K03628	KOfam	6.778337531486146	0.8978622327790974
-dao:Desac_1477	K03798	KOfam	4.662207357859532	0.7115384615384616
-dao:Desac_1111	K04043	KOfam	5.508196721311475	0.7594339622641509
-dao:Desac_1918	K04077	KOfam	4.9	0.8589743589743589
-dao:Desac_0969	K05606	KOfam	0.6666666666666666	0.5407407407407407
-dao:Desac_2636	K07657	KOfam	1.1666666666666667	0.6491228070175439
-dao:Desac_0556	K07738	KOfam	1.6541353383458646	0.6540880503144654
-dao:Desac_2932	K09903	KOfam	3.3607305936073057	0.7020408163265306
-dao:Desac_2029	K14261	KOfam	1.127371273712737	0.6183206106870229
-dau:Daud_1772	K01654	KOfam	1.0339506172839505	0.6028571428571429
-dbr:Deba_2928	K02874	KOfam	1.7604166666666667	0.7213114754098361
-deh:cbdb_A892	K01995	KOfam	4.424	0.717391304347826
-deh:cbdb_A1669	K03386	KOfam	2.2054054054054055	0.7793427230046949
-deh:cbdb_A285	K03531	KOfam	1.2857142857142858	0.6329787234042553
-det:DET1187	K00794	KOfam	2.0930232558139537	0.7612903225806451
-det:DET0710	K01358	KOfam	1.3218390804597702	0.73
-det:DET0564	K02112	KOfam	2.1187214611872145	0.665948275862069
-dku:Desku_1232	K00626	KOfam	1.25	0.7186046511627907
-dku:Desku_1358	K01677	KOfam	1.8070866141732282	0.6821428571428572
-dku:Desku_2030	K04488	KOfam	1.1584158415841583	0.656
-dly:Dehly_0526	K01858	KOfam	4.244186046511628	0.782258064516129
-dly:Dehly_1603	K03325	KOfam	1.4642857142857142	0.6472222222222223
-dly:Dehly_0323	K03427	KOfam	0.9104803493449781	0.5681818181818182
-dol:Dole_2882	K03325	KOfam	2.997297297297297	0.7525252525252525
-drm:Dred_2965	K00656	KOfam	8.299867899603699	0.8407643312101911
-dru:Desru_1906	K02956	KOfam	0.6923076923076923	0.5056179775280899
-dth:DICTH_0253	K07319	KOfam	1.734982332155477	0.6472491909385113
-dti:Desti_5585	K00297	KOfam	2.794425087108014	0.6913183279742765
-dti:Desti_4719	K01551	KOfam	2.138157894736842	0.8181818181818182
-dti:Desti_4720	K01551	KOfam	2.664451827242525	0.8092307692307692
-dti:Desti_1833	K01848	KOfam	1.5445736434108528	0.6291512915129152
-dti:Desti_4338	K01914	KOfam	4.597142857142857	0.8856382978723404
-dti:Desti_2888	K01996	KOfam	3.3278688524590163	0.75
-dti:Desti_1912	K03738	KOfam	1.3271028037383177	0.6951951951951952
-dti:Desti_2487	K03782	KOfam	9.601683029453016	0.9538670284938942
-dti:Desti_3788	K06217	KOfam	1.8562091503267975	0.6897590361445783
-dto:TOL2_C36280	K09129	KOfam	8.541666666666666	0.7375
-dtu:Dtur_0861	K01734	KOfam	1.1085271317829457	0.6405228758169934
-geb:GM18_2743	K01992	KOfam	1.3333333333333333	0.6118598382749326
-gma:AciX8_1674	K13640	KOfam	0.6764705882352942	0.5476190476190477
-gsk:KN400_1135	K04564	KOfam	3.0654761904761907	0.7395833333333334
-gsu:GSU2858	K02946	KOfam	1.618421052631579	0.7058823529411765
-gur:Gura_3544	K05772	KOfam	2.0421455938697317	0.6666666666666666
-har:HEAR0241	K02996	KOfam	1.4326923076923077	0.6538461538461539
-hor:Hore_09570	K01818	KOfam	1.876949740034662	0.6965174129353234
-hor:Hore_12400	K03086	KOfam	2.8012048192771086	0.7374301675977654
-hse:Hsero_0364	K02888	KOfam	1.2857142857142858	0.6213592233009708
-kcr:Kcr_0950	K00027	KOfam	7.271889400921659	0.7152173913043478
-kcr:Kcr_0543	K01992	KOfam	4.716216216216216	0.7619047619047619
-kcr:Kcr_1097	K02032	KOfam	4.048701298701299	0.7159763313609467
-max:MMALV_00330	K03124	KOfam	2.084507042253521	0.6870967741935484
-mba:Mbar_A2997	K00688	KOfam	7.532319391634981	0.7580645161290323
-mbg:BN140_1300	K01622	KOfam	3.662756598240469	0.8054794520547945
-mbg:BN140_0171	K02118	KOfam	3.110344827586207	0.7960954446854663
-mbn:Mboo_0675	K00172	KOfam	1.356687898089172	0.6464088397790055
-mbn:Mboo_0729	K00175	KOfam	3.1493775933609958	0.8202247191011236
-mbn:Mboo_0567	K00577	KOfam	3.7454545454545456	0.7886178861788617
-mbn:Mboo_0523	K00758	KOfam	2.584710743801653	0.7165354330708661
-mbn:Mboo_0680	K01499	KOfam	2.7256944444444446	0.6910828025477707
-mbn:Mboo_1564	K01736	KOfam	1.228476821192053	0.6189024390243902
-mbn:Mboo_0739	K01755	KOfam	1.3169642857142858	0.6497890295358649
-mbn:Mboo_0656	K01867	KOfam	1.3248730964467006	0.6339712918660287
-mbn:Mboo_1689	K01915	KOfam	1.1855421686746987	0.6485260770975056
-mbn:Mboo_0088	K01933	KOfam	1.006578947368421	0.5666666666666667
-mbn:Mboo_2140	K01937	KOfam	4.996	0.7547528517110266
-mbn:Mboo_1784	K01960	KOfam	3.7553956834532376	0.7955326460481099
-mbn:Mboo_0756	K02003	KOfam	1.77	0.6814159292035398
-mbn:Mboo_0265	K02950	KOfam	3.4491525423728815	0.7183098591549296
-mbn:Mboo_0547	K02994	KOfam	1.028301886792453	0.6538461538461539
-mbn:Mboo_1931	K03042	KOfam	6.379213483146067	0.7102564102564103
-mbn:Mboo_0555	K03076	KOfam	2.8314855875831486	0.7547169811320755
-mbn:Mboo_1736	K03166	KOfam	2.775147928994083	0.8149171270718232
-mbn:Mboo_0270	K03265	KOfam	2.12531328320802	0.7683215130023641
-mbn:Mboo_0588	K03388	KOfam	2.1194029850746268	0.6801152737752162
-mbn:Mboo_1338	K03413	KOfam	2.0833333333333335	0.725
-mbn:Mboo_1400	K03622	KOfam	1.9726027397260273	0.7525773195876289
-mbn:Mboo_1798	K03671	KOfam	1.71875	0.6666666666666666
-mbn:Mboo_1106	K03702	KOfam	4.5	0.8636363636363636
-mbn:Mboo_0356	K04487	KOfam	3.9337016574585637	0.7205128205128205
-mbn:Mboo_2125	K04487	KOfam	2.3521505376344085	0.7814070351758794
-mbn:Mboo_1503	K04564	KOfam	5.88268156424581	0.8097560975609757
-mbn:Mboo_1685	K04751	KOfam	1.5180722891566265	0.7102803738317757
-mbn:Mboo_1392	K04802	KOfam	2.5470852017937218	0.6923076923076923
-mbn:Mboo_1213	K07005	KOfam	3.6417910447761193	0.759493670886076
-mbn:Mboo_2210	K07021	KOfam	1.9713603818615753	0.7191011235955056
-mbn:Mboo_2070	K07027	KOfam	2.4134615384615383	0.7692307692307693
-mbn:Mboo_1385	K07041	KOfam	1.3203252032520325	0.6259780907668232
-mbn:Mboo_0854	K07075	KOfam	1.0142857142857142	0.6354166666666666
-mbn:Mboo_1643	K07722	KOfam	2.008771929824561	0.75
-mbn:Mboo_0001	K10725	KOfam	4.512437810945274	0.8023255813953488
-mbn:Mboo_2427	K13525	KOfam	2.8716302952503208	0.715527950310559
-mcj:MCON_2915	K02867	KOfam	0.8939393939393939	0.5822784810126582
-mcj:MCON_1578	K03136	KOfam	0.6737588652482269	0.5272727272727272
-mcj:MCON_2612	K04564	KOfam	2.140449438202247	0.6666666666666666
-mcj:MCON_1599	K05570	KOfam	1.1587301587301588	0.6067415730337079
-mcj:MCON_2287	K07034	KOfam	2.2606060606060607	0.7486910994764397
-mel:Metbo_0173	K00794	KOfam	1.7678571428571428	0.7352941176470589
-mel:Metbo_0170	K01704	KOfam	2.431654676258993	0.6909090909090909
-mel:Metbo_2192	K02877	KOfam	1.5354838709677419	0.7624309392265194
-mel:Metbo_2222	K03420	KOfam	2.8089005235602094	0.7170731707317073
-mel:Metbo_0166	K04483	KOfam	2.5470383275261326	0.7331189710610932
-mer:H729_02595	K02929	KOfam	2.6029411764705883	0.7065217391304348
-mer:H729_06875	K02946	KOfam	0.9753086419753086	0.6601941747572816
-mer:H729_03515	K02948	KOfam	12.02020202020202	0.7795275590551181
-mer:H729_07635	K09721	KOfam	1.2586206896551724	0.6666666666666666
-mev:Metev_0789	K01971	KOfam	8.991935483870968	0.7105263157894737
-mew:MSWAN_0553	K00973	KOfam	1.8632218844984803	0.6619718309859155
-mew:MSWAN_0894	K01641	KOfam	2.078125	0.6791907514450867
-mew:MSWAN_0395	K02601	KOfam	2.644628099173554	0.6870748299319728
-mew:MSWAN_1461	K02961	KOfam	3.0357142857142856	0.7075471698113207
-mew:MSWAN_2282	K03056	KOfam	1.2537313432835822	0.7528089887640449
-mew:MSWAN_1463	K03113	KOfam	0.8314606741573034	0.5405405405405406
-mew:MSWAN_2297	K03718	KOfam	3.096	0.7114093959731543
-mew:MSWAN_0004	K03744	KOfam	1.1257861635220126	0.5901639344262295
-mew:MSWAN_1243	K05601	KOfam	1.7622549019607843	0.6981566820276498
-mez:Mtc_0573	K00052	KOfam	4.158640226628895	0.7572559366754618
-mez:Mtc_0274	K00054	KOfam	5.022388059701493	0.7697674418604651
-mez:Mtc_0048	K00058	KOfam	1.558	0.6977186311787072
-mez:Mtc_0908	K00399	KOfam	2.771266540642722	0.6846846846846847
-mez:Mtc_0756	K00525	KOfam	16.632683658170915	0.7467994310099573
-mez:Mtc_0455	K00610	KOfam	1.3484848484848484	0.7692307692307693
-mez:Mtc_0206	K00721	KOfam	0.8436363636363636	0.5719063545150501
-mez:Mtc_1043	K01251	KOfam	2.7020725388601035	0.7270531400966184
-mez:Mtc_2501	K01624	KOfam	2.98220640569395	0.7035830618892508
-mez:Mtc_1843	K01733	KOfam	1.4476439790575917	0.7205882352941176
-mez:Mtc_1258	K01756	KOfam	1.5747126436781609	0.6464208242950108
-mez:Mtc_2047	K01990	KOfam	3.761290322580645	0.7130177514792899
-mez:Mtc_2093	K01990	KOfam	2.986547085201794	0.7413127413127413
-mez:Mtc_2208	K02434	KOfam	1.7545045045045045	0.7638297872340426
-mez:Mtc_2319	K02500	KOfam	1.291497975708502	0.684981684981685
-mez:Mtc_1051	K02626	KOfam	2.4857142857142858	0.7590361445783133
-mez:Mtc_1421	K02863	KOfam	2.716577540106952	0.7230046948356808
-mez:Mtc_1533	K02948	KOfam	4.961538461538462	0.8
-mez:Mtc_1332	K02961	KOfam	5.523809523809524	0.7636363636363637
-mez:Mtc_2145	K03044	KOfam	4.676470588235294	0.8162251655629139
-mez:Mtc_1346	K03076	KOfam	1.0788381742738589	0.5928853754940712
-mez:Mtc_1664	K03531	KOfam	3.0028169014084507	0.8582677165354331
-mez:Mtc_1154	K04043	KOfam	4.05922165820643	0.7374392220421394
-mez:Mtc_0861	K04798	KOfam	2.8210526315789473	0.7768595041322314
-mez:Mtc_2286	K07021	KOfam	1.918854415274463	0.7573033707865169
-mez:Mtc_1231	K09123	KOfam	1.727034120734908	0.6584766584766585
-mez:Mtc_2079	K09731	KOfam	0.9789473684210527	0.6153846153846154
-mez:Mtc_0160	K11261	KOfam	0.7643979057591623	0.5674418604651162
-mez:Mtc_0225	K13525	KOfam	1.6452513966480447	0.75
-mez:Mtc_2375	K14475	KOfam	0.68	0.504950495049505
-mfo:Metfor_1665	K00027	KOfam	2.639896373056995	0.7024390243902439
-mfo:Metfor_2711	K00053	KOfam	3.3465346534653464	0.7537993920972644
-mfo:Metfor_0677	K00123	KOfam	1.9169184290030212	0.7055393586005831
-mfo:Metfor_0678	K00125	KOfam	3.272264631043257	0.7889688249400479
-mfo:Metfor_2909	K00169	KOfam	1.8757225433526012	0.6702702702702703
-mfo:Metfor_2322	K00174	KOfam	3.5395894428152492	0.7193460490463215
-mfo:Metfor_0685	K00200	KOfam	2.380514705882353	0.7175438596491228
-mfo:Metfor_0215	K00400	KOfam	1.405458089668616	0.6759776536312849
-mfo:Metfor_2766	K00400	KOfam	3.4475247524752475	0.8493408662900188
-mfo:Metfor_1187	K00527	KOfam	1.6642958748221905	0.6808803301237965
-mfo:Metfor_0530	K00600	KOfam	2.216494845360825	0.7111650485436893
-mfo:Metfor_0024	K00626	KOfam	4.386111111111111	0.7963917525773195
-mfo:Metfor_0291	K00762	KOfam	2.6914285714285713	0.736318407960199
-mfo:Metfor_0031	K00765	KOfam	1.6433823529411764	0.6564625850340136
-mfo:Metfor_0008	K00809	KOfam	2.950877192982456	0.8617363344051447
-mfo:Metfor_0058	K00928	KOfam	1.5568181818181819	0.7618025751072961
-mfo:Metfor_0082	K00930	KOfam	1.5037593984962405	0.6793103448275862
-mfo:Metfor_0588	K01007	KOfam	1.5054347826086956	0.6394736842105263
-mfo:Metfor_2547	K01251	KOfam	1.2630208333333333	0.6078431372549019
-mfo:Metfor_2574	K01493	KOfam	3.293233082706767	0.7267080745341615
-mfo:Metfor_0116	K01588	KOfam	4.372549019607843	0.7307692307692307
-mfo:Metfor_0009	K01591	KOfam	1.10752688172043	0.6509433962264151
-mfo:Metfor_2181	K01601	KOfam	2.007425742574257	0.7581395348837209
-mfo:Metfor_1167	K01649	KOfam	2.920668058455115	0.7920792079207921
-mfo:Metfor_1684	K01652	KOfam	4.009416195856874	0.8186714542190305
-mfo:Metfor_2891	K01696	KOfam	2.2794520547945205	0.710997442455243
-mfo:Metfor_0778	K01703	KOfam	2.623076923076923	0.8004807692307693
-mfo:Metfor_1775	K01714	KOfam	1.4882154882154883	0.796923076923077
-mfo:Metfor_2527	K01733	KOfam	0.9814323607427056	0.5660847880299252
-mfo:Metfor_2146	K01756	KOfam	3.126794258373206	0.7331838565022422
-mfo:Metfor_0185	K01866	KOfam	2.754325259515571	0.7092651757188498
-mfo:Metfor_1278	K01873	KOfam	3.1712247324613556	0.7190751445086705
-mfo:Metfor_1266	K01874	KOfam	1.9059561128526645	0.8262839879154078
-mfo:Metfor_1727	K01875	KOfam	3.8345864661654137	0.7105882352941176
-mfo:Metfor_0086	K01895	KOfam	1.938943894389439	0.7222222222222222
-mfo:Metfor_2501	K01912	KOfam	1.3227383863080684	0.7066974595842956
-mfo:Metfor_2111	K01955	KOfam	3.433430515063168	0.7317535545023697
-mfo:Metfor_1317	K01959	KOfam	1.5481798715203425	0.6334012219959266
-mfo:Metfor_0368	K01990	KOfam	1.7573529411764706	0.6486486486486487
-mfo:Metfor_2274	K01990	KOfam	1.779874213836478	0.6744186046511628
-mfo:Metfor_0092	K02003	KOfam	3.7512953367875648	0.7168949771689498
-mfo:Metfor_0508	K02004	KOfam	0.631578947368421	0.5222772277227723
-mfo:Metfor_2079	K02036	KOfam	5.612334801762114	0.8972332015810277
-mfo:Metfor_0315	K02117	KOfam	3.936056838365897	0.9028960817717206
-mfo:Metfor_0259	K02118	KOfam	8.919821826280623	0.7684210526315789
-mfo:Metfor_0260	K02120	KOfam	6.781725888324873	0.7688888888888888
-mfo:Metfor_0317	K02120	KOfam	3.7431693989071038	0.8181818181818182
-mfo:Metfor_0314	K02122	KOfam	3.9066666666666667	0.7425742574257426
-mfo:Metfor_2509	K02233	KOfam	0.5904761904761905	0.5084745762711864
-mfo:Metfor_0140	K02323	KOfam	3.091116173120729	0.7354838709677419
-mfo:Metfor_2232	K02470	KOfam	3.4565868263473054	0.7737752161383286
-mfo:Metfor_2544	K02585	KOfam	3.3645484949832776	0.7863777089783281
-mfo:Metfor_1032	K02600	KOfam	3.0	0.7088607594936709
-mfo:Metfor_0403	K02601	KOfam	1.8223684210526316	0.8465909090909091
-mfo:Metfor_2645	K02874	KOfam	1.9636363636363636	0.7121212121212122
-mfo:Metfor_2652	K02886	KOfam	1.6401869158878504	0.7436974789915967
-mfo:Metfor_2634	K02907	KOfam	1.047244094488189	0.6143790849673203
-mfo:Metfor_1031	K02908	KOfam	2.5142857142857142	0.7291666666666666
-mfo:Metfor_1162	K02921	KOfam	2.0	0.7142857142857143
-mfo:Metfor_2654	K02930	KOfam	1.2831858407079646	0.6774193548387096
-mfo:Metfor_2642	K02931	KOfam	2.387323943661972	0.7440476190476191
-mfo:Metfor_2643	K02987	KOfam	2.2930232558139534	0.7344398340248963
-mfo:Metfor_2635	K02988	KOfam	2.558659217877095	0.824390243902439
-mfo:Metfor_2833	K02992	KOfam	2.1151515151515152	0.6963350785340314
-mfo:Metfor_1029	K03041	KOfam	7.4161781946072685	0.7940841865756542
-mfo:Metfor_2868	K03049	KOfam	1.9572192513368984	0.6995305164319249
-mfo:Metfor_1113	K03051	KOfam	2.75531914893617	0.6896551724137931
-mfo:Metfor_1109	K03106	KOfam	1.9162679425837321	0.746606334841629
-mfo:Metfor_1621	K03147	KOfam	2.5286783042394014	0.6823529411764706
-mfo:Metfor_1293	K03167	KOfam	1.9435897435897436	0.7126436781609196
-mfo:Metfor_2512	K03231	KOfam	5.74937343358396	0.8776470588235294
-mfo:Metfor_2832	K03234	KOfam	5.297872340425532	0.8809849521203831
-mfo:Metfor_2709	K03238	KOfam	2.3722222222222222	0.75
-mfo:Metfor_2866	K03242	KOfam	5.554666666666667	0.7766749379652605
-mfo:Metfor_0356	K03243	KOfam	3.2791519434628977	0.9003378378378378
-mfo:Metfor_1227	K03320	KOfam	4.729946524064171	0.83
-mfo:Metfor_2721	K03325	KOfam	7.18429003021148	0.8851540616246498
-mfo:Metfor_2601	K03390	KOfam	3.668639053254438	0.7202072538860104
-mfo:Metfor_1535	K03420	KOfam	4.066666666666666	0.7564766839378239
-mfo:Metfor_0801	K03517	KOfam	1.8928571428571428	0.6764705882352942
-mfo:Metfor_0401	K03531	KOfam	2.148367952522255	0.7465564738292011
-mfo:Metfor_0294	K04076	KOfam	2.4218009478672986	0.7519025875190258
-mfo:Metfor_0752	K04483	KOfam	3.514950166112957	0.8061538461538461
-mfo:Metfor_2277	K04794	KOfam	1.8936170212765957	0.7166666666666667
-mfo:Metfor_0049	K04796	KOfam	1.469387755102041	0.6533333333333333
-mfo:Metfor_1107	K04797	KOfam	1.6666666666666667	0.6643356643356644
-mfo:Metfor_1165	K04798	KOfam	2.877551020408163	0.7583333333333333
-mfo:Metfor_1352	K04801	KOfam	1.2818791946308725	0.6366459627329193
-mfo:Metfor_0171	K06215	KOfam	10.290441176470589	0.8825503355704698
-mfo:Metfor_1987	K06868	KOfam	1.1580381471389645	0.6564885496183206
-mfo:Metfor_0468	K06883	KOfam	2.673575129533679	0.6912442396313364
-mfo:Metfor_1282	K06942	KOfam	2.909090909090909	0.7249357326478149
-mfo:Metfor_0747	K06943	KOfam	2.326219512195122	0.6797752808988764
-mfo:Metfor_0183	K06961	KOfam	2.5534591194968552	0.8121546961325967
-mfo:Metfor_2898	K07053	KOfam	1.6965174129353233	0.6533333333333333
-mfo:Metfor_0793	K07129	KOfam	1.361842105263158	0.6212121212121212
-mfo:Metfor_2075	K07220	KOfam	3.3114754098360657	0.7942583732057417
-mfo:Metfor_1513	K07332	KOfam	2.7759197324414715	0.7363344051446945
-mfo:Metfor_1626	K07463	KOfam	1.5827702702702702	0.698051948051948
-mfo:Metfor_1114	K07572	KOfam	2.459627329192547	0.8288770053475936
-mfo:Metfor_0050	K07575	KOfam	1.6546762589928057	0.6363636363636364
-mfo:Metfor_0748	K07744	KOfam	2.2238805970149254	0.684931506849315
-mfo:Metfor_2853	K09013	KOfam	3.4331797235023043	0.8065843621399177
-mfo:Metfor_2414	K09731	KOfam	2.4545454545454546	0.7232142857142857
-mfo:Metfor_2533	K10725	KOfam	2.08	0.7032085561497327
-mfo:Metfor_1620	K13525	KOfam	9.692207792207792	0.7763819095477387
-mfo:Metfor_1161	K14574	KOfam	1.6285714285714286	0.717948717948718
-mfo:Metfor_2280	K14654	KOfam	1.0343137254901962	0.5833333333333334
-mfo:Metfor_1589	K16306	KOfam	2.2899159663865545	0.6870229007633588
-mfo:Metfor_2712	K17488	KOfam	2.022801302931596	0.7522658610271903
-mfo:Metfor_0216	K17686	KOfam	1.0308880308880308	0.5894736842105263
-mfv:Mfer_0647	K02950	KOfam	13.121739130434783	0.8156028368794326
-mhi:Mhar_1955	K02979	KOfam	0.9787234042553191	0.6197183098591549
-mhu:Mhun_2132	K01711	KOfam	5.434782608695652	0.8793103448275862
-mhu:Mhun_2983	K02036	KOfam	11.700440528634362	0.7984189723320159
-mhu:Mhun_2734	K03386	KOfam	3.1088082901554404	0.7123287671232876
-mox:DAMO_1348	K01156	KOfam	0.7879282218597063	0.5274725274725275
-mox:DAMO_2049	K01156	KOfam	0.7727727727727728	0.5336585365853659
-mpa:MAP2456c	K02110	KOfam	0.7758620689655172	0.5357142857142857
-mpd:MCP_0189	K00096	KOfam	3.1293375394321767	0.7623188405797101
-mpd:MCP_0989	K00266	KOfam	4.256818181818182	0.7051282051282052
-mpd:MCP_0990	K00528	KOfam	5.683206106870229	0.7604166666666666
-mpd:MCP_1463	K00789	KOfam	5.199438202247191	0.8010471204188482
-mpd:MCP_2300	K01159	KOfam	0.7928571428571428	0.572289156626506
-mpd:MCP_0097	K01493	KOfam	1.7279411764705883	0.7345679012345679
-mpd:MCP_2747	K01641	KOfam	3.9717868338557993	0.7377521613832853
-mpd:MCP_2715	K01711	KOfam	1.4085365853658536	0.6988636363636364
-mpd:MCP_1746	K01875	KOfam	1.1662468513853905	0.5961995249406176
-mpd:MCP_1853	K01881	KOfam	3.919642857142857	0.7468354430379747
-mpd:MCP_1629	K01885	KOfam	1.0625	0.6543859649122807
-mpd:MCP_1192	K01912	KOfam	3.3398533007334965	0.8914549653579676
-mpd:MCP_0497	K01937	KOfam	1.5260115606936415	0.6330275229357798
-mpd:MCP_2597	K01945	KOfam	1.2506082725060828	0.6018306636155606
-mpd:MCP_0200	K01955	KOfam	1.776937618147448	0.6964944649446494
-mpd:MCP_2334	K02003	KOfam	0.7688442211055276	0.52
-mpd:MCP_2290	K02117	KOfam	8.669077757685352	0.7979274611398963
-mpd:MCP_0903	K02587	KOfam	1.7919463087248322	0.6518046709129511
-mpd:MCP_1226	K02946	KOfam	11.192307692307692	0.75
-mpd:MCP_0724	K03051	KOfam	1.4787234042553192	0.646551724137931
-mpd:MCP_0008	K03110	KOfam	1.325077399380805	0.6801152737752162
-mpd:MCP_0130	K03120	KOfam	8.901234567901234	0.7978723404255319
-mpd:MCP_0011	K03264	KOfam	0.9795918367346939	0.5681818181818182
-mpd:MCP_2768	K03388	KOfam	3.199052132701422	0.7450682852807283
-mpd:MCP_0253	K03420	KOfam	0.9649595687331537	0.6126582278481013
-mpd:MCP_0513	K03422	KOfam	1.644927536231884	0.6463414634146342
-mpd:MCP_0187	K03768	KOfam	0.9421487603305785	0.593103448275862
-mpd:MCP_2481	K06863	KOfam	5.068249258160237	0.821917808219178
-mpd:MCP_2482	K06863	KOfam	5.810975609756097	0.8491620111731844
-mpd:MCP_2170	K06998	KOfam	1.7481203007518797	0.6883561643835616
-mpd:MCP_2400	K07041	KOfam	1.6655737704918032	0.6588050314465409
-mpd:MCP_2483	K07137	KOfam	1.9315068493150684	0.7413793103448276
-mpd:MCP_1531	K07178	KOfam	5.227678571428571	0.734375
-mpd:MCP_1072	K07722	KOfam	2.4913793103448274	0.7285714285714285
-mpd:MCP_2477	K08289	KOfam	3.293233082706767	0.7002341920374707
-mpd:MCP_0554	K09136	KOfam	1.7047872340425532	0.681592039800995
-mpd:MCP_0106	K09141	KOfam	1.2	0.6747572815533981
-mpd:MCP_0019	K09721	KOfam	3.161290322580645	0.7045454545454546
-mpd:MCP_0001	K10725	KOfam	1.293398533007335	0.6397228637413395
-mpd:MCP_2627	K11600	KOfam	2.745614035087719	0.7322834645669292
-mpd:MCP_2819	K13525	KOfam	4.095940959409594	0.7306317044100119
-mpd:MCP_1669	K16306	KOfam	1.3333333333333333	0.7575757575757576
-mpd:MCP_1961	K16792	KOfam	1.6953125	0.6553398058252428
-mpg:Theba_0075	K03781	KOfam	5.766094420600858	0.926530612244898
-mpl:Mpal_2447	K01581	KOfam	2.236842105263158	0.8193069306930693
-mpl:Mpal_2220	K01990	KOfam	3.3241379310344827	0.7704402515723271
-mpl:Mpal_0929	K02474	KOfam	1.1564102564102565	0.7043269230769231
-mpl:Mpal_0331	K03124	KOfam	11.855263157894736	0.8233532934131736
-mpl:Mpal_0662	K06001	KOfam	2.720657276995305	0.8030973451327433
-mru:mru_0714	K03124	KOfam	6.5210084033613445	0.8446969696969697
-msl:Msil_0269	K02956	KOfam	0.7076923076923077	0.5168539325842697
-mta:Moth_0266	K01689	KOfam	4.664179104477612	0.7079439252336449
-mta:Moth_2087	K05520	KOfam	1.8698224852071006	0.6632124352331606
-mth:MTH373	K01710	KOfam	2.629032258064516	0.7604790419161677
-mtp:Mthe_1277	K06001	KOfam	6.742857142857143	0.7711111111111111
-mtp:Mthe_0247	K15900	KOfam	0.7718120805369127	0.5648148148148148
-mzh:Mzhil_1858	K04488	KOfam	2.7346938775510203	0.7661290322580645
-nde:NIDE1683	K03768	KOfam	2.2517482517482517	0.6745562130177515
-nga:Ngar_c29130	K03427	KOfam	2.96900826446281	0.771484375
-nha:Nham_4367	K01632	KOfam	1.1209362808842653	0.5863808322824716
-nmr:Nmar_0598	K03120	KOfam	21.1	0.7311827956989247
-noc:Noc_1568	K07171	KOfam	1.755813953488372	0.75
-noc:Noc_0768	K07491	KOfam	7.959183673469388	0.7142857142857143
-nwi:Nwi_0269	K03427	KOfam	1.6835699797160244	0.6666666666666666
-opr:Ocepr_1553	K01668	KOfam	1.0449438202247192	0.5966029723991507
-pca:Pcar_1534	K01738	KOfam	0.6433823529411765	0.5436241610738255
-pca:Pcar_1919	K09903	KOfam	1.5395348837209302	0.6639004149377593
-pcu:pc0209	K02950	KOfam	7.41	0.7936507936507936
-pcu:pc0431	K02952	KOfam	0.9583333333333334	0.6229508196721312
-phl:KKY_2035	K07729	KOfam	0.8979591836734694	0.5733333333333334
-ppu:PP_2229	K05560	KOfam	1.1363636363636365	0.6403508771929824
-pth:PTH_0975	K01698	KOfam	1.9634551495016612	0.6850152905198776
-pth:PTH_2867	K01886	KOfam	2.0931098696461823	0.6660746003552398
-pth:PTH_0336	K02988	KOfam	1.207142857142857	0.6445783132530121
-pth:PTH_2596	K12339	KOfam	1.6666666666666667	0.7549668874172185
-rci:RCIX2062	K00402	KOfam	2.2831858407079646	0.7817460317460317
-rci:RCIX1564	K04488	KOfam	4.686868686868687	0.752
-rmg:Rhom172_1813	K01710	KOfam	2.9452054794520546	0.7515723270440252
-sat:SYN_02589	K01955	KOfam	3.7178502879078694	0.8039399624765479
-sat:SYN_01352	K02899	KOfam	1.3220338983050848	0.611764705882353
-sat:SYN_01527	K03100	KOfam	1.0670391061452513	0.5960591133004927
-sat:SYN_02187	K03596	KOfam	2.4475524475524475	0.7123745819397993
-sat:SYN_00838	K05773	KOfam	1.9705882352941178	0.7068965517241379
-sat:SYN_01654	K07539	KOfam	1.4916201117318435	0.6596858638743456
-sba:Sulba_2061	K02919	KOfam	0.6486486486486487	0.6486486486486487
-sfu:Sfum_0366	K01251	KOfam	1.1734693877551021	0.6148325358851675
-sfu:Sfum_2687	K01938	KOfam	2.3689839572192515	0.7666098807495741
-sfu:Sfum_3619	K01951	KOfam	2.248299319727891	0.71875
-sfu:Sfum_3497	K02011	KOfam	2.1624087591240877	0.7202797202797203
-sfu:Sfum_3495	K02012	KOfam	1.7863247863247864	0.6586666666666666
-sfu:Sfum_1567	K02931	KOfam	3.696774193548387	0.7094972067039106
-ssz:SCc_585	K02871	KOfam	0.896551724137931	0.6126760563380281
-sti:Sthe_1107	K01712	KOfam	10.975332068311195	0.8144144144144144
-sti:Sthe_1292	K01923	KOfam	1.3296703296703296	0.6421404682274248
-stq:Spith_0267	K01915	KOfam	1.751121076233184	0.6708860759493671
-sud:ST398NM01_1708	K02899	KOfam	0.8904109589041096	0.5555555555555556
-sus:Acid_6481	K02003	KOfam	0.8957345971563981	0.6042553191489362
-sus:Acid_2029	K03628	KOfam	0.7597911227154047	0.5749385749385749
-sus:Acid_4640	K09690	KOfam	1.2578125	0.599290780141844
-tae:TepiRe1_0546	K01678	KOfam	1.251572327044025	0.6054054054054054
-tid:Thein_2201	K01251	KOfam	8.569230769230769	0.7942583732057417
-tjr:TherJR_0010	K06215	KOfam	3.5296296296296297	0.782312925170068
-tlt:OCC_02277	K01848	KOfam	16.375234521575987	0.8181818181818182
-tnp:Tnap_0342	K01921	KOfam	1.1620294599018004	0.7001569858712716
-toc:Toce_0144	K02952	KOfam	5.43298969072165	0.7886178861788617
-tpz:Tph_c10090	K00925	KOfam	0.9429928741092637	0.5590200445434298
-tro:trd_1300	K04077	KOfam	2.0134099616858236	0.6751824817518248
-trs:Terro_3850	K02112	KOfam	3.3700440528634363	0.7458333333333333
-tte:TTE1217	K01848	KOfam	3.4090056285178236	0.738819320214669
-tte:TTE2273	K02876	KOfam	0.6446280991735537	0.5102040816326531
-ttm:Tthe_1701	K16786	KOfam	1.012	0.5642857142857143
-ttr:Tter_0725	K02874	KOfam	4.71875	0.7131147540983607
-tye:THEYE_A1689	K03427	KOfam	3.0675381263616557	0.822680412371134
diff --git a/anvio/tests/sandbox/data/input_files/hmm_list.txt b/anvio/tests/sandbox/data/input_files/hmm_list.txt
deleted file mode 100644
index 8e1d2f997e..0000000000
--- a/anvio/tests/sandbox/data/input_files/hmm_list.txt
+++ /dev/null
@@ -1,2 +0,0 @@
-name	source	path
-Ribosomal_L16	Bacteria_71	INTERNAL
diff --git a/anvio/tests/sandbox/data/input_files/hmm_list_external.txt b/anvio/tests/sandbox/data/input_files/hmm_list_external.txt
deleted file mode 100644
index c88fbc3a67..0000000000
--- a/anvio/tests/sandbox/data/input_files/hmm_list_external.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-name	source	path
-Ribosomal_L16	Bacteria_71	INTERNAL
-Ribosomal_L16_external_hmm	Ribosomal_L16_external_hmm	Ribosomal_L16_external_hmm
diff --git a/anvio/tests/sandbox/data/input_files/minimal_enzymes_input.txt b/anvio/tests/sandbox/data/input_files/minimal_enzymes_input.txt
deleted file mode 100644
index 1522110bc1..0000000000
--- a/anvio/tests/sandbox/data/input_files/minimal_enzymes_input.txt
+++ /dev/null
@@ -1,473 +0,0 @@
-gene_id	enzyme_accession	source
-aad:TC41_3038	K02886	KOfam
-aca:ACP_1744	K02626	KOfam
-aco:Amico_1604	K00606	KOfam
-ade:Adeh_0623	K02669	KOfam
-adg:Adeg_1384	K00175	KOfam
-adg:Adeg_1688	K07491	KOfam
-adg:Adeg_2015	K14127	KOfam
-atm:ANT_01260	K00926	KOfam
-atm:ANT_25420	K01689	KOfam
-atm:ANT_10310	K03040	KOfam
-awo:Awo_c28380	K02948	KOfam
-bja:blr3894	K07497	KOfam
-bts:Btus_0231	K04078	KOfam
-bvi:Bcep1808_0489	K07390	KOfam
-cag:Cagg_3690	K09129	KOfam
-cah:CAETHG_3411	K03553	KOfam
-cap:CLDAP_20110	K01738	KOfam
-cap:CLDAP_20350	K09014	KOfam
-cau:Caur_2184	K02601	KOfam
-cau:Caur_0276	K07131	KOfam
-cex:CSE_06480	K00134	KOfam
-cex:CSE_06860	K00169	KOfam
-cex:CSE_06870	K00170	KOfam
-cex:CSE_06850	K00171	KOfam
-cex:CSE_02140	K00175	KOfam
-cex:CSE_14630	K00262	KOfam
-cex:CSE_09580	K00266	KOfam
-cex:CSE_04300	K00283	KOfam
-cex:CSE_07530	K00600	KOfam
-cex:CSE_05010	K00615	KOfam
-cex:CSE_03240	K00759	KOfam
-cex:CSE_12580	K00876	KOfam
-cex:CSE_03950	K00925	KOfam
-cex:CSE_12200	K01409	KOfam
-cex:CSE_15170	K01734	KOfam
-cex:CSE_08150	K01737	KOfam
-cex:CSE_05760	K01869	KOfam
-cex:CSE_03630	K01990	KOfam
-cex:CSE_05950	K02039	KOfam
-cex:CSE_05990	K02040	KOfam
-cex:CSE_11570	K02118	KOfam
-cex:CSE_07830	K02356	KOfam
-cex:CSE_08060	K02357	KOfam
-cex:CSE_11430	K02358	KOfam
-cex:CSE_04280	K02437	KOfam
-cex:CSE_12690	K02887	KOfam
-cex:CSE_11420	K02946	KOfam
-cex:CSE_11160	K02948	KOfam
-cex:CSE_08050	K02967	KOfam
-cex:CSE_11220	K03076	KOfam
-cex:CSE_08310	K03086	KOfam
-cex:CSE_02290	K03382	KOfam
-cex:CSE_00700	K03530	KOfam
-cex:CSE_12060	K03613	KOfam
-cex:CSE_12050	K03617	KOfam
-cex:CSE_15640	K03701	KOfam
-cex:CSE_07030	K03702	KOfam
-cex:CSE_06920	K04043	KOfam
-cex:CSE_09560	K04069	KOfam
-cex:CSE_12260	K04077	KOfam
-cex:CSE_08740	K05520	KOfam
-cex:CSE_05910	K07250	KOfam
-cex:CSE_03780	K07397	KOfam
-cex:CSE_11670	K10823	KOfam
-cex:CSE_11680	K15583	KOfam
-cex:CSE_02230	K17723	KOfam
-cfu:CFU_1866	K01703	KOfam
-chd:Calhy_0678	K10441	KOfam
-chy:CHY_1991	K00266	KOfam
-chy:CHY_2198	K04488	KOfam
-cpo:COPRO5265_0235	K16923	KOfam
-cts:Ctha_1883	K00134	KOfam
-dal:Dalk_4134	K08998	KOfam
-dao:Desac_2922	K00052	KOfam
-dao:Desac_2108	K00339	KOfam
-dao:Desac_1748	K01338	KOfam
-dao:Desac_0417	K01358	KOfam
-dao:Desac_2680	K01696	KOfam
-dao:Desac_1028	K01878	KOfam
-dao:Desac_2578	K01886	KOfam
-dao:Desac_1870	K01902	KOfam
-dao:Desac_1040	K01915	KOfam
-dao:Desac_2887	K01926	KOfam
-dao:Desac_2482	K01940	KOfam
-dao:Desac_2142	K01951	KOfam
-dao:Desac_2452	K02109	KOfam
-dao:Desac_1471	K02358	KOfam
-dao:Desac_0747	K02884	KOfam
-dao:Desac_1461	K02950	KOfam
-dao:Desac_1450	K02982	KOfam
-dao:Desac_1429	K02986	KOfam
-dao:Desac_1436	K03076	KOfam
-dao:Desac_0418	K03544	KOfam
-dao:Desac_2761	K03553	KOfam
-dao:Desac_1171	K03569	KOfam
-dao:Desac_0681	K03628	KOfam
-dao:Desac_1477	K03798	KOfam
-dao:Desac_1111	K04043	KOfam
-dao:Desac_1918	K04077	KOfam
-dao:Desac_0969	K05606	KOfam
-dao:Desac_2636	K07657	KOfam
-dao:Desac_0556	K07738	KOfam
-dao:Desac_2932	K09903	KOfam
-dao:Desac_2029	K14261	KOfam
-dau:Daud_1772	K01654	KOfam
-dbr:Deba_2928	K02874	KOfam
-deh:cbdb_A892	K01995	KOfam
-deh:cbdb_A1669	K03386	KOfam
-deh:cbdb_A285	K03531	KOfam
-det:DET1187	K00794	KOfam
-det:DET0710	K01358	KOfam
-det:DET0564	K02112	KOfam
-dku:Desku_1232	K00626	KOfam
-dku:Desku_1358	K01677	KOfam
-dku:Desku_2030	K04488	KOfam
-dly:Dehly_0526	K01858	KOfam
-dly:Dehly_1603	K03325	KOfam
-dly:Dehly_0323	K03427	KOfam
-dol:Dole_2882	K03325	KOfam
-drm:Dred_2965	K00656	KOfam
-dru:Desru_1906	K02956	KOfam
-dth:DICTH_0253	K07319	KOfam
-dti:Desti_5585	K00297	KOfam
-dti:Desti_4719	K01551	KOfam
-dti:Desti_4720	K01551	KOfam
-dti:Desti_1833	K01848	KOfam
-dti:Desti_4338	K01914	KOfam
-dti:Desti_2888	K01996	KOfam
-dti:Desti_1912	K03738	KOfam
-dti:Desti_2487	K03782	KOfam
-dti:Desti_3788	K06217	KOfam
-dto:TOL2_C36280	K09129	KOfam
-dtu:Dtur_0861	K01734	KOfam
-geb:GM18_2743	K01992	KOfam
-gma:AciX8_1674	K13640	KOfam
-gsk:KN400_1135	K04564	KOfam
-gsu:GSU2858	K02946	KOfam
-gur:Gura_3544	K05772	KOfam
-har:HEAR0241	K02996	KOfam
-hor:Hore_09570	K01818	KOfam
-hor:Hore_12400	K03086	KOfam
-hse:Hsero_0364	K02888	KOfam
-kcr:Kcr_0950	K00027	KOfam
-kcr:Kcr_0543	K01992	KOfam
-kcr:Kcr_1097	K02032	KOfam
-max:MMALV_00330	K03124	KOfam
-mba:Mbar_A2997	K00688	KOfam
-mbg:BN140_1300	K01622	KOfam
-mbg:BN140_0171	K02118	KOfam
-mbn:Mboo_0675	K00172	KOfam
-mbn:Mboo_0729	K00175	KOfam
-mbn:Mboo_0567	K00577	KOfam
-mbn:Mboo_0523	K00758	KOfam
-mbn:Mboo_0680	K01499	KOfam
-mbn:Mboo_1564	K01736	KOfam
-mbn:Mboo_0739	K01755	KOfam
-mbn:Mboo_0656	K01867	KOfam
-mbn:Mboo_1689	K01915	KOfam
-mbn:Mboo_0088	K01933	KOfam
-mbn:Mboo_2140	K01937	KOfam
-mbn:Mboo_1784	K01960	KOfam
-mbn:Mboo_0756	K02003	KOfam
-mbn:Mboo_0265	K02950	KOfam
-mbn:Mboo_0547	K02994	KOfam
-mbn:Mboo_1931	K03042	KOfam
-mbn:Mboo_0555	K03076	KOfam
-mbn:Mboo_1736	K03166	KOfam
-mbn:Mboo_0270	K03265	KOfam
-mbn:Mboo_0588	K03388	KOfam
-mbn:Mboo_1338	K03413	KOfam
-mbn:Mboo_1400	K03622	KOfam
-mbn:Mboo_1798	K03671	KOfam
-mbn:Mboo_1106	K03702	KOfam
-mbn:Mboo_0356	K04487	KOfam
-mbn:Mboo_2125	K04487	KOfam
-mbn:Mboo_1503	K04564	KOfam
-mbn:Mboo_1685	K04751	KOfam
-mbn:Mboo_1392	K04802	KOfam
-mbn:Mboo_1213	K07005	KOfam
-mbn:Mboo_2210	K07021	KOfam
-mbn:Mboo_2070	K07027	KOfam
-mbn:Mboo_1385	K07041	KOfam
-mbn:Mboo_0854	K07075	KOfam
-mbn:Mboo_1643	K07722	KOfam
-mbn:Mboo_0001	K10725	KOfam
-mbn:Mboo_2427	K13525	KOfam
-mcj:MCON_2915	K02867	KOfam
-mcj:MCON_1578	K03136	KOfam
-mcj:MCON_2612	K04564	KOfam
-mcj:MCON_1599	K05570	KOfam
-mcj:MCON_2287	K07034	KOfam
-mel:Metbo_0173	K00794	KOfam
-mel:Metbo_0170	K01704	KOfam
-mel:Metbo_2192	K02877	KOfam
-mel:Metbo_2222	K03420	KOfam
-mel:Metbo_0166	K04483	KOfam
-mer:H729_02595	K02929	KOfam
-mer:H729_06875	K02946	KOfam
-mer:H729_03515	K02948	KOfam
-mer:H729_07635	K09721	KOfam
-mev:Metev_0789	K01971	KOfam
-mew:MSWAN_0553	K00973	KOfam
-mew:MSWAN_0894	K01641	KOfam
-mew:MSWAN_0395	K02601	KOfam
-mew:MSWAN_1461	K02961	KOfam
-mew:MSWAN_2282	K03056	KOfam
-mew:MSWAN_1463	K03113	KOfam
-mew:MSWAN_2297	K03718	KOfam
-mew:MSWAN_0004	K03744	KOfam
-mew:MSWAN_1243	K05601	KOfam
-mez:Mtc_0573	K00052	KOfam
-mez:Mtc_0274	K00054	KOfam
-mez:Mtc_0048	K00058	KOfam
-mez:Mtc_0908	K00399	KOfam
-mez:Mtc_0756	K00525	KOfam
-mez:Mtc_0455	K00610	KOfam
-mez:Mtc_0206	K00721	KOfam
-mez:Mtc_1043	K01251	KOfam
-mez:Mtc_2501	K01624	KOfam
-mez:Mtc_1843	K01733	KOfam
-mez:Mtc_1258	K01756	KOfam
-mez:Mtc_2047	K01990	KOfam
-mez:Mtc_2093	K01990	KOfam
-mez:Mtc_2208	K02434	KOfam
-mez:Mtc_2319	K02500	KOfam
-mez:Mtc_1051	K02626	KOfam
-mez:Mtc_1421	K02863	KOfam
-mez:Mtc_1533	K02948	KOfam
-mez:Mtc_1332	K02961	KOfam
-mez:Mtc_2145	K03044	KOfam
-mez:Mtc_1346	K03076	KOfam
-mez:Mtc_1664	K03531	KOfam
-mez:Mtc_1154	K04043	KOfam
-mez:Mtc_0861	K04798	KOfam
-mez:Mtc_2286	K07021	KOfam
-mez:Mtc_1231	K09123	KOfam
-mez:Mtc_2079	K09731	KOfam
-mez:Mtc_0160	K11261	KOfam
-mez:Mtc_0225	K13525	KOfam
-mez:Mtc_2375	K14475	KOfam
-mfo:Metfor_1665	K00027	KOfam
-mfo:Metfor_2711	K00053	KOfam
-mfo:Metfor_0677	K00123	KOfam
-mfo:Metfor_0678	K00125	KOfam
-mfo:Metfor_2909	K00169	KOfam
-mfo:Metfor_2322	K00174	KOfam
-mfo:Metfor_0685	K00200	KOfam
-mfo:Metfor_0215	K00400	KOfam
-mfo:Metfor_2766	K00400	KOfam
-mfo:Metfor_1187	K00527	KOfam
-mfo:Metfor_0530	K00600	KOfam
-mfo:Metfor_0024	K00626	KOfam
-mfo:Metfor_0291	K00762	KOfam
-mfo:Metfor_0031	K00765	KOfam
-mfo:Metfor_0008	K00809	KOfam
-mfo:Metfor_0058	K00928	KOfam
-mfo:Metfor_0082	K00930	KOfam
-mfo:Metfor_0588	K01007	KOfam
-mfo:Metfor_2547	K01251	KOfam
-mfo:Metfor_2574	K01493	KOfam
-mfo:Metfor_0116	K01588	KOfam
-mfo:Metfor_0009	K01591	KOfam
-mfo:Metfor_2181	K01601	KOfam
-mfo:Metfor_1167	K01649	KOfam
-mfo:Metfor_1684	K01652	KOfam
-mfo:Metfor_2891	K01696	KOfam
-mfo:Metfor_0778	K01703	KOfam
-mfo:Metfor_1775	K01714	KOfam
-mfo:Metfor_2527	K01733	KOfam
-mfo:Metfor_2146	K01756	KOfam
-mfo:Metfor_0185	K01866	KOfam
-mfo:Metfor_1278	K01873	KOfam
-mfo:Metfor_1266	K01874	KOfam
-mfo:Metfor_1727	K01875	KOfam
-mfo:Metfor_0086	K01895	KOfam
-mfo:Metfor_2501	K01912	KOfam
-mfo:Metfor_2111	K01955	KOfam
-mfo:Metfor_1317	K01959	KOfam
-mfo:Metfor_0368	K01990	KOfam
-mfo:Metfor_2274	K01990	KOfam
-mfo:Metfor_0092	K02003	KOfam
-mfo:Metfor_0508	K02004	KOfam
-mfo:Metfor_2079	K02036	KOfam
-mfo:Metfor_0315	K02117	KOfam
-mfo:Metfor_0259	K02118	KOfam
-mfo:Metfor_0260	K02120	KOfam
-mfo:Metfor_0317	K02120	KOfam
-mfo:Metfor_0314	K02122	KOfam
-mfo:Metfor_2509	K02233	KOfam
-mfo:Metfor_0140	K02323	KOfam
-mfo:Metfor_2232	K02470	KOfam
-mfo:Metfor_2544	K02585	KOfam
-mfo:Metfor_1032	K02600	KOfam
-mfo:Metfor_0403	K02601	KOfam
-mfo:Metfor_2645	K02874	KOfam
-mfo:Metfor_2652	K02886	KOfam
-mfo:Metfor_2634	K02907	KOfam
-mfo:Metfor_1031	K02908	KOfam
-mfo:Metfor_1162	K02921	KOfam
-mfo:Metfor_2654	K02930	KOfam
-mfo:Metfor_2642	K02931	KOfam
-mfo:Metfor_2643	K02987	KOfam
-mfo:Metfor_2635	K02988	KOfam
-mfo:Metfor_2833	K02992	KOfam
-mfo:Metfor_1029	K03041	KOfam
-mfo:Metfor_2868	K03049	KOfam
-mfo:Metfor_1113	K03051	KOfam
-mfo:Metfor_1109	K03106	KOfam
-mfo:Metfor_1621	K03147	KOfam
-mfo:Metfor_1293	K03167	KOfam
-mfo:Metfor_2512	K03231	KOfam
-mfo:Metfor_2832	K03234	KOfam
-mfo:Metfor_2709	K03238	KOfam
-mfo:Metfor_2866	K03242	KOfam
-mfo:Metfor_0356	K03243	KOfam
-mfo:Metfor_1227	K03320	KOfam
-mfo:Metfor_2721	K03325	KOfam
-mfo:Metfor_2601	K03390	KOfam
-mfo:Metfor_1535	K03420	KOfam
-mfo:Metfor_0801	K03517	KOfam
-mfo:Metfor_0401	K03531	KOfam
-mfo:Metfor_0294	K04076	KOfam
-mfo:Metfor_0752	K04483	KOfam
-mfo:Metfor_2277	K04794	KOfam
-mfo:Metfor_0049	K04796	KOfam
-mfo:Metfor_1107	K04797	KOfam
-mfo:Metfor_1165	K04798	KOfam
-mfo:Metfor_1352	K04801	KOfam
-mfo:Metfor_0171	K06215	KOfam
-mfo:Metfor_1987	K06868	KOfam
-mfo:Metfor_0468	K06883	KOfam
-mfo:Metfor_1282	K06942	KOfam
-mfo:Metfor_0747	K06943	KOfam
-mfo:Metfor_0183	K06961	KOfam
-mfo:Metfor_2898	K07053	KOfam
-mfo:Metfor_0793	K07129	KOfam
-mfo:Metfor_2075	K07220	KOfam
-mfo:Metfor_1513	K07332	KOfam
-mfo:Metfor_1626	K07463	KOfam
-mfo:Metfor_1114	K07572	KOfam
-mfo:Metfor_0050	K07575	KOfam
-mfo:Metfor_0748	K07744	KOfam
-mfo:Metfor_2853	K09013	KOfam
-mfo:Metfor_2414	K09731	KOfam
-mfo:Metfor_2533	K10725	KOfam
-mfo:Metfor_1620	K13525	KOfam
-mfo:Metfor_1161	K14574	KOfam
-mfo:Metfor_2280	K14654	KOfam
-mfo:Metfor_1589	K16306	KOfam
-mfo:Metfor_2712	K17488	KOfam
-mfo:Metfor_0216	K17686	KOfam
-mfv:Mfer_0647	K02950	KOfam
-mhi:Mhar_1955	K02979	KOfam
-mhu:Mhun_2132	K01711	KOfam
-mhu:Mhun_2983	K02036	KOfam
-mhu:Mhun_2734	K03386	KOfam
-mox:DAMO_1348	K01156	KOfam
-mox:DAMO_2049	K01156	KOfam
-mpa:MAP2456c	K02110	KOfam
-mpd:MCP_0189	K00096	KOfam
-mpd:MCP_0989	K00266	KOfam
-mpd:MCP_0990	K00528	KOfam
-mpd:MCP_1463	K00789	KOfam
-mpd:MCP_2300	K01159	KOfam
-mpd:MCP_0097	K01493	KOfam
-mpd:MCP_2747	K01641	KOfam
-mpd:MCP_2715	K01711	KOfam
-mpd:MCP_1746	K01875	KOfam
-mpd:MCP_1853	K01881	KOfam
-mpd:MCP_1629	K01885	KOfam
-mpd:MCP_1192	K01912	KOfam
-mpd:MCP_0497	K01937	KOfam
-mpd:MCP_2597	K01945	KOfam
-mpd:MCP_0200	K01955	KOfam
-mpd:MCP_2334	K02003	KOfam
-mpd:MCP_2290	K02117	KOfam
-mpd:MCP_0903	K02587	KOfam
-mpd:MCP_1226	K02946	KOfam
-mpd:MCP_0724	K03051	KOfam
-mpd:MCP_0008	K03110	KOfam
-mpd:MCP_0130	K03120	KOfam
-mpd:MCP_0011	K03264	KOfam
-mpd:MCP_2768	K03388	KOfam
-mpd:MCP_0253	K03420	KOfam
-mpd:MCP_0513	K03422	KOfam
-mpd:MCP_0187	K03768	KOfam
-mpd:MCP_2481	K06863	KOfam
-mpd:MCP_2482	K06863	KOfam
-mpd:MCP_2170	K06998	KOfam
-mpd:MCP_2400	K07041	KOfam
-mpd:MCP_2483	K07137	KOfam
-mpd:MCP_1531	K07178	KOfam
-mpd:MCP_1072	K07722	KOfam
-mpd:MCP_2477	K08289	KOfam
-mpd:MCP_0554	K09136	KOfam
-mpd:MCP_0106	K09141	KOfam
-mpd:MCP_0019	K09721	KOfam
-mpd:MCP_0001	K10725	KOfam
-mpd:MCP_2627	K11600	KOfam
-mpd:MCP_2819	K13525	KOfam
-mpd:MCP_1669	K16306	KOfam
-mpd:MCP_1961	K16792	KOfam
-mpg:Theba_0075	K03781	KOfam
-mpl:Mpal_2447	K01581	KOfam
-mpl:Mpal_2220	K01990	KOfam
-mpl:Mpal_0929	K02474	KOfam
-mpl:Mpal_0331	K03124	KOfam
-mpl:Mpal_0662	K06001	KOfam
-mru:mru_0714	K03124	KOfam
-msl:Msil_0269	K02956	KOfam
-mta:Moth_0266	K01689	KOfam
-mta:Moth_2087	K05520	KOfam
-mth:MTH373	K01710	KOfam
-mtp:Mthe_1277	K06001	KOfam
-mtp:Mthe_0247	K15900	KOfam
-mzh:Mzhil_1858	K04488	KOfam
-nde:NIDE1683	K03768	KOfam
-nga:Ngar_c29130	K03427	KOfam
-nha:Nham_4367	K01632	KOfam
-nmr:Nmar_0598	K03120	KOfam
-noc:Noc_1568	K07171	KOfam
-noc:Noc_0768	K07491	KOfam
-nwi:Nwi_0269	K03427	KOfam
-opr:Ocepr_1553	K01668	KOfam
-pca:Pcar_1534	K01738	KOfam
-pca:Pcar_1919	K09903	KOfam
-pcu:pc0209	K02950	KOfam
-pcu:pc0431	K02952	KOfam
-phl:KKY_2035	K07729	KOfam
-ppu:PP_2229	K05560	KOfam
-pth:PTH_0975	K01698	KOfam
-pth:PTH_2867	K01886	KOfam
-pth:PTH_0336	K02988	KOfam
-pth:PTH_2596	K12339	KOfam
-rci:RCIX2062	K00402	KOfam
-rci:RCIX1564	K04488	KOfam
-rmg:Rhom172_1813	K01710	KOfam
-sat:SYN_02589	K01955	KOfam
-sat:SYN_01352	K02899	KOfam
-sat:SYN_01527	K03100	KOfam
-sat:SYN_02187	K03596	KOfam
-sat:SYN_00838	K05773	KOfam
-sat:SYN_01654	K07539	KOfam
-sba:Sulba_2061	K02919	KOfam
-sfu:Sfum_0366	K01251	KOfam
-sfu:Sfum_2687	K01938	KOfam
-sfu:Sfum_3619	K01951	KOfam
-sfu:Sfum_3497	K02011	KOfam
-sfu:Sfum_3495	K02012	KOfam
-sfu:Sfum_1567	K02931	KOfam
-ssz:SCc_585	K02871	KOfam
-sti:Sthe_1107	K01712	KOfam
-sti:Sthe_1292	K01923	KOfam
-stq:Spith_0267	K01915	KOfam
-sud:ST398NM01_1708	K02899	KOfam
-sus:Acid_6481	K02003	KOfam
-sus:Acid_2029	K03628	KOfam
-sus:Acid_4640	K09690	KOfam
-tae:TepiRe1_0546	K01678	KOfam
-tid:Thein_2201	K01251	KOfam
-tjr:TherJR_0010	K06215	KOfam
-tlt:OCC_02277	K01848	KOfam
-tnp:Tnap_0342	K01921	KOfam
-toc:Toce_0144	K02952	KOfam
-tpz:Tph_c10090	K00925	KOfam
-tro:trd_1300	K04077	KOfam
-trs:Terro_3850	K02112	KOfam
-tte:TTE1217	K01848	KOfam
-tte:TTE2273	K02876	KOfam
-ttm:Tthe_1701	K16786	KOfam
-ttr:Tter_0725	K02874	KOfam
-tye:THEYE_A1689	K03427	KOfam
diff --git a/anvio/tests/sandbox/data/metagenomes/human_gut/IGD_SUBSET/CONTIGS.db b/anvio/tests/sandbox/data/metagenomes/human_gut/IGD_SUBSET/CONTIGS.db
index 5fa122554bcd1b0c9ca20c3ce0377b0554640279..8e179ed26f68cea1992bddc6dd871c817c361375 100644
GIT binary patch
delta 149453
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diff --git a/anvio/tests/sandbox/example_matrix_with_missing_data.txt b/anvio/tests/sandbox/example_matrix_with_missing_data.txt
deleted file mode 100644
index e052238055..0000000000
--- a/anvio/tests/sandbox/example_matrix_with_missing_data.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-	S1	S2	S3
-INV_01	5	6	1
-INV_02	9		4
-INV_05	9	1	4
-INV_03		1	9
diff --git a/anvio/tests/sandbox/files_for_indel_testing/large/contig.fa b/anvio/tests/sandbox/files_for_indel_testing/large/contig.fa
index 2e43cf0cf3..05d41a662b 100644
--- a/anvio/tests/sandbox/files_for_indel_testing/large/contig.fa
+++ b/anvio/tests/sandbox/files_for_indel_testing/large/contig.fa
@@ -1,2 +1,2 @@
->c1
+>1
 CCCGAGCCGCGGAACCGATTAGGACCATGTACAACAATACTTATTAGTCATCTTTTAGACACAATCTCCCTGCTCAGTGGTATATGGTTTTTGCTATAATTAGCCACCCTCATAAGTTGCACTACTTCTGCGACCCAAATGCACCCTTACCACGAAGACAGGATTGTCCGATCCTATATTACGACTTTGGCAGGGGGTTCGCAAGTCCCACCCCAAACGATGCTGAAGGCTCAGGTTACACAGGCACAAGTACTATATATACGAGTTCCCGCTCTTAACCTGGATCGAATGCAGAATCATGCATCGTACCACTGTGTTCGTGTCATCTAGGACGGGCGCAAAGGATATATAATTCAATTAAGAATACCTTATATTATTGTACACCTACCGGTCACCAGCCAACAATGTGCGGATGGCGTTACGACTTACTGGGCCTGATCTCACCGCTTTAGATACCGCACACTGGGCAATACGAGGTAAAGCCAGTCACCCAGTGTCGATCAACAGCTAACGTAACGGTAAGAGGCTCACAAAATCGCACTGTCGGCGTCCCTTGGGTATTTTACGTTAGCATCAGGTGGACTAGCATGAATCTTTACTCCCAGGCGAAAACGGGTGCGTGGACAAGCGAGCAGCAAACGAAAATTCTTGGCCTGCTTGGTGTCTCGTATTTCTCTTGGAGATCGAGGAAATGTTTCATGACCAAGGGAAAGGTCGCCCTACGAAATAGATTTGCGTTACTGTCTGCATAAGGAGTCCGGTGTAGCGAAGGATGAAGGCGACCCTAGGTAGCAACCGCCGGCTTCGGCGGTAAGGTATCACTCAGGAAGCAGACACAGAAAGACACGGTCTAGCAGATCGTTTATCGGCTAGGTCAAATAGAGTGCTTTGATATCAGCATGTCTAGCTTTAGAATTCAGTTTAGTGCGCTGATCTGAGTCGAGATAAAATCACCAGTACCCAAAACCAGGCGGGCTCGCCACGTTGGCTAATCCTGGTA
diff --git a/anvio/tests/sandbox/update-contigs-and-bams-for-mini-test/00_README.md b/anvio/tests/sandbox/update-contigs-and-bams-for-mini-test/00_README.md
index 4ebbb4fb4c..1f1ffd42c3 100644
--- a/anvio/tests/sandbox/update-contigs-and-bams-for-mini-test/00_README.md
+++ b/anvio/tests/sandbox/update-contigs-and-bams-for-mini-test/00_README.md
@@ -17,7 +17,7 @@ for this to run. If you don't have reads-for-assembly, you can get it this way:
 
 Only contigs in `_orig.fa` files are going to be used for read recruitment. Which
 means, you can copy a contig into a new file that does not end with `_orig.fa`,
-create a variant of it by modifying it with nucleotide-level or structural changes,
+create a variant of it by modifying it wiht nucleotide-level or structural changes,
 and set the desired coverage of this new variant in a given sample by mentioning
 it in an `.ini` file.
 
diff --git a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/genes.hmm.gz b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/genes.hmm.gz
deleted file mode 100644
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diff --git a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/genes.txt b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/genes.txt
deleted file mode 100644
index 6c7ef3f4f8..0000000000
--- a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/genes.txt
+++ /dev/null
@@ -1,2 +0,0 @@
-gene	accession	hmmsource
-Ribosomal_L16	PF00252.21	pfam.xfam.org
diff --git a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/kind.txt b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/kind.txt
deleted file mode 100644
index 9522a6ee56..0000000000
--- a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/kind.txt
+++ /dev/null
@@ -1 +0,0 @@
-Ribosomal_L16
diff --git a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/noise_cutoff_terms.txt b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/noise_cutoff_terms.txt
deleted file mode 100644
index 6c525407aa..0000000000
--- a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/noise_cutoff_terms.txt
+++ /dev/null
@@ -1 +0,0 @@
---cut_ga
diff --git a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/reference.txt b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/reference.txt
deleted file mode 100644
index 1ea379ddbe..0000000000
--- a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/reference.txt
+++ /dev/null
@@ -1 +0,0 @@
-Anvi'o User, http://localhost
diff --git a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/target.txt b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/target.txt
deleted file mode 100644
index d5432bea97..0000000000
--- a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/target.txt
+++ /dev/null
@@ -1 +0,0 @@
-AA:GENE
diff --git a/anvio/tests/sandbox/workflows/ecophylo/contigs/sampleB_thetaiotamicron_Ribosomal_L16.fasta b/anvio/tests/sandbox/workflows/ecophylo/contigs/sampleB_thetaiotamicron_Ribosomal_L16.fasta
deleted file mode 100644
index b968d0bb04..0000000000
--- a/anvio/tests/sandbox/workflows/ecophylo/contigs/sampleB_thetaiotamicron_Ribosomal_L16.fasta
+++ /dev/null
@@ -1,2 +0,0 @@
->sampleB_thetaiotamicron_Ribosomal_L16
-ATGTTACAACCGAAAAAGACAAAATTCAGAAGACAACAAAAAGGCCGTGCAAAAGGTAATGCCCAGAGAGGTAACCAGCTGGCTTTCGGTTCTTTTGGCATTAAGGCTTTGGAAACTAAATGGATTACAGGCCGTCAGATCGAAGCTGCTCGTATTGCAGTAACAAGATATATGCAACGTCAAGGACAGATCTGGATCCGTATATTCCCGGATAAACCAATTACTAGAAAACCTGCCGATGTGCGTATGGGTAAAGGTAAAGGTGCTCCCGAGGGATTTGTGGCTCCTGTAACTCCAGGTAGAATCATTATTGAAGCTGAAGGAGTATCTTACGAAATCGCGAAAGAAGCATTGCGCTTAGCTGCTCAAAAGCTTCCTATTACAACGAAGTTTGTCGTAAGACGTGATTATGATATTCAAAATCAAAATGCGTAA
diff --git a/anvio/tests/sandbox/workflows/ecophylo/contigs/sample_IGD_SUBSET_Ribosomal_L16.fasta b/anvio/tests/sandbox/workflows/ecophylo/contigs/sample_IGD_SUBSET_Ribosomal_L16.fasta
deleted file mode 100644
index d3a976788f..0000000000
--- a/anvio/tests/sandbox/workflows/ecophylo/contigs/sample_IGD_SUBSET_Ribosomal_L16.fasta
+++ /dev/null
@@ -1,2 +0,0 @@
->sample_IGD_SUBSET_Ribosomal_L16
-ATGTTACTACCAAAACGTGTAAAATATCGTCGTCAGCATCGTCCAAAAACAACTGGTCGTTCTAAAGGCGGTAACTACGTAACATTTGGTGAGTATGGATTACAAGCTACAACTACATCTTGGATCACATCTCGTCAAATCGAATCAGCTCGTATTGCAATGACACGTTACATGAAACGTGGCGGGAAAGTTTGGATTAAAATCTTCCCTCATACACCATATACTAAAAAACCTTTAGAAGTACGTATGGGTGCTGGTAAAGGTGCGGTTGAAGGCTGGATAGCAGTTGTTAAACCTGGTAGAATTTTATTCGAAGTAGCTGGTGTACCTGAAGAAGTTGCTCGTGAAGCATTACGTTTAGCAAGTCACAAACTTCCAGTAAAATCTAAGTTTGTAAAACGTGAAGAATTGGGTGGTGAAACAAATGAAAGCTAA
diff --git a/anvio/tests/sandbox/workflows/ecophylo/contigs/sample_P_marinus_Ribosomal_L16.fasta b/anvio/tests/sandbox/workflows/ecophylo/contigs/sample_P_marinus_Ribosomal_L16.fasta
deleted file mode 100644
index 13a5702253..0000000000
--- a/anvio/tests/sandbox/workflows/ecophylo/contigs/sample_P_marinus_Ribosomal_L16.fasta
+++ /dev/null
@@ -1,2 +0,0 @@
->sample_P_marinus_Ribosomal_L16
-ATGCTTAGTCCAAAACGTACTAAATTTCGTAAGCAGCAACGCGGTCGCATGAGAGGCGTTGCTACTAGAGGCAATAAAATTGCTTTTGGTCAGTTTGCTTTACAAGCCCAAGAGTGTGGCTGGATTACATCAAGACAGATTGAAGCAAGTCGTAGGGCTATGACTCGATATGTCAAGCGTGGTGGGCAAATATGGATTCGTATTTTCCCGGACAAACCAGTCACAATGAGGCCTGCCGAAACTCGTATGGGCTCAGGAAAAGGTAATCCTGAATTTTGGGTTGCTGTTGTAAAGCCTGGCCGAATACTTTTTGAAATGGGTGGAGAAGAAATCACTGAGGAAATTGCTAAAGAAGCAATGCGTCTTGCTCAGTACAAGCTTCCAATAAAAACAAAATTCTTGGCATTAGCTGAAGGAGAGAAGCCTACTCAAGTTGGTAAGGCGCCTCCAAAGTCATCATTCTTGCCCTCAGATGAAACTGAAACTGCTGCTGCTCAGGCTGGCACTGAAGCGTCTAGTGCATCATCAGTTACCCCCTTGGAGTCTTAA
diff --git a/anvio/tests/sandbox/workflows/ecophylo/no-samples-txt-config.json b/anvio/tests/sandbox/workflows/ecophylo/no-samples-txt-config.json
deleted file mode 100644
index 12102767d3..0000000000
--- a/anvio/tests/sandbox/workflows/ecophylo/no-samples-txt-config.json
+++ /dev/null
@@ -1,119 +0,0 @@
-{
-    "metagenomes": "metagenomes.txt",
-    "external_genomes": "external-genomes.txt",
-    "hmm_list": "hmm_list.txt",
-    "samples_txt": "",
-    "cluster_representative_method": {
-        "method": "mmseqs"
-    },
-    "anvi_run_hmms_hmmsearch": {
-        "threads": 5,
-        "additional_params": ""
-    },
-    "filter_hmm_hits_by_query_coverage": {
-        "threads": 5,
-        "--query-coverage": 0.8,
-        "additional_params": ""
-    },
-    "anvi_get_sequences_for_hmm_hits": {
-        "threads": 2
-    },
-    "simplify_names_from_hmm_hits": {
-        "threads": 2
-    },
-    "combine_sequence_data": {
-        "threads": 2
-    },
-    "anvi_get_external_gene_calls_file": {
-        "threads": 5
-    },
-    "cat_external_gene_calls_file": {
-        "threads": 2
-    },
-    "cluster_X_percent_sim_mmseqs": {
-        "threads": 5,
-        "--min-seq-id": 0.94
-    },
-    "subset_AA_seqs_with_mmseqs_reps": {
-        "threads": 2
-    },
-    "align_sequences": {
-        "threads": 5,
-        "additional_params": "-maxiters 1 -diags -sv -distance1 kbit20_3"
-    },
-    "trim_alignment": {
-        "threads": 5,
-        "-gappyout": true,
-        "-gt": "",
-        "additional_params": ""
-    },
-    "remove_sequences_with_X_percent_gaps": {
-        "threads": 5,
-        "--max-percentage-gaps": 50
-    },
-    "count_num_sequences_filtered": {
-        "threads": 5
-    },
-    "subset_DNA_reps_with_QCd_AA_reps_for_mapping": {
-        "threads": 2
-    },
-    "subset_external_gene_calls_file_all": {
-        "threads": 2
-    },
-    "make_fasta_txt": {
-        "threads": 5
-    },
-    "fasttree": {
-        "run": true,
-        "threads": 5
-    },
-    "iqtree": {
-        "threads": 5,
-        "-m": "MFP",
-        "run": "",
-        "additional_params": ""
-    },
-    "make_metagenomics_config_file": {
-        "threads": 1
-    },
-    "run_metagenomics_workflow": {
-        "threads": 5,
-        "clusterize": false,
-        "cluster_submission_params": ""
-    },
-    "add_default_collection": {
-        "threads": 5
-    },
-    "anvi_summarize": {
-        "threads": 5
-    },
-    "rename_tree_tips": {
-        "threads": 1
-    },
-    "make_misc_data": {
-        "threads": 2
-    },
-    "anvi_scg_taxonomy": {
-        "threads": 5
-    },
-    "make_anvio_state_file": {
-        "threads": 5
-    },
-    "anvi_import_everything": {
-        "threads": 5
-    },
-    "output_dirs": {
-        "EXTRACTED_RIBO_PROTEINS_DIR": "ECOPHYLO_WORKFLOW/01_REFERENCE_PROTEIN_DATA",
-        "RIBOSOMAL_PROTEIN_FASTAS": "ECOPHYLO_WORKFLOW/02_NR_FASTAS",
-        "MSA": "ECOPHYLO_WORKFLOW/03_MSA",
-        "RIBOSOMAL_PROTEIN_MSA_STATS": "ECOPHYLO_WORKFLOW/04_SEQUENCE_STATS",
-        "TREES": "ECOPHYLO_WORKFLOW/05_TREES",
-        "MISC_DATA": "ECOPHYLO_WORKFLOW/06_MISC_DATA",
-        "SCG_NT_FASTAS": "ECOPHYLO_WORKFLOW/07_SCG_NT_FASTAS",
-        "RIBOSOMAL_PROTEIN_FASTAS_RENAMED": "ECOPHYLO_WORKFLOW/08_RIBOSOMAL_PROTEIN_FASTAS_RENAMED",
-        "LOGS_DIR": "00_LOGS"
-    },
-    "max_threads": "",
-    "config_version": "2",
-    "workflow_name": "ecophylo"
-}
diff --git a/anvio/tests/sandbox/workflows/ecophylo/only-external-genomes-txt-config.json b/anvio/tests/sandbox/workflows/ecophylo/only-external-genomes-txt-config.json
deleted file mode 100644
index 1a2db2d95e..0000000000
--- a/anvio/tests/sandbox/workflows/ecophylo/only-external-genomes-txt-config.json
+++ /dev/null
@@ -1,119 +0,0 @@
-{
-    "metagenomes": "",
-    "external_genomes": "external-genomes.txt",
-    "hmm_list": "hmm_list.txt",
-    "samples_txt": "samples.txt",
-    "cluster_representative_method": {
-        "method": "mmseqs"
-    },
-    "anvi_run_hmms_hmmsearch": {
-        "threads": 5,
-        "additional_params": ""
-    },
-    "filter_hmm_hits_by_query_coverage": {
-        "threads": 5,
-        "--query-coverage": 0.8,
-        "additional_params": ""
-    },
-    "anvi_get_sequences_for_hmm_hits": {
-        "threads": 2
-    },
-    "simplify_names_from_hmm_hits": {
-        "threads": 2
-    },
-    "combine_sequence_data": {
-        "threads": 2
-    },
-    "anvi_get_external_gene_calls_file": {
-        "threads": 5
-    },
-    "cat_external_gene_calls_file": {
-        "threads": 2
-    },
-    "cluster_X_percent_sim_mmseqs": {
-        "threads": 5,
-        "--min-seq-id": 0.94
-    },
-    "subset_AA_seqs_with_mmseqs_reps": {
-        "threads": 2
-    },
-    "align_sequences": {
-        "threads": 5,
-        "additional_params": "-maxiters 1 -diags -sv -distance1 kbit20_3"
-    },
-    "trim_alignment": {
-        "threads": 5,
-        "-gappyout": true,
-        "-gt": "",
-        "additional_params": ""
-    },
-    "remove_sequences_with_X_percent_gaps": {
-        "threads": 5,
-        "--max-percentage-gaps": 50
-    },
-    "count_num_sequences_filtered": {
-        "threads": 5
-    },
-    "subset_DNA_reps_with_QCd_AA_reps_for_mapping": {
-        "threads": 2
-    },
-    "subset_external_gene_calls_file_all": {
-        "threads": 2
-    },
-    "make_fasta_txt": {
-        "threads": 5
-    },
-    "fasttree": {
-        "run": true,
-        "threads": 5
-    },
-    "iqtree": {
-        "threads": 5,
-        "-m": "MFP",
-        "run": "",
-        "additional_params": ""
-    },
-    "make_metagenomics_config_file": {
-        "threads": 1
-    },
-    "run_metagenomics_workflow": {
-        "threads": 5,
-        "clusterize": false,
-        "cluster_submission_params": ""
-    },
-    "add_default_collection": {
-        "threads": 5
-    },
-    "anvi_summarize": {
-        "threads": 5
-    },
-    "rename_tree_tips": {
-        "threads": 1
-    },
-    "make_misc_data": {
-        "threads": 2
-    },
-    "anvi_scg_taxonomy": {
-        "threads": 5
-    },
-    "make_anvio_state_file": {
-        "threads": 5
-    },
-    "anvi_import_everything": {
-        "threads": 5
-    },
-    "output_dirs": {
-        "EXTRACTED_RIBO_PROTEINS_DIR": "ECOPHYLO_WORKFLOW/01_REFERENCE_PROTEIN_DATA",
-        "RIBOSOMAL_PROTEIN_FASTAS": "ECOPHYLO_WORKFLOW/02_NR_FASTAS",
-        "MSA": "ECOPHYLO_WORKFLOW/03_MSA",
-        "RIBOSOMAL_PROTEIN_MSA_STATS": "ECOPHYLO_WORKFLOW/04_SEQUENCE_STATS",
-        "TREES": "ECOPHYLO_WORKFLOW/05_TREES",
-        "MISC_DATA": "ECOPHYLO_WORKFLOW/06_MISC_DATA",
-        "SCG_NT_FASTAS": "ECOPHYLO_WORKFLOW/07_SCG_NT_FASTAS",
-        "RIBOSOMAL_PROTEIN_FASTAS_RENAMED": "ECOPHYLO_WORKFLOW/08_RIBOSOMAL_PROTEIN_FASTAS_RENAMED",
-        "LOGS_DIR": "00_LOGS"
-    },
-    "max_threads": "",
-    "config_version": "2",
-    "workflow_name": "ecophylo"
-}
diff --git a/anvio/tests/sandbox/workflows/ecophylo/only-metagenomes-txt-config.json b/anvio/tests/sandbox/workflows/ecophylo/only-metagenomes-txt-config.json
deleted file mode 100644
index f9ee780057..0000000000
--- a/anvio/tests/sandbox/workflows/ecophylo/only-metagenomes-txt-config.json
+++ /dev/null
@@ -1,119 +0,0 @@
-{
-    "metagenomes": "metagenomes.txt",
-    "external_genomes": "external-genomes.txt",
-    "hmm_list": "hmm_list.txt",
-    "samples_txt": "samples.txt",
-    "cluster_representative_method": {
-        "method": "mmseqs"
-    },
-    "anvi_run_hmms_hmmsearch": {
-        "threads": 5,
-        "additional_params": ""
-    },
-    "filter_hmm_hits_by_query_coverage": {
-        "threads": 5,
-        "--query-coverage": 0.8,
-        "additional_params": ""
-    },
-    "anvi_get_sequences_for_hmm_hits": {
-        "threads": 2
-    },
-    "simplify_names_from_hmm_hits": {
-        "threads": 2
-    },
-    "combine_sequence_data": {
-        "threads": 2
-    },
-    "anvi_get_external_gene_calls_file": {
-        "threads": 5
-    },
-    "cat_external_gene_calls_file": {
-        "threads": 2
-    },
-    "cluster_X_percent_sim_mmseqs": {
-        "threads": 5,
-        "--min-seq-id": 0.94
-    },
-    "subset_AA_seqs_with_mmseqs_reps": {
-        "threads": 2
-    },
-    "align_sequences": {
-        "threads": 5,
-        "additional_params": "-maxiters 1 -diags -sv -distance1 kbit20_3"
-    },
-    "trim_alignment": {
-        "threads": 5,
-        "-gappyout": true,
-        "-gt": "",
-        "additional_params": ""
-    },
-    "remove_sequences_with_X_percent_gaps": {
-        "threads": 5,
-        "--max-percentage-gaps": 50
-    },
-    "count_num_sequences_filtered": {
-        "threads": 5
-    },
-    "subset_DNA_reps_with_QCd_AA_reps_for_mapping": {
-        "threads": 2
-    },
-    "subset_external_gene_calls_file_all": {
-        "threads": 2
-    },
-    "make_fasta_txt": {
-        "threads": 5
-    },
-    "fasttree": {
-        "run": true,
-        "threads": 5
-    },
-    "iqtree": {
-        "threads": 5,
-        "-m": "MFP",
-        "run": "",
-        "additional_params": ""
-    },
-    "make_metagenomics_config_file": {
-        "threads": 1
-    },
-    "run_metagenomics_workflow": {
-        "threads": 5,
-        "clusterize": false,
-        "cluster_submission_params": ""
-    },
-    "add_default_collection": {
-        "threads": 5
-    },
-    "anvi_summarize": {
-        "threads": 5
-    },
-    "rename_tree_tips": {
-        "threads": 1
-    },
-    "make_misc_data": {
-        "threads": 2
-    },
-    "anvi_scg_taxonomy": {
-        "threads": 5
-    },
-    "make_anvio_state_file": {
-        "threads": 5
-    },
-    "anvi_import_everything": {
-        "threads": 5
-    },
-    "output_dirs": {
-        "EXTRACTED_RIBO_PROTEINS_DIR": "ECOPHYLO_WORKFLOW/01_REFERENCE_PROTEIN_DATA",
-        "RIBOSOMAL_PROTEIN_FASTAS": "ECOPHYLO_WORKFLOW/02_NR_FASTAS",
-        "MSA": "ECOPHYLO_WORKFLOW/03_MSA",
-        "RIBOSOMAL_PROTEIN_MSA_STATS": "ECOPHYLO_WORKFLOW/04_SEQUENCE_STATS",
-        "TREES": "ECOPHYLO_WORKFLOW/05_TREES",
-        "MISC_DATA": "ECOPHYLO_WORKFLOW/06_MISC_DATA",
-        "SCG_NT_FASTAS": "ECOPHYLO_WORKFLOW/07_SCG_NT_FASTAS",
-        "RIBOSOMAL_PROTEIN_FASTAS_RENAMED": "ECOPHYLO_WORKFLOW/08_RIBOSOMAL_PROTEIN_FASTAS_RENAMED",
-        "LOGS_DIR": "00_LOGS"
-    },
-    "max_threads": "",
-    "config_version": "2",
-    "workflow_name": "ecophylo"
-}
\ No newline at end of file
diff --git a/anvio/tests/sandbox/workflows/ecophylo/samples/sampleB_thetaiotamicron_Ribosomal_L16.ini b/anvio/tests/sandbox/workflows/ecophylo/samples/sampleB_thetaiotamicron_Ribosomal_L16.ini
deleted file mode 100644
index cda680c192..0000000000
--- a/anvio/tests/sandbox/workflows/ecophylo/samples/sampleB_thetaiotamicron_Ribosomal_L16.ini
+++ /dev/null
@@ -1,9 +0,0 @@
-[general]
-output_sample_name =  output/SAMPLE-01
-insert_size = 50
-insert_size_std = 5
-short_read_length = 100
-error_rate = 0
-
-[../contigs/sampleB_thetaiotamicron_Ribosomal_L16.fasta]
-coverage = 95
diff --git a/anvio/tests/sandbox/workflows/ecophylo/samples/sample_IGD_SUBSET_Ribosomal_L16.ini b/anvio/tests/sandbox/workflows/ecophylo/samples/sample_IGD_SUBSET_Ribosomal_L16.ini
deleted file mode 100644
index c796c2e626..0000000000
--- a/anvio/tests/sandbox/workflows/ecophylo/samples/sample_IGD_SUBSET_Ribosomal_L16.ini
+++ /dev/null
@@ -1,11 +0,0 @@
-[general]
-output_sample_name =  output/sample_IGD_SUBSET_Ribosomal_L16
-insert_size = 50
-insert_size_std = 5
-short_read_length = 100
-error_rate = 0
-
-[../contigs/sample_IGD_SUBSET_Ribosomal_L16.fasta]
-coverage = 50
-
-
diff --git a/anvio/tests/sandbox/workflows/ecophylo/samples/sample_P_marinus_Ribosomal_L16.ini b/anvio/tests/sandbox/workflows/ecophylo/samples/sample_P_marinus_Ribosomal_L16.ini
deleted file mode 100644
index 67efb78e83..0000000000
--- a/anvio/tests/sandbox/workflows/ecophylo/samples/sample_P_marinus_Ribosomal_L16.ini
+++ /dev/null
@@ -1,9 +0,0 @@
-[general]
-output_sample_name =  output/sample_P_marinus_Ribosomal_L16
-insert_size = 50
-insert_size_std = 5
-short_read_length = 100
-error_rate = 0
-
-[../contigs/sample_P_marinus_Ribosomal_L16.fasta]
-coverage = 75
diff --git a/anvio/tests/test-mcg-classifier/config.json b/anvio/tests/test-mcg-classifier/config.json
new file mode 100644
index 0000000000..2c63c08510
--- /dev/null
+++ b/anvio/tests/test-mcg-classifier/config.json
@@ -0,0 +1,2 @@
+{
+}
diff --git a/anvio/tests/test-mcg-classifier/mcg-classifier.snakefile b/anvio/tests/test-mcg-classifier/mcg-classifier.snakefile
new file mode 100644
index 0000000000..acf25f9bbe
--- /dev/null
+++ b/anvio/tests/test-mcg-classifier/mcg-classifier.snakefile
@@ -0,0 +1,108 @@
+'''
+    A test file to test mcg-classifier
+
+    To run it:
+        snakemake -s mcg-classifier.snakefile -p
+'''
+
+configfile: "config.json"
+
+def A(_list, d, default_value = ""):
+    '''
+        A helper function to make sense of config details.
+        string_list is a list of strings (or a single string)
+        d is a dictionary
+
+        this function checks if the strings in x are nested values in y.
+        For example if x = ['a','b','c'] then this function checkes if the
+        value y['a']['b']['c'] exists, if it does then it is returned
+    '''
+    if type(_list) is not list:
+        # converting to list for the cases of only one item
+        _list = [_list]
+    while _list:
+        a = _list.pop(0)
+        if a in d:
+            d = d[a]
+        else:
+            return default_value
+    return d
+
+
+output_dir = A("output_dir", config, "test-output")
+files_dir = A("files_dir", config, "../sandbox/mock_files_for_alons_classifier")
+samples = ["hmp0041", "hmp0062", "hmp0074", "hmp0075", "hmp0079", "hmp0094"]
+
+rule all:
+    input: output_dir + "/mcg.finished"
+
+
+rule gen_contigs_db:
+    """ Generates a contigs database using anvi-gen-contigs-database """
+    log: output_dir + "/TEST-gen_contigs_db.log"
+    # depending on whether human contamination using centrifuge was done
+    # or not, the input to this rule will be the raw assembly or the
+    # filtered.
+    input: files_dir + "/TEST.fa"
+    output:
+        db = output_dir + "/TEST.db",
+    shell: "anvi-gen-contigs-database -f {input} -o {output.db} -n TEST >> {log} 2>&1"
+
+
+rule anvi_init_bam:
+    log: output_dir + "/TEST-{sample}-anvi_init_bam.log"
+    input: files_dir + "/{sample}-RAW.bam"
+    output:
+        bam = output_dir + "/TEST/{sample}.bam",
+        bai = output_dir + "/TEST/{sample}.bam.bai"
+    shell: "anvi-init-bam {input} -o {output.bam} >> {log} 2>&1"
+
+
+rule profile:
+    log: output_dir + "/TEST-{sample}-anvi_profile.log"
+    input:
+        bam = output_dir + "/TEST/{sample}.bam",
+        contigs = output_dir + "/TEST.db"
+    output:
+        profile = output_dir + "/TEST/{sample}/PROFILE.db",
+        aux = output_dir + "/TEST/{sample}/AUXILIARY-DATA.db",
+        runlog = output_dir + "/TEST/{sample}/RUNLOG.txt"
+    params:
+        name = "{sample}",
+        output_dir = output_dir + "/TEST/{sample}"
+    shell: "anvi-profile -c {input.contigs} -i {input.bam} -o {params.output_dir} -S {params.name} --overwrite-output-destinations"
+
+rule merge:
+    log: output_dir + "/TEST-anvi_merge.log"
+    input:
+        profiles = expand(output_dir + "/TEST/{sample}/PROFILE.db", sample=samples),
+        contigs = rules.gen_contigs_db.output.db
+    output:
+        profile = output_dir + "/TEST/MERGED-SAMPLES/PROFILE.db",
+        aux = output_dir + "/TEST/MERGED-SAMPLES/AUXILIARY-DATA.db",
+        runlog = output_dir + "/TEST/MERGED-SAMPLES/RUNLOG.txt"
+    params:
+        output_dir = output_dir + "/TEST/MERGED-SAMPLES",
+        name = "TEST"
+    shell: "anvi-merge {input.profiles} -o {params.output_dir} -c {input.contigs} -S {params.name} --overwrite-output-destinations --skip-concoct-binning >> {log} 2>&1"
+
+
+rule import_collection:
+    log: output_dir + "/TEST-import_collection.log"
+    input:
+        profile = output_dir + "/TEST/MERGED-SAMPLES/PROFILE.db",
+        contigs = output_dir + "/TEST.db"
+    output: touch(output_dir + "/import_collection.done")
+    params: collection = files_dir + "/TEST-COLLECTION.txt"
+    shell: "anvi-import-collection -c {input.contigs} -p {input.profile} {params.collection} -C TEST >> {log} 2>&1"
+
+
+rule run_mcg_classifier:
+    log: output_dir + "/TEST-run_mcg_classifier.log"
+    input:
+        profile = output_dir + "/TEST/MERGED-SAMPLES/PROFILE.db",
+        contigs = output_dir + "/TEST.db"
+    output: touch(output_dir + "/mcg.finished")
+    params:
+        output_prefix= output_dir + "/TEST"
+    shell: "anvi-mcg-classifier -p {input.profile} -c {input.contigs} -O {params.output_prefix} --outliers-threshold 1.5 --alpha 0.05 --gen-figures --zeros-are-outliers -C TEST -b Bin_1 -W --debug >> {log} 2>&1"
diff --git a/anvio/tests/unit/test_Read_class.py b/anvio/tests/unit/test_Read_class.py
new file mode 100644
index 0000000000..157f58cd7e
--- /dev/null
+++ b/anvio/tests/unit/test_Read_class.py
@@ -0,0 +1,164 @@
+#! /usr/bin/env python
+# -*- coding: utf-8
+"""Unit tests for the Read class.
+
+FIXME This class should deal with all the features of the Read class, such as vectorize,
+get_aligned_sequence_and_positions, iterate_cigartuples, etc.
+"""
+
+import copy
+import numpy as np
+import unittest
+
+import anvio
+
+from anvio.bamops import Read
+from anvio.errors import ConfigError
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2019, the Meren Lab (http://merenlab.org/)"
+__credits__ = []
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__maintainer__ = "Evan Kiefl"
+__email__ = "kiefl.evan@gmail.com"
+
+
+class FakePySamAlignedSegment:
+    def __init__(self, **output):
+        for key, v in output.items():
+            setattr(self, key, v)
+
+
+class TestTrim(unittest.TestCase):
+    """
+    CASE #1
+    =======
+    <anvio.bamops.Read object at 0x12b042470>
+     ├── start, end : [0, 8)
+     ├── cigartuple : [(0, 8)]
+     ├── read       : AACCTTGG
+     └── reference  : XXXXXXXX
+
+    CASE #2
+    =======
+    <anvio.bamops.Read object at 0x12b042358>
+     ├── start, end : [0, 4)
+     ├── cigartuple : [(0, 2), (1, 4), (0, 2)]
+     ├── read       : AACCTTGG
+     └── reference  : XX----XX
+
+    CASE #3
+    =======
+    <anvio.bamops.Read object at 0x12b042390>
+     ├── start, end : [0, 7)
+     ├── cigartuple : [(0, 1), (1, 3), (2, 2), (0, 4)]
+     ├── read       : AACC--TTGG
+     └── reference  : X---XXXXXX
+
+    CASE #4
+    =======
+    <anvio.bamops.Read object at 0x12b042400>
+     ├── start, end : [0, 11)
+     ├── cigartuple : [(0, 1), (2, 1), (0, 1), (2, 1), (0, 1), (2, 1), (0, 1), (2, 1), (0, 2), (1, 1), (0, 1)]
+     ├── read       : A-A-C-C-TTGG
+     └── reference  : XXXXXXXXXX-X
+    """
+
+    def setUp(self):
+        self.read_attrs = [
+            {
+                'query_sequence' : 'AACCTTGG',
+                'reference_positions': np.array([0,1,2,3,4,5,6,7]),
+                'reference_start': 0,
+                'reference_end': 8,
+                'cigartuples': np.array([(0,8)]),
+                'trim_by': 3,
+                'output_tuples_left': np.array([(0,5)]),
+                'output_sequence_left': 'CTTGG',
+                'output_reference_positions_left': np.array([3,4,5,6,7]),
+                'output_tuples_right': np.array([(0,5)]),
+                'output_sequence_right': 'AACCT',
+                'output_reference_positions_right': np.array([0,1,2,3,4]),
+            },
+            {
+                'query_sequence' : 'AACCTTGG',
+                'reference_positions': np.array([0,1,2,3]),
+                'reference_start': 0,
+                'reference_end': 4,
+                'cigartuples': np.array([(0,2), (1,4), (0,2)]),
+                'trim_by': 3,
+                'output_tuples_left': np.array([(0,1)]),
+                'output_sequence_left': 'G',
+                'output_reference_positions_left': np.array([3]),
+                'output_tuples_right': np.array([(0,1)]),
+                'output_sequence_right': 'A',
+                'output_reference_positions_right': np.array([0]),
+            },
+            {
+                'query_sequence' : 'AACCTTGG',
+                'reference_positions': [0,3,4,5,6],
+                'reference_start': 0,
+                'reference_end': 7,
+                'cigartuples': np.array([(0,1), (1,3), (2,2), (0,4)]),
+                'trim_by': 3,
+                'output_tuples_left': np.array([(0,4)]),
+                'output_sequence_left': 'TTGG',
+                'output_reference_positions_left': np.array([3,4,5,6]),
+                'output_tuples_right': np.array([(0,1), (1,3), (2,2), (0,1)]),
+                'output_sequence_right': 'AACCT',
+                'output_reference_positions_right': np.array([0,3]),
+            },
+            {
+                'query_sequence' : 'AACCTTGG',
+                'reference_positions': np.array([0,2,4,6,8,9,10]),
+                'reference_start': 0,
+                'reference_end': 11,
+                'cigartuples': np.array([(0,1), (2,1), (0,1), (2,1), (0,1), (2,1), (0,1), (2,1), (0,2), (1,1), (0,1)]),
+                'trim_by': 3,
+                'output_tuples_left': np.array([(0,1), (2,1), (0,1), (2,1), (0,2), (1,1), (0,1)]),
+                'output_sequence_left': 'CCTTGG',
+                'output_reference_positions_left': np.array([4,6,8,9,10]),
+                'output_tuples_right': np.array([(0,1), (2,1), (0,1), (2,1), (0,1), (2,1), (0,1)]),
+                'output_sequence_right': 'AACC',
+                'output_reference_positions_right': np.array([0,2,4,6]),
+            },
+        ]
+
+        self.reads = {}
+        for i, attributes in enumerate(self.read_attrs):
+            pysam_read = FakePySamAlignedSegment(**attributes)
+            self.reads[i] = Read(pysam_read)
+
+
+    def test_trim(self):
+        for target in range(len(self.reads)):
+            print("\n\nWorking on target %d:\n%s" % (target, self.reads[target]))
+            attrs = self.read_attrs[target]
+
+            print("Trimming left ...")
+            read = copy.deepcopy(self.reads[target])
+            read.trim(attrs['trim_by'], side='left')
+            print("After trimming left by %d:\n%s" % (attrs['trim_by'], read))
+            self.assertEqual(read.cigartuples.tolist(), attrs['output_tuples_left'].tolist())
+
+            print("Trimming right ...")
+            read = copy.deepcopy(self.reads[target])
+            read.trim(attrs['trim_by'], side='right')
+            print("After trimming right by %d:\n%s" % (attrs['trim_by'], read))
+            self.assertEqual(read.cigartuples.tolist(), attrs['output_tuples_right'].tolist())
+
+
+class TestCaseStudy1(unittest.TestCase):
+    def test_case_study_1(self):
+        d = {'gene_overlap_start': 9460, 'gene_overlap_end': 9481, 'cigartuples': [(0, 20), (2, 3), (0, 14), (1, 1), (0, 19), (1, 2), (0, 45)], 'reference_start': 9460, 'reference_end': 9561, 'reference_positions': [9460, 9461, 9462, 9463, 9464, 9465, 9466, 9467, 9468, 9469, 9470, 9471, 9472, 9473, 9474, 9475, 9476, 9477, 9478, 9479, 9483, 9484, 9485, 9486, 9487, 9488, 9489, 9490, 9491, 9492, 9493, 9494, 9495, 9496, 9497, 9498, 9499, 9500, 9501, 9502, 9503, 9504, 9505, 9506, 9507, 9508, 9509, 9510, 9511, 9512, 9513, 9514, 9515, 9516, 9517, 9518, 9519, 9520, 9521, 9522, 9523, 9524, 9525, 9526, 9527, 9528, 9529, 9530, 9531, 9532, 9533, 9534, 9535, 9536, 9537, 9538, 9539, 9540, 9541, 9542, 9543, 9544, 9545, 9546, 9547, 9548, 9549, 9550, 9551, 9552, 9553, 9554, 9555, 9556, 9557, 9558, 9559, 9560], 'query_sequence': 'ACTAGTTTCTTACCTCTATAATTCATAGAGAAAGAAAAATTTAATATGCGCCAATTTTTAAAAAAATTGGTGCCTATTTTTTTAACCAAAATTCTAATATA'}
+        read = Read(FakePySamAlignedSegment(**d))
+
+        read2 = copy.copy(read)
+        read2.trim(21, side='left')
+
+        self.assertEqual(read2.cigartuples.tolist(), np.array([(0, 14), (1, 1), (0, 19), (1, 2), (0, 45)]).tolist())
+
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/anvio/tests/unit/test_anvi_thread.py b/anvio/tests/unit/test_anvi_thread.py
index 875ca5a375..60999795ee 100644
--- a/anvio/tests/unit/test_anvi_thread.py
+++ b/anvio/tests/unit/test_anvi_thread.py
@@ -47,6 +47,3 @@ def test_failing_program(self):
         thread = run_script_in_thread(self.command_runner, self.failing_script)
 
         self.assertEqual(thread.target_return_value, self.failing_exit_code)
-
-if __name__ == '__main__':
-    unittest.main()
diff --git a/anvio/trnaidentifier.py b/anvio/trnaidentifier.py
index 0a41fd94aa..f3caac4949 100644
--- a/anvio/trnaidentifier.py
+++ b/anvio/trnaidentifier.py
@@ -1572,21 +1572,21 @@ def profile(self, input_seq, name=''):
             # chimeras of abundant tRNA species can recruit large numbers of other sequences during
             # normalized and modified sequence formation, as chimeras are often among the longest
             # sequences, which are "favored" in these processes. In turn, chimeric normalized and
-            # modified sequences become tRNA seeds (contigs) in `anvi-merge-trnaseq`. Chimeric
-            # sequences containing a full-length tRNA at the 3' end -- which appear to be relatively
-            # rare -- are difficult to distinguish from pre-tRNA, as both have a long 5' extension.
-            # These chimeras do not impact `anvi-trnaseq` analysis, as bases 5' of the full-length
-            # tRNA are trimmed off. Problematic chimeric sequences containing a fragmentary tRNA at
-            # the 3' end are flagged by comparing *the number of unprofiled 5' bases* to *the
-            # maximum length of the next unprofiled feature in the incomplete feature profile*; when
-            # the former is greater than the latter, the sequence is labeled as not being predicted
-            # tRNA, as the remaining 5' bases cannot be explained as the 3' part of a feature that
-            # cannot be identified. For example, take a sequence of length 85 in which profiling
-            # ends at position 27, which happens to be the 5' end of the D loop, leaving 26
-            # unprofiled bases. The maximum length of the next unprofiled feature, the 5' strand of
-            # the D stem, is 4 (for the sake of simplicity, this is not changed if the 3' strand of
-            # the D stem was found to only have a length of 3). Therefore, the sequence is predicted
-            # to not be tRNA.
+            # modified sequences become tRNA seeds (contigs) in `anvi-convert-trnaseq-database`.
+            # Chimeric sequences containing a full-length tRNA at the 3' end -- which appear to be
+            # relatively rare -- are difficult to distinguish from pre-tRNA, as both have a long 5'
+            # extension. These chimeras do not impact `anvi-trnaseq` analysis, as bases 5' of the
+            # full-length tRNA are trimmed off. Problematic chimeric sequences containing a
+            # fragmentary tRNA at the 3' end are flagged by comparing *the number of unprofiled 5'
+            # bases* to *the maximum length of the next unprofiled feature in the incomplete feature
+            # profile*; when the former is greater than the latter, the sequence is labeled as not
+            # being predicted tRNA, as the remaining 5' bases cannot be explained as the 3' part of
+            # a feature that cannot be identified. For example, take a sequence of length 85 in
+            # which profiling ends at position 27, which happens to be the 5' end of the D loop,
+            # leaving 26 unprofiled bases. The maximum length of the next unprofiled feature, the 5'
+            # strand of the D stem, is 4 (for the sake of simplicity, this is not changed if the 3'
+            # strand of the D stem was found to only have a length of 3). Therefore, the sequence is
+            # predicted to not be tRNA.
             if not profile.has_complete_feature_set and profile.is_predicted_trna:
                 for feature_name in profile.feature_names:
                     try:
diff --git a/anvio/trnaseq.py b/anvio/trnaseq.py
index c9b3264b85..05fee75aae 100644
--- a/anvio/trnaseq.py
+++ b/anvio/trnaseq.py
@@ -2,13 +2,13 @@
 # pylint: disable=line-too-long
 """Library for tRNA-seq dataset operations
 
-`bin/anvi-trnaseq` and `bin/anvi-merge-trnaseq` are the default clients using this module.
-`anvi-trnaseq` instantiates a `TRNASeqDataset` object. `anvi-merge-trnaseq` instantiates a
-`DatabaseMerger` object. The clients call the objects' `process` methods to start the analytic
-workflows.
+`bin/anvi-trnaseq` and `bin/anvi-convert-trnaseq-database` are the default clients using this
+module. `anvi-trnaseq` instantiates a `TRNASeqDataset` object. `anvi-convert-trnaseq-database`
+instantiates a `DatabaseConverter` object. The clients call the objects' `process` methods to start
+the analytic workflows.
 
 Each sequence library in an experiment is processed separately as a `TRNASeqDataset`, storing an
-information-rich anvi'o tRNA-seq database. `DatabaseMerger` finds reference seed sequences from a
+information-rich anvi'o tRNA-seq database. `DatabaseConverter` finds reference seed sequences from a
 set of tRNA-seq databases, storing seeds in an anvi'o contigs database and coverage patterns for
 each dataset in anvi'o profile and auxiliary databases. Contigs and profile databases interface with
 a range of other tools in the anvi'o platform.
@@ -107,7 +107,6 @@
 import sys
 import math
 import time
-import queue
 import random
 import shutil
 import argparse
@@ -115,14 +114,11 @@
 import pandas as pd
 import pickle as pkl
 import multiprocessing as mp
-import matplotlib.pyplot as plt
 
 from hashlib import sha1
 from itertools import chain
 from functools import partial
 from bisect import bisect_left
-from matplotlib.gridspec import GridSpec
-from matplotlib.ticker import MaxNLocator
 from collections import defaultdict, deque, OrderedDict
 
 import anvio
@@ -138,7 +134,6 @@
 import anvio.trnaidentifier as trnaidentifier
 import anvio.auxiliarydataops as auxiliarydataops
 
-from anvio.dbinfo import DBInfo
 from anvio.errors import ConfigError
 from anvio.sequence import Dereplicator
 from anvio.drivers.vmatch import Vmatch
@@ -162,18 +157,13 @@
 
 ALL_NTS = tuple(constants.nucleotides)
 UNAMBIG_NTS = ('A', 'C', 'G', 'T')
-UNAMBIG_NTS_LIST = list(UNAMBIG_NTS)
 NT_INT_DICT = {nt: i for i, nt in enumerate(UNAMBIG_NTS, start=1)}
 INT_NT_DICT = {i: nt for i, nt in enumerate(UNAMBIG_NTS, start=1)}
 # NUM_NT_BINS is used in counting the number of distinct nucleotides (1, 2, 3, or 4) at positions in
 # internally ungapped alignments: there is one bin (value 0) for end gaps in the alignment.
 NUM_NT_BINS = len(UNAMBIG_NTS) + 1
 
-AMINO_ACIDS = constants.amino_acids
 ANTICODON_AA_DICT = constants.anticodon_to_AA
-ANTICODONS = list(ANTICODON_AA_DICT)
-AA_ANTICODON_DICT = constants.AA_to_anticodons
-TRNA_FEATURE_NAMES = constants.TRNA_FEATURE_NAMES
 
 # The user can specify in `anvi-trnaseq` what defines a long (biological vs. non-templated) 5'
 # extension. The variable is set by `TRNASeqDataset.__init__`.
@@ -502,10 +492,10 @@ def __init__(self, string, seqs_U):
         self.name = name = represent_U.name
         categories_U = []
         for seq_U in seqs_U:
-            if isinstance(seq_U, UniqueTransferredProfileSequence):
-                categories_U.append('Us')
-            elif isinstance(seq_U, UniqueFullProfileSequence):
+            if isinstance(seq_U, UniqueFullProfileSequence):
                 categories_U.append('Uf')
+            elif isinstance(seq_U, UniqueTransferredProfileSequence):
+                categories_U.append('Us')
             else:
                 raise Exception(f"A unique sequence with name `{seq_U.name}` of class `{type(seq_U)}` was encountered.")
             seq_U.name_T = name
@@ -1359,6 +1349,7 @@ def init(self, seqs_Nb, seqs_Ni):
 class TRNASeqDataset(object):
     """Processes reads from a tRNA-seq library. `bin/anvi-trnaseq` is the client."""
 
+    TRNA_FEATURE_NAMES = constants.TRNA_FEATURE_NAMES
     RELATIVE_ANTICODON_LOOP_INDEX = TRNA_FEATURE_NAMES.index('anticodon_loop') - len(TRNA_FEATURE_NAMES) + 1
 
     # Column headers for supplementary tables written to text files
@@ -1377,6 +1368,7 @@ class TRNASeqDataset(object):
     ]
 
     def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
+        self.args = args
         self.run = run
         self.progress = progress
 
@@ -1547,7 +1539,7 @@ def process(self):
         total_time_start = time.time()
 
         self.sanity_check()
-        if '' in self.parsed_3prime_termini:
+        if '_' in self.param_3prime_termini:
             global PROFILE_ABSENT_3PRIME_TERMINUS
             PROFILE_ABSENT_3PRIME_TERMINUS = True
 
@@ -1596,7 +1588,7 @@ def process(self):
 
             # Recover Tc as tRNA by comparing to Nf.
             self.threeprime_dereplicate_truncated_sequences()
-            self.report_threeprime_dereplication_statistics()
+            self.report_3prime_derep_stats()
 
             if self.write_checkpoints:
                 self.write_checkpoint_files('normalize')
@@ -1626,8 +1618,8 @@ def process(self):
                 seq_Nf.init([getattr(self, 'dict_' + category_T)[name_T]
                              for category_T, name_T in zip(seq_Nf.categories_T, seq_Nf.names_T)])
             self.progress.end()
-            self.report_mapping_statistics()
-            self.report_initialized_normalized_sequence_coverage_statistics()
+            self.report_map_stats()
+            self.report_N_cov_stats()
 
             if self.write_checkpoints:
                 self.write_checkpoint_files('map_fragments')
@@ -1713,7 +1705,7 @@ def process(self):
 
 
     def sanity_check(self):
-        """Check `anvi-trnaseq` arguments."""
+        """Check `anvi-trnaseq` user inputs."""
         if os.path.exists(self.out_dir):
             self.existing_output_directory_sanity_check()
 
@@ -1733,10 +1725,10 @@ def sanity_check(self):
                               "`--num-threads` wants a value greater than 0. "
                               f"Last we checked, {self.num_threads} is not greater than 0.")
 
-        self.parsed_3prime_termini = self.threeprime_termini_sanity_check()
-        trnaidentifier.TRNAFeatureParameterizer.set_threeprime_termini(self.parsed_3prime_termini)
+        self.param_3prime_termini = self.threeprime_termini_sanity_check()
+        trnaidentifier.TRNAFeatureParameterizer.set_threeprime_termini(self.param_3prime_termini)
         # The following variable is only used as part of a heuristic in `find_indels`.
-        self.max_length_3prime_terminus = max([len(t) for t in self.parsed_3prime_termini])
+        self.max_length_3prime_terminus = max([len(t) for t in self.param_3prime_termini])
 
         self.run.info("Input FASTA file", self.input_fasta_path, nl_after=1)
 
@@ -1849,8 +1841,6 @@ def report_profiling_parameters(self):
                     f.write(get_summary_line(param_name.replace('Number allowed unpaired', "Allowed number of unpaired bps"), param_value))
                     continue
                 f.write(get_summary_line(param_name, param_value))
-            # Use `param_3prime_termini` rather than `parsed_3prime_termini` here to write "_"
-            # rather than "" for an absent 3' terminus.
             f.write(get_summary_line("Allowed 3' termini", ",".join(self.param_3prime_termini)))
             f.write(get_summary_line("Min length of \"long\" 5' extension", MIN_LENGTH_LONG_5PRIME_EXTENSION))
 
@@ -1907,9 +1897,10 @@ def profile_trna(self):
 
         start_time = time.time()
 
+        progress = self.progress
         pid = "Profiling tRNA features in unique reads"
-        self.progress.new(pid)
-        self.progress.update("...")
+        progress.new(pid)
+        progress.update("...")
 
         # Count the number of reads and unique reads that have been added to the multiprocessing
         # input queue.
@@ -1937,8 +1928,8 @@ def profile_trna(self):
         dict_Un = self.dict_Un
         pp_total_uniq_count = pp(len(uniq_read_infos))
         while fetched_profile_count < total_uniq_count:
-            self.progress.update_pid(pid)
-            self.progress.update(f"{pp(input_count + 1)}-{pp(interval_stop)}/{pp_total_uniq_count}")
+            progress.update_pid(pid)
+            progress.update(f"{pp(input_count + 1)}-{pp(interval_stop)}/{pp_total_uniq_count}")
 
             while input_count < interval_stop:
                 for uniq_read_info in uniq_read_infos[interval_start: interval_stop]:
@@ -1977,7 +1968,7 @@ def profile_trna(self):
             f.write(get_summary_line("Reads processed", total_read_count))
             f.write(get_summary_line("Unique seqs processed", total_uniq_count))
 
-        self.progress.end()
+        progress.end()
 
         self.run.info("Reads processed", total_read_count, mc='green')
         self.run.info("Unique seqs processed", total_uniq_count, mc='green')
@@ -2137,65 +2128,61 @@ def report_profile_stats(self):
                 max_reads_Un = read_count
         mean_reads_Un = read_count_Un / seq_count_Un
 
-        warning = self.run.warning
-        info_single = self.run.info_single
-        info = self.run.info
-
-        warning(None, "PROFILING RESULTS", lc='green', nl_before=1)
-        info_single("subject to change -- see summary output file for final results")
-
-        warning(None, "Unique seq counts", lc='cyan')
-        info("tRNA profile", seq_count_Uf)
-        info("Truncated tRNA profile", seq_count_Uc)
-        info("No tRNA profile", seq_count_Un)
-
-        warning(None, "Read counts", lc='cyan')
-        info("tRNA profile", read_count_Uf)
-        info("Truncated tRNA profile", read_count_Uc)
-        info("No tRNA profile", read_count_Un)
-
-        warning(None, "Unique seqs with tRNA profile", lc='cyan')
-        info("Count with anticodon", seq_anticodon_count_Uf)
-        info("Count with complete feature set", seq_complete_count_Uf)
-        info("Mean reads per seq", round(mean_reads_Uf, 1))
-        info("Max reads per seq", max_reads_Uf)
-        info(f"Count with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION - 1} extra 5' nts", seq_short_5prime_count_Uf)
-        info(f"Count with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", seq_long_5prime_count_Uf)
-        info("Mean profiled nt freq", round(mean_seq_profiled_freq_Uf, 3))
-        info("Mean freq of unconserved in profiled nts", round(mean_seq_unconserved_freq_Uf, 4))
-        info("Mean freq of unpaired in stem nts", round(mean_seq_unpaired_freq_Uf, 4))
-        info("Mean extrapolated 5' nt freq", round(mean_seq_extrap_freq_Uf, 3))
-
-        warning(None, "Unique seqs with truncated tRNA profile", lc='cyan')
-        info("Count with anticodon", seq_anticodon_count_Uc)
-        info("Mean reads per seq", round(mean_reads_Uc, 1))
-        info("Max reads per seq", max_reads_Uc)
-        info("Mean profiled nt freq", round(mean_seq_profiled_freq_Uc, 3))
-        info("Mean freq of unconserved in profiled nts", round(mean_seq_unconserved_freq_Uc, 4))
-        info("Mean freq of unpaired in stem nts", round(mean_seq_unpaired_freq_Uc, 4))
-
-        warning(None, "Unique seqs with no tRNA profile", lc='cyan')
-        info("Mean reads per seq", round(mean_reads_Un, 1))
-        info("Max reads per seq", max_reads_Un)
-
-        warning(None, "Reads with tRNA profile", lc='cyan')
-        info("Count with anticodon", read_anticodon_count_Uf)
-        info("Count with complete feature set", read_complete_count_Uf)
-        info("Mean length 3' terminus", round(mean_read_3prime_length_Uf, 1))
-        info(f"Count with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION - 1} extra 5' nts", read_short_5prime_count_Uf)
-        info(f"Count with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", read_long_5prime_count_Uf)
-        info(f"Mean length ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} nt extension", round(mean_read_5prime_length_Uf, 1))
-        info("Mean profiled nt freq", round(mean_read_profiled_freq_Uf, 3))
-        info("Mean freq of unconserved in profiled nts", round(mean_read_unconserved_freq_Uf, 4))
-        info("Mean freq of unpaired in stem nts", round(mean_read_unpaired_freq_Uf, 4))
-        info("Mean extrapolated 5' nt freq", round(mean_read_extrap_freq_Uf, 3))
-
-        warning(None, "Reads with truncated tRNA profile", lc='cyan')
-        info("Spans anticodon", read_anticodon_count_Uc)
-        info("Mean length 3' terminus", round(mean_read_3prime_length_Uc, 1))
-        info("Mean profiled nt freq", round(mean_read_profiled_freq_Uc, 3))
-        info("Mean freq of unconserved in profiled nts", round(mean_read_unconserved_freq_Uc, 4))
-        info("Mean freq of unpaired in stem nts", round(mean_read_unpaired_freq_Uc, 4), nl_after=2 if self.write_checkpoints else 1)
+        run = self.run
+        run.info_single("Results of profiling (subject to change -- see summary output file for final results)", nl_before=2, nl_after=1)
+
+        run.info_single("Unique seq counts")
+        run.info("tRNA profile", seq_count_Uf)
+        run.info("Truncated tRNA profile", seq_count_Uc)
+        run.info("No tRNA profile", seq_count_Un, nl_after=1)
+
+        run.info_single("Read counts")
+        run.info("tRNA profile", read_count_Uf)
+        run.info("Truncated tRNA profile", read_count_Uc)
+        run.info("No tRNA profile", read_count_Un, nl_after=1)
+
+        run.info_single("Unique seqs with tRNA profile")
+        run.info("Count with anticodon", seq_anticodon_count_Uf)
+        run.info("Count with complete feature set", seq_complete_count_Uf)
+        run.info("Mean reads per seq", round(mean_reads_Uf, 1))
+        run.info("Max reads per seq", max_reads_Uf)
+        run.info(f"Count with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION - 1} extra 5' nts", seq_short_5prime_count_Uf)
+        run.info(f"Count with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", seq_long_5prime_count_Uf)
+        run.info("Mean profiled nt freq", round(mean_seq_profiled_freq_Uf, 3))
+        run.info("Mean freq of unconserved in profiled nts", round(mean_seq_unconserved_freq_Uf, 4))
+        run.info("Mean freq of unpaired in stem nts", round(mean_seq_unpaired_freq_Uf, 4))
+        run.info("Mean extrapolated 5' nt freq", round(mean_seq_extrap_freq_Uf, 3), nl_after=1)
+
+        run.info_single("Unique seqs with truncated tRNA profile")
+        run.info("Count with anticodon", seq_anticodon_count_Uc)
+        run.info("Mean reads per seq", round(mean_reads_Uc, 1))
+        run.info("Max reads per seq", max_reads_Uc)
+        run.info("Mean profiled nt freq", round(mean_seq_profiled_freq_Uc, 3))
+        run.info("Mean freq of unconserved in profiled nts", round(mean_seq_unconserved_freq_Uc, 4))
+        run.info("Mean freq of unpaired in stem nts", round(mean_seq_unpaired_freq_Uc, 4), nl_after=1)
+
+        run.info_single("Unique seqs with no tRNA profile")
+        run.info("Mean reads per seq", round(mean_reads_Un, 1))
+        run.info("Max reads per seq", max_reads_Un, nl_after=1)
+
+        run.info_single("Reads with tRNA profile")
+        run.info("Count with anticodon", read_anticodon_count_Uf)
+        run.info("Count with complete feature set", read_complete_count_Uf)
+        run.info("Mean length 3' terminus", round(mean_read_3prime_length_Uf, 1))
+        run.info(f"Count with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION - 1} extra 5' nts", read_short_5prime_count_Uf)
+        run.info(f"Count with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", read_long_5prime_count_Uf)
+        run.info(f"Mean length ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} nt extension", round(mean_read_5prime_length_Uf, 1))
+        run.info("Mean profiled nt freq", round(mean_read_profiled_freq_Uf, 3))
+        run.info("Mean freq of unconserved in profiled nts", round(mean_read_unconserved_freq_Uf, 4))
+        run.info("Mean freq of unpaired in stem nts", round(mean_read_unpaired_freq_Uf, 4))
+        run.info("Mean extrapolated 5' nt freq", round(mean_read_extrap_freq_Uf, 3), nl_after=1)
+
+        run.info_single("Reads with truncated tRNA profile")
+        run.info("Spans anticodon", read_anticodon_count_Uc)
+        run.info("Mean length 3' terminus", round(mean_read_3prime_length_Uc, 1))
+        run.info("Mean profiled nt freq", round(mean_read_profiled_freq_Uc, 3))
+        run.info("Mean freq of unconserved in profiled nts", round(mean_read_unconserved_freq_Uc, 4))
+        run.info("Mean freq of unpaired in stem nts", round(mean_read_unpaired_freq_Uc, 4), nl_after=2)
 
 
     def trim_trna_ends(self):
@@ -2288,32 +2275,28 @@ def report_trim_stats(self):
                 max_reads_Tc = read_count
         mean_reads_Tc /= count_Tc
 
-        warning = self.run.warning
-        info_single = self.run.info_single
-        info = self.run.info
-
-        warning(None, "TRIMMING RESULTS", lc='green', nl_before=1)
-        info_single("subject to change -- see summary output file for final results")
+        run = self.run
+        run.info_single("Results of trimming (subject to change -- see summary output file for final results)", nl_before=2, nl_after=1)
 
-        warning(None, "Trimmed seq counts", lc='cyan')
-        info("tRNA profile", count_Tf)
-        info("Truncated tRNA profile", count_Tc)
+        run.info_single("Trimmed seq counts")
+        run.info("tRNA profile", count_Tf)
+        run.info("Truncated tRNA profile", count_Tc, nl_after=1)
 
-        warning(None, "Trimmed seqs with tRNA profile", lc='cyan')
-        info("Count with anticodon", anticodon_count_Tf)
-        info("Count with complete feature set", complete_count_Tf)
-        info("Mean unique seqs per seq", round(mean_uniq_seqs_Tf, 1))
-        info("Count with single unique seq", single_count_Tf)
-        info("Mean reads per seq", round(mean_reads_Tf, 1))
-        info("Max reads per seq", max_reads_Tf)
-        info(f"Count with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", long_5prime_count_Tf)
+        run.info_single("Trimmed seqs with tRNA profile")
+        run.info("Count with anticodon", anticodon_count_Tf)
+        run.info("Count with complete feature set", complete_count_Tf)
+        run.info("Mean unique seqs per seq", round(mean_uniq_seqs_Tf, 1))
+        run.info("Count with single unique seq", single_count_Tf)
+        run.info("Mean reads per seq", round(mean_reads_Tf, 1))
+        run.info("Max reads per seq", max_reads_Tf)
+        run.info(f"Count with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", long_5prime_count_Tf, nl_after=1)
 
-        warning(None, "Trimmed seqs with truncated tRNA profile", lc='cyan')
-        info("Count with anticodon", anticodon_count_Tc)
-        info("Mean unique seqs per seq", round(mean_uniq_seqs_Tc, 1))
-        info("Count with single unique seq", single_uniq_seq_count_Tc)
-        info("Mean reads per seq", round(mean_reads_Tc, 1))
-        info("Max reads per seq", max_reads_Tc, nl_after=1)
+        run.info_single("Trimmed seqs with truncated tRNA profile")
+        run.info("Count with anticodon", anticodon_count_Tc)
+        run.info("Mean unique seqs per seq", round(mean_uniq_seqs_Tc, 1))
+        run.info("Count with single unique seq", single_uniq_seq_count_Tc)
+        run.info("Mean reads per seq", round(mean_reads_Tc, 1))
+        run.info("Max reads per seq", max_reads_Tc, nl_after=2)
 
 
     def threeprime_dereplicate_profiled_trna(self):
@@ -2340,11 +2323,11 @@ def threeprime_dereplicate_profiled_trna(self):
         clusters = Dereplicator(names, reverse_strings, extras=seqs_Tf).prefix_dereplicate()
 
         # Profiling may have found multiple Tf that would here be 3'-dereplicated as having
-        # complete, but different, feature profiles. Assume that the shortest "completely profiled"
-        # Tf in the cluster has the correct profile (with an exception explained with an asterisk
-        # below). Reclassify discrepant 5' nts from Uf in longer Tf as extra 5' nts. Transfer the
-        # profile information from the representative Uf of the shortest Tf to Uf of longer Tf,
-        # replacing these longer Uf with Us objects. Produce a new Tf object from these Uf and Us.
+        # complete, but different, feature profiles. Consider the shortest "completely profiled" Tf
+        # in the cluster to have the correct profile. Reclassify discrepant 5' nts from Uf in longer
+        # Tf as extra 5' nts. Transfer the profile information from the representative Uf of the
+        # shortest Tf to Uf of longer Tf, replacing these longer Uf with Us objects. Produce a new
+        # Tf object from these Uf and Us.
 
         # Similarly, the longest Tf in the cluster may have an erroneous "incomplete profile." If
         # there is a shorter Tf in the cluster with a complete profile, then any longer Tf with an
@@ -2372,19 +2355,23 @@ def threeprime_dereplicate_profiled_trna(self):
         dict_Uf = self.dict_Uf
 
         # It is possible that trimmed sequences from multiple clusters can consolidate.
+        self.count_consol_Tf = 0
         dict_consol_Tf = {}
 
         # This dict is for an edge case explained below.
         dict_Tf_His = {}
 
-        unrepresent_complete_profile_Tf_names = []
+        if anvio.DEBUG:
+            consol_seqs_with_inconsis_profiles_file = open(self.consol_seqs_with_inconsis_profiles_path, 'w')
+            consol_seqs_with_inconsis_profiles_file.write("Index\tTrimmed (0) or Unique (1)\tSequence\n")
+            inconsis_profile_cluster_count = 0
+
         for cluster in clusters:
             # Skip initialization of Nf objects, as additional Tf members are later added to the
             # objects after dereplicating Tc and mapping Tm.
             seqs_Tf = cluster.member_extras
-            represent_name = seqs_Tf[0].name
             if len(seqs_Tf) == 1:
-                dict_Nf[represent_name] = NormalizedFullProfileSequence(seqs_Tf)
+                dict_Nf[seqs_Tf[0].name] = NormalizedFullProfileSequence(seqs_Tf)
                 continue
 
             # Check that there are no shorter Tf in the cluster with a "complete profile".
@@ -2394,19 +2381,11 @@ def threeprime_dereplicate_profiled_trna(self):
                     complete_profile_indices.append(index_Tf)
 
             if not complete_profile_indices:
-                dict_Nf[represent_name] = NormalizedFullProfileSequence(seqs_Tf)
+                dict_Nf[seqs_Tf[0].name] = NormalizedFullProfileSequence(seqs_Tf)
                 continue
 
-            if len(complete_profile_indices) == 1:
-                # * Most frequently, the longest sequence has a complete profile. An edge case can
-                # occur when the longest sequence does not have a complete profile while a shorter
-                # sequence does. The shorter sequence may appear as a member of another cluster and
-                # become the representative sequence due to consolidation. Prevent that
-                # consolidation from happening, forming a normalized sequence as per usual from the
-                # trimmed sequences, with the longest being representative. *
-                dict_Nf[represent_name] = NormalizedFullProfileSequence(seqs_Tf)
-                if complete_profile_indices != [0]:
-                    unrepresent_complete_profile_Tf_names.append(seqs_Tf[complete_profile_indices[0]].name)
+            if complete_profile_indices == [0]:
+                dict_Nf[seqs_Tf[0].name] = NormalizedFullProfileSequence(seqs_Tf)
                 continue
 
             # Reaching this point means that there are multiple Tf with "complete profiles" in the
@@ -2427,6 +2406,18 @@ def threeprime_dereplicate_profiled_trna(self):
                     # has not been checked. In this case, consolidate the Tf, retaining the profile
                     # of the shortest.
 
+            if anvio.DEBUG:
+                # Report consolidated Tf with different complete feature profiles.
+                inconsis_profile_cluster_count += 1
+                for seq_Tf in seqs_Tf[: complete_profile_indices[-1] + 1]:
+                    consol_seqs_with_inconsis_profiles_file.write(str(inconsis_profile_cluster_count) + "\t")
+                    consol_seqs_with_inconsis_profiles_file.write("0\t")
+                    consol_seqs_with_inconsis_profiles_file.write(seq_Tf.string + "\n")
+                    for name_Uf in seq_Tf.names_U:
+                        consol_seqs_with_inconsis_profiles_file.write(str(inconsis_profile_cluster_count) + "\t")
+                        consol_seqs_with_inconsis_profiles_file.write("1\t")
+                        consol_seqs_with_inconsis_profiles_file.write(dict_Uf[name_Uf].string + "\n")
+
             short_seq_Tf = seqs_Tf[complete_profile_indices[-1]]
             if short_seq_Tf.name in dict_consol_Tf:
                 # Tf from multiple clusters consolidate with the same shorter Tf with a complete
@@ -2447,6 +2438,8 @@ def threeprime_dereplicate_profiled_trna(self):
                 dict_consol_Tf[short_seq_Tf.name] = {'short_seq_Tf': short_seq_Tf,
                                                      'long_seqs_Tf': seqs_Tf[: complete_profile_indices[-1]],
                                                      'Nf_members': seqs_Tf[complete_profile_indices[-1] + 1: ]}
+        if anvio.DEBUG:
+            consol_seqs_with_inconsis_profiles_file.close()
 
         # Consider the following edge case. One cluster had two Tf with complete profiles, Tf1 and
         # Tf2, so the two were consolidated, forming Nf1.
@@ -2464,43 +2457,11 @@ def threeprime_dereplicate_profiled_trna(self):
             else:
                 dict_Nf[seqs_Tf[0].name] = NormalizedFullProfileSequence(seqs_Tf)
 
-        consol_seqs_with_inconsis_profiles_file = open(self.consol_seqs_with_inconsis_profiles_path, 'w')
-        consol_seqs_with_inconsis_profiles_file.write("Index\tTrimmed (0) or Unique (1)\tSequence\n")
-
-        count_consol_Tf = 0
-        dict_Us = self.dict_Us
         for subdict_consol_Tf in dict_consol_Tf.values():
-            if subdict_consol_Tf['short_seq_Tf'].name in unrepresent_complete_profile_Tf_names:
-                long_seqs_Tf = subdict_consol_Tf['long_seqs_Tf']
-                dict_Nf[long_seqs_Tf[0].name] = NormalizedFullProfileSequence(long_seqs_Tf + [subdict_consol_Tf['short_seq_Tf']])
-                continue
-
-            count_consol_Tf += 1
+            self.count_consol_Tf += 1
             consol_seq_Tf = self.consolidate_trimmed_sequences(subdict_consol_Tf['short_seq_Tf'], subdict_consol_Tf['long_seqs_Tf'])
             dict_Nf[consol_seq_Tf.name] = NormalizedFullProfileSequence([consol_seq_Tf] + subdict_consol_Tf['Nf_members'])
 
-            # Report consolidated Tf with different complete feature profiles.
-            first_field = str(count_consol_Tf) + "\t"
-            for seq_Tf in subdict_consol_Tf['long_seqs_Tf']:
-                consol_seqs_with_inconsis_profiles_file.write(first_field)
-                consol_seqs_with_inconsis_profiles_file.write("0\t")
-                consol_seqs_with_inconsis_profiles_file.write(seq_Tf.string + "\n")
-                for name_Us in seq_Tf.names_U:
-                    consol_seqs_with_inconsis_profiles_file.write(first_field)
-                    consol_seqs_with_inconsis_profiles_file.write("1\t")
-                    consol_seqs_with_inconsis_profiles_file.write(dict_Us[name_Us].string + "\n")
-            seq_Tf = subdict_consol_Tf['short_seq_Tf']
-            consol_seqs_with_inconsis_profiles_file.write(first_field)
-            consol_seqs_with_inconsis_profiles_file.write("0\t")
-            consol_seqs_with_inconsis_profiles_file.write(seq_Tf.string + "\n")
-            for name_Uf in seq_Tf.names_U:
-                consol_seqs_with_inconsis_profiles_file.write(first_field)
-                consol_seqs_with_inconsis_profiles_file.write("1\t")
-                consol_seqs_with_inconsis_profiles_file.write(dict_Uf[name_Uf].string + "\n")
-
-        self.count_consol_Tf = count_consol_Tf
-        consol_seqs_with_inconsis_profiles_file.close()
-
         with open(self.analysis_summary_path, 'a') as f:
             f.write(self.get_summary_line("Time elapsed 3'-dereplicating trimmed profiled seqs", time.time() - start_time, is_time_value=True))
 
@@ -2519,18 +2480,18 @@ def consolidate_trimmed_sequences(self, short_seq_Tf, long_seqs_Tf):
         replacement_info_dict = {'string_T': short_seq_Tf.string}
         feature_index_adjustment = -short_seq_Uf.xtra_5prime_length - len(short_seq_Tf_string)
         feature_starts_from_T_3prime = []
-        for feature_start in short_seq_Uf.feature_starts:
-            if isinstance(feature_start, int):
-                feature_starts_from_T_3prime.append(feature_start + feature_index_adjustment)
+        for feature_start_index in short_seq_Uf.feature_start_indices:
+            if isinstance(feature_start_index, int):
+                feature_starts_from_T_3prime.append(feature_start_index + feature_index_adjustment)
             else:
-                feature_starts_from_T_3prime.append(tuple([strand_start + feature_index_adjustment for strand_start in feature_start]))
+                feature_starts_from_T_3prime.append(tuple([strand_start_index + feature_index_adjustment for strand_start_index in feature_start_index]))
         replacement_info_dict['feature_starts_from_T_3prime'] = feature_starts_from_T_3prime
         feature_stops_from_T_3prime = []
-        for feature_stop in short_seq_Uf.feature_stops:
-            if isinstance(feature_stop, int):
-                feature_stops_from_T_3prime.append(feature_stop + feature_index_adjustment)
+        for feature_stop_index in short_seq_Uf.feature_stop_indices:
+            if isinstance(feature_stop_index, int):
+                feature_stops_from_T_3prime.append(feature_stop_index + feature_index_adjustment)
             else:
-                feature_stops_from_T_3prime.append(tuple([strand_stop + feature_index_adjustment for strand_stop in feature_stop]))
+                feature_stops_from_T_3prime.append(tuple([strand_stop_index + feature_index_adjustment for strand_stop_index in feature_stop_index]))
         replacement_info_dict['feature_stops_from_T_3prime'] = feature_stops_from_T_3prime
         replacement_info_dict['has_His_G'] = short_seq_Uf.has_His_G
         replacement_info_dict['alpha_start_from_T_3prime'] = None if short_seq_Uf.alpha_start is None else short_seq_Uf.alpha_start + feature_index_adjustment
@@ -2707,7 +2668,7 @@ def threeprime_dereplicate_truncated_sequences(self):
                         anticodon_start_relative_to_3prime_terminus = dict_Nf_anticodon[seq_Nf.name]
                     except KeyError:
                         try:
-                            anticodon_loop_start = seq_Tf.feature_starts[RELATIVE_ANTICODON_LOOP_INDEX]
+                            anticodon_loop_start = seq_Tf.feature_start_indices[RELATIVE_ANTICODON_LOOP_INDEX]
                         except IndexError:
                             # The anticodon loop was not reached in the profile.
                             anticodon_loop_start = -1
@@ -2715,7 +2676,7 @@ def threeprime_dereplicate_truncated_sequences(self):
                             # The anticodon loop was profiled.
                             anticodon_start = anticodon_loop_start + 2
                             # The position of the anticodon relative to the 3' terminus is a negative number.
-                            anticodon_start_relative_to_3prime_terminus = anticodon_start - dict_Uf[seq_Tf.names_U[0]].feature_starts[-1]
+                            anticodon_start_relative_to_3prime_terminus = anticodon_start - dict_Uf[seq_Tf.names_U[0]].feature_start_indices[-1]
                         else:
                             # The anticodon loop was not profiled, indicated by a positive number.
                             anticodon_start_relative_to_3prime_terminus = 1
@@ -2747,7 +2708,7 @@ def threeprime_dereplicate_truncated_sequences(self):
         self.progress.end()
 
 
-    def report_threeprime_dereplication_statistics(self):
+    def report_3prime_derep_stats(self):
         """Report to terminal stats regarding 3'-dereplication immediately after these steps."""
         count_Nf = len(self.dict_Nf)
         anticodon_count_Nf = 0
@@ -2844,45 +2805,41 @@ def report_threeprime_dereplication_statistics(self):
         mean_spec_reads_Nc /= count_Nc
         mean_nonspec_reads_Nc /= count_Nc
 
-        warning = self.run.warning
-        info_single = self.run.info_single
-        info = self.run.info
-
-        warning(None, "3' DEREPLICATION RESULTS", lc='green')
-        info_single("subject to change -- see summary output file for final results")
-
-        warning(None, "Normalized seq counts", lc='cyan')
-        info("tRNA profile", count_Nf)
-        info("Truncated tRNA profile", count_Nc)
-
-        warning(None, "Normalized seqs with tRNA profile", lc='cyan')
-        info("Containing anticodon", anticodon_count_Nf)
-        info("Containing complete feature set", complete_count_Nf)
-        info("Mean specific trimmed seqs per seq", round(mean_spec_T_Nf, 1))
-        info("Mean nonspecific trimmed seqs per seq", round(mean_nonspec_T_Nf, 1))
-        info("Mean specific unique seqs per seq", round(mean_spec_U_Nf, 1))
-        info("Mean nonspecific unique seqs per seq", round(mean_nonspec_U_Nf, 1))
-        info("Mean specific reads per seq", round(spec_reads_Nf, 1))
-        info("Mean nonspecific reads per seq", round(nonspec_reads_Nf, 1))
-        info("Max specific reads per seq", max_spec_reads_Nf)
-        info("Max nonspecific reads per seq", max_nonspec_reads_Nf)
-        info("Max total reads per seq", max_total_reads_Nf)
-        info("Recovered trimmed seqs with truncated profile", count_Tc_trna_Nf)
-        info("Recovered unique seqs with truncated profile", count_Uc_trna_Nf)
-        info("Recovered reads with truncated profile", read_count_Uc_trna_Nf)
-        info("Mean recovered trunc trimmed seqs per seq", round(mean_Tc_trna_Nf, 2))
-        info("Mean recovered trunc unique seqs per seq", round(mean_Uc_trna_Nf, 2))
-        info("Mean recovered trunc reads per seq", round(mean_Uc_reads_Nf, 2))
-        info("Consolidated trimmed tRNA seqs", self.count_consol_Tf, nl_after=1)
-
-        warning(None, "Normalized seqs with truncated tRNA profile", lc='cyan')
-        info("Containing anticodon", anticodon_count_Nc)
-        info("Mean specific trimmed seqs per seq", round(mean_spec_T_Nc, 1))
-        info("Mean nonspecific trimmed seqs per seq", round(mean_nonspec_T_Nc, 1))
-        info("Mean specific unique seqs per seq", round(mean_spec_U_Nc, 1))
-        info("Mean nonspecific unique seqs per seq", round(mean_nonspec_U_Nc, 1))
-        info("Mean specific reads per seq", round(mean_spec_reads_Nc, 1))
-        info("Mean nonspecific reads per seq", round(mean_nonspec_reads_Nc, 1), nl_after=2 if self.write_checkpoints else 1)
+        run = self.run
+        run.info_single("Results of 3' dereplication (subject to change -- see summary output file for final results)", nl_after=1)
+
+        run.info_single("Normalized seq counts")
+        run.info("tRNA profile", count_Nf)
+        run.info("Truncated tRNA profile", count_Nc, nl_after=1)
+
+        run.info_single("Normalized seqs with tRNA profile")
+        run.info("Containing anticodon", anticodon_count_Nf)
+        run.info("Containing complete feature set", complete_count_Nf)
+        run.info("Mean specific trimmed seqs per seq", round(mean_spec_T_Nf, 1))
+        run.info("Mean nonspecific trimmed seqs per seq", round(mean_nonspec_T_Nf, 1))
+        run.info("Mean specific unique seqs per seq", round(mean_spec_U_Nf, 1))
+        run.info("Mean nonspecific unique seqs per seq", round(mean_nonspec_U_Nf, 1))
+        run.info("Mean specific reads per seq", round(spec_reads_Nf, 1))
+        run.info("Mean nonspecific reads per seq", round(nonspec_reads_Nf, 1))
+        run.info("Max specific reads per seq", max_spec_reads_Nf)
+        run.info("Max nonspecific reads per seq", max_nonspec_reads_Nf)
+        run.info("Max total reads per seq", max_total_reads_Nf)
+        run.info("Recovered trimmed seqs with truncated profile", count_Tc_trna_Nf)
+        run.info("Recovered unique seqs with truncated profile", count_Uc_trna_Nf)
+        run.info("Recovered reads with truncated profile", read_count_Uc_trna_Nf)
+        run.info("Mean recovered trunc trimmed seqs per seq", round(mean_Tc_trna_Nf, 2))
+        run.info("Mean recovered trunc unique seqs per seq", round(mean_Uc_trna_Nf, 2))
+        run.info("Mean recovered trunc reads per seq", round(mean_Uc_reads_Nf, 2))
+        run.info("Consolidated trimmed tRNA seqs", self.count_consol_Tf, nl_after=1)
+
+        run.info_single("Normalized seqs with truncated tRNA profile")
+        run.info("Containing anticodon", anticodon_count_Nc)
+        run.info("Mean specific trimmed seqs per seq", round(mean_spec_T_Nc, 1))
+        run.info("Mean nonspecific trimmed seqs per seq", round(mean_nonspec_T_Nc, 1))
+        run.info("Mean specific unique seqs per seq", round(mean_spec_U_Nc, 1))
+        run.info("Mean nonspecific unique seqs per seq", round(mean_nonspec_U_Nc, 1))
+        run.info("Mean specific reads per seq", round(mean_spec_reads_Nc, 1))
+        run.info("Mean nonspecific reads per seq", round(mean_nonspec_reads_Nc, 1), nl_after=2)
 
 
     def write_checkpoint_files(self, checkpoint_name):
@@ -2906,19 +2863,18 @@ def write_checkpoint_files(self, checkpoint_name):
 
 
     def load_checkpoint_files(self, checkpoint_name):
-        pid = f"Loading intermediate files at the \"{checkpoint_name}\" checkpoint"
-        self.progress.new(pid)
+        progress = self.progress
+        progress.new(f"Loading intermediate files at the \"{checkpoint_name}\" checkpoint")
 
         for intermed_file_key, intermed_file_path in self.intermed_file_path_dict[checkpoint_name].items():
-            self.progress.update_pid(pid)
-            self.progress.update(f"{os.path.basename(intermed_file_path)}")
+            progress.update(f"{os.path.basename(intermed_file_path)}")
             with open(intermed_file_path, 'rb') as f:
                 setattr(self, intermed_file_key, pkl.load(f))
 
         with open(self.analysis_summary_path, 'a') as f:
             f.write(f"\nAnalysis restarted from the \"{checkpoint_name}\" checkpoint\n")
 
-        self.progress.end()
+        progress.end()
         self.run.info_single(f"Loaded \"{checkpoint_name}\" checkpoint intermediate files from {self.checkpoint_subdir_dict[checkpoint_name]}")
 
 
@@ -3042,8 +2998,9 @@ def map_fragments(self):
         """
         start_time = time.time()
 
+        progress = self.progress
         pid = "Set up search of unprofiled reads to profiled tRNA"
-        self.progress.new(pid)
+        progress.new(pid)
 
         self.progress.update("Getting queries from unprofiled reads")
         temp_dir_path = filesnpaths.get_temp_directory_path()
@@ -3059,14 +3016,13 @@ def map_fragments(self):
                 query_count += 1
 
 
-        self.progress.update_pid(pid)
-        self.progress.update("Getting targets from profiled tRNAs")
+        progress.update_pid(pid)
+        progress.update("Getting targets from profiled tRNAs")
         # Un are mapped to Nf with extra 5' bases added when present in underlying U. Multiple
         # targets for each Nf are therefore produced for different 5' extensions.
         target_fasta_path = os.path.join(temp_dir_path, 'target.fa')
         dict_Tf = self.dict_Tf
         dict_Uf = self.dict_Uf
-        dict_Us = self.dict_Us
         with open(target_fasta_path, 'w') as target_fasta:
             for seq_Nf in self.dict_Nf.values():
                 string_Nf = seq_Nf.string
@@ -3075,13 +3031,10 @@ def map_fragments(self):
                 longest_Tf = dict_Tf[seq_Nf.names_T[0]]
                 if longest_Tf.uniq_with_xtra_5prime_count > 0:
                     set_5prime_string = set()
-                    for name_U in longest_Tf.names_U:
-                        try:
-                            seq_U = dict_Uf[name_U]
-                        except KeyError:
-                            seq_U = dict_Us[name_U]
-                        if seq_U.xtra_5prime_length > 0:
-                            set_5prime_string.add(seq_U.string[: seq_U.xtra_5prime_length])
+                    for name_Uf in longest_Tf.names_U:
+                        seq_Uf = dict_Uf[name_Uf]
+                        if seq_Uf.xtra_5prime_length > 0:
+                            set_5prime_string.add(seq_Uf.string[: seq_Uf.xtra_5prime_length])
 
                     # Avoid creating superfluous target seqs that are subseqs of other target seqs
                     # due to a 5' extension of an Nf being a subseq of a longer 5' extension of the
@@ -3102,7 +3055,7 @@ def map_fragments(self):
                         target_fasta.write(f">{seq_Nf.name}-{len(string_5prime)}-{index_5prime}\n{string_5prime}{string_Nf}\n")
                 else:
                     target_fasta.write(f">{seq_Nf.name}-0-0\n{string_Nf}\n") # no extra 5' bases
-        self.progress.end()
+        progress.end()
 
 
         # Use a 10x bigger query chunk size than the Vmatch default, as the rather conservative
@@ -3117,8 +3070,8 @@ def map_fragments(self):
                                              temp_dir=temp_dir_path)).search_queries()
 
         pid = "Filtering matches"
-        self.progress.new(pid)
-        self.progress.update("...")
+        progress.new(pid)
+        progress.update("...")
 
         self.restructure_fragment_match_table(match_df)
 
@@ -3138,8 +3091,8 @@ def map_fragments(self):
             num_filtered_queries += 1
             if num_filtered_queries % fragment_filter_progress_interval == 0:
                 pp_progress_interval_end = pp(total_matched_queries if num_filtered_queries + fragment_filter_progress_interval > total_matched_queries else num_filtered_queries + fragment_filter_progress_interval)
-                self.progress.update_pid(pid)
-                self.progress.update(f"Queries {pp(num_filtered_queries + 1)}-{pp_progress_interval_end}/{pp_total_matched_queries}")
+                progress.update_pid(pid)
+                progress.update(f"Queries {pp(num_filtered_queries + 1)}-{pp_progress_interval_end}/{pp_total_matched_queries}")
 
             # Each Un with a validated match will yield a Um and Tm.
             seq_Um = None
@@ -3204,7 +3157,7 @@ def map_fragments(self):
                             seq_Nf.starts_T_in_N.append(start_Tm_in_Nf)
                             seq_Nf.stops_T_in_N.append(stop_Tm_in_Nf)
                             break
-        self.progress.end()
+        progress.end()
 
         with open(self.analysis_summary_path, 'a') as f:
             f.write(self.get_summary_line("Time elapsed mapping tRNA fragments (min)", time.time() - start_time, is_time_value=True))
@@ -3229,7 +3182,7 @@ def restructure_fragment_match_table(self, match_df):
         match_df['length_5prime'] = lengths_5prime
 
 
-    def report_mapping_statistics(self):
+    def report_map_stats(self):
         """Report to terminal stats on fragment mapping immediately after these steps."""
         count_spec_Nf = 0
         count_nonspec_Nf = 0
@@ -3261,11 +3214,17 @@ def report_mapping_statistics(self):
         nonspec_reads_Nf /= count_Nf
 
         count_spec_Tm = 0
+        count_nonspec_Tm = 0
         reads_spec_Tm = 0
+        reads_nonspec_Tm = 0
         spec_short_5prime_seq_Tm = 0
+        nonspec_short_5prime_seq_Tm = 0
         spec_long_5prime_seq_Tm = 0
+        nonspec_long_5prime_seq_Tm = 0
         spec_short_5prime_read_Tm = 0
+        nonspec_short_5prime_read_Tm = 0
         spec_long_5prime_read_Tm = 0
+        nonspec_long_5prime_read_Tm = 0
         spec_short_5prime_Nf_names = []
         spec_long_5prime_Nf_names = []
         nonspec_short_5prime_Nf_names = []
@@ -3284,55 +3243,64 @@ def report_mapping_statistics(self):
                         spec_short_5prime_read_Tm += seq_Tm.read_count
                         spec_short_5prime_Nf_names.append(seq_Tm.names_N[0])
             else:
+                count_nonspec_Tm += 1
+                reads_nonspec_Tm += seq_Tm.read_count
                 if seq_Tm.read_with_xtra_5prime_count:
                     if seq_Tm.long_5prime_extension_dict:
+                        nonspec_long_5prime_seq_Tm += 1
+                        nonspec_long_5prime_read_Tm += seq_Tm.read_count
                         nonspec_long_5prime_Nf_names.extend(seq_Tm.names_N)
                     else:
+                        nonspec_short_5prime_seq_Tm += 1
+                        nonspec_short_5prime_read_Tm += seq_Tm.read_count
                         nonspec_short_5prime_Nf_names.extend(seq_Tm.names_N)
         spec_short_5prime_Nf = len(set(spec_short_5prime_Nf_names))
         spec_long_5prime_Nf = len(set(spec_long_5prime_Nf_names))
         nonspec_short_5prime_Nf = len(set(nonspec_short_5prime_Nf_names))
         nonspec_long_5prime_Nf = len(set(nonspec_long_5prime_Nf_names))
 
-        warning = self.run.warning
-        info_single = self.run.info_single
-        info = self.run.info
-
-        warning(None, "FRAGMENT MAPPING RESULTS", lc='green', nl_before=1 if self.write_checkpoints else 0)
-        info_single("subject to change -- see summary output file for final results")
-
-        warning(None, "Normalized seqs with tRNA profile", lc='cyan')
-        info("With specific mapping", count_spec_Nf)
-        info("With nonspecific mapping", count_nonspec_Nf)
-        info("With any mapping", count_any_Nf)
-        info("Mean specific mapped seqs per seq", round(mean_spec_Tm_Nf, 2))
-        info("Mean nonspecific mapped seqs per seq", round(mean_nonspec_Tm_Nf, 2))
-        info("Mean specific mapped reads per seq", round(spec_reads_Nf, 2))
-        info("Mean nonspecific mapped reads per seq", round(nonspec_reads_Nf, 2))
-        info(f"With specific mapping to 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_Nf)
-        info(f"With specific mapping to ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_Nf)
-        info(f"With nonspecific mapping to 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_short_5prime_Nf)
-        info(f"With nonspecific mapping to ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_long_5prime_Nf)
-
-        warning(None, "Mapped seq counts", lc='cyan')
-        info("Specific seqs", count_spec_Tm)
-        info("Specific reads", reads_spec_Tm)
-        info(f"Specific seqs with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_seq_Tm)
-        info(f"Specific seqs with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_seq_Tm)
-        info(f"Specific reads with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_read_Tm)
-        info(f"Specific reads with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_read_Tm)
+        run = self.run
+        run.info_single("Results of fragment mapping (subject to change -- see summary output file for final results)", nl_before=2, nl_after=1)
+
+        run.info_single("Normalized seqs with tRNA profile")
+        run.info("With specific mapping", count_spec_Nf)
+        run.info("With nonspecific mapping", count_nonspec_Nf)
+        run.info("With any mapping", count_any_Nf)
+        run.info("Mean specific mapped seqs per seq", round(mean_spec_Tm_Nf, 2))
+        run.info("Mean nonspecific mapped seqs per seq", round(mean_nonspec_Tm_Nf, 2))
+        run.info("Mean specific mapped reads per seq", round(spec_reads_Nf, 2))
+        run.info("Mean nonspecific mapped reads per seq", round(nonspec_reads_Nf, 2))
+        run.info(f"With specific mapping to 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_Nf)
+        run.info(f"With specific mapping to ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_Nf)
+        run.info(f"With nonspecific mapping to 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_short_5prime_Nf)
+        run.info(f"With nonspecific mapping to ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_long_5prime_Nf, nl_after=1)
+
+        run.info_single("Mapped seq counts")
+        run.info("Specific seqs", count_spec_Tm)
+        run.info("Nonspecific seqs", count_nonspec_Tm)
+        run.info("Specific reads", reads_spec_Tm)
+        run.info("Nonspecific reads", reads_nonspec_Tm)
+        run.info(f"Specific seqs with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_seq_Tm)
+        run.info(f"Specific seqs with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_seq_Tm)
+        run.info(f"Specific reads with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_read_Tm)
+        run.info(f"Specific reads with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_read_Tm)
+        run.info(f"Nonspecific seqs with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_short_5prime_seq_Tm)
+        run.info(f"Nonspecific seqs with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_long_5prime_seq_Tm)
+        run.info(f"Nonspecific reads with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_short_5prime_read_Tm)
+        run.info(f"Nonspecific reads with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_long_5prime_read_Tm)
         if not PROFILE_ABSENT_3PRIME_TERMINUS:
-            info("Seqs only missing a 3' terminus", absent_3prime_terminus_seqs_Tm)
-            info("Reads only missing a 3' terminus", absent_3prime_terminus_reads_Tm)
-            info_single("Consider including an absent 3' terminus (by using '_') "
-                        "in the `anvi-trnaseq` parameterization of allowed 3' termini "
-                        "if the number of mapped seqs identical to a normalized seq but missing a 3' terminus seems high.",
-                        mc='red')
+            run.info("Seqs only missing a 3' terminus", absent_3prime_terminus_seqs_Tm)
+            run.info("Reads only missing a 3' terminus", absent_3prime_terminus_reads_Tm)
+            run.info_single("Consider including an absent 3' terminus (by using '_') "
+                            "in the `anvi-trnaseq` parameterization of allowed 3' termini "
+                            "if the number of mapped seqs identical to a normalized seq but missing a 3' terminus seems high.",
+                            mc='red')
 
 
-    def report_initialized_normalized_sequence_coverage_statistics(self):
+    def report_N_cov_stats(self):
         """Report to terminal stats on N coverages immediately after N initialization."""
         spec_read_Nf = 0
+        nonspec_read_Nf = 0
         mean_spec_cov_Nf = 0
         mean_nonspec_cov_Nf = 0
         total_length_Nf = 0
@@ -3341,6 +3309,7 @@ def report_initialized_normalized_sequence_coverage_statistics(self):
         max_total_cov_Nf = 0
         for seq_Nf in self.dict_Nf.values():
             spec_read_Nf += seq_Nf.spec_read_count
+            nonspec_read_Nf += seq_Nf.nonspec_read_count
             length_Nf = len(seq_Nf.string)
             mean_spec_cov = seq_Nf.mean_spec_cov
             mean_nonspec_cov = seq_Nf.mean_nonspec_cov
@@ -3357,6 +3326,7 @@ def report_initialized_normalized_sequence_coverage_statistics(self):
         mean_nonspec_cov_Nf /= total_length_Nf
 
         spec_read_Nc = 0
+        nonspec_read_Nc = 0
         mean_spec_cov_Nc = 0
         mean_nonspec_cov_Nc = 0
         total_length_Nc = 0
@@ -3365,6 +3335,7 @@ def report_initialized_normalized_sequence_coverage_statistics(self):
         max_total_cov_Nc = 0
         for seq_Nc in self.dict_Nc.values():
             spec_read_Nc += seq_Nc.spec_read_count
+            nonspec_read_Nc += seq_Nc.nonspec_read_count
             length_Nc = len(seq_Nc.string)
             mean_spec_cov = seq_Nc.mean_spec_cov
             mean_nonspec_cov = seq_Nc.mean_nonspec_cov
@@ -3380,36 +3351,35 @@ def report_initialized_normalized_sequence_coverage_statistics(self):
         mean_spec_cov_Nc /= total_length_Nc
         mean_nonspec_cov_Nc /= total_length_Nc
 
-        warning = self.run.warning
-        info_single = self.run.info_single
-        info = self.run.info
-
-        warning(None, "NORMALIZATION RESULTS", lc='green', nl_before=1)
-        info_single("subject to change -- see summary output file for final results")
+        run = self.run
+        run.info_single("Results of normalization (subject to change -- see summary output file for final results)", nl_before=2, nl_after=1)
 
-        warning(None, "Normalized seqs with tRNA profile", lc='cyan')
-        info("Specific reads", spec_read_Nf)
-        info("Mean specific coverage", round(mean_spec_cov_Nf, 2))
-        info("Mean nonspecific coverage", round(mean_nonspec_cov_Nf, 2))
-        info("Max specific coverage", round(max_spec_cov_Nf, 2))
-        info("Max nonspecific coverage", round(max_nonspec_cov_Nf, 2))
-        info("Max total coverage", round(max_total_cov_Nf, 2))
+        run.info_single("Normalized seqs with tRNA profile")
+        run.info("Specific reads", spec_read_Nf)
+        run.info("Nonspecific reads", nonspec_read_Nf)
+        run.info("Mean specific coverage", round(mean_spec_cov_Nf, 2))
+        run.info("Mean nonspecific coverage", round(mean_nonspec_cov_Nf, 2))
+        run.info("Max specific coverage", round(max_spec_cov_Nf, 2))
+        run.info("Max nonspecific coverage", round(max_nonspec_cov_Nf, 2))
+        run.info("Max total coverage", round(max_total_cov_Nf, 2), nl_after=1)
 
-        warning(None, "Normalized seqs with truncated tRNA profile", lc='cyan')
-        info("Specific reads", spec_read_Nc)
-        info("Mean specific coverage", round(mean_spec_cov_Nc, 2))
-        info("Mean nonspecific coverage", round(mean_nonspec_cov_Nc, 2))
-        info("Max specific coverage", round(max_spec_cov_Nc, 2))
-        info("Max nonspecific coverage", round(max_nonspec_cov_Nc, 2))
-        info("Max total coverage", round(max_total_cov_Nc, 2), nl_after=2)
+        run.info_single("Normalized seqs with truncated tRNA profile")
+        run.info("Specific reads", spec_read_Nc)
+        run.info("Nonspecific reads", nonspec_read_Nc)
+        run.info("Mean specific coverage", round(mean_spec_cov_Nc, 2))
+        run.info("Mean nonspecific coverage", round(mean_nonspec_cov_Nc, 2))
+        run.info("Max specific coverage", round(max_spec_cov_Nc, 2))
+        run.info("Max nonspecific coverage", round(max_nonspec_cov_Nc, 2))
+        run.info("Max total coverage", round(max_total_cov_Nc, 2), nl_after=2)
 
 
     def find_substitutions(self):
         """Find sites of potential modification-induced substitutions."""
         start_time = time.time()
+        progress = self.progress
         pid = "Finding modification-induced substitutions"
-        self.progress.new(pid)
-        self.progress.update("...")
+        progress.new(pid)
+        progress.update("...")
 
         # Cluster Nf. Clusters agglomerate Nf that differ from at least one other Nf in the cluster
         # by no more than 3 nts in 100 (by default) in a gapless end-to-end alignment with no
@@ -3422,7 +3392,7 @@ def find_substitutions(self):
             names_Nf.append(name_Nf)
             strings_Nf.append(seq_Nf.string)
             dict_Nf_feature_completeness[name_Nf] = seq_Nf.has_complete_feature_set
-        self.progress.end()
+        progress.end()
 
         agglomerator = Agglomerator(names_Nf, strings_Nf, num_threads=self.num_threads)
         # Provide a priority function for seeding clusters that favors, in order:
@@ -3438,12 +3408,11 @@ def find_substitutions(self):
         agglom_aligned_ref_dict = agglomerator.agglom_aligned_ref_dict
 
         pid = "Decomposing clusters"
-        self.progress.new(pid)
-        self.progress.update("...")
+        progress.new(pid)
+        progress.update("...")
 
-        excluded_Nf_names = [] # used to exclude Nf from being considered as aligned queries in clusters (see below)
-        represent_Nb_names = [] # used to prevent the same M from being created twice
-        dict_name_Nb_M = defaultdict(list)
+        excluded_Nf_names = [] # Used to exclude Nf from being considered as aligned queries in clusters (see below)
+        names_Nf = [] # Used to prevent the same M from being created twice
         dict_M = self.dict_M
         num_processed_refs = -1
         total_ref_count = len(agglom_aligned_ref_dict)
@@ -3453,8 +3422,8 @@ def find_substitutions(self):
             num_processed_refs += 1
             if num_processed_refs % decomposition_progress_interval == 0:
                 pp_progress_interval_end = pp(total_ref_count if num_processed_refs + decomposition_progress_interval > total_ref_count else num_processed_refs + decomposition_progress_interval)
-                self.progress.update_pid(pid)
-                self.progress.update(f"{pp(num_processed_refs + 1)}-{pp_progress_interval_end}/{pp_total_ref_count}")
+                progress.update_pid(pid)
+                progress.update(f"{pp(num_processed_refs + 1)}-{pp_progress_interval_end}/{pp_total_ref_count}")
 
             # A mod requires at least 3 different nts to be detected, and each Nf differs by at
             # least 1 nt (mismatch or gap), so for a cluster to form an M, it must contain at least
@@ -3474,8 +3443,7 @@ def find_substitutions(self):
                 # The Nf query may have formed a M already. If the Nf had a complete feature
                 # profile, or if it was the same length as such a sequence, then it should not be
                 # able to form a longer M that would have 5' nts beyond the end of a complete
-                # feature profile. This is only relevant when nonspecific Nf membership of M is
-                # allowed, which is not currently the case.
+                # feature profile.
                 if query_name in excluded_Nf_names:
                     continue
 
@@ -3487,197 +3455,146 @@ def find_substitutions(self):
                 continue
 
             valid_aligned_queries.sort(key=lambda seq_Nf: (-len(seq_Nf.string), -seq_Nf.has_complete_feature_set, seq_Nf.name))
-            seqs_Nf = np.array([dict_Nf[ref_name]] + valid_aligned_queries)
-
-            self.decompose_substitution_cluster(seqs_Nf, represent_Nb_names, excluded_Nf_names, dict_name_Nb_M, dict_M)
-
-        # Remove nonspecific Nf from M. Treat the remaining Nf in M as a cluster, from which a new M
-        # may be generated.
-        dict_M_with_nonspec_Nb = {}
-        count_nonspec_Nb = 0
-        while dict_name_Nb_M:
-            name_Nb, seqs_M = dict_name_Nb_M.popitem()
-            if len(seqs_M) > 1:
-                count_nonspec_Nb += 1
-                for seq_M in seqs_M:
-                    seq_M.names_Nb.remove(name_Nb)
-                    dict_M_with_nonspec_Nb[seq_M.name] = seq_M
-
-        count_M_with_nonspec_Nb = 0
-        count_rejected_M = 0
-        for seq_M in dict_M_with_nonspec_Nb.values():
-            count_M_with_nonspec_Nb += 1
-            seqs_Nf = []
-            for name_Nb in seq_M.names_Nb:
-                seqs_Nf.append(dict_Nf[name_Nb])
-
-            if not seqs_Nf:
-                # All Nb were nonspecific.
-                count_rejected_M += 1
-                dict_M.pop(seq_M.name)
-                continue
-
-            try:
-                # Nf is no longer a representative Nf of a M ... for the time being -- M might be
-                # vindicated.
-                represent_Nb_names.remove(seqs_Nf[0].name)
-            except ValueError:
-                pass
-
-            dict_M.pop(seq_M.name)
-            found_M = self.decompose_substitution_cluster(np.array(seqs_Nf), represent_Nb_names, excluded_Nf_names, dict_name_Nb_M, dict_M)
-            if not found_M:
-                count_rejected_M += 1
-
-        with open(self.analysis_summary_path, 'a') as f:
-            f.write(self.get_summary_line("Time elapsed finding modification-induced substitutions (min)", time.time() - start_time, is_time_value=True))
-
-        self.progress.end()
 
-        if count_nonspec_Nb:
-            self.run.info_single(f"{pp(count_nonspec_Nb)} nonspecific norm seqs "
-                                 f"were found in {pp(count_M_with_nonspec_Nb)} candidate mod seqs, "
-                                 f"resulting in {pp(count_rejected_M)} rejected candidates",
-                                 cut_after=100, nl_before=2 if self.write_checkpoints else 0)
-
-
-    def decompose_substitution_cluster(self, input_seqs_Nf, represent_Nb_names, excluded_Nf_names, dict_name_Nb_M, dict_M):
-        max_length_Nf = len(input_seqs_Nf[0].string)
-        seq_array = np.zeros((len(input_seqs_Nf), max_length_Nf), dtype=int)
-        # Rather than using the ASCII representation of each character, which saves some time in
-        # converting the sequence string to a numpy array, constrain the integer representation to
-        # the smallest possible range of integers to speed up the bincount method used to determine
-        # the number of unique nts at an alignment position.
-        for seq_index, seq_Nf in enumerate(input_seqs_Nf):
-            seq_array[seq_index, max_length_Nf - len(seq_Nf.string): ] += [NT_INT_DICT[nt] for nt in seq_Nf.string]
-
-        # Find positions in the alignment with nt variability.
-        alignment_pos_uniq_nt_counts = (
-            np.bincount(
-                (seq_array + np.arange(max_length_Nf, dtype=int) * NUM_NT_BINS).ravel(),
-                minlength=max_length_Nf * NUM_NT_BINS
-            ).reshape(-1, NUM_NT_BINS)[:, 1:] != 0
-        ).sum(axis=1)
-        alignment_positions_3_4_nts = (alignment_pos_uniq_nt_counts > 2).nonzero()[0]
-
-        # Modification-induced substitutions must have ≥ 3 nts.
-        if not alignment_positions_3_4_nts.size:
-            return False
-
-        alignment_positions_2_nts = (alignment_pos_uniq_nt_counts == 2).nonzero()[0]
-        clusters = deque(((seq_array, input_seqs_Nf, alignment_positions_3_4_nts), ))
-        for alignment_pos in alignment_positions_2_nts:
-            next_clusters = deque() # Make a new object with each iteration rather than clearing the same one
-
-            while clusters:
-                seq_array, seqs_Nf, alignment_positions_3_4_nts = clusters.pop()
+            seq_array = np.zeros((len(valid_aligned_queries) + 1, aligned_ref_length), dtype=int)
+            # Rather than using the ASCII representation of each character, which saves some time in
+            # converting the sequence string to a numpy array, constrain the integer representation
+            # to the smallest possible range of integers to speed up the bincount method used to
+            # determine the number of unique nts at an alignment position.
+            seq_array[0, :] += [NT_INT_DICT[nt] for nt in aligned_ref.seq_string]
+            for query_index, aligned_query in enumerate(valid_aligned_queries, start=1):
+                seq_array[query_index, aligned_ref_length - len(aligned_query.string): ] += [NT_INT_DICT[nt] for nt in aligned_query.string]
 
-                # A sub requires ≥ 3 different nts to be detected, and each Nf differs by ≥ 1 nt, so
-                # for a cluster to form an M it must contain ≥ 3 Nf.
-                if seqs_Nf.size < 3:
-                    continue
+            seqs_Nf = np.array([dict_Nf[ref_name]] + valid_aligned_queries)
 
-                aligned_nts = seq_array[:, alignment_pos]
-                nt_counts = np.bincount(aligned_nts, minlength=NUM_NT_BINS)[1: ]
+            # Find positions in the alignment with nt variability.
+            alignment_pos_uniq_nt_counts = (
+                np.bincount(
+                    (seq_array + np.arange(aligned_ref_length, dtype=int) * NUM_NT_BINS).ravel(),
+                    minlength=aligned_ref_length * NUM_NT_BINS
+                ).reshape(-1, NUM_NT_BINS)[:, 1:] != 0
+            ).sum(axis=1)
+            alignment_positions_3_4_nts = (alignment_pos_uniq_nt_counts > 2).nonzero()[0]
+
+            # Modification sites must have ≥ 3 nts.
+            if not alignment_positions_3_4_nts.size:
+                continue
 
-                if (nt_counts != 0).sum() < 2:
-                    # There are now < 2 nts at the alignment position in the cluster under
-                    # consideration. 2 different nts are needed to distinguish SNVs.
-                    next_clusters.appendleft((seq_array, seqs_Nf, alignment_positions_3_4_nts))
-                    continue
+            alignment_positions_2_nts = (alignment_pos_uniq_nt_counts == 2).nonzero()[0]
+            clusters = deque(((seq_array, seqs_Nf, alignment_positions_3_4_nts), ))
+            for alignment_pos in alignment_positions_2_nts:
+                next_clusters = deque() # Make a new object with each iteration rather than clearing the same one
 
-                # Add a new cluster for each SNV to the stack of clusters to process if: 1. the new
-                # cluster contains ≥ 3 Nf and 2. the longest Nf (with a complete feature profile, if
-                # applicable) in the new cluster has not yet formed an M.
-                represented_nts = nt_counts.nonzero()[0] + 1
-                for nt in represented_nts:
-                    split_cluster_seq_indices = (aligned_nts == nt).nonzero()[0]
+                while clusters:
+                    seq_array, seqs_Nf, alignment_positions_3_4_nts = clusters.pop()
 
-                    if split_cluster_seq_indices.size > 2:
-                        split_cluster_Nf_seqs = seqs_Nf[split_cluster_seq_indices]
+                    # A modification requires ≥ 3 different nts to be detected, and each Nf differs
+                    # by ≥ 1 nt, so for a cluster to form an M it must contain ≥ 3 Nf.
+                    if seqs_Nf.size < 3:
+                        continue
 
-                        if split_cluster_Nf_seqs[0].name in represent_Nb_names:
-                            # Nf already seeded an M, which would be the same M, as the same
-                            # subcluster of Nf can be found in different agglomerations.
-                            continue
+                    aligned_nts = seq_array[:, alignment_pos]
+                    nt_counts = np.bincount(aligned_nts, minlength=NUM_NT_BINS)[1: ]
 
-                        next_clusters.appendleft((seq_array[split_cluster_seq_indices, :],
-                                                  split_cluster_Nf_seqs,
-                                                  alignment_positions_3_4_nts.copy()))
+                    if (nt_counts != 0).sum() < 2:
+                        # There are now < 2 nts at the alignment position in the cluster under
+                        # consideration. 2 different nts are needed to distinguish SNVs.
+                        next_clusters.appendleft((seq_array, seqs_Nf, alignment_positions_3_4_nts))
+                        continue
 
-            if next_clusters:
-                clusters = next_clusters
-            else:
-                return False
-
-        # Check alignment positions previously found to have 3-4 nts. Further split clusters when
-        # positions now have 2 nts.
-        next_clusters = deque()
-        while clusters:
-            seq_array, seqs_Nf, alignment_positions_3_4_nts = clusters.pop()
-            candidates_to_remove = []
-
-            for i, alignment_pos in enumerate(alignment_positions_3_4_nts):
-                aligned_nts = seq_array[:, alignment_pos]
-                nt_counts = np.bincount(aligned_nts, minlength=NUM_NT_BINS)[1: ]
-                # At least 3 different nts are needed at a position to predict a mod.
-                represented_nts = nt_counts.nonzero()[0] + 1
-                if represented_nts.size < 2:
-                    candidates_to_remove.append(i)
-                elif represented_nts.size == 2:
-                    candidates_to_remove.append(i)
+                    # Add a new cluster for each SNV to the stack of clusters to process if: 1. the
+                    # new cluster contains ≥ 3 Nf and 2. the longest Nf (with a complete feature
+                    # profile, if applicable) in the new cluster has not yet formed an M.
+                    # Agglomerative clustering ensures that the Nf agglomerated with the longest Nf
+                    # will be the same regardless of the original unsplit cluster.
+                    represented_nts = nt_counts.nonzero()[0] + 1
                     for nt in represented_nts:
                         split_cluster_seq_indices = (aligned_nts == nt).nonzero()[0]
 
-                        # At least 3 Nf are needed, and the split cluster cannot have already formed
-                        # an M.
                         if split_cluster_seq_indices.size > 2:
                             split_cluster_Nf_seqs = seqs_Nf[split_cluster_seq_indices]
 
-                            if split_cluster_Nf_seqs[0].name in represent_Nb_names:
+                            if split_cluster_Nf_seqs[0].name in names_Nf:
                                 continue
 
-                            clusters.appendleft((seq_array[split_cluster_seq_indices, :],
-                                                 split_cluster_Nf_seqs,
-                                                 np.delete(alignment_positions_3_4_nts, candidates_to_remove)))
-                    # Reevaluate previous alignment positions in the split clusters.
-                    break
-            else:
-                # At least 1 position was discounted as no longer having 3-4 different nts, but
-                # these positions had < 2 nts, and so did not cause the cluster to be split into new
-                # clusters. Therefore, do not cycle through the remaining positions again to find
-                # any more with < 3 nts.
-                if candidates_to_remove:
-                    next_clusters.appendleft((seqs_Nf, np.delete(alignment_positions_3_4_nts, candidates_to_remove)))
+                            next_clusters.appendleft((seq_array[split_cluster_seq_indices, :],
+                                                      split_cluster_Nf_seqs,
+                                                      alignment_positions_3_4_nts.copy()))
+                if next_clusters:
+                    clusters = next_clusters
                 else:
-                    next_clusters.appendleft((seqs_Nf, alignment_positions_3_4_nts))
+                    break
+            if not clusters:
+                continue
 
-        if not next_clusters:
-            return False
-        clusters = next_clusters
-
-        while clusters:
-            seqs_Nf, sub_positions = clusters.pop() # Nf should have retained their order
-            seqs_Nf = list(seqs_Nf) # Turn the array into a list
-            represent_Nf_seq = seqs_Nf[0]
-
-            represent_Nf_length = len(represent_Nf_seq.string)
-            represent_Nf_start_in_array = max_length_Nf - represent_Nf_length
-            sub_positions -= represent_Nf_start_in_array
-            seq_M = ModifiedSequence(seqs_Nf, tuple(sub_positions))
-
-            represent_Nb_names.append(represent_Nf_seq.name)
-            if represent_Nf_seq.has_complete_feature_set:
-                for seq_Nf in seqs_Nf:
-                    if len(seq_Nf.string) < represent_Nf_length:
+            # Check alignment positions previously found to have 3-4 nts. Further split clusters
+            # when positions now have 2 nts.
+            next_clusters = deque()
+            while clusters:
+                seq_array, seqs_Nf, alignment_positions_3_4_nts = clusters.pop()
+                candidates_to_remove = []
+
+                for i, alignment_pos in enumerate(alignment_positions_3_4_nts):
+                    aligned_nts = seq_array[:, alignment_pos]
+                    nt_counts = np.bincount(aligned_nts, minlength=NUM_NT_BINS)[1: ]
+                    # At least 3 different nts are needed at a position to predict a mod.
+                    represented_nts = nt_counts.nonzero()[0] + 1
+                    if represented_nts.size < 2:
+                        candidates_to_remove.append(i)
+                    elif represented_nts.size == 2:
+                        candidates_to_remove.append(i)
+                        for nt in represented_nts:
+                            split_cluster_seq_indices = (aligned_nts == nt).nonzero()[0]
+
+                            # At least 3 Nf are needed, and the split cluster cannot have already
+                            # formed an M.
+                            if split_cluster_seq_indices.size > 2:
+                                split_cluster_Nf_seqs = seqs_Nf[split_cluster_seq_indices]
+
+                                if split_cluster_Nf_seqs[0].name in names_Nf:
+                                    continue
+
+                                clusters.appendleft((seq_array[split_cluster_seq_indices, :],
+                                                     split_cluster_Nf_seqs,
+                                                     np.delete(alignment_positions_3_4_nts, candidates_to_remove)))
+                        # Reevaluate previous alignment positions in the split clusters.
                         break
-                    excluded_Nf_names.append(seq_Nf.name)
+                else:
+                    # At least 1 position was discounted as no longer having 3-4 different nts, but
+                    # these positions had < 2 nts, and so did not cause the cluster to be split into
+                    # new clusters. Therefore, do not cycle through the remaining positions again to
+                    # find any more with < 3 nts.
+                    if candidates_to_remove:
+                        next_clusters.appendleft((seqs_Nf, np.delete(alignment_positions_3_4_nts, candidates_to_remove)))
+                    else:
+                        next_clusters.appendleft((seqs_Nf, alignment_positions_3_4_nts))
 
-            for seq_Nf in seqs_Nf:
-                dict_name_Nb_M[seq_Nf.name].append(seq_M)
+            if not next_clusters:
+                continue
+            clusters = next_clusters
 
-            dict_M[seq_M.name] = seq_M
-            return True
+            while clusters:
+                seqs_Nf, mod_positions = clusters.pop() # Nf should have retained their order
+                seqs_Nf = list(seqs_Nf) # Turn the array into a list
+                represent_Nf_seq = seqs_Nf[0]
+
+                length_represent_Nf = len(represent_Nf_seq.string)
+                represent_Nf_start_in_array = aligned_ref_length - length_represent_Nf
+                mod_positions -= represent_Nf_start_in_array
+                seq_M = ModifiedSequence(seqs_Nf, tuple(mod_positions))
+
+                if represent_Nf_seq.has_complete_feature_set:
+                    for seq_Nf in seqs_Nf:
+                        if len(seq_Nf.string) < length_represent_Nf:
+                            break
+                        excluded_Nf_names.append(seq_Nf.name)
+
+                dict_M[seq_M.name] = seq_M
+
+        with open(self.analysis_summary_path, 'a') as f:
+            f.write(self.get_summary_line("Time elapsed finding modification-induced substitutions (min)", time.time() - start_time, is_time_value=True))
+
+        progress.end()
 
 
     def report_sub_stats(self):
@@ -3693,13 +3610,11 @@ def report_sub_stats(self):
         mean_sub_per_seq = total_sub_count / count_M
         mean_sub_per_nt = total_sub_count / total_length_M
 
-        warning = self.run.warning
-        info = self.run.info
-
-        warning(None, "SUBSTITUTION SEARCH RESULTS", lc='green', nl_before=1)
-        info("Modified seqs", count_M)
-        info("Mean (*potential*) subs per modified seq", round(mean_sub_per_seq, 1))
-        info("Mean subs per nt in modified seq", round(mean_sub_per_nt, 3), nl_after=2)
+        run = self.run
+        run.info_single("Results of substitution search", nl_before=2)
+        run.info("Modified seqs", count_M)
+        run.info("Mean (*potential*) subs per modified seq", round(mean_sub_per_seq, 1))
+        run.info("Mean subs per nt in modified seq", round(mean_sub_per_nt, 3), nl_after=2)
 
 
     def find_indels(self):
@@ -3735,7 +3650,9 @@ def find_indels(self):
         could theoretically originate from different cDNA seqs, with some containing an indel, and
         others, representing a different tRNA, not containing it."""
         pid = "Finding seqs with mod-induced indels"
-        self.progress.new(pid)
+        progress = self.progress
+        run = self.run
+        progress.new(pid)
 
         # Write FASTA files of queries and targets to a temp dir used in running Vmatch. Do not
         # allow the Vmatch driver to automatically remove the dir, as the FASTA file of Nq is used
@@ -3747,18 +3664,14 @@ def find_indels(self):
         fasta_path_Nqf = os.path.join(temp_dir_path, 'Nqf.fa')
 
         # Write a FASTA file of Nb.
-        self.progress.update_pid(pid)
-        self.progress.update("Writing FASTA of norm tRNA seqs with mod-induced subs")
+        progress.update("Writing FASTA of norm tRNA seqs with mod-induced subs")
         count_Nb, max_length_M = self.write_fasta_Nb(fasta_path_Nb)
 
         # Write a FASTA file of Nqf.
-        self.progress.update_pid(pid)
-        self.progress.update("Writing FASTA of norm tRNA seqs without mod-induced subs")
+        progress.update("Writing FASTA of norm tRNA seqs without mod-induced subs")
         count_Nqf, max_length_Nqf = self.write_fasta_Nqf(fasta_path_Nqf)
 
         # Search Nqf against Nb.
-        self.progress.update_pid(pid)
-        self.progress.update("Searching for norm tRNA seqs within mod tRNA seqs")
         match_df = Vmatch(argparse.Namespace(match_mode='query_substring_with_indels',
                                              fasta_db_file=fasta_path_Nb,
                                              fasta_query_file=fasta_path_Nqf,
@@ -3777,19 +3690,17 @@ def find_indels(self):
         results_dict = {}
         # The following method updates `results_dict`.
         count_Nqf_with_indels = self.process_Nq_with_indels(match_df, self.dict_Nf, results_dict, False)
-        self.progress.end()
-        self.run.info_single("Completed indel search Stage 1/4: norm tRNA seqs within mod tRNA seqs", nl_before=2 if self.write_checkpoints else 0)
+        progress.end()
+        run.info_single("Completed indel search stage 1/4: norm tRNA seqs within mod tRNA seqs", nl_before=2)
 
 
         # Search Nb against Nqf.
-        self.progress.new(pid)
+        progress.new(pid)
         if count_Nqf_with_indels:
             # Indels were found in some Nqf, so rewrite the FASTA file of Nqf to exclude these.
-            self.progress.update("Writing FASTA of norm tRNA seqs without known mod-induced mutations")
+            progress.update("Writing FASTA of norm tRNA seqs without known mod-induced mutations")
             count_Nqf, max_length_Nqf = self.write_fasta_Nqf(fasta_path_Nqf)
 
-        self.progress.update_pid(pid)
-        self.progress.update("Searching for mod tRNA seqs within norm tRNA seqs")
         match_df = Vmatch(argparse.Namespace(match_mode='query_substring_with_indels',
                                              fasta_db_file=fasta_path_Nqf,
                                              fasta_query_file=fasta_path_Nb,
@@ -3806,19 +3717,17 @@ def find_indels(self):
         os.remove(parsed_output_path)
 
         count_Nqf_with_indels += self.process_Nq_with_indels(match_df, self.dict_Nf, results_dict, True)
-        self.progress.end()
-        self.run.info_single("Completed indel search Stage 2/4: mod tRNA seqs within norm tRNA seqs")
+        progress.end()
+        run.info_single("Completed indel search stage 2/4: mod tRNA seqs within norm tRNA seqs")
 
 
         # Write a FASTA file of Nc.
-        self.progress.new(pid)
-        self.progress.update("Writing FASTA of norm trunc seqs")
+        progress.new(pid)
+        progress.update("Writing FASTA of norm trunc seqs")
         fasta_path_Nc = os.path.join(temp_dir_path, 'Nc.fa')
         count_Nc, max_length_Nc = self.write_fasta_Nc(fasta_path_Nc)
 
         # Search Nc against Nb.
-        self.progress.update_pid(pid)
-        self.progress.update("Searching for trunc tRNA seqs within mod tRNA seqs")
         match_df = Vmatch(argparse.Namespace(match_mode='query_substring_with_indels',
                                              fasta_db_file=fasta_path_Nb,
                                              fasta_query_file=fasta_path_Nc,
@@ -3835,19 +3744,17 @@ def find_indels(self):
         os.remove(parsed_output_path)
 
         count_Nc_with_indels = self.process_Nq_with_indels(match_df, self.dict_Nc, results_dict, False)
-        self.progress.end()
-        self.run.info_single("Completed indel search Stage 3/4: trunc tRNA seqs within mod tRNA seqs")
+        progress.end()
+        run.info_single("Completed indel search stage 3/4: trunc tRNA seqs within mod tRNA seqs")
 
 
         # Search Nb against Nc.
-        self.progress.new(pid)
+        progress.new(pid)
         if count_Nc_with_indels:
             # Indels were found in some Nc, so rewrite the FASTA file of Nc to exclude these.
-            self.progress.update("Writing FASTA of norm trunc seqs without known mod-induced mutations")
+            progress.update("Writing FASTA of norm trunc seqs without known mod-induced mutations")
             count_Nc, max_length_Nc = self.write_fasta_Nc(fasta_path_Nc)
 
-        self.progress.update_pid(pid)
-        self.progress.update("Searching for mod tRNA seqs within trunc tRNA seqs")
         match_df = Vmatch(argparse.Namespace(match_mode='query_substring_with_indels',
                                              fasta_db_file=fasta_path_Nc,
                                              fasta_query_file=fasta_path_Nb,
@@ -3864,15 +3771,15 @@ def find_indels(self):
         os.remove(parsed_output_path)
 
         count_Nc_with_indels += self.process_Nq_with_indels(match_df, self.dict_Nc, results_dict, True)
-        self.progress.end()
-        self.run.info_single("Completed indel search Stage 4/4: mod tRNA seqs within trunc tRNA seqs")
+        progress.end()
+        run.info_single("Completed indel search stage 4/4: mod tRNA seqs within trunc tRNA seqs")
 
 
         # Consolidate Nq differing by 5' and 3' extensions into a new Ni object.
-        self.progress.new(pid)
-        self.progress.update("Finalizing norm seqs with indels")
+        progress.new(pid)
+        progress.update("Finalizing norm seqs with indels")
         self.add_Ni_to_M(results_dict)
-        self.progress.end()
+        progress.end()
 
         trnaseq_db = dbops.TRNASeqDatabase(self.trnaseq_db_path, quiet=True)
         set_meta_value = trnaseq_db.db.set_meta_value
@@ -4464,8 +4371,11 @@ def check_normalized_indel_sequence_for_anticodon(self, seq_M, start_Ni_in_M):
     def report_M_stats(self):
         """Report to terminal stats on M. Stats on subs were already reported."""
         spec_read_count_M = 0
+        nonspec_read_count_M = 0
         spec_short_5prime_read_count_M = 0
         spec_long_5prime_read_count_M = 0
+        nonspec_short_5prime_read_count_M = 0
+        nonspec_long_5prime_read_count_M = 0
         mean_spec_cov_M = 0
         mean_nonspec_cov_M = 0
         total_length_M = 0
@@ -4474,6 +4384,7 @@ def report_M_stats(self):
         max_total_cov_M = 0
         for seq_M in self.dict_M.values():
             spec_read_count_M += seq_M.spec_read_count
+            nonspec_read_count_M += seq_M.nonspec_read_count
             if seq_M.spec_read_xtra_5prime_count:
                 if seq_M.spec_long_5prime_extension_dict:
                     spec_long_5prime_read_count = sum(seq_M.spec_long_5prime_extension_dict.values())
@@ -4484,6 +4395,10 @@ def report_M_stats(self):
             if seq_M.nonspec_read_xtra_5prime_count:
                 if seq_M.nonspec_long_5prime_extension_dict:
                     nonspec_long_5prime_read_count = sum(seq_M.nonspec_long_5prime_extension_dict.values())
+                    nonspec_long_5prime_read_count_M += nonspec_long_5prime_read_count
+                    nonspec_short_5prime_read_count_M += seq_M.nonspec_read_xtra_5prime_count - nonspec_long_5prime_read_count
+                else:
+                    nonspec_short_5prime_read_count_M += seq_M.nonspec_read_xtra_5prime_count
             length_M = len(seq_M.consensus_string)
             mean_spec_cov = seq_M.mean_spec_cov
             mean_nonspec_cov = seq_M.mean_nonspec_cov
@@ -4511,34 +4426,35 @@ def report_M_stats(self):
                 if seq_M.insert_starts or seq_M.del_starts:
                     count_indel_M += 1
 
-        warning = self.run.warning
-        info = self.run.info
-
-        warning(None, "MODIFICATION ANALYSIS RESULTS", lc='green', nl_before=1)
-
-        warning(None, "Modified seqs", lc='cyan')
-        info("Specific reads", spec_read_count_M)
-        info(f"Specific reads with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_read_count_M)
-        info(f"Specific reads with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_read_count_M)
-        info("Mean specific coverage", round(mean_spec_cov_M, 2))
-        info("Mean nonspecific coverage", round(mean_nonspec_cov_M, 2))
-        info("Max specific coverage", round(max_spec_cov_M, 2))
-        info("Max nonspecific coverage", round(max_nonspec_cov_M, 2))
-        info("Max total coverage", round(max_total_cov_M, 2), nl_after=2 if self.skip_indel_profiling else 0)
+        run = self.run
+        run.info_single("Final results of modification analysis", nl_before=2, nl_after=1)
+
+        run.info_single("Modified seqs")
+        run.info("Specific reads", spec_read_count_M)
+        run.info("Nonspecific reads", nonspec_read_count_M)
+        run.info(f"Specific reads with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_read_count_M)
+        run.info(f"Specific reads with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_read_count_M)
+        run.info(f"Nonspecific reads with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_short_5prime_read_count_M)
+        run.info(f"Nonspecific reads with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_long_5prime_read_count_M)
+        run.info("Mean specific coverage", round(mean_spec_cov_M, 2))
+        run.info("Mean nonspecific coverage", round(mean_nonspec_cov_M, 2))
+        run.info("Max specific coverage", round(max_spec_cov_M, 2))
+        run.info("Max nonspecific coverage", round(max_nonspec_cov_M, 2))
+        run.info("Max total coverage", round(max_total_cov_M, 2), nl_after=0 if self.skip_indel_profiling else 1)
 
         if not self.skip_indel_profiling:
-            warning(None, "Results of indel search", lc='cyan')
-            info("Modified seqs with indels", count_indel_M)
-            info("Modified seqs with insertions", count_insert_M)
-            info("Modified seqs with deletions", count_del_M)
+            run.info_single("Results of indel search")
+            run.info("Modified seqs with indels", count_indel_M)
+            run.info("Modified seqs with insertions", count_insert_M)
+            run.info("Modified seqs with deletions", count_del_M)
 
             trnaseq_db = dbops.TRNASeqDatabase(self.trnaseq_db_path, quiet=True)
             get_meta_value = trnaseq_db.db.get_meta_value
             count_Nqf_with_indels = get_meta_value('count_Nqf_with_indels')
             count_Nc_with_indels = get_meta_value('count_Nc_with_indels')
             trnaseq_db.disconnect()
-            info("Normalized tRNA seqs found to have indels", count_Nqf_with_indels)
-            info("Normalized trunc seqs found to have indels", count_Nc_with_indels, nl_after=2)
+            run.info("Normalized tRNA seqs found to have indels", count_Nqf_with_indels)
+            run.info("Normalized trunc seqs found to have indels", count_Nc_with_indels, nl_after=2)
 
 
     def report_stats(self):
@@ -4553,7 +4469,7 @@ def report_stats(self):
             if seq_Tf.contains_anticodon:
                 anticodon_profiled_trna_reads += seq_Tf.read_count
                 if seq_Tf.has_complete_feature_set:
-                    complete_profiled_trna_reads += seq_Tf.read_count
+                    complete_profiled_trna_reads += seq_Tf.has_complete_feature_set
             if len(seq_Tf.names_N) == 1:
                 spec_reads_Ntrna += seq_Tf.read_count
             else:
@@ -4623,6 +4539,7 @@ def write_feature_table(self):
         self.progress.update("...")
 
         rows = []
+        TRNA_FEATURE_NAMES = self.TRNA_FEATURE_NAMES
         for dict_name, dict_U in zip(('dict_Uf', 'dict_Us', 'dict_Uc_trna'),
                                      (self.dict_Uf, self.dict_Us, self.dict_Uc_trna)):
             for seq_U in dict_U.values():
@@ -5009,64 +4926,53 @@ class to allow multiprocessing."""
         output_queue.put((profiler.profile(seq_string, name=represent_name), read_count))
 
 
-class NormalizedSequenceSummary(object):
-    """Relevant data from a normalized sequence stored in a tRNA-seq database is reloaded into this
-    object."""
+class NormalizedSeqSummary(object):
+    """Relevant data from normalized sequences stored in anvi'o tRNA-seq databases are reloaded into
+    these objects."""
 
     __slots__ = (
         'name',
         'sample_id',
-        'string',
-        'anticodon_string',
-        'feature_dict',
+        'seq_string',
+        'threshold_feature_start',
+        'anticodon_seq_string',
         'feature_threshold_start',
-        'mean_spec_cov',
-        'spec_covs',
-        'nonspec_covs',
-        'spec_nt_covs_dict',
-        'nonspec_nt_covs_dict',
-        'summary_M'
+        'mean_specific_cov',
+        'specific_covs',
+        'nonspecific_covs',
+        'specific_nt_covs_dict',
+        'nonspecific_nt_covs_dict',
+        'mod_seq_summary'
     )
 
     def __init__(self):
-        for attr_name in NormalizedSequenceSummary.__slots__:
-            setattr(self, attr_name, None)
-
-
-class NormalizedIndelSequenceSummary(NormalizedSequenceSummary):
-    """Relevant data from a normalized sequence with indels stored in a tRNA-seq database is
-    reloaded into this object."""
-
-    __slots__ = (
-        'insert_starts',
-        'insert_strings',
-        'spec_insert_covs',
-        'nonspec_insert_covs',
-        'del_starts',
-        'del_lengths',
-        'spec_del_covs',
-        'nonspec_del_covs'
-    )
-
-    def __init__(self):
-        super().__init__()
-        for attr_name in NormalizedIndelSequenceSummary.__slots__:
-            setattr(self, attr_name, None)
-
-
-class ModifiedSequenceSummary(object):
-    """Relevant data from a modified sequence stored in a tRNA-seq database is reloaded into this
-    object."""
+        self.name = None
+        self.sample_id = None
+        self.seq_string = None
+        self.threshold_feature_start = None
+        self.anticodon_seq_string = None
+        self.feature_threshold_start = None
+        self.mean_specific_cov = None
+        self.specific_covs = None
+        self.nonspecific_covs = None
+        self.specific_nt_covs_dict = None
+        self.nonspecific_nt_covs_dict = None
+        self.mod_seq_summary = None
+
+
+class ModifiedSeqSummary(object):
+    """Relevant data from modified sequences stored in anvi'o tRNA-seq databases are reloaded into
+    these objects."""
 
     __slots__ = (
         'name',
         'sample_id',
-        'consensus_string',
+        'consensus_seq_string',
         'sub_positions',
-        'spec_nt_covs_dict',
-        'nonspec_nt_covs_dict',
-        'spec_covs',
-        'nonspec_covs',
+        'specific_nt_covs_dict',
+        'nonspecific_nt_covs_dict',
+        'specific_covs',
+        'nonspecific_covs',
         'insert_starts',
         'insert_strings',
         'spec_insert_covs',
@@ -5075,85 +4981,143 @@ class ModifiedSequenceSummary(object):
         'del_lengths',
         'spec_del_covs',
         'nonspec_del_covs',
-        'summaries_Nb',
-        'summaries_Ni'
+        'norm_seq_summaries'
     )
 
     def __init__(self):
-        for attr_name in ModifiedSequenceSummary.__slots__:
-            setattr(self, attr_name, None)
+        self.name = None
+        self.sample_id = None
+        self.consensus_seq_string = None
+        self.sub_positions = None
+        self.specific_nt_covs_dict = None
+        self.nonspecific_nt_covs_dict = None
+        self.specific_covs = None
+        self.nonspecific_covs = None
+        self.insert_starts = None
+        self.insert_strings = None
+        self.spec_insert_covs = None
+        self.nonspec_insert_covs = None
+        self.del_starts = None
+        self.del_lengths = None
+        self.spec_del_covs = None
+        self.nonspec_del_covs = None
+        self.norm_seq_summaries = None
 
 
-class SeedSequence(object):
+class SeedSeq(object):
 
     __slots__ = (
         'name',
-        'string',
+        'seq_string',
         'meets_feature_threshold',
-        'summaries_Nu',
-        'summaries_M',
-        'anticodon_string',
-        'feature_dict',
-        'total_spec_covs',
-        'total_nonspec_covs',
-        'total_mean_spec_cov',
-        'total_mean_nonspec_cov',
-        'sample_spec_covs_dict',
-        'sample_nonspec_covs_dict',
+        'unmod_norm_seq_summaries',
+        'mod_seq_summaries',
+        'anticodon_seq_string',
+        'total_specific_covs',
+        'total_nonspecific_covs',
+        'total_mean_specific_cov',
+        'total_mean_nonspecific_cov',
+        'sample_specific_covs_dict',
+        'sample_nonspecific_covs_dict',
         'sample_summed_covs_dict',
-        'sample_spec_nt_covs_dict',
-        'sample_nonspec_nt_covs_dict',
+        'sample_specific_nt_covs_dict',
+        'sample_nonspecific_nt_covs_dict',
         'sample_summed_nt_covs_dict',
-        'sample_mean_spec_cov_dict',
-        'sample_mean_nonspec_cov_dict',
+        'sample_mean_specific_cov_dict',
+        'sample_mean_nonspecific_cov_dict',
         'sample_mean_summed_cov_dict',
-        'sample_std_spec_cov_dict',
-        'sample_std_nonspec_cov_dict',
+        'sample_std_specific_cov_dict',
+        'sample_std_nonspecific_cov_dict',
         'sample_std_summed_cov_dict',
-        'sample_spec_abund_dict',
-        'sample_nonspec_abund_dict',
-        'sample_summed_abund_dict',
-        'sample_spec_rel_abund_dict',
-        'sample_nonspec_rel_abund_dict',
-        'sample_summed_rel_abund_dict',
-        'sample_spec_detection_dict',
-        'sample_nonspec_detection_dict',
+        'sample_specific_abundances_dict',
+        'sample_nonspecific_abundances_dict',
+        'sample_summed_abundances_dict',
+        'sample_specific_relative_abundances_dict',
+        'sample_nonspecific_relative_abundances_dict',
+        'sample_summed_relative_abundances_dict',
+        'sample_specific_detection_dict',
+        'sample_nonspecific_detection_dict',
         'sample_summed_detection_dict',
-        'sample_mean_Q2Q3_spec_cov_dict',
-        'sample_mean_Q2Q3_nonspec_cov_dict',
+        'sample_mean_Q2Q3_specific_cov_dict',
+        'sample_mean_Q2Q3_nonspecific_cov_dict',
         'sample_mean_Q2Q3_summed_cov_dict',
-        'sample_normalized_mean_Q2Q3_spec_cov_dict',
-        'sample_normalized_mean_Q2Q3_nonspec_cov_dict',
+        'sample_normalized_mean_Q2Q3_specific_cov_dict',
+        'sample_normalized_mean_Q2Q3_nonspecific_cov_dict',
         'sample_normalized_mean_Q2Q3_summed_cov_dict',
-        'sample_spec_max_normalized_ratio_dict',
-        'sample_nonspec_max_normalized_ratio_dict',
+        'sample_specific_max_normalized_ratio_dict',
+        'sample_nonspecific_max_normalized_ratio_dict',
         'sample_summed_max_normalized_ratio_dict',
         'gc_fraction',
         'sample_sub_positions_dict',
-        'total_sub_positions',
+        'total_mod_positions',
+        'sample_mod_positions_dict',
         'sample_variability_dict',
         'sample_insert_dict',
         'sample_del_dict'
     )
 
     def __init__(self):
-        for attr_name in SeedSequence.__slots__:
-            setattr(self, attr_name, None)
-
-
-class DatabaseMerger(object):
-    """Merges tRNA-seq database(s) into contigs, auxiliary, and profile databases. "Contigs" in
-    this context are tRNA seed sequences representing tRNA identified in the samples."""
+        self.name = None
+        self.seq_string = None
+        self.meets_feature_threshold = None
+        self.unmod_norm_seq_summaries = None
+        self.mod_seq_summaries = None
+        self.anticodon_seq_string = None
+        self.total_specific_covs = None
+        self.total_nonspecific_covs = None
+        self.total_mean_specific_cov = None
+        self.total_mean_nonspecific_cov = None
+        self.sample_specific_covs_dict = None
+        self.sample_nonspecific_covs_dict = None
+        self.sample_summed_covs_dict = None
+        self.sample_specific_nt_covs_dict = None
+        self.sample_nonspecific_nt_covs_dict = None
+        self.sample_summed_nt_covs_dict = None
+        self.sample_mean_specific_cov_dict = None
+        self.sample_mean_nonspecific_cov_dict = None
+        self.sample_mean_summed_cov_dict = None
+        self.sample_std_specific_cov_dict = None
+        self.sample_std_nonspecific_cov_dict = None
+        self.sample_std_summed_cov_dict = None
+        self.sample_specific_abundances_dict = None
+        self.sample_nonspecific_abundances_dict = None
+        self.sample_summed_abundances_dict = None
+        self.sample_specific_relative_abundances_dict = None
+        self.sample_nonspecific_relative_abundances_dict = None
+        self.sample_summed_relative_abundances_dict = None
+        self.sample_specific_detection_dict = None
+        self.sample_nonspecific_detection_dict = None
+        self.sample_summed_detection_dict = None
+        self.sample_mean_Q2Q3_specific_cov_dict = None
+        self.sample_mean_Q2Q3_nonspecific_cov_dict = None
+        self.sample_mean_Q2Q3_summed_cov_dict = None
+        self.sample_normalized_mean_Q2Q3_specific_cov_dict = None
+        self.sample_normalized_mean_Q2Q3_nonspecific_cov_dict = None
+        self.sample_normalized_mean_Q2Q3_summed_cov_dict = None
+        self.sample_specific_max_normalized_ratio_dict = None
+        self.sample_nonspecific_max_normalized_ratio_dict = None
+        self.sample_summed_max_normalized_ratio_dict = None
+        self.gc_fraction = None
+        self.sample_sub_positions_dict = None
+        self.total_mod_positions = None
+        self.sample_mod_positions_dict = None
+        self.sample_variability_dict = None
+        self.sample_insert_dict = None
+        self.sample_del_dict = None
+
+
+class DatabaseConverter(object):
+    """Converts tRNA-seq database(s) into contigs, auxiliary, and profile databases.
+
+    "Contigs" in this context are tRNA seed sequences representing tRNA identified in the collection
+    of samples.
+    """
 
-    # The following constants are columns needed from tables of a tRNA-seq database.
-    # Load all feature positional indices but the 3' terminus start and stop indices.
-    FEATURE_INDEX_COLS_OF_INTEREST = list(chain(*zip([f + '_start' for f in TRNA_FEATURE_NAMES[: -1]],
-                                                     [f + '_stop' for f in TRNA_FEATURE_NAMES[: -1]]))) + ['alpha_start', 'alpha_stop', 'beta_start', 'beta_stop']
+    # The columns needed from tables of a tRNA-seq database.
     FEATURE_TABLE_COLS_OF_INTEREST = [
         'name',
-        'anticodon_sequence',
-        'num_extra_fiveprime',
-    ] + FEATURE_INDEX_COLS_OF_INTEREST
+        'anticodon_sequence'
+    ]
     TRIMMED_TABLE_COLS_OF_INTEREST = [
         'name',
         'sequence'
@@ -5192,6 +5156,7 @@ class DatabaseMerger(object):
     ]
 
     def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
+        self.args = args
         self.run = run
         self.progress = progress
 
@@ -5204,14 +5169,14 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
 
         # Argument group B: EXTRAS
         self.num_threads = A('num_threads')
-        self.seed_limit = A('max_reported_trna_seeds')
+        self.seed_seq_limit = A('max_reported_trna_seeds')
         self.overwrite_out_dest = A('overwrite_output_destinations')
         self.descrip_path = os.path.abspath(A('description')) if A('description') else None
 
         # Argument group C: ADVANCED
         self.feature_threshold = A('feature_threshold')
         self.preferred_treatment = A('preferred_treatment')
-        self.nonspec_output = A('nonspecific_output')
+        self.nonspecific_output = A('nonspecific_output')
         self.min_variation = A('min_variation')
         self.min_third_fourth_nt = A('min_third_fourth_nt')
         self.min_indel_fraction = A('min_indel_fraction')
@@ -5219,20 +5184,21 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
         self.linkage = A('linkage') or constants.linkage_method_default
 
         if not self.project_name:
-            raise ConfigError("Please specify a name for the collection of input tRNA-seq dbs using --project-name or -n.")
+            raise ConfigError("Please specify a name for the collection of input tRNA-seq dbs "
+                              "using --project-name or -n.")
         if not self.out_dir:
             raise ConfigError("Please provide an output directory using --output-dir or -o.")
 
         self.contigs_db_path = None
         self.contigs_db_hash = None
 
-        self.spec_out_dir = None
-        self.spec_profile_db_path = None
-        self.spec_auxiliary_db_path = None
+        self.specific_out_dir = None
+        self.specific_profile_db_path = None
+        self.specific_auxiliary_db_path = None
 
-        self.nonspec_out_dir = None
-        self.nonspec_profile_db_path = None
-        self.nonspec_auxiliary_db_path = None
+        self.nonspecific_out_dir = None
+        self.nonspecific_profile_db_path = None
+        self.nonspecific_auxiliary_db_path = None
         self.summed_out_dir = None
         self.summed_profile_db_path = None
         self.summed_auxiliary_db_path = None
@@ -5248,29 +5214,26 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
         self.trnaseq_dbs_info_dict = OrderedDict()
         self.num_trnaseq_dbs = None
         self.trnaseq_db_sample_ids = None
-        self.dict_summaries_Nu = defaultdict(list)
-        self.dict_summaries_M = defaultdict(list)
-
-        self.sample_total_mean_spec_cov_dict = None
-        self.sample_total_discriminator_spec_cov_dict = None
+        self.unmod_norm_seq_summaries_dict = OrderedDict()
+        self.mod_seq_summaries_dict = OrderedDict()
 
-        self.seeds = None
+        self.seed_seqs = None
         self.total_seed_length = None
 
-        self.sample_total_spec_cov_dict = None
-        self.sample_total_nonspec_cov_dict = None
+        self.sample_total_specific_cov_dict = None
+        self.sample_total_nonspecific_cov_dict = None
         self.sample_total_summed_cov_dict = None
-        self.sample_overall_mean_spec_cov_dict = None
-        self.sample_mean_nonspec_cov_dict = None
+        self.sample_overall_mean_specific_cov_dict = None
+        self.sample_mean_nonspecific_cov_dict = None
         self.sample_mean_summed_cov_dict = None
         self.sample_normalization_multiplier_dict = None
 
-        self.overall_mean_spec_cov = None
-        self.overall_mean_nonspec_cov = None
+        self.overall_mean_specific_cov = None
+        self.overall_mean_nonspecific_cov = None
 
         self.variable_nts_table_entries = None
-        self.spec_indels_table_entries = None
-        self.nonspec_indels_table_entries = None
+        self.specific_indels_table_entries = None
+        self.nonspecific_indels_table_entries = None
         self.summed_indels_table_entries = None
 
 
@@ -5283,69 +5246,71 @@ def process(self):
 
         self.form_seeds()
 
-        filesnpaths.gen_output_directory(self.spec_out_dir)
-        self.generate_contigs_database()
-        self.generate_auxiliary_database('specific')
+        filesnpaths.gen_output_directory(self.specific_out_dir)
+        self.gen_contigs_db()
+        self.gen_auxiliary_db('specific')
 
-        self.set_sample_total_coverages()
-        self.set_sample_overall_mean_coverages()
-        self.set_sample_mean_coverages()
-        self.set_sample_coverage_standard_deviations()
+        self.set_sample_total_covs()
+        self.set_sample_overall_mean_covs()
+        self.set_sample_mean_covs()
+        self.set_sample_std_covs()
         self.set_sample_abundances()
         self.set_sample_normalization_multipliers()
         self.set_sample_normalized_mean_Q2Q3_coverages()
         self.set_sample_detections()
         self.set_sample_relative_abundances()
         self.set_sample_max_normalized_ratios()
-        self.set_variable_nucleotides_table_entries()
+        self.set_variable_nts_table_entries()
         self.set_indels_table_entries()
-        self.generate_profile_database('specific')
+        self.gen_profile_db('specific')
 
-        if self.nonspec_out_dir:
-            filesnpaths.gen_output_directory(self.nonspec_out_dir, delete_if_exists=self.overwrite_out_dest)
-            self.generate_auxiliary_database('nonspecific')
-            self.generate_profile_database('nonspecific')
+        if self.nonspecific_out_dir:
+            filesnpaths.gen_output_directory(self.nonspecific_out_dir, delete_if_exists=self.overwrite_out_dest)
+            self.gen_auxiliary_db('nonspecific')
+            self.gen_profile_db('nonspecific')
         if self.combined_out_dir:
             filesnpaths.gen_output_directory(self.combined_out_dir, delete_if_exists=self.overwrite_out_dest)
-            self.generate_auxiliary_database('combined')
-            self.generate_profile_database('combined')
+            self.gen_auxiliary_db('combined')
+            self.gen_profile_db('combined')
         if self.summed_out_dir:
             filesnpaths.gen_output_directory(self.summed_out_dir, delete_if_exists=self.overwrite_out_dest)
-            self.generate_auxiliary_database('summed')
-            self.generate_profile_database('summed')
+            self.gen_auxiliary_db('summed')
+            self.gen_profile_db('summed')
 
 
     def sanity_check(self):
-        """Check `anvi-merge-trnaseq` arguments."""
+        """Check user inputs before proceeding."""
         for trnaseq_db_path in self.trnaseq_db_paths:
             utils.is_trnaseq_db(trnaseq_db_path)
         self.populate_trnaseq_dbs_info_dict()
-        self.trnaseq_db_sample_ids = [trnaseq_db_info_dict['sample_id'] for trnaseq_db_info_dict in self.trnaseq_dbs_info_dict.values()]
+        self.trnaseq_db_sample_ids = [inner_dict['sample_id'] for inner_dict in self.trnaseq_dbs_info_dict.values()]
         if len(self.trnaseq_dbs_info_dict) != len(set(self.trnaseq_db_sample_ids)):
-            raise ConfigError("Sample IDs in each input tRNA-seq db must be unique. "
-                              "This is not the case with your input. "
-                              "Here are the sample names so you can see which ones occur more than once: "
-                              f"'{', '.join(self.trnaseq_db_sample_ids)}'")
+            raise ConfigError("Sample IDs in each input tRNA-seq db must be unique. This is not "
+                              "the case with your input. Here are the sample names so you can see "
+                              "which ones occur more than once: '%s'" % (", ".join(self.trnaseq_db_sample_ids)))
         self.num_trnaseq_dbs = len(self.trnaseq_db_sample_ids)
 
         self.check_trnaseq_db_versions()
 
-        self.out_dir = filesnpaths.check_output_directory(self.out_dir, ok_if_exists=self.overwrite_out_dest)
+        self.out_dir = filesnpaths.check_output_directory(self.out_dir,
+                                                          ok_if_exists=self.overwrite_out_dest)
         self.out_dir = os.path.abspath(self.out_dir)
 
         self.contigs_db_path = os.path.join(self.out_dir, 'CONTIGS.db')
         self.contigs_db_hash = 'hash' + str('%08x' % random.randrange(16**8))
 
-        self.spec_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'SPECIFIC_COVERAGE'), ok_if_exists=self.overwrite_out_dest)
-        self.spec_profile_db_path = os.path.join(self.spec_out_dir, 'PROFILE.db')
-        self.spec_auxiliary_db_path = os.path.join(self.spec_out_dir, 'AUXILIARY-DATA.db')
+        self.specific_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'SPECIFIC_COVERAGE'),
+                                                                   ok_if_exists=self.overwrite_out_dest)
+        self.specific_profile_db_path = os.path.join(self.specific_out_dir, 'PROFILE.db')
+        self.specific_auxiliary_db_path = os.path.join(self.specific_out_dir, 'AUXILIARY-DATA.db')
 
         if not 1 <= self.num_threads <= mp.cpu_count():
-            raise ConfigError(f"The number of threads to use must be a positive integer less than or equal to {mp.cpu_count()}. Try again!")
+            raise ConfigError("The number of threads to use must be a positive integer less than or equal to %d. "
+                              "Try again!" % mp.cpu_count())
 
         self.set_treatment_preference()
 
-        self.set_nonspecific_database_info()
+        self.set_nonspecific_db_info()
 
         utils.check_sample_id(self.project_name)
 
@@ -5354,17 +5319,18 @@ def sanity_check(self):
             self.descrip_path = os.path.abspath(self.descrip_path)
             self.descrip = open(self.descrip_path).read()
 
-        if self.seed_limit == -1:
-            self.seed_limit = MAXSIZE
-        elif self.seed_limit < 1:
-            raise ConfigError(f"{self.seed_limit} is an invalid value for `--max-reported-seed-seqs`. "
-                              "To remove the limit on tRNA seeds reported to the contigs db, provide a value of -1. "
-                              "Otherwise provide an integer greater than 0.")
+        if self.seed_seq_limit == -1:
+            self.seed_seq_limit = MAXSIZE
+        elif self.seed_seq_limit < 1:
+            raise ConfigError(f"{self.seed_seq_limit} is an invalid value for `--max-reported-seed-seqs`. "
+                              "To remove the limit on tRNA seeds reported to the contigs db, "
+                              "provide a value of -1. Otherwise provide an integer greater than 0.")
 
         self.run.info("Input tRNA-seq dbs", ", ".join(self.trnaseq_db_paths))
         if self.preferred_treatment:
             self.run.info("Databases preferred for seed formation",
-                          ", ".join([trnaseq_db_path for trnaseq_db_num, trnaseq_db_path in enumerate(self.trnaseq_db_paths)
+                          ", ".join([trnaseq_db_path for trnaseq_db_num, trnaseq_db_path
+                                     in enumerate(self.trnaseq_db_paths)
                                      if trnaseq_db_num in self.preferred_trnaseq_db_nums]))
         self.run.info("Output directory", self.out_dir)
 
@@ -5377,13 +5343,13 @@ def populate_trnaseq_dbs_info_dict(self):
 
 
     def check_trnaseq_db_versions(self):
-        if len(set([trnaseq_db_info_dict['version'] for trnaseq_db_info_dict in self.trnaseq_dbs_info_dict.values()])) > 1:
-            trnaseq_db_version_report = "\n".join(
-                [trnaseq_db_path + " : " + trnaseq_db_info_dict['version']
-                 for trnaseq_db_path, trnaseq_db_info_dict in self.trnaseq_dbs_info_dict.items()])
+        if len(set([inner_dict['version'] for inner_dict in self.trnaseq_dbs_info_dict.values()])) > 1:
+            trnaseq_db_version_report = "\n".join([trnaseq_db_path + " : " + inner_dict['version']
+                                                   for trnaseq_db_path, inner_dict in self.trnaseq_dbs_info_dict.items()])
             if anvio.FORCE:
-                self.run.warning("Not all input tRNA-seq dbs have the same version number, but since you have used the `--force` flag, "
-                                 "`anvi-merge-trnaseq` will proceed though this is dangerous and may lead to errors. "
+                self.run.warning("Not all input tRNA-seq dbs have the same version number, "
+                                 "but since you have used the `--force` flag, `anvi-convert-trnaseq-database` "
+                                 "will proceed though this is dangerous and may lead to errors. "
                                  f"Here is the version number of each database:\n{trnaseq_db_version_report}")
             else:
                 raise ConfigError("Not all input tRNA-seq dbs have the same version number. "
@@ -5394,112 +5360,70 @@ def set_treatment_preference(self):
         if not self.preferred_treatment:
             return
 
-        input_treatments = [trnaseq_db_info_dict['treatment'] for trnaseq_db_info_dict in self.trnaseq_dbs_info_dict.values()]
+        input_treatments = [inner_dict['treatment'] for inner_dict in self.trnaseq_dbs_info_dict.values()]
         self.preferred_trnaseq_db_sample_ids = []
         self.preferred_trnaseq_db_nums = []
         if self.preferred_treatment not in input_treatments:
-            raise ConfigError(f"You provided a preferred treatment type, {self.preferred_treatment}, "
+            raise ConfigError("You provided a preferred treatment type, %s, "
                               "but it was not found in any of the input dbs, "
-                              f"which were found to have the following treatments: {', '.join(input_treatments)}.")
+                              "which were found to have the following treatments: %s."
+                              % (self.preferred_treatment, ', '.join(input_treatments)))
         for trnaseq_db_num, treatment in enumerate(input_treatments):
             if self.preferred_treatment == treatment:
                 self.preferred_trnaseq_db_sample_ids.append(self.trnaseq_db_sample_ids[trnaseq_db_num])
                 self.preferred_trnaseq_db_nums.append(trnaseq_db_num)
 
 
-    def set_nonspecific_database_info(self):
-        self.nonspec_db_types = self.nonspec_output.split(',')
-        for nonspec_db_type in self.nonspec_db_types:
-            if nonspec_db_type not in ['nonspecific_db', 'combined_db', 'summed_db']:
+    def set_nonspecific_db_info(self):
+        self.nonspecific_db_types = self.nonspecific_output.split(',')
+        for nonspecific_db_type in self.nonspecific_db_types:
+            if nonspecific_db_type not in ['nonspecific_db', 'combined_db', 'summed_db']:
                 raise ConfigError("The nonspecific profile db types provided by `--nonspecific-output` are not recognized. "
-                                  "The db types must be comma separated without spaces, e.g., 'nonspecific_db,combined_db,summed_db'. "
-                                  f"Your argument was: {self.nonspec_output}'")
-
-        if 'nonspecific_db' in self.nonspec_db_types:
-            self.nonspec_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'NONSPECIFIC_COVERAGE'), ok_if_exists=self.overwrite_out_dest)
-            self.nonspec_profile_db_path = os.path.join(self.nonspec_out_dir, 'PROFILE.db')
-            self.nonspec_auxiliary_db_path = os.path.join(self.nonspec_out_dir, 'AUXILIARY-DATA.db')
-
-        if 'combined_db' in self.nonspec_db_types:
-            self.combined_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'COMBINED_COVERAGE'), ok_if_exists=self.overwrite_out_dest)
+                                  "The db types must be comma separated without spaces, "
+                                  f"e.g., 'nonspecific_db,combined_db,summed_db'. Your argument was: {self.nonspecific_output}'")
+
+        if 'nonspecific_db' in self.nonspecific_db_types:
+            self.nonspecific_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'NONSPECIFIC_COVERAGE'),
+                                                                          ok_if_exists=self.overwrite_out_dest)
+            self.nonspecific_profile_db_path = os.path.join(self.nonspecific_out_dir, 'PROFILE.db')
+            self.nonspecific_auxiliary_db_path = os.path.join(self.nonspecific_out_dir, 'AUXILIARY-DATA.db')
+
+        if 'combined_db' in self.nonspecific_db_types:
+            self.combined_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'COMBINED_COVERAGE'),
+                                                                       ok_if_exists=self.overwrite_out_dest)
             self.combined_profile_db_path = os.path.join(self.combined_out_dir, 'PROFILE.db')
             self.combined_auxiliary_db_path = os.path.join(self.combined_out_dir, 'AUXILIARY-DATA.db')
 
-        if 'summed_db' in self.nonspec_db_types:
-            self.summed_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'SUMMED_COVERAGE'), ok_if_exists=self.overwrite_out_dest)
+        if 'summed_db' in self.nonspecific_db_types:
+            self.summed_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'SUMMED_COVERAGE'),
+                                                                     ok_if_exists=self.overwrite_out_dest)
             self.summed_profile_db_path = os.path.join(self.summed_out_dir, 'PROFILE.db')
             self.summed_auxiliary_db_path = os.path.join(self.summed_out_dir, 'AUXILIARY-DATA.db')
 
 
     def load_trnaseq_dbs(self):
-        """Load information from input tRNA-seq databases."""
         loaded_db_count = 0
-        trnaseq_db_paths = self.trnaseq_db_paths
-        num_trnaseq_db_paths = len(trnaseq_db_paths)
-        pid = "Loading seq info from tRNA-seq dbs"
-        self.progress.new(pid)
+        num_trnaseq_db_paths = len(self.trnaseq_db_paths)
+        self.progress.new("Loading seq info from tRNA-seq dbs")
         self.progress.update(f"{loaded_db_count}/{num_trnaseq_db_paths} dbs loaded")
 
         manager = mp.Manager()
         input_queue = manager.Queue()
-        output_queue_Nu_summaries = manager.Queue()
-        output_queue_M_summaries = manager.Queue()
-        processes = [mp.Process(target=trnaseq_db_loader,
-                                args=(input_queue, output_queue_Nu_summaries, output_queue_M_summaries, self))
+        output_queue = manager.Queue()
+        processes = [mp.Process(target=trnaseq_db_loader, args=(input_queue, output_queue, self))
                      for _ in range(self.num_threads)]
         for p in processes:
             p.start()
 
-        for trnaseq_db_path in trnaseq_db_paths:
+        for trnaseq_db_path in self.trnaseq_db_paths:
             input_queue.put(trnaseq_db_path)
 
-        poison_pill_count = 0
-        dict_summaries_Nu = self.dict_summaries_Nu
-        dict_summaries_M = self.dict_summaries_M
-        empty = queue.Empty
-        db_completion_dict = {}
-        while poison_pill_count < len(trnaseq_db_paths) * 2:
-            # For each input db, one poison pill is put at the end of the Nu queue and another at
-            # the end of the M queue.
-            try:
-                summary_item = output_queue_Nu_summaries.get_nowait()
-                try:
-                    trnaseq_db_path, summary_Nu = summary_item
-                    dict_summaries_Nu[trnaseq_db_path].append(summary_Nu)
-                except ValueError:
-                    # The poison pill indicates there are no more Nu to be retrieved.
-                    trnaseq_db_path = summary_item
-                    poison_pill_count += 1
-                    try:
-                        # The poison pill was already returned in the db's M queue, so all Nu and M
-                        # have been retrieved, and the db has been fully processed.
-                        db_completion_dict[trnaseq_db_path] += 1
-                        loaded_db_count += 1
-                        self.progress.update_pid(pid)
-                        self.progress.update(f"{loaded_db_count}/{num_trnaseq_db_paths} dbs loaded")
-                    except KeyError:
-                        # The poison pill has not been returned in the db's M queue.
-                        db_completion_dict[trnaseq_db_path] = 1
-            except empty:
-                pass # waiting on items in the Nu queue
-
-            try:
-                summary_item = output_queue_M_summaries.get_nowait()
-                try:
-                    trnaseq_db_path, summary_M = summary_item
-                    dict_summaries_M[trnaseq_db_path].append(summary_M)
-                except ValueError:
-                    trnaseq_db_path = summary_item
-                    poison_pill_count += 1
-                    try:
-                        db_completion_dict[trnaseq_db_path] += 1
-                        loaded_db_count += 1
-                        self.progress.update_pid(pid)
-                        self.progress.update(f"{loaded_db_count}/{num_trnaseq_db_paths} dbs loaded")
-                    except KeyError:
-                        db_completion_dict[trnaseq_db_path] = 1
-            except empty:
-                pass # waiting on items in the M queue
+        while loaded_db_count < len(self.trnaseq_db_paths):
+            trnaseq_db_path, unmod_norm_seq_summaries, mod_seq_summaries = output_queue.get()
+            self.unmod_norm_seq_summaries_dict[trnaseq_db_path] = unmod_norm_seq_summaries
+            self.mod_seq_summaries_dict[trnaseq_db_path] = mod_seq_summaries
+            loaded_db_count += 1
+            self.progress.update(f"{loaded_db_count}/{num_trnaseq_db_paths} dbs loaded")
 
         for p in processes:
             p.terminate()
@@ -5508,7 +5432,7 @@ def load_trnaseq_dbs(self):
         self.progress.end()
 
 
-    def load_trnaseq_database_sequence_summaries(self, trnaseq_db_path):
+    def load_trnaseq_db_seq_info(self, trnaseq_db_path):
         """Load necessary tRNA sequence data from the input tRNA-seq database.
 
         Unmodified normalized sequences and "modified" sequences, comprising clustered normalized
@@ -5519,925 +5443,707 @@ def load_trnaseq_database_sequence_summaries(self, trnaseq_db_path):
 
         trnaseq_db = dbops.TRNASeqDatabase(trnaseq_db_path)
 
-        dict_N_summary = {} # Used to link N to M summaries
+        norm_seq_summary_dict = {} # Used to link normalized to modified sequence summaries
+
+        # Store normalized sequence strings and feature information.
+        seq_string_and_feature_df = pd.DataFrame(
+            trnaseq_db.db.get_some_columns_from_table('feature', ', '.join(self.FEATURE_TABLE_COLS_OF_INTEREST + [self.feature_threshold + '_start'])),
+            columns=self.FEATURE_TABLE_COLS_OF_INTEREST + [self.feature_threshold + '_start']
+        ).set_index('name')
+
+        if 'stem' in self.feature_threshold:
+            # The starts of both strands of the stem are recorded, so pick the start of the 5' strand.
+            seq_string_and_feature_df[self.feature_threshold + '_start'] = [int(entry.split(',')[0]) if isinstance(entry, str) else entry for entry
+                                                                            in seq_string_and_feature_df[self.feature_threshold + '_start'].fillna(-1).tolist()]
+        else:
+            seq_string_and_feature_df[self.feature_threshold + '_start'] = seq_string_and_feature_df[self.feature_threshold + '_start'].fillna(-1)
+        seq_string_and_feature_df['anticodon_sequence'] = seq_string_and_feature_df['anticodon_sequence'].fillna('')
 
-        # Load columns from the "normalized", "features", and "trimmed" tables.
-        df_N = pd.merge(
+        seq_string_and_feature_df = pd.merge(
             pd.DataFrame(
-                trnaseq_db.db.get_some_columns_from_table('normalized', ', '.join(self.NORM_TABLE_COLS_OF_INTEREST)),
-                columns=self.NORM_TABLE_COLS_OF_INTEREST
+                trnaseq_db.db.get_some_columns_from_table('trimmed', ', '.join(self.TRIMMED_TABLE_COLS_OF_INTEREST)),
+                columns=self.TRIMMED_TABLE_COLS_OF_INTEREST
             ).set_index('name'),
-            pd.merge(pd.DataFrame(
-                        trnaseq_db.db.get_some_columns_from_table('feature', ', '.join(self.FEATURE_TABLE_COLS_OF_INTEREST)),
-                        columns=self.FEATURE_TABLE_COLS_OF_INTEREST
-                     ).set_index('name'),
-                     pd.DataFrame(
-                        trnaseq_db.db.get_some_columns_from_table('trimmed', ', '.join(self.TRIMMED_TABLE_COLS_OF_INTEREST)),
-                        columns=self.TRIMMED_TABLE_COLS_OF_INTEREST
-                     ).set_index('name'),
-                     left_index=True,
-                     right_index=True),
+            seq_string_and_feature_df,
             left_index=True,
             right_index=True)
 
-        FEATURE_INDEX_COLS_OF_INTEREST = self.FEATURE_INDEX_COLS_OF_INTEREST
-        threshold_feature = self.feature_threshold + '_start'
-        # The starts of both strands of the stem are recorded, so pick the start of the 5' strand.
-        is_threshold_feature_stem = True if 'stem' in threshold_feature else False
-        for info_N in df_N.itertuples():
-            if info_N.id_info == 'indel_aligned':
-                # Ignore Ni. The coverage of indels themselves is recorded in the parent M, but the
-                # contribution of Ni to nt coverage is ignored. Inclusion of Ni would produce
-                # numerous complications (e.g., they don't have feature profiles).
+        for norm_seq_info in trnaseq_db.db.get_some_columns_from_table('normalized', ', '.join(self.NORM_TABLE_COLS_OF_INTEREST)):
+            (name,
+             id_info,
+             mean_specific_cov,
+             specific_covs_string,
+             nonspecific_covs_string) = norm_seq_info
+
+            if id_info == 'indel_aligned':
+                # Ignore normalized sequences with indels. The coverage of indels themselves
+                # is recorded in the parent modified sequence, but the contribution of these
+                # sequences to nucleotide coverage is ignored. Inclusion of these sequences would
+                # produce numerous complications (e.g., they don't have feature profiles).
                 continue
 
-            summary_N = NormalizedSequenceSummary()
-            summary_N.name = info_N.Index
-            summary_N.sample_id = sample_id
-            summary_N.mean_spec_cov = info_N.mean_specific_coverage
-            # There is a trailing comma in the coverage strings.
-            summary_N.spec_covs = np.fromiter(map(int, info_N.specific_coverages.split(',')[: -1]), int)
-            summary_N.nonspec_covs = np.fromiter(map(int, info_N.nonspecific_coverages.split(',')[: -1]), int)
-            summary_N.string = info_N.sequence
-            summary_N.anticodon_string = info_N.anticodon_sequence if info_N.anticodon_sequence else ''
-            length_N = len(summary_N.string)
-            summary_N.spec_nt_covs_dict = spec_nt_covs_dict = {nt: np.zeros(length_N, dtype=int) for nt in UNAMBIG_NTS}
-            summary_N.nonspec_nt_covs_dict = nonspec_nt_covs_dict = {nt: np.zeros(length_N, dtype=int) for nt in UNAMBIG_NTS}
-            for nt_pos, nt, spec_cov, nonspec_cov in zip(range(length_N), summary_N.string, summary_N.spec_covs, summary_N.nonspec_covs):
-                spec_nt_covs_dict[nt][nt_pos] += spec_cov
-                nonspec_nt_covs_dict[nt][nt_pos] += nonspec_cov
-
-            length_5prime = info_N.num_extra_fiveprime
-            summary_N.feature_dict = feature_dict = OrderedDict()
-            for feature_index_col in FEATURE_INDEX_COLS_OF_INTEREST: # `trna_his_position_0_start`, etc.
-                db_value = getattr(info_N, feature_index_col)
-                if isinstance(db_value, str):
-                    # The string contains the start indices of stem strands.
-                    if length_5prime:
-                        split_db_value = tuple(map(int, db_value.split(',')))
-                        feature_dict[feature_index_col] = (split_db_value[0] - length_5prime, split_db_value[1] - length_5prime)
-                    else:
-                        feature_dict[feature_index_col] = tuple(map(int, db_value.split(',')))
-                else:
-                    try:
-                        # N/A in numerical columns where the feature is not a stem load as `np.nan`.
-                        # Represent missing feature indices as an impossibly negative number.
-                        if np.isnan(db_value):
-                            feature_dict[feature_index_col] = -1000
-                        else:
-                            feature_dict[feature_index_col] = int(db_value) - length_5prime
-                    except TypeError:
-                        # N/A in string columns where the feature is a stem load as `None`.
-                        feature_dict[feature_index_col] = -1000
-
-            db_value = getattr(info_N, threshold_feature)
-            if is_threshold_feature_stem:
-                summary_N.feature_threshold_start = int(db_value.split(',')[0]) - length_5prime if isinstance(db_value, str) else -1000
-            else:
-                summary_N.feature_threshold_start = -1000 if np.isnan(db_value) else db_value - length_5prime
-
-            dict_N_summary[summary_N.name] = summary_N
-
-        summaries_M = []
-        for info_M in pd.DataFrame(
-            trnaseq_db.db.get_some_columns_from_table('modified', ', '.join(self.MOD_TABLE_COLS_OF_INTEREST)),
-            columns=self.MOD_TABLE_COLS_OF_INTEREST).set_index('name').itertuples():
-            summary_M = ModifiedSequenceSummary()
-            summary_M.name = info_M.Index
-            summary_M.sample_id = sample_id
-            # There is a trailing comma in the substitution and indel coverage and position strings.
-            summary_M.sub_positions = np.fromiter(map(int, info_M.substitution_positions.split(',')[: -1]), int)
-            summary_M.consensus_string = consensus_string = info_M.consensus_sequence
-
-            # Make nt variability arrays covering every position in the seq. Start with arrays of
-            # overall specific/nonspecific coverage with nonzero values for the nts found in the
-            # consensus seq, and then correct the variable positions.
-            seq_length = len(consensus_string)
-            summary_M.spec_nt_covs_dict = spec_nt_covs_dict = {nt: np.zeros(seq_length, int) for nt in UNAMBIG_NTS}
-            summary_M.nonspec_nt_covs_dict = nonspec_nt_covs_dict = {nt: np.zeros(seq_length, int) for nt in UNAMBIG_NTS}
+            norm_seq_summary = NormalizedSeqSummary()
+            norm_seq_summary.name = name
+            norm_seq_summary.sample_id = sample_id
+            norm_seq_summary.mean_specific_cov = mean_specific_cov
+            # There is always a trailing comma in the coverage strings.
+            norm_seq_summary.specific_covs = np.fromiter(map(int, specific_covs_string.split(',')[: -1]), int)
+            norm_seq_summary.nonspecific_covs = np.fromiter(map(int, nonspecific_covs_string.split(',')[: -1]), int)
+            (norm_seq_summary.seq_string,
+             norm_seq_summary.anticodon_seq_string,
+             norm_seq_summary.feature_threshold_start) = seq_string_and_feature_df.loc[norm_seq_summary.name, ['sequence', 'anticodon_sequence', self.feature_threshold + '_start']]
+
+            norm_seq_summary_dict[norm_seq_summary.name] = norm_seq_summary
+
+        mod_seq_summaries = []
+        for mod_seq_info in trnaseq_db.db.get_some_columns_from_table('modified', ', '.join(self.MOD_TABLE_COLS_OF_INTEREST)):
+            (name,
+             specific_covs,
+             nonspecific_covs,
+             names_of_norm_seqs_without_indels,
+             names_of_norm_seqs_with_indels,
+             sub_positions,
+             sub_A_specific_covs,
+             sub_C_specific_covs,
+             sub_G_specific_covs,
+             sub_T_specific_covs,
+             sub_A_nonspecific_covs,
+             sub_C_nonspecific_covs,
+             sub_G_nonspecific_covs,
+             sub_T_nonspecific_covs,
+             insert_starts,
+             insert_strings,
+             spec_insert_covs,
+             nonspec_insert_covs,
+             del_starts,
+             del_lengths,
+             spec_del_covs,
+             nonspec_del_covs,
+             consensus_seq_string) = mod_seq_info
+
+            mod_seq_summary = ModifiedSeqSummary()
+            mod_seq_summary.name = name
+            mod_seq_summary.sample_id = sample_id
+            # There is always a trailing comma in the substitution and deletion coverage and
+            # position strings.
+            mod_seq_summary.sub_positions = np.fromiter(map(int, sub_positions.split(',')[: -1]), int)
+            mod_seq_summary.consensus_seq_string = consensus_seq_string
+
+            # Make nucleotide variability arrays covering every position in the sequence. Start with
+            # arrays of overall specific/nonspecific coverage with nonzero values for the
+            # nucleotides found in the consensus sequence, and then correct the variable positions.
+            seq_length = len(consensus_seq_string)
+            specific_nt_covs_dict = {nt: np.zeros(seq_length, int) for nt in UNAMBIG_NTS}
+            nonspecific_nt_covs_dict = {nt: np.zeros(seq_length, int) for nt in UNAMBIG_NTS}
             pos = 0
-            for nt, spec_cov, nonspec_cov in zip(consensus_string,
-                                                 info_M.specific_coverages.split(',')[: -1],
-                                                 info_M.nonspecific_coverages.split(',')[: -1]):
-                spec_nt_covs_dict[nt][pos] = spec_cov
-                nonspec_nt_covs_dict[nt][pos] = nonspec_cov
+            for nt, specific_cov, nonspecific_cov in zip(consensus_seq_string,
+                                                         specific_covs.split(',')[: -1],
+                                                         nonspecific_covs.split(',')[: -1]):
+                specific_nt_covs_dict[nt][pos] = specific_cov
+                nonspecific_nt_covs_dict[nt][pos] = nonspecific_cov
                 pos += 1
-            for nt in UNAMBIG_NTS:
-                sub_positions = summary_M.sub_positions
-                for sub_pos, spec_nt_cov, nonspec_nt_cov in zip(
-                    sub_positions,
-                    map(int, getattr(info_M, 'substitution_' + nt + '_specific_coverage').split(',')[: -1]),
-                    map(int, getattr(info_M, 'substitution_' + nt + '_nonspecific_coverage').split(',')[: -1])):
-                    spec_nt_covs_dict[nt][sub_pos] = spec_nt_cov
-                    nonspec_nt_covs_dict[nt][sub_pos] = nonspec_nt_cov
-
-            if info_M.insertion_starts == ',':
-                summary_M.insert_starts = np.zeros(0, dtype=int)
-                summary_M.insert_strings = []
-                summary_M.spec_insert_covs = np.zeros(0, dtype=int)
-                summary_M.nonspec_insert_covs = np.zeros(0, dtype=int)
+            for (sub_pos,
+                 specific_A_cov,
+                 specific_C_cov,
+                 specific_G_cov,
+                 specific_T_cov,
+                 nonspecific_A_cov,
+                 nonspecific_C_cov,
+                 nonspecific_G_cov,
+                 nonspecific_T_cov) in zip(map(int, sub_positions.split(',')[: -1]),
+                                           map(int, sub_A_specific_covs.split(',')[: -1]),
+                                           map(int, sub_C_specific_covs.split(',')[: -1]),
+                                           map(int, sub_G_specific_covs.split(',')[: -1]),
+                                           map(int, sub_T_specific_covs.split(',')[: -1]),
+                                           map(int, sub_A_nonspecific_covs.split(',')[: -1]),
+                                           map(int, sub_C_nonspecific_covs.split(',')[: -1]),
+                                           map(int, sub_G_nonspecific_covs.split(',')[: -1]),
+                                           map(int, sub_T_nonspecific_covs.split(',')[: -1])):
+                     specific_nt_covs_dict['A'][sub_pos] = specific_A_cov
+                     specific_nt_covs_dict['C'][sub_pos] = specific_C_cov
+                     specific_nt_covs_dict['G'][sub_pos] = specific_G_cov
+                     specific_nt_covs_dict['T'][sub_pos] = specific_T_cov
+                     nonspecific_nt_covs_dict['A'][sub_pos] = nonspecific_A_cov
+                     nonspecific_nt_covs_dict['C'][sub_pos] = nonspecific_C_cov
+                     nonspecific_nt_covs_dict['G'][sub_pos] = nonspecific_G_cov
+                     nonspecific_nt_covs_dict['T'][sub_pos] = nonspecific_T_cov
+            mod_seq_summary.specific_nt_covs_dict = specific_nt_covs_dict
+            mod_seq_summary.nonspecific_nt_covs_dict = nonspecific_nt_covs_dict
+
+            if insert_starts == ',':
+                mod_seq_summary.insert_starts = []
+                mod_seq_summary.insert_strings = []
+                mod_seq_summary.spec_insert_covs = []
+                mod_seq_summary.nonspec_insert_covs = []
             else:
-                summary_M.insert_starts = np.fromiter(map(int, info_M.insertion_starts.split(',')[: -1]), int)
-                summary_M.insert_strings = list(info_M.insertion_seqs.split(',')[: -1])
-                summary_M.spec_insert_covs = np.fromiter(map(int, info_M.insertion_specific_coverages.split(',')[: -1]), int)
-                summary_M.nonspec_insert_covs = np.fromiter(map(int, info_M.insertion_nonspecific_coverages.split(',')[: -1]), int)
-
-            if info_M.deletion_starts == ',':
-                summary_M.del_starts = np.zeros(0, dtype=int)
-                summary_M.del_lengths = []
-                summary_M.spec_del_covs = np.zeros(0, dtype=int)
-                summary_M.nonspec_del_covs = np.zeros(0, dtype=int)
+                mod_seq_summary.insert_starts = list(map(int, insert_starts.split(',')[: -1]))
+                mod_seq_summary.insert_strings = list(insert_strings.split(',')[: -1])
+                mod_seq_summary.spec_insert_covs = list(map(int, spec_insert_covs.split(',')[: -1]))
+                mod_seq_summary.nonspec_insert_covs = list(map(int, nonspec_insert_covs.split(',')[: -1]))
+            assert len(mod_seq_summary.insert_starts) == len(mod_seq_summary.insert_strings) == len(mod_seq_summary.spec_insert_covs) == len(mod_seq_summary.nonspec_insert_covs)
+
+            if del_starts == ',':
+                mod_seq_summary.del_starts = []
+                mod_seq_summary.del_lengths = []
+                mod_seq_summary.spec_del_covs = []
+                mod_seq_summary.nonspec_del_covs = []
             else:
-                summary_M.del_starts = np.fromiter(map(int, info_M.deletion_starts.split(',')[: -1]), int)
-                summary_M.del_lengths = list(map(int, info_M.deletion_lengths.split(',')[: -1]))
-                summary_M.spec_del_covs = np.fromiter(map(int, info_M.deletion_specific_coverages.split(',')[: -1]), int)
-                summary_M.nonspec_del_covs = np.fromiter(map(int, info_M.deletion_nonspecific_coverages.split(',')[: -1]), int)
+                mod_seq_summary.del_starts = list(map(int, del_starts.split(',')[: -1]))
+                mod_seq_summary.del_lengths = list(map(int, del_lengths.split(',')[: -1]))
+                mod_seq_summary.spec_del_covs = list(map(int, spec_del_covs.split(',')[: -1]))
+                mod_seq_summary.nonspec_del_covs = list(map(int, nonspec_del_covs.split(',')[: -1]))
+            assert len(mod_seq_summary.del_starts) == len(mod_seq_summary.del_lengths) == len(mod_seq_summary.spec_del_covs) == len(mod_seq_summary.nonspec_del_covs)
 
-            summary_M.summaries_Nb = summaries_Nb = []
-            for name_Nb in info_M.names_of_normalized_seqs_without_indels.split(','):
-                summary_Nb = dict_N_summary[name_Nb]
+            mod_seq_summary.norm_seq_summaries = []
+            for norm_seq_name in names_of_norm_seqs_without_indels.split(','):
+                norm_seq_summary = norm_seq_summary_dict[norm_seq_name]
 
-                # Cross-reference the M summary with summary objects of constituent Nb.
-                summary_Nb.summary_M = summary_M
-                summaries_Nb.append(summary_Nb)
+                # Cross-reference the modified sequence summary and constituent modified normalized
+                # sequence summary objects.
+                norm_seq_summary.mod_seq_summary = mod_seq_summary
+                mod_seq_summary.norm_seq_summaries.append(norm_seq_summary)
 
-                # Ensure that all constituent Nb have coverage arrays flush with those of M.
-                if summary_Nb.spec_covs.size < seq_length:
-                    elongation_5prime = np.zeros(seq_length - summary_Nb.spec_covs.size, int)
-                    self.elongate_normalized_sequence_fiveprime(summary_Nb, elongation_5prime)
+                # Ensure that all of the constituent modified normalized sequences have coverage
+                # arrays flush with the modified sequence.
+                if len(norm_seq_summary.seq_string) < len(mod_seq_summary.consensus_seq_string):
+                    fiveprime_extension = np.zeros(len(mod_seq_summary.consensus_seq_string) - len(norm_seq_summary.seq_string), int)
+                    self.extend_norm_seq_fiveprime_end(norm_seq_summary, fiveprime_extension)
+            mod_seq_summaries.append(mod_seq_summary)
 
-            summaries_M.append(summary_M)
+        unmod_norm_seq_summaries = [norm_seq for norm_seq in norm_seq_summary_dict.values()
+                                    if not norm_seq.mod_seq_summary]
 
-        summaries_Nu = [summary_N for summary_N in dict_N_summary.values() if not summary_N.summary_M]
+        return unmod_norm_seq_summaries, mod_seq_summaries
 
-        return summaries_Nu, summaries_M
 
-
-    def elongate_normalized_sequence_fiveprime(self, summary_N, elongation_5prime):
+    def extend_norm_seq_fiveprime_end(self, norm_seq_summary, fiveprime_extension):
         """Seed sequences can be longer than the normalized sequences from the individual samples,
         requiring addition of empty positions in the normalized sequence coverage arrays at the 5'
-        end and reindexing of features, as normalized (and modified) sequences are aligned from the
-        3' end."""
-        summary_N.spec_covs = np.concatenate([elongation_5prime, summary_N.spec_covs])
-        summary_N.nonspec_covs = np.concatenate([elongation_5prime, summary_N.nonspec_covs])
-        spec_nt_covs_dict = summary_N.spec_nt_covs_dict
-        for nt, spec_covs in spec_nt_covs_dict.items():
-            spec_nt_covs_dict[nt] = np.concatenate([elongation_5prime, spec_covs])
-        nonspec_nt_covs_dict = summary_N.nonspec_nt_covs_dict
-        for nt, nonspec_covs in nonspec_nt_covs_dict.items():
-            nonspec_nt_covs_dict[nt] = np.concatenate([elongation_5prime, nonspec_covs])
-
-        elongation_length = elongation_5prime.size
-        new_feature_dict = OrderedDict()
-        for feature, feature_index in summary_N.feature_dict.items():
-            try:
-                new_feature_dict[feature] = (feature_index[0] + elongation_length, feature_index[1] + elongation_length)
-            except TypeError:
-                # Missing features with an index of np.nan result in np.nan after addition.
-                try:
-                    new_feature_dict[feature] = feature_index + elongation_length
-                except TypeError:
-                    # `feature_index` is None rather than np.nan for a missing stem start index. For
-                    # convenience, replace it with np.nan.
-                    new_feature_dict[feature] = np.nan
-        summary_N.feature_dict = new_feature_dict
-        summary_N.feature_threshold_start + elongation_length
+        end, as normalized (and modified) sequences are aligned from the 3' end."""
+        norm_seq_summary.specific_covs = np.concatenate([fiveprime_extension, norm_seq_summary.specific_covs])
+        norm_seq_summary.nonspecific_covs = np.concatenate([fiveprime_extension, norm_seq_summary.nonspecific_covs])
 
 
     def form_seeds(self):
-        """Form tRNA seeds through comparison of sequences from the input samples.
-
-        Normalized sequences (N) are compared. These include N underlying modified sequences (M),
-        called Nm, and N that are not part of M, called Nu.
-
-        Modification-induced mutations (substitutions and indels) complicate seed formation. If N is
-        shared identically (not as a subsequence) between samples, then N from the samples and any M
-        that N are part of are combined into a single seed. The seed sequence is that of the longest
-        N and need not be found in every sample.
-
-        It is a heuristic to exactly match N, rather than to check whether one N is a 3' subsequence
-        of the other, or to instead compare underlying trimmed sequences making up N. This heuristic
-        should not distort sample merging for the more abundant tRNA species, in particular, as
-        these are most likely to be represented by reads spanning the full length of the tRNA,
-        producing the same N."""
-        pid = "Forming seed seqs from input samples"
-        self.progress.new(pid)
-
-        string_N_seed_dict = {}
+        """Form tRNA seed sequences through comparison of the input samples.
+
+        Seed sequences are formed through comparison of the samples' normalized sequences (both
+        unmodified normalized sequences and normalized sequences underlying modified sequences).
+        Seed sequences need not be found in every sample.
+
+        Modification-induced mutations complicate seed formation. (anvi-trnaseq is capable of
+        finding substitutions -- the main type of mutation -- and deletions, though insertions can
+        also occur but go undetected.) Modified sequences are derived from clusters of normalized
+        sequences; unmodified normalized sequences and the normalized sequences underlying modified
+        sequences are here compared between samples to find seeds. If a normalized sequence is
+        shared identically (not as a subsequence) between samples, then the normalized seed
+        sequences and any modified sequences that the normalized sequences are part of are combined
+        into a single seed sequence.
+
+        It is a heuristic to exactly match normalized sequences, rather than to check whether one
+        normalized sequence is a 3' subsequence of the other, or to instead compare underlying
+        trimmed sequences making up normalized sequences. This heuristic should not distort sample
+        merging for the more abundant tRNA species, in particular, as these are most likely to be
+        represented by reads spanning the full length of the tRNA, producing the same normalized
+        sequences."""
+        self.progress.new("Forming seed seqs from input samples")
+
+        norm_seq_string_seed_seq_dict = {}
         for trnaseq_db_num, trnaseq_db_path in enumerate(self.trnaseq_db_paths):
             sample_id = self.trnaseq_db_sample_ids[trnaseq_db_num]
-            self.progress.update_pid(pid)
             self.progress.update(f"Adding {sample_id}")
 
-            summaries_Nu = self.dict_summaries_Nu[trnaseq_db_path]
-            summaries_M = self.dict_summaries_M[trnaseq_db_path]
+            unmod_norm_seq_summaries = self.unmod_norm_seq_summaries_dict[trnaseq_db_path]
+            mod_seq_summaries = self.mod_seq_summaries_dict[trnaseq_db_path]
 
-            for summary_Nu in summaries_Nu:
-                # Process Nu.
-                string_Nu = summary_Nu.string
+            for norm_seq_summary in unmod_norm_seq_summaries:
+                # Process normalized sequences without any detected potential modifications.
+                norm_seq_string = norm_seq_summary.seq_string
                 try:
-                    # Nu has already been found in another dataset.
-                    seed = string_N_seed_dict[string_Nu]
+                    # The normalized sequence has already been found in another dataset.
+                    seed_seq = norm_seq_string_seed_seq_dict[norm_seq_string]
                 except KeyError:
-                    # Create a new seed based on Nu.
-                    seed = SeedSequence()
-                    seed.name = summary_Nu.name + '_' + sample_id
-                    seed.string = string_Nu
-                    seed.meets_feature_threshold = True if summary_Nu.feature_threshold_start >= 0 else False
-                    seed.summaries_Nu = [summary_Nu]
-                    seed.summaries_M = []
-                    string_N_seed_dict[string_Nu] = seed
+                    # Create a new seed sequence based on the normalized sequence.
+                    seed_seq = SeedSeq()
+                    seed_seq.name = norm_seq_summary.name + '_' + sample_id
+                    seed_seq.seq_string = norm_seq_string
+                    seed_seq.meets_feature_threshold = True if norm_seq_summary.feature_threshold_start >= 0 else False
+                    seed_seq.unmod_norm_seq_summaries = [norm_seq_summary]
+                    seed_seq.mod_seq_summaries = []
+                    norm_seq_string_seed_seq_dict[norm_seq_string] = seed_seq
                     continue
 
-                if len(string_Nu) < len(seed.string):
-                    # Nu is shorter than the existing seed. This implies that the seed was formed
-                    # from a longer M in another dataset. Extend Nu coverage arrays the needed
-                    # amount at the 5' end. (Note: It is impossible here for Nu to be longer than
-                    # the seed.)
-                    elongation_5prime = np.zeros(len(seed.string) - len(string_Nu), int)
-                    self.elongate_normalized_sequence_fiveprime(summary_Nu, elongation_5prime)
-                seed.summaries_Nu.append(summary_Nu)
-
-            for summary_M in summaries_M:
-                # Find seeds from other datasets containing any of Nb forming the M under
-                # consideration. If >1 seed is identified, they are merged.
-                seed_dict = {}
-                for summary_Nb in summary_M.summaries_Nb:
+                if len(norm_seq_string) < len(seed_seq.seq_string):
+                    # The normalized sequence string is shorter than the seed sequence string,
+                    # implying that the seed string is a longer modified sequence in another
+                    # dataset. Extend the normalized sequence coverage arrays the needed amount at
+                    # the 5' end. (Note: It is impossible here for the normalized sequence string to
+                    # be longer than the seed sequence string.)
+                    fiveprime_extension = np.zeros(len(seed_seq.seq_string) - len(norm_seq_string), int)
+                    self.extend_norm_seq_fiveprime_end(norm_seq_summary, fiveprime_extension)
+                seed_seq.unmod_norm_seq_summaries.append(norm_seq_summary)
+
+            for mod_seq_summary in mod_seq_summaries:
+                # Find seed sequences from other datasets containing any of the normalized sequences
+                # forming the modified sequence under consideration. If more than one seed sequence
+                # is identified, they are merged.
+                seed_seq_dict = {}
+                for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
                     try:
-                        # Nb is represented in another dataset.
-                        seed = string_N_seed_dict[summary_Nb.string]
+                        # The normalized sequence is represented in another dataset.
+                        seed_seq = norm_seq_string_seed_seq_dict[norm_seq_summary.seq_string]
                     except KeyError:
                         continue
-                    seed_dict[seed.name] = seed
-
-                if not seed_dict:
-                    # Create a new seed based on M.
-                    seed = SeedSequence()
-                    seed.name = summary_M.name + '_' + sample_id
-                    seed.string = summary_M.consensus_string
-                    seed.summaries_Nu = []
-                    seed.summaries_M = []
-                    seed.summaries_M.append(summary_M)
-                    for summary_Nb in summary_M.summaries_Nb:
-                        if summary_Nb.feature_threshold_start >= 0:
-                            seed.meets_feature_threshold = True
+                    seed_seq_dict[seed_seq.name] = seed_seq
+
+                if not seed_seq_dict:
+                    # Create a new seed sequence based on the modified sequence.
+                    seed_seq = SeedSeq()
+                    seed_seq.name = mod_seq_summary.name + '_' + sample_id
+                    seed_seq.seq_string = mod_seq_summary.consensus_seq_string
+                    seed_seq.unmod_norm_seq_summaries = []
+                    seed_seq.mod_seq_summaries = []
+                    seed_seq.mod_seq_summaries.append(mod_seq_summary)
+                    for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
+                        if norm_seq_summary.feature_threshold_start >= 0:
+                            seed_seq.meets_feature_threshold = True
                             break
                     else:
-                        seed.meets_feature_threshold = False
-                    for summary_Nb in summary_M.summaries_Nb:
-                        string_N_seed_dict[summary_Nb.string] = seed
+                        seed_seq.meets_feature_threshold = False
+                    for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
+                        norm_seq_string_seed_seq_dict[norm_seq_summary.seq_string] = seed_seq
                     continue
 
-                if len(seed_dict) == 1:
-                    # M shares ≥1 Nb with 1 seed.
-                    seed_name, seed = seed_dict.popitem()
-                    if len(summary_M.consensus_string) < len(seed.string):
-                        # M is shorter than the seed, so its coverage arrays must be extended with
+                if len(seed_seq_dict) == 1:
+                    # The modified sequence shares one or more normalized sequences with one seed sequence.
+                    seed_seq_name, seed_seq = seed_seq_dict.popitem()
+                    if len(mod_seq_summary.consensus_seq_string) < len(seed_seq.seq_string):
+                        # The modified sequence is shorter than the seed sequence, so its coverage
+                        # arrays must be extended with zeros at the 5' end.
+                        fiveprime_extension = np.zeros(len(seed_seq.seq_string) - len(mod_seq_summary.consensus_seq_string), int)
+                        self.extend_mod_seq_fiveprime_end(mod_seq_summary, fiveprime_extension)
+                        for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
+                            self.extend_norm_seq_fiveprime_end(norm_seq_summary, fiveprime_extension)
+                    elif len(mod_seq_summary.consensus_seq_string) > len(seed_seq.seq_string):
+                        # The modified sequence is longer than the seed sequence, so the coverage
+                        # arrays of the sequences forming the seed sequence must be extended with
                         # zeros at the 5' end.
-                        elongation_5prime = np.zeros(len(seed.string) - len(summary_M.consensus_string), int)
-                        self.elongate_modified_sequence_fiveprime(summary_M, elongation_5prime)
-                    elif len(summary_M.consensus_string) > len(seed.string):
-                        # M is longer than the seed, so the coverage arrays of N forming the seed
-                        # must be extended with zeros at the 5' end.
-                        elongation_5prime = np.zeros(len(summary_M.consensus_string) - len(seed.string), int)
-                        for summary_Nu in seed.summaries_Nu:
-                            self.elongate_normalized_sequence_fiveprime(summary_Nu, elongation_5prime)
-                        for other_summary_M in seed.summaries_M:
-                            self.elongate_modified_sequence_fiveprime(other_summary_M, elongation_5prime)
-                        seed.name = summary_M.name + '_' + sample_id
-                        seed.string = summary_M.consensus_string
-                        for summary_Nb in summary_M.summaries_Nb:
-                            if summary_Nb.feature_threshold_start >= 0:
-                                seed.meets_feature_threshold = True
+                        fiveprime_extension = np.zeros(len(mod_seq_summary.consensus_seq_string) - len(seed_seq.seq_string), int)
+                        for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
+                            self.extend_norm_seq_fiveprime_end(norm_seq_summary, fiveprime_extension)
+                        for other_mod_seq_summary in seed_seq.mod_seq_summaries:
+                            self.extend_mod_seq_fiveprime_end(other_mod_seq_summary, fiveprime_extension)
+                        seed_seq.name = mod_seq_summary.name + '_' + sample_id
+                        seed_seq.seq_string = mod_seq_summary.consensus_seq_string
+                        for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
+                            if norm_seq_summary.feature_threshold_start >= 0:
+                                seed_seq.meets_feature_threshold = True
                                 break
                         else:
-                            seed.meets_feature_threshold = False
-                    seed.summaries_M.append(summary_M)
-                    for summary_Nb in summary_M.summaries_Nb:
-                        string_N_seed_dict[summary_Nb.string] = seed
+                            seed_seq.meets_feature_threshold = False
+                    seed_seq.mod_seq_summaries.append(mod_seq_summary)
+                    for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
+                        norm_seq_string_seed_seq_dict[norm_seq_summary.seq_string] = seed_seq
                     continue
 
-                # To reach this point, M must map to >1 seed.
-                sorted_seeds = sorted([seed for seed in seed_dict.values()], key=lambda seed: -len(seed.string))
-                max_seed_length = len(sorted_seeds[0].string)
-                length_M = len(summary_M.consensus_string)
-                if length_M < max_seed_length:
-                    # Extend coverage arrays of M.
-                    elongation_5prime = np.zeros(max_seed_length - length_M, int)
-                    self.elongate_modified_sequence_fiveprime(summary_M, elongation_5prime)
-
-                    # Extend coverage arrays of shorter seeds now grouped with a longer seed.
-                    for seed in seed_dict.values():
-                        if len(seed.string) < max_seed_length:
-                            elongation_5prime = np.zeros(max_seed_length - len(seed.string), int)
-                            for summary_Nu in seed.summaries_Nu:
-                                self.elongate_normalized_sequence_fiveprime(summary_Nu, elongation_5prime)
-                            for other_summary_M in seed.summaries_M:
-                                self.elongate_modified_sequence_fiveprime(other_summary_M, elongation_5prime)
-
-                    new_seed = SeedSequence()
-                    longest_seed = sorted_seeds[0]
-                    new_seed.name = longest_seed.name
-                    new_seed.string = longest_seed.string
-                    new_seed.meets_feature_threshold = longest_seed.meets_feature_threshold
-                elif length_M > max_seed_length:
-                    # Extend coverage arrays of seeds.
-                    for seed in seed_dict.values():
-                        elongation_5prime = np.zeros(length_M - len(seed.string), int)
-                        for summary_Nu in seed.summaries_Nu:
-                            self.elongate_normalized_sequence_fiveprime(summary_Nu, elongation_5prime)
-                        for other_summary_M in seed.summaries_M:
-                            self.elongate_modified_sequence_fiveprime(other_summary_M, elongation_5prime)
-
-                    new_seed = SeedSequence()
-                    new_seed.name = summary_M.name + '_' + sample_id
-                    new_seed.string = summary_M.consensus_string
-                    for seed in seed_dict.values():
-                        if seed.meets_feature_threshold:
-                            new_seed.meets_feature_threshold = True
+                # To reach this point, the modified sequence must map to more than one seed
+                # sequence.
+                sorted_seed_seqs = sorted([seed_seq for seed_seq in seed_seq_dict.values()],
+                                          key=lambda seed_seq: -len(seed_seq.seq_string))
+                max_seed_seq_length = len(sorted_seed_seqs[0].seq_string)
+                mod_seq_length = len(mod_seq_summary.consensus_seq_string)
+                if mod_seq_length < max_seed_seq_length:
+                    # Extend coverage arrays of the modified sequence.
+                    fiveprime_extension = np.zeros(max_seed_seq_length - mod_seq_length, int)
+                    self.extend_mod_seq_fiveprime_end(mod_seq_summary, fiveprime_extension)
+
+                    # Extend coverage arrays of shorter seed sequences now grouped with a longer
+                    # seed sequence.
+                    for seed_seq in seed_seq_dict.values():
+                        if len(seed_seq.seq_string) < max_seed_seq_length:
+                            fiveprime_extension = np.zeros(max_seed_seq_length - len(seed_seq.seq_string), int)
+                            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
+                                self.extend_norm_seq_fiveprime_end(norm_seq_summary, fiveprime_extension)
+                            for other_mod_seq_summary in seed_seq.mod_seq_summaries:
+                                self.extend_mod_seq_fiveprime_end(other_mod_seq_summary, fiveprime_extension)
+
+                    new_seed_seq = SeedSeq()
+                    longest_seed_seq = sorted_seed_seqs[0]
+                    new_seed_seq.name = longest_seed_seq.name
+                    new_seed_seq.seq_string = longest_seed_seq.seq_string
+                    new_seed_seq.meets_feature_threshold = longest_seed_seq.meets_feature_threshold
+                elif mod_seq_length > max_seed_seq_length:
+                    # Extend coverage arrays of seed sequences.
+                    for seed_seq in seed_seq_dict.values():
+                        fiveprime_extension = np.zeros(mod_seq_length - len(seed_seq.seq_string), int)
+                        for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
+                            self.extend_norm_seq_fiveprime_end(norm_seq_summary, fiveprime_extension)
+                        for other_mod_seq_summary in seed_seq.mod_seq_summaries:
+                            self.extend_mod_seq_fiveprime_end(other_mod_seq_summary, fiveprime_extension)
+
+                    new_seed_seq = SeedSeq()
+                    new_seed_seq.name = mod_seq_summary.name + '_' + sample_id
+                    new_seed_seq.seq_string = mod_seq_summary.consensus_seq_string
+                    for seed_seq in seed_seq_dict.values():
+                        if seed_seq.meets_feature_threshold:
+                            new_seed_seq.meets_feature_threshold = True
                             break
                     else:
-                        for summary_Nb in summary_M.summaries_Nb:
-                            if summary_Nb.feature_threshold_start >= 0:
-                                new_seed.meets_feature_threshold = True
+                        for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
+                            if norm_seq_summary.feature_threshold_start >= 0:
+                                new_seed_seq.meets_feature_threshold = True
                                 break
                         else:
-                            new_seed.meets_feature_threshold = False
+                            new_seed_seq.meets_feature_threshold = False
                 else:
-                    # M is the same length as the longest seed. Extend coverage arrays of shorter
-                    # seeds now grouped with a longer seed.
-                    for seed in seed_dict.values():
-                        if len(seed.string) < max_seed_length:
-                            elongation_5prime = np.zeros(max_seed_length - len(seed.string), int)
-                            for summary_Nu in seed.summaries_Nu:
-                                self.elongate_normalized_sequence_fiveprime(summary_Nu, elongation_5prime)
-                            for other_summary_M in seed.summaries_M:
-                                self.elongate_modified_sequence_fiveprime(other_summary_M, elongation_5prime)
-
-                    new_seed = SeedSequence()
-                    new_seed.name = summary_M.name + '_' + sample_id
-                    new_seed.string = summary_M.consensus_string
-                    if sorted_seeds[0].meets_feature_threshold:
-                        new_seed.meets_feature_threshold = True
+                    # The modified sequence is the same length as the longest seed sequence. Extend
+                    # coverage arrays of shorter seed sequences now grouped with a longer seed
+                    # sequence.
+                    for seed_seq in seed_seq_dict.values():
+                        if len(seed_seq.seq_string) < max_seed_seq_length:
+                            fiveprime_extension = np.zeros(max_seed_seq_length - len(seed_seq.seq_string), int)
+                            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
+                                self.extend_norm_seq_fiveprime_end(norm_seq_summary, fiveprime_extension)
+                            for other_mod_seq_summary in seed_seq.mod_seq_summaries:
+                                self.extend_mod_seq_fiveprime_end(other_mod_seq_summary, fiveprime_extension)
+
+                    new_seed_seq = SeedSeq()
+                    new_seed_seq.name = mod_seq_summary.name + '_' + sample_id
+                    new_seed_seq.seq_string = mod_seq_summary.consensus_seq_string
+                    if sorted_seed_seqs[0].meets_feature_threshold:
+                        new_seed_seq.meets_feature_threshold = True
                     else:
-                        for summary_Nb in summary_M.summaries_Nb:
-                            if summary_Nb.feature_threshold_start >= 0:
-                                new_seed.meets_feature_threshold = True
+                        for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
+                            if norm_seq_summary.feature_threshold_start >= 0:
+                                new_seed_seq.meets_feature_threshold = True
                                 break
                         else:
-                            new_seed.meets_feature_threshold = False
-
-                # Now that all of the coverage arrays are reconciled in length, M and constituent N
-                # of the matching seeds can be added to the new seed.
-                new_seed.summaries_Nu = []
-                new_seed.summaries_M = []
-                for seed in seed_dict.values():
-                    new_seed.summaries_Nu += seed.summaries_Nu
-                    new_seed.summaries_M += seed.summaries_M
-                new_seed.summaries_M.append(summary_M)
-
-                for summary_Nu in new_seed.summaries_Nu:
-                    string_N_seed_dict[summary_Nu.string] = new_seed
-                for summary_M in new_seed.summaries_M:
-                    for summary_Nb in summary_M.summaries_Nb:
-                        string_N_seed_dict[summary_Nb.string] = new_seed
+                            new_seed_seq.meets_feature_threshold = False
+
+                # Now that all of the coverage arrays are reconciled in length, the modified
+                # sequence query and constituent sequences of the matching seeds can be added to the
+                # new seed.
+                new_seed_seq.unmod_norm_seq_summaries = []
+                new_seed_seq.mod_seq_summaries = []
+                for seed_seq in seed_seq_dict.values():
+                    new_seed_seq.unmod_norm_seq_summaries += seed_seq.unmod_norm_seq_summaries
+                    new_seed_seq.mod_seq_summaries += seed_seq.mod_seq_summaries
+                new_seed_seq.mod_seq_summaries.append(mod_seq_summary)
+
+                for norm_seq_summary in new_seed_seq.unmod_norm_seq_summaries:
+                    norm_seq_string_seed_seq_dict[norm_seq_summary.seq_string] = new_seed_seq
+                for mod_seq_summary in new_seed_seq.mod_seq_summaries:
+                    for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
+                        norm_seq_string_seed_seq_dict[norm_seq_summary.seq_string] = new_seed_seq
+
+        self.progress.update("Finalizing seeds")
 
-        self.progress.update_pid(pid)
-        self.progress.update("...")
         # The seed references in the dict need to be dereplicated.
-        seeds = list({seed.name: seed for seed in string_N_seed_dict.values()}.values())
-
-        # Disregard seeds that do not reach the 5' feature threshold.
-        seeds = [seed for seed in seeds if seed.meets_feature_threshold]
-
-        self.progress.update_pid(pid)
-        self.progress.update("Checking feature profiles")
-        # Reads with extra 5' nts beyond the acceptor stem sometimes generate false positive tRNA
-        # feature profiles. These erroneous profiles shoehorn the 5' extra nts into the profile
-        # through nt accommodation in variable-length sections of the profile, such as the D loop.
-        # Make sure there are no N shorter than the seed sequence that have a full-length profile.
-
-        # The algorithm requires seq summaries sorted in descending order of seq length.
-        for seed in seeds:
-            seed.summaries_Nu = sorted([summary_Nu for summary_Nu in seed.summaries_Nu],
-                                       key=lambda summary_Nu: -len(summary_Nu.string))
-            seed.summaries_M = sorted([summary_M for summary_M in seed.summaries_M],
-                                      key=lambda summary_M: -len(summary_M.consensus_string))
-            for summary_M in seed.summaries_M:
-                summary_M.summaries_Nb = sorted([summary_Nb for summary_Nb in summary_M.summaries_Nb],
-                                                key=lambda summary_Nb: -len(summary_Nb.string))
-
-        names_seeds_with_conflict = set()
-        seed_indices_below_feature_threshold = []
-        for seed_index, seed in enumerate(seeds):
-            while True:
-                # Remove the longest N (Nu or Nb) with inconsistent full-length profiles until only
-                # N with consistent full-length profiles remain. Exit the while loop at that point.
-                seed_length = len(seed.string)
-                longest_Nu_indices = []
-                longest_Nb_indices = []
-                # Get the feature profile of the first N with the same seq as the seed plus a
-                # full-length profile.
-                seed_features = None
-                # The following variable is used for a specific circumstance. Nu are searched before
-                # M. An Nu the same length as the seed with a full-length profile may not be found
-                # while a shorter Nu with a full-length profile is found, apparently a conflict.
-                # However, an M the same length as the seed with a full-length profile and a
-                # tRNA-His 5'-G can subsequently explain the full-length profile of the shorter Nu.
-                check_His_G = False
-                # Search for a conflict between the full-length profile of a shorter seq and the
-                # seed profile.
-                found_conflict = False
-
-                for index_Nu, summary_Nu in enumerate(seed.summaries_Nu):
-                    if len(summary_Nu.string) == seed_length:
-                        longest_Nu_indices.append(index_Nu)
-                        if seed_features:
-                            # Only record the first qualifying profile.
-                            pass
-                        elif summary_Nu.feature_dict['fiveprime_acceptor_stem_sequence_start'] >= -10:
-                            # Extrapolated acceptor stems, e.g., with starts of -1, can be
-                            # discredited.
-                            seed_features = tuple(summary_Nu.feature_dict.values())
-                        else:
-                            # The seed does not have a full-length profile, so stop looking.
-                            break
-                    elif summary_Nu.feature_dict['fiveprime_acceptor_stem_sequence_start'] >= 0:
-                        # A shorter N than the seed was assigned a full-length profile. This
-                        # indicates a conflict (with one exception involving tRNA-His 5'-G), and the
-                        # longest N will be removed from the seed.
-                        if seed_features:
-                            if seed_features[0] == 0:
-                                if (summary_Nu.feature_dict['fiveprime_acceptor_stem_sequence_start'] == 1
-                                    and ANTICODON_AA_DICT[summary_Nu.anticodon_string] == 'His'):
-                                    # The longest N was also assigned a full-length profile and only
-                                    # differs from the shorter profile by a 5'-G at the end of
-                                    # tRNA-His, so a conflict was not found.
-                                    break
-                        if (not seed_features
-                            and summary_Nu.feature_dict['fiveprime_acceptor_stem_sequence_start'] == 1
-                            and ANTICODON_AA_DICT[summary_Nu.anticodon_string] == 'His'):
-                            check_His_G = True
-                        found_conflict = True
-                        break
-
-                for index_M, summary_M in enumerate(seed.summaries_M):
-                    if len(summary_M.consensus_string) == seed_length:
-                        for index_Nb, summary_Nb in enumerate(summary_M.summaries_Nb):
-                            # Each M consists of Nb which may be of varying lengths.
-                            if len(summary_Nb.string) == seed_length:
-                                longest_Nb_indices.append((index_M, index_Nb))
-                                if seed_features:
-                                    pass
-                                if summary_Nb.feature_dict['fiveprime_acceptor_stem_sequence_start'] >= -10:
-                                    seed_features = tuple(summary_Nb.feature_dict.values())
-                                    if check_His_G:
-                                        if seed_features[0] == 0:
-                                            found_conflict = False
-                                else:
-                                    # The seed does not have a full-length profile, so stop
-                                    # searching M.
-                                    break
-                        else:
-                            continue
-                        # To reach this point, it was found that the seed does not have a
-                        # full-length profile, so stop searching.
-                        break
-                    else:
-                        for summary_Nb in summary_M.summaries_Nb:
-                            if summary_Nb.feature_dict['fiveprime_acceptor_stem_sequence_start'] >= 0:
-                                if seed_features:
-                                    if seed_features[0] == 0:
-                                        if (summary_Nb.feature_dict['fiveprime_acceptor_stem_sequence_start'] == 1
-                                            and ANTICODON_AA_DICT[summary_Nb.anticodon_string] == 'His'):
-                                            break
-                                found_conflict = True
-                                break
-
-                if not found_conflict:
-                    try:
-                        max_length_Nu = len(seed.summaries_Nu[0].string)
-                    except IndexError:
-                        max_length_Nu = 0
-                    try:
-                        max_length_M = len(seed.summaries_M[0].consensus_string)
-                    except IndexError:
-                        max_length_M = 0
-                    if not max_length_Nu:
-                        selected_summary = seed.summaries_M[0].summaries_Nb[0]
-                    elif not max_length_M:
-                        selected_summary = seed.summaries_Nu[0]
-                    else:
-                        if max_length_Nu >= max_length_M:
-                            selected_summary = seed.summaries_Nu[0]
-                        else:
-                            selected_summary = seed.summaries_M[0].summaries_Nb[0]
-                    seed.feature_dict = selected_summary.feature_dict
-
-                    if selected_summary.feature_threshold_start < 0:
-                        seed.meets_feature_threshold = False
-                        seed_indices_below_feature_threshold.append(seed_index)
-                    break
-                names_seeds_with_conflict.add(seed.name)
-
-                # Remove the longest Nu from the seed.
-                for longest_Nu_index in longest_Nu_indices[::-1]:
-                    seed.summaries_Nu.pop(longest_Nu_index)
-
-                altered_M_indices = set()
-                for longest_Nb_index in longest_Nb_indices[::-1]:
-                    seed.summaries_M[longest_Nb_index[0]].summaries_Nb.pop(longest_Nb_index[1])
-                altered_M_indices = set([longest_Nb_index[0] for longest_Nb_index in longest_Nb_indices])
-
-                # If all Nb are removed from an M, then remove M from the seed.
-                altered_M_summaries = []
-                if longest_Nb_indices:
-                    empty_M_indices = []
-                    for index_M, summary_M in enumerate(seed.summaries_M):
-                        if not summary_M.summaries_Nb:
-                            empty_M_indices.append(index_M)
-                        elif index_M in altered_M_indices:
-                            altered_M_summaries.append(summary_M)
-                    for empty_M_index in empty_M_indices[::-1]:
-                        seed.summaries_M.pop(empty_M_index)
-
-                # Find the new length of the seed.
-                max_length_Nu = 0
-                if seed.summaries_Nu:
-                    max_length_Nu = len(seed.summaries_Nu[0].string)
-                max_length_M = 0
-                for summary_M in seed.summaries_M:
-                    length_M = len(summary_M.summaries_Nb[0].string)
-                    if length_M > max_length_M:
-                        max_length_M = length_M
-                new_seed_length = max(max_length_Nu, max_length_M)
-                seed_length_diff = seed_length - new_seed_length
-
-                # Adjust the following attributes of Nu, M, and Nb summary objects that depend upon
-                # seed length: coverage array lengths, feature indices, threshold feature start,
-                # indel information (some indels may now be removed from M).
-                for summary_Nu in seed.summaries_Nu:
-                    self.shorten_normalized_sequence_fiveprime(summary_Nu, seed_length_diff)
-
-                for summary_M in seed.summaries_M:
-                    self.shorten_modified_sequence_fiveprime(summary_M, seed_length_diff)
-
-                if max_length_Nu >= max_length_M:
-                    seed.string = seed.summaries_Nu[0].string
-                    selected_summary = seed.summaries_Nu[0]
-                else:
-                    seed.string = seed.summaries_M[0].consensus_string
-                    selected_summary = seed.summaries_M[0].summaries_Nb[0]
-                seed.feature_dict = selected_summary.feature_dict
-        for seed_index in seed_indices_below_feature_threshold[::-1]:
-            seeds.pop(seed_index)
-
-
-        self.progress.update_pid(pid)
-        self.progress.update("Assigning anticodons")
-        # Assign the anticodon by comparing the mean specific coverage of N comprising the seed, a
-        # simpler approximation of extracting the anticodon coverage from each N.
-        for seed in seeds:
-            if not seed.summaries_M:
-                # The seed is comprised entirely of Nu without unlike nts.
-                seed.anticodon_string = seed.summaries_Nu[0].anticodon_string
-                continue
-
-            anticodon_cov_dict = defaultdict(int)
-            for summary_Nu in seed.summaries_Nu:
-                # Mean specific coverage does not include any 5' padding of zero coverage from the
-                # formation of the seed.
-                anticodon_cov_dict[summary_Nu.anticodon_string] += summary_Nu.mean_spec_cov
-            for summary_M in seed.summaries_M:
-                for summary_Nb in summary_M.summaries_Nb:
-                    anticodon_cov_dict[summary_Nb.anticodon_string] += summary_Nb.mean_spec_cov
+        seed_seqs = list({seed_seq.name: seed_seq for seed_seq in norm_seq_string_seed_seq_dict.values()}.values())
 
-            seed.anticodon_string = sorted(anticodon_cov_dict.items(), key=lambda anticodon_item: -anticodon_item[1])[0][0]
-        seeds = [seed for seed in seeds if seed.anticodon_string]
+        # Disregard seed sequences that do not reach the 5' feature threshold.
+        seed_seqs = [seed_seq for seed_seq in seed_seqs if seed_seq.meets_feature_threshold]
+        self.set_anticodon(seed_seqs)
+        seed_seqs = [seed_seq for seed_seq in seed_seqs if seed_seq.anticodon_seq_string]
 
-
-        self.progress.update_pid(pid)
-        self.progress.update("Calculating coverages")
-        self.sample_total_mean_spec_cov_dict = sample_total_mean_spec_cov_dict = defaultdict(int)
-        self.sample_total_discriminator_spec_cov_dict = sample_total_discriminator_spec_cov_dict = defaultdict(int)
-        for seed in seeds:
-            # Find specific coverages of M by summing specific coverages of nts.
-            for summary_M in seed.summaries_M:
-                summary_M.spec_covs = np.array([covs for covs in summary_M.spec_nt_covs_dict.values()]).sum(axis=0)
-
-            # Sum specific coverages from each seq comprising a seed. Calculate the mean specific
-            # coverage of the seed.
-            seed.total_spec_covs = np.zeros(len(seed.string), int)
-            for summary_Nu in seed.summaries_Nu:
-                seed.total_spec_covs += summary_Nu.spec_covs
-                sample_total_mean_spec_cov_dict[summary_Nu.sample_id] += summary_Nu.mean_spec_cov
-                sample_total_discriminator_spec_cov_dict[summary_Nu.sample_id] += summary_Nu.spec_covs[-1]
-            for summary_M in seed.summaries_M:
-                seed.total_spec_covs += summary_M.spec_covs
-                sample_total_mean_spec_cov_dict[summary_M.sample_id] += summary_M.spec_covs.mean()
-                sample_total_discriminator_spec_cov_dict[summary_M.sample_id] += summary_M.spec_covs[-1]
-
-            seed.total_mean_spec_cov = seed.total_spec_covs.mean()
+        # Find specific coverages of modified sequences from specific coverages of nucleotides.
+        self.sum_specific_nt_covs(seed_seqs)
         # Select the top seeds by specific coverage.
-        seeds = sorted(seeds, key=lambda seed: -seed.total_mean_spec_cov)[: self.seed_limit]
-
-
-        for seed in seeds:
-            # Find nonspecific coverages of M by summing nonspecific coverage of nts.
-            for summary_M in seed.summaries_M:
-                summary_M.nonspec_covs = np.array([covs for covs in summary_M.nonspec_nt_covs_dict.values()]).sum(axis=0)
-
-            # Sum nonspecific coverages from each seq comprising a seed. Calculate the mean
-            # nonspecific coverage of the seed.
-            seed.total_nonspec_covs = np.zeros(len(seed.string), int)
-            for summary_Nu in seed.summaries_Nu:
-                seed.total_nonspec_covs += summary_Nu.nonspec_covs
-            for summary_M in seed.summaries_M:
-                nonspec_nt_covs = np.array([covs for covs in summary_M.nonspec_nt_covs_dict.values()])
-                seed.total_nonspec_covs += nonspec_nt_covs.sum(axis=0)
-
-            seed.total_mean_nonspec_cov = seed.total_nonspec_covs.mean()
-
-
-        # The consensus sequence of a seed consists of the nts with the maximum specific coverage
-        # summed across constituent sequences. When certain tRNA-seq treatments are preferred (e.g.,
-        # demethylase), the chosen nts at substitution sites are on the basis of seqs from preferred
-        # samples.
-        for seed in seeds:
-            if not seed.summaries_M:
-                # The seed is comprised entirely of Nu, which must be subsequences of one another,
-                # so there is no variation in nt composition at any position. The sequence string
-                # was already assigned and does not need to be altered.
-                continue
-
-            total_nt_cov_dict = {nt: np.zeros(len(seed.string), int) for nt in UNAMBIG_NTS}
-            for summary_Nu in seed.summaries_Nu:
-                for nt in UNAMBIG_NTS:
-                    total_nt_cov_dict[nt] += summary_Nu.spec_nt_covs_dict[nt]
-            for summary_M in seed.summaries_M:
-                for nt in UNAMBIG_NTS:
-                    total_nt_cov_dict[nt] += summary_M.spec_nt_covs_dict[nt]
+        self.set_total_specific_covs(seed_seqs)
+        seed_seqs = sorted(seed_seqs, key=lambda seed_seq: -seed_seq.total_mean_specific_cov)[: self.seed_seq_limit]
 
-            seed.string = ''.join([INT_NT_DICT[i + 1] for i in np.argmax(np.array([total_nt_cov_dict[nt] for nt in UNAMBIG_NTS]), axis=0)])
+        self.set_nt_covs(seed_seqs)
+        self.sum_nonspecific_nt_covs(seed_seqs)
+        self.set_total_nonspecific_covs(seed_seqs)
+        self.set_consensus_seq_string(seed_seqs)
+        self.set_gc_fraction(seed_seqs)
 
-            # Set GC fraction of the seed.
-            seed.gc_fraction = sum([1 for nt in seed.string if nt == 'C' or nt == 'G']) / len(seed.string)
-        self.seeds = seeds
-        self.total_seed_length = sum([len(seed.string) for seed in seeds])
+        self.seed_seqs = seed_seqs
+        self.total_seed_length = sum([len(seed_seq.seq_string) for seed_seq in seed_seqs])
 
         self.set_sample_covs()
-        self.progress.update_pid(pid)
-        self.progress.update("Setting mod-induced substitutions")
-        self.set_substitutions()
-        self.progress.update_pid(pid)
-        self.progress.update("Setting mod-induced indels")
+        self.set_mods()
+        self.set_consensus_mod_nts()
+
         self.set_sample_indels()
 
         self.progress.end()
-        self.run.info("Candidate seeds with feature conflicts", len(names_seeds_with_conflict), nl_before=1, nl_after=1)
 
 
-    def elongate_modified_sequence_fiveprime(self, summary_M, elongation_5prime):
+    def extend_mod_seq_fiveprime_end(self, mod_seq_summary, fiveprime_extension):
         """Seed sequences can be longer than the normalized sequences from the individual samples,
         requiring addition of empty positions in the normalized sequence coverage arrays at the 5'
         end, as normalized (and modified) sequences are aligned from the 3' end."""
-        for summary_Nb in summary_M.summaries_Nb:
-            self.elongate_normalized_sequence_fiveprime(summary_Nb, elongation_5prime)
-
-        elongation_length = elongation_5prime.size
         # The positions of substitutions are recorded in the seed sequence index.
-        summary_M.sub_positions += elongation_length
+        length_5prime_extension = fiveprime_extension.size
+        mod_seq_summary.sub_positions += length_5prime_extension
         for nt in UNAMBIG_NTS:
-            summary_M.spec_nt_covs_dict[nt] = np.concatenate([elongation_5prime, summary_M.spec_nt_covs_dict[nt]])
-            summary_M.nonspec_nt_covs_dict[nt] = np.concatenate([elongation_5prime, summary_M.nonspec_nt_covs_dict[nt]])
-        summary_M.insert_starts += elongation_length
-        summary_M.del_starts += elongation_length
+            mod_seq_summary.specific_nt_covs_dict[nt] = np.concatenate([fiveprime_extension, mod_seq_summary.specific_nt_covs_dict[nt]])
+            mod_seq_summary.nonspecific_nt_covs_dict[nt] = np.concatenate([fiveprime_extension, mod_seq_summary.nonspecific_nt_covs_dict[nt]])
+        mod_seq_summary.insert_starts = [start + length_5prime_extension for start in mod_seq_summary.insert_starts]
+        mod_seq_summary.del_starts = [start + length_5prime_extension for start in mod_seq_summary.del_starts]
+
+
+    def set_anticodon(self, seed_seqs):
+        """Assign the anticodon by comparing the mean specific coverage of the normalized sequences
+        comprising the seed (a simpler, approximate substitute for extracting the anticodon coverage
+        from each normalized sequence). This method is called by `DatabaseConverter.process` after
+        sequences from input tRNA-seq databases have been assigned to seeds."""
+        for seed_seq in seed_seqs:
+            if not seed_seq.mod_seq_summaries:
+                # The seed is comprised entirely of identical unmodified normalized sequences.
+                seed_seq.anticodon_seq_string = seed_seq.unmod_norm_seq_summaries[0].anticodon_seq_string
+                continue
 
+            anticodon_cov_dict = defaultdict(int)
+            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
+                # Mean specific coverage does not include any 5' padding of zero coverage from the
+                # formation of the seed sequence.
+                anticodon_cov_dict[norm_seq_summary.anticodon_seq_string] += norm_seq_summary.mean_specific_cov
+            for mod_seq_summary in seed_seq.mod_seq_summaries:
+                for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
+                    anticodon_cov_dict[norm_seq_summary.anticodon_seq_string] += norm_seq_summary.mean_specific_cov
+
+            seed_seq.anticodon_seq_string = sorted(anticodon_cov_dict.items(), key=lambda t: -t[1])[0][0]
+
+
+    def sum_specific_nt_covs(self, seed_seqs):
+        """Coverages of the 4 nucleotides are maintained in the tRNA-seq database for modified
+        sequences, since modified sequences have nucleotide variability, so this method is used to
+        calculate overall specific coverages."""
+        for seed_seq in seed_seqs:
+            for mod_seq_summary in seed_seq.mod_seq_summaries:
+                mod_seq_summary.specific_covs = np.array([covs for covs in mod_seq_summary.specific_nt_covs_dict.values()]).sum(axis=0)
+
+
+    def set_total_specific_covs(self, seed_seqs):
+        """Sum specific coverages from each sequence comprising the seed sequence, and also
+        calculate the mean thereof."""
+        for seed_seq in seed_seqs:
+            seed_seq.total_specific_covs = np.zeros(len(seed_seq.seq_string), int)
+            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
+                seed_seq.total_specific_covs += norm_seq_summary.specific_covs
+            for mod_seq_summary in seed_seq.mod_seq_summaries:
+                seed_seq.total_specific_covs += mod_seq_summary.specific_covs
+
+            seed_seq.total_mean_specific_cov = seed_seq.total_specific_covs.mean()
+
+
+    def set_nt_covs(self, seed_seqs):
+        """Make separate coverage arrays for A, C, G and T, which are needed in seed sequence formation."""
+        for seed_seq in seed_seqs:
+            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
+                norm_seq_summary.specific_nt_covs_dict = {nt: np.zeros(norm_seq_summary.specific_covs.size, int) for nt in UNAMBIG_NTS}
+                norm_seq_summary.nonspecific_nt_covs_dict = {nt: np.zeros(norm_seq_summary.nonspecific_covs.size, int) for nt in UNAMBIG_NTS}
+                start_pos = norm_seq_summary.specific_covs.size - len(norm_seq_summary.seq_string)
+                pos = start_pos
+                for nt, specific_cov, nonspecific_cov in zip(norm_seq_summary.seq_string,
+                                                             norm_seq_summary.specific_covs[start_pos: ],
+                                                             norm_seq_summary.nonspecific_covs[start_pos: ]):
+                    norm_seq_summary.specific_nt_covs_dict[nt][pos] = specific_cov
+                    norm_seq_summary.nonspecific_nt_covs_dict[nt][pos] = nonspecific_cov
+                    pos += 1
+
+
+    def sum_nonspecific_nt_covs(self, seed_seqs):
+        """Coverages of the 4 nucleotides are maintained in the tRNA-seq database for modified
+        sequences, since modified sequences have nucleotide variability, so this method is used to
+        calculate overall nonspecific coverages."""
+        for seed_seq in seed_seqs:
+            for mod_seq_summary in seed_seq.mod_seq_summaries:
+                mod_seq_summary.nonspecific_covs = np.array([covs for covs in mod_seq_summary.nonspecific_nt_covs_dict.values()]).sum(axis=0)
+
+
+    def set_total_nonspecific_covs(self, seed_seqs):
+        """Sum nonspecific coverages from each sequence forming the seed sequence, and also
+        calculate the mean thereof."""
+        for seed_seq in seed_seqs:
+            seed_seq.total_nonspecific_covs = np.zeros(len(seed_seq.seq_string), int)
+            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
+                seed_seq.total_nonspecific_covs += norm_seq_summary.nonspecific_covs
+            for mod_seq_summary in seed_seq.mod_seq_summaries:
+                nonspecific_nt_covs = np.array([covs for covs in mod_seq_summary.nonspecific_nt_covs_dict.values()])
+                seed_seq.total_nonspecific_covs += nonspecific_nt_covs.sum(axis=0)
+
+            seed_seq.total_mean_nonspecific_cov = seed_seq.total_nonspecific_covs.mean()
+
+
+    def set_consensus_seq_string(self, seed_seqs):
+        """The consensus sequence for the seed consists of the nucleotides with the maximum specific
+        coverage summed across constituent sequences. When certain tRNA-seq treatments are preferred
+        (e.g., demethylase), nucleotides with predicted modifications are called on the basis of
+        sequences from preferred samples."""
+        for seed_seq in seed_seqs:
+            if not seed_seq.mod_seq_summaries:
+                # The seed is composed entirely of identical unmodified normalized sequences.
+                return
 
-    def shorten_normalized_sequence_fiveprime(self, summary_N, reduction_5prime):
-        """Remove some 5' nucleotides from the normalized sequence and recompute certain
-        attributes."""
-        new_feature_dict = {}
-        for feature, feature_index in summary_N.feature_dict.items():
-            try:
-                new_feature_dict[feature] = feature_index - reduction_5prime
-            except TypeError:
-                new_feature_dict[feature] = (feature_index[0] - reduction_5prime, feature_index[1] - reduction_5prime)
-        summary_N.feature_dict = new_feature_dict
-        summary_N.feature_threshold_start -= reduction_5prime
-
-        summary_N.spec_covs = summary_N.spec_covs[reduction_5prime: ]
-        summary_N.nonspec_covs = summary_N.nonspec_covs[reduction_5prime: ]
-
-        spec_nt_covs_dict = summary_N.spec_nt_covs_dict
-        for nt, spec_covs in summary_N.spec_nt_covs_dict.items():
-            spec_nt_covs_dict[nt] = spec_covs[reduction_5prime: ]
-        nonspec_nt_covs_dict = summary_N.nonspec_nt_covs_dict
-        for nt, spec_covs in summary_N.nonspec_nt_covs_dict.items():
-            nonspec_nt_covs_dict[nt] = spec_covs[reduction_5prime: ]
-
-
-    def shorten_modified_sequence_fiveprime(self, summary_M, reduction_5prime):
-        """Remove some 5' nucleotides from the modified sequence and recompute certain
-        attributes."""
-        for summary_Nb in summary_M.summaries_Nb:
-            self.shorten_normalized_sequence_fiveprime(summary_Nb, reduction_5prime)
-
-        sub_positions = summary_M.sub_positions - reduction_5prime
-        summary_M.sub_positions = sub_positions[np.where(sub_positions >= 0)[0][0]: ]
-
-        # The following indel adjustments are very crude because Ni are not currently tracked.
-        if summary_M.insert_starts.size:
-            insert_starts = summary_M.insert_starts - reduction_5prime
-            new_insert_starts = np.where(insert_starts >= 0)[0]
-            summary_M.insert_starts = new_insert_starts
-            if new_insert_starts.size:
-                first_retained_insert_index = new_insert_starts[0]
-                summary_M.insert_strings = summary_M.insert_strings[first_retained_insert_index: ]
-                summary_M.spec_insert_covs = summary_M.spec_insert_covs[first_retained_insert_index: ]
-                summary_M.nonspec_insert_covs = summary_M.nonspec_insert_covs[first_retained_insert_index: ]
-            else:
-                summary_M.insert_strings = []
-                summary_M.spec_insert_covs = np.zeros(0, dtype=int)
-                summary_M.nonspec_insert_covs = np.zeros(0, dtype=int)
-
-        if summary_M.del_starts.size:
-            del_starts = summary_M.del_starts - reduction_5prime
-            new_del_starts = np.where(del_starts >= 0)[0]
-            summary_M.del_starts = new_del_starts
-            if new_del_starts.size:
-                first_retained_del_index = new_del_starts[0]
-                summary_M.del_lengths = summary_M.del_lengths[first_retained_del_index: ]
-                summary_M.spec_del_covs = summary_M.spec_del_covs[first_retained_del_index: ]
-                summary_M.nonspec_del_covs = summary_M.nonspec_del_covs[first_retained_del_index: ]
-            else:
-                summary_M.del_lengths = []
-                summary_M.spec_del_covs = np.zeros(0, dtype=int)
-                summary_M.nonspec_del_covs = np.zeros(0, dtype=int)
-
-        # Find the nt coverages of M from the Nb remaining in M.
-        seq_length = summary_M.spec_nt_covs_dict['A'].size - reduction_5prime
-        summary_M.spec_nt_covs_dict = spec_nt_covs_dict = {nt: np.zeros(seq_length, int) for nt in UNAMBIG_NTS}
-        summary_M.nonspec_nt_covs_dict = nonspec_nt_covs_dict = {nt: np.zeros(seq_length, int) for nt in UNAMBIG_NTS}
-        for summary_Nb in summary_M.summaries_Nb:
-            for nt in UNAMBIG_NTS:
-                spec_nt_covs_dict[nt] += summary_Nb.spec_nt_covs_dict[nt]
-                nonspec_nt_covs_dict[nt] += summary_Nb.nonspec_nt_covs_dict[nt]
-        summary_M.spec_covs = sum(spec_nt_covs_dict.values())
-        summary_M.nonspec_covs = sum(nonspec_nt_covs_dict.values())
+            total_nt_cov_dict = {nt: np.zeros(len(seed_seq.seq_string), int) for nt in UNAMBIG_NTS}
+            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
+                for nt in UNAMBIG_NTS:
+                    total_nt_cov_dict[nt] += norm_seq_summary.specific_nt_covs_dict[nt]
+            for mod_seq_summary in seed_seq.mod_seq_summaries:
+                for nt in UNAMBIG_NTS:
+                    total_nt_cov_dict[nt] += mod_seq_summary.specific_nt_covs_dict[nt]
+
+            seed_seq.seq_string = ''.join(
+                [INT_NT_DICT[i + 1] for i in
+                np.argmax(np.array([total_nt_cov_dict[nt] for nt in UNAMBIG_NTS]), axis=0)]
+            )
 
-        # Set a consensus seq using the nts with the highest specific cov at each sub position.
-        summary_M.consensus_string = ''.join(
-            [INT_NT_DICT[nt_int + 1] for nt_int in
-             np.argmax(np.stack(tuple(spec_nt_covs_dict.values()), axis=0), axis=0)])
+
+    def set_gc_fraction(self, seed_seqs):
+        for seed_seq in seed_seqs:
+            seed_seq.gc_fraction = sum([1 for nt in seed_seq.seq_string if nt == 'C' or nt == 'G']) / len(seed_seq.seq_string)
 
 
     def set_sample_covs(self):
-        """Determine coverages of seeds in each sample. Specific, nonspecific and summed coverages
-        are found for each nucleotide, as well as overall and for Q2-Q3."""
-        for seed in self.seeds:
-            sample_spec_covs_dict = {}
-            sample_nonspec_covs_dict = {}
+        """Determine sample-specific coverages of seeds. Specific, nonspecific and summed coverages
+        are found for A, C, G and T, as well as overall and for Q2-Q3."""
+        for seed_seq in self.seed_seqs:
+            sample_specific_covs_dict = {}
+            sample_nonspecific_covs_dict = {}
             sample_summed_covs_dict = {}
-            sample_spec_nt_covs_dict = {}
-            sample_nonspec_nt_covs_dict = {}
+            sample_specific_nt_covs_dict = {}
+            sample_nonspecific_nt_covs_dict = {}
             sample_summed_nt_covs_dict = {}
-            seed_length = len(seed.string)
+            seed_seq_length = len(seed_seq.seq_string)
 
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_spec_covs_dict[sample_id] = np.zeros(seed_length, int)
-                sample_nonspec_covs_dict[sample_id] = np.zeros(seed_length, int)
+                sample_specific_covs_dict[sample_id] = np.zeros(seed_seq_length, int)
+                sample_nonspecific_covs_dict[sample_id] = np.zeros(seed_seq_length, int)
 
-                sample_spec_nt_covs_dict[sample_id] = [np.zeros(seed_length, int) for _ in UNAMBIG_NTS]
-                sample_nonspec_nt_covs_dict[sample_id] = [np.zeros(seed_length, int) for _ in UNAMBIG_NTS]
+                sample_specific_nt_covs_dict[sample_id] = [np.zeros(seed_seq_length, int) for _ in UNAMBIG_NTS]
+                sample_nonspecific_nt_covs_dict[sample_id] = [np.zeros(seed_seq_length, int) for _ in UNAMBIG_NTS]
 
-            for summary_Nu in seed.summaries_Nu:
-                sample_id = summary_Nu.sample_id
+            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
+                sample_id = norm_seq_summary.sample_id
 
-                sample_spec_covs_dict[sample_id] += summary_Nu.spec_covs
-                sample_nonspec_covs_dict[sample_id] += summary_Nu.nonspec_covs
+                sample_specific_covs_dict[sample_id] += norm_seq_summary.specific_covs
+                sample_nonspecific_covs_dict[sample_id] += norm_seq_summary.nonspecific_covs
 
-                for nt_num, nt in enumerate(UNAMBIG_NTS):
-                    sample_spec_nt_covs_dict[sample_id][nt_num] += summary_Nu.spec_nt_covs_dict[nt]
-                    sample_nonspec_nt_covs_dict[sample_id][nt_num] += summary_Nu.nonspec_nt_covs_dict[nt]
+                for i, nt in enumerate(UNAMBIG_NTS):
+                    sample_specific_nt_covs_dict[sample_id][i] += norm_seq_summary.specific_nt_covs_dict[nt]
+                    sample_nonspecific_nt_covs_dict[sample_id][i] += norm_seq_summary.nonspecific_nt_covs_dict[nt]
 
-            for summary_M in seed.summaries_M:
-                sample_id = summary_M.sample_id
+            for mod_seq_summary in seed_seq.mod_seq_summaries:
+                sample_id = mod_seq_summary.sample_id
 
-                sample_spec_covs_dict[sample_id] += summary_M.spec_covs
-                sample_nonspec_covs_dict[sample_id] += summary_M.nonspec_covs
+                sample_specific_covs_dict[sample_id] += mod_seq_summary.specific_covs
+                sample_nonspecific_covs_dict[sample_id] += mod_seq_summary.nonspecific_covs
 
-                for nt_num, nt in enumerate(UNAMBIG_NTS):
-                    sample_spec_nt_covs_dict[sample_id][nt_num] += summary_M.spec_nt_covs_dict[nt]
-                    sample_nonspec_nt_covs_dict[sample_id][nt_num] += summary_M.nonspec_nt_covs_dict[nt]
+                for i, nt in enumerate(UNAMBIG_NTS):
+                    sample_specific_nt_covs_dict[sample_id][i] += mod_seq_summary.specific_nt_covs_dict[nt]
+                    sample_nonspecific_nt_covs_dict[sample_id][i] += mod_seq_summary.nonspecific_nt_covs_dict[nt]
 
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_summed_covs_dict[sample_id] = sample_spec_covs_dict[sample_id] + sample_nonspec_covs_dict[sample_id]
-
-                sample_spec_nt_covs = sample_spec_nt_covs_dict[sample_id]
-                sample_nonspec_nt_covs = sample_nonspec_nt_covs_dict[sample_id]
-                sample_summed_nt_covs_dict[sample_id] = [spec_covs + nonspec_covs for spec_covs, nonspec_covs
-                                                         in zip(sample_spec_nt_covs, sample_nonspec_nt_covs)]
-
-            seed.sample_spec_covs_dict = sample_spec_covs_dict
-            seed.sample_nonspec_covs_dict = sample_nonspec_covs_dict
-            seed.sample_summed_covs_dict = sample_summed_covs_dict
-            seed.sample_spec_nt_covs_dict = sample_spec_nt_covs_dict
-            seed.sample_nonspec_nt_covs_dict = sample_nonspec_nt_covs_dict
-            seed.sample_summed_nt_covs_dict = sample_summed_nt_covs_dict
-
-            quartile = int(seed_length * 0.25)
-            seed.sample_mean_Q2Q3_spec_cov_dict = {}
-            seed.sample_mean_Q2Q3_nonspec_cov_dict = {}
-            seed.sample_mean_Q2Q3_summed_cov_dict = {}
+                sample_summed_covs_dict[sample_id] = sample_specific_covs_dict[sample_id] + sample_nonspecific_covs_dict[sample_id]
+
+                sample_specific_nt_covs = sample_specific_nt_covs_dict[sample_id]
+                sample_nonspecific_nt_covs = sample_nonspecific_nt_covs_dict[sample_id]
+                sample_summed_nt_covs_dict[sample_id] = [specific_covs + nonspecific_covs for specific_covs, nonspecific_covs
+                                                         in zip(sample_specific_nt_covs, sample_nonspecific_nt_covs)]
+
+            seed_seq.sample_specific_covs_dict = sample_specific_covs_dict
+            seed_seq.sample_nonspecific_covs_dict = sample_nonspecific_covs_dict
+            seed_seq.sample_summed_covs_dict = sample_summed_covs_dict
+            seed_seq.sample_specific_nt_covs_dict = sample_specific_nt_covs_dict
+            seed_seq.sample_nonspecific_nt_covs_dict = sample_nonspecific_nt_covs_dict
+            seed_seq.sample_summed_nt_covs_dict = sample_summed_nt_covs_dict
+
+            q = int(seed_seq_length * 0.25)
+            seed_seq.sample_mean_Q2Q3_specific_cov_dict = {}
+            seed_seq.sample_mean_Q2Q3_nonspecific_cov_dict = {}
+            seed_seq.sample_mean_Q2Q3_summed_cov_dict = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                seed.sample_mean_Q2Q3_spec_cov_dict[sample_id] = np.mean(
-                    sorted(sample_spec_covs_dict[sample_id])[quartile: -quartile])
-                seed.sample_mean_Q2Q3_nonspec_cov_dict[sample_id] = np.mean(
-                    sorted(sample_nonspec_covs_dict[sample_id])[quartile: -quartile])
-                seed.sample_mean_Q2Q3_summed_cov_dict[sample_id] = np.mean(
-                    sorted(sample_summed_covs_dict[sample_id])[quartile: -quartile])
-
-
-    def set_substitutions(self):
-        """Predict positions with modification-induced substitutions in the tRNA seed.
-
-        A sub requires a certain level of third- and/or fourth-most abundant nts at the position in
-        ≥1 sample. A sub in any particular sample additionally requires a certain level of second-
-        through fourth-most abundant nts at the position.
-
-        There is currently an idiosyncracy in how subs are set that results in the retention, but
-        potential masking, of SNVs. If the position of a potential modification does not meet the
-        coverage threshold for third- and fourth-most abundant nucleotides, the seed is not split
-        into separate seeds around those SNVs, as occurs in `anvi-trnaseq`. Instead, the SNVs are
-        simply not reported. This is a downside to imposing the aforementioned coverage
+                seed_seq.sample_mean_Q2Q3_specific_cov_dict[sample_id] = np.mean(
+                    sorted(sample_specific_covs_dict[sample_id])[q: -q])
+                seed_seq.sample_mean_Q2Q3_nonspecific_cov_dict[sample_id] = np.mean(
+                    sorted(sample_nonspecific_covs_dict[sample_id])[q: -q])
+                seed_seq.sample_mean_Q2Q3_summed_cov_dict[sample_id] = np.mean(
+                    sorted(sample_summed_covs_dict[sample_id])[q: -q])
+
+
+    def set_mods(self):
+        """Predict modified positions in the tRNA seed.
+
+        A modification requires a certain level of third- and/or fourth-most abundant nucleotides at
+        the position in one or more samples. A modification in any particular sample additionally
+        requires a certain level of second- through fourth-most abundant nucleotides at the
+        position.
+
+        There is currently an idiosyncracy in how modifications are set that results in the
+        retention, but potential masking, of SNVs. If the position of a potential modification does
+        not meet the coverage threshold for third- and fourth-most abundant nucleotides, the seed is
+        not split into separate seeds around those SNVs, as occurs in anvi-trnaseq. Instead, the
+        SNVs are simply not reported. This is a downside to imposing the aforementioned coverage
         threshold."""
         # Division by zero issues a numpy warning, but we handle it immediately by converting the
-        # nan result to zero so that a warning is not produced. Unfortunately, this is the only way
-        # to suppress the warning that is known by the humble developer.
+        # nan result to zero, so you don't need to see the warning. Unfortunately, this is the only
+        # way we have found to suppress the warning.
         np.seterr(invalid='ignore')
         min_variation = self.min_variation
         min_third_fourth_nt = self.min_third_fourth_nt
-        for seed in self.seeds:
-            sample_sub_positions_dict = {}
+        for seed_seq in self.seed_seqs:
+            sample_mod_positions_dict = {}
             sample_variability_dict = {}
-            sample_spec_nt_covs_dict = seed.sample_spec_nt_covs_dict
-            seed_length = len(seed.string)
+            sample_specific_nt_covs_dict = seed_seq.sample_specific_nt_covs_dict
+            seed_seq_length = len(seed_seq.seq_string)
             sample_variations = []
-            third_fourth_variations = np.zeros(seed_length)
-            for sample_id, spec_nt_covs in sample_spec_nt_covs_dict.items():
-                spec_nt_covs_array = np.array(spec_nt_covs)
-                spec_nt_covs_array.sort(axis=0)
-                first_covs = spec_nt_covs_array[-1, :]
-                second_covs = spec_nt_covs_array[-2, :]
-                summed_covs = spec_nt_covs_array.sum(axis=0)
+            third_fourth_variations = np.zeros(seed_seq_length)
+            for sample_id, specific_nt_covs in sample_specific_nt_covs_dict.items():
+                specific_nt_covs_array = np.array(specific_nt_covs)
+                specific_nt_covs_array.sort(axis=0)
+                first_covs = specific_nt_covs_array[-1, :]
+                second_covs = specific_nt_covs_array[-2, :]
+                summed_covs = specific_nt_covs_array.sum(axis=0)
                 sample_variations.append(np.nan_to_num(1 - first_covs / summed_covs))
                 third_fourth_variations += np.nan_to_num(1 - (first_covs + second_covs) / summed_covs) >= min_third_fourth_nt
             sample_variations = np.array(sample_variations)
             third_fourth_variations = (third_fourth_variations > 0)
-            total_sub_positions = np.nonzero((sample_variations >= min_variation).any(axis=0) & third_fourth_variations)[0]
-            sub_sample_variations = sample_variations[:, total_sub_positions]
-            for sample_num, sample_id in enumerate(sample_spec_nt_covs_dict.keys()):
-                sample_sub_positions = total_sub_positions[np.nonzero(sub_sample_variations[sample_num, :] >= min_variation)[0]]
-                sample_sub_positions_dict[sample_id] = sample_sub_positions.tolist()
-                sample_variability_dict[sample_id] = sample_sub_positions.size * 1000 / seed_length
-            seed.total_sub_positions = total_sub_positions.tolist()
-            seed.sample_sub_positions_dict = sample_sub_positions_dict
-            seed.sample_variability_dict = sample_variability_dict
+            total_mod_positions = np.nonzero((sample_variations >= min_variation).any(axis=0) & third_fourth_variations)[0]
+            mod_sample_variations = sample_variations[:, total_mod_positions]
+            for sample_num, sample_id in enumerate(sample_specific_nt_covs_dict.keys()):
+                sample_mod_positions = total_mod_positions[np.nonzero(mod_sample_variations[sample_num, :] >= min_variation)[0]]
+                sample_mod_positions_dict[sample_id] = sample_mod_positions.tolist()
+                sample_variability_dict[sample_id] = sample_mod_positions.size * 1000 / seed_seq_length
+            seed_seq.total_mod_positions = total_mod_positions.tolist()
+            seed_seq.sample_mod_positions_dict = sample_mod_positions_dict
+            seed_seq.sample_variability_dict = sample_variability_dict
         np.seterr(invalid='warn')
 
-        if self.preferred_treatment:
-            self.set_consensus_substitution_nucleotides()
-
-
-    def set_consensus_substitution_nucleotides(self):
-        """Change predicted nucleotides in seed consensus sequences to those supported by the
-        samples with the preferred treatment (e.g., demethylase splits) with the goal of increasing
-        the accuracy of the underlying base call."""
-        for seed in self.seeds:
-            seed_string = seed.string
-            preferred_nt_cov_dict = {nt: np.zeros(len(seed_string), int) for nt in UNAMBIG_NTS}
-            for summary_Nu in seed.summaries_Nu:
-                if summary_Nu.sample_id in self.preferred_trnaseq_db_sample_ids:
+
+    def set_consensus_mod_nts(self):
+        """Change predicted modified nucleotides in the seed consensus sequences to the nucleotides
+        supported by the "preferred" treated samples, e.g., demethylase splits, with the goal of
+        increasing the accuracy of the underlying base call."""
+        if not self.preferred_treatment:
+            return
+
+        for seed_seq in self.seed_seqs:
+            seq_string = seed_seq.seq_string
+            preferred_nt_cov_dict = {nt: np.zeros(len(seq_string), int) for nt in UNAMBIG_NTS}
+            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
+                if norm_seq_summary.sample_id in self.preferred_trnaseq_db_sample_ids:
                     for nt in UNAMBIG_NTS:
-                        preferred_nt_cov_dict[nt] += summary_Nu.spec_nt_covs_dict[nt]
-            for summary_M in seed.summaries_M:
-                if summary_M.sample_id in self.preferred_trnaseq_db_sample_ids:
+                        preferred_nt_cov_dict[nt] += norm_seq_summary.specific_nt_covs_dict[nt]
+            for mod_seq_summary in seed_seq.mod_seq_summaries:
+                if mod_seq_summary.sample_id in self.preferred_trnaseq_db_sample_ids:
                     for nt in UNAMBIG_NTS:
-                        preferred_nt_cov_dict[nt] += summary_M.spec_nt_covs_dict[nt]
+                        preferred_nt_cov_dict[nt] += mod_seq_summary.specific_nt_covs_dict[nt]
 
             preferred_nt_cov_array = np.array([preferred_nt_cov_dict[nt] for nt in UNAMBIG_NTS])
-            for sub_pos in seed.total_sub_positions:
-                sub_covs = preferred_nt_cov_array[:, sub_pos]
-                if sub_covs.sum() == 0:
-                    # The preferred treatments do not have specific coverage of the sub site.
+            for mod_pos in seed_seq.total_mod_positions:
+                mod_covs = preferred_nt_cov_array[:, mod_pos]
+                if mod_covs.sum() == 0:
+                    # The preferred treatments do not have specific coverage of the modified site.
                     continue
-                seed_string = seed_string[: sub_pos] + INT_NT_DICT[np.argmax(sub_covs) + 1] + seed_string[sub_pos + 1: ]
-            seed.string = seed_string
+                seq_string = seq_string[: mod_pos] + INT_NT_DICT[np.argmax(mod_covs) + 1] + seq_string[mod_pos + 1: ]
+            seed_seq.seq_string = seq_string
 
 
     def set_sample_indels(self):
-        for seed in self.seeds:
+        for seed_seq in self.seed_seqs:
             sample_insert_dict = {}
             sample_del_dict = {}
 
@@ -6445,39 +6151,40 @@ def set_sample_indels(self):
                 sample_insert_dict[sample_id] = []
                 sample_del_dict[sample_id] = []
 
-            for summary_M in seed.summaries_M:
-                sample_id = summary_M.sample_id
+            for mod_seq_summary in seed_seq.mod_seq_summaries:
+                sample_id = mod_seq_summary.sample_id
 
                 sample_insert_info = sample_insert_dict[sample_id]
-                for insert_start, insert_string, spec_insert_cov, nonspec_insert_cov in zip(summary_M.insert_starts,
-                                                                                            summary_M.insert_strings,
-                                                                                            summary_M.spec_insert_covs,
-                                                                                            summary_M.nonspec_insert_covs):
+                for insert_start, insert_string, spec_insert_cov, nonspec_insert_cov in zip(mod_seq_summary.insert_starts,
+                                                                                            mod_seq_summary.insert_strings,
+                                                                                            mod_seq_summary.spec_insert_covs,
+                                                                                            mod_seq_summary.nonspec_insert_covs):
                     sample_insert_info.append((insert_start, insert_string, spec_insert_cov, nonspec_insert_cov))
 
                 sample_del_info = sample_del_dict[sample_id]
-                for del_start, del_length, spec_del_cov, nonspec_del_cov in zip(summary_M.del_starts,
-                                                                                summary_M.del_lengths,
-                                                                                summary_M.spec_del_covs,
-                                                                                summary_M.nonspec_del_covs):
+                for del_start, del_length, spec_del_cov, nonspec_del_cov in zip(mod_seq_summary.del_starts,
+                                                                                mod_seq_summary.del_lengths,
+                                                                                mod_seq_summary.spec_del_covs,
+                                                                                mod_seq_summary.nonspec_del_covs):
                     sample_del_info.append((del_start, del_length, spec_del_cov, nonspec_del_cov))
 
-            seed.sample_insert_dict = sample_insert_dict
-            seed.sample_del_dict = sample_del_dict
+            seed_seq.sample_insert_dict = sample_insert_dict
+            seed_seq.sample_del_dict = sample_del_dict
 
 
-    def generate_contigs_database(self):
-        """Generate a contigs database of tRNA seeds. The create method of `dbops.ContigsDatabase`
-        is not used because it tries to call genes, count kmers, and do other things that are
+    def gen_contigs_db(self):
+        """Generate a contigs database of tRNA seeds. The create method of dbops.ContigsDatabase is
+        not used because it tries to call genes, count kmers, and do other things that are
         irrelevant to tRNA-seq reads. There are no tRNA splits, but to satisfy the structure of the
-        database, call every contig a split, and maintain tables for both contigs and splits."""
+        database, call every contig a split, and maintain tables on both."""
         self.progress.new("Generating a contigs db of tRNA seeds")
         self.progress.update("...")
 
         contigs_db = dbops.ContigsDatabase(self.contigs_db_path)
-        contigs_db.touch('trnaseq')
-
+        contigs_db.touch()
         set_meta_value = contigs_db.db.set_meta_value
+        insert_many = contigs_db.db.insert_many
+
         # Meta-values are set like in `dbops.ContigsDatabase.create`.
         set_meta_value('db_type', 'contigs')
         set_meta_value('db_variant', 'trnaseq')
@@ -6485,8 +6192,8 @@ def generate_contigs_database(self):
         set_meta_value('description', self.descrip if self.descrip else '_No description is provided_')
         set_meta_value('contigs_db_hash', self.contigs_db_hash)
         set_meta_value('split_length', 10000) # sys.maxsize
-        set_meta_value('num_contigs', len(self.seeds))
-        set_meta_value('num_splits', len(self.seeds))
+        set_meta_value('num_contigs', len(self.seed_seqs))
+        set_meta_value('num_splits', len(self.seed_seqs))
         set_meta_value('total_length', self.total_seed_length)
         set_meta_value('kmer_size', 0)
         set_meta_value('gene_level_taxonomy_source', None)
@@ -6502,8 +6209,7 @@ def generate_contigs_database(self):
         set_meta_value('trna_taxonomy_database_version', None)
         set_meta_value('creation_date', time.time())
 
-        insert_many = contigs_db.db.insert_many
-        insert_many('contig_sequences', [(seed.name, seed.string) for seed in self.seeds])
+        insert_many('contig_sequences', [(seed_seq.name, seed_seq.seq_string) for seed_seq in self.seed_seqs])
         insert_many('contigs_basic_info', self.get_contigs_basic_info_table_entries())
         insert_many('splits_basic_info', self.get_splits_basic_info_table_entries())
         insert_many('hmm_hits', self.get_hmm_hits_table_entries())
@@ -6512,10 +6218,9 @@ def generate_contigs_database(self):
         # hits info table are 'ref', 'search_type', 'domain' and 'genes'.
         contigs_db.db.insert('hmm_hits_info', ('Transfer_RNAs', '', 'Transfer_RNAs', None, ''))
         insert_many('genes_in_contigs', self.get_genes_in_contigs_table_entries())
-        insert_many('gene_amino_acid_sequences', [(seed_num, '') for seed_num in range(len(self.seeds))])
+        insert_many('gene_amino_acid_sequences', [(i, '') for i in range(len(self.seed_seqs))])
         insert_many('genes_in_splits', self.get_genes_in_splits_table_entries())
         insert_many('gene_functions', self.get_gene_functions_table_entries())
-        insert_many('trna_feature', self.get_trna_feature_table_entries())
 
         contigs_db.disconnect()
 
@@ -6524,12 +6229,12 @@ def generate_contigs_database(self):
 
     def get_contigs_basic_info_table_entries(self):
         entries = []
-        for seed in self.seeds:
-            seed_string = seed.string
+        for seed_seq in self.seed_seqs:
+            seq_string = seed_seq.seq_string
             entries.append(
-                (seed.name,
-                 len(seed_string),
-                 seed.gc_fraction,
+                (seed_seq.name,
+                 len(seq_string),
+                 seed_seq.gc_fraction,
                  1)
             )
         return entries
@@ -6537,16 +6242,16 @@ def get_contigs_basic_info_table_entries(self):
 
     def get_splits_basic_info_table_entries(self):
         entries = []
-        for seed in self.seeds:
+        for seed_seq in self.seed_seqs:
             entries.append(
-                (seed.name + '_split_00001',
+                (seed_seq.name + '_split_00001',
                  0, # Order of split in parent contig
                  0, # Start in contig
-                 len(seed.string), # Stop in contig
-                 len(seed.string), # Split length
-                 seed.gc_fraction, # GC content of split
-                 seed.gc_fraction, # GC content of parent contig
-                 seed.name)
+                 len(seed_seq.seq_string), # Stop in contig
+                 len(seed_seq.seq_string), # Split length
+                 seed_seq.gc_fraction, # GC content of split
+                 seed_seq.gc_fraction, # GC content of parent contig
+                 seed_seq.name)
             )
         return entries
 
@@ -6554,25 +6259,25 @@ def get_splits_basic_info_table_entries(self):
     def get_hmm_hits_table_entries(self):
         """tRNA seeds are analogous to tRNA gene predictions from a metagenomic contigs database."""
         entries = []
-        for seed_num, seed in enumerate(self.seeds):
+        for i, seed_seq in enumerate(self.seed_seqs):
             entries.append(
-                (seed_num, # Entry ID
-                 'Transfer_RNAs', # Source, à la tRNA gene prediction via tRNAScan-SE
-                 sha1(seed.string.encode('utf-8')).hexdigest(), # "Gene unique identifier"
-                 seed_num, # "Gene callers ID"
-                 ANTICODON_AA_DICT[seed.anticodon_string] + '_' + seed.anticodon_string, # "Gene name", à la tRNA gene prediction via tRNAScan-SE
-                 '-', # "Gene HMM ID"
-                 0.0) # "HMM E-value"
+                (i, # Entry ID
+                'Transfer_RNAs', # Source, à la tRNA gene prediction via tRNAScan-SE
+                sha1(seed_seq.seq_string.encode('utf-8')).hexdigest(), # "Gene unique identifier"
+                i, # "Gene callers ID"
+                ANTICODON_AA_DICT[seed_seq.anticodon_seq_string] + '_' + seed_seq.anticodon_seq_string, # "Gene name", à la tRNA gene prediction via tRNAScan-SE
+                '-', # "Gene HMM ID"
+                0.0) # "HMM E-value"
             )
         return entries
 
 
     def get_hmm_hits_in_splits_table_entries(self):
         entries = []
-        for seed_num, seed in enumerate(self.seeds):
+        for i, seed_seq in enumerate(self.seed_seqs):
             entries.append(
-                (seed_num, # Entry ID
-                 seed.name + '_split_00001', # Split name
+                (i, # Entry ID
+                 seed_seq.name + '_split_00001', # Split name
                  100, # Percentage of "HMM hit" in split
                  'Transfer_RNAs')
             )
@@ -6581,12 +6286,12 @@ def get_hmm_hits_in_splits_table_entries(self):
 
     def get_genes_in_contigs_table_entries(self):
         entries = []
-        for seed_num, seed in enumerate(self.seeds):
+        for i, seed_seq in enumerate(self.seed_seqs):
             entries.append(
-                (seed_num, # Gene callers ID
-                 seed.name, # Contig name
+                (i, # Gene callers ID
+                 seed_seq.name, # Contig name
                  0, # Gene start in contig
-                 len(seed.string), # Gene stop in contig
+                 len(seed_seq.seq_string), # Gene stop in contig
                  'f', # Direction of gene call on contig
                  0, # Is partial gene call: for now, say all seeds are "full tRNAs"
                  2, # Call type: 1 = coding, 2 = noncoding, 3 = unknown
@@ -6598,12 +6303,12 @@ def get_genes_in_contigs_table_entries(self):
 
     def get_genes_in_splits_table_entries(self):
         entries = []
-        for seed_num, seed in enumerate(self.seeds):
+        for i, seed_seq in enumerate(self.seed_seqs):
             entries.append(
-                (seed.name + '_split_00001',
-                 seed_num,
+                (seed_seq.name + '_split_00001',
+                 i,
                  0,
-                 len(seed.string),
+                 len(seed_seq.seq_string),
                  100)
             )
         return entries
@@ -6611,202 +6316,200 @@ def get_genes_in_splits_table_entries(self):
 
     def get_gene_functions_table_entries(self):
         entries = []
-        for seed_num, seed in enumerate(self.seeds):
+        for i, seed_seq in enumerate(self.seed_seqs):
             entries.append(
-                (seed_num,
+                (i,
                  'Transfer_RNAs',
-                 '%s_%s_%d' % (ANTICODON_AA_DICT[seed.anticodon_string], seed.anticodon_string, seed_num),
+                 '%s_%s_%d' % (ANTICODON_AA_DICT[seed_seq.anticodon_seq_string], seed_seq.anticodon_seq_string, i),
                  'tRNA transcript',
                  0.0)
             )
         return entries
 
 
-    def get_trna_feature_table_entries(self):
-        entries = []
-        for seed_num, seed in enumerate(self.seeds):
-            entry = [seed_num]
-            for feature, feature_index in seed.feature_dict.items():
-                try:
-                    if feature_index >= -10:
-                        entry.append(feature_index)
-                    else:
-                        entry.append(None)
-                except TypeError:
-                    entry.append(','.join(map(str, feature_index)))
-            entries.append(tuple(entry))
-        return entries
-
-
-    def generate_auxiliary_database(self, db_cov_type):
+    def gen_auxiliary_db(self, db_cov_type):
         if db_cov_type == 'specific':
-            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.spec_auxiliary_db_path, self.contigs_db_hash, db_variant='trnaseq', create_new=True)
-            for seed in self.seeds:
-                split_name = seed.name + '_split_00001'
-                for sample_id in self.trnaseq_db_sample_ids:
-                    auxiliary_db.append(split_name, sample_id, seed.sample_spec_covs_dict[sample_id].tolist())
+            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(
+                self.specific_auxiliary_db_path, self.contigs_db_hash, create_new=True)
+            for seed_seq in self.seed_seqs:
+                split_name = seed_seq.name + '_split_00001'
+                for sample_id in self.trnaseq_db_sample_ids:\
+                    auxiliary_db.append(split_name,
+                                        sample_id,
+                                        seed_seq.sample_specific_covs_dict[sample_id].tolist())
         elif db_cov_type == 'nonspecific':
-            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.nonspec_auxiliary_db_path, self.contigs_db_hash, db_variant='trnaseq', create_new=True)
-            for seed in self.seeds:
-                split_name = seed.name + '_split_00001'
+            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(
+                self.nonspecific_auxiliary_db_path, self.contigs_db_hash, create_new=True)
+            for seed_seq in self.seed_seqs:
+                split_name = seed_seq.name + '_split_00001'
                 for sample_id in self.trnaseq_db_sample_ids:
-                    auxiliary_db.append(split_name, sample_id, seed.sample_nonspec_covs_dict[sample_id].tolist())
+                    auxiliary_db.append(split_name,
+                                        sample_id,
+                                        seed_seq.sample_nonspecific_covs_dict[sample_id].tolist())
         elif db_cov_type == 'combined':
-            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.combined_auxiliary_db_path, self.contigs_db_hash, db_variant='trnaseq', create_new=True)
-            for seed in self.seeds:
-                split_name = seed.name + '_split_00001'
+            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(
+                self.combined_auxiliary_db_path, self.contigs_db_hash, create_new=True)
+            for seed_seq in self.seed_seqs:
+                split_name = seed_seq.name + '_split_00001'
                 for sample_id in self.trnaseq_db_sample_ids:
-                    auxiliary_db.append(split_name, sample_id + '_specific', seed.sample_spec_covs_dict[sample_id].tolist())
-                    auxiliary_db.append(split_name, sample_id + '_nonspecific', seed.sample_nonspec_covs_dict[sample_id].tolist())
+                    auxiliary_db.append(split_name,
+                                        sample_id + '_specific',
+                                        seed_seq.sample_specific_covs_dict[sample_id].tolist())
+                    auxiliary_db.append(split_name,
+                                        sample_id + '_nonspecific',
+                                        seed_seq.sample_nonspecific_covs_dict[sample_id].tolist())
         elif db_cov_type == 'summed':
-            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.summed_auxiliary_db_path, self.contigs_db_hash, db_variant='trnaseq', create_new=True)
-            for seed in self.seeds:
-                split_name = seed.name + '_split_00001'
+            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(
+                self.summed_auxiliary_db_path, self.contigs_db_hash, create_new=True)
+            for seed_seq in self.seed_seqs:
+                split_name = seed_seq.name + '_split_00001'
                 for sample_id in self.trnaseq_db_sample_ids:
-                    auxiliary_db.append(split_name, sample_id, (seed.sample_spec_covs_dict[sample_id] + seed.sample_nonspec_covs_dict[sample_id]).tolist())
+                    auxiliary_db.append(split_name,
+                                        sample_id,
+                                        (seed_seq.sample_specific_covs_dict[sample_id] + seed_seq.sample_nonspecific_covs_dict[sample_id]).tolist())
         else:
-            raise ConfigError(f"The type of profile database provided, {db_cov_type}, "
-                              "is not among those that are recognized: 'specific', 'nonspecific', 'combined', and 'summed'.")
+            raise ConfigError(f"The type of profile database provided, {db_cov_type}, is not among "
+                              "those that are recognized: 'specific', 'nonspecific', 'combined', and 'summed'.")
 
         auxiliary_db.store()
         auxiliary_db.close()
 
 
-    def set_sample_total_coverages(self):
+    def set_sample_total_covs(self):
         """For each input sample, find the total specific, nonspecific and summed coverage of the
         seeds across all positions (single integers)."""
-        sample_total_spec_cov_dict = {sample_id: 0 for sample_id in self.trnaseq_db_sample_ids}
-        sample_total_nonspec_cov_dict = {sample_id: 0 for sample_id in self.trnaseq_db_sample_ids}
-        for seed in self.seeds:
-            for summary_Nu in seed.summaries_Nu:
-                sample_id = summary_Nu.sample_id
-                spec_cov = summary_Nu.spec_covs.sum()
-                nonspec_cov = summary_Nu.nonspec_covs.sum()
-                sample_total_spec_cov_dict[sample_id] += spec_cov
-                sample_total_nonspec_cov_dict[sample_id] += nonspec_cov
-            for summary_M in seed.summaries_M:
-                sample_id = summary_M.sample_id
-                spec_cov = summary_M.spec_covs.sum()
-                nonspec_cov = summary_M.nonspec_covs.sum()
-                sample_total_spec_cov_dict[sample_id] += spec_cov
-                sample_total_nonspec_cov_dict[sample_id] += nonspec_cov
+        sample_total_specific_cov_dict = {sample_id: 0 for sample_id in self.trnaseq_db_sample_ids}
+        sample_total_nonspecific_cov_dict = {sample_id: 0 for sample_id in self.trnaseq_db_sample_ids}
+        for seed_seq in self.seed_seqs:
+            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
+                sample_id = norm_seq_summary.sample_id
+                specific_cov = norm_seq_summary.specific_covs.sum()
+                nonspecific_cov = norm_seq_summary.nonspecific_covs.sum()
+                sample_total_specific_cov_dict[sample_id] += specific_cov
+                sample_total_nonspecific_cov_dict[sample_id] += nonspecific_cov
+            for mod_seq_summary in seed_seq.mod_seq_summaries:
+                sample_id = mod_seq_summary.sample_id
+                specific_cov = mod_seq_summary.specific_covs.sum()
+                nonspecific_cov = mod_seq_summary.nonspecific_covs.sum()
+                sample_total_specific_cov_dict[sample_id] += specific_cov
+                sample_total_nonspecific_cov_dict[sample_id] += nonspecific_cov
 
         sample_total_summed_cov_dict = {}
         for sample_id in self.trnaseq_db_sample_ids:
-            sample_total_summed_cov_dict[sample_id] = sample_total_spec_cov_dict[sample_id] + sample_total_nonspec_cov_dict[sample_id]
+            sample_total_summed_cov_dict[sample_id] = sample_total_specific_cov_dict[sample_id] + sample_total_nonspecific_cov_dict[sample_id]
 
-        self.sample_total_spec_cov_dict = sample_total_spec_cov_dict
-        self.sample_total_nonspec_cov_dict = sample_total_nonspec_cov_dict
+        self.sample_total_specific_cov_dict = sample_total_specific_cov_dict
+        self.sample_total_nonspecific_cov_dict = sample_total_nonspecific_cov_dict
         self.sample_total_summed_cov_dict = sample_total_summed_cov_dict
 
 
-    def set_sample_overall_mean_coverages(self):
+    def set_sample_overall_mean_covs(self):
         """For each input sample, find the mean specific, nonspecific and summed coverage of all
         seeds across all positions (single numbers)."""
-        sample_overall_mean_spec_cov_dict = {}
-        sample_overall_mean_nonspec_cov_dict = {}
+        sample_overall_mean_specific_cov_dict = {}
+        sample_overall_mean_nonspecific_cov_dict = {}
         sample_overall_mean_summed_cov_dict = {}
-        for sample_id, total_spec_cov in self.sample_total_spec_cov_dict.items():
-            sample_overall_mean_spec_cov_dict[sample_id] = total_spec_cov / self.total_seed_length
-        for sample_id, total_nonspec_cov in self.sample_total_nonspec_cov_dict.items():
-            sample_overall_mean_nonspec_cov_dict[sample_id] = total_nonspec_cov / self.total_seed_length
+        for sample_id, total_specific_cov in self.sample_total_specific_cov_dict.items():
+            sample_overall_mean_specific_cov_dict[sample_id] = total_specific_cov / self.total_seed_length
+        for sample_id, total_nonspecific_cov in self.sample_total_nonspecific_cov_dict.items():
+            sample_overall_mean_nonspecific_cov_dict[sample_id] = total_nonspecific_cov / self.total_seed_length
         for sample_id, total_summed_cov in self.sample_total_summed_cov_dict.items():
             sample_overall_mean_summed_cov_dict[sample_id] = total_summed_cov / self.total_seed_length
 
-        self.sample_overall_mean_spec_cov_dict = sample_overall_mean_spec_cov_dict
-        self.sample_overall_mean_nonspec_cov_dict = sample_overall_mean_nonspec_cov_dict
+        self.sample_overall_mean_specific_cov_dict = sample_overall_mean_specific_cov_dict
+        self.sample_overall_mean_nonspecific_cov_dict = sample_overall_mean_nonspecific_cov_dict
         self.sample_overall_mean_summed_cov_dict = sample_overall_mean_summed_cov_dict
 
 
-    def set_sample_mean_coverages(self):
-        """Set the mean coverage of each seed in a sample."""
-        for seed in self.seeds:
-            sample_mean_spec_cov_dict = {}
-            sample_mean_nonspec_cov_dict = {}
+    def set_sample_mean_covs(self):
+        """Mean coverage of each seed in a sample."""
+        for seed_seq in self.seed_seqs:
+            sample_mean_specific_cov_dict = {}
+            sample_mean_nonspecific_cov_dict = {}
             sample_mean_summed_cov_dict = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_mean_spec_cov_dict[sample_id] = seed.sample_spec_covs_dict[sample_id].mean()
-                sample_mean_nonspec_cov_dict[sample_id] = seed.sample_nonspec_covs_dict[sample_id].mean()
-                sample_mean_summed_cov_dict[sample_id] = seed.sample_summed_covs_dict[sample_id].mean()
-            seed.sample_mean_spec_cov_dict = sample_mean_spec_cov_dict
-            seed.sample_mean_nonspec_cov_dict = sample_mean_nonspec_cov_dict
-            seed.sample_mean_summed_cov_dict = sample_mean_summed_cov_dict
-
-
-    def set_sample_coverage_standard_deviations(self):
-        """Set the standard deviation of the coverage of each seed in a sample."""
-        for seed in self.seeds:
-            sample_std_spec_cov_dict = {}
-            sample_std_nonspec_cov_dict = {}
+                sample_mean_specific_cov_dict[sample_id] = seed_seq.sample_specific_covs_dict[sample_id].mean()
+                sample_mean_nonspecific_cov_dict[sample_id] = seed_seq.sample_nonspecific_covs_dict[sample_id].mean()
+                sample_mean_summed_cov_dict[sample_id] = seed_seq.sample_summed_covs_dict[sample_id].mean()
+            seed_seq.sample_mean_specific_cov_dict = sample_mean_specific_cov_dict
+            seed_seq.sample_mean_nonspecific_cov_dict = sample_mean_nonspecific_cov_dict
+            seed_seq.sample_mean_summed_cov_dict = sample_mean_summed_cov_dict
+
+
+    def set_sample_std_covs(self):
+        """Standard deviation of the coverage of each seed in a sample."""
+        for seed_seq in self.seed_seqs:
+            sample_std_specific_cov_dict = {}
+            sample_std_nonspecific_cov_dict = {}
             sample_std_summed_cov_dict = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_std_spec_cov_dict[sample_id] = seed.sample_spec_covs_dict[sample_id].std()
-                sample_std_nonspec_cov_dict[sample_id] = seed.sample_nonspec_covs_dict[sample_id].std()
-                sample_std_summed_cov_dict[sample_id] = seed.sample_summed_covs_dict[sample_id].std()
-            seed.sample_std_spec_cov_dict = sample_std_spec_cov_dict
-            seed.sample_std_nonspec_cov_dict = sample_std_nonspec_cov_dict
-            seed.sample_std_summed_cov_dict = sample_std_summed_cov_dict
+                sample_std_specific_cov_dict[sample_id] = seed_seq.sample_specific_covs_dict[sample_id].std()
+                sample_std_nonspecific_cov_dict[sample_id] = seed_seq.sample_nonspecific_covs_dict[sample_id].std()
+                sample_std_summed_cov_dict[sample_id] = seed_seq.sample_summed_covs_dict[sample_id].std()
+            seed_seq.sample_std_specific_cov_dict = sample_std_specific_cov_dict
+            seed_seq.sample_std_nonspecific_cov_dict = sample_std_nonspecific_cov_dict
+            seed_seq.sample_std_summed_cov_dict = sample_std_summed_cov_dict
 
 
     def set_sample_abundances(self):
         """For each sample, and for specific and nonspecific coverages, abundance is defined as the
         mean coverage of the seed divided by the mean total coverage of the sample across all
         seeds."""
-        for seed in self.seeds:
-            sample_spec_abund_dict = {}
-            sample_nonspec_abund_dict = {}
-            sample_summed_abund_dict = {}
+        for seed_seq in self.seed_seqs:
+            sample_specific_abundances_dict = {}
+            sample_nonspecific_abundances_dict = {}
+            sample_summed_abundances_dict = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_spec_abund_dict[sample_id] = seed.sample_mean_spec_cov_dict[sample_id] / self.sample_overall_mean_spec_cov_dict[sample_id]
-                sample_nonspec_abund_dict[sample_id] = seed.sample_mean_nonspec_cov_dict[sample_id] / self.sample_overall_mean_nonspec_cov_dict[sample_id]
-                sample_summed_abund_dict[sample_id] = seed.sample_mean_summed_cov_dict[sample_id] / self.sample_overall_mean_summed_cov_dict[sample_id]
-            seed.sample_spec_abund_dict = sample_spec_abund_dict
-            seed.sample_nonspec_abund_dict = sample_nonspec_abund_dict
-            seed.sample_summed_abund_dict = sample_summed_abund_dict
+                sample_specific_abundances_dict[sample_id] = seed_seq.sample_mean_specific_cov_dict[sample_id] / self.sample_overall_mean_specific_cov_dict[sample_id]
+                sample_nonspecific_abundances_dict[sample_id] = seed_seq.sample_mean_nonspecific_cov_dict[sample_id] / self.sample_overall_mean_nonspecific_cov_dict[sample_id]
+                sample_summed_abundances_dict[sample_id] = seed_seq.sample_mean_summed_cov_dict[sample_id] / self.sample_overall_mean_summed_cov_dict[sample_id]
+            seed_seq.sample_specific_abundances_dict = sample_specific_abundances_dict
+            seed_seq.sample_nonspecific_abundances_dict = sample_nonspecific_abundances_dict
+            seed_seq.sample_summed_abundances_dict = sample_summed_abundances_dict
 
 
     def set_sample_normalization_multipliers(self):
         """Set a normalization constant for each sample to scale their coverages, allowing the
-        relative abundance of seeds in a sample to be compared between samples. Normalization is
-        based on the total specific coverage of each sample -- one can imagine other ways of doing
-        this, including use of summed specific and nonspecific coverage, but this would require
+        relative abundance of seeds in a sample to compared between samples. Normalization is based
+        on the total specific coverage of each sample -- one can imagine other ways of doing this,
+        including use of summed specific and nonspecific coverage, but this would require
         deconvoluting the multiple representation of nonspecific reads."""
         sample_normalization_multiplier_dict = {}
-        min_total_spec_cov = min([v for v in self.sample_total_spec_cov_dict.values()])
-        for sample_id, total_spec_cov in self.sample_total_spec_cov_dict.items():
-            sample_normalization_multiplier_dict[sample_id] = min_total_spec_cov / total_spec_cov
+        min_total_specific_cov = min([v for v in self.sample_total_specific_cov_dict.values()])
+        for sample_id, total_specific_cov in self.sample_total_specific_cov_dict.items():
+            sample_normalization_multiplier_dict[sample_id] = min_total_specific_cov / total_specific_cov
         self.sample_normalization_multiplier_dict = sample_normalization_multiplier_dict
 
 
     def set_sample_normalized_mean_Q2Q3_coverages(self):
         """Scale mean coverages for comparison across samples."""
-        for seed in self.seeds:
-            sample_normalized_mean_Q2Q3_spec_cov_dict = {}
-            sample_normalized_mean_Q2Q3_nonspec_cov_dict = {}
+        for seed_seq in self.seed_seqs:
+            sample_normalized_mean_Q2Q3_specific_cov_dict = {}
+            sample_normalized_mean_Q2Q3_nonspecific_cov_dict = {}
             sample_normalized_mean_Q2Q3_summed_cov_dict = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_normalized_mean_Q2Q3_spec_cov_dict[sample_id] = seed.sample_mean_Q2Q3_spec_cov_dict[sample_id] * self.sample_normalization_multiplier_dict[sample_id]
-                sample_normalized_mean_Q2Q3_nonspec_cov_dict[sample_id] = seed.sample_mean_Q2Q3_nonspec_cov_dict[sample_id] * self.sample_normalization_multiplier_dict[sample_id]
-                sample_normalized_mean_Q2Q3_summed_cov_dict[sample_id] = seed.sample_mean_Q2Q3_summed_cov_dict[sample_id] * self.sample_normalization_multiplier_dict[sample_id]
-            seed.sample_normalized_mean_Q2Q3_spec_cov_dict = sample_normalized_mean_Q2Q3_spec_cov_dict
-            seed.sample_normalized_mean_Q2Q3_nonspec_cov_dict = sample_normalized_mean_Q2Q3_nonspec_cov_dict
-            seed.sample_normalized_mean_Q2Q3_summed_cov_dict = sample_normalized_mean_Q2Q3_summed_cov_dict
+                sample_normalized_mean_Q2Q3_specific_cov_dict[sample_id] = seed_seq.sample_mean_Q2Q3_specific_cov_dict[sample_id] * self.sample_normalization_multiplier_dict[sample_id]
+                sample_normalized_mean_Q2Q3_nonspecific_cov_dict[sample_id] = seed_seq.sample_mean_Q2Q3_nonspecific_cov_dict[sample_id] * self.sample_normalization_multiplier_dict[sample_id]
+                sample_normalized_mean_Q2Q3_summed_cov_dict[sample_id] = seed_seq.sample_mean_Q2Q3_summed_cov_dict[sample_id] * self.sample_normalization_multiplier_dict[sample_id]
+            seed_seq.sample_normalized_mean_Q2Q3_specific_cov_dict = sample_normalized_mean_Q2Q3_specific_cov_dict
+            seed_seq.sample_normalized_mean_Q2Q3_nonspecific_cov_dict = sample_normalized_mean_Q2Q3_nonspecific_cov_dict
+            seed_seq.sample_normalized_mean_Q2Q3_summed_cov_dict = sample_normalized_mean_Q2Q3_summed_cov_dict
 
 
     def set_sample_detections(self):
         """Find the proportion of each seed sequence covered by reads in a sample."""
-        for seed in self.seeds:
-            seed_length = len(seed.string)
-            sample_spec_detection_dict = {}
-            sample_nonspec_detection_dict = {}
+        for seed_seq in self.seed_seqs:
+            seed_seq_length = len(seed_seq.seq_string)
+            sample_specific_detection_dict = {}
+            sample_nonspecific_detection_dict = {}
             sample_summed_detection_dict = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_spec_detection_dict[sample_id] = seed.sample_spec_covs_dict[sample_id].nonzero()[0].size / seed_length
-                sample_nonspec_detection_dict[sample_id] = seed.sample_nonspec_covs_dict[sample_id].nonzero()[0].size / seed_length
-                sample_summed_detection_dict[sample_id] = seed.sample_summed_covs_dict[sample_id].nonzero()[0].size / seed_length
-            seed.sample_spec_detection_dict = sample_spec_detection_dict
-            seed.sample_nonspec_detection_dict = sample_nonspec_detection_dict
-            seed.sample_summed_detection_dict = sample_summed_detection_dict
+                sample_specific_detection_dict[sample_id] = seed_seq.sample_specific_covs_dict[sample_id].nonzero()[0].size / seed_seq_length
+                sample_nonspecific_detection_dict[sample_id] = seed_seq.sample_nonspecific_covs_dict[sample_id].nonzero()[0].size / seed_seq_length
+                sample_summed_detection_dict[sample_id] = seed_seq.sample_summed_covs_dict[sample_id].nonzero()[0].size / seed_seq_length
+            seed_seq.sample_specific_detection_dict = sample_specific_detection_dict
+            seed_seq.sample_nonspecific_detection_dict = sample_nonspecific_detection_dict
+            seed_seq.sample_summed_detection_dict = sample_summed_detection_dict
 
 
     def set_sample_relative_abundances(self):
@@ -6814,66 +6517,64 @@ def set_sample_relative_abundances(self):
         total coverage of the seed across samples -- relative abundances sum to one across
         samples."""
         np.seterr(invalid='ignore')
-        for seed in self.seeds:
-            sample_spec_rel_abund_dict = {}
-            sample_nonspec_rel_abund_dict = {}
-            sample_summed_rel_abund_dict = {}
-            pansample_normalized_mean_Q2Q3_spec_cov = sum(seed.sample_normalized_mean_Q2Q3_spec_cov_dict.values())
-            pansample_normalized_mean_Q2Q3_nonspec_cov = sum(seed.sample_normalized_mean_Q2Q3_nonspec_cov_dict.values())
-            pansample_normalized_mean_Q2Q3_summed_cov = sum(seed.sample_normalized_mean_Q2Q3_summed_cov_dict.values())
+        for seed_seq in self.seed_seqs:
+            sample_specific_relative_abundances_dict = {}
+            sample_nonspecific_relative_abundances_dict = {}
+            sample_summed_relative_abundances_dict = {}
+            pansample_normalized_mean_Q2Q3_specific_cov = sum(seed_seq.sample_normalized_mean_Q2Q3_specific_cov_dict.values())
+            pansample_normalized_mean_Q2Q3_nonspecific_cov = sum(seed_seq.sample_normalized_mean_Q2Q3_nonspecific_cov_dict.values())
+            pansample_normalized_mean_Q2Q3_summed_cov = sum(seed_seq.sample_normalized_mean_Q2Q3_summed_cov_dict.values())
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_spec_rel_abund_dict[sample_id] = seed.sample_normalized_mean_Q2Q3_spec_cov_dict[sample_id] / pansample_normalized_mean_Q2Q3_spec_cov
-                sample_nonspec_rel_abund_dict[sample_id] = seed.sample_normalized_mean_Q2Q3_nonspec_cov_dict[sample_id] / pansample_normalized_mean_Q2Q3_nonspec_cov
-                sample_summed_rel_abund_dict[sample_id] = seed.sample_normalized_mean_Q2Q3_summed_cov_dict[sample_id] / pansample_normalized_mean_Q2Q3_summed_cov
-            seed.sample_spec_rel_abund_dict = sample_spec_rel_abund_dict
-            seed.sample_nonspec_rel_abund_dict = sample_nonspec_rel_abund_dict
-            seed.sample_summed_rel_abund_dict = sample_summed_rel_abund_dict
+                sample_specific_relative_abundances_dict[sample_id] = seed_seq.sample_normalized_mean_Q2Q3_specific_cov_dict[sample_id] / pansample_normalized_mean_Q2Q3_specific_cov
+                sample_nonspecific_relative_abundances_dict[sample_id] = seed_seq.sample_normalized_mean_Q2Q3_nonspecific_cov_dict[sample_id] / pansample_normalized_mean_Q2Q3_nonspecific_cov
+                sample_summed_relative_abundances_dict[sample_id] = seed_seq.sample_normalized_mean_Q2Q3_summed_cov_dict[sample_id] / pansample_normalized_mean_Q2Q3_summed_cov
+            seed_seq.sample_specific_relative_abundances_dict = sample_specific_relative_abundances_dict
+            seed_seq.sample_nonspecific_relative_abundances_dict = sample_nonspecific_relative_abundances_dict
+            seed_seq.sample_summed_relative_abundances_dict = sample_summed_relative_abundances_dict
         np.seterr(invalid='warn')
 
 
     def set_sample_max_normalized_ratios(self):
         """The max normalized coverage ratio represents the coverage of the seed in one sample
-        relative to the max coverage amongst the samples -- one sample will always have a value
-        equal to 1."""
-        for seed in self.seeds:
-            sample_spec_max_normalized_ratio_dict = {}
-            sample_nonspec_max_normalized_ratio_dict = {}
+        relative to the maximum coverage amongst the samples -- one sample will always have a value
+        equal to one."""
+        for seed_seq in self.seed_seqs:
+            sample_specific_max_normalized_ratio_dict = {}
+            sample_nonspecific_max_normalized_ratio_dict = {}
             sample_summed_max_normalized_ratio_dict = {}
-            max_normalized_mean_Q2Q3_spec_cov = max(seed.sample_normalized_mean_Q2Q3_spec_cov_dict.values())
-            max_normalized_mean_Q2Q3_nonspec_cov = max(seed.sample_normalized_mean_Q2Q3_nonspec_cov_dict.values())
-            max_normalized_mean_Q2Q3_summed_cov = max(seed.sample_normalized_mean_Q2Q3_summed_cov_dict.values())
+            max_normalized_mean_Q2Q3_specific_cov = max(seed_seq.sample_normalized_mean_Q2Q3_specific_cov_dict.values())
+            max_normalized_mean_Q2Q3_nonspecific_cov = max(seed_seq.sample_normalized_mean_Q2Q3_nonspecific_cov_dict.values())
+            max_normalized_mean_Q2Q3_summed_cov = max(seed_seq.sample_normalized_mean_Q2Q3_summed_cov_dict.values())
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_spec_max_normalized_ratio_dict[sample_id] = seed.sample_normalized_mean_Q2Q3_spec_cov_dict[sample_id] / max_normalized_mean_Q2Q3_spec_cov if max_normalized_mean_Q2Q3_spec_cov else 0
-                sample_nonspec_max_normalized_ratio_dict[sample_id] = seed.sample_normalized_mean_Q2Q3_nonspec_cov_dict[sample_id] / max_normalized_mean_Q2Q3_nonspec_cov if max_normalized_mean_Q2Q3_nonspec_cov else 0
-                sample_summed_max_normalized_ratio_dict[sample_id] = seed.sample_normalized_mean_Q2Q3_summed_cov_dict[sample_id] / max_normalized_mean_Q2Q3_summed_cov if max_normalized_mean_Q2Q3_summed_cov else 0
-            seed.sample_spec_max_normalized_ratio_dict = sample_spec_max_normalized_ratio_dict
-            seed.sample_nonspec_max_normalized_ratio_dict = sample_nonspec_max_normalized_ratio_dict
-            seed.sample_summed_max_normalized_ratio_dict = sample_summed_max_normalized_ratio_dict
-
-
-    def set_variable_nucleotides_table_entries(self):
-        """Variable nucleotides in the profile databases are those with predicted
-        modification-induced substitutions, not single nucleotide variants. Subs are determined from
-        specific coverage and are currently only reported in the specific coverage profile database.
-        (Therefore, `anvi-interactive` does not display subs with "combined" or "summed" coverage
-        profile databases.)"""
+                sample_specific_max_normalized_ratio_dict[sample_id] = seed_seq.sample_normalized_mean_Q2Q3_specific_cov_dict[sample_id] / max_normalized_mean_Q2Q3_specific_cov if max_normalized_mean_Q2Q3_specific_cov else 0
+                sample_nonspecific_max_normalized_ratio_dict[sample_id] = seed_seq.sample_normalized_mean_Q2Q3_nonspecific_cov_dict[sample_id] / max_normalized_mean_Q2Q3_nonspecific_cov if max_normalized_mean_Q2Q3_nonspecific_cov else 0
+                sample_summed_max_normalized_ratio_dict[sample_id] = seed_seq.sample_normalized_mean_Q2Q3_summed_cov_dict[sample_id] / max_normalized_mean_Q2Q3_summed_cov if max_normalized_mean_Q2Q3_summed_cov else 0
+            seed_seq.sample_specific_max_normalized_ratio_dict = sample_specific_max_normalized_ratio_dict
+            seed_seq.sample_nonspecific_max_normalized_ratio_dict = sample_nonspecific_max_normalized_ratio_dict
+            seed_seq.sample_summed_max_normalized_ratio_dict = sample_summed_max_normalized_ratio_dict
+
+
+    def set_variable_nts_table_entries(self):
+        """Variable nucleotides in the profile databases are nucleotides with predicted
+        modifications, not single nucleotide variants. Modifications are determined from specific
+        coverage, but are displayed in nonspecific and summed profile databases as well."""
         entries = []
         for sample_id in self.trnaseq_db_sample_ids:
-            for seed_num, seed in enumerate(self.seeds):
-                spec_covs = seed.sample_spec_covs_dict[sample_id]
-                spec_nt_cov_arrays = seed.sample_spec_nt_covs_dict[sample_id]
-                for pos in seed.sample_sub_positions_dict[sample_id]:
-                    total_cov = spec_covs[pos]
-                    spec_nt_covs = [arr[pos] for arr in spec_nt_cov_arrays]
-                    max_nt_cov = max(spec_nt_covs)
-                    sorted_nt_covs = sorted(zip(UNAMBIG_NTS, spec_nt_covs), key=lambda nt_item: -nt_item[1])
+            for i, seed_seq in enumerate(self.seed_seqs):
+                specific_covs = seed_seq.sample_specific_covs_dict[sample_id]
+                specific_nt_cov_arrays = seed_seq.sample_specific_nt_covs_dict[sample_id]
+                for pos in seed_seq.sample_mod_positions_dict[sample_id]:
+                    total_cov = specific_covs[pos]
+                    specific_nt_covs = [arr[pos] for arr in specific_nt_cov_arrays]
+                    max_nt_cov = max(specific_nt_covs)
+                    sorted_nt_covs = sorted(zip(UNAMBIG_NTS, specific_nt_covs), key=lambda x: -x[1])
                     ref_nt = sorted_nt_covs[0][0]
                     secondary_nt = sorted_nt_covs[1][0]
                     entries.append((sample_id,
-                                    seed.name + '_split_00001',
+                                    seed_seq.name + '_split_00001',
                                     pos, # Position in split
                                     pos, # Position in contig
-                                    seed_num, # Corresponding gene call
+                                    i, # Corresponding gene call
                                     1, # In noncoding gene call
                                     0, # In coding gene call
                                     0, # Base position in codon (0 for noncoding gene call)
@@ -6884,26 +6585,26 @@ def set_variable_nucleotides_table_entries(self):
                                     1 - max_nt_cov / total_cov, # Departure from reference
                                     ref_nt + secondary_nt, # Competing nts (top 2)
                                     ref_nt,
-                                    spec_nt_covs[0], # A coverage
-                                    spec_nt_covs[1], # C coverage
-                                    spec_nt_covs[2], # G coverage
-                                    spec_nt_covs[3], # T coverage
+                                    specific_nt_covs[0], # A coverage
+                                    specific_nt_covs[1], # C coverage
+                                    specific_nt_covs[2], # G coverage
+                                    specific_nt_covs[3], # T coverage
                                     0))
         self.variable_nts_table_entries = entries
 
 
     def set_indels_table_entries(self):
         """Indels are determined separately from specific and nonspecific coverages."""
-        spec_entries = []
-        nonspec_entries = []
+        specific_entries = []
+        nonspecific_entries = []
         summed_entries = []
         min_indel_fraction = self.min_indel_fraction
         for sample_id in self.trnaseq_db_sample_ids:
-            for seed_num, seed in enumerate(self.seeds):
-                insert_info = seed.sample_insert_dict[sample_id]
-                del_info = seed.sample_del_dict[sample_id]
-                spec_covs = seed.sample_spec_covs_dict[sample_id]
-                nonspec_covs = seed.sample_nonspec_covs_dict[sample_id]
+            for seed_seq_index, seed_seq in enumerate(self.seed_seqs):
+                insert_info = seed_seq.sample_insert_dict[sample_id]
+                del_info = seed_seq.sample_del_dict[sample_id]
+                spec_covs = seed_seq.sample_specific_covs_dict[sample_id]
+                nonspec_covs = seed_seq.sample_nonspecific_covs_dict[sample_id]
 
                 for insert_start, insert_string, insert_spec_cov, insert_nonspec_cov in insert_info:
                     spec_cov = (spec_covs[insert_start] + spec_covs[insert_start + 1]) / 2
@@ -6912,61 +6613,61 @@ def set_indels_table_entries(self):
                     # but not the reference nucleotide.
                     insert_freq = 1 if spec_cov == 0 else insert_spec_cov / spec_cov
                     if insert_freq >= min_indel_fraction:
-                        spec_entries.append((sample_id,
-                                             seed.name + '_split_00001',
-                                             insert_start, # Position in split
-                                             insert_start, # Position in contig
-                                             seed_num, # Corresponding gene call
-                                             1, # In noncoding gene call
-                                             0, # In coding gene call
-                                             0, # Base position in codon (0 for noncoding gene call)
-                                             -1, # Codon order in gene (-1 for noncoding gene call)
-                                             0, # Coverage outlier in split (0 or 1)
-                                             0, # Coverage outlier in contig (0 or 1)
-                                             seed.string[insert_start], # Reference nt
-                                             'INS', # Type of indel
-                                             insert_string, # Indel sequence ('' for deletion)
-                                             len(insert_string), # Indel length
-                                             insert_spec_cov, # Deletion count (coverage)
-                                             spec_cov)) # Reference sequence coverage
+                        specific_entries.append((sample_id,
+                                                 seed_seq.name + '_split_00001',
+                                                 insert_start, # Position in split
+                                                 insert_start, # Position in contig
+                                                 seed_seq_index, # Corresponding gene call
+                                                 1, # In noncoding gene call
+                                                 0, # In coding gene call
+                                                 0, # Base position in codon (0 for noncoding gene call)
+                                                 -1, # Codon order in gene (-1 for noncoding gene call)
+                                                 0, # Coverage outlier in split (0 or 1)
+                                                 0, # Coverage outlier in contig (0 or 1)
+                                                 seed_seq.seq_string[insert_start], # Reference nt
+                                                 'INS', # Type of indel
+                                                 insert_string, # Indel sequence ('' for deletion)
+                                                 len(insert_string), # Indel length
+                                                 insert_spec_cov, # Deletion count (coverage)
+                                                 spec_cov)) # Reference sequence coverage
 
                     nonspec_cov = (nonspec_covs[insert_start] + nonspec_covs[insert_start + 1]) / 2
                     insert_freq = 1 if nonspec_cov == 0 else insert_nonspec_cov / nonspec_cov
                     if insert_freq >= min_indel_fraction:
-                        nonspec_entries.append((sample_id,
-                                                seed.name + '_split_00001',
-                                                insert_start,
-                                                insert_start,
-                                                seed_num,
-                                                1,
-                                                0,
-                                                0,
-                                                -1,
-                                                0,
-                                                0,
-                                                seed.string[insert_start],
-                                                'INS',
-                                                insert_string,
-                                                len(insert_string),
-                                                insert_nonspec_cov,
-                                                nonspec_cov))
+                        nonspecific_entries.append((sample_id,
+                                                    seed_seq.name + '_split_00001',
+                                                    insert_start,
+                                                    insert_start,
+                                                    seed_seq_index,
+                                                    1,
+                                                    0,
+                                                    0,
+                                                    -1,
+                                                    0,
+                                                    0,
+                                                    seed_seq.seq_string[insert_start],
+                                                    'INS',
+                                                    insert_string,
+                                                    len(insert_string),
+                                                    insert_nonspec_cov,
+                                                    nonspec_cov))
 
                     sum_cov = spec_cov + nonspec_cov
                     insert_sum_cov = insert_spec_cov + insert_nonspec_cov
                     insert_freq = 1 if sum_cov == 0 else insert_sum_cov / sum_cov
                     if insert_freq >= min_indel_fraction:
                         summed_entries.append((sample_id,
-                                               seed.name + '_split_00001',
+                                               seed_seq.name + '_split_00001',
                                                insert_start,
                                                insert_start,
-                                               seed_num,
+                                               seed_seq_index,
                                                1,
                                                0,
                                                0,
                                                -1,
                                                0,
                                                0,
-                                               seed.string[insert_start],
+                                               seed_seq.seq_string[insert_start],
                                                'INS',
                                                insert_string,
                                                len(insert_string),
@@ -6977,79 +6678,79 @@ def set_indels_table_entries(self):
                     spec_cov = spec_covs[del_start: del_start + del_length].mean()
                     del_freq = 1 if spec_cov == 0 else del_spec_cov / spec_cov
                     if del_freq >= min_indel_fraction:
-                        spec_entries.append((sample_id,
-                                             seed.name + '_split_00001',
-                                             del_start, # Position in split
-                                             del_start, # Position in contig
-                                             seed_num, # Corresponding gene call
-                                             1, # In noncoding gene call
-                                             0, # In coding gene call
-                                             0, # Base position in codon (0 for noncoding gene call)
-                                             -1, # Codon order in gene (-1 for noncoding gene call)
-                                             0, # Coverage outlier in split (0 or 1)
-                                             0, # Coverage outlier in contig (0 or 1)
-                                             seed.string[del_start], # Reference nt
-                                             'DEL', # Type of indel
-                                             '', # Indel sequence ('' for deletion)
-                                             del_length, # Indel length
-                                             del_spec_cov, # Deletion count (coverage)
-                                             spec_cov)) # Reference sequence coverage
+                        specific_entries.append((sample_id,
+                                                 seed_seq.name + '_split_00001',
+                                                 del_start, # Position in split
+                                                 del_start, # Position in contig
+                                                 seed_seq_index, # Corresponding gene call
+                                                 1, # In noncoding gene call
+                                                 0, # In coding gene call
+                                                 0, # Base position in codon (0 for noncoding gene call)
+                                                 -1, # Codon order in gene (-1 for noncoding gene call)
+                                                 0, # Coverage outlier in split (0 or 1)
+                                                 0, # Coverage outlier in contig (0 or 1)
+                                                 seed_seq.seq_string[del_start], # Reference nt
+                                                 'DEL', # Type of indel
+                                                 '', # Indel sequence ('' for deletion)
+                                                 del_length, # Indel length
+                                                 del_spec_cov, # Deletion count (coverage)
+                                                 spec_cov)) # Reference sequence coverage
 
                     nonspec_cov = nonspec_covs[del_start: del_start + del_length].mean()
                     del_freq = 1 if nonspec_cov == 0 else del_nonspec_cov / nonspec_cov
                     if del_freq >= min_indel_fraction:
-                        nonspec_entries.append((sample_id,
-                                                seed.name + '_split_00001',
-                                                del_start,
-                                                del_start,
-                                                seed_num,
-                                                1,
-                                                0,
-                                                0,
-                                                -1,
-                                                0,
-                                                0,
-                                                seed.string[del_start],
-                                                'DEL',
-                                                '',
-                                                del_length,
-                                                del_nonspec_cov,
-                                                nonspec_cov))
+                        nonspecific_entries.append((sample_id,
+                                                    seed_seq.name + '_split_00001',
+                                                    del_start,
+                                                    del_start,
+                                                    seed_seq_index,
+                                                    1,
+                                                    0,
+                                                    0,
+                                                    -1,
+                                                    0,
+                                                    0,
+                                                    seed_seq.seq_string[del_start],
+                                                    'DEL',
+                                                    '',
+                                                    del_length,
+                                                    del_nonspec_cov,
+                                                    nonspec_cov))
 
                     sum_cov = spec_cov + nonspec_cov
                     del_sum_cov = del_spec_cov + del_nonspec_cov
                     del_freq = 1 if sum_cov == 0 else del_sum_cov / sum_cov
                     if del_freq >= min_indel_fraction:
                         summed_entries.append((sample_id,
-                                               seed.name + '_split_00001',
+                                               seed_seq.name + '_split_00001',
                                                del_start,
                                                del_start,
-                                               seed_num,
+                                               seed_seq_index,
                                                1,
                                                0,
                                                0,
                                                -1,
                                                0,
                                                0,
-                                               seed.string[del_start],
+                                               seed_seq.seq_string[del_start],
                                                'DEL',
                                                '',
                                                del_length,
                                                del_sum_cov,
                                                sum_cov))
-        self.spec_indels_table_entries = spec_entries
-        self.nonspec_indels_table_entries = nonspec_entries
+        self.specific_indels_table_entries = specific_entries
+        self.nonspecific_indels_table_entries = nonspecific_entries
         self.summed_indels_table_entries = summed_entries
 
 
-    def generate_profile_database(self, db_cov_type):
+    def gen_profile_db(self, db_cov_type):
         self.progress.new(f"Generating {db_cov_type} profile db")
         self.progress.update("...")
 
         if db_cov_type == 'specific':
-            profile_db_path = self.spec_profile_db_path
+            profile_db_path = self.specific_profile_db_path
         elif db_cov_type == 'nonspecific':
-            profile_db_path = self.nonspec_profile_db_path
+            profile_db_path = self.nonspecific_profile_db_path
         elif db_cov_type == 'combined':
             profile_db_path = self.combined_profile_db_path
         elif db_cov_type == 'summed':
@@ -7061,49 +6762,44 @@ def generate_profile_database(self, db_cov_type):
         profile_db = dbops.ProfileDatabase(profile_db_path)
         profile_db.touch()
 
-        set_meta_value = profile_db.db.set_meta_value
         # Profile database meta-values are set in a parallel fashion to `merger.MultipleRuns.merge`.
-        set_meta_value('creation_date', time.time())
-        set_meta_value('db_type', 'profile')
-        set_meta_value('db_variant', 'trnaseq')
+        profile_db.db.set_meta_value('creation_date', time.time())
+        profile_db.db.set_meta_value('db_type', 'profile')
 
         contigs_db = dbops.ContigsDatabase(self.contigs_db_path, quiet=True)
-        set_meta_value('contigs_db_hash', contigs_db.meta['contigs_db_hash'])
-        set_meta_value('sample_id', contigs_db.meta['project_name'])
+        profile_db.db.set_meta_value('contigs_db_hash', contigs_db.meta['contigs_db_hash'])
+        profile_db.db.set_meta_value('sample_id', contigs_db.meta['project_name'])
         contigs_db.disconnect()
 
         if db_cov_type == 'combined':
-            set_meta_value('samples', ', '.join([sample_id + '_' + cov_type
-                                                 for sample_id in self.trnaseq_db_sample_ids
-                                                 for cov_type in ('specific', 'nonspecific')]))
+            profile_db.db.set_meta_value('samples', ', '.join([sample_id + '_' + cov_type
+                                                               for sample_id in self.trnaseq_db_sample_ids
+                                                               for cov_type in ('specific', 'nonspecific')]))
         else:
-            set_meta_value('samples', ', '.join([sample_id for sample_id in self.trnaseq_db_sample_ids]))
-        if db_cov_type == 'specific':
-            set_meta_value('sample_total_mean_specific_coverage', ', '.join(map(str, [round(self.sample_total_mean_spec_cov_dict[sample_id], 1)
-                                                                                      for sample_id in self.trnaseq_db_sample_ids])))
-            set_meta_value('sample_total_discriminator_specific_coverage', ', '.join(map(str, [self.sample_total_discriminator_spec_cov_dict[sample_id]
-                                                                                               for sample_id in self.trnaseq_db_sample_ids])))
-        # The total number of reads "mapped" is not calculated due to various complexities.
-        # set_meta_value('total_reads_mapped', -1)
-        set_meta_value('merged', True)
-        set_meta_value('blank', False)
-        set_meta_value('default_view', 'mean_coverage')
-        set_meta_value('min_contig_length', 1)
-        set_meta_value('max_contig_length', MAXSIZE)
-        set_meta_value('SNVs_profiled', False)
-        set_meta_value('SCVs_profiled', False)
-        set_meta_value('INDELs_profiled', False)
-        set_meta_value('num_contigs', len(self.seeds))
-        set_meta_value('num_splits', len(self.seeds))
-        set_meta_value('total_length', self.total_seed_length)
-        set_meta_value('min_coverage_for_variability', 1)
-        set_meta_value('min_indel_fraction', 0)
-        set_meta_value('report_variability_full', False)
-        set_meta_value('description', self.descrip if self.descrip else '_No description is provided_')
-        # set_meta_value('min_percent_identity', -1)
-
-        # Whereas variability in metagenomics refers to SNVs, here it refers to inferred
-        # modification-induced substitutions. Subs are only identified from specific coverage.
+            profile_db.db.set_meta_value('samples', ', '.join([sample_id for sample_id in self.trnaseq_db_sample_ids]))
+        # The total number of reads mapped is not calculated, as that would require deconvoluting
+        # the number of reads that mapped nonspecifically. Also, the total number of mapped reads is
+        # less informative here than in metagenomics, since they vary greatly in length.
+        # profile_db.db.set_meta_value('total_reads_mapped', -1)
+        profile_db.db.set_meta_value('merged', True)
+        profile_db.db.set_meta_value('blank', False)
+        profile_db.db.set_meta_value('default_view', 'mean_coverage')
+        profile_db.db.set_meta_value('min_contig_length', 1)
+        profile_db.db.set_meta_value('max_contig_length', MAXSIZE)
+        profile_db.db.set_meta_value('SNVs_profiled', False)
+        profile_db.db.set_meta_value('SCVs_profiled', False)
+        profile_db.db.set_meta_value('INDELs_profiled', False)
+        profile_db.db.set_meta_value('num_contigs', len(self.seed_seqs))
+        profile_db.db.set_meta_value('num_splits', len(self.seed_seqs))
+        profile_db.db.set_meta_value('total_length', self.total_seed_length)
+        profile_db.db.set_meta_value('min_coverage_for_variability', 1)
+        profile_db.db.set_meta_value('min_indel_fraction', 0)
+        profile_db.db.set_meta_value('report_variability_full', False)
+        profile_db.db.set_meta_value('description', self.descrip if self.descrip else '_No description is provided_')
+        # profile_db.db.set_meta_value('min_percent_identity', -1)
+
+        # Whereas variability in metagenomics refers to SNVs, here it refers to modifications.
+        # Modifications are only identified from specific coverage.
         if db_cov_type == 'specific':
             profile_db.db._exec_many('''INSERT INTO %s VALUES (%s)'''
                                      % ('variable_nucleotides', ','.join('?' * len(tables.variable_nts_table_structure))),
@@ -7111,44 +6807,44 @@ def generate_profile_database(self, db_cov_type):
             profile_db.db.commit()
 
         if db_cov_type == 'specific' or db_cov_type == 'nonspecific' or db_cov_type == 'summed':
-            tables_to_create = [('sample_mean_' + db_cov_type.replace('specific', 'spec') + '_cov_dict', 'mean_coverage'),
-                                ('sample_std_' + db_cov_type.replace('specific', 'spec') + '_cov_dict', 'std_coverage'),
-                                ('sample_' + db_cov_type.replace('specific', 'spec') + '_abund_dict', 'abundance'),
-                                ('sample_' + db_cov_type.replace('specific', 'spec') + '_detection_dict', 'detection'),
-                                ('sample_mean_Q2Q3_' + db_cov_type.replace('specific', 'spec') + '_cov_dict', 'mean_coverage_Q2Q3')]
+            tables_to_create = [('sample_mean_' + db_cov_type + '_cov_dict', 'mean_coverage'),
+                                ('sample_std_' + db_cov_type + '_cov_dict', 'std_coverage'),
+                                ('sample_' + db_cov_type + '_abundances_dict', 'abundance'),
+                                ('sample_' + db_cov_type + '_detection_dict', 'detection'),
+                                ('sample_mean_Q2Q3_' + db_cov_type + '_cov_dict', 'mean_coverage_Q2Q3')]
 
             for attr, table_basename in tables_to_create:
                 data_dict = self.get_specific_nonspecific_or_summed_data_dict(attr)
-                self.create_contigs_and_splits_tables(profile_db_path, table_basename, data_dict)
-            # Variability is the measure of the frequency of inferred modification-induced
-            # substitutions in seeds. Subs are only calculated from specific coverage -- nonspecific
-            # coverage is ignored.
+                self.create_specific_nonspecific_or_summed_contigs_and_splits_tables(profile_db_path, table_basename, data_dict)
+
+            # Variability is the measure of the frequency of modification-induced substitutions in
+            # seeds. Subs are only calculated from specific coverage -- nonspecific coverage is ignored.
             variability_data_dict = self.get_specific_nonspecific_or_summed_data_dict('sample_variability_dict')
-            self.create_contigs_and_splits_tables(profile_db_path, 'variability', data_dict)
+            self.create_specific_nonspecific_or_summed_contigs_and_splits_tables(profile_db_path, 'variability', variability_data_dict)
 
             profile_db.db._exec_many('''INSERT INTO %s VALUES (%s)'''
                                      % ('indels', ','.join('?' * len(tables.indels_table_structure))),
-                                     getattr(self, db_cov_type.replace('specific', 'spec') + '_indels_table_entries'))
+                                     getattr(self, db_cov_type + '_indels_table_entries'))
         elif db_cov_type == 'combined':
-            tables_to_create = [('sample_mean_spec_cov_dict', 'sample_mean_nonspec_cov_dict', 'mean_coverage'),
-                                ('sample_std_spec_cov_dict', 'sample_std_nonspec_cov_dict', 'std_coverage'),
-                                ('sample_spec_abund_dict', 'sample_nonspec_abund_dict', 'abundance'),
-                                ('sample_spec_detection_dict', 'sample_nonspec_detection_dict', 'detection'),
-                                ('sample_mean_Q2Q3_spec_cov_dict', 'sample_mean_Q2Q3_nonspec_cov_dict', 'mean_coverage_Q2Q3')]
-
-            for spec_attr, nonspec_attr, table_basename in tables_to_create:
-                data_dict = self.get_combined_data_dict(spec_attr, nonspec_attr)
-                self.create_contigs_and_splits_tables(profile_db_path, table_basename, data_dict)
-            # Variability is the measure of the frequency of inferred modification-induced
-            # substitutions in seeds. Subs are only calculated from specific coverage -- nonspecific
-            # coverage is ignored.
+            tables_to_create = [('sample_mean_specific_cov_dict', 'sample_mean_nonspecific_cov_dict', 'mean_coverage'),
+                                ('sample_std_specific_cov_dict', 'sample_std_nonspecific_cov_dict', 'std_coverage'),
+                                ('sample_specific_abundances_dict', 'sample_nonspecific_abundances_dict', 'abundance'),
+                                ('sample_specific_detection_dict', 'sample_nonspecific_detection_dict', 'detection'),
+                                ('sample_mean_Q2Q3_specific_cov_dict', 'sample_mean_Q2Q3_nonspecific_cov_dict', 'mean_coverage_Q2Q3')]
+
+            for specific_attr, nonspecific_attr, table_basename in tables_to_create:
+                data_dict = self.get_combined_data_dict(specific_attr, nonspecific_attr)
+                self.create_combined_contigs_and_splits_tables(profile_db_path, table_basename, data_dict)
+
+            # Variability is the measure of the frequency of modification-induced substitutions in
+            # seeds. Subs are only calculated from specific coverage -- nonspecific coverage is ignored.
             variability_data_dict = self.get_combined_data_dict('sample_variability_dict', 'sample_variability_dict')
-            self.create_contigs_and_splits_tables(profile_db_path, 'variability', data_dict)
+            self.create_combined_contigs_and_splits_tables(profile_db_path, 'variability', variability_data_dict)
 
             combined_indels_table_entries = []
-            for entry in self.spec_indels_table_entries:
+            for entry in self.specific_indels_table_entries:
                 combined_indels_table_entries.append((entry[0] + '_specific', ) + entry[1: ])
-            for entry in self.nonspec_indels_table_entries:
+            for entry in self.nonspecific_indels_table_entries:
                 combined_indels_table_entries.append((entry[0] + '_nonspecific', ) + entry[1: ])
             profile_db.db._exec_many('''INSERT INTO %s VALUES (%s)'''
                                      % ('indels', ','.join('?' * len(tables.indels_table_structure))),
@@ -7160,15 +6856,15 @@ def generate_profile_database(self, db_cov_type):
         # Add layers for anticodon and corresponding amino acid.
         items_additional_data_table = miscdata.MiscDataTableFactory(argparse.Namespace(profile_db=profile_db_path, target_data_table='items'))
         data_dict = {}
-        for seed in self.seeds:
-            data_dict[seed.name + '_split_00001'] = {'anticodon': seed.anticodon_string,
-                                                     'amino_acid': ANTICODON_AA_DICT[seed.anticodon_string]}
+        for seed_seq in self.seed_seqs:
+            data_dict[seed_seq.name + '_split_00001'] = {'anticodon': seed_seq.anticodon_seq_string,
+                                                         'amino_acid': ANTICODON_AA_DICT[seed_seq.anticodon_seq_string]}
         items_additional_data_table.add(data_dict, ['anticodon', 'amino_acid'])
 
         # Cluster tRNA seeds to form the central dendrogram in anvi-interactive.
         dbops.do_hierarchical_clustering_of_items(profile_db_path,
                                                   constants.clustering_configs['trnaseq'],
-                                                  [seed.name + '_split_00001' for seed in self.seeds],
+                                                  [seed_seq.name + '_split_00001' for seed_seq in self.seed_seqs],
                                                   {'CONTIGS.db': self.contigs_db_path, 'PROFILE.db': profile_db_path},
                                                   input_directory=os.path.dirname(profile_db_path),
                                                   default_clustering_config=constants.trnaseq_default,
@@ -7176,7 +6872,7 @@ def generate_profile_database(self, db_cov_type):
                                                   linkage=self.linkage,
                                                   run=self.run,
                                                   progress=self.progress)
-        set_meta_value('items_ordered', True)
+        profile_db.db.set_meta_value('items_ordered', True)
         profile_db.db.disconnect()
 
         # Cluster samples by "view" data to find possible sample layer orderings.
@@ -7194,44 +6890,50 @@ def generate_profile_database(self, db_cov_type):
             except:
                 failed_attempts.append(essential_field)
         if not len(layer_orders_data_dict):
-            self.run.warning("This may or may not be important: "
-                             "anvi'o attempted to generate orders for your samples based on the view data. It failed :/")
+            self.run.warning("This may or may not be important: anvi'o attempted to generate orders for your "
+                             "samples based on the view data, however, it failed :/")
             return
         if len(failed_attempts):
-            self.run.warning(f"While anvi'o was trying to generate clusterings of samples based on view data available in the {db_cov_type} profile, "
-                             "clustering of some of the essential data failed. "
-                             "It is likely not a very big deal, but you shall be the judge of it. "
-                             "Anvi'o now proceeds to store layers order information for those view items the clustering in fact worked. "
-                             f"Here is the list of stuff that failed: '{', '.join(failed_attempts)}'")
+            self.run.warning("While anvi'o was trying to generate clusterings of samples based on view data "
+                             f"available in the {db_cov_type} profile, clustering of some of the essential data "
+                             "failed. It is likely not a very big deal, but you shall be the judge of it. "
+                             "Anvi'o now proceeds to store layers order information for those view items "
+                             "the clustering in fact worked. Here is the list of stuff that failed: '%s'"\
+                              % (', '.join(failed_attempts)))
         # Add the layer orders quietly.
         TableForLayerOrders(argparse.Namespace(profile_db=profile_db_path), r=terminal.Run(verbose=False)).add(layer_orders_data_dict)
 
 
-    def get_specific_nonspecific_or_summed_data_dict(self, seed_attr):
-        """Get data from seeds to generate a table in a specific, nonspecific, or summed profile
-        database."""
+    def get_specific_nonspecific_or_summed_data_dict(self, seed_seq_attr):
+        """Get data from seed sequences to generate a table in a specific, nonspecific, or summed
+        profile database."""
         data_dict = {}
-        for seed in self.seeds:
-            data_dict[seed.name + '_split_00001'] = sample_dict = {}
+        for seed_seq in self.seed_seqs:
+            seed_seq_name = seed_seq.name
+            seed_seq_split_name = seed_seq_name + '_split_00001'
+            data_dict[seed_seq_split_name] = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_dict[sample_id] = getattr(seed, seed_attr)[sample_id]
+                data_dict[seed_seq_split_name][sample_id] = getattr(seed_seq, seed_seq_attr)[sample_id]
         return data_dict
 
 
-    def get_combined_data_dict(self, spec_seed_attr, nonspec_seed_attr):
-        """Get data from seeds to generate a table in a combined profile database."""
+    def get_combined_data_dict(self, specific_seed_seq_attr, nonspecific_seed_seq_attr):
+        """Get data from seed sequences to generate a table in a combined profile database."""
         data_dict = {}
-        for seed in self.seeds:
-            data_dict[seed.name + '_split_00001'] = sample_dict = {}
+        for seed_seq in self.seed_seqs:
+            seed_seq_name = seed_seq.name
+            seed_seq_split_name = seed_seq_name + '_split_00001'
+            data_dict[seed_seq_name + '_split_00001'] = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_dict[sample_id + '_specific'] = getattr(seed, spec_seed_attr)[sample_id]
-                sample_dict[sample_id + '_nonspecific'] = getattr(seed, nonspec_seed_attr)[sample_id]
+                data_dict[seed_seq_split_name][sample_id + '_specific'] = getattr(seed_seq, specific_seed_seq_attr)[sample_id]
+                data_dict[seed_seq_split_name][sample_id + '_nonspecific'] = getattr(seed_seq, nonspecific_seed_seq_attr)[sample_id]
         return data_dict
 
 
-    def create_contigs_and_splits_tables(self, profile_db_path, table_basename, data_dict):
-        """Create a pair of tables in a profile database. Contigs and splits tables contain the same
-        information since tRNA, unlike a metagenomic contig, is not long enough to be split."""
+    def create_specific_nonspecific_or_summed_contigs_and_splits_tables(self, profile_db_path, table_basename, data_dict):
+        """Create a pair of tables in a specific, nonspecific, or summed profile database. Contigs
+        and splits tables contain the same information since tRNA, unlike a metagenomic contig, is
+        not long enough to be split."""
         TablesForViews(profile_db_path).create_new_view(
             view_data=data_dict,
             table_name=table_basename + '_contigs',
@@ -7244,1152 +6946,26 @@ def create_contigs_and_splits_tables(self, profile_db_path, table_basename, data
             from_matrix_form=True)
 
 
-def trnaseq_db_loader(input_queue, output_queue_Nu_summaries, output_queue_M_summaries, db_merger):
-    """This client for `DatabaseMerger.load_trnaseq_database_sequence_summaries` is located outside the
-    `DatabaseMerger` class to allow multiprocessing."""
-    while True:
-        trnaseq_db_path = input_queue.get()
-        summaries_Nu, summaries_M = db_merger.load_trnaseq_database_sequence_summaries(trnaseq_db_path)
-        for summary_Nu in summaries_Nu:
-            output_queue_Nu_summaries.put((trnaseq_db_path, summary_Nu))
-        for summary_M in summaries_M:
-            output_queue_M_summaries.put((trnaseq_db_path, summary_M))
-        output_queue_Nu_summaries.put(trnaseq_db_path)
-        output_queue_M_summaries.put(trnaseq_db_path)
-
-
-class ResultTabulator(object):
-
-    def __init__(self, args, run=terminal.Run(), progress=terminal.Progress()):
-        self.run = run
-        self.progress = progress
-
-        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
-        # Group 1: MANDATORY
-        self.contigs_db_path = A('contigs_db')
-        self.spec_profile_db_path = A('specific_profile_db')
-        # Group 2: OPTIONAL
-        self.nonspec_profile_db_path = A('nonspecific_profile_db')
-        self.out_dir = os.path.abspath(A('output_dir')) if A('output_dir') else os.path.dirname(self.contigs_db_path)
-        self.overwrite_out_dest = A('overwrite_output_destinations')
-
-        if not self.contigs_db_path:
-            raise ConfigError("Please provide the path to a `trnaseq`-variant contigs database using `--contigs-db` or `-c`.")
-        if not self.spec_profile_db_path:
-            raise ConfigError("Please provide the path to a profile database containing specific coverage information on tRNA seeds using `--specific-profile-db` or `-s`.")
-
-
-    def process(self):
-        self.sanity_check()
-        self.contigs_db = dbops.ContigsDatabase(self.contigs_db_path, quiet=True)
-        self.contig_names = self.contigs_db.db.get_single_column_from_table(tables.genes_in_contigs_table_name, 'contig')
-
-        self.set_ordinal_features()
-        self.generate_seed_output()
-        self.generate_modification_output()
-
-        self.contigs_db.disconnect()
-
-
-    def sanity_check(self):
-        """Check `anvi-tabulate-trnaseq` arguments."""
-        self.contigs_db_info = DBInfo(self.contigs_db_path, expecting='contigs')
-        if self.contigs_db_info.variant != 'trnaseq':
-            raise ConfigError("The input contigs database is not of the `trnaseq` variant...")
-
-        self.spec_profile_db_info = DBInfo(self.spec_profile_db_path, expecting='profile')
-        self.nonspec_profile_db_info = DBInfo(self.nonspec_profile_db_path, expecting='profile') if self.nonspec_profile_db_path else None
-        self.spec_aux_db_path = os.path.join(os.path.dirname(self.spec_profile_db_path), 'AUXILIARY-DATA.db')
-        self.spec_aux_db_info = DBInfo(self.spec_aux_db_path, expecting='auxiliary data for coverages')
-        self.nonspec_aux_db_path = os.path.join(os.path.dirname(self.nonspec_profile_db_path), 'AUXILIARY-DATA.db') if self.nonspec_profile_db_path else None
-        if self.nonspec_aux_db_path:
-            nonspec_aux_db_info = DBInfo(self.nonspec_aux_db_path, expecting='auxiliary data for coverages')
-
-        filesnpaths.is_output_dir_writable(self.out_dir)
-
-        self.spec_seed_out_path = os.path.join(self.out_dir, 'SEEDS_SPECIFIC.txt')
-        filesnpaths.is_output_file_writable(self.spec_seed_out_path, ok_if_exists=self.overwrite_out_dest)
-        if os.path.exists(self.spec_seed_out_path) and self.overwrite_out_dest:
-            os.remove(self.spec_seed_out_path)
-
-        self.nonspec_seed_out_path = os.path.join(self.out_dir, 'SEEDS_NONSPECIFIC.txt') if self.nonspec_profile_db_path else None
-        if self.nonspec_seed_out_path:
-            filesnpaths.is_output_file_writable(self.nonspec_seed_out_path, ok_if_exists=self.overwrite_out_dest)
-            if os.path.exists(self.nonspec_seed_out_path) and self.overwrite_out_dest:
-                os.remove(self.nonspec_seed_out_path)
-
-        self.mod_out_path = os.path.join(self.out_dir, 'MODIFICATIONS.txt')
-        filesnpaths.is_output_file_writable(self.mod_out_path, ok_if_exists=self.overwrite_out_dest)
-        if os.path.exists(self.mod_out_path) and self.overwrite_out_dest:
-            os.remove(self.mod_out_path)
-
-
-    def set_ordinal_features(self):
-        # The term "feature" is used loosely in the following dict, as it separates out "subfeatures" of the
-        # features just listed, e.g., `d_loop` is split into `d_loop_prealpha`, `d_loop_alpha`, etc.
-        self.pretty_ordinal_extrema_dict = OrderedDict([('trna_his_position_0_start', 101),
-                                                        ('trna_his_position_0_stop', 101),
-                                                        ('fiveprime_acceptor_stem_sequence_start', 201),
-                                                        ('fiveprime_acceptor_stem_sequence_stop', 207),
-                                                        ('position_8_start', 301),
-                                                        ('position_8_stop', 301),
-                                                        ('position_9_start', 401),
-                                                        ('position_9_stop', 401),
-                                                        ('fiveprime_d_stem_sequence_start', 501),
-                                                        ('fiveprime_d_stem_sequence_stop', 504),
-                                                        ('d_loop_prealpha_start', 601),
-                                                        ('d_loop_prealpha_stop', 602),
-                                                        ('d_loop_alpha_start', 701),
-                                                        ('d_loop_alpha_stop', 703), # variable: default α length range 1-3
-                                                        ('d_loop_postalpha_start', 801),
-                                                        ('d_loop_postalpha_stop', 802),
-                                                        ('d_loop_beta_start', 901),
-                                                        ('d_loop_beta_stop', 903), # variable: default β length range 1-3
-                                                        ('d_loop_postbeta_start', 1001),
-                                                        ('d_loop_postbeta_stop', 1001),
-                                                        ('threeprime_d_stem_sequence_start', 1101),
-                                                        ('threeprime_d_stem_sequence_stop', 1104),
-                                                        ('position_26_start', 1201),
-                                                        ('position_26_stop', 1201),
-                                                        ('fiveprime_anticodon_stem_sequence_start', 1301),
-                                                        ('fiveprime_anticodon_stem_sequence_stop', 1305),
-                                                        ('anticodon_loop_start', 1401),
-                                                        ('anticodon_loop_stop', 1407),
-                                                        ('threeprime_anticodon_stem_sequence_start', 1501),
-                                                        ('threeprime_anticodon_stem_sequence_stop', 1505),
-                                                        ('v_loop_start', 1601),
-                                                        ('v_loop_stop', 1623), # variable: default V loop length range 4-5; 9-23
-                                                        ('fiveprime_t_stem_sequence_start', 1701),
-                                                        ('fiveprime_t_stem_sequence_stop', 1705),
-                                                        ('t_loop_start', 1801),
-                                                        ('t_loop_stop', 1807),
-                                                        ('threeprime_t_stem_sequence_start', 1901),
-                                                        ('threeprime_t_stem_sequence_stop', 1905),
-                                                        ('threeprime_acceptor_stem_sequence_start', 2001),
-                                                        ('threeprime_acceptor_stem_sequence_stop', 2007),
-                                                        ('discriminator_start', 2101),
-                                                        ('discriminator_stop', 2101)])
-        self.ordinal_extrema_dict = ordinal_extrema_dict = OrderedDict()
-        self.ordinal_dict = ordinal_dict = OrderedDict()
-        rank = 1
-        for feature_item in zip(list(self.pretty_ordinal_extrema_dict.items())[::2],
-                                list(self.pretty_ordinal_extrema_dict.items())[1::2]):
-            ordinal_extrema_dict[feature_item[0][0]] = rank
-            ordinal_extrema_dict[feature_item[1][0]] = rank + feature_item[1][1] - feature_item[0][1]
-            feature_name = feature_item[0][0].split('_start')[0]
-            for feature_index in range(1, feature_item[1][1] - feature_item[0][1] + 2):
-                ordinal_dict[feature_name + '_' + str(feature_index)] = rank
-                rank += 1
-        self.reverse_ordinal_dict = OrderedDict([(rank, ordinal_name) for ordinal_name, rank in ordinal_dict.items()])
-
-        d_loop_alpha_entries = [('d_loop_alpha_' + str(feature_index), str(feature_index + 15)) for feature_index
-                                in range(1, ordinal_extrema_dict['d_loop_alpha_stop'] - ordinal_extrema_dict['d_loop_alpha_start'] + 2)]
-        if len(d_loop_alpha_entries) > 2:
-            d_loop_alpha_entries[2] = ('d_loop_alpha_3', '17a')
-        if len(d_loop_alpha_entries) > 3:
-            for entry_index, entry in d_loop_alpha_entries[3: ]:
-                d_loop_alpha_entries[entry_index] = (entry[0], '')
-        d_loop_beta_entries = [('d_loop_beta_' + str(feature_index), str(feature_index + 19)) for feature_index
-                                in range(1, ordinal_extrema_dict['d_loop_beta_stop'] - ordinal_extrema_dict['d_loop_beta_start'] + 2)]
-        if len(d_loop_beta_entries) > 1:
-            d_loop_beta_entries[1] = ('d_loop_beta_2', '20a')
-        if len(d_loop_beta_entries) > 2:
-            d_loop_beta_entries[2] = ('d_loop_beta_3', '20b')
-        if len(d_loop_beta_entries) > 3:
-            for entry_index, entry in d_loop_beta_entries[3: ]:
-                d_loop_beta_entries[entry_index] = (entry[0], '')
-        self.canonical_dict = OrderedDict([('trna_his_position_0_1', '0')] +
-                                          [('fiveprime_acceptor_stem_sequence_' + str(feature_index), str(feature_index)) for feature_index
-                                           in range(1, ordinal_extrema_dict['fiveprime_acceptor_stem_sequence_stop'] - ordinal_extrema_dict['fiveprime_acceptor_stem_sequence_start'] + 2)] +
-                                          [('position_8_1', '8'),
-                                           ('position_9_1', '9')] +
-                                          [('fiveprime_d_stem_sequence_' + str(feature_index), str(feature_index + 9)) for feature_index
-                                           in range(1, ordinal_extrema_dict['fiveprime_d_stem_sequence_stop'] - ordinal_extrema_dict['fiveprime_d_stem_sequence_start'] + 2)] +
-                                          [('d_loop_prealpha_' + str(feature_index), str(feature_index + 13)) for feature_index
-                                           in range(1, ordinal_extrema_dict['d_loop_prealpha_stop'] - ordinal_extrema_dict['d_loop_prealpha_start'] + 2)] +
-                                          d_loop_alpha_entries +
-                                          [('d_loop_postalpha_' + str(feature_index), str(feature_index + 17)) for feature_index
-                                           in range(1, ordinal_extrema_dict['d_loop_postalpha_stop'] - ordinal_extrema_dict['d_loop_postalpha_start'] + 2)] +
-                                          d_loop_beta_entries +
-                                          [('d_loop_postbeta_' + str(feature_index), str(feature_index + 20)) for feature_index
-                                           in range(1, ordinal_extrema_dict['d_loop_postbeta_stop'] - ordinal_extrema_dict['d_loop_postbeta_start'] + 2)] +
-                                          [('threeprime_d_stem_sequence_' + str(feature_index), str(feature_index + 21)) for feature_index
-                                           in range(1, ordinal_extrema_dict['threeprime_d_stem_sequence_stop'] - ordinal_extrema_dict['threeprime_d_stem_sequence_start'] + 2)] +
-                                          [('position_26_1', '26')] +
-                                          [('fiveprime_anticodon_stem_sequence_' + str(feature_index), str(feature_index + 26)) for feature_index
-                                           in range(1, ordinal_extrema_dict['fiveprime_anticodon_stem_sequence_stop'] - ordinal_extrema_dict['fiveprime_anticodon_stem_sequence_start'] + 2)] +
-                                          [('anticodon_loop_' + str(feature_index), str(feature_index + 31)) for feature_index
-                                           in range(1, ordinal_extrema_dict['anticodon_loop_stop'] - ordinal_extrema_dict['anticodon_loop_start'] + 2)] +
-                                          [('threeprime_anticodon_stem_sequence_' + str(feature_index), str(feature_index + 38)) for feature_index
-                                           in range(1, ordinal_extrema_dict['threeprime_anticodon_stem_sequence_stop'] - ordinal_extrema_dict['threeprime_anticodon_stem_sequence_start'] + 2)] +
-                                          [('v_loop_' + str(feature_index), '') for feature_index in range(1, ordinal_extrema_dict['v_loop_stop'] - ordinal_extrema_dict['v_loop_start'] + 2)] +
-                                          [('fiveprime_t_stem_sequence_' + str(feature_index), str(feature_index + 48)) for feature_index
-                                           in range(1, ordinal_extrema_dict['fiveprime_t_stem_sequence_stop'] - ordinal_extrema_dict['fiveprime_t_stem_sequence_start'] + 2)] +
-                                          [('t_loop_' + str(feature_index), str(feature_index + 53)) for feature_index
-                                           in range(1, ordinal_extrema_dict['t_loop_stop'] - ordinal_extrema_dict['t_loop_start'] + 2)] +
-                                          [('threeprime_t_stem_sequence_' + str(feature_index), str(feature_index + 60)) for feature_index
-                                           in range(1, ordinal_extrema_dict['threeprime_t_stem_sequence_stop'] - ordinal_extrema_dict['threeprime_t_stem_sequence_start'] + 2)] +
-                                          [('threeprime_acceptor_stem_sequence_' + str(feature_index), str(feature_index + 65)) for feature_index
-                                           in range(1, ordinal_extrema_dict['threeprime_acceptor_stem_sequence_stop'] - ordinal_extrema_dict['threeprime_acceptor_stem_sequence_start'] + 2)] +
-                                          [('discriminator_1', '73')])
-
-
-    def generate_seed_output(self):
-        contig_name_iter = iter(self.contig_names)
-        feature_table_dict = self.contigs_db.db.get_table_as_dict(tables.trna_seed_feature_table_name)
-        self.taxonomy_table_dict = taxonomy_table_dict = {}
-        for taxonomy_item in self.contigs_db.db.get_table_as_dataframe(tables.trna_taxonomy_table_name,
-                                                                       error_if_no_data=False,
-                                                                       columns_of_interest=['gene_callers_id',
-                                                                                            't_domain',
-                                                                                            't_phylum',
-                                                                                            't_class',
-                                                                                            't_order',
-                                                                                            't_family',
-                                                                                            't_genus',
-                                                                                            't_species',
-                                                                                            'percent_identity']).itertuples():
-            taxonomy_table_dict[taxonomy_item.gene_callers_id] = (taxonomy_item.t_domain if taxonomy_item.t_domain else '',
-                                                                  taxonomy_item.t_phylum if taxonomy_item.t_phylum else '',
-                                                                  taxonomy_item.t_class if taxonomy_item.t_class else '',
-                                                                  taxonomy_item.t_order if taxonomy_item.t_order else '',
-                                                                  taxonomy_item.t_family if taxonomy_item.t_family else '',
-                                                                  taxonomy_item.t_genus if taxonomy_item.t_genus else '',
-                                                                  taxonomy_item.t_species if taxonomy_item.t_species else '',
-                                                                  str(taxonomy_item.percent_identity) if taxonomy_item.percent_identity else '')
-
-        spec_profile_db = dbops.ProfileDatabase(self.spec_profile_db_path, quiet=True)
-        get_meta_value = spec_profile_db.db.get_meta_value
-        self.sample_names = sample_names = get_meta_value('samples').split(', ')
-        sample_total_mean_spec_covs = tuple(map(float, get_meta_value('sample_total_mean_specific_coverage').split(', ')))
-        sample_total_discriminator_spec_covs = tuple(map(int, get_meta_value('sample_total_discriminator_specific_coverage').split(', ')))
-        mean_spec_cov_df = spec_profile_db.db.get_table_as_dataframe('mean_coverage_contigs')
-        spec_profile_db.disconnect()
-        mean_spec_cov_df['contig_name'] = mean_spec_cov_df['item'].apply(lambda s: s.split('_split_00001')[0])
-        mean_spec_cov_df = mean_spec_cov_df.drop(['item', 'layer'], axis=1)
-        mean_spec_cov_df = mean_spec_cov_df.rename({'value': 'mean_spec_cov'}, axis=1)
-        mean_spec_cov_dict = {}
-        for contig_name, contig_df in mean_spec_cov_df.groupby('contig_name'):
-            mean_spec_cov_dict[contig_name] = tuple(contig_df['mean_spec_cov'])
-
-        do_nonspec = True if self.nonspec_profile_db_path else False
-        if do_nonspec:
-            nonspec_profile_db = dbops.ProfileDatabase(self.nonspec_profile_db_path, quiet=True)
-            get_meta_value = nonspec_profile_db.db.get_meta_value
-            self.sample_names = sample_names = get_meta_value('samples').split(', ')
-            mean_nonspec_cov_df = nonspec_profile_db.db.get_table_as_dataframe('mean_coverage_contigs')
-            nonspec_profile_db.disconnect()
-            mean_nonspec_cov_df['contig_name'] = mean_nonspec_cov_df['item'].apply(lambda s: s.split('_split_00001')[0])
-            mean_nonspec_cov_df = mean_nonspec_cov_df.drop(['item', 'layer'], axis=1)
-            mean_nonspec_cov_df = mean_nonspec_cov_df.rename({'value': 'mean_nonspec_cov'}, axis=1)
-            mean_nonspec_cov_dict = {}
-            for contig_name, contig_df in mean_nonspec_cov_df.groupby('contig_name'):
-                mean_nonspec_cov_dict[contig_name] = tuple(contig_df['mean_nonspec_cov'])
-
-        anticodon_aa_items = [(anticodon, aa) for aa, anticodon in
-                              [anticodon_aa_item.split('_') for anticodon_aa_item in
-                               self.contigs_db.db.get_single_column_from_table(tables.hmm_hits_table_name, 'gene_name')]]
-        self.gene_callers_id_anticodon_aa_dict = gene_callers_id_anticodon_aa_dict = {}
-        for gene_callers_id, anticodon_aa_item in enumerate(anticodon_aa_items):
-            gene_callers_id_anticodon_aa_dict[gene_callers_id] = anticodon_aa_item
-        anticodon_aa_iter = iter(anticodon_aa_items)
-
-        convert_binary_blob_to_numpy_array = partial(utils.convert_binary_blob_to_numpy_array, dtype=auxiliarydataops.TRNASEQ_COVERAGE_DTYPE)
-        spec_aux_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.spec_aux_db_path, self.contigs_db_info.hash, db_variant='trnaseq')
-        spec_aux_df = spec_aux_db.db.get_table_as_dataframe(tables.split_coverages_table_name)
-        spec_aux_db.close()
-        spec_aux_df['contig_name'] = spec_aux_df['split_name'].apply(lambda s: s.split('_split_00001')[0])
-        spec_aux_df = spec_aux_df.drop('split_name', axis=1)
-        spec_aux_df['coverages'] = spec_aux_df['coverages'].apply(convert_binary_blob_to_numpy_array)
-
-        if do_nonspec:
-            nonspec_aux_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.nonspec_aux_db_path, self.contigs_db_info.hash, db_variant='trnaseq')
-            nonspec_aux_df = nonspec_aux_db.db.get_table_as_dataframe(tables.split_coverages_table_name)
-            nonspec_aux_db.close()
-            nonspec_aux_df['contig_name'] = spec_aux_df['contig_name'].values
-            nonspec_aux_df = nonspec_aux_df.drop('split_name', axis=1)
-            nonspec_aux_df['coverages'] = nonspec_aux_df['coverages'].apply(convert_binary_blob_to_numpy_array)
-
-        spec_covs_dict = {}
-        sample_rel_discriminator_spec_cov_dict = {}
-        for contig_name, contig_df in spec_aux_df.groupby('contig_name'):
-            spec_covs_dict[contig_name] = dict(zip(contig_df['sample_name'], contig_df['coverages']))
-            sample_rel_discriminator_spec_cov_dict[contig_name] = tuple([round(covs[-1] / total_discriminator_cov, 8) for covs, total_discriminator_cov
-                                                                         in zip(contig_df['coverages'], sample_total_discriminator_spec_covs)])
-
-        if do_nonspec:
-            nonspec_covs_dict = {}
-            for contig_name, contig_df in nonspec_aux_df.groupby('contig_name'):
-                nonspec_covs_dict[contig_name] = dict(zip(contig_df['sample_name'], contig_df['coverages']))
-
-        canonical_dict = self.canonical_dict
-        spec_top_header = ("gene_callers_id",
-                           "contig_name",
-                           "anticodon",
-                           "aa",
-                           "domain",
-                           "phylum",
-                           "class",
-                           "order",
-                           "family",
-                           "genus",
-                           "species",
-                           "taxon_percent_id",
-                           "sample_name",
-                           "mean_coverage",
-                           "relative_mean_coverage",
-                           "relative_discriminator_coverage") + tuple(self.ordinal_dict.keys())
-        spec_middle_header = "\t".join(("", ) * (len(spec_top_header) - len(self.ordinal_dict))
-                                       + tuple(map(str, range(1, len(self.ordinal_dict) + 1)))) + "\n"
-        spec_bottom_header = "\t".join(("", ) * (len(spec_top_header) - len(self.canonical_dict))
-                                       + tuple([canonical_dict[ordinal_name] for ordinal_name in self.ordinal_dict])) + "\n"
-        spec_top_header = "\t".join(spec_top_header) + "\n"
-
-        if do_nonspec:
-            nonspec_top_header = ("gene_callers_id",
-                                  "contig_name",
-                                  "anticodon",
-                                  "aa",
-                                  "domain",
-                                  "phylum",
-                                  "class",
-                                  "order",
-                                  "family",
-                                  "genus",
-                                  "species",
-                                  "taxon_percent_id",
-                                  "sample_name",
-                                  "mean_coverage") + tuple(self.ordinal_dict.keys())
-            nonspec_middle_header = "\t".join(("", ) * (len(spec_top_header) - len(self.ordinal_dict))
-                                              + tuple(map(str, range(1, len(self.ordinal_dict) + 1)))) + "\n"
-            nonspec_bottom_header = "\t".join(("", ) * (len(spec_top_header) - len(self.canonical_dict))
-                                              + tuple([canonical_dict[ordinal_name] for ordinal_name in self.ordinal_dict])) + "\n"
-            nonspec_top_header = "\t".join(nonspec_top_header) + "\n"
-
-
-        spec_out_file = open(self.spec_seed_out_path, 'a')
-        spec_out_file.write(spec_top_header + spec_middle_header + spec_bottom_header)
-        if do_nonspec:
-            nonspec_out_file = open(self.nonspec_seed_out_path, 'a')
-            nonspec_out_file.write(nonspec_top_header + nonspec_middle_header + nonspec_bottom_header)
-
-        reverse_ordinal_dict = self.reverse_ordinal_dict
-        self.contig_name_gene_callers_id_dict = contig_name_gene_callers_id_dict = {}
-        self.contig_feature_coord_dict = contig_feature_coord_dict = {}
-        for gene_callers_id, feature_dict in feature_table_dict.items():
-            contig_name = next(contig_name_iter)
-            anticodon, aa = next(anticodon_aa_iter)
-            contig_name_gene_callers_id_dict[contig_name] = gene_callers_id
-
-            try:
-                t_domain, t_phylum, t_class, t_order, t_family, t_genus, t_species, t_percent_id = taxonomy_table_dict[gene_callers_id]
-            except KeyError:
-                t_domain, t_phylum, t_class, t_order, t_family, t_genus, t_species, t_percent_id = ('', ) * 8
-
-            sample_mean_spec_covs = mean_spec_cov_dict[contig_name]
-            sample_rel_mean_spec_covs = [round(mean_spec_cov / total_mean_spec_cov, 8) for mean_spec_cov, total_mean_spec_cov
-                                         in zip(sample_mean_spec_covs, sample_total_mean_spec_covs)]
-            sample_rel_discriminator_spec_covs = sample_rel_discriminator_spec_cov_dict[contig_name]
-
-            if do_nonspec:
-                sample_mean_nonspec_covs = mean_nonspec_cov_dict[contig_name]
-
-            contig_spec_covs_dict = {sample_name: iter(covs) for sample_name, covs in spec_covs_dict[contig_name].items()}
-            if do_nonspec:
-                contig_nonspec_covs_dict = {sample_name: iter(covs) for sample_name, covs in nonspec_covs_dict[contig_name].items()}
-            sample_range = range(len(contig_spec_covs_dict))
-            spec_contig_output_rows = []
-            for sample_name, mean_spec_cov, rel_mean_cov, rel_discriminator_cov in zip(sample_names,
-                                                                                       sample_mean_spec_covs,
-                                                                                       sample_rel_mean_spec_covs,
-                                                                                       sample_rel_discriminator_spec_covs):
-                spec_contig_output_rows.append([str(gene_callers_id),
-                                                contig_name,
-                                                anticodon,
-                                                aa,
-                                                t_domain,
-                                                t_phylum,
-                                                t_class,
-                                                t_order,
-                                                t_family,
-                                                t_genus,
-                                                t_species,
-                                                t_percent_id,
-                                                sample_name,
-                                                str(round(mean_spec_cov, 1)),
-                                                str(rel_mean_cov),
-                                                str(rel_discriminator_cov)])
-
-            if do_nonspec:
-                nonspec_contig_output_rows = []
-                for spec_contig_output_row, mean_nonspec_cov in zip(spec_contig_output_rows, sample_mean_nonspec_covs):
-                    nonspec_contig_output_rows.append(spec_contig_output_row[: -3] + [str(round(mean_nonspec_cov, 1))])
-
-            feature_start_in_seq = None
-            feature_stop_in_seq = None
-            feature_ordinal_start = None
-            feature_ordinal_stop = None
-
-            tabulated_contig_spec_covs = [[] for sample_index in sample_range]
-            if do_nonspec:
-                tabulated_contig_nonspec_covs = [[] for sample_index in sample_range]
-            feature_coord_map = {}
-            ordinal_extremum_index = 0
-            for ordinal_extremum_name, ordinal_extremum in self.ordinal_extrema_dict.items():
-                try:
-                    extremum_in_seq = feature_dict[ordinal_extremum_name]
-                except KeyError:
-                    if ordinal_extremum_name == 'd_loop_prealpha_start':
-                        extremum_in_seq = feature_dict['d_loop_start']
-                    elif ordinal_extremum_name == 'd_loop_prealpha_stop':
-                        alpha_start_in_seq = feature_dict['alpha_start']
-                        extremum_in_seq = alpha_start_in_seq - 1 if pd.notnull(alpha_start_in_seq) else np.nan
-                    elif ordinal_extremum_name == 'd_loop_alpha_start':
-                        extremum_in_seq = alpha_start_in_seq = feature_dict['alpha_start']
-                    elif ordinal_extremum_name == 'd_loop_alpha_stop':
-                        extremum_in_seq = alpha_stop_in_seq = feature_dict['alpha_stop']
-                    elif ordinal_extremum_name == 'd_loop_postalpha_start':
-                        extremum_in_seq = alpha_stop_in_seq + 1 if pd.notnull(alpha_stop_in_seq) else np.nan
-                    elif ordinal_extremum_name == 'd_loop_postalpha_stop':
-                        beta_start_in_seq = feature_dict['beta_start']
-                        extremum_in_seq = beta_start_in_seq - 1 if pd.notnull(beta_start_in_seq) else np.nan
-                    elif ordinal_extremum_name == 'd_loop_beta_start':
-                        extremum_in_seq = beta_start_in_seq
-                    elif ordinal_extremum_name == 'd_loop_beta_stop':
-                        extremum_in_seq = beta_stop_in_seq = feature_dict['beta_stop']
-                    elif ordinal_extremum_name == 'd_loop_postbeta_start':
-                        extremum_in_seq = beta_stop_in_seq + 1 if pd.notnull(beta_stop_in_seq) else np.nan
-                    elif ordinal_extremum_name == 'd_loop_postbeta_stop':
-                        extremum_in_seq = feature_dict['d_loop_stop']
-
-                if pd.notnull(feature_start_in_seq):
-                    feature_stop_in_seq = extremum_in_seq
-                    feature_ordinal_max_stop = ordinal_extremum
-                    for ordinal_index, seq_index in enumerate(range(feature_start_in_seq, feature_stop_in_seq + 1)):
-                        if seq_index >= 0:
-                            for sample_num, spec_cov_iter in enumerate(contig_spec_covs_dict.values()):
-                                tabulated_contig_spec_covs[sample_num].append(next(spec_cov_iter))
-                            if do_nonspec:
-                                for sample_num, nonspec_cov_iter in enumerate(contig_nonspec_covs_dict.values()):
-                                    tabulated_contig_nonspec_covs[sample_num].append(next(nonspec_cov_iter))
-                            rank = feature_ordinal_start + ordinal_index
-                            feature_coord_map[seq_index] = (reverse_ordinal_dict[rank], rank)
-                        else:
-                            for sample_num in sample_range:
-                                tabulated_contig_spec_covs[sample_num].append('')
-                                if do_nonspec:
-                                    tabulated_contig_nonspec_covs[sample_num].append('')
-                    uncovered_ordinal_length = feature_ordinal_max_stop - feature_ordinal_start - ordinal_index
-                    if uncovered_ordinal_length:
-                        cov_extension = [''] * uncovered_ordinal_length
-                        for sample_num in sample_range:
-                            tabulated_contig_spec_covs[sample_num].extend(cov_extension)
-                            if do_nonspec:
-                                tabulated_contig_nonspec_covs[sample_num].extend(cov_extension)
-                    feature_start_in_seq = None
-                    feature_stop_in_seq = None
-                    feature_ordinal_start = None
-                    feature_ordinal_max_stop = None
-                elif ordinal_extremum_index % 2 == 1:
-                    cov_extension = [''] * (ordinal_extremum + 1 - feature_ordinal_start)
-                    for sample_num in sample_range:
-                        tabulated_contig_spec_covs[sample_num].extend(cov_extension)
-                        if do_nonspec:
-                            tabulated_contig_nonspec_covs[sample_num].extend(cov_extension)
-                    feature_start_in_seq = None
-                    feature_ordinal_start = None
-                else:
-                    feature_start_in_seq = extremum_in_seq
-                    feature_ordinal_start = ordinal_extremum
-                ordinal_extremum_index += 1
-
-            contig_feature_coord_dict[contig_name] = feature_coord_map
-
-            for spec_contig_output_row, contig_spec_covs_row in zip(spec_contig_output_rows, tabulated_contig_spec_covs):
-                spec_out_file.write("\t".join(spec_contig_output_row + list(map(str, contig_spec_covs_row))) + "\n")
-            if do_nonspec:
-                for nonspec_contig_output_row, contig_nonspec_covs_row in zip(nonspec_contig_output_rows, tabulated_contig_nonspec_covs):
-                    nonspec_out_file.write("\t".join(nonspec_contig_output_row + list(map(str, contig_nonspec_covs_row))) + "\n")
-
-
-    def generate_modification_output(self):
-        profile_db = dbops.ProfileDatabase(self.spec_profile_db_path)
-        var_nts_df = profile_db.db.get_table_as_dataframe('variable_nucleotides')
-        profile_db.disconnect()
-        var_nts_df['contig_name'] = var_nts_df['split_name'].apply(lambda s: s.split('_split_00001')[0])
-        contig_name_gene_callers_id_dict = self.contig_name_gene_callers_id_dict
-        var_nts_df['gene_callers_id'] = var_nts_df['contig_name'].apply(lambda c: contig_name_gene_callers_id_dict[c])
-        var_nts_df = var_nts_df.drop(['pos_in_contig',
-                                      'corresponding_gene_call',
-                                      'in_noncoding_gene_call',
-                                      'in_coding_gene_call',
-                                      'base_pos_in_codon',
-                                      'codon_order_in_gene',
-                                      'cov_outlier_in_split',
-                                      'departure_from_reference',
-                                      'competing_nts'],
-                                     axis=1)
-        var_nts_df = var_nts_df.sort_values('gene_callers_id')
-
-        header = "\t".join(("gene_callers_id",
-                            "contig_name",
-                            "anticodon",
-                            "aa",
-                            "domain",
-                            "phylum",
-                            "class",
-                            "order",
-                            "family",
-                            "genus",
-                            "species",
-                            "taxon_percent_id",
-                            "seed_position",
-                            "ordinal_name",
-                            "ordinal_position",
-                            "canonical_position",
-                            "reference",
-                            "sample_name")
-                           + UNAMBIG_NTS) + "\n"
-        out_file = open(self.mod_out_path, 'a')
-        out_file.write(header)
-
-        gene_callers_id_anticodon_aa_dict = self.gene_callers_id_anticodon_aa_dict
-        taxonomy_table_dict = self.taxonomy_table_dict
-        contig_feature_coord_dict = self.contig_feature_coord_dict
-        canonical_dict = self.canonical_dict
-        sample_names = self.sample_names
-        for contig_index, contig_df in var_nts_df.groupby(['gene_callers_id', 'contig_name']):
-            gene_callers_id = contig_index[0]
-            contig_name = contig_index[1]
-            anticodon, aa = gene_callers_id_anticodon_aa_dict[gene_callers_id]
-            try:
-                t_domain, t_phylum, t_class, t_order, t_family, t_genus, t_species, t_percent_id = taxonomy_table_dict[gene_callers_id]
-            except KeyError:
-                t_domain, t_phylum, t_class, t_order, t_family, t_genus, t_species, t_percent_id = ('', ) * 8
-            gene_callers_id = str(gene_callers_id)
-            contig_df = contig_df.sort_values('pos')
-            feature_coord_dict = contig_feature_coord_dict[contig_name]
-            for seed_pos, sub_df in contig_df.groupby('pos'):
-                try:
-                    ordinal_name, ordinal_pos = feature_coord_dict[seed_pos]
-                except KeyError:
-                    # The modification position may be 5' of the 5'-most feature defined in the
-                    # seed.
-                    ordinal_name = 'NA'
-                    ordinal_pos = 'NA'
-                str_seed_pos = str(seed_pos)
-                ordinal_pos = str(ordinal_pos)
-                try:
-                    canonical_pos = str(canonical_dict[ordinal_name])
-                except KeyError:
-                    canonical_pos = 'NA'
-                sample_row_dict = {}
-                for sample_row in sub_df.itertuples():
-                    out_row = [gene_callers_id,
-                               contig_name,
-                               anticodon,
-                               aa,
-                               t_domain,
-                               t_phylum,
-                               t_class,
-                               t_order,
-                               t_family,
-                               t_genus,
-                               t_species,
-                               t_percent_id,
-                               str_seed_pos,
-                               ordinal_name,
-                               ordinal_pos,
-                               canonical_pos,
-                               sample_row.reference,
-                               sample_row.sample_id]
-                    sample_row_dict[out_row[-1]] = out_row
-                    out_row.extend([str(getattr(sample_row, nt)) for nt in UNAMBIG_NTS])
-                for sample_name in sample_names:
-                    try:
-                        out_row = sample_row_dict[sample_name]
-                    except KeyError:
-                        out_row = [gene_callers_id,
-                                   contig_name,
-                                   anticodon,
-                                   aa,
-                                   t_domain,
-                                   t_phylum,
-                                   t_class,
-                                   t_order,
-                                   t_family,
-                                   t_genus,
-                                   t_species,
-                                   t_percent_id,
-                                   str_seed_pos,
-                                   ordinal_name,
-                                   ordinal_pos,
-                                   canonical_pos,
-                                   sample_row.reference,
-                                   sample_name] + [""] * len(UNAMBIG_NTS)
-                    out_file.write("\t".join(out_row) + "\n")
-
-
-class ResultPlotter(object):
-
-    NT_COLORS = ('blue', 'green', 'orange', 'red')
-    RANKS = ('domain', 'phylum', 'class', 'order', 'family', 'genus', 'species')
-    DEFAULT_FORMAT_PARAM_DICT = {
-        'nt_key_y': 1.07,
-        'nt_key_font_size': 3,
-        'group_id_y': 1.07,
-        'group_id_font_size': 6,
-        'seed_count_y': 1.07,
-        'seed_count_font_size': 6,
-        'cov_tick_font_size': 3,
-        'mod_frac_tick_font_size': 2,
-        'sample_rel_abund_font_size': 3,
-        'ordinal_pos_tick_font_size': 4
-    }
-
-    def __init__(self, args, run=terminal.Run(width=100)):
-        self.run = run
-
-        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
-        # Group 1: MANDATORY
-        self.contigs_db_path = A('contigs_db')
-        self.spec_txt_path = A('seeds_specific_txt')
-        self.mod_txt_path = A('modifications_txt')
-        self.out_dir = A('output_dir')
-
-        # Group 2: OPTIONAL
-        self.overwrite_out_dest = A('overwrite_output_destinations')
-        # The following parameters are not currently available to the user.
-        self.nonspec_txt_path = None
-        self.cov_cutoff = 1
-
-        if not self.contigs_db_path:
-            raise ConfigError("Please provide the path to a `trnaseq`-variant contigs database using `--contigs-db` or `-c`.")
-        if not self.spec_txt_path:
-            raise ConfigError("Please provide the path to a tRNA seeds table of data including specific coverages using `--seeds-specific-txt` or `-s`.")
-        if not self.mod_txt_path:
-            raise ConfigError("Please provide the path to a tRNA modifications table using `--modifications-txt` or `-m`.")
-
-        self.format_param_dict = self.DEFAULT_FORMAT_PARAM_DICT
-
-
-    def go(self):
-        """Load data and get standard input from user to produce plots."""
-        self.sanity_check()
-        self.load_data()
-        self.print_help()
-
-        RANKS = self.RANKS
-        DEFAULT_FORMAT_PARAM_DICT = self.DEFAULT_FORMAT_PARAM_DICT
-        warning = self.run.warning
-        while True:
-            entry = input("\033[36;1;3mInput -> \033[0m")
-
-            if entry == 'q':
-                return
-            elif entry == 'h':
-                self.print_help()
-                continue
-            elif entry == 'f':
-                self.print_formatting_options()
-                continue
-
-            loop_ranks = []
-            format_command = False
-            taxon_rank_filter = None
-            taxon_filter = None
-            single_aa = None
-            single_anticodon = None
-            out_dir = self.out_dir
-            for field_index, field in enumerate([field.strip() for field in entry.split(';')]):
-                split_field = field.split(',')
-
-                if len(split_field) == 1:
-                    if split_field[0] == '':
-                        warning("An empty semicolon-delimited field was given.", "INVALID FIELD")
-                        break
-
-                    single_field = split_field[0]
-                    if single_field == 'f':
-                        if field_index > 0:
-                            warning("A format command must start with f; and not include plot commands.", "INVALID FIELD")
-                            break
-                        format_command = True
-                    elif single_field in RANKS:
-                        loop_ranks.append(single_field)
-                    elif single_field in AMINO_ACIDS:
-                        if single_aa:
-                            warning("Multiple amino acids were given.", "INVALID FIELD")
-                            break
-                        single_aa = single_field
-                    elif single_field in ANTICODONS:
-                        if single_anticodon:
-                            warning("Multiple anticodons were given.", "INVALID FIELD")
-                            break
-                        single_anticodon = single_field
-                    elif format_command:
-                        if single_field == 'reset':
-                            self.format_param_dict = DEFAULT_FORMAT_PARAM_DICT
-                        else:
-                            warning("A format option must have a value of 'reset' or be similar to 'nt_key_y, 1.1'", "INVALID FIELD")
-                    else:
-                        warning(f"{single_field} is not recognized as a taxonomic rank, amino acid, or anticodon.", "INVALID FIELD")
-                        break
-                elif len(split_field) == 2:
-                    if format_command:
-                        format_param = split_field[0].strip()
-                        if format_param not in DEFAULT_FORMAT_PARAM_DICT:
-                            warning(f"{format_param} is not recognized. Type f for format options.", "INVALID FIELD")
-                        self.format_param_dict[format_param] = float(split_field[1].strip())
-                        continue
-
-                    if split_field[0].strip() == 'outdir':
-                        out_dir = split_field[1].strip()
-                        if os.path.isdir(out_dir):
-                            if not os.access(os.path.abspath(out_dir), os.W_OK):
-                                warning(f"Permission denied to create files in {out_dir}", "INVALID DIRECTORY PATH")
-                                break
-                        else:
-                            try:
-                                os.mkdir(out_dir)
-                            except FileNotFoundError:
-                                warning(f"{out_dir}", "INVALID DIRECTORY PATH")
-                                break
-                        continue
-
-                    if taxon_filter:
-                        warning("Multiple fields with a comma, interpreted as a taxon, were given.", "INVALID FIELD")
-                        break
-                    taxon_rank_filter = split_field[0].strip()
-
-                    if taxon_rank_filter not in RANKS:
-                        warning(f"{taxon_rank_filter} is not recognized as a taxonomic rank.", "INVALID FIELD")
-                        break
-                    taxon_filter = split_field[1].strip()
-                else:
-                    warning(f"A field with {len(split_field)} commas was given: '{field}'.", "INVALID FIELD")
-                    break
-            else:
-                if format_command:
-                    continue
-
-                if not taxon_rank_filter and not loop_ranks:
-                    warning(f"A taxon or at least one rank must be given.", "PROGRAM REQUIREMENT")
-                    continue
-
-                loop_ranks = sorted(loop_ranks, key=lambda rank: RANKS.index(rank))
-                if taxon_rank_filter and loop_ranks:
-                    if RANKS.index(taxon_rank_filter) >= RANKS.index(loop_ranks[0]):
-                        warning(f"A taxon ('{taxon_rank_filter} {taxon_filter}') lower than a rank ('{loop_ranks[0]}') was given.", "INVALID FIELD")
-                        continue
-
-                if single_aa and single_anticodon:
-                    if ANTICODON_AA_DICT[single_anticodon] == single_aa:
-                        warning(f"An amino acid is not needed with the anticodon.", "UNNECESSARY FIELD")
-                        single_aa = None
-                    else:
-                        warning(f"The anticodon ('{single_anticodon}') does not decode the amino acid ('{single_aa}').", "INVALID FIELD")
-                        continue
-
-                spec_df = self.spec_df
-                mod_df = self.mod_df
-                nonspec_df = self.nonspec_df if self.nonspec_txt_path else None
-
-                if single_anticodon:
-                    spec_df = spec_df[(spec_df['anticodon'] == single_anticodon).squeeze()]
-                    mod_df = mod_df[(mod_df['anticodon'] == single_anticodon)]
-                    nonspec_df = nonspec_df[(nonspec_df['anticodon'] == single_anticodon).squeeze()] if self.nonspec_txt_path else None
-
-                if taxon_rank_filter:
-                    # Subset the data to the taxon of interest.
-                    spec_df = spec_df[(spec_df[taxon_rank_filter] == taxon_filter).squeeze()]
-                    mod_df = mod_df[(mod_df[taxon_rank_filter] == taxon_filter)]
-                    nonspec_df = nonspec_df[(nonspec_df[taxon_rank_filter] == taxon_filter).squeeze()] if self.nonspec_txt_path else None
-
-                if single_anticodon:
-                    if taxon_filter:
-                        if loop_ranks: # (potentially) multiple taxa at ranks below the taxon filter
-                            for rank in loop_ranks:
-                                self.plot_rank(rank,
-                                               spec_df,
-                                               mod_df,
-                                               ANTICODON_AA_DICT[single_anticodon],
-                                               single_anticodon,
-                                               out_dir,
-                                               nonspec_df=nonspec_df)
-                        else: # single taxon
-                            self.plot_items(spec_df,
-                                            mod_df,
-                                            ANTICODON_AA_DICT[single_anticodon],
-                                            single_anticodon,
-                                            taxon_rank_filter,
-                                            taxon_filter,
-                                            out_dir,
-                                            nonspec_df=nonspec_df)
-                    else: # (potentially) multiple taxa
-                        for rank in loop_ranks:
-                            self.plot_rank(rank,
-                                           spec_df,
-                                           mod_df,
-                                           ANTICODON_AA_DICT[single_anticodon],
-                                           single_anticodon,
-                                           out_dir,
-                                           nonspec_df=nonspec_df)
-                else: # (potentially) multiple anticodons
-                    if single_aa:
-                        for anticodon in AA_ANTICODON_DICT[single_aa]:
-                            anticodon_spec_df = spec_df[(spec_df['anticodon'] == anticodon).squeeze()]
-                            anticodon_mod_df = mod_df[(mod_df['anticodon'] == anticodon)]
-                            anticodon_nonspec_df = nonspec_df[(nonspec_df['anticodon'] == anticodon).squeeze()] if self.nonspec_txt_path else None
-                            if taxon_filter:
-                                if loop_ranks: # (potentially) multiple taxa at ranks below the taxon filter
-                                    for rank in loop_ranks:
-                                        self.plot_rank(rank,
-                                                       anticodon_spec_df,
-                                                       anticodon_mod_df,
-                                                       single_aa,
-                                                       anticodon,
-                                                       out_dir,
-                                                       nonspec_df=anticodon_nonspec_df)
-                                else: # single taxon
-                                    self.plot_items(anticodon_spec_df,
-                                                    anticodon_mod_df,
-                                                    single_aa,
-                                                    anticodon,
-                                                    taxon_rank_filter,
-                                                    taxon_filter,
-                                                    out_dir,
-                                                    nonspec_df=anticodon_nonspec_df)
-                            else: # (potentially) multiple taxa
-                                for rank in loop_ranks:
-                                    self.plot_rank(rank,
-                                                   anticodon_spec_df,
-                                                   anticodon_mod_df,
-                                                   single_aa,
-                                                   anticodon,
-                                                   out_dir,
-                                                   nonspec_df=anticodon_nonspec_df)
-                    else: # all anticodons
-                        for aa, anticodons in AA_ANTICODON_DICT.items():
-                            for anticodon in anticodons:
-                                anticodon_spec_df = spec_df[(spec_df['anticodon'] == anticodon).squeeze()]
-                                anticodon_mod_df = mod_df[(mod_df['anticodon'] == anticodon)]
-                                anticodon_nonspec_df = nonspec_df[(nonspec_df['anticodon'] == anticodon).squeeze()] if self.nonspec_txt_path else None
-                                if taxon_filter:
-                                    if loop_ranks: # (potentially) multiple taxa at ranks below the taxon filter
-                                        for rank in loop_ranks:
-                                            self.plot_rank(rank,
-                                                           anticodon_spec_df,
-                                                           anticodon_mod_df,
-                                                           aa,
-                                                           anticodon,
-                                                           out_dir,
-                                                           nonspec_df=anticodon_nonspec_df)
-                                    else: # single taxon
-                                        self.plot_items(anticodon_spec_df,
-                                                        anticodon_mod_df,
-                                                        aa,
-                                                        anticodon,
-                                                        taxon_rank_filter,
-                                                        taxon_filter,
-                                                        out_dir,
-                                                        nonspec_df=anticodon_nonspec_df)
-                                else: # (potentially) multiple taxa
-                                    for rank in loop_ranks:
-                                        self.plot_rank(rank,
-                                                       anticodon_spec_df,
-                                                       anticodon_mod_df,
-                                                       aa,
-                                                       anticodon,
-                                                       out_dir,
-                                                       nonspec_df=anticodon_nonspec_df)
-                print("\n")
-
-
-    def sanity_check(self):
-        """Check `anvi-plot-trnaseq` arguments."""
-        self.contigs_db_info = DBInfo(self.contigs_db_path, expecting='contigs')
-        if self.contigs_db_info.variant != 'trnaseq':
-            raise ConfigError("The input contigs database is not of the `trnaseq` variant...")
-
-        filesnpaths.is_file_tab_delimited(self.spec_txt_path)
-        if self.nonspec_txt_path:
-            filesnpaths.is_file_tab_delimited(self.nonspec_txt_path)
-        filesnpaths.is_file_tab_delimited(self.mod_txt_path)
-
-        if self.out_dir:
-            filesnpaths.is_output_dir_writable(self.out_dir)
-
-
-    def load_data(self):
-        # Load the tables of seed specific coverages and modifications.
-        dtype_dict = {rank: str for rank in self.RANKS}
-        self.spec_df = spec_df = pd.read_csv(self.spec_txt_path, sep='\t', header=[0, 1, 2], dtype=dtype_dict)
-
-        # The column multiindex has 3 levels. Some of the labels in the levels should be empty
-        # strings, but upon loading the table, these are replaced with default values that need to
-        # be changed to empty strings. The column multiindex for the positional coverage columns
-        # also needs to be isolated.
-        new_header = []
-        cov_header = []
-        in_cov_cols = False
-        self.cov_x_labels = cov_x_labels = []
-        for col_names in spec_df.columns:
-            new_col_names = []
-            for col_name in col_names:
-                if 'Unnamed: ' in col_name:
-                    new_col_names.append('')
-                else:
-                    new_col_names.append(col_name)
-                if col_name == 'trna_his_position_0_1':
-                    in_cov_cols = True
-            new_header.append(new_col_names)
-            if in_cov_cols:
-                cov_header.append(tuple(new_col_names))
-                cov_x_labels.append(new_col_names[2])
-        spec_df.columns = pd.MultiIndex.from_tuples(new_header)
-        self.cov_index = pd.MultiIndex.from_tuples(cov_header)
-
-        self.cov_length = len(self.cov_index.levels[0])
-        self.cov_x_values = np.arange(self.cov_length)
-
-        self.mod_y_ticks = np.arange(0, 1.25, 0.25)
-
-        # Each seed in a seeds coverage table has rows for all samples in the same order. Get sample
-        # names from the first seed in the table.
-        self.num_samples = len(set(spec_df['sample_name'].squeeze()))
-        self.sample_names = spec_df['sample_name'].squeeze().iloc[: self.num_samples].tolist()
-
-        dtype_dict = {rank: str for rank in self.RANKS}
-        dtype_dict['ordinal_position'] = pd.Int16Dtype()
-        dtype_dict['canonical_position'] = str
-        self.mod_df = pd.read_csv(self.mod_txt_path, sep='\t', header=0, dtype=dtype_dict)
-
-
-    def print_help(self):
-        self.run.warning("", header="INPUT HELP", lc='green')
-        info_single = self.run.info_single
-        info_single("This program generates plots of seed coverage and modification levels across samples.", cut_after=100)
-        info_single("Use a semicolon to separate fields and a comma to separate rank and taxon within a field.", cut_after=100, nl_after=1)
-
-        info_single("Write a single plot by specifying a taxon and anticodon.", mc='cyan')
-        info_single("This input will plot Clostridia Arg-TCT seeds: class, Clostridia; TCT", mc='magenta', level=2)
-        info_single("Redundant but accepted: class, Clostridia; Arg; TCT", mc='magenta', level=2, nl_after=1)
-
-        info_single("Write plots at a single taxonomic rank.", mc='cyan')
-        info_single("Every class + every anticodon: class", mc='magenta', level=2)
-        info_single("Every class + Arg-TCT: class; TCT", mc='magenta', level=2, nl_after=1)
-
-        info_single("Write plots for every anticodon decoding an amino acid.", mc='cyan')
-        info_single("One class + every Arg anticodon: class, Clostridia; Arg", mc='magenta', level=2)
-        info_single("Every class + every Arg anticodon: class; Arg", mc='magenta', level=2, nl_after=1)
-
-        info_single("Write plots for multiple taxonomic ranks.", mc='cyan')
-        info_single("Every phylum and class + every anticodon: phylum; class", mc='magenta', level=2)
-        info_single("Every order in class Clostridia + every anticodon: class, Clostridia; order", mc='magenta', level=2)
-        info_single("Every genus in class Clostridia + Arg-TCT: class, Clostridia; genus; TCT", mc='magenta', level=2)
-        info_single("Every order and family in class Clostridia + every Arg anticodon: class, Clostridia; order; family; Arg", cut_after=120, mc='magenta', level=2)
-        info_single("Invalid: phylum; class, Clostridia", mc='red', level=2, nl_after=1)
-
-        info_single("The output directory can be changed to a new or existing directory.", mc='cyan', cut_after=100)
-        info_single("Example: class, Clostridia; Arg; outdir, plots/class/Clostridia/aa/Arg", mc='magenta', level=2, nl_after=1)
-
-        info_single("Only one taxon, amino acid, or anticodon can be given at a time.", mc='cyan')
-        info_single("Invalid: phylum, Firmicutes; class, Clostridia", mc='red', level=2)
-        info_single("Invalid: class, Clostridia; class, Bacteroidia", mc='red', level=2)
-        info_single("Invalid: Arg; Asp", mc='red', level=2, nl_after=1)
-
-        info_single("Alter plot appearance with format options.", mc='cyan')
-        info_single("The available parameters, such as tick label size, may need to be tuned to make everything fit.", cut_after=120, mc='magenta', level=2)
-        info_single("A format command affects all subsequent plots.", mc='magenta', level=2)
-        info_single("A format command starts with f;", mc='magenta', level=2)
-        info_single("Example: f; sample_rel_abund_size, 2; group_id_y, 1.1; seed_count_y, 1.1", mc='magenta', cut_after=120, level=2)
-        info_single("A format command should not include a command to make a plot.", mc='magenta', level=2)
-        info_single("Invalid: f; sample_rel_abund_size, 2; class", mc='red', level=2)
-        info_single("Reset format options to their default values: f; reset", mc='magenta', level=2, nl_after=1)
-
-        info_single("Type f for format options.")
-        info_single("Type h for this help message.")
-        info_single("Type q to quit.", nl_after=2)
-
-
-    def print_formatting_options(self):
-        self.run.warning("", header="FORMAT OPTIONS", lc='green')
-        info_single = self.run.info_single
-        DEFAULT_FORMAT_PARAM_DICT = self.DEFAULT_FORMAT_PARAM_DICT
-        info_single("The name and default value of the option is given.", mc='magenta', level=1)
-        for param, value in self.DEFAULT_FORMAT_PARAM_DICT.items():
-            info_single(f"{param}, {value}", mc='yellow', level=2)
-        print("\n")
-
-
-    def plot_rank(self, rank, spec_df, mod_df, aa, anticodon, out_dir, nonspec_df=None):
-        spec_gb = spec_df.groupby(rank)
-        mod_gb = mod_df.groupby(rank)
-        nonspec_gb = nonspec_df.groupby(rank) if self.nonspec_txt_path else None
-
-        for taxon, taxon_spec_df in spec_gb:
-            try:
-                taxon_mod_df = mod_gb.get_group(taxon)
-            except KeyError:
-                taxon_mod_df = pd.DataFrame(columns=self.mod_df.columns)
-            taxon_nonspec_df = nonspec_gb.get_group(taxon) if self.nonspec_txt_path else None
-
-            self.plot_items(taxon_spec_df, taxon_mod_df, aa, anticodon, rank, taxon, out_dir, nonspec_df=taxon_nonspec_df)
-
-
-    def plot_items(self, spec_df, mod_df, aa, anticodon, rank, taxon, out_dir, nonspec_df=None):
-        if spec_df.empty:
-            if self.nonspec_txt_path:
-                if nonspec_df.empty:
-                    self.run.info_single(f"No values for {rank} {taxon} {aa}-{anticodon}")
-                    return
-            else:
-                self.run.info_single(f"No values for {rank} {taxon} {aa}-{anticodon}")
-                return
-
-        sample_spec_gb = spec_df.groupby(('sample_name', '', ''))
-        sample_mod_gb = mod_df.groupby('sample_name')
-        sample_nonspec_gb = nonspec_df.groupby(('sample_name', '', '')) if self.nonspec_txt_path else None
-
-        fig = plt.figure(1)
-        num_samples = self.num_samples
-        GridSpec(num_samples, 1)
-
-        bottom_cov_ax = plt.subplot2grid((num_samples, 1), (num_samples - 1, 0))
-        cov_axs = []
-        for grid_row in range(0, num_samples - 1):
-            cov_ax = plt.subplot2grid((num_samples, 1), (grid_row, 0), sharex=bottom_cov_ax)
-            cov_ax.tick_params(bottom=False, labelbottom=False)
-            cov_axs.append(cov_ax)
-        cov_axs.append(bottom_cov_ax)
-
-        plt.subplots_adjust(hspace=0)
-
-        format_param_dict = self.format_param_dict
-        cov_index = self.cov_index
-        cov_cutoff = self.cov_cutoff
-        cov_length = self.cov_length
-        cov_x_values = self.cov_x_values
-        cov_x_labels = self.cov_x_labels
-        NT_COLORS = self.NT_COLORS
-        mod_y_ticks = self.mod_y_ticks
-        ax_count = -1
-        for sample_name, cov_ax in zip(self.sample_names, cov_axs):
-            ax_count += 1
-            try:
-                sample_spec_df = sample_spec_gb.get_group(sample_name)
-            except KeyError:
-                raise ConfigError("The input seeds specific coverage table appears not to have been generated correctly -- "
-                                  "not every seed has a row for every sample. "
-                                  "If you (wisely) generated the table with `anvi-tabulate-trnaseq` please contact the developer.")
-
-            sum_rel_mean_spec_cov = sample_spec_df['relative_mean_coverage'].sum(axis=0)
-            if sum_rel_mean_spec_cov == 0:
-                cov_ax.tick_params(left=False, right=False, bottom=False, labelleft=False, labelright=False)
-                cov_ax.annotate(f"{sample_name}",
-                                xy=(1.04, 1),
-                                xycoords=('axes fraction', 'axes fraction'),
-                                va='top',
-                                fontsize=format_param_dict['sample_rel_abund_font_size'])
-                continue
-
-            # Display seed coverages from bottom to top in descending order of mean specific coverage.
-            sample_spec_df = sample_spec_df.sort_values('mean_coverage', ascending=False)
-
-            spec_cov_array = sample_spec_df[cov_index].values
-            cov_y_values = np.zeros(self.cov_length)
-            for spec_covs, mean_spec_cov in zip(spec_cov_array, sample_spec_df['mean_coverage']):
-                cov_y_values += spec_covs
-                cov_ax.plot(cov_x_values, cov_y_values, linewidth=0.15, color='gray')
-
-            # Plot a line showing the total specific coverage of all seeds under consideration.
-            cov_ax.plot(cov_x_values, spec_cov_array.sum(axis=0), linewidth=0.15, color='purple')
-
-            cov_ax.set_ylim(0)
-            cov_ax.yaxis.set_tick_params(labelsize=format_param_dict['cov_tick_font_size'], length=2, pad=0)
-            if ax_count == 0 and ax_count == len(cov_axs) - 1:
-                cov_ax.yaxis.set_major_locator(MaxNLocator(nbins=3, steps=[5], integer=True, min_n_ticks=2))
-            elif ax_count == 0:
-                cov_ax.yaxis.set_major_locator(MaxNLocator(nbins=3, steps=[5], integer=True, prune='lower', min_n_ticks=2))
-            elif ax_count == len(cov_axs) - 1:
-                cov_ax.yaxis.set_major_locator(MaxNLocator(nbins=3, steps=[5], integer=True, prune='upper', min_n_ticks=2))
-            else:
-                cov_ax.yaxis.set_major_locator(MaxNLocator(nbins=3, steps=[5], integer=True, prune='both', min_n_ticks=2))
-
-            sum_rel_discriminator_spec_cov = sample_spec_df['relative_discriminator_coverage'].sum(axis=0)
-            cov_ax.annotate(f"{sample_name}\n\nRel abunds\nmean: {sum_rel_mean_spec_cov:.1e}\n3': {sum_rel_discriminator_spec_cov:.1e}",
-                            xy=(1.04, 0.98),
-                            xycoords=('axes fraction', 'axes fraction'),
-                            va='top',
-                            fontsize=format_param_dict['sample_rel_abund_font_size'])
+    def create_combined_contigs_and_splits_tables(self, profile_db_path, table_basename, data_dict):
+        """Create a pair of tables in a combined profile database. Contigs and splits tables contain
+        the same information since tRNA, unlike a metagenomic contig, is not long enough to be
+        split."""
+        TablesForViews(profile_db_path).create_new_view(
+            view_data=data_dict,
+            table_name=table_basename + '_contigs',
+            view_name=None,
+            from_matrix_form=True)
+        TablesForViews(profile_db_path).create_new_view(
+            view_data=data_dict,
+            table_name=table_basename + '_splits',
+            view_name=table_basename,
+            from_matrix_form=True)
 
-            mod_ax = cov_ax.twinx()
-            try:
-                sample_mod_df = sample_mod_gb.get_group(sample_name)
-            except KeyError:
-                # The seeds under consideration have no modifications.
-                mod_ax.tick_params(right=False, labelright=False)
-                continue
 
-            for ordinal_pos, pos_df in sample_mod_df.groupby('ordinal_position'):
-                try:
-                    total_pos_cov = spec_cov_array[:, ordinal_pos - 1].sum()
-                except IndexError:
-                    # The ordinal position is NaN when the modification position is 5' of the
-                    # 5'-most feature defined in the seed.
-                    continue
-                mod_nt_covs = pos_df[UNAMBIG_NTS_LIST].sum(axis=0)
-                nt_order = np.argsort(mod_nt_covs)[::-1]
-                nt_colors = [NT_COLORS[nt_int] for nt_int in nt_order]
-                prev_mod_nt_freq = 0
-                for mod_nt_cov, nt_color in zip(mod_nt_covs[nt_order], nt_colors):
-                    mod_nt_freq = mod_nt_cov / total_pos_cov
-                    mod_ax.bar([ordinal_pos - 1], prev_mod_nt_freq + mod_nt_freq, width=0.5, bottom=prev_mod_nt_freq, color=nt_color)
-                    prev_mod_nt_freq += mod_nt_freq
-
-            mod_ax.set_ylim(0, 1)
-            if ax_count == 0 and ax_count == len(cov_axs) - 1:
-                mod_ax.set_yticks(mod_y_ticks)
-            elif ax_count == 0:
-                mod_ax.set_yticks(mod_y_ticks[1: ])
-            elif ax_count == len(cov_axs) - 1:
-                mod_ax.set_yticks(mod_y_ticks[: -1])
-            else:
-                mod_ax.set_yticks(mod_y_ticks[1: -1])
-            mod_ax.yaxis.set_tick_params(labelsize=format_param_dict['mod_frac_tick_font_size'], length=2, pad=0)
-
-        bottom_cov_ax.set_xlim(-1, cov_length)
-        bottom_cov_ax.set_xticks(cov_x_values)
-        bottom_cov_ax.set_xticklabels(cov_x_labels, fontsize=format_param_dict['ordinal_pos_tick_font_size'], rotation='vertical')
-        bottom_cov_ax.xaxis.set_tick_params(length=2, pad=0)
-
-        top_cov_ax = cov_axs[0]
-        # Place a color key in the upper left corner for modification nt coverages.
-        NT_COLORS = self.NT_COLORS
-        nt_num = 0
-        for nt, nt_color in zip(UNAMBIG_NTS, NT_COLORS):
-            top_cov_ax.annotate(f"{nt}",
-                                xy=(0.01 + 0.007 * nt_num, format_param_dict['nt_key_y']),
-                                xycoords=('axes fraction', 'axes fraction'),
-                                fontsize=format_param_dict['nt_key_font_size'],
-                                ha='center',
-                                color=nt_color)
-            nt_num += 1
-
-        top_cov_ax.annotate(f"{aa}-{anticodon}\n{rank.capitalize()} {taxon}",
-                            xy=(0.05, format_param_dict['group_id_y']),
-                            xycoords=('axes fraction', 'axes fraction'),
-                            fontsize=format_param_dict['group_id_font_size'])
-
-        top_cov_ax.annotate(f"Seeds: {pp(len(sample_spec_df))}",
-                            xy=(1, format_param_dict['seed_count_y']),
-                            xycoords=('axes fraction', 'axes fraction'),
-                            ha='right',
-                            fontsize=format_param_dict['seed_count_font_size'])
-
-        filename = f"{aa}_{anticodon}_{rank}_{taxon}.png"
-        out_path = os.path.join(out_dir, filename)
-        overwritten = True if os.path.exists(out_path) else False
-        plt.savefig(out_path, dpi=600, bbox_inches='tight')
-        self.run.info_single(f"{out_path}{' overwritten' if overwritten else ''}", mc='green')
+def trnaseq_db_loader(input_queue, output_queue, db_converter):
+    """This client for `DatabaseConverter.load_trnaseq_db_seq_info` is located outside the
+    `DatabaseConverter` class to allow multiprocessing."""
+    while True:
+        trnaseq_db_path = input_queue.get()
+        unmod_norm_seq_summaries, mod_seq_summaries = db_converter.load_trnaseq_db_seq_info(trnaseq_db_path)
+        output_queue.put((trnaseq_db_path, unmod_norm_seq_summaries, mod_seq_summaries))
diff --git a/anvio/utils.py b/anvio/utils.py
index d6702f5d26..464a7a2aa8 100644
--- a/anvio/utils.py
+++ b/anvio/utils.py
@@ -425,10 +425,7 @@ def tar_extract_file(input_file_path, output_file_path=None, keep_original=True)
 
 
 class CoverageStats:
-    """A class to return coverage stats for an array of nucleotide level coverages.
-
-    FIXME: This class should replace `coverage_c` function in bamops to avoid redundancy.
-    """
+    """This class should replace `coverage_c` function in bamops"""
 
     def __init__(self, coverage, skip_outliers=False):
         self.min = np.amin(coverage)
@@ -449,7 +446,7 @@ def __init__(self, coverage, skip_outliers=False):
         if skip_outliers:
             self.is_outlier = None
         else:
-            self.is_outlier = get_list_of_outliers(coverage, median=self.median) # this is an array not a list
+            self.is_outlier = utils.get_list_of_outliers(coverage, median=self.median) # this is an array not a list
 
 
 class RunInDirectory(object):
@@ -658,8 +655,7 @@ def store_dataframe_as_TAB_delimited_file(d, output_path, columns=None, include_
     return output_path
 
 
-def store_dict_as_TAB_delimited_file(d, output_path, headers=None, file_obj=None, key_header=None, keys_order=None,
-                                     header_item_conversion_dict=None, do_not_close_file_obj=False, do_not_write_key_column=False):
+def store_dict_as_TAB_delimited_file(d, output_path, headers=None, file_obj=None, key_header=None, keys_order=None, header_item_conversion_dict=None, do_not_close_file_obj=False):
     """Store a dictionary of dictionaries as a TAB-delimited file.
 
     Parameters
@@ -681,9 +677,6 @@ def store_dict_as_TAB_delimited_file(d, output_path, headers=None, file_obj=None
         To replace the column names at the time of writing.
     do_not_close_file_obj: boolean
         If True, file object will not be closed after writing the dictionary to the file
-    do_not_write_key_column: boolean
-        If True, the first column (keys of the dictionary) will not be written to the file. For use in
-        instances when the key is meaningless or arbitrary.
 
     Returns
     =======
@@ -709,15 +702,9 @@ def store_dict_as_TAB_delimited_file(d, output_path, headers=None, file_obj=None
             raise ConfigError("Your header item conversion dict is missing keys for one or "
                               "more headers :/ Here is a list of those that do not have any "
                               "entry in the dictionary you sent: '%s'." % (', '.join(missing_headers)))
-        if do_not_write_key_column:
-            header_text = '\t'.join([header_item_conversion_dict[h] for h in headers[1:]])
-        else:
-            header_text = '\t'.join([headers[0]] + [header_item_conversion_dict[h] for h in headers[1:]])
+        header_text = '\t'.join([headers[0]] + [header_item_conversion_dict[h] for h in headers[1:]])
     else:
-        if do_not_write_key_column:
-            header_text = '\t'.join(headers[1:])
-        else:
-            header_text = '\t'.join(headers)
+        header_text = '\t'.join(headers)
 
     if anvio.AS_MARKDOWN:
         tab = '\t'
@@ -743,10 +730,7 @@ def store_dict_as_TAB_delimited_file(d, output_path, headers=None, file_obj=None
                                   "missing.")
 
     for k in keys_order:
-        if do_not_write_key_column:
-            line = []
-        else:
-            line = [str(k)]
+        line = [str(k)]
         for header in headers[1:]:
             try:
                 val = d[k][header]
@@ -1121,9 +1105,9 @@ def get_vectors_from_TAB_delim_matrix(file_path, cols_to_return=None, rows_to_re
 
         try:
             if fields_of_interest:
-                vector = [float(fields[i]) if fields[i] != '' else None for i in fields_of_interest]
+                vector = [float(fields[i]) for i in fields_of_interest]
             else:
-                vector = [float(f) if f != '' else None for f in fields]
+                vector = [float(f) for f in fields]
         except ValueError:
             raise ConfigError("Matrix should contain only numerical values.")
 
@@ -1795,60 +1779,6 @@ def concatenate_files(dest_file, file_list, remove_concatenated_files=False):
     return dest_file
 
 
-def merge_stretches(stretches, min_distance_between_independent_stretches):
-    """A function to merge stretches of indices in an array.
-
-    It takes an array, `stretches`, that looks like this:
-
-        >>> [(3, 9), (14, 27), (32, 36), (38, 42)]
-
-    And returns an array like this, if `min_distance_between_independent_stretches`, say, 3:
-
-        >>> [(3, 9), (14, 27), (32, 42)]
-
-    """
-    stretches_to_merge = []
-
-    # The following state machine determines which entries in a given array
-    # should be merged
-    CURRENT = 0
-    START, END = 0, 1
-    while 1:
-        if not len(stretches):
-            break
-
-        NEXT = CURRENT + 1
-
-        if NEXT == len(stretches):
-            stretches_to_merge.append([stretches[CURRENT]])
-            break
-
-        while 1:
-            if NEXT > len(stretches):
-                break
-
-            if stretches[NEXT][START] - stretches[CURRENT][END] < min_distance_between_independent_stretches:
-                NEXT = NEXT + 1
-
-                if NEXT == len(stretches):
-                    break
-            else:
-                break
-
-        if NEXT > len(stretches):
-            break
-        elif NEXT - CURRENT == 1:
-            stretches_to_merge.append([stretches[CURRENT]])
-            CURRENT += 1
-        else:
-            stretches_to_merge.append(stretches[CURRENT:NEXT])
-            CURRENT = NEXT + 1
-
-    # here the array `stretches_to_merge` contains all the lists of
-    # stretches that need to be merged.
-    return [(s[0][0], s[-1][1]) for s in stretches_to_merge]
-
-
 def get_chunk(stream, separator, read_size=4096):
     """Read from a file chunk by chunk based on a separator substring
 
@@ -3272,54 +3202,6 @@ def is_ascii_only(text):
     return all(ord(c) < 128 for c in text)
 
 
-def get_bams_and_profiles_txt_as_data(file_path):
-    """bams-and-profiles.txt is an anvi'o artifact with four columns.
-
-    This function will sanity check one, process it, and return data.
-    """
-
-    COLUMN_DATA = lambda x: get_column_data_from_TAB_delim_file(file_path, [columns_found.index(x)])[columns_found.index(x)][1:]
-
-    if not filesnpaths.is_file_tab_delimited(file_path, dont_raise=True):
-        raise ConfigError(f"The bams and profiles txt file must be a TAB-delimited flat text file :/ "
-                          f"The file you have at '{file_path}' is nothing of that sorts.")
-
-    expected_columns = ['name', 'contigs_db_path', 'profile_db_path', 'bam_file_path']
-
-    columns_found = get_columns_of_TAB_delim_file(file_path, include_first_column=True)
-
-    if not set(expected_columns).issubset(set(columns_found)):
-        raise ConfigError(f"A bams and profiles txt file is supposed to have at least the columns {', '.join(expected_columns)}.")
-
-    names = COLUMN_DATA('name')
-    if len(set(names)) != len(names):
-        raise ConfigError("Every name listed in the `names` column in a bams and profiles txt must be unique :/ "
-                          "You have some redundant names in yours.")
-
-    contigs_db_paths = COLUMN_DATA('contigs_db_path')
-    if len(set(contigs_db_paths)) != 1:
-        raise ConfigError("All single profiles in bams and profiles file must be associated with the same "
-                          "contigs database. Meaning, you have to use the same contigs database path for "
-                          "every entry. Confusing? Yes. Still a rule? Yes.")
-
-    profile_db_paths = COLUMN_DATA('profile_db_path')
-    if len(set(profile_db_paths)) != len(profile_db_paths):
-        raise ConfigError("You listed the same profile database more than once in your bams and profiles txt file :/")
-
-    bam_file_paths = COLUMN_DATA('bam_file_path')
-    if len(set(bam_file_paths)) != len(bam_file_paths):
-        raise ConfigError("You listed the same BAM file more than once in your bams and profiles txt file :/")
-
-    contigs_db_path = contigs_db_paths[0]
-    profiles_and_bams = get_TAB_delimited_file_as_dictionary(file_path)
-    for sample_name in profiles_and_bams:
-        profiles_and_bams[sample_name].pop('contigs_db_path')
-        filesnpaths.is_file_bam_file(profiles_and_bams[sample_name]['bam_file_path'])
-        is_profile_db_and_contigs_db_compatible(profiles_and_bams[sample_name]['profile_db_path'], contigs_db_path)
-
-    return contigs_db_path, profiles_and_bams
-
-
 def get_samples_txt_file_as_dict(file_path, run=run, progress=progress):
     "Samples txt file is a commonly-used anvi'o artifact to describe FASTQ file paths for input samples"
 
@@ -3366,36 +3248,6 @@ def get_samples_txt_file_as_dict(file_path, run=run, progress=progress):
     return samples_txt
 
 
-def get_primers_txt_file_as_dict(file_path, run=run, progress=progress):
-    """Primers-txt is an anvi'o artifact for primer sequencs."""
-
-    filesnpaths.is_file_tab_delimited(file_path)
-
-    columns_found = get_columns_of_TAB_delim_file(file_path, include_first_column=True)
-
-    if 'name' not in columns_found:
-        progress.reset()
-        raise ConfigError("A primers-txt file should have a column that is called `name` for the primer name.")
-
-    if 'primer_sequence' not in columns_found:
-        progress.reset()
-        raise ConfigError("A primers-txt file should have a column that is called `primer_sequence` for the primer sequence.")
-
-    if len(columns_found) < 2:
-        progress.reset()
-        raise ConfigError("A primers-txt file should have at least two columns - one for primer names, and one for primer sequences.")
-
-    item_column = columns_found[0]
-    if item_column != 'name':
-        progress.reset()
-        raise ConfigError("The first column in your primers-txt file does not seem to be `name`. Anvi'o expects the first "
-                          "column to have sequence names.")
-
-    primers_txt = get_TAB_delimited_file_as_dictionary(file_path)
-
-    return primers_txt
-
-
 def get_groups_txt_file_as_dict(file_path, run=run, progress=progress):
     """Groups-txt is an anvi'o artifact associating items with groups. This function extracts this file into a set of dictionaries.
 
@@ -4119,10 +3971,11 @@ def is_profile_db_and_contigs_db_compatible(profile_db_path, contigs_db_path):
     cdb = dbi(contigs_db_path)
 
     if cdb.hash != pdb.hash:
-        raise ConfigError(f"The contigs database and the profile database at '{profile_db_path}' "
-                          f"does not seem to be compatible. More specifically, this contigs "
-                          f"database is not the one that was used when %s generated this profile "
-                          f"database (%s != %s)." % ('anvi-merge' if pdb.merged else 'anvi-profile', cdb.hash, pdb.hash))
+        raise ConfigError('The contigs database and the profile database does not '
+                          'seem to be compatible. More specifically, this contigs '
+                          'database is not the one that was used when %s generated '
+                          'this profile database (%s != %s).'\
+                               % ('anvi-merge' if pdb.merged else 'anvi-profile', cdb.hash, pdb.hash))
     return True
 
 
@@ -4588,54 +4441,3 @@ def send(self, to, subject, content):
         self.progress.end()
 
         self.run.info('E-mail', 'Successfully sent to "%s"' % to)
-
-
-def split_by_delim_not_within_parens(d, delims, return_delims=False):
-    """Takes a string, and splits it on the given delimiter(s) as long as the delimeter is not within parentheses.
-
-    This function exists because regular expressions don't handle nested parentheses very well.
-
-    The function can also be used to determine if the parentheses in the string are unbalanced (it will return False
-    instead of the list of splits in this situation)
-
-    PARAMETERS
-    ==========
-    d : str
-        string to split
-    delims : str or list of str
-        a single delimiter, or a list of delimiters, to split on
-    return_delims : boolean
-        if this is true then the list of delimiters found between each split is also returned
-
-    RETURNS
-    =======
-    If parentheses are unbalanced in the string, this function returns False. Otherwise:
-    splits : list
-        strings that were split from d
-    delim_list : list
-        delimiters that were found between each split (only returned if return_delims is True)
-    """
-
-    parens_level = 0
-    last_split_index = 0
-    splits = []
-    delim_list = []
-    for i in range(len(d)):
-        # only split if not within parentheses
-        if d[i] in delims and parens_level == 0:
-            splits.append(d[last_split_index:i])
-            delim_list.append(d[i])
-            last_split_index = i + 1 # we add 1 here to skip the space
-        elif d[i] == "(":
-            parens_level += 1
-        elif d[i] == ")":
-            parens_level -= 1
-
-        # if parentheses become unbalanced, return False to indicate this
-        if parens_level < 0:
-            return False
-    splits.append(d[last_split_index:len(d)])
-
-    if return_delims:
-        return splits, delim_list
-    return splits
diff --git a/anvio/variabilityops.py b/anvio/variabilityops.py
index 9ad2ced90f..d5092edecb 100644
--- a/anvio/variabilityops.py
+++ b/anvio/variabilityops.py
@@ -881,11 +881,9 @@ def get_splits_of_interest(self, splits_of_interest_path="", split_source=""):
 
         elif split_source == "bin_id":
             if self.collection_name and not self.bin_id:
-                self.progress.reset()
                 raise ConfigError('When you declare a collection name, you must also declare a bin id '
                                   '(from which the split names of interest will be acquired).')
             if self.bin_id and not self.collection_name:
-                self.progress.reset()
                 raise ConfigError("You declared a bin id but anvi'o doesn't know which collection "
                                   "it comes from. Please provide a collection name.")
             splits_of_interest = ccollections.GetSplitNamesInBins(self.args).get_split_names_only()
@@ -895,7 +893,6 @@ def get_splits_of_interest(self, splits_of_interest_path="", split_source=""):
             splits_of_interest = set([c.strip().replace('\r', '') for c in open(splits_of_interest_path).readlines()])
 
         else:
-            self.progress.reset()
             raise ConfigError("Invalid split source '%s'. Expected 'split_names', 'bin_id', or "
                               "'gene_caller_ids'." % split_source)
 
diff --git a/anvio/workflows/__init__.py b/anvio/workflows/__init__.py
index 4f19c04edb..02b59ad1fc 100644
--- a/anvio/workflows/__init__.py
+++ b/anvio/workflows/__init__.py
@@ -70,7 +70,7 @@ def __init__(self):
 
         # if this class is being inherited from a snakefile that was 'included' from
         # within another snakefile.
-        self.this_workflow_is_inherited_by_another = A('this_workflow_is_inherited_by_another')
+        self.slave_mode = A('slave_mode')
 
         if self.config_file:
             filesnpaths.is_file_json_formatted(self.config_file)
@@ -134,7 +134,7 @@ def init(self):
         os.makedirs(self.dirs_dict["LOGS_DIR"], exist_ok=True)
 
         # lets check everything
-        if not self.this_workflow_is_inherited_by_another:
+        if not self.slave_mode:
             self.check_config()
             self.check_rule_params()
 
@@ -211,7 +211,7 @@ def dry_run(self, workflow_graph_output_file_path_prefix='workflow'):
            snake file `get_workflow_snake_file_path(self.name)`, it can be called with
            a compiled snakemake `workflow` instance."""
 
-        if self.this_workflow_is_inherited_by_another:
+        if self.slave_mode:
             return
 
         self.progress.new('Bleep bloop')
@@ -244,11 +244,11 @@ def dry_run(self, workflow_graph_output_file_path_prefix='workflow'):
 
             if u.is_program_exists('dot', dont_raise=True):
                 dot_log_file = filesnpaths.get_temp_file_path()
-                u.run_command(['dot', '-Tpdf', workflow_graph_output_file_path_prefix + '.dot', '-o', workflow_graph_output_file_path_prefix + '.pdf'], dot_log_file)
+                u.run_command(['dot', '-Tpng', workflow_graph_output_file_path_prefix + '.dot', '-o', workflow_graph_output_file_path_prefix + '.png'], dot_log_file)
                 os.remove(dot_log_file)
-                self.run.info('Workflow PDF file', workflow_graph_output_file_path_prefix + '.pdf')
+                self.run.info('Workflow PNG file', workflow_graph_output_file_path_prefix + '.png')
             else:
-                self.run.warning("Well, anvi'o was going to try to save a nice PDF file for your workflow "
+                self.run.warning("Well, anvi'o was going to try to save a nice PNG file for your workflow "
                                  "graph, but clearly you don't have `dot` installed on your system. That's OK. You "
                                  "have your dot file now, and you can Google 'how to view dot file on [your operating "
                                  "system goes here]', and install necessary programs (like .. `dot`).")
@@ -273,7 +273,7 @@ def check_workflow_program_dependencies(self, snakemake_workflow_object, dont_ra
           See https://github.com/merenlab/anvio/issues/1316 for discussion.
         """
 
-        if self.this_workflow_is_inherited_by_another:
+        if self.slave_mode:
             return
 
         shell_programs_needed = [r.shellcmd.strip().split()[0] for r in snakemake_workflow_object.rules if r.shellcmd]
@@ -633,7 +633,7 @@ def get_workflow_snake_file_path(workflow):
     workflow_dir = os.path.join(get_path_to_workflows_dir(), workflow)
 
     if not os.path.isdir(workflow_dir):
-        raise ConfigError("Anvi'o does not know about the workflow '%s' :/" % workflow)
+        raise ConfigError("Anvi'o does not know about the workflow '%s' :/")
 
     snakefile_path = os.path.join(workflow_dir, 'Snakefile')
 
@@ -665,19 +665,18 @@ def get_fields_for_fasta_information():
 
 
 def get_workflow_module_dict():
+
     from anvio.workflows.contigs import ContigsDBWorkflow
     from anvio.workflows.metagenomics import MetagenomicsWorkflow
     from anvio.workflows.pangenomics import PangenomicsWorkflow
     from anvio.workflows.phylogenomics import PhylogenomicsWorkflow
     from anvio.workflows.trnaseq import TRNASeqWorkflow
-    from anvio.workflows.ecophylo import EcoPhyloWorkflow
 
     workflows_dict = {'contigs': ContigsDBWorkflow,
                       'metagenomics': MetagenomicsWorkflow,
                       'pangenomics': PangenomicsWorkflow,
                       'phylogenomics': PhylogenomicsWorkflow,
-                      'trnaseq': TRNASeqWorkflow,
-                      'ecophylo': EcoPhyloWorkflow}
+                      'trnaseq': TRNASeqWorkflow}
 
     return workflows_dict
 
diff --git a/anvio/workflows/contigs/Snakefile b/anvio/workflows/contigs/Snakefile
index ed6ff59db1..60ab3aa9ca 100644
--- a/anvio/workflows/contigs/Snakefile
+++ b/anvio/workflows/contigs/Snakefile
@@ -21,11 +21,11 @@ __email__ = "alon.shaiber@gmail.com"
 
 run = terminal.Run()
 
-this_workflow_is_inherited_by_another = False if 'workflows/contigs' in workflow.included[0] else True
-if not this_workflow_is_inherited_by_another:
+slave_mode = False if 'workflows/contigs' in workflow.included[0] else True
+if not slave_mode:
     # don't be confused, child. when things come to this point, the variable `config`
     # is already magically filled in by snakemake:
-    M = ContigsDBWorkflow(argparse.Namespace(config=config, this_workflow_is_inherited_by_another=this_workflow_is_inherited_by_another))
+    M = ContigsDBWorkflow(argparse.Namespace(config=config, slave_mode=slave_mode))
     M.init()
     dirs_dict = M.dirs_dict
 
diff --git a/anvio/workflows/ecophylo/Snakefile b/anvio/workflows/ecophylo/Snakefile
index 622331a998..f9830b18af 100644
--- a/anvio/workflows/ecophylo/Snakefile
+++ b/anvio/workflows/ecophylo/Snakefile
@@ -456,7 +456,6 @@ rule align_sequences:
     run:
         shell("muscle -in {input} -out {output} {params.additional_params} -verbose 2> {log}")
 
-
 rule trim_alignment:
     """Trim MSA alignment"""
 
@@ -469,8 +468,11 @@ rule trim_alignment:
         gappyout = M.get_rule_param('trim_alignment', '-gappyout'),
         additional_params = M.get_param_value_from_config(['trim_alignment', 'additional_params'])
     threads: M.T('trim_alignment')
-    run:
-        shell('trimal -in {input} -out {output} {params.gappyout} {params.additional_params} 2> {log}')
+    shell:
+        'trimal -in {input} \
+                -out {output} \
+                {params.gappyout} \
+                {params.additional_params} 2> {log}'
 
 
 rule remove_sequences_with_X_percent_gaps:
@@ -484,10 +486,11 @@ rule remove_sequences_with_X_percent_gaps:
         seq_counts_tsv = os.path.join(dirs_dict['MSA'], "{HMM}", "{HMM}_gaps_counts"),
         max_percentage_gaps = M.get_param_value_from_config(['remove_sequences_with_X_percent_gaps', '--max-percentage-gaps'])
     threads: M.T('remove_sequences_with_X_percent_gaps')
-	run:
-		shell("anvi-script-reformat-fasta {input} -o {output} \
-									              --max-percentage-gaps {params.max_percentage_gaps} \
-									              --export-gap-counts-table {params.seq_counts_tsv} >> {log} 2>&1")
+	shell:
+		"anvi-script-reformat-fasta {input} \
+									-o {output} \
+									--max-percentage-gaps {params.max_percentage_gaps} \
+									--export-gap-counts-table {params.seq_counts_tsv} >> {log} 2>&1"
 
 
 rule count_num_sequences_filtered:
@@ -595,8 +598,13 @@ if M.run_iqtree == True:
           model = M.get_param_value_from_config(['iqtree', '-m']),
           additional_params = M.get_param_value_from_config(['iqtree', 'additional_params'])
       threads: M.T('iqtree')
-      run:
-          shell('iqtree -s {input} -nt AUTO -m {params.model} -pre {params.outfile}  -T AUTO {params.additional_params} >> {log} 2>&1')
+      shell:
+          "iqtree -s {input} \
+                  -nt AUTO \
+                  -m {params.model} \
+                  -pre {params.outfile} \
+                  -T AUTO \
+                  {params.additional_params} >> {log} 2>&1"
 
 elif M.run_fasttree == True:
   rule fasttree:
@@ -900,9 +908,11 @@ if M.samples_txt_file:
             profileDB = os.path.join("ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW/06_MERGED", "{HMM}", "PROFILE.db")
         output: touch(os.path.join("ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW", "{HMM}_add_default_collection.done"))
         threads: M.T('add_default_collection')
-        run:
-            shell('anvi-script-add-default-collection -c {params.contigsDB} -p {params.profileDB}')
-
+        shell:
+            """
+            anvi-script-add-default-collection -c {params.contigsDB} \
+                                            -p {params.profileDB}
+            """
 
     rule anvi_summarize:
         """
@@ -919,10 +929,16 @@ if M.samples_txt_file:
             output_dir = os.path.join("ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW/07_SUMMARY", "{HMM}")
         output: touch(os.path.join("ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW/07_SUMMARY", "{HMM}_summarize.done"))
         threads: M.T('anvi_summarize')
-        run: 
-            shell('anvi-summarize -c {params.contigsDB} -p {params.profileDB} -o {params.output_dir} -C DEFAULT --init-gene-coverages --just-do-it;')
+        shell:
+            """
+            anvi-summarize -c {params.contigsDB} \
+                        -p {params.profileDB} \
+                        -o {params.output_dir} \
+                        -C DEFAULT \
+                        --init-gene-coverages \
+                        --just-do-it;
+            """
             
-
     rule make_anvio_state_file:
         """Make a state file customized for EcoPhylo workflow interactive interface"""
 
@@ -1229,7 +1245,6 @@ else:
             layers_dict['gc_content'] = gc_content
             layers_dict['identifier'] = identifier
             layers_dict['percent_identity'] = percent_identity
-            layers_dict['names'] = names
 
             state_dict['layers'] = layers_dict
 
diff --git a/anvio/workflows/ecophylo/__init__.py b/anvio/workflows/ecophylo/__init__.py
deleted file mode 100644
index 4af6a45326..0000000000
--- a/anvio/workflows/ecophylo/__init__.py
+++ /dev/null
@@ -1,330 +0,0 @@
-# -*- coding: utf-8
-# pylint: disable=line-too-long
-""" Classes to define and work with anvi'o ecophylo workflows. """
-
-import os
-import sys
-import anvio
-import pandas as pd
-
-import anvio
-import anvio.data.hmm
-import anvio.utils as u
-import anvio.genomedescriptions as gd
-import anvio.terminal as terminal
-import anvio.workflows as w
-import anvio.filesnpaths as filesnpaths
-
-from anvio.errors import ConfigError
-from anvio.workflows import WorkflowSuperClass
-from anvio.workflows.metagenomics import MetagenomicsWorkflow
-
-
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2020, the Meren Lab (http://merenlab.org/)"
-__credits__ = []
-__license__ = "GPL 3.0"
-__version__ = anvio.__version__
-__maintainer__ = "Matthew S. Schechter"
-__email__ = "mschechter@uchicago.edu"
-
-
-run = terminal.Run()
-
-class EcoPhyloWorkflow(WorkflowSuperClass):
-
-    def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
-        self.init_workflow_super_class(args, workflow_name='ecophylo')
-
-        # Snakemake rules
-        self.rules.extend(['anvi_run_hmms_hmmsearch',
-                           'filter_hmm_hits_by_query_coverage',
-                           'anvi_get_sequences_for_hmm_hits',
-                           'simplify_names_from_hmm_hits',
-                           'combine_sequence_data',
-                           'anvi_get_external_gene_calls_file',
-                           'cat_external_gene_calls_file',
-                           'cluster_X_percent_sim_mmseqs',
-                           'subset_AA_seqs_with_mmseqs_reps',
-                           'align_sequences',
-                           'trim_alignment',
-                           'remove_sequences_with_X_percent_gaps',
-                           'count_num_sequences_filtered',
-                           'subset_DNA_reps_with_QCd_AA_reps_for_mapping',
-                           'subset_external_gene_calls_file_all',
-                           'make_fasta_txt',
-                           'fasttree',
-                           'iqtree',
-                           'make_metagenomics_config_file',
-                           'run_metagenomics_workflow',
-                           'add_default_collection',
-                           'anvi_summarize',
-                           'rename_tree_tips',
-                           'make_misc_data',
-                           'anvi_scg_taxonomy',
-                           'make_anvio_state_file',
-                           'anvi_import_everything'
-                           ])
-
-        self.general_params.extend(['metagenomes']) # user needs to input a metagenomes.txt file
-        self.general_params.extend(['external_genomes']) # user can add isolate genomes if needed
-        self.general_params.extend(['hmm_list']) # user must input which Reference proteins will be used for workflow
-        self.general_params.extend(['samples_txt']) # user must input which Reference proteins will be used for workflow
-        self.general_params.extend(['cluster_representative_method']) # pick cluster rep based on single profile coverage values
-
-
-        # Parameters for each rule that are accessible in the config.json file
-        rule_acceptable_params_dict = {}
-
-        rule_acceptable_params_dict['anvi_run_hmms_hmmsearch'] = ['additional_params']
-        rule_acceptable_params_dict['filter_hmm_hits_by_query_coverage'] = ['--query-coverage', 'additional_params']
-        rule_acceptable_params_dict['cluster_X_percent_sim_mmseqs'] = ['--min-seq-id']
-        rule_acceptable_params_dict['align_sequences'] = ['additional_params']
-        rule_acceptable_params_dict['trim_alignment'] = ['-gt', "-gappyout", 'additional_params']
-        rule_acceptable_params_dict['remove_sequences_with_X_percent_gaps'] = ['--max-percentage-gaps']
-        rule_acceptable_params_dict['fasttree'] = ['run']
-        rule_acceptable_params_dict['iqtree'] = ['run', '-m', 'additional_params']
-        rule_acceptable_params_dict['run_metagenomics_workflow'] = ['clusterize', 'cluster_submission_params']
-
-        self.rule_acceptable_params_dict.update(rule_acceptable_params_dict)
-
-        # Set default values for accessible rules and order of rules in config.json file
-        self.default_config.update({
-            'metagenomes': 'metagenomes.txt',
-            'external_genomes': 'external-genomes.txt',
-            'hmm_list': 'hmm_list.txt',
-            'samples_txt': 'samples.txt',
-            'cluster_representative_method': {'method': 'mmseqs'},
-            'anvi_run_hmms_hmmsearch': {'threads': 5},
-            'filter_hmm_hits_by_query_coverage': {'threads': 5, '--query-coverage': 0.8},
-            'anvi_get_sequences_for_hmm_hits': {'threads': 2},
-            'simplify_names_from_hmm_hits': {'threads': 2},
-            'combine_sequence_data': {'threads': 2},
-            'anvi_get_external_gene_calls_file': {'threads': 5},
-            'cat_external_gene_calls_file': {'threads': 2},
-            'cluster_X_percent_sim_mmseqs': {'threads': 5, '--min-seq-id': 0.94},
-            'subset_AA_seqs_with_mmseqs_reps': {'threads': 2},
-            'align_sequences': {'threads': 5, 'additional_params': '-maxiters 1 -diags -sv -distance1 kbit20_3'},
-            'trim_alignment': {'threads': 5, '-gappyout': True},
-            'remove_sequences_with_X_percent_gaps': {'threads': 5, '--max-percentage-gaps': 50},
-            'count_num_sequences_filtered': {'threads': 5},
-            'subset_DNA_reps_with_QCd_AA_reps_for_mapping': {'threads': 2},
-            'subset_external_gene_calls_file_all': {'threads': 2},
-            'make_fasta_txt': {'threads': 5},
-            'fasttree': {'run': True, 'threads': 5},
-            'iqtree': {'threads': 5,'-m': "MFP"},
-            'make_metagenomics_config_file': {'threads': 1},
-            'run_metagenomics_workflow': {'threads': 5, 'clusterize': False},
-            'add_default_collection': {'threads': 5},
-            'anvi_summarize': {'threads': 5},
-            'rename_tree_tips': {'threads': 1},
-            'make_misc_data': {'threads': 2},
-            'anvi_scg_taxonomy': {'threads': 5},
-            'make_anvio_state_file': {'threads': 5},
-            'anvi_import_everything': {'threads': 5},
-            })
-
-        # Directory structure for Snakemake workflow
-
-        self.dirs_dict.update({"EXTRACTED_RIBO_PROTEINS_DIR": "ECOPHYLO_WORKFLOW/01_REFERENCE_PROTEIN_DATA"})
-        self.dirs_dict.update({"RIBOSOMAL_PROTEIN_FASTAS": "ECOPHYLO_WORKFLOW/02_NR_FASTAS"})
-        self.dirs_dict.update({"MSA": "ECOPHYLO_WORKFLOW/03_MSA"})
-        self.dirs_dict.update({"RIBOSOMAL_PROTEIN_MSA_STATS": "ECOPHYLO_WORKFLOW/04_SEQUENCE_STATS"})
-        self.dirs_dict.update({"TREES": "ECOPHYLO_WORKFLOW/05_TREES"})
-        self.dirs_dict.update({"MISC_DATA": "ECOPHYLO_WORKFLOW/06_MISC_DATA"})
-        self.dirs_dict.update({"SCG_NT_FASTAS": "ECOPHYLO_WORKFLOW/07_SCG_NT_FASTAS"})
-        self.dirs_dict.update({"RIBOSOMAL_PROTEIN_FASTAS_RENAMED": "ECOPHYLO_WORKFLOW/08_RIBOSOMAL_PROTEIN_FASTAS_RENAMED"})
-
-    def init(self):
-        """This function is called from within the snakefile to initialize parameters."""
-        
-        super().init()
-        #FIXME: Because 00_LOGS is hardcoded in the base class I need to reassign it
-        self.dirs_dict.update({"LOGS_DIR": "ECOPHYLO_WORKFLOW/00_LOGS"})
-
-        self.names_list = []
-        self.names_dirs = []
-        self.contigsDB_name_path_dict = {}
-        self.contigsDB_name_dir_dict = {}
-        self.contigsDB_name_bam_dict = {}
-
-        # Load metagenomes.txt
-        self.metagenomes = self.get_param_value_from_config(['metagenomes'])
-
-        if self.metagenomes:
-            filesnpaths.is_file_exists(self.metagenomes)
-            try:
-                self.metagenomes_df = pd.read_csv(self.metagenomes, sep='\t', index_col=False)
-                self.metagenomes_name_list = self.metagenomes_df.name.to_list()
-                for name in self.metagenomes_name_list:
-                    if " " in name:
-                        raise ConfigError("One of the names in your metagenomes.txt file contains spaces. "
-                                          "The EcoPhylo workflow will have a hard time with this, please "
-                                          "only use underscores in your metagenome names.")
-                    else:
-                        continue
-                self.metagenomes_path_list = self.metagenomes_df.contigs_db_path.to_list()
-                self.metagenomes_dirname_list = [os.path.dirname(x) for x in self.metagenomes_path_list]
-                self.contigsDB_name_path_dict.update(dict(zip(self.metagenomes_df.name, self.metagenomes_df.contigs_db_path)))
-                if 'bam' in self.metagenomes_df.columns:
-                    self.contigsDB_name_bam_dict.update(dict(zip(self.metagenomes_df.name, self.metagenomes_df.bam)))
-                    self.metagenomes_profiles_list = self.metagenomes_df.bam.to_list()
-                self.names_list.extend(self.metagenomes_name_list)
-
-            except IndexError as e:
-                raise ConfigError("The metagenomes.txt file, '%s', does not appear to be properly formatted. "
-                                  "This is the error from trying to load it: '%s'" % (self.metagenomes_df, e))
-
-        # Load external-genomes.txt
-        self.external_genomes = self.get_param_value_from_config(['external_genomes'])
-        if self.external_genomes:
-            filesnpaths.is_file_exists(self.external_genomes)
-            try:
-                self.external_genomes_df = pd.read_csv(self.external_genomes, sep='\t', index_col=False)
-                self.external_genomes_names_list = self.external_genomes_df.name.to_list()
-                for name in self.external_genomes_names_list:
-                    if " " in name:
-                        raise ConfigError("One of the names in your external-genomes.txt file contains spaces. "
-                                          "The EcoPhylo workflow will have a hard time with this, please "
-                                          "only use underscores in your genome names.")
-                    else:
-                        continue
-                self.external_genomes_path_list = self.external_genomes_df.contigs_db_path.to_list()
-                self.external_genomes_dirname_list = [os.path.dirname(x) for x in self.external_genomes_path_list]
-                self.contigsDB_name_path_dict.update(dict(zip(self.external_genomes_names_list, self.external_genomes_path_list)))
-                if 'bam' in self.external_genomes_df.columns:
-                    self.contigsDB_name_bam_dict.update(dict(zip(self.external_genomes_df.name, self.external_genomes_df.bam)))
-                self.names_list.extend(self.external_genomes_names_list)
-
-            except IndexError as e:
-                raise ConfigError("The external-genomes.txt file, '%s', does not appear to be properly formatted. "
-                                  "This is the error from trying to load it: '%s'" % (self.external_genomes_df, e))
-        else:
-            self.external_genomes_names_list = []
-
-
-        # Concatenate metagenomes.txt and external-genomes.txt
-        contigsDB_name_path_list = list(self.contigsDB_name_path_dict.items())
-        contigsDB_name_path_df = pd.DataFrame(contigsDB_name_path_list, columns=['name', 'contigs_db_path'])
-        combined_genomes_df_path = "combined_genomes.txt"
-        
-        contigsDB_name_path_df.to_csv(combined_genomes_df_path, \
-                                      sep="\t", \
-                                      index=False, \
-                                      header=True)
-
-        # Make variables that tells whether we have metagenomes.txt, external-genomes.txt, or both
-        if self.metagenomes and not self.external_genomes:
-            self.mode = 'metagenomes'
-        if not self.metagenomes and self.external_genomes:
-            self.mode = 'external_genomes'
-        if self.metagenomes and self.external_genomes:
-            self.mode = 'both'
-
-        # Load HMM list
-        self.hmm_list_path = self.get_param_value_from_config(['hmm_list'])
-        if self.hmm_list_path: 
-            filesnpaths.is_file_exists(self.hmm_list_path)
-            try:
-                HMM_df = pd.read_csv(self.hmm_list_path, sep='\t', index_col=False)
-                self.HMM_source_dict = dict(zip(HMM_df.name, HMM_df.source))
-                self.HMM_path_dict = dict(zip(HMM_df.name, HMM_df.path))
-
-            except AttributeError as e:
-                raise ConfigError("The hmm_list.txt file, '%s', does not appear to be properly formatted. "
-                                  "This is the error from trying to load it: %s" % (self.hmm_list_path, e))
-
-            if any("-" in s for s in self.HMM_source_dict.keys()):
-                raise ConfigError(f"Please do not use "-" in your external HMM names in: "
-                                  f"{self.hmm_list_path}. It will make our lives "
-                                  f"easier with Snakemake wildcards :)")
-
-        # FIXME: this line prints the list of HMM_sources to stdout and I don't want that
-        self.internal_HMM_sources = list(anvio.data.hmm.sources.keys())
-
-        for HMM, HMM_path in self.HMM_source_dict.items():
-            if HMM_path == "INTERNAL":
-                if self.HMM_source_dict[HMM] not in self.internal_HMM_sources:
-                    HMM_source = self.HMM_source_dict[HMM]
-                    raise ConfigError(f"{HMM_source} is not an 'INTERNAL' HMM source for anvi'o. "
-                                      f"Please double check {self.hmm_list_path} to see if you spelled it right or "
-                                      f"please checkout the default internal HMMs here: https://merenlab.org/software/anvio/help/7/artifacts/hmm-source/#default-hmm-sources")
-
-        # Load samples.txt
-        self.samples_txt_file = self.get_param_value_from_config(['samples_txt'])
-        if self.samples_txt_file:
-            filesnpaths.is_file_tab_delimited(self.samples_txt_file)
-
-            try:
-                # getting the samples information (names, [group], path to r1, path to r2) from samples.txt
-                self.samples_information = pd.read_csv(self.samples_txt_file, sep='\t', index_col=False)
-            except IndexError as e:
-                raise ConfigError("Looks like your samples_txt file, '%s', is not properly formatted. "
-                                "This is what we know: '%s'" % (self.samples_txt_file, e))
-            if 'sample' not in list(self.samples_information.columns):
-                raise ConfigError("Looks like your samples_txt file, '%s', is not properly formatted. "
-                                "We are not sure what's wrong, but we can't find a column with title 'sample'." % self.samples_txt_file)
-
-            self.sample_names_for_mapping_list = self.samples_information['sample'].to_list()
-        else:
-            self.run.warning(f"Since you did not provide a samples.txt, EcoPhylo will assume you do not want "
-                             f"to profile the ecology and will just be making trees for now!")
-        
-        # Pick which tree algorithm
-        self.run_iqtree = self.get_param_value_from_config(['iqtree', 'run'])
-        self.run_fasttree = self.get_param_value_from_config(['fasttree', 'run'])
-
-        if not self.run_iqtree and not self.run_fasttree:
-            raise ConfigError("Please choose either iqtree or fasttree in your config file to run your phylogenetic tree.")
-
-        # Decide to clusterize metagenomic workflow
-        self.clusterize_metagenomics_workflow = self.get_param_value_from_config(['run_metagenomics_workflow', 'clusterize'])
-        self.metagenomics_workflow_HPC_string = self.get_param_value_from_config(['run_metagenomics_workflow', 'cluster_submission_params'])
-
-        # Pick clustering method
-        self.cluster_representative_method = self.get_param_value_from_config(['cluster_representative_method', 'method'])
-
-        if self.cluster_representative_method not in ['mmseqs', 'cluster_rep_with_coverages']:
-            raise ConfigError(f"anvi'o has never heard of this method to pick a cluster representative: {self.cluster_representative_method} "
-                              f"Please check your config file {self.config_file} and change cluster_representative_method to one of the following: 'mmseqs' and 'cluster_rep_with_coverages'")
-
-        if self.cluster_representative_method == 'cluster_rep_with_coverages' and len(self.contigsDB_name_bam_dict) == 0:
-            raise ConfigError(f"The EcoPhylo workflow can't use the cluster representative method cluster_rep_with_coverages without BAM files..."
-                              f"Please edit your metagenomes.txt or external-genomes.txt and add BAM files.")
-
-        self.target_files = self.get_target_files()
-
-    def get_target_files(self):
-        target_files = []
-
-        for HMM in self.HMM_source_dict.keys():
-
-            if not self.samples_txt_file:
-                # Just making trees
-                target_file = os.path.join(self.dirs_dict['TREES'], f"{HMM}", f"{HMM}_renamed.nwk")
-                target_files.append(target_file)
-                
-                target_file = os.path.join(self.dirs_dict['RIBOSOMAL_PROTEIN_MSA_STATS'], f"{HMM}", f"{HMM}_stats.tsv")
-                target_files.append(target_file)
-                
-                target_file = os.path.join("ECOPHYLO_WORKFLOW", f"{HMM}_anvi_estimate_scg_taxonomy_for_SCGs.done")
-                target_files.append(target_file)
-
-                target_file = os.path.join("ECOPHYLO_WORKFLOW", f"{HMM}_state_imported.done")
-                target_files.append(target_file)
-            
-            else:
-                # Making trees AND profiling SCGs
-                target_file = os.path.join("ECOPHYLO_WORKFLOW", f"{HMM}_state_imported.done")
-                target_files.append(target_file)
-
-                target_file = os.path.join(self.dirs_dict['TREES'], f"{HMM}", f"{HMM}_renamed.nwk")
-                target_files.append(target_file)
-                
-                target_file = os.path.join("ECOPHYLO_WORKFLOW", f"{HMM}_anvi_estimate_scg_taxonomy_for_SCGs.done")
-                target_files.append(target_file)
-
-                target_file = os.path.join(self.dirs_dict['RIBOSOMAL_PROTEIN_MSA_STATS'], f"{HMM}", f"{HMM}_stats.tsv")
-                target_files.append(target_file)
-        
-        return target_files
\ No newline at end of file
diff --git a/anvio/workflows/ecophylo/scripts/rename_external_gene_calls_file.py b/anvio/workflows/ecophylo/scripts/rename_external_gene_calls_file.py
deleted file mode 100644
index 5a38322e05..0000000000
--- a/anvio/workflows/ecophylo/scripts/rename_external_gene_calls_file.py
+++ /dev/null
@@ -1,38 +0,0 @@
-import pandas as pd
-
-# This script will replace the external-gene-calls names with the simplified names from anvi-script-reformat-fasta
-# sample-HMM-number
-
-# Import tables
-#--------------
-external_gene_calls = pd.read_csv(snakemake.input.external_gene_calls, \
-                                  delim_whitespace=True, \
-                                  index_col=False)
-
-reformat_report = pd.read_csv(snakemake.input.reformat_file, \
-                              sep="\t", \
-                              index_col=False, \
-                              names=["new_header", "header"])
-
-# Parse input files
-#-----------------
-# Parse reformat_report to get gene-callers-ids
-reformat_report["gene_callers_id"] = reformat_report['header'].str.split("gene_callers_id:|\|start:", expand=True)[1].astype(str)
-
-# Parse external-gene-calls contig column to get gene-callers-ids
-external_gene_calls[['name', 'contig_number', 'gene_callers_id']] = external_gene_calls['contig'].str.rsplit('_',2, expand=True)
-
-# Join external-gene-calls with reformat-report on gene-callers-id
-#-----------------
-external_gene_calls = external_gene_calls.merge(reformat_report, on="gene_callers_id", how="inner")
-
-# Replace contig name from anvi-export-gene-calls with the simplified, new header from anvi-script-reformat-fasta
-external_gene_calls = external_gene_calls[["gene_callers_id", "new_header", "start", "stop", "direction", "partial", "call_type", "source", "version", "aa_sequence"]]
-external_gene_calls = external_gene_calls.rename(columns={'new_header': 'contig'})
-
-# Write file
-#-----------
-external_gene_calls.to_csv(snakemake.output.external_gene_calls_renamed, \
-                           sep="\t", \
-                           index=False, \
-                           header=True)
diff --git a/anvio/workflows/ecophylo/scripts/subset_external_gene_calls_file.py b/anvio/workflows/ecophylo/scripts/subset_external_gene_calls_file.py
deleted file mode 100644
index 4df4d1c27f..0000000000
--- a/anvio/workflows/ecophylo/scripts/subset_external_gene_calls_file.py
+++ /dev/null
@@ -1,30 +0,0 @@
-import pandas as pd
-
-# This script reformats the names from the external_gene_calls.txt file (which comes from anvi-get-sequences-for-gene-calls) with 
-# the names of sequences from anvi-estimate-scg-taxonomy
-
-# Import tables
-#--------------
-external_gene_calls_all = pd.read_csv(snakemake.input.external_gene_calls_all, \
-                                      delim_whitespace=True, \
-                                      index_col=False)
-
-headers = pd.read_csv(snakemake.input.headers, \
-                      sep="\t", \
-                      index_col=False,
-                      names=["contig"])
-
-# Make new columns
-#-----------------
-external_gene_calls_subset = external_gene_calls_all.merge(headers, on="contig", how="inner")
-
-# Make new gene-callers-ids starting from 1:x
-#--------------------------------------------
-external_gene_calls_subset['gene_callers_id'] = external_gene_calls_subset.index 
-
-# Write file
-#-------------
-external_gene_calls_subset.to_csv(snakemake.output.external_gene_calls_subset, \
-                           sep="\t", \
-                           index=False, \
-                           header=True)
\ No newline at end of file
diff --git a/anvio/workflows/metagenomics/Snakefile b/anvio/workflows/metagenomics/Snakefile
index 56039175b1..f13073184e 100755
--- a/anvio/workflows/metagenomics/Snakefile
+++ b/anvio/workflows/metagenomics/Snakefile
@@ -31,9 +31,9 @@ __email__ = "alon.shaiber@gmail.com"
 run = terminal.Run()
 progress = terminal.Progress()
 
-this_workflow_is_inherited_by_another = False if 'workflows/metagenomics' in workflow.included[0] else True
+slave_mode = False if 'workflows/metagenomics' in workflow.included[0] else True
 
-if not this_workflow_is_inherited_by_another:
+if not slave_mode:
     # it is important that this comes before the include statement since
     # M is defined here and will also be used in the contigs workflow
     M = MetagenomicsWorkflow(argparse.Namespace(config=config))
diff --git a/anvio/workflows/metagenomics/__init__.py b/anvio/workflows/metagenomics/__init__.py
index 1a417230c0..bd445f5475 100644
--- a/anvio/workflows/metagenomics/__init__.py
+++ b/anvio/workflows/metagenomics/__init__.py
@@ -188,9 +188,6 @@ def init(self):
         self.fasta_txt_file = self.get_param_value_from_config('fasta_txt')
         self.profile_databases = {}
 
-        if len(self.samples_information.index) < 2 and self.references_mode:
-            raise ConfigError("The metagenomics workflow needs to have at least 2 metagenomes in a samples.txt to be in reference mode.")
-
         self.references_for_removal_txt = self.get_param_value_from_config(['remove_short_reads_based_on_references',\
                                                                             'references_for_removal_txt'])
         if self.references_for_removal_txt:
diff --git a/anvio/workflows/pangenomics/Snakefile b/anvio/workflows/pangenomics/Snakefile
index 9fdcc0f5c1..77d53eb36b 100644
--- a/anvio/workflows/pangenomics/Snakefile
+++ b/anvio/workflows/pangenomics/Snakefile
@@ -20,9 +20,9 @@ __email__ = "alon.shaiber@gmail.com"
 
 run = terminal.Run()
 
-this_workflow_is_inherited_by_another= False if 'workflows/pangenomics' in workflow.included[0] else True
+slave_mode= False if 'workflows/pangenomics' in workflow.included[0] else True
 
-if not this_workflow_is_inherited_by_another:
+if not slave_mode:
     M = PangenomicsWorkflow(argparse.Namespace(config=config))
     M.init()
     dirs_dict = M.dirs_dict
diff --git a/anvio/workflows/phylogenomics/Snakefile b/anvio/workflows/phylogenomics/Snakefile
index 134bb40703..0f8679e669 100644
--- a/anvio/workflows/phylogenomics/Snakefile
+++ b/anvio/workflows/phylogenomics/Snakefile
@@ -21,11 +21,11 @@ __email__ = "alon.shaiber@gmail.com"
 
 run = terminal.Run()
 
-this_workflow_is_inherited_by_another = False if 'workflows/phylogenomics' in workflow.included[0] else True
-if not this_workflow_is_inherited_by_another:
+slave_mode = False if 'workflows/phylogenomics' in workflow.included[0] else True
+if not slave_mode:
     # don't be confused, child. when things come to this point, the variable `config`
     # is already magically filled in by snakemake:
-    M = PhylogenomicsWorkflow(argparse.Namespace(config=config, this_workflow_is_inherited_by_another=this_workflow_is_inherited_by_another))
+    M = PhylogenomicsWorkflow(argparse.Namespace(config=config, slave_mode=slave_mode))
     M.init()
     dirs_dict = M.dirs_dict
     include: w.get_workflow_snake_file_path('contigs')
diff --git a/anvio/workflows/trnaseq/Snakefile b/anvio/workflows/trnaseq/Snakefile
index e5bd8e3ddd..6c14110e6d 100644
--- a/anvio/workflows/trnaseq/Snakefile
+++ b/anvio/workflows/trnaseq/Snakefile
@@ -12,8 +12,8 @@ from anvio.workflows.trnaseq import TRNASeqWorkflow
 from anvio.errors import ConfigError
 
 
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
+__author__ = "Samuel Miller"
+__copyright__ = "Copyright 2017, The anvio Project"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
@@ -229,57 +229,43 @@ rule anvi_trnaseq:
             os.remove(decompressed_fasta)
 
 
-rule anvi_merge_trnaseq:
+rule anvi_convert_trnaseq_database:
     version: 1.0
-    log: os.path.join(dirs_dict['LOGS_DIR'], "anvi_merge_trnaseq.log")
+    log: os.path.join(dirs_dict['LOGS_DIR'], "anvi_convert_trnaseq_database.log")
     input: expand(os.path.join(os.path.join(dirs_dict['IDENT_DIR'], "{sample_name}"), "IDENT.done"), sample_name=M.sample_names)
     output: touch(os.path.join(dirs_dict['CONVERT_DIR'], "CONVERT.done"))
-    threads: M.T('anvi_merge_trnaseq')
+    threads: M.T('anvi_convert_trnaseq_database')
     params:
-        trnaseq_dbs = expand(os.path.join(os.path.join(dirs_dict['IDENT_DIR'], "{sample_name}"), "{sample_name}-TRNASEQ.db"), sample_name=M.sample_names),
-        project_name = M.get_rule_param('anvi_merge_trnaseq', '--project-name'),
-        output_dir = os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])),
-        max_reported_trna_seeds = M.get_rule_param('anvi_merge_trnaseq', '--max-reported-trna-seeds'),
-        overwrite_output_destinations = M.get_rule_param('anvi_merge_trnaseq', '--overwrite-output-destinations'),
-        description = M.get_rule_param('anvi_merge_trnaseq', '--description'),
-        feature_threshold = M.get_rule_param('anvi_merge_trnaseq', '--feature-threshold'),
-        preferred_treatment = M.get_rule_param('anvi_merge_trnaseq', '--preferred-treatment'),
-        nonspecific_output = M.get_rule_param('anvi_merge_trnaseq', '--nonspecific-output'),
-        min_variation = M.get_rule_param('anvi_merge_trnaseq', '--min-variation'),
-        min_third_fourth_nt = M.get_rule_param('anvi_merge_trnaseq', '--min-third-fourth-nt'),
-        min_indel_fraction = M.get_rule_param('anvi_merge_trnaseq', '--min-indel-fraction'),
-        distance = M.get_rule_param('anvi_merge_trnaseq', '--distance'),
-        linkage = M.get_rule_param('anvi_merge_trnaseq', '--linkage')
-    shell: "anvi-merge-trnaseq {params.trnaseq_dbs} --output-dir {params.output_dir} {params.project_name} {params.max_reported_trna_seeds} {params.overwrite_output_destinations} {params.description} {params.feature_threshold} {params.preferred_treatment} {params.nonspecific_output} {params.min_variation} {params.min_third_fourth_nt} {params.min_indel_fraction} {params.distance} {params.linkage} -T {threads} >> {log} 2>&1"
+        trnaseq_db_paths = expand(os.path.join(os.path.join(dirs_dict['IDENT_DIR'], "{sample_name}"), "{sample_name}-TRNASEQ.db"), sample_name=M.sample_names),
+        project_name = M.get_rule_param('anvi_convert_trnaseq_database', '--project-name'),
+        output_dir = os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_convert_trnaseq_database', '--project-name'])),
+        max_reported_trna_seeds = M.get_rule_param('anvi_convert_trnaseq_database', '--max-reported-trna-seeds'),
+        overwrite_output_destinations = M.get_rule_param('anvi_convert_trnaseq_database', '--overwrite-output-destinations'),
+        description = M.get_rule_param('anvi_convert_trnaseq_database', '--description'),
+        feature_threshold = M.get_rule_param('anvi_convert_trnaseq_database', '--feature-threshold'),
+        preferred_treatment = M.get_rule_param('anvi_convert_trnaseq_database', '--preferred-treatment'),
+        nonspecific_output = M.get_rule_param('anvi_convert_trnaseq_database', '--nonspecific-output'),
+        min_variation = M.get_rule_param('anvi_convert_trnaseq_database', '--min-variation'),
+        min_third_fourth_nt = M.get_rule_param('anvi_convert_trnaseq_database', '--min-third-fourth-nt'),
+        min_indel_fraction = M.get_rule_param('anvi_convert_trnaseq_database', '--min-indel-fraction'),
+        distance = M.get_rule_param('anvi_convert_trnaseq_database', '--distance'),
+        linkage = M.get_rule_param('anvi_convert_trnaseq_database', '--linkage')
+    shell: "anvi-convert-trnaseq-database {params.trnaseq_db_paths} --output-dir {params.output_dir} {params.project_name} {params.max_reported_trna_seeds} {params.overwrite_output_destinations} {params.description} {params.feature_threshold} {params.preferred_treatment} {params.nonspecific_output} {params.min_variation} {params.min_third_fourth_nt} {params.min_indel_fraction} {params.distance} {params.linkage} -T {threads} >> {log} 2>&1"
 
 
 rule anvi_run_trna_taxonomy:
     version: 1.0
     log: os.path.join(dirs_dict['LOGS_DIR'], "anvi_run_trna_taxonomy.log")
-    input: rules.anvi_merge_trnaseq.output
+    input: rules.anvi_convert_trnaseq_database.output
     output: touch(os.path.join(dirs_dict['CONVERT_DIR'], "TAXONOMY.done"))
     threads: M.T('anvi_run_trna_taxonomy')
     params:
-        contigs_db = os.path.join(os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])), 'CONTIGS.db'),
+        contigs_db_path = os.path.join(os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_convert_trnaseq_database', '--project-name'])), 'CONTIGS.db'),
         min_percent_identity = M.get_rule_param('anvi_run_trna_taxonomy', '--min-percent-identity'),
         max_num_target_sequences = M.get_rule_param('anvi_run_trna_taxonomy', '--max-num-target-sequences'),
         write_buffer_size = M.get_rule_param('anvi_run_trna_taxonomy', '--write-buffer-size'),
-        all_hits_output_file = os.path.join(os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])), 'TAXONOMY-HITS.txt')
-    shell: "anvi-run-trna-taxonomy -c {params.contigs_db} {params.min_percent_identity} {params.max_num_target_sequences} {params.write_buffer_size} --all-hits-output-file {params.all_hits_output_file} -T {threads} >> {log} 2>&1"
-
-
-rule anvi_tabulate_trnaseq:
-    version: 1.0
-    log: os.path.join(dirs_dict['LOGS_DIR'], "anvi_tabulate_trnaseq.log")
-    input: rules.anvi_run_trna_taxonomy.output
-    output: touch(os.path.join(dirs_dict['CONVERT_DIR'], "TABULATE.done"))
-    params:
-        contigs_db = os.path.join(os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])), 'CONTIGS.db'),
-        specific_profile_db = os.path.join(os.path.join(os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])), 'SPECIFIC_COVERAGE'), 'PROFILE.db'),
-        nonspecific_profile_db = os.path.join(os.path.join(os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])), 'NONSPECIFIC_COVERAGE'), 'PROFILE.db'),
-        output_dir = os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])),
-        overwrite_output_destinations = M.get_rule_param('anvi_tabulate_trnaseq', '--overwrite-output-destinations')
-    shell: "anvi-tabulate-trnaseq -c {params.contigs_db} -s {params.specific_profile_db} -n {params.nonspecific_profile_db} --output-dir {params.output_dir} {params.overwrite_output_destinations} >> {log} 2>&1"
+        all_hits_output_file = os.path.join(os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_convert_trnaseq_database', '--project-name'])), 'TAXONOMY-HITS.txt')
+    shell: "anvi-run-trna-taxonomy -c {params.contigs_db_path} {params.min_percent_identity} {params.max_num_target_sequences} {params.write_buffer_size} --all-hits-output-file {params.all_hits_output_file} -T {threads} >> {log} 2>&1"
 
 
 if 'workflows/trnaseq' in workflow.included[0]:
diff --git a/anvio/workflows/trnaseq/__init__.py b/anvio/workflows/trnaseq/__init__.py
index df64afce41..b069387fe9 100644
--- a/anvio/workflows/trnaseq/__init__.py
+++ b/anvio/workflows/trnaseq/__init__.py
@@ -19,7 +19,7 @@
 
 
 __author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
+__copyright__ = "Copyleft 2015-2020, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
@@ -44,9 +44,8 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
             'iu_merge_pairs',
             'anvi_reformat_fasta',
             'anvi_trnaseq',
-            'anvi_merge_trnaseq',
-            'anvi_run_trna_taxonomy',
-            'anvi_tabulate_trnaseq'
+            'anvi_convert_trnaseq_database',
+            'anvi_run_trna_taxonomy'
         ])
 
         # "General" section of the workflow config file.
@@ -87,7 +86,7 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
             '--alignment-target-chunk-size',
             '--profiling-chunk-size'
         ]
-        rule_acceptable_params_dict['anvi_merge_trnaseq'] = [
+        rule_acceptable_params_dict['anvi_convert_trnaseq_database'] = [
             'run',
             '--project-name',
             '--max-reported-trna-seeds',
@@ -110,10 +109,6 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
             '--num-parallel-processes',
             '--write-buffer-size'
         ]
-        rule_acceptable_params_dict['anvi_tabulate_trnaseq'] = [
-            'run',
-            '--overwrite-output-destinations'
-        ]
         self.rule_acceptable_params_dict.update(rule_acceptable_params_dict)
 
         # Default values for accessible parameters: all defaults are written to the config file so
@@ -162,7 +157,7 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
                 '--alignment-target-chunk-size': anvio.D['alignment-target-chunk-size'][1]['default'],
                 'threads': 1
             },
-            'anvi_merge_trnaseq': {
+            'anvi_convert_trnaseq_database': {
                 'run': True,
                 '--project-name': "",
                 '--max-reported-trna-seeds': anvio.D['max-reported-trna-seeds'][1]['default'],
@@ -187,11 +182,6 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
                 '--write-buffer-size': anvio.D['write-buffer-size'][1]['default'],
                 'threads': 1
             },
-            'anvi_tabulate_trnaseq': {
-                'run': True,
-                '--overwrite-output-destinations': anvio.D['overwrite-output-destinations'][1]['default'],
-                'threads': 1
-            },
             'output_dirs': {}, # This ensures that output_dirs comes before max_threads in the file
             'max_threads': 1
         })
@@ -207,13 +197,12 @@ def init(self):
         super().init()
 
         self.run_iu_merge_pairs = self.get_param_value_from_config(['iu_merge_pairs', 'run'])
-        self.gzip_iu_merge_pairs_output = self.get_param_value_from_config(['iu_merge_pairs', '--gzip-output']) if self.run_iu_merge_pairs else False
+        self.gzip_iu_merge_pairs_output = self.get_param_value_from_config(['iu_merge_pairs', '--gzip-output'])
         self.run_anvi_reformat_fasta = self.get_param_value_from_config(['anvi_reformat_fasta', 'run'])
-        self.gzip_anvi_reformat_output = self.get_param_value_from_config(['anvi_reformat_fasta', '--gzip-output']) if self.run_anvi_reformat_fasta else False
+        self.gzip_anvi_reformat_output = self.get_param_value_from_config(['anvi_reformat_fasta', '--gzip-output'])
         self.run_anvi_trnaseq = self.get_param_value_from_config(['anvi_trnaseq', 'run'])
-        self.run_anvi_merge_trnaseq = self.get_param_value_from_config(['anvi_merge_trnaseq', 'run'])
+        self.run_anvi_convert_trnaseq_database = self.get_param_value_from_config(['anvi_convert_trnaseq_database', 'run'])
         self.run_anvi_run_trna_taxonomy = self.get_param_value_from_config(['anvi_run_trna_taxonomy', 'run'])
-        self.run_anvi_tabulate_trnaseq = self.get_param_value_from_config(['anvi_tabulate_trnaseq', 'run'])
 
         # Load table of sample info from samples_txt.
         self.samples_txt_file = self.get_param_value_from_config(['samples_txt'])
@@ -227,9 +216,12 @@ def init(self):
         self.check_samples_txt()
 
         self.sample_names = self.sample_info['sample'].tolist()
-        if 'treatment' not in self.sample_info:
+        if 'treatment' in self.sample_info['treatment']:
+            # The treatment is specified for each sample in samples_txt.
+            self.treatments = self.sample_info['treatment'].tolist()
+        else:
             # The treatment is the same for each sample and is set in the config file.
-            self.sample_info['treatment'] = [self.get_param_value_from_config(['anvi_trnaseq', '--treatment'])] * len(self.sample_names)
+            self.treatments = [self.get_param_value_from_config(['anvi_trnaseq', 'treatment'])] * len(self.sample_names)
         if self.run_iu_merge_pairs:
             self.treatments = self.sample_info['treatment']
             self.r1_paths = self.sample_info['r1'].tolist()
@@ -247,13 +239,6 @@ def init(self):
 
         self.target_files = self.get_target_files()
 
-        # The `anvi-run-workflow --cluster` option, which submits each rule as a separate job,
-        # requires that the rule's log directory exist before running the rule. This workflow
-        # differs from others by writing log files for each sample to log directories for each
-        # sample.
-        for sample_name in self.sample_names:
-            filesnpaths.gen_output_directory(os.path.join(self.dirs_dict['LOGS_DIR'], sample_name))
-
 
     def check_samples_txt(self):
         """Check the format and content of the file of sample information provided by the user."""
@@ -386,10 +371,10 @@ def check_input_paths(self):
 
     def check_project_name(self):
         """Check the name of the tRNA-seq project."""
-        if self.run_anvi_merge_trnaseq:
-            project_name = self.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])
+        if self.run_anvi_convert_trnaseq_database:
+            project_name = self.get_param_value_from_config(['anvi_convert_trnaseq_database', '--project-name'])
             if not project_name:
-                raise ConfigError("Since you are running anvi-merge-trnaseq, "
+                raise ConfigError("Since you are running anvi-convert-trnaseq-database, "
                                   "please provide a project name for the sample(s) in the config file.")
             try:
                 u.check_sample_id(project_name)
@@ -479,16 +464,13 @@ def get_target_files(self):
                 # were used as targets, they would be deleted upon workflow failure.
                 target_files.append(os.path.join(out_dir, "IDENT.done"))
 
-        if self.run_anvi_merge_trnaseq:
-            project_name = self.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])
+        if self.run_anvi_convert_trnaseq_database:
+            project_name = self.get_param_value_from_config(['anvi_convert_trnaseq_database', '--project-name'])
             target_files.append(os.path.join(self.dirs_dict['CONVERT_DIR'], "CONVERT.done"))
 
         if self.run_anvi_run_trna_taxonomy:
             target_files.append(os.path.join(self.dirs_dict['CONVERT_DIR'], "TAXONOMY.done"))
 
-        if self.run_anvi_tabulate_trnaseq:
-            target_files.append(os.path.join(self.dirs_dict['CONVERT_DIR'], "TABULATE.done"))
-
         return target_files
 
 
diff --git a/bin/anvi-compute-metabolic-enrichment b/bin/anvi-compute-metabolic-enrichment
index 95f1f30559..6b28eb4cdf 100755
--- a/bin/anvi-compute-metabolic-enrichment
+++ b/bin/anvi-compute-metabolic-enrichment
@@ -20,7 +20,7 @@ __authors__ = ['ivagljiva', 'adw96']
 __resources__ = [("A description of the enrichment script run by this program can be found in Shaiber et al 2020", "https://genomebiology.biomedcentral.com/articles/10.1186/s13059-020-02195-w"),
                   ("An example of pangenome functional enrichment in the context of the Prochlorococcus metapangenome from Delmont and Eren 2018 is included in the pangenomics tutorial", "http://merenlab.org/2016/11/08/pangenomics-v2/")]
 __tags__ = ["metabolism"]
-__requires__ = ['kegg-metabolism', 'user-metabolism', 'groups-txt', 'external-genomes', 'internal-genomes', 'functions']
+__requires__ = ['kegg-metabolism', 'groups-txt', 'external-genomes', 'internal-genomes', 'functions']
 __provides__ = ['functional-enrichment-txt']
 __description__ = ("A program that computes metabolic enrichment acros groups of genomes and metagenomes")
 
diff --git a/bin/anvi-merge-trnaseq b/bin/anvi-convert-trnaseq-database
similarity index 69%
rename from bin/anvi-merge-trnaseq
rename to bin/anvi-convert-trnaseq-database
index 83e520dddc..1d14d5eb22 100755
--- a/bin/anvi-merge-trnaseq
+++ b/bin/anvi-convert-trnaseq-database
@@ -16,15 +16,13 @@ __license__ = "GPL 3.0"
 __version__ = anvio.__version__
 __authors__ = ['semiller10']
 __requires__ = ['trnaseq-db']
-__provides__ = ['trnaseq-contigs-db', 'trnaseq-profile-db']
-__description__ = ("This program processes one or more anvi'o tRNA-seq databases produced by `anvi-trnaseq` "
-                   "and outputs anvi'o contigs and merged profile databases accessible to other tools in the anvi'o ecosystem. "
-                   "Final tRNA \"seed sequences\" are determined from a set of samples. "
-                   "Each sample yields a set of tRNA predictions stored in a tRNA-seq database, "
-                   "and these tRNAs may be shared among the samples. "
-                   "tRNA may be 3' fragments and thereby subsequences of longer tRNAs from other samples which would become seeds. "
-                   "The profile database produced by this program records the coverages of seeds in each sample. "
-                   "This program finalizes predicted nucleotide modification sites using tunable substitution rate parameters.")
+__provides__ = ['contigs-db', 'profile-db']
+__description__ = ("A program that processes one or more anvio' tRNA-seq databases generated by `anvi-trnaseq` to generate "
+                   "anvi'o contigs and merged profile databases that are accessible to the rest of the tools in anvi'o "
+                   "software ecosystem. Briefly, this program will determine final seed sequences from input tRNA-seq "
+                   "databases, determine their coverages across samples, identify tRNA modification sites, and INDELs "
+                   "associated with transcripts in each sample against the seed sequences and store all these data into "
+                   "resulting databases for interactive visualization of the data or in-depth analysis using other anvi'o frameworks")
 
 
 if __name__ == '__main__':
@@ -54,7 +52,7 @@ if __name__ == '__main__':
 
     args = parser.get_args(parser)
     try:
-        converter = trnaseq.DatabaseMerger(args)
+        converter = trnaseq.DatabaseConverter(args)
         converter.process()
     except ConfigError as e:
         print(e)
diff --git a/bin/anvi-delete-misc-data b/bin/anvi-delete-misc-data
index f3568485b2..56e1801cfb 100755
--- a/bin/anvi-delete-misc-data
+++ b/bin/anvi-delete-misc-data
@@ -17,7 +17,7 @@ __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['meren', 'ekiefl']
+__authors__ = ['meren']
 __requires__ = ["pan-db", "profile-db", "misc-data-items", "misc-data-layers", "misc-data-layer-orders", "misc-data-nucleotides", "misc-data-amino-acids"]
 __description__ = ("Remove stuff from 'additional data' or 'order' tables for either items or layers in either "
                    "pan or profile databases. OR, remove stuff from the 'additional data' tables for nucleotides "
diff --git a/bin/anvi-display-functions b/bin/anvi-display-functions
index 7a92402775..ba8bb15995 100755
--- a/bin/anvi-display-functions
+++ b/bin/anvi-display-functions
@@ -60,12 +60,6 @@ if __name__ == '__main__':
                                 "you can use that profile with `anvi-interactive`. It is actually objectively very cool.")
     groupD.add_argument(*anvio.A('profile-db'), **anvio.K('profile-db'))
 
-    groupE = parser.add_argument_group('GENES', "By default, anvi'o will look for genes in contigs databases that are identified "
-                                "by `prodigal`. But if you have generated your contigs databse with external gene calls, or have "
-                                "otherwise used another gene caller than the default, you can explicitly ask anvi'o to use that "
-                                "one to recover your genes.")
-    groupE.add_argument(*anvio.A('gene-caller'), **anvio.K('gene-caller'))
-
     groupF = parser.add_argument_group('VISUALS RELATED', "Parameters that give access to various adjustements regarding\
                                                            the interface.")
     groupF.add_argument(*anvio.A('title'), **anvio.K('title'))
diff --git a/bin/anvi-estimate-metabolism b/bin/anvi-estimate-metabolism
index 9eb15f697f..c560910af1 100755
--- a/bin/anvi-estimate-metabolism
+++ b/bin/anvi-estimate-metabolism
@@ -15,9 +15,8 @@ __license__ = "GPL 3.0"
 __version__ = anvio.__version__
 __authors__ = ['ivagljiva']
 __requires__ = ["contigs-db", "kegg-data", "kegg-functions", "profile-db", "collection", "bin",
-                "external-genomes", "internal-genomes", "metagenomes", "user-modules-data",
-                "enzymes-txt"]
-__provides__ = ["kegg-metabolism","user-metabolism"]
+                "external-genomes", "internal-genomes", "metagenomes"]
+__provides__ = ["kegg-metabolism",]
 __description__ = "Reconstructs metabolic pathways and estimates pathway completeness for a given set of contigs"
 
 
@@ -43,13 +42,6 @@ if __name__ == '__main__':
 
     parser = ArgumentParser(description=__description__)
 
-    groupD = parser.add_argument_group('METABOLISM DATA LOCATION', "What modules database(s) do you want to use?")
-    groupD.add_argument(*anvio.A('kegg-data-dir'), **anvio.K('kegg-data-dir'))
-    groupD.add_argument(*anvio.A('user-modules'), **anvio.K('user-modules', {'help': "Directory location where user-defined module "
-                                                                      "files (and database) are kept. You must have previously run "
-                                                                      "`anvi-setup-user-modules` on this directory for this to work."}))
-    groupD.add_argument(*anvio.A('only-user-modules'), **anvio.K('only-user-modules'))
-
     groupI = parser.add_argument_group('INPUT #1 - ESTIMATION ON SINGLE GENOMES OR METAGENOMES',
                                                    "The minimum you must provide this program is a contigs database. In which case "
                                                    "anvi'o will attempt to estimate metabolism for all contigs in it, assuming that "
@@ -57,6 +49,7 @@ if __name__ == '__main__':
                                                    "a metagenome, you should use the `--metagenome` flag to explicitly declare that.")
     groupI.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db', {'required': False}))
     groupI.add_argument(*anvio.A('metagenome-mode'), **anvio.K('metagenome-mode'))
+    groupI.add_argument(*anvio.A('kegg-data-dir'), **anvio.K('kegg-data-dir'))
 
     groupP = parser.add_argument_group('INPUT #2 - ESTIMATION ON BINS', "If you also provide a profile database AND a collection name, anvi'o will "
                                                    "estimate metabolism separately for each bin in your collection. You can also limit "
@@ -75,15 +68,6 @@ if __name__ == '__main__':
     groupM.add_argument(*anvio.A('internal-genomes'), **anvio.K('internal-genomes'))
     groupM.add_argument(*anvio.A('metagenomes'), **anvio.K('metagenomes'))
 
-    groupX = parser.add_argument_group('INPUT #4 - ESTIMATION ON A LIST OF ENZYMES',
-                                                   "If all you have is a list of enzymes, you can use them to estimate metabolism "
-                                                   "by creating an enzymes-txt file which describes at least 1) some sort of unique identifier "
-                                                   "for the associated gene (gene name, gene caller id, etc), 2) the enzyme accession, and 3) "
-                                                   "the annotation source. Provide this file as input, and this program will pretend that "
-                                                   "all enzymes in the file come from a single genome and will give back to you a summary of the "
-                                                   "metabolic capabilities encoded by this list of enzymes.")
-    groupX.add_argument(*anvio.A('enzymes-txt'), **anvio.K('enzymes-txt', {'required': False}))
-
     groupC = parser.add_argument_group('OUTPUT - GENERAL OPTIONS', "Parameters for controlling estimation output of any type. The output will be "
                                                  "TAB-delimited files which by default are prefixed with 'kegg-metabolism', but you can of course "
                                                  "change that name here.")
@@ -93,7 +77,7 @@ if __name__ == '__main__':
     groupC.add_argument(*anvio.A('only-complete'), **anvio.K('only-complete'))
 
     groupL = parser.add_argument_group('OUTPUT - LONG-FORMAT OPTIONS', "Parameters for controlling long-format output (the default).")
-    groupL.add_argument(*anvio.A('output-modes'), **anvio.K('output-modes'))
+    groupL.add_argument(*anvio.A('kegg-output-modes'), **anvio.K('kegg-output-modes'))
     groupL.add_argument(*anvio.A('list-available-modes'), **anvio.K('list-available-modes'))
     groupL.add_argument(*anvio.A('custom-output-headers'), **anvio.K('custom-output-headers'))
     groupL.add_argument(*anvio.A('list-available-output-headers'), **anvio.K('list-available-output-headers'))
diff --git a/bin/anvi-estimate-scg-taxonomy b/bin/anvi-estimate-scg-taxonomy
index cf9dbda484..d177eb3900 100755
--- a/bin/anvi-estimate-scg-taxonomy
+++ b/bin/anvi-estimate-scg-taxonomy
@@ -86,7 +86,6 @@ if __name__ == '__main__':
 
     groupE = parser.add_argument_group('AUTHORITY', "Assert your dominance.")
     groupE.add_argument(*anvio.A('scg-name-for-metagenome-mode'), **anvio.K('scg-name-for-metagenome-mode'))
-    groupE.add_argument(*anvio.A('report-scg-sequences-file-prefix'), **anvio.K('report-scg-sequences-file-prefix'))
     groupE.add_argument(*anvio.A('report-scg-frequencies'), **anvio.K('report-scg-frequencies'))
     groupE.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
 
diff --git a/bin/anvi-estimate-trna-taxonomy b/bin/anvi-estimate-trna-taxonomy
index f452c16df0..f24a0cdb26 100755
--- a/bin/anvi-estimate-trna-taxonomy
+++ b/bin/anvi-estimate-trna-taxonomy
@@ -18,7 +18,7 @@ __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
 __authors__ = ['meren']
-__requires__ = ['profile-db', 'contigs-db', 'trna-taxonomy', 'collection', 'bin', 'metagenomes', 'dna-sequence']
+__requires__ = ['profile-db', 'contigs-db', 'trna-taxonomy', 'collection', 'bin', 'metagenomes']
 __provides__ = ['genome-taxonomy', 'genome-taxonomy-txt']
 __resources__ = []
 __description__ = ("Estimates taxonomy at genome and metagenome level using tRNA sequences.")
diff --git a/bin/anvi-experimental-organization b/bin/anvi-experimental-organization
index 0164eadc99..fff6204263 100755
--- a/bin/anvi-experimental-organization
+++ b/bin/anvi-experimental-organization
@@ -50,7 +50,12 @@ def experimental_organization(args):
         utils.is_this_name_OK_for_database('--name parameter', args.name)
 
     if args.profile_db:
-        split_names = utils.get_all_item_names_from_the_database(args.profile_db)
+        profile_db = dbops.ProfileDatabase(args.profile_db)
+        if int(profile_db.meta['merged']):
+            split_names = profile_db.db.get_single_column_from_table('mean_coverage_splits', 'contig')
+        else:
+            split_names = profile_db.db.get_single_column_from_table('atomic_data_splits', 'contig')
+        profile_db.disconnect()
 
     db_paths = {'CONTIGS.db': args.contigs_db}
     config = ClusteringConfiguration(args.config_file, args.input_directory, db_paths = db_paths, row_ids_of_interest = split_names)
diff --git a/bin/anvi-export-gene-calls b/bin/anvi-export-gene-calls
index 60a7884d36..488d6282c9 100755
--- a/bin/anvi-export-gene-calls
+++ b/bin/anvi-export-gene-calls
@@ -18,7 +18,7 @@ __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['meren', 'ekiefl']
+__authors__ = ['meren']
 __requires__ = ['contigs-db']
 __provides__ = ['gene-calls-txt']
 __description__ = "Export gene calls from an anvi'o contigs database"
@@ -45,10 +45,6 @@ def main(args):
         raise ConfigError("You should provide an output file name so anvi'o does not have to make up a silly "
                            "name :/")
 
-    if not args.gene_caller:
-        raise ConfigError("You must provide a source for your gene calls. You can always use the flag "
-                          "`--list-gene-callers` to see what is available in your contigs-db.")
-
     filesnpaths.is_output_file_writable(args.output_file)
 
     contigs_db = dbops.ContigsSuperclass(args)
@@ -94,19 +90,17 @@ if __name__ == '__main__':
 
     parser = ArgumentParser(description=__description__)
 
-    groupA = parser.add_argument_group('SOURCE FOR GENE DATA', "You want to export gene calls from where?")
-    groupA.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
-
-    groupB = parser.add_argument_group('SOURCE FOR GENE CALLS')
-    groupB.add_argument(*anvio.A('gene-caller'), **anvio.K('gene-caller', {'help': "Which gene caller(s) "
-                "would you like to export gene calls for? If providing multiple they should be comma-separated "
-                "(no spaces). If you don't know, use --list-gene-callers.", 'default': None,}))
-    groupB.add_argument(*anvio.A('list-gene-callers'), **anvio.K('list-gene-callers'))
-
-    groupC = parser.add_argument_group('MATTERS OF REPORTING')
-    groupC.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
-    groupC.add_argument('--skip-sequence-reporting', action = 'store_true', help = "By default, exported gene "
-                "calls have an amino acid sequences column in the output. Turn this behavior off with this flag")
+    parser.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
+    parser.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
+    parser.add_argument(*anvio.A('gene-caller'), **anvio.K('gene-caller',
+            {'help': "Which gene caller(s) would you like to export gene calls for? If providing "
+                     "multiple they should be comma-separated (no spaces). If you don't know, use "
+                     "--list-gene-callers",
+             'default': None,}))
+    parser.add_argument(*anvio.A('list-gene-callers'), **anvio.K('list-gene-callers'))
+    parser.add_argument('--skip-sequence-reporting', action = 'store_true',
+            help = "By default, exported gene calls have an amino acid sequences column in the output. "
+                   "Turn this behavior off with this flag")
 
     args = parser.get_args(parser)
 
diff --git a/bin/anvi-export-misc-data b/bin/anvi-export-misc-data
index 025393413d..ddfab0b050 100755
--- a/bin/anvi-export-misc-data
+++ b/bin/anvi-export-misc-data
@@ -17,7 +17,7 @@ __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['meren', 'ekiefl']
+__authors__ = ['meren']
 __requires__ = ['pan-db', 'profile-db', 'contigs-db', 'misc-data-items', 'misc-data-layers', 'misc-data-layer-orders', 'misc-data-nucleotides', 'misc-data-amino-acids']
 __provides__ = ['misc-data-items-txt', 'misc-data-layers-txt', 'misc-data-layer-orders-txt', 'misc-data-nucleotides-txt', 'misc-data-amino-acids-txt']
 __description__ = "Export additional data or order tables in pan or profile databases for items or layers"
diff --git a/bin/anvi-gen-structure-database b/bin/anvi-gen-structure-database
index eea9c392af..75202c532f 100755
--- a/bin/anvi-gen-structure-database
+++ b/bin/anvi-gen-structure-database
@@ -23,9 +23,10 @@ __resources__ = [("A conceptual tutorial on the structural biology capabilities
                   "http://merenlab.org/tutorials/infant-gut/#chapter-vii-linking-genomic-heterogeneity-to-protein-structures")]
 __requires__ = ['contigs-db', 'pdb-db']
 __provides__ = ['structure-db']
-__description__ = ("Creates a database of protein structures. Predict protein structures using "
-                   "template-based homology modelling of genes in your contigs database, or import "
-                   "pre-computed PDB structures you already have.")
+__description__ = ("Identifies genes in your contigs database that encode proteins that are "
+                   "homologous to proteins with solved structures. If sufficiently similar "
+                   "homologs are identified, they are used as structural templates to predict "
+                   "the 3D structure of proteins in your contigs database")
 
 
 @terminal.time_program
@@ -55,9 +56,6 @@ if __name__ == '__main__':
     groupO.add_argument(*anvio.A('output-db-path'), **anvio.K('output-db-path'))
     groupO.add_argument(*anvio.A('dump-dir'), **anvio.K('dump-dir'))
 
-    groupI = parser.add_argument_group('NON-MODELLER OPTIONS', 'Alternatives to using MODELLER')
-    groupI.add_argument(*anvio.A('external-structures'), **anvio.K('external-structures'))
-
     groupM = parser.add_argument_group('MODELLER PARAMS', 'Parameters for MODELLER\'s homology modeling.')
     groupM.add_argument("--num-models", "-N", type=int, default=1, help = \
                         """This parameter determines the number of predicted structures that are
diff --git a/bin/anvi-get-sequences-for-gene-calls b/bin/anvi-get-sequences-for-gene-calls
index 964a330f28..f6b644c550 100755
--- a/bin/anvi-get-sequences-for-gene-calls
+++ b/bin/anvi-get-sequences-for-gene-calls
@@ -52,20 +52,13 @@ def export_from_contigs(args):
             raise ConfigError("External gene calls file is not compatble with GFF format.")
         if args.flank_length:
             raise ConfigError("Due to the lazy programming, --flank-length and --export-gff3 flags are incompatible :(")
-        if args.annotation_source:
-            func_kwargs['gene_annotation_source'] = args.annotation_source
 
         c.gen_GFF3_file_of_sequences_for_gene_caller_ids(**func_kwargs)
     else:
-        if args.annotation_source:
-            raise ConfigError("A functional annotation source is only relevant for the GFF output format.")
         c.get_sequences_for_gene_callers_ids(**func_kwargs, report_aa_sequences=args.get_aa_sequences, flank_length=args.flank_length, output_file_path_external_gene_calls=args.external_gene_calls)
 
 
 def export_from_genomes_storage(genomes_storage_db_path, output_file_path):
-    if args.export_gff3:
-        raise ConfigError("GFF output is only relevant if you are working with a contigs database :/")
-
     g = genomestorage.GenomeStorage(genomes_storage_db_path)
     g.gen_combined_aa_sequences_FASTA(output_file_path)
 
@@ -97,13 +90,14 @@ if __name__ == '__main__':
 
     parser = ArgumentParser(description=__description__)
 
-    groupA = parser.add_argument_group('OPTION #1: GET SEQUENCES FROM A CONTIGS DB')
+    groupA = parser.add_argument_group('OPTION #1: EXPORT FROM CONTIGS DB')
     groupA.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db', {'required': False}))
     groupA.add_argument(*anvio.A('gene-caller-ids'), **anvio.K('gene-caller-ids'))
     groupA.add_argument(*anvio.A('flank-length'), **anvio.K('flank-length'))
     groupA.add_argument(*anvio.A('delimiter'), **anvio.K('delimiter'))
     groupA.add_argument(*anvio.A('report-extended-deflines'), **anvio.K('report-extended-deflines'))
     groupA.add_argument(*anvio.A('wrap'), **anvio.K('wrap'))
+    groupA.add_argument(*anvio.A('export-gff3'), **anvio.K('export-gff3'))
     groupA.add_argument(*anvio.A('get-aa-sequences'), **anvio.K('get-aa-sequences'))
     groupA.add_argument(*anvio.A('external-gene-calls'), **anvio.K('external-gene-calls',
                                         {"help": ("An optional external gene calls file path that precisely "
@@ -111,16 +105,12 @@ if __name__ == '__main__':
                                                   "you can create an anvi'o contigs database from the resulting "
                                                   "genes FASTA file without having to do a gene calling from scratch.")}))
 
-    groupB = parser.add_argument_group('OPTION #1.1: STORE SEQEUNCES AS GFF?', "This only works with OPTION #1 :/")
-    groupB.add_argument(*anvio.A('export-gff3'), **anvio.K('export-gff3'))
-    groupB.add_argument(*anvio.A('annotation-source'), **anvio.K('annotation-source'))
-
-    groupC = parser.add_argument_group('OPTION #2: GET SEQUENCES FROM A GENOMES STORAGE')
-    groupC.add_argument(*anvio.A('genomes-storage'), **anvio.K('genomes-storage', {'required': False}))
-    groupC.add_argument(*anvio.A('genomes-names'), **anvio.K('genomes-names'))
+    groupB = parser.add_argument_group('OPTION #2: EXPORT FROM A GENOMES STORAGE')
+    groupB.add_argument(*anvio.A('genomes-storage'), **anvio.K('genomes-storage', {'required': False}))
+    groupB.add_argument(*anvio.A('genomes-names'), **anvio.K('genomes-names'))
 
-    groupD = parser.add_argument_group('OPTIONS COMMON TO ALL INPUTS')
-    groupD.add_argument(*anvio.A('output-file'), **anvio.K('output-file', {'required': True}))
+    groupC = parser.add_argument_group('OPTIONS COMMON TO ALL INPUTS')
+    groupC.add_argument(*anvio.A('output-file'), **anvio.K('output-file', {'required': True}))
 
     args = parser.get_args(parser)
 
diff --git a/bin/anvi-get-sequences-for-hmm-hits b/bin/anvi-get-sequences-for-hmm-hits
index b18183737d..e766c48d18 100755
--- a/bin/anvi-get-sequences-for-hmm-hits
+++ b/bin/anvi-get-sequences-for-hmm-hits
@@ -76,12 +76,9 @@ def main(args):
     if not (args.internal_genomes or args.external_genomes or args.contigs_db or args.profile_db):
         raise ConfigError("You gotta give this program some input files :/ Come on.")
 
-    if args.list_hmm_sources or args.list_available_gene_names:
+    if args.list_hmm_sources:
         if args.contigs_db:
-            if args.list_hmm_sources:
-                ContigsDatabase(args.contigs_db).list_available_hmm_sources()
-            else:
-                hmmops.SequencesForHMMHits(args.contigs_db).list_available_gene_names(sources=[s.strip() for s in args.hmm_sources.split(',')] if args.hmm_sources else [])
+            ContigsDatabase(args.contigs_db).list_available_hmm_sources()
         elif args.external_genomes or args.internal_genomes:
             genomedescriptions.GenomeDescriptions(args).list_HMM_info_and_quit()
 
diff --git a/bin/anvi-get-split-coverages b/bin/anvi-get-split-coverages
index ca9a3ea06f..4e10400c9c 100755
--- a/bin/anvi-get-split-coverages
+++ b/bin/anvi-get-split-coverages
@@ -39,7 +39,6 @@ def main(args):
     utils.is_profile_db(args.profile_db)
 
     profile_db = dbops.ProfileSuperclass(args)
-    profile_db_variant = utils.get_db_variant(args.profile_db)
 
     if args.list_splits:
         print('\n'.join(sorted(list(profile_db.split_names))))
@@ -184,7 +183,7 @@ def main(args):
                 previous_split_name = split_names[i-1]
                 prior_nucleotides_in_contig += target_splits_dict[previous_split_name]['stop']
 
-            split_coverage_values = auxiliarydataops.AuxiliaryDataForSplitCoverages(profile_db.auxiliary_data_path, profile_db.p_meta['contigs_db_hash'], db_variant=profile_db_variant).get(split_name)
+            split_coverage_values = auxiliarydataops.AuxiliaryDataForSplitCoverages(profile_db.auxiliary_data_path, profile_db.p_meta['contigs_db_hash']).get(split_name)
 
             num_nucleotides = len(list(split_coverage_values.values())[0])
 
diff --git a/bin/anvi-get-tlen-dist-from-bam b/bin/anvi-get-tlen-dist-from-bam
deleted file mode 100755
index 086c0978b4..0000000000
--- a/bin/anvi-get-tlen-dist-from-bam
+++ /dev/null
@@ -1,76 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8
-
-import sys
-import numpy as np
-import pandas as pd
-
-import anvio
-import anvio.dbops as dbops
-import anvio.bamops as bamops
-import anvio.utils as utils
-import anvio.terminal as terminal
-import anvio.filesnpaths as filesnpaths
-
-from anvio.argparse import ArgumentParser
-from anvio.errors import ConfigError, FilesNPathsError
-
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
-__credits__ = []
-__license__ = "GPL 3.0"
-__version__ = anvio.__version__
-__authors__ = ['meren']
-__provides__ = []
-__requires__ = ["bam-file"]
-__description__ = ("Report the distribution of template lengths from a BAM file. The purpose of "
-                   "this is to get an idea about the insert size distribution in a BAM file "
-                   "rapidly by summarizing distances between each paired-end read in a given "
-                   "read recruitment experiment.")
-
-
-pp = terminal.pretty_print
-
-
-@terminal.time_program
-def main(args):
-    bamops.PairedEndTemplateDist(args).process()
-
-
-if __name__ == '__main__':
-    parser = ArgumentParser(description=__description__)
-
-    parser.add_argument('bam_file', metavar = 'BAM_FILE', help = "An indexed BAM file")
-
-    groupA = parser.add_argument_group('INPUT OPTIONS', "Things you don't care but should.")
-    groupA.add_argument('--min-template-length-frequency', type=int, default=10, help="How many times a template "
-                        "lenght should be observed to be considered as a viable template lenght? If "
-                        "this number is zero, you will have an extremely large number template lengths "
-                        "that will likely be due to noise. This number can be best set as a function of "
-                        "the total number of mapped reads in a bam file. The default value is set with "
-                        "the assumption that you have millions of reads in the BAM file.")
-    groupA.add_argument('--max-template-length-to-consider', type=int, default=500000, help="Some paired end reads will "
-                        "map incredibly distant locations given the linear sequences you have used for "
-                        "read recruitment if the DNA templates were circular in the sample used for "
-                        "sequencing. Which is a beautiful thing, but can ruin your histogram. Using this "
-                        "parameter, you can discard paired end reads that are extremely distant from "
-                        "one another.")
-
-
-    groupB = parser.add_argument_group('OUTPUT OPTIONS', "Output options.")
-    groupB.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
-    groupB.add_argument('--plot-data', action='store_true', default=False, help="In addition to providing "
-                        "you with a TAB-delimited output file, anvi'o can also try to plot a summary "
-                        "histogram for the template length distribution across ALL contigs in a given BAM "
-                        "file")
-
-    args = parser.get_args(parser)
-
-    try:
-        main(args)
-    except ConfigError as e:
-        print(e)
-        sys.exit(-1)
-    except FilesNPathsError as e:
-        print(e)
-        sys.exit(-1)
diff --git a/bin/anvi-import-collection b/bin/anvi-import-collection
index 16458686f6..bb5ca0a0d8 100755
--- a/bin/anvi-import-collection
+++ b/bin/anvi-import-collection
@@ -63,14 +63,10 @@ def main(args):
         input_names_missing_from_contigs_db = [n for n in input_data_file_content if n not in contigs_basic_info]
 
         if len(input_names_missing_from_contigs_db):
-            if len(input_names_missing_from_contigs_db) == len(input_data_file_content):
-                raise ConfigError(f"None of the contig names in your input file matches to the contig names found in the contigs :( "
-                                  f"Maybe those are split names and you are mistakenly using `--contigs-mode` flag? Well, here is an "
-                                  f"example: {input_names_missing_from_contigs_db[0]}.")
-            else:
-                raise ConfigError(f"OK. Of the {len(input_data_file_content)} in your input file, {len(input_names_missing_from_contigs_db)} "
-                                  f"have no match to any contig names found in your contigs database. Here is an example contig name from "
-                                  f"your file that does not match to anything in the contigs db: {input_names_missing_from_contigs_db[0]}")
+            raise ConfigError("OK. %d of %d contig names in your input file have nothing to do with the contig names found in "
+                              "the contigs database. Here is an example: %s." % (len(input_names_missing_from_contigs_db),
+                                                                                 len(input_data_file_content),
+                                                                                 input_names_missing_from_contigs_db[0]))
 
         # convert input data names to split names:
         contig_names = list(input_data_file_content.keys())
diff --git a/bin/anvi-import-misc-data b/bin/anvi-import-misc-data
index 954a470ebc..fb13ff1ac7 100755
--- a/bin/anvi-import-misc-data
+++ b/bin/anvi-import-misc-data
@@ -17,7 +17,7 @@ __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['meren', 'ekiefl']
+__authors__ = ['meren']
 __resources__ = [("A primer on anvi'o misc data tables", "http://merenlab.org/2017/12/11/additional-data-tables/"),]
 __requires__ = ['pan-db', 'profile-db', 'contigs-db', 'misc-data-items-txt', 'dendrogram', 'phylogeny', 'misc-data-layers-txt', 'misc-data-layer-orders-txt', 'misc-data-nucleotides-txt',  'misc-data-amino-acids-txt']
 __provides__ = ['misc-data-items', 'misc-data-layers', 'misc-data-layer-orders', 'misc-data-nucleotides', 'misc-data-amino-acids']
diff --git a/bin/anvi-init-bam b/bin/anvi-init-bam
index 9bd2c49a70..a8960bc8a3 100755
--- a/bin/anvi-init-bam
+++ b/bin/anvi-init-bam
@@ -18,7 +18,7 @@ __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['meren', 'ekiefl']
+__authors__ = ['meren']
 __requires__ = ['raw-bam-file',]
 __provides__ = ['bam-file',]
 __description__ = "Sort/Index BAM files"
diff --git a/bin/anvi-interactive b/bin/anvi-interactive
index 79d2a24f7c..a853364141 100755
--- a/bin/anvi-interactive
+++ b/bin/anvi-interactive
@@ -54,7 +54,7 @@ if __name__ == '__main__':
                                     anvi'o, and want to see the distribution of your bins across samples. In these cases\
                                     anvi'o will cluster your bins and based on multiple metrics. Because this particular\
                                     clustering will be done on the fly within anvi'o interactive class, you get to define\
-                                    a distance metric and a linkage method using --linkage and --distance parameters if\
+                                    a disntance metric and a linkage method using --linkage and --distance parameters if\
                                     you want!"}))
 
     groupB = parser.add_argument_group('MANUAL INPUTS', "Mandatory input parameters to start the interactive interface\
diff --git a/bin/anvi-matrix-to-newick b/bin/anvi-matrix-to-newick
index 71b08cf5de..ed19b25d5f 100755
--- a/bin/anvi-matrix-to-newick
+++ b/bin/anvi-matrix-to-newick
@@ -2,13 +2,12 @@
 # -*- coding: utf-8
 
 import sys
+from anvio.argparse import ArgumentParser
 
 import anvio
-import anvio.utils as utils 
 import anvio.terminal as terminal
 import anvio.clustering as clustering
 
-from anvio.argparse import ArgumentParser
 from anvio.errors import ConfigError, FilesNPathsError
 
 
@@ -25,24 +24,12 @@ __resources__ = [("See this program in action in the pangenomics tutorial", "htt
 
 run = terminal.Run()
 progress = terminal.Progress()
-PL = terminal.pluralize
 
 def main(args):
     if not args.output_file:
         args.output_file = args.input_matrix + '.newick'
 
     run.info('Input matrix file', args.input_matrix)
-
-    # a quick check of the data to see if there are any missing
-    # values
-    _, _, _, vectors = utils.get_vectors_from_TAB_delim_matrix(args.input_matrix)
-    num_missing_data = len([item for sublist in vectors for item in sublist if item == None])
-    if num_missing_data:
-        run.warning(f"Oy. Your file contains {PL('missing data item', num_missing_data)}. Anvi'o will do its "
-                    f"best to accomodate for it, but you should take a careful look at your output tree (that, "
-                    f"of course, if everything works after this message). Please note that anvi'o will not "
-                    f"normalize your data prior to clustering and will assume that it is already normalized.")
-
     progress.new('Analyzing input file')
     clustering.create_newick_file_from_matrix_file(args.input_matrix, args.output_file, linkage=args.linkage,
                                     distance=args.distance, transpose=args.transpose, progress=progress,
diff --git a/bin/anvi-merge b/bin/anvi-merge
index a3d77f40e3..79e86d4f90 100755
--- a/bin/anvi-merge
+++ b/bin/anvi-merge
@@ -27,7 +27,7 @@ if __name__ == '__main__':
     parser = ArgumentParser(description=__description__)
 
     parser.add_argument('input', metavar = 'SINGLE_PROFILE(S)', nargs='+',
-                        help = "Anvi'o single profiles to merge")
+                        help = "Anvo'o single profiles to merge")
 
     parser.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
     parser.add_argument(*anvio.A('output-dir'), **anvio.K('output-dir'))
diff --git a/bin/anvi-migrate b/bin/anvi-migrate
index a7ff28d3f9..64bfe3df78 100755
--- a/bin/anvi-migrate
+++ b/bin/anvi-migrate
@@ -94,13 +94,10 @@ class Migrater(object):
             except:
                 pass
 
-
-        if self.db_path.endswith('GENOMES.h5'):
-            utils.check_h5py_module()
-            import h5py
-
         try:
             if self.db_path.endswith('GENOMES.h5'):
+                utils.check_h5py_module()
+                import h5py
                 fp = h5py.File(self.db_path, 'r')
 
                 self.db_type = 'genomestorage'
diff --git a/bin/anvi-plot-trnaseq b/bin/anvi-plot-trnaseq
deleted file mode 100755
index 0ae88bc5ba..0000000000
--- a/bin/anvi-plot-trnaseq
+++ /dev/null
@@ -1,43 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8
-"""Plot coverage and modification data from flexible groups of tRNA-seq seeds"""
-
-import sys
-
-import anvio
-import anvio.trnaseq as trnaseq
-
-from anvio.errors import ConfigError
-from anvio.argparse import ArgumentParser
-
-
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
-__credits__ = []
-__license__ = "GPL 3.0"
-__version__ = anvio.__version__
-__maintainer__ = "Samuel Miller"
-__email__ = "samuelmiller10@gmail.com"
-__requires__ = ['trnaseq-contigs-db', 'trnaseq-seed-txt', 'modifications-txt']
-__provides__ = ['trnaseq-plot']
-__description__ = "A program to write plots of coverage and modification data from flexible groups of tRNA-seq seeds"
-
-
-if __name__ == '__main__':
-    parser = ArgumentParser(description=__description__)
-
-    group1 = parser.add_argument_group('MANDATORY')
-    group1.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
-    group1.add_argument(*anvio.A('seeds-specific-txt'), **anvio.K('seeds-specific-txt'))
-    group1.add_argument(*anvio.A('modifications-txt'), **anvio.K('modifications-txt'))
-
-    group2 = parser.add_argument_group('OPTIONAL')
-    group2.add_argument(*anvio.A('output-dir'), **anvio.K('output-dir'))
-
-    args = parser.get_args(parser)
-    try:
-        result_plotter = trnaseq.ResultPlotter(args)
-        result_plotter.go()
-    except ConfigError as e:
-        print(e)
-        sys.exit(-1)
diff --git a/bin/anvi-profile b/bin/anvi-profile
index 72c87f182d..d141eef4d4 100755
--- a/bin/anvi-profile
+++ b/bin/anvi-profile
@@ -48,7 +48,6 @@ if __name__ == '__main__':
                         help = 'Sorted and indexed BAM file to analyze. Takes a long time depending on the\
                                 length of the file and parameters used for profiling.')
 
-    groupJ = parser.add_argument_group('FILTERS', 'Choose which reads to work (or not to work) with like a pro.')
     groupM = parser.add_argument_group('EXTRAS', 'Things that are not mandatory, but can be useful if/when declared.')
     groupX = parser.add_argument_group('HIERARCHICAL CLUSTERING', "Do you want your splits to be clustered? Yes? No?\
                                         Maybe? Remember: By default, anvi-profile will not perform hierarchical clustering\
@@ -63,11 +62,6 @@ if __name__ == '__main__':
 
     groupI.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db', {'required': False}))
     groupI.add_argument(*anvio.A('blank-profile'), **anvio.K('blank-profile'))
-    groupJ.add_argument(*anvio.A('min-percent-identity'), **anvio.K('min-percent-identity', {'help': 
-                            'Ignore any reads with a percent identity to the reference less '
-                            'than this number, e.g. 95. If not provided, all reads in the BAM '
-                            'file will be used (and things will run faster).', 'default': None}))
-    groupJ.add_argument(*anvio.A('fetch-filter'), **anvio.K('fetch-filter'))
     groupM.add_argument(*anvio.A('output-dir'), **anvio.K('output-dir'))
     groupM.add_argument(*anvio.A('overwrite-output-destinations'), **anvio.K('overwrite-output-destinations'))
     groupM.add_argument(*anvio.A('sample-name'), **anvio.K('sample-name'))
@@ -75,6 +69,10 @@ if __name__ == '__main__':
     groupM.add_argument(*anvio.A('skip-SNV-profiling'), **anvio.K('skip-SNV-profiling'))
     groupM.add_argument(*anvio.A('skip-INDEL-profiling'), **anvio.K('skip-INDEL-profiling'))
     groupM.add_argument(*anvio.A('profile-SCVs'), **anvio.K('profile-SCVs'))
+    groupM.add_argument(*anvio.A('min-percent-identity'), **anvio.K('min-percent-identity', {'help': 
+                            'Ignore any reads with a percent identity to the reference less '
+                            'than this number, e.g. 95. If not provided, all reads in the BAM '
+                            'file will be used (and things will run faster).', 'default': None}))
     groupM.add_argument(*anvio.A('description'), **anvio.K('description'))
     groupX.add_argument(*anvio.A('cluster-contigs'), **anvio.K('cluster-contigs'))
     groupX.add_argument(*anvio.A('skip-hierarchical-clustering'), **anvio.K('skip-hierarchical-clustering'))
diff --git a/bin/anvi-profile-blitz b/bin/anvi-profile-blitz
index 96a7a569a0..348b1ed803 100755
--- a/bin/anvi-profile-blitz
+++ b/bin/anvi-profile-blitz
@@ -2,9 +2,15 @@
 # -*- coding: utf-8
 
 import sys
+import numpy as np
+import pandas as pd
 
 import anvio
+import anvio.dbops as dbops
+import anvio.bamops as bamops
+import anvio.utils as utils
 import anvio.terminal as terminal
+import anvio.filesnpaths as filesnpaths
 
 from anvio.argparse import ArgumentParser
 from anvio.errors import ConfigError, FilesNPathsError
diff --git a/bin/anvi-report-inversions b/bin/anvi-report-inversions
deleted file mode 100755
index be47c2d303..0000000000
--- a/bin/anvi-report-inversions
+++ /dev/null
@@ -1,107 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8
-
-import sys
-
-import anvio
-import anvio.inversions as inversions
-
-from anvio.errors import ConfigError, FilesNPathsError
-from anvio.terminal import time_program, Run
-
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
-__license__ = "GPL 3.0"
-__version__ = anvio.__version__
-__authors__ = ['meren', 'FlorianTrigodet']
-__requires__ = ["contigs-db", "profile-db"]
-__provides__ = ["inversions"]
-__description__ = "Reports inversions"
-
-run = Run()
-
-@time_program
-def main(args):
-    I = inversions.Inversions(args)
-    I.process()
-    I.report()
-
-if __name__ == '__main__':
-    from anvio.argparse import ArgumentParser
-
-    parser = ArgumentParser(description=__description__)
-
-    group0 = parser.add_argument_group('WHO ARE YOU?', "Are you a part of our very secret group? FIND OUT HERE!.")
-    group0.add_argument('--my-name-is', default='anyone', metavar="YOUR NAME", help="What is your name?", required=True)
-
-    groupA = parser.add_argument_group('INPUT DATA', "Essentially a BAMs and profiles file and nothing more.")
-    groupA.add_argument(*anvio.A('bams-and-profiles'), **anvio.K('bams-and-profiles'))
-
-    groupB = parser.add_argument_group('KEY ALGORITHMIC COMPONENT 01: IDENTIFYING REGIONS OF INTERSET', "How should anvi'o identify regions of interest "
-                    "based on REV/REV and FWD/FWD paired-end reads? Defaults will be good for most cases.")
-    groupB.add_argument('--min-coverage-to-define-stretches', default=10, type=int, help="Value to break up contigs into 'stretches' of "
-                    "high-coverage regions of FWD/FWD and REV/REV reads. The lower the value, the more noise. This acts as a low-pass "
-                    "filter if it helps you imagine how it works.", metavar="INT")
-    groupB.add_argument('--min-stretch-length', default=50, type=int, help="These are not the stretches you are looking for (unless they "
-                    "are longer than this, obv).", metavar="INT")
-    groupB.add_argument('--min-distance-between-independent-stretches', default=2000, type=int, help="Our 'low pass' filter may break a "
-                    "single stretch of reasonable coverage of FWD/FWD and REV/REV reads into multiple pieces. To recover from that, we "
-                    "wish to merge the fragmented ones if they are closer to one another than this value.", metavar="INT")
-    groupB.add_argument('--num-nts-to-pad-a-stretch', default=100, type=int, help="Some leeway towards upstream and downstream context "
-                    "that is essential to not miss key information due to coverage variation that may influence the beginnings and ends "
-                    "of final stretches.", metavar="INT")
-
-    groupC = parser.add_argument_group('KEY ALGORITHMIC COMPONENT 02: FINDING PALINDROMES', "Some essential parameters to find palindromes in sequence "
-                    "stretches anvi'o identified in the previous step")
-    groupC.add_argument(*anvio.A('min-palindrome-length'), **anvio.K('min-palindrome-length'))
-    groupC.add_argument(*anvio.A('max-num-mismatches'), **anvio.K('max-num-mismatches'))
-    groupC.add_argument(*anvio.A('min-distance'), **anvio.K('min-distance'))
-
-    groupD = parser.add_argument_group('KEY ALGORITHMIC COMPONENT 03: CONFIRMING INVERSIONS', "Which palindromes are inversions? A one million dollar "
-                    "question that is quite difficult to get right (but as anvi'o does get it right frequently).")
-    groupD.add_argument('--process-only-inverted-reads', default=False, action="store_true", help="At one point, "
-                    "anvi'o will have all the regions of interest in contigs that include palindromes that look "
-                    "promising. At that point, it will access to short reads in the BAM file to determine which "
-                    "palindromes in fact represent active inversions by searching for unique constructs that "
-                    "can only occur when a genomic region did funny things. One option is to search for such "
-                    "reads that are evidence of inversion activity among paired-end reads that are in FWD/FWD "
-                    "or REV/REV orientation. Which is defined by the fetch-filter 'inversions'. However, this "
-                    "may be too limiting as there may be paired-end reads that are too downstream or too upstream "
-                    "to the region of interest, and thus mapping FWD/REV or REV/FWD orientation just like every "
-                    "other non-rebellious paired end read, YET including one of the constructs. Thus, searching "
-                    "all reads may in fact help the identification of more inversions (especially those that are "
-                    "covered less), with only an added disadvantage of compute time, which should be negligible "
-                    "in almost all instances (since anvi'o at this stage is only focusing on very specific "
-                    "regions of genomes). But this parameter is here in case you insist on only using inverted "
-                    "paired-end reads and assert your authority. You do you and turn on the flag, you rebellious "
-                    "scientist who will likely miss a lot of additoinal inversions like a boss.")
-
-    groupE = parser.add_argument_group('OTHER PARAMETERS OF CONVENIENCE', "For the never satisfied.")
-    groupE.add_argument(*anvio.A('verbose'), **anvio.K('verbose'))
-    groupE.add_argument('--only-report-from', default=None, type=str, help="This is more of a debugging flag more than anything, and can be "
-                    "helpful to work on problematic cases over and over again. To engage this mode, you need to mention a region mentioned in "
-                    "in your output file or printouts you see when you use the `--verbose` flag. It will be different from project to project, "
-                    "but it should look something like this: CONTIG_NAME_5364768_5365139. When declared, anvi'o will only report data from this "
-                    "particular region, and nothing at all if it does not find it in your while processing palindromes.", metavar="REGION_STRING")
-
-
-    args = parser.get_args(parser)
-
-
-    try:
-        # "'Security from obscurity; I like' --Ron Rivest" --Meren.
-        import base64
-        if eval(compile(base64.b64decode('bm90IGFyZ3MubXlfbmFtZV9pcy51cHBlcigpIGluIHN0cihiYXNlNjQuYjY0ZGVjb2RlKCdUVVZTUlU1R1RFOVNTVUZPJykp'), '<string>', 'eval')):
-            raise ConfigError("This program is not ready for prime-time, and its use is limited to a "
-                              "very secret group of people (and anvi'o is VERY SAD to see that you "
-                              "are not one of them).")
-        else:
-            run.info_single('Tired Gandalf: You shall .. pass', mc='green', nl_before=1)
-
-        main(args)
-    except ConfigError as e:
-        print(e)
-        sys.exit(-1)
-    except FilesNPathsError as e:
-        print(e)
-        sys.exit(-1)
diff --git a/bin/anvi-run-hmms b/bin/anvi-run-hmms
index d46491c872..70eb6ca07f 100755
--- a/bin/anvi-run-hmms
+++ b/bin/anvi-run-hmms
@@ -93,7 +93,7 @@ def main(args):
 
     search_tables = TablesForHMMHits(args.contigs_db, num_threads_to_use=args.num_threads, just_do_it=args.just_do_it,
                                      hmm_program_to_use=args.hmmer_program, hmmer_output_directory=args.hmmer_output_dir,
-                                     get_domain_table_output=args.domain_hits_table, add_to_functions_table=args.add_to_functions_table)
+                                     get_domain_table_output=args.domain_hits_table)
     search_tables.populate_search_tables(sources)
 
     if not args.hmm_profile_dir and not args.installed_hmm_profile and args.also_scan_trnas:
@@ -108,7 +108,7 @@ if __name__ == '__main__':
     parser = ArgumentParser(description=__description__)
 
 
-    groupA = parser.add_argument_group("DB", "An anvi'o contigs database to populate with HMM hits")
+    groupA = parser.add_argument_group("DB", "An anvi'o contigs adtabase to populate with HMM hits")
     groupA.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
 
     groupB = parser.add_argument_group("HMM OPTIONS", "If you have your own HMMs, or if you would like to run only a set of "
@@ -134,7 +134,6 @@ if __name__ == '__main__':
     groupD.add_argument(*anvio.A('hmmer-program'), **anvio.K('hmmer-program'))
 
     groupE = parser.add_argument_group("AUTHORITY", "Because you are the boss.")
-    groupE.add_argument(*anvio.A('add-to-functions-table'), **anvio.K('add-to-functions-table'))
     groupE.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
 
     args = parser.get_args(parser)
diff --git a/bin/anvi-search-palindromes b/bin/anvi-search-palindromes
deleted file mode 100755
index f5d663de19..0000000000
--- a/bin/anvi-search-palindromes
+++ /dev/null
@@ -1,87 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8
-"""A program to find palindromes in sequences."""
-
-import sys
-
-import anvio
-
-from anvio.terminal import time_program
-from anvio.argparse import ArgumentParser
-from anvio.sequencefeatures import Palindromes
-from anvio.errors import ConfigError, FilesNPathsError
-
-
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2021, the Meren Lab (http://merenlab.org/)"
-__license__ = "GPL 3.0"
-__version__ = anvio.__version__
-__authors__ = ['meren']
-__requires__ = ["dna-sequence", "fasta", "contigs-db"]
-__provides__ = ['palindromes-txt']
-__description__ = "A program to find palindromes in sequences"
-
-
-@time_program
-def main(args):
-    if not (args.dna_sequence or args.contigs_db or args.fasta_file):
-        raise ConfigError("You should send an input sequence source for this program to work.")
-
-    if not args.output_file:
-        args.verbose = True
-
-    p = Palindromes(args)
-
-    if args.contigs_db or args.fasta_file:
-        p.process()
-    elif args.dna_sequence:
-        p.find(args.dna_sequence)
-        p.report()
-
-
-if __name__ == "__main__":
-    parser = ArgumentParser(description=__description__)
-
-    groupA = parser.add_argument_group('SEQUENCE SOURCE', "Where should anvi'o find your sequences?")
-    groupA.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db', {'required': False}))
-    groupA.add_argument(*anvio.A('fasta-file'), **anvio.K('fasta-file'))
-    groupA.add_argument(*anvio.A('dna-sequence'), **anvio.K('dna-sequence'))
-
-    groupB = parser.add_argument_group('PALINDROME BUT HOW?', "Some essential stuff here about your palindromes. Please also "
-                    "see the search sensitivity section below.")
-    groupB.add_argument(*anvio.A('min-palindrome-length'), **anvio.K('min-palindrome-length'))
-    groupB.add_argument(*anvio.A('max-num-mismatches'), **anvio.K('max-num-mismatches'))
-    groupB.add_argument(*anvio.A('min-distance'), **anvio.K('min-distance'))
-
-    groupC = parser.add_argument_group('SEARCH SENSITIVITY & PERFORMANCE', "Yes.")
-    groupC.add_argument('--blast-word-size', metavar="INT", type=int, default=10, help="This parameter is passed to "
-                    "blastn as the `-word_size`, which literally means in the BLAST world the length of best perfect "
-                    "among your alignments. The shorter the word size, the more short palindromes you will find, but it "
-                    "will also influence your ability to find palindromes with mismatches. For instance, if the word size "
-                    "is 10, then you will not find a palindrome that is 18 nt long but have a mismatch right at the 9th "
-                    "nucleotide (because individual perfect matches in the alignment will have word sizes of less than 10). "
-                    "So if you want to search for palindromes with a lot of mismatches, then you would like to keep your "
-                    "word size small. But smaller word sizes will impact your performance negatively, and very small ones "
-                    "will simply make it impossible to finish running for especially long contigs. If you want to find "
-                    "palindromes with no mismatches, then you can safely match the word size to the minimum palindrome "
-                    "length. If you want to do some test run, take a DNA sequence (say about 1,000 nts) that contains a "
-                    "palindrome that looks like the kinds of palindromes you will be interested in finding, and run the "
-                    "program `anvi-search-palindromes` with `--dna` parameter and `--verbose` flag. As you play with the "
-                    "word size, minimum number of mismatches, and the minimum palindrome length, the output messages will "
-                    "help you determine your best parameters.")
-    groupC.add_argument(*anvio.A('num-threads'), **anvio.K('num-threads'))
-
-    groupD = parser.add_argument_group('OUTPUT', "Output options.")
-    groupD.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
-    groupD.add_argument(*anvio.A('verbose'), **anvio.K('verbose'))
-
-    args, unknown = parser.parse_known_args()
-
-    try:
-        main(args)
-    except ConfigError as e:
-        print(e)
-        sys.exit(-1)
-    except FilesNPathsError as e:
-        print(e)
-        sys.exit(-2)
diff --git a/bin/anvi-self-test b/bin/anvi-self-test
index a27f47b3de..1b81f82d65 100755
--- a/bin/anvi-self-test
+++ b/bin/anvi-self-test
@@ -26,18 +26,15 @@ __authors__ = ['meren', 'semiller10', 'ekiefl', 'ivagljiva']
 __description__ = "A script for anvi'o to test itself"
 
 
-tests = {'mini'                  : ['run_component_tests_for_minimal_metagenomics.sh'],
-         'metagenomics-full'     : ['run_component_tests_for_metagenomics.sh'],
-         'pangenomics'           : ['run_component_tests_for_pangenomics.sh'],
-         'interactive-interface' : ['run_component_tests_for_manual_interactive.sh'],
-         'metabolism'            : ['run_component_tests_for_metabolism.sh'],
-         'display-functions'     : ['run_component_tests_for_display_functions.sh'],
-         'trnaseq'               : ['run_component_tests_for_trnaseq.sh'],
-         'workflow-contigs'      : ['run_workflow_tests_for_contigs.sh'],
-         'workflow-metagenomics' : ['run_workflow_tests_for_metagenomics.sh'],
-         'workflow-pangenomics'  : ['run_workflow_tests_for_pangenomics.sh'],
-         'workflow-phylogenomics': ['run_workflow_tests_for_phylogenomics.sh']
-         }
+tests = {'mini'                 : ['run_mini_test.sh'],
+         'metagenomics-full'    : ['run_all_tests.sh'],
+         'pangenomics'          : ['run_pangenome_tests.sh'],
+         'genome-view'          : ['run_genome_view.sh'],
+         'interactive-interface': ['run_manual_interactive.sh'],
+         'metabolism'           : ['run_metabolism_tests.sh'],
+         'display-functions'    : ['run_display_functions_tests.sh'],
+         'alons-classifier'     : ['run_alons_classifier_tests.sh'],
+         'trnaseq'              : ['run_trnaseq_tests.sh']}
 
 run = terminal.Run()
 
diff --git a/bin/anvi-setup-kegg-kofams b/bin/anvi-setup-kegg-kofams
index af5064cce6..e1e7284786 100755
--- a/bin/anvi-setup-kegg-kofams
+++ b/bin/anvi-setup-kegg-kofams
@@ -26,18 +26,15 @@ if __name__ == '__main__':
     from anvio.argparse import ArgumentParser
 
     parser = ArgumentParser(description=__description__)
-    groupI = parser.add_argument_group('KEGG DATA SETUP', "This program will set up metabolism "
-                                       "data from the KEGG resource of databases. Note that if you provide no "
-                                       "parameters at all, this program will download the snapshot of KEGG "
-                                       "that is associated with the latest release of anvi'o.")
+    groupI = parser.add_argument_group('POSSIBLE INPUT', "Not required for this program to run, but could be useful. Note "
+                                       "that if you provide no parameters, this program will download the frozen "
+                                       "snapshot of the KEGG databases that is associated with the latest release of anvi'o.")
     groupI.add_argument(*anvio.A('kegg-data-dir'), **anvio.K('kegg-data-dir'))
     groupI.add_argument(*anvio.A('kegg-archive'), **anvio.K('kegg-archive'))
     groupI.add_argument(*anvio.A('download-from-kegg'), **anvio.K('download-from-kegg'))
     groupI.add_argument(*anvio.A('kegg-snapshot'), **anvio.K('kegg-snapshot'))
-
-    groupE = parser.add_argument_group('EXTRAS', "Extras for the extra.")
-    groupE.add_argument(*anvio.A('reset'), **anvio.K('reset'))
-    groupE.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
+    groupI.add_argument(*anvio.A('reset'), **anvio.K('reset'))
+    groupI.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
 
     args = parser.get_args(parser)
 
diff --git a/bin/anvi-setup-user-modules b/bin/anvi-setup-user-modules
deleted file mode 100755
index 87025a3a3c..0000000000
--- a/bin/anvi-setup-user-modules
+++ /dev/null
@@ -1,57 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8
-
-import sys
-
-import anvio
-import anvio.kegg as kegg
-
-from anvio.errors import ConfigError, FilesNPathsError
-from anvio.terminal import time_program
-
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2020, the Meren Lab (http://merenlab.org/)"
-__license__ = "GPL 3.0"
-__version__ = anvio.__version__
-__authors__ = ['ivagljiva']
-__requires__ = ["user-modules-data"]
-__provides__ = ["modules-db", "user-modules-data"]
-__description__ = "Set up user-defined metabolic pathways into an anvi'o-compatible database"
-
-@time_program
-def main(args):
-    ## initialize some empty arguments that are unnecessary here but expected by KeggSetup class
-    args.kegg_archive = None
-    args.kegg_snapshot = None
-    args.download_from_kegg = None
-
-    setup = kegg.KeggSetup(args)
-    setup.setup_data()
-
-if __name__ == '__main__':
-    from anvio.argparse import ArgumentParser
-
-    parser = ArgumentParser(description=__description__)
-    groupU = parser.add_argument_group('USER DATA SETUP', "If you have defined your own set "
-                                       "of metabolic modules, you can use this program to parse these "
-                                       "files into the format required for metabolism estimation.")
-    groupU.add_argument(*anvio.A('user-modules'), **anvio.K('user-modules'))
-    
-    groupE = parser.add_argument_group('EXTRAS', "Extras for the extra.")
-    groupE.add_argument(*anvio.A('kegg-data-dir'), **anvio.K('kegg-data-dir', {'help': "You may need to provide the location of "
-                                                                               "your existing KEGG data so that we can properly "
-                                                                               "sanity check your data. Use this parameter to do so."}))
-    groupE.add_argument(*anvio.A('reset'), **anvio.K('reset'))
-    groupE.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
-
-    args = parser.get_args(parser)
-
-    try:
-        main(args)
-
-    except ConfigError as e:
-        print(e)
-        sys.exit(-1)
-    except FilesNPathsError as e:
-        print(e)
-        sys.exit(-1)
diff --git a/bin/anvi-show-misc-data b/bin/anvi-show-misc-data
index 1128201a63..1389328377 100755
--- a/bin/anvi-show-misc-data
+++ b/bin/anvi-show-misc-data
@@ -17,7 +17,7 @@ __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['meren', 'ekiefl']
+__authors__ = ['meren']
 __requires__ = ["pan-db", "profile-db", "contigs-db"]
 __description__ = "Show all misc data keys in all misc data tables"
 
diff --git a/bin/anvi-split b/bin/anvi-split
index a97f1a64ef..23b0b5343d 100755
--- a/bin/anvi-split
+++ b/bin/anvi-split
@@ -21,7 +21,10 @@ __authors__ = ['meren']
 __requires__ = ['profile-db', 'contigs-db', 'genomes-storage-db', 'pan-db', 'collection',]
 __provides__ = ['split-bins',]
 __resources__ = [("Anvi-split in action in the pangenomics tutorial", "http://merenlab.org/2016/11/08/pangenomics-v2/#splitting-the-pangenome")]
-__description__ = ("Split an anvi'o pan or profile database into smaller, self-contained projects. Black magic.")
+__description__ = ("Split an anvi'o pan or profile database into smaller, self-contained pieces. "
+                   "Provide either a genomes-storage and pan database or a profile and contigs database "
+                   "pair, and you'll get back directories of individual projects for each bin "
+                   " that can be treated as smaller anvi'o projects")
 
 
 if __name__ == '__main__':
diff --git a/bin/anvi-tabulate-trnaseq b/bin/anvi-tabulate-trnaseq
deleted file mode 100755
index 13eebe0da0..0000000000
--- a/bin/anvi-tabulate-trnaseq
+++ /dev/null
@@ -1,47 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8
-"""Tabulate data on tRNA seeds from a set of tRNA-seq samples"""
-
-
-import sys
-
-import anvio
-import anvio.trnaseq as trnaseq
-
-from anvio.errors import ConfigError
-from anvio.argparse import ArgumentParser
-
-
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
-__credits__ = []
-__license__ = "GPL 3.0"
-__version__ = anvio.__version__
-__maintainer__ = "Samuel Miller"
-__email__ = "samuelmiller10@gmail.com"
-__requires__ = ['trnaseq-contigs-db', 'trnaseq-profile-db']
-__provides__ = ['trnaseq-seed-txt', 'modifications-txt']
-__description__ = "A program to write standardized tab-delimited files of tRNA-seq seed coverage and modification results"
-
-
-if __name__ == '__main__':
-    parser = ArgumentParser(description=__description__)
-
-    group1 = parser.add_argument_group('MANDATORY')
-    group1.add_argument(*anvio.A('contigs-db'),
-                        **anvio.K('contigs-db',
-                                  {'help': "Path to a `trnaseq`-variant contigs database, as produced by `anvi-merge-trnaseq`."}))
-    group1.add_argument(*anvio.A('specific-profile-db'), **anvio.K('specific-profile-db'))
-
-    group2 = parser.add_argument_group('OPTIONAL')
-    group2.add_argument(*anvio.A('nonspecific-profile-db'), **anvio.K('nonspecific-profile-db'))
-    group2.add_argument(*anvio.A('output-dir'), **anvio.K('output-dir'))
-    group2.add_argument(*anvio.A('overwrite-output-destinations'), **anvio.K('overwrite-output-destinations'))
-
-    args = parser.get_args(parser)
-    try:
-        result_tabulator = trnaseq.ResultTabulator(args)
-        result_tabulator.process()
-    except ConfigError as e:
-        print(e)
-        sys.exit(-1)
diff --git a/bin/anvi-trnaseq b/bin/anvi-trnaseq
index ce1484311d..e26b658d94 100755
--- a/bin/anvi-trnaseq
+++ b/bin/anvi-trnaseq
@@ -1,6 +1,6 @@
 #!/usr/bin/env python
 # -*- coding: utf-8
-"""De novo prediction of tRNAs and their properties from a single tRNA-seq library"""
+"""tRNA-seq data analysis workflow"""
 
 import sys
 
@@ -13,14 +13,15 @@ from anvio.errors import ConfigError, FilesNPathsError
 
 
 __author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
+__copyright__ = "Copyleft 2015-2020, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
 __authors__ = ['semiller10']
 __requires__ = ['trnaseq-fasta']
 __provides__ = ['trnaseq-db']
-__description__ = "A program to process reads from a tRNA-seq dataset to generate an anvi'o tRNA-seq database"
+__description__ = ("A program to process raw tRNA-seq dataset, which is the sequencing of tRNA transcripts "
+                   "in a given sample, to generate an anvi'o tRNA-seq database")
 
 
 if __name__ == '__main__':
diff --git a/bin/anvi-update-structure-database b/bin/anvi-update-structure-database
index be2b1b0e2f..400fa856cc 100755
--- a/bin/anvi-update-structure-database
+++ b/bin/anvi-update-structure-database
@@ -40,7 +40,6 @@ if __name__ == '__main__':
     groupD.add_argument(*anvio.A('structure-db'), **anvio.K('structure-db'))
     groupG.add_argument(*anvio.A('genes-of-interest'), **anvio.K('genes-of-interest'))
     groupG.add_argument(*anvio.A('gene-caller-ids'), **anvio.K('gene-caller-ids'))
-    groupG.add_argument(*anvio.A('external-structures'), **anvio.K('external-structures'))
     groupO.add_argument(*anvio.A('dump-dir'), **anvio.K('dump-dir'))
     groupM.add_argument('--list-modeller-params', action='store_true', help='Since you are updating an existing DB, modeller params are set in '
                                                                             'place. You can have this program list them by providing this flag')
diff --git a/conda-recipe/anvio-minimal/meta.yaml b/conda-recipe/anvio-minimal/meta.yaml
index 80bcda854b..a0d61a77d5 100644
--- a/conda-recipe/anvio-minimal/meta.yaml
+++ b/conda-recipe/anvio-minimal/meta.yaml
@@ -1,4 +1,4 @@
-{% set version = "7.1_dev" %}
+{% set version = "7" %}
 
 package:
   name: anvio-minimal
@@ -6,7 +6,7 @@ package:
 
 source:
   git_url: https://github.com/merenlab/anvio
-  git_tag: master
+  git_tag: release-candidate
 
 build:
   number: 0
@@ -24,10 +24,13 @@ requirements:
     - pysam
     - ete3
     - scipy
-    - scikit-learn
+    # the following prevents an openmp error first reported in
+    # merenlab/anvio#1489 that also occurs during conda bulid:
+    # https://github.com/bioconda/bioconda-recipes/pull/26014#issuecomment-753693842
+    - scikit-learn >=0.23.2
     - django
     - requests
-    - psutil
+    - psutil ==5.4.3
     - mistune
     - six
     - pandas ==0.25.1
diff --git a/conda-recipe/anvio/meta.yaml b/conda-recipe/anvio/meta.yaml
index 51eab7b79e..c5de9d2347 100644
--- a/conda-recipe/anvio/meta.yaml
+++ b/conda-recipe/anvio/meta.yaml
@@ -1,4 +1,4 @@
-{% set version = "7.1_dev" %}
+{% set version = "7" %}
 
 package:
   name: anvio
diff --git a/requirements.txt b/requirements.txt
index 3d6fb89478..4451809537 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -15,7 +15,7 @@ illumina-utils
 tabulate
 numba
 paste
-pyani
-psutil
+pyani==0.2.10
+psutil==5.4.3
 pandas==0.25.1
-snakemake==5.10.0
+snakemake==5.10.0
\ No newline at end of file
diff --git a/sandbox/anvi-script-as-markdown b/sandbox/anvi-script-as-markdown
deleted file mode 100755
index 047e52c812..0000000000
--- a/sandbox/anvi-script-as-markdown
+++ /dev/null
@@ -1,90 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8
-
-import sys
-
-import anvio
-
-from anvio.errors import ConfigError
-
-
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
-__credits__ = []
-__license__ = "GPL 3.0"
-__version__ = anvio.__version__
-__authors__ = ['meren']
-__provides__ = ['markdown-txt']
-__description__ = ("Markdownizides TAB-delmited data with headers in terminal.")
-
-
-def main(args):
-    line_counter = 0
-    num_fields = None
-    field_indices_to_include = []
-    field_indices_for_code_columns = []
-
-    if args.max_num_lines_to_show:
-        if args.max_num_lines_to_show < 2:
-            raise ConfigError("Max number of lines to show can't be less than 2 :/")
-
-    for line in sys.stdin:
-        if '\t' not in line:
-            raise ConfigError("This program only works with TAB delimited input files :/")
-
-        line_counter += 1
-
-        fields = line.strip('\n').split('\t')
-
-        if line_counter == 1:
-            if args.exclude_columns:
-                field_names_to_exclude = [n.strip() for n in args.exclude_columns.split(',')]
-                field_indices_to_include = [i for i in range(0, len(fields)) if fields[i] not in field_names_to_exclude]
-            else:
-                field_indices_to_include = range(0, len(fields))
-
-            if args.code_columns:
-                field_names_for_code_columns = [n.strip() for n in args.code_columns.split(',')]
-                field_indices_for_code_columns = [i for i in range(0, len(fields)) if fields[i] in field_names_for_code_columns]
-
-        if not num_fields:
-            num_fields = len(fields)
-        else:
-            if num_fields != len(fields):
-                raise ConfigError(f"The number of TAB-delimited fields do not seem to be equal throughout the lines "
-                                  f"of the input file. The first line had {num_fields} TAB-delimited fields, but the "
-                                  f"line {line_counter} had {len(fields)} of them :/")
-
-        if line_counter == 1:
-            print("|" + "|".join([f"**{fields[i]}**" for i in field_indices_to_include]) + "|")
-            print("|" + "|".join([":--"] * len(field_indices_to_include)) + "|")
-        else:
-            output = []
-
-            for i in field_indices_to_include:
-                if i in field_indices_for_code_columns:
-                    output.append("`" + fields[i].replace('|', '\\|') + "`")
-                else:
-                    output.append(fields[i].replace('|', '\\|'))
-
-            print("|" + "|".join(output) + "|")
-
-        if line_counter == args.max_num_lines_to_show:
-            print("|" + "|".join(["(...)"] * len(field_indices_to_include)) + "|")
-            return
-
-
-
-if __name__ == '__main__':
-    from anvio.argparse import ArgumentParser
-    parser = ArgumentParser(description=__description__)
-    parser.add_argument('--max-num-lines-to-show', type=int, default=None, help="Maximum number of lines to show.")
-    parser.add_argument('--exclude-columns', type=str, default=None, help="Comma-separated list of column names to exclude from the output.")
-    parser.add_argument('--code-columns', type=str, default=None, help="Comma-separated list of column names to be wrapped with '`' characters.")
-    args = parser.get_args(parser)
-
-    try:
-        main(args)
-    except ConfigError as e:
-        print(e)
-        sys.exit(-1)
diff --git a/sandbox/anvi-script-compute-bayesian-pan-core b/sandbox/anvi-script-compute-bayesian-pan-core
index ebb961020b..363abf5c05 100755
--- a/sandbox/anvi-script-compute-bayesian-pan-core
+++ b/sandbox/anvi-script-compute-bayesian-pan-core
@@ -15,6 +15,15 @@ from anvio.tables.miscdata import TableForItemAdditionalData
 
 __citation__ = "'mOTUlizer' by Buck et al (https://doi.org/10.1101/2021.06.25.449606)"
 
+try:
+    from mOTUlizer.classes.mOTU import mOTU
+except ModuleNotFoundError:
+    raise ConfigError(f"{__citation__} does not seem to be installed on your system as anvi'o was "
+                      f"unable to import its Python libraries :( In theory you should be able to install "
+                      f"mOTUlizer by running the following command in your anvi'o environment: pip install "
+                      f"mOTUlizer. Please visit the URL https://github.com/moritzbuck/mOTUlizer to read most "
+                      f"up-to-date installation instructions or to report issues. Thank you for your patience!")
+
 __author__ = "Developers of anvi'o (see AUTHORS.txt)"
 __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
@@ -22,7 +31,7 @@ __license__ = "GPL 3.0"
 __version__ = anvio.__version__
 __authors__ = ['moritzbuck']
 __requires__ = ["pan-db", "genomes-storage-db"]
-__provides__ = ["bin"]
+__provides__ = []
 __resources__ = [("GitHub repository for the mOTUPan", "https://github.com/moritzbuck/mOTUlizer/")]
 __description__ = "Runs mOTUpan on your gene clusters to estimate whether they are core or accessory"
 
@@ -32,16 +41,6 @@ progress = terminal.Progress()
 
 
 def main(args):
-    try:
-        from mOTUlizer.classes.mOTU import mOTU
-    except ModuleNotFoundError:
-        raise ConfigError(f"{__citation__} does not seem to be installed on your system as anvi'o was "
-                          f"unable to import its Python libraries :( In theory you should be able to install "
-                          f"mOTUlizer by running the following command in your anvi'o environment: pip install "
-                          f"mOTUlizer. Please visit the URL https://github.com/moritzbuck/mOTUlizer to read most "
-                          f"up-to-date installation instructions or to report issues. Thank you for your patience!")
-
-
     if not args.output_file and not args.store_in_db:
         if args.just_do_it:
             run.warning("Lol. You are making anvi'o compute stuff that will not be stored anywhere. Weird you :(", lc="green")
diff --git a/sandbox/anvi-script-enrichment-stats b/sandbox/anvi-script-enrichment-stats
index c66f3b24c0..b5752d35e0 100755
--- a/sandbox/anvi-script-enrichment-stats
+++ b/sandbox/anvi-script-enrichment-stats
@@ -5,7 +5,6 @@
 
 ## Original Author: Amy Willis, March 2020
 ## Generalized by: Iva Veseli, Sept 2020
-## Last updated: Amy Willis, November 2021
 
 ## Usage:
 #         anvi-script-enrichment-stats --input=input.txt --output=output.txt
@@ -116,7 +115,7 @@ if (file.access(opts$input) == -1) {
 df_in <- readr::read_tsv(file = opts$input, col_types = cols())
 
 if (nrow(df_in) < 2) {
-  stop(sprintf("Your input file contains less than two lines :/ Not OK."))
+    stop(sprintf("Your input file contains less than two lines :/ Not OK."))
 }
 
 # Find number of groups
@@ -131,13 +130,13 @@ if (num_groups %% 1 != 0) {
 
 # make sure the input file contains expected columns
 for (column_name in c("accession", "associated_groups")) {
-  if (not (column_name %in% colnames(df_in)))
-    stop(sprintf("The input file '%s' does not contain an essential column ('%s').", opts$input, column_name))
+    if (not (column_name %in% colnames(df_in)))
+        stop(sprintf("The input file '%s' does not contain an essential column ('%s').", opts$input, column_name))
 }
 
 # make sure associated_groups column includes group names.
 if (nrow(drop_na(distinct(df_in, associated_groups))) == 0) {
-  stop(sprintf("You have no group associations in your data. Which means, nothing is differentially occurring across your groups :/"))
+    stop(sprintf("You have no group associations in your data. Which means, nothing is differentially occurring across your groups :/"))
 }
 
 # Set up functions to run
@@ -160,87 +159,32 @@ get_unadjusted_p_value <- function(anova_output) {
                 stop("glm gave you a not-small test statistic but a missing p-value. This shouldn't happen! But it has, please submit an issue on our GitHub and tag @adw96 :)")))
 }
 
-# multiple functions have the same data, so get only unique data rows
-df_unique <- df_in %>%
-  select(names(df_in)[n_columns_before_data + (1 : (num_groups * 2))]) %>%
-  distinct %>%
-  add_column("data_structure_index" = 1:nrow(.), .before=1)
-
 # fit the GLMs in a nifty way using nest()
-w_models_unique <- df_unique %>%
-  pivot_longer(cols = -1, names_to="type", values_to="value") %>%
+w_models <- df_in %>%
+  gather(key = "type", value = "value", -c(1:n_columns_before_data)) %>%
   separate(type, into = c("type", "group"), sep = "_", extra = "merge") %>%
-  pivot_wider(names_from="type", values_from="value") %>%
-  mutate(x = round(N * p)) %>%
+  spread(type, value) %>%
+  mutate(x = N * p) %>%
   select(-p) %>%
-  group_by(data_structure_index) %>%
+  group_by(accession) %>%
   nest %>%
   mutate(model = map(data, run_test_no_spread))
 
 # get the p-values & enrichment_scores
-pvalues_df_unique <- w_models_unique %>%
-  transmute(data_structure_index,
+pvalues_df <- w_models %>%
+  transmute(accession,
             "unadjusted_p_value" = map_dbl(model, get_unadjusted_p_value),
             "enrichment_score" = map_dbl(model, get_enrichment_score))
 
-# Rao test statistic should always be positive. However,
-# it happens that Rao test statistics are numerically negative
-# but close to zero. If they are large and negative (say, smaller than
-# 0.00001), we should throw an error:
-if (min(pvalues_df_unique$enrichment_score) < -1e-5) {
-  message("A Rao test statistic is large and negative, oh my!")
-  message("Here are the rows where the test statistic was negative:")
-
-  pvalues_df_unique %>%
-    filter(enrichment_score < -1e-5) %>%
-    arrange(desc(enrichment_score)) %>%
-    print(n = Inf)
-
-  stop("Something has gone terribly wrong, and it's Amy's fault. Please let her know ASAP so she can fix it!")
-}
-
-pvalues_df <- df_unique %>%
-  inner_join(pvalues_df_unique, by = "data_structure_index") %>%
-  select(-data_structure_index) %>%
-  inner_join(df_in, .,
-             by = names(df_in)[n_columns_before_data + (1 : (num_groups * 2))])
-
 # find the maximum lambda for qvalue
 # reasons for this change documented at https://github.com/merenlab/anvio/issues/1383
 max_lambda <- min(0.95, max(pvalues_df$unadjusted_p_value, na.rm=T))
-lambdas <- seq(0.05, max_lambda, 0.05)
-
-# obtain an estimate of the proportion of features that are truly null
-pi0_est <- try(qvalue::pi0est(pvalues_df$unadjusted_p_value,
-                              lambda = lambdas, pi0.method="smoother")$pi0,
-               silent=T)
-
-
-if ("try-error" %in% class(pi0_est)) {
-
-  # Sometimes, especially when there are many of p-values near 0.5 and fewer near 1
-  # (documented at https://github.com/merenlab/anvio/issues/1828),
-  # we can't reliably do the extrapolation we want. Let's instead just say
-  # that features with p-values above 0.2 are likely null, and use that to estimate
-  # the proportion of features that are truly null.
-  lambdas <- 0.2
-  pi0_est <- try(qvalue::pi0est(pvalues_df$unadjusted_p_value,
-                                lambda = lambdas, pi0.method="smoother")$pi0,
-                 silent=T)
-
-  if ("try-error" %in% class(pi0_est)) {
-
-    stop("Doh! We still can't estimate the proportion of features that are truly null. It's Amy's fault, so please let her know ASAP so she can fix it!")
-
-  }
-
-}
 
 # get the q-values, then format the data and save
-qvalues_df <- pvalues_df %>%
-  mutate("adjusted_q_value" = qvalue::qvalue(p=unadjusted_p_value, lambda=lambdas, pi0.method="smoother")$qvalues)
-
-enrichment_output <- qvalues_df %>%
+enrichment_output <- pvalues_df %>%
+  mutate("adjusted_q_value" = qvalue::qvalue(unadjusted_p_value,
+                                             lambda = seq(0.05, max_lambda, 0.05))$qvalues) %>%
+  left_join(df_in, by = "accession") %>%
   select(names(df_in)[1],  # e.g. COG_FUNCTION
          enrichment_score,
          unadjusted_p_value,
@@ -250,7 +194,23 @@ enrichment_output <- qvalues_df %>%
          names(df_in)[3],
          names(df_in)[n_columns_before_data + (1 : (num_groups * 2))])
 
-# If they are small and negative (checked earlier), just set them to zero. Then,
+# Rao test statistic should always be positive. However,
+# it happens that Rao test statistics are numerically negative
+# but close to zero. If they are large and negative (say, smaller than
+# 0.00001), we should throw an error:
+if (min(enrichment_output$enrichment_score) < -1e-5) {
+  message("A Rao test statistic is large and negative, oh my!")
+  message("Here are the rows where the test statistic was negative:")
+
+  enrichment_output %>%
+    filter(enrichment_score < 0) %>%
+    arrange(desc(enrichment_score)) %>%
+    print(n = Inf)
+
+  stop("Something has gone terribly wrong, and it's Amy's fault. Please let her know ASAP so she can fix it!")
+}
+
+# If they are small and negative, just set them to zero. Then,
 # order the columns from largest to smallest enrichment score:
 enrichment_output %<>%
   mutate("enrichment_score" = pmax(0, enrichment_score)) %>%
diff --git a/sandbox/anvi-script-filter-hmm-hits-table b/sandbox/anvi-script-filter-hmm-hits-table
index 734b5b5344..24ba297216 100755
--- a/sandbox/anvi-script-filter-hmm-hits-table
+++ b/sandbox/anvi-script-filter-hmm-hits-table
@@ -1,11 +1,6 @@
 #!/usr/bin/env python
 # -*- coding: utf-8
 
-"""
-This script removes the hmm_hits table and replaces it with a filtered version. Filtering of hmm_hits
-is done using query and/or target coverage
-"""
-
 import sys
 import os
 import numpy as np
@@ -14,7 +9,6 @@ import pandas as pd
 import anvio
 import anvio.data.hmm
 import anvio.db as db
-import anvio.utils as utils
 import anvio.hmmops as hmmops
 import anvio.bamops as bamops
 import anvio.terminal as terminal
@@ -47,27 +41,19 @@ class FilterHmmHitsTable(object):
         self.progress = progress
 
         A = lambda x: args.__dict__[x] if x in args.__dict__ else None
-
         self.contigs_db_path=A("contigs_db")
         self.domtblout=A("domain_hits_table")
         self.hmm_source=A("hmm_source")
         self.target_coverage=A("target_coverage")
         self.query_coverage=A("query_coverage")
         self.list_hmm_sources=A("list_hmm_sources")
-        self.hmm_profile_dir=A("hmm_profile_dir")
 
         if self.list_hmm_sources:
             ContigsDatabase(self.contigs_db_path).list_available_hmm_sources()
             sys.exit()
 
-        # Grab HMM sources from internal or external HMMs
-        if self.hmm_profile_dir:
-            self.sources = utils.get_HMM_sources_dictionary([args.hmm_profile_dir])
-        else:
-            self.sources = anvio.data.hmm.sources
 
     def sanity_checks(self):
-        """Sanity checks for program inputs."""
 
         filesnpaths.is_file_exists(self.contigs_db_path)
         self.run.info("Database Path", self.contigs_db_path)
@@ -83,40 +69,37 @@ class FilterHmmHitsTable(object):
         if self.hmm_source not in info_table:
             raise ConfigError(f"Whoa there, the HMM source you provided, '{self.hmm_source}', is not in your contigsDB: "
                               f"{self.contigs_db_path}. Maybe you misspelled it? Maybe you never added it to your contigsDB??"
-                              f"Please use --list-hmm-sources to see which HMM sources you have available. If you don't see the HMMs you "
-                              f"need then try re-running anvi-run-hmms and make sure to specify your HMM source of interest.")
+                              "Please use --list-hmm-sources to see which HMM sources you have available. If you don't see the HMMs you "
+                              "need then try re-running anvi-run-hmms and make sure to specify your HMM source of interest.")
 
-        target = self.sources[self.hmm_source]['target'].split(':')
+        sources = anvio.data.hmm.sources
+        target = sources[self.hmm_source]['target'].split(':')
 
         if target[0] != 'AA':
             raise ConfigError(f"The hmm-source {self.hmm_source} is not for amino acid sequences. "
-                              f"anvi-script-filter-hmm-hit-table currently can only work with hmm-sources "
-                              f"from protein sequences.")
+                              "anvi-script-filter-hmm-hit-table currently can only work with hmm-sources "
+                              "from protein sequences.")
 
 
     def process(self):
-        """Method to run the functions of this program"""
 
         self.sanity_checks()
 
         self.import_domtblout()
 
-        # file_path_csv
-        filtered_domtblout_path = self.filter_domtblout()
+        x = self.filter_domtblout()
 
-        search_results_dict = self.parse_domtblout(filtered_domtblout_path)
-
-        self.append_search_results_dict_to_hmm_tables(search_results_dict = search_results_dict)
+        self.get_hmm_hit_table(hmmsearch_tbl=x)
 
         # remove the tmp file
         if anvio.DEBUG:
-            self.run.info("Filtered domtblout file", filtered_domtblout_path)
+            self.run.info("Filtered domtblout file", x)
         elif not anvio.DEBUG:
-            os.remove(filtered_domtblout_path)
+            os.remove(x)
 
 
     def import_domtblout(self):
-        """Import the domtblout file from hmmsearch then calculate query and target coverage"""
+
         # hmmsearch results so the queries are the hmm models and the targets are the ORFs
         col_info = [
             ('gene_callers_id',  int),   # target name
@@ -157,17 +140,13 @@ class FilterHmmHitsTable(object):
                             index_col=False)
         except Exception as e:
             print(e)
-            raise ConfigError(f"Doesn't look like a --domtblout... anvi'o can't even... "
-                              f"Please look at this error message to find out what happened: "
-                              f"{e}")
+            raise ConfigError("Doesn't look like a --domtblout")
 
         self.df['query_coverage'] = ((self.df['hmm_stop'] - self.df['hmm_start'])/ self.df['hmm_length'])
         self.df['target_coverage'] = ((self.df['gene_stop'] - self.df['gene_start'])/ self.df['gene_length'])
 
 
     def filter_domtblout(self):
-        """Filter the hmm_hits table based on query and/or target coverage"""
-
         # Filtering conditions
         if self.query_coverage and self.target_coverage:
             df_filtered = self.df[(self.df['query_coverage'] > float(self.query_coverage)) & (self.df['target_coverage'] > float(self.target_coverage))]
@@ -191,8 +170,11 @@ class FilterHmmHitsTable(object):
         return domtblout_tmp_out
 
 
-    def parse_domtblout(self, hmmsearch_tbl=None):
-        """Parse the new, filtered domtblout file"""
+    def get_hmm_hit_table(self, hmmsearch_tbl=None):
+
+        # Remove old hmm_hits contigs_db_path
+        hmm_tables = TablesForHMMHits(self.contigs_db_path)
+        hmm_tables.remove_source(self.hmm_source)
 
         # Parse domtblout
         alphabet= 'AA'
@@ -202,35 +184,17 @@ class FilterHmmHitsTable(object):
         parser = parser_modules['search']['hmmer_table_output'](hmmsearch_tbl, alphabet=alphabet, context=context, program=hmm_program)
         search_results_dict = parser.get_search_results()
 
-        return search_results_dict
-
-
-    def append_search_results_dict_to_hmm_tables(self, search_results_dict=None):
-        """Put in the new filtered hmm_hits table to the contigsDB"""
+        # Re-write hmm_hits table to contigDB
+        sources = anvio.data.hmm.sources
 
-        # Remove old hmm_hits contigs_db_path
-        hmm_tables = TablesForHMMHits(self.contigs_db_path)
-        hmm_tables.remove_source(self.hmm_source)
-
-        # Re-write hmm_hits table to contigsDB
-
-        internal_sources = list(anvio.data.hmm.sources.keys())
         source = self.hmm_source
 
-        if self.sources not in internal_sources:
-            kind_of_search = self.sources[source]['kind']
-            domain = self.sources[source]['domain']
-            all_genes_searched_against = self.sources[source]['genes']
-            reference = self.sources[source]['ref']
-        else:
-            sources = anvio.data.hmm.sources
-            source = self.hmm_source
-            kind_of_search = sources[source]['kind']
-            domain = sources[source]['domain']
-            all_genes_searched_against = sources[source]['genes']
-            reference = self.sources[source]['ref']
+        kind_of_search = sources[source]['kind']
+        domain = sources[source]['domain']
+        all_genes_searched_against = sources[source]['genes']
+        reference = sources[source]['ref']
 
-        hmm_tables.append_to_hmm_hits_table(source, reference, kind_of_search, domain, all_genes_searched_against, search_results_dict)
+        hmm_tables.append(source, reference, kind_of_search, domain, all_genes_searched_against, search_results_dict)
 
 
 @terminal.time_program
@@ -246,7 +210,6 @@ if __name__ == '__main__':
     parser.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
     parser.add_argument(*anvio.A('hmm-source'), **anvio.K('hmm-source'))
     parser.add_argument(*anvio.A('list-hmm-sources'), **anvio.K('list-hmm-sources'))
-    parser.add_argument(*anvio.A('hmm-profile-dir'), **anvio.K('hmm-profile-dir'))
     parser.add_argument('--domain-hits-table', metavar='PATH', help="Please provide the path to the domain-table-output. You can get this file from running anvi-run-hmms with the flag --domain-hits-table.")
     parser.add_argument('--target-coverage',
                         help=" (ali_coord_to - ali_coord_from)/target_length")
diff --git a/sandbox/anvi-script-fix-homopolymer-indels b/sandbox/anvi-script-fix-homopolymer-indels
index 30f77b892c..e9d601600e 100755
--- a/sandbox/anvi-script-fix-homopolymer-indels
+++ b/sandbox/anvi-script-fix-homopolymer-indels
@@ -250,7 +250,7 @@ class RefBasedHomopolymerINDELCorrector:
         blast.makedb(dbtype='nucl')
         blast.num_threads = self.num_threads
         blast.max_target_seqs = 1
-        blast.blast(outputfmt='5')
+        blast.blast(outputfmt=5)
 
 
     def parse_blast_output(self):
diff --git a/sandbox/anvi-script-gen_stats_for_single_copy_genes.py b/sandbox/anvi-script-gen_stats_for_single_copy_genes.py
index be4bc43754..6365df8b93 100755
--- a/sandbox/anvi-script-gen_stats_for_single_copy_genes.py
+++ b/sandbox/anvi-script-gen_stats_for_single_copy_genes.py
@@ -12,10 +12,10 @@
 Please read the COPYING file.
 """
 
-__description__ = "A simple script to generate info from search tables, given a contigs-db"
 __requires__ = ["contigs-db"]
 __provides__ = ["genes-stats"]
 __authors__ = ['meren']
+__description__ = "A simple script to generate info from search tables, given a contigs-db"
 
 import sys
 from anvio.argparse import ArgumentParser
diff --git a/sandbox/anvi-script-get-primer-matches b/sandbox/anvi-script-get-primer-matches
index 8d788f33bf..910ec48a0c 100755
--- a/sandbox/anvi-script-get-primer-matches
+++ b/sandbox/anvi-script-get-primer-matches
@@ -2,7 +2,6 @@
 # -*- coding: utf-8
 
 import os
-import re
 import sys
 
 import anvio
@@ -21,9 +20,9 @@ __license__ = "GPL 3.0"
 __version__ = anvio.__version__
 __authors__ = ['meren']
 __provides__ = ["short-reads-fasta"]
-__requires__ = ["samples-txt", "primers-txt"]
-__description__ = ("You provide this program with FASTQ files for one or more samples AND one or more primer sequences, "
-                   "and it collects reads from FASTQ files that matches to your primers. This tool can be "
+__requires__ = ["samples-txt"]
+__description__ = ("You provide this program with FASTQ files for one or more samples AND one or more short sequences, "
+                   "and it collects reads from FASTQ files that matches to your sequences. This tool can be "
                    "most powerful if you want to collect all short reads from one or more metagenomes that are "
                    "downstream to a known sequence. Using the comprehensive output files you can analyze the "
                    "diversity of seuqences visually, manually, or using established strategies such as oligotyping.")
@@ -38,42 +37,44 @@ P = terminal.pluralize
 def main(args):
     A = lambda x: args.__dict__[x] if x in args.__dict__ else None
     samples_txt = A('samples_txt')
-    primers_file_path = A('primers_txt')
+    primers_file_path = A('primer_sequences')
     output_directory_path = A('output_dir') or os.path.abspath('./MATCHING_SEQUENCES')
     min_remainder_length = A('min_remainder_length') or 60
+    report_raw = A('report_raw')
     stop_after = A('stop_after')
-    only_report_primer_matches = A('only_report_primer_matches')
-
-    if only_report_primer_matches:
-        min_remainder_length = 0
 
     filesnpaths.check_output_directory(output_directory_path)
 
+    filesnpaths.is_file_tab_delimited(samples_txt)
+    filesnpaths.is_file_plain_text(primers_file_path)
+
     samples_dict = utils.get_samples_txt_file_as_dict(samples_txt, run=run)
-    primers_dict = utils.get_primers_txt_file_as_dict(primers_file_path)
+    primers = [s.strip().upper() for s in open(primers_file_path).readlines() if s[0] != '#']
 
     run.info("Samples found", f"({len(samples_dict)}) {' '.join(samples_dict.keys())}")
-    run.info("Primers found", f"({len(primers_dict)}) {'; '.join(primers_dict.keys())}")
-    run.info('Output directory', output_directory_path, nl_after=1)
+    run.info("Match sequences found", f"({len(primers)}) {' '.join(primers)}")
     run.info('Min remainder length', min_remainder_length)
+    run.info('Output directory', output_directory_path)
+    run.info('Report raw', report_raw)
     if stop_after:
-        run.info('Only report primer matches', only_report_primer_matches)
-        run.info('Stop after', stop_after, mc='red', nl_after=1)
-    else:
-        run.info('Only report primer matches', only_report_primer_matches, nl_after=1)
+        run.info('Stop after', stop_after, mc='red')
 
     filesnpaths.gen_output_directory(output_directory_path)
 
     for sample_name in samples_dict:
         samples_dict[sample_name]['hits'] = {}
 
-    for primer_name in primers_dict:
-        primers_dict[primer_name]['matching_sequences'] = {}
-        primers_dict[primer_name]['primer_length'] = len(primers_dict[primer_name]['primer_sequence'])
+    primers_dict = {}
+    for m in primers:
+        primers_dict[m] = {'matching_sequences': {},
+                           'primer_length': len(m),
+                           'primer_sequence': m,
+                           'primer_sequence_rc': utils.rev_comp(m)}
 
         for sample_name in samples_dict:
-            samples_dict[sample_name]['hits'][primer_name] = 0
-            primers_dict[primer_name]['matching_sequences'][sample_name] = []
+            samples_dict[sample_name]['hits'][m] = 0
+            primers_dict[m]['matching_sequences'][sample_name] = []
+
 
     total_read_counter = 0
     total_hit_counter = 0
@@ -86,7 +87,6 @@ def main(args):
         read_counter = 0
         hit_counter = 0
         hit_in_rc = 0
-        removed_due_to_remainder_length = 0
         for pair in ['r1', 'r2']:
             input_fastq_file_path = samples_dict[sample_name][pair]
             input_fastq = u.FastQSource(input_fastq_file_path, compressed=input_fastq_file_path.endswith('.gz'))
@@ -99,41 +99,36 @@ def main(args):
 
                 found_in_RC = False
 
-                for primer_name in primers_dict:
-                    v = primers_dict[primer_name]
+                for v in primers_dict.values():
                     seq = input_fastq.entry.sequence
-                    match = re.search(v['primer_sequence'], seq)
+                    pos = seq.find(v['primer_sequence'])
 
-                    if not match:
-                        # no match here. but how about the the reverse complement of it?
-                        seq = utils.rev_comp(seq)
-
-                        match = re.search(v['primer_sequence'], seq)
-
-                        if match:
+                    if pos < 0:
+                        # it not in it. how about the the reverse complement of it?
+                        if seq.find(v['primer_sequence_rc']) >= 0:
                             # aha. the reverse complement sequence that carries our match found.
-                            # will continue as if nothing happened
+                            # now we will reverse complement the long sequence and update the pos
+                            # and will continue as if nothing happened
                             found_in_RC = True
+                            hit_in_rc += 1
+                            seq = utils.rev_comp(seq)
+                            pos = seq.find(v['primer_sequence'])
 
-                    if not match:
+                    if pos < 0:
                         continue
 
-                    if len(seq) - match.end() < min_remainder_length:
-                        removed_due_to_remainder_length += 1
+                    if len(seq[pos + v['primer_length']:]) < min_remainder_length:
                         continue
 
-                    v['matching_sequences'][sample_name].append((match.start(), match.end(), seq), )
+                    v['matching_sequences'][sample_name].append((pos, seq), )
 
                     hit_counter += 1
 
-                    if found_in_RC:
-                        hit_in_rc += 1
-
-                    samples_dict[sample_name]['hits'][primer_name] += 1
+                    samples_dict[sample_name]['hits'][v['primer_sequence']] += 1
 
                     if anvio.DEBUG:
                         progress.end()
-                        print("\n%s -- %s -- %s| %s [%s] %s" % (sample_name, pair, 'RC ' if found_in_RC else '   ', seq[:match.start()], v['primer_sequence'], seq[match.end():]))
+                        print("\n%s -- %s| %s [%s] %s" % (sample_name, 'RC ' if found_in_RC else '   ', seq[:pos], v['primer_sequence'], seq[pos+v['primer_length']:]))
                         progress.new("Tick tock")
                         progress.update(f"{sample_name} ({i + 1} of {len(samples_dict)}) / {pair} / Reads: {pp(read_counter)} / Hits: {pp(hit_counter)} (in RC: {pp(hit_in_rc)})")
 
@@ -148,18 +143,17 @@ def main(args):
 
     run.warning(None, header="HITS PER SAMPLE", lc='yellow')
     run.info('Summary', "", nl_after=1)
-    run.info_single(f"After processing {pp(total_read_counter)} individual reads in {P('sample', len(samples_dict))}, anvi'o "
-                    f"found {P('hit', total_hit_counter)} for your {P('sequence', len(primers_dict), pfs='only')} in the"
+    run.info_single(f"After processing {pp(total_read_counter)} reads in {P('sample', len(samples_dict))}, anvi'o found "
+                    f"{P('hit', total_hit_counter)} for your {P('sequence', len(primers_dict), pfs='only')} "
                     f"in the primer sequences file. What is shown below breaks these numbers down per sample because that's how "
-                    f"anvi'o rolls (SAM: Shortest sequence after match; LAM: Longest sequence after match; ALAM: Average length "
-                    f"after match).", nl_after=1)
+                    f"anvi'o rolls (SAM: Shortest sequence after match; LAM: Longest sequence after match; ALAM: Average length after match).", nl_after=1)
 
     for sample_name in samples_dict:
         run.info(f"{sample_name}", f"{pp(samples_dict[sample_name]['num_reads'])} total reads", nl_before=1, lc="green", mc="green")
         for primer_sequence in primers_dict:
             matching_sequence_hits = primers_dict[primer_sequence]['matching_sequences'][sample_name]
             primer_length = primers_dict[primer_sequence]['primer_length']
-            seq_lengths_after_match = [len(sequence[end:]) for start, end, sequence in matching_sequence_hits]
+            seq_lengths_after_match = [len(s[1][s[0]+primer_length:]) for s in matching_sequence_hits]
 
             if len(seq_lengths_after_match):
                 run.info(f"    {primer_sequence}", f"{pp(samples_dict[sample_name]['hits'][primer_sequence])} hits / SAM: {min(seq_lengths_after_match)} / LAM: {max(seq_lengths_after_match)} / ALAM: {sum(seq_lengths_after_match) / len(primers_dict[primer_sequence]['matching_sequences']):.2f}")
@@ -179,13 +173,13 @@ def main(args):
             output_file_path = os.path.join(output_directory_path, '%s-%s-HITS.fa' % (sample_name, primer_sequence))
             with open(output_file_path, 'w') as output:
                 counter = 1
-                for start, end, sequence in matching_sequence_hits:
-                    output.write(f'>{sample_name}_{primer_sequence}_{counter:05d}\n{sequence[start:end]}\n')
+                for hit in matching_sequence_hits:
+                    output.write(f'>{sample_name}_{primer_sequence}_{counter:05d}\n{hit[1]}\n')
                     counter += 1
     progress.end()
 
-    if only_report_primer_matches:
-        run.info_single(f"Someone asked anvi'o to only report primer matches. And they are ready in your output directory.")
+    if report_raw:
+        run.info_single(f"Output files for raw sequences are ready in {output_directory_path}")
         sys.exit()
 
     progress.new("Generating the fancy hits files")
@@ -197,14 +191,14 @@ def main(args):
 
             matching_sequence_hits = primers_dict[primer_sequence]['matching_sequences'][sample_name]
             primer_length = primers_dict[primer_sequence]['primer_length']
-            seq_lengths_after_match = [len(sequence[end:]) for start, end, sequence in matching_sequence_hits]
+            seq_lengths_after_match = [len(s[1][s[0]+primer_length:]) for s in matching_sequence_hits]
 
             with open(trimmed_output_file_path, 'w') as trimmed, open(gapped_output_file_path, 'w') as gapped:
                 max_seq_length = (max(seq_lengths_after_match) + primer_length) if len(seq_lengths_after_match) else 0
                 min_seq_length = (min(seq_lengths_after_match) + primer_length) if len(seq_lengths_after_match) else 0
                 counter = 1
-                for start, end, sequence in matching_sequence_hits:
-                    sequence = sequence[start:]
+                for hit in matching_sequence_hits:
+                    sequence = hit[1][hit[0]:]
 
                     sequence = sequence + '-' * (max_seq_length - len(sequence))
                     gapped.write(f'>{sample_name}_{primer_sequence}_{counter:05d}\n{sequence}\n')
@@ -226,21 +220,16 @@ if __name__ == '__main__':
                             "which you are interested to find in those FASTQ files. Each file should have at least one "
                             "entry")
     groupA.add_argument(*anvio.A('samples-txt'), **anvio.K('samples-txt'))
-    groupA.add_argument('--primers-txt', required=True, metavar='FILE', help="A two-column file that contains one "
-                            "or more primer sequences. See the primers-txt artifact for details.")
+    groupA.add_argument('--primer-sequences', required=True, metavar='FILE', help="A single-column file that contains one "
+                            "or more short sequences to be searhed.")
 
-    groupB = parser.add_argument_group('PARAMETERS OF LIFE OR DEATH', "Here you are expected to set appropriate "
-                            "parameters for your search (or you can choose to go with the defaults)")
+    groupB = parser.add_argument_group('PARAMETERS OF LIFE AND DEATH', "Here you are expected to set appropriate "
+                            "paramters for your search (or you can choose to go with the defaults)")
     groupB.add_argument('-m', '--min-remainder-length', metavar='INT', type=int, default=60,
                         help="Minimum length of the remainder of the read after a match. If your short read "
                               "is XXXMMMMMMYYYYYYYYYYYYYY, where Ms indicate the primer sequence, "
                               "min remainder length is equal to the length of nucleotide matching Y. Default is %(default)d.")
-    groupB.add_argument('-x', '--only-report-primer-matches', default=False, action="store_true",
-                        help="For a given sequence with a primer match, report only the part of it that matches to the primer. "
-                             "In other words, if your short read is XXXMMMMMMYYYYYYYYYYYYYY, where Ms indicate part of your "
-                             "sequence that matches to the primer, setting this flag will remove all Xs and Ys. Setting "
-                             "this flag will automatically set the `--min-remainder-length` to 0. If you have a problem with "
-                             "that, let us know.")
+    groupB.add_argument('--report-raw', action="store_true", help="Just report them sequences. Don't bother trimming.")
     groupB.add_argument('--stop-after', metavar='INT', type=int, default=0, help="Stop after X number of hits because "
                                "who needs data.")
 
diff --git a/sandbox/anvi-script-permute-trnaseq-seeds b/sandbox/anvi-script-permute-trnaseq-seeds
deleted file mode 100755
index 3947c94ac3..0000000000
--- a/sandbox/anvi-script-permute-trnaseq-seeds
+++ /dev/null
@@ -1,190 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8
-
-import sys
-
-import anvio
-import anvio.dbops as dbops
-import anvio.terminal as terminal
-import anvio.filesnpaths as filesnpaths
-
-from functools import partial
-from itertools import combinations, product
-
-from anvio.dbinfo import DBInfo
-from anvio.argparse import ArgumentParser
-from anvio.errors import ConfigError, FilesNPathsError
-
-
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
-__credits__ = []
-__license__ = "GPL 3.0"
-__version__ = anvio.__version__
-__maintainer__ = "Samuel Miller"
-__email__ = "samuelmiller10@gmail.com"
-__requires__ = ['contigs-db', 'profile-db']
-__provides__ = ['contigs-fasta']
-__description__ = ("This script generates a FASTA file of tRNA-seq seeds "
-                   "with permuted nucleotides at positions of predicted modification-induced substitutions. "
-                   "The underlying nucleotide without modification is not always the most common base call. "
-                   "The resulting FASTA file can be queried against a database of tRNA genes "
-                   "to validate nucleotides at modified positions and find the most similar sequences.")
-
-
-run = terminal.Run()
-progress = terminal.Progress()
-pp = terminal.pretty_print
-
-
-def main(args):
-    contigs_db_path = args.contigs_db
-    profile_db_path = args.specific_profile_db
-    fasta_path = args.contigs_fasta
-    min_nt_freq = args.min_nt_frequency
-    max_var_positions = args.max_variable_positions
-    overwrite_out_dest = args.overwrite_output_destinations
-
-    contigs_db_info = DBInfo(contigs_db_path, expecting='contigs')
-    if contigs_db_info.variant != 'trnaseq':
-        raise ConfigError("The provided contigs database must be a 'trnaseq' variant. "
-                          f"Yours was a '{contigs_db_info.variant}' variant.")
-
-    profile_db_info = DBInfo(profile_db_path, expecting='profile')
-    if profile_db_info.variant != 'trnaseq':
-        raise ConfigError("The provided profile database must be a 'trnaseq' variant. "
-                          f"Yours was a '{profile_db_info.variant}' variant.")
-
-    filesnpaths.is_output_file_writable(fasta_path, ok_if_exists=overwrite_out_dest)
-
-
-    with contigs_db_info.load_db() as contigs_db:
-        contig_names_seqs = contigs_db.get_table_as_list_of_tuples('contig_sequences')
-
-    with profile_db_info.load_db() as profile_db:
-        var_nts_gb = get_var_nts_gb(profile_db)
-
-    fasta = open(fasta_path, 'w')
-    write_entries_to_fasta = partial(write_entries, fasta=fasta)
-    get_var_nts_dict_with_min_nt_freq = partial(get_var_nts_dict, min_nt_freq=min_nt_freq)
-
-    seed_count = -1
-    seed_total = len(contig_names_seqs)
-    permut_seq_count = 0
-    max_permut_seq_count = 0
-    progress.new("Writing output")
-    for contig_name, contig_seq in contig_names_seqs:
-        seed_count += 1
-        if seed_count % 100 == 0:
-            progress.update(f"{seed_count}/{seed_total} seeds")
-
-        try:
-            contig_var_nts_df = var_nts_gb.get_group(contig_name)
-        except KeyError:
-            write_entries_to_fasta(contig_name, contig_seq)
-            continue
-
-        var_nts_dict = get_var_nts_dict_with_min_nt_freq(contig_var_nts_df)
-        if not var_nts_dict:
-            write_entries_to_fasta(contig_name, contig_seq)
-            continue
-
-        permut_contigs_info = get_permut_contigs_info(var_nts_dict, max_var_positions, contig_seq)
-
-        remove_orig_contig(permut_contigs_info, contig_seq)
-        permut_seq_count += len(permut_contigs_info)
-        max_permut_seq_count = max(len(permut_contigs_info), max_permut_seq_count)
-        write_entries_to_fasta(contig_name, contig_seq, permut_contigs_info=permut_contigs_info)
-    progress.end()
-
-    run.info("Mean permuted seqs per contig", round(permut_seq_count / seed_total, 1))
-    run.info("Max permuted seqs from a contig", pp(max_permut_seq_count))
-
-
-def get_var_nts_gb(profile_db):
-    var_nts_df = profile_db.get_table_as_dataframe('variable_nucleotides', columns_of_interest=['split_name', 'pos', 'A', 'C', 'G', 'T'])
-    var_nts_df['contig_name'] = var_nts_df['split_name'].apply(lambda s: s.split('_split_00001')[0])
-    var_nts_df = var_nts_df.drop('split_name', axis=1)
-    var_nts_df = var_nts_df.set_index('contig_name')
-    return var_nts_df.groupby('contig_name')
-
-
-def get_var_nts_dict(contig_var_nts_df, min_nt_freq):
-    var_nts_dict = {}
-    for pos, contig_var_nts_df in contig_var_nts_df.set_index('pos').groupby('pos', sort=False):
-        total_nts_df = contig_var_nts_df.sum(axis=0)
-        total_nts_freq_series = total_nts_df / total_nts_df.sum()
-        total_nts_series = total_nts_df[total_nts_freq_series > min_nt_freq]
-        total_nts_series = total_nts_series.loc[~total_nts_series.index.isin([total_nts_series.idxmax()])]
-
-        if len(total_nts_series) == 0:
-            continue
-
-        var_nts_dict[pos] = tuple(total_nts_series.index)
-    return var_nts_dict
-
-
-def write_entries(contig_name, contig_seq, fasta, permut_contigs_info=None):
-    fasta.write(f">{contig_name}|\n{contig_seq}\n")
-    if not permut_contigs_info:
-        return
-    for contig_seq, permut_positions, permut_nts in permut_contigs_info:
-        fasta.write(f">{contig_name}|{'_'.join([str(permut_pos) + permut_nt for permut_pos, permut_nt in zip(permut_positions, permut_nts)])}\n{contig_seq}\n")
-
-
-def get_permut_contigs_info(var_nts_dict, max_var_positions, contig_seq):
-    permut_contigs_info = []
-    for num_var_positions in range(1, min(len(var_nts_dict), max_var_positions) + 1):
-        permut_combos = combinations(var_nts_dict, num_var_positions)
-        for permut_positions in permut_combos:
-            for permut_nts in product(*[var_nts_dict[pos] for pos in permut_positions]):
-                permut_contig_seq = contig_seq
-                for pos, nt in zip(permut_positions, permut_nts):
-                    permut_contig_seq = permut_contig_seq[: pos] + nt + permut_contig_seq[pos + 1: ]
-                permut_contigs_info.append((permut_contig_seq, tuple(permut_positions), tuple(permut_nts)))
-    return permut_contigs_info
-
-
-def remove_orig_contig(permut_contigs_info, contig_seq):
-    orig_index = None
-    for i, permut_contig_info in enumerate(permut_contigs_info):
-        if permut_contig_info[0] == contig_seq:
-            orig_index = i
-            break
-    if orig_index is None:
-        return False
-    permut_contigs_info.pop(orig_index)
-    return True
-
-
-if __name__ == '__main__':
-    parser = ArgumentParser()
-
-    parser.add_argument_group('MANDATORY')
-    parser.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
-    parser.add_argument(*anvio.A('specific-profile-db'), **anvio.K('specific-profile-db'))
-    parser.add_argument(*anvio.A('contigs-fasta'),
-                        **anvio.K('contigs-fasta', {'help': 'FASTA file to generate'}))
-
-    parser.add_argument_group('OPTIONAL')
-    parser.add_argument('-n', '--min-nt-frequency',
-                        metavar='FLOAT', type=float,
-                        default=0.05,
-                        help="For a position in a contig, this is the minimum nucleotide frequency, summed across all samples, "
-                             "required for the nucleotide to be substituted in permuted sequences.")
-    parser.add_argument('-x', '--max-variable-positions',
-                        metavar='INT', type=int,
-                        default=5,
-                        help="The maximum number of modified positions that can be permuted at once in a contig.")
-    parser.add_argument(*anvio.A('overwrite-output-destinations'), **anvio.K('overwrite-output-destinations'))
-
-    args = parser.parse_args()
-
-    try:
-        main(args)
-    except ConfigError as e:
-        print(e)
-        sys.exit(-1)
-    except FilesNPathsError as e:
-        print(e)
-        sys.exit(-2)
diff --git a/sandbox/anvi-script-pfam-accessions-to-hmms-directory b/sandbox/anvi-script-pfam-accessions-to-hmms-directory
index 51e86bd405..ceb6dbee14 100755
--- a/sandbox/anvi-script-pfam-accessions-to-hmms-directory
+++ b/sandbox/anvi-script-pfam-accessions-to-hmms-directory
@@ -86,7 +86,7 @@ def main(args):
         data_dict[pfam_accession] = {}
         data_dict[pfam_accession]['ga'] = get_attribute_from_hmm_file(fp, 'GA ')
         data_dict[pfam_accession]['gene'] = get_attribute_from_hmm_file(fp, 'NAME')
-        data_dict[pfam_accession]['accession'] = get_attribute_from_hmm_file(fp, 'ACC')
+        data_dict[pfam_accession]['accession'] = pfam_accession
         data_dict[pfam_accession]['temp_file_path'] = fp
     progress.end()
 
diff --git a/sandbox/anvi-script-reformat-fasta b/sandbox/anvi-script-reformat-fasta
index cf0c1f32cc..629205a7e3 100755
--- a/sandbox/anvi-script-reformat-fasta
+++ b/sandbox/anvi-script-reformat-fasta
@@ -2,7 +2,6 @@
 # -*- coding: utf-8
 
 import sys
-import shutil
 
 import pandas as pd
 
@@ -20,7 +19,7 @@ __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['meren', 'ekiefl']
+__authors__ = ['meren']
 __requires__ = ["fasta"]
 __provides__ = ["contigs-fasta"]
 __description__ =  ("Reformat FASTA file (remove contigs based on length, or based on a given list of "
@@ -29,35 +28,14 @@ __description__ =  ("Reformat FASTA file (remove contigs based on length, or bas
 
 run = terminal.Run()
 progress = terminal.Progress()
-pp = terminal.pretty_print
 
 
 def reformat_FASTA(args):
     if args.keep_ids and args.exclude_ids:
         raise ConfigError("You can't use`--exclude-ids and --keep-ids together :/")
 
-    if args.exact_length and args.min_len:
-        raise ConfigError(f"You can't ask your reads to be an exact lenght of {args.exact_length} "
-                          f"and longer than {args.min_len} at the same time. It just doesn't make "
-                          f"any sense and that's why.")
-
-    if args.output_file and args.overwrite_input:
-        raise ConfigError("You can't ask anvi'o to overwrite your input file, and also provide an "
-                          "output file name at the same time.")
-
-    if not args.overwrite_input and not args.output_file:
-        raise ConfigError("You have not provided an output file name. If you are feeling extra "
-                          "adventurous today and would like anvi'o to overwrite your input file "
-                          "you must use the `--overwrite` flag.")
-
-    # if the user wants to overwrite the input file, we will do it by first
-    # setting the output file path to a temp file, and then moving it on
-    # top of the input file, overwriting it forever.
-    if args.overwrite_input:
-       args.output_file = filesnpaths.get_temp_file_path()
-
-    filesnpaths.is_file_exists(args.contigs_fasta)
     filesnpaths.is_output_file_writable(args.output_file)
+    filesnpaths.is_file_exists(args.contigs_fasta)
 
     report_file = open(args.report_file, 'w') if args.report_file and args.simplify_names else None
     prefix = args.prefix if args.prefix else None
@@ -93,13 +71,13 @@ def reformat_FASTA(args):
     if args.export_gap_counts_table:
         gaps_info_list = []
 
-    # summary of where we are
-    run.info('Input', args.contigs_fasta)
+    output = u.FastaOutput(args.output_file)
+    fasta = u.SequenceSource(args.contigs_fasta)
 
-    if args.overwrite_input:
-        run.info('Output', "(anvi'o will overwrite your input file)", mc='red')
-    else:
-        run.info('Output', args.output_file)
+    run.info('Input', args.contigs_fasta)
+    run.info('Output', args.output_file)
+    run.info('Minimum length', args.min_len)
+    run.info('Max % gaps allowed', '%.2f%%' % args.max_percentage_gaps)
 
     total_num_nucleotides = 0
     total_num_contigs = 0
@@ -107,9 +85,6 @@ def reformat_FASTA(args):
     total_num_nucleotides_modified = 0
     total_num_contigs_removed = 0
 
-    output = u.FastaOutput(args.output_file)
-    fasta = u.SequenceSource(args.contigs_fasta)
-
     while next(fasta):
         l = len(fasta.seq)
 
@@ -136,12 +111,7 @@ def reformat_FASTA(args):
             total_num_contigs_removed += 1
             continue
 
-        length = len(fasta.seq)
-        if args.exact_length and length != args.exact_length:
-            total_num_nucleotides_removed += l
-            total_num_contigs_removed += 1
-            continue
-        elif length < args.min_len:
+        if len(fasta.seq) < args.min_len:
             total_num_nucleotides_removed += l
             total_num_contigs_removed += 1
             continue
@@ -185,96 +155,60 @@ def reformat_FASTA(args):
     fasta.close()
     output.close()
 
-    if args.overwrite_input:
-        shutil.move(args.output_file, args.contigs_fasta)
-
-    run.warning(None, header='WHAT WAS THERE', lc="cyan")
     run.info('Total num contigs', total_num_contigs)
     run.info('Total num nucleotides', total_num_nucleotides)
-
-    run.warning(None, header='WHAT WAS ASKED', lc="cyan")
-    run.info('Simplify deflines?', "Yes" if args.simplify_names else "No")
-    run.info('Add prefix to sequence names?', f"Yes, add '{args.prefix}'" if args.prefix else "No")
-    run.info('Exact length of contigs to keep', args.exact_length, mc="red") if args.exact_length else run.info("Minimum length of contigs to keep", args.min_len)
-    run.info('Max % gaps allowed', '%.2f%%' % args.max_percentage_gaps)
-    run.info('Max num gaps allowed', args.max_gaps)
-    run.info('Exclude specific sequences?', f"Yes, those listed in {args.exclude_ids}" if args.exclude_ids else "No")
-    run.info('Keep specific sequences?', f"Yes, those listed in {args.keep_ids}" if args.keep_ids else "No")
-    run.info('Enforce sequence type?', f"Yes, enforce '{args.seq_type}'" if args.seq_type else "No")
-
-    run.warning(None, header='WHAT HAPPENED', lc="cyan")
-    run.info('Contigs removed', f'{pp(total_num_contigs_removed)} ({total_num_contigs_removed * 100.0 / total_num_contigs:.2f}% of all)', mc='green')
-    run.info('Nucleotides removed', f'{pp(total_num_nucleotides_removed)} ({total_num_nucleotides_removed * 100.0 / total_num_nucleotides:.2f}% of all)', mc='green')
-    run.info('Nucleotides modified', f'{pp(total_num_nucleotides_modified)} ({total_num_nucleotides_modified * 100.0 / total_num_nucleotides:.5f}% of all)', mc='green')
+    run.info('Contigs removed', '%d (%.2f%% of all)' % (total_num_contigs_removed, total_num_contigs_removed * 100.0 / total_num_contigs), mc='green')
+    run.info('Nucleotides removed', '%d (%.2f%% of all)' % (total_num_nucleotides_removed, total_num_nucleotides_removed * 100.0 / total_num_nucleotides), mc='green')
+    run.info('Nucleotides modified', '%d (%.2f%% of all)' % (total_num_nucleotides_modified, total_num_nucleotides_modified * 100.0 / total_num_nucleotides), mc='green')
     run.info('Deflines simplified', args.simplify_names, mc='green')
 
-    if args.overwrite_input:
-        run.info_single("The contents of your input file have changed because you used "
-                        "the flag `--overwrite-input`.", nl_before=1, nl_after=1)
-
 
 if __name__ == '__main__':
     from anvio.argparse import ArgumentParser
     parser = ArgumentParser(description=__description__)
 
-    groupA = parser.add_argument_group('INPUT', 'The input file you wish to work with.')
-    groupA.add_argument('contigs_fasta', metavar='FASTA FILE')
-
-    groupB = parser.add_argument_group('OUTPUT', 'Dealing with the output.')
-    groupB.add_argument('-o', '--output-file', required=False, metavar='FASTA FILE PATH',
-                        help="Output file path for a NEW FASTA file. If you want all changes to be "
-                             "stored in the same file, see the `--overwrite` flag.")
-    groupB.add_argument('--overwrite-input', default=False, action="store_true",
-                        help="Instead of reporting a new file, overwrite the input file. For those of "
-                             "us who loves to live life at the very edge of it. A case of we can't go "
-                             "back, Kate.")
-    groupB.add_argument('-r', '--report-file', required=False, metavar='TXT FILE PATH',
-                        help="When you run this program with `--simplify-names` flag, all changes to "
-                             "deflines will be reported in this file in case you need to go back to this "
-                             "information later. It is not mandatory to declare one, but it is a very good "
-                             "idea to have it.")
-
-    groupC = parser.add_argument_group('OPERATIONS: RENAME YOUR DEFLINES')
-    groupC.add_argument('--simplify-names', default=False, action="store_true",
-                        help="Edit deflines to make sure they contigs have simple names.")
-    groupC.add_argument('--prefix', default=None, metavar="PREFIX",
-                        help="Use this parameter if you would like to add a prefix to your contig\
-                              names while simplifying them. The prefix must be a single word (you\
-                              can use underscor character, but nothing more!).")
-
-    groupD = parser.add_argument_group('OPERATIONS: TAME YOUR SEQUENCES')
-    groupD.add_argument('-l', '--min-len', type=int, default=0, metavar='INT',
+    parser.add_argument('contigs_fasta', metavar='FASTA FILE')
+    parser.add_argument('-l', '--min-len', type=int, default=0, metavar='MIN_LENGTH',
                         help="Minimum length of contigs to keep (contigs shorter than this value\
                               will not be included in the output file). The default is %(default)d,\
                               so nothing will be removed if you do not declare a minimum size.")
-    groupD.add_argument('--exact-length', type=int, default=None, metavar='INT',
-                        help="Exact lenght of the sequences you wish to keep from a FASTA fille. Why \
-                              would anyone need that? Anvi'o does not know. But there you have it. This \
-                              parameter is indeed incompatible with a lot of others, such as `--min-len`.")
-    groupD.add_argument('--max-percentage-gaps', type=float, default=100, metavar='PERCENTAGE',
+    parser.add_argument('--max-percentage-gaps', type=float, default=100, metavar='PERCENTAGE',
                         help="Maximum fraction of gaps in a sequence (any sequence with \
                               more gaps will be removed from the output FASTA file). The \
                               default is %(default)f.")
-    groupD.add_argument('-M','--max-gaps', type=float, default=1000000,
+    parser.add_argument('-M','--max-gaps', type=float, default=1000000,
                         help="Maximum amount of gaps allowed per sequence in the alignment. \
                               Don't know which threshold to pick? Use --export-gap-counts-table \
                               to explore the gap counts per sequence distribution!")
-    groupD.add_argument('-i', '--exclude-ids', required=False, metavar='TXT FILE',
+    parser.add_argument('-i', '--exclude-ids', required=False, metavar='TXT FILE',
                         help="IDs to remove from the FASTA file. You cannot provide both\
                               --keep-ids and --exclude-ids.")
-    groupD.add_argument('--export-gap-counts-table', required=False, metavar='TSV FILE',
+    parser.add_argument('--export-gap-counts-table', required=False, metavar='TSV FILE',
                         help="Export a table with the number of gaps per sequence. \
                               Please provide a prefix to name the file.")
-    groupD.add_argument('-I', '--keep-ids', type=str, required=False, metavar='TXT FILE',
+    parser.add_argument('-I', '--keep-ids', type=str, required=False, metavar='TXT FILE',
                         help="If provided, all IDs not in this file will be excluded from the\
                               reformatted FASTA file. Any additional filters (such as --min-len)\
                               will still be applied to the IDs in this file. You cannot provide both\
                               --exclude-ids and --keep-ids.")
-    groupD.add_argument('--seq-type', default=None, metavar="SEQ TYPE", choices={'AA', 'NT'},
+    parser.add_argument('-o', '--output-file', required=True, metavar='FASTA FILE',
+                        help="Output file path.")
+    parser.add_argument('--simplify-names', default=False, action="store_true",
+                        help="Edit deflines to make sure they contigs have simple names.")
+    parser.add_argument('--prefix', default=None, metavar="PREFIX",
+                        help="Use this parameter if you would like to add a prefix to your contig\
+                              names while simplifying them. The prefix must be a single word (you\
+                              can use underscor character, but nothing more!).")
+    parser.add_argument('--seq-type', default=None, metavar="SEQ TYPE", choices={'AA', 'NT'},
                         help=("Supply either 'NT' or 'AA' (if you want). If 'NT', any characters besides {A,C,T,G} will "
                               "by replaced with 'N'. If 'AA', any characters that are not 1-letter amino acid "
                               "characters will be replaced with 'X'. If you don't supply anything, no charaters will be "
                               "modified."))
+    parser.add_argument('-r', '--report-file', required=False, metavar='REPORT FILE',
+                        help="Report file path. When you run this program with `--simplify-names`\
+                              flag, all changes to deflines will be reported in this file\
+                              in case you need to go back to this information later. It is not\
+                              mandatory to declare one, but it is a very good idea to have it.")
 
     args = parser.get_args(parser)
 

From 3b8e5f9b0eed2746aa6053429fd0af74da3a2392 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:26:38 +0000
Subject: [PATCH 0604/1020] Revert "add params to MUSCLE sequence aligner"

This reverts commit 0d312a7a69a21d32a2f9e507be2c33fc61e4d7c8.
---
 .../ecophylo/no-samples-txt-config.json       | 118 +++++++
 .../only-external-genomes-txt-config.json     | 118 +++++++
 .../ecophylo/only-metagenomes-txt-config.json | 118 +++++++
 anvio/workflows/ecophylo/Snakefile            |  14 +-
 anvio/workflows/ecophylo/__init__.py          | 329 ++++++++++++++++++
 5 files changed, 690 insertions(+), 7 deletions(-)
 create mode 100644 anvio/tests/sandbox/workflows/ecophylo/no-samples-txt-config.json
 create mode 100644 anvio/tests/sandbox/workflows/ecophylo/only-external-genomes-txt-config.json
 create mode 100644 anvio/tests/sandbox/workflows/ecophylo/only-metagenomes-txt-config.json
 create mode 100644 anvio/workflows/ecophylo/__init__.py

diff --git a/anvio/tests/sandbox/workflows/ecophylo/no-samples-txt-config.json b/anvio/tests/sandbox/workflows/ecophylo/no-samples-txt-config.json
new file mode 100644
index 0000000000..018172b95a
--- /dev/null
+++ b/anvio/tests/sandbox/workflows/ecophylo/no-samples-txt-config.json
@@ -0,0 +1,118 @@
+{
+    "metagenomes": "metagenomes.txt",
+    "external_genomes": "external-genomes.txt",
+    "hmm_list": "hmm_list.txt",
+    "cluster_representative_method": {
+        "method": "mmseqs"
+    },
+    "anvi_run_hmms_hmmsearch": {
+        "threads": 5,
+        "additional_params": ""
+    },
+    "filter_hmm_hits_by_query_coverage": {
+        "threads": 5,
+        "--query-coverage": 0.8,
+        "additional_params": ""
+    },
+    "anvi_get_sequences_for_hmm_hits": {
+        "threads": 2
+    },
+    "simplify_names_from_hmm_hits": {
+        "threads": 2
+    },
+    "combine_sequence_data": {
+        "threads": 2
+    },
+    "anvi_get_external_gene_calls_file": {
+        "threads": 5
+    },
+    "cat_external_gene_calls_file": {
+        "threads": 2
+    },
+    "cluster_X_percent_sim_mmseqs": {
+        "threads": 5,
+        "--min-seq-id": 0.94
+    },
+    "subset_AA_seqs_with_mmseqs_reps": {
+        "threads": 2
+    },
+    "align_sequences": {
+        "threads": 5
+    },
+    "trim_alignment": {
+        "threads": 5,
+        "-gappyout": true,
+        "-gt": "",
+        "additional_params": ""
+    },
+    "remove_sequences_with_X_percent_gaps": {
+        "threads": 5,
+        "--max-percentage-gaps": 50
+    },
+    "count_num_sequences_filtered": {
+        "threads": 5
+    },
+    "subset_DNA_reps_with_QCd_AA_reps_for_mapping": {
+        "threads": 2
+    },
+    "subset_external_gene_calls_file_all": {
+        "threads": 2
+    },
+    "make_fasta_txt": {
+        "threads": 5
+    },
+    "fasttree": {
+        "run": true,
+        "threads": 5
+    },
+    "iqtree": {
+        "threads": 5,
+        "-m": "MFP",
+        "run": "",
+        "additional_params": ""
+    },
+    "make_metagenomics_config_file": {
+        "threads": 1
+    },
+    "run_metagenomics_workflow": {
+        "threads": 5,
+        "clusterize": false,
+        "cluster_submission_params": ""
+    },
+    "add_default_collection": {
+        "threads": 5
+    },
+    "anvi_summarize": {
+        "threads": 5
+    },
+    "rename_tree_tips": {
+        "threads": 1
+    },
+    "make_misc_data": {
+        "threads": 2
+    },
+    "anvi_scg_taxonomy": {
+        "threads": 5
+    },
+    "make_anvio_state_file": {
+        "threads": 5
+    },
+    "anvi_import_everything": {
+        "threads": 5
+    },
+    "samples_txt": "",
+    "output_dirs": {
+        "EXTRACTED_RIBO_PROTEINS_DIR": "ECOPHYLO_WORKFLOW/01_REFERENCE_PROTEIN_DATA",
+        "RIBOSOMAL_PROTEIN_FASTAS": "ECOPHYLO_WORKFLOW/02_NR_FASTAS",
+        "MSA": "ECOPHYLO_WORKFLOW/03_MSA",
+        "RIBOSOMAL_PROTEIN_MSA_STATS": "ECOPHYLO_WORKFLOW/04_SEQUENCE_STATS",
+        "TREES": "ECOPHYLO_WORKFLOW/05_TREES",
+        "MISC_DATA": "ECOPHYLO_WORKFLOW/06_MISC_DATA",
+        "SCG_NT_FASTAS": "ECOPHYLO_WORKFLOW/07_SCG_NT_FASTAS",
+        "RIBOSOMAL_PROTEIN_FASTAS_RENAMED": "ECOPHYLO_WORKFLOW/08_RIBOSOMAL_PROTEIN_FASTAS_RENAMED",
+        "LOGS_DIR": "00_LOGS"
+    },
+    "max_threads": "",
+    "config_version": "2",
+    "workflow_name": "ecophylo"
+}
diff --git a/anvio/tests/sandbox/workflows/ecophylo/only-external-genomes-txt-config.json b/anvio/tests/sandbox/workflows/ecophylo/only-external-genomes-txt-config.json
new file mode 100644
index 0000000000..98d59d06b1
--- /dev/null
+++ b/anvio/tests/sandbox/workflows/ecophylo/only-external-genomes-txt-config.json
@@ -0,0 +1,118 @@
+{
+    "metagenomes": "",
+    "external_genomes": "external-genomes.txt",
+    "hmm_list": "hmm_list_external.txt",
+    "cluster_representative_method": {
+        "method": "mmseqs"
+    },
+    "anvi_run_hmms_hmmsearch": {
+        "threads": 5,
+        "additional_params": ""
+    },
+    "filter_hmm_hits_by_query_coverage": {
+        "threads": 5,
+        "--query-coverage": 0.8,
+        "additional_params": ""
+    },
+    "anvi_get_sequences_for_hmm_hits": {
+        "threads": 2
+    },
+    "simplify_names_from_hmm_hits": {
+        "threads": 2
+    },
+    "combine_sequence_data": {
+        "threads": 2
+    },
+    "anvi_get_external_gene_calls_file": {
+        "threads": 5
+    },
+    "cat_external_gene_calls_file": {
+        "threads": 2
+    },
+    "cluster_X_percent_sim_mmseqs": {
+        "threads": 5,
+        "--min-seq-id": 0.94
+    },
+    "subset_AA_seqs_with_mmseqs_reps": {
+        "threads": 2
+    },
+    "align_sequences": {
+        "threads": 5
+    },
+    "trim_alignment": {
+        "threads": 5,
+        "-gappyout": true,
+        "-gt": "",
+        "additional_params": ""
+    },
+    "remove_sequences_with_X_percent_gaps": {
+        "threads": 5,
+        "--max-percentage-gaps": 50
+    },
+    "count_num_sequences_filtered": {
+        "threads": 5
+    },
+    "subset_DNA_reps_with_QCd_AA_reps_for_mapping": {
+        "threads": 2
+    },
+    "subset_external_gene_calls_file_all": {
+        "threads": 2
+    },
+    "make_fasta_txt": {
+        "threads": 5
+    },
+    "fasttree": {
+        "run": true,
+        "threads": 5
+    },
+    "iqtree": {
+        "threads": 5,
+        "-m": "MFP",
+        "run": "",
+        "additional_params": ""
+    },
+    "make_metagenomics_config_file": {
+        "threads": 1
+    },
+    "run_metagenomics_workflow": {
+        "threads": 5,
+        "clusterize": false,
+        "cluster_submission_params": ""
+    },
+    "add_default_collection": {
+        "threads": 5
+    },
+    "anvi_summarize": {
+        "threads": 5
+    },
+    "rename_tree_tips": {
+        "threads": 1
+    },
+    "make_misc_data": {
+        "threads": 2
+    },
+    "anvi_scg_taxonomy": {
+        "threads": 5
+    },
+    "make_anvio_state_file": {
+        "threads": 5
+    },
+    "anvi_import_everything": {
+        "threads": 5
+    },
+    "samples_txt": "samples.txt",
+    "output_dirs": {
+        "EXTRACTED_RIBO_PROTEINS_DIR": "ECOPHYLO_WORKFLOW/01_REFERENCE_PROTEIN_DATA",
+        "RIBOSOMAL_PROTEIN_FASTAS": "ECOPHYLO_WORKFLOW/02_NR_FASTAS",
+        "MSA": "ECOPHYLO_WORKFLOW/03_MSA",
+        "RIBOSOMAL_PROTEIN_MSA_STATS": "ECOPHYLO_WORKFLOW/04_SEQUENCE_STATS",
+        "TREES": "ECOPHYLO_WORKFLOW/05_TREES",
+        "MISC_DATA": "ECOPHYLO_WORKFLOW/06_MISC_DATA",
+        "SCG_NT_FASTAS": "ECOPHYLO_WORKFLOW/07_SCG_NT_FASTAS",
+        "RIBOSOMAL_PROTEIN_FASTAS_RENAMED": "ECOPHYLO_WORKFLOW/08_RIBOSOMAL_PROTEIN_FASTAS_RENAMED",
+        "LOGS_DIR": "00_LOGS"
+    },
+    "max_threads": "",
+    "config_version": "2",
+    "workflow_name": "ecophylo"
+}
diff --git a/anvio/tests/sandbox/workflows/ecophylo/only-metagenomes-txt-config.json b/anvio/tests/sandbox/workflows/ecophylo/only-metagenomes-txt-config.json
new file mode 100644
index 0000000000..24580326d6
--- /dev/null
+++ b/anvio/tests/sandbox/workflows/ecophylo/only-metagenomes-txt-config.json
@@ -0,0 +1,118 @@
+{
+    "metagenomes": "metagenomes.txt",
+    "external_genomes": "",
+    "hmm_list": "hmm_list.txt",
+    "cluster_representative_method": {
+        "method": "mmseqs"
+    },
+    "anvi_run_hmms_hmmsearch": {
+        "threads": 5,
+        "additional_params": ""
+    },
+    "filter_hmm_hits_by_query_coverage": {
+        "threads": 5,
+        "--query-coverage": 0.8,
+        "additional_params": ""
+    },
+    "anvi_get_sequences_for_hmm_hits": {
+        "threads": 2
+    },
+    "simplify_names_from_hmm_hits": {
+        "threads": 2
+    },
+    "combine_sequence_data": {
+        "threads": 2
+    },
+    "anvi_get_external_gene_calls_file": {
+        "threads": 5
+    },
+    "cat_external_gene_calls_file": {
+        "threads": 2
+    },
+    "cluster_X_percent_sim_mmseqs": {
+        "threads": 5,
+        "--min-seq-id": 0.94
+    },
+    "subset_AA_seqs_with_mmseqs_reps": {
+        "threads": 2
+    },
+    "align_sequences": {
+        "threads": 5
+    },
+    "trim_alignment": {
+        "threads": 5,
+        "-gappyout": true,
+        "-gt": "",
+        "additional_params": ""
+    },
+    "remove_sequences_with_X_percent_gaps": {
+        "threads": 5,
+        "--max-percentage-gaps": 50
+    },
+    "count_num_sequences_filtered": {
+        "threads": 5
+    },
+    "subset_DNA_reps_with_QCd_AA_reps_for_mapping": {
+        "threads": 2
+    },
+    "subset_external_gene_calls_file_all": {
+        "threads": 2
+    },
+    "make_fasta_txt": {
+        "threads": 5
+    },
+    "fasttree": {
+        "run": true,
+        "threads": 5
+    },
+    "iqtree": {
+        "threads": 5,
+        "-m": "MFP",
+        "run": "",
+        "additional_params": ""
+    },
+    "make_metagenomics_config_file": {
+        "threads": 1
+    },
+    "run_metagenomics_workflow": {
+        "threads": 5,
+        "clusterize": false,
+        "cluster_submission_params": ""
+    },
+    "add_default_collection": {
+        "threads": 5
+    },
+    "anvi_summarize": {
+        "threads": 5
+    },
+    "rename_tree_tips": {
+        "threads": 1
+    },
+    "make_misc_data": {
+        "threads": 2
+    },
+    "anvi_scg_taxonomy": {
+        "threads": 5
+    },
+    "make_anvio_state_file": {
+        "threads": 5
+    },
+    "anvi_import_everything": {
+        "threads": 5
+    },
+    "samples_txt": "samples.txt",
+    "output_dirs": {
+        "EXTRACTED_RIBO_PROTEINS_DIR": "ECOPHYLO_WORKFLOW/01_REFERENCE_PROTEIN_DATA",
+        "RIBOSOMAL_PROTEIN_FASTAS": "ECOPHYLO_WORKFLOW/02_NR_FASTAS",
+        "MSA": "ECOPHYLO_WORKFLOW/03_MSA",
+        "RIBOSOMAL_PROTEIN_MSA_STATS": "ECOPHYLO_WORKFLOW/04_SEQUENCE_STATS",
+        "TREES": "ECOPHYLO_WORKFLOW/05_TREES",
+        "MISC_DATA": "ECOPHYLO_WORKFLOW/06_MISC_DATA",
+        "SCG_NT_FASTAS": "ECOPHYLO_WORKFLOW/07_SCG_NT_FASTAS",
+        "RIBOSOMAL_PROTEIN_FASTAS_RENAMED": "ECOPHYLO_WORKFLOW/08_RIBOSOMAL_PROTEIN_FASTAS_RENAMED",
+        "LOGS_DIR": "00_LOGS"
+    },
+    "max_threads": "",
+    "config_version": "2",
+    "workflow_name": "ecophylo"
+}
diff --git a/anvio/workflows/ecophylo/Snakefile b/anvio/workflows/ecophylo/Snakefile
index f9830b18af..c210f680a7 100644
--- a/anvio/workflows/ecophylo/Snakefile
+++ b/anvio/workflows/ecophylo/Snakefile
@@ -446,15 +446,15 @@ if M.cluster_representative_method == "mmseqs":
 
 rule align_sequences:
     """MSA of AA sequences subset."""
-
+    
     version: 1.0
     log: os.path.join(dirs_dict['LOGS_DIR'], "align_sequences_{HMM}.log")
-    input: os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-AA_subset.fa"),
-    output: os.path.join(dirs_dict['MSA'], "{HMM}-aligned.fa"),
-    params: additional_params = M.get_param_value_from_config(['align_sequences', 'additional_params'])
-    threads: M.T('align_sequences')
-    run:
-        shell("muscle -in {input} -out {output} {params.additional_params} -verbose 2> {log}")
+	input: os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-AA_subset.fa")  
+	output: os.path.join(dirs_dict['MSA'], "{HMM}-aligned.fa")
+	threads: M.T('align_sequences')
+	shell:
+		"muscle -in {input} -out {output} -maxiters 3 -verbose 2> {log}"
+
 
 rule trim_alignment:
     """Trim MSA alignment"""
diff --git a/anvio/workflows/ecophylo/__init__.py b/anvio/workflows/ecophylo/__init__.py
new file mode 100644
index 0000000000..243cc3141b
--- /dev/null
+++ b/anvio/workflows/ecophylo/__init__.py
@@ -0,0 +1,329 @@
+# -*- coding: utf-8
+# pylint: disable=line-too-long
+""" Classes to define and work with anvi'o ecophylo workflows. """
+
+import os
+import sys
+import anvio
+import pandas as pd
+
+import anvio
+import anvio.data.hmm
+import anvio.utils as u
+import anvio.genomedescriptions as gd
+import anvio.terminal as terminal
+import anvio.workflows as w
+import anvio.filesnpaths as filesnpaths
+
+from anvio.errors import ConfigError
+from anvio.workflows import WorkflowSuperClass
+from anvio.workflows.metagenomics import MetagenomicsWorkflow
+
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2020, the Meren Lab (http://merenlab.org/)"
+__credits__ = []
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__maintainer__ = "Matthew S. Schechter"
+__email__ = "mschechter@uchicago.edu"
+
+
+run = terminal.Run()
+
+class EcoPhyloWorkflow(WorkflowSuperClass):
+
+    def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
+        self.init_workflow_super_class(args, workflow_name='ecophylo')
+
+        # Snakemake rules
+        self.rules.extend(['anvi_run_hmms_hmmsearch',
+                           'filter_hmm_hits_by_query_coverage',
+                           'anvi_get_sequences_for_hmm_hits',
+                           'simplify_names_from_hmm_hits',
+                           'combine_sequence_data',
+                           'anvi_get_external_gene_calls_file',
+                           'cat_external_gene_calls_file',
+                           'cluster_X_percent_sim_mmseqs',
+                           'subset_AA_seqs_with_mmseqs_reps',
+                           'align_sequences',
+                           'trim_alignment',
+                           'remove_sequences_with_X_percent_gaps',
+                           'count_num_sequences_filtered',
+                           'subset_DNA_reps_with_QCd_AA_reps_for_mapping',
+                           'subset_external_gene_calls_file_all',
+                           'make_fasta_txt',
+                           'fasttree',
+                           'iqtree',
+                           'make_metagenomics_config_file',
+                           'run_metagenomics_workflow',
+                           'add_default_collection',
+                           'anvi_summarize',
+                           'rename_tree_tips',
+                           'make_misc_data',
+                           'anvi_scg_taxonomy',
+                           'make_anvio_state_file',
+                           'anvi_import_everything'
+                           ])
+
+        self.general_params.extend(['metagenomes']) # user needs to input a metagenomes.txt file
+        self.general_params.extend(['external_genomes']) # user can add isolate genomes if needed
+        self.general_params.extend(['hmm_list']) # user must input which Reference proteins will be used for workflow
+        self.general_params.extend(['samples_txt']) # user must input which Reference proteins will be used for workflow
+        self.general_params.extend(['cluster_representative_method']) # pick cluster rep based on single profile coverage values
+
+
+        # Parameters for each rule that are accessible in the config.json file
+        rule_acceptable_params_dict = {}
+
+        rule_acceptable_params_dict['anvi_run_hmms_hmmsearch'] = ['additional_params']
+        rule_acceptable_params_dict['filter_hmm_hits_by_query_coverage'] = ['--query-coverage', 'additional_params']
+        rule_acceptable_params_dict['cluster_X_percent_sim_mmseqs'] = ['--min-seq-id']
+        rule_acceptable_params_dict['trim_alignment'] = ['-gt', "-gappyout", 'additional_params']
+        rule_acceptable_params_dict['remove_sequences_with_X_percent_gaps'] = ['--max-percentage-gaps']
+        rule_acceptable_params_dict['fasttree'] = ['run']
+        rule_acceptable_params_dict['iqtree'] = ['run', '-m', 'additional_params']
+        rule_acceptable_params_dict['run_metagenomics_workflow'] = ['clusterize', 'cluster_submission_params']
+
+        self.rule_acceptable_params_dict.update(rule_acceptable_params_dict)
+
+        # Set default values for accessible rules and order of rules in config.json file
+        self.default_config.update({
+            'metagenomes': 'metagenomes.txt',
+            'external_genomes': 'external-genomes.txt',
+            'hmm_list': 'hmm_list.txt',
+            'samples_txt': 'samples.txt',
+            'cluster_representative_method': {'method': 'mmseqs'},
+            'anvi_run_hmms_hmmsearch': {'threads': 5},
+            'filter_hmm_hits_by_query_coverage': {'threads': 5, '--query-coverage': 0.8},
+            'anvi_get_sequences_for_hmm_hits': {'threads': 2},
+            'simplify_names_from_hmm_hits': {'threads': 2},
+            'combine_sequence_data': {'threads': 2},
+            'anvi_get_external_gene_calls_file': {'threads': 5},
+            'cat_external_gene_calls_file': {'threads': 2},
+            'cluster_X_percent_sim_mmseqs': {'threads': 5, '--min-seq-id': 0.94},
+            'subset_AA_seqs_with_mmseqs_reps': {'threads': 2},
+            'align_sequences': {'threads': 5},
+            'trim_alignment': {'threads': 5, '-gappyout': True},
+            'remove_sequences_with_X_percent_gaps': {'threads': 5, '--max-percentage-gaps': 50},
+            'count_num_sequences_filtered': {'threads': 5},
+            'subset_DNA_reps_with_QCd_AA_reps_for_mapping': {'threads': 2},
+            'subset_external_gene_calls_file_all': {'threads': 2},
+            'make_fasta_txt': {'threads': 5},
+            'fasttree': {'run': True, 'threads': 5},
+            'iqtree': {'threads': 5,'-m': "MFP"},
+            'make_metagenomics_config_file': {'threads': 1},
+            'run_metagenomics_workflow': {'threads': 5, 'clusterize': False},
+            'add_default_collection': {'threads': 5},
+            'anvi_summarize': {'threads': 5},
+            'rename_tree_tips': {'threads': 1},
+            'make_misc_data': {'threads': 2},
+            'anvi_scg_taxonomy': {'threads': 5},
+            'make_anvio_state_file': {'threads': 5},
+            'anvi_import_everything': {'threads': 5},
+            })
+
+        # Directory structure for Snakemake workflow
+
+        self.dirs_dict.update({"EXTRACTED_RIBO_PROTEINS_DIR": "ECOPHYLO_WORKFLOW/01_REFERENCE_PROTEIN_DATA"})
+        self.dirs_dict.update({"RIBOSOMAL_PROTEIN_FASTAS": "ECOPHYLO_WORKFLOW/02_NR_FASTAS"})
+        self.dirs_dict.update({"MSA": "ECOPHYLO_WORKFLOW/03_MSA"})
+        self.dirs_dict.update({"RIBOSOMAL_PROTEIN_MSA_STATS": "ECOPHYLO_WORKFLOW/04_SEQUENCE_STATS"})
+        self.dirs_dict.update({"TREES": "ECOPHYLO_WORKFLOW/05_TREES"})
+        self.dirs_dict.update({"MISC_DATA": "ECOPHYLO_WORKFLOW/06_MISC_DATA"})
+        self.dirs_dict.update({"SCG_NT_FASTAS": "ECOPHYLO_WORKFLOW/07_SCG_NT_FASTAS"})
+        self.dirs_dict.update({"RIBOSOMAL_PROTEIN_FASTAS_RENAMED": "ECOPHYLO_WORKFLOW/08_RIBOSOMAL_PROTEIN_FASTAS_RENAMED"})
+
+    def init(self):
+        """This function is called from within the snakefile to initialize parameters."""
+        
+        super().init()
+        #FIXME: Because 00_LOGS is hardcoded in the base class I need to reassign it
+        self.dirs_dict.update({"LOGS_DIR": "ECOPHYLO_WORKFLOW/00_LOGS"})
+
+        self.names_list = []
+        self.names_dirs = []
+        self.contigsDB_name_path_dict = {}
+        self.contigsDB_name_dir_dict = {}
+        self.contigsDB_name_bam_dict = {}
+
+        # Load metagenomes.txt
+        self.metagenomes = self.get_param_value_from_config(['metagenomes'])
+
+        if self.metagenomes:
+            filesnpaths.is_file_exists(self.metagenomes)
+            try:
+                self.metagenomes_df = pd.read_csv(self.metagenomes, sep='\t', index_col=False)
+                self.metagenomes_name_list = self.metagenomes_df.name.to_list()
+                for name in self.metagenomes_name_list:
+                    if " " in name:
+                        raise ConfigError("One of the names in your metagenomes.txt file contains spaces. "
+                                          "The EcoPhylo workflow will have a hard time with this, please "
+                                          "only use underscores in your metagenome names.")
+                    else:
+                        continue
+                self.metagenomes_path_list = self.metagenomes_df.contigs_db_path.to_list()
+                self.metagenomes_dirname_list = [os.path.dirname(x) for x in self.metagenomes_path_list]
+                self.contigsDB_name_path_dict.update(dict(zip(self.metagenomes_df.name, self.metagenomes_df.contigs_db_path)))
+                if 'bam' in self.metagenomes_df.columns:
+                    self.contigsDB_name_bam_dict.update(dict(zip(self.metagenomes_df.name, self.metagenomes_df.bam)))
+                    self.metagenomes_profiles_list = self.metagenomes_df.bam.to_list()
+                self.names_list.extend(self.metagenomes_name_list)
+
+            except IndexError as e:
+                raise ConfigError("The metagenomes.txt file, '%s', does not appear to be properly formatted. "
+                                  "This is the error from trying to load it: '%s'" % (self.metagenomes_df, e))
+
+        # Load external-genomes.txt
+        self.external_genomes = self.get_param_value_from_config(['external_genomes'])
+        if self.external_genomes:
+            filesnpaths.is_file_exists(self.external_genomes)
+            try:
+                self.external_genomes_df = pd.read_csv(self.external_genomes, sep='\t', index_col=False)
+                self.external_genomes_names_list = self.external_genomes_df.name.to_list()
+                for name in self.external_genomes_names_list:
+                    if " " in name:
+                        raise ConfigError("One of the names in your external-genomes.txt file contains spaces. "
+                                          "The EcoPhylo workflow will have a hard time with this, please "
+                                          "only use underscores in your genome names.")
+                    else:
+                        continue
+                self.external_genomes_path_list = self.external_genomes_df.contigs_db_path.to_list()
+                self.external_genomes_dirname_list = [os.path.dirname(x) for x in self.external_genomes_path_list]
+                self.contigsDB_name_path_dict.update(dict(zip(self.external_genomes_names_list, self.external_genomes_path_list)))
+                if 'bam' in self.external_genomes_df.columns:
+                    self.contigsDB_name_bam_dict.update(dict(zip(self.external_genomes_df.name, self.external_genomes_df.bam)))
+                self.names_list.extend(self.external_genomes_names_list)
+
+            except IndexError as e:
+                raise ConfigError("The external-genomes.txt file, '%s', does not appear to be properly formatted. "
+                                  "This is the error from trying to load it: '%s'" % (self.external_genomes_df, e))
+        else:
+            self.external_genomes_names_list = []
+
+
+        # Concatenate metagenomes.txt and external-genomes.txt
+        contigsDB_name_path_list = list(self.contigsDB_name_path_dict.items())
+        contigsDB_name_path_df = pd.DataFrame(contigsDB_name_path_list, columns=['name', 'contigs_db_path'])
+        combined_genomes_df_path = "combined_genomes.txt"
+        
+        contigsDB_name_path_df.to_csv(combined_genomes_df_path, \
+                                      sep="\t", \
+                                      index=False, \
+                                      header=True)
+
+        # Make variables that tells whether we have metagenomes.txt, external-genomes.txt, or both
+        if self.metagenomes and not self.external_genomes:
+            self.mode = 'metagenomes'
+        if not self.metagenomes and self.external_genomes:
+            self.mode = 'external_genomes'
+        if self.metagenomes and self.external_genomes:
+            self.mode = 'both'
+
+        # Load HMM list
+        self.hmm_list_path = self.get_param_value_from_config(['hmm_list'])
+        if self.hmm_list_path: 
+            filesnpaths.is_file_exists(self.hmm_list_path)
+            try:
+                HMM_df = pd.read_csv(self.hmm_list_path, sep='\t', index_col=False)
+                self.HMM_source_dict = dict(zip(HMM_df.name, HMM_df.source))
+                self.HMM_path_dict = dict(zip(HMM_df.name, HMM_df.path))
+
+            except AttributeError as e:
+                raise ConfigError("The hmm_list.txt file, '%s', does not appear to be properly formatted. "
+                                  "This is the error from trying to load it: %s" % (self.hmm_list_path, e))
+
+            if any("-" in s for s in self.HMM_source_dict.keys()):
+                raise ConfigError(f"Please do not use "-" in your external HMM names in: "
+                                  f"{self.hmm_list_path}. It will make our lives "
+                                  f"easier with Snakemake wildcards :)")
+
+        # FIXME: this line prints the list of HMM_sources to stdout and I don't want that
+        self.internal_HMM_sources = list(anvio.data.hmm.sources.keys())
+
+        for HMM, HMM_path in self.HMM_source_dict.items():
+            if HMM_path == "INTERNAL":
+                if self.HMM_source_dict[HMM] not in self.internal_HMM_sources:
+                    HMM_source = self.HMM_source_dict[HMM]
+                    raise ConfigError(f"{HMM_source} is not an 'INTERNAL' HMM source for anvi'o. "
+                                      f"Please double check {self.hmm_list_path} to see if you spelled it right or "
+                                      f"please checkout the default internal HMMs here: https://merenlab.org/software/anvio/help/7/artifacts/hmm-source/#default-hmm-sources")
+
+        # Load samples.txt
+        self.samples_txt_file = self.get_param_value_from_config(['samples_txt'])
+        if self.samples_txt_file:
+            filesnpaths.is_file_tab_delimited(self.samples_txt_file)
+
+            try:
+                # getting the samples information (names, [group], path to r1, path to r2) from samples.txt
+                self.samples_information = pd.read_csv(self.samples_txt_file, sep='\t', index_col=False)
+            except IndexError as e:
+                raise ConfigError("Looks like your samples_txt file, '%s', is not properly formatted. "
+                                "This is what we know: '%s'" % (self.samples_txt_file, e))
+            if 'sample' not in list(self.samples_information.columns):
+                raise ConfigError("Looks like your samples_txt file, '%s', is not properly formatted. "
+                                "We are not sure what's wrong, but we can't find a column with title 'sample'." % self.samples_txt_file)
+
+            self.sample_names_for_mapping_list = self.samples_information['sample'].to_list()
+        else:
+            self.run.warning(f"Since you did not provide a samples.txt, EcoPhylo will assume you do not want "
+                             f"to profile the ecology and will just be making trees for now!")
+        
+        # Pick which tree algorithm
+        self.run_iqtree = self.get_param_value_from_config(['iqtree', 'run'])
+        self.run_fasttree = self.get_param_value_from_config(['fasttree', 'run'])
+
+        if not self.run_iqtree and not self.run_fasttree:
+            raise ConfigError("Please choose either iqtree or fasttree in your config file to run your phylogenetic tree.")
+
+        # Decide to clusterize metagenomic workflow
+        self.clusterize_metagenomics_workflow = self.get_param_value_from_config(['run_metagenomics_workflow', 'clusterize'])
+        self.metagenomics_workflow_HPC_string = self.get_param_value_from_config(['run_metagenomics_workflow', 'cluster_submission_params'])
+
+        # Pick clustering method
+        self.cluster_representative_method = self.get_param_value_from_config(['cluster_representative_method', 'method'])
+
+        if self.cluster_representative_method not in ['mmseqs', 'cluster_rep_with_coverages']:
+            raise ConfigError(f"anvi'o has never heard of this method to pick a cluster representative: {self.cluster_representative_method} "
+                              f"Please check your config file {self.config_file} and change cluster_representative_method to one of the following: 'mmseqs' and 'cluster_rep_with_coverages'")
+
+        if self.cluster_representative_method == 'cluster_rep_with_coverages' and len(self.contigsDB_name_bam_dict) == 0:
+            raise ConfigError(f"The EcoPhylo workflow can't use the cluster representative method cluster_rep_with_coverages without BAM files..."
+                              f"Please edit your metagenomes.txt or external-genomes.txt and add BAM files.")
+
+        self.target_files = self.get_target_files()
+
+    def get_target_files(self):
+        target_files = []
+
+        for HMM in self.HMM_source_dict.keys():
+
+            if not self.samples_txt_file:
+                # Just making trees
+                target_file = os.path.join(self.dirs_dict['TREES'], f"{HMM}", f"{HMM}_renamed.nwk")
+                target_files.append(target_file)
+                
+                target_file = os.path.join(self.dirs_dict['RIBOSOMAL_PROTEIN_MSA_STATS'], f"{HMM}", f"{HMM}_stats.tsv")
+                target_files.append(target_file)
+                
+                target_file = os.path.join("ECOPHYLO_WORKFLOW", f"{HMM}_anvi_estimate_scg_taxonomy_for_SCGs.done")
+                target_files.append(target_file)
+
+                target_file = os.path.join("ECOPHYLO_WORKFLOW", f"{HMM}_state_imported.done")
+                target_files.append(target_file)
+            
+            else:
+                # Making trees AND profiling SCGs
+                target_file = os.path.join("ECOPHYLO_WORKFLOW", f"{HMM}_state_imported.done")
+                target_files.append(target_file)
+
+                target_file = os.path.join(self.dirs_dict['TREES'], f"{HMM}", f"{HMM}_renamed.nwk")
+                target_files.append(target_file)
+                
+                target_file = os.path.join("ECOPHYLO_WORKFLOW", f"{HMM}_anvi_estimate_scg_taxonomy_for_SCGs.done")
+                target_files.append(target_file)
+
+                target_file = os.path.join(self.dirs_dict['RIBOSOMAL_PROTEIN_MSA_STATS'], f"{HMM}", f"{HMM}_stats.tsv")
+                target_files.append(target_file)
+        
+        return target_files
\ No newline at end of file

From 34e3ab44fd2adcfb934c736d9fe127bf414f10a6 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:32:04 +0000
Subject: [PATCH 0605/1020] Revert "Merge branch 'master' of
 https://github.com/merenlab/anvio"

This reverts commit f4fe3eb1e074c55eb1167bd06919e3b4364f6acd, reversing
changes made to 41fbe99c6a454e82f4cc32087d2e988d602a3701.
---
 anvio/__init__.py                             |   4 +-
 .../docs/programs/anvi-estimate-metabolism.md |   6 +-
 anvio/kegg.py                                 | 333 ++++++++++++++++--
 .../run_component_tests_for_metabolism.sh     | 180 ++++++++++
 bin/anvi-estimate-metabolism                  |   4 +-
 sandbox/anvi-script-reformat-fasta            |  16 +-
 6 files changed, 506 insertions(+), 37 deletions(-)
 create mode 100755 anvio/tests/run_component_tests_for_metabolism.sh

diff --git a/anvio/__init__.py b/anvio/__init__.py
index 37799904bb..31d0f89712 100644
--- a/anvio/__init__.py
+++ b/anvio/__init__.py
@@ -2750,8 +2750,8 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "(such as a file produced using the --get-raw-data-as-json flag), you can provide that file to this flag "
                      "and KEGG metabolism estimates will be computed from the information within instead of from a contigs database."}
                 ),
-    'kegg-output-modes': (
-            ['--kegg-output-modes'],
+    'output-modes': (
+            ['--output-modes'],
             {'default': None,
              'metavar': 'MODES',
              'type': str,
diff --git a/anvio/docs/programs/anvi-estimate-metabolism.md b/anvio/docs/programs/anvi-estimate-metabolism.md
index a5fe0b1a92..d2e6fa2b24 100644
--- a/anvio/docs/programs/anvi-estimate-metabolism.md
+++ b/anvio/docs/programs/anvi-estimate-metabolism.md
@@ -77,7 +77,7 @@ anvi-estimate-metabolism -c %(contigs-db)s --metagenome-mode
 {{ codestop }}
 
 {: .notice}
-In metagenome mode, this program will estimate metabolism for each contig in the metagenome separately. This will tend to underestimate module completeness because it is likely that many modules will be broken up across multiple contigs belonging to the same population. If you prefer to instead treat all KOs in the metagenome as belonging to one collective genome, you can do so by simply leaving out the `--metagenome-mode` flag (to effectively pretend that you are doing estimation for a single genome, although in your heart you will know that your contigs database really contains a metagenome). Please note that this will result in the opposite tendency to overestimate module completeness (as the KOs will in reality be coming from multiple different populations), and there will be a lot of redundancy. We are working on improving our estimation algorithm for metagenome mode. In the meantime, if you are worried about the misleading results from either of these situations, we suggest binning your metagenomes first and running estimation for the bins as described below.
+In metagenome mode, this program will estimate metabolism for each contig in the metagenome separately. This will tend to underestimate module completeness because it is likely that many modules will be broken up across multiple contigs belonging to the same population. If you prefer to instead treat all enzyme annotations in the metagenome as belonging to one collective genome, you can do so by simply leaving out the `--metagenome-mode` flag (to effectively pretend that you are doing estimation for a single genome, although in your heart you will know that your contigs database really contains a metagenome). Please note that this will result in the opposite tendency to overestimate module completeness (as the enzymes will in reality be coming from multiple different populations), and there will be a lot of redundancy. We are working on improving our estimation algorithm for metagenome mode. In the meantime, if you are worried about the misleading results from either of these situations, we suggest binning your metagenomes first and running estimation for the bins as described below.
 
 ## MULTI-MODE: Running metabolism estimation on multiple contigs databases
 
@@ -254,9 +254,9 @@ If you have a profile database associated with your contigs database and you wou
 anvi-estimate-metabolism -c %(contigs-db)s -p %(profile-db)s --kegg-output-modes modules,kofam_hits_in_modules,kofam_hits --add-coverage
 {{ codestop }}
 
-For `kofam_hits_in_modules` and `kofam_hits` mode output files, in which each row describes one KOfam hit to a gene in the contigs database, the output will contain two additional columns per sample in the profile database. One column will contain the mean coverage of that particular gene call by reads from that sample and the other will contain the detection of that gene in the sample.
+For `hits_in_modules` and `hits` mode output files, in which each row describes one enzyme annotation for a gene in the contigs database, the output will contain two additional columns per sample in the profile database. One column will contain the mean coverage of that particular gene call by reads from that sample and the other will contain the detection of that gene in the sample.
 
-For `modules` mode output files, in which each row describes a KEGG module, the output will contain _four_ additional columns per sample in the profile database. One column will contain comma-separated mean coverage values for each gene call in the module, in the same order as the corresponding gene calls in the `gene_caller_ids_in_module` column. Another column will contain the average of these gene coverage values, which represents the average coverage of the entire module. Likewise, the third and fourth columns will contain comma-separated detection values for each gene call and the average detection, respectively.
+For `modules` mode output files, in which each row describes a metabolic module, the output will contain _four_ additional columns per sample in the profile database. One column will contain comma-separated mean coverage values for each gene call in the module, in the same order as the corresponding gene calls in the `gene_caller_ids_in_module` column. Another column will contain the average of these gene coverage values, which represents the average coverage of the entire module. Likewise, the third and fourth columns will contain comma-separated detection values for each gene call and the average detection, respectively.
 
 Note that you can customize which coverage/detection columns are in the output files if you use `custom` modules mode. Use the following command to find out which coverage/detection headers are available:
 
diff --git a/anvio/kegg.py b/anvio/kegg.py
index 26455166e2..a81941171f 100644
--- a/anvio/kegg.py
+++ b/anvio/kegg.py
@@ -1525,7 +1525,7 @@ class is nothing but one that iterates through all contigs DBs
         self.json_output_file_path = A('get_raw_data_as_json')
         self.store_json_without_estimation = True if A('store_json_without_estimation') else False
         self.estimate_from_json = A('estimate_from_json') or None
-        self.output_modes = A('kegg_output_modes') or A('output_modes') or "modules"
+        self.output_modes = A('output_modes') or "modules"
         self.custom_output_headers = A('custom_output_headers') or None
         self.matrix_format = True if A('matrix_format') else False
         self.matrix_include_metadata = True if A('include_metadata') else False
@@ -1595,6 +1595,212 @@ def setup_output_for_appending(self):
         return output_dict
 
 
+    def init_data_from_modules_db(self):
+        """This function reads mucho data from the modules database(s) into dictionaries for later access.
+
+        It generates the self.all_modules_in_db dictionary, which contains all data for all modules
+        in the db, keyed by module number.
+        It also generates the self.all_kos_in_db dictionary, which maps each enzyme in the db to its list of modules.
+        Note that self.all_kos_in_db can contain module numbers, in cases when the module is a component of another module.
+        It also generates the self.module_paths_dict dictionary by calling the appropriate function.
+
+        We do this once at the start so as to reduce the number of on-the-fly database queries
+        that have to happen during the estimation process.
+        """
+
+        self.all_modules_in_db = {}
+        self.all_kos_in_db = {}
+        self.module_paths_dict = {}
+
+        # LOAD KEGG DATA (MODULES)
+        if not self.only_user_modules:
+            self.kegg_modules_db = ModulesDatabase(self.kegg_modules_db_path, args=self.args, run=run_quiet, quiet=self.quiet)
+            self.all_modules_in_db = self.kegg_modules_db.get_modules_table_as_dict()
+            # mark that these modules all came from KEGG
+            for mod in self.all_modules_in_db:
+                self.all_modules_in_db[mod]['MODULES_DB_SOURCE'] = "KEGG"
+
+                # add compound lists into self.all_modules_in_db
+                module_substrate_list, module_intermediate_list, module_product_list = self.kegg_modules_db.get_human_readable_compound_lists_for_module(mod)
+                self.all_modules_in_db[mod]['substrate_list'] = module_substrate_list
+                self.all_modules_in_db[mod]['intermediate_list'] = module_intermediate_list
+                self.all_modules_in_db[mod]['product_list'] = module_product_list
+
+                # initialize module paths into self.module_paths_dict
+                self.module_paths_dict[mod] = self.init_paths_for_module(mod, mod_db=self.kegg_modules_db)
+
+            self.kegg_modules_db.disconnect()
+
+        # LOAD USER DATA (MODULES)
+        if self.user_input_dir:
+            self.user_modules_db = ModulesDatabase(self.user_modules_db_path, args=self.args, run=run_quiet, quiet=self.quiet)
+            user_db_mods = self.user_modules_db.get_modules_table_as_dict()
+
+            for mod in user_db_mods:
+                # user modules cannot have the same name as a KEGG module
+                if mod in self.all_modules_in_db:
+                    self.user_modules_db.disconnect()
+                    raise ConfigError(f"No. Nononono. Stop right there. You see, there is a module called {mod} in your user-defined "
+                                      f"modules database (at {self.user_modules_db_path}) which has the same name as an existing KEGG "
+                                      f"module. This is not allowed, for reasons. Please name that module differently. Append an "
+                                      f"underscore and your best friend's name to it or something. Just make sure it's unique. OK? ok.")
+
+                self.all_modules_in_db[mod] = user_db_mods[mod]
+                # mark that this module came from the USER. it may be useful to know later.
+                self.all_modules_in_db[mod]['MODULES_DB_SOURCE'] = "USER"
+
+                # add compound lists into self.all_modules_in_db
+                module_substrate_list, module_intermediate_list, module_product_list = self.user_modules_db.get_human_readable_compound_lists_for_module(mod)
+                self.all_modules_in_db[mod]['substrate_list'] = module_substrate_list
+                self.all_modules_in_db[mod]['intermediate_list'] = module_intermediate_list
+                self.all_modules_in_db[mod]['product_list'] = module_product_list
+
+                # initialize module paths into self.module_paths_dict
+                self.module_paths_dict[mod] = self.init_paths_for_module(mod, mod_db=self.user_modules_db)
+
+            self.user_modules_db.disconnect()
+
+        # INIT ENZYMES
+        for mod in self.all_modules_in_db:
+            orthology = self.all_modules_in_db[mod]['ORTHOLOGY']
+            if isinstance(orthology, str):
+                ko_list = [orthology]
+            else:
+                ko_list = list(orthology.keys())
+            for k in ko_list:
+                if k not in self.all_kos_in_db:
+                    src = self.all_modules_in_db[mod]['ANNOTATION_SOURCE'][k] if 'ANNOTATION_SOURCE' in self.all_modules_in_db[mod] else 'KOfam'
+                    self.all_kos_in_db[k] = {'modules': [], 'annotation_source': src}
+                self.all_kos_in_db[k]['modules'].append(mod)
+
+
+    def init_paths_for_module(self, mnum, mod_db=None):
+        """This function unrolls the module DEFINITION for the module provided and returns a list of all paths through it.
+
+        It unrolls the module definition into a list of all possible paths, where each path is a list of atomic steps.
+        Atomic steps include singular KOs, protein complexes, modules, non-essential steps, and steps without associated KOs.
+
+        PARAMETERS
+        ==========
+        mnum : str
+            The module to return paths for. Must be a key in the self.all_modules_in_db dictionary.
+        mod_db : ModulesDatabase
+            This must be a ModulesDatabase instance that we are connected to (ie, disconnect() has not yet been run on it)
+            so that we can use its functions and access its data
+
+        RETURNS
+        ==========
+        A list of all paths through the module
+        """
+
+        if not mod_db:
+            raise ConfigError("Put yer hands in the air! You've tried to call init_paths_for_modules() without providing "
+                              "a database to the mod_db parameter, and this is ILLEGAL.")
+
+        if mnum not in self.all_modules_in_db:
+            raise ConfigError(f"Something is wrong here. The function init_paths_for_modules() is trying to work on module "
+                              f"{mnum}, but it is not a key in the self.all_modules_in_db dictionary.")
+        module_definition = self.all_modules_in_db[mnum]["DEFINITION"]
+        # the below function expects a list
+        if not isinstance(module_definition, list):
+            module_definition = [module_definition]
+
+        return mod_db.unroll_module_definition(mnum, def_lines=module_definition)
+
+
+    def get_enzymes_from_module_definition_in_order(self, mod_definition):
+        """Given a module DEFINITION string, this function parses out the enzyme accessions in order of appearance.
+
+        PARAMETERS
+        ==========
+        mod_definition : a string or list of strings containing the module DEFINITION lines
+
+        RETURNS
+        ==========
+
+        """
+
+        if isinstance(mod_definition, list):
+            mod_definition = " ".join(mod_definition)
+
+        # anything that is not (),-+ should be converted to spaces, then we can split on the spaces to get the accessions
+        mod_definition = re.sub('[\(\)\+\-,]', ' ', mod_definition).strip()
+        acc_list = re.split(r'\s+', mod_definition)
+        # remove anything that is not an enzyme and sanity check for weird characters
+        mods_to_remove = set()
+        for a in acc_list:
+            if a in self.all_modules_in_db:
+                mods_to_remove.add(a)
+            if re.match('[^a-zA-Z0-9_\.]', a):
+                raise ConfigError(f"The get_enzymes_from_module_definition_in_order() function found an enzyme accession that looks a bit funny. "
+                                  f"Possibly this is a failure of our parsing strategy, or maybe the enzyme accession just has unexpected characters "
+                                  f"in it. We don't know what module it is, but the weird enzyme is {a}. If you think that accession looks perfectly "
+                                  f"fine, you should reach out to the developers and have them fix this function to accomodate the accession. Or, you "
+                                  f"could just rename the enzyme?")
+        if mods_to_remove:
+            for m in mods_to_remove:
+                acc_list.remove(m)
+
+        return acc_list
+
+
+    def get_module_metadata_dictionary(self, mnum):
+        """Returns a dictionary of metadata for the given module.
+
+        The dictionary must include all the metadata from MODULE_METADATA_HEADERS,
+        using those headers as keys.
+
+        Requires self.all_modules_in_db attribute to exist - subclasses will have to call init_data_from_modules_db()
+        before this function.
+        """
+
+        if not self.all_modules_in_db:
+            raise ConfigError("The function get_module_metadata_dictionary() requires the self.all_modules_in_db attribute to "
+                              "be initialized. You need to make sure init_data_from_modules_db() is called before this function. ")
+
+        class_data_val = self.all_modules_in_db[mnum]['CLASS']
+        fields = class_data_val.split("; ")
+        mnum_class_dict = {"class" : fields[0], "category" : fields[1], "subcategory" : fields[2] if len(fields) > 2 else None}
+
+        metadata_dict = {}
+        metadata_dict["module_name"] = self.all_modules_in_db[mnum]['NAME']
+        metadata_dict["module_class"] = mnum_class_dict["class"]
+        metadata_dict["module_category"] = mnum_class_dict["category"]
+        metadata_dict["module_subcategory"] = mnum_class_dict["subcategory"]
+        return metadata_dict
+
+
+    def get_ko_metadata_dictionary(self, knum):
+        """Returns a dictionary of metadata for the given KO.
+
+        The dictionary must include all the metadata from KO_METADATA_HEADERS,
+        using those headers as keys.
+
+        Requires self.all_kos_in_db attribute to exist - subclasses will have to call init_data_from_modules_db()
+        before this function.
+        """
+
+        if not self.all_kos_in_db:
+            raise ConfigError("The function get_ko_metadata_dictionary() requires the self.all_kos_in_db attribute to "
+                              "be initialized. You need to make sure init_data_from_modules_db() is called before this function. ")
+
+        mod_list = self.all_kos_in_db[knum]['modules'] if knum in self.all_kos_in_db else None
+        if mod_list:
+            mod_list_str = ",".join(mod_list)
+        else:
+            mod_list_str = "None"
+
+        if knum not in self.ko_dict:
+            raise ConfigError("Something is mysteriously wrong. You are seeking metadata "
+                              f"for enzyme {knum} but this enzyme is not in "
+                              "the enzyme dictionary (self.ko_dict). This should never have happened.")
+
+        metadata_dict = {}
+        metadata_dict["enzyme_definition"] = self.ko_dict[knum]['definition']
+        metadata_dict["modules_with_enzyme"] = mod_list_str
+        return metadata_dict
+
+
 class KeggMetabolismEstimator(KeggContext, KeggEstimatorArgs):
     """ Class for reconstructing/estimating metabolism for a SINGLE contigs DB based on hits to KEGG databases.
 
@@ -1644,11 +1850,14 @@ def __init__(self, args, run=run, progress=progress):
                                         'description': "Name of genome/bin/metagenome in which we find KOfam hits and/or KEGG modules"
                                         }
 
-        # input options sanity checks
+        # INPUT OPTIONS SANITY CHECKS
         if not self.estimate_from_json and not self.contigs_db_path:
             raise ConfigError("NO INPUT PROVIDED. You must provide (at least) a contigs database or genomes file to this program, unless you are using the --estimate-from-json "
                               "flag, in which case you must provide a JSON-formatted file.")
 
+        if self.only_user_modules and not self.user_input_dir:
+            raise ConfigError("You can only use the flag --only-user-modules if you provide a --user-modules directory.")
+
         self.bin_ids_to_process = None
         if self.bin_id and self.bin_ids_file:
             raise ConfigError("You have provided anvi'o with both the individual bin id %s and a file with bin ids (%s). "
@@ -1735,10 +1944,7 @@ def __init__(self, args, run=run, progress=progress):
                              "of the single contigs database that you have provided. We are very sorry for any inconvenience.")
 
 
-        # init the base class
-        KeggContext.__init__(self, self.args)
-
-        # let user know what they told anvi'o to work
+        # let user know what they told anvi'o to work on
         self.run.info("Contigs DB", self.contigs_db_path, quiet=self.quiet)
         self.run.info("Profile DB", self.profile_db_path, quiet=self.quiet)
         self.run.info('Metagenome mode', self.metagenome_mode)
@@ -1749,8 +1955,6 @@ def __init__(self, args, run=run, progress=progress):
         elif self.bin_ids_file:
             self.run.info('Bin IDs file', self.bin_ids_file)
 
-        # init the KO dictionary
-        self.setup_ko_dict()
 
         if not self.estimate_from_json:
             utils.is_contigs_db(self.contigs_db_path)
@@ -1770,22 +1974,87 @@ def __init__(self, args, run=run, progress=progress):
             contigs_db = ContigsDatabase(self.contigs_db_path, run=self.run, progress=self.progress)
             self.contigs_db_project_name = contigs_db.meta['project_name']
 
-            # sanity check that contigs db was annotated with same version of MODULES.db that will be used for metabolism estimation
-            if 'modules_db_hash' not in contigs_db.meta:
-                raise ConfigError("Based on the contigs DB metadata, the contigs DB that you are working with has not been annotated with hits to the "
-                                  "KOfam database, so there are no KOs to estimate metabolism from. Please run `anvi-run-kegg-kofams` on this contigs DB "
-                                  "before you attempt to run this script again.")
-            contigs_db_mod_hash = contigs_db.meta['modules_db_hash']
-            mod_db_hash = kegg_modules_db.db.get_meta_value('hash')
-            if contigs_db_mod_hash != mod_db_hash:
-                raise ConfigError("The contigs DB that you are working with has been annotated with a different version of the MODULES.db than you are working with now. "
-                                  "Perhaps you updated your KEGG setup after running `anvi-run-kegg-kofams` on this contigs DB? Or maybe you have multiple KEGG data "
-                                  "directories set up on your computer, and the one you are using now is different from the one that you used for `anvi-run-kegg-kofams`? "
-                                  "Well. The solution to the first problem is to re-run `anvi-run-kegg-kofams` on the contigs DB (%s) using the updated MODULES.db "
-                                  "(located in the KEGG data directory %s). The solution to the second problem is to specify the appropriate KEGG data directory using "
-                                  "the --kegg-data-dir flag. If neither of those things make this work, then you should contact the developers to see if they can help you "
-                                  "figure this out. For those who need this information, the Modules DB used to annotate this contigs database previously had the "
-                                  "following hash: %s. And the hash of the current Modules DB is: %s" % (self.contigs_db_path, self.kegg_data_dir, contigs_db_mod_hash, mod_db_hash))
+
+        # LOAD KEGG DATA
+        if not self.only_user_modules:
+            # citation output for KEGG data
+            if not self.quiet:
+                self.run.warning("Anvi'o will reconstruct metabolism for modules in the KEGG MODULE database, as described in "
+                                 "Kanehisa and Goto et al (doi:10.1093/nar/gkr988). When you publish your findings, "
+                                 "please do not forget to properly credit this work.", lc='green', header="CITATION")
+
+            # init the enzyme accession to function definition dictionary
+            # (henceforth referred to as the KO dict, even though it doesn't only contain KOs for user data)
+            self.setup_ko_dict()
+            annotation_source_set = set(['KOfam'])
+
+            # check for kegg modules db
+            if not os.path.exists(self.kegg_modules_db_path):
+                raise ConfigError(f"It appears that a KEGG modules database ({self.kegg_modules_db_path}) does not exist in the provided data directory. "
+                                  f"Perhaps you need to specify a different data directory using --kegg-data-dir. Or perhaps you didn't run "
+                                  f"`anvi-setup-kegg-kofams`, though we are not sure how you got to this point in that case."
+                                  f"But fine. Hopefully you now know what you need to do to make this message go away.")
+
+            if not self.estimate_from_json:
+                # sanity check that contigs db was annotated with same version of MODULES.db that will be used for metabolism estimation
+                if 'modules_db_hash' not in contigs_db.meta:
+                    raise ConfigError("Based on the contigs DB metadata, the contigs DB that you are working with has not been annotated with hits to the "
+                                      "KOfam database, so there are no KOs to estimate metabolism from. Please run `anvi-run-kegg-kofams` on this contigs DB "
+                                      "before you attempt to run this script again.")
+                contigs_db_mod_hash = contigs_db.meta['modules_db_hash']
+
+                kegg_modules_db = ModulesDatabase(self.kegg_modules_db_path, args=self.args, quiet=self.quiet)
+                mod_db_hash = kegg_modules_db.db.get_meta_value('hash')
+                kegg_modules_db.disconnect()
+
+                if contigs_db_mod_hash != mod_db_hash:
+                    raise ConfigError("The contigs DB that you are working with has been annotated with a different version of the MODULES.db than you are working with now. "
+                                      "Perhaps you updated your KEGG setup after running `anvi-run-kegg-kofams` on this contigs DB? Or maybe you have multiple KEGG data "
+                                      "directories set up on your computer, and the one you are using now is different from the one that you used for `anvi-run-kegg-kofams`? "
+                                      "Well. The solution to the first problem is to re-run `anvi-run-kegg-kofams` on the contigs DB (%s) using the updated MODULES.db "
+                                      "(located in the KEGG data directory %s). The solution to the second problem is to specify the appropriate KEGG data directory using "
+                                      "the --kegg-data-dir flag. If neither of those things make this work, then you should contact the developers to see if they can help you "
+                                      "figure this out. For those who need this information, the Modules DB used to annotate this contigs database previously had the "
+                                      "following hash: %s. And the hash of the current Modules DB is: %s" % (self.contigs_db_path, self.kegg_data_dir, contigs_db_mod_hash, mod_db_hash))
+        else: # USER data only
+            annotation_source_set = set([])
+            self.kegg_modules_db_path = None # we nullify this just in case
+
+
+        # LOAD USER DATA
+        if not self.estimate_from_json:
+            if self.user_input_dir:
+                # check for user modules db
+                if not os.path.exists(self.user_modules_db_path):
+                    raise ConfigError(f"It appears that a USER-DEFINED modules database ({self.user_modules_db_path}) does not exist in the provided data directory. "
+                                      f"Perhaps you need to specify a different data directory using --user-modules. Or perhaps you didn't run "
+                                      f"`anvi-setup-user-modules`. Either way, you're still awesome. Have a great day ;)")
+
+                # sanity check that contigs db contains all necessary functional sources for user data
+                user_modules_db = ModulesDatabase(self.user_modules_db_path, args=self.args, quiet=self.quiet)
+                modules_db_sources = set(user_modules_db.db.get_meta_value('annotation_sources').split(','))
+
+                contigs_db_sources = set(contigs_db.meta['gene_function_sources'])
+                source_in_modules_not_contigs = modules_db_sources.difference(contigs_db_sources)
+
+                if source_in_modules_not_contigs:
+                    missing_sources = ", ".join(source_in_modules_not_contigs)
+                    raise ConfigError(f"Your contigs database is missing one or more functional annotation sources that are "
+                                      f"required for the modules in the database at {self.user_modules_db_path}. You will have to "
+                                      f"annotate the contigs DB with these sources (or import them using `anvi-import-functions`) "
+                                      f"before running this program again. Here are the missing sources: {missing_sources}")
+
+                # expand annotation source set to include those in user db
+                annotation_source_set.update(modules_db_sources)
+
+                # we now have to add any enzymes from the user's modules db to the ko dict
+                user_kos = user_modules_db.get_ko_function_dict()
+                for k in user_kos:
+                    if k not in self.ko_dict:
+                        self.ko_dict[k] = user_kos[k]
+                user_modules_db.disconnect()
+
+        if not self.estimate_from_json:
             contigs_db.disconnect()
         kegg_modules_db.disconnect()
 
@@ -2106,8 +2375,14 @@ def mark_kos_present_for_list_of_splits(self, kofam_hits_in_splits, split_list=N
                                            "warnings" : []
                                           }
         for knum in all_kos:
-            if knum not in self.ko_dict:
-                mods_it_is_in = self.all_kos_in_db[knum]
+            """
+            We can only add warnings about missing KOfam profiles because for other annotation sources, we don't
+            have a way to know if profiles are missing. But for KOfams with missing profiles, this step is necessary
+            so that we don't add the enzyme to the bin_level_ko_dict, because later this will cause problems since
+            the enzyme is not in self.ko_dict
+            """
+            if self.all_kos_in_db[knum]['annotation_source'] == 'KOfam' and knum not in self.ko_dict:
+                mods_it_is_in = self.all_kos_in_db[knum]['modules']
                 if mods_it_is_in:
                     if anvio.DEBUG:
                         mods_str = ", ".join(mods_it_is_in)
@@ -2928,13 +3203,15 @@ def estimate_metabolism(self, skip_storing_data=False, output_files_dictionary=N
                 self.output_file_dict = self.setup_output_for_appending()
 
         if self.estimate_from_json:
-            kegg_metabolism_superdict = self.estimate_metabolism_from_json_data()
+            kegg_metabolism_superdict = self.estimate_metabolism_from_json_data() ## TODO: fix this for user data
         else:
             self.init_data_from_modules_db()
 
             kofam_hits_info = self.init_hits_and_splits()
             self.init_paths_for_modules()
 
+            kofam_hits_info = self.init_hits_and_splits(annotation_sources=self.annotation_sources_to_use)
+
             if self.add_coverage:
                 self.init_gene_coverage(gcids_for_kofam_hits={int(tpl[1]) for tpl in kofam_hits_info})
 
@@ -3855,7 +4132,7 @@ def write_stat_to_matrix(self, stat_name, stat_header, stat_key, stat_dict, item
                 if self.matrix_include_metadata:
                     if stat_header == 'module':
                         metadata_dict = self.get_module_metadata_dictionary(m)
-                    elif stat_header == 'KO':
+                    elif stat_header == 'enzyme':
                         metadata_dict = self.get_ko_metadata_dictionary(m)
                     else:
                         raise ConfigError(f"write_stat_to_matrix() speaking. I need to access metadata for {stat_header} "
diff --git a/anvio/tests/run_component_tests_for_metabolism.sh b/anvio/tests/run_component_tests_for_metabolism.sh
new file mode 100755
index 0000000000..ea0d39416d
--- /dev/null
+++ b/anvio/tests/run_component_tests_for_metabolism.sh
@@ -0,0 +1,180 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+INFO "Setting up the metabolism test directory"
+mkdir $output_dir/metabolism_test
+cp $files/data/genomes/bacteria/*.db                    $output_dir/metabolism_test
+cp $files/data/genomes/archaea/*.db                     $output_dir/metabolism_test
+cp $files/data/metagenomes/human_gut/IGD_SUBSET/*.db    $output_dir/metabolism_test
+cp $files/data/input_files/*.txt                        $output_dir/metabolism_test
+cd $output_dir/metabolism_test
+
+INFO "Migrating all databases"
+anvi-migrate *db --migrate-dbs-quickly
+
+
+INFO "Estimating metabolism on a single contigs database"
+anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db \
+                         -O single_contigs_db
+SHOW_FILE single_contigs_db_modules.txt
+
+INFO "Estimating metabolism using metagenome mode"
+anvi-estimate-metabolism -c CONTIGS.db \
+                         --metagenome-mode \
+                         -O metagenome_mode
+SHOW_FILE metagenome_mode_modules.txt
+
+INFO "Estimating metabolism on a collection"
+anvi-estimate-metabolism -c CONTIGS.db \
+                         -p PROFILE.db \
+                         -C bins_for_testing \
+                         -O collection
+SHOW_FILE collection_modules.txt
+
+INFO "Estimating metabolism on a single bin in a collection"
+anvi-estimate-metabolism -c CONTIGS.db \
+                         -p PROFILE.db \
+                         -C bins_for_testing \
+                         -b E_facealis \
+                         -O single_bin
+SHOW_FILE single_bin_modules.txt
+
+INFO "Estimating metabolism using a bin IDs file"
+anvi-estimate-metabolism -c CONTIGS.db \
+                         -p PROFILE.db \
+                         -C bins_for_testing \
+                         -B bin-ids.txt \
+                         -O bin_ids_file
+SHOW_FILE bin_ids_file_modules.txt
+
+INFO "Estimating metabolism on external genomes"
+anvi-estimate-metabolism -e external-genomes.txt \
+                         -O external
+SHOW_FILE external_modules.txt
+
+INFO "Estimating metabolism on internal genomes"
+anvi-estimate-metabolism -i internal-genomes.txt \
+                         -O internal
+SHOW_FILE internal_modules.txt
+
+INFO "Estimating metabolism on metagenomes file"
+anvi-estimate-metabolism -M metagenomes.txt \
+                         -O metagenomes
+SHOW_FILE metagenomes_modules.txt
+
+INFO "Trying a different module completeness threshold"
+anvi-estimate-metabolism -c P_marinus_CCMP1375.db \
+                         --module-completion-threshold 0 \
+                         -O nondefault_threshold
+SHOW_FILE nondefault_threshold_modules.txt
+
+INFO "Listing output modes for single database"
+anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db \
+                         --list-available-modes
+
+
+INFO "Listing output modes for multi mode"
+anvi-estimate-metabolism -e external-genomes.txt \
+                         --list-available-modes
+
+INFO "Listing custom output headers for single database"
+anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db \
+                         --list-available-output-headers
+
+INFO "Listing custom output headers for multi mode"
+anvi-estimate-metabolism -e external-genomes.txt \
+                         --list-available-output-headers
+
+INFO "Generating long format output files on single database"
+anvi-estimate-metabolism -c P_marinus_CCMP1375.db \
+                         --output-modes hits,modules,hits_in_modules,modules_custom \
+                         --custom-output-headers module,module_is_complete,module_name \
+                         -O long_format_single
+SHOW_FILE long_format_single_hits.txt
+SHOW_FILE long_format_single_modules.txt
+SHOW_FILE long_format_single_hits_in_modules.txt
+SHOW_FILE long_format_single_modules_custom.txt
+
+INFO "Generating long format output files in multi mode"
+anvi-estimate-metabolism -e external-genomes.txt \
+                         --output-modes hits,modules,hits_in_modules \
+                         -O long_format_multi
+SHOW_FILE long_format_multi_hits.txt
+SHOW_FILE long_format_multi_modules.txt
+SHOW_FILE long_format_multi_hits_in_modules.txt
+
+# below we try every single header for modules_custom mode
+INFO "Generating modules custom output file on single database"
+anvi-estimate-metabolism -c P_marinus_CCMP1375.db \
+                         --output-modes modules_custom \
+                         -O modules_custom_single \
+                         --custom-output-headers module,module_is_complete,module_completeness,module_name,module_class,module_category,module_subcategory,module_definition,gene_caller_ids_in_module,gene_caller_id,enzyme_hits_in_module,enzyme_hit,contig,path_id,path,path_completeness,genome_name,enzymes_unique_to_module,unique_enzymes_hit_counts,proportion_unique_enzymes_present,unique_enzymes_context_string,module_substrates,module_products,module_intermediates,warnings
+SHOW_FILE modules_custom_single_modules_custom.txt
+
+INFO "Generating modules custom output file in multi mode"
+anvi-estimate-metabolism -e external-genomes.txt \
+                         --output-modes modules_custom \
+                         -O modules_custom_multi \
+                         --custom-output-headers module,module_is_complete,module_completeness,module_name,module_class,module_category,module_subcategory,module_definition,gene_caller_ids_in_module,gene_caller_id,enzyme_hits_in_module,enzyme_hit,contig,path_id,path,path_completeness,genome_name,enzymes_unique_to_module,unique_enzymes_hit_counts,proportion_unique_enzymes_present,unique_enzymes_context_string,module_substrates,module_products,module_intermediates,warnings,db_name
+SHOW_FILE modules_custom_multi_modules_custom.txt
+
+INFO "Generating matrix output files in multi mode"
+anvi-estimate-metabolism -e external-genomes.txt \
+                         --matrix-format \
+                         -O matrix_format_multi
+SHOW_FILE matrix_format_multi-completeness-MATRIX.txt
+SHOW_FILE matrix_format_multi-presence-MATRIX.txt
+SHOW_FILE matrix_format_multi-enzyme_hits-MATRIX.txt
+
+INFO "Generating JSON output (debug option)"
+anvi-estimate-metabolism -c S_islandicus_LS215.db \
+                         --get-raw-data-as-json estimation_data \
+                         --store-json-without-estimation
+
+INFO "Estimating from JSON output (debug option)"
+anvi-estimate-metabolism --estimate-from-json estimation_data.json \
+                         -O from_json
+
+INFO "Testing --add-coverage for genome mode"
+anvi-estimate-metabolism -c CONTIGS.db \
+                         -p PROFILE.db \
+                         -O genome_coverage \
+                         --add-coverage \
+                         --output-modes modules,hits_in_modules
+SHOW_FILE genome_coverage_modules.txt
+SHOW_FILE genome_coverage_hits_in_modules.txt
+
+INFO "Testing --add-coverage flag for a collection"
+anvi-estimate-metabolism -c CONTIGS.db \
+                         -p PROFILE.db \
+                         -C bins_for_testing \
+                         -O collection_coverage \
+                         --add-coverage \
+                         --output-modes modules,hits_in_modules
+SHOW_FILE collection_coverage_modules.txt
+
+INFO "Testing --add-coverage for metagenome mode"
+anvi-estimate-metabolism -c CONTIGS.db \
+                         -p PROFILE.db \
+                         --metagenome-mode \
+                         -O metagenome_coverage \
+                         --add-coverage \
+                         --output-modes modules,hits_in_modules
+
+INFO "Listing custom output headers with --add-coverage enabled"
+anvi-estimate-metabolism -c CONTIGS.db \
+                         -p PROFILE.db \
+                         --add-coverage \
+                         --list-available-output-headers
+
+INFO "Generating custom output with --add-coverage enabled"
+anvi-estimate-metabolism -c CONTIGS.db \
+                         -p PROFILE.db \
+                         --add-coverage \
+                         --output-modes modules_custom \
+                         -O modules_custom_coverage \
+                         --custom-output-headers module,module_is_complete,DAY_15A_gene_coverages,DAY_15A_avg_coverage,DAY_15A_gene_detection,DAY_15A_avg_detection
diff --git a/bin/anvi-estimate-metabolism b/bin/anvi-estimate-metabolism
index c560910af1..e8c36ca296 100755
--- a/bin/anvi-estimate-metabolism
+++ b/bin/anvi-estimate-metabolism
@@ -15,8 +15,8 @@ __license__ = "GPL 3.0"
 __version__ = anvio.__version__
 __authors__ = ['ivagljiva']
 __requires__ = ["contigs-db", "kegg-data", "kegg-functions", "profile-db", "collection", "bin",
-                "external-genomes", "internal-genomes", "metagenomes"]
-__provides__ = ["kegg-metabolism",]
+                "external-genomes", "internal-genomes", "metagenomes", "user-modules-data"]
+__provides__ = ["kegg-metabolism","user-metabolism"]
 __description__ = "Reconstructs metabolic pathways and estimates pathway completeness for a given set of contigs"
 
 
diff --git a/sandbox/anvi-script-reformat-fasta b/sandbox/anvi-script-reformat-fasta
index 629205a7e3..2210c02dd4 100755
--- a/sandbox/anvi-script-reformat-fasta
+++ b/sandbox/anvi-script-reformat-fasta
@@ -34,6 +34,11 @@ def reformat_FASTA(args):
     if args.keep_ids and args.exclude_ids:
         raise ConfigError("You can't use`--exclude-ids and --keep-ids together :/")
 
+    if args.exact_length and args.min_len:
+        raise ConfigError(f"You can't ask your reads to be an exact lenght of {args.exact_length} "
+                          f"and longer than {args.min_len} at the same time. It just doesn't make "
+                          f"any sense and that's why.")
+
     filesnpaths.is_output_file_writable(args.output_file)
     filesnpaths.is_file_exists(args.contigs_fasta)
 
@@ -76,7 +81,10 @@ def reformat_FASTA(args):
 
     run.info('Input', args.contigs_fasta)
     run.info('Output', args.output_file)
-    run.info('Minimum length', args.min_len)
+    if args.exact_length:
+        run.info('Exact length', args.exact_length, mc="red")
+    else:
+        run.info('Minimum length', args.min_len)
     run.info('Max % gaps allowed', '%.2f%%' % args.max_percentage_gaps)
 
     total_num_nucleotides = 0
@@ -168,10 +176,14 @@ if __name__ == '__main__':
     parser = ArgumentParser(description=__description__)
 
     parser.add_argument('contigs_fasta', metavar='FASTA FILE')
-    parser.add_argument('-l', '--min-len', type=int, default=0, metavar='MIN_LENGTH',
+    parser.add_argument('-l', '--min-len', type=int, default=0, metavar='INT',
                         help="Minimum length of contigs to keep (contigs shorter than this value\
                               will not be included in the output file). The default is %(default)d,\
                               so nothing will be removed if you do not declare a minimum size.")
+    parser.add_argument('--exact-length', type=int, default=None, metavar='INT',
+                        help="Exact lenght of the sequences you wish to keep from a FASTA fille. Why \
+                              would anyone need that? Anvi'o does not know. But there you have it. This \
+                              parameter is indeed incompatible with a lot of others, such as `--min-len`.")
     parser.add_argument('--max-percentage-gaps', type=float, default=100, metavar='PERCENTAGE',
                         help="Maximum fraction of gaps in a sequence (any sequence with \
                               more gaps will be removed from the output FASTA file). The \

From e762aae013d10b4ea8200ba35699b19b3a50466d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:32:39 +0000
Subject: [PATCH 0606/1020] Revert "Merge branch 'master' of
 github.com:merenlab/anvio"

This reverts commit 8f39ed479fe6a8516a58e1b33c01f40dd5f7e601, reversing
changes made to 2c0511bb305720f490db4f370c22b64cf7f80b76.
---
 .../docs/programs/anvi-estimate-metabolism.md |  4 ++
 .../ecophylo/no-samples-txt-config.json       |  2 +-
 .../only-external-genomes-txt-config.json     |  2 +-
 .../ecophylo/only-metagenomes-txt-config.json |  2 +-
 anvio/workflows/ecophylo/Snakefile            | 40 ++++++++-----------
 anvio/workflows/ecophylo/__init__.py          |  4 +-
 6 files changed, 26 insertions(+), 28 deletions(-)

diff --git a/anvio/docs/programs/anvi-estimate-metabolism.md b/anvio/docs/programs/anvi-estimate-metabolism.md
index d2e6fa2b24..5517d16d39 100644
--- a/anvio/docs/programs/anvi-estimate-metabolism.md
+++ b/anvio/docs/programs/anvi-estimate-metabolism.md
@@ -251,7 +251,11 @@ anvi-estimate-metabolism -c %(contigs-db)s --include-zeros
 If you have a profile database associated with your contigs database and you would like to include coverage and detection data in the metabolism estimation output files, you can use the `--add-coverage` flag. You will need to provide the profile database as well, of course. :)
 
 {{ codestart }}
+<<<<<<< HEAD
 anvi-estimate-metabolism -c %(contigs-db)s -p %(profile-db)s --kegg-output-modes modules,kofam_hits_in_modules,kofam_hits --add-coverage
+=======
+anvi-estimate-metabolism -c %(contigs-db)s -p %(profile-db)s --output-modes modules,hits_in_modules,hits --add-coverage
+>>>>>>> parent of 8f39ed479 (Merge branch 'master' of github.com:merenlab/anvio)
 {{ codestop }}
 
 For `hits_in_modules` and `hits` mode output files, in which each row describes one enzyme annotation for a gene in the contigs database, the output will contain two additional columns per sample in the profile database. One column will contain the mean coverage of that particular gene call by reads from that sample and the other will contain the detection of that gene in the sample.
diff --git a/anvio/tests/sandbox/workflows/ecophylo/no-samples-txt-config.json b/anvio/tests/sandbox/workflows/ecophylo/no-samples-txt-config.json
index 018172b95a..dc959d1b47 100644
--- a/anvio/tests/sandbox/workflows/ecophylo/no-samples-txt-config.json
+++ b/anvio/tests/sandbox/workflows/ecophylo/no-samples-txt-config.json
@@ -20,7 +20,7 @@
     "simplify_names_from_hmm_hits": {
         "threads": 2
     },
-    "combine_sequence_data": {
+    "cat_sequences_to_one_fasta": {
         "threads": 2
     },
     "anvi_get_external_gene_calls_file": {
diff --git a/anvio/tests/sandbox/workflows/ecophylo/only-external-genomes-txt-config.json b/anvio/tests/sandbox/workflows/ecophylo/only-external-genomes-txt-config.json
index 98d59d06b1..a87fc329bc 100644
--- a/anvio/tests/sandbox/workflows/ecophylo/only-external-genomes-txt-config.json
+++ b/anvio/tests/sandbox/workflows/ecophylo/only-external-genomes-txt-config.json
@@ -20,7 +20,7 @@
     "simplify_names_from_hmm_hits": {
         "threads": 2
     },
-    "combine_sequence_data": {
+    "cat_sequences_to_one_fasta": {
         "threads": 2
     },
     "anvi_get_external_gene_calls_file": {
diff --git a/anvio/tests/sandbox/workflows/ecophylo/only-metagenomes-txt-config.json b/anvio/tests/sandbox/workflows/ecophylo/only-metagenomes-txt-config.json
index 24580326d6..1b7bbd4895 100644
--- a/anvio/tests/sandbox/workflows/ecophylo/only-metagenomes-txt-config.json
+++ b/anvio/tests/sandbox/workflows/ecophylo/only-metagenomes-txt-config.json
@@ -20,7 +20,7 @@
     "simplify_names_from_hmm_hits": {
         "threads": 2
     },
-    "combine_sequence_data": {
+    "cat_sequences_to_one_fasta": {
         "threads": 2
     },
     "anvi_get_external_gene_calls_file": {
diff --git a/anvio/workflows/ecophylo/Snakefile b/anvio/workflows/ecophylo/Snakefile
index c210f680a7..a7d4a41345 100644
--- a/anvio/workflows/ecophylo/Snakefile
+++ b/anvio/workflows/ecophylo/Snakefile
@@ -213,13 +213,13 @@ rule simplify_names_from_hmm_hits:
                               -o {output.fasta_AA} >> {log} 2>&1")
 
 
-rule combine_sequence_data:
+rule cat_sequences_to_one_fasta:
     """
     Cat all sequences and reformat_files from seperate metagenomes, genomes, SAGs, or MAGs into one fasta
     """
 
     version: 1.0
-    log: os.path.join(dirs_dict['LOGS_DIR'], "combine_sequence_data_{HMM}.log")
+    log: os.path.join(dirs_dict['LOGS_DIR'], "cat_sequences_to_one_fasta_{HMM}.log")
     input:
         NT = expand(os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], "{sample_names}", "{sample_names}-{{HMM}}-hmm_hits_renamed.fna"), sample_names = M.names_list),
         AA = expand(os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], "{sample_names}", "{sample_names}-{{HMM}}-hmm_hits_renamed.faa"), sample_names = M.names_list),
@@ -227,18 +227,15 @@ rule combine_sequence_data:
     output:
         NT_all = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-all.fna"),
         AA_all = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-all.faa"),
-        reformat_report_all = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-reformat-report-all.txt")
-    threads: M.T('combine_sequence_data')
+        reformat_report_all = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-reformat-report-all.txt"),
+    threads: M.T('cat_sequences_to_one_fasta')
     run:
-        with open(output.NT_all, "a") as NT_output:
-            for f in input.NT:
-                NT_output.write(open(f).read())
-        with open(output.AA_all, "a") as AA_all:
-            for f in input.AA:
-                AA_all.write(open(f).read())
-        with open(output.reformat_report_all, "a") as reformat_report_all:
-            for f in input.reformat_report_list:
-                reformat_report_all.write(open(f).read())
+        shell(f"cat {input.NT} >> {output.NT_all}")
+
+        shell(f"cat {input.AA} >> {output.AA_all}")
+
+        shell(f"cat {input.reformat_report_list} >> {output.reformat_report_all}")
+
 
 rule anvi_get_external_gene_calls_file:
     """Extract external_gene_calls table from all samples"""
@@ -288,9 +285,7 @@ rule cat_external_gene_calls_file:
         external_gene_calls_all = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-external_gene_calls_all.tsv"),
     threads: M.T('cat_external_gene_calls_file')
     run:
-        with open(output.external_gene_calls_all, "a") as external_gene_calls_all:
-                for f in input.external_gene_calls_renamed:
-                    external_gene_calls_all.write(open(f).read())
+        shell(f"cat {input.external_gene_calls_renamed} >> {output.external_gene_calls_all} 2> {log}")
 
 
 rule cluster_X_percent_sim_mmseqs:
@@ -301,7 +296,7 @@ rule cluster_X_percent_sim_mmseqs:
 
     version: 1.0
     log: os.path.join(dirs_dict['LOGS_DIR'], "cluster_X_mmseqs_{HMM}.log")
-    input: rules.combine_sequence_data.output.NT_all
+    input: rules.cat_sequences_to_one_fasta.output.NT_all
     output: 
         fasta = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-mmseqs_NR_rep_seq.fasta"),
         mmseqs_cluster_rep_index = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-mmseqs_NR_cluster.tsv")
@@ -317,7 +312,6 @@ rule cluster_X_percent_sim_mmseqs:
                                     --threads {threads} \
                                     --min-seq-id {params.min_seq_id} >> {log} 2>&1")
 
-
 if M.cluster_representative_method == "cluster_rep_with_coverages":
     rule anvi_profile_blitz:
         """
@@ -416,7 +410,7 @@ if M.cluster_representative_method == "cluster_rep_with_coverages":
         version: 1.0
         log: os.path.join(dirs_dict['LOGS_DIR'], "subset_AA_seqs_with_coverage_reps_{HMM}.log")
         input:
-            fa = rules.combine_sequence_data.output.AA_all,
+            fa = rules.cat_sequences_to_one_fasta.output.AA_all,
             coverage_reps = rules.pick_cluster_rep_with_coverage.output.coverage_reps,
         output:
             fasta = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-AA_subset.fa"),
@@ -432,7 +426,7 @@ if M.cluster_representative_method == "mmseqs":
         version: 1.0
         log: os.path.join(dirs_dict['LOGS_DIR'], "subset_AA_seqs_with_mmseqs_reps_{HMM}.log")
         input:
-            fa = rules.combine_sequence_data.output.AA_all,
+            fa = rules.cat_sequences_to_one_fasta.output.AA_all,
             mmseqs_reps = rules.cluster_X_percent_sim_mmseqs.output.fasta,
         output:
             fasta = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-AA_subset.fa"),
@@ -499,7 +493,7 @@ rule count_num_sequences_filtered:
     version: 1.0
     log: os.path.join(dirs_dict['LOGS_DIR'], "count_num_sequences_filtered_{HMM}.log")
     input:
-        step1 = rules.combine_sequence_data.output.NT_all,
+        step1 = rules.cat_sequences_to_one_fasta.output.NT_all,
         step2 = rules.cluster_X_percent_sim_mmseqs.output,
         step3 = rules.remove_sequences_with_X_percent_gaps.output
     output: os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_MSA_STATS'], "{HMM}", "{HMM}_stats.tsv")
@@ -529,7 +523,7 @@ rule subset_DNA_reps_with_QCd_AA_reps_for_mapping:
     version: 1.0
     log: os.path.join(dirs_dict['LOGS_DIR'], "subset_DNA_reps_with_QCd_AA_reps_for_mapping_{HMM}.log")
     input:
-        fasta = rules.combine_sequence_data.output.NT_all,
+        fasta = rules.cat_sequences_to_one_fasta.output.NT_all,
         reps = rules.remove_sequences_with_X_percent_gaps.output
     output:
         NT_for_mapping = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-references_for_mapping_NT.fa"),
@@ -758,7 +752,7 @@ rule anvi_scg_taxonomy:
     log: os.path.join(dirs_dict['LOGS_DIR'], "anvi_scg_taxonomy_{HMM}.log")
     input:
         misc_data = rules.make_misc_data.output.misc_data_final,
-        reformat_file = rules.combine_sequence_data.output.reformat_report_all,
+        reformat_file = rules.cat_sequences_to_one_fasta.output.reformat_report_all,
     params:
         combined_genomes_txt = "combined_genomes.txt",
         taxonomy = os.path.join(dirs_dict['MISC_DATA'], "{HMM}_estimate_scg_taxonomy_results"),
diff --git a/anvio/workflows/ecophylo/__init__.py b/anvio/workflows/ecophylo/__init__.py
index 243cc3141b..626b68a203 100644
--- a/anvio/workflows/ecophylo/__init__.py
+++ b/anvio/workflows/ecophylo/__init__.py
@@ -41,7 +41,7 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
                            'filter_hmm_hits_by_query_coverage',
                            'anvi_get_sequences_for_hmm_hits',
                            'simplify_names_from_hmm_hits',
-                           'combine_sequence_data',
+                           'cat_sequences_to_one_fasta',
                            'anvi_get_external_gene_calls_file',
                            'cat_external_gene_calls_file',
                            'cluster_X_percent_sim_mmseqs',
@@ -98,7 +98,7 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
             'filter_hmm_hits_by_query_coverage': {'threads': 5, '--query-coverage': 0.8},
             'anvi_get_sequences_for_hmm_hits': {'threads': 2},
             'simplify_names_from_hmm_hits': {'threads': 2},
-            'combine_sequence_data': {'threads': 2},
+            'cat_sequences_to_one_fasta': {'threads': 2},
             'anvi_get_external_gene_calls_file': {'threads': 5},
             'cat_external_gene_calls_file': {'threads': 2},
             'cluster_X_percent_sim_mmseqs': {'threads': 5, '--min-seq-id': 0.94},

From 493f34cba0d78af94297803e8e74f1da4cb2e3bf Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:33:20 +0000
Subject: [PATCH 0607/1020] Revert "fixy fix"

This reverts commit 2c0511bb305720f490db4f370c22b64cf7f80b76.
---
 .../programs/anvi-script-reformat-fasta.md    | 46 +++++++++++++++++++
 1 file changed, 46 insertions(+)

diff --git a/anvio/docs/programs/anvi-script-reformat-fasta.md b/anvio/docs/programs/anvi-script-reformat-fasta.md
index 11faf45535..2226341b95 100644
--- a/anvio/docs/programs/anvi-script-reformat-fasta.md
+++ b/anvio/docs/programs/anvi-script-reformat-fasta.md
@@ -20,3 +20,49 @@ anvi-script-reformat-fasta %(fasta)s \
                            --simplify-names
 {{ codestop }}
 
+### Example output
+
+```
+anvi-script-reformat-fasta contigs.fa \
+                           --simplify-names \
+                           --prefix YYY \
+                           --min-len 1000 \
+                           --seq-type NT \
+                           --overwrite-input
+```
+
+```
+Input ........................................: contigs.fa
+Output .......................................: (anvi'o will overwrite your input file)
+
+WHAT WAS THERE
+===============================================
+Total num contigs ............................: 4,189
+Total num nucleotides ........................: 35,766,167
+
+WHAT WAS ASKED
+===============================================
+Simplify deflines? ...........................: Yes
+Add prefix to sequence names? ................: Yes, add 'YYY'
+Minimum length of contigs to keep ............: 1,000
+Max % gaps allowed ...........................: 100.00%
+Max num gaps allowed .........................: 1,000,000
+Exclude specific sequences? ..................: No
+Keep specific sequences? .....................: No
+Enforce sequence type? .......................: Yes, enforce 'NT'
+
+WHAT HAPPENED
+===============================================
+Contigs removed ..............................: 3,156 (75.34% of all)
+Nucleotides removed ..........................: 6,121,239 (17.11% of all)
+Nucleotides modified .........................: 161 (0.00045% of all)
+Deflines simplified ..........................: True
+
+
+* The contents of your input file have changed because you used the flag
+`--overwrite-input`.
+
+```
+
+{:.warning}
+Please use the flag `--overwrite-input` with extreme caution.

From 012b4d2bce8ca3a57fa86e4cb9a0073eec0c6f1c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:35:47 +0000
Subject: [PATCH 0608/1020] Revert "Merge pull request #1890 from
 merenlab/generalize_xfilter_input"

This reverts commit 48985e4342c525b9f8a79e8296ffc13f02fdf956, reversing
changes made to ab44e689ab70f4172a8ee833ad2c94cd78368c4e.
---
 anvio/docs/programs/anvi-estimate-metabolism.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/anvio/docs/programs/anvi-estimate-metabolism.md b/anvio/docs/programs/anvi-estimate-metabolism.md
index 5517d16d39..9f3d2e7f74 100644
--- a/anvio/docs/programs/anvi-estimate-metabolism.md
+++ b/anvio/docs/programs/anvi-estimate-metabolism.md
@@ -255,7 +255,10 @@ If you have a profile database associated with your contigs database and you wou
 anvi-estimate-metabolism -c %(contigs-db)s -p %(profile-db)s --kegg-output-modes modules,kofam_hits_in_modules,kofam_hits --add-coverage
 =======
 anvi-estimate-metabolism -c %(contigs-db)s -p %(profile-db)s --output-modes modules,hits_in_modules,hits --add-coverage
+<<<<<<< HEAD
 >>>>>>> parent of 8f39ed479 (Merge branch 'master' of github.com:merenlab/anvio)
+=======
+>>>>>>> parent of 48985e434 (Merge pull request #1890 from merenlab/generalize_xfilter_input)
 {{ codestop }}
 
 For `hits_in_modules` and `hits` mode output files, in which each row describes one enzyme annotation for a gene in the contigs database, the output will contain two additional columns per sample in the profile database. One column will contain the mean coverage of that particular gene call by reads from that sample and the other will contain the detection of that gene in the sample.

From 7d8758f8434be1ba084b80d97c4f6e264913a942 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:36:50 +0000
Subject: [PATCH 0609/1020] Revert "much better reporting"

This reverts commit 0187a2dc8905f446e418f247416ee51408dbefa8.
---
 anvio/data/interactive/js/genomeview/main.js  |  2 +-
 .../programs/anvi-script-reformat-fasta.md    | 46 -------------------
 sandbox/anvi-script-reformat-fasta            |  2 +
 3 files changed, 3 insertions(+), 47 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 80db8f524d..93487e8509 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -173,7 +173,7 @@ function loadState() {
       }
     },
     error: function(resp){
-      toastr.error(resp)
+      console.log(resp)
     }
   })
 }
diff --git a/anvio/docs/programs/anvi-script-reformat-fasta.md b/anvio/docs/programs/anvi-script-reformat-fasta.md
index 2226341b95..11faf45535 100644
--- a/anvio/docs/programs/anvi-script-reformat-fasta.md
+++ b/anvio/docs/programs/anvi-script-reformat-fasta.md
@@ -20,49 +20,3 @@ anvi-script-reformat-fasta %(fasta)s \
                            --simplify-names
 {{ codestop }}
 
-### Example output
-
-```
-anvi-script-reformat-fasta contigs.fa \
-                           --simplify-names \
-                           --prefix YYY \
-                           --min-len 1000 \
-                           --seq-type NT \
-                           --overwrite-input
-```
-
-```
-Input ........................................: contigs.fa
-Output .......................................: (anvi'o will overwrite your input file)
-
-WHAT WAS THERE
-===============================================
-Total num contigs ............................: 4,189
-Total num nucleotides ........................: 35,766,167
-
-WHAT WAS ASKED
-===============================================
-Simplify deflines? ...........................: Yes
-Add prefix to sequence names? ................: Yes, add 'YYY'
-Minimum length of contigs to keep ............: 1,000
-Max % gaps allowed ...........................: 100.00%
-Max num gaps allowed .........................: 1,000,000
-Exclude specific sequences? ..................: No
-Keep specific sequences? .....................: No
-Enforce sequence type? .......................: Yes, enforce 'NT'
-
-WHAT HAPPENED
-===============================================
-Contigs removed ..............................: 3,156 (75.34% of all)
-Nucleotides removed ..........................: 6,121,239 (17.11% of all)
-Nucleotides modified .........................: 161 (0.00045% of all)
-Deflines simplified ..........................: True
-
-
-* The contents of your input file have changed because you used the flag
-`--overwrite-input`.
-
-```
-
-{:.warning}
-Please use the flag `--overwrite-input` with extreme caution.
diff --git a/sandbox/anvi-script-reformat-fasta b/sandbox/anvi-script-reformat-fasta
index 2210c02dd4..fd78b68854 100755
--- a/sandbox/anvi-script-reformat-fasta
+++ b/sandbox/anvi-script-reformat-fasta
@@ -163,6 +163,8 @@ def reformat_FASTA(args):
     fasta.close()
     output.close()
 
+    if args.overwrite_input:
+        shutil.move(args.output_file, args.contigs_fasta)
     run.info('Total num contigs', total_num_contigs)
     run.info('Total num nucleotides', total_num_nucleotides)
     run.info('Contigs removed', '%d (%.2f%% of all)' % (total_num_contigs_removed, total_num_contigs_removed * 100.0 / total_num_contigs), mc='green')

From 1b364d25dd5edf3735bb244daad0551d1be08693 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:39:39 +0000
Subject: [PATCH 0610/1020] Revert "fix these stupid links. i get them wrong
 every time"

This reverts commit d2b3e94876a11423bfb0396fd219fdc218223db9.
---
 anvio/docs/artifacts/enzymes-txt.md           | 43 +++++++++++++++++++
 .../docs/programs/anvi-estimate-metabolism.md | 24 ++++++++---
 sandbox/anvi-script-reformat-fasta            |  2 -
 3 files changed, 60 insertions(+), 9 deletions(-)
 create mode 100644 anvio/docs/artifacts/enzymes-txt.md

diff --git a/anvio/docs/artifacts/enzymes-txt.md b/anvio/docs/artifacts/enzymes-txt.md
new file mode 100644
index 0000000000..5e49e4d774
--- /dev/null
+++ b/anvio/docs/artifacts/enzymes-txt.md
@@ -0,0 +1,43 @@
+This artifact is a TAB-delimited file that describes a set of enzymes.
+
+The user can generate this file to define an arbitrary set of enzymes that they want to estimate metabolism on, using the program %{anvi-estimate-metabolism}s.
+
+
+## Minimal file format
+
+Each row (besides the header) in this file represents one enzyme in the set. At minimum, the file must contain three columns:
+- a `gene_id` column containing a _unique_ value to identify a gene for the enzyme. The value can be either a string (like a gene name) or an integer (like a gene callers id), but it has to be unique because sometimes multiple genes can have the same enzyme annotation.
+- an `enzyme_accession` column containing the accession of the enzyme, such as a KEGG Ortholog accession for KOfams, a COG accession for NCBI COGs, a Pfam, etc
+- a `source` column containing the name of the database that would be used to annotate the enzyme. For example, "KOfam", "COG20_FUNCTION", "Pfam", etc.
+
+{: .notice}
+Ideally, all annotation sources in this column would match to those used to define the metabolic pathways you are estimating completeness for (whether those are [KEGG Modules](https://www.genome.jp/kegg/module.html) or user-defined modules as in %{user-modules-data}), but in practice, we don't currently check for this. If you include some enzymes that are not part of any metabolic modules, they simply will not contribute to the completeness scores of any pathways, and you would therefore only see them in "hits" mode output files.
+So the `source` column is (at this time) mostly for you to make sure you know which database these enzymes are coming from and that at least some (hopefully most) will actually be part of the metabolic pathways you are interested, because otherwise the results from %{anvi-estimate-metabolism}s might not make much sense. However, you do have complete freedom to define the 'source' value arbitrarily, if you want. But please keep in mind that this may change in the very near future - one day these `source` values might actually matter for the functioning of %{anvi-estimate-metabolism}s (in which case this documentation will be updated to reflect that). So it is best to get used to setting them properly. :)
+
+## Minimal file example
+
+Here is an example file with the minimum set of columns:
+
+|**gene_id**|**enzyme_accession**|**source**|
+|:--|:--|:--|
+|aad:TC41_3038|K02886|KOfam|
+|aca:ACP_1744|K02626|KOfam|
+|aco:Amico_1604|K00606|KOfam|
+|ade:Adeh_0623|K02669|KOfam|
+
+## Adding gene coverage and detection values
+
+If you want downstream programs like %{anvi-estimate-metabolism}s to have access to the coverage and detection data for each enzyme (well, technically, its gene), then you can add two additional columns to this file:
+- the  `coverage` column should contain the numerical coverage value for the gene encoding the enzyme
+- the `detection` column should contain the numerical detection value for the gene encoding the enzyme
+
+If these columns are included, you can use the `--add-coverage` flag with %{anvi-estimate-metabolism}s so that this data is included in the output for each metabolic pathway and/or enzyme. However, you do need to include _both_ of the columns - that program does not currently support adding just coverage or just detection.
+
+## Example with coverage and detection
+
+|**gene_id**|**enzyme_accession**|**source**|**coverage**|**detection**|
+|:--|:--|:--|:--|:--|
+|aad:TC41_3038|K02886|KOfam|4.44|0.7862318840579711|
+|aca:ACP_1744|K02626|KOfam|4.522875816993464|0.7790055248618785|
+|aco:Amico_1604|K00606|KOfam|2.63953488372093|0.8063380281690141|
+|ade:Adeh_0623|K02669|KOfam|2.011764705882353|0.6639344262295082|
diff --git a/anvio/docs/programs/anvi-estimate-metabolism.md b/anvio/docs/programs/anvi-estimate-metabolism.md
index 9f3d2e7f74..5c251ecda7 100644
--- a/anvio/docs/programs/anvi-estimate-metabolism.md
+++ b/anvio/docs/programs/anvi-estimate-metabolism.md
@@ -79,6 +79,17 @@ anvi-estimate-metabolism -c %(contigs-db)s --metagenome-mode
 {: .notice}
 In metagenome mode, this program will estimate metabolism for each contig in the metagenome separately. This will tend to underestimate module completeness because it is likely that many modules will be broken up across multiple contigs belonging to the same population. If you prefer to instead treat all enzyme annotations in the metagenome as belonging to one collective genome, you can do so by simply leaving out the `--metagenome-mode` flag (to effectively pretend that you are doing estimation for a single genome, although in your heart you will know that your contigs database really contains a metagenome). Please note that this will result in the opposite tendency to overestimate module completeness (as the enzymes will in reality be coming from multiple different populations), and there will be a lot of redundancy. We are working on improving our estimation algorithm for metagenome mode. In the meantime, if you are worried about the misleading results from either of these situations, we suggest binning your metagenomes first and running estimation for the bins as described below.
 
+### Estimation for a set of enzymes
+
+Suppose you have a list of enzymes. This could be an entirely theoretical list, or they could come from some annotation data that you got outside of anvi'o - regardless of where you came up with this set, you can figure out what metabolic pathways these enzymes contribute to. All you have to do is format that list as an %{enzymes-txt}s file, and give that input file to this program, like so:
+
+{{ codestart }}
+anvi-estimate-metabolism --enzymes-txt %{enzymes-txt}s
+{{ codestop }}
+
+The program will pretend all of these enzymes are coming from one theoretical 'genome' (though the reality depends on how you defined or obtained the set), so the completion estimates for each metabolic pathway will consider all enzymes in the file. If you want to instead break up your set of enzymes across multiple 'genomes', then you will have to make multiple different input files and run this program on each one.
+
+
 ## MULTI-MODE: Running metabolism estimation on multiple contigs databases
 
 If you have a set of contigs databases of the same type (i.e., all of them are single genomes or all are binned metagenomes), you can analyze them all at once. What you need to do is put the relevant information for each %(contigs-db)s into a text file and pass that text file to %(anvi-estimate-metabolism)s. The program will then run estimation individually on each contigs database in the file. The estimation results for each database will be aggregated and printed to the same output file(s).
@@ -251,14 +262,13 @@ anvi-estimate-metabolism -c %(contigs-db)s --include-zeros
 If you have a profile database associated with your contigs database and you would like to include coverage and detection data in the metabolism estimation output files, you can use the `--add-coverage` flag. You will need to provide the profile database as well, of course. :)
 
 {{ codestart }}
-<<<<<<< HEAD
-anvi-estimate-metabolism -c %(contigs-db)s -p %(profile-db)s --kegg-output-modes modules,kofam_hits_in_modules,kofam_hits --add-coverage
-=======
 anvi-estimate-metabolism -c %(contigs-db)s -p %(profile-db)s --output-modes modules,hits_in_modules,hits --add-coverage
-<<<<<<< HEAD
->>>>>>> parent of 8f39ed479 (Merge branch 'master' of github.com:merenlab/anvio)
-=======
->>>>>>> parent of 48985e434 (Merge pull request #1890 from merenlab/generalize_xfilter_input)
+{{ codestop }}
+
+This option also works for the `--enzymes-txt` input option, provided that you include _both_ a `coverage` column and a `detection` column in the %{enzymes-txt}s input file.
+
+{{ codestart }}
+anvi-estimate-metabolism --enzymes-txt %{enzymes-txt}s --add-coverage
 {{ codestop }}
 
 For `hits_in_modules` and `hits` mode output files, in which each row describes one enzyme annotation for a gene in the contigs database, the output will contain two additional columns per sample in the profile database. One column will contain the mean coverage of that particular gene call by reads from that sample and the other will contain the detection of that gene in the sample.
diff --git a/sandbox/anvi-script-reformat-fasta b/sandbox/anvi-script-reformat-fasta
index fd78b68854..2210c02dd4 100755
--- a/sandbox/anvi-script-reformat-fasta
+++ b/sandbox/anvi-script-reformat-fasta
@@ -163,8 +163,6 @@ def reformat_FASTA(args):
     fasta.close()
     output.close()
 
-    if args.overwrite_input:
-        shutil.move(args.output_file, args.contigs_fasta)
     run.info('Total num contigs', total_num_contigs)
     run.info('Total num nucleotides', total_num_nucleotides)
     run.info('Contigs removed', '%d (%.2f%% of all)' % (total_num_contigs_removed, total_num_contigs_removed * 100.0 / total_num_contigs), mc='green')

From feebd0cf5a1df74cb1b3e94b933468b30b2f9f12 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:40:40 +0000
Subject: [PATCH 0611/1020] Revert "fix the bug. it was surprisingly easy"

This reverts commit 49381ea76e84ef51966e5a26ef616f6d495ae518.
---
 anvio/docs/artifacts/enzymes-txt.md           | 43 -------------------
 .../docs/programs/anvi-estimate-metabolism.md | 17 --------
 anvio/kegg.py                                 |  2 +
 3 files changed, 2 insertions(+), 60 deletions(-)
 delete mode 100644 anvio/docs/artifacts/enzymes-txt.md

diff --git a/anvio/docs/artifacts/enzymes-txt.md b/anvio/docs/artifacts/enzymes-txt.md
deleted file mode 100644
index 5e49e4d774..0000000000
--- a/anvio/docs/artifacts/enzymes-txt.md
+++ /dev/null
@@ -1,43 +0,0 @@
-This artifact is a TAB-delimited file that describes a set of enzymes.
-
-The user can generate this file to define an arbitrary set of enzymes that they want to estimate metabolism on, using the program %{anvi-estimate-metabolism}s.
-
-
-## Minimal file format
-
-Each row (besides the header) in this file represents one enzyme in the set. At minimum, the file must contain three columns:
-- a `gene_id` column containing a _unique_ value to identify a gene for the enzyme. The value can be either a string (like a gene name) or an integer (like a gene callers id), but it has to be unique because sometimes multiple genes can have the same enzyme annotation.
-- an `enzyme_accession` column containing the accession of the enzyme, such as a KEGG Ortholog accession for KOfams, a COG accession for NCBI COGs, a Pfam, etc
-- a `source` column containing the name of the database that would be used to annotate the enzyme. For example, "KOfam", "COG20_FUNCTION", "Pfam", etc.
-
-{: .notice}
-Ideally, all annotation sources in this column would match to those used to define the metabolic pathways you are estimating completeness for (whether those are [KEGG Modules](https://www.genome.jp/kegg/module.html) or user-defined modules as in %{user-modules-data}), but in practice, we don't currently check for this. If you include some enzymes that are not part of any metabolic modules, they simply will not contribute to the completeness scores of any pathways, and you would therefore only see them in "hits" mode output files.
-So the `source` column is (at this time) mostly for you to make sure you know which database these enzymes are coming from and that at least some (hopefully most) will actually be part of the metabolic pathways you are interested, because otherwise the results from %{anvi-estimate-metabolism}s might not make much sense. However, you do have complete freedom to define the 'source' value arbitrarily, if you want. But please keep in mind that this may change in the very near future - one day these `source` values might actually matter for the functioning of %{anvi-estimate-metabolism}s (in which case this documentation will be updated to reflect that). So it is best to get used to setting them properly. :)
-
-## Minimal file example
-
-Here is an example file with the minimum set of columns:
-
-|**gene_id**|**enzyme_accession**|**source**|
-|:--|:--|:--|
-|aad:TC41_3038|K02886|KOfam|
-|aca:ACP_1744|K02626|KOfam|
-|aco:Amico_1604|K00606|KOfam|
-|ade:Adeh_0623|K02669|KOfam|
-
-## Adding gene coverage and detection values
-
-If you want downstream programs like %{anvi-estimate-metabolism}s to have access to the coverage and detection data for each enzyme (well, technically, its gene), then you can add two additional columns to this file:
-- the  `coverage` column should contain the numerical coverage value for the gene encoding the enzyme
-- the `detection` column should contain the numerical detection value for the gene encoding the enzyme
-
-If these columns are included, you can use the `--add-coverage` flag with %{anvi-estimate-metabolism}s so that this data is included in the output for each metabolic pathway and/or enzyme. However, you do need to include _both_ of the columns - that program does not currently support adding just coverage or just detection.
-
-## Example with coverage and detection
-
-|**gene_id**|**enzyme_accession**|**source**|**coverage**|**detection**|
-|:--|:--|:--|:--|:--|
-|aad:TC41_3038|K02886|KOfam|4.44|0.7862318840579711|
-|aca:ACP_1744|K02626|KOfam|4.522875816993464|0.7790055248618785|
-|aco:Amico_1604|K00606|KOfam|2.63953488372093|0.8063380281690141|
-|ade:Adeh_0623|K02669|KOfam|2.011764705882353|0.6639344262295082|
diff --git a/anvio/docs/programs/anvi-estimate-metabolism.md b/anvio/docs/programs/anvi-estimate-metabolism.md
index 5c251ecda7..d43019799d 100644
--- a/anvio/docs/programs/anvi-estimate-metabolism.md
+++ b/anvio/docs/programs/anvi-estimate-metabolism.md
@@ -79,17 +79,6 @@ anvi-estimate-metabolism -c %(contigs-db)s --metagenome-mode
 {: .notice}
 In metagenome mode, this program will estimate metabolism for each contig in the metagenome separately. This will tend to underestimate module completeness because it is likely that many modules will be broken up across multiple contigs belonging to the same population. If you prefer to instead treat all enzyme annotations in the metagenome as belonging to one collective genome, you can do so by simply leaving out the `--metagenome-mode` flag (to effectively pretend that you are doing estimation for a single genome, although in your heart you will know that your contigs database really contains a metagenome). Please note that this will result in the opposite tendency to overestimate module completeness (as the enzymes will in reality be coming from multiple different populations), and there will be a lot of redundancy. We are working on improving our estimation algorithm for metagenome mode. In the meantime, if you are worried about the misleading results from either of these situations, we suggest binning your metagenomes first and running estimation for the bins as described below.
 
-### Estimation for a set of enzymes
-
-Suppose you have a list of enzymes. This could be an entirely theoretical list, or they could come from some annotation data that you got outside of anvi'o - regardless of where you came up with this set, you can figure out what metabolic pathways these enzymes contribute to. All you have to do is format that list as an %{enzymes-txt}s file, and give that input file to this program, like so:
-
-{{ codestart }}
-anvi-estimate-metabolism --enzymes-txt %{enzymes-txt}s
-{{ codestop }}
-
-The program will pretend all of these enzymes are coming from one theoretical 'genome' (though the reality depends on how you defined or obtained the set), so the completion estimates for each metabolic pathway will consider all enzymes in the file. If you want to instead break up your set of enzymes across multiple 'genomes', then you will have to make multiple different input files and run this program on each one.
-
-
 ## MULTI-MODE: Running metabolism estimation on multiple contigs databases
 
 If you have a set of contigs databases of the same type (i.e., all of them are single genomes or all are binned metagenomes), you can analyze them all at once. What you need to do is put the relevant information for each %(contigs-db)s into a text file and pass that text file to %(anvi-estimate-metabolism)s. The program will then run estimation individually on each contigs database in the file. The estimation results for each database will be aggregated and printed to the same output file(s).
@@ -265,12 +254,6 @@ If you have a profile database associated with your contigs database and you wou
 anvi-estimate-metabolism -c %(contigs-db)s -p %(profile-db)s --output-modes modules,hits_in_modules,hits --add-coverage
 {{ codestop }}
 
-This option also works for the `--enzymes-txt` input option, provided that you include _both_ a `coverage` column and a `detection` column in the %{enzymes-txt}s input file.
-
-{{ codestart }}
-anvi-estimate-metabolism --enzymes-txt %{enzymes-txt}s --add-coverage
-{{ codestop }}
-
 For `hits_in_modules` and `hits` mode output files, in which each row describes one enzyme annotation for a gene in the contigs database, the output will contain two additional columns per sample in the profile database. One column will contain the mean coverage of that particular gene call by reads from that sample and the other will contain the detection of that gene in the sample.
 
 For `modules` mode output files, in which each row describes a metabolic module, the output will contain _four_ additional columns per sample in the profile database. One column will contain comma-separated mean coverage values for each gene call in the module, in the same order as the corresponding gene calls in the `gene_caller_ids_in_module` column. Another column will contain the average of these gene coverage values, which represents the average coverage of the entire module. Likewise, the third and fourth columns will contain comma-separated detection values for each gene call and the average detection, respectively.
diff --git a/anvio/kegg.py b/anvio/kegg.py
index a81941171f..6ec2b0fd7a 100644
--- a/anvio/kegg.py
+++ b/anvio/kegg.py
@@ -4741,6 +4741,8 @@ def get_modules_table_data_values_as_dict(self, data_names_of_interest=[]):
 
             if data_name not in module_dictionary[mod]:
                 module_dictionary[mod][data_name] = data_value
+                # BUG FIXME: if there is only one occurrence of a data_name like ORTHOLOGY, that is meant to be a dict with data_definition values,
+                # we will lose the data_definition information because that data name never appears again, so this is never converted to a dict
             else:
                 if isinstance(module_dictionary[mod][data_name], list):
                     module_dictionary[mod][data_name].append(data_value)

From acb6abbb84db476987eeeec87ef6a74e6df0931c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:41:24 +0000
Subject: [PATCH 0612/1020] Revert "look for enzyme function first in ko_dict,
 then in database"

This reverts commit df35977db8395a5b83d06f6f1e97685613999fac.
---
 anvio/kegg.py | 16 +++++++++++-----
 1 file changed, 11 insertions(+), 5 deletions(-)

diff --git a/anvio/kegg.py b/anvio/kegg.py
index 6ec2b0fd7a..8d34a2bfe6 100644
--- a/anvio/kegg.py
+++ b/anvio/kegg.py
@@ -1791,9 +1791,17 @@ def get_ko_metadata_dictionary(self, knum):
             mod_list_str = "None"
 
         if knum not in self.ko_dict:
-            raise ConfigError("Something is mysteriously wrong. You are seeking metadata "
-                              f"for enzyme {knum} but this enzyme is not in "
-                              "the enzyme dictionary (self.ko_dict). This should never have happened.")
+            if dont_fail_if_not_found:
+                self.run.warning(f"The enzyme {knum} was not found in the metabolism data, so we are unable to determine "
+                                 f"its functional annotation. You will see 'UNKNOWN' for this enzyme in any outputs describing "
+                                 f"its function.")
+                metadata_dict["enzyme_definition"] = "UNKNOWN"
+            else:
+                raise ConfigError("Something is mysteriously wrong. You are seeking metadata "
+                                  f"for enzyme {knum} but this enzyme is not in "
+                                  "the enzyme dictionary (self.ko_dict). This should never have happened.")
+        else:
+            metadata_dict["enzyme_definition"] = self.ko_dict[knum]['definition']
 
         metadata_dict = {}
         metadata_dict["enzyme_definition"] = self.ko_dict[knum]['definition']
@@ -4741,8 +4749,6 @@ def get_modules_table_data_values_as_dict(self, data_names_of_interest=[]):
 
             if data_name not in module_dictionary[mod]:
                 module_dictionary[mod][data_name] = data_value
-                # BUG FIXME: if there is only one occurrence of a data_name like ORTHOLOGY, that is meant to be a dict with data_definition values,
-                # we will lose the data_definition information because that data name never appears again, so this is never converted to a dict
             else:
                 if isinstance(module_dictionary[mod][data_name], list):
                     module_dictionary[mod][data_name].append(data_value)

From f46568ea0f2484c477f68cfd85969ce961bb52b5 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:42:08 +0000
Subject: [PATCH 0613/1020] Revert "random typo"

This reverts commit d729c04982294cadf541f013a711dfedecf1e818.
---
 anvio/kegg.py | 122 ++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 122 insertions(+)

diff --git a/anvio/kegg.py b/anvio/kegg.py
index 8d34a2bfe6..81e03ce297 100644
--- a/anvio/kegg.py
+++ b/anvio/kegg.py
@@ -3162,6 +3162,128 @@ def estimate_metabolism_from_json_data(self):
         return new_kegg_metabolism_superdict
 
 
+    def load_data_from_enzymes_txt(self):
+        """This function loads and sanity checks an enzymes txt file, and returns it as a pandas dataframe.
+
+        RETURNS
+        =======
+        enzyme_df : Pandas DataFrame
+            contains the information in the enzymes txt file
+        """
+
+        self.progress.new("Loading enzymes-txt file...")
+        expected_fields = ['gene_id', 'enzyme_accession', 'source']
+        enzyme_df = pd.read_csv(self.enzymes_txt, sep="\t")
+        self.progress.end()
+
+        self.run.info("Number of genes loaded from enzymes-txt file", enzyme_df.shape[0])
+
+        # sanity check for required columns
+        missing = []
+        for f in expected_fields:
+            if f not in enzyme_df.columns:
+                missing.append(f)
+        if missing:
+            miss_str = ", ".join(missing)
+            exp_str = ", ".join(expected_fields)
+            raise ConfigError(f"Your enzymes-txt file ({self.enzymes_txt}) is missing some required columns. "
+                              f"The columns it needs to have are: {exp_str}. And the missing column(s) include: {miss_str}")
+
+        # warning about extra columns
+        used_cols = expected_fields + ['coverage', 'detection']
+        extra_cols = []
+        for c in enzyme_df.columns:
+            if c not in used_cols:
+                extra_cols.append(c)
+        if extra_cols:
+            e_str = ", ".join(extra_cols)
+            self.run.warning("Just so you know, your input enzymes-txt file contained some columns of data that we are not "
+                             "going to use. This isn't an issue or anything, just an FYI. We're ignoring the following field(s): {e_str}")
+
+        # sanity check for unique gene ids
+        duplicates = list(enzyme_df[enzyme_df.duplicated(subset=['gene_id'])]['gene_id'].unique())
+        if duplicates:
+            if len(duplicates) > 5:
+                num = len(duplicates) - 1
+                dup_str = f"Here is one example (there are {num} others, but we didn't want to show them all): {duplicates[0]}"
+            else:
+                dup_str = f"Here are the duplicates: {', '.join(duplicates)}"
+            raise ConfigError(f"There are duplicate entries in the `gene_id` column of your enzymes-txt file. We require the values "
+                              f"in this column to be unique, so you'll have to modify (or remove) the duplicates. {dup_str} ")
+
+        # check and warning for enzymes not in self.all_kos_in_db
+        enzymes_not_in_modules = list(enzyme_df[~enzyme_df["enzyme_accession"].isin(self.all_kos_in_db.keys())]['enzyme_accession'].unique())
+        if enzymes_not_in_modules:
+            example = enzymes_not_in_modules[0]
+            self.run.warning(f"FYI, some enzymes in the 'enzyme_accession' column of your input enzymes-txt file do not belong to any "
+                             f"metabolic modules (that we know about). These enzymes will be ignored for the purposes of estimating module "
+                             f"completeness, but should still appear in enzyme-related outputs (if those were requested). In case you are "
+                             f"curious, here is one example (run this program with --debug to get a full list): {example}")
+
+        # if cov/det columns are not in the file, we explicitly turn off flag to add this data to output
+        if self.add_coverage and ('coverage' not in enzyme_df.columns or 'detection' not in enzyme_df.columns):
+            self.run.warning("You requested coverage/detection values to be added to the output files, but your "
+                             "input file does not seem to contain either a 'coverage' column or a 'detection' column, or both. "
+                             "Since we don't have this data,/874 --add-coverage will not work, so we are turning this "
+                             "flag off. Sorry ¯\_(ツ)_/¯")
+            self.add_coverage = False
+            # remove coverage headers from the list so we don't try to access them later
+            kofam_hits_coverage_headers = [self.contigs_db_project_name + "_coverage", self.contigs_db_project_name + "_detection"]
+            modules_coverage_headers = [self.contigs_db_project_name + "_gene_coverages", self.contigs_db_project_name + "_avg_coverage",
+                                        self.contigs_db_project_name + "_gene_detection", self.contigs_db_project_name + "_avg_detection"]
+            for h in kofam_hits_coverage_headers:
+                for mode in ["hits_in_modules", "hits"]:
+                    if h in self.available_modes[mode]["headers"]:
+                        self.available_modes[mode]["headers"].remove(h)
+            for h in modules_coverage_headers:
+                if h in self.available_modes["modules"]["headers"]:
+                    self.available_modes["modules"]["headers"].remove(h)
+
+        return enzyme_df
+
+
+    def estimate_metabolism_from_enzymes_txt(self):
+        """Estimates metabolism on a set of enzymes provided in a text file.
+
+        This function assumes that all enzymes in the file are coming from a single genome, and is effectively the
+        same as the estimate_for_genome() function.
+
+        Requires the self.enzymes_txt_data attribute to have been established (ie, by loading the self.enzymes_txt file).
+        We make fake splits and contigs to match the expected input to the atomic functions, and the contigs_db_project_name
+        attribute has been set (previously) to the name of the enzyme txt file
+
+        RETURNS
+        =======
+        enzyme_metabolism_superdict : dictionary of dictionary of dictionaries
+            dictionary mapping the name of the enzyme txt file to its metabolism completeness dictionary
+        enzyme_ko_superdict : dictionary of dictionary of dictionaries
+            maps the name of the enzyme txt file to its KOfam hit dictionary
+        """
+
+        kofam_gene_split_contig = []
+        # no splits or contigs here
+        for gene_call_id, ko in zip(self.enzymes_txt_data["gene_id"], self.enzymes_txt_data["enzyme_accession"]):
+            kofam_gene_split_contig.append((ko,gene_call_id,"NA","NA"))
+
+        enzyme_metabolism_superdict = {}
+        enzyme_ko_superdict = {}
+
+        metabolism_dict_for_genome,ko_dict_for_genome = self.mark_kos_present_for_list_of_splits(kofam_gene_split_contig,
+                                                                                                 bin_name=self.contigs_db_project_name)
+        if not self.store_json_without_estimation:
+            enzyme_metabolism_superdict[self.contigs_db_project_name] = self.estimate_for_list_of_splits(metabolism_dict_for_genome,
+                                                                                                         bin_name=self.contigs_db_project_name)
+            enzyme_ko_superdict[self.contigs_db_project_name] = ko_dict_for_genome
+        else:
+            enzyme_metabolism_superdict[self.contigs_db_project_name] = metabolism_dict_for_genome
+            enzyme_ko_superdict[self.contigs_db_project_name] = ko_dict_for_genome
+
+        # append to file
+        self.append_kegg_metabolism_superdicts(enzyme_metabolism_superdict, enzyme_ko_superdict)
+
+        return enzyme_metabolism_superdict, enzyme_ko_superdict
+
+
     def estimate_metabolism(self, skip_storing_data=False, output_files_dictionary=None, return_superdicts=False,
                             return_subset_for_matrix_format=False):
         """This is the driver function for estimating metabolism for a single contigs DB.

From a876149c9c4137bd02bf230cc4f41aeadc4f8c95 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:43:06 +0000
Subject: [PATCH 0614/1020] Revert "whoops"

This reverts commit 7ca6f6c4f2043d589a20a0fda71239520167fa60.
---
 anvio/kegg.py | 22 +++++++++-------------
 1 file changed, 9 insertions(+), 13 deletions(-)

diff --git a/anvio/kegg.py b/anvio/kegg.py
index 81e03ce297..dafd08b4b4 100644
--- a/anvio/kegg.py
+++ b/anvio/kegg.py
@@ -2709,12 +2709,10 @@ def add_module_coverage(self, mod, meta_dict_for_bin):
                     sample_set.add(sample)
             self.coverage_sample_list = list(sample_set)
         else:
-            self.coverage_sample_list = self.profile_db.p_meta['samples']
-
-        meta_dict_for_bin[mod]["genes_to_coverage"] = {}
-        meta_dict_for_bin[mod]["genes_to_detection"] = {}
-        meta_dict_for_bin[mod]["average_coverage_per_sample"] = {}
-        meta_dict_for_bin[mod]["average_detection_per_sample"] = {}
+            if self.enzymes_txt:
+                self.coverage_sample_list = self.contigs_db_project_name
+            else:
+                self.coverage_sample_list = self.profile_db.p_meta['samples']
 
         num_genes = len(meta_dict_for_bin[mod]["gene_caller_ids"])
         for s in self.coverage_sample_list:
@@ -3218,10 +3216,10 @@ def load_data_from_enzymes_txt(self):
             self.run.warning(f"FYI, some enzymes in the 'enzyme_accession' column of your input enzymes-txt file do not belong to any "
                              f"metabolic modules (that we know about). These enzymes will be ignored for the purposes of estimating module "
                              f"completeness, but should still appear in enzyme-related outputs (if those were requested). In case you are "
-                             f"curious, here is one example (run this program with --debug to get a full list): {example}")
+                             f"curious, here is one example: {example}")
 
         # if cov/det columns are not in the file, we explicitly turn off flag to add this data to output
-        if self.add_coverage and ('coverage' not in enzyme_df.columns or 'detection' not in enzyme_df.columns):
+        if self.add_coverage and 'coverage' not in enzyme_df.columns or 'detection' not in enzyme_df.columns:
             self.run.warning("You requested coverage/detection values to be added to the output files, but your "
                              "input file does not seem to contain either a 'coverage' column or a 'detection' column, or both. "
                              "Since we don't have this data,/874 --add-coverage will not work, so we are turning this "
@@ -3232,12 +3230,10 @@ def load_data_from_enzymes_txt(self):
             modules_coverage_headers = [self.contigs_db_project_name + "_gene_coverages", self.contigs_db_project_name + "_avg_coverage",
                                         self.contigs_db_project_name + "_gene_detection", self.contigs_db_project_name + "_avg_detection"]
             for h in kofam_hits_coverage_headers:
-                for mode in ["hits_in_modules", "hits"]:
-                    if h in self.available_modes[mode]["headers"]:
-                        self.available_modes[mode]["headers"].remove(h)
+                self.available_modes["hits_in_modules"]["headers"].remove(h)
+                self.available_modes["hits"]["headers"].remove(h)
             for h in modules_coverage_headers:
-                if h in self.available_modes["modules"]["headers"]:
-                    self.available_modes["modules"]["headers"].remove(h)
+                self.available_modes["modules"]["headers"].remove(h)
 
         return enzyme_df
 

From a6060c29f636d04a226a3381223273717caed44d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:43:37 +0000
Subject: [PATCH 0615/1020] Revert "fix"

This reverts commit 26a84b434183a6f0108563c75464bff2dfd1dce0.
---
 anvio/kegg.py | 40 ++++++++++++++++------------------------
 1 file changed, 16 insertions(+), 24 deletions(-)

diff --git a/anvio/kegg.py b/anvio/kegg.py
index dafd08b4b4..dc5800cc29 100644
--- a/anvio/kegg.py
+++ b/anvio/kegg.py
@@ -2267,9 +2267,16 @@ def add_gene_coverage_to_headers_list(self):
         be part of the available coverage/detection headers.
         """
 
-        if not self.profile_db:
-            self.args.skip_consider_gene_dbs = True
-            self.profile_db = ProfileSuperclass(self.args)
+        # obtain list of sample names
+        if self.enzymes_txt: # for this input the sample name is just the name of the input file (dots converted to underscores)
+            samples_list.append(self.contigs_db_project_name)
+
+        else:
+            if not self.profile_db:
+                self.args.skip_consider_gene_dbs = True
+                self.profile_db = ProfileSuperclass(self.args)
+
+            samples_list = self.profile_db.p_meta['samples']
 
         # first we get lists of all the headers we will need to add.
         # there will be one column per sample for both coverage and detection (for individual genes and for module averages)
@@ -2709,10 +2716,12 @@ def add_module_coverage(self, mod, meta_dict_for_bin):
                     sample_set.add(sample)
             self.coverage_sample_list = list(sample_set)
         else:
-            if self.enzymes_txt:
-                self.coverage_sample_list = self.contigs_db_project_name
-            else:
-                self.coverage_sample_list = self.profile_db.p_meta['samples']
+            self.coverage_sample_list = self.profile_db.p_meta['samples']
+
+        meta_dict_for_bin[mod]["genes_to_coverage"] = {}
+        meta_dict_for_bin[mod]["genes_to_detection"] = {}
+        meta_dict_for_bin[mod]["average_coverage_per_sample"] = {}
+        meta_dict_for_bin[mod]["average_detection_per_sample"] = {}
 
         num_genes = len(meta_dict_for_bin[mod]["gene_caller_ids"])
         for s in self.coverage_sample_list:
@@ -3218,23 +3227,6 @@ def load_data_from_enzymes_txt(self):
                              f"completeness, but should still appear in enzyme-related outputs (if those were requested). In case you are "
                              f"curious, here is one example: {example}")
 
-        # if cov/det columns are not in the file, we explicitly turn off flag to add this data to output
-        if self.add_coverage and 'coverage' not in enzyme_df.columns or 'detection' not in enzyme_df.columns:
-            self.run.warning("You requested coverage/detection values to be added to the output files, but your "
-                             "input file does not seem to contain either a 'coverage' column or a 'detection' column, or both. "
-                             "Since we don't have this data,/874 --add-coverage will not work, so we are turning this "
-                             "flag off. Sorry ¯\_(ツ)_/¯")
-            self.add_coverage = False
-            # remove coverage headers from the list so we don't try to access them later
-            kofam_hits_coverage_headers = [self.contigs_db_project_name + "_coverage", self.contigs_db_project_name + "_detection"]
-            modules_coverage_headers = [self.contigs_db_project_name + "_gene_coverages", self.contigs_db_project_name + "_avg_coverage",
-                                        self.contigs_db_project_name + "_gene_detection", self.contigs_db_project_name + "_avg_detection"]
-            for h in kofam_hits_coverage_headers:
-                self.available_modes["hits_in_modules"]["headers"].remove(h)
-                self.available_modes["hits"]["headers"].remove(h)
-            for h in modules_coverage_headers:
-                self.available_modes["modules"]["headers"].remove(h)
-
         return enzyme_df
 
 

From 5435d3ea2d0b1379a9eec282a161adfbbab6b649 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:44:33 +0000
Subject: [PATCH 0616/1020] Revert "fix whoopsies"

This reverts commit fa812284a8ec2baeebb99dba40e1d0d9272accff.
---
 anvio/kegg.py | 23 +++++++++--------------
 1 file changed, 9 insertions(+), 14 deletions(-)

diff --git a/anvio/kegg.py b/anvio/kegg.py
index dc5800cc29..576c41e929 100644
--- a/anvio/kegg.py
+++ b/anvio/kegg.py
@@ -1791,17 +1791,9 @@ def get_ko_metadata_dictionary(self, knum):
             mod_list_str = "None"
 
         if knum not in self.ko_dict:
-            if dont_fail_if_not_found:
-                self.run.warning(f"The enzyme {knum} was not found in the metabolism data, so we are unable to determine "
-                                 f"its functional annotation. You will see 'UNKNOWN' for this enzyme in any outputs describing "
-                                 f"its function.")
-                metadata_dict["enzyme_definition"] = "UNKNOWN"
-            else:
-                raise ConfigError("Something is mysteriously wrong. You are seeking metadata "
-                                  f"for enzyme {knum} but this enzyme is not in "
-                                  "the enzyme dictionary (self.ko_dict). This should never have happened.")
-        else:
-            metadata_dict["enzyme_definition"] = self.ko_dict[knum]['definition']
+            raise ConfigError("Something is mysteriously wrong. You are seeking metadata "
+                              f"for enzyme {knum} but this enzyme is not in "
+                              "the enzyme dictionary (self.ko_dict). This should never have happened.")
 
         metadata_dict = {}
         metadata_dict["enzyme_definition"] = self.ko_dict[knum]['definition']
@@ -1858,6 +1850,9 @@ def __init__(self, args, run=run, progress=progress):
                                         'description': "Name of genome/bin/metagenome in which we find KOfam hits and/or KEGG modules"
                                         }
 
+        if self.enzymes_txt:
+            self.contigs_db_project_name = basename(self.enzymes_txt).replace(".", "_")
+
         # INPUT OPTIONS SANITY CHECKS
         if not self.estimate_from_json and not self.contigs_db_path:
             raise ConfigError("NO INPUT PROVIDED. You must provide (at least) a contigs database or genomes file to this program, unless you are using the --estimate-from-json "
@@ -3249,9 +3244,9 @@ def estimate_metabolism_from_enzymes_txt(self):
         """
 
         kofam_gene_split_contig = []
-        # no splits or contigs here
-        for gene_call_id, ko in zip(self.enzymes_txt_data["gene_id"], self.enzymes_txt_data["enzyme_accession"]):
-            kofam_gene_split_contig.append((ko,gene_call_id,"NA","NA"))
+        # the splits and contigs here are fake
+        for gene_call_id, ko in zip(self.enzymes_txt_data["gene_id"], self.xfilter_data["enzyme_accession"]):
+            kofam_gene_split_contig.append((ko,gene_call_id,"s_000000000000","c_000000000000",))
 
         enzyme_metabolism_superdict = {}
         enzyme_ko_superdict = {}

From 473c863bdb3d77a9df0ba5de99c43338a94ba474 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:44:52 +0000
Subject: [PATCH 0617/1020] Revert "function to estimate from enzymes txt"

This reverts commit 35bbbd67f9e2dab502e269b24f89413045e141eb.
---
 anvio/kegg.py | 52 ++++-----------------------------------------------
 1 file changed, 4 insertions(+), 48 deletions(-)

diff --git a/anvio/kegg.py b/anvio/kegg.py
index 576c41e929..0bcdbc42dd 100644
--- a/anvio/kegg.py
+++ b/anvio/kegg.py
@@ -1850,9 +1850,6 @@ def __init__(self, args, run=run, progress=progress):
                                         'description': "Name of genome/bin/metagenome in which we find KOfam hits and/or KEGG modules"
                                         }
 
-        if self.enzymes_txt:
-            self.contigs_db_project_name = basename(self.enzymes_txt).replace(".", "_")
-
         # INPUT OPTIONS SANITY CHECKS
         if not self.estimate_from_json and not self.contigs_db_path:
             raise ConfigError("NO INPUT PROVIDED. You must provide (at least) a contigs database or genomes file to this program, unless you are using the --estimate-from-json "
@@ -2264,7 +2261,8 @@ def add_gene_coverage_to_headers_list(self):
 
         # obtain list of sample names
         if self.enzymes_txt: # for this input the sample name is just the name of the input file (dots converted to underscores)
-            samples_list.append(self.contigs_db_project_name)
+            input_file_name = basename(self.enzymes_txt).replace(".", "_")
+            samples_list.append(input_file_name)
 
         else:
             if not self.profile_db:
@@ -3223,50 +3221,6 @@ def load_data_from_enzymes_txt(self):
                              f"curious, here is one example: {example}")
 
         return enzyme_df
-
-
-    def estimate_metabolism_from_enzymes_txt(self):
-        """Estimates metabolism on a set of enzymes provided in a text file.
-
-        This function assumes that all enzymes in the file are coming from a single genome, and is effectively the
-        same as the estimate_for_genome() function.
-
-        Requires the self.enzymes_txt_data attribute to have been established (ie, by loading the self.enzymes_txt file).
-        We make fake splits and contigs to match the expected input to the atomic functions, and the contigs_db_project_name
-        attribute has been set (previously) to the name of the enzyme txt file
-
-        RETURNS
-        =======
-        enzyme_metabolism_superdict : dictionary of dictionary of dictionaries
-            dictionary mapping the name of the enzyme txt file to its metabolism completeness dictionary
-        enzyme_ko_superdict : dictionary of dictionary of dictionaries
-            maps the name of the enzyme txt file to its KOfam hit dictionary
-        """
-
-        kofam_gene_split_contig = []
-        # the splits and contigs here are fake
-        for gene_call_id, ko in zip(self.enzymes_txt_data["gene_id"], self.xfilter_data["enzyme_accession"]):
-            kofam_gene_split_contig.append((ko,gene_call_id,"s_000000000000","c_000000000000",))
-
-        enzyme_metabolism_superdict = {}
-        enzyme_ko_superdict = {}
-
-        metabolism_dict_for_genome,ko_dict_for_genome = self.mark_kos_present_for_list_of_splits(kofam_gene_split_contig,
-                                                                                                 bin_name=self.contigs_db_project_name)
-        if not self.store_json_without_estimation:
-            enzyme_metabolism_superdict[self.contigs_db_project_name] = self.estimate_for_list_of_splits(metabolism_dict_for_genome,
-                                                                                                         bin_name=self.contigs_db_project_name)
-            enzyme_ko_superdict[self.contigs_db_project_name] = ko_dict_for_genome
-        else:
-            enzyme_metabolism_superdict[self.contigs_db_project_name] = metabolism_dict_for_genome
-            enzyme_ko_superdict[self.contigs_db_project_name] = ko_dict_for_genome
-
-        # append to file
-        self.append_kegg_metabolism_superdicts(enzyme_metabolism_superdict, enzyme_ko_superdict)
-
-        return enzyme_metabolism_superdict, enzyme_ko_superdict
-
-
     def estimate_metabolism(self, skip_storing_data=False, output_files_dictionary=None, return_superdicts=False,
                             return_subset_for_matrix_format=False):
         """This is the driver function for estimating metabolism for a single contigs DB.
@@ -3335,6 +3289,8 @@ def estimate_metabolism(self, skip_storing_data=False, output_files_dictionary=N
                 kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_genome(kofam_hits_info)
             elif self.metagenome_mode:
                 kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_contigs_db_for_metagenome(kofam_hits_info)
+            if self.enzymes_txt:
+                self.enzymes_txt_data = self.load_data_from_enzymes_txt()
             else:
                 raise ConfigError("This class doesn't know how to deal with that yet :/")
 

From 31751d86843fa9deb94953b9a4d1abc4b6f03715 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 2 Mar 2022 21:45:13 +0000
Subject: [PATCH 0618/1020] Revert "update add_gene_coverage_to_headers_list to
 work with enzymes-txt input"

This reverts commit 32c3a8c023b129fb092ef7fec07bf18632a1dd6d.
---
 anvio/kegg.py | 90 +++++++--------------------------------------------
 1 file changed, 12 insertions(+), 78 deletions(-)

diff --git a/anvio/kegg.py b/anvio/kegg.py
index 0bcdbc42dd..aeb963fb5c 100644
--- a/anvio/kegg.py
+++ b/anvio/kegg.py
@@ -1888,13 +1888,16 @@ def __init__(self, args, run=run, progress=progress):
         if self.profile_db_path:
             utils.is_profile_db_and_contigs_db_compatible(self.profile_db_path, self.contigs_db_path)
 
-        if self.add_coverage and not self.profile_db_path:
-            raise ConfigError("Adding coverage values requires a profile database. Please provide one if you can. :)")
-        elif self.add_coverage and utils.is_blank_profile(self.profile_db_path):
-            raise ConfigError("You have provided a blank profile database, which sadly will not contain any coverage "
-                              "values, so the --add-coverage flag will not work.")
-        elif self.add_coverage:
+        if self.add_coverage and not self.enzymes_txt:
+            if not self.profile_db_path:
+                raise ConfigError("Adding coverage values requires a profile database. Please provide one if you can. :)")
+            if utils.is_blank_profile(self.profile_db_path):
+                raise ConfigError("You have provided a blank profile database, which sadly will not contain any coverage "
+                                  "values, so the --add-coverage flag will not work.")
+
             self.add_gene_coverage_to_headers_list()
+        elif self.add_coverage and self.enzymes_txt:
+            pass # FIXME add mock sample to headers list
 
         # output options sanity checks
         if anvio.DEBUG:
@@ -2259,17 +2262,9 @@ def add_gene_coverage_to_headers_list(self):
         be part of the available coverage/detection headers.
         """
 
-        # obtain list of sample names
-        if self.enzymes_txt: # for this input the sample name is just the name of the input file (dots converted to underscores)
-            input_file_name = basename(self.enzymes_txt).replace(".", "_")
-            samples_list.append(input_file_name)
-
-        else:
-            if not self.profile_db:
-                self.args.skip_consider_gene_dbs = True
-                self.profile_db = ProfileSuperclass(self.args)
-
-            samples_list = self.profile_db.p_meta['samples']
+        if not self.profile_db:
+            self.args.skip_consider_gene_dbs = True
+            self.profile_db = ProfileSuperclass(self.args)
 
         # first we get lists of all the headers we will need to add.
         # there will be one column per sample for both coverage and detection (for individual genes and for module averages)
@@ -3162,65 +3157,6 @@ def estimate_metabolism_from_json_data(self):
         return new_kegg_metabolism_superdict
 
 
-    def load_data_from_enzymes_txt(self):
-        """This function loads and sanity checks an enzymes txt file, and returns it as a pandas dataframe.
-
-        RETURNS
-        =======
-        enzyme_df : Pandas DataFrame
-            contains the information in the enzymes txt file
-        """
-
-        self.progress.new("Loading enzymes-txt file...")
-        expected_fields = ['gene_id', 'enzyme_accession', 'source']
-        enzyme_df = pd.read_csv(self.enzymes_txt, sep="\t")
-        self.progress.end()
-
-        self.run.info("Number of genes loaded from enzymes-txt file", enzyme_df.shape[0])
-
-        # sanity check for required columns
-        missing = []
-        for f in expected_fields:
-            if f not in enzyme_df.columns:
-                missing.append(f)
-        if missing:
-            miss_str = ", ".join(missing)
-            exp_str = ", ".join(expected_fields)
-            raise ConfigError(f"Your enzymes-txt file ({self.enzymes_txt}) is missing some required columns. "
-                              f"The columns it needs to have are: {exp_str}. And the missing column(s) include: {miss_str}")
-
-        # warning about extra columns
-        used_cols = expected_fields + ['coverage', 'detection']
-        extra_cols = []
-        for c in enzyme_df.columns:
-            if c not in used_cols:
-                extra_cols.append(c)
-        if extra_cols:
-            e_str = ", ".join(extra_cols)
-            self.run.warning("Just so you know, your input enzymes-txt file contained some columns of data that we are not "
-                             "going to use. This isn't an issue or anything, just an FYI. We're ignoring the following field(s): {e_str}")
-
-        # sanity check for unique gene ids
-        duplicates = list(enzyme_df[enzyme_df.duplicated(subset=['gene_id'])]['gene_id'].unique())
-        if duplicates:
-            if len(duplicates) > 5:
-                num = len(duplicates) - 1
-                dup_str = f"Here is one example (there are {num} others, but we didn't want to show them all): {duplicates[0]}"
-            else:
-                dup_str = f"Here are the duplicates: {', '.join(duplicates)}"
-            raise ConfigError(f"There are duplicate entries in the `gene_id` column of your enzymes-txt file. We require the values "
-                              f"in this column to be unique, so you'll have to modify (or remove) the duplicates. {dup_str} ")
-
-        # check and warning for enzymes not in self.all_kos_in_db
-        enzymes_not_in_modules = list(enzyme_df[~enzyme_df["enzyme_accession"].isin(self.all_kos_in_db.keys())]['enzyme_accession'].unique())
-        if enzymes_not_in_modules:
-            example = enzymes_not_in_modules[0]
-            self.run.warning(f"FYI, some enzymes in the 'enzyme_accession' column of your input enzymes-txt file do not belong to any "
-                             f"metabolic modules (that we know about). These enzymes will be ignored for the purposes of estimating module "
-                             f"completeness, but should still appear in enzyme-related outputs (if those were requested). In case you are "
-                             f"curious, here is one example: {example}")
-
-        return enzyme_df
     def estimate_metabolism(self, skip_storing_data=False, output_files_dictionary=None, return_superdicts=False,
                             return_subset_for_matrix_format=False):
         """This is the driver function for estimating metabolism for a single contigs DB.
@@ -3289,8 +3225,6 @@ def estimate_metabolism(self, skip_storing_data=False, output_files_dictionary=N
                 kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_genome(kofam_hits_info)
             elif self.metagenome_mode:
                 kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_contigs_db_for_metagenome(kofam_hits_info)
-            if self.enzymes_txt:
-                self.enzymes_txt_data = self.load_data_from_enzymes_txt()
             else:
                 raise ConfigError("This class doesn't know how to deal with that yet :/")
 

From 3d09eea3eaf2eacb939bbc40dcadef658e08e13d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 3 Mar 2022 20:38:38 +0000
Subject: [PATCH 0619/1020] adding back the most important line of code in the
 world (apparently)

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 61653da218..0ff12b2bc8 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -164,6 +164,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
     if (gene.start < ntStart) continue;
     if (gene.stop > ntStop) return;
     var geneObj = this.geneArrow(gene, geneID, y, genomeID, this.settings['display']['arrow-style']);
+    canvas.add(geneObj)
     canvas.bringToFront(geneObj);
 
     if (showGeneLabels) {

From 26b38f987cea74edf8b0440a404b8bfaf928e4dc Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 10 Mar 2022 18:50:18 +0000
Subject: [PATCH 0620/1020] fix

---
 anvio/data/interactive/js/genomeview/main.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 93487e8509..e157ca80e6 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -278,7 +278,7 @@ function processState(stateName, stateData) {
   }
 
   if (stateData.hasOwnProperty('metadata')) {
-    settings['display']['metadata'] = stateData['display']
+    settings['display']['metadata'] = stateData['display']['metadata']
   } else {
     settings['display']['metadata'] = []
   }

From 369393e40597b72e51991c5e10d3dde450ed8f19 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 10 Mar 2022 18:50:45 +0000
Subject: [PATCH 0621/1020] render metadata in deepdive

---
 anvio/data/interactive/js/genomeview/ui.js | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index c857aa772b..34add276da 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -295,13 +295,13 @@ function showDeepDiveToolTip(event){
   function getAndShowMetadata(){
     let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID )
     let totalMetadataString = String()
-    for (metadata in geneMetadata){
+    geneMetadata.map(metadata => {
       totalMetadataString += `
       <tr>
       <td>${metadata.label}</td>
       </tr>
       `
-    }
+    })
   }
 
   getAndShowMetadata()
@@ -348,6 +348,12 @@ function showDeepDiveToolTip(event){
       <br>
       <textarea id='metadata-gene-description' placeholder='metadata description'></textarea>
       <button   id='metadata-gene-description-add' type='button' class="btn btn-default btn-sm">add description</button>
+      <table class="table table-striped">
+      <thead>metadata</thead>
+      <tbody>
+      ${totalMetadataString}
+      </tbody>
+      </table>
   </div>
 
   <h2>Annotations</h2>;

From f721b9ebd6cc6b4eb5ede534f4dbb3c13885f53c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 10 Mar 2022 18:56:47 +0000
Subject: [PATCH 0622/1020] don't nest this

---
 anvio/data/interactive/js/genomeview/ui.js | 23 ++++++++++------------
 1 file changed, 10 insertions(+), 13 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 34add276da..3b35f3504c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -292,19 +292,15 @@ function showDeepDiveToolTip(event){
   let totalMetadataString = String()
   let totalAnnotationsString = String()
 
-  function getAndShowMetadata(){
-    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID )
-    let totalMetadataString = String()
-    geneMetadata.map(metadata => {
-      totalMetadataString += `
-      <tr>
-      <td>${metadata.label}</td>
-      </tr>
-      `
-    })
-  }
+  let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID )
+  geneMetadata.map(metadata => {
+    totalMetadataString += `
+    <tr>
+    <td>${metadata.label}</td>
+    </tr>
+    `
+  })
 
-  getAndShowMetadata()
   if(event.target.functions){
     Object.entries(event.target.functions).map(func => {
       totalAnnotationsString += `
@@ -348,8 +344,9 @@ function showDeepDiveToolTip(event){
       <br>
       <textarea id='metadata-gene-description' placeholder='metadata description'></textarea>
       <button   id='metadata-gene-description-add' type='button' class="btn btn-default btn-sm">add description</button>
+      <br>
       <table class="table table-striped">
-      <thead>metadata</thead>
+      <thead><th>metadata</th></thead>
       <tbody>
       ${totalMetadataString}
       </tbody>

From e887f945f118cc05fd8ad6d1847948dec52cfd6d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 11 Mar 2022 20:27:35 +0000
Subject: [PATCH 0623/1020] query seq metadata directly from deepdive tt

---
 .../data/interactive/js/genomeview/drawer.js  | 30 +++++++++++++++++++
 anvio/data/interactive/js/genomeview/ui.js    | 17 +++++++++--
 2 files changed, 44 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 0ff12b2bc8..918e0bef7d 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -758,6 +758,36 @@ GenomeDrawer.prototype.queryFunctions = function () {
   this.glowGenes(glowPayload)
 }
 
+GenomeDrawer.prototype.queryMetadata = function(metadataLabel){
+  let glowPayload = Array()
+  let foundInGenomes = Object()
+  let matches = settings['display']['metadata'].filter( m => m.label.includes(metadataLabel))
+  matches.map(metadata => {
+    glowPayload.push({
+      geneID: metadata.gene,
+      genomeID: metadata.genome
+    })
+    if (!(metadata.genome in foundInGenomes)) {
+      foundInGenomes[metadata.genome] = true
+    }
+  })
+  if (glowPayload.length < 1) {
+    alert(`No hits were found matching ${metadataLabel} in metadata`)
+    return
+  }
+  let lowestStart, highestEnd = null
+  glowPayload.map(gene => {
+    let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
+    let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
+    let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
+
+    if (start < lowestStart || lowestStart == null) lowestStart = start
+    if (end > highestEnd || highestEnd == null) highestEnd = end
+  })
+  zoomOut('partial', lowestStart, highestEnd)
+  this.glowGenes(glowPayload)
+}
+
 GenomeDrawer.prototype.setInitialZoom = function(){
     let start = 0
     let stop = genomeMax > 35000 ? 35000 : genomeMax
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 3b35f3504c..a6d08c9ff0 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -291,12 +291,17 @@ function showDeepDiveToolTip(event){
   $('#deepdive-tooltip-body').html('').hide()
   let totalMetadataString = String()
   let totalAnnotationsString = String()
+  let metadataLabel = String()
 
   let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID )
   geneMetadata.map(metadata => {
+    metadataLabel = metadata.label
+    let button = `<button type='button' id='metadata-query' class='btn btn-default btn-sm'>Query Sequence for matches</button>`
+
     totalMetadataString += `
     <tr>
     <td>${metadata.label}</td>
+    <td>${metadata.type == 'tag'? button : 'n/a'}</td>
     </tr>
     `
   })
@@ -346,7 +351,7 @@ function showDeepDiveToolTip(event){
       <button   id='metadata-gene-description-add' type='button' class="btn btn-default btn-sm">add description</button>
       <br>
       <table class="table table-striped">
-      <thead><th>metadata</th></thead>
+      <thead><th>metadata</th><th>action</th></thead>
       <tbody>
       ${totalMetadataString}
       </tbody>
@@ -364,6 +369,10 @@ function showDeepDiveToolTip(event){
   <button type="button" class="btn btn-default btn-sm" onClick="$('#deepdive-tooltip-body').html('').hide()">close</>
   `).css({'position' : 'absolute', 'left' : window.innerWidth/2 -200, 'top' : window.innerHeight/2 -200 }) // display deepdive tooltip roughly centered in viewport
 
+  $('#metadata-query').on('click', function(){
+    drawer.queryMetadata(metadataLabel)
+  })
+
   $('#gene-dna-sequence-button').on('click', function(){
     show_sequence_modal('DNA Sequence', settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence'])
   })
@@ -398,7 +407,8 @@ function showDeepDiveToolTip(event){
     let metadataObj = {
       label  : $('#metadata-gene-label').val(),
       genome : event.target.genomeID,
-      gene   : event.target.geneID
+      gene   : event.target.geneID,
+      type   : 'tag'
     }
     settings['display']['metadata'].push(metadataObj)
     $('#metadata-gene-label').val('')
@@ -407,7 +417,8 @@ function showDeepDiveToolTip(event){
     let metadataObj = {
       label  : $('#metadata-gene-description').val(),
       genome : event.target.genomeID,
-      gene   : event.target.geneID
+      gene   : event.target.geneID,
+      type   : 'description'
     }
     settings['display']['metadata'].push(metadataObj)
     $('#metadata-gene-description').val('')

From 2868f4ed08c1c78b22460a04dff70cba3305e183 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 11 Mar 2022 20:38:52 +0000
Subject: [PATCH 0624/1020] hook metadata searching into settings pane UI

---
 anvio/data/interactive/js/genomeview/drawer.js | 5 ++++-
 anvio/data/interactive/js/genomeview/ui.js     | 3 +++
 2 files changed, 7 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 918e0bef7d..fe3f7e2aa2 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -724,7 +724,10 @@ GenomeDrawer.prototype.queryFunctions = function () {
     alert('please provide values for function category and/or query')
     return
   }
-
+  if (category == 'metadata'){
+    drawer.queryMetadata(query)
+    return
+  }
   this.settings['genomeData']['genomes'].map(genome => {
     for (const [key, value] of Object.entries(genome[1]['genes']['functions'])) {
       if (value[category]?.[1].includes(query)) {
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index a6d08c9ff0..4aa60b850a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -958,4 +958,7 @@ function buildGeneLabelsSelect(){
     // we can also build the dropdown UI element for source-selection in functional querying
     $("#function_search_category").append(new Option(source, source))
   })
+  // while we're here, we add 'metadata' to the function_search_category dropdown select
+  // TODO refactor naming convention to sequence_search_category, bc we're not just querying functions!
+  $('#function_search_category').append(new Option('metadata', 'metadata'))
 }
\ No newline at end of file

From f6ba23066b9703a445d5d2457b5481b5f7d62abb Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Mon, 14 Mar 2022 16:37:19 +0100
Subject: [PATCH 0625/1020] this is not supposed to be here

---
 anvio/tests/genome-view.db | Bin 12288 -> 0 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 anvio/tests/genome-view.db

diff --git a/anvio/tests/genome-view.db b/anvio/tests/genome-view.db
deleted file mode 100644
index d303c5cb92ea5a3a627e7eb3d4fdc4430046f497..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 12288
zcmeI%!Aiq07zgmQopT@~UW$xeq9Sgvjdd-n2SKNdU3O7-5~O5n=89W8+Bn_Ocko$!
z0PjA4;9K|tW_ANTc=9&>AAD)PBz%S6E$!7sH;{r2qj<t4v&lBmG;+!qAta~LP`L_S
zO){%OJ+&Y6zot1-J9*EmU7ZdIeN_Vj0uX=z1Rwwb2tWV=5P$##Ah5Oq*ZSs8p`blc
z$@^oGNG?T^j>h?AyVYy6UhAyeX6YI$g?u8I6pymP22m(QD3{fkC(@flelQG#|Gic|
z*0MXMsokWl#dw&g)PJ{CE39-U=F2WKKE6-;mlt>QES(biNk8ZteWA~)KtKQj5P$##
zAOHafKmY;|fB*y_@GpVAtYIJAiZGf8Zx)CL&+mI9o{SbbupP(mH+{BY999Rh;4+9p
z&sQG{tftej>dl7h){b1)am|cT+)ukCow`-&)Eg@8ykYDT)o{k+fQQo5)hSiV`BbEb
ttBY4|X-1LGM4YJZ*5dxJe)=OI009U<00Izz00bZa0SG_<0uWeZfiG?5YSRD!


From b61a853b56338bd7cfbca051fa752f1c5c97fd06 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Mon, 14 Mar 2022 16:37:50 +0100
Subject: [PATCH 0626/1020] test file is generated in the test-output directory

---
 anvio/tests/run_genome_view.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/tests/run_genome_view.sh b/anvio/tests/run_genome_view.sh
index 8bd4175a87..ff18fec248 100755
--- a/anvio/tests/run_genome_view.sh
+++ b/anvio/tests/run_genome_view.sh
@@ -16,4 +16,4 @@ anvi-script-gen-genomes-file --input-dir $output_dir \
 
 INFO "Running genome view"
 anvi-display-genomes -e $output_dir/external-genomes.txt \
-                     -E genome-view.db
+                     -E $output_dir/genome-view.db

From abe725fb27b20e0eab07e6dc24a1fa6559b1bc29 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 14 Mar 2022 16:05:20 +0000
Subject: [PATCH 0627/1020] serialize metadata into state

---
 anvio/data/interactive/js/genomeview/main.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index e157ca80e6..8ad4e29a8d 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -219,6 +219,7 @@ function serializeSettings() {
     })
   })
 
+  state['display']['metadata'] = settings['display']['metadata']
   return state
 }
 

From 4234cb3e796494977cc30aeba470a6adbbfb0580 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 19 Mar 2022 16:15:01 -0500
Subject: [PATCH 0628/1020] fix arrow alignment

---
 .../data/interactive/js/genomeview/drawer.js  | 30 +++++++++++++++----
 1 file changed, 25 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index fe3f7e2aa2..a8f8b93aa0 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -463,16 +463,37 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
   var arrowPathStr;
   switch (parseInt(style)) {
     case 2: // thicker arrows
-      arrowPathStr = 'M ' + stemLength + ' -10 L 0 -10 L 0 20 L ' + stemLength + ' 20 L ' + stemLength + ' 20 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
+      arrowPathStr = `M ${stemLength} -10
+                      L 0 -10
+                      L 0 20
+                      L ${stemLength} 20
+                      L ${stemLength} 20
+                      L ${stemLength} 20
+                      L ${length} 5
+                      L ${stemLength} -10 z`;
       break;
     case 3: // pentagon arrows
-      arrowPathStr = 'M 0 0 L ' + stemLength + ' 0 L ' + length + ' 20 L ' + stemLength + ' 40 L 0 40 L 0 0 z';
+      arrowPathStr = `M 0 0
+                      L ${stemLength} 0
+                      L ${length} 20
+                      L ${stemLength} 40
+                      L 0 40
+                      L 0 0 z`;
       break;
     case 4: // rect arrows
-      arrowPathStr = 'M ' + length + ' -5 L 0 -5 L 0 15 L ' + length + ' 15 z';
+      arrowPathStr = `M ${length} -5
+                      L 0 -5
+                      L 0 15
+                      L ${length} 15 z`;
       break;
     default: // 'inspect page' arrows
-      arrowPathStr = 'M ' + stemLength + ' 0 L 0 0 L 0 15 L ' + stemLength + ' 15 L ' + stemLength + ' 15 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
+      arrowPathStr = `M ${stemLength} -2.5
+                      L 0 -2.5
+                      L 0 12.5
+                      L ${stemLength} 12.5
+                      L ${stemLength} 20
+                      L ${length} 5
+                      L ${stemLength} -10 z`;
       break;
   }
 
@@ -795,4 +816,3 @@ GenomeDrawer.prototype.setInitialZoom = function(){
     let start = 0
     let stop = genomeMax > 35000 ? 35000 : genomeMax
     zoomOut('partial', start, stop)
-}
\ No newline at end of file

From 6da8e7cc318dbeb0c4bf20a5861ad4cd1a5cd12c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 21 Mar 2022 21:26:04 +0000
Subject: [PATCH 0629/1020] metadata div appends new metadata

---
 anvio/data/interactive/js/genomeview/ui.js | 45 ++++++++++++++++------
 1 file changed, 33 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 4aa60b850a..b294bc118c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -292,19 +292,22 @@ function showDeepDiveToolTip(event){
   let totalMetadataString = String()
   let totalAnnotationsString = String()
   let metadataLabel = String()
+  let button = `<button type='button' id='metadata-query' class='btn btn-default btn-sm'>Query Sequence for matches</button>`
 
   let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID )
-  geneMetadata.map(metadata => {
-    metadataLabel = metadata.label
-    let button = `<button type='button' id='metadata-query' class='btn btn-default btn-sm'>Query Sequence for matches</button>`
-
-    totalMetadataString += `
-    <tr>
-    <td>${metadata.label}</td>
-    <td>${metadata.type == 'tag'? button : 'n/a'}</td>
-    </tr>
-    `
-  })
+  const createMetadataContent = () => {
+    geneMetadata.map(metadata => {
+      metadataLabel = metadata.label
+
+      totalMetadataString += `
+      <tr>
+      <td>${metadata.label}</td>
+      <td>${metadata.type == 'tag'? button : 'n/a'}</td>
+      </tr>
+      `
+    })
+  }
+  createMetadataContent()
 
   if(event.target.functions){
     Object.entries(event.target.functions).map(func => {
@@ -352,7 +355,7 @@ function showDeepDiveToolTip(event){
       <br>
       <table class="table table-striped">
       <thead><th>metadata</th><th>action</th></thead>
-      <tbody>
+      <tbody id="metadata-body">
       ${totalMetadataString}
       </tbody>
       </table>
@@ -412,6 +415,15 @@ function showDeepDiveToolTip(event){
     }
     settings['display']['metadata'].push(metadataObj)
     $('#metadata-gene-label').val('')
+    $('#metadata-body').append(`
+      <tr>
+        <td>${metadataObj.label}</td>
+        <td>${button}</td>
+      </tr>
+    `)
+    $('#metadata-query').on('click', function(){ // re-trigger listener for new DOM buttons
+      drawer.queryMetadata(metadataLabel)
+    })
   })
   $('#metadata-gene-description-add').on('click', function(){
     let metadataObj = {
@@ -422,6 +434,15 @@ function showDeepDiveToolTip(event){
     }
     settings['display']['metadata'].push(metadataObj)
     $('#metadata-gene-description').val('')
+    $('#metadata-body').append(`
+      <tr>
+        <td>${metadataObj.label}</td>
+        <td>n/a</td>
+      </tr>
+    `)
+    $('#metadata-query').on('click', function(){
+      drawer.queryMetadata(metadataLabel)
+    })
   })
 }
 

From b66e3e1523d61fe119f41dc1ad3187cb9be1c1bd Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 21 Mar 2022 22:06:48 +0000
Subject: [PATCH 0630/1020] remove holdover inspect page stuff

---
 anvio/data/interactive/genomeview.html | 42 ++------------------------
 1 file changed, 3 insertions(+), 39 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index e70107b6cb..05ab7ab0d0 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -407,48 +407,12 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
                             </tr>
                           </tbody>
                         </table>
-
-                        <span class="settings-header">Get Sequence for a Range or Selection</span>
-                        <p class="settings-section-info">Using your mouse, you can make regional selections through the panel at the bottom of the genome view screen. Through this section you can make more precise selections by explicitly defining a range, and can get sequences for individual genomes within the selected region or for the entire genome.</p>
-
-                        <div id="range-box"></div>
-                        <button type="button" class="btn btn-primary btn-xs" onclick="show_sequence_modal('Sequence', page_header + '\n' + sequence);">Get the entire split sequence</button><br />
-                        <button type="button" class="btn btn-primary btn-xs disabled btn-selection-sequence"  onclick="show_selected_sequence();" disabled>Get sequence of selected area</button><br />
-
-
-                        <span class="settings-header">Overlay GC Content</span>
-                        <p class="settings-section-info">GC content may explain some variation in coverage (<a href="http://merenlab.org/2016/12/14/coverage-variation/" target="_blank">more info on wavy coverage patterns</a>). Using this section you can overlay GC content signal on your mapping results. The GC content of the reference sequence calculated as the moving average of a 'sliding window' sampled every 'step size'.</p>
-                        <table id="gc-overlay" style="margin-bottom: 20px;">
-                          <tbody>
-                            <tr>
-                              <td>Sliding window size (nt):</td>
-                              <td><input type="text" class="form-control input-sm" id="gc_window_size" value="30"></td>
-                            </tr>
-                            <tr>
-                              <td>Step size:</td>
-                              <td><input type="text" class="form-control input-sm" id="gc_step_size" value="20"></td>
-                            </tr>
-                            <tr>
-                              <td>Color:</td>
-                              <td><div class="colorpicker" id="gc_overlay_color" color="#008000" style="background-color: #008000"></div></td>
-                            </tr>
-                          </tbody>
-                        </table>
-
-                        <button type="button" class="btn btn-primary btn-xs" onclick="applyOverlayGCContent();">Apply overlay</button>
-                        <button type="button" class="btn btn-primary btn-xs" onclick="resetOverlayGCContent();">Reset overlay</button>
-
-                        <span class="settings-header">Set/Reset Maximum Values</span>
-                        <p class="settings-section-info">The y-axis on the left hand-side of each plot is automatically sclaed per sample as a function of the maximum coverage value. Using this section you can change the y-axis maximum for each sample independently, or set a single value for all samples to make coverages more comparable.</p>
-                        <button type="button" class="btn btn-primary btn-xs" onclick="showSetMaxValuesDialog()" class="btn btn-outline-primary">Set maximum values</button><br />
-                        <button type="button" class="btn btn-primary btn-xs" onclick="resetMaxValues()" class="btn btn-outline-primary">Reset maximum values</button><br />
-
-                        <br><br>
+                        <span style="margin-bottom:600px"></span>
               </div>
 
               <div class="btn-group sidebar-footer" role="group" style="margin-top: 5px; padding-right: 20px; padding-bottom: 5px;">
-                <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 5px" onclick="showLoadStateWindow();" data-help="load-state-button" data-original-title="" title=""><span class="glyphicon glyphicon-floppy-open" aria-hidden="true"></span> Load State</button>
-                <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 5px" onclick="showSaveStateWindow();" data-help="save-state-button" disabled-in-read-only="true" data-original-title="" title=""><span class="glyphicon glyphicon-floppy-save" aria-hidden="true"></span> Save State</button>
+                <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 45px" onclick="showLoadStateWindow();" data-help="load-state-button" data-original-title="" title=""><span class="glyphicon glyphicon-floppy-open" aria-hidden="true"></span> Load State</button>
+                <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 45px" onclick="showSaveStateWindow();" data-help="save-state-button" disabled-in-read-only="true" data-original-title="" title=""><span class="glyphicon glyphicon-floppy-save" aria-hidden="true"></span> Save State</button>
               </div>
             </div>
 

From bc31fbf05ad683c899a8490ce084f9e68ab40685 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 22 Mar 2022 13:42:23 +0000
Subject: [PATCH 0631/1020] don't clear out bookmarks select

---
 anvio/data/interactive/js/genomeview/ui.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index b294bc118c..ed1b33c724 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -742,7 +742,6 @@ function createBookmark(){
     toastr.success('bookmark successfully created :)')
     $('#create_bookmark_input').val('')
     $('#create_bookmark_description').val('')
-    $('#bookmarks-select').empty()
 
     settings['display']['bookmarks'].map(bookmark => {
       $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))

From b5aee7384b366bf50266df1c300bc1f1f72ea4a4 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 22 Mar 2022 13:56:16 +0000
Subject: [PATCH 0632/1020] actually DO empty select, but add back default
 option

---
 anvio/data/interactive/js/genomeview/ui.js | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index ed1b33c724..c9cfae43b9 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -742,6 +742,8 @@ function createBookmark(){
     toastr.success('bookmark successfully created :)')
     $('#create_bookmark_input').val('')
     $('#create_bookmark_description').val('')
+    $('#bookmarks-select').empty()
+    $('#bookmarks-select').prepend('<option>Bookmarks</option>')
 
     settings['display']['bookmarks'].map(bookmark => {
       $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
@@ -757,6 +759,7 @@ function createBookmark(){
 function respondToBookmarkSelect(){
   $('#bookmarks-select').change(function(e){
     let [start, stop] = [$(this).val().split(',')[0], $(this).val().split(',')[1] ]
+    if(!stop)return // edge case for empty 'Bookmarks' placeholder select value
     $('#brush_start').val(start);
     $('#brush_end').val(stop);
     try {

From 44321d0084aa6ce49c5a78eabfd82df9b1f4bc2a Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 24 Mar 2022 14:36:45 -0500
Subject: [PATCH 0633/1020] fix

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index d064c21815..b6cfa34705 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -502,7 +502,7 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
     id: 'arrow',
     groupID: genomeID,
     lockMovementY: true,
-    selectable: false,
+    selectable: true,
     hasControls: false,
     hasBorders: false,
     lockScaling: true,

From f3cd5bd186480db970241c09279d4f0d958c7be1 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Sat, 26 Mar 2022 22:26:00 +0000
Subject: [PATCH 0634/1020] on query, don't zoom in small sequences

---
 .../data/interactive/js/genomeview/drawer.js  | 41 +++++++++++--------
 1 file changed, 25 insertions(+), 16 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index b6cfa34705..abe84110a6 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -768,14 +768,18 @@ GenomeDrawer.prototype.queryFunctions = function () {
     return
   }
   let lowestStart, highestEnd = null
-  glowPayload.map(gene => {
-    let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
-    let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
-    let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
-
-    if (start < lowestStart || lowestStart == null) lowestStart = start
-    if (end > highestEnd || highestEnd == null) highestEnd = end
-  })
+  if(genomeMax < 35000){
+    glowPayload.map(gene => {
+      let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
+      let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
+      let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
+      if (start < lowestStart || lowestStart == null) lowestStart = start
+      if (end > highestEnd || highestEnd == null) highestEnd = end
+    })
+  } else {
+    lowestStart = 0
+    highestEnd = genomeMax
+  }
 
   $('#function-query-results-statement').text(`Retreived ${glowPayload.length} hit(s) from ${Object.keys(foundInGenomes).length} genomes`)
   zoomOut('partial', lowestStart, highestEnd)
@@ -800,14 +804,19 @@ GenomeDrawer.prototype.queryMetadata = function(metadataLabel){
     return
   }
   let lowestStart, highestEnd = null
-  glowPayload.map(gene => {
-    let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
-    let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
-    let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
-
-    if (start < lowestStart || lowestStart == null) lowestStart = start
-    if (end > highestEnd || highestEnd == null) highestEnd = end
-  })
+  if genomeMax > 35000 {
+    glowPayload.map(gene => {
+      let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
+      let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
+      let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
+
+      if (start < lowestStart || lowestStart == null) lowestStart = start
+      if (end > highestEnd || highestEnd == null) highestEnd = end
+    })
+  } else {
+    lowestStart = 0
+    highestEnd = genomeMax
+  }
   zoomOut('partial', lowestStart, highestEnd)
   this.glowGenes(glowPayload)
 }

From 0f2e5e18663f873b35d452e24870a415b750c121 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Sat, 26 Mar 2022 22:40:19 +0000
Subject: [PATCH 0635/1020] fix

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index abe84110a6..0ffcfd30cb 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -804,7 +804,7 @@ GenomeDrawer.prototype.queryMetadata = function(metadataLabel){
     return
   }
   let lowestStart, highestEnd = null
-  if genomeMax > 35000 {
+  if (genomeMax > 35000) {
     glowPayload.map(gene => {
       let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
       let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']

From 6b8f9e052fa1308436216eea1b7bf3be8c31245b Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Sat, 26 Mar 2022 22:40:43 +0000
Subject: [PATCH 0636/1020] dblclick outside tooltip to close

---
 anvio/data/interactive/js/genomeview/ui.js | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index c9cfae43b9..63b78666b4 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -287,6 +287,14 @@ function setEventListeners(){
   })
 }
 function showDeepDiveToolTip(event){
+
+  $('.canvas-container').dblclick(function(){
+    if($("#deepdive-tooltip-body").is(":visible")){
+      $("#deepdive-tooltip-body").hide()
+    }
+    console.log('beep');
+  })
+
   $('#tooltip-body').html('').hide() // empty out & hide any previous tooltip instances
   $('#deepdive-tooltip-body').html('').hide()
   let totalMetadataString = String()

From 3547ac82b46eac43de3de7b7a04ff3b83fae09eb Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Sat, 26 Mar 2022 22:45:58 +0000
Subject: [PATCH 0637/1020] genomeview-db is required, right?

---
 anvio/__init__.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/__init__.py b/anvio/__init__.py
index 6cdac8fb3c..a470009998 100644
--- a/anvio/__init__.py
+++ b/anvio/__init__.py
@@ -139,7 +139,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
     'genome-view-db': (
             ['-E', '--genome-view-db'],
             {'metavar': "GENOME_VIEW_DB",
-             'required': False,
+             'required': True,
              'help': "Anvi'o genome view database."}
                 ),
     'only-if-structure': (

From 33a1f55a62a7ba47b4799dd67054684f8938560f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Sat, 26 Mar 2022 23:09:22 +0000
Subject: [PATCH 0638/1020] populate results table for query hits

---
 anvio/data/interactive/genomeview.html         | 12 ++++++++++++
 anvio/data/interactive/js/genomeview/drawer.js | 17 +++++++++++++++--
 2 files changed, 27 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 05ab7ab0d0..f6f1fbde26 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -124,10 +124,22 @@
                               <td>
                                 <button onclick='drawer.queryFunctions()'>Let's Go!</button>
                               </td>
+                              <br>
                               <td><p id='function-query-results-statement'></p></td>
                             </tr>
                           </tbody>
                         </table>
+                        <table class="table table-striped" style="width: 100%; text-align: center;">
+                          <thead>
+                            <th>Gene ID</th>
+                            <th>Genome</th>
+                            <th>Start</th>
+                            <th>Stop</th>
+                            <th>Action</th>
+                          </thead>
+                          <tbody id="query-results-table">
+                          </tbody>
+                        </table>
 
                         <span class="settings-header">Genomes</span>
 
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 0ffcfd30cb..f4906eeeeb 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -768,13 +768,24 @@ GenomeDrawer.prototype.queryFunctions = function () {
     return
   }
   let lowestStart, highestEnd = null
-  if(genomeMax < 35000){
+  if(genomeMax > 35000){
     glowPayload.map(gene => {
       let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
       let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
       let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
+      gene['start'] = start
+      gene['stop'] = end
       if (start < lowestStart || lowestStart == null) lowestStart = start
       if (end > highestEnd || highestEnd == null) highestEnd = end
+      $('#query-results-table').append(`
+        <tr>
+          <td>${gene['geneID']}</td>
+          <td>${gene['genomeID']}</td>
+          <td>${gene['start']}</td>
+          <td>${gene['stop']}</td>
+          <td><button onclick="zoomOut('partial', ${gene['start']}, ${gene['stop']})">go to</button</td>
+        </tr>
+      `)
     })
   } else {
     lowestStart = 0
@@ -783,6 +794,7 @@ GenomeDrawer.prototype.queryFunctions = function () {
 
   $('#function-query-results-statement').text(`Retreived ${glowPayload.length} hit(s) from ${Object.keys(foundInGenomes).length} genomes`)
   zoomOut('partial', lowestStart, highestEnd)
+  console.log(glowPayload);
   this.glowGenes(glowPayload)
 }
 
@@ -809,7 +821,8 @@ GenomeDrawer.prototype.queryMetadata = function(metadataLabel){
       let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
       let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
       let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
-
+      gene['start'] = start
+      gene['stop'] = end
       if (start < lowestStart || lowestStart == null) lowestStart = start
       if (end > highestEnd || highestEnd == null) highestEnd = end
     })

From c0a5a5274d4bc5f45e468535691dd70d06b97125 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Sat, 26 Mar 2022 23:10:45 +0000
Subject: [PATCH 0639/1020] build metadata table for query hits

---
 anvio/data/interactive/js/genomeview/drawer.js | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index f4906eeeeb..cea727bfcc 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -825,6 +825,15 @@ GenomeDrawer.prototype.queryMetadata = function(metadataLabel){
       gene['stop'] = end
       if (start < lowestStart || lowestStart == null) lowestStart = start
       if (end > highestEnd || highestEnd == null) highestEnd = end
+      $('#query-results-table').append(`
+        <tr>
+          <td>${gene['geneID']}</td>
+          <td>${gene['genomeID']}</td>
+          <td>${gene['start']}</td>
+          <td>${gene['stop']}</td>
+          <td><button onclick="zoomOut('partial', ${gene['start']}, ${gene['stop']})">go to</button</td>
+        </tr>
+      `)
     })
   } else {
     lowestStart = 0

From 57f249d0b5ace951427c8766fea593ba9136405f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Sat, 26 Mar 2022 23:17:22 +0000
Subject: [PATCH 0640/1020] clean

---
 anvio/data/interactive/js/genomeview/drawer.js | 16 ++++++----------
 anvio/data/interactive/js/genomeview/ui.js     |  1 -
 2 files changed, 6 insertions(+), 11 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index cea727bfcc..db484c3635 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -773,17 +773,15 @@ GenomeDrawer.prototype.queryFunctions = function () {
       let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
       let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
       let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
-      gene['start'] = start
-      gene['stop'] = end
       if (start < lowestStart || lowestStart == null) lowestStart = start
       if (end > highestEnd || highestEnd == null) highestEnd = end
       $('#query-results-table').append(`
         <tr>
           <td>${gene['geneID']}</td>
           <td>${gene['genomeID']}</td>
-          <td>${gene['start']}</td>
-          <td>${gene['stop']}</td>
-          <td><button onclick="zoomOut('partial', ${gene['start']}, ${gene['stop']})">go to</button</td>
+          <td>${start}</td>
+          <td>${end}</td>
+          <td><button onclick="zoomOut('partial', ${start}, ${end})">go to</button</td>
         </tr>
       `)
     })
@@ -821,17 +819,15 @@ GenomeDrawer.prototype.queryMetadata = function(metadataLabel){
       let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
       let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
       let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
-      gene['start'] = start
-      gene['stop'] = end
       if (start < lowestStart || lowestStart == null) lowestStart = start
       if (end > highestEnd || highestEnd == null) highestEnd = end
       $('#query-results-table').append(`
         <tr>
           <td>${gene['geneID']}</td>
           <td>${gene['genomeID']}</td>
-          <td>${gene['start']}</td>
-          <td>${gene['stop']}</td>
-          <td><button onclick="zoomOut('partial', ${gene['start']}, ${gene['stop']})">go to</button</td>
+          <td>${start}</td>
+          <td>${end}</td>
+          <td><button onclick="zoomOut('partial', ${start}, ${end})">go to</button</td>
         </tr>
       `)
     })
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 63b78666b4..bcd7816b13 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -292,7 +292,6 @@ function showDeepDiveToolTip(event){
     if($("#deepdive-tooltip-body").is(":visible")){
       $("#deepdive-tooltip-body").hide()
     }
-    console.log('beep');
   })
 
   $('#tooltip-body').html('').hide() // empty out & hide any previous tooltip instances

From a6a7414dc22ed4caed1c92c82cccfeca18a2ce5c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Sat, 26 Mar 2022 23:44:13 +0000
Subject: [PATCH 0641/1020] set gene arrow color from tooltip, save to settings

---
 anvio/data/interactive/js/genomeview/ui.js | 38 +++++++++++++++++++---
 1 file changed, 33 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index bcd7816b13..7f049a9cec 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -352,7 +352,11 @@ function showDeepDiveToolTip(event){
   <button type="button" id="gene-blastx-at-refseq-button" class="btn btn-default btn-sm">blastx @ refseq_genomic</button>
 
   <br>
-  <h2>metadata<h2/>
+  <h2>color</h2>
+  <div id="picker_tooltip" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div>
+  <p>set gene arrow color</p>
+  <br>
+  <h2>metadata</h2>
   <div id='metadata-container'>
       <input    id='metadata-gene-label' type='text' placeholder='metadata tag'>
       <button   id='metadata-gene-label-add' type='button' class="btn btn-default btn-sm">add tag</button>
@@ -361,10 +365,10 @@ function showDeepDiveToolTip(event){
       <button   id='metadata-gene-description-add' type='button' class="btn btn-default btn-sm">add description</button>
       <br>
       <table class="table table-striped">
-      <thead><th>metadata</th><th>action</th></thead>
-      <tbody id="metadata-body">
-      ${totalMetadataString}
-      </tbody>
+        <thead><th>metadata</th><th>action</th></thead>
+        <tbody id="metadata-body">
+         ${totalMetadataString}
+        </tbody>
       </table>
   </div>
 
@@ -451,6 +455,30 @@ function showDeepDiveToolTip(event){
       drawer.queryMetadata(metadataLabel)
     })
   })
+  $('#picker_tooltip').colpick({
+    layout: 'hex',
+    submit: 0,
+    colorScheme: 'light',
+    onChange: function(hsb, hex, rgb, el, bySetColor) {
+        $(el).css('background-color', '#' + hex);
+        $(el).attr('color', '#' + hex);
+        if (!bySetColor) $(el).val(hex);
+        let gene = canvas.getObjects().find(obj => obj.id == 'arrow' &&
+                       event.target.genomeID == obj.genomeID &&
+                       event.target.geneID == obj.geneID);
+        gene.fill = `#${hex}`
+        gene.dirty = true
+        if(!settings['display']['colors']['genes']?.[event.target.genomeID]?.[event.target.geneID]){
+          settings['display']['colors']['genes'][event.target.genomeID] = []
+          settings['display']['colors']['genes'][event.target.genomeID][event.target.geneID] = `#${hex}`
+        } else {
+          settings['display']['colors']['genes'][event.target.genomeID][event.target.geneID] = `#${hex}`
+        }
+        canvas.renderAll()
+    }
+  }).keyup(function() {
+      $(this).colpickSetColor(this.value);
+  });
 }
 
 function showToolTip(event){

From 12eb853399acbbbb4a3582eed1a0c4398706143c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 28 Mar 2022 22:14:33 +0000
Subject: [PATCH 0642/1020] clear query results table before each run

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index db484c3635..74376cb8e2 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -736,6 +736,7 @@ GenomeDrawer.prototype.adjustScaleInterval = function () {
 }
 
 GenomeDrawer.prototype.queryFunctions = function () {
+  $('#query-results-table').empty()
   let query = $('#function_search_query').val()
   let category = $('#function_search_category').val()
   let glowPayload = []
@@ -797,6 +798,7 @@ GenomeDrawer.prototype.queryFunctions = function () {
 }
 
 GenomeDrawer.prototype.queryMetadata = function(metadataLabel){
+  $('#query-results-table').empty()
   let glowPayload = Array()
   let foundInGenomes = Object()
   let matches = settings['display']['metadata'].filter( m => m.label.includes(metadataLabel))

From ae8f2e529723794b443f5b82c73cbc929d744d69 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 28 Mar 2022 22:39:18 +0000
Subject: [PATCH 0643/1020] query against annotation AND accession

---
 anvio/data/interactive/js/genomeview/drawer.js | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 74376cb8e2..dbceca0f5e 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -752,7 +752,8 @@ GenomeDrawer.prototype.queryFunctions = function () {
   }
   this.settings['genomeData']['genomes'].map(genome => {
     for (const [key, value] of Object.entries(genome[1]['genes']['functions'])) {
-      if (value[category]?.[1].includes(query)) {
+      console.log(key, value);
+      if (value[category]?.[0].includes(query) || value[category]?.[1].includes(query)) {
         let glowObject = {
           genomeID: genome[0],
           geneID: key

From 10743f613dc356392f972473ae9b90e69d9200ab Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 29 Mar 2022 14:59:13 +0000
Subject: [PATCH 0644/1020] reasonable max-width for tooltips

---
 anvio/data/interactive/js/genomeview/ui.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 7f049a9cec..174f63c6da 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -381,7 +381,7 @@ function showDeepDiveToolTip(event){
   ${totalAnnotationsString}
   </tbody></table>;
   <button type="button" class="btn btn-default btn-sm" onClick="$('#deepdive-tooltip-body').html('').hide()">close</>
-  `).css({'position' : 'absolute', 'left' : window.innerWidth/2 -200, 'top' : window.innerHeight/2 -200 }) // display deepdive tooltip roughly centered in viewport
+  `).css({'position' : 'absolute', 'left' : window.innerWidth/2 -200, 'top' : window.innerHeight/2 -200, 'max-width': '600px'}) // display deepdive tooltip roughly centered in viewport
 
   $('#metadata-query').on('click', function(){
     drawer.queryMetadata(metadataLabel)
@@ -519,7 +519,7 @@ function showToolTip(event){
     ${totalAnnotationsString}
     </tbody></table>
 
-    `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
+    `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY, 'max-width': '600px' })
 }
 
 function show_sequence_modal(title, content) {

From cc460739386ad1c2048f10428923830152ba1c9a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 6 Apr 2022 22:25:45 +0000
Subject: [PATCH 0645/1020] hook in right-panel jquery logic

---
 anvio/data/interactive/js/genomeview/utils.js | 36 +++++++++++++++++++
 1 file changed, 36 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 423aa255fb..0497e6aef5 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -332,3 +332,39 @@ function saveState()
         }
     });
 }
+
+function toggleRightPanel(name) {
+  ['#mouseover_panel', '#settings-panel', '#query-panel'].forEach(function(right_panel) {
+      if (right_panel == name)
+          return;
+
+      $(right_panel).hide();
+  });
+  console.log(name);
+  $(name).toggle();
+
+  if ($('#mouseover_panel').is(':visible')) {
+      $('#toggle-panel-mouseover').addClass('toggle-panel-right-pos');
+      $('#toggle-panel-mouseover-inner').html('&#9658;');
+  } else {
+      $('#toggle-panel-mouseover').removeClass('toggle-panel-right-pos');
+      $('#toggle-panel-mouseover-inner').html('&#9664;');
+  }
+
+  if ($('#settings-panel').is(':visible')) {
+      $('#toggle-panel-settings').addClass('toggle-panel-right-pos-2');
+      $('#toggle-panel-settings-inner').html('&#9658;');
+  } else {
+      $('#toggle-panel-settings').removeClass('toggle-panel-right-pos-2');
+      $('#toggle-panel-settings').html('&#9664;');
+  }
+
+  if ($('#query-panel').is(':visible')) {
+      $('#toggle-panel-query').addClass('toggle-panel-right-pos-3');
+      $('#toggle-panel-query-inner').html('&#9658;');
+  } else {
+      $('#toggle-panel-query').removeClass('toggle-panel-right-pos-3');
+      $('#toggle-panel-query-inner').html('&#9664;');
+  }
+}
+

From 3219f1adcb34e964509af59cb29d993c524fdd22 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 6 Apr 2022 22:26:00 +0000
Subject: [PATCH 0646/1020] panel tab styling

---
 anvio/data/interactive/css/genomeview.css | 29 +++++++++++++++++++++++
 1 file changed, 29 insertions(+)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index a32572155f..0222705a9b 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -75,6 +75,35 @@ g.scale rect.background{
     right: 0px;
     z-index: 999;
 }
+#toggle-panel-query {
+    position: fixed;
+    height: 100px;
+    width: 15px;
+    background-color: #EEEEEE;
+    border: solid 1px #DDDDDD;
+    top: calc(55%);
+    border-radius: 10px 0px 0px 10px;
+    cursor: pointer;
+    font-size: 10px;
+    padding-top: 14px;
+    right: 0px;
+    z-index: 999;
+}
+
+#toggle-panel-mouseover {
+    position: fixed;
+    height: 100px;
+    width: 15px;
+    background-color: #EEEEEE;
+    border: solid 1px #DDDDDD;
+    top: calc(70%);
+    border-radius: 10px 0px 0px 10px;
+    cursor: pointer;
+    font-size: 10px;
+    padding-top: 14px;
+    right: 0px;
+    z-index: 999;
+}
 
 #settings-panel {
   	display: none;

From 1f79ab465130504fa4f8cc43c7bbd7646d4b6c24 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 6 Apr 2022 22:26:30 +0000
Subject: [PATCH 0647/1020] format doc, add additional panels

---
 anvio/data/interactive/genomeview.html | 1007 +++++++++++++-----------
 1 file changed, 557 insertions(+), 450 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index f6f1fbde26..f6ea10b4c4 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -1,484 +1,591 @@
 <!DOCTYPE html>
 <html lang="en">
-    <head>
-        <title id="window-title">Genome View</title>
-        <meta name="google" value="notranslate">
-        <meta charset="UTF-8" />
 
-        <link href="lib/jquery-ui/themes/base/all.css" rel="stylesheet">
-        <link rel="stylesheet" href="lib/toastr/build/toastr.min.css" type="text/css" />
-        <link rel="stylesheet" href="lib/bootstrap/dist/css/bootstrap.min.css" onerror='alertDependencyError("bootstrap")' />
-        <link rel="stylesheet" href="lib/colpick/colpick.css" type="text/css" onerror='alertDependencyError("colpick-css")'/>
-        <link rel="stylesheet" type="text/css" href="./css/genomeview.css" />
-        <!-- main css file imported for color picker functionality -->
-        <link rel="stylesheet" type="text/css" href="./css/main.css" />
-        <link rel="stylesheet" type="text/css" href="css/loading.css" />
+<head>
+  <title id="window-title">Genome View</title>
+  <meta name="google" value="notranslate">
+  <meta charset="UTF-8" />
 
-        <link rel="shortcut icon" href="#">
+  <link href="lib/jquery-ui/themes/base/all.css" rel="stylesheet">
+  <link rel="stylesheet" href="lib/toastr/build/toastr.min.css" type="text/css" />
+  <link rel="stylesheet" href="lib/bootstrap/dist/css/bootstrap.min.css" onerror='alertDependencyError("bootstrap")' />
+  <link rel="stylesheet" href="lib/colpick/colpick.css" type="text/css" onerror='alertDependencyError("colpick-css")' />
+  <link rel="stylesheet" type="text/css" href="./css/genomeview.css" />
+  <!-- main css file imported for color picker functionality -->
+  <link rel="stylesheet" type="text/css" href="./css/main.css" />
+  <link rel="stylesheet" type="text/css" href="css/loading.css" />
 
-        <script type="text/javascript" src="js/error.js"></script>
+  <link rel="shortcut icon" href="#">
 
-        <script type="text/javascript" src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js" onerror='alertDependencyError("jquery-core")'></script>
-        <script type="text/javascript" src="lib/bootstrap/dist/js/bootstrap.min.js" onerror='alertDependencyError("bootstrap-core")'></script>
-        <script type="text/javascript" src="./lib/fabric/dist/fabric.js" onerror='alertDependencyError("fabric")'></script>
-        <script type="text/javascript" src="lib/d3.js/d3.min.js" onerror='alertDependencyError("d3")'></script>
-        <script type="text/javascript" src="lib/jquery-svgpan/jquery-svgpan.js" onerror='alertDependencyError("jquery-svg")'></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/core.js" onerror='alertDependencyError("jquery-core")'></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/widget.js" onerror='alertDependencyError("jquery-widget")'></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/mouse.js" onerror='alertDependencyError("jquery-mouse")'></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/sortable.js" onerror='alertDependencyError("jquery-sortable")'></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/draggable.js" onerror='alertDependencyError("jquery-draggable")'></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/accordion.js" onerror='alertDependencyError("jquery-accordian")'></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/resizable.js" onerror='alertDependencyError("jquery-resizable")'></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/button.js" onerror='alertDependencyError("jquery-button")'></script>
-        <script type="text/javascript" src="lib/jquery-ui/ui/position.js" onerror='alertDependencyError("jquery-position")'></script>
-        <script type="text/javascript" src="lib/toastr/build/toastr.min.js" onerror='alertDependencyError("toastr")'></script>
-        <script type="text/javascript" src="lib/colpick/colpick.js" onerror='alertDependencyError("colpick", true)' onload='alertDependencyError(null, true)'></script>
+  <script type="text/javascript" src="js/error.js"></script>
 
-        <script type="text/javascript" src="./js/constants.js"></script>
-        <script type="text/javascript" src="./js/utils.js"></script>
-        <script type="text/javascript" src="./js/genomeview/main.js"></script>
-        <script type="text/javascript" src="./js/genomeview/drawer.js"></script>
-        <script type="text/javascript" src="./js/genomeview/navigation.js"></script>
-        <script type="text/javascript" src="./js/genomeview/test.js"></script>
-        <script type="text/javascript" src="./js/genomeview/ui.js"></script>
-        <script type="text/javascript" src="./js/genomeview/utils.js"></script>
+  <script type="text/javascript" src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"
+    onerror='alertDependencyError("jquery-core")'></script>
+  <script type="text/javascript" src="lib/bootstrap/dist/js/bootstrap.min.js"
+    onerror='alertDependencyError("bootstrap-core")'></script>
+  <script type="text/javascript" src="./lib/fabric/dist/fabric.js" onerror='alertDependencyError("fabric")'></script>
+  <script type="text/javascript" src="lib/d3.js/d3.min.js" onerror='alertDependencyError("d3")'></script>
+  <script type="text/javascript" src="lib/jquery-svgpan/jquery-svgpan.js"
+    onerror='alertDependencyError("jquery-svg")'></script>
+  <script type="text/javascript" src="lib/jquery-ui/ui/core.js" onerror='alertDependencyError("jquery-core")'></script>
+  <script type="text/javascript" src="lib/jquery-ui/ui/widget.js"
+    onerror='alertDependencyError("jquery-widget")'></script>
+  <script type="text/javascript" src="lib/jquery-ui/ui/mouse.js"
+    onerror='alertDependencyError("jquery-mouse")'></script>
+  <script type="text/javascript" src="lib/jquery-ui/ui/sortable.js"
+    onerror='alertDependencyError("jquery-sortable")'></script>
+  <script type="text/javascript" src="lib/jquery-ui/ui/draggable.js"
+    onerror='alertDependencyError("jquery-draggable")'></script>
+  <script type="text/javascript" src="lib/jquery-ui/ui/accordion.js"
+    onerror='alertDependencyError("jquery-accordian")'></script>
+  <script type="text/javascript" src="lib/jquery-ui/ui/resizable.js"
+    onerror='alertDependencyError("jquery-resizable")'></script>
+  <script type="text/javascript" src="lib/jquery-ui/ui/button.js"
+    onerror='alertDependencyError("jquery-button")'></script>
+  <script type="text/javascript" src="lib/jquery-ui/ui/position.js"
+    onerror='alertDependencyError("jquery-position")'></script>
+  <script type="text/javascript" src="lib/toastr/build/toastr.min.js" onerror='alertDependencyError("toastr")'></script>
+  <script type="text/javascript" src="lib/colpick/colpick.js" onerror='alertDependencyError("colpick", true)'
+    onload='alertDependencyError(null, true)'></script>
 
-    </head>
-    <body>
-        <div class="loading-screen">
-          <div class="spinner-container">
-              <div class="loader"></div>
-              <br />Loading...
-          </div>
-        </div>
-        <div class="container">
-            <div id='labelAndMainContainer'>
-              <canvas id="myCanvas" height="700px"></canvas>
-            </div>
-            <div id='scaleContainer'>
-              <div id="scaleBox" height="140px">
-                <svg id="scaleSvg" height="120px"></svg>
-              </div>
-              <button id="zoom-out" onclick="zoomOut()" style="float:right">-</button>
-              <button id="zoom-in" onclick="zoomIn()" style="float:right; margin-right:5px">+</button>
-              <input type="text" class="form-control input-sm" id="brush_start" style= "width: 60px; float:left; margin-right:10px" value="0"></input>
-              <input type="text" class="form-control input-sm" id="brush_end" style= "width: 60px; float:left" value="0"></input>
-              <select id='bookmarks-select' style= "width: 120px; float:left; margin-left:10px">
-                <option selected="true" disabled="disabled">Bookmarks</option>
-              </select>
-              <p id='bookmark-description' style= "width: 300px; float:left; margin-left:10px; font-size: large;"></p>
-            </div>
-            <div id='tooltip-body' display='none'></div>
-            <div id='deepdive-tooltip-body' display='none'></div>
-            <div id='lasso-menu-body' display='none'></div>
+  <script type="text/javascript" src="./js/constants.js"></script>
+  <script type="text/javascript" src="./js/utils.js"></script>
+  <script type="text/javascript" src="./js/genomeview/main.js"></script>
+  <script type="text/javascript" src="./js/genomeview/drawer.js"></script>
+  <script type="text/javascript" src="./js/genomeview/navigation.js"></script>
+  <script type="text/javascript" src="./js/genomeview/test.js"></script>
+  <script type="text/javascript" src="./js/genomeview/ui.js"></script>
+  <script type="text/javascript" src="./js/genomeview/utils.js"></script>
 
-            <div id="toggle-panel-settings" onclick="toggleSettingsPanel()">
-              <span id="toggle-panel-settings-inner">&#9664;</span><span style="display: block; font-size: 11px; transform: rotate(90deg);"><u>S</u>ETTINGS</span>
-            </div>
+</head>
+
+<body>
+  <div class="loading-screen">
+    <div class="spinner-container">
+      <div class="loader"></div>
+      <br />Loading...
+    </div>
+  </div>
+  <div class="container">
+    <div id='labelAndMainContainer'>
+      <canvas id="myCanvas" height="700px"></canvas>
+    </div>
+    <div id='scaleContainer'>
+      <div id="scaleBox" height="140px">
+        <svg id="scaleSvg" height="120px"></svg>
+      </div>
+      <button id="zoom-out" onclick="zoomOut()" style="float:right">-</button>
+      <button id="zoom-in" onclick="zoomIn()" style="float:right; margin-right:5px">+</button>
+      <input type="text" class="form-control input-sm" id="brush_start"
+        style="width: 60px; float:left; margin-right:10px" value="0"></input>
+      <input type="text" class="form-control input-sm" id="brush_end" style="width: 60px; float:left" value="0"></input>
+      <select id='bookmarks-select' style="width: 120px; float:left; margin-left:10px">
+        <option selected="true" disabled="disabled">Bookmarks</option>
+      </select>
+      <p id='bookmark-description' style="width: 300px; float:left; margin-left:10px; font-size: large;"></p>
+    </div>
+    <div id='tooltip-body' display='none'></div>
+    <div id='deepdive-tooltip-body' display='none'></div>
+    <div id='lasso-menu-body' display='none'></div>
 
-            <div id="settings-panel">
-                  <div id="sidebar">
-                        <div class="tab-content"></div>
+    <div id="toggle-panel-settings" onclick="toggleRightPanel('#settings-panel')">
+      <span id="toggle-panel-settings-inner">&#9664;</span><span
+        style="display: block; font-size: 11px; transform: rotate(90deg);"><u>S</u>ETTINGS</span>
+    </div>
+    <div id="settings-panel">
+      <div id="sidebar">
+        <div class="tab-content"></div>
 
-                        <span class="settings-header">Genome Arrangement</span>
-                        <table id="genome-arrangement" style="margin-bottom: 20px;">
-                          <tbody>
-                            <tr>
-                              <td>Genome spacing:</td>
-                              <td><input type="text" class="form-control input-sm" id="genome_spacing" value="30"></td>
-                            </tr>
-                            <tr>
-                              <td>Plot scale:</td>
-                              <td><input type="text" class="form-control input-sm" id="plot_scale" value="(TODO)"></td>
-                            </tr>
-                            <tr>
-                              <td>Align to Gene Cluster: </td>
-                              <td><input id="alignClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
-                            </tr>
-                            <tr>
-                              <td>Pan to Gene Cluster: </td>
-                              <td><input id="panClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
-                            </tr>
-                            <tr>
-                              <td>Order Method: </td>
-                              <td><select class="type_multiple" id='genome_order_select' style="width: 100px;" class="type"></select></td>
-                            </tr>
-                          </tbody>
-                        </table>
-                        <span class="settings-header">Search!</span>
-                        <table style="margin-bottom: 20px;">
-                          <tbody>
-                            <tr>
-                              <td>Category: </td>
-                              <td>
-                                <select class="type_multiple" id='function_search_category' style="width: 100px;" class="type">
-                                </select>
-                              </td>
-                            </tr>
-                            <tr>
-                              <td>Function Name:</td>
-                              <td><input type="text" class="form-control input-sm" id="function_search_query" placeholder="IE 'borp'"></td>
-                            </tr>
-                            <tr>
-                              <td>
-                                <button onclick='drawer.queryFunctions()'>Let's Go!</button>
-                              </td>
-                              <br>
-                              <td><p id='function-query-results-statement'></p></td>
-                            </tr>
-                          </tbody>
-                        </table>
-                        <table class="table table-striped" style="width: 100%; text-align: center;">
-                          <thead>
-                            <th>Gene ID</th>
-                            <th>Genome</th>
-                            <th>Start</th>
-                            <th>Stop</th>
-                            <th>Action</th>
-                          </thead>
-                          <tbody id="query-results-table">
-                          </tbody>
-                        </table>
+        <span class="settings-header">Genome Arrangement</span>
+        <table id="genome-arrangement" style="margin-bottom: 20px;">
+          <tbody>
+            <tr>
+              <td>Genome spacing:</td>
+              <td><input type="text" class="form-control input-sm" id="genome_spacing" value="30"></td>
+            </tr>
+            <tr>
+              <td>Plot scale:</td>
+              <td><input type="text" class="form-control input-sm" id="plot_scale" value="(TODO)"></td>
+            </tr>
+            <tr>
+              <td>Align to Gene Cluster: </td>
+              <td><input id="alignClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
+            </tr>
+            <tr>
+              <td>Pan to Gene Cluster: </td>
+              <td><input id="panClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
+            </tr>
+            <tr>
+              <td>Order Method: </td>
+              <td><select class="type_multiple" id='genome_order_select' style="width: 100px;" class="type"></select>
+              </td>
+            </tr>
+          </tbody>
+        </table>
+        <span class="settings-header">Search!</span>
+        <table style="margin-bottom: 20px;">
+          <tbody>
+            <tr>
+              <td>Category: </td>
+              <td>
+                <select class="type_multiple" id='function_search_category' style="width: 100px;" class="type">
+                </select>
+              </td>
+            </tr>
+            <tr>
+              <td>Function Name:</td>
+              <td><input type="text" class="form-control input-sm" id="function_search_query" placeholder="IE 'borp'">
+              </td>
+            </tr>
+            <tr>
+              <td>
+                <button onclick='drawer.queryFunctions()'>Let's Go!</button>
+              </td>
+              <br>
+              <td>
+                <p id='function-query-results-statement'></p>
+              </td>
+            </tr>
+          </tbody>
+        </table>
+        <table class="table table-striped" style="width: 100%; text-align: center;">
+          <thead>
+            <th>Gene ID</th>
+            <th>Genome</th>
+            <th>Start</th>
+            <th>Stop</th>
+            <th>Action</th>
+          </thead>
+          <tbody id="query-results-table">
+          </tbody>
+        </table>
 
-                        <span class="settings-header">Genomes</span>
+        <span class="settings-header">Genomes</span>
 
-                  <div id="table_layers_container" style="margin-top: 15px;">
-                      <table id="table_genomes" class='sortable'>
-                          <thead>
-                              <tr>
-                                  <td></td>
-                                  <td data-help="layer-name">Name</td>
-                                  <td data-help="layer-color"><div style="width: 32px;">Color</div></td>
-                                  <td data-help="layer-type">Type</td>
-                                  <td data-help="layer-norm">Norm.</td>
-                                  <td data-help="layer-height">Height</td>
-                                  <td data-help="layer-margin" class="column-margin">Margin</td>
-                                  <td data-help="layer-min">Min</td>
-                                  <td data-help="layer-max">Max</td>
-                              </tr>
-                          </thead>
-                          <tbody id="tbody_genomes"></tbody>
-                          <tbody id="tbody_bottom">
-                              <tr style="height: 30px">
-                                  <td colspan="9">
-                                      <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multiple-layers">Edit attributes for multiple layers</h4>
-                                  </td>
-                              </tr>
-                              <tr>
-                                  <td></td>
-                                  <td><input class="select_layer" placeholder="Select Layer" size="12"></td>
-                                  <td>
-                                      <div id="picker_start_multiple" class="colorpicker-base" color="#FFFFFF" style="background-color: #FFFFFF"></div>
-                                      <div id="picker_multiple" class="colorpicker-base" color="#FFFFFF" style="background-color: #FFFFFF" ></div>
-                                  </td>
-                                  <td style="width: 50px;">
-                                      <select class="type_multiple" style="width: 50px;" class="type">
-                                          <option value="">Select</option>
-                                          <option value="" disabled>-----Numerical Types-----</option>
-                                          <option value="bar">Bar</option>
-                                          <option value="intensity">Intensity</option>
-                                          <option value="line">Line</option>
-                                          <option value="" disabled>-----Categorical Types-----</option>
-                                          <option value="color">Color</option>
-                                          <option value="text">Text</option>
-                                      </select>
-                                  </td>
-                                  <td>
-                                      <select class="normalization_multiple">
-                                          <option value="">Select</option>
-                                          <option value="none">none</option>
-                                          <option value="sqrt">sqrt</option>
-                                          <option value="log">log</option>
-                                      </select>
-                                  </td>
-                                  <td><input class="input-height-multiple" size="3"></input></td>
-                                  <td class="column-margin"><input class="input-margin-multiple" size="3"></input></td>
-                                  <td><input class="input-min-multiple" size="4"></input></td>
-                                  <td><input class="input-max-multiple" size="4"></input></td>
-                                  <td><input type="checkbox" class="select_all"></td>
-                              </tr>
-                          </tbody>
-                      </table>
+        <div id="table_layers_container" style="margin-top: 15px;">
+          <table id="table_genomes" class='sortable'>
+            <thead>
+              <tr>
+                <td></td>
+                <td data-help="layer-name">Name</td>
+                <td data-help="layer-color">
+                  <div style="width: 32px;">Color</div>
+                </td>
+                <td data-help="layer-type">Type</td>
+                <td data-help="layer-norm">Norm.</td>
+                <td data-help="layer-height">Height</td>
+                <td data-help="layer-margin" class="column-margin">Margin</td>
+                <td data-help="layer-min">Min</td>
+                <td data-help="layer-max">Max</td>
+              </tr>
+            </thead>
+            <tbody id="tbody_genomes"></tbody>
+            <tbody id="tbody_bottom">
+              <tr style="height: 30px">
+                <td colspan="9">
+                  <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multiple-layers">Edit
+                    attributes for multiple layers</h4>
+                </td>
+              </tr>
+              <tr>
+                <td></td>
+                <td><input class="select_layer" placeholder="Select Layer" size="12"></td>
+                <td>
+                  <div id="picker_start_multiple" class="colorpicker-base" color="#FFFFFF"
+                    style="background-color: #FFFFFF"></div>
+                  <div id="picker_multiple" class="colorpicker-base" color="#FFFFFF" style="background-color: #FFFFFF">
                   </div>
+                </td>
+                <td style="width: 50px;">
+                  <select class="type_multiple" style="width: 50px;" class="type">
+                    <option value="">Select</option>
+                    <option value="" disabled>-----Numerical Types-----</option>
+                    <option value="bar">Bar</option>
+                    <option value="intensity">Intensity</option>
+                    <option value="line">Line</option>
+                    <option value="" disabled>-----Categorical Types-----</option>
+                    <option value="color">Color</option>
+                    <option value="text">Text</option>
+                  </select>
+                </td>
+                <td>
+                  <select class="normalization_multiple">
+                    <option value="">Select</option>
+                    <option value="none">none</option>
+                    <option value="sqrt">sqrt</option>
+                    <option value="log">log</option>
+                  </select>
+                </td>
+                <td><input class="input-height-multiple" size="3"></input></td>
+                <td class="column-margin"><input class="input-margin-multiple" size="3"></input></td>
+                <td><input class="input-min-multiple" size="4"></input></td>
+                <td><input class="input-max-multiple" size="4"></input></td>
+                <td><input type="checkbox" class="select_all"></td>
+              </tr>
+            </tbody>
+          </table>
+        </div>
 
-                        <span class="settings-header">Group Layers</span>
-                        <table id="additionalDataLayersTable" class='sortable' style="margin-bottom: 20px;">
-                          <thead>
-                            <tr>
-                                <td></td>
-                                <td data-help="layer-name">Name</td>
-                                <td data-help="layer-color"><div style="width: 32px;">Color</div></td>
-                                <!-- <td data-help="layer-height">Height</td>
+        <span class="settings-header">Group Layers</span>
+        <table id="additionalDataLayersTable" class='sortable' style="margin-bottom: 20px;">
+          <thead>
+            <tr>
+              <td></td>
+              <td data-help="layer-name">Name</td>
+              <td data-help="layer-color">
+                <div style="width: 32px;">Color</div>
+              </td>
+              <!-- <td data-help="layer-height">Height</td>
                                 <td data-help="layer-margin" class="column-margin">Margin</td> -->
-                                <td data-help="layer-min">Show</td>
-                            </tr>
-                          </thead>
-                          <tbody id='tbody_additionalDataLayers'>
-                          </tbody>
-                        </table>
-                        <table id="adlCustomizationTable" style="margin-bottom: 20px;">
-                          <tbody>
-                            <tr>
-                              <td>Display up to N data points for numeric layers: N = </td>
-                              <td><input id="adl_pts_per_layer" class="form-control input-sm" type="text" value="10000" size="6"></td>
-                            </tr>
-                            <tr>
-                              <td><button id="showAllADLPtsBtn" type="button" class="btn btn-primary btn-xs" onclick="showAllADLPts()" class="btn btn-outline-primary">Show all data points</button></td>
-                            </tr>
-                          </tbody>
-                        </table>
+              <td data-help="layer-min">Show</td>
+            </tr>
+          </thead>
+          <tbody id='tbody_additionalDataLayers'>
+          </tbody>
+        </table>
+        <table id="adlCustomizationTable" style="margin-bottom: 20px;">
+          <tbody>
+            <tr>
+              <td>Display up to N data points for numeric layers: N = </td>
+              <td><input id="adl_pts_per_layer" class="form-control input-sm" type="text" value="10000" size="6"></td>
+            </tr>
+            <tr>
+              <td><button id="showAllADLPtsBtn" type="button" class="btn btn-primary btn-xs" onclick="showAllADLPts()"
+                  class="btn btn-outline-primary">Show all data points</button></td>
+            </tr>
+          </tbody>
+        </table>
 
-                        <span class="settings-header">Scale</span>
-                        <table id="scaleTable" style="margin-bottom: 20px;">
-                          <tbody>
-                            <tr id="dynamic_scale">
-                              <td>Dynamic scale interval</td>
-                              <td style="float: right"><div style="width: 20px;"><input id="show_dynamic_scale_box" type="checkbox" class="layer_selectors"></div></td>
-                            </tr>
-                            <tr id="scale_interval">
-                              <td>Genome scale interval: </td>
-                              <td><input id="genome_scale_interval" class="form-control input-sm" type="text" value="100" size="4"></td>
-                            </tr>
-                            <tr>
-                              <td><button id="alignRulerBtn" type="button" class="btn btn-primary btn-xs" onclick="drawer.alignRulers()" class="btn btn-outline-primary">Align genome rulers</button></td>
-                            </tr>
-                          </tbody>
-                        </table>
-                        <span class="settings-header">Bookmarks</span>
-                        <table id="bookmarksTable" style="margin-bottom: 20px;">
-                          <tbody>
-                            <tr id="create_bookmark">
-                              <td><input id="create_bookmark_input" class="form-control input-sm" type="text" placeholder="New bookmark title" style="margin-bottom: 15px;"  size="4"></td>
-                            <tr id="show_scale">
-                              <td><textarea id="create_bookmark_description" class="form-control input-sm" type="text" placeholder="New bookmark description" style="margin-bottom: 15px; height: 85px;"  size="8"></textarea></td>
-                            </tr>
-                            <tr id="show_scale">
-                              <td style="float: right"><button onclick='createBookmark()'>New Bookmark from Current Position</button></td>
-                            </tr>
-                            </tr>
-                          </tbody>
-                        </table>
+        <span class="settings-header">Scale</span>
+        <table id="scaleTable" style="margin-bottom: 20px;">
+          <tbody>
+            <tr id="dynamic_scale">
+              <td>Dynamic scale interval</td>
+              <td style="float: right">
+                <div style="width: 20px;"><input id="show_dynamic_scale_box" type="checkbox" class="layer_selectors">
+                </div>
+              </td>
+            </tr>
+            <tr id="scale_interval">
+              <td>Genome scale interval: </td>
+              <td><input id="genome_scale_interval" class="form-control input-sm" type="text" value="100" size="4"></td>
+            </tr>
+            <tr>
+              <td><button id="alignRulerBtn" type="button" class="btn btn-primary btn-xs" onclick="drawer.alignRulers()"
+                  class="btn btn-outline-primary">Align genome rulers</button></td>
+            </tr>
+          </tbody>
+        </table>
+        <span class="settings-header">Bookmarks</span>
+        <table id="bookmarksTable" style="margin-bottom: 20px;">
+          <tbody>
+            <tr id="create_bookmark">
+              <td><input id="create_bookmark_input" class="form-control input-sm" type="text"
+                  placeholder="New bookmark title" style="margin-bottom: 15px;" size="4"></td>
+            <tr id="show_scale">
+              <td><textarea id="create_bookmark_description" class="form-control input-sm" type="text"
+                  placeholder="New bookmark description" style="margin-bottom: 15px; height: 85px;" size="8"></textarea>
+              </td>
+            </tr>
+            <tr id="show_scale">
+              <td style="float: right"><button onclick='createBookmark()'>New Bookmark from Current Position</button>
+              </td>
+            </tr>
+            </tr>
+          </tbody>
+        </table>
 
-                        <span class="settings-header">Gene arrows</span>
-                        <p class="settings-section-info">Change colors of genes based on their functional annotations. You can also manually color genes temporarily. First, right-click on a gene. It will add the gene into the list below with a default color. Then, you can use the color picker next to it to set a color manually.</p>
-                        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
-                          <label id="arrow_style_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="arrow_style" data-original-title="" title="">Arrow style:</label>
-                          <div class="col-md-8">
-                            <select id="arrow_style" style="margin-bottom: 10px" class="form-control input-xs">
-                              <option value=1>Default</option>
-                              <option value=2>Wide</option>
-                              <option value=3>Pentagon</option>
-                              <option value=4>Rect</option>
-                            </select>
-                          </div>
-                        </div>
-                        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
-                          <label id="gene_colors_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="gene_color_order" data-original-title="" title="">Color genes by:</label>
-                          <div class="col-md-8">
-                            <select id="gene_color_order" style="margin-bottom: 10px" class="form-control input-xs"></select>
-                          </div>
-                        </div>
+        <span class="settings-header">Gene arrows</span>
+        <p class="settings-section-info">Change colors of genes based on their functional annotations. You can also
+          manually color genes temporarily. First, right-click on a gene. It will add the gene into the list below with
+          a default color. Then, you can use the color picker next to it to set a color manually.</p>
+        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
+          <label id="arrow_style_label" style="padding-left: 0px;" class="col-md-4 settings-label"
+            data-help="arrow_style" data-original-title="" title="">Arrow style:</label>
+          <div class="col-md-8">
+            <select id="arrow_style" style="margin-bottom: 10px" class="form-control input-xs">
+              <option value=1>Default</option>
+              <option value=2>Wide</option>
+              <option value=3>Pentagon</option>
+              <option value=4>Rect</option>
+            </select>
+          </div>
+        </div>
+        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
+          <label id="gene_colors_label" style="padding-left: 0px;" class="col-md-4 settings-label"
+            data-help="gene_color_order" data-original-title="" title="">Color genes by:</label>
+          <div class="col-md-8">
+            <select id="gene_color_order" style="margin-bottom: 10px" class="form-control input-xs"></select>
+          </div>
+        </div>
 
-                        <tbody>
-                            <tr>
-                              <td style="margin-bottom: 10px;">Only show categories in the current render window:</td>
-                              <td><input type="checkbox" id="show_only_cags_in_window" value="unchecked" style="margin-bottom: 10px;"></td>
-                            </tr>
-                            <br>
-                            <tr>
-                              <td style="margin-bottom: 10px;">Filter:</td>
-                              <td><input type="text" class="form-control input-sm" id="thresh_count" value="4" style="margin-bottom: 10px;"></td>
-                            </tr>
-                        </tbody>
+        <tbody>
+          <tr>
+            <td style="margin-bottom: 10px;">Only show categories in the current render window:</td>
+            <td><input type="checkbox" id="show_only_cags_in_window" value="unchecked" style="margin-bottom: 10px;">
+            </td>
+          </tr>
+          <br>
+          <tr>
+            <td style="margin-bottom: 10px;">Filter:</td>
+            <td><input type="text" class="form-control input-sm" id="thresh_count" value="4"
+                style="margin-bottom: 10px;"></td>
+          </tr>
+        </tbody>
 
-                        <div class="ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content-active" id="ui-id-2" aria-labelledby="ui-id-1" role="tabpanel" style="display: block;" aria-hidden="false">Sort: <div class="btn-group" role="group">
-                        <button type="button" class="btn btn-default" onclick="orderColorTable('alphabetical');"><span class="glyphicon glyphicon-sort-by-alphabet"></span> Alphabetical</button>
-                        <button type="button" class="btn btn-default" onclick="orderColorTable('count');"><span class="glyphicon glyphicon-sort-by-order-alt"></span> Count</button>
-                        </div>
-                        <div class="btn-group" role="group">
-                            <button type="button" class="btn btn-default" style="margin-left: 10px;" onclick="$('#batch_coloring').slideToggle();"><span class="glyphicon glyphicon-tint"></span> Batch coloring</button>
-                        </div>
+        <div class="ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content-active"
+          id="ui-id-2" aria-labelledby="ui-id-1" role="tabpanel" style="display: block;" aria-hidden="false">Sort: <div
+            class="btn-group" role="group">
+            <button type="button" class="btn btn-default" onclick="orderColorTable('alphabetical');"><span
+                class="glyphicon glyphicon-sort-by-alphabet"></span> Alphabetical</button>
+            <button type="button" class="btn btn-default" onclick="orderColorTable('count');"><span
+                class="glyphicon glyphicon-sort-by-order-alt"></span> Count</button>
+          </div>
+          <div class="btn-group" role="group">
+            <button type="button" class="btn btn-default" style="margin-left: 10px;"
+              onclick="$('#batch_coloring').slideToggle();"><span class="glyphicon glyphicon-tint"></span> Batch
+              coloring</button>
+          </div>
 
-                        <div id="batch_coloring" style="margin: 10px; display: none;">
-                          <table class="col-md-12 table-spacing">
-                              <tbody><tr>
-                                  <td class="col-md-2">Rule: </td>
-                                  <td class="col-md-10">
-                                      <input type="radio" name="batch_rule" value="all" checked=""> All <br>
-                                      <input type="radio" name="batch_rule" value="name"> Name contains <input type="text" id="name_rule" size="8"><br>
-                                      <input type="radio" name="batch_rule" value="count"> Count
-                                          <select id="count_rule">
-                                              <option selected="">==</option>
-                                              <option>&lt;</option>
-                                              <option>&gt;</option>
-                                          </select>
-                                          <input type="text" id="count_rule_value" size="3">
-                                      <br>
-                                  </td>
-                              </tr>
-                              <tr>
-                                  <td class="col-md-2">Color: </td>
-                                  <td class="col-md-10"><div id="batch_colorpicker" class="colorpicker" color="#FFFFFF" style="margin-right: 5px; background-color: #FFFFFF; float: none; "></div></td>
-                              </tr>
-                              <tr>
-                                  <td class="col-md-2"></td>
-                                  <td class="col-md-10"><input id="batch_randomcolor" type="checkbox"> Assign random color</td>
-                              </tr>
-                              <tr>
-                                  <td class="col-md-2"></td>
-                                  <td class="col-md-10"><button type="button" class="btn btn-default" onclick="batchColor();">Apply</button></td>
-                              </tr>
-                          </tbody></table>
-                        </div>
+          <div id="batch_coloring" style="margin: 10px; display: none;">
+            <table class="col-md-12 table-spacing">
+              <tbody>
+                <tr>
+                  <td class="col-md-2">Rule: </td>
+                  <td class="col-md-10">
+                    <input type="radio" name="batch_rule" value="all" checked=""> All <br>
+                    <input type="radio" name="batch_rule" value="name"> Name contains <input type="text" id="name_rule"
+                      size="8"><br>
+                    <input type="radio" name="batch_rule" value="count"> Count
+                    <select id="count_rule">
+                      <option selected="">==</option>
+                      <option>&lt;</option>
+                      <option>&gt;</option>
+                    </select>
+                    <input type="text" id="count_rule_value" size="3">
+                    <br>
+                  </td>
+                </tr>
+                <tr>
+                  <td class="col-md-2">Color: </td>
+                  <td class="col-md-10">
+                    <div id="batch_colorpicker" class="colorpicker" color="#FFFFFF"
+                      style="margin-right: 5px; background-color: #FFFFFF; float: none; "></div>
+                  </td>
+                </tr>
+                <tr>
+                  <td class="col-md-2"></td>
+                  <td class="col-md-10"><input id="batch_randomcolor" type="checkbox"> Assign random color</td>
+                </tr>
+                <tr>
+                  <td class="col-md-2"></td>
+                  <td class="col-md-10"><button type="button" class="btn btn-default"
+                      onclick="batchColor();">Apply</button></td>
+                </tr>
+              </tbody>
+            </table>
+          </div>
 
-                        <div id="table_function_colors_container" style="margin-top: 20px; color:black">
-                          <table id="table_function_colors">
-                            <thead id="thead_function_colors">
-                              <td></td>
-                              <td data-help="function-color"><div style="width: 32px;"><b>Color</b></div></td>
-                              <td data-help="function-category"><b>Annotation</b></td>
-                            </thead>
-                            <tbody id="tbody_function_colors"></tbody>
-                          </table>
-                        </div>
-                        <button type="button" class="btn btn-primary btn-xs" onclick="resetFunctionColors()" class="btn btn-outline-primary">Reset Function colors</button>
+          <div id="table_function_colors_container" style="margin-top: 20px; color:black">
+            <table id="table_function_colors">
+              <thead id="thead_function_colors">
+                <td></td>
+                <td data-help="function-color">
+                  <div style="width: 32px;"><b>Color</b></div>
+                </td>
+                <td data-help="function-category"><b>Annotation</b></td>
+              </thead>
+              <tbody id="tbody_function_colors"></tbody>
+            </table>
+          </div>
+          <button type="button" class="btn btn-primary btn-xs" onclick="resetFunctionColors()"
+            class="btn btn-outline-primary">Reset Function colors</button>
 
-                        <span class="settings-header">Gene links</span>
-                        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
-                          <label id="link_style_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="link_style" data-original-title="" title="">Link style:</label>
-                          <div class="col-md-8">
-                            <select id="link_style" style="margin-bottom: 10px" class="form-control input-xs">
-                              <option value=1>Straight</option>
-                              <option value=2>Curved</option>
-                              <option value=3>Line</option>
-                              <option value=4>None</option>
-                            </select>
-                          </div>
-                        </div>
-                            <select id="shade_by" style="margin-bottom: 10px" class="form-control input-xs">
-                              <option value=1>Gene Cluster</option>
-                              <option value=2>COG Category</option>
-                              <option value=3>KEGG Category</option>
-                              <option value=4>Custom</option>
-                            </select>
-                        <p>TODO: Color table for shades (with opacity option too?)</p>
+          <span class="settings-header">Gene links</span>
+          <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
+            <label id="link_style_label" style="padding-left: 0px;" class="col-md-4 settings-label"
+              data-help="link_style" data-original-title="" title="">Link style:</label>
+            <div class="col-md-8">
+              <select id="link_style" style="margin-bottom: 10px" class="form-control input-xs">
+                <option value=1>Straight</option>
+                <option value=2>Curved</option>
+                <option value=3>Line</option>
+                <option value=4>None</option>
+              </select>
+            </div>
+          </div>
+          <select id="shade_by" style="margin-bottom: 10px" class="form-control input-xs">
+            <option value=1>Gene Cluster</option>
+            <option value=2>COG Category</option>
+            <option value=3>KEGG Category</option>
+            <option value=4>Custom</option>
+          </select>
+          <p>TODO: Color table for shades (with opacity option too?)</p>
 
-                        <span class="settings-header">Labels</span>
-                        <table id="labels-table" style="margin-bottom: 20px;">
-                          <tbody>
-                            <tr id="show_genome_labels">
-                              <td>Show genome labels</td>
-                              <td style="float: right"><div style="width: 20px;"><input id="show_genome_labels_box" type="checkbox" class="layer_selectors"></div></td>
-                            </tr>
-                            <tr>
-                              <td>Genome label size:</td>
-                              <td><input type="text" class="form-control input-sm" id="genome_label" value="15" style="margin-bottom: 10px"></td>
-                            </tr>
-                            <tr>
-                              <td>Genome label color:</td>
-                              <td><div class="colorpicker" id="genome_label_color" color="#000000" style="background-color: #000000; margin-bottom: 10px"></div></td>
-                            </tr>
-                            <tr id="show_gene_labels">
-                              <td>Show gene labels:</td>
-                              <td style="float: right"><div style="width: 20px;"><input id="show_gene_labels_box" type="checkbox" class="layer_selectors"></div></td>
-                            </tr>
-                            <tr id="link_gene_label_color_source">
-                              <td>Link gene label/color source:</td>
-                              <td style="float: right"><div style="width: 20px;"><input id="link_gene_label_color_source_box" type="checkbox" class="layer_selectors"></div></td>
-                            </tr>
-                            <tr>
-                              <td>Gene label source:</td>
-                              <td><div class="col-md-8">
-                                <select id="gene_label_source" style="margin-bottom: 10px; margin-left: 0px" class="form-control input-xs">
-                                  <option value='default'>Default</option>
-                                  <option value='user'>User-Defined</option>
-                                </select>
-                              </div></td>
-                            </tr>
-                            <tr>
-                              <td>Gene label size:</td>
-                              <td><input type="text" class="form-control input-sm" id="gene_label" value="40" style="margin-bottom: 10px"></td>
-                            </tr>
-                            <tr>
-                              <td>Gene label color:</td>
-                              <td><div class="colorpicker" id="gene_label_color" color="#000000" style="background-color: #000000; margin-bottom: 10px"></div></td>
-                            </tr>
-                            <tr>
-                              <td>Gene label position:</td>
-                              <td><div class="col-md-8">
-                                <select id="gene_text_pos" style="margin-bottom: 10px; margin-left: 0px" class="form-control input-xs">
-                                  <option value='above'>Above</option>
-                                  <option value='inside'>Inside</option>
-                                </select>
-                              </div></td>
-                            </tr>
-                            <tr>
-                              <td>Gene label angle:</td>
-                              <td><input type="text" class="form-control input-sm" id="gene_text_angle" value="0" style="margin-bottom: 10px"></td>
-                            </tr>
-                          </tbody>
-                        </table>
-                        <span style="margin-bottom:600px"></span>
-              </div>
+          <span class="settings-header">Labels</span>
+          <table id="labels-table" style="margin-bottom: 20px;">
+            <tbody>
+              <tr id="show_genome_labels">
+                <td>Show genome labels</td>
+                <td style="float: right">
+                  <div style="width: 20px;"><input id="show_genome_labels_box" type="checkbox" class="layer_selectors">
+                  </div>
+                </td>
+              </tr>
+              <tr>
+                <td>Genome label size:</td>
+                <td><input type="text" class="form-control input-sm" id="genome_label" value="15"
+                    style="margin-bottom: 10px"></td>
+              </tr>
+              <tr>
+                <td>Genome label color:</td>
+                <td>
+                  <div class="colorpicker" id="genome_label_color" color="#000000"
+                    style="background-color: #000000; margin-bottom: 10px"></div>
+                </td>
+              </tr>
+              <tr id="show_gene_labels">
+                <td>Show gene labels:</td>
+                <td style="float: right">
+                  <div style="width: 20px;"><input id="show_gene_labels_box" type="checkbox" class="layer_selectors">
+                  </div>
+                </td>
+              </tr>
+              <tr id="link_gene_label_color_source">
+                <td>Link gene label/color source:</td>
+                <td style="float: right">
+                  <div style="width: 20px;"><input id="link_gene_label_color_source_box" type="checkbox"
+                      class="layer_selectors"></div>
+                </td>
+              </tr>
+              <tr>
+                <td>Gene label source:</td>
+                <td>
+                  <div class="col-md-8">
+                    <select id="gene_label_source" style="margin-bottom: 10px; margin-left: 0px"
+                      class="form-control input-xs">
+                      <option value='default'>Default</option>
+                      <option value='user'>User-Defined</option>
+                    </select>
+                  </div>
+                </td>
+              </tr>
+              <tr>
+                <td>Gene label size:</td>
+                <td><input type="text" class="form-control input-sm" id="gene_label" value="40"
+                    style="margin-bottom: 10px"></td>
+              </tr>
+              <tr>
+                <td>Gene label color:</td>
+                <td>
+                  <div class="colorpicker" id="gene_label_color" color="#000000"
+                    style="background-color: #000000; margin-bottom: 10px"></div>
+                </td>
+              </tr>
+              <tr>
+                <td>Gene label position:</td>
+                <td>
+                  <div class="col-md-8">
+                    <select id="gene_text_pos" style="margin-bottom: 10px; margin-left: 0px"
+                      class="form-control input-xs">
+                      <option value='above'>Above</option>
+                      <option value='inside'>Inside</option>
+                    </select>
+                  </div>
+                </td>
+              </tr>
+              <tr>
+                <td>Gene label angle:</td>
+                <td><input type="text" class="form-control input-sm" id="gene_text_angle" value="0"
+                    style="margin-bottom: 10px"></td>
+              </tr>
+            </tbody>
+          </table>
+          <span style="margin-bottom:600px"></span>
+        </div>
 
-              <div class="btn-group sidebar-footer" role="group" style="margin-top: 5px; padding-right: 20px; padding-bottom: 5px;">
-                <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 45px" onclick="showLoadStateWindow();" data-help="load-state-button" data-original-title="" title=""><span class="glyphicon glyphicon-floppy-open" aria-hidden="true"></span> Load State</button>
-                <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 45px" onclick="showSaveStateWindow();" data-help="save-state-button" disabled-in-read-only="true" data-original-title="" title=""><span class="glyphicon glyphicon-floppy-save" aria-hidden="true"></span> Save State</button>
-              </div>
-            </div>
+        <div class="btn-group sidebar-footer" role="group"
+          style="margin-top: 5px; padding-right: 20px; padding-bottom: 5px;">
+          <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 45px"
+            onclick="showLoadStateWindow();" data-help="load-state-button" data-original-title="" title=""><span
+              class="glyphicon glyphicon-floppy-open" aria-hidden="true"></span> Load State</button>
+          <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 45px"
+            onclick="showSaveStateWindow();" data-help="save-state-button" disabled-in-read-only="true"
+            data-original-title="" title=""><span class="glyphicon glyphicon-floppy-save" aria-hidden="true"></span>
+            Save State</button>
+        </div>
+      </div>
 
-          </div>
-          <!-- LOAD STATE -->
-          <div class="modal fade" id="modLoadState" style="display: none">
-              <div class="modal-dialog">
-                  <div class="modal-content">
-                      <div class="modal-header">
-                          <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
-                          <h4 class="modal-title">Load State</h4>
-                      </div>
+    </div>
 
-                      <div class="modal-body">
-                          <select class="form-control" size="10" id="loadState_list" ondblclick="loadState();" onchange="$('#loadState_lastmodified').html('Last modified: ' + $('#loadState_list option:selected').attr('lastmodified')); "></select>
-                          <br />
-                          <div id="loadState_lastmodified">Last modified: n/a</div>
-                      </div>
+    <div id="toggle-panel-query" onclick="toggleRightPanel('#query-panel')">
+      <span id="toggle-panel-query-inner">&#9664;</span><span
+        style="display: block; font-size: 11px; transform: rotate(90deg);"><u>Q</u>UERY</span>
+    </div>
+    <div id="query-panel">
+      <h1>beep</h1>
+    </div>
 
-                      <div class="modal-footer">
-                          <button type="button" class="btn btn-primary" onclick="loadState();">Load</button>
-                          <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
-                      </div>
-                  </div>
-              </div>
+    <div id="toggle-panel-mouseover" onclick="toggleRightPanel('#mouseover-panel')">
+      <span id="toggle-panel-mouseover-inner">&#9664;</span><span
+        style="display: block; font-size: 11px; transform: rotate(90deg);"><u>M</u>OUSEOVER</span>
+    </div>
+    <div id="mouseover-panel">
+      <h1>mouse</h1>
+    </div>
+    <!-- LOAD STATE -->
+    <div class="modal fade" id="modLoadState" style="display: none">
+      <div class="modal-dialog">
+        <div class="modal-content">
+          <div class="modal-header">
+            <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
+            <h4 class="modal-title">Load State</h4>
+          </div>
+
+          <div class="modal-body">
+            <select class="form-control" size="10" id="loadState_list" ondblclick="loadState();"
+              onchange="$('#loadState_lastmodified').html('Last modified: ' + $('#loadState_list option:selected').attr('lastmodified')); "></select>
+            <br />
+            <div id="loadState_lastmodified">Last modified: n/a</div>
           </div>
 
-          <!-- SAVE STATE -->
-          <div class="modal fade" id="modSaveState" style="display: none">
-              <div class="modal-dialog">
-                  <div class="modal-content">
-                      <div class="modal-header">
-                          <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
-                          <h4 class="modal-title">Save State</h4>
-                      </div>
+          <div class="modal-footer">
+            <button type="button" class="btn btn-primary" onclick="loadState();">Load</button>
+            <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
+          </div>
+        </div>
+      </div>
+    </div>
 
-                      <div class="modal-body">
-                          <div class="form-group">
-                              <select class="form-control" id="saveState_list" size="10" onchange="$('#saveState_name').val(this.value);" ondblclick="saveState();"></select>
-                          </div>
-                          <div class="form-group">
-                                  <label class="col-md-2 settings-label label-big" for="saveState_name">Name: </label>
-                                  <div class="col-md-10">
-                                      <input type="text" id="saveState_name" class="form-control" />
-                                  </div>
-                          </div>
-                      </div>
+    <!-- SAVE STATE -->
+    <div class="modal fade" id="modSaveState" style="display: none">
+      <div class="modal-dialog">
+        <div class="modal-content">
+          <div class="modal-header">
+            <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
+            <h4 class="modal-title">Save State</h4>
+          </div>
 
-                      <div class="modal-footer">
-                          <button type="button" class="btn btn-primary" onclick="saveState();">Save</button>
-                          <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
-                      </div>
-                  </div>
+          <div class="modal-body">
+            <div class="form-group">
+              <select class="form-control" id="saveState_list" size="10"
+                onchange="$('#saveState_name').val(this.value);" ondblclick="saveState();"></select>
+            </div>
+            <div class="form-group">
+              <label class="col-md-2 settings-label label-big" for="saveState_name">Name: </label>
+              <div class="col-md-10">
+                <input type="text" id="saveState_name" class="form-control" />
               </div>
+            </div>
+          </div>
+
+          <div class="modal-footer">
+            <button type="button" class="btn btn-primary" onclick="saveState();">Save</button>
+            <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
           </div>
-        </body>
-</html>
+        </div>
+      </div>
+    </div>
+</body>
+
+</html>
\ No newline at end of file

From 4579f35b563a5b80d7d36c9da42bb215482c3150 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 6 Apr 2022 22:30:19 +0000
Subject: [PATCH 0648/1020] panel styling

---
 anvio/data/interactive/css/genomeview.css | 34 +++++++++++++++++++++++
 1 file changed, 34 insertions(+)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index 0222705a9b..4a7af5f018 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -122,6 +122,40 @@ g.scale rect.background{
     color: black;
 }
 
+#query-panel {
+  	display: none;
+    top: 0px;
+    right: 0px;
+    position: fixed;
+    height: 100%;
+    background: url('../images/fractal.jpg') center center scroll;
+    border-left: 1px solid #D3D3D3;
+    opacity: 0.9;
+    width: 530px;
+    padding: 20px;
+    font-family: "Helvetica Neue",Helvetica,Arial,sans-serif;
+    overflow-y: scroll;
+    z-index: 999;
+    color: black;
+}
+
+#mouseover-panel {
+  	display: none;
+    top: 0px;
+    right: 0px;
+    position: fixed;
+    height: 100%;
+    background: url('../images/fractal.jpg') center center scroll;
+    border-left: 1px solid #D3D3D3;
+    opacity: 0.9;
+    width: 530px;
+    padding: 20px;
+    font-family: "Helvetica Neue",Helvetica,Arial,sans-serif;
+    overflow-y: scroll;
+    z-index: 999;
+    color: black;
+}
+
 .settings-header {
     font-variant: small-caps;
     font-size: 1.2em;

From 5a689076c3e1dbef9cdc9ea34eaf1c57bd773efe Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 6 Apr 2022 22:38:28 +0000
Subject: [PATCH 0649/1020] slideout pane styling

---
 anvio/data/interactive/css/genomeview.css     |  6 ++++++
 anvio/data/interactive/js/genomeview/utils.js | 12 ++++++------
 2 files changed, 12 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index 4a7af5f018..8101a4731a 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -199,6 +199,12 @@ g.scale rect.background{
 .toggle-panel-settings-pos {
     right: 530px !important;
 }
+.toggle-panel-query-pos {
+    right: 530px !important;
+}
+.toggle-panel-mouseover-pos {
+    right: 530px !important;
+}
 
 #settings-panel .btn {
     margin-bottom: 5px !important;
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 0497e6aef5..7becfe1e5f 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -344,26 +344,26 @@ function toggleRightPanel(name) {
   $(name).toggle();
 
   if ($('#mouseover_panel').is(':visible')) {
-      $('#toggle-panel-mouseover').addClass('toggle-panel-right-pos');
+      $('#toggle-panel-mouseover').addClass('toggle-panel-mouseover-pos');
       $('#toggle-panel-mouseover-inner').html('&#9658;');
   } else {
-      $('#toggle-panel-mouseover').removeClass('toggle-panel-right-pos');
+      $('#toggle-panel-mouseover').removeClass('toggle-panel-mouseover-pos');
       $('#toggle-panel-mouseover-inner').html('&#9664;');
   }
 
   if ($('#settings-panel').is(':visible')) {
-      $('#toggle-panel-settings').addClass('toggle-panel-right-pos-2');
+      $('#toggle-panel-settings').addClass('toggle-panel-settings-pos');
       $('#toggle-panel-settings-inner').html('&#9658;');
   } else {
-      $('#toggle-panel-settings').removeClass('toggle-panel-right-pos-2');
+      $('#toggle-panel-settings').removeClass('toggle-panel-settings-pos');
       $('#toggle-panel-settings').html('&#9664;');
   }
 
   if ($('#query-panel').is(':visible')) {
-      $('#toggle-panel-query').addClass('toggle-panel-right-pos-3');
+      $('#toggle-panel-query').addClass('toggle-panel-query-pos');
       $('#toggle-panel-query-inner').html('&#9658;');
   } else {
-      $('#toggle-panel-query').removeClass('toggle-panel-right-pos-3');
+      $('#toggle-panel-query').removeClass('toggle-panel-query-pos');
       $('#toggle-panel-query-inner').html('&#9664;');
   }
 }

From 60f65d6eccb96b90a114627935483d3b4e6a02a7 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 6 Apr 2022 22:40:53 +0000
Subject: [PATCH 0650/1020] move search functionality to query pane

---
 anvio/data/interactive/genomeview.html | 75 +++++++++++++-------------
 1 file changed, 37 insertions(+), 38 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index f6ea10b4c4..1c9acc38d7 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -122,43 +122,6 @@
             </tr>
           </tbody>
         </table>
-        <span class="settings-header">Search!</span>
-        <table style="margin-bottom: 20px;">
-          <tbody>
-            <tr>
-              <td>Category: </td>
-              <td>
-                <select class="type_multiple" id='function_search_category' style="width: 100px;" class="type">
-                </select>
-              </td>
-            </tr>
-            <tr>
-              <td>Function Name:</td>
-              <td><input type="text" class="form-control input-sm" id="function_search_query" placeholder="IE 'borp'">
-              </td>
-            </tr>
-            <tr>
-              <td>
-                <button onclick='drawer.queryFunctions()'>Let's Go!</button>
-              </td>
-              <br>
-              <td>
-                <p id='function-query-results-statement'></p>
-              </td>
-            </tr>
-          </tbody>
-        </table>
-        <table class="table table-striped" style="width: 100%; text-align: center;">
-          <thead>
-            <th>Gene ID</th>
-            <th>Genome</th>
-            <th>Start</th>
-            <th>Stop</th>
-            <th>Action</th>
-          </thead>
-          <tbody id="query-results-table">
-          </tbody>
-        </table>
 
         <span class="settings-header">Genomes</span>
 
@@ -523,7 +486,43 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
         style="display: block; font-size: 11px; transform: rotate(90deg);"><u>Q</u>UERY</span>
     </div>
     <div id="query-panel">
-      <h1>beep</h1>
+      <span class="settings-header">Search!</span>
+        <table style="margin-bottom: 20px;">
+          <tbody>
+            <tr>
+              <td>Category: </td>
+              <td>
+                <select class="type_multiple" id='function_search_category' style="width: 100px;" class="type">
+                </select>
+              </td>
+            </tr>
+            <tr>
+              <td>Function Name:</td>
+              <td><input type="text" class="form-control input-sm" id="function_search_query" placeholder="IE 'borp'">
+              </td>
+            </tr>
+            <tr>
+              <td>
+                <button onclick='drawer.queryFunctions()'>Let's Go!</button>
+              </td>
+              <br>
+              <td>
+                <p id='function-query-results-statement'></p>
+              </td>
+            </tr>
+          </tbody>
+        </table>
+        <table class="table table-striped" style="width: 100%; text-align: center;">
+          <thead>
+            <th>Gene ID</th>
+            <th>Genome</th>
+            <th>Start</th>
+            <th>Stop</th>
+            <th>Action</th>
+          </thead>
+          <tbody id="query-results-table">
+          </tbody>
+        </table>
     </div>
 
     <div id="toggle-panel-mouseover" onclick="toggleRightPanel('#mouseover-panel')">

From d33545c2ee221f93aaaf4c73fc79b4f1996a9d8b Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 6 Apr 2022 22:41:38 +0000
Subject: [PATCH 0651/1020] move bookmarks functionality to query panel

---
 anvio/data/interactive/genomeview.html | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 1c9acc38d7..6d5c7cf297 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -523,6 +523,24 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
           <tbody id="query-results-table">
           </tbody>
         </table>
+        <span class="settings-header">Bookmarks</span>
+        <table id="bookmarksTable" style="margin-bottom: 20px;">
+          <tbody>
+            <tr id="create_bookmark">
+              <td><input id="create_bookmark_input" class="form-control input-sm" type="text"
+                  placeholder="New bookmark title" style="margin-bottom: 15px;" size="4"></td>
+            <tr id="show_scale">
+              <td><textarea id="create_bookmark_description" class="form-control input-sm" type="text"
+                  placeholder="New bookmark description" style="margin-bottom: 15px; height: 85px;" size="8"></textarea>
+              </td>
+            </tr>
+            <tr id="show_scale">
+              <td style="float: right"><button onclick='createBookmark()'>New Bookmark from Current Position</button>
+              </td>
+            </tr>
+            </tr>
+          </tbody>
+        </table>
     </div>
 
     <div id="toggle-panel-mouseover" onclick="toggleRightPanel('#mouseover-panel')">

From d240ac95dfd3d819de34fe464af26b5940aafd04 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 18 Apr 2022 22:34:35 +0000
Subject: [PATCH 0652/1020] tabular modal jquery show/hide

---
 anvio/data/interactive/js/genomeview/ui.js | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 174f63c6da..48dc1662b2 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -547,6 +547,12 @@ function show_sequence_modal(title, content) {
   $('.modal-sequence textarea').trigger('click');
 }
 
+function showTabularModal(){
+  $('#tabular-modal-body').show().css({'position' : 'absolute', 'left' : 30, 'top' : 30}).append(`
+    <button type="button" class="btn btn-default btn-sm" onClick="$('#tabular-modal-body').html('').hide()">close</>
+  `)
+}
+
 function showLassoMenu(selected_genes, x, y) {
   //x = 600;
   //y = 200;

From d3d75f4711c48ede0716ba6d98c7842dc98aae1d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 18 Apr 2022 22:35:22 +0000
Subject: [PATCH 0653/1020] tabular modal html element

---
 anvio/data/interactive/genomeview.html | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 6d5c7cf297..808eca56e3 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -13,7 +13,7 @@
   <link rel="stylesheet" type="text/css" href="./css/genomeview.css" />
   <!-- main css file imported for color picker functionality -->
   <link rel="stylesheet" type="text/css" href="./css/main.css" />
-  <link rel="stylesheet" type="text/css" href="css/loading.css" />
+  <link rel="stylesheet" type="text/css" href="./css/loading.css" />
 
   <link rel="shortcut icon" href="#">
 
@@ -74,10 +74,11 @@
       <div id="scaleBox" height="140px">
         <svg id="scaleSvg" height="120px"></svg>
       </div>
+      <button onclick="showTabularModal()">Display Viewport Data</button>
       <button id="zoom-out" onclick="zoomOut()" style="float:right">-</button>
       <button id="zoom-in" onclick="zoomIn()" style="float:right; margin-right:5px">+</button>
       <input type="text" class="form-control input-sm" id="brush_start"
-        style="width: 60px; float:left; margin-right:10px" value="0"></input>
+      style="width: 60px; float:left; margin-right:10px" value="0"></input>
       <input type="text" class="form-control input-sm" id="brush_end" style="width: 60px; float:left" value="0"></input>
       <select id='bookmarks-select' style="width: 120px; float:left; margin-left:10px">
         <option selected="true" disabled="disabled">Bookmarks</option>
@@ -87,6 +88,7 @@
     <div id='tooltip-body' display='none'></div>
     <div id='deepdive-tooltip-body' display='none'></div>
     <div id='lasso-menu-body' display='none'></div>
+    <div id='tabular-modal-body'></div>
 
     <div id="toggle-panel-settings" onclick="toggleRightPanel('#settings-panel')">
       <span id="toggle-panel-settings-inner">&#9664;</span><span

From 694f52188a310baeb37068816f134f042e3eaaf6 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 18 Apr 2022 22:35:32 +0000
Subject: [PATCH 0654/1020] tabular modal placeholder styling

---
 anvio/data/interactive/css/genomeview.css | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index 8101a4731a..74a626a956 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -258,3 +258,10 @@ a{
     bottom : 25px; 
     background-color: rgba(255,255,255, 0.8);
 }
+
+#tabular-modal-body{
+    height: 90vh;
+    width: 90vw;
+    background: white;
+    display: none;
+}
\ No newline at end of file

From 30b13b7ac9fa4286b6ead2aaf459a713fe53ec24 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 18 Apr 2022 22:39:05 +0000
Subject: [PATCH 0655/1020] capture genes in current viewport

---
 anvio/data/interactive/js/genomeview/ui.js | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 48dc1662b2..4a31f52adf 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -548,6 +548,8 @@ function show_sequence_modal(title, content) {
 }
 
 function showTabularModal(){
+  var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow')
+  
   $('#tabular-modal-body').show().css({'position' : 'absolute', 'left' : 30, 'top' : 30}).append(`
     <button type="button" class="btn btn-default btn-sm" onClick="$('#tabular-modal-body').html('').hide()">close</>
   `)

From 0ba127b28893c6a5b87c7976419353c57a4e6bc8 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 18 Apr 2022 22:43:24 +0000
Subject: [PATCH 0656/1020] capture genomes to display

---
 anvio/data/interactive/js/genomeview/ui.js | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 4a31f52adf..a747c356dd 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -549,7 +549,14 @@ function show_sequence_modal(title, content) {
 
 function showTabularModal(){
   var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow')
-  
+  var genomes = Object()
+
+  arrows.map(arrow => {
+    if(!genomes[arrow['genomeID']]){
+      genomes[arrow['genomeID']] = true
+    }
+  })
+
   $('#tabular-modal-body').show().css({'position' : 'absolute', 'left' : 30, 'top' : 30}).append(`
     <button type="button" class="btn btn-default btn-sm" onClick="$('#tabular-modal-body').html('').hide()">close</>
   `)

From 658283260788b765c8fca544dfdbbe35014e33e4 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 18 Apr 2022 23:21:53 +0000
Subject: [PATCH 0657/1020] build out genome tab structure

---
 anvio/data/interactive/genomeview.html | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 808eca56e3..c6c06e86bc 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -88,7 +88,15 @@
     <div id='tooltip-body' display='none'></div>
     <div id='deepdive-tooltip-body' display='none'></div>
     <div id='lasso-menu-body' display='none'></div>
-    <div id='tabular-modal-body'></div>
+
+    <div id='tabular-modal-body'>
+      <div role="tabpanel" style="margin: 0px;">
+        <ul id='tabular-modal-tab-list' class="nav nav-tabs" role="tablist" style="background-image: url("images/full-bg.png");">
+        </ul>
+      </div>
+      <div id="modal-tab-content"></div>
+      <button type="button" class="btn btn-default btn-sm" onClick="$('#tabular-modal-body').hide()">close</button>
+    </div>
 
     <div id="toggle-panel-settings" onclick="toggleRightPanel('#settings-panel')">
       <span id="toggle-panel-settings-inner">&#9664;</span><span

From 99a49f97cbb8ab8d1b3f61af70048c73a83bef6a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 18 Apr 2022 23:22:16 +0000
Subject: [PATCH 0658/1020] map genomes, create tab for each

---
 anvio/data/interactive/js/genomeview/ui.js | 23 ++++++++++++++++------
 1 file changed, 17 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index a747c356dd..f080373438 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -548,18 +548,29 @@ function show_sequence_modal(title, content) {
 }
 
 function showTabularModal(){
+  $('#tabular-modal-tab-list').html('')
+  $('#modal-tab-content').html('')
+
   var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow')
-  var genomes = Object()
+  var genomesObj = Object()
 
   arrows.map(arrow => {
-    if(!genomes[arrow['genomeID']]){
-      genomes[arrow['genomeID']] = true
+    if(!genomesObj[arrow['genomeID']]){
+      genomesObj[arrow['genomeID']] = true
     }
   })
+  Object.keys(genomesObj).map(genome => {
+    $('#tabular-modal-tab-list').append(`
+      <li role="presentation" class="nav-item">
+        <a href="${genome}" aria-controls="${genome}" role="tab" data-toggle="tab"><span class="glyphicon glyphicon-picture" aria-hidden="false" data-help="${genome}"></span> ${genome}</a>
+      </li>
+    `)
+    $('#modal-tab-content').append(`
+      <div id="${genome}"> lets go ${genome}</div>
+    `)
+  })
 
-  $('#tabular-modal-body').show().css({'position' : 'absolute', 'left' : 30, 'top' : 30}).append(`
-    <button type="button" class="btn btn-default btn-sm" onClick="$('#tabular-modal-body').html('').hide()">close</>
-  `)
+  $('#tabular-modal-body').show().css({'position' : 'absolute', 'left' : 30, 'top' : 30})
 }
 
 function showLassoMenu(selected_genes, x, y) {

From 33481b9ef182f2b03562a8a0eff9f4fd14ce2696 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Apr 2022 00:10:06 +0000
Subject: [PATCH 0659/1020] restructure tab buildout

---
 anvio/data/interactive/genomeview.html | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index c6c06e86bc..d4bb0176e5 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -90,11 +90,13 @@
     <div id='lasso-menu-body' display='none'></div>
 
     <div id='tabular-modal-body'>
-      <div role="tabpanel" style="margin: 0px;">
+      <!-- <div role="tabpanel" style="margin: 0px;">
         <ul id='tabular-modal-tab-list' class="nav nav-tabs" role="tablist" style="background-image: url("images/full-bg.png");">
         </ul>
       </div>
-      <div id="modal-tab-content"></div>
+      <div id="modal-tab-content" class="tab-content"></div> -->
+      <ul class="nav nav-tabs" id="tabular-modal-nav-tabs"></ul>
+      <div id="modal-tab-content" class="tab-content"></div>
       <button type="button" class="btn btn-default btn-sm" onClick="$('#tabular-modal-body').hide()">close</button>
     </div>
 

From 116269183675a43761639d9c938d4f62219481cb Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Apr 2022 00:10:57 +0000
Subject: [PATCH 0660/1020] set active tab, append content not like a doofus

---
 anvio/data/interactive/js/genomeview/ui.js | 15 ++++++++-------
 1 file changed, 8 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index f080373438..ffcc067e5a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -548,7 +548,7 @@ function show_sequence_modal(title, content) {
 }
 
 function showTabularModal(){
-  $('#tabular-modal-tab-list').html('')
+  $('#tabular-modal-nav-tabs').html('')
   $('#modal-tab-content').html('')
 
   var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow')
@@ -559,14 +559,15 @@ function showTabularModal(){
       genomesObj[arrow['genomeID']] = true
     }
   })
-  Object.keys(genomesObj).map(genome => {
-    $('#tabular-modal-tab-list').append(`
-      <li role="presentation" class="nav-item">
-        <a href="${genome}" aria-controls="${genome}" role="tab" data-toggle="tab"><span class="glyphicon glyphicon-picture" aria-hidden="false" data-help="${genome}"></span> ${genome}</a>
-      </li>
+  Object.keys(genomesObj).map((genome, idx) => {
+    $('#tabular-modal-nav-tabs').append(`
+      <li><a data-toggle="tab" href="#${genome}">${genome}</a></li>
     `)
     $('#modal-tab-content').append(`
-      <div id="${genome}"> lets go ${genome}</div>
+      <div id="${genome}" class="tab-pane fade in ${idx == 0 ? 'active' : ''}">
+        <h3>${genome}</h3>
+        <p>Some content.</p>
+      </div>
     `)
   })
 

From 272993687b6cb40e9334ddead0ab9ba81004211a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Apr 2022 00:11:14 +0000
Subject: [PATCH 0661/1020] clean

---
 anvio/data/interactive/genomeview.html | 5 -----
 1 file changed, 5 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index d4bb0176e5..721d31fc9d 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -90,11 +90,6 @@
     <div id='lasso-menu-body' display='none'></div>
 
     <div id='tabular-modal-body'>
-      <!-- <div role="tabpanel" style="margin: 0px;">
-        <ul id='tabular-modal-tab-list' class="nav nav-tabs" role="tablist" style="background-image: url("images/full-bg.png");">
-        </ul>
-      </div>
-      <div id="modal-tab-content" class="tab-content"></div> -->
       <ul class="nav nav-tabs" id="tabular-modal-nav-tabs"></ul>
       <div id="modal-tab-content" class="tab-content"></div>
       <button type="button" class="btn btn-default btn-sm" onClick="$('#tabular-modal-body').hide()">close</button>

From f7d8a88b143a652a0cf79aba59b218ee5c149c3d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Apr 2022 14:27:30 +0000
Subject: [PATCH 0662/1020] while we're here, sort the genes into genomes

---
 anvio/data/interactive/js/genomeview/ui.js | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index ffcc067e5a..0e08d60237 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -556,9 +556,12 @@ function showTabularModal(){
 
   arrows.map(arrow => {
     if(!genomesObj[arrow['genomeID']]){
-      genomesObj[arrow['genomeID']] = true
+      genomesObj[arrow['genomeID']] = [arrow]
+    } else {
+      genomesObj[arrow['genomeID']].push(arrow)
     }
   })
+
   Object.keys(genomesObj).map((genome, idx) => {
     $('#tabular-modal-nav-tabs').append(`
       <li><a data-toggle="tab" href="#${genome}">${genome}</a></li>

From edc8d7f5d9be4fa71297b9204569f702f4ab8369 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Apr 2022 14:46:04 +0000
Subject: [PATCH 0663/1020] stub out genome table population

---
 anvio/data/interactive/js/genomeview/ui.js | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 0e08d60237..7a628bb262 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -569,10 +569,19 @@ function showTabularModal(){
     $('#modal-tab-content').append(`
       <div id="${genome}" class="tab-pane fade in ${idx == 0 ? 'active' : ''}">
         <h3>${genome}</h3>
-        <p>Some content.</p>
+        <table id="${genome}-table"class="table table-striped" style="width: 100%; text-align: center; font-size: 12px; background: white">
+          <thead><th>look at me</th></thead>
+        </table>
       </div>
     `)
   })
+  Object.entries(genomesObj).map((genome, idx) => {
+    let totalTableString = ''
+    genome[1].forEach(gene => {
+      totalTableString += `<tr><td>this is a gene look at me</td></tr>`
+    })
+    $(`#${genome[0]}-table`).append(totalTableString)
+  })
 
   $('#tabular-modal-body').show().css({'position' : 'absolute', 'left' : 30, 'top' : 30})
 }

From c771fa3d4814c77d36e2840063d717088c728ca4 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Apr 2022 17:29:27 +0000
Subject: [PATCH 0664/1020] overflow scroll for large tables

---
 anvio/data/interactive/css/genomeview.css | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index 74a626a956..0356eba3e5 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -264,4 +264,5 @@ a{
     width: 90vw;
     background: white;
     display: none;
+    overflow: scroll;
 }
\ No newline at end of file

From b098036022b845d7ec70ef70eba97d25a5108070 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Apr 2022 17:48:50 +0000
Subject: [PATCH 0665/1020] use bootstrap conventions

---
 anvio/data/interactive/css/genomeview.css | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index 0356eba3e5..f15927ce0e 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -260,9 +260,5 @@ a{
 }
 
 #tabular-modal-body{
-    height: 90vh;
-    width: 90vw;
-    background: white;
-    display: none;
     overflow: scroll;
 }
\ No newline at end of file

From 324953b6bc55ae14353ff9f51121ad0986895f56 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Apr 2022 17:49:07 +0000
Subject: [PATCH 0666/1020] replace adhoc nonsense with existing bootstrap
 logic

---
 anvio/data/interactive/genomeview.html | 22 +++++++++++++++++-----
 1 file changed, 17 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 721d31fc9d..346e8d10e1 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -74,7 +74,7 @@
       <div id="scaleBox" height="140px">
         <svg id="scaleSvg" height="120px"></svg>
       </div>
-      <button onclick="showTabularModal()">Display Viewport Data</button>
+      <button data-toggle="modal" data-target="#tabular-modal-body">Display Viewport Data</button>
       <button id="zoom-out" onclick="zoomOut()" style="float:right">-</button>
       <button id="zoom-in" onclick="zoomIn()" style="float:right; margin-right:5px">+</button>
       <input type="text" class="form-control input-sm" id="brush_start"
@@ -89,10 +89,22 @@
     <div id='deepdive-tooltip-body' display='none'></div>
     <div id='lasso-menu-body' display='none'></div>
 
-    <div id='tabular-modal-body'>
-      <ul class="nav nav-tabs" id="tabular-modal-nav-tabs"></ul>
-      <div id="modal-tab-content" class="tab-content"></div>
-      <button type="button" class="btn btn-default btn-sm" onClick="$('#tabular-modal-body').hide()">close</button>
+    <div id='tabular-modal-body' class="modal">
+      <div class="modal-dialog">
+        <div class="modal-content">
+          <div class="modal-header">
+            <button type="button" class="close" data-dismiss="modal">&times;</button>
+            <h4 class="modal-title">Viewport Genomic Data</h4>
+          </div>
+          <div class="modal-body">
+            <ul class="nav nav-tabs" id="tabular-modal-nav-tabs"></ul>
+            <div id="modal-tab-content" class="tab-content" role="dialog"></div>
+          </div>
+          <div class="modal-footer">
+            <button type="button" class="btn btn-default" data-dismiss="modal">Close</button>
+          </div>
+        </div>
+      </div>
     </div>
 
     <div id="toggle-panel-settings" onclick="toggleRightPanel('#settings-panel')">

From 904c9dd7cea310f77b4e33f21f5e67ca263c21d0 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Apr 2022 17:49:30 +0000
Subject: [PATCH 0667/1020] build out gene-level table data

---
 anvio/data/interactive/js/genomeview/ui.js | 38 +++++++++++++++++-----
 1 file changed, 30 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 7a628bb262..3b52adcaa5 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -263,6 +263,14 @@ function setEventListeners(){
   $('#show_gene_labels_box').attr("checked", showGeneLabels);
   $('#show_dynamic_scale_box').attr("checked", dynamicScaleInterval);
 
+  $("#tabular-modal-body").on('shown.bs.modal', function(){
+    showTabularModal()
+  });
+  $("#tabular-modal-body").on('hide.bs.modal', function(){
+    $('#tabular-modal-nav-tabs').html('')
+    $('#modal-tab-content').html('')
+  });
+
   // can either set arrow click listener on the canvas to check for all arrows, or when arrow is created.
 
   // drag box selection
@@ -548,9 +556,6 @@ function show_sequence_modal(title, content) {
 }
 
 function showTabularModal(){
-  $('#tabular-modal-nav-tabs').html('')
-  $('#modal-tab-content').html('')
-
   var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow')
   var genomesObj = Object()
 
@@ -569,8 +574,17 @@ function showTabularModal(){
     $('#modal-tab-content').append(`
       <div id="${genome}" class="tab-pane fade in ${idx == 0 ? 'active' : ''}">
         <h3>${genome}</h3>
-        <table id="${genome}-table"class="table table-striped" style="width: 100%; text-align: center; font-size: 12px; background: white">
-          <thead><th>look at me</th></thead>
+        <table id="${genome}-table"class="table table-striped" style="width: 100%; text-align: left; font-size: 12px; background: white">
+          <thead>
+            <th>Gene ID</th>
+            <th>Start</th>
+            <th>Stop</th>
+            <th>Direction</th>
+            <th>Contig</th>
+            <th>Source</th>
+          </thead>
+          <tbody id="${genome}-table-body">
+          </tbody>
         </table>
       </div>
     `)
@@ -578,12 +592,20 @@ function showTabularModal(){
   Object.entries(genomesObj).map((genome, idx) => {
     let totalTableString = ''
     genome[1].forEach(gene => {
-      totalTableString += `<tr><td>this is a gene look at me</td></tr>`
+      totalTableString += `
+      <tr>
+        <td>${gene['geneID']}</td>
+        <td>${gene['gene']['start']}</td>
+        <td>${gene['gene']['stop']}</td>
+        <td>${gene['gene']['direction']}</td>
+        <td>${gene['gene']['contig']}</td>
+        <td>${gene['gene']['source']}</td>
+      </tr>`
     })
-    $(`#${genome[0]}-table`).append(totalTableString)
+    $(`#${genome[0]}-table-body`).append(totalTableString)
   })
 
-  $('#tabular-modal-body').show().css({'position' : 'absolute', 'left' : 30, 'top' : 30})
+  // $('#tabular-modal-body').show().css({'position' : 'absolute', 'left' : 30, 'top' : 30})
 }
 
 function showLassoMenu(selected_genes, x, y) {

From cfe643bd1af26f83c681e342889777f5ad34dca6 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Apr 2022 17:50:18 +0000
Subject: [PATCH 0668/1020] clean

---
 anvio/data/interactive/js/genomeview/ui.js | 2 --
 1 file changed, 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 3b52adcaa5..2b6f7234ff 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -604,8 +604,6 @@ function showTabularModal(){
     })
     $(`#${genome[0]}-table-body`).append(totalTableString)
   })
-
-  // $('#tabular-modal-body').show().css({'position' : 'absolute', 'left' : 30, 'top' : 30})
 }
 
 function showLassoMenu(selected_genes, x, y) {

From b85b9f8b76ad1870f55cf958c7e1ae17e0870a3d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Apr 2022 19:43:24 +0000
Subject: [PATCH 0669/1020] bootstrap styling

---
 anvio/data/interactive/genomeview.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 346e8d10e1..f9c961e8a1 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -74,7 +74,7 @@
       <div id="scaleBox" height="140px">
         <svg id="scaleSvg" height="120px"></svg>
       </div>
-      <button data-toggle="modal" data-target="#tabular-modal-body">Display Viewport Data</button>
+      <button data-toggle="modal" data-target="#tabular-modal-body" class="btn btn-default btn-lg">Display Viewport Data</button>
       <button id="zoom-out" onclick="zoomOut()" style="float:right">-</button>
       <button id="zoom-in" onclick="zoomIn()" style="float:right; margin-right:5px">+</button>
       <input type="text" class="form-control input-sm" id="brush_start"

From de94111e2d0fb3fda1b84f57602596daccd5bac4 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Apr 2022 19:59:06 +0000
Subject: [PATCH 0670/1020] more specific

---
 anvio/data/interactive/css/genomeview.css | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index f15927ce0e..fa25db8c3b 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -260,5 +260,5 @@ a{
 }
 
 #tabular-modal-body{
-    overflow: scroll;
+    overflow-y: scroll;
 }
\ No newline at end of file

From 69a91735493cc42ef08ee6103a79d6cbfc34fe81 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Apr 2022 19:59:23 +0000
Subject: [PATCH 0671/1020] bootstrap classes

---
 anvio/data/interactive/genomeview.html | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index f9c961e8a1..44dec06aab 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -90,15 +90,17 @@
     <div id='lasso-menu-body' display='none'></div>
 
     <div id='tabular-modal-body' class="modal">
-      <div class="modal-dialog">
+      <div class="modal-dialog modal-lg">
         <div class="modal-content">
           <div class="modal-header">
             <button type="button" class="close" data-dismiss="modal">&times;</button>
             <h4 class="modal-title">Viewport Genomic Data</h4>
           </div>
-          <div class="modal-body">
-            <ul class="nav nav-tabs" id="tabular-modal-nav-tabs"></ul>
-            <div id="modal-tab-content" class="tab-content" role="dialog"></div>
+          <div class="modal-body" >
+            <div class="container-fluid">
+              <ul class="nav nav-tabs" id="tabular-modal-nav-tabs"></ul>
+              <div id="modal-tab-content" class="tab-content" role="dialog"></div>
+            </div>
           </div>
           <div class="modal-footer">
             <button type="button" class="btn btn-default" data-dismiss="modal">Close</button>

From 3a4cb4d4bf4c99a55a5427264c45a4335e1c8d9d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Apr 2022 19:59:47 +0000
Subject: [PATCH 0672/1020] wire up gene level UI input

---
 anvio/data/interactive/js/genomeview/ui.js | 34 ++++++++++++++++++++++
 1 file changed, 34 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 2b6f7234ff..3715f64f51 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -576,12 +576,16 @@ function showTabularModal(){
         <h3>${genome}</h3>
         <table id="${genome}-table"class="table table-striped" style="width: 100%; text-align: left; font-size: 12px; background: white">
           <thead>
+            <th><input class="form-check-input" type='checkbox'></input> Select</th>
             <th>Gene ID</th>
             <th>Start</th>
             <th>Stop</th>
             <th>Direction</th>
             <th>Contig</th>
             <th>Source</th>
+            <th>Deepdive</th>
+            <th>Glow</th>
+            <th>Color</th>
           </thead>
           <tbody id="${genome}-table-body">
           </tbody>
@@ -592,18 +596,48 @@ function showTabularModal(){
   Object.entries(genomesObj).map((genome, idx) => {
     let totalTableString = ''
     genome[1].forEach(gene => {
+      console.log(gene)
       totalTableString += `
       <tr>
+        <td><input class="form-check-input" type='checkbox'></input></td>
         <td>${gene['geneID']}</td>
         <td>${gene['gene']['start']}</td>
         <td>${gene['gene']['stop']}</td>
         <td>${gene['gene']['direction']}</td>
         <td>${gene['gene']['contig']}</td>
         <td>${gene['gene']['source']}</td>
+        <td><button class="btn btn-default btn-sm" onclick="">Deep Dive</button></td>
+        <td><button class="btn btn-default btn-sm" onclick="">Glow in Sequence</button></td>
+        <td><div id="picker-tabular-modal" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div></td>
       </tr>`
     })
     $(`#${genome[0]}-table-body`).append(totalTableString)
   })
+
+  $('.colorpicker').colpick({
+    layout: 'hex',
+    submit: 0,
+    colorScheme: 'light',
+    onChange: function(hsb, hex, rgb, el, bySetColor) {
+        $(el).css('background-color', '#' + hex);
+        $(el).attr('color', '#' + hex);
+        if (!bySetColor) $(el).val(hex);
+
+        // if(!settings['display']['colors']['genes'][selected_genes[0].genomeID])
+        //   settings['display']['colors']['genes'][selected_genes[0].genomeID] = {};
+        // selected_genes.forEach(gene => {
+        //   gene.fill = '#' + hex;
+        //   gene.dirty = true;
+        //   settings['display']['colors']['genes'][selected_genes[0].genomeID][gene.geneID] = '#' + hex;
+        // });
+        canvas.renderAll();
+    }
+  }).keyup(function() {
+      $(this).colpickSetColor(this.value);
+      // selected_genes.forEach(gene => {
+      //   gene.fill = this.value;
+      // });
+  });
 }
 
 function showLassoMenu(selected_genes, x, y) {

From a111285d7380ee8cac762e2ccb84b2cff9c93b89 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Apr 2022 21:06:55 +0000
Subject: [PATCH 0673/1020] set first tab as active tab

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 3715f64f51..cd983da41e 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -569,7 +569,7 @@ function showTabularModal(){
 
   Object.keys(genomesObj).map((genome, idx) => {
     $('#tabular-modal-nav-tabs').append(`
-      <li><a data-toggle="tab" href="#${genome}">${genome}</a></li>
+      <li class="${idx == 0 ? 'active' : ''}"><a data-toggle="tab" href="#${genome}">${genome}</a></li>
     `)
     $('#modal-tab-content').append(`
       <div id="${genome}" class="tab-pane fade in ${idx == 0 ? 'active' : ''}">

From 91fb4687ee2f9c77cd12d5b1987008e0c465a7da Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 20 Apr 2022 19:17:26 +0000
Subject: [PATCH 0674/1020] hook in hide modal, glow gene functionality

---
 anvio/data/interactive/js/genomeview/drawer.js | 9 +++++++++
 anvio/data/interactive/js/genomeview/ui.js     | 3 +--
 2 files changed, 10 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index dbceca0f5e..86ceed0dae 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -605,6 +605,15 @@ GenomeDrawer.prototype.glowGenes = function (geneParams) {
   canvas.renderAll();
 }
 
+GenomeDrawer.prototype.prepareModalToGlowGene = function(genomeHTMLCollection, geneID){
+  // TODO this htmlcollection nonsense is a very frustrating bug
+  // whereby passing a stringtype var via function call in a jquery string literal template
+  // transforms the data into an html collection array. for now, this ugly bit of code
+  // resolves the issue
+  drawer.glowGenes([{genomeID: genomeHTMLCollection[0]['id'], geneID: geneID}])
+  $('#tabular-modal-body').fadeOut(1000).delay(3000).fadeIn(1000)
+}
+
 /*
  *  Shift genomes horizontally to align genes around the target gene cluster.
  *
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index cd983da41e..7183e5eb41 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -596,7 +596,6 @@ function showTabularModal(){
   Object.entries(genomesObj).map((genome, idx) => {
     let totalTableString = ''
     genome[1].forEach(gene => {
-      console.log(gene)
       totalTableString += `
       <tr>
         <td><input class="form-check-input" type='checkbox'></input></td>
@@ -607,7 +606,7 @@ function showTabularModal(){
         <td>${gene['gene']['contig']}</td>
         <td>${gene['gene']['source']}</td>
         <td><button class="btn btn-default btn-sm" onclick="">Deep Dive</button></td>
-        <td><button class="btn btn-default btn-sm" onclick="">Glow in Sequence</button></td>
+        <td><button class="btn btn-default btn-sm" onclick="drawer.prepareModalToGlowGene(${genome[0]}, ${gene['geneID']})">Glow in Sequence</button></td>
         <td><div id="picker-tabular-modal" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div></td>
       </tr>`
     })

From 05d4bee932fc0ad8af1a7f15f44c03b6e121ae14 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 18:57:22 +0000
Subject: [PATCH 0675/1020] keyboard shortcuts for query, mouseover panes

---
 anvio/data/interactive/js/genomeview/ui.js | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 7183e5eb41..f7174d0559 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -142,6 +142,16 @@ function setEventListeners(){
       toggleSettingsPanel();
     }
   });
+  document.body.addEventListener("keydown", function (ev) {
+    if (ev.which == 77 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // M = 77
+      toggleRightPanel('#mouseover-panel')
+    }
+  });
+  document.body.addEventListener("keydown", function (ev) {
+    if (ev.which == 81 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // Q = 81
+      toggleRightPanel('#query-panel')
+    }
+  });
   $('#genome_spacing').on('keydown', function (e) {
     if (e.keyCode == 13) { // 13 = enter key
       drawer.setGenomeSpacing($(this).val());

From 658be5c2adc7581d3d8af57fbdb6be85625d04c8 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 19:01:56 +0000
Subject: [PATCH 0676/1020] remove boilerplate

---
 anvio/data/interactive/genomeview.html | 61 --------------------------
 1 file changed, 61 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 44dec06aab..bf3e69f631 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -164,49 +164,6 @@ <h4 class="modal-title">Viewport Genomic Data</h4>
               </tr>
             </thead>
             <tbody id="tbody_genomes"></tbody>
-            <tbody id="tbody_bottom">
-              <tr style="height: 30px">
-                <td colspan="9">
-                  <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multiple-layers">Edit
-                    attributes for multiple layers</h4>
-                </td>
-              </tr>
-              <tr>
-                <td></td>
-                <td><input class="select_layer" placeholder="Select Layer" size="12"></td>
-                <td>
-                  <div id="picker_start_multiple" class="colorpicker-base" color="#FFFFFF"
-                    style="background-color: #FFFFFF"></div>
-                  <div id="picker_multiple" class="colorpicker-base" color="#FFFFFF" style="background-color: #FFFFFF">
-                  </div>
-                </td>
-                <td style="width: 50px;">
-                  <select class="type_multiple" style="width: 50px;" class="type">
-                    <option value="">Select</option>
-                    <option value="" disabled>-----Numerical Types-----</option>
-                    <option value="bar">Bar</option>
-                    <option value="intensity">Intensity</option>
-                    <option value="line">Line</option>
-                    <option value="" disabled>-----Categorical Types-----</option>
-                    <option value="color">Color</option>
-                    <option value="text">Text</option>
-                  </select>
-                </td>
-                <td>
-                  <select class="normalization_multiple">
-                    <option value="">Select</option>
-                    <option value="none">none</option>
-                    <option value="sqrt">sqrt</option>
-                    <option value="log">log</option>
-                  </select>
-                </td>
-                <td><input class="input-height-multiple" size="3"></input></td>
-                <td class="column-margin"><input class="input-margin-multiple" size="3"></input></td>
-                <td><input class="input-min-multiple" size="4"></input></td>
-                <td><input class="input-max-multiple" size="4"></input></td>
-                <td><input type="checkbox" class="select_all"></td>
-              </tr>
-            </tbody>
           </table>
         </div>
 
@@ -260,24 +217,6 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;" data-help="edit-multi
             </tr>
           </tbody>
         </table>
-        <span class="settings-header">Bookmarks</span>
-        <table id="bookmarksTable" style="margin-bottom: 20px;">
-          <tbody>
-            <tr id="create_bookmark">
-              <td><input id="create_bookmark_input" class="form-control input-sm" type="text"
-                  placeholder="New bookmark title" style="margin-bottom: 15px;" size="4"></td>
-            <tr id="show_scale">
-              <td><textarea id="create_bookmark_description" class="form-control input-sm" type="text"
-                  placeholder="New bookmark description" style="margin-bottom: 15px; height: 85px;" size="8"></textarea>
-              </td>
-            </tr>
-            <tr id="show_scale">
-              <td style="float: right"><button onclick='createBookmark()'>New Bookmark from Current Position</button>
-              </td>
-            </tr>
-            </tr>
-          </tbody>
-        </table>
 
         <span class="settings-header">Gene arrows</span>
         <p class="settings-section-info">Change colors of genes based on their functional annotations. You can also

From 02bc562b9f7695eff673da80df254812bf7c34ef Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 19:11:11 +0000
Subject: [PATCH 0677/1020] why did I format this like a psychopath

---
 anvio/data/interactive/js/genomeview/ui.js | 58 ++++++++++++++--------
 1 file changed, 37 insertions(+), 21 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index f7174d0559..ece75c720d 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -500,6 +500,8 @@ function showDeepDiveToolTip(event){
 }
 
 function showToolTip(event){
+  console.log('show')
+  $('#mouseover-panel-body').html('')
   let totalAnnotationsString = ''
   if(event.target.functions){
     Object.entries(event.target.functions).map(func => {
@@ -512,31 +514,45 @@ function showToolTip(event){
       `
     })
   }
-  $('#tooltip-body').show().append(`
-    <span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
+  $('#mouseover-panel-body').append(`
     <h2>Gene Call</h2>
     <table class="table table-striped" style="width: 100%; text-align: center;">
-    <thead><th>ID</th><th>Source</th><th>Length</th><th>Direction</th><th>Start</th><th>Stop</th><th>Call type</th><th>Complete</th><th>% in split</th></thead>
-    <tbody>
-    <tr><td>  ${event.target.geneID}
-    </td><td> ${event.target.gene?.source}
-    </td><td> ${event.target.gene.stop - event.target.gene.start}
-    </td><td> ${event.target.gene.direction}
-    </td><td> ${event.target.gene.start}
-    </td><td> ${event.target.gene.stop}
-    </td><td> ${event.target.gene?.call_type}
-    </td><td> ${event.target.gene?.complete_gene_call}
-    </td><td> ${event.target.gene?.percentage_in_split?.toFixed(2) + '%'}
-    </td></tr></tbody></table>;
+      <thead>
+        <th>ID</th>
+        <th>Source</th>
+        <th>Length</th>
+        <th>Direction</th>
+        <th>Start</th>
+        <th>Stop</th>
+        <th>Call type</th>
+        <th>Complete</th>
+        <th>% in split</th>
+      </thead>
+      <tbody>
+        <tr>
+          <td>  ${event.target.geneID}</td>
+          <td> ${event.target.gene?.source}</td>
+          <td> ${event.target.gene.stop - event.target.gene.start}</td>
+          <td> ${event.target.gene.direction}</td>
+          <td> ${event.target.gene.start}</td>
+          <td> ${event.target.gene.stop}</td>
+          <td> ${event.target.gene?.call_type}</td>
+          <td> ${event.target.gene?.complete_gene_call}</td>
+          <td> ${event.target.gene?.percentage_in_split?.toFixed(2) + '%'}</td>
+        </tr>
+      </tbody>
+    </table>;
     <h2>Annotations</h2>;
     <table class="table table-striped">;
-    <thead><th>Source</th>;
-    <th>Accession</th>;
-    <th>Annotation</th></thead>;
-    <tbody>;
-    ${totalAnnotationsString}
-    </tbody></table>
-
+      <thead>
+        <th>Source</th>;
+        <th>Accession</th>;
+        <th>Annotation</th>
+      </thead>;
+      <tbody>;
+        ${totalAnnotationsString}
+      </tbody>
+    </table>
     `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY, 'max-width': '600px' })
 }
 

From e837c3a7b64761647849c636ab89072113d2b521 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 19:12:21 +0000
Subject: [PATCH 0678/1020] you too buddy

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index ece75c720d..a4b46d685f 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -530,7 +530,7 @@ function showToolTip(event){
       </thead>
       <tbody>
         <tr>
-          <td>  ${event.target.geneID}</td>
+          <td> ${event.target.geneID}</td>
           <td> ${event.target.gene?.source}</td>
           <td> ${event.target.gene.stop - event.target.gene.start}</td>
           <td> ${event.target.gene.direction}</td>

From 1ed0f80b275a9fdc3055380af672e8112c45be3a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 19:12:53 +0000
Subject: [PATCH 0679/1020] more formatting

---
 anvio/data/interactive/js/genomeview/ui.js | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index a4b46d685f..4cf626c5dd 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -507,9 +507,9 @@ function showToolTip(event){
     Object.entries(event.target.functions).map(func => {
       totalAnnotationsString += `
       <tr>
-      <td>${func[0]}</td>
-      <td>${func[1] ? func[1][0] : 'n/a'}</td>
-      <td>${func?.[1]?.[1]}</td>
+        <td>${func[0]}</td>
+        <td>${func[1] ? func[1][0] : 'n/a'}</td>
+        <td>${func?.[1]?.[1]}</td>
       </tr>
       `
     })

From 24aec132b228d57a5a048294a10ff05cd4deb3f7 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 19:33:53 +0000
Subject: [PATCH 0680/1020] cleanup

---
 anvio/data/interactive/genomeview.html | 25 ++++++++++++++++++++++++-
 1 file changed, 24 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index bf3e69f631..ea7f1fb870 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -508,7 +508,30 @@ <h4 class="modal-title">Viewport Genomic Data</h4>
         style="display: block; font-size: 11px; transform: rotate(90deg);"><u>M</u>OUSEOVER</span>
     </div>
     <div id="mouseover-panel">
-      <h1>mouse</h1>
+      <h2>Gene Call</h2>
+      <table class="table table-striped" style="width: 100%; text-align: center;">
+        <thead>
+          <th>ID</th>
+          <th>Source</th>
+          <th>Length</th>
+          <th>Direction</th>
+          <th>Start</th>
+          <th>Stop</th>
+          <th>Call type</th>
+        </thead>
+        <tbody id='mouseover-panel-table-body'>
+        </tbody>
+      </table>
+      <h2>Annotations</h2>
+      <table class="table table-striped" style="width: 100%; text-align: center;">
+        <thead>
+          <th>Source</th>
+          <th>Accession</th>
+          <th>Annotation</th>
+        </thead>
+        <tbody id="mouseover-panel-annotations-table-body">
+        </tbody>
+      </table>
     </div>
     <!-- LOAD STATE -->
     <div class="modal fade" id="modLoadState" style="display: none">

From 4e3a176885034a7f5195729df3f6de24832f80a0 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 19:34:03 +0000
Subject: [PATCH 0681/1020] migrate ephemeral tt to mouse panel

---
 anvio/data/interactive/js/genomeview/ui.js | 56 ++++++----------------
 1 file changed, 14 insertions(+), 42 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 4cf626c5dd..620f24a176 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -500,8 +500,8 @@ function showDeepDiveToolTip(event){
 }
 
 function showToolTip(event){
-  console.log('show')
-  $('#mouseover-panel-body').html('')
+  $('#mouseover-panel-table-body').html('')
+  $('#mouseover-panel-annotations-table-body').html('')
   let totalAnnotationsString = ''
   if(event.target.functions){
     Object.entries(event.target.functions).map(func => {
@@ -514,46 +514,18 @@ function showToolTip(event){
       `
     })
   }
-  $('#mouseover-panel-body').append(`
-    <h2>Gene Call</h2>
-    <table class="table table-striped" style="width: 100%; text-align: center;">
-      <thead>
-        <th>ID</th>
-        <th>Source</th>
-        <th>Length</th>
-        <th>Direction</th>
-        <th>Start</th>
-        <th>Stop</th>
-        <th>Call type</th>
-        <th>Complete</th>
-        <th>% in split</th>
-      </thead>
-      <tbody>
-        <tr>
-          <td> ${event.target.geneID}</td>
-          <td> ${event.target.gene?.source}</td>
-          <td> ${event.target.gene.stop - event.target.gene.start}</td>
-          <td> ${event.target.gene.direction}</td>
-          <td> ${event.target.gene.start}</td>
-          <td> ${event.target.gene.stop}</td>
-          <td> ${event.target.gene?.call_type}</td>
-          <td> ${event.target.gene?.complete_gene_call}</td>
-          <td> ${event.target.gene?.percentage_in_split?.toFixed(2) + '%'}</td>
-        </tr>
-      </tbody>
-    </table>;
-    <h2>Annotations</h2>;
-    <table class="table table-striped">;
-      <thead>
-        <th>Source</th>;
-        <th>Accession</th>;
-        <th>Annotation</th>
-      </thead>;
-      <tbody>;
-        ${totalAnnotationsString}
-      </tbody>
-    </table>
-    `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY, 'max-width': '600px' })
+  $('#mouseover-panel-table-body').append(`
+    <tr>
+      <td> ${event.target.geneID}</td>
+      <td> ${event.target.gene?.source}</td>
+      <td> ${event.target.gene.stop - event.target.gene.start}</td>
+      <td> ${event.target.gene.direction}</td>
+      <td> ${event.target.gene.start}</td>
+      <td> ${event.target.gene.stop}</td>
+      <td> ${event.target.gene?.call_type}</td>
+    </tr>
+  `)
+  $('#mouseover-panel-annotations-table-body').append(totalAnnotationsString)
 }
 
 function show_sequence_modal(title, content) {

From eed1dddc781bc02ad36452c96adc4d0575e196a3 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 19:34:27 +0000
Subject: [PATCH 0682/1020] deprecated event listener

---
 anvio/data/interactive/js/genomeview/ui.js | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 620f24a176..d37d7b3a8a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -33,9 +33,6 @@ function setEventListeners(){
     }
   })
 
-  canvas.on('mouse:out', (event) => {
-    $('#tooltip-body').html('').hide()
-  })
   // panning
   canvas.on('mouse:down', function (opt) {
     var evt = opt.e;

From 3a65efe7f11b6b8f306a331766c0465280744870 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 19:55:50 +0000
Subject: [PATCH 0683/1020] convert deepdive tooltip to modal

---
 anvio/data/interactive/js/genomeview/ui.js | 42 +++++++++++++---------
 1 file changed, 25 insertions(+), 17 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index d37d7b3a8a..7416418742 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -302,15 +302,13 @@ function setEventListeners(){
   })
 }
 function showDeepDiveToolTip(event){
-
   $('.canvas-container').dblclick(function(){
     if($("#deepdive-tooltip-body").is(":visible")){
       $("#deepdive-tooltip-body").hide()
     }
   })
 
-  $('#tooltip-body').html('').hide() // empty out & hide any previous tooltip instances
-  $('#deepdive-tooltip-body').html('').hide()
+  $('#deepdive-modal-tab-content').html('')
   let totalMetadataString = String()
   let totalAnnotationsString = String()
   let metadataLabel = String()
@@ -343,21 +341,32 @@ function showDeepDiveToolTip(event){
     })
   }
 
-  $('#deepdive-tooltip-body').show().append(`
+  $('#deepdive-modal-body').modal('show')
+  $('#deepdive-modal-tab-content').append(`
   <span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
   <h2>Gene Call</h2>
   <table class="table table-striped" style="width: 100%; text-align: center;">
-  <thead><th>ID</th><th>Source</th><th>Length</th><th>Direction</th><th>Start</th><th>Stop</th><th>Call type</th><th>Complete</th></thead>
-  <tbody>
-  <tr><td>  ${event.target.geneID}
-  </td><td> ${event.target.gene?.source}
-  </td><td> ${event.target.gene.stop - event.target.gene.start}
-  </td><td> ${event.target.gene.direction}
-  </td><td> ${event.target.gene.start}
-  </td><td> ${event.target.gene.stop}
-  </td><td> ${event.target.gene?.call_type}
-  </td><td> ${event.target.gene?.complete_gene_call}
-  </td></tr></tbody></table>;
+    <thead>
+      <th>ID</th>
+      <th>Source</th>
+      <th>Length</th>
+      <th>Direction</th>
+      <th>Start</th>
+      <th>Stop</th>
+      <th>Call type</th>
+    </thead>
+    <tbody>
+      <tr>
+        <td>${event.target.geneID}</td>
+        <td>${event.target.gene?.source}</td>
+        <td>${event.target.gene.stop - event.target.gene.start}</td>
+        <td>${event.target.gene.direction}</td>
+        <td>${event.target.gene.start}</td>
+        <td>${event.target.gene.stop}</td>
+        <td>${event.target.gene?.call_type}</td>
+      </tr>
+    </tbody>
+  </table>;
 
   <button type="button" id="gene-dna-sequence-button"class="btn btn-default btn-sm" >DNA</button>
   <button type="button" id="gene-aa-sequence-button" class="btn btn-default btn-sm" >AA</button>
@@ -395,8 +404,7 @@ function showDeepDiveToolTip(event){
   <tbody>;
   ${totalAnnotationsString}
   </tbody></table>;
-  <button type="button" class="btn btn-default btn-sm" onClick="$('#deepdive-tooltip-body').html('').hide()">close</>
-  `).css({'position' : 'absolute', 'left' : window.innerWidth/2 -200, 'top' : window.innerHeight/2 -200, 'max-width': '600px'}) // display deepdive tooltip roughly centered in viewport
+  `)
 
   $('#metadata-query').on('click', function(){
     drawer.queryMetadata(metadataLabel)

From 3f30f349bfb9bdbc8cef70bca72edd4236863ac6 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 19:56:02 +0000
Subject: [PATCH 0684/1020] frame out modal html structure

---
 anvio/data/interactive/genomeview.html | 22 +++++++++++++++++++++-
 1 file changed, 21 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index ea7f1fb870..7edb0a4da8 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -86,7 +86,27 @@
       <p id='bookmark-description' style="width: 300px; float:left; margin-left:10px; font-size: large;"></p>
     </div>
     <div id='tooltip-body' display='none'></div>
-    <div id='deepdive-tooltip-body' display='none'></div>
+    <!-- <div id='deepdive-tooltip-body' display='none'> -->
+      <div id='deepdive-modal-body' class="modal">
+        <div class="modal-dialog modal-lg">
+          <div class="modal-content">
+            <div class="modal-header">
+              <button type="button" class="close" data-dismiss="modal">&times;</button>
+              <h4 class="modal-title">Deepdive Tooltip</h4>
+            </div>
+            <div class="modal-body" >
+              <div class="container-fluid">
+                <ul class="nav nav-tabs" id="tabular-modal-nav-tabs"></ul>
+                <div id="deepdive-modal-tab-content" class="tab-content" role="dialog"></div>
+              </div>
+            </div>
+            <div class="modal-footer">
+              <button type="button" class="btn btn-default" data-dismiss="modal">Close</button>
+            </div>
+          </div>
+        </div>
+      </div>
+    <!-- </div> -->
     <div id='lasso-menu-body' display='none'></div>
 
     <div id='tabular-modal-body' class="modal">

From 5b103fd28845d47ea75ce5fc52a84d6819f8e9b8 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 19:56:44 +0000
Subject: [PATCH 0685/1020] clean

---
 anvio/data/interactive/genomeview.html | 2 --
 1 file changed, 2 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 7edb0a4da8..26f0134142 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -86,7 +86,6 @@
       <p id='bookmark-description' style="width: 300px; float:left; margin-left:10px; font-size: large;"></p>
     </div>
     <div id='tooltip-body' display='none'></div>
-    <!-- <div id='deepdive-tooltip-body' display='none'> -->
       <div id='deepdive-modal-body' class="modal">
         <div class="modal-dialog modal-lg">
           <div class="modal-content">
@@ -106,7 +105,6 @@ <h4 class="modal-title">Deepdive Tooltip</h4>
           </div>
         </div>
       </div>
-    <!-- </div> -->
     <div id='lasso-menu-body' display='none'></div>
 
     <div id='tabular-modal-body' class="modal">

From 403e41ad56a960ebbd9e09f1cdac23ad863622d7 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 19:57:31 +0000
Subject: [PATCH 0686/1020] formatting

---
 anvio/data/interactive/js/genomeview/ui.js | 15 +++++++++------
 1 file changed, 9 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 7416418742..56b3b855b4 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -398,12 +398,15 @@ function showDeepDiveToolTip(event){
 
   <h2>Annotations</h2>;
   <table class="table table-striped">;
-  <thead><th>Source</th>;
-  <th>Accession</th>;
-  <th>Annotation</th></thead>;
-  <tbody>;
-  ${totalAnnotationsString}
-  </tbody></table>;
+    <thead>
+      <th>Source</th>;
+      <th>Accession</th>;
+      <th>Annotation</th>
+    </thead>;
+    <tbody>;
+      ${totalAnnotationsString}
+    </tbody>
+  </table>;
   `)
 
   $('#metadata-query').on('click', function(){

From 037eeaf5dc036ded956b502628b7ecb27e7b4ed6 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 20:18:54 +0000
Subject: [PATCH 0687/1020] fix

---
 anvio/data/interactive/genomeview.html | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 26f0134142..3abb71a4c3 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -95,7 +95,6 @@ <h4 class="modal-title">Deepdive Tooltip</h4>
             </div>
             <div class="modal-body" >
               <div class="container-fluid">
-                <ul class="nav nav-tabs" id="tabular-modal-nav-tabs"></ul>
                 <div id="deepdive-modal-tab-content" class="tab-content" role="dialog"></div>
               </div>
             </div>

From 91d7b854c84aa9301194ac8153cf8b6274175159 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 20:40:23 +0000
Subject: [PATCH 0688/1020] styling

---
 anvio/data/interactive/css/genomeview.css | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index fa25db8c3b..7389c88f19 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -261,4 +261,11 @@ a{
 
 #tabular-modal-body{
     overflow-y: scroll;
+}
+
+.modal-multiselect-col{
+    display: flex;
+    flex-direction: column;
+    width: 40%;
+    margin: 15px;
 }
\ No newline at end of file

From 2e418839be7d2437b0b3f5a8a171ce4bedf48bf5 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 20:43:44 +0000
Subject: [PATCH 0689/1020] tabular modal multiselect section

---
 anvio/data/interactive/genomeview.html | 14 ++++++++++++++
 1 file changed, 14 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 3abb71a4c3..8bccbe3917 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -116,6 +116,20 @@ <h4 class="modal-title">Viewport Genomic Data</h4>
           <div class="modal-body" >
             <div class="container-fluid">
               <ul class="nav nav-tabs" id="tabular-modal-nav-tabs"></ul>
+              <div id="modal-multiselect-content" class="tab-content" role="dialog">
+                <div class="modal-multiselect-col">
+                  <button class="btn btn-default p-3">Glow selected in sequence</button>
+                  <button class="btn btn-default p-3">Export selected as contig.db</button>
+                </div>
+                <div>
+                  <input type='text' placeholder='metadata tag'/>
+                  <button class="btn btn-default">Add metadata tag to selected</button>
+                </div>
+                <div>
+                  <div id="multiselect-picker-tabular-modal" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div>
+                  <button class="btn btn-default">Color selected</button>
+                </div>
+              </div>
               <div id="modal-tab-content" class="tab-content" role="dialog"></div>
             </div>
           </div>

From f38048dd5929ec0bd01183315066203c50ad5379 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 21:04:16 +0000
Subject: [PATCH 0690/1020] hook in multiselect method

---
 anvio/data/interactive/genomeview.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 8bccbe3917..fb032a6852 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -118,7 +118,7 @@ <h4 class="modal-title">Viewport Genomic Data</h4>
               <ul class="nav nav-tabs" id="tabular-modal-nav-tabs"></ul>
               <div id="modal-multiselect-content" class="tab-content" role="dialog">
                 <div class="modal-multiselect-col">
-                  <button class="btn btn-default p-3">Glow selected in sequence</button>
+                  <button class="btn btn-default p-3" onclick="gatherTabularModalSelectedItems('glow')">Glow selected in sequence</button>
                   <button class="btn btn-default p-3">Export selected as contig.db</button>
                 </div>
                 <div>

From b744fac8d0bce0c00088c8189dc81abe7f78b8c0 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 21:04:50 +0000
Subject: [PATCH 0691/1020] multiselect functionality

---
 anvio/data/interactive/js/genomeview/ui.js | 24 ++++++++++++++++++++--
 1 file changed, 22 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 56b3b855b4..8b71618e2f 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -604,7 +604,7 @@ function showTabularModal(){
     genome[1].forEach(gene => {
       totalTableString += `
       <tr>
-        <td><input class="form-check-input" type='checkbox'></input></td>
+        <td><input class="form-check-input" id="${genome[0]}-${gene['geneID']}" value="${genome[0]}-${gene['geneID']}" type='checkbox'></input></td>
         <td>${gene['geneID']}</td>
         <td>${gene['gene']['start']}</td>
         <td>${gene['gene']['stop']}</td>
@@ -612,7 +612,6 @@ function showTabularModal(){
         <td>${gene['gene']['contig']}</td>
         <td>${gene['gene']['source']}</td>
         <td><button class="btn btn-default btn-sm" onclick="">Deep Dive</button></td>
-        <td><button class="btn btn-default btn-sm" onclick="drawer.prepareModalToGlowGene(${genome[0]}, ${gene['geneID']})">Glow in Sequence</button></td>
         <td><div id="picker-tabular-modal" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div></td>
       </tr>`
     })
@@ -645,6 +644,27 @@ function showTabularModal(){
   });
 }
 
+function gatherTabularModalSelectedItems(action){
+  let targetedGenes = []
+  $('#modal-tab-content :checked').each(function(){
+    let [genome, gene] = $(this).val().split('-')
+    targetedGenes.push({genomeID: genome, geneID: gene})
+  })
+
+  switch (action) {
+    case 'glow':
+      drawer.glowGenes(targetedGenes)
+      $('#tabular-modal-body').fadeOut(1000).delay(3000).fadeIn(1000)
+      break;
+    case 'color':
+      break;
+    case 'metadata':
+      break;
+    default:
+      break;
+  }
+}
+
 function showLassoMenu(selected_genes, x, y) {
   //x = 600;
   //y = 200;

From e1bb340074f9d6ed5dde20113fee5f2390ab392d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 21:05:10 +0000
Subject: [PATCH 0692/1020] deprecated (thank goodness!)

---
 anvio/data/interactive/js/genomeview/drawer.js | 9 ---------
 1 file changed, 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 86ceed0dae..dbceca0f5e 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -605,15 +605,6 @@ GenomeDrawer.prototype.glowGenes = function (geneParams) {
   canvas.renderAll();
 }
 
-GenomeDrawer.prototype.prepareModalToGlowGene = function(genomeHTMLCollection, geneID){
-  // TODO this htmlcollection nonsense is a very frustrating bug
-  // whereby passing a stringtype var via function call in a jquery string literal template
-  // transforms the data into an html collection array. for now, this ugly bit of code
-  // resolves the issue
-  drawer.glowGenes([{genomeID: genomeHTMLCollection[0]['id'], geneID: geneID}])
-  $('#tabular-modal-body').fadeOut(1000).delay(3000).fadeIn(1000)
-}
-
 /*
  *  Shift genomes horizontally to align genes around the target gene cluster.
  *

From 1feb2a636557a54c3fae1a57d5a10e76b0fe0959 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 21:06:25 +0000
Subject: [PATCH 0693/1020] remove glow functionality from individual rows

---
 anvio/data/interactive/js/genomeview/ui.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 8b71618e2f..8cc712818a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -590,7 +590,6 @@ function showTabularModal(){
             <th>Contig</th>
             <th>Source</th>
             <th>Deepdive</th>
-            <th>Glow</th>
             <th>Color</th>
           </thead>
           <tbody id="${genome}-table-body">

From 2a54d67edc3fba9c82d9ee7303e6de1d0f0fca04 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 21:47:44 +0000
Subject: [PATCH 0694/1020] framework for functional annotations in tabular
 modal

---
 anvio/data/interactive/js/genomeview/ui.js | 29 +++++++++++++++++++---
 1 file changed, 26 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 8cc712818a..e1f032efc5 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -564,6 +564,7 @@ function show_sequence_modal(title, content) {
 function showTabularModal(){
   var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow')
   var genomesObj = Object()
+  var functionSourcesArr = Array()
 
   arrows.map(arrow => {
     if(!genomesObj[arrow['genomeID']]){
@@ -571,6 +572,18 @@ function showTabularModal(){
     } else {
       genomesObj[arrow['genomeID']].push(arrow)
     }
+    if(arrow['functions']){
+      Object.keys(arrow['functions']).forEach(source => {
+        if(!functionSourcesArr.includes(source)){
+          functionSourcesArr.push(source)
+        }
+      })
+    }
+  })
+
+  let sourcesString = String()
+  functionSourcesArr.map(s => {
+    sourcesString += `<th>${s}<th>`
   })
 
   Object.keys(genomesObj).map((genome, idx) => {
@@ -588,7 +601,7 @@ function showTabularModal(){
             <th>Stop</th>
             <th>Direction</th>
             <th>Contig</th>
-            <th>Source</th>
+            {sourcesString}
             <th>Deepdive</th>
             <th>Color</th>
           </thead>
@@ -599,8 +612,18 @@ function showTabularModal(){
     `)
   })
   Object.entries(genomesObj).map((genome, idx) => {
-    let totalTableString = ''
+    let totalTableString = String()
+    let totalAnnotationsString = String()
     genome[1].forEach(gene => {
+      console.log(gene)
+      if(gene['functions']){
+        Object.entries(gene['functions']).forEach(func => {
+          totalAnnotationsString += `
+            <td>${func[1] ? func[1][0] : 'n/a'} || ${func?.[1]?.[1]}</td>
+          `
+        })
+      }
+
       totalTableString += `
       <tr>
         <td><input class="form-check-input" id="${genome[0]}-${gene['geneID']}" value="${genome[0]}-${gene['geneID']}" type='checkbox'></input></td>
@@ -609,7 +632,7 @@ function showTabularModal(){
         <td>${gene['gene']['stop']}</td>
         <td>${gene['gene']['direction']}</td>
         <td>${gene['gene']['contig']}</td>
-        <td>${gene['gene']['source']}</td>
+        {totalAnnotationsString}
         <td><button class="btn btn-default btn-sm" onclick="">Deep Dive</button></td>
         <td><div id="picker-tabular-modal" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div></td>
       </tr>`

From d356eeef922dfdba403263ea5785435712d21e16 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 22:05:14 +0000
Subject: [PATCH 0695/1020] pass gene/genome identifier to deepdive btn

---
 anvio/data/interactive/js/genomeview/ui.js | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index e1f032efc5..5b5c4cdb6e 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -615,7 +615,6 @@ function showTabularModal(){
     let totalTableString = String()
     let totalAnnotationsString = String()
     genome[1].forEach(gene => {
-      console.log(gene)
       if(gene['functions']){
         Object.entries(gene['functions']).forEach(func => {
           totalAnnotationsString += `
@@ -633,7 +632,7 @@ function showTabularModal(){
         <td>${gene['gene']['direction']}</td>
         <td>${gene['gene']['contig']}</td>
         {totalAnnotationsString}
-        <td><button class="btn btn-default btn-sm" onclick="">Deep Dive</button></td>
+        <td><button class="btn btn-default btn-sm" id="${genome[0]}-${gene['geneID']}" onclick=transitionTabularModalToDeepdive(event)>Deep Dive</button></td>
         <td><div id="picker-tabular-modal" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div></td>
       </tr>`
     })
@@ -687,6 +686,10 @@ function gatherTabularModalSelectedItems(action){
   }
 }
 
+function transitionTabularModalToDeepdive(event){
+  console.log(event.target.id)
+}
+
 function showLassoMenu(selected_genes, x, y) {
   //x = 600;
   //y = 200;

From 28298ca719f13f42778d5fcc1eb5710beb6479f9 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Thu, 28 Apr 2022 22:29:39 +0000
Subject: [PATCH 0696/1020] generate gene data obj for deepdive, transition
 over

---
 anvio/data/interactive/js/genomeview/ui.js | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 5b5c4cdb6e..c6a7c68e1d 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -687,7 +687,16 @@ function gatherTabularModalSelectedItems(action){
 }
 
 function transitionTabularModalToDeepdive(event){
-  console.log(event.target.id)
+  let [genomeID, geneID] = event.target.id.split('-')
+  let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == genomeID)
+
+  // this object generation is to mimick the expected behavior of a click event that the deepdive tooltip expects
+  let generatedEventObj = {}
+  generatedEventObj.target = {}
+  generatedEventObj.target.gene = genomeOfInterest[0][1]['genes']['dna'][geneID]
+  generatedEventObj.target.functions = genomeOfInterest[0][1]['genes']['functions'][geneID]
+  $('#tabular-modal-body').modal('hide')
+  showDeepDiveToolTip(generatedEventObj)
 }
 
 function showLassoMenu(selected_genes, x, y) {

From 57df52f39a666f54183f4ae5f85b93a61b0389ed Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 29 Apr 2022 20:32:55 +0000
Subject: [PATCH 0697/1020] trying out dropdown functionality in tabular modal

---
 anvio/data/interactive/js/genomeview/ui.js | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index c6a7c68e1d..2f7aaad425 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -601,7 +601,7 @@ function showTabularModal(){
             <th>Stop</th>
             <th>Direction</th>
             <th>Contig</th>
-            {sourcesString}
+            ${sourcesString}
             <th>Deepdive</th>
             <th>Color</th>
           </thead>
@@ -616,9 +616,12 @@ function showTabularModal(){
     let totalAnnotationsString = String()
     genome[1].forEach(gene => {
       if(gene['functions']){
-        Object.entries(gene['functions']).forEach(func => {
+        Object.entries(gene['functions']).forEach((func, idx) => {
           totalAnnotationsString += `
-            <td>${func[1] ? func[1][0] : 'n/a'} || ${func?.[1]?.[1]}</td>
+            <td>
+              ${func[1] ? func[1][0].slice(0,20) : 'n/a'} || ${func?.[1]?.[1].slice(0,20)} <button class="btn" type="button" data-toggle="collapse" data-target="#collapse-${idx}" aria-expanded="false" aria-controls="collapse-${idx}">▼</button>
+              <div class="collapse" id="collapse-${idx}">${func?.[1]?.[0]}|| ${func?.[1]?.[1]}</div>
+            </td>
           `
         })
       }
@@ -631,7 +634,7 @@ function showTabularModal(){
         <td>${gene['gene']['stop']}</td>
         <td>${gene['gene']['direction']}</td>
         <td>${gene['gene']['contig']}</td>
-        {totalAnnotationsString}
+        ${totalAnnotationsString}
         <td><button class="btn btn-default btn-sm" id="${genome[0]}-${gene['geneID']}" onclick=transitionTabularModalToDeepdive(event)>Deep Dive</button></td>
         <td><div id="picker-tabular-modal" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div></td>
       </tr>`

From ccc7736af77e73af1e65ae107a428746a41f3164 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 20 May 2022 19:20:26 +0000
Subject: [PATCH 0698/1020] refactor to match updated processed state obj

---
 anvio/data/interactive/js/genomeview/ui.js | 32 ++++++++++++----------
 1 file changed, 18 insertions(+), 14 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 2f7aaad425..b386bf6bab 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -79,7 +79,7 @@ function setEventListeners(){
     var gid = opt.target ? opt.target.groupID : null;
     if (gid == null) return;
 
-    if (opt.target.id == 'genomeLine' || (opt.target.id == 'arrow' && arrowStyle == 3)) canvas.sendBackwards(opt.target);
+    if (opt.target.id == 'genomeLine' || (opt.target.id == 'arrow' && settings['display']?.['arrowStyle'] == 3)) canvas.sendBackwards(opt.target);
     if (this.shades) {
       drawer.clearShades();
       this.shades = false;
@@ -314,20 +314,24 @@ function showDeepDiveToolTip(event){
   let metadataLabel = String()
   let button = `<button type='button' id='metadata-query' class='btn btn-default btn-sm'>Query Sequence for matches</button>`
 
-  let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID )
-  const createMetadataContent = () => {
-    geneMetadata.map(metadata => {
-      metadataLabel = metadata.label
-
-      totalMetadataString += `
-      <tr>
-      <td>${metadata.label}</td>
-      <td>${metadata.type == 'tag'? button : 'n/a'}</td>
-      </tr>
-      `
-    })
+  if(settings['display']?.['metadata']){
+    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID )
+    const createMetadataContent = () => {
+      geneMetadata.map(metadata => {
+        metadataLabel = metadata.label
+
+        totalMetadataString += `
+        <tr>
+        <td>${metadata.label}</td>
+        <td>${metadata.type == 'tag'? button : 'n/a'}</td>
+        </tr>
+        `
+      })
+    }
+    createMetadataContent()
+  } else { // create metadata array on first tooltip load if none exists
+    settings['display']['metadata'] = []
   }
-  createMetadataContent()
 
   if(event.target.functions){
     Object.entries(event.target.functions).map(func => {

From 03a16ba6dd01c15cb54321e0a2d89d516d5b4941 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 17:35:01 +0000
Subject: [PATCH 0699/1020] update serialized state obj

---
 anvio/data/interactive/js/genomeview/main.js | 106 ++++++++++---------
 1 file changed, 54 insertions(+), 52 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 8ad4e29a8d..65d88fb608 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -184,47 +184,49 @@ function serializeSettings() {
   // then we update them as necessary below in processState
   let state = {}
 
-  state['genome-spacing'] = $('#genome_spacing').val()
-  state['order-method'] = $('#genome_order_select').val()
-  state['dynamic-scale-interval'] = $('#show_dynamic_scale_box').is(':checked')
-  state['genome-scale-interval'] = $('#genome_scale_interval').val()
-  state['arrow-style'] = $('#arrow_style').val()
   state['group-layer-order'] = settings['group-layer-order']
-  state['bookmarks'] = settings['display']['bookmarks']
   state['genome-order'] = settings['genomeData']['genomes']
   state['display'] = settings['display']
-  state['gene-link-style'] = $('#link_style').val()
-  state['gene-shade-style'] = $('#shade_by').val()
-  state['show-genome-labels'] = $('#show_genome_labels_box').is(':checked')
-  state['genome-label-size'] = $('#genome_label').val()
-  state['genome-label-color'] = $('#genome_label_color').attr(':color')
-  state['show-gene-labels'] = $('#show_gene_labels_box').is(':checked')
-  state['gene-label-size'] = $('#gene_label').val()
-  state['gene-label-color'] = $('#gene_label_color').attr(':color')
-  state['gene-text-position'] = $('#gene_text_pos').val()
-  state['gc-window-size'] = $('#gc_window_size').val()
-  state['gc-step-size'] = $('#gc_step_size').val()
-  state['gc-overlay-color'] = $('#gc_overlay_color').attr(':color')
-  state['gene-color-order'] = $('#gene_color_order').val()
-  state['gene-label-source'] = $('#gene_label_source').val()
-  state['link-gene-label-color-source'] = $('#link_gene_label_color_source').is(':checked')
-  state['annotation-color-dict'] = []
+  state['display']['bookmarks'] = settings['display']['bookmarks']
+  state['display']['metadata'] = settings['display']['metadata']
+
+  state['display']['order-method'] = $('#genome_order_select').val()
+  state['display']['dynamic-scale-interval'] = $('#show_dynamic_scale_box').is(':checked')
+  state['display']['genome-scale-interval'] = $('#genome_scale_interval').val()
+  state['display']['genome-spacing'] = $('#genome_spacing').val()
+  state['display']['arrow-style'] = $('#arrow_style').val()
+  state['display']['gene-link-style'] = $('#link_style').val()
+  state['display']['gene-shade-style'] = $('#shade_by').val()
+  state['display']['show-genome-labels'] = $('#show_genome_labels_box').is(':checked')
+  state['display']['genome-label-size'] = $('#genome_label').val()
+  state['display']['genome-label-color'] = $('#genome_label_color').attr(':color')
+  state['display']['show-gene-labels'] = $('#show_gene_labels_box').is(':checked')
+  state['display']['gene-label-size'] = $('#gene_label').val()
+  state['display']['gene-label-color'] = $('#gene_label_color').attr(':color')
+  state['display']['gene-text-position'] = $('#gene_text_pos').val()
+  state['display']['gc-window-size'] = $('#gc_window_size').val()
+  state['display']['gc-step-size'] = $('#gc_step_size').val()
+  state['display']['gc-overlay-color'] = $('#gc_overlay_color').attr(':color')
+  state['display']['gene-color-order'] = $('#gene_color_order').val()
+  state['display']['gene-label-source'] = $('#gene_label_source').val()
+  state['display']['link-gene-label-color-source'] = $('#link_gene_label_color_source').is(':checked')
+  state['display']['annotation-color-dict'] = []
 
   $('.annotation_color').each((idx, row) => {
     let color = $(row).attr('color')
     let id = ($(row).attr('id').split('_')[1])
-    state['annotation-color-dict'].push({
+    state['display']['annotation-color-dict'].push({
       id : id,
       color : color
     })
   })
 
-  state['display']['metadata'] = settings['display']['metadata']
   return state
 }
 
 function processState(stateName, stateData) {
   settings['state-name'] = stateName
+  console.log('processing this state obj', stateData)
 
   calculateMaxGenomeLength()
   if (stateData.hasOwnProperty('group-layer-order')) {
@@ -251,24 +253,24 @@ function processState(stateName, stateData) {
     settings['genomeData']['genomes'] = stateData['genome-order']
   }
 
-  if (stateData.hasOwnProperty('display')) {
+  if (stateData?.['display']) {
     settings['display'] = stateData['display']
   }
 
-  if (stateData.hasOwnProperty('genome-spacing')){
-    settings['display']['genome-spacing'] = stateData['genome-spacing']
-  }
+  // if (stateData.hasOwnProperty('genome-spacing')){
+  //   settings['display']['genome-spacing'] = stateData['genome-spacing']
+  // }
 
-  if (stateData.hasOwnProperty('arrow-style')){
-    settings['display']['arrow-style'] = stateData['arrow-style']
+  if (stateData?.['display']?.['arrow-style']){
+    // settings['display']['arrow-style'] = stateData['arrow-style']
     $('#arrow_style').val(stateData['arrow-style'])
   } else {
-    settings['display']['arrow-style'] = '1' // default
+    // settings['display']['arrow-style'] = '1' // default
     $('#arrow_style').val(settings['display']['arrow-style'])
   }
 
-  if (stateData.hasOwnProperty('bookmarks')) {
-    settings['display']['bookmarks'] = stateData['bookmarks']
+  if (stateData?.['display']?.['bookmarks']) {
+    // settings['display']['bookmarks'] = stateData['bookmarks']
     settings['display']['bookmarks'].map(bookmark => {
       $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
     })
@@ -278,25 +280,25 @@ function processState(stateName, stateData) {
     respondToBookmarkSelect() // set listener for user bookmark selection
   }
 
-  if (stateData.hasOwnProperty('metadata')) {
-    settings['display']['metadata'] = stateData['display']['metadata']
-  } else {
-    settings['display']['metadata'] = []
-  }
-
-  if (stateData.hasOwnProperty('user-gene-labels')){
-    settings['display']['labels']['gene-labels'] = stateData['user-gene-labels']
-  }
-
-  if(stateData.hasOwnProperty('gene-set-labels')){
-    settings['display']['labels']['set-labels'] = stateData['gene-set-labels']
-  }
-  if (stateData.hasOwnProperty('gene-label-source')){
-    settings['display']['gene-label-source'] = stateData['gene-label-source']
-  }
-
-  if (stateData.hasOwnProperty('link-gene-label-color-source')){
-    settings['display']['link-gene-label-color-source'] = stateData['link-gene-label-color-source']
+  // if (stateData.hasOwnProperty('metadata')) {
+  //   settings['display']['metadata'] = stateData['display']['metadata']
+  // } else {
+  //   settings['display']['metadata'] = []
+  // }
+
+  // if (stateData.hasOwnProperty('user-gene-labels')){
+  //   settings['display']['labels']['gene-labels'] = stateData['user-gene-labels']
+  // }
+
+  // if(stateData.hasOwnProperty('gene-set-labels')){
+  //   settings['display']['labels']['set-labels'] = stateData['gene-set-labels']
+  // }
+  // if (stateData.hasOwnProperty('gene-label-source')){
+  //   settings['display']['gene-label-source'] = stateData['gene-label-source']
+  // }
+
+  if (stateData?.['display']?.['link-gene-label-color-source']){
+    // settings['display']['link-gene-label-color-source'] = stateData['link-gene-label-color-source']
     $('#link_gene_label_color_source').prop('checked', settings['display']['link-gene-label-color-source'])
   }
 

From b2dd014c4c79fef6338529aa069521ca53447736 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 17:35:36 +0000
Subject: [PATCH 0700/1020] clean

---
 anvio/data/interactive/js/genomeview/main.js | 25 --------------------
 1 file changed, 25 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 65d88fb608..99de71303a 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -257,20 +257,13 @@ function processState(stateName, stateData) {
     settings['display'] = stateData['display']
   }
 
-  // if (stateData.hasOwnProperty('genome-spacing')){
-  //   settings['display']['genome-spacing'] = stateData['genome-spacing']
-  // }
-
   if (stateData?.['display']?.['arrow-style']){
-    // settings['display']['arrow-style'] = stateData['arrow-style']
     $('#arrow_style').val(stateData['arrow-style'])
   } else {
-    // settings['display']['arrow-style'] = '1' // default
     $('#arrow_style').val(settings['display']['arrow-style'])
   }
 
   if (stateData?.['display']?.['bookmarks']) {
-    // settings['display']['bookmarks'] = stateData['bookmarks']
     settings['display']['bookmarks'].map(bookmark => {
       $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
     })
@@ -280,25 +273,7 @@ function processState(stateName, stateData) {
     respondToBookmarkSelect() // set listener for user bookmark selection
   }
 
-  // if (stateData.hasOwnProperty('metadata')) {
-  //   settings['display']['metadata'] = stateData['display']['metadata']
-  // } else {
-  //   settings['display']['metadata'] = []
-  // }
-
-  // if (stateData.hasOwnProperty('user-gene-labels')){
-  //   settings['display']['labels']['gene-labels'] = stateData['user-gene-labels']
-  // }
-
-  // if(stateData.hasOwnProperty('gene-set-labels')){
-  //   settings['display']['labels']['set-labels'] = stateData['gene-set-labels']
-  // }
-  // if (stateData.hasOwnProperty('gene-label-source')){
-  //   settings['display']['gene-label-source'] = stateData['gene-label-source']
-  // }
-
   if (stateData?.['display']?.['link-gene-label-color-source']){
-    // settings['display']['link-gene-label-color-source'] = stateData['link-gene-label-color-source']
     $('#link_gene_label_color_source').prop('checked', settings['display']['link-gene-label-color-source'])
   }
 

From 5d5863ef1f1f6d201be3b392c6e1aa304534541c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 17:39:21 +0000
Subject: [PATCH 0701/1020] case agnostic annotation querying

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index dbceca0f5e..4eff025836 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -737,7 +737,7 @@ GenomeDrawer.prototype.adjustScaleInterval = function () {
 
 GenomeDrawer.prototype.queryFunctions = function () {
   $('#query-results-table').empty()
-  let query = $('#function_search_query').val()
+  let query = $('#function_search_query').val().toLowerCase()
   let category = $('#function_search_category').val()
   let glowPayload = []
   let foundInGenomes = {}
@@ -753,7 +753,7 @@ GenomeDrawer.prototype.queryFunctions = function () {
   this.settings['genomeData']['genomes'].map(genome => {
     for (const [key, value] of Object.entries(genome[1]['genes']['functions'])) {
       console.log(key, value);
-      if (value[category]?.[0].includes(query) || value[category]?.[1].includes(query)) {
+      if (value[category]?.[0].toLowerCase().includes(query) || value[category]?.[1].toLowerCase().includes(query)) {
         let glowObject = {
           genomeID: genome[0],
           geneID: key

From 26ffeb9422bf4dfecb9e1b043e5d9c9a0689e192 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 17:39:43 +0000
Subject: [PATCH 0702/1020] clean

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 4eff025836..73f58456f5 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -752,7 +752,6 @@ GenomeDrawer.prototype.queryFunctions = function () {
   }
   this.settings['genomeData']['genomes'].map(genome => {
     for (const [key, value] of Object.entries(genome[1]['genes']['functions'])) {
-      console.log(key, value);
       if (value[category]?.[0].toLowerCase().includes(query) || value[category]?.[1].toLowerCase().includes(query)) {
         let glowObject = {
           genomeID: genome[0],

From 5fb9ed40f565f7c1f7fa018286adf87ba2040791 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 17:46:54 +0000
Subject: [PATCH 0703/1020] new obj for distinct query hits

---
 .../data/interactive/js/genomeview/drawer.js  | 27 ++++++++++++++++---
 1 file changed, 24 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 73f58456f5..04d91b24a6 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -739,8 +739,9 @@ GenomeDrawer.prototype.queryFunctions = function () {
   $('#query-results-table').empty()
   let query = $('#function_search_query').val().toLowerCase()
   let category = $('#function_search_category').val()
-  let glowPayload = []
-  let foundInGenomes = {}
+  let distinctQueryMatches = Object()
+  let glowPayload = Array()
+  let foundInGenomes = Object()
 
   if (!query || !category) {
     alert('please provide values for function category and/or query')
@@ -752,7 +753,21 @@ GenomeDrawer.prototype.queryFunctions = function () {
   }
   this.settings['genomeData']['genomes'].map(genome => {
     for (const [key, value] of Object.entries(genome[1]['genes']['functions'])) {
-      if (value[category]?.[0].toLowerCase().includes(query) || value[category]?.[1].toLowerCase().includes(query)) {
+      if (value[category]?.[0].toLowerCase().includes(query)) {
+        let glowObject = {
+          genomeID: genome[0],
+          geneID: key,
+          matchedQuery: value[category]?.[0].toLowerCase()
+        }
+        glowPayload.push(glowObject)
+        if (!(genome[0] in foundInGenomes)) {
+          foundInGenomes[genome[0]] = true
+        }
+        if(!(value[category]?.[0].toLowerCase() in distinctQueryMatches)){
+          distinctQueryMatches[value[category]?.[0].toLowerCase()] = true
+        }
+      }  // check for accession and annotation values separately, as we want to capture the match for sorting results
+      else if (value[category]?.[1].toLowerCase().includes(query)) {
         let glowObject = {
           genomeID: genome[0],
           geneID: key
@@ -761,9 +776,15 @@ GenomeDrawer.prototype.queryFunctions = function () {
         if (!(genome[0] in foundInGenomes)) {
           foundInGenomes[genome[0]] = true
         }
+        if(!(value[category]?.[1].toLowerCase() in distinctQueryMatches)){
+          distinctQueryMatches[value[category]?.[1].toLowerCase()] = true
+        }
       }
     }
   })
+
+  console.log(glowPayload)
+  console.log(distinctQueryMatches)
   if (glowPayload.length < 1) {
     alert(`No hits were found matching ${query} in ${category}`)
     return

From 1c3143c7db3ef8a8627d5ed47b7648b9b0112a4c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 17:49:01 +0000
Subject: [PATCH 0704/1020] don't lowercase stored match val

---
 anvio/data/interactive/js/genomeview/drawer.js | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 04d91b24a6..7e77dd7621 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -757,7 +757,7 @@ GenomeDrawer.prototype.queryFunctions = function () {
         let glowObject = {
           genomeID: genome[0],
           geneID: key,
-          matchedQuery: value[category]?.[0].toLowerCase()
+          matchedQuery: value[category]?.[0]
         }
         glowPayload.push(glowObject)
         if (!(genome[0] in foundInGenomes)) {
@@ -770,7 +770,8 @@ GenomeDrawer.prototype.queryFunctions = function () {
       else if (value[category]?.[1].toLowerCase().includes(query)) {
         let glowObject = {
           genomeID: genome[0],
-          geneID: key
+          geneID: key,
+          matchedQuery: value[category]?.[1]
         }
         glowPayload.push(glowObject)
         if (!(genome[0] in foundInGenomes)) {

From 2a0cb87b9c0e9258aabda5dc648059ce168689fc Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 17:50:59 +0000
Subject: [PATCH 0705/1020] don't lowercase these either

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 7e77dd7621..3803f74a4e 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -764,7 +764,7 @@ GenomeDrawer.prototype.queryFunctions = function () {
           foundInGenomes[genome[0]] = true
         }
         if(!(value[category]?.[0].toLowerCase() in distinctQueryMatches)){
-          distinctQueryMatches[value[category]?.[0].toLowerCase()] = true
+          distinctQueryMatches[value[category]?.[0]] = true
         }
       }  // check for accession and annotation values separately, as we want to capture the match for sorting results
       else if (value[category]?.[1].toLowerCase().includes(query)) {
@@ -778,7 +778,7 @@ GenomeDrawer.prototype.queryFunctions = function () {
           foundInGenomes[genome[0]] = true
         }
         if(!(value[category]?.[1].toLowerCase() in distinctQueryMatches)){
-          distinctQueryMatches[value[category]?.[1].toLowerCase()] = true
+          distinctQueryMatches[value[category]?.[1]] = true
         }
       }
     }

From 060aea7517f990b233fcca28c94b443e8af44898 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 18:05:55 +0000
Subject: [PATCH 0706/1020] span for select dropdown to live

---
 anvio/data/interactive/genomeview.html | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index fb032a6852..1667b94744 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -503,6 +503,7 @@ <h4 class="modal-title">Viewport Genomic Data</h4>
             </tr>
           </tbody>
         </table>
+        <span id="query-results-span"></span>
         <table class="table table-striped" style="width: 100%; text-align: center;">
           <thead>
             <th>Gene ID</th>

From 2565854e141da80902a103fd75da343971a0e2fe Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 18:06:05 +0000
Subject: [PATCH 0707/1020] generate select dropdown

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 3803f74a4e..a7e2736e08 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -790,6 +790,7 @@ GenomeDrawer.prototype.queryFunctions = function () {
     alert(`No hits were found matching ${query} in ${category}`)
     return
   }
+  $('#query-results-span').append(`<select class="form-control" id="query-results-select"></select>`)
   let lowestStart, highestEnd = null
   if(genomeMax > 35000){
     glowPayload.map(gene => {

From d1601c486da90a9d4d64f23950e53d45e6985ab3 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 18:09:31 +0000
Subject: [PATCH 0708/1020] dynamically populate match select

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index a7e2736e08..32a9d72599 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -791,6 +791,10 @@ GenomeDrawer.prototype.queryFunctions = function () {
     return
   }
   $('#query-results-span').append(`<select class="form-control" id="query-results-select"></select>`)
+  $('#query-results-select').append(new Option('Show All', 'all'))
+  Object.keys(distinctQueryMatches).map(k => {
+    $('#query-results-select').append(new Option(k, k))
+  })
   let lowestStart, highestEnd = null
   if(genomeMax > 35000){
     glowPayload.map(gene => {

From c661e9d3a2fde71b26b8319ea585b52c4d6fbdc5 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 18:13:04 +0000
Subject: [PATCH 0709/1020] capture select onchange event/value

---
 anvio/data/interactive/js/genomeview/drawer.js | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 32a9d72599..3faace1da4 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -795,6 +795,9 @@ GenomeDrawer.prototype.queryFunctions = function () {
   Object.keys(distinctQueryMatches).map(k => {
     $('#query-results-select').append(new Option(k, k))
   })
+  $('#query-results-select').on('change', function(){
+    console.log(this.value)
+  })
   let lowestStart, highestEnd = null
   if(genomeMax > 35000){
     glowPayload.map(gene => {

From 0f8c40964d09bf7b9b4106692833a67f5c34eb13 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 18:13:36 +0000
Subject: [PATCH 0710/1020] empty select span before each query

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 3faace1da4..2fffaa21a0 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -737,6 +737,7 @@ GenomeDrawer.prototype.adjustScaleInterval = function () {
 
 GenomeDrawer.prototype.queryFunctions = function () {
   $('#query-results-table').empty()
+  $('#query-results-span').empty()
   let query = $('#function_search_query').val().toLowerCase()
   let category = $('#function_search_category').val()
   let distinctQueryMatches = Object()

From 93ade3cffd7efe8ba35f7d27ec2e02ae4512e5de Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 18:14:08 +0000
Subject: [PATCH 0711/1020] clarify

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 2fffaa21a0..07285c77d0 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -767,7 +767,7 @@ GenomeDrawer.prototype.queryFunctions = function () {
         if(!(value[category]?.[0].toLowerCase() in distinctQueryMatches)){
           distinctQueryMatches[value[category]?.[0]] = true
         }
-      }  // check for accession and annotation values separately, as we want to capture the match for sorting results
+      }  // check for accession and annotation values separately, as we want to capture the exact match for sorting results
       else if (value[category]?.[1].toLowerCase().includes(query)) {
         let glowObject = {
           genomeID: genome[0],

From 559afd92bde90314e197ab04c316cc8124005e84 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 18:24:15 +0000
Subject: [PATCH 0712/1020] encapsulate renderAllGenes, build out filtered
 render

---
 .../data/interactive/js/genomeview/drawer.js  | 64 +++++++++++++------
 1 file changed, 43 insertions(+), 21 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 07285c77d0..1b9b6b664d 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -797,30 +797,52 @@ GenomeDrawer.prototype.queryFunctions = function () {
     $('#query-results-select').append(new Option(k, k))
   })
   $('#query-results-select').on('change', function(){
-    console.log(this.value)
+    $('#query-results-table').empty()
+    let matchedQuery = this.value
+    if(matchedQuery == 'all'){
+      renderAllGenes()
+    } else {
+      glowPayload.filter(gene => gene['matchedQuery'] == matchedQuery).map(gene => {
+        let genomeOfInterest = settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
+        let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
+        let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
+        $('#query-results-table').append(`
+          <tr>
+            <td>${gene['geneID']}</td>
+            <td>${gene['genomeID']}</td>
+            <td>${start}</td>
+            <td>${end}</td>
+            <td><button onclick="zoomOut('partial', ${start}, ${end})">go to</button</td>
+          </tr>
+        `)
+      })
+    }
   })
   let lowestStart, highestEnd = null
-  if(genomeMax > 35000){
-    glowPayload.map(gene => {
-      let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
-      let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
-      let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
-      if (start < lowestStart || lowestStart == null) lowestStart = start
-      if (end > highestEnd || highestEnd == null) highestEnd = end
-      $('#query-results-table').append(`
-        <tr>
-          <td>${gene['geneID']}</td>
-          <td>${gene['genomeID']}</td>
-          <td>${start}</td>
-          <td>${end}</td>
-          <td><button onclick="zoomOut('partial', ${start}, ${end})">go to</button</td>
-        </tr>
-      `)
-    })
-  } else {
-    lowestStart = 0
-    highestEnd = genomeMax
+  function renderAllGenes(){
+    if(genomeMax > 35000){
+      glowPayload.map(gene => {
+        let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
+        let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
+        let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
+        if (start < lowestStart || lowestStart == null) lowestStart = start
+        if (end > highestEnd || highestEnd == null) highestEnd = end
+        $('#query-results-table').append(`
+          <tr>
+            <td>${gene['geneID']}</td>
+            <td>${gene['genomeID']}</td>
+            <td>${start}</td>
+            <td>${end}</td>
+            <td><button onclick="zoomOut('partial', ${start}, ${end})">go to</button</td>
+          </tr>
+        `)
+      })
+    } else {
+      lowestStart = 0
+      highestEnd = genomeMax
+    }
   }
+  renderAllGenes()
 
   $('#function-query-results-statement').text(`Retreived ${glowPayload.length} hit(s) from ${Object.keys(foundInGenomes).length} genomes`)
   zoomOut('partial', lowestStart, highestEnd)

From 59e3ccbac534ebeed5642f436d66c44db732461b Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 18:29:17 +0000
Subject: [PATCH 0713/1020] tame unruly select name values

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 1b9b6b664d..ac1d869317 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -794,7 +794,7 @@ GenomeDrawer.prototype.queryFunctions = function () {
   $('#query-results-span').append(`<select class="form-control" id="query-results-select"></select>`)
   $('#query-results-select').append(new Option('Show All', 'all'))
   Object.keys(distinctQueryMatches).map(k => {
-    $('#query-results-select').append(new Option(k, k))
+    $('#query-results-select').append(new Option(k.length > 80? k.slice(0,80) + '...' : k, k))
   })
   $('#query-results-select').on('change', function(){
     $('#query-results-table').empty()

From ae1cc762e365ee5abc5e1e859985a63635510516 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 18:31:19 +0000
Subject: [PATCH 0714/1020] don't need safety checks if we've gotten here

---
 anvio/data/interactive/js/genomeview/drawer.js | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index ac1d869317..279bf3bd58 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -758,13 +758,13 @@ GenomeDrawer.prototype.queryFunctions = function () {
         let glowObject = {
           genomeID: genome[0],
           geneID: key,
-          matchedQuery: value[category]?.[0]
+          matchedQuery: value[category][0]
         }
         glowPayload.push(glowObject)
         if (!(genome[0] in foundInGenomes)) {
           foundInGenomes[genome[0]] = true
         }
-        if(!(value[category]?.[0].toLowerCase() in distinctQueryMatches)){
+        if(!(value[category][0].toLowerCase() in distinctQueryMatches)){
           distinctQueryMatches[value[category]?.[0]] = true
         }
       }  // check for accession and annotation values separately, as we want to capture the exact match for sorting results
@@ -772,21 +772,19 @@ GenomeDrawer.prototype.queryFunctions = function () {
         let glowObject = {
           genomeID: genome[0],
           geneID: key,
-          matchedQuery: value[category]?.[1]
+          matchedQuery: value[category][1]
         }
         glowPayload.push(glowObject)
         if (!(genome[0] in foundInGenomes)) {
           foundInGenomes[genome[0]] = true
         }
-        if(!(value[category]?.[1].toLowerCase() in distinctQueryMatches)){
+        if(!(value[category][1].toLowerCase() in distinctQueryMatches)){
           distinctQueryMatches[value[category]?.[1]] = true
         }
       }
     }
   })
 
-  console.log(glowPayload)
-  console.log(distinctQueryMatches)
   if (glowPayload.length < 1) {
     alert(`No hits were found matching ${query} in ${category}`)
     return

From b28bf3d05d4c170aa56f2aa6a457c1a43ec25e26 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 27 May 2022 19:07:46 +0000
Subject: [PATCH 0715/1020] clean

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 279bf3bd58..ba1f2d8184 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -765,7 +765,7 @@ GenomeDrawer.prototype.queryFunctions = function () {
           foundInGenomes[genome[0]] = true
         }
         if(!(value[category][0].toLowerCase() in distinctQueryMatches)){
-          distinctQueryMatches[value[category]?.[0]] = true
+          distinctQueryMatches[value[category][0]] = true
         }
       }  // check for accession and annotation values separately, as we want to capture the exact match for sorting results
       else if (value[category]?.[1].toLowerCase().includes(query)) {
@@ -779,7 +779,7 @@ GenomeDrawer.prototype.queryFunctions = function () {
           foundInGenomes[genome[0]] = true
         }
         if(!(value[category][1].toLowerCase() in distinctQueryMatches)){
-          distinctQueryMatches[value[category]?.[1]] = true
+          distinctQueryMatches[value[category][1]] = true
         }
       }
     }

From 6ca9bd72218af264462834aac61e25113d316944 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 15 Jun 2022 17:23:52 +0000
Subject: [PATCH 0716/1020] provide 10k buffer or max allowable on zoom out

---
 anvio/data/interactive/js/genomeview/navigation.js | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 397de37aa7..c4c5ad55b9 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -48,8 +48,8 @@
       newStart = 0
       newEnd = genomeMax
     } else if(type && type == 'partial'){
-      newStart = start
-      newEnd = end
+      newStart = start - 10000
+      newEnd = end + 10000
     }else {
       let start = parseInt($('#brush_start').val()), end = parseInt($('#brush_end').val());
       newStart = start - genomeMax/50;
@@ -60,9 +60,9 @@
       drawer.draw()
         return;
       }
-      if(newStart < 0) newStart = 0;
-      if(newEnd > genomeMax) newEnd = genomeMax;
     }
+    if(newStart < 0) newStart = 0;
+    if(newEnd > genomeMax) newEnd = genomeMax;
 
     brush.extent([newStart, newEnd]);
     brush(d3.select(".brush").transition());

From e0a94d4bdbeafc1c3b1065d8074143560e7a80bc Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 15 Jun 2022 18:16:33 +0000
Subject: [PATCH 0717/1020] refactor lasso menu html

---
 anvio/data/interactive/genomeview.html | 19 ++++++++++++++++++-
 1 file changed, 18 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 1667b94744..c95c1b0524 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -104,7 +104,7 @@ <h4 class="modal-title">Deepdive Tooltip</h4>
           </div>
         </div>
       </div>
-    <div id='lasso-menu-body' display='none'></div>
+    </div>
 
     <div id='tabular-modal-body' class="modal">
       <div class="modal-dialog modal-lg">
@@ -140,6 +140,23 @@ <h4 class="modal-title">Viewport Genomic Data</h4>
       </div>
     </div>
 
+    <div class="modal" id='lasso-modal-body'>
+      <div class="modal-dialog modal-sm">
+        <div class="modal-content">
+          <div class="modal-header">
+            <button type="button" class="close" data-dismiss="modal">&times;</button>
+            <h4 class="modal-title">Lasso</h4>
+          </div>
+          <div class="modal-body" id="lasso-modal-content">
+
+          </div>
+          <div class="modal-footer">
+            <button type="button" class="btn btn-default" data-dismiss="modal">Close</button>
+          </div>
+        </div>
+      </div>
+    </div>
+
     <div id="toggle-panel-settings" onclick="toggleRightPanel('#settings-panel')">
       <span id="toggle-panel-settings-inner">&#9664;</span><span
         style="display: block; font-size: 11px; transform: rotate(90deg);"><u>S</u>ETTINGS</span>

From 698984a606277346b43c43fc4b7af42a6f18055a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 15 Jun 2022 18:16:42 +0000
Subject: [PATCH 0718/1020] refactor lasso menu to modal

---
 anvio/data/interactive/js/genomeview/ui.js | 39 ++++++++++------------
 1 file changed, 18 insertions(+), 21 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index b386bf6bab..a2699bf2fa 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -298,7 +298,7 @@ function setEventListeners(){
     if(event.target && event.target.id === 'arrow'){
       showDeepDiveToolTip(event)
     }
-    $('#lasso-menu-body').empty().hide();
+    $('#lasso-modal-body').modal('hide')
   })
 }
 function showDeepDiveToolTip(event){
@@ -709,7 +709,7 @@ function transitionTabularModalToDeepdive(event){
 function showLassoMenu(selected_genes, x, y) {
   //x = 600;
   //y = 200;
-
+  console.log('hi')
   let start, stop, length;
   let showSetLabel = false;
   if(selected_genes.every(obj => obj.genomeID == selected_genes[0].genomeID)) {
@@ -720,26 +720,23 @@ function showLassoMenu(selected_genes, x, y) {
   } else {
     start = stop = length = "N/A";
   }
-
-  $('#lasso-menu-body').empty().show().append(
-    `<span class="popover-close-button" onclick="$(this).closest(\'.popover\').popover(\'hide\');"></span>
+  $('#lasso-modal-body').modal('show')
+  $('#lasso-modal-content').empty().append(
+    `
     <table class="table table-striped" style="width: 100%; text-align: center; font-size: 12px; background: white"> \
-        <tr><td>Start</td><td>${start}</td></tr> \
-        <tr><td>Stop</td><td>${stop}</td></tr> \
-        <tr><td>Length</td><td>${length}</td></tr> \
-        <tr><td>Gene count</td><td>${selected_genes.length}</td></tr> \
-        <tr><td>Corresponding gene call</td><td>FILLER</td></tr> \
-        <tr><td>Coverage</td><td>FILLER</td></tr> \
-      </table>';
-
-      <div id="picker_lasso" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div>
-      <br><br>
-      <input id="create_gene_set_label" class="form-control input-sm" type="text" placeholder="New gene set label" style="margin-bottom: 15px; display:${showSetLabel?"block":"none"}" size="4">
-
-      <button type="button" class="btn btn-default btn-sm" onClick="$('#lasso-menu-body').empty().hide()">Close</>
-      <button type="button" id="lasso-done" class="btn btn-default btn-sm" style="float:right" onClick="applyLasso()">Apply</button>
-      `
-    ).css({'position' : 'absolute', 'left' : x, 'top' : y});
+      <tr><td>Start</td><td>${start}</td></tr> \
+      <tr><td>Stop</td><td>${stop}</td></tr> \
+      <tr><td>Length</td><td>${length}</td></tr> \
+      <tr><td>Gene count</td><td>${selected_genes.length}</td></tr> \
+    </table>';
+
+    <div id="picker_lasso" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div>
+    <br><br>
+    <input id="create_gene_set_label" class="form-control input-sm" type="text" placeholder="New gene set label" style="margin-bottom: 15px; display:${showSetLabel ? "block" : "none"}" size="4">
+
+    <button type="button" id="lasso-done" class="btn btn-default btn-sm" style="float:right" onClick="applyLasso()">Apply</button>
+    `
+  )
 
     $('#picker_lasso').colpick({
       layout: 'hex',

From 151c8d142afe995bfe0a0d6b5e0a59cd62947bd9 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 20 Jun 2022 02:10:38 +0000
Subject: [PATCH 0719/1020] new annotation source div for checkboxes

---
 anvio/data/interactive/genomeview.html | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index c95c1b0524..7b08acd5d3 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -129,6 +129,7 @@ <h4 class="modal-title">Viewport Genomic Data</h4>
                   <div id="multiselect-picker-tabular-modal" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div>
                   <button class="btn btn-default">Color selected</button>
                 </div>
+                <div id="tabular-modal-annotation-checkboxes"></div>
               </div>
               <div id="modal-tab-content" class="tab-content" role="dialog"></div>
             </div>

From 94b3246c921fa49206665cfeb279f0ebe04e2a65 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 20 Jun 2022 02:10:57 +0000
Subject: [PATCH 0720/1020] setup annotation checkbox select functionality

---
 anvio/data/interactive/js/genomeview/ui.js | 43 ++++++++++++++++------
 1 file changed, 31 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index a2699bf2fa..534c699e30 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -585,9 +585,28 @@ function showTabularModal(){
     }
   })
 
+  handleAnnotationSourceSelect = (target) => {
+    if($(target).is(":checked")){
+      $('#tabular-modal-table-header-tr').append(`<th id='th-source-${target.value}'>${target.value}</th>`)
+      Object.entries(genomesObj).map(genome => {
+        genome[1].forEach(gene => {
+          $(`#table-row-${gene['geneID']}`).append(`<td>cheese</td>`)
+        })
+      })
+    } else {
+      $(`#th-source-${target.value}`).remove()
+    }
+  }
+
   let sourcesString = String()
   functionSourcesArr.map(s => {
     sourcesString += `<th>${s}<th>`
+    $('#tabular-modal-annotation-checkboxes').append(
+      `
+      <input type='checkbox' name=${s} value=${s} onclick='handleAnnotationSourceSelect(this)'/>
+      <label for=${s}>${s}</label><br>
+      `
+    )
   })
 
   Object.keys(genomesObj).map((genome, idx) => {
@@ -598,16 +617,17 @@ function showTabularModal(){
       <div id="${genome}" class="tab-pane fade in ${idx == 0 ? 'active' : ''}">
         <h3>${genome}</h3>
         <table id="${genome}-table"class="table table-striped" style="width: 100%; text-align: left; font-size: 12px; background: white">
-          <thead>
-            <th><input class="form-check-input" type='checkbox'></input> Select</th>
-            <th>Gene ID</th>
-            <th>Start</th>
-            <th>Stop</th>
-            <th>Direction</th>
-            <th>Contig</th>
-            ${sourcesString}
-            <th>Deepdive</th>
-            <th>Color</th>
+          <thead id='tabular-modal-table-head'>
+            <tr id='tabular-modal-table-header-tr'>
+              <th><input class="form-check-input" type='checkbox'></input> Select</th>
+              <th>Gene ID</th>
+              <th>Start</th>
+              <th>Stop</th>
+              <th>Direction</th>
+              <th>Contig</th>
+              <th>Deepdive</th>
+              <th>Color</th>
+            </tr>
           </thead>
           <tbody id="${genome}-table-body">
           </tbody>
@@ -631,14 +651,13 @@ function showTabularModal(){
       }
 
       totalTableString += `
-      <tr>
+      <tr id='table-row-${gene['geneID']}'>
         <td><input class="form-check-input" id="${genome[0]}-${gene['geneID']}" value="${genome[0]}-${gene['geneID']}" type='checkbox'></input></td>
         <td>${gene['geneID']}</td>
         <td>${gene['gene']['start']}</td>
         <td>${gene['gene']['stop']}</td>
         <td>${gene['gene']['direction']}</td>
         <td>${gene['gene']['contig']}</td>
-        ${totalAnnotationsString}
         <td><button class="btn btn-default btn-sm" id="${genome[0]}-${gene['geneID']}" onclick=transitionTabularModalToDeepdive(event)>Deep Dive</button></td>
         <td><div id="picker-tabular-modal" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div></td>
       </tr>`

From a0ee0e929b70c56ba87d04687b59f0ad50a4b383 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 20 Jun 2022 02:50:01 +0000
Subject: [PATCH 0721/1020] make it all work

---
 anvio/data/interactive/js/genomeview/ui.js | 19 ++++++++++++++-----
 1 file changed, 14 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 534c699e30..6b538c21c5 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -587,14 +587,23 @@ function showTabularModal(){
 
   handleAnnotationSourceSelect = (target) => {
     if($(target).is(":checked")){
-      $('#tabular-modal-table-header-tr').append(`<th id='th-source-${target.value}'>${target.value}</th>`)
       Object.entries(genomesObj).map(genome => {
+        $(`#${genome[0]}-tabular-modal-table-header-tr`).append(`<th id='th-source-${genome[0]}-${target.value}'>${target.value}</th>`)
         genome[1].forEach(gene => {
-          $(`#table-row-${gene['geneID']}`).append(`<td>cheese</td>`)
+          if(gene?.['functions']?.[target.value]){
+            $(`#${genome[0]}-table-row-${gene['geneID']}`).append(`<td id='${genome[0]}-${gene['geneID']}-${target.value}'>${gene['functions'][target.value][1]}</td>`)
+          } else {
+            $(`#${genome[0]}-table-row-${gene['geneID']}`).append(`<td id='${genome[0]}-${gene['geneID']}-${target.value}'>n/a</td>`)
+          }
         })
       })
     } else {
-      $(`#th-source-${target.value}`).remove()
+      Object.entries(genomesObj).map(genome => {
+        $(`#th-source-${genome[0]}-${target.value}`).remove()
+        genome[1].forEach(gene => {
+          $(`#${genome[0]}-${gene['geneID']}-${target.value}`).remove()
+        })
+      })
     }
   }
 
@@ -618,7 +627,7 @@ function showTabularModal(){
         <h3>${genome}</h3>
         <table id="${genome}-table"class="table table-striped" style="width: 100%; text-align: left; font-size: 12px; background: white">
           <thead id='tabular-modal-table-head'>
-            <tr id='tabular-modal-table-header-tr'>
+            <tr id='${genome}-tabular-modal-table-header-tr'>
               <th><input class="form-check-input" type='checkbox'></input> Select</th>
               <th>Gene ID</th>
               <th>Start</th>
@@ -651,7 +660,7 @@ function showTabularModal(){
       }
 
       totalTableString += `
-      <tr id='table-row-${gene['geneID']}'>
+      <tr id='${genome[0]}-table-row-${gene['geneID']}'>
         <td><input class="form-check-input" id="${genome[0]}-${gene['geneID']}" value="${genome[0]}-${gene['geneID']}" type='checkbox'></input></td>
         <td>${gene['geneID']}</td>
         <td>${gene['gene']['start']}</td>

From 3914d21392119ea780d5f0a13500ee6814290f2a Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 21 Jun 2022 15:08:08 +0000
Subject: [PATCH 0722/1020] empty checkbox divs between renders

---
 anvio/data/interactive/js/genomeview/ui.js | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 6b538c21c5..4381023a3c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -607,9 +607,8 @@ function showTabularModal(){
     }
   }
 
-  let sourcesString = String()
+  $('#tabular-modal-annotation-checkboxes').empty()
   functionSourcesArr.map(s => {
-    sourcesString += `<th>${s}<th>`
     $('#tabular-modal-annotation-checkboxes').append(
       `
       <input type='checkbox' name=${s} value=${s} onclick='handleAnnotationSourceSelect(this)'/>

From 9559e68877412a0d4fb166ab0b8b3e41cc183d61 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 1 Jul 2022 17:45:18 +0000
Subject: [PATCH 0723/1020] show/hide genes, all in one big ol commit

---
 anvio/data/interactive/genomeview.html        |  3 ++
 .../data/interactive/js/genomeview/drawer.js  |  2 +
 anvio/data/interactive/js/genomeview/main.js  |  1 +
 anvio/data/interactive/js/genomeview/ui.js    | 39 +++++++++++++++++++
 4 files changed, 45 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 7b08acd5d3..12199cff8f 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -471,6 +471,9 @@ <h4 class="modal-title">Lasso</h4>
                 <td><input type="text" class="form-control input-sm" id="gene_text_angle" value="0"
                     style="margin-bottom: 10px"></td>
               </tr>
+              <tr>
+                <td><button onclick="showAllHiddenGenes()">Show all hidden genes</button></td>
+              </tr>
             </tbody>
           </table>
           <span style="margin-bottom:600px"></span>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index ba1f2d8184..b0212d386d 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -178,6 +178,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
         scaleY: 0.5,
         editable: true,
         hasControls: false,
+        opacity: settings['display']['hidden']?.[genomeID]?.[geneID] ? .2 : 1.0,
         lockMovementX: true,
         lockMovementY: true,
         lockScaling: true,
@@ -506,6 +507,7 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
     hasControls: false,
     hasBorders: false,
     lockScaling: true,
+    opacity: settings['display']['hidden']?.[genomeID]?.[geneID] ? .2 : 1.0,
     gene: gene,
     functions: functions,
     geneID: geneID,
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 99de71303a..4cadaa71ca 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -120,6 +120,7 @@ function loadAdditionalDataLayers(){
       settings['additional-data-layers']['layers'].push('ruler') // add ruler by default
       settings['group-layer-order'] = ['Genome', 'Ruler']
       settings['display'] = {}
+      settings['display']['hidden'] = {}
       settings['display']['colors'] = {}
       settings['display']['colors']['genes'] = {}
       settings['display']['layers'] = {}
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 4381023a3c..b4de2b0a28 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -378,8 +378,17 @@ function showDeepDiveToolTip(event){
   <button type="button" id="gene-blastn-at-refseq-button" class="btn btn-default btn-sm">blastn @ refseq_genomic</button>
   <button type="button" id="gene-blastx-at-nr-button"class="btn btn-default btn-sm" >blastx @ nr</button>
   <button type="button" id="gene-blastx-at-refseq-button" class="btn btn-default btn-sm">blastx @ refseq_genomic</button>
+  <br>
 
+  <h2>Visible Geen Range</h2>
+  <label for='hide-range-low'>Downstream Visible Gene Range</label>
+  <input type='number' id='hide-range-low'  min='1' />
+  <label for='hide-range-high'>Upstream Visible Gene Range</label>
+  <input type='number' id='hide-range-high' min='1'/>
+  <br>
+  <button id='gene-visibility-range-set' class="btn btn-default btn-sm" >Set Visible Range</button>
   <br>
+
   <h2>color</h2>
   <div id="picker_tooltip" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div>
   <p>set gene arrow color</p>
@@ -417,6 +426,10 @@ function showDeepDiveToolTip(event){
     drawer.queryMetadata(metadataLabel)
   })
 
+  $('#gene-visibility-range-set').click(function(){
+    setGeneVisibilityRange(event.target.geneID, event.target.genomeID)
+  })
+
   $('#gene-dna-sequence-button').on('click', function(){
     show_sequence_modal('DNA Sequence', settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence'])
   })
@@ -1202,4 +1215,30 @@ function buildGeneLabelsSelect(){
   // while we're here, we add 'metadata' to the function_search_category dropdown select
   // TODO refactor naming convention to sequence_search_category, bc we're not just querying functions!
   $('#function_search_category').append(new Option('metadata', 'metadata'))
+}
+
+function setGeneVisibilityRange(targetGene, targetGenome){
+  let genomeOfInterest = settings['genomeData']['genomes'].filter(genome => genome[0] == targetGenome)
+  let maxGeneID = Object.keys(genomeOfInterest[0][1]['genes']['dna']).length
+  settings['display']['hidden'][targetGenome] = {}
+  let startingPoint = parseInt(targetGene)
+  let lowRangeStart = startingPoint - parseInt($('#hide-range-low').val())
+  let highRangeStart = startingPoint + parseInt($('#hide-range-high').val())
+
+  lowRangeStart < 0 ? lowRangeStart = 0 : null
+  highRangeStart > parseInt(maxGeneID) ? highRangeStart = maxGeneID : null
+
+  for(let i = lowRangeStart; i >= 0; i--){
+    settings['display']['hidden'][targetGenome][i] = true
+  }
+  for(let i = highRangeStart; i <= parseInt(maxGeneID); i++){
+    settings['display']['hidden'][targetGenome][i] = true
+  }
+  $('#deepdive-modal-body').modal('toggle');
+  drawer.draw()
+}
+
+function showAllHiddenGenes(){
+  settings['display']['hidden'] = {}
+  drawer.draw()
 }
\ No newline at end of file

From dedfef6a0015c7877a82d17a20bbc0acf094eb6f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 1 Jul 2022 20:02:18 +0000
Subject: [PATCH 0724/1020] whole number step

---
 anvio/data/interactive/js/genomeview/ui.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index b4de2b0a28..e7028cf3ea 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -382,9 +382,9 @@ function showDeepDiveToolTip(event){
 
   <h2>Visible Geen Range</h2>
   <label for='hide-range-low'>Downstream Visible Gene Range</label>
-  <input type='number' id='hide-range-low'  min='1' />
+  <input type='number' id='hide-range-low'  min='1' step='1'/>
   <label for='hide-range-high'>Upstream Visible Gene Range</label>
-  <input type='number' id='hide-range-high' min='1'/>
+  <input type='number' id='hide-range-high' min='1' step='1'/>
   <br>
   <button id='gene-visibility-range-set' class="btn btn-default btn-sm" >Set Visible Range</button>
   <br>

From d74581c1c0ceae1afa3b7437fbcd10b5f1ca5880 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 13 Jul 2022 17:25:55 +0000
Subject: [PATCH 0725/1020] export tabular modal to csv

---
 anvio/data/interactive/genomeview.html     |  1 +
 anvio/data/interactive/js/genomeview/ui.js | 61 ++++++++++++++++++++++
 2 files changed, 62 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 12199cff8f..1e89ed8c20 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -120,6 +120,7 @@ <h4 class="modal-title">Viewport Genomic Data</h4>
                 <div class="modal-multiselect-col">
                   <button class="btn btn-default p-3" onclick="gatherTabularModalSelectedItems('glow')">Glow selected in sequence</button>
                   <button class="btn btn-default p-3">Export selected as contig.db</button>
+                  <button class="btn btn-default p-3" id="export-tabular-modal-csv" onclick="exportTabularModalToCSV()">Export table as CSV</button>
                 </div>
                 <div>
                   <input type='text' placeholder='metadata tag'/>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index e7028cf3ea..a8d012360b 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -746,6 +746,67 @@ function transitionTabularModalToDeepdive(event){
   showDeepDiveToolTip(generatedEventObj)
 }
 
+function exportTabularModalToCSV(){
+
+  // function to strip out UI columns before processing
+  let titles = new Array;
+  let data = new Array;
+  let active = $("div#modal-tab-content div.active")[0].id
+
+  $(`#${active} th`).each(function() {
+    titles.push($(this).text());
+  });
+
+  $(`#${active} td`).each(function() {
+    data.push($(this).text());
+  });
+
+  let CSVString = prepCSVRow(titles, titles.length, '');
+  CSVString = prepCSVRow(data, titles.length, CSVString);
+  let downloadLink = document.createElement("a");
+  let blob = new Blob(["\ufeff", CSVString]);
+  let url = URL.createObjectURL(blob);
+  downloadLink.href = url;
+  downloadLink.download = `${active}-tabular-modal-table.csv`;
+  downloadLink.click()
+  console.log(CSVString)
+}
+
+function prepCSVRow(arr, columnCount, initial) { // https://stackoverflow.com/questions/40428850/how-to-export-data-from-table-to-csv-file-using-jquery
+  var row = ''; // this will hold data
+  var delimeter = ','; // data slice separator, in excel it's `;`, in usual CSv it's `,`
+  var newLine = '\r\n'; // newline separator for CSV row
+
+  /*
+   * Convert [1,2,3,4] into [[1,2], [3,4]] while count is 2
+   * @param _arr {Array} - the actual array to split
+   * @param _count {Number} - the amount to split
+   * return {Array} - splitted array
+   */
+  function splitArray(_arr, _count) {
+    var splitted = [];
+    var result = [];
+    _arr.forEach(function(item, idx) {
+      if ((idx + 1) % _count === 0) {
+        splitted.push(item);
+        result.push(splitted);
+        splitted = [];
+      } else {
+        splitted.push(item);
+      }
+    });
+    return result;
+  }
+  var plainArr = splitArray(arr, columnCount);
+  plainArr.forEach(function(arrItem) {
+    arrItem.forEach(function(item, idx) {
+      row += item + ((idx + 1) === arrItem.length ? '' : delimeter);
+    });
+    row += newLine;
+  });
+  return initial + row;
+}
+
 function showLassoMenu(selected_genes, x, y) {
   //x = 600;
   //y = 200;

From cc227272e608e34b612cc3f2f75a19794cc8f264 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 13 Jul 2022 17:28:17 +0000
Subject: [PATCH 0726/1020] clean

---
 anvio/data/interactive/js/genomeview/ui.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index a8d012360b..144b011e90 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -769,7 +769,6 @@ function exportTabularModalToCSV(){
   downloadLink.href = url;
   downloadLink.download = `${active}-tabular-modal-table.csv`;
   downloadLink.click()
-  console.log(CSVString)
 }
 
 function prepCSVRow(arr, columnCount, initial) { // https://stackoverflow.com/questions/40428850/how-to-export-data-from-table-to-csv-file-using-jquery

From 8adda9b3e74497abfce76a9805d7d82089c4e1a9 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 13 Jul 2022 17:28:50 +0000
Subject: [PATCH 0727/1020] two due

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 144b011e90..f65ee57698 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -748,7 +748,7 @@ function transitionTabularModalToDeepdive(event){
 
 function exportTabularModalToCSV(){
 
-  // function to strip out UI columns before processing
+  // TODO function to strip out UI columns before processing
   let titles = new Array;
   let data = new Array;
   let active = $("div#modal-tab-content div.active")[0].id

From b078f357ab3a00d5415ebed372ec593acff69d9d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Wed, 13 Jul 2022 17:46:04 +0000
Subject: [PATCH 0728/1020] hidden status for genes in tabular modal

---
 anvio/data/interactive/js/genomeview/ui.js | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index f65ee57698..36b1a5389a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -582,6 +582,7 @@ function showTabularModal(){
   var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow')
   var genomesObj = Object()
   var functionSourcesArr = Array()
+  console.log(settings)
 
   arrows.map(arrow => {
     if(!genomesObj[arrow['genomeID']]){
@@ -648,6 +649,7 @@ function showTabularModal(){
               <th>Contig</th>
               <th>Deepdive</th>
               <th>Color</th>
+              <th>Hidden?</th>
             </tr>
           </thead>
           <tbody id="${genome}-table-body">
@@ -681,6 +683,7 @@ function showTabularModal(){
         <td>${gene['gene']['contig']}</td>
         <td><button class="btn btn-default btn-sm" id="${genome[0]}-${gene['geneID']}" onclick=transitionTabularModalToDeepdive(event)>Deep Dive</button></td>
         <td><div id="picker-tabular-modal" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div></td>
+        <td><input class="form-hidden-check-input" id="${genome[0]}-${gene['geneID']}-hidden" value="${genome[0]}-${gene['geneID']}" type='checkbox' ${settings['display']['hidden']?.[genome[0]]?.[gene['geneID']] ? 'checked' : null}></input></td>
       </tr>`
     })
     $(`#${genome[0]}-table-body`).append(totalTableString)

From 8fc2c4d64085ba3d7f511a3fdcf9dac20e5ad4dd Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 14 Jul 2022 00:37:40 -0700
Subject: [PATCH 0729/1020] hook annotation colors into state

---
 .../data/interactive/js/genomeview/drawer.js  |  1 +
 anvio/data/interactive/js/genomeview/main.js  |  3 +-
 anvio/data/interactive/js/genomeview/ui.js    | 36 ++++++++++++++-----
 anvio/data/interactive/js/utils.js            |  9 +++++
 4 files changed, 39 insertions(+), 10 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index b0212d386d..959672d656 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -433,6 +433,7 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
   // TODO: use state instead of hardcoded color pickers
 
   // check if gene is highlighted
+  // possibly deprecated - requires new table for user-defined colors
   let pickerCode = genomeID + '-' + geneID;
   if ($('#picker_' + pickerCode).length > 0) {
     color = $('#picker_' + pickerCode).attr('color');
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 4cadaa71ca..ef306e8eb2 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -62,7 +62,7 @@ var canvas;
 var genomeLabelsCanvas;
 var brush;
 var drawer
-var color_db;
+var color_db; // functional annotation type currently being used to color genes
 var counts; // stores # occurences for each category in the current function type
 var genomeData;
 
@@ -123,6 +123,7 @@ function loadAdditionalDataLayers(){
       settings['display']['hidden'] = {}
       settings['display']['colors'] = {}
       settings['display']['colors']['genes'] = {}
+      settings['display']['colors']['genes']['annotations'] = {}
       settings['display']['layers'] = {}
       settings['display']['labels'] = {}
       settings['display']['labels']['set-labels'] = {}
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index f65ee57698..6dd0d0005e 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -175,7 +175,7 @@ function setEventListeners(){
   });
   $('#gene_color_order').on('change', function () {
     color_db = $(this).val();
-    generateColorTable(null, color_db); // TODO: include highlight_genes, fn_colors etc from state
+    generateColorTable(settings.display.colors.genes.annotations[color_db], color_db); // TODO: include highlight_genes, fn_colors etc from state
 
     if(link_gene_label_color_source){
       $('#gene_label_source').val($(this).val())
@@ -210,7 +210,7 @@ function setEventListeners(){
     if(link_gene_label_color_source){
       color_db = $(this).val();
       $('#gene_color_order').val($(this).val())
-      generateColorTable(null, color_db)
+      generateColorTable(settings.display.colors.genes.annotations[color_db], color_db)
     }
     drawer.draw()
   })
@@ -224,7 +224,7 @@ function setEventListeners(){
   })
   $('#show_only_cags_in_window').on('change', function () {
     filter_gene_colors_to_window = !filter_gene_colors_to_window;
-    generateColorTable(null, color_db);
+    generateColorTable(settings.display.colors.genes.annotations[color_db], color_db);
   });
   $('#thresh_count').on('keydown', function (e) {
     if (e.keyCode == 13) { // 13 = enter key
@@ -512,7 +512,9 @@ function showDeepDiveToolTip(event){
         gene.fill = `#${hex}`
         gene.dirty = true
         if(!settings['display']['colors']['genes']?.[event.target.genomeID]?.[event.target.geneID]){
-          settings['display']['colors']['genes'][event.target.genomeID] = []
+          if(!settings['display']['colors']['genes'][event.target.genomeID]) {
+            settings['display']['colors']['genes'][event.target.genomeID] = [];
+          }
           settings['display']['colors']['genes'][event.target.genomeID][event.target.geneID] = `#${hex}`
         } else {
           settings['display']['colors']['genes'][event.target.genomeID][event.target.geneID] = `#${hex}`
@@ -1156,11 +1158,25 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
   }
 
   $('#tbody_function_colors').empty();
-  Object.keys(db).forEach(category =>
-    appendColorRow(fn_type == 'Source' ? category : category + " (" + counts[category] + ")", category, db[category])
-  );
+  Object.keys(db).forEach(category => {
+    appendColorRow(fn_type == 'Source' ? category : category + " (" + counts[category] + ")", category, db[category]);
+    $('#picker_' + getCleanCagCode(category)).colpick({
+        layout: 'hex',
+        submit: 0,
+        colorScheme: 'light',
+        onChange: function(hsb, hex, rgb, el, bySetColor) {
+            $(el).css('background-color', '#' + hex);
+            $(el).attr('color', '#' + hex);
+            // TODO: save new color once state is implemented
+            //state[$('#gene_color_order').val().toLowerCase() + '-colors'][el.id.substring(7)] = '#' + hex;
+            if (!bySetColor) $(el).val(hex);
+        }
+    }).keyup(function() {
+        $(this).colpickSetColor(this.value);
+    });
+  });
 
-  $('.colorpicker').colpick({
+  /*$('.colorpicker').colpick({
       layout: 'hex',
       submit: 0,
       colorScheme: 'light',
@@ -1173,7 +1189,8 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
       }
   }).keyup(function() {
       $(this).colpickSetColor(this.value);
-  });
+      settings['display']['colors']['genes']['annotations'][fn_type][category] = '#' + hex;
+  });*/
 
   if(highlight_genes) {
     let genomes = Object.entries(settings['genomeData']['genomes']).map(g => g[1][0]);
@@ -1216,6 +1233,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
 function resetFunctionColors(fn_colors=null) {
   // TODO: this should reset color dictionaries in state and then redraw table, once state is implemented
   if($('#gene_color_order') == null) return;
+  delete settings['display']['colors']['genes']['annotations'][color_db];
   generateColorTable(fn_colors, color_db);
 }
 
diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index bf3417627c..227e3e63ae 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -64,6 +64,15 @@ function getCagForType(geneFunctions, fn_type) {
   return out;
 }
 
+/*
+ *  @returns target gene's category code for a given functional annotation type,
+ *            given genomeID and geneID.
+ */
+function getCagForID(genomeID, geneID, fn_type) {
+  let funs = settings.genomeData.genomes.find(x => x[0]==genomeID)[1].genes.functions[geneID];
+  return getCagForType(funs, fn_type);
+}
+
 function appendColorRow(label, cagCode, color, prepend=false) {
   let code = getCleanCagCode(cagCode);
   var tbody_content =

From 339f9b517c4c6269207e7417c6c21b1d2a1c1629 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 14 Jul 2022 00:48:17 -0700
Subject: [PATCH 0730/1020] annotations color pickers update state

---
 anvio/data/interactive/js/genomeview/ui.js | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 6dd0d0005e..a8c67c006c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1170,6 +1170,8 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
             // TODO: save new color once state is implemented
             //state[$('#gene_color_order').val().toLowerCase() + '-colors'][el.id.substring(7)] = '#' + hex;
             if (!bySetColor) $(el).val(hex);
+            if(!settings.display.colors.genes.annotations[fn_type]) settings.display.colors.genes.annotations[fn_type] = {};
+            settings.display.colors.genes.annotations[fn_type][category] = '#' + hex;
         }
     }).keyup(function() {
         $(this).colpickSetColor(this.value);

From 2c1b28446cd7aa042ee5b1c8107bab134418b3e9 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 17 Jul 2022 23:24:20 -0700
Subject: [PATCH 0731/1020] add time delay to fix glow genes issue

---
 anvio/data/interactive/js/genomeview/drawer.js     |  9 ++++-----
 anvio/data/interactive/js/genomeview/navigation.js | 10 ++++++++++
 2 files changed, 14 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 959672d656..46f325dce4 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -738,7 +738,7 @@ GenomeDrawer.prototype.adjustScaleInterval = function () {
   $('#genome_scale_interval').val(scaleInterval);
 }
 
-GenomeDrawer.prototype.queryFunctions = function () {
+GenomeDrawer.prototype.queryFunctions = async function () {
   $('#query-results-table').empty()
   $('#query-results-span').empty()
   let query = $('#function_search_query').val().toLowerCase()
@@ -846,12 +846,11 @@ GenomeDrawer.prototype.queryFunctions = function () {
   renderAllGenes()
 
   $('#function-query-results-statement').text(`Retreived ${glowPayload.length} hit(s) from ${Object.keys(foundInGenomes).length} genomes`)
-  zoomOut('partial', lowestStart, highestEnd)
-  console.log(glowPayload);
+  await zoomOutAndWait('partial', lowestStart, highestEnd, 350)
   this.glowGenes(glowPayload)
 }
 
-GenomeDrawer.prototype.queryMetadata = function(metadataLabel){
+GenomeDrawer.prototype.queryMetadata = async function(metadataLabel){
   $('#query-results-table').empty()
   let glowPayload = Array()
   let foundInGenomes = Object()
@@ -891,7 +890,7 @@ GenomeDrawer.prototype.queryMetadata = function(metadataLabel){
     lowestStart = 0
     highestEnd = genomeMax
   }
-  zoomOut('partial', lowestStart, highestEnd)
+  await zoomOutAndWait('partial', lowestStart, highestEnd, 350)
   this.glowGenes(glowPayload)
 }
 
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index c4c5ad55b9..81b639b12b 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -69,6 +69,16 @@
     brush.event(d3.select(".brush").transition());
   }
 
+  async function zoomOutAndWait(type, start, end, time) {
+    zoomOut(type, start, end);
+
+    return new Promise(resolve => {
+      setTimeout(() => {
+        resolve();
+      }, time);
+    });
+  }
+
 /*
  *  Resets viewport if outside bounds of the view window, with padding on each end
  */

From c8895da31339a974df1127cb306fde65dda42754 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 18 Jul 2022 18:53:18 +0000
Subject: [PATCH 0732/1020] stub sequence rendering

---
 anvio/data/interactive/genomeview.html     |  3 +-
 anvio/data/interactive/js/genomeview/ui.js | 58 +++++++++++++++++++---
 2 files changed, 52 insertions(+), 9 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 1e89ed8c20..a1096bd8c5 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -120,8 +120,9 @@ <h4 class="modal-title">Viewport Genomic Data</h4>
                 <div class="modal-multiselect-col">
                   <button class="btn btn-default p-3" onclick="gatherTabularModalSelectedItems('glow')">Glow selected in sequence</button>
                   <button class="btn btn-default p-3">Export selected as contig.db</button>
-                  <button class="btn btn-default p-3" id="export-tabular-modal-csv" onclick="exportTabularModalToCSV()">Export table as CSV</button>
+                  <button class="btn btn-default p-3" id="export-tabular-modal-csv" onclick="exportTabularModalToTSV()">Export table as TSV</button>
                 </div>
+                <div id="tabular-modal-sequence-checkboxes"></div>
                 <div>
                   <input type='text' placeholder='metadata tag'/>
                   <button class="btn btn-default">Add metadata tag to selected</button>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 36b1a5389a..396001156e 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -582,7 +582,6 @@ function showTabularModal(){
   var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow')
   var genomesObj = Object()
   var functionSourcesArr = Array()
-  console.log(settings)
 
   arrows.map(arrow => {
     if(!genomesObj[arrow['genomeID']]){
@@ -599,6 +598,37 @@ function showTabularModal(){
     }
   })
 
+  // handleSequenceSourceSelect = (target, type) => {
+  //   if(target.is(':checked'){
+  //     // Object.entries(genomesObj).map(genome => {
+  //     //   $(`#${genome[0]}-tabular-modal-table-header-tr`).append(`<th id='th-source-${genome[0]}-${type}'>${type}</th>`)
+  //     //   genome[1].forEach(gene => {
+  //     //     $(`#${genome[0]}-table-row-${gene['geneID']}`).append(`<td id='${genome[0]}-${gene['geneID']}-${target.value}'>${gene['functions'][target.value][1]}</td>`)
+  //     //   })
+  //   //   })
+  //   // })
+  // }
+
+  handleSequenceSourceSelect = (target, type) => {
+    if($(target).is(':checked')){
+      Object.entries(genomesObj).map(genome => {
+        $(`#${genome[0]}-tabular-modal-table-header-tr`).append(`<th id='th-source-${genome[0]}-${type}'>${type}</th>`)
+        genome[1].forEach(gene => {
+          // $(`#${genome[0]}-table-row-${gene['geneID']}`).append(`<td>${gene[type]}</td>`)
+          console.log(settings[genomeData][genomes])
+        })
+      })
+    } else {
+      Object.entries(genomesObj).map(genome => {
+        $(`#th-source-${genome[0]}-${type}`).remove()
+        genome[1].forEach(gene => {
+          // $(`#${genome[0]}-${gene['geneID']}-${target.value}`).remove()
+        })
+      })
+
+    }
+  }
+
   handleAnnotationSourceSelect = (target) => {
     if($(target).is(":checked")){
       Object.entries(genomesObj).map(genome => {
@@ -631,6 +661,18 @@ function showTabularModal(){
     )
   })
 
+  $('#tabular-modal-sequence-checkboxes').empty()
+  $('#tabular-modal-sequence-checkboxes').append(
+	`
+	<label for="'tabular-dna-seq-checkbox">DNA Sequence</label>
+	<input type='checkbox' id='tabular-dna-seq-checkbox' onclick="handleSequenceSourceSelect(this, 'dna')"/>
+	<br>
+	<label for="'tabular-aa-seq-checkbox" onclick="handleSequenceSourceSelect(this, 'aa')">AA Sequence</label>
+	<input type='checkbox' id='tabular-aa-seq-checkbox' onclick="handleSequenceSourceSelect(this, 'aa')"/>
+	<br>
+	`
+  )
+
   Object.keys(genomesObj).map((genome, idx) => {
     $('#tabular-modal-nav-tabs').append(`
       <li class="${idx == 0 ? 'active' : ''}"><a data-toggle="tab" href="#${genome}">${genome}</a></li>
@@ -642,7 +684,7 @@ function showTabularModal(){
           <thead id='tabular-modal-table-head'>
             <tr id='${genome}-tabular-modal-table-header-tr'>
               <th><input class="form-check-input" type='checkbox'></input> Select</th>
-              <th>Gene ID</th>
+              <th>Gene Caller ID</th>
               <th>Start</th>
               <th>Stop</th>
               <th>Direction</th>
@@ -749,7 +791,7 @@ function transitionTabularModalToDeepdive(event){
   showDeepDiveToolTip(generatedEventObj)
 }
 
-function exportTabularModalToCSV(){
+function exportTabularModalToTSV(){
 
   // TODO function to strip out UI columns before processing
   let titles = new Array;
@@ -764,19 +806,19 @@ function exportTabularModalToCSV(){
     data.push($(this).text());
   });
 
-  let CSVString = prepCSVRow(titles, titles.length, '');
-  CSVString = prepCSVRow(data, titles.length, CSVString);
+  let CSVString = prepTSVRow(titles, titles.length, '');
+  CSVString = prepTSVRow(data, titles.length, CSVString);
   let downloadLink = document.createElement("a");
   let blob = new Blob(["\ufeff", CSVString]);
   let url = URL.createObjectURL(blob);
   downloadLink.href = url;
-  downloadLink.download = `${active}-tabular-modal-table.csv`;
+  downloadLink.download = `${active}-tabular-modal-table.tsv`;
   downloadLink.click()
 }
 
-function prepCSVRow(arr, columnCount, initial) { // https://stackoverflow.com/questions/40428850/how-to-export-data-from-table-to-csv-file-using-jquery
+function prepTSVRow(arr, columnCount, initial) { // https://stackoverflow.com/questions/40428850/how-to-export-data-from-table-to-csv-file-using-jquery
   var row = ''; // this will hold data
-  var delimeter = ','; // data slice separator, in excel it's `;`, in usual CSv it's `,`
+  var delimeter = '\t'; // data slice separator, in excel it's `;`, in usual CSv it's `,`
   var newLine = '\r\n'; // newline separator for CSV row
 
   /*

From 39399b6ccee01ca9fc324cd01223283a28b94210 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 18 Jul 2022 19:10:15 +0000
Subject: [PATCH 0733/1020] add sequence data to gene arrow obj

---
 anvio/data/interactive/js/genomeview/drawer.js | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 46f325dce4..0eca058f91 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -500,6 +500,7 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
   }
 
   var arrow = new fabric.Path(arrowPathStr);
+  let genomeOfInterest = settings['genomeData']['genomes'].filter(genome => genome[0] == genomeID)
   arrow.set({
     id: 'arrow',
     groupID: genomeID,
@@ -509,6 +510,8 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
     hasBorders: false,
     lockScaling: true,
     opacity: settings['display']['hidden']?.[genomeID]?.[geneID] ? .2 : 1.0,
+    aaSequence: genomeOfInterest[0][1]['genes']['aa'][geneID]['sequence'],
+    dnaSequence: genomeOfInterest[0][1]['genes']['dna'][geneID]['sequence'],
     gene: gene,
     functions: functions,
     geneID: geneID,

From 1def999e06060b86ab1bfc2925614b3d8deed70f Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 18 Jul 2022 19:10:25 +0000
Subject: [PATCH 0734/1020] show/hide sequence in tabular modal

---
 anvio/data/interactive/js/genomeview/ui.js | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 584eb46653..90d2644153 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -616,15 +616,18 @@ function showTabularModal(){
       Object.entries(genomesObj).map(genome => {
         $(`#${genome[0]}-tabular-modal-table-header-tr`).append(`<th id='th-source-${genome[0]}-${type}'>${type}</th>`)
         genome[1].forEach(gene => {
-          // $(`#${genome[0]}-table-row-${gene['geneID']}`).append(`<td>${gene[type]}</td>`)
-          console.log(settings[genomeData][genomes])
+          if(type == 'dna'){
+            $(`#${genome[0]}-table-row-${gene['geneID']}`).append(`<td id='${genome[0]}-${gene['geneID']}-sequence'>${gene['dnaSequence']}</td>`)
+          } else if(type == 'aa'){
+            $(`#${genome[0]}-table-row-${gene['geneID']}`).append(`<td id='${genome[0]}-${gene['geneID']}-sequence'>${gene['aaSequence']}</td>`)
+          }
         })
       })
     } else {
       Object.entries(genomesObj).map(genome => {
         $(`#th-source-${genome[0]}-${type}`).remove()
         genome[1].forEach(gene => {
-          // $(`#${genome[0]}-${gene['geneID']}-${target.value}`).remove()
+          $(`#${genome[0]}-${gene['geneID']}-sequence`).remove()
         })
       })
 

From 4a24658a5bdcd1e4a66d476d7978536fbd53ddf8 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 18 Jul 2022 19:37:26 +0000
Subject: [PATCH 0735/1020] show/hide individual gene logic

---
 anvio/data/interactive/js/genomeview/ui.js | 21 ++++++++++++++++++++-
 1 file changed, 20 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 90d2644153..040498c250 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -656,6 +656,21 @@ function showTabularModal(){
     }
   }
 
+  handleGeneShowHideToggle = (target) => {
+    let [genomeID, geneID] = target.value.split('-')
+
+    if($(target).is(':checked')){
+      if(genomeID in settings['display']['hidden']){
+        settings['display']['hidden'][genomeID][geneID] = true
+      } else {
+        settings['display']['hidden'][genomeID] = {}
+        settings['display']['hidden'][genomeID][geneID] = true
+      }
+    } else {
+      delete settings['display']['hidden'][genomeID][geneID]
+    }
+  }
+
   $('#tabular-modal-annotation-checkboxes').empty()
   functionSourcesArr.map(s => {
     $('#tabular-modal-annotation-checkboxes').append(
@@ -730,7 +745,11 @@ function showTabularModal(){
         <td>${gene['gene']['contig']}</td>
         <td><button class="btn btn-default btn-sm" id="${genome[0]}-${gene['geneID']}" onclick=transitionTabularModalToDeepdive(event)>Deep Dive</button></td>
         <td><div id="picker-tabular-modal" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div></td>
-        <td><input class="form-hidden-check-input" id="${genome[0]}-${gene['geneID']}-hidden" value="${genome[0]}-${gene['geneID']}" type='checkbox' ${settings['display']['hidden']?.[genome[0]]?.[gene['geneID']] ? 'checked' : null}></input></td>
+        <td><input class="form-hidden-check-input"
+                   id="${genome[0]}-${gene['geneID']}-hidden" value="${genome[0]}-${gene['geneID']}"
+                   onclick='handleGeneShowHideToggle(this)'
+                   type='checkbox' ${settings['display']['hidden']?.[genome[0]]?.[gene['geneID']] ? 'checked' : null}>
+        </input></td>
       </tr>`
     })
     $(`#${genome[0]}-table-body`).append(totalTableString)

From 7e40ffeeace55999c55ec81b98042cae98e8493c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 18 Jul 2022 19:47:45 +0000
Subject: [PATCH 0736/1020] re-render show/hide genes after click

---
 anvio/data/interactive/js/genomeview/ui.js | 18 ++++++------------
 1 file changed, 6 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 040498c250..cd40506e68 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -600,17 +600,6 @@ function showTabularModal(){
     }
   })
 
-  // handleSequenceSourceSelect = (target, type) => {
-  //   if(target.is(':checked'){
-  //     // Object.entries(genomesObj).map(genome => {
-  //     //   $(`#${genome[0]}-tabular-modal-table-header-tr`).append(`<th id='th-source-${genome[0]}-${type}'>${type}</th>`)
-  //     //   genome[1].forEach(gene => {
-  //     //     $(`#${genome[0]}-table-row-${gene['geneID']}`).append(`<td id='${genome[0]}-${gene['geneID']}-${target.value}'>${gene['functions'][target.value][1]}</td>`)
-  //     //   })
-  //   //   })
-  //   // })
-  // }
-
   handleSequenceSourceSelect = (target, type) => {
     if($(target).is(':checked')){
       Object.entries(genomesObj).map(genome => {
@@ -658,7 +647,7 @@ function showTabularModal(){
 
   handleGeneShowHideToggle = (target) => {
     let [genomeID, geneID] = target.value.split('-')
-
+    let arrow = canvas.getObjects().filter(obj => obj.id == 'arrow').find(arrow => arrow.geneID == geneID && arrow.genomeID == genomeID)
     if($(target).is(':checked')){
       if(genomeID in settings['display']['hidden']){
         settings['display']['hidden'][genomeID][geneID] = true
@@ -666,9 +655,14 @@ function showTabularModal(){
         settings['display']['hidden'][genomeID] = {}
         settings['display']['hidden'][genomeID][geneID] = true
       }
+      arrow.opacity = 0.1
     } else {
       delete settings['display']['hidden'][genomeID][geneID]
+      arrow.opacity = 1
     }
+    // re-render arrow objects with updated opacity values
+    arrow.dirty = true
+    canvas.renderAll()
   }
 
   $('#tabular-modal-annotation-checkboxes').empty()

From b9d2eae8e1788ee59b6064500b0ddb33d9b8e015 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 18 Jul 2022 22:19:17 +0000
Subject: [PATCH 0737/1020] generate header content + blast string for aa, dna

---
 anvio/data/interactive/js/genomeview/ui.js | 19 +++++++++++++++----
 1 file changed, 15 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index cd40506e68..0061d9d7f2 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -431,11 +431,11 @@ function showDeepDiveToolTip(event){
   })
 
   $('#gene-dna-sequence-button').on('click', function(){
-    show_sequence_modal('DNA Sequence', settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence'])
+    show_sequence_modal('DNA Sequence', settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID], event.target.geneID, event.target.genomeID)
   })
 
   $('#gene-aa-sequence-button').on('click', function(){
-    show_sequence_modal('AA Sequence', settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['aa'][event.target.geneID]['sequence'])
+    show_sequence_modal('AA Sequence', settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['aa'][event.target.geneID], event.target.geneID, event.target.genomeID)
   })
 
   $('#gene-blastx-at-nr-button').on('click', function(){
@@ -555,11 +555,22 @@ function showToolTip(event){
   $('#mouseover-panel-annotations-table-body').append(totalAnnotationsString)
 }
 
-function show_sequence_modal(title, content) {
+function show_sequence_modal(title, gene, geneID, genomeID) {
  // remove previous modal window
   $('.modal-sequence').modal('hide');
   $('.modal-sequence').remove();
 
+  let header, content
+  if(title == 'DNA Sequence'){
+    header = `>${geneID}|contig:${gene['contig']}|start:${gene['start']}|stop:${gene['stop']}|direction:${gene['direction']}|rev_compd:${gene['rev_compd']}|length:${gene['length']}`
+    content = header + '\n' + gene['sequence']
+  } else if (title == 'AA Sequence' ){
+    // get header data from equivalent gene dna object, as gene aa object only contains sequence
+    let dna_gene_obj = settings['genomeData']['genomes'].filter(g => g[0] == genomeID)[0][1]['genes']['dna'][geneID]
+    header = `>${geneID}|contig:${dna_gene_obj['contig']}|start:${dna_gene_obj['start']}|stop:${dna_gene_obj['stop']}|direction:${dna_gene_obj['direction']}|rev_compd:${dna_gene_obj['rev_compd']}|length:${dna_gene_obj['length']}`
+    content = header + '\n' + gene['sequence']
+  }
+
   $('body').append('<div class="modal modal-sequence" style="z-index: 10000;"> \
       <div class="modal-dialog"> \
           <div class="modal-content"> \
@@ -568,7 +579,7 @@ function show_sequence_modal(title, content) {
                   <h4 class="modal-title">' + title + '</h4> \
               </div> \
               <div class="modal-body"> \
-                      <textarea class="form-control" style="width: 100%; height: 100%; font-family: monospace;" rows="16" onclick="$(this).select();" readonly>' + (content.startsWith('>') ? content : '>' + content) + '</textarea> \
+                      <textarea class="form-control" style="width: 100%; height: 100%; font-family: monospace;" rows="16" onclick="$(this).select();" readonly>' + content + '</textarea> \
               </div> \
               <div class="modal-footer"> \
                   <button class="btn btn-default" data-dismiss="modal" type="button">Close</button> \

From 0a6463e0e351221e2569e05a44d87a67881ecdb7 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 22 Jul 2022 00:08:26 -0700
Subject: [PATCH 0738/1020] add parameters for timed/indefinite gene glow

---
 .../data/interactive/js/genomeview/drawer.js  | 36 +++++++++++++++++--
 1 file changed, 33 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 0eca058f91..993f348ffd 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -584,7 +584,7 @@ GenomeDrawer.prototype.shadeGeneClusters = function (geneClusters, colors) {
  *    (1) [{genomeID: gid_1, geneID: [id_1, id_2, ...]}, ...]
  *    (2) [{genomeID: gid_1, geneID: id_1}, ...]
  */
-GenomeDrawer.prototype.glowGenes = function (geneParams) {
+GenomeDrawer.prototype.glowGenes = function (geneParams, indefinite=false, timeInterval=5000) {
   // convert geneParams format (1) to format (2)
   if (Array.isArray(geneParams[0].geneID)) {
     let newParams = [];
@@ -594,23 +594,53 @@ GenomeDrawer.prototype.glowGenes = function (geneParams) {
     geneParams = newParams;
   }
 
+  this.removeAllGeneGlows();
+
   var shadow = new fabric.Shadow({
     color: 'red',
     blur: 30
   });
   var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow' && geneParams.some(g => g.genomeID == obj.genomeID && g.geneID == obj.geneID));
+
+  if(indefinite) {
+    settings['display']['glowAnimationID'] = setInterval(function () {
+      for(arrow of arrows) {
+        arrow.set('shadow', shadow);
+        arrow.animate('shadow.blur', shadow.blur == 0 ? 30 : 0, {
+          duration: timeInterval,
+          onChange: canvas.renderAll.bind(canvas),
+          onComplete: function () { /*arrow.shadow = null*/ },
+          easing: fabric.util.ease['easeInOutCubic']
+        });
+      }
+      canvas.renderAll.bind(canvas)
+    }, timeInterval+100);
+  }
+
   for (arrow of arrows) {
     arrow.set('shadow', shadow);
     arrow.animate('shadow.blur', 0, {
-      duration: 5000,
+      duration: timeInterval,
       onChange: canvas.renderAll.bind(canvas),
-      onComplete: function () { arrow.shadow = null; },
+      onComplete: function () {},
       easing: fabric.util.ease['easeInQuad']
     });
   }
   canvas.renderAll();
 }
 
+/*
+ *  Removes all active gene glow effects.
+ */
+GenomeDrawer.prototype.removeAllGeneGlows = function () {
+  clearInterval(settings['display']['glowAnimationID']);
+  settings['display']['glowAnimationID'] = null;
+  canvas.getObjects().filter(obj => obj.id == 'arrow' && obj.shadow).forEach(arrow => {
+    delete arrow.shadow;
+  });
+  canvas.renderAll();
+}
+
 /*
  *  Shift genomes horizontally to align genes around the target gene cluster.
  *

From 55dcc244fc0a41694b76b30587707634bc8db34d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 22 Jul 2022 17:01:53 +0000
Subject: [PATCH 0739/1020] I guess we want people to be able to read this
 stuff huh

---
 anvio/data/interactive/css/genomeview.css | 70 ++++++++++++-----------
 1 file changed, 37 insertions(+), 33 deletions(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index 7389c88f19..baea1eaff2 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -1,9 +1,9 @@
 .container {
-    width: 95%; 
+    width: 95%;
     align-content: center;
     margin: 0 auto 20px auto;
-    background: rgba(255,255,255,0.5);
-    box-shadow: 1px 1px 4px rgba(0,0,0,0.2);
+    background: rgba(255, 255, 255, 0.5);
+    box-shadow: 1px 1px 4px rgba(0, 0, 0, 0.2);
     padding: 20px 30px;
     touch-action: none;
 }
@@ -12,11 +12,11 @@ svg {
     font-family: 'Lato', Arial, serif;
     font-size: 10px;
     font-weight: 700;
-    text-shadow: 0 1px 1px rgba(255,255,255,0.8);
+    text-shadow: 0 1px 1px rgba(255, 255, 255, 0.8);
 }
 
 g.scale g.brush rect.background {
-    fill: rgba(0,0,0,.1);
+    fill: rgba(0, 0, 0, .1);
 }
 
 g.scale g.axis path {
@@ -27,7 +27,8 @@ g.scale g.axis line {
     stroke-opacity: .5;
 }
 
-.axis path, .axis line {
+.axis path,
+.axis line {
     fill: none;
     stroke: #aaa;
     shape-rendering: crispEdges;
@@ -39,25 +40,26 @@ g.scale g.axis line {
     shape-rendering: crispEdges;
 }
 
-g.scale rect.background{
-    fill: rgb(200,200,255);
+g.scale rect.background {
+    fill: rgb(200, 200, 255);
     visibility: visible !important;
     pointer-events: all;
 }
 
-#tooltip-body{
+#tooltip-body {
     background-color: white;
     opacity: 100%;
     border-style: solid;
     border-width: 3px;
-    padding : 10px;
+    padding: 10px;
 }
-#deepdive-tooltip-body{
+
+#deepdive-tooltip-body {
     background-color: white;
     opacity: 100%;
     border-style: solid;
     border-width: 3px;
-    padding : 10px;
+    padding: 10px;
 }
 
 
@@ -75,6 +77,7 @@ g.scale rect.background{
     right: 0px;
     z-index: 999;
 }
+
 #toggle-panel-query {
     position: fixed;
     height: 100px;
@@ -106,7 +109,7 @@ g.scale rect.background{
 }
 
 #settings-panel {
-  	display: none;
+    display: none;
     top: 0px;
     right: 0px;
     position: fixed;
@@ -116,31 +119,31 @@ g.scale rect.background{
     opacity: 0.9;
     width: 530px;
     padding: 20px;
-    font-family: "Helvetica Neue",Helvetica,Arial,sans-serif;
+    font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
     overflow-y: scroll;
     z-index: 999;
     color: black;
 }
 
 #query-panel {
-  	display: none;
+    display: none;
     top: 0px;
     right: 0px;
     position: fixed;
     height: 100%;
     background: url('../images/fractal.jpg') center center scroll;
     border-left: 1px solid #D3D3D3;
-    opacity: 0.9;
+    opacity: 0.95;
     width: 530px;
     padding: 20px;
-    font-family: "Helvetica Neue",Helvetica,Arial,sans-serif;
+    font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
     overflow-y: scroll;
     z-index: 999;
     color: black;
 }
 
 #mouseover-panel {
-  	display: none;
+    display: none;
     top: 0px;
     right: 0px;
     position: fixed;
@@ -150,7 +153,7 @@ g.scale rect.background{
     opacity: 0.9;
     width: 530px;
     padding: 20px;
-    font-family: "Helvetica Neue",Helvetica,Arial,sans-serif;
+    font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
     overflow-y: scroll;
     z-index: 999;
     color: black;
@@ -174,12 +177,12 @@ g.scale rect.background{
 }
 
 #settings-section-info-SNV-warning {
-  display: none;
-  color: red;
+    display: none;
+    color: red;
 }
 
 #settings-panel code {
-	padding: 1.4px 2px;
+    padding: 1.4px 2px;
     font-size: 90%;
     color: #c7254e;
     background-color: #f3f3f3;
@@ -199,9 +202,11 @@ g.scale rect.background{
 .toggle-panel-settings-pos {
     right: 530px !important;
 }
+
 .toggle-panel-query-pos {
     right: 530px !important;
 }
+
 .toggle-panel-mouseover-pos {
     right: 530px !important;
 }
@@ -219,51 +224,50 @@ g.scale rect.background{
     border-right: 1px solid #D3D3D3;
 }
 
-.sidebar-footer > .btn {
+.sidebar-footer>.btn {
     width: 50%;
 }
 
-body{
+body {
     font-family: 'Lato', Arial, serif;
     font-weight: 300;
     font-size: 14px;
-    color: #888;
     -webkit-font-smoothing: antialiased;
 }
 
-a{
+a {
     color: #722;
     text-decoration: none;
 }
 
-#labelAndMainContainer{
+#labelAndMainContainer {
     display: flex;
     flex-direction: row;
 }
 
-#labelAndDropdownContainer{
+#labelAndDropdownContainer {
     border-style: solid;
     border-width: 1;
     padding: 15px;
     margin: 5px;
 }
 
-#scaleContainer{
+#scaleContainer {
     border-style: solid;
     border-width: 3px;
     background: white;
     padding: 15px;
     margin: 5px;
     position: fixed;
-    bottom : 25px; 
-    background-color: rgba(255,255,255, 0.8);
+    bottom: 25px;
+    background-color: rgba(255, 255, 255, 0.8);
 }
 
-#tabular-modal-body{
+#tabular-modal-body {
     overflow-y: scroll;
 }
 
-.modal-multiselect-col{
+.modal-multiselect-col {
     display: flex;
     flex-direction: column;
     width: 40%;

From 33eb0085624428e4a8462d44a8583bd7f8a5a2bd Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 22 Jul 2022 18:07:33 +0000
Subject: [PATCH 0740/1020] safety padding under state modal, opacity

---
 anvio/data/interactive/css/genomeview.css |   6 +-
 anvio/data/interactive/genomeview.html    | 925 +++++++++++-----------
 2 files changed, 468 insertions(+), 463 deletions(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index baea1eaff2..50d070c489 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -116,7 +116,7 @@ g.scale rect.background {
     height: 100%;
     background: url('../images/fractal.jpg') center center scroll;
     border-left: 1px solid #D3D3D3;
-    opacity: 0.9;
+    opacity: 0.97;
     width: 530px;
     padding: 20px;
     font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
@@ -133,7 +133,7 @@ g.scale rect.background {
     height: 100%;
     background: url('../images/fractal.jpg') center center scroll;
     border-left: 1px solid #D3D3D3;
-    opacity: 0.95;
+    opacity: 0.97;
     width: 530px;
     padding: 20px;
     font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
@@ -150,7 +150,7 @@ g.scale rect.background {
     height: 100%;
     background: url('../images/fractal.jpg') center center scroll;
     border-left: 1px solid #D3D3D3;
-    opacity: 0.9;
+    opacity: 0.97;
     width: 530px;
     padding: 20px;
     font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index a1096bd8c5..b672a7b9c7 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -74,11 +74,12 @@
       <div id="scaleBox" height="140px">
         <svg id="scaleSvg" height="120px"></svg>
       </div>
-      <button data-toggle="modal" data-target="#tabular-modal-body" class="btn btn-default btn-lg">Display Viewport Data</button>
+      <button data-toggle="modal" data-target="#tabular-modal-body" class="btn btn-default btn-lg">Display Viewport
+        Data</button>
       <button id="zoom-out" onclick="zoomOut()" style="float:right">-</button>
       <button id="zoom-in" onclick="zoomIn()" style="float:right; margin-right:5px">+</button>
       <input type="text" class="form-control input-sm" id="brush_start"
-      style="width: 60px; float:left; margin-right:10px" value="0"></input>
+        style="width: 60px; float:left; margin-right:10px" value="0"></input>
       <input type="text" class="form-control input-sm" id="brush_end" style="width: 60px; float:left" value="0"></input>
       <select id='bookmarks-select' style="width: 120px; float:left; margin-left:10px">
         <option selected="true" disabled="disabled">Bookmarks</option>
@@ -86,54 +87,16 @@
       <p id='bookmark-description' style="width: 300px; float:left; margin-left:10px; font-size: large;"></p>
     </div>
     <div id='tooltip-body' display='none'></div>
-      <div id='deepdive-modal-body' class="modal">
-        <div class="modal-dialog modal-lg">
-          <div class="modal-content">
-            <div class="modal-header">
-              <button type="button" class="close" data-dismiss="modal">&times;</button>
-              <h4 class="modal-title">Deepdive Tooltip</h4>
-            </div>
-            <div class="modal-body" >
-              <div class="container-fluid">
-                <div id="deepdive-modal-tab-content" class="tab-content" role="dialog"></div>
-              </div>
-            </div>
-            <div class="modal-footer">
-              <button type="button" class="btn btn-default" data-dismiss="modal">Close</button>
-            </div>
-          </div>
-        </div>
-      </div>
-    </div>
-
-    <div id='tabular-modal-body' class="modal">
+    <div id='deepdive-modal-body' class="modal">
       <div class="modal-dialog modal-lg">
         <div class="modal-content">
           <div class="modal-header">
             <button type="button" class="close" data-dismiss="modal">&times;</button>
-            <h4 class="modal-title">Viewport Genomic Data</h4>
+            <h4 class="modal-title">Deepdive Tooltip</h4>
           </div>
-          <div class="modal-body" >
+          <div class="modal-body">
             <div class="container-fluid">
-              <ul class="nav nav-tabs" id="tabular-modal-nav-tabs"></ul>
-              <div id="modal-multiselect-content" class="tab-content" role="dialog">
-                <div class="modal-multiselect-col">
-                  <button class="btn btn-default p-3" onclick="gatherTabularModalSelectedItems('glow')">Glow selected in sequence</button>
-                  <button class="btn btn-default p-3">Export selected as contig.db</button>
-                  <button class="btn btn-default p-3" id="export-tabular-modal-csv" onclick="exportTabularModalToTSV()">Export table as TSV</button>
-                </div>
-                <div id="tabular-modal-sequence-checkboxes"></div>
-                <div>
-                  <input type='text' placeholder='metadata tag'/>
-                  <button class="btn btn-default">Add metadata tag to selected</button>
-                </div>
-                <div>
-                  <div id="multiselect-picker-tabular-modal" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div>
-                  <button class="btn btn-default">Color selected</button>
-                </div>
-                <div id="tabular-modal-annotation-checkboxes"></div>
-              </div>
-              <div id="modal-tab-content" class="tab-content" role="dialog"></div>
+              <div id="deepdive-modal-tab-content" class="tab-content" role="dialog"></div>
             </div>
           </div>
           <div class="modal-footer">
@@ -142,84 +105,105 @@ <h4 class="modal-title">Viewport Genomic Data</h4>
         </div>
       </div>
     </div>
+  </div>
 
-    <div class="modal" id='lasso-modal-body'>
-      <div class="modal-dialog modal-sm">
-        <div class="modal-content">
-          <div class="modal-header">
-            <button type="button" class="close" data-dismiss="modal">&times;</button>
-            <h4 class="modal-title">Lasso</h4>
-          </div>
-          <div class="modal-body" id="lasso-modal-content">
-
-          </div>
-          <div class="modal-footer">
-            <button type="button" class="btn btn-default" data-dismiss="modal">Close</button>
+  <div id='tabular-modal-body' class="modal">
+    <div class="modal-dialog modal-lg">
+      <div class="modal-content">
+        <div class="modal-header">
+          <button type="button" class="close" data-dismiss="modal">&times;</button>
+          <h4 class="modal-title">Viewport Genomic Data</h4>
+        </div>
+        <div class="modal-body">
+          <div class="container-fluid">
+            <ul class="nav nav-tabs" id="tabular-modal-nav-tabs"></ul>
+            <div id="modal-multiselect-content" class="tab-content" role="dialog">
+              <div class="modal-multiselect-col">
+                <button class="btn btn-default p-3" onclick="gatherTabularModalSelectedItems('glow')">Glow selected in
+                  sequence</button>
+                <button class="btn btn-default p-3">Export selected as contig.db</button>
+                <button class="btn btn-default p-3" id="export-tabular-modal-csv"
+                  onclick="exportTabularModalToTSV()">Export table as TSV</button>
+              </div>
+              <div id="tabular-modal-sequence-checkboxes"></div>
+              <div>
+                <input type='text' placeholder='metadata tag' />
+                <button class="btn btn-default">Add metadata tag to selected</button>
+              </div>
+              <div>
+                <div id="multiselect-picker-tabular-modal" class="colorpicker" color="#808080"
+                  background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px">
+                </div>
+                <button class="btn btn-default">Color selected</button>
+              </div>
+              <div id="tabular-modal-annotation-checkboxes"></div>
+            </div>
+            <div id="modal-tab-content" class="tab-content" role="dialog"></div>
           </div>
         </div>
+        <div class="modal-footer">
+          <button type="button" class="btn btn-default" data-dismiss="modal">Close</button>
+        </div>
       </div>
     </div>
+  </div>
 
-    <div id="toggle-panel-settings" onclick="toggleRightPanel('#settings-panel')">
-      <span id="toggle-panel-settings-inner">&#9664;</span><span
-        style="display: block; font-size: 11px; transform: rotate(90deg);"><u>S</u>ETTINGS</span>
+  <div class="modal" id='lasso-modal-body'>
+    <div class="modal-dialog modal-sm">
+      <div class="modal-content">
+        <div class="modal-header">
+          <button type="button" class="close" data-dismiss="modal">&times;</button>
+          <h4 class="modal-title">Lasso</h4>
+        </div>
+        <div class="modal-body" id="lasso-modal-content">
+
+        </div>
+        <div class="modal-footer">
+          <button type="button" class="btn btn-default" data-dismiss="modal">Close</button>
+        </div>
+      </div>
     </div>
-    <div id="settings-panel">
-      <div id="sidebar">
-        <div class="tab-content"></div>
+  </div>
 
-        <span class="settings-header">Genome Arrangement</span>
-        <table id="genome-arrangement" style="margin-bottom: 20px;">
-          <tbody>
-            <tr>
-              <td>Genome spacing:</td>
-              <td><input type="text" class="form-control input-sm" id="genome_spacing" value="30"></td>
-            </tr>
-            <tr>
-              <td>Plot scale:</td>
-              <td><input type="text" class="form-control input-sm" id="plot_scale" value="(TODO)"></td>
-            </tr>
-            <tr>
-              <td>Align to Gene Cluster: </td>
-              <td><input id="alignClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
-            </tr>
-            <tr>
-              <td>Pan to Gene Cluster: </td>
-              <td><input id="panClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
-            </tr>
-            <tr>
-              <td>Order Method: </td>
-              <td><select class="type_multiple" id='genome_order_select' style="width: 100px;" class="type"></select>
-              </td>
-            </tr>
-          </tbody>
-        </table>
+  <div id="toggle-panel-settings" onclick="toggleRightPanel('#settings-panel')">
+    <span id="toggle-panel-settings-inner">&#9664;</span><span
+      style="display: block; font-size: 11px; transform: rotate(90deg);"><u>S</u>ETTINGS</span>
+  </div>
+  <div id="settings-panel">
+    <div id="sidebar">
+      <div class="tab-content"></div>
 
-        <span class="settings-header">Genomes</span>
+      <span class="settings-header">Genome Arrangement</span>
+      <table id="genome-arrangement" style="margin-bottom: 20px;">
+        <tbody>
+          <tr>
+            <td>Genome spacing:</td>
+            <td><input type="text" class="form-control input-sm" id="genome_spacing" value="30"></td>
+          </tr>
+          <tr>
+            <td>Plot scale:</td>
+            <td><input type="text" class="form-control input-sm" id="plot_scale" value="(TODO)"></td>
+          </tr>
+          <tr>
+            <td>Align to Gene Cluster: </td>
+            <td><input id="alignClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
+          </tr>
+          <tr>
+            <td>Pan to Gene Cluster: </td>
+            <td><input id="panClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
+          </tr>
+          <tr>
+            <td>Order Method: </td>
+            <td><select class="type_multiple" id='genome_order_select' style="width: 100px;" class="type"></select>
+            </td>
+          </tr>
+        </tbody>
+      </table>
 
-        <div id="table_layers_container" style="margin-top: 15px;">
-          <table id="table_genomes" class='sortable'>
-            <thead>
-              <tr>
-                <td></td>
-                <td data-help="layer-name">Name</td>
-                <td data-help="layer-color">
-                  <div style="width: 32px;">Color</div>
-                </td>
-                <td data-help="layer-type">Type</td>
-                <td data-help="layer-norm">Norm.</td>
-                <td data-help="layer-height">Height</td>
-                <td data-help="layer-margin" class="column-margin">Margin</td>
-                <td data-help="layer-min">Min</td>
-                <td data-help="layer-max">Max</td>
-              </tr>
-            </thead>
-            <tbody id="tbody_genomes"></tbody>
-          </table>
-        </div>
+      <span class="settings-header">Genomes</span>
 
-        <span class="settings-header">Group Layers</span>
-        <table id="additionalDataLayersTable" class='sortable' style="margin-bottom: 20px;">
+      <div id="table_layers_container" style="margin-top: 15px;">
+        <table id="table_genomes" class='sortable'>
           <thead>
             <tr>
               <td></td>
@@ -227,420 +211,441 @@ <h4 class="modal-title">Lasso</h4>
               <td data-help="layer-color">
                 <div style="width: 32px;">Color</div>
               </td>
-              <!-- <td data-help="layer-height">Height</td>
-                                <td data-help="layer-margin" class="column-margin">Margin</td> -->
-              <td data-help="layer-min">Show</td>
+              <td data-help="layer-type">Type</td>
+              <td data-help="layer-norm">Norm.</td>
+              <td data-help="layer-height">Height</td>
+              <td data-help="layer-margin" class="column-margin">Margin</td>
+              <td data-help="layer-min">Min</td>
+              <td data-help="layer-max">Max</td>
             </tr>
           </thead>
-          <tbody id='tbody_additionalDataLayers'>
-          </tbody>
-        </table>
-        <table id="adlCustomizationTable" style="margin-bottom: 20px;">
-          <tbody>
-            <tr>
-              <td>Display up to N data points for numeric layers: N = </td>
-              <td><input id="adl_pts_per_layer" class="form-control input-sm" type="text" value="10000" size="6"></td>
-            </tr>
-            <tr>
-              <td><button id="showAllADLPtsBtn" type="button" class="btn btn-primary btn-xs" onclick="showAllADLPts()"
-                  class="btn btn-outline-primary">Show all data points</button></td>
-            </tr>
-          </tbody>
-        </table>
-
-        <span class="settings-header">Scale</span>
-        <table id="scaleTable" style="margin-bottom: 20px;">
-          <tbody>
-            <tr id="dynamic_scale">
-              <td>Dynamic scale interval</td>
-              <td style="float: right">
-                <div style="width: 20px;"><input id="show_dynamic_scale_box" type="checkbox" class="layer_selectors">
-                </div>
-              </td>
-            </tr>
-            <tr id="scale_interval">
-              <td>Genome scale interval: </td>
-              <td><input id="genome_scale_interval" class="form-control input-sm" type="text" value="100" size="4"></td>
-            </tr>
-            <tr>
-              <td><button id="alignRulerBtn" type="button" class="btn btn-primary btn-xs" onclick="drawer.alignRulers()"
-                  class="btn btn-outline-primary">Align genome rulers</button></td>
-            </tr>
-          </tbody>
+          <tbody id="tbody_genomes"></tbody>
         </table>
+      </div>
 
-        <span class="settings-header">Gene arrows</span>
-        <p class="settings-section-info">Change colors of genes based on their functional annotations. You can also
-          manually color genes temporarily. First, right-click on a gene. It will add the gene into the list below with
-          a default color. Then, you can use the color picker next to it to set a color manually.</p>
-        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
-          <label id="arrow_style_label" style="padding-left: 0px;" class="col-md-4 settings-label"
-            data-help="arrow_style" data-original-title="" title="">Arrow style:</label>
-          <div class="col-md-8">
-            <select id="arrow_style" style="margin-bottom: 10px" class="form-control input-xs">
-              <option value=1>Default</option>
-              <option value=2>Wide</option>
-              <option value=3>Pentagon</option>
-              <option value=4>Rect</option>
-            </select>
-          </div>
-        </div>
-        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
-          <label id="gene_colors_label" style="padding-left: 0px;" class="col-md-4 settings-label"
-            data-help="gene_color_order" data-original-title="" title="">Color genes by:</label>
-          <div class="col-md-8">
-            <select id="gene_color_order" style="margin-bottom: 10px" class="form-control input-xs"></select>
-          </div>
-        </div>
-
-        <tbody>
+      <span class="settings-header">Group Layers</span>
+      <table id="additionalDataLayersTable" class='sortable' style="margin-bottom: 20px;">
+        <thead>
           <tr>
-            <td style="margin-bottom: 10px;">Only show categories in the current render window:</td>
-            <td><input type="checkbox" id="show_only_cags_in_window" value="unchecked" style="margin-bottom: 10px;">
+            <td></td>
+            <td data-help="layer-name">Name</td>
+            <td data-help="layer-color">
+              <div style="width: 32px;">Color</div>
             </td>
+            <!-- <td data-help="layer-height">Height</td>
+                                <td data-help="layer-margin" class="column-margin">Margin</td> -->
+            <td data-help="layer-min">Show</td>
+          </tr>
+        </thead>
+        <tbody id='tbody_additionalDataLayers'>
+        </tbody>
+      </table>
+      <table id="adlCustomizationTable" style="margin-bottom: 20px;">
+        <tbody>
+          <tr>
+            <td>Display up to N data points for numeric layers: N = </td>
+            <td><input id="adl_pts_per_layer" class="form-control input-sm" type="text" value="10000" size="6"></td>
           </tr>
-          <br>
           <tr>
-            <td style="margin-bottom: 10px;">Filter:</td>
-            <td><input type="text" class="form-control input-sm" id="thresh_count" value="4"
-                style="margin-bottom: 10px;"></td>
+            <td><button id="showAllADLPtsBtn" type="button" class="btn btn-primary btn-xs" onclick="showAllADLPts()"
+                class="btn btn-outline-primary">Show all data points</button></td>
           </tr>
         </tbody>
+      </table>
 
-        <div class="ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content-active"
-          id="ui-id-2" aria-labelledby="ui-id-1" role="tabpanel" style="display: block;" aria-hidden="false">Sort: <div
-            class="btn-group" role="group">
-            <button type="button" class="btn btn-default" onclick="orderColorTable('alphabetical');"><span
-                class="glyphicon glyphicon-sort-by-alphabet"></span> Alphabetical</button>
-            <button type="button" class="btn btn-default" onclick="orderColorTable('count');"><span
-                class="glyphicon glyphicon-sort-by-order-alt"></span> Count</button>
-          </div>
-          <div class="btn-group" role="group">
-            <button type="button" class="btn btn-default" style="margin-left: 10px;"
-              onclick="$('#batch_coloring').slideToggle();"><span class="glyphicon glyphicon-tint"></span> Batch
-              coloring</button>
-          </div>
-
-          <div id="batch_coloring" style="margin: 10px; display: none;">
-            <table class="col-md-12 table-spacing">
-              <tbody>
-                <tr>
-                  <td class="col-md-2">Rule: </td>
-                  <td class="col-md-10">
-                    <input type="radio" name="batch_rule" value="all" checked=""> All <br>
-                    <input type="radio" name="batch_rule" value="name"> Name contains <input type="text" id="name_rule"
-                      size="8"><br>
-                    <input type="radio" name="batch_rule" value="count"> Count
-                    <select id="count_rule">
-                      <option selected="">==</option>
-                      <option>&lt;</option>
-                      <option>&gt;</option>
-                    </select>
-                    <input type="text" id="count_rule_value" size="3">
-                    <br>
-                  </td>
-                </tr>
-                <tr>
-                  <td class="col-md-2">Color: </td>
-                  <td class="col-md-10">
-                    <div id="batch_colorpicker" class="colorpicker" color="#FFFFFF"
-                      style="margin-right: 5px; background-color: #FFFFFF; float: none; "></div>
-                  </td>
-                </tr>
-                <tr>
-                  <td class="col-md-2"></td>
-                  <td class="col-md-10"><input id="batch_randomcolor" type="checkbox"> Assign random color</td>
-                </tr>
-                <tr>
-                  <td class="col-md-2"></td>
-                  <td class="col-md-10"><button type="button" class="btn btn-default"
-                      onclick="batchColor();">Apply</button></td>
-                </tr>
-              </tbody>
-            </table>
-          </div>
+      <span class="settings-header">Scale</span>
+      <table id="scaleTable" style="margin-bottom: 20px;">
+        <tbody>
+          <tr id="dynamic_scale">
+            <td>Dynamic scale interval</td>
+            <td style="float: right">
+              <div style="width: 20px;"><input id="show_dynamic_scale_box" type="checkbox" class="layer_selectors">
+              </div>
+            </td>
+          </tr>
+          <tr id="scale_interval">
+            <td>Genome scale interval: </td>
+            <td><input id="genome_scale_interval" class="form-control input-sm" type="text" value="100" size="4"></td>
+          </tr>
+          <tr>
+            <td><button id="alignRulerBtn" type="button" class="btn btn-primary btn-xs" onclick="drawer.alignRulers()"
+                class="btn btn-outline-primary">Align genome rulers</button></td>
+          </tr>
+        </tbody>
+      </table>
 
-          <div id="table_function_colors_container" style="margin-top: 20px; color:black">
-            <table id="table_function_colors">
-              <thead id="thead_function_colors">
-                <td></td>
-                <td data-help="function-color">
-                  <div style="width: 32px;"><b>Color</b></div>
-                </td>
-                <td data-help="function-category"><b>Annotation</b></td>
-              </thead>
-              <tbody id="tbody_function_colors"></tbody>
-            </table>
-          </div>
-          <button type="button" class="btn btn-primary btn-xs" onclick="resetFunctionColors()"
-            class="btn btn-outline-primary">Reset Function colors</button>
-
-          <span class="settings-header">Gene links</span>
-          <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
-            <label id="link_style_label" style="padding-left: 0px;" class="col-md-4 settings-label"
-              data-help="link_style" data-original-title="" title="">Link style:</label>
-            <div class="col-md-8">
-              <select id="link_style" style="margin-bottom: 10px" class="form-control input-xs">
-                <option value=1>Straight</option>
-                <option value=2>Curved</option>
-                <option value=3>Line</option>
-                <option value=4>None</option>
-              </select>
-            </div>
-          </div>
-          <select id="shade_by" style="margin-bottom: 10px" class="form-control input-xs">
-            <option value=1>Gene Cluster</option>
-            <option value=2>COG Category</option>
-            <option value=3>KEGG Category</option>
-            <option value=4>Custom</option>
+      <span class="settings-header">Gene arrows</span>
+      <p class="settings-section-info">Change colors of genes based on their functional annotations. You can also
+        manually color genes temporarily. First, right-click on a gene. It will add the gene into the list below with
+        a default color. Then, you can use the color picker next to it to set a color manually.</p>
+      <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
+        <label id="arrow_style_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="arrow_style"
+          data-original-title="" title="">Arrow style:</label>
+        <div class="col-md-8">
+          <select id="arrow_style" style="margin-bottom: 10px" class="form-control input-xs">
+            <option value=1>Default</option>
+            <option value=2>Wide</option>
+            <option value=3>Pentagon</option>
+            <option value=4>Rect</option>
           </select>
-          <p>TODO: Color table for shades (with opacity option too?)</p>
+        </div>
+      </div>
+      <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
+        <label id="gene_colors_label" style="padding-left: 0px;" class="col-md-4 settings-label"
+          data-help="gene_color_order" data-original-title="" title="">Color genes by:</label>
+        <div class="col-md-8">
+          <select id="gene_color_order" style="margin-bottom: 10px" class="form-control input-xs"></select>
+        </div>
+      </div>
+
+      <tbody>
+        <tr>
+          <td style="margin-bottom: 10px;">Only show categories in the current render window:</td>
+          <td><input type="checkbox" id="show_only_cags_in_window" value="unchecked" style="margin-bottom: 10px;">
+          </td>
+        </tr>
+        <br>
+        <tr>
+          <td style="margin-bottom: 10px;">Filter:</td>
+          <td><input type="text" class="form-control input-sm" id="thresh_count" value="4" style="margin-bottom: 10px;">
+          </td>
+        </tr>
+      </tbody>
+
+      <div class="ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content-active"
+        id="ui-id-2" aria-labelledby="ui-id-1" role="tabpanel" style="display: block;" aria-hidden="false">Sort: <div
+          class="btn-group" role="group">
+          <button type="button" class="btn btn-default" onclick="orderColorTable('alphabetical');"><span
+              class="glyphicon glyphicon-sort-by-alphabet"></span> Alphabetical</button>
+          <button type="button" class="btn btn-default" onclick="orderColorTable('count');"><span
+              class="glyphicon glyphicon-sort-by-order-alt"></span> Count</button>
+        </div>
+        <div class="btn-group" role="group">
+          <button type="button" class="btn btn-default" style="margin-left: 10px;"
+            onclick="$('#batch_coloring').slideToggle();"><span class="glyphicon glyphicon-tint"></span> Batch
+            coloring</button>
+        </div>
 
-          <span class="settings-header">Labels</span>
-          <table id="labels-table" style="margin-bottom: 20px;">
+        <div id="batch_coloring" style="margin: 10px; display: none;">
+          <table class="col-md-12 table-spacing">
             <tbody>
-              <tr id="show_genome_labels">
-                <td>Show genome labels</td>
-                <td style="float: right">
-                  <div style="width: 20px;"><input id="show_genome_labels_box" type="checkbox" class="layer_selectors">
-                  </div>
-                </td>
-              </tr>
-              <tr>
-                <td>Genome label size:</td>
-                <td><input type="text" class="form-control input-sm" id="genome_label" value="15"
-                    style="margin-bottom: 10px"></td>
-              </tr>
-              <tr>
-                <td>Genome label color:</td>
-                <td>
-                  <div class="colorpicker" id="genome_label_color" color="#000000"
-                    style="background-color: #000000; margin-bottom: 10px"></div>
-                </td>
-              </tr>
-              <tr id="show_gene_labels">
-                <td>Show gene labels:</td>
-                <td style="float: right">
-                  <div style="width: 20px;"><input id="show_gene_labels_box" type="checkbox" class="layer_selectors">
-                  </div>
-                </td>
-              </tr>
-              <tr id="link_gene_label_color_source">
-                <td>Link gene label/color source:</td>
-                <td style="float: right">
-                  <div style="width: 20px;"><input id="link_gene_label_color_source_box" type="checkbox"
-                      class="layer_selectors"></div>
-                </td>
-              </tr>
-              <tr>
-                <td>Gene label source:</td>
-                <td>
-                  <div class="col-md-8">
-                    <select id="gene_label_source" style="margin-bottom: 10px; margin-left: 0px"
-                      class="form-control input-xs">
-                      <option value='default'>Default</option>
-                      <option value='user'>User-Defined</option>
-                    </select>
-                  </div>
-                </td>
-              </tr>
-              <tr>
-                <td>Gene label size:</td>
-                <td><input type="text" class="form-control input-sm" id="gene_label" value="40"
-                    style="margin-bottom: 10px"></td>
-              </tr>
               <tr>
-                <td>Gene label color:</td>
-                <td>
-                  <div class="colorpicker" id="gene_label_color" color="#000000"
-                    style="background-color: #000000; margin-bottom: 10px"></div>
+                <td class="col-md-2">Rule: </td>
+                <td class="col-md-10">
+                  <input type="radio" name="batch_rule" value="all" checked=""> All <br>
+                  <input type="radio" name="batch_rule" value="name"> Name contains <input type="text" id="name_rule"
+                    size="8"><br>
+                  <input type="radio" name="batch_rule" value="count"> Count
+                  <select id="count_rule">
+                    <option selected="">==</option>
+                    <option>&lt;</option>
+                    <option>&gt;</option>
+                  </select>
+                  <input type="text" id="count_rule_value" size="3">
+                  <br>
                 </td>
               </tr>
               <tr>
-                <td>Gene label position:</td>
-                <td>
-                  <div class="col-md-8">
-                    <select id="gene_text_pos" style="margin-bottom: 10px; margin-left: 0px"
-                      class="form-control input-xs">
-                      <option value='above'>Above</option>
-                      <option value='inside'>Inside</option>
-                    </select>
-                  </div>
+                <td class="col-md-2">Color: </td>
+                <td class="col-md-10">
+                  <div id="batch_colorpicker" class="colorpicker" color="#FFFFFF"
+                    style="margin-right: 5px; background-color: #FFFFFF; float: none; "></div>
                 </td>
               </tr>
               <tr>
-                <td>Gene label angle:</td>
-                <td><input type="text" class="form-control input-sm" id="gene_text_angle" value="0"
-                    style="margin-bottom: 10px"></td>
+                <td class="col-md-2"></td>
+                <td class="col-md-10"><input id="batch_randomcolor" type="checkbox"> Assign random color</td>
               </tr>
               <tr>
-                <td><button onclick="showAllHiddenGenes()">Show all hidden genes</button></td>
+                <td class="col-md-2"></td>
+                <td class="col-md-10"><button type="button" class="btn btn-default"
+                    onclick="batchColor();">Apply</button></td>
               </tr>
             </tbody>
           </table>
-          <span style="margin-bottom:600px"></span>
         </div>
 
-        <div class="btn-group sidebar-footer" role="group"
-          style="margin-top: 5px; padding-right: 20px; padding-bottom: 5px;">
-          <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 45px"
-            onclick="showLoadStateWindow();" data-help="load-state-button" data-original-title="" title=""><span
-              class="glyphicon glyphicon-floppy-open" aria-hidden="true"></span> Load State</button>
-          <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 45px"
-            onclick="showSaveStateWindow();" data-help="save-state-button" disabled-in-read-only="true"
-            data-original-title="" title=""><span class="glyphicon glyphicon-floppy-save" aria-hidden="true"></span>
-            Save State</button>
+        <div id="table_function_colors_container" style="margin-top: 20px; color:black">
+          <table id="table_function_colors">
+            <thead id="thead_function_colors">
+              <td></td>
+              <td data-help="function-color">
+                <div style="width: 32px;"><b>Color</b></div>
+              </td>
+              <td data-help="function-category"><b>Annotation</b></td>
+            </thead>
+            <tbody id="tbody_function_colors"></tbody>
+          </table>
         </div>
-      </div>
+        <button type="button" class="btn btn-primary btn-xs" onclick="resetFunctionColors()"
+          class="btn btn-outline-primary">Reset Function colors</button>
 
-    </div>
-
-    <div id="toggle-panel-query" onclick="toggleRightPanel('#query-panel')">
-      <span id="toggle-panel-query-inner">&#9664;</span><span
-        style="display: block; font-size: 11px; transform: rotate(90deg);"><u>Q</u>UERY</span>
-    </div>
-    <div id="query-panel">
-      <span class="settings-header">Search!</span>
-        <table style="margin-bottom: 20px;">
+        <span class="settings-header">Gene links</span>
+        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
+          <label id="link_style_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="link_style"
+            data-original-title="" title="">Link style:</label>
+          <div class="col-md-8">
+            <select id="link_style" style="margin-bottom: 10px" class="form-control input-xs">
+              <option value=1>Straight</option>
+              <option value=2>Curved</option>
+              <option value=3>Line</option>
+              <option value=4>None</option>
+            </select>
+          </div>
+        </div>
+        <select id="shade_by" style="margin-bottom: 10px" class="form-control input-xs">
+          <option value=1>Gene Cluster</option>
+          <option value=2>COG Category</option>
+          <option value=3>KEGG Category</option>
+          <option value=4>Custom</option>
+        </select>
+        <p>TODO: Color table for shades (with opacity option too?)</p>
+
+        <span class="settings-header">Labels</span>
+        <table id="labels-table" style="margin-bottom: 120px;">
           <tbody>
+            <tr id="show_genome_labels">
+              <td>Show genome labels</td>
+              <td style="float: right">
+                <div style="width: 20px;"><input id="show_genome_labels_box" type="checkbox" class="layer_selectors">
+                </div>
+              </td>
+            </tr>
+            <tr>
+              <td>Genome label size:</td>
+              <td><input type="text" class="form-control input-sm" id="genome_label" value="15"
+                  style="margin-bottom: 10px"></td>
+            </tr>
             <tr>
-              <td>Category: </td>
+              <td>Genome label color:</td>
               <td>
-                <select class="type_multiple" id='function_search_category' style="width: 100px;" class="type">
-                </select>
+                <div class="colorpicker" id="genome_label_color" color="#000000"
+                  style="background-color: #000000; margin-bottom: 10px"></div>
               </td>
             </tr>
-            <tr>
-              <td>Function Name:</td>
-              <td><input type="text" class="form-control input-sm" id="function_search_query" placeholder="IE 'borp'">
+            <tr id="show_gene_labels">
+              <td>Show gene labels:</td>
+              <td style="float: right">
+                <div style="width: 20px;"><input id="show_gene_labels_box" type="checkbox" class="layer_selectors">
+                </div>
+              </td>
+            </tr>
+            <tr id="link_gene_label_color_source">
+              <td>Link gene label/color source:</td>
+              <td style="float: right">
+                <div style="width: 20px;"><input id="link_gene_label_color_source_box" type="checkbox"
+                    class="layer_selectors"></div>
               </td>
             </tr>
             <tr>
+              <td>Gene label source:</td>
               <td>
-                <button onclick='drawer.queryFunctions()'>Let's Go!</button>
+                <div class="col-md-8">
+                  <select id="gene_label_source" style="margin-bottom: 10px; margin-left: 0px"
+                    class="form-control input-xs">
+                    <option value='default'>Default</option>
+                    <option value='user'>User-Defined</option>
+                  </select>
+                </div>
               </td>
-              <br>
+            </tr>
+            <tr>
+              <td>Gene label size:</td>
+              <td><input type="text" class="form-control input-sm" id="gene_label" value="40"
+                  style="margin-bottom: 10px"></td>
+            </tr>
+            <tr>
+              <td>Gene label color:</td>
               <td>
-                <p id='function-query-results-statement'></p>
+                <div class="colorpicker" id="gene_label_color" color="#000000"
+                  style="background-color: #000000; margin-bottom: 10px"></div>
               </td>
             </tr>
-          </tbody>
-        </table>
-        <span id="query-results-span"></span>
-        <table class="table table-striped" style="width: 100%; text-align: center;">
-          <thead>
-            <th>Gene ID</th>
-            <th>Genome</th>
-            <th>Start</th>
-            <th>Stop</th>
-            <th>Action</th>
-          </thead>
-          <tbody id="query-results-table">
-          </tbody>
-        </table>
-        <span class="settings-header">Bookmarks</span>
-        <table id="bookmarksTable" style="margin-bottom: 20px;">
-          <tbody>
-            <tr id="create_bookmark">
-              <td><input id="create_bookmark_input" class="form-control input-sm" type="text"
-                  placeholder="New bookmark title" style="margin-bottom: 15px;" size="4"></td>
-            <tr id="show_scale">
-              <td><textarea id="create_bookmark_description" class="form-control input-sm" type="text"
-                  placeholder="New bookmark description" style="margin-bottom: 15px; height: 85px;" size="8"></textarea>
+            <tr>
+              <td>Gene label position:</td>
+              <td>
+                <div class="col-md-8">
+                  <select id="gene_text_pos" style="margin-bottom: 10px; margin-left: 0px"
+                    class="form-control input-xs">
+                    <option value='above'>Above</option>
+                    <option value='inside'>Inside</option>
+                  </select>
+                </div>
               </td>
             </tr>
-            <tr id="show_scale">
-              <td style="float: right"><button onclick='createBookmark()'>New Bookmark from Current Position</button>
-              </td>
+            <tr>
+              <td>Gene label angle:</td>
+              <td><input type="text" class="form-control input-sm" id="gene_text_angle" value="0"
+                  style="margin-bottom: 10px"></td>
             </tr>
+            <tr>
+              <td><button onclick="showAllHiddenGenes()">Show all hidden genes</button></td>
             </tr>
           </tbody>
         </table>
-    </div>
+        <span style="margin-bottom:600px"></span>
+      </div>
 
-    <div id="toggle-panel-mouseover" onclick="toggleRightPanel('#mouseover-panel')">
-      <span id="toggle-panel-mouseover-inner">&#9664;</span><span
-        style="display: block; font-size: 11px; transform: rotate(90deg);"><u>M</u>OUSEOVER</span>
-    </div>
-    <div id="mouseover-panel">
-      <h2>Gene Call</h2>
-      <table class="table table-striped" style="width: 100%; text-align: center;">
-        <thead>
-          <th>ID</th>
-          <th>Source</th>
-          <th>Length</th>
-          <th>Direction</th>
-          <th>Start</th>
-          <th>Stop</th>
-          <th>Call type</th>
-        </thead>
-        <tbody id='mouseover-panel-table-body'>
-        </tbody>
-      </table>
-      <h2>Annotations</h2>
-      <table class="table table-striped" style="width: 100%; text-align: center;">
-        <thead>
-          <th>Source</th>
-          <th>Accession</th>
-          <th>Annotation</th>
-        </thead>
-        <tbody id="mouseover-panel-annotations-table-body">
-        </tbody>
-      </table>
+      <div class="btn-group sidebar-footer" role="group"
+        style="margin-top: 5px; padding-right: 20px; padding-bottom: 5px;">
+        <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 45px"
+          onclick="showLoadStateWindow();" data-help="load-state-button" data-original-title="" title=""><span
+            class="glyphicon glyphicon-floppy-open" aria-hidden="true"></span> Load State</button>
+        <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 45px"
+          onclick="showSaveStateWindow();" data-help="save-state-button" disabled-in-read-only="true"
+          data-original-title="" title=""><span class="glyphicon glyphicon-floppy-save" aria-hidden="true"></span>
+          Save State</button>
+      </div>
     </div>
-    <!-- LOAD STATE -->
-    <div class="modal fade" id="modLoadState" style="display: none">
-      <div class="modal-dialog">
-        <div class="modal-content">
-          <div class="modal-header">
-            <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
-            <h4 class="modal-title">Load State</h4>
-          </div>
 
-          <div class="modal-body">
-            <select class="form-control" size="10" id="loadState_list" ondblclick="loadState();"
-              onchange="$('#loadState_lastmodified').html('Last modified: ' + $('#loadState_list option:selected').attr('lastmodified')); "></select>
-            <br />
-            <div id="loadState_lastmodified">Last modified: n/a</div>
-          </div>
+  </div>
 
-          <div class="modal-footer">
-            <button type="button" class="btn btn-primary" onclick="loadState();">Load</button>
-            <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
-          </div>
+  <div id="toggle-panel-query" onclick="toggleRightPanel('#query-panel')">
+    <span id="toggle-panel-query-inner">&#9664;</span><span
+      style="display: block; font-size: 11px; transform: rotate(90deg);"><u>Q</u>UERY</span>
+  </div>
+  <div id="query-panel">
+    <span class="settings-header">Search!</span>
+    <table style="margin-bottom: 20px;">
+      <tbody>
+        <tr>
+          <td>Category: </td>
+          <td>
+            <select class="type_multiple" id='function_search_category' style="width: 100px;" class="type">
+            </select>
+          </td>
+        </tr>
+        <tr>
+          <td>Function Name:</td>
+          <td><input type="text" class="form-control input-sm" id="function_search_query" placeholder="IE 'borp'">
+          </td>
+        </tr>
+        <tr>
+          <td>
+            <button onclick='drawer.queryFunctions()'>Let's Go!</button>
+          </td>
+          <br>
+          <td>
+            <p id='function-query-results-statement'></p>
+          </td>
+        </tr>
+      </tbody>
+    </table>
+    <span id="query-results-span"></span>
+    <table class="table table-striped" style="width: 100%; text-align: center;">
+      <thead>
+        <th>Gene ID</th>
+        <th>Genome</th>
+        <th>Start</th>
+        <th>Stop</th>
+        <th>Action</th>
+      </thead>
+      <tbody id="query-results-table">
+      </tbody>
+    </table>
+    <span class="settings-header">Bookmarks</span>
+    <table id="bookmarksTable" style="margin-bottom: 20px;">
+      <tbody>
+        <tr id="create_bookmark">
+          <td><input id="create_bookmark_input" class="form-control input-sm" type="text"
+              placeholder="New bookmark title" style="margin-bottom: 15px;" size="4"></td>
+        <tr id="show_scale">
+          <td><textarea id="create_bookmark_description" class="form-control input-sm" type="text"
+              placeholder="New bookmark description" style="margin-bottom: 15px; height: 85px;" size="8"></textarea>
+          </td>
+        </tr>
+        <tr id="show_scale">
+          <td style="float: right"><button onclick='createBookmark()'>New Bookmark from Current Position</button>
+          </td>
+        </tr>
+        </tr>
+      </tbody>
+    </table>
+  </div>
+
+  <div id="toggle-panel-mouseover" onclick="toggleRightPanel('#mouseover-panel')">
+    <span id="toggle-panel-mouseover-inner">&#9664;</span><span
+      style="display: block; font-size: 11px; transform: rotate(90deg);"><u>M</u>OUSEOVER</span>
+  </div>
+  <div id="mouseover-panel">
+    <h2>Gene Call</h2>
+    <table class="table table-striped" style="width: 100%; text-align: center;">
+      <thead>
+        <th>ID</th>
+        <th>Source</th>
+        <th>Length</th>
+        <th>Direction</th>
+        <th>Start</th>
+        <th>Stop</th>
+        <th>Call type</th>
+      </thead>
+      <tbody id='mouseover-panel-table-body'>
+      </tbody>
+    </table>
+    <h2>Annotations</h2>
+    <table class="table table-striped" style="width: 100%; text-align: center;">
+      <thead>
+        <th>Source</th>
+        <th>Accession</th>
+        <th>Annotation</th>
+      </thead>
+      <tbody id="mouseover-panel-annotations-table-body">
+      </tbody>
+    </table>
+  </div>
+  <!-- LOAD STATE -->
+  <div class="modal fade" id="modLoadState" style="display: none">
+    <div class="modal-dialog">
+      <div class="modal-content">
+        <div class="modal-header">
+          <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
+          <h4 class="modal-title">Load State</h4>
+        </div>
+
+        <div class="modal-body">
+          <select class="form-control" size="10" id="loadState_list" ondblclick="loadState();"
+            onchange="$('#loadState_lastmodified').html('Last modified: ' + $('#loadState_list option:selected').attr('lastmodified')); "></select>
+          <br />
+          <div id="loadState_lastmodified">Last modified: n/a</div>
+        </div>
+
+        <div class="modal-footer">
+          <button type="button" class="btn btn-primary" onclick="loadState();">Load</button>
+          <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
         </div>
       </div>
     </div>
+  </div>
 
-    <!-- SAVE STATE -->
-    <div class="modal fade" id="modSaveState" style="display: none">
-      <div class="modal-dialog">
-        <div class="modal-content">
-          <div class="modal-header">
-            <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
-            <h4 class="modal-title">Save State</h4>
-          </div>
+  <!-- SAVE STATE -->
+  <div class="modal fade" id="modSaveState" style="display: none">
+    <div class="modal-dialog">
+      <div class="modal-content">
+        <div class="modal-header">
+          <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
+          <h4 class="modal-title">Save State</h4>
+        </div>
 
-          <div class="modal-body">
-            <div class="form-group">
-              <select class="form-control" id="saveState_list" size="10"
-                onchange="$('#saveState_name').val(this.value);" ondblclick="saveState();"></select>
-            </div>
-            <div class="form-group">
-              <label class="col-md-2 settings-label label-big" for="saveState_name">Name: </label>
-              <div class="col-md-10">
-                <input type="text" id="saveState_name" class="form-control" />
-              </div>
+        <div class="modal-body">
+          <div class="form-group">
+            <select class="form-control" id="saveState_list" size="10" onchange="$('#saveState_name').val(this.value);"
+              ondblclick="saveState();"></select>
+          </div>
+          <div class="form-group">
+            <label class="col-md-2 settings-label label-big" for="saveState_name">Name: </label>
+            <div class="col-md-10">
+              <input type="text" id="saveState_name" class="form-control" />
             </div>
           </div>
+        </div>
 
-          <div class="modal-footer">
-            <button type="button" class="btn btn-primary" onclick="saveState();">Save</button>
-            <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
-          </div>
+        <div class="modal-footer">
+          <button type="button" class="btn btn-primary" onclick="saveState();">Save</button>
+          <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
         </div>
       </div>
     </div>
+  </div>
 </body>
 
 </html>
\ No newline at end of file

From 16fd211aa1acb645e1505e0b092308be60d2d40d Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 22 Jul 2022 18:14:50 +0000
Subject: [PATCH 0741/1020] mouse > mouseover

---
 anvio/data/interactive/genomeview.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index b672a7b9c7..59c7890b41 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -565,7 +565,7 @@ <h4 class="modal-title">Lasso</h4>
 
   <div id="toggle-panel-mouseover" onclick="toggleRightPanel('#mouseover-panel')">
     <span id="toggle-panel-mouseover-inner">&#9664;</span><span
-      style="display: block; font-size: 11px; transform: rotate(90deg);"><u>M</u>OUSEOVER</span>
+      style="display: block; font-size: 11px; transform: rotate(90deg);"><u>M</u>OUSE</span>
   </div>
   <div id="mouseover-panel">
     <h2>Gene Call</h2>

From 66fe867edd9b63834ad11b77923c45831ab71832 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 22 Jul 2022 18:16:24 +0000
Subject: [PATCH 0742/1020] more

---
 anvio/data/interactive/genomeview.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 59c7890b41..e474342e73 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -402,7 +402,7 @@ <h4 class="modal-title">Lasso</h4>
         <p>TODO: Color table for shades (with opacity option too?)</p>
 
         <span class="settings-header">Labels</span>
-        <table id="labels-table" style="margin-bottom: 120px;">
+        <table id="labels-table" style="margin-bottom: 180px;">
           <tbody>
             <tr id="show_genome_labels">
               <td>Show genome labels</td>

From de09d056e8bbcb58b6ae2b20ec68698d34ddcb08 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 22 Jul 2022 19:09:36 +0000
Subject: [PATCH 0743/1020] tabular modal color pickers in

---
 anvio/data/interactive/js/genomeview/ui.js | 30 ++++++++++++----------
 1 file changed, 17 insertions(+), 13 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 0061d9d7f2..e0dbdbf292 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -739,7 +739,10 @@ function showTabularModal(){
           `
         })
       }
-
+      let geneHex
+      if(settings['display']['colors']['genes']?.[genome[0]]?.[gene['geneID']]){
+        geneHex = settings['display']['colors']['genes']?.[genome[0]]?.[gene['geneID']]
+      }
       totalTableString += `
       <tr id='${genome[0]}-table-row-${gene['geneID']}'>
         <td><input class="form-check-input" id="${genome[0]}-${gene['geneID']}" value="${genome[0]}-${gene['geneID']}" type='checkbox'></input></td>
@@ -749,7 +752,7 @@ function showTabularModal(){
         <td>${gene['gene']['direction']}</td>
         <td>${gene['gene']['contig']}</td>
         <td><button class="btn btn-default btn-sm" id="${genome[0]}-${gene['geneID']}" onclick=transitionTabularModalToDeepdive(event)>Deep Dive</button></td>
-        <td><div id="picker-tabular-modal" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div></td>
+        <td><div id="${gene['geneID']}-${genome[0]}-picker-tabular-modal" class="colorpicker" color="${geneHex ? geneHex : '#808080'}" background-color="${geneHex ? geneHex : '#808080'}" style="background-color: ${geneHex ? geneHex : '#808080'}; margin-right:16px; margin-left:16px"></div></td>
         <td><input class="form-hidden-check-input"
                    id="${genome[0]}-${gene['geneID']}-hidden" value="${genome[0]}-${gene['geneID']}"
                    onclick='handleGeneShowHideToggle(this)'
@@ -769,20 +772,22 @@ function showTabularModal(){
         $(el).attr('color', '#' + hex);
         if (!bySetColor) $(el).val(hex);
 
-        // if(!settings['display']['colors']['genes'][selected_genes[0].genomeID])
-        //   settings['display']['colors']['genes'][selected_genes[0].genomeID] = {};
-        // selected_genes.forEach(gene => {
-        //   gene.fill = '#' + hex;
-        //   gene.dirty = true;
-        //   settings['display']['colors']['genes'][selected_genes[0].genomeID][gene.geneID] = '#' + hex;
-        // });
+        let [geneID, genomeID] = [el.id.split('-')[0], el.id.split('-')[1]]
+
+        if(settings['display']['colors']['genes']?.[genomeID]?.[geneID]){
+          settings['display']['colors']['genes'][genomeID][geneID] = '#' + hex
+        } else {
+          settings['display']['colors']['genes'][genomeID] = {}
+          settings['display']['colors']['genes'][genomeID][geneID] = '#' + hex
+        }
+
+        let arrow = canvas.getObjects().filter(obj => obj.id == 'arrow').find(arrow => arrow.geneID == geneID && arrow.genomeID == genomeID)
+        arrow.fill = '#' + hex
+        arrow.dirty = true
         canvas.renderAll();
     }
   }).keyup(function() {
       $(this).colpickSetColor(this.value);
-      // selected_genes.forEach(gene => {
-      //   gene.fill = this.value;
-      // });
   });
 }
 
@@ -883,7 +888,6 @@ function prepTSVRow(arr, columnCount, initial) { // https://stackoverflow.com/qu
 function showLassoMenu(selected_genes, x, y) {
   //x = 600;
   //y = 200;
-  console.log('hi')
   let start, stop, length;
   let showSetLabel = false;
   if(selected_genes.every(obj => obj.genomeID == selected_genes[0].genomeID)) {

From 40d53d95c84110bcd4174784c92b0c13009fd094 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 22 Jul 2022 19:57:02 +0000
Subject: [PATCH 0744/1020] annotation sourcing fix

---
 anvio/data/interactive/js/genomeview/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 7becfe1e5f..ee6c1a9965 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -168,7 +168,7 @@ function calcXBounds() {
  *  @returns array of functional annotation types from table in `genomeData`
  */
 function getFunctionalAnnotations() {
-  return Object.keys(genomeData.genomes[0][1].genes.functions[0]);
+  return Object.keys(genomeData?.genomes?.[0]?.[1]?.genes?.functions[0]);
 }
 
 /*

From ece4928182e9cfdcb7a79a726c7ca3b9757c6843 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 22 Jul 2022 19:58:13 +0000
Subject: [PATCH 0745/1020] fix for fix

---
 anvio/data/interactive/js/genomeview/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index ee6c1a9965..dfb45c9171 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -168,7 +168,7 @@ function calcXBounds() {
  *  @returns array of functional annotation types from table in `genomeData`
  */
 function getFunctionalAnnotations() {
-  return Object.keys(genomeData?.genomes?.[0]?.[1]?.genes?.functions[0]);
+  return Object?.keys(genomeData?.genomes?.[0]?.[1]?.genes?.functions[0]);
 }
 
 /*

From 87d4a49458fafa436737bd6e74319d2a285f3374 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Fri, 22 Jul 2022 19:59:18 +0000
Subject: [PATCH 0746/1020] remove chaining

---
 anvio/data/interactive/js/genomeview/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index dfb45c9171..7becfe1e5f 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -168,7 +168,7 @@ function calcXBounds() {
  *  @returns array of functional annotation types from table in `genomeData`
  */
 function getFunctionalAnnotations() {
-  return Object?.keys(genomeData?.genomes?.[0]?.[1]?.genes?.functions[0]);
+  return Object.keys(genomeData.genomes[0][1].genes.functions[0]);
 }
 
 /*

From ae854e660bfd77cfbb509011b2fe192cde33cad2 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 24 Jul 2022 13:20:53 -0700
Subject: [PATCH 0747/1020] make indefinite gene glow static; add black border

---
 anvio/data/interactive/genomeview.html        |  3 ++-
 .../data/interactive/js/genomeview/drawer.js  | 26 ++++++++-----------
 .../interactive/js/genomeview/navigation.js   |  2 +-
 anvio/data/interactive/js/genomeview/ui.js    |  4 +--
 4 files changed, 16 insertions(+), 19 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index e474342e73..54646f937b 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -523,6 +523,7 @@ <h4 class="modal-title">Lasso</h4>
         <tr>
           <td>
             <button onclick='drawer.queryFunctions()'>Let's Go!</button>
+            <button onclick='drawer.removeAllGeneGlows()'>Clear All Gene Glows</button>
           </td>
           <br>
           <td>
@@ -648,4 +649,4 @@ <h4 class="modal-title">Save State</h4>
   </div>
 </body>
 
-</html>
\ No newline at end of file
+</html>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 993f348ffd..fe2be70196 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -603,18 +603,13 @@ GenomeDrawer.prototype.glowGenes = function (geneParams, indefinite=false, timeI
   var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow' && geneParams.some(g => g.genomeID == obj.genomeID && g.geneID == obj.geneID));
 
   if(indefinite) {
-    settings['display']['glowAnimationID'] = setInterval(function () {
-      for(arrow of arrows) {
-        arrow.set('shadow', shadow);
-        arrow.animate('shadow.blur', shadow.blur == 0 ? 30 : 0, {
-          duration: timeInterval,
-          onChange: canvas.renderAll.bind(canvas),
-          onComplete: function () { /*arrow.shadow = null*/ },
-          easing: fabric.util.ease['easeInOutCubic']
-        });
-      }
-      canvas.renderAll.bind(canvas)
-    }, timeInterval+100);
+    for(arrow of arrows) {
+      shadow.blur = 20;
+      arrow.set('stroke', 'black');
+      arrow.set('shadow', shadow);
+    }
+    canvas.renderAll();
+    return;
   }
 
   for (arrow of arrows) {
@@ -636,6 +631,7 @@ GenomeDrawer.prototype.removeAllGeneGlows = function () {
   clearInterval(settings['display']['glowAnimationID']);
   settings['display']['glowAnimationID'] = null;
   canvas.getObjects().filter(obj => obj.id == 'arrow' && obj.shadow).forEach(arrow => {
+    arrow.set('stroke', 'gray');
     delete arrow.shadow;
   });
   canvas.renderAll();
@@ -880,7 +876,7 @@ GenomeDrawer.prototype.queryFunctions = async function () {
 
   $('#function-query-results-statement').text(`Retreived ${glowPayload.length} hit(s) from ${Object.keys(foundInGenomes).length} genomes`)
   await zoomOutAndWait('partial', lowestStart, highestEnd, 350)
-  this.glowGenes(glowPayload)
+  this.glowGenes(glowPayload, true)
 }
 
 GenomeDrawer.prototype.queryMetadata = async function(metadataLabel){
@@ -924,11 +920,11 @@ GenomeDrawer.prototype.queryMetadata = async function(metadataLabel){
     highestEnd = genomeMax
   }
   await zoomOutAndWait('partial', lowestStart, highestEnd, 350)
-  this.glowGenes(glowPayload)
+  this.glowGenes(glowPayload, true)
 }
 
 GenomeDrawer.prototype.setInitialZoom = function(){
     let start = 0
     let stop = genomeMax > 35000 ? 35000 : genomeMax
     zoomOut('partial', start, stop)
-}
\ No newline at end of file
+}}
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 81b639b12b..35eb615246 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -230,7 +230,7 @@ function viewCluster(gc) {
     updateScalePos();
     updateRenderWindow();
     drawer.draw();
-    drawer.glowGenes(genes);
+    drawer.glowGenes(genes, true);
     return (first ? null : [firstGenomeID, geneMid]);
   } else {
     console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index e0dbdbf292..fba02ea661 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -800,7 +800,7 @@ function gatherTabularModalSelectedItems(action){
 
   switch (action) {
     case 'glow':
-      drawer.glowGenes(targetedGenes)
+      drawer.glowGenes(targetedGenes, true)
       $('#tabular-modal-body').fadeOut(1000).delay(3000).fadeIn(1000)
       break;
     case 'color':
@@ -1397,4 +1397,4 @@ function setGeneVisibilityRange(targetGene, targetGenome){
 function showAllHiddenGenes(){
   settings['display']['hidden'] = {}
   drawer.draw()
-}
\ No newline at end of file
+}}

From 2e8e470b7c1c63a384bc7e8b0ef6a4f3f19cede4 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 24 Jul 2022 13:24:46 -0700
Subject: [PATCH 0748/1020] cleanup

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 --
 1 file changed, 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index fe2be70196..f14ea8a515 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -628,8 +628,6 @@ GenomeDrawer.prototype.glowGenes = function (geneParams, indefinite=false, timeI
  *  Removes all active gene glow effects.
  */
 GenomeDrawer.prototype.removeAllGeneGlows = function () {
-  clearInterval(settings['display']['glowAnimationID']);
-  settings['display']['glowAnimationID'] = null;
   canvas.getObjects().filter(obj => obj.id == 'arrow' && obj.shadow).forEach(arrow => {
     arrow.set('stroke', 'gray');
     delete arrow.shadow;

From 31a4c8e0fe56f45977ca56707169e5942ae95c85 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 24 Jul 2022 13:28:19 -0700
Subject: [PATCH 0749/1020] fix

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 -
 anvio/data/interactive/js/genomeview/ui.js     | 1 -
 2 files changed, 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index f14ea8a515..0cd3198c0a 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -925,4 +925,3 @@ GenomeDrawer.prototype.setInitialZoom = function(){
     let start = 0
     let stop = genomeMax > 35000 ? 35000 : genomeMax
     zoomOut('partial', start, stop)
-}}
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index fba02ea661..c1ec3cf74e 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1397,4 +1397,3 @@ function setGeneVisibilityRange(targetGene, targetGenome){
 function showAllHiddenGenes(){
   settings['display']['hidden'] = {}
   drawer.draw()
-}}

From 609ae7cd6171955b1bf017c56a6ebcbe6d15970b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 24 Jul 2022 13:46:30 -0700
Subject: [PATCH 0750/1020] no indefinite gene glow for tabular modal

---
 anvio/data/interactive/js/genomeview/ui.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index c1ec3cf74e..9b01d42621 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -800,7 +800,6 @@ function gatherTabularModalSelectedItems(action){
 
   switch (action) {
     case 'glow':
-      drawer.glowGenes(targetedGenes, true)
       $('#tabular-modal-body').fadeOut(1000).delay(3000).fadeIn(1000)
       break;
     case 'color':

From de592b180f10b807c13cf128311d23202b3d035c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 24 Jul 2022 13:47:05 -0700
Subject: [PATCH 0751/1020] fix

---
 anvio/data/interactive/js/genomeview/ui.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 9b01d42621..eaa22c4d0a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -800,6 +800,7 @@ function gatherTabularModalSelectedItems(action){
 
   switch (action) {
     case 'glow':
+      drawer.glowGenes(targetedGenes)
       $('#tabular-modal-body').fadeOut(1000).delay(3000).fadeIn(1000)
       break;
     case 'color':

From a3fe79c7af269c3bc9dcce739b1651f5ef1b34c0 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 24 Jul 2022 14:17:31 -0700
Subject: [PATCH 0752/1020] add glow effect for "go to gene" buttons

---
 anvio/data/interactive/js/genomeview/drawer.js     | 5 +++--
 anvio/data/interactive/js/genomeview/navigation.js | 5 +++++
 2 files changed, 8 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 0cd3198c0a..de2708a813 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -841,6 +841,7 @@ GenomeDrawer.prototype.queryFunctions = async function () {
             <td>${start}</td>
             <td>${end}</td>
             <td><button onclick="zoomOut('partial', ${start}, ${end})">go to</button</td>
+            <td><button onclick="goToGene(${gene['genomeID']}[0]['id'],${gene['geneID']},${start},${end})">go to</button</td>
           </tr>
         `)
       })
@@ -861,7 +862,7 @@ GenomeDrawer.prototype.queryFunctions = async function () {
             <td>${gene['genomeID']}</td>
             <td>${start}</td>
             <td>${end}</td>
-            <td><button onclick="zoomOut('partial', ${start}, ${end})">go to</button</td>
+            <td><button onclick="goToGene(${gene['genomeID']}[0]['id'],${gene['geneID']},${start},${end})">go to</button</td>
           </tr>
         `)
       })
@@ -909,7 +910,7 @@ GenomeDrawer.prototype.queryMetadata = async function(metadataLabel){
           <td>${gene['genomeID']}</td>
           <td>${start}</td>
           <td>${end}</td>
-          <td><button onclick="zoomOut('partial', ${start}, ${end})">go to</button</td>
+          <td><button onclick="goToGene(${gene['genomeID']}[0]['id'],${gene['geneID']},${start},${end})">go to</button</td>
         </tr>
       `)
     })
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 35eb615246..9056041bbf 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -79,6 +79,11 @@
     });
   }
 
+  async function goToGene(genomeID, geneID, start, end) {
+    await zoomOutAndWait('partial', start, end, 500);
+    drawer.glowGenes([{genomeID: genomeID, geneID: geneID}]);
+  }
+
 /*
  *  Resets viewport if outside bounds of the view window, with padding on each end
  */

From 1dc1d1ff4f0d0944a243e66065ceedd345ed865f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 24 Jul 2022 14:19:47 -0700
Subject: [PATCH 0753/1020] fix!

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index de2708a813..df4d3511c2 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -840,7 +840,6 @@ GenomeDrawer.prototype.queryFunctions = async function () {
             <td>${gene['genomeID']}</td>
             <td>${start}</td>
             <td>${end}</td>
-            <td><button onclick="zoomOut('partial', ${start}, ${end})">go to</button</td>
             <td><button onclick="goToGene(${gene['genomeID']}[0]['id'],${gene['geneID']},${start},${end})">go to</button</td>
           </tr>
         `)

From fd405b22eef6d506d3bb610ccbb1aa6b74292cc7 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 25 Jul 2022 18:28:16 +0000
Subject: [PATCH 0754/1020] weird file truncate fix

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 +
 anvio/data/interactive/js/genomeview/ui.js     | 1 +
 2 files changed, 2 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index df4d3511c2..c07a7aee0b 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -925,3 +925,4 @@ GenomeDrawer.prototype.setInitialZoom = function(){
     let start = 0
     let stop = genomeMax > 35000 ? 35000 : genomeMax
     zoomOut('partial', start, stop)
+}
\ No newline at end of file
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index eaa22c4d0a..e0dbdbf292 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1397,3 +1397,4 @@ function setGeneVisibilityRange(targetGene, targetGenome){
 function showAllHiddenGenes(){
   settings['display']['hidden'] = {}
   drawer.draw()
+}
\ No newline at end of file

From ba57d5cf16d480ff6950344e48d80f83f56cf56c Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 25 Jul 2022 18:50:43 +0000
Subject: [PATCH 0755/1020] remove UI columns from TSV export

---
 anvio/data/interactive/js/genomeview/ui.js | 22 ++++++++++++++--------
 1 file changed, 14 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index e0dbdbf292..2af104fa47 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -708,15 +708,15 @@ function showTabularModal(){
         <table id="${genome}-table"class="table table-striped" style="width: 100%; text-align: left; font-size: 12px; background: white">
           <thead id='tabular-modal-table-head'>
             <tr id='${genome}-tabular-modal-table-header-tr'>
-              <th><input class="form-check-input" type='checkbox'></input> Select</th>
+              <th id="${genome}-select"><input class="form-check-input" type='checkbox'></input>Select</th>
               <th>Gene Caller ID</th>
               <th>Start</th>
               <th>Stop</th>
               <th>Direction</th>
               <th>Contig</th>
-              <th>Deepdive</th>
-              <th>Color</th>
-              <th>Hidden?</th>
+              <th id="${genome}-deepdive">Deepdive</th>
+              <th id="${genome}-color">Color</th>
+              <th id="${genome}-hidden">Hidden?</th>
             </tr>
           </thead>
           <tbody id="${genome}-table-body">
@@ -745,15 +745,15 @@ function showTabularModal(){
       }
       totalTableString += `
       <tr id='${genome[0]}-table-row-${gene['geneID']}'>
-        <td><input class="form-check-input" id="${genome[0]}-${gene['geneID']}" value="${genome[0]}-${gene['geneID']}" type='checkbox'></input></td>
+        <td class='select'><input class="form-check-input" id="${genome[0]}-${gene['geneID']}" value="${genome[0]}-${gene['geneID']}" type='checkbox'></input></td>
         <td>${gene['geneID']}</td>
         <td>${gene['gene']['start']}</td>
         <td>${gene['gene']['stop']}</td>
         <td>${gene['gene']['direction']}</td>
         <td>${gene['gene']['contig']}</td>
-        <td><button class="btn btn-default btn-sm" id="${genome[0]}-${gene['geneID']}" onclick=transitionTabularModalToDeepdive(event)>Deep Dive</button></td>
-        <td><div id="${gene['geneID']}-${genome[0]}-picker-tabular-modal" class="colorpicker" color="${geneHex ? geneHex : '#808080'}" background-color="${geneHex ? geneHex : '#808080'}" style="background-color: ${geneHex ? geneHex : '#808080'}; margin-right:16px; margin-left:16px"></div></td>
-        <td><input class="form-hidden-check-input"
+        <td class='deepdive'><button class="btn btn-default btn-sm" id="${genome[0]}-${gene['geneID']}" onclick=transitionTabularModalToDeepdive(event)>Deep Dive</button></td>
+        <td class='color'><div id="${gene['geneID']}-${genome[0]}-picker-tabular-modal" class="colorpicker" color="${geneHex ? geneHex : '#808080'}" background-color="${geneHex ? geneHex : '#808080'}" style="background-color: ${geneHex ? geneHex : '#808080'}; margin-right:16px; margin-left:16px"></div></td>
+        <td class='hidden?'><input class="form-hidden-check-input"
                    id="${genome[0]}-${gene['geneID']}-hidden" value="${genome[0]}-${gene['geneID']}"
                    onclick='handleGeneShowHideToggle(this)'
                    type='checkbox' ${settings['display']['hidden']?.[genome[0]]?.[gene['geneID']] ? 'checked' : null}>
@@ -833,10 +833,16 @@ function exportTabularModalToTSV(){
   let active = $("div#modal-tab-content div.active")[0].id
 
   $(`#${active} th`).each(function() {
+    if(['Select', 'Color', 'Hidden?', 'Deepdive'].includes($(this).text())){
+      return
+    }
     titles.push($(this).text());
   });
 
   $(`#${active} td`).each(function() {
+    if(['select', 'color', 'hidden?', 'deepdive'].includes($(this).attr('class'))){
+      return
+    }
     data.push($(this).text());
   });
 

From 0d439cd6e877efb907d80446cb0576693d63a683 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Mon, 25 Jul 2022 21:08:10 +0000
Subject: [PATCH 0756/1020] case agnostic metadata query

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index c07a7aee0b..1a887c5734 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -881,7 +881,7 @@ GenomeDrawer.prototype.queryMetadata = async function(metadataLabel){
   $('#query-results-table').empty()
   let glowPayload = Array()
   let foundInGenomes = Object()
-  let matches = settings['display']['metadata'].filter( m => m.label.includes(metadataLabel))
+  let matches = settings['display']['metadata'].filter( m => m.label.toLowerCase().includes(metadataLabel.toLowerCase()))
   matches.map(metadata => {
     glowPayload.push({
       geneID: metadata.gene,

From 80cf789cf95c2b80460bf74558044095a32f4bfe Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 25 Jul 2022 19:00:57 -0700
Subject: [PATCH 0757/1020] fix group background opacity bug

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index df4d3511c2..92b75e5538 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -81,6 +81,7 @@ GenomeDrawer.prototype.addLayers = function (orderIndex) {
     }
   })
 
+  canvas.remove(canvas.getObjects().find(obj => obj.id == 'groupBorder' + orderIndex));
   this.addGroupBorder(yOffset, orderIndex)
 }
 
@@ -95,6 +96,7 @@ GenomeDrawer.prototype.addGroupBorder = function (yOffset, orderIndex) {
   let height = spacing + 60
 
   let rect = new fabric.Rect({
+    id: 'groupBorder' + orderIndex,
     top: top,
     left: left,
     width: width,

From dcbfb19f69d761671ae3e283a9feaa76ab6b7119 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 29 Sep 2022 14:48:36 -0500
Subject: [PATCH 0758/1020] undo last commit

---
 .../daily-component-tests-and-migrations.yaml |    46 +
 .gitignore                                    |     1 +
 .../anvio-main/Dockerfile                     |    62 +-
 Dockerfiles/anvio-structure/Dockerfile        |   106 +
 README.md                                     |     8 +-
 anvio/__init__.py                             |   313 +-
 anvio/argparse.py                             |    25 +-
 anvio/auxiliarydataops.py                     |    36 +-
 anvio/bamops.py                               |   546 +-
 anvio/bottleroutes.py                         |    13 +-
 anvio/clustering.py                           |     4 +-
 anvio/cogs.py                                 |     3 -
 anvio/constants.py                            |    32 +
 anvio/data/interactive/index.html             |     2 +-
 anvio/data/interactive/js/constants.js        |     7 +
 anvio/data/interactive/js/context-menu.js     |    46 +
 anvio/data/interactive/js/main.js             |   166 +-
 anvio/data/misc/AUTHORS/AUTHORS.yaml          |    52 +-
 anvio/data/misc/KEGG-SNAPSHOTS.yaml           |    20 +-
 anvio/data/misc/PEOPLE/AVATARS/bio-dutter.jpg |   Bin 0 -> 237311 bytes
 .../data/misc/PEOPLE/AVATARS/bio-morrison.jpg |   Bin 0 -> 99193 bytes
 anvio/data/misc/PEOPLE/AVATARS/youngblut.jpg  |   Bin 0 -> 492709 bytes
 anvio/data/misc/PEOPLE/CONTRIBUTORS.yaml      |    26 +
 anvio/data/misc/PEOPLE/README.md              |     6 +-
 anvio/db.py                                   |     2 +-
 anvio/dbinfo.py                               |    12 +-
 anvio/dbops.py                                |    54 +-
 anvio/docs/__init__.py                        |    62 +-
 anvio/docs/artifacts/bams-and-profiles-txt.md |    30 +
 anvio/docs/artifacts/contigs-db.md            |     4 +
 .../docs/artifacts/enzymes-list-for-module.md |    13 +
 anvio/docs/artifacts/external-genomes.md      |    13 +-
 .../artifacts/functions-across-genomes-txt.md |    59 +
 ...-txt.md => hmm-hits-across-genomes-txt.md} |     0
 anvio/docs/artifacts/internal-genomes.md      |     6 +-
 anvio/docs/artifacts/kegg-data.md             |    29 +-
 anvio/docs/artifacts/kegg-metabolism.md       |   159 +-
 anvio/docs/artifacts/modules-db.md            |    49 +-
 anvio/docs/artifacts/profile-db.md            |    20 +-
 anvio/docs/artifacts/samples-txt.md           |     6 +
 anvio/docs/artifacts/short-reads-fasta.md     |    11 +-
 anvio/docs/artifacts/single-profile-db.md     |     1 +
 anvio/docs/artifacts/user-modules-data.md     |   151 +
 .../docs/artifacts/variability-profile-xml.md |    62 +
 anvio/docs/images/png/contigs-profile-db.png  |   Bin 0 -> 308279 bytes
 anvio/docs/images/png/icons/ALL-ICONS.svg     | 10212 ----------------
 anvio/docs/images/png/icons/ALL-ICONS.svg.gz  |   Bin 0 -> 85463 bytes
 anvio/docs/images/png/icons/XML.png           |   Bin 0 -> 25488 bytes
 ...vi-compute-functional-enrichment-in-pan.md |     2 -
 .../anvi-compute-metabolic-enrichment.md      |     9 +
 anvio/docs/programs/anvi-delete-collection.md |    13 +-
 .../docs/programs/anvi-dereplicate-genomes.md |    39 +-
 anvio/docs/programs/anvi-display-functions.md |     3 +
 .../docs/programs/anvi-estimate-metabolism.md |   470 +-
 .../programs/anvi-estimate-scg-taxonomy.md    |    72 +-
 .../programs/anvi-gen-variability-network.md  |    90 +
 .../anvi-get-sequences-for-gene-clusters.md   |   127 +-
 .../programs/anvi-get-short-reads-from-bam.md |    78 +-
 .../anvi-get-short-reads-mapping-to-a-gene.md |     2 +-
 anvio/docs/programs/anvi-import-misc-data.md  |    67 +-
 anvio/docs/programs/anvi-interactive.md       |    10 +-
 anvio/docs/programs/anvi-migrate.md           |    22 +-
 anvio/docs/programs/anvi-pan-genome.md        |    69 +-
 anvio/docs/programs/anvi-profile.md           |    18 +-
 anvio/docs/programs/anvi-rename-bins.md       |    56 +-
 anvio/docs/programs/anvi-report-inversions.md |   165 +
 anvio/docs/programs/anvi-run-kegg-kofams.md   |    65 +-
 anvio/docs/programs/anvi-run-ncbi-cogs.md     |    15 +-
 .../anvi-script-add-default-collection.md     |    23 +-
 .../anvi-script-filter-hmm-hits-table.md      |    27 +-
 ...ript-gen-function-matrix-across-genomes.md |    37 +
 ...ript-gen-hmm-hits-matrix-across-genomes.md |    13 +-
 .../anvi-script-gen-user-module-file.md       |    65 +
 ...ript-gen_stats_for_single_copy_genes.py.md |    17 +-
 .../anvi-script-get-primer-matches.md         |    26 -
 .../docs/programs/anvi-search-palindromes.md  |   249 +
 anvio/docs/programs/anvi-search-primers.md    |   114 +
 anvio/docs/programs/anvi-setup-kegg-kofams.md |    88 +-
 .../docs/programs/anvi-setup-user-modules.md  |    85 +
 anvio/drivers/blast.py                        |    31 +-
 anvio/drivers/diamond.py                      |    30 +-
 anvio/drivers/hmmer.py                        |     9 +-
 anvio/drivers/metabat2.py                     |     1 +
 anvio/drivers/vmatch.py                       |    31 +-
 anvio/filesnpaths.py                          |    67 +-
 anvio/genomedescriptions.py                   |    41 +
 anvio/genomesimilarity.py                     |    71 +-
 anvio/interactive.py                          |    10 +-
 anvio/inversions.py                           |  1428 +++
 anvio/kegg.py                                 |  4378 +++++--
 anvio/migrations/config/v1_to_v2.py           |     4 +
 anvio/migrations/config/v2_to_v3.py           |    72 +
 anvio/migrations/genes/v5_to_v6.py            |     8 +
 anvio/migrations/modules/v3_to_v4.py          |    82 +
 anvio/migrations/pan/v15_to_v16.py            |    60 +
 anvio/panops.py                               |    56 +-
 anvio/pfam.py                                 |    44 +-
 anvio/profiler.py                             |   220 +-
 anvio/sequence.py                             |    17 +-
 anvio/sequencefeatures.py                     |  1381 +++
 anvio/splitter.py                             |    23 +-
 anvio/structureops.py                         |     9 +-
 anvio/summarizer.py                           |     4 +-
 anvio/synteny.py                              |     6 +-
 anvio/tables/__init__.py                      |    38 +-
 anvio/tables/collections.py                   |    30 +
 anvio/tables/hmmhits.py                       |   127 +-
 anvio/tables/miscdata.py                      |    64 +-
 anvio/tables/tableops.py                      |    12 +-
 anvio/taxonomyops/__init__.py                 |     9 +-
 anvio/tests/run_all_tests.sh                  |   491 +-
 .../run_component_tests_for_inversions.sh     |    86 +
 .../run_component_tests_for_metabolism.sh     |   265 +-
 anvio/tests/run_gen_gene_level_stats_tests.sh |     3 +
 ...ation_tests_for_ancient_anvio_databases.sh |    66 +
 anvio/tests/run_pangenome_tests.sh            |   154 +-
 anvio/tests/run_trnaseq_tests.sh              |     2 +
 .../groups_with_missing_sample.txt            |     3 +
 .../01_FASTQ/S01-R1.fastq.gz                  |   Bin 0 -> 63064 bytes
 .../01_FASTQ/S01-R2.fastq.gz                  |   Bin 0 -> 63499 bytes
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 .../01_FASTQ/S03-R1.fastq.gz                  |   Bin 0 -> 34571 bytes
 .../01_FASTQ/S03-R2.fastq.gz                  |   Bin 0 -> 35271 bytes
 .../02_CONTIGS/CONTIGS.db                     |   Bin 0 -> 180224 bytes
 .../03_MAPPING/S01.bam                        |   Bin 0 -> 182171 bytes
 .../03_MAPPING/S01.bam.bai                    |   Bin 0 -> 176 bytes
 .../03_MAPPING/S02.bam                        |   Bin 0 -> 192506 bytes
 .../03_MAPPING/S02.bam.bai                    |   Bin 0 -> 176 bytes
 .../03_MAPPING/S03.bam                        |   Bin 0 -> 95473 bytes
 .../03_MAPPING/S03.bam.bai                    |   Bin 0 -> 176 bytes
 .../bams-and-profiles.txt                     |     4 +
 .../sandbox/mock_data_for_pangenomics/01.fa   |  2000 ---
 .../sandbox/mock_data_for_pangenomics/02.fa   |  2000 ---
 .../sandbox/mock_data_for_pangenomics/03.fa   |  2000 ---
 .../E_faecalis_6240.db                        |   Bin 0 -> 548864 bytes
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 .../E_faecalis_6563.db                        |   Bin 0 -> 548864 bytes
 .../default-state.json                        |   997 +-
 .../example-gene-clusters-collection.txt      |   261 +-
 .../external-genomes.txt                      |     8 +-
 .../functions/01-functions.txt                |   495 -
 .../functions/02-functions.txt                |   495 -
 .../functions/03-functions.txt                |   485 -
 .../functions/README.txt                      |    19 -
 .../group-information.txt                     |     8 +-
 .../pfam/README.pfam                          |    12 -
 .../pfam/aa_sequences_01.fa                   |   238 -
 .../pfam/aa_sequences_01.pfam                 |   246 -
 .../pfam/aa_sequences_02.fa                   |   238 -
 .../pfam/aa_sequences_02.pfam                 |   246 -
 .../pfam/aa_sequences_03.fa                   |   234 -
 .../pfam/aa_sequences_03.pfam                 |   244 -
 .../scg-gene-clusters-for-phylogenomics.txt   |    12 +
 anvio/tests/unit/test_palindrome.py           |   411 +
 anvio/trnaseq.py                              |  4868 +++++---
 anvio/utils.py                                |   421 +-
 anvio/variabilityops.py                       |   157 +-
 anvio/workflows/__init__.py                   |   140 +-
 anvio/workflows/contigs/Snakefile             |    10 +-
 anvio/workflows/contigs/__init__.py           |     2 +-
 anvio/workflows/ecophylo/Snakefile            |   152 +-
 anvio/workflows/ecophylo/__init__.py          |    51 +-
 .../{default_mode.smk => profile_mode.smk}    |    12 +-
 anvio/workflows/ecophylo/rules/tree_mode.smk  |     2 +-
 anvio/workflows/metagenomics/Snakefile        |     6 +-
 anvio/workflows/pangenomics/Snakefile         |     9 +-
 anvio/workflows/pangenomics/__init__.py       |     2 +-
 anvio/workflows/phylogenomics/Snakefile       |     8 +-
 anvio/workflows/trnaseq/Snakefile             |     2 +-
 bin/anvi-compute-gene-cluster-homogeneity     |     2 +-
 bin/anvi-compute-metabolic-enrichment         |    13 +-
 bin/anvi-estimate-metabolism                  |     2 +
 bin/anvi-export-locus                         |     1 -
 bin/anvi-export-table                         |   109 +-
 bin/anvi-gen-contigs-database                 |     3 +-
 bin/anvi-gen-variability-network              |    55 +-
 bin/anvi-get-sequences-for-gene-calls         |    31 +-
 bin/anvi-get-sequences-for-gene-clusters      |   178 +-
 bin/anvi-get-short-reads-from-bam             |    34 +-
 bin/anvi-import-collection                    |    16 +-
 bin/anvi-import-misc-data                     |    27 +-
 bin/anvi-matrix-to-newick                     |    17 +-
 bin/anvi-migrate                              |   250 +-
 bin/anvi-pan-genome                           |    95 +-
 bin/anvi-profile                              |     2 +-
 bin/anvi-rename-bins                          |   185 +-
 bin/anvi-report-inversions                    |   153 +
 bin/anvi-run-kegg-kofams                      |     3 +-
 bin/anvi-run-ncbi-cogs                        |     1 -
 bin/anvi-search-palindromes                   |    95 +
 bin/anvi-search-primers                       |    73 +
 bin/anvi-self-test                            |    23 +-
 bin/anvi-setup-kegg-kofams                    |    42 +-
 bin/anvi-summarize                            |     5 +-
 conda-recipe/anvio-minimal/meta.yaml          |    66 -
 conda-recipe/anvio/meta.yaml                  |    53 -
 requirements.txt                              |    10 +-
 sandbox/anvi-script-add-default-collection    |    40 +-
 sandbox/anvi-script-filter-hmm-hits-table     |   274 +-
 ...-script-gen-function-matrix-across-genomes |    97 +
 ...cript-gen-functions-per-group-stats-output |     1 -
 ...-script-gen-hmm-hits-matrix-across-genomes |     2 +-
 sandbox/anvi-script-gen-user-module-file      |   157 +
 ...-script-gen_stats_for_single_copy_genes.py |     9 +-
 sandbox/anvi-script-get-primer-matches        |   248 -
 sandbox/anvi-script-merge-collections         |     4 +-
 ...i-script-pfam-accessions-to-hmms-directory |     2 +-
 sandbox/anvi-script-reformat-fasta            |     2 +-
 211 files changed, 18487 insertions(+), 24432 deletions(-)
 create mode 100644 .github/workflows/daily-component-tests-and-migrations.yaml
 rename Dockerfile => Dockerfiles/anvio-main/Dockerfile (68%)
 create mode 100644 Dockerfiles/anvio-structure/Dockerfile
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/bio-dutter.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/bio-morrison.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/youngblut.jpg
 create mode 100644 anvio/docs/artifacts/bams-and-profiles-txt.md
 create mode 100644 anvio/docs/artifacts/enzymes-list-for-module.md
 create mode 100644 anvio/docs/artifacts/functions-across-genomes-txt.md
 rename anvio/docs/artifacts/{hmm-hits-matrix-txt.md => hmm-hits-across-genomes-txt.md} (100%)
 create mode 100644 anvio/docs/artifacts/user-modules-data.md
 create mode 100644 anvio/docs/artifacts/variability-profile-xml.md
 create mode 100644 anvio/docs/images/png/contigs-profile-db.png
 delete mode 100644 anvio/docs/images/png/icons/ALL-ICONS.svg
 create mode 100644 anvio/docs/images/png/icons/ALL-ICONS.svg.gz
 create mode 100644 anvio/docs/images/png/icons/XML.png
 create mode 100644 anvio/docs/programs/anvi-gen-variability-network.md
 create mode 100644 anvio/docs/programs/anvi-report-inversions.md
 create mode 100644 anvio/docs/programs/anvi-script-gen-function-matrix-across-genomes.md
 create mode 100644 anvio/docs/programs/anvi-script-gen-user-module-file.md
 delete mode 100644 anvio/docs/programs/anvi-script-get-primer-matches.md
 create mode 100644 anvio/docs/programs/anvi-search-palindromes.md
 create mode 100644 anvio/docs/programs/anvi-search-primers.md
 create mode 100644 anvio/docs/programs/anvi-setup-user-modules.md
 create mode 100644 anvio/inversions.py
 create mode 100644 anvio/migrations/config/v2_to_v3.py
 create mode 100644 anvio/migrations/modules/v3_to_v4.py
 create mode 100644 anvio/migrations/pan/v15_to_v16.py
 create mode 100755 anvio/sequencefeatures.py
 create mode 100755 anvio/tests/run_component_tests_for_inversions.sh
 create mode 100755 anvio/tests/run_migration_tests_for_ancient_anvio_databases.sh
 create mode 100644 anvio/tests/sandbox/data/input_files/groups_with_missing_sample.txt
 create mode 100644 anvio/tests/sandbox/mock_data_for_inversions/01_FASTQ/S01-R1.fastq.gz
 create mode 100644 anvio/tests/sandbox/mock_data_for_inversions/01_FASTQ/S01-R2.fastq.gz
 create mode 100644 anvio/tests/sandbox/mock_data_for_inversions/01_FASTQ/S02-R1.fastq.gz
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 create mode 100644 anvio/tests/sandbox/mock_data_for_inversions/02_CONTIGS/CONTIGS.db
 create mode 100644 anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S01.bam
 create mode 100644 anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S01.bam.bai
 create mode 100644 anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S02.bam
 create mode 100644 anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S02.bam.bai
 create mode 100644 anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S03.bam
 create mode 100644 anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S03.bam.bai
 create mode 100644 anvio/tests/sandbox/mock_data_for_inversions/bams-and-profiles.txt
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/01.fa
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/02.fa
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/03.fa
 create mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/E_faecalis_6240.db
 create mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/E_faecalis_6255.db
 create mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/E_faecalis_6512.db
 create mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/E_faecalis_6557.db
 create mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/E_faecalis_6563.db
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/functions/01-functions.txt
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/functions/02-functions.txt
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/functions/03-functions.txt
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/functions/README.txt
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/pfam/README.pfam
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_01.fa
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_01.pfam
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_02.fa
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_02.pfam
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_03.fa
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_03.pfam
 create mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/scg-gene-clusters-for-phylogenomics.txt
 create mode 100644 anvio/tests/unit/test_palindrome.py
 rename anvio/workflows/ecophylo/rules/{default_mode.smk => profile_mode.smk} (95%)
 create mode 100755 bin/anvi-report-inversions
 create mode 100755 bin/anvi-search-palindromes
 create mode 100755 bin/anvi-search-primers
 delete mode 100644 conda-recipe/anvio-minimal/meta.yaml
 delete mode 100644 conda-recipe/anvio/meta.yaml
 create mode 100755 sandbox/anvi-script-gen-function-matrix-across-genomes
 create mode 100755 sandbox/anvi-script-gen-user-module-file
 delete mode 100755 sandbox/anvi-script-get-primer-matches

diff --git a/.github/workflows/daily-component-tests-and-migrations.yaml b/.github/workflows/daily-component-tests-and-migrations.yaml
new file mode 100644
index 0000000000..dc34b48d0b
--- /dev/null
+++ b/.github/workflows/daily-component-tests-and-migrations.yaml
@@ -0,0 +1,46 @@
+name: Daily Component Tests and Migrations
+
+on:
+  schedule:
+    - cron: "0 9 * * *"
+
+jobs:
+  build:
+    name: Daily Component Tests and Migrations (Python ${{ matrix.python-version }})
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: [3.7]
+      fail-fast: false
+    steps:
+    - uses: conda-incubator/setup-miniconda@v2
+      with:
+        miniconda-version: 'latest'
+        auto-update-conda: true
+        python-version: ${{ matrix.python-version }}
+        channels: conda-forge,bioconda
+        activate-environment: anvio_env
+    - name: "Set up the conda environment"
+      shell: bash -l {0}
+      run: |
+        conda info -a
+        conda install -y mamba
+        mamba install -y python=${{ matrix.python-version }} sqlite prodigal idba mcl muscle=3.8.1551 hmmer diamond blast megahit spades bowtie2 tbb=2020.3 bwa graphviz "samtools >=1.9" trimal iqtree trnascan-se fasttree r-base r-tidyverse r-optparse r-stringi r-magrittr
+        Rscript -e 'install.packages("BiocManager", repos="https://cran.rstudio.com"); BiocManager::install("qvalue")'
+    - uses: actions/checkout@v2
+    - name: "Install anvi'o from the codebase"
+      shell: bash -l {0}
+      run: |
+        pip install .
+    - name: "Run component tests for general metagenomics tasks"
+      shell: bash -l {0}
+      run: |
+        anvi-self-test --suite metagenomics-full --no-interactive
+    - name: "Run component tests for metabolism framework"
+      shell: bash -l {0}
+      run: |
+        anvi-self-test --suite metabolism --no-interactive
+    - name: "Migrate ancient anvi'o databases"
+      shell: bash -l {0}
+      run: |
+        anvi-self-test --suite database-migrations
diff --git a/.gitignore b/.gitignore
index 0930a414eb..5d98eac271 100755
--- a/.gitignore
+++ b/.gitignore
@@ -28,3 +28,4 @@ anvio/data/misc/SCG_TAXONOMY/GTDB/SCG_SEARCH_DATABASES/*.dmnd
 
 anvio/tests/sandbox/test_visualize_split_coverages/TEST_OUTDIR
 anvio/data/misc/KEGG/
+anvio/data/misc/TRNA_TAXONOMY/
diff --git a/Dockerfile b/Dockerfiles/anvio-main/Dockerfile
similarity index 68%
rename from Dockerfile
rename to Dockerfiles/anvio-main/Dockerfile
index 38e9dd110e..42fb74cfb9 100644
--- a/Dockerfile
+++ b/Dockerfiles/anvio-main/Dockerfile
@@ -11,43 +11,52 @@
 #     BUILDKIT_PROGRESS=plain docker build -t meren/anvio:$ANVIO_VERSION .
 #
 
-FROM continuumio/miniconda3:4.9.2
-ENV ANVIO_VERSION "7"
+FROM continuumio/miniconda3:4.11.0
+ENV ANVIO_VERSION "7.1_main_0522"
+
+SHELL ["/bin/bash", "--login", "-c"]
 
 RUN conda config --env --add channels bioconda
 RUN conda config --env --add channels conda-forge
 
-RUN conda create -n anvioenv python=3.6
-
-# Install nano early on so the container has
-# something to edit files if debug is necessary
-RUN conda install -y nano
+# Create a conda environment for anvi'o, activate it, and make sure it will
+# always be activated
+RUN conda create -n anvioenv python=3.7
+RUN conda init bash
+RUN conda activate anvioenv
+RUN echo "conda activate anvioenv" >> ~/.bashrc
 
-# Activate environment
+# Activate environment variables
 ENV PATH /opt/conda/envs/anvioenv/bin:$PATH
 ENV CONDA_DEFAULT_ENV anvioenv
 ENV CONDA_PREFIX /opt/conda/envs/anvioenv
 
-RUN echo "conda activate anvioenv" >> ~/.bashrc
-
+# fun stuff
 RUN conda install -y conda-build
 RUN conda install -y conda-verify
 
-COPY conda-recipe /tmp/conda-recipe
+# Install nano early on so the container has
+# something to edit files if debug is necessary
+RUN conda install -y nano
+
+# Install mamba
+RUN conda install -y -c conda-forge mamba
 
-# build and install anvio-minimal
-RUN conda-build /tmp/conda-recipe/anvio-minimal
-RUN conda index /opt/conda/envs/anvioenv/conda-bld/
-RUN conda install -c file:///opt/conda/envs/anvioenv/conda-bld/ anvio-minimal=$ANVIO_VERSION
-RUN conda build purge-all
+# Setup the environment
+RUN mamba install -y -c bioconda -c conda-forge python=3.7 \
+        sqlite prodigal idba mcl muscle=3.8.1551 hmmer diamond \
+        blast megahit spades bowtie2 tbb=2020.3 bwa graphviz \
+        "samtools >=1.9" trimal iqtree trnascan-se fasttree vmatch \
+        r-base r-tidyverse r-optparse r-stringi r-magrittr
 
-# build and install anvio meta package. please note that the next line is quite a memory
-# intensive step. if your docker build command is getting killed abruptly, you may want
-# to increase the memory docker allowed to use (from the docker preferences or otherwise).
-RUN conda-build /tmp/conda-recipe/anvio
-RUN conda index /opt/conda/envs/anvioenv/conda-bld/
-RUN conda install -c file:///opt/conda/envs/anvioenv/conda-bld/ anvio=$ANVIO_VERSION
-RUN conda build purge-all
+# try this, too. it may also fail to install. which is OK:
+RUN mamba install -y -c bioconda fastani
+
+# install qvalue
+RUN Rscript -e 'install.packages("BiocManager", repos="https://cran.rstudio.com"); BiocManager::install("qvalue")'
+
+# Install anvi'o from pip
+RUN pip install git+https://github.com/merenlab/anvio.git
 
 # Install METABAT and DAS_TOOL
 RUN conda install metabat2 das_tool
@@ -57,9 +66,6 @@ RUN apt-get update && apt-get install -qq build-essential libgsl0-dev bedtools m
 RUN conda install cython
 RUN pip install https://github.com/BinPro/CONCOCT/archive/1.1.0.tar.gz
 
-# Install BINSANITY
-RUN pip install git+https://github.com/edgraham/BinSanity.git
-
 # Install MAXBIN2 (installing fraggenescan will require cpanm, and we also need IDBA-UD)
 RUN conda install -c bioconda perl-app-cpanminus
 RUN cpanm --self-upgrade --sudo
@@ -72,12 +78,8 @@ RUN echo 'export PATH=/opt/FragGeneScan1.31:$PATH' >> ~/.bashrc
 RUN echo 'export PATH=/opt/MaxBin-2.2.7:$PATH' >> ~/.bashrc
 
 # Install some helper tools
-RUN pip install virtualenv
 RUN apt-get install vim util-linux -yy
 
-# this one is too painful to install through Conda
-RUN Rscript -e 'install.packages(c("optparse"), repos="https://cran.rstudio.com")'
-
 # Cutify the environment
 RUN echo "export PS1=\"\[\e[0m\e[47m\e[1;30m\] :: anvi'o v$ANVIO_VERSION :: \[\e[0m\e[0m \[\e[1;34m\]\]\w\[\e[m\] \[\e[1;32m\]>>>\[\e[m\] \[\e[0m\]\"" >> /root/.bashrc
 
diff --git a/Dockerfiles/anvio-structure/Dockerfile b/Dockerfiles/anvio-structure/Dockerfile
new file mode 100644
index 0000000000..cf0372f676
--- /dev/null
+++ b/Dockerfiles/anvio-structure/Dockerfile
@@ -0,0 +1,106 @@
+# To start a build in an absolutely pristine Docker environment you can use the following
+# to clean up your docker (although please note that it will remove all existing containers
+# and cached states):
+#
+#     docker rmi --force $(docker images -a --filter=dangling=true -q)
+#     docker rm --force $(docker ps --filter=status=exited --filter=status=created -q)
+#     docker system prune --force -a
+#
+# after that, you can start the build with the following:
+#
+#     BUILDKIT_PROGRESS=plain docker build -t meren/anvio:$ANVIO_VERSION .
+#
+
+FROM continuumio/miniconda3:4.11.0
+ENV ANVIO_VERSION "7.1_structure"
+
+SHELL ["/bin/bash", "--login", "-c"]
+
+RUN conda config --env --add channels bioconda
+RUN conda config --env --add channels conda-forge
+
+# Create a conda environment for anvi'o, activate it, and make sure it will
+# always be activated
+RUN conda create -n anvioenv python=3.6
+RUN conda init bash
+RUN conda activate anvioenv
+RUN echo "conda activate anvioenv" >> ~/.bashrc
+
+# Activate environment variables
+ENV PATH /opt/conda/envs/anvioenv/bin:$PATH
+ENV CONDA_DEFAULT_ENV anvioenv
+ENV CONDA_PREFIX /opt/conda/envs/anvioenv
+
+# fun stuff
+RUN conda install -y conda-build
+RUN conda install -y conda-verify
+
+# Install nano early on so the container has
+# something to edit files if debug is necessary
+RUN conda install -y nano
+
+# Install mamba
+RUN conda install -y -c conda-forge mamba
+
+# Install anvi'o 7.1 packages
+# NOTE R 3.6.1 or maybe 3.6.3 is desired
+RUN mamba install -y -c bioconda -c conda-forge -c salilab python=3.6 \
+        "sqlite>=3.31.1" prodigal mcl muscle=3.8.1551 hmmer \
+        diamond blast megahit spades bowtie2 tbb=2019.8 bwa \
+        samtools=1.9 centrifuge trimal iqtree trnascan-se \
+        r-base=3.6.1 r-stringi r-tidyverse r-magrittr r-optparse \
+        bioconductor-qvalue fasttree vmatch fastani \
+        dssp=3.0.0 paml modeller
+
+# install pymol
+RUN mamba install -c schrodinger pymol
+
+# install qvalue
+RUN Rscript -e 'install.packages("BiocManager", repos="https://cran.rstudio.com"); BiocManager::install("qvalue")'
+
+# Setup APT
+RUN apt-get update
+
+##############################################################
+# Install anvi'o from pip
+##############################################################
+RUN curl -L https://github.com/merenlab/anvio/releases/download/v7.1/anvio-7.1.tar.gz -o anvio-7.1.tar.gz
+RUN pip install file:///anvio-7.1.tar.gz
+RUN rm anvio-7.1.tar.gz
+
+##############################################################
+# Setup anvi'o databases
+##############################################################
+RUN anvi-setup-interacdome
+RUN anvi-setup-kegg-kofams --kegg-snapshot v2020-12-23
+RUN anvi-setup-pfams --pfam-version 33.1
+RUN anvi-setup-ncbi-cogs --cog-version COG20
+
+##############################################################
+# install dependencies for the reproducible workflow
+##############################################################
+RUN pip install xlrd==1.2.0 openpyxl==3.0.9 prody==2.0.1 tmscoring 'iminuit<2'
+
+##############################################################
+# Other dependencies
+##############################################################
+
+# Install METABAT and DAS_TOOL
+RUN conda install metabat2 das_tool
+
+# Install CONCOCT
+RUN apt-get install -qq build-essential libgsl0-dev bedtools mummer samtools perl libssl-dev
+RUN mamba install cython
+RUN pip install https://github.com/BinPro/CONCOCT/archive/1.1.0.tar.gz
+
+# Install some helper tools
+RUN apt-get install vim util-linux -yy
+
+# Cutify the environment
+RUN echo "export PS1=\"\[\e[0m\e[41m\e[1;31m\] :: anvi'o v7.1 STRUCTURE :: \[\e[0m\e[0m \[\e[1;34m\]\]\w\[\e[m\] \[\e[1;32m\]>>>\[\e[m\] \[\e[0m\]\"" >> /root/.bashrc
+
+CMD /bin/bash -l
+
+# To test the build, you can run this:
+#
+# docker run --rm -it -v `pwd`:`pwd` -w `pwd` -p 8080:8080 meren/anvio:test-build
diff --git a/README.md b/README.md
index c399600541..3ac8033949 100644
--- a/README.md
+++ b/README.md
@@ -2,15 +2,15 @@
 
 ### Releases
 
-Github [releases page](https://github.com/meren/anvio/releases) lists all the stable releases of anvi'o.
+Github [releases page](https://github.com/merenlab/anvio/releases) lists all the stable releases of anvi'o.
 
 ### Installation and tutorials
 
-The [anvi'o project page](http://merenlab.org/software/anvio/) gives access to installation manuals, user tutorials, and other sweets. 
+The [anvi'o project page](https://anvio.org) gives access to installation manuals, user tutorials, and other sweets. 
 
 ### Help on anvi'o programs and artifacts
 
-[The anvi'o help pages](http://merenlab.org/software/anvio/help) describe individual anvi'o programs as well as artifacts they consume or produce.
+[The anvi'o help pages](https://anvio.org/help) describe individual anvi'o programs as well as artifacts they consume or produce.
 
 ### Coding style considerations
 
@@ -18,7 +18,7 @@ Please see [relevant discussions](https://github.com/merenlab/anvio/issues?q=lab
 
 ### Community chat
 
-Click [this link](https://join.slack.com/t/anvio/shared_invite/zt-hrzx35df-vgYwfik0VxaObQuME_XLwg) to join our Slack team.
+Click [this link](https://join.slack.com/t/anvio/shared_invite/zt-ov46uj90-9p2woLJFcVCfv7cdhANXSA) to join the anvi'o Slack channel.
 
 ### Others on anvi'o
 
diff --git a/anvio/__init__.py b/anvio/__init__.py
index a470009998..74aacde184 100644
--- a/anvio/__init__.py
+++ b/anvio/__init__.py
@@ -3,11 +3,55 @@
 
 """Lots of under-the-rug, operational garbage in here. Run. Run away."""
 
-import os
+anvio_version = '7.1-dev'
+anvio_codename = 'hope' # after Hope E. Hopps, https://sivb.org/awards/student-awards/hope-e-hopps-award.html
+                        # see the release notes for details: https://github.com/merenlab/anvio/releases/tag/v7
+
+major_python_version_required = 3
+minor_python_version_required = 7
+
 import sys
+import platform
+
+# make sure anvi'o runs in the right Python environment:
+try:
+    if not (sys.version_info.major == major_python_version_required and sys.version_info.minor >= minor_python_version_required):
+        sys.stderr.write("\n========================================================\n"
+                         "🦄 SOMETHING BAD HAPPENED AND IT NEEDS YOUR ATTENTION 🦄\n"
+                         "========================================================\n"
+                         "The environment in which you're running anvi'o has a Python \n"
+                         "version that is not compatible with the Python version \n"
+                         "requirement of anvi'o you are running. Here is a summary: \n\n"
+
+                         f"    Anvi'o version you have ..............: {anvio_version} ({anvio_codename})\n"
+                         f"    Python version you have ..............: {platform.python_version()}\n"
+                         f"    Python version anvi'o wants ..........: {major_python_version_required}.{minor_python_version_required}.*\n\n")
+
+        if anvio_version.endswith('dev'):
+            sys.stderr.write("Those who follow the active development branch of anvi'o (like \n"
+                             "yourself) are among our most important users as they help us \n"
+                             "find and address bugs before they can make their way into a stable \n"
+                             "release. Thus, we are extra sorry for this inconvenience :/ But \n"
+                             "the change in the required Python version (which must happened \n"
+                             "after you started tracking the active development branch) \n"
+                             "requires you to get rid of your current anvi'o enviroment, and \n"
+                             "setup a new one using the most up-to-date instructions here:\n\n"
+                             "    https://anvio.org/install/#5-follow-the-active-development-youre-a-wizard-arry\n\n"
+                             "Thank you for your patience and understanding.\n\n")
+        else:
+            sys.stderr.write("This should never have happened with a stable anvi'o release :/ \n"
+                             "Please follow the most up-to-date installation instructions at \n"
+                             "https://anvio.org/install/ to re-install anvi'o and its environment.\n\n")
+        sys.exit(-1)
+except Exception:
+    sys.stderr.write("(anvi'o failed to learn about your Python version, but it will pretend as if nothing happened)\n\n")
+
+# we are in the right Python environment. import the rest of the libraries
+# and do all the other boring stuff.
+
+import os
 import json
 import copy
-import platform
 
 from tabulate import tabulate
 
@@ -15,18 +59,18 @@
 # unless you want to explode `bottle`:
 import pkg_resources
 
-anvio_version = '7-dev'
-anvio_codename = 'hope' # after Hope E. Hopps, https://sivb.org/awards/student-awards/hope-e-hopps-award.html
-                        # see the release notes for details: https://github.com/merenlab/anvio/releases/tag/v7
-
+# very important variable to determine which help docs are relevant for
+# this particlar anvi'o environment
 anvio_version_for_help_docs = "main" if anvio_version.endswith('dev') else anvio_version
 
+# very handy global settings depending on sys.argv content
 DEBUG = '--debug' in sys.argv
 FORCE = '--force' in sys.argv
 QUIET = '--quiet' in sys.argv
 NO_PROGRESS = '--no-progress' in sys.argv
 AS_MARKDOWN = '--as-markdown' in sys.argv
 FIX_SAD_TABLES = '--fix-sad-tables' in sys.argv
+FORCE_OVERWRITE = '--force-overwrite' in sys.argv
 DISPLAY_DB_CALLS = '--display-db-calls' in sys.argv
 DEBUG_AUTO_FILL_ANVIO_DBS = '--debug-auto-fill-anvio-dbs' in sys.argv
 DOCS_PATH = os.path.join(os.path.dirname(__file__), 'docs')
@@ -79,16 +123,6 @@ def TABULATE(table, header, numalign="right", max_width=0):
     print(table)
 
 
-# Make sure the Python environment hasn't changed since the installation (happens more often than you'd think
-# on systems working with multiple Python installations that are managed through modules):
-try:
-    if sys.version_info.major != 3 or sys.version_info.minor < 5:
-        sys.stderr.write("Sad face :( Your active Python version is %s, but anvi'o only works with Python version 3.5.0 or later.\n" % (platform.python_version()))
-        sys.exit(-1)
-except Exception:
-    sys.stderr.write("(anvi'o failed to learn about your Python version, but it will pretend as if nothing happened)\n\n")
-
-
 import anvio.constants as constants
 
 
@@ -183,7 +217,6 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "The description text will be rendered and shown in all relevant interfaces, including the "
                      "anvi'o interactive interface, or anvi'o summary outputs."}
                 ),
-
     'additional-view': (
             ['-V', '--additional-view'],
             {'metavar': 'ADDITIONAL_VIEW',
@@ -560,10 +593,8 @@ def TABULATE(table, header, numalign="right", max_width=0):
             ['--include-ungrouped'],
             {'default': False,
              'action': 'store_true',
-             'help': "Use this flag if you want anvi'o to include genomes/samples with no group in the analysis. (For pangenomes, this means "
-                     "the genome has no value set for the category variable which you specified using --category-variable. "
-                     "For modules, this means the sample has no group specified in the groups-txt file. And for regular 'ol "
-                     "genomes, this means the genome has nothing in the 'group' column of the input file). By default all "
+             'help': "Use this flag if you want anvi'o to include genomes with no group in the analysis. This means the "
+                     "genome has nothing in the 'group' column of the input file. By default all "
                      "variables with no value will be ignored, but if you apply this flag, they will instead be considered as "
                      "a single group (called 'UNGROUPED' when performing the statistical analysis."}
                 ),
@@ -886,8 +917,68 @@ def TABULATE(table, header, numalign="right", max_width=0):
             {'default': None,
              'type': str,
              'help': "The directory path for your KEGG setup, which will include things like "
-                     "KOfam profiles and KEGG MODULE data. Anvi'o will try to use the default path "
-                     "if you do not specify anything."}
+                     "KOfam profiles, KEGG MODULE data, and KEGG BRITE data. Anvi'o will try "
+                     "to use the default path if you do not specify anything."}
+                ),
+    'user-modules': (
+            ['-u', '--user-modules'],
+            {'default': None,
+             'metavar': 'DIR_PATH',
+             'type': str,
+             'help': "Directory location where your metabolic module files are kept. It is also "
+                     "the output directory, since the modules database will be set up in this folder."}
+                ),
+    'only-user-modules': (
+            ['--only-user-modules'],
+            {'default': False,
+             'action': 'store_true',
+             'help': "If you use this flag in conjunction with --user-modules, anvi'o will ONLY "
+                     "run estimation on your user-defined metabolism data (ie, it will NOT use KEGG at all). "
+                     "The default is to run on both KEGG and user data when --user-modules is provided."}
+                ),
+    'enzymes-list-for-module': (
+            ['-e', '--enzymes-list-for-module'],
+            {'default': None,
+             'metavar': 'FILE_PATH',
+             'help': "A TAB-delimited flat text file that lists the enzymes in your module (one enzyme per line). "
+                     "There are three required columns: an 'enzyme' column that contains the identifier for the enzyme, "
+                     "a 'source' column that contains the annotation source of the enzyme, and an 'orthology' column "
+                     "that contains the functional annotation of the enzyme. Note that the orthology column can be left "
+                     "blank IIF the annotation source is 'KOfam'."}
+                ),
+    'module-entry': (
+            ['-I', '--module-entry'],
+            {'default': None,
+             'metavar': 'ENTRY_ID',
+             'type': str,
+             'required': True,
+             'help': "The entry ID for the module. Should be one 'word' (underscores and dashes allowed), and unique to the module."}
+                ),
+    'module-name': (
+            ['-n', '--module-name'],
+            {'default': None,
+             'metavar': 'NAME',
+             'type': str,
+             'required': True,
+             'help': "The name of the module (an arbitrary string - spaces allowed). "}
+                ),
+    'module-definition': (
+            ['-d', '--module-definition'],
+            {'default': None,
+             'metavar': 'DEFINITION',
+             'type': str,
+             'help': "The definition string of the module in terms of enzyme identifiers, formatted in the KEGG fashion. "
+                     "All enzymes in the definition should be present in the enzymes-list-for-module file. See help pages "
+                     "for instructions on creating the definition."}
+                ),
+    'module-class': (
+            ['-c', '--module-class'],
+            {'default': None,
+             'metavar': 'CLASS',
+             'type': str,
+             'required': True,
+             'help': "The class of the module. Should be one string with three sections (class, category, subcategory) "
+                     "separated by semi-colons."}
                 ),
     'kegg-archive': (
             ['--kegg-archive'],
@@ -913,6 +1004,27 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "do not fear - you can provide this flag to tell anvi'o to download the latest, freshest data directly "
                      "from KEGG's REST API and set it up into an anvi'o-compatible database."}
                 ),
+    'only-download': (
+            ['--only-download'],
+            {'default': False,
+             'action': 'store_true',
+             'help': "You want this program to only download data from KEGG, and then stop. It will not "
+                     "make a modules database. (It would be a *very* good idea for you to specify a "
+                     "data directory using --kegg-data-dir in this case, so that you can find the resulting "
+                     "data easily and avoid messing up any data in the default KEGG directory. But you are "
+                     "of course free to do whatever you want.). Note that KOfam profiles will still be "
+                     "processed with `hmmpress` if you choose this option."}
+             ),
+    'only-database': (
+            ['--only-database'],
+            {'default': False,
+             'action': 'store_true',
+             'help': "You already have all the KEGG data you need on your computer. Perhaps you even got it from "
+                     "this program, using the --only-download option. We don't know. What matters is that you don't "
+                     "need anything downloaded, you just want this program to setup a modules database from that "
+                     "existing data. Good. We can do that if you provide this flag (and probably also the --kegg-data-dir "
+                     "in which said data is located)."}
+             ),
     'kegg-snapshot': (
             ['--kegg-snapshot'],
             {'default': None,
@@ -1274,15 +1386,6 @@ def TABULATE(table, header, numalign="right", max_width=0):
             {'metavar': 'SEARCH_TERMS',
              'help': "Search terms. Multiple of them can be declared separated by a delimiter (the default is a comma)."}
                 ),
-    'sensitive': (
-            ['--sensitive'],
-            {'default': False,
-             'action': 'store_true',
-             'help': "DIAMOND sensitivity. With this flag you can instruct DIAMOND to be 'sensitive', rather than 'fast' "
-                     "during the search. It is likely the search will take remarkably longer. But, hey, if you are doing "
-                     "it for your final analysis, maybe it should take longer and be more accurate. This flag is only "
-                     "relevant if you are running DIAMOND."}
-                ),
     'gene-caller-ids': (
             ['--gene-caller-ids'],
             {'metavar': 'GENE_CALLER_IDS',
@@ -1466,6 +1569,27 @@ def TABULATE(table, header, numalign="right", max_width=0):
             {'metavar': 'CONTIG_NAME',
              'help': "Contig name."}
                 ),
+    'target-contig': (
+            ['--target-contig'],
+            {'metavar': 'CONTIG_NAME',
+             'default': None,
+             'type': str,
+             'help': "Contig name of interest."}
+                ),
+    'target-region-start': (
+            ['--target-region-start'],
+            {'metavar': 'NUCLEOTIDE_POSITION',
+             'default': None,
+             'type': int,
+             'help': "The start position of the region of interest."}
+                ),
+    'target-region-end': (
+            ['--target-region-end'],
+            {'metavar': 'NUCLEOTIDE_POSITION',
+             'default': None,
+             'type': int,
+             'help': "The end position of the region of interest."}
+                ),
     'program': (
             ['--program'],
             {'metavar': 'PROGRAM_NAME',
@@ -1516,6 +1640,13 @@ def TABULATE(table, header, numalign="right", max_width=0):
             {'metavar': 'FILE_PATH',
              'help': "Text file for gene clusters (each line should contain be a unique gene cluster id)."}
                 ),
+    'split-output-per-gene-cluster': (
+            ['--split-output-per-gene-cluster'],
+            {'default': False,
+             'action': 'store_true',
+             'help': "If/when there are more than one gene clusters to report, put each gene cluster into a "
+                     "separate FASTA file."}
+                ),
     'bin-id': (
             ['-b', '--bin-id'],
             {'metavar': 'BIN_NAME',
@@ -2473,6 +2604,25 @@ def TABULATE(table, header, numalign="right", max_width=0):
              'help': "Use this flag to request that coverage and detection values be added as columns in long-format "
                      "output files. You must provide the profile database corresonding to your contigs db for this to work."}
                 ),
+    'add-copy-number': (
+            ['--add-copy-number'],
+            {'default': False,
+             'action': 'store_true',
+             'help': "Use this flag to request that module copy number (the number of complete copies of a module, or path "
+                     "through a module) be added to your output files. In long-format mode, it will be an additional column. "
+                     "In matrix mode, it will be an additional matrix file."}
+                ),
+    'include-kos-not-in-kofam': (
+            ['--include-kos-not-in-kofam'],
+            {'default': False,
+             'action': 'store_true',
+             'help': "By default, we don't include KEGG Ortholog annotations if they are not in KOfam, or if "
+                     "the KOfam profile does not have a bitscore threshold with which we can distinguish good hits "
+                     "from bad hits (anvi-run-kegg-kofams does not even annotate these KOs). But if you got your "
+                     "annotations outside of anvi'o and you want to include ALL KOs in your analysis, use this flag "
+                     "to do so. This flag may be especially appropriate in the case of enzymes-txt input, though you "
+                     "can use it with all input types."}
+                ),
     'users-data-dir': (
             ['-U', '--users-data-dir'],
             {'metavar': 'USERS_DATA_DIR',
@@ -2544,13 +2694,59 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "usage output to make sure the memory use never exceeds the size of the physical memory."}
                 ),
     'export-gff3': (
-        ['--export-gff3'],
-        {
-            'default': False,
-            'action': 'store_true',
-            'help': "If this is true, the output file will be in GFF3 format."
-        }
-    ),
+            ['--export-gff3'],
+            {'default': False,
+             'action': 'store_true',
+             'help': "If this is true, the output file will be in GFF3 format."}
+        ),
+    'palindrome-search-algorithm': (
+            ['--palindrome-search-algorithm'],
+            {'default': None,
+             'type': str,
+             'choices': {'numba', 'BLAST'},
+             'help': "There are two algorithms for calculating palindromes: 'BLAST' and 'numba'. By default, anvi'o will dynamically "
+                     "optimize your search for speed and will use numba when a given sequence is shorter than 5,000 nucleotides or "
+                     "will use BLAST otherwise. However, you can use this parameter to ask anvi'o to use either of these methods "
+                     "explicitly to search for palindromes. You can choose from the options 'BLAST' or 'numba'. Please note that "
+                     "the results from the two approaches may differ."}
+        ),
+    'min-mismatch-distance-to-first-base': (
+            ['--min-mismatch-distance-to-first-base'],
+            {'default': 1,
+             'metavar': 'INT',
+             'type': int,
+             'help': "This parameter allows you to trim the palindrome when one or more mismatches are n nucleotides away "
+                     "from a palindrome's start or stop. By default, this flag is set to 1, which means anvi'o will trim "
+                     "palindromes with a mismatch that are occuring on the second or n-1 position. Here is an example "
+                     "palindrome `MMMMMM(X)M` where `M` are the matching nucleotides and `X` is a mismatch. By default, "
+                     "anvi'o will only report the first six matches: `MMMMMMM`. The rationale behind this parameter is that "
+                     "when searching for palindromes with mismatches, the algorithm will extend the palindrome length "
+                     "as much as possible, often wrongly including mismatches which are outside of the true palindrome."}
+        ),
+    'min-palindrome-length': (
+            ['-l', '--min-palindrome-length'],
+            {'default': 10,
+             'metavar': 'INT',
+             'type': int,
+             'help': "The minimum palindrome length."}
+        ),
+    'min-distance': (
+            ['-d', '--min-distance'],
+            {'default': 50,
+             'metavar': 'INT',
+             'type': int,
+             'help': "The minimum distance between palindromic sequences (this parameter is essentially "
+                     "asking for the number of `x` in the sequence `ATCGxxxCGAT`). A value of 0 means "
+                     "that the algorithm will find all palindromes whether they are 'in-place' palindromes or "
+                     "distant palindromes. The default value is %(default)d ncl."}
+        ),
+    'max-num-mismatches': (
+            ['-m', '--max-num-mismatches'],
+            {'default': 0,
+             'metavar': 'INT',
+             'type': int,
+             'help': "The maximum number of mismatches allowed."}
+        ),
     'export-svg': (
             ['--export-svg'],
             {'type': str,
@@ -2693,25 +2889,25 @@ def TABULATE(table, header, numalign="right", max_width=0):
              'help': "Provide if working with INSeq/Tn-Seq genomic data. With this, all gene level "
                      "coverage stats will be calculated using INSeq/Tn-Seq statistical methods."}
                 ),
-    'migrate-dbs-safely': (
-            ['--migrate-dbs-safely'],
+    'migrate-safely': (
+            ['--migrate-safely'],
             {'required': False,
              'action': 'store_true',
              'default': False,
-             'help': "If you chose this, anvi'o will first create a copy of your original database. If something "
-                     "goes wrong, it will restore the original. If everything works, it will remove the old copy. "
-                     "IF YOU HAVE DATABASES THAT ARE VERY LARGE OR IF YOU ARE MIGRATING MANY MANY OF THEM THIS "
-                     "OPTION WILL ADD A HUGE I/O BURDEN ON YOUR SYSTEM. But still. Safety is safe."}
+             'help': "If you chose this, anvi'o will first create a copy of your input file, and if something "
+                     "goes wrong, it will restore the original. If everything works fine, it will remove the copy. "
+                     "IF YOU HAVE ANVI'O ARTIFACTS THAT ARE VERY LARGE OR IF YOU ARE MIGRATING MANY MANY OF THEM, "
+                     "THIS OPTION WILL ADD A HUGE I/O BURDEN ON YOUR SYSTEM :/ But still. Safety is safe."}
                 ),
-    'migrate-dbs-quickly': (
-            ['--migrate-dbs-quickly'],
+    'migrate-quickly': (
+            ['--migrate-quickly'],
             {'required': False,
              'action': 'store_true',
              'default': False,
-             'help': "If you chose this, anvi'o will migrate your databases in place. It will be much faster (and arguably "
-                     "more fun) than the safe option, but if something goes wrong, you will lose data. During the first "
-                     "five years of anvi'o development not a single user lost data using our migration scripts as far as "
-                     "we know. But there is always a first, and today might be your lucky day."}
+             'help': "If you chose this, anvi'o will migrate your artifats in place. It will be much faster (and arguably "
+                     "more fun since #YOLO) than the safe option, but if something goes wrong, you will lose data. "
+                     "During the first five years of anvi'o development not, a single user lost data using our migration "
+                     "scripts as far as we know. But there is always a first, and today might be your lucky day."}
                 ),
     'module-completion-threshold': (
             ['--module-completion-threshold'],
@@ -2794,6 +2990,12 @@ def TABULATE(table, header, numalign="right", max_width=0):
              'help': "Use this flag to generate a tab-delimited text file containing the bit scores "
                      "of every KOfam hit that is put in the contigs database."}
                 ),
+    'skip-brite-hierarchies': (
+            ['--skip-brite-hierarchies'],
+            {'default': False,
+             'action': 'store_true',
+             'help': "Use this flag to skip using BRITE hierarchies, which we don't recommend but let you do anyways."}
+                ),
     'heuristic-e-value': (
             ['-E', '--heuristic-e-value'],
             {'default': 1.0e-5,
@@ -2888,6 +3090,15 @@ def TABULATE(table, header, numalign="right", max_width=0):
                     "look at. The values in this column should correspond to those in the 'sample' column in "
                     "the groups-txt input file."}
                 ),
+    'use-stepwise-completeness': (
+            ['--use-stepwise-completeness'],
+            {'default': False,
+            'action': 'store_true',
+            'help': "By default, this program will use pathwise completeness of a module to determine if it "
+                    "is present in a sample or not. To make it use stepwise completeness instead, provide this "
+                    "flag. Confused? Don't worry. Check out the online documentation for a discussion on "
+                    "pathwise vs stepwise completeness."}
+                ),
     'trnaseq-fasta': (
             ['-f', '--trnaseq-fasta'],
             {'metavar': 'FASTA',
diff --git a/anvio/argparse.py b/anvio/argparse.py
index 569373a0d2..0a38b84cb4 100755
--- a/anvio/argparse.py
+++ b/anvio/argparse.py
@@ -14,6 +14,7 @@
 import anvio.terminal as terminal
 
 from anvio.programs import Program
+from anvio.errors import ConfigError
 from anvio.dbinfo import FindAnvioDBs
 from anvio.utils import is_program_exists as get_program_path
 
@@ -37,6 +38,11 @@ def __init__(self, description="No description :/", epilog=None):
         self.description = description
         self.epilog = epilog or self.get_anvio_epilogue()
 
+        self.anvio_allowed_ad_hoc_flags = ['--version', '--debug', '--force', '--fix-sad-tables',
+                                           '--quiet', '--no-progress', '--as-markdown', '--display-db-calls',
+                                           '--force-use-my-tree', '--force-overwrite', '--tmp-dir',
+                                           '--I-know-this-is-not-a-good-idea']
+
 
     def get_anvio_epilogue(self):
         """Function that formats the additional message that appears at the end of help."""
@@ -178,6 +184,21 @@ def format_help(self):
         return help_text
 
 
+    def sanity_check(self, args):
+        """Simple sanity checks for global arguments"""
+
+        # make sure num threads are not 0 or negative.
+        if args and 'num_threads' in args:
+            try:
+                args.num_threads = int(args.num_threads)
+            except:
+                raise ConfigError(f"Among your parameters anvi'o found one that sets the number of threads, "
+                                  f"a value that should be a positive integer. But '{args.num_threads}' is not :/")
+
+            if args.num_threads <= 0:
+                raise ConfigError(f"The number of threads must be a positive integer. `{args.num_threads}` is not it :/")
+
+
     def get_args(self, parser, auto_fill_anvio_dbs=False):
         """A helper function to parse args anvi'o way.
 
@@ -191,6 +212,8 @@ def get_args(self, parser, auto_fill_anvio_dbs=False):
 
         args, unknown = parser.parse_known_args()
 
+        self.sanity_check(args)
+
         if auto_fill_anvio_dbs:
             if anvio.DEBUG_AUTO_FILL_ANVIO_DBS:
                 args = PopulateAnvioDBArgs(args, lazy_init=False).get_updated_args()
@@ -381,5 +404,3 @@ def get_updated_args(self):
                 self.run.info(variable, reason, nl_after= (1 if (variable, reason) == self.__args_failed[-1] else 0), lc="yellow")
 
         return self.args
-
-
diff --git a/anvio/auxiliarydataops.py b/anvio/auxiliarydataops.py
index d7eb5dd2a2..617c22e122 100644
--- a/anvio/auxiliarydataops.py
+++ b/anvio/auxiliarydataops.py
@@ -64,9 +64,20 @@ def check_hash(self):
                                       these files probaby belong to different projects.' % (actual_db_hash, self.db_hash))
 
 
-    def append(self, split_name, sample_name, coverage_list):
-        coverage_list_blob = utils.convert_numpy_array_to_binary_blob(np.array(coverage_list, dtype=COVERAGE_DTYPE))
-        self.coverage_entries.append((split_name, sample_name, coverage_list_blob, ))
+    def append(self, split_name, sample_name, coverage_array):
+        if (coverage_array == 0).all():
+            # Oh my. This split has yielded 0 reads, resulting in a coverage array of strictly zeros.
+            # Instead of storing a gzipped byte representation of `coverage_array`, we save the
+            # space and instead store a simple integer value equal to the length of the split.
+            # Later, when downstream applications query the coverage of this split, the dedicated
+            # method self.get will know how to interpret this integer value and return the
+            # appropriate array of zeros. This saves some storage space, and also makes querying the
+            # coverage of this split faster
+            stored_coverage = len(coverage_array)
+        else:
+            stored_coverage = utils.convert_numpy_array_to_binary_blob(coverage_array.astype(self.coverage_dtype))
+
+        self.coverage_entries.append((split_name, sample_name, stored_coverage, ))
 
 
     def store(self):
@@ -117,9 +128,22 @@ def get(self, split_name):
 
         split_coverage = {}
         for row in rows:
-            sample_name, coverage_blob = row # unpack sqlite row tuple
-
-            split_coverage[sample_name] = utils.convert_binary_blob_to_numpy_array(coverage_blob, dtype=COVERAGE_DTYPE)
+            sample_name, blob = row # unpack sqlite row tuple
+
+            if isinstance(blob, int):
+                # Look what we have here! Most typically, we store split coverage data as a gzipped
+                # byte representation of a numpy array, where each element in the numpy array
+                # denotes the coverage of a given nucleotide. However, an exception is made whenever
+                # a split has a numpy array of strictly zeros. In this case, we instead store `blob`
+                # as an integer representing the split length, which is used in the line below to
+                # construct an array of zeros on the fly. This saves us the requirement of storing
+                # these zeros, but it also makes querying faster, since no array has to be
+                # decompressed. So if you've ended up here, you're enjoying a 2X speed gain.
+                coverage_array = np.zeros(blob, dtype=self.coverage_dtype)
+            else:
+                coverage_array = utils.convert_binary_blob_to_numpy_array(blob, dtype=self.coverage_dtype)
+
+            split_coverage[sample_name] = coverage_array
 
         return split_coverage
 
diff --git a/anvio/bamops.py b/anvio/bamops.py
index 1c581821b3..f795e8cbd9 100644
--- a/anvio/bamops.py
+++ b/anvio/bamops.py
@@ -39,6 +39,176 @@
 __status__ = "Development"
 
 
+class PairedEndTemplateDist:
+    def __init__(self, args, run=terminal.Run(), progress=terminal.Progress()):
+        self.args = args
+        self.run = run
+        self.progress = progress
+
+        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
+        self.bam_file_path = A('bam_file')
+        self.min_frequency_of_tlen = A('min_template_length_frequency') or 10
+        self.max_tlen_to_consider = A('max_template_length_to_consider') or 500000
+        self.output_file_path = A('output_file') or 'TEMPLATE-LENGTH-STATS.txt'
+        self.plot_data = A('plot_data')
+
+        self.run.info('BAM file', self.bam_file_path)
+
+        self.template_lengths = {}
+
+
+    def process(self):
+        filesnpaths.is_file_bam_file(self.bam_file_path)
+        filesnpaths.is_output_file_writable(self.output_file_path, ok_if_exists=False)
+
+        bam = BAMFileObject(self.bam_file_path, 'rb')
+        self.contig_names = bam.references
+        self.contig_lengths = bam.lengths
+
+        self.progress.new('Initializing')
+        self.progress.update('Counting num contigs ...')
+        num_contigs = len(self.contig_names)
+        self.progress.update('Counting num reads ...')
+        num_reads = bam.count()
+        self.progress.end()
+
+        self.run.info('Number of contigs', pp(num_contigs))
+        self.run.info('Number of reads', pp(num_reads))
+        self.run.info('Minimum template length frequency', pp(self.min_frequency_of_tlen))
+        self.run.info('Maximum template length to consider', pp(self.max_tlen_to_consider), nl_after=1)
+
+        self.progress.new("Bleep bloop", progress_total_items=num_reads)
+        self.progress.update('...')
+
+        mem_tracker = terminal.TrackMemory(at_most_every=5)
+        mem_usage, mem_diff = mem_tracker.start()
+
+        for j in range(0, num_contigs):
+            contig_name = self.contig_names[j]
+
+            template_lengths_counter = Counter()
+
+            num_reads_processed = 0
+            for read in bam.fetch_only(contig_name):
+                num_reads_processed += 1
+
+                if read.is_paired and not read.mate_is_unmapped and read.tlen != 0:
+                    template_lengths_counter[abs(read.tlen)] += 1
+
+                if num_reads_processed % 100000 == 0:
+                    if mem_tracker.measure():
+                        mem_usage = mem_tracker.get_last()
+                        mem_diff = mem_tracker.get_last_diff()
+
+                    self.progress.increment(increment_to=num_reads_processed)
+                    self.progress.update(f"READ {pp(num_reads_processed)}/{pp(num_reads)} :: CONTIG {pp(j+1)}/{pp(num_contigs)} :: MEMORY 🧠 {mem_usage} ({mem_diff})")
+
+            # remove rarely occuring template lengths
+            tlens_to_discard = [tlen for tlen in template_lengths_counter if template_lengths_counter[tlen] < self.min_frequency_of_tlen or tlen > self.max_tlen_to_consider]
+            [template_lengths_counter.pop(tlen) for tlen in tlens_to_discard]
+
+            # code below looks dumb, b/c we first count frequencies using a Counter,
+            # and then turn it into a huge Python array by adding each tlen as many
+            # times as it was observed. but in fact this is faster than `.append()`
+            # for an array, or adding numbers to a numpy array. LOOK I HAM AS CONFUSE
+            # AS U R, BUT I HAS TESTED IT.
+            self.template_lengths[contig_name] = []
+            for tlen in template_lengths_counter:
+                self.template_lengths[contig_name].extend([tlen] * template_lengths_counter[tlen])
+
+        self.progress.end()
+
+        contigs_without_tlen_data = [c for c in self.template_lengths if not len(self.template_lengths[c])]
+        if len(contigs_without_tlen_data) == num_contigs:
+            raise ConfigError("So. None of your contigs seem to have any template length data, which suggests that "
+                              "either the reads that were mapped to your sequences to generate this BAM file were "
+                              "single reads rather than paired-end reads, or you set a crazy high `--min-tlen-frequency` "
+                              "value even though you didn't have a large number of reads in your BAM file. WHICH ONE "
+                              "IS IT, FLORIAN, WHICH ONE?")
+        elif len(contigs_without_tlen_data) < num_contigs:
+            self.run.warning(f"Some of your contigs, {pp(len(contigs_without_tlen_data))} of {pp(num_contigs)} to "
+                             f"be precise, did not seem to have any template lenght data. There are many reasons "
+                             f"this could happen, including a very high `--min-tlen-frequency` parameter for BAM files "
+                             f"with small number of reads. But since there are some contigs that seem to have proper paired-"
+                             f"end reads with template lengths, anvi'o will continue reporting and put zeros for "
+                             f"contigs that have no data in output files.")
+        else:
+            # we're golden
+            pass
+
+        if self.output_file_path:
+            self.report()
+
+        if self.plot_data:
+            self.plot_histogram()
+
+
+    def report(self):
+        stats = {}
+
+        self.progress.new("Summarizing data for reporting", progress_total_items=len(self.contig_names))
+        for contig_name in self.template_lengths:
+            self.progress.update(f"{contig_name}", increment=True)
+
+            if len(self.template_lengths[contig_name]):
+                # the following class was designed for coverage stats, but it does a large part
+                # of what we need to learn for these np arrays, so why not:
+                arr = np.array(self.template_lengths[contig_name])
+                C = utils.CoverageStats(arr, skip_outliers=True)
+
+                stats[contig_name] = {'length': self.contig_lengths[self.contig_names.index(contig_name)],
+                                      'num_reads_considered': len(arr),
+                                      'mean'     : f"{C.mean:.4}",
+                                      'mean_Q2Q3': f"{C.mean_Q2Q3:.4}",
+                                      'median'   : f"{C.median}",
+                                      'min'      : f"{C.min}",
+                                      'max'      : f"{C.max}",
+                                      'std'      : f"{C.std:.4}"}
+            else:
+                stats[contig_name] = {'length': self.contig_lengths[self.contig_names.index(contig_name)],
+                                      'num_reads_considered': 0,
+                                      'mean'     : "",
+                                      'mean_Q2Q3': "",
+                                      'median'   : "",
+                                      'min'      : "",
+                                      'max'      : "",
+                                      'std'      : ""}
+
+        self.progress.end()
+
+        headers = ['contig', 'length', 'num_reads_considered', 'mean', 'mean_Q2Q3', 'median', 'min', 'max', 'std']
+        utils.store_dict_as_TAB_delimited_file(stats, self.output_file_path, headers=headers)
+
+        self.run.info('Output file', self.output_file_path, nl_after=1)
+
+
+    def plot_histogram(self, num_bins=50):
+        try:
+            import plotext as plt
+        except:
+            self.run.warning("You don't have the `plotext` library to plot data :/ You can "
+                             "install it by running `pip install plotext` in your anvi'o "
+                             "environment.", header="NO PLOT FOR YOU :(")
+            return
+
+        self.progress.new("Bleep bloop")
+        self.progress.update('Merging all tlens from all contigs ...')
+        tlens_across_all_contigs = []
+        for contig_name in self.template_lengths:
+            tlens_across_all_contigs.extend(self.template_lengths[contig_name])
+        self.progress.end()
+
+        self.run.info_single("All the data are ready for plotting, if you are lucky, you "
+                             "should see a histogram of tlen distributions below.", nl_after=1)
+
+        plt.clp()
+        plt.title(f"The overall distribution of pair1 and pair2 distances in {os.path.basename(self.bam_file_path)}")
+        plt.xlabel("Template length")
+        plt.ylabel("Frequency")
+        plt.hist(tlens_across_all_contigs, num_bins)
+        plt.plotsize(progress.terminal_width, 40)
+        plt.show()
+
 
 class BAMFileObject(pysam.AlignmentFile):
     def __init__(self, *args):
@@ -814,12 +984,22 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
         self.args = args
 
         A = lambda x: args.__dict__[x] if x in args.__dict__ else None
+        # groupA inputs (all the anvi'o files)
         self.input_bam_files = A('input_bams')
         self.profile_db_path = A('profile_db')
         self.contigs_db_path = A('contigs_db')
         self.collection_name = A('collection_name')
         self.bin_id = A('bin_id')
         self.bin_ids_file_path = A('bin_ids_file')
+
+        # grouB inputs (all the ad hoc requests)
+        self.target_contig = A('target_contig')
+        self.target_region_start = A('target_region_start')
+        self.target_region_end = A('target_region_end')
+
+        # we can has fetch filters?
+        self.fetch_filter = A('fetch_filter')
+
         self.output_file_path = A('output_file')
         self.output_file_prefix = A('output_file_prefix')
         self.gzip = A('gzip_output')
@@ -828,71 +1008,105 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
         self.bins = set([])
         self.split_names_of_interest = set([])
 
-        self.initialized = False
-
-
-    def init(self):
-        utils.is_contigs_db(self.contigs_db_path)
 
-        self.run.info('Input BAM file(s)', ', '.join([os.path.basename(f) for f in self.input_bam_files]))
-
-        d = ccollections.GetSplitNamesInBins(self.args).get_dict()
-        self.bins = list(d.keys())
-
-        for split_names in list(d.values()):
-            self.split_names_of_interest.update(split_names)
+    def sanity_check(self):
+        """A function to ensure everything is order given the `args`"""
 
-        self.run.info('Collection ID', self.collection_name)
-        self.run.info('Bin(s)', ', '.join(self.bins))
-        self.run.info('Number of splits', pp(len(self.split_names_of_interest)))
+        ##############################################################
+        # make sure BAM files are legit
+        ##############################################################
+        bad_bam_files = []
+        error_message = None
+        for bam_file_path in self.input_bam_files:
+            try:
+                bam_file_object = BAMFileObject(bam_file_path)
+                bam_file_object.close()
+            except ConfigError as e:
+                bad_bam_files.append(bam_file_path)
+                error_message = e
 
-        self.initialized = True
+        if len(bad_bam_files):
+            raise ConfigError('Samtools is not happy with some of your bam files. The following '
+                              'file(s) do not look like proper BAM files [here is the actual '
+                              'error: "%s"]: %s.' % (error_message, ','.join(bad_bam_files)))
 
+        ##############################################################
+        # make sure the input files look OK.
+        ##############################################################
+        if self.profile_db_path or self.contigs_db_path:
+            ##############################################################
+            # the user has chosen the anvi'o files path
+            ##############################################################
+            if self.target_contig:
+                raise ConfigError("If you choose to go with anvi'o databases to determine which short reads "
+                                  "to get from your BAM files, then you can't also provide a target contig "
+                                  "name.")
+
+            utils.is_profile_db_and_contigs_db_compatible(self.profile_db_path, self.contigs_db_path)
+        elif self.target_contig:
+            ##############################################################
+            # the user has chosen the ad hoc inputs path
+            ##############################################################
+            if self.profile_db_path or self.collection_name or self.bin_id or self.bin_ids_file_path:
+                raise ConfigError("If you choose to go with an ad hoc contig name to get your short reads for, "
+                                  "you can't also provide anvi'o databases, collections, or bin names. Stop "
+                                  "confusing anvi'o :(")
+
+        ##############################################################
+        # make sure output files are OK
+        ##############################################################
+        if self.output_file_prefix and self.output_file_path:
+            raise ConfigError("You must either use the parameter output file name, or output file prefix.")
 
-    def get_short_reads_for_splits_dict(self):
-        if not self.initialized:
-            raise ConfigError('The `GetReadsFromBAM` class is not initialized :/ Ad hoc use of this class is '
-                              'OK, but in that case you should set `self.initialized` to True, and provide '
-                              'the split names of interest manually.')
+        if self.output_file_prefix and not self.split_R1_and_R2:
+            raise ConfigError("Output file prefix parameter is only relevant when you want to split R1 reads "
+                              "from R2 reads and so on.")
 
-        if not len(self.split_names_of_interest):
-            raise ConfigError("The split names of interest set is empty. This should have never happened. Good "
-                              "job.")
+        if self.split_R1_and_R2 and not self.output_file_prefix:
+            raise ConfigError("If you wish R1 and R2 reads to be reported in separate FASTA files, \
+                               you need to provide an output file prefix so anvi'o can generate\
+                               multiple output files that start with it (i.e., PREFIX_R1.fa, PREFIX_R2.fa\
+                               PREFIX_UNPAIRED.fa).")
 
-        short_reads_for_splits_dict = {}
         if self.split_R1_and_R2:
-            short_reads_for_splits_dict['R1'] = {}
-            short_reads_for_splits_dict['R2'] = {}
-            short_reads_for_splits_dict['UNPAIRED'] = {}
+            filesnpaths.is_output_file_writable(self.output_file_prefix + '_R1.fa')
+        elif self.output_file_path:
+            filesnpaths.is_output_file_writable(self.output_file_path)
         else:
-            short_reads_for_splits_dict['all'] = {}
+            filesnpaths.is_output_file_writable('short_reads.fa')
 
-        self.progress.new('Accessing reads')
-        self.progress.update('Reading splits info from the contigs database ...')
-        contigs_db = dbops.ContigsDatabase(self.contigs_db_path)
-        splits_basic_info = contigs_db.db.get_table_as_dict(t.splits_info_table_name)
-        contigs_db.disconnect()
 
-        self.progress.update('Identifying contigs associated with splits ...')
-        contigs_involved = utils.get_contigs_splits_dict(self.split_names_of_interest, splits_basic_info)
+    def get_short_reads_dict(self, contig_start_stops):
+        """Gets short reads from BAM files, literally.
 
-        # this variable will hold a list of (contig_id, start, stop) tuples
-        # for each contig and the start and stop positions of sequential blocks
-        # of splits identified within them
-        contig_start_stops = []
+        If `contig_start_stops` is None, the function will learn the contig names in the first
+        BAM file and generate a `contig_start_stops` list.
+        """
 
-        self.progress.update('Computing start/stops positions of interest in %d contigs ...' % (len(contigs_involved)))
-        for contig_id in contigs_involved:
-            splits_order = list(contigs_involved[contig_id].keys())
-            sequential_blocks = ccollections.GetSequentialBlocksOfSplits(splits_order).process()
+        self.run.info('Input BAM file(s)', ', '.join([os.path.basename(f) for f in self.input_bam_files]), nl_before=1)
+        self.run.info('Fetch filter', self.fetch_filter, nl_after=1, mc=('red' if not self.fetch_filter else 'green'))
+
+        # if the user has provided no `contig_start_stops`, then we will have to recover all contig names
+        # from the BAM file and use them as our target.
+        if not contig_start_stops:
+            bam_file_path_to_recover_contig_names_from = self.input_bam_files[0]
+            self.progress.new('Recovering contig names')
+            self.progress.update(f"from {bam_file_path_to_recover_contig_names_from} ...")
+            bam_file_object = BAMFileObject(bam_file_path_to_recover_contig_names_from)
+            contig_start_stops = [(contig_name, 0, sys.maxsize) for contig_name in bam_file_object.references]
+            bam_file_object.close()
+            self.progress.end()
 
-            for sequential_block in sequential_blocks:
-                first_split = contigs_involved[contig_id][sequential_block[0]]
-                last_split = contigs_involved[contig_id][sequential_block[-1]]
+        # prepare the dictionary to be returned
+        short_reads_dict = {}
+        if self.split_R1_and_R2:
+            short_reads_dict['R1'] = {}
+            short_reads_dict['R2'] = {}
+            short_reads_dict['UNPAIRED'] = {}
+        else:
+            short_reads_dict['all'] = {}
 
-                contig_start_stops.append((contig_id,
-                                           splits_basic_info[first_split]['start'],
-                                           splits_basic_info[last_split]['end']),)
+        self.progress.new("Recovering short reads")
 
         # at this point contig_start_stops knows every contig we are interested in, and
         # their start and stop positions based on what split ids were requested. we
@@ -902,6 +1116,11 @@ def get_short_reads_for_splits_dict(self):
             bam_file_name = filesnpaths.get_name_from_file_path(bam_file_path)
 
             bam_file_object = BAMFileObject(bam_file_path)
+            bam_file_object.fetch_filter = self.fetch_filter
+
+            for contig_id, start, stop in contig_start_stops:
+                if contig_id not in bam_file_object.references:
+                    raise ConfigError(f"The contig name '{contig_id}' is not in the BAM file at '{bam_file_path}' :(")
 
             self.progress.update('Creating a dictionary of matching short reads in %s ...' % bam_file_name)
 
@@ -919,63 +1138,191 @@ def get_short_reads_for_splits_dict(self):
              'reference_start', 'rlen', 'rname', 'rnext', 'seq', 'setTag', 'set_tag', 'set_tags', 'tags',
              'template_length', 'tid', 'tlen']'''
 
-            has_unknown_mate = {}
+            D = lambda sequence: {'seq': sequence, 'contig': contig_id, 'start': str(read.get_reference_positions()[0]), 'stop': str(read.get_reference_positions()[-1]), 'bam': bam_file_name, 'read': read.query_name}
+
+            # this will serve as a unique id per read
+            counter = 0
+            unknown_mate_tracker_dict = {}
+            unknown_mate_defline_to_counter = {}
             if self.split_R1_and_R2:
                 for contig_id, start, stop in contig_start_stops:
-                    for read in bam_file_object.fetch(contig_id, start, stop):
+
+                    # learn contig length & ensure the stop position is not longer than the contig length
+                    contig_length = bam_file_object.lengths[bam_file_object.references.index(contig_id)]
+                    stop = contig_length if stop > contig_length else stop
+
+                    for read in bam_file_object.fetch_only(contig_id, start, stop):
+                        counter += 1
 
                         defline = '_'.join([contig_id, str(start), str(stop), read.query_name, bam_file_name])
 
                         if not read.is_paired:
-                            short_reads_for_splits_dict['UNPAIRED'][defline] = read.query_sequence
+                            short_reads_dict['UNPAIRED'][counter] = D(read.query_sequence)
 
-                        elif defline in has_unknown_mate:
+                        elif defline in unknown_mate_tracker_dict:
                             # `read`s mate has already been read. so assign the read and the mate
                             # to their respective 'R1' and 'R2' dictionaries, then remove the mate
-                            # from has_unknown_mate since its mate is now known.
+                            # from unknown_mate_tracker_dict since its mate is now known.
                             read_DIRECTION = 'R1' if read.is_read1 else 'R2'
                             mate_DIRECTION = 'R2' if read_DIRECTION == 'R1' else 'R1'
 
-                            # rev_comp either R1 or R2 to match the original short reads orientation 
+                            counter_for_unknown_mate = unknown_mate_defline_to_counter[defline]
+
+                            # rev_comp either R1 or R2 to match the original short reads orientation
                             if read.is_reverse:
-                                short_reads_for_splits_dict[mate_DIRECTION][defline] = has_unknown_mate[defline]
-                                short_reads_for_splits_dict[read_DIRECTION][defline] = utils.rev_comp(read.query_sequence)
+                                short_reads_dict[mate_DIRECTION][counter] = D(unknown_mate_tracker_dict[defline]['seq'])
+                                short_reads_dict[read_DIRECTION][counter] = D(utils.rev_comp(read.query_sequence))
                             else:
-                                short_reads_for_splits_dict[mate_DIRECTION][defline] = utils.rev_comp(has_unknown_mate[defline])
-                                short_reads_for_splits_dict[read_DIRECTION][defline] = read.query_sequence
+                                short_reads_dict[mate_DIRECTION][counter] = D(utils.rev_comp(unknown_mate_tracker_dict[defline]['seq']))
+                                short_reads_dict[read_DIRECTION][counter] = D(read.query_sequence)
 
-                            del has_unknown_mate[defline]
+                            del unknown_mate_tracker_dict[defline]
+                            del unknown_mate_defline_to_counter[defline]
 
                         else:
-                            has_unknown_mate[defline] = read.query_sequence
-                short_reads_for_splits_dict['UNPAIRED'].update(has_unknown_mate)
+                            unknown_mate_tracker_dict[defline] = D(read.query_sequence)
+                            unknown_mate_defline_to_counter[defline] = counter
+
+
+                short_reads_dict['UNPAIRED'].update(unknown_mate_tracker_dict)
             else:
                 for contig_id, start, stop in contig_start_stops:
-                    for read in bam_file_object.fetch(contig_id, start, stop):
-                        short_reads_for_splits_dict['all']['_'.join([contig_id, str(start), str(stop), read.query_name, bam_file_name])] = read.query_sequence
+                    # sanity check for the stop position
+                    contig_length = bam_file_object.lengths[bam_file_object.references.index(contig_id)]
+                    stop = contig_length if stop > contig_length else stop
+
+                    for read in bam_file_object.fetch_only(contig_id, start, stop):
+                        counter += 1
+                        short_reads_dict['all'][counter] = D(read.query_sequence)
+
             bam_file_object.close()
 
         self.progress.end()
 
-        return short_reads_for_splits_dict
+        return short_reads_dict
+
+
+    def get_all_short_reads_from_bam(self):
+        """A route to get all short reads from BAM files without anvi'o files or specific contigs"""
+
+
+        self.run.info('Mode', "Nothing is provided -- will report all reads", mc="green")
 
+        return self.get_short_reads_dict(contig_start_stops=None)
+
+
+    def get_short_reads_for_contig_and_range(self):
+        """A route get short reads based on the contig name and/or start/stop positions defined by the user"""
+
+        if not self.target_contig:
+            raise ConfigError("You can't be here without a target contig name :/")
+
+        self.run.info('Mode', "Contig name provided by the user", mc="green")
+        self.run.info('Contig name', self.target_contig)
+        self.run.info('Target region start', self.target_region_start if self.target_region_start else "Start from the beginning")
+        self.run.info('Target region end', self.target_region_end if self.target_region_end else "Go all the way to the end of the contig")
+
+        contig_start_stops = [(self.target_contig, self.target_region_start or 0, self.target_region_end or sys.maxsize)]
+
+        return self.get_short_reads_dict(contig_start_stops)
+
+
+    def get_short_reads_through_anvio_files(self, split_names_of_interest=None):
+        """A route get short reads based on anvi'o collection/bin names or for a given splits dict"""
+
+        if split_names_of_interest:
+            # programmer passed the split names of interest manually
+            self.split_names_of_interest = split_names_of_interest
+            self.run.info('Mode', "Split names are passed to the function as a variable", mc="green")
+        elif len(self.split_names_of_interest) > 0:
+            # programmer passed the split names of interest by setting a member variable
+            self.run.info('Mode', "Split names are passed as a class member variable", mc="green")
+        else:
+            # we will recover split names of interest from anvi'o files
+            self.run.info('Mode', "Recovering split names from anvi'o files", mc="green")
+            self.run.info('Profile DB', self.profile_db_path)
+            self.run.info('Contigs DB', self.contigs_db_path)
+            self.run.info('Collection ID', self.collection_name)
+
+            d = ccollections.GetSplitNamesInBins(self.args).get_dict()
+            self.bins = list(d.keys())
+
+            for split_names in list(d.values()):
+                self.split_names_of_interest.update(split_names)
+
+            self.run.info('Bin(s)', ', '.join(self.bins))
+
+        if not len(self.split_names_of_interest):
+            raise ConfigError("The split names of interest set is empty. This should have never happened. Good "
+                              "job.")
+        else:
+            self.run.info('Number of splits', pp(len(self.split_names_of_interest)), nl_after=1)
+
+        self.progress.new('Identifying contig start/stops')
+        self.progress.update('Reading splits info from the contigs database ...')
+        contigs_db = dbops.ContigsDatabase(self.contigs_db_path)
+        splits_basic_info = contigs_db.db.get_table_as_dict(t.splits_info_table_name)
+        contigs_db.disconnect()
+
+        self.progress.update('Identifying contigs associated with splits ...')
+        contigs_involved = utils.get_contigs_splits_dict(self.split_names_of_interest, splits_basic_info)
+
+        # this variable will hold a list of (contig_id, start, stop) tuples
+        # for each contig and the start and stop positions of sequential blocks
+        # of splits identified within them
+        contig_start_stops = []
+
+        self.progress.update('Computing start/stops positions of interest in %d contigs ...' % (len(contigs_involved)))
+        for contig_id in contigs_involved:
+            splits_order = list(contigs_involved[contig_id].keys())
+            sequential_blocks = ccollections.GetSequentialBlocksOfSplits(splits_order).process()
+
+            for sequential_block in sequential_blocks:
+                first_split = contigs_involved[contig_id][sequential_block[0]]
+                last_split = contigs_involved[contig_id][sequential_block[-1]]
+
+                contig_start_stops.append((contig_id,
+                                           splits_basic_info[first_split]['start'],
+                                           splits_basic_info[last_split]['end']),)
+
+        self.progress.end()
+
+        return self.get_short_reads_dict(contig_start_stops)
+
+
+    def get_short_reads(self):
+        """Function that determines different routes to get short reads.
+
+        A broker of sorts. If you have a nicely prepared `args` object, this is the function
+        you should be using.
+        """
 
-    def store_short_reads_for_splits(self):
         self.sanity_check()
 
-        if not self.sanity_checked:
-            raise ConfigError("store_short_reads_for_splits :: Cannot be called before running sanity_check")
+        if self.profile_db_path or self.contigs_db_path:
+            short_reads_dict = self.get_short_reads_through_anvio_files()
+        elif self.target_contig:
+            short_reads_dict = self.get_short_reads_for_contig_and_range()
+        else:
+            short_reads_dict = self.get_all_short_reads_from_bam()
 
-        short_reds_for_splits_dict = self.get_short_reads_for_splits_dict()
+        return short_reads_dict
+
+
+    def store_short_reads(self):
+        short_reads_dict = self.get_short_reads()
 
         self.progress.new("Storing reads")
         self.progress.update("...")
 
         if self.split_R1_and_R2:
-            for read_type in sorted(list(short_reds_for_splits_dict.keys())):
-                output_file_path = '%s_%s.fa' % (self.output_file_prefix, read_type)
+            for read_type in sorted(list(short_reads_dict.keys())):
+                output_file_path = f"{self.output_file_prefix}_{read_type}.fa"
+                with open(output_file_path, 'w') as output:
+                    for entry_id in short_reads_dict[read_type]:
+                        e = short_reads_dict[read_type][entry_id]
+                        output.write(f">{entry_id} read_id:{e['read']}|bam:{e['bam']}|contig:{e['contig']}|start:{e['start']}|stop:{e['stop']}\n{e['seq']}\n")
 
-                utils.store_dict_as_FASTA_file(short_reds_for_splits_dict[read_type], output_file_path)
                 if self.gzip:
                     utils.gzip_compress_file(output_file_path)
                     output_file_path = output_file_path + ".gz"
@@ -983,11 +1330,15 @@ def store_short_reads_for_splits(self):
                 self.run.info('Output file for %s' % read_type, output_file_path, progress=self.progress)
 
             self.progress.end()
-            self.run.info('Num paired-end reads stored', pp(len(short_reds_for_splits_dict['R1'])), mc='green', nl_before=1)
-            self.run.info('Num unpaired reads stored', pp(len(short_reds_for_splits_dict['UNPAIRED'])), mc='green')
+            self.run.info('Num paired-end reads stored', pp(len(short_reads_dict['R1'])), mc='green', nl_before=1)
+            self.run.info('Num unpaired reads stored', pp(len(short_reads_dict['UNPAIRED'])), mc='green')
         else:
             output_file_path = self.output_file_path or 'short_reads.fa'
-            utils.store_dict_as_FASTA_file(short_reds_for_splits_dict['all'], output_file_path)
+
+            with open(output_file_path, 'w') as output:
+                for entry_id in short_reads_dict['all']:
+                    e = short_reads_dict['all'][entry_id]
+                    output.write(f">{entry_id} read_id:{e['read']}|bam:{e['bam']}|contig:{e['contig']}|start:{e['start']}|stop:{e['stop']}\n{e['seq']}\n")
 
             if self.gzip:
                 utils.gzip_compress_file(output_file_path)
@@ -995,46 +1346,7 @@ def store_short_reads_for_splits(self):
 
             self.progress.end()
             self.run.info('Output file for all short reads',output_file_path)
-            self.run.info('Num reads stored', pp(len(short_reds_for_splits_dict['all'])), mc='green')
-
-
-    def sanity_check(self):
-        bad_bam_files = []
-        error_message = None
-        for bam_file_path in self.input_bam_files:
-            try:
-                bam_file_object = BAMFileObject(bam_file_path)
-                bam_file_object.close()
-            except ConfigError as e:
-                bad_bam_files.append(bam_file_path)
-                error_message = e
-
-        if len(bad_bam_files):
-            raise ConfigError('Samtools is not happy with some of your bam files. The following '
-                              'file(s) do not look like proper BAM files [here is the actual '
-                              'error: "%s"]: %s.' % (error_message, ','.join(bad_bam_files)))
-
-        if self.output_file_prefix and self.output_file_path:
-            raise ConfigError("You must either use the parameter output file name, or output file prefix.")
-
-        if self.output_file_prefix and not self.split_R1_and_R2:
-            raise ConfigError("Output file prefix parameter is only relevant when you want to split R1 reads "
-                              "from R2 reads and so on.")
-
-        if self.split_R1_and_R2 and not self.output_file_prefix:
-            raise ConfigError("If you wish R1 and R2 reads to be reported in separate FASTA files, \
-                               you need to provide an output file prefix so anvi'o can generate\
-                               multiple output files that start with it (i.e., PREFIX_R1.fa, PREFIX_R2.fa\
-                               PREFIX_UNPAIRED.fa).")
-
-        if self.split_R1_and_R2:
-            filesnpaths.is_output_file_writable(self.output_file_prefix + '_R1.fa')
-        elif self.output_file_path:
-            filesnpaths.is_output_file_writable(self.output_file_path)
-        else:
-            filesnpaths.is_output_file_writable('short_reads.fa')
-
-        self.sanity_checked = True
+            self.run.info('Num reads stored', pp(len(short_reads_dict['all'])), mc='green')
 
 
 class ReadsMappingToARange:
@@ -1287,5 +1599,3 @@ def _trim(cigartuples, cigar_consumption, query_sequence, reference_sequence, re
         reference_start += ref_positions_trimmed
 
     return cigartuples, query_sequence, reference_sequence, reference_start, reference_end
-
-
diff --git a/anvio/bottleroutes.py b/anvio/bottleroutes.py
index fcd4c7bf47..ecfe2bea3c 100644
--- a/anvio/bottleroutes.py
+++ b/anvio/bottleroutes.py
@@ -23,12 +23,19 @@
 import importlib
 
 from hashlib import md5
-from multiprocessing import Process
 from ete3 import Tree
 from bottle import Bottle
 from bottle import BaseRequest
 from bottle import redirect, static_file
 
+# multiprocess is a fork of multiprocessing that uses the dill serializer instead of pickle
+# using the multiprocessing module directly results in a pickling error in Python 3.10 which
+# goes like this:
+#
+#   >>> AttributeError: Can't pickle local object 'SOMEFUNCTION.<locals>.<lambda>' multiprocessing
+#
+import multiprocess as multiprocessing
+
 import anvio
 import anvio.dbops as dbops
 import anvio.utils as utils
@@ -202,11 +209,11 @@ def run_application(self, ip, port):
         try:
             # allow output to terminal when debugging
             if anvio.DEBUG:
-                server_process = Process(target=self.run, kwargs={'host': ip, 'port': port, 'quiet': False, 'server': self._wsgi_for_bottle})
+                server_process = multiprocessing.Process(target=self.run, kwargs={'host': ip, 'port': port, 'quiet': False, 'server': self._wsgi_for_bottle})
                 server_process.start()
             else:
                 with terminal.SuppressAllOutput():
-                    server_process = Process(target=self.run, kwargs={'host': ip, 'port': port, 'quiet': True, 'server': self._wsgi_for_bottle})
+                    server_process = multiprocessing.Process(target=self.run, kwargs={'host': ip, 'port': port, 'quiet': True, 'server': self._wsgi_for_bottle})
                     server_process.start()
 
             url = "http://%s:%d" % (ip, port)
diff --git a/anvio/clustering.py b/anvio/clustering.py
index 96da1d9366..ee83f2cfd1 100644
--- a/anvio/clustering.py
+++ b/anvio/clustering.py
@@ -119,7 +119,7 @@ def get_newick_from_matrix(vectors, distance, linkage, norm, id_to_sample_dict,
 
 def create_newick_file_from_matrix_file(observation_matrix_path, output_file_path, linkage=constants.linkage_method_default,
                          distance=constants.distance_metric_default, norm='l1', progress=progress, transpose=False,
-                         items_order_file_path=None):
+                         items_order_file_path=None, pad_with_zeros=False):
     is_distance_and_linkage_compatible(distance, linkage)
     filesnpaths.is_file_exists(observation_matrix_path)
     filesnpaths.is_file_tab_delimited(observation_matrix_path)
@@ -128,7 +128,7 @@ def create_newick_file_from_matrix_file(observation_matrix_path, output_file_pat
     if items_order_file_path:
         filesnpaths.is_output_file_writable(items_order_file_path)
 
-    id_to_sample_dict, sample_to_id_dict, header, vectors = utils.get_vectors_from_TAB_delim_matrix(observation_matrix_path, transpose=transpose)
+    id_to_sample_dict, sample_to_id_dict, header, vectors = utils.get_vectors_from_TAB_delim_matrix(observation_matrix_path, transpose=transpose, pad_with_zeros=pad_with_zeros)
 
     vectors = np.array(vectors)
 
diff --git a/anvio/cogs.py b/anvio/cogs.py
index 3f98932c36..baa9253cb2 100644
--- a/anvio/cogs.py
+++ b/anvio/cogs.py
@@ -5,7 +5,6 @@
 """
 
 import os
-import sys
 import gzip
 import glob
 import shutil
@@ -59,7 +58,6 @@ def __init__(self, args=Args(), run=run, progress=progress):
         self.contigs_db_path = A('contigs_db')
         self.search_with = A('search_with') or 'diamond'
         self.temp_dir_path = A('temporary_dir_path')
-        self.sensitive = A('sensitive')
 
         self.log_file_path = None
 
@@ -358,7 +356,6 @@ def search_with_diamond(self, aa_sequences_file_path):
         diamond.search_output_path = J(self.temp_dir_path, 'diamond-search-results')
         diamond.tabular_output_path = J(self.temp_dir_path, 'diamond-search-results.txt')
 
-        diamond.sensitive = self.sensitive
         diamond.max_target_seqs = 1
 
         diamond.blastp()
diff --git a/anvio/constants.py b/anvio/constants.py
index d754ef8ded..4b3b1a8eec 100644
--- a/anvio/constants.py
+++ b/anvio/constants.py
@@ -134,6 +134,38 @@
 distance_metric_default = 'euclidean'
 linkage_method_default = 'ward'
 
+# The purpose of the `fetch_filters` dictionary below is to filter reads as they are
+# read from BAM files especially during anvi'o profiling (the primary client of this
+# dictionary is `anvio/bamops.py`). Essentially, any combination of the following
+# properties defined in the `read` object returned by the `fetch` function of pysam
+# can be added to this dictionary to create new filters that are then globally applied
+# to 'fetched' reads during profiling to exclude those that return `false`:
+#
+#     >>> 'aend', 'alen', 'aligned_pairs', 'bin', 'blocks', 'cigar', 'cigarstring', 'cigartuples',
+#         'compare', 'flag', 'from_dict', 'fromstring', 'get_aligned_pairs', 'get_blocks', 'get_cigar_stats',
+#         'get_forward_qualities', 'get_forward_sequence', 'get_overlap', 'get_reference_positions',
+#         'get_reference_sequence', 'get_tag', 'get_tags', 'has_tag', 'header', 'infer_query_length',
+#         'infer_read_length', 'inferred_length', 'is_duplicate', 'is_paired', 'is_proper_pair',
+#         'is_qcfail', 'is_read1', 'is_read2', 'is_reverse', 'is_secondary', 'is_supplementary',
+#         'is_unmapped', 'isize', 'mapping_quality', 'mapq', 'mate_is_reverse', 'mate_is_unmapped', 'mpos',
+#         'mrnm', 'next_reference_id', 'next_reference_name', 'next_reference_start', 'opt', 'overlap', 'pnext',
+#         'pos', 'positions', 'qend', 'qlen', 'qname', 'qqual', 'qstart', 'qual', 'query', 'query_alignment_end',
+#         'query_alignment_length', 'query_alignment_qualities', 'query_alignment_sequence',
+#         'query_alignment_start', 'query_length', 'query_name', 'query_qualities', 'query_sequence',
+#         'reference_end', 'reference_id', 'reference_length', 'reference_name', 'reference_start', 'rlen',
+#         'rname', 'rnext', 'seq', 'setTag', 'set_tag', 'set_tags', 'tags', 'template_length', 'tid', 'tlen',
+#         'to_dict', 'to_string', 'tostring'
+#
+# Please note that these variable names may change across versions of pysam. See anvio/bamops.py for most
+# up-to-date usage of these filters since we are terrible at updating comments elsewhere in the code after
+# making significant changes to our modules :/
+fetch_filters = {None                 : None,
+                 'double-forwards'    : lambda x: x.is_paired and not x.is_reverse and not x.mate_is_reverse and not x.mate_is_unmapped and x.reference_name == x.next_reference_name,
+                 'double-reverses'    : lambda x: x.is_paired and x.is_reverse and x.mate_is_reverse and not x.mate_is_unmapped and x.reference_name == x.next_reference_name,
+                 'inversions'         : lambda x: (x.is_paired and not x.is_reverse and not x.mate_is_reverse and not x.mate_is_unmapped and x.reference_name == x.next_reference_name and (abs(x.tlen) < 2000)) or \
+                                                  (x.is_paired and x.is_reverse and x.mate_is_reverse and not x.mate_is_unmapped and x.reference_name == x.next_reference_name and (abs(x.tlen) < 2000)),
+                 'single-mapped-reads': lambda x: x.mate_is_unmapped,
+                 'distant-pairs-1K'   : lambda x: x.is_paired and not x.mate_is_unmapped and abs(x.tlen) > 1000}
 
 # Whether a cigarstring operation consumes the read, reference, or both
 #
diff --git a/anvio/data/interactive/index.html b/anvio/data/interactive/index.html
index 478de2a247..737b3171f4 100644
--- a/anvio/data/interactive/index.html
+++ b/anvio/data/interactive/index.html
@@ -127,7 +127,7 @@
                       <li role="presentation" class="active"><a href="#tree_settings" aria-controls="tree_settings" role="tab" data-toggle="tab"><span class="glyphicon glyphicon-picture" aria-hidden="true" data-help="layers-tab"></span> Main</a></li>
                       <li id="sample_settings_tab" role="presentation"><a href="#samples_settings" aria-controls="samples_settings" role="tab" data-toggle="tab"><span class="glyphicon glyphicon-briefcase" aria-hidden="true"></span> Layers</a></li>
                       <li id="bin_settings_tab" role="presentation" class="disabled"><a href="#bin_settings" aria-controls="bin_settings" role="tab" data-toggle="tab"><span class="glyphicon glyphicon-inbox" aria-hidden="true" data-help="bins-tab"></span> Bins</a></li>
-                      <li role="presentation"><a href="#legend_settings" aria-controls="legend_settings" role="tab" data-toggle="tab"><span class="glyphicon glyphicon-list-alt" aria-hidden="true"></span> Legends</a></li>
+                      <li id="legend_settings_tab" role="presentation"><a href="#legend_settings" aria-controls="legend_settings" role="tab" data-toggle="tab"><span class="glyphicon glyphicon-list-alt" aria-hidden="true"></span> Legends</a></li>
                       <li id="search_panel_tab" role="presentation" class="disabled"><a href="#search_tab" aria-controls="search_tab" role="tab" data-toggle="tab"><span class="glyphicon glyphicon-search" aria-hidden="true" data-help="search-tab"></span> Search</a></li>
                       <li role="presentation" class="dropdown-submenu pull-right">
                         <a class="dropdown-toggle" data-toggle="dropdown" href="#" role="button" aria-haspopup="true" aria-expanded="false">
diff --git a/anvio/data/interactive/js/constants.js b/anvio/data/interactive/js/constants.js
index 29622ae8fb..6f1667ebff 100644
--- a/anvio/data/interactive/js/constants.js
+++ b/anvio/data/interactive/js/constants.js
@@ -141,6 +141,13 @@ var named_functional_sources = {
                                 }),
     },
 
+    'KEGG_BRITE': {
+        'accession_decorator': (function (d) {
+                                    var maps = d.split(', ').map((function (m){return '<a href="https://www.genome.jp/brite/' + m +'" target=_"blank">' + m + '</a>';}));
+                                    return maps.join(', ');
+                                }),
+    },
+
     'GO_TERMS': {
         'annotation_decorator': (function (d) {
                                     var gos = d.split(', ').map((function (g){return '<a href="http://amigo.geneontology.org/amigo/term/' + g +'" target=_"blank">' + g + '</a>';}));
diff --git a/anvio/data/interactive/js/context-menu.js b/anvio/data/interactive/js/context-menu.js
index c0e13f750e..d78a28419f 100644
--- a/anvio/data/interactive/js/context-menu.js
+++ b/anvio/data/interactive/js/context-menu.js
@@ -134,6 +134,37 @@ ContextMenu = function(options) {
                 this.menu_items['inspect']['action'](node, layer, 'gene', false);
             }
         },
+        'open_in_legends': {
+            'title': 'Change category color(s)',
+            'action': (node, layer, param) => {
+                if (!$('#panel-left').is(':visible')) {
+                    toggleLeftPanel()
+                }
+                $($('.nav-tabs a').eq(3)).tab('show')
+
+                let splitHTML = layerdata_title[node.label][layer[0] -1].split('</td>')
+                let legend = extractContent(splitHTML[0]).toLowerCase()
+                let query = extractContent(splitHTML[1])
+                let legendIndex = Number()
+
+                var all = $(".ui-accordion-header").map(function() {
+                    return this.innerHTML;
+                }).get();
+                all.map((i, idx) => {
+                    if(i.toLowerCase().includes(legend.replaceAll('_', ' '))){
+                        legendIndex = idx
+                    }
+                })
+                $( ".ui-accordion" ).accordion( "option", "active", legendIndex );
+                $( `#${legend.replaceAll('_','-').replaceAll(' ','-')}-query-input`).val(query)
+
+                function extractContent(s) { // reference https://stackoverflow.com/questions/28899298/extract-the-text-out-of-html-string-using-javascript
+                    var span = document.createElement('span');
+                    span.innerHTML = s;
+                    return span.textContent || span.innerText;
+                };
+            }
+        },
         'get_hmm_sequence': {
             'title': 'Inspect gene',
             'action': (node, layer, param) => {
@@ -415,7 +446,22 @@ ContextMenu.prototype.BuildMenu = function() {
             if (this.layer) {
                 menu.push('select_layer');
                 menu.push('unselect_layer');
+
+                // only show 'open in legends' option when target layer contains categorical data
+                let splitHTML = layerdata_title[this.node.label][this.layer[0] -1].split('</td>')
+                let legend = extractContent(splitHTML[0]).toLowerCase()
+                let matchedLayerIndex = layerdata[0].map(l => l.toLowerCase()).indexOf(legend).toString()
+                if(Object.keys(categorical_data_colors).includes(matchedLayerIndex)){
+                    menu.push('divider');
+                    menu.push('open_in_legends')
+                }
                 menu.push('divider');
+
+                function extractContent(s) { // reference https://stackoverflow.com/questions/28899298/extract-the-text-out-of-html-string-using-javascript
+                    var span = document.createElement('span');
+                    span.innerHTML = s;
+                    return span.textContent || span.innerText;
+                };
             }
 
             // getting back sequences for things
diff --git a/anvio/data/interactive/js/main.js b/anvio/data/interactive/js/main.js
index c4c40cc578..881e5d8c14 100644
--- a/anvio/data/interactive/js/main.js
+++ b/anvio/data/interactive/js/main.js
@@ -694,12 +694,16 @@ function buildLegendTables() {
     }
 
     legends = [];
-
+    let toastr_warn_flag = false
     for (let pindex in categorical_data_colors)
     {
-        var names = Object.keys(categorical_stats[pindex]).sort(function(a,b){return categorical_stats[pindex][b]-categorical_stats[pindex][a]});
-
-        names.push(names.splice(names.indexOf('None'), 1)[0]); // move null and empty categorical items to end
+        if(Object.keys(categorical_stats[pindex]).length > 20){
+            toastr_warn_flag = true
+            var names = false
+        } else {
+            var names = Object.keys(categorical_stats[pindex]).sort(function(a,b){return categorical_stats[pindex][b]-categorical_stats[pindex][a]});
+            names.push(names.splice(names.indexOf('None'), 1)[0]); // move null and empty categorical items to end
+        }
 
         legends.push({
             'name': getPrettyName(getLayerName(pindex)),
@@ -762,6 +766,7 @@ function buildLegendTables() {
             });
         }
     }
+    if(toastr_warn_flag) toastr.warning("some of your layers have A LOT of categorical data - we've adjusted the legends tab accordingly to save you the headache!")
 
     for (var i=0; i < legends.length; i++)
     {
@@ -773,48 +778,81 @@ function buildLegendTables() {
         } else {
             template += '<span class="label label-default">Main</span> '
         }
-
         template += legend['name'] + '</span><div>';
-        template += `Sort: <div class="btn-group" role="group">
-                        <button type="button" class="btn btn-default" onClick="orderLegend(` + i + `, 'alphabetical');"><span class="glyphicon glyphicon-sort-by-alphabet"></span> Alphabetical</button>
-                        <button type="button" class="btn btn-default" onClick="orderLegend(` + i + `, 'count');"><span class="glyphicon glyphicon-sort-by-order-alt"></span> Count</button>
-                    </div>
-                    <div class="btn-group" role="group">
-                        <button type="button" class="btn btn-default" style="margin-left: 10px;" onClick="$('#batch_coloring_` + i + `').slideToggle();"><span class="glyphicon glyphicon-tint"></span> Batch coloring</button>
-                    </div>
-                    <div id="batch_coloring_` + i + `"  style="display: none; margin: 10px;">
-                        <table class="col-md-12 table-spacing">
-                            <tr>
-                                <td class="col-md-2">Rule: </td>
-                                <td class="col-md-10">
-                                    <input type="radio" name="batch_rule_`+i+`" value="all" checked> All <br />
-                                    <input type="radio" name="batch_rule_`+i+`" value="name"> Name contains <input type="text" id="name_rule_`+i+`" size="8"><br />
-                                    <input type="radio" name="batch_rule_`+i+`" value="count"> Count
-                                        <select id="count_rule_`+i+`">
-                                            <option selected>==</option>
-                                            <option>&lt;</option>
-                                            <option>&gt;</option>
-                                        </select>
-                                        <input type="text" id="count_rule_value_`+i+`" size="3">
-                                    <br />
-                                </td>
-                            </tr>
-                            <tr>
-                                <td class="col-md-2">Color: </td>
-                                <td class="col-md-10"><div id="batch_colorpicker_`+i+`" class="colorpicker" color="#FFFFFF" style="margin-right: 5px; background-color: #FFFFFF; float: none; "></div></td>
-                            </tr>
-                            <tr>
-                                <td class="col-md-2"></td>
-                                <td class="col-md-10"><input id="batch_randomcolor_`+i+`" type="checkbox" /> Assign random color</td>
-                            </tr>
-                            <tr>
-                                <td class="col-md-2"></td>
-                                <td class="col-md-10"><button type="button" class="btn btn-default" onclick="batchColor(`+i+`);">Apply</button></td>
-                            </tr>
-                        </table>
-                    </div>
-                    <div style="clear: both; display:block;"></div>
-                    <hr style="margin-top: 4px; margin-bottom: 4px; "/>`;
+
+        if (!legends[i]['item_names']){
+            template += `
+                <p style="background: #f3f3f3; border-radius: 3px; padding: 10px; font-style: italic;">
+                Use the table below to set colors for your categories in the layer <b>${legend['name']}</b>. Here you can (1) use the input box below to type in the name of a cateogry
+                and choose a color from the color picker to set a single color, (2) use the color picker in the second row to set each category to the same color, or (3) use the
+                button in the third row to randomly assign colors to each category.</p>
+                <div>
+                    <table class="col-md-12 table-spacing table-striped" style="margin-bottom: 10px;">
+                        <tr>
+                            <td class="col-md-auto" style="white-space: nowrap;">For <input type="text" placeholder="Item Name" id="${legend['name'].toLowerCase().replaceAll(' ','-')}-query-input"></td>
+                            <td class="col-md-10" style="text-align: center;">Color: <div id="${legend['name'].replaceAll(' ','-')}-colorpicker" class="colorpicker" color="#FFFFFF" style="vertical-align: middle; background-color: #FFFFFF; float: none; "></div> </td>
+                            <td class="col-md-10" style="text-align: center;"><button type="button" class="btn btn-default" id="${legend['name'].replaceAll(' ','-')}" onclick=queryLegends()>Set</button></td>
+                        </tr>
+                        <tr>
+                            <td class="col-md-auto">For all categories</td>
+                            <td class="col-md-10" style="text-align: center;">Color: <div id="${legend['name'].replaceAll(' ','-')}-batch-colorpicker" class="colorpicker" color="#FFFFFF" style="vertical-align: middle; background-color: #FFFFFF; float: none; "></div></td>
+                            <td class="col-md-10" style="text-align: center;"><button type="button" class="btn btn-default" id="${legend['name'].replaceAll(' ','-')}" onclick=queryLegends('batch')>Set</button></td>
+                        </tr>
+                        <tr>
+                            <td class="col-md-auto" colspan="2">For all categories</td>
+                            <td class="col-md-10"><button type="button" class="btn btn-default" id="${legend['name'].replaceAll(' ','-')}" onclick="queryLegends('random')">Randomize all</button></td>
+                        </tr>
+                    </table>
+
+                    <table class="col-md-12 table-spacing" id="${legend['name'].toLowerCase().replaceAll(' ','-')}-success-message" style="display: none;">
+                        <tr>
+                        <td style="background-color: #85eb8559; color: black; text-align: center; border-radius: 3px; width: 100%">All set! Don't forget to click <b>Draw</b> to see changes when you're done :)</td>
+                        </tr>
+                    </table>
+                </div>
+            `
+        } else {
+            template += `Sort: <div class="btn-group" role="group">
+                            <button type="button" class="btn btn-default" onClick="orderLegend(` + i + `, 'alphabetical');"><span class="glyphicon glyphicon-sort-by-alphabet"></span> Alphabetical</button>
+                            <button type="button" class="btn btn-default" onClick="orderLegend(` + i + `, 'count');"><span class="glyphicon glyphicon-sort-by-order-alt"></span> Count</button>
+                        </div>
+                        <div class="btn-group" role="group">
+                            <button type="button" class="btn btn-default" style="margin-left: 10px;" onClick="$('#batch_coloring_` + i + `').slideToggle();"><span class="glyphicon glyphicon-tint"></span> Batch coloring</button>
+                        </div>
+                        <div id="batch_coloring_` + i + `"  style="display: none; margin: 10px;">
+                            <table class="col-md-12 table-spacing">
+                                <tr>
+                                    <td class="col-md-2">Rule: </td>
+                                    <td class="col-md-10">
+                                        <input type="radio" name="batch_rule_`+i+`" value="all" checked> All <br />
+                                        <input type="radio" name="batch_rule_`+i+`" value="name"> Name contains <input type="text" id="name_rule_`+i+`" size="8"><br />
+                                        <input type="radio" name="batch_rule_`+i+`" value="count"> Count
+                                            <select id="count_rule_`+i+`">
+                                                <option selected>==</option>
+                                                <option>&lt;</option>
+                                                <option>&gt;</option>
+                                            </select>
+                                            <input type="text" id="count_rule_value_`+i+`" size="3">
+                                        <br />
+                                    </td>
+                                </tr>
+                                <tr>
+                                    <td class="col-md-2">Color: </td>
+                                    <td class="col-md-10"><div id="batch_colorpicker_`+i+`" class="colorpicker" color="#FFFFFF" style="margin-right: 5px; background-color: #FFFFFF; float: none; "></div></td>
+                                </tr>
+                                <tr>
+                                    <td class="col-md-2"></td>
+                                    <td class="col-md-10"><input id="batch_randomcolor_`+i+`" type="checkbox" /> Assign random color</td>
+                                </tr>
+                                <tr>
+                                    <td class="col-md-2"></td>
+                                    <td class="col-md-10"><button type="button" class="btn btn-default" onclick="batchColor(`+i+`);">Apply</button></td>
+                                </tr>
+                            </table>
+                        </div>
+                        <div style="clear: both; display:block;"></div>
+                        <hr style="margin-top: 4px; margin-bottom: 4px; "/>`;
+        }
 
         template += '<div id="legend_content_' + i + '"></div>';
         template = template + '<div style="clear: both; display:block;"></div>';
@@ -836,6 +874,44 @@ function buildLegendTables() {
     });
 }
 
+function queryLegends(mode){
+    let legendFormatted = event.target.id.replaceAll('-', '_').toLowerCase()
+    let query = $(`#${event.target.id.toLowerCase()}-query-input`).val()
+    let color = String()
+
+    // because the legends iterator above does not match the categorical_data_colors key
+    // we need to reference the layerdata index value by the same legend name
+    // because layerdata key casing is unpredictable, we clone the layerdata object to a lowercase copy
+    let lowercase_layerdata = layerdata[0].map(l => l.toLowerCase())
+    let legend_index = lowercase_layerdata.indexOf(legendFormatted)
+
+    if(mode == 'random'){
+        for (let [key, value] of Object.entries(categorical_data_colors[legend_index])) {
+            categorical_data_colors[legend_index][key] = randomColor()
+        }
+        displaySuccessMessage()
+    } else if(mode == 'batch'){
+        color = $(`#${event.target.id}-batch-colorpicker`).attr('color')
+        for (let [key, value] of Object.entries(categorical_data_colors[legend_index])) {
+            categorical_data_colors[legend_index][key] = color
+        }
+        displaySuccessMessage()
+    } else if(categorical_data_colors[legend_index]?.[query]){
+        color = $(`#${event.target.id}-colorpicker`).attr('color')
+        categorical_data_colors[legend_index][query] = color
+        displaySuccessMessage()
+    } else {
+        alert('query not found')
+    }
+    $(`#${event.target.id}-query-input`).val('')
+    $(`#${event.target.id}-colorpicker`).attr('color', "#FFFFFF")
+    $(`#${event.target.id}-batch-colorpicker`).attr('color', "#FFFFFF")
+
+    function displaySuccessMessage(){
+        $(`#${legendFormatted.replaceAll('_','-')}-success-message`).fadeIn(300).delay(4000).fadeOut(300)
+    }
+}
+
 function batchColor(legend_id) {
     var rule = $('[name=batch_rule_'+legend_id+']:checked').val()
     var color = $('#batch_colorpicker_' + legend_id).attr('color');
diff --git a/anvio/data/misc/AUTHORS/AUTHORS.yaml b/anvio/data/misc/AUTHORS/AUTHORS.yaml
index fcd03295c4..c66983fa8f 100644
--- a/anvio/data/misc/AUTHORS/AUTHORS.yaml
+++ b/anvio/data/misc/AUTHORS/AUTHORS.yaml
@@ -9,15 +9,34 @@
   skype: a.murat.eren
   bio: "I am a computer scientist with a deep appreciation for the complexity of life. I design algorithms and experiments to better understand microbes and their ecology."
   affiliations:
-    - title: MBL Fellow
+    - title: Professor
+      inst: Helmholtz Institute for Functional Marine Biodiversity at Oldenburg
+      inst_link: https://hifmb.de
+      current: true
+    - title: Professor
+      inst: Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research
+      inst_link: https://awi.de
+      current: true
+    - title: Professor
+      inst: Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg
+      inst_link: https://uol.de/icbm
+      current: true
+    - title: Fellow
       inst: Marine Biological Laboratory
-      inst_link: http://www.mbl.edu/research/mbl-fellows/a-murat-eren/
+      inst_link: http://www.mbl.edu/
+      current: true
+    - title: Fellow
+      inst: Alfred P. Sloan Fondation
+      inst_link: https://sloan.org/grant-detail/9260
     - title: Assistant Professor
       inst: The Department of Medicine at the University of Chicago
       inst_link: http://medicine.uchicago.edu/
     - title: Committee on Microbiology
       inst: The Biomedical Sciences Cluster at the University of Chicago
       inst_link: https://biomedsciences.uchicago.edu/
+    - title: Post-doctoral Scientist
+      inst: Marine Biological Laboratory
+      inst_link: https://mbl.edu
 
 - github: FlorianTrigodet
   name: Florian Trigodet
@@ -52,8 +71,18 @@
   orcid: 0000-0002-6473-0921
   email: kiefl.evan@gmail.com
   avatar: ekiefl.jpg
-  bio: "I am interested in uncovering how single nucleotide variants map to functional variation in the genes of naturally-occuring microbial populations."
+  bio: "Computational biologist and software developer. For my PhD I studied how selective pressures shape the evolution of proteins in naturally occurring microbial populations."
+  intellectual-contributions:
+    - contribution: "Spearheaded the development of protein structure prediction, analysis, and visualization capabilities within anvi'o"
+    - contribution: "Redesigned mission-critical code related to metagenomic workflows, decreasing compute times from >100 hours to <1 hour for terabyte-scale analyses"
+    - contribution: "Made significant contributions to the overall health and maintenance of the codebase through code reviews, performance refactoring, feature implementation, and issue diagnosis"
+    - contribution: "Made significant contributions to the storage, processing, and analysis strategies related to single nucleotide variants (SNVs), single codon variants (SCVs), single amino acid variants (SAAVs), and insertions/deletions (INDELs)"
+    - contribution: "Made significant contributions to documentation, totaling >3,000 lines of codebase documentation and >20,000 words of blogs/tutorials/workflows"
   affiliations:
+    - title: Bioinformatician
+      inst: AbCellera
+      inst_link: https://www.abcellera.com/
+      current: true
     - title: Graduate Student
       inst: The Biophysical Sciences Program at the University of Chicago
       inst_link: http://biophysics.uchicago.edu/
@@ -253,3 +282,20 @@
     - title: JCVI Research Fellow
       inst: J. Craig Venter Institute
       inst_link: https://www.jcvi.org/
+
+- github: nick-youngblut
+  name: Nick Youngblut
+  bio: "Microbiologist studying methanogens and host-microbiome coevolution"
+  avatar: youngblut.jpg
+  email: nyoungb2@gmail.com
+  web: https://leylab.com/research/ecology-and-evolution-of-host-associated-methanogens-youngblut-group/
+  twitter: nick_youngblut
+  linkedin: nicholas-youngblut
+  orcid: 0000-0002-7424-5276
+  intellectual-contributions:
+    - contribution: "Spearheaded the implementation of GitHub actions for automated component tests"
+  affiliations:
+    - title: Group Leader in the Department of Microbiome Science
+      inst: Max Planck Institute for Biology
+      inst_link: http://eb.tuebingen.mpg.de/
+      current: true
diff --git a/anvio/data/misc/KEGG-SNAPSHOTS.yaml b/anvio/data/misc/KEGG-SNAPSHOTS.yaml
index 58f0d0562b..e44b7bbd24 100644
--- a/anvio/data/misc/KEGG-SNAPSHOTS.yaml
+++ b/anvio/data/misc/KEGG-SNAPSHOTS.yaml
@@ -25,6 +25,18 @@ v2020-12-23:
     hash: 45b7cc2e4fdc
     modules_db_version: 2
 
+v2021-12-18:
+    url: https://figshare.com/ndownloader/files/31959416
+    archive_name: KEGG_build_2021-12-18_58937b64c44c.tar.gz
+    hash: 58937b64c44c
+    modules_db_version: 3
+
+v2022-04-14:
+    url: https://figshare.com/ndownloader/files/34817812
+    archive_name: KEGG_build_2022-04-14_666feeac5de2.tar.gz
+    hash: 666feeac5de2
+    modules_db_version: 4
+
 # How to add a new KEGG snapshot to this file:
 # 1. download the latest data directly from KEGG by running
 #    `anvi-setup-kegg-kofams -D --kegg-data-dir ./KEGG`
@@ -33,7 +45,9 @@ v2020-12-23:
 # 3. archive that directory:
 #   `tar -czvf KEGG_build_YYYY-MM-DD_HASH.tar.gz ./KEGG`
 #   Please remember to replace YYYY-MM-DD with the current date and replace HASH with the MODULES.db hash value obtained in step 2
-# 4. Upload the .tar.gz archive to figshare and get the download url
-# 5. Finally, add an entry to the bottom of this file with the url, archive name, and MODULES.db hash and version. You should also update the
+# 4. Test that setup works with this archive by running
+#    `anvi-setup-kegg-kofams --kegg-archive KEGG_build_YYYY-MM-DD_HASH.tar.gz --kegg-data-dir TEST_NEW_KEGG_ARCHIVE`
+# 5. Upload the .tar.gz archive to figshare and get the download url
+# 6. Finally, add an entry to the bottom of this file with the url, archive name, and MODULES.db hash and version. You should also update the
 # default self.target_snapshot variable in kegg.py to point to this latest version that you have added.
-# 6. Test it, and if it works you are done :)
+# 7. Test it by running `anvi-setup-kegg-kofams --kegg-data-dir TEST_NEW_KEGG`, and if it works you are done :)
diff --git a/anvio/data/misc/PEOPLE/AVATARS/bio-dutter.jpg b/anvio/data/misc/PEOPLE/AVATARS/bio-dutter.jpg
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HcmV?d00001

diff --git a/anvio/data/misc/PEOPLE/CONTRIBUTORS.yaml b/anvio/data/misc/PEOPLE/CONTRIBUTORS.yaml
index e5379ffa35..f638080be5 100644
--- a/anvio/data/misc/PEOPLE/CONTRIBUTORS.yaml
+++ b/anvio/data/misc/PEOPLE/CONTRIBUTORS.yaml
@@ -140,3 +140,29 @@
       inst_link: https://www.babs.unsw.edu.au/
       current: true
 
+- github: dutter
+  name: Dan Utter
+  twitter: bajenak
+  web: https://dutter.github.io
+  avatar: bio-dutter.jpg
+  email: bajenak@gmail.com
+  orcid: 0000-0003-3322-7108
+  bio: "Microbial ecologist interested in the evolution and maintenance of diversity in complex natural communities, mostly using bioinformatics"
+  affiliations:
+    - title: Post-doctoral Scientist
+      inst: California Institute of Technology
+      inst_link: https://www.caltech.edu
+      current: true
+
+- github: HMorrison
+  name: Hilary Morrison
+  web: https://www.mbl.edu/research/faculty-and-whitman-scientists/Hilary%20Morrison
+  avatar: bio-morrison.jpg
+  email: hmorrison1981@gmail.com
+  orcid: 0000-0003-0281-326X
+  bio: "A long and winding road to microbial ecology"
+  affiliations:
+    - title: Senior Scientist
+      inst: Marine Biological Laboratory
+      inst_link: https://www.mbl.edu
+      current: true
diff --git a/anvio/data/misc/PEOPLE/README.md b/anvio/data/misc/PEOPLE/README.md
index 1d92396f95..a53bd56594 100644
--- a/anvio/data/misc/PEOPLE/README.md
+++ b/anvio/data/misc/PEOPLE/README.md
@@ -8,9 +8,9 @@ If you are adding a new anvi'o developer or contributor into either
 of these YAML files, please send a PR with the relevant changes,
 which include,
 
-* Edit `DEVELOPERS.yaml` **or** `CONTRIBUTORS.yaml` files to add
-a new entry for the new person (please benefit from previous examples).
-* Add a new photo under the the `AVATARS` directory. It should be
+* **Edit `DEVELOPERS.yaml` _or_ `CONTRIBUTORS.yaml` files to add
+a new entry** for the new person (please benefit from previous examples).
+* **Add a new photo** under the the `AVATARS` directory. It should be
 a 900px x 900px head-shot (see previous examples).
 
 Most fields are optional, but please note that every person mentioned
diff --git a/anvio/db.py b/anvio/db.py
index cc7421f431..f2b6119fa0 100644
--- a/anvio/db.py
+++ b/anvio/db.py
@@ -103,7 +103,7 @@ def __init__(self, db_path, client_version, new_database=False, ignore_version=F
                     progress.reset()
                     raise ConfigError(f"The database at '{self.db_path}' is outdated (this database is v{self.version} and your anvi'o installation "
                                       f"wants to work with v{client_version}). You can migrate your database without losing any data using the "
-                                      f"program `anvi-migrate` with either of the flags `--migrate-dbs-safely` or `--migrate-dbs-quickly`.")
+                                      f"program `anvi-migrate` with either of the flags `--migrate-safely` or `--migrate-quickly`.")
 
             bad_tables = [table_name for table_name in self.table_names_in_db if not tables.is_known_table(table_name)]
             if len(bad_tables):
diff --git a/anvio/dbinfo.py b/anvio/dbinfo.py
index 3e132ae1de..14c9932b25 100644
--- a/anvio/dbinfo.py
+++ b/anvio/dbinfo.py
@@ -127,7 +127,7 @@ def __new__(cls, path, dont_raise=False, expecting=None):
             # Return the respective class that __init__ should be called for
             return super().__new__(dbinfo_classes[db_type])
 
-        raise NotImplementedError(f"db_type {db_type} has no entry in dbinfo_classes")
+        raise NotImplementedError(f"Database type `{db_type}` at `{path}` has no entry in dbinfo_classes")
 
 
     def __init__(self, path):
@@ -146,9 +146,19 @@ def __str__(self):
 
     @staticmethod
     def is_db(path, dont_raise=False):
+        if not path:
+            raise ConfigError("A low-level function was expecting a database path, but got `None`. A programmer "
+                              "needs to look into this :/ Meanwhile, please check your command line parameters. "
+                              "Most likely you need to declare a database path, but you do not. You can see the "
+                              "entire traceback if you include the flag `--debug` in your command, which may "
+                              "help you figure out where did things start going wrong.")
+
         if not os.path.exists(path):
             raise ConfigError(f"There is nothing at '{path}' :/")
 
+        if os.path.isdir(path):
+            raise ConfigError(f"But this is no file?! This is ah directory! :(")
+
         try:
             with DB(path, None, ignore_version=True) as database:
                 if 'self' not in database.get_table_names():
diff --git a/anvio/dbops.py b/anvio/dbops.py
index 21f4fac1f1..d03897dbe0 100644
--- a/anvio/dbops.py
+++ b/anvio/dbops.py
@@ -14,10 +14,17 @@
 import random
 import argparse
 import textwrap
-import multiprocessing
 import itertools
 import scipy.signal
 
+# multiprocess is a fork of multiprocessing that uses the dill serializer instead of pickle
+# using the multiprocessing module directly results in a pickling error in Python 3.10 which
+# goes like this:
+#
+#   >>> AttributeError: Can't pickle local object 'SOMEFUNCTION.<locals>.<lambda>' multiprocessing
+#
+import multiprocess as multiprocessing
+
 from io import StringIO
 from collections import Counter
 
@@ -1663,9 +1670,12 @@ def write_sequences_in_gene_clusters_to_file(self, gene_clusters_dict=None, gene
         self.progress.end()
         output_file.close()
 
-        self.run.info('Sequence type', 'DNA' if report_DNA_sequences else 'Amino acid', mc='green')
+        if len(gene_clusters_dict) == 1:
+            gene_cluster_name = list(gene_clusters_dict.keys())[0]
+            self.run.info('Gene cluster name', gene_cluster_name)
+        self.run.info('Sequence type', 'DNA' if report_DNA_sequences else 'Amino acid')
         self.run.info('Num sequences reported', sequence_counter)
-        self.run.info('Output FASTA file', output_file_path, mc='green')
+        self.run.info('Output FASTA file', output_file_path, mc='green', nl_after=1)
 
 
     def write_sequences_in_gene_clusters_for_phylogenomics(self, gene_clusters_dict=None, skip_alignments=False, \
@@ -2958,6 +2968,9 @@ def create_blank_genes_database(self, split_names):
                        'bin_name': self.bin_names[0],
                        'splits_hash': splits_hash}
 
+        # make sure the GENES directory exists.
+        filesnpaths.gen_output_directory(os.path.dirname(self.genes_db_path), progress=self.progress, run=self.run, delete_if_exists=False, dont_warn=False)
+
         # generate a blank genes database here:
         GenesDatabase(self.genes_db_path).create(meta_values=meta_values)
 
@@ -3811,7 +3824,7 @@ def init(self):
 
         self.meta = dbi(self.db_path, expecting=self.db_type).get_self_table()
 
-        for key in ['num_genomes', 'gene_cluster_min_occurrence', 'use_ncbi_blast', 'diamond_sensitive', 'exclude_partial_gene_calls', \
+        for key in ['num_genomes', 'gene_cluster_min_occurrence', 'use_ncbi_blast', 'exclude_partial_gene_calls', \
                     'num_gene_clusters', 'num_genes_in_gene_clusters', 'gene_alignments_computed', 'items_ordered']:
             try:
                 self.meta[key] = int(self.meta[key])
@@ -4457,10 +4470,29 @@ def compress_nt_position_info(self, contig_length, genes_in_contig, genes_in_con
                     nt_position_info_list[nt_position] = 8
                 continue
 
-            # if the gene stop is identical to the contig length,
-            # just move on:
-            if stop == contig_length:
-                continue
+            # if the gene stop is identical to the contig length, we have to carefully assess
+            # this situation. if we simply say,
+            #
+            #   >>> if stop == contig_length:
+            #   >>>     continue
+            #
+            # then contigs that are solely composed of genes (i.e., gene = contig) ends up being
+            # treated as intergenic regions. but if we skip this step, or say something like
+            # this,
+            #
+            #   >>> if stop == contig_length + 1:
+            #   >>>     continue
+            #
+            # then anvi'o explodes and dies a fiery death as explained at,
+            #
+            #    https://github.com/merenlab/anvio/issues/1943
+            #
+            # SO MUCH HISTORY HERE, BUT WE PAY OUR RISPEKS TO THOSE WHO SHARE REPRODUCIBLE TEST CASES.
+            if stop == contig_length: # checking fo #1661
+                if stop - start == contig_length: # realizing that it is #1943
+                    pass # thanking the gene and sending it along.
+                else: # finding out that it actually is #1661
+                    continue # NEXT
 
             if gene_call['direction'] == 'f':
                 for nt_position in range(start, stop, 3):
@@ -4775,15 +4807,13 @@ def report(self):
 ####################################################################################################
 
 def is_db_ok_to_create(db_path, db_type):
-    if os.path.exists(db_path):
-        raise ConfigError("Anvi'o will not overwrite an existing %s database. Please choose a different name "
-                           "or remove the existing database ('%s') first." % (db_type, db_path))
-
     if not db_path.lower().endswith('.db'):
         raise ConfigError("Please make sure the file name for your new %s db has a '.db' extension. Anvi'o developers "
                            "apologize for imposing their views on how anvi'o databases should be named, and are "
                            "humbled by your cooperation." % db_type)
 
+    filesnpaths.is_output_file_writable(db_path, ok_if_exists=False)
+
 
 def get_auxiliary_data_path_for_profile_db(profile_db_path):
     return os.path.join(os.path.dirname(profile_db_path), 'AUXILIARY-DATA.db')
diff --git a/anvio/docs/__init__.py b/anvio/docs/__init__.py
index e9f70e0c01..a12d27dacb 100644
--- a/anvio/docs/__init__.py
+++ b/anvio/docs/__init__.py
@@ -80,7 +80,7 @@
         "name": "BAM FILE",
         "type": "BAM",
         "provided_by_anvio": False,
-        "provided_by_user":True
+        "provided_by_user": True
     },
     "bam-stats-txt": {
         "name": "BAM STATS TXT",
@@ -88,6 +88,18 @@
         "provided_by_anvio": True,
         "provided_by_user": False
     },
+    "bams-and-profiles-txt": {
+        "name": "BAMS AND PROFILES TXT",
+        "type": "TXT",
+        "provided_by_anvio": False,
+        "provided_by_user": True
+    },
+    "markdown-txt": {
+        "name": "MARKDOWN TXT",
+        "type": "TXT",
+        "provided_by_anvio": True,
+        "provided_by_user": False
+    },
     "protein-structure-txt": {
         "name": "PDB FILE",
         "type": "TXT",
@@ -322,6 +334,18 @@
         "provided_by_anvio": False,
         "provided_by_user": True
     },
+    "palindromes-txt": {
+        "name": "PALINDROMES",
+        "type": "TXT",
+        "provided_by_anvio": True,
+        "provided_by_user": False
+    },
+    "inversions-txt": {
+        "name": "INVERSIONS TXT",
+        "type": "TXT",
+        "provided_by_anvio": True,
+        "provided_by_user": False
+    },
     "phylogeny": {
         "name": "PHYLOGENY",
         "type": "NEWICK",
@@ -370,6 +394,18 @@
         "provided_by_anvio": True,
         "provided_by_user": False
     },
+    "functions-across-genomes-txt": {
+        "name": "FUNCTIONS ACROSS GENOMES",
+        "type": "TXT",
+        "provided_by_anvio": True,
+        "provided_by_user": False
+    },
+    "hmm-hits-across-genomes-txt": {
+        "name": "HMM HITS ACROSS GENOMES",
+        "type": "TXT",
+        "provided_by_anvio": True,
+        "provided_by_user": False
+    },
     "interactive": {
         "name": "INTERACTIVE DISPLAY",
         "type": "DISPLAY",
@@ -490,6 +526,12 @@
         "provided_by_anvio": True,
         "provided_by_user": True
     },
+    "variability-profile-xml": {
+        "name": "VARIABILITY NETWORK",
+        "type": "XML",
+        "provided_by_anvio": True,
+        "provided_by_user": True
+    },
     "codon-frequencies-txt": {
         "name": "CODON FREQUENCIES",
         "type": "TXT",
@@ -598,12 +640,6 @@
         "provided_by_anvio": True,
         "provided_by_user": False
     },
-    "hmm-hits-matrix-txt": {
-        "name": "HMM HITS MATRIX",
-        "type": "TXT",
-        "provided_by_anvio": True,
-        "provided_by_user": False
-    },
     "pn-ps-data": {
         "name": "PN/PS OUTPUT",
         "type": "CONCEPT",
@@ -663,5 +699,17 @@
         "type" : "DISPLAY",
         "provided_by_anvio" : True,
         "provided_by_user" : False
+    },
+    "enzymes-txt": {
+        "name": "ENZYMES TXT",
+        "type": "TXT",
+        "provided_by_anvio": False,
+        "provided_by_user":True
+    },
+    "enzymes-list-for-module": {
+        "name": "ENZYMES LIST",
+        "type": "TXT",
+        "provided_by_anvio": False,
+        "provided_by_user":True
     }
 }
diff --git a/anvio/docs/artifacts/bams-and-profiles-txt.md b/anvio/docs/artifacts/bams-and-profiles-txt.md
new file mode 100644
index 0000000000..c5bc9d4588
--- /dev/null
+++ b/anvio/docs/artifacts/bams-and-profiles-txt.md
@@ -0,0 +1,30 @@
+A **TAB-delimited** file to describe anvi'o %(single-profile-db)s and %(bam-file)s pairs along with the %(contigs-db)s used the profile the BAM file.
+
+This file type includes required and optional columns. The following four columns are **required** for this file type:
+
+* `name`: a single-word name for the entry.
+* `contigs_db_path`: path to a %(contigs-db)s.
+* `bam_file_path`: path to a %(bam-file)s.
+* `profile_db_path`: path to a %(single-profile-db)s generated from the BAM file and the contigs database mentioned.
+
+### Example
+
+Here is an example file:
+
+|name|contigs_db_path|profile_db_path|bam_file_path|
+|:--|:--:|:--:|:--:|
+|D01|CONTIGS.db|D01/PROFILE.db|D01.bam|
+|R01|CONTIGS.db|R01/PROFILE.db|R01.bam|
+|R02|CONTIGS.db|R02/PROFILE.db|R02.bam|
+
+### Optional columns
+
+In addition to the required columns shown above, you can add as many columns as you like in your file. But two of these columns will be further processed during sanity check: `r1` and `r2`, whith the expectation that these columns will include information regarding the location of the raw FASTQ files. For each row the %(bams-and-profiles-txt)s file describes, the FASTQ files must be those that were used to generate the BAM files. Here is an example file with these two additional columns: 
+
+|name|contigs_db_path|profile_db_path|bam_file_path|r1|r2|
+|:--|:--:|:--:|:--:|:--:|:--:|
+|D01|CONTIGS.db|D01/PROFILE.db|D01.bam|D01-R1.fastq|D01-R2.fastq|
+|R01|CONTIGS.db|R01/PROFILE.db|R01.bam|R01-R1.fastq|R01-R2.fastq|
+|R02|CONTIGS.db|R02/PROFILE.db|R02.bam|R02-R1.fastq|R02-R2.fastq|
+
+Some programs, such as %(anvi-report-inversions)s, can process the `r1` and `r2` files.
diff --git a/anvio/docs/artifacts/contigs-db.md b/anvio/docs/artifacts/contigs-db.md
index 55638383dc..926f70dbb5 100644
--- a/anvio/docs/artifacts/contigs-db.md
+++ b/anvio/docs/artifacts/contigs-db.md
@@ -4,6 +4,10 @@ In a way, **an anvi'o contigs database is a modern, more talented form of a FAST
 
 The information a contigs database contains about its sequences include the positions of open reading frames, tetra-nucleotide frequencies, functional and taxonomic annotations, information on individual nucleotide or amino acid positions, and more.
 
+Here is a graphic that shows what sort of information goes into the contigs database (and also the %(profile-db)s):
+
+![Contents of the contigs and profile databases](../../images/contigs-profile-db.png)
+
 ### Another (less computation-heavy) way of thinking about it
 
 When working in anvi'o, you'll need to be able to access previous analysis done on a genome or transcriptome. To do this, anvi'o uses tools like contigs databases instead of regular fasta files. So, you'll want to convert the data that you have into a contigs database to use other anvi'o programs (using %(anvi-gen-contigs-database)s). As seen on the page for %(metagenomes)s, you can then use this contigs database instead of your fasta file for all of your anvi'o needs.
diff --git a/anvio/docs/artifacts/enzymes-list-for-module.md b/anvio/docs/artifacts/enzymes-list-for-module.md
new file mode 100644
index 0000000000..85e836f700
--- /dev/null
+++ b/anvio/docs/artifacts/enzymes-list-for-module.md
@@ -0,0 +1,13 @@
+This is a 3-column, tab-delimited file that lists the enzymes to be included in a user-defined metabolic module. It is used as input to %(anvi-script-gen-user-module-file)s, which will create a module file using the enzyme definitions within the file.
+
+The first column in this file must be an enzyme accession, the second column must be the annotation source of the enzyme, and the third column specifies the orthology (or functional definition) of the enzyme. Note that if the annotation source is 'KOfam' and the enzyme is a KEGG Ortholog that is present in the KEGG KOfam profiles in %(kegg-data)s, then the orthology field can be blank. In this case, the orthology field will be filled in automatically with the enzyme's known orthology in the KOfam data.
+
+Here is an example file:
+
+|**enzyme**|**source**|**orthology**|
+|:--|:--|:--|
+|K01657|KOfam||
+|K01658|KOfam||
+|PF06603.14|METABOLISM_HMM|UpxZ|
+|COG1362|COG20_FUNCTION|Aspartyl aminopeptidase|
+|TIGR01709.2|TIGRFAM|type II secretion system protein GspL|
diff --git a/anvio/docs/artifacts/external-genomes.md b/anvio/docs/artifacts/external-genomes.md
index ab7ccffd03..c3d5d761f7 100644
--- a/anvio/docs/artifacts/external-genomes.md
+++ b/anvio/docs/artifacts/external-genomes.md
@@ -1,6 +1,15 @@
-An external genome is any genome assembly that was converted into a %(contigs-db)s from its original FASTA file format using the program %(anvi-gen-contigs-database)s. You can obtain one of these in a variety of ways, the most common being 1) downloading a genome from a database such as NCBI and 2) assembling a genome yourself from sequencing reads. The key thing is that the sequences in the %(contigs-db)s represent a _single_ microbial population (or species, if you are not working with microbes) - ie, it is not a metagenome.
+In the anvi'o lingo, an external genome is any %(contigs-db)s generated from a FASTA file that describes a single genome for a single microbial population (and not a metagenome).
 
-The external genomes file format enables anvi'o to work with one or more external genomes. A TAB-delimited external genomes file will be composed of at least the following two columns:
+The purpose of the external genomes file is to describe one or more external genomes, so this file can be passed to anvi'o programs that can operate on multiple genomes.
+
+For a given set of %(contigs-db)s files, you can generate an external-genomes file automatically using the program %(anvi-script-gen-genomes-file)s. Alternatively, you can manually create the file using a text editor, or a program like EXCEL.
+
+The external-genomes file is a TAB-delimited file with at least two columns (you can add more columns to this file, and anvi'o will not mind):
+
+* `name`. The name of the external genome. You can call it anything, but you should keep it to a single word witout any spaces or funny characters.
+* `contigs_db_path`. The full path to each %(contigs-db)s file (tip: the command `pwd` will tell you the full path to the directory you are in).
+
+The format of the file should look like this:
 
 |name|contigs_db_path|
 |:--|:--|
diff --git a/anvio/docs/artifacts/functions-across-genomes-txt.md b/anvio/docs/artifacts/functions-across-genomes-txt.md
new file mode 100644
index 0000000000..a42c629fe4
--- /dev/null
+++ b/anvio/docs/artifacts/functions-across-genomes-txt.md
@@ -0,0 +1,59 @@
+A TAB-delimited output file that describes the distribution of functions across a group of genomes.
+
+## General format
+
+With this file type anvi'o may describe the presence-absence of individual functions across genomes, or the frequency of functions. The header of the last column in a %(functions-across-genomes-txt)s file will be the name of the function annotation source from which the gene functions were recovered.
+
+### Frequency of function hits across genomes
+
+Here is an example output file that shows the frequency of functions across 9 _Bifidobacterium_ genomes:
+
+|**key**|**B_adolescentis_1_11**|**B_adolescentis_22L**|**B_adolescentis_6**|**B_lactis_Bl_04**|**B_lactis_CNCM_I_2494**|**B_lactis_DSM_10140**|**B_longum_JDM301**|**B_longum_KACC_91563**|**B_longum_NCIMB8809**|**COG20_FUNCTION**|
+|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|
+|`func_3874a4219ffa`|1|1|1|1|1|1|1|1|1|Chromosomal replication initiation ATPase DnaA (DnaA) (PDB:1L8Q)|
+|`func_1530552f6b61`|1|1|1|1|1|1|1|1|1|DNA polymerase III sliding clamp (beta) subunit, PCNA homolog (DnaN) (PDB:1JQJ)|
+|`func_060988dd6d3a`|1|1|1|1|1|1|1|1|1|Recombinational DNA repair ATPase RecF (RecF) (PDB:5Z67)|
+|`func_46477a763d38`|1|1|1|1|1|1|1|1|1|Predicted  nucleic acid-binding protein, contains Zn-ribbon domain (includes truncated derivatives)|
+|`func_184ca83fe067`|2|2|2|2|2|2|2|2|2|DNA gyrase/topoisomerase IV, subunit B (GyrB) (PDB:1EI1)|
+|`func_2ee67347f04b`|2|2|2|2|2|2|2|2|2|DNA gyrase/topoisomerase IV, subunit A (GyrA) (PDB:1SUU)|
+|`func_ff160914972f`|1|0|0|0|0|0|3|1|1|Predicted ATPase, archaeal AAA+ ATPase superfamily|
+|`func_598325c18ceb`|1|0|0|0|0|0|1|1|1|Molybdopterin or thiamine biosynthesis adenylyltransferase (ThiF) (PDB:1ZUD) (PUBMED:32239579)|
+|`func_8ce5ff84aa42`|14|13|13|10|10|10|22|17|16|Predicted arabinose efflux permease AraJ, MFS family (AraJ) (PDB:4LDS)|
+|`func_300e2c6e37e4`|1|1|1|1|1|1|1|1|1|Glutamate dehydrogenase/leucine dehydrogenase (GdhA) (PDB:1B3B) (PUBMED:24391520)|
+|`func_a666bc87a03f`|1|1|1|1|1|1|1|1|1|Large-conductance mechanosensitive channel (MscL) (PDB:2OAR)|
+|`func_71379d89f0c6`|1|1|1|1|1|1|1|1|1|UTP pyrophosphatase, metal-dependent hydrolase family (YgjP) (PDB:4JIU) (PUBMED:27941785)|
+|`func_772efbb7cb2e`|2|2|2|2|2|2|2|2|2|Hemolysin-related protein, contains CBS domains, UPF0053 family (TlyC) (PDB:2NQW)|
+|`func_5a5bf9735c8a`|1|1|1|1|1|1|1|1|1|Carbonic anhydrase (CynT) (PDB:1EKJ) (PUBMED:22081392)|
+|`func_1ffc26d0034f`|4|4|1|3|3|3|12|13|2|Transposase (or an inactivated derivative) (IS285)|
+|`func_0631d9fecae6`|2|1|1|1|1|1|2|1|1|Phosphoenolpyruvate carboxylase (Ppc) (PDB:1FIY)|
+|`func_62068e09f9f3`|2|1|1|0|0|0|1|1|1|Chromosome segregation ATPase Smc (Smc) (PDB:5XG3)|
+|`func_f4b8779f6ad8`|2|0|0|0|0|0|0|0|0|Peptidoglycan-binding (PGRP) domain of peptidoglycan hydrolases (PGRP) (PDB:4FET)|
+|`func_700652d0a2dd`|1|1|1|1|1|1|1|1|1|Uncharacterized membrane protein YjjP, DUF1212 family (YjjP)|
+|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|
+
+### Presence/absence of function hits across genomes
+
+In contrast, here is the presence/absence report for the same data:
+
+|**key**|**B_adolescentis_1_11**|**B_adolescentis_22L**|**B_adolescentis_6**|**B_lactis_Bl_04**|**B_lactis_CNCM_I_2494**|**B_lactis_DSM_10140**|**B_longum_JDM301**|**B_longum_KACC_91563**|**B_longum_NCIMB8809**|**COG20_FUNCTION**|
+|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|
+|`func_3874a4219ffa`|1|1|1|1|1|1|1|1|1|Chromosomal replication initiation ATPase DnaA (DnaA) (PDB:1L8Q)|
+|`func_1530552f6b61`|1|1|1|1|1|1|1|1|1|DNA polymerase III sliding clamp (beta) subunit, PCNA homolog (DnaN) (PDB:1JQJ)|
+|`func_060988dd6d3a`|1|1|1|1|1|1|1|1|1|Recombinational DNA repair ATPase RecF (RecF) (PDB:5Z67)|
+|`func_46477a763d38`|1|1|1|1|1|1|1|1|1|Predicted  nucleic acid-binding protein, contains Zn-ribbon domain (includes truncated derivatives)|
+|`func_184ca83fe067`|1|1|1|1|1|1|1|1|1|DNA gyrase/topoisomerase IV, subunit B (GyrB) (PDB:1EI1)|
+|`func_2ee67347f04b`|1|1|1|1|1|1|1|1|1|DNA gyrase/topoisomerase IV, subunit A (GyrA) (PDB:1SUU)|
+|`func_ff160914972f`|1|0|0|0|0|0|1|1|1|Predicted ATPase, archaeal AAA+ ATPase superfamily|
+|`func_598325c18ceb`|1|0|0|0|0|0|1|1|1|Molybdopterin or thiamine biosynthesis adenylyltransferase (ThiF) (PDB:1ZUD) (PUBMED:32239579)|
+|`func_8ce5ff84aa42`|1|1|1|1|1|1|1|1|1|Predicted arabinose efflux permease AraJ, MFS family (AraJ) (PDB:4LDS)|
+|`func_300e2c6e37e4`|1|1|1|1|1|1|1|1|1|Glutamate dehydrogenase/leucine dehydrogenase (GdhA) (PDB:1B3B) (PUBMED:24391520)|
+|`func_a666bc87a03f`|1|1|1|1|1|1|1|1|1|Large-conductance mechanosensitive channel (MscL) (PDB:2OAR)|
+|`func_71379d89f0c6`|1|1|1|1|1|1|1|1|1|UTP pyrophosphatase, metal-dependent hydrolase family (YgjP) (PDB:4JIU) (PUBMED:27941785)|
+|`func_772efbb7cb2e`|1|1|1|1|1|1|1|1|1|Hemolysin-related protein, contains CBS domains, UPF0053 family (TlyC) (PDB:2NQW)|
+|`func_5a5bf9735c8a`|1|1|1|1|1|1|1|1|1|Carbonic anhydrase (CynT) (PDB:1EKJ) (PUBMED:22081392)|
+|`func_1ffc26d0034f`|1|1|1|1|1|1|1|1|1|Transposase (or an inactivated derivative) (IS285)|
+|`func_0631d9fecae6`|1|1|1|1|1|1|1|1|1|Phosphoenolpyruvate carboxylase (Ppc) (PDB:1FIY)|
+|`func_62068e09f9f3`|1|1|1|0|0|0|1|1|1|Chromosome segregation ATPase Smc (Smc) (PDB:5XG3)|
+|`func_f4b8779f6ad8`|1|0|0|0|0|0|0|0|0|Peptidoglycan-binding (PGRP) domain of peptidoglycan hydrolases (PGRP) (PDB:4FET)|
+|`func_700652d0a2dd`|1|1|1|1|1|1|1|1|1|Uncharacterized membrane protein YjjP, DUF1212 family (YjjP)|
+|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|
diff --git a/anvio/docs/artifacts/hmm-hits-matrix-txt.md b/anvio/docs/artifacts/hmm-hits-across-genomes-txt.md
similarity index 100%
rename from anvio/docs/artifacts/hmm-hits-matrix-txt.md
rename to anvio/docs/artifacts/hmm-hits-across-genomes-txt.md
diff --git a/anvio/docs/artifacts/internal-genomes.md b/anvio/docs/artifacts/internal-genomes.md
index e4bd713e56..680b68ee11 100644
--- a/anvio/docs/artifacts/internal-genomes.md
+++ b/anvio/docs/artifacts/internal-genomes.md
@@ -1,6 +1,8 @@
-An internal genome is any %(bin)s described in an anvi'o %(collection)s stored in an anvi'o %(profile-db)s. You can obtain one of these by binning a metagenome assembly (stored in an anvi'o %(contigs-db)s), which you can do either manually in the interactive interface or automatically with a binning software, and saving or importing it into a %(collection)s.
+In the anvi'o lingo, an internal genome is any %(bin)s stored in an anvi'o %(collection)s that describes a single genome. You can obtain one of these by binning a metagenome manually in the interactive interface, automatically using a binning software, or by importing a %(collection)s into anvi'o using the program %(anvi-import-collection)s.
 
-The internal genomes file format enables anvi'o to work with one or more bins from one or more collections that may be defined in different anvi'o %(profile-db)s files. A TAB-delimited internal genomes file will be composed of at least the following five columns:
+The purpose of the external genomes file is to describe one or more internal genomes genomes, so this file can be passed to anvi'o programs that can operate on multiple genomes. The internal genomes file format enables anvi'o programs to work with one or more bins from one or more collections that may be defined in different anvi'o %(profile-db)s files.
+
+The internal-genomes file is a TAB-delimited file with at least the following five columns:
 
 |name|bin_id|collection_id|profile_db_path|contigs_db_path|
 |:--|:--:|:--:|:--|:--|
diff --git a/anvio/docs/artifacts/kegg-data.md b/anvio/docs/artifacts/kegg-data.md
index c8f0c8bfb6..b2ef0b5b67 100644
--- a/anvio/docs/artifacts/kegg-data.md
+++ b/anvio/docs/artifacts/kegg-data.md
@@ -1,11 +1,11 @@
 A **directory of data** downloaded from the [KEGG database resource](https://www.kegg.jp/) for use in function annotation and metabolism estimation.
 
-It is created by running the program %(anvi-setup-kegg-kofams)s. Not everything from KEGG is included in this directory, only the information relevant to downstream programs. The most critical components of this directory are KOfam HMM profiles and the %(modules-db)s which contains information on metabolic pathways as described in the [KEGG MODULES resource](https://www.genome.jp/kegg/module.html).
+It is created by running the program %(anvi-setup-kegg-kofams)s. Not everything from KEGG is included in this directory, only the information relevant to downstream programs. The most critical components of this directory are KOfam HMM profiles and the %(modules-db)s which contains information on metabolic pathways as described in the [KEGG MODULES resource](https://www.genome.jp/kegg/module.html), as well as functional classification hierarchies from [KEGG BRITE](https://www.genome.jp/kegg/brite.html).
 
 Programs that rely on this data directory include %(anvi-run-kegg-kofams)s and %(anvi-estimate-metabolism)s.
 
 ## Directory Location
-The default location of this data is in the anvi'o folder, at `anvio/anvio/data/misc/KEGG/`. 
+The default location of this data is in the anvi'o folder, at `anvio/anvio/data/misc/KEGG/`.
 
 You can change this location when you run %(anvi-setup-kegg-kofams)s by providing a different path to the `--kegg-data-dir` parameter:
 
@@ -24,6 +24,7 @@ KEGG
  |- MODULES.db
  |- ko_list.txt
  |- modules.keg
+ |- hierarchies.json
  |- HMMs
  |   |- Kofam.hmm
  |   |- Kofam.hmm.h3f
@@ -34,15 +35,31 @@ KEGG
  |   |- M00002
  |   |- (....)
  |
+ |- BRITE
+ |   |- ko00001
+ |   |- ko00194
+ |   |- (....)
+ |
  |- orphan_data
      |- 01_ko_fams_with_no_threshold.txt
      |- 02_hmm_profiles_with_ko_fams_with_no_threshold.hmm
 
 ```
 
-Typically, users will not have to work directly with any of these files, as downstream programs will interface directly with the %(modules-db)s. 
+### What is this data?
+
+Typically, users will not have to work directly with any of these files, as downstream programs will interface directly with the %(modules-db)s.
+
+However, for the curious, here is a description of each component in this data directory:
+- `ko_list.txt`: a tab-delimited file from the [KEGG KOfam](https://www.genome.jp/ftp/db/kofam/) resource that describes the KOfam profile for each KEGG Ortholog (KO). It contains information like the bitscore threshold (used to differentiate between 'good' and 'bad' hits when annotating sequences), the function definition, and various data about the sequences used to generate the profile.
+- The `HMMs` subfolder: contains a file of concatentated KOfam profiles (also originally downloaded from [KEGG](https://www.genome.jp/ftp/db/kofam/)), as well as the indexes for this file.
+- The `orphan_data` subfolder: contains KOfam profiles for KOs that do not have a bitscore threshold in the `ko_list.txt` file (in the `.hmm` file) and their corresponding entries in from the `ko_list.txt` file (in `01_ko_fams_with_no_threshold.txt`). Please note that KOs from the `orphan_data` directory will *not* be annotated in your %(contigs-db)s when you run %(anvi-run-kegg-kofams)s. However, if you ever need to take a look at these profiles or use them in any way, here they are. :)
+- `modules.keg`: a flat text file describing all metabolic modules available in the [KEGG MODULE](https://www.genome.jp/kegg/module.html) resource. This includes pathway and signature modules, but not reaction modules.
+- The `modules` subfolder: contains flat text files, one for each metabolic module, downloaded using the [KEGG REST API](https://www.kegg.jp/kegg/rest/keggapi.html). Each file describes a metabolic module's definition, classification, component orthologs, metabolic reactions, compounds, and any miscellaneous data like references and such. For an example, see the [module file for M00001](https://rest.kegg.jp/get/M00001/).
+- `hierarchies.json`: a JSON-formatted file describing the available functional hierarchies in the [KEGG BRITE](https://www.genome.jp/kegg/brite.html) resource.
+- The `BRITE` subfolder: contains JSON-formatted files, each one of which describes a BRITE hierarchy.
+- `MODULES.db`: a SQLite database containing data parsed from the module files and BRITE hierarchies. See %(modules-db)s.
 
-However, for the curious:
-`ko_list.txt`, `modules.keg`, and all files in the `modules` subfolder are flat text files downloaded from the [KEGG website](https://www.genome.jp/kegg/). The data in these files are processed and organized into the %(modules-db)s for easier programmatic access. 
+### How do we use it?
 
-The `HMMs` subfolder contains a file of concatentated KOfam profiles (also originally downloaded from [KEGG](https://www.genome.jp/ftp/db/kofam/)), as well as the indexes for this file. Some KOfam profiles do not have a score threshold in the `ko_list.txt` file - these profiles and their corresponding entries from that file live in the `orphan_data` directory. Please note that KOs from the `orphan_data` directory will *not* be annotated in your %(contigs-db)s when you run %(anvi-run-kegg-kofams)s.
+The KOfam profiles are used directly by %(anvi-run-kegg-kofams)s for annotating genes with KEGG Orthologs. The MODULE and BRITE data in the above files are processed and organized into the %(modules-db)s for easier programmatic access. %(anvi-run-kegg-kofams)s uses this database to annotate genes with BRITE categories and with the modules they participate in, when relevant. %(anvi-estimate-metabolism)s uses this database to get module information when computing completeness scores for each metabolic module.
diff --git a/anvio/docs/artifacts/kegg-metabolism.md b/anvio/docs/artifacts/kegg-metabolism.md
index 7cb7193633..9dc6b15516 100644
--- a/anvio/docs/artifacts/kegg-metabolism.md
+++ b/anvio/docs/artifacts/kegg-metabolism.md
@@ -13,24 +13,35 @@ The long-format output option produces tab-delimited files. Each line in the fil
 
 The `modules` mode output file will have the suffix `modules.txt`. Each line in the file will represent information about a KEGG module in a given genome, bin, or contig of a metagenome assembly. Here is one example, produced by running metabolism estimation on the [Infant Gut dataset](http://merenlab.org/tutorials/infant-gut/):
 
-| unique_id | db_name | genome_name | kegg_module | module_name | module_class | module_category | module_subcategory | module_definition | module_completeness | module_is_complete | kofam_hits_in_module | gene_caller_ids_in_module | warnings |
-|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|
-| 0 | E_faecalis_6240 | Enterococcus_faecalis_6240 | M00001 | Glycolysis (Embden-Meyerhof pathway), glucose => pyruvate | Pathway modules | Carbohydrate metabolism | Central carbohydrate metabolism | """(K00844,K12407,K00845,K00886,K08074,K00918) (K01810,K06859,K13810,K15916) (K00850,K16370,K21071,K00918) (K01623,K01624,K11645,K16305,K16306) K01803 ((K00134,K00150) K00927,K11389) (K01834,K15633,K15634,K15635) K01689 (K00873,K12406)""" | 1.0 | True | K01834,K00134,K00873,K01689,K01624,K01803,K00927,K00850,K01810,K00845 | 2342,2646,1044,642,226,1041,348,1042,1043,225,600,1608 | None |
-| 1 | E_faecalis_6240 | Enterococcus_faecalis_6240 | M00002 | Glycolysis, core module involving three-carbon compounds | Pathway modules | Carbohydrate metabolism | Central carbohydrate metabolism | """K01803 ((K00134,K00150) K00927,K11389) (K01834,K15633,K15634,K15635) K01689 (K00873,K12406)""" | 1.0 | True |K01834,K00134,K00873,K01689,K01803,K00927 | 2342,2646,1044,642,226,1041,1042,1043 | None |
-|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|
+|**module**|**genome_name**|**db_name**|**module_name**|**module_class**|**module_category**|**module_subcategory**|**module_definition**|**stepwise_module_completeness**|**stepwise_module_is_complete**|**pathwise_module_completeness**|**pathwise_module_is_complete**|**proportion_unique_enzymes_present**|**enzymes_unique_to_module**|**unique_enzymes_hit_counts**|**enzyme_hits_in_module**|**gene_caller_ids_in_module**|**warnings**|
+|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|
+|M00001|Enterococcus_faecalis_6240|E_faecalis_6240|Glycolysis (Embden-Meyerhof pathway), glucose => pyruvate|Pathway modules|Carbohydrate metabolism|Central carbohydrate metabolism|"(K00844,K12407,K00845,K25026,K00886,K08074,K00918) (K01810,K06859,K13810,K15916) (K00850,K16370,K21071,K00918) (K01623,K01624,K11645,K16305,K16306) K01803 ((K00134,K00150) K00927,K11389) (K01834,K15633,K15634,K15635) K01689 (K00873,K12406)"|1.0|True|1.0|True|NA|No enzymes unique to module|NA|K00134,K00134,K00850,K00873,K00927,K01624,K01689,K01803,K01803,K01810,K01834,K01834,K25026|1044,642,225,226,1043,348,1041,1042,1043,600,2342,2646,1608|K00850 is present in multiple modules: M00001/M00345,K00927 is present in multiple modules: M00001/M00002/M00003/M00308/M00552/M00165/M00166/M00611/M00612,K00873 is present in multiple modules: M00001/M00002,K01689 is present in multiple modules: M00001/M00002/M00003/M00346,K01624 is present in multiple modules: M00001/M00003/M00165/M00167/M00345/M00344/M00611/M00612,K01803 is present in multiple modules: M00001/M00002/M00003,K00134 is present in multiple modules: M00001/M00002/M00003/M00308/M00552/M00165/M00166/M00611/M00612,K01834 is present in multiple modules: M00001/M00002/M00003,K25026 is present in multiple modules: M00001/M00549/M00909,K01810 is present in multiple modules: M00001/M00004/M00892/M00909|
+|M00002|Enterococcus_faecalis_6240|E_faecalis_6240|Glycolysis, core module involving three-carbon compounds|Pathway modules|Carbohydrate metabolism|Central carbohydrate metabolism|"K01803 ((K00134,K00150) K00927,K11389) (K01834,K15633,K15634,K15635) K01689 (K00873,K12406)"|1.0|True|1.0|True|NA|No enzymes unique to module|NA|K00134,K00134,K00873,K00927,K01689,K01803,K01803,K01834,K01834|1044,642,226,1043,1041,1042,1043,2342,2646|K00927 is present in multiple modules: M00001/M00002/M00003/M00308/M00552/M00165/M00166/M00611/M00612,K00873 is present in multiple modules: M00001/M00002,K01689 is present in multiple modules: M00001/M00002/M00003/M00346,K01803 is present in multiple modules: M00001/M00002/M00003,K00134 is present in multiple modules: M00001/M00002/M00003/M00308/M00552/M00165/M00166/M00611/M00612,K01834 is present in multiple modules: M00001/M00002/M00003|
+|M00003|Enterococcus_faecalis_6240|E_faecalis_6240|Gluconeogenesis, oxaloacetate => fructose-6P|Pathway modules|Carbohydrate metabolism|Central carbohydrate metabolism|"(K01596,K01610) K01689 (K01834,K15633,K15634,K15635) K00927 (K00134,K00150) K01803 ((K01623,K01624,K11645) (K03841,K02446,K11532,K01086,K04041),K01622)"|0.8571428571428571|True|0.875|True|NA|No enzymes unique to module|NA|K00134,K00134,K00927,K01624,K01689,K01803,K01803,K01834,K01834,K04041|1044,642,1043,348,1041,1042,1043,2342,2646,617|K04041 is present in multiple modules: M00003/M00611/M00612,K00927 is present in multiple modules: M00001/M00002/M00003/M00308/M00552/M00165/M00166/M00611/M00612,K01689 is present in multiple modules: M00001/M00002/M00003/M00346,K01624 is present in multiple modules: M00001/M00003/M00165/M00167/M00345/M00344/M00611/M00612,K01803 is present in multiple modules: M00001/M00002/M00003,K00134 is present in multiple modules: M00001/M00002/M00003/M00308/M00552/M00165/M00166/M00611/M00612,K01834 is present in multiple modules: M00001/M00002/M00003|
+|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|
 
 What are the data in each of these columns?
 
 - `unique_id`: a unique integer to identify the row
 - `db_name`: the name of the contigs database from which this data comes (only appears in output from multi-mode, in which multiple DBs are processed at once)
-- `genome_name`/`bin_name`/`contig_name`: the identifier for the current sample, whether that is a genome, bin, or contig from a metagenome assembly
-- `kegg_module`: the KEGG MODULE number for a metabolic pathway
-- `module_name`/`module_class`/`module_category`/`module_subcategory`/`module_definition`: metabolic pathway information from the KEGG MODULE database
-- `module_completeness`: a fraction between 0 and 1 indicating the proportion of steps in the metabolic pathway that have an associated KO annotation. To learn how this number is calculated, see [the anvi-estimate-metabolism help page](https://merenlab.org/software/anvio/help/main/programs/anvi-estimate-metabolism/#how-is-the-module-completeness-score-calculated)
-- `module_is_complete`: a boolean value indicating whether the `module_completeness` score is above a certain threshold or not (the default threshold is 0.75)
-- `kofam_hits_in_module`: a comma-separated list of the KO annotations that were found in the current sample and contribute to this metabolic pathway (these will be KOs from the metabolic pathway definition in the `module_definition` column)
-- `gene_caller_ids_in_module`: a comma-separated list of the genes with KO annotations that contribute to this pathway, in the same order as the annotations in the `kofam_hits_in_module` column
-- `warnings`: miscellaneous caveats to consider when interpreting the `module_completeness` score. For example, a warning like "No KOfam profile for K00172" would indicate that we cannot annotate K00172 because we have no HMM profile for that gene family, which means that any metabolic pathway containing this KO can never be fully complete (even if a gene from that family does exist in your sequences). Extra caution should be taken when considering the completeness of modules with warnings
+- `module_name`/`module_class`/`module_category`/`module_subcategory`/`module_definition`: metabolic pathway information, from the KEGG MODULE database or from user-defined metabolic modules
+- `stepwise_module_completeness`/`pathwise_module_completeness`: a fraction between 0 and 1 indicating the proportion of steps in the metabolic pathway that have an associated enzyme annotation. There are currently two strategies for defining the 'steps' in a metabolic pathway - 'stepwise' and 'pathwise'. To learn how these numbers are calculated, see [the anvi-estimate-metabolism help page](https://anvio.org/help/main/programs/anvi-estimate-metabolism/#technical-details)
+- `stepwise_module_is_complete`/`pathwise_module_is_complete`: a Boolean value indicating whether the corresponding `module_completeness` score is above a certain threshold or not (the default threshold is 0.75)
+- `proportion_unique_enzymes_present`: some enzymes only belong to one metabolic pathway, which means that their presence is a better indicator for the presence of a metabolic capacity than other enzymes that are shared across multiple pathways. This column contains the fraction of these unique enzymes that are present in the sample. For instance, if the module has only 1 unique enzyme and it is present, you will see a 1 in this column. You can find out the denominator of this fraction (ie, the number of unique enzymes for this module) by either calculating the length of the list in the `enzymes_unique_to_module` column, or by requesting custom modules mode output with the `unique_enzymes_context_string` header
+- `enzymes_unique_to_module`: a comma-separated list of the enzymes that only belong to the current module (ie, are not shared across multiple metabolic pathways)
+- `unique_enzymes_hit_counts`: a comma-separated list of how many times each unique enzyme appears in the sample, in the same order as the `enzymes_unique_to_module` list
+- `enzyme_hits_in_module`: a comma-separated list of the enzyme annotations that were found in the current sample and contribute to this metabolic pathway (these will be enzymes from the metabolic pathway definition in the `module_definition` column)
+- `gene_caller_ids_in_module`: a comma-separated list of the genes with enzyme annotations that contribute to this pathway, in the same order as the annotations in the `enzyme_hits_in_module` column
+- `warnings`: miscellaneous caveats to consider when interpreting the `module_completeness` scores. For example, a warning like "No KOfam profile for K00172" would indicate that we cannot annotate K00172 because we have no HMM profile for that gene family, which means that any metabolic pathway containing this KO can never be fully complete (even if a gene from that family does exist in your sequences). Seeing many warnings like "K01810 is present in multiple modules: M00001/M00004/M00892/M00909" indicates that the current module shares many enzymes with other metabolic pathways, meaning that it may appear to be complete only because its component enzymes are common. Extra caution should be taken when considering the completeness of modules with warnings
+
+**Module copy number values in the output**
+
+If you use the flag `--add-copy-number` when running %(anvi-estimate-metabolism)s, you will see three additional columns describing the estimated copy number of each module: `pathwise_copy_number`, `stepwise_copy_number`, and `per_step_copy_numbers`.
+- `pathwise_copy_number` is the number of 'complete' copies of the path through the module with the highest (pathwise) completeness score, where 'complete' here means 'greater than or equal to the module completeness threshold'. If there are multiple paths through the module with the highest pathwise completeness score, we take the maximum copy number of all of these paths.
+- `stepwise_copy_number` is the minimum number of times we see each top-level step in the module.
+- `per_step_copy_numbers` is a comma-separated list of the copy number of each individual top-level step in the module. It is meant to be used for interpreting the stepwise copy number (which is simply the minimum of this list).
+
+A discussion of how copy numbers are computed can be found [here](https://anvio.org/help/main/programs/anvi-estimate-metabolism/#technical-details).
 
 **Coverage and detection values in the output**
 
@@ -42,13 +53,16 @@ If you use the flag `--add-coverage` and provide a profile database, additional
 
 In this mock example, the module in this row has four gene calls in it. The `SAMPLE_1_gene_coverages` column lists the mean coverage of each of those genes in SAMPLE_1 (in the same order as the gene calls are listed in the `gene_caller_ids_in_module` column), and the `SAMPLE_1_avg_coverage` column holds the average of these values. As you probably expected, the `detection` columns are similarly defined, except that they contain detection values instead of coverage.
 
-### 'KOfam Hits in Modules' Mode
+{:.warning}
+The 'hits_in_modules' output mode has been deprecated as of anvi'o `v7.1-dev`. If you have one of these output files and need information about it, you should look in the documentation pages for anvi'o `v7`. If you would like to obtain a similar output, the closest available is 'module_paths' mode.
+
+### 'Module Paths' Mode
 
-The `kofam_hits_in_modules` output file will have the suffix `kofam_hits_in_modules.txt`. Each line in the file will represent information about one KOfam hit in a given genome, metagenome, or bin - but _only_ KOs that are a part of at least one KEGG Module are included in this output. Hits are organized according to the KEGG module that they belong to, and more specifically the path through the KEGG module in which the KO appears.
+The 'module_paths' output file will have the suffix `module_paths.txt`. Each line in the file will represent information about one path through a metabolic module.
 
-What is a path through a KEGG module, you ask? Well. There is a lengthier explanation of this [here](https://merenlab.org/software/anvio/help/main/programs/anvi-estimate-metabolism/#what-data-is-used-for-estimation), but we will go through it briefly below.
+What is a path through a module, you ask? Well. There is a lengthier explanation of this [here](https://anvio.org/help/main/programs/anvi-estimate-metabolism/#technical-details), but we will go through it briefly below.
 
-KEGG modules are metabolic pathways defined by a set of KOs. For example, here is the definition of module [M00001](https://www.genome.jp/kegg-bin/show_module?M00001), better known as "Glycolysis (Embden-Meyerhof pathway), glucose => pyruvate":
+Modules are metabolic pathways defined by a set of enzymes - for KEGG modules, these enzymes are KEGG orthologs, or KOs. For example, here is the definition of module [M00001](https://www.genome.jp/kegg-bin/show_module?M00001), better known as "Glycolysis (Embden-Meyerhof pathway), glucose => pyruvate":
 
 (K00844,K12407,K00845,K00886,K08074,K00918) (K01810,K06859,K13810,K15916) (K00850,K16370,K21071,K00918) (K01623,K01624,K11645,K16305,K16306) K01803 ((K00134,K00150) K00927,K11389) (K01834,K15633,K15634,K15635) K01689 (K00873,K12406)
 
@@ -56,38 +70,77 @@ Spaces separate steps (reactions) in the metabolic pathway, and commas separate
 
 (**K00844**,K12407,K00845,K00886,K08074,K00918) (**K01810**,K06859,K13810,K15916) (**K00850**,K16370,K21071,K00918) (**K01623**,K01624,K11645,K16305,K16306) **K01803** ((**K00134**,K00150) **K00927**,K11389) (**K01834**,K15633,K15634,K15635) **K01689** (**K00873**,K12406)
 
-to get the following path of KOs (which happens to be the path shown in the output example below):
+to get the following path of KOs (which happens to be the first path shown in the output example below):
 
 K00844 K01810 K00850 K01623 K01803 K00134 K00927 K01834 K01689 K00873
 
-For every KO in the path above that has a hit in the %(contigs-db)s, there will be a corresponding line in the 'kofam_hits_in_modules' output file. The same will occur for every possible path in every single KEGG module, resulting in a lot of lines and extremely repetitive but nicely parseable information.
+In summary, a 'path' is one set of enzymes that can be used to catalyze all reactions in a given metabolic pathway, and there can be many possible paths (containing different sets of alternative enzymes) for a module. For every possible path through a module, there will be a corresponding line in the 'module_paths' output file.
+
+The same principle applies to user-defined metabolic modules, except that the enzymes can be from a variety of different annotation sources (not just KOfam).
 
 Without further ado, here is an example of this output mode (also from the Infant Gut dataset):
 
-| unique_id | db_name | genome_name | kofam_hit | gene_caller_id | contig | path_id | path | path_completeness | kegg_module | module_completeness | module_is_complete |
-|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|
-| 0 | E_faecalis_6240 | Enterococcus_faecalis_6240 | K01834 | 2342 | Enterococcus_faecalis_6240_contig_00003_chromosome | 0 | K00844,K01810,K00850,K01623,K01803,K00134,K00927,K01834,K01689,K00873 | 0.8 | Enterococcus_faecalis_6240 | M00001 | 1.0 | True |
-| 1 | E_faecalis_6240 | Enterococcus_faecalis_6240 | K01834 | 2646 | Enterococcus_faecalis_6240_contig_00003_chromosome | 0 | K00844,K01810,K00850,K01623,K01803,K00134,K00927,K01834,K01689,K00873 | 0.8 | M00001 | 1.0 | True |
-|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|
+|**module**|**genome_name**|**db_name**|**pathwise_module_completeness**|**pathwise_module_is_complete**|**path_id**|**path**|**path_completeness**|
+|:--|:--|:--|:--|:--|:--|:--|:--|
+|M00001|Enterococcus_faecalis_6240|E_faecalis_6240|1.0|True|0|K00844,K01810,K00850,K01623,K01803,K00134,K00927,K01834,K01689,K00873|0.8|
+|M00001|Enterococcus_faecalis_6240|E_faecalis_6240|1.0|True|1|K12407,K01810,K00850,K01623,K01803,K00134,K00927,K01834,K01689,K00873|0.8|
+|M00001|Enterococcus_faecalis_6240|E_faecalis_6240|1.0|True|2|K00845,K01810,K00850,K01623,K01803,K00134,K00927,K01834,K01689,K00873|0.8|
+|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|
 
-Many of the columns in this data overlap with the `modules_mode` columns; you can find descriptions of those in the previous section. Below are the descriptions of new columns in this mode:
+Many of the columns in this data overlap with the 'modules' mode columns; you can find descriptions of those in the previous section. Below are the descriptions of new columns in this mode:
+- `path_id`: a unique identifier of the current path through the module
+- `path`: the current path of enzymes through the module (described above)
+- `path_completeness`: a fraction between 0 and 1 indicating the proportion of enzymes in the _current path_ that are annotated. To learn how this number is calculated, see [the anvi-estimate-metabolism help page](https://anvio.org/help/main/programs/anvi-estimate-metabolism/#how-is-pathwise-completenesscopy-number-calculated)
 
-- `kofam_hit`: a KO annotation from the contigs database that contributes to a KEGG module
-- `gene_caller_id`: the ID of the gene that is annotated with this KO
-- `contig`: the contig on which this gene is present
-- `path_id`: a unique identifier of the current path through the KEGG module
-- `path`: the current path of KOs through the module (described above), which this KO annotation contributes to
-- `path_completeness`: a fraction between 0 and 1 indicating the proportion of KOs in the current path that are annotated. To learn how this number is calculated, see [the anvi-estimate-metabolism help page](https://merenlab.org/software/anvio/help/main/programs/anvi-estimate-metabolism/#how-is-the-module-completeness-score-calculated)
+Note that in this output mode, `pathwise_module_completeness` and `pathwise_module_is_complete` are the pathwise completeness scores of the module overall, not of a particular path through the module. These values will be repeated for all lines describing the same module.
 
-**Coverage and detection values in the output**
+**Path copy number values in the output**
 
-The flag `--add-coverage` can also be used for this output mode, but in this case, the columns that are added (for each sample in the profile database) are slightly different. Here is a mock example:
+If you use the flag `--add-copy-number`, this output mode will gain an additional column, `num_complete_copies_of_path`, which describes the number of 'complete' copies of the current path through the module. To calculate this, we look at the number of annotations for each enzyme in the path and figure out how many times we can use different annotations to get a copy of the path with a completeness score that is greater than or equal to the completeness score threshold. For more details, check out [the anvi-estimate-metabolism help page](https://anvio.org/help/main/programs/anvi-estimate-metabolism/#how-is-pathwise-completenesscopy-number-calculated)
 
-| SAMPLE_1_coverage | SAMPLE_1_detection |
-|:--|:--|
-| 3.0 | 1.0 |
+### 'Module Steps' Mode
 
-Since each row is a single gene in this output mode, these columns will contain the coverage/detection values for that gene only.
+The 'module_steps' output file will have the suffix `module_steps.txt`. Each line in the file will represent information about one top-level step in a metabolic module. The top-level steps are the major steps that you get when you split the module definition on a space. Each "top-level" step is comprised of one or more enzymes that either work together or serve as alternatives to each other to catalyze (usually) one reaction in the metabolic pathway.
+
+If we use module [M00001](https://www.genome.jp/kegg-bin/show_module?M00001) as an example again, we would get the following top-level steps for this module:
+
+1. (K00844,K12407,K00845,K00886,K08074,K00918)
+2. (K01810,K06859,K13810,K15916)
+3. (K00850,K16370,K21071,K00918)
+4. (K01623,K01624,K11645,K16305,K16306)
+5. K01803
+6. ((K00134,K00150) K00927,K11389)
+7. (K01834,K15633,K15634,K15635)
+8. K01689
+9. (K00873,K12406)
+
+The first top-level step in this module is comprised of different glucokinase enzymes, all of which can catalyze the conversion from alpha-D-Glucose to alpha-D-Glucose 6-phosphate. The second top-level step is made up of alternative KOs for the glucose-6-phosphate isomerase enzyme, which converts alpha-D-Glucose 6-phosphate to beta-D-Fructose 6-phosphate. And so on.
+
+Each top-level step in a metabolic module gets its own line in the 'module_steps' output file. Here is an example showing all 9 steps for module M00001 in one Enterococcus genome from the Infant Gut Dataset:
+
+|**module**|**genome_name**|**db_name**|**stepwise_module_completeness**|**stepwise_module_is_complete**|**step_id**|**step**|**step_completeness**|
+|:--|:--|:--|:--|:--|:--|:--|:--|
+|M00001|Enterococcus_faecalis_6240|E_faecalis_6240|1.0|True|0|(K00844,K12407,K00845,K25026,K00886,K08074,K00918)|1|
+|M00001|Enterococcus_faecalis_6240|E_faecalis_6240|1.0|True|1|(K01810,K06859,K13810,K15916)|1|
+|M00001|Enterococcus_faecalis_6240|E_faecalis_6240|1.0|True|2|(K00850,K16370,K21071,K00918)|1|
+|M00001|Enterococcus_faecalis_6240|E_faecalis_6240|1.0|True|3|(K01623,K01624,K11645,K16305,K16306)|1|
+|M00001|Enterococcus_faecalis_6240|E_faecalis_6240|1.0|True|4|K01803|1|
+|M00001|Enterococcus_faecalis_6240|E_faecalis_6240|1.0|True|5|((K00134,K00150) K00927,K11389)|1|
+|M00001|Enterococcus_faecalis_6240|E_faecalis_6240|1.0|True|6|(K01834,K15633,K15634,K15635)|1|
+|M00001|Enterococcus_faecalis_6240|E_faecalis_6240|1.0|True|7|K01689|1|
+|M00001|Enterococcus_faecalis_6240|E_faecalis_6240|1.0|True|8|(K00873,K12406)|1|
+|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|
+
+As in the previous section, you should look at the 'modules' mode section for descriptions of any columns that are shared with that mode. Below are the descriptions of new columns in this mode:
+- `step_id`: a unique identifier of each top-level step in the module
+- `step`: the definition of the top-level step, as extracted from the module definition
+- `step_completeness`: an integer value of 1 in this column indicates that the step is complete, meaning that (at least) one of any alternative enzymes (or sets of enzymes) in this step has been annotated. A value of 0 indicates that the step is incomplete, meaning that there is no way for the step's reaction to be catalyzed based on the set of enzyme annotations we are considering. This value is binary (so 0 and 1 are the only possible values for this column). To learn how this number is calculated, see [the anvi-estimate-metabolism help page](https://anvio.org/help/main/programs/anvi-estimate-metabolism/#how-is-stepwise-completenesscopy-number-calculated).
+
+Note that in this output mode, `stepwise_module_completeness` and `stepwise_module_is_complete` are the stepwise completeness scores of the module overall, not of a particular step in the module. These values will be repeated for all lines describing the same module.
+
+**Step copy number values in the output**
+
+If you use the flag `--add-copy-number`, this output mode will gain an additional column, `step_copy_number`, which describes the number of copies of the current step. To calculate this value, we look at the number of annotations for each alternative enzyme in the step and figure out how many different versions of the step we can make by combining different annotations. For more details, check out [the anvi-estimate-metabolism help page](https://anvio.org/help/main/programs/anvi-estimate-metabolism/#how-is-stepwise-completenesscopy-number-calculated).
 
 ### 'KOfam Hits' Mode
 
@@ -110,17 +163,33 @@ Here are the descriptions of any new columns not yet discussed in the previous s
 
 **Coverage and detection values in the output**
 
-If you use the flag `--add-coverage` and provide a profile database, you will get the same additional columns per row as described above in for `kofam_hits_in_modules` mode. That is, you will get one column per sample for coverage (containing the coverage value of the KO hit in the sample) and one column per sample for detection (containing the detection value of the KO hit in the sample). 
+If you use the flag `--add-coverage` and provide a profile database, you will get one additional column per sample for coverage (containing the coverage value of the enzyme annotation in the sample) and one additional column per sample for detection (containing the detection value of the enzyme annotation in the sample). Here is a mock example:
+
+SAMPLE_1_coverage | SAMPLE_1_detection
+|:--|:--|
+3.0 | 1.0
+
+Since each row is a single gene in this output mode, these columns will contain the coverage/detection values for that gene only.
 
 ### Custom Mode (for module data)
 
-The `modules_custom` output mode will have user-defined content and the suffix `modules_custom.txt` (we currently only support output customization for modules data). See %(anvi-estimate-metabolism)s for an example command to work with this mode. The output file will look similar to the `modules` mode output, but with a different (sub)set of columns.
+The 'modules_custom' output mode will have user-defined content and the suffix `modules_custom.txt` (we currently only support output customization for modules data). See %(anvi-estimate-metabolism)s for an example command to work with this mode. The output file will look similar to the 'modules' mode output, but with a different (sub)set of columns. You can use the flag `--list-available-output-headers` to see all of the possible columns you can choose from - this list will change depending on what input type you have and whether you use the `--add-copy-number` or `--add-coverage` flags (one caveat: using these flags with 'Multi Mode' input does not show you all possible output headers, so it is best to build your custom header list by looking at the possible headers for one sample).
 
 ## Matrix format output
 
-Matrix format is an output option when %(anvi-estimate-metabolism)s is working with multiple contigs databases at once. The purpose of this output type is to generate matrices of KEGG module statistics for easy visualization and clustering. Currently, the matrix-formatted output includes a module completeness matrix, a matrix of binary module presence/absence values, and a matrix of KO counts. In these matrices, each row is a KEGG module or KO, and each column is an input sample.
+Matrix format is an output option when %(anvi-estimate-metabolism)s is working with multiple contigs databases at once (otherwise known as 'Multi Mode'). The purpose of this output type is to generate matrices of module statistics for easy visualization and clustering. Currently, the matrix-formatted output includes:
+- matrices of module completeness scores, one for pathwise completeness and one for stepwise completeness
+- matrices of binary module presence/absence values, one for pathwise completeness and one for stepwise completeness
+- matrix of binary top-level step completeness values
+- matrix of enzyme annotation counts
 
-Here is an example of a module completeness matrix, for bins in a metagenome:
+If you use the `--add-copy-number` flag, you will get three additional matrix files:
+- matrices of module copy number, one for pathwise copy number and one for stepwise copy number
+- matrix of top-level step copy number
+
+In these tab-delimited matrix files, each row is a module, top-level step, or enzyme, and each column is an input sample.
+
+Here is an example of a module pathwise completeness matrix, for bins in a metagenome:
 
 | module | bin_1 | bin_2 | bin_3 | bin_4 | bin_5 | bin_6 |
 |:--|:--|:--|:--|:--|:--|:--|
@@ -131,7 +200,7 @@ Here is an example of a module completeness matrix, for bins in a metagenome:
 | M00005 | 1.00 | 0.00 | 1.00 | 1.00 | 1.00 | 1.00 |
 |(...) | (...) | (...) | (...) | (...) | (...) | (...) |
 
-Each cell of the matrix is the completeness score for the corresponding module in the corresponding sample (which is, in this case, a bin).
+Each cell of the matrix is the pathwise completeness score for the corresponding module in the corresponding sample (which is, in this case, a bin).
 
 While the above is the default matrix format, some users may want to include more annotation information in the matrices so that it is easier to know what is going on when looking at the matrix data manually. You can add this metadata to the matrices by using the `--include-metadata` flag when running %(anvi-estimate-metabolism)s, and the output will look something like the following:
 
@@ -142,8 +211,10 @@ While the above is the default matrix format, some users may want to include mor
 | M00003 | Gluconeogenesis, oxaloacetate => fructose-6P | Pathway modules | Carbohydrate metabolism | Central carbohydrate metabolism | 0.88 | 0.00 | 1.00 | 0.75 | 1.00 | 0.88 |
 |(...) | (...) | (...) | (...) | (...) | (...) | (...) |
 
-The module completeness matrix files will have the suffix `completeness-MATRIX.txt`.
+The module/step completeness matrix files will have the suffix `completeness-MATRIX.txt`.
 
 Module presence/absence matrix files will have the suffix `presence-MATRIX.txt`. In these files, each cell of the matrix will have either a 1.0 or a 0.0. A 1.0 indicates that the module has a completeness score above the module completeness threshold in that sample, while a 0.0 indicates that the module's completeness score is not above the threshold.
 
-Finally, KO hit matrix files will have the suffix `ko_hits-MATRIX.txt`. Each row of the matrix will be a KO, and each column will be an input sample. Cells in this matrix will contain an integer value, representing the number of times the KO was annotated in that sample.
+Enzyme hit matrix files will have the suffix `enzyme_hits-MATRIX.txt`. Each row of the matrix will be an enzyme, and each column will be an input sample. Cells in this matrix will contain an integer value, representing the number of times the enzyme was annotated in that sample. (Note: you will also add metadata to this matrix type when you use the `--include-metadata` flag).
+
+Copy number matrices will have the suffix `copy_number-MATRIX.txt`. In these files, each cell of the matrix will be an integer representing the number of copies of a module or top-level step in a given sample.
diff --git a/anvio/docs/artifacts/modules-db.md b/anvio/docs/artifacts/modules-db.md
index 9b28a22b79..3c5dba6813 100644
--- a/anvio/docs/artifacts/modules-db.md
+++ b/anvio/docs/artifacts/modules-db.md
@@ -1,4 +1,4 @@
-A database containing information from the [KEGG MODULE database](https://www.genome.jp/kegg/module.html) for use in metabolic reconstruction and functional annotation of KEGG Orthologs (KOs).
+A type of database containing information from either A) the [KEGG MODULE database](https://www.genome.jp/kegg/module.html) and [KEGG BRITE database](https://www.genome.jp/kegg/brite.html), or B) user-defined metabolic modules, for use in metabolism estimation and/or functional annotation of KEGG Orthologs (KOs).
 
 This database is part of the %(kegg-data)s directory. You can get it on your computer by running %(anvi-setup-kegg-kofams)s. Programs that rely on this database include %(anvi-run-kegg-kofams)s and %(anvi-estimate-metabolism)s.
 
@@ -19,17 +19,34 @@ In the current implementation, data about each metabolic pathway from the KEGG M
 | M00001 | ORTHOLOGY | K12407	| hexokinase/glucokinase [EC:2.7.1.1 2.7.1.2] [RN:R01786] | 4 |
 | (...) | (...) | (...) | (...) | (...) |
 
-These data correspond to the information that can be found on the KEGG website for each metabolic module - for an example, you can see the page for [M00001](https://www.genome.jp/dbget-bin/www_bget?md:M00001) (or, alternatively, its [flat text file version](http://rest.kegg.jp/get/M00001) from the KEGG REST API). 
+These data correspond to the information that can be found on the KEGG website for each metabolic module - for an example, you can see the page for [M00001](https://www.genome.jp/dbget-bin/www_bget?md:M00001) (or, alternatively, its [flat text file version](http://rest.kegg.jp/get/M00001) from the KEGG REST API).
 
 The `module` column indicates the module ID number while the `data_name` column indicates what type of data the row is describing about the module. These data names are usually fairly self-explanatory - for instance, the `DEFINITION` rows describe the module definition and the `ORTHOLOGY` rows describe the KEGG Orthologs (KOs) belonging to the module - however, for an official explanation, you can check [the KEGG help page](https://www.genome.jp/kegg/document/help_bget_module.html).
 
-The `data_value` and `data_definition` columns hold the information corresponding to the row's `data_name`; for `ORTHOLOGY` fields these are the KO number and the KO's functional annotation, respectively. Not all rows have a `data_definition` field. 
+The `data_value` and `data_definition` columns hold the information corresponding to the row's `data_name`; for `ORTHOLOGY` fields these are the KO number and the KO's functional annotation, respectively. Not all rows have a `data_definition` field.
 
 Finally, some rows of data originate from the same line in the original KEGG MODULE text file; these rows will have the same number in the `line` column. Perhaps this is a useless field. But it is there.
 
+### The BRITE hierarchies table
+
+In database version 4 or later, there is the option to include KEGG BRITE data in the modules database when setting one up using %(anvi-setup-kegg-kofams)s. If this is done, the database will include a table called `brite_hierarchies` which stores the set of functional hierarchies that each KEGG Ortholog belongs to. It will look like this:
+
+|**hierarchy_accession**|**hierarchy_name**|**ortholog_accession**|**ortholog_name**|**categorization**|
+|:--|:--|:--|:--|:--|
+|ko00001|KEGG Orthology (KO)|K00844|HK; hexokinase [EC:2.7.1.1]|09100 Metabolism>>>09101 Carbohydrate metabolism>>>00010 Glycolysis / Gluconeogenesis [PATH:ko00010]|
+|ko00001|KEGG Orthology (KO)|K00844|HK; hexokinase [EC:2.7.1.1]|09100 Metabolism>>>09101 Carbohydrate metabolism>>>00051 Fructose and mannose metabolism [PATH:ko00051]|
+|ko00001|KEGG Orthology (KO)|K00844|HK; hexokinase [EC:2.7.1.1]|09100 Metabolism>>>09101 Carbohydrate metabolism>>>00052 Galactose metabolism [PATH:ko00052]|
+|ko00001|KEGG Orthology (KO)|K00844|HK; hexokinase [EC:2.7.1.1]|09100 Metabolism>>>09101 Carbohydrate metabolism>>>00500 Starch and sucrose metabolism [PATH:ko00500]|
+|ko00001|KEGG Orthology (KO)|K00844|HK; hexokinase [EC:2.7.1.1]|09100 Metabolism>>>09101 Carbohydrate metabolism>>>00520 Amino sugar and nucleotide sugar metabolism [PATH:ko00520]|
+| (...) | (...) | (...) | (...) | (...) |
+
+These data are coming from the JSON files describing each BRITE hierarchy that can be downloaded from the [KEGG BRITE website](https://www.genome.jp/kegg/brite.html). For an example, [click here](https://www.genome.jp/kegg-bin/show_brite?ko00001.keg).
+
+The first four columns in this table are hopefully self-explanatory from the column names. In the `categorization` column, different functional categorization levels are separated by the `>>>` character.
+
 ### The database hash value
 
-In the `self` table of this database, there is an entry called `hash`. This string is a hash of the contents of the database, and it allows us to identify the version of the data within the database. This value is important for ensuring that the same MODULES.db is used both for annotating a contigs database with %(anvi-run-kegg-kofams)s and for estimating metabolism on that contigs database with %(anvi-estimate-metabolism)s. 
+In the `self` table of this database, there is an entry called `hash`. This string is a hash of the contents of the database (specifically, it is a hash of the module and enzyme accessions in the database), and it allows us to identify the version of the data within the database. This value is important for ensuring that the same MODULES.db is used both for annotating a contigs database with %(anvi-run-kegg-kofams)s and for estimating metabolism on that contigs database with %(anvi-estimate-metabolism)s.
 
 You can easily check the hash value by running the following:
 
@@ -63,7 +80,7 @@ modules_db_hash ..............................: 45b7cc2e4fdc
 
 ## Querying the database
 
-If you want to extract information directly from this database, you can do it with a bit of SQL :) 
+If you want to extract information directly from this database, you can do it with a bit of SQL :)
 
 Here is one example, which obtains the name of every module in the database:
 
@@ -73,4 +90,24 @@ export ANVIO_MODULES_DB=`python -c "import anvio; import os; print(os.path.join(
 # get module names:
 sqlite3 $ANVIO_MODULES_DB "select module,data_value from kegg_modules where data_name='NAME'" | \
     tr '|' '\t' > module_names.txt
-```
\ No newline at end of file
+```
+
+## Loading the database in Python
+
+The modules database class has plenty of helpful functions defined for it. You can easily load one in Python and use these functions to access the data within. Here is how you load the database:
+
+```python
+import anvio
+import argparse
+import os
+from anvio import kegg
+
+args = argparse.Namespace()
+# CHANGE THIS PATH IF YOU WANT TO LOAD A MODULES DB AT A NON-DEFAULT LOCATION
+path_to_db = os.path.join(os.path.dirname(anvio.__file__), 'data/misc/KEGG/MODULES.db')
+db = kegg.ModulesDatabase(path_to_db, args)
+```
+Once you have done this, you can start to use the helper functions. For example, the following function will return a list of all paths through a module:
+```python
+db.unroll_module_definition('M00001')
+```
diff --git a/anvio/docs/artifacts/profile-db.md b/anvio/docs/artifacts/profile-db.md
index 99572eaf81..6a8e3e0395 100644
--- a/anvio/docs/artifacts/profile-db.md
+++ b/anvio/docs/artifacts/profile-db.md
@@ -1,26 +1,28 @@
-An anvi'o database that **contains key information about the mapping of short reads *from multiple samples* to your contigs.** 
+An anvi'o database that **contains key information about the mapping of short reads *from multiple samples* to your contigs.**
 
-You can think of this as a extension of a %(contigs-db)s that contains information about how your contigs align with each of your samples. The vast majority of programs that use a profile database will also ask for the contigs database associated with it. 
+You can think of this as a extension of a %(contigs-db)s that contains information about how your contigs align with each of your samples. The vast majority of programs that use a profile database will also ask for the contigs database associated with it.
 
-A profile database contains information about how short reads map to the contigs in a %(contigs-db)s. Specificially, for each sample, a profile database contains 
-* the coverage and abundance per nucleotide position for each contig 
+A profile database contains information about how short reads map to the contigs in a %(contigs-db)s. Specifically, for each sample, a profile database contains
+* the coverage and abundance per nucleotide position for each contig
 * variants of various kinds (single-nucleotide, single-codon, and single-amino acid)
 * structural variants (ex. insertions and deletions)
-These terms are explained on the [anvi'o vocabulary page](http://merenlab.org/vocabulary/)
+These terms are explained on the [anvi'o vocabulary page.](http://merenlab.org/vocabulary/)
 
-This information is neccessary to run anvi'o programs like %(anvi-cluster-contigs)s, %(anvi-estimate-metabolism)s, and %(anvi-gen-gene-level-stats-databases)s. You can also interact with a profile database using programs like %(anvi-interactive)s.
+![Contents of the contigs and profile databases](../../images/contigs-profile-db.png)
+
+This information is necessary to run anvi'o programs like %(anvi-cluster-contigs)s, %(anvi-estimate-metabolism)s, and %(anvi-gen-gene-level-stats-databases)s. You can also interact with a profile database using programs like %(anvi-interactive)s.
 
 Technically, "profile-db" refers to a profile database that contains the data from several samples -- in other words, the result of running %(anvi-merge)s on several %(single-profile-db)s. However, since a %(single-profile-db)s has a lot of the functionality of a profile-db, it might be easier to think of a profile database as a header referring to both single-profile-dbs and profile-dbs (which can also be called a merged-profile-dbs). For simplicity sake, since most users are dealing with multiple samples, the name was shortened to just profile-db. The following are a list of differences in functionality between a single profile database and a merged profile database:
-* You can run %(anvi-cluster-contigs)s or %(anvi-mcg-classifier)s on only a merged profile database (or profile-db), since they look at the allignment data in many samples 
+* You can run %(anvi-cluster-contigs)s or %(anvi-mcg-classifier)s on only a merged profile database (or profile-db), since they look at the allignment data in many samples
 * You cannot run %(anvi-merge)s or %(anvi-import-taxonomy-for-layers)s on a merged profile database, only on a %(single-profile-db)s.
 
 ## How to make a profile database
 
-### If you have multiple samples 
+### If you have multiple samples
 1. Prepare your %(contigs-db)s
 2. Run %(anvi-profile)s with an appropriate %(bam-file)s. The output of this will give you a %(single-profile-db)s. You will need to do this for each of your samples, which have been converted into a %(bam-file)s with your short reads.
 3. Run %(anvi-merge)s on your %(contigs-db)s (from step 1) and your %(single-profile-db)ss (from step 2). The output of this is a profile-db.
 
 ### If you have a single sample
 1. Prepare your %(contigs-db)s
-2. Run %(anvi-profile)s with an appropriate %(bam-file)s. The output of this will give you a %(single-profile-db)s. You can see that page for more information, but essentially you can use a single-profile-db instead of a profile database to run most anvi'o functions. 
+2. Run %(anvi-profile)s with an appropriate %(bam-file)s. The output of this will give you a %(single-profile-db)s. You can see that page for more information, but essentially you can use a single-profile-db instead of a profile database to run most anvi'o functions.
diff --git a/anvio/docs/artifacts/samples-txt.md b/anvio/docs/artifacts/samples-txt.md
index 4e542d834b..ea3f918bc0 100644
--- a/anvio/docs/artifacts/samples-txt.md
+++ b/anvio/docs/artifacts/samples-txt.md
@@ -2,12 +2,18 @@ A **TAB-delimited** file to describe samples and paired-end FASTQ files associat
 
 This file type includes required and optional columns.
 
+{:.notice}
+While these required and optional columns are what anvi'o is going to look for anytime you expect to process a TAB-delimited file as %(samples-txt)s, you can have as many columns as you like in a given TAB-delimited to be used as %(samples-txt)s as long as it includes these required and optional columns.
+
 The following three columns are **required** for this file type:
 
 * `sample`: a single-word sample name,
 * `r1`: path to the FASTQ file for pair one, and
 * `r2`: path to the FASTQ file for pair two.
 
+{:.notice}
+You can also use `name` as your first column instead of `sample`.
+
 While you can use relative paths for `r1` and `r2`, it is always better to have absolute paths to improve reproducibility.
 
 The following is an **optional** column:
diff --git a/anvio/docs/artifacts/short-reads-fasta.md b/anvio/docs/artifacts/short-reads-fasta.md
index e5ea1cdd6a..886c5f8ce7 100644
--- a/anvio/docs/artifacts/short-reads-fasta.md
+++ b/anvio/docs/artifacts/short-reads-fasta.md
@@ -1,10 +1 @@
-Similarly to a %(genes-fasta)s, a short reads fasta is what it sounds like: a %(fasta)s file containing short reads.
-
-Short reads usually refer to the initial pieces of sequencing data that you had before you assembled them into longer contigs. In other words, these are the kinds of reads you could get out of a technique like Sanger sequencing. Knowing how those short reads align to your contigs is vital for analysis (In fact, that's a lot of the functionality of a %(profile-db)s!).
-
-In anvi'o, you can currently get short reads from four sources:
-
-* from a %(bam-file)s by running the program %(anvi-get-short-reads-from-bam)s
-* from a gene in a %(contigs-db)s by running the program %(anvi-get-short-reads-mapping-to-a-gene)s
-* from something (like a contig) within a %(fasta)s file by running the program %(anvi-script-get-primer-matches)s
-* by generating mock short read data from assembled contigs (as done in the program %(anvi-script-gen-short-reads)s).
+A %(fasta)s file that contains often unassembled, short metagenomic reads.
diff --git a/anvio/docs/artifacts/single-profile-db.md b/anvio/docs/artifacts/single-profile-db.md
index 806bf733dc..af6bdcfcf4 100644
--- a/anvio/docs/artifacts/single-profile-db.md
+++ b/anvio/docs/artifacts/single-profile-db.md
@@ -11,5 +11,6 @@ Once created, a single profile database is almost interchangable with a %(profil
 * You cannot run %(anvi-cluster-contigs)s or %(anvi-mcg-classifier)s on a single profile db, since these two programs look at the alignment data in many samples. 
 * You can run %(anvi-import-taxonomy-for-layers)s on a single profile database but not a merged one. 
 * You can only run %(anvi-merge)s on a single profile database.
+* You can only run %(anvi-report-inversions)s using single profile database created with the inversion fetch filter.
 
 If you want to look at the contents of a single profile database, you can do so using %(anvi-interactive)s. 
diff --git a/anvio/docs/artifacts/user-modules-data.md b/anvio/docs/artifacts/user-modules-data.md
new file mode 100644
index 0000000000..73a8c01a3b
--- /dev/null
+++ b/anvio/docs/artifacts/user-modules-data.md
@@ -0,0 +1,151 @@
+A directory of **user-defined metabolism data**, created by the user for estimating metabolism on custom metabolic pathways. The program %(anvi-setup-user-modules)s takes this directory as input and creates a %(modules-db)s out of the data within, for use by %(anvi-estimate-metabolism)s.
+
+Instructions for creating this data directory and using it to estimate completeness of custom (ie, non-KEGG) metabolic pathways can be found below.
+
+## A step-by-step guide to creating your own metabolic modules for anvi-estimate-metabolism
+
+If you want to define your own metabolic pathway so that you can estimate its completeness in genomes, MAGs, and metagenomes, follow the steps below!
+
+### 1. Find the enzymes
+
+What you need first is a list of enzyme accession numbers. For each reaction in your metabolic pathway, figure out what enzyme(s) or enzyme complexes (if any) are required to catalyze the reaction. Then, for each of these enzymes and/or components of enzyme complexes, figure out if they are present in common databases like [NCBI COG](https://www.ncbi.nlm.nih.gov/research/cog), [KEGG KOfam](https://www.genome.jp/tools/kofamkoala/), or [PFAM](http://pfam.xfam.org/). If so, mark down their accession numbers in those databases. If not, you may need to create your own HMM profile for the enzyme (and create an accession number for it).
+
+Also, think about how you will annotate each enzyme, because for each one you will need to write down its functional annotation source in the module file in step 3. Here is a short guide to common annotation sources:
+
+Enzyme comes from... | annotation program | ANNOTATION_SOURCE
+|:---|:---|:---|
+KEGG KOfam | %(anvi-run-kegg-kofams)s | Kofam
+NCBI COG (2020) | %(anvi-run-ncbi-cogs)s | COG20_FUNCTION
+NCBI COG (2014) | %(anvi-run-ncbi-cogs)s | COG14_FUNCTION
+PFAM | %(anvi-run-pfams)s | Pfam
+custom HMMs | %(anvi-run-hmms)s with `--hmm-source` and `--add-to-functions-table` parameters | name of directory given to `--hmm-source`
+other annotation strategy | %(anvi-import-functions)s | source defined in input file
+
+### 2. Define the module
+
+You need to write a DEFINITION string for the module. This string should be in the style of KEGG MODULE definitions, which are described [here](https://merenlab.org/software/anvio/help/main/programs/anvi-estimate-metabolism/#what-data-is-used-for-estimation). Briefly, you will put the enzyme accessions in order of their corresponding reactions in the metabolic pathway. Different steps (reactions) in the pathway should be separated by spaces, and alternative enzymes that can catalyze the same reaction should be separated by commas. You can use parentheses to distinguish alternatives with multiple steps. For enzyme complexes, all components should be in one string, with essential components separated by '+' signs and non-essential components separated by '-' signs.
+
+### 3. Write a module file
+
+Put all the information about your metabolic pathway into a text file. The file format and types of information you need to include are discussed [here](https://merenlab.org/software/anvio/help/main/programs/anvi-setup-user-modules/#how-do-i-format-the-module-files). At minimum, you need to pick an identifier (ENTRY) and NAME for the module, include your DEFINITION string from step 2, write an ORTHOLOGY line and an ANNOTATION_SOURCE line for each enzyme and/or enzyme component, and write a CLASS string to categorize your module into its class/category/subcategory. The module file should be given the same name as the identifier in the ENTRY line, and this identifier should not be the same as any module in the KEGG database.
+
+{:.notice}
+Check out %(anvi-script-gen-user-module-file)s for a way to automatically format your user module files.
+
+### 4. Set up the USER_MODULES.db
+
+Once you have created a module file for each metabolic pathway you are interested in, you should put these files within a folder called `modules`, within a parent directory (that can have any name you choose), as described [here](https://merenlab.org/software/anvio/help/main/programs/anvi-setup-user-modules/#input-directory-format). This parent directory is the %(user-modules-data)s directory. Then you should run the program %(anvi-setup-user-modules)s and provide this directory to the `--user-modules` parameter. If all goes well, you will end up with a database called `USER_MODULES.db` in this folder.
+
+### 5. Annotate your contigs database(s)
+
+Before you can estimate metabolism, you will need to annotate your contigs database(s) with each annotation source that you used to define your modules. This will require running one or more annotation programs, as described in the table given for step 1 above. If you want to quickly remind yourself of which annotation sources are required for your metabolic modules, you can run %(anvi-db-info)s on the `USER_MODULES.db`. But don't worry - if you forget one, you will get a helpful error message telling you what you missed when you try to run %(anvi-estimate-metabolism)s.
+
+Since estimation will be run on KEGG data, too, you will have to make sure you also run %(anvi-run-kegg-kofams)s on your database(s), if you haven't already, _UNLESS_ you are choosing to skip KEGG estimation by using the `--only-user-modules` parameter for %(anvi-estimate-metabolism)s.
+
+### 6. Estimate the completeness of your pathways
+
+The last step is to run %(anvi-estimate-metabolism)s and provide this directory to the `--user-modules` parameter. This program will estimate the completeness of the metabolic modules defined in the `USER_MODULES.db` (by default, this will be in addition to the KEGG modules from the %(kegg-data)s directory. But, as mentioned above, you can specify `--only-user-modules` to only estimate on your own data).
+
+## A toy example
+
+For this example, we will be creating a completely FAKE, biologically-nonsensical Frankenstein of a metabolic pathway. This is not anything you should be putting in your own `USER_MODULES.db`; it only exists for demonstrating the steps above, and particularly so you have a reference for how to handle the different annotation sources mentioned in step 1.
+
+First, let's select 5 different enzymes. Typically at this step you would use your biological knowledge of a real metabolic pathway to determine the specific set of enzymes catalyzing the reactions of the pathway - but for this toy example, we're going to use random enzymes that come from a variety of annotation sources, not enzymes that actually work together biologically in a real cell. So we'll go with a couple of KOfams, a COG, a PFAM, and a TIGRFAM (to demonstrate the 'other' annotation strategy). Here is the list of accessions: K01657, K01658, COG1362, PF06603.14, and TIGR01709.2.
+
+It doesn't matter what they are or what they do. What matters is that we will learn how to annotate each one. So let's talk about their annotation sources. K01657 and K01658 will both come from `KOfam`, and COG1362 will come from the 2020 distribution of the COGs database, so its source will be `COG20_FUNCTION`. PF06603.14 is a PFAM, so it _could_ come from the `Pfam` source. But let's suppose we don't want to waste our precious computational resources on running %(anvi-run-pfams)s when we are only interested in one enzyme from this database. Instead, we'll make a custom HMM profile for this particular enzyme by following the directions on [creating HMM sources from ad hoc PFAM accessions](https://merenlab.org/software/anvio/help/main/artifacts/hmm-source/#creating-anvio-hmm-sources-from-ad-hoc-pfam-accessions), and then we will annotate it using %(anvi-run-hmms)s. In this case, the annotation source will be the name of the directory we make using %(anvi-script-pfam-accessions-to-hmms-directory)s, so we need to pick a name for it - let's call it `METABOLISM_HMM`. Last but not least, what about the TIGRFAM enzyme TIGR01709.2? Anvi'o doesn't have a program for annotating TIGRFAMs, but we can annotate our gene sequences with TIGRFAM using [Interproscan](https://www.ebi.ac.uk/interpro/search/sequence/), compile the results into a %(functions-txt)s, and import those annotations into our contigs database using %(anvi-import-functions)s. We'll put the source `TIGRFAM` in the %(functions-txt)s file.
+
+Great, so now that we have our enzymes and we know how we will annotate them, it's time for step 2 - creating the module DEFINITION string. Again, this is not going to be a biologically-realistic metabolic pathway, but an example to demonstrate the different ways of representing steps in a pathway.
+
+Let's say the first reaction in our pathway is catalyzed by an enzyme complex made up of two essential components, K01657 and K01658. We represent this step by the string "K01657+K01658" (no spaces between the components). Suppose the next part of the pathway can _either_ be one reaction catalyzed by the enzyme PF06603.14, _or_ it can be a two-step reaction in which the first reaction is catalyzed by COG1362 and the second is catalyzed by TIGR01709.2. We use a comma to separate the alternatives, and since the second option requires two different steps (that will be separated by a space), we surround the second option with parentheses to make sure both steps are considered as the alternative. It looks like this: "PF06603.14,(COG1362 TIGR01709.2)".
+
+So our full module DEFINITION string is "K01657+K01658 PF06603.14,(COG1362 TIGR01709.2)".
+
+Now we need to put this information into a module file. We'll give the module the identifier `UD0042` (UD for 'user-defined', and 42 because 42 is the answer to life, the universe, and everything), and this will also be the name of the file.
+
+Here is the module file. Any information that we didn't discuss above has been filled in to demonstrate the formatting requirements:
+```
+ENTRY       UD0042
+NAME        Frankenstein pathway for demo purposes
+DEFINITION  K01657+K01658 PF06603.14,(COG1362 TIGR01709.2)
+ORTHOLOGY   K01657  anthranilate synthase component I [EC:4.1.3.27]
+            K01658  anthranilate synthase component II [EC:4.1.3.27]
+            PF06603.14  UpxZ
+            COG1362  Aspartyl aminopeptidase
+            TIGR01709.2  type II secretion system protein GspL
+CLASS       User modules; Demo set; Frankenstein metabolism
+ANNOTATION_SOURCE  K01657  KOfam
+                    K01658  KOfam
+                    PF06603.14  METABOLISM_HMM
+                    COG1362  COG20_FUNCTION
+                    TIGR01709.2  TIGRFAM
+///
+```
+
+If you were actually going to use this pathway, this is how you could create the %(user-modules-data)s directory and then the `USER_MODULES.db`:
+
+{{ codestart }}
+mkdir USER_METABOLISM
+mkdir USER_METABOLISM/modules
+vi USER_METABOLISM/modules/UD0042
+\#copy the above into this file, save and quit
+anvi-setup-user-modules --user-modules USER_METABOLISM/
+{{ codestop }}
+
+You would see the following output after %(anvi-setup-user-modules)s completed:
+```
+Modules database .............................: A new database, USER_METABOLISM/USER_MODULES.db, has been created.
+Number of modules ............................: 1
+Number of entries ............................: 14
+Number of parsing errors (corrected) .........: 0
+Number of parsing errors (uncorrected) .......: 0
+Annotation sources required for estimation ...: COG20_FUNCTION, METABOLISM_HMM, KOfam, TIGRFAM
+```
+As expected, if we want to use this modules database for estimating completeness of our Frankenstein pathway, we would need to annotate our %(contigs-db)s of interest with the four annotation sources we discussed above. And that, in fact, is the next step.
+
+The first two annotation sources we discussed are easy, because we don't need to do anything besides run the designated anvi'o program for KEGG KOfams and NCBI COGs, respectively:
+
+{{ codestart }}
+%(anvi-run-kegg-kofams)s -c CONTIGS.db \
+                      --num-threads 4
+%(anvi-run-ncbi-cogs)s -c CONTIGS.db \
+                    --num-threads 4
+{{ codestop }}
+
+Annotating PF06603.14 requires an extra step, because we first need to create a custom HMM for this enzyme. Luckily, there is another anvi'o program to do that. We give the enzyme accession to %(anvi-script-pfam-accessions-to-hmms-directory)s, and we make sure to set the output directory name to be the same as the annotation source string that we put in the module file:
+
+{{ codestart }}
+%(anvi-script-pfam-accessions-to-hmms-directory)s --pfam-accessions-list PF06603.14 \
+                                               -O METABOLISM_HMM
+%(anvi-run-hmms)s -c CONTIGS.db \
+               -H METABOLISM_HMM \
+               --add-to-functions-table \
+               --num-threads 4
+{{ codestop }}
+
+Please note that you _must_ use the `--add-to-functions-table` parameter when you use %(anvi-run-hmms)s, otherwise the annotations for PF06603.14 will not be stored in the proper database table and %(anvi-estimate-metabolism)s will not be able to find them later. Also, if you use the %(anvi-script-pfam-accessions-to-hmms-directory)s program to create your custom HMM profiles, you should make sure that the accessions in the resulting `genes.txt` file are matching to the corresponding enzyme accessions in the module file, because those are the accessions that will be put into your contigs database.
+
+Finally, to annotate TIGR01709.2 we need to take our (hypothetical) Interproscan results and convert them into a %(functions-txt)s file. You can visit that page for a lengthier discussion of the file format, but let's say the TIGR01709.2 annotations in that file looked like this:
+
+|gene_callers_id|source|accession|function|e_value|
+|:--|:--:|:--:|:--|:--:|
+|7|TIGRFAM|TIGR01709.2|type II secretion system protein GspL|1.5e-75|
+|23|TIGRFAM|TIGR01709.2|type II secretion system protein GspL|3.4e-20|
+
+The things that are especially critical here is that the `accession` matches to the accession in the module DEFINITION, ORTHOLOGY, and ANNOTATION_SOURCE lines, and that the `source` matches to the source string in the module ANNOTATION_SOURCE line(s).
+
+Suppose the file is called `TIGRFAM_annotations.txt`. Then you can import those annotations, like so:
+
+{{ codestart }}
+%(anvi-import-functions)s -c CONTIGS.db \
+                       -i TIGRFAM_annotations.txt
+{{ codestop }}
+
+Once this is done, you are ready to estimate the pathway's completeness! Here is the command:
+
+{{ codestart }}
+%(anvi-estimate-metabolism)s -c CONTIGS.db \
+                          --user-modules USER_METABOLISM/ \
+                          -O frankenstein
+{{ codestop }}
+
+If you did this, the results for module UD0042 would appear at the end of the resulting 'modules' output file, after the estimation results for KEGG modules.
diff --git a/anvio/docs/artifacts/variability-profile-xml.md b/anvio/docs/artifacts/variability-profile-xml.md
new file mode 100644
index 0000000000..0ba608524a
--- /dev/null
+++ b/anvio/docs/artifacts/variability-profile-xml.md
@@ -0,0 +1,62 @@
+An XML formatted network file that can be read and visualized by the program Gephi.
+
+At the time of preparing this particular artifact document, An example output looked like this:
+
+``` xml
+<?xml version="1.0" encoding="UTF-8"?>
+<gexf xmlns:viz="http:///www.gexf.net/1.1draft/viz" xmlns="http://www.gexf.net/1.2draft" version="1.2">
+<meta lastmodifieddate="2010-01-01+23:42">
+    <creator>Oligotyping pipeline</creator>
+</meta>
+<graph type="static" defaultedgetype="undirected">
+
+<nodes>
+    <node id="FIN_0226C_014D" label="FIN_0226C_014D">
+        <viz:size value="8"/>
+    </node>
+    <node id="FIN_0226C_030D" label="FIN_0226C_030D">
+        <viz:size value="8"/>
+    </node>
+    <node id="FIN_0226C_090D" label="FIN_0226C_090D">
+        <viz:size value="8"/>
+    </node>
+    <node id="FIN_0226M_000A" label="FIN_0226M_000A">
+        <viz:size value="8"/>
+    </node>
+    <node id="FIN_0226M_000B" label="FIN_0226M_000B">
+        <viz:size value="8"/>
+    </node>
+    (...)
+</nodes>
+<edges>
+    <edge id="0" source="AA_1004_0" target="FIN_0226C_014D" weight="154.000000" />
+    <edge id="1" source="AA_1031_0" target="FIN_0226C_014D" weight="144.000000" />
+    <edge id="2" source="AA_1050_0" target="FIN_0226C_014D" weight="133.000000" />
+    <edge id="3" source="AA_1250_0" target="FIN_0226C_014D" weight="50.000000" />
+    <edge id="4" source="AA_1268_0" target="FIN_0226C_014D" weight="41.000000" />
+    <edge id="5" source="AA_1280_0" target="FIN_0226C_014D" weight="33.000000" />
+    <edge id="6" source="AA_1298_0" target="FIN_0226C_014D" weight="19.000000" />
+    <edge id="7" source="AA_1299_0" target="FIN_0226C_014D" weight="19.000000" />
+    <edge id="8" source="AA_1304_0" target="FIN_0226C_014D" weight="11.000000" />
+    (...)
+    <edge id="3709" source="GT_1013_0" target="USA_0129M_000D" weight="3.000000" />
+    <edge id="3710" source="GT_1016_0" target="USA_0129M_000D" weight="11.000000" />
+    <edge id="3711" source="GT_1120_0" target="USA_0129M_000D" weight="1.000000" />
+    <edge id="3712" source="GT_1172_0" target="USA_0129M_000D" weight="3.000000" />
+    <edge id="3713" source="GT_389_0" target="USA_0129M_000D" weight="2.000000" />
+    <edge id="3714" source="GT_458_0" target="USA_0129M_000D" weight="4.000000" />
+    <edge id="3715" source="GT_512_0" target="USA_0129M_000D" weight="1.000000" />
+    <edge id="3716" source="GT_518_0" target="USA_0129M_000D" weight="2.000000" />
+    <edge id="3717" source="GT_533_0" target="USA_0129M_000D" weight="1.000000" />
+    <edge id="3718" source="GT_570_0" target="USA_0129M_000D" weight="1.000000" />
+    <edge id="3719" source="GT_581_0" target="USA_0129M_000D" weight="1.000000" />
+    <edge id="3720" source="GT_602_0" target="USA_0129M_000D" weight="3.000000" />
+    <edge id="3721" source="GT_707_0" target="USA_0129M_000D" weight="3.000000" />
+    <edge id="3722" source="GT_762_0" target="USA_0129M_000D" weight="3.000000" />
+    <edge id="3723" source="GT_878_0" target="USA_0129M_000D" weight="2.000000" />
+    <edge id="3724" source="GT_887_0" target="USA_0129M_000D" weight="5.000000" />
+    <edge id="3725" source="GT_899_0" target="USA_0129M_000D" weight="6.000000" />
+</edges>
+</graph>
+</gexf>
+```
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HcmV?d00001

diff --git a/anvio/docs/programs/anvi-compute-functional-enrichment-in-pan.md b/anvio/docs/programs/anvi-compute-functional-enrichment-in-pan.md
index b161714389..bc102acef0 100644
--- a/anvio/docs/programs/anvi-compute-functional-enrichment-in-pan.md
+++ b/anvio/docs/programs/anvi-compute-functional-enrichment-in-pan.md
@@ -45,8 +45,6 @@ anvi-compute-functional-enrichment-in-pan -p %(pan-db)s\
 
 The %(pan-db)s must contain at least one categorical data layer in %(misc-data-layers)s, and you must choose one of these categories to define your pan-groups with the `--category-variable` parameter. You can see available variables with %(anvi-show-misc-data)s program with the parameters `-t layers --debug`.
 
-Note that by default any genomes not in a category will be ignored; you can instead include these in the analysis by using the flag `--include-ungrouped`.
-
 The %(genomes-storage-db)s must have at least one functional annotation source, and you must choose one of these sources with the `--annotation-source`. If you do not know which functional annotation sources are available in your %(genomes-storage-db)s, you can use the `--list-annotation-sources` parameter to find out.
 
 ### Additional options
diff --git a/anvio/docs/programs/anvi-compute-metabolic-enrichment.md b/anvio/docs/programs/anvi-compute-metabolic-enrichment.md
index 1d46c4659a..4a85e5f67f 100644
--- a/anvio/docs/programs/anvi-compute-metabolic-enrichment.md
+++ b/anvio/docs/programs/anvi-compute-metabolic-enrichment.md
@@ -37,6 +37,15 @@ anvi-compute-metabolic-enrichment -M MODULES.TXT \
                                   --module-completion-threshold 0.9
 {{ codestop }}
 
+By default, this program uses the [pathwise completeness score](https://anvio.org/help/main/programs/anvi-estimate-metabolism/#two-estimation-strategies---pathwise-and-stepwise) to determine which modules are 'present' in a genome, but you can ask it to use stepwise completeness instead by using the `--use-stepwise-completeness` flag.
+
+{{ codestart }}
+anvi-compute-metabolic-enrichment -M MODULES.TXT \
+                                  -G %(groups-txt)s \
+                                  -o %(functional-enrichment-txt)s \
+                                  --use-stepwise-completeness
+{{ codestop }}
+
 By default, the column containing genome names in your MODULES.TXT file will have the header `db_name`, **but there are certain cases in which you might have them in a different column name for your genomes or metagenomes** (such as those cases where you did not run %(anvi-estimate-metabolism)s in multi-mode). In those cases, you can tell this program to look for a *different* column name to find your genomes or metagenomes using the `--sample-header`. For example, if your metagenome names are listed under the `metagenome_name` column, you would do the following:
 
 {{ codestart }}
diff --git a/anvio/docs/programs/anvi-delete-collection.md b/anvio/docs/programs/anvi-delete-collection.md
index b7238fb447..a1f965a7e0 100644
--- a/anvio/docs/programs/anvi-delete-collection.md
+++ b/anvio/docs/programs/anvi-delete-collection.md
@@ -1,15 +1,8 @@
-This program, as implied by the name, is used to delete a %(collection)s from a %(profile-db)s. 
+This program, as implied by the name, will delete a %(collection)s from a %(profile-db)s or a %(pan-db)s. 
 
-When you do this, you'll lose the collection forever, as well as the %(bin)ss within it. It is generally a good idea to export your binning effort into a %(collection-txt)s using %(anvi-export-collection)s before deleting it, just to be safe. 
+Using this program will delete the %(collection)s and every %(bin)s it describes from the database forever and without any additional warning. If you are not sure whether you may need a given collection later, it may be a good idea to export your binning effort into a %(collection-txt)s using %(anvi-export-collection)s before deleting it, just to be safe. 
 
-To list available collections in a database, call 
-
-{{ codestart }}
-anvi-delete-collection -p %(profile-db)s \
-                       --list-collections
-{{ codestop }}
-
-Then, you can easily delete a collection with the command
+To list available collections in a database you can use the program %(anvi-show-collections-and-bins)s. When you know which collection you wish to remove, you can run the program on the target collection name:
 
 {{ codestart }}
 anvi-delete-collection -p %(profile-db)s \
diff --git a/anvio/docs/programs/anvi-dereplicate-genomes.md b/anvio/docs/programs/anvi-dereplicate-genomes.md
index e23938dd71..1f7e76ae4e 100644
--- a/anvio/docs/programs/anvi-dereplicate-genomes.md
+++ b/anvio/docs/programs/anvi-dereplicate-genomes.md
@@ -16,21 +16,21 @@ By default, the output of this program is a directory containing two descriptive
 
 -The cluster report describes is a tab-delimited text file where each row describes a cluster. This file contains four columns: the cluster name, the number of genomes in the cluster, the representative genome of the cluster, and a list of the genomes that are in the cluster. Here is an example describing 11 genomes in three clusters:
 
-    DEREPLICATION-0.97 $ head CLUSTER_REPORT.txt
-    cluster    size    representative    genomes
-    cluster_000001    1    G11_IGD_MAG_00001    G11_IGD_MAG_00001
-    cluster_000002    8    G11_IGD_MAG_00012    G08_IGD_MAG_00008,G33_IGD_MAG_00011,G01_IGD_MAG_00013,G06_IGD_MAG_00023,G03_IGD_MAG_00021,G05_IGD_MAG_00014,G11_IGD_MAG_00012,G10_IGD_MAG_00010
-    cluster_000003    2    G03_IGD_MAG_00011    G11_IGD_MAG_00013,G03_IGD_MAG_00011
+|**cluster**|**size**|**representative**|**genomes**|
+|:--|:--|:--|:--|
+|cluster_000001|1|G11_IGD_MAG_00001|G11_IGD_MAG_00001|
+|cluster_000002|8|G11_IGD_MAG_00012|G08_IGD_MAG_00008,G33_IGD_MAG_00011,G01_IGD_MAG_00013,G06_IGD_MAG_00023,G03_IGD_MAG_00021,G05_IGD_MAG_00014,G11_IGD_MAG_00012,G10_IGD_MAG_00010|
+|cluster_000003|2|G03_IGD_MAG_00011|G11_IGD_MAG_00013,G03_IGD_MAG_00011|
 
 -The subdirectory `GENOMES` contains fasta files describing the representative genome from each cluster. For example, if your original set of genomes had two identical genomes, this program would cluster them together, and the `GENOMES` folder would only include one of their sequences. 
 
 -The fasta report describes the fasta files contained in the subdirectory `GENOMES`. By default, this describes the representative sequence of each of the final clusters. It tells you the genome name, its source, its cluster (and the representative sequence of that cluster), and the path to its fasta file in  `GENOMES`.  So, for the example above, the fasta report would look like this:
 
-    DEREPLICATION-0.97 $ head FASTA_REPORT.txt
-    name    source    cluster    cluster_rep    path
-    G11_IGD_MAG_00001    fasta    cluster_000001    G11_IGD_MAG_00001    GENOMES/G11_IGD_MAG_00001.fa
-    G11_IGD_MAG_00012    fasta    cluster_000002    G11_IGD_MAG_00012    GENOMES/G11_IGD_MAG_00012.fa
-    G03_IGD_MAG_00011    fasta    cluster_000003    G03_IGD_MAG_00011    GENOMES/G03_IGD_MAG_00011.fa
+|**name**|**source**|**cluster**|**cluster_rep**|**path**|
+|:--|:--|:--|:--|:--|
+|G11_IGD_MAG_00001|fasta|cluster_000001|G11_IGD_MAG_00001|GENOMES/G11_IGD_MAG_00001.fa|
+|G11_IGD_MAG_00012|fasta|cluster_000002|G11_IGD_MAG_00012|GENOMES/G11_IGD_MAG_00012.fa|
+|G03_IGD_MAG_00011|fasta|cluster_000003|G03_IGD_MAG_00011|GENOMES/G03_IGD_MAG_00011.fa|
 
 You can also choose to report all genome fasta files (including redundant genomes) (with `--report-all`) or report no fasta files (with `--skip-fasta-report`). This would change the fasta files included in `GENOMES` and the genomes mentioned in the fasta report. The cluster report would be identical.
 
@@ -38,22 +38,23 @@ You can also choose to report all genome fasta files (including redundant genome
 
 You are required to set the threshold for two genomes to be considered redundant and put in the same cluster. 
 
-For example, if you had the results from an %(anvi-compute-genome-similarity)s run where you had used `PyANI` and wanted the threshold to be 90 percent, you would run: 
+For example, if you had the results from an %(anvi-compute-genome-similarity)s run where you had used `pyANI` and wanted the threshold to be 90 percent, you would run: 
 
 {{ codestart }}
-anvi-dereplictate-genomes --ani-dir %(genome-similarity)s \ 
-                          -o path/to/output \
-                          --similiarity-threshold 0.90
+anvi-dereplicate-genomes --ani-dir %(genome-similarity)s \ 
+                         -o path/to/output \
+                         --program pyANI \
+                         --similiarity-threshold 0.90
 {{ codestop }}
 
 If instead you hadn't yet run %(anvi-compute-genome-similarity)s and instead wanted to cluster the genomes in your %(external-genomes)s file with similarity 85 percent or more (no fasta files necessary) using sourmash, you could run: 
 
 {{ codestart }}
-anvi-dereplictate-genomes -e %(external-genomes)s \ 
-                          --skip-fasta-report \
-                          --program sourmash \
-                          -o path/to/output \
-                          --similiarity-threshold 0.85 
+anvi-dereplicate-genomes -e %(external-genomes)s \ 
+                         --skip-fasta-report \
+                         --program sourmash \
+                         -o path/to/output \
+                         --similiarity-threshold 0.85 
 {{ codestop }}
 
 #### Other parameters
diff --git a/anvio/docs/programs/anvi-display-functions.md b/anvio/docs/programs/anvi-display-functions.md
index 43b37c5320..78a614a03c 100755
--- a/anvio/docs/programs/anvi-display-functions.md
+++ b/anvio/docs/programs/anvi-display-functions.md
@@ -4,6 +4,9 @@ It is a powerful way to analyze differentially occurring functions for any sourc
 
 Currently, %(anvi-display-functions)s can work with any combination of genomes from %(external-genomes)s, %(internal-genomes)s, and %(genomes-storage-db)s.
 
+{:.notice}
+If you are only interested in a text output, see the program %(anvi-script-gen-function-matrix-across-genomes)s that can report %(functions-across-genomes-txt)s files.
+
 ### Quick & Simple Run
 
 The simplest way to run this program is as follows:
diff --git a/anvio/docs/programs/anvi-estimate-metabolism.md b/anvio/docs/programs/anvi-estimate-metabolism.md
index d43019799d..22b1e2c37a 100644
--- a/anvio/docs/programs/anvi-estimate-metabolism.md
+++ b/anvio/docs/programs/anvi-estimate-metabolism.md
@@ -1,19 +1,34 @@
-%(anvi-estimate-metabolism)s predicts the metabolic capabilities of organisms based on their genetic content. It relies upon %(kegg-functions)s and metabolism information from [KEGG](https://www.genome.jp/kegg/) (%(kegg-data)s), which is stored in a %(modules-db)s.
+%(anvi-estimate-metabolism)s predicts the metabolic capabilities of organisms based on their genetic content. It relies upon %(kegg-functions)s and metabolism information from [KEGG](https://www.genome.jp/kegg/) (%(kegg-data)s), which is stored in a %(modules-db)s. It can also use user-defined metabolic pathways, as described in %(user-modules-data)s.
 
-The metabolic pathways that this program currently considers are those defined by KEGG Orthologs (KOs) in the [KEGG MODULE resource](https://www.genome.jp/kegg/module.html). Each KO represents a gene function, and a KEGG module is a set of KOs that collectively carry out the steps in a metabolic pathway.
+The metabolic pathways that this program considers (by default) are those defined by KEGG Orthologs (KOs) in the [KEGG MODULE resource](https://www.genome.jp/kegg/module.html). Each KO represents a gene function, and a KEGG module is a set of KOs that collectively carry out the steps in a metabolic pathway.
 
-Given a properly annotated %(contigs-db)s, this program determines which KOs are present and uses these functions to compute the completeness of each KEGG module. The output is one or more tabular text files - see %(kegg-metabolism)s for the output description and examples.
+Alternatively or additionally, you can define your own set of metabolic modules and estimate their completeness with this program. Detailed instructions for doing this can be found by looking at the %(user-modules-data)s and  %(anvi-setup-user-modules)s pages.
+
+Given a properly annotated %(contigs-db)s, this program determines which enzymes are present and uses these functions to compute the completeness of each metabolic module. There are currently two strategies for estimating module completeness - pathwise and stepwise - which are discussed in the technical details section on this page. The output of this program is one or more tabular text files - see %(kegg-metabolism)s for the output description and examples.
 
 For a practical tutorial on how to use this program, visit [this link](https://merenlab.org/tutorials/infant-gut/#chapter-v-metabolism-prediction). A more abstract discussion of available parameters, as well as technical details about how the metabolism estimation is done, can be found below.
 
+## What metabolism data can I use?
+
+You have three options when it comes to estimating metabolism.
+
+1. KEGG only (this is the default). In this case, estimation will be run on modules from the KEGG MODULES database, which you must set up on your computer using %(anvi-setup-kegg-kofams)s. If you have a default setup of KEGG, you need not provide any parameters to choose this option. However, if you have your KEGG data in a non-default location on your computer, you will have to use the `--kegg-data-dir` parameter to point out its location.
+2. KEGG + USER data. In this case, we estimate on KEGG modules as in (1), but _also_ on user-defined metabolic modules that you set up with %(anvi-setup-user-modules)s and provide to this program with the `--user-modules` parameter.
+3. USER data only. You can elect to skip estimation on KEGG modules and _only_ run on your own data by providing both the `--user-modules` and `--only-user-modules` parameters.
+
 ## Prerequisites to using this program
 
-Metabolism estimation relies on gene annotations from the functional annotation source 'KOfam', also referred to as %(kegg-functions)s. Therefore, for this to work, you need to have annotated your %(contigs-db)s with hits to the KEGG KOfam database by running %(anvi-run-kegg-kofams)s prior to using this program.
+Metabolism estimation relies on gene annotations from the functional annotation source 'KOfam', also referred to as %(kegg-functions)s. Therefore, for this to work, you need to have annotated your %(contigs-db)s with hits to the KEGG KOfam database by running %(anvi-run-kegg-kofams)s prior to using this program, unless you are using the `--only-user-modules` option to ONLY estimate on user-defined metabolic modules.
 
 Both %(anvi-run-kegg-kofams)s and %(anvi-estimate-metabolism)s rely on the %(kegg-data)s provided by %(anvi-setup-kegg-kofams)s, so if you do not already have that data on your computer, %(anvi-setup-kegg-kofams)s needs to be run first. To summarize, these are the steps that need to be done before you can use %(anvi-estimate-metabolism)s:
 
 1. Run %(anvi-setup-kegg-kofams)s to get data from KEGG onto your computer. This step only needs to be done once.
-2. Run %(anvi-run-kegg-kofams)s to annotate your %(contigs-db)s with %(kegg-functions)s. This program must be run on each contigs database that you want to estimate metabolism for.
+2. [If not using `--only-user-modules`] Run %(anvi-run-kegg-kofams)s to annotate your %(contigs-db)s with %(kegg-functions)s. This program must be run on each contigs database that you want to estimate metabolism for.
+
+If you want to estimate for your own metabolism data, then you have a couple of extra steps to go through:
+
+3. Define your own metabolic modules by following the formatting guidelines described [here](https://merenlab.org/software/anvio/help/main/programs/anvi-setup-user-modules/#how-do-i-format-the-module-files) and [here](https://merenlab.org/software/anvio/help/main/artifacts/user-modules-data/#a-step-by-step-guide-to-creating), and then run %(anvi-setup-user-modules)s to parse them into a %(modules-db)s,
+4. Annotate your %(contigs-db)s with the functional annotation sources that are required for your module definitions. This may require running a few different programs. For instance, if your modules are defined in terms of NCBI COGS (ie, the `COG20_FUNCTION` annotation source), you will need to run %(anvi-run-ncbi-cogs)s. If you are using a set of custom HMMs, you will need to run %(anvi-run-hmms)s on that set using the `--add-to-functions-table` parameter. If you already have annotations from one or more of these sources, you could also import them into the contigs database using the program %(anvi-import-functions)s.
 
 ## Running metabolism estimation
 
@@ -23,7 +38,10 @@ You can run metabolism estimation on any set of annotated sequences, but these s
 - Bins, also referred to as %(internal-genomes)s. These often represent metagenome-assembled genomes, but generally can be any subset of sequences within a database. A single %(contigs-db)s can contain multiple bins.
 - Assembled, unbinned metagenomes. There is no distinction between sequences that belong to different microbial populations in the %(contigs-db)s for an unbinned metagenome.
 
-As you can see, %(anvi-estimate-metabolism)s always takes one or more contigs database(s) as input, but the information that is taken from those databases depends on the context (ie, genome, metagenome, bin). In the case of internal genomes (or bins), is possible to have multiple inputs but only one input contigs db. So for clarity's sake, we sometimes refer to the inputs as 'samples' in the descriptions below. If you are getting confused, just try to remember that a 'sample' can be a genome, a metagenome, or a bin.
+As you can see, %(anvi-estimate-metabolism)s takes one or more contigs database(s) as input, but the information that is taken from those databases depends on the context (ie, genome, metagenome, bin). In the case of internal genomes (or bins), is possible to have multiple inputs but only one input contigs db. So for clarity's sake, we sometimes refer to the inputs as 'samples' in the descriptions below. If you are getting confused, just try to remember that a 'sample' can be a genome, a metagenome, or a bin.
+
+If you don't have any sequences, there is an additional input option for you:
+- A list of enzymes, as described in an %(enzymes-txt)s file. For the purposes of metabolism estimation, the enzymes in this file will be interpreted as all coming from the same 'genome'.
 
 Different input contexts can require different parameters or additional inputs. The following sections describe what is necessary for each input type.
 
@@ -79,6 +97,17 @@ anvi-estimate-metabolism -c %(contigs-db)s --metagenome-mode
 {: .notice}
 In metagenome mode, this program will estimate metabolism for each contig in the metagenome separately. This will tend to underestimate module completeness because it is likely that many modules will be broken up across multiple contigs belonging to the same population. If you prefer to instead treat all enzyme annotations in the metagenome as belonging to one collective genome, you can do so by simply leaving out the `--metagenome-mode` flag (to effectively pretend that you are doing estimation for a single genome, although in your heart you will know that your contigs database really contains a metagenome). Please note that this will result in the opposite tendency to overestimate module completeness (as the enzymes will in reality be coming from multiple different populations), and there will be a lot of redundancy. We are working on improving our estimation algorithm for metagenome mode. In the meantime, if you are worried about the misleading results from either of these situations, we suggest binning your metagenomes first and running estimation for the bins as described below.
 
+### Estimation for a set of enzymes
+
+Suppose you have a list of enzymes. This could be an entirely theoretical list, or they could come from some annotation data that you got outside of anvi'o - regardless of where you came up with this set, you can figure out what metabolic pathways these enzymes contribute to. All you have to do is format that list as an %(enzymes-txt)s file, and give that input file to this program, like so:
+
+{{ codestart }}
+anvi-estimate-metabolism --enzymes-txt %(enzymes-txt)s
+{{ codestop }}
+
+The program will pretend all of these enzymes are coming from one theoretical 'genome' (though the reality depends on how you defined or obtained the set), so the completion estimates for each metabolic pathway will consider all enzymes in the file. If you want to instead break up your set of enzymes across multiple 'genomes', then you will have to make multiple different input files and run this program on each one.
+
+
 ## MULTI-MODE: Running metabolism estimation on multiple contigs databases
 
 If you have a set of contigs databases of the same type (i.e., all of them are single genomes or all are binned metagenomes), you can analyze them all at once. What you need to do is put the relevant information for each %(contigs-db)s into a text file and pass that text file to %(anvi-estimate-metabolism)s. The program will then run estimation individually on each contigs database in the file. The estimation results for each database will be aggregated and printed to the same output file(s).
@@ -115,9 +144,11 @@ There are many ways to alter the behavior of this program to fit your needs. You
 
 ### Changing the module completion threshold
 
-As explained in the [technical details section](#how-is-the-module-completeness-score-calculated) below, KEGG module completeness is computed as the percentage of steps in the metabolic pathway that are 'present' based on the annotated KOs in the contigs database. If this completeness is larger than a certain percentage, then the entire module is considered to be 'complete' in the sample and the corresponding row in the long-format modules mode output file will have 'True' under the `module_is_complete` column. By default, the module completion threshold is 0.75, or 75%%.
+As explained in the [technical details section](#how-is-the-module-completeness-score-calculated) below, module completeness is computed as the percentage of steps in the metabolic pathway that are 'present' based on the annotated enzymes in the contigs database. If this completeness is larger than a certain percentage, then the entire module is considered to be 'complete' in the sample and the corresponding row in the long-format modules mode output file will have 'True' under the `module_is_complete` column. By default, the module completion threshold is 0.75, or 75%%.
+
+Changing this parameter _usually_ doesn't have any effect other than changing the proportions of 'True' and 'False' values in the `module_is_complete` column of long-format modules mode output (or the proportion of 1s and 0s in the module presence-absence matrix for `--matrix-format` output). It does _not_ alter completeness scores. It also does not affect which modules are printed to the output file, unless you use the `--only-complete` flag (described in a later section). Therefore, the purpose of changing this threshold is usually so that you can filter the output later somehow (i.e., by searching for 'True' values in the long-format output).
 
-Changing this parameter doesn't have any effect other than changing the proportions of 'True' and 'False' values in the `module_is_complete` column of long-format modules mode output (or the proportion of 1s and 0s in the module presence-absence matrix for `--matrix-format` output). It does _not_ alter completeness scores. It also does not affect which modules are printed to the output file, unless you use the `--only-complete` flag (described in a later section). Therefore, the purpose of changing this threshold is usually so that you can filter the output later somehow (i.e., by searching for 'True' values in the long-format output).
+The one exception is when `--add-copy-number` is used. We use the module completeness threshold to determine pathwise copy number of a module, which is based on the number of complete copies of paths through a module. So if you change this threshold, you can expect to see some differences in pathwise copy number values (which are found in certain long-format and matrix output files).
 
 In this example, we change the threshold to 50 percent.
 
@@ -133,6 +164,32 @@ If you have previously annotated your contigs databases using a non-default KEGG
 anvi-estimate-metabolism -c %(contigs-db)s --kegg-data-dir /path/to/directory/KEGG
 {{ codestop }}
 
+### Working with user-defined metabolism data
+
+If you have defined your own set of metabolic modules and generated a %(modules-db)s for them using %(anvi-setup-user-modules)s, you can estimate the completeness of these pathways (in addition to the KEGG modules) by providing the path to the directory containing this data:
+
+{{ codestart }}
+anvi-estimate-metabolism -c %(contigs-db)s --user-modules /path/to/USER/directory
+{{ codestop }}
+
+The `--user-modules` parameter can be used in conjunction with the `--kegg-data-dir` parameter to control which KEGG data is being used at the same time.
+
+### Skipping KEGG data (ie, only working with user-defined metabolism data)
+
+If you wish to only estimate for your own metabolic modules, you can skip estimating for KEGG modules by providing the `--only-user-modules` flag. The nice thing about doing this is that you can skip running %(anvi-run-kegg-kofams)s on your databases (which will save you lots of time and computational resources).
+
+{{ codestart }}
+anvi-estimate-metabolism -c %(contigs-db)s --user-modules /path/to/USER/directory --only-user-modules
+{{ codestop }}
+
+### Including KEGG Orthologs not in KOfam
+
+Sometimes, your input data may have annotations for KOs that are not in the KOfam profiles that we use for annotation. This can happen if you are using %(enzymes-txt)s, or if you have imported external annotations with the source name `KOfam`. By default, we don't consider these annotations, and you will probably see an error message. However, (as suggested in that message) you can explicitly include these non-KOfam annotations into the analysis by providing the flag `--include-kos-not-in-kofam`, like so:
+
+{{ codestart }}
+anvi-estimate-metabolism --enzymes-txt %(enzymes-txt)s --include-kos-not-in-kofam
+{{ codestop }}
+
 ## Output options
 This program has two types of output files: long-format (tab-delimited) output files and matrices. The long-format output is the default. If you are using multi-mode to work with multiple samples, you can request matrix output by using the flag `--matrix-format`.
 
@@ -154,31 +211,32 @@ The program will print a list like the one below and then exit.
 ```
 AVAILABLE OUTPUT MODES
 ===============================================
-kofam_hits_in_modules ........................: Information on each KOfam hit that belongs to a KEGG module
-modules ......................................: Information on KEGG modules
-modules_custom ...............................: A custom tab-delimited output file where you choose the included KEGG modules data using --custom-output-headers
-kofam_hits ...................................: Information on all KOfam hits in the contigs DB, regardless of KEGG module membership
+modules ......................................: Information on metabolic modules
+modules_custom ...............................: A custom tab-delimited output file where you choose the included modules data using --custom-output-headers
+module_paths .................................: Information on each possible path (complete set of enzymes) in a module
+module_steps .................................: Information on each top-level step in a module
+hits .........................................: Information on all enzyme annotations in the contigs DB, regardless of module membership
 ```
 
 Please note that you _must_ provide your input file(s) for this to work.
 
 **Using a non-default output mode**
 
-You can specify one or more long-format output modes using the `--kegg-output-modes` parameter. The mode names must exactly match to one of the available modes from the `--list-available-modes` output.
+You can specify one or more long-format output modes using the `--output-modes` parameter. The mode names must exactly match to one of the available modes from the `--list-available-modes` output.
 
 {{ codestart }}
-anvi-estimate-metabolism -c %(contigs-db)s --kegg-output-modes kofam_hits
+anvi-estimate-metabolism -c %(contigs-db)s --output-modes hits
 {{ codestop }}
 
 **Using multiple output modes**
 
-If you want more than one output mode, you can provide multiple comma-separated mode names to the `--kegg-output-modes` parameter. There should be no spaces between the mode names.
+If you want more than one output mode, you can provide multiple comma-separated mode names to the `--output-modes` parameter. There should be no spaces between the mode names.
 
 {{ codestart }}
-anvi-estimate-metabolism -c %(contigs-db)s --kegg-output-modes kofam_hits,modules
+anvi-estimate-metabolism -c %(contigs-db)s --output-modes hits,modules
 {{ codestop }}
 
-When multiple output modes are requested, a different output file is produced for each mode. All output files will have the same prefix, and the file suffixes specify the output mode. For example, modules mode output has the suffix `_modules.txt` while kofam hits mode has the suffix `_kofam_hits.txt`.
+When multiple output modes are requested, a different output file is produced for each mode. All output files will have the same prefix, and the file suffixes specify the output mode. For example, modules mode output has the suffix `_modules.txt` while hits mode has the suffix `_hits.txt`.
 
 **Viewing available output headers for 'custom' mode**
 
@@ -195,66 +253,69 @@ The program will print a list like the one below and then exit.
 ```
 AVAILABLE OUTPUT HEADERS
 ===============================================
-unique_id ....................................: Just an integer that keeps our data organized. No real meaning here. Always included in output, so no need to specify it on the command line [all output modes]
-kegg_module ..................................: KEGG module number [modules output mode]
-module_is_complete ...........................: Whether a KEGG module is considered complete or not based on its percent completeness and the completeness threshold [modules output mode]
-module_completeness ..........................: Percent completeness of a KEGG module [modules output mode]
-module_name ..................................: English name/description of a KEGG module [modules output mode]
-module_class .................................: Metabolism class of a KEGG module [modules output mode]
-module_category ..............................: Metabolism category of a KEGG module [modules output mode]
-module_subcategory ...........................: Metabolism subcategory of a KEGG module [modules output mode]
-module_definition ............................: KEGG-formatted definition of a KEGG module. Describes the metabolic pathway in terms of the KOS that belong to the module [modules output mode]
-module_substrates ............................: Comma-separated list of compounds that serve as initial input to the metabolic pathway (that is, substrate(s) to the initial reaction(s) in the pathway) [modules output mode]
-module_products ..............................: Comma-separated list of compounds that serve as final output from the metabolic pathway (that is, product(s) of the final reaction(s) in the pathway) [modules output mode]
-module_intermediates .........................: Comma-separated list of compounds that are intermediates the metabolic pathway (compounds that are both outputs and inputs of reaction(s) in the pathway) [modules output mode]
-gene_caller_ids_in_module ....................: Comma-separated list of gene caller IDs of KOfam hits in a module [modules output mode]
-gene_caller_id ...............................: Gene caller ID of a single KOfam hit in the contigs DB. If you choose this header, each line in the output file will be a KOfam hit [all output modes]
-kofam_hits_in_module .........................: Comma-separated list of KOfam hits in a module [modules output mode]
-kofam_hit ....................................: KO number of a single KOfam hit. If you choose this header, each line in the output file will be a KOfam hit [modules output mode]
-contig .......................................: Contig that a KOfam hit is found on. If you choose this header, each line in the output file will be a KOfam hit [all output modes]
-path_id ......................................: Integer ID for a path through a KEGG module. No real meaning and just for data organization. If you choose this header, each line in the output file will be a KOfam hit
-                                                [modules output mode]
-path .........................................: A path through a KEGG module (a linear sequence of KOs that together represent each metabolic step in the module. Most modules have several of these due to KO redundancy). If
-                                                you choose this header, each line in the output file will be a KOfam hit [modules output mode]
-path_completeness ............................: Percent completeness of a particular path through a KEGG module. If you choose this header, each line in the output file will be a KOfam hit [modules output mode]
-warnings .....................................: If we are missing a KOfam profile for one of the KOs in a module, there will be a note in this column. [modules output mode]
-ko ...........................................: KEGG Orthology (KO) number of a KOfam hit [kofams output mode]
-modules_with_ko ..............................: A comma-separated list of modules that the KO belongs to [kofams output mode]
-ko_definition ................................: The functional annotation associated with the KO number [kofams output mode]
-genome_name ..................................: Name of genome/bin/metagenome in which we find KOfam hits and/or KEGG modules [all output modes]
+module .......................................: Module number [modules output mode]
+stepwise_module_is_complete ..................: Whether a module is considered complete or not based on its STEPWISE percent completeness and the completeness threshold [modules output mode]
+stepwise_module_completeness .................: Percent completeness of a module, computed as the number of complete steps divided by the number of total steps (where 'steps' are determined by splitting the module definition
+                                                on the space character) [modules output mode]
+pathwise_module_is_complete ..................: Whether a module is considered complete or not based on its PATHWISE percent completeness and the completeness threshold [modules output mode]
+pathwise_module_completeness .................: Percent completeness of a module, computed as maximum completeness of all possible combinations of enzymes ('paths') in the definition [modules output mode]
+enzymes_unique_to_module .....................: A list of enzymes that only belong to this module (ie, they are not members of multiple modules) [modules output mode]
+unique_enzymes_hit_counts ....................: How many times each unique enzyme appears in the sample (order of counts corresponds to list in `enzymes_unique_to_module` field) [modules output mode]
+proportion_unique_enzymes_present ............: Proportion of enzymes unique to this one module that are present in the sample [modules output mode]
+unique_enzymes_context_string ................: Describes the unique enzymes contributing to the `proportion_unique_enzymes_present` field [modules output mode]
+module_name ..................................: Name/description of a module [modules output mode]
+[....]
 ```
 
 As you can see, this flag is also useful when you want to quickly look up the description of each column of data in your output files.
 
 For each header, the output mode(s) that it is applicable to are listed after the description. The headers you can choose from for `modules_custom` output end in either `[modules output mode]` or `[all output modes]`.
 
-Just as with `--list-available-modes`, you must provide your input file(s) for this to work. In fact, some headers will change depending on which input types you provide.
+Just as with `--list-available-modes`, you must provide your input file(s) for this to work. In fact, some headers will change depending on which input types you provide. You will see additional possible headers if you use the `--add-copy-number` or `--add-coverage` flags (though this only works for single sample inputs, not for Multi Mode - if you wish to get custom output for Multi Mode, it is best to construct your custom header list by looking at the possible headers for your given parameter set for a SINGLE sample from your input file).
 
 **Using custom output mode**
 
 Here is an example of defining the modules output to contain columns with the module number, the module name, and the completeness score. The corresponding headers for these columns are provided as a comma-separated list (no spaces) to the `--custom-output-headers` flag.
 
 {{ codestart }}
-anvi-estimate-metabolism -c %(contigs-db)s --kegg-output-modes modules_custom --custom-output-headers kegg_module,module_name,module_completeness
+anvi-estimate-metabolism -c %(contigs-db)s --output-modes modules_custom --custom-output-headers module,module_name,module_completeness
 {{ codestop }}
 
 **Including modules with 0%% completeness in long-format output**
 
-By default, modules with a completeness score of 0 are not printed to the output files to save on space. But you can explicitly include them by adding the `--include-zeros` flag.
+By default, modules with completeness scores of 0 are not printed to the output files to save on space (both pathwise completeness and stepwise completeness must be 0 to exclude modules from the output). But you can explicitly include them by adding the `--include-zeros` flag.
 
 {{ codestart }}
 anvi-estimate-metabolism -c %(contigs-db)s --include-zeros
 {{ codestop }}
 
+**Including module copy number in long-format output**
+
+You can ask this program to count the number of copies of each module in your input samples by providing the `--add-copy-number` flag:
+
+{{ codestart }}
+anvi-estimate-metabolism -c %(contigs-db)s --output-modes modules,module_paths,module_steps --add-coverage
+{{ codestop }}
+
+Just like module completeness, copy number can be calculated using two different strategies. You can find information about the calculations in the technical details section below, and information about what copy number output looks like in %(kegg-metabolism)s.
+
+This flag also works for matrix output.
+
 **Including coverage and detection in long-format output**
 
 If you have a profile database associated with your contigs database and you would like to include coverage and detection data in the metabolism estimation output files, you can use the `--add-coverage` flag. You will need to provide the profile database as well, of course. :)
 
 {{ codestart }}
-anvi-estimate-metabolism -c %(contigs-db)s -p %(profile-db)s --output-modes modules,hits_in_modules,hits --add-coverage
+anvi-estimate-metabolism -c %(contigs-db)s -p %(profile-db)s --output-modes modules,hits --add-coverage
+{{ codestop }}
+
+This option also works for the `--enzymes-txt` input option, provided that you include _both_ a `coverage` column and a `detection` column in the %(enzymes-txt)s input file.
+
+{{ codestart }}
+anvi-estimate-metabolism --enzymes-txt %(enzymes-txt)s --add-coverage
 {{ codestop }}
 
-For `hits_in_modules` and `hits` mode output files, in which each row describes one enzyme annotation for a gene in the contigs database, the output will contain two additional columns per sample in the profile database. One column will contain the mean coverage of that particular gene call by reads from that sample and the other will contain the detection of that gene in the sample.
+For `hits` mode output files, in which each row describes one enzyme annotation for a gene in the contigs database, the output will contain two additional columns per sample in the profile database. One column will contain the mean coverage of that particular gene call by reads from that sample and the other will contain the detection of that gene in the sample.
 
 For `modules` mode output files, in which each row describes a metabolic module, the output will contain _four_ additional columns per sample in the profile database. One column will contain comma-separated mean coverage values for each gene call in the module, in the same order as the corresponding gene calls in the `gene_caller_ids_in_module` column. Another column will contain the average of these gene coverage values, which represents the average coverage of the entire module. Likewise, the third and fourth columns will contain comma-separated detection values for each gene call and the average detection, respectively.
 
@@ -265,9 +326,9 @@ anvi-estimate-metabolism -c %(contigs-db)s -p %(profile-db)s --add-coverage --li
 {{ codestop }}
 
 ### Matrix Output
-Matrix format is only available when working with multiple contigs databases. Several output matrices will be generated, each of which describes one statistic such as module completion score, module presence/absence, or KO hit counts. As with long-format output, each output file will have the same prefix and the file suffixes will indicate which type of data is present in the file.
+Matrix format is only available when working with multiple contigs databases. Several output matrices will be generated, each of which describes one statistic such as module completion score, module presence/absence, or enzyme annotation (hit) counts. As with long-format output, each output file will have the same prefix and the file suffixes will indicate which type of data is present in the file.
 
-In each matrix, the rows will describe modules or KOs, the columns will describe your input samples (i.e. genomes, metagenomes, bins), and each cell will be the corresponding statistic. You can see examples of this output format by viewing %(kegg-metabolism)s.
+In each matrix, the rows will describe modules, top-level steps, or enzymes. The columns will describe your input samples (i.e. genomes, metagenomes, bins), and each cell will be the corresponding statistic. You can see examples of this output format by viewing %(kegg-metabolism)s.
 
 **Obtaining matrix-formatted output**
 
@@ -277,27 +338,27 @@ Getting these matrices is as easy as providing the `--matrix-format` flag.
 anvi-estimate-metabolism -i internal-genomes.txt --matrix-format
 {{ codestop }}
 
-**Including KEGG metadata in the matrix output**
+**Including metadata in the matrix output**
 
-By default, the matrix output is a matrix ready for use in other computational applications, like visualizing as a heatmap or performing clustering. That means it has a header line and an index in the right-most column, but all other cells are numerical. However, you may want to instead have a matrix that is annotated with more information, like the names and categories of each module or the functional annotations of each KO. To include this additional information in the matrix output (as columns that occur before the sample columns), use the `--include-metadata` flag.
+By default, the matrix output is a matrix ready for use in other computational applications, like visualizing as a heatmap or performing clustering. That means it has a header line and an index in the right-most column, but all other cells are numerical. However, you may want to instead have a matrix that is annotated with more information, like the names and categories of each module or the functional annotations of each enzyme. To include this additional information in the matrix output (as columns that occur before the sample columns), use the `--include-metadata` flag.
 
 {{ codestart }}
 anvi-estimate-metabolism -i internal-genomes.txt --matrix-format --include-metadata
 {{ codestop }}
 
-Note that this flag only works for matrix output because, well, the long-format output inherently includes KEGG metadata.
+Note that this flag only works for matrix output because, well, the long-format output inherently includes metadata.
 
 **Including rows of all zeros in the matrix output**
 
-The `--include-zeros` flag works for matrix output, too. By default, modules that have 0 completeness (or KOs that have 0 hits) in every input sample will be left out of the matrix files. Using `--include-zeros` results in the inclusion of these items (that is, the inclusion of rows of all zeros).
+The `--include-zeros` flag works for matrix output, too. By default, modules that have 0 completeness (or enzymes that have 0 hits) in every input sample will be left out of the matrix files. Using `--include-zeros` results in the inclusion of these items (that is, the inclusion of rows of all zeros).
 
 {{ codestart }}
 anvi-estimate-metabolism -i internal-genomes.txt --matrix-format --include-zeros
 {{ codestop }}
 
-**Getting module-specific KO hit matrices**
+**Getting module-specific enzyme matrices**
 
-The standard KO hit matrix includes all KOfams that were annotated at least once in your input databases (or all KOfams that we know about, if `--include-zeros` is used). But sometimes you might want to see a matrix with only the KOs from a particular metabolic pathway. To do this, pass a comma-separated (no spaces) list of KEGG module numbers to the `--module-specific-matrices` flag, and then your matrix output will include KO hit matrices for each module in the list.
+The standard enzyme hit matrix includes all enzymes that were annotated at least once in your input databases (or all enzymes that we know about, if `--include-zeros` is used). But sometimes you might want to see a matrix with only the enzymes from a particular metabolic pathway. To do this, pass a comma-separated (no spaces) list of module numbers to the `--module-specific-matrices` flag, and then your matrix output will include enzyme hit matrices for each module in the list.
 
 For example,
 
@@ -308,15 +369,16 @@ anvi-estimate-metabolism -e input_txt_files/external_genomes.txt \
                          -O external_genomes
 {{ codestop }}
 
-will produce the output files `external_genomes-M00001_ko_hits-MATRIX.txt` and `external_genomes-M00009_ko_hits-MATRIX.txt` (in addition to the typical output matrices). Each additional output matrix will include one row for each KO in the module, in the order it appears in the module definition. It will also include comment lines for each major step (or set of steps) in the module definition, to help with interpreting the output.
+will produce the output files `external_genomes-M00001_enzyme_hits-MATRIX.txt` and `external_genomes-M00009_enzyme_hits-MATRIX.txt` (in addition to the typical output matrices). Each additional output matrix will include one row for each enzyme in the module, in the order it appears in the module definition. It will also include comment lines for each major step (or set of steps) in the module definition, to help with interpreting the output.
 
 Check out this (partial) example for module M00001:
 ```
-KO	isolate	E_faecalis_6240	test_2
-# (K00844,K12407,K00845,K00886,K08074,K00918)
+enzyme	isolate	E_faecalis_6240	test_2
+# (K00844,K12407,K00845,K25026,K00886,K08074,K00918)
 K00844	0	0	0
 K12407	0	0	0
-K00845	0	1	0
+K00845	0	0	0
+K25026	0	1	0
 K00886	1	0	1
 K08074	0	0	0
 K00918	0	0	0
@@ -345,10 +407,11 @@ anvi-estimate-metabolism -e input_txt_files/external_genomes.txt \
 
 In this case, the above file would look like this:
 ```
-KO	isolate	E_faecalis_6240	test_2
+enzyme	isolate	E_faecalis_6240	test_2
 K00844	0	0	0
 K12407	0	0	0
-K00845	0	1	0
+K00845	0	0	0
+K25026	0	1	0
 K00886	1	0	1
 K08074	0	0	0
 K00918	0	0	0
@@ -363,6 +426,16 @@ K00918	0	0	0
 [....]
 ```
 
+**Including copy number in matrix output**
+
+The `--add-copy-number` flag, which was discussed above for including module copy number values in long-format output, also works for matrix output:
+
+{{ codestart }}
+anvi-estimate-metabolism -i internal-genomes.txt --matrix-format --add-copy-number
+{{ codestop }}
+
+When you use this flag, you will get matrices describing copy number statistics in addition to the typical set of matrix output files.
+
 ### Other output options
 
 Regardless of which output type you are working with, there are a few generic options for controlling how the output files look like.
@@ -377,12 +450,12 @@ anvi-estimate-metabolism -c %(contigs-db)s -O my-cool-prefix
 
 **Including only complete modules in the output**
 
-Remember that module completion threshold? Well, you can use that to control which modules make it into your output files. If you provide the `--only-complete` flag, then any module-related output files will only include modules that have a completeness score at or above the module completion threshold. (This doesn't affect KO-related outputs, for obvious reasons.)
+Remember that module completion threshold? Well, you can use that to control which modules make it into your output files. If you provide the `--only-complete` flag, then any module-related output files will only include modules that have a completeness score at or above the module completion threshold. (This doesn't affect enzyme-related outputs, for obvious reasons.)
 
 Here is an example of using this flag with long-format output (which is the default, as described above, but we are asking for it explicitly here just to be clear):
 
 {{ codestart }}
-anvi-estimate-metabolism -c %(contigs-db)s --kegg-output-modes modules --only-complete
+anvi-estimate-metabolism -c %(contigs-db)s --output-modes modules --only-complete
 {{ codestop }}
 
 And here is an example of using this flag with matrix output. In this case, we are working with multiple input samples, and the behavior of this flag is slightly different: a module will be included in the matrix if it is at or above the module completion threshold in **at least one sample**. If there are any samples in which that module's completeness is below the threshold, its completeness in that sample will be **represented by a 0.0** in the matrix, regardless of its actual completeness score.
@@ -413,6 +486,14 @@ This means that the %(modules-db)s used by %(anvi-run-kegg-kofams)s has differen
 2. You have multiple versions of %(kegg-data)s on your computer in different locations, and you used different ones for %(anvi-run-kegg-kofams)s and %(anvi-estimate-metabolism)s. If this is what you did, then there is an easy fix - simply find the KEGG data directory containing the MODULES.db with the same content hash (you can use %(anvi-db-info)s on the MODULES.db to find the hash value) as the one used by %(anvi-run-kegg-kofams)s and submit that location with `--kegg-data-dir` to this program.
 3. Your collaborator gave you some databases that they annotated with a different version of %(kegg-data)s than you have on your computer. In this case, either you or they (or both) have probably been using a non-default (or outdated) version of %(kegg-data)s. If they have the current default snapshot of KEGG data but you do not, then you'll need to get that version onto your computer using the default usage of %(anvi-setup-kegg-kofams)s. Otherwise, your collaborator will need to somehow share all or part of their KEGG data directory with you before you can work on their databases. See %(anvi-setup-kegg-kofams)s for details on how to share non-default setups of %(kegg-data)s.
 
+Note that you can also get this sort of error with user-defined metabolic modules, but only if you are estimating from JSON data (in which case the JSON file was generated using a different user-defined %(modules-db)s).
+
+
+## What to do if estimation is not working as expected for user-defined metabolic modules?
+
+If you are estimating completeness of user-defined modules and find that the results are not as expected, you should double check your module files to make sure the pathway is defined properly. Are the enzyme accession numbers in the DEFINITION correct? Do you have the proper ANNOTATION_SOURCE for each enzyme, and are these lines spelled properly and matching to the annotation sources in your contigs database(s)? If you are using custom HMM profiles, did you remember to use the `--add-to-functions-table` parameter?
+
+If these things are correct but you are still not finding an annotation for one or more enzymes that you _know_ should be in your sequence data, consider why those annotations might not be there - perhaps the e-values are too low for the annotations to be kept in the database? Keep in mind that you can always try to add enzyme annotations (with the proper sources) to your database using %(anvi-import-functions)s before running %(anvi-estimate-metabolism)s again.
 
 ## Technical Details
 
@@ -421,11 +502,13 @@ This means that the %(modules-db)s used by %(anvi-run-kegg-kofams)s has differen
 Regardless of which input type is provided to this program, the basic requirements for metabolism estimation are 1) a set of metabolic pathway definitions, and 2) a 'pool' of gene annotations.
 
 #### Module Definitions
-Currently, the only option for metabolic pathway definitions that is available to this program is the [KEGG MODULE resource](https://www.genome.jp/kegg/module.html). The program %(anvi-setup-kegg-kofams)s acquires the definitions of these modules using the KEGG API and puts them into the %(modules-db)s. The definitions are strings of KEGG Ortholog (KO) identifiers, representing the functions necessary to carry out each step of the metabolic pathway. Let's use module [M00018](https://www.genome.jp/kegg-bin/show_module?M00018), Threonine Biosynthesis, as an example. Here is the module definition, in picture form:
+One set of metabolic pathway definitions that is always used by this program is the [KEGG MODULE resource](https://www.genome.jp/kegg/module.html). You can also define your own set of metabolic modules, but the definition format and estimation strategy will be the same. So for brevity's sake, the following discussion will cover the KEGG data case.
+
+The program %(anvi-setup-kegg-kofams)s acquires the definitions of these modules using the KEGG API and puts them into the %(modules-db)s. The definitions are strings of KEGG Ortholog (KO) identifiers, representing the functions necessary to carry out each step of the metabolic pathway. Let's use module [M00018](https://www.genome.jp/kegg-bin/show_module?M00018), Threonine Biosynthesis, as an example. Here is the module definition, in picture form:
 
 ![Module M00018 Definition](../../images/M00018.png){:.center-img .width-50}
 
-This biosynthesis pathway has five steps, or chemical reactions. The [first reaction](https://www.genome.jp/dbget-bin/www_bget?R00480) in the pathway requires an aspartate kinase enzyme (also known as a homoserine dehydrogenase), and there are four possible orthologs known to encode this function: K00928, K12524, K12525, or K12526. Only one of these genes is required to be able to carry out this step. In contrast, the [second reaction](https://www.genome.jp/dbget-bin/www_bget?R02291) can be fulfilled by only one known KO, the aspartate-semialdehyde dehydrogenase [K00133](https://www.genome.jp/dbget-bin/www_bget?ko:K00133).
+This biosynthesis pathway has five major steps, or chemical reactions (we call these major steps 'top-level steps', which will be important later). The [first reaction](https://www.genome.jp/dbget-bin/www_bget?R00480) in the pathway requires an aspartate kinase enzyme (also known as a homoserine dehydrogenase), and there are four possible orthologs known to encode this function: K00928, K12524, K12525, or K12526. Only one of these genes is required to be able to carry out this step. In contrast, the [second reaction](https://www.genome.jp/dbget-bin/www_bget?R02291) can be fulfilled by only one known KO, the aspartate-semialdehyde dehydrogenase [K00133](https://www.genome.jp/dbget-bin/www_bget?ko:K00133).
 
 The definition string for module M00018 is this:
 
@@ -447,28 +530,41 @@ This is the definition string for module M00011:
 (K00164+K00658+K00382,K00174+K00175-K00177-K00176) (K01902+K01903,K01899+K01900,K18118) (K00234+K00235+K00236+K00237,K00239+K00240+K00241-(K00242,K18859,K18860),K00244+K00245+K00246-K00247) (K01676,K01679,K01677+K01678) (K00026,K00025,K00024,K00116)
 ```
 
-And here is a detail that is difficult to tell from the pictorial definition - not all enzyme components are equally important. You can see in the definition string that KO components of an enzyme are connected with either '+' signs or '-' signs. The '+' sign indicates that the following KO is an essential component of the enzyme, while the '-' sign indicates that it is non-essential. For the purposes of module completeness estimation, we only consider a reaction to be fulfilled if all the _essential_ component KOs are present in the annotation pool (and we don't care about the 'non-essential' components). So, for example, we would consider the first step in this pathway complete if just K00174 and K00175 were present. The presence/absence of either K00177 or K00176 would not affect the module completeness score at all.
+And here is a detail that is difficult to tell from the pictorial definition - not all enzyme components are equally important. You can see in the definition string that KO components of an enzyme complex are connected with either '+' signs or '-' signs. The '+' sign indicates that the following KO is an essential component of the enzyme, while the '-' sign indicates that it is non-essential. For the purposes of module completeness estimation, we only consider a reaction to be fulfilled if all the _essential_ component KOs are present in the annotation pool (and we don't care about the 'non-essential' components). So, for example, we would consider the first step in this pathway complete if just K00174 and K00175 were present. The presence/absence of either K00177 or K00176 would not affect the module completeness score at all.
 
-Module definitions can be even more complex than this. Both of these examples had exactly five steps, no matter which set of KOs you use to fulfill each reaction. However, in some modules, there can be alternative sets with different numbers of steps. In addition, some modules (such as [M00611](https://www.genome.jp/kegg-bin/show_module?M00611), the module representing photosynthesis), are made up of _other_ modules, in which case they are only complete if their component modules are complete.
+Module definitions can be even more complex than this. Both of these examples had exactly five top-level steps, no matter which set of KOs you use to fulfill each reaction. However, in some modules, there can be alternative sets with different numbers of steps. In addition, some modules (such as [M00611](https://www.genome.jp/kegg-bin/show_module?M00611), the module representing photosynthesis), are made up of _other_ modules, in which case they are only complete if their component modules are complete.
 
 Hopefully this information will help you understand our estimation strategies in the next section.
 
-#### KOfam annotations
+#### KOfam (enzyme) annotations
 For metabolism estimation to work properly, gene identifiers in the pool of annotations must match to the gene identifiers used in the pathway definitions. For KEGG MODULEs, we rely on annotations from the [KEGG KOfam database](https://www.genome.jp/tools/kofamkoala/), which is a set of HMM profiles for KEGG Orthologs (KOs). The program %(anvi-run-kegg-kofams)s can annotate your %(contigs-db)s with hits to the KEGG KOfam database. It adds these annotations under the source name 'KOfam'.
 
 Which of the annotations are considered for metabolism estimation depends on the input context. If you are working with isolate genomes (ie, _not_ metagenome mode or bins), then all of the annotations under source 'KOfam' will be used. If you are working with bins in metagenomes, then for each bin, only the 'KOfam' annotations that are present in that bin will be in the annotation pool. Finally, for metagenome mode, since estimation is done for each contig separately, only the annotations present in each contig will be considered at a time.
 
+User-defined metabolic modules must specify the annotation source(s) needed to find their component enzymes in your data. Adding these annotation sources to your contigs databases may require running a variety of programs. However, `anvi-estimate-metabolism` loads these gene annotations and uses them in the same way as it does 'KOfam' annotations for KEGG data.
+
+### Two estimation strategies - pathwise and stepwise
+
+We currently have two ways of estimating the completeness of a module, which differ in how we decompose the module DEFINITION string into smaller parts.
+
+For the 'pathwise' strategy, we consider all possible 'paths' through the module - each alternative set of enzymes that could be used together to catalyze every reaction in the metabolic pathway. After calculating the percent completeness in all possible paths, we take the maximum completeness to be the pathwise completeness score of the module as a whole. This is the most granular way of estimating module completeness because we consider all the possible alternatives.
 
-### How is the module completeness score calculated?
+For the 'stepwise' strategy, we break down the module DEFINITION into its major, or 'top-level', steps. Each "top-level" step usually represents one metabolic reaction in the pathway, and is defined by one or more enzymes that either work together or serve as alternatives to each other to catalyze this reaction. We use the available enzyme annotations to determine whether each step can be catalyzed or not - just a binary value representing whether the step is present or not. Then we compute the stepwise module completeness as the percent of present top-level steps. This is the least granular way of estimating module completeness because we do not distinguish between enzyme alternatives - these are all considered as one step which is either entirely present or entirely absent.
 
-For demonstration purposes, let's talk through the estimation of module completeness for one module, in one 'sample' (ie a genome, bin, or contig in a metagenome). Just keep in mind that the steps described below are followed for each module in each sample.
+The pathwise and stepwise strategies also apply to copy number calculations, in which enzyme annotations are allocated to create different copies of a path, step, or module. Path copy number is computed as the number of complete copies of a path through a module, and a module's pathwise copy number is then calculated as the maximum copy number of any of its paths that have the highest completeness score. Step copy number is the number of complete copies of a top-level step, and a module's stepwise copy number is the minimum copy number of all of its top--level steps.
 
-#### Step 1: Unrolling module definitions
+Confused? Yeah, this is complicated stuff! But hopefully the illustrative examples in the next few sections will clear it up.
+
+### How is pathwise completeness/copy number calculated?
+
+For demonstration purposes, let's talk through the estimation of pathwise completeness and copy number for one module, in one 'sample' (ie a genome, bin, or contig in a metagenome). Just keep in mind that the steps described below are followed for each module in each sample.
+
+#### Part 1: Unrolling module definitions
 As you saw above in the module examples, there can be multiple alternative KOs for a given step in a pathway. This means that there can be more than one way to have a 'complete' metabolic module. Therefore, to estimate completeness, we first have to identify all possible 'paths' through the module definition, where a 'path' is a set of KOs that could make the module complete (if they were all present in the annotation pool).
 
-`anvi-estimate-metabolism` uses a recursive algorithm to "unroll" the module definition string into a list of all possible paths. First, the definition string is split into its component steps (which are separated by spaces). Each step is either an atomic step, a protein complex (KO components separated by '+' or '-'), or a compound step (multiple alternatives, separated by commas). Compound steps and protein complexes are recursively broken down until we have only atomic steps. An atomic step can be a single KO, a module number, a nonessential KO starting with '-', or '--' (a string indicating that there is a reaction for which we do not have a KO). We use the atomic steps to build a list of alternative paths through the module definition. Protein complexes are split into their respective components using this strategy to find all possible alternative complexes, and then these complexes (with all their component KOs) are used to build the alternative paths.
+`anvi-estimate-metabolism` uses a recursive algorithm to "unroll" the module definition string into a list of all possible paths. First, the definition string is split into its top-level steps (which are separated by spaces). Each step is either an atomic step, a protein complex (KO components separated by '+' or '-'), or a compound step (multiple alternatives, separated by commas). Compound steps and protein complexes are recursively broken down until we have only atomic steps. An atomic step can be a single KO, a module number, a nonessential KO starting with '-', or `--` (a string indicating that there is a reaction for which we do not have a KO). We use the atomic steps to build a list of alternative paths through the module definition. Protein complexes are split into their respective components using this strategy to find all possible alternative complexes, and then these complexes (with all their component KOs) are used to build the alternative paths.
 
-Let's see this in action, using the Threonine Biosynthesis module from above as an example. We first split the definition on spaces to get all component steps. Here we show each component step on its own line:
+Let's see this in action, using the Threonine Biosynthesis module from above as an example. We first split the definition on spaces to get all top-level steps. Here we show each top-level step on its own line:
 ```
 (K00928,K12524,K12525,K12526)
 K00133
@@ -509,28 +605,33 @@ By the way, here is one alternative path from the module M00011, just so you kno
 [K00164+K00658+K00382,K01902+K01903,K00234+K00235+K00236+K00237,K01676,K00026]
 ```
 
-#### Step 2: Marking steps complete
+#### Part 2: Marking steps complete
 Once we have our list of alternative paths through the module, the next task is to compute the completeness of each path. Each alternative path is a list of atomic steps or protein complexes. We loop over every step in the path and use the annotation pool of KOs to decide whether the step is complete (1) or not (0). We have the following cases to handle:
 
-1. A single KO - this is easy. If we have an annotation for this KO in our pool of 'KOfam' annotations, then the step is complete. (In our current implementation, we don't pay attention to multiple annotations of the same KO - we only care if there is at least one.)
+1. A single KO - this is easy. If we have an annotation for this KO in our pool of 'KOfam' annotations, then the step is complete (1).
 
-2. A protein complex - remember that these are multiple KOs connected with '+' (if they are essential components) or '-' (if they are non-essential)? Well, for these steps, we compute a fractional completeness based on the number of essential components that are present in the annotation pool. We basically ignore the non-essential KOs. For example, the complex 'K00174+K00175-K00177-K00176' would be considered 50%% complete (a score of 0.5) if only 'K00174' were present in the annotation pool.
+2. A protein complex - remember that these are multiple KOs connected with '+' (if they are essential components) or '-' (if they are non-essential). Well, for these steps, we compute a fractional completeness based on the number of essential components that are present in the annotation pool. We basically ignore the non-essential KOs. For example, the complex 'K00174+K00175-K00177-K00176' would be considered 50%% complete (a score of 0.5) if only 'K00174' were present in the annotation pool.
 
 3. Non-essential KOs - some KOs are marked as non-essential even when they are not part of a protein complex. They look like this: '-K12420', with a minus sign in front of the KO identifier (that particular example comes from module [M00778](https://www.genome.jp/kegg-bin/show_module?M00778)). These steps are ignored for the purposes of computing module completeness.
 
-4. Steps without associated KOs - some reactions do not have a KO identifier, but instead there is the string '--' serving as a placeholder in the module definition. Since we can't annotate the genes required for these steps, we have no idea if they are complete or not, so we always consider them incomplete. Modules that have steps like this can therefore never have 100%% completeness - it is sad, but what can we do? We warn the user about these instances so that they can check manually for any missing steps.
+4. Steps without associated KOs - some reactions do not have a KO identifier, but instead there is the string `--` serving as a placeholder in the module definition. Since we can't annotate the genes required for these steps, we have no idea if they are complete or not, so we always consider them incomplete (0). Modules that have steps like this can therefore never have 100%% completeness - it is sad, but what can we do? We warn the user about these instances so that they can check manually for any missing steps.
 
 5. Modules - finally, some modules are defined by other modules. We can't determine if these steps are complete until we've estimated completeness for every module, so we ignore these for now.
 
-We add up the completeness of each essential step and divide by the number of essential steps to get the completeness score for a given path through the module.
+To get the completeness score for a given path through the module, we first add up the completeness of each essential step in the path and then we divide that sum by the number of essential steps.
 
-#### Step 3: Module completeness
+#### Part 3: Module completeness
 By this time, we have a completeness score (a fraction between 0 and 1) for every possible path through the module. To get the completeness score for the module overall, we simply take the maximum of all these completeness scores.
 
+{:.notice}
+Why take the maximum? We are assuming here that if the metabolic pathway is actually being used in a cell (which we can't know for sure without doing some transcriptomics and possibly metabolomics), the most complete set of enzymes in that pathway is the most likely to be used. This is certainly a questionable assumption, but we need to make some choices like this in order to summarize the data, so we do it. It gets tricker to interpret this number when there is more than one path through the module that has the maximum completeness score - which one is being used? We cannot know just from (meta)genomics data, so it would take additional data types or knowledge of the biological system to figure this out.
+
 We can then check this number against the module completeness threshold (which is 0.75 by default). If the module completeness score is greater than or equal to the threshold, we mark the module as 'complete'. This boolean value is meant only as a way to easily filter through the modules output, and you shouldn't put too much stock in it because it covers up a lot of nuances, as you can tell from the details above :).
 
-#### Step 4: Adjusting completeness
-But don't forget that there are some modules defined by other modules. These are usually what KEGG calls 'Signature Modules', which are collections of KOs that collectively encode some phenotype, rather than a typical pathway of chemical reactions. For these modules, we have to go back and adjust the completeness score after we know the completeness of its component modules. To do this, we basically re-do the previous two tasks to recompute the number of complete steps in each path and the overall completeness of the module. This time, when we reach a 'Module' atomic step (case 5), we take that module's fractional completeness score to be the completeness of the step.
+Note that some modules, especially those with a lot of possible paths, can have more than one path which has the maximum completeness score (that is, the score that determines the completeness of the module). This will be important later for calculating pathwise copy number, so we keep track of all of the paths with this maximum completeness score.
+
+#### Part 4: Adjusting completeness
+But don't forget that there are some modules defined by other modules. These are usually what KEGG calls 'Signature Modules', which are collections of enzymes that collectively encode some phenotype, rather than a typical pathway of chemical reactions. For these modules, we have to go back and adjust the completeness score after we know the completeness of its component modules. To do this, we basically re-do the previous two tasks to recompute the number of complete steps in each path and the overall completeness of the module. This time, when we reach a 'Module' atomic step (case 5), we take that module's fractional completeness score to be the completeness of the step.
 
 As an example, consider module [M00618](https://www.genome.jp/kegg-bin/show_module?M00618), the Acetogen signature module. Its definition is
 ```
@@ -538,6 +639,205 @@ M00377 M00579
 ```
 Suppose module M00377 had a completeness score of 0.7 and module M00579 had a score of 0.4, based on the prior estimations. Then the completeness score of the `[M00377,M00579]` path would be (0.7+0.4)/2 = 0.55. Since this is the only possible path through the module, M00618 is 55%% complete.
 
+#### Part 5: Path copy number
+
+In reality, this part is actually done at the same time as Part 2, but it is easier to understand if we think of it separately. We have all our possible paths through the module from Part 1, and we need to figure out the copy number of each path. To do this, we look at the number of annotations of each atomic step in the path. Here is how we handle each atomic step:
+
+1. A single KO - the copy number of this atomic step is equal to the number of annotations (hits) of this enzyme. If the atomic step is K00133 and you have 5 genes annotated with K00133, then you have 5 copies of that step. If you have 0 annotations, then the step copy number is 0. This is the simplest case.
+
+2. A protein complex - these are a bit tricky. Once again, we ignore the non-essential components and only consider essential ones. But we use the number of annotations to figure out how many _complete_ copies of the protein complex exist in the input sample. For example, suppose we have 2 annotations for K00174 and 3 annotations for K00175. These are the only two essential components in the complex 'K00174+K00175-K00177-K00176'. Since we have at least two annotations for both of these enzymes, we have two copies of the complex. What about the third annotation for K00175? Well, it can't do much all by itself. This hypothetical third copy of the complex is only 50%% complete (1 out of 2 essential components), which is less than the default module completeness threshold of 75%%. So we ignore it, and say that we have 2 copies of the enzyme complex. _However, this calculation can change if you were to adjust the module completeness threshold._ If you set the threshold to be 50%% or lower, then 50%% is enough to consider the third copy of the complex complete (in which case, we would say that we have 3 copies of the enzyme complex).
+
+3. Non-essential KOs - just like we ignore these steps when computing completeness, we also ignore them when computing copy number.
+
+4. Steps without associated KOs (the `--` case) - Just like we always consider these atomic steps to be incomplete, we also always give them a copy number of 0.
+
+5. Modules - as you might guess, the copy number of these atomic steps are obtained later, after we've computed copy number for every other module. There is an adjustment step for copy number just like there is one for completeness (Part 4 above).
+
+To get the copy number for a given path through the module, we determine the number of complete copies of the path. This is the same as the way we handle copy number of protein complexes, as described above. And it _also depends on the module completeness threshold_. Suppose a path has 4 essential atomic steps (call them A,B,C, and D) with the following copy numbers: 4,3,1, and 2. Using the default completeness threshold of 0.75, we need at least 3 out of 4 atomic steps to be present in order for a copy of the path to be considered complete. There is one copy that has all 4 steps, one copy that has 3/4, one copy that has 2/4 and one that has 1/4. This is perhaps easier to see in graph form, with atomic steps on the x-axis and atomic step copy number on the y-axis:
+
+```
+X
+X X
+X X   X  <-- (3/4 enzymes present)
+X X X X  <-- (4/4 enzymes present)
+A B C D
+```
+
+Each copy of the path is a horizontal row of X's in the simple graphic above. There are 2 copies of the path with at least 3/4 atomic steps in the list (marked with arrows), which means that the path copy number is 2.
+
+#### Part 6: Module copy number
+
+Once we have the completeness scores and copy numbers of all possible paths through the module, we can compute the copy number of the module itself. Remember from Part 3 that we saved the paths which have the highest completeness score? We take the maximum copy number of those paths of highest completeness.
+
+So if the module does not have any complete paths, then its copy number is 0. If it has one complete path, then its copy number is the copy number of that path. If there are multiple paths with highest completeness score, then its copy number is the maximum of the copy numbers of those paths - for example, let's say we have two paths, both of which are 90%% complete. One of those paths has a copy number of 1 and the other has a copy number of 3. The module copy number would be 3 in this case.
+
+{:.notice}
+We're making assumptions here again, just like we were when computing module completeness. Any of those paths (or none of them) could be the one that is used in the cell, and we don't know which one. But the idea here is that if a sample has the most copies of path X, there is probably a good reason that is has that many copies because microbial cells like to streamline their genomes whenever possible.
+
+One last note - if a module does not have any paths of highest completeness, we cannot compute the copy number. In this case, the copy number of the module will be reported as 'NA' in the output file(s).
+
+#### Part 7: Adjusting copy number
+
+This part is analogous to Part 4, in that we go back later to adjust the copy number of modules defined by other modules. We set the copy number of a module atomic step to be the previously-computed copy number of that module (if any). The tricky bit here is that some modules can have a copy number of 'NA'. When this is the case for one of our atomic steps, we make the adjusted module copy number 'NA' as well.
+
+#### Pathwise Strategy Summary
+In short: pathwise module completeness in a given sample is calculated as the maximum fraction of essential KOs (enzymes) that are annotated in the sample, where the maximum is taken over all possible sets of KOs (enzymes) from the module definition. Likewise, pathwise module copy number is calculated as the maximum copy number of any path with the module's completeness score.
+
+These values get harder to interpret when we are considering metagenomes rather than the genomes of individual organisms. There could be lots of different paths through a module used by different populations in a metagenome, but the module completeness/copy number values would summarize only the most common path(s). For situations like this, it is a good idea to take advantage of the ['module_paths' output mode](https://anvio.org/help/main/artifacts/kegg-metabolism/#module-paths-mode) to look at these scores for all individual paths through each module.
+
+### How is stepwise completeness/copy number calculated?
+
+Now we'll walk through an example of estimating stepwise completeness and copy number in one sample, again keeping in mind that the following steps are repeated for each module in each sample.
+
+#### Part 1: Top-level steps
+
+For stepwise completeness and copy number, we do our calculations at the level of top-level steps. These are the major steps in a metabolic pathway, each of which usually represents a single chemical reaction. A top-level step describes the enzyme(s) that can be used to catalyze that reaction. We can get the top-level steps of a module by splitting its DEFINITION string by its spaces (not including any spaces within parentheses).
+
+Let's use module [M00018](https://www.genome.jp/kegg-bin/show_module?M00018) as an example again. Earlier we described how M00018 is made up of five major steps, each one of which represents a single reaction in this metabolic pathway.
+
+We take the M00018 DEFINITION string:
+```
+(K00928,K12524,K12525,K12526) K00133 (K00003,K12524,K12525) (K00872,K02204,K02203) K01733
+```
+
+and split it by spaces to get the top-level steps:
+```
+(K00928,K12524,K12525,K12526)
+K00133
+(K00003,K12524,K12525)
+(K00872,K02204,K02203)
+K01733
+```
+
+This is far more straightforward than unrolling the module into all possible paths. For the stepwise metrics, we will focus only on these major steps, and what's more, we will ignore a lot of the nuance that comes from alternative enzymes within a top-level step.
+
+#### Part 2: Step completeness
+
+Unlike pathwise completeness, where we consider all possible alternatives and compute a fractional completeness for each path, a top-level step can only be entirely complete (1) or entirely incomplete (0). In other words, step completeness is binary. We don't care _how_ the step is complete. It doesn't matter which of the enzymes in a step are used to make it complete.
+
+To compute this binary completeness for each top-level step, we convert the step into a Boolean expression by following this set of rules:
+- enzyme accessions (ie, KOs) are replaced with 'True' if the enzyme is annotated in the sample, and otherwise are replaced with 'False'.
+- `--` steps do not have associated enzyme profiles, so we cannot say whether these steps are complete. These are always 'False'.
+- commas represent alternative enzymes, meaning you can use either one or the other. We convert commas into OR relationships.
+- spaces represent sequential enzymes, meaning that you need both (one after the other). We convert spaces into AND relationships.
+- plus signs ('+') represent essential enzyme components, meaning that you need both (at the same time). We convert plus signs into AND relationships.
+- minus signs ('-') represent nonessential enzyme components, meaning that you don't need them. We ignore these.
+- parentheses are kept where they are to maintain proper order of operations.
+
+After this conversion is done, we can simply evaluate the Boolean expression to determine whether or not the step is complete.
+
+Let's use the step `(K00928,K12524,K12525,K12526)` from M00018 as an example. Suppose that both K12524 and K12526 are annotated in the sample. Then this step would be converted into the following Boolean expression:
+```
+(False OR True OR False OR True)
+```
+which evaluates to True, meaning that this step is complete (1).
+
+Here's a more complicated example from module [M00849](https://www.genome.jp/module/M00849+R02082):
+```
+((K00869 (K17942,(K25517+K09128 K25518+K03186))),(K18689 K18690 K22813))
+```
+Suppose the following enzymes are annotated in the sample: K00869, K25517, K09128, K25518, K18689, and K22813. Then this step would become the following Boolean expression:
+```
+((True AND (False OR (True AND True AND True AND False))) OR (True AND False AND True))
+```
+Since this is a bit more complicated, we must evaluate it by following order of operations:
+```
+=> ((True AND (False OR (False))) OR (True AND False AND True))
+=> ((True AND (False)) OR (True AND False AND True))
+=> (False) OR (True AND False AND True))
+=> (False) OR (False)
+=> False
+```
+Since it ultimately evaluates to False, this step is incomplete (0).
+
+Note: if a top-level step includes entire modules in its definition, we skip evaluating its completeness for now.
+
+#### Part 3: Module completeness
+
+Once we've evaluated the binary completeness of each top-level step in a module, we calculate the stepwise completeness of the module by simply taking the percentage of complete top-level steps. So if, for instance, our five top-level steps in M00018 were evaluated like this:
+
+```
+(K00928,K12524,K12525,K12526) => complete (1)
+K00133 => complete (1)
+(K00003,K12524,K12525) => not complete (0)
+(K00872,K02204,K02203) => complete (1)
+K01733 => complete (1)
+```
+Then the overall stepwise completeness of M00018 would be 4/5, or 80%%. If we were using the default module completeness threshold of 0.75, then this module would be considered 'complete' overall based on its stepwise score.
+
+Note: if any of the module's top-level steps are defined by other modules, we skip computing its completeness for now because we don't know the completeness of these steps yet. These will be adjusted in the next section.
+
+#### Part 4: Adjusting completeness
+
+Just like in pathwise completeness, we need to deal with the case when a module is defined by another module. In Part 3, we skipped any modules that have top-level steps defined by other modules. Now, we go back and re-compute the completeness of any of these steps using the Boolean expression from Part 2 (ie, by replacing module accessions with 'True' if their stepwise completeness is above the module completeness threshold, or 'False' otherwise). Then we repeat Part 3 on the affected modules to calculate their overall stepwise completeness.
+
+#### Part 5: Step copy number
+
+Now we need to calculate the copy number of each top-level step. We can do this by converting the step into an _arithmetic expression_ this time, by following a new set of rules:
+- enzyme accessions (ie, KOs) are replaced with the number of annotations this accession has in the given sample.
+- `--` steps are unknown, so we replace these with a count of '0'.
+- commas represent alternative enzymes, meaning you can use either one or the other. We convert commas into addition operations.
+- spaces represent sequential enzymes, meaning that you need both (one after the other). We convert spaces into min() operations.
+- plus signs ('+') represent essential enzyme components, meaning that you need both (at the same time). We convert plus signs into min() operations.
+- minus signs ('-') represent nonessential enzyme components, meaning that you don't need them. We ignore these.
+- parentheses are kept where they are to maintain proper order of operations.
+
+By doing it this way, we take into account all possible ways to complete the step without caring about which of the enzymes are contributing.
+
+Let's go through our examples again, this time with enzyme hit counts. For `(K00928,K12524,K12525,K12526)`, suppose that K12524 was annotated once and K12526 was annotated twice in the sample. Then this step becomes the following arithmetic expression:
+```
+(0 + 1 + 0 + 2)
+=> 3
+```
+This evaluates to a step copy number of 3. K12524 and K12526 can catalyze the same reaction, so their hit counts are combined when we compute the copy number.
+
+Now our complex example, `((K00869 (K17942,(K25517+K09128 K25518+K03186))),(K18689 K18690 K22813))`. Suppose that K00869 was annotated twice, K25517/K09128/K25518 were each annotated once, K03186 was annotated twice, and K18689 was annotated once. The conversion is a little bit more complicated here because we now need min() operations, so let's go through it step-by-step. We do this by following the order of operations - so the innermost set of parentheses are converted first.
+
+First, for the sequential enzyme complexes in `(K25517+K09128 K25518+K03186)`, we require all four enzyme components to be present. So the minimum number of annotations of any of these four components determines the copy number of this part of the step. In other words, this combo is only as strong as its weakest link: `min(K25517,K09128,K25518,K03186)` becomes `min(1,1,1,2)` when we replace the enzyme accessions with their hit counts. We might have 2 copies of component K03186, but because we are limited by the copy numbers of the other three components, we only have 1 copy of this sub-step overall.
+
+The comma in `(K17942,(K25517+K09128 K25518+K03186)` indicates that we can use either `K17942` OR the sequential complexes `(K25517+K09128 K25518+K03186)`. We've already converted the latter set of enzymes, so all that is left is to add the hit count of enzyme K17942 (which happens to be annotated 0 times): `(0 + min(1,1,1,2))`.
+
+To finish up the left side of the step definition, we have an AND relationship between K00869 and the other enzymes in `(K00869 (K17942,(K25517+K09128 K25518+K03186)))`. Since we need both, we take the minimum of K00869's annotation count and of the expression we already converted: `min(2,(0 + min(1,1,1,2)))`.
+
+Moving on to the second half of the step definition, the sequential enzymes in `(K18689 K18690 K22813)` become `min(1,0,0)`.
+
+Finally, we put everything all together, using addition since there is a comma (OR relationship) between the two halves of the definition:
+```
+(min(2,(0 + min(1,1,1,2))) + min(1,0,0))
+```
+
+Here is the evaluation of the resulting arithmetic expression:
+```
+=> (min(2,(0 + 1)) + min(1,0,0))
+=> (min(2,1) + min(1,0,0))
+=> (1 + min(1,0,0))
+=> (1 + 0)
+=> 1
+```
+Ultimately, this step has a copy number of 1. This happened because there was at least one copy of every enzyme in the first half of the step definition (though you wouldn't be able to figure this out just by looking at the step copy number).
+
+Fun fact: this conversion from definition string to arithmetic expression is quite complex for a computer to do, and in the code for this program, it is implemented as a recursive function.
+
+#### Part 6: Module copy number
+
+Every top-level step in the module is connected by an AND relationship - you need all of the steps in order to have the module complete. For this reason, we compute the module stepwise copy number by taking the minimum copy number of all top-level steps. So if we had the following copy numbers for each top-level step in M00018:
+
+```
+(K00928,K12524,K12525,K12526) => 1 copy
+K00133 => 2 copies
+(K00003,K12524,K12525) => 0 copies
+(K00872,K02204,K02203) => 1 copy
+K01733 => 1 copy
+```
+Then the overall stepwise copy number of M00018 would be 0 (because the third step has 0 copies).
+
+To make stepwise copy number easier to interpret, the output files of this program will include the individual step copy numbers in addition to the overall module copy number.
+
+#### Part 7: Adjusting copy number
+
+Once again, we must go back and adjust the copy number for any modules that are defined by other modules. For any top-level step whose definition includes modules, we take the arithmetic expression from Part 5 and replace those module accessions with the pre-computed stepwise copy number of the module. After evaluating the expression to get the copy number of these top-level steps, we can repeat Part 6 to get the module copy number.
+
+#### Stepwise Strategy Summary
+In short: stepwise module completeness in a given sample is calculated as the percentage of complete top-level steps. Likewise, stepwise module copy number is calculated as the minimum copy number of all top-level steps in the module definition.
 
-#### Summary
-For those who prefer the less long-winded approach: module completeness in a given sample is calculated as the maximum fraction of essential KOs that are annotated in the sample, where the maximum is taken over all possible sets of KOs from the module definition.
+To help interpret these stepwise metrics for modules, it is a good idea to look at the ['module_steps' output mode](https://anvio.org/help/main/artifacts/kegg-metabolism/#module-steps-mode) to see the scores for all individual top-level steps in a module.
diff --git a/anvio/docs/programs/anvi-estimate-scg-taxonomy.md b/anvio/docs/programs/anvi-estimate-scg-taxonomy.md
index 5a12bd0f9b..7f70909341 100644
--- a/anvio/docs/programs/anvi-estimate-scg-taxonomy.md
+++ b/anvio/docs/programs/anvi-estimate-scg-taxonomy.md
@@ -1,84 +1,102 @@
-This program **quickly makes taxonomy estimates for genomes, metagenomes, or bins stored in your %(contigs-db)s.**
+This program makes **quick taxonomy estimates for genomes, metagenomes, or bins stored in your %(contigs-db)s** using single-copy core genes.
 
-This is the final step in the scg-taxonomy workflow (described in its entirety [here](http://merenlab.org/2019/10/08/anvio-scg-taxonomy/)). Before running this program, you'll need to have run both %(anvi-setup-scg-taxonomy)s and %(anvi-run-scg-taxonomy)s on the %(contigs-db)s you're working with for this project. 
+You can run this program on an anvi'o contigs database only if you already have setup the necessary databases to assign taxonomy on your computer by running %(anvi-setup-scg-taxonomy)s and annotated the %(contigs-db)s you are working with using %(anvi-run-scg-taxonomy)s, which are described in greater detail in [this document](http://merenlab.org/2019/10/08/anvio-scg-taxonomy/)), which also offers a [comprehensive overview](http://merenlab.org/2019/10/08/anvio-scg-taxonomy/#estimating-taxonomy-in-the-terminal) of what %(anvi-estimate-scg-taxonomy)s can do.
 
-[This tutorial](http://merenlab.org/2019/10/08/anvio-scg-taxonomy/#estimating-taxonomy-in-the-terminal) also includes a comprehensive overview of what this program can do. See that page for more information on all of the features described below. 
+Keep in mind that the scg-taxonomy framework currently uses single-copy core genes found in [GTDB](https://gtdb.ecogenomic.org/) genomes, thus it will not work well for low-completion, viral, or eukaryotic genomes.
 
-Keep in mind that this uses single-copy core genes and their hits in  [GTDB](https://gtdb.ecogenomic.org/), so it will not work well in bins with low completion or for Eukaryotic organisms. 
-
-This program is implicitly run in the interactive interface, when you turn on "Realtime taxonomy estimation for bins (whenever possible)." So, if you've ever wondered where those estimates were coming from, now you know. 
+This same functionality %(anvi-estimate-scg-taxonomy)s is implicitly accessed thorugh the anvi'o %(interactive)s interface, when you turn on real-time taxonomy estimation for bins. So, if you've ever wondered where those estimates were coming from, now you know.
 
 So, what can this program do?
 
 ### 1. Estimate the taxonomy of a single genome
 
-By default, this program wll assume your %(contigs-db)s contains only one genome, and will try to use the single-copy core genes (that were associated with taxonomy when you ran %(anvi-run-scg-taxonomy)s) to try to identify the taxonomy of your genome. 
+By default, this program wll assume your %(contigs-db)s contains only one genome, and will try to use the single-copy core genes (that were associated with taxonomy when you ran %(anvi-run-scg-taxonomy)s) to try to identify the taxonomy of your genome.
 
-When you run 
+When you run
 
 {{ codestart }}
 anvi-estimate-scg-taxonomy -c %(contigs-db)s
 {{ codestop }}
 
-It will give you the best taxonomy hit for your genome. If you would like to see how it got there (by looking at the hits for each of the single-copy core genes), just use the `--debug` flag to see more information, as so: 
+It will give you the best taxonomy hit for your genome. If you would like to see how it got there (by looking at the hits for each of the single-copy core genes), just use the `--debug` flag to see more information, as so:
 
 {{ codestart }}
 anvi-estimate-scg-taxonomy -c %(contigs-db)s \
-                           --debug 
+                           --debug
 {{ codestop }}
 
-### 2. Estimate the taxa within a metagenome 
+### 2. Estimate the taxa within a metagenome
 
-By running this program in metagenome mode, it will assume that your %(contigs-db)s contains multiple genomes and will try to give you an overview of the taxa within it. To do this, it will determine which single-copy core gene has the most hits in your contigs (for example `Ribosomal_S6`), and then will look at the taxnomy hits for that gene across your contigs. The output will be this list of taxonomy results. 
+By running this program in metagenome mode, it will assume that your %(contigs-db)s contains multiple genomes and will try to give you an overview of the taxa within it. To do this, it will determine which single-copy core gene has the most hits in your contigs (for example `Ribosomal_S6`), and then will look at the taxnomy hits for that gene across your contigs. The output will be this list of taxonomy results.
 
 {{ codestart }}
 anvi-estimate-scg-taxonomy -c %(contigs-db)s \
-                           --metagenome-mode 
+                           --metagenome-mode
 {{ codestop }}
 
 If you want to look at a specific gene (instead of the one with the most hits), you can also tell it to do that. For example, to tell it to look at Ribosomal_S9, run
 
 {{ codestart }}
 anvi-estimate-scg-taxonomy -c %(contigs-db)s \
-                           --metagenome-mode  \
+                           --metagenome-mode \
                            --scg-name Ribosomal_S9
 {{ codestop }}
 
-### 3. Look at relative abundance across multiple samples 
+### 3. Look at relative abundance of taxa across samples
 
-If you provide a %(profile-db)s or %(single-profile-db)s, then you'll be able to look at the relative abundance of your taxonomy hits (through a single-copy core gene) across your samples. Essentially, this adds additional columns to your output (one per sample) that descrbe the relative abundance of each hit in each sample. 
+If you provide a merged %(profile-db)s or %(single-profile-db)s, then you'll be able to look at the relative abundance of your taxonomy hits (through a single-copy core gene) across your samples. Essentially, this adds additional columns to your output (one per sample) that descrbe the relative abundance of each hit in each sample.
 
-Running this will look something like this, 
+Running this will look something like this,
 {{ codestart }}
 anvi-estimate-scg-taxonomy -c %(contigs-db)s \
-                           --metagenome-mode  \
-                           --p %(profile-db)s \
+                           --metagenome-mode \
+                           -p %(profile-db)s \
                            --compute-scg-coverages
 {{ codestop }}
 
 For an example output, take a look at [this page](http://merenlab.org/2019/10/08/anvio-scg-taxonomy/#contigs-db--profile-db).
 
-### 4. Estimate the taxonomy of your bins 
+### 4. Estimate the taxonomy of your bins
 
 This program basically looks at each of the %(bin)ss in your %(collection)s as a single genome and tries to assign it taxonomy information. To do this, simply provide a collection, like this:
 
 {{ codestart }}
 anvi-estimate-scg-taxonomy -c %(contigs-db)s \
-                           --C %(collection)s
+                           -C %(collection)s
 {{ codestop }}
 
-You can also look at the relative abundances across your samples at the same time, by running something like this: 
+You can also look at the relative abundances across your samples at the same time, by running something like this:
 
 {{ codestart }}
 anvi-estimate-scg-taxonomy -c %(contigs-db)s \
-                           --C %(collection)s  \
-                           --p %(profile-db)s \
+                           -C %(collection)s \
+                           -p %(profile-db)s \
                            --compute-scg-coverages
 {{ codestop }}
 
+Pro tip: you can use the output that emerges from the following output,
+
+{{ codestart }}
+anvi-estimate-scg-taxonomy -c %(contigs-db)s \
+                           -p %(profile-db)s \
+                           -C %(collection)s \
+                           -o TAXONOMY.txt
+{{ codestop }}
+
+to display the taxonomy of your bins in the anvi'o interactive interface in **collection mode**:
+
+{{ codestart }}
+%(anvi-interactive)s -c %(contigs-db)s \
+                     -p %(profile-db)s \
+                     -C %(collection)s \
+                     --additional-layers TAXONOMY.txt
+{{ codestop }}
+
+That simple.
+
 ### 5. Look at multiple metagenomes at the same time
 
-You can even use this program to look at multiple metagenomes by providing a %(metagenomes)s artifact. This is useful to get an overview of what kinds of taxa might be in your metagenomes, and what kinds of taxa they share. 
+You can even use this program to look at multiple metagenomes by providing a %(metagenomes)s artifact. This is useful to get an overview of what kinds of taxa might be in your metagenomes, and what kinds of taxa they share.
 
 Running this
 
@@ -87,6 +105,6 @@ anvi-estimate-scg-taxonomy --metagenomes %(metagenomes)s \
                            --output-file-prefix EXAMPLE
 {{ codestop }}
 
-will give you an output file containing all taxonomic levels found and their coverages in each of your metagenomes. 
+will give you an output file containing all taxonomic levels found and their coverages in each of your metagenomes.
 
-For a concrete example, check out [this page](http://merenlab.org/2019/10/08/anvio-scg-taxonomy/#many-contigs-dbs-for-many-metagenomes). 
+For a concrete example, check out [this page](http://merenlab.org/2019/10/08/anvio-scg-taxonomy/#many-contigs-dbs-for-many-metagenomes).
diff --git a/anvio/docs/programs/anvi-gen-variability-network.md b/anvio/docs/programs/anvi-gen-variability-network.md
new file mode 100644
index 0000000000..9b2f04e6c3
--- /dev/null
+++ b/anvio/docs/programs/anvi-gen-variability-network.md
@@ -0,0 +1,90 @@
+This program takes in a %(variability-profile-txt)s file reported by the program %(anvi-gen-variability-profile)s, and generates a simple representation of this complex data so it can be visualized as a network.
+
+## Default mode of operation
+
+By default, the program will report an XML file properly formatted to be an input for the open-source network visualization program Gephi:
+
+{{ codestart }}
+anvi-gen-variability-network -i %(variability-profile-txt)s \
+                             -o variability_profile.gexf
+{{ codestop }}
+
+## Reporting a text file instad
+
+Alternatively, the user may ask the results to be reported as a TAB-delimited text file:
+
+{{ codestart }}
+anvi-gen-variability-network -i %(variability-profile-txt)s \
+                             -o variability_output.txt \
+                             --as-matrix
+{{ codestop }}
+
+Reporting the data as a matrix enables quick visualization opportunities using the programs %(anvi-matrix-to-newick)s and %(anvi-interactive)s:
+
+```
+anvi-matrix-to-newick variability_output.txt -o variability_output.newick
+
+anvi-interactive -d variability_output.txt \
+                 -t variability_output.newick \
+                 -p varaibility_profile.db \
+                 --manual
+```
+
+## Using competing nucleotides as features
+
+By default, this program will take every unique nucleotide position which was variable in at least sample and every sample, and then connect samples and positions with edges if a given sample has a variable nucleotide at a given position. This means even if a given variable nucleotide position X differs from the reference nucleotide in different ways in different samples N and M, this approach will be agnostic to that and will simply report that both N and M had a variable nucleotide at the position X.
+
+|sample|X|
+|N|True|
+|M|True|
+
+Alternatively, the user can ask the variation to be reported based on competing nucletoides in a given sample. In that case, if the position X in sample N varies between nucleotides `A` and `G` and in sample M between nucleotides `A` and `T`, the user may get a higher resolution for their inference by asking anvi'o to include 'competing nucleotides' in the report:
+
+|sample|X_AG|X_AT|
+|N|True|False|
+|M|False|True|
+
+This is done through the parameter `--include-competing-NTs`, which requires an option. Currently available options are the following:
+
+* 'default': Returns the default competing nucleotides column from the variability as calculated by anvi'o during profiling.
+* 'noise-robust': When depearture from consenus for a given nt position is close to zero, which means the nt position is almost fixed in the environment the default way to calculate competing nucleotides can yield noisy results simply due to the fact that the second most frequenty nucleotide can be driven by artifacts (such as sequencing error) than biology. For instance, if a given position that is represented by a nucleotide `G` in the reference has SNV frequencies of {'A': 1000, 'T': 1, 'C': 0, 'G': 0} in one sample and {'A': 1000, 'T': 0, 'C': 1, 'G': 0} in the other, the competing nucletoides for this position in the variability table will be `AT` and `AC`, respectively. However, some applications, in which competitive nucleotides are used as categorigal variables to associate samples, may require a more robust apprach. The `noise-robust` alternative would yield `AG` and `AG` for this position in both samples.
+
+{{ codestart }}
+anvi-gen-variability-network -i %(variability-profile-txt)s \
+                             -o variability_profile.gexf \
+                             --include-competing-NTs noise-robust
+{{ codestop }}
+
+## Changing the default report variable
+
+By default, %(anvi-gen-variability-network)s will report the estimate `departure_from_reference` as the quantity that defines the weight of the edges that connect variable nucleotide positions and samples. The edge weight can later be used during network visualization as a factor that influence netowrk convergence. It is possible to change the variable using the parameter `--edge-variable`.
+
+{{ codestart }}
+anvi-gen-variability-network -i %(variability-profile-txt)s \
+                             -o variability_profile.gexf \
+                             --include-competing-NTs noise-robust \
+                             --edge-variable departure_from_consensus
+{{ codestop }}
+
+The parameter will accept any variable reported in the variability profile output. One can always try a parameter that certainly does not exist to get a list of parameters that could be used here to get a list of those that are appropriate to use:
+
+{{ codestart }}
+anvi-gen-variability-network -i %(variability-profile-txt)s \
+                             -o variability_profile.gexf \
+                             --include-competing-NTs noise-robust \
+                             --edge-variable THIS_DOESNT_EXIST
+
+Config Error: The edge weight variable `THIS_DOESNT_EXIST` does not seem to be among those
+              that are represented within the variability data :/ Here is a list of the
+              variables you could choose from (although not each one of them will be equally
+              useful to serve as edge weights in the resulting network, but anvi'o leaves the
+              responsibility to choose something relevant completely to you and will not
+              scrutinize your decision): 'pos', 'pos_in_contig', 'corresponding_gene_call',
+              'in_noncoding_gene_call', 'in_coding_gene_call', 'base_pos_in_codon',
+              'codon_order_in_gene', 'coverage', 'cov_outlier_in_split',
+              'cov_outlier_in_contig', 'departure_from_reference', 'A', 'C', 'G', 'T', 'N',
+              'codon_number', 'gene_length', 'unique_pos_identifier',
+              'departure_from_consensus', 'n2n1ratio', 'entropy', 'gene_coverage',
+              'non_outlier_gene_coverage', 'non_outlier_gene_coverage_std',
+              'mean_normalized_coverage'.
+{{ codestop }}
diff --git a/anvio/docs/programs/anvi-get-sequences-for-gene-clusters.md b/anvio/docs/programs/anvi-get-sequences-for-gene-clusters.md
index 83a581f6d0..6f3ba94748 100644
--- a/anvio/docs/programs/anvi-get-sequences-for-gene-clusters.md
+++ b/anvio/docs/programs/anvi-get-sequences-for-gene-clusters.md
@@ -1,12 +1,14 @@
-This aptly-named program **gets the sequences for the gene clusters stored in a %(pan-db)s and returns them as either a %(genes-fasta)s or a %(concatenated-gene-alignment-fasta)s** (which you can use to run %(anvi-gen-phylogenomic-tree)s). This gives you advanced access to your gene clusters, which you can take out of anvi'o, use for phylogenomic analyses, or do whatever you please with. 
+This aptly-named program **gets the sequences for the gene clusters stored in a %(pan-db)s and returns them as either a %(genes-fasta)s or a %(concatenated-gene-alignment-fasta)s**, which can directly go into the program %(anvi-gen-phylogenomic-tree)s for phylogenomics. This gives you advanced access to your gene clusters, so you can take them out of anvi'o and do whatever you please with them.
 
-You also have the option to output the sequences of your choice as a %(misc-data-items)s (with `add-into-items-additional-data-table`), which can be added to the %(interactive)s interface as additional layers. 
+The program parameters also include a large collection of advanced filtering options. Using these options you can scrutinize your gene clusters in creative and precise ways. Using the combination of these filters you can focus on single-copy core gene clusters in a pangenome, or those occur only as singletons, or paralogs that contain more than a given number of sequences, and so on. Once you are satisfied with the output a given set of filters generate, you can add the matching gene clusters a %(misc-data-items)s with the flag `--add-into-items-additional-data-table`, which can be added to the %(interactive)s interface as additional layers when you visualize your %(pan-db)s using the program %(anvi-display-pan)s 
 
-While the number of parameters may seem daunting, many of the options just help you specify exactly which gene clusters you want to get the sequences  from. 
+By default, %(anvi-get-sequences-for-gene-clusters)s will generate a single output file. But you can ask the program to report every gene cluster that match to your filters as a separate FASTA file depending on your downstream analyses.
+
+While the number of parameters this powerful program can utilize may seem daunting, many of the options just help you specify exactly from which gene clusters you want to get sequences. 
 
 ### Running on all gene clusters
 
-Here is a basic run, that will  export alignments for every single gene cluster found in the %(pan-db)s as amino acid sequences :
+Here is an example that shows the simplest possible run, which will export sequences for every single gene cluster found in the %(pan-db)s as amino acid sequences:
 
 {{ codestart }}
 anvi-get-sequences-for-gene-clusters -g %(genomes-storage-db)s \
@@ -14,13 +16,115 @@ anvi-get-sequences-for-gene-clusters -g %(genomes-storage-db)s \
                                      -o %(genes-fasta)s
 {{ codestop }}
 
-To get the DNA sequences instead, just add `--report-DNA-sequences`. 
+{:.notice}
+The program will report the DNA sequences if the flag `--report-DNA-sequences` is used.
+
+### Splitting gene clusters into their own files
+
+The command above will put all gene cluster sequences in a single output %(fasta)s file. If you would like to report each gene cluster in a separate FASTA file, it is also an option thanks to the flag `--split-output-per-gene-cluster`. This optional reporting throught this flag applies to all commands shown on this page. For instance, the following command will report every gene cluster as a separate FASTA file in your directory,
+
+{{ codestart }}
+anvi-get-sequences-for-gene-clusters -g %(genomes-storage-db)s \
+                                     -p %(pan-db)s \
+                                     --split-output-per-gene-cluster
+{{ codestop }}
+
+where the output files and paths will look like this in your work directory:
+
+```
+GC_00000001.fa
+GC_00000002.fa
+GC_00000003.fa
+GC_00000004.fa
+GC_00000005.fa
+GC_00000006.fa
+GC_00000007.fa
+GC_00000008.fa
+GC_00000009.fa
+GC_00000010.fa
+(...)
+```
+
+You can use the parameters `--output-file-prefix` to add file name prefixes to your output files. For instance, the following command,
+
+{{ codestart }}
+anvi-get-sequences-for-gene-clusters -g %(genomes-storage-db)s \
+                                     -p %(pan-db)s \
+                                     --split-output-per-gene-cluster \
+                                     --output-file-prefix MY_PROJECT
+{{ codestop }}
+
+will result in the following files in your work directory:
+
+```
+MY_PROJECT_GC_00000001.fa
+MY_PROJECT_GC_00000002.fa
+MY_PROJECT_GC_00000003.fa
+MY_PROJECT_GC_00000004.fa
+MY_PROJECT_GC_00000005.fa
+MY_PROJECT_GC_00000006.fa
+MY_PROJECT_GC_00000007.fa
+MY_PROJECT_GC_00000008.fa
+MY_PROJECT_GC_00000009.fa
+MY_PROJECT_GC_00000010.fa
+(...)
+```
+
+You can also use the parameter `--output-file-prefix` to store files in different directories. For instance, the following command (note the trailing `/` in the `--output-file-prefix`),
+
+{{ codestart }}
+anvi-get-sequences-for-gene-clusters -g %(genomes-storage-db)s \
+                                     -p %(pan-db)s \
+                                     --split-output-per-gene-cluster \
+                                     --output-file-prefix A_TEST_DIRECTORY/
+{{ codestop }}
+
+will result in the following files:
+
+```
+A_TEST_DIRECTORY/GC_00000001.fa
+A_TEST_DIRECTORY/GC_00000002.fa
+A_TEST_DIRECTORY/GC_00000003.fa
+A_TEST_DIRECTORY/GC_00000004.fa
+A_TEST_DIRECTORY/GC_00000005.fa
+A_TEST_DIRECTORY/GC_00000006.fa
+A_TEST_DIRECTORY/GC_00000007.fa
+A_TEST_DIRECTORY/GC_00000008.fa
+A_TEST_DIRECTORY/GC_00000009.fa
+A_TEST_DIRECTORY/GC_00000010.fa
+(...)
+```
+
+In contrast, the following command,
+
+{{ codestart }}
+anvi-get-sequences-for-gene-clusters -g %(genomes-storage-db)s \
+                                     -p %(pan-db)s \
+                                     --split-output-per-gene-cluster \
+                                     --output-file-prefix A_TEST_DIRECTORY/A_NEW_PREFIX
+{{ codestop }}
+
+will result in the following files:
+
+```
+A_TEST_DIRECTORY/A_NEW_PREFIX_GC_00000001.fa
+A_TEST_DIRECTORY/A_NEW_PREFIX_GC_00000002.fa
+A_TEST_DIRECTORY/A_NEW_PREFIX_GC_00000003.fa
+A_TEST_DIRECTORY/A_NEW_PREFIX_GC_00000004.fa
+A_TEST_DIRECTORY/A_NEW_PREFIX_GC_00000005.fa
+A_TEST_DIRECTORY/A_NEW_PREFIX_GC_00000006.fa
+A_TEST_DIRECTORY/A_NEW_PREFIX_GC_00000007.fa
+A_TEST_DIRECTORY/A_NEW_PREFIX_GC_00000008.fa
+A_TEST_DIRECTORY/A_NEW_PREFIX_GC_00000009.fa
+A_TEST_DIRECTORY/A_NEW_PREFIX_GC_00000010.fa
+(...)
+```
 
 ### Exporting only specific gene clusters
 
 #### Part 1: Choosing gene clusters by collection, bin, or name
 
-You can export only the sequences for a specific %(collection)s or %(bin)s with the parameters `-C` or `-b` respectively. You also have the option to display the collections and bins available in your %(pan-db)s with `--list-collections` or `--list-bins`
+You can export only the sequences for a specific %(collection)s or %(bin)s with the parameters `-C` or `-b` respectively. 
 
 {{ codestart }}
 anvi-get-sequences-for-gene-clusters -g %(genomes-storage-db)s \
@@ -29,6 +133,9 @@ anvi-get-sequences-for-gene-clusters -g %(genomes-storage-db)s \
                                      -C %(collection)s 
 {{ codestop }}
 
+{:.notice}
+You can always display the collections and bins available in your %(pan-db)s by adding `--list-collections` or `--list-bins` flags to your command.
+
 Alternatively, you can export the specific gene clusters by name, either by providing a single gene cluster ID or a file with one gene cluster ID per line. For example: 
 
 {{ codestart }}
@@ -40,9 +147,11 @@ anvi-get-sequences-for-gene-clusters -g %(genomes-storage-db)s \
 
 where `gene_clusters.txt` contains the following:
 
-    GC_00000618
-    GC_00000643
-    GC_00000729
+```
+GC_00000618
+GC_00000643
+GC_00000729
+```
 
 #### Part 2: Choosing gene clusters by their attributes
 
diff --git a/anvio/docs/programs/anvi-get-short-reads-from-bam.md b/anvio/docs/programs/anvi-get-short-reads-from-bam.md
index 5b0d358093..d959ae2393 100644
--- a/anvio/docs/programs/anvi-get-short-reads-from-bam.md
+++ b/anvio/docs/programs/anvi-get-short-reads-from-bam.md
@@ -1,35 +1,87 @@
-This script get the short reads (in the form of a %(short-reads-fasta)s) out of a %(bam-file)s.  
+Get short reads from a %(bam-file)s in the form of %(short-reads-fasta)s).
 
-A basic run of this program is as follows: 
+{:.warning}
+The purpose of this program is not to replace more efficient tools to recover short reads from BAM files such as `samtool`. Since it was designed to address much more subtle needs, this program may have a huge memory fingerprint for very large and numerous BAM files.
+
+Using this program you can,
+
+* Get all reads from one or more BAM files
+* Get reads matching to contig names found in any %(bin)s in a %(collection)s
+* Get reads matching to contig names found in one or more specific %(bin)ss in a %(collection)s
+* Get all reads matching to a specific contig name
+* Get reads matching to a specific region of a specific contig name
+
+In addition, you can use the previously-defined fetch filters via the `--fetch-filter` parmeter to get only short reads satisfy a particular set of criteria (i.e., those that are in forward-forward or reverse-reverse orientation, those that have a template length longer than 1,000 nucleotides, and so on). For a complete set of fetch filters you can use, please see the help menu of the program.
+
+The program can report all reads in a single file, or you can ask reads to be split into R1 and R2 files for mapping results of paired-end sequences using the flag `--split-R1-and-R2`. In this case, reads that are not paired will be reported in a file with the prefix `_UNPAIRED.fa`.
+
+Reads reported as a FASTA will contain necessary information in their deflines to recover which BAM file, contig, sample they are from with explicit start/stop positions on the contig to which they matched.
+
+### Getting all reads
+
+A basic run of this program is as follows:
 
 {{ codestart }}
-anvi-get-short-reads-from-bam -o path/to/output \ 
-                              BAM_FILE_1.bam BAM_FILE_2.bam
+anvi-get-short-reads-from-bam BAM_FILE_1.bam BAM_FILE_2.bam (...) \
+                              --output-file OUTPUT.fa
 {{ codestop }}
 
-This will get all of the short reads out of the provided bam files (`BAM_FILE_1.bam` and `BAM_FILE_2.bam`) and put them into a single file. 
+This will report all short reads found in BAM files `BAM_FILE_1.bam` and `BAM_FILE_2.bam` and store them into a single file. You can use as many BAM files as you wish.
 
-### Narrowing the input 
+### Narrowing the input with anvi'o files:
 
-You can choose to only return the short reads that are contained within a %(collection)s or %(bin)s, as so:
+You can choose to only return the short reads that are contained within a %(collection)s:
 
 {{ codestart }}
-anvi-get-short-reads-from-bam -o path/to/output \ 
+anvi-get-short-reads-from-bam BAM_FILE_1.bam BAM_FILE_2.bam \
                               -c %(contigs-db)s \
                               -p %(profile-db)s \
                               -C %(collection)s \
-                              BAM_FILE_1.bam BAM_FILE_2.bam
+                              --output-file OUTPUT.fa
+{{ codestop }}
+
+Or in a bin that is described in a collection:
+
+{{ codestart }}
+anvi-get-short-reads-from-bam BAM_FILE_1.bam BAM_FILE_2.bam \
+                              -c %(contigs-db)s \
+                              -p %(profile-db)s \
+                              -C %(collection)s \
+                              -b %(bin)s \
+                              --output-file OUTPUT.fa
 {{ codestop }}
 
+### Focusing on individual contigs
+
+You can get all reads mapped to a contig:
+
+{{ codestart }}
+anvi-get-short-reads-from-bam BAM_FILE_1.bam BAM_FILE_2.bam \
+                              --target-contig CONTIG_NAME \
+                              --output-file OUTPUT.fa
+{{ codestop }}
+
+Or define explicit start/stop positions on it:
+
+{{ codestart }}
+anvi-get-short-reads-from-bam BAM_FILE_1.bam BAM_FILE_2.bam \
+                              --target-contig CONTIG_NAME \
+                              --target-region-start 100 \
+                              --target-region-end 1000 \
+                              --output-file OUTPUT.fa
+{{ codestop }}
+
+In this mode, the program will fetch any read that includes a nucleotide that matches to anywhere in the region defined by the user. Which means, if the user sets `--target-region-start` to `100` and `--target-region-end` to `101`, all reads that have a nuclotide mapping to the `100th` position will be returned.
+
 ### Changing the output format
 
-You can split the output based on the directionality of paired-end reads. Adding the tag `--split-R1-and-R2` causes the program to create three separate output files: one for R1 (sequences in the forward direction), one for R2 (sequences in the reverse direction; i.e. reverse complement of R1 sequences), and one for unparied reads. When doing this, you can name these three files with a prefix by using the flag `-O`.  
+You can split the output based on the directionality of paired-end reads. Adding the tag `--split-R1-and-R2` causes the program to create three separate output files: one for R1 (sequences in the forward direction), one for R2 (sequences in the reverse direction; i.e. reverse complement of R1 sequences), and one for unparied reads. When doing this, you can name these three files with a prefix by using the flag `-O`.
 
 {{ codestart }}
-anvi-get-short-reads-from-bam -o path/to/output \ 
-                              --split-R1-and-R2 \ 
+anvi-get-short-reads-from-bam -o path/to/output \
+                              --split-R1-and-R2 \
                               -O BAM_1_and_BAM_2 \
                               BAM_FILE_1.bam BAM_FILE_2.bam
 {{ codestop }}
 
-You can also compress the output by adding the flag `--gzip-output`
+You can also compress the output by adding the flag `--gzip-output`.
diff --git a/anvio/docs/programs/anvi-get-short-reads-mapping-to-a-gene.md b/anvio/docs/programs/anvi-get-short-reads-mapping-to-a-gene.md
index 5e6919798f..6b807e74fd 100644
--- a/anvio/docs/programs/anvi-get-short-reads-mapping-to-a-gene.md
+++ b/anvio/docs/programs/anvi-get-short-reads-mapping-to-a-gene.md
@@ -1,6 +1,6 @@
 This program finds all short reads from (%(bam-file)s) that align to a specific gene and returns them as a %(short-reads-fasta)s.
 
-If instead you want to extract these short reads from a FASTQ file, get your gene sequence with %(anvi-export-gene-calls)s and take a look at %(anvi-script-get-primer-matches)s.
+If instead you want to extract these short reads from a FASTQ file, get your gene sequence with %(anvi-export-gene-calls)s and take a look at %(anvi-search-primers)s.
 
 To run this program, just specify the bam files you're looking at and the gene of interest. To do this, name the %(contigs-db)s containing your gene and the gene caller ID (either directly through the parameter `--gene-caller-id` or through a file). Here is an example:
 
diff --git a/anvio/docs/programs/anvi-import-misc-data.md b/anvio/docs/programs/anvi-import-misc-data.md
index 1e5b4b2f9e..28d337befa 100644
--- a/anvio/docs/programs/anvi-import-misc-data.md
+++ b/anvio/docs/programs/anvi-import-misc-data.md
@@ -1,64 +1,35 @@
-This program lets you **bring additional information into your anvi'o databases** that will appear when you run %(anvi-interactive)s.   
+This program enables extending anvi'o projects with many kinds of **additional data**. Additional data will extend anvio' %(interactive)s displays, and appear in %(summary)s files, and become accessible to other anvi'o programs thorughout.
 
-With this, you can 
-- **bring additional data about your items or layers into the anvi'o interactive interface** by putting it into a %(pan-db)s or %(profile-db)s
-- **bring additional data about your nucleotides/amino acids** into a %(contigs-db)s 
+This program can add additional data for your items or layers in a %(pan-db)s or %(profile-db)s, or add additional data for your nucleotides or amino acids in a %(contigs-db)s
 
-You also have the option to associate keys with only a specific data group, or transpose the input before processing (in case you misformatted it). 
+You also have the option to associate keys with only a specific data group, or transpose the input before processing.
 
-If you no longer want to see data you've added with this function, you can export it as the original text file with %(anvi-export-misc-data)s and delete it from the database with %(anvi-delete-misc-data)s.
+Also see the program %(anvi-show-misc-data)s, %(anvi-export-misc-data)s, and %(anvi-delete-misc-data)s.
 
-## Items, Layers, and the Interactive Interface 
+## Items Data, Layers Data, and Orders
 
-{:.notice}
-This process, as well as the definition of an item and a layer, are described in more detail in [this blog post](http://merenlab.org/2017/12/11/additional-data-tables). 
-
-Basically, you can add additional information to the interactive interface by running this program on the database you want to display and a text file containing your information. You can do this with three types of data (see their individual pages for more information on each): 
-
-1. %(misc-data-items)s by providing a %(misc-data-items-txt)s. This contains information about *each of your items in the central tree* (whether those are contigs, bins, or genes), and will appear as **additional concentric circles** when you run %(anvi-interactive)s. 
-
-    {{ codestart }}
-    anvi-import-misc-data -p %(profile-db)s \
-                          -t items \
-                          %(misc-data-items-txt)s 
-    {{ codestop }}
-        
-2. %(misc-data-layers)s by providing a %(misc-data-layers-txt)s. This contains information about *each layer (or concentric circle) of the interface* (which usually correspond to your samples), and will appear as **graphs in line with your circles of data** (on the right, similar to how to the titles of each layer are displayed at the top) when you run %(anvi-interactive)s. 
-
-    {{ codestart }}
-    anvi-import-misc-data -p %(pan-db)s \
-                          -t layers \
-                          %(misc-data-layers-txt)s                               
-    {{ codestop }}
-
-3. %(misc-data-layer-orders)s by providing a %(misc-data-layer-orders-txt)s. This contains information about *what order you want the concentric circles to be displayed in*  (which usually correspond to your samples), and will appear as **above the misc-data-layers graphs as a tree** when you run %(anvi-interactive)s. 
-
-    {{ codestart }}
-    anvi-import-misc-data -p %(profile-db)s \
-                          -t layer_orders \
-                          %(misc-data-layer-orders-txt)s 
-    {{ codestop }}
+Please see [this blog post](http://merenlab.org/2017/12/11/additional-data-tables) for a comprehensive documentation on these misc data types.
 
 ## Nucleotides, Amino Acids, and Contigs Databases
 
-This feature lets you import additional data about specfic residues or specific base pairs into your %(contigs-db)s. This is especially useful for strucutral analysis (so when running programs like %(anvi-display-structure)s) and will be very relevant to the InteracDome functionality when it's added in anvi'o v7 (curious readers can take a look at [this blog post](http://merenlab.org/2020/07/22/interacdome/)). 
+This feature lets you import additional data about specfic residues or specific base pairs into your %(contigs-db)s. This is especially useful for strucutral analysis (so when running programs like %(anvi-display-structure)s) and will be very relevant to the InteracDome functionality when it's added in anvi'o v7 (curious readers can take a look at [this blog post](http://merenlab.org/2020/07/22/interacdome/)).
 
-When adding additional data, unlike with layers and items, you do not have to provide values for every single nucleotide in your database. With this program, you can easily provide data for only a select few. 
+When adding additional data, unlike with layers and items, you do not have to provide values for every single nucleotide in your database. With this program, you can easily provide data for only a select few.
 
 Basically, you can add two types of data to your contigs database:
 
 1. %(misc-data-nucleotides)s by providing a %(misc-data-nucleotides-txt)s. This contains information about *specific nucleotides in your database.*
 
-    {{ codestart }}
-    anvi-import-misc-data -c %(contigs-db)s \
-                          -t nucleotides \
-                          %(misc-data-nucleotides-txt)s 
-    {{ codestop }}
-        
+{{ codestart }}
+anvi-import-misc-data -c %(contigs-db)s \
+                      -t nucleotides \
+                      %(misc-data-nucleotides-txt)s
+{{ codestop }}
+
 2. %(misc-data-amino-acids)s by providing a %(misc-data-amino-acids-txt)s. This contains information about *specific amino acid residues in your database*
 
-    {{ codestart }}
-    anvi-import-misc-data -c %(contigs-db)s \
-                          -t amino_acids \
-                          %(misc-data-amino-acids-txt)s                               
-    {{ codestop }}
+{{ codestart }}
+anvi-import-misc-data -c %(contigs-db)s \
+                      -t amino_acids \
+                      %(misc-data-amino-acids-txt)s
+{{ codestop }}
diff --git a/anvio/docs/programs/anvi-interactive.md b/anvio/docs/programs/anvi-interactive.md
index eb710af9c4..bbbf38cb33 100644
--- a/anvio/docs/programs/anvi-interactive.md
+++ b/anvio/docs/programs/anvi-interactive.md
@@ -40,7 +40,7 @@ What happens if you don't have a hierarchical clustering dendrogram, but you sti
 * You can import external binning results using %(anvi-import-collection)s, or manually identify contigs of interest, and use %(anvi-import-collection)s to create a collection of a smaller number of contigs. You can then use %(anvi-refine)s to visualize contigs in a single bin, or use %(anvi-split)s to first generate a split profile for your contigs to visualize your smaller dataset using %(anvi-interactive)s.
 
 
-### Visualizing *bins* instead of contigs
+### Collection mode: Visualizing *bins* instead of contigs
 
 By default, when run on a profile database that resulted from a metagenomic workflow, %(anvi-interactive)s will initiate each contig as a separate item and organize them based on the clustering dendrograms provided to it (either automatically or by the user). But if there is a %(collection)s stored in the profile database, it is also possible to run %(anvi-interactive)s on a specific collection, during which anvi'o will use the underlying contig data to calculate summary statistics for each bin before displaying them. In collection mode, each item of your central plot will not represent a contig, but a bin within your collection. This is how the collection mode can be initialized in comparison to the default mode:
 
@@ -52,7 +52,7 @@ anvi-interactive -p %(profile-db)s \
 
 The clustering of %(bin)ss in this case based on their distribution across samples will be done automatically on-the-fly. See the note on this mode in [the metagenomic workflow](http://merenlab.org/2016/06/22/anvio-tutorial-v2/#anvi-interactive) for more information.
 
-### Visualizing *genes* instead of contigs
+### Genes mode: Visualizing *genes* instead of contigs
 
 You can also start the interactive interface in "gene mode", in which each item of the central tree is a gene instead of a split or contig (or bin like in "collection mode").
 
@@ -74,9 +74,9 @@ In this view you can order genes based on their distributions patterns across me
 
 You can also visit [this page](http://merenlab.org/tutorials/infant-gut/#the-gene-mode-studying-distribution-patterns-at-the-gene-level) to see another practical example from the Infant Gut tutorial.
 
-## Running anvi-interactive in manual mode
+## Manual mode: visualize anything
 
-You can initiate the anvi'o interactive interface in manual mode to run it on *ad hoc* data (here is [a tutorial on this](http://merenlab.org/tutorials/interactive-interface/)).
+You can initiate the anvi'o interactive interface in manual mode to run it on *ad hoc* tabular data (here is [a tutorial on this](http://merenlab.org/tutorials/interactive-interface/)).
 
 Anvi'o interactive interface is initiated with the flag `--manual-mode` and then by providing *any* of the following types of files individually or together:
 
@@ -87,7 +87,7 @@ When doing this kind of run, anvi'o does not expect you to have a profile databa
 
 ## Extending anvi'o displays
 
-You can extend any %(anvi-interactive)s display with additional data related to your project through the program %(anvi-import-misc-data)s. [This article](https://merenlab.org/2017/12/11/additional-data-tables/) describes a detailed use of this program.
+You can extend any %(interactive)s display in anvi'o with additional data related to your project through the program %(anvi-import-misc-data)s. [This article](https://merenlab.org/2017/12/11/additional-data-tables/) describes a detailed use of this program.
 
 While the use of %(anvi-import-misc-data)s is the most effective way to improve anvi'o displays, you can also use the parameter `--additional-layers` to provide a TAB-delimited file (%(misc-data-items-txt)s) that contains additional layers of information over your items.
 
diff --git a/anvio/docs/programs/anvi-migrate.md b/anvio/docs/programs/anvi-migrate.md
index f8b3d80ec1..9bce3cfac5 100644
--- a/anvio/docs/programs/anvi-migrate.md
+++ b/anvio/docs/programs/anvi-migrate.md
@@ -1,26 +1,32 @@
-This is a multi-talented program that seamlessly updates any anvi'o database to the latest version.
+This is a multi-talented program that seamlessly updates any anvi'o artifact (i.e., anvi'o databases or config files) to its latest version.
 
-You can provide one or more anvi'o databases as command line parameters to this program, and it will migrate each one. However, you must choose whether to migrate the databases safely, or quickly.
+You can provide one or more files and the program will migrate all. However, you must choose whether to migrate the databases safely, or quickly.
 
-If you choose to migrate safely, anvi'o will first make a copy of each database and save it as a backup. In case something goes wrong during the migration, it let you know what happened and will restore your original database from the copy it made. Then you can go on your merry way. (The copy is deleted after the migration script is finished running.)
+If you choose to migrate safely, anvi'o will first make a copy of each file and save it as a backup. In case something goes wrong during the migration, it let you know what happened and will restore your original file from its copy. In the case of a successful migration, the old copy will go away gracefully (and quietly).
 
 This is how you migrate safely:
+
 ```
-anvi-migrate --migrate-dbs-safely *.db
+anvi-migrate --migrate-safely *.db
 ```
 
 Of course, we will always suggest that migrating safely is better, because fewer people get angry at us when we do that. In practice though, making those backup copies takes up extra time and it is unlikely that the migration will fail anyway, so if you have a lot of databases to migrate and are okay with a bit of risk, you have the option to migrate quickly instead. In this case, anvi'o will _not_ copy your databases before starting the migration.
+
 ```
-anvi-migrate --migrate-dbs-quickly *.db
+anvi-migrate --migrate-quickly *.db
 ```
-Please remember that by living life in the fast lane, you forego your safety net. On the rare occasion that the migration does fail, this program will let you know what happened, leave you with a database that has a `.broken` file extension, and sassily remind you that this all could have been avoided if you chose the other option. In this unlikely event, you can always reach out to us. We will probably be sassy to you, too, but we will still see if we can help you unbreak things. :)
+Please remember that by living life in the fast lane, you forego your safety net. On the rare occasion that the migration does fail, this program will let you know what happened, leave you with a database that has a `.broken` file extension. In this unlikely event, you can always reach out to us.
 
 ### Migrating to a specific version
+
 If your database is a few versions behind the highest available version but for whatever reason you don't want to migrate it all the way, you can specify which version to update your database to. Just use the `-t` flag (note: migrating with this parameter only works on ONE database at a time):
+
 ```
-anvi-migrate --migrate-dbs-safely -t 15 CONTIGS.db
+anvi-migrate --migrate-safely -t 15 CONTIGS.db
 ```
+
 Then anvi'o will update your database until it is whatever version you specified and stop. Of course, you cannot provide a version number that is higher than the highest available version. Nor can you provide a number that is lower than your database's current version (ie, backwards migration is not possible).
 
 Not sure what your database's current version is? Try %(anvi-db-info)s.
-Not sure what the highest available version is? Run any anvi'o command with the `-v` option to see the version information for all database types (we recommend `anvi-interactive -v` for no particular reason).
+
+You can always run `anvi-migrate -v` to learn about the versions of artifact types _your_ anvi'o installation can work with.
diff --git a/anvio/docs/programs/anvi-pan-genome.md b/anvio/docs/programs/anvi-pan-genome.md
index 283679abae..1b5ab96115 100644
--- a/anvio/docs/programs/anvi-pan-genome.md
+++ b/anvio/docs/programs/anvi-pan-genome.md
@@ -1,70 +1,45 @@
-This program **finds, clusters, and organizes the genes** within a %(genomes-storage-db)s to create a %(pan-db)s. 
+This program implements pangenomics, and organizes genes found within a %(genomes-storage-db)s to create a %(pan-db)s.
 
-This is the program that does the brunt of the work when running a pangenomic workflow. Check out [the pangenomic tutorial](http://merenlab.org/2016/11/08/pangenomics-v2) for a more in-depth overview of the contents of this page and the capabilities of a %(pan-db)s. 
+Please first read [the pangenomics tutorial](http://merenlab.org/2016/11/08/pangenomics-v2) to have a better understanding of the steps that lead to the generation of a %(pan-db)s.
 
-### Before running this program
+### Making sure your installation can do pangenomics
 
-Before running this program, you'll want to make sure your dependencies are all set, since this program requires some aditional dependencies than base anvi'o. If the following command runs without errors, then you're all good. 
+You can always test if your computer has all the dependencies for a successful pangenomics analysis by running,
 
 {{ codestart }}
 anvi-self-test --suite pangenomics
 {{ codestop }}
 
-If that command doesn't run smoothly, check out [this page](http://merenlab.org/2016/11/08/pangenomics-v2/#dependencies).
+If it runs without errors, you're golden. If not, please consult with the most up-to-date installation instructions for anvi'o and get in touch with the anvi'o community for guidance.
 
-### What this program does
+### A brief summary
 
-This program finds and organizes your gene clusters to give you all of the data that is displayed when you run %(anvi-pan-genome)s. Almost all of the work described in [this gif that explains the common steps involved in pangenomics](http://merenlab.org/momics/#pangenomics) is done by this program. 
+The program %(anvi-pan-genome)s performs three major things for its user:
 
-In a little more detail, this program will do three major things for you:
+* Calculates the similarity between the all gene amino acid seqeunces found in genomes described in your %(genomes-storage-db)s using [DIAMOND](https://www.wsi.uni-tuebingen.de/lehrstuehle/algorithms-in-bioinformatics/software/diamond/). You have some options. Although, (1) you can use the NCBI's BLAST program [`blastp`](https://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE=Proteins) instead of DIAMOND using the `--use-ncbi-blast` flag, (2) instead of analyzing all genomes you can focus a subset using the `--genome-names` parameter, and (3) exclude genes that are partial from your analysis using the flag `--exclude-partial-gene-calls` if you think you must.
 
-* Calculate the similarity between the all of the gene calls in all of the genomes in your %(genomes-storage-db)s. By default this uses [DIAMOND](https://www.wsi.uni-tuebingen.de/lehrstuehle/algorithms-in-bioinformatics/software/diamond/) to do this, but Meren strongly recommends that you use the `--use-ncbi-blast` flag to use [`blastp`](https://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE=Proteins) instead.  
+* Resolves gene clusters using the BLAST results via the [MCL](http://micans.org/mcl/) algorithm after discarding weak hits from the search results using the `--minbit` heuristic (inspired by the workflow implemented by ITEP ([Benedict et al., 2014](https://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-15-8)).
 
-    *   When doing this, this will look at every genome in your %(genomes-storage-db)s (unless you use `--genome-names`) and will use every gene call, whether or not they are complete (unless you used `--exclude-partial-gene-calls`).   
-    
-    *   After doing this, it will use the minbit heuristic (originally from ITEP ([Benedict et al., 2014](https://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-15-8)) to throw out weak matches. This removes a lot of noise before clustering. 
-    
-* Use the [MCL](http://micans.org/mcl/) algorithm to identify clusters in your search results.  
+* Perform post-analyses of resulting gene clusters for downstream analyses and visualization (including aligning amino acid sequences in each cluster, computing functional and geometric homogeneity indices, and computing a hierarchical clustering of gene clusters in preparation for the visualization of the pangenome using the program %(anvi-display-pan)s.
 
-* Organize your gene clusters and genomes using their `euclidean` distance and `ward` linkage. 
+### The 'additional parameters' mechanism for power users
 
-This program is very smart, and if you're already run it, it will try to use the data that it's already calculated. This way you can change smaller parameters without all of the run time. However, this also means you need to tell it to rerun the process (if that's what you want) with the flag `--overwrite-output-destinations`. 
+At the core of the pangenomics workflow lies the reciprocal BLAST search that identifies sequence similarities within a pool of gene sequences. For this, anvi'o uses DIAMOND by default, but the user can change the search algorithm. Based on the algorithm used for this step, the matching anvi'o driver sets some default parameters for a successful run. Such as the proper parameter to explicitly define where the output files generated by DIAMOND should go, and so on. Apart from those mandatory parameters that are critical for a successful run, anvi'o allows the user to define a set of additional parameters to pass to the search algorithm.
 
-### Cool. How about some examples and specific parameters?
-
-Who doesn't love a good example? The simplest way to run this is as follows:
+This is done via the flag `--additional-params-for-seq-search`. For instance, the user could take a look at the parameters diamond offers by typing `diamond help` on their terminal, and may decide to use the `--sensitive` implemented by DIAMOND to enable a slower but more sensitive search, and use the parameter `--id 98` to ask DIAMOND to not report any hits across genes that is lower than 98%% sequence identity to limit gene clusters only those sequences that are extremely closely related while pushing everything else to be singletons (which can also be removed from the analysis with a separate `--min-occurrence 2` flag %(anvi-pan-genome)s accepts). They can pass these parameters to DIAMOND by running their analysis the following way:
 
 {{ codestart }}
-anvi-pan-genome -g %(genomes-storage-db)s
+anvi-pan-genome --genomes-storage %(genomes-storage-db)s \
+                --project-name PROJECT_NAME \
+                --additional-params-for-seq-search "--masking 0 --sensitive --id 98"
 {{ codestop }}
 
-But there are many parameters you can alter to your liking. For example, here's a run that specifies that it wants to use NCBI's blastp to find sequence similarities and muscle to align genes and defines its output 
-
-{{ codestart }}
-anvi-pan-genomes -g %(genomes-storage-db)s \
-                 --align-with muscle \
-                 --use-ncbi-blast \ 
-                 -n MY_PROJECT_NAME \
-                 --description description.txt \
-                 -o PATH/TO/%(pan-db)s 
-{{ codestop }}
+{:.notice}
+The additional parameters used for the search will be stored in the resulting %(pan-db)s and can be viewed anytime using the program %(anvi-display-pan)s.
 
-Here's another example that only looks at the complete gene calls within a subset of the genomes, eliminates gene clusters that only have hits in a single genome, and uses DIAMOND but with the sensitive setting enabled:
-
-{{ codestart }}
-anvi-pan-genomes -g %(genomes-storage-db)s \
-                 -n MY_PROJECT_NAME \
-                 --genome-names GENOME_1,GENOME_2,GENOME_3 \
-                 --exclude-partial-gene-calls \ 
-                 --min-occurance 2 \
-                 --sensitive \
-                 -o PATH/TO/%(pan-db)s 
-{{ codestop }}
+{:.notice}
+For DIAMOND, if no additional parameters is declared, anvi'o will include `--masking 0` by default since we recently learned that not using that flag leads to the elmination of genes with many repeated elements (see [#1955](https://github.com/merenlab/anvio/issues/1955)).
 
-Some other parameters available to you allow you to  
+With the freedom of additional parameters for sequnce search, it is possible to make significant mistakes since anvi'o will have no opportunity to sanity-check user-defined additional parameters. If you are doing something experimental, please keep an eye on the output messages and error logs.
 
-- Change the minimum minbit value to elimate weak matches. The default value is 0.5.
-- Change the MCL inflation parameter. The default value is 2. 
-- Specify a minimum percent identity between two sequences to give that link an edge in MCL clustering. 
-- Skip or speed up the calculation of homogeneity values for your clusters
-- Enable multithreading with `-T`
+If the user choses to use NCBI's BLAST program, in that case anvi'o will pass the value of the parameter `--additional-params-for-seq-search` to NCBI's `blastp`.
diff --git a/anvio/docs/programs/anvi-profile.md b/anvio/docs/programs/anvi-profile.md
index 8439405b6e..a126293153 100644
--- a/anvio/docs/programs/anvi-profile.md
+++ b/anvio/docs/programs/anvi-profile.md
@@ -58,7 +58,7 @@ Keep in mind that if you plan to merge your resulting %(single-profile-db)s with
 
 To profile only contigs within a specific length, you can use the flags `--min-contig-length` and `-max-contig-length`. By default, the minimum length for analysis is 1000 and there is no maximum length. You can also profile only contigs that have a certain average coverage with the flag `--min-mean-coverage`. 
 
-#### Specifications for your BAM file
+### Filter reads
 
 You can also ignore reads in your BAM file with a percent identity to the reference less than some threshold using the flag `--min-percent-identity`.  By default, all reads are used. 
 
@@ -71,6 +71,22 @@ anvi-profile -c Ross_sea_contigs.db  \
             --min-percent-identity 95 
 {{ codestop }}
 
+By default, anvi'o fetches all reads from the bam file. With `--fetch-filter` you can determine which reads from a bam file will be used for profiling. The current filters are:
+
+* `double-forwards`: only paired-end reads with both R1 and R2 with a 'forward' orientation,
+* `double-reverses`: only paired-end reads with both R1 and R2 with a 'reverse' orientation,
+* `inversions`: only paired-end reads with both R1 and R2 either 'forward' or 'reverse' and a maximum insert size of 2000 nts,
+* `single-mapped-reads`: only single mapped reads (mate is unmapped),
+* `distant-pairs-1K`: only paired-end reads with a minimum 1000 nts insert size.
+
+For example, the following code only considers 'inversions' reads:
+
+{{ codestart }}
+anvi-profile -c Ross_sea_contigs.db \
+             -i bam_file.bam \
+             --fetch-filter inversions
+{{ codestop }}
+
 ### Hierarchical Clustering 
 
 #### To cluster or not to cluster? 
diff --git a/anvio/docs/programs/anvi-rename-bins.md b/anvio/docs/programs/anvi-rename-bins.md
index 01f76b8c93..dfcd77ad15 100644
--- a/anvio/docs/programs/anvi-rename-bins.md
+++ b/anvio/docs/programs/anvi-rename-bins.md
@@ -1,10 +1,8 @@
-This program **creates a new %(collection)s from the %(bin)ss in another collection with specific guidelines.** This is especially helpful when you want to merge multiple collections later or share your project with someone, and you want all of your bins to have nicer names than the default `bin_01`, `bin_02`, etc. based on the order you binned them in. 
+This program **creates a new %(collection)s from the %(bin)ss in another collection with specific guidelines.** This is especially helpful when you wish to standardize your bin names, add project specific prefixes, and/or exclude those that do not match your criteria of completion, redundancy, and/or size estimates.
 
-So let's take a look at what this program can do with a simple example. 
+### Renaming all bins in a collection
 
-### Example 1: Renaming all bins in a collection 
-
-Let's say you have a collection called `MY_COLLECTION`, which has four bins: `really`, `bad`, `bin`, and `names`. These names just won't do, so let's get to renaming. To rename all of my bins and put them into a collection called `SURFACE_OCEAN_SAMPLES`, you could run 
+Let's say you have a %(collection)s called `MY_COLLECTION`, which has four bins that are named poorly (which can happen due to decisions made by automatic binning tools, or after a few steps of manual refinement): `Bin_1_2_1`, `Bin_2`, `Bin_3_1_1`, and `Bin_4`. In an instance like this, running the program %(anvi-rename-bins)s the following way will standardize these bin names with a prefix specific to your project:
 
 {{ codestart }}
 anvi-rename-bins -c %(contigs-db)s \
@@ -15,15 +13,13 @@ anvi-rename-bins -c %(contigs-db)s \
                  --report-file rename.txt
 {{ codestop }}
 
-And voila! Now you have a second collection named `SURFACE_OCEAN_SAMPLES` that contains your four bins, now named  `SURFACE_OCEAN_Bin_00001`, `SURFACE_OCEAN_Bin_00002`, `SURFACE_OCEAN_Bin_00003`, and `SURFACE_OCEAN_Bin_00004`. The order that the numbers are in represents the quality of the bin as a MAG, given by the completion minus redunancy. 
-
-The file `rename.txt` is just a tab-delimited file that contains a summary of your renaming process. The first column has the original name of the bins that you renamed, the second has their new names, and the remaining columns contain information about those bins (like their completion, redundency, and size). 
+Now your %(profile-db)s will have a new collection named `SURFACE_OCEAN_SAMPLES` that will contains your four bins witht their new names `SURFACE_OCEAN_Bin_00001`, `SURFACE_OCEAN_Bin_00002`, `SURFACE_OCEAN_Bin_00003`, and `SURFACE_OCEAN_Bin_00004`. The new naming will order your bins based on their substantive completion (i.e., completion minus redunancy).
 
-### Example 2: Separating out the MAGs 
+The file `rename.txt` is a TAB-delimited file that contains a summary of your renaming process. The first column has the original name of the bins that you renamed, the second has their new names, and the remaining columns contain information about those bins (like their completion, redundency, and size).
 
-Okay, but what if you want to label your MAGs separately from your bins? You don't like `SURFACE_OCEAN_bin_00004` since it only has a completition stat of 50 percent, and you're not sure if you want to include `SURFACE_OCEAN_bin_00003`  since it has 50 percent redundency. How can you differenciate these iffy bins in your collection? 
+### Separating out the MAGs
 
-Here is the solution: 
+You can also label your MAGs separately from your bins via the flag `--call-MAGs`:
 
 {{ codestart }}
 anvi-rename-bins -c %(contigs-db)s \
@@ -31,14 +27,18 @@ anvi-rename-bins -c %(contigs-db)s \
                  --prefix SURFACE_OCEAN \
                  --collection-to-read MY_COLLECTION \
                  --collection-to-write SURFACE_OCEAN_MAGS \
-                 --report-file rename.txt \ 
+                 --report-file rename.txt \
                  --call-MAGs \
-                 --min-completition-for-MAG 70 
+                 --min-completion-for-MAG 70
 {{ codestop }}
 
-Now, the collection `SURFACE_OCEAN_MAGS` will include  `SURFACE_OCEAN_MAG_00001`, `SURFACE_OCEAN_MAG_00002`, `SURFACE_OCEAN_MAG_00003`, and `SURFACE_OCEAN_Bin_00004`. These are exactly the same bins that the collection contained before, but now the names differenciate the wheat from the chaff. 
+Now, the %(collection)s `SURFACE_OCEAN_MAGS` will include  `SURFACE_OCEAN_MAG_00001`, `SURFACE_OCEAN_MAG_00002`, `SURFACE_OCEAN_MAG_00003`, and `SURFACE_OCEAN_Bin_00004`. These are exactly the same bins that the collection contained before, but now the names differenciate the wheat from the chaff.
+
+In addition to minimum completion estimate, you can also adjust the maximum redundancy value, minimum size to call MAGs. Please see the help menu for all parameters and their descriptions. 
+
+### Exclude bins that are not MAGs
 
-Now, let's make that same collection (still called `SURFACE_OCEAN_MAGS`) that doesn't include `SURFACE_OCEAN_Bin_00003` as a MAG, since the redundency is too high for what we want to look at right now. 
+When you use the flag `--call-MAGs`, anvi'o identifies those bins that could be considered 'MAGs' based on your specific criteria. But regardles of whether an original bin remains a bin, or tagged as a MAG, everything in your original collection will end up in your new collection. The flag `--exclude-bins` enable you to filter out those that end up not being tagged as MAGs:
 
 {{ codestart }}
 anvi-rename-bins -c %(contigs-db)s \
@@ -46,16 +46,26 @@ anvi-rename-bins -c %(contigs-db)s \
                  --prefix SURFACE_OCEAN \
                  --collection-to-read MY_COLLECTION \
                  --collection-to-write SURFACE_OCEAN_MAGS \
-                 --report-file rename.txt \ 
-                 --min-completition-for-MAG 70 \
-                 --max-redundancy-for-MAG 30 \
-                 --call-MAGs
+                 --report-file rename.txt \
+                 --min-completion-for-MAG 70 \
+                 --call-MAGs \
+                 --exclude-bins
 {{ codestop }}
 
-Now `SURFACE_OCEAN_MAGS`   will include  `SURFACE_OCEAN_MAG_00001`  `SURFACE_OCEAN_MAG_00002`,  `SURFACE_OCEAN_Bin_00003`, and `SURFACE_OCEAN_Bin_00004`.
+With the addition of the flag `--exclude-bins` to the same command, the %(collection)s `SURFACE_OCEAN_MAGS` will no longer include %(bin)ss `SURFACE_OCEAN_Bin_00003` and `SURFACE_OCEAN_Bin_00004`.
+
+See also the program %(anvi-delete-collection)s.
+
+### The report file
 
-You also have the option to only classify bins above a certain minimum size as MAGs. 
+Following is an example reporting output file anvi'o will generate at the file path declared with the parameter `--report-file`:
 
-### Example 3: An example use case in a workflow
+|**old_bin_name**|**new_bin_name**|**SCG_domain**|**completion**|**redundancy**|**size_in_Mbp**|
+|:--|:--|:--|:--|:--|:--|
+|Bin_2|p800_MAG_00001|eukarya|61.45|7.23|26.924911|
+|Bin_1|p800_MAG_00002|bacteria|98.59|8.45|1.612349|
+|Bin_3|p800_Bin_00003|blank|0.00|0.00|0.103694|
+|Bin_5|p800_Bin_00004|blank|0.00|0.00|0.128382|
+|Bin_4|p800_Bin_00005|bacteria|1.41|0.00|0.378418|
 
-For an example use case, on [this page](http://merenlab.org/tutorials/infant-gut/#renaming-bins-in-your-collection-from-chaos-to-order), anvi-rename-bins is used to create a new collection called `MAGs` that contains differenciates bins that have a completion stat of more than 70 percent, and renames all of those bins with the prefix `IGD` (which stands for infant gut dataset). 
+The column `SCG_domain` will explain which collection of single-copy core genes were used to generate these completion/redundancy estimates. The absence of any domain prediction for any given bin will be marked with the keyrowd `blank`.
diff --git a/anvio/docs/programs/anvi-report-inversions.md b/anvio/docs/programs/anvi-report-inversions.md
new file mode 100644
index 0000000000..8d5f3c95ba
--- /dev/null
+++ b/anvio/docs/programs/anvi-report-inversions.md
@@ -0,0 +1,165 @@
+This program allows you to find genomic inversions using short-read mapping information. 
+
+An inversion is typically carried out by an invertase. This enzyme recognizes a pair of inverted repeat (IR), which are a special case of palindromic sequence where the repeats are facing inward on different DNA strand. The IRs are distant from each other and the invertase will invert the DNA fragment between the IRs.
+
+In brief, anvi'o leverages paired-read orientation to locate regions of interest in a set of contigs. It screens for IRs whithin these regions, and uses short-reads to confirm which IRs corrrespond to real inversions. Eventually, anvi'o can compute the inversion activity: the relative proportion of an inversion's orientation in each sample. 
+
+### Anvi'o's philosophy to find inversions
+
+Much like a T-Rex, anvi'o's vision rely on movement and it cannot see an inversion if it does not move, or in this case, invert. So let's start with what you cannot do with this command: you cannot find inversions in a set of contigs alone. 
+
+To find an inversion, you need to have short-reads from at least one sample. If there is even a small fraction of a microbial population that have an inverted sequence compare to your contigs of reference, then anvi-report-inversions is for you!
+
+### Prerequistes to run this program
+
+Anvi'o is able to locate inversion using the paired-end read orientation. Regular paired-end reads are facing inward with a FWD/REV orientation, but when an inversion happens, some reads will be mapping in the opposite orientation regarding the reference. As a consequence, some paired-end reads will have the same orientation: FWD/FWD or REV/REV. 
+
+To leverage that information, anvi'o can profile bam files for FWD/FWD and REV/REV reads only with %(anvi-profile)s to make special %(single-profile-db)s.
+
+{{ codestart }} 
+anvi-profile -i %(bam-file)s \
+             -c %(contigs-db)s \
+             --fetch-filter inversion
+{{ codestop }}
+
+### Inputs
+
+The main input for this command is a %(bams-and-profiles-txt)s, which is a TAB-delimited file composed of at least four columns:
+
+* Sample name,
+* %(contigs-db)s,
+* %(single-profile-db)s generated with the inversion fetch filter,
+* %(bam-file)s.
+
+You can also add two column for the R1 and R2 fastq files so that anvi'o can compute the inversion's activity.
+
+Here is a standard run with default parameters:
+
+{{ codestart }}
+anvi-report-inversion -P %(bams-and-profiles-txt)s \
+                      -o inversions_output
+{{ codestop }}
+
+### Identifying regions of interest
+
+While anvi'o could directly search of inverted repeats in all the contigs, it would be a waste of time as many IRs are actually not related to inversions. Instead, anvi'o uses the FWD/FWD and REV/REV reads to identify region of interest and constrain the seach for IRs only in these regions. 
+
+For this step, you can set the minimum coverage of FWD/FWD and REV/REV reads to define 'stretches' with `--min-coverage-to-define-stretches`. Lower threshold yield more stretches, but also more noise.
+
+The parameter `--min-stretch-length` defines the minimun length for a stretch to be considered.
+
+FWD/FWD reads are found on the most left side of an inversion, while the REV/REV reads are found on the right side. When an inversion is quite long, a region of low to no coverage can separate the two group of reads. With the flag `--min-distance-between-independent-stretches`, anvi'o merges fragmented stretches if they are closer than this value.
+
+When the coverage is quite low, a stretch can be a little bit too short and miss potential IRs, so you use `--num-nts-to-pad-a-stretch` to extend the stretch by x bp upstream and downstream.
+
+Here are the default values for these flags:
+
+{{ codestart }}
+anvi-report-inversions -P %(bams-and-profiles-txt)s \
+                       -o inversions_output \
+                       --min-coverage-to-define-stretches 10 \
+                       --min-stretch-length 50 \
+                       --min-distance-between-independent-stretches 2000 \
+                       --num-nts-to-pad-a-stretch 100
+{{ codestop }}
+
+### Finding palindromes
+
+There are a few paramters to constrain the search for palindromic sequences of the IRs, like a minimum length that can be set with `--min-palindrome-length`, and a maximum number of mismatches with `--max-num-mismatches`.
+
+You can set the minimum distance between two palindromic sequence with `--min-distance`. A distance of 0 would correspond to a in-place palindrome, though they don't relate to genomic inversions. 
+
+When searching for palindromes with mismatches, the algorithm will extend the palindrom length as much as possible, often including mismatches which are outside of the true palindrome sequences. The flag `--min-mismatch-distance-to-first-base` allows you to trim the palindrome when one or more mismatches are n nucleotides away from a palindrome's start or stop. The default value is 1, meaning that a palindrome `MMMMMM(X)M`, where M denotes matching nucleotides and X a mismatch, will be trimmed to the first 6 matches `MMMMMM`.
+
+There are currently two algorithms to find palindromes in anvi'o: numba and BLAST. Numba is very fast when looking for palindromes in short sequences, and BLAST is more efficient for longer stretches. Anvi'o dynamically set the algorithm accoding to each stretch length: numba for stretches under 5,000 bp and BLAST for longer stretches. You can use the flag `--palindrome-search-algorithm` to ask anvi'o to use either of these methods explicitly. Note that results between the two methods may differs.
+
+{{ codestart }}
+anvi-report-inversions -P %(bams-and-profiles-txt)s \
+                       -o inversions_output \
+                       --min-palindrome-length 10 \
+                       --max-num-mismatches 1 \
+                       --min-distance 50 \
+                       --min-mismatch-distance-to-first-base 1 \
+                       --palindrome-search-algorithm numba
+{{ codestop }}
+
+### Confirming inversions
+
+Multiple palindromes are usualy reported for each stretch and to confirm which one actually relates to an inversions, anvi'o searches short-reads in the bam file for unique constructs that can only occur when a genomic region inverted. 
+
+By default, anvi'o reports the first confirmed palindrome and move to the next stretch. This process is very efficient as a strech usually have only one inversion. But in rare cases, you can have multiple inversions happening in a single stretch. Then, you can use the flag `--check-all-palindromes` and anvi'o will look for inversion evidences in the short-reads for every palindrome in a stretch.
+
+Anvi'o looks for inversion evidence in the FWD/FWD and REV/REV reads first. If no evidence are found, then it searches the rest of the reads mapping to the region of interest. If you want to only search the FWD/FWD and REV/REV reads you can use the flag `--process-only-inverted-reads`
+
+### Computing inversion activity
+
+If you provide the short-reads R1 and R2 in the %(bams-and-profiles-txt)s, anvi'o can compute the proportion of the inversion's orientation in each sample. 
+
+This is a very time consuming step, and if you have multiple sample, you can use the parameter `--num-threads` to set the maximum of threads for multithreading when possible. 
+
+To compute the inversion's ratios, anvi'o design in silco primers based on the palidrome sequence and the upstream/downstream genomic context to search short-reads in the raw fastq files. The variable `--oligo-primer-base-length` is used to control how much of the palindrome should be used to design the primers. The longer, the more specific but if it is too long, less reads will match to the primer.
+
+This step is very computationally intense, but you can test it with the parameter `--end-primer-search-after-x-hits`. Once the total number of reads reach this parameter, anvi'o will stop searching further and will continue with the next sample. This flag is only good for testing.  
+
+If you want to skip this step, you can use the flag `--skip-compute-inversion-activity`.
+
+An example command with 12 threads:
+
+{{ codestart }}
+anvi-report-inversions -P %(bams-and-profiles-txt)s \
+                       -o inversions_output \
+                       --num-threads 12 \
+                       --oligo-primer-base-length 12
+{{ codestop }}
+
+### Reporting genomic context around inversions
+
+For every inversion, anvi'o can report the surrounding genes and their function as additional files. 
+
+You can use the flag `--num-genes-to-consider-in-context` to choose how many genes to consider upstream/downstream of the inversion. By default, anvi'o report three genes downstream, and three genes upstream.
+
+To select a specific gene caller, you can use `--gene-caller`. The default is prodigal. 
+
+If you want to skip this step, you can use the flag `--skip-recovering-genomic-context`.
+
+### Targeted search 
+
+If you are interested in a given contig region you can use the following flags to limit the search:
+
+* `--target-contig`: contig of interest,
+* `--target-region-start`: the start position of the region of interest,
+* `--target-region-end`: the end position of the region of interest. 
+
+### Output
+%(anvi-report-inversions)s searches for inversions in every single sample at a time and thus genereates a TAB-delimited table for every sample: `INVERSIONS-IN-SAMPLE_01.txt`, `INVERSIONS-IN-SAMPLE_02`, ...
+
+These tables contains the following information:
+
+* entry ID,
+* contig name,
+* first palindrome sequence,
+* aligment midline,
+* second palindrome sequence,
+* start and stop position of the first and second palindrome sequence,
+* number of mismatches,
+* number of gaps,
+* length of the palindrome sequence,
+* distance between the first and second palindrome seqeuences, i.e. the size of the inversion,
+* the number of samples in which it was detected and confirmed,
+* the in silico primers used to compute the inversion's activity, for the first and second palindrome,
+* the oligo corresponding to the reference sequence.
+
+Anvi'o eventually create a consensus table with all the unique inversions found accross all your samples in a file called `INVERSIONS-CONSENSUS.txt`. This table has the same format as the individual sample outputs, with the 'entry ID' replaced by a unique inversion ID. 
+
+Another default output table is named `ALL-STRETCHES-CONSIDERED.txt` and it reports every stretch that passed the ['Identifying regions of interest'](#identifying-regions-of-interest) parameters. It reports the maximum coverage of FWD/FWD and REV/REV in that stretch, per sample. It also reports the number of palindromes found and if a true inversion was confirmed.  
+
+If the user enable the reporting of the genomic context, two addition TAB-delimited tables are generated: `INVERSIONS-CONSENSUS-SURROUNDING-GENES.txt` and `INVERSIONS-CONSENSUS-SURROUNDING-FUNCTIONS.txt`. 
+The first table report the gene calls surrounging every inversion when possible (inversions_id, gene_caller_id, start and stop position, orientation, gene_caller and contig).
+The second table report the function associated to every gene call reported in the first file (inversions_id, gene_caller_id, source, accession, function). 
+
+Finally, if the user provide R1 and R2 fastq files and enable the reporting of inversion's activity, %(anvi-report-inversions)s will generate a long-format file named `INVERSION-ACTIVITY.txt`. This file reports, for every inversion and sample, the relative proportion and read abundance of unique oligos, which either correspond to the reference contig (no inversion), or to an inversion sequence. The inversion's activity is computed and reported for both side of each inversion. 
+
+
+
+
+
diff --git a/anvio/docs/programs/anvi-run-kegg-kofams.md b/anvio/docs/programs/anvi-run-kegg-kofams.md
index 3fc791f1da..24aa2d88f7 100644
--- a/anvio/docs/programs/anvi-run-kegg-kofams.md
+++ b/anvio/docs/programs/anvi-run-kegg-kofams.md
@@ -1,8 +1,8 @@
-Essentially, this program uses the KEGG database to annotate functions and metabolic pathways in a %(contigs-db)s. More specifically, %(anvi-run-kegg-kofams)s annotates a %(contigs-db)s with HMM hits from KOfam, a database of KEGG Orthologs (KOs). You must set up these HMMs on your computer using %(anvi-setup-kegg-kofams)s before you can use this program.
+Essentially, this program uses the KEGG database to annotate functions and metabolic pathways in a %(contigs-db)s. More specifically, %(anvi-run-kegg-kofams)s annotates a %(contigs-db)s with HMM hits from KOfam, a database of KEGG Orthologs (KOs). You must set up these HMMs on your computer using %(anvi-setup-kegg-kofams)s before you can use this program. Membership of KOfam functions in KEGG metabolic MODULES and BRITE hierarchies is also stored in the %(contigs-db)s.
 
 Running this program is a pre-requisite for metabolism estimation with %(anvi-estimate-metabolism)s. Note that if you are planning to run metabolism estimation, it must be run with the same %(kegg-data)s that is used in this program to annotate KOfam hits.
 
-### How does it work?
+## How does it work?
 **1) Run an HMM search against KOfam**
 Briefly, what this program does is extract all the gene calls from the %(contigs-db)s and checks each one for hits to the KOfam HMM profiles in your %(kegg-data)s. This can be time-consuming given that the number of HMM profiles is quite large, even more so if the number of genes in the %(contigs-db)s is also large. Multi-threading is a good idea if you have the computational capability to do so.
 
@@ -20,60 +20,89 @@ For every gene without a KOfam annotation, we examine all the hits with an e-val
 Please note that this strategy is just a heuristic. We have tried to pick default parameters that seemed reasonable but by no means have we comprehensively tested and optimized them. This is why X and Y are mutable so that you can explore different values and see how they work for your data. It is always a good idea to double-check your annotations to make sure they are reasonable and as stringent as you'd like them to be. In addition, if you do not feel comfortable using this heuristic at all, you can always turn this behavior off and rely solely on KEGG's bitscore thresholds. :)
 
 **3) Put annotations in the database**
-In the %(contigs-db)s functions table, annotated KO hits (%(kegg-functions)s) will have the source `KOfam`.
+In the %(contigs-db)s functions table, annotated KO hits (%(kegg-functions)s) will have the source `KOfam`. Metabolic Modules and BRITE functional classifications containing these functions also have entries in the table, with sources labeled `KEGG_Module` and `KEGG_BRITE`. BRITE classification will not occur if %(anvi-setup-kegg-kofams)s was not set up with BRITE data (see the artifact for that program to see how to include BRITE).
 
-### Standard usage
+## Standard usage
 
 {{ codestart }}
-anvi-run-kegg-kofams -c CONTIGS.db
+anvi-run-kegg-kofams -c %(contigs-db)s
 {{ codestop }}
 
-### Use a specific non-default KEGG data directory
+## Use a specific non-default KEGG data directory
 If you have previously setup your KEGG data directory using `--kegg-data-dir` (see %(anvi-setup-kegg-kofams)s), or have moved the KEGG data directory that you wish to use to a non-default location (maybe you like keeping the older versions around when you update, we don't know how you roll), then you may need to specify where to find the KEGG data so that this program can use the right one. In that case, this is how you do it:
 
 {{ codestart }}
-anvi-run-kegg-kofams -c CONTIGS.db \
+anvi-run-kegg-kofams -c %(contigs-db)s \
                      --kegg-data-dir /path/to/directory/KEGG
 {{ codestop }}
 
-### Run with multiple threads
+## Run with multiple threads
 
 {{ codestart }}
-anvi-run-kegg-kofams -c CONTIGS.db -T 4
+anvi-run-kegg-kofams -c %(contigs-db)s -T 4
 {{ codestop }}
 
-### Use a different HMMER program
+## Use a different HMMER program
 By default, %(anvi-run-kegg-kofams)s uses `hmmsearch` to find KO hits. If for some reason you would rather use a different program (`hmmscan` is also currently supported), you can do so.
 
 {{ codestart }}
-anvi-run-kegg-kofams -c CONTIGS.db \
+anvi-run-kegg-kofams -c %(contigs-db)s \
                      --hmmer-program hmmscan
 {{ codestop }}
 
-### Keep all HMM hits
+## Keep all HMM hits
 Usually, this program parses out weak HMM hits and keeps only those that are above the score threshold for a given KO. If you would like to turn off this behavior and keep all hits (there will be _a lot_ of weak ones), you can follow the example below:
 
 {{ codestart }}
-anvi-run-kegg-kofams -c CONTIGS.db \
+anvi-run-kegg-kofams -c %(contigs-db)s \
                      --keep-all-hits
 {{ codestop }}
 
-### Modifying the bitscore relaxation heuristic
+## Save the bitscores of HMM hits
+
+If you want to see the bitscores of all KOfam hits that were added to your contigs database, you can use the `--log-bitscores` option to save these values into a tab-delimited file:
+
+{{ codestart }}
+anvi-run-kegg-kofams -c %(contigs-db)s \
+                     --log-bitscores
+{{ codestop }}
+
+Here is an example of what the resulting bitscore file would look like:
+
+|**entry_id**|**bit_score**|**domain_bit_score**|**e_value**|**entry_id**|**gene_callers_id**|**gene_hmm_id**|**gene_name**|
+|:--|:--|:--|:--|:--|:--|:--|:--|
+|1|177.4|85.1|8e-54|0|1371|-|K10681|
+|2|34.1|33.7|9.1e-11|1|1141|-|K01954|
+|3|22.4|22.4|3.1e-07|2|1402|-|K01954|
+|4|12.8|11.8|0.00024|3|1099|-|K01954|
+|5|17.1|16.7|4.4e-05|4|1267|-|K20024|
+
+Combining this flag with the `--keep-all-hits` option is one way to get the bitscores of all matches to the KOfam profiles, even the ones that would usually not pass the bitscore threshold provided by KEGG.
+
+## Modify the bitscore relaxation heuristic
 As described above, this program does its best to avoid missing valid annotations by relaxing the bitscore threshold for genes without any annotations. For such a gene, hits with e-value <= X and bitscore > (Y * KEGG threshold) that are all hits to the same KOfam profile are used to annotate the gene with that KO.
 
-**Skip this step entirely**
+### Skip this heuristic entirely
 If you don't want any previously-eliminated hits to be used for annotation, you can skip this heuristic by using the flag `--skip-bitscore-heuristic`. Then, _only_ hits with bitscores above the KEGG-provided threshold for a given KO will be used for annotation.
 
 {{ codestart }}
-anvi-run-kegg-kofams -c CONTIGS.db \
+anvi-run-kegg-kofams -c %(contigs-db)s \
                      --skip-bitscore-heuristic
 {{ codestop }}
 
-**Modify the heuristic parameters**
+### Modify the heuristic parameters
 If our default values are too stringent or not stringent enough for your tastes, you can change them! The e-value threshold (X, default: 1e-05) can be set using `-E` or `--heuristic-e-value` and the bitscore fraction (Y, default: 0.50) can be set using `-H` or `--heuristic-bitscore-fraction`. Like so:
 
 {{ codestart }}
-anvi-run-kegg-kofams -c CONTIGS.db \
+anvi-run-kegg-kofams -c %(contigs-db)s \
                      -E 1e-15 \
                      -H 0.90
 {{ codestop }}
+
+## Skip BRITE annotations
+If for some strange reason you do not want KEGG BRITE annotations to be added to your contigs database, you can skip them by providing the `--skip-brite-hierarchies` flag:
+
+{{ codestart }}
+anvi-run-kegg-kofams -c %(contigs-db)s \
+                     --skip-brite-hierarchies
+{{ codestop }}
diff --git a/anvio/docs/programs/anvi-run-ncbi-cogs.md b/anvio/docs/programs/anvi-run-ncbi-cogs.md
index aea8dcb34b..cdc4827f7d 100644
--- a/anvio/docs/programs/anvi-run-ncbi-cogs.md
+++ b/anvio/docs/programs/anvi-run-ncbi-cogs.md
@@ -1,8 +1,10 @@
-This program **associates genes in your %(contigs-db)s with functions using NCBI's [Clusters of Orthologus Groups (COGs) database](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC102395/).**
+This program **annotates genes in your %(contigs-db)s with functions using NCBI's [Clusters of Orthologus Groups (COGs) database](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC102395/).**
 
-Before you run this program, you'll have to set up the COGs database on your computer with the program %(anvi-setup-ncbi-cogs)s.
+This program assumes that the user has successfully set up the COGs database on their computer using the anvi'o program %(anvi-setup-ncbi-cogs)s.
 
-To run, you'll need to provide a %(contigs-db)s. If you stored the %(cogs-data)s that you got from running %(anvi-setup-ncbi-cogs)s in a custom location, you'll need to provide that path as well. The output is a %(functions)s artifact.
+The only critical parameter to %(anvi-run-ncbi-cogs)s is a %(contigs-db)s. The program will store its output in the %(contigs-db) sas a %(functions)s artifact.
+
+If the %(cogs-data)s was stored at a specific path when %(anvi-setup-ncbi-cogs)s was run, then providing that path using the `--cog-data-dir` parameter is also necessary.
 
 {{ codestart }}
 anvi-run-ncbi-cogs -c %(contigs-db)s \
@@ -11,13 +13,6 @@ anvi-run-ncbi-cogs -c %(contigs-db)s \
 
 Without the flag `--cog-data-dir`, anvi'o will just search in the default location.
 
-By default, this program uses DIAMOND in the "fast" setting for database searching. To instead run in "sensitive" mode, just call:
-
-{{ codestart }}
-anvi-run-ncbi-cogs -c %(contigs-db)s \
-            --sensitive
-{{ codestop }}
-
 You can also use blastp to search, by running:
 
 {{ codestart }}
diff --git a/anvio/docs/programs/anvi-script-add-default-collection.md b/anvio/docs/programs/anvi-script-add-default-collection.md
index 4f45d46624..301f2e561d 100644
--- a/anvio/docs/programs/anvi-script-add-default-collection.md
+++ b/anvio/docs/programs/anvi-script-add-default-collection.md
@@ -1,16 +1,23 @@
-This program adds a new %(collection)s and %(bin)s to your %(pan-db)s or %(profile-db)s and %(contigs-db)s pair. This collection and bin will both contain all of your contigs. 
+This program adds a 'default' %(collection)s and %(bin)s to your %(pan-db)s or %(profile-db)s and %(contigs-db)s that describes every item in your database.
 
-This way, you can perform collection and bin specfic operations without having to bin anything yourself. For example, running %(anvi-interactive)s in gene-mode requires you to specify a collection and bin (as is done [in the Infant Gut Tutorial](http://merenlab.org/tutorials/infant-gut/#the-gene-mode-studying-distribution-patterns-at-the-gene-level)). 
+This way, you can perform anvi'o tasks that require a collection or a bin even if you do not have a particular collection for your data, or all items in your database represent a meaningful bin (such as every contig in a %(contigs-db)s that represents a single genome).
 
-By default, the collection is named `DEFAULT` and the bin is named `EWVERYTHING`, but you can change these names with the `-C` and `-b` parameters respectively. 
+As an example, see this program in action in the [Infant Gut Tutorial](http://merenlab.org/tutorials/infant-gut/#the-gene-mode-studying-distribution-patterns-at-the-gene-level) where it is used to run %(anvi-interactive)s on a genome in 'gene mode'.
 
-Here is an example run on a %(profile-db)s: 
+Run in its simples form,
 
 {{ codestart }}
-anvi-script-add-default-collection -c %(contigs-db)s \ 
-                                   -p %(profile-db)s \ 
+anvi-script-add-default-collection -c %(contigs-db)s \
+                                   -p %(profile-db)s
+{{ codestop }}
+
+the program will add a new collection into the profile database named `DEFAULT`, which will contain a single bin that describes all items in the database named `EVERYTHING`. You can set these default names to your liking using additional parameters:
+
+{{ codestart }}
+anvi-script-add-default-collection -c %(contigs-db)s \
+                                   -p %(profile-db)s \
                                    -C MY_COLLECTION \
-                                   -b MY_BIN 
+                                   -b MY_BIN
 {{ codestop }}
 
-Once this is run, your profile database will contain a collection called `MY_COLLECTION` with a single bin (called `MY_BIN`) which contains all of your contigs. 
+Also see related programs, %(anvi-show-collections-and-bins)s and %(anvi-delete-collection)s.
diff --git a/anvio/docs/programs/anvi-script-filter-hmm-hits-table.md b/anvio/docs/programs/anvi-script-filter-hmm-hits-table.md
index eaabcb7498..ba8ebdcc05 100644
--- a/anvio/docs/programs/anvi-script-filter-hmm-hits-table.md
+++ b/anvio/docs/programs/anvi-script-filter-hmm-hits-table.md
@@ -1,21 +1,34 @@
-This program is for filtering a %(hmm-source)s from a %(hmm-hits)s in a %(contigs-db)s using HMM alignment parameters such as query-coverage and target-coverage. Briefly, the program will remove all records from an %(hmm-source)s in the %(hmm-hits)s, then import a new %(hmm-hits)s table into the %(contigs-db)s that was filtered to your specifications.
+This program allows you to remove low quality HMM alignments from a %(hmm-source)s in a %(contigs-db)s by leveraging HMM alignment parameters such as model-coverage (query-coverage) and gene-coverage (target-coverage) calculated from a %(hmm-hits)s. Briefly, the program will remove all records from an %(hmm-source)s in the %(hmm-hits)s, then import a new %(hmm-hits)s table into the %(contigs-db)s that was filtered to your specifications.
 
-For this, you first need to ask %(anvi-run-hmms)s to ask HMMER to report a domain hits table by including `--domain-hits-table` flag in your command:
+For this, you first need to have %(anvi-run-hmms)s to ask HMMER to report a domain hits table by including `--domain-hits-table` flag in your command:
 
 {{ codestart }}
 anvi-run-hmms -c %(contigs-db)s \
               -I Bacteria_71 \
-              --hmmer-output-dir path/to/DOMTABLE.txt
+              --hmmer-output-dir path/to/dir
               --domain-hits-table
 {{ codestop }}
 
-At the end of this run, your HMM hits will be stored in your contigs database as usual. But with the availability of the domain hits table from this run, you can filter out hits from your contigs database using thresholds for query or target coverage of each hit.
+After the command above, your HMM hits will be stored in your %(contigs-db)s as usual. However, with the availability of the domain hits table, you can filter out hits from your contigs database using thresholds for model or gene coverage of each hit i.e. you can filter out %(hmm-hits)s where the profile HMM and gene align well to each other.
 
-For instance following the command above, the command below will remove HMM hits from your contigs database for genes that had less than 90%% coverage of the target:
+For example, following the command above, the command below will remove %(hmm-hits)s from your %(contigs-db)s for profile HMMs that had less than 90%% coverage of the target genes:
 
 {{ codestart }}
 anvi-script-filter-hmm-hits-table -c %(contigs-db)s \
                                   --hmm-source Bacteria_71 \
-                                  --domain-hits-table path/to/DOMTABLE.txt \
-                                  --target-coverage 0.9
+                                  --domain-hits-table path/to/dir/hmm.domtable \
+                                  --model-coverage 0.9
 {{ codestop }}
+
+Some HMM profiles align multiple times to the same gene at different coordinates. The program `anvi-script-filter-hmm-hits-table` by default will use only one of those domain hits table records which could represent very little alignment coverage. To combine the domain hits table records into one hit and thus increasing alignment coverage, use the parameter `--merge-partial-hits-within-X-nts`. Briefly, if you give the parameter `--merge-partial-hits-within-X-nts` 300, `anvi-script-filter-hmm-hits-table` will merge all hits to the same gene in the domain hits table that have coordinates within 300 nucleotides of each other.  
+
+{{ codestart }}
+anvi-script-filter-hmm-hits-table -c %(contigs-db)s \
+                                  --hmm-source Bacteria_71 \
+                                  --domain-hits-table path/to/dir/hmm.domtable \
+                                  --model-coverage 0.9 \
+                                  --merge-partial-hits-within-X-nts
+{{ codestop }}
+
+{:.notice}
+The input domtblout file for %(anvi-script-filter-hmm-hits-table)s will be saved as `hmm.domtable.orig` and the output, filtered version will be saved as `hmm.domtable`. If you decide to change the coverage filtering threshold or `--merge-partial-hits-within-X-nts`, be sure to change the path for `--domain-hits-table`  to `hmm.domtable.orig`.
\ No newline at end of file
diff --git a/anvio/docs/programs/anvi-script-gen-function-matrix-across-genomes.md b/anvio/docs/programs/anvi-script-gen-function-matrix-across-genomes.md
new file mode 100644
index 0000000000..a57b9e14ed
--- /dev/null
+++ b/anvio/docs/programs/anvi-script-gen-function-matrix-across-genomes.md
@@ -0,0 +1,37 @@
+Generates TAB-delmited output files for %(functions)s from a single function annotation source across genomes.
+
+{:.notice}
+For a simlar program that reports HMM hits across genomes, see %(anvi-script-gen-hmm-hits-matrix-across-genomes)s.
+
+The input genomes for this program can be provided through an %(external-genomes)s, %(internal-genomes)s, %(genomes-storage-db)s, or any combination of these sources.
+
+This program is very similar to %(anvi-display-functions)s, and can also perform a functional enrichment analysis on-the-fly if you provide it with an optional %(groups-txt)s file. Unlike, %(anvi-display-functions)s, this program will report TAB-delmited output files for you to further analyze.
+
+You can run the program on a set of genomes for a given annotation source:
+
+{{ codestart }}
+anvi-script-gen-function-matrix-across-genomes -e %(external-genomes)s \
+                                               --annotation-source COG20_FUNCTION \
+                                               --output-file-prefix MY-GENOMES
+{{ codestop }}
+
+The command above will result in two files in your work directory, both of which will be of type %(functions-across-genomes-txt)s:
+
+* MY-GENOMES-FREQUENCY.txt
+* MY-GENOMES-PRESENCE-ABSENCE.txt
+
+{:.notice}
+You can always learn about which functions are in a given %(contigs-db)s using the program %(anvi-db-info)s.
+
+Alternatively you can run it with a %(groups-txt)s that associates sets of genomes with distinct groups,
+
+{{ codestart }}
+anvi-script-gen-function-matrix-across-genomes -i %(internal-genomes)s \
+                                               --annotation-source COG20_FUNCTION \
+                                               --output-file-prefix MY-GENOMES \
+                                               --groups-txt groups.txt
+{{ codestop }}
+
+which would generate an additional file in your work directory of type %(functional-enrichment-txt)s:
+
+* MY-GENOMES-FUNCTIONAL-ENRICHMENT.txt
diff --git a/anvio/docs/programs/anvi-script-gen-hmm-hits-matrix-across-genomes.md b/anvio/docs/programs/anvi-script-gen-hmm-hits-matrix-across-genomes.md
index 7bd724f432..7918ac9460 100644
--- a/anvio/docs/programs/anvi-script-gen-hmm-hits-matrix-across-genomes.md
+++ b/anvio/docs/programs/anvi-script-gen-hmm-hits-matrix-across-genomes.md
@@ -1,8 +1,11 @@
-This program lets you look at the %(hmm-hits)s from a single %(hmm-source)s across multiple genomes or bins, by creating a %(hmm-hits-matrix-txt)s. 
+This program lets you look at the %(hmm-hits)s from a single %(hmm-source)s across multiple genomes or bins, by creating a %(hmm-hits-across-genomes-txt)s.
 
-The input of this program can be either an %(internal-genomes)s or an %(external-genomes)s. 
+{:.notice}
+For a simlar program that reports function hits across genomes, see %(anvi-script-gen-function-matrix-across-genomes)s.
 
-Here are two example run on an internal-genomes: 
+The input of this program can be either an %(internal-genomes)s or an %(external-genomes)s.
+
+Here are two example run on an internal-genomes:
 
 {{ codestart }}
 anvi-script-gen-hmm-hits-matrix-across-genomes -i %(internal-genomes)s \
@@ -10,9 +13,9 @@ anvi-script-gen-hmm-hits-matrix-across-genomes -i %(internal-genomes)s \
                                                -o output.txt
 {{ codestop }}
 
-To list the %(hmm-source)ss common to the datasets that you're analyzing, just add the flag `--list-hmm-sources`, as so: 
+To list the %(hmm-source)ss common to the datasets that you're analyzing, just add the flag `--list-hmm-sources`, as so:
 
 {{ codestart }}
 anvi-script-gen-hmm-hits-matrix-across-genomes -e %(external-genomes)s \
-                                               --list-hmm-sources 
+                                               --list-hmm-sources
 {{ codestop }}
diff --git a/anvio/docs/programs/anvi-script-gen-user-module-file.md b/anvio/docs/programs/anvi-script-gen-user-module-file.md
new file mode 100644
index 0000000000..c80ba609ca
--- /dev/null
+++ b/anvio/docs/programs/anvi-script-gen-user-module-file.md
@@ -0,0 +1,65 @@
+Given an %(enzymes-list-for-module)s file, this script will produce a properly-formatted module file for use in %(anvi-setup-user-modules)s.
+
+## Basics
+You should provide this script with an accession ID for your module (which will become the module file name) (`-I`); a name for the module (`-n`); a categorization which includes module class, category, and sub-category separated by semicolons (`-c`); an %(enzymes-list-for-module)s file listing the component enzymes, their annotation sources, and their functions (`-e`); and a definition which puts these enzymes in the proper order (`-d`):
+
+{{ codestart }}
+anvi-script-gen-user-module-file -I "UD0023" \
+                  -n "Frankenstein pathway for demo purposes" \
+                  -c "User modules; Demo set; Frankenstein metabolism" \
+                  -e %(enzymes-list-for-module)s \
+                  -d "K01657+K01658 PF06603.14,(COG1362 TIGR01709.2)"
+{{ codestop }}
+
+Then this script will produce a properly-formatted module file, which in this case would be called `UD0023` and would look like this (see %(enzymes-list-for-module)s for the example file containing these enzymes):
+
+```
+ENTRY       UD0023
+NAME        Frankenstein pathway for demo purposes
+DEFINITION  K01657+K01658 PF06603.14,(COG1362 TIGR01709.2)
+ORTHOLOGY   K01657  anthranilate synthase component I [EC:4.1.3.27]
+            K01658  anthranilate synthase component II [EC:4.1.3.27]
+            PF06603.14  UpxZ
+            COG1362  Aspartyl aminopeptidase
+            TIGR01709.2  type II secretion system protein GspL
+CLASS       User modules; Demo set; Frankenstein metabolism
+ANNOTATION_SOURCE  K01657  KOfam
+                   K01658  KOfam
+                   PF06603.14  METABOLISM_HMM
+                   COG1362  COG20_FUNCTION
+                   TIGR01709.2  TIGRFAM
+\\\
+```
+
+## Automatically generating the module definition
+
+The module definition parameter is not required, and if you do not provide one, the definition will be generated with each enzyme in the input file as a different 'step' of the module. This option may be especially appropriate for generating what KEGG calls "signature modules", in which each enzyme is not technically part of a metabolic pathway, but instead the module represents a functionally-related set of enzymes (like all tRNA modification enzymes, for instance).
+
+Here is an example command without the definition parameter:
+
+{{ codestart }}
+anvi-script-gen-user-module-file -I "UD0023" \
+                  -n "Frankenstein pathway for demo purposes" \
+                  -c "User modules; Demo set; Frankenstein metabolism" \
+                  -e %(enzymes-list-for-module)s \
+{{ codestop }}
+
+And here is the module file that this would produce:
+
+```
+ENTRY       UD0023
+NAME        Frankenstein pathway for demo purposes
+DEFINITION  K01657 K01658 PF06603.14 COG1362 TIGR01709.2
+ORTHOLOGY   K01657  anthranilate synthase component I [EC:4.1.3.27]
+            K01658  anthranilate synthase component II [EC:4.1.3.27]
+            PF06603.14  UpxZ
+            COG1362  Aspartyl aminopeptidase
+            TIGR01709.2  type II secretion system protein GspL
+CLASS       User modules; Demo set; Frankenstein metabolism
+ANNOTATION_SOURCE  K01657  KOfam
+                   K01658  KOfam
+                   PF06603.14  METABOLISM_HMM
+                   COG1362  COG20_FUNCTION
+                   TIGR01709.2  TIGRFAM
+\\\
+```
diff --git a/anvio/docs/programs/anvi-script-gen_stats_for_single_copy_genes.py.md b/anvio/docs/programs/anvi-script-gen_stats_for_single_copy_genes.py.md
index b9ca83e793..a2a83ce2ae 100644
--- a/anvio/docs/programs/anvi-script-gen_stats_for_single_copy_genes.py.md
+++ b/anvio/docs/programs/anvi-script-gen_stats_for_single_copy_genes.py.md
@@ -1,16 +1,19 @@
-This program **provides information about each of the single copy core genes in your %(contigs-db)s**. 
+This program **provides information about each of the single-copy core genes in your %(contigs-db)s**.
 
-Simply provide a %(contigs-db)s, and it will create a %(genes-stats)s file containing a variety of information about the single copy core genes in your database. 
+Simply provide a %(contigs-db)s, and it will create a %(genes-stats)s file containing a variety of information about the single copy core genes in your database.
+
+{:.notice}
+This is kind of an old anvi'o script that we still keep around because history. But if you are here, you may also consider taking a look at the programs %(anvi-script-gen-hmm-hits-matrix-across-genomes)s and %(anvi-get-sequences-for-hmm-hits)s.
 
 {{ codestart }}
-anvi-script-gen_stats_for_single_copy_core_genes.py -c %(contigs-db)s 
+anvi-script-gen_stats_for_single_copy_genes.py -c %(contigs-db)s
 {{ codestop }}
 
-The console output will tell you the total number of contigs, splits, and nucleotides in your %(contigs-db)s, while the text output will tell you the source, name, and e-value of each single-copy core gene. 
+The console output will tell you the total number of contigs, splits, and nucleotides in your %(contigs-db)s, while the text output will tell you the source, name, and e-value of each single-copy core gene.
 
-You can get information from only single-copy core genes from a specific source. To see what sources are availible in your %(contigs-db)s, run 
+You can get information from only single-copy core genes from a specific source. To see what sources are available in your %(contigs-db)s, run
 
 {{ codestart }}
-anvi-script-gen_stats_for_single_copy_core_genes.py -c %(contigs-db)s \
-                                                    --list-sources
+anvi-script-gen_stats_for_single_copy_genes.py -c %(contigs-db)s \
+                                               --list-sources
 {{ codestop }}
diff --git a/anvio/docs/programs/anvi-script-get-primer-matches.md b/anvio/docs/programs/anvi-script-get-primer-matches.md
deleted file mode 100644
index 200d11f1d4..0000000000
--- a/anvio/docs/programs/anvi-script-get-primer-matches.md
+++ /dev/null
@@ -1,26 +0,0 @@
-This program finds all reads in a given set of FASTQ files based on user-provided primer sequences.
-
-The primary utility of this program is to get back short reads that may be extending into hypervariable regions of genomes that often suffer from significant drops in coverage in conventional read-recruitment analyses, thus preventing any meaningful insights into coverage or variability patterns.
-
-In these situations, one can identify downstream conserved sequences (typically 15 to 25 nucleotides long) using the anvi'o interactive interface or through other means, and then provide those sequences to this program so it can find all matching sequences in a set of FASTQ files without any mapping.
-
-{:.notice}
-To instead get short reads mapping to a gene, use %(anvi-get-short-reads-mapping-to-a-gene)s.
-
-Here is a typical command line to run it:
-
-{{ codestart }}
-anvi-script-get-primer-matches --%(samples-txt)s samples.txt  \
-                               --primer-sequences sequences.txt \
-                               --output-dir OUTPUT
-{{ codestop }}
-
-The %(samples-txt)s file is to list all the samples one is interested in, and the primer sequences file lists each primer sequence of interest. Each of these files can contain a single entry, or multiple ones.
-
-This will output all of the matching sequences into three %(fasta)s files in the directory `OUTPUT`. These %(fasta)s files differ in their format and will include those that describe,
-
-* Raw sequences: sequences from the FASTQ files that matched to a primer where each sequence reported as is with no processing.
-* Trimmed sequences: Raw sequences where the upstream of the primer sequence trimmed, as a result all matching sequences will start at the same position, and
-* Gapped sequences: Trimmed sequences padded with gap characters to eliminate length variation artificially.
-
-The last two formats provide downstream possibilities to generate %(oligotypes)s and cluster short reads from an hypervariable region to estimate their diversity and oligotype proportion. 
diff --git a/anvio/docs/programs/anvi-search-palindromes.md b/anvio/docs/programs/anvi-search-palindromes.md
new file mode 100644
index 0000000000..a9b4f78520
--- /dev/null
+++ b/anvio/docs/programs/anvi-search-palindromes.md
@@ -0,0 +1,249 @@
+This program finds [palindromes](https://en.wikipedia.org/wiki/Palindromic_sequence) in any DNA sequence. It will search for palindromes that matches criteria listed by the user (i.e., minimum length of the palindromic sequences, maximum number of mismatches, and minimum distance between the two palindromic regions, and more).
+
+The program will print out its findings (and tribulations) and will optionally report the search results as a %(palindromes-txt)s.
+
+### Kinds of palindromes
+
+Please note that this program can find both **'in-place' palindromes** (i.e., the identity and order of nucleotides on one strand match to those on the complementary strand) that will look like this in the genomic context:
+
+```
+0        1
+1234567890
+...TCGA...
+```
+
+As well as **'distant palindromes'** (i.e., special cases of palindromes that form [hairpins](https://en.wikipedia.org/wiki/Stem-loop)) that will look like this in the genomic context:
+
+```
+0        1
+12345678901234567
+...ATCC...GGAT...
+```
+
+In this example, the 'distance' for the in-place palindrome will be 0, and the 'distance' for the distant palindromes will be 3. You can set the `--min-distance` parameter to anything greater than 0 to only report distant palindromes, and eliminate all in-place palindromes from your results.
+
+{:.notice}
+The speed of the algorithm will depend on the minimum palindrome length parameter. The shorter the palindrome length, the longer the processing time. Searching for palindromes longer than 50 nts in a 10,000,000 nts long sequence takes about 4 seconds on a laptop.
+
+### Sequence input sources
+
+%(anvi-search-palindromes)s can use multiple different sequence sources.
+
+#### Contigs database
+
+In this mode %(anvi-search-palindromes)s will go through every contig sequence in a given %(contigs-db)s.
+
+{{ codestart }}
+%(anvi-search-palindromes)s -c %(contigs-db)s \
+                         --output-file %(palindromes-txt)s
+{{ codestop }}
+
+#### FASTA file
+
+Alternatively, you can use a %(fasta)s file as input.
+
+{{ codestart }}
+%(anvi-search-palindromes)s --fasta-file %(fasta)s \
+                         --output-file %(palindromes-txt)s
+{{ codestop }}
+
+#### DNA sequence
+
+Those who are lazy can also pass a DNA sequence for quick searches:
+
+{{ codestart }}
+%(anvi-search-palindromes)s --dna-sequence (.. A DNA SEQUENCE OF ANY LENGTH ..)
+{{ codestop }}
+
+
+### Verbose output
+
+If you provide an `--output-file` parameter, your results will be stored into a %(palindromes-txt)s file for downstream analyses. If you do not provide an output file, or explicitly asked for a verbose output with the flag `--verbose`, you will see all your palindromes listed on your screen.
+
+Here is an example with a single sequence and no output file path:
+
+{{ codestart }}
+%(anvi-search-palindromes)s --dna-sequence CATTGACGTTGACGGCGACCGGTCGGTGATCACCGACCGGTCGCCGTCAACGTCAATG
+{{ codestop }}
+
+```
+SEARCH SETTINGS
+===============================================
+Minimum palindrome length ....................: 10
+Number of mismatches allowed .................: 0
+Minimum gap length ...........................: 0
+Be verbose? ..................................: Yes
+
+Number of threads for BLAST ..................: 1
+BLAST word size ..............................: 10
+
+
+58 nts palindrome
+===============================================
+Method .......................................: BLAST
+1st sequence [start:stop] ....................: [0:58]
+2nd sequence [start:stop] ....................: [0:58]
+Number of mismatches .........................: 0
+Distance between .............................: 0
+1st sequence .................................: CATTGACGTTGACGGCGACCGGTCGGTGATCACCGACCGGTCGCCGTCAACGTCAATG
+ALN ..........................................: ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
+2nd sequence .................................: CATTGACGTTGACGGCGACCGGTCGGTGATCACCGACCGGTCGCCGTCAACGTCAATG
+
+SEARCH RESULTS
+===============================================
+Total number of sequences processed ..........: 1
+Total number of palindromes found ............: 1
+Longest palindrome ...........................: 58
+Most distant palindrome ......................: 0
+```
+
+Here is another example with a %(contigs-db)s, an output file path, and the `--verbose` flag:
+
+{{ codestart }}
+%(anvi-search-palindromes)s -c CONTIGS.db \
+                         --min-palindrome-length 50 \
+                         --max-num-mismatches 1 \
+                         --output-file palindromes.txt \
+                         --verbose
+{{ codestop }}
+
+```
+SEARCH SETTINGS
+===============================================
+Minimum palindrome length ....................: 50
+Number of mismatches allowed .................: 1
+Minimum gap length ...........................: 0
+Be verbose? ..................................: Yes
+
+147 nts palindrome"
+===============================================
+1st sequence [start:stop] ....................: [268872:269019]
+2nd sequence [start:stop] ....................: [269631:269778]
+Number of mismatches .........................: 1
+Distance between .............................: 759
+1st sequence .................................: TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAAGCTAGAAAAA
+ALN ..........................................: |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||x|||||||||
+2nd sequence .................................: TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAAACTAGAAAAA
+
+SEARCH RESULTS
+===============================================
+Total number of sequences processed ..........: 11
+Total number of palindromes found ............: 1
+Longest palindrome ...........................: 147
+Most distant palindrome ......................: 759
+
+Output file ..................................: palindromes.txt
+```
+
+
+### Programmer access
+
+Just like everything else in anvi'o, you can access the functionality the program `anvi-search-palindromes` offers without using the program itself by inheriting an instance from the `Palindromes` class and use it in your own Python scripts.
+
+Here is an example, first with an input file and then an ad hoc sequence. Starting with the file (i.e., an anvi'o %(contigs-db)s):
+
+``` python
+# import argparse to pass arguments to the class
+import argparse
+
+# `Palindromes` is the class we need
+from anvio.sequencefeatures import Palindromes
+
+# we also import `Progress` and `Run` helper classes from the terminal
+# module to ask the class to print no output messages to our workspace
+# (this is obviously optional)
+from anvio.terminal import Progress, Run
+
+# get an instance for the case of a contigs database, and process everything in it.
+# this example is with an anvi'o contigs db, but you can also pass a FASTA file
+# via `fasta_file='FILE.fa'` instead of `contigs_db='CONTIGS.db'`:
+p = Palindromes(argparse.Namespace(contigs_db='CONTIGS.db', min_palindrome_length=50), run=Run(verbose=False), progress=Progress(verbose=False))
+p.process()
+```
+
+Once the processing is done, the palindromes are stored in a member dictionary, which contains a key for each sequence:
+
+``` python
+print(p.palindromes)
+
+>>> {'Day17a_QCcontig1' : [],
+     'Day17a_QCcontig2' : [],
+     'Day17a_QCcontig4' : [<anvio.sequencefeatures.Palindrome object at 0x7f8d6072f278>],
+     'Day17a_QCcontig6' : [],
+     'Day17a_QCcontig10': [], 
+     'Day17a_QCcontig16': [],
+     'Day17a_QCcontig23': [],
+     'Day17a_QCcontig24': [],
+     'Day17a_QCcontig45': [],
+     'Day17a_QCcontig54': [],
+     'Day17a_QCcontig97': []}
+
+```
+
+Non-empty arrays are the proper palindromes found in a given sequence, described with an instance of the class `Palindrome` which is defined as the following:
+
+``` python
+class Palindrome:
+    def __init__(self, run=terminal.Run()):
+        self.run=run
+        self.first_start = None
+        self.fisrt_end = None
+        self.first_sequence = None
+        self.second_start = None
+        self.second_end = None
+        self.second_sequence = None
+        self.num_mismatches = None
+        self.length = None
+        self.distance = None
+        self.midline = ''
+```
+
+Not only you can access to each member variable to deal with them, you can easily display the contents of one using the `display()` function:
+
+``` python
+palindrome = p.palindromes['Day17a_QCcontig4'][0]
+print(palindrome)
+
+>>> TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAA (268872:269009) :: TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAA (269631:269768)
+
+palindrome.display()
+
+>>> 137 nts palindrome"
+>>> ===============================================
+>>> 1st sequence [start:stop] ....................: [268872:269009]
+>>> 2nd sequence [start:stop] ....................: [269631:269768]
+>>> Number of mismatches .........................: 0
+>>> Distance between .............................: 759
+>>> 1st sequence .................................: TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAA
+>>> ALN ..........................................: |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
+>>> 2nd sequence .................................: TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAA
+```
+
+Alternatively you can process an ad hoc sequence without any input files,
+
+``` python
+p = Palindromes()
+
+# let's set some values for fun,
+p.min_palindrome_length = 14
+p.max_num_mismatches = 1
+
+# to go through some sequences of your liking:
+some_sequences = {'a_sequence': 'CATTGACGTTGACGGCGACCGGTCGGTGATCACCGACCGGTCGCCGTCAACGTCAATG',
+                  'antoher_sequence': 'AAATCGGCCGATTT',
+                  'sequence_with_no_palindrome': 'AAAAAAAAAAAAAA'}
+
+# in this case (where there are no input files) you can call the function `find`,
+# rather than `process`, to populate the `p.palindromes` dictionary:
+for sequence_name in some_sequences:
+    p.find(some_sequences[sequence_name], sequence_name=sequence_name)
+
+# tadaaa:
+print(p.palindromes)
+
+>>> {'a_sequence': [<anvio.sequencefeatures.Palindrome object at 0x7fce807ddb00>],
+     'antoher_sequence': [<anvio.sequencefeatures.Palindrome object at 0x7fce807ddc88>],
+     'sequence_with_no_palindrome': []}
+```
+
+If you are a programmer and need more from this module, please let us know.
\ No newline at end of file
diff --git a/anvio/docs/programs/anvi-search-primers.md b/anvio/docs/programs/anvi-search-primers.md
new file mode 100644
index 0000000000..f9e5e13db8
--- /dev/null
+++ b/anvio/docs/programs/anvi-search-primers.md
@@ -0,0 +1,114 @@
+This program finds all reads in a given set of FASTQ files provided as %(samples-txt)s based on user-provided primer sequences as %(primers-txt)s.
+
+One of many potential uses of this program is to get back short reads that may be extending into hypervariable regions of genomes that often suffer from significant drops in coverage in conventional read-recruitment analyses, thus preventing any meaningful insights into coverage or variability patterns. In such situations, one can identify downstream conserved sequences (typically 15 to 25 nucleotides long) using the anvi'o interactive interface or through other means, and then provide those sequences to this program so it can find all matching sequences in a set of FASTQ files without any mapping.
+
+{:.notice}
+To instead get short reads mapping to a gene, use %(anvi-get-short-reads-mapping-to-a-gene)s.
+
+Here is a typical command line to run it:
+
+{{ codestart }}
+anvi-search-primers --samples-txt %(samples-txt)s \
+                    --primers-txt %(primers-txt)s \
+                    --output-dir OUTPUT
+{{ codestop }}
+
+The %(samples-txt)s file is to list all the samples one is interested in, and the %(primers-txt)s file lists each primer sequence of interest, and their user-defined names. Each of these files can contain a single entry, or multiple ones.
+
+This will output all of the matching sequences into three %(fasta)s files in the directory `OUTPUT`. These %(fasta)s files differ in their format and will include those that describe,
+
+* Remainders are the downstream sequences after primer match, excluding the primer sequence.
+* Primer matches are the primer-matching part of the match sequences (useful if one is working with degenerate primers and wishes to see the diversity of matching seqeunces).
+* Trimmed sequences are trimmed to the shortest length (and include primer match). All matching sequences will start at the same position.
+* Gapped sequences are not trimmed, but shorter ones are padded with gaps to eliminate length variation artificially.
+
+The last two formats provide downstream possibilities to generate %(oligotypes)s and cluster short reads from an hypervariable region to estimate their diversity and oligotype proportion.
+
+There will only be a single FASTA file in the output directory for raw sequences if the user asked only the primer matches to be reported with the flag `--only-report-primer-matches` or `--only-report-remainders`.
+
+### For programmers
+
+You can access to the functionality this program provides also programmatically. Here is an example:
+
+``` python
+
+import argparse
+
+from anvio.sequencefeatures import PrimerSearch
+
+# define a samples dictionary, there may be as many samples as you want
+samples = {'sample_01': {'r1': 'sample_01_R1.fastq', 'r2': 'sample_01_R2.fastq'},
+           'sample_02': {'r1': 'sample_02_R1.fastq', 'r2': 'sample_02_R2.fastq'}}
+
+# define a primers dictionary, again, you may have as many primers as you
+# wish
+primers = {'primer_01': {'primer_sequence': 'GAGCAAAGATCATGTTTCAAAA.ACGTTC'},
+           'primer_02': {'primer_sequence': 'AAGT.CTATCAGAACTTAGAGTAGAGCAC'},
+           'primer_03': {'primer_sequence': 'GGCAGAAATGCCAAGT.CTATCAGAACTT'}}
+
+# get an instance of the class, see the class header for all
+# parameters.
+s = PrimerSearch(argparse.Namespace(samples_dict=samples, primers_dict=primers, min_remainder_length=6))
+
+# you can go through a for loop for each sample, or simply call
+# s.process() to process all samples with all primers automatcially.
+# here, though, this example will simply focus on a single sample
+# to recover all primer hits, and then get sequences for a single primer
+sample_dict, primers_dict = s.process_sample('sample_01')
+
+# once primer hits are recovered, one can get any set of sequences
+# of interest
+sequences = s.get_sequences('primer_01', primers_dict, target='gapped')
+print(sequences)
+>>> ['GAGCAAAGATCATGTTTCAAAAGACGTTCGTCTGA-----------------------------------------------------------------------------------------------------------',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTCGTCTGATGCAAC-----------------------------------------------------------------------------------------------------',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTCGTCTGATGCAACA----------------------------------------------------------------------------------------------------',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTCGTCTGATGCAACAA---------------------------------------------------------------------------------------------------',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTCGTCTGATGCAACAAAGATAAGC-------------------------------------------------------------------------------------------',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTCGTCTGATGCAACAAAGATAAGCCGCTTTTTT----------------------------------------------------------------------------------',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTCGTCTGATGCAACAAAGATAAGCCGCTTTTTT----------------------------------------------------------------------------------',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTCCTTTTTTGAAACACTGTTTTGGCTCTGCTCACTGAAGGCCAAAGG--------------------------------------------------------------------',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTCCTTTTTTGAAACACTGTTTTGGCTCTGCTCACTGAAGGCCAAAGGAAGAGATAAATGGCTGATAATTAAAACAATGTAGAAATATTTGC------------------------',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTCCTTTTTTGAAACACTGTTTTGGCTCTGCTCACTGAAGGCCAAAGGAAGAGATAAATGGCTGATAATTAAAACAATGTAGAAATATTTGCACAGATGAAAAAAGCGGCTTATCT']
+
+sequences = s.get_sequences('primer_01', primers_dict, target='trimmed')
+print(sequences)
+>>> ['GAAGATAGCCGTAGAAAGTGTAGAGTTTTAGGAGT',
+     'AGCCGTAGAAAGTGTAGAGTTTCAGGAGTTTGGAG',
+     'GCCGTAGAAAGTGTAGAGTTTTAGGAGTTTGGAGG',
+     'CGTAGAAAGTGTAGAGTTTTAGGAGTTTGGAGGGG',
+     'AGTGTAGAGTTTTAGGAGTTTGGAGGGGAGAATTA',
+     'TTTAGGAGTTTGGAGGGGAGAATTAAGAAACGGTA',
+     'TTTAGGAGTTTGGAGGGGAGAATTAAGAAACGGTA',
+     'AGGGTAGAATTAAGAAACGGTAACGGTTGGTCTTG',
+     'AAGAATAGTTGAAGAAGAATTATTGTATGGGAGAG',
+     'TGTATGGGAGAGCAAAGATCATGTTTCAAAAGACG']
+
+sequences = s.get_sequences('primer_01', primers_dict, target='primer_matches')
+print(sequences)
+>>> ['GAGCAAAGATCATGTTTCAAAAGACGTTC',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTC',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTC',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTC',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTC',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTC',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTC',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTC',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTC',
+     'GAGCAAAGATCATGTTTCAAAAGACGTTC']
+
+s = PrimerSearch(argparse.Namespace(samples_dict=samples, primers_dict=primers, stop_after=10, min_remainder_length=6, only_keep_remainder=True))
+sample_dict, primers_dict = s.process_sample('sample_01')
+sequences = s.get_sequences('primer_01', primers_dict, target='remainder')
+print(sequences)
+>>> ['GTCTGA',
+     'GTCTGA',
+     'GTCTGA',
+     'GTCTGA',
+     'GTCTGA',
+     'GTCTGA',
+     'GTCTGA',
+     'CTTTTT',
+     'CTTTTT',
+     'CTTTTT']
+```
diff --git a/anvio/docs/programs/anvi-setup-kegg-kofams.md b/anvio/docs/programs/anvi-setup-kegg-kofams.md
index 3222dd8e39..7ecbd24a44 100644
--- a/anvio/docs/programs/anvi-setup-kegg-kofams.md
+++ b/anvio/docs/programs/anvi-setup-kegg-kofams.md
@@ -1,6 +1,6 @@
-%(anvi-setup-kegg-kofams)s downloads and organizes data from KEGG for use by other programs, namely %(anvi-run-kegg-kofams)s and %(anvi-estimate-metabolism)s. It downloads HMM profiles from the [KOfam](https://academic.oup.com/bioinformatics/article/36/7/2251/5631907) database as well as metabolism information such as that stored in the [KEGG MODULES resource](https://www.genome.jp/kegg/module.html). The KOfam profiles are prepared for later use by the HMMER software, and the metabolism information is made accessible to other anvi'o programs as a %(modules-db)s. This program generates a directory with these files (%(kegg-data)s), which by default is located at `anvio/anvio/data/misc/KEGG/`.
+%(anvi-setup-kegg-kofams)s downloads and organizes data from KEGG for use by other programs, namely %(anvi-run-kegg-kofams)s and %(anvi-estimate-metabolism)s. It downloads HMM profiles from the [KOfam](https://academic.oup.com/bioinformatics/article/36/7/2251/5631907) database as well as the metabolism information of [KEGG MODULES](https://www.genome.jp/kegg/module.html) and the functional classification information of [KEGG BRITE](https://www.genome.jp/kegg/brite.html). The KOfam profiles are prepared for later use by the HMMER software, and the information from MODULES and BRITE is made accessible to other anvi'o programs as a %(modules-db)s. This program generates a directory with these files (%(kegg-data)s), which by default is located at `anvio/anvio/data/misc/KEGG/`.
 
-### Default Usage
+## Default usage: downloading a KEGG snapshot
 
 If you do not provide any arguments to this program, the KOfam profiles and KEGG information will be set up in the default KEGG data directory.
 
@@ -8,16 +8,22 @@ If you do not provide any arguments to this program, the KOfam profiles and KEGG
 anvi-setup-kegg-kofams
 {{ codestop }}
 
-**How does it work?**
-By default, this program downloads a snapshot of the KEGG databases, already converted into an anvi'o-compatible format. The snapshot is a `.tar.gz` archive of a KEGG data directory that was generated around the time of the latest anvi'o release.  
+### How does it work?
+
+By default, this program downloads a snapshot of the KEGG databases, already converted into an anvi'o-compatible format. The snapshot is a `.tar.gz` archive of a KEGG data directory that was (usually) generated around the time of the latest anvi'o release.
 
 After the default KEGG archive is downloaded, it is unpacked, checked that all the expected files are present, and moved into the KEGG data directory.
 
+### Why is this the default?
+
 Doing it this way ensures that almost everyone uses the same version of KEGG data, which is good for reproducibility and makes it easy to share annotated datasets. The KEGG resources are updated fairly often, and we found that constantly keeping the KEGG data directory in sync with them was not ideal, because every time the data directory is updated, you have to update the KOfam annotations in all your contigs databases to keep them compatible with the current %(modules-db)s (unless you were smart enough to keep the old version of the KEGG data directory around somewhere). And of course that introduces a new nightmare as soon as you want to share datasets with your collaborators who do not have the same KEGG data directory version as you. With everyone using the same %(kegg-data)s by default, we can avoid these issues.
 
-But the trade-off to this is that the default KEGG data version is tied to an anvi'o release, and it will not always include the most up-to-date information from KEGG. Luckily, for those who want the most updated version of KEGG, you can still use this program to generate the KEGG data directory by downloading directly from KEGG (see 'Generating an anvi'o compatible KEGG data directory from scratch' below).
+But the trade-off to this is that the default KEGG data version is tied to an anvi'o release, and it will not always include the most up-to-date information from KEGG. Luckily, **for those who want the most updated version of KEGG, you can still use this program to generate the KEGG data directory by downloading directly from KEGG** (see 'Getting the most up-to-date KEGG data' section below).
 
-### How to set up KEGG data in a non-default location
+{:.warning}
+BRITE hierarchy data is not included in the default KEGG snapshot for anvi'o `v7`. Starting from the `v7.1-dev` version of anvi'o, there is a new default KEGG snapshot including BRITE information. This data can also be set up by using the option to download directly from KEGG in `v7.1-dev` or later.
+
+### Set up KEGG data in a non-default location
 
 You can specify a different directory in which to put this data, if you wish:
 
@@ -32,10 +38,11 @@ This is helpful if you don't have write access to the default directory location
 By default, the KEGG snapshot that will be installed is the latest one, which is up-to-date with your current version of anvi'o. If, however, you want a snapshot from an earlier version, you can run something like the following to get it:
 
 {{ codestart }}
-anvi-setup-kegg-kofams --kegg-data-dir /path/to/directory/KEGG --kegg-snapshot v2020-04-27
+anvi-setup-kegg-kofams --kegg-data-dir /path/to/directory/KEGG \
+                       --kegg-snapshot v2020-04-27
 {{ codestop }}
 
-Just keep in mind that you may need to migrate the MODULES.db from these earlier versions in order to make it compatible with the current metabolism code. Anvi'o will tell you if you do.
+Just keep in mind that you may need to migrate the MODULES.db from these earlier versions in order to make it compatible with the current metabolism code. Anvi'o will tell you if you need to do this.
 
 Not sure what KEGG snapshots are available for you to request? Well, you could check out the YAML file at `anvio/anvio/data/misc/KEGG-SNAPSHOTS.yaml` in your anvi'o directory, or you could just give something random to the `--kegg-snapshot` parameter and watch anvi'o freak out and tell you what is available:
 {{ codestart }}
@@ -43,7 +50,7 @@ anvi-setup-kegg-kofams --kegg-snapshot hahaha
 {{ codestop }}
 
 
-### Generating an anvi'o compatible KEGG data directory from scratch
+## Getting the most up-to-date KEGG data: downloading directly from KEGG
 
 This program is also capable of downloading data directly from KEGG and converting it into an anvi'o-compatible format. In fact, this is how we generate the default KEGG archive. If you want the latest KEGG data instead of the default snapshot of KEGG, try the following:
 
@@ -51,25 +58,76 @@ This program is also capable of downloading data directly from KEGG and converti
 anvi-setup-kegg-kofams --download-from-kegg
 {{ codestop }}
 
-**How does it work?**
+### How does it work?
+
 KOfam profiles are downloadable from KEGG's [FTP site](ftp://ftp.genome.jp/pub/db/kofam/) and all other KEGG data is accessible as flat text files through their [API](https://www.kegg.jp/kegg/rest/keggapi.html). When you run this program it will first get all the files that it needs from these sources, and then it will process them by doing the following:
 
 - determine if any KOfam profiles are missing bitscore thresholds, and remove those from the standard profile location so that they are not used for annotation (if you want to see these, you will find them in the `orphan_data` folder in your KEGG data directory)
 - concatenate all remaining KOfam profiles into one file and run `hmmpress` on them
-- parse the flat text file for each KEGG module and store the information into the %(modules-db)s
+- parse the flat text file for each KEGG module and the JSON file for each BRITE hierarchy
+- store the MODULE and BRITE information in the %(modules-db)s
 
 An important thing to note about this option is that it has rigid expectations for the format of the KEGG data that it works with. Future updates to KEGG may break things such that the data can no longer be directly obtained from KEGG or properly processed. In the sad event that this happens, you will have to download KEGG from one of our archives instead.
 
-**How do I share this data?**
+### The --only-download option
+
+Suppose you only want to download data from KEGG, but you don't need a %(modules-db)s - at least not right away. You can instruct this program to stop after downloading by providing the `--only-download` flag:
+
+{{ codestart }}
+anvi-setup-kegg-kofams --download-from-kegg \
+                       --only-download \
+                       --kegg-data-dir /path/to/directory/KEGG
+{{ codestop }}
+
+It's probably a good idea in this case to specify where you want this data to go using `--kegg-data-dir`, to make sure you can find it later.
+
+ Actually, in addition to downloading the data, the program will also do a bit of processing on the KOfam profiles: it will remove those without bitscore thresholds, concatenate the remaining profiles into one file, and run `hmmpress` on them. But no database will be created when this flag is used.
+
+{:.notice}
+This option is primarily useful for developers to test `anvi-setup-kegg-kofams` - for instance, so that you can download the data once and run the database setup option (`--only-database`) multiple times. However, if non-developers find another practical use-case for this flag, we'd be happy to add those ideas here. Send us a message, or feel free to edit this file and pull request your changes on the anvi'o Github repository. :)
+
+### The --only-database option
+
+Let's say you already have KEGG data on your computer that you got by running this program with the `--only-download` flag. Now you want to turn this data into a %(modules-db)s. To do that, run this program using the `--only-database` flag and provide the location of the pre-downloaded KEGG data:
+
+{{ codestart }}
+anvi-setup-kegg-kofams --download-from-kegg \
+                       --only-database \
+                       --kegg-data-dir /path/to/directory/KEGG
+{{ codestop }}
+
+{:.notice}
+The KEGG data that you already have on your computer has to be in the format expected by this program, or you'll run into errors. Pretty much the only reasonable way to get the data into the proper format is to run this program with the `--only-download` option. Otherwise you would have to go through a lot of manual file-changing shenanigans - possible, but not advisable.
+
+One more note: since this flag is most often used for testing the database setup capabilities of this program, which entails running `anvi-setup-kegg-kofams -D --only-database` multiple times on the same KEGG data directory, there is an additional flag that may be useful in this context. To avoid having to manually delete the created modules database each time you run, you can use the `--overwrite-output-destinations` flag:
+
+{{ codestart }}
+anvi-setup-kegg-kofams --download-from-kegg \
+                       --only-database \
+                       --kegg-data-dir /path/to/directory/KEGG \
+                       --overwrite-output-destinations
+{{ codestop }}
+
+### Avoiding BRITE setup
+
+As of anvi'o `v7.1-dev` or later, KEGG BRITE hierarchies are added to the %(modules-db)s when running this program with the `-D` (`--download-from-kegg`) option. If you don't want this cool new feature - because you are a rebel, or adverse to change, or something is not working on your computer, whatever - then fine. You can use the `--skip-brite-hierarchies` flag:
+
+{{ codestart }}
+anvi-setup-kegg-kofams -D --skip-brite-hierarchies
+{{ codestop }}
+
+Hopefully it makes sense to you that this flag does not work when setting up from a KEGG snapshot that already includes BRITE data in it.
+
+### How do I share this data?
 Suppose you have been living on the edge and annotating your contigs databases with a non-default version of %(kegg-data)s, and you share these databases with a collaborator who wants to run downstream programs like %(anvi-estimate-metabolism)s on them. Your collaborator (who has a different version of %(kegg-data)s on their computer) will likely get version errors as detailed on the %(anvi-estimate-metabolism)s help page.
 
 In order for your collaborator to be able to work with your dataset, they need to have the same %(kegg-data)s version as you did when you ran %(anvi-run-kegg-kofams)s. If you are very lucky and KEGG has not been updated since you set up your %(kegg-data)s, they may be able to run `anvi-setup-kegg-kofams -D` to get it. But if not, there are a few options for you to share your version of %(kegg-data)s:
 
 1. You could send them your KEGG data directory. First, run `tar -czvf kegg_archive.tar.gz ./KEGG` on the data directory to compress and archive it before sending it over (this command _must_ be run from its parent directory so that the archive has the expected directory structure when it is unpacked). Then your collaborator can just run `anvi-setup-kegg-kofams --kegg-archive kegg_archive.tar.gz --kegg-data-dir ./KEGG_ARCHIVE` and be good to go. They would just have to use `--kegg-data-dir ./KEGG_ARCHIVE` when running downstream programs. The problem here is that even the archived %(kegg-data)s is quite large, ~4-5GB, and may be unfeasible for you to send.
 2. You could share with your collaborator just the %(modules-db)s. If all they want to do is to run %(anvi-estimate-metabolism)s on databases annotated by your version of the KEGG data directory, this should be all they need. They would need to pass the folder containing your %(modules-db)s to %(anvi-estimate-metabolism)s using the `--kegg-data-dir` parameter.
-3. If your collaborator also wants to be able to annotate other databases with your version of %(kegg-data)s, then they need to have the KOfam profiles as well. You can send them your %(modules-db)s and have them download the KOfam profiles most similar to the ones you have from the [KOfam archives](anvi-setup-kegg-kofams) (which are labeled by date). Then they would have to essentially construct their own KEGG data directory by copying the structure of the default one and putting the downloaded files (and the %(modules-db)s you sent them) into the correct locations. The KOfam profiles must be concatenated into a `Kofam.hmm` file and `hmmpress` must be run on that file to generate the required indices for `hmmsearch`. Your collaborator must also have the `ko_list.txt` file (which _should_ be downloaded with the profiles) in the right spot. Then they could pass their makeshift KEGG data directory to %(anvi-run-kegg-kofams)s using `--kegg-data-dir`, and they should be golden. (A word of warning: they may want to remove KOs without bitscore thresholds in the `ko_list.txt` before concatenating the profiles, otherwise they will likely get a lot of weak hits for these KOs.)
+3. If your collaborator also wants to be able to annotate other databases with your version of %(kegg-data)s, then they need to have the KOfam profiles as well. You can send them your %(modules-db)s and have them download the KOfam profiles most similar to the ones you have from the [KOfam archives](https://www.genome.jp/ftp/db/kofam/archives/) (which are labeled by date). Then they would have to essentially construct their own KEGG data directory by copying the structure of the default one and putting the downloaded files (and the %(modules-db)s you sent them) into the correct locations. The KOfam profiles must be concatenated into a `Kofam.hmm` file and `hmmpress` must be run on that file to generate the required indices for `hmmsearch`. Your collaborator must also have the `ko_list.txt` file (which _should_ be downloaded with the profiles) in the right spot. Then they could pass their makeshift KEGG data directory to %(anvi-run-kegg-kofams)s using `--kegg-data-dir`, and they should be golden. (A word of warning: they may want to remove KOs without bitscore thresholds in the `ko_list.txt` before concatenating the profiles, otherwise they will likely get a lot of weak hits for these KOs.)
 
-### Set up from archived KEGG data
+## I already have a KEGG snapshot: set up from a pre-downloaded archive file
 
 If you have an archive (`.tar.gz`) of the KEGG data directory already on your computer (perhaps a colleague or Meren Lab developer gave you one), you can set up KEGG from this archive instead:
 
@@ -77,4 +135,4 @@ If you have an archive (`.tar.gz`) of the KEGG data directory already on your co
 anvi-setup-kegg-kofams --kegg-archive KEGG_archive.tar.gz
 {{ codestop }}
 
-This works the same way as the default, except that it bypasses the download step and instead uses the archive you have provided with `--kegg-archive`.
+This works the same way as the default, except that it bypasses the download step and instead uses the archive file you have provided with `--kegg-archive`.
diff --git a/anvio/docs/programs/anvi-setup-user-modules.md b/anvio/docs/programs/anvi-setup-user-modules.md
new file mode 100644
index 0000000000..0ed90c707f
--- /dev/null
+++ b/anvio/docs/programs/anvi-setup-user-modules.md
@@ -0,0 +1,85 @@
+This program creates a %(modules-db)s out of a set of user-defined metabolic modules, for use by %(anvi-estimate-metabolism)s.
+
+It takes as input a directory containing module files for each user-defined module, formatted in the same way as KEGG modules are. It parses these modules into the `USER_MODULES.db` database. This directory of user-defined data is referred to as %(user-modules-data)s, and the help page for that artifact contains a detailed account of how to create your own module definitions and estimate their completeness.
+
+This page will give a few details specific to running %(anvi-setup-user-modules)s.
+
+### Default Usage
+
+To run this program, you must provide an input directory containing your module definitions:
+
+{{ codestart }}
+anvi-setup-user-modules --user-modules /path/to/user/data/directory
+{{ codestop }}
+
+This input directory must have a specific format (see section below). The `USER_MODULES.db` will be generated in this directory, so you can use the same path to provide your data to %(anvi-estimate-metabolism)s when you want to estimate completeness for these modules.
+
+### Input directory format
+
+The directory you provide to the `--user-modules` parameter must have another folder inside of it, which must be called `modules`. Inside that `modules` folder, you should put text files containing the definitions of your metabolic modules - one file per module. The file should be named according to the identifier you want the module to have, and should not have any extension.
+
+Here is an example schematic of a proper input directory:
+```
+MY_METABOLISM_DATA_DIR
+  |
+  |- modules
+        |- U00001
+        |- U00002
+        |- U00003
+        |- U00004
+```
+The `U0000x` files in the schematic above each contains a definition for one module. Running `anvi-setup-user-modules --user-modules MY_METABOLISM_DATA_DIR` will produce a `USER_MODULES.db` file in the `MY_METABOLISM_DATA_DIR` folder which contains 4 modules named U00001, U00002, U00003, and U00004 (assuming those files are formatted correctly).
+
+### How do I format the module files?
+
+{:.notice}
+Check out %(anvi-script-gen-user-module-file)s for a way to automatically format your user module files.
+
+
+We use KEGG's system for describing metabolic modules, so you will need to format your metabolic pathways in the same way. Here is an example, for a module file called `U00002` (like in the schematic above):
+```
+ENTRY       U00002
+NAME        Nitrogen fixation (full Nif gene set)
+DEFINITION  K02588+K02586+K02591-K00531 K02587 K02592 K02585
+ORTHOLOGY   K02588  NifH
+            K02586  NifD
+            K02591  NifK
+            K00531  anfG
+            K02587  NifE
+            K02592  NifN
+            K02585  NifB
+CLASS       User modules; Energy metabolism; Nitrogen metabolism
+ANNOTATION_SOURCE  K02588  KOfam
+                    K02586  KOfam
+                    K02591  KOfam
+                    K00531  KOfam
+                    K02587  KOfam
+                    K02592  KOfam
+                    K02585  KOfam
+///
+```
+As you can see, there are different data types in the file, named by the all-capital word at the beginning of the line (we call this the 'data name'). The second column of the file is the value corresponding to that type of information ('data value'). Some data names, like ORTHOLOGY and ANNOTATION_SOURCE, also have a 3rd column further defining the data value (which we call the 'data definition'). Each field in the file should be separated by _at least two spaces_. And the file must end with '///' on the last line (don't ask us why).
+
+The data names you see in the example above are the minimum you should include to define the module. Here is a bit more information about each type of data:
+- ENTRY: this is the identifier for the module. It can be anything you want, but should be just one word (underscores and dashes allowed). It should also be the same as the name of the module file. Importantly, this identifier should not be the same as any KEGG module, or you will get an error during setup.
+- NAME: this is the name of the metabolic pathway, which can be any arbitrary string (spaces allowed)
+- DEFINITION: this is the set of enzymes required for the reactions in the metabolic pathway. The enzymes should be identified by their accession numbers in their respective annotation source - in the example above, these are all KOfams, so the enzyme accessions are KO numbers. However, you can use enzymes from any annotation source you like (COGs, Pfams, custom HMMs, etc), as long as you have a way to annotate them in your contigs database. The rules for defining a metabolic pathway in the KEGG fashion are described in the [technical details section](https://merenlab.org/software/anvio/help/main/programs/anvi-estimate-metabolism/#what-data-is-used-for-estimation) of the help page for %(anvi-estimate-metabolism)s, so please read through that section for help with designing your pathway definition.
+- ORTHOLOGY: this section maps the identifier for an enzyme (the second column, or data value) to the functional definition of that enzyme (the third column, or data definition). You need one of these lines for every enzyme in your module DEFINITION line.
+- CLASS: this line categorizes the module. It must be one string with three sections, separated by semi-colons. The first section is the 'class' of the module, the second section is the 'category' of the module, and the third section is the 'sub-category'. Feel free to use the existing KEGG categories to describe your pathway, or to make up something entirely new. Or, if you don't care about this categorization at all, you could just put random strings in each section (as long as you have two semi-colons in the string, you will be golden).
+- ANNOTATION_SOURCE: this section maps the identifier for an enzyme (the second column, or data value) to its annotation source (the third column, or data definition). You need one of these lines for every enzyme in your module DEFINITION line. The annotation source must match the functional annotation source in the contigs database that is associated with the enzyme's annotations. For instance, KOfams annotated with %(anvi-run-kegg-kofams)s have source 'KOfam' (as above), the 2020 COG source from %(anvi-run-ncbi-cogs)s is 'COG20_FUNCTION', the source for custom HMM profiles given to %(anvi-run-hmms)s is the `--hmm-source` directory name, and so on.
+
+You can also define other data names, if you want. Some common ones that can be found in KEGG modules are COMPOUND, REACTION, PATHWAY, COMMENT, REFERENCE, and AUTHORS; but you are not limited by the ones used by KEGG.
+
+Why must we format the module files this way, you ask? Well, to be honest, KEGG modules are formatted like this, and our infrastructure for working with that data has simply been adapted to work with arbitrary, user-defined data. KEGG makes the rules :)
+
+### Specifying KEGG data to be used for sanity checking
+
+If you haven't yet run %(anvi-setup-kegg-kofams)s on your computer, you will get an error when you try to run this program. This is because KEGG data is always used in addition to user-defined modules, and we need to be aware of which KEGG modules exist so we can make sure none of the user-defined modules have the same identifiers as these.
+
+By default, this program looks for the KEGG data in the default location, so if you have set up KEGG data in a non-default directory, you should specify the path to that directory using the `--kegg-data-dir` parameter:
+
+{{ codestart }}
+anvi-setup-user-modules --user-modules /path/to/user/data/directory --kegg-data-dir /path/to/KEGG/data/directory
+{{ codestop }}
+
+If you have multiple KEGG data directories on your computer, you should specify the one that you intend to use (along with this user-defined data) for %(anvi-estimate-metabolism)s downstream. It will not make a difference if all of your modules have identifiers unique from KEGG ones, but just in case they overlap, it is better to catch this during setup rather than later during metabolism estimation. :)
diff --git a/anvio/drivers/blast.py b/anvio/drivers/blast.py
index d406238d2c..25c8b49557 100644
--- a/anvio/drivers/blast.py
+++ b/anvio/drivers/blast.py
@@ -55,18 +55,17 @@ def __init__(self, query_fasta, target_fasta=None, search_program='blastp', run=
 
         self.search_program = search_program
         self.search_output_path = 'blast-search-results.txt'
+        self.log_file_path = 'blast-log.txt'
         self.max_target_seqs = None
 
         utils.is_program_exists('makeblastdb')
         utils.is_program_exists(self.search_program)
 
-        if not self.run.log_file_path:
-            self.run.log_file_path = 'blast-log-file.txt'
-
         # if names_dict is None, all fine. if not, the query_fasta is assumed to be uniqued, and names_dict is
         # the dictionary that connects the ids in the fasta file, to ids that were identical to it.
         self.names_dict = None
 
+        self.additional_params_for_blast = ""
 
     def get_blast_results(self):
         force_makedb, force_blast = False, False
@@ -95,7 +94,7 @@ def check_output(self, expected_output, process='blast'):
         if not len(glob.glob(expected_output)):
             self.progress.end()
             raise ConfigError("Pfft. Something probably went wrong with '%s' process since one of the expected output files are missing. "
-                              "Please check the log file here: '%s'" % (process, self.run.log_file_path))
+                              "Please check the log file here: '%s'" % (process, self.log_file_path))
 
 
     def makedb(self, output_db_path=None, dbtype='prot'):
@@ -111,7 +110,7 @@ def makedb(self, output_db_path=None, dbtype='prot'):
                     '-dbtype', dbtype,
                     '-out', output_db_path or self.target_fasta]
 
-        utils.run_command(cmd_line, self.run.log_file_path)
+        utils.run_command(cmd_line, self.log_file_path)
 
         self.progress.end()
 
@@ -126,8 +125,10 @@ def makedb(self, output_db_path=None, dbtype='prot'):
         self.run.info('BLAST search db', self.target_fasta)
 
 
-    def blast(self, outputfmt='6'):
+    def blast(self, outputfmt='6', word_size=None, strand=None):
         self.run.warning(None, header="NCBI BLAST SEARCH", lc="green")
+        self.run.info("Additional params for BLAST", self.additional_params_for_blast, mc='green')
+
         cmd_line = [self.search_program,
                     '-query', self.query_fasta,
                     '-db', self.target_fasta,
@@ -139,12 +140,21 @@ def blast(self, outputfmt='6'):
         if self.max_target_seqs:
             cmd_line += ['-max_target_seqs', self.max_target_seqs]
 
+        if word_size:
+            cmd_line += ['-word_size', word_size]
+
+        if strand:
+            cmd_line += ['-strand', strand]
+
+        if self.additional_params_for_blast:
+            cmd_line.extend(self.additional_params_for_blast.split())
+
         self.run.info('NCBI %s cmd' % self.search_program, ' '.join([str(p) for p in cmd_line]), quiet=(not anvio.DEBUG))
 
         self.progress.new('BLAST')
         self.progress.update('running search (using %s with %d thread(s)) ...' % (self.search_program, self.num_threads))
 
-        utils.run_command(cmd_line, self.run.log_file_path)
+        utils.run_command(cmd_line, self.log_file_path)
 
         self.progress.end()
 
@@ -158,6 +168,8 @@ def blast(self, outputfmt='6'):
 
     def blast_stdin(self, multisequence):
         self.run.warning(None, header="NCBI BLAST SEARCH STDIN", lc="green")
+        self.run.info("Additional params for BLAST", self.additional_params_for_blast, mc='green')
+
         cmd_line = [self.search_program,
                     '-db', self.target_fasta,
                     '-evalue', self.evalue,
@@ -170,12 +182,15 @@ def blast_stdin(self, multisequence):
         if self.min_pct_id:
             cmd_line += ['-perc_identity', self.min_pct_id]
 
+        if self.additional_params_for_blast:
+            cmd_line.extend(self.additional_params_for_blast.split())
+
         self.run.info('%s command line' % self.search_program, ' '.join([str(p) for p in cmd_line]), quiet=(not anvio.DEBUG))
 
         self.progress.new('BLAST')
         self.progress.update('running search (using %s with %d thread(s)) ...' % (self.search_program, self.num_threads))
 
-        output = utils.run_command_STDIN(cmd_line, self.run.log_file_path, multisequence, remove_log_file_if_exists=False)
+        output = utils.run_command_STDIN(cmd_line, self.log_file_path, multisequence, remove_log_file_if_exists=False)
 
         self.progress.end()
 
diff --git a/anvio/drivers/diamond.py b/anvio/drivers/diamond.py
index 1483f32b4f..b9a6d99526 100644
--- a/anvio/drivers/diamond.py
+++ b/anvio/drivers/diamond.py
@@ -54,7 +54,7 @@ def __init__(self, query_fasta=None, target_fasta=None, outfmt=None, run=run, pr
         if not self.run.log_file_path:
             self.run.log_file_path = 'diamond-log-file.txt'
 
-        self.sensitive = False
+        self.additional_params_for_blastp = ""
 
         # if names_dict is None, all fine. if not, the query_fasta is assumed to be uniqued, and names_dict is
         # the dictionary that connects the ids in the fasta file, to ids that were identical to it.
@@ -120,7 +120,7 @@ def makedb(self, output_file_path=None):
 
     def blastp(self):
         self.run.warning(None, header="DIAMOND BLASTP", lc="green")
-        self.run.info("Mode", "Sensitive" if self.sensitive else "Fast")
+        self.run.info("Additional params for blastp", self.additional_params_for_blastp, mc='green')
 
         cmd_line = ['diamond',
                     'blastp',
@@ -131,7 +131,8 @@ def blastp(self):
                     '-p', self.num_threads,
                     '--outfmt', *self.outfmt.split()]
 
-        cmd_line.append('--sensitive') if self.sensitive else None
+        if self.additional_params_for_blastp:
+            cmd_line.extend(self.additional_params_for_blastp.split())
 
         if self.max_target_seqs:
             cmd_line.extend(['--max-target-seqs', self.max_target_seqs])
@@ -156,6 +157,8 @@ def blastp(self):
 
     def blastp_stdout(self):
         self.run.warning(None, header="DIAMOND BLASTP STDOUT", lc="green")
+        self.run.info("Additional params for blastp", self.additional_params_for_blastp, mc='green')
+
         cmd_line = ['diamond',
                     'blastp',
                     '-q', self.query_fasta,
@@ -163,8 +166,6 @@ def blastp_stdout(self):
                     '-p', self.num_threads,
                     '--outfmt', *self.outfmt.split()]
 
-        cmd_line.append('--sensitive') if self.sensitive else None
-
         if self.max_target_seqs:
             cmd_line.extend(['--max-target-seqs', self.max_target_seqs])
 
@@ -174,6 +175,9 @@ def blastp_stdout(self):
         if self.evalue:
             cmd_line.extend(['--evalue', self.evalue])
 
+        if self.additional_params_for_blastp:
+            cmd_line.extend(self.additional_params_for_blastp.split())
+
         self.run.info('Command line', ' '.join([str(p) for p in cmd_line]), quiet=(not anvio.DEBUG))
 
 
@@ -190,7 +194,7 @@ def blastp_stdout(self):
 
     def blastp_stdin(self, sequence):
         self.run.warning(None, header="DIAMOND BLASTP STDIN", lc="green")
-        self.run.info('Mode', 'Sensitive' if self.sensitive else 'Fast')
+        self.run.info("Additional params for blastp", self.additional_params_for_blastp, mc='green')
 
         cmd_line = ['diamond',
                     'blastp',
@@ -198,8 +202,6 @@ def blastp_stdin(self, sequence):
                     '-p', self.num_threads,
                     '--outfmt', *self.outfmt.split()]
 
-        cmd_line.append('--sensitive') if self.sensitive else None
-
         if self.max_target_seqs:
             cmd_line.extend(['--max-target-seqs', self.max_target_seqs])
 
@@ -209,7 +211,8 @@ def blastp_stdin(self, sequence):
         if self.evalue:
             cmd_line.extend(['--evalue', self.evalue])
 
-
+        if self.additional_params_for_blastp:
+            cmd_line.extend(self.additional_params_for_blastp.split())
 
         self.run.info('DIAMOND blastp stdin cmd', ' '.join([str(p) for p in cmd_line]), quiet=(not anvio.DEBUG))
 
@@ -224,7 +227,7 @@ def blastp_stdin(self, sequence):
 
     def blastp_stdin_multi(self, multisequence):
         self.run.warning(None, header="DIAMOND BLASTP STDIN MULTI", lc="green")
-        self.run.info('Mode', 'Sensitive' if self.sensitive else 'Fast')
+        self.run.info("Additional params for blastp", self.additional_params_for_blastp, mc='green')
 
         cmd_line = ['diamond',
                     'blastp',
@@ -232,8 +235,6 @@ def blastp_stdin_multi(self, multisequence):
                     '-p', self.num_threads,
                     '--outfmt', *self.outfmt.split()]
 
-        cmd_line.append('--sensitive') if self.sensitive else None
-
         if self.max_target_seqs:
             cmd_line.extend(['--max-target-seqs', self.max_target_seqs])
 
@@ -243,6 +244,9 @@ def blastp_stdin_multi(self, multisequence):
         if self.evalue:
             cmd_line.extend(['--evalue', self.evalue])
 
+        if self.additional_params_for_blastp:
+            cmd_line.extend(self.additional_params_for_blastp.split())
+
         self.run.info('Command line', ' '.join([str(p) for p in cmd_line]), quiet=(not anvio.DEBUG))
 
         self.progress.new('DIAMOND')
@@ -261,7 +265,7 @@ def makedb_stdin(self, sequence, output_file_path=None):
         self.progress.new('DIAMOND')
         self.progress.update('creating the search database (using %d thread(s)) ...' % self.num_threads)
 
-        cmd_line = ['diamond',
+        cmd_line = ['diamond'
                     'makedb',
                     '-d', output_file_path or self.target_fasta,
                     '-p', self.num_threads]
diff --git a/anvio/drivers/hmmer.py b/anvio/drivers/hmmer.py
index e2cc27df10..c161da80b4 100644
--- a/anvio/drivers/hmmer.py
+++ b/anvio/drivers/hmmer.py
@@ -5,7 +5,14 @@
 import io
 import shutil
 import glob
-import multiprocessing
+
+# multiprocess is a fork of multiprocessing that uses the dill serializer instead of pickle
+# using the multiprocessing module directly results in a pickling error in Python 3.10 which
+# goes like this:
+#
+#   >>> AttributeError: Can't pickle local object 'SOMEFUNCTION.<locals>.<lambda>' multiprocessing
+#
+import multiprocess as multiprocessing
 
 import anvio
 import anvio.utils as utils
diff --git a/anvio/drivers/metabat2.py b/anvio/drivers/metabat2.py
index 550482586b..c05060e587 100644
--- a/anvio/drivers/metabat2.py
+++ b/anvio/drivers/metabat2.py
@@ -121,6 +121,7 @@ def cluster(self, input_files, args, work_dir, threads=1, log_file_path=None):
             '-o', bin_prefix,
             '--cvExt',
             '-l',
+            '-t', threads,
             *utils.serialize_args(args)]
 
 
diff --git a/anvio/drivers/vmatch.py b/anvio/drivers/vmatch.py
index 2f56d9724e..4cb8bc7526 100644
--- a/anvio/drivers/vmatch.py
+++ b/anvio/drivers/vmatch.py
@@ -6,7 +6,14 @@
 import queue
 import shutil
 import pandas as pd
-import multiprocessing as mp
+
+# multiprocess is a fork of multiprocessing that uses the dill serializer instead of pickle
+# using the multiprocessing module directly results in a pickling error in Python 3.10 which
+# goes like this:
+#
+#   >>> AttributeError: Can't pickle local object 'SOMEFUNCTION.<locals>.<lambda>' multiprocessing
+#
+import multiprocess as multiprocessing
 
 from collections import defaultdict
 
@@ -276,22 +283,22 @@ def search_queries(self, make_index=True):
         # Chunk output parsing can lag behind vmatch, so distribute parsing jobs to multiple
         # processes. At any time during the search, the allocated cores will either be running
         # vmatch or parsing output.
-        manager = mp.Manager()
+        manager = multiprocessing.Manager()
         input_queue = manager.Queue()
         output_queue = manager.Queue()
         # Rather than passing parsed DataFrames through a pipe for each chunk, append them to a full
         # output table file. Use a lock to prevent multiple processes from writing at once.
         full_output_path = os.path.join(self.temp_dir, 'parsed_output.tsv')
-        lock = mp.Lock()
-        parsing_processes = [mp.Process(target=parsing_worker,
-                                        args=(input_queue,
-                                              output_queue,
-                                              self.align_output_length,
-                                              self.match_mode,
-                                              full_output_path,
-                                              lock,
-                                              self.edit_left_buffer,
-                                              self.edit_right_buffer))
+        lock = multiprocessing.Lock()
+        parsing_processes = [multiprocessing.Process(target=parsing_worker,
+                                                     args=(input_queue,
+                                                           output_queue,
+                                                           self.align_output_length,
+                                                           self.match_mode,
+                                                           full_output_path,
+                                                           lock,
+                                                           self.edit_left_buffer,
+                                                           self.edit_right_buffer))
                              for _ in range(self.num_threads)]
         for p in parsing_processes:
             p.start()
diff --git a/anvio/filesnpaths.py b/anvio/filesnpaths.py
index e21b4259c6..93327207de 100644
--- a/anvio/filesnpaths.py
+++ b/anvio/filesnpaths.py
@@ -119,7 +119,7 @@ def is_proper_external_gene_calls_file(file_path):
                 call_type = int(fields[6])
             except ValueError:
                 raise FilesNPathsError("Values in the call_type column must be integers :/ Please see "
-                                       "http://merenlab.org/software/anvio/help/artifacts/external-gene-calls/")
+                                       "http://anvio.org/help/main/artifacts/external-gene-calls/")
 
             if call_type not in call_types_allowed:
                 raise FilesNPathsError("Each call type in an external gene calls file must have a value of either "
@@ -156,8 +156,18 @@ def is_output_file_writable(file_path, ok_if_exists=True):
     if os.path.exists(file_path) and not os.access(file_path, os.W_OK):
         raise FilesNPathsError(f"You do not have write access to the file at '{file_path}' :/")
     if os.path.exists(file_path) and not ok_if_exists:
-        raise FilesNPathsError(f"The output file '{file_path}' already exists. Generally speaking anvi'o tries to "
-                               f"avoid overwriting stuff.")
+        if anvio.FORCE_OVERWRITE:
+            try:
+                os.remove(file_path)
+            except Exception as e:
+                raise FilesNPathsError(f"As per your instructions, anvi'o was trying to delete the file at '{file_path}', "
+                                       f"yet it failed (typical anvi'o?). Here is the error message from another programmer "
+                                       f"in the matrix: {e}.")
+        else:
+            raise FilesNPathsError(f"The output file '{file_path}' already exists. Generally speaking anvi'o tries to "
+                                   f"avoid overwriting stuff. But you can always use the flag `--force-overwrite` "
+                                   f"to instruct anvi'o to delete the existing file first.")
+
     return True
 
 
@@ -184,7 +194,7 @@ def is_file_empty(file_path):
     return os.stat(file_path).st_size == 0
 
 
-def is_file_tab_delimited(file_path, separator='\t', expected_number_of_fields=None):
+def is_file_tab_delimited(file_path, separator='\t', expected_number_of_fields=None, dont_raise=False):
     is_file_exists(file_path)
     f = open(file_path, 'rU')
 
@@ -196,22 +206,37 @@ def is_file_tab_delimited(file_path, separator='\t', expected_number_of_fields=N
             else:
                 break
     except UnicodeDecodeError:
-        raise FilesNPathsError("The probability that `%s` is a tab-delimited file is zero." % file_path)
+        if dont_raise:
+            return False
+        else:
+            raise FilesNPathsError(f"The probability of the file at '{file_path}' to be a TAB-delimited file "
+                                   f"is zero (unless, of course the locale is not properly set for your shell).")
 
     if len(line.split(separator)) == 1 and expected_number_of_fields != 1:
-        raise FilesNPathsError("File '%s' does not seem to have TAB characters. "
-                               "Did you export this file on MAC using EXCEL? :(" % file_path)
+        if dont_raise:
+            return False
+        else:
+            raise FilesNPathsError(f"You (or some code on your behalf) asked anvi'o if the file at '{file_path}' "
+                                   f"was a TAB-delimited file. Anvi'o took the very first line in it that did not "
+                                   f"start with the character '#' (as in commented out lines), and found zero TAB "
+                                   f"in it. This is not how we make TAB-delimited files :(")
 
     f.seek(0)
     num_fields_set = set([len(line.split(separator)) for line in f.readlines()])
     if len(num_fields_set) != 1:
-        raise FilesNPathsError("Not all lines in the file '%s' have equal number of fields..." % file_path)
+        if dont_raise:
+            return False
+        else:
+            raise FilesNPathsError("Not all lines in the file '%s' have equal number of fields..." % file_path)
 
     if expected_number_of_fields:
         num_fields_in_file = list(num_fields_set)[0]
         if num_fields_in_file != expected_number_of_fields:
-            raise FilesNPathsError("The expected number of columns for '%s' is %d. Yet, it has %d "
-                                   "of them :/" % (file_path, expected_number_of_fields, num_fields_in_file))
+            if dont_raise:
+                return False
+            else:
+                raise FilesNPathsError("The expected number of columns for '%s' is %d. Yet, it has %d "
+                                       "of them :/" % (file_path, expected_number_of_fields, num_fields_in_file))
 
     f.close()
     return True
@@ -363,8 +388,19 @@ def check_output_directory(output_directory, ok_if_exists=False):
     output_directory = os.path.abspath(output_directory)
 
     if os.path.exists(output_directory) and not ok_if_exists:
-        raise FilesNPathsError(f"The output directory '{output_directory}' already exists (and anvi'o does not like "
-                               f"overwriting stuff (except when it does (typical anvi'o))).")
+        if anvio.FORCE_OVERWRITE:
+            try:
+                shutil.rmtree(output_directory)
+            except Exception as e:
+                raise FilesNPathsError(f"As per your instructions, anvi'o was trying to delete the directory at '{output_directory}', "
+                                       f"yet it failed (typical anvi'o?). Here is the error message from another programmer in "
+                                       f"the matrix: {e}.")
+        else:
+            raise FilesNPathsError(f"The output directory '{output_directory}' already exists (and anvi'o does not like "
+                                   f"overwriting stuff (except when it does (typical anvi'o))). But you can always use "
+                                   f"the flag `--force-overwrite` to assert your dominance. In which case anvi'o would "
+                                   f"first remove the existing output directory (a flag that deserves extreme caution "
+                                   f"for obvious reasons).")
 
     return output_directory
 
@@ -493,7 +529,7 @@ def append(self, data, **kwargs):
         if self.append_type and (not isinstance(data, self.append_type)):
             raise FilesNPathsError(f"A programmer promised to send data of type '{self.append_type}' to {self.path} for "
                                    f"appending, but instead sent data of type '{type(data)}'. Since the data type for this "
-                                   "file was explicitly declared and the actual data does not match this type, Anvi'o will "
+                                   "file was explicitly declared and the actual data does not match this type, anvi'o will "
                                    "put a stop to this whole operation.")
 
         if isinstance(data, dict):
@@ -501,6 +537,7 @@ def append(self, data, **kwargs):
             self.key_header = kwargs['key_header'] if 'key_header' in kwargs else None
             self.keys_order = kwargs['keys_order'] if 'keys_order' in kwargs else None
             self.header_item_conversion_dict = kwargs['header_item_conversion_dict'] if 'header_item_conversion_dict' in kwargs else None
+            self.do_not_write_key_column = kwargs['do_not_write_key_column'] if 'do_not_write_key_column' in kwargs else False
 
             self.append_dict_to_file(data, self.file_handle)
         elif isinstance(data, str):
@@ -526,13 +563,13 @@ def append_dict_to_file(self, dict_to_append, file_handle):
             Pointer to the file, opened in append mode. The calling function should take care of the
             open() and pass the handle here
         """
-
+        
         import anvio.utils as utils
         if is_file_empty(self.path):
             utils.store_dict_as_TAB_delimited_file(dict_to_append, None, headers=self.headers, file_obj=file_handle, \
                                                     key_header=self.key_header, keys_order=self.keys_order, \
                                                     header_item_conversion_dict=self.header_item_conversion_dict, \
-                                                    do_not_close_file_obj=True)
+                                                    do_not_close_file_obj=True, do_not_write_key_column=self.do_not_write_key_column)
         else:
             # if dictionary is empty, just return
             if not dict_to_append:
diff --git a/anvio/genomedescriptions.py b/anvio/genomedescriptions.py
index 55e372496d..8ee84b0dc8 100644
--- a/anvio/genomedescriptions.py
+++ b/anvio/genomedescriptions.py
@@ -1540,6 +1540,34 @@ def do_functional_enrichment_analysis(self):
                                                                                       progress=self.progress)
 
 
+    def report_functions_across_genomes(self, output_file_prefix, quiet=False):
+        """Reports text files for functions across genomes data"""
+
+        output_file_path_for_frequency_view = f"{os.path.abspath(output_file_prefix)}-FREQUENCY.txt"
+        output_file_path_for_presence_absence_view = f"{os.path.abspath(output_file_prefix)}-PRESENCE-ABSENCE.txt"
+
+        filesnpaths.is_output_file_writable(output_file_path_for_frequency_view)
+        filesnpaths.is_output_file_writable(output_file_path_for_presence_absence_view)
+
+        with open(output_file_path_for_frequency_view, 'w') as frequency_output, open(output_file_path_for_presence_absence_view, 'w') as presence_absence_output:
+            layer_names = sorted(list(self.layer_names_considered))
+            frequency_output.write('\t'.join(['key'] + layer_names + [self.function_annotation_source]) + '\n')
+            presence_absence_output.write('\t'.join(['key'] + layer_names + [self.function_annotation_source]) + '\n')
+
+            for key in self.functions_across_layers_frequency:
+                function = self.hash_to_function_dict[key][self.function_annotation_source]
+
+                frequency_data = [f"{self.functions_across_layers_frequency[key][l] if l in self.functions_across_layers_frequency[key] else 0}" for l in layer_names]
+                frequency_output.write('\t'.join([key] + frequency_data + [function]) + '\n')
+
+                presence_absence_data = [f"{self.functions_across_layers_presence_absence[key][l] if l in self.functions_across_layers_presence_absence[key] else 0}" for l in layer_names]
+                presence_absence_output.write('\t'.join([key] + presence_absence_data + [function]) + '\n')
+
+        if not quiet:
+            self.run.info('Functions across genomes (frequency)', output_file_path_for_frequency_view)
+            self.run.info('Functions across genomes (presence/absence)', output_file_path_for_presence_absence_view)
+
+
     def report_functions_per_group_stats(self, output_file_path, quiet=False):
         """A function to summarize functional occurrence for groups of genomes.
 
@@ -1559,6 +1587,10 @@ def report_functions_per_group_stats(self, output_file_path, quiet=False):
         group_counts = dict([(g, len(self.layer_groups[g])) for g in group_names])
 
         d = {}
+        num_skipped = 0 # keep track of how many functions we skip reporting on
+
+        key_hash_represents = "accession" if self.aggregate_based_on_accession else "function"
+        self.run.info(f"Number of {self.function_annotation_source} {key_hash_represents}s found across {len(group_names)} groups", len(self.functions_across_groups_presence_absence.keys()))
 
         for key_hash in self.functions_across_groups_presence_absence:
             # learn which groups are associated with this function
@@ -1566,6 +1598,7 @@ def report_functions_per_group_stats(self, output_file_path, quiet=False):
 
             # if the function is associated with all groups, simply skip that entry
             if len(associated_groups) == num_groups:
+                num_skipped += 1
                 continue
 
             function = self.hash_to_function_dict[key_hash][self.function_annotation_source]
@@ -1582,11 +1615,19 @@ def report_functions_per_group_stats(self, output_file_path, quiet=False):
                 else:
                     d[key_hash][f"p_{group_name}"] = 0
 
+        self.run.info(f"Number of {self.function_annotation_source} {key_hash_represents}s associated with all groups and SKIPPED", num_skipped)
+        self.run.info(f"Number of {self.function_annotation_source} {key_hash_represents}s in final occurrence table", len(d))
+
         if not len(d):
             raise ConfigError("Something weird is happening here :( It seems every single function across your genomes "
                               "is associated with all groups you have defined. There is nothing much anvi'o can work with "
                               "here. If you think this is a mistake, please let us know.")
 
+        if len(d) < 2:
+            raise ConfigError("Oh, dear. It seems only one function is differentially present across the genome "
+                              "groups you have defined. There is nothing much anvi'o can work with "
+                              "here. If you think this is a mistake, please let us know.")
+
         static_column_names = ['key', 'function', 'accession', 'associated_groups']
         dynamic_column_names = []
         [dynamic_column_names.extend([f'p_{g}', f'N_{g}']) for g in group_names]
diff --git a/anvio/genomesimilarity.py b/anvio/genomesimilarity.py
index ce5ca5305d..ddf6c09f67 100644
--- a/anvio/genomesimilarity.py
+++ b/anvio/genomesimilarity.py
@@ -416,7 +416,7 @@ def populate_genomes_info_dict(self):
         if self.representative_method == 'Qscore':
             missing_completion = False
             for genome in full_dict:
-                if not full_dict[genome].get('percent_completion') or not full_dict[genome].get('percent_redundancy'):
+                if 'percent_completion' not in full_dict[genome] or 'percent_redundancy' not in full_dict[genome]:
                     self.representative_method = 'centrality'
                     missing_completion = genome
 
@@ -534,55 +534,31 @@ def update_clusters(self, genome1, genome2):
         self.clusters[from_cluster] -= self.clusters[from_cluster]
 
 
-    def pick_best_of_two(self, one, two):
-        if not one and not two:
-            return None
-        elif not one and len(two) == 1:
-            return two[0]
-        elif not two and len(one) == 1:
-            return one[0]
-
-        best_one = self.pick_representative_with_largest_Qscore(one)
-        best_two = self.pick_representative_with_largest_Qscore(two)
-
-        if not best_one and best_two:
-            return best_two
-        elif not best_two and best_one:
-            return best_one
-
-        try:
-            score1 = self.genomes_info_dict[best_one]['percent_completion'] - self.genomes_info_dict[best_one]['percent_redundancy']
-        except:
-            raise ConfigError("At least one of your genomes does not contain completion or redundancy estimates. Here is an example: %s." % best_one)
-        try:
-            score2 = self.genomes_info_dict[best_two]['percent_completion'] - self.genomes_info_dict[best_two]['percent_redundancy']
-        except:
-            raise ConfigError("At least one of your genomes does not contain completion or redundancy estimates. Here is an example: %s." % best_two)
-
-        if score1 > score2:
-            return best_one
-        elif score2 > score1:
-            return best_two
-        else:
-            len1 = self.genomes_info_dict[best_one]['total_length']
-            len2 = self.genomes_info_dict[best_two]['total_length']
-
-            if len2 > len1:
-                return best_two
-            else:
-                return best_one
+    def pick_representative_with_largest_Qscore(self, cluster):
+        """This function will return the a genome in a cluster with highest substantive completion esitmate.
 
+        If there are multiple genomes with the same substantive completion estimate, then it will return the
+        longest one. If there are multiple that has the same substantive completion estimate AND length, then
+        it will return the first one.
+        """
 
-    def pick_representative_with_largest_Qscore(self, cluster):
         if not cluster:
             return None
-        elif len(cluster) == 1:
+
+        if len(cluster) == 1:
             return cluster[0]
 
-        medium = int(len(cluster) / 2)
-        best = self.pick_best_of_two(cluster[:medium], cluster[medium:])
+        # get all substantive completion and lenght values for genomes within the cluster
+        substantive_completion_and_length_values = [(g, self.genomes_info_dict[g]['percent_completion'] - self.genomes_info_dict[g]['percent_redundancy'], self.genomes_info_dict[g]['total_length']) for g in cluster]
+
+        # calculate the maximum substantive completion value found
+        max_substantive_completion = max([e[1] for e in substantive_completion_and_length_values])
+        
+        # get all the genomes with that exact completion value, sorted by their length (in case there are more than one genomes with identical completion estimates)
+        genomes_with_max_substantive_completion = sorted([e for e in substantive_completion_and_length_values if e[1] == max_substantive_completion], key=lambda x: x[2], reverse=True)
 
-        return best
+        # return the first one (which is supposed to be the longest one)
+        return genomes_with_max_substantive_completion[0][0]
 
 
     def pick_representative_with_largest_genome(self, cluster):
@@ -643,6 +619,7 @@ def __init__(self, args):
         self.pan_db = A('pan_db', null)
         self.output_dir_exists = A('output_dir_exists', null)
         self.just_do_it = A('just_do_it', null)
+        self.representative_method = A('representative_method', null)
 
         if (self.internal_genomes or self.external_genomes):
             self.genome_desc = genomedescriptions.GenomeDescriptions(args, run = terminal.Run(verbose=False))
@@ -767,8 +744,12 @@ def get_names(f):
 
     def get_fasta_sequences_dir(self):
         if self.genome_desc:
-            # init=False so that no complaint if there are no SCGs
-            self.genome_desc.load_genomes_descriptions(skip_functions=True, init=False)
+            if self.representative_method == "Qscore":
+                # if representative method is Qscrore, we need SCG information to be included
+                self.genome_desc.load_genomes_descriptions(skip_functions=True, init=True)
+            else:
+                # init=False so that no complaint if there are no SCGs
+                self.genome_desc.load_genomes_descriptions(skip_functions=True, init=False)
 
         self.temp_dir,\
         self.hash_to_name,\
diff --git a/anvio/interactive.py b/anvio/interactive.py
index a77517b8d4..342ace0b8a 100644
--- a/anvio/interactive.py
+++ b/anvio/interactive.py
@@ -367,10 +367,12 @@ def check_for_clusterings(self):
                                          "http://merenlab.org/2015/05/01/anvio-tutorial/#clustering-during-merging")
                     else:
                         self.run.warning("This single profile database does not seem to have any hierarchical clustering "
-                                         "that is required by the interactive interface. You must use `--cluster-contigs` "
-                                         "flag for single profiles if you would like to see a hierarchical clustering "
-                                         "dendrogram in the center of your display. Please read the help menu for "
-                                         "anvi-profile, and/or refer to the tutorial.")
+                                         "that is required by the interactive interface :/ Anvi'o does not automatically compute "
+                                         "a hierarchical clustering of contigs for single profiles, but you can ask for it "
+                                         "explicilty by passing the `--cluster-contigs` flag to the program `anvi-profile`. "
+                                         "This way you will be able to run `anvi-interactive` on your single profile, and see "
+                                         "a dendrogram at the center of your display. Please take a look at the help menu for "
+                                         "`anvi-profile`.")
 
 
     def gen_orders_for_items_based_on_additional_layers_data(self):
diff --git a/anvio/inversions.py b/anvio/inversions.py
new file mode 100644
index 0000000000..06d81ff2cf
--- /dev/null
+++ b/anvio/inversions.py
@@ -0,0 +1,1428 @@
+# -*- coding: utf-8
+# pylint: disable=line-too-long
+"""A module to characterize Florian's inversions"""
+
+import os
+import copy
+import argparse
+import numpy as np
+from collections import OrderedDict, Counter
+
+# multiprocess is a fork of multiprocessing that uses the dill serializer instead of pickle
+# using the multiprocessing module directly results in a pickling error in Python 3.10 which
+# goes like this:
+#
+#   >>> AttributeError: Can't pickle local object 'SOMEFUNCTION.<locals>.<lambda>' multiprocessing
+#
+import multiprocess as multiprocessing
+
+
+
+import anvio
+import anvio.tables as t
+import anvio.dbinfo as dbi
+import anvio.dbops as dbops
+import anvio.utils as utils
+import anvio.bamops as bamops
+import anvio.terminal as terminal
+import anvio.filesnpaths as filesnpaths
+import anvio.auxiliarydataops as auxiliarydataops
+
+from anvio.errors import ConfigError
+from anvio.sequencefeatures import Palindromes, PrimerSearch
+
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
+__credits__ = []
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__maintainer__ = "A. Murat Eren"
+__email__ = "a.murat.eren@gmail.com"
+__status__ = "Development"
+
+
+pp = terminal.pretty_print
+PL = terminal.pluralize
+run_quiet = terminal.Run(verbose=False)
+progress_quiet = terminal.Progress(verbose=False)
+
+
+class Inversions:
+    def __init__(self, args, skip_sanity_check=False, run=terminal.Run(), progress=terminal.Progress()):
+        self.args = args
+        self.run = run
+        self.progress = progress
+
+        # the primary data structure that will be filled by this
+        # class once everything is initialized and the user calls
+        # the member function `self.process`:
+        self.inversions = {}
+
+        # the purpose of this is to keep track of every stretch where
+        # REV/REV or FWD/FWD reads indicated some activity. this is
+        # regardless of whether we found a true inversion or not
+        self.stretches_considered = {}
+
+        # the purpose of this is to report all the consensus inversions
+        self.consensus_inversions = []
+
+        # in which we will store the genomic context that surrounds
+        # consensus inversions for downstream fun
+        self.genomic_context_surrounding_consensus_inversions = {}
+
+        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
+        self.bams_and_profiles_file_path = A('bams_and_profiles')
+        self.output_directory = A('output_dir') or 'INVERSIONS-OUTPUT'
+
+        if not self.bams_and_profiles_file_path:
+            raise ConfigError("Sorry, you can't get an instance of this class without a `--bams-and-profiles` argument.")
+
+        # get these filled in immediately
+        self.contigs_db_path, self.profile_db_bam_file_pairs = utils.get_bams_and_profiles_txt_as_data(self.bams_and_profiles_file_path)
+        self.profile_db_paths = [e['profile_db_path'] for e in self.profile_db_bam_file_pairs.values()]
+        self.raw_r1_r2_reads_are_present = all([('r1' in v) and ('r1' in v) for v in self.profile_db_bam_file_pairs.values()])
+
+        # params to identify regions of interest. if you are studying the code, don't forget to read
+        # the information stored in the help menu of the program about these parameters
+        self.min_coverage_to_define_stretches = A('min_coverage_to_define_stretches') or 10
+        self.min_stretch_length = A('min_stretch_length') or 50
+        self.min_distance_between_independent_stretches = A('min_distance_between_independent_stretches') or 2000
+        self.num_nts_to_pad_a_stretch = A('num_nts_to_pad-a_stretch') or 100
+
+        # palindrome search parameters
+        self.palindrome_search_algorithm = A('palindrome_search_algorithm')
+        self.min_palindrome_length = A('min_palindrome_length') or 10
+        self.max_num_mismatches = A('max_num_mismatches') or 0
+        self.min_distance_palindrome = A('min-distance') or 50
+        self.min_mismatch_distance_to_first_base = A('min_mismatch_distance_to_first_base') or 1
+
+        # parameters to survey inversions
+        self.process_only_inverted_reads = A('process_only_inverted_reads')
+        self.check_all_palindromes = A('check_all_palindromes')
+
+        # the purpose of this variable is to determine how much of the palindrome for a
+        # given inversion should be used to build a primer to search for short reads. the
+        # longer it is, the more specific the primers will be when surveying ALL FASTQ READS
+        # in a (meta)genome sequencing dataset. but if it is too long, then there will
+        # not be enough reads to keep depending on the minimum short read length of the
+        # sequencing.
+        self.oligo_primer_base_length = A('oligo_primer_base_length') or 12
+
+        # this variable tells us how long is the oligonucleotide we should be focusing on
+        # to measure proportions of activity
+        self.oligo_length = 6
+
+        # compute inversion activity across samples?
+        self.skip_compute_inversion_activity = A('skip_compute_inversion_activity') or False
+
+        # stop inversion activity computation early for testing?
+        self.end_primer_search_after_x_hits = A('end_primer_search_after_x_hits')
+
+        # skip learning about the genomic context that surrounds inversions?
+        self.skip_recovering_genomic_context = A('skip_recovering_genomic_context')
+        self.gene_caller_to_consider_in_context = A('gene_caller') or 'prodigal'
+        self.num_genes_to_consider_in_context = A('num_genes_to_consider_in_context') or 3
+
+        # be talkative or not
+        self.verbose = A('verbose')
+
+        # performance
+        self.num_threads = int(A('num_threads')) if A('num_threads') else 1
+
+        # focus mode:
+        self.target_contig = A('target_contig')
+        self.target_region_start = A('target_region_start')
+        self.target_region_end = A('target_region_end')
+
+        if self.target_contig:
+            self.verbose = True
+
+        if not skip_sanity_check:
+            self.sanity_check()
+
+        # we will generate our splits info, contigs to splits dicts, and check a few things to learn more about the
+        # contigs db.
+        split_names = utils.get_all_item_names_from_the_database(self.profile_db_paths[0])
+        contigs_db = dbops.ContigsDatabase(self.contigs_db_path, run=run_quiet, progress=progress_quiet)
+        self.splits_basic_info = contigs_db.db.smart_get(t.splits_info_table_name, column='split', data=split_names)
+        self.contig_sequences = contigs_db.db.get_table_as_dict(t.contig_sequences_table_name)
+        self.genes_are_called_in_contigs_db = contigs_db.meta['genes_are_called']
+        self.genes_annotated_with_functions_in_contigs_db = contigs_db.meta['gene_function_sources'] is not None and len(contigs_db.meta['gene_function_sources']) > 0
+        contigs_db.disconnect()
+
+        # next, we will generate a dictionary to convert contig names to split names
+        self.contig_name_to_split_names = {}
+        for split_name in sorted(self.splits_basic_info.keys()):
+            contig_name = self.splits_basic_info[split_name]['parent']
+
+            if contig_name not in self.contig_name_to_split_names:
+                self.contig_name_to_split_names[contig_name] = []
+
+            self.contig_name_to_split_names[contig_name].append(split_name)
+
+        # let's have a variable of convenience:
+        self.contig_names = sorted(list(self.contig_name_to_split_names.keys()))
+
+        if self.target_contig:
+            if self.target_contig not in self.contig_names:
+                raise ConfigError(f"You asked anvi'o to focus on a single contig, named {self.target_contig}, "
+                                  f"but there doesn't seem to be a contig in this database with that name :/")
+            else:
+                self.contig_names = [self.target_contig]
+
+
+    def process_db(self, entry_name, profile_db_path, bam_file_path):
+        """Function that does everything.
+
+        `entry_name` is the entry name in bams and profiles file.
+
+        Once this function is done, it will populate the `self.inversions` dictionary
+        with all the inversions.
+        """
+
+        self.progress.new(f"Processing '{entry_name}'")
+
+        self.inversions[entry_name] = []
+
+        ################################################################################
+        self.progress.update("Recovering the coverage data")
+        ################################################################################
+
+        profile_db = dbops.ProfileSuperclass(argparse.Namespace(profile_db=profile_db_path, contigs_db=self.contigs_db_path), r=run_quiet, p=progress_quiet)
+        auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(profile_db.auxiliary_data_path, profile_db.p_meta['contigs_db_hash'])
+        sample_id = profile_db.p_meta['sample_id']
+
+        # here we open our bam file with an inversions fetch filter.
+        # we will access to it later when it is time to get the FWD/FWD and
+        # REV/REV reads.
+        bam_file = bamops.BAMFileObject(bam_file_path, 'rb')
+
+        ################################################################################
+        self.progress.update("Computing coverage stretches")
+        ################################################################################
+        # populate coverage stretches in contigs based on coverage data in this
+        # particular profile_db. we will then go through each stretch to find
+        # those that include palindromic sequences
+        contig_coverages = {}
+        coverage_stretches_in_contigs = {}
+        for contig_name in self.contig_names:
+            contig_coverage = np.array([])
+
+            split_names = self.contig_name_to_split_names[contig_name]
+
+            for i in range(len(split_names)):
+                split_name = split_names[i]
+                split_coverages = auxiliary_db.get(split_name)
+                contig_coverage = np.concatenate((contig_coverage, split_coverages[sample_id]), axis=None)
+
+            # if the user is asking us to focus only a particular stretch in the contig
+            # we are going to grant their wish by setting the values in `contig_coverage`
+            # to zero that are outside of those regions
+            if self.target_region_start or self.target_region_end:
+                if self.target_region_start:
+                    contig_coverage[0:self.target_region_start] = 0.0
+                if self.target_region_end:
+                    contig_coverage[self.target_region_end:] = 0.0
+
+            # now we know the `contig_coverage`. it is time to break it into stretches
+            # of 'high coverage' regions (as in coverage > `self.min_coverage_to_define_stretches`), and store that
+            # information into the dictionary `coverage_stretches_in_contigs`
+            coverage_stretches_in_contigs[contig_name] = []
+
+            # we also know the contig length here, so let's keep that in mind:
+            contig_length = len(contig_coverage)
+
+            # to find regions of high coverage, we first need to 'pad' our array to ensure it always
+            # starts and ends with 'low coverage'.
+            regions_of_contig_covered_enough = np.hstack([[False], contig_coverage >= self.min_coverage_to_define_stretches, [False]])
+
+            regions_of_contig_covered_enough_diff = np.diff(regions_of_contig_covered_enough.astype(int))
+            cov_stretch_start_positions = np.where(regions_of_contig_covered_enough_diff == 1)[0]
+            cov_stretch_end_positions = np.where(regions_of_contig_covered_enough_diff == -1)[0]
+
+            # at this stage, `cov_stretch_start_positions` and `cov_stretch_end_positions` contain pairs of
+            # positions that match to the begining and end of stretches. we will remove those that are too
+            # short to be considered, and store the start/end positions for the remaining stretches of
+            # high coverage into the dictionary `coverage_stretches_in_contigs`
+            for i in range(0, len(cov_stretch_start_positions)):
+                cov_stretch_start, cov_stretch_end = cov_stretch_start_positions[i], cov_stretch_end_positions[i]
+
+                if (cov_stretch_end - cov_stretch_start) >= self.min_stretch_length:
+                    coverage_stretches_in_contigs[contig_name].append((cov_stretch_start, cov_stretch_end),)
+
+            # now it is time to merge those stretches of coverage if they are close to one another to avoid
+            # over-splitting areas of coverage due to short regions with low-coverage in the middle like this,
+            # where we wish to identify A and B together in a single stretch:
+            #
+            #                A         B
+            #
+            #                -         -
+            #               ---        --
+            #              -----      -----
+            #             --------   --------
+            #           -----------------------
+            # -----------------------------------------------
+            coverage_stretches_in_contigs[contig_name] = utils.merge_stretches(coverage_stretches_in_contigs[contig_name],
+                                                                               min_distance_between_independent_stretches=self.min_distance_between_independent_stretches)
+            # extend start and stop positions of merged stretches to ENSURE we are not
+            # missing important information because bioinformatics.
+            coverage_stretches_in_contigs[contig_name] = [(0 if (e[0] - self.num_nts_to_pad_a_stretch< 0) else e[0] - self.num_nts_to_pad_a_stretch,
+                                                           contig_length if (e[1] + self.num_nts_to_pad_a_stretch) > contig_length else e[1] + self.num_nts_to_pad_a_stretch) \
+                                                                for e in coverage_stretches_in_contigs[contig_name]]
+
+            contig_coverages[contig_name] = contig_coverage
+
+        ################################################################################
+        self.progress.update("Getting ready to process stretches")
+        ################################################################################
+        # time to go through each stretch and look for palindromes
+        # first, we will set up the Palindromes class
+        _args = argparse.Namespace(min_palindrome_length=self.min_palindrome_length,
+                                   max_num_mismatches=self.max_num_mismatches,
+                                   min_distance=self.min_distance_palindrome,
+                                   palindrome_search_algorithm=self.palindrome_search_algorithm,
+                                   min_mismatch_distance_to_first_base=self.min_mismatch_distance_to_first_base)
+
+        P = Palindromes(_args,
+                        run=run_quiet,
+                        progress=progress_quiet)
+        P.verbose = False
+
+        # now we can go through all the stretches to look for palindromes. this is a LOOOOOONG loop.
+        # down below, we will got through each contig name, find stretches of good coverage of FWD/FWD
+        # and REV/REV reads (since their coverage values are stored in the profile db of 'inversions'
+        # type), find palindromes in those sequences that match to those coverage stretches, build some
+        # constructs, and then go through every FWD/FWD and REV/REV read from the BAM file to see if
+        # our constructs occur in any of them, which is the only 100% proof of an active inversion.
+        for contig_name in coverage_stretches_in_contigs:
+            contig_sequence = self.contig_sequences[contig_name]['sequence']
+            for start, stop in coverage_stretches_in_contigs[contig_name]:
+                stretch_sequence_coverage = contig_coverages[contig_name][start:stop]
+                stretch_sequence = contig_sequence[start:stop]
+                sequence_name = f"{contig_name}_{start}_{stop}"
+
+                # before we go any further, let's print out the sequence in consideration
+                # for the user if they used `--verbose`
+                if anvio.DEBUG or self.verbose:
+                    self.progress.reset()
+                    self.run.warning(None, header=f"Palindromes in {sequence_name}", lc='yellow', nl_before=3)
+                    self.run.info_single(f"Sequence {stretch_sequence}", cut_after=0)
+                    self.run.info_single(f"Coverage in {sample_id}:", nl_before=1, nl_after=1)
+                    self.plot_coverage(f"{sequence_name}", stretch_sequence_coverage)
+
+                # make a record of the stretch that is about to be considered for having
+                # palindromes and later true inversions
+                self.stretches_considered[f"{entry_name}_{sequence_name}"] = {'sequence_name': sequence_name,
+                                                                              'sample_name': entry_name,
+                                                                              'contig_name': contig_name,
+                                                                              'start_stop': f"{start}-{stop}",
+                                                                              'max_coverage': int(max(stretch_sequence_coverage)),
+                                                                              'num_palindromes_found': 0,
+                                                                              'true_inversions_found': False}
+
+                ################################################################################
+                self.progress.update(f"{contig_name}: looking for palindromes")
+                ################################################################################
+                P.find(stretch_sequence, sequence_name=sequence_name, display_palindromes=False)
+
+                if not len(P.palindromes[sequence_name]):
+                    # there is no palindrome in this one
+                    if anvio.DEBUG or self.verbose:
+                        self.progress.reset()
+                        self.run.info_single("No palindromes in this one :/", mc="red")
+                    continue
+                else:
+                    num_palindromes_found = len(P.palindromes[sequence_name])
+                    self.stretches_considered[f"{entry_name}_{sequence_name}"]['num_palindromes_found'] = num_palindromes_found
+
+                    if anvio.DEBUG or self.verbose:
+                        self.progress.reset()
+                        self.run.info_single(f"The sequence has {PL('palindrome', num_palindromes_found)}:", mc="green")
+
+                ################################################################################
+                self.progress.update(f"{contig_name}: building constructs")
+                ################################################################################
+                # this is important. here we are getting ready to test each our inversion candidate
+                # by reconstructing Florian's imaginary sequences. in the next step we will see if
+                # any of these sequences are in any of the FWD/FWD or REV/REV reads
+                inversion_candidates = []
+                for inversion_candidate in P.palindromes[sequence_name]:
+                    region_A_start = inversion_candidate.first_start - 6
+                    region_A_end = inversion_candidate.first_start
+                    region_A = stretch_sequence[region_A_start:region_A_end]
+
+                    region_B_start = inversion_candidate.first_end
+                    region_B_end = inversion_candidate.first_end + 6
+                    region_B = stretch_sequence[region_B_start:region_B_end]
+
+                    region_C_start = inversion_candidate.second_start - 6
+                    region_C_end = inversion_candidate.second_start
+                    region_C = stretch_sequence[region_C_start:region_C_end]
+
+                    region_D_start = inversion_candidate.second_end
+                    region_D_end = inversion_candidate.second_end + 6
+                    region_D = stretch_sequence[region_D_start:region_D_end]
+
+                    construct_v1_left = region_A + inversion_candidate.first_sequence + utils.rev_comp(region_C)
+                    construct_v1_right = utils.rev_comp(region_B) + utils.rev_comp(inversion_candidate.second_sequence) + region_D
+
+                    construct_v2_left = region_A + inversion_candidate.second_sequence + utils.rev_comp(region_C)
+                    construct_v2_right = utils.rev_comp(region_B) + utils.rev_comp(inversion_candidate.first_sequence) + region_D
+
+                    # update the palindrome instance with its constructs
+                    inversion_candidate.v1_left = construct_v1_left
+                    inversion_candidate.v1_right = construct_v1_right
+                    inversion_candidate.v2_left = construct_v2_left
+                    inversion_candidate.v2_right = construct_v2_right
+
+                    if (anvio.DEBUG or self.verbose) and not anvio.QUIET:
+                        self.progress.reset()
+                        inversion_candidate.display()
+                        self.run.info("Construct v1 left", construct_v1_left, mc="cyan")
+                        self.run.info("Construct v1 right", construct_v1_right, mc="cyan")
+                        self.run.info("Construct v2 left", construct_v2_left, mc="cyan")
+                        self.run.info("Construct v2 right", construct_v2_right, mc="cyan")
+
+                    inversion_candidates.append(inversion_candidate)
+
+                # here we have, for a given `contig_name`, `start` and `stop` positions of a stretch in it,
+                # we have our inversion candidates,
+                ################################################################################
+                self.progress.update(f"{contig_name}[{start}:{stop}]: true inv testing w/constructs")
+                ################################################################################
+                true_inversions = self.get_true_inversions_in_stretch(inversion_candidates, bam_file, contig_name, start, stop)
+
+                if (anvio.DEBUG or self.verbose) and not anvio.QUIET:
+                    if true_inversions:
+                        self.progress.reset()
+                        self.run.info_single(f"Of the {PL('inversion candidate', len(inversion_candidates))} above, "
+                                             f"anvi'o found the following inversion(s) to have at least one perfect match "
+                                             f"to their constructs in the BAM file:", mc="green", nl_before=1)
+
+                        for true_inversion in true_inversions:
+                            true_inversion.display()
+                    else:
+                        self.progress.reset()
+                        self.run.info_single(f"No true inversions in this one: none of the REV/REV or FWD/FWD reads "
+                                             f"had any of the constructs in {PL('inversion candidate', len(inversion_candidates))}.",
+                                             mc="red", nl_before=1)
+
+                # if there are no true inversions, go back.
+                if not len(true_inversions):
+                    continue
+
+                # here we have, for a given `contig_name`, `start` and `stop` positions of a stretch in it,
+                # and one or more ture inversions. the next step will require us to count them in the original
+                # FASTQ files to see their ratio across samples, but for that we need primers to get oligos
+                ################################################################################
+                self.progress.update(f"{contig_name}[{start}:{stop}]: oligo determination")
+                ################################################################################
+                self.update_inversions_with_primer_sequences(true_inversions, contig_sequence, start)
+
+
+                # if we are here, it means we took care of one region.
+                # it is time to update our global data dictionaries with
+                # everything we know about this inversion, and the stretch
+                # it belongs:
+                if len(true_inversions):
+                    for inv in true_inversions:
+                        self.stretches_considered[f"{entry_name}_{sequence_name}"]['invs_found'] = True
+
+                        d = OrderedDict({'entry_id': inv.sequence_name,
+                                         'sample_name': entry_name,
+                                         'contig_name': contig_name,
+                                         'first_seq': inv.first_sequence,
+                                         'midline': inv.midline,
+                                         'second_seq': utils.rev_comp(inv.second_sequence),
+                                         'first_start': inv.first_start + start,
+                                         'first_end': inv.first_end + start,
+                                         'first_oligo_primer': inv.first_oligo_primer,
+                                         'first_oligo_reference': inv.first_oligo_reference,
+                                         'second_start': inv.second_start + start,
+                                         'second_end': inv.second_end + start,
+                                         'second_oligo_primer': inv.second_oligo_primer,
+                                         'second_oligo_reference': inv.second_oligo_reference,
+                                         'num_mismatches': inv.num_mismatches,
+                                         'num_gaps': inv.num_gaps,
+                                         'length': inv.length,
+                                         'distance': inv.distance})
+
+                        self.inversions[entry_name].append(d)
+
+        self.progress.end()
+
+        self.run.info(f"[Inversions found] In sample {entry_name}", f"{len(self.inversions[entry_name])}", lc="yellow")
+
+
+    def update_inversions_with_primer_sequences(self, inversions, contig_sequence, start):
+        """Takes a set of true inversions and updates them with oligo primers.
+
+        What happens here is this. For true inversions, we want to go back to original
+        raw reads (not only mapped reads) and find out the proportion of the inversion
+        states for each true inversion across all samples. For this, we need a primer
+        that guides our search through short reads.
+
+        Parameters
+        ==========
+        inversions : list
+            List of inversion objects.
+        contig_sequence : str
+            The contig sequence in which the inversion is found.
+        start : int
+            The start position of the coverage stretch in which the inversion is found.
+            This value is important to normalize relative start stop positions to the
+            contig sequence so upstream and downstream genomic context can be recovered.
+
+        Returns
+        =======
+        None
+            But it updates the inversion data structure with `first_oligo_primer` and `second_oligo_primer`.
+        """
+
+        for inv in inversions:
+            # we will first identify upstream and downstream genomic regions that are before the first palindrome
+            # in the inversion and after the second palindrome in the inversion
+            first_genomic_region_start = inv.first_start + start - self.oligo_primer_base_length
+            first_genomic_region_end = inv.first_start + start
+            first_genomic_region = contig_sequence[first_genomic_region_start:first_genomic_region_end]
+
+            second_genomic_region_start = inv.second_end + start
+            second_genomic_region_end = inv.second_end + start + self.oligo_primer_base_length + 1
+            second_genomic_region = contig_sequence[second_genomic_region_start:second_genomic_region_end]
+
+            # then, we will replace nucleotides found on the contig with `.` character where
+            # there are mismatches in the palindrome sequence
+            first_with_mismatches = ''.join(['.' if inv.midline[i] == 'x' else inv.first_sequence[i] for i in range(0, inv.length)])
+            second_with_mismatches = ''.join(['.' if inv.midline[i] == 'x' else inv.second_sequence[i] for i in range(0, inv.length)])
+
+            # here we first update the inversion object with primers
+            inv.first_oligo_primer = first_genomic_region + first_with_mismatches
+            inv.second_oligo_primer = utils.rev_comp(second_genomic_region) + second_with_mismatches
+
+            # and finally we update the inversion object with reference oligos
+            # found in the original contig
+            inv.first_oligo_reference = contig_sequence[first_genomic_region_end + inv.length:first_genomic_region_end + inv.length + self.oligo_length]
+            inv.second_oligo_reference = utils.rev_comp(contig_sequence[second_genomic_region_start - inv.length - self.oligo_length:second_genomic_region_start - inv.length])
+
+        return
+
+
+    def test_inversion_candidates_using_short_reads(self, inversion_candidates, reads):
+        """Takes a set of inversion candidates and short reads to look for true inversions"""
+
+        true_inversions = []
+
+        total_num_inversions = len(inversion_candidates)
+        current_inversion = 0
+        for inversion_candidate in inversion_candidates:
+            current_inversion += 1
+            num_reads_considered = 0
+            match = False
+            evidence = ''
+
+            # we are going to be using these to variables to ensure both left and right
+            # construct are supported by short reads
+            evidence_right = None
+            evidence_left = None
+
+            if inversion_candidate.num_mismatches == 0:
+                # Here we take advantage of construct symmetry. If the inversion candidate has no
+                # mismatches, we only needs to test for the v1 constructs.
+                for read in reads:
+                    num_reads_considered += 1
+                    if not evidence_left:
+                        if inversion_candidate.v1_left in read:
+                            evidence += 'v1_left and '
+                            evidence_left = True
+
+                            if evidence_right:
+                                match = True
+                                evidence_right = False
+                                evidence_left = False
+                                break
+                    elif not evidence_right:
+                        if inversion_candidate.v1_right in read:
+                            evidence += 'v1_right'
+                            evidence_right = True
+
+                            if evidence_left:
+                                match = True
+                                evidence_right = False
+                                evidence_left = False
+                                break
+            else:
+                # Unfortunately, the inversion candidate has some mismatches, which requires testing
+                # for v1 _and_ v2 constructs.
+                for read in reads:
+                    num_reads_considered += 1
+                    if not evidence_left:
+                        if inversion_candidate.v1_left in read:
+                            evidence += 'v1_left and '
+                            evidence_left = True
+
+                            if evidence_right:
+                                match = True
+                                evidence_right = False
+                                evidence_left = False
+                                break
+                        elif inversion_candidate.v2_left in read:
+                            evidence += 'v2_left and'
+                            evidence_left = True
+
+                            if evidence_right:
+                                match = True
+                                evidence_right = False
+                                evidence_left = False
+                                break
+                    if not evidence_right:
+                        if inversion_candidate.v1_right in read:
+                            evidence += 'v1_right'
+                            evidence_right = True
+
+                            if evidence_left:
+                                match = True
+                                evidence_right = False
+                                evidence_left = False
+                                break
+                        elif inversion_candidate.v2_right in read:
+                            evidence += 'v2_right'
+                            evidence_right = True
+
+                            if evidence_left:
+                                match = True
+                                evidence_right = False
+                                evidence_left = False
+                                break
+
+            if match:
+                # we found an inversion candidate that has at least one confirmed
+                # construct. We add this one into the list of true inversions:
+                true_inversions.append(inversion_candidate)
+
+                if anvio.DEBUG or self.verbose:
+                    self.progress.reset()
+                    self.run.info_single(f"👍 Candidate {current_inversion} of {total_num_inversions}: confirmed by {evidence} "
+                                         f"after {num_reads_considered} reads.", mc="yellow", level=2)
+
+                if not self.check_all_palindromes:
+                    # if the user is not interested in testing of every single palindrome
+                    # found in the stretch of interest to see whether there may be more
+                    # inversion candidates, we return the current list which includes only
+                    # one confirmed inversion
+                    return true_inversions
+            else:
+                if anvio.DEBUG or self.verbose:
+                    self.progress.reset()
+                    self.run.info_single(f"👎 Candidate {current_inversion} of {total_num_inversions}: no confirmation "
+                                         f"after processing {num_reads_considered} reads.", mc="red", level=2)
+
+        return true_inversions
+
+
+    def get_true_inversions_in_stretch(self, inversion_candidates, bam_file, contig_name, start, stop):
+        """Survey a bunch of palindromes with 'constructs' to find true/active inversions.
+
+        A true inversion is one with evidence from short reads that it has activity.
+        """
+
+        # here we will do something sneaky. if the user wants us to test inversions only using inverted reads,
+        # we will abide and move on. as inverted reads will be a fraction of all reads that cover a given
+        # region in the BAM file, it is not as costly as going through all of the regular reads. that said,
+        # inverted reads will often miss active inversions, and going through the costly route of using all
+        # reads will be necessary to be sure. the following if/else block covers that with the consideration
+        # of one more key parameter: `self.check_all_palindromes`. the code is intentionally redundant below
+        # to ensure maximum readability and to make it easier to follow this relatively complex logic.
+        if self.process_only_inverted_reads:
+            # if we are here, we will only use the inverted reads and move on. this is the simple case.
+            bam_file.fetch_filter = 'inversions'
+            reads = [r.query_sequence for r in bam_file.fetch_only(contig_name, start=start, end=stop)]
+
+            if anvio.DEBUG or self.verbose:
+                self.progress.reset()
+                self.run.info_single(f"Testing {len(inversion_candidates)} palindromes with {len(reads)} REV/REV and FWD/FWD reads to find "
+                                     f"true inversions:", mc="green", nl_before=1, nl_after=1)
+
+            true_inversions_in_stretch = self.test_inversion_candidates_using_short_reads(inversion_candidates, reads)
+        else:
+            # if we are here, we want to use the inverted reads first, and if we find nothing, we want to
+            # try all reads. BUT THERE IS ONE MORE CONSIDERATION: if we have multiple palindromes, and if
+            # the user asked for `self.check_all_palindromes`, it means we may have a match to one of them
+            # in inverted reads, but even if we could have found more if we were to use all reads, we would
+            # not be checking them since `if not len(true_inversions_in_stretch)` would no longer be True.
+            # Which means, if the user is asking for `self.check_all_palindromes`, we can't do the sneaky
+            # thing we wished to do and must work with all reads from the get go :/ first, we will take
+            # care of the default case where the user did not ask to check all palindromes:
+            if not self.check_all_palindromes:
+                bam_file.fetch_filter = 'inversions'
+                reads = [r.query_sequence for r in bam_file.fetch_only(contig_name, start=start, end=stop)]
+                if anvio.DEBUG or self.verbose:
+                    self.progress.reset()
+                    self.run.info_single(f"Testing {len(inversion_candidates)} palindromes with {len(reads)} REV/REV and FWD/FWD reads to find "
+                                         f"true inversions:", mc="green", nl_before=1, nl_after=1)
+
+                true_inversions_in_stretch = self.test_inversion_candidates_using_short_reads(inversion_candidates, reads)
+
+                if not len(true_inversions_in_stretch):
+                    # if we are here, it means inverted reads did not match any of the constructs, and next
+                    # we will try all reads.
+                    bam_file.fetch_filter = None
+                    reads = [r.query_sequence for r in bam_file.fetch_only(contig_name, start=start, end=stop)]
+
+                    if anvio.DEBUG or self.verbose:
+                        self.progress.reset()
+                        self.run.info_single(f"REV/REV and FWD/FWD reads didn't work :( Now testing the same {len(inversion_candidates)} palindromes "
+                                             f"with {len(reads)} regular reads to look for true inversions:", mc="green", nl_before=1, nl_after=1)
+
+                    true_inversions_in_stretch = self.test_inversion_candidates_using_short_reads(inversion_candidates, reads)
+            else:
+                # so the user wants us to test test all palindromes. this is the case where we shouldn't use
+                # inverted reads to speed things up when possible, and simply use all reads.
+                bam_file.fetch_filter = None
+                reads = [r.query_sequence for r in bam_file.fetch_only(contig_name, start=start, end=stop)]
+
+                if anvio.DEBUG or self.verbose:
+                    self.progress.reset()
+                    self.run.info_single(f"Testing {len(inversion_candidates)} palindromes with {len(reads)} regular reads to find "
+                                         f"true inversions:", mc="green", nl_before=1, nl_after=1)
+
+                true_inversions_in_stretch = self.test_inversion_candidates_using_short_reads(inversion_candidates, reads)
+
+        return true_inversions_in_stretch
+
+
+
+    def recover_genomic_context_surrounding_inversions(self):
+        """Learn about what surrounds the consensus inversion sites"""
+
+        # we are not wanted
+        if self.skip_recovering_genomic_context:
+            return
+
+        contigs_db = dbops.ContigsDatabase(self.contigs_db_path, run=run_quiet, progress=progress_quiet)
+
+        # are there genes?
+        if not contigs_db.meta['genes_are_called']:
+            self.run.warning("There are no gene calls in your contigs database, therefore there is context to "
+                             "learn about :/ Your reports will not include a file to study the genomic context "
+                             "that surrounds consensus inversions.")
+
+            contigs_db.disconnect()
+
+            return
+
+        # are there functions?
+        function_sources_found = contigs_db.meta['gene_function_sources'] or []
+        if not len(function_sources_found):
+            self.run.warning("There are no functions for genes in your contigs database :/ Your reports on the "
+                             "genomic context that surrounds consensus inversions will not have any functions "
+                             "for gnes. PITY.")
+
+
+        self.progress.new('Recovering genomic context surrounding inversions', progress_total_items=len(self.consensus_inversions))
+        self.progress.update('...')
+
+        # now we will go through each consensus inversion to populate `self.genomic_context_surrounding_consensus_inversions`
+        # with gene calls and functions
+        gene_calls_per_contig = {}
+        inversions_with_no_gene_calls_around = set([])
+        for entry in self.consensus_inversions:
+            inversion_id = entry['inversion_id']
+
+            self.progress.update(f"{inversion_id}", increment=True)
+
+            contig_name = entry['contig_name']
+            first_start = entry['first_start']
+            second_end = entry['second_end']
+
+            # lazy recovery of gene calls in contigs of relevance. should be useful for
+            # metagenomes, but useless for isolate genomes with a single contig.
+            if contig_name not in gene_calls_per_contig:
+                where_clause = f'''contig="{contig_name}" and source="{self.gene_caller_to_consider_in_context}"'''
+                gene_calls_per_contig[contig_name] = contigs_db.db.get_some_rows_from_table_as_dict(t.genes_in_contigs_table_name, where_clause=where_clause, error_if_no_data=False)
+
+            gene_calls_in_contig = gene_calls_per_contig[contig_name]
+
+            if not len(gene_calls_in_contig):
+                # well, we don't have anything to work with here. let's keep this rebel in mind and
+                # move on to the next inversion
+                inversions_with_no_gene_calls_around.add(inversion_id)
+                continue
+
+            # here we will find out what is hte closes genes to the beginning of the first palindrome
+            # inversion and end of the second palindrome
+            min_distance_to_first_start, min_distance_to_second_end = float('inf'), float('inf')
+            closest_gene_call_to_first_start, closest_gene_call_to_second_end = None, None
+            for gene_callers_id, gene_call in gene_calls_in_contig.items():
+                if abs(gene_call['start'] - first_start) < min_distance_to_first_start:
+                    closest_gene_call_to_first_start = gene_callers_id
+                    min_distance_to_first_start = abs(gene_call['start'] - first_start)
+
+                if abs(gene_call['start'] - second_end) < min_distance_to_second_end:
+                    closest_gene_call_to_second_end = gene_callers_id
+                    min_distance_to_second_end = abs(gene_call['start'] - second_end)
+
+            # now we can recover gene calls of interest for our inversions:
+            _range = range(closest_gene_call_to_first_start - self.num_genes_to_consider_in_context,
+                           closest_gene_call_to_second_end + self.num_genes_to_consider_in_context)
+            gene_caller_ids_of_interest = [c for c in _range if c in gene_calls_in_contig]
+
+            # if there are funtion sources, let's recover them for our genes of interest
+            if function_sources_found:
+                where_clause = '''gene_callers_id IN (%s)''' % (', '.join([f"{str(g)}" for g in gene_caller_ids_of_interest]))
+                hits = list(contigs_db.db.get_some_rows_from_table_as_dict(t.gene_function_calls_table_name, where_clause=where_clause, error_if_no_data=False).values())
+            else:
+                # so none of these genes have any functions? WELL FINE.
+                hits = None
+
+            # we are now ready
+            c = []
+            for gene_callers_id in gene_caller_ids_of_interest:
+                gene_call = gene_calls_in_contig[gene_callers_id]
+                gene_call['gene_callers_id'] = gene_callers_id
+
+                # if there are any functions at all, add that to the dict
+                if hits:
+                    gene_call['functions'] = [h for h in hits if h['gene_callers_id'] == gene_callers_id]
+
+                c.append(gene_call)
+
+            # done! `c` now goes to live its best life as a part of the main class
+            self.genomic_context_surrounding_consensus_inversions[inversion_id] = copy.deepcopy(c)
+
+        contigs_db.disconnect()
+
+        self.progress.end()
+
+        self.run.info(f"[Genomic Context] Searched for {PL('inversion', len(self.consensus_inversions))}",
+                      f"Recovered for {len(self.genomic_context_surrounding_consensus_inversions)}",
+                      nl_before=1,
+                      lc="yellow")
+
+        if len(inversions_with_no_gene_calls_around):
+            self.run.warning(f"There were one or more inversions that did not have any valid "
+                             f"{self.gene_caller_to_consider_in_context} gene calls around them. This may happen if an inversion "
+                             f"is occurring in a contig that happens to have no gene calls (either due to its too short, "
+                             f"or because you need a Nobel prize). So results from these weird inversions will not appear "
+                             f"in your final reports. Here is the list in case you would like to track them down: "
+                             f"{', '.join(inversions_with_no_gene_calls_around)}.")
+
+        if not len(self.genomic_context_surrounding_consensus_inversions):
+            self.run.warning(f"Even though anvi'o went through all {PL('inversion', len(self.consensus_inversions))} "
+                             f"it was unable to recover any genomic context for any of them. So your final reports will "
+                             f"not include any insights into the surrounding genomic context of inversions (but otherwise "
+                             f"you will be fine).")
+
+
+    def compute_consensus_inversions(self):
+        """Compute a final, consensus list of unique inversions.
+
+        By identifying redundant inversions and reporting only one
+        of them, this function reports a final list of inversions
+        identifications of which are informed by invdividual samples
+        and their coverages in them, but will continue their lives
+        as strong and independent inversions.
+        """
+
+        total_num_inversions = sum([len(l) for l in self.inversions.values()])
+        if total_num_inversions == 0:
+            raise ConfigError("You called a function to compute consensus inversions with "
+                              "zero inversions. Even though everyone knows that no inversions "
+                              "lead to no consensus inversions, and no consensus inversions "
+                              "lead to no 🍰")
+
+        # to do this, we need to get all the start positions for all
+        # inversions across all samples, cluster them if their start
+        # positions are too close to one another to be an different
+        # inversion, and choose a single representative for each
+        # cluster. first, we get a simpler version of all entries:
+        all_entries = []
+
+        self.progress.new('Computing consensus inversions')
+        self.progress.update('...')
+
+        for sample_name in self.inversions:
+            for inv in self.inversions[sample_name]:
+                all_entries.append((sample_name, inv['contig_name'], inv['first_start'], inv['length']), )
+
+        # now it is time to identify clusters. the following state
+        # machine does that:
+        self.progress.update('Running the state machine')
+        clusters = []
+        while 1:
+            if not len(all_entries):
+                break
+
+            entry = all_entries.pop(0)
+            cluster = [entry]
+            sample, contig_name, start, length = entry
+            matching_entries = []
+
+            for i in range(0, len(all_entries)):
+                n_sample, n_contig_name, n_start, n_length = all_entries[i]
+                if n_contig_name == contig_name and n_start > start - 5 and n_start < start + 5:
+                    matching_entries.append(i)
+
+            # add all matching entries
+            for i in sorted(matching_entries, reverse=True):
+                cluster.append(all_entries.pop(i))
+
+            clusters.append(cluster)
+
+        # now we know our clusters. time to collect all the entires
+        # that match to them to have a final list of consensus
+        # inversions that occur in at least one sample.
+        self.progress.update('Selecting representatives')
+        inversion_counter = 0
+        for cluster in clusters:
+            num_samples = len(cluster)
+            sample_names = ','.join(sorted([x[0] for x in cluster]))
+            sample, contig_name, start, length = sorted(cluster, key=lambda x: x[3], reverse=True)[0]
+
+            consensus_found = False
+            for sample_name in self.inversions:
+                if consensus_found:
+                    break
+
+                for inv in self.inversions[sample_name]:
+                    if inv['contig_name'] == contig_name and inv['first_start'] == start:
+                        inversion_counter += 1
+                        consensus_inversion = OrderedDict({'inversion_id': f'INV_{inversion_counter:04}' })
+                        consensus_inversion.update(copy.deepcopy(inv))
+                        consensus_inversion['num_samples'] = num_samples
+                        consensus_inversion['sample_names'] = sample_names
+                        self.consensus_inversions.append(consensus_inversion)
+                        consensus_found = True
+                        break
+
+        self.progress.end()
+
+        self.run.info(f"[Consensus Inversions] Across {PL('sample', len(self.inversions))}", f"{len(self.consensus_inversions)}", nl_before=1, lc="yellow")
+
+
+    @staticmethod
+    def compute_inversion_activity_for_sample(input_queue, output_queue, samples_dict, primers_dict, oligo_length=6, end_primer_search_after_x_hits=None, run=run_quiet, progress=progress_quiet):
+        """Go back to the raw metagenomic reads to compute activity of inversions for a single sample.
+
+        Returns
+        =======
+        sample_counts : list of tuples
+            A list that summarizes frequencies of all oligos for each primer within the sample. Each
+            tuple in the list holds information for a single oligo and follows the order,
+
+                >>> (sample_name, inversion_id, oligo_primer, oligo, frequency, relative_abundance)
+
+            where,
+
+                - sample_name: sample name as written in the first column of bams-and-profiles-txt
+                - inversion_id: the simplified name (i.e, INV_0001) that matches entries in consensus output file
+                - oligo_primer: frequencies reported whether for the first or second palindrome
+                - oligo: the actual oligonucleotides of `self.oligo_length` bases
+                - frequency: the frequency of oligo in sample
+                - relative_abundance: witin-sample relative abundance of the frequency
+        """
+
+        while True:
+            sample_name = input_queue.get(True)
+
+            # the `samples_dict` knows all samples, `sample_name` knows the sample we are
+            # interested in in this thread. we will subsample the `samples_dict` first
+            # because otherwise PrimerSearch will search primers for every sample in
+            # `samples_dict`
+            samples_dict_for_sample = {sample_name: samples_dict[sample_name]}
+
+            # setup the args object
+            args = argparse.Namespace(samples_dict=samples_dict_for_sample,
+                                      primers_dict=primers_dict,
+                                      min_remainder_length=oligo_length,
+                                      only_keep_remainder=True)
+
+            # if the user is testing:
+            if end_primer_search_after_x_hits:
+                args.stop_after = end_primer_search_after_x_hits
+
+            s = PrimerSearch(args, run=run, progress=progress)
+            sample_dict, primer_hits = s.process_sample(sample_name)
+
+            # we now have results for a single sample. prepare for return.
+            sample_counts = []
+            for primer_name in primers_dict:
+                oligos = s.get_sequences(primer_name, primer_hits, target='remainders')
+                num_oligos = len(oligos)
+                oligos_frequency_dict = Counter(oligos)
+                reads_found = False
+
+                for oligo, frequency in oligos_frequency_dict.items():
+                    sample_counts.append((sample_name, primer_name, oligo, oligo == primers_dict[primer_name]['oligo_reference'], frequency, frequency / num_oligos))
+                    if frequency:
+                        reads_found = True
+
+                # if the reference oligo has no frequency but reads were found for other oligo
+                # then add reference oligo with a frequency of 0
+                oligo_reference = primers_dict[primer_name]['oligo_reference']
+                if oligo_reference not in oligos_frequency_dict and reads_found:
+                    sample_counts.append((sample_name, primer_name, oligo_reference, 'True', 0, 0))
+
+            output_queue.put(sample_counts)
+
+
+    def compute_inversion_activity(self):
+        """Go back to the raw metagenomic reads to compute activity of inversions"""
+
+        if self.skip_compute_inversion_activity or not self.raw_r1_r2_reads_are_present:
+            return
+
+        if not len(self.consensus_inversions):
+            self.run.info_single("Compute inversion activity function is speaking: There are no consensus inversions to "
+                                 "compute in-sample activity :/", mc="red")
+
+        sample_names = list(self.profile_db_bam_file_pairs.keys())
+        num_samples = len(sample_names)
+
+        # let the user know what is going on
+        msg = (f"Now anvi'o will compute in-sample activity of consensus {PL('inversion', len(self.consensus_inversions))} "
+              f"across {PL('sample', num_samples)}. Brace yourself and please not that this can "
+              f"take a very long time since for each sample, anvi'o will go through each short read to search for two "
+              f"sequences per inversion. IF IT COMES TO A POINT WHERE you (or your job on your HPC) can't continue running "
+              f"it, this process can be killed without any loss of data from the previous steps, as your primary output "
+              f"files must have already been reported. You can always skip this step and search for individual primers "
+              f"listed in the consensus output file using the program `anvi-search-primers` with the parameter "
+              f"`--min-remainder-length 6` and the flag `--only-report-remainders` to explore inversion activity "
+              f"manually")
+        self.run.warning(None, header="PERFORMANCE NOTE", lc="yellow")
+        if num_samples > self.num_threads:
+            self.run.info_single(f"You have {PL('sample', num_samples)} but {PL('thread', self.num_threads)}. Not all samples will be processed "
+                                 f"in parallel. Just FYI. {msg}.", level=0, nl_after=1)
+        elif self.num_threads > num_samples:
+            self.run.info_single(f"You have {PL('sample', num_samples)} but {PL('thread', self.num_threads)}. Since only samples are run in "
+                                 f"parallel, the additional {PL('thread', self.num_threads - num_samples)} you have there is not really "
+                                 f"useful for anything. So anvi'o will set your number of threads to {num_samples}. So. {msg}.", level=0, nl_after=1)
+            self.num_threads = num_samples
+        else:
+            self.run.info_single(f"{msg}.", level=0, nl_after=1)
+
+        # here we will need to reconstruct a samples_dict and primers_dict to pass to the class
+        # `PrimerSearch`. for this we first need to generate a list of primers. for each
+        # consensus inversion, which at this point are described in a list like this,
+        #
+        #    >>> [OrderedDict([('inversion_id', 'INV_0001'),
+        #    >>>               ('first_oligo_primer', 'GAGCAAAGATCATGTTTCAAAA.ACGTTC'),
+        #    >>>               ('second_oligo_primer', 'TGTTTCAAAA.ACGTTCCCATTGTGTATTC'),
+        #    >>>               (...)
+        #    >>>               ('num_samples', 1),
+        #    >>>               ('sample_names', 'xP3')]),
+        #    >>>  OrderedDict([('inversion_id', 'INV_0002'),
+        #    >>>               ('first_oligo_primer', 'GGCAGAAATGCCAAGT.CTATCAGAACTT'),
+        #    >>>               ('second_oligo_primer', 'AAGT.CTATCAGAACTTAGAGTAGAGCACT'),
+        #    >>>               (...)
+        #    >>>               ('num_samples', 2),
+        #    >>>               ('sample_names', 'xP3,xP2')]),
+        #    >>>  OrderedDict([('inversion_id', 'INV_0003'),
+        #    >>>               ('first_oligo_primer', 'AGATGTTTCAAAAAACGTTCGTCTATTTGAAC'),
+        #    >>>               ('second_oligo_primer', 'AAACGTTCGTCTATTTGAACAAAAACACGTTTT'),
+        #    >>>               (...)
+        #    >>>               ('num_samples', 1),
+        #    >>>               ('sample_names', 'xP3')]),
+        #    >>>  (...)]
+        #
+        # there will have to be two primers, one for `first_oligo_primer` and one for `second_oligo_primer`.
+        # so our data structure for primers will include two entries for one consensus inversions that
+        # will need to be decomposed later.
+        primers_dict = {}
+        for entry in self.consensus_inversions:
+            inversion_id = entry['inversion_id']
+            primers_dict[inversion_id + '-first_oligo_primer'] = {'primer_sequence': entry['first_oligo_primer'],
+                                                                  'oligo_reference': entry['first_oligo_reference']}
+            primers_dict[inversion_id + '-second_oligo_primer'] = {'primer_sequence': entry['second_oligo_primer'],
+                                                                   'oligo_reference': entry['second_oligo_reference']}
+
+        ##########################################################################################
+        # MULTITHREADING
+        ##########################################################################################
+
+        # setup the input/output queues
+        manager = multiprocessing.Manager()
+        input_queue = manager.Queue()
+        output_queue = manager.Queue()
+
+        # put all the sample names in our input queue
+        for sample_name in sample_names:
+            input_queue.put(sample_name)
+
+        # engage the proletariat, our hard-working wage-earner class
+        workers = []
+        for i in range(self.num_threads):
+            worker = multiprocessing.Process(target=Inversions.compute_inversion_activity_for_sample,
+                                             args=(input_queue,
+                                                   output_queue,
+                                                   self.profile_db_bam_file_pairs,
+                                                   primers_dict,
+                                                   self.oligo_length,
+                                                   self.end_primer_search_after_x_hits),
+                                             kwargs=({'progress': self.progress if self.num_threads == 1 else progress_quiet}))
+            workers.append(worker)
+            worker.start()
+
+
+        # these if blocks for progress is an ugly hack, but they are serving a very useful purpose.
+        # if the user is working with a single thread, we would like them to see th eactual PrimerSearch
+        # activity that comes from `compute_inversion_activity_for_sample`. But when that function is run
+        # in multiple threads, we don't want any progress report from that guy, and report an overall
+        # progress from this main function. So if there is a single thread, we pass our own progress
+        # object to `compute_inversion_activity_for_sample`, which passes it to `PrimerSearch`, which
+        # tells us what it is up to on our terminal. If we have multiple threads, we pass a `progress_quiet`
+        # to `compute_inversion_activity_for_sample`, which omits `PrimerSearch` progress messages, and
+        # instead here we give user an overall idea about how their process is going. Thus, we need to
+        # keep track of thread numbers here :/
+        if self.num_threads > 1:
+            self.progress.new('Inversion activity', progress_total_items=num_samples)
+            self.progress.update(f"Processing {PL('sample', num_samples)} and {PL('primer', len(primers_dict))} in {PL('thread', self.num_threads)}.")
+
+        oligo_frequencies = []
+        num_samples_processed = 0
+        while num_samples_processed < num_samples:
+            try:
+                oligo_frequencies_for_one_sample = output_queue.get()
+                if oligo_frequencies_for_one_sample:
+                    oligo_frequencies.extend(oligo_frequencies_for_one_sample)
+
+                num_samples_processed += 1
+                self.progress.increment(increment_to=num_samples_processed)
+                if self.num_threads > 1:
+                    if num_samples_processed < num_samples:
+                        self.progress.update(f"Samples processed: {num_samples_processed} of {num_samples}. Still working ...")
+                    else:
+                        self.progress.update("All done!")
+            except KeyboardInterrupt:
+                self.run.info_single("Recieved SIGINT, terminating all processes... Don't believe anything you see "
+                                     "below this and sanitize all the output files with fire.", nl_before=1, nl_after=1)
+                break
+
+        if self.num_threads > 1:
+            self.progress.end()
+
+        # always double-tap?
+        for worker in workers:
+            worker.terminate()
+
+        ##########################################################################################
+        # /MULTITHREADING
+        ##########################################################################################
+
+        # we must be ready with all the oligo frequencies by now. it is time to report this
+        output_path = os.path.join(self.output_directory, 'INVERSION-ACTIVITY.txt')
+        headers = ['sample', 'inversion_id', 'oligo_primer', 'oligo', 'reference', 'frequency_count', 'relative_abundance']
+        with open(output_path, 'w') as output:
+            output.write('\t'.join(headers) + '\n')
+            for e in oligo_frequencies:
+                inversion_id, oligo_primer = '-'.join(e[1].split('-')[:-1]), e[1].split('-')[-1]
+                output.write(f"{e[0]}\t{inversion_id}\t{oligo_primer}\t{e[2]}\t{e[3]!s}\t{e[4]}\t{e[5]:.3f}\n")
+
+        self.run.info('Long-format reporting file for inversion activity', output_path, mc='green')
+
+
+    def plot_coverage(self, sequence_name, coverage, num_bins=100):
+        if anvio.QUIET:
+            return
+
+        try:
+            import plotext as plt
+        except:
+            self.run.warning("You don't have the `plotext` library to plot data :/ You can "
+                             "install it by running `pip install plotext` in your anvi'o "
+                             "environment.", header="NO PLOT FOR YOU :(")
+            return
+
+        try:
+            plt.clp()
+            plt.title(f"{sequence_name}")
+            plt.xlabel("Position")
+            plt.ylabel("Coverage")
+            plt.plot(coverage, fillx = True)
+            plt.plotsize(self.progress.terminal_width, 25)
+            plt.canvas_color("cloud")
+            plt.axes_color("cloud")
+            plt.ticks_color("iron")
+        except Exception as e:
+            self.run.warning(f"Something bad happen when anvi'o atempted to plot the coverage data :/ "
+                             f"Your program will continue running, but here is the error message from "
+                             f"the library: \"{e}\".", nl_after=0)
+            return
+
+        try:
+            plt.show()
+        except OSError:
+            self.run.warning("Redirecting things into files and working with funny TTYs confuse "
+                             "the plotting services. Is ok tho.", header="NO PLOT FOR YOU :(")
+            return
+
+
+    def process(self):
+        """Do the processing of everything"""
+
+        w = self.run.width
+        self.run.width += 15
+        self.run.info("[General] Input BAMs and profiles file", self.bams_and_profiles_file_path)
+        self.run.info("[General] Number of samples to process", len(self.profile_db_bam_file_pairs))
+        self.run.info("[General] R1/R2 for raw reads present?", "True" if self.raw_r1_r2_reads_are_present else "False")
+        self.run.info("[General] Be talkative (--verbose)?", "True" if self.verbose else "False", nl_after=1)
+
+        self.run.info("[Defining stretches] Min FF/RR coverage to qualify", self.min_coverage_to_define_stretches)
+        self.run.info("[Defining stretches] Min length", self.min_stretch_length)
+        self.run.info("[Defining stretches] Min dist between independent stretches", self.min_distance_between_independent_stretches)
+        self.run.info("[Defining stretches] Num nts to pad a stretch", self.num_nts_to_pad_a_stretch, nl_after=1)
+
+        self.run.info('[Finding palindromes] Algorithm', self.palindrome_search_algorithm or "[will be dynamically determined based on sequence length]", mc="red")
+        self.run.info("[Finding palindromes] Min palindrome length", self.min_palindrome_length)
+        self.run.info("[Finding palindromes] Max num mismatches", self.max_num_mismatches)
+        self.run.info("[Finding palindromes] Min mismatch distance to first base", self.min_mismatch_distance_to_first_base)
+        self.run.info("[Finding palindromes] Min distance betwen each sequence", self.min_distance_palindrome, nl_after=1)
+
+        self.run.info("[Confirming inversions] Check all palindromes in a stretch?",  "True" if self.check_all_palindromes else "False")
+        self.run.info("[Confirming inversions] Process only inverted reads?",  "True" if self.process_only_inverted_reads else "False", nl_after=1)
+
+        if not self.skip_recovering_genomic_context:
+            self.run.info("[Genomic context] Recover and report genomic context?",  "True", mc="green")
+            self.run.info("[Genomic context] Gene caller to use", self.gene_caller_to_consider_in_context)
+            self.run.info("[Genomic context] Number of genes to consider",  self.num_genes_to_consider_in_context, nl_after=1)
+        else:
+            self.run.info("[Genomic context] Recover and report genomic context?",  "False", mc="red", nl_after=1)
+
+        # are we to compute inversion activity by going through raw reads?
+        inversion_activity_will_be_computed = self.raw_r1_r2_reads_are_present and not self.skip_compute_inversion_activity
+        self.run.info("[Inversion activity] Compute inversion activity?",  "True" if inversion_activity_will_be_computed else "False", mc=("green" if inversion_activity_will_be_computed else "red"))
+        if not inversion_activity_will_be_computed:
+            if not self.raw_r1_r2_reads_are_present:
+                self.run.info("[Inversion activity] Not computing because",  "`bams-and-profiles-txt` does not contain raw reads for r1/r2", nl_after=1)
+            elif self.skip_compute_inversion_activity:
+                self.run.info("[Inversion activity] Not computing because",  "The user asked not to do it :/", nl_after=1)
+            else:
+                self.run.info("[Inversion activity] Not computing because",  "Anvi'o has no idea what it is doing", nl_after=1)
+        else:
+            self.run.info("[Inversion activity] Number of threads", self.num_threads, mc=("green" if self.num_threads > 1 else "red"))
+            if self.end_primer_search_after_x_hits:
+                self.run.info("[Inversion activity] Oligo primer base length", self.oligo_primer_base_length)
+                self.run.info("[Inversion activity Debug] Num hits to end primer search",  self.end_primer_search_after_x_hits, mc="red", nl_after=1)
+            else:
+                self.run.info("[Inversion activity] Oligo primer base length", self.oligo_primer_base_length, nl_after=1)
+
+        if self.target_contig:
+            self.run.info("[Targetly] Only focus on the contig:",  self.target_contig, mc="red")
+        if self.target_region_start:
+            self.run.info("[Targetly] START of the region of interest:",  self.target_region_start, mc="red")
+        if self.target_region_end:
+            self.run.info("[Targetly] END of the region of interest:",  self.target_region_end, mc="red")
+
+        self.run.width = w
+
+        for entry_name in self.profile_db_bam_file_pairs:
+            bam_file_path = self.profile_db_bam_file_pairs[entry_name]['bam_file_path']
+            profile_db_path = self.profile_db_bam_file_pairs[entry_name]['profile_db_path']
+
+            # populate `self.inversions` with inversions associated with `entry_name`
+            self.process_db(entry_name, profile_db_path, bam_file_path)
+
+        # this is time to check `self.inversions`. if there is nothing in it, then there is no
+        # need to continue with the analysis, reporting, etc.
+        total_num_inversions = sum([len(l) for l in self.inversions.values()])
+        if total_num_inversions == 0:
+            samples_note = f"across your {self.profile_db_bam_file_pairs} samples" \
+                                if len(self.profile_db_bam_file_pairs) > 1 else "in your single sample"
+            self.run.warning(f"The code came all the way down here with zero inversions {samples_note}. "
+                             f"Zero. Zip. Which means either there truly are no inversions in your data, "
+                             f"or anvi'o couldn't find them given the search criteria you have defined "
+                             f"(or criteria defined de facto by the default parameters of the program). "
+                             f"Either ways, this is a goodbye.", header="NO INVERSIONS FOUND")
+            return
+
+        # here we know every single inversion. The same inversion site might be
+        # found as true inversion in multiple samples when bams and profiles file
+        # includes more than one sample. To avoid redundancy, we wish to report
+        # a concensus file that describes only unique inversions.
+        self.compute_consensus_inversions()
+
+        # here we will try to generate some insights into the genomic context that
+        # surround inversions, so this data can be reported along with other files.
+        self.recover_genomic_context_surrounding_inversions()
+
+        # we want to report now because the very last step can take a long time, and
+        # if the user kills the process, we don't want them to go home empty handed.
+        self.report()
+
+        # here we have our consensus inversions in `self.consensus_inversions`. It is time
+        # to go back to the raw reads and compute their activity IF r1/r2 files are provided
+        # AND the user didn't ask this step to be skipped.
+        self.compute_inversion_activity()
+
+
+    def sanity_check(self):
+        """Basic checks for a smooth operation"""
+
+        if not self.skip_recovering_genomic_context:
+            if not dbops.ContigsDatabase(self.contigs_db_path, run=run_quiet, progress=progress_quiet).meta['genes_are_called']:
+                raise ConfigError("Your parameter setup asks anvi'o to recover genomic context of active inversions at the end "
+                                  "but the contigs database does not have any genes called :/ For the sake of being explicit "
+                                  "about it anvi'o requests you to use the flag `--skip-recovering-genomic-context` so it is clear "
+                                  "to everyone that this step is meant to be skipped.")
+
+            if 'RNA' in self.gene_caller_to_consider_in_context:
+                raise ConfigError(f"Anvi'o truly hates to do this, but '{self.gene_caller_to_consider_in_context}' is really not a "
+                                  f"very good source for gene calls to consider to understand genomic context for inversions :/ Please "
+                                  f"write to anvi'o developers if you think they're wrong.")
+
+            gene_callers = [g[0] for g in dbops.ContigsDatabase(self.contigs_db_path).meta['gene_callers'] if 'RNA' not in g[0]]
+            if self.gene_caller_to_consider_in_context not in gene_callers:
+                raise ConfigError(f"The gene caller '{self.gene_caller_to_consider_in_context}' is not one of the gene callers "
+                                  f"your contigs database knows about :/ Please use the `--gene-caller` parameter to select one "
+                                  f"that fits .. such as {PL('this one', len(gene_callers), alt='one of these')}: {', '.join(gene_callers)}.")
+
+        bad_profile_dbs = [p for p in self.profile_db_paths if dbi.DBInfo(self.profile_db_paths[0]).get_self_table()['fetch_filter'] != 'inversions']
+        if len(bad_profile_dbs):
+            if len(bad_profile_dbs) == len(self.profile_db_paths):
+                if len(bad_profile_dbs) == 1:
+                    summary = "The only profile database you have here is also the one with the wrong 'fetch filter' :( CONGRATULATIONS."
+                else:
+                    summary = f"But none of the {PL('database', len(self.profile_db_paths))} here have the right 'fetch filter' :("
+            else:
+                summary = (f"Of the total of {PL('database', len(self.profile_db_paths))} "
+                           f"you are working with, {len(bad_profile_dbs)} {PL('does not', len(bad_profile_dbs), alt='do not')} have "
+                           f"the right 'fetch filter' :/")
+
+            raise ConfigError(f"To report inversions, you must provide this program with one or more profile "
+                              f"databases that have the fetch filter 'inversions'. {summary} PRO TIP: a given profile database "
+                              f"will have a fetch filter 'inversions' only if it was generated by `anvi-profile` with the additional "
+                              f"flag `--fetch-filter inversions`. PLUS, you can always use the program `anvi-db-info` to "
+                              f"learn about whether a fetch filter was used when anvi'o profiled the data. BYE NOW.")
+
+        filesnpaths.check_output_directory(self.output_directory)
+        filesnpaths.gen_output_directory(self.output_directory)
+
+        if self.num_threads < 0:
+            raise ConfigError("{self.num_threads} for number of threads? You must be joking, Mr. Feynman.")
+
+        if self.num_genes_to_consider_in_context < 1:
+            raise ConfigError("The number of genes to consider when recovering genomic context around active inversions can't be less than "
+                              "one :/ If you need to consider less than 1 gene around your inversions, you should use the flag "
+                              "`--skip-recovering-genomic-context` instead of confusing anvi'o :(")
+
+        if self.target_region_start and self.target_region_end:
+            if self.target_region_end <= self.target_region_start:
+                raise ConfigError(f"The end position of the target region you wish to focus on must be larger "
+                                  f"than the start poisition of the same region .. for obvious reasons. But "
+                                  f"{pp(self.target_region_end)} is not larger than {pp(self.target_region_start)}.")
+
+        if (self.target_region_start and self.target_region_start < 0) or (self.target_region_end and self.target_region_end < 0):
+            raise ConfigError("Anvi'o kindly advices you to check yourself before you wreck yourself. BUT, it leaves "
+                              "HOW you should check yourself completely up to you as a mystery for you to solve.")
+
+
+    def report(self):
+        """Reporting per-sample as well as consensus inversions, along with other reporting files"""
+
+        headers = []
+        # just learning headers here. NO JUDGING.
+        for entry_name in self.inversions:
+            if len(self.inversions[entry_name]):
+                headers = list(self.inversions[entry_name][0].keys())
+                break
+
+        self.run.warning(None, header="REPORTING OUTPUTS", lc="green")
+
+        ################################################################################################
+        # Per sample inversions
+        ################################################################################################
+        for entry_name in self.inversions:
+            if len(self.inversions[entry_name]):
+                output_path = os.path.join(self.output_directory, f'INVERSIONS-IN-{entry_name}.txt')
+                with open(output_path, 'w') as output:
+                    output.write('\t'.join(headers) + '\n')
+                    for v in self.inversions[entry_name]:
+                        output.write('\t'.join([f"{v[k]}" for k in headers]) + '\n')
+                self.run.info(f'Inversions in {entry_name}', output_path, mc='green')
+            else:
+                self.run.info(f'Inversions in {entry_name}', 'No true inversions in this one :/', mc='red')
+
+        headers = ['inversion_id', 'contig_name', 'first_seq', 'midline', 'second_seq', 'first_start',
+                   'first_end', 'second_start', 'second_end', 'num_mismatches', 'num_gaps', 'length',
+                   'distance', 'num_samples', 'sample_names', 'first_oligo_primer',  'first_oligo_reference',
+                   'second_oligo_primer', 'second_oligo_reference']
+
+        ################################################################################################
+        # Consensus inversions
+        ################################################################################################
+        output_path = os.path.join(self.output_directory, 'INVERSIONS-CONSENSUS.txt')
+        with open(output_path, 'w') as output:
+            output.write('\t'.join(headers) + '\n')
+            for v in self.consensus_inversions:
+                output.write('\t'.join([f"{v[k]}" for k in headers]) + '\n')
+        self.run.info('Reporting file for consensus inversions', output_path, mc='green', nl_before=1)
+
+        ################################################################################################
+        # All stretches considered
+        ################################################################################################
+        output_path = os.path.join(self.output_directory, 'ALL-STRETCHES-CONSIDERED.txt')
+        headers = ['entry_id', 'sequence_name', 'sample_name', 'contig_name', 'start_stop', 'max_coverage', 'num_palindromes_found', 'true_inversions_found']
+        utils.store_dict_as_TAB_delimited_file(self.stretches_considered, output_path, headers=headers)
+        self.run.info('Reporting file on all stretches considered', output_path, nl_before=1, nl_after=1)
+
+        ################################################################################################
+        # Genomic context
+        ################################################################################################
+        self.report_genomic_context_surrounding_inversions()
+
+
+    def report_genomic_context_surrounding_inversions(self):
+        """Reports two long-format output files for genes and functions around inversion"""
+
+        if self.skip_recovering_genomic_context:
+            return
+
+        if not len(self.genomic_context_surrounding_consensus_inversions):
+            return
+
+        # we are in business
+        genes_output_path = os.path.join(self.output_directory, 'INVERSIONS-CONSENSUS-SURROUNDING-GENES.txt')
+        functions_output_path = os.path.join(self.output_directory, 'INVERSIONS-CONSENSUS-SURROUNDING-FUNCTIONS.txt')
+
+        genes_output_headers = ["gene_callers_id", "start", "stop", "direction", "partial", "call_type", "source", "version", "contig"]
+        functions_output_headers = ["gene_callers_id", "source", 'accession', 'function']
+
+        with open(genes_output_path, 'w') as genes_output, open(functions_output_path, 'w') as functions_output:
+            genes_output.write("inversion_id\tentry_type\t%s\n" % '\t'.join(genes_output_headers))
+            functions_output.write("inversion_id\t%s\n" % '\t'.join(functions_output_headers))
+
+            for v in self.consensus_inversions:
+
+                # this is the inversion id we are working with here:
+                inversion_id = v['inversion_id']
+
+                # but we will first create fake gene call entries for inversions:
+                d = dict([(h, '') for h in genes_output_headers])
+
+                # fill in non-empty data for the first palindrome in inversion and insert it:
+                d['contig'] = v['contig_name']
+                d['start'] = v['first_start']
+                d['stop'] = v['first_end']
+                genes_output.write(f"{inversion_id}\tFIRST_PALINDROME\t%s\n" % '\t'.join([f"{d[h]}" for h in genes_output_headers]))
+
+                # fill in non-empty data for the second palindrome in inversion and insert it:
+                d['contig'] = v['contig_name']
+                d['start'] = v['second_start']
+                d['stop'] = v['second_end']
+                genes_output.write(f"{inversion_id}\tSECOND_PALINDROME\t%s\n" % '\t'.join([f"{d[h]}" for h in genes_output_headers]))
+
+                if inversion_id not in self.genomic_context_surrounding_consensus_inversions:
+                    # we don't have anything else to report on this one :/
+                    continue
+
+                for gene_call in self.genomic_context_surrounding_consensus_inversions[inversion_id]:
+                    genes_output.write(f"{inversion_id}\tGENE\t%s\n" % '\t'.join([f"{gene_call[h]}" for h in genes_output_headers]))
+
+                    if 'functions' in gene_call:
+                        for hit in gene_call['functions']:
+                            functions_output.write(f"{inversion_id}\t{hit['gene_callers_id']}\t{hit['source']}\t{hit['accession'].split('!!!')[0]}\t{hit['function'].split('!!!')[0]}\n")
+                    else:
+                        functions_output.write(f"{inversion_id}\t{gene_call['gene_callers_id']}\t\t\t\n")
+
+        self.run.info('Reporting file on gene context', genes_output_path)
+        self.run.info('Reporting file on functional context', functions_output_path, nl_after=1)
diff --git a/anvio/kegg.py b/anvio/kegg.py
index e33b6924ce..fbeb9a7339 100644
--- a/anvio/kegg.py
+++ b/anvio/kegg.py
@@ -11,6 +11,7 @@
 import json
 import time
 import hashlib
+import collections
 import pandas as pd
 import numpy as np
 from scipy import stats
@@ -47,91 +48,130 @@
 P = terminal.pluralize
 
 
-"""Some critical constants for metabolism estimation output formatting."""
-# dict containing possible output modes
-# output_suffix should be unique to a mode so that multiple output modes can be used at once
-# data_dict indicates which data dictionary is used for generating the output (modules or kofams)
-# headers list describes which information to include in the output file; see OUTPUT_HEADERS dict below for more info
-# description is what is printed when --list-available-modes parameter is used
-OUTPUT_MODES = {'kofam_hits_in_modules': {
-                    'output_suffix': "kofam_hits_in_modules.txt",
-                    'data_dict': "modules",
-                    'headers': ["unique_id", "kegg_module", "module_is_complete",
-                                "module_completeness", "path_id", "path", "path_completeness",
-                                "kofam_hit", "gene_caller_id", "contig"],
-                    'description': "Information on each KOfam hit that belongs to a KEGG module"
-                    },
-                'modules': {
+"""Some critical constants for metabolism estimation output formatting.
+
+The below dictionary defines the possible output modes.
+- 'output_suffix' should be unique to a mode so that multiple output modes can be used at once
+- 'data_dict' indicates which data dictionary is used for generating the output (modules or kofams)
+- 'headers' list describes which information to include in the output file (see OUTPUT_HEADERS dict below for more info)
+- 'description' is what is printed when --list-available-modes parameter is used
+"""
+OUTPUT_MODES = {'modules': {
                     'output_suffix': "modules.txt",
                     'data_dict': "modules",
-                    'headers': ["unique_id", "kegg_module", "module_name", "module_class", "module_category",
-                                "module_subcategory", "module_definition", "module_completeness", "module_is_complete",
-                                "kofam_hits_in_module", "gene_caller_ids_in_module", "warnings"],
-                    'description': "Information on KEGG modules"
+                    'headers': ["module", "module_name", "module_class", "module_category",
+                                "module_subcategory", "module_definition",
+                                "stepwise_module_completeness", "stepwise_module_is_complete",
+                                "pathwise_module_completeness", "pathwise_module_is_complete",
+                                "proportion_unique_enzymes_present", "enzymes_unique_to_module", "unique_enzymes_hit_counts",
+                                "enzyme_hits_in_module", "gene_caller_ids_in_module", "warnings"],
+                    'description': "Information on metabolic modules"
                     },
                 'modules_custom': {
                     'output_suffix': "modules_custom.txt",
                     'data_dict': "modules",
                     'headers': None,
-                    'description': "A custom tab-delimited output file where you choose the included KEGG modules data using --custom-output-headers"
+                    'description': "A custom tab-delimited output file where you choose the included modules data using --custom-output-headers"
                     },
-                'kofam_hits': {
-                    'output_suffix': "kofam_hits.txt",
+                'module_paths': {
+                                    'output_suffix': "module_paths.txt",
+                                    'data_dict': "modules",
+                                    'headers': ["module", "pathwise_module_completeness", "pathwise_module_is_complete",
+                                                "path_id", "path", "path_completeness"],
+                                    'description': "Information on each possible path (complete set of enzymes) in a module"
+                                    },
+                'module_steps': {
+                                    'output_suffix': "module_steps.txt",
+                                    'data_dict': "modules",
+                                    'headers': ["module", "stepwise_module_completeness", "stepwise_module_is_complete",
+                                                "step_id", "step", "step_completeness"],
+                                    'description': "Information on each top-level step in a module"
+                                    },
+                'hits': {
+                    'output_suffix': "hits.txt",
                     'data_dict': "kofams",
-                    'headers': ["unique_id", "ko", "gene_caller_id", "contig", "modules_with_ko", "ko_definition"],
-                    'description': "Information on all KOfam hits in the contigs DB, regardless of KEGG module membership"
+                    'headers': ["enzyme", "gene_caller_id", "contig", "modules_with_enzyme", "enzyme_definition"],
+                    'description': "Information on all enzyme annotations in the contigs DB, regardless of module membership"
                     },
                 }
-# dict containing matrix headers of information that we can output in custom mode
-# key corresponds to the header's key in output dictionary (returned from generate_output_dict_for_modules() function)
-# cdict_key is the header's key in modules or kofams data dictionary (if any)
-# mode_type indicates which category of output modes (modules or kofams) this header can be used for. If both, this is 'all'
-# description is printed when --list-available-output-headers parameter is used
-OUTPUT_HEADERS = {'unique_id' : {
+"""
+The below dictionary describes the type of information we can output
+- the dictionary key corresponds to the header's key in the output dictionary (ie, as returned from generate_output_dict_for_modules() function)
+- 'cdict_key' is the header's key in modules or kofams data dictionary (if any)
+- 'mode_type' indicates which category of output modes (modules or kofams) this header can be used for. If both, this is 'all'
+- 'description' is printed when --list-available-output-headers parameter is used
+"""
+OUTPUT_HEADERS = {'module' : {
+                        'cdict_key': None,
+                        'mode_type': 'modules',
+                        'description': "Module number"
+                        },
+                  'stepwise_module_is_complete' : {
+                        'cdict_key': "stepwise_is_complete",
+                        'mode_type': 'modules',
+                        'description': "Whether a module is considered complete or not based on its STEPWISE percent completeness and the completeness threshold"
+                        },
+                  'stepwise_module_completeness' : {
+                        'cdict_key': 'stepwise_completeness',
+                        'mode_type': 'modules',
+                        'description': "Percent completeness of a module, computed as the number of complete steps divided by the number of total steps "
+                                       "(where 'steps' are determined by splitting the module definition on the space character)"
+                        },
+                  'pathwise_module_is_complete' : {
+                        'cdict_key': "pathwise_is_complete",
+                        'mode_type': 'modules',
+                        'description': "Whether a module is considered complete or not based on its PATHWISE percent completeness and the completeness threshold"
+                        },
+                  'pathwise_module_completeness' : {
+                        'cdict_key': 'pathwise_percent_complete',
+                        'mode_type': 'modules',
+                        'description': "Percent completeness of a module, computed as maximum completeness of all possible combinations of enzymes ('paths') in the definition"
+                        },
+                  'enzymes_unique_to_module' : {
                         'cdict_key': None,
-                        'mode_type': 'all',
-                        'description': "Just an integer that keeps our data organized. No real meaning here. Always included in output, so no need to specify it on the command line"
+                        'mode_type': 'modules',
+                        'description': "A list of enzymes that only belong to this module (ie, they are not members of multiple modules)"
                         },
-                  'kegg_module' : {
+                  'unique_enzymes_hit_counts' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "KEGG module number"
+                        'description': "How many times each unique enzyme appears in the sample (order of counts corresponds to list in `enzymes_unique_to_module` field)"
                         },
-                  'module_is_complete' : {
-                        'cdict_key': 'complete',
+                  'proportion_unique_enzymes_present' : {
+                        'cdict_key': 'proportion_unique_enzymes_present',
                         'mode_type': 'modules',
-                        'description': "Whether a KEGG module is considered complete or not based on its percent completeness and the completeness threshold"
+                        'description': "Proportion of enzymes unique to this one module that are present in the sample"
                         },
-                  'module_completeness' : {
-                        'cdict_key': 'percent_complete',
+                  'unique_enzymes_context_string' : {
+                        'cdict_key': 'unique_enzymes_context_string',
                         'mode_type': 'modules',
-                        'description': "Percent completeness of a KEGG module"
+                        'description': "Describes the unique enzymes contributing to the `proportion_unique_enzymes_present` field"
                         },
                   'module_name' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "English name/description of a KEGG module"
+                        'description': "Name/description of a module"
                         },
                   'module_class' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Metabolism class of a KEGG module"
+                        'description': "Metabolism class of a module"
                         },
                   'module_category' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Metabolism category of a KEGG module"
+                        'description': "Metabolism category of a module"
                         },
                   'module_subcategory' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Metabolism subcategory of a KEGG module"
+                        'description': "Metabolism subcategory of a module"
                         },
                   'module_definition' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "KEGG-formatted definition of a KEGG module. Describes the metabolic pathway "
-                                       "in terms of the KOS that belong to the module"
+                        'description': "Definition string of a module. Describes the metabolic pathway "
+                                       "in terms of the enzymes (KOs, COGs, etc) that belong to the module."
                         },
                   'module_substrates' : {
                         'cdict_key': None,
@@ -148,75 +188,86 @@
                   'module_intermediates' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Comma-separated list of compounds that are intermediates the metabolic pathway "
+                        'description': "Comma-separated list of compounds that are intermediates in the metabolic pathway "
                                        "(compounds that are both outputs and inputs of reaction(s) in the pathway)"
                         },
                   'gene_caller_ids_in_module': {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Comma-separated list of gene caller IDs of KOfam hits in a module"
+                        'description': "Comma-separated list of gene caller IDs of enzymes that contribute to a module"
                         },
                   'gene_caller_id': {
                         'cdict_key': None,
-                        'mode_type': 'all',
-                        'description': "Gene caller ID of a single KOfam hit in the contigs DB. If you choose this header, each "
-                                       "line in the output file will be a KOfam hit"
+                        'mode_type': 'kofams',
+                        'description': "Gene caller ID of a single enzyme in the contigs DB"
                         },
-                  'kofam_hits_in_module' : {
+                  'enzyme_hits_in_module' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Comma-separated list of KOfam hits in a module"
+                        'description': "Comma-separated list of enzyme annotations that contribute to a module"
                         },
-                  'kofam_hit' : {
+                  'enzyme_hit' : {
                         'cdict_key': 'kofam_hits',
-                        'mode_type': 'modules',
-                        'description': "KO number of a single KOfam hit. If you choose this header, each line in the output file "
-                                       "will be a KOfam hit"
+                        'mode_type': 'kofams',
+                        'description': "Enzyme identifier for a single annotation (KO, COG, etc)"
                         },
                   'contig' : {
                         'cdict_key': 'genes_to_contigs',
-                        'mode_type': 'all',
-                        'description': "Contig that a KOfam hit is found on. If you choose this header, each line in the output "
-                                       "file will be a KOfam hit"
+                        'mode_type': 'kofams',
+                        'description': "Contig that an enzyme annotation is found on"
                         },
                   'path_id' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "Integer ID for a path through a KEGG module. No real meaning and just for data organization. "
-                                       "If you choose this header, each line in the output file will be a KOfam hit"
+                        'description': "Integer ID for a path through a module. Has no real meaning and is used for data organization"
                         },
                   'path' : {
                         'cdict_key': None,
                         'mode_type': 'modules',
-                        'description': "A path through a KEGG module (a linear sequence of KOs that together represent each metabolic step "
-                                       "in the module. Most modules have several of these due to KO redundancy). If you choose this header, "
-                                       "each line in the output file will be a KOfam hit"
+                        'description': "A path through a module: a linear sequence of enzymes that together represent each metabolic step "
+                                       "in the module (most modules have several of these due to enzyme redundancy)"
                         },
                   'path_completeness' : {
                         'cdict_key': 'pathway_completeness',
                         'mode_type': 'modules',
-                        'description': "Percent completeness of a particular path through a KEGG module. If you choose this header, each line "
-                                       "in the output file will be a KOfam hit"
+                        'description': "Percent completeness of a given path through a module"
+                        },
+                  'step_id' : {
+                        'cdict_key': None,
+                        'mode_type': 'modules',
+                        'description': "Integer ID for a top-level step in a module. Has no real meaning and is used for data organization"
+                        },
+                  'step' : {
+                        'cdict_key': None,
+                        'mode_type': 'modules',
+                        'description': "A 'top-level' step in a module, represented by one or more possible enzymes that can catalyze "
+                                       "a logical part of the metabolic pathway (usually one reaction)"
+                        },
+                  'step_completeness' : {
+                        'cdict_key': None,
+                        'mode_type': 'modules',
+                        'description': "Binary completeness of a given 'top-level' step in a module"
                         },
                   'warnings' : {
                         'cdict_key': 'warnings',
                         'mode_type': 'modules',
-                        'description': "If we are missing a KOfam profile for one of the KOs in a module, there will be a note in this column. "
+                        'description': "This column holds a comma-separated list of notes about things that might affect completeness "
+                                       "estimates for a module, such as missing enzyme profiles."
                         },
-                  'ko' : {
+                  'enzyme' : {
                         'cdict_key': None,
                         'mode_type': 'kofams',
-                        'description': 'KEGG Orthology (KO) number of a KOfam hit'
+                        'description': 'Identifier for an enzyme that is annotated in your database(s), ie a KO or COG number'
                         },
-                  'modules_with_ko': {
+                  'modules_with_enzyme': {
                         'cdict_key': 'modules',
                         'mode_type': 'kofams',
-                        'description': 'A comma-separated list of modules that the KO belongs to'
+                        'description': 'A comma-separated list of modules that the enzyme belongs to'
                         },
-                  'ko_definition': {
+                  'enzyme_definition': {
                         'cdict_key': None,
                         'mode_type': 'kofams',
-                        'description': 'The functional annotation associated with the KO number'
+                        'description': 'The functional annotation associated with the enzyme'
                         },
                   }
 
@@ -224,8 +275,10 @@
 # if you want to add something here, don't forget to add it to the dictionary in the corresponding
 # get_XXX_metadata_dictionary() function
 MODULE_METADATA_HEADERS = ["module_name", "module_class", "module_category", "module_subcategory"]
-KO_METADATA_HEADERS = ["ko_definition", "modules_with_ko"]
-
+KO_METADATA_HEADERS = ["enzyme_definition", "modules_with_enzyme"]
+# Exception: if you add to this list, you must add it in the steps_subdict in generate_subsets_for_matrix_format()
+# and to the relevant step metadata clause in write_stat_to_matrix()
+STEP_METADATA_HEADERS = ["step_definition"]
 
 
 class KeggContext(object):
@@ -235,32 +288,46 @@ def __init__(self, args):
         A = lambda x: args.__dict__[x] if x in args.__dict__ else None
         # default data directory will be called KEGG and will store the KEGG Module data as well
         self.default_kegg_dir = os.path.join(os.path.dirname(anvio.__file__), 'data/misc/KEGG')
-        self.kegg_data_dir = A('kegg_data_dir') or self.default_kegg_dir
+        self.kegg_data_dir = os.path.abspath(A('kegg_data_dir') or self.default_kegg_dir)
+        self.user_input_dir = os.path.abspath(A('user_modules')) if A('user_modules') else None
+        self.only_user_modules = A('only_user_modules')
         self.orphan_data_dir = os.path.join(self.kegg_data_dir, "orphan_data")
-        self.module_data_dir = os.path.join(self.kegg_data_dir, "modules")
-        self.hmm_data_dir = os.path.join(self.kegg_data_dir, "HMMs")
+        self.kegg_module_data_dir = os.path.join(self.kegg_data_dir, "modules")
+        self.kegg_hmm_data_dir = os.path.join(self.kegg_data_dir, "HMMs")
         self.pathway_data_dir = os.path.join(self.kegg_data_dir, "pathways")
+        self.brite_data_dir = os.path.join(self.kegg_data_dir, "BRITE")
         self.quiet = A('quiet') or False
         self.just_do_it = A('just_do_it')
 
         # shared variables for all KEGG subclasses
-        self.kofam_hmm_file_path = os.path.join(self.hmm_data_dir, "Kofam.hmm") # file containing concatenated KOfam hmms
+        self.kofam_hmm_file_path = os.path.join(self.kegg_hmm_data_dir, "Kofam.hmm") # file containing concatenated KOfam hmms
         self.ko_list_file_path = os.path.join(self.kegg_data_dir, "ko_list.txt")
         self.kegg_module_file = os.path.join(self.kegg_data_dir, "modules.keg")
         self.kegg_pathway_file = os.path.join(self.kegg_data_dir, "pathways.keg")
+        self.kegg_brite_hierarchies_file = os.path.join(self.kegg_data_dir, "hierarchies.json")
         self.kegg_modules_db_path = os.path.join(self.kegg_data_dir, "MODULES.db")
 
+        if self.user_input_dir:
+            self.user_module_data_dir = os.path.join(self.user_input_dir, "modules")
+            self.user_modules_db_path = os.path.join(self.user_input_dir, "USER_MODULES.db")
+
+        # sanity check for incompatible arguments
+        if A('kegg_data_dir') and A('only_user_modules'):
+            raise ConfigError("The options --kegg-data-dir and --only-user-modules are incompatible. Please figure out which one you "
+                              "want and try again :)")
+
         # sanity check to prevent automatic overwriting of non-default kegg data dir
-        if A('reset') and A('kegg_data_dir'):
-            raise ConfigError("You are attempting to run KEGG setup on a non-default data directory (%s) using the --reset flag. "
-                              "To avoid automatically deleting a directory that may be important to you, anvi'o refuses to reset "
-                              "directories that have been specified with --kegg-data-dir. If you really want to get rid of this "
-                              "directory and regenerate it with KEGG data inside, then please remove the directory yourself using "
-                              "a command like `rm -r %s`. We are sorry to make you go through this extra trouble, but it really is "
-                              "the safest way to handle things." % (self.kegg_data_dir, self.kegg_data_dir))
+        if self.__class__.__name__ in ['KeggSetup']:
+            if os.path.exists(self.kegg_data_dir) and self.kegg_data_dir != self.default_kegg_dir:
+                raise ConfigError(f"You are attempting to set up KEGG in a non-default data directory ({self.kegg_data_dir}) which already exists. "
+                                  f"To avoid automatically deleting a directory that may be important to you, anvi'o refuses to get rid of "
+                                  f"directories that have been specified with --kegg-data-dir. If you really want to get rid of this "
+                                  f"directory and replace it with the KEGG archive data, then please remove the directory yourself using "
+                                  f"a command like `rm -r {self.kegg_data_dir}`. We are sorry to make you go through this extra trouble, but it really is "
+                                  f"the safest way to handle things.")
 
 
-    def setup_ko_dict(self):
+    def setup_ko_dict(self, exclude_threshold=True):
         """The purpose of this function is to process the ko_list file into usable form by KEGG sub-classes.
 
         The ko_list file (which is downloaded along with the KOfam HMM profiles) contains important
@@ -278,6 +345,11 @@ def setup_ko_dict(self):
         This is a dictionary (indexed by knum) of dictionaries(indexed by column name).
         Here is an example of the dictionary structure:
         self.ko_dict["K00001"]["threshold"] = 329.57
+
+        PARAMETERS
+        ==========
+        exclude_threshold : Boolean
+            If this is true, we remove KOs without a bitscore threshold from the ko_dict
         """
 
         self.ko_dict = utils.get_TAB_delimited_file_as_dictionary(self.ko_list_file_path)
@@ -297,7 +369,10 @@ def setup_ko_dict(self):
             utils.store_dict_as_TAB_delimited_file(orphan_ko_dict, orphan_ko_path, key_header="knum", headers=orphan_ko_headers)
 
         [self.ko_dict.pop(ko) for ko in self.ko_skip_list]
-        [self.ko_dict.pop(ko) for ko in self.ko_no_threshold_list]
+        if exclude_threshold:
+            [self.ko_dict.pop(ko) for ko in self.ko_no_threshold_list]
+        else:
+            self.run.warning("FYI, we are including KOfams that do not have a bitscore threshold in the analysis.")
 
 
     def get_ko_skip_list(self):
@@ -343,45 +418,62 @@ def get_ko_skip_list(self):
         return skip_list, no_threshold_list
 
 
-    def get_module_metadata_dictionary(self, mnum):
-        """Returns a dictionary of metadata for the given module.
-
-        The dictionary must include all the metadata from MODULE_METADATA_HEADERS,
-        using those headers as keys.
-        """
-
-        mnum_class_dict = self.kegg_modules_db.get_kegg_module_class_dict(mnum, class_value=self.all_modules_in_db[mnum]['CLASS'])
-
-        metadata_dict = {}
-        metadata_dict["module_name"] = self.all_modules_in_db[mnum]['NAME']
-        metadata_dict["module_class"] = mnum_class_dict["class"]
-        metadata_dict["module_category"] = mnum_class_dict["category"]
-        metadata_dict["module_subcategory"] = mnum_class_dict["subcategory"]
-        return metadata_dict
-
+    def invert_brite_json_dict(self, brite_dict):
+        """Invert a BRITE hierarchy dict loaded from a json file into a dict keyed by KEGG entries.
+
+        There are only two keys expected in a BRITE json file, 'name' and 'children'. The value for
+        'name' is a string and the value for 'children' is a list of dicts.
+
+        Here is an example of what the beginning of the json dict looks like for 'br08902 BRITE
+        Hierarchy Files', the 'hierarchy of all existing hierarchies':
+           {
+             "name": "br08902",
+             "children": [
+               {
+                 "name": "Pathway and Brite",
+                 "children": [
+                   {
+                     "name": "Pathway maps",
+                     "children": [
+                       {
+                         "name": "br08901  KEGG pathway maps"
+                       }
+                     ]
+                   }, ...
+        Observe that innermost dicts only have a single entry keyed by 'name'.
+
+        Here is the corresponding entry in the returned dict for the item in the example:
+            'br08901  KEGG pathway maps':
+                [['br08902', 'Pathway and Brite', 'Pathway maps']]
+        The value is a list of lists because an item can occur multiple times in the same hierarchy.
 
-    def get_ko_metadata_dictionary(self, knum):
-        """Returns a dictionary of metadata for the given KO.
+        PARAMETERS
+        ==========
+        brite_dict : dict
+            dict loaded from BRITE hierarchy json file
 
-        The dictionary must include all the metadata from KO_METADATA_HEADERS,
-        using those headers as keys.
+        RETURNS
+        =======
+        categorization_dict : dict
+            dict of entry categorizations in BRITE hierarchy
         """
 
-        mod_list = self.all_kos_in_db[knum] if knum in self.all_kos_in_db else None
-        if mod_list:
-            mod_list_str = ",".join(mod_list)
-        else:
-            mod_list_str = "None"
-
-        if knum not in self.ko_dict:
-            raise ConfigError("Something is mysteriously wrong. Your contigs database "
-                              f"has an annotation for KO {knum} but this KO is not in "
-                              "the KO dictionary. This should never have happened.")
+        children_stack = collections.deque()
+        children_stack.append(([brite_dict['name']], brite_dict['children']))
+        categorization_dict = {}
+        while children_stack:
+            hierarchy, children_list = children_stack.popleft()
+            for child_dict in children_list:
+                child_name = child_dict['name']
+                if 'children' in child_dict:
+                    children_stack.append((hierarchy + [child_name], child_dict['children']))
+                else:
+                    try:
+                        categorization_dict[child_name].append(hierarchy)
+                    except KeyError:
+                        categorization_dict[child_name] = [hierarchy]
 
-        metadata_dict = {}
-        metadata_dict["ko_definition"] = self.ko_dict[knum]['definition']
-        metadata_dict["modules_with_ko"] = mod_list_str
-        return metadata_dict
+        return categorization_dict
 
 
 class KeggSetup(KeggContext):
@@ -399,12 +491,17 @@ class KeggSetup(KeggContext):
     """
 
     def __init__(self, args, run=run, progress=progress, skip_init=False):
+        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
         self.args = args
         self.run = run
         self.progress = progress
         self.kegg_archive_path = args.kegg_archive
         self.download_from_kegg = True if args.download_from_kegg else False
+        self.only_download = True if A('only_download') else False
+        self.only_database = True if A('only_database') else False
         self.kegg_snapshot = args.kegg_snapshot
+        self.skip_brite_hierarchies = A('skip_brite_hierarchies')
+        self.overwrite_modules_db = A('overwrite_output_destinations')
 
         if self.kegg_archive_path and self.download_from_kegg:
             raise ConfigError("You provided two incompatible input options, --kegg-archive and --download-from-kegg. "
@@ -412,91 +509,184 @@ def __init__(self, args, run=run, progress=progress, skip_init=False):
         if self.kegg_snapshot and self.download_from_kegg or self.kegg_snapshot and self.kegg_archive_path:
             raise ConfigError("You cannot request setup from an anvi'o KEGG snapshot at the same time as from KEGG directly or from one of your "
                               "KEGG archives. Please pick just one setup option and try again.")
-
-        # initializing this to None here so that it doesn't break things downstream
+        if (not self.download_from_kegg) and (self.only_download or self.only_database):
+            raise ConfigError("Erm. The --only-download and --only-database options are only valid if you are also using the --download-from-kegg "
+                              "option. Sorry.")
+        if self.only_download and self.only_database:
+            raise ConfigError("The --only-download and --only-database options are incompatible. Please choose only one. Or, if you want both "
+                              "download AND database setup to happen, then use only the -D flag without providing either of these two options.")
+
+        if (not self.download_from_kegg) and self.skip_brite_hierarchies:
+            self.run.warning("Just so you know, the --skip-brite-hierarchies flag does not do anything (besides suppress some warning output) when used "
+                             "without the -D option. You are setting up from an archived KEGG snapshot which may already include BRITE data, and if it "
+                             "does, this data will not be removed. You can always check if the resulting modules database contains BRITE data by "
+                             "running `anvi-db-info` on it and looking at the `is_brite_setup` value (which will be 1 if the database contains BRITE data).")
+
+        # initializing these to None here so that it doesn't break things downstream
         self.pathway_dict = None
+        self.brite_dict = None
 
         # init the base class
         KeggContext.__init__(self, self.args)
 
+        if self.user_input_dir:
+            self.run.warning(f"Just so you know, we will be setting up the metabolism data provided at the following "
+                             f"location: '{self.user_input_dir}'. The success of this will be determined by how well you "
+                             f"followed our formatting guidelines, so keep an eye out for errors below.")
+
         filesnpaths.is_program_exists('hmmpress')
 
-        # this is to avoid a strange os.path.dirname() bug that returns nothing if the input doesn't look like a path
-        if '/' not in self.kegg_data_dir:
-            self.kegg_data_dir += '/'
-        filesnpaths.is_output_dir_writable(os.path.dirname(self.kegg_data_dir))
-
-        if not args.reset and not anvio.DEBUG and not skip_init:
-            self.is_database_exists()
-
-        if self.download_from_kegg and not self.kegg_archive_path and not skip_init:
-            filesnpaths.gen_output_directory(self.kegg_data_dir, delete_if_exists=args.reset)
-            filesnpaths.gen_output_directory(self.hmm_data_dir, delete_if_exists=args.reset)
-            filesnpaths.gen_output_directory(self.orphan_data_dir, delete_if_exists=args.reset)
-            filesnpaths.gen_output_directory(self.module_data_dir, delete_if_exists=args.reset)
-            filesnpaths.gen_output_directory(self.pathway_data_dir, delete_if_exists=args.reset)
-
-        # get KEGG snapshot info for default setup
-        self.target_snapshot = self.kegg_snapshot or 'v2020-12-23'
-        self.target_snapshot_yaml = os.path.join(os.path.dirname(anvio.__file__), 'data/misc/KEGG-SNAPSHOTS.yaml')
-        self.snapshot_dict = utils.get_yaml_as_dict(self.target_snapshot_yaml)
-
-        if self.target_snapshot not in self.snapshot_dict.keys():
-            self.run.warning(None, header="AVAILABLE KEGG SNAPSHOTS", lc="yellow")
-            available_snapshots = sorted(list(self.snapshot_dict.keys()))
-            for snapshot_name in available_snapshots:
-                self.run.info_single(snapshot_name + (' (latest)' if snapshot_name == available_snapshots[-1] else ''))
-
-            raise ConfigError("Whoops. The KEGG snapshot you requested is not one that is known to anvi'o. Please try again, and "
-                              "this time pick from the list shown above.")
-
-        # default download path for KEGG snapshot
-        self.default_kegg_data_url = self.snapshot_dict[self.target_snapshot]['url']
-        self.default_kegg_archive_file = self.snapshot_dict[self.target_snapshot]['archive_name']
-
-        # download from KEGG option: ftp path for HMM profiles and KO list
-            # for ko list, add /ko_list.gz to end of url
-            # for profiles, add /profiles.tar.gz  to end of url
-        self.database_url = "ftp://ftp.genome.jp/pub/db/kofam"
-        # dictionary mapping downloaded file name to final decompressed file name or folder location
-        self.files = {'ko_list.gz': self.ko_list_file_path, 'profiles.tar.gz': self.kegg_data_dir}
-
-        # download from KEGG option: module/pathway map htext files and API link
-        self.kegg_module_download_path = "https://www.genome.jp/kegg-bin/download_htext?htext=ko00002.keg&format=htext&filedir="
-        self.kegg_pathway_download_path = "https://www.genome.jp/kegg-bin/download_htext?htext=br08901.keg&format=htext&filedir="
-        self.kegg_rest_api_get = "http://rest.kegg.jp/get"
-
-
-    def is_database_exists(self):
-        """This function determines whether the user has already downloaded the Kofam HMM profiles and KEGG modules."""
-
-        if os.path.exists(self.kofam_hmm_file_path):
-            raise ConfigError("It seems you already have KOfam HMM profiles installed in '%s', please use the --reset flag "
-                              "or delete this directory manually if you want to re-download it." % self.kegg_data_dir)
-
-        if os.path.exists(self.kegg_module_file):
-            raise ConfigError("Interestingly, though KOfam HMM profiles are not installed on your system, KEGG module "
-                              "information seems to have been already downloaded in %s. Please use the --reset flag or "
-                              "delete this directory manually to let this script re-download everything from scratch."
-                              % self.kegg_data_dir)
-
-        if os.path.exists(self.kegg_pathway_file):
-            raise ConfigError("Interestingly, though KOfam HMM profiles are not installed on your system, KEGG pathway "
-                              "information seems to have been already downloaded in %s. Please use the --reset flag or "
-                              "delete this directory manually to let this script re-download everything from scratch."
-                              % self.kegg_data_dir)
-
-        if os.path.exists(self.module_data_dir):
-            raise ConfigError("It seems the KEGG module directory %s already exists on your system. This is even more "
-                              "strange because Kofam HMM profiles have not been downloaded. We suggest you to use the "
-                              "--reset flag or delete the KEGG directory (%s) manually to download everything from scratch."
-                              % (self.module_data_dir, self.kegg_data_dir))
-
-        if os.path.exists(self.pathway_data_dir):
-            raise ConfigError("It seems the KEGG pathway directory %s already exists on your system. This is even more "
-                              "strange because Kofam HMM profiles have not been downloaded. We suggest you to use the "
-                              "--reset flag or delete the KEGG directory (%s) manually to download everything from scratch."
-                              % (self.pathway_data_dir, self.kegg_data_dir))
+        if not self.user_input_dir:
+
+            if not args.reset and not anvio.DEBUG and not skip_init:
+                self.is_database_exists(fail_if_exists=(not self.only_database))
+
+            if self.download_from_kegg and not self.only_database and not self.kegg_archive_path and not skip_init:
+                filesnpaths.gen_output_directory(self.kegg_data_dir, delete_if_exists=args.reset)
+                filesnpaths.gen_output_directory(self.kegg_hmm_data_dir, delete_if_exists=args.reset)
+                filesnpaths.gen_output_directory(self.orphan_data_dir, delete_if_exists=args.reset)
+                filesnpaths.gen_output_directory(self.kegg_module_data_dir, delete_if_exists=args.reset)
+                filesnpaths.gen_output_directory(self.brite_data_dir, delete_if_exists=args.reset)
+
+            # get KEGG snapshot info for default setup
+            self.target_snapshot = self.kegg_snapshot or 'v2022-04-14'
+            self.target_snapshot_yaml = os.path.join(os.path.dirname(anvio.__file__), 'data/misc/KEGG-SNAPSHOTS.yaml')
+            self.snapshot_dict = utils.get_yaml_as_dict(self.target_snapshot_yaml)
+
+            if self.target_snapshot not in self.snapshot_dict.keys():
+                self.run.warning(None, header="AVAILABLE KEGG SNAPSHOTS", lc="yellow")
+                available_snapshots = sorted(list(self.snapshot_dict.keys()))
+                for snapshot_name in available_snapshots:
+                    self.run.info_single(snapshot_name + (' (latest)' if snapshot_name == available_snapshots[-1] else ''))
+
+                raise ConfigError("Whoops. The KEGG snapshot you requested is not one that is known to anvi'o. Please try again, and "
+                                  "this time pick from the list shown above.")
+
+            # default download path for KEGG snapshot
+            self.default_kegg_data_url = self.snapshot_dict[self.target_snapshot]['url']
+            self.default_kegg_archive_file = self.snapshot_dict[self.target_snapshot]['archive_name']
+
+            # download from KEGG option: ftp path for HMM profiles and KO list
+                # for ko list, add /ko_list.gz to end of url
+                # for profiles, add /profiles.tar.gz  to end of url
+            self.database_url = "ftp://ftp.genome.jp/pub/db/kofam"
+            # dictionary mapping downloaded file name to final decompressed file name or folder location
+            self.files = {'ko_list.gz': self.ko_list_file_path, 'profiles.tar.gz': self.kegg_data_dir}
+
+            # download from KEGG option: module/pathway map htext files and API link
+            self.kegg_module_download_path = "https://www.genome.jp/kegg-bin/download_htext?htext=ko00002.keg&format=htext&filedir="
+            self.kegg_pathway_download_path = "https://www.genome.jp/kegg-bin/download_htext?htext=br08901.keg&format=htext&filedir="
+            self.kegg_rest_api_get = "http://rest.kegg.jp/get"
+            # download a json file containing all BRITE hierarchies, which can then be downloaded themselves
+            self.kegg_brite_hierarchies_download_path = os.path.join(self.kegg_rest_api_get, "br:br08902/json")
+
+        else: # user input setup
+            filesnpaths.is_output_dir_writable(os.path.dirname(self.user_input_dir))
+
+            self.check_user_input_dir_format()
+
+            if not args.reset and not skip_init:
+                self.is_user_database_exists()
+
+            if args.reset:
+                self.run.warning("Since you used the --reset flag, anvi'o will get rid of any existing user modules database. "
+                                 "Now ye be warned.")
+                paths_to_remove = [self.user_modules_db_path]
+                for path in paths_to_remove:
+                    if os.path.exists(path):
+                        os.remove(path)
+                        self.run.info("Successfully removed", path)
+
+
+    def is_database_exists(self, fail_if_exists=True):
+        """This function determines whether the user has already downloaded all required KEGG data.
+
+        More specifically, it looks for the KEGG files that we use to learn what to download (as in
+        the KEGG MODULE file) and for the existence of the data directories that are created by this
+        program.
+
+        PARAMETERS
+        ==========
+        fail_if_exists : Boolean
+            if this is True, this function will fail if the KEGG data already exists on the user's
+            computer. If it is False, AND the user has already downloaded all required KEGG data,
+            then this function will not fail. This is to enable the --only-database option.
+            Note that in this case we require all KEGG data to be pre-downloaded to avoid mixing
+            older and newer KEGG data - so if this data is only partially downloaded, the function
+            will raise an error even if this parameter is False.
+        """
+
+        files_to_check = [self.kofam_hmm_file_path,
+                          self.kegg_module_file,
+                          self.kegg_module_data_dir,
+                          ]
+        if not self.skip_brite_hierarchies:
+            files_to_check.append(self.kegg_brite_hierarchies_file)
+            files_to_check.append(self.brite_data_dir)
+
+        files_that_exist = []
+        for f in files_to_check:
+            if os.path.exists(f):
+                if fail_if_exists:
+                    raise ConfigError(f"It seems you already have data at {f}, please use the `--reset` flag "
+                                      "or delete the KEGG data directory manually if you want to re-download KEGG data. "
+                                      "See also the --only-database option, which you can use if you already "
+                                      "have all required KEGG data in that folder.")
+                else:
+                    files_that_exist.append(f)
+
+        if files_that_exist:
+            exist_str = "\n".join(files_that_exist)
+            # we require all data to be present. Otherwise we might produce chimeric KEGG data.
+            if files_that_exist != files_to_check:
+                raise ConfigError(f"We found some, but not all, required KEGG data on your computer in the KEGG "
+                                  f"data directory. Since you don't have everything you need, we need you to re-download "
+                                  f"everything from scratch. Please re-run this program using the --reset flag, and if "
+                                  f"you were using the --only-database option, remove that flag. :) HOWEVER, if you notice that "
+                                  "KEGG BRITE data does not appear to be in the upcoming list, but you don't actually want "
+                                  "to download BRITE data, then you can just add the --skip-brite-hierarchies to your previous "
+                                  f"command and be on your way (ie, no --reset needed). Here is the KEGG data we found:\n{exist_str}")
+
+            self.run.warning(f"We found already-downloaded KEGG data on your computer. Setup will continue using "
+                             f"this data. However, if you think everything should be re-downloaded from scratch, please kill this program "
+                             f"and restart it using the `--reset` flag. Here is the data you already have, in case you "
+                             f"need to check it to make sure we are not using something that is too old:\n"
+                             f"{exist_str}")
+
+        if self.only_database and not files_that_exist:
+            raise ConfigError(f"We noticed that there is no KEGG data on your computer at {self.kegg_data_dir} even "
+                              f"though you used the --only-database option. If you don't actually have KEGG data already "
+                              f"downloaded, you should get rid of the --only-database flag and re-run this program. If you "
+                              f"know that you DO have KEGG data, perhaps you gave us the wrong data directory?")
+
+
+    def check_user_input_dir_format(self):
+        """This function checks whether the user input directory exists and contains the required subfolders
+
+        The required subfolders are:
+            modules : directory containing the user's metabolic pathway definitions (as text files)
+        """
+
+        for path in [self.user_input_dir, self.user_module_data_dir]:
+            if not os.path.exists(path):
+                raise ConfigError(f"There is a problem with the input directory you provided. The following path does not "
+                                  f"exist: '{path}'. Please make sure that your input folder exists and that it follows the "
+                                  f"formatting requirements. We're sorry for asking this of you, but it really helps us make "
+                                  f"sure everything will go smoothly.")
+
+            file_list = [f for f in glob.glob(os.path.join(path, '*'))]
+            if not file_list:
+                raise ConfigError(f"The folder '{path}' appears to be empty, so we have no data to work with. Please make "
+                                  f"sure that you have provided the correct input directory and formatted it correctly so "
+                                  f"that anvi'o can find your data.")
+
+
+    def is_user_database_exists(self):
+        """This function checks whether user data has already been set up in the provided input directory."""
+
+        if os.path.exists(self.user_modules_db_path):
+            raise ConfigError(f"It seems you already have a user modules database installed at '{self.user_modules_db_path}', "
+                              f"please use the --reset flag or delete this file manually if you want to re-generate it.")
 
 
     def download_profiles(self):
@@ -663,14 +853,80 @@ def process_pathway_file(self):
         self.progress.end()
 
 
-    def download_modules(self):
-        """This function downloads the KEGG modules.
+    def process_brite_hierarchy_of_hierarchies(self):
+        """Read the KEGG BRITE 'br08902' 'hierarchy of hierarchies' json file into a dictionary.
 
-        To do so, it also processes the KEGG module file into a dictionary via the process_module_file() function.
-        To verify that each file has been downloaded properly, we check that the last line is '///'.
+        This method is called during setup to find all BRITE hierarchies to be downloaded.
+        Hierarchies of interest have accessions starting with 'ko' and classify genes/proteins.
+        Excluded hierarchies include those for modules, pathways, and other systems for reactions,
+        compounds, taxa, etc.
+
+        The dictionary that is filled out, `self.brite_dict`, is keyed by the 'ko' hierarchy name
+        exactly as given in the 'br08902' json file. The values are the categorizations of the
+        hierarchy in 'br08902', going from most general to most specific category.
+
+        Here is an example of an entry produced in self.brite_dict:
+            'ko01000  Enzymes':
+                ['Genes and Proteins', 'Protein families: metabolism']
         """
 
-        self.run.info("KEGG Module Database URL", self.kegg_rest_api_get)
+        filesnpaths.is_file_exists(self.kegg_brite_hierarchies_file)
+        filesnpaths.is_file_json_formatted(self.kegg_brite_hierarchies_file)
+
+        self.progress.new("Parsing KEGG BRITE Hierarchies file")
+
+        brite_hierarchies_dict = json.load(open(self.kegg_brite_hierarchies_file))
+        # store the names of all of the 'ko' hierarchies for genes/proteins
+        self.brite_dict = {}
+        hierarchies_appearing_multiple_times = []
+        hierarchies_with_unrecognized_accession = []
+        for hierarchy, categorizations in self.invert_brite_json_dict(brite_hierarchies_dict).items():
+            # we have observed the hierarchy label to have an accession followed by two spaces followed by the hierarchy name,
+            # but accommodate the possibility that the accession is separated from the name by a variable number of spaces
+            split_hierarchy = hierarchy.split(' ')
+            hierarchy_accession = split_hierarchy[0]
+            hierarchy_name = ' '.join(split_hierarchy[1: ]).lstrip()
+            if hierarchy_accession[: 2] == 'br':
+                # hierarchy accessions beginning with 'br' are for reactions, compounds, taxa, etc., not genes/proteins
+                continue
+            elif hierarchy_accession == 'ko00002' and hierarchy_name == 'KEGG modules':
+                # this hierarchy is for modules, not genes/proteins
+                continue
+            elif hierarchy_accession == 'ko00003' and hierarchy_name == 'KEGG reaction modules':
+                # this hierarchy is also for modules
+                continue
+
+            if len(categorizations) > 1:
+                hierarchies_appearing_multiple_times.append((hierarchy, len(categorizations)))
+
+            if hierarchy_accession[: 2] != 'ko':
+                hierarchies_with_unrecognized_accession.append(hierarchy)
+                continue
+            try:
+                int(hierarchy_accession[2: 7])
+            except ValueError:
+                hierarchies_with_unrecognized_accession.append(hierarchy)
+                continue
+            self.brite_dict[hierarchy] = categorizations[0][1: ]
+
+        error_first_part = ""
+        if hierarchies_appearing_multiple_times:
+            error_first_part = ("Each BRITE hierarchy should only appear once in the hierarchy of hierarchies, "
+                                "but the following hierarchies appeared the given number of times: "
+                                f"{', '.join([f'{hier}: {num_times}' for hier, num_times in hierarchies_appearing_multiple_times])}.")
+        error_second_part = ""
+        if hierarchies_with_unrecognized_accession:
+            error_second_part = ("Each BRITE hierarchy accession is expected to have an accession formatted 'koXXXXX', where 'XXXXX' are five digits, "
+                                 f"but the following hierarchies did not have this format: {', '.join(hierarchies_with_unrecognized_accession)}.")
+        if hierarchies_appearing_multiple_times or hierarchies_with_unrecognized_accession:
+            raise ConfigError("Please contact the developers to look into the following error. "
+                              f"{error_first_part}{' ' if error_first_part and error_second_part else ''}{error_second_part}")
+
+        self.progress.end()
+
+
+    def download_kegg_module_file(self):
+        """This function downloads the KEGG module file, which tells us which module files to download."""
 
         # download the kegg module file, which lists all modules
         try:
@@ -682,13 +938,19 @@ def download_modules(self):
                               "a fixable issue. If it isn't, we may be able to provide you with a legacy KEGG "
                               "data archive that you can use to setup KEGG with the --kegg-archive flag.")
 
-        # get module dict
-        self.process_module_file()
-        self.run.info("Number of KEGG Modules", len(self.module_dict.keys()))
+
+    def download_modules(self):
+        """This function downloads the KEGG modules.
+
+        To verify that each file has been downloaded properly, we check that the last line is '///'.
+        """
+
+        self.run.info("KEGG Module Database URL", self.kegg_rest_api_get)
+        self.run.info("Number of KEGG Modules to download", len(self.module_dict.keys()))
 
         # download all modules
         for mnum in self.module_dict.keys():
-            file_path = os.path.join(self.module_data_dir, mnum)
+            file_path = os.path.join(self.kegg_module_data_dir, mnum)
             utils.download_file(self.kegg_rest_api_get + '/' + mnum,
                 file_path, progress=self.progress, run=self.run)
             # verify entire file has been downloaded
@@ -704,6 +966,25 @@ def download_modules(self):
                                   % (file_path, last_line))
 
 
+    def confirm_downloaded_modules(self):
+        """This function verifies that all module files have been downloaded.
+
+        It checks that there is a module file for every module in the self.module_dict dictionary;
+        for that reason, it must be called after the function that creates that attribute,
+        process_module_file(), has already been called.
+        """
+
+        for mnum in self.module_dict.keys():
+            file_path = os.path.join(self.kegg_module_data_dir, mnum)
+            if not os.path.exists(file_path):
+                raise ConfigError(f"The module file for {mnum} does not exist at its expected location, {file_path}. "
+                                  f"This probably means that something is wrong with your downloaded data, since this "
+                                  f"module is present in the KEGG MODULE file that lists all modules you *should* have "
+                                  f"on your computer. Very sorry to tell you this, but you need to re-download the KEGG "
+                                  f"data. We recommend the --reset flag.")
+        self.run.info("Number of module files found", len(self.module_dict))
+
+
     def download_pathways(self):
         """This function downloads the KEGG Pathways.
 
@@ -746,6 +1027,70 @@ def download_pathways(self):
                                   % (file_path, last_line))
 
 
+    def download_brite_hierarchy_of_hierarchies(self):
+        """Download a json file of 'br08902', a "hierarchy of BRITE hierarchies."
+
+        This hierarchy contains the names of other hierarchies which are subsequently used for
+        downloading those hierarchy json files.
+        """
+
+        # note that this is the same as the REST API for modules and pathways - perhaps at some point this should be printed elsewhere so we don't repeat ourselves.
+        self.run.info("KEGG BRITE Database URL", self.kegg_rest_api_get)
+
+        try:
+            utils.download_file(self.kegg_brite_hierarchies_download_path, self.kegg_brite_hierarchies_file, progress=self.progress, run=self.run)
+        except Exception as e:
+            print(e)
+            raise ConfigError("Anvi'o failed to download the KEGG BRITE hierarchies json file from the KEGG website. "
+                              "Something likely changed on the KEGG end. Please contact the developers to see if this is "
+                              "a fixable issue. If it isn't, we may be able to provide you with a legacy KEGG "
+                              "data archive that you can use to setup KEGG with the --kegg-archive flag.")
+
+
+    def download_brite_hierarchies(self):
+        """This function downloads a json file for every BRITE hierarchy of interest.
+
+        Hierarchies of interest classify genes/proteins and have accessions starting with 'ko'.
+        """
+
+        self.run.info("Number of BRITE hierarchies to download", len(self.brite_dict))
+        unexpected_hierarchies = []
+        for hierarchy in self.brite_dict:
+            hierarchy_accession = hierarchy[: 7]
+            brite_system = hierarchy_accession[: 2]
+            if brite_system != 'ko':
+                unexpected_hierarchies.append(hierarchy)
+            if not unexpected_hierarchies:
+                file_path = os.path.join(self.brite_data_dir, hierarchy_accession)
+                utils.download_file(self.kegg_rest_api_get + '/br:' + hierarchy_accession + '/json',
+                                    file_path, progress=self.progress, run=self.run)
+                # verify that the whole json file was downloaded
+                filesnpaths.is_file_json_formatted(file_path)
+        if unexpected_hierarchies:
+            raise ConfigError("Accessions for BRITE hierarchies of genes/proteins should begin with 'ko'. "
+                              f"Hierarchies were found that defy our assumptions; please contact a developer to investigate this: '{', '.join(unexpected_hierarchies)}'.")
+
+
+    def confirm_downloaded_brite_hierarchies(self):
+        """This function verifies that all BRITE hierarchy files have been downloaded.
+
+        It checks that there is a hierarchy file for every hierarchy in the self.brite_dict dictionary;
+        for that reason, it must be called after the function that creates that attribute,
+        process_brite_hierarchy_of_hierarchies(), has already been called.
+        """
+
+        for hierarchy in self.brite_dict.keys():
+            hierarchy_accession = hierarchy[: 7]
+            file_path = os.path.join(self.brite_data_dir, hierarchy_accession)
+            if not os.path.exists(file_path):
+                raise ConfigError(f"The BRITE hierarchy file for {hierarchy} does not exist at its expected location, {file_path}. "
+                                  f"This probably means that something is wrong with your downloaded data, since this "
+                                  f"hierarchy is present in the file that lists all BRITE hierarchies you *should* have "
+                                  f"on your computer. Very sorry to tell you this, but you need to re-download the KEGG "
+                                  f"data. We recommend the --reset flag.")
+        self.run.info("Number of BRITE hierarchy files found", len(self.brite_dict))
+
+
     def decompress_files(self):
         """This function decompresses the Kofam profiles."""
 
@@ -766,8 +1111,10 @@ def decompress_files(self):
     def confirm_downloaded_profiles(self):
         """This function verifies that all Kofam profiles have been properly downloaded.
 
-        It is intended to be run after the files have been decompressed. The profiles directory should contain hmm files from K00001.hmm to
-        K23763.hmm with some exceptions; all KO numbers from ko_list file (except those in ko_skip_list) should be included.
+        It is intended to be run after the files have been decompressed. The profiles directory should contain hmm files (ie, K00001.hmm);
+        all KO numbers from the ko_list file (except those in ko_skip_list) should be included.
+
+        This function must be called after setup_ko_dict() so that the self.ko_dict attribute is established.
         """
 
         ko_nums = self.ko_dict.keys()
@@ -861,7 +1208,7 @@ def run_hmmpress(self):
 
         self.progress.update('Running hmmpress...')
         cmd_line = ['hmmpress', self.kofam_hmm_file_path]
-        log_file_path = os.path.join(self.hmm_data_dir, '00_hmmpress_log.txt')
+        log_file_path = os.path.join(self.kegg_hmm_data_dir, '00_hmmpress_log.txt')
         ret_val = utils.run_command(cmd_line, log_file_path)
 
         if ret_val:
@@ -874,19 +1221,63 @@ def run_hmmpress(self):
         self.progress.end()
 
 
-    def setup_modules_db(self):
-        """This function creates the Modules DB from the KEGG Module files."""
+    def create_user_modules_dict(self):
+        """This function establishes the self.module_dict parameter for user modules.
+
+        It is essentially a replacement for the process_module_file() function.
+        Since users will not have a modules file to process, we simply create the dictionary from the
+        file names they provide for their module definitions. We don't add any dictionary values,
+        but we won't need them (we hope).
+        """
+
+        user_module_list = [os.path.basename(k) for k in glob.glob(os.path.join(self.user_module_data_dir, '*'))]
+        self.module_dict = {key: {} for key in user_module_list}
 
+        # sanity check that they also have KEGG data since we need to compare module names
+        if not os.path.exists(self.kegg_modules_db_path):
+            raise ConfigError(f"Wait a second. We understand that you are setting up user-defined metabolism data, but "
+                              f"unfortunately you need to FIRST have KEGG data set up on your computer. Why, you ask? "
+                              f"Well, one reason is that we always use KEGG data first when estimating metabolism. And "
+                              f"the other reason is that we need to make sure none of your module names overlap with those "
+                              f"in the KEGG MODULES database. Long story short, we looked for KEGG data at "
+                              f"{self.kegg_modules_db_path} but we couldn't find it. If this is the wrong place for us to be "
+                              f"looking, please run this program again and use the --kegg-data-dir parameter to tell us where "
+                              f"to find it.")
+
+        # sanity check that user module names are distinct
+        kegg_modules_db = ModulesDatabase(self.kegg_modules_db_path, args=self.args, quiet=True)
+        kegg_mods = set(kegg_modules_db.get_all_modules_as_list())
+        user_mods = set(user_module_list)
+        bad_user_mods = kegg_mods.intersection(user_mods)
+        if bad_user_mods:
+            bad_mods_str = ", ".join(bad_user_mods)
+            n = len(bad_user_mods)
+            raise ConfigError(f"Hol'up a minute. You see, there {P('is a module', n, alt='are some modules')} "
+                              f"in your user-defined modules data (at {self.user_module_data_dir}) which {P('has', n, alt='have')} "
+                              f"the same name as an existing KEGG module. This is not allowed, for reasons. Please name {P('that module', n, alt='those modules')} "
+                              f"differently. Append an underscore and your best friend's name to {P('it', n, alt='them')} or something. Just make sure it's "
+                              f"unique. OK? ok. Here is the list of module names you should change: {bad_mods_str}")
+
+
+    def setup_modules_db(self, db_path, module_data_directory, brite_data_directory=None, source='KEGG', skip_brite_hierarchies=False):
+        """This function creates a Modules DB at the specified path."""
+
+        if filesnpaths.is_file_exists(db_path, dont_raise=True):
+            if self.overwrite_modules_db:
+                os.remove(db_path)
+            else:
+                raise ConfigError(f"Woah there. There is already a modules database at {db_path}. If you really want to make a new modules database "
+                                  f"in this folder, you should either delete the existing database yourself, or re-run this program with the "
+                                  f"--overwrite-output-destinations flag. But the old database will go away forever in that case. Just making "
+                                  f"sure you are aware of that, so that you have no regrets.")
         try:
-            mod_db = KeggModulesDatabase(self.kegg_modules_db_path, args=self.args, module_dictionary=self.module_dict, pathway_dictionary=self.pathway_dict, run=run, progress=progress)
+            mod_db = ModulesDatabase(db_path, module_data_directory=module_data_directory, brite_data_directory=brite_data_directory, data_source=source, args=self.args, module_dictionary=self.module_dict, pathway_dictionary=self.pathway_dict, brite_dictionary=self.brite_dict, skip_brite_hierarchies=skip_brite_hierarchies, run=run, progress=progress)
             mod_db.create()
         except Exception as e:
             print(e)
             raise ConfigError("While attempting to build the MODULES.db, anvi'o encountered an error, which should be printed above. "
                               "If you look at that error and it seems like something you cannot handle, please contact the developers "
-                              "for assistance, as it may be possible that a recent update to KEGG has broken our setup process. If that "
-                              "is the case, we may be able to provide you with a legacy KEGG data archive that you can use to set up "
-                              "KEGG with the --kegg-archive flag, while we try to fix things. :) ")
+                              "for assistance. :) ")
 
 
     def kegg_archive_is_ok(self, unpacked_archive_path):
@@ -908,23 +1299,21 @@ def kegg_archive_is_ok(self, unpacked_archive_path):
         # check top-level files and folders
         path_to_kegg_in_archive = os.path.join(unpacked_archive_path, "KEGG")
         expected_directories_and_files = [self.orphan_data_dir,
-                                          self.module_data_dir,
-                                          self.hmm_data_dir,
-                                          #self.pathway_data_dir,   #TODO: uncomment me when we start incorporating pathways
+                                          self.kegg_module_data_dir,
+                                          self.kegg_hmm_data_dir,
                                           self.ko_list_file_path,
                                           self.kegg_module_file,
-                                          #self.kegg_pathway_file,  #TODO: uncomment me when we start incorporating pathways
                                           self.kegg_modules_db_path]
         for f in expected_directories_and_files:
             path_to_f_in_archive = os.path.join(path_to_kegg_in_archive, os.path.basename(f))
             if not os.path.exists(path_to_f_in_archive):
                 is_ok = False
                 if anvio.DEBUG:
-                    self.run.warning("The KEGG archive does not contain the folllowing expected file or directory: %s"
+                    self.run.warning("The KEGG archive does not contain the following expected file or directory: %s"
                                      % (path_to_f_in_archive))
 
         # check hmm files
-        path_to_hmms_in_archive = os.path.join(path_to_kegg_in_archive, os.path.basename(self.hmm_data_dir))
+        path_to_hmms_in_archive = os.path.join(path_to_kegg_in_archive, os.path.basename(self.kegg_hmm_data_dir))
         kofam_hmm_basename = os.path.basename(self.kofam_hmm_file_path)
         expected_hmm_files = [kofam_hmm_basename]
         for h in expected_hmm_files:
@@ -946,6 +1335,27 @@ def kegg_archive_is_ok(self, unpacked_archive_path):
         return is_ok
 
 
+    def check_archive_for_brite(self, unpacked_archive_path):
+        """Check the archive for the BRITE directory and 'hierarchy of hierarchies' json file.
+
+        It is ok for archives not to have these present, but let the user know.
+        """
+
+        is_brite_included = True
+
+        path_to_kegg_in_archive = os.path.join(unpacked_archive_path, "KEGG")
+        brite_directories_and_files = [self.brite_data_dir,
+                                       self.kegg_brite_hierarchies_file]
+        for f in brite_directories_and_files:
+            path_to_f_in_archive = os.path.join(path_to_kegg_in_archive, os.path.basename(f))
+            if not os.path.exists(path_to_f_in_archive) and not self.skip_brite_hierarchies:
+                is_brite_included = False
+                if anvio.DEBUG:
+                    self.run.warning(f"The KEGG archive does not contain the following optional BRITE file or directory: {path_to_f_in_archive}")
+
+        return is_brite_included
+
+
     def check_modules_db_version(self):
         """This function checks if the MODULES.db is out of date and if so warns the user to migrate it"""
 
@@ -958,7 +1368,7 @@ def check_modules_db_version(self):
         target_version = int(anvio.tables.versions_for_db_types['modules'])
         if current_db_version != target_version:
             self.run.warning(f"Just so you know, the KEGG archive that was just set up contains an outdated MODULES.db (version: "
-                             "{current_db_version}). You may want to run `anvi-migrate` on this database before you do anything else. "
+                             f"{current_db_version}). You may want to run `anvi-migrate` on this database before you do anything else. "
                              f"Here is the path to the database: {self.kegg_modules_db_path}")
 
 
@@ -979,21 +1389,20 @@ def setup_from_archive(self):
 
         self.progress.update('Checking KEGG archive structure and contents...')
         archive_is_ok = self.kegg_archive_is_ok(unpacked_archive_name)
+        archive_contains_brite = self.check_archive_for_brite(unpacked_archive_name)
         self.progress.end()
         if archive_is_ok:
-            if os.path.exists(self.kegg_data_dir) and self.kegg_data_dir != self.default_kegg_dir:
-                raise ConfigError("You are attempting to set up KEGG from a KEGG data archive in a non-default data directory (%s) which already exists. "
-                                  "To avoid automatically deleting a directory that may be important to you, anvi'o refuses to get rid of "
-                                  "directories that have been specified with --kegg-data-dir. If you really want to get rid of this "
-                                  "directory and replace it with the KEGG archive data, then please remove the directory yourself using "
-                                  "a command like `rm -r %s`. We are sorry to make you go through this extra trouble, but it really is "
-                                  "the safest way to handle things." % (self.kegg_data_dir, self.kegg_data_dir))
-            elif os.path.exists(self.kegg_data_dir):
+            if os.path.exists(self.kegg_data_dir):
                 shutil.rmtree(self.kegg_data_dir)
             path_to_kegg_in_archive = os.path.join(unpacked_archive_name, "KEGG")
             shutil.move(path_to_kegg_in_archive, self.kegg_data_dir)
             shutil.rmtree(unpacked_archive_name)
 
+            if not archive_contains_brite and not self.skip_brite_hierarchies:
+                self.run.warning("The KEGG data archive does not contain the necessary files to set up BRITE hierarchy classification. "
+                                 "This is not a problem, and KEGG set up proceeded without it. BRITE is guaranteed to be set up when "
+                                 "downloading the latest version of KEGG with `anvi-setup-kegg-kofams -D`.")
+
             # if necessary, warn user about migrating the modules db
             self.check_modules_db_version()
 
@@ -1038,24 +1447,52 @@ def setup_kegg_snapshot(self):
                              "has been kept. You may want to remove it later.")
 
 
-    def setup_data(self):
-        """This is a driver function which executes the KEGG setup process.
+    def setup_user_data(self):
+        """This function sets up user metabolism data from the provided input directory.
 
-        It downloads, decompresses, and hmmpresses the KOfam profiles.
-        It also downloads and processes the KEGG Module files into the MODULES.db.
+        It processes the user's module files into the USER_MODULES.db.
         """
 
+        self.create_user_modules_dict()
+        self.setup_modules_db(db_path=self.user_modules_db_path, module_data_directory=self.user_module_data_dir, source='USER', skip_brite_hierarchies=True)
+
+
+    def setup_data(self):
+        """This is a driver function which executes the KEGG setup process."""
+
         if self.kegg_archive_path:
             self.setup_from_archive()
+
         elif self.download_from_kegg:
             # mostly for developers and the adventurous
-            self.download_profiles()
-            self.decompress_files()
-            self.download_modules()
-            #self.download_pathways()   # This is commented out because we do not do anything with pathways downstream, but we will in the future.
-            self.setup_ko_dict()
-            self.run_hmmpress()
-            self.setup_modules_db()
+            if not self.only_database:
+                # this downloads, decompresses, and hmmpresses the KOfam profiles
+                self.download_profiles()
+                self.decompress_files()
+                self.setup_ko_dict() # get ko dict attribute
+                self.run_hmmpress()
+                # it also downloads and processes the KEGG Module files into the MODULES.db
+                self.download_kegg_module_file()
+                self.process_module_file() # get module dict attribute
+                self.download_modules()
+                if not self.skip_brite_hierarchies:
+                    self.download_brite_hierarchy_of_hierarchies()
+                    self.process_brite_hierarchy_of_hierarchies() # get brite dict attribute
+                    self.download_brite_hierarchies()
+            else:
+                # get required attributes for database setup and make sure all expected files were downloaded
+                self.process_module_file()
+                self.confirm_downloaded_modules()
+                if not self.skip_brite_hierarchies:
+                    self.process_brite_hierarchy_of_hierarchies()
+                    self.confirm_downloaded_brite_hierarchies()
+
+            if not self.only_download:
+                self.setup_modules_db(db_path=self.kegg_modules_db_path, module_data_directory=self.kegg_module_data_dir, brite_data_directory=self.brite_data_dir, skip_brite_hierarchies=self.skip_brite_hierarchies)
+
+        elif self.user_input_dir:
+            self.setup_user_data()
+
         else:
             # the default, set up from frozen KEGG release
             self.setup_kegg_snapshot()
@@ -1084,6 +1521,7 @@ def __init__(self, args, run=run, progress=progress):
         self.skip_bitscore_heuristic = True if A('skip_bitscore_heuristic') else False
         self.bitscore_heuristic_e_value = A('heuristic_e_value')
         self.bitscore_heuristic_bitscore_fraction = A('heuristic_bitscore_fraction')
+        self.skip_brite_hierarchies = A('skip_brite_hierarchies')
         self.ko_dict = None # should be set up by setup_ko_dict()
 
         # init the base class
@@ -1096,14 +1534,19 @@ def __init__(self, args, run=run, progress=progress):
             raise ConfigError("Anvi'o is unable to find the Kofam.hmm file at %s. This can happen one of two ways. Either you "
                               "didn't specify the correct KEGG data directory using the flag --kegg-data-dir, or you haven't "
                               "yet set up the Kofam data by running `anvi-setup-kegg-kofams`. Hopefully you now know what to do "
-                              "to fix this problem. :) " % self.hmm_data_dir)
+                              "to fix this problem. :) " % self.kegg_hmm_data_dir)
 
         utils.is_contigs_db(self.contigs_db_path)
 
         self.setup_ko_dict() # read the ko_list file into self.ko_dict
 
         # load existing kegg modules db
-        self.kegg_modules_db = KeggModulesDatabase(self.kegg_modules_db_path, args=self.args)
+        self.kegg_modules_db = ModulesDatabase(self.kegg_modules_db_path, module_data_directory=self.kegg_module_data_dir, brite_data_directory=self.brite_data_dir, skip_brite_hierarchies=self.skip_brite_hierarchies, args=self.args)
+
+        if not self.skip_brite_hierarchies and not self.kegg_modules_db.db.get_meta_value('is_brite_setup'):
+            self.run.warning("The KEGG Modules database does not contain BRITE hierarchy data, "
+                             "which could very well be useful to you. BRITE is guaranteed to be set up "
+                             "when downloading the latest version of KEGG with `anvi-setup-kegg-kofams -D`.")
 
         # reminder to be a good citizen
         self.run.warning("Anvi'o will annotate your database with the KEGG KOfam database, as described in "
@@ -1196,6 +1639,7 @@ def parse_kofam_hits(self, hits_dict):
         self.functions_dict = {}
         self.kegg_module_names_dict = {}
         self.kegg_module_classes_dict = {}
+        self.kegg_brite_categorizations_dict = {}
         self.gcids_to_hits_dict = {}
         self.gcids_to_functions_dict = {}
         counter = 0
@@ -1282,6 +1726,12 @@ def parse_kofam_hits(self, hits_dict):
                         'e_value': None,
                     }
 
+                if not self.skip_brite_hierarchies:
+                    # get BRITE categorization information in the form to be added to the contigs database
+                    ortholog_categorizations_dict = self.get_ortholog_categorizations_dict(knum, gcid)
+                    if ortholog_categorizations_dict:
+                        self.kegg_brite_categorizations_dict[counter] = ortholog_categorizations_dict
+
                 counter += 1
             else:
                 num_hits_removed += 1
@@ -1406,6 +1856,12 @@ def update_dict_for_genes_with_missing_annotations(self, gcids_list, hits_dict,
                                 'e_value': None,
                             }
 
+                            if not self.skip_brite_hierarchies:
+                                # get BRITE categorization information in the form to be added to the contigs database
+                                ortholog_categorizations_dict = self.get_ortholog_categorizations_dict(knum, gcid)
+                                if ortholog_categorizations_dict:
+                                    self.kegg_brite_categorizations_dict[next_key] = ortholog_categorizations_dict
+
                         next_key += 1
                         num_annotations_added += 1
 
@@ -1414,6 +1870,48 @@ def update_dict_for_genes_with_missing_annotations(self, gcids_list, hits_dict,
         self.run.info("Total number of hits in annotation dictionary after adding these back", len(self.functions_dict.keys()))
 
 
+    def get_ortholog_categorizations_dict(self, ortholog_accession, gene_callers_id=None):
+        """Return a dictionary of ortholog BRITE categorizations.
+
+        The dictionary is formatted to represent a row of the `gene_functions` table in the contigs database.
+        """
+
+        ortholog_brite_dict = self.kegg_modules_db.get_ortholog_brite_categorizations(ortholog_accession)
+        if not ortholog_brite_dict:
+            return None
+
+        # the following explains the format of BRITE "accession" and "function" entries in the
+        # table. Orthologs can be in multiple hierarchies, and can be categorized in a hierarchy
+        # multiple times. Each categorization of the ortholog in a hierarchy is separated by "!!!",
+        # and each category in the categorization is separated by ">>>". The hierarchy name is
+        # placed at the beginning of each categorization. Perhaps the name of hierarchy "ko00001",
+        # which is "KEGG Orthology (KO)", should not be placed at the beginning of categorizations
+        # due to its uninformativeness, but for the sake of consistency, the format is maintained
+        # for this hierarchy. For example, "K01647 citrate synthase" produces the following
+        # "accession" and "function" strings:
+        # "ko00001!!!ko00001!!!ko01000"
+        # "KEGG Orthology (KO)>>>09100 Metabolism>>>09101 Carbohydrate metabolism>>>00020 Citrate cycle (TCA cycle)!!!
+        #  KEGG Orthology (KO)>>>09100 Metabolism>>>09101 Carbohydrate metabolism>>>00630 Glyoxylate and dicarboxylate metabolism!!!
+        #  Enzymes>>>2. Transferases>>>2.3 Acyltransferases>>>2.3.3 Acyl groups converted into alkyl groups on transfer>>>2.3.3.1 citrate (Si)-synthase"
+        hierarchy_accession = ""
+        categorizations = ""
+        categorization_dicts = list(ortholog_brite_dict.values())
+        for categorization_dict in categorization_dicts[: -1]:
+            hierarchy_accession += f"{categorization_dict['hierarchy_accession']}!!!"
+            categorizations += f"{categorization_dict['hierarchy_name']}>>>{categorization_dict['categorization']}!!!"
+        last_categorization_dict = categorization_dicts[-1]
+        hierarchy_accession += last_categorization_dict['hierarchy_accession']
+        categorizations += f"{last_categorization_dict['hierarchy_name']}>>>{last_categorization_dict['categorization']}"
+
+        ortholog_categorizations_dict = {'gene_callers_id': gene_callers_id,
+                                         'source': 'KEGG_BRITE',
+                                         'accession': hierarchy_accession,
+                                         'function': categorizations,
+                                         'e_value': None}
+
+        return ortholog_categorizations_dict
+
+
     def store_annotations_in_db(self):
         """Takes the dictionary of function annotations (already parsed, if necessary) and puts them in the DB.
 
@@ -1430,6 +1928,8 @@ def store_annotations_in_db(self):
                 gene_function_calls_table.create(self.kegg_module_names_dict)
             if self.kegg_module_classes_dict:
                 gene_function_calls_table.create(self.kegg_module_classes_dict)
+            if self.kegg_brite_categorizations_dict:
+                gene_function_calls_table.create(self.kegg_brite_categorizations_dict)
         else:
             self.run.warning("There are no KOfam hits to add to the database. Returning empty handed, "
                              "but still adding KOfam as a functional source.")
@@ -1525,6 +2025,7 @@ class is nothing but one that iterates through all contigs DBs
         self.json_output_file_path = A('get_raw_data_as_json')
         self.store_json_without_estimation = True if A('store_json_without_estimation') else False
         self.estimate_from_json = A('estimate_from_json') or None
+        self.enzymes_txt = A('enzymes_txt') or None
         self.output_modes = A('output_modes') or "modules"
         self.custom_output_headers = A('custom_output_headers') or None
         self.matrix_format = True if A('matrix_format') else False
@@ -1532,6 +2033,8 @@ class is nothing but one that iterates through all contigs DBs
         self.exclude_zero_modules = False if A('include_zeros') else True
         self.only_complete = True if A('only_complete') else False
         self.add_coverage = True if A('add_coverage') else False
+        self.add_copy_number = True if A('add_copy_number') else False
+        self.exclude_kos_no_threshold = False if A('include_kos_not_in_kofam') else True
         self.module_specific_matrices = A('module_specific_matrices') or None
         self.no_comments = True if A('no_comments') else False
         self.external_genomes_file = A('external_genomes') or None
@@ -1546,6 +2049,10 @@ class is nothing but one that iterates through all contigs DBs
         if A('module_completion_threshold') == 0:
             self.module_completion_threshold = 0.0
 
+        # we use the below flag to find out if long format output was explicitly requested
+        # this gets around the fact that we always assign 'modules' as the default output mode
+        self.long_format_mode = True if args.output_modes else False
+
         # output modes and headers that we can handle
         self.available_modes = OUTPUT_MODES
         self.available_headers = OUTPUT_HEADERS
@@ -1564,12 +2071,6 @@ class is nothing but one that iterates through all contigs DBs
         # parse requested output headers if necessary
         if self.custom_output_headers and isinstance(self.custom_output_headers, str):
             self.custom_output_headers = self.custom_output_headers.split(",")
-
-            if "unique_id" not in self.custom_output_headers:
-                self.custom_output_headers = ["unique_id"] + self.custom_output_headers
-            elif self.custom_output_headers.index("unique_id") != 0:
-                self.custom_output_headers.remove("unique_id")
-                self.custom_output_headers = ["unique_id"] + self.custom_output_headers
             self.available_modes['modules_custom']['headers'] = self.custom_output_headers
 
         # parse specific matrix modules if necessary
@@ -1606,6 +2107,14 @@ def init_data_from_modules_db(self):
 
         We do this once at the start so as to reduce the number of on-the-fly database queries
         that have to happen during the estimation process.
+
+        ## KEYS ADDED TO SELF.ALL_MODULES_IN_DB DICTIONARY
+        * all keys from modules table in database, ie DEFINITION, CLASS, etc
+        'MODULES_DB_SOURCE'         which database this module belongs to ("KEGG" for KEGG modules, "USER" for user-defined modules)
+        'substrate_list'            list of substrate compounds (inputs to the module)
+        'intermediate_list'         list of intermediate compounds
+        'product_list'              list of product compounds (outputs of the module)
+        'top_level_steps'           list of top-level steps in the module DEFINITION
         """
 
         self.all_modules_in_db = {}
@@ -1629,6 +2138,9 @@ def init_data_from_modules_db(self):
                 # initialize module paths into self.module_paths_dict
                 self.module_paths_dict[mod] = self.init_paths_for_module(mod, mod_db=self.kegg_modules_db)
 
+                # initialize top-level steps into self.all_modules_in_db
+                self.all_modules_in_db[mod]['top_level_steps'] = self.kegg_modules_db.get_top_level_steps_in_module_definition(mod)
+
             self.kegg_modules_db.disconnect()
 
         # LOAD USER DATA (MODULES)
@@ -1658,6 +2170,9 @@ def init_data_from_modules_db(self):
                 # initialize module paths into self.module_paths_dict
                 self.module_paths_dict[mod] = self.init_paths_for_module(mod, mod_db=self.user_modules_db)
 
+                # initialize top-level steps into self.all_modules_in_db
+                self.all_modules_in_db[mod]['top_level_steps'] = self.user_modules_db.get_top_level_steps_in_module_definition(mod)
+
             self.user_modules_db.disconnect()
 
         # INIT ENZYMES
@@ -1670,7 +2185,8 @@ def init_data_from_modules_db(self):
             for k in ko_list:
                 if k not in self.all_kos_in_db:
                     src = self.all_modules_in_db[mod]['ANNOTATION_SOURCE'][k] if 'ANNOTATION_SOURCE' in self.all_modules_in_db[mod] else 'KOfam'
-                    self.all_kos_in_db[k] = {'modules': [], 'annotation_source': src}
+                    func = self.all_modules_in_db[mod]['ORTHOLOGY'][k] if 'ORTHOLOGY' in self.all_modules_in_db[mod] else 'UNKNOWN'
+                    self.all_kos_in_db[k] = {'modules': [], 'annotation_source': src, 'function': func}
                 self.all_kos_in_db[k]['modules'].append(mod)
 
 
@@ -1708,6 +2224,47 @@ def init_paths_for_module(self, mnum, mod_db=None):
         return mod_db.unroll_module_definition(mnum, def_lines=module_definition)
 
 
+    def split_module_path_into_individual_essential_components(self, path):
+        """Given a list of atomic steps in a module, this function returns a list of each essential individual enzyme.
+
+        When an atomic step is an enzyme complex (ie K01657+K01658), we need to split the complex into its individual components
+        When an atomic step contains non-ssential components (ie K00765-K02502), we need to remove the nonessential components from the list
+        When there are both nonessential and essential components, we need to remove the non-essential ones first and then split the essential ones
+
+        PARAMETERS
+        ==========
+        path : list
+            Each element in list is an atomic step, which can include enzyme complexes and non-essential components
+
+        RETURNS
+        ==========
+        new_path : list
+            Each element in list is a single enzyme
+        """
+
+        new_path = []
+        for x in path:
+            if '+' and '-' in x:
+                # first remove the nonessentials, then add in the essential components
+                idx_of_nonessential = x.index('-')
+                new_x = x[:idx_of_nonessential]
+                individual_components = new_x.split('+')
+                new_path.extend(individual_components)
+            elif '+' in x:
+                # split essential components and add individually to list
+                individual_components = x.split('+')
+                new_path.extend(individual_components)
+            elif '-' in x and x != '--':
+                # remove nonessentials
+                idx_of_nonessential = x.index('-')
+                new_x = x[:idx_of_nonessential]
+                new_path.append(new_x)
+            else:
+                new_path.append(x)
+
+        return new_path
+
+
     def get_enzymes_from_module_definition_in_order(self, mod_definition):
         """Given a module DEFINITION string, this function parses out the enzyme accessions in order of appearance.
 
@@ -1723,9 +2280,8 @@ def get_enzymes_from_module_definition_in_order(self, mod_definition):
         if isinstance(mod_definition, list):
             mod_definition = " ".join(mod_definition)
 
-        # anything that is not (),-+ should be converted to spaces, then we can split on the spaces to get the accessions
-        mod_definition = re.sub('[\(\)\+\-,]', ' ', mod_definition).strip()
-        acc_list = re.split(r'\s+', mod_definition)
+        acc_list = module_definition_to_enzyme_accessions(mod_definition)
+
         # remove anything that is not an enzyme and sanity check for weird characters
         mods_to_remove = set()
         for a in acc_list:
@@ -1744,6 +2300,67 @@ def get_enzymes_from_module_definition_in_order(self, mod_definition):
         return acc_list
 
 
+    def remove_nonessential_enzymes_from_module_step(self, step_string):
+        """This functions removes nonessential enzymes from a step definition string and returns the resulting definition.
+
+        It is intended to be called on top-level steps of a module definition (not on the full module definition).
+
+        A nonessential enzyme is any accession (ie, '-K11024') or group of accessions (ie, -(K00242,K18859,K18860))
+        that is marked with a leading '-' character. This function finds the '-' characters in the given string and
+        removes any subsequent accessions. The resulting definition with only essential components is returned.
+
+        If a step does not contain nonessential enzymes, the original definition is returned.
+
+        Likewise, '--' is a special case containing the '-' character which actually indicates a step that has no enzyme profile.
+        It seems to always be present as its own step (ie, '--' is the entire step definition string), so we return the original
+        definition in this case. However, in case there is an internal '--' within a more complicated definition, this function
+        ignores the part of the string that includes it and processes the remainder of the string before re-joining the two parts.
+        It is not able to do this for steps with more than one internal '--', which would require multiple splits and joins, so
+        this case results in an error.
+
+        PARAMETERS
+        ==========
+        step_string: str
+            A string containing the definition of one step from a module
+
+        RETURNS
+        =======
+        step_string: str
+            The same string, with nonessential enzyme accessions (if any) removed.
+        """
+
+        if step_string != '--' and '-' in step_string:
+            saw_double_dash = False             # a Boolean to indicate if we found '--' within the step definition
+            str_prior_to_double_dash = None     # if we find '--', this variable stores the string that occurs prior to and including this '--'
+            while '-' in step_string:
+                idx = step_string.index('-')
+                if step_string[idx+1] == '-': # internal '--' case
+                    if saw_double_dash:
+                        raise ConfigError("Unfortunately, a step containing >1 internal instances of '--' was passed to the function "
+                                          "remove_nonessential_enzymes_from_module_step(). This function is not currently able to handle this "
+                                          "situation. Please contact a developer and ask them to turn this into a smarter function. :) ")
+                    saw_double_dash = True
+                    str_prior_to_double_dash = step_string[:idx+2]
+                    step_string = step_string[idx+2:] # continue processing the remainder of the string
+                    continue
+                elif step_string[idx+1] == '(': # group to eliminate
+                    parens_index = idx+1
+                    while step_string[parens_index] != ')':
+                        parens_index += 1
+                    step_string = step_string[:idx] + step_string[parens_index+1:]
+                else: # single non-essential enzyme
+                    punctuation_index = idx+1
+                    while punctuation_index < len(step_string) and step_string[punctuation_index] not in [')','(','+',' ',',']:
+                        punctuation_index += 1
+                    step_string = step_string[:idx] + step_string[punctuation_index:]
+
+            # if we found an internal '--', we put the two pieces of the definition back together
+            if saw_double_dash:
+                step_string = str_prior_to_double_dash + step_string
+
+        return step_string.strip()
+
+
     def get_module_metadata_dictionary(self, mnum):
         """Returns a dictionary of metadata for the given module.
 
@@ -1770,7 +2387,7 @@ def get_module_metadata_dictionary(self, mnum):
         return metadata_dict
 
 
-    def get_ko_metadata_dictionary(self, knum):
+    def get_ko_metadata_dictionary(self, knum, dont_fail_if_not_found=False):
         """Returns a dictionary of metadata for the given KO.
 
         The dictionary must include all the metadata from KO_METADATA_HEADERS,
@@ -1790,14 +2407,25 @@ def get_ko_metadata_dictionary(self, knum):
         else:
             mod_list_str = "None"
 
-        if knum not in self.ko_dict:
-            raise ConfigError("Something is mysteriously wrong. You are seeking metadata "
-                              f"for enzyme {knum} but this enzyme is not in "
-                              "the enzyme dictionary (self.ko_dict). This should never have happened.")
-
         metadata_dict = {}
-        metadata_dict["enzyme_definition"] = self.ko_dict[knum]['definition']
         metadata_dict["modules_with_enzyme"] = mod_list_str
+
+        if knum not in self.ko_dict:
+            # if we can't find the enzyme in the KO dictionary, try to find it in the database
+            if knum in self.all_kos_in_db and 'function' in self.all_kos_in_db[knum]:
+                metadata_dict["enzyme_definition"] = self.all_kos_in_db[knum]['function']
+            elif dont_fail_if_not_found:
+                self.run.warning(f"The enzyme {knum} was not found in the metabolism data, so we are unable to determine "
+                                 f"its functional annotation. You will see 'UNKNOWN' for this enzyme in any outputs describing "
+                                 f"its function.")
+                metadata_dict["enzyme_definition"] = "UNKNOWN"
+            else:
+                raise ConfigError("Something is mysteriously wrong. You are seeking metadata "
+                                  f"for enzyme {knum} but this enzyme is not in "
+                                  "the enzyme dictionary (self.ko_dict). This should never have happened.")
+        else:
+            metadata_dict["enzyme_definition"] = self.ko_dict[knum]['definition']
+
         return metadata_dict
 
 
@@ -1826,8 +2454,12 @@ def __init__(self, args, run=run, progress=progress):
 
         # This can be initialized later if necessary using init_gene_coverage()
         self.profile_db = None
+        # This can be initialized later if necessary by setup_ko_dict()
+        self.ko_dict = {}
 
+        # INIT BASE CLASSES
         KeggEstimatorArgs.__init__(self, self.args)
+        KeggContext.__init__(self, self.args)
 
         self.name_header = None
         if self.metagenome_mode:
@@ -1847,13 +2479,15 @@ def __init__(self, args, run=run, progress=progress):
         self.available_headers[self.name_header] = {
                                         'cdict_key': None,
                                         'mode_type' : 'all',
-                                        'description': "Name of genome/bin/metagenome in which we find KOfam hits and/or KEGG modules"
+                                        'description': "Name of genome/bin/metagenome in which we find gene annotations (hits) and/or modules"
                                         }
 
+        if self.enzymes_txt:
+            self.contigs_db_project_name = os.path.basename(self.enzymes_txt).replace(".", "_")
+
         # INPUT OPTIONS SANITY CHECKS
-        if not self.estimate_from_json and not self.contigs_db_path:
-            raise ConfigError("NO INPUT PROVIDED. You must provide (at least) a contigs database or genomes file to this program, unless you are using the --estimate-from-json "
-                              "flag, in which case you must provide a JSON-formatted file.")
+        if not self.estimate_from_json and not self.contigs_db_path and not self.enzymes_txt:
+            raise ConfigError("NO INPUT PROVIDED. Please use the `-h` flag to see possible input options.")
 
         if self.only_user_modules and not self.user_input_dir:
             raise ConfigError("You can only use the flag --only-user-modules if you provide a --user-modules directory.")
@@ -1868,7 +2502,6 @@ def __init__(self, args, run=run, progress=progress):
             filesnpaths.is_file_exists(self.bin_ids_file)
             self.bin_ids_to_process = [line.strip() for line in open(self.bin_ids_file).readlines()]
 
-
         if (self.bin_id or self.bin_ids_file or self.collection_name) and not self.profile_db_path:
             raise ConfigError("You have requested metabolism estimation for a bin or set of bins, but you haven't provided "
                               "a profiles database. Unfortunately, this just does not work. Please try again.")
@@ -1888,18 +2521,43 @@ def __init__(self, args, run=run, progress=progress):
         if self.profile_db_path:
             utils.is_profile_db_and_contigs_db_compatible(self.profile_db_path, self.contigs_db_path)
 
-        if self.add_coverage and not self.enzymes_txt:
-            if not self.profile_db_path:
-                raise ConfigError("Adding coverage values requires a profile database. Please provide one if you can. :)")
-            if utils.is_blank_profile(self.profile_db_path):
-                raise ConfigError("You have provided a blank profile database, which sadly will not contain any coverage "
-                                  "values, so the --add-coverage flag will not work.")
+        if self.add_coverage:
+            if not self.enzymes_txt:
+                if not self.profile_db_path:
+                    raise ConfigError("Adding coverage values requires a profile database. Please provide one if you can. :)")
+                if utils.is_blank_profile(self.profile_db_path):
+                    raise ConfigError("You have provided a blank profile database, which sadly will not contain any coverage "
+                                      "values, so the --add-coverage flag will not work.")
 
             self.add_gene_coverage_to_headers_list()
-        elif self.add_coverage and self.enzymes_txt:
-            pass # FIXME add mock sample to headers list
 
-        # output options sanity checks
+        if self.add_copy_number:
+            self.available_modes["module_paths"]["headers"].extend(["num_complete_copies_of_path"])
+            self.available_modes["module_steps"]["headers"].extend(["step_copy_number"])
+            self.available_modes["modules"]["headers"].extend(["pathwise_copy_number", "stepwise_copy_number", "per_step_copy_numbers"])
+            self.available_headers["num_complete_copies_of_path"] = {'cdict_key': None,
+                                                       'mode_type': 'modules',
+                                                       'description': "Number of complete copies of the path through the module"
+                                                       }
+            self.available_headers["step_copy_number"] = {'cdict_key': None,
+                                                       'mode_type': 'modules',
+                                                       'description': "Number of copies of the step"
+                                                       }
+            self.available_headers["pathwise_copy_number"] = {'cdict_key': None,
+                                                       'mode_type': 'modules',
+                                                       'description': "Pathwise module copy number, as in the maximum number of complete copies considering all the paths of highest completeness"
+                                                       }
+            self.available_headers["stepwise_copy_number"] = {'cdict_key': None,
+                                                       'mode_type': 'modules',
+                                                       'description': "Stepwise module copy number, as in the minimum copy number of all top-level steps in the module"
+                                                       }
+            self.available_headers["per_step_copy_numbers"] = {'cdict_key': None,
+                                                       'mode_type': 'modules',
+                                                       'description': "Number of copies of each top-level step in the module (the minimum of these is the stepwise module copy number)"
+                                                       }
+
+
+        # OUTPUT OPTIONS SANITY CHECKS
         if anvio.DEBUG:
             run.info("Output Modes", ", ".join(self.output_modes))
             run.info("Module completeness threshold", self.module_completion_threshold)
@@ -1948,30 +2606,24 @@ def __init__(self, args, run=run, progress=progress):
 
 
         # let user know what they told anvi'o to work on
-        self.run.info("Contigs DB", self.contigs_db_path, quiet=self.quiet)
-        self.run.info("Profile DB", self.profile_db_path, quiet=self.quiet)
-        self.run.info('Metagenome mode', self.metagenome_mode)
+        if self.contigs_db_path:
+            self.run.info("Contigs DB", self.contigs_db_path, quiet=self.quiet)
+        if self.profile_db_path:
+            self.run.info("Profile DB", self.profile_db_path, quiet=self.quiet)
         if self.collection_name:
-            self.run.info('Collection', self.collection_name)
+            self.run.info('Collection', self.collection_name, quiet=self.quiet)
         if self.bin_id:
-            self.run.info('Bin ID', self.bin_id)
+            self.run.info('Bin ID', self.bin_id, quiet=self.quiet)
         elif self.bin_ids_file:
-            self.run.info('Bin IDs file', self.bin_ids_file)
+            self.run.info('Bin IDs file', self.bin_ids_file, quiet=self.quiet)
+        if self.enzymes_txt:
+            self.run.info("Enzymes txt file", self.enzymes_txt, quiet=self.quiet)
 
+        self.run.info('Metagenome mode', self.metagenome_mode, quiet=self.quiet)
 
-        if not self.estimate_from_json:
-            utils.is_contigs_db(self.contigs_db_path)
 
-        # load existing kegg modules db
-        if not os.path.exists(self.kegg_modules_db_path):
-            raise ConfigError("It appears that a modules database (%s) does not exist in the KEGG data directory %s. "
-                              "Perhaps you need to specify a different KEGG directory using --kegg-data-dir. Or perhaps you didn't run "
-                              "`anvi-setup-kegg-kofams`, though we are not sure how you got to this point in that case "
-                              "since you also cannot run `anvi-run-kegg-kofams` without first having run KEGG setup. But fine. Hopefully "
-                              "you now know what you need to do to make this message go away." % ("MODULES.db", self.kegg_data_dir))
-        kegg_modules_db = KeggModulesDatabase(self.kegg_modules_db_path, args=self.args, quiet=self.quiet)
-
-        if not self.estimate_from_json:
+        if not self.estimate_from_json and not self.enzymes_txt:
+            utils.is_contigs_db(self.contigs_db_path)
             # here we load the contigs DB just for sanity check purposes.
             # We will need to load it again later just before accessing data to avoid SQLite error that comes from different processes accessing the DB
             contigs_db = ContigsDatabase(self.contigs_db_path, run=self.run, progress=self.progress)
@@ -1988,7 +2640,7 @@ def __init__(self, args, run=run, progress=progress):
 
             # init the enzyme accession to function definition dictionary
             # (henceforth referred to as the KO dict, even though it doesn't only contain KOs for user data)
-            self.setup_ko_dict()
+            self.setup_ko_dict(exclude_threshold=self.exclude_kos_no_threshold)
             annotation_source_set = set(['KOfam'])
 
             # check for kegg modules db
@@ -1998,7 +2650,7 @@ def __init__(self, args, run=run, progress=progress):
                                   f"`anvi-setup-kegg-kofams`, though we are not sure how you got to this point in that case."
                                   f"But fine. Hopefully you now know what you need to do to make this message go away.")
 
-            if not self.estimate_from_json:
+            if not self.estimate_from_json and not self.enzymes_txt:
                 # sanity check that contigs db was annotated with same version of MODULES.db that will be used for metabolism estimation
                 if 'modules_db_hash' not in contigs_db.meta:
                     raise ConfigError("Based on the contigs DB metadata, the contigs DB that you are working with has not been annotated with hits to the "
@@ -2025,7 +2677,7 @@ def __init__(self, args, run=run, progress=progress):
 
 
         # LOAD USER DATA
-        if not self.estimate_from_json:
+        if not self.estimate_from_json and not self.enzymes_txt:
             if self.user_input_dir:
                 # check for user modules db
                 if not os.path.exists(self.user_modules_db_path):
@@ -2057,14 +2709,19 @@ def __init__(self, args, run=run, progress=progress):
                         self.ko_dict[k] = user_kos[k]
                 user_modules_db.disconnect()
 
-        if not self.estimate_from_json:
+        if not self.estimate_from_json and not self.enzymes_txt:
             contigs_db.disconnect()
-        kegg_modules_db.disconnect()
 
-        if not self.quiet:
-            self.run.warning("Anvi'o will reconstruct metabolism for modules in the KEGG MODULE database, as described in "
-                             "Kanehisa and Goto et al (doi:10.1093/nar/gkr988). When you publish your findings, "
-                             "please do not forget to properly credit this work.", lc='green', header="CITATION")
+        self.annotation_sources_to_use = list(annotation_source_set)
+
+        # tell user what metabolism data we are using
+        if self.user_input_dir:
+            if self.only_user_modules:
+                self.run.info('Metabolism data', "USER only")
+            else:
+                self.run.info('Metabolism data', "KEGG + USER-DEFINED")
+        else:
+            self.run.info('Metabolism data', "KEGG only")
 
 
     def list_output_modes(self):
@@ -2157,7 +2814,7 @@ def init_hits_and_splits(self, annotation_sources=['KOfam']):
 
         source_list = ','.join(["'%s'" % src for src in annotation_sources])
         hits_where_clause = f'''source IN ({source_list}) AND gene_callers_id IN ({gene_list})'''
-        kofam_hits = contigs_db.db.get_some_columns_from_table(t.gene_function_calls_table_name, "gene_callers_id, accession",
+        kofam_hits = contigs_db.db.get_some_columns_from_table(t.gene_function_calls_table_name, "gene_callers_id, accession, function",
                                                                where_clause=hits_where_clause)
 
         contigs_db.disconnect()
@@ -2165,74 +2822,44 @@ def init_hits_and_splits(self, annotation_sources=['KOfam']):
         # combine the information for each gene call into neat tuples for returning
         # each gene call is only on one split of one contig, so we can convert these lists of tuples into dictionaries for easy access
         # but some gene calls have multiple kofam hits (and some kofams have multiple gene calls), so we must keep the tuple structure for those
-        self.progress.update("Organizing KOfam hit data")
+        self.progress.update("Organizing gene call data")
         gene_calls_splits_dict = {tpl[0] : tpl[1] for tpl in genes_in_splits}
         gene_calls_contigs_dict = {tpl[0] : tpl[1] for tpl in genes_in_contigs}
         assert len(gene_calls_splits_dict.keys()) == len(genes_in_contigs)
 
         kofam_gene_split_contig = []
-        for gene_call_id, ko in kofam_hits:
-            kofam_gene_split_contig.append((ko, gene_call_id, gene_calls_splits_dict[gene_call_id], gene_calls_contigs_dict[gene_call_id]))
+        for gene_call_id, ko, func in kofam_hits:
+            # some genes have multiple annotations that we need to split
+            for annotation in ko.split('!!!'):
+                kofam_gene_split_contig.append((annotation, gene_call_id, gene_calls_splits_dict[gene_call_id], gene_calls_contigs_dict[gene_call_id]))
+
+                # for user data, the enzymes in some loaded gene calls may not yet be in the ko dict, so we add them in here.
+                if self.user_input_dir:
+                    if not self.ko_dict:
+                        raise ConfigError("Uh oh. The code is currently trying to add gene annotations to self.ko_dict, but this attribute does not "
+                                          "exist! You need to fix this.")
+                    if annotation not in self.ko_dict:
+                        self.ko_dict[annotation] = {'definition': func}
 
         self.progress.update("Done")
         self.progress.end()
 
-        self.run.info("KOfam hits", "%d found" % len(kofam_hits), quiet=self.quiet)
+        sources_str = ", ".join(annotation_sources)
+        self.run.info("Annotation sources used", sources_str)
+        self.run.info("Gene calls from these sources", "%d found" % len(kofam_hits), quiet=self.quiet)
 
         if not self.quiet and not len(kofam_hits):
-            self.run.warning("Hmmm. No KOfam hits were found in this contigs DB, so all metabolism estimate outputs will be empty. This is fine, and "
-                             "could even be biologically correct. But we thought we'd mention it just in case you thought it was weird. "
-                             "Other, technical reasons that this could have happened include: 1) you didn't annotate with `anvi-run-kegg-kofams` "
-                             "and 2) you imported KEGG functional annotations but the 'source' was not 'KOfam'.")
+            self.run.warning(f"Hmmm. No gene calls from any of the following annotation sources were found in this contigs DB: {sources_str}. "
+                             f"The consequence is that all metabolism estimate outputs will be empty. This is fine, and could even be biologically "
+                             f"correct. But we thought we'd mention it just in case you thought it was weird. Other, technical reasons that this could "
+                             f"have happened include: 1) you didn't annotate with `anvi-run-kegg-kofams` or another annotation program, or "
+                             "2) you imported functional annotations but the 'source' did not match those in the list above.")
 
         return kofam_gene_split_contig
 
 
-    def init_data_from_modules_db(self):
-        """This function reads mucho data from the MODULES.db into dictionaries for later access.
-
-        It generates the self.all_modules_in_db dictionary, which contains all data values for all modules
-        in the db, keyed by module number.
-        It also generates the self.all_kos_in_db dictionary, which maps each KO in the db to its list of modules.
-
-        We do this once at the start so as to reduce the number of on-the-fly database queries
-        that have to happen during the estimation process.
-        """
-
-        self.all_modules_in_db = self.kegg_modules_db.get_modules_table_data_values_as_dict()
-
-        self.all_kos_in_db = {}
-        for mod in self.all_modules_in_db:
-            ko_list = self.all_modules_in_db[mod]['ORTHOLOGY']
-            if not isinstance(ko_list, list):
-                ko_list = [ko_list]
-            # we convert to a set because some modules have duplicate orthology lines for the same KO
-            for k in set(ko_list):
-                if k not in self.all_kos_in_db:
-                    self.all_kos_in_db[k] = []
-                self.all_kos_in_db[k].append(mod)
-
-
-    def init_paths_for_modules(self):
-        """This function unrolls the module DEFINITION for each module and places it in an attribute variable for
-        all downstream functions to access.
-
-        It unrolls the module definition into a list of all possible paths, where each path is a list of atomic steps.
-        Atomic steps include singular KOs, protein complexes, modules, non-essential steps, and steps without associated KOs.
-        """
-
-        self.module_paths_dict = {}
-        modules = self.all_modules_in_db.keys()
-        for m in modules:
-            module_definition = self.all_modules_in_db[m]["DEFINITION"]
-            # the below function expects a list
-            if not isinstance(module_definition, list):
-                module_definition = [module_definition]
-            self.module_paths_dict[m] = self.kegg_modules_db.unroll_module_definition(m, def_lines=module_definition)
-
-
-    def init_gene_coverage(self, gcids_for_kofam_hits):
-        """This function initializes gene coverage/detection values from the provided profile DB.
+    def init_gene_coverage(self, gcids_for_kofam_hits):
+        """This function initializes gene coverage/detection values from the provided profile DB.
 
         The profile DB should be already initialized for this to work (currently add_gene_coverage_to_headers_list()
         handles this). The reason we split the initalization of the profile db from the initialization of gene
@@ -2258,37 +2885,43 @@ def init_gene_coverage(self, gcids_for_kofam_hits):
     def add_gene_coverage_to_headers_list(self):
         """Updates the headers lists for relevant output modes with coverage and detection column headers.
 
-        The profile DB is initialized in this function in order to get access to the sample names that will
+        If a profile DB was provided, it is initialized in this function in order to get access to the sample names that will
         be part of the available coverage/detection headers.
         """
 
-        if not self.profile_db:
-            self.args.skip_consider_gene_dbs = True
-            self.profile_db = ProfileSuperclass(self.args)
+        # obtain list of sample names
+        if self.enzymes_txt: # for this input the sample name is just the name of the input file (dots converted to underscores)
+            samples_list = [self.contigs_db_project_name]
 
-        # first we get lists of all the headers we will need to add.
+        else:
+            if not self.profile_db:
+                self.args.skip_consider_gene_dbs = True
+                self.profile_db = ProfileSuperclass(self.args)
+
+            samples_list = self.profile_db.p_meta['samples']
+
+        # obtain lists of all the headers we will need to add.
         # there will be one column per sample for both coverage and detection (for individual genes and for module averages)
         kofam_hits_coverage_headers = []
         kofam_hits_detection_headers = []
         modules_coverage_headers = []
         modules_detection_headers = []
 
-        samples_in_profile_db = self.profile_db.p_meta['samples']
-        for s in samples_in_profile_db:
+        for s in samples_list:
             # we update the available header list so that these additional headers pass the sanity checks
             kofam_hits_coverage_headers.append(s + "_coverage")
             self.available_headers[s + "_coverage"] = {'cdict_key': None,
-                                                       'mode_type': 'kofam_hits_in_modules', 'kofam_hits'
-                                                       'description': f"Mean coverage of gene with KOfam hit in sample {s}"
+                                                       'mode_type': 'kofams',
+                                                       'description': f"Mean coverage of gene in sample {s}"
                                                        }
             kofam_hits_detection_headers.append(s + "_detection")
             self.available_headers[s + "_detection"] = {'cdict_key': None,
-                                                        'mode_type': 'kofam_hits_in_modules',
-                                                        'description': f"Detection of gene with KOfam hit in sample {s}"
+                                                        'mode_type': 'kofams',
+                                                        'description': f"Detection of gene in sample {s}"
                                                         }
             modules_coverage_headers.extend([s + "_gene_coverages", s + "_avg_coverage"])
             self.available_headers[s + "_gene_coverages"] = {'cdict_key': None,
-                                                             'mode_type': 'modules', 'kofam_hits'
+                                                             'mode_type': 'modules',
                                                              'description': f"Comma-separated coverage values for each gene in module in sample {s}"
                                                              }
             self.available_headers[s + "_avg_coverage"] = {'cdict_key': None,
@@ -2306,8 +2939,7 @@ def add_gene_coverage_to_headers_list(self):
                                                             }
 
         # we update the header list for the affected modes
-        self.available_modes["kofam_hits_in_modules"]["headers"].extend(kofam_hits_coverage_headers + kofam_hits_detection_headers)
-        self.available_modes["kofam_hits"]["headers"].extend(kofam_hits_coverage_headers + kofam_hits_detection_headers)
+        self.available_modes["hits"]["headers"].extend(kofam_hits_coverage_headers + kofam_hits_detection_headers)
         self.available_modes["modules"]["headers"].extend(modules_coverage_headers + modules_detection_headers)
 
 
@@ -2365,7 +2997,11 @@ def mark_kos_present_for_list_of_splits(self, kofam_hits_in_splits, split_list=N
 
         if anvio.DEBUG:
             self.run.info("Marking KOs present for bin", bin_name)
-            self.run.info("Number of splits", len(split_list))
+            if split_list:
+                num_splits = len(split_list)
+            else:
+                num_splits = "None"
+            self.run.info("Number of splits", num_splits)
 
         # initialize all modules with empty lists and dicts for kos, gene calls
         modules = self.all_modules_in_db.keys()
@@ -2375,7 +3011,8 @@ def mark_kos_present_for_list_of_splits(self, kofam_hits_in_splits, split_list=N
                                            "kofam_hits" : {},
                                            "genes_to_contigs" : {},
                                            "contigs_to_genes" : {},
-                                           "warnings" : []
+                                           "unique_to_this_module": set(),
+                                           "warnings" : set()
                                           }
         for knum in all_kos:
             """
@@ -2383,8 +3020,11 @@ def mark_kos_present_for_list_of_splits(self, kofam_hits_in_splits, split_list=N
             have a way to know if profiles are missing. But for KOfams with missing profiles, this step is necessary
             so that we don't add the enzyme to the bin_level_ko_dict, because later this will cause problems since
             the enzyme is not in self.ko_dict
+
+            Furthermore, this can only be done when we are using both KEGG data and user data (ie, not --only-user-modules)
+            because we need access to the self.ko_dict
             """
-            if self.all_kos_in_db[knum]['annotation_source'] == 'KOfam' and knum not in self.ko_dict:
+            if not self.only_user_modules and self.all_kos_in_db[knum]['annotation_source'] == 'KOfam' and knum not in self.ko_dict and self.exclude_kos_no_threshold:
                 mods_it_is_in = self.all_kos_in_db[knum]['modules']
                 if mods_it_is_in:
                     if anvio.DEBUG:
@@ -2394,7 +3034,17 @@ def mark_kos_present_for_list_of_splits(self, kofam_hits_in_splits, split_list=N
                                         f"{mods_str}). ")
                     for m in mods_it_is_in:
                         if knum[0] != 'M':
-                            bin_level_module_dict[m]["warnings"].append(f"No KOfam profile for {knum}")
+                            bin_level_module_dict[m]["warnings"].add(f"No KOfam profile for {knum}")
+
+                if anvio.DEBUG:
+                    if self.exclude_kos_no_threshold:
+                        self.run.warning(f"We cannot find an entry for KO {knum} in the `ko_list.txt` file downloaded "
+                                         f"from KEGG. What this means is that you are somehow using KOfam annotations "
+                                         f"that are different from the current version of KOfam on your computer (this can "
+                                         f"happen with --enzymes-txt input). Because we are not considering these annotations, "
+                                         f"you may get KeyErrors downstream. You can force the inclusion of these KOfams by "
+                                         f"re-running this program with the --include-kos-not-in-kofam flag.")
+
                 continue
 
             bin_level_ko_dict[knum] = {"gene_caller_ids" : set(),
@@ -2415,9 +3065,24 @@ def mark_kos_present_for_list_of_splits(self, kofam_hits_in_splits, split_list=N
                                              "contigs_to_genes" : {}
                                              }
             else:
-                present_in_mods = self.all_kos_in_db[ko]
+                # if we are missing the KO from the dictionary at this point, we should fail nicely instead of with a KeyError
+                if ko not in bin_level_ko_dict:
+                    raise ConfigError(f"We cannot find the KEGG enzyme {ko} in the dictionary of enzyme hits, even though this enzyme is "
+                                      f"annotated in your data. This usually happens when you are using `KOfam` annotations that are "
+                                      f"different from the set of profiles we use to annotate in `anvi-run-kegg-kofams` (most typically, "
+                                      f"this will happen with --enzymes-txt input, but it can also happen if you imported external KOfam "
+                                      f"annotations with the source name `KOfam`). If you want to include these enzymes in this analysis, "
+                                      f"you will have to re-run this program with the flag --include-kos-not-in-kofam. If you just now "
+                                      f"realized that it is a bad idea to include these enzymes, then you'll have to re-do your annotations "
+                                      f"or remove them from your input --enzymes-txt file.")
+                present_in_mods = self.all_kos_in_db[ko]['modules']
                 bin_level_ko_dict[ko]["modules"] = present_in_mods
 
+                # keep track of enzymes unique to this module
+                is_unique = False
+                if len(present_in_mods) == 1:
+                    is_unique = True
+
                 for m in present_in_mods:
                     bin_level_module_dict[m]["gene_caller_ids"].add(gene_call_id)
                     if ko in bin_level_module_dict[m]["kofam_hits"] and gene_call_id not in bin_level_module_dict[m]["kofam_hits"][ko]:
@@ -2430,6 +3095,14 @@ def mark_kos_present_for_list_of_splits(self, kofam_hits_in_splits, split_list=N
                     else:
                         bin_level_module_dict[m]["contigs_to_genes"][contig] = set([gene_call_id])
 
+                    # make a special list for the enzymes that are unique
+                    if is_unique:
+                        bin_level_module_dict[m]["unique_to_this_module"].add(ko)
+                    # warn the user if this enzyme is shared between multiple modules
+                    else:
+                        mod_str = "/".join(present_in_mods)
+                        bin_level_module_dict[m]["warnings"].add(f"{ko} is present in multiple modules: {mod_str}")
+
             bin_level_ko_dict[ko]["gene_caller_ids"].add(gene_call_id)
             bin_level_ko_dict[ko]["genes_to_contigs"][gene_call_id] = contig
             if contig in bin_level_ko_dict[ko]["contigs_to_genes"]:
@@ -2438,16 +3111,160 @@ def mark_kos_present_for_list_of_splits(self, kofam_hits_in_splits, split_list=N
                 bin_level_ko_dict[ko]["contigs_to_genes"][contig] = set([gene_call_id])
 
         if anvio.DEBUG:
-            self.run.info("KOs processed", "%d in bin" % len(kofam_hits_in_splits))
+            self.run.info("Gene calls processed", "%d in bin" % len(kofam_hits_in_splits))
             if kos_not_in_modules:
-                self.run.warning("Just so you know, the following KOfam hits did not belong to any KEGG modules in the MODULES.db: %s"
+                self.run.warning("Just so you know, the following enzymes did not belong to any modules in the MODULES.db: %s"
                 % ", ".join(kos_not_in_modules))
 
         return bin_level_module_dict, bin_level_ko_dict
 
 
-    def compute_module_completeness_for_bin(self, mnum, meta_dict_for_bin):
-        """This function calculates the completeness of the specified module within the given bin metabolism dictionary.
+    def compute_stepwise_module_completeness_for_bin(self, mnum, meta_dict_for_bin):
+        """This function calculates the stepwise completeness of the specified module within the given bin dictionary.
+
+        It uses only the "top-level" steps of the module definition, which are the steps that you get when you first
+        split the module definition on a space. Each "top-level" step is comprised of one or more enzymes that either
+        work together or serve as alternatives to each other. In this calculation, we ignore the possible combinations
+        of enzymes and simply decide whether or not a "top-level" step is complete or not. Then the module completeness
+        is computed as the number of complete "top-level" steps divided by the total number of steps.
+
+        PARAMETERS
+        ==========
+        mnum : string
+            module number to work on
+        meta_dict_for_bin : dictionary of dictionaries
+            metabolism completeness dict for the current bin, to be modified in-place
+
+        NEW KEYS ADDED TO METABOLISM COMPLETENESS DICT
+        =======
+        "stepwise_completeness"         the stepwise completeness of the module
+        "stepwise_is_complete"          whether the module completeness falls over the completeness threshold
+        "top_level_step_info"           a dictionary of each top level step
+                                            keyed by integer from 0 to # of top level steps.
+                                            inner dict contains the following keys:
+                                            'step_definition' (string)
+                                            'complete' (Boolean)
+                                            'includes_modules' (Boolean)
+                                            'included_module_list' (list of strings)
+
+        RETURNS
+        =======
+        over_complete_threshold : boolean
+            whether or not the module is considered "complete" overall based on the threshold fraction of completeness
+        """
+
+        top_level_steps = self.all_modules_in_db[mnum]['top_level_steps']
+        num_steps = len(top_level_steps)
+        num_complete = 0
+        num_nonessential_steps = 0
+
+        present_list_for_mnum = meta_dict_for_bin[mnum]["kofam_hits"].keys()
+
+        meta_dict_for_bin[mnum]['top_level_step_info'] = {}
+
+        for i, step in enumerate(top_level_steps):
+            step_is_present_condition_statement = ""
+            cur_index = 0  # current position in the step DEFINITION
+            step_includes_modules = False
+            included_module_list = []
+
+            while cur_index < len(step):
+                if step[cur_index] in ['(',')']:
+                    step_is_present_condition_statement += step[cur_index]
+                    cur_index += 1
+
+                elif step[cur_index] == ",":
+                    step_is_present_condition_statement += " or "
+                    cur_index += 1
+
+                elif step[cur_index] == "+" or step[cur_index] == ' ':
+                    step_is_present_condition_statement += " and "
+                    cur_index += 1
+
+                elif step[cur_index] == "-":
+                    # '--' no associated enzyme case, always False (assumed incomplete)
+                    if step[cur_index+1] == "-":
+                        step_is_present_condition_statement += "False"
+                        cur_index += 2 # skip over both '-', the next character should be a space or end of DEFINITION line
+
+                        if anvio.DEBUG:
+                            self.run.warning(f"While estimating the stepwise completeness of KEGG module {mnum}, anvi'o saw "
+                                             f"'--' in the module DEFINITION. This indicates a step in the pathway that has no "
+                                             f"associated enzyme. By default, anvi'o is marking this step incomplete. But it may not be, "
+                                             f"and as a result this module might be falsely considered incomplete. So it may be in your "
+                                             f"interest to take a closer look at this individual module.")
+                        if cur_index < len(step) and step[cur_index] != " ":
+                            raise ConfigError(f"Serious, serious parsing sadness is happening. We just processed a '--' in "
+                                              f"a DEFINITION line for module {mnum} but did not see a space afterwards. Instead, "
+                                              f"we found {step[cur_index+1]}. WHAT DO WE DO NOW?")
+
+                    # a whole set of nonessential KOs - skip all of them
+                    elif step[cur_index+1] == "(":
+                        while step[cur_index] != ")":
+                            cur_index += 1
+                        cur_index += 1 # skip over the ')'
+
+                    # anything else that follows a '-' should be an enzyme or enzyme component, and should be skipped
+                    else:
+                        # find the next space or '-' or the end of the step
+                        while cur_index+1 < len(step) and (step[cur_index+1] not in [' ', ',', '+', '-', '(', ')']):
+                            cur_index += 1
+                        cur_index += 1
+                        # if we found a non-accession character, the next iteration of the loop will take care of it
+                        # if we reached the end of the step and the condition statement is empty, then the entire
+                        #    step is nonessential so we need to avoid counting it (taken care of later)
+
+                else: # enzyme or module accession
+                    enzyme_start_index = cur_index
+                    while cur_index+1 < len(step) and step[cur_index+1] not in [' ', ',', '+', '-', '(', ')']:
+                        cur_index += 1
+                    enzyme_end_index = cur_index
+
+                    accession = step[enzyme_start_index : enzyme_end_index+1]
+                    # module
+                    if accession in self.all_modules_in_db:
+                        step_includes_modules = True
+                        included_module_list.append(accession)
+                        # store the module accession in the condition string to be replaced later
+                        step_is_present_condition_statement += accession
+                    # enzyme
+                    elif accession in present_list_for_mnum:
+                        step_is_present_condition_statement += "True"
+                    else:
+                        step_is_present_condition_statement += "False"
+
+                    cur_index += 1
+
+            meta_dict_for_bin[mnum]['top_level_step_info'][i] = {}
+            meta_dict_for_bin[mnum]['top_level_step_info'][i]['step_definition'] = step
+            meta_dict_for_bin[mnum]['top_level_step_info'][i]['includes_modules'] = step_includes_modules
+            meta_dict_for_bin[mnum]['top_level_step_info'][i]['included_module_list'] = included_module_list
+
+            # entire step was nonessential, do not count it
+            if step_is_present_condition_statement == "":
+                num_nonessential_steps += 1
+                meta_dict_for_bin[mnum]['top_level_step_info'][i]['complete'] = "nonessential"
+            elif step_includes_modules:
+                # we'll eval this condition statement in a later function once all other modules have stepwise completeness
+                meta_dict_for_bin[mnum]['top_level_step_info'][i]['complete'] = step_is_present_condition_statement
+            else:
+                step_is_present = eval(step_is_present_condition_statement)
+                meta_dict_for_bin[mnum]['top_level_step_info'][i]['complete'] = step_is_present
+                if step_is_present:
+                    num_complete += 1
+
+        # compute stepwise completeness as number of complete (essential) steps / number of total (essential) steps
+        mod_stepwise_completeness = num_complete / (num_steps - num_nonessential_steps)
+        meta_dict_for_bin[mnum]["stepwise_completeness"] = mod_stepwise_completeness
+
+        over_complete_threshold = True if meta_dict_for_bin[mnum]["stepwise_completeness"] >= self.module_completion_threshold else False
+        meta_dict_for_bin[mnum]["stepwise_is_complete"] = over_complete_threshold
+
+        return over_complete_threshold
+
+
+    def compute_pathwise_module_completeness_for_bin(self, mnum, meta_dict_for_bin):
+        """This function calculates the pathwise completeness of the specified module within the given bin metabolism dictionary.
 
         To do this, it works with the unrolled module definition: a list of all possible paths, where each path is a list of atomic steps.
         Atomic steps include singular KOs, protein complexes, modules, non-essential steps, and steps without associated KOs.
@@ -2481,8 +3298,8 @@ def compute_module_completeness_for_bin(self, mnum, meta_dict_for_bin):
         "pathway_completeness"          a list of the completeness of each pathway
         "present_nonessential_kos"      a list of non-essential KOs in the module that were found to be present
         "most_complete_paths"           a list of the paths with maximum completeness
-        "percent_complete"              the completeness of the module, which is the maximum pathway completeness
-        "complete"                      whether the module completeness falls over the completeness threshold
+        "pathwise_percent_complete"     the completeness of the module, which is the maximum pathway completeness
+        "pathwise_is_complete"          whether the module completeness falls over the completeness threshold
 
         RETURNS
         =======
@@ -2512,104 +3329,230 @@ def compute_module_completeness_for_bin(self, mnum, meta_dict_for_bin):
         defined_by_modules = False
 
         meta_dict_for_bin[mnum]["pathway_completeness"] = []
+        meta_dict_for_bin[mnum]["num_complete_copies_of_all_paths"] = []
+        meta_dict_for_bin[mnum]["num_complete_copies_of_most_complete_paths"] = []
 
         for p in self.module_paths_dict[mnum]:
             num_complete_steps_in_path = 0
             num_nonessential_steps_in_path = 0 # so that we don't count nonessential steps when computing completeness
+            atomic_step_copy_number = []
+
             for atomic_step in p:
                 # there are 5 types of atomic steps to take care of
-                # 1) regular old single KOs, ie Kxxxxx
-                if atomic_step[0] == "K" and len(atomic_step) == 6:
-                    if atomic_step in present_list_for_mnum:
-                        num_complete_steps_in_path += 1
-                # 2) protein complexes, ie Kxxxxx+Kyyyyy-Kzzzzz (2 types of complex components - essential and nonessential)
-                elif atomic_step[0] == "K" and (atomic_step[6] == "+" or atomic_step[6] == "-"):
-                    idx = 6
-                    essential_components = [atomic_step[0:idx]]
-                    while idx < len(atomic_step):
-                        component_ko = atomic_step[idx+1:idx+7]
-                        if atomic_step[idx] == "+":
-                            essential_components.append(component_ko)
+                if any(x in atomic_step for x in ['-','+']):
+                    # 1) steps without associated enzymes, ie --
+                    if atomic_step == "--":
+                        # when '--' in a DEFINITION line happens, it signifies a reaction step that has no associated enzyme.
+                        # we assume that such steps are not complete
+                        has_no_ko_step = True
+                        warning_str = "'--' steps are assumed incomplete"
+                        meta_dict_for_bin[mnum]["warnings"].add(warning_str)
+                        atomic_step_copy_number.append(0)
+                    # 2) non-essential KOs, ie -Kxxxxx
+                    elif atomic_step[0] == "-" and not any(x in atomic_step[1:] for x in ['-','+']):
+                        """
+                        OKAY, SO HERE WE HAVE SOME POOPINESS THAT MAY NEED TO BE FIXED EVENTUALLY.
+                        Basically, some DEFINITION lines have KOs that seem to be marked non-essential;
+                        ie, "-K11024" in "K11023 -K11024 K11025 K11026 K11027".
+                        It was difficult to decide whether we should consider only K11024, or K11024 and all following KOs, to be non-essential.
+                        For instance, the module M00778 is a complex case that gave us pause - see Fiesta issue 955.
+                        But for now, we have decided to just track only the one KO as a 'non-essential step', and to not include such steps in
+                        the module completeness estimate.
+                        """
+                        ko = atomic_step[1:]
+                        if ko not in module_nonessential_kos:
+                            module_nonessential_kos.append(ko)
+                        num_nonessential_steps_in_path += 1
+                        has_nonessential_step = True
+
+                    # 3) protein complexes, ie Kxxxxx+Kyyyyy-Kzzzzz (2 types of complex components - essential and nonessential)
+                    else:
+                        # split on '+' or '-'
+                        pattern = re.compile('\+|\-')
+                        match_idxs = []
+                        for match in re.finditer(pattern, atomic_step):
+                            match_idxs.append(match.start())
+
+                        essential_components = []
+                        num_matches_processed = 0
+                        for i, match_idx in enumerate(match_idxs):
+                            # if this is the first match, we need to handle the initial component in the complex
+                            if num_matches_processed == 0:
+                                essential_components.append(atomic_step[0:match_idx])
+
+                            # handle the component after the match character
+                            if i < len(match_idxs)-1:
+                                next_idx = match_idxs[i+1]
+                            else:
+                                next_idx = len(atomic_step)
+                            component_ko = atomic_step[match_idx+1:next_idx]
+
+                            # essential component after  +
+                            if atomic_step[match_idx] == '+':
+                                essential_components.append(component_ko)
+                            # non-essential component after '-'
+                            else:
+                                has_nonessential_step = True
+                                if component_ko not in module_nonessential_kos:
+                                    module_nonessential_kos.append(component_ko)
+
+                            num_matches_processed += 1
+
+                        # after processing all components of the enzyme complex, we compute the complex completeness and copy number
+                        num_present_components = 0
+                        component_copy_number = []
+                        for c in essential_components:
+                            if c in present_list_for_mnum:
+                                num_present_components += 1
+                                num_copies = len(meta_dict_for_bin[mnum]["kofam_hits"][c])
+                            else:
+                                num_copies = 0
+                            component_copy_number.append(num_copies)
+                        component_completeness = num_present_components / len(essential_components)
+                        num_complete_steps_in_path += component_completeness
+
+                        if component_completeness >= self.module_completion_threshold:
+                            atomic_step_copy_number.append(min(component_copy_number))
                         else:
-                            has_nonessential_step = True
-                            if component_ko not in module_nonessential_kos:
-                                module_nonessential_kos.append(component_ko)
-                        idx += 7
-
-                    num_present_components = 0
-                    for c in essential_components:
-                        if c in present_list_for_mnum:
-                            num_present_components += 1
-                    component_completeness = num_present_components / len(essential_components)
-                    num_complete_steps_in_path += component_completeness
-                # 3) non-essential KOs, ie -Kxxxxx
-                elif atomic_step[0:2] == "-K" and len(atomic_step) == 7:
-                    """
-                    OKAY, SO HERE WE HAVE SOME POOPINESS THAT MAY NEED TO BE FIXED EVENTUALLY.
-                    Basically, some DEFINITION lines have KOs that seem to be marked non-essential;
-                    ie, "-K11024" in "K11023 -K11024 K11025 K11026 K11027".
-                    It was difficult to decide whether we should consider only K11024, or K11024 and all following KOs, to be non-essential.
-                    For instance, the module M00778 is a complex case that gave us pause - see Fiesta issue 955.
-                    But for now, we have decided to just track only the one KO as a 'non-essential step', and to not include such steps in
-                    the module completeness estimate.
-                    """
-                    if atomic_step[1:] not in module_nonessential_kos:
-                        module_nonessential_kos.append(atomic_step[1:])
-                    num_nonessential_steps_in_path += 1
-                    has_nonessential_step = True
-                # 4) steps without associated KOs, ie --
-                elif atomic_step == "--":
-                    # when '--' in a DEFINITION line happens, it signifies a reaction step that has no associated KO.
-                    # we assume that such steps are not complete,  because we really can't know if it is from the KOfam hits alone
-                    has_no_ko_step = True
-                    warning_str = "'--' steps are assumed incomplete"
-                    if warning_str not in meta_dict_for_bin[mnum]["warnings"]:
-                        meta_dict_for_bin[mnum]["warnings"].append(warning_str)
-                # 5) Module numbers, ie Mxxxxx
-                elif atomic_step[0] == "M" and len(atomic_step) == 6:
-                    """
-                    This happens when a module is defined by other modules. For example, photosynthesis module M00611 is defined as
-                    (M00161,M00163) M00165 === (photosystem II or photosystem I) and calvin cycle
-
-                    We need all the modules to have been evaluated before we can determine completeness of steps with module numbers.
-                    So what we will do here is to use a flag variable to keep track of the modules that have this sort of definition
-                    in a list so we can go back and evaluate completeness of steps with module numbers later.
-                    """
-                    defined_by_modules = True
+                            atomic_step_copy_number.append(0)
                 else:
-                    raise ConfigError("Well. While estimating completeness for module %s, we found an atomic step in the pathway that we "
-                                        "are not quite sure what to do with. Here it is: %s" % (mnum, atomic_step))
+                    # atomic step is a single enzyme or module
+                    # 4) Module numbers, ie Mxxxxx
+                    if atomic_step in self.all_modules_in_db:
+                        """
+                        This happens when a module is defined by other modules. For example, photosynthesis module M00611 is defined as
+                        (M00161,M00163) M00165 === (photosystem II or photosystem I) and calvin cycle
+
+                        We need all the modules to have been evaluated before we can determine completeness of steps with module numbers.
+                        So what we will do here is to use a flag variable to keep track of the modules that have this sort of definition
+                        in a list so we can go back and evaluate completeness of steps with module numbers later.
+                        """
+                        defined_by_modules = True
+                    # 5) regular old single enzymes, ie Kxxxxx (for KOs), COGyyyyy (for COGs), etc
+                    else:
+                        if atomic_step in present_list_for_mnum:
+                            num_complete_steps_in_path += 1
+                            num_copies = len(meta_dict_for_bin[mnum]["kofam_hits"][atomic_step])
+                        else:
+                            num_copies = 0
 
+                        atomic_step_copy_number.append(num_copies)
 
             path_completeness = num_complete_steps_in_path / (len(p) - num_nonessential_steps_in_path)
             meta_dict_for_bin[mnum]["pathway_completeness"].append(path_completeness)
 
+            # compute path copy number
+            if defined_by_modules:
+                path_copy_number = atomic_step_copy_number # save list with atomic step copy numbers to use when adjusting module copy number later
+            else:
+                path_copy_number = self.compute_num_complete_copies_of_path(atomic_step_copy_number)
+            meta_dict_for_bin[mnum]["num_complete_copies_of_all_paths"].append(path_copy_number)
+
         # once all paths have been evaluated, we find the path(s) of maximum completeness and set that as the overall module completeness
         # this is not very efficient as it takes two passes over the list but okay
-        meta_dict_for_bin[mnum]["percent_complete"] = max(meta_dict_for_bin[mnum]["pathway_completeness"])
-        if meta_dict_for_bin[mnum]["percent_complete"] > 0:
-            meta_dict_for_bin[mnum]["most_complete_paths"] = [self.module_paths_dict[mnum][i] for i, pc in enumerate(meta_dict_for_bin[mnum]["pathway_completeness"]) if pc == meta_dict_for_bin[mnum]["percent_complete"]]
+        meta_dict_for_bin[mnum]["pathwise_percent_complete"] = max(meta_dict_for_bin[mnum]["pathway_completeness"])
+        if meta_dict_for_bin[mnum]["pathwise_percent_complete"] > 0:
+            meta_dict_for_bin[mnum]["most_complete_paths"] = [self.module_paths_dict[mnum][i] for i, pc in enumerate(meta_dict_for_bin[mnum]["pathway_completeness"]) if pc == meta_dict_for_bin[mnum]["pathwise_percent_complete"]]
+            if not defined_by_modules:
+                meta_dict_for_bin[mnum]["num_complete_copies_of_most_complete_paths"] = [meta_dict_for_bin[mnum]["num_complete_copies_of_all_paths"][i] for i, pc in enumerate(meta_dict_for_bin[mnum]["pathway_completeness"]) if pc == meta_dict_for_bin[mnum]["pathwise_percent_complete"]]
         else:
             meta_dict_for_bin[mnum]["most_complete_paths"] = []
+            meta_dict_for_bin[mnum]["num_complete_copies_of_most_complete_paths"] = []
+
+        # set module copy number as the maximum copy number of the path(s) of maximum completeness
+        if meta_dict_for_bin[mnum]["num_complete_copies_of_most_complete_paths"]:
+            meta_dict_for_bin[mnum]["pathwise_copy_number"] = max(meta_dict_for_bin[mnum]["num_complete_copies_of_most_complete_paths"])
+        else:
+            meta_dict_for_bin[mnum]["pathwise_copy_number"] = 'NA'
+
+        # compute proportion of unique enzymes in the module (regardless of which path(s) enzyme is in or whether enzyme is essential)
+        if meta_dict_for_bin[mnum]["unique_to_this_module"]:
+            num_unique_enzymes_present = 0
+            num_unique_enzymes_in_mod = len(meta_dict_for_bin[mnum]["unique_to_this_module"])
+            for ko in present_list_for_mnum:
+                if ko in meta_dict_for_bin[mnum]["unique_to_this_module"]:
+                    num_unique_enzymes_present += 1
+
+            meta_dict_for_bin[mnum]["proportion_unique_enzymes_present"] = num_unique_enzymes_present / num_unique_enzymes_in_mod
+            meta_dict_for_bin[mnum]["unique_enzymes_context_string"] = f"{num_unique_enzymes_present} of {num_unique_enzymes_in_mod} unique enzymes in module"
+        else:
+            meta_dict_for_bin[mnum]["proportion_unique_enzymes_present"] = "NA"
+            meta_dict_for_bin[mnum]["unique_enzymes_context_string"] = "NA"
 
 
         if anvio.DEBUG and len(meta_dict_for_bin[mnum]["most_complete_paths"]) > 1:
-            self.run.warning("Found %d complete paths for module %s with completeness %s. " % (len(meta_dict_for_bin[mnum]["most_complete_paths"]), mnum, meta_dict_for_bin[mnum]["percent_complete"]),
+            self.run.warning("Found %d complete paths for module %s with completeness %s. " % (len(meta_dict_for_bin[mnum]["most_complete_paths"]), mnum, meta_dict_for_bin[mnum]["pathwise_percent_complete"]),
                             header='DEBUG OUTPUT', lc='yellow')
-        over_complete_threshold = True if meta_dict_for_bin[mnum]["percent_complete"] >= self.module_completion_threshold else False
-        meta_dict_for_bin[mnum]["complete"] = over_complete_threshold
+        over_complete_threshold = True if meta_dict_for_bin[mnum]["pathwise_percent_complete"] >= self.module_completion_threshold else False
+        meta_dict_for_bin[mnum]["pathwise_is_complete"] = over_complete_threshold
         meta_dict_for_bin[mnum]["present_nonessential_kos"] = module_nonessential_kos
-        if over_complete_threshold:
-            meta_dict_for_bin["num_complete_modules"] += 1
 
         return over_complete_threshold, has_nonessential_step, has_no_ko_step, defined_by_modules
 
 
-    def adjust_module_completeness_for_bin(self, mod, meta_dict_for_bin):
-        """This function adjusts completeness of modules that are defined by other modules.
+    def adjust_stepwise_completeness_for_bin(self, mnum, meta_dict_for_bin):
+        """This function adjusts stepwise completeness of modules that are defined by other modules.
 
         This can only be done after all other modules have been evaluated for completeness.
-        The function uses similar logic as compute_module_completeness_for_bin() to re-assess whether steps defined
+        The function goes through the top-level steps established by compute_stepwise_module_completeness_for_bin()
+        and re-assesses whether steps including other modules are complete. It updates the metabolism completess dictionary accordingly.
+
+        PARAMETERS
+        ==========
+        mnum : string
+            the module number to adjust
+        meta_dict_for_bin : dictionary of dictionaries
+            metabolism completeness dictionary for the current bin
+
+        RETURNS
+        =======
+        now_complete : boolean
+            whether or not the module is NOW considered "complete" overall based on the threshold fraction of completeness
+        """
+
+        num_steps = len(meta_dict_for_bin[mnum]['top_level_step_info'].keys())
+        num_complete = 0
+        num_nonessential_steps = 0
+
+        for step_num, step_dict in meta_dict_for_bin[mnum]['top_level_step_info'].items():
+            if step_dict['includes_modules']:
+                # this condition statement has module accessions in it, we need to replace those with True/False and eval
+                step_is_present_condition_statement = step_dict['complete']
+                module_accessions_to_replace = step_dict['included_module_list']
+                for m in module_accessions_to_replace:
+                    mod_completeness = meta_dict_for_bin[m]['stepwise_completeness']
+                    if mod_completeness >= self.module_completion_threshold:
+                        step_is_present_condition_statement = step_is_present_condition_statement.replace(m, "True")
+                    else:
+                        step_is_present_condition_statement = step_is_present_condition_statement.replace(m, "False")
+
+                # now evaluate to see if this step is complete
+                step_is_present = eval(step_is_present_condition_statement)
+                meta_dict_for_bin[mnum]['top_level_step_info'][step_num]['complete'] = step_is_present
+                if step_is_present:
+                    num_complete += 1
+
+            else:
+                if step_dict['complete'] == "nonessential":
+                    num_nonessential_steps += 1
+                elif step_dict['complete']:
+                    num_complete += 1
+
+        mod_stepwise_completeness = num_complete / (num_steps - num_nonessential_steps)
+        meta_dict_for_bin[mnum]["stepwise_completeness"] = mod_stepwise_completeness
+
+        was_already_complete = meta_dict_for_bin[mnum]["stepwise_is_complete"]
+        now_complete = True if mod_stepwise_completeness >= self.module_completion_threshold else False
+        meta_dict_for_bin[mnum]["stepwise_is_complete"] = now_complete
+
+        return now_complete
+
+
+    def adjust_pathwise_completeness_for_bin(self, mod, meta_dict_for_bin):
+        """This function adjusts pathwise completeness of modules that are defined by other modules.
+
+        This can only be done after all other modules have been evaluated for completeness.
+        The function uses similar logic as compute_pathwise_module_completeness_for_bin() to re-assess whether steps defined
         by other modules are complete, and updates the metabolism completess dictionary accordingly.
 
         PARAMETERS
@@ -2630,38 +3573,55 @@ def adjust_module_completeness_for_bin(self, mod, meta_dict_for_bin):
             num_essential_steps_in_path = 0  # note that the len(p) will include nonessential steps; we should count only essential ones
             num_complete_module_steps = 0
 
+            # take previously computed step copy numbers. This list includes all steps except those defined by modules.
+            atomic_step_copy_numbers_in_path = meta_dict_for_bin[mod]["num_complete_copies_of_all_paths"][i]
+            module_copy_num_should_be_NA = False # flag to indicate whether component modules have a copy number of NA
+
             for atomic_step in p:
-                # single KOs and protein complexes and '--' steps; were already counted as complete by previous function
-                if atomic_step[0] == "K" or atomic_step == "--":
+                # module step; we need to count these based on previously computed module completeness
+                if atomic_step in self.all_modules_in_db:
+                    num_complete_module_steps += meta_dict_for_bin[atomic_step]["pathwise_percent_complete"]
                     num_essential_steps_in_path += 1
+
+                    if meta_dict_for_bin[atomic_step]["pathwise_copy_number"] == "NA":
+                        module_copy_num_should_be_NA = True
+                    else:
+                        atomic_step_copy_numbers_in_path.append(meta_dict_for_bin[atomic_step]["pathwise_copy_number"])
                 # non-essential KO, don't count as a step in the path
-                elif atomic_step[0:2] == "-K" and len(atomic_step) == 7:
+                elif atomic_step[0] == '-' and not atomic_step == "--":
                     pass
-                # module step; we need to count these based on previously computed module completeness
-                elif atomic_step[0] == "M" and len(atomic_step) == 6:
-                    num_complete_module_steps += meta_dict_for_bin[atomic_step]["percent_complete"]
-                    num_essential_steps_in_path += 1
+                # single enzymes, protein complexes and '--' steps; were already counted as complete by previous function
                 else:
-                    raise ConfigError("Well. While adjusting completeness estimates for module %s, we found an atomic step in the pathway that we "
-                                      "are not quite sure what to do with. Here it is: %s" % (mod, atomic_step))
+                    num_essential_steps_in_path += 1
 
             # now we adjust the previous pathway completeness
             old_complete_steps_in_path = meta_dict_for_bin[mod]["pathway_completeness"][i] * num_essential_steps_in_path
             adjusted_num_complete_steps_in_path = old_complete_steps_in_path + num_complete_module_steps
             meta_dict_for_bin[mod]["pathway_completeness"][i] = adjusted_num_complete_steps_in_path / num_essential_steps_in_path
 
+            # now we adjust the path copy number
+            if module_copy_num_should_be_NA:
+                path_copy_number = "NA"
+            else:
+                path_copy_number = self.compute_num_complete_copies_of_path(atomic_step_copy_numbers_in_path)
+            meta_dict_for_bin[mod]["num_complete_copies_of_all_paths"][i] = path_copy_number
+
         # after adjusting for all paths, adjust overall module completeness
-        meta_dict_for_bin[mod]["percent_complete"] = max(meta_dict_for_bin[mod]["pathway_completeness"])
-        if meta_dict_for_bin[mod]["percent_complete"] > 0:
-            meta_dict_for_bin[mod]["most_complete_paths"] = [self.module_paths_dict[mod][i] for i, pc in enumerate(meta_dict_for_bin[mod]["pathway_completeness"]) if pc == meta_dict_for_bin[mod]["percent_complete"]]
+        meta_dict_for_bin[mod]["pathwise_percent_complete"] = max(meta_dict_for_bin[mod]["pathway_completeness"])
+        if meta_dict_for_bin[mod]["pathwise_percent_complete"] > 0:
+            meta_dict_for_bin[mod]["most_complete_paths"] = [self.module_paths_dict[mod][i] for i, pc in enumerate(meta_dict_for_bin[mod]["pathway_completeness"]) if pc == meta_dict_for_bin[mod]["pathwise_percent_complete"]]
         else:
             meta_dict_for_bin[mod]["most_complete_paths"] = []
 
-        was_already_complete = meta_dict_for_bin[mod]["complete"]
-        now_complete = True if meta_dict_for_bin[mod]["percent_complete"] >= self.module_completion_threshold else False
-        meta_dict_for_bin[mod]["complete"] = now_complete
-        if now_complete and not was_already_complete:
-            meta_dict_for_bin["num_complete_modules"] += 1
+        was_already_complete = meta_dict_for_bin[mod]["pathwise_is_complete"]
+        now_complete = True if meta_dict_for_bin[mod]["pathwise_percent_complete"] >= self.module_completion_threshold else False
+        meta_dict_for_bin[mod]["pathwise_is_complete"] = now_complete
+
+        # and adjust overall module copy number
+        if meta_dict_for_bin[mod]["num_complete_copies_of_most_complete_paths"]:
+            meta_dict_for_bin[mod]["pathwise_copy_number"] = max(meta_dict_for_bin[mnum]["num_complete_copies_of_most_complete_paths"])
+        else:
+            meta_dict_for_bin[mod]["pathwise_copy_number"] = 'NA'
 
         return now_complete
 
@@ -2684,7 +3644,12 @@ def add_module_coverage(self, mod, meta_dict_for_bin):
                                         avg_detection = meta_dict_for_bin[module]["average_detection_per_sample"][sample]
         """
 
-        if not self.profile_db:
+        meta_dict_for_bin[mod]["genes_to_coverage"] = {}
+        meta_dict_for_bin[mod]["genes_to_detection"] = {}
+        meta_dict_for_bin[mod]["average_coverage_per_sample"] = {}
+        meta_dict_for_bin[mod]["average_detection_per_sample"] = {}
+
+        if not self.enzymes_txt and not self.profile_db:
             raise ConfigError("The add_module_coverage() function cannot work without a properly initialized "
                               "profile database.")
 
@@ -2704,12 +3669,10 @@ def add_module_coverage(self, mod, meta_dict_for_bin):
                     sample_set.add(sample)
             self.coverage_sample_list = list(sample_set)
         else:
-            self.coverage_sample_list = self.profile_db.p_meta['samples']
-
-        meta_dict_for_bin[mod]["genes_to_coverage"] = {}
-        meta_dict_for_bin[mod]["genes_to_detection"] = {}
-        meta_dict_for_bin[mod]["average_coverage_per_sample"] = {}
-        meta_dict_for_bin[mod]["average_detection_per_sample"] = {}
+            if self.enzymes_txt:
+                self.coverage_sample_list = [self.contigs_db_project_name]
+            else:
+                self.coverage_sample_list = self.profile_db.p_meta['samples']
 
         num_genes = len(meta_dict_for_bin[mod]["gene_caller_ids"])
         for s in self.coverage_sample_list:
@@ -2718,8 +3681,12 @@ def add_module_coverage(self, mod, meta_dict_for_bin):
             coverage_sum = 0
             detection_sum = 0
             for g in meta_dict_for_bin[mod]["gene_caller_ids"]:
-                cov = self.profile_db.gene_level_coverage_stats_dict[g][s]['mean_coverage']
-                det = self.profile_db.gene_level_coverage_stats_dict[g][s]['detection']
+                if self.enzymes_txt:
+                    cov = self.enzymes_txt_data[self.enzymes_txt_data['gene_id'] == g]['coverage'].values[0]
+                    det = self.enzymes_txt_data[self.enzymes_txt_data['gene_id'] == g]['detection'].values[0]
+                else:
+                    cov = self.profile_db.gene_level_coverage_stats_dict[g][s]['mean_coverage']
+                    det = self.profile_db.gene_level_coverage_stats_dict[g][s]['detection']
                 coverage_sum += cov
                 detection_sum += det
                 meta_dict_for_bin[mod]["genes_to_coverage"][s][g] = cov
@@ -2745,16 +3712,14 @@ def estimate_for_list_of_splits(self, metabolism_dict_for_list_of_splits, bin_na
         ==========
         metabolism_dict_for_list_of_splits : dictionary of dictionaries
             the metabolism completeness dictionary of dictionaries for this list of splits. It contains
-            one dictionary of module steps and completion information for each module (keyed by module number),
-            as well as one key num_complete_modules that tracks the number of complete modules found in these splits.
+            one dictionary of module steps and completion information for each module (keyed by module number).
             Calling functions should assign this dictionary to a metabolism superdict with the bin name as a key.
         bin_name : str
             the name of the bin/genome/metagenome that we are working with
         """
 
-        metabolism_dict_for_list_of_splits["num_complete_modules"] = 0
-
-        complete_mods = []
+        pathwise_complete_mods = set([])
+        stepwise_complete_mods = set([])
         mods_def_by_modules = [] # a list of modules that have module numbers in their definitions
         # modules to warn about
         mods_with_unassociated_ko = [] # a list of modules that have "--" steps without an associated KO
@@ -2762,13 +3727,12 @@ def estimate_for_list_of_splits(self, metabolism_dict_for_list_of_splits, bin_na
 
         # estimate completeness of each module
         for mod in metabolism_dict_for_list_of_splits.keys():
-            if mod == "num_complete_modules":
-                continue
+            # pathwise
             mod_is_complete, has_nonessential_step, has_no_ko_step, defined_by_modules \
-            = self.compute_module_completeness_for_bin(mod, metabolism_dict_for_list_of_splits)
+            = self.compute_pathwise_module_completeness_for_bin(mod, metabolism_dict_for_list_of_splits)
 
             if mod_is_complete:
-                complete_mods.append(mod)
+                pathwise_complete_mods.add(mod)
             if has_nonessential_step:
                 mods_with_nonessential_steps.append(mod)
             if has_no_ko_step:
@@ -2776,37 +3740,46 @@ def estimate_for_list_of_splits(self, metabolism_dict_for_list_of_splits, bin_na
             if defined_by_modules:
                 mods_def_by_modules.append(mod)
 
+            # stepwise
+            mod_is_complete = self.compute_stepwise_module_completeness_for_bin(mod, metabolism_dict_for_list_of_splits)
+            self.compute_stepwise_module_copy_number_for_bin(mod, metabolism_dict_for_list_of_splits)
+
+            if mod_is_complete:
+                stepwise_complete_mods.add(mod)
+
             if self.add_coverage:
                 self.add_module_coverage(mod, metabolism_dict_for_list_of_splits)
 
-        # go back and adjust completeness of modules that are defined by other modules
+        # go back and adjust completeness/copy number of modules that are defined by other modules
         if mods_def_by_modules:
             for mod in mods_def_by_modules:
-                mod_is_complete = self.adjust_module_completeness_for_bin(mod, metabolism_dict_for_list_of_splits)
-
+                # pathwise
+                mod_is_complete = self.adjust_pathwise_completeness_for_bin(mod, metabolism_dict_for_list_of_splits)
                 if mod_is_complete:
-                    complete_mods.append(mod)
+                    pathwise_complete_mods.add(mod)
+                # stepwise
+                mod_is_complete = self.adjust_stepwise_completeness_for_bin(mod, metabolism_dict_for_list_of_splits)
+                if mod_is_complete:
+                    stepwise_complete_mods.add(mod)
+                self.adjust_stepwise_copy_number_for_bin(mod, metabolism_dict_for_list_of_splits)
 
 
         # estimate redundancy of each module
         for mod in metabolism_dict_for_list_of_splits.keys():
-            if mod == "num_complete_modules":
-                continue
-
             self.compute_module_redundancy_for_bin(mod, metabolism_dict_for_list_of_splits)
 
 
         # notify user of the modules that gave some fishy results -- but only for genome mode because it's too wordy otherwise
         if not self.quiet and self.genome_mode:
             if mods_with_nonessential_steps:
-                self.run.warning("Please note that anvi'o found one or more non-essential steps in the following KEGG modules: %s.   "
+                self.run.warning("Please note that anvi'o found one or more non-essential steps in the following modules: %s.   "
                                  "At this time, we are not counting these steps in our percent completion estimates."
                                  % (", ".join(mods_with_nonessential_steps)))
 
             if mods_with_unassociated_ko:
-                self.run.warning("Just so you know, while estimating the completeness of some KEGG modules, anvi'o saw "
+                self.run.warning("Just so you know, while estimating the completeness of some modules, anvi'o saw "
                                  "'--' in the module DEFINITION. This indicates a step in the pathway that has no "
-                                 "associated KO. So we really cannot know just based on KOfam hits whether or not this "
+                                 "associated enzyme. So we really cannot know just based on gene annotations whether or not this "
                                  "step is present. By default, anvi'o marks these steps incomplete. But they may not be, "
                                  "and as a result their modules may be falsely considered incomplete. So it may be in your "
                                  "interest to go back and take a look at these individual modules to see if you can find the "
@@ -2816,40 +3789,53 @@ def estimate_for_list_of_splits(self, metabolism_dict_for_list_of_splits, bin_na
         if anvio.DEBUG or self.genome_mode:
             self.run.info("Bin name", bin_name)
             self.run.info("Module completion threshold", self.module_completion_threshold)
-            self.run.info("Number of complete modules", metabolism_dict_for_list_of_splits["num_complete_modules"])
-            if complete_mods:
-                self.run.info("Complete modules", ", ".join(complete_mods))
+            self.run.info("Number of complete modules (pathwise)", len(pathwise_complete_mods))
+            self.run.info("Number of complete modules (stepwise)", len(stepwise_complete_mods))
+            if pathwise_complete_mods:
+                self.run.info("Pathwise complete modules", ", ".join(sorted(list(pathwise_complete_mods))))
+            if stepwise_complete_mods:
+                self.run.info("Stepwise complete modules", ", ".join(sorted(list(stepwise_complete_mods))))
 
         return metabolism_dict_for_list_of_splits
 
-######### REDUNDANCY FUNCTIONS (UNUSED) #########
+######### REDUNDANCY FUNCTIONS (UNUSED IN NON-JSON OUTPUT) #########
 
-    def compute_naive_redundancy_for_path(self, num_ko_hits_in_path_dict):
+    def compute_naive_redundancy_for_path(self, num_ko_hits_in_path):
         """This function computes a naive redundancy measure for a module path, given the number of hits per KO in the path.
 
         naive redundancy = # extra hits / len(path) where a hit is "extra" if it is not the first hit to the KO.
+
+        PARAMETERS
+        ==========
+        num_ko_hits_in_path : list
+            stores the number of copies of each enzyme in path
         """
 
-        extra_hits = [num_ko_hits_in_path_dict[ko] - 1 if num_ko_hits_in_path_dict[ko] > 1 else 0 for ko in num_ko_hits_in_path_dict]
-        return sum(extra_hits)/len(num_ko_hits_in_path_dict.keys())
+        extra_hits = [x - 1 if x > 1 else 0 for x in num_ko_hits_in_path]
+        return sum(extra_hits)/len(num_ko_hits_in_path)
 
 
-    def compute_copywise_redundancy_for_path(self, num_ko_hits_in_path_dict, aggregation_measure="average"):
+    def compute_copywise_redundancy_for_path(self, num_ko_hits_in_path, aggregation_measure="average"):
         """This function computes redundancy based on the completeness of each extra copy of a path.
 
         The 'base' redundancy score is determined by the number of extra copies with 100% completeness.
         The completeness measurements of all other extra copies are aggregated (using the aggregation_measure) and
         added to this 'base' redundancy to get the overall path redundancy.
+
+        PARAMETERS
+        ==========
+        num_ko_hits_in_path : list
+            stores the number of copies of each enzyme in path
         """
 
         accepted_aggregation_measures = ["average", "median", "weighted_sum", "geometric_mean"]
-        extra_hits = [num_ko_hits_in_path_dict[ko] - 1 if num_ko_hits_in_path_dict[ko] > 1 else 0 for ko in num_ko_hits_in_path_dict]
+        extra_hits = [x - 1 if x > 1 else 0 for x in num_ko_hits_in_path]
         base_redundancy = min(extra_hits) # number of extra copies of path that are 100% complete
         extra_copy_completeness = []
         # here we get the completeness of every extra copy of the path
         for i in range((base_redundancy+1), max(extra_hits) + 1):
             num_present_kos_in_copy = len([num_hits for num_hits in extra_hits if num_hits >= i])
-            extra_copy_completeness.append(num_present_kos_in_copy/len(num_ko_hits_in_path_dict.keys()))
+            extra_copy_completeness.append(num_present_kos_in_copy/len(num_ko_hits_in_path))
 
         aggregated_completeness = None
         if not extra_copy_completeness: # this handles the case when ALL extra copies are 100% complete
@@ -2872,12 +3858,18 @@ def compute_copywise_redundancy_for_path(self, num_ko_hits_in_path_dict, aggrega
         return (base_redundancy + aggregated_completeness), extra_copy_completeness
 
 
-    def compute_entropy_weighted_redundancy_for_bin(self, num_ko_hits_in_path_dict):
-        """This function computes naive redundancy but weights it by the entropy of the hit distribution."""
+    def compute_entropy_weighted_redundancy_for_bin(self, num_ko_hits_in_path):
+        """This function computes naive redundancy but weights it by the entropy of the hit distribution.
+
+        PARAMETERS
+        ==========
+        num_ko_hits_in_path : list
+            stores the number of copies of each enzyme in path
+        """
 
-        extra_hits = [num_ko_hits_in_path_dict[ko] - 1 if num_ko_hits_in_path_dict[ko] > 1 else 0 for ko in num_ko_hits_in_path_dict]
+        extra_hits = [x - 1 if x > 1 else 0 for x in num_ko_hits_in_path]
         total_extra_hits = sum(extra_hits)
-        num_kos = len(num_ko_hits_in_path_dict.keys())
+        num_kos = len(num_ko_hits_in_path)
         naive_redundancy = total_extra_hits/num_kos
         if all(e == 0 for e in extra_hits):
             return 0.0
@@ -2892,10 +3884,48 @@ def compute_entropy_weighted_redundancy_for_bin(self, num_ko_hits_in_path_dict):
         return naive_redundancy * entropy/max_entropy
 
 
+    def compute_num_complete_copies_of_path(self, copy_num_of_atomic_steps):
+        """This function computes the number of copies of a path that are >= x% complete,
+        where x is the module completeness threshold.
+
+        It does this based on the provided list in which each entry is the number of copies of
+        each atomic step in the path.
+        - first, these copy numbers are ordered (descending order)
+        - then, we compute N, the number of steps needed to make the path at least X complete, where
+          X is the module completeness threshold
+        - finally, we loop from i=1 to the maximum number of hits. Each time, if the number x of steps
+          with hit count >= i is x >= N, we add 1 to our count of path copy numbers.
+        - the final count of path copy numbers is returned.
+
+        PARAMETERS
+        ==========
+        copy_num_of_atomic_steps : list
+            stores the number of copies of each step in path
+
+        RETURNS
+        ==========
+        copy_number : int
+            number of copies of path which are at least X complete, where X is module completeness threshold
+        """
+
+        import math
+        path_length = len(copy_num_of_atomic_steps)
+        num_enzymes_needed = math.ceil(self.module_completion_threshold * path_length)  # N
+        copy_num_of_atomic_steps.sort(reverse=True)
+
+        copy_number = 0
+        for i in range(1, copy_num_of_atomic_steps[0]+1):
+            x = len([h for h in copy_num_of_atomic_steps if h >= i])
+            if x >= num_enzymes_needed:
+                copy_number += 1
+
+        return copy_number
+
+
     def compute_module_redundancy_for_bin(self, mnum, meta_dict_for_bin):
         """This function calculates the redundancy of the specified module within the given bin metabolism dictionary.
 
-        Each module can have multiple paths, but we only compute redundancy on the paths with the highest completeness
+        Each module can have multiple paths, but (in most cases) we only compute redundancy on the paths with the highest completeness
         (stored under the "most_complete_paths" key). If there are no paths in this list (which only happens when there
         are 0 KOfam hits to the module), then we do not compute redundancy.
 
@@ -2913,19 +3943,16 @@ def compute_module_redundancy_for_bin(self, mnum, meta_dict_for_bin):
         meta_dict_for_bin[mnum]["copywise_completeness_distributions"] = []
         meta_dict_for_bin[mnum]["copywise_median"] = []
         meta_dict_for_bin[mnum]["copywise_weighted-sum"] = []
+        meta_dict_for_bin[mnum]["copywise_geometric-mean"] = []
         meta_dict_for_bin[mnum]["entropy_weighted"] = []
 
         paths_of_highest_completeness = meta_dict_for_bin[mnum]["most_complete_paths"]
         if not paths_of_highest_completeness:
-            # put zero values in dict wherever necessary
             return
 
         for p in paths_of_highest_completeness:
-            kofam_hits_in_path = { ko : meta_dict_for_bin[mnum]["kofam_hits"][ko] for ko in meta_dict_for_bin[mnum]["kofam_hits"].keys() if ko in p }
-            num_hits_per_kofam = { ko : len(kofam_hits_in_path[ko]) for ko in kofam_hits_in_path.keys() }
-            for ko in p:
-                if ko not in num_hits_per_kofam:
-                    num_hits_per_kofam[ko] = 0
+            p = self.split_module_path_into_individual_essential_components(p)
+            num_hits_per_kofam = [len(meta_dict_for_bin[mnum]["kofam_hits"][k]) if k in meta_dict_for_bin[mnum]["kofam_hits"] else 0 for k in p]
 
             # for now, we will try a bunch of different redundancy calculations and put them all into the dictionary until we find the ones we like
             meta_dict_for_bin[mnum]["naive_redundancy"].append(self.compute_naive_redundancy_for_path(num_hits_per_kofam))
@@ -2937,11 +3964,233 @@ def compute_module_redundancy_for_bin(self, mnum, meta_dict_for_bin):
             cw_ws_redundancy, copy_completeness_distribution = self.compute_copywise_redundancy_for_path(num_hits_per_kofam, aggregation_measure="weighted_sum")
             meta_dict_for_bin[mnum]["copywise_weighted-sum"].append(cw_ws_redundancy)
             cw_gm_redundancy, copy_completeness_distribution = self.compute_copywise_redundancy_for_path(num_hits_per_kofam, aggregation_measure="geometric_mean")
-            meta_dict_for_bin[mnum]["copywise_weighted-sum"].append(cw_gm_redundancy)
+            meta_dict_for_bin[mnum]["copywise_geometric-mean"].append(cw_gm_redundancy)
             meta_dict_for_bin[mnum]["entropy_weighted"].append(self.compute_entropy_weighted_redundancy_for_bin(num_hits_per_kofam))
 
         return
 
+
+    def get_step_copy_number(self, step_string, enzyme_hit_counts):
+        """This function recursively calculates the copy number of a step in a module.
+
+        It parses the definition string of a step and recurses as needed to compute copy number of
+        substeps. Copy numbers of any substeps are mathematically combined to obtain a copy number for
+        the step as a whole.
+
+        The key base case in the recursion is an individual enzyme accession, for which the copy number
+        is simply the number of times it is annotated in the sample (which we obtain from the enzyme_hit_counts dictionary).
+
+        Combining copy numbers works as follows: If two enzymes (or substeps) are connected by an AND, then we need both, so
+        we take the minimum copy number of both of them. If they are connected by an OR, then we can use either, so we can sum
+        their copy numbers. In doing this, we follow correct order of operations, as established by any parentheses in the step definition.
+
+        In short, this function accomplishes the same thing as modifying the step definition by replacing spaces and '+' signs with min()
+        operations, replacing commas with + operations, and replacing enzyme accessions with their corresponding hit counts; then returning
+        the value obtained by evaluating the resulting arithmetic expression.
+
+        Some steps are defined by other modules. When module accessions are found, [FIXME]
+
+        PARAMETERS
+        ==========
+        step_string : str
+            A string containing the definition of one step (or substep) from a module
+        enzyme_hit_counts : dict
+            Keys are enzyme accessions, values are the number of times the enzyme was annotated in the current sample
+
+        RETURNS
+        ==========
+        The copy number (int) of the given step/substep
+        """
+
+        # first, eliminate non-essential KOs from the step definition so they won't be considered
+        step_string = self.remove_nonessential_enzymes_from_module_step(step_string)
+
+        # sometimes a step will have commas outside parentheses. In this case, we need to split those first for proper order of operations
+        step_list = utils.split_by_delim_not_within_parens(step_string, ",")
+        if len(step_list) > 1:
+            added_step_count = 0
+            # call recursively on each split
+            for s in step_list:
+                added_step_count += self.get_step_copy_number(s, enzyme_hit_counts)
+            # combine results using addition and return
+            return added_step_count
+
+        # complex case - parentheses surround substeps, which need to be counted recursively and appropriately combined
+        if '(' in step_string:
+            open_parens_idx = step_string.index('(') # first (outermost) parenthesis
+            close_parens_idx = None
+
+            # find matching parenthesis
+            i = open_parens_idx + 1
+            parens_level = 1
+            while not close_parens_idx:
+                if step_string[i] == '(':
+                    parens_level += 1
+                if step_string[i] == ')':
+                    parens_level -= 1
+
+                    if parens_level == 0:
+                        close_parens_idx = i
+                i += 1
+
+            # call recursively on string within outermost parentheses
+            sub_step = step_string[open_parens_idx+1:close_parens_idx]
+            sub_copy_num = self.get_step_copy_number(sub_step, enzyme_hit_counts)
+
+            # parse the rest of the string and combine with the copy number of the stuff within parentheses
+            step_copy_num = 0
+            # handle anything prior to parentheses
+            if open_parens_idx > 0:
+                previous_str = step_string[:open_parens_idx]
+
+                previous_steps = previous_str[:-1]
+                prev_copy = self.get_step_copy_number(previous_steps, enzyme_hit_counts)
+
+                combo_element = previous_str[-1]
+                if combo_element == ',': # OR
+                    step_copy_num += (prev_copy + sub_copy_num)
+                if combo_element == ' ' or combo_element == '+': # AND
+                    step_copy_num += min(prev_copy,sub_copy_num)
+
+            # handle anything following parentheses
+            if close_parens_idx < len(step_string) - 1:
+                post_str = step_string[close_parens_idx+1:]
+
+                post_steps = step_string[close_parens_idx+2:]
+                post_copy = self.get_step_copy_number(post_steps, enzyme_hit_counts)
+
+                combo_element = step_string[close_parens_idx+1]
+                if combo_element == ',': # OR
+                    step_copy_num += (sub_copy_num + post_copy)
+                if combo_element == ' ' or combo_element == '+': # AND
+                    step_copy_num += min(sub_copy_num,post_copy)
+
+            # handle edge case where parentheses circles entire step
+            if (open_parens_idx == 0) and (close_parens_idx == len(step_string) - 1):
+                step_copy_num += sub_copy_num
+
+            return step_copy_num
+
+        # simple case - no substeps within parentheses
+        else:
+            if ',' in step_string: # OR - combine copy numbers using addition
+                or_splits = step_string.split(',')
+                added_step_count = 0
+                for s in or_splits:
+                    added_step_count += self.get_step_copy_number(s, enzyme_hit_counts)
+                return added_step_count
+
+            elif ' ' in step_string or '+' in step_string: # AND - combine copy numbers using min()
+                and_splits = step_string.replace('+', ' ').split(' ')
+                min_step_count = None
+                for s in and_splits:
+                    s_count = self.get_step_copy_number(s, enzyme_hit_counts)
+                    if not min_step_count:
+                        min_step_count = s_count # make first step the minimum
+                    min_step_count = min(min_step_count, s_count)
+                return min_step_count
+
+            # base cases
+            elif '-' in step_string:
+                if step_string == '--': # no KO profile => no copy number
+                    return 0
+                else: # contains non-essential KO, should never happen because we eliminated them above
+                    raise ConfigError(f"Something is very wrong, because the get_step_copy_number() function found a nonessential "
+                                      f"enzyme in the step definition {step_string}")
+            elif step_string == '': # entire step was nonessential KO, skip computation
+                return None
+            else: # accession
+                if step_string in self.all_modules_in_db: # module
+                    if step_string in enzyme_hit_counts: # we are currently adjusting, and know the module copy number
+                        return enzyme_hit_counts[step_string]
+                    else: # return 0 for now, will be adjusted later
+                        return 0
+                else: # enzyme
+                    if step_string not in enzyme_hit_counts:
+                        return 0
+                    return enzyme_hit_counts[step_string]
+
+
+    def compute_stepwise_module_copy_number_for_bin(self, mnum, meta_dict_for_bin):
+        """This function calculates the copy number of the specified module within the given bin metabolism dictionary.
+
+        It goes through the top-level steps established by compute_stepwise_module_completeness_for_bin() and determines the
+        copy number of each step. Then, the overall module copy number is calculated as the minimum copy number of all steps.
+
+        PARAMETERS
+        ==========
+        mnum : string
+            module number to work on
+        meta_dict_for_bin : dictionary of dictionaries
+            metabolism completeness dict for the current bin, to be modified in-place
+
+        NEW KEYS ADDED TO METABOLISM COMPLETENESS DICT
+        =======
+        "stepwise_copy_number"         the stepwise copy number of the module
+
+        [keys added in "top_level_step_info" dictionary]
+            "copy_number"              the copy number of an individual step
+        """
+
+        enzyme_hits_dict = {k : len(meta_dict_for_bin[mnum]["kofam_hits"][k]) for k in meta_dict_for_bin[mnum]["kofam_hits"] }
+
+        all_step_copy_nums = []
+        for key in meta_dict_for_bin[mnum]["top_level_step_info"]:
+            if not meta_dict_for_bin[mnum]["top_level_step_info"][key]["includes_modules"]:
+                step_string = meta_dict_for_bin[mnum]["top_level_step_info"][key]["step_definition"]
+
+                step_copy_num = self.get_step_copy_number(step_string, enzyme_hits_dict)
+                meta_dict_for_bin[mnum]["top_level_step_info"][key]["copy_number"] = step_copy_num
+                if step_copy_num is not None: # avoid taking minimum of None values (from non-essential steps)
+                    all_step_copy_nums.append(step_copy_num)
+
+        if all_step_copy_nums:
+            module_stepwise_copy_num = min(all_step_copy_nums)
+        else:
+            module_stepwise_copy_num = None
+        meta_dict_for_bin[mnum]["stepwise_copy_number"] = module_stepwise_copy_num
+
+
+    def adjust_stepwise_copy_number_for_bin(self, mnum, meta_dict_for_bin):
+        """This function adjusts stepwise copy number of modules that are defined by other modules.
+
+        This can only be done after all other modules have had their copy numbers calculated and added to the metabolism dictionary
+        by the function compute_stepwise_module_copy_number_for_bin().
+
+        The function goes through the top-level steps in the module and re-computes copy number for steps that include other modules.
+        Then it re-calculates the overall module copy number as the minimum copy number of all steps. It updates the metabolism completess
+        dictionary accordingly.
+
+        PARAMETERS
+        ==========
+        mnum : string
+            the module number to adjust
+        meta_dict_for_bin : dictionary of dictionaries
+            metabolism completeness dictionary for the current bin
+        """
+
+        enzyme_hits_dict = {k : len(meta_dict_for_bin[mnum]["kofam_hits"][k]) for k in meta_dict_for_bin[mnum]["kofam_hits"] }
+
+        all_step_copy_nums = []
+        for key in meta_dict_for_bin[mnum]["top_level_step_info"]:
+            # re-calculate ONLY for steps with modules in definition
+            if meta_dict_for_bin[mnum]["top_level_step_info"][key]["includes_modules"]:
+                step_string = meta_dict_for_bin[mnum]["top_level_step_info"][key]["step_definition"]
+
+                for included_module in meta_dict_for_bin[mnum]["top_level_step_info"][key]["included_module_list"]:
+                    enzyme_hits_dict[included_module] = meta_dict_for_bin[included_module]["stepwise_copy_number"]
+
+                step_copy_num = self.get_step_copy_number(step_string, enzyme_hits_dict)
+                meta_dict_for_bin[mnum]["top_level_step_info"][key]["copy_number"] = step_copy_num
+
+            # take minimum over all steps, even those not defined by modules
+            if meta_dict_for_bin[mnum]["top_level_step_info"][key]["copy_number"] is not None: # avoid taking minimum of None values (from non-essential steps)
+                all_step_copy_nums.append(meta_dict_for_bin[mnum]["top_level_step_info"][key]["copy_number"])
+
+        module_stepwise_copy_num = min(all_step_copy_nums)
+        meta_dict_for_bin[mnum]["stepwise_copy_number"] = module_stepwise_copy_num
+
+
 ######### ESTIMATION DRIVER FUNCTIONS #########
 
     def estimate_for_genome(self, kofam_gene_split_contig):
@@ -3111,6 +4360,37 @@ def estimate_metabolism_from_json_data(self):
 
         filesnpaths.is_file_json_formatted(self.estimate_from_json)
         kegg_metabolism_superdict = json.load(open(self.estimate_from_json), parse_int=int)
+        if ('USER' in kegg_metabolism_superdict['data_sources'] and not self.user_input_dir):
+            raise ConfigError(f"You provided a JSON file generated from USER data, but you "
+                              f"did not specify which data directory to use with the `--user-modules` flag.")
+        if (kegg_metabolism_superdict['data_sources'] == 'KEGG' and self.user_input_dir):
+            raise ConfigError(f"You provided a JSON file generated from {kegg_metabolism_superdict['data_source']} data only, but then "
+                              f"you provided us with a USER metabolism data directory. You should not use the `--user-modules` flag for this file.")
+
+        if 'KEGG' in kegg_metabolism_superdict['data_sources']:
+            kegg_modules_db = ModulesDatabase(self.kegg_modules_db_path, args=self.args, quiet=self.quiet)
+            mod_db_hash = kegg_modules_db.db.get_meta_value('hash')
+            kegg_modules_db.disconnect()
+
+            if mod_db_hash != kegg_metabolism_superdict['kegg_modules_db_hash']:
+                raise ConfigError(f"The modules database in the data directory you provided (or the default KEGG data directory, if you didn't "
+                                  f"provide anything) has a different hash than the one used to generate this JSON input file. You probably need "
+                                  f"to specify a different data directory so that we can use the modules DB with a matching hash. FYI, the hash in "
+                                  f"the JSON file is {kegg_metabolism_superdict['kegg_modules_db_hash']} and the hash in the current modules DB "
+                                  f"(at path `{self.kegg_modules_db_path}`) is {mod_db_hash}.")
+
+        if self.user_input_dir:
+            user_modules_db = ModulesDatabase(self.user_modules_db_path, args=self.args, quiet=self.quiet)
+            mod_db_hash = user_modules_db.db.get_meta_value('hash')
+            user_modules_db.disconnect()
+
+            if mod_db_hash != kegg_metabolism_superdict['user_modules_db_hash']:
+                raise ConfigError(f"The modules database in the data directory you provided with --user-modules "
+                                  f"has a different hash than the one used to generate this JSON input file. You probably need "
+                                  f"to specify a different data directory so that we can use the modules DB with a matching hash. FYI, the hash in "
+                                  f"the JSON file is {kegg_metabolism_superdict['user_modules_db_hash']} and the hash in the current modules DB "
+                                  f"(at path `{self.user_modules_db_path}`) is {mod_db_hash}.")
+
         new_kegg_metabolism_superdict = {}
 
         expected_keys_for_module = {"gene_caller_ids", "kofam_hits", "genes_to_contigs", "contigs_to_genes"}
@@ -3118,17 +4398,14 @@ def estimate_metabolism_from_json_data(self):
         additional_keys = set([])
 
         self.init_data_from_modules_db()
-        self.init_paths_for_modules()
 
         for bin_name, meta_dict_for_bin in kegg_metabolism_superdict.items():
-            bins_found.append(bin_name)
+            if bin_name in ['data_sources', 'kegg_modules_db_hash', 'user_modules_db_hash']:
+                continue
+            else:
+                bins_found.append(bin_name)
+
             for mod, mod_dict in meta_dict_for_bin.items():
-                if mod == "num_complete_modules":
-                    self.run.warning("Your JSON file appears to have been generated from data that already contains metabolic module completeness information. "
-                                     "We say this because the key 'num_complete_modules' was found. This isn't a problem; however you should know that anvi'o "
-                                     "won't take any of the existing estimation information into account. The only module-level keys that will be used from this file "
-                                     "are: %s" % (expected_keys_for_module))
-                    continue
                 # verify that dict contains the necessary keys for estimation
                 if not expected_keys_for_module.issubset(set(mod_dict.keys())):
                     missing_keys = expected_keys_for_module.difference(set(mod_dict.keys()))
@@ -3138,11 +4415,12 @@ def estimate_metabolism_from_json_data(self):
 
                 additional_keys = additional_keys.union(set(mod_dict.keys()).difference(expected_keys_for_module))
 
-                # convert gene_caller_ids and contigs_to_genes lists to sets
+                # convert certain lists to sets
                 mod_dict['gene_caller_ids'] = set(mod_dict['gene_caller_ids'])
                 for contig, gene_list in mod_dict['contigs_to_genes'].items():
                     mod_dict['contigs_to_genes'][contig] = set(gene_list)
                 mod_dict['genes_to_contigs'] = {int(g):c for g,c in mod_dict['genes_to_contigs'].items()}
+                mod_dict['warnings'] = set(mod_dict['warnings'])
 
             new_kegg_metabolism_superdict[bin_name] = self.estimate_for_list_of_splits(meta_dict_for_bin, bin_name=bin_name)
             single_bin_module_superdict = {bin_name: new_kegg_metabolism_superdict[bin_name]}
@@ -3216,9 +4494,8 @@ def load_data_from_enzymes_txt(self):
             modules_coverage_headers = [self.contigs_db_project_name + "_gene_coverages", self.contigs_db_project_name + "_avg_coverage",
                                         self.contigs_db_project_name + "_gene_detection", self.contigs_db_project_name + "_avg_detection"]
             for h in kofam_hits_coverage_headers:
-                for mode in ["hits_in_modules", "hits"]:
-                    if h in self.available_modes[mode]["headers"]:
-                        self.available_modes[mode]["headers"].remove(h)
+                if h in self.available_modes["hits"]["headers"]:
+                    self.available_modes["hits"]["headers"].remove(h)
             for h in modules_coverage_headers:
                 if h in self.available_modes["modules"]["headers"]:
                     self.available_modes["modules"]["headers"].remove(h)
@@ -3269,7 +4546,7 @@ def estimate_metabolism_from_enzymes_txt(self):
 
 
     def estimate_metabolism(self, skip_storing_data=False, output_files_dictionary=None, return_superdicts=False,
-                            return_subset_for_matrix_format=False):
+                            return_subset_for_matrix_format=False, all_modules_in_db=None, all_kos_in_db=None, module_paths_dict=None):
         """This is the driver function for estimating metabolism for a single contigs DB.
 
         It will decide what to do based on whether the input contigs DB is a genome or metagenome.
@@ -3292,6 +4569,15 @@ def estimate_metabolism(self, skip_storing_data=False, output_files_dictionary=N
         return_subset_for_matrix_format : boolean
             set to True if you want subsets of the superdicts to be returned: one subdict for module completeness scores, one
             subdict for module presence/absence, and one subdict for KO hits. Used for matrix format output.
+        all_modules_in_db : dictionary
+            if this function is called from the KeggMetabolismEstimatorMulti class, this parameter contains the module information
+            loaded from the MODULES.db in init_data_from_modules_db(). Otherwise, it is None and this function will have to call
+            init_data_from_modules_db()
+        all_kos_in_db : dictionary
+            This is the same deal as the all_modules_in_db param - it should only have a value if passed from the
+            KeggMetabolismEstimatorMulti class
+        module_paths_dict : dictionary
+            Again, same thing as all_modules_in_db param - only provided if passed from KeggMetabolismEstimatorMulti
 
         RETURNS
         =======
@@ -3306,8 +4592,6 @@ def estimate_metabolism(self, skip_storing_data=False, output_files_dictionary=N
         kegg_metabolism_superdict = {}
         kofam_hits_superdict = {}
 
-        self.kegg_modules_db = KeggModulesDatabase(self.kegg_modules_db_path, args=self.args, run=run_quiet, quiet=self.quiet)
-
         if skip_storing_data or self.write_dict_to_json:
             self.output_file_dict = {}
         else:
@@ -3317,32 +4601,38 @@ def estimate_metabolism(self, skip_storing_data=False, output_files_dictionary=N
                 self.output_file_dict = self.setup_output_for_appending()
 
         if self.estimate_from_json:
-            kegg_metabolism_superdict = self.estimate_metabolism_from_json_data() ## TODO: fix this for user data
+            kegg_metabolism_superdict = self.estimate_metabolism_from_json_data()
         else:
-            self.init_data_from_modules_db()
-
-            kofam_hits_info = self.init_hits_and_splits()
-            self.init_paths_for_modules()
-
-            kofam_hits_info = self.init_hits_and_splits(annotation_sources=self.annotation_sources_to_use)
+            # we either get the modules DB info from the previous class, or we have to initialize it here
+            if all_modules_in_db:
+                self.all_modules_in_db = all_modules_in_db
+                self.all_kos_in_db = all_kos_in_db
+                self.module_paths_dict = module_paths_dict
+            else:
+                self.init_data_from_modules_db()
 
-            if self.add_coverage:
-                self.init_gene_coverage(gcids_for_kofam_hits={int(tpl[1]) for tpl in kofam_hits_info})
-
-            if self.profile_db_path and self.collection_name and not self.metagenome_mode:
-                kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_bins_in_collection(kofam_hits_info)
-            elif not self.collection_name and not self.metagenome_mode:
-                self.genome_mode = True
-                kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_genome(kofam_hits_info)
-            elif self.metagenome_mode:
-                kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_contigs_db_for_metagenome(kofam_hits_info)
+            if self.enzymes_txt:
+                self.enzymes_txt_data = self.load_data_from_enzymes_txt()
+                kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_metabolism_from_enzymes_txt()
             else:
-                raise ConfigError("This class doesn't know how to deal with that yet :/")
+                kofam_hits_info = self.init_hits_and_splits(annotation_sources=self.annotation_sources_to_use)
+
+                if self.add_coverage:
+                    self.init_gene_coverage(gcids_for_kofam_hits={int(tpl[1]) for tpl in kofam_hits_info})
+
+                if self.profile_db_path and self.collection_name and not self.metagenome_mode:
+                    kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_bins_in_collection(kofam_hits_info)
+                elif not self.collection_name and not self.metagenome_mode:
+                    self.genome_mode = True
+                    kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_genome(kofam_hits_info)
+                elif self.metagenome_mode:
+                    kegg_metabolism_superdict, kofam_hits_superdict = self.estimate_for_contigs_db_for_metagenome(kofam_hits_info)
+                else:
+                    raise ConfigError("This class doesn't know how to deal with that yet :/")
 
         if self.write_dict_to_json:
             self.store_metabolism_superdict_as_json(kegg_metabolism_superdict, self.json_output_file_path + ".json")
 
-        self.kegg_modules_db.disconnect()
         if not self.multi_mode:
             for mode, file_object in self.output_file_dict.items():
                 file_object.close()
@@ -3361,6 +4651,165 @@ def estimate_metabolism(self, skip_storing_data=False, output_files_dictionary=N
 
 ######### OUTPUT DICTIONARY FUNCTIONS #########
 
+    def add_common_elements_to_output_dict_for_module_in_bin(self, bin, mnum, c_dict, headers_to_include, headers_in_c_dict, d):
+        """This function fills in the provided modules dictionary with data common to all module-related output modes.
+
+        It's designed to be called from the function generate_output_dict_for_modules(), which sets up the modules dictionary
+        and handles the self.modules_unique_id key. For that reason, it is best understood by taking a look at that function
+        first. Most parameters are named to be consistent with the variables in that function.
+
+        The provided modules dictionary will be modified in-place.
+
+        PARAMETERS
+        ==========
+        bin : str
+            current bin name
+        mnum : str
+            current module number
+        c_dict : dictionary
+            fourth level of module completion dictionary corresponding to current module
+        headers_to_include : list
+            which headers to include in the output dictionary
+        headers_in_c_dict : list
+            headers that we can include directly from the c_dict without further processing
+        d : dict
+            the modules output dictionary that needs to be added to
+        """
+
+        # fetch module info
+        metadata_dict = self.get_module_metadata_dictionary(mnum)
+        definition_list = self.all_modules_in_db[mnum]["DEFINITION"]
+        if not isinstance(definition_list, list):
+            definition_list = [definition_list]
+        module_def = '"' + " ".join(definition_list) + '"'
+
+        # top-level keys and keys not in superdict
+        if self.name_header in headers_to_include:
+            d[self.modules_unique_id][self.name_header] = bin
+        if "db_name" in headers_to_include:
+            d[self.modules_unique_id]["db_name"] = self.database_name
+        if 'module' in headers_to_include:
+            d[self.modules_unique_id]['module'] = mnum
+
+        # module-specific info
+        if "module_name" in headers_to_include:
+            d[self.modules_unique_id]["module_name"] = metadata_dict["module_name"]
+        if "module_class" in headers_to_include:
+            d[self.modules_unique_id]["module_class"] = metadata_dict["module_class"]
+        if "module_category" in headers_to_include:
+            d[self.modules_unique_id]["module_category"] = metadata_dict["module_category"]
+        if "module_subcategory" in headers_to_include:
+            d[self.modules_unique_id]["module_subcategory"] = metadata_dict["module_subcategory"]
+        if "module_definition" in headers_to_include:
+            d[self.modules_unique_id]["module_definition"] = module_def
+        if "module_substrates" in headers_to_include:
+            if self.all_modules_in_db[mnum]['substrate_list']:
+                d[self.modules_unique_id]["module_substrates"] = ",".join(self.all_modules_in_db[mnum]['substrate_list'])
+            else:
+                d[self.modules_unique_id]["module_substrates"] = "None"
+        if "module_products" in headers_to_include:
+            if self.all_modules_in_db[mnum]['product_list']:
+                d[self.modules_unique_id]["module_products"] = ",".join(self.all_modules_in_db[mnum]['product_list'])
+            else:
+                d[self.modules_unique_id]["module_products"] = "None"
+        if "module_intermediates" in headers_to_include:
+            if self.all_modules_in_db[mnum]['intermediate_list']:
+                d[self.modules_unique_id]["module_intermediates"] = ",".join(self.all_modules_in_db[mnum]['intermediate_list'])
+            else:
+                d[self.modules_unique_id]["module_intermediates"] = "None"
+
+        # comma-separated lists of KOs and gene calls in module
+        kos_in_mod = sorted(c_dict['kofam_hits'].keys())
+        # gene call list should be in same order as KO list
+        gcids_in_mod = []
+        kos_in_mod_list = []
+        if kos_in_mod:
+            for ko in kos_in_mod:
+                gcids_in_mod += [str(x) for x in c_dict["kofam_hits"][ko]]
+                kos_in_mod_list += [ko for x in c_dict["kofam_hits"][ko]]
+        if "enzyme_hits_in_module" in headers_to_include:
+            d[self.modules_unique_id]["enzyme_hits_in_module"] = ",".join(kos_in_mod_list)
+        if "gene_caller_ids_in_module" in headers_to_include:
+            d[self.modules_unique_id]["gene_caller_ids_in_module"] = ",".join(gcids_in_mod)
+
+        # comma-separated list of warnings
+        if "warnings" in headers_to_include:
+            if not c_dict["warnings"]:
+                d[self.modules_unique_id]["warnings"] = "None"
+            else:
+                d[self.modules_unique_id]["warnings"] = ",".join(c_dict["warnings"])
+
+        # list of enzymes unique to module
+        unique_enzymes = sorted(list(c_dict["unique_to_this_module"]))
+        if "enzymes_unique_to_module" in headers_to_include:
+            if unique_enzymes:
+                d[self.modules_unique_id]["enzymes_unique_to_module"] = ",".join(unique_enzymes)
+            else:
+                d[self.modules_unique_id]["enzymes_unique_to_module"] = "No enzymes unique to module"
+        if "unique_enzymes_hit_counts" in headers_to_include:
+            if unique_enzymes:
+                hit_count_list = []
+                for e in unique_enzymes:
+                    hit_count_list.append(str(len(c_dict["kofam_hits"][e])))
+                d[self.modules_unique_id]["unique_enzymes_hit_counts"] = ",".join(hit_count_list)
+            else:
+                d[self.modules_unique_id]["unique_enzymes_hit_counts"] = "NA"
+
+        # everything else at c_dict level
+        for h in headers_in_c_dict:
+            if h not in self.available_headers.keys():
+                raise ConfigError("Requested header %s not available." % (h))
+            h_cdict_key = self.available_headers[h]['cdict_key']
+            if not h_cdict_key:
+                raise ConfigError("We don't know the corresponding key in metabolism completeness dict for header %s." % (h))
+
+            value = c_dict[h_cdict_key]
+            if isinstance(value, list):
+                if not value:
+                    value = "None"
+                else:
+                    value = ",".join(value)
+            d[self.modules_unique_id][h] = value
+
+        # add module copy number if requested
+        if self.add_copy_number:
+            # pathwise: we take the maximum copy number of all the paths of highest completeness
+            if "pathwise_copy_number" in headers_to_include:
+                d[self.modules_unique_id]["pathwise_copy_number"] = c_dict["pathwise_copy_number"]
+
+            # stepwise copy number
+            if "stepwise_copy_number" in headers_to_include:
+                d[self.modules_unique_id]["stepwise_copy_number"] = c_dict["stepwise_copy_number"]
+            if "per_step_copy_numbers" in headers_to_include:
+                step_copy_numbers = []
+                for step in c_dict["top_level_step_info"]:
+                    step_copy_numbers.append(str(c_dict["top_level_step_info"][step]["copy_number"]))
+                d[self.modules_unique_id]["per_step_copy_numbers"] = ",".join(step_copy_numbers)
+
+        # add coverage if requested
+        if self.add_coverage:
+            for s in self.coverage_sample_list:
+                sample_cov_header = s + "_gene_coverages"
+                sample_det_header = s + "_gene_detection"
+                sample_avg_cov_header = s + "_avg_coverage"
+                sample_avg_det_header = s + "_avg_detection"
+
+                gene_coverages_in_mod = []
+                gene_detection_in_mod = []
+                for gc in gcids_in_mod:
+                    if self.enzymes_txt:
+                        gc_idx = gc
+                    else:
+                        gc_idx = int(gc)
+                    gene_coverages_in_mod.append(c_dict["genes_to_coverage"][s][gc_idx])
+                    gene_detection_in_mod.append(c_dict["genes_to_detection"][s][gc_idx])
+
+                d[self.modules_unique_id][sample_cov_header] = ",".join([str(c) for c in gene_coverages_in_mod])
+                d[self.modules_unique_id][sample_det_header] = ",".join([str(d) for d in gene_detection_in_mod])
+                d[self.modules_unique_id][sample_avg_cov_header] = c_dict["average_coverage_per_sample"][s]
+                d[self.modules_unique_id][sample_avg_det_header] = c_dict["average_detection_per_sample"][s]
+
+
     def generate_output_dict_for_modules(self, kegg_superdict, headers_to_include=None, only_complete_modules=False, exclude_zero_completeness=True):
         """This dictionary converts the metabolism superdict to a two-level dict containing desired headers for output.
 
@@ -3381,13 +4830,14 @@ def generate_output_dict_for_modules(self, kegg_superdict, headers_to_include=No
                 "pathway_completeness":     [0.66, 0.66, ...]
                 "present_nonessential_kos":      []
                 "most_complete_paths":           [['K00033','K01057','K02222'], ['K00033','K01057','K00036'], ...]
-                "percent_complete":              0.66
-                "complete":                      False
+                "pathwise_percent_complete":              0.66
+                "pathwise_is_complete":                      False
+                (.....)
                                       }
 
         To distill this information into one line, we need to convert the dictionary on-the-fly to a dict of dicts,
-        where each bin-module-path-kofam_hit-gene_caller_id is keyed by an arbitrary integer. There will be a lot of redundant information
-        in the rows.
+        where each bin-module, bin-module-path, or bin-module-step (depending on output mode) is keyed by an arbitrary integer.
+        There will be a lot of redundant information in the rows.
 
         PARAMETERS
         ==========
@@ -3421,243 +4871,89 @@ def generate_output_dict_for_modules(self, kegg_superdict, headers_to_include=No
             raise ConfigError("Some unavailable headers were requested. These include: %s" % (", ".join(illegal_headers)))
 
         module_level_headers = set(["module_name", "module_class", "module_category", "module_subcategory", "module_definition",
-                                    "module_substrates", "module_products", "module_intermediates"])
-        path_and_ko_level_headers = set(["path_id", "path", "path_completeness", "kofam_hit", "gene_caller_id", "contig"])
+                                    "module_substrates", "module_products", "module_intermediates", "warnings", "enzymes_unique_to_module",
+                                    "unique_enzymes_hit_counts"])
+        path_level_headers = set(["path_id", "path", "path_completeness", "num_complete_copies_of_path"])
+        step_level_headers = set(["step_id", "step", "step_completeness", "step_copy_number"])
+
+        requested_path_info = headers_to_include.intersection(path_level_headers)
+        requested_step_info = headers_to_include.intersection(step_level_headers)
+        if requested_path_info and requested_step_info:
+            raise ConfigError(f"Oh, bother. It seems you have requested both path-level headers and step-level headers for your modules-related "
+                              f"output. Unfortunately, these two types of information are incompatible and cannot be put into the same output "
+                              f"file due to the way we internally organize the data. Sorry. If you want both types of information, we recommend "
+                              f"requesting both in separate files using `--output-modes module_paths,module_steps`. If you absolutely need custom "
+                              f"formatting for the output files, then you can run this program twice and each time provide either only path-level "
+                              f"headers or only step-level headers to the `--custom-output-headers` flag. To help you out, here are the path-level "
+                              f"headers that you requested: {', '.join(requested_path_info)}. And here are the step-level headers that you requested: "
+                              f"{', '.join(requested_step_info)}")
+
         keys_not_in_superdict = set([h for h in self.available_headers.keys() if self.available_headers[h]['cdict_key'] is None])
+
         remaining_headers = headers_to_include.difference(keys_not_in_superdict)
         remaining_headers = remaining_headers.difference(module_level_headers)
-        remaining_headers = remaining_headers.difference(path_and_ko_level_headers)
+        remaining_headers = remaining_headers.difference(path_level_headers)
+        remaining_headers = remaining_headers.difference(step_level_headers)
 
         # convert to two-level dict where unique id keys for a dictionary of information for each bin/module pair
         d = {}
         if not self.modules_unique_id:
              self.modules_unique_id = 0
-        """
-        ### FIXME ###
-        The unique_id problematic to deal with when we are generating multiple output files because this self.modules_unique_id
-        variable is shared between all output files. Since we append to each output file in turn, this means that within an
-        output file the unique_id column will have 'jumps' in value (such that a row's unique_id is not always 1 greater than the
-        previous row's unique_id). This does not really cause problems and is not an urgent fix, per se, but it looks weird.
-        ### FIXME ###
-        """
 
         for bin, mod_dict in kegg_superdict.items():
             for mnum, c_dict in mod_dict.items():
-                if mnum == "num_complete_modules":
-                    continue
-
                 if anvio.DEBUG:
                     self.run.info("Generating output for module", mnum)
 
-                if only_complete_modules and not c_dict["complete"]:
+                if only_complete_modules and not (c_dict["pathwise_is_complete"] or c_dict["stepwise_is_complete"]):
                     continue
-                if exclude_zero_completeness and c_dict["percent_complete"] == 0:
+                if exclude_zero_completeness and (c_dict["pathwise_percent_complete"] == 0 and c_dict["stepwise_completeness"] == 0):
                     continue
 
-                # fetch module info from db
-                metadata_dict = self.get_module_metadata_dictionary(mnum)
-                definition_list = self.all_modules_in_db[mnum]["DEFINITION"]
-                if not isinstance(definition_list, list):
-                    definition_list = [definition_list]
-                module_def = '"' + " ".join(definition_list) + '"'
-                module_substrate_list, module_intermediate_list, module_product_list = self.kegg_modules_db.get_human_readable_compound_lists_for_module(mnum)
-
-                # handle path- and ko-level information
-                if headers_to_include.intersection(path_and_ko_level_headers):
-                    for p_index in range(len(self.module_paths_dict[mnum])):
-                        p = self.module_paths_dict[mnum][p_index]
-
-                        # handle ko-level information
-                        for ko in c_dict['kofam_hits']:
-
-                            # some paths include protein complexes, so we must look for KO within these protein complexes as well
-                            kos_in_path = set([])
-                            for ko_or_complex in p:
-                                split_kos = re.split('\+|\-', ko_or_complex)
-                                kos_in_path.update(split_kos)
-                            if ko not in kos_in_path:
-                                continue
-
-                            for gc_id in c_dict["kofam_hits"][ko]:
-                                d[self.modules_unique_id] = {}
-
-                                # kofam hit specific info
-                                if "kofam_hit" in headers_to_include:
-                                    d[self.modules_unique_id]["kofam_hit"] = ko
-                                if "gene_caller_id" in headers_to_include:
-                                    d[self.modules_unique_id]["gene_caller_id"] = gc_id
-                                if "contig" in headers_to_include:
-                                    d[self.modules_unique_id]["contig"] = c_dict["genes_to_contigs"][gc_id]
-
-                                # add gene coverage if requested
-                                if self.add_coverage:
-                                    for s in self.coverage_sample_list:
-                                        sample_cov_header = s + "_coverage"
-                                        d[self.modules_unique_id][sample_cov_header] = c_dict["genes_to_coverage"][s][gc_id]
-                                        sample_det_header = s + "_detection"
-                                        d[self.modules_unique_id][sample_det_header] = c_dict["genes_to_detection"][s][gc_id]
-
-                                # repeated information for each hit
-                                # path specific info
-                                if "path_id" in headers_to_include:
-                                    d[self.modules_unique_id]["path_id"] = p_index
-                                if "path" in headers_to_include:
-                                    d[self.modules_unique_id]["path"] = ",".join(p)
-                                if "path_completeness" in headers_to_include:
-                                    d[self.modules_unique_id]["path_completeness"] = c_dict["pathway_completeness"][p_index]
-
-                                # top-level keys and keys not in superdict
-                                if self.name_header in headers_to_include:
-                                    d[self.modules_unique_id][self.name_header] = bin
-                                if "db_name" in headers_to_include:
-                                    d[self.modules_unique_id]["db_name"] = self.database_name
-                                if "kegg_module" in headers_to_include:
-                                    d[self.modules_unique_id]["kegg_module"] = mnum
-
-                                # module specific info
-                                if "module_name" in headers_to_include:
-                                    d[self.modules_unique_id]["module_name"] = metadata_dict["module_name"]
-                                if "module_class" in headers_to_include:
-                                    d[self.modules_unique_id]["module_class"] = metadata_dict["module_class"]
-                                if "module_category" in headers_to_include:
-                                    d[self.modules_unique_id]["module_category"] = metadata_dict["module_category"]
-                                if "module_subcategory" in headers_to_include:
-                                    d[self.modules_unique_id]["module_subcategory"] = metadata_dict["module_subcategory"]
-                                if "module_definition" in headers_to_include:
-                                    d[self.modules_unique_id]["module_definition"] = module_def
-                                if "module_substrates" in headers_to_include:
-                                    if module_substrate_list:
-                                        d[self.modules_unique_id]["module_substrates"] = ",".join(module_substrate_list)
-                                    else:
-                                        d[self.modules_unique_id]["module_substrates"] = "None"
-                                if "module_products" in headers_to_include:
-                                    if module_product_list:
-                                        d[self.modules_unique_id]["module_products"] = ",".join(module_product_list)
-                                    else:
-                                        d[self.modules_unique_id]["module_products"] = "None"
-                                if "module_intermediates" in headers_to_include:
-                                    if module_intermediate_list:
-                                        d[self.modules_unique_id]["module_intermediates"] = ",".join(module_intermediate_list)
-                                    else:
-                                        d[self.modules_unique_id]["module_intermediates"] = "None"
-
-                                # comma-separated lists of KOs and gene calls in module
-                                kos_in_mod = sorted(c_dict['kofam_hits'].keys())
-                                # gene call list should be in same order as KO list
-                                gcids_in_mod = []
-                                kos_in_mod_list = []
-                                if kos_in_mod:
-                                    for ko in kos_in_mod:
-                                        gcids_in_mod += [str(x) for x in c_dict["kofam_hits"][ko]]
-                                        kos_in_mod_list += [ko for x in c_dict["kofam_hits"][ko]]
-                                if "kofam_hits_in_module" in headers_to_include:
-                                    d[self.modules_unique_id]["kofam_hits_in_module"] = ",".join(kos_in_mod_list)
-                                if "gene_caller_ids_in_module" in headers_to_include:
-                                    d[self.modules_unique_id]["gene_caller_ids_in_module"] = ",".join(gcids_in_mod)
-
-                                # everything else at c_dict level
-                                for h in remaining_headers:
-                                    if h not in self.available_headers.keys():
-                                        raise ConfigError("Requested header %s not available." % (h))
-                                    h_cdict_key = self.available_headers[h]['cdict_key']
-                                    if not h_cdict_key:
-                                        raise ConfigError("We don't know the corresponding key in metabolism completeness dict for header %s." % (h))
-
-                                    value = c_dict[h_cdict_key]
-                                    if isinstance(value, list):
-                                        if not value:
-                                            value = "None"
-                                        else:
-                                            value = ",".join(value)
-                                    d[self.modules_unique_id][h] = value
-
-                                self.modules_unique_id += 1
+                # handle path-level information (ie, for module_paths mode)
+                if headers_to_include.intersection(path_level_headers):
+                    for p_index, p in enumerate(self.module_paths_dict[mnum]):
+                        d[self.modules_unique_id] = {}
+                        self.add_common_elements_to_output_dict_for_module_in_bin(bin, mnum, c_dict, headers_to_include, remaining_headers, d)
+
+                        # path-specific info
+                        if "path_id" in headers_to_include:
+                            d[self.modules_unique_id]["path_id"] = p_index
+                        if "path" in headers_to_include:
+                            d[self.modules_unique_id]["path"] = ",".join(p)
+                        if "path_completeness" in headers_to_include:
+                            d[self.modules_unique_id]["path_completeness"] = c_dict["pathway_completeness"][p_index]
+
+                        # add path-level redundancy if requested
+                        if self.add_copy_number:
+                            d[self.modules_unique_id]["num_complete_copies_of_path"] = c_dict["num_complete_copies_of_all_paths"][p_index]
+
+                        self.modules_unique_id += 1
+
+                # handle step-level information (ie, for module_steps mode)
+                elif headers_to_include.intersection(step_level_headers):
+                    for s_index, step_dict in c_dict["top_level_step_info"].items():
+                        d[self.modules_unique_id] = {}
+                        self.add_common_elements_to_output_dict_for_module_in_bin(bin, mnum, c_dict, headers_to_include, remaining_headers, d)
+
+                        # step-specific info
+                        if "step_id" in headers_to_include:
+                            d[self.modules_unique_id]["step_id"] = s_index
+                        if "step" in headers_to_include:
+                            d[self.modules_unique_id]["step"] = step_dict["step_definition"]
+                        if "step_completeness" in headers_to_include:
+                            d[self.modules_unique_id]["step_completeness"] = 1 if step_dict["complete"] else 0
+
+                        # add step-level redundancy if requested
+                        if self.add_copy_number:
+                            d[self.modules_unique_id]["step_copy_number"] = step_dict["copy_number"]
+
+                        self.modules_unique_id += 1
+
+                # handle module-level information (ie, for modules mode)
                 else:
                     d[self.modules_unique_id] = {}
-
-                    # top-level keys and keys not in superdict
-                    if self.name_header in headers_to_include:
-                        d[self.modules_unique_id][self.name_header] = bin
-                    if "db_name" in headers_to_include:
-                        d[self.modules_unique_id]["db_name"] = self.database_name
-                    if "kegg_module" in headers_to_include:
-                        d[self.modules_unique_id]["kegg_module"] = mnum
-
-                    # module specific info
-                    if "module_name" in headers_to_include:
-                        d[self.modules_unique_id]["module_name"] = metadata_dict["module_name"]
-                    if "module_class" in headers_to_include:
-                        d[self.modules_unique_id]["module_class"] = metadata_dict["module_class"]
-                    if "module_category" in headers_to_include:
-                        d[self.modules_unique_id]["module_category"] = metadata_dict["module_category"]
-                    if "module_subcategory" in headers_to_include:
-                        d[self.modules_unique_id]["module_subcategory"] = metadata_dict["module_subcategory"]
-                    if "module_definition" in headers_to_include:
-                        d[self.modules_unique_id]["module_definition"] = module_def
-                    if "module_substrates" in headers_to_include:
-                        if module_substrate_list:
-                            d[self.modules_unique_id]["module_substrates"] = ",".join(module_substrate_list)
-                        else:
-                            d[self.modules_unique_id]["module_substrates"] = "None"
-                    if "module_products" in headers_to_include:
-                        if module_product_list:
-                            d[self.modules_unique_id]["module_products"] = ",".join(module_product_list)
-                        else:
-                            d[self.modules_unique_id]["module_products"] = "None"
-                    if "module_intermediates" in headers_to_include:
-                        if module_intermediate_list:
-                            d[self.modules_unique_id]["module_intermediates"] = ",".join(module_intermediate_list)
-                        else:
-                            d[self.modules_unique_id]["module_intermediates"] = "None"
-
-                    # comma-separated lists of KOs and gene calls in module
-                    kos_in_mod = sorted(c_dict['kofam_hits'].keys())
-                    # gene call list should be in same order as KO list
-                    gcids_in_mod = []
-                    kos_in_mod_list = []
-                    if kos_in_mod:
-                        for ko in kos_in_mod:
-                            gcids_in_mod += [str(x) for x in c_dict["kofam_hits"][ko]]
-                            kos_in_mod_list += [ko for x in c_dict["kofam_hits"][ko]]
-                    if "kofam_hits_in_module" in headers_to_include:
-                        d[self.modules_unique_id]["kofam_hits_in_module"] = ",".join(kos_in_mod_list)
-                    if "gene_caller_ids_in_module" in headers_to_include:
-                        d[self.modules_unique_id]["gene_caller_ids_in_module"] = ",".join(gcids_in_mod)
-
-                    # add coverage if requested
-                    if self.add_coverage:
-                        for s in self.coverage_sample_list:
-                            sample_cov_header = s + "_gene_coverages"
-                            sample_det_header = s + "_gene_detection"
-                            sample_avg_cov_header = s + "_avg_coverage"
-                            sample_avg_det_header = s + "_avg_detection"
-
-                            gene_coverages_in_mod = []
-                            gene_detection_in_mod = []
-                            for gc in gcids_in_mod:
-                                gene_coverages_in_mod.append(c_dict["genes_to_coverage"][s][int(gc)])
-                                gene_detection_in_mod.append(c_dict["genes_to_detection"][s][int(gc)])
-
-                            d[self.modules_unique_id][sample_cov_header] = ",".join([str(c) for c in gene_coverages_in_mod])
-                            d[self.modules_unique_id][sample_det_header] = ",".join([str(d) for d in gene_detection_in_mod])
-                            d[self.modules_unique_id][sample_avg_cov_header] = c_dict["average_coverage_per_sample"][s]
-                            d[self.modules_unique_id][sample_avg_det_header] = c_dict["average_detection_per_sample"][s]
-
-                    # everything else at c_dict level
-                    for h in remaining_headers:
-                        if h not in self.available_headers.keys():
-                            raise ConfigError("Requested header %s not available." % (h))
-                        h_cdict_key = self.available_headers[h]['cdict_key']
-                        if not h_cdict_key:
-                            raise ConfigError("We don't know the corresponding key in metabolism completeness dict for header %s." % (h))
-
-                        value = c_dict[h_cdict_key]
-                        if isinstance(value, list):
-                            if not value:
-                                value = "None"
-                            else:
-                                value = ",".join(value)
-                        d[self.modules_unique_id][h] = value
+                    self.add_common_elements_to_output_dict_for_module_in_bin(bin, mnum, c_dict, headers_to_include, remaining_headers, d)
 
                     self.modules_unique_id += 1
 
@@ -3696,25 +4992,20 @@ def generate_output_dict_for_kofams(self, ko_superdict, headers_to_include=None)
 
         # use the kofam_hits output mode header set by default
         if not headers_to_include:
-            headers_to_include = set(OUTPUT_MODES["kofam_hits"]["headers"])
+            headers_to_include = set(OUTPUT_MODES["hits"]["headers"])
         else:
             headers_to_include = set(headers_to_include)
 
         d = {}
         if not self.ko_unique_id:
             self.ko_unique_id = 0
-        """
-        ### FIXME ###
-        See note in previous function about the weirdness of the unique_id with multiple output files.
-        ### FIXME ###
-        """
 
         for bin, ko_dict in ko_superdict.items():
             for ko, k_dict in ko_dict.items():
                 if anvio.DEBUG:
                     self.run.info("Generating output for KO", ko)
 
-                metadata_dict = self.get_ko_metadata_dictionary(ko)
+                metadata_dict = self.get_ko_metadata_dictionary(ko, dont_fail_if_not_found=True)
 
                 for gc_id in k_dict["gene_caller_ids"]:
                     d[self.ko_unique_id] = {}
@@ -3723,28 +5014,35 @@ def generate_output_dict_for_kofams(self, ko_superdict, headers_to_include=None)
                         d[self.ko_unique_id][self.name_header] = bin
                     if "db_name" in headers_to_include:
                         d[self.ko_unique_id]["db_name"] = self.database_name
-                    if "ko" in headers_to_include:
-                        d[self.ko_unique_id]["ko"] = ko
+                    if "enzyme" in headers_to_include:
+                        d[self.ko_unique_id]["enzyme"] = ko
                     if "gene_caller_id" in headers_to_include:
                         d[self.ko_unique_id]["gene_caller_id"] = gc_id
                     if "contig" in headers_to_include:
                         d[self.ko_unique_id]["contig"] = k_dict["genes_to_contigs"][gc_id]
-                    if "modules_with_ko" in headers_to_include:
-                        d[self.ko_unique_id]["modules_with_ko"] = metadata_dict["modules_with_ko"]
-                    if "ko_definition" in headers_to_include:
-                        d[self.ko_unique_id]["ko_definition"] = metadata_dict["ko_definition"]
+                    if "modules_with_enzyme" in headers_to_include:
+                        d[self.ko_unique_id]["modules_with_enzyme"] = metadata_dict["modules_with_enzyme"]
+                    if "enzyme_definition" in headers_to_include:
+                        d[self.ko_unique_id]["enzyme_definition"] = metadata_dict["enzyme_definition"]
 
                     if self.add_coverage:
-                        if not self.profile_db:
-                            raise ConfigError("We're sorry that you came all this way, but it seems the profile database has "
-                                              "not been initialized, therefore we cannot add coverage values to your output. "
-                                              "This is likely a bug or developer mistake. It is a sad day :(")
+                        if self.enzymes_txt:
+                            for s in self.coverage_sample_list:
+                                sample_cov_header = s + "_coverage"
+                                d[self.ko_unique_id][sample_cov_header] = self.enzymes_txt_data[self.enzymes_txt_data["gene_id"] == gc_id]["coverage"].values[0]
+                                sample_det_header = s + "_detection"
+                                d[self.ko_unique_id][sample_det_header] = self.enzymes_txt_data[self.enzymes_txt_data["gene_id"] == gc_id]["detection"].values[0]
+                        else:
+                            if not self.profile_db:
+                                raise ConfigError("We're sorry that you came all this way, but it seems the profile database has "
+                                                  "not been initialized, therefore we cannot add coverage values to your output. "
+                                                  "This is likely a bug or developer mistake. It is a sad day :(")
 
-                        for s in self.coverage_sample_list:
-                            sample_cov_header = s + "_coverage"
-                            d[self.ko_unique_id][sample_cov_header] = self.profile_db.gene_level_coverage_stats_dict[gc_id][s]['mean_coverage']
-                            sample_det_header = s + "_detection"
-                            d[self.ko_unique_id][sample_det_header] = self.profile_db.gene_level_coverage_stats_dict[gc_id][s]['detection']
+                            for s in self.coverage_sample_list:
+                                sample_cov_header = s + "_coverage"
+                                d[self.ko_unique_id][sample_cov_header] = self.profile_db.gene_level_coverage_stats_dict[gc_id][s]['mean_coverage']
+                                sample_det_header = s + "_detection"
+                                d[self.ko_unique_id][sample_det_header] = self.profile_db.gene_level_coverage_stats_dict[gc_id][s]['detection']
 
                     self.ko_unique_id += 1
 
@@ -3754,21 +5052,42 @@ def generate_output_dict_for_kofams(self, ko_superdict, headers_to_include=None)
     def generate_subsets_for_matrix_format(self, module_superdict, ko_hits_superdict):
         """Here we extract and return three subsets of data from the superdicts, for matrix formatted output.
 
-        The subsets of data that we need are: module completeness scores, module presence/absence, and KO hit frequency.
-        Each of these is put into a dictionary (one for modules, one for ko hits) and returned.
+        The subsets of data that we need are: module completeness scores, module presence/absence, KO hit frequency,
+                                              module top-level step completeness
+        If --add-copy-number was provided, we also need copy numbers for modules and module steps.
+
+        Each of these is put into a dictionary (one for modules, one for ko hits, one for module steps) and returned.
         """
 
         mod_completeness_presence_subdict = {}
         ko_hits_subdict = {}
+        steps_subdict = {}
 
         for bin, mod_dict in module_superdict.items():
             mod_completeness_presence_subdict[bin] = {}
+            steps_subdict[bin] = {}
             for mnum, c_dict in mod_dict.items():
-                if mnum == "num_complete_modules":
-                    continue
                 mod_completeness_presence_subdict[bin][mnum] = {}
-                mod_completeness_presence_subdict[bin][mnum]['percent_complete'] = c_dict['percent_complete']
-                mod_completeness_presence_subdict[bin][mnum]['complete'] = c_dict['complete']
+                mod_completeness_presence_subdict[bin][mnum]["pathwise_percent_complete"] = c_dict["pathwise_percent_complete"]
+                mod_completeness_presence_subdict[bin][mnum]["pathwise_is_complete"] = c_dict["pathwise_is_complete"]
+                mod_completeness_presence_subdict[bin][mnum]["stepwise_completeness"] = c_dict["stepwise_completeness"]
+                mod_completeness_presence_subdict[bin][mnum]["stepwise_is_complete"] = c_dict["stepwise_is_complete"]
+
+                if self.add_copy_number:
+                    if c_dict["num_complete_copies_of_most_complete_paths"]:
+                        mod_completeness_presence_subdict[bin][mnum]['pathwise_copy_number'] = max(c_dict["num_complete_copies_of_most_complete_paths"])
+                    else:
+                        mod_completeness_presence_subdict[bin][mnum]['pathwise_copy_number'] = 'NA'
+                    mod_completeness_presence_subdict[bin][mnum]['stepwise_copy_number'] = c_dict["stepwise_copy_number"]
+
+                for step_id, step_dict in c_dict["top_level_step_info"].items():
+                    step_key = mnum + "_" + f"{step_id:02d}"
+                    steps_subdict[bin][step_key] = {}
+                    steps_subdict[bin][step_key]["step_is_complete"] = step_dict["complete"]
+                    # we include step metadata in this dictionary directly (rather than trying to access it out later using a function)
+                    steps_subdict[bin][step_key]["step_definition"] = step_dict["step_definition"]
+                    if self.add_copy_number:
+                        steps_subdict[bin][step_key]["step_copy_number"] = step_dict["copy_number"]
 
         for bin, ko_dict in ko_hits_superdict.items():
             ko_hits_subdict[bin] = {}
@@ -3776,7 +5095,7 @@ def generate_subsets_for_matrix_format(self, module_superdict, ko_hits_superdict
                 ko_hits_subdict[bin][knum] = {}
                 ko_hits_subdict[bin][knum]['num_hits'] = len(k_dict['gene_caller_ids']) # number of hits to this KO in the bin
 
-        return mod_completeness_presence_subdict, ko_hits_subdict
+        return mod_completeness_presence_subdict, ko_hits_subdict, steps_subdict
 
 ######### OUTPUT GENERATION FUNCTIONS #########
 
@@ -3806,7 +5125,7 @@ def append_kegg_metabolism_superdicts(self, module_superdict_for_list_of_splits,
                 raise ConfigError(f"Uh oh. You've requested to generate output from the {self.available_modes[mode]['data_dict']} "
                                   "data dictionary, but we don't know about that one.")
 
-            file_obj.append(output_dict, key_header="unique_id", headers=header_list)
+            file_obj.append(output_dict, headers=['key'] + header_list, do_not_write_key_column=True)
 
             if anvio.DEBUG:
                 self.run.warning(f"Appended metabolism dictionary to {file_obj.path}" ,
@@ -3841,7 +5160,7 @@ def store_kegg_metabolism_superdicts(self, module_superdict, ko_superdict):
             else:
                 raise ConfigError(f"Uh oh. You've requested to generate output from the {self.available_modes[mode]['data_dict']} "
                                   "data dictionary, but we don't know about that one.")
-            utils.store_dict_as_TAB_delimited_file(output_dict, output_path, key_header="unique_id", headers=header_list)
+            utils.store_dict_as_TAB_delimited_file(output_dict, output_path, headers=['key'] + header_list, do_not_write_key_column=True)
             self.run.info("%s output file" % mode, output_path, nl_before=1)
 
 
@@ -3852,6 +5171,25 @@ def set_to_list(obj):
             if isinstance(obj, set):
                 return list(obj)
 
+        if self.user_input_dir:
+            if self.only_user_modules:
+                kegg_superdict['data_sources'] = 'USER'
+            else:
+                kegg_superdict['data_sources'] = 'USER,KEGG'
+            user_modules_db = ModulesDatabase(self.user_modules_db_path, args=self.args, quiet=self.quiet)
+            kegg_superdict['user_modules_db_hash'] = user_modules_db.db.get_meta_value('hash')
+            user_modules_db.disconnect()
+        else:
+            kegg_superdict['data_sources'] = 'KEGG'
+            kegg_superdict['user_modules_db_hash'] = ''
+
+        if self.only_user_modules:
+            kegg_superdict['kegg_modules_db_hash'] = ''
+        else:
+            kegg_modules_db = ModulesDatabase(self.kegg_modules_db_path, args=self.args, quiet=self.quiet)
+            kegg_superdict['kegg_modules_db_hash'] = kegg_modules_db.db.get_meta_value('hash')
+            kegg_modules_db.disconnect()
+
         filesnpaths.is_output_file_writable(file_path)
         open(file_path, 'w').write(json.dumps(kegg_superdict, indent=4, default=set_to_list))
         self.run.info("JSON Output", file_path)
@@ -3867,7 +5205,7 @@ def get_metabolism_data_for_visualization(self):
         """
 
         # add keys to this list to include the data in the visualization dictionary
-        module_data_keys_for_visualization = ['percent_complete']
+        module_data_keys_for_visualization = ['pathwise_percent_complete']
 
         metabolism_dict, ko_hit_dict = self.estimate_metabolism(skip_storing_data=True, return_superdicts=True)
         data_for_visualization = {}
@@ -3875,9 +5213,6 @@ def get_metabolism_data_for_visualization(self):
         for bin, mod_dict in metabolism_dict.items():
             data_for_visualization[bin] = {}
             for mnum, c_dict in mod_dict.items():
-                if mnum == "num_complete_modules":
-                    continue
-
                 data_for_visualization[bin][mnum] = {}
                 for key, value in c_dict.items():
                     if key in module_data_keys_for_visualization:
@@ -3905,11 +5240,13 @@ def __init__(self, args, run=run, progress=progress):
             raise ConfigError("You appear to have provided both an input text file and a contigs database, and "
                               "now anvi'o is not quite sure which one to work on. Please choose only one. :) ")
 
-        # init the base class for access to shared paths and such
+        # init the base classes for access to shared paths and such
         KeggContext.__init__(self, args)
-
         KeggEstimatorArgs.__init__(self, self.args)
 
+        # This can be initialized later if necessary by setup_ko_dict()
+        self.ko_dict = {}
+
         if anvio.DEBUG:
             self.run.info("Completeness threshold: multi estimator", self.module_completion_threshold)
             self.run.info("Output Modes", ", ".join(self.output_modes))
@@ -3920,7 +5257,7 @@ def __init__(self, args, run=run, progress=progress):
 
         self.databases = None
 
-        # input sanity checks
+        # INPUT SANITY CHECKS
         if (self.external_genomes_file and (self.internal_genomes_file or self.metagenomes_file)) \
             or (self.internal_genomes_file and (self.external_genomes_file or self.metagenomes_file)) \
             or (self.metagenomes_file and (self.external_genomes_file or self.internal_genomes_file)):
@@ -3931,8 +5268,11 @@ def __init__(self, args, run=run, progress=progress):
             raise ConfigError("You've provided some JSON parameters. We are sorry to say that these parameters don't "
                               "work for input files with multiple contigs DBs. :( ")
 
-        # output sanity checks
-        if self.matrix_format and args.kegg_output_modes:
+        if self.only_user_modules and not self.user_input_dir:
+            raise ConfigError("You can only use the flag --only-user-modules if you provide a --user-modules directory.")
+
+        # OUTPUT SANITY CHECKS
+        if self.matrix_format and self.long_format_mode:
             raise ConfigError("Please request EITHER long-format output modes OR matrix format. When you ask for both "
                               "like this, anvi'o is confused. :) ")
         if self.matrix_include_metadata and not self.matrix_format:
@@ -3957,10 +5297,61 @@ def __init__(self, args, run=run, progress=progress):
         elif self.internal_genomes_file:
             self.name_header = 'bin_name'
 
-        if not self.quiet:
-            self.run.warning("Anvi'o will reconstruct metabolism for modules in the KEGG MODULE database, as described in "
-                             "Kanehisa and Goto et al (doi:10.1093/nar/gkr988). When you publish your findings, "
-                             "please do not forget to properly credit this work.", lc='green', header="CITATION")
+        # LOAD KEGG DATA
+        if not self.only_user_modules:
+            # citation output for KEGG data
+            if not self.quiet:
+                self.run.warning("Anvi'o will reconstruct metabolism for modules in the KEGG MODULE database, as described in "
+                                 "Kanehisa and Goto et al (doi:10.1093/nar/gkr988). When you publish your findings, "
+                                 "please do not forget to properly credit this work.", lc='green', header="CITATION")
+
+            # init the enzyme accession to function definition dictionary
+            # (henceforth referred to as the KO dict, even though it doesn't only contain KOs for user data)
+            self.setup_ko_dict()
+            annotation_source_set = set(['KOfam'])
+
+            # check for kegg modules db
+            if not os.path.exists(self.kegg_modules_db_path):
+                raise ConfigError(f"It appears that a KEGG modules database ({self.kegg_modules_db_path}) does not exist in the provided data directory. "
+                                  f"Perhaps you need to specify a different data directory using --kegg-data-dir. Or perhaps you didn't run "
+                                  f"`anvi-setup-kegg-kofams`, though we are not sure how you got to this point in that case."
+                                  f"But fine. Hopefully you now know what you need to do to make this message go away.")
+
+        else: # USER data only
+            annotation_source_set = set([])
+            self.kegg_modules_db_path = None # we nullify this just in case
+
+
+        # LOAD USER DATA
+        if self.user_input_dir:
+            # check for user modules db
+            if not os.path.exists(self.user_modules_db_path):
+                raise ConfigError(f"It appears that a USER-DEFINED modules database ({self.user_modules_db_path}) does not exist in the provided data directory. "
+                                  f"Perhaps you need to specify a different data directory using --user-modules. Or perhaps you didn't run "
+                                  f"`anvi-setup-user-modules`. Either way, you're still awesome. Have a great day ;)")
+
+            # expand annotation source set to include those in user db
+            user_modules_db = ModulesDatabase(self.user_modules_db_path, args=self.args, quiet=self.quiet)
+            modules_db_sources = set(user_modules_db.db.get_meta_value('annotation_sources').split(','))
+            annotation_source_set.update(modules_db_sources)
+
+            # we now have to add any enzymes from the user's modules db to the ko dict
+            user_kos = user_modules_db.get_ko_function_dict()
+            for k in user_kos:
+                if k not in self.ko_dict:
+                    self.ko_dict[k] = user_kos[k]
+            user_modules_db.disconnect()
+
+        self.annotation_sources_to_use = list(annotation_source_set)
+
+        # tell user what metabolism data we are using
+        if self.user_input_dir:
+            if self.only_user_modules:
+                self.run.info('Metabolism data', "USER only")
+            else:
+                self.run.info('Metabolism data', "KEGG + USER-DEFINED")
+        else:
+            self.run.info('Metabolism data', "KEGG only")
 
 
     def list_output_modes(self):
@@ -3984,19 +5375,19 @@ def update_available_headers_for_multi(self):
             self.available_headers["genome_name"] = {
                                             'cdict_key': None,
                                             'mode_type': 'all',
-                                            'description': "Name of genome in which we find KOfam hits and/or KEGG modules"
+                                            'description': "Name of genome in which we find gene annotations (hits) and/or modules"
                                             }
         elif self.name_header == 'bin_name':
             self.available_headers["bin_name"] = {
                                             'cdict_key': None,
                                             'mode_type': 'all',
-                                            'description': "Name of bin in which we find KOfam hits and/or KEGG modules"
+                                            'description': "Name of bin in which we find gene annotations (hits) and/or modules"
                                             }
         elif self.name_header == 'contig_name':
             self.available_headers["contig_name"] = {
                                             'cdict_key': None,
                                             'mode_type': 'all',
-                                            'description': "Name of contig (in a metagenome) in which we find KOfam hits and/or KEGG modules"
+                                            'description': "Name of contig (in a metagenome) in which we find gene annotations (hits) and/or modules"
                                             }
 
         # here we make sure db_name is always included in the multi-mode output
@@ -4012,7 +5403,13 @@ def list_output_headers(self):
         # we will find in the metagenomes file
         self.update_available_headers_for_multi()
 
-        run.warning(None, header="AVAILABLE OUTPUT HEADERS", lc="green")
+        self.run.warning("Just so you know, if you used the flags --add-copy-number or --add-coverage, you "
+                         "won't see the possible headers for these data in the list below. If you want to "
+                         "include this information in a custom output file and need to know which headers "
+                         "you can choose from, you should re-run this command with --list-available-output-headers "
+                         "on a SINGLE sample from your input file.")
+
+        self.run.warning(None, header="AVAILABLE OUTPUT HEADERS", lc="green")
 
         for header, header_meta in self.available_headers.items():
             desc_str = header_meta['description']
@@ -4026,7 +5423,36 @@ def init_metagenomes(self):
         """This function parses the input metagenomes file and adjusts class attributes as needed"""
 
         g = MetagenomeDescriptions(self.args, run=self.run, progress=self.progress, enforce_single_profiles=False)
-        g.load_metagenome_descriptions()
+        g.load_metagenome_descriptions(skip_functions=(not self.matrix_format))
+
+        # sanity check that all dbs are properly annotated with required sources
+        for src in self.annotation_sources_to_use:
+            bad_metagenomes = [v['name'] for v in g.metagenomes.values() if not v['gene_function_sources'] or src not in v['gene_function_sources']]
+            if len(bad_metagenomes):
+                bad_metagenomes_txt = [f"'{bad}'" for bad in bad_metagenomes]
+                n = len(bad_metagenomes)
+                it_or_them = P('it', n, alt='them')
+                raise ConfigError(f"Bad news :/ It seems {n} of your {P('metagenome', len(g.metagenomes))} "
+                                  f"{P('is', n, alt='are')} lacking any function annotations for "
+                                  f"`{src}`. This means you either need to annotate {it_or_them} by running the appropriate "
+                                  f"annotation program on {it_or_them}, import functional annotations into {it_or_them} from this source using "
+                                  f"`anvi-import-functions`, or remove {it_or_them} from your internal and/or external genomes files "
+                                  f"before re-running `anvi-estimate-metabolism. Here is the list of offenders: "
+                                  f"{', '.join(bad_metagenomes_txt)}.")
+
+        if self.matrix_format:
+            for name in g.metagenomes:
+                gene_functions_in_genome_dict, _, _= g.get_functions_and_sequences_dicts_from_contigs_db(name, requested_source_list=self.annotation_sources_to_use, return_only_functions=True)
+                # reminder, an entry in gene_functions_in_genome_dict looks like this:
+                # 4264: {'KOfam': None, 'COG20_FUNCTION': None, 'UpxZ': ('PF06603.14', 'UpxZ', 3.5e-53)}
+                #print(gene_functions_in_genome_dict)
+                for gcid, func_dict in gene_functions_in_genome_dict.items():
+                    for source, func_tuple in func_dict.items():
+                        if func_tuple:
+                            acc_string, func_def, eval = func_tuple
+                            for acc in acc_string.split('!!!'):
+                                if acc not in self.ko_dict:
+                                    self.ko_dict[acc] = {'definition': func_def}
 
         # enforce metagenome mode
         if not self.metagenome_mode:
@@ -4040,17 +5466,34 @@ def init_external_internal_genomes(self):
         """This function parses the input internal/external genomes file and adjusts class attributes as needed"""
 
         g = GenomeDescriptions(self.args, run=self.run, progress=progress_quiet)
-        g.load_genomes_descriptions(skip_functions=True, init=False)
-
-        bad_genomes = [v['name'] for v in g.genomes.values() if not v['gene_function_sources'] or 'KOfam' not in v['gene_function_sources']]
-        if len(bad_genomes):
-            bad_genomes_txt = [f"'{bad_genome}'" for bad_genome in bad_genomes]
-            raise ConfigError(f"Bad news :/ It seems {len(bad_genomes)} of your {P('genome', len(g.genomes))} "
-                              f"{P('are', len(bad_genomes), alt='is')} lacking any function annotations for "
-                              f"`KOfam`. This means you either need to run the program `anvi-run-kegg-kofams` "
-                              f"on them, or remove them from your internal and/or external genomes files "
-                              f"before re-running `anvi-estimate-metabolism. Here is the list of offenders: "
-                              f"{', '.join(bad_genomes_txt)}.")
+        g.load_genomes_descriptions(skip_functions=(not self.matrix_format), init=False)
+
+        # sanity check that all dbs are properly annotated with required sources
+        for src in self.annotation_sources_to_use:
+            bad_genomes = [v['name'] for v in g.genomes.values() if not v['gene_function_sources'] or src not in v['gene_function_sources']]
+            if len(bad_genomes):
+                bad_genomes_txt = [f"'{bad_genome}'" for bad_genome in bad_genomes]
+                it_or_them = P('it', len(bad_genomes), alt='them')
+                raise ConfigError(f"Bad news :/ It seems {len(bad_genomes)} of your {P('genome', len(g.genomes))} "
+                                  f"{P('is', len(bad_genomes), alt='are')} lacking any function annotations for "
+                                  f"`{src}`. This means you either need to annotate {it_or_them} by running the appropriate "
+                                  f"annotation program on {it_or_them}, import functional annotations into {it_or_them} from this source using "
+                                  f"`anvi-import-functions`, or remove {it_or_them} from your internal and/or external genomes files "
+                                  f"before re-running `anvi-estimate-metabolism. Here is the list of offenders: "
+                                  f"{', '.join(bad_genomes_txt)}.")
+
+        if self.matrix_format:
+            for genome_name in g.genomes:
+                gene_functions_in_genome_dict, _, _= g.get_functions_and_sequences_dicts_from_contigs_db(genome_name, requested_source_list=self.annotation_sources_to_use, return_only_functions=True)
+                # reminder, an entry in gene_functions_in_genome_dict looks like this:
+                # 4264: {'KOfam': None, 'COG20_FUNCTION': None, 'UpxZ': ('PF06603.14', 'UpxZ', 3.5e-53)}
+                for gcid, func_dict in gene_functions_in_genome_dict.items():
+                    for source, func_tuple in func_dict.items():
+                        if func_tuple:
+                            acc_string, func_def, eval = func_tuple
+                            for acc in acc_string.split('!!!'):
+                                if acc not in self.ko_dict:
+                                    self.ko_dict[acc] = {'definition': func_def}
 
         # metagenome mode must be off
         if self.metagenome_mode:
@@ -4096,6 +5539,8 @@ def get_args_for_single_estimator(self, db_name):
         args.database_name = db_name
         args.multi_mode = True
         args.include_metadata = self.matrix_include_metadata
+        args.user_modules = self.user_input_dir or None
+        args.only_user_modules = self.only_user_modules
 
         self.update_available_headers_for_multi()
 
@@ -4103,6 +5548,7 @@ def get_args_for_single_estimator(self, db_name):
             self.run.info("Completeness threshold: single estimator", args.module_completion_threshold)
             self.run.info("Database name: single estimator", args.database_name)
             self.run.info("Matrix metadata: single estimator", args.matrix_include_metadata)
+            self.run.info("User data directory: single estimator", args.input_dir)
 
         return args
 
@@ -4110,12 +5556,15 @@ def get_args_for_single_estimator(self, db_name):
     def get_metabolism_superdict_multi(self):
         """The function that calls metabolism on each individual contigs db.
 
-         If we need matrix format output, it aggregates the results into one dictionary for modules
-         and one for KOs, and returns these. (Otherwise, empty dictionaries are returned.)
+         If we need matrix format output, it aggregates the results into one dictionary for modules, one for KOs,
+         and one for steps. These dictionaries are returned.
+
+         (Otherwise, empty dictionaries are returned.)
          """
 
         metabolism_super_dict = {}
         ko_hits_super_dict = {}
+        module_steps_super_dict = {}
 
         total_num_metagenomes = len(self.database_names)
         self.progress.new("Estimating metabolism for contigs DBs", progress_total_items=total_num_metagenomes)
@@ -4129,7 +5578,13 @@ def get_metabolism_superdict_multi(self):
             if not self.matrix_format:
                 KeggMetabolismEstimator(args, progress=progress_quiet, run=run_quiet).estimate_metabolism(output_files_dictionary=files_dict)
             else:
-                metabolism_super_dict[metagenome_name], ko_hits_super_dict[metagenome_name] = KeggMetabolismEstimator(args, progress=progress_quiet, run=run_quiet).estimate_metabolism(skip_storing_data=True, return_subset_for_matrix_format=True)
+                metabolism_super_dict[metagenome_name], ko_hits_super_dict[metagenome_name], module_steps_super_dict[metagenome_name] = KeggMetabolismEstimator(args, \
+                                                                                                    progress=progress_quiet, \
+                                                                                                    run=run_quiet).estimate_metabolism(skip_storing_data=True, \
+                                                                                                    return_subset_for_matrix_format=True, \
+                                                                                                    all_modules_in_db=self.all_modules_in_db, \
+                                                                                                    all_kos_in_db=self.all_kos_in_db, \
+                                                                                                    module_paths_dict=self.module_paths_dict)
 
             self.progress.increment()
             self.progress.reset()
@@ -4140,7 +5595,7 @@ def get_metabolism_superdict_multi(self):
             for mode, file in files_dict.items():
                 file.close()
 
-        return metabolism_super_dict, ko_hits_super_dict
+        return metabolism_super_dict, ko_hits_super_dict, module_steps_super_dict
 
 
     def estimate_metabolism(self):
@@ -4170,11 +5625,14 @@ def estimate_metabolism(self):
             self.run.info("Num Contigs DBs in file", len(self.database_names))
             self.run.info('Metagenome Mode', self.metagenome_mode)
 
+        self.init_data_from_modules_db()
+
         # these will be empty dictionaries unless matrix format
-        kegg_metabolism_superdict_multi, ko_hits_superdict_multi = self.get_metabolism_superdict_multi()
+        kegg_metabolism_superdict_multi, ko_hits_superdict_multi, module_steps_superdict_multi = self.get_metabolism_superdict_multi()
 
         if self.matrix_format:
-            self.store_metabolism_superdict_multi_matrix_format(kegg_metabolism_superdict_multi, ko_hits_superdict_multi)
+            self.store_metabolism_superdict_multi_matrix_format(kegg_metabolism_superdict_multi, ko_hits_superdict_multi, module_steps_superdict_multi)
+
 
 ######### OUTPUT GENERATION FUNCTIONS -- MULTI #########
 
@@ -4247,7 +5705,12 @@ def write_stat_to_matrix(self, stat_name, stat_header, stat_key, stat_dict, item
                     if stat_header == 'module':
                         metadata_dict = self.get_module_metadata_dictionary(m)
                     elif stat_header == 'enzyme':
-                        metadata_dict = self.get_ko_metadata_dictionary(m)
+                        metadata_dict = self.get_ko_metadata_dictionary(m, dont_fail_if_not_found=True)
+                    elif stat_header == 'module_step':
+                        # get the step metadata from the first sample and first bin (b/c it will be the same in all of them)
+                        first_samp = sample_list[0]
+                        first_bin = list(stat_dict[first_samp].keys())[0]
+                        metadata_dict = {"step_definition": stat_dict[first_samp][first_bin][m]["step_definition"]}
                     else:
                         raise ConfigError(f"write_stat_to_matrix() speaking. I need to access metadata for {stat_header} "
                                           "statistics but there is no function defined for this.")
@@ -4285,7 +5748,7 @@ def write_stat_to_matrix(self, stat_name, stat_header, stat_key, stat_dict, item
         self.run.info('Output matrix for "%s"' % stat_name, output_file_path)
 
 
-    def store_metabolism_superdict_multi_matrix_format(self, module_superdict_multi, ko_superdict_multi):
+    def store_metabolism_superdict_multi_matrix_format(self, module_superdict_multi, ko_superdict_multi, steps_superdict_multi):
         """Stores the multi-contigs DB metabolism data in several matrices.
 
         Contigs DBs are arranged in columns and KEGG modules/KOs are arranged in rows.
@@ -4296,20 +5759,29 @@ def store_metabolism_superdict_multi_matrix_format(self, module_superdict_multi,
         corresponding value comes from running estimate_metabolism() with return_subset_for_matrix_format=True.
 
         That is:
-         module % completeness = module_superdict_multi[sample][bin][mnum]['percent_complete']
-         module is complete = module_superdict_multi[sample][bin][mnum]['complete']
+         module % completeness = module_superdict_multi[sample][bin][mnum]['pathwise_percent_complete']
+         module is complete = module_superdict_multi[sample][bin][mnum]["pathwise_is_complete"]
          # hits for KO = ko_superdict_multi[sample][bin][knum]['num_hits']
+         module step is complete = module_steps_superdict_multi[sample][bin][mnum_stepnum]['step_is_complete']
 
         If self.matrix_include_metadata was True, these superdicts will also include relevant metadata.
         """
 
-        # we need this for metadata
-        self.kegg_modules_db = KeggModulesDatabase(self.kegg_modules_db_path, args=self.args)
         include_zeros = not self.exclude_zero_modules
 
         # module stats that each will be put in separate matrix file
         # key is the stat, value is the corresponding header in superdict
-        module_matrix_stats = {"completeness" : "percent_complete", "presence" : "complete"}
+        module_matrix_stats = {"module_pathwise_completeness" : "pathwise_percent_complete",
+                               "module_pathwise_presence" : "pathwise_is_complete",
+                               "module_stepwise_completeness" : "stepwise_completeness",
+                               "module_stepwise_presence" : "stepwise_is_complete",
+                               }
+        module_step_matrix_stats = {"step_completeness" : "step_is_complete"}
+        if self.add_copy_number:
+            module_matrix_stats["module_pathwise_copy_number"] = "pathwise_copy_number"
+            module_matrix_stats["module_stepwise_copy_number"] = "stepwise_copy_number"
+            module_step_matrix_stats["step_copy_number"] = "step_copy_number"
+
         # all samples/bins have the same modules in the dict so we can pull the item list from the first pair
         first_sample = list(module_superdict_multi.keys())[0]
         first_bin = list(module_superdict_multi[first_sample].keys())[0]
@@ -4321,46 +5793,57 @@ def store_metabolism_superdict_multi_matrix_format(self, module_superdict_multi,
                                       item_list=module_list, stat_metadata_headers=MODULE_METADATA_HEADERS, \
                                       write_rows_with_all_zeros=include_zeros)
 
+        module_step_list = list(steps_superdict_multi[first_sample][first_bin].keys())
+        module_step_list.sort()
+        for stat, key in module_step_matrix_stats.items():
+            self.write_stat_to_matrix(stat_name=stat, stat_header='module_step', stat_key=key, stat_dict=steps_superdict_multi, \
+                                      item_list=module_step_list, stat_metadata_headers=STEP_METADATA_HEADERS, \
+                                      write_rows_with_all_zeros=include_zeros)
+
         # now we make a KO hit count matrix
-        self.setup_ko_dict()
         ko_list = list(self.ko_dict.keys())
         ko_list.sort()
-        self.write_stat_to_matrix(stat_name='ko_hits', stat_header='KO', stat_key='num_hits', stat_dict=ko_superdict_multi, \
+        self.write_stat_to_matrix(stat_name='enzyme_hits', stat_header='enzyme', stat_key='num_hits', stat_dict=ko_superdict_multi, \
                                   item_list=ko_list, stat_metadata_headers=KO_METADATA_HEADERS, \
                                   write_rows_with_all_zeros=include_zeros)
 
         # if necessary, make module specific KO matrices
         if self.module_specific_matrices:
             skipped_mods = []
+            mods_defined_by_mods = []
             for mod in self.module_specific_matrices:
                 if mod not in module_list:
                     skipped_mods.append(mod)
                     continue
 
-                kos_in_mod = self.kegg_modules_db.get_kos_from_module_definition(mod)
-                mod_big_steps = self.kegg_modules_db.get_top_level_steps_in_module_definition(mod)
+                mod_def = self.all_modules_in_db[mod]['DEFINITION']
+                if isinstance(mod_def, list):
+                    mod_def = " ".join(mod_def)
+                kos_in_mod = self.get_enzymes_from_module_definition_in_order(mod_def)
+                mod_big_steps = utils.split_by_delim_not_within_parens(mod_def, " ")
+
+                if not kos_in_mod:
+                    mods_defined_by_mods.append(mod)
+                    continue
 
                 if not self.no_comments:
                     # determine where to place comments containing module steps
                     step_comments = {}
                     lines_with_comment = []
                     for s in mod_big_steps:
-                        # what is the first KO in this step?
-                        first_k = s.find("K")
+                        split_s = re.sub("[\(\)\+\-,]", " ", s).strip()
+                        split_s = split_s.split(" ")
 
                         # we skip making comments on steps without KOs like '--'
-                        if first_k < 0:
+                        if not split_s:
                             continue
+                        # what is the first KO in this step?
+                        first_ko = split_s[0]
 
-                        # figure out where this KO is in the list
-                        first_ko = s[first_k:first_k+6]
+                        # figure out where this KO is in the list (it could be there multiple times)
                         first_ko_indices = [i for i, x in enumerate(kos_in_mod) if x == first_ko]
-                        if not first_ko_indices:
-                            raise ConfigError(f"Something went wrong while writing a comment for step '{s}' in the "
-                                              f"matrix for {mod}. We couldn't find the first KO, {first_ko}, in the "
-                                              "KO list for this module.")
 
-                        # where should we put the step comment?
+                        # if there are multiple instances of this KO, where should we put the step comment?
                         idx = first_ko_indices[0]
                         if len(first_ko_indices) > 1:
                             next_index = 0
@@ -4370,11 +5853,12 @@ def store_metabolism_superdict_multi_matrix_format(self, module_superdict_multi,
 
                         step_comments[idx] = s
                         lines_with_comment.append(idx)
+
                 else:
                     step_comments = None
 
-                stat = f"{mod}_ko_hits"
-                self.write_stat_to_matrix(stat_name=stat, stat_header="KO", stat_key='num_hits', stat_dict=ko_superdict_multi, \
+                stat = f"{mod}_enzyme_hits"
+                self.write_stat_to_matrix(stat_name=stat, stat_header="enzyme", stat_key='num_hits', stat_dict=ko_superdict_multi, \
                                           item_list=kos_in_mod, stat_metadata_headers=KO_METADATA_HEADERS, \
                                           write_rows_with_all_zeros=True, comment_dictionary=step_comments)
 
@@ -4383,10 +5867,13 @@ def store_metabolism_superdict_multi_matrix_format(self, module_superdict_multi,
                 self.run.warning(f"We couldn't recognize the following module(s): {skipped_list}. So we didn't generate "
                                  "output matrices for them. Maybe you made a typo? Or put an extra comma in somewhere?")
 
-        self.kegg_modules_db.disconnect()
+            if mods_defined_by_mods:
+                skipped_list = ", ".join(mods_defined_by_mods)
+                self.run.warning(f"The following modules were completely defined by other modules and therefore we didn't "
+                                 f"generate enzyme hit matrices for them: {skipped_list}.")
 
 
-class KeggModulesDatabase(KeggContext):
+class ModulesDatabase(KeggContext):
     """To create or access a Modules DB.
 
     This DB should be created in the Kegg Data folder during KEGG setup, and will be populated with information from the
@@ -4399,19 +5886,30 @@ class KeggModulesDatabase(KeggContext):
     >>> from anvio import kegg
     >>> path_to_db = "YOUR/PATH/HERE/MODULES.db"
     >>> args = argparse.Namespace()
-    >>> kegg.KeggModulesDatabase(path_to_db, args)
+    >>> kegg.ModulesDatabase(path_to_db, args)
     ```
     """
 
-    def __init__(self, db_path, args, module_dictionary=None, pathway_dictionary=None, run=run, progress=progress, quiet=False):
+    def __init__(self, db_path, args, module_data_directory=None, brite_data_directory=None, module_dictionary=None, pathway_dictionary=None, brite_dictionary=None, data_source='KEGG', skip_brite_hierarchies=False, run=run, progress=progress, quiet=False):
         self.db = None
         self.db_path = db_path
+        self.module_data_directory = module_data_directory # only required for create()
+        self.brite_data_directory = brite_data_directory # only required for create()
         self.module_dict = module_dictionary
         self.pathway_dict = pathway_dictionary
+        self.brite_dict = brite_dictionary
+        self.data_source = data_source
+        # BRITE setup can be skipped to allow newer versions of the database to be consistent with older versions that lacked BRITE
+        self.skip_brite_hierarchies = skip_brite_hierarchies
         self.run = run
         self.progress = progress
         self.quiet = quiet
 
+        # keep track of functional annotation sources needed for the modules in this db
+        self.annotation_sources = set()
+        if self.data_source == 'KEGG':
+            self.annotation_sources.add('KOfam')
+
         if anvio.DEBUG:
             self.run.info("Modules DB quiet param", self.quiet)
 
@@ -4428,23 +5926,29 @@ def __init__(self, db_path, args, module_dictionary=None, pathway_dictionary=Non
         self.pathway_table_structure = t.pathway_table_structure
         self.pathway_table_types = t.pathway_table_types
 
+        # BRITE hierarchies table info
+        self.brite_table_name = t.brite_table_name
+        self.brite_table_structure = t.brite_table_structure
+        self.brite_table_types = t.brite_table_types
+
         if os.path.exists(self.db_path):
             utils.is_kegg_modules_db(self.db_path)
             self.db = db.DB(self.db_path, anvio.__kegg_modules_version__, new_database=False)
 
             if not self.quiet:
-                self.run.info('Modules database', 'An existing database, %s, has been loaded.' % self.db_path, quiet=self.quiet)
-                self.run.info('Kegg Modules', '%d found' % self.db.get_meta_value('num_modules'), quiet=self.quiet)
+                self.run.info("Modules database", f"An existing database, {self.db_path}, has been loaded.", quiet=self.quiet)
+                self.run.info("Modules", f"{self.db.get_meta_value('num_modules')} found", quiet=self.quiet)
+                self.run.info("BRITE KO hierarchies", f"{self.db.get_meta_value('num_brite_hierarchies')} found", quiet=self.quiet)
 
         else:
             # if self.module_dict is None, then we tried to initialize the DB outside of setup
             if not self.module_dict:
-                raise ConfigError("ERROR - a new KeggModulesDatabase() cannot be initialized without providing a modules dictionary. This "
+                raise ConfigError("ERROR - a new ModulesDatabase() cannot be initialized without providing a modules dictionary. This "
+                                  "usually happens when you try to access a Modules DB before one has been setup. Running `anvi-setup-kegg-kofams` may fix this.")
+
+            if not self.skip_brite_hierarchies and not self.brite_dict:
+                raise ConfigError("ERROR - a new ModulesDatabase() cannot be initialized without providing a BRITE dictionary. This "
                                   "usually happens when you try to access a Modules DB before one has been setup. Running `anvi-setup-kegg-kofams` may fix this.")
-            # This is commented out because we are not yet using pathways. But it should be uncommented when we get to the point of using them :)
-            # if not self.pathway_dict:
-            #     raise ConfigError("ERROR - a new KeggModulesDatabase() cannot be initialized without providing a pathway dictionary. This "
-            #                       "usually happens when you try to access a Modules DB before one has been setup. Running `anvi-setup-kegg-kofams` may fix this.")
 
 ######### DB GENERATION FUNCTIONS #########
 
@@ -4464,6 +5968,7 @@ def touch(self):
         self.db = db.DB(self.db_path, anvio.__kegg_modules_version__, new_database=True)
 
         self.db.create_table(self.module_table_name, self.module_table_structure, self.module_table_types)
+        self.db.create_table(self.brite_table_name, self.brite_table_structure, self.brite_table_types)
 
 
     def data_vals_sanity_check(self, data_vals, current_data_name, current_module_num):
@@ -4647,8 +6152,13 @@ def parse_kegg_modules_line(self, line, current_module, line_num=None, current_d
         # the only exception is that sometimes there is nothing in the data definition field (REFERENCE lines sometimes do this)
         if len(fields) > 1:
             data_vals = fields[1]
-            # need to sanity check data value field because SOME modules don't follow the 2-space separation formatting
-            vals_are_okay, corrected_vals, corrected_def = self.data_vals_sanity_check(data_vals, current_data_name, current_module)
+
+            if self.data_source == 'KEGG':
+                # need to sanity check data value field because SOME modules don't follow the 2-space separation formatting
+                vals_are_okay, corrected_vals, corrected_def = self.data_vals_sanity_check(data_vals, current_data_name, current_module)
+            else:
+                # TODO: USER data sanity check
+                vals_are_okay = True # for now we always assume USER data is formatted properly
 
             if vals_are_okay and len(fields) > 2: # not all lines have a definition field
                 data_def = fields[2]
@@ -4685,14 +6195,21 @@ def parse_kegg_modules_line(self, line, current_module, line_num=None, current_d
     def create(self):
         """Creates the Modules DB"""
 
+        if not self.module_data_directory:
+            raise ConfigError("Some dumb programmer forgot to provide a module_data_directory parameter value to the ModulesDatabase "
+                              "class. The DB can't be created unless it knows where the modules are... Get yourself together.")
+        if not self.skip_brite_hierarchies and not self.brite_data_directory:
+            raise ConfigError("Some dumb programmer forgot to provide a brite_data_directory parameter value to the ModulesDatabase "
+                              "class. The DB can't be created unless it knows where the BRITE hierarchies are... Get yourself together.")
+
         self.touch()
 
-        self.progress.new("Loading %s KEGG modules into Modules DB..." % len(self.module_dict.keys()))
+        self.progress.new("Loading %s modules into Modules DB..." % len(self.module_dict.keys()))
 
         # sanity check that we setup the modules previously.
         # It shouldn't be a problem since this function should only be called during the setup process after modules download, but just in case.
-        if not os.path.exists(self.module_data_dir) or len(self.module_dict.keys()) == 0:
-            raise ConfigError("Appparently, the Kegg Modules were not correctly setup and now all sorts of things are broken. The "
+        if not os.path.exists(self.module_data_directory) or len(self.module_dict.keys()) == 0:
+            raise ConfigError("Appparently, the module data files were not correctly setup and now all sorts of things are broken. The "
                               "Modules DB cannot be created from broken things. BTW, this error is not supposed to happen to anyone "
                               "except maybe developers, so if you do not fall into that category you are likely in deep doo-doo. "
                               "Maybe re-running setup with --reset will work? (if not, you probably should email/Slack/telepathically "
@@ -4700,21 +6217,29 @@ def create(self):
                               "in the module dictionary is currently %s" % len(self.module_dict.keys()))
 
         # init the Modules table
-        mod_table = KeggModulesTable(self.module_table_name)
+        mod_table = ModulesTable(self.module_table_name)
 
         # keep track of errors encountered while parsing
         self.parsing_error_dict = {"bad_line_splitting" : [], "bad_kegg_code_format" : []}
         self.num_corrected_errors = 0
         self.num_uncorrected_errors = 0
+        # keep track of BRITE parsing information
+        self.num_hierarchies_parsed = 0
+        self.num_brite_categorizations = 0
 
         num_modules_parsed = 0
         line_number = 0
         for mnum in self.module_dict.keys():
-            self.progress.update("Parsing KEGG Module %s" % mnum)
-            mod_file_path = os.path.join(self.module_data_dir, mnum)
+            self.progress.update("Parsing Module %s" % mnum)
+            mod_file_path = os.path.join(self.module_data_directory, mnum)
             f = open(mod_file_path, 'rU')
 
             prev_data_name_field = None
+            module_has_annotation_source = False
+            orthology_to_annotation_source = {}  # for sanity check that each enzyme has an annotation source
+            # for sanity check that each enzyme in definition has an orthology line
+            mod_definition = []
+            orth_list = set()
             for line in f.readlines():
                 line = line.strip('\n')
                 line_number += 1
@@ -4742,8 +6267,68 @@ def create(self):
                         else:
                             line -= 1
 
+                        # save definition for later sanity check
+                        if name == 'DEFINITION':
+                            mod_definition.append(val)
+                        if name == 'ORTHOLOGY':
+                            orth_list.add(val)
+                        # keep track of distinct annotation sources for user modules
+                        if self.data_source != 'KEGG' and name == "ORTHOLOGY":
+                            orthology_to_annotation_source[val] = None
+                        if self.data_source != 'KEGG' and name == "ANNOTATION_SOURCE":
+                            self.annotation_sources.add(definition)
+                            module_has_annotation_source = True
+                            if val not in orthology_to_annotation_source:
+                                raise ConfigError(f"Woah. While parsing module {mnum} we found an ANNOTATION_SOURCE for "
+                                                  f"an enzyme, {val}, that does not have an ORTHOLOGY line. Please check the "
+                                                  f"module file and make sure that 1) ORTHOLOGY comes before ANNOTATION_SOURCE, "
+                                                  f"and 2) each enzyme with an ORTHOLOGY also has a corresponding ANNOTATION_SOURCE.")
+                            orthology_to_annotation_source[val] = definition
+
+                        # sanity check for user-defined CLASS value
+                        if self.data_source != 'KEGG' and name == "CLASS":
+                            if len(val.split(";")) != 3:
+                                raise ConfigError(f"The module {mnum} appears to have an invalid CLASS value. That value should be "
+                                                  f"a string with a class, category, and sub-category separated by semi-colons (for a "
+                                                  f"total of two semi-colons in the string). Instead, it is this: {val}")
+
                 f.close()
 
+            # every enzyme in the module definition needs an orthology line
+            mod_definition = " ".join(mod_definition)
+            # anything that is not (),-+ should be converted to spaces, then we can split on the spaces to get the accessions
+            mod_definition = re.sub('[\(\)\+\-,]', ' ', mod_definition).strip()
+            acc_list = re.split(r'\s+', mod_definition)
+            accessions_in_def = set(acc_list)
+            # remove any accession that is for a module (ie, not an enzyme)
+            enzymes_in_def = set([acc for acc in accessions_in_def if acc not in self.module_dict.keys()])
+            enzymes_without_orth = enzymes_in_def.difference(orth_list)
+            if self.data_source != 'KEGG' and enzymes_without_orth:
+                bad_list = ", ".join(enzymes_without_orth)
+                n = len(enzymes_without_orth)
+                raise ConfigError(f"So, there is a thing. And that thing is that there {P('is an enzyme', n, alt='are some enzymes')} "
+                                  f"in the DEFINITION string for module {mnum} that {P('does', n, alt='do')} not have an ORTHOLOGY line, "
+                                  f"and {P('it', n, alt='they')} really should have one. Here {P('it is', n, alt='they are')}: {bad_list}")
+
+            # every user module needs at least one annotation source
+            if self.data_source != 'KEGG' and not module_has_annotation_source:
+                os.remove(self.db_path)
+                raise ConfigError(f"While parsing user module {mnum}, we noticed that it does not have a single "
+                                  f"'ANNOTATION_SOURCE' field. We are sorry to tell you that this is not okay, "
+                                  f"because every user-defined module requires at least one of those fields to tell "
+                                  f"anvi'o where to find its gene annotations. So you should go and take a look at "
+                                  f"the module file at {mod_file_path} and add one 'ANNOTATION_SOURCE' line for each "
+                                  f"gene in the module definition, before re-trying this setup program. Thank you!")
+            # every enzyme needs an annotation source
+            if self.data_source != 'KEGG' and not all(orthology_to_annotation_source.values()):
+                nones = [k for k,v in orthology_to_annotation_source.items() if not v]
+                nones_str = ", ".join(nones)
+                n = len(nones)
+                raise ConfigError(f"*Dalek noises* EXTERMINATE! EXTERMINATE! It seems that your module {mnum} contains "
+                                  f"{P('an enzyme that is', n, alt='some enzymes that are')} missing an ANNOTATION_SOURCE line. "
+                                  f"Please go back in time and fix this. Here {P('is the enzyme', n, alt='are the enzymes')} in "
+                                  f"question here: {nones_str}")
+
             num_modules_parsed += 1
         # once we are done parsing all modules, we store whatever db entries remain in the db_entries list
         # this is necessary because append_and_store() above only stores every 10000 entries
@@ -4753,36 +6338,61 @@ def create(self):
         self.progress.end()
 
         # warn user about parsing errors
-        if anvio.DEBUG:
-            self.run.warning("Several parsing errors were encountered while building the KEGG Modules DB. "
-                             "Below you will see which modules threw each type of parsing error. Note that modules which "
-                             "threw multiple errors will occur in the list as many times as it threw each error.")
-            self.run.info("Bad line splitting (usually due to rogue or missing spaces)", self.parsing_error_dict["bad_line_splitting"])
-            self.run.info("Bad KEGG code format (not corrected; possibly problematic)", self.parsing_error_dict["bad_kegg_code_format"])
-        else: # less verbose
-            self.run.warning("First things first - don't panic. Several parsing errors were encountered while building the KEGG Modules DB. "
-                             "But that is probably okay, because if you got to this point it is likely that we already fixed all of them "
-                             "ourselves. So don't worry too much. Below you will see how many of each type of error was encountered. If "
-                             "you would like to see which modules threw these errors, please re-run the setup using the `--debug` flag (you "
-                             "will also probably need the `--reset` flag). When doing so, you will also see which lines caused issues; this "
-                             "can be a lot of output, so you can suppress the line-specific output with the `--quiet` flag if that makes things "
-                             "easier to read. So, in summary: You can probably ignore this warning. But if you want more info: run setup again "
-                             "with `--reset --debug --quiet` to see exactly which modules had issues, or run with `--reset --debug` to see exactly "
-                             "which lines in which modules had issues. Anvi'o developers thank you for your attention and patience 😇")
-            self.run.info("Bad line splitting (usually due to rogue or missing spaces)", len(self.parsing_error_dict["bad_line_splitting"]))
-            self.run.info("Bad KEGG code format (usually not correctable)", len(self.parsing_error_dict["bad_kegg_code_format"]))
+        if self.num_corrected_errors > 0 or self.num_uncorrected_errors > 0:
+            if anvio.DEBUG:
+                self.run.warning("Several parsing errors were encountered while building the Modules DB. "
+                                 "Below you will see which modules threw each type of parsing error. Note that modules which "
+                                 "threw multiple errors will occur in the list as many times as it threw each error.")
+                self.run.info("Bad line splitting (usually due to rogue or missing spaces)", self.parsing_error_dict["bad_line_splitting"])
+                self.run.info("Bad KEGG code format (not corrected; possibly problematic)", self.parsing_error_dict["bad_kegg_code_format"])
+            else: # less verbose
+                self.run.warning("First things first - don't panic. Several parsing errors were encountered while building the Modules DB. "
+                                 "But that is probably okay, because if you got to this point it is likely that we already fixed all of them "
+                                 "ourselves. So don't worry too much. Below you will see how many of each type of error was encountered. If "
+                                 "you would like to see which modules threw these errors, please re-run the setup using the --debug flag (you "
+                                 "will also probably need the --reset or --overwrite-output-destinations flag). When doing so, you will also "
+                                 "see which lines caused issues; this can be a lot of output, so you can suppress the line-specific output with "
+                                 "the `--quiet` flag if that makes things easier to read. So, in summary: You can probably ignore this warning. "
+                                 "But if you want more info: run setup again with `--reset --debug --quiet` to see exactly which modules had "
+                                 "issues, or run with `--reset --debug` to see exactly which lines in which modules had issues. Anvi'o developers "
+                                 "thank you for your attention and patience 😇")
+                self.run.info("Bad line splitting (usually due to rogue or missing spaces)", len(self.parsing_error_dict["bad_line_splitting"]))
+                self.run.info("Bad KEGG code format (usually not correctable)", len(self.parsing_error_dict["bad_kegg_code_format"]))
+
+        if not self.annotation_sources:
+            os.remove(self.db_path)
+            raise ConfigError("We're not sure how you made it this far without having any annotation sources defined in your module files, "
+                              "because we should have noticed this while parsing them. But it happened, and here we are. You need to go add "
+                              "'ANNOTATION_SOURCE' fields to those module files, and then re-do this setup.")
+        annotation_source_list = ",".join(list(self.annotation_sources))
+
+        self.populate_brite_table()
 
         # give some run info
         self.run.info('Modules database', 'A new database, %s, has been created.' % (self.db_path), quiet=self.quiet)
-        self.run.info('Number of KEGG modules', num_modules_parsed, quiet=self.quiet)
-        self.run.info('Number of entries', mod_table.get_total_entries(), quiet=self.quiet)
-        self.run.info('Number of parsing errors (corrected)', self.num_corrected_errors, quiet=self.quiet)
-        self.run.info('Number of parsing errors (uncorrected)', self.num_uncorrected_errors, quiet=self.quiet)
+        self.run.info('Number of modules', num_modules_parsed, quiet=self.quiet)
+        self.run.info('Number of module entries', mod_table.get_total_entries(), quiet=self.quiet)
+        self.run.info('Number of module parsing errors (corrected)', self.num_corrected_errors, quiet=self.quiet)
+        self.run.info('Number of module parsing errors (uncorrected)', self.num_uncorrected_errors, quiet=self.quiet)
+        self.run.info('Annotation sources required for estimation', ", ".join(self.annotation_sources))
+        if not self.skip_brite_hierarchies and self.brite_dict:
+            self.run.info('Number of BRITE hierarchies', self.num_hierarchies_parsed, quiet=self.quiet)
+            self.run.info('Number of ortholog BRITE categorizations', self.num_brite_categorizations, quiet=self.quiet)
 
         # record some useful metadata
         self.db.set_meta_value('db_type', 'modules')
+        self.db.set_meta_value('data_source', self.data_source)
+        self.db.set_meta_value('annotation_sources', annotation_source_list)
         self.db.set_meta_value('num_modules', num_modules_parsed)
-        self.db.set_meta_value('total_entries', mod_table.get_total_entries())
+        self.db.set_meta_value('total_module_entries', mod_table.get_total_entries())
+        if not self.skip_brite_hierarchies and self.brite_dict:
+            self.db.set_meta_value('is_brite_setup', True)
+            self.db.set_meta_value('num_brite_hierarchies', self.num_hierarchies_parsed)
+            self.db.set_meta_value('total_brite_entries', self.num_brite_categorizations)
+        else:
+            self.db.set_meta_value('is_brite_setup', False)
+            self.db.set_meta_value('num_brite_hierarchies', None)
+            self.db.set_meta_value('total_brite_entries', None)
         self.db.set_meta_value('creation_date', time.time())
         self.db.set_meta_value('hash', self.get_db_content_hash())
         self.db.set_meta_value('version', t.metabolic_modules_db_version)
@@ -4790,6 +6400,81 @@ def create(self):
         self.db.disconnect()
 
 
+    def populate_brite_table(self):
+        if self.skip_brite_hierarchies or not self.brite_dict:
+            return
+
+        self.progress.new("Loading BRITE hierarchies into Modules DB...")
+
+        # init the BRITE table
+        brite_table = BriteTable(self.brite_table_name)
+
+        num_hierarchies_parsed = 0
+        unrecognized_items = []
+        for hierarchy in self.brite_dict:
+            self.progress.update(f"Parsing BRITE hierarchy '{hierarchy}'")
+            hierarchy_accession = hierarchy[: 7] # the validity of the hierarchy accession was checked in `KeggSetup.process_brite_hierarchy_of_hierarchies`
+            hierarchy_name = hierarchy[7: ].lstrip()
+
+            brite_file_path = os.path.join(self.brite_data_directory, hierarchy_accession)
+            for ortholog, categorizations in self.invert_brite_json_dict(json.load(open(brite_file_path))).items():
+                split_ortholog = ortholog.split(' ')
+                ortholog_accession = split_ortholog[0]
+
+                # record items in the hierarchy that do not have expected ortholog accessions formatted KXXXXX
+                if len(ortholog_accession) != 6:
+                    unrecognized_items.append(f'{hierarchy}: {ortholog}')
+                    continue
+                if ortholog_accession[0] != 'K':
+                    unrecognized_items.append(f'{hierarchy}: {ortholog}')
+                    continue
+                try:
+                    int(ortholog_accession[1: ])
+                except ValueError:
+                    unrecognized_items.append(f'{hierarchy}: {ortholog}')
+                    continue
+
+                ortholog_name = ' '.join(split_ortholog[1: ]).lstrip()
+
+                # process each of the ortholog's categorizations in the hierarchy
+                for categorization in categorizations:
+                    if hierarchy_accession == 'ko00001':
+                        # the expected top-level classes of the "ko00001  KEGG Orthology (KO)"
+                        # hierarchy are "09100 Metabolism", "09120 Genetic Information Processing",
+                        # "09130 Environmental Information Processing", "09140 Cellular Processes",
+                        # "09150 Organismal Systems", "09160 Human Diseases", "09180 Brite
+                        # Hierarchies", and "09190 Not Included in Pathway or Brite". "09180 Brite
+                        # Hierarchies" is a representation of other hierarchies, such as "01001
+                        # Protein kinases [BR:ko01001]", as totally flat categories, with all
+                        # subcategories flattened out. We download and process json files for these
+                        # other hierarchies separately. Therefore ignore entries in "09180 Brite
+                        # Hierarchies". "09150 Organismal Systems" and "09160 Human Diseases" are
+                        # also ignored due to their focus on human genes. The value of "09190 Not
+                        # Included in Pathway or Brite" is debatable, but certain proteins are only
+                        # found in this category, such as bacterial circadian clock proteins
+                        # (classified under "09193 Unclassified: signaling and cellular processes"
+                        # >>> "99995 Signaling proteins"), so it is retained.
+                        category_accession = categorization[1].split(' ')[0]
+                        if category_accession == '09180' or category_accession == '09150' or category_accession == '09160':
+                            continue
+                    brite_table.append_and_store(self.db, hierarchy_accession, hierarchy_name, ortholog_accession, ortholog_name, '>>>'.join(categorization[1: ])) # ignore the first category, the accession of the hierarchy itself
+            num_hierarchies_parsed += 1
+        self.num_hierarchies_parsed = num_hierarchies_parsed
+        self.num_brite_categorizations = brite_table.get_total_entries()
+
+        if unrecognized_items and anvio.DEBUG:
+            self.run.warning("We attempted to parse some names of items in hierarchies as orthologs, "
+                             "but ignored them since they did not start with an accession formatted 'KXXXXX', where 'XXXXX' are five digits. "
+                             f"The following entries are formatted as '<hierarchy>: <ignored item>': {', '.join(set(unrecognized_items))}")
+
+        # once we are done parsing all hierarchies, we store whatever db entries remain in the db_entries list
+        # this is necessary because append_and_store() above only stores every 10000 entries
+        self.progress.update("Storing final batch of BRITE entries into DB")
+        brite_table.store(self.db)
+
+        self.progress.end()
+
+
     def disconnect(self):
         self.db.disconnect()
 
@@ -4817,8 +6502,16 @@ def get_db_content_hash(self):
 
 ######### MODULES TABLE ACCESS FUNCTIONS #########
 
-    def get_modules_table_data_values_as_dict(self, data_names_of_interest=[]):
-        """This function loads the modules table and returns it as a dictionary (of data values only) keyed by module.
+    def get_modules_table_as_dict(self, data_names_of_interest=[]):
+        """This function loads the modules table and returns it as a dictionary keyed by module.
+
+        Every data_name for the module (NAME, DEFINITION, ORTHOLOGY, etc) will become a key in the
+        inner dictionary, and the corresponding data_value will become its value. For data_names that
+        have multiple values (ORTHOLOGY, COMPOUND, REACTION, etc), the value becomes yet another dictionary
+        of data_value -> data_definition key-value pairs.
+
+        The one exception is DEFINITION lines - there are occasionally multiple of these for one module but
+        these must be returned as a list, not as a dictionary.
 
         PARAMETERS
         ==========
@@ -4849,19 +6542,35 @@ def get_modules_table_data_values_as_dict(self, data_names_of_interest=[]):
             mod = dict_from_mod_table[entry]['module']
             data_name = dict_from_mod_table[entry]['data_name']
             data_value = dict_from_mod_table[entry]['data_value']
+            data_definition = dict_from_mod_table[entry]['data_definition']
 
             if mod not in module_dictionary:
                 module_dictionary[mod] = {}
 
             if data_name not in module_dictionary[mod]:
-                module_dictionary[mod][data_name] = data_value
+                if not data_definition:
+                    module_dictionary[mod][data_name] = data_value
+                else:
+                    module_dictionary[mod][data_name] = {data_value : data_definition}
             else:
-                if isinstance(module_dictionary[mod][data_name], list):
-                    module_dictionary[mod][data_name].append(data_value)
+                # place multiple definition lines into list
+                if data_name == "DEFINITION":
+                    if isinstance(module_dictionary[mod][data_name], list):
+                        module_dictionary[mod][data_name].append(data_value)
+                    else:
+                        existing_val = module_dictionary[mod][data_name]
+                        module_dictionary[mod][data_name] = [existing_val, data_value]
                 else:
-                    # this is a data name that has multiple values, so we need to convert it to a list
-                    existing_val = module_dictionary[mod][data_name]
-                    module_dictionary[mod][data_name] = [existing_val, data_value]
+                    # data_value -> data_definition dictionary
+                    if isinstance(module_dictionary[mod][data_name], dict):
+                        if data_value in module_dictionary[mod][data_name]:
+                            module_dictionary[mod][data_name][data_value] += " / " + data_definition
+                        else:
+                            module_dictionary[mod][data_name][data_value] = data_definition
+                    else:
+                        existing_val = module_dictionary[mod][data_name]
+                        existing_val_data_def = dict_from_mod_table[entry-1]['data_definition']
+                        module_dictionary[mod][data_name] = {existing_val: existing_val_data_def, data_value: data_definition}
 
         return module_dictionary
 
@@ -4896,8 +6605,8 @@ def get_data_value_entries_for_module_by_data_name(self, module_num, data_name):
                 data_values_to_ret.append(dict_from_mod_table[key]['data_value'])
 
         if not data_values_to_ret:
-            self.run.warning("Just so you know, we tried to fetch data from the KEGG Modules database for the data_name field %s "
-                             "and KEGG module %s, but didn't come up with anything, so an empty list is being returned. This may "
+            self.run.warning("Just so you know, we tried to fetch data from the Modules database for the data_name field %s "
+                             "and module %s, but didn't come up with anything, so an empty list is being returned. This may "
                              "cause errors down the line, and if so we're very sorry for that.")
 
         return data_values_to_ret
@@ -4932,8 +6641,8 @@ def get_data_definition_entries_for_module_by_data_name(self, module_num, data_n
                 data_defs_to_ret.append(dict_from_mod_table[key]['data_definition'])
 
         if not data_defs_to_ret and anvio.DEBUG:
-            self.run.warning("Just so you know, we tried to fetch data definitions from the KEGG Modules database for the data_name field %s "
-                             "and KEGG module %s, but didn't come up with anything, so an empty list is being returned. This may "
+            self.run.warning("Just so you know, we tried to fetch data definitions from the Modules database for the data_name field %s "
+                             "and module %s, but didn't come up with anything, so an empty list is being returned. This may "
                              "cause errors down the line, and if so we're very sorry for that.")
 
         return data_defs_to_ret
@@ -4950,6 +6659,23 @@ def get_all_knums_as_list(self):
         return self.db.get_single_column_from_table(self.module_table_name, 'data_value', unique=True, where_clause=where_clause_string)
 
 
+    def get_ko_function_dict(self):
+        """This function returns a 2-level dictionary keyed by KO number. The inner dict contains a 'definition' field
+           that stores the KO's functional annotation.
+
+           This method effectively builds a partial KO dict similar to the one produced by the setup_ko_dict() function,
+           but containing only the KOs/gene annotations from the modules DB. When being used for user-defined metabolism,
+           it should be expanded later with gene annotations from the contigs database(s) being worked on.
+        """
+        where_clause_string = "data_name = 'ORTHOLOGY'"
+        kos_and_functions = self.db.get_some_columns_from_table(self.module_table_name, "data_value,data_definition", unique=True, where_clause=where_clause_string)
+        ko_func_dict = {}
+        for k,f in kos_and_functions:
+            if k not in ko_func_dict:
+                ko_func_dict[k] = {'definition': f }
+        return ko_func_dict
+
+
     def get_modules_for_knum(self, knum):
         """This function returns a list of modules that the given KO belongs to."""
         where_clause_string = "data_value = '%s'" % (knum)
@@ -4975,6 +6701,12 @@ def get_module_classes_for_knum_as_list(self, knum):
         return all_mods_classes_list
 
 
+    def get_ortholog_brite_categorizations(self, ortholog_accession):
+        """Return a list of the BRITE categorizations of the ortholog."""
+        where_clause_string = f"ortholog_accession = '{ortholog_accession}'"
+        return self.db.get_some_rows_from_table_as_dict(self.brite_table_name, where_clause=where_clause_string, error_if_no_data=False, row_num_as_key=True)
+
+
     def get_module_name(self, mnum):
         """This function returns the name of the specified KEGG module."""
 
@@ -5027,6 +6759,7 @@ def get_kegg_module_definition(self, mnum):
         """This function returns module DEFINITION fields as one string"""
 
         def_lines = self.get_data_value_entries_for_module_by_data_name(mnum, "DEFINITION")
+        def_lines = [l.strip() for l in def_lines] # sometimes there are stray spaces at the end of the string that will mess us up later
         return " ".join(def_lines)
 
 
@@ -5183,7 +6916,662 @@ def get_human_readable_compound_lists_for_module(self, mnum):
 
         return substrate_name_list, intermediate_name_list, product_name_list
 
+######### BRITE TABLE ACCESS FUNCTIONS #########
+
+    def get_brite_table_as_ortholog_dict(self, ortholog_accessions_of_interest=None, hierarchy_accessions_of_interest=None, category_substrings_of_interest=None, case_insensitive_substrings=False, use_ortholog_accessions_as_keys=False):
+        """Load the BRITE hierarchies table as a dictionary keyed by ortholog.
+
+        The returned dictionary contains each hierarchy and each categorization within the hierarchy
+        in which the ortholog is found.
+
+        The returned dictionary is structured as follows:
+            {
+                (<ortholog 1 accession>, <ortholog 1 name>):
+                    {
+                        (<hierarchy A accession>, <hierarchy A name>):
+                            [
+                                [(<category i accession>, <category i name>), (<category j accession>, <category j name>), ...],
+                                [(<category k accession>, <category k name>), (<category l accession>, <category l name>), ...],
+                                ...
+                            ],
+                        (<hierarchy B accession>, <hierarchy B name>):
+                            [
+                                [(<category x accession>, <category x name>), (<category y accession>, <category y name>), ...],
+                                ...
+                            ],
+                        ...
+                    },
+                (<ortholog 2 accession>, <ortholog 2 name>):
+                    {...},
+                ...
+            }
+
+        Here is an example of the entry for arginyl-tRNA synthetase:
+        ('K01887', 'RARS, argS; arginyl-tRNA synthetase [EC:6.1.1.19]'):
+            {
+                ('ko00001', 'KEGG Orthology (KO)'):
+                    [
+                        [('09120', 'Genetic Information Processing'), ('09122', 'Translation'), ('00970', 'Aminoacyl-tRNA biosynthesis')]
+                    ],
+                ('ko01000', 'Enzymes'):
+                    [
+                        [('6.', 'Ligases'), ('6.1', 'Forming carbon-oxygen bonds'), ('6.1.1', 'Ligases forming aminoacyl-tRNA and related compounds'), ('6.1.1.19', 'arginine---tRNA ligase')]
+                    ],
+                ('ko01007', 'Amino acid related enzymes'):
+                    [
+                        [('', 'Aminoacyl-tRNA synthetase'), ('', 'Class I (G)')]
+                    ],
+                ('ko03016', 'Transfer RNA biogenesis'):
+                    [
+                        [('', 'Eukaryotic type'), ('', 'Aminoacyl-tRNA synthetases (AARSs)'), ('', 'Multi-aminoacyl-tRNA synthetase complex (MSC)')],
+                        [('', 'Prokaryotic type'), ('', 'Aminoacyl-tRNA synthetases (AARSs)'), ('', 'Other AARSs')]
+                    ],
+                ('ko03029', 'Mitochondrial biogenesis'):
+                    [
+                        [('', 'Mitochondrial DNA transcription, translation, and replication factors'), ('', 'Mitochondrial transcription and translation factors'), ('', 'Other mitochondrial DNA transcription and translation factors')]
+                    ]
+            }
+
+        Keys and list items are split by accession and description, even in the absence of an
+        accession for a category in the hierarchy. Given the hierarchies that are used in
+        construction of the Modules database, only two are known to contain category "accessions."
+        "ko01000 Enzyme" hierarchy categories yield EC number accessions, and "k00001 KEGG Orthology
+        (KO)" hierarchy categories yield five digit accessions.
+
+        Categorization lists proceed from most general to most specific level.
+
+        Filtration with `hierarchy_accessions_of_interest` and `category_substrings_of_interest`
+        returns the orthologs in the hierarchies and matched categories of interest, and also
+        reduces the returned dictionary to the selected hierarchies and categorizations with matched
+        categories. In the example of arginyl-tRNA synthetase, if `hierarchy_accessions_of_interest`
+        is ['ko03016'] and `category_substrings_of_interest` is ['aminoacyl-tRNA synthetase'], then
+        the returned dictionary becomes:
+        ('K01887', 'RARS, argS; arginyl-tRNA synthetase [EC:6.1.1.19]'):
+            {
+                ('ko03016', 'Transfer RNA biogenesis'):
+                    [
+                        [('', 'Eukaryotic type'), ('', 'Aminoacyl-tRNA synthetases (AARSs)'), ('', 'Multi-aminoacyl-tRNA synthetase complex (MSC)')],
+                        [('', 'Prokaryotic type'), ('', 'Aminoacyl-tRNA synthetases (AARSs)'), ('', 'Other AARSs')]
+                    ]
+            }
+
+        PARAMETERS
+        ==========
+        ortholog_accessions_of_interest : list, None
+            filters results to orthologs of interest
+
+        hierarchy_accessions_of_interest : list, None
+            filters results to hierarchies of interest
+
+        category_substrings_of_interest : list, None
+            filters results to categories containing substrings of interest
+
+        case_insensitive_substrings : bool, False
+            changes category substring search to be case insensitive
+
+        use_ortholog_accessions_as_keys : bool, False
+            ortholog keys of returned dictionary are accession strings rather than tuples
+
+        RETURNS
+        =======
+        ortholog_dict : dict
+            dictionary of ortholog BRITE categorizations
+        """
+
+        if ortholog_accessions_of_interest or hierarchy_accessions_of_interest:
+            # filter table by orthologs, hierarchies, and category substrings of interest
+            where_clause_string = ""
+
+            if ortholog_accessions_of_interest:
+                ortholog_list = [f"'{knum}'" for knum in ortholog_accessions_of_interest]
+                where_clause_string += f"ortholog_accession IN ({','.join(ortholog_list)})"
+
+            if hierarchy_accessions_of_interest:
+                hierarchy_list = [f"'{konum}'" for konum in hierarchy_accessions_of_interest]
+                if where_clause_string:
+                    where_clause_string += " AND "
+                where_clause_string += f"hierarchy_accession IN ({','.join(hierarchy_list)})"
+
+            if category_substrings_of_interest:
+                if where_clause_string:
+                    where_clause_string += " AND ("
+                for substring in category_substrings_of_interest:
+                    if case_insensitive_substrings:
+                        where_clause_string += f"UPPER(categorization) LIKE UPPER('%{substring}%') OR "
+                    else:
+                        where_clause_string += f"categorization LIKE '%{substring}%' OR "
+                where_clause_string = where_clause_string[: -4] + ")"
+
+            # this WILL fail if you ask for a data name that doesn't exist, so know your data before you query
+            dict_from_brite_table = self.db.get_some_rows_from_table_as_dict(self.brite_table_name, where_clause_string, row_num_as_key=True)
+        else:
+            dict_from_brite_table = self.db.get_table_as_dict(self.brite_table_name, row_num_as_key=True)
+
+        # the returned dict is keyed by an arbitrary integer, and each value is a dict containing one row from the BRITE table, e.g.,
+        # 0: {'hierarchy_accession': 'ko00001',
+        #     'hierarchy_name': 'KEGG Orthology (KO)',
+        #     'ortholog_accession': 'K00001',
+        #     'ortholog_name': 'E1.1.1.1, adh; alcohol dehydrogenase [EC:1.1.1.1]',
+        #     'categorization': '09100 Metabolism>>>09101 Carbohydrate metabolism>>>00010 Glycolysis / Gluconeogenesis [PATH:ko00010]'}
+
+        # now we convert this to a per-ortholog dict
+        ortholog_dict = {}
+        for entry_dict in dict_from_brite_table.values():
+            ortholog_accession = entry_dict['ortholog_accession']
+            ortholog_name = entry_dict['ortholog_name']
+            hierarchy_accession = entry_dict['hierarchy_accession']
+            hierarchy_name = entry_dict['hierarchy_name']
+            categorization = entry_dict['categorization']
+
+            if use_ortholog_accessions_as_keys:
+                ortholog_key = ortholog_accession
+            else:
+                ortholog_key = (ortholog_accession, ortholog_name)
+            try:
+                hierarchy_dict = ortholog_dict[ortholog_key]
+            except KeyError:
+                ortholog_dict[ortholog_key] = hierarchy_dict = {}
+
+            hierarchy_key = (hierarchy_accession, hierarchy_name)
+            try:
+                category_list = hierarchy_dict[hierarchy_key]
+            except KeyError:
+                hierarchy_dict[hierarchy_key] = category_list = []
+
+            categories = categorization.split('>>>')
+            if hierarchy_accession == 'ko00001' or hierarchy_accession == 'ko01000':
+                # the hierarchies, "ko00001 KEGG Orthology (KO)" and "ko01000 Enzymes", should have "accessions" for each category
+                parsed_categories = []
+                for category in categories:
+                    split_category = category.split(' ')
+                    parsed_categories.append((split_category[0], ' '.join(split_category[1: ])))
+            else:
+                parsed_categories = [('', category) for category in categories]
+            category_list.append(parsed_categories)
+
+        return ortholog_dict
+
+
+    def get_brite_table_as_hierarchy_dict(self, hierarchy_accessions_of_interest=None, level_cutoff=None, collapse_keys=False, collapse_mixed_branches=True):
+        """Load the BRITE hierarchies table as a dictionary keyed by hierarchy.
+
+        The returned dictionary contains the category structure of the hierarchy and a set of
+        orthologs in each categorization.
+
+        With `collapse_keys` set to the default of False and `collapse_mixed_branches` set to the
+        default of True, the returned dictionary is structured as follows:
+            {
+                (<hierarchy A accession>, <hierarchy A name>):
+                    {
+                        (<level 1 category i accession>, <level 1 category i name>):
+                            {
+                                (<level 2 category j accession>, <level 2 category j name>):
+                                    set([(<ortholog 1 accession>, <ortholog 1 name>), (<ortholog 2 accession>, <ortholog 2 name>), ...]),
+                                (<level 2 category k accession>, <level 2 category k name>):
+                                    set([(<ortholog 3 accession>, <ortholog 3 name>), (<ortholog 4 accession>, <ortholog 4 name>), ...]),
+                                (<level 2 category l accession>, <level 2 category l name>):
+                                    {...},
+                                ...
+                            },
+                        (<level 1 category m accession>, <level 1 category m name>):
+                            {...},
+                        ...
+                    },
+                    {
+                        (<level 1 category n accession>, <level 1 category n name>):
+                            {...},
+                        ...
+                    },
+                (<hierarchy B accession>, <hierarchy B name>):
+                    {...},
+                ...
+            }
+
+        Here is an example of the entry for the "Ribosome" hierarchy:
+            ('ko03011', 'Ribosome'):
+                {
+                    ('', 'Ribosomal proteins'):
+                        {
+                            ('', 'Eukaryotes'):
+                                {
+                                    ('', 'Small subunit'):
+                                        set([('K02981', 'RP-S2e, RPS2; small subunit ribosomal protein S2e'), ('K02985', 'RP-S3e, RPS3; small subunit ribosomal protein S3e'), ...]),
+                                    ('', 'Large subunit'):
+                                        set([('K02925', 'RP-L3e, RPL3; large subunit ribosomal protein L3e'), ('K02930', 'RP-L4e, RPL4; large subunit ribosomal protein L4e'), ...])
+                                },
+                            ('', 'Mitochondria/ Chloroplast'):
+                                {
+                                    ('', 'Small subunit'):
+                                        {...}
+                                    ('', 'Large subunit'):
+                                        {...}
+                                },
+                            ('', 'Bacteria'):
+                                {
+                                    ...
+                                },
+                            ('', 'Archaea'):
+                                {
+                                    ...
+                                }
+                        },
+                    ('', 'Ribosomal RNAs'):
+                        {
+                            ('Eukaryotes'):
+                                set([('K01979', 'SSUrRNA; small subunit ribosomal RNA'), ('K01982', 'LSUrRNA; large subunit ribosomal RNA'), ...]),
+                            ('Prokaryotes'):
+                                set([('K01985', '5SrRNA, rrf; 5S ribosomal RNA'), ('K01977', '16SrRNA, rrs; 16S ribosomal RNA'), ('K01980', '23SrRNA, rrl; 23S ribosomal RNA')])
+                        }
+                }
+
+        Keys and set items are split by accession and description, even in the absence of an
+        accession for a category in the hierarchy, as seen in the example. The only hierarchies
+        expected to contain category "accessions" are "ko00001 Gene Ontology (KO)" and "ko01000
+        Enzymes".
+
+        Levels of the hierarchy can be collapsed with the `level_cutoff` argument. If `level_cutoff`
+        is a positive number, it is measured down from the top level of the hierarchy (level 1). If
+        `level_cutoff` is a negative number, it is measured up from the bottom-most level of the
+        hierarchy. Since different branches of the hierarchy can have different depths, the negative
+        number is converted to a positive number given the deepest branch: in the "Ribosome"
+        example, the "Ribosomal proteins" branch has 3 levels, and the "Ribosomal RNAs" branch has 2
+        levels, level -2 would be measured against the "Ribosomal proteins" branch and be converted
+        to level 1. If the negative parameterization would eliminate all levels of the hierarchy,
+        the cutoff is set to level 1.
+
+        Example: `level_cutoff` is set to 1 or -2, so levels below "Ribosomal proteins" and
+        "Ribosomal RNAs" are removed:
+            ('ko03011', 'Ribosome'):
+                {
+                    ('', 'Ribosomal proteins'):
+                        set([('K02981', 'RP-S2e, RPS2; small subunit ribosomal protein S2e'), ('K02985', 'RP-S3e, RPS3; small subunit ribosomal protein S3e'), ...]),
+                    ('', 'Ribosomal RNAs'):
+                        set([('K01979', 'SSUrRNA; small subunit ribosomal RNA'), ('K01982', 'LSUrRNA; large subunit ribosomal RNA'), ...])
+                }
+
+        Example: `level_cutoff` is set to -1, only removing "Small subunit" and "Large subunit"
+        levels under "Ribosomal proteins" but not levels under "Ribosomal RNAs".
+            ('ko03011', 'Ribosome'):
+                {
+                    ('', 'Ribosomal proteins'):
+                        {
+                            ('', 'Eukaryotes'):
+                                set([('K02981', 'RP-S2e, RPS2; small subunit ribosomal protein S2e'), ('K02985', 'RP-S3e, RPS3; small subunit ribosomal protein S3e'), ...]),
+                            ('', 'Mitochondria/ Chloroplasts'):
+                                set([...]),
+                            ('', 'Bacteria'):
+                                set([...]),
+                            ('', 'Archaea'):
+                                set([...])
+                        },
+                    ('', 'Ribosomal RNAs'):
+                        {
+                            ('', 'Eukaryotes'):
+                                set([...]),
+                            ('', 'Prokaryotes'):
+                                set([...])
+                        }
+
+        Dictionary nesting can be simplified by `collapse_keys`. Each ortholog set is keyed by a
+        single categorization tuple. Applied to the "Ribosome" hierarchy:
+            ('ko03011', 'Ribosome'):
+                {
+                    (('', 'Ribosomal proteins'), ('', 'Eukaryotes'), ('', 'Small subunit')):
+                        set([('K02981', 'RP-S2e, RPS2; small subunit ribosomal protein S2e'), ('K02985', 'RP-S3e, RPS3; small subunit ribosomal protein S3e'), ...]),
+                    (('', 'Ribosomal proteins'), ('', 'Eukaryotes'), ('', 'Large subunit')):
+                        set([('K02925', 'RP-L3e, RPL3; large subunit ribosomal protein L3e'), ('K02930', 'RP-L4e, RPL4; large subunit ribosomal protein L4e'), ...]),
+                    (('', 'Ribosomal proteins'), ('', 'Mitochondria/ Chloroplasts'), ('', 'Small subunit')):
+                        set([...]),
+                    ...
+                }
+
+        To this point, we have ignored the possibility that a category containing ortholog "leaves"
+        can also contain additional category "branches". An example of this is in the "RNases"
+        category of the "Ribosome biogenesis" hierarchy. The category contains RNases such as
+        "K14812  NGL2; RNA exonuclease NGL2 [EC:3.1.-.-]", but also includes a category of "RNase
+        MRP" subunits, including "K01164  POP1; ribonuclease P\/MRP protein subunit POP1
+        [EC:3.1.26.5]". With the parameter, `collapse_mixed_branches`, set to the default of True,
+        categories in such "mixed" branches are collapsed out of existence: subunit orthologs are
+        placed in "RNases" rather than "RNase MRP", which is removed.
+
+        Mixed branches can be preserved by setting `collapse_mixed_branches` to False. This also
+        changes the structure of the returned dictionary. Now, rather than a category key mapping to
+        EITHER a dict or a set, each category key maps to a tuple of (1) an ortholog set and (2) a
+        category dict. Without `collapse keys`, the returned dictionary is structured as follows:
+            {
+                (<hierarchy A accession>, <hierarchy A name>):
+                    {
+                        (<level 1 category i accession>, <level 1 category i name>):
+                            (
+                                set([...]),
+                                {
+                                    (<level 2 category j accession>, <level 2 category j name>):
+                                        (
+                                            set([(<ortholog 1 accession>, <ortholog 1 name>), (<ortholog 2 accession>, <ortholog 2 name>), ...]),
+                                            {...}
+                                        ),
+                                    (<level 2 category k accession>, <level 2 category k name>):
+                                        (
+                                            set([(<ortholog 3 accession>, <ortholog 3 name>), (<ortholog 4 accession>, <ortholog 4 name>), ...]),
+                                            {}
+                                        ),
+                                    (<level 2 category l accession>, <level 2 category l name>):
+                                        (
+                                            set([]),
+                                            {...},
+                                        )
+                                    ...
+                                }
+                            ),
+                        (<level 1 category m accession>, <level 1 category m name>):
+                            (
+                                set([...]),
+                                {...}
+                            ),
+                        ...
+                (<hierarchy B accession>, <hierarchy B name>):
+                    {...},
+                ...
+            }
+
+        With `collapse_keys` and without `collapse_mixed_branches`, the format of the returned
+        dictionary is the same as with `collapse_keys` and `collapse_mixed_branches`. The only
+        difference is that there can be entries for orthologs in a category and orthologs in a
+        subcategory: the categorization key tuples are the same for such entries up to the
+        subcategory elements.
+
+        PARAMETERS
+        ==========
+        hierarchy_accessions_of_interest : list, None
+            filters results to hierarchies of interest
+
+        level_cutoff : int, None
+            collapse branches below the level cutoff, with a positive level measured top-down and a
+            negative level measured bottom-up from the deepest branch of the tree
+
+        collapse_keys: bool, False
+            eliminate category nesting, keying each ortholog set by a single categorization tuple
+
+        collapse_mixed_branches : bool, True
+            collapse category branches off a category node that also ends in ortholog leaves
+
+        RETURNS
+        =======
+        hierarchy_dict : dict
+            dictionary of BRITE hierarchies
+        """
+
+        if hierarchy_accessions_of_interest:
+            hierarchy_list = [f"'{konum}'" for konum in hierarchy_accessions_of_interest]
+            where_clause_string = f"hierarchy_accession IN ({','.join(hierarchy_list)})"
+            # this WILL fail if you ask for a data name that doesn't exist, so know your data before you query
+            dict_from_brite_table = self.db.get_some_rows_from_table_as_dict(self.brite_table_name, where_clause_string, row_num_as_key=True)
+        else:
+            dict_from_brite_table = self.db.get_table_as_dict(self.brite_table_name, row_num_as_key=True)
+
+        # the returned dict is keyed by an arbitrary integer, and each value is a dict containing one row from the BRITE table, e.g.,
+        # 0: {'hierarchy_accession': 'ko01000',
+        #     'hierarchy_name': 'Enzymes',
+        #     'ortholog_accession': 'K00001',
+        #     'ortholog_name': 'E1.1.1.1, adh; alcohol dehydrogenase [EC:1.1.1.1]',
+        #     'categorization': '1. Oxidoreductases>>>1.1  Acting on the CH-OH group of donors>>>1.1.1  With NAD+ or NADP+ as acceptor>>>1.1.1.1  alcohol dehydrogenase'}
+
+        # find the maximum depth of each hierarchy
+        max_depth_dict = self.get_brite_max_depth_dict(dict_from_brite_table)
+
+        if level_cutoff == 0 or type(level_cutoff) != int:
+            raise ConfigError("`level_cutoff` must be a nonzero integer.")
+
+        # set the level cutoff for each hierarchy
+        if level_cutoff > 0:
+            topdown_level_cutoff_dict = {hierarchy_accession: min(level_cutoff, max_depth) for hierarchy_accession, max_depth in max_depth_dict.items()}
+        elif level_cutoff < 0:
+            # find the positive level corresponding to the negative level cutoff for each
+            # hierarchy, ensuring that at least one category remains per hierarchy
+            topdown_level_cutoff_dict = {hierarchy_accession: max(max_depth + level_cutoff, 1) for hierarchy_accession, max_depth in max_depth_dict.items()}
+        else:
+            topdown_level_cutoff_dict = max_depth_dict
+
+        # hierarchy level cutoffs can be affected by collapsing subcategories of mixed categories
+        if collapse_mixed_branches:
+            topdown_level_cutoff_dict = self.get_brite_topdown_level_cutoff_dict_ignoring_subcategories_of_mixed_categories(topdown_level_cutoff_dict, dict_from_brite_table)
+
+        # create the per-hierarchy dict
+        hierarchy_dict = {}
+        for row_id, entry_dict in dict_from_brite_table.items():
+            ortholog_accession = entry_dict['ortholog_accession']
+            ortholog_name = entry_dict['ortholog_name']
+            hierarchy_accession = entry_dict['hierarchy_accession']
+            hierarchy_name = entry_dict['hierarchy_name']
+            categorization = entry_dict['categorization']
+            categories = categorization.split('>>>')
+
+            # the hierarchies, "ko00001 KEGG Orthology (KO)" and "ko01000 Enzymes", should have "accessions" for each category
+            if hierarchy_accession == 'ko00001' or hierarchy_accession == 'ko01000':
+                parsed_categories = []
+                for category in categories:
+                    split_category = category.split(' ')
+                    parsed_categories.append((split_category[0], ' '.join(split_category[1: ])))
+            else:
+                parsed_categories = [('', category) for category in categories]
+
+            # make the top-level category dict for the hierarchy
+            try:
+                category_dict = hierarchy_dict[(hierarchy_accession, hierarchy_name)]
+            except KeyError:
+                hierarchy_dict[(hierarchy_accession, hierarchy_name)] = category_dict = {}
+
+            topdown_level_cutoff = topdown_level_cutoff_dict[hierarchy_accession]
+
+            if collapse_mixed_branches:
+                # each value of a category dict is either a set or a dict
+                if collapse_keys:
+                    key = tuple(parsed_categories[: topdown_level_cutoff])
+                    try:
+                        ortholog_set = category_dict[key]
+                    except KeyError:
+                        category_dict[key] = ortholog_set = set()
+                    ortholog_set.add((ortholog_accession, ortholog_name))
+                else:
+                    num_categories = len(parsed_categories)
+                    for level, category in enumerate(parsed_categories, 1):
+                        if level == topdown_level_cutoff:
+                            try:
+                                ortholog_set = category_dict[category]
+                            except KeyError:
+                                category_dict[category] = ortholog_set = set()
+                            ortholog_set.add((ortholog_accession, ortholog_name))
+                            break
+                        try:
+                            category_dict = category_dict[category]
+                        except KeyError:
+                            category_dict[category] = category_dict = {}
+            else:
+                # each value of a category dict is a tuple containing a set and a dict
+                if collapse_keys:
+                    key = tuple(parsed_categories[: topdown_level_cutoff])
+                    try:
+                        ortholog_set = category_dict[key]
+                    except KeyError:
+                        category_dict[key] = ortholog_set = set()
+                    ortholog_set.add((ortholog_accession, ortholog_name))
+                else:
+                    num_categories = len(parsed_categories)
+                    for level, category in enumerate(parsed_categories, 1):
+                        if level == topdown_level_cutoff:
+                            try:
+                                category_tuple = category_dict[category]
+                            except KeyError:
+                                category_dict[category] = category_tuple = (set(), {})
+                            category_tuple[0].add((ortholog_accession, ortholog_name))
+                            break
+                        try:
+                            category_dict = category_dict[category][1]
+                        except KeyError:
+                            category_dict[category] = category_tuple = (set(), {})
+                            category_dict = category_tuple[1]
+
+        return hierarchy_dict
+
+
+    def get_brite_max_depth_dict(self, dict_from_brite_table=None):
+        """Return a dictionary of the maximum depths of BRITE hierarchies.
+
+        "Maximum depth" is greatest number of levels of categorization of an ortholog in the
+        hierarchy.
+
+        By default, without `dict_from_brite_table`, every hierarchy in the database is analyzed.
+        With that argument, only the hierarchies represented in the dict are analyzed.
+
+        PARAMETERS
+        ==========
+        dict_from_brite_table : dict
+            contains BRITE table rows of interest, as returned, for example, by `get_some_rows_from_table_as_dict`
+
+        RETURNS
+        =======
+        max_depth_dict : dict
+            relates hierarchy accession keys to maximum depths
+        """
+        if not dict_from_brite_table:
+            dict_from_brite_table = self.db.get_table_as_dict(self.brite_table_name, row_num_as_key=True)
+
+        max_depth_dict = {}
+        for entry_dict in dict_from_brite_table.values():
+            hierarchy_accession = entry_dict['hierarchy_accession']
+            categories = entry_dict['categorization'].split('>>>')
+            try:
+                current_max_depth = max_depth_dict[hierarchy_accession]
+            except KeyError:
+                current_max_depth = 0
+            max_depth_dict[hierarchy_accession] = max(current_max_depth, len(categories))
+
+        return max_depth_dict
+
+
+    def get_brite_depth_dict_ignoring_subcategories_of_mixed_categories(self, dict_from_brite_table=None, input_depth_dict=None):
+        """Return hierarchy depths disregarding bottom levels of hierarchy that only exist due to subcategories of mixed categories.
+
+        "Mixed" categories contain both subcategories and orthologs.
+
+        Example: The depth of a hierarchy is 4, but this is only due to a subcategory of a depth 3
+        mixed category. After collapsing this subcategory, hierarchy depth is reduced to 3.
+
+        With default arguments, all BRITE table entries and maximum hierarchy depths are considered.
+
+        PARAMETERS
+        ==========
+        dict_from_brite_table : dict, None
+            contains BRITE table rows of interest, as returned, for example, by
+            `self.db.get_some_rows_from_table_as_dict`
+
+        input_depth_dict : dict, None
+            contains hierarchy depths of interest, as returned, for example, by
+            `self.get_brite_max_depth_dict`
+
+        RETURNS
+        =======
+        depth_dict : dict, None
+            contains adjusted hierarchy depths
+        """
+        if not dict_from_brite_table:
+            dict_from_brite_table = self.db.get_table_as_dict(self.brite_table_name, row_num_as_key=True)
+
+        if input_depth_dict:
+            depth_dict = copy.deepcopy(input_depth_dict)
+        else:
+            depth_dict = self.get_brite_max_depth_dict(dict_from_brite_table)
+
+        deep_categorizations = {} # depth of categorization greater than or equal to level cutoff
+        shallow_categorizations = {} # depth of categorization less than level cutoff
+        hierarchy_culprits = set([]) # hierarchies containing subcategories of mixed categories responsible for depth exceeding level cutoff
+        is_checked = False
+        # keep trimming hierarchy "culprits" until the deepest level is not a subcategory of a mixed category
+        while hierarchy_culprits or not is_checked:
+            for entry_dict in dict_from_brite_table.values():
+                hierarchy_accession = entry_dict['hierarchy_accession']
+                if is_checked and hierarchy_accession not in hierarchy_culprits:
+                    continue
+                categorization = entry_dict['categorization']
+                categories = categorization.split('>>>')
+                if len(categories) >= depth_dict[hierarchy_accession]:
+                    try:
+                        deep_categorizations[hierarchy_accession].add(categorization)
+                    except KeyError:
+                        deep_categorizations[hierarchy_accession] = set([categorization])
+                else:
+                    try:
+                        shallow_categorizations[hierarchy_accession].add(categorization)
+                    except KeyError:
+                        shallow_categorizations[hierarchy_accession] = set([categorization])
+
+            # interrogate the "deep" categorizations in each hierarchy
+            for hierarchy_accession, hierarchy_deep_categorizations in deep_categorizations.items():
+                # if all categorizations are deep, then the hierarchy cannot be a "culprit"
+                try:
+                    hierarchy_shallow_categorizations = shallow_categorizations[hierarchy_accession]
+                except KeyError:
+                    continue
+
+                # compare deep categorization strings with all shallow categorizations
+                # strings, checking if the shallow categorization is a substring of the deep
+                # categorization, and thus the deep categorization is a subcategory of a
+                # mixed category
+                subcategorization_culprits = []
+                for deep_categorization in hierarchy_deep_categorizations:
+                    for shallow_categorization in hierarchy_shallow_categorizations:
+                        if deep_categorization[: len(shallow_categorization)] == shallow_categorization:
+                            if deep_categorization[len(shallow_categorization): len(shallow_categorization) + 3] == '>>>':
+                                subcategorization_culprits.append(deep_categorization)
+                                break
+
+                # remove culprit subcategories
+                for deep_categorization in subcategorization_culprits:
+                    hierarchy_deep_categorizations.remove(deep_categorization)
+
+                hierarchy_culprits.add(hierarchy_accession)
+                if hierarchy_deep_categorizations:
+                    # there are no more subcategory culprits, but the hierarchy is still
+                    # deeper than the level cutoff: the deep categories will be collapsed as
+                    # per normal
+                    hierarchy_culprits.remove(hierarchy_accession)
+                else:
+                    # there are no more subcategory culprits, so the level cutoff can simply be reduced by 1
+                    depth_dict[hierarchy_accession] = depth_dict[hierarchy_accession] - 1
+            is_checked = True
+
+        return depth_dict
+
+
+    def list_brite_hierarchies(self, as_accessions=False, as_tuples=False):
+        """List all BRITE hierarchies in the database.
+
+        PARAMETERS
+        ==========
+        as_accessions : bool, False
+            return list of hierarchy accessions
+
+        as_tuples : bool, False
+            return list of tuples of hierarchy accessions and names
+
+        RETURNS
+        =======
+        hierarchy_entries : list
+            database BRITE hierarchies, formatted "<accession> <name>" with default parameterization
+        """
+
+        if as_accessions:
+            hierarchy_entries = self.db.get_single_column_from_table(self.brite_table_name, 'hierarchy_accession', unique=True)
+        else:
+            hierarchy_entries = self.db.get_some_columns_from_table(self.brite_table_name, 'hierarchy_accession, hierarchy_name', unique=True)
+            if not as_tuples:
+                hierarchy_entries = [f"{accession} {name}" for accession, name in hierarchy_entries]
+
+        return hierarchy_entries
+
+
 ######### MODULE DEFINITION UNROLLING FUNCTIONS #########
+
     def get_top_level_steps_in_module_definition(self, mnum):
         """This function access the DEFINITION line of a KEGG Module and returns the top-level steps as a list
 
@@ -5192,7 +7580,7 @@ def get_top_level_steps_in_module_definition(self, mnum):
         """
 
         def_string = self.get_kegg_module_definition(mnum)
-        return self.split_by_delim_not_within_parens(def_string, " ")
+        return utils.split_by_delim_not_within_parens(def_string, " ")
 
 
     def unroll_module_definition(self, mnum, def_lines = None):
@@ -5222,59 +7610,6 @@ def unroll_module_definition(self, mnum, def_lines = None):
         return def_line_paths
 
 
-    def split_by_delim_not_within_parens(self, d, delims, return_delims=False):
-        """Takes a string, and splits it on the given delimiter(s) as long as the delimeter is not within parentheses.
-
-        This function exists because regular expressions don't handle nested parentheses very well. It is used in the
-        recursive module definition unrolling functions to split module steps, but it is generically written in case
-        it could have other uses in the future.
-
-        The function can also be used to determine if the parentheses in the string are unbalanced (it will return False
-        instead of the list of splits in this situation)
-
-        PARAMETERS
-        ==========
-        d : str
-            string to split
-        delims : str or list of str
-            a single delimiter, or a list of delimiters, to split on
-        return_delims : boolean
-            if this is true then the list of delimiters found between each split is also returned
-
-        RETURNS
-        =======
-        If parentheses are unbalanced in the string, this function returns False. Otherwise:
-        splits : list
-            strings that were split from d
-        delim_list : list
-            delimiters that were found between each split (only returned if return_delims is True)
-        """
-
-        parens_level = 0
-        last_split_index = 0
-        splits = []
-        delim_list = []
-        for i in range(len(d)):
-            # only split if not within parentheses
-            if d[i] in delims and parens_level == 0:
-                splits.append(d[last_split_index:i])
-                delim_list.append(d[i])
-                last_split_index = i + 1 # we add 1 here to skip the space
-            elif d[i] == "(":
-                parens_level += 1
-            elif d[i] == ")":
-                parens_level -= 1
-
-            # if parentheses become unbalanced, return False to indicate this
-            if parens_level < 0:
-                return False
-        splits.append(d[last_split_index:len(d)])
-
-        if return_delims:
-            return splits, delim_list
-        return splits
-
-
     def recursive_definition_unroller(self, step):
         """This function recursively splits a module definition into its components.
 
@@ -5298,7 +7633,7 @@ def recursive_definition_unroller(self, step):
             all paths that the input step has been unrolled into
         """
 
-        split_steps = self.split_by_delim_not_within_parens(step, " ")
+        split_steps = utils.split_by_delim_not_within_parens(step, " ")
         paths_list = [[]]  # list to save all paths, with initial empty path list to extend from
         for s in split_steps:
             # base case: step is a ko, mnum, non-essential step, or '--'
@@ -5309,19 +7644,19 @@ def recursive_definition_unroller(self, step):
                 if s[0] == "(" and s[-1] == ")":
                     # here we try splitting to see if removing the outer parentheses will make the definition become unbalanced
                     # (the only way to figure this out is to try it because regex cannot handle nested parentheses)
-                    comma_substeps = self.split_by_delim_not_within_parens(s[1:-1], ",")
+                    comma_substeps = utils.split_by_delim_not_within_parens(s[1:-1], ",")
                     if not comma_substeps: # if it doesn't work, try without removing surrounding parentheses
-                        comma_substeps = self.split_by_delim_not_within_parens(s, ",")
-                    space_substeps = self.split_by_delim_not_within_parens(s[1:-1], " ")
+                        comma_substeps = utils.split_by_delim_not_within_parens(s, ",")
+                    space_substeps = utils.split_by_delim_not_within_parens(s[1:-1], " ")
                     if not space_substeps:
-                        space_substeps = self.split_by_delim_not_within_parens(s, " ")
+                        space_substeps = utils.split_by_delim_not_within_parens(s, " ")
                 else:
-                    comma_substeps = self.split_by_delim_not_within_parens(s, ",")
-                    space_substeps = self.split_by_delim_not_within_parens(s, " ")
+                    comma_substeps = utils.split_by_delim_not_within_parens(s, ",")
+                    space_substeps = utils.split_by_delim_not_within_parens(s, " ")
 
                 # complex case: no commas OR spaces outside parentheses so this is a protein complex rather than a compound step
                 if len(comma_substeps) == 1 and len(space_substeps) == 1:
-                    complex_components, delimiters = self.split_by_delim_not_within_parens(s, ["+","-"], return_delims=True)
+                    complex_components, delimiters = utils.split_by_delim_not_within_parens(s, ["+","-"], return_delims=True)
                     complex_strs = [""]
 
                     # reconstruct the complex (and any alternate possible complexes) while keeping the +/- structure the same
@@ -5377,11 +7712,11 @@ def split_path(self, step):
         """
 
         if step[0] == "(" and step[-1] == ")":
-            substeps = self.split_by_delim_not_within_parens(step[1:-1], ",")
+            substeps = utils.split_by_delim_not_within_parens(step[1:-1], ",")
             if not substeps: # if it doesn't work, try without removing surrounding parentheses
-                substeps = self.split_by_delim_not_within_parens(step, ",")
+                substeps = utils.split_by_delim_not_within_parens(step, ",")
         else:
-            substeps = self.split_by_delim_not_within_parens(step, ",")
+            substeps = utils.split_by_delim_not_within_parens(step, ",")
 
         alt_path_list = []
         for s in substeps:
@@ -5392,7 +7727,7 @@ def split_path(self, step):
         return alt_path_list
 
 
-class KeggModulesTable:
+class ModulesTable:
     """This class defines operations for creating the KEGG Modules table in Modules.db"""
 
     def __init__(self, mod_table_name = None):
@@ -5403,7 +7738,7 @@ def __init__(self, mod_table_name = None):
         if mod_table_name:
             self.module_table_name = mod_table_name
         else:
-            raise ConfigError("Beep Beep. Warning. KeggModulesTable was initialized without knowing its own name.")
+            raise ConfigError("Beep Beep. Warning. ModulesTable was initialized without knowing its own name.")
 
 
     def append_and_store(self, db, module_num, data_name, data_value, data_definition=None, line_num=None):
@@ -5431,6 +7766,45 @@ def get_total_entries(self):
         return self.total_entries
 
 
+class BriteTable:
+    """This class defines operations for creating the KEGG BRITE hierarchies table in Modules.db"""
+
+    def __init__(self, brite_table_name = None):
+        """"""
+        self.db_entries = []
+        self.total_entries = 0
+
+        if brite_table_name:
+            self.brite_table_name = brite_table_name
+        else:
+            raise ConfigError("Beep Beep. Warning. BriteTable was initialized without knowing its own name.")
+
+
+    def append_and_store(self, db, hierarchy_accession, hierarchy_name, ortholog_accession, ortholog_name, categorization):
+        """This function handles collects db entries (as tuples) into a list, and once we have 10,000 of them it stores that set into the Modules table.
+
+        The db_entries list is cleared after each store so that future stores don't add duplicate entries to the table.
+        """
+
+        db_entry = tuple([hierarchy_accession, hierarchy_name, ortholog_accession, ortholog_name, categorization])
+        self.db_entries.append(db_entry)
+        self.total_entries += 1
+
+        # we can store chunks of 5000 at a time, so we don't want over 10,000 entries.
+        if len(self.db_entries) >= 10000:
+            self.store(db)
+            self.db_entries = []
+
+
+    def store(self, db):
+        if len(self.db_entries):
+            db._exec_many('''INSERT INTO %s VALUES (%s)''' % (self.brite_table_name, (','.join(['?'] * len(self.db_entries[0])))), self.db_entries)
+
+
+    def get_total_entries(self):
+        return self.total_entries
+
+
 class KeggModuleEnrichment(KeggContext):
     """This class is a driver for anvi-script-enrichment-stats for modules input.
 
@@ -5454,6 +7828,7 @@ def __init__(self, args, run=run, progress=progress):
         self.module_completion_threshold = A('module_completion_threshold') or 0.75
         self.output_file_path = A('output_file')
         self.include_missing = True if A('include_samples_missing_from_groups_txt') else False
+        self.use_stepwise_completeness = A('use_stepwise_completeness')
 
         # init the base class
         KeggContext.__init__(self, self.args)
@@ -5501,7 +7876,7 @@ def get_enrichment_input(self, output_file_path):
         The input format for anvi-script-enrichment-stats is described in a comment at the top of that script, and here is
         how we get the values for each column:
         The first column, 'KEGG_MODULE', and second column 'accession', are already in the modules mode output as 'module_name'
-        and 'kegg_module', respectively.
+        and 'module', respectively.
         The 'N_*' columns are the total number of samples in each group.
         For each module, this function determines which samples the module is 'present' in according to the specified completion threshold.
         This determines the list of samples for the 'sample_ids' column as well as the 'p_*' proportions for each group of samples.
@@ -5518,8 +7893,14 @@ def get_enrichment_input(self, output_file_path):
         # read the files into dataframes
         modules_df = pd.read_csv(self.modules_txt, sep='\t')
 
+        completeness_header = 'pathwise_module_completeness'
+        if self.use_stepwise_completeness:
+            completeness_header = 'stepwise_module_completeness'
+        self.progress.reset()
+        self.run.info("Completeness score being used for determining sample presence", completeness_header)
+
         # make sure we have all the columns we need in modules mode output, since this output can be customized
-        required_modules_txt_headers = ['kegg_module', 'module_completeness', 'module_name']
+        required_modules_txt_headers = ['module', 'module_name', completeness_header]
         missing_headers = []
         for h in required_modules_txt_headers:
             if h not in modules_df.columns:
@@ -5631,16 +8012,16 @@ def get_enrichment_input(self, output_file_path):
         # convert modules mode output to enrichment input
         N_values = sample_groups_df['group'].value_counts()
         group_list = N_values.keys()
-        module_list = modules_df['kegg_module'].unique()
+        module_list = modules_df['module'].unique()
 
         output_dict = {}
-        header_list = ['KEGG_MODULE', 'accession', 'sample_ids', 'associated_groups']
+        header_list = ['MODULE', 'accession', 'sample_ids', 'associated_groups']
         for c in group_list:
             header_list.append(f"p_{c}")
             header_list.append(f"N_{c}")
 
         for mod_num in module_list:
-            query_string = f"kegg_module == '{mod_num}' and module_completeness >= {self.module_completion_threshold}"
+            query_string = f"module == '{mod_num}' and {completeness_header} >= {self.module_completion_threshold}"
             samples_with_mod_df = modules_df.query(query_string)
             if samples_with_mod_df.shape[0] == 0:
                 continue
@@ -5660,7 +8041,7 @@ def get_enrichment_input(self, output_file_path):
 
             mod_name = samples_with_mod_df['module_name'][0]
             output_dict[mod_name] = {}
-            output_dict[mod_name]['KEGG_MODULE'] = mod_name
+            output_dict[mod_name]['MODULE'] = mod_name
             output_dict[mod_name]['accession'] = mod_num
             output_dict[mod_name]['sample_ids'] = ','.join(samples_with_mod_list)
             sample_group_subset = sample_groups_df.loc[samples_with_mod_list]
@@ -5711,3 +8092,14 @@ def run_enrichment_stats(self):
                                                                  progress=self.progress)
 
         return enrichment_stats
+
+
+## STATIC FUNCTIONS
+def module_definition_to_enzyme_accessions(mod_definition):
+    """Parses a module definition string into a list of enzyme accessions."""
+
+    # anything that is not (),-+ should be converted to spaces, then we can split on the spaces to get the accessions
+    mod_definition = re.sub('[\(\)\+\-,]', ' ', mod_definition).strip()
+    acc_list = re.split(r'\s+', mod_definition)
+
+    return acc_list
diff --git a/anvio/migrations/config/v1_to_v2.py b/anvio/migrations/config/v1_to_v2.py
index 15915a6751..4de0b22fe7 100644
--- a/anvio/migrations/config/v1_to_v2.py
+++ b/anvio/migrations/config/v1_to_v2.py
@@ -21,6 +21,7 @@ def migrate(config_path):
     if config_path is None:
         raise ConfigError("No config path is given.")
 
+    anvio.QUIET = True
     workflow_name, version = w.get_workflow_name_and_version_from_config(config_path, dont_raise=True)
 
     if not workflow_name:
@@ -50,6 +51,9 @@ def migrate(config_path):
     open(config_path, 'w').write(json.dumps(config, indent=4))
 
     progress.end()
+
+    anvio.QUIET = False
+
     run.info_single("The config file version is now %s. This upgrade removed --external-gene-calls from "
                     "the rule anvi_gen_contigs_database, if it existed at all. This was a redundant parameter, "
                     "since external gene calls are supplied to anvi-run-workflow as an external_gene_calls "
diff --git a/anvio/migrations/config/v2_to_v3.py b/anvio/migrations/config/v2_to_v3.py
new file mode 100644
index 0000000000..e3c09eeb29
--- /dev/null
+++ b/anvio/migrations/config/v2_to_v3.py
@@ -0,0 +1,72 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+
+import sys
+import json
+import argparse
+
+import anvio
+import anvio.workflows as w
+import anvio.terminal as terminal
+import anvio.filesnpaths as filesnpaths
+
+from anvio.errors import ConfigError
+
+current_version, next_version = [x[1:] for x in __name__.split('_to_')]
+
+run = terminal.Run()
+progress = terminal.Progress()
+
+def migrate(config_path):
+    if config_path is None:
+        raise ConfigError("No config path is given :/")
+
+    # do we have write access?
+    filesnpaths.is_output_file_writable(config_path)
+
+    # learn the workflow name and the version
+    workflow_name, version = w.get_workflow_name_and_version_from_config(config_path, dont_raise=True)
+
+    # is this the right version?
+    if version != current_version:
+        raise ConfigError("fThis config file is not v{current_version} (hence, this script cannot really do anything).")
+
+    progress.new("Migrating the config file")
+    progress.update("...")
+
+    # You must skip version check, otherwise anvi'o complains that the config is out of date. DUH,
+    # that's why we are migrating.
+    anvio.QUIET = True
+    args = argparse.Namespace(workflow=workflow_name, config_file=config_path, skip_version_check=True)
+    workflow_object = w.get_workflow_module_dict()[workflow_name](args)
+    config = workflow_object.config
+    anvio.QUIET = False
+
+    if 'anvi_run_ncbi_cogs' in config:
+        if '--sensitive' in config['anvi_run_ncbi_cogs']:
+            del config['anvi_run_ncbi_cogs']['--sensitive']
+
+    # set it to the new version
+    config['config_version'] = next_version
+
+    with open(config_path, 'w') as output:
+        output.write(json.dumps(config, indent=4))
+
+    progress.end()
+    run.info_single(f"The config file version is now {next_version}. This upgrade removed the flag `--sensitive` from "
+                    f"the rule `anvi_run_ncbi_cogs` to reflect the recent changes in the codebase.",
+                    nl_after=1, nl_before=1, mc='green')
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description=f"The migration script to migrate an anvi'o workflow config from "
+            f"v{current_version} to v{next_version}")
+    parser.add_argument('config', metavar = 'CONFIG', help = 'A v{current_version} config JSON.')
+    parser.add_argument(*anvio.A("workflow"), **anvio.K("workflow"))
+    args, unknown = parser.parse_known_args()
+
+    try:
+        migrate(args.config)
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
diff --git a/anvio/migrations/genes/v5_to_v6.py b/anvio/migrations/genes/v5_to_v6.py
index 4c92867ada..2c41051194 100644
--- a/anvio/migrations/genes/v5_to_v6.py
+++ b/anvio/migrations/genes/v5_to_v6.py
@@ -44,6 +44,14 @@ def drop_entry_id_column_from_table(db_path, table_name, table_properties):
 
     _db = db.DB(db_path, None, ignore_version = True)
 
+    # if table doesn't exist (due to some historical glitch), generate it, and return
+    if table_name not in _db.get_table_names():
+        _db._exec('''CREATE TABLE %s (%s)''' % (table_name, db_fields))
+        _db.disconnect()
+        progress.end()
+
+        return
+
     progress.update("Creating a temporary table")
     _db._exec('''CREATE TABLE %s (%s)''' % (temp_table_name, db_fields))
 
diff --git a/anvio/migrations/modules/v3_to_v4.py b/anvio/migrations/modules/v3_to_v4.py
new file mode 100644
index 0000000000..9dd3fb42f7
--- /dev/null
+++ b/anvio/migrations/modules/v3_to_v4.py
@@ -0,0 +1,82 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+
+import sys
+import argparse
+
+import anvio.db as db
+import anvio.utils as utils
+import anvio.terminal as terminal
+
+from anvio.errors import ConfigError
+
+
+current_version, next_version = [x[1:] for x in __name__.split('_to_')]
+
+brite_table_name      = "brite_hierarchies"
+brite_table_structure = ['hierarchy_accession', 'hierarchy_name', 'ortholog_accession', 'ortholog_name', 'categorization']
+brite_table_types     = [        'str'        ,       'str'     ,         'str'       ,      'str'     ,      'str'      ]
+
+run = terminal.Run()
+progress = terminal.Progress()
+
+def migrate(db_path):
+    if db_path is None:
+        raise ConfigError("No database path is given.")
+
+    utils.is_kegg_modules_db(db_path)
+
+    modules_db = db.DB(db_path, None, ignore_version = True)
+
+    if str(modules_db.get_version()) != current_version:
+        modules_db.disconnect()
+        raise ConfigError(f"Version of this modules database is not {current_version} (hence, this script cannot really do anything).")
+
+    progress.new("Migrating")
+    progress.update("...")
+
+    # just to be on the safe side.
+    try:
+        modules_db.drop_table(brite_table_name)
+    except:
+        pass
+
+    try:
+        modules_db.remove_meta_key_value_pair('num_brite_hierarchies')
+        modules_db.remove_meta_key_value_pair('total_brite_entries')
+        modules_db.remove_meta_key_value_pair('is_brite_setup')
+    except:
+        pass
+
+    modules_db.set_meta_value('num_brite_hierarchies', None)
+    modules_db.set_meta_value('total_brite_hierarchies', None)
+    modules_db.set_meta_value('is_brite_setup', 0)
+
+    progress.update("Creating a new table for KEGG BRITE categorizations")
+
+    modules_db.create_table(brite_table_name, brite_table_structure, brite_table_types)
+
+    progress.update("Updating version")
+    modules_db.remove_meta_key_value_pair('version')
+    modules_db.set_version(next_version)
+
+    modules_db.disconnect()
+    progress.end()
+
+    run.info_single(f"The modules database is now {next_version}. An empty table of KEGG BRITE hierarchy "
+                    "categorizations of all orthologs was created, and related self table attributes were added. "
+                    "We suggest generating a new modules database from `anvi-setup-kegg-kofams` and re-running "
+                    "`anvi-run-kegg-kofams` on your contigs databases to benefit from these useful annotations :)",
+                    nl_after=1, nl_before=1, mc='green')
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description='A simple script to upgrade KEGG modules database from version %s to version %s' % (current_version, next_version))
+    parser.add_argument('modules_db', metavar = 'MODULES_DB', help = 'Modules database at version %s' % current_version)
+    args, unknown = parser.parse_known_args()
+
+    try:
+        migrate(args.modules_db)
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
diff --git a/anvio/migrations/pan/v15_to_v16.py b/anvio/migrations/pan/v15_to_v16.py
new file mode 100644
index 0000000000..e7492b705e
--- /dev/null
+++ b/anvio/migrations/pan/v15_to_v16.py
@@ -0,0 +1,60 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+
+import sys
+import argparse
+
+import anvio.db as db
+import anvio.terminal as terminal
+
+from anvio.errors import ConfigError
+
+run = terminal.Run()
+progress = terminal.Progress()
+
+current_version, next_version = [x[1:] for x in __name__.split('_to_')]
+
+def migrate(db_path):
+    pan_db = db.DB(db_path, None, ignore_version = True, skip_rowid_prepend=True)
+
+    progress.new("Bleep bloop")
+    progress.update('...')
+
+    try:
+        is_sensitive = int(pan_db.get_meta_value('diamond_sensitive'))
+    except:
+        is_sensitive = 0
+
+    try:
+        pan_db.remove_meta_key_value_pair('diamond_sensitive')
+        pan_db.remove_meta_key_value_pair('additional_params_for_seq_search')
+    except:
+        pass
+
+    if is_sensitive:
+        pan_db.set_meta_value('additional_params_for_seq_search', "--sensitive")
+    else:
+        pan_db.set_meta_value('additional_params_for_seq_search', "")
+
+    pan_db.remove_meta_key_value_pair('version')
+    pan_db.set_version(next_version)
+    pan_db.disconnect()
+
+    progress.end()
+
+    run.info_single(f"The pan database is now {next_version}. This upgrade sync'd the database design so there is "
+                    f"more room for activities. And by activities, we mean `--additional-params-for-seq-search`. "
+                    f"See the help menu for the program `anvi-pan-genome` for details :)",
+                    nl_after=1, nl_before=1, mc='green')
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description='A simple script to upgrade pan database from version %s to version %s' % (current_version, next_version))
+    parser.add_argument('pan_db', metavar = 'PAN_DB', help = "An anvi'o pan database of version %s" % current_version)
+    args, unknown = parser.parse_known_args()
+
+    try:
+        migrate(args.pan_db)
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
diff --git a/anvio/panops.py b/anvio/panops.py
index be555fe9b4..a2329e3d27 100644
--- a/anvio/panops.py
+++ b/anvio/panops.py
@@ -10,10 +10,17 @@
 import json
 import math
 import copy
-import multiprocessing
 import pandas as pd
 from itertools import chain
 
+# multiprocess is a fork of multiprocessing that uses the dill serializer instead of pickle
+# using the multiprocessing module directly results in a pickling error in Python 3.10 which
+# goes like this:
+#
+#   >>> AttributeError: Can't pickle local object 'SOMEFUNCTION.<locals>.<lambda>' multiprocessing
+#
+import multiprocess as multiprocessing
+
 import anvio
 import anvio.utils as utils
 import anvio.dbops as dbops
@@ -47,6 +54,8 @@
 pp = terminal.pretty_print
 aligners = Aligners()
 
+additional_param_sets_for_sequence_search = {'diamond'   : '--masking 0',
+                                             'ncbi_blast': ''}
 
 class Pangenome(object):
     def __init__(self, args=None, run=run, progress=progress):
@@ -72,7 +81,6 @@ def __init__(self, args=None, run=run, progress=progress):
         self.min_percent_identity = A('min_percent_identity')
         self.gene_cluster_min_occurrence = A('min_occurrence')
         self.mcl_inflation = A('mcl_inflation')
-        self.sensitive = A('sensitive')
         self.minbit = A('minbit')
         self.use_ncbi_blast = A('use_ncbi_blast')
         self.exclude_partial_gene_calls = A('exclude_partial_gene_calls')
@@ -80,6 +88,9 @@ def __init__(self, args=None, run=run, progress=progress):
         self.skip_hierarchical_clustering = A('skip_hierarchical_clustering')
         self.enforce_hierarchical_clustering = A('enforce_hierarchical_clustering')
 
+        self.additional_params_for_seq_search = A('additional_params_for_seq_search')
+        self.additional_params_for_seq_search_processed = False
+
         if not self.project_name:
             raise ConfigError("Please set a project name using --project-name or -n.")
 
@@ -130,7 +141,7 @@ def generate_pan_db(self):
                        'mcl_inflation': self.mcl_inflation,
                        'default_view': 'gene_cluster_presence_absence',
                        'use_ncbi_blast': self.use_ncbi_blast,
-                       'diamond_sensitive': self.sensitive,
+                       'additional_params_for_seq_search': self.additional_params_for_seq_search,
                        'minbit': self.minbit,
                        'exclude_partial_gene_calls': self.exclude_partial_gene_calls,
                        'gene_alignments_computed': False if self.skip_alignments else True,
@@ -227,20 +238,51 @@ def check_params(self):
         self.pan_db_path = self.get_output_file_path(self.project_name + '-PAN.db')
 
 
+    def process_additional_params(self):
+        """Process user-requested additional params for sequence search with defaults
+
+        This is a bit complicated as there are those additional parameter sets used by
+        anvi'o (which are defined in `additional_param_sets_for_sequence_search`), and
+        there are those that may or may not be passed by the user. To reconcile all,
+        we first need to determine which algorithm they are using (i.e., diamond or
+        ncbi-blast, which are the only two options we offer at the time this function
+        was written), and then see if tey passed any 'additional additional' params to
+        this instance.
+        """
+
+        if self.additional_params_for_seq_search is not None:
+            # the user set something (or unset everything by passing ""): we obey
+            pass
+        else:
+            if self.use_ncbi_blast:
+                self.additional_params_for_seq_search = additional_param_sets_for_sequence_search['ncbi_blast']
+            else:
+                self.additional_params_for_seq_search = additional_param_sets_for_sequence_search['diamond']
+
+        self.additional_params_for_seq_search_processed = True
+
+
     def run_diamond(self, unique_AA_sequences_fasta_path, unique_AA_sequences_names_dict):
+        # in case someone called this function directly without going through
+        # `self.process`:
+        self.process_additional_params()
+
         diamond = Diamond(unique_AA_sequences_fasta_path, run=self.run, progress=self.progress,
                           num_threads=self.num_threads, overwrite_output_destinations=self.overwrite_output_destinations)
 
         diamond.names_dict = unique_AA_sequences_names_dict
+        diamond.additional_params_for_blastp = self.additional_params_for_seq_search
         diamond.search_output_path = self.get_output_file_path('diamond-search-results')
         diamond.tabular_output_path = self.get_output_file_path('diamond-search-results.txt')
 
-        diamond.sensitive = self.sensitive
-
         return diamond.get_blast_results()
 
 
     def run_blast(self, unique_AA_sequences_fasta_path, unique_AA_sequences_names_dict):
+        # in case someone called this function directly without going through
+        # `self.process`:
+        self.process_additional_params()
+
         self.run.warning("You elected to use NCBI's `blastp` for amino acid sequence search. Running blastp will "
                          "be significantly slower than DIAMOND, but in some cases, slightly more sensitive. "
                          "We are unsure about whether the slight increase in sensitivity may justify significant "
@@ -250,6 +292,7 @@ def run_blast(self, unique_AA_sequences_fasta_path, unique_AA_sequences_names_di
                           num_threads=self.num_threads, overwrite_output_destinations=self.overwrite_output_destinations)
 
         blast.names_dict = unique_AA_sequences_names_dict
+        blast.additional_params_for_blast = self.additional_params_for_seq_search
         blast.log_file_path = self.log_file_path
         blast.search_output_path = self.get_output_file_path('blast-search-results.txt')
 
@@ -863,6 +906,9 @@ def alignment_worker(input_queue, output_queue, gene_clusters_dict, genomes_stor
 
 
     def process(self):
+        # start by processing the additional params user may have passed for the blast step
+        self.process_additional_params()
+
         # load genomes from genomes storage
         self.load_genomes()
 
diff --git a/anvio/pfam.py b/anvio/pfam.py
index 47a2f57687..785c855ba2 100644
--- a/anvio/pfam.py
+++ b/anvio/pfam.py
@@ -85,7 +85,11 @@ def __init__(self, args, run=run, progress=progress):
         if not args.reset and not anvio.DEBUG:
             self.is_database_exists()
 
-        filesnpaths.gen_output_directory(self.pfam_data_dir, delete_if_exists=args.reset)
+        if args.reset:
+            filesnpaths.gen_output_directory(self.pfam_data_dir, delete_if_exists=True, dont_warn=True)
+        else:
+            filesnpaths.gen_output_directory(self.pfam_data_dir)
+
 
         self.resolve_database_url()
         self.files = ['Pfam-A.hmm.gz', 'Pfam.version.gz', 'Pfam-A.clans.tsv.gz']
@@ -108,7 +112,15 @@ def is_database_exists(self):
 
 
     def get_remote_version(self):
-        content = read_remote_file(self.database_url + '/Pfam.version.gz')
+        input_file = os.path.join(self.pfam_data_dir, '/Pfam.version.gz')
+        if os.path.exists(input_file):
+            try:
+                with gzip.open(input_file,'rt') as f:
+                    content = f.read()
+            except gzip.BadGzipFile as err:
+                raise Exception ("BadGzipFile", input_file)
+        else:
+            content = read_remote_file(self.database_url + '/Pfam.version.gz')
 
         # below we are parsing this, not so elegant.
         # Pfam release       : 31.0
@@ -121,13 +133,16 @@ def get_remote_version(self):
 
         self.run.info("Found Pfam version", "%s (%s)" % (version, release_date))
 
-
     def download(self, hmmpress_files=True):
         self.run.info("Database URL", self.database_url)
 
         for file_name in self.files:
-            utils.download_file(self.database_url + '/' + file_name,
-                os.path.join(self.pfam_data_dir, file_name), progress=self.progress, run=self.run)
+            local_file = os.path.join(self.pfam_data_dir, file_name)
+            if not os.path.exists(local_file):
+                utils.download_file(self.database_url + '/' + file_name,
+                    os.path.join(self.pfam_data_dir, file_name), progress=self.progress, run=self.run)
+            else:
+                self.run.info("found local file", file_name)
 
         self.confirm_downloaded_files()
         self.decompress_files()
@@ -136,14 +151,21 @@ def download(self, hmmpress_files=True):
 
 
     def confirm_downloaded_files(self):
-        try:
-            checksums_file = read_remote_file(self.database_url + '/md5_checksums', is_gzip=False).strip()
-            checksums = {}
-        except:
-            self.run.warning("Checksum file '%s' is not available in FTP, Anvi'o won't be able to verify downloaded files." % (self.database_url + '/md5_checksums'))
-            return
+        chksums_file = os.path.join(self.pfam_data_dir, 'md5_checksums')
+        if os.path.exists(chksums_file): 
+            self.run.info("found local file", 'md5_checksums')
+            with open(chksums_file,'r') as fh:
+                checksums_file = fh.read() 
+        else:
+            try:
+                checksums_file = read_remote_file(self.database_url + '/md5_checksums', is_gzip=False).strip()
+            except:
+                self.run.warning("Checksum file '%s' is not available in FTP, Anvi'o won't be able to verify downloaded files." % (self.database_url + '/md5_checksums'))
+                return
 
+        checksums = {}
         for line in checksums_file.split('\n'):
+            if not line: continue
             checksum, file_name = [item.strip() for item in line.strip().split()]
             checksums[file_name] = checksum
 
diff --git a/anvio/profiler.py b/anvio/profiler.py
index 9aa3fade85..e815e9fc6d 100644
--- a/anvio/profiler.py
+++ b/anvio/profiler.py
@@ -5,10 +5,18 @@
 import gc
 import os
 import sys
+import copy
 import shutil
 import argparse
 import numpy as np
-import multiprocessing
+
+# multiprocess is a fork of multiprocessing that uses the dill serializer instead of pickle
+# using the multiprocessing module directly results in a pickling error in Python 3.10 which
+# goes like this:
+#
+#   >>> AttributeError: Can't pickle local object 'SOMEFUNCTION.<locals>.<lambda>' multiprocessing
+#
+import multiprocess as multiprocessing
 
 from collections import OrderedDict
 
@@ -89,10 +97,14 @@ def sanity_check(self):
         filesnpaths.is_output_file_writable(self.output_file_path, ok_if_exists=False)
 
         # find all the bad BAM files
+        self.progress.new("Sanity checking BAM files")
+        self.progress.update('...')
         bad_bam_files = [f for f in self.bam_file_paths if not filesnpaths.is_file_bam_file(f, dont_raise=True)]
         if len(bad_bam_files):
+            self.progress.reset()
             raise ConfigError(f"Not all of your BAM files look like BAM files. Here is the list that "
                               f"samtools didn't like: {', '.join(bad_bam_files)}")
+        self.progress.end()
 
         if self.gene_level_stats:
             contigs_db = dbops.ContigsDatabase(self.contigs_db_path)
@@ -196,7 +208,6 @@ def report_stats(self):
                 bam = bamops.BAMFileObject(bam_file_path, 'rb')
                 bam_file_name = os.path.splitext(os.path.basename(bam_file_path))[0]
 
-                contigs_stats = {}
                 for j in range(0, num_contigs):
                     contig_name = contig_names[j]
 
@@ -285,7 +296,7 @@ def report_stats(self):
 class BAMProfiler(dbops.ContigsSuperclass):
     """Creates an über class for BAM file operations"""
 
-    def __init__(self, args, r=terminal.Run(width=35), p=terminal.Progress()):
+    def __init__(self, args, r=terminal.Run(width=50), p=terminal.Progress()):
         self.args = args
         self.progress = p
         self.run = r
@@ -309,6 +320,7 @@ def __init__(self, args, r=terminal.Run(width=35), p=terminal.Progress()):
         self.skip_INDEL_profiling = A('skip_INDEL_profiling')
         self.profile_SCVs = A('profile_SCVs')
         self.min_percent_identity = A('min_percent_identity')
+        self.fetch_filter = A('fetch_filter')
         self.gen_serialized_profile = A('gen_serialized_profile')
         self.distance = A('distance') or constants.distance_metric_default
         self.linkage = A('linkage') or constants.linkage_method_default
@@ -321,6 +333,21 @@ def __init__(self, args, r=terminal.Run(width=35), p=terminal.Progress()):
         self.total_reads_kept = 0
         self.description_file_path = A('description')
 
+        if self.fetch_filter:
+            valid_fetch_filters = [k for k in constants.fetch_filters.keys() if k]
+
+            if self.fetch_filter not in valid_fetch_filters:
+                raise ConfigError(f"Your fetch filter '{self.fetch_filter}' is not among those anvi'o knows about :/ If you "
+                                  f"would like to try again with a different one, here is a list for your consideration: "
+                                  f"{', '.join(valid_fetch_filters)}.")
+
+        # these are the views this class will be filling in:
+        self.essential_data_fields_for_anvio_profiles = copy.deepcopy(constants.essential_data_fields_for_anvio_profiles)
+
+        # but the views should not include the view `variability` if SNVs are not going to be profiled:
+        if 'variability' in self.essential_data_fields_for_anvio_profiles and self.skip_SNV_profiling:
+            self.essential_data_fields_for_anvio_profiles.pop(self.essential_data_fields_for_anvio_profiles.index('variability'))
+
         # make sure early on that both the distance and linkage is OK.
         clustering.is_distance_and_linkage_compatible(self.distance, self.linkage)
 
@@ -358,11 +385,28 @@ def __init__(self, args, r=terminal.Run(width=35), p=terminal.Progress()):
         if not self.contigs_db_path:
             raise ConfigError("No contigs database, no profilin'. Bye.")
 
+        # store our run object. 'why?', you may ask. well, keep reading.
+        my_run = self.run
+
         # Initialize contigs db
-        dbops.ContigsSuperclass.__init__(self, self.args, r=self.run, p=self.progress)
+        dbops.ContigsSuperclass.__init__(self, self.args, r=null_run, p=self.progress)
         self.init_contig_sequences(contig_names_of_interest=self.contig_names_of_interest)
         self.contig_names_in_contigs_db = set(self.contigs_basic_info.keys())
 
+        # restore our run object. OK. take deep breath. because you are a good programmer, you have
+        # this voice in your head tellin gyou that the tinkering with self.run here feels kind of out
+        # of place. that voice is right, but the voice doesn't know the struggles of poor souls that
+        # had to resort to a solution like this. You see, we don't want to see any run messages from
+        # ContigsSuper in profiler output. But when we pass a `run=null_run` to the the class, due to
+        # inheritance, it also modifies our own `self.run` with the null one, making the profilesuper
+        # go all quiet. so here we basically need to re-engage our `self.run`. But then if the user
+        # actually ASKED for ProfileSuper to be quiet, then we can't simply just inherit another Run
+        # object and move on with our lives in a single line right here. We in fact need to store our
+        # previous run object and then re-engage that one instead of a brand new one. There you have
+        # it (yes. funny detail, no one cares, but I do because I have no friends -- IF YOU ARE
+        # READING THESE LINES YOU ARE AUTOMATICALLY MY FRIEND, so SORRY):
+        self.run = my_run
+
         self.bam = None
         self.contigs = []
 
@@ -398,8 +442,15 @@ def init_dirs_and_dbs(self):
             filesnpaths.is_file_plain_text(self.description_file_path)
             self.description = open(os.path.abspath(self.description_file_path), 'rU').read()
 
-        self.output_directory = filesnpaths.check_output_directory(self.output_directory or self.input_file_path + '-ANVIO_PROFILE',\
-                                                                   ok_if_exists=self.overwrite_output_destinations)
+        if self.output_directory:
+            self.output_directory = filesnpaths.check_output_directory(self.output_directory, ok_if_exists=self.overwrite_output_destinations)
+        else:
+            output_dir_path = os.path.dirname(os.path.abspath(self.input_file_path))
+
+            if self.sample_id:
+                self.output_directory = filesnpaths.check_output_directory(os.path.join(output_dir_path, self.sample_id), ok_if_exists=self.overwrite_output_destinations)
+            else:
+                raise ConfigError("There is no `self.sample_id`, there is no `self.output_directory` :/ Anvi'o needs an adult :(")
 
         self.progress.new('Initializing')
 
@@ -410,6 +461,11 @@ def init_dirs_and_dbs(self):
         self.profile_db_path = self.generate_output_destination('PROFILE.db')
         profile_db = dbops.ProfileDatabase(self.profile_db_path)
 
+        if self.blank:
+            # if we are about to generate a blank profile, there is no
+            # SNV profiling
+            self.skip_SNV_profiling = True
+
         if self.skip_SNV_profiling:
             self.profile_SCVs = False
             self.skip_INDEL_profiling = True
@@ -428,6 +484,7 @@ def init_dirs_and_dbs(self):
                        'SCVs_profiled': self.profile_SCVs,
                        'INDELs_profiled': not self.skip_INDEL_profiling,
                        'min_percent_identity': self.min_percent_identity or 0,
+                       'fetch_filter': self.fetch_filter,
                        'min_coverage_for_variability': self.min_coverage_for_variability,
                        'report_variability_full': self.report_variability_full,
                        'contigs_db_hash': self.a_meta['contigs_db_hash'],
@@ -444,19 +501,13 @@ def init_dirs_and_dbs(self):
 
         self.progress.end()
 
-        if self.skip_SNV_profiling:
-            self.run.warning('Single-nucleotide variation will not be characterized for this profile.')
-        else:
+        if not self.skip_SNV_profiling:
             self.variable_nts_table = TableForVariability(self.profile_db_path, progress=null_progress)
 
-        if not self.profile_SCVs:
-            self.run.warning('Amino acid linkmer frequencies will not be characterized for this profile.')
-        else:
+        if self.profile_SCVs:
             self.variable_codons_table = TableForCodonFrequencies(self.profile_db_path, progress=null_progress)
 
-        if self.skip_INDEL_profiling:
-            self.run.warning('Indels (read insertion and deletions) will not be characterized for this profile.')
-        else:
+        if not self.skip_INDEL_profiling:
             self.indels_table = TableForIndels(self.profile_db_path, progress=null_progress)
 
 
@@ -468,27 +519,28 @@ def _run(self):
         self.init_dirs_and_dbs()
 
         self.run.log_file_path = self.generate_output_destination('RUNLOG.txt')
-        self.run.info('anvio', anvio.__version__)
-        self.run.info('profiler_version', anvio.__profile__version__)
-        self.run.info('sample_id', self.sample_id)
-        self.run.info('description', 'Found (%d characters)' % len(self.description) if self.description else None)
-        self.run.info('profile_db', self.profile_db_path, display_only=True)
-        self.run.info('contigs_db', True if self.contigs_db_path else False)
-        self.run.info('contigs_db_hash', self.a_meta['contigs_db_hash'])
-        self.run.info('cmd_line', utils.get_cmd_line(), align_long_values=False)
-        self.run.info('merged', False)
-        self.run.info('blank', self.blank)
-        self.run.info('split_length', self.a_meta['split_length'])
-        self.run.info('min_contig_length', self.min_contig_length)
-        self.run.info('max_contig_length', self.max_contig_length)
-        self.run.info('min_mean_coverage', self.min_mean_coverage)
-        self.run.info('clustering_performed', self.contigs_shall_be_clustered)
-        self.run.info('min_coverage_for_variability', self.min_coverage_for_variability)
-        self.run.info('skip_SNV_profiling', self.skip_SNV_profiling)
-        self.run.info('skip_INDEL_profiling', self.skip_INDEL_profiling)
-        self.run.info('profile_SCVs', self.profile_SCVs)
-        self.run.info('min_percent_identity', self.min_percent_identity)
-        self.run.info('report_variability_full', self.report_variability_full)
+        self.run.info('Sample name set', self.sample_id)
+        self.run.info('Description', 'Found (%d characters)' % len(self.description) if self.description else None)
+        self.run.info('Profile DB path', self.profile_db_path, display_only=True)
+        self.run.info('Contigs DB path', self.contigs_db_path)
+        self.run.info('Contigs DB hash', self.a_meta['contigs_db_hash'])
+        self.run.info('Command line', utils.get_cmd_line(), align_long_values=False, nl_after=1)
+
+        self.run.info('Minimum percent identity of reads to be profiled', self.min_percent_identity, mc='green')
+        self.run.info('Fetch filter engaged', self.fetch_filter, mc='green', nl_after=1)
+
+        self.run.info('Is merged profile?', False)
+        self.run.info('Is blank profile?', self.blank)
+        self.run.info('Skip contigs shorter than', self.min_contig_length)
+        self.run.info('Skip contigs longer than', self.max_contig_length)
+        self.run.info('Skip contigs covered less than', self.min_mean_coverage)
+        self.run.info('Perform hierarchical clustering of contigs?', self.contigs_shall_be_clustered, nl_after=1)
+
+        self.run.info('Profile single-nucleotide variants (SNVs)?', not self.skip_SNV_profiling)
+        self.run.info('Profile single-codon variants (SCVs/+SAAVs)?', self.profile_SCVs)
+        self.run.info('Profile insertion/deletions (INDELs)?', not self.skip_INDEL_profiling)
+        self.run.info('Minimum coverage to calculate SNVs', self.min_coverage_for_variability)
+        self.run.info('Report FULL variability data?', self.report_variability_full)
 
         self.run.warning("Your minimum contig length is set to %s base pairs. So anvi'o will not take into "
                          "consideration anything below that. If you need to kill this an restart your "
@@ -505,7 +557,7 @@ def _run(self):
             self.init_mock_profile()
 
             # creating a null view_data_splits dict:
-            for view in constants.essential_data_fields_for_anvio_profiles:
+            for view in self.essential_data_fields_for_anvio_profiles:
                 for table_name in [f"{view}_{target}" for target in ['splits', 'contigs']]:
                     TablesForViews(self.profile_db_path).remove(view, table_names_to_blank=[table_name])
                     TablesForViews(self.profile_db_path,
@@ -525,8 +577,13 @@ def _run(self):
 
         # update layer additional data table content
         if self.layer_additional_data:
-            layer_additional_data_table = TableForLayerAdditionalData(argparse.Namespace(profile_db=self.profile_db_path), r=self.run, p=self.progress)
+            self.progress.new("Additional layer data")
+            self.progress.update("Updating the profile db ...")
+            layer_additional_data_table = TableForLayerAdditionalData(argparse.Namespace(profile_db=self.profile_db_path), r=null_run, p=null_progress)
             layer_additional_data_table.add({self.sample_id: self.layer_additional_data}, self.layer_additional_keys)
+            self.progress.end()
+
+            self.run.info("Additional data added to the new profile DB", f"{', '.join(self.layer_additional_keys)}", nl_before=1)
 
         if self.contigs_shall_be_clustered:
             self.cluster_contigs()
@@ -546,7 +603,6 @@ def generate_variable_codons_table(self):
         for contig in self.contigs:
             for split in contig.splits:
                 for gene_callers_id in split.SCV_profiles:
-
                     # We reorder to the profiles in the order they will appear in the output table
                     split.SCV_profiles[gene_callers_id] = OrderedDict(
                         [(col, split.SCV_profiles[gene_callers_id][col]) for col in t.variable_codons_table_structure]
@@ -606,11 +662,15 @@ def set_sample_id(self):
         else:
             if self.input_file_path:
                 self.input_file_path = os.path.abspath(self.input_file_path)
-                self.sample_id = os.path.basename(self.input_file_path).upper().split('.BAM')[0]
-                self.sample_id = self.sample_id.replace('-', '_')
-                self.sample_id = self.sample_id.replace('.', '_')
+                self.sample_id = os.path.splitext(os.path.basename(self.input_file_path))[0]
+                self.sample_id = self.sample_id.replace('-', '_').replace('.', '_').replace(' ', '_')
+
                 if self.sample_id[0] in constants.digits:
                     self.sample_id = 's' + self.sample_id
+
+                if self.fetch_filter:
+                    self.sample_id = f"{self.sample_id}_{self.fetch_filter.upper().replace('-', '_').replace('.', '_').replace(' ', '_')}"
+
                 utils.check_sample_id(self.sample_id)
             if self.serialized_profile_path:
                 self.serialized_profile_path = os.path.abspath(self.serialized_profile_path)
@@ -644,6 +704,7 @@ def list_contigs(self):
         self.progress.new('Init')
         self.progress.update('Reading BAM File')
         self.bam = bamops.BAMFileObject(self.input_file_path, 'rb')
+        self.bam.fetch_filter = self.fetch_filter
         self.progress.end()
 
         self.contig_names = self.bam.references
@@ -705,7 +766,14 @@ def init_profile_from_BAM(self):
 
         self.progress.new('Init')
         self.progress.update('Reading BAM File')
-        self.bam = bamops.BAMFileObject(self.input_file_path)
+
+        try:
+            self.bam = bamops.BAMFileObject(self.input_file_path)
+        except Exception as e:
+            raise ConfigError(f"Sorry, this BAM file does not look like a BAM file :( Here is "
+                              f"the complaint coming from the depths of the codebase: '{e}'.")
+
+        self.bam.fetch_filter = self.fetch_filter
         self.num_reads_mapped = self.bam.mapped
         self.progress.end()
 
@@ -727,16 +795,17 @@ def init_profile_from_BAM(self):
 
         utils.check_contig_names(self.contig_names)
 
-        self.run.info('input_bam', self.input_file_path)
-        self.run.info('output_dir', self.output_directory, display_only=True)
-        self.run.info('num_reads_in_bam', pp(int(self.num_reads_mapped)))
-        self.run.info('num_contigs', pp(len(self.contig_names)))
+        self.run.info('Input BAM', self.input_file_path)
+        self.run.info('Output directory path', self.output_directory, display_only=True, nl_after=1)
+
+        self.run.info('Number of reads in the BAM file', pp(int(self.num_reads_mapped)))
+        self.run.info('Number of sequences in the contigs DB', pp(len(self.contig_names)))
 
         if self.contig_names_of_interest:
             indexes = [self.contig_names.index(r) for r in self.contig_names_of_interest if r in self.contig_names]
             self.contig_names = [self.contig_names[i] for i in indexes]
             self.contig_lengths = [self.contig_lengths[i] for i in indexes]
-            self.run.info('num_contigs_selected_for_analysis', pp(len(self.contig_names)))
+            self.run.info('Number of contigs selected for analysis', pp(len(self.contig_names)), mc='green')
 
         # it brings good karma to let the user know what the hell is wrong with their data:
         self.check_contigs_without_any_gene_calls(self.contig_names)
@@ -756,10 +825,9 @@ def init_profile_from_BAM(self):
                                    "prior to mapping, which is described here: %s"\
                                         % (contig_name, self.contig_names_in_contigs_db.pop(), 'http://goo.gl/Q9ChpS'))
 
-        self.run.info('num_contigs_after_M', self.num_contigs, display_only=True)
-        self.run.info('num_contigs', self.num_contigs, quiet=True)
-        self.run.info('num_splits', self.num_splits)
-        self.run.info('total_length', self.total_length)
+        self.run.info('Number of contigs to be conisdered (after -M)', self.num_contigs, display_only=True)
+        self.run.info('Number of splits', self.num_splits)
+        self.run.info('Number of nucleotides', self.total_length)
 
         profile_db = dbops.ProfileDatabase(self.profile_db_path, quiet=True)
         profile_db.db.set_meta_value('num_splits', self.num_splits)
@@ -864,6 +932,7 @@ def populate_gene_info_for_splits(self, contig):
     @staticmethod
     def profile_contig_worker(self, available_index_queue, output_queue):
         bam_file = bamops.BAMFileObject(self.input_file_path)
+        bam_file.fetch_filter = self.fetch_filter
 
         while True:
             try:
@@ -967,6 +1036,7 @@ def profile_single_thread(self):
         """The main method for anvi-profile when num_threads is 1"""
 
         bam_file = bamops.BAMFileObject(self.input_file_path)
+        bam_file.fetch_filter = self.fetch_filter
 
         received_contigs = 0
         discarded_contigs = 0
@@ -1004,8 +1074,7 @@ def profile_single_thread(self):
             # objects to try to relieve the memory by encouraging the garbage collector to
             # realize what's up. Afterwards, we explicitly call the garbage collector
             if self.write_buffer_size > 0 and len(self.contigs) % self.write_buffer_size == 0:
-                self.progress.update('%d/%d contigs ⚙  | WRITING TO DB 💾 ...' % \
-                    (received_contigs, self.num_contigs))
+                self.progress.update(f"{received_contigs}/{self.num_contigs} contigs ⚙ | WRITING TO DB 💾 ...")
                 self.store_contigs_buffer()
                 for c in self.contigs:
                     for split in c.splits:
@@ -1018,7 +1087,7 @@ def profile_single_thread(self):
                 del self.contigs[:]
                 gc.collect()
 
-        self.progress.update('%d/%d contigs ⚙  | WRITING TO DB 💾 ...' % (received_contigs, self.num_contigs))
+        self.progress.update(f"{received_contigs}/{self.num_contigs} contigs ⚙ | WRITING TO DB 💾 ...")
         self.store_contigs_buffer()
         self.auxiliary_db.close()
 
@@ -1026,7 +1095,7 @@ def profile_single_thread(self):
 
         # FIXME: this needs to be checked:
         if discarded_contigs > 0:
-            self.run.info('contigs_after_C', pp(received_contigs - discarded_contigs))
+            self.run.info('Num contigs after coverage removal (-C)', pp(received_contigs - discarded_contigs))
 
         overall_mean_coverage = 1
         if self.total_length_of_all_contigs != 0:
@@ -1057,12 +1126,28 @@ def profile_single_thread(self):
             # Num reads in profile do not equal num reads in bam
             diff = self.num_reads_mapped - self.total_reads_kept
             perc = (1 - self.total_reads_kept / self.num_reads_mapped) * 100
-            self.run.warning("There were %d reads present in the BAM file that did not end up being used "
-                             "by anvi'o. That corresponds to about %.2f percent of all reads in the bam file. "
-                             "This could be either because you supplied --contigs-of-interest, "
-                             "or because pysam encountered reads it could not deal with, e.g. they mapped "
-                             "but had no defined sequence, or they had a sequence but did not map. "
-                             "Regardless, anvi'o thought you should be aware of this." % (diff, perc))
+
+            if self.contig_names_of_interest:
+                self.run.warning(f"There were {pp(diff)} reads present in the BAM file that did not end up being used "
+                                 f"by the profiler, which corresponds to about {perc}% of all reads. This is "
+                                 f"most likely due to the parameter `--contigs-of-interest`. Regardless, anvi'o "
+                                 f"thought you should know about this.")
+            elif self.fetch_filter:
+                self.run.warning(f"There were {pp(diff)} reads present in the BAM file that did not end up being used "
+                                 f"by the profiler, which corresponds to about {perc}% of all reads. This is "
+                                 f"most likely due to your `--fetch-filter`, which, depending on the filter, can "
+                                 f"make use of a very tiny fraction of all reads. If you think this is much more or "
+                                 f"much less than what you would have expected, you may want to investigate it.")
+            else:
+                self.run.warning(f"There were {pp(diff)} reads present in the BAM file that did not end up being used "
+                                 f"by the profiler, which corresponds to about {perc}% of all reads. Since you "
+                                 f"don't seem to have used parameters such as `--contigs-of-interest` or `--fetch-filter` "
+                                 f"anvi'o is Jon Snow here. There are other reasons why some of your reads may end up "
+                                 f"not being considered by the profiler. For instance, if pysam encounteres reads that "
+                                 f"it can't deal with (i.e., mapped reads in the BAM file with no defined sequences, or "
+                                 f"read with defined sequences without mapping). Another reason can be that you have used "
+                                 f"a new paramter in the profiler that removes contigs or reads from consideration. "
+                                 f"Regardless, if you think this is worth your attention, now you know.")
 
         self.layer_additional_data['total_reads_kept'] = self.total_reads_kept
         self.layer_additional_keys.append('total_reads_kept')
@@ -1120,9 +1205,7 @@ def profile_multi_thread(self):
                     mem_diff = mem_tracker.get_last_diff()
 
                 self.progress.increment(received_contigs)
-                msg = '%d/%d contigs ⚙  | MEMORY 🧠  %s (%s)' % (received_contigs, self.num_contigs, mem_usage, mem_diff)
-                self.progress.update(msg)
-
+                self.progress.update(f"{received_contigs}/{self.num_contigs} contigs ⚙ | MEMORY 🧠  {mem_usage} ({mem_diff}) ...")
 
                 # Here you're about to witness the poor side of Python (or our use of it). Although
                 # we couldn't find any refs to these objects, garbage collecter kept them in the
@@ -1130,8 +1213,7 @@ def profile_multi_thread(self):
                 # objects to try to relieve the memory by encouraging the garbage collector to
                 # realize what's up. Afterwards, we explicitly call the garbage collector
                 if self.write_buffer_size > 0 and len(self.contigs) % self.write_buffer_size == 0:
-                    self.progress.update('%d/%d contigs ⚙  | WRITING TO DB 💾 ...' % \
-                        (received_contigs, self.num_contigs))
+                    self.progress.update(f"{received_contigs}/{self.num_contigs} contigs ⚙ | WRITING TO DB 💾 ...")
                     self.store_contigs_buffer()
                     for c in self.contigs:
                         for split in c.splits:
@@ -1158,7 +1240,7 @@ def profile_multi_thread(self):
         for proc in processes:
             proc.terminate()
 
-        self.progress.update('%d/%d contigs ⚙  | WRITING TO DB 💾 ...' % (received_contigs, self.num_contigs))
+        self.progress.update(f"{received_contigs}/{self.num_contigs} contigs ⚙ | WRITING TO DB 💾 ...")
         self.store_contigs_buffer()
         self.auxiliary_db.close()
 
@@ -1228,7 +1310,7 @@ def store_contigs_buffer(self):
         self.store_split_coverages()
 
         # the crux of the profiling
-        for atomic_data_field in constants.essential_data_fields_for_anvio_profiles:
+        for atomic_data_field in self.essential_data_fields_for_anvio_profiles:
             view_data_splits, view_data_contigs = contigops.get_atomic_data(self.sample_id, self.contigs, atomic_data_field)
 
             table_name = '_'.join([atomic_data_field, 'splits'])
diff --git a/anvio/sequence.py b/anvio/sequence.py
index 2687cfda2f..3091403803 100644
--- a/anvio/sequence.py
+++ b/anvio/sequence.py
@@ -7,7 +7,14 @@
 import functools
 import itertools
 import numpy as np
-import multiprocessing as mp
+
+# multiprocess is a fork of multiprocessing that uses the dill serializer instead of pickle
+# using the multiprocessing module directly results in a pickling error in Python 3.10 which
+# goes like this:
+#
+#   >>> AttributeError: Can't pickle local object 'SOMEFUNCTION.<locals>.<lambda>' multiprocessing
+#
+import multiprocess as multiprocessing
 
 from hashlib import sha1
 from itertools import groupby
@@ -308,7 +315,7 @@ def get_kmer_dict(self, kmer_size, include_full_length=True, sort_kmer_items=Fal
             The second item in an inner tuple is a list of start positions of the k-mer in the input sequence,
             as a given k-mer can occur multiple times in the sequence.
         """
-        pool = mp.Pool(self.num_threads)
+        pool = multiprocessing.Pool(self.num_threads)
         all_seq_kmer_items = pool.map(
             functools.partial(get_kmer_worker,
                               kmer_size=kmer_size,
@@ -901,13 +908,13 @@ def align_without_indels(self,
                                  num_threads=self.num_threads).get_kmer_dict(seed_size)
             target_seq_dict = dict(zip(target_names, target_seq_arrays))
 
-            manager = mp.Manager()
+            manager = multiprocessing.Manager()
             input_queue = manager.Queue()
             output_queue = manager.Queue()
             processes = []
 
             for _ in range(self.num_threads):
-                p = mp.Process(target=align_without_indels_worker,
+                p = multiprocessing.Process(target=align_without_indels_worker,
                                args=(input_queue,
                                      output_queue,
                                      kmer_dict,
@@ -980,7 +987,7 @@ def match_prefixes(self, max_matches_per_query=float('inf')):
         # Do not update Progress with prefix k-mer extraction.
         kmer_dict = Kmerizer(self.target_names, self.target_seq_strings).get_prefix_full_seq_dict(kmer_size)
 
-        pool = mp.Pool(self.num_threads)
+        pool = multiprocessing.Pool(self.num_threads)
         matched_target_names = pool.map(functools.partial(prefix_match_worker,
                                                           kmer_size=kmer_size,
                                                           kmer_dict=kmer_dict,
diff --git a/anvio/sequencefeatures.py b/anvio/sequencefeatures.py
new file mode 100755
index 0000000000..2bc7c229cf
--- /dev/null
+++ b/anvio/sequencefeatures.py
@@ -0,0 +1,1381 @@
+# -*- coding: utf-8
+# pylint: disable=line-too-long
+
+"""Classes to deal with sequence features"""
+
+import os
+import re
+import copy
+import argparse
+import subprocess
+import xml.etree.ElementTree as ET
+
+from numba import jit
+from numba.typed import List
+
+import anvio
+import anvio.utils as utils
+import anvio.dbops as dbops
+import anvio.terminal as terminal
+import anvio.filesnpaths as filesnpaths
+
+from anvio.errors import ConfigError
+import IlluminaUtils.lib.fastqlib as u
+
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
+__credits__ = []
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__maintainer__ = "A. Murat Eren"
+__email__ = "a.murat.eren@gmail.com"
+
+
+P = terminal.pluralize
+pp = terminal.pretty_print
+run_quiet = terminal.Run(verbose=False)
+progress_quiet = terminal.Progress(verbose=False)
+
+
+class PrimerSearch:
+    """A class designed to search primers in (meta)genomic short-reads"""
+
+    def __init__(self, args, run=terminal.Run(), progress=terminal.Progress()):
+        self.args = args
+        self.run = run
+        self.progress = progress
+
+        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
+        self.samples_txt = A('samples_txt')
+        self.primers_file_path = A('primers_txt')
+        self.output_directory_path = A('output_dir')
+        self.min_remainder_length = A('min_remainder_length') or 60
+        self.stop_after = A('stop_after')
+        self.only_report_primer_matches = A('only_report_primer_matches')
+        self.only_report_remainders = A('only_report_remainders')
+
+        if self.only_report_primer_matches and self.only_report_remainders:
+            raise ConfigError("You can't ask anvi'o to report only primer matches AND only remainders "
+                              "at the same time. Please take a look at the help menu.")
+
+        if not (A('samples_dict') or A('samples_txt')):
+            raise ConfigError("This class is being initialized incorrectly :/ The `args` object must either include "
+                              "path for a `samples-txt` file through `samples_txt` parameter, or a dictionary for "
+                              "a samples dictionary through `samples_dict` parameter. See online help for more.")
+
+        if not (A('primers_txt') or A('primers_dict')):
+            raise ConfigError("This class is being initialized incorrectly :/ The `args` object must either include "
+                              "path for a `primers-txt` file through `primers_txt` parameter, or a dictionary for "
+                              "a primers dictionary through `primers_dict` parameter. See online help for more.")
+
+        if self.samples_txt:
+            self.samples_dict = utils.get_samples_txt_file_as_dict(self.samples_txt, run=run)
+        else:
+            self.samples_dict = A('samples_dict')
+            if not isinstance(self.samples_dict, dict):
+                raise ConfigError("The `primers_dict` parameter must be a literal dictionary.")
+
+        if self.primers_file_path:
+            self.primers_dict = utils.get_primers_txt_file_as_dict(self.primers_file_path)
+        else:
+            self.primers_dict = A('primers_dict')
+            if not isinstance(self.primers_dict, dict):
+                raise ConfigError("The `primers_dict` parameter must be a literal dictionary.")
+
+        if self.only_report_primer_matches:
+            self.min_remainder_length = 0
+
+        if self.output_directory_path:
+            filesnpaths.check_output_directory(self.output_directory_path)
+
+
+        self.reads_are_processed = False
+
+        # dictionary to keep track of some global counts for summary purposes
+        self.stats = {'total_read_counter': 0,
+                      'total_hits': 0,
+                      'sample_counter': 0,
+                      'samples': {}}
+
+        # fill in default values
+        for sample_name in self.samples_dict:
+            self.stats['samples'][sample_name] = {'reads': 0,
+                                                  'hits': 0,
+                                                  'hits_in_rc': 0,
+                                                  'primers': {}}
+
+            for primer in self.primers_dict:
+                self.stats['samples'][sample_name]['primers'][primer] = {'raw_hits': 0,
+                                                                         'final_hits': 0,
+                                                                         'shortest_seq_length_after_match': 0,
+                                                                         'longest_remainder_length': 0,
+                                                                         'avg_remainder_length': 0}
+
+        self.sanity_check()
+        self.print_class_setup()
+
+
+    def sanity_check(self):
+        if not self.samples_dict:
+            raise ConfigError("The `self.samples_dict` object is empty :/ This class is initialized incorrectly. You either must ")
+
+
+    def print_class_setup(self):
+        """Display what's up"""
+
+        self.run.info("Samples found", f"({len(self.samples_dict)}) {' '.join(self.samples_dict.keys())}")
+        self.run.info("Primers found", f"({len(self.primers_dict)}) {'; '.join(self.primers_dict.keys())}")
+        self.run.info('Output directory set', self.output_directory_path, nl_after=1)
+        self.run.info('Min remainder length', self.min_remainder_length)
+        if self.stop_after:
+            self.run.info('Only report primer matches', self.only_report_primer_matches)
+            self.run.info('Only report remainders', self.only_report_remainders)
+            self.run.info('Stop after', self.stop_after, mc='red', nl_after=1)
+        else:
+            self.run.info('Only report remainders', self.only_report_remainders)
+            self.run.info('Only report primer matches', self.only_report_primer_matches, nl_after=1)
+
+
+    def process_sample(self, sample_name):
+        """Process a single sample.
+
+        Returns
+        =======
+        sample_dict : dict
+            A dictionary that holds `hits` for each primer.
+        primers_dict : dict
+            A dictionary that holds `matching_seqeunces` for each primer
+        """
+
+        if sample_name not in self.samples_dict:
+            raise ConfigError(f"Someone is calling `process_sample` with a sample name ('{sample_name}') that "
+                              f"does not occur in `self.samples_dict`. What kind of black magic is this?")
+
+        self.stats['sample_counter'] += 1
+
+        self.progress.new("Tick tock")
+        self.progress.update('...')
+
+        sample_dict = copy.deepcopy(self.samples_dict[sample_name])
+        sample_dict['hits'] = {}
+
+        sample_stats = self.stats['samples'][sample_name]
+
+        primers_dict = copy.deepcopy(self.primers_dict)
+
+        for primer_name in primers_dict:
+            primers_dict[primer_name]['matching_sequences'] = {}
+            primers_dict[primer_name]['primer_length'] = len(primers_dict[primer_name]['primer_sequence'])
+
+            sample_dict['hits'][primer_name] = 0
+            primers_dict[primer_name]['matching_sequences'] = []
+
+
+        # go through
+        removed_due_to_remainder_length = 0
+        for pair in ['r1', 'r2']:
+            input_fastq_file_path = sample_dict[pair]
+            input_fastq = u.FastQSource(input_fastq_file_path, compressed=input_fastq_file_path.endswith('.gz'))
+
+            while input_fastq.next(raw=True) and (sample_stats['hits'] < self.stop_after if self.stop_after else True):
+                sample_stats['reads'] += 1
+
+                if sample_stats['reads'] % 10000 == 0:
+                    self.progress.update(f"{sample_name} ({self.stats['sample_counter']} of {len(self.samples_dict)}) / {pair} / Reads: {pp(sample_stats['reads'])} / Hits: {pp(sample_stats['hits'])} (in RC: {pp(sample_stats['hits_in_rc'])})")
+
+                found_in_RC = False
+
+                for primer_name in primers_dict:
+                    v = primers_dict[primer_name]
+                    seq = input_fastq.entry.sequence
+                    primer_sequence = v['primer_sequence']
+                    match = re.search(primer_sequence, seq)
+
+                    if not match:
+                        # no match here. but how about the the reverse complement of it?
+                        seq = utils.rev_comp(seq)
+
+                        match = re.search(primer_sequence, seq)
+
+                        if match:
+                            # aha. the reverse complement sequence that carries our match found.
+                            # will continue as if nothing happened
+                            sample_stats['hits_in_rc'] += 1
+                            found_in_RC = True
+
+                    if not match:
+                        continue
+
+                    sample_stats['primers'][primer_name]['raw_hits'] += 1
+
+                    if len(seq) - match.end() < self.min_remainder_length:
+                        removed_due_to_remainder_length += 1
+                        continue
+
+                    v['matching_sequences'].append((match.start(), match.end(), seq), )
+
+                    sample_stats['hits'] += 1
+                    sample_stats['primers'][primer_name]['final_hits'] += 1
+                    sample_dict['hits'][primer_name] += 1
+
+                    if anvio.DEBUG:
+                        self.progress.end()
+                        print("\n%s -- %s -- %s| %s [%s] %s" % (sample_name, pair, 'RC ' if found_in_RC else '   ', seq[:match.start()], primer_sequence, seq[match.end():]))
+                        self.progress.new("Tick tock")
+                        self.progress.update(f"{sample_name} ({self.stats['sample_counter']} of {len(self.samples_dict)}) / {pair} / Reads: {pp(sample_stats['reads'])} / Hits: {pp(sample_stats['hits'])} (in RC: {pp(sample_stats['hits_in_rc'])})")
+
+            self.stats['total_read_counter'] += sample_stats['reads']
+            self.stats['total_hits'] += sample_stats['hits']
+
+            # calculate and store stats for primer hits
+            for primer_name in primers_dict:
+                matching_sequence_hits = primers_dict[primer_name]['matching_sequences']
+                seq_lengths_after_match = [len(sequence[end:]) for start, end, sequence in matching_sequence_hits]
+
+                if len(seq_lengths_after_match):
+                    sample_stats['primers'][primer_name]['shortest_seq_length_after_match'] = min(seq_lengths_after_match)
+                    sample_stats['primers'][primer_name]['longest_remainder_length'] = max(seq_lengths_after_match)
+                    sample_stats['primers'][primer_name]['avg_remainder_length'] = sum(seq_lengths_after_match) / len(seq_lengths_after_match)
+
+        self.progress.end()
+
+        return sample_dict, primers_dict
+
+
+    def process(self):
+        """Processes everything."""
+
+
+        for sample_name in self.samples_dict:
+            sample_dict, primers_dict = self.process_sample(sample_name)
+
+            if self.output_directory_path:
+                self.store_sequences(sample_name, sample_dict, primers_dict)
+
+            # call Batman
+            del sample_dict
+            del primers_dict
+
+        self.reads_are_processed = True
+
+
+    def print_summary(self):
+        """Prints a fancy summary of the results"""
+
+        if not self.reads_are_processed:
+            raise ConfigError("You first need to call the member function `process`.")
+
+        self.run.warning(None, header="FINAL SUMMARY", lc='yellow')
+        self.run.info_single(f"After processing {pp(self.stats['total_read_counter'])} individual reads in {P('sample', len(self.samples_dict))}, "
+                             f"anvi'o found {P('hit', self.stats['total_hits'])} for your {P('sequence', len(self.primers_dict), pfs='only')} "
+                             f"in the primer sequences file. What is shown below breaks these numbers down per sample because that's how "
+                             f"anvi'o rolls. There are some acronyms below, and they are very creatively named. RH: number of raw hits (the actual "
+                             f"number of times a primer matched to a sequence). FH: number of final hits (after testing whether the remainder length "
+                             f"was longer than the user-set or default minimum value). SRL: shortest remainder length. LRL: Longest remainder length. "
+                             f"ARL: Average remainder length after match).", level=0)
+
+        for sample_name in self.samples_dict:
+            self.run.info(f"{sample_name}", f"{pp(self.stats['samples'][sample_name]['reads'])} total reads", nl_before=1, lc="green", mc="green")
+            for primer_sequence in self.primers_dict:
+                s = self.stats['samples'][sample_name]['primers'][primer_sequence]
+                self.run.info(f"    {primer_sequence}", f"RH: {pp(s['raw_hits']) if s['raw_hits'] else '--'} / "
+                                                        f"FH: {pp(s['final_hits']) if s['final_hits'] else '--'} / "
+                                                        f"SRL: {s['shortest_seq_length_after_match'] if s['shortest_seq_length_after_match'] else '--'} / "
+                                                        f"LRL: {s['longest_remainder_length'] if s['longest_remainder_length'] else '--'} / "
+                                                        f"ARL: {s['avg_remainder_length']:.2f}", mc=('yellow' if s['final_hits'] else 'red'))
+
+        if not self.stats['total_read_counter']:
+            self.run.info_single('No hits were found :/', mc='red', nl_before=1)
+
+
+    def get_sequences(self, primer_name, primers_dict, target):
+        """For a given list of `matching_sequences`, recover sequences of various nature from matches.
+
+        Parameters
+        ==========
+        primer_name : string
+            This is essentially a key that exists in `primers_dict`.
+        primers_dict : dict
+            The sample-specific primers dictionary (recovered from `self.process_sample`).
+        target : string
+            It can be one of the following: 'remainders', 'primer_match', 'trimmed', 'gapped'. Remainders are the downstream
+            sequences after primer match, excluding the primer sequence. Primer matches are the primer-matching part of the
+            match sequences (useful if one is working with degenerate primers and wishes to see the diversity of matching
+            seqeunces). Trimmed sequences are trimmed to the shortest length (and include primer match). Gapped sequences
+            are not trimmed, but shorter ones are padded with gaps.
+
+        Returns
+        =======
+        sequences : list
+            Where each item is the desired part of the match sequences.
+        """
+
+        valid_targets = ['remainders', 'primer_match', 'trimmed', 'gapped']
+
+        if target not in valid_targets:
+            raise ConfigError(f"You gon to the wrong neighborhood (like the way Tom Hanks did it in Berlin and lost his jacket). "
+                              f"Try one of these targets: \"{', '.join(valid_targets)}\".")
+
+        l = []
+
+        primer_length = len(self.primers_dict[primer_name]['primer_sequence'])
+        match_sequences = primers_dict[primer_name]['matching_sequences']
+
+        if target in ['trimmed', 'gapped']:
+            seq_lengths_after_match = [len(sequence[end:]) for start, end, sequence in match_sequences]
+            max_seq_length = (max(seq_lengths_after_match) + primer_length) if len(seq_lengths_after_match) else 0
+            min_seq_length = (min(seq_lengths_after_match) + primer_length) if len(seq_lengths_after_match) else 0
+        else:
+            seq_lengths_after_match = None
+            max_seq_length = None
+            min_seq_length = None
+
+        if target == 'remainders':
+            for start, end, sequence in match_sequences:
+                if self.min_remainder_length:
+                    l.append(sequence[end:end + self.min_remainder_length])
+                else:
+                    l.append(sequence[end:])
+        elif target == 'primer_match':
+            for start, end, sequence in match_sequences:
+                l.append(sequence[start:end])
+        elif target == 'trimmed':
+            for start, end, sequence in match_sequences:
+                l.append(sequence[:min_seq_length])
+        elif target == 'gapped':
+            for start, end, sequence in match_sequences:
+                sequence = sequence[start:]
+                l.append(sequence + '-' * (max_seq_length - len(sequence)))
+        else:
+            pass
+
+        return l
+
+
+    def store_sequences(self, sample_name, sample_dict, primers_dict):
+        """Store sequence files for a given sample under `self.output_directory_path`"""
+
+        if not self.output_directory_path:
+            return
+
+        if not os.path.exists(self.output_directory_path):
+            filesnpaths.gen_output_directory(self.output_directory_path)
+
+        self.run.info_single(f"Output files for {sample_name}:", nl_before=1, mc="green")
+
+        if self.only_report_remainders:
+            self.progress.new("Generating the remainders file")
+            self.progress.update('...')
+            for primer_name in primers_dict:
+                remainder_sequences = self.get_sequences(primer_name, primers_dict, target='remainders')
+                output_file_path = os.path.join(self.output_directory_path, '%s-%s-REMAINDERS.fa' % (sample_name, primer_name))
+                with open(output_file_path, 'w') as output:
+                    counter = 1
+                    for sequence in remainder_sequences:
+                        output.write(f'>{sample_name}_{primer_name}_{counter:05d}\n{sequence}\n')
+                        counter += 1
+            self.progress.end()
+
+            self.run.info('    Remainders sequences', os.path.join(self.output_directory_path, f'{sample_name}-*-REMAINDERS.fa'))
+
+            return
+
+        self.progress.new("Generating the primer matches files")
+        self.progress.update('...')
+        for primer_name in primers_dict:
+            primer_matching_sequences = self.get_sequences(primer_name, primers_dict, target='primer_match')
+
+            output_file_path = os.path.join(self.output_directory_path, '%s-%s-PRIMER-MATCHES.fa' % (sample_name, primer_name))
+            with open(output_file_path, 'w') as output:
+                counter = 1
+                for sequence in primer_matching_sequences:
+                    output.write(f'>{sample_name}_{primer_name}_{counter:05d}\n{sequence}\n')
+                    counter += 1
+        self.progress.end()
+
+        self.run.info('    Primer matches', os.path.join(self.output_directory_path, f'{sample_name}-*-PRIMER-MATCHES.fa'))
+
+        if self.only_report_primer_matches:
+            return
+
+        self.progress.new("Generating the fancy hits files")
+        self.progress.update('...')
+        for primer_name in self.primers_dict:
+            trimmed_output_file_path = os.path.join(self.output_directory_path, '%s-%s-HITS-TRIMMED.fa' % (sample_name, primer_name))
+            sequences = self.get_sequences(primer_name, primers_dict, target='trimmed')
+            with open(trimmed_output_file_path, 'w') as trimmed:
+                counter = 1
+                for sequence in sequences:
+                    trimmed.write(f'>{sample_name}_{primer_name}_{counter:05d}\n{sequence}\n')
+                    counter += 1
+
+            gapped_output_file_path = os.path.join(self.output_directory_path, '%s-%s-HITS-WITH-GAPS.fa' % (sample_name, primer_name))
+            sequences = self.get_sequences(primer_name, primers_dict, target='gapped')
+            with open(gapped_output_file_path, 'w') as gapped:
+                counter = 1
+                for sequence in sequences:
+                    gapped.write(f'>{sample_name}_{primer_name}_{counter:05d}\n{sequence}\n')
+                    counter += 1
+
+        self.progress.end()
+
+        self.run.info('    Trimmed hits', os.path.join(self.output_directory_path, f'{sample_name}-*-HITS.fa'))
+        self.run.info('    Hits with gaps', os.path.join(self.output_directory_path, f'{sample_name}-*-HITS.fa'))
+
+        return
+
+
+
+class Palindrome:
+    def __init__(self, sequence_name=None, first_start=None, first_end=None, first_sequence=None, second_start=None,
+                 second_end=None, second_sequence=None, num_mismatches=None, length=None, distance=None, num_gaps=None,
+                 midline='', method=None, run=terminal.Run()):
+        self.run = run
+        self.sequence_name = sequence_name
+        self.first_start = first_start
+        self.first_end = first_end
+        self.first_sequence = first_sequence
+        self.second_start = second_start
+        self.second_end = second_end
+        self.second_sequence = second_sequence
+        self.num_mismatches = num_mismatches
+        self.length = length
+        self.distance = distance
+        self.num_gaps = num_gaps
+        self.midline = midline
+        self.method = method
+
+
+    def __str__(self):
+        return f"Len: {self.length}; Dist: {self.distance}; {self.first_sequence} ({self.first_start}:{self.first_end}) :: {self.second_sequence} ({self.second_start}:{self.second_end})"
+
+
+    def display(self):
+
+        # we don't care what `verbose` variable the original instance may have. if
+        # the user requests to `display` things, we will display it, and then store
+        # the original state again.
+        verbose = self.run.verbose
+        self.run.verbose = True
+
+        self.run.warning(None, header=f'{self.length} nts palindrome', lc='yellow')
+        self.run.info('Method', self.method, mc='red')
+        self.run.info('1st sequence [start:stop]', f"[{self.first_start}:{self.first_end}]", mc='green')
+        self.run.info('2nd sequence [start:stop]', f"[{self.second_start}:{self.second_end}]", mc='green')
+        self.run.info('Number of mismatches', f"{self.num_mismatches}", mc='red')
+        self.run.info('Distance between', f"{self.distance}", mc='yellow')
+        self.run.info('1st sequence', self.first_sequence, mc='green')
+        self.run.info('ALN', self.midline, mc='green')
+        self.run.info('2nd sequence', self.second_sequence, mc='green')
+
+        # store the original verbose state
+        self.run.verbose = verbose
+
+
+class Palindromes:
+    def __init__(self, args=argparse.Namespace(), run=terminal.Run(), progress=terminal.Progress()):
+        self.args = args
+        self.run = run
+        self.progress = progress
+
+        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
+        self.palindrome_search_algorithm = A('palindrome_search_algorithm')
+        self.min_palindrome_length = 10 if A('min_palindrome_length') == None else A('min_palindrome_length')
+        self.max_num_mismatches = A('max_num_mismatches') or 0
+        self.min_distance = A('min_distance') or 0
+        self.min_mismatch_distance_to_first_base = A('min_mismatch_distance_to_first_base') or 1
+        self.verbose = A('verbose') or False
+        self.contigs_db_path = A('contigs_db')
+        self.fasta_file_path = A('fasta_file')
+        self.output_file_path = A('output_file')
+
+        self.palindrome_search_algorithms = {
+            'BLAST': self._find_BLAST,
+            'numba': self._find_numba,
+        }
+
+        self.num_threads = int(A('num_threads')) if A('num_threads') else 1
+        self.blast_word_size = A('blast_word_size') or 10
+
+        self.translate = {'A': 'T', 'T': 'A', 'C': 'G', 'G': 'C'}
+
+        self.sanity_check()
+
+        self.run.warning(None, header="SEARCH SETTINGS", lc="green")
+        self.run.info('Palindrome search algorithm', self.palindrome_search_algorithm or "[will be dynamically determined based on sequence length]", mc="red")
+        self.run.info('Minimum palindrome length', self.min_palindrome_length)
+        self.run.info('Number of mismatches allowed', self.max_num_mismatches)
+        self.run.info('Min mismatch distance to the first base', self.min_mismatch_distance_to_first_base)
+        self.run.info('Minimum dist for each seq of a palindrome', self.min_distance)
+        self.run.info('Be verbose?', 'No' if not self.verbose else 'Yes', nl_after=1)
+        self.run.info('Number of threads for BLAST', self.num_threads)
+        self.run.info('Word size for BLAST', self.blast_word_size, nl_after=1)
+
+        self.user_is_warned_for_potential_performance_issues = False
+
+        self.palindromes = {}
+
+
+    def sanity_check(self):
+        if self.contigs_db_path and self.fasta_file_path:
+            raise ConfigError("You should either choose a FASTA file or a contigs db to send to this "
+                              "class, not both :/")
+
+        if self.min_mismatch_distance_to_first_base < 1:
+            raise ConfigError("The minimum mismatch thistance to the first base from either of the palindrome "
+                              "must be greater than 0.")
+
+        if self.output_file_path:
+            filesnpaths.is_output_file_writable(self.output_file_path, ok_if_exists=False)
+
+        if self.contigs_db_path:
+            utils.is_contigs_db(self.contigs_db_path)
+
+        if self.fasta_file_path:
+            filesnpaths.is_file_fasta_formatted(self.fasta_file_path)
+
+        try:
+            self.min_palindrome_length = int(self.min_palindrome_length)
+        except:
+            raise ConfigError("Minimum palindrome length must be an integer.")
+
+        try:
+            self.max_num_mismatches = int(self.max_num_mismatches)
+        except:
+            raise ConfigError("Maximum number of mismatches must be an integer.")
+
+        if self.blast_word_size < 4:
+            raise ConfigError("For everyone's sake, we set the minimum value for the minimum word size for BLAST to "
+                              "5. If you need this to change, please let us know (or run the same command with `--debug` "
+                              "flag, find the location of this control, and hack anvi'o by replacing that 4 with something "
+                              "smaller -- anvi'o doesn't mind being hacked).")
+
+        if self.min_palindrome_length < 4:
+            raise ConfigError("For everyone's sake, we set the minimum value for the minimum palindrome length to "
+                              "4. You have a problem with that? WELL, WELCOME TO THE CLUB, YOU'LL FIT RIGHT IN -- "
+                              "WE HAVE A PROBLEM WITH LOGIC TOO.")
+
+
+    def process(self):
+        """Processes all sequences in a given contigs database or a FASTA file.
+
+        What this function does depends on the configuration of the class. Member functions `find_gapless`
+        or `find_with_gaps` may be more appropriate to call if there is a single sequence to process.
+        """
+
+        if self.contigs_db_path:
+            contigs_db = dbops.ContigsDatabase(self.contigs_db_path)
+            contig_sequences_dict = contigs_db.db.get_table_as_dict(anvio.tables.contig_sequences_table_name)
+
+            self.progress.new('Searching', progress_total_items=len(contig_sequences_dict))
+            for sequence_name in contig_sequences_dict:
+                self.progress.update(f"{sequence_name} ({pp(len(contig_sequences_dict[sequence_name]['sequence']))} nts)", increment=True)
+                self.find(contig_sequences_dict[sequence_name]['sequence'], sequence_name=sequence_name)
+            self.progress.end()
+
+        elif self.fasta_file_path:
+            num_sequences = utils.get_num_sequences_in_fasta(self.fasta_file_path)
+            fasta = anvio.fastalib.SequenceSource(self.fasta_file_path)
+            self.progress.new('Searching', progress_total_items=num_sequences)
+
+            while next(fasta):
+                self.progress.update(f"{fasta.id} ({pp(len(fasta.seq))} nts)", increment=True)
+                self.find(fasta.seq, sequence_name=fasta.id)
+            self.progress.end()
+
+        else:
+            raise ConfigError("You called the `process` function of the class `Palindromes` without a FASTA "
+                              "file or contigs database to process :(")
+
+        self.report()
+
+
+    def find(self, sequence, sequence_name="N/A", display_palindromes=False, **kwargs):
+        """Find palindromes in a single sequence, and populate `self.palindromes`
+
+        This method finds palindromes by delegating to either `_find_BLAST` and `_find_numba`, unless the user
+        has explicitly defined which algorithm to use for search.
+
+        Notes
+        =====
+        - The method `process` may be a better one to call if you have an `args` object. See `anvi-search-palindromes`
+          for example usage.
+        """
+
+        if sequence_name in self.palindromes:
+            raise ConfigError(f"The sequence '{sequence_name}' is already in `self.palindromes`.")
+        else:
+            self.palindromes[sequence_name] = []
+
+        sequence_length = len(sequence)
+        if sequence_length < self.min_palindrome_length * 2 + self.min_distance:
+            self.progress.reset()
+            if sequence_name == 'N/A':
+                friendly_sequence_name = "The sequence you have provided"
+            else:
+                friendly_sequence_name = f"The sequence '{sequence_name}'"
+            self.run.warning(f"{friendly_sequence_name} is only {sequence_length} nts long, and so it is too "
+                             f"short to find any palindromes in it that are at least {self.min_palindrome_length} nts with "
+                             f"{self.min_distance} nucleoties in between :/ Anvi'o will most likely skip it.")
+
+        # determine which palindrome search algorithm to use.
+        if self.palindrome_search_algorithm:
+            # which means the search algorithm is set by the user:
+            method = self.palindrome_search_algorithms[self.palindrome_search_algorithm]
+        else:
+            # which means we are going to dynamically determine which algorith to use
+            # as a function of the sequence length
+            method = self.palindrome_search_algorithms['BLAST'] if len(sequence) >= 5000 else self.palindrome_search_algorithms['numba']
+
+        # get palindromes found in the sequence
+        palindromes = method(sequence, **kwargs)
+
+        for palindrome in palindromes:
+            if anvio.DEBUG or display_palindromes or self.verbose:
+                self.progress.reset()
+                palindrome.display()
+
+            palindrome.sequence_name = sequence_name
+            self.palindromes[sequence_name].append(palindrome)
+
+
+    def _find_BLAST(self, sequence):
+        """Find palindromes in a single sequence using BLAST
+
+        This method of palindrome finding is slow for short sequences, but scales very well with
+        arbitrarily sized palindrome searching, e.g. entire assemblies or genomes. If the sequence
+        length > 5000, this is a great choice.
+
+        Here are the timings as a function of sequence length.
+
+            length 100:     51.7 ms ± 2.34 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
+            length 278:     48.4 ms ± 947 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)
+            length 774:     47.9 ms ± 570 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)
+            length 2154:    49.8 ms ± 541 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)
+            length 5994:    52 ms ± 2.53 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
+            length 16681:   51.7 ms ± 555 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)
+            length 46415:   56.4 ms ± 623 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)
+            length 129154:  63.8 ms ± 510 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)
+            length 359381:  100 ms ± 848 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)
+            length 1000000: 324 ms ± 4.95 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
+
+        Returns
+        =======
+        out : list of anvio.sequencefeatures.Palindrome
+            Returns a list of Palindrome objects. If no palindromes are found, empty list is returned.
+        """
+        palindromes = []
+        sequence = sequence.upper()
+
+        if self.min_palindrome_length < 20 and len(sequence) > 10000 and not self.user_is_warned_for_potential_performance_issues:
+            self.progress.reset()
+            self.run.warning(f"Please note, you are searching for palindromes that are as short as {self.min_palindrome_length} "
+                             f"in a sequence that is {pp(len(sequence))} nts long. If your palindrome search takes a VERY long time "
+                             f"you may want to go for longer palindromes by setting a different `--min-palindrome-length` parameter "
+                             f"and by increasing the BLAST word size using `--blast-word-size` parameter (please read the help menu first). "
+                             f"This part of the code does not know if you have many more seqeunces to search, but anvi'o will not "
+                             f"continue displaying this warning for additional seqeunces to minimize redundant informatio in your "
+                             f"log files (because despite the popular belief anvi'o can actually sometimes be like nice and all).",
+                             header="ONE-TIME PERFORMANCE WARNING")
+            self.user_is_warned_for_potential_performance_issues = True
+
+        # setup BLAST job
+        BLAST_search_tmp_dir = filesnpaths.get_temp_directory_path()
+        fasta_file_path = os.path.join(BLAST_search_tmp_dir, 'sequence.fa')
+        with open(fasta_file_path, 'w') as fasta_file:
+            fasta_file.write(f'>sequence\n{sequence}\n')
+
+        search_command = f"""blastn -query {fasta_file_path} \
+                                    -subject {fasta_file_path} \
+                                    -evalue 10 \
+                                    -outfmt 5 \
+                                    -num_threads {self.num_threads} \
+                                    -word_size {self.blast_word_size} \
+                                    -strand minus"""
+
+        p = subprocess.Popen(search_command, stdout=subprocess.PIPE, stdin=subprocess.PIPE, stderr=subprocess.STDOUT, shell=True, executable='/bin/bash')
+        BLAST_output = p.communicate()[0]
+
+        # parse the BLAST XML output
+        root = ET.fromstring(BLAST_output.decode())
+        for query_sequence_xml in root.findall('BlastOutput_iterations/Iteration'):
+            for hit_xml in query_sequence_xml.findall('Iteration_hits/Hit'):
+
+                for hsp_xml in hit_xml.findall('Hit_hsps/Hsp'):
+                    p = Palindrome(method='BLAST', run=self.run)
+
+                    p.first_start = int(hsp_xml.find('Hsp_query-from').text) - 1
+                    p.first_end = int(hsp_xml.find('Hsp_query-to').text)
+                    p.first_sequence = hsp_xml.find('Hsp_qseq').text
+
+                    p.second_start = int(hsp_xml.find('Hsp_hit-to').text) - 1
+                    p.second_end = int(hsp_xml.find('Hsp_hit-from').text)
+                    p.second_sequence = hsp_xml.find('Hsp_hseq').text
+
+                    # Calculating the 'distance' next. But it is a bit tricky. Imagine this as your genomic context for
+                    # this 'in-place' palindrome:
+                    #
+                    #    >>> 0        1
+                    #    >>> 1234567890
+                    #    >>> ...TCGA...
+                    #
+                    # where you indeed have a proper palindrome here. the start and end of both sequences of this
+                    # palindrome will be the same: TCGA (3:7) :: TCGA (3:7). In this case, we can't simply calculate
+                    # 'distance' by substracting the start of the second sequence from the end of the first, OR we
+                    # can't simply remove it from our consideration because p.second_start - p.first_end is a negative
+                    # value.
+                    #
+                    # In contrast, consider this as your genomic context for this 'distance palindrome':
+                    #
+                    #    >>> 0        1
+                    #    >>> 12345678901234567
+                    #    >>> ...ATCC...GGAT...
+                    #
+                    # This also is a proper palindrome. But the start and the end of each sequence will be different this
+                    # time in the BLAST results: ATCC (3:7) :: ATCC (10:14). And for such distant palindromes, BLAST results
+                    # will ALWAYS include the same result for its reverse complement, where p.second_start - p.first_end will
+                    # be negative, which we will want to remove. So the following few lines consider all these scenarios
+                    # to not always remove 'in-place' palindromes.
+
+                    if p.first_start == p.second_start:
+                        # this is an in-place palindrome. which means, the distance
+                        # between these sequences is 0 and we have to manually set it
+                        p.distance = 0
+                    else:
+                        # this is a distant palindrome, so we calculate the distance
+                        # from actual positions:
+                        p.distance = p.second_start - p.first_end
+
+                    # for each distant palindrome in the sequence, there will be a copy of the reverse complement of the first
+                    # hit. now we have set the distance properly, we can remove those from hits to be considered:
+                    if p.distance < 0:
+                        continue
+
+                    # time to check the remaining ones for minimum distance, if it is defined:
+                    if p.distance < self.min_distance:
+                        continue
+
+                    # before we continue, we will test for a special case: internal palindromes
+                    # within larger palindromes of 0 distance. IT DOES HAPPEN I PROM.
+                    if p.distance == 0:
+                        internal_palindrome = False
+                        for _p in palindromes:
+                            if p.first_start > _p.first_start and p.first_start < _p.first_end:
+                                internal_palindrome = True
+                                break
+
+                        if internal_palindrome:
+                            continue
+
+                    p.length = int(hsp_xml.find('Hsp_align-len').text)
+
+                    if p.length < self.min_palindrome_length:
+                        # buckle your seat belt Dorothy, 'cause Kansas is going bye-bye:
+                        continue
+
+                    p.num_gaps = int(hsp_xml.find('Hsp_gaps').text)
+                    p.num_mismatches = int(hsp_xml.find('Hsp_align-len').text) - int(hsp_xml.find('Hsp_identity').text)
+                    p.midline = ''.join(['|' if p.first_sequence[i] == p.second_sequence[i] else 'x' for i in range(0, len(p.first_sequence))])
+
+                    if p.num_mismatches > self.max_num_mismatches or p.num_gaps > 0:
+                        # this is the crazy part: read the function docstring for `get_split_palindromes`.
+                        # briefly, we conclude that there are too many mismatches in this match, we will
+                        # try and see if there is anything we can salvage from it.
+                        p_list = self.get_split_palindromes(p)
+                    else:
+                        # there aren't too many mismatches, and the length checks out. we will continue
+                        # processing this hit as a sole palindrome
+                        p_list = [p]
+
+                    for sp in p_list:
+                        palindromes.append(sp)
+
+        # clean after yourself
+        if anvio.DEBUG:
+            self.run.info("BLAST temporary dir kept", BLAST_search_tmp_dir, nl_before=1, mc='red')
+        else:
+            filesnpaths.shutil.rmtree(BLAST_search_tmp_dir)
+
+        return palindromes
+
+
+    def _find_numba(self, sequence, coords_only=False):
+        """Find palindromes in a single sequence using a numba state machine
+
+        This method of palindrome specializes in finding palindromes for short sequences (<5000). If
+        the sequence length < 5000, this is a great choice.
+
+        Here are timings as a function of sequence size:
+
+            length 100:   17.6 µs ± 480 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)
+            length 166:   42.8 µs ± 431 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)
+            length 278:   139 µs ± 1.88 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)
+            length 464:   429 µs ± 4.18 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)
+            length 774:   1.3 ms ± 10.5 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)
+            length 1291:  4.01 ms ± 128 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
+            length 2154:  11.2 ms ± 492 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
+            length 3593:  31.3 ms ± 1.05 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
+            length 5994:  88.8 ms ± 410 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)
+            length 10000: 241 ms ± 1.86 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
+
+        Parameters
+        ==========
+        coords_only : bool, False
+            If True
+
+        Returns
+        =======
+        out : list of anvio.sequencefeatures.Palindrome
+            By default, returns a list of Palindrome objects. But if coords_only is True, a list of
+            4-length tuples are returned. Each tuple is (first_start, first_second, second_start, second_end).
+            If no palindromes are found, an empty list is returned.
+        """
+        sequence_array = utils.nt_seq_to_nt_num_array(sequence)
+        sequence_array_RC = utils.nt_seq_to_RC_nt_num_array(sequence)
+
+        palindrome_coords = _find_palindromes(
+            seq = sequence_array,
+            rev = sequence_array_RC,
+            m = self.min_palindrome_length,
+            N = self.max_num_mismatches,
+            D = self.min_distance,
+            Q = self.min_mismatch_distance_to_first_base,
+        )
+
+        # sort by longest palindrome first
+        palindrome_coords = sorted(palindrome_coords, key = lambda y: y[1]-y[0], reverse=True)
+
+        if coords_only:
+            return palindrome_coords
+
+        palindromes = []
+        for first_start, first_end, second_start, second_end in palindrome_coords:
+            first_sequence = sequence[first_start:first_end]
+            second_sequence = utils.rev_comp(sequence[second_start:second_end])
+            num_mismatches = sum(1 for a, b in zip(first_sequence, second_sequence) if a != b)
+            midline = ''.join('|' if a == b else 'x' for a, b in zip(first_sequence, second_sequence))
+
+            palindrome = Palindrome(
+                first_start = first_start,
+                first_end = first_end,
+                first_sequence = first_sequence,
+                second_start = second_start,
+                second_end = second_end,
+                second_sequence = second_sequence,
+                num_mismatches = num_mismatches,
+                midline = midline,
+                distance = second_start - first_end,
+                length = len(first_sequence),          # length of first will always be length of second
+                num_gaps = 0,                          # via the behavior of _find_palindrome
+                method = 'numba',
+                run = self.run,
+            )
+
+            palindromes.append(palindrome)
+
+        return palindromes
+
+
+    def resolve_mismatch_map(self, s, min_palindrome_length=15, max_num_mismatches=3, min_mismatch_distance_to_first_base=1):
+        """Takes a mismatch map, returns longest palindrome start/ends that satisfy all constraints
+
+        If you would like to test this function, a palindrome mismatch map looks
+        like this:
+
+            >>> s = 'ooxooooooooooooooooxoooxoxxoxxoxoooooooooxoxxoxooooooooo--ooo-o-xoxoooxoooooooooooooooooo'
+
+        The rest of the code will document itself using the mismatch map `s` as an example. One could quickly test
+        how a mismatch map is resolved for a given `s` by running this function this way:
+
+            >>> from anvio.sequencefeatures import Palindromes
+            >>> resolution = Palindromes().resolve_mismatch_map(s)
+
+        Here is a more elaborate example:
+
+            >>> from anvio.sequencefeatures import Palindromes as P
+            >>> from anvio.terminal import Run
+            >>> 
+            >>> p = P(run=Run(verbose=False))
+            >>> 
+            >>> s = 'ooxooooooooooooooooxoooxoxxoxxoxoooooooooxoxxoxooooooooo--ooo-o-xoxoooxoooooooooooooooooo'
+            >>> 
+            >>> RESOLUTION = lambda: [s[start:end] for start, end in p.resolve_mismatch_map(s, max_num_mismatches=max_num_mismatches, min_mismatch_distance_to_first_base=min_mismatch_distance_to_first_base, min_palindrome_length=min_palindrome_length)]
+            >>> 
+            >>> max_num_mismatches=1
+            >>> min_mismatch_distance_to_first_base=1
+            >>> min_palindrome_length=5
+            >>> print(RESOLUTION())
+            ['ooooooooooooooooxooo', 'oxooooooooo', 'oxooooooooo', 'oooxoooooooooooooooooo']
+            >>> 
+            >>> max_num_mismatches=1
+            >>> min_mismatch_distance_to_first_base=2
+            >>> min_palindrome_length=5
+            >>> print(RESOLUTION())
+            ['ooooooooooooooooxooo', 'ooooooooo', 'ooooooooo', 'oooxoooooooooooooooooo']
+            >>> 
+            >>> max_num_mismatches=1
+            >>> min_mismatch_distance_to_first_base=5
+            >>> min_palindrome_length=5
+            >>> print(RESOLUTION())
+            ['oooooooooooooooo', 'ooooooooo', 'ooooooooo', 'oooooooooooooooooo']
+            >>> 
+            >>> max_num_mismatches=5
+            >>> min_mismatch_distance_to_first_base=1
+            >>> min_palindrome_length=5
+            >>> print(RESOLUTION())
+            ['ooxooooooooooooooooxoooxoxxo', 'oxoooooooooxoxxoxooooooooo', 'oxoooxoooooooooooooooooo']
+            >>> 
+            >>> max_num_mismatches=5
+            >>> min_mismatch_distance_to_first_base=2
+            >>> min_palindrome_length=5
+            >>> print(RESOLUTION())
+            ['ooxooooooooooooooooxooo', 'oooooooooxoxxoxooooooooo', 'oooxoooooooooooooooooo']
+        """
+
+        if len(s) < min_palindrome_length:
+            return []
+
+        # a helper function.
+        ADD = lambda _: _.add((start, end), ) if end - start > min_palindrome_length else None
+
+        # The purpose here is to find the longest stretches of 'o'
+        # characters in a given string of mismatch map `s` (which
+        # correspond to matching nts in a palindromic sequence)
+        # without violating the maximum number of mismatches allowed
+        # by the user (which correspond to `c`) characters. The gaps
+        # `-` are not allowed by any means, so they are ignored.
+        #
+        # A single pass of this algorithm over a `s` to
+        # identify sections of it with allowed number of mismathces
+        # will not give an opportunity to identify longest possible
+        # stretches of palindromic sequences. however, a moving
+        # start position WILL consider all combinations of substrings,
+        # which can later be considered to find best ones. it is
+        # difficult to imagine without an example, so for the string `s`
+        # shown above, `starts` will look like this:
+        #
+        # >>> [0, 3, 20, 24, 26, 27, 29, 30, 32, 42, 44, 45, 47, 65, 67, 71]
+        starts = [0] + [pos + 1 for pos, c in enumerate(s) if c == 'x']
+
+        # running the state machine below for a given `start` will collect
+        # every matching stretch that contains an acceptable number of
+        # mismatches. For instance, for a max mismatch requirement of two,
+        # the iterations over `s` will identify start-end positions that
+        # will yeild the following substrings:
+        #
+        # >>>  s: ooxooooooooooooooooxoooxoxxoxxoxoooooooooxoxxoxooooooooo--ooo-o-xoxoooxoooooooooooooooooo
+        #
+        # >>>  0: ooxooooooooooooooooxooo oxxo xoxooooooooo oxxo ooooooooo  ooo o xoxooo oooooooooooooooooo
+        # >>>  3: .. ooooooooooooooooxoooxo xox oxoooooooooxo xoxooooooooo  ooo o xoxooo oooooooooooooooooo
+        # >>> 20: ................... oooxox oxxo oooooooooxox oxooooooooo  ooo o xoxooo oooooooooooooooooo
+        # >>> 24: ....................... oxxo xoxooooooooo oxxo ooooooooo  ooo o xoxooo oooooooooooooooooo
+        # >>> 26: ......................... xox oxoooooooooxo xoxooooooooo  ooo o xoxooo oooooooooooooooooo
+        # >>> 27: .......................... oxxo oooooooooxox oxooooooooo  ooo o xoxooo oooooooooooooooooo
+        # >>> 29: ............................ xoxooooooooo oxxo ooooooooo  ooo o xoxooo oooooooooooooooooo
+        # >>> 30: ............................. oxoooooooooxo xoxooooooooo  ooo o xoxooo oooooooooooooooooo
+        # >>> 32: ............................... oooooooooxox oxooooooooo  ooo o xoxooo oooooooooooooooooo
+        # >>> 42: ......................................... oxxo ooooooooo  ooo o xoxooo oooooooooooooooooo
+        # >>> 44: ........................................... xoxooooooooo  ooo o xoxooo oooooooooooooooooo
+        # >>> 45: ............................................ oxooooooooo  ooo o xoxooo oooooooooooooooooo
+        # >>> 47: .............................................. ooooooooo  ooo o xoxooo oooooooooooooooooo
+        # >>> 65: ................................................................ oxoooxoooooooooooooooooo
+        # >>> 67: .................................................................. oooxoooooooooooooooooo
+        # >>> 71: ...................................................................... oooooooooooooooooo
+        #
+        # thus, the list `W` will contain start-end positions for every
+        # possible stretch that do not include gap characters and long
+        # enough to be worth considering.
+        W = set([])
+        for start in starts:
+            end = start
+            num_mismatches = 0
+
+            while 1:
+                if s[start] == 'x':
+                    start += 1
+                    continue
+
+                if s[end] == 'o':
+                    end += 1
+                elif s[end] == 'x':
+                    num_mismatches += 1
+
+                    if num_mismatches > max_num_mismatches:
+                        ADD(W)
+                        num_mismatches = 0
+                        start = end + 1
+                        end = start
+                    else:
+                        end += 1
+                else:
+                    ADD(W)
+                    num_mismatches = 0
+                    start = end + 1
+                    end = start
+
+                if end + 1 > len(s):
+                    if end > start:
+                        ADD(W)
+
+                    break
+
+        W = sorted(W)
+
+        # make sure all stretches respect the `min_mismatch_distance_to_first_base` criterion.
+        L = set([])
+        for start, end in W:
+            while 1:
+                dirty = False
+                for i in range(0, min_mismatch_distance_to_first_base):
+                    if s[end-i-1] == 'x':
+                        end = end - i - 1
+                        dirty = True
+
+                    if s[start + i] == 'x':
+                        start = start + i + 1
+                        dirty = True
+
+                    # if no mismatches left to work with, call it a day
+                    if 'x' not in s[start:end]:
+                        dirty = False
+                        break
+
+                if not dirty:
+                    ADD(L)
+                    break
+        W = L
+
+        # sort all based on substring length
+        W = sorted(W, key=lambda x: x[1] - x[0], reverse=True)
+
+        # the following code will pop the longest substring from W[0], then
+        # remove all the ones that overlap with it, and take the longest one
+        # among those that remain, until all items in `W` are considered.
+        F = []
+        while 1:
+            if not len(W):
+                break
+
+            _start, _end = W.pop(0)
+            F.append((_start, _end), )
+
+            W = [(start, end) for (start, end) in W if (start < _start and end < _start) or (start > _end and end > _end)]
+
+        # now `F` contains the longest substrings with maximum number of
+        # mismatches allowed, which will look like this for the `s` with
+        # various minimum length (ML) and max mismatches (MM) parameters:
+        #
+        # >>>    input s: ooxooooooooooooooooxoooxoxxoxxoxoooooooooxoxxoxooooooooo--ooo-o-xoxoooxoooooooooooooooooo
+        #
+        # >>> ML 5; MM 0:    oooooooooooooooo             ooooooooo      ooooooooo               oooooooooooooooooo
+        # >>> ML 5; MM 1:    ooooooooooooooooxooo         oooooooooxo  oxooooooooo           oooxoooooooooooooooooo
+        # >>> ML 5; MM 2: ooxooooooooooooooooxooo       oxoooooooooxo xoxooooooooo         oxoooxoooooooooooooooooo
+        # >>> ML15; MM 3: ooxooooooooooooooooxoooxo                                        oxoooxoooooooooooooooooo
+        # >>> (...)
+
+        return(sorted(F))
+
+
+    def get_split_palindromes(self, p, display_palindromes=False):
+        """Takes a palindrome object, and splits it into multiple.
+
+        The goal here is to make use of BLAST matches that may include too many mismatches or
+        gaps, and find long palindromic regions that still fit our criteria of maximum number
+        of mismatches and minimum length.
+
+        We go through the mismatch map, resolve regions that still could be good candidates
+        to be considered as palindromes, and return a list of curated palindrome objects.
+        """
+
+        split_palindromes = []
+        mismatch_map = []
+
+        for i in range(0, len(p.first_sequence)):
+            if p.first_sequence[i] == p.second_sequence[i]:
+                mismatch_map.append('o')
+            elif '-' in [p.first_sequence[i], p.second_sequence[i]]:
+                mismatch_map.append('-')
+            else:
+                mismatch_map.append('x')
+
+        mismatch_map = ''.join(mismatch_map)
+
+        # get all the best substrings by resolving the mismatch map
+        substrings = self.resolve_mismatch_map(mismatch_map,
+                                               min_palindrome_length=self.min_palindrome_length,
+                                               max_num_mismatches=self.max_num_mismatches,
+                                               min_mismatch_distance_to_first_base=self.min_mismatch_distance_to_first_base)
+        # if we don't get any substrings, it means it is time to go back
+        if not len(substrings):
+            return []
+
+        if anvio.DEBUG or display_palindromes or self.verbose:
+            self.progress.reset()
+            self.run.warning(None, header=f'SPLITTING A HIT [{p.first_start}:{p.first_end} / {p.first_start}:{p.second_end}]', lc='red')
+            self.run.info('1st sequence', p.first_sequence, mc='green')
+            self.run.info('ALN', p.midline, mc='green')
+            self.run.info('2nd sequence', p.second_sequence, mc='green')
+
+        # using these substrings we will generate a list of `Palindrome` objects
+        # to replace the mother object.
+        for start, end in substrings:
+            split_p = Palindrome()
+            split_p.sequence_name = p.sequence_name
+
+            split_p.first_start = p.first_start + start
+            split_p.first_end = p.first_start + end
+            split_p.first_sequence = p.first_sequence[start:end]
+
+            split_p.second_start = p.second_end - end
+            split_p.second_end = p.second_end - start
+            split_p.second_sequence = p.second_sequence[start:end]
+
+            if split_p.first_start > split_p.second_start:
+                # this can only be the case if we are splitting an in-place palindrome
+                # so we will not report the mirrored pair.
+                continue
+
+            split_p.method = p.method
+            split_p.midline = p.midline[start:end]
+            split_p.num_gaps = split_p.midline.count('-')
+            split_p.num_mismatches = split_p.midline.count('x')
+            split_p.length = end - start
+            split_p.distance = split_p.second_start - split_p.first_end
+
+            split_palindromes.append(split_p)
+
+            if anvio.DEBUG or display_palindromes or self.verbose:
+                self.progress.reset()
+                self.run.info_single(f"    Split [{start}:{end}]", nl_before=1, level=2, mc="red")
+                self.run.info('    1st sequence', split_p.first_sequence, mc='green')
+                self.run.info('    ALN', split_p.midline, mc='green')
+                self.run.info('    2nd sequence', split_p.second_sequence, mc='green')
+
+        return split_palindromes
+
+
+    def report(self):
+        num_sequences = 0
+        num_palindromes = 0
+        longest_palindrome = 0
+        most_distant_palindrome = 0
+
+        for sequence_name in self.palindromes:
+            num_sequences += 1
+            for palindrome in self.palindromes[sequence_name]:
+                if palindrome.length > longest_palindrome:
+                    longest_palindrome = palindrome.length
+                if palindrome.distance > most_distant_palindrome:
+                    most_distant_palindrome = palindrome.distance
+                num_palindromes += 1
+
+        if num_palindromes == 0:
+            self.run.warning(f"Anvi'o searched {P('sequence', num_sequences)} you have provided and found no "
+                             f"palindromes that satisfy your input criteria :/ No output file will be generated.")
+
+            return
+
+        self.run.warning(None, header="SEARCH RESULTS", lc="green")
+        self.run.info('Total number of sequences processed', num_sequences)
+        self.run.info('Total number of palindromes found', num_palindromes)
+        self.run.info('Longest palindrome', longest_palindrome)
+        self.run.info('Most distant palindrome', most_distant_palindrome)
+
+        headers = ["sequence_name", "length", "distance", "num_mismatches", "first_start", "first_end", "first_sequence", "second_start", "second_end", "second_sequence", "midline"]
+        if self.output_file_path:
+            with open(self.output_file_path, 'w') as output_file:
+                output_file.write('\t'.join(headers) + '\n')
+                for sequence_name in self.palindromes:
+                    for palindrome in self.palindromes[sequence_name]:
+                        output_file.write('\t'.join([f"{getattr(palindrome, h)}" for h in headers]) + '\n')
+
+            self.run.info('Output file', self.output_file_path, mc='green', nl_before=1, nl_after=1)
+
+
+@jit(nopython=True, cache=True)
+def _find_palindromes(seq, rev, m, N, D, Q):
+    L = len(seq)
+
+    palindrome_coords = List()
+    palindrome_coords.append((0,0,0,0))
+
+    i = 0
+    while i < L-m+1:
+        j = 0
+        while j < L-i-m:
+            skip_j_amount = 0
+            if rev[j] != seq[i]:
+                # The (i, j) scenario doesn't even _start_ with a match. Game over.
+                pass
+            else:
+                n, k = 0, 0
+                last_match = 0
+                is_palindrome = False
+                while True:
+                    if (i+k+1) > (L-j-k-1):
+                        # Stop of left has exceeded start of right.
+                        if is_palindrome:
+                            candidate = (i, i+last_match+1, L-j-last_match-1, L-j)
+                            candidate = trim_ends(candidate, seq, rev, Q)
+                            if candidate[1] - candidate[0] >= m:
+                                # After trimming, candidate still meets required length
+                                if not is_internal(candidate, palindrome_coords):
+                                    # candidate is internal to another palindrome.
+                                    palindrome_coords.append(candidate)
+                                    skip_j_amount = last_match
+                        break
+
+                    if rev[j+k] == seq[i+k]:
+                        last_match = k
+                    else:
+                        # mismatch
+                        n += 1
+
+                    if n > N:
+                        if is_palindrome:
+                            candidate = (i, i+last_match+1, L-j-last_match-1, L-j)
+                            candidate = trim_ends(candidate, seq, rev, Q)
+                            if candidate[1] - candidate[0] >= m:
+                                # After trimming, candidate still meets required length
+                                if not is_internal(candidate, palindrome_coords):
+                                    # candidate is internal to another palindrome.
+                                    palindrome_coords.append(candidate)
+                                    skip_j_amount = last_match
+                        break
+
+                    if last_match == m-1:
+                        is_palindrome = True
+
+                    if (L-j-k-1) - (i+k+1) < D:
+                        break
+
+                    k += 1
+            j += skip_j_amount + 1
+        i += 1
+
+    return palindrome_coords[1:]
+
+
+@jit(nopython=True, cache=True)
+def trim_ends(candidate, seq, rev, Q):
+    left_start, left_end, right_start, right_end = candidate
+    seq_left = seq[left_start:left_end]
+    seq_right = rev[::-1][right_start:right_end][::-1]
+    L = len(seq_left)
+
+    clip_left = 0
+    for q in range(Q+1):
+        if seq_left[q] != seq_right[q]:
+            clip_left = q + 1
+
+    clip_right = 0
+    for q in range(Q+1):
+        if seq_left[L-1-q] != seq_right[L-1-q]:
+            clip_right = q + 1
+
+    left_start += clip_left
+    right_end -= clip_left
+
+    left_end -= clip_right
+    right_start += clip_right
+
+    return left_start, left_end, right_start, right_end
+
+
+@jit(nopython=True, cache=True)
+def is_internal(candidate, palindromes):
+    a, b, c, d = candidate
+    for left_start, left_end, right_start, right_end in palindromes:
+        if a >= left_start and b <= left_end and c >= right_start and d <= right_end:
+            return True
+    else:
+        return False
+
+
+def _find_palindromes_test(seq, rev, m, N, D, Q):
+    L = len(seq)
+    palindrome_coords = [(0,0,0,0)]
+
+    i = 0
+    while i < L-m+1:
+        j = 0
+        while j < L-i-m:
+            skip_j_amount = 0
+            if rev[j] != seq[i]:
+                get_state(seq, i, j, 0)
+                print('No match between i and j')
+                # The (i, j) scenario doesn't even _start_ with a match. Game over.
+                pass
+            else:
+                n, k = 0, 0
+                last_match = 0
+                is_palindrome = False
+                while True:
+                    get_state(seq, i, j, k)
+                    if (i+k+1) > (L-j-k-1):
+                        print('Stop of left has exceeded start of right.')
+                        # Stop of left has exceeded start of right.
+                        if is_palindrome:
+                            candidate = (i, i+last_match+1, L-j-last_match-1, L-j)
+                            candidate = trim_ends(candidate, seq, rev, Q)
+                            if candidate[1] - candidate[0] >= m:
+                                print(candidate)
+                                # After trimming, candidate still meets required length
+                                if not is_internal(candidate, palindrome_coords):
+                                    print(candidate)
+                                    palindrome_coords.append(candidate)
+                                    skip_j_amount = last_match
+                                    print(f'Palindrome {candidate}.')
+                                else:
+                                    print(f'INTERNAL Palindrome {candidate}.')
+                        break
+
+                    if rev[j+k] == seq[i+k]:
+                        last_match = k
+                    else:
+                        # mismatch
+                        n += 1
+
+                    if n > N:
+                        print('Max # mismatches met. Calling quits')
+                        if is_palindrome:
+                            candidate = (i, i+last_match+1, L-j-last_match-1, L-j)
+                            candidate = trim_ends(candidate, seq, rev, Q)
+                            if candidate[1] - candidate[0] >= m:
+                                # After trimming, candidate still meets required length
+                                if not is_internal(candidate, palindrome_coords):
+                                    palindrome_coords.append(candidate)
+                                    skip_j_amount = last_match
+                                    print(f'Palindrome {candidate}.')
+                                else:
+                                    print(f'INTERNAL Palindrome {candidate}.')
+                        break
+
+                    if last_match == m-1:
+                        print('Min palindrome length met')
+                        is_palindrome = True
+
+                    if (L-j-k-1) - (i+k+1) < D:
+                        print('Min gap distance not satisfied')
+                        break
+
+                    k += 1
+            print(f'skipping j ahead {skip_j_amount}')
+            j += skip_j_amount + 1
+
+        i += 1
+
+    return palindrome_coords[1:]
+
+
+def get_state(seq, i, j, k):
+    print()
+    print(''.join([str(s) for s in seq]))
+    state = [' ']*len(seq)
+    state[i] = 'i'
+    state[len(seq)-1-j] = 'j'
+    state[k+i] = 'k'
+    print(''.join(state))
+
+
diff --git a/anvio/splitter.py b/anvio/splitter.py
index 231b9673a3..7cfb028d7f 100644
--- a/anvio/splitter.py
+++ b/anvio/splitter.py
@@ -705,7 +705,6 @@ def __init__(self, args, r=terminal.Run(), p=terminal.Progress()):
         self.use_hmm = A('use_hmm')
         self.hmm_sources = A('hmm_sources') or set([])
         self.annotation_sources = A('annotation_sources')
-        self.overwrite_output_destinations = A('overwrite_output_destinations')
         self.remove_partial_hits = A('remove_partial_hits')
         self.reverse_complement_if_necessary = not A('never_reverse_complement')
         self.include_fasta_output = True
@@ -1118,22 +1117,10 @@ def store_locus_as_contigs_db(self, contig_name, sequence, gene_calls, output_pa
         # we will generate a blank profile database at the end of this. let's get the directory
         # business sorted.
         profile_output_dir = output_path_prefix + '-PROFILE'
-        if os.path.exists(profile_output_dir):
-            if self.overwrite_output_destinations:
-                filesnpaths.shutil.rmtree(profile_output_dir)
-            else:
-                raise ConfigError("The directory %s exists, which kinda messes things up here. Either remove "
-                                  "it manually, or use the flag  --overwrite-output-destinations so anvi'o can "
-                                  "do it for you." % profile_output_dir)
+        filesnpaths.check_output_directory(profile_output_dir)
 
         # sort out the contigs database output path
-        if filesnpaths.is_file_exists(locus_output_db_path, dont_raise=True):
-            if self.overwrite_output_destinations:
-                os.remove(locus_output_db_path)
-            else:
-                raise ConfigError("There is already a contigs database at the output file path :( Either remove it first,\
-                                   or use the --overwrite-output-destinations flag to give anvi'o full authority to wipe\
-                                   your disk.")
+        filesnpaths.is_output_file_writable(locus_output_db_path, ok_if_exists=False)
 
         # do we need to reverse complement this guy? if yes, we will take care of the contigs sequence and
         # gene calls here, and remember this for later.
@@ -1175,7 +1162,11 @@ def store_locus_as_contigs_db(self, contig_name, sequence, gene_calls, output_pa
                                   skip_hierarchical_clustering=False,
                                   output_dir=profile_output_dir,
                                   sample_name=os.path.basename(output_path_prefix))
-        profiler.BAMProfiler(args, r=self.run_object)._run()
+        profiler.BAMProfiler(args, r=terminal.Run(verbose=False), p=self.progress)._run()
+
+        # while we are at it, let's add a default collection to the resulting blank profile
+        TablesForCollections(os.path.join(profile_output_dir, 'PROFILE.db'), run=terminal.Run(verbose=False), progress=self.progress).add_default_collection_to_db(contigs_db_path=locus_output_db_path)
+ 
 
         # so we have a contigs database! but there isn't much in it. the following where clause will
         # help us read from the tables of the original contigs database, and store it into the
diff --git a/anvio/structureops.py b/anvio/structureops.py
index 43b6842e06..398e510011 100755
--- a/anvio/structureops.py
+++ b/anvio/structureops.py
@@ -11,7 +11,14 @@
 import sqlite3
 import warnings
 import datetime
-import multiprocessing
+
+# multiprocess is a fork of multiprocessing that uses the dill serializer instead of pickle
+# using the multiprocessing module directly results in a pickling error in Python 3.10 which
+# goes like this:
+#
+#   >>> AttributeError: Can't pickle local object 'SOMEFUNCTION.<locals>.<lambda>' multiprocessing
+#
+import multiprocess as multiprocessing
 
 from Bio.PDB import DSSP, PDBParser
 
diff --git a/anvio/summarizer.py b/anvio/summarizer.py
index 3bd0a1dc7a..4baaa3f3c2 100644
--- a/anvio/summarizer.py
+++ b/anvio/summarizer.py
@@ -782,6 +782,8 @@ def init(self):
         # I am not sure whether this is the best place to do this,
         T = lambda x: 'True' if x else 'False'
 
+        J = lambda x: x in self.p_meta and self.p_meta[x] != None
+
         self.summary['basics_pretty'] = {'profile': [
                                                      ('Created on', self.p_meta['creation_date']),
                                                      ('Version', self.p_meta['version']),
@@ -795,7 +797,7 @@ def init(self):
                                                      ('SCVs profiled', T(self.p_meta['SCVs_profiled'])),
                                                      ('IN/DELs profiled', T(self.p_meta['INDELs_profiled'])),
                                                      ('Report variability full', T(self.p_meta['report_variability_full'])),
-                                                     ('Min coverage for variability', humanize_n(int(self.p_meta['min_coverage_for_variability']))),
+                                                     ('Min coverage for variability', humanize_n(int(self.p_meta['min_coverage_for_variability'])) if J('min_coverage_for_variability') else 'NA'),
                                                     ],
                                          'contigs': [
                                                         ('Project name', self.a_meta['project_name']),
diff --git a/anvio/synteny.py b/anvio/synteny.py
index 74240f58bb..d11311529e 100644
--- a/anvio/synteny.py
+++ b/anvio/synteny.py
@@ -13,14 +13,10 @@
 from collections import Counter
 
 import anvio
-import anvio.tables as t
-import anvio.dbops as dbops
 import anvio.utils as utils
-import anvio.panops as panops
 import anvio.terminal as terminal
 import anvio.filesnpaths as filesnpaths
 import anvio.genomestorage as genomestorage
-import anvio.genomedescriptions as genomedescriptions
 
 from anvio.dbops import PanDatabase
 from anvio.errors import ConfigError
@@ -80,6 +76,7 @@ def __init__(self, args, run=terminal.Run(), progress=terminal.Progress(), skip_
             self.annotation_sources = [self.annotation_source, 'gene_clusters']
 
         if self.pan_db_path:
+            filesnpaths.is_file_exists(self.pan_db_path)
             self.pan_db = PanDatabase(self.pan_db_path)
 
             self.p_meta = self.pan_db.meta
@@ -218,7 +215,6 @@ def populate_ngram_attributes(self):
 
         self.run.info_single("What do we say to loci that appear to have no coherent synteny patterns...? Not today! ⚔️", nl_before=1, nl_after=1)
 
-        genes_and_functions_list = []
         for contigs_db_name in self.genomes_storage.get_genomes_dict():
 
             # Get list of genes-callers-ids
diff --git a/anvio/tables/__init__.py b/anvio/tables/__init__.py
index 4a26cc2376..c11cc54bf5 100644
--- a/anvio/tables/__init__.py
+++ b/anvio/tables/__init__.py
@@ -15,16 +15,15 @@
 
 
 contigs_db_version = "20"
-profile_db_version = "37"
+profile_db_version = "38"
 genes_db_version = "6"
-pan_db_version = "15"
+pan_db_version = "16"
 auxiliary_data_version = "2"
 structure_db_version = "2"
 genomes_storage_vesion = "7"
 trnaseq_db_version = "2"
-workflow_config_version = "2"
-metabolic_modules_db_version = "2"
-genome_view_db_version = "1"
+workflow_config_version = "3"
+metabolic_modules_db_version = "4"
 
 versions_for_db_types = {'contigs': contigs_db_version,
                          'profile': profile_db_version,
@@ -32,7 +31,6 @@
                          'structure': structure_db_version,
                          'pan': pan_db_version,
                          'genomestorage': genomes_storage_vesion,
-                         'genome-view': genome_view_db_version,
                          'auxiliary data for coverages': auxiliary_data_version,
                          'trnaseq': trnaseq_db_version,
                          'config': workflow_config_version,
@@ -140,6 +138,17 @@
 gene_level_inseq_stats_table_structure = ['gene_callers_id', 'sample_name', 'mean_coverage', 'insertions', 'insertions_normalized', 'mean_disruption', 'below_disruption', 'gene_coverage_values_per_nt']
 gene_level_inseq_stats_table_types     = [    'numeric'    ,     'text'   ,    'numeric'   ,  'numeric'  ,        'numeric'       ,      'numeric'   ,      'numeric'    ,              'blob'          ]
 
+####################################################################################################
+#
+#     ADDITIONAL TABLE DESCRIPTIONS FOR THE TRNASEQ VARIANT OF THE CONTIGS DATABASE
+#
+####################################################################################################
+
+trna_seed_feature_table_name            = 'trna_feature'
+trna_seed_feature_table_structure       = ['gene_callers_id'] + list(itertools.chain(*zip([f + '_start' for f in TRNA_FEATURE_NAMES[: -1]], [f + '_stop' for f in TRNA_FEATURE_NAMES[: -1]]))) + ['alpha_start', 'alpha_stop', 'beta_start', 'beta_stop']
+trna_seed_feature_table_types           = ['gene_callers_id'] + ['str'] * len(TRNA_FEATURE_NAMES[: -1]) * 2                                                                                    + ['numeric'    , 'numeric'   , 'numeric'   , 'numeric']
+
+
 ####################################################################################################
 #
 #     TABLE DESCRIPTIONS FOR THE PROFILE DATABASE
@@ -269,13 +278,17 @@
 #
 ####################################################################################################
 
-module_table_name = "kegg_modules"
-module_table_structure = ['module', 'data_name', 'data_value', 'data_definition', 'line']
-module_table_types     = [ 'str'  ,   'str'    ,     'str'   ,       'str'      ,'numeric' ]
+module_table_name       = "modules"
+module_table_structure  = ['module', 'data_name', 'data_value', 'data_definition', 'line']
+module_table_types      = [ 'str'  ,   'str'    ,     'str'   ,       'str'      ,'numeric' ]
 
-pathway_table_name = "kegg_pathway_maps"
+pathway_table_name      = "kegg_pathway_maps"
 pathway_table_structure = ['pathway_map', 'data_name', 'data_value', 'data_definition', 'line']
-pathway_table_types     = [ 'str'  ,   'str'    ,     'str'   ,       'str'      ,'numeric' ]
+pathway_table_types     = [ 'str'       ,   'str'    ,     'str'   ,       'str'      ,'numeric' ]
+
+brite_table_name        = "brite_hierarchies"
+brite_table_structure   = ['hierarchy_accession', 'hierarchy_name', 'ortholog_accession', 'ortholog_name', 'categorization']
+brite_table_types       = [        'str'        ,       'str'     ,         'str'       ,      'str'     ,      'str'      ]
 
 ####################################################################################################
 #
@@ -372,6 +385,7 @@
                                   amino_acid_additional_data_table_name: True,
                                   gene_level_coverage_stats_table_name: True,
                                   gene_level_inseq_stats_table_name: True,
+                                  trna_seed_feature_table_name: False,
                                   item_additional_data_table_name: True,
                                   layer_additional_data_table_name: True,
                                   variable_codons_table_name: True,
@@ -404,8 +418,10 @@
                                   gene_info_table_name: False,
                                   genome_gene_function_calls_table_name: True,
                                   pdb_data_table_name: False,
+                                  'kegg_modules': False,        # no longer in use as of modules db v3
                                   module_table_name: False,
                                   pathway_table_name: False,
+                                  brite_table_name: False,
                                   trnaseq_sequences_table_name: False,
                                   trnaseq_feature_table_name: False,
                                   trnaseq_unconserved_table_name: False,
diff --git a/anvio/tables/collections.py b/anvio/tables/collections.py
index 0dcff8f79d..02d8b5b688 100644
--- a/anvio/tables/collections.py
+++ b/anvio/tables/collections.py
@@ -208,3 +208,33 @@ def process_contigs(self, collection_name, collection_dict):
             db_entries_for_contigs.append(tuple([collection_name, contig_name, split_to_bin_name[split_name]]))
 
         return db_entries_for_contigs
+
+
+    def add_default_collection_to_db(self, contigs_db_path=None, collection_name="DEFAULT", bin_name="EVERYTHING"):
+        """A helper function to add a default collection to a given database that describes all items in a single bin"""
+
+        utils.is_pan_or_profile_db(self.db_path)
+
+        if utils.get_db_type(self.db_path) == 'profile' and utils.is_blank_profile(self.db_path):
+            if not contigs_db_path:
+                raise ConfigError("OK, so anvi'o actually can't add a 'default' collection into a 'blank profile database' such as "
+                                  "yours). The main reason behind this is that a blank profile databases do not know about "
+                                  "the items names they pretend to know. Why? Well, it is a long story, BUT FORTUNATELY, you can "
+                                  "recover from this by providing the contigs database your blank profile is associated with, in "
+                                  "which case things will likely work.")
+            else:
+                utils.is_profile_db_and_contigs_db_compatible(self.db_path, contigs_db_path)
+                contigs_db = db.DB(contigs_db_path, t.contigs_db_version)
+                all_items = contigs_db.get_single_column_from_table(t.splits_info_table_name, 'split')
+                contigs_db.disconnect()
+        else:
+            if contigs_db_path:
+                run.warning("You should provide a contigs database to this script only if you are working with an anvi'o blank "
+                            "profile database, which doesn't seem to be the case here. Anvi'o did think about raising an error "
+                            "and killing your awesome analysis on its track in the name of being explicit, but then it decided "
+                            "to ignore it for this once. Basically, the contigs database you provided will not be utilized for "
+                            "anything.")
+
+            all_items = utils.get_all_item_names_from_the_database(self.db_path)
+
+        self.append(collection_name, {bin_name: all_items})
diff --git a/anvio/tables/hmmhits.py b/anvio/tables/hmmhits.py
index fa1ff2089e..071d4b6fdf 100644
--- a/anvio/tables/hmmhits.py
+++ b/anvio/tables/hmmhits.py
@@ -21,6 +21,7 @@
 from anvio.dbops import ContigsSuperclass
 from anvio.errors import ConfigError, StupidHMMError
 from anvio.tables.genecalls import TablesForGeneCalls
+from anvio.tables.genefunctions import TableForGeneFunctions
 
 
 __author__ = "Developers of anvi'o (see AUTHORS.txt)"
@@ -40,13 +41,14 @@
 
 class TablesForHMMHits(Table):
     def __init__(self, db_path, num_threads_to_use=1, run=run, progress=progress, initializing_for_deletion=False, just_do_it=False,
-                 hmm_program_to_use='hmmscan', hmmer_output_directory=None, get_domain_table_output=False):
+                 hmm_program_to_use='hmmscan', hmmer_output_directory=None, get_domain_table_output=False, add_to_functions_table=False):
         self.num_threads_to_use = num_threads_to_use
         self.db_path = db_path
         self.just_do_it = just_do_it
         self.hmm_program = hmm_program_to_use or 'hmmscan'
         self.hmmer_output_dir = hmmer_output_directory
         self.hmmer_desired_output = ('table', 'domtable') if get_domain_table_output else 'table'
+        self.add_to_functions_table = add_to_functions_table
 
         utils.is_contigs_db(self.db_path)
         filesnpaths.is_program_exists(self.hmm_program)
@@ -77,28 +79,42 @@ def __init__(self, db_path, num_threads_to_use=1, run=run, progress=progress, in
 
 
     def check_sources(self, sources):
-        sources_in_db = list(hmmops.SequencesForHMMHits(self.db_path).hmm_hits_info.keys())
-
-        if 'Ribosomal_RNAs' in sources_in_db and len([s for s in sources if s.startswith('Ribosomal_RNA_')]):
-            raise ConfigError("Here is one more additional step we need to you take care of before we can go forward: Your contigs database "
-                              "already contains HMMs from an older `Ribosomal_RNAs` model anvi'o no longer uses AND you are about to run "
-                              "its newer models that do the same thing (but better). Since Ribosomal RNA models add new gene calls to the "
-                              "database, running newer models without first cleaning up the old ones will result in duplication of gene calls "
-                              "as examplified here: https://github.com/merenlab/anvio/issues/1598. Anvi'o could've removed the `Ribosomal_RNAs` "
-                              "model for you automatically, but the wisdom tells us that the person who passes the sentence should swing the "
-                              "sword. Here it is for your grace: \"anvi-delete-hmms -c CONTIGS.db --hmm-source Ribosomal_RNAs\".")
-
-        sources_need_to_be_removed = set(sources.keys()).intersection(sources_in_db)
-
-        if len(sources_need_to_be_removed):
-            if self.just_do_it:
-                for source_name in sources_need_to_be_removed:
-                    self.remove_source(source_name)
-            else:
-                raise ConfigError("Some of the HMM sources you wish to run on this database are already in the database and anvi'o "
-                                  "refuses to overwrite them without your explicit input. You can either use `anvi-delete-hmms` "
-                                  "to remove them first, or run this program with `--just-do-it` flag so anvi'o would remove all "
-                                  "for you. Here are the list of HMM sources that need to be removed: '%s'." % (', '.join(sources_need_to_be_removed)))
+
+        if self.add_to_functions_table: # check that source is not already in gene_functions table
+            gene_function_sources_in_db = db.DB(self.db_path, utils.get_required_version_for_db(self.db_path)).get_meta_value('gene_function_sources')
+            sources_in_db = set(gene_function_sources_in_db.split(',') if gene_function_sources_in_db else [])
+            sources_need_to_be_removed = set(sources.keys()).intersection(sources_in_db)
+
+            if len(sources_need_to_be_removed):
+                source_string = ', '.join(sources_need_to_be_removed)
+                raise ConfigError("Some of the HMM sources are already in the gene functions table in the database and anvi'o "
+                                  "doesn't want to overwrite them. If YOU want to overwrite them, however, (because you do you, "
+                                  "friend) you can do that by "
+                                  "running `anvi-delete-functions` first, and then re-running this program. Here are the sources "
+                                  f"that you would need to delete: {source_string}")
+        else: # default checks for hmm_hits table
+            sources_in_db = list(hmmops.SequencesForHMMHits(self.db_path).hmm_hits_info.keys())
+
+            if 'Ribosomal_RNAs' in sources_in_db and len([s for s in sources if s.startswith('Ribosomal_RNA_')]):
+                raise ConfigError("Here is one more additional step we need to you take care of before we can go forward: Your contigs database "
+                                  "already contains HMMs from an older `Ribosomal_RNAs` model anvi'o no longer uses AND you are about to run "
+                                  "its newer models that do the same thing (but better). Since Ribosomal RNA models add new gene calls to the "
+                                  "database, running newer models without first cleaning up the old ones will result in duplication of gene calls "
+                                  "as examplified here: https://github.com/merenlab/anvio/issues/1598. Anvi'o could've removed the `Ribosomal_RNAs` "
+                                  "model for you automatically, but the wisdom tells us that the person who passes the sentence should swing the "
+                                  "sword. Here it is for your grace: \"anvi-delete-hmms -c CONTIGS.db --hmm-source Ribosomal_RNAs\".")
+
+            sources_need_to_be_removed = set(sources.keys()).intersection(sources_in_db)
+
+            if len(sources_need_to_be_removed):
+                if self.just_do_it:
+                    for source_name in sources_need_to_be_removed:
+                        self.remove_source(source_name)
+                else:
+                    raise ConfigError("Some of the HMM sources you wish to run on this database are already in the database and anvi'o "
+                                      "refuses to overwrite them without your explicit input. You can either use `anvi-delete-hmms` "
+                                      "to remove them first, or run this program with `--just-do-it` flag so anvi'o would remove all "
+                                      "for you. Here are the list of HMM sources that need to be removed: '%s'." % (', '.join(sources_need_to_be_removed)))
 
 
     def hmmpress_sources(self, sources, tmp_dir):
@@ -156,13 +172,13 @@ def populate_search_tables(self, sources={}):
             alphabet, context = utils.anvio_hmm_target_term_to_alphabet_and_context(target)
 
             if not self.genes_are_called and context != "CONTIG":
-                raise ConfigError("You are in trouble. The gene calling was skipped for this contigs database, yet anvi'o asked to run an "
-                                  "HMM profile that wishes to operate on %s context using the %s alphabet. It is not OK. You still could run "
-                                  "HMM profiles that does not require gene calls to be present (such as the HMM profile that identifies Ribosomal "
-                                  "RNAs in contigs, but for that you would have to explicitly ask for it by using the additional parameter "
-                                  "'--installed-hmm-profile PROFILE_NAME_HERE')." % (context, alphabet))
+                raise ConfigError(f"You are in trouble. The gene calling was skipped for this contigs database, yet anvi'o asked to run an "
+                                  f"HMM profile that wishes to operate on {context} context using the {alphabet} alphabet. It is not OK. You "
+                                  f"still could run HMM profiles that does not require gene calls to be present (such as the HMM profile that "
+                                  f"identifies Ribosomal RNAs in contigs, but for that you would have to explicitly ask for it by using the "
+                                  f"additional parameter '--installed-hmm-profile PROFILE_NAME_HERE').")
 
-            self.run.info('Alphabet/context target found', '%s:%s' % (alphabet, context))
+            self.run.info('Alphabet/context target found', f"{alphabet}:{context}")
 
             if context == 'CONTIG' and alphabet != 'RNA':
                 have_hmm_sources_with_non_RNA_contig_context =True
@@ -173,22 +189,33 @@ class Args: pass
             contigs_db = ContigsSuperclass(args, r=terminal.Run(verbose=False))
 
             if context == 'GENE':
-                target_files_dict['%s:GENE' % alphabet] = os.path.join(tmp_directory_path, '%s_gene_sequences.fa' % alphabet)
-                contigs_db.get_sequences_for_gene_callers_ids(output_file_path=target_files_dict['%s:GENE' % alphabet],
+                target_file_path = os.path.join(tmp_directory_path, f'{alphabet}_gene_sequences.fa')
+
+                contigs_db.get_sequences_for_gene_callers_ids(output_file_path=target_file_path,
                                                               simple_headers=True,
                                                               rna_alphabet=True if alphabet=='RNA' else False,
                                                               report_aa_sequences=True if alphabet=='AA' else False)
+
+                target_files_dict[f'{alphabet}:GENE'] = target_file_path
             elif context == 'CONTIG':
                 if alphabet == 'AA':
                     raise ConfigError("You are somewhere you shouldn't be. You came here because you thought it would be OK "
                                       "to ask for AA sequences in the CONTIG context. The answer to that is 'no, thanks'. If "
                                       "you think this is dumb, please let us know.")
                 else:
-                    target_files_dict['%s:CONTIG' % alphabet] = os.path.join(tmp_directory_path, '%s_contig_sequences.fa' % alphabet)
+                    target_file_path = os.path.join(tmp_directory_path, f'{alphabet}_contig_sequences.fa')
+
                     utils.export_sequences_from_contigs_db(self.db_path,
-                                                           target_files_dict['%s:CONTIG' % alphabet],
+                                                           target_file_path,
                                                            rna_alphabet=True if alphabet=='RNA' else False)
 
+                    target_files_dict[f'{alphabet}:CONTIG'] = target_file_path
+
+        # now we know our sequences
+        self.run.info('Target sequences determined',
+                      '; '.join([f"{pp(utils.get_num_sequences_in_fasta(file_path))} sequences for {target}" \
+                                    for target, file_path in target_files_dict.items()]))
+
         if have_hmm_sources_with_non_RNA_contig_context:
             # in that case, we should remind people what's up.
             self.run.warning("The HMM profiles that are about to be run includes at least one HMM profile that runs on "
@@ -210,10 +237,10 @@ class Args: pass
             alphabet, context = utils.anvio_hmm_target_term_to_alphabet_and_context(sources[source]['target'])
 
             if alphabet in ['DNA', 'RNA'] and 'domtable' in self.hmmer_desired_output:
-                raise ConfigError("Domain table output was requested (probably with the --get-domtable-output flag, "
-                                  "does that look familiar?) but unfortunately this option is incompatible with the "
+                raise ConfigError(f"Domain table output was requested (probably with the --get-domtable-output flag, "
+                                  f"does that look familiar?) but unfortunately this option is incompatible with the "
                                   f"current source of HMM profiles, {source}, because this source uses a nucleotide "
-                                  "alphabet.")
+                                  f"alphabet.")
 
             kind_of_search = sources[source]['kind']
             domain = sources[source]['domain']
@@ -282,7 +309,10 @@ class Args: pass
                                                                                                            search_results_dict,
                                                                                                            skip_amino_acid_sequences=True)
 
-            self.append(source, reference, kind_of_search, domain, all_genes_searched_against, search_results_dict)
+            if self.add_to_functions_table: # add to gene_functions table (upon request)
+                self.append_to_gene_functions_table(source, search_results_dict)
+            else:                           # add to hmm_hits table (default)
+                self.append_to_hmm_hits_table(source, reference, kind_of_search, domain, all_genes_searched_against, search_results_dict)
 
 
         # FIXME: I have no clue why importing the anvio module is necessary at this point,
@@ -399,7 +429,28 @@ def remove_source(self, source):
                         % (len(gene_caller_ids_to_remove), ', '.join(tables_with_gene_callers_id)))
 
 
-    def append(self, source, reference, kind_of_search, domain, all_genes, search_results_dict):
+    def append_to_gene_functions_table(self, source, search_results_dict):
+        """Append custom HMM hits to the gene functions table in the contigs database."""
+
+        # get an instance of gene functions table
+        gene_function_calls_table = TableForGeneFunctions(self.db_path, self.run, self.progress)
+
+        # first we massage the hmm_hits dictionary to match expected input for the gene_functions table
+        if search_results_dict:
+            for entry_id in search_results_dict:
+                hit = search_results_dict[entry_id]
+                hit['source'] = source
+                hit['accession'] = hit['gene_hmm_id']
+                hit['function'] = hit['gene_name']
+
+            gene_function_calls_table.create(search_results_dict)
+        else:
+            self.run.warning("There are no hits to add to the database. Returning empty handed, "
+                             f"but still adding {source} as a functional source.")
+            gene_function_calls_table.add_empty_sources_to_functional_sources({source})
+
+
+    def append_to_hmm_hits_table(self, source, reference, kind_of_search, domain, all_genes, search_results_dict):
         """Append a new HMM source in the contigs database."""
 
         # just to make 100% sure.
diff --git a/anvio/tables/miscdata.py b/anvio/tables/miscdata.py
index b9b1f64f2b..f17794aa0b 100644
--- a/anvio/tables/miscdata.py
+++ b/anvio/tables/miscdata.py
@@ -26,6 +26,9 @@
 __status__ = "Development"
 
 
+pp = terminal.pretty_print
+
+
 class AdditionalAndOrderDataBaseClass(Table, object):
     """This is a base class for common operations between order and additional data classes."""
 
@@ -71,6 +74,10 @@ def __init__(self, args):
         self.skip_check_names = A('skip_check_names')
         self.target_data_group = self.target_data_group_set_by_user or 'default'
 
+        # optional arguments to keep track of
+        self.contigs_mode = A('contigs_mode')
+        self.contigs_db_path = A('contigs_db')
+
         if not self.db_path:
             raise ConfigError("The AdditionalAndOrderDataBaseClass is inherited with an args object that did not "
                               "contain any database :/ Even though any of the following argument names would "
@@ -744,6 +751,27 @@ def get(self, additional_data_keys_requested=[]):
         return additional_data_keys, d
 
 
+    def update_input_data_dict_with_split_names(self, data_dict):
+        """Takes data dict with contig names, turns it into data dict with split names"""
+
+        if not self.contigs_db_path:
+            raise ConfigError("Anvi'o was about to attempt to translate item names in the additonal data to "
+                              "split names (probably due to the `--contigs-mode`), yet, the environment does not "
+                              "seem to know about a contigs database. Did you forget to provide a contigs-db? "
+                              "Because it is kind of necessary :/")
+
+        utils.is_profile_db_and_contigs_db_compatible(self.db_path, self.contigs_db_path)
+
+        contig_name_to_split_names_dict = utils.get_contig_name_to_splits_dict(self.contigs_db_path)
+
+        new_data_dict = {}
+        for contig_name in data_dict:
+            for split_name in contig_name_to_split_names_dict[contig_name]:
+                new_data_dict[split_name] = data_dict[contig_name]
+
+        return new_data_dict
+
+
     def add(self, data_dict, data_keys_list, skip_check_names=False):
         """Function to add data into the item additional data table.
 
@@ -773,6 +801,11 @@ def add(self, data_dict, data_keys_list, skip_check_names=False):
                               "check your flags to make sure you are targeting the right data table. If you are a programmer, "
                               "you are fired." % (self.target_table, self.db_type))
 
+        # here we will check for a name conversion request between contig names to split names.
+        # this is only necessery if we are adding `items` data and if we are in contigs mode.
+        if self.target_table == 'items' and self.contigs_mode:
+            data_dict = self.update_input_data_dict_with_split_names(data_dict)
+
         self.data_dict_sanity_check(data_dict, data_keys_list=data_keys_list)
 
         self.run.warning(None, "New data for '%s' in data group '%s'" % (self.target_table, self.target_data_group), lc="yellow")
@@ -925,6 +958,7 @@ def check_names(self, data_dict):
         except:
             pass
 
+        # nothing in db?
         if not len(items_in_db):
             raise ConfigError("No item names found in your target database. This is normal if you are working with "
                               "a blank profile database. But in that case, you need to include `skip_check_names=True` "
@@ -932,23 +966,29 @@ def check_names(self, data_dict):
                               "code only accessible thorugh API calls, if you are a user and seeing this please get in "
                               "touch with anvi'o developers.")
 
+        # there are items in data but not in db?
         items_in_data_but_not_in_db = items_in_data.difference(items_in_db)
         if len(items_in_data_but_not_in_db):
-            raise ConfigError("Well. %d of %d item names in your additional data are only in your data (which "
-                              "that they are not in the %s database you are working with (which means bad news)). "
-                              "Since there is no reason to add additional data for items that do not exist in your "
-                              "database, anvi'o will stop you right there. Please fix your data and come again. In "
-                              "case you want to see a random item that is only in your data, here is one: %s. Stuff "
-                              "in your db looks like this: %s." \
-                                    % (len(items_in_data_but_not_in_db), len(items_in_data), self.db_type, \
-                                       items_in_data_but_not_in_db.pop(),
-                                       items_in_db.pop() if items_in_db else "No entries found in database"))
+            if len(items_in_data_but_not_in_db) == len(items_in_data):
+                items_desc_text = (f"None of the {pp(len(items_in_data))} item names in your additional data are matching "
+                                   f"to those that are in the {self.db_type} you are working with")
+            else:
+                items_desc_text = (f"{pp(len(items_in_data_but_not_in_db))} of {pp(len(items_in_data))} entries in your "
+                                   f"additional data seem to be ONLY in your additional data, and not in your database")
+
+            raise ConfigError(f"Well. {items_desc_text} :/ Since there is no reason to add additional data for items "
+                              f"that do not exist in your database, anvi'o will stop you right there. Please fix your "
+                              f"data and come again. In case you want to see a random item that is only in your data, "
+                              f"here is one: '{items_in_data_but_not_in_db.pop()}'. Item names in your db generally "
+                              f"looks like this: '{items_in_db.pop()}'. If you are working with contigs names instead "
+                              f"of split names, perhaps you need the `--contigs-mode` flag?")
 
+        # there are items in db but not in data?
         items_in_db_but_not_in_data = items_in_db.difference(items_in_data)
         if len(items_in_db_but_not_in_data):
-            self.run.warning("Your input contains additional data for only %d of %d total number of items in your %s "
-                             "database. Just wanted to make sure you know what's up, but we cool." \
-                                % (len(items_in_db) - len(items_in_db_but_not_in_data), len(items_in_db), self.db_type))
+            self.run.warning(f"Your input contains additional data for only {pp(len(items_in_db) - len(items_in_db_but_not_in_data))} "
+                             f"of {pp(len(items_in_db))} total number of items in your {self.db_type} database. "
+                             f"Just wanted to make sure you know what's up, but we cool.")
 
 
 class TableForLayerAdditionalData(AdditionalDataBaseClass):
diff --git a/anvio/tables/tableops.py b/anvio/tables/tableops.py
index 506d4b49d2..8621a17b6d 100755
--- a/anvio/tables/tableops.py
+++ b/anvio/tables/tableops.py
@@ -8,10 +8,8 @@
 import anvio
 import anvio.db as db
 import anvio.tables as t
-import anvio.fastalib as u
 import anvio.utils as utils
 import anvio.terminal as terminal
-import anvio.filesnpaths as filesnpaths
 
 from anvio.errors import ConfigError
 
@@ -57,8 +55,6 @@ def __init__(self, db_path, version, run=terminal.Run(), progress=terminal.Progr
         self.version = version
         self.next_available_id = {}
 
-        self.splits_info = None
-        self.contigs_info = None
         self.split_length = None
         self.genes_are_called = None
 
@@ -67,19 +63,19 @@ def __init__(self, db_path, version, run=terminal.Run(), progress=terminal.Progr
 
         database = db.DB(self.db_path, version)
         self.db_type = database.get_meta_value('db_type')
-
         if not simple and self.db_type == 'contigs':
             # FIXME: a better design is required. the salient point is, "Table" must serve for both profile db
             # and contigs db calls.
             self.split_length = database.get_meta_value('split_length')
-            self.genes_are_called = database.get_meta_value('genes_are_called')
             self.contigs_info = database.get_table_as_dict(t.contigs_info_table_name, string_the_key=True)
             self.splits_info = database.get_table_as_dict(t.splits_info_table_name)
-            self.contig_name_to_splits = utils.get_contig_name_to_splits_dict(self.splits_info, self.contigs_info)
+            self.genes_are_called = database.get_meta_value('genes_are_called')
             self.gene_calls_dict = None
-
         database.disconnect()
 
+        if not simple and self.db_type == 'contigs':
+            self.contig_name_to_splits = utils.get_contig_name_to_splits_dict(self.db_path)
+
 
     def next_id(self, table):
         if table not in self.next_available_id:
diff --git a/anvio/taxonomyops/__init__.py b/anvio/taxonomyops/__init__.py
index 5de3add2bc..45f98c1017 100644
--- a/anvio/taxonomyops/__init__.py
+++ b/anvio/taxonomyops/__init__.py
@@ -12,7 +12,14 @@
 import argparse
 import numpy as np
 import pandas as pd
-import multiprocessing
+
+# multiprocess is a fork of multiprocessing that uses the dill serializer instead of pickle
+# using the multiprocessing module directly results in a pickling error in Python 3.10 which
+# goes like this:
+#
+#   >>> AttributeError: Can't pickle local object 'SOMEFUNCTION.<locals>.<lambda>' multiprocessing
+#
+import multiprocess as multiprocessing
 
 from collections import OrderedDict, Counter
 
diff --git a/anvio/tests/run_all_tests.sh b/anvio/tests/run_all_tests.sh
index 9ae89f0d8f..af9bf60693 100755
--- a/anvio/tests/run_all_tests.sh
+++ b/anvio/tests/run_all_tests.sh
@@ -5,21 +5,13 @@ source 00.sh
 SETUP_WITH_OUTPUT_DIR $1 $2
 #####################################
 
-INFO "Initializing raw BAM files"
-# init raw bam files.
-for f in 01 02 03
-do
-    anvi-init-bam $files/SAMPLE-$f-RAW.bam \
-                  --output-file $output_dir/SAMPLE-$f.bam
-    echo
-done
-
 INFO "Reformat the contigs FASTA"
 anvi-script-reformat-fasta $files/contigs.fa -o $output_dir/contigs.fa \
                                              -l 0 \
                                              --simplify-names \
                                              --prefix test_prefix \
-                                             --report $output_dir/contigs-reformat-report.txt
+                                             --report $output_dir/contigs-reformat-report.txt \
+                                             --no-progress
 SHOW_FILE $output_dir/contigs-reformat-report.txt
 
 # we first generate an empty contigs database using contigs.fa (keep in mind that 'contigs.fa'
@@ -30,86 +22,138 @@ anvi-gen-contigs-database -f $files/contigs.fa \
                           -o $output_dir/CONTIGS.db \
                           -L 1000 \
                           --external-gene-calls $files/example_external_gene_calls.txt \
-                          --project-name 'Contigs DB with external gene calls'
+                          --project-name 'Contigs DB with external gene calls' \
+                          --no-progress
 rm -rf $output_dir/CONTIGS.db
 
 INFO "Generating a new contigs database with the default gene caller"
 anvi-gen-contigs-database -f $files/contigs.fa \
                           -o $output_dir/CONTIGS.db \
                           -L 1000 \
-                          --project-name "Contigs DB for anvi'o self-tests"
+                          --project-name "Contigs DB for anvi'o self-tests" \
+                          --no-progress
 
 INFO "Displaying the info for the contigs databse"
 anvi-db-info $output_dir/CONTIGS.db
 
+INFO "Searching for palindromes in a DNA sequence"
+anvi-search-palindromes --dna-sequence TGTGAGTAGCTGCGGCGTCCGCGACCGGCGGGCGGCATGCATTGACGACACGCTCCGGGCCGCTCAGGCCAAGTCTTTACGGTCTTACAACGCATGCCGCCCACCGGTCGCTCGTAGGTGCGGAAAAGTTATTTGAGATAA \
+                        --min-distance 0 \
+                        --max-num-mismatches 2 \
+                        --no-progress
+
+INFO "Searching for palindromes in a FASTA file"
+anvi-search-palindromes -f $output_dir/contigs.fa \
+                        --max-num-mismatches 2 \
+                        --min-palindrome-length 20 \
+                        --blast-word-size 10 \
+                        --output-file $output_dir/PALINDROMES-IN-FASTA.txt \
+                        --no-progress
+SHOW_FILE $output_dir/PALINDROMES-IN-FASTA.txt
+
+INFO "Searching for palindromes in a contigs database"
+anvi-search-palindromes -c $output_dir/CONTIGS.db \
+                        --max-num-mismatches 2 \
+                        --min-palindrome-length 20 \
+                        --blast-word-size 10 \
+                        --output-file $output_dir/PALINDROMES-IN-CONTIGS-DB.txt \
+                        --no-progress
+SHOW_FILE $output_dir/PALINDROMES-IN-CONTIGS-DB.txt
+
+
+INFO "Initializing raw BAM files"
+# init raw bam files.
+for f in 01 02 03
+do
+    anvi-init-bam $files/SAMPLE-$f-RAW.bam \
+                  --output-file $output_dir/SAMPLE-$f.bam \
+                  --no-progress
+    echo
+done
+
+
 INFO "Rapid profiling of BAM files with anvi-profile blitz in gene mode"
 anvi-profile-blitz $output_dir/*bam \
                    -c $output_dir/CONTIGS.db \
                    --gene-mode \
-                   -o $output_dir/PROFILE-BLITZ-GENES.txt
+                   -o $output_dir/PROFILE-BLITZ-GENES.txt \
+                   --no-progress
 
 INFO "Rapid profiling of BAM files with anvi-profile blitz in contig mode"
 anvi-profile-blitz $output_dir/*bam \
                    -c $output_dir/CONTIGS.db \
                    --gene-mode \
-                   -o $output_dir/PROFILE-BLITZ-CONTIGS.txt
+                   -o $output_dir/PROFILE-BLITZ-CONTIGS.txt \
+                   --no-progress
 SHOW_FILE $output_dir/PROFILE-BLITZ-CONTIGS.txt
 
 INFO "Setting a new self value in the self table of the contigs databse"
 anvi-db-info $output_dir/CONTIGS.db \
              --self-key 'a_new_test_key' \
              --self-value "a new test value" \
-             --just-do-it
+             --just-do-it \
+             --no-progress
 
 INFO "Exporting gene calls from the contigs database"
 anvi-export-gene-calls -c $output_dir/CONTIGS.db \
                        --gene-caller prodigal \
-                       -o $output_dir/exported_gene_calls.txt
+                       -o $output_dir/exported_gene_calls.txt \
+                       --no-progress
 
 INFO "Exporting contig sequences from the contigs database"
 anvi-export-contigs -c $output_dir/CONTIGS.db \
-                    -o $output_dir/exported_contig_sequences.fa
+                    -o $output_dir/exported_contig_sequences.fa \
+                    --no-progress
 
 INFO "Exporting contig sequences from the contigs database in 'splits mode'"
 anvi-export-contigs -c $output_dir/CONTIGS.db \
                     -o $output_dir/exported_split_sequences.fa \
-                    --splits-mode
+                    --splits-mode \
+                    --no-progress
 
 INFO "Searching for sequence motifs in the contigs database"
 anvi-search-sequence-motifs -c $output_dir/CONTIGS.db \
                             --motifs ATCG,TAAAT \
-                            --output-file $output_dir/sequence-motifs-in-contigs.txt
+                            --output-file $output_dir/sequence-motifs-in-contigs.txt \
+                            --no-progress
 SHOW_FILE $output_dir/sequence-motifs-in-contigs.txt
 
 INFO "Populating taxonomy for splits table in the database using 'centrifuge' parser"
 anvi-import-taxonomy-for-genes -c $output_dir/CONTIGS.db \
                                -p centrifuge \
-                               -i $files/example_files_for_centrifuge_taxonomy/centrifuge_report.tsv $files/example_files_for_centrifuge_taxonomy/centrifuge_hits.tsv
+                               -i $files/example_files_for_centrifuge_taxonomy/centrifuge_report.tsv $files/example_files_for_centrifuge_taxonomy/centrifuge_hits.tsv \
+                               --no-progress
 
 INFO "Trying to remove HMM sources from the contigs database (when there are none in it)"
 anvi-delete-hmms -c $output_dir/CONTIGS.db \
-                 --just-do-it
+                 --just-do-it \
+                 --no-progress
 
 INFO "Populating HMM hits tables in the latest contigs database using default HMM profiles"
 anvi-run-hmms -c $output_dir/CONTIGS.db \
-              --num-threads 2
+              --num-threads 2 \
+              --no-progress
 
 INFO "Populating HMM hits tables in the latest contigs database using a mock HMM collection from an external directory"
 anvi-run-hmms -c $output_dir/CONTIGS.db \
-              -H $files/external_hmm_profile
+              -H $files/external_hmm_profile \
+              --no-progress
 
 INFO "Generating an ad hoc HMM source from two PFAM accessions (A STEP THAT REQUIRES INTERNET CONNECTION AND RESPONSE FROM XFAM.ORG)"
 anvi-script-pfam-accessions-to-hmms-directory --pfam-accessions-list PF00705 PF00706 \
-                                              -O $output_dir/ADHOC_HMMs
+                                              -O $output_dir/ADHOC_HMMs \
+                                              --no-progress
 
 INFO "Running the HMMs in the ad hoc user directory"
 anvi-run-hmms -c $output_dir/CONTIGS.db \
-              -H $output_dir/ADHOC_HMMs
+              -H $output_dir/ADHOC_HMMs \
+              --no-progress
 
 INFO "Rerunning HMMs for a specific installed profile"
 anvi-run-hmms -c $output_dir/CONTIGS.db \
               -I Ribosomal_RNA_16S \
-              --just-do-it
+              --just-do-it \
+              --no-progress
 
 INFO "Rerunning HMMs with hmmsearch"
 anvi-run-hmms -c $output_dir/CONTIGS.db \
@@ -117,21 +161,25 @@ anvi-run-hmms -c $output_dir/CONTIGS.db \
               --hmmer-program hmmsearch \
               --hmmer-output-dir $output_dir \
               --domain-hits-table \
-              --just-do-it
+              --just-do-it \
+              --no-progress
 
 INFO "Filtering hmm_hits using target coverage"
 anvi-script-filter-hmm-hits-table -c $output_dir/CONTIGS.db \
                                   --domain-hits-table $output_dir/hmm.domtable \
                                   --hmm-source Bacteria_71 \
-                                  --target-coverage 0.9
+                                  --target-coverage 0.9 \
+                                  --no-progress
 
 INFO "Listing all available HMM sources in the contigs database"
 anvi-delete-hmms -c $output_dir/CONTIGS.db \
-                 --list
+                 --list \
+                 --no-progress
 
 INFO "Removing HMM hits for Rinke_et_al from the contigs database"
 anvi-delete-hmms -c $output_dir/CONTIGS.db \
-                 --hmm-source Rinke_et_al
+                 --hmm-source Rinke_et_al \
+                 --no-progress
 
 INFO "Export genomic locus using HMM"
 anvi-export-locus -c $output_dir/CONTIGS.db \
@@ -139,7 +187,8 @@ anvi-export-locus -c $output_dir/CONTIGS.db \
                   -n 22,22 \
                   -s RNA_pol_Rpb6 \
                   --use-hmm \
-                  --hmm-sources Bacteria_71
+                  --hmm-sources Bacteria_71 \
+                  --no-progress
 
 INFO "Export genomic locus using HMM (multiple, only 1 expected hit)"
 anvi-export-locus -c $output_dir/CONTIGS.db \
@@ -147,7 +196,8 @@ anvi-export-locus -c $output_dir/CONTIGS.db \
                   -n 22,22 \
                   -s RNA_pol_Rpb6,fake_gene \
                   --use-hmm \
-                  --hmm-sources Bacteria_71
+                  --hmm-sources Bacteria_71 \
+                  --no-progress
 
 INFO "Recovering completeness esimates for the contigs db"
 anvi-compute-completeness -c $output_dir/CONTIGS.db
@@ -155,28 +205,34 @@ anvi-compute-completeness -c $output_dir/CONTIGS.db
 INFO "Importing gene function calls using 'interproscan' parser"
 anvi-import-functions -c $output_dir/CONTIGS.db \
                       -i $files/example_interpro_output.tsv \
-                      -p interproscan
+                      -p interproscan \
+                      --no-progress
 
 INFO "Listing all available function call sources in the contigs database"
 anvi-export-functions -c $output_dir/CONTIGS.db \
-                      --list-annotation-sources
+                      --list-annotation-sources \
+                      --no-progress
 
 INFO "Deleting gene functions that do not exist along with those that do"
 anvi-delete-functions -c $output_dir/CONTIGS.db \
-                      --annotation-sources PRINTS,XXX,PIRSF,YYY
+                      --annotation-sources PRINTS,XXX,PIRSF,YYY \
+                      --no-progress
 
 INFO "Importing gene function calls INCREMENTALLY using a TAB-delimited default input matrix"
 anvi-import-functions -c $output_dir/CONTIGS.db \
-                      -i $files/example_gene_functions_input_matrix.txt
+                      -i $files/example_gene_functions_input_matrix.txt \
+                      --no-progress
 
 INFO "REPLACING gene function calls using a TAB-delimited default input matrix"
 anvi-import-functions -c $output_dir/CONTIGS.db \
                       -i $files/example_gene_functions_input_matrix.txt \
-                      --drop-previous-annotations
+                      --drop-previous-annotations \
+                      --no-progress
 
 INFO "Export all functional annotations"
 anvi-export-functions -c $output_dir/CONTIGS.db \
-                      -o $output_dir/exported_functions_from_all_sources.txt
+                      -o $output_dir/exported_functions_from_all_sources.txt \
+                      --no-progress
 SHOW_FILE $output_dir/exported_functions_from_all_sources.txt
 
 INFO "Export genomic locus using functional annotation search"
@@ -184,26 +240,30 @@ anvi-export-locus -c $output_dir/CONTIGS.db \
                   -O $output_dir/exported_locus_from_functions \
                   -n 22,22 \
                   -s NusB \
-                  --overwrite-output-destinations
+                  --force-overwrite \
+                  --no-progress
 
 INFO "Export genomic locus using functional annotation search (multiple; 2 expected)"
 anvi-export-locus -c $output_dir/CONTIGS.db \
                   -O $output_dir/exported_locus_from_functions \
                   -n 22,22 \
                   -s NusB,'Glutamine amidotransferase class-I' \
-                  --overwrite-output-destinations
+                  --force-overwrite \
+                  --no-progress
 
 INFO "Export genomic locus using functional annotation search in flank-mode"
 anvi-export-locus -c $output_dir/CONTIGS.db \
                   -O $output_dir/exported_locus_from_functions \
                   --flank-mode  \
                   -s NusB,rpoz \
-                  --overwrite-output-destinations
+                  --force-overwrite \
+                  --no-progress
 
 INFO "Export only Pfam annotations"
 anvi-export-functions -c $output_dir/CONTIGS.db \
                       -o $output_dir/exported_functions_from_source_Pfam.txt \
-                      --annotation-sources Pfam
+                      --annotation-sources Pfam \
+                      --no-progress
 
 INFO "Contigs DB is ready; here are the tables in it:"
 sqlite3 $output_dir/CONTIGS.db '.tables'
@@ -212,22 +272,26 @@ INFO "Generating a 'blank profile' with the newly generated contigs database"
 anvi-profile -c $output_dir/CONTIGS.db \
              -o $output_dir/BLANK-PROFILE \
              -S BLANK \
-             --blank-profile
+             --blank-profile \
+             --no-progress
 
 INFO "Adding a default collection to the blank profile"
 anvi-script-add-default-collection -c $output_dir/CONTIGS.db \
                                    -p $output_dir/BLANK-PROFILE/PROFILE.db \
+                                   --no-progress
 
 INFO "Importing a collection into the blank profile"
 anvi-import-collection -c $output_dir/CONTIGS.db \
                        -p $output_dir/BLANK-PROFILE/PROFILE.db \
-                       -C collection_blank $files/collection_for_blank_profile.txt
+                       -C collection_blank $files/collection_for_blank_profile.txt \
+                       --no-progress
 
 INFO "Summarizing the collection stored in the blank profile"
 anvi-summarize -c $output_dir/CONTIGS.db \
                -p $output_dir/BLANK-PROFILE/PROFILE.db \
                -C collection_blank \
-               -o $output_dir/BLANK-SUMMARY
+               -o $output_dir/BLANK-SUMMARY \
+               --no-progress
 
 # for each sample, run the profiling using the same split size used for the contigs database.
 # profiling generates individual directiorues uner $output_dir directory for each sample.
@@ -237,25 +301,29 @@ do
     anvi-profile -i $output_dir/SAMPLE-$f.bam \
                  -o $output_dir/SAMPLE-$f \
                  -c $output_dir/CONTIGS.db \
-                 --profile-SCVs
+                 --profile-SCVs \
+                 --no-progress
 
     INFO "Importing short-read-level taxonomy for SAMPLE-$f"
     anvi-import-taxonomy-for-layers -p $output_dir/SAMPLE-$f/PROFILE.db \
                                     -i $files/example_files_for_kraken_hll_taxonomy/SAMPLE-$f.mpa \
-                                    --parser krakenuniq
+                                    --parser krakenuniq \
+                                    --no-progress
 
     INFO "Importing a collection"
     anvi-import-collection -c $output_dir/CONTIGS.db \
                            -p $output_dir/SAMPLE-$f/PROFILE.db \
                            -C CONCOCT \
-                           $files/concoct_mini_test.txt
+                           $files/concoct_mini_test.txt \
+                           --no-progress
 done
 
 INFO "Fast summary of the single profile databases"
 anvi-summarize-blitz $output_dir/SAMPLE-0*/PROFILE.db \
                      -c $output_dir/CONTIGS.db \
                      -C CONCOCT \
-                     -o $output_dir/SUMMARY-BLITZ.txt
+                     -o $output_dir/SUMMARY-BLITZ.txt \
+                     --no-progress
 SHOW_FILE $output_dir/SUMMARY-BLITZ.txt
 
 # Run anvi-profile on one of the samples using the multi-process routine, just to make sure it does
@@ -267,44 +335,52 @@ anvi-profile -i $output_dir/SAMPLE-01.bam \
              -c $output_dir/CONTIGS.db \
              --cluster \
              --profile-SCVs \
-             --force-multi
+             --force-multi \
+             --no-progress
 rm -rf $output_dir/MULTI-THREAD-SAMPLE-01
 
 INFO "Merging profiles"
 anvi-merge $output_dir/*/PROFILE.db -o $output_dir/SAMPLES-MERGED \
                                     -c $output_dir/CONTIGS.db \
-                                    --description $files/example_description.md
+                                    --description $files/example_description.md \
+                                    --no-progress
 
 INFO "Merging profiles without any clustering"
 anvi-merge $output_dir/*/PROFILE.db -o $output_dir/SAMPLES-MERGED-WO-CLUSTERING \
                               -c $output_dir/CONTIGS.db \
-                              --skip-hierarchical-clustering
+                              --skip-hierarchical-clustering \
+                              --no-progress
 
 INFO "Importing a collection file into the merged profile"
 anvi-import-collection -c $output_dir/CONTIGS.db \
                        -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                        -C CONCOCT \
-                       $files/concoct_mini_test.txt
+                       $files/concoct_mini_test.txt \
+                       --no-progress
 
 INFO "Update the description in the merged profile"
 anvi-update-db-description $output_dir/SAMPLES-MERGED/PROFILE.db \
-                           --description $files/example_description.md
+                           --description $files/example_description.md \
+                           --no-progress
 
 INFO "Generating coverages and sequences files for splits (for external binning)"
 anvi-export-splits-and-coverages -c $output_dir/CONTIGS.db \
-                                 -p $output_dir/SAMPLES-MERGED/PROFILE.db
+                                 -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                                 --no-progress
 
 INFO "Generating per-nt position coverage values for a single split across samples"
 anvi-get-split-coverages -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                          -o $output_dir/contig_1720_split_00001_coverages.txt \
-                         --split-name 204_10M_MERGED.PERFECT.gz.keep_contig_1720_split_00001
+                         --split-name 204_10M_MERGED.PERFECT.gz.keep_contig_1720_split_00001 \
+                         --no-progress
 
 INFO "Generating per-nt position coverage values for splits in a bin across samples"
 anvi-get-split-coverages -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                          -c $output_dir/CONTIGS.db \
                          -o $output_dir/split_coverages_in_Bin_1.txt \
                          -C CONCOCT \
-                         -b Bin_1
+                         -b Bin_1 \
+                         --no-progress
 SHOW_FILE $output_dir/split_coverages_in_Bin_1.txt
 
 INFO "Generating per-nt position coverage values for a single gene with its 20nt flanks across samples"
@@ -312,9 +388,15 @@ anvi-get-split-coverages -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                          -c $output_dir/CONTIGS.db \
                          -o $output_dir/gene_caller_id_5_coverages.txt \
                          --gene-caller-id 5 \
-                         --flank-length 20
+                         --flank-length 20 \
+                         --no-progress
 SHOW_FILE $output_dir/gene_caller_id_5_coverages.txt
 
+INFO "Cluster matrix with missing data"
+anvi-matrix-to-newick $files/example_matrix_with_missing_data.txt \
+                      -o $output_dir/newick_tree_for_matrix_with_missing_data.txt \
+                      --no-progress
+
 INFO "Cluster contigs in the newly generated coverages file"
 anvi-matrix-to-newick $output_dir/SAMPLES-MERGED/SAMPLES_MERGED-COVs.txt
 
@@ -323,26 +405,30 @@ anvi-matrix-to-newick $output_dir/SAMPLES-MERGED/SAMPLES_MERGED-COVs.txt \
                       --distance canberra \
                       --linkage complete \
                       -o $output_dir/SAMPLES-MERGED/SAMPLES_MERGED-COVs_CANB_COMP.newick \
-                      --items-order-file $output_dir/SAMPLES-MERGED/SAMPLES_MERGED-COVs_CANB_COMP-ITEMS-ORDER.txt
+                      --items-order-file $output_dir/SAMPLES-MERGED/SAMPLES_MERGED-COVs_CANB_COMP-ITEMS-ORDER.txt \
+                      --no-progress
 
 INFO "Generating network descriptions for samples based on gene functions"
 anvi-gen-network -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                  -c $output_dir/CONTIGS.db \
-                 --annotation-source Pfam
+                 --annotation-source Pfam \
+                 --no-progress
 
 INFO "Use anvi-experimental-organization to generate a tree from a new configuration to store it in a file (not in the database)"
 anvi-experimental-organization $files/example_clustering_configuration.ini \
                                -i $output_dir/SAMPLES-MERGED \
                                -c $output_dir/CONTIGS.db \
                                -o $output_dir/SAMPLES-MERGED/EXP-ORG-FILE.txt \
-                               --skip-store-in-db
+                               --skip-store-in-db \
+                               --no-progress
 
 INFO "Use anvi-experimental-organization to generate a tree from a non-default configuration, and add the resulting tree into the database as 'experimental'"
 anvi-experimental-organization $files/example_clustering_configuration.ini \
                                -i $output_dir/SAMPLES-MERGED \
                                -c $output_dir/CONTIGS.db \
                                -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                               --name experimental
+                               --name experimental \
+                               --no-progress
 
 INFO "Use anvi-experimental-organization to generate a tree from a non-default configuration, but overwrite linkage method and distance metric"
 anvi-experimental-organization $files/example_clustering_configuration.ini \
@@ -351,17 +437,20 @@ anvi-experimental-organization $files/example_clustering_configuration.ini \
                                -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                                --name experimental \
                                --distance canberra \
-                               --linkage complete
+                               --linkage complete \
+                               --no-progress
 
 INFO "Adding a 'DEFAULT' collection that describes all splits in an 'EVERYTHING' bin to the merged profile"
-anvi-script-add-default-collection -p $output_dir/SAMPLES-MERGED/PROFILE.db
+anvi-script-add-default-collection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                                   --no-progress
 
 INFO "Importing external binning results for splits into the profile database as 'SPLITS_IMPORTED'"
 anvi-import-collection $files/example_files_for_external_binning_results/external_binning_of_splits.txt \
                        -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                        -c $output_dir/CONTIGS.db \
                        --collection-name 'SPLITS_IMPORTED' \
-                       --bins-info $files/example_files_for_external_binning_results/example_bins_info_file.txt
+                       --bins-info $files/example_files_for_external_binning_results/example_bins_info_file.txt \
+                       --no-progress
 
 INFO "Importing external binning results for splits into the profile database as 'CONTIGS_IMPORTED'"
 anvi-import-collection $files/example_files_for_external_binning_results/external_binning_of_contigs.txt \
@@ -369,42 +458,49 @@ anvi-import-collection $files/example_files_for_external_binning_results/externa
                        -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                        --collection-name 'CONTIGS_IMPORTED' \
                        --bins-info $files/example_files_for_external_binning_results/example_bins_info_file.txt \
-                       --contigs-mode
+                       --contigs-mode \
+                       --no-progress
 
 INFO "Merging Bin_2 and Bin_3 into a new bin in the collection 'CONTIGS_IMPORTED'"
 anvi-merge-bins -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                 --collection-name 'CONTIGS_IMPORTED' \
                 --bin-names-list Bin_2,Bin_3 \
-                --new-bin-name merged_bins
+                --new-bin-name merged_bins \
+                --no-progress
 
 INFO "Exporting the 'CONTIGS_IMPORTED' collection that was just imported"
 anvi-export-collection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                        -C CONTIGS_IMPORTED \
-                       --output-file-prefix $output_dir/exported-collection
+                       --output-file-prefix $output_dir/exported-collection \
+                       --no-progress
 
 INFO "Exporting the 'CONTIGS_IMPORTED' collection that was just imported *with* unbinned items"
 anvi-export-collection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                        -C CONTIGS_IMPORTED \
                        --output-file-prefix $output_dir/exported-collection \
-                       --include-unbinned
+                       --include-unbinned \
+                       --no-progress
 
 INFO "Re-importing a collection from files just exported for CONTIGS_IMPORTED collection (just to confuse you, and to see if we can import stuff we export)"
 anvi-import-collection $output_dir/exported-collection.txt \
                        -c $output_dir/CONTIGS.db \
                        -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                        --collection-name 'CONTIGS_RE_IMPORTED' \
-                       --bins-info $output_dir/exported-collection-info.txt
+                       --bins-info $output_dir/exported-collection-info.txt \
+                       --no-progress
 
 INFO "Deleting the collection 'CONTIGS_RE_IMPORTED'"
 anvi-delete-collection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                       -C CONTIGS_RE_IMPORTED
+                       -C CONTIGS_RE_IMPORTED \
+                       --no-progress
 
 
 INFO "Importing 'cmdline_concoct' collection file into the merged profile"
 anvi-import-collection -c $output_dir/CONTIGS.db \
                        -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                        -C cmdline_concoct \
-                       $files/concoct_mini_test.txt
+                       $files/concoct_mini_test.txt \
+                       --no-progress
 
 INFO "Rename bins in collection 'cmdline_concoct' using SCG averages"
 anvi-rename-bins -c $output_dir/CONTIGS.db \
@@ -412,13 +508,15 @@ anvi-rename-bins -c $output_dir/CONTIGS.db \
                  --prefix 'PSAMPLES' \
                  --collection-to-read "cmdline_concoct" \
                  --collection-to-write "cmdline_concoct_RENAMED" \
-                 --report-file $output_dir/renaming-report.txt
+                 --report-file $output_dir/renaming-report.txt \
+                 --no-progress
 SHOW_FILE $output_dir/renaming-report.txt
 
 INFO "Requesting collection info"
 anvi-estimate-genome-completeness -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                                   -c $output_dir/CONTIGS.db \
-                                  -C "cmdline_concoct_RENAMED"
+                                  -C "cmdline_concoct_RENAMED" \
+                                  --no-progress
 
 INFO "Summarizing CONCOCT results"
 anvi-summarize -p $output_dir/SAMPLES-MERGED/PROFILE.db \
@@ -426,7 +524,8 @@ anvi-summarize -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                -o $output_dir/SAMPLES-MERGED-SUMMARY \
                -C 'cmdline_concoct_RENAMED' \
                --init-gene-coverages \
-               --reformat-contig-names
+               --reformat-contig-names \
+               --no-progress
 
 INFO "Run quick summary of CONCOCT results"
 anvi-summarize -p $output_dir/SAMPLES-MERGED/PROFILE.db \
@@ -434,7 +533,8 @@ anvi-summarize -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                -o $output_dir/SAMPLES-MERGED-SUMMARY-QUICK \
                -C 'cmdline_concoct_RENAMED' \
                --reformat-contig-names \
-               --quick-summary
+               --quick-summary \
+               --no-progress
 
 INFO "Generate a SNV variabilty profile for PSAMPLES_Bin_00001 using a collection id"
 anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
@@ -442,7 +542,8 @@ anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
                              -C cmdline_concoct_RENAMED \
                              -b PSAMPLES_Bin_00001 \
                              -o $output_dir/variability_PSAMPLES_Bin_00001.txt \
-                             --quince-mode
+                             --quince-mode \
+                             --no-progress
 SHOW_FILE $output_dir/variability_PSAMPLES_Bin_00001.txt
 
 INFO "Generate a SNV profile for PSAMPLES_Bin_00001 using genes of interest (after summary)"
@@ -450,7 +551,8 @@ anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
                              -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                              --genes-of-interest $files/example_genes_of_interest.txt \
                              -o $output_dir/variability_PSAMPLES_Bin_00001_ALT_GENES_of_INTEREST.txt \
-                             --engine NT
+                             --engine NT \
+                             --no-progress
 SHOW_FILE $output_dir/variability_PSAMPLES_Bin_00001_ALT_GENES_of_INTEREST.txt
 
 INFO "Generate a SNV profile for PSAMPLES_Bin_00001 using split names of interest (after summary)"
@@ -458,7 +560,8 @@ anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
                              -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                              --splits-of-interest $output_dir/SAMPLES-MERGED-SUMMARY/bin_by_bin/PSAMPLES_Bin_00001/PSAMPLES_Bin_00001-original_split_names.txt \
                              -o $output_dir/variability_PSAMPLES_Bin_00001_ALT_SPLITS_of_INTEREST.txt \
-                             --engine NT
+                             --engine NT \
+                             --no-progress
 SHOW_FILE $output_dir/variability_PSAMPLES_Bin_00001_ALT_SPLITS_of_INTEREST.txt
 
 INFO "Generate a SCV profile for PSAMPLES_Bin_00001 using a collection id"
@@ -468,7 +571,8 @@ anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
                              -b PSAMPLES_Bin_00001 \
                              -o $output_dir/variability_CDN_PSAMPLES_Bin_00001.txt \
                              --quince-mode \
-                             --engine CDN
+                             --engine CDN \
+                             --no-progress
 SHOW_FILE $output_dir/variability_CDN_PSAMPLES_Bin_00001.txt
 
 INFO "Generate a SAAV profile for PSAMPLES_Bin_00001 using a collection id"
@@ -478,86 +582,100 @@ anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
                              -b PSAMPLES_Bin_00001 \
                              -o $output_dir/variability_AA_PSAMPLES_Bin_00001.txt \
                              --quince-mode \
-                             --engine AA
+                             --engine AA \
+                             --no-progress
 
 INFO "Computing INSeq stats database"
 anvi-gen-gene-level-stats-databases -c $output_dir/CONTIGS.db \
                                     -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                                     -C DEFAULT \
                                     -b EVERYTHING \
-                                    --inseq-stats
+                                    --inseq-stats \
+                                    --no-progress
 
 INFO "Searching for sequence motifs in the profile database"
 anvi-search-sequence-motifs -c $output_dir/CONTIGS.db \
                             -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                             --motifs ATCG,TAAAT \
-                            --output-file $output_dir/sequence-motifs-in-profile.txt
+                            --output-file $output_dir/sequence-motifs-in-profile.txt \
+                            --no-progress
 SHOW_FILE $output_dir/sequence-motifs-in-profile.txt
 
 INFO "Generating normalized codon frequencies for all genes in the contigs database"
 anvi-get-codon-frequencies -c $output_dir/CONTIGS.db \
                            -o $output_dir/CODON_frequencies_for_the_contigs_db.txt \
-                           --merens-codon-normalization
+                           --merens-codon-normalization \
+                           --no-progress
 SHOW_FILE $output_dir/CODON_frequencies_for_the_contigs_db.txt
 
 INFO "Getting back the sequence for gene call 3"
 anvi-get-sequences-for-gene-calls -c $output_dir/CONTIGS.db \
                                   --gene-caller-ids 3 \
-                                  -o $output_dir/Sequence_for_gene_caller_id_3.fa
+                                  -o $output_dir/Sequence_for_gene_caller_id_3.fa \
+                                  --no-progress
 
 INFO "Getting back the AA sequence for gene call 3"
 anvi-get-sequences-for-gene-calls -c $output_dir/CONTIGS.db \
                                   --gene-caller-ids 3 \
                                   --get-aa-sequences \
-                                  -o $output_dir/AA_sequence_for_gene_caller_id_3.fa
+                                  -o $output_dir/AA_sequence_for_gene_caller_id_3.fa \
+                                  --no-progress
 
 INFO "Getting back the sequence for gene call 3 (export as GFF3)"
 anvi-get-sequences-for-gene-calls -c $output_dir/CONTIGS.db \
                                   --gene-caller-ids 3 \
                                   --export-gff3 \
-                                  -o $output_dir/Sequence_for_gene_caller_id_3.gff
+                                  -o $output_dir/Sequence_for_gene_caller_id_3.gff \
+                                  --no-progress
 
 INFO "Getting back the sequence for gene call 3 with flank-length of 50 nucleotides"
 anvi-get-sequences-for-gene-calls -c $output_dir/CONTIGS.db \
                                   --gene-caller-ids 3 \
                                   --flank-length 50 \
-                                  -o $output_dir/Sequence_for_gene_caller_id_3_50nt.fa
+                                  -o $output_dir/Sequence_for_gene_caller_id_3_50nt.fa \
+                                  --no-progress
 
 INFO "Export gene coverage and detection data"
 anvi-export-gene-coverage-and-detection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                                         -c $output_dir/CONTIGS.db \
-                                        -O $output_dir/MERGED
+                                        -O $output_dir/MERGED \
+                                        --no-progress
 
 INFO "Export gene coverage and detection data for a single gene"
 anvi-export-gene-coverage-and-detection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                                         -c $output_dir/CONTIGS.db \
                                         --gene-caller-id 1 \
-                                        -O $output_dir/MERGED-GENE-01
+                                        -O $output_dir/MERGED-GENE-01 \
+                                        --no-progress
 SHOW_FILE $output_dir/MERGED-GENE-01-GENE-COVERAGES.txt
 SHOW_FILE $output_dir/MERGED-GENE-01-GENE-DETECTION.txt
 
 INFO "Show all available HMM sources"
 anvi-get-sequences-for-hmm-hits -c $output_dir/CONTIGS.db \
                                 -o /dev/null \
-                                -l
+                                -l \
+                                --no-progress
 
 INFO "Show available gene names in HMM sources"
 anvi-get-sequences-for-hmm-hits -c $output_dir/CONTIGS.db \
                                 -o /dev/null \
-                                -L
+                                -L \
+                                --no-progress
 
 INFO "Get DNA sequences for HMM hits for a bin in a collection"
 anvi-get-sequences-for-hmm-hits -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                                 -c $output_dir/CONTIGS.db \
                                 -C CONCOCT \
                                 -b Bin_1 \
-                                -o $output_dir/hmm_hits_sequences_in_Bin_1.txt
+                                -o $output_dir/hmm_hits_sequences_in_Bin_1.txt \
+                                --no-progress
 
 INFO "Get DNA sequences for all ABC transporter hits defined in an HMM source"
 anvi-get-sequences-for-hmm-hits -c $output_dir/CONTIGS.db \
                                 -o $output_dir/ABC_transporter_hits_in_external_hmm_profile.txt \
                                 --gene-names ABC_tran \
-                                --hmm-source external_hmm_profile
+                                --hmm-source external_hmm_profile \
+                                --no-progress
 
 INFO "Get AA sequences for HMM hits for a bin in a collection"
 anvi-get-sequences-for-hmm-hits -p $output_dir/SAMPLES-MERGED/PROFILE.db \
@@ -565,88 +683,136 @@ anvi-get-sequences-for-hmm-hits -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                                 -C CONCOCT \
                                 -b Bin_1 \
                                 -o $output_dir/hmm_hits_sequences_in_Bin_1.txt \
-                                --get-aa-sequences
+                                --get-aa-sequences \
+                                --no-progress
 
 INFO "Import layer additional data from file"
 anvi-import-misc-data $files/samples-information.txt \
                       -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                      --target-data-table layers
+                      --target-data-table layers \
+                      --no-progress
 
 INFO "Import layer orders from file"
 anvi-import-misc-data $files/samples-order.txt \
                       -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                      --target-data-table layer_orders
+                      --target-data-table layer_orders \
+                      --no-progress
 
 INFO "Import items additional data from file"
 anvi-import-misc-data $files/items_additional_data.txt \
                       -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                      --target-data-table items
+                      --target-data-table items \
+                      --no-progress
 
 INFO "Show available misc data keys"
-anvi-show-misc-data -p $output_dir/SAMPLES-MERGED/PROFILE.db
+anvi-show-misc-data -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                    --no-progress
 
 INFO "Export items additional data"
 anvi-export-misc-data -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                       --target-data-table items \
-                      -o $output_dir/exported_items_additional_data.txt
+                      -o $output_dir/exported_items_additional_data.txt \
+                      --no-progress
 
 INFO "Remove a single data key from items additional data"
 anvi-delete-misc-data -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                       --target-data-table items \
-                      --keys "test_column"
+                      --keys "test_column" \
+                      --no-progress
 
 INFO "Remove all data in items additional data"
 anvi-delete-misc-data -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                       --target-data-table items \
-                      --just-do-it
+                      --just-do-it \
+                      --no-progress
+
+INFO "Getting all short reads from BAM files for all samples"
+anvi-get-short-reads-from-bam $output_dir/SAMPLE-01.bam $output_dir/SAMPLE-02.bam $output_dir/SAMPLE-03.bam \
+                              -o $output_dir/all_short_reads_from_SAMPLE_bam_files.fa \
+                              --no-progress
+
+INFO "Getting all short reads from BAM files for split and gzipped"
+anvi-get-short-reads-from-bam $output_dir/SAMPLE-01.bam $output_dir/SAMPLE-02.bam $output_dir/SAMPLE-03.bam \
+                              -O $output_dir/all_short_reads_split \
+                              --split-R1-and-R2 \
+                              --gzip-output \
+                              --no-progress
+
+INFO "Getting short reads from BAM files that match to a specific region in a specific contig"
+anvi-get-short-reads-from-bam $output_dir/SAMPLE-01.bam $output_dir/SAMPLE-02.bam $output_dir/SAMPLE-03.bam \
+                              --target-contig 204_10M_MERGED.PERFECT.gz.keep_contig_878 \
+                              --target-region-start 100 \
+                              --target-region-end 101 \
+                              -o $output_dir/all_short_reads_matching_to_contig.fa \
+                              --no-progress
+
+INFO "Getting short reads from BAM files matching to contigs in a specific bin"
+anvi-get-short-reads-from-bam $output_dir/SAMPLE-01.bam $output_dir/SAMPLE-02.bam $output_dir/SAMPLE-03.bam \
+                              -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                              -c $output_dir/CONTIGS.db \
+                              -C CONCOCT \
+                              -b Bin_1 \
+                              -o $output_dir/all_short_reads_matching_to_CONCOCT_Bin_1_contigs.fa \
+                              --no-progress
 
 INFO "Get linkmers from all BAM files for some distant positions"
 anvi-report-linkmers --contigs-and-positions $files/distant_positions_for_linkmers.txt \
                      -i $output_dir/*.bam \
-                     -o $output_dir/distant_linkmers.txt
+                     -o $output_dir/distant_linkmers.txt \
+                     --no-progress
 
 INFO "Get linkmers from all BAM files for some adjacent positions connected with --only-complete-links"
 anvi-report-linkmers --contigs-and-positions $files/adjacent_positions_for_linkmers.txt \
                      -i $output_dir/*.bam \
                      -o $output_dir/adjacent_linkmers.txt \
-                     --only-complete-links
+                     --only-complete-links \
+                     --no-progress
 
 INFO "Oligotype linkmers report generated for adjacent nucleotide positions"
 anvi-oligotype-linkmers -i $output_dir/adjacent_linkmers.txt \
-                        -o $output_dir/
+                        -o $output_dir/ \
+                        --no-progress
 
 INFO "Running anvi'o script to correct homopolymer INDELs in --test-run mode"
-anvi-script-fix-homopolymer-indels --test-run
+anvi-script-fix-homopolymer-indels --test-run \
+                                   --no-progress
 
 INFO "Running anvi'o script to correct homopolymer INDELs with real files"
-anvi-script-fix-homopolymer-indels --input $files/single_contig_with_INDEL_errors.fa \
-                                   --reference $files/single_contig.fa \
+cp $files/single_contig_with_INDEL_errors.fa $output_dir/
+cp $files/single_contig.fa $output_dir/
+anvi-script-fix-homopolymer-indels --input $output_dir/single_contig_with_INDEL_errors.fa \
+                                   --reference $output_dir/single_contig.fa \
                                    --output $output_dir/single_contig_INDEL_errors_FIXED.fa \
-                                   --verbose
+                                   --verbose \
+                                   --no-progress
 
 INFO "Search for functions to get split names with matching genes"
 anvi-search-functions -c $output_dir/CONTIGS.db \
                       --search transporter,kinase \
                       -o $output_dir/transporter-hits.txt \
-                      --verbose
+                      --verbose \
+                      --no-progress
 
 INFO "Get all short reads that map to the gene ID 38 (which is a Zinc transpoprter)"
 anvi-get-short-reads-mapping-to-a-gene -c $output_dir/CONTIGS.db \
                                        --gene-caller-id 38 \
                                        --leeway 100 \
                                        -i $output_dir/*bam \
-                                       -O $output_dir/reads-mapping-to
+                                       -O $output_dir/reads-mapping-to \
+                                       --no-progress
 
 INFO "Get AA counts for the entire contigs database"
 anvi-get-aa-counts -c $output_dir/CONTIGS.db \
-                   -o $output_dir/aa_counts_for_contigs_db.txt
+                   -o $output_dir/aa_counts_for_contigs_db.txt \
+                   --no-progress
 SHOW_FILE $output_dir/aa_counts_for_contigs_db.txt
 
 INFO "Get AA counts for bins in collection CONCOCT stored in the merged profile"
 anvi-get-aa-counts -c $output_dir/CONTIGS.db \
                    -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                    -C CONCOCT \
-                   -o $output_dir/aa_counts_for_bins_in_collection_CONCOCT.txt
+                   -o $output_dir/aa_counts_for_bins_in_collection_CONCOCT.txt \
+                   --no-progress
 SHOW_FILE $output_dir/aa_counts_for_bins_in_collection_CONCOCT.txt
 
 INFO "Get AA counts for bin 'bin_3' in collection CONCOCT stored in the merged profile"
@@ -654,49 +820,58 @@ anvi-get-aa-counts -c $output_dir/CONTIGS.db \
                    -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                    -C CONCOCT \
                    -o $output_dir/aa_counts_for_bin_3_in_collection_CONCOCT.txt \
-                   -B $files/sample_CONCOCT_bin_id.txt
+                   -B $files/sample_CONCOCT_bin_id.txt \
+                   --no-progress
 SHOW_FILE $output_dir/aa_counts_for_bin_3_in_collection_CONCOCT.txt
 
 INFO "Get AA counts for bin 'bin_3' in collection CONCOCT stored in the merged profile"
 anvi-get-aa-counts -c $output_dir/CONTIGS.db \
                    --contigs-of-interest $files/sample_contig_ids.txt \
-                   -o $output_dir/aa_counts_for_two_contigs.txt
+                   -o $output_dir/aa_counts_for_two_contigs.txt \
+                   --no-progress
 SHOW_FILE $output_dir/aa_counts_for_two_contigs.txt
 
 INFO "Get AA counts for five genes"
 anvi-get-aa-counts -c $output_dir/CONTIGS.db \
                    --gene-caller-ids $files/sample_gene_call_ids.txt \
-                   -o $output_dir/aa_counts_for_five_genes.txt
+                   -o $output_dir/aa_counts_for_five_genes.txt \
+                   --no-progress
 SHOW_FILE $output_dir/aa_counts_for_five_genes.txt
 
 INFO "Importing a state file into the merged profile"
 anvi-import-state -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                   --state $files/example_state.json \
-                  --name default
+                  --name default \
+                  --no-progress
 anvi-import-state -p $output_dir/SAMPLES-MERGED-WO-CLUSTERING/PROFILE.db \
                   --state $files/example_state.json \
-                  --name default
+                  --name default \
+                  --no-progress
 
 INFO "Exporting the state named 'default' from the merged profile"
 anvi-export-state -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                   --state default \
-                  -o $output_dir/SAMPLES-MERGED/default_state.json
+                  -o $output_dir/SAMPLES-MERGED/default_state.json \
+                  --no-progress
 
 INFO "Splitting all bins in the CONCOCT collection stored in the merged profile"
 anvi-split -p $output_dir/SAMPLES-MERGED/PROFILE.db \
            -c $output_dir/CONTIGS.db \
            -C CONCOCT \
-           -o $output_dir/CONCOCT_BINS_SPLIT
+           -o $output_dir/CONCOCT_BINS_SPLIT \
+           --no-progress
 
 INFO "Splitting only Bin_1 from the merged profile"
 anvi-split -p $output_dir/SAMPLES-MERGED/PROFILE.db \
            -c $output_dir/CONTIGS.db \
            -C CONCOCT \
            -o $output_dir/CONCOCT_BINS_SPLIT_ONLY_BIN_1 \
-           --bin-id Bin_1
+           --bin-id Bin_1 \
+           --no-progress
 
 INFO "Listing all collections and bins available in the merged profile"
-anvi-show-collections-and-bins -p $output_dir/SAMPLES-MERGED/PROFILE.db
+anvi-show-collections-and-bins -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                               --no-progress
 
 mkdir $output_dir/MCG_CLASSIFIER_OUTPUTS
 INFO "Running anvi-mcg-classifier on a single bin in a collection"
@@ -704,7 +879,8 @@ anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                     -c $output_dir/CONTIGS.db \
                     -O $output_dir/MCG_CLASSIFIER_OUTPUTS/MCG_Bin_1 \
                     -C CONCOCT \
-                    -b Bin_1
+                    -b Bin_1 \
+                    --no-progress
 
 INFO "Running anvi-mcg-classifier including only SAMPLE-01 and SAMPLE-02"
 anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db \
@@ -712,7 +888,8 @@ anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                     -O $output_dir/MCG_CLASSIFIER_OUTPUTS/MCG_INCLUDE \
                     -C CONCOCT \
                     -b Bin_1 \
-                    --include-samples $files/samples_to_include_for_mcg.txt
+                    --include-samples $files/samples_to_include_for_mcg.txt \
+                    --no-progress
 
 INFO "Running anvi-mcg-classifier excluding SAMPLE-01"
 anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db \
@@ -720,30 +897,20 @@ anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                     -O $output_dir/MCG_CLASSIFIER_OUTPUTS/MCG_EXCLUDE \
                     -C CONCOCT \
                     -b Bin_1 \
-                    --exclude-samples $files/samples_to_exclude_for_mcg.txt
+                    --exclude-samples $files/samples_to_exclude_for_mcg.txt \
+                    --no-progress
 
-INFO "Generating mock external genome data"
-cp $files/mock_data_for_pangenomics/{01,02,03}.fa $output_dir/
+INFO "Acquiring mock external genome data"
+cp $files/mock_data_for_pangenomics/E_faecalis*.db $output_dir/
 cp $files/mock_data_for_pangenomics/external-genomes.txt $output_dir/
-cp $files/mock_data_for_pangenomics/functions/*-functions.txt $output_dir/
 cp $files/example_description.md $output_dir/
 
-for g in 01 02 03
-do
-    echo -n "$g .. "
-    anvi-gen-contigs-database -f $output_dir/$g.fa \
-                              -o $output_dir/$g.db \
-                              --project-name $g >/dev/null 2>&1
-
-    anvi-import-functions -c $output_dir/$g.db \
-                          -i $output_dir/$g-functions.txt >/dev/null 2>&1
-done; echo
-
 INFO "Dereplicating genomes using pyANI"
 anvi-dereplicate-genomes -o $output_dir/DEREPLICATION_FROM_SCRATCH \
                          -e $output_dir/external-genomes.txt \
                          --similarity 0.99 \
-                         --program pyANI
+                         --program pyANI \
+                         --no-progress
 SHOW_FILE $output_dir/DEREPLICATION_FROM_SCRATCH/CLUSTER_REPORT.txt
 
 INFO "Computing genome similarity"
@@ -751,14 +918,16 @@ anvi-compute-genome-similarity -e $output_dir/external-genomes.txt \
                                -o $output_dir/GENOME_SIMILARITY_OUTPUT \
                                --fragment-length 250 \
                                --min-num-fragments 1 \
-                               --program pyANI
+                               --program pyANI \
+                               --no-progress
 SHOW_FILE $output_dir/GENOME_SIMILARITY_OUTPUT/ANIb_percentage_identity.txt
 
 INFO "Dereplicating genomes using an existing genome similarity analysis directory"
 anvi-dereplicate-genomes --ani-dir $output_dir/GENOME_SIMILARITY_OUTPUT \
                          -o $output_dir/DEREPLICATION_FROM_PREVIOUS_RESULTS \
                          --similarity 0.99 \
-                         --program pyANI
+                         --program pyANI \
+                         --no-progress
 SHOW_FILE $output_dir/DEREPLICATION_FROM_PREVIOUS_RESULTS/CLUSTER_REPORT.txt
 
 INFO "Generating an anvi'o genomes storage"
@@ -769,33 +938,38 @@ anvi-pan-genome -g $output_dir/TEST-GENOMES.db \
                 -o $output_dir/TEST/ \
                 -n TEST \
                 --use-ncbi-blast \
-                --description $output_dir/example_description.md
+                --description $output_dir/example_description.md \
+                --no-progress
 
 INFO "Testing anvi-analyze-synteny with default parameters using a pangenome for annotations"
 anvi-analyze-synteny -g $output_dir/TEST-GENOMES.db \
                      -p $output_dir/TEST/TEST-PAN.db \
                      --ngram-window-range 2:3 \
-                     -o $output_dir/synteny_output_no_unknowns.tsv
+                     -o $output_dir/synteny_output_no_unknowns.tsv \
+                     --no-progress
 
 INFO "Testing anvi-analyze-synteny now including unannotated genes"
 anvi-analyze-synteny -g $output_dir/TEST-GENOMES.db \
                      -p $output_dir/TEST/TEST-PAN.db \
                      --ngram-window-range 2:3 \
                      -o $output_dir/synteny_output_with_unknowns.tsv \
-                     --analyze-unknown-functions
+                     --analyze-unknown-functions \
+                     --no-progress
 
 INFO "Testing anvi-analyze-synteny now including unannotated genes"
 anvi-analyze-synteny -g $output_dir/TEST-GENOMES.db \
-                     --annotation-source COG_FUNCTION \
+                     --annotation-source COG20_FUNCTION \
                      --ngram-window-range 2:3 \
                      -o $output_dir/synteny_output_with_COGs.tsv \
-                     --analyze-unknown-functions
+                     --analyze-unknown-functions \
+                     --no-progress
 
 INFO 'A dry run with an items order file for the merged profile without any clustering'
 anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                  -c $output_dir/CONTIGS.db \
                  --items-order $files/example_items_order_file.txt \
-                 --dry-run
+                 --dry-run \
+                 --no-progress
 
 INFO "A dry run in 'gene-mode' to store gene-level coverage stats in a new genes database"
 rm -rf $output_dir/SAMPLES-MERGED/GENES/*
@@ -804,18 +978,19 @@ anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                  -C CONCOCT \
                  -b Bin_1 \
                  --gene-mode \
-                 --dry-run
+                 --dry-run \
+                 --no-progress
 
 INFO "A dry run to fill in anvi'o dbs"
 curdir=`pwd`
 cd $output_dir
-anvi-interactive --dry-run
-anvi-display-pan --dry-run
+anvi-display-pan --dry-run --no-progress
 cd $curdir
 
 INFO "Firing up the interactive interface to display the contigs db stats"
 anvi-display-contigs-stats $output_dir/CONTIGS.db \
-                           $dry_run_controller
+                           $dry_run_controller \
+                           --no-progress
 
 INFO "Firing up the interactive interface for merged samples"
 anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
@@ -824,6 +999,7 @@ anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                  -t $output_dir/SAMPLES-MERGED/EXP-ORG-FILE.txt \
                  -V $files/additional_view.txt \
                  --split-hmm-layers \
+                 --no-progress \
                  $dry_run_controller
 
 
@@ -831,12 +1007,14 @@ INFO "Firing up the interface to display the split bin, Bin_1"
 anvi-interactive -c $output_dir/CONCOCT_BINS_SPLIT/Bin_1/CONTIGS.db \
                  -p $output_dir/CONCOCT_BINS_SPLIT/Bin_1/PROFILE.db \
                  --title "Split bin, Bin_1" \
+                 --no-progress \
                  $dry_run_controller
 
 
 INFO "Firing up the interactive interface with the blank profile"
 anvi-interactive -c $output_dir/CONTIGS.db \
                  -p $output_dir/BLANK-PROFILE/PROFILE.db \
+                 --no-progress \
                  $dry_run_controller
 
 
@@ -844,6 +1022,7 @@ INFO "Firing up the interactive interface in 'COLLECTION' mode"
 anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                  -c $output_dir/CONTIGS.db \
                  -C CONCOCT \
+                 --no-progress \
                  $dry_run_controller
 
 INFO "Firing up the interactive interface to refine a bin"
@@ -851,16 +1030,19 @@ anvi-refine -p $output_dir/SAMPLES-MERGED/PROFILE.db \
             -c $output_dir/CONTIGS.db \
             -C CONCOCT \
             -b Bin_1 \
+            --no-progress \
             $dry_run_controller
 
 
 INFO "Importing items and layers additional data into the genes database for CONCOCT::Bin_1"
 anvi-import-misc-data -p $output_dir/SAMPLES-MERGED/GENES/CONCOCT-Bin_1.db \
                      $files/items_addtl_data_gene_mode.txt \
-                     -t items
+                     -t items \
+                     --no-progress
 anvi-import-misc-data -p $output_dir/SAMPLES-MERGED/GENES/CONCOCT-Bin_1.db \
                      $files/layers_addtl_data_gene_mode.txt \
-                     -t layers
+                     -t layers \
+                     --no-progress
 
 INFO "Firing up the interactive interface in 'gene' mode"
 anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
@@ -868,4 +1050,5 @@ anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
                  -C CONCOCT \
                  -b Bin_1 \
                  --gene-mode \
+                 --no-progress \
                  $dry_run_controller
diff --git a/anvio/tests/run_component_tests_for_inversions.sh b/anvio/tests/run_component_tests_for_inversions.sh
new file mode 100755
index 0000000000..6111effc3c
--- /dev/null
+++ b/anvio/tests/run_component_tests_for_inversions.sh
@@ -0,0 +1,86 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+INFO "Setting up the inversions analysis directory"
+mkdir -p $output_dir
+cp -r $files/mock_data_for_inversions/* $output_dir/
+cd $output_dir/
+
+INFO "Migrating the contigs database (quetly)"
+anvi-migrate 02_CONTIGS/CONTIGS.db \
+             --migrate-quickly \
+             --quiet
+
+INFO "Generating single profile databases with '--fetch-filter inversions' (quietly)"
+for sample in S01 S02 S03
+do
+    anvi-profile -c 02_CONTIGS/CONTIGS.db \
+                 -i 03_MAPPING/${sample}.bam \
+                 --fetch-filter inversions \
+                 -o 04_PROFILE/$sample \
+                 --quiet
+done
+
+INFO "Running the base analysis (without reporting the activity or genomic context of inversions)"
+anvi-report-inversions -P bams-and-profiles.txt \
+                       -o INVERSION_BASIC \
+                       --skip-compute-inversion-activity \
+                       --skip-recovering-genomic-context
+
+SHOW_FILE INVERSION_BASIC/INVERSIONS-CONSENSUS.txt
+SHOW_FILE INVERSION_BASIC/INVERSIONS-IN-S01.txt
+SHOW_FILE INVERSION_BASIC/ALL-STRETCHES-CONSIDERED.txt
+
+INFO "Running the analysis with 1 mismatch allowed in palindromes"
+anvi-report-inversions -P bams-and-profiles.txt \
+                       -o INVERSION_MISMATCH \
+                       -m 1 \
+                       --skip-compute-inversion-activity \
+                       --skip-recovering-genomic-context
+
+SHOW_FILE INVERSION_MISMATCH/INVERSIONS-CONSENSUS.txt
+
+INFO "Running the analysis with using BLAST"
+anvi-report-inversions -P bams-and-profiles.txt \
+                       -o INVERSION_BLAST \
+                       -m 1 \
+                       --palindrome-search-algorithm BLAST \
+                       --skip-compute-inversion-activity \
+                       --skip-recovering-genomic-context
+
+INFO "Running the complete analysis (with --verbose)"
+anvi-report-inversions -P bams-and-profiles.txt \
+                       -m 1 \
+                       -o INVERSION_COMPLETE \
+                       --verbose
+
+SHOW_FILE INVERSION_COMPLETE/INVERSION-ACTIVITY.txt
+SHOW_FILE INVERSION_COMPLETE/INVERSIONS-CONSENSUS-SURROUNDING-FUNCTIONS.txt
+SHOW_FILE INVERSION_COMPLETE/INVERSIONS-CONSENSUS-SURROUNDING-GENES.txt
+
+INFO "Running the analysis on a target region (quietly)"
+anvi-report-inversions -P bams-and-profiles.txt \
+                       -o INVERSION_TARGET \
+                       -m 1 \
+                       --target-contig c_000000000001 \
+                       --target-region-start 5000 \
+                       --target-region-end 15000 \
+                       --quiet
+
+INFO "Running the analysis with 'check all palindromes' directive (quietly)"
+anvi-report-inversions -P bams-and-profiles.txt \
+                       -o INVERSION_ALL_PALINDROMES \
+                       -m 1 \
+                       --check-all-palindromes \
+                       --quiet
+
+INFO "Running the analysis with 'process only inverted reads' directive (quietly)"
+anvi-report-inversions -P bams-and-profiles.txt \
+                       -o INVERSION_INVERTED_READS \
+                       -m 1 \
+                       --process-only-inverted-reads \
+                       --quiet
diff --git a/anvio/tests/run_component_tests_for_metabolism.sh b/anvio/tests/run_component_tests_for_metabolism.sh
index ea0d39416d..b6b88b1f96 100755
--- a/anvio/tests/run_component_tests_for_metabolism.sh
+++ b/anvio/tests/run_component_tests_for_metabolism.sh
@@ -14,25 +14,39 @@ cp $files/data/input_files/*.txt                        $output_dir/metabolism_t
 cd $output_dir/metabolism_test
 
 INFO "Migrating all databases"
-anvi-migrate *db --migrate-dbs-quickly
+anvi-migrate *db --migrate-quickly
 
+# generate a temporary directory to store anvi-setup-kegg-kofams output,
+# and remove it immediately to make sure it doesn't exist:
+kegg_data_dir=`mktemp -d`
+rm -rf $kegg_data_dir
 
+INFO "Setting up KEGG data"
+anvi-setup-kegg-kofams --kegg-data-dir $kegg_data_dir
+
+## BASIC TESTS
 INFO "Estimating metabolism on a single contigs database"
 anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db \
-                         -O single_contigs_db
+                         -O single_contigs_db \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 SHOW_FILE single_contigs_db_modules.txt
 
 INFO "Estimating metabolism using metagenome mode"
 anvi-estimate-metabolism -c CONTIGS.db \
                          --metagenome-mode \
-                         -O metagenome_mode
+                         -O metagenome_mode \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 SHOW_FILE metagenome_mode_modules.txt
 
 INFO "Estimating metabolism on a collection"
 anvi-estimate-metabolism -c CONTIGS.db \
                          -p PROFILE.db \
                          -C bins_for_testing \
-                         -O collection
+                         -O collection \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 SHOW_FILE collection_modules.txt
 
 INFO "Estimating metabolism on a single bin in a collection"
@@ -40,7 +54,9 @@ anvi-estimate-metabolism -c CONTIGS.db \
                          -p PROFILE.db \
                          -C bins_for_testing \
                          -b E_facealis \
-                         -O single_bin
+                         -O single_bin \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 SHOW_FILE single_bin_modules.txt
 
 INFO "Estimating metabolism using a bin IDs file"
@@ -48,105 +64,166 @@ anvi-estimate-metabolism -c CONTIGS.db \
                          -p PROFILE.db \
                          -C bins_for_testing \
                          -B bin-ids.txt \
-                         -O bin_ids_file
+                         -O bin_ids_file \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 SHOW_FILE bin_ids_file_modules.txt
 
 INFO "Estimating metabolism on external genomes"
 anvi-estimate-metabolism -e external-genomes.txt \
-                         -O external
+                         -O external \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 SHOW_FILE external_modules.txt
 
 INFO "Estimating metabolism on internal genomes"
 anvi-estimate-metabolism -i internal-genomes.txt \
-                         -O internal
+                         -O internal \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 SHOW_FILE internal_modules.txt
 
 INFO "Estimating metabolism on metagenomes file"
 anvi-estimate-metabolism -M metagenomes.txt \
-                         -O metagenomes
+                         -O metagenomes \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 SHOW_FILE metagenomes_modules.txt
 
 INFO "Trying a different module completeness threshold"
 anvi-estimate-metabolism -c P_marinus_CCMP1375.db \
                          --module-completion-threshold 0 \
-                         -O nondefault_threshold
+                         -O nondefault_threshold \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 SHOW_FILE nondefault_threshold_modules.txt
 
 INFO "Listing output modes for single database"
 anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db \
-                         --list-available-modes
+                         --list-available-modes \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 
 
 INFO "Listing output modes for multi mode"
 anvi-estimate-metabolism -e external-genomes.txt \
-                         --list-available-modes
+                         --list-available-modes \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 
 INFO "Listing custom output headers for single database"
 anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db \
-                         --list-available-output-headers
+                         --list-available-output-headers \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 
 INFO "Listing custom output headers for multi mode"
 anvi-estimate-metabolism -e external-genomes.txt \
-                         --list-available-output-headers
+                         --list-available-output-headers \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 
 INFO "Generating long format output files on single database"
 anvi-estimate-metabolism -c P_marinus_CCMP1375.db \
-                         --output-modes hits,modules,hits_in_modules,modules_custom \
-                         --custom-output-headers module,module_is_complete,module_name \
-                         -O long_format_single
+                         --output-modes hits,modules,module_paths,module_steps,modules_custom \
+                         --custom-output-headers module,pathwise_module_is_complete,stepwise_module_is_complete,module_name \
+                         -O long_format_single \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 SHOW_FILE long_format_single_hits.txt
 SHOW_FILE long_format_single_modules.txt
-SHOW_FILE long_format_single_hits_in_modules.txt
+SHOW_FILE long_format_single_module_paths.txt
+SHOW_FILE long_format_single_module_steps.txt
 SHOW_FILE long_format_single_modules_custom.txt
 
 INFO "Generating long format output files in multi mode"
 anvi-estimate-metabolism -e external-genomes.txt \
-                         --output-modes hits,modules,hits_in_modules \
-                         -O long_format_multi
+                         --output-modes hits,modules,module_paths,module_steps,modules_custom \
+                         --custom-output-headers module,pathwise_module_is_complete,stepwise_module_is_complete,module_name \
+                         -O long_format_multi \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 SHOW_FILE long_format_multi_hits.txt
 SHOW_FILE long_format_multi_modules.txt
-SHOW_FILE long_format_multi_hits_in_modules.txt
+SHOW_FILE long_format_multi_module_paths.txt
+SHOW_FILE long_format_multi_module_steps.txt
+SHOW_FILE long_format_multi_modules_custom.txt
 
 # below we try every single header for modules_custom mode
-INFO "Generating modules custom output file on single database"
+INFO "Generating modules custom output file with ALL headers (including path-level) on single database"
+anvi-estimate-metabolism -c P_marinus_CCMP1375.db \
+                         --output-modes modules_custom \
+                         -O modules_custom_single_path \
+                         --custom-output-headers module,stepwise_module_is_complete,stepwise_module_completeness,pathwise_module_is_complete,pathwise_module_completeness,enzymes_unique_to_module,unique_enzymes_hit_counts,proportion_unique_enzymes_present,unique_enzymes_context_string,module_name,module_class,module_category,module_subcategory,module_definition,module_substrates,module_products,module_intermediates,gene_caller_ids_in_module,enzyme_hits_in_module,path_id,path,path_completeness,warnings,genome_name \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
+SHOW_FILE modules_custom_single_path_modules_custom.txt
+
+INFO "Generating modules custom output file with ALL headers (including step-level) on single database"
 anvi-estimate-metabolism -c P_marinus_CCMP1375.db \
                          --output-modes modules_custom \
-                         -O modules_custom_single \
-                         --custom-output-headers module,module_is_complete,module_completeness,module_name,module_class,module_category,module_subcategory,module_definition,gene_caller_ids_in_module,gene_caller_id,enzyme_hits_in_module,enzyme_hit,contig,path_id,path,path_completeness,genome_name,enzymes_unique_to_module,unique_enzymes_hit_counts,proportion_unique_enzymes_present,unique_enzymes_context_string,module_substrates,module_products,module_intermediates,warnings
-SHOW_FILE modules_custom_single_modules_custom.txt
+                         -O modules_custom_single_step \
+                         --custom-output-headers module,stepwise_module_is_complete,stepwise_module_completeness,pathwise_module_is_complete,pathwise_module_completeness,enzymes_unique_to_module,unique_enzymes_hit_counts,proportion_unique_enzymes_present,unique_enzymes_context_string,module_name,module_class,module_category,module_subcategory,module_definition,module_substrates,module_products,module_intermediates,gene_caller_ids_in_module,enzyme_hits_in_module,step_id,step,step_completeness,warnings,genome_name \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
+SHOW_FILE modules_custom_single_step_modules_custom.txt
+
+INFO "Generating modules custom output file with ALL headers (including path-level) in multi mode"
+anvi-estimate-metabolism -e external-genomes.txt \
+                         --output-modes modules_custom \
+                         -O modules_custom_multi_path \
+                         --custom-output-headers module,stepwise_module_is_complete,stepwise_module_completeness,pathwise_module_is_complete,pathwise_module_completeness,enzymes_unique_to_module,unique_enzymes_hit_counts,proportion_unique_enzymes_present,unique_enzymes_context_string,module_name,module_class,module_category,module_subcategory,module_definition,module_substrates,module_products,module_intermediates,gene_caller_ids_in_module,enzyme_hits_in_module,path_id,path,path_completeness,warnings,genome_name,db_name \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
+SHOW_FILE modules_custom_multi_path_modules_custom.txt
 
-INFO "Generating modules custom output file in multi mode"
+INFO "Generating modules custom output file with ALL headers (including step-level) in multi mode"
 anvi-estimate-metabolism -e external-genomes.txt \
                          --output-modes modules_custom \
-                         -O modules_custom_multi \
-                         --custom-output-headers module,module_is_complete,module_completeness,module_name,module_class,module_category,module_subcategory,module_definition,gene_caller_ids_in_module,gene_caller_id,enzyme_hits_in_module,enzyme_hit,contig,path_id,path,path_completeness,genome_name,enzymes_unique_to_module,unique_enzymes_hit_counts,proportion_unique_enzymes_present,unique_enzymes_context_string,module_substrates,module_products,module_intermediates,warnings,db_name
-SHOW_FILE modules_custom_multi_modules_custom.txt
+                         -O modules_custom_multi_step \
+                         --custom-output-headers module,stepwise_module_is_complete,stepwise_module_completeness,pathwise_module_is_complete,pathwise_module_completeness,enzymes_unique_to_module,unique_enzymes_hit_counts,proportion_unique_enzymes_present,unique_enzymes_context_string,module_name,module_class,module_category,module_subcategory,module_definition,module_substrates,module_products,module_intermediates,gene_caller_ids_in_module,enzyme_hits_in_module,step_id,step,step_completeness,warnings,genome_name,db_name \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
+SHOW_FILE modules_custom_multi_step_modules_custom.txt
 
 INFO "Generating matrix output files in multi mode"
 anvi-estimate-metabolism -e external-genomes.txt \
                          --matrix-format \
-                         -O matrix_format_multi
-SHOW_FILE matrix_format_multi-completeness-MATRIX.txt
-SHOW_FILE matrix_format_multi-presence-MATRIX.txt
+                         -O matrix_format_multi \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
+SHOW_FILE matrix_format_multi-module_pathwise_completeness-MATRIX.txt
+SHOW_FILE matrix_format_multi-module_pathwise_presence-MATRIX.txt
+SHOW_FILE matrix_format_multi-module_stepwise_completeness-MATRIX.txt
+SHOW_FILE matrix_format_multi-module_stepwise_presence-MATRIX.txt
+SHOW_FILE matrix_format_multi-step_completeness-MATRIX.txt
 SHOW_FILE matrix_format_multi-enzyme_hits-MATRIX.txt
 
 INFO "Generating JSON output (debug option)"
 anvi-estimate-metabolism -c S_islandicus_LS215.db \
                          --get-raw-data-as-json estimation_data \
-                         --store-json-without-estimation
+                         --store-json-without-estimation \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 
 INFO "Estimating from JSON output (debug option)"
 anvi-estimate-metabolism --estimate-from-json estimation_data.json \
-                         -O from_json
+                         -O from_json \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 
+
+## COVERAGE TESTS
 INFO "Testing --add-coverage for genome mode"
 anvi-estimate-metabolism -c CONTIGS.db \
                          -p PROFILE.db \
                          -O genome_coverage \
                          --add-coverage \
-                         --output-modes modules,hits_in_modules
+                         --output-modes modules,hits \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 SHOW_FILE genome_coverage_modules.txt
-SHOW_FILE genome_coverage_hits_in_modules.txt
+SHOW_FILE genome_coverage_hits.txt
 
 INFO "Testing --add-coverage flag for a collection"
 anvi-estimate-metabolism -c CONTIGS.db \
@@ -154,8 +231,11 @@ anvi-estimate-metabolism -c CONTIGS.db \
                          -C bins_for_testing \
                          -O collection_coverage \
                          --add-coverage \
-                         --output-modes modules,hits_in_modules
+                         --output-modes modules,hits \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 SHOW_FILE collection_coverage_modules.txt
+SHOW_FILE collection_coverage_hits.txt
 
 INFO "Testing --add-coverage for metagenome mode"
 anvi-estimate-metabolism -c CONTIGS.db \
@@ -163,13 +243,19 @@ anvi-estimate-metabolism -c CONTIGS.db \
                          --metagenome-mode \
                          -O metagenome_coverage \
                          --add-coverage \
-                         --output-modes modules,hits_in_modules
+                         --output-modes modules,hits \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
+SHOW_FILE metagenome_coverage_modules.txt
+SHOW_FILE metagenome_coverage_hits.txt
 
 INFO "Listing custom output headers with --add-coverage enabled"
 anvi-estimate-metabolism -c CONTIGS.db \
                          -p PROFILE.db \
                          --add-coverage \
-                         --list-available-output-headers
+                         --list-available-output-headers \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
 
 INFO "Generating custom output with --add-coverage enabled"
 anvi-estimate-metabolism -c CONTIGS.db \
@@ -177,4 +263,103 @@ anvi-estimate-metabolism -c CONTIGS.db \
                          --add-coverage \
                          --output-modes modules_custom \
                          -O modules_custom_coverage \
-                         --custom-output-headers module,module_is_complete,DAY_15A_gene_coverages,DAY_15A_avg_coverage,DAY_15A_gene_detection,DAY_15A_avg_detection
+                         --custom-output-headers module,pathwise_module_is_complete,DAY_15A_gene_coverages,DAY_15A_avg_coverage,DAY_15A_gene_detection,DAY_15A_avg_detection \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
+SHOW_FILE modules_custom_coverage_modules_custom.txt
+
+
+## COPY NUMBER TESTS
+INFO "Testing --add-copy-number in long-format output"
+anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db \
+                         -O copy_num \
+                         --add-copy-number \
+                         --output-modes modules,module_paths,module_steps \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
+SHOW_FILE copy_num_modules.txt
+SHOW_FILE copy_num_module_paths.txt
+SHOW_FILE copy_num_module_steps.txt
+
+INFO "Testing --add-copy-number in matrix output"
+anvi-estimate-metabolism -e external-genomes.txt \
+                         -O copy_num \
+                         --add-copy-number \
+                         --matrix-format \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
+SHOW_FILE copy_num-module_pathwise_copy_number-MATRIX.txt
+SHOW_FILE copy_num-module_stepwise_copy_number-MATRIX.txt
+SHOW_FILE copy_num-step_copy_number-MATRIX.txt
+
+INFO "Listing custom output headers with --add-copy-number enabled"
+anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db \
+                         --add-copy-number \
+                         --list-available-output-headers \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
+
+INFO "Generating custom output with --add-copy-number enabled (including path-level headers)"
+anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db \
+                          --add-copy-number \
+                          --output-modes modules_custom \
+                          -O modules_custom_copynum_path \
+                          --custom-output-headers module,path,pathwise_copy_number,num_complete_copies_of_path,stepwise_copy_number,per_step_copy_numbers \
+                          --no-progress \
+                         --kegg-data-dir $kegg_data_dir
+SHOW_FILE modules_custom_copynum_path_modules_custom.txt
+
+INFO "Generating custom output with --add-copy-number enabled (including step-level headers)"
+anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db \
+                          --add-copy-number \
+                          --output-modes modules_custom \
+                          -O modules_custom_copynum_step \
+                          --custom-output-headers module,step,pathwise_copy_number,stepwise_copy_number,per_step_copy_numbers,step_copy_number \
+                          --no-progress \
+                         --kegg-data-dir $kegg_data_dir
+SHOW_FILE modules_custom_copynum_step_modules_custom.txt
+
+
+## ENZYMES TXT TESTS
+INFO "Testing enzymes txt input (no coverage/detection)"
+anvi-estimate-metabolism --enzymes-txt minimal_enzymes_input.txt \
+                         -O enzymes_txt \
+                         --output-modes hits,module_paths,module_steps,modules \
+                         --no-progress \
+                         --kegg-data-dir $kegg_data_dir
+SHOW_FILE enzymes_txt_modules.txt
+SHOW_FILE enzymes_txt_module_paths.txt
+SHOW_FILE enzymes_txt_module_steps.txt
+SHOW_FILE enzymes_txt_hits.txt
+
+INFO "Testing enzymes txt input (--add-coverage enabled)"
+anvi-estimate-metabolism --enzymes-txt cov_det_enzymes_input.txt \
+                          -O enzymes_txt_cov \
+                          --add-coverage \
+                          --output-modes hits,module_paths,module_steps,modules \
+                          --no-progress \
+                         --kegg-data-dir $kegg_data_dir
+SHOW_FILE enzymes_txt_cov_modules.txt
+SHOW_FILE enzymes_txt_cov_module_paths.txt
+SHOW_FILE enzymes_txt_cov_module_steps.txt
+SHOW_FILE enzymes_txt_cov_hits.txt
+
+
+## ENRICHMENT TESTS
+INFO "Testing metabolic enrichment script"
+anvi-compute-metabolic-enrichment -M long_format_multi_modules.txt \
+                                  -G groups.txt \
+                                  -o enrichment.txt \
+                                  --no-progress
+SHOW_FILE enrichment.txt
+
+INFO "Testing metabolic enrichment with --include-samples-missing-from-groups-txt"
+anvi-compute-metabolic-enrichment -M long_format_multi_modules.txt \
+                                  -G groups_with_missing_sample.txt \
+                                  --include-samples-missing-from-groups-txt \
+                                  -o enrichment_ungrouped.txt \
+                                  --no-progress
+SHOW_FILE enrichment_ungrouped.txt
+
+# clean up
+rm -rf $kegg_data_dir
diff --git a/anvio/tests/run_gen_gene_level_stats_tests.sh b/anvio/tests/run_gen_gene_level_stats_tests.sh
index f2a61df2fe..434f12380d 100755
--- a/anvio/tests/run_gen_gene_level_stats_tests.sh
+++ b/anvio/tests/run_gen_gene_level_stats_tests.sh
@@ -12,6 +12,9 @@ cp $inseq_files/CONTIGS.db $output_dir/CONTIGS.db
 cp $inseq_files/PROFILE.db $output_dir/PROFILE.db
 cp $inseq_files/AUXILIARY-DATA.db $output_dir/AUXILIARY-DATA.db
 
+INFO "Migrate all dbs"
+anvi-migrate $output_dir/*db --migrate-quickly
+
 # Generate gene-level-stats database
 INFO "Computing gene level stats database"
 anvi-gen-gene-level-stats-databases -p $output_dir/PROFILE.db \
diff --git a/anvio/tests/run_migration_tests_for_ancient_anvio_databases.sh b/anvio/tests/run_migration_tests_for_ancient_anvio_databases.sh
new file mode 100755
index 0000000000..d5498ffb5f
--- /dev/null
+++ b/anvio/tests/run_migration_tests_for_ancient_anvio_databases.sh
@@ -0,0 +1,66 @@
+#!/bin/bash
+source 00.sh
+set -e
+
+# this is necessary for any system that will run these tests
+# due to some historical crap:
+pip install h5py==2.8.0
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+cd $output_dir
+
+#########################################################################################
+
+#TEST="POUCHITIS_METAGENOMES_FROM_2015"
+#mkdir $TEST && cd $TEST
+#INFO "[$TEST] Downloading the data pack"
+#curl -L https://ndownloader.figshare.com/files/6035580 -o P214-MERGED.tar.gz
+#INFO "[$TEST] Unpacking"
+#tar -zxvf P214-MERGED.tar.gz && cd P214-MERGED/
+#INFO "[$TEST] Migrating databases"
+#anvi-migrate *db --migrate-safely
+#INFO "[$TEST] Downloading state"
+#curl -L http://merenlab.org/files/P-214-state.json -o P-214-state.json
+#INFO "[$TEST] Importing state"
+#anvi-import-state -p PROFILE.db -n default -s P-214-state.json
+#INFO "[$TEST] Running the interactive interface (--dry)"
+#anvi-interactive -p PROFILE.db -c CONTIGS.db --split-hmm-layers --dry
+#INFO "[$TEST] Setting up SCG taxonomy databases"
+#anvi-setup-scg-taxonomy --redo-databases --num-threads 4
+#INFO "[$TEST] Running SCG taxonomy"
+#anvi-run-scg-taxonomy -c CONTIGS.db --num-threads 4
+#INFO "[$TEST] Estimating SCG taxonomy"
+#anvi-estimate-scg-taxonomy -p PROFILE.db -c CONTIGS.db -C FINAL
+#INFO "[$TEST] Done!"
+#cd ..
+
+#########################################################################################
+
+TEST="A_TARA_MAG_FROM_2017"
+mkdir $TEST && cd $TEST
+INFO "[$TEST] Downloading the data pack"
+curl -L https://ndownloader.figshare.com/files/8248433 -o TARA_ANW_MAG_00006.tar.gz
+INFO "[$TEST] Unpacking"
+tar -zxvf TARA_ANW_MAG_00006.tar.gz && cd TARA_ANW_MAG_00006
+gzip -d AUXILIARY-DATA.h5.gz
+INFO "[$TEST] Migrating databases"
+anvi-migrate PROFILE.db CONTIGS.db --migrate-quickly
+INFO "[$TEST] Running the interactive interface (--dry)"
+anvi-interactive -p PROFILE.db -c CONTIGS.db --dry
+INFO "[$TEST] Setting up SCG taxonomy databases"
+anvi-setup-scg-taxonomy --redo-databases --num-threads 4
+INFO "[$TEST] Running HMMs"
+anvi-run-hmms -c CONTIGS.db -T 4
+INFO "[$TEST] Estimating genome completeness"
+anvi-estimate-genome-completeness -c CONTIGS.db
+INFO "[$TEST] Running SCG taxonomy"
+anvi-run-scg-taxonomy -c CONTIGS.db --num-threads 4
+INFO "[$TEST] Estimating SCG taxonomy"
+anvi-estimate-scg-taxonomy -c CONTIGS.db
+INFO "[$TEST] Done!"
+cd ..
+
+#########################################################################################
diff --git a/anvio/tests/run_pangenome_tests.sh b/anvio/tests/run_pangenome_tests.sh
index f53e34bcab..7bc1e96193 100755
--- a/anvio/tests/run_pangenome_tests.sh
+++ b/anvio/tests/run_pangenome_tests.sh
@@ -6,57 +6,91 @@ SETUP_WITH_OUTPUT_DIR $1 $2
 #####################################
 
 INFO "Setting up the pan analysis directory"
-mkdir $output_dir/pan_test
-cp $files/mock_data_for_pangenomics/*.fa                      $output_dir/pan_test/
-cp $files/mock_data_for_pangenomics/functions/*functions*     $output_dir/pan_test/
-cp $files/mock_data_for_pangenomics/external-genomes.txt      $output_dir/pan_test/
-cp $files/mock_data_for_pangenomics/example-gene-clusters-collection.txt $output_dir/pan_test/
-cp $files/mock_data_for_pangenomics/default-state.json        $output_dir/pan_test/
-cp $files/example_description.md                              $output_dir/pan_test/
-cp $files/mock_data_for_pangenomics/group-information.txt     $output_dir/pan_test/
-cd $output_dir/pan_test
-
-INFO "Generating contigs databases for external genomes"
-anvi-gen-contigs-database -f 01.fa -o 01.db
-anvi-gen-contigs-database -f 02.fa -o 02.db
-anvi-gen-contigs-database -f 03.fa -o 03.db
-
-INFO "Running HMMs (quietly)"
-anvi-run-hmms -c 01.db --quiet
-anvi-run-hmms -c 02.db --quiet
-anvi-run-hmms -c 03.db --quiet
-
-INFO "Importing functions into the contigs database"
-anvi-import-functions -c 01.db -i 01-functions.txt
-anvi-import-functions -c 02.db -i 02-functions.txt
-anvi-import-functions -c 03.db -i 03-functions.txt
+mkdir -p $output_dir/
+cp $files/mock_data_for_pangenomics/*.db                      $output_dir/
+cp $files/mock_data_for_pangenomics/external-genomes.txt      $output_dir/
+cp $files/mock_data_for_pangenomics/example-gene-clusters-collection.txt $output_dir/
+cp $files/mock_data_for_pangenomics/scg-gene-clusters-for-phylogenomics.txt $output_dir/
+cp $files/mock_data_for_pangenomics/default-state.json        $output_dir/
+cp $files/example_description.md                              $output_dir/
+cp $files/mock_data_for_pangenomics/group-information.txt     $output_dir/
+cd $output_dir/
 
 INFO "Generating an anvi'o genomes storage"
-anvi-gen-genomes-storage -e external-genomes.txt -o TEST-GENOMES.db
+anvi-gen-genomes-storage -e external-genomes.txt \
+                         -o TEST-GENOMES.db \
+                         --no-progress
 
 INFO "Running the pangenome anaysis with default parameters"
-anvi-pan-genome -g TEST-GENOMES.db -o TEST/ -n TEST --use-ncbi-blast --description example_description.md
+anvi-pan-genome -g TEST-GENOMES.db \
+                -o TEST/ \
+                -n TEST \
+                --use-ncbi-blast \
+                --description example_description.md \
+                --no-progress
 
 INFO "Running ANI on genomes and storing results in the PAN database"
-anvi-compute-genome-similarity -e external-genomes.txt --program pyANI -o ANI_TEST --log-file ANI_LOG.txt -p TEST/TEST-PAN.db
+anvi-compute-genome-similarity -e external-genomes.txt \
+                               --program pyANI \
+                               -o ANI_TEST \
+                               --log-file ANI_LOG.txt \
+                               -p TEST/TEST-PAN.db \
+                               --no-progress
 
 INFO "Running the pangenome analysis again utilizing previous search results"
-anvi-pan-genome -g TEST-GENOMES.db -o TEST/ -n ANOTHER_TEST --use-ncbi-blast --min-occurrence 2 --description example_description.md
-
-INFO "Importing an example collection of gene clusters"
-anvi-import-collection -p TEST/TEST-PAN.db -C test_collection example-gene-clusters-collection.txt
+anvi-pan-genome -g TEST-GENOMES.db \
+                -o TEST/ \
+                -n ANOTHER_TEST \
+                --use-ncbi-blast \
+                --min-occurrence 2 \
+                --description example_description.md \
+                --no-progress
+
+INFO "Importing collections of gene clusters"
+anvi-import-collection -p TEST/TEST-PAN.db \
+                       -C test_collection example-gene-clusters-collection.txt \
+                       --no-progress
+
+anvi-import-collection -p TEST/TEST-PAN.db \
+                       -C collection_for_phylogenomics scg-gene-clusters-for-phylogenomics.txt \
+                       --no-progress
 
 INFO "Exporting the collection 'test_collection'"
-anvi-export-collection -p TEST/TEST-PAN.db -C test_collection -O exported_collection --include-unbinned
+anvi-export-collection -p TEST/TEST-PAN.db \
+                       -C test_collection \
+                       -O exported_collection \
+                       --include-unbinned \
+                       --no-progress
 
 INFO "List available aligners for aligning sequences in gene clusters"
 anvi-get-sequences-for-gene-clusters --list-aligners
 
 INFO "Exporting aligned amino acid sequences for some gene clusters"
-anvi-get-sequences-for-gene-clusters -p TEST/TEST-PAN.db -g TEST-GENOMES.db -C test_collection -b GENE_CLUSTER_BIN_1_CORE -o aligned_gene_sequences_in_GENE_CLUSTER_BIN_1_CORE_AA.fa
+anvi-get-sequences-for-gene-clusters -p TEST/TEST-PAN.db \
+                                     -g TEST-GENOMES.db \
+                                     -C test_collection \
+                                     -b GENE_CLUSTER_BIN_1_CORE \
+                                     -o aligned_gene_sequences_in_GENE_CLUSTER_BIN_1_CORE_AA.fa \
+                                     --no-progress
+
+mkdir SPLIT_GENE_CLUSTER_FILES
+INFO "Exporting aligned amino acid sequences for some gene clusters as individual files"
+anvi-get-sequences-for-gene-clusters -p TEST/TEST-PAN.db \
+                                     -g TEST-GENOMES.db \
+                                     -C test_collection \
+                                     -b GENE_CLUSTER_BIN_1_CORE \
+                                     --split-output-per-gene-cluster \
+                                     -O SPLIT_GENE_CLUSTER_FILES/MY_PROJECT \
+                                     --no-progress
 
 INFO "Exporting aligned DNA sequences for some gene clusters"
-anvi-get-sequences-for-gene-clusters -p TEST/TEST-PAN.db -g TEST-GENOMES.db -C test_collection -b GENE_CLUSTER_BIN_1_CORE -o aligned_gene_sequences_in_GENE_CLUSTER_BIN_1_CORE_DNA.fa --report-DNA-sequences
+anvi-get-sequences-for-gene-clusters -p TEST/TEST-PAN.db \
+                                     -g TEST-GENOMES.db \
+                                     -C test_collection \
+                                     -b GENE_CLUSTER_BIN_1_CORE \
+                                     -o aligned_gene_sequences_in_GENE_CLUSTER_BIN_1_CORE_DNA.fa \
+                                     --report-DNA-sequences \
+                                     --no-progress
 
 INFO "First five line from the AA output"
 head -n 5 aligned_gene_sequences_in_GENE_CLUSTER_BIN_1_CORE_AA.fa
@@ -67,29 +101,49 @@ head -n 5 aligned_gene_sequences_in_GENE_CLUSTER_BIN_1_CORE_DNA.fa
 INFO "Importing group information as misc data for layers"
 anvi-import-misc-data -p TEST/TEST-PAN.db \
                       -t layers \
-                      group-information.txt
+                      group-information.txt \
+                      --no-progress
 
 INFO "Estimating enriched functions per pan group"
 anvi-compute-functional-enrichment-in-pan -p TEST/TEST-PAN.db \
                                           -g TEST-GENOMES.db \
                                           --category group \
-                                          --annotation-source COG_FUNCTION \
+                                          --annotation-source COG20_FUNCTION \
                                           -o functions-enrichment.txt \
-                                          -F functional-occurence.txt
+                                          -F functional-occurence.txt \
+                                          --no-progress
 SHOW_FILE functions-enrichment.txt
 SHOW_FILE functional-occurence.txt
 
-INFO "Exporting concatenated amino acid sequences for some gene clusters for phylogenomics"
-anvi-get-sequences-for-gene-clusters -p TEST/TEST-PAN.db -g TEST-GENOMES.db -C test_collection -b GENE_CLUSTER_BIN_1_CORE -o aligned_gene_sequences_in_GENE_CLUSTER_BIN_1_CORE_AA.fa --concatenate-gene-clusters
+INFO "Exporting concatenated amino acid sequences for some SCG gene clusters for phylogenomics"
+anvi-get-sequences-for-gene-clusters -p TEST/TEST-PAN.db \
+                                     -g TEST-GENOMES.db \
+                                     -C collection_for_phylogenomics \
+                                     -b SCGs \
+                                     -o SOME_VARIABLE_SCGs.fa \
+                                     --concatenate-gene-clusters \
+                                     --no-progress
 
 INFO "Summarizing the pan, using the test collection (in quick mode)"
-anvi-summarize -p TEST/TEST-PAN.db -g TEST-GENOMES.db -C test_collection -o TEST_SUMMARY_QUICK --quick
+anvi-summarize -p TEST/TEST-PAN.db \
+               -g TEST-GENOMES.db \
+               -C test_collection \
+               -o TEST_SUMMARY_QUICK \
+               --quick \
+               --no-progress
 
 INFO "Summarizing the pan, using the test collection"
-anvi-summarize -p TEST/TEST-PAN.db -g TEST-GENOMES.db -C test_collection -o TEST_SUMMARY
+anvi-summarize -p TEST/TEST-PAN.db \
+               -g TEST-GENOMES.db \
+               -C test_collection \
+               -o TEST_SUMMARY \
+               --no-progress
 
 INFO "Splitting bins in the pan genome into smaller, self-contained pan databases"
-anvi-split -p TEST/TEST-PAN.db -g TEST-GENOMES.db -C test_collection -o TEST_SPLIT_PAN
+anvi-split -p TEST/TEST-PAN.db \
+           -g TEST-GENOMES.db \
+           -C test_collection \
+           -o TEST_SPLIT_PAN
 
 INFO "Resulting split pans"
 ls -l TEST_SPLIT_PAN/*/*db
@@ -98,13 +152,15 @@ INFO "Taking a look at the make up one of the split pans"
 anvi-db-info TEST_SPLIT_PAN/GENE_CLUSTER_BIN_1_CORE/PAN.db
 
 INFO "Listing collections available"
-anvi-show-collections-and-bins -p TEST/TEST-PAN.db
+anvi-show-collections-and-bins -p TEST/TEST-PAN.db \
+                               --no-progress
 
 INFO "Computing homogeneity for a single gene cluster"
 anvi-compute-gene-cluster-homogeneity -p TEST/TEST-PAN.db \
                                       -g TEST-GENOMES.db \
                                       --gene-cluster-id GC_00000001 \
-                                      -o gene_cluster_homogeneity_results.txt
+                                      -o gene_cluster_homogeneity_results.txt \
+                                      --no-progress
 SHOW_FILE gene_cluster_homogeneity_results.txt
 
 INFO "Computing homogeneity for a list of gene clusters"
@@ -112,16 +168,18 @@ echo -e "GC_00000001\nGC_00000003" > gene_clusters_for_homogeneity.txt
 anvi-compute-gene-cluster-homogeneity -p TEST/TEST-PAN.db \
                                       -g TEST-GENOMES.db \
                                       --gene-cluster-ids gene_clusters_for_homogeneity.txt \
-                                      -o gene_cluster_homogeneity_results.txt
+                                      -o gene_cluster_homogeneity_results.txt \
+                                      --no-progress
 SHOW_FILE gene_cluster_homogeneity_results.txt
 
 INFO "Computing homogeneity for gene clusters in a bin"
 anvi-compute-gene-cluster-homogeneity -p TEST/TEST-PAN.db \
                                       -g TEST-GENOMES.db \
                                       -C test_collection \
-                                      -b GENE_CLUSTER_BIN_2_G01_G02 \
+                                      -b GENE_CLUSTER_BIN_2 \
                                       -o gene_cluster_homogeneity_results.txt \
-                                      --num-threads 2
+                                      --num-threads 2 \
+                                      --no-progress
 SHOW_FILE gene_cluster_homogeneity_results.txt
 
 INFO "Importing the default state for pretty outputs"
@@ -132,10 +190,12 @@ INFO "Displaying the initial pangenome analysis results"
 anvi-display-pan -p TEST/TEST-PAN.db \
                  -g TEST-GENOMES.db \
                  --title "A mock pangenome analysis" \
+                 --no-progress \
                  $dry_run_controller
 
 INFO "Displaying the second pangenome analysis results"
 anvi-display-pan -p TEST/ANOTHER_TEST-PAN.db \
                  -g TEST-GENOMES.db \
                  --title "A mock pangenome analysis (with --min-occurrence 2)" \
+                 --no-progress \
                  $dry_run_controller
diff --git a/anvio/tests/run_trnaseq_tests.sh b/anvio/tests/run_trnaseq_tests.sh
index 206d5de144..af43f79d5c 100755
--- a/anvio/tests/run_trnaseq_tests.sh
+++ b/anvio/tests/run_trnaseq_tests.sh
@@ -46,3 +46,5 @@ INFO "Firing up the interactive interface with the \"combined\" profile database
 anvi-interactive -p ${output_dir}/CONVERTED/COMBINED_COVERAGE/PROFILE.db \
                  -c ${output_dir}/CONVERTED/CONTIGS.db \
                  ${dry_run_controller}
+
+rm blast-log.txt
diff --git a/anvio/tests/sandbox/data/input_files/groups_with_missing_sample.txt b/anvio/tests/sandbox/data/input_files/groups_with_missing_sample.txt
new file mode 100644
index 0000000000..05a18c68fe
--- /dev/null
+++ b/anvio/tests/sandbox/data/input_files/groups_with_missing_sample.txt
@@ -0,0 +1,3 @@
+name	group
+P_marinus	BACT
+B_thetaiotamicron	BACT
diff --git a/anvio/tests/sandbox/mock_data_for_inversions/01_FASTQ/S01-R1.fastq.gz b/anvio/tests/sandbox/mock_data_for_inversions/01_FASTQ/S01-R1.fastq.gz
new file mode 100644
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diff --git a/anvio/tests/sandbox/mock_data_for_inversions/01_FASTQ/S01-R2.fastq.gz b/anvio/tests/sandbox/mock_data_for_inversions/01_FASTQ/S01-R2.fastq.gz
new file mode 100644
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diff --git a/anvio/tests/sandbox/mock_data_for_inversions/01_FASTQ/S02-R1.fastq.gz b/anvio/tests/sandbox/mock_data_for_inversions/01_FASTQ/S02-R1.fastq.gz
new file mode 100644
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diff --git a/anvio/tests/sandbox/mock_data_for_inversions/01_FASTQ/S02-R2.fastq.gz b/anvio/tests/sandbox/mock_data_for_inversions/01_FASTQ/S02-R2.fastq.gz
new file mode 100644
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diff --git a/anvio/tests/sandbox/mock_data_for_inversions/01_FASTQ/S03-R1.fastq.gz b/anvio/tests/sandbox/mock_data_for_inversions/01_FASTQ/S03-R1.fastq.gz
new file mode 100644
index 0000000000000000000000000000000000000000..1d37eabdf533ac8d619fbf1fc8588cd19ebed54b
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diff --git a/anvio/tests/sandbox/mock_data_for_inversions/01_FASTQ/S03-R2.fastq.gz b/anvio/tests/sandbox/mock_data_for_inversions/01_FASTQ/S03-R2.fastq.gz
new file mode 100644
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diff --git a/anvio/tests/sandbox/mock_data_for_inversions/02_CONTIGS/CONTIGS.db b/anvio/tests/sandbox/mock_data_for_inversions/02_CONTIGS/CONTIGS.db
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diff --git a/anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S01.bam b/anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S01.bam
new file mode 100644
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diff --git a/anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S01.bam.bai b/anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S01.bam.bai
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diff --git a/anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S02.bam b/anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S02.bam
new file mode 100644
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diff --git a/anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S02.bam.bai b/anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S02.bam.bai
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zk+|5|G<mJh{6MbN{h_>76977`>WB5NRg-G}Es`?$SFmb-uWF3(OokKSy%}(pvHra2
z-O?%CEeD;my_;uyovqD=>d!`vtPp-??j3w95q4e7FDJtY+u$3KKCa)aY&IH9J6A(Q
z3U<Xcm=+NSq3byaowLKUEBGy7u3LA1Z+Vt4mpye^IHj36wkKzbOORp1QOyb9Qq`EP
zQ+LRtEjV*_XTpj?;o1_GadMRsrkpwMxS3%vqnfMORY%kF$>q4eoGP>B+lcV@0kkon
kHT%K<03VA81ONa4009360763o02=@U000000000007Fs55dZ)H

literal 0
HcmV?d00001

diff --git a/anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S03.bam.bai b/anvio/tests/sandbox/mock_data_for_inversions/03_MAPPING/S03.bam.bai
new file mode 100644
index 0000000000000000000000000000000000000000..9ece8256c33e62d4dbb22954d52c99aa4822516d
GIT binary patch
literal 176
zcmZ>A^kigWU|;}YPay^dMj*|=Py?nOZ8Dt%;&}l{kUYBhPKY2_21Fq1MK%v+4g<s0
T5|A30dFbN5u$YHX1F;4G7W@>`

literal 0
HcmV?d00001

diff --git a/anvio/tests/sandbox/mock_data_for_inversions/bams-and-profiles.txt b/anvio/tests/sandbox/mock_data_for_inversions/bams-and-profiles.txt
new file mode 100644
index 0000000000..0cfe643fc8
--- /dev/null
+++ b/anvio/tests/sandbox/mock_data_for_inversions/bams-and-profiles.txt
@@ -0,0 +1,4 @@
+name	contigs_db_path	profile_db_path	bam_file_path	r1	r2
+S01	02_CONTIGS/CONTIGS.db	04_PROFILE/S01/PROFILE.db	03_MAPPING/S01.bam	01_FASTQ/S01-R1.fastq.gz	01_FASTQ/S01-R2.fastq.gz
+S02	02_CONTIGS/CONTIGS.db	04_PROFILE/S02/PROFILE.db	03_MAPPING/S02.bam	01_FASTQ/S02-R1.fastq.gz	01_FASTQ/S02-R2.fastq.gz
+S03	02_CONTIGS/CONTIGS.db	04_PROFILE/S03/PROFILE.db	03_MAPPING/S03.bam	01_FASTQ/S03-R1.fastq.gz	01_FASTQ/S03-R2.fastq.gz
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/01.fa b/anvio/tests/sandbox/mock_data_for_pangenomics/01.fa
deleted file mode 100644
index 82a453f8a7..0000000000
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/01.fa
+++ /dev/null
@@ -1,2000 +0,0 @@
->g3878254
-AGCTTTTCATTCTGACTGCAACGGGCAATATGTCTCTGTGTGGATTAAAAAAAGAGTGTCTGATAGCAGC
-TTCTGAACTGGTTACCTGCCGTGAGTAAATTAAAATTTTATTGACTTAGGTCACTAAATACTTTAACCAA
-TATAGGCATAGCGCACAGACAGATAAAAATTACAGAGTACACAACATCCATGAAACGCATTAGCACCACC
-ATTACCACCACCATCACCATTACCACAGGTAACGGTGCGGGCTGACGCGTACAGGAAACACAGAAAAAAG
-CCCGCACCTGACAGTGCGGGCTTTTTTTTCGACCAAAGGTAACGAGGTAACAACCATGCGAGTGTTGAAG
-TTCGGCGGTACATCAGTGGCAAATGCAGAACGTTTTCTGCGGGTTGCCGATATTCTGGAAAGCAATGCCA
-GGCAGGGGCAGGTGGCCACCGTCCTCTCTGCCCCCGCCAAAATCACCAACCACCTGGTGGCGATGATTGA
-AAAAACCATTAGCGGCCAGGATGCTTTACCCAATATCAGCGATGCCGAACGTATTTTTGCCGAACTTTTG
-ACGGGACTCGCCGCCGCCCAGCCGGGATTCCCGCTGGCGCAATTGAAAACTTTCGTCGATCAGGAATTTG
-CCCAAATAAAACATGTCCTGCATGGCATTAGTTTGTTGGGGCAGTGCCCGGATAGCATCAACGCTGCGCT
-GATTTGCCGTGGCGAGAAAATGTCGATCGCCATTATGGCCGGCGTATTAGAAGCGCGCGGTCACAACGTT
-ACCGTTATCGATCCGGTCGAAAAACTGCTGGCAGTGGGGCATTACCTCGAATCTACCGTCGATATTGCTG
-AGTCCACCCGCCGTATTGCGGCAAGTCGCATTCCGGCTGATCACATGGTGCTGATGGCAGGTTTCACCGC
-CGGTAATGAAAAAGGCGAACTGGTGGTACTTGGACGCAACGGTTCCGACTACTCCGCGGCGGTGCTGGCT
-GCCTGTTTACGCGCCGATTGTTGCGAGATTTGGACGGACGTTGACGGGGTCTATACCTGCGACCCGCGTC
-AGGTGCCCGATGCGAGGTTGTTGAAGTCGATGTCCTACCAGGAAGCGATGGAGCTTTCCTACTTCGGCGC
-TAAAGTTCTTCACCCCCGCACCATTACCCCCATCGCCCAGTTCCAGATCCCTTGCCTGATTAAAAATACC
-GGAAATCCTCAAGCTCCAGGTACGCTCATTGGTGCCAGCCGTGATGAAGACGAATTACCGGTCAAGGGCA
-TTTCCAATCTGAATAATATGGCAATGTTCAGCGTTTCCGGCCCGGGGATGAAAGGGATGGTTGGCATGGC
-GGCGCGCGTGTTTGCAGCGATGTCACGCGCCCGTATTTCCGTGGTGCTGATTACGCAATCATCTTCCGAA
-TACAGTATCAGTTTCTGCGTTCCGCAAAGCGACTGTGTGCGAGCTGAACGGGCAATGCAGGAAGAGTTCT
-ACCTGGAACTGAAAGAAGGCTTACTGGAGCCGCTGGCGGTGACGGAACGGCTGGCCATTATCTCGGTGGT
-AGGTGATGGTATGCGCACCTTGCGTGGGATCTCGGCGAAATTCTTTGCCGCGCTGGCCCGCGCCAATATC
-AACATTGTCGCCATTGCTCAGGGATCTTCTGAACGCTCAATCTCTGTCGTGGTAAATAACGATGATGCGA
-CCACTGGCGTGCGCGTTACTCATCAGATGCTGTTCAATACCGATCAGGTTATCGAAGTGTTTGTGATTGG
-CGTCGGTGGCGTTGGCGGTGCGCTGCTGGAGCAACTGAAGCGTCAACAAAGCTGGCTGAAGAATAAACAT
-ATCGACTTACGTGTCTGCGGTGTTGCCAACTCGAAGGCACTGCTCACCAATGTGCATGGCCTAAATCTGG
-AAAACTGGCAGGAAGAACTGGCGCAAGCCAAAGAGCCGTTTAATCTCGGGCGCTTAATTCGCCTCGTGAA
-AGAATATCATCTGCTGAACCCGGTCATTGTTGACTGCACTTCCAGCCAGGCAGTGGCGGATCAATATGCC
-GACTTCTTGCGCGAAGGTTTCCACGTTGTCACGCCGAACAAAAAGGCCAACACCTCGTCGATGGATTACT
-ACCATCTGTTGCGTCATGCGGCGGAAAAATCGCGGCGTAAATTCCTCTATGACACCAACGTTGGGGCTGG
-ATTACCGGTTATTGAGAACCTGCAAAATCTGCTCAATGCTGGTGATGAATTGATGAAGTTCTCCGGCATT
-CTTTCAGGTTCGCTTTCTTATATCTTCGGCAAGTTAGACGAAGGCATGAGTTTCTCCGAGGCGACTACTC
-TGGCGCGGGAAATGGGTTATACCGAACCGGATCCGCGAGATGATCTTTCTGGTATGGATGTAGCGCGTAA
-GCTATTGATTCTCGCTCGTGAAACGGGACGTGAACTGGAGCTGGCGGATATTGAAATTGAACCTGTGCTG
-CCCGCAGAGTTTAACGCTGAGGGTGATGTTGCCGCTTTTATGGCGAATCTGTCACAGCTCGACGATCTCT
-TTGCCGCGCGCGTGGCGAAGGCCCGTGATGAAGGAAAAGTTTTGCGCTATGTTGGCAATATTGATGAAGA
-TGGTGCCTGCCGCGTGAAGATTGCCGAAGTGGATGGTAATGATCCGCTGTTCAAAGTGAAAAATGGCGAA
-AACGCCCTGGCCTTTTATAGCCACTATTATCAGCCGCTGCCGTTGGTGCTGCGCGGATATGGTGCGGGCA
-ATGACGTTACAGCTGCCGGTGTCTTTGCCGATCTGCTACGTACCCTCTCATGGAAGTTAGGAGTCTGACA
-TGGTTAAAGTTTATGCCCCGGCTTCCAGTGCCAATATGAGCGTCGGGTTTGATGTGCTCGGGGCGGCGGT
-GACACCTGTTGATGGTGCATTGCTCGGAGATGTAGTCACGGTTGAGGCGGCAGAGACATTCAGTCTCAAC
-AACCTCGGACGCTTTGCCGATAAGCTGCCGTCAGAACCACGGGAAAATATCGTTTATCAGTGCTGGGAGC
-GTTTTTGCCAGGAGCTTGGCAAGCAAATTCCAGTGGCGATGACTCTGGAAAAGAATATGCCAATCGGTTC
-GGGCTTAGGCTCCAGCGCCTGTTCGGTGGTCGCGGCGCTGATGGCGATGAATGAACACTGTGGCAAGCCG
-CTTAATGACACTCGTTTGCTGGCTTTGATGGGCGAGCTGGAAGGACGAATCTCCGGCAGCATTCATTACG
-ACAACGTGGCACCGTGTTTTCTTGGTGGTATGCAGTTGATGATCGAAGAAAACGACATCATCAGCCAGCA
-AGTGCCAGGGTTTGATGAGTGGCTGTGGGTGCTGGCGTATCCGGGGATTAAAGTCTCGACGGCAGAAGCC
-AGGGCTATTTTACCGGCGCAGTATCGCCGCCAGGATTGCATTGCGCACGGGCGACATCTGGCTGGCTTCA
-TTCACGCCTGCTATTCCCGTCAGCCTGAGCTTGCCGCGAAGCTGATGAAAGATGTTATCGCTGAACCCTA
-CCGTGAACGGTTACTGCCTGGCTTCCGGCAGGCGCGGCAGGCGGTTGCGGAAATCGGCGCGGTAGCGAGC
-GGTATCTCCGGCTCCGGCCCGACCTTGTTCGCTCTGTGTGACAAGCCGGATACCGCCCAGCGCGTTGCCG
-ACTGGTTGGGTAAGAACTACCTGCAAAATCAGGAAGGTTTTGTTCATATTTGCCGGCTGGATACGGCGGG
-CGCACGAGTACTGGAAAACTAAATGAAACTCTACAATCTGAAAGATCACAATGAGCAGGTCAGCTTTGCG
-CAAGCCGTAACCCAGGGGTTGGGCAAAAATCAGGGGCTGTTTTTTCCGCACGACCTGCCGGAATTCAGCC
-TGACTGAAATTGATGAGATGCTGAAGCTGGATTTTGTCACCCGCAGTGCGAAGATCCTCTCGGCGTTTAT
-TGGTGATGAAATCCCGCAGGAAATCCTGGAAGAGCGCGTGCGCGCGGCGTTTGCCTTCCCGGCTCCGGTC
-GCCAATGTTGAAAGCGATGTCGGTTGTCTGGAATTGTTCCACGGGCCAACGCTGGCATTTAAAGATTTCG
-GCGGTCGCTTTATGGCACAAATGCTGACCCATATTGCGGGCGATAAGCCAGTGACCATTCTGACCGCGAC
-CTCCGGTGATACCGGAGCGGCAGTGGCTCATGCTTTCTACGGTTTACCGAATGTGAAAGTGGTTATCCTC
-TATCCACGAGGCAAAATCAGTCCACTGCAAGAAAAACTGTTCTGTACATTGGGCGGCAATATCGAAACTG
-TTGCCATCGACGGCGATTTCGATGCCTGTCAGGCGCTGGTGAAGCAGGCGTTTGATGATGAAGAGCTGAA
-AGTGGCGCTGGGGTTAAACTCAGCTAACTCGATTAACATCAGCCGTTTGCTGGCGCAGATTTGCTACTAC
-TTTGAAGCAGTTGCGCAGCTGCCGCAGGAAGCGCGCAACCAGCTGGTTGTCTCGGTGCCAAGCGGAAACT
-TCGGCGATTTGACGGCGGGTCTGCTGGCGAAGTCACTCGGTCTGCCGGTGAAACGTTTTATTGCTGCGAC
-CAACGTGAACGATACCGTGCCACGTTTCCTGCACGACGGTCAGTGGTCACCCAAAGCGACTCAGGCGACG
-TTATCCAACGCGATGGACGTGAGTCAGCCGAACAACTGGCCGCGTGTGGAAGAGTTGTTCCGCCGCAAAA
-TCTGGCAACTGAAAGAGCTGGGTTATGCAGCCGTGGATGATGAAACCACGCAACAGACAATGCGTGAGTT
-AAAAGAACTGGGCTACACCTCGGAGCCGCACGCTGCCGTAGCGTATCGTGCGCTGCGTGACCAGTTGAAT
-CCAGGCGAATATGGCTTGTTCCTCGGCACCGCGCATCCGGCGAAATTTAAAGAGAGCGTGGAAGCGATTC
-TCGGTGAAACGTTGGATCTGCCAAAAGAGCTGGCAGAACGTGCTGATTTACCCTTGCTTTCACATAATCT
-GCCCGCCGATTTTGCTGCGTTGCGTAAATTGATGATGAATCATCAGTAAAATCTATTCATTATCTCAATC
-AGGCCGGGTTTGCTTTTATGCAGCCGGCTTTTTTATGAAGAAATTATGGAGAAAAACGACAGGGAAAAAG
-GAGAAATTCTCAATAAATGCGGTAACTTAGAGATTAGGATTGCGGAGAATAACAACCGTCGTTCTCATCG
-CGTAATCTCCGGATATCGACCCATAACGGGCAATGATAAAAGGAGTAACCTATGAAAAAGATGCAATCTA
-TCGTACTCGCACTTTCCCTGGTTCTGGTCGCTCCCATGGCAGCACAGGCTGCGGAAATTACGTTAGTCCC
-GTCAGTAAAATTACAGATAGGCGATCGTGATAATCGTGGCTATTACTGGGATGGAGGTCACTGGCGCGAC
-CACGGCTGGTGGAAACAACATTATGAATGGCGAGGCAATCGCTGGCACCCACACGGACCGCCGCCACCGC
-CGCGCCACCATAAGAAAGCTCCTCATGATCATCACGGCGGTCATGGTCCAGGCAAACATCACCGCTAAAT
-GACAAATGCCGGGTAACAATCCGGCATTCAGCGCCTGATGCGACGCTGGCGCGTCTTATCAGGCCTACGT
-GAATTCTGCAATATATTGAATCTGCATGCTTTTGTAGGCCGGATAAGGCGTTCACGCCGCATCCGGCATT
-GACTGCAAACTTAACGCTGCTCGTAGCGTTTAAACACCAGTTCGCCATTGCTGGAGGAAGCTTCATCAAA
-GAAGTAACCTTCGCTATTAAAACCAGTCAGTTGCTCTGGTTTGGTCAGCCGATTTTCAATAATAAAACGA
-CTCATCAGACCGCGTGCTTTCTTAGCGTAGAAGCTGATTATCTTAAATTTGCCGTTCTTCTCATCGAGGA
-ACACCGGCTTGATAATCTCGGCATTCAATTTCTTCGGCTTCACCGATTTAAAATACTCATCTGACGCCAG
-ATTAATCACCACATTATCGCCTTGTGCTGCGAGCGCCTCGTTCAGCTTGTTGGTGATGATATCTCCCCAG
-AATTGATACAGATCTTTCCCTCGGGCATTCTCAAGACGGATCCCCATTTCCAGACGATAAGGCTGCATTA
-AATCGAGCGGGCGCAGTACGCCATACAAGCCGGAAAGCATTCGCAAATGCTGTTGGGCAAAATCGAAATC
-GTCTTCGCTGAAGGTTTCGGCCTGCAAGCCGGTGTAGACATCACCTTTAAACGCCAGAATCGCCTGGCGG
-GCATTCTCCGGCGTGAAATCTGGCTGCCAGTCATGAAAGCGAGCGGCGTTGATACCCGCCAGTTTGTCGC
-TGATGCGCATCAGCGTGCTAATCTGCGGAGGCGTCAGTTTCCGCGCTTCATGGATCAACTGCTGGGAATT
-GTCTAACAGCTCCGGCAGCGTATAGCGCGTGGTGGTCAACGGGCTTTGGTAATCAAGCGTTTTCGCAGGT
-GAAATAAGAATCAGCATATCCAGTCCTTGCAGGAAATTTATGCCGACTTTAGCAAAAAAAGAGAATGAGT
-TGATCGATAGTTGTGATTACTCCTGCGAAACATCATCCCACGCGTCCGGAGAAAGCTGGCGGCCGATATC
-CGGATAACGCAACGGATCAAACACCGGGCGCACGCCGAGTTTACGCTGGCGTAGATAATCACTGGCAATG
-GTATGAACCACAGGCGAGAGCAGTAAAATGGCGGTCAAATTGGTAATAGCCATGCAGGCCATTATGATAT
-CTGCCAGTTGCCACATCAGCGGAAGACTTAGCAAGGTGCCGCCGATGACCGTTGCGAAGGTGCAGATCCG
-CAAACACCAGATCGCTTTAGGGTTGTTCAGGCGTAAAAAGAAGAGATTGTTTTCGGCGTAAATGTAGTTG
-GCAACGATGGAGCTGAAGGCAAACAGAATAACCACGAGGGTAACAAACTCAGCACCCCAGGAACCCATTA
-ACACCCGCATCGCCTTCTGGATAAGCTGAATACCTTCCAGCGGCATGTAGGTTGTGCCGTTACCCGCCAG
-TAATATCAGCATGGCGCTTGCCGTACAGATGACCAGGGTGTCGATAAAAATGCCAATCATCTGGACAATC
-CCTTGCGCTGCCGGATGCGGAGGCCAGGACGCCGCTGCCGCTGCCGCGTTTGGCGTCGACCCCATTCCCG
-CCTCATTGGAAAACATACTGCGCTGAAAACCGTTAGTAATCGCCTGGCTTAAGGTATATCCCGCCGCGCC
-GCCTGCCGCTTCCTGCCAGCCAAAAGCACTCTCAAAAATAGACCAAATGACGTGGGGAAGTTGCCCGATA
-TTCATTACGCAAATCACCAGGCTGGTCAGTACCCAGATTATCGCCATCAACGGGACAAACCCCTGCATGA
-GCCGGGCGACGCCATGAAGACCGCGAGTGATCGCCAGCAGAGCAAAGACAGCGAGAATAATACCTGTCAC
-CAGCGGGGGAAAATCAAAAGAAAAACTCAGGGCTCGCGCAACGGCGTTCGCCTGAATTCCGCTGAAAATT
-ATGCCGTAGGCGATGAGCAAAAAGACGGCGAACAGAACGCCCATCCAGCGCATCCCCAGCCCGCGCGCCA
-TATACCATGCCGGTCCGCCACGAAACTGCCCATTGGCATCACGTTCTTTATAAAGCTGTGCGAGGGAACA
-TTCGGCAAACGAGGTCGCCATGCCGATAAACGCGGCAACCCACATCCAGAAGACGGCTCCAGGTCCACCG
-GCGGTAATTGCCAGCGCAACGCCGGCCAGGTTGCCGCTACCCACGCGCGCCGCAAGACTGGTACACAATG
-ACTGAAATGAGGTTAAACCGCCTGGCTGTGGATGAATGCTATTTTTAAGACTTTTGCCAAACTGGCGGAT
-GTAGCGAAACTGCACAAATCCGGTGCGAAAAGTGAACCAACAACCTGCGCCGAAGAGCAGGTAAATCATT
-ACCGATCCCCAAAGGACGCTGTTAATAAAGGAGAAAAAATCTGGCATGCATATCCCTCTTATTGCCGGTC
-GCGATGACTTTCCTGTGTAAACGTTACCAATTGTTTAAGAAGTATATACGCTACGAGGTACTTGATAACT
-TCTGCGTAGCATACATGAGGTTTTGTATAAAAATGGCGGGCGATATCAACGCAGTGTCAGAAATCCGAAA
-CAGTCTCGCCTGGCGATAACCGTCTTGTCGGCGGTTGCGCTGACGTTGCGTCGTGATATCATCAGGGCAG
-ACCGGTTACATCCCCCTAACAAGCTGTTTAAAGAGAAATACTATCATGACGGACAAATTGACCTCCCTTC
-GTCAGTACACCACCGTAGTGGCCGACACTGGGGACATCGCGGCAATGAAGCTGTATCAACCGCAGGATGC
-CACAACCAACCCTTCTCTCATTCTTAACGCAGCGCAGATTCCGGAATACCGTAAGTTGATTGATGATGCT
-GTCGCCTGGGCGAAACAGCAGAGCAACGATCGCGCGCAGCAGATCGTGGACGCGACCGACAAACTGGCAG
-TAAATATTGGTCTGGAAATCCTGAAACTGGTTCCGGGCCGTATCTCAACTGAAGTTGATGCGCGTCTTTC
-CTATGACACCGAAGCGTCAATTGCGAAAGCAAAACGCCTGATCAAACTCTACAACGATGCTGGTATTAGC
-AACGATCGTATTCTGATCAAACTGGCTTCTACCTGGCAGGGTATCCGTGCTGCAGAACAGCTGGAAAAAG
-AAGGCATCAACTGTAACCTGACCCTGCTGTTCTCCTTCGCTCAGGCTCGTGCTTGTGCGGAAGCGGGCGT
-GTTCCTGATCTCGCCGTTTGTTGGCCGTATTCTTGACTGGTACAAAGCGAATACCGATAAGAAAGAGTAC
-GCTCCGGCAGAAGATCCGGGCGTGGTTTCTGTATCTGAAATCTACCAGTACTACAAAGAGCACGGTTATG
-AAACCGTGGTTATGGGCGCAAGCTTCCGTAACATCGGCGAAATTCTGGAACTGGCAGGCTGCGACCGTCT
-TACCATCGCACCTACACTGCTGAAAGAGCTGGCTGAGAGCGAAGGGGCTATCGAACGTAAACTGTCTTAC
-ACCGGCGAAGTGAAAGCGCGTCCGGCGCGTATCACTGAGTCCGAGTTCCTGTGGCAGCACAACCAGGATC
-CAATGGCAGTAGATAAACTGGCGGAAGGTATCCGTAAGTTTGCTATTGACCAGGAAAAACTGGAAAAAAT
-GATCGGCGATCTGCTGTAATCATTCTTAGCGTGACCGGGAAGTCGGTCACGCTACCTCTTCTGAAGCCTG
-TCTGTCACTCCCTTCGCAGTGTATCATTCTGTTTAACGAGACTGTTTAAACGGAAAAATCTTGATGAATA
-CTTTACGTATTGGCTTAGTTTCCATCTCTGATCGCGCATCCAGCGGCGTTTATCAGGATAAAGGCATCCC
-TGCGCTGGAAGAATGGCTGACATCGGCGCTAACCACGCCGTTTGAACTGGAAACCCGCTTAATCCCCGAT
-GAGCAGGCGATCATCGAGCAAACGTTGTGTGAGCTAGTGGATGAAATGAGTTGCCATCTGGTGCTCACCA
-CGGGCGGAACTGGCCCGGCGCGTCGTGACGTAACGCCCGATGCGACGCTGGCAGTAGCGGACCGCGAGAT
-GCCTGGCTTTGGTGAACAGATGCGCCAGATAAGCCTGCATTTTGTACCAACTGCGATCCTTTCGCGTCAG
-GTTGGTGTGATTCGCAAACAGGCGCTGATCCTTAACTTACCCGGTCAGCCGAAGTCTATTAAAGAGACGC
-TGGAAGGTGTGAAGGACGCTGCGGGTAACGTTGTGGTACACGGTATTTTTGCCAGCGTACCGTACTGCAT
-TCAGTTGCTGGAAGGGCCATACGTTGAAACGGCACCAGAAGTGGTTGCTGCATTCAGACCGAAGAGTGCA
-AGACGCGACGTTAGCGAATAAAAAAATCCCCCCGAGCGGGGGGATCTCAAAACAATTAGTGGGATTCACC
-AATCGGCAGAACGGTGCGACCAAACTGCTCGTTCAGTACTTCACCCATCGCCAGATAGATTGCACTGGCA
-CCACAGATCAGACCAATCCAGCCGGCAAAGTGGATGATTGCGGCGTTACCGGCAATGTTACCGATCGCCA
-GCAGGGCAAACAGCACAGTCAGGCTAAAGAAAACGAATTGCAGAACGCGTGCGCCTTTCAGCGTGCCGAA
-GAACATAAACAGCGTAAATACGCCCCACAGACCCAGGTAGACACCAAGGAACTGTGCATTTGGCGCATCG
-GTCAGACCCAGTTTCGGCATCAGCAGAATCGCAACCAACGTCAGCCAGAAAGAACCGTAAGAGGTGAATG
-CGGTTAAACCGAAAGTGTTGCCTTTTTTGTACTCCAGCAGACCGGCAAAAATTTGCGCGATGCCGCCGTA
-GAAAATGCCCATGGCAAGAATAATACCGTCCAGAGCGAAATAACCCACGTTGTGCAGGTTAAGCAGAATG
-GTGGTCATGCCGAAGCCCATCAGGCCCAGCGGTGCCGGATTAGCCAACTTAGTGTTGCCCATAATTCCTC
-AAAAATCATCATCGAATGAATGGTGAAATAATTTCCCTGAATAACAGTAGTGTTTTCAGGGCGCGGCATA
-ATAATCAGCCAGTGGGGCAGTGTCTACGATCTTTTGAGGGGAAAATGAAAATTTTCCCCGGTTTACGGTG
-TCAGACCTGAGTGGCGCTAACCATCCGGCGCAGGCAGGCGATTTGCAGTACGGCTGGAATTGTCACGCGA
-TAGGCACTGCCGCTGACCGCTTTAACCCCATTTAATGCTGCGCCCACAGGGCCTCCCAGACCCGCGCCGC
-GCAGCAAACCATGCCCAAGCACGCTCATTGCTGCGTGGGTGCGTAAAATGCGGGTCAATTGGCTGGAAAG
-CAAATGCGACACGCCTTTTGCCAATAATTTGTCTTTCATCAGCAGCGGCAGCAGCTCTTCCAGCTCATTC
-ACCCTGGCATCGACCGCGTGCAGAAACTCCTGCTTATGTTCCTCGTCCATATTCTTCCAGGTGTTACGCA
-GAAATTGTTCCAGTAACTGTTGCTCAATCTCAAACGTAGACATCTCTTTGTCGGCTTTCAGCTTCAATCG
-TTTTGAAACATCGAGCAAAATGGCCCGATACAATTTACCGTGTCCGCGCAGTTTGTTGGCGATACTATCG
-CCACCAAAATGCTGTAATTCTCCAGCAATCAGCTGCCAGTTGCGGCGATGTTGCTCGGGATGCCCTTCCA
-TCGATTTAAACAGTTCGTTGCGTATCAGTACGCTGGAGAGGCGAGTTTTGCCTTTTTCATTATGGGTGAG
-CAATCGGGCGAAATTTGCCAACTGTTCCTCACTACAATGCTGAAGAAAATCCAGATCTGAATCATTCAGG
-TAATTAACATTCATTTTTTGTGGTTTCTATATTCTGGCGTTAGTCGTCGCCGATAATTTTCAGCGTGGCC
-ATATCCGATGAGTTCACCGTATGACCGGAAAAGGTGATTTTTGAGACGCAGCGTTTATTGTCGTTATCAC
-TGTTAATGTTGATCCAGTCAGTGGTTTGCCCTTCTTTTATTTCTGAAGGAATATTCAGACTCTGACTGGC
-GCTACGGGCGGCTTTGAAATAAACCGATGCACCGCTTAACTGTAAATCGCCATGGTCGGCAGAGAGTTGT
-ATGCGTTTCACAATGCGACAAACAGGAAGTTTCAGCGCCAGATCGTTGGTTTCGTTACGCGGCATTGCAA
-TGACGCCGAGGAGTTTATGGTCGTTTGCCTGCGCCGTGCAGCACAGCATCAGGCTAATCGCCAGGCTGGC
-GGAAATCGTAAAAACGGATTTCATAAGGATTCTCTTAGTGGGAAGAGGTAGAGGGATGAATACCCACTAG
-TTTACTGCTGATAAAGAGAAGGTTCAGGTACGTAATCTTTTCTTTTTATTACAATTTTTTGATGAATGCC
-TTGGCTGCGATTCATTCTTTATCTGAATAAAATTGCTGTCAATTTTACGTCTTGTCCTGCCATATCGCGA
-AATTTCTGCGCAAAAGCACAAAAAATTTTTGCATCTCCCCCTTGATGACGTGGGTTACGACCCCATTTAG
-TAGTCAACCGCAGTGAGTGAGTCTGCAAAAAAATGAAATTGGGCAGTTGAAACCAGACGTTTCGCCCCTA
-TTACAGACTCACAACCACATGATGACCGAATATATAGTGGAGACGTTTAGATGGGTAAAATAATTGGTAT
-CGACCTGGGTACTACCAACTCTTGTGTAGCGATTATGGATGGCACCACTCCTCGTGTGCTGGAGAACGCC
-GAAGGCGATCGCACCACGCCTTCTATCATTGCCTATACCCAGGATGGTGAAACTCTGGTTGGTCAGCCGG
-CTAAACGTCAGGCAGTGACGAACCCGCAAAACACCCTGTTTGCGATTAAACGCCTGATTGGCCGCCGCTT
-CCAGGACGAAGAAGTACAGCGTGATGTTTCCATCATGCCGTTCAAAATTATTGCTGCTGATAACGGCGAC
-GCATGGGTCGAAGTTAAAGGCCAGAAAATGGCACCGCCGCAGATCTCTGCTGAAGTGCTGAAAAAAATGA
-AGAAAACCGCTGAAGATTACCTGGGTGAACCGGTAACTGAAGCTGTTATCACCGTACCGGCATACTTTAA
-CGATGCTCAGCGTCAGGCAACCAAAGACGCAGGCCGTATCGCTGGTCTGGAAGTAAAACGTATCATCAAC
-GAACCGACCGCAGCTGCGCTGGCTTACGGTCTGGACAAAGGTACTGGCAACCGTACTATCGCGGTTTATG
-ACCTGGGTGGTGGTACTTTCGATATTTCTATTATCGAAATCGACGAAGTTGACGGCGAAAAAACCTTCGA
-AGTTCTGGCAACCAACGGTGATACCCACCTGGGTGGTGAAGACTTCGACAGCCGTCTGATCAACTACCTG
-GTTGAAGAATTCAAGAAAGATCAGGGCATTGACCTGCGCAACGATCCGCTGGCAATGCAGCGCCTGAAAG
-AAGCGGCAGAAAAAGCGAAAATCGAACTGTCTTCCGCTCAGCAGACCGACGTTAACCTGCCGTACATCAC
-TGCAGATGCGACCGGTCCGAAACACATGAACATCAAAGTGACTCGTGCGAAACTGGAAAGCCTGGTTGAA
-GATCTGGTAAACCGTTCCATTGAGCCGCTGAAAGTTGCACTGCAGGACGCTGGCCTGTCCGTATCTGATA
-TCGACGACGTTATCCTCGTTGGTGGTCAGACTCGTATGCCAATGGTTCAGAAGAAAGTTGCTGAGTTCTT
-TGGTAAAGAGCCGCGTAAAGACGTTAACCCGGACGAAGCTGTAGCAATCGGTGCTGCTGTTCAGGGTGGT
-GTTCTGACTGGTGACGTGAAAGACGTACTGCTGCTGGACGTTACCCCGCTGTCTCTGGGTATCGAAACCA
-TGGGCGGTGTGATGACGACGCTGATCGCGAAAAACACCACTATCCCGACCAAGCACAGCCAGGTGTTCTC
-TACCGCTGAAGACAACCAGTCTGCGGTAACCATCCATGTGCTGCAGGGTGAACGTAAACGTGCGGCTGAT
-AACAAATCTCTGGGTCAGTTCAACCTGGATGGTATCAACCCGGCACCGCGCGGCATGCCGCAGATCGAAG
-TTACCTTCGATATCGATGCTGACGGTATCCTGCACGTTTCCGCGAAAGATAAAAACAGCGGTAAAGAGCA
-GAAGATCACCATCAAGGCTTCTTCTGGTCTGAACGAAGATGAAATCCAGAAAATGGTACGCGACGCAGAA
-GCTAACGCCGAAGCTGACCGTAAGTTTGAAGAGCTGGTACAGACTCGCAACCAGGGCGACCATCTGCTGC
-ACAGCACCCGTAAGCAGGTTGAAGAAGCAGGCGACAAACTGCCGGCTGACGACAAAACTGCTATCGAGTC
-TGCACTGACTGCACTGGAAACTGCTCTGAAAGGTGAAGACAAAGCCGCTATCGAAGCGAAAATGCAGGAG
-CTGGCACAGGTTTCCCAGAAACTGATGGAAATCGCCCAGCAGCAACATGCCCAGCAGCAGACTGCCGGTG
-CTGATGCTTCTGCAAACAACGCGAAAGATGACGATGTTGTCGACGCTGAATTTGAAGAAGTCAAAGACAA
-AAAATAATCGCCCTATAAACGGGTAATTATACTGACACGGGCGAAGGGGAATTTCCTCTCCGCCCGTGCA
-TTCATCTAGGGGCAATTTAAAAAAGATGGCTAAGCAAGATTATTACGAGATTTTAGGCGTTTCCAAAACA
-GCGGAAGAGCATGAAATCAAAAAGGCCTACAAACGCCTGGCCATGAAATACCACCCGGACCGTAACCAGG
-GTGACAAAGAGGCCGAGGCGAAATTTAAAGAGATCAAGGAAGCTTATGAAGTTCTGACCGACTCGCAAAA
-ACGTGCGGCATACGATCAGTATGGTCATGCTGCGTTTGAGCAAGGTGGTATGGGCGGCGGCGGTTTTGGC
-GGCGGCGCAGACTTCAGCGATATTTTTGGTGACGTTTTCGGCGATATTTTTGGCGGCGGACGTGGTCGTC
-AACGTGCGGCGCGCGGTGCTGATTTACGCTATAACATGGAGCTCACCCTCGAAGAAGCTGTACGTGGCGT
-GACCAAAGAGATCCGCATTCCGACTCTGGAAGAGTGTGACGTTTGCCACGGTAGCGGTGCAAAACCAGGT
-ACACAGCCGCAGACCTGTCCGACCTGTCATGGTTCTGGTCAGGTGCAGATGCGTCAGGGATTCTTTGCCG
-TGCAGCAGACCTGTCCACACTGTCAGGGCCGCGGTACGCTGATCAAAGATCCGTGCAACAAATGTCATGG
-TCATGGTCGTGTTGAGCGCAGCAAAACGCTGTCCGTTAAAATCCCGGCAGGGGTGGACACTGGAGACCGC
-ATCCGTCTTGCGGGCGAAGGTGAAGCGGGCGAGCATGGCGCACCGGCAGGCGATCTGTACGTTCAGGTTC
-AGGTTAAACAGCACCCGATTTTCGAGCGTGAAGGCAACAACCTCTATTGCGAAGTCCCGATCAACTTCGC
-TATGGCGGCGCTGGGTGGCGAAATCGAAGTACCGACCCTTGATGGTCGCGTCAAACTGAAAGTGCCTGGC
-GAAACCCAGACCGGTAAGCTTTTCCGTATGCGCGGTAAAGGCGTCAAGTCTGTCCGCGGTGGCGCACAGG
-GTGATTTGCTGTGCCGCGTTGTCGTCGAAACACCGGTAGGCCTGAACGAGAAGCAGAAACAGCTGCTGCA
-AGAGCTGCAAGAAAGCTTCGGTGGCCCAACCGGTGAGCACAACAGCCCGCGCTCAAAGAGCTTCTTTGAT
-GGTGTGAAGAAGTTTTTTGACGACCTGACCCGCTAACCTCCCCAAAAGCCTGCCCGTGGGCAGGCTTGGG
-TAAAATTAGGGTGCGTTGAAGATATGCGAGCACCTGAAAAGTGGCGGGGATCACTCCCATAAGCGCTAAC
-TTAAGGGTTGTGGTATTACGCCTGATATGATTTAACGTGCCGATGAATTACTCTCACGATAACTGGTCAG
-CAATTCTGGCCCATATTGGTAAGCCCGAAGAACTGGATACTTCGGCACGTAATGCCGGGGCTCTAACCCG
-CCGCCGCGAAATTCGTGATGCTGCAACTCTGCTACGTCTGGGGCTGGCTTACGGCCCCGGGGGGATGTCA
-TTACGTGAAGTCACTGCATGGGCTCAGCTCCATGACGTTGCAACATTATCTGACGTGGCTCTCCTGAAGC
-GGCTGCGGAATGCCGCCGACTGGTTTGGCATACTTGCCGCACAAACACTTGCTGTACGCGCCGCAGTTAC
-GGGTTGTACAAGCGGAAAGAGATTGCGTCTTGTCGATGGAACAGCAATCAGTGCGCCCGGGGGCGGCAGC
-GCTGAATGGCGACTACATATGGGATATGATCCTCATACCTGTCAGTTCACTGATTTTGAGCTAACCGACA
-GCAGAGACGCTGAACGGCTGGACCGATTTGCGCAAACGGCAGACGAGATACGCATTGCTGACCGGGGATT
-CGGTTCGCGTCCCGAATGTATCCGCTCACTTGCTTTTGGAGAAGCTGATTATATCGTCCGGGTTCACTGG
-CGAGGATTGCGCTGGTTAACTGCAGAAGGAATGCGCTTTGACATGATGGGTTTTCTGCGCGGGCTGGATT
-GCGGTAAGAACGGTGAAACCACTGTAATGATAGGCAATTCAGGTAATAAAAAAGCCGGAGCTCCCTTTCC
-GGCACGTCTCATTGCCGTATCACTTCCTCCCGAAAAAGCATTAATCAGTAAAACCCGACTGCTCAGCGAG
-AATCGTCGAAAAGGACGAGTAGTTCAGGCGGAAACGCTGGAAGCAGCGGGCCATGTGCTATTGCTAACAT
-CATTACCGGAAGATGAATATTCAGCAGAGCAAGTGGCTGATTGTTACCGTCTGCGATGGCAAATTGAACT
-GGCTTTTAAGCGGCTCAAAAGTTTGCTGCACCTGGATGCTTTGCGTGCAAAGGAACCTGAACTCGCGAAA
-GCGTGGATATTTGCTAATCTACTCGCCGCATTTTTAATTGACGACATAATCCAGCCATCGCTGGATTTCC
-CCCCCAGAAGTGCCGGATCCGAAAAGAAGAACTAACTCGTTGTGGAGAATAACAAAAATGGTCATCTGGA
-GCTTACAGGTGGCCATTCGTGGGACAGTATCCCTGACAGCCTACAAAACGCAATTGAAGAACGCGAGGCA
-TCGTCTTAACGAGGCACCGAGGCGTCGCATTCTTCAGATGGTTCAACCCTTAAGTTAGCGCTTATGGGAT
-CACTCCCCGCCGTTGCACTTACTCGGATTCGTAAGCCGTGAAAACAGCAACCTCCGTCTGGCCAGTTCGG
-ATGTGAACCTCACAGAGGTCTTTTCTCGTTACCAGCGCCGCCACTACGGCGGTGATACAGATGACGATCA
-GGGCGACAATCATCGCCTTATGCTGCTTCATTGCTCTCTTCTCCTTGACCTTACGGTCAGTAAGAGGCAC
-TCTACATGTGTTCAGCATATAGGGGGCCTCGGGTTGATAGTAAAATATCACTCGGGGCTTTTCTCTATCT
-GCCGTTCAGCTAATGCCTGAGACAGATAGCCTCAAGCACCCGCCGCTATTATATCGCTCTCTTTAACCCA
-TTCTGTTTTATCGATTCTAATCCTGAAGACGCCTCGCATTTTTGTGGCGTAATTTTTTAATGATTTAATT
-ATTTAACTTTAATTTATCTCTTTATCGCAATTATTGACGACAAGCTGGATTATTTTTGAAATATTGTCCT
-AACAAATAACGCCGACTGACAAGAAATTAATTATTACTTTTCCTAATTAATCCCTCAGAAATCCTCACCT
-TAAGCTATGATTATCTGGGCTTAGGGTCACTCGTGAGCGCTTACAGCCGTCAAAAAACTCATCTCACCGC
-TGATGGCGCAAATTCTTCAATGGATCGTAAAAAACGAGTTATTCCTACACTATAATCTGATTTTAACGAT
-GATTTGTGCGGGGTAAAATAGTAAAAACGATCTATTCACCTGAAAGAGAAATAAAAAGTGAAACATCTGC
-ATCGATTCTTTAGCAGTGATGCCTCGGGAGGCATTATTCTTATCATTGCCGCTATCCTGGCGATGATTAT
-GGCCAATAGCGGCGCAACCAGTGGATGGTATCACGACTTTCTGGAGACGCCGGTTCAGCTCCGGGTTGGT
-TCACTCGAAATCAACAAAAACATGCTGTTATGGATAAATGACGCGCTGATGGCGGTATTTTTCCTGTTAG
-TCGGTCTGGAAGTTAAACGTGAACTGATGCAAGGATCGCTAGCCAGCTTACGCCAGGCCGCATTTCCAGT
-TATCGCCGCTATTGGTGGGATGATTGTTCCGGCATTACTCTATCTGGCCTTTAACTATGCCGATCCGATT
-ACCCGCGAAGGGTGGGCGATCCCGGCGGCTACTGACATTGCCTTTGCACTTGGTGTGCTGGCGCTGTTGG
-GAAGTCGTGTTCCGTTAGCGCTGAAGATCTTTTTGATGGCTCTGGCTATTATCGACGATCTTGGGGCCAT
-CATTATCATCGCATTGTTCTACACTAATGACTTATCGATGGCCTCTCTTGGCGTCGCGGCTGTAGCAATT
-GCGGTACTCGCGGTATTGAATCTGTGTGGTGTACGCCGCACGGGCGTCTATATTCTGGTTGGCGTAGTGT
-TGTGGACTGCGGTGTTGAAATCGGGGGTTCACGCAACCCTGGCGGGGGTAATTGTCGGCTTCTTTATTCC
-TTTGAAAGAGAAGCATGGGCGTTCTCCAGCGAAGCGACTGGAGCATGTGTTACACCCGTGGGTGGCGTAT
-CTGATTTTGCCGCTGTTTGCATTTGCTAATGCTGGCGTTTCACTGCAAGGTGTCACGCTGGATGGCTTGA
-CCTCCATTCTGCCATTGGGGATCATCGCTGGCTTGCTGATTGGCAAACCGCTGGGGATTAGTCTGTTCTG
-CTGGTTGGCGCTGCGTTTGAAACTGGCGCATCTGCCTGAGGGAACGACTTATCAGCAAATTATGGCGGTG
-GGGATCCTGTGCGGTATCGGTTTTACTATGTCTATCTTTATTGCCAGCCTGGCCTTTGGTAGCGTAGATC
-CAGAACTGATTAACTGGGCGAAACTCGGTATCCTGGTCGGTTCTATCTCTTCGGCGGTAATTGGATACAG
-CTGGTTACGCGTTCGTTTGCGTCCATCAGTTTGACAGGACGGTTTACCGGGGAGCCATAAACGGCTCCCT
-TTTCATTGTTATCAGGGAGAGAAATGAGCATGTCTCATATCAATTACAACCACTTGTATTACTTCTGGCA
-TGTCTATAAAGAAGGTTCCGTGGTTGGCGCAGCGGAGGCGCTTTATTTAACTCCACAAACCATTACCGGA
-CAGATTCGAGCGCTGGAAGAGCGCCTGCAAGGCAAATTATTTAAACGCAAGGGACGTGGTCTCGAACCCA
-GCGAGCTGGGAGAACTGGTCTATCGCTATGCCGATAAAATGTTCACCTTAAGCCAGGAAATGCTGGATAT
-TGTGAACTATCGCAAAGAATCCAATTTATTGTTTGACGTTGGTGTGGCTGATGCACTTTCCAAACGCCTG
-GTCAGTAGCGTACTTAACGCCGCAGTGGTAGAAGGCGAGCCCATTCATCTTCGCTGCTTCGAATCCACCC
-ACGAAATGCTGCTGGAGCAATTAAGTCAGCATAAACTGGATATGATCATTTCTGACTGTCCGATAGACTC
-TACGCAGCAGGAAGGCCTGTTCTCCGTGAGAATTGGCGAATGTGGCGTGAGTTTCTGGTGTACAAATCCA
-CCACCAGAAAAACCGTTCCCGGCTTGTCTGGAAGAACGGCGACTTTTGATTCCTGGGCGACGTTCAATGT
-TAGGGCGCAAATTGCTTAACTGGTTTAACTCCCAGGGATTAAACGTAGAAATCCTCGGCGAGTTTGATGA
-TGCCGCGTTGATGAAAGCTTTTGGTGCGATGCACAATGCAATCTTCGTTGCCCCAACGCTTTATGCATAT
-GACTTTTATGCCGATAAAACTGTCGTAGAAATTGGTCGCGTCGAGAATGTGATGGAAGAGTACCATGCTA
-TTTTTGCTGAGCGGATGATTCAGCACCCGGCGGTACAGCGAATCTGCAATACGGATTATTCTGCGCTTTT
-TAGTCCAGCGGCGCGTTAATCGGCACCTCCCCCCAAAGTTAAGGTGGGGGAGATAGATTAGTTGTACATA
-ACCACGATTTTGACTCGGCTCATTATTTGCCCGCTTGAGACATTATTTCCATATGTACGCGGGCGAATAA
-ATAGAGGAATCTGATTACTTCCTTCATGGGGATGCTGAAAAGAGTAGTAATTGCTTTTACCATACTGGAT
-TTCATTCGTACCATCATTGGAGAGTTGAAAGCCTACTTGACCCGCACCGTCCTCACTGTTTTCTAACTCA
-TTTTTTAATATGCTGGTTCCTGACTCCTGTATCGTCACTGGTTCAAAGTAATATTCAACATCACTGGGTT
-CAAAAACTAATTCACCTTGCTCGCCCTGGATGCAGTCAAATCTTATATGATGAAACTGATAATTTTCATT
-ATTGATACGAGACAGTACAAATCGTCCAGTGTCGATGGATTGATCTTCAAAACCACAGGTCATTAAATTT
-ACCTGTAAAATAGTATTTAAATTATAATTAAAGCGGACGCTATTACAATTAGTATTATTCCCTGTACATG
-AACTCACTTCAATTTCGAACAACAAAGGAAAAGGAGTTCCTGGAAAAATGTCTGCGGTGTTAGAACTATC
-TGATACAGATGCGATAGAATATGGAATGGTGAAATTTATCGCAGATAGCATTTCTTCTAAATTATAAGAT
-GACTTCCCTGGAAGCTCTATTTTTTTACCGTCATATTCAAAGGGGAAATTAATAATATAATGACGACTTC
-CGACTTTAAACTTTAAAGCGTTCTGTGTTAAAAAATGAACTTTAATGGCGTTGGTTGTCTCTTGCAAGTC
-TGTACACTCAATGATATTTCCGGTGTTTTCAATTTTTTCGGCGGTGAGATTACCTTTCATACTCAGTGGC
-TTGAGTATATATGTTCCACGTTGTTCACCGACATTGGTCAATGCACAGGGAGCACTTTGCACAATAAAAG
-AATATAGACTCAAGGTGATTAATAAAAGCCACTTCATAGTAAACTCCTTTTACTGGCATATATATGTTTT
-GTTTTCATCGATAACGTGTTGAAAAGTAATAGTACAGAATAAATTCTGTTCATCATTGAGAGCAACTTTT
-ATGCCAGTTGGAATTTCATCTACGCGAATAAAAAGGCGACTACCCTGGCCAACGACTCCAATATTGTTTT
-CCTGGAGATCCAGTACGTCATAGCCAAAGGTTAATGGCGAACCATCGGGACGCAGTGCCTGTATATACCA
-AGGCTTACGTTGGTCAGTTGTAAACTGCACATAAGAAACTGCTCCACGGTAAGGCGCAATAATTTGACGA
-TTGCCCTGCAATTCTGTTTCACTTTCACTGTTTGCTATATCAAGTACCAGATGGTTTTCACGATGAGGTA
-TAATCGGGTCGTAAACAACCTGGCCTTTGCTGTTTGTTCGGTTGTATTTTTGTCCATTAATATGCGCGCC
-TTCTAATCCAGGCGCATCCAGAATTGCAAATGTATCGGATAACTGGTTAGTGATATTAATACCACCGGAC
-CAGACAACTAATCCACTACTAATACTTCCACCACTTTGCCAGGCGTTTTTAGAATGACTATAGCTGCCAT
-CTATTATGGCGATGGGAGTTCTCCAGCTTAAATTCGTACCAAGCGAGGTATCATTATTTTGTTGTTGCTG
-ATTAACATATATACCATAATTTAACTGATCATGTTCACCGGCTATGCCAGTAATTCCAGTATTGTTGGAG
-GAATAGCCATCTTTGGAAAATGAGGTCGAATTCGATAAGTTAATTTGGTGACGTGTTTTGGCAATATCAT
-CCCCCCAGTAGAAAGGAATGGAGATAAACAGATTAAAACGCTCCTCTTCTTTATTATTTTCATCATAAGA
-TTGGCTGGCAGAGAAAGTATAACTAATGTGTTGCCAGTTATTGGAGTAACTGAATTGGTAATCTTTAGCA
-TTTCCACTTCGCCCCCAGTAATTCCGCCAAAGCGCACTTAATGATACATTTCCCAGATTATTGGATAAAG
-GTTGCATAATATTGGCAGAAAGGCTATTTTTTCTGCCAATATCATAAAAATCATTATAATCACTCTGATG
-ATAGTGTTTATCATTTTCGTAAAGATGGTCGCTGAATGTCCTGTAATCCTGCGAAGCATAACGCCAGGCG
-GCCACGCTAAATCGAGTGGCTGTTTGTACTAGATATTTATTATAGGCGACCTGATAGCTCGTACCTTCGT
-GTCTGGTATCATTATTTAACTTACTACTCGATCGGGCAGCGTAAAAAGAGATGGCACCCAGCGGTGTATT
-CCAACCATTTCCCAGAGTTATAGCATTATAGTTATCGGATAAAATCGTACCCGATTATGTGATCAGGTTG
-TTATTATTTAGATTAATGTTTAAATTTTTTAATTTCTTGATGTGAAGTTGATGAAAGTTTAATATTCTTA
-ATTATTCCCTTCTTTATAAGAAGAGCAAGGTGCCATTATTAGAGTGAGAGAGTAGGATGTTTCAGAGTAT
-GCTTCAGATTATTTTTTATTCCTCTGTAGTGAATTAATAATCATCACAGTTAATTTCATTCTGAAATTAC
-TTCTTTTTTGAGATTTTTTAATTTTGATGAGCTATGTTTTTCATAAGGAACATAGACTCGTTGATGCTCT
-GAAGGTATTTTCTCATTTCCGGGGATGTTTTGTCGTAATCGTGCATAAACTTTTTCAGTTCTTTATACAC
-ATCATTATTTAGCTTTACATTGTCGCGAACTAAAGTTTGTACCAATGGTATCAAAATTTCGAAACGGGAC
-GGTTTGTCATCAATACTTGCCAGGGTTTTGAATACTCCTGTGTATCTGTAACCTAAGTGCTTATTGACAA
-GTTGAGTGGTCCATCGACCAGGCATAATATCTTCACAGAGCAAATTTTTTATTCTGGTATTAGTGAATGA
-TGCTCCAAATATGTTGCTTTTTTTAATGAAGAGATTATTAATTTCTCCATTTGAAAAGATGGTGTTTGAT
-AAGTCGCTTTCAAAACATGATATATTGGATAATACACAACTAAAATAATACCCATATGAAAGGTTGCTCT
-TTTCTATTGTTATATTTGATAGCGACATTTTATGTATATTGATATTAGGGGCAGTCAAATACTGGATCTT
-TTGATCGTTAAGTTCATACATCTCCAGTGATTTATTATAGGGTAATAAAAGTATAAATTCCTTTATATTA
-TCTCCGCAGTAAGAAAAGACGACATCAAATTTATTAGTGGCCATATTTTCAGTTGAGCAGTAAGCTGATT
-TTTCTATTAACCGACTGGGCACGCTTTTAAATAAAGATAATTTTCCACATAGTTTTGAATATGCCGAATT
-GCTAGTTTTAAAATTCTGCCATGTTATTTTCTGGTTATCATCTTTCGATGAGGAGGGGATTTTATTGCAT
-TGTTCATTATATAGCTCAGGGAAAATATTTTTTTTAATTAGCTTTTTGATTTCCTGGTTAAGATGACTTT
-TTTTCTTGTCTATTGCACTATATTTAGCGTTTTGTGACGTCTCCTGATGAGCATAAAATGACTGGAGATT
-TCTGCAGGCCTCATAAAATATTTCAGGAGTATATAGCTGTGGGTATATTTCCGGGTTGAAGTTTGCCTTT
-AAGAACTTAACGAATTTTTCATAGCATTCTTGATATATCTTAATCTCTTCGGTGATGCTGCCAACTTACT
-GATTTAGTGTATGATGGTGTTTTTGAGGTGCTCCAGTGGCTTCTGTTTCTATCAGCTGTCCCTCCTGTTC
-AGCTACTGACGGGGTGGTGCGTAACGGCAAAAGCACCGCCGGACATCAGCGCTATCTCTGCTCTCACTGC
-CGTAAAACATGGCAACTGCAGTTCACTTACACCGCTTCTCAACCCGGTACGCACCAGAAAATCATTGATA
-TGGCCATGAATGGCGTTGGATGCCGGGCAACTGCCCGCATTATGGGCGTTGGCCTCAACACGATTTTACG
-TCACTTAAAAAACTCAGGCCGCAGTCGGTAACCTCGCGCATACAGCCGGGCAGTGACGTCATCGTCTGCG
-CGGAAATGGACGAACAGTGGGGCTATGTCGGGGCTAAATCGCGCCAGCGCTGGCTGTTTTACGCGTATGA
-CAGGCTCCGGAAGACGGTTGTTGCGCACGTATTCGGTGAACGCACTATGGCGACGCTGGGGCGTCTTATG
-AGCCTGCTGTCACCCTTTGACGTGGTGATATGGATGACGGATGGCTGGCCGCTGTATGAATCCCGCCTGA
-AGGGAAAGCTGCACGTAATCAGCAAGCGATATACGCAGCGAATTGAGCGGCATAACCTGAATCTGAGGCA
-GCACCTGGCACGGCTGGGACGGAAGTCGCTGTCGTTCTCAAAATCGGTGGAGCTGCATGACAAAGTCATC
-GGGCATTATCTGAACATAAAACACTATCAATAAGTTGGAGTCATTACCATCTCTTCAGAAAGACATTCGC
-TTGTTCTGTCATCAAAAACATCCAATCTAAGTAATGTGATGCCTTTGTGTTTAAAAAATAAAATTGAACT
-GTATGTTCTATGAGTTTACATCTATAAAAATGTGCATCTCTCAGATGAGTATATTGAAAAAAATGATGGA
-GGACTGGAGATGGTTTAGGAAAATCCTGGCTTCTGAAAAAGTCATCAAACAAAATTAAGAACTCTGTTTT
-ATACTCGCAAAACACTTTTACTAACTCATTTTGTCTTGTTTTATTTATTATTACATCATCTACTATATTT
-GATTTATAAAGACAATGTGGCGAAGTTGAGATACCATCTGTCATTATCAGTCCTTGAAGTTGATGAATTT
-TTATTAATTTAATTTATGAGTGAATGTGACTACTATCAAAAATCGCTCATTAATTTTAAGAAGTACAATA
-TAAATAGGTATTTAACCTGTGTTGATTGCTGTTAATAATTTACAAGGTCTAATGAGGAGATATTTATGAA
-TGGTTAAAGTATATAGGAATTTAATTCAAAAATAGAGTGGTCTTAAGTTTAATACCTCAATGTGTATCAC
-AATATCCACATTCTTTGTAGGGGGTCTGGAGATTGAGTAGATATTCTTGTTCAGAATGTATCAGCCGATG
-GTTCTACGATTCTTAAGCCACGAAGAGTTCAGATAGTACAACGGCATGTCTGCAAGAACCTGCAACTTTT
-GACTATCTGGCAACCGGCAGTGTGTTCTCTCACGCATCACAAAAGCAGCAGGCATAAAAAAACCCGCTTG
-CGCGGGCTTTTTCACAAAGCTTCAGCAAATTGGCGATTAAGCCAGTTTGTTGATCTGTGCAGTCAGGTTA
-GCCTTATGACGTGCAGCTTTGTTTTTGTGGATCAGACCTTTAGCAGCCTGACGGTCCACGATCGGTTGCA
-TTTCGTTAAATGCTTTCTGTGCAGCAGCTTTGTCGCCAGCTTCGATAGCTGCGTATACTTTCTTGATGAA
-AGTACGCATCATAGAGCGACGGCTTGCGTTGTGCTTACGAGCCTTTTCAGACTGAATGGCGCGCTTCTTA
-GCTGATTTGATATTAGCCAAGGTCCAACTCCCAAATGTGTTCTATATGGACAATTCAAAGGCCGAGGAAT
-ATGCCCTTTTAGCCTTCTTTTGTCAATGGATTTGTGCAAATAAGCGCCGTTAATGTGCCGGCACTCGTTA
-CGTAGTGATGGCGCAGGATTCTACCAGCTTGCGGGGTGTGAATACAGCTTTTCCGCGATAAAAATTGCAG
-CAGGCGGTCAGTTTCTTCCCGTGATTTGCGCCATGGCAATGAAAAGCCACTTCTTTCTGATTTCGGTACT
-CAATCGCCGGTTAACCTTGACCGCTGTACAAGGTATACTCGGACGATTTTCACTGTTTTGAGCCAGACAT
-GAAGCTGATACGCGGCATACATAATCTCAGCCAGGCCCCGCAAGAAGGGTGTGTGCTGACTATTGGTAAT
-TTCGACGGCGTGCATCGCGGTCATCGCGCGCTGTTACAGGGCTTGCAGGAAGAAGGGCGCAAGCGCAACT
-TACCGGTGATGGTGATGCTTTTTGAACCTCAACCACTGGAACTGTTTGCTACCGATAAAGCCCCGGCACG
-GCTGACCCGGCTGCGGGAAAAACTGCGTTACCTTGCAGAGTGTGGCGTTGATTACGTGCTGTGCGTGCGT
-TTCGACAGGCGTTTCGCGGCGTTAACCGCGCAAAATTTCATCAGCGATCTTCTGGTGAAGCTTTTGCGCG
-TAAAATTTCTTGCCGTAGGTGATGATTTCCGCTTTGGCGCTGGTCGTGAAGGCGATTTCTTGTTATTACA
-GAAAGCTGGCATGGAATACGGCTTCGATATCACCAGTACGCAAACTTTTTGCGAAGGTGGCGTGCGTATC
-AGCAGCACCGCTGTGCGTCAGGCGCTGGCGGATGACAATCTGGCTCTGGCAGAAAGTTTACTGGGGCACC
-CGTTTGCCATCTCCGGGCGTGTAGTCCACGGTGATGAATTAGGGCGCACTATAGGTTTCCCGACGGCGAA
-TGTACCGCTACGCCGTCAGGTTTCCCCGGTGAAAGGGGTTTATGCGGTAGAAGTGCTGGGCCTCGGTGAA
-AAGCCGTTACCCGGCGTGGCAAACATCGGAACACGCCCAACGGTTGCCGGTATTCGCCAGCAGCTGGAAG
-TGCATTTGTTAGATGTTGCAATGGACCTTTACGGTCGCCATATACAAGTAGTGCTGCGTAAAAAAATACG
-CAATGAGCAGCGATTTGCGTCGCTGGACGAACTGAAAGCGCAGATTGCGCGTGATGAATTAACCGCCCGC
-GAATTTTTTGGGCTAACAAAACCGGCTTAAGCCTGTTATGTAATCAAACCGAAACACGGAACCGAGAATC
-TGATGAGTGACTATAAATCAACCCTGAATTTGCCGGAAACAGGGTTCCCGATGCGTGGCGATCTCGCCAA
-GCGCGAACCGGGAATGCTGGCGCGTTGGACTGATGATGATCTGTACGGCATCATCCGTGCGGCTAAAAAA
-GGCAAAAAAACCTTCATTCTGCATGATGGCCCTCCTTATGCGAATGGCAGCATTCATATTGGTCACTCGG
-TTAACAAGATTCTGAAAGACATTATCGTGAAGTCCAAAGGGCTTTCCGGTTATGACTCGCCGTATGTGCC
-TGGCTGGGACTGCCACGGTCTGCCGATCGAGCTGAAAGTCGAGCAAGAATACGGTAAGCCGGGTGAGAAA
-TTCACCGCCGCCGAGTTCCGCGCCAAGTGCCGCGAATACGCGGCGACCCAGGTTGACGGTCAACGCAAAG
-ACTTTATCCGTCTGGGCGTGCTGGGCGACTGGTCGCACCCGTACCTGACCATGGACTTCAAAACTGAAGC
-CAACATCATCCGCGCGCTGGGCAAAATCATCGGCAACGGTCACCTGCACAAAGGCGCGAAGCCGGTACAC
-TGGTGCGTTGACTGCCGTTCTGCGCTGGCGGAAGCGGAAGTTGAGTATTACGACAAAACTTCTCCGTCCA
-TCGACGTTGCTTTTCAGGCGGTCGATCAGGATGCACTGAAAGCAAAATTTGCCGTAAGCAACGTTAACGG
-CCCAATCTCGCTGGTGATCTGGACCACTACGCCGTGGACTCTGCCTGCGAACCGCGCAATCTCTATTGCA
-CCTGATTTCGACTATGCGCTGGTGCAGATCGACGGTCAGGCCGTGATTCTGGCGAAAGATCTGGTTGAAA
-GCGTAATGCAGCGTATCGGCGTGACCGATTACACCATTCTCAGCACGGTAAAAGGTGCGGAGCTTGAGTT
-GCTGCGCTTTACCCATCCGTTTATGGGCTTCGACGTTCCGGCAATCCTCGGCGATCACGTTACCCTGGAT
-GCCGGTACCGGTGCCGTTCACACCGCGCCTGGCCACGGCCCGGACGACTATGTGATCGGTCAGAAATACG
-GCCTGGAAACCGCTAACCCGGTTGGCCCGGACGGCACTTATCTGCCGGGCACTTATCCGACGCTGGATGG
-CGTGAACGTCTTCAAAGCGAACGACATCGTCGTTGCGCTGCTGCAGGAAAAAGGCGCGCTGCTGCACGTT
-GAGAAAATGCAGCACAGCTATCCGTGCTGCTGGCGTCACAAAACGCCGATCATCTTCCGCGCGACGCCGC
-AGTGGTTCGTCAGCATGGATCAGAAAGGTCTGCGTGCGCAGTCACTGAAAGAGATCAAAGGCGTGCAGTG
-GATCCCGGACTGGGGCCAGGCGCGTATCGAGTCGATGGTTGCTAACCGTCCTGACTGGTGTATCTCCCGT
-CAGCGCACCTGGGGCGTACCGATGTCACTGTTCGTGCACAAAGACACGGAAGAGCTGCATCCGCGTACCC
-TCGAACTGATGGAAGAAGTGGCAAAACGCGTTGAAGTTAACGGCATCCAGGCGTGGTGGGATCTCGATGC
-GAAAGAGATCCTCGGCGACGAAGCTGACCAGTATGTGAAAGTGCCGGATACTCTCGACGTATGGTTTGAC
-TCCGGATCTACCCACTCTTCTGTTGTTGACGTGCGTCCGGAATTTGCCGGTCACGCAGCGGACATGTATC
-TGGAAGGTTCTGACCAGCACCGTGGTTGGTTCATGTCTTCCCTAATGATCTCCACCGCGATGAAAGGCAA
-AGCGCCGTATCGTCAGGTACTGACCCACGGCTTTACCGTGGATGGTCAGGGCCGCAAGATGTCTAAATCC
-ATCGGCAACACCGTTTCGCCGCAGGATGTGATGAACAAACTGGGCGCGGATATTCTGCGTCTGTGGGTGG
-CATCAACCGACTACACCGGTGAAATGGCCGTTTCTGACGAGATCCTGAAACGTGCTGCCGACAGCTATCG
-TCGTATCCGTAACACCGCGCGCTTCCTGCTGGCAAACCTGAACGGTTTTGATCCAGCAAAAGATATGGTG
-AAACCGGAAGAGATGGTGGTACTGGATCGCTGGGCCGTAGGTTGTGCGAAAGCGGCACAGGAAGACATCC
-TCAAGGCGTACGAAGCATACGATTTCCACGAAGTGGTACAGCGTCTGATGCGCTTCTGCTCCGTTGAGAT
-GGGTTCCTTCTACCTCGACATCATCAAAGACCGTCAGTACACCGCCAAAGCGGACAGCGTGGCGCGTCGT
-AGCTGCCAGACTGCGCTGTATCACATCGCAGAAGCGCTGGTTCGCTGGATGGCACCAATCCTCTCCTTCA
-CCGCTGATGAAGTGTGGGGCTACCTGCCGGGCGAACGTGAAAAATACGTCTTCACCGGTGAGTGGTACGA
-AGGCCTGTTTGGTCTGGCAGACAGTGAAGCAATGAACGATGCGTTCTGGGACGAGCTGTTGAAAGTGCGT
-GGCGAAGTGAACAAAGTCATTGAGCAAGCGCGTGCCGACAAGAAAGTGGGTGGCTCGCTGGAAGCGGCAG
-TAACCTTGTATGCAGAACCGGAACTGGCGGCGAAACTGACCGCGCTGGGCGATGAATTACGATTTGTCTT
-GTTGACCTCCGGCGCTACCGTTGCAGACTATAACGACGCACCTGCTGATGCTCAGCAGAGCGAAGTACTC
-AAAGGGCTGAAAGTCGCGTTGAGTAAAGCCGAAGGTGAGAAGTGCCCACGCTGCTGGCACTACACCCAGG
-ATGTCGGCAAGGTGGCGGAACACGCAGAAATCTGCGGCCGCTGTGTCAGCAACGTCGCCGGTGACGGTGA
-AAAACGTAAGTTTGCCTGATGAGTCAATCGATCTGTTCAACAGGGCTACGCTGGCTGTGGCTGGTGGTAG
-TCGTGCTGATTATCGATCTGGGCAGCAAATACCTGATCCTCCAGAACTTTGCTCTGGGGGATACGGTCCC
-GCTGTTCCCGTCGCTTAATCTGCATTATGCGCGTAACTATGGCGCGGCGTTTAGTTTCCTTGCCGATAGC
-GGCGGCTGGCAGCGTTGGTTCTTTGCCGGTATTGCGATTGGTATTAGCGTGATCCTGGCAGTGATGATGT
-ATCGCTCGAAGGCCACGCAGAAGCTAAACAATATCGCTTACGCGCTGATTATTGGCGGCGCGCTGGGCAA
-CCTGTTCGACCGCCTGTGGCACGGCTTCGTTGTCGATATGATCGACTTCTACGTCGGCGGCTGGCACTTC
-GCCACCTTCAACCTTGCCGATACTGCCATCTGTGTCGGTGCGGCACTGATTGTGCTGGAAGGTTTTTTAC
-CTTCTAAAGCGAAAAAACAATAATAAACCCTGCCGGATGCGATGCTGACGCATCTTATCCGGCCTACAGA
-TTGCTGCGAAATCGTAGGCCGGATAAGGCGTTTACGCCGCATCCGGCAAAAATCCTTAAATATAAGAGCA
-AACCTGCATGTCTGAATCTGTACAGAGCAATAGCGCCGTCCTGGTGCACTTCACGCTAAAACTCGACGAT
-GGCACCACCGCCGAGTCTACCCGCAACAACGGTAAACCGGCGCTGTTCCGCCTGGGTGATGCTTCTCTTT
-CTGAAGGGCTGGAGCAACACCTGTTGGGGCTGAAAGTGGGCGATAAAACCACCTTCTCGTTGGAGCCAGA
-TGCGGCGTTTGGCGTGCCGTCACCGGACCTGATTCAGTACTTCTCCCGCCGTGAATTTATGGATGCAGGC
-GAGCCAGAAATTGGCGCAATCATGCTTTTTACCGCAATGGATGGCAGTGAGATGCCTGGCGTGATCCGCG
-AAATTAACGGCGACTCCATTACCGTTGATTTCAACCATCCGCTGGCCGGGCAGACCGTTCATTTTGATAT
-TGAAGTGCTGGAAATCGATCCGGCACTGGAGGCGTAACATGCAGATCCTGTTGGCCAACCCGCGTGGTTT
-TTGTGCCGGGGTAGACCGCGCTATCAGCATTGTTGAAAACGCGCTGGCCATTTACGGCGCACCGATATAT
-GTCCGTCACGAAGTGGTACATAACCGCTATGTGGTCGATAGCTTGCGTGAGCGTGGGGCTATCTTTATTG
-AGCAGATTAGCGAAGTACCGGACGGCGCGATCCTGATTTTCTCCGCACACGGTGTTTCTCAGGCGGTACG
-TAACGAAGCAAAAAGCCGCGATTTGACGGTGTTTGATGCCACCTGTCCGCTGGTGACCAAAGTGCATATG
-GAAGTCGCCCGCGCCAGCCGTCGTGGCGAAGAGTCGATTCTCATCGGCCACGCCGGGCATCCGGAAGTGG
-AAGGTACGATGGGCCAGTACAGTAACCCGGAAGGGGGAATGTATCTGGTCGAATCGCCGGACGATGTGTG
-GAAACTGACGGTCAAAAACGAAGAGAAGCTCTCCTTTATGACCCAGACCACGCTGTCGGTGGATGACACG
-TCTGATGTGATCGACGCGCTGCGTAAACGCTTCCCGAAAATTGTCGGTCCGCGCAAAGATGACATCTGCT
-ACGCCACGACTAACCGTCAGGAAGCGGTACGCGCCCTGGCAGAACAGGCGGAAGTTGTGTTGGTGGTCGG
-TTCGAAAAACTCCTCCAACTCCAACCGTCTGGCGGAGCTGGCCCAGCGTATGGGCAAACGCGCGTTTTTG
-ATTGACGATGCGAAAGATATCCAGGAAGAGTGGGTGAAAGAGGTTAAATGCGTCGGCGTGACTGCGGGCG
-CATCGGCTCCGGATATTCTGGTGCAAAATGTGGTGGCACGTTTGCAGCAGCTGGGCGGTGGTGAAGCCAT
-TCCGCTGGAAGGCCGTGAAGAAAACATTGTTTTCGAAGTGCCGAAAGAGCTGCGTGTCGATATTCGTGAA
-GTCGATTAAGTCATTAGCAGCCTAAGTTATGCGAAAATGCCGGTCTTGTTACCGGCATTTTTTATGGAGA
-AAACATGCGTTTACCTATCTTCCTCGATACTGACCCCGGCATTGACGATGCCGTCGCCATTGCCGCCGCG
-ATTTTTGCCCCCGAACTCGACCTGCAACTGATGACCACCGTCGCGGGTAATGTCTCGGTTGAGAAAACTA
-CCCGTAATGCCTTGCAACTGCTGCATTTCTGGAATGCGGAGATTCCGCTCGCCCAGGGAGCCGCTGTGCC
-GCTGGTACGCGCACCGCGTGATGCGGCATCTGTGCACGGCAAATCGGGAATGGCTGGCTACGACTTTGTT
-GAGCACAACCGAAAGCCGCTCGAGGTACCGGCGTTTCTGGCGATTCGGGATGCCCTGATGCGTGCACCAG
-AGCCTGTTACCCTGGTAGCCATCGGCCCGTTAACCAATATTGCGCTGTTACTTTCACAATGCCCGGAATG
-CAAACCGCATATTCGCCGTCTGGTGATCATGGGCGGTTCTGCTGGTCGCGGCAACTGTACACCAAATGCC
-GAGTTTAATATCGCTGCCGATCCAGAAGCGGCTGCCTGTGTCTTCCGTAGCGGCATCGAAATTGTCATGT
-GCGGTCTGGATGTCACCAATCAGGCAATATTAACCCCTGACTATCTCGCTACTTTACCGGAGTTGAATCG
-CACCGGAAAAATGCTCCACGCCCTGTTTAGCCACTACCGTAGCGGCAGTATGCAAAGCGGTCTGCGAATG
-CACGATCTCTGCGCCATCGCCTGGCTGGTGCGCCCGGACTTATTCACCCTCAAGCCGTGTTTTGTCGCGG
-TAGAAACTCAAGGCGAATTTACCTCAGGCACGACGGTGGTTGATATCGACGGTTGCCTGGGCAAACCAGC
-CAATGTACAGGTGGCATTGGATCTGAATGTAAAAGGCTTCCAACAGTGGGTGGCTGATTTGCTGGCTCTG
-GTGCCGTAACCTGTCACATGTTATCGGCATGCAGTCATTCATCGACTCATGCCTTTCACTGATATCCCTC
-CCTGTTTATCATTAATTTCTAATTATCAGCGTTTTTGGCTGGCGGCGTAGCGATGCGCTGGTTACTCTGA
-AAACGGTCTATGCAAATTAACAAAAGAGAATAGCTATGCATGATGCAAACATCCGCGTTGCCATCGCGGG
-AGCCGGGGGGCGTATGGGCCGCCAGTTGATTCAGGCGGCGCTGGCATTAGAAGGCGTGCAGCTGGGCGCG
-GCGCTGGAGCGCGAAGGATCTTCTTTACTGGGCAGCGACGCCGGTGAGCTGGCTGGTGCAGGGAAAACAG
-GCGTTACCGTGCAAAGCAGCCTTGATGCGATAAAAGATGATTTTGATGTGTTTATCGATTTTACCCGTCC
-GGAAGGTACGCTGAACCATCTCGCTTTTTGTCGCCAGCATGGCAAAGGGATGGTGATCGGCACTACGGGG
-TTTGACGAAGCCGGTAAACAGGCGATTCGTGACGCCGCCGCCGATATTGCGATTGTCTTTGCCGCCAATT
-TTAGCGTTGGCGTTAACGTCATGCTTAAGCTGCTGGAGAAAGCAGCCAAAGTGATGGGTGACTACACCGA
-TATCGAAATTATTGAAGCACATCATAGACATAAAGTTGATGCGCCGTCAGGCACCGCACTGGCAATGGGA
-GAGGCGATCGCCCACGCCCTTGATAAAGATCTGAAAGATTGCGCGGTCTACAGTCGTGAAGGCCACACCG
-GTGAACGTGTGCCTGGCACCATTGGTTTTGCCACCGTGCGTGCAGGTGACATCGTTGGCGAACATACCGC
-GATGTTTGCCGATATTGGCGAGCGTCTGGAGATCACCCATAAGGCGTCCAGCCGCATGACATTTGCTAAC
-GGCGCGGTAAGATCGGCTTTGTGGTTGAGTGGTAAGGAAAGTGGTCTTTTTGATATGCGAGATGTGCTTG
-ATCTCAATAGTTTGTAACCACAAGATATTTGTTATGGTGCAAAAATAACACATTTAATTTATTGATTGTA
-AAGGGCTTTAATTTTTGGCCCTTTTATTTTTAGTGTTATGTTTTTAAATTGTCTATAAGTGCCAAAAATT
-ACATGTTTTGTCTTTGGTTTTTGTTGTTTTAATGTAAATTTTGACCATTTGGTCCACTTTTCCCTACTCG
-CTTTTATTTCATGCAATCTTCTTGCTGCGCAAGCGTTTTCCAGAACAGGTTATATGATCTTTTTGCCGCT
-TAATGCCTGTAAAACATGCATGAGCCACAAAATAATATAAAAAATCCTGCCATTAAGTTGACTTTTAGCG
-CCCATATCTCCAGAATGCCGCCGTTTGCCAGAAATTCGTCGGTAAGCAGATTTGCATTGATTTACGTCAT
-CATTGTGAATTAATATGCAAATAAAGTGAGTGAATATTCTCTGGAGGGTGTTTTGATTAAGTCAGCGCTA
-TTGGTTCTGGAAGACGGAACCCAGTTTCACGGTCGGGCCATAGGGGCAACAGGTTCGGCGGTTGGGGAAG
-TCGTTTTCAATACTTCAATGACCGGTTATCAAGAAATCCTCACTGATCCTTCCTATTCTCGTCAAATCGT
-TACTCTTACTTATCCCCATATTGGCAATGTCGGCACTAATGACGCCGATGAAGAATCTTCTCAGGTACAT
-GCGCAAGGTCTGGTGATTCGCGATCTGCCGCTGATTGCCAGCAACTTCCGTAATACCGAAGACCTCTCTT
-CTTACCTGAAGCGCCATAACATCGTGGCGATTGCCGATATCGATACCCGTAAGCTGACGCGTTTACTGCG
-CGAGAAAGGCGCACAGAATGGCTGCATTATCGCAGGCGATAACCCGGATGCGGCGCTGGCGTTAGAAAAA
-GCTCGCGCGTTCCCAGGTCTGAATGGCATGGATCTGGCAAAAGAAGTGACCACCGCAGAAGCCTATAGCT
-GGACACAAGGGAGCTGGACGTTGACCGGCGGCCTGCCAGAAGCGAAGAAAGAAGACGAGCTGCCGTTCCA
-CGTCGTGGCTTATGATTTTGGTGCCAAGCGCAACATCCTGCGGATGCTGGTGGACAGAGGCTGTCGTCTG
-ACCATCGTTCCGGCGCAAACTTCTGCGGAAGATGTGCTGAAAATGAATCCAGACGGCATCTTCCTCTCCA
-ACGGTCCTGGCGACCCGGCCCCGTGCGATTACGCCATTACCGCCATCCAGAAATTTCTCGAAACCGATAT
-TCCGGTATTCGGCATCTGTCTCGGTCATCAGCTGCTGGCGCTGGCGAGCGGTGCGAAGACTGTCAAAATG
-AAATTTGGTCACCACGGCGGCAACCATCCGGTTAAAGATGTTGAGAAAAACGTGGTGATGATCACCGCCC
-AGAACCACGGTTTTGCGGTGGATGAAGCAACATTACCTGCAAACCTGCGTGTCACGCATAAATCCCTGTT
-CGACGGTACGTTACAGGGCATTCATCGCACCGATAAACCGGCGTTCAGCTTCCAGGGTCACCCGGAAGCC
-AGCCCTGGTCCGCACGACGCCGCGCCGTTGTTCGACCACTTTATCGAGTTAATTGAGCAGTACCGTAAAA
-CCGCTAAGTAATCAGGAGTAAAAGAGCCATGCCAAAACGTACAGATATAAAAAGTATCCTGATTCTGGGT
-GCGGGCCCGATTGTTATCGGTCAGGCGTGTGAGTTTGACTACTCTGGCGCGCAAGCATGTAAAGCCCTGC
-GCGAAGAGGGTTACCGCGTCATTCTGGTGAACTCCAACCCGGCGACCATCATGACCGACCCGGAAATGGC
-CGATGCGACCTACATCGAGCCGATTCACTGGGAAGTAGTACGCAAGATTATTGAAAAAGAGCGCCCGGAC
-GCGGTGCTGCCAACGATGGGCGGTCAGACGGCGCTGAACTGCGCGCTGGAGCTGGAGCGTCAGGGCGTGT
-TGGAAGAGTTCGGCGTGACTATGATTGGTGCGACCGCCGATGCGATTGATAAAGCAGAAGACCGCCGTCG
-TTTCGACGTAGCGATGAAGAAAATTGGTCTGGAAACCGCGCGTTCCGGTATCGCACACACGATGGAAGAA
-GCGCTGGCGGTTGCCGCTGACGTGGGCTTCCCGTGCATTATTCGCCCATCCTTTACCATGGGCGGTAGCG
-GCGGCGGTATCGCTTATAACCGCGAAGAGTTTGAAGAAATTTGCGCCCGCGGTCTGGATCTCTCCCCAAC
-CAAAGAGCTGCTGATTGATGAGTCGCTGATCGGCTGGAAAGAGTACGAGATGGAAGTGGTGCGTGATAAA
-AACGACAACTGCATCATCGTCTGCTCTATCGAAAACTTTGATGCGATGGGCATCCATACCGGTGACTCCA
-TCACTGTCGCGCCAGCCCAAACGCTGACCGACAAAGAATATCAAATCATGCGTAACGCCTCGATGGCGGT
-GCTGCGTGAAATCGGCGTTGAAACCGGTGGTTCCAATGTCCAGTTTGCGGTGAACCCGAAAAACGGTCGC
-CTGATTGTTATCGAAATGAACCCACGCGTGTCCCGTTCTTCGGCGCTGGCGTCGAAAGCGACCGGTTTCC
-CGATTGCTAAAGTGGCGGCGAAACTGGCGGTGGGTTACACCCTCGACGAACTGATGAACGACATCACTGG
-CGGACGTACTCCGGCCTCCTTCGAGCCGTCCATCGACTATGTGGTTACTAAAATTCCTCGCTTCAACTTC
-GAAAAATTCGCCGGTGCTAACGACCGTCTGACCACTCAGATGAAATCGGTTGGCGAAGTGATGGCGATTG
-GTCGCACGCAGCAGGAATCCCTGCAAAAAGCGCTGCGCGGCCTGGAAGTCGGTGCGACTGGATTCGACCC
-GAAAGTGAGCCTCGATGACCCGGAAGCGTTAACCAAAATCCGTCGCGAACTGAAAGATGCTGGCGCAGAG
-CGTATCTGGTACATCGCCGATGCCTTCCGTGCGGGCCTGTCTGTGGACGGCGTGTTCAACCTGACCAATA
-TTGACCGCTGGTTCCTGGTACAGATTGAAGAACTGGTGCGTCTGGAAGAGAAAGTAGCGGAAGTGGGCAT
-CACTGGCCTGAACGCTGAATTCCTGCGCCAGCTGAAACGCAAAGGCTTTGCCGATGCGCGTCTGGCAAAA
-CTGGCGGGCGTGCGCGAAGCGGAAATCCGCAAGCTGCGCGACCAGTATGACCTGCACCCGGTTTATAAGC
-GCGTGGATACCTGTGCGGCAGAGTTCGCCACCGACACCGCTTACATGTACTCCACTTATGAAGAAGAGTG
-CGAAGCGAATCCGTCTACCGACCGTGAAAAAATCATGGTTCTCGGCGGCGGCCCGAACCGTATCGGTCAG
-GGTATCGAATTCGACTACTGCTGTGTACACGCCTCGCTGGCGCTGCGCGAAGACGGTTACGAAACCATTA
-TGGTTAACTGTAACCCGGAAACCGTCTCCACCGACTACGACACTTCCGATCGCCTCTACTTCGAGCCGGT
-AACTCTGGAAGATGTGCTGGAAATCGTGCGTATTGAGAAGCCGAAAGGCGTTATCGTTCAGTACGGTGGT
-CAGACCCCGCTGAAACTGGCGCGCGCGCTGGAAGCTGCTGGCGTACCGGTTATCGGCACCAGCCCGGATG
-CTATCGACCGTGCAGAAGACCGTGAACGCTTCCAGCATGCGGTTGAGCGTCTGAAACTGAAACAACCGGC
-GAACGCCACCGTTACCGCTATTGAAATGGCGGTAGAGAAGGCGAAAGAGATTGGCTACCCGCTGGTGGTA
-CGTCCGTCTTACGTTCTCGGCGGTCGGGCGATGGAAATCGTCTATGACGAAGCTGACCTGCGTCGCTACT
-TCCAGACGGCGGTCAGCGTGTCTAACGATGCGCCAGTGTTGCTGGATCACTTCCTTGATGACGCGGTAGA
-AGTTGACGTGGATGCCATCTGCGACGGCGAAATGGTGCTGATTGGCGGCATCATGGAGCACATTGAGCAG
-GCGGGCGTGCACTCCGGTGACTCCGCATGTTCGCTACCAGCCTACACCTTAAGTCAGGAAATTCAGGATG
-TGATGCGCCAGCAGGTGCAGAAACTGGCCTTCGAATTGCAGGTGCGCGGCCTGATGAACGTGCAGTTTGC
-GGTTAAAAACAACGAAGTCTACCTGATTGAAGTTAACCCGCGTGCGGCGCGTACCGTTCCGTTCGTCTCC
-AAAGCCACCGGCGTTCCGCTGGCAAAAGTGGCGGCGCGTGTGATGGCTGGCAAATCGCTGGCTGAGCAGG
-GCGTAACCAAAGAAGTTATCCCGCCGTACTACTCGGTGAAAGAAGTGGTGCTGCCGTTCAATAAATTCCC
-GGGTGTTGACCCGCTGTTAGGGCCAGAAATGCGCTCTACCGGGGAAGTCATGGGCGTGGGCCGCACCTTC
-GCTGAAGCGTTCGCCAAAGCGCAGCTGGGCAGCAACTCCACCATGAAGAAACACGGTCGTGCGCTGCTTT
-CCGTGCGCGAAGGCGATAAAGAACGCGTGGTGGACCTGGCGGCAAAACTGCTGAAACAGGGCTTCGAGCT
-GGATGCGACGCACGGCACGGCGATTGTGCTGGGTGAAGCGGGTATCAATCCGCGTCTGGTGAACAAGGTG
-CATGAAGGCCGTCCGCACATTCAGGACCGTATTAAGAATGGCGAATATACCTACATCATCAACACCACCT
-CAGGTCGTCGTGCGATTGAAGACTCCCGCGTGATTCGTCGCAGTGCGCTGCAATATAAAGTGCATTACGA
-CACCACCCTGAACGGCGGCTTTGCCACCGCGATGGCGCTGAATGCCGATGCGACTGAAAAAGTAATTTCG
-GTGCAGGAAATGCACGCACAGATCAAATAATAGCGTGTCATGGCAGATATTTTTCATCCGCTAATTTGAT
-CGAATAACTAATACGGTTCTCTGATGAGGACCGTTTTTTTTTGCCCATTAAGTAAATCTTTTGGGGAATC
-GATATTTTTGATGACATAAGCAGGATTTAGCTCACACTTATCGACGGTGAAGTTGCATACTATCGATATA
-TCCACAATTTTAATATGGCCTTGTTTAATTGCTTCAAAACGAGTCATAGCCAGACTTTTAATTTGTGAAA
-CTGGAGTTCGTATGTGTGAAGGATATGTTGAAAAACCACTCTACTTGTTAATCGCCGAATGGATGATGGC
-TGAAAATCGGTGGGTGATAGCAAGAGAGATCTCTATTCATTTCGATATTGAACACAGCAAGGCGGTTAAT
-ACCCTGACTTATATTCTGTCGGAAGTCACAGAAATAAGCTGCGAAGTTAAGATGATCCCTAATAAGCTGG
-AAGGGCGGGGATGCCAGTGTCAGCGACTGGTTAAAGTGGTCGATATCGATGAGCAAATTTACGCGCGCCT
-GCGCAATAACAGTCGGGAAAAATTAGTCGGCGTAAGAAAGACACCGCGTATTCCTGCCGTTCCGCTCACG
-GAACTTAACCGCGAGCAGAAGTGGCAGATGATGTTGTCAAAGAGTATGCGTCGTTAATGTCATTTCGATG
-ATACCGTGCGACCTGGTCGCCGGATGCGATGCTGGCGCATCTTATCCGGCTTACGGTTGCTCTCCAGCCG
-GGTTGGATAAGGCGTTTATGCCGCATCCGACAGCTATCGCCGGATGCGATGCTGGCGCATCTTATCCGGC
-CTACGGTTGCTCTCCAGCAGAGTTGGATAAGGCGTTTACGCCGCATCCGGCAAGATCACCGTTTAGGCGT
-CACATCCGTTGTCCCCTGCAAACGGGGGCGATTTTCCTCCATTTGCCTCAACGGCTGCGTTTCATGTAAC
-GATGCATGATAGCGCCCGACAAGATCCTGATACTCTTTGGTATTCAACCGTTTCCAGTGTAACTCGTCGT
-CACTAACACTGCGTACAGCGCGGGCTGGCGTACCCATCAACAACTGGCGTTTCTCGCCGCTAAAGCCCGC
-TTTGACAAAGCTCATGGCGGCAACAATGCTCTCTTCGCCAATGACCGCGCCATCCATAATCACGCTGTTC
-ATCCCGACCAATGCATCGCGACCAATCACACAACCATGCAGGATCGCTCCGTGCCCGATATGGCCGTTTT
-CCCCAACAATGGTGTCAGTGTCGCAGTAGCCATGCATAATGCAGCCATCCTGAATATTGGCTCCCGCTTG
-CACGATCAACCGCCCGTAGTCACCACGCAGTGAGGCGAGTGGGCCGATGTAGACACCGGCTCCCACAATC
-ACATCGCCAATCAAGACGGCACTGGGATGGACAAACGCCGTCGGGTGAACCACCGGAATTAACCCCTCAA
-AGGCGTAATAGCTCACGGTTGTTAACGTCCTTTCCACACCGGATCGCGCTTCTCGGCAAACGCCAGCGGC
-CCTTCAATGGCATCCTCCGAATGCAGAACCGACGGATAGTGTTTCAACACGCCGCTGCGAATATAGCGAT
-ACGCTTCTTCTACCGGCATTTCGCTGGTGGTGCGGTAGATCTCTTTCAGCGCCGCAATCGCCAGCGGAGC
-GCTGTTAACCAGCTGCTGCGCCAGTTCGCGGGCGTTATCCATCAGTTCCGCCTGGCTAACCACGCGGTTG
-ACTATCCCCCAACGCAGCGCCTCTTCTGCGCCCATTCGTCTGCCGGTCATCACCATTTCATTGACGATGG
-CAGGCGGCAGGATCTTCGGCAGACGCAGCACACCGCCGCTGTCAGGAACGATGCCCAGTTTGGCTTCCGG
-CAGGGCGAAGCTGGCGTTATCGGCACAAACAATAAAATCTGCCGCCAGCGCCAGTTCGAAACCGCCGCCA
-AAGGCGTAGCCGTTCACAGCTGCGATAACTGGTTTGTCGAGATTGAAAATTTCGGTTAATCCCGCAAAAC
-CACCCGGGCCAAAGTCAGCATCCGGTGCTTCGCCTTCTGCTGCCGCTTTTAAATCCCAGCCCGCGGAAAA
-GAATTTCTCTCCGGCACCGGTAATAATGGCGACACGTAATTGCGGATCGTCACGGAAATTTAGAAATACT
-TCGCCCATTTCAAAGCTGGTTTTTGCATCAATAGCATTCGCTTTTGGGCGATCAAGGGTAATTTCCAGAA
-TTGATCCATTGCGGGTCAGATGTAATGATTCACTCATTCCTTTTCTCCATTTTTGCTTTTTCAGGGACGA
-CAACATTCCTGCAAAAAATGCATATTGTTTTAGAGCGTGATTATTAGCTGGCAGGGTAGTTCCCTGCCGT
-TTCATTTATTTCAGATTCTTTCTAATTATTTTCCCCGAGCAATTACGTGGCAGATCTTTTCTGATCTCCA
-GATAAGAGGGCACTTTAAATTTCGCCATATTTTGTTCGCAGAAGCGAAAAAATTCCTCTTCGCTCAATGT
-TTCACCTTCATTCAGCACCACAAATGCTTTGATGGCTTCATCGCGAATCGAATCTTTAATACCCACAACC
-ACGATGTCCTGAATTTTCGGATGGGTGGCGATGATATTTTCCAGCTCCACGCAGGAGACATTCTCGCCAC
-CGCGTTTGATCATATTGCAGCGGCGATCGACGAAATAAAAAAAGCCTTCTTCGTCGCGGTATCCGGTATC
-GCCGGTATGCAGCCAGCCATCAGCTTCCAGCACTTTCGCAGTGGCTTTCGGGTTGAGAAAATACTCTTTG
-AAGATGGTTTTCCCTGGTACGCCTTTAATACAGATTTCACCGATCTCACCTGCCGGGAGCGGGCAATTGT
-GATCGTCGCGGATCTCCGCTTCGTAGCAAAACCCCGCTCGACCAATCGACGGCCAGCGTCGTTTATCGCC
-AGGGCGATCGCCGATAATGCCCACAATGGTTTCCGTCATCCCATAAGACGTCAGCAAGCGAACGCCGAAG
-CGTTCACAAAACGCATCTTTTTCCTGCTCCGACAAGTTGAGATAAAACATCACTTCCCGCAGGCGGTGTT
-GCCGATCGTTCGCTGAAGGCGGCTGCACCATCAAGGTACGGATCATCATCGGAATACATTCGGTAACGGT
-GGCGCGGTACTTCTGTACCTGTCCCCAGAAGGCGCGGGCGCTGTATTTCTCGACCAGCACAAAGGTGGCC
-CCGGCAGAAAACGCCGCCATCGCCGCAGTACACTGGCAATCGATATGAAACGCAGGCATTACCGTCAGGT
-AGACGTCATCGTCACGCAGTGCACACTGCCAGGCGGAGTAATATCCAGCGAAGCGCAGGTTGTAATGGGT
-AATCACCACACCTTTCGGTCGGGAGGTGGTGCCGGAGGTGAAGAGAATTTCCGCCGTATCGTCAGTCGAT
-AGCGGCGGTGCATAGCACAAGGTGGCAGGTTGTTGATTTTTCAGTTGAGTAAACGAACTCACGCCATCAT
-CAGCGGGAAGTGCCACATCTGTCAGGCAAATGTGCCGCAATTGAGTGGCATCTTCCTGCTGAATCTGTTG
-ATACATAGGATAGAATTGCGCACTGGTTACCAGCAGGCACGCCTGGCTATTTTGCAGGATCCACGCGCTT
-TCCTCGCGTAACAGGCAGGCGTTAATCGGCACCATAATCGCGCCAATTTTTGCCAGCCCGAACCAGCAAA
-AGATAAATTCCGGGCAGTTGTCGAGATGTAGTGCAACCTTGTCGCCTTTGCGAATCCCCAGCGTATAAAA
-CAGGTTTGCCGTGCGGTTAATCTCCTGATTTAACTCAAGATAACTATACCGGTTAACGACTCCGCCGCTG
-GATTCACAAATCAGCGCCGTTTTATGACCGTAAACGTCCGCAAGATCGTCCCACATTTGACGTAGATGTT
-GTCCGACAATGATATCCATTGCACCTCTATCCATTTTTGTTCGTTTGTTATTGGGCGGGCGCTAGTCAGG
-CAAGCCGACTGACGCCACGCGTTTAGTCCTCAACTTTGGCCAGACCTTTGCTGACCAACTCCTGAATGTC
-GTTTTCGCTGTAGCCGATATTTTTCAAAATGGCAGCCGTGTCCATGCCATGTGAGGGCATTCCGCGCCAG
-ATTTGTCCGGGGTTATTTTTGAATTTCGGCATGATGTTCGGCCCTTTGCAGGTGCGACCATCCATCGTTT
-GCCACTGAGTGATTGATTCGCGAGCCACATACTGTGGATTGCTTTCCAGTTCCGGTACGGTCAGCACTTT
-GGCGCAGGCGATATTCAGTTCAGCAAAGCGTTCTTTTACTTCCGCGATGGTATGTGTCGCCAGCCAGGCA
-TCGAGTTTCTCTTCAACCAGTGGGCCGTAAGGGCATTCGATACGGTGGATAAGCTGAGTGCCTTCCGGGA
-TTTCTGGCGTGCCAAGCAGATGTGCGAGGCCAATATCTTTAAAGCACTCTTCAATTTGGGTAATGCCCAC
-CAGTTCCATCACGATGTAGCCGTCGGCACATTTATACAGACCGCAACCGGCGTAGTAGGGATCTTTACCT
-TTGCTCATGCGCGGGCACATTTCGCCGCCGTTGAAGTAATCCATCATGAAGTACTGGCCCATACGCAGCA
-TCACTTCATACATGGCGATGTCGATACTTTCGCCTTTACCGGTTTCACGCGCTTTATGCAGTGCTGCCAG
-CGCCGCCGTGGTGGCGGTCAGGCCAGAAAAGTAATCGGCGGTATACGGGAAGGCAGGCATTGGCTGGTCA
-ACATCACCGTTCTGAATCAGGTAACCACTGAAGGCCTGGGCGATGGTGTTTAGGCCGGAAGATTGGTGTA
-CTCCTCGGTGCCGTACTGACCAAAACCGGACAGGTGAGCGATAACCAGTTTCGGGTTGTGCTGCCACAGT
-ACTTCATCGGTAATGCCACGACGGGCAAAGGCCGGACCTTTACTGGCTTCGATGAAGATATCGGTGGTTT
-CCATTAATTTCAGAAACGCTTCGCGGCCTTCATCTTTGAAAATATTTAACGACAGCGCGTGCAAATTGCG
-GCGGGAGAGCTGCGGGTAGTTCGGTTGAACGCGAATGGTGTCGGCCCAGGCGACGTTCTCGATCCAGATA
-ACTTCCGCACCCCATTCTGCGAACATTTGCCCGGCGAACGGCCCGGCGATTTCGATACCGGAGAAGACAA
-CGCGCAATCCGGCCAACGGCCCGAATTTCGGCATGGGTAGATGATCCATTATTAGCTCCTGAAAAATTTA
-TGTAGCGCATGACTGCCGGATGCGGCGTAAACGCCTTATCCGGCCTACATTCGTGCTCCCGTAGGCCTGA
-TAAGACGCGTCAGCGTCGCATCAGGCAGCGCACGGACTTAGCGGTATTGCTTCAGCACCGCACGACCCAG
-CGTCAGGATCTGCATTTCGTCAGATCCTCCGGAAACGCGGTCTACACGCAGGTCACGCCAGAAGCGGCTG
-ATGCGGTGGTTGCCCGCAATCCCGACACCGCCCAGCACCTGCATTGCGCTATCCACCACTTCAAATGCCG
-CATTGGCGCAGAAGTATTTGCACATCGCTGCATCGCCAGAGGTGATGGTGCCGTTGTCTGCTTTCCACGC
-TGCTTCATACAGCATGTTTTTCATGGAGTTTAATTTGATCGCCATGTGGGCGAATTTTTCCTGAATCAAC
-TGGAAACGACCAATAGCCTCGCCAAACTGCACGCGCTGATTGGCGTAGCGCGCCGCATCTTCAAAGGCGC
-ACATCGCCGTACCGTAGTTGGTGAGGGCTACCAGGAAACGTTCATGGTCGAACTCTTCTTTGACGCGGTT
-AAAGCCGTTACCTTCCCGACCGAACATGTCTTTCTCGTCCAGTTCCACGTCGTCAAAGGTGATTTCACAG
-CAGCTATCCATACGCAGACCGAGCTTCTCAAGTTTGGTCACTTTGATGCCCGGTTTGCTCATATCAACAA
-ACCATTCGGTGTAGACAGGTTTGTCCGGAGAAGCCCCGTCGCGCGCCATCACCACGATGTACGGGGTGTA
-GGCGCTGCTGGTAATAAAACACTTACTACCATTAAGATAAATCTTACCATTTCTACGGGTATAAGTCGTT
-TTCAGGCTACCCACGTCGGAGCCCGCGCCCGGTTCGGTAATCGCTGAGTTCCACATCTGCTTACCGGTGC
-CGCGGAAAGCCATAATTTTGTCGATCTGCTCTTGTGTGCCTTCGCGCAGGAAGGTGTTGAACCCGCCCGG
-CAACTGGTACAGCACATAGGTTGGTGCCCCCAGACGTCCCAGCTCCATCCACACGGCGGCGAGAGTAACA
-AACCCCGCGTCCAGACCACCGTGCTCTTCAGGGATCAGCAGACTGTCGATACCCATATCCGCCAGTGCTT
-TGACAAAACGTTCCGGGTAGACGCTGTCACGGTCGCACTCGGCAAAATAGGCCTCCCAGTTTTCGCTGGC
-CATCAGTTCGCGGATACCGGCGACAAACAGTTCCTGCTCATCATTTAAATTAAAATCCATCTTTCAACCT
-CTTGATATTTTGGGGGTTAATTAATCTTTCCAGTTCTGTTTCGCGTCTTTAATAAAGGAGAGCGTCACCA
-TAATGTTGACGAAGAACAGCGGGCATCCTCCGGCGATAATGGCGGTTTGAATCGGTTTCAGGCCGCCGAG
-CGCCAGCAGAACAATACCGATAATGCCAACCAGAATTGACCAACCGATACGCACCAGCAGCGGTGGTTCT
-TCACCATCGCGTACTTCGCGGCAAGTGGACATCGCCAGGGTATAAGAGCAGGCGTTAACCAGCGTAACGG
-TGGCAATAAAGCAGAGGATGAAGAAGCCCCACATGGTGGCGGTGCTGAGTGGCAGAGCGGCCCAGGTTTC
-GATGATGGCGCGCGCCACACCGTACTGTTCGATCAGATTTGGAATGTTGATGATGTTTTTATCCATCAAC
-AGCAGAGTGTTACTACCGAGCACGGTCCACAGGATCCAGGTTGACGCTGTCAGCCCCAGCACCATGCCGA
-AGCACAGTTCACGCACAGTACGACCACGGGAGATGCGGGCGAGGAAGATACTCATCTGGATGGCGTAAAT
-CACCCACCATGCCCAGTAGAACACGGTCCAGCCCTGCGGGAAGCCGCCTTTAGCGATGGGATCGGTATAG
-AACAACATGCGCGGCAGATACATCAGCAACATCCCCACCGAATCGGTGAAGTAGTTCATGATGAAGCTGG
-CACCGCTGACAATGAACACCCAACCCAGCATCAGGAAGCTCAGGTAACTACGCACGTCACTGGCGATACG
-TACCCCTTTTTGCAGACCGCAAGCGACGCAAATGGCGTTGAGGATAATCCAGCAGGTAATGATGATAGCG
-TCCAGTTGCAGGGTATGCGGAATGCCAAACAACCATTGCATACACTCGGTCACCAGCGGCGTGGCAAGGC
-CCAGACTGGTACCCATCGCGAAGATCAAGGCGACGAGATAGAAGTTGTCGACGATAGTGCCGAACAACCC
-TTTGACGTGTTTTTCACCTACCAGCGGCACCAGTGTCGAGCTGGGGCGAATCACTTCCATTTTGCGGACA
-AAGAAGAAGTAAGCGAAGGCGACTGAAAGGAAGCTGTAAGTGGCCCACGGCAGAGGTCCCCAGTGGAACA
-AGCTGTAAGCCAGCCCCAACTCTTTCGCGCCTGTCGAGTTCGGTTCTAAGCCAAACGGCGGGGTGGAGAT
-GTAGTAGTAGATCTCAATCGATCCCCAGAACAGTACGGCAGCAGACGTACAGGAGGCGAACATCATAAAG
-ATCCAACTGGCGGTACTAAATTCAGGTGGTTCGTTACCTAAACGCTTTTTGGCATACGGGCCAAACACCA
-GCCAGAACCAACCGAAAAGCATCACCACCATATACCATTCAAATGCCCATCCCCATACATTGGTGACGTA
-ACTGAATACAGCATTAATAACGACATTCGCTGCATCCAGATCTCTGACTGTAAGCCAACAAAGTATGCCG
-ACGATTATTAACGGCGGAAAGAAAACCTTCGGTTCTATTCCCGTTTTTCTCTTTTCATTCTTCATGAGTT
-AATTCCACTGTGAAAACGAATATTTATTTTGCGTTCCCGTTTGTTTTATTTTTGTTAACATTTAATATAA
-TTATTATTAACCTCGTGGACGCGTTAATGGCTAACTCATAATGGGTATTCAATAAGCTGCATTCTGTGAT
-TGTTATCACATTTTTGTTTCGGGTGAATAGAGGGCGCTTTTCTCGTTAATTTTGATTATTAATCAGTTTG
-TTATGTTGTGTTGTGAGTAAAAAAATAGCATCTGACTTTCAATATTGGTGATCCATAAAGCAATATTGAA
-AATTTCTTTTTGCTACGCCATGTTTTCAATATTGGTGAGGAACTTAACAATATTGAAAGTTGGATTTATC
-TGCGTGTGACATTTTCAATATTGGTGATTAAAGTTTTATTTCCAAATTAAAGGGCGTGATATCTGTAATT
-AACACCACCGATATGAACGACGTTTCCTTCATGATTTCTGGAGATGCAATGAAGATTATTACTTGCTATA
-AGTGCGTGCCTGATGAACAGGATATTGCGGTCAATAATGCTGATGGTTCATTAGACTTCAGCAAAGCCGA
-TGCCAAAATAAGCCAATACGATCTGAACGCTATTGAAGCGGCTTGCCAGCTAAAGCAACAGGCAGCAGAG
-GCGCAGGTGACGGCCTTAAGTGTGGGCGGTAAAGCCCTGACCAACGCCAAAGGGCGTAAAGATGTGCTAT
-CGCGCGGCCCGGATGAACTGATTGTGGTGATTGATGACCAGTTCGAGCAGGCACTGCCGCAACAAACGGC
-GAGCGCACTGGCTGCAGCCGCCCAGAAAGCAGGCTTTGATTTGATCCTCTGTGGCGATGGTTCTTCCGAC
-CTTTATGCCCAGCAGGTTGGTCTGCTGGTGGGCGAAATCCTCAATATTCCGGCAGTTAACGGCGTCAGCA
-AAATTATCTCTCTGACTGCAGATACCCTCACCGTTGAGCGCGAACTGGAAGATGAAACCGAAACCTTAAG
-CATTCCGCTGCCTGCGGTTGTTGCTGTTTCCACTGATATCAATTCCCCACAAATTCCTTCGATGAAAGCC
-ATTCTCGGCGCGGCGAAAAAGCCCGTCCAGGTATGGTCGGCGGCGGATATTGGTTTTAACGCAGAGGCAG
-CCTGGTCAGAACAACAGGTTGCCGCGCCGAAACAGCGCGAACGTCAGCGCATCGTGATTGAAGGCGACGG
-CGAAGAACAGATCGCCGCATTTGCTGAAAATCTTCGCAAAGTCATTTAATTACAGGGGATGCTATGAACA
-CGTTTTCTCAAGTCTGGGTATTCAGCGATACCCCTTCTCGTCTGCCGGAACTGATGAACGGTGCGCAGGC
-TTTAGCTAATCAAATCAACACCTTTGTCCTCAATGATGCCGACGGCGCACAGGCAATCCAGCTCGGCGCT
-AATCATGTCTGGAAATTAAACGGCAAACCGGACGATCGGATGATCGAAGATTACGCCGGTGTCATGGCTG
-ACACTATTCGCCAGCACGGCGCAGACGGTCTGGTGCTGCTGCCAAACACCCGTCGCGGCAAATTACTGGC
-GGCAAAACTGGGTTATCGCCTTAAAGCGGCGGTGTCTAACGATGCCAGCACCGTCAGCGTACAGGACGGT
-AAAGCGACAGTGAAACACATGGTTTACGGTGGTCTGGCGATTGGCGAAGAACGCATTGCCACGCCGTATG
-CGGTACTGACCATCAGCAGCGGCACGTTCGATGCGGCTCAGCCAGACGCGTCACGCACTGGCGAAACGCA
-CACCGTGGAGTGGCAGGCTCCGGCTGTGGCGATTACCCGCACGGCAACCCAGGCGCGCCAGAGCAACAGC
-GTCGATCTCGACAAAGCCCGTCTGGTGGTCAGCGTCGGTCGCGGTATTGGCAGCAAAGAGAACATTGCGC
-TGGCAGAACAGCTTTGCAAGGCGATAGGTGCGGAGTTGGCCTGTTCTCGTCCGGTGGCGGAAAACGAAAA
-ATGGATGGAGCACGAACGCTATGTCGGTATCTCCAACCTGATGCTGAAACCTGAACTGTACCTGGCGGTG
-GGGATCTCCGGGCAGATCCAGCACATGGTTGGCGCTAACGCGTCGCAAACCATTTTCGCCATCAATAAAG
-ATAAAAATGCGCCGATCTTCCAGTACGCGGATTACGGCATTGTTGGCGACGCCGTGAAGATCCTTCCGGC
-GCTGACCGCAGCTTTAGCGCGTTGATCCACTCTGGCAGGGCTGCATTTTGGCCCTGCCGCTGACAGGGAG
-CTCTTATGTCCGAAGATATCTTTGACGCCATCATCGTCGGTGCAGGGCTTGCCGGTTCGGTTGCCGCACT
-GGTGCTCGCCCGCGAAGGTGCGCAAGTGTTAGTTATCGAGCGTGGCAATTCCGCAGGTGCCAAGAACGTC
-ACCGGCGGGCGTCTCTATGCCCACAGTCTGGAACACATTATTCCTGGTTTCGCCGACTCCGCCCCCGTAG
-AACGCCTGATCACCCATGAAAAACTCGCGTTTATGACGGAAAAGTCAGCGATGACTATGGACTACTGCAA
-TGGTGACGAAACCTCGCCATCCCAGCGTTCTTACTCCGTTTTGCGCAGTAAATTTGATGCCTGGCTGATG
-GAGCAGGCCGAAGAAGCGGGCGCGCAGTTAATTACCGGGATCCGCGTCGATAACCTCGTACAGCGCGATG
-GCAAAGTCGTCGGTGTAGAAGCCGATGGCGATGTGATTGAAGCGAAAACGGTGATCCTTGCTGATGGGGT
-GAACTCCATCCTTGCCGAAAAATTGGGGATGGCAAAACGCGTCAAACCGACGGATGTGGCGGTTGGCGTG
-AAGGAACTGATCGAGTTACCGAAGTCGGTTATTGAAGACCGTTTTCAGTTGCAGGGTAATCAGGGGGCGG
-CTTGCCTGTTTGCGGGATCACCCACCGATGGCCTGATGGGCGGCGGCTTCCTTTATACCAATGAAAACAC
-CCTGTCGCTGGGGCTGGTTTGTGGTTTGCATCATCTGCATGACGCGAAAAAATCGGTGCCGCAAATGCTG
-GAAGATTTCAAACAGCATCCGGCCGTTGCACCGCTGATCGCGGGCGGCAAGCTGGTGGAATATTCCGCTC
-ACGTAGTGCCGGAAGCAGGCATCAACATGCTGCCGGAGTTGGTTGGTGACGGCGTATTGATTGCCGGTGA
-TGCCGCCGGAATGTGTATGAACCTCGGTTTTACCATTCGCGGTATGGATCTGGCGATTGCCGCCGGGGAA
-GCCGCAGCAAAAACCGTGCTTTCAGCGATGAAAAGCGACGATTTCAGTAAGCAAAAACTGGCGGAATATC
-GTCAGCATCTTGAGAGTGGTCCGCTGCGCGATATGCGTATGTACCAGAAACTACCGGCGTTCCTTGATAA
-CCCACGCATGTTTAGCGGCTACCCGGAGCTGGCGGTGGGTGTGGCGCGTGACCTGTTCACCATTGATGGC
-AGCGCGCCGGAACTGATGCGCAAGAAAATCCTCCGCCACGGCAAGAAAGTGGGCTTCATCAATCTAATCA
-AGGATGGCATGAAAGGAGTGACCGTTTTATGACTTCTCCCGTCAATGTGGACGTCAAACTGGGCGTCAAT
-AAATTCAATGTCGATGAAGAGCATCCGCACATTGTTGTGAAGGCCGATGCTGATAAACAGGCGCTGGAGC
-TGCTGGTGAAAGCGTGCCCCGCAGGTCTGTACAAGAAGCAGGATGACGGCAGTGTGCGCTTCGATTACGC
-CGGATGTCTGGAGTGCGGCACCTGTCGCATTCTGGGGCTGGGGTCGGCGCTGGAACAGTGGGAATACCCG
-CGCGGCACCTTTGGTGTGGAGTTCCGTTACGGCTGATGTTGGTTTGATACGTAACGCCGCACTGACTCTC
-ATTGCAAAAAACAGGAATAACCATGCAACCGTCCAGAAACTTTGACGATCTCAAATTCTCCTCTATTCAC
-CGCCGCATTTTGCTGTGGGGAAGCGGTGGTCCGTTTCTGGATGGTTATGTACTGGTAATGATTGGCGTGG
-CGCTGGAGCAACTGACGCCGGCGCTAAAACTGGACGCTGACTGGATTGGCTTGTTGGGCGCGGGAACGCT
-CGCCGGGCTGTTCGTTGGCACATCGCTGTTTGGCTATATTTCCGATAAAGTCGGACGGCGCAAAATGTTC
-CTCATTGATATCATCGCCATCGGCGTGATATCGGTGGCGACGATGTTTGTTTCATCCCCCGTCGAACTGT
-TGGTGATGCGGGTACTTATCGGCATTGTCATCGGTGCAGATTATCCCATCGCCACCTCAATGATCACCGA
-GTTCTCCAGTACCCGTCAGCGGGCGTTTTCCATCAGCTTTATCGCCGCCATGTGGTATGTCGGCGCGACC
-TGCGCCGATCTGGTCGGCTACTGGCTTTATGATGTGGAAGGCGGCTGGCGCTGGATGCTGGGTAGCGCGG
-CGATCCCCTGTTTGTTGATTTTGATTGGTCGATTCGAACTGCCTGAATCTCCCCGCTGGTTATTACGCAA
-AGGGCGAGTAAAAGAGTGCGAAGAGATGATGATAAAACTGTTTGGCGAACCGGTGGCTTTCGATGAAGAG
-CAGCCGCAGCAAACCCGTTTTCGCGATCTGTTTAATCGCCGCCATTTTCCTTTTGTTCTGTTTGTTGCCG
-CCATCTGGACCTGCCAGGTGATCCCAATGTTCGCCATTTACACCTTTGGCCCGCAAATCGTTGGTTTGTT
-GGGATTGGGTGTTGGCAAAAACGCGGCGCTGGGGAACGTGGTGATTAGCCTGTTCTTTATGCTCGGCTGT
-ATTCCGCCGATGCTGTGGTTAAACACTGCCGGACGGCGTCCATTGTTGATTGGCAGCTTTGCCATGATGA
-CGCTGGCGCTGGCGGTTTTGGGGCTGATCCCGGATATGGGGATCTGGCTGGTAGTGATGGCCTTTGCGGT
-GTATGCCTTTTTCTCTGGCGGGCCGGGTAATTTGCAGTGGCTCTATCCTAATGAACTCTTCCCGACAGAT
-ATCCGCGCCTCTGCCGTGGGCGTGATTATGTCCTTAAGCCGTATTGGCACCATTGTTTCGACCTGGGCAC
-TGCCGATCTTTATCAATAATTACGGTATCAGTAACACGATGCTAATGGGGGCGGGTATCTCGCTGTTTGG
-CTTGTTGATTTCCGTAGCGTTTGCCCCGGAGACTCGAGGGATGTCACTGGCGCAAACCAGCAATATGACG
-ATCCGCGGGCAGAGAATGGGGTAAATTGTTCAGATTTCTCTCTTTTCTGAATCAATATTATTGACTATAA
-GCCGCGTGAATATATGACTACACTTTGTGGGAAAACAAAGGCGTAATCACGCGGGCTACCTATGATTCTT
-ATAATTTATGCGCATCCGTATCCGCATCATTCCCATGCGAATAAACGGATGCTTGAACAGGCAAGGACGC
-TGGAAGGCGTCGAAATTCGCTCTCTTTATCAACTCTATCCTGACTTCAATATCGATATTGCCGCCGAGCA
-GGAGGCGCTGTCTCGCGCCGATCTGATCGTCTGGCAGCACCCGATGCAGTGGTACAGCATTCCTCCGCTC
-CTCAAACTTTGGATCGATAAAGTTTTCTCCCACGGCTGGGCTTACGGTCATGGCGGCACGGCGCTGCATG
-GCAAACATTTGCTGTGGGCGGTGACGACCGGCGGCGGGGAAAGCCATTTTGAAATTGGTGCGCATCCGGG
-CTTTGATGTGCTGTCGCAGCCGCTACAGGCGACGGCAATCTACTGCGGGCTGAACTGGCTGCCACCGTTT
-GCCATGCACTGCACCTTTATTTGTGACGACGAAACCCTCGAAGGGCAGGCGCGTCACTATAAGCAACGTC
-TGCTGGAATGGCAGGAGGCCCATCATGGATAGCCATACGCTGATTCAGGCGCTGATTTATCTCGGTTCGG
-CAGCGCTGATTGTACCCATTGCGGTACGTCTTGGTCTGGGATCGGTACTTGGCTACCTGATCGCCGGCTG
-CATTATTGGCCCGTGGGGGCTGCGACTGGTGACCGATGCCGAATCTATTCTGCACTTTGCCGAGATTGGG
-GTGGTGCTGATGCTGTTTATTATCGGCCTCGAACTCGATCCACAAAGGCTGTGGAAGCTGCGTGCGGCAG
-TGTTCGGCGGTGGCGCATTGCAGATGGTGATTTGCGGCGGCCTGCTGGGGCTGTTCTGCATGTTACTTGG
-GCTGCGCTGGCAGGTCGCGGAATTGATCGGCATGACGCTGGCGCTCTCCTCTACGGCGATTGCCATGCAG
-GCGATGAATGAACGCAATCTGATGGTGACGCAAATGGGTCGCAGTGCCTTTGCGGTGCTGCTGTTCCAGG
-ATATCGCGGCGATCCCGCTGGTGGCGATGATTCCGCTACTGGCAACGAGCAGTGCCTCGACGACGATGGG
-CGCATTTGCTCTCTCGGCGTTAAAAGTGGCGGGTGCGCTGGTGCTGGTGGTATTGCTGGGGCGCTATGTC
-ACGCGTCCGGCGCTGCGTTTTGTAGCCCGCTCTGGCTTGCGGGAAGTGTTTAGTGCCGTGGCGTTATTCC
-TCGTGTTTGGCTTTGGTTTGCTGCTGGAAGAGGTCGGCTTGTCGATGGCGATGGGCGCGTTTCTGGCGGG
-CGTACTGCTGGCAAGCTCGGAATACCGTCATGCGCTGGAGAGCGATATCGAACCATTTAAAGGTTTGCTG
-TTGGGGCTGTTTTTCATCGGTGTTGGCATGTCGATAGACTTTGGCACGCTGCTTGAAAACCCATTGCGCA
-TTGTCATTTTGCTGCTCGGTTTCCTCATCATCAAAATCGCCATGCTGTGGCTGATTGCCCGACCGTTGCA
-AGTGCCAAATAAACAGCGTCGTTGGTTTGCGGTGTTGTTAGGGCAGGGCAGTGAGTTTGCCTTTGTGGTA
-TTTGGCGCGGCGCAGATGGCGAATGTGCTGGAGCCGGAGTGGGCGAAATCGCTGACCCTGGCGGTGGCGC
-TGTCGATGGCAGCAACGCCGATTCTGCTGGTGATCCTCAATCGCCTTGAGCAATCTTCTACTGAGGAAGC
-GCGTGAAGCCGATGAGATCGACGAAGAACAGCCGCGCGTGATTATCGCCGGATTCGGTCGTTTTGGGCAG
-ATTACCGGACGTTTACTGCTCTCCAGCGGGGTGAAAATGGTGGTACTCGATCACGATCCGGACCATATCG
-AAACCTTGCGTAAATTTGGTATGAAAGTGTTTTATGGCGATGCCACGCGGATGGATTTACTGGAATCTGC
-CGGAGCGGCGAAAGCGGAAGTGCTGATTAACGCCATCGACGATCCGCAAACCAACCTGCAACTGACAGAG
-ATGGTGAAAGAACATTTCCCGCATTTGCAGATTATTGCCCGCGCCCGCGATGTCGACCACTACATTCGTT
-TGCGTCAGGCAGGCGTTGAAAAGCCGGAGCGTGAAACCTTCGAAGGTGCGCTGAAAACCGGGCGTCTGGC
-ACTGGAAAGTTTAGGTCTGGGGCCGTATGAAGCGCGAGAACGTGCCGATGTGTTCCGCCGCTTTAATATT
-CAGATGGTGGAAGAGATGGCAATGGTTGAGAACGACACCAAAGCCCGCGCGGCGGTCTATAAACGCACCA
-GCGCGATGTTAAGTGAGATCATTACCGAGGACCGCGAACATCTGTCATTAATTCAACGACATGGCTGGCA
-GGGAACCGAAGAAGGTAAACATACCGGCAACATGGCGGATGAACCGGAAACGAAACCCTCATCCTAATAA
-AGAGTGACGTAAATCACACTTTACAGCTAACTGTTTGTTTTTGTTTCATTGTAATGCGGCGAGTCCAGGG
-AGAGAGCGTGGACTCGCCAGCAGAATATAAAATTTTCCTCAACATCATCCTCGCACCAGTCGACGACGGT
-TTACGCTTTACGTATAGTGGCGACAATTTTTTTTATCGGGAAATCTCAATGATCAGTCTGATTGCGGCGT
-TAGCGGTAGATCGCGTTATCGGCATGGAAAACGCCATGCCGTGGAACCTGCCTGCCGATCTCGCCTGGTT
-TAAACGCAACACCTTAAATAAACCCGTGATTATGGGCCGCCATACCTGGGAATCAATCGGTCGTCCGTTG
-CCAGGACGCAAAAATATTATCCTCAGCAGTCAACCGGGTACGGACGATCGCGTAACGTGGGTGAAGTCGG
-TGGATGAAGCCATCGCGGCGTGTGGTGACGTACCAGAAATCATGGTGATTGGCGGCGGTCGCGTTTATGA
-ACAGTTCTTGCCAAAAGCGCAAAAACTGTATCTGACGCATATCGACGCAGAAGTGGAAGGCGACACCCAT
-TTCCCGGATTACGAGCCGGATGACTGGGAATCGGTATTCAGCGAATTCCACGATGCTGATGCGCAGAACT
-CTCACAGCTATTGCTTTGAGATTCTGGAGCGGCGGTAATTTTGTATAGAATTTACGGCTAGCGCCGGATG
-CGACGCCGGTCGCGTCTTATCCGGCCTTCCTATATCAGGCTGTGTTTAAGACGCCGCCGCTTCGCCCAAA
-TCCTTATGCCGGTTCGACGGCTGGACAAAATACTGTTTATCTTCCCAGCGCAGGCAGGTTAATGTACCAC
-CCCAGCAGCAGCCGGTATCCAGCGCGTATATACCTTCCGGCGTACCTTTGCCCTCCAGCGATGCCCAGTG
-ACCAAAGGCGATGCTGTATTCTTCAGCGACAGGGCCAGGAATCGCAAACCACGGTTTCAGTGGGGCAGGG
-GCCTCTTCCGGCGATTCTTTGCTGTACATATCCAGTTGACCGTTCGGGAAGCAAAAACGCATACGGGTAA
-AAGCGTTGGTGATAAAACGCAGTCTTCCCAGCCCCCGCAATTCCGGTGACCAGTTATTTGGCATATCGCC
-GTACATAGCGTCGAGAAAGAAGGGATAGGAGTCACTCGATAGCACCGCTTCTACATCGCGCGCGCACTCT
-TTGGCGGTCTGTAGATCCCACTGCGGCGTGATCCCTGCGTGGGCCATCACCAACTTTTTCTCTTCGTCGA
-TTTGCAGCAAAGGCTGGCGACGCAGCCAGTTAAGCAGCTCGTCGGCATCCGGCGCTTCCAGCAGCGGTGT
-CAGGCGATCTTTCGGTTTATTGCGGCTGATCCCGGCAAATACCGCCAGCAGATGCAGATCGTGATTGCCC
-AGCACCAGACGTACGCTGTCGCCTAAGGATTTCACATAGCGCAGAACATCCAGCGAACCCGGGCCGCGCG
-CGACCAGATCGCCCGTTAGCCAGAGGGTATCTTTCCCAGGGGTAAATTCTACTTTATGCAGCAATGCGAT
-CAGTTCATCGTAACAACCATGAACGTCGCCAATAAGGTATGTCGCCATATTCTTTTAATGAATGAGTGTG
-GGAACGGCGAGTCGGAATACGGGAATGTCGATGCTGAAAGGGACGCCATTTTCATCGATCATTTCGTAGT
-GACCCTGCATGGTGCCCAGCGGGGTTTCAATGATTGCACCGCTGGTGTACTGGTACTCTTCGCCAGGCGC
-GATAAGTGGCTGGACGCCAACCACTCCTTCGCCCTGGACTTCGGTTTCACGGCCATTGCCATTGGTGATC
-AGCCAGTAACGCCCCAACAACTGCACTGGCGCTCGCCCCAGATTGCGTATGGTTACGGTATAAGCAAAAA
-CGTAACGTTCATTATCAGGTGAAGATTGTGCCTCAATGTAGACGCTTTGAACCTGAATACACACTCGGGG
-CGAATTGATCATCGTTAACTCTCCTGCAAAGGCGCGTTCTCCGCCAGATAGTTCGCCATCTGGCAATATT
-GCGCGACAGAGATATTTTCCGCTCGCATCGCCGGGTCGATCCCCATTCCCGTTAACACCTCGACGCTAAA
-CAGGTTGCCGAGGCTGTTACGGATGGTTTTACGACGCTGGTTAAAGGCTTCGGTGGTGATGCGGCTCAAC
-ACACGAACATCTTTAACCGGGTGAGGCATCGTTGCATGAGGAACCAGGCGCACGACGGCGGAATCCACTT
-TGGGTGGTGGTGTAAAGGCTGACGGCGGTACTTCCAGCACTGGGATCACGTTGCAATAGTATTGCGCCAT
-GACGCTTAATCGACCATACGCTTTGCTGTTCGGTCCTGCAACCAGACGATTCACCACCTCTTTTTGCAAC
-ATAAAGTGCATGTCGGCAATGGCATCAGTATAGCTAAACAGATGGAACATCAACGGCGTGGAGATGTTAT
-AAGGCAGGTTGCCGAAAACACGCAGCGGCTGACCCATTTTCTCGGCCAGTTCGCCAAAGTTAAAGGTCAT
-CGCATCCTGCTGATAAATCGTCAGTTTCGGGCCTAAGAATGGATGCGTTTGCAGACGTGCCGCCAGATCG
-CGGTCAAGTTCGATGACCGTCAGCTGGTCCAGACGTTCGCCGACCGGCTCGGTCAATGCCGCCAGACCGG
-GGCCGATTTCGACCATTGCCTGGCCCTTTTGCGGGTTAATGGCAGACACAATACTGTCGATCACGAACTG
-ATCGTTGAGAAAGTTTTGCCCGAAGCGTTTACGGGCTAAGTGGCCCTGGTGGACTCGATTATTCATTGGG
-TGTTAACAATCATTTTGATGGCGAGATTAAGCGCCGTAATAAAACTGCCGACATCGGCTTTGCCACGTCC
-CGCCAGTTCAAGCGCGGTGCCGTGGTCCACTGATGTGCGAATAAAGGGCAGGCCCAGCGTAATGTTCACA
-CCGCGCCCGAAGCCCTGGTATTTTAGCACGGGAAGACCCTGATCGTGGTACATCGCCAGCACGGCGTCGG
-CGTTATCAAGATATTTCGGCTGAAACAGGGTATCGGCAGGCAGCGGCCCGTTGAGTTTCATCCCCTGCGC
-CCGCAGCTCATTGAGCACCGGAATAATGGTGTCTATCTCTTCCGTACCCATATGACCGCCTTCGCCCGCG
-TGCGGATTCAGCCCGCAGACCAGAATGCGCGGTTCGGCAATACCAAATTTGGTCCGCAAATCGTGATGCA
-AAATAGCAATCACTTCGTGCAAAAGTGCAGGGGTGATAGCGTCTGCGATATCGCGCAGCGGTAAATGCGT
-CGTTGCCAGCGCCACGCGAAGTTCTTCGGTCGCCAGCATCATCACCACCTTTTTCGCCTGCGAACGCTCT
-TCGAAAAACTCGGTATGACCGGTAAAAGGAATGCCAGCGTCGTTAATAACGCCTTTATGCACCGGACCTG
-TGATCAGCGCGGCAAATTCGCCGTTCAGACAACCATCGCACGCTCGCGCCAGCGTTTCCACCACATAATG
-CCCATTTTCAACCGCTAACTGCCCCGCAGTGACAGGTGCACGTAGCGCGACAGGAAGTAGCGTTAATGTG
-CCCGCAGTTTGCGGTTGTGCAGGGGAGTTGGGGGAATAAGGGCGGAGGGTGAGCGGCAAACCGAGCATCG
-CTGCCCGGTTGGTAAGGAGAGTGGCATCGGCACAAACAACCAGTTCGACCGGCCACTCACGCTGTGCAAG
-CTGGACAACTAAGTCCGGGCCAATCCCGGCGGGCTCGCCGGGAGTGATCACAACACGTTGGGTTTTAACC
-ATTAGTTGCTCAGGATTTTAACGTAGGCGCTGGCACGTTGTTCCTGCATCCAGCTTGCTGCTTCTTCCGA
-GAACTTACGGTTCATCAGCATGCGGTATGCACGATCTTTCTGCGCAGCGTCGGTTTTATCGACATTTCGG
-GTATCCAGCAGTTCGATTAAATGCCAGCCGAATGAAGAGTGAACCGGTGCACTCATTTGACCTTTGTTCA
-GGCGGGTCAGGGCGTCACGGAAAGCCGGATCGAAAATATCTGGTGTAGCCCAGCCGAGATCGCCGCCCTG
-GTTAGCAGAGCCTGGATCCTGAGAGAACTCTTTCGCTGCGGCAGCAAAAGTCGTTTTACCACTCTTGATA
-TCAGCAGCAATCTGTTCCAGTTTCACACGGGCCTGTTCGTCAGTCATGATCGGCGACGGTTTCAGCAGAA
-TATGGCGAGCATGAACTTCGGTCACCGAGATATTTTTGCTTTCGCCGCGCAGGTCGTTAACTTTCAGAAT
-ATGGAAGCCAACGCCGGAACGAATCGGGCCAACAATGTCGCCTTTCTTCGCGGTGCTTAATGCCTGGGCG
-AAGATCCCGGGCAACTCCTGAATACGGCCCCAGCCCATCTGGCCGCCGTTCAGCGCCTGCTGGTCGGCAG
-AATGAGCAATCGCCAGCTTACCGAAATCAGCGCCGTTACGCGCCTGATCGACAATGGCGCGCGCCTGGCT
-TTCCGCTTCGTTCACCTGATCAGAGGTCGGGTTTTCCGGCAGCGGGATCAGGATGTGGCTCAGGTTCAGC
-TCAGTGCTGGCGTCGTTTTGGTTACCCACCTGCTGCGCCAGGGATTCGACTTCCTGCGGCAGGATGGTGA
-TGCGACGACGCACCTCGTTGTTACGCACTTCAGAGATAATCATCTCTTTGCGGATCTGGTTACGATAGGT
-GTTGTAGTTCAGTCCATCGTAAGCCAGACGGCTGCGCATCTGATCCAGCGTCATGTTGTTCTGTTTCGCG
-ATGTTAGCAATCGCCTGATCCAGCTGCTCATCGGAGATTTTCACTCCCATTTTCTGCCCCATCTGCAGGA
-TGATTTGATCCATGATCAAACGTTCCATGATTTGGTGGCGCAGCGTCGCGTCATCAGGAAGTTGCTGCCT
-TGCCTGAGCAGCGTTCAGTTTTACCGACTGCATTAATCCATCAACGTCGCTTTCCAGCACGACGCCGTTA
-TTGACGACGGCTGCGACTTTATCGACTACCTGGGGGGCAGCGAAACTGGTATTCGCGATCATGGCGATAC
-CGAGAAGCAGCGTTTTCCAGTTCTTCATACTTTTTCCATTTCAATTAACCGCACTGCGGATTACGTGGTA
-AATCAACAAATCACAAAGTGTTTTGATACGGCAGAATGTTCGAACGCAGCATCTCTTGCGTACCCAGACC
-GTAGTTGGAGCTCAGGCCGCGAAGTTCGATGTTAAAGCCGATTGCGTTGTCATATACCGCATGTTGTTTA
-TCGTTATCCCAACCGTTCAGCTTCCGCTCGTAACCGACGCGAATTGCATAGCAGCAGGAGCTGTATTGCA
-CACCTAACATAGAGTCGGCTTGCTTGTTAGCATTGGTGTCGTAGTAGTAGGCCCCAACAATGGACCAACG
-ATCGGCAATTGGCCAGCTGGCGACAGCACCTACCTGCGAAATACCATTCTTATATTGCTCAGCAGTGGAA
-TAGTACTTAGGCAGCGTAGCCTGAATATATTCCGGGCTGGCGTAACGGTAATTCAGCTGTACCAGACGGT
-CTTCATCCCGACGGTATTCAATGCTGGAGTTACTGGTCGCTACGTTATCCAGACGTGTATCGTACTGAAT
-CCCGCCACGCAATCCCCAACGCTCGGAGATACGCCAGTAAGTATCGCCTGCCCACACCAGTGAACCCGTT
-TTGTCGTCATTCTCCCATGTTATGTTGTCATCGCCAGTGCGAGACTCCGTGAAATAGTAGATTTGACCAA
-CGGAAATATTAAAACGTTCAACGGCAGCATCATCATATATGCGAGATGTGACACCGGTCGTCACCTGGTT
-AGCGGAGGCAATACGGTCAAGACCGCCGTAAGTCCGGTCCCGGAACAGGCCAGAGTAGTCAGATTGCAGC
-AGAGACGAGTCGTAGTTATAGATGTCGCTCTGATCGCGATACGGCACGTACAAATACTGCGCGCGCGGTT
-CCAGCGTTTGGGTATAACCCGGAGCCAGCATTTCCATATCGCGTTCAAAGACCATTTTGCCGTCAACTTT
-GAATTGCGGCATTACGCGGTTAACGGATTCGTCCAGCTTGGTCGTGTTTCTGGAGTTATACCAGTCAAGA
-TTGGTTTGCTGATAATGGGTTGCCAGCAACTTCGCTTCGGTATTGATGCTGCCCCAGTTATTAGAGAGCG
-GCAAATTGATGGTCGGTTCCAGGTGAACACGGGTTGCTTCAGGCATGTCGTCTCTGGTGTTAACAAAGTG
-CACTGCCTGGCCGTAAATACGCGTATCAAACGGACCAACATCATTCTGGTAGTAATTAACGTCTAACTGC
-GGCTCTGCCGAGTAGCTACTGGTGTTCTGTTCGCTGAAAACCTGGAACTGCTTGGTTGAAACGGTGGCAT
-TGAAGTTTTGCACCGCATAGCCAACGCTGAATTTTTGCGTTGCGTAGCCGTCAGTACTGGAACCGTACTT
-GTTATCGAAATCATTGAAGTAGCTAGGATCGCTGACCTTGGTGTAGTCGACGTTGAAACGCCACACCTGA
-TCCATGACCCCGGAGTGGTTCCAGTAGAATAACCAACGACGTGAACTGTCATCGTTCGGGTGTTCATCTT
-CATAGACTTTATCTGAAGGCAGATAGTCCAGTTCCATCAAGCCAGCGCCCGCTTGGGAGAGGTAGCGGAA
-TTCGTTCTCCCACATGATGTTGCCACGACGATGCATATAATGCGGCGTGATGGTGGCATCCATATTTGGC
-GCGATGTTCCAGTAATATGGCAGGTAGAACTCAAAGTAGTTGGTGGTGGTGTACTTGGCGTTCGGGATCA
-AGAAACCAGAGCGACGTTTGTCACCCACCGGCAACTGCAAATAGGGGCTATAAAAGATCGGTACCGGACC
-CACCTTAAAGCGGGCGTTCCAGATCTCCGCAACTTGTTCTTCGCGGTCATGAATAATTTCGCTACCTACC
-ACGCTCCAGGTGTCAGAACCCGGCAGACAGGAGGTAAAGCTACCGTTATCCAGAATGGTATAGCGGTTTT
-CGCCACGTTGTTTCATCAGGTCCGCTTTACCGCGACCCTGGCGACCCACCATCTGGTAATCACCTTCCCA
-GACGTTGGTATCTTTGGTGTTCAGATTCGCCCAGCCTTTCGGCCCTTTGAGGATCACCTGGTTATCGTCG
-TAATGGACATTACCGAGCGCATCAACGGTTCGTACCGGCTCCGGTTGTCCTGGTGCCTCTTTTTGATGGA
-GCTGCACTTCGTCGGCCTGCAGACGGCTGTTACCCTGCATGATATCCACGCTGCCAGTAAACACGGCGTC
-ATCCGGGTAGTCCCCTTTCGCGTGGTCAGCATTGATAGTCACGGGTAAGTCATTGGTATCGCCCTGTACC
-AGAGGACGGTCATAGCTTGGCACGCCCAACATGCACTGTGAGGCGAGGTCGGCTGCCAGTCCCTGTTGAC
-TATAAAGGGCGGTGGCAATCATGGTGGCCAGGAGAGTGGGGATACGTTTTTTCATACGTTGATTTTATTG
-TTCCATCATCGGTAACGTTGCGCGTGACAAACGGTCAGAGACTAACGTACTCGTCATCTCTACGCTAGTG
-TTAATCCTGTCCGAATAGCGTCAGTGGTGTTAGGCACGGCATTGAATGACAGGTATGATAATGCAAATTA
-TAGGCGATGTCCCACAATTGACCGCAGCCGGAAAACGGTAAAAGCACCTTTATATTGTGGGAGATAGCCC
-TGATATCCGTGTGTCGATTTGGGGAATATATGCAGTATTGGGGAAAAATCATTGGCGTGGCCGTGGCCTT
-ACTGATGGGCGGCGGCTTTTGGGGCGTAGTGTTAGGCCTGTTAATTGGCCATATGTTTGATAAAGCCCGT
-AGCCGTAAAATGGCGTGGTTCGCCAACCAGCGTGAGCGTCAGGCGCTGTTTTTTGCCACCACTTTTGAAG
-TGATGGGGCATTTAACCAAATCCAAAGGTCGCGTCACGGAGGCTGATATTCATATCGCCAGCCAGTTGAT
-GGACCGAATGAATCTTCATGGCGCTTCCCGTACTGCGGCGCAAAATGCGTTCCGGGTGGGAAAATCAGAC
-AATTACCCGCTGCGCGAAAAGATGCGCCAGTTTCGCAGTGTCTGCTTTGGTCGTTTTGACTTAATTCGTA
-TGTTTCTGGAGATCCAGATTCAGGCGGCGTTTGCTGATGGTTCACTGCACCCGAATGAACGGGCGGTGCT
-GTATGTCATTGCAGAAGAATTAGGGATCTCCCGCGCTCAGTTTGACCAGTTTTTGCGCATGATGCAGGGC
-GGTGCACAGTTTGGCGGCGGTTATCAGCAGCAAACTGGCGGTGGTAACTGGCTGCAAGCGCAGCGTGGCC
-CAACGCTGGAAGATGCCTGTAATGTGCTGGGCGTGAAGCCGACGGATGATGCGACCACCATCAAACGTGC
-CTACCGTAAGCTGATGAGTGAACACCATCCCGATAAGCTGGTGGCGAAAGGTTTGCCGCCTGAGATGATG
-GAGATGGCGAAGCAGAAAGCGCAGGAAATTCAGCAGGCATATGAGCTGATAAAGCAGCAGAAAGGGTTTA
-AATAAGTTTTAAACTGTAGGCCTGATAAGACGCGGCCCGCGTCGCATCAGGCAATCGGCGCACAATTGCC
-GGATGCGGCGTGAACGCCTTATCCGCCTACCGAACTGCGCCAGCGTGACGATTAAAAATCCGCTGGCGCT
-TTAAACGTCATACTATTGCCATACGCCGGATGGGTAATCGTCAACATCTCTGCATGTAGCAACAAACGCG
-GTGCCATCGCTCTCGCTTCTGGTGATGCATAAAAACGATCGCCGAGAATCGGATGACCCAGCGCCAGCAT
-ATGCACACGCAATTGATGCGAACGCCCGGTAATCGGTTTTAACACCACTCTTGCCGTGTTATCCGCCGCA
-TACTCCACCACTTCATATTCCGTCTGCGCAGGTTTACCCGTTTCGTAACAGACTTTCTGTTTCGGGCGGT
-TTGGCCAGTCGCAAATCAGCGGCAGATCCACCAGACCTTCTGCGGGGGATGGATGCCCCCAGACGCGGGC
-CACATACTGCTTTTTCGGCTCGCGCTCGCGGAACTGGCGTTTTAACTCCCGCTCCGCGGCTTTGGTCAGC
-GCCACTACAATCACGCCGCTGGTAGCCATATCCAGACGATGCACCGATTCTGCCTGCGGATAATCACGCT
-GAATGCGCGTCATCACGCTGTCTTTGTGCTCTTCCAGACGACCCGGCACTGACAACAAACCGCTCGGCTT
-GTTGACCACCATAATATGGTCATCCTGATACAGGATAACCAACCAGGGTTCCTGCGGTGGATTGTAGTTT
-TCCATCCCCATTTTCGGCTCCGTTACTGATGCGTTACAACGATCAAACGCAGGGCATCCAGACGCCAACC
-TGCCTGATCCAGGCTTTCCATTACCTGCTGACGGTTGCTCTCAATGGCGGTCAGTTCGTCGTCACGAATG
-TTCGGGTTCACTGCACGCAGAGCTTCCAGACGAGACAGCTCGGCAGACAGTTTTTCGTCGGCTTCGTTAC
-GCGCTGCATCAATCAATGCACGGGCAGATTTCTCGATCTGCGCTTCACCCAGTTGAAGGATAGCGTGAAC
-ATCCTGCTGCACGGCGTTAACCAGTTTGCTGCCGGTGTGACGGTTAACCGCGTTAAGCTGGCGGTTAAAG
-GTTTCAAACTCTACCTGCGCCGCCAGGTTGTTGCCGTTTTTATCCAGCAGCATACGTACCGGCGTCGGTG
-GCAGGAAGCGGTTGAGCTGCAACTGCTTCGGAGCCTGGGCTTCAACCACATAAATCAGTTCCACCAACAG
-CGTACCTACCGGCAACGCTTTGTTTTTTAACAGTGAAATCGTGCTGCTACCGGTATCGCCAGAAAGGATC
-AGATCCAGACCGTTGCGGATCAGCGGATGCTCCCAGGTAATAAACTGTGCATCTTCACGCGCCAGCGCCA
-CTTCACGATCAAAGGTGATGGTGATGCCATCTTCCGACAGACCAGGGAAGTCCGGCACCAGCATATGATC
-GGACGGCGTCAGCACGATCATGTTGTCGCCGCGATCGTCCTGATTGATACCGATAATATCGAACAGGTTC
-ATGGCGAAGGCGATCAGGTTGGTATCGTCATCCTGCTCTTCAATGCTTTCTGCCAGTGCCTGGGCTTTTT
-CGCCACCGTTGGAGTGGATTTCCAGCAGGCGGTCACGACCCTGTTCCAGCTGTGCTTTCAGCGCTTCATG
-TTGCTCGCGGCAGTTTTTGATCAGATCGTCAAAGCCTTCGGTTTGATCCGGTGAAGCCAGATAGTTAATC
-AGATCGTTGTATACGCTATCGTAAATAGTGCGTCCGGTCGGGCAGGTGTGCTCAAATGCATCCAGACCTT
-CGTGATACCAGCGCACCAGCACCGACTGAGCGGTTTTCTCCAGATAAGGCACATGGATCTGAATATCGTG
-CGCCTGGCCGATACGATCCAGACGACCAATACGCTGCTCCAGTAGATCCGGGTTGAATGGCAGGTCAAAC
-ATCACCATGTGGCTGGCGAACTGGAAGTTACGTCCTTCAGAACCGATTTCTGAGCACAGCAGTACCTGTG
-CGCCGGTGTCTTCTTCGGCAAACCAGGCGGCAGCGCGGTCACGTTCGATAATCGACATACCTTCGTGGAA
-CACCGCAGCGCGAATACCTTCACGTTCGCGCAGTACCTGCTCCAGTTGCAGCGCAGTGGCAGCTTTGGCG
-CAGATCACCAGCACTTTCTGAGAGCGATGGCTGGTCAGGTAGCCCATCAGCCACTCAACGCGCGGATCGA
-AGTTCCACCAGGTGGCGTTATCACCTTCAAATTCCTGATAAATACGCTCCGGGTAGAGCATATCGCGAGC
-ACGATCTTCCGCACTTTTACGTGCGCCCATAATGCCGGAGACTTTAATAGCCGTCTGATACTGCGTCGGT
-AGCGGCAGCTTAATGGTGTGCAGCTCGCGTTTCGGGAATCCTTTCACACCGTTACGCGTGTTACGGAACA
-GCACGCGGCTGGTGCCGTGGCGATCCATCAGCATCGAAACCAGCTCCTGACGGGCGCTCTGGGCATCTTC
-GCTGTCGCTGTTTGCTGCCTGCAACAGCGGCTCGATATCCTGCTCGCCGATCATCTCGCCGAGCATGTTC
-AGTTCGTCATTGCTCAGTTTGTTACCTGCCAGCAGCATGGCAACGGCGTCCGCAACCGGACGATAATTTT
-TCTGCTCTTCAACGAACTGCGCAAAATCGTGGAAACGGTTCGGGTCCAGCAGACGCAGACGGGCGAAGTG
-GCTTTCCATCCCCAGCTGTTCCGGGGTCGCGGTCAGCAGCAGAACGCCCGGCACGTGCTCTGCCAGTTGT
-TCAATGGCCTGATATTCACGGCTTGGCGCATCTTCGCTCCACACCAGGTGATGCGCTTCATCGACCACCA
-GCAGGTCCCATTCGGCTTCACAGAGATGTTCCAGGCGCTGTTTGCTACGACGGGCAAAATCCAGCGAGCA
-AATCACCAGCTGTTCGGTGTCAAACGGGTTGTAAGCATCGTGCTGAGCTTCGGCATAACGCTCATCATCA
-AATAGCGCAAAGCGCAGGTTGAAACGGCGCAGCATTTCTACCAGCCACTGATGCTGTAAGGTTTCCGGGA
-CGATAATTAGCACACGTTCAGCAGCGCCAGAGAGCAGTTGCTGATGCAGGATCATCCCGGCTTCAATGGT
-TTTCCCTAAACCCACTTCGTCAGCCAGCAGGACGCGCGGCGCGTGGCGGCGACCAACATCATGAGCGATG
-TTGAGCTGATGCGGGATCAGGCTGGTACGCTGACCGCGCAGGCCGCTGTACGGCATACGGAACTGTTCGC
-TGGAATATTTACGCGCGCGATAACGCAGCGCAAAGCGGTCCATACGGTCAATCTGCCCGGCAAACAGACG
-GTCCTGCGGTTTGCTGAACACCAGTTTGCTATCAAGGAAAACTTCACGCAGGGCTACGCCGGACTCTTCA
-GTATCCAGGCGAGTACCGATATAGGTCAGCAAGCCATTTTCTTCTTTTACTTCTTCGACTTGCATCTGCC
-AGCCGTCATGGCTGGTAATGGTATCACCAGGGTTGAACATCACGCGGGTCACGGGGGAATCACTGCGTGC
-GTACAGACGGTTTTCACCAGTAGATGGGAAAAGTAAAGTGACAGTTCGCGCATCCACCGCGACAACGGTT
-CCAAGTCCCAATTCGCTTTCTGTATCGCTGATCCAGCGTTGACCAAGTGTAAAAGGCATATGTGTTCGGC
-TCTATATCTTTAATTGCAGGCAATAACCACCCGCTACCGTGCTTATGAGGTAGTGGTGTTATTCAGGTCC
-AGGAATGGAAAGGGCGCTATGGTACTGGATGGCAAAGCATTCGTCACGCATCAAAATGGTATCTGGCGAA
-CTCTTTTTTTTGCTCAAAATAGCCCAAGTTGCCCGGTCATAAGTGTAGCAAAATTATCCTCAATAAAAGG
-GAGTATTCCCTCCGCCACGGGTTGTAGCTGGCGGGTCAGATAGTGTTCGTAATCCAGTGGTGAACGTTGG
-TAGTCCAGCGGCTCCGGGCCGTTGGTGGTCCATACGTACTTAATGGTGCCGCGATTCTGATATTGCAAGG
-GGCGACCACGCTTTTGGTTTTCTTCATCGGCAAGGCGAGCGGCGCGTACATGAGGCGGCACATTACGCTG
-ATACTCGCTCAGCGGACGGCGAAGGCGTTTACGGTAAACCAGTCGCGCATCCAGTTCACCCGCCATCAGT
-TTGTCGATGGTTTCGCGTACATATTCCTGATATGGCTCGTTGCGGAAGATGCGCAGGTATAGCTCCTGCT
-GAAACTGCTGGGCCAGCGGCGTCCAGTCGGTGCGCACGGTTTCCAGCCCTTTAAACACCATCCGCTGCTT
-GTCGCCCTCCTGAATCAGTCCGGCATAACGCTTTTTACTGCCGGTATCGGCTCCGCGAATGGTTGGCATC
-AGAAAACGGCAGAAATGGGTTTCATACTCCAGTTCTAATGCGCTGGTCAGCCGTTGTTTTTGCAGCGTTT
-CCGCCCACCAGGCGTTAACGTGCTGCACCAGTGCACGACCGATTTTCGCCGCTTCTTCTTCCGAATGTGC
-GCCTTTCAGCCAGACAAACGTTGAGTCGGTATCGCCGTAGATAACGTCGTAGCCCTGTGCTTCAATCAAC
-GCTTTGGTTTGCCGCATGATCTGATGACCACGCATGGTGATCGACGATGCCAGCCGCGGATCGAAGAAGC
-GGCAGGCGGTGGTGCCGAGCACGCCATAAAAGGCATTCATGATGATTTTCAGCGCCTGCGACAGCGGTTT
-GTTACCCTGGCGTTTGGCTTCATCGCGCCCGTGCCAGATGTTAGTCACAATCTCCGGCAGGCAATGTTTT
-TCTCGCGAGAACCAGGCATCGAGAAAACCTTCGGTACTGTGCTCTGGATCAGGCTGCGCCATGCCTTCCA
-CCAGCCCGACGGGATCAATCAGAAAGGTGCGGATGATCGACGGGTACAGGCTTTTATAGTCCAGCACCAG
-TACCGAATCATAAAGCCCTGGCCGTGAATCCATCACGTAGCCGCCAGGGCTGGCGTGTGGCGGCACTTCG
-CCGAGATTAGGCGCGACATAACCAGCGCGGTGCATACGAGGAAAATAGAGATGACCAAACGCCGCCACCG
-ATCCCCCGTGGCGGTCTACCGGCAGGCCGTTCACCGTCGCTCGTTCGAGTAAAAATGGCATGATTTCAGT
-TTTATGGAAAATCTGCGTCACCAGCTCGCAATCTTTCAGGTTATAAGTCGCCAGCGCAGGTTTATCTTCG
-GCGAAACGGCGGTCAATTTCGTCCATTCGATCCCACGGGTTATCGATAGATTTTCCTTCGCCTAATAACT
-CCTGAGCGACGGTTTCCAGCGAGAATGAAGAGAAATTCCAGAACGCGGATTTCAGCGCCTCGATACCGTC
-GATAATTAGCCGACCTTTAGCCTGGGCAAAAAAGACGCCGTTTTTAAAGCCGTGCTCGCGCCACTCCAGC
-TCACTGTTATCGCGCCCCAGCCGCAGCGGAATACGGTAACGCTCGGCATGTTTTTGCAGCATTCGCAGAT
-CGAACTGCACCACGTTCCAACCGATGATCACATCAGGATCGTAGTTGGCAAACCAGGCGTTGAGTTTTTC
-CAGTAGCTGCGGGCGGCTGGCGACGTATTCCAGTTCAAAATCGAGCGCGGAGGCGTCGCCATTCTCTGGC
-CCCAGCATATAAACGATGCGCTGCCCGCAGCCTTCCAGGCCGATGCAGTACAGCTCACCGTGGCGGGTGG
-TTTCAATATCAATAGAAACCCACTTGAGCGGCGGACGATAGTCGGGATGCGGTTTCAGACGGGCATTAAC
-GATAGCGCCATTGTGCATATCACCCTCGACCCACACCGGTGAGGTGATAAACCGCTCCATCAGATAGCGT
-TCTGGCGGGCGCACATCGGCCTCGTAGACGGTAACGCCACCTTCACGCAGGCGCTTTTCGTAATTCATCA
-ATTGGCGATGGGCGCGACAGTAAAGGCCATACACCGGCTGGCGGTGAAAATCCTTTAACGCCAGCGGTGT
-CAGGCGAACGCCTTGTTCACCCTGCAAAATATGCTGAGCGCGGGGAACCTGATCGGCGGGAATAAACGCC
-ACGGACTCTTGCGGTGCAAGCGTAACCTGCAACGGCCCGTTGTCCGTCGCCAGCCAGAAGGAGACTTCTG
-TCCCTTGCGGGGTGTCCCGCCAGTGTCGGGTTAAGATAAAACCTGCCTGCGCCACGCTGTAATTCCATCA
-AAAAACCAGGCTTGATTATAGCCTGGTTTCGTTTGATTGGCTGTGGTTTTATACAGTCATTACTGCCCGT
-AATATGCCTTCGCGCCATGCTTACGCAGATAGTGTTTATTCAGCAGCGTTTGCTGCATATCCGGTAACTG
-CGGCGCTAACTGACGGCAGAATATCCCCATATAAGCGACCTCTTCCAGCACGATGGCGTTATGCACCGCA
-TCTTCGGCATTTTTGCCCCATGCAAATGGGCCGTGAGAATGGACCAGGACGCCGGGCATTTGCGCTGCAT
-CGATACCCTGTTTTTCGAAGGTTTCTACGATGACGTTACCGGTTTCCCACTCATATTCACCGTTGATTTC
-TGCGTCGGTCATTTTGCGGGTGCAGGGAATGGTGCCGTAGAAATAGTCGGCGTGGGTGGTGCCGGTTGCT
-GGAATCGACTGGCCCGCCTGCGCCCAGATAGTGGCGTGGCGCGAGTGTGTGTGCACAATGCCGCCAATGG
-ACGGGAATGCCTGATAGAGCAGTCGGTGAGTTGGCGTATCGGAGGAGGGCTTTTTCGCACCTTCAACCAC
-TTCACCGGTTTCGATGCTAACCACGACCATATCGTCAGCGGTCATGATGCTGTAATCGACGCCGGAAGGT
-TTGATCACAAAGACGCCGCGCTCGCGATCAACGGCGCTGACGTTGCCCCATGTGAGCGTGACCAGGTTAT
-GTTTTGGCAGCGCCAGGTTGGCCTCTAATACCTGGCGTTTGAGATCTTCTAACATGTTGACTCCTTCGTG
-CCGGATGCGCTTTGCTTATCCGGCCTACAAAATCGCAGCGTGTAGGCCTGATAAGACGCGCCAGCGTCGC
-ATCAGGCGTTGAATGCCGGATGCGCTTTGCTTATCCGGCCTACAAAATCGGAACGCGTAGGCCTGATAAG
-ACGCGCCAGCGTCGCATCAGGCGTTGAATGCCGGATGCGCTTTGCTTATCCGGCCTACAAAATCGCAGCG
-TGTAGGCCTGATAAGACGCGTCAGCGTCGCATCAGGCGTTACACACCTGATGCGACTACTTAGCGACGAA
-ATCCGTAATACACTTCGTTCCAGCGCAGCGCGTCTTTAAACGCTGGCAGGCGGGTATCGTTATCAATCAC
-CGTGATTTCAATGTCGTGCATCTCGGCGAACTGGCGCATATCGTTGAGGTTCAGCGCATGGCTGAAGACG
-GTATGGTGCGCGCCACCAGCGAGGATCCACGCTTCGGAAGCAGTTGGCAGATCCGGTTGCGCTTTCCACA
-GCGCATTCGCCACCGGCAGTTTCGGCAGGGAGTGCGGTGTTTTCACCGTGTCGATACAGTTAACCAGCAG
-ACGGTAACGATCGCCGAGATCAATCAGGCTGGCGACAATCGCTGGACCGGTTTGGGTATTGAAGATCAGT
-CGGGCAGGATCGTCCTTACCACCAATACCGAGATGCTGAACGTCGAGGATCGGTTTCTCTTCTACGGCAA
-TCGACGGGCAGACTTCCAGCATATGGGAGCCGAGCACCAGGTCATTACCTTTCTCGAAGTGATAGGTGTA
-GTCCTCCATAAAGGAGGTGCCGCCCTGCAGACCGGTTGACATCACCTTCATGATGCGAAGCAGGGCGGCG
-GTTTTCCAGTCGCCTTCGCCCGCAAAGCCGTAACCCTGCTGCATCAGACGCTGTACGGCCAGACCTGGAA
-GCTGTTTCAGACCGTGCAAATCTTCAAAGGTGGTGGTGAACGCGTGGAAGCCACCTTGTTCCAGGAAACG
-CTTCATCCCCAGCTCAATACGCGCCGCTTCCAGCACGTTCTGTCGTTTTTCGCCGTGGATTTGTGTTGCA
-GGCGTCATGGTGTAGCAGCTTTCGTACTCATCGACCAGCGCGTTAACATCGCCGTCGCTGATGGAGTTCA
-CCACCTGCACCAGATCGCCAACCGCCCAGGTATTGACGGAGAAACCGAACTTGATCTGTGCGGCAACTTT
-ATCACCATCGGTGACCGCCACTTCACGCATGTTATCGCCAAAACGGCAGACTTTCAGATGACGGGTATCC
-TGTTTAGAAACCGCCTGACGCATCCAGGAGCCGATACGCTCATGGGCTTGTTTATCCTGCCAGTGACCGG
-TAACGACGGCATGTTGCTGACGCATACGCGCGCCAATGAAGCCGAACTCGCGACCGCCATGTGCAGTCTG
-GTTCAGGTTCATAAAGTCCATATCGATACTGTCCCACGGCAGCGCCGCGTTGAACTGGGTGTGGAATTGC
-AGCAACGGTTTGTTGAGCATGGTCAGGCCGTTGATCCACATTTTGGCCGGGGAGAAGGTGTGCAGCCACA
-CCACCAGACCAGCGCAACGATCGTCGTAATTCGCGTCGCGGCAAATAGCGGTGATTTCATCCGGCGTGGT
-GCCCAGCGGTTTCAACACCAGTTTGCAGGGCAGTTTCGCTTCCGTATTCAGCGCATTAACAACGTGCTCG
-GCATGTTGGGTGACCTGACGCAGGGTTTCCGGGCCATACAGATGCTGGCTGCCAATGACAAACCACACTT
-CATAATTATCAAAAATCGTCATTATCGTGTCCTTATAGAGTCGCAACGGCCTGGGCAGCCTGTGCCGGGG
-CGGAAGTTGGAAGATAGTGTTGTTCGGCGCTCATCGCCCATTGCTGATAGCGGCGATAAAGCTGTTCAAA
-GCGTTGTGCCTGTTCGCTGCGCGGTTGCAGGGTTTTCTCTACCGCACTGGCCATTTTTTGCTGGGCTGAT
-GGGATGTCTGCGTGCACTTTCGCGGCGACGGCAGCAAAAATCGCCGCACCGAGCGCACAGCACTGGTCAG
-AGGCAACAATTTGCAGCGGGCGATTCAGCACGTCGCAGCAGGCCTGCATAATGACCTGGTTTTTCCGCGC
-GATGCCGCCCAGCGCCATCACGTTATTGACGGCGATCCCCTGATCGGTAAAGCACTCCATGATTGCGCGT
-GCGCCAAAGGCGGTGGCAGCAATCAAACCGCCGAACAGCAGCGGAGCGTCGGTAGCGAGGTTAAGATCGG
-TAATCACCCCTTTCAGGCGTTGGTTAGCGTTTGGCGAGCGACGACCGTTAAACCAGTCGAGCACCACCGG
-CAGGTGATCCAGAGACGGATTTTTGGCCCATGCTTCGGTCAGCGCCGGAAGCAGTTGTTTCTGGCTGGCG
-TTGATTTGCGCTTTCAGTTCCGGATGCTGGGCGGCAAGCTGTTCCAGCGGCCAGCTGAGTACGCGACCGA
-ACCAGGCGTAGATATCACCAAACGCCGATTGGCCTGCTTCCAGACCGATAAATCCAGGCACCACGCTGCC
-ATCAACCTGACCGCAAATACCTTTAACTGCCCGCTCGCCAACGCTCTGTTTGTCGGCAATCAGAATGTCG
-CAGGTGGAAGTACCGATAACTTTTACCAGTGCGTTAGGCTGTGCGCCTGCGCCAACTGCGCCCATATGGC
-AGTCAAACGCGCCGCCGGAAATCACCACGCTTTCAGGCAGGCCGAGACGCTGCGCCCATTCCGGGCATAA
-GGTGCCCACCGGAATATCGGCAGTCCAGGTGTCAGTGAACAGCGGGGAAGGCAAATGGCGATTGAGGATC
-GGGTCCAGCTCATCAAAGAAACTGGCTGGCGGCAAGCCGCCCCAGCTTTCGTGCCACAGAGATTTATGCC
-CGGCGCTGCAACGTCCGCGACGAATATCCTGCGGGCGGGTGGTACCGGAAAGCAGAGCTGGCACCCAGTC
-GCACAGCTCAATCCACGATGCGGCAGATTGCGCCACGGCGCTGTCCTGGCGAGTCACATGCAGGATTTTT
-GCCCAGAACCATTCGCTGGAATAAATACCGCCAATATAGCGGGAGTAGTCAACATTGCCCGGCGCGTGGC
-ACAAACGGGTAATCTCTTCCGCTTCTTCAACCGCAGTGTGGTCTTTCCACAATACGAACATCGCGTTCGG
-GTTTTCGGCAAACTCCGGGCGCAGCGCCAGCACGTTACCGTCGGCATCAATCGGTGCGGGCGTCGAGCCG
-GTACTGTCAACGCCAATCCCGACCACAGCTGCGCGCTGTTCGACGCTAAGCTCTGCAAGCACGGTTTTCA
-GTGCCGCTTCCATTGACTCAATGTAGTCACGCGGATGATGACGGAACTGGTTATTCGGGGCATCACAAAA
-TTGCCCTTTTTGCCAACGGGGATACCACTCTACGCTGGTGGCGATCTCTTCACCGCTGGCGCAGTCCACC
-GCCAAAGCTCGCACAGAATCACTGCCAAAATCGAGGCCAATTGCAATCGCCATCGTTTCACTCCATCCAA
-AAAAACGGGTATGGAGAAACAGTAGAGAGTTGCGATAAAAAGCGTCAGGTAGGATCCGCTAATCTTATGG
-ATAAAAATGCTATGGCATAGCAAAGTGTGACGCCGTGCAAATAATCAATGTGGACTTTTCTGCCGTGATT
-ATAGACACTTTTGTTACGCGTTTTTGTCATGGCTTTGGTCCCGCTTTGTTACAGAATGCTTTTAATAAGC
-GGGGTTACCGGTTTGGTTAGCGAGAAGAGCCAGTAAAAGACGCAGTGACGGCAATGTCTGATGCAATATG
-GACAATTGGTTTCTTCTCTGAATGGCGGGAGTATGAAAAGTATGGCTGAAGCGCAAAATGATCCCCTGCT
-GCCGGGATACTCGTTTAATGCCCATCTGGTGGCGGGTTTAACGCCGATTGAGGCCAACGGTTATCTCGAT
-TTTTTTATCGACCGACCGCTGGGAATGAAAGGTTATATTCTCAATCTCACCATTCGCGGTCAGGGGGTGG
-TGAAAAATCAGGGACGAGAATTTGTTTGCCGACCGGGTGATATTTTGCTGTTCCCGCCAGGAGAGATTCA
-TCACTACGGTCGTCATCCGGAGGCTCGCGAATGGTATCACCAGTGGGTTTACTTTCGTCCGCGCGCCTAC
-TGGCATGAATGGCTTAACTGGCCGTCAATATTTGCCAATACGGGGTTCTTTCGCCCGGATGAAGCGCACC
-AGCCGCATTTCAGCGACCTGTTTGGGCAAATCATTAACGCCGGGCAAGGGGAAGGGCGCTATTCGGAGCT
-GCTGGCGATAAATCTGCTTGAGCAATTGTTACTGCGGCGCATGGAAGCGATTAACGAGTCGCTCCATCCA
-CCGATGGATAATCGGGTACGCGAGGCTTGTCAGTACATCAGCGATCACCTGGCAGACAGCAATTTTGATA
-TCGCCAGCGTCGCACAGCATGTTTGCTTGTCGCCGTCGCGTCTGTCACATCTTTTCCGCCAGCAGTTAGG
-GATTAGCGTCTTAAGCTGGCGCGAGGACCAACGTATCAGCCAGGCGAAGCTGCTTTTGAGCACCACCCGG
-ATGCCTATCGCCACCGTCGGTCGCAATGTTGGTTTTGACGATCAACTCTATTTCTCGCGGGTATTTAAAA
-AATGCACCGGGGCCAGCCCGAGCGAGTTCCGTGCCGGTTGTGAAGAAAAAGTGAATGATGTAGCCGTCAA
-GTTGTCATAATTGGTAACGAATCAGACAATTGACGGCTTGACGGAGTAGCATAGGGTTTGCAGAATCCCT
-GCTTCGTCCATTTGACAGGCACATTATGCAAGCATTGCTGGAACACTTTATTACCCAATCTACCGTGTAT
-TCATTGATGGCGGTGGTGTTGGTGGCCTTTCTGGAGTCGCTGGCGCTGGTCGGTTTGATTCTACCCGGTA
-CGGTGCTGATGGCGGGGCTGGGAGCGCTGATTGGCAGCGGCGAGTTAAGTTTCTGGCACGCCTGGCTGGC
-AGGGATTGTCGGTTGTCTGCTGGGCGACTGGATCTCCTTCTGGCTGGGCTGGCGTTTTAAAAAGCCGTTG
-CATCGCTGGTCATTTCTGAAGAAAAACAAAGCATTACTCGATAAAACTGAACATGCGTTGCATCAACACA
-GCATGTTCACCATTCTGGTCGGTCGCTTTGTTGGCCCGACGCGTCCGCTGGTGCCAATGGTGGCGGGAAT
-GCTGGATCTGCCGGTGGCAAAATTCATTACGCCGAATATTATCGGCTGCCTGCTGTGGCCACCGTTTTAC
-TTCCTGCCTGGGATTCTGGCGGGCGCGGCGATCGATATTCCAGCCGGAATGCAGAGCGGCGAGTTTAAAT
-GGTTGCTGCTGGCGACGGCGGTATTTGTGTGGGTTGGTGGCTGGCTGTGCTGGCGGTTATGGCGCAGCGG
-TAAAGCAACCGATCGTTTAAGTCATTATTTGTCGCGCGGCCGTTTGTTGTGGCTGACGCCGTTGATTTCT
-GCCATCGGCGTGGTGGCGCTGGTGGTGTTAATTCGCCACCCGTTGATGCCGGTGTATATCGATATTTTGC
-GTAAAGTGGTTGGGGTTTAGGGGATTGTCTTGTGCGGGTTGCCTGATGCGACGCTGACCGCGTCTTATCA
-GGCCTACAAAACGCACTGTCCGTAGGTCGGATAAGGTGTTCACGCCGCATCTGACAGTGCATACTAACCC
-GTAATCCCCAATAGTGCTGAAGCACTCGCCTTACCGCTCAACAACTCATTGGTCTTACCCTGCCAGGCGA
-TGCGCCCGTCGGCGACCACCACCGAGCGCGTGGCGATCCGCGCGGCATCTTCCACACTGTGTGACACCAT
-CAATAACGTCATTTTTTGCTGCTGGCAGCTCGTGCTCACCAGCGTCAGCATCTCCTGACGTAACGCCGGA
-TCGAGCGCAGAGAACGGTTCATCGAGCAATAAAATCGGCTGTTCGCGCACCAGACAACGCGCTAACGCCA
-CGCGCTGTCGCTGACCGCCGGAAAGCTCGCCAGGTAACCGCGCCATTAAATTATCAATCCCCATCTGGCG
-GGCGATAGCGTGCATTTTCTCCTGCTGTGCCGCGTTCAGTTTCAATCCCGGATTTAGCCCCAGCCCGATG
-TTCTGCGCGACCGTCAGGTGACTGAACAGGTTGTTTTCCTGAAACAGCATCGACACCGGACGGCGTGACG
-GCGGCGTCGTGGTGTGATCAACGCCGTCGATAGTCAGCGAACCGCTGGCTGGCGTCAGAAAACCGGCGAT
-CAAGTTCAGCAGGGTACTTTTACCTGCGCCGCTTGGCCCGAGGATCGCCACCTGCTCGCCGCGTTCTACC
-GTTAAGCTAAAACGCATCGGCAAATGTTGGTAAAGCCAGGTGATATCAGTCAGTTTTAACATCTCGCCCC
-GGTAGTTTTTCAATCACGGTAAACAGCAGAAAACAGAGTAGCAGCAGAATTAACGCGGTGACCGCGCCGT
-CCTGGCTGCGATAGGAGCCAATTTGCTGGTAGAGATAAAACGGCAGGGTGCGGAAATCATCGTTACCGAA
-CAACGCCACCACGCCAAAATCACCAATCGACAGCACGCAGGCAAAAGCCAGCGCCTGCGCCAGTGGACGT
-TTCAGGGCGCGCAGCTCGACCACTTTTAAGCGCGACCAGCCTTCAATGCCCAGCGACTGACACAACATAC
-TGTAGCGGGCGGTGATATCGCGCATCGGGTTTTCCAGTACTTTCAGCGCATAAGGGATCGCCATTAACGC
-ATTGGTGAAAATCACAATGCCGTCAGCAGATTGCGGCAGGCCAATGGTGTTGTTGAGCAGTAAAAAGAAG
-CCGGTAGCCAGCACAATCCCCGGCATGGCGAGGATCAACATGCCGCTCATCTCCAGCGCCTGACCCGCCA
-GCATTTTCTGCCGCGCCCGAAGTTCGCGACTGCTCCATAGCAGCATCATGGTCAGCACTACGCACAATAC
-ACCTGCCGCCAGCGCAATACGCAACGAGGTCCACAGCGCCTGCCACAGCACCGGTTGTGCCAGCACTTCC
-GGCAACTGGCGATTTAGCCCATCGACGATCACCGCCAGCAACGGTGGCAGCAACAGCAGCAGCGCCAGCA
-CAATTAACACCGTGTCGCAAATGCGGCTATGCAGACGATCGTCCGGGTCGCGCCAGCCTTGCAGCAGCGT
-GGTGCCTGGCGCAATGGCCTTACTCAATCGCTGACTCAGCAGCACCAACCCGAGGCAACACACCATCTGG
-ATCAGCGCCAGCATCGCCGCGCGGGCAGGATCGTAGTCGTAACTCAGCGCCTGATAGATTGCCAGCTCGA
-TAGTGGTTGCCTGCGGACCGCCGCCCAGCGATAGCACGGTGGCGAAGCTGGCGAAACAGAGCATAAAGAT
-AAGTGCAGCAACCGGCGGGATTTGTCGCCGTAACCACGGCCATTCGACGAAGCGGAAAAAATGCCAGCCG
-CGCATCCCAAGCTGGGCGGCAAGCTGACGTTGTTCGCCGGGAATGTTTTCCAGTGCCTGGAGTAATAAGC
-GGCTCGCCATCGGTAGATTAAAAAATACGTGCGCCAGCAAAATACCTTGCAGGCCGTAGGGCGAAAAGGT
-CCACTCCAGACCGAGCGATTGGCAGAGTGTTGCCAGCCAGCCCTGGCGACCATAGACGCTAAGAATGCCG
-AAAACAGCAACCAGCACCGGGAGGATTAAGGTCATTGCGCACAGACGCAACAGCGCCAGCCGACCCGGAA
-AGCGCCTGCGATAGAGCGCGCGGGCGAGGAATATCGCGGGTACGACAGAGAGCAGCGCCGAGAGAAACGC
-CTGCCAGAAGGAGAAGCGCACCACATGCCACAGATAGCTGTCCTGCCAGACTGCCACCCAGTCATCCTGC
-GGCGCGTTCCACCACAGGGCGAGAAACGCCGCCAGCGCAACCGCTACCACCAGCGTGGTGGCGCTTACAC
-CTGGAATTAACCAGCCGGGAATTAACGGCTGACGGCGCGTTGCCATTCGCTAATCCATGCCTGACGTTGT
-GCCGCCACTTCGGCTGGCGTGAACTCCAACGTGGTTGCGGGTTTGGTCAATTTTTCAAAACCGGCAGGCA
-GCGTGACGTTTGCCACCGGATACATCCAGTTGCCGGTTGGGATCGCATTCTGGAAAGCCGGAGAAACCAT
-AAACTGGAGGAATTTTTGCGCCAGCTCCGGCTGCTTGCTGGCAGCGGTGCGGGCGGCGACTTCCACTTGC
-AGATAGTGACCTTCGCTGAAGTTCGCGGCGGCGTAGTTATCTTTCTTCTCTTCGAGAATGTGATAAGCCG
-GAGAGGTGGTGTAACTCAGTACCAGATCGCTTTCACCTTTTAAAAACAGGCCGTAGGCTTCGCTCCAGCC
-TTTGGTGACCGTGACCGTTTTCTTCGCCAGTTTCTGCCAGGCTTGTGGGGCGTCATCGCCATAGACTTTT
-TGCATCCATAGCAACAGACCCAGCCCCGGTGTACTGGTGCGCGGATCCTGATAAATCACCCGCCAGTTTT
-GATCGCTCTCAACCAGTTCTTTCAGGCTTTGTGGCGGGTTTTTCAGTTTGTTCTTGTCATAAACGAAGGC
-GAAGTAGCCATAATCAAACGGTACGAAAGTGTCATTATTCCAGCCGCCGGGAACGTTAACGGCATCCGCT
-GCCACACCGCTTTTGGCAAACAGTCCGGTTTTACTGGCGGCGTCTAACAGGTTGTTATCCAGCCCCAGCA
-CCACATCGGCTTTACTGTTTTTGCCTTCCATCCGTAGACGGTTGAGAAGCGAAACGCCATCTTCCAGCGC
-CACCAGTTTCAGTTCGCAATTACAGTCGGCTTCAAAGGCTTTTTTAACCACCGGACCAGGCCCCCAGTCG
-GCGGCGAAGGAATCGTAGGTATAAACAGTCAGAACGGGTTTAGCGAAAACGGGCGCTGTGCACAGCAACA
-GCAGGGGCAGACATTTTTTTAACACTTTGCACCTCAAAAAAGAGTGGCAAAGGACTTGAGAAGGAGCCTC
-AAATCCCTTCGCCGGCGTTATCCGGATCAGGTTCGACGGGTATTTTCTCAGCGCACGCGTACGCGTGGCA
-CCCCGTTGAGAACGGCGTTAGTGTAGTGATTTTGTTATCAACCAGCAATCATGGATCCGGTGGCGCAAAC
-CACGCTGATTTAAAATCGAACCAGCCGAGGGTATTCATGCGTAGGCCGCGCATACTGCGTTGCCCCTGAA
-TGATCAGCCAGTGGTGGATAAGCGGCACCATTGCTTTGCTGGCGACCAGTTGCTGGCACCAGTTCGCCAG
-GTTCATTTCGCCATTGCGCCAGCGGGCGGCGTCGGCTTGCCAGTCGATCGGAATACAGTGTTGGAGCAGC
-GGCACCTCGCACAAGTGCGCGAACAGCGAAAAATCCAGCGGCAGCGTAAAGTTGGCGCTGTTAAGCCAGA
-TATCGCTCTCGATCTCTCCTTCATGCCACTGATCGTAGCTGATCTCTTTGATTTCCAGCGTGACCTGGTG
-ACTTGCCAGAATCTGCTGCATGATCCCGGCAATCACCCGATGCTCACTGTGATCCTGATAAAAGGTCAGG
-ATGAGGCTTTCCAGGCCAGCCGGTTTTTCGCTCTTTATGGTGCGGGCATGGTGCCAACGGGGGAGCAGTC
-CATAAGCCGGGAACCACAGTTGCTGGTACTGTTCCTCAGCGAAATAGACCAGATTAGTTGGAGAAAGCAC
-ATAGCTTACCCAGTCCCTGACTTGCTGATTCGCCCCGCGATGGGTGCGGCTGTCGAATAGTAAATAGTAG
-CAACCTTCCTCCAGGCGGCTTTCAATCTCTTTTTCCTCACCCTGTGGACCTTTTAGCATCAGACCTCCAG
-CTGGCTCGTCGGCAATTTCCGGCAGAACCCAGACGTTAACTTCGTCGATTAATGCCCGGTAACCGAAGAA
-GTCATCGAATGCCTGAATTTTCAGTTGATTGGTGCTGTTGCGGATCACCGCATACGGACCGGTGCCGATG
-GGATGGCTGGCAAAGTTACTGAGGGTTTCCCATTCGCGCGGCAGGATCATCGCCGGAACTTGCCCCAGCA
-ATAACGGTAACCAGCGGTCCGGTTGCGTGAGATGGATATCCAGCGTCCAGGGCGTCGGCGACACAATGTC
-AGCAATATGCGAATAGAGCGGCAGCGTATTGATTCGTTTTAAAGAGGCGATCACGTCGTCCATTTCCAGT
-TCACGACCATGATGAAAATGGACTCCTGGACGCAAAAAGAAACGCCAGTGAAGCGGTGATATTTGCTGCC
-AGTGGTGGGCGATGTCTGCTTCCAGTTCCCCATTTTCCTCATTTATGCGCGTTAGCGAACTGAAGATTTG
-CCGGGCAATATGGGTTTCGGAACGGCGCAATGCGCTGCCAGGTAGCAGATTACGCAACGGACGATAGTAG
-AGCACGCGCAGGATGTGCCGCCCCTGGCGGAAGCTGCGGCCCAGATGAGAAACCAGCATTTGCCGCACAG
-TCGCTTTGTCGCCAACCAACTGCACTAGTTGGTCGATACGATCCTGCTCCAGCAGGTCTTCCGCCCGCTG
-TTGCTGAAGCGCCAGCCCGGTATAGAGGAATGTCAGACGCGAGCGTTTACCACGCCCGACTTCCGCTTCC
-CACGTCAGCCAGCCGCGATCCTGCATGGTGTTGAGCAGGGTGCGCATATGACGACGCGAGCAGCTCAATA
-ACGCTGCCAGTTCGTTGAGCGTTGTGTCCTGCGATTTACCCTCGCAGCATTGCCACAGGCGGATGAACTG
-TTGTTGCAGACGAGCAGATGGCATAAAAGGGGAACTCCTGTGCAAAAGACAGCAATTTTATTTTCCCTAT
-ATTAAGTCAATAATTCCTAACGATGAAGCAAGGGGGTGCCCCATGCGTCAGTTTTATCAGCACTATTTTA
-CCGCGACAGCGAAGTTGTGCTGGTTGCGTTGGTTAAGCGTCCCACAACGATTAACCATGCTTGAAGGACT
-GATGCAGTGGGATGACCGCAATTCTGAAAGTTGACTTGCCTGCATCATGTGTGACTGAGTATTGGTGTAA
-AATCACCCGCCAGCAGATTATACCTGCTGGTTTTTTTTATTCTCGCCGCGCTAAAAAGGGAACGTATGAT
-CTGGATAATGACGATGGCTCGCCGTATGAACGGTGTTTACGCGGCATTTATGCTGGTCGCTTTTATGATG
-GGGGTGGCCGGGGCGCTACAGGCTCCTACATTGAGCTTATTTCTGAGTCGTGAGGTTGGCGCGCAACCTT
-TCTGGATCGGACTCTTTTATACGGTGAATGCTATTGCTGGGATCGGCGTAAGCCTCTGGTTGGCAAAACG
-TTCTGACAGTCAGGGCGATCGGCGAAAACTGATTATATTTTGCTGTTTGATGGCTATCGGCAATGCGCTA
-TTGTTTGCATTTAATCGTCATTATCTGACGCTTATCACCTGTGGTGTGCTTCTGGCATCTCTGGCCAATA
-CGGCAATGCCACAGTTATTTGCTCTGGCGCGGGAATATGCGGATAACTCGGCGCGAGAAGTGGTGATGTT
-TAGCTCGGTGATGCGTGCGCAGCTTTCTCTGGCATGGGTTATCGGTCCACCGTTGGCCTTTATGCTGGCG
-TTGAATTACGGCTTTACGGTGATGTTTTCGATTGCCGCCGGGATATTCACACTCAGTCTGGTATTGATTG
-CATTTATGCTTCCGTCTGTGGCGCGGGTAGAACTGCCGTCGGAAAATGCTTTATCAATGCAAGGTGGCTG
-GCAGGATAGTAACGTACGGATGTTATTTGTCGCCTCGACGTTAATGTGGACCTGCAACACCATGTACATT
-ATTGATATGCCGTTGTGGATCAGTAGCGAGTTAGGATTGCCAGACAAACTGGCGGGTTTCCTGATGGGGA
-CGGCAGCTGGTCTGGAAATACCAGCAATGATTCTGGCTGGCTACTATGTCAAACGTTATGGTAAGCGGCG
-AATGATGGTCATAGCAGTGGCGGCAGGAGTACTGTTTTACACCGGATTGATTTTATTTCATAGCCGTCTG
-GCGTTGATGACGCTGCAACTTTTTAACGCTGTATTTATCGGCATTGTTGCGGGTATTGGGATGCTATGGT
-TTCAGGATTTAATGCCTGGAAGAGCGGGGGCAGCTACCACCTTATTTACTAACAGTATTTCTACCGGGGT
-AATTCTGGCTGGCGTTATTCAGGGAGCAATTGCACAAAGTTGGGGGCACTTTGCTGTCTACTGGGTAATT
-GCGGTTATTTCTGTTATCGCATTATTTTTAACCGCAAAGGTTAAAGACGTTTGATGACGTGGACGATAGC
-GGAAAGCCCGGTCATTTGACCGGGCAAGGGGATTAATTCATAAACGCAGGTTGTTTTGCTTCATAAGCGG
-CAATGGCGTCGTCGTGCTGCAAGGTAAGCCCAATACTGTCCAGACCGTTCATCATGCAGTGGCGGCGGAA
-GGCATCGATGGTAAAGCGATAGGTTTTCTCTCCCGCTTTCACCTCTTGCGCTTCCAGATCCACGTCGAAA
-TGGATCCCCGGATTGGCTTTCACCAGCGCAAACAGTTCGTCCACTTCTGCATCGCTTAATTTCACCGGCA
-GCAGCTGGTTGTTAAAGCTATTGCCGTAGAAGATGTCAGCAAAACTCGGCGCAATCACCACTTTAAAACC
-GTAGTCGGTCAATGCCCAGGGCGCGTGCTCACGCGAAGAGCCACAGCCGAAGTTTTCTCGTGCCAGCAAA
-ATGGAAGCGCCCTGATACTGCGGGAAGTTCAGCACGAAGTCCGGGTTTGGCTGTTGGCCTTTTTCATCCA
-GAAAACGCCAGTCGTTAAACAGATGCGCGCCAAAACCCGTACGGGTCACTTTCTGCAAAAACTGTTTCGG
-GATGATTGCATCGGTATCGACATTGGCGGCATCCAGCGGAACCACCAGGCCTGTGTGTTTGATAAATTTC
-TCTGCCATGGTGTGCTCCTTATTTAATGTTGCGAATGTCGGCGAAATGTCCGGTCACAGCAGCAGCGGCA
-GCCATTGCCGGGCTGACCAGATGCGTGCGCCCGCCGCGCCCCTGGCGGCCTTCAAAGTTACGGTTGCTGG
-TGGAGGCACAACGTTCGCCCGGATTCAGACGGTCGTTGTTCATCGCCAGACACATTGAGCAGCCAGGCAA
-GCGCCATTCAAAACCGGCTTCAATAAAGATTTTATCCAGACCTTCCGCTTCCGCCTGGGCTTTTACCGGG
-CCAGAGCCGGGAACCACCAGTGCCTGCACGCCTGGCGCGACTTTTCGCCCTTTGGCGATCTCCGCTGCCG
-CGCGTAAATCTTCAATGCGCGAGTTGGTACAGGAACCGATAAACACTTTGTCGATAGCCACTTCGGTCAG
-CGGAATACCCGGTTTCAGCCCCATATAGGCCAGCGCTTTTTCTGCCGACGCGCGTTCAACCGGATCGGCA
-AACGAAGCCGGATCGGGAATATTGTCGTTCACGGAAATCACCTGGCCGGGATTGGTGCCCCAGGTGACCT
-GCGGTGAAATTTCTTCTGCTTGCAGAGTGACAACGGTATCGAAAGTTGCGCCTTCGTCGGTTTGCAGGGT
-TTTCCAGTAGGCAACGGCGTCGTCGAAATCTTTGCCTTTCGGCGCATGCAGACGGCCTTTGACATAGTTA
-AAGGTGGTTTCGTCCGGTGCAACCAGACCGGCTTTTGCGCCCATTTCGATTGCCATATTGCACAGGGTCA
-TACGACCTTCCATGCTTAAATCACGGATTGCTTCGCCGCAAAACTCCACCACATGCCCGGTGCCGCCTGC
-GCTACCGGTTTTACCGATAATTGCCAGCACGATATCTTTTGCGGTAATGCCCGGCGCGGCTTTGCCCTGG
-ACTTCAATTTTCATGGTTTTTGCGCGGCCCTGTTTCAGGGTTTGCGTTGCCAGTACGTGTTCAACTTCGG
-AAGTGCCGATACCAAAGGCCAGTGCGCCAAACGCGCCGTGGGTGGCGGTATGCGAGTCGCCGCAGACAAT
-GGTCATCCCCGGCAAGGTGACGCCCTGTTCCGGGCCCATTACGTGGACGATCCCCTGATACGGGTGATTC
-AGGTCATACAGTTCGACGCCAAATTCTTTGCAGTTTTTGATCAGTTCCTGCATCTGGATACGCGCCATTT
-CACCGCAGGCATTAATGTCTTTGGTCTGGGTAGAGACGTTGTGATCCATGGTAGCGAAGGTTTTGCCCGG
-CTGACGTACCGGGCGACCGTGGGCGCGCAGACCATCGAACGCCTGCGGTGAGGTCACTTCATGCACCAGG
-TGGCGGTCGATATATAACAGTGGGGTTTCGTTTTCGGCTTCGTACACAACGTGAGCGTCGAACAATTTTT
-CGTATAACGTCTTAGCCATGATTACACCCCTTCTGCTACATAGCGGGCAATGATATCGCCCATTTCATCG
-GTACTAACGGCGGCAGCGCCACGGGCTAAATCCCCGGTGCGAATGCCTTCTTCTAATGCGCGGTTAATGG
-CGCGTTCAATGGCGCAAGCCGCATCATCGGCATCCAGGCTGTAACGCAGCAGCAGTGCCAGCGAAAGGAT
-TTGTGCAATCGGGTTGGCGATGTTTTTGCCTGCGATATCTGGTGCCGAGCCGCCCGCCGGTTCATACAGT
-CCAAAACCTTGCTCGTTCAGGCTGGCGGAAGGCAACATCCCCATCGAGCCAGTGATCATTGCGCACTCGT
-CAGACAGAATGTCGCCAAACAGGTTGGAGCACAGCAGAACGTCAAACTGTGATGGATCTTTAATCAGCTG
-CATGGTGGCGTTGTCGATGTACATATGCGCCAGTTCGACATCCGGGTATTCCGTGGCGATCTCGTTAACG
-ATCTCCCGCCATAAAATAGAGGATTGCAGCACGTTGGCTTTATCGATCGACGTCACTTTGTGGCGACGCT
-TGCGAGCAGATTCAAACGCGATGCGGGCGATACGTTCGATCTCAAAACGGTGATACACCTCGGTATCAAA
-GGCTTTTTCATATTGTCCGCTACCTTCGCGGCCTTTTGGCTGACCGAAATAGATGCCGCCGGTCAGTTCG
-CGCACACACAGGATGTCGAAGCCGTTTGCGGCAATGTCTGCACGCAGCGGACAGAATGCTTCCAGCCCCT
-GATACAGTTTTGCCGGGCGCAGGTTGCTGAATAATTTGAAGTGCTTACGCAGAGGCAGCAGCGCGCCGCG
-TTCTGGTTGCTGGTCTGGTGGTAAATGTTCCCACTTCGGGCCGCCTACCGAGCCAAACAGCACGGCATCG
-GCTTGCTCACAACCTTCAACCGTCGCAGGCGGCAGTGGTTGCCCGTGGTTATCAATGGCTGCGCCGCCTA
-CATCGTAATGGCTGGTGGTGATGCGCATCGCAAAGCGGTTGCGCACGGCATCCAGCACTTTCAGCGCCTG
-GGTCATCACTTCCGGACCAATACCGTCCCCCGGCAATACGGCAATATGGTAATTCTTCGACATCACACGG
-TTTCCTTGTTGTTTTCGTTGTGTTGAGCTTTGCGTTGCAACTCTTTTTCGACTTCTGCGGCACGCCAGAT
-ATTGTTCAGAACGTGCACCATGGCTTTGGCAGATGACTCGACAATATCGGTAGCCAGGCCGACGCCGTGG
-AAGCGGCGACCGTTGTAGTTAGCGACGATATCCACCTGACCCAGCGCATCTTTACCGTGGCCTTTGGCGG
-TCAGGCTGTATTTCACCAGTTCGACGTTATATTCAGTGATGCGGTTAATTGCCTGATAGACGGCATCGAC
-CGGACCGTTACCGTTGGCGGCTTCTGCTTTGACTTCTTCGCCACAGGCCAGTTTGACGGCGGCGGTGGCG
-ATATCGTTAGAGCCAGACTGCACGCTGAAGTAATCCAGACGGAAATGCTCCGGCTCTTCTTGCTGCTTAC
-CGATGAAGGCCAGCGCCTCCAGATCGTAATCAAACACCTGACCTTTTTTGTCCGCCAGCTTCAGGAAAGC
-ATCGTACAAATTGTCTAAATTATATTCACTTTCTTTATACCCCATCTCATCCATGCGATGTTTCACCGCC
-GCACGCCCCGAACGAGAGGTCAGATTCAGCTGGATTTGGTTCAGACCAATAGATTCTGGTGTCATGATTT
-CGTAGTTTTCGCGGTTTTTCAGCACGCCATCCTGGTGGATACCGGAGGAGTGTGCGAATGCGCCGCTGCC
-AACAATGGCTTTGTTTGCCGGGATCGGCATATTACAAATCTGGCTAACTAACTGGCTGGTGCGCCATATC
-TCCTGGTGATTAATGGCGGTGTGGACGTTGAGAATATCCTTACGAACTTTGATCGCCATGATGACTTCTT
-CCAGGGAACAGTTTCCGGCACGCTCGCCGATCCCGTTCATTGCGCCTTCCACCTGGCGTGCACCGGCATG
-TACCGCCGCCAGTGAGTTGCCGACCGCCAGGCCTAAATCGTCGTGGGTATGTACGGAAATAATGGCTTTG
-TCGATGTTAGGTACGCGTTCATACAGGCCGCTGATGATTCCGGCGAACTCAAACGGCATGGTGTAGCCCA
-CGGTGTCCGGAATGTTGATGGTGGTGGCACCGGCATTAATCGCCGCTTCGACCACTCGCGCCAGATCGGC
-AATGGGTGTACGCCCGGCATCTTCGCAAGAAAATTCAACATCATCGGTGTAATTACGGGCGCGTTTCACC
-ATATAGATAGCGCGTTCGATCACTTCATCCAGCGTGCTGCGCAGCTTGGTGGCGATGTGCATTGGCGAAG
-TGGCAATAAAGGTATGAATACGGAAGGCTTCGGCGACTTTCAGGGATTCGGCCGCCACGTCGATATCTTT
-CTCCACGCAGCGAGCTAACGCGCATACGCGGCTGTTTTTAACCTGGCGAGCGATGGTTTGCACTGATTCA
-AAATCACCCGGCGAAGAAACGGGGAAACCGACTTCCATCACGTCAACACCCATACGCTCAAGGGCCAGCG
-CAATTTGCAGTTTTTCTTTCACACTCAAGCTTGCCTGTAACGCCTGTTCACCGTCGCGCAATGTGGTATC
-GAAAATAATGACTTGCTGGCTCATGGTTTGGGTCCTTGTCTCTTTTAGAGCGCCTCGCTTCGGGCATAAA
-AAAACCCGCGCAATGGCGCGGGTTTTTTGTTTGACTGCGTGCTGGCTTAATGCTGGATGCCGCTCACTCG
-TCTACCGCGCAAAGAAGATGCGTTTAGTAGTAGTAGACCGATAAAGCGAACGATGTGAGTCATTAAATCA
-GCTCCAGATGAATGCGATATGCTTTTAGAGTTACTGGATACAAAAACGGATGTCAACCCTGACGCAATAA
-AAACGTCCCGCCAGCGTGAGTTCTGCATCCGTAAAATTAGCTAATTGTGCTGCGGTGGTTAAAGTAAGCG
-ATATTAATTTCTGCTTAACTACCGACGCTTTTCATCGGTTGACATATTTCAGCATAAATTTTTGCATCTA
-ATCAACGAGGAAAAAGGGGACAAAATGCACGCGTTGCAAAACCTATCCTGATGATTTGTATTGAATTATA
-TGTTTTGCGATTTTTTTTGATATTGATTTGGTGAATATTATTGATCAATTAATGTTAAGAATTAATGCAT
-TAAATATATAAATTAATTATTAAATAAGCACATTTAATCCATTTTGTAGATGATTGAGTATTCGCGGTAG
-TTATGATTAGATTGTTTTCGCAACAAAAACATTATGGATTATTATGCTGTGGTAAATGACTCATTCCACG
-GCAATGGATTCTGTTTTTATCAGAACCCGTATCTTTATGTTTTCCTAATTTTACTCATTTTCCTTTTTCT
-TATTTTATATGCATGATAAATCATATTCTCGAGGATTATTTCTCTGCATTCCAATAAGGGAAAGGGAGTT
-AAGTGTGACAGTGGAGTTAAGTATGCCAGAGGTACAAACAGATCATCCAGAGACGGCGGAGTTAAGCAAG
-CCACAGCTACGCATGGTCGATCTCAACTTATTAACCGTTTTCGATGCCGTGATGCAGGAGCAAAACATTA
-CTCGTGCCGCTCATGTTCTGGGAATGTCGCAACCTGCGGTCAGTAACGCTGTTGCACGCCTGAAGGTGAT
-GTTTAATGACGAGCTTTTTGTTCGTTATGGCCGTGGTATTCAACCGACTGCTCGCGCATTTCAACTTTTT
-GGTTCAGTTCGTCAGGCATTGCAACTAGTACAAAATGAATTGCCTGGTTCAGGTTTTGAACCCGCGAGCA
-GTGAACGTGTATTTCATCTTTGTGTTTGCAGCCCGTTAGACAGCATTCTGACCTCGCAGATTTATAATCA
-CATTGAGCAGATTGCGCCAAATATACATGTTATGTTCAAGTCTTCATTAAATCAGAACACTGAACATCAG
-CTGCGTTATCAGGAAACGGAGTTTGTGATTAGTTATGAAGACTTCCATCGTCCTGAATTTACCAGCGTAC
-CATTATTTAAAGATGAAATGGTGCTGGTAGCCAGCAAAAATCATCCAACAATTAAGGGCCCGTTACTGAA
-ACATGATGTTTATAACGAACAACATGCGGCGGTTTCGCTCGATCGTTTCGCGTCATTTAGTCAACCTTGG
-TATGACACGGTAGATAAGCAAGCCAGTATCGCGTATCAGGGCATGGCAATGATGAGCGTACTTAGCGTGG
-TGTCGCAAACGCATTTGGTCGCTATTGCGCCGCGTTGGCTGGCTGAAGAGTTCGCTGAATCCTTAGAATT
-ACAGGTATTACCGCTGCCGTTAAAACAAAACAGCAGAACCTGTTATCTCTCCTGGCATGAAGCTGCCGGG
-CGCGATAAAGGCCATCAGTGGATGGAAGAGCAATTAGTCTCAATTTGCAAACGCTAACTGATTGCAGAAT
-AGGTCAGACATGAATGTCTGGTTTATTCTGCATTTTTTATTGAATGTAGAATTTTATTCTGAATGTGTGG
-GCTCTCTATTTTAGGATTAATTAAAAAAATAGAGAAATTGCTGTAAGTTGTGGGATTCAGCCGATTTATT
-ATCAATTTAATCCTCCGTAATGGAGGATTTTATCGTTTCTTTTCACCTTTCCTCCTGTTTATTCTTATTA
-CCCCGTGTTTATGTCTCTGGCTGCCAATTGCTTAAGCAAGATCGGACGGTTAATGTGTTTTACACATTTT
-TTCCGTCAAACAGTGAGGCAGGCCATGGAGATGTTGTCTGGAGCCGAGATGGTCGTCCGATCGCTTATCG
-ATCAGGGCGTTAAACAAGTATTCGGTTATCCCGGAGGCGCAGTCCTTGATATTTATGATGCATTGCATAC
-CGTGGGTGGTATTGATCATGTATTAGTTCGTCATGAGCAGGCGGCGGTGCATATGGCCGATGGCCTGGCG
-CGCGCGACCGGGGAAGTCGGCGTCGTGCTGGTAACGTCGGGTCCAGGGGCGACCAATGCGATTACTGGCA
-TCGCCACCGCTTATATGGATTCCATTCCATTAGTTGTCCTTTCCGGGCAGGTAGCGACCTCGTTGATAGG
-TTACGATGCCTTTCAGGAGTGCGACATGGTGGGGATTTCGCGACCGGTGGTTAAACACAGTTTTCTGGTT
-AAGCAAACGGAAGACATTCCGCAGGTGCTGAAAAAGGCTTTCTGGCTGGCGGCAAGTGGTCGCCCAGGAC
-CAGTAGTCGTTGATTTACCGAAAGATATTCTTAATCCGGCGAACAAATTACCCTATGTCTGGCCGGAGTC
-GGTCAGTATGCGTTCTTACAATCCCACTACTACCGGACATAAAGGGCAAATTAAGCGTGCTCTGCAAACG
-CTGGTGGCGGCAAAAAAACCGGTTGTCTACGTAGGTGGTGGGGCAATCACGGCGGGCTGCCATCAGCAGT
-TGAAAGAAATGGTGGAGGCGTTGAATCTGCCCGTTGTTTCCTCATTGATGGGGCTGGGGGCGTTTCCGGC
-AACGCATCGTCAGGCACTGGGCATGCTGGGAATGCACGGTACCTACGAAGCCAATATGACGATGCATAAC
-GCGGATGTGATTTTCGCCGTCGGGGTACGATTTGATGACCGAACGACGAACAATCTGGCAAAGTACTGCC
-CAAATGCCACTGTTCTGCATATCGATATTGATCCTACTTCCATTTCTAAAACCGTGACTGCGGATATCCC
-GATTGTGGGGGATGCTCGCCAGGTCCTCGAACAAATGCTTGAACTCTTGTCGCAAGAATCCGCCCATCAA
-CCGCTGGATGAGATCCGCGACTGGTGGCAGCAAATTGAACAGTGGCGCGCTCGTCAGTGCCTGAAATATG
-ACACTCACAGTGAAAAGATTAAACCGCAGGCGGTGATCGAGACTCTTTGGCGGTTGACGAAGGGAGACGC
-TTACGTGACGTCCGATGTCGGGCAGCACCAGATGTTTGCTGCACTTTATTATCCATTCGACAAACCGCGT
-CGCTGGATCAATTCCGGTGGCCTCGGCACGATGGGTTTTGGTTTACCTGCGGCACTGGGCGTCAAAATGG
-CGTTGCCAGAAGAAACCGTGGTTTGCGTCACTGGCGACGGCAGTATTCAGATGAACATCCAGGAACTGTC
-TACCGCGTTGCAATACGAGTTGCCCGTACTGGTGGTGAATCTCAATAACCGCTATCTGGGGATGGTGAAG
-CAGTGGCAGGACATGATCTATTCCGGCCGTCATTCACAATCTTATATGCAATCGCTACCCGATTTCGTCC
-GTCTGGCGGAAGCCTATGGGCATGTCGGGATCCAGATTTCTCATCCGCATGAGCTGGAAAGCAAACTTAG
-CGAGGCGCTGGAACAGGTGCGCAATAATCGCCTGGTGTTTGTTGATGTTACCGTCGATGGCAGCGAGCAC
-GTCTACCCGATGCAGATTCGCGGGGGCGGAATGGATGAAATGTGGTTAAGCAAAACGGAGAGAACCTGAT
-TATGCGCCGGATATTATCAGTCTTACTCGAAAATGAATCAGGCGCGTTATCCCGTGTGATTGGCCTTTTT
-TCCCAGCGTGGCTACAACATTGAAAGCCTGACCGTTGCGCCAACCGACGATCCGACATTATCGCGTATGA
-CCATCCAGACCGTGGGCGATGAAAAAGTACTTGAGCAGATCGAAAAGCAATTACACAAACTGGTCGATGT
-CTTGCGCGTGAGTGAGTTGGGGCAGGGCGCGCATGTTGAGCGGGAAATCATGCTGGTGAAAATTCAGGCC
-AGCGGTTACGGGCGTGACGAAGTGAAACGTAATACGGAAATATTCCGTGGGCAAATTATCGATGTCACAC
-CCTCGCTTTATACCGTTCAATTAGCAGGCACCAGCGGTAAGCTTGATGCATTTTTAGCATCGATTCGCGA
-TGTGGCGAAAATTGTGGAGGTTGCTCGCTCTGGTGTGGTCGGACTTTCGCGCGGCGATAAAATAATGCGT
-TGAGAATGATCTCAATGCGCAATTTACAGCCCAACATGTCACGTTGGGCTTTTTTTGCGAAATCAGTGGG
-AACCTGGAATAAAAGCAGTTGCCGCAGTTAATTTTCTGCGCTTAGATGTTAATGAATTTAACCCATACCA
-GTACAATGGCTATGGTTTTTACATTTTACGCAAGGGGCAATTGTGAAACTGGATGAAATCGCTCGGCTGG
-CGGGAGTGTCGCGGACCACTGCAAGCTATGTTATTAACGGCAAAGCGAAGCAATACCGTGTGAGCGACAA
-AACCGTTGAAAAAGTCATGGCTGTGGTGCGTGAGCACAATTACCACCCGAACGCCGTGGCAGCTGGGCTT
-CGTGCTGGACGCACACGTTCTATTGGTCTTGTGATCCCCGATCTGGAGAACACCAGCTATACCCGCATCG
-CTAACTATCTTGAACGCCAGGCGCGGCAACGGGGTTATCAACTGCTGATTGCCTGCTCAGAAGATCAGCC
-AGACAACGAAATGCGGTGCATTGAGCACCTTTTACAGCGTCAGGTTGATGCCATTATTGTTTCGACGTCG
-TTGCCTCCTGAGCATCCTTTTTATCAACGCTGGGCTAACGACCCGTTCCCGATTGTCGCGCTGGACCGCG
-CCCTCGATCGTGAACACTTCACCAGCGTGGTTGGTGCCGATCAGGATGATGCCGAAATGCTGGCGGAAGA
-GTTACGTAAGTTTCCCGCCGAGACGGTGCTTTATCTTGGTGCGCTACCGGAGCTTTCTGTCAGCTTCCTG
-CGTGAACAAGGTTTCCGTACTGCCTGGAAAGATGATCCGCGCGAAGTGCATTTCCTGTATGCCAACAGCT
-ATGAGCGGGAGGCGGCTGCCCAGTTATTCGAAAAATGGCTGGAAACGCATCCGATGCCGCAGGCGCTGTT
-CACAACGTCGTTTGCGTTGTTGCAAGGAGTGATGGATGTCACGCTGCGTCGCGACGGCAAACTGCCTTCT
-GACCTGGCAATTGCCACCTTTGGCGATAACGAACTGCTCGACTTCTTACAGTGTCCGGTGCTGGCAGTGG
-CTCAACGTCACCGCGATGTCGCAGAGCGTGTGCTGGAGATTGTCCTGGCAAGCCTGGACGAACCGCGTAA
-GCCAAAACCTGGTTTAACGCGCATTAAACGTAATCTCTATCGCCGCGGCGTGCTCAGCCGTAGCTAAGCC
-GCGAACAAAAATACGCGCCAGGTGAATTTCCCTCTGGCGCGTAGAGTACGGGAATGGACATCAATATCCT
-TAAAGTAAATAAGACTATTCCTGACTATTATTGATAAGTTCTTTTAAACCCGCCCGTTAATTAACTCACC
-AGCTGAAATTCACAATAATTAAGTGATATCGACAGCGCGTTTTTGCATTATTTTGTTACATGCAGAGATG
-AATTGCCGATTTAACAAGCACTTTTCTTTGCTTTTGCGCAAACCCGCTGGCATCAAGCGCCACACAGACG
-CAACAGGGACTGTTAACCGGGGAAGATATGTCCTAAAATGCCGCTCGCGTCGCAAACTGACACTTTATAT
-TTGCTGTGGAAAATAGTGAGTCATTTTAAAACGGTGATGACGATGAGGGATTTTTTCTTACAGCTATTCA
-TAACGTTAATTTGCTGCGCACGTTGGACGTAAAATAAACAACGCTGATATTAGCCGTAAACATCGGGTTT
-TTTACCTCGGTATGCCTTGTGACTGGCTTGACAAGCTTTTCCTCCGCTCCGTAAACTCCTTTCAGTGGGA
-AATTGTGGGGCAAAGTGGGAATAAGGGGTGAGGCTGGCATGTTCCGGGGAGCAACGTTAGTCAATCTCGA
-CAGCAAAGGGCGCTTATCAGTGCCTACCCGTTACCGGGAACAGCTGCTTGAGAACGCTGCCGGTCAAATG
-GTTTGCACCATTGACATTCATCACCCGTGCCTGCTGCTTTACCCCCTGCCTGAATGGGAAATTATCGAGC
-AAAAATTATCGCGTCTGTCGAGCATGAACCCGGTTGAGCGCCGTGTGCAGCGCCTACTGTTAGGTCATGC
-CAGCGAATGTCAGATGGATGGCGCAGGTCGATTGTTAATCGCGCCAGTACTGCGGCAACATGCCGGGCTG
-ACAAAAGAAGTGATGCTGGTTGGACAGTTCAACAAGTTTGAGCTGTGGGATGAAACAACCTGGCATCAAC
-AGGTCAAGGAAGATATCGACGCAGAGCAGTTGGCTACCGGAGACTTATCGGAGCGACTGCAGGACTTGTC
-TCTATAAAATGATGGAAAACTATAAACATACTACGGTGCTGCTGGATGAAGCCGTTAATGGCCTCAATAT
-CCGTCCTGATGGCATCTACATTGATGGGACTTTTGGTCGCGGTGGTCACTCACGTCTGATCCTCTCGCAG
-CTTGGCGAAGAGGGGCGTTTGCTGGCGATCGATCGCGACCCGCAGGCTATCGCCGTTGCGAAGACTATTG
-ATGATCCGCGCTTCTCCATCATCCACGGACCTTTCTCCGCGCTGGGCGAATACGTTGCCGAGCGCGATCT
-TATCGGCAAGATCGACGGCATTCTCCTCGATCTTGGCGTCTCTTCACCGCAACTTGATGATGCTGAGCGC
-GGCTTTTCCTTTATGCGCGATGGTCCGCTGGACATGCGTATGGACCCAACCCGTGGGCAGTCAGCCGCTG
-AATGGCTACAAACCGCAGAAGAAGCCGATATCGCCTGGGTATTGAAAACCTATGGTGAAGAGCGTTTTGC
-CAAACGCATTGCCCGCGCCATTGTCGAGCGTAACCGCGAACAGCCGATGACCCGCACCAAAGAACTGGCG
-GAAGTCGTGGCTGCTGCAACGCCGGTGAAAGATAAGTTTAAACATCCCGCGACCCGTACCTTCCAGGCGG
-TGCGCATTTGGGTAAACAGTGAACTGGAGGAGATAGAGCAGGCGCTAAAAAGCTCGCTCAACGTGCTGGC
-CCCGGGTGGGCGGCTTTCGATCATCAGCTTCCACTCGCTGGAAGACCGTATTGTGAAACGTTTTATGCGT
-GAAAACAGCCGCGGTCCGCAAGTTCCGGCAGGGTTACCGATGACTGAAGAGCAGCTCAAAAAACTGGGTG
-GCCGTCAGCTGCGAGCACTAGGCAAGTTAATGCCGGGCGAAGAAGAGGTGGCTGAGAACCCTCGTGCCCG
-TAGTTCAGTTCTGCGTATTGCAGAGAGGACGAATGCATGATCAGCAGAGTGACAGAAGCTCTAAGCAAAG
-TTAAAGGATCGATGGGAAGCCACGAGCGCCATGCATTGCCTGGTGTTATCGGTGACGATCTTTTGCGATT
-TGGGAAGCTGCCACTCTGCCTGTTCATTTGCATTATTTTGACGGCGGTGACTGTGGTAACCACGGCGCAC
-CATACCCGTTTACTGACCGCTCAGCGCGAACAACTGGTGCTGGAGCGAGATGCTTTAGACATTGAATGGC
-GCAACCTGATCCTTGAAGAGAATGCGCTCGGCGACCATAGCCGGGTGGAAAGGATCGCCACGGAAAAGCT
-GCAAATGCAGCATGTTGATCCGTCACAAGAAAATATCGTAGTGCAAAAATAAGGATAAACGCGACGCATG
-AAAGCAGCGGCGAAAACGCAGAAACCAAAACGTCAGGAAGAACATGCCAACTTTATCAGTTGGCGTTTTG
-CGTTGTTATGCGGCTGTATTCTCCTGGCGCTGGCTTTTCTGCTCGGACGCGTAGCGTGGTTACAAGTTAT
-CTCCCCGGATATGCTGGTGAAAGAGGGCGACATGCGTTCTCTTCGCGTTCAGCAAGTTTCCACCTCCCGC
-GGCATGATTACTGACCGTTCTGGTCGCCCGTTAGCGGTGAGCGTGCCGGTAAAAGCGATTTGGGCTGACC
-CGAAAGAAGTGCATGACGCTGGCGGTATCAGCGTCGGTGACCGCTGGAAGGCGCTGGCTAACGCGCTCAA
-TATTCCGCTGGATCAGCTTTCAGCCCGCATTAACGCCAACCCGAAAGGGCGCTTTATTTATCTGGCGCGT
-CAGGTGAACCCTGACATGGCGGACTACATCAAAAAACTGAAACTGCCGGGGATTCATCTGCGTGAAGAAT
-CTCGCCGTTATTATCCATCCGGCGAAGTGACTGCTCACCTCATTGGCTTTACTAACGTCGATAGTCAAGG
-GATTGAGGGCGTTGAGAAGAGTTTCGATAAATGGCTTACCGGGCAGCCGGGTGAGCGCATTGTGCGTAAA
-GACCGCTATGGTCGCGTAATTGAAGATATTTCTTCTACTGACAGCCAGGCTGCGCACAACCTGGCGCTGA
-GTATTGATGAACGCCTGCAGGCGCTGGTTTATCGCGAACTGAACAATGCGGTGGCCTTTAACAAGGCTGA
-ATCTGGTAGCGCCGTGCTGGTGGATGTCAACACCGGTGAAGTGCTGGCGATGGCTAACAGCCCGTCATAC
-AACCCTAACAATCTGAGCGGCACGCCGAAAGAGGCGATGCGTAACCGTACCATCACCGACGTGTTTGAAC
-CTGGCTCAACGGTTAAACCGATGGTGGTGATGACCGCGTTGCAACGTGGCGTGGTGCGGGAAAACTCGGT
-ACTCAATACCATTCCTTATCGAATTAACGGCCACGAAATCAAAGACGTGGCACGCTACAGCGAATTAACC
-CTGACCGGGGTATTACAGAAGTCGAGTAACGTCGGTGTTTCCAAGCTGGCGTTAGCGATGCCGTCCTCAG
-CGTTAGTAGATACTTACTCACGTTTTGGACTGGGAAAAGCGACCAATTTGGGGTTGGTCGGAGAACGCAG
-TGGCTTATATCCTCAAAAACAACGGTGGTCTGACATAGAGAGGGCCACCTTCTCTTTCGGCTACGGGCTA
-ATGGTAACACCGTTACAGTTAGCGCGAGTCTACGCAACTATCGGCAGCTACGGCATTTATCGCCCACTGT
-CGATTACCAAAGTTGACCCCCCGGTTCCCGGTGAACGTGTCTTCCCGGAATCCATTGTCCGCACCGTGGT
-GCATATGATGGAAAGCGTGGCGCTACCGGGCGGCGGCGGCGTGAAGGCGGCGATTAAAGGCTATCGTATC
-GCCATTAAAACCGGTACCGCGAAAAAGGTCGGGCCGGACGGTCGCTACATCAATAAATATATTGCTTATA
-CCGCAGGCGTTGCGCCTGCGAGTCAGCCGCGCTTCGCGCTGGTTGTTGTTATCAACGATCCGCAGGCGGG
-TAAATACTACGGCGGCGCCGTTTCCGCGCCGGTCTTTGGTGCCATCATGGGCGGCGTATTGCGTACCATG
-AACATCGAGCCGGATGCGCTGACAACGGGCGATAAAAATGAATTTGTGATTAATCAAGGCGAGGGGACAG
-GTGGCAGATCGTAATTTGCGCGACCTTCTTGCTCCGTGGGTGCCAGACGCACCTTCGCGAGCACTGCGAG
-AGATGACACTCGACAGCCGTGTGGCTGCGGCGGGCGATCTCTTTGTAGCTGTAGTAGGTCATCAGGCGGA
-CGGGCGTCGATATATCCCGCAGGCGATAGCGCAAGGTGTGGCTGCCATTATTGCAGAGGCGAAAGATGAG
-GCGACCGACGGTGAAATCCGTGAAATGCACGGCGTACCGGTCATCTATCTCAGCCAGCTCAATGAGCGTT
-TATCTGCACTGGCGGGCCGCTTTTACCATGAACCCTCTGACAATTTACGTCTCGTAGGCGTAACGGGCAC
-CAACGGCAAAACCACGACTACCCAGCTGCTGGCGCAGTGGAGCCAACTGCTTGGCGAAACCAGCGCGGTA
-ATGGGCACCGTTGGTAACGGCCTGCTGGGGAAAGTGATCCCGACAGAAAATACCACCGGTTCGGCAGTCG
-ATGTTCAGCATGAGCTTGCGGGGCTGGTGGATCAGGGCGCGACGTTTTGCGCAATGGAAGTTTCCTCCCA
-CGGGCTGGTACAGCACCGTGTGGCGGCATTGAAATTTGCGGCGTCGGTCTTTACGAACTTAAGCCGCGAT
-CACCTTGATTATCATGGTGATATGGAACACTACGAAGCCGCGAAATGGCTGCTTTATTCTGAGCATCATT
-GCGGTCAGGCGATTATTAACGCCGACGATGAAGTGGGCCGCCGCTGGCTGGCAAAACTGCCGGACGCGGT
-TGCGGTATCAATGGAAGATCATATCAATCCGAACTGTCACGGACGCTGGTTAAAAGCGAACGACGTGAAC
-TATCACGACAGCGGTGCGACGATTCGCTTTAGCTCAAGTTGGGGCGATGGCGAAATTGAGAGCCATCTGA
-TGGGCGCTTTTAACGTCAGCAACCTGCTGCTCGCGCTGGCGACACTGTTGGCACTCGGCTATCCATTGGC
-TGATCTGTTGAAAACCGCCGCGCGTCTGCAACCGGTTTGCGGACGTATGGAAGTGTTCACTGCGCCAGGC
-AAACCGACGGTGGTGGTGGATTACGCGCATACGCCGGATGCACTGGAAAAAGCCTTACAGGCGGCGCGTC
-TGCACTGTGCGGGCAAGCTGTGGTGTGTCTTTGGCTGTGGTGGCGATCGCGATAAAGGTAAGCGTCCACT
-GATGGGCGCAATTGCCGAAGAGTTTGCTGACGTGGCGGTGGTGACGGACGATAACCCGCGTACCGAAGAA
-CCGCGTGCCATCATCAACGATATTCTGGCGGGAATGTTAGATGCCGGACATGCCAAAGTGATGGAAGGCC
-GTGCTGAAGCGGTGACTTGCGCCGTTATGCAGGCTAAAGAGAATGATGTGGTACTGGTCGCGGGCAAAGG
-CCATGAAGATTACCAGATTGTTGGCAATCAGCGTCTGGACTACTCCGATCGCGTCACGGTGGCGCGTCTG
-CTGGGGGTGATTGCATGATTAGCGTAACCCTTAGCCAACTTACCGACATTCTCAACGGTGAACTGCAAGG
-TGCAGATATCACCCTTGATGCTGTAACCACTGATACCCGAAAACTGACGCCGGGCTGCCTGTTTGTTGCC
-CTGAAAGGCGAACGTTTTGATGCCCACGATTTTGCCGACCAGGCGAAAGCTGGCGGCGCAGGCGCACTAC
-TGGTTAGCCGTCCGCTGGACATCGACCTGCCGCAGTTAATCGTCAAGGATACGCGTCTGGCGTTTGGTGA
-ACTGGCTGCATGGGTTCGCCAGCAAGTTCCGGCGCGCGTGGTTGCTCTGACGGGGTCCTCCGGCAAAACC
-TCCGTTAAAGAGATGACGGCGGCGATTTTAAGCCAGTGCGGCAACACGCTTTATACGGCAGGCAATCTCA
-ACAACGACATCGGTGTACCGATGACGCTGTTGCGCTTAACGCCGGAATACGATTACGCAGTTATTGAACT
-TGGCGCGAACCATCAGGGCGAAATAGCCTGGACTGTGAGTCTGACTCGCCCGGAAGCTGCGCTGGTCAAC
-AACCTGGCAGCGGCGCATCTGGAAGGTTTTGGCTCGCTTGCGGGTGTCGCGAAAGCGAAAGGTGAAATCT
-TTAGCGGCCTGCCGGAAAACGGTATCGCCATTATGAACGCCGACAACAACGACTGGCTGAACTGGCAGAG
-CGTAATTGGCTCACGCAAAGTGTGGCGTTTCTCACCCAATGCCGCCAACAGCGATTTCACCGCCACCAAT
-ATCCATGTGACCTCGCACGGTACGGAATTTACCCTACAAACCCCAACCGGTAGCGTCGATGTTCTGCTGC
-CGTTGCCGGGGCGTCACAATATTGCGAATGCGCTGGCAGCCGCTGCGCTCTCCATGTCCGTGGGCGCAAC
-GCTTGATGCTATCAAAGCGGGGCTGGCAAATCTGAAAGCTGTTCCAGGCCGTCTGTTCCCCATCCAACTG
-GCAGAAAACCAGTTGCTGCTCGACGACTCCTACAACGCCAATGTCGGTTCAATGACTGCAGCAGTCCAGG
-TACTGGCTGAAATGCCGGGCTACCGCGTGCTGGTGGTGGGCGATATGGCGGAACTGGGCGCTGAAAGCGA
-AGCCTGCCATGTACAGGTGGGCGAGGCGGCAAAAGCTGCTGGTATTGACCGCGTGTTAAGCGTGGGTAAA
-CAAAGCCATGCTATCAGCACCGCCAGCGGCGTTGGCGAACATTTTGCTGATAAAACTGCGTTAATTACGC
-GTCTTAAATCACTGATTGCTGAGCAACAGGTAATTACGATTTTAGTTAAGGGTTCACGTAGTGCCGCCAT
-GGAAGAGGTAGTACGCGCTTTACAGGAGAATGGGACATGTTAGTTTGGCTGGCCGAACATTTGGTCAAAT
-ATTATTCCGGCTTTAACGTCTTTTCCTATCTGACGTTTCGCGCCATCGTCAGCCTGCTGACCGCGCTGTT
-CATCTCATTGTGGATGGGCCCGCGTATGATTGCTCATTTGCAAAAACTTTCCTTTGGTCAGGTGGTGCGT
-AACGACGGTCCTGAATCACACTTCAGCAAGCGCGGTACGCCGACCATGGGCGGGATTATGATCCTGACGG
-CGATTGTGATCTCCGTACTGCTGTGGGCTTACCCGTCCAATCCGTACGTCTGGTGCGTGTTGGTGGTGCT
-GGTAGGTTACGGTGTTATTGGCTTTGTTGATGATTATCGCAAAGTGGTGCGTAAAGACACCAAAGGGTTG
-ATCGCTCGTTGGAAGTATTTCTGGATGTCGGTCATTGCGCTGGGTGTCGCCTTCGCCCTGTACCTTGCCG
-GCAAAGACACGCCCGCAACGCAGCTGGTGGTCCCATTCTTTAAAGATGTGATGCCGCAGCTGGGGCTGTT
-CTACATTCTGCTGGCTTACTTCGTCATTGTGGGTACTGGCAACGCGGTAAACCTGACCGATGGTCTCGAC
-GGCCTGGCAATTATGCCGACCGTATTTGTCGCCGGTGGTTTTGCGCTGGTGGCGTGGGCGACCGGCAATA
-TGAACTTTGCCAGCTACTTGCATATACCGTATCTGCGACACGCCGGGGAACTGGTTATTGTCTGTACCGC
-GATAGTCGGGGCAGGACTGGGCTTCCTGTGGTTTAACACCTATCCGGCGCAGGTCTTTATGGGCGATGTA
-GGTTCGCTGGCGTTAGGTGGTGCGTTAGGCATTATCGCCGTACTGCTACGTCAGGAATTCCTGCTGGTGA
-TTATGGGGGGCGTGTTCGTGGTAGAAACGCTTTCTGTCATCCTGCAGGTCGGCTCCTTTAAACTGCGCGG
-ACAACGTATTTTCCGCATGGCACCGATTCATCACCACTATGAACTGAAAGGCTGGCCGGAACCGCGCGTC
-ATTGTGCGTTTCTGGATTATTTCGCTGATGCTGGTTCTGATTGGTCTGGCAACGCTGAAGGTACGTTAAT
-CATGGCTGATTATCAGGGTAAAAATGTCGTCATTATCGGCCTGGGCCTCACCGGGCTTTCCTGCGTGGAC
-TTTTTCCTCGCTCGCGGTGTGACGCCGCGCGTTATGGATACGCGTATGACACCGCCTGGCCTGGATAAAT
-TACCCGAAGCCGTAGAACGCCACACGGGCAGTCTGAATGATGAATGGCTGATGGCGGCAGATCTGATTGT
-CGCCAGTCCCGGTATTGCACTGGCGCATCCATCCTTAAGCGCTGCCGCTGATGCCGGAATCGAAATCGTT
-GGCGATATCGAGCTGTTCTGTCGCGAAGCACAAGCACCGATTGTGGCGATTACCGGTTCTAACGGCAAAA
-GCACGGTCACCACGCTAGTGGGTGAAATGGCGAAAGCGGCGGGGGTTAACGTTGGTGTGGGTGGCAATAT
-TGGCCTGCCTGCGTTGATGCTACTGGATGATGAGTGTGAACTGTACGTGCTGGAACTGTCGAGCTTCCAG
-CTGGAAACCACCTCCAGCTTACAGGCGGTAGCAGCGACCATTCTGAACGTGACTGAAGATCATATGGATC
-GCTATCCGTTTGGTTTACAACAGTATCGTGCAGCAAAACTGCGCATTTACGAAAACGCGAAAGTTTGCGT
-GGTTAATGCTGATGATGCCTTAACAATGCCGATTCGCGGTGCGGATGAACGCTGCGTCAGCTTTGGCGTC
-AACATGGGTGACTATCACCTGAATCATCAGCAGGGCGAAACCTGGCTGCGGGTTAAAGGCGAGAAAGTGC
-TGAATGTGAAAGAGATGAAACTTTCCGGGCAGCATAACTACACCAATGCGCTGGCGGCGCTGGCGCTGGC
-AGATGCTGCAGGGTTACCGCGTGCCAGCAGCCTGAAAGCGTTAACCACATTCACTGGTCTGCCGCATCGC
-TTTGAAGTTGTGCTGGAGCATAACGGCGTACGTTGGATTAACGATTCGAAAGCGACCAACGTCGGCAGTA
-CGGAAGCGGCGCTGAATGGCCTGCACGTAGACGGCACACTGCATTTGTTGCTGGGTGGCGATGGTAAATC
-GGCGGACTTTAGCCCACTGGCGCGTTACCTGAATGGCGATAACGTACGTCTGTATTGTTTCGGTCGTGAC
-GGCGCGCAGCTGGCGGCGCTACGCCCGGAAGTGGCAGAACAAACCGAAACTATGGAACAGGCGATGCGCT
-TGCTGGCTCCGCGTGTTCAGCCGGGCGATATGGTTCTGCTCTCCCCAGCCTGTGCCAGCCTTGATCAGTT
-CAAGAACTTTGAACAACGAGGCAATGAGTTTGCCCGTCTGGCGAAGGAGTTAGGTTGATGCGTTTATCTC
-TCCCTCGCCTGAAAATGCCGCGCCTGCCAGGATTCAGTATCCTGGTCTGGATCTCCACGGCGCTAAAGGG
-CTGGGTGATGGGCTCGCGGGAAAAAGATACCGACAGCCTGATCATGTACGATCGCACCTTACTGTGGCTG
-ACCTTCGGCCTCGCGGCGATTGGCTTTATCATGGTGACCTCGGCGTCAATGCCCATAGGGCAACGCTTAA
-CCAACGATCCGTTCTTCTTCGCGAAGCGTGATGGTGTCTATCTGATTTTGGCGTTTATTCTGGCGATCAT
-TACGCTGCGTCTGCCGATGGAGTTCTGGCAACGCTACAGTGCCACGATGCTGCTCGGATCTATCATCCTG
-CTGATGATCGTCCTGGTAGTGGGTAGCTCGGTTAAAGGGGCATCGCGTTGGATCGATCTCGGTTTGCTGC
-GTATCCAGCCTGCGGAGCTGACAAAACTGTCGCTGTTTTGCTATATCGCCAACTATCTGGTGCGTAAAGG
-CGACGAAGTACGTAATAACCTGCGCGGCTTCCTGAAACCGATGGGCGTGATTCTGGTGTTGGCAGTGTTA
-CTGCTGGCACAGCCAGACCTTGGTACGGTGGTGGTGTTGTTTGTGACTACGCTGGCGATGTTGTTCCTGG
-CGGGAGCGAAATTGTGGCAGTTCATTGCCATTATCGGTATGGGCATTTCAGCGGTTGTGTTGCTGATACT
-CGCCGAACCGTACCGTATCCGCCGTGTTACCGCATTCTGGAACCCGTGGGAAGATCCCTTTGGCAGCGGC
-TATCAGTTAACGCAATCGCTGATGGCGTTTGGTCGCGGCGAACTTTGGGGGCAAGGTTTAGGTAACTCGG
-TACAAAAACTGGAGTATCTGCCGGAAGCGCACACTGACTTTATTTTCGCCATTATCGGCGAAGAACTGGG
-GTATGTCGGTGTGGTGCTGGCACTTTTAATGGTATTCTTCGTCGCTTTTCGCGCGATGTCGATTGGCCGT
-AAAGCATTAGAAATTGACCACCGTTTTTCCGGTTTTCTCGCCTGTTCTATTGGCATCTGGTTTAGCTTCC
-AGGCGCTGGTTAACGTAGGCGCGGCGGCGGGGATGTTACCGACCAAAGGTCTGACATTGCCGCTGATCAG
-TTACGGTGGTTCGAGCTTACTGATTATGTCGACAGCCATCATGATGCTGTTGCGTATTGATTATGAAACG
-CGTCTGGAGAAAGCGCAGGCGTTTGTACGAGGTTCACGATGAGTGGTCAAGGAAAGCGATTAATGGTGAT
-GGCAGGCGGAACCGGTGGACATGTATTCCCGGGACTGGCGGTTGCGCACCATCTAATGGCTCAGGGTTGG
-CAAGTTCGCTGGCTGGGGACTGCCGACCGTATGGAAGCGGACTTAGTGCCAAAACATGGCATCGAAATTG
-ATTTCATTCGTATCTCTGGTCTGCGTGGAAAAGGTATAAAAGCACTGATAGCTGCCCCGCTGCGTATCTT
-CAACGCCTGGCGTCAGGCGCGGGCGATTATGAAAGCGTACAAACCTGACGTGGTGCTCGGTATGGGAGGC
-TACGTGTCAGGTCCAGGTGGTCTGGCCGCGTGGTCGTTAGGCATTCCGGTTGTACTTCATGAACAAAACG
-GTATTGCGGGCTTAACCAATAAATGGCTGGCGAAGATTGCCACCAAAGTGATGCAGGCGTTTCCAGGTGC
-TTTCCCTAATGCGGAAGTAGTGGGTAACCCGGTGCGTACCGATGTGTTGGCGCTGCCGTTGCCGCAGCAA
-CGTTTGGCTGGACGTGAAGGTCCGGTTCGTGTGCTGGTAGTGGGTGGTTCTCAGGGCGCACGCATTCTTA
-ACCAGACAATGCCGCAGGTTGCTGCGAAACTGGGTGATTCAGTCACTATCTGGCATCAGAGCGGCAAAGG
-TTCGCAACAATCCGTTGAACAGGCGTATGCCGAAGCGGGGCAACCGCAGCATAAAGTGACGGAATTTATT
-GATGATATGGCGGCGGCGTATGCGTGGGCGGATGTCGTCGTTTGCCGCTCCGGTGCGTTAACGGTGAGTG
-AAATCGCCGCGGCAGGACTACCGGCGTTGTTTGTGCCGTTTCAACATAAAGACCGCCAGCAATACTGGAA
-TGCGCTACCGCTGGAAAAAGCGGGCGCAGCCAAAATTATCGAGCAGCCACAGCTTAGCGTGGATGCTGTC
-GCCAACACCCTGGCCGGGTGGTCGCGAGAAACCTTATTAACCATGGCAGAACGCGCCCGCGCTGCATCCA
-TTCCGGATGCCACCGAGCGAGTGGCAAATGAAGTGAGCCGGGTTGCCCGGGCGTAATTGTAGCGATGCCT
-TTTGCATCGTATGAATTTAAGAAGTTAATGGCGTAAAGAATGAATACACAACAATTGGCAAAACTGCGTT
-CCATCGTGCCCGAAATGCGTCGCGTTCGGCACATACATTTTGTCGGCATTGGTGGTGCCGGTATGGGCGG
-TATTGCCGAAGTTCTGGCCAATGAAGGTTATCAGATCAGTGGTTCCGATTTAGCGCCAAATCCGGTCACG
-CAGCAGTTAATGAATCTGGGAGCGACGATTTATTTCAACCATCGCCCGGAAAACGTACGTGATGCCAGCG
-TGGTCGTTGTTTCCAGCGCGATTTCTGCCGATAACCCGGAAATTGTCGCAGCTCATGAAGCGCGTATTCC
-GGTGATCCGTCGTGCCGAAATGCTGGCTGAGTTAATGCGTTTTCGTCATGGCATCGCCATTGCAGGAACG
-CACGGCAAAACGACAACCACCGCGATGGTTTCCAGCATCTACGCAGAAGCGGGGCTCGACCCAACCTTCG
-TTAACGGCGGGCTGGTAAAAGCGGCGGGGGTTCATGCGCGTTTGGGGCATGGTCGGTACCTGATTGCCGA
-AGCAGATGAGAGTGATGCATCGTTCCTGCATCTGCAACCGATGGTGGCGATTGTCACCAATATCGAAGCC
-GACCACATGGATACCTACCAGGGCGACTTTGAGAATTTAAAACAGACTTTTATTAATTTTCTGCACAACC
-TGCCTTTTTACGGTCGTGCGGTGATGTGTGTTGATGATCCGGTGATCCGCGAATTGTTACCGCGAGTGGG
-ACGTCAGACCACGACTTACGGCTTCAGCGAAGATGCCGACGTGCGTGTAGAAGATTATCAGCAGATTGGC
-CCGCAGGGGCACTTTACGCTGCTGCGCCAGGACAAAGAGCCGATGCGCGTCACCCTGAATGCGCCAGGTC
-GTCATAACGCGCTGAACGCCGCAGCTGCGGTTGCGGTTGCTACGGAAGAGGGAATTGATGACGAGGCTAT
-TTTACGTGCGCTGGAGAGCTTCCAGGGGACTGGGCGCCGTTTTGATTTCCTCGGTGAATTCCCGCTGGAG
-CCAGTGAATGGTAAAAGCGGTACGGCGATGTTGGTCGATGACTACGGCCACCACCCGACGGAAGTGGACG
-CCACTATTAAAGCGGCGCGTGCAGGCTGGCCGGATAAAAACCTGGTAATGCTGTTTCAGCCGCACCGTTT
-TACCCGTACGCGCGACCTGTATGATGATTTCGCCAATGTGCTGACGCAGGTTGATACCCTGTTGATGCTG
-GAAGTGTATCCGGCTGGCGAAGCGCCAATTCCGGGAGCGGACAGCCGTTCGCTGTGTCGCACAATTCGTG
-GACGTGGGAAAATTGATCCCATTCTGGTGCCGGACCCTGCGCAGGTAGCCGAGATGCTGGCACCGGTATT
-AACCGGTAACGACCTGATTCTCGTTCAGGGGGCTGGTAATATCGGAAAAATTGCCCGTTCTTTAGCTGAA
-ATCAAACTGAAGCCGCAAACTCCGGAGGAAGAACAACATGACTGATAAAATCGCGGTCCTGTTGGGCGGG
-ACTTCCGCTGAGCGGGAAGTTTCTCTGAATTCTGGCGCAGCGGTGTTAGCCGGGCTGCGTGAAGGCGGTA
-TTGATGCGTATCCTGTCGACCCGAAAGAAGTCGACGTGACGCAACTGAAGTCGATGGGTTTTCAGAAAGT
-GTTTATCGCGCTACACGGTCGCGGCGGTGAAGATGGTACGCTGCAGGGCATGCTCGAGCTGATGGGCTTG
-CCTTATACCGGCAGCGGAGTGATGGCATCTGCGCTTTCAATGGATAAACTACGCAGCAAACTGCTGTGGC
-AAGGTGCCGGTTTACCGGTCGCGCCGTGGGTAGCGTTAACCCGCGCAGAGTTTGAAAAAGGCCTGAGCGA
-TAAGCAGTTAGCAGAAATTTCTGCTCTGGGTTTGCCGGTTATCGTTAAGCCGAGCCGCGAAGGTTCCAGT
-GTGGGAATGTCAAAAGTAGTAGCAGAAAATGCTCTACAAGATGCATTAAGATTGGCATTTCAGCACGATG
-AAGAAGTATTGATTGAAAAATGGCTAAGTGGGCCGGAGTTCACGGTTGCGATACTCGATGAAGAAATTTT
-ACCGTCAATACGTATTCAACCGTCCGGAACCTTCTATGATTATGAGGCGAAGTATCTCTCTGATGAGACA
-CAGTATTTCTGCCCCGCAGGTCTGGAAGCGTCACAAGAGGCCAATTTGCAGGCATTAGTGCTGAAAGCAT
-GGACGACGTTAGGTTGCAAAGGATGGGGACGTATTGACGTTATGCTGGACAGCGATGGACAGTTTTATCT
-GCTGGAAGCCAATACCTCACCGGGTATGACCAGCCACAGCCTGGTGCCGATGGCGGCACGTCAGGCAGGT
-ATGAGCTTCTCGCAGTTGGTAGTACGAATTCTGGAACTGGCGGACTAATATGTCGCAGGCTGCTCTGAAC
-ACGCGAAATAGCGAAGAAGAGGTTTCTTCTCGCCGCAATAATGGAACGCGTCTGGCGGGGATCCTTTTCC
-TGCTGACCGTTTTAACGACAGTGTTGGTGAGCGGCTGGGTCGTGTTGGGCTGGATGGAAGATGCGCAACG
-CCTGCCGCTCTCAAAGCTGGTGTTGACCGGTGAACGCCATTACACGCGTAATGACGATATCCGGCAGTCG
-ATCCTGGCATTGGGTGAGCCGGGTACCTTTATGACCCAGGATGTCAACATCATCCAGACGCAAATAGAAC
-AACGCCTGCCGTGGATTAAGCAGGTGAGCGTCAGAAAGCAGTGGCCTGATGAATTGAAGATTCATCTGGT
-TGAATATGTGCCGATTGCGCGGTGGAATGATCAACACATGGTAGACGCGGAAGGAAACACCTTCAGCGTG
-CCGCCAGATCGCACCAGCAAGCAGGTGCTTCCAATGCTGTATGGCCCGGAAGGCAGCGCTAATGAAGTGT
-TGCAGGGCTATCGCGAAATGGGGCAGATGCTGGCAAAGGACAGATTTACTCTGAAGGAAGCGGCGATGAC
-CGCGCGGCGTTCCTGGCAGTTGACGCTGAATAACGATATTAAGCTCAATCTTGGCCGGGGCGATACGATG
-AAACGTTTGGCTCGCTTTGTAGAACTTTATCCGGTTTTACAGCAGCAGGCGCAAACCGATGGCAAACGGA
-TTAGCTACGTTGATTTGCGTTATGACTCTGGAGCGGCAGTAGGCTGGGCGCCCTTGCCGCCAGAGGAATC
-TACTCAGCAACAAAATCAGGCACAGGCAGAACAACAATGATCAAGGCGACGGACAGAAAACTGGTAGTAG
-GACTGGAGATTGGTACCGCGAAGGTTGCCGCTTTAGTAGGGGAAGTTCTGCCCGACGGTATGGTCAATAT
-CATTGGCGTGGGCAGCTGCCCGTCGCGTGGTATGGATAAAGGCGGGGTGAACGACCTCGAATCCGTGGTC
-AAGTGCGTACAGCGCGCCATTGACCAGGCAGAATTGATGGCAGATTGTCAGATCTCTTCGGTATATCTGG
-CGCTTTCTGGTAAGCATATCAGCTGCCAGAATGAAATTGGTATGGTGCCTATTTCTGAAGAAGAAGTAAC
-GCAAGAAGATGTGGAAAACGTCGTCCATACCGCGAAATCGGTGCGTGTGCGCGATGAGCATCGTGTGCTG
-CATGTGATCCCGCAAGAGTATGCGATTGACTATCAGGAAGGGATCAAGAATCCGGTAGGACTTTCGGGCG
-TGCGGATGCAGGCAAAAGTGCACCTGATCACATGTCACAACGATATGGCGAAAAACATCGTCAAAGCGGT
-TGAACGTTGTGGGCTGAAAGTTGACCAACTGATATTTGCCGGACTGGCATCAAGTTATTCGGTATTGACG
-GAAGATGAACGTGAACTGGGTGTCTGCGTCGTCGATATCGGTGGTGGTACAATGGATATCGCCGTTTATA
-CCGGTGGGGCATTGCGCCACACTAAGGTAATTCCTTATGCTGGCAATGTCGTGACCAGTGATATCGCTTA
-CGCCTTTGGCACGCCGCCAAGCGACGCCGAAGCGATTAAAGTTCGCCACGGTTGTGCGCTGGGTTCCATC
-GTTGGAAAAGATGAGAGCGTGGAAGTGCCGAGCGTAGGTGGTCGTCCGCCACGGAGTCTGCAACGTCAGA
-CACTGGCAGAGGTGATCGAGCCGCGCTATACCGAGCTGCTCAACCTGGTCAACGAAGAGATATTGCAGTT
-GCAGGAAAAGCTTCGCCAACAAGGGGTTAAACATCACCTGGCGGCAGGCATTGTATTAACCGGTGGCGCA
-GCGCAGATCGAAGGTCTTGCAGCCTGTGCTCAGCGCGTGTTTCATACGCAAGTGCGTATCGGCGCGCCGC
-TGAACATTACCGGTTTAACGGATTATGCTCAGGAGCCGTATTATTCGACGGCGGTGGGATTGCTTCACTA
-TGGGAAAGAGTCACATCTTAACGGTGAAGCTGAAGTAGAAAAACGTGTTACAGCATCAGTTGGCTCGTGG
-ATCAAGCGACTCAATAGTTGGCTGCGAAAAGAGTTTTAATTTTTATGAGGCCGACGATGATTACGGCCTC
-AGGCGACAGGCACAAATCGGAGAGAAACTATGTTTGAACCAATGGAACTTACCAATGACGCGGTGATTAA
-AGTCATCGGCGTCGGCGGCGGCGGCGGTAATGCTGTTGAACACATGGTGCGCGAGCGCATTGAAGGTGTT
-GAATTCTTCGCGGTAAATACCGATGCACAAGCGCTGCGTAAAACAGCGGTTGGACAGACGATTCAAATCG
-GTAGCGGTATCACCAAAGGACTGGGCGCTGGCGCTAATCCAGAAGTTGGCCGCAATGCGGCTGATGAGGA
-TCGCGATGCATTGCGTGCGGCGCTGGAAGGTGCAGACATGGTCTTTATTGCTGCGGGTATGGGTGGTGGT
-ACCGGTACAGGTGCAGCACCAGTCGTCGCTGAAGTGGCAAAAGATTTGGGTATCCTGACCGTTGCTGTCG
-TCACTAAGCCTTTCAACTTTGAAGGCAAGAAGCGTATGGCATTCGCGGAGCAGGGGATCACTGAACTGTC
-CAAGCATGTGGACTCTCTGATCACTATCCCGAACGACAAACTGCTGAAAGTTCTGGGCCGCGGTATCTCC
-CTGCTGGATGCGTTTGGCGCAGCGAACGATGTACTGAAAGGCGCTGTGCAAGGTATCGCTGAACTGATTA
-CTCGTCCGGGTTTGATGAACGTGGACTTTGCAGACGTACGCACCGTAATGTCTGAGATGGGCTACGCAAT
-GATGGGTTCTGGCGTGGCGAGCGGTGAAGACCGTGCGGAAGAAGCTGCTGAAATGGCTATCTCTTCTCCG
-CTGCTGGAAGATATCGACCTGTCTGGCGCGCGCGGCGTGCTGGTTAACATCACGGCGGGCTTCGACCTGC
-GTCTGGATGAGTTCGAAACGGTAGGTAACACCATCCGTGCATTTGCTTCCGACAACGCGACTGTGGTTAT
-CGGTACTTCTCTTGACCCGGATATGAATGACGAGCTGCGCGTAACCGTTGTTGCGACAGGTATCGGCATG
-GACAAACGTCCTGAAATCACTCTGGTGACCAATAAGCAGGTTCAGCAGCCAGTGATGGATCGCTACCAGC
-AGCATGGGATGGCTCCGCTGACCCAGGAGCAGAAGCCGGTTGCTAAAGTCGTGAATGACAATGCGCCGCA
-AACTGCGAAAGAGCCGGATTATCTGGATATCCCAGCATTCCTGCGTAAGCAAGCTGATTAAGAATTGACT
-GGAATTTGGGTTTCGAGGCTCTTTGTGCTAAACTGGCCCGCCGAATGTATAGTACACTTCGGTTGGATAG
-GTAATTTGGCGAGATAATACGATGATCAAACAAAGGACACTTAAACGTATCGTTCAGGCGACGGGTGTCG
-GTTTACATACCGGCAAGAAAGTCACCCTGACGTTACGCCCTGCGCCGGCCAACACCGGGGTCATCTATCG
-TCGCACCGACTTGAATCCACCGGTAGATTTCCCGGCCGATGCCAAATCTGTGCGTGATACCATGCTCTGT
-ACGTGTCTGGTCAACGAGCATGATGTACGGATTTCAACCGTAGAGCACCTCAATGCTGCTCTCGCGGGCT
-TGGGCATCGATAACATTGTTATCGAAGTTAACGCGCCGGAAATCCCGATCATGGACGGCAGCGCCGCTCC
-GTTTGTATACCTGCTGCTTGACGCCGGTATCGACGAGTTGAACTGCGCCAAAAAATTTGTTCGCATCAAA
-GAGACTGTTCGTGTCGAAGATGGCGATAAGTGGGCTGAATTTAAGCCGTACAATGGTTTTTCGCTGGATT
-TCACCATCGATTTTAACCATCCGGCTATTGATTCCAGCAACCAGCGCTATGCGATGAACTTCTCCGCTGA
-TGCGTTTATGCGCCAGATCAGCCGTGCGCGTACGTTCGGTTTCATGCGTGATATCGAATATCTGCAGTCC
-CGTGGTTTGTGCCTGGGCGGCAGCTTCGATTGTGCCATCGTTGTTGACGATTATCGCGTACTGAACGAAG
-ACGGCCTGCGTTTTGAAGACGAATTTGTGCGTCACAAAATGCTCGATGCGATCGGTGACTTGTTCATGTG
-TGGTCACAATATTATTGGTGCATTTACCGCTTATAAATCCGGTCATGCACTGAATAACAAACTGCTGCAG
-GCTGTCCTGGCGAAACAGGAAGCCTGGGAATATGTGACCTTCCAGGACGACGCAGAACTGCCGTTGGCCT
-TCAAAGCGCCTTCAGCTGTACTGGCATAACGACATTTATACTGTCGTATAAAATTCGACTGGCAAATCTG
-GCACTCTCTCCGGCCAGGTGAACCAGTCGTTTTTTTTTGAATTTTATAAGAGCTATAAAAAACGGTGCGA
-ACGCTGTTTTCTTAAGCACTTTTCCGCACAACTTATCTTCATTCGTGCTGTGGACTGCAGGCTTTAATGA
-TAAGATTTGTGCGCTAAATACGTTTGAATATGATCGGGATGGCAATAACGTGAGTGGAATACTGACGCGC
-TGGCGACAGTTTGGTAAACGCTACTTCTGGCCGCATCTCTTATTAGGGATGGTTGCGGCGAGTTTAGGTT
-TGCCTGCGCTCAGCAACGCCGCCGAACCAAACGCGCCCGCAAAAGCGACAACCCGCAACCACGAGCCTTC
-AGCCAAAGTTAACTTTGGTCAATTGGCCTTGCTGGAAGCGAACACACGCCGCCCGAATTCGAACTATTCC
-GTTGATTACTGGCATCAACATGCCATTCGCACGGTAATCCGTCATCTTTCTTTCGCAATGGCACCGCAAA
-CACTGCCCGTTGCTGAAGAATCTTTGCCTCTTCAGGCGCAACATCTTGCATTACTGGATACGCTCAGCGC
-GCTGCTGACCCAGGAAGGCACGCCGTCTGAAAAGGGTTATCGCATTGATTATGCGCATTTTACCCCACAA
-GCAAAATTCAGCACGCCCGTCTGGATAAGCCAGGCGCAAGGCATCCGTGCTGGCCCTCAACGCCTCACCT
-AACAACAATAAACCTTTACTTCATTTTATTAACTCCGCAACGCGGGGCGTTTGAGATTTTATTATGCTAA
-TCAAATTGTTAACTAAAGTTTTCGGTAGTCGTAACGATCGCACCCTGCGCCGGATGCGCAAAGTGGTCAA
-CATCATCAATGCCATGGAACCGGAGATGGAAAAACTCTCCGACGAAGAACTGAAAGGGAAAACCGCAGAG
-TTTCGTGCACGTCTGGAAAAAGGCGAAGTGCTGGAAAATCTGATCCCGGAAGCTTTCGCCGTGGTACGTG
-AGGCAAGTAAGCGCGTCTTTGGTATGCGTCACTTCGACGTTCAGTTACTCGGCGGTATGGTTCTTAACGA
-ACGCTGCATCGCCGAAATGCGTACCGGTGAAGGAAAAACCCTGACCGCAACGCTGCCTGCTTACCTGAAC
-GCACTAACCGGTAAAGGCGTGCACGTAGTTACCGTCAACGACTACCTGGCGCAACGTGACGCCGAAAACA
-ACCGTCCGCTGTTTGAATTCCTTGGCCTGACTGTCGGTATCAACCTGCCGGGCATGCCAGCACCGGCAAA
-GCGCGAAGCTTACGCAGCTGACATCACTTACGGTACGAACAACGAATACGGCTTTGACTACCTGCGCGAC
-AACATGGCGTTCAGCCCTGAAGAACGTGTACAGCGTAAACTGCACTATGCGCTGGTGGACGAAGTGGACT
-CCATCCTGATCGATGAAGCGCGTACACCGCTGATCATTTCCGGCCCGGCAGAAGACAGCTCGGAAATGTA
-TAAACGCGTGAATAAAATTATTCCGCACCTGATCCGTCAGGAAAAAGAAGACTCCGAAACCTTCCAGGGC
-GAAGGCCACTTCTCGGTGGACGAAAAATCTCGCCAGGTGAACCTGACCGAACGTGGTCTGGTGCTGATTG
-AAGAACTGCTGGTGAAAGAGGGCATCATGGATGAAGGGGAGTCTCTGTACTCTCCGGCCAACATCATGCT
-GATGCACCACGTAACGGCGGCGCTGCGCGCTCATGCGCTGTTTACCCGTGACGTCGACTACATCGTTAAA
-GATGGTGAAGTTATCATCGTTGACGAACACACCGGTCGTACCATGCAGGGCCGTCGCTGGTCCGATGGTC
-TGCACCAGGCTGTGGAAGCGAAAGAAGGTGTGCAGATCCAGAACGAAAACCAAACGCTGGCTTCGATCAC
-CTTCCAGAACTACTTCCGTCTGTATGAAAAACTGGCGGGGATGACCGGTACTGCTGATACCGAAGCTTTC
-GAATTTAGCTCAATCTACAAGCTGGATACCGTCGTTGTTCCGACCAACCGTCCAATGATTCGTAAAGATC
-TGCCGGACCTGGTCTACATGACTGAAGCGGAAAAAATTCAGGCGATCATTGAAGATATCAAAGAACGTAC
-TGCGAAAGGCCAGCCGGTGCTGGTGGGTACTATCTCCATCGAAAAATCGGAGCTGGTGTCAAACGAACTG
-ACCAAAGCCGGTATTAAGCACAACGTCCTGAACGCCAAATTCCACGCCAACGAAGCGGCGATTGTTGCTC
-AGGCAGGTTATCCGGCTGCGGTGACTATCGCGACCAATATGGCGGGTCGTGGTACAGATATTGTGCTCGG
-TGGTAGCTGGCAGGCAGAAGTTGCCGCGCTGGAAAATCCGACCGCAGAGCAAATTGAAAAAATTAAAGCC
-GACTGGCAGGTACGTCACGATGCGGTACTGGAAGCAGGTGGCCTGCATATCATCGGTACCGAGCGTCACG
-AATCCCGTCGTATCGATAACCAGTTGCGCGGTCGTTCTGGTCGTCAGGGGGATGCTGGTTCTTCCCGTTT
-CTACCTGTCGATGGAAGATGCGCTGATGCGTATTTTTGCTTCCGACCGAGTATCCGGCATGATGCGTAAA
-CTGGGTATGAAGCCAGGCGAAGCCATTGAACACCCGTGGGTGACTAAAGCGATTGCCAACGCCCAGCGTA
-AAGTTGAAAGCCGTAACTTCGACATTCGTAAGCAACTGCTGGAATATGATGACGTGGCTAACGATCAGCG
-TCGCGCCATTTACTCCCAGCGTAACGAACTGTTGGATGTCAGCGATGTGAGCGAAACCATTAACAGCATT
-CGTGAAGATGTGTTCAAAGCGACCATTGATGCCTACATTCCACCACAGTCGCTGGAAGAAATGTGGGATA
-TTCCGGGGCTGCAGGAACGTCTGAAGAACGATTTCGACCTCGATTTGCCAATTGCCGAGTGGCTGGATAA
-AGAACCAGAACTGCATGAAGAGACGCTGCGTGAGCGCATTCTGGCGCAGTCCATCGAAGTGTATCAGCGT
-AAAGAAGAAGTGGTTGGTGCTGAGATGATGCGTCACTTCGAGAAAGGCGTCATGCTGCAAACGCTTGACT
-CCCTGTGGAAAGAGCACCTGGCAGCGATGGACTATCTGCGTCAGGGTATCCACCTGCGTGGCTACGCACA
-GAAAGATCCGAAGCAGGAATACAAACGTGAATCGTTCTCCATGTTTGCAGCGATGCTGGAGTCGTTGAAA
-TATGAAGTTATCAGTACGCTGAGCAAAGTTCAGGTACGTATGCCTGAAGAGGTTGAGGAGCTGGAACAAC
-AGCGTCGTATGGAAGCCGAGCGTTTAGCGCAAATGCAGCAGCTTAGCCATCAGGATGACGACTCTGCAGC
-CGCAGCTGCACTGGCGGCGCAAACCGGAGAGCGCAAAGTAGGACGTAACGATCCTTGCCCGTGCGGTTCT
-GGTAAAAAATACAAGCAGTGCCATGGCCGCCTGCAATAAAAGCTAACTGTTGAAGTAAAAGGCGCAGGAT
-TCTGCGCCTTTTTTATAGGTTTAAGACAATGAAAAAGCTGCAAATTGCGGTAGGTATTATTCGCAACGAG
-AACAATGAAATCTTTATAACGCGTCGCGCAGCAGATGCGCACATGGCGAATAAACTGGAGTTTCCCGGCG
-GTAAAATTGAAATGGGTGAAACGCCGGAACAGGCGGTGGTGCGTGAACTTCAGGAAGAAGTCGGGATTAC
-CCCCCAACATTTTTCGCTATTTGAAAAACTGGAATATGAATTCCCGGACAGGCATATAACACTGTGGTTT
-TGGCTGGTCGAACGCTGGGAAGGGGAGCCGTGGGGTAAAGAAGGGCAACCCGGTGAGTGGATGTCGCTGG
-TCGGTCTTAATGCCGATGATTTTCCGCCAGCCAATGAACCGGTAATTGCGAAGCTTAAACGTCTGTAGGT
-CAGATAAGGCGTTTTCGCCGCATCCGACATTCGCACACGATGCCTGATGCGACGCTGGCGCGTCTTATCA
-GGCCTAAAGGGATTTCTAACTCATTGATAAATTTGTTTTTGTAGGTCGGATAAGGCGTTCACGCCGCATC
-CGACATTTGCACAAGATGCCTGATGCGACGCTGTCCGCGTCTTATCAGGCCTACGTGCGGCATCAGACAA
-ATGTCACTGCTTTGGTTCTTCGCTCCAGTCATCGCTTTCGGAAAGATCGCCACTGCTGGGGATTCGTTTT
-TCTTCAGCAGCCCATTCTCCGAGGTCGATCAGCTGACAACGTTTGGAGCAAAATGGCCGAAACGGGCTGA
-TTTCACCCCACACCACCGTTTTCCCGCAGGTTGGGCAATTCACCGTAATAGTTTCTGACATTTTTACTCC
-TTAGCAACAGGCCAGTTCGAAATCCAGACGTTCCGGTACCTGTCCGTTTTCAGTGTCCAGCGGCATAAAA
-CGAATGGCAAAACGGCTCTTATGTCCGGAAATTTGCGGATAAAGCTGTGAATCGAGCGACAGATTCAGGC
-GCAGCAAGTCGGCATCGCCACCGTTATCCTGATAAAAACCATTCAGGCTGGTTTGTTTACGGAAGGGGGC
-CGACTGGCGAATTAAATCCAGCACCATGGTAAGTGCCTGGGTGAGCGGGTTCAGGCTGGCAATCCAGGTT
-TCTACCTGGCTGTCGCGCTGCGCCTGGGGTAGATGCAGCCAAATGTGCAATGTAGGTAAATCAAAGCTGC
-AACAGCCGCCTGGGATGCTCAGTCGCTGACGCACCAGAGCAATCAAACGATCTTCACGCAGAAATTGCCC
-GATACGCGGCGCGGAAATTAATACGCTCCCCGCCGCTTTTAACTGCTGAATTAATGCTTCAATACGGCTC
-TGGTCCACGCCAGGCACGCCAATCCAGGTCTGGAGTTTACGTTGCTGCCGGTCAAGTTCTTTCAACAGCT
-CAGTGCGGACTTCGCCGCGCTCGAAAACATCCAGTAATTCACTGACATTACGGAAGAAATGCAGCGCGCC
-AGCGTGGTCAACGATGGGTAAATTAACGGTGAGTTGCTGAATCAAAAACTCAATGCGCAGCCATGTACGC
-ATTTTTTCATTTAGTGGATGTTCAAAAAGGACCTGGGTCTGCATTACGGTTTTTCCTGTGAGACAAACTG
-CGACGCAAGCTGCAAATAGTGTGCGTGCAGGCGGGCAACATCCGATGCGATAGCATCCGGTGCGCCGTTA
-TTATCAATGACGTCATCTGCCACGGCAAGGCGGGCTTCGCGCGTTGCCTGAGCAGCAAGGATTTGTTCGA
-CATGCTCGCGAGTTACATCATCGCGCTGCATGGTGCGCTTAAGTTGCGTTTCTGGGCTGACATCCACCAC
-CAGCACTCGATTCGCTTTTTTATACAGTGAGTTTTCTACCAGCAATGGCACAACCCACAGTACATAGGGG
-GAAGTAGCTTGCTGGATCTGGTGTTGCGTCTCTTGCTGAATCAGCGGATGCAGCAGGGCGTTAAGCCAGT
-TTTTCTCTTCCGGGTTGGCGAAGATCCGCTCGCGCAAGGCCCGGCGCTGCAATGTTCCATCAGCAGCAAT
-CATGTTAGCGCCAAAGTGATCAGCAATGGCATGTAGCGCAGGTGCACCTGGTTCAACCACCTGACGCGCA
-ATAATATCGGCATCAATGACGTTAATTCCGAGATCAGCAAACGCATTGGCAACGGTACTCTTGCCACTGC
-CAATGCCTCCCGTTAAGGCAACTATATACCTCATAATTTATATTCCCGGGAATTCATCATGATTATCAAA
-ACGTTAAAAATGAGTGCACGAAAGCGAAATTGATGAAACGTTCGCTCACTATTTACCAGGTAAATTTATG
-GGATTGTAGCGTAAAAAAAGACAATTTCGCAGTCTTGCGCCGCATTGATTAGTGCGTATGATAGCGTCAC
-TGGAGTTGCGCTCTTACCCTTATAGCCATTAACCCCAGGAATCCGCACATGCGTATTGAAGAAGATCTGA
-AGTTAGGTTTTAAAGACGTTCTCATCCGCCCTAAACGCTCCACTCTTAAAAGCCGTTCCGATGTTGAACT
-GGAACGTCAATTCACCTTCAAACATTCAGGTCAGAGCTGGTCCGGCGTGCCGATTATCGCCGCAAATATG
-GACACCGTAGGCACATTTTCTATGGCCTCTGCGCTGGCTTCTTTTGATATTTTGACTGCTGTGCATAAAC
-ACTATTCTGTCGAAGAGTGGCAAGCGTTTATCAACAATTCTTCCGCTGATGTGCTGAAACATGTGATGGT
-TTCTACCGGTACGTCTGATGCGGATTTCGAAAAAACTAAACAGATTCTCGACCTGAACCCGGCATTAAAC
-TTCGTTTGTATTGACGTGGCGAATGGTTATTCCGAACACTTCGTGCAGTTCGTTGCGAAAGCGCGTGAAG
-CGTGGCCGACCAAAACCATTTGTGCTGGTAACGTAGTGACTGGTGAAATGTGTGAGGAGCTTATCCTCTC
-AGGTGCCGATATCGTTAAAGTTGGCATTGGCCCAGGTTCTGTTTGTACAACTCGCGTCAAAACAGGCGTC
-GGTTATCCGCAACTTTCTGCGGTAATCGAATGTGCCGATGCTGCGCACGGTCTGGGCGGAATGATCGTCA
-GCGATGGTGGCTGCACCACGCCGGGCGATGTGGCGAAAGCCTTTGGCGGCGGTGCCGATTTCGTCATGCT
-TGGCGGCATGCTGGCGGGCCACGAAGAGAGCGGCGGTCGCATCGTTGAGGAGAACGGCGAGAAATTTATG
-CTGTTCTACGGCATGAGCTCCGAGTCTGCGATGAAACGTCACGTTGGCGGCGTTGCGGAATATCGCGCAG
-CAGAAGGTAAAACCGTTAAGCTGCCGCTGCGAGGCCCGATTGAAAATACCGCGCGAGATATTTTGGGCGG
-CCTGCGTTCAGCTTGTACATACGTTGGGGCTTCACGCCTGAAAGAGCTGACCAAGCGCACCACGTTTATT
-CGTGTGCAGGAACAAGAAAACCGCATCTTCAACAACCTGTAATCTCCCAACGCTGGCGTGGAGCAACACG
-CCAGCGTTATCCCATCCCACTCATCGCATCGCCTAAATGGAAAATTGGCAGATACATTGCCACCACCAGC
-GTACCAATAATTCCTCCCGTTATGATCAGCAACGCCGGTTCCAGTAAGGCTGCGAGGTTATCCGCCAGCG
-CCATTGTGTTTTCCCGATGATGATGGGCGAGGTTGTCTAACATGAGATCCAGAGAGCCGGATGCCTCTCC
-TGTTCTCACTAATTGCAAACAGAGCGGGCTAAACTCACCGGTATTTTTTAGCGCCAGCCAGATGGGTTGA
-CCGTTACTGATATCGTGCTGGATTTGTGTCAGAAGTTGCACCCAGTACGGGCAGCGCATTGTTTCTCTGA
-CGCTCTCTACGCCCTGTAAAAAAGTAATGCCTGCACTTTGTGTCAGCGCCAGAATCGTAAAGATCTGCGT
-GAGTTTTTGTCCCCGCATCAGTGAACCCATAATCGGGATGCGTAACAGCAATTTCTGCCGCACTATAAGC
-CAGGTCGGTCGGCGCATCAGCAACTTATTGGCTATCGCCAGCAGAAAGCCGAACAACACCAGCAGCCAGC
-TCCATTCGCCACTAAAGTCTGCCAGCGTCATGATCCCCTGCGTTAGTGCCGGTAGTGGGGTGTTGAAGGT
-CTTATAGATAGCGGCAAACTCCGGCAGAACAAAATGCAGCATTGCCACAACCACCATGATTGCCATCGCT
-AAAATGATGATGGGATAACGTAACGCTGATTTCACTTTGTCGGTCAACTGACGCTGGGCTTTTTGCTGAC
-GCGCCAGTTCAAAGCAGCATTCATCCAGCTTACCGGTCAGTTCACCCGTGCGGATCATCGCCTGATAGAG
-CGGCGGAAATACCTCTGACCAGGGTAATAAGGCATTGGAAAAAGCAATGCCCTGTTCGAGATCGTGCGCC
-AGCGATTGCAGCAACGCTTGCCATTGCTTACTGGGATGCTGTTCCGCCAGCAGAGCCAGCCCTTCAGAAA
-GTGTTAACCCTGCTTTGAGTAGCGTCGCCAGTTGATGAATGACTTCCGCGCTTTTATCTCCTCGCCACTG
-CGCAGAATTGATGGCGATTCGCTTCAGGCTTAGTGGGGTAACCATCTGTTGCTGTAGTGCCATAAGCAGT
-AAAGTACGGCTCTCTGCCCATAGCATCCCATCTTGCGCATTGCCGTCGCCGGTTATGCCATGCCAGCGCC
-AGAGTTGCTTACTCGCCATGCGGCATCCCCAGTACGCGGATTAACTCTTCAAAGGTGGTTAAGCCTTGCT
-CTACGGCCAGGCAGCCGTTTTCAAAAAGCGTACGCATACCCGCCTGTCGTGCGTGCGTTTCCAGCGATTC
-AACGTCGGTATTAGCGGAAATAAGCTGACGAATGACCGGCGTTATGGGCAGAACTTCAAATAAGGCCGTA
-CGACCATAAAAACCGTGGTAGCAATGTACACAACCGGGTGCCTGCCAGTGGGGCAGCGGCGATGGCCATA
-CATTGTCTGGAATGTGGATGGGCTCCCCTTGCTGCCGGCGACAATGTGGGCAAAGTTTGCGTACCAGACG
-CTGGGCTATTACCAGCGTAAGCGCCGATGATAGCATCCAGCGGGCGACCCCCATTTGCTGTAAACGTACC
-AGCGTTTCGCAGGTGGAATTAGTGTGTAGGGTAGACAACACCAGGTGACCAGTTTGCGCCGCTTTAATAG
-CGATCTCTGCTGTTTCGCCATCGCGGATCTCTCCGATCATGATGACGTCAGGATCCTGGCGCAATAACGC
-ACGCAAAACGCCCTGAAAGGTGAGTCCGGCACGCGGATGGATTTGCGTCTGGTTTAGTCCGGCTATGGGG
-ATCTCAACTGGATCTTCGACGCTACAAATATTAATGTCAGCGGTATTCAGCTTTTGCAGGGCACTATAAA
-GCGTGACCGTTTTGCCGCTGCCGGTAGGGCCAGTTACCAGCACCAGTCCCTGTGGTTGTTGCAAGGCATG
-AGCAAAGTCCGCCAGTTGTAACGGCTGCATTCCAAGCGTGTTGACATCCAGTGCCTGACCCACCTGCTGT
-AACAACCTTAATACCACCTTTTCACCACCCCGACATGGTAAGGTCGCAATACGAAATGAGACGGCGTTTC
-CTGCCAGTTCGACAGTGAATTGCCCGTCCTGCGGCAGGCGATGTTCCGCAATATCCAGGTTTCCCAGCAC
-TTTTAATCTGGCGGTTAATGCGACTCCGGCATCCGGTGAAACATCCGGTAAAGGATGCAATACGCCGTCG
-ATACGCAAGCGGATGCGGTAGGCATTGTCCGCTGGTTCGATATGAATATCAGACGCGCGTTGTTCCAGCG
-CAGATTGTAACGTTCGAGTTAGCAACTCTGCTTTGGGCTGATGCTTCTCCTGAACAGCTACGGGCAATGT
-CTGTTGTGTGCGACTGGCGTGACCTTCCATTTGTTGGCGCGTCCAGCAGGTGATCTCAATACGTTTGGTG
-GTAGCGAAATGCAATGCGTCCAGTAGCTCATGCGAAGGTGCATCGACTACCGCAACATGAACCACCTCTT
-CGCTGGCATCCAGCAAGACTCCATGATAACGCAGACACAGGGCAGTGAGCTGTGGAATATTCATTGCCGC
-TCCTTAGTTGGCGTCATCAAAGCGGAAGACATCTTCGCAGGCTTGCTGCAATGCGCTGTCACTTTGAATA
-TTGCAGTTGCGCGTCCAGCCGGTGACGCCGTTTGCGTTATCCCAACCCGGTGTCATGACGACGCTTAGCC
-CATTGAGACTTTCTTGCCCGGTCAGCGACACCACGCCCTTTGCCACACTCATGGCTGAAACATAGCGGGT
-GGTGGTAGGCGAGGGAATGCCATTGCTGCCACCGTCGCAGGTATCTAATCCACCATGTTCCAGCGCGCAC
-AACTCTACGGCGGTACGGTAAGGCACAAAGGTTTGTAGCATGTCGGTGAGTGCGGCTTTGCGCAGGTAGT
-TTTGATAAGCGGGAATACCAATGGCGCTTAAAATGGCAATGATGCCAATAACCACCATCAGTTCGATAAG
-TGTAAAACCGCGTTGCTTGTCCATCTGTTTCGCTCCTTGATTTGGTTGGCGCTACTTTGGCAAACGCCAT
-CAGCACAGGCGAGGGGCAAAAAACGAAACGGGAAAGCAGATTCCGAGGTTTTTTATTTCGTTGCAGCGAA
-AGACAAGAAATTTGCGAGGCGTTACGAAGAAAGTTGGGGAAGGGGAGATTATCCGCCCGCGATGGAGCGG
-ATAAATCTGTCAACTATTAGCGAAAACGCATTGAAAGGTCGAGTGCTTGTACGTGTTTAGTTAGCGCACC
-GACGGAGATAAAGTCCACGCCCGTTTCGGCAAATTCACGCAGTGTTTTGTCAGTGACGTTGCCAGACACT
-TCCAGTAGCGCCTTGCCGTTGGTGCGTTTGACGGCTTCGCGCATCTGTTCTGTTTCGAAGTTATCCAGCA
-TGATGATATCGGCTCCTGCTTTCAGGGCTTCATCAAGTTCTTCCAGATTCTCTACTTCGACTTCTACTGG
-CGCATCCGGGTGCAGCCAGGACGCTTTTTCGACCGCCTGGCGCACTGAGCCGGAGGCAATAATATGGTTT
-TCTTTGATCAGGAAGGCATCAGAAAGCCCCAGACGGTGATTCGCTCCGCCGCCGCAAAGTACCGCGTATT
-TCAGAGCTGAACGCAGGCCGGGTAAGGTTTTGCGCGTATCCAACAACTGCGTGTTGGTGCCTTCCAGCAA
-TTCGACATAGTGGCGTACCTTACTGGCAACTCCTGAAAGGGTTTGCACAAAATTAAGCGCAGTGCGTTCG
-CCCGTTAACAGCACGCGGGATGGGCCTTCAAGTTCGAACAAGGATTGATTGGCATTGATGACATCGCCGT
-CATCCACATGCCAGATTATGGTGACATCGTCGCCTGCCAGTTGAATAAACACCTCTTCAACCCAGCGTTT
-GCCGCAAAAGACGCCATTCTCGCGGGTGATCACCGTGGCATGAGAGCGAGAATTTTCCGGTAAAAGTTTT
-GCCGTAATATCATTGTTGGCATCGACTGTTCCGCCTAAATCTTCCCGCAGCGCCTGGGCCACCGCGCCGG
-GGATATCGAGATTAATGCGTTCCAGCAGCTCGTCACGTCGGGTGTCAGGGTTATAGCGGCGAGGCGGCAT
-GTTAAAACTCCAGATAGCTAACGAATCATAAGGTAGAAACATGCTACTCTGAACCGGGTATTAGCACCAC
-ATATAAGGAGATCCTGCATGTTGTTAGAACAGGGGTGGCTGGTTGGCGCGCGCCGCGTTCCCTCACCACA
-TTACGATTGCCGCCCGGATGACGAAACACCCACCCTGCTGGTGGTGCACAATATTAGCCTGCCGCCAGGC
-GAGTTTGGCGGTCCGTGGATCGACGCATTATTCACTGGAACTATTGATCCGCAGGCACATCCTTTCTTTG
-CTGAGATCGCCCATTTGCGCGTCTCCGCTCACTGTTTGATTCGCCGTGATGGTGAAATAGTCCAGTATGT
-TCCTTTCGATAAACGTGCATGGCATGCGGGAGTCTCTCAGTATCAGGGGCGCGAACGCTGCAATGATTTT
-TCTATTGGGATTGAGCTTGAAGGCACCGATACGCTGGCGTATACCGATGCGCAGTATCAACAGCTTGCGG
-CGGTTACGCGGGCACTGATTGATTGCTATCCGGATATCGCTAAAAACATGACGGGCCATTGTGATATTGC
-GCCGGATCGGAAAACCGATCCCGGTCCTGCATTTGATTGGGCACGGTTTCGTGTGCTGGTCAGCAAGGAG
-ACAACATGACGCTATTTACAACCTTACTGGTGTTAATTTTCGAGCGCCTGTTTAAGTTGGGCGAGCACTG
-GCAGCTTGATCATCGTCTTGAAGCGTTCTTTCGGCGGGTGAAACATTTTTCTCTCGGGCGCACGTTAGGC
-ATGACCATTATTGCGATGGGCGTGACTTTTTTACTGTTACGCGCATTGCAGGGAGTATTGTTCAACGTTC
-CCACGCTACTGGTGTGGCTGTTGATTGGTTTGCTGTGTATTGGCGCAGGTAAAGTTCGTCTTCATTATCA
-TGCTTATCTGACAGCTGCTTCACGTAATGATAGCCATGCCCGTGCCACGATGGCTGGCGAACTCACCATG
-ATTCACGGCGTCCCGGCAGGCTGCGACGAACGTGAGTATTTGCGTGAGCTGCAAAATGCATTGCTGTGGA
-TTAACTTTCGTTTTTATCTTGCACCGCTGTTCTGGCTGATTGTGGGGGGAACCTGGGGACCCGTTACGCT
-GATGGGGTATGCGTTTTTGCGTGCATGGCAATACTGGCTGGCGCGATATCAGACGCCGCATCATCGTTTA
-CAGTCCGGCATTGATGCCGTGCTTCATGTACTGGATTGGGTGCCGGTTCGTCTTGCGGGTGTGGTATATG
-CCTTGATCGGTCATGGTGAGAAAGCGTTACCGGCCTGGTTTGCTTCGCTGGGTGATTTCCATACTTCGCA
-GTATCAGGTGTTAACGCGTCTGGCGCAGTTCTCTCTGGCGCGTGAACCGCATGTCGATAAGGTGGAGACG
-CCGAAGGCAGCGGTTTCAATGGCGAAGAAAACCTCGTTCGTGGTCGTGGTGGTGATTGCACTACTGACGA
-TTTACGGGGCGTTGGTGTAAAGATTATTGCCCTCACCCTGTACGGGTGAGGGCGTAGAGAGATTAATGCG
-CTTTTACGGCTTTGGCGGTTTTCTCTTTAAACAGATAGCCGATACCTAACACGATCAGCCATACCGGGAT
-CAGGTATACCGAAATCGCCATTCCTGGGGTCATCAGCATAATCACCAGTACCGCCGCCATAAACAGCAGG
-CAGATCCAGTTACCCAGCGGATAAAGCAGAGCAGGGAAGCGAGTTACCACGCCTTGTTCCTGCTTGGCGC
-GACGGAATTTCATATGCGCCAGGCTAATCATCGCCCAGTTGATTACCAGTGCAGATACCACCAGCGCCAT
-TAACAGTCCGAAAGCGGACTCTGGGGCAAGGTAGTTAATCAGTACGCACAACGCCGTTACCAGTGCAGAC
-ACCAGAATGGTATTTACTGGTACACCACGTTTATCGACAGACGCCAGCGCTTTTGGCGCATTACCCTGTT
-GTGCCAGACCAAACAGCATACGGCTGTTGCAATATACGCAGCTGTTGTACACGGAGAGCGCCGCAGTCAG
-TACCACGATGTTCAGCGCATTCGCCACAAAGGTATCGCCTAACTCGTGGAAGATCAGCACAAACGGACTG
-GTATCGGCGGTAACGCGGGTCCACGGCATCAGTGAGAGCAGAACGGCTAACGAACCAATATAGAAAATCA
-GGATGCGGTAGATAACCTGGTTAGTTGCTTTCGGTATACTTTGCTCCGGGTTATCAGCTTCTGCTGCGGT
-GATCCCCACCAGTTCCAGACCACCGAACGAGAACATGATAATCGCCATCATCATCACCAGCCCGGTGAAG
-CCGTGCGGCAGGAAACCACCCTGATCCCACAGGTTGCTAACGGTCGCCTGCGGGCCGCCGTTGCCACTGA
-ATAGCAGCCAGCCGCCGAAGATGATCATCGCTACCACCGCGATAACTTTGATAATGGCAAACCAGAACTC
-CATCTCGCCAAACACTTTAACGTTGGTCAGGTTGATGGCGTTAATCACCACAAAGAATACGGCGGCAGAA
-ACCCAGGTGGGGATTTCCGGATACCAGAACTGAATGTATTTACCCACGGCAGTCAGCTCAGCCATGGCAA
-CTAAAACGTACAGTACCCAGTAGTTCCAGCCAGAGGCGAAACCGGCAAAACTGCCCCAGTATTTATAAGC
-AAAGTGGCTAAAGGAGCCTGCGACAGGTTCTTCGACCACCATTTCACCCAGCTGACGCATGATCAGAAAG
-GCGATAAAACCAGCAATGGCGTAACCCAGGATAATCCCTGGCCCTGCGGACTGTATTACGGAGGCGCTAC
-CCAGGAATAACCCGGTCCCTATCGCGCCACCCAGCGCGATAAGCTGAATATGGCGGTTTTTAAGGCCGCG
-CTTTAGCTGCTCGCCGTGCTGTTGACCTTCCATCATGAAACCTCGTGCGGTGGTTGTTTTTTTGATCTAC
-GCAGTGATGCGTGTGTAAGTTTGCAATTCCGTTTGTTGTATTAATTTGTTTACATCAAAGAAGTTTGAAT
-TGTTACAAAAAGACTTCCGTCAGATCAAGAATAATGGTATGCGGCAGCGAATGCACCCGCTTTATGCATG
-GTTGAAGATGAGTTGCTTAAAAAGAAACCGTTTGTAAAGCTCAGCCTCAACCCCTCTCAATATGTAGAAT
-GAATTTAAATTCGTTTTAATTGAATTAAAAATCAAAAAATTGGTAAGTGAATCGGTTCAATTCGGATTTT
-TATAGTTTAATAATCGTTAAAAAACTCCTTTCCTACGTAAAGTCTACATTTGTGCATAGTTACAACTTTG
-AAACGTTATATATGTCAAGTTGTTAAAATGTGCACAGTTTCATGATTTCAATCAAAACCTGTATGGACAT
-AAGGTGAATACTTTGTTACTTTAGCGTCACAGACATGAAATTGGTAAGACCAATTGACTTCGGCAAGTGG
-CTTAAGACAGGAACTCATGGCCTACAGCAAAATCCGCCAACCAAAACTCTCCGATGTGATTGAGCAGCAA
-CTGGAGTTTTTGATCCTCGAAGGCACTCTCCGCCCGGGCGAAAAACTCCCACCGGAACGCGAACTGGCAA
-AACAGTTTGACGTCTCCCGTCCCTCCTTGCGTGAGGCGATTCAACGTCTCGAAGCGAAGGGCTTGTTGCT
-TCGTCGCCAGGGTGGCGGCACTTTTGTCCAGAGCAGCCTATGGCAAAGCTTCAGCGATCCGCTGGTGGAG
-CTGCTCTCCGACCATCCTGAGTCACAGTATGACTTGCTCGAAACACGACACGCCCTGGAAGGTATCGCCG
-CTTATTACGCCGCGCTGCGTAGTACCGATGAAGACAAGGAACGCATCCGTGAACTCCACCACGCCATAGA
-GCTGGCGCAGCAGTCTGGCGATCTGGACGCGGAATCAAACGCCGTACTCCAGTATCAGATTGCCGTCACC
-GAAGCGGCCCACAATGTGGTTCTGCTTCATCTGCTAAGGTGTATGGAGCCGATGTTGGCCCAGAATGTCC
-GCCAGAACTTCGAATTGCTCTATTCGCGTCGCGAGATGCTGCCGCTGGTGAGTAGTCACCGCACCCGCAT
-ATTTGAAGCGATTATGGCCGGTAAGCCGGAAGAAGCGCGCGAAGCATCGCATCGCCATCTGGCCTTTATC
-GAAGAAATTTTGCTCGACAGAAGTCGTGAAGAGAGCCGCCGTGAGCGTTCTCTGCGTCGTCTGGAGCAAC
-GAAAGAATTAGTGATTTTTCTGGTAAAAATTATCCAGAAGATGTTGTAAATCAAGCGCATATAAAAGCGC
-GGCAACTAAACGTAGAACCTGTCTTATTGAGCTTTCCGGCGAGAGTTCAATGGGACAGGTTCCAGAAAAC
-TCAACGTTATTAGATAGATAAGGAATAACCCATGTCAGAACGTTTCCCAAATGACGTGGATCCGATCGAA
-ACTCGCGACTGGCTCCAGGCGATCGAATCGGTCATCCGTGAAGAAGGTGTTGAGCGTGCTCAGTATCTGA
-TCGACCAACTGCTTGCTGAAGCCCGCAAAGGCGGTGTAAACGTAGCCGCAGGCACAGGTATCAGCAACTA
-CATCAACACCATCCCCGTTGAAGAACAACCGGAGTATCCGGGTAATCTGGAACTGGAACGCCGTATTCGT
-TCAGCTATCCGCTGGAACGCCATCATGACGGTGCTGCGTGCGTCGAAAAAAGACCTCGAACTGGGCGGCC
-ATATGGCGTCCTTCCAGTCTTCCGCAACCATTTATGATGTGTGCTTTAACCACTTCTTCCGTGCACGCAA
-CGAGCAGGATGGCGGCGACCTGGTTTACTTCCAGGGCCACATCTCCCCGGGCGTGTACGCTCGTGCTTTC
-CTGGAAGGTCGTCTGACTCAGGAGCAGCTGGATAACTTCCGTCAGGAAGTTCACGGCAATGGCCTCTCTT
-CCTATCCGCACCCGAAACTGATGCCGGAATTCTGGCAGTTCCCGACCGTATCTATGGGTCTGGGGCCGAT
-TGGTGCTATTTACCAGGCTAAATTCCTGAAATATCTGGAACACCGTGGCCTGAAAGATACCTCTAAACAG
-ACCGTTTACGCGTTCCTCGGCGACGGTGAAATGGACGAACCGGAATCCAAAGGTGCGATCACCATCGCTA
-CCCGTGAAAAACTGGATAACCTGGTCTTCGTTATCAACTGTAACCTGCAGCGTCTTGACGGCCCGGTCAC
-CGGTAACGGCAAGATCATCAACGAACTGGAAGGCATCTTCGAAGGTGCTGGCTGGAACGTGATCAAAGTG
-ATGTGGGGTAGCCGTTGGGATGAACTGCTGCGTAAAGATACCAGCGGTAAACTGATCCAGCTGATGAACG
-AAACCGTTGACGGCGACTACCAGACCTTCAAATCGAAAGATGGTGCGTACGTTCGTGAACACTTCTTCGG
-TAAATATCCTGAAACCGCAGCACTGGTTGCAGACTGGACTGACGAGCAGATCTGGGCACTGAACCGTGGT
-GGTCACGATCCGAAGAAAATCTACGCTGCATTCAAGAAAGCGCAGGAAACCAAAGGCAAAGCGACAGTAA
-TCCTTGCTCATACCATTAAAGGTTACGGCATGGGCGACGCGGCTGAAGGTAAAAACATCGCGCACCAGGT
-TAAGAAAATGAACATGGACGGCGTGCGTCACATCCGCGACCGTTTCAATGTGCCGGTGTCTGATACAGAT
-ATCGAAAAACTGCCGTACATCACCTTCCCGGAAGGTTCTGAAGAGCATACCTATCTGCACGCTCAGCGTC
-AGAAACTGCACGGTTATCTGCCAAGCCGTCAGCCGAACTTCACCGAGAAGCTTGAGCTGCCGAGCCTGCA
-AGACTTCGGCGCGCTGTTGGAAGAGCAGAGCAAAGAGATCTCTACCACTATCGCTTTCGTTCGTGCTCTG
-AACGTGATGCTGAAGAACAAGTCGATCAAAGATCGTCTGGTACCGATCATCGCCGACGAAGCGCGTACTT
-TCGGTATGGAAGGTCTGTTCCGTCAGATTGGTATTTACAGCCCGAACGGTCAGCAGTACACCCCGCAGGA
-CCGCGAGCAGGTTGCTTACTATAAAGAAGACGAGAAAGGTCAGATTCTGCAGGAAGGGATCAACGAGCTG
-GGCGCAGGTTGTTCCTGGCTGGCAGCGGCGACCTCTTACAGCACCAACAATCTGCCGATGATCCCGTTCT
-ACATCTATTACTCGATGTTCGGCTTCCAGCGTATTGGCGATCTGTGCTGGGCGGCTGGCGACCAGCAAGC
-GCGTGGCTTCCTGATCGGCGGTACTTCCGGTCGTACCACCCTGAACGGCGAAGGTCTGCAGCACGAAGAT
-GGTCACAGCCACATTCAGTCGCTGACTATCCCGAACTGTATCTCTTACGACCCGGCTTACGCTTACGAAG
-TTGCTGTCATCATGCATGACGGTCTGGAGCGTATGTACGGTGAAAAACAAGAGAACGTTTACTACTACAT
-CACTACGCTGAACGAAAACTACCACATGCCGGCAATGCCGGAAGGTGCTGAGGAAGGTATCCGTAAAGGT
-ATCTACAAACTCGAAACTATTGAAGGTAGCAAAGGTAAAGTTCAGCTGCTCGGCTCCGGTTCTATCCTGC
-GTCACGTCCGTGAAGCAGCTGAGATCCTGGCGAAAGATTACGGCGTAGGTTCTGACGTTTATAGCGTGAC
-CTCCTTCACCGAGCTGGCGCGTGATGGTCAGGATTGTGAACGCTGGAACATGCTGCACCCGCTGGAAACT
-CCGCGCGTTCCGTATATCGCTCAGGTGATGAACGACGCTCCGGCAGTGGCATCTACCGACTATATGAAAC
-TGTTCGCTGAGCAGGTCCGTACTTACGTACCGGCTGACGACTACCGCGTACTGGGTACTGATGGCTTCGG
-TCGTTCCGACAGCCGTGAGAACCTGCGTCACCACTTCGAAGTTGATGCTTCTTATGTCGTGGTTGCGGCG
-CTGGGCGAACTGGCTAAACGTGGCGAAATCGATAAGAAAGTGGTTGCTGACGCAATCGCCAAATTCAACA
-TCGATGCAGATAAAGTTAACCCGCGTCTGGCGTAAGAGGTAAAAGAATAATGGCTATCGAAATCAAAGTA
-CCGGACATCGGGGCTGATGAAGTTGAAATCACCGAGATCCTGGTCAAAGTGGGCGACAAAGTTGAAGCCG
-AACAGTCGCTGATCACCGTAGAAGGCGACAAAGCCTCTATGGAAGTTCCGTCTCCGCAGGCGGGTATCGT
-TAAAGAGATCAAAGTCTCTGTTGGCGATAAAACCCAGACCGGCGCACTGATTATGATTTTCGATTCCGCC
-GACGGTGCAGCAGACGCTGCACCTGCTCAGGCAGAAGAGAAGAAAGAAGCAGCTCCGGCAGCAGCACCAG
-CGGCTGCGGCGGCAAAAGACGTTAACGTTCCGGATATCGGCAGCGACGAAGTTGAAGTGACCGAAATCCT
-GGTGAAAGTTGGCGATAAAGTTGAAGCTGAACAGTCGCTGATCACCGTAGAAGGCGACAAGGCTTCTATG
-GAAGTTCCGGCTCCGTTTGCTGGCACCGTGAAAGAGATCAAAGTGAACGTGGGTGACAAAGTGTCTACCG
-GCTCGCTGATTATGGTCTTCGAAGTCGCGGGTGAAGCAGGCGCGGCAGCTCCGGCCGCTAAACAGGAAGC
-AGCTCCGGCAGCGGCCCCTGCACCAGCGGCTGGCGTGAAAGAAGTTAACGTTCCGGATATCGGCGGTGAC
-GAAGTTGAAGTGACTGAAGTGATGGTGAAAGTGGGCGACAAAGTTGCCGCTGAACAGTCACTGATCACCG
-TAGAAGGCGACAAAGCTTCTATGGAAGTTCCGGCGCCGTTTGCAGGCGTCGTGAAGGAACTGAAAGTCAA
-CGTTGGCGATAAAGTGAAAACTGGCTCGCTGATTATGATCTTCGAAGTTGAAGGCGCAGCGCCTGCGGCA
-GCTCCTGCGAAACAGGAAGCGGCAGCGCCGGCACCGGCAGCAAAAGCTGAAGCCCCGGCAGCAGCACCAG
-CTGCGAAAGCGGAAGGCAAATCTGAATTTGCTGAAAACGACGCTTATGTTCACGCGACTCCGCTGATCCG
-CCGTCTGGCACGCGAGTTTGGTGTTAACCTTGCGAAAGTGAAGGGCACTGGCCGTAAAGGTCGTATCCTG
-CGCGAAGACGTTCAGGCTTACGTGAAAGAAGCTATCAAACGTGCAGAAGCAGCTCCGGCAGCGACTGGCG
-GTGGTATCCCTGGCATGCTGCCGTGGCCGAAGGTGGACTTCAGCAAGTTTGGTGAAATCGAAGAAGTGGA
-ACTGGGCCGCATCCAGAAAATCTCTGGTGCGAACCTGAGCCGTAACTGGGTAATGATCCCGCATGTTACT
-CACTTCGACAAAACCGATATCACCGAGTTGGAAGCGTTCCGTAAACAGCAGAACGAAGAAGCGGCGAAAC
-GTAAGCTGGATGTGAAGATCACCCCGGTTGTCTTCATCATGAAAGCCGTTGCTGCAGCTCTTGAGCAGAT
-GCCTCGCTTCAATAGTTCGCTGTCGGAAGACGGTCAGCGTCTGACCCTGAAGAAATACATCAACATCGGT
-GTGGCGGTGGATACCCCGAACGGTCTGGTTGTTCCGGTATTCAAAGACGTCAACAAGAAAGGCATCATCG
-AGCTGTCTCGCGAGCTGATGACTATTTCTAAGAAAGCGCGTGACGGTAAGCTGACTGCGGGCGAAATGCA
-GGGCGGTTGCTTCACCATCTCCAGCATCGGCGGCCTGGGTACTACCCACTTCGCGCCGATTGTGAACGCG
-CCGGAAGTGGCTATCCTCGGCGTTTCCAAGTCCGCGATGGAGCCGGTGTGGAATGGTAAAGAGTTCGTGC
-CGCGTCTGATGCTGCCGATTTCTCTCTCCTTCGACCACCGCGTGATCGACGGTGCTGATGGTGCCCGTTT
-CATTACCATCATTAACAACACGCTGTCTGACATTCGCCGTCTGGTGATGTAAGTAAAAGAGCCGGCCCAA
-CGGCCGGCTTTTTTCTGGTAATCTCATGAATGTATTGAGGTTATTAGCGAATAGACAAATCGGTTGCCGT
-TTGTTGTTTAAAAATTGTTAACAATTTTGTAAAATACCGACGGATAGAACGACCCGGTGGTGGTTAGGGT
-ATTACTTCACATACCCTATGGATTTCTGGGTGCAGCAAGGTAGCAAGCGCCAGAATCCCCAGGAGCTTAC
-ATAAGTAAGTGACTGGGGTGAGGGCGTGAAGCTAACGCCGCTGCGGCCTGAAAGACGACGGGTATGACCG
-CCGGAGATAAATATATAGAGGTCATGATGAGTACTGAAATCAAAACTCAGGTCGTGGTACTTGGGGCAGG
-CCCCGCAGGTTACTCCGCTGCCTTCCGTTGCGCTGATTTAGGTCTGGAAACCGTAATCGTAGAACGTTAC
-AACACCCTTGGCGGTGTTTGCCTGAACGTCGGCTGTATCCCTTCTAAAGCACTGCTGCACGTAGCAAAAG
-TTATCGAAGAAGCCAAAGCGCTGGCTGAACACGGTATCGTCTTCGGCGAACCGAAAACCGATATCGACAA
-GATTCGTACCTGGAAAGAGAAAGTGATCAATCAGCTGACCGGTGGTCTGGCTGGTATGGCGAAAGGCCGC
-AAAGTCAAAGTGGTCAACGGTCTGGGTAAATTCACCGGGGCTAACACCCTGGAAGTTGAAGGTGAGAACG
-GCAAAACCGTGATCAACTTCGACAACGCGATCATTGCAGCGGGTTCTCGCCCGATCCAACTGCCGTTTAT
-TCCGCATGAAGATCCGCGTATCTGGGACTCCACTGACGCGCTGGAACTGAAAGAAGTACCAGAACGCCTG
-CTGGTAATGGGTGGCGGTATCATCGGTCTGGAAATGGGCACCGTTTACCACGCGCTGGGTTCACAGATTG
-ACGTGGTTGAAATGTTCGACCAGGTTATCCCGGCAGCTGACAAAGACATCGTTAAAGTCTTCACCAAGCG
-TATCAGCAAGAAATTCAACCTGATGCTGGAAACCAAAGTTACCGCCGTTGAAGCGAAAGAAGACGGCATT
-TATGTGACGATGGAAGGCAAAAAAGCACCCGCTGAACCGCAGCGTTACGACGCCGTGCTGGTAGCGATTG
-GTCGTGTGCCGAACGGTAAAAACCTCGACGCAGGCAAAGCAGGCGTGGAAGTTGACGACCGTGGTTTCAT
-CCGCGTTGACAAACAGCTGCGTACCAACGTACCGCACATCTTTGCTATCGGCGATATCGTCGGTCAACCG
-ATGCTGGCACACAAAGGTGTTCACGAAGGTCACGTTGCCGCTGAAGTTATCGCCGGTAAGAAACACTACT
-TCGATCCGAAAGTTATCCCGTCCATCGCCTATACCGAACCAGAAGTTGCATGGGTGGGTCTGACTGAGAA
-AGAAGCGAAAGAGAAAGGCATCAGCTATGAAACCGCCACCTTCCCGTGGGCTGCTTCTGGTCGTGCTATC
-GCTTCCGACTGCGCAGACGGTATGACCAAGCTGATTTTCGACAAAGAATCTCACCGTGTGATCGGTGGTG
-CGATTGTCGGTACTAACGGCGGCGAGCTGCTGGGTGAAATCGGCCTGGCAATCGAAATGGGTTGTGATGC
-TGAAGACATCGCACTGACCATCCACGCGCACCCGACTCTGCACGAGTCTGTGGGCCTGGCGGCAGAAGTG
-TTCGAAGGTAGCATTACCGACCTGCCGAACCCGAAAGCGAAGAAGAAGTAATTTTTCGTTTGCCGGAACA
-TCCGGCAATTAAAAAAGCGGCTAACCACGCCGCTTTTTTTACGTCTGCAATTTACCTTTCCAGTCTTCTT
-GCTCCACGTTCAGAGAGACGTTCGCGTACTGCTGACCGTTGCTCGTTATTCAGCCTGACAGTATGGTTAC
-TGTCGTTTAGACGTTGTGGGCGGCTCTCCTGAACTTTCTCCCGAAAAACCTGACGTTGTTCAGGTGATGC
-CGATTGAACACGCTGGCGGGCGTTATCACGTTGCTGTTGATTCAGTGGGCGCTGCTGTACTTTTTCCTTA
-AACACCTGGCGCTGCTCTGGTGATGCGGACTGAATACGCTCACGCGCTGCGTCTCTTCGCTGCTGGTTCT
-GCGGGTTAGTCTGCATTTTCTCGCGAACCGCCTGGCGCTGCTCAGGCGAGGCGGACTGAATGCGCTCACG
-CGCTGCCTCTCTTCGCTGCTGGATCTTCGGGTTAGTCTGCATTCTCTCGCGAACTGCCTGGCGCTGCTCA
-GGCGAGGCGGACTGATAACGCTGACGAGCGGCGTCCTTTTGTTGCTGGGTCAGTGGTTGGCGACGGCTGA
-AGTCGTGGAAGTCGTCATAGCTCCCATAGTGTTCAGCTTCATTAAACCGCTGTGCCGCTGCCTGACGTTG
-GGTATCTCGTGTAATGACTGGTGCGGCGTGTGTTCGTTGCTGAAACTGATTTGCTGCCGCCTGACGCTGG
-CTGTCGCGCGTTGGGGCAGGTAATTGCGTGGCGCTCATTCCGCCGTTGACATCGGTTTGATGAAACCGCT
-TTGCCATATCCTGATCATGATAGGGCACACCATTACGGTAGTTTGGATTGTGCCGCCATGCCATATTCTT
-ATCAGTAAGATGCTCACCGGTGATACGGTTGAAATTGTTGACGTCGATATTGATGTTGTCGCCGTTGTGT
-TGCCAGCCATTACCGTCACGATGACCGCCATCGTGGTGATGATAATCATCATCGTCATGATGATGATGGT
-CATGATCGTCGTCGTCCCAGTCGATGCTGCTGAATAGTGCGTACGTGGTAGCAACGCCCATGCTATAGCC
-GAATCCGCGTACAAAGCTGTCAACAAACGGTTCTCCGGCTGGTGGTGGCAGATAAACCGGCGGATACGCA
-GTATTGGCCCAGTTCCCGTAAACCACGGTTGGGTTGTAGTTGGGAATATAGACCACATCAGGATTGGCGG
-GCTCAATGGAAATGACGGTTGTTGCCGGCTCTGTAATGACGGGGTTGGCAGTTAAAACTGTATTGGATGG
-TATGACGGGTGCCGTGACTGTCTGTTTTACCGGTACAGCTTTCTTCGTTGTGGTAATAACTTTCTGTTCG
-GTTGATGACTTCAGCGAGCCGGTTTGTTGCGCCAGTTGCCGCAATCGCTGTACCGAGTCCATCACGTCCT
-GCGGCTGGGCCAGAAAAGCATCGCCCAGGTTTTGCACCCATTGCGGGTTTTCGCCCATCAATGCCATCAA
-TTGTGGAAAGGCCACCAGTGATTTAACGCTGGCGTCCCACGGCTGGTCAGATACCGCCTGAATAGCAGCA
-TCGCCTTGTTTAAGTGGATTATCGTGCGACCATTGCACTGCTTGAGCAACGTTTGTCGGATAGGTTGATG
-CCATCAGCACCTGCGAAAGTAGGGCGTCGGGATACAGCGCGACGGGCGCGACCCATTGATCTATTTGTGC
-AGTGCTGAATGCGGATTTGACGACGGCGGGTGTTACGGGAGGTGCGGAAACCGTTGCAGGAAACGTAACC
-GCGGCAGCGTCAGACACAGCCAGTTGTGTCGATTGCGGTTCCACAGGCGCTTCCACTGTGCGGCTTTTTA
-TATATAGCCCGGTAGAGGCGGCACAAAGCCCGGCACTGCAAATTAGCGCCAGCACATGGGGTTTAAACGG
-CAAAGTCATTTTCATAATTCGGATCTCAAGGAAATCGCAATGGTCGGCGAACTGCCACCCGCAGGTGCTG
-TGAATCCGAGTATAAAGAGGCGGTAGTTTAAATTTTGACTAATCTTGGGATTCGTTGAGAAAGGTGATTA
-TCACCATGCGAATTAACGAAGTTTTTACGGAGGGAAACAATCTCTAGACCATCCTTAACGATTCAGCCAC
-TTTTTTATGTTGCTTTTTTGTAAACAGATTAACACCTCGTCAAAATCCTGCTATTCTGCCCGTTGCGGTA
-CTGGGCATTTACCCTACAAACTGCTGTCTCACAGGAGCGTGAAGAGAATCGCCTGCCGCACTATGACAAT
-GAGAGCGAGGAGAACCGTCGTGCTAGAAGAATACCGTAAGCACGTAGCTGAGCGTGCCGCTGAGGGGATT
-GCGCCCAAACCCCTGGATGCAAACCAAATGGCCGCACTTGTAGAGCTGCTGAAAAACCCGCCCGCGGGCG
-AAGAAGAATTCCTGTTAGATCTGTTAACCAACCGTGTTCCCCCAGGCGTCGATGAAGCCGCCTATGTCAA
-AGCAGGCTTCCTGGCTGCTATCGCTAAAGGCGAAGCCAAATCCCCTCTGCTGACTCCGGAAAAAGCCATC
-GAACTGCTGGGCACCATGCAGGGTGGTTACAACATTCATCCGCTGATCGACGCGCTGGATGATGCCAAAC
-TGGCACCGATCGCTGCCAAAGCACTTTCTCACACACTGCTGATGTTCGATAACTTCTATGACGTAGAAGA
-GAAAGCGAAAGCAGGCAACGAATATGCGAAGCAGGTAATGCAGTCCTGGGCGGATGCCGAATGGTTCCTG
-AATCGCCCGGCGCTGGCTGAAAAACTGACCGTTACCGTCTTCAAAGTCACTGGCGAAACCAACACCGATG
-ACCTCTCTCCGGCACCGGATGCGTGGTCACGCCCGGATATCCCACTGCACGCGCTGGCGATGCTGAAAAA
-CGCCCGTGAAGGCATCGAGCCAGACCAGCCAGGTGTTGTTGGTCCGATCAAGCAAATCGAAGCTCTGCAA
-CAGAAAGGTTTCCCGCTGGCGTACGTCGGTGACGTTGTGGGTACGGGTTCATCGCGTAAATCCGCCACGA
-ACTCCGTACTGTGGTTTATGGGTGATGATATTCCACATGTGCCGAACAAACGCGGCGGTGGTTTGTGCCT
-CGGCGGTAAAATTGCACCAATCTTCTTTAACACAATGGAAGACGCAGGTGCACTGCCAATCGAAGTCGAC
-GTCTCTAACCTGAACATGGGCGACGTAATTGACGTTTACCCGTACAAAGGTGAAGTGCGTAACCACGAAA
-CCGGCGAACTGCTGGCGACCTTCGAACTGAAAACCGACGTGCTGATTGATGAAGTGCGTGCTGGCGGCCG
-TATTCCGCTGATTATTGGGCGTGGCCTGACCACCAAAGCGCGTGAAGCACTTGGTCTGCCGCACAGTGAT
-GTGTTCCGTCAGGCGAAAGATGTCGCTGAGAGCGATCGCGGCTTCTCGCTGGCGCAAAAAATGGTAGGCC
-GTGCCTGTGGCGTGAAAGGCATTCGTCCGGGCGCGTACTGCGAACCGAAAATGACTTCTGTAGGCTCTCA
-GGACACCACCGGCCCGATGACCCGTGATGAACTGAAAGACCTGGCGTGCCTGGGCTTCTCGGCTGACCTG
-GTGATGCAGTCTTTCTGCCACACCGCGGCGTATCCGAAGCCAGTTGACGTGAACACGCACCACACGCTGC
-CGGACTTCATTATGAACCGTGGCGGTGTGTCGCTGCGTCCGGGTGACGGCGTCATTCACTCCTGGCTGAA
-CCGTATGCTGCTGCCGGATACCGTCGGTACCGGTGGTGACTCCCATACCCGTTTCCCGATCGGTATCTCT
-TTCCCGGCGGGTTCTGGTCTGGTGGCGTTTGCTGCCGCAACTGGCGTAATGCCGCTGGATATGCCGGAAT
-CCGTTCTGGTGCGCTTCAAAGGCAAAATGCAGCCGGGCATCACCCTGCGCGATCTGGTACACGCGATCCC
-GCTGTATGCGATCAAACAAGGTCTGCTGACCGTTGAGAAGAAAGGCAAGAAAAACATCTTCTCTGGCCGC
-ATCCTGGAAATTGAAGGTCTGCCGGATCTGAAAGTTGAGCAGGCCTTTGAGCTAACCGATGCGTCCGCCG
-AGCGTTCTGCCGCTGGTTGTACCATCAAGCTGAACAAAGAACCGATCATCGAATACCTGAACTCTAACAT
-CGTCCTGCTGAAGTGGATGATCGCGGAAGGTTACGGCGATCGTCGTACCCTGGAACGTCGTATTCAGGGC
-ATGGAAAAATGGCTGGCGAATCCTGAGCTGCTGGAAGCCGATGCAGATGCGGAATACGCGGCAGTGATCG
-ACATCGATCTGGCGGATATTAAAGAGCCAATCCTCTGTGCACCGAACGACCCGGACGACGCACGTCCGCT
-GTCTGCGGTACAGGGCGAGAAGATCGACGAAGTGTTTATCGGTTCCTGCATGACCAACATCGGTCACTTC
-CGTGCTGCGGGTAAACTGCTGGATGCGCACAAAGGCCAGTTGCCGACGCGCCTGTGGGTGGCACCGCCAA
-CCCGTATGGATGCCGCGCAGTTGACCGAAGAAGGCTACTATAGCGTCTTCGGTAAGAGCGGTGCGCGTAT
-CGAGATCCCTGGCTGTTCCCTGTGTATGGGTAACCAGGCGCGTGTAGCAGACGGTGCGACGGTGGTTTCC
-ACCTCTACCCGTAACTTCCCGAACCGTCTGGGGACTGGCGCGAATGTCTTCCTGGCTTCTGCGGAACTGG
-CGGCTGTTGCGGCGCTGATTGGCAAACTGCCGACGCCGGAAGAGTACCAGACCTACGTGGCGCAAGTAGA
-TAAAACTGCCGTTGATACTTATCGTTATCTGAACTTCAACCAGCTTTCTCAGTACACCGAAAAAGCCGAT
-GGGGTGATTTTCCAGACTGCGGTTTAAAAAGTCAGCGCACGCGCTGCGCATAAACGACACAATGCTCGGG
-GAATGAGATTCCCGGGCATTTTTTATTTCTAAACCATCGCCGTTCCGCTGTTTTTCTCCGGTAAGGCTGC
-GATAATTACATCAATGGCGCAATGCGATTTCGGCGCATTGCCGGGAGCAGAGGAACACACTATGGATTAC
-GAATTTCTGCGCGATATTACCGGAGTGGTAAAGGTGCGTATGTCCATGGGGCATGAAGTGGTCGGGCACT
-GGTTTAATGAAGAGGTGAAAGAAAACCTGGCCTTGCTTGATGAAGTGGAACAAGCAGCGCACGCACTGAA
-AGGTAGCGAACGGTCCTGGCAACGGGCAGGGCATGAATACACCCTGTGGATGGACGGTGAAGAGGTGATG
-GTTCGCGCCAATCAACTGGAATTCGCTGGCGATGAAATGGAAGAGGGGATGAACTACTACGACGAAGAAA
-GCCTGTCGCTATGCGGCGTTGAGGATTTTCTGCAGGTCGTGGCGGCTTACCGCAATTTCGTGCAGCAGAA
-GTAAATAAATCTGGCGGAGCCTGGGAGCTCCGCCAGAGCCGTTAAACAGCTGGCATATTGCGCCCGTAAT
-AAATCTCGCGCATTTCTTTCCACAGCGCAGCGGTAATTTCCTGGCGCTCGCTGTCGGTTAAGTCTTCCGG
-TTTGGTGTGGAACATGTAGTGCTTAAGGTCGAACTCTTTAAGCAACATCTTGGTATGGAAGATATTTTCC
-TGATAGACGTTCACATCCACCATGTCATACAGCGCCTTCATATCGTCAGACATAAAGTTCTGAATCGAAT
-TAATCTCATGGTCGATAAAGTGCTTCATACCGTTAATGTCGCGGGTAAAACCGCGCACGCGATAATCAAT
-GGTTACGATATCGGACTCAAGCTGGTGGATCAGGTAATTCAGCGCCTTCAGCGGAGAAATCACGCCGCAG
-GTAGAGACTTCAATATCGGCGCGGAAGGTACATAAACCGCCTTCAGGATGACTTTCCGGGTAGGTATGTA
-CGCAAATATGACTTTTATCAAGATGGGCAACGACCGTTTCTGGCAGTGGGCCGGGGTGTTCTGTTTTGTC
-GATGAGTTTCGGGTCAACCGGTTCTTCACTCACCAGAATAGTGACGCTGGCACCCTGTGGTTCGTAATCC
-TGGCGGGCGATGTTAAGAATATTAGCCCCGATAATGGAACAGGTTTCTGACAGGATTTCGGTCAGACGGT
-TGGCATTATAGAGTTCATCGATATAAGCAATATAACCGTCGCGCTCTTCGGCAGTTTTGGCGTAGCAGAT
-ATCGTAAATACAAAAACTCAGACTTTTGGTCAGATTATTAAAGCCATGCAGTTTCAGTTTTTTCAATTTC
-TTATCTTCTCCTTAGGACGGCTGTGAAGCCAGTGCGTCTTGCAGATACTGAGGTAAGGCAAAAGCTGCCG
-TATGGATTGCCGGATTGTAATAACGGCATTTCAGGCCAGAGGCGAGAAAACGCGCCTGAATAATTTCGGT
-TGAGAGATGGCGTAAGGCGTCGTTATCTGTCGCCCATGCAAAAGTCATGATACCGCCGTAATAGGTCGGG
-ATCGCCGCCTGATAAAAGCCAACGTCGCTGAAGTAATGGCTGAGTTTGCGATGGCTGTCGATGGCTTCTT
-CCTGCTGTAAAAAGCAGACGCCGTTTTGTGCGACGAAGATACCGCCAGGATTCAGGCAACGTTTGCAGCC
-TTCATAAAATGCCGAAGTGAAAAGGCTTTCGCCGGGACCGATAGGATCGGTGCAGTCGGAGATAATGACA
-TCAAAGGTCTGGCTGGTTTGATTAACGAAATTGACGCCATCGTCGATCACCAGCTTAAAGCGCGGATCGT
-CGTAGCTACCGGCGTTATGGTTGGGTAGATACTGACGGCAGAACGATACGACACCCGCATCGATTTCCAC
-CATCGTGATTGACTCAACGTTTTTATGTCGGGTTACTTCACGCAGCATGGCACCGTCGCCGCCGCCGATA
-ATCAGCACATGTTTCGCGTGACCATGGGCCAGTAGCGGAACATGGGTCATCATCTCATGATAGATAAACT
-CGTCGCGCTCGGTGGTTTGTACTACGCCATCCAGCGCCATTACGCGACCAAATGCAGCGTTCTCAAAAAT
-GATCAGATCCTGGTGATCGGTCTTTTCATGATACAGAACGTTATCTACCGCAAAGTACTGCCCAAACTGG
-TCGTGTAGCGTTTCATGCCACTGTTTTTTTTCGGCCATGGGTTGATACCTCCTTTGTTAACACCCGTAAA
-AAAAGGGCGCAACATAATAGCTAACATTGACCGCGGATGCACGGTCAATATTTCTACAAAAAGGTATCAG
-GGATTATTTGACGTAGGCAAGCAGGCTTAAGGAATCGCGGGCCAGGGCTTTGCATTTTTTAGCGACGGGA
-ATGCCAATGCCGCTGAGATCGCGGTAGCTGTCTTCACCGAGGGCTTTCATGTCGAAGGTGTCGTAATTAC
-TGAGGTCCCACTGGTTTTGCTGAGCGAAAAAGACCAGTGCGCGACGAATTTGCCCGTTAGGTAAGTTCTG
-GTAACCACAATCGTTCTTCAGAAAGACAAAAACTGCCGTTAAATCGGCCATATCTTCGGCTTCAGACTCG
-CTGAGCGCGTAACTGTTTGCGCAGACGGCCATCAGGCTGCCGAATAACACTGTTCTGAAAAACGTCTTCA
-TTGCTTCTACCAGGGGCTTAAAGAAGATAAACGTTAGCACACTGCGAGCGAGGCGACGACCATTATTGTC
-GATTAAATTGTGTCTGCGGCTTGACCTTCCCGTAAGGGGAAGGACTATGCTCAACGTTTGATTTTGTTTC
-GCCTGCTTAAGAATAAGGAAATAACTATGCAACGTCGTGATTTCTTAAAATATTCCGTCGCGCTGGGTGT
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/02.fa b/anvio/tests/sandbox/mock_data_for_pangenomics/02.fa
deleted file mode 100644
index 4743e44c94..0000000000
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/02.fa
+++ /dev/null
@@ -1,2000 +0,0 @@
->g254160123
-AGCTTTTCATTCTGACTGCAACGGGCAATATGTCTCTGTGTGGATTAAAAAAAGAGTGTCTGATAGCAGC
-TTCTGAACTGGTTACCTGCCGTGAGTAAATTAAAATTTTATTGACTTAGGTCACTAAATACTTTAACCAA
-TATAGGCATAGCGCACAGACAGATAAAAATTACAGAGTACACAACATCCATGAAACGCATTAGCACCACC
-ATTACCACCACCATCACCATTACCACAGGTAACGGTGCGGGCTGACGCGTACAGGAAACACAGAAAAAAG
-CCCGCACCTGACAGTGCGGGCTTTTTTTTCGACCAAAGGTAACGAGGTAACAACCATGCGAGTGTTGAAG
-TTCGGCGGTACATCAGTGGCAAATGCAGAACGTTTTCTGCGGGTTGCCGATATTCTGGAAAGCAATGCCA
-GGCAGGGGCAGGTGGCCACCGTCCTCTCTGCCCCCGCCAAAATCACCAACCACCTGGTGGCGATGATTGA
-AAAAACCATTAGCGGCCAGGATGCTTTACCCAATATCAGCGATGCCGAACGTATTTTTGCCGAACTTTTG
-ACGGGACTCGCCGCCGCCCAGCCGGGATTCCCGCTGGCGCAATTGAAAACTTTCGTCGATCAGGAATTTG
-CCCAAATAAAACATGTCCTGCATGGCATTAGTTTGTTGGGGCAGTGCCCGGATAGCATCAACGCTGCGCT
-GATTTGCCGTGGCGAGAAAATGTCGATCGCCATTATGGCCGGCGTATTAGAAGCGCGCGGTCACAACGTT
-ACCGTTATCGATCCGGTCGAAAAACTGCTGGCAGTGGGGCATTACCTCGAATCTACCGTCGATATTGCTG
-AGTCCACCCGCCGTATTGCGGCAAGTCGCATTCCGGCTGATCACATGGTGCTGATGGCAGGTTTCACCGC
-CGGTAATGAAAAAGGCGAACTGGTGGTACTTGGACGCAACGGTTCCGACTACTCCGCGGCGGTGCTGGCT
-GCCTGTTTACGCGCCGATTGTTGCGAGATTTGGACGGACGTTGACGGGGTCTATACCTGCGACCCGCGTC
-AGGTGCCCGATGCGAGGTTGTTGAAGTCGATGTCCTACCAGGAAGCGATGGAGCTTTCCTACTTCGGCGC
-TAAAGTTCTTCACCCCCGCACCATTACCCCCATCGCCCAGTTCCAGATCCCTTGCCTGATTAAAAATACC
-GGAAATCCTCAAGCTCCAGGTACGCTCATTGGTGCCAGCCGTGATGAAGACGAATTACCGGTCAAGGGCA
-TTTCCAATCTGAATAATATGGCAATGTTCAGCGTTTCCGGCCCGGGGATGAAAGGGATGGTTGGCATGGC
-GGCGCGCGTGTTTGCAGCGATGTCACGCGCCCGTATTTCCGTGGTGCTGATTACGCAATCATCTTCCGAA
-TACAGTATCAGTTTCTGCGTTCCGCAAAGCGACTGTGTGCGAGCTGAACGGGCAATGCAGGAAGAGTTCT
-ACCTGGAACTGAAAGAAGGCTTACTGGAGCCGCTGGCGGTGACGGAACGGCTGGCCATTATCTCGGTGGT
-AGGTGATGGTATGCGCACCTTGCGTGGGATCTCGGCGAAATTCTTTGCCGCGCTGGCCCGCGCCAATATC
-AACATTGTCGCCATTGCTCAGGGATCTTCTGAACGCTCAATCTCTGTCGTGGTAAATAACGATGATGCGA
-CCACTGGCGTGCGCGTTACTCATCAGATGCTGTTCAATACCGATCAGGTTATCGAAGTGTTTGTGATTGG
-CGTCGGTGGCGTTGGCGGTGCGCTGCTGGAGCAACTGAAGCGTCAACAAAGCTGGCTGAAGAATAAACAT
-ATCGACTTACGTGTCTGCGGTGTTGCCAACTCGAAGGCACTGCTCACCAATGTGCATGGCCTAAATCTGG
-AAAACTGGCAGGAAGAACTGGCGCAAGCCAAAGAGCCGTTTAATCTCGGGCGCTTAATTCGCCTCGTGAA
-AGAATATCATCTGCTGAACCCGGTCATTGTTGACTGCACTTCCAGCCAGGCAGTGGCGGATCAATATGCC
-GACTTCTTGCGCGAAGGTTTCCACGTTGTCACGCCGAACAAAAAGGCCAACACCTCGTCGATGGATTACT
-ACCATCTGTTGCGTCATGCGGCGGAAAAATCGCGGCGTAAATTCCTCTATGACACCAACGTTGGGGCTGG
-ATTACCGGTTATTGAGAACCTGCAAAATCTGCTCAATGCTGGTGATGAATTGATGAAGTTCTCCGGCATT
-CTTTCAGGTTCGCTTTCTTATATCTTCGGCAAGTTAGACGAAGGCATGAGTTTCTCCGAGGCGACTACTC
-TGGCGCGGGAAATGGGTTATACCGAACCGGATCCGCGAGATGATCTTTCTGGTATGGATGTAGCGCGTAA
-GCTATTGATTCTCGCTCGTGAAACGGGACGTGAACTGGAGCTGGCGGATATTGAAATTGAACCTGTGCTG
-CCCGCAGAGTTTAACGCTGAGGGTGATGTTGCCGCTTTTATGGCGAATCTGTCACAGCTCGACGATCTCT
-TTGCCGCGCGCGTGGCGAAGGCCCGTGATGAAGGAAAAGTTTTGCGCTATGTTGGCAATATTGATGAAGA
-TGGTGCCTGCCGCGTGAAGATTGCCGAAGTGGATGGTAATGATCCGCTGTTCAAAGTGAAAAATGGCGAA
-AACGCCCTGGCCTTTTATAGCCACTATTATCAGCCGCTGCCGTTGGTGCTGCGCGGATATGGTGCGGGCA
-ATGACGTTACAGCTGCCGGTGTCTTTGCCGATCTGCTACGTACCCTCTCATGGAAGTTAGGAGTCTGACA
-TGGTTAAAGTTTATGCCCCGGCTTCCAGTGCCAATATGAGCGTCGGGTTTGATGTGCTCGGGGCGGCGGT
-GACACCTGTTGATGGTGCATTGCTCGGAGATGTAGTCACGGTTGAGGCGGCAGAGACATTCAGTCTCAAC
-AACCTCGGACGCTTTGCCGATAAGCTGCCGTCAGAACCACGGGAAAATATCGTTTATCAGTGCTGGGAGC
-GTTTTTGCCAGGAGCTTGGCAAGCAAATTCCAGTGGCGATGACTCTGGAAAAGAATATGCCAATCGGTTC
-GGGCTTAGGCTCCAGCGCCTGTTCGGTGGTCGCGGCGCTGATGGCGATGAATGAACACTGTGGCAAGCCG
-CTTAATGACACTCGTTTGCTGGCTTTGATGGGCGAGCTGGAAGGACGAATCTCCGGCAGCATTCATTACG
-ACAACGTGGCACCGTGTTTTCTTGGTGGTATGCAGTTGATGATCGAAGAAAACGACATCATCAGCCAGCA
-AGTGCCAGGGTTTGATGAGTGGCTGTGGGTGCTGGCGTATCCGGGGATTAAAGTCTCGACGGCAGAAGCC
-AGGGCTATTTTACCGGCGCAGTATCGCCGCCAGGATTGCATTGCGCACGGGCGACATCTGGCTGGCTTCA
-TTCACGCCTGCTATTCCCGTCAGCCTGAGCTTGCCGCGAAGCTGATGAAAGATGTTATCGCTGAACCCTA
-CCGTGAACGGTTACTGCCTGGCTTCCGGCAGGCGCGGCAGGCGGTTGCGGAAATCGGCGCGGTAGCGAGC
-GGTATCTCCGGCTCCGGCCCGACCTTGTTCGCTCTGTGTGACAAGCCGGATACCGCCCAGCGCGTTGCCG
-ACTGGTTGGGTAAGAACTACCTGCAAAATCAGGAAGGTTTTGTTCATATTTGCCGGCTGGATACGGCGGG
-CGCACGAGTACTGGAAAACTAAATGAAACTCTACAATCTGAAAGATCACAATGAGCAGGTCAGCTTTGCG
-CAAGCCGTAACCCAGGGGTTGGGCAAAAATCAGGGGCTGTTTTTTCCGCACGACCTGCCGGAATTCAGCC
-TGACTGAAATTGATGAGATGCTGAAGCTGGATTTTGTCACCCGCAGTGCGAAGATCCTCTCGGCGTTTAT
-TGGTGATGAAATCCCGCAGGAAATCCTGGAAGAGCGCGTGCGCGCGGCGTTTGCCTTCCCGGCTCCGGTC
-GCCAATGTTGAAAGCGATGTCGGTTGTCTGGAATTGTTCCACGGGCCAACGCTGGCATTTAAAGATTTCG
-GCGGTCGCTTTATGGCACAAATGCTGACCCATATTGCGGGCGATAAGCCAGTGACCATTCTGACCGCGAC
-CTCCGGTGATACCGGAGCGGCAGTGGCTCATGCTTTCTACGGTTTACCGAATGTGAAAGTGGTTATCCTC
-TATCCACGAGGCAAAATCAGTCCACTGCAAGAAAAACTGTTCTGTACATTGGGCGGCAATATCGAAACTG
-TTGCCATCGACGGCGATTTCGATGCCTGTCAGGCGCTGGTGAAGCAGGCGTTTGATGATGAAGAGCTGAA
-AGTGGCGCTGGGGTTAAACTCAGCTAACTCGATTAACATCAGCCGTTTGCTGGCGCAGATTTGCTACTAC
-TTTGAAGCAGTTGCGCAGCTGCCGCAGGAAGCGCGCAACCAGCTGGTTGTCTCGGTGCCAAGCGGAAACT
-TCGGCGATTTGACGGCGGGTCTGCTGGCGAAGTCACTCGGTCTGCCGGTGAAACGTTTTATTGCTGCGAC
-CAACGTGAACGATACCGTGCCACGTTTCCTGCACGACGGTCAGTGGTCACCCAAAGCGACTCAGGCGACG
-TTATCCAACGCGATGGACGTGAGTCAGCCGAACAACTGGCCGCGTGTGGAAGAGTTGTTCCGCCGCAAAA
-TCTGGCAACTGAAAGAGCTGGGTTATGCAGCCGTGGATGATGAAACCACGCAACAGACAATGCGTGAGTT
-AAAAGAACTGGGCTACACCTCGGAGCCGCACGCTGCCGTAGCGTATCGTGCGCTGCGTGACCAGTTGAAT
-CCAGGCGAATATGGCTTGTTCCTCGGCACCGCGCATCCGGCGAAATTTAAAGAGAGCGTGGAAGCGATTC
-TCGGTGAAACGTTGGATCTGCCAAAAGAGCTGGCAGAACGTGCTGATTTACCCTTGCTTTCACATAATCT
-GCCCGCCGATTTTGCTGCGTTGCGTAAATTGATGATGAATCATCAGTAAAATCTATTCATTATCTCAATC
-AGGCCGGGTTTGCTTTTATGCAGCCGGCTTTTTTATGAAGAAATTATGGAGAAAAACGACAGGGAAAAAG
-GAGAAATTCTCAATAAATGCGGTAACTTAGAGATTAGGATTGCGGAGAATAACAACCGTCGTTCTCATCG
-CGTAATCTCCGGATATCGACCCATAACGGGCAATGATAAAAGGAGTAACCTATGAAAAAGATGCAATCTA
-TCGTACTCGCACTTTCCCTGGTTCTGGTCGCTCCCATGGCAGCACAGGCTGCGGAAATTACGTTAGTCCC
-GTCAGTAAAATTACAGATAGGCGATCGTGATAATCGTGGCTATTACTGGGATGGAGGTCACTGGCGCGAC
-CACGGCTGGTGGAAACAACATTATGAATGGCGAGGCAATCGCTGGCACCCACACGGACCGCCGCCACCGC
-CGCGCCACCATAAGAAAGCTCCTCATGATCATCACGGCGGTCATGGTCCAGGCAAACATCACCGCTAAAT
-GACAAATGCCGGGTAACAATCCGGCATTCAGCGCCTGATGCGACGCTGGCGCGTCTTATCAGGCCTACGT
-GAATTCTGCAATATATTGAATCTGCATGCTTTTGTAGGCCGGATAAGGCGTTCACGCCGCATCCGGCATT
-GACTGCAAACTTAACGCTGCTCGTAGCGTTTAAACACCAGTTCGCCATTGCTGGAGGAAGCTTCATCAAA
-GAAGTAACCTTCGCTATTAAAACCAGTCAGTTGCTCTGGTTTGGTCAGCCGATTTTCAATAATAAAACGA
-CTCATCAGACCGCGTGCTTTCTTAGCGTAGAAGCTGATTATCTTAAATTTGCCGTTCTTCTCATCGAGGA
-ACACCGGCTTGATAATCTCGGCATTCAATTTCTTCGGCTTCACCGATTTAAAATACTCATCTGACGCCAG
-ATTAATCACCACATTATCGCCTTGTGCTGCGAGCGCCTCGTTCAGCTTGTTGGTGATGATATCTCCCCAG
-AATTGATACAGATCTTTCCCTCGGGCATTCTCAAGACGGATCCCCATTTCCAGACGATAAGGCTGCATTA
-AATCGAGCGGGCGCAGTACGCCATACAAGCCGGAAAGCATTCGCAAATGCTGTTGGGCAAAATCGAAATC
-GTCTTCGCTGAAGGTTTCGGCCTGCAAGCCGGTGTAGACATCACCTTTAAACGCCAGAATCGCCTGGCGG
-GCATTCTCCGGCGTGAAATCTGGCTGCCAGTCATGAAAGCGAGCGGCGTTGATACCCGCCAGTTTGTCGC
-TGATGCGCATCAGCGTGCTAATCTGCGGAGGCGTCAGTTTCCGCGCTTCATGGATCAACTGCTGGGAATT
-GTCTAACAGCTCCGGCAGCGTATAGCGCGTGGTGGTCAACGGGCTTTGGTAATCAAGCGTTTTCGCAGGT
-GAAATAAGAATCAGCATATCCAGTCCTTGCAGGAAATTTATGCCGACTTTAGCAAAAAAAGAGAATGAGT
-TGATCGATAGTTGTGATTACTCCTGCGAAACATCATCCCACGCGTCCGGAGAAAGCTGGCGGCCGATATC
-CGGATAACGCAACGGATCAAACACCGGGCGCACGCCGAGTTTACGCTGGCGTAGATAATCACTGGCAATG
-GTATGAACCACAGGCGAGAGCAGTAAAATGGCGGTCAAATTGGTAATAGCCATGCAGGCCATTATGATAT
-CTGCCAGTTGCCACATCAGCGGAAGACTTAGCAAGGTGCCGCCGATGACCGTTGCGAAGGTGCAGATCCG
-CAAACACCAGATCGCTTTAGGGTTGTTCAGGCGTAAAAAGAAGAGATTGTTTTCGGCGTAAATGTAGTTG
-GCAACGATGGAGCTGAAGGCAAACAGAATAACCACGAGGGTAACAAACTCAGCACCCCAGGAACCCATTA
-ACACCCGCATCGCCTTCTGGATAAGCTGAATACCTTCCAGCGGCATGTAGGTTGTGCCGTTACCCGCCAG
-TAATATCAGCATGGCGCTTGCCGTACAGATGACCAGGGTGTCGATAAAAATGCCAATCATCTGGACAATC
-CCTTGCGCTGCCGGATGCGGAGGCCAGGACGCCGCTGCCGCTGCCGCGTTTGGCGTCGACCCCATTCCCG
-CCTCATTGGAAAACATACTGCGCTGAAAACCGTTAGTAATCGCCTGGCTTAAGGTATATCCCGCCGCGCC
-GCCTGCCGCTTCCTGCCAGCCAAAAGCACTCTCAAAAATAGACCAAATGACGTGGGGAAGTTGCCCGATA
-TTCATTACGCAAATCACCAGGCTGGTCAGTACCCAGATTATCGCCATCAACGGGACAAACCCCTGCATGA
-GCCGGGCGACGCCATGAAGACCGCGAGTGATCGCCAGCAGAGCAAAGACAGCGAGAATAATACCTGTCAC
-CAGCGGGGGAAAATCAAAAGAAAAACTCAGGGCTCGCGCAACGGCGTTCGCCTGAATTCCGCTGAAAATT
-ATGCCGTAGGCGATGAGCAAAAAGACGGCGAACAGAACGCCCATCCAGCGCATCCCCAGCCCGCGCGCCA
-TATACCATGCCGGTCCGCCACGAAACTGCCCATTGGCATCACGTTCTTTATAAAGCTGTGCGAGGGAACA
-TTCGGCAAACGAGGTCGCCATGCCGATAAACGCGGCAACCCACATCCAGAAGACGGCTCCAGGTCCACCG
-GCGGTAATTGCCAGCGCAACGCCGGCCAGGTTGCCGCTACCCACGCGCGCCGCAAGACTGGTACACAATG
-ACTGAAATGAGGTTAAACCGCCTGGCTGTGGATGAATGCTATTTTTAAGACTTTTGCCAAACTGGCGGAT
-GTAGCGAAACTGCACAAATCCGGTGCGAAAAGTGAACCAACAACCTGCGCCGAAGAGCAGGTAAATCATT
-ACCGATCCCCAAAGGACGCTGTTAATAAAGGAGAAAAAATCTGGCATGCATATCCCTCTTATTGCCGGTC
-GCGATGACTTTCCTGTGTAAACGTTACCAATTGTTTAAGAAGTATATACGCTACGAGGTACTTGATAACT
-TCTGCGTAGCATACATGAGGTTTTGTATAAAAATGGCGGGCGATATCAACGCAGTGTCAGAAATCCGAAA
-CAGTCTCGCCTGGCGATAACCGTCTTGTCGGCGGTTGCGCTGACGTTGCGTCGTGATATCATCAGGGCAG
-ACCGGTTACATCCCCCTAACAAGCTGTTTAAAGAGAAATACTATCATGACGGACAAATTGACCTCCCTTC
-GTCAGTACACCACCGTAGTGGCCGACACTGGGGACATCGCGGCAATGAAGCTGTATCAACCGCAGGATGC
-CACAACCAACCCTTCTCTCATTCTTAACGCAGCGCAGATTCCGGAATACCGTAAGTTGATTGATGATGCT
-GTCGCCTGGGCGAAACAGCAGAGCAACGATCGCGCGCAGCAGATCGTGGACGCGACCGACAAACTGGCAG
-TAAATATTGGTCTGGAAATCCTGAAACTGGTTCCGGGCCGTATCTCAACTGAAGTTGATGCGCGTCTTTC
-CTATGACACCGAAGCGTCAATTGCGAAAGCAAAACGCCTGATCAAACTCTACAACGATGCTGGTATTAGC
-AACGATCGTATTCTGATCAAACTGGCTTCTACCTGGCAGGGTATCCGTGCTGCAGAACAGCTGGAAAAAG
-AAGGCATCAACTGTAACCTGACCCTGCTGTTCTCCTTCGCTCAGGCTCGTGCTTGTGCGGAAGCGGGCGT
-GTTCCTGATCTCGCCGTTTGTTGGCCGTATTCTTGACTGGTACAAAGCGAATACCGATAAGAAAGAGTAC
-GCTCCGGCAGAAGATCCGGGCGTGGTTTCTGTATCTGAAATCTACCAGTACTACAAAGAGCACGGTTATG
-AAACCGTGGTTATGGGCGCAAGCTTCCGTAACATCGGCGAAATTCTGGAACTGGCAGGCTGCGACCGTCT
-TACCATCGCACCTACACTGCTGAAAGAGCTGGCTGAGAGCGAAGGGGCTATCGAACGTAAACTGTCTTAC
-ACCGGCGAAGTGAAAGCGCGTCCGGCGCGTATCACTGAGTCCGAGTTCCTGTGGCAGCACAACCAGGATC
-CAATGGCAGTAGATAAACTGGCGGAAGGTATCCGTAAGTTTGCTATTGACCAGGAAAAACTGGAAAAAAT
-GATCGGCGATCTGCTGTAATCATTCTTAGCGTGACCGGGAAGTCGGTCACGCTACCTCTTCTGAAGCCTG
-TCTGTCACTCCCTTCGCAGTGTATCATTCTGTTTAACGAGACTGTTTAAACGGAAAAATCTTGATGAATA
-CTTTACGTATTGGCTTAGTTTCCATCTCTGATCGCGCATCCAGCGGCGTTTATCAGGATAAAGGCATCCC
-TGCGCTGGAAGAATGGCTGACATCGGCGCTAACCACGCCGTTTGAACTGGAAACCCGCTTAATCCCCGAT
-GAGCAGGCGATCATCGAGCAAACGTTGTGTGAGCTAGTGGATGAAATGAGTTGCCATCTGGTGCTCACCA
-CGGGCGGAACTGGCCCGGCGCGTCGTGACGTAACGCCCGATGCGACGCTGGCAGTAGCGGACCGCGAGAT
-GCCTGGCTTTGGTGAACAGATGCGCCAGATAAGCCTGCATTTTGTACCAACTGCGATCCTTTCGCGTCAG
-GTTGGTGTGATTCGCAAACAGGCGCTGATCCTTAACTTACCCGGTCAGCCGAAGTCTATTAAAGAGACGC
-TGGAAGGTGTGAAGGACGCTGCGGGTAACGTTGTGGTACACGGTATTTTTGCCAGCGTACCGTACTGCAT
-TCAGTTGCTGGAAGGGCCATACGTTGAAACGGCACCAGAAGTGGTTGCTGCATTCAGACCGAAGAGTGCA
-AGACGCGACGTTAGCGAATAAAAAAATCCCCCCGAGCGGGGGGATCTCAAAACAATTAGTGGGATTCACC
-AATCGGCAGAACGGTGCGACCAAACTGCTCGTTCAGTACTTCACCCATCGCCAGATAGATTGCACTGGCA
-CCACAGATCAGACCAATCCAGCCGGCAAAGTGGATGATTGCGGCGTTACCGGCAATGTTACCGATCGCCA
-GCAGGGCAAACAGCACAGTCAGGCTAAAGAAAACGAATTGCAGAACGCGTGCGCCTTTCAGCGTGCCGAA
-GAACATAAACAGCGTAAATACGCCCCACAGACCCAGGTAGACACCAAGGAACTGTGCATTTGGCGCATCG
-GTCAGACCCAGTTTCGGCATCAGCAGAATCGCAACCAACGTCAGCCAGAAAGAACCGTAAGAGGTGAATG
-CGGTTAAACCGAAAGTGTTGCCTTTTTTGTACTCCAGCAGACCGGCAAAAATTTGCGCGATGCCGCCGTA
-GAAAATGCCCATGGCAAGAATAATACCGTCCAGAGCGAAATAACCCACGTTGTGCAGGTTAAGCAGAATG
-GTGGTCATGCCGAAGCCCATCAGGCCCAGCGGTGCCGGATTAGCCAACTTAGTGTTGCCCATAATTCCTC
-AAAAATCATCATCGAATGAATGGTGAAATAATTTCCCTGAATAACAGTAGTGTTTTCAGGGCGCGGCATA
-ATAATCAGCCAGTGGGGCAGTGTCTACGATCTTTTGAGGGGAAAATGAAAATTTTCCCCGGTTTACGGTG
-TCAGACCTGAGTGGCGCTAACCATCCGGCGCAGGCAGGCGATTTGCAGTACGGCTGGAATTGTCACGCGA
-TAGGCACTGCCGCTGACCGCTTTAACCCCATTTAATGCTGCGCCCACAGGGCCTCCCAGACCCGCGCCGC
-GCAGCAAACCATGCCCAAGCACGCTCATTGCTGCGTGGGTGCGTAAAATGCGGGTCAATTGGCTGGAAAG
-CAAATGCGACACGCCTTTTGCCAATAATTTGTCTTTCATCAGCAGCGGCAGCAGCTCTTCCAGCTCATTC
-ACCCTGGCATCGACCGCGTGCAGAAACTCCTGCTTATGTTCCTCGTCCATATTCTTCCAGGTGTTACGCA
-GAAATTGTTCCAGTAACTGTTGCTCAATCTCAAACGTAGACATCTCTTTGTCGGCTTTCAGCTTCAATCG
-TTTTGAAACATCGAGCAAAATGGCCCGATACAATTTACCGTGTCCGCGCAGTTTGTTGGCGATACTATCG
-CCACCAAAATGCTGTAATTCTCCAGCAATCAGCTGCCAGTTGCGGCGATGTTGCTCGGGATGCCCTTCCA
-TCGATTTAAACAGTTCGTTGCGTATCAGTACGCTGGAGAGGCGAGTTTTGCCTTTTTCATTATGGGTGAG
-CAATCGGGCGAAATTTGCCAACTGTTCCTCACTACAATGCTGAAGAAAATCCAGATCTGAATCATTCAGG
-TAATTAACATTCATTTTTTGTGGTTTCTATATTCTGGCGTTAGTCGTCGCCGATAATTTTCAGCGTGGCC
-ATATCCGATGAGTTCACCGTATGACCGGAAAAGGTGATTTTTGAGACGCAGCGTTTATTGTCGTTATCAC
-TGTTAATGTTGATCCAGTCAGTGGTTTGCCCTTCTTTTATTTCTGAAGGAATATTCAGACTCTGACTGGC
-GCTACGGGCGGCTTTGAAATAAACCGATGCACCGCTTAACTGTAAATCGCCATGGTCGGCAGAGAGTTGT
-ATGCGTTTCACAATGCGACAAACAGGAAGTTTCAGCGCCAGATCGTTGGTTTCGTTACGCGGCATTGCAA
-TGACGCCGAGGAGTTTATGGTCGTTTGCCTGCGCCGTGCAGCACAGCATCAGGCTAATCGCCAGGCTGGC
-GGAAATCGTAAAAACGGATTTCATAAGGATTCTCTTAGTGGGAAGAGGTAGAGGGATGAATACCCACTAG
-TTTACTGCTGATAAAGAGAAGGTTCAGGTACGTAATCTTTTCTTTTTATTACAATTTTTTGATGAATGCC
-TTGGCTGCGATTCATTCTTTATCTGAATAAAATTGCTGTCAATTTTACGTCTTGTCCTGCCATATCGCGA
-AATTTCTGCGCAAAAGCACAAAAAATTTTTGCATCTCCCCCTTGATGACGTGGGTTACGACCCCATTTAG
-TAGTCAACCGCAGTGAGTGAGTCTGCAAAAAAATGAAATTGGGCAGTTGAAACCAGACGTTTCGCCCCTA
-TTACAGACTCACAACCACATGATGACCGAATATATAGTGGAGACGTTTAGATGGGTAAAATAATTGGTAT
-CGACCTGGGTACTACCAACTCTTGTGTAGCGATTATGGATGGCACCACTCCTCGTGTGCTGGAGAACGCC
-GAAGGCGATCGCACCACGCCTTCTATCATTGCCTATACCCAGGATGGTGAAACTCTGGTTGGTCAGCCGG
-CTAAACGTCAGGCAGTGACGAACCCGCAAAACACCCTGTTTGCGATTAAACGCCTGATTGGCCGCCGCTT
-CCAGGACGAAGAAGTACAGCGTGATGTTTCCATCATGCCGTTCAAAATTATTGCTGCTGATAACGGCGAC
-GCATGGGTCGAAGTTAAAGGCCAGAAAATGGCACCGCCGCAGATCTCTGCTGAAGTGCTGAAAAAAATGA
-AGAAAACCGCTGAAGATTACCTGGGTGAACCGGTAACTGAAGCTGTTATCACCGTACCGGCATACTTTAA
-CGATGCTCAGCGTCAGGCAACCAAAGACGCAGGCCGTATCGCTGGTCTGGAAGTAAAACGTATCATCAAC
-GAACCGACCGCAGCTGCGCTGGCTTACGGTCTGGACAAAGGTACTGGCAACCGTACTATCGCGGTTTATG
-ACCTGGGTGGTGGTACTTTCGATATTTCTATTATCGAAATCGACGAAGTTGACGGCGAAAAAACCTTCGA
-AGTTCTGGCAACCAACGGTGATACCCACCTGGGTGGTGAAGACTTCGACAGCCGTCTGATCAACTACCTG
-GTTGAAGAATTCAAGAAAGATCAGGGCATTGACCTGCGCAACGATCCGCTGGCAATGCAGCGCCTGAAAG
-AAGCGGCAGAAAAAGCGAAAATCGAACTGTCTTCCGCTCAGCAGACCGACGTTAACCTGCCGTACATCAC
-TGCAGATGCGACCGGTCCGAAACACATGAACATCAAAGTGACTCGTGCGAAACTGGAAAGCCTGGTTGAA
-GATCTGGTAAACCGTTCCATTGAGCCGCTGAAAGTTGCACTGCAGGACGCTGGCCTGTCCGTATCTGATA
-TCGACGACGTTATCCTCGTTGGTGGTCAGACTCGTATGCCAATGGTTCAGAAGAAAGTTGCTGAGTTCTT
-TGGTAAAGAGCCGCGTAAAGACGTTAACCCGGACGAAGCTGTAGCAATCGGTGCTGCTGTTCAGGGTGGT
-GTTCTGACTGGTGACGTGAAAGACGTACTGCTGCTGGACGTTACCCCGCTGTCTCTGGGTATCGAAACCA
-TGGGCGGTGTGATGACGACGCTGATCGCGAAAAACACCACTATCCCGACCAAGCACAGCCAGGTGTTCTC
-TACCGCTGAAGACAACCAGTCTGCGGTAACCATCCATGTGCTGCAGGGTGAACGTAAACGTGCGGCTGAT
-AACAAATCTCTGGGTCAGTTCAACCTGGATGGTATCAACCCGGCACCGCGCGGCATGCCGCAGATCGAAG
-TTACCTTCGATATCGATGCTGACGGTATCCTGCACGTTTCCGCGAAAGATAAAAACAGCGGTAAAGAGCA
-GAAGATCACCATCAAGGCTTCTTCTGGTCTGAACGAAGATGAAATCCAGAAAATGGTACGCGACGCAGAA
-GCTAACGCCGAAGCTGACCGTAAGTTTGAAGAGCTGGTACAGACTCGCAACCAGGGCGACCATCTGCTGC
-ACAGCACCCGTAAGCAGGTTGAAGAAGCAGGCGACAAACTGCCGGCTGACGACAAAACTGCTATCGAGTC
-TGCACTGACTGCACTGGAAACTGCTCTGAAAGGTGAAGACAAAGCCGCTATCGAAGCGAAAATGCAGGAG
-CTGGCACAGGTTTCCCAGAAACTGATGGAAATCGCCCAGCAGCAACATGCCCAGCAGCAGACTGCCGGTG
-CTGATGCTTCTGCAAACAACGCGAAAGATGACGATGTTGTCGACGCTGAATTTGAAGAAGTCAAAGACAA
-AAAATAATCGCCCTATAAACGGGTAATTATACTGACACGGGCGAAGGGGAATTTCCTCTCCGCCCGTGCA
-TTCATCTAGGGGCAATTTAAAAAAGATGGCTAAGCAAGATTATTACGAGATTTTAGGCGTTTCCAAAACA
-GCGGAAGAGCATGAAATCAAAAAGGCCTACAAACGCCTGGCCATGAAATACCACCCGGACCGTAACCAGG
-GTGACAAAGAGGCCGAGGCGAAATTTAAAGAGATCAAGGAAGCTTATGAAGTTCTGACCGACTCGCAAAA
-ACGTGCGGCATACGATCAGTATGGTCATGCTGCGTTTGAGCAAGGTGGTATGGGCGGCGGCGGTTTTGGC
-GGCGGCGCAGACTTCAGCGATATTTTTGGTGACGTTTTCGGCGATATTTTTGGCGGCGGACGTGGTCGTC
-AACGTGCGGCGCGCGGTGCTGATTTACGCTATAACATGGAGCTCACCCTCGAAGAAGCTGTACGTGGCGT
-GACCAAAGAGATCCGCATTCCGACTCTGGAAGAGTGTGACGTTTGCCACGGTAGCGGTGCAAAACCAGGT
-ACACAGCCGCAGACCTGTCCGACCTGTCATGGTTCTGGTCAGGTGCAGATGCGTCAGGGATTCTTTGCCG
-TGCAGCAGACCTGTCCACACTGTCAGGGCCGCGGTACGCTGATCAAAGATCCGTGCAACAAATGTCATGG
-TCATGGTCGTGTTGAGCGCAGCAAAACGCTGTCCGTTAAAATCCCGGCAGGGGTGGACACTGGAGACCGC
-ATCCGTCTTGCGGGCGAAGGTGAAGCGGGCGAGCATGGCGCACCGGCAGGCGATCTGTACGTTCAGGTTC
-AGGTTAAACAGCACCCGATTTTCGAGCGTGAAGGCAACAACCTCTATTGCGAAGTCCCGATCAACTTCGC
-TATGGCGGCGCTGGGTGGCGAAATCGAAGTACCGACCCTTGATGGTCGCGTCAAACTGAAAGTGCCTGGC
-GAAACCCAGACCGGTAAGCTTTTCCGTATGCGCGGTAAAGGCGTCAAGTCTGTCCGCGGTGGCGCACAGG
-GTGATTTGCTGTGCCGCGTTGTCGTCGAAACACCGGTAGGCCTGAACGAGAAGCAGAAACAGCTGCTGCA
-AGAGCTGCAAGAAAGCTTCGGTGGCCCAACCGGTGAGCACAACAGCCCGCGCTCAAAGAGCTTCTTTGAT
-GGTGTGAAGAAGTTTTTTGACGACCTGACCCGCTAACCTCCCCAAAAGCCTGCCCGTGGGCAGGCTTGGG
-TAAAATTAGGGTGCGTTGAAGATATGCGAGCACCTGAAAAGTGGCGGGGATCACTCCCATAAGCGCTAAC
-TTAAGGGTTGTGGTATTACGCCTGATATGATTTAACGTGCCGATGAATTACTCTCACGATAACTGGTCAG
-CAATTCTGGCCCATATTGGTAAGCCCGAAGAACTGGATACTTCGGCACGTAATGCCGGGGCTCTAACCCG
-CCGCCGCGAAATTCGTGATGCTGCAACTCTGCTACGTCTGGGGCTGGCTTACGGCCCCGGGGGGATGTCA
-TTACGTGAAGTCACTGCATGGGCTCAGCTCCATGACGTTGCAACATTATCTGACGTGGCTCTCCTGAAGC
-GGCTGCGGAATGCCGCCGACTGGTTTGGCATACTTGCCGCACAAACACTTGCTGTACGCGCCGCAGTTAC
-GGGTTGTACAAGCGGAAAGAGATTGCGTCTTGTCGATGGAACAGCAATCAGTGCGCCCGGGGGCGGCAGC
-GCTGAATGGCGACTACATATGGGATATGATCCTCATACCTGTCAGTTCACTGATTTTGAGCTAACCGACA
-GCAGAGACGCTGAACGGCTGGACCGATTTGCGCAAACGGCAGACGAGATACGCATTGCTGACCGGGGATT
-CGGTTCGCGTCCCGAATGTATCCGCTCACTTGCTTTTGGAGAAGCTGATTATATCGTCCGGGTTCACTGG
-CGAGGATTGCGCTGGTTAACTGCAGAAGGAATGCGCTTTGACATGATGGGTTTTCTGCGCGGGCTGGATT
-GCGGTAAGAACGGTGAAACCACTGTAATGATAGGCAATTCAGGTAATAAAAAAGCCGGAGCTCCCTTTCC
-GGCACGTCTCATTGCCGTATCACTTCCTCCCGAAAAAGCATTAATCAGTAAAACCCGACTGCTCAGCGAG
-AATCGTCGAAAAGGACGAGTAGTTCAGGCGGAAACGCTGGAAGCAGCGGGCCATGTGCTATTGCTAACAT
-CATTACCGGAAGATGAATATTCAGCAGAGCAAGTGGCTGATTGTTACCGTCTGCGATGGCAAATTGAACT
-GGCTTTTAAGCGGCTCAAAAGTTTGCTGCACCTGGATGCTTTGCGTGCAAAGGAACCTGAACTCGCGAAA
-GCGTGGATATTTGCTAATCTACTCGCCGCATTTTTAATTGACGACATAATCCAGCCATCGCTGGATTTCC
-CCCCCAGAAGTGCCGGATCCGAAAAGAAGAACTAACTCGTTGTGGAGAATAACAAAAATGGTCATCTGGA
-GCTTACAGGTGGCCATTCGTGGGACAGTATCCCTGACAGCCTACAAAACGCAATTGAAGAACGCGAGGCA
-TCGTCTTAACGAGGCACCGAGGCGTCGCATTCTTCAGATGGTTCAACCCTTAAGTTAGCGCTTATGGGAT
-CACTCCCCGCCGTTGCACTTACTCGGATTCGTAAGCCGTGAAAACAGCAACCTCCGTCTGGCCAGTTCGG
-ATGTGAACCTCACAGAGGTCTTTTCTCGTTACCAGCGCCGCCACTACGGCGGTGATACAGATGACGATCA
-GGGCGACAATCATCGCCTTATGCTGCTTCATTGCTCTCTTCTCCTTGACCTTACGGTCAGTAAGAGGCAC
-TCTACATGTGTTCAGCATATAGGGGGCCTCGGGTTGATAGTAAAATATCACTCGGGGCTTTTCTCTATCT
-GCCGTTCAGCTAATGCCTGAGACAGATAGCCTCAAGCACCCGCCGCTATTATATCGCTCTCTTTAACCCA
-TTCTGTTTTATCGATTCTAATCCTGAAGACGCCTCGCATTTTTGTGGCGTAATTTTTTAATGATTTAATT
-ATTTAACTTTAATTTATCTCTTTATCGCAATTATTGACGACAAGCTGGATTATTTTTGAAATATTGTCCT
-AACAAATAACGCCGACTGACAAGAAATTAATTATTACTTTTCCTAATTAATCCCTCAGAAATCCTCACCT
-TAAGCTATGATTATCTGGGCTTAGGGTCACTCGTGAGCGCTTACAGCCGTCAAAAAACTCATCTCACCGC
-TGATGGCGCAAATTCTTCAATGGATCGTAAAAAACGAGTTATTCCTACACTATAATCTGATTTTAACGAT
-GATTTGTGCGGGGTAAAATAGTAAAAACGATCTATTCACCTGAAAGAGAAATAAAAAGTGAAACATCTGC
-ATCGATTCTTTAGCAGTGATGCCTCGGGAGGCATTATTCTTATCATTGCCGCTATCCTGGCGATGATTAT
-GGCCAATAGCGGCGCAACCAGTGGATGGTATCACGACTTTCTGGAGACGCCGGTTCAGCTCCGGGTTGGT
-TCACTCGAAATCAACAAAAACATGCTGTTATGGATAAATGACGCGCTGATGGCGGTATTTTTCCTGTTAG
-TCGGTCTGGAAGTTAAACGTGAACTGATGCAAGGATCGCTAGCCAGCTTACGCCAGGCCGCATTTCCAGT
-TATCGCCGCTATTGGTGGGATGATTGTTCCGGCATTACTCTATCTGGCCTTTAACTATGCCGATCCGATT
-ACCCGCGAAGGGTGGGCGATCCCGGCGGCTACTGACATTGCCTTTGCACTTGGTGTGCTGGCGCTGTTGG
-GAAGTCGTGTTCCGTTAGCGCTGAAGATCTTTTTGATGGCTCTGGCTATTATCGACGATCTTGGGGCCAT
-CATTATCATCGCATTGTTCTACACTAATGACTTATCGATGGCCTCTCTTGGCGTCGCGGCTGTAGCAATT
-GCGGTACTCGCGGTATTGAATCTGTGTGGTGTACGCCGCACGGGCGTCTATATTCTGGTTGGCGTAGTGT
-TGTGGACTGCGGTGTTGAAATCGGGGGTTCACGCAACCCTGGCGGGGGTAATTGTCGGCTTCTTTATTCC
-TTTGAAAGAGAAGCATGGGCGTTCTCCAGCGAAGCGACTGGAGCATGTGTTACACCCGTGGGTGGCGTAT
-CTGATTTTGCCGCTGTTTGCATTTGCTAATGCTGGCGTTTCACTGCAAGGTGTCACGCTGGATGGCTTGA
-CCTCCATTCTGCCATTGGGGATCATCGCTGGCTTGCTGATTGGCAAACCGCTGGGGATTAGTCTGTTCTG
-CTGGTTGGCGCTGCGTTTGAAACTGGCGCATCTGCCTGAGGGAACGACTTATCAGCAAATTATGGCGGTG
-GGGATCCTGTGCGGTATCGGTTTTACTATGTCTATCTTTATTGCCAGCCTGGCCTTTGGTAGCGTAGATC
-CAGAACTGATTAACTGGGCGAAACTCGGTATCCTGGTCGGTTCTATCTCTTCGGCGGTAATTGGATACAG
-CTGGTTACGCGTTCGTTTGCGTCCATCAGTTTGACAGGACGGTTTACCGGGGAGCCATAAACGGCTCCCT
-TTTCATTGTTATCAGGGAGAGAAATGAGCATGTCTCATATCAATTACAACCACTTGTATTACTTCTGGCA
-TGTCTATAAAGAAGGTTCCGTGGTTGGCGCAGCGGAGGCGCTTTATTTAACTCCACAAACCATTACCGGA
-CAGATTCGAGCGCTGGAAGAGCGCCTGCAAGGCAAATTATTTAAACGCAAGGGACGTGGTCTCGAACCCA
-GCGAGCTGGGAGAACTGGTCTATCGCTATGCCGATAAAATGTTCACCTTAAGCCAGGAAATGCTGGATAT
-TGTGAACTATCGCAAAGAATCCAATTTATTGTTTGACGTTGGTGTGGCTGATGCACTTTCCAAACGCCTG
-GTCAGTAGCGTACTTAACGCCGCAGTGGTAGAAGGCGAGCCCATTCATCTTCGCTGCTTCGAATCCACCC
-ACGAAATGCTGCTGGAGCAATTAAGTCAGCATAAACTGGATATGATCATTTCTGACTGTCCGATAGACTC
-TACGCAGCAGGAAGGCCTGTTCTCCGTGAGAATTGGCGAATGTGGCGTGAGTTTCTGGTGTACAAATCCA
-CCACCAGAAAAACCGTTCCCGGCTTGTCTGGAAGAACGGCGACTTTTGATTCCTGGGCGACGTTCAATGT
-TAGGGCGCAAATTGCTTAACTGGTTTAACTCCCAGGGATTAAACGTAGAAATCCTCGGCGAGTTTGATGA
-TGCCGCGTTGATGAAAGCTTTTGGTGCGATGCACAATGCAATCTTCGTTGCCCCAACGCTTTATGCATAT
-GACTTTTATGCCGATAAAACTGTCGTAGAAATTGGTCGCGTCGAGAATGTGATGGAAGAGTACCATGCTA
-TTTTTGCTGAGCGGATGATTCAGCACCCGGCGGTACAGCGAATCTGCAATACGGATTATTCTGCGCTTTT
-TAGTCCAGCGGCGCGTTAATCGGCACCTCCCCCCAAAGTTAAGGTGGGGGAGATAGATTAGTTGTACATA
-ACCACGATTTTGACTCGGCTCATTATTTGCCCGCTTGAGACATTATTTCCATATGTACGCGGGCGAATAA
-ATAGAGGAATCTGATTACTTCCTTCATGGGGATGCTGAAAAGAGTAGTAATTGCTTTTACCATACTGGAT
-TTCATTCGTACCATCATTGGAGAGTTGAAAGCCTACTTGACCCGCACCGTCCTCACTGTTTTCTAACTCA
-TTTTTTAATATGCTGGTTCCTGACTCCTGTATCGTCACTGGTTCAAAGTAATATTCAACATCACTGGGTT
-CAAAAACTAATTCACCTTGCTCGCCCTGGATGCAGTCAAATCTTATATGATGAAACTGATAATTTTCATT
-ATTGATACGAGACAGTACAAATCGTCCAGTGTCGATGGATTGATCTTCAAAACCACAGGTCATTAAATTT
-ACCTGTAAAATAGTATTTAAATTATAATTAAAGCGGACGCTATTACAATTAGTATTATTCCCTGTACATG
-AACTCACTTCAATTTCGAACAACAAAGGAAAAGGAGTTCCTGGAAAAATGTCTGCGGTGTTAGAACTATC
-TGATACAGATGCGATAGAATATGGAATGGTGAAATTTATCGCAGATAGCATTTCTTCTAAATTATAAGAT
-GACTTCCCTGGAAGCTCTATTTTTTTACCGTCATATTCAAAGGGGAAATTAATAATATAATGACGACTTC
-CGACTTTAAACTTTAAAGCGTTCTGTGTTAAAAAATGAACTTTAATGGCGTTGGTTGTCTCTTGCAAGTC
-TGTACACTCAATGATATTTCCGGTGTTTTCAATTTTTTCGGCGGTGAGATTACCTTTCATACTCAGTGGC
-TTGAGTATATATGTTCCACGTTGTTCACCGACATTGGTCAATGCACAGGGAGCACTTTGCACAATAAAAG
-AATATAGACTCAAGGTGATTAATAAAAGCCACTTCATAGTAAACTCCTTTTACTGGCATATATATGTTTT
-GTTTTCATCGATAACGTGTTGAAAAGTAATAGTACAGAATAAATTCTGTTCATCATTGAGAGCAACTTTT
-ATGCCAGTTGGAATTTCATCTACGCGAATAAAAAGGCGACTACCCTGGCCAACGACTCCAATATTGTTTT
-CCTGGAGATCCAGTACGTCATAGCCAAAGGTTAATGGCGAACCATCGGGACGCAGTGCCTGTATATACCA
-AGGCTTACGTTGGTCAGTTGTAAACTGCACATAAGAAACTGCTCCACGGTAAGGCGCAATAATTTGACGA
-TTGCCCTGCAATTCTGTTTCACTTTCACTGTTTGCTATATCAAGTACCAGATGGTTTTCACGATGAGGTA
-TAATCGGGTCGTAAACAACCTGGCCTTTGCTGTTTGTTCGGTTGTATTTTTGTCCATTAATATGCGCGCC
-TTCTAATCCAGGCGCATCCAGAATTGCAAATGTATCGGATAACTGGTTAGTGATATTAATACCACCGGAC
-CAGACAACTAATCCACTACTAATACTTCCACCACTTTGCCAGGCGTTTTTAGAATGACTATAGCTGCCAT
-CTATTATGGCGATGGGAGTTCTCCAGCTTAAATTCGTACCAAGCGAGGTATCATTATTTTGTTGTTGCTG
-ATTAACATATATACCATAATTTAACTGATCATGTTCACCGGCTATGCCAGTAATTCCAGTATTGTTGGAG
-GAATAGCCATCTTTGGAAAATGAGGTCGAATTCGATAAGTTAATTTGGTGACGTGTTTTGGCAATATCAT
-CCCCCCAGTAGAAAGGAATGGAGATAAACAGATTAAAACGCTCCTCTTCTTTATTATTTTCATCATAAGA
-TTGGCTGGCAGAGAAAGTATAACTAATGTGTTGCCAGTTATTGGAGTAACTGAATTGGTAATCTTTAGCA
-TTTCCACTTCGCCCCCAGTAATTCCGCCAAAGCGCACTTAATGATACATTTCCCAGATTATTGGATAAAG
-GTTGCATAATATTGGCAGAAAGGCTATTTTTTCTGCCAATATCATAAAAATCATTATAATCACTCTGATG
-ATAGTGTTTATCATTTTCGTAAAGATGGTCGCTGAATGTCCTGTAATCCTGCGAAGCATAACGCCAGGCG
-GCCACGCTAAATCGAGTGGCTGTTTGTACTAGATATTTATTATAGGCGACCTGATAGCTCGTACCTTCGT
-GTCTGGTATCATTATTTAACTTACTACTCGATCGGGCAGCGTAAAAAGAGATGGCACCCAGCGGTGTATT
-CCAACCATTTCCCAGAGTTATAGCATTATAGTTATCGGATAAAATCGTACCCGATTATGTGATCAGGTTG
-TTATTATTTAGATTAATGTTTAAATTTTTTAATTTCTTGATGTGAAGTTGATGAAAGTTTAATATTCTTA
-ATTATTCCCTTCTTTATAAGAAGAGCAAGGTGCCATTATTAGAGTGAGAGAGTAGGATGTTTCAGAGTAT
-GCTTCAGATTATTTTTTATTCCTCTGTAGTGAATTAATAATCATCACAGTTAATTTCATTCTGAAATTAC
-TTCTTTTTTGAGATTTTTTAATTTTGATGAGCTATGTTTTTCATAAGGAACATAGACTCGTTGATGCTCT
-GAAGGTATTTTCTCATTTCCGGGGATGTTTTGTCGTAATCGTGCATAAACTTTTTCAGTTCTTTATACAC
-ATCATTATTTAGCTTTACATTGTCGCGAACTAAAGTTTGTACCAATGGTATCAAAATTTCGAAACGGGAC
-GGTTTGTCATCAATACTTGCCAGGGTTTTGAATACTCCTGTGTATCTGTAACCTAAGTGCTTATTGACAA
-GTTGAGTGGTCCATCGACCAGGCATAATATCTTCACAGAGCAAATTTTTTATTCTGGTATTAGTGAATGA
-TGCTCCAAATATGTTGCTTTTTTTAATGAAGAGATTATTAATTTCTCCATTTGAAAAGATGGTGTTTGAT
-AAGTCGCTTTCAAAACATGATATATTGGATAATACACAACTAAAATAATACCCATATGAAAGGTTGCTCT
-TTTCTATTGTTATATTTGATAGCGACATTTTATGTATATTGATATTAGGGGCAGTCAAATACTGGATCTT
-TTGATCGTTAAGTTCATACATCTCCAGTGATTTATTATAGGGTAATAAAAGTATAAATTCCTTTATATTA
-TCTCCGCAGTAAGAAAAGACGACATCAAATTTATTAGTGGCCATATTTTCAGTTGAGCAGTAAGCTGATT
-TTTCTATTAACCGACTGGGCACGCTTTTAAATAAAGATAATTTTCCACATAGTTTTGAATATGCCGAATT
-GCTAGTTTTAAAATTCTGCCATGTTATTTTCTGGTTATCATCTTTCGATGAGGAGGGGATTTTATTGCAT
-TGTTCATTATATAGCTCAGGGAAAATATTTTTTTTAATTAGCTTTTTGATTTCCTGGTTAAGATGACTTT
-TTTTCTTGTCTATTGCACTATATTTAGCGTTTTGTGACGTCTCCTGATGAGCATAAAATGACTGGAGATT
-TCTGCAGGCCTCATAAAATATTTCAGGAGTATATAGCTGTGGGTATATTTCCGGGTTGAAGTTTGCCTTT
-AAGAACTTAACGAATTTTTCATAGCATTCTTGATATATCTTAATCTCTTCGGTGATGCTGCCAACTTACT
-GATTTAGTGTATGATGGTGTTTTTGAGGTGCTCCAGTGGCTTCTGTTTCTATCAGCTGTCCCTCCTGTTC
-AGCTACTGACGGGGTGGTGCGTAACGGCAAAAGCACCGCCGGACATCAGCGCTATCTCTGCTCTCACTGC
-CGTAAAACATGGCAACTGCAGTTCACTTACACCGCTTCTCAACCCGGTACGCACCAGAAAATCATTGATA
-TGGCCATGAATGGCGTTGGATGCCGGGCAACTGCCCGCATTATGGGCGTTGGCCTCAACACGATTTTACG
-TCACTTAAAAAACTCAGGCCGCAGTCGGTAACCTCGCGCATACAGCCGGGCAGTGACGTCATCGTCTGCG
-CGGAAATGGACGAACAGTGGGGCTATGTCGGGGCTAAATCGCGCCAGCGCTGGCTGTTTTACGCGTATGA
-CAGGCTCCGGAAGACGGTTGTTGCGCACGTATTCGGTGAACGCACTATGGCGACGCTGGGGCGTCTTATG
-AGCCTGCTGTCACCCTTTGACGTGGTGATATGGATGACGGATGGCTGGCCGCTGTATGAATCCCGCCTGA
-AGGGAAAGCTGCACGTAATCAGCAAGCGATATACGCAGCGAATTGAGCGGCATAACCTGAATCTGAGGCA
-GCACCTGGCACGGCTGGGACGGAAGTCGCTGTCGTTCTCAAAATCGGTGGAGCTGCATGACAAAGTCATC
-GGGCATTATCTGAACATAAAACACTATCAATAAGTTGGAGTCATTACCATCTCTTCAGAAAGACATTCGC
-TTGTTCTGTCATCAAAAACATCCAATCTAAGTAATGTGATGCCTTTGTGTTTAAAAAATAAAATTGAACT
-GTATGTTCTATGAGTTTACATCTATAAAAATGTGCATCTCTCAGATGAGTATATTGAAAAAAATGATGGA
-GGACTGGAGATGGTTTAGGAAAATCCTGGCTTCTGAAAAAGTCATCAAACAAAATTAAGAACTCTGTTTT
-ATACTCGCAAAACACTTTTACTAACTCATTTTGTCTTGTTTTATTTATTATTACATCATCTACTATATTT
-GATTTATAAAGACAATGTGGCGAAGTTGAGATACCATCTGTCATTATCAGTCCTTGAAGTTGATGAATTT
-TTATTAATTTAATTTATGAGTGAATGTGACTACTATCAAAAATCGCTCATTAATTTTAAGAAGTACAATA
-TAAATAGGTATTTAACCTGTGTTGATTGCTGTTAATAATTTACAAGGTCTAATGAGGAGATATTTATGAA
-TGGTTAAAGTATATAGGAATTTAATTCAAAAATAGAGTGGTCTTAAGTTTAATACCTCAATGTGTATCAC
-AATATCCACATTCTTTGTAGGGGGTCTGGAGATTGAGTAGATATTCTTGTTCAGAATGTATCAGCCGATG
-GTTCTACGATTCTTAAGCCACGAAGAGTTCAGATAGTACAACGGCATGTCTGCAAGAACCTGCAACTTTT
-GACTATCTGGCAACCGGCAGTGTGTTCTCTCACGCATCACAAAAGCAGCAGGCATAAAAAAACCCGCTTG
-CGCGGGCTTTTTCACAAAGCTTCAGCAAATTGGCGATTAAGCCAGTTTGTTGATCTGTGCAGTCAGGTTA
-GCCTTATGACGTGCAGCTTTGTTTTTGTGGATCAGACCTTTAGCAGCCTGACGGTCCACGATCGGTTGCA
-TTTCGTTAAATGCTTTCTGTGCAGCAGCTTTGTCGCCAGCTTCGATAGCTGCGTATACTTTCTTGATGAA
-AGTACGCATCATAGAGCGACGGCTTGCGTTGTGCTTACGAGCCTTTTCAGACTGAATGGCGCGCTTCTTA
-GCTGATTTGATATTAGCCAAGGTCCAACTCCCAAATGTGTTCTATATGGACAATTCAAAGGCCGAGGAAT
-ATGCCCTTTTAGCCTTCTTTTGTCAATGGATTTGTGCAAATAAGCGCCGTTAATGTGCCGGCACTCGTTA
-CGTAGTGATGGCGCAGGATTCTACCAGCTTGCGGGGTGTGAATACAGCTTTTCCGCGATAAAAATTGCAG
-CAGGCGGTCAGTTTCTTCCCGTGATTTGCGCCATGGCAATGAAAAGCCACTTCTTTCTGATTTCGGTACT
-CAATCGCCGGTTAACCTTGACCGCTGTACAAGGTATACTCGGACGATTTTCACTGTTTTGAGCCAGACAT
-GAAGCTGATACGCGGCATACATAATCTCAGCCAGGCCCCGCAAGAAGGGTGTGTGCTGACTATTGGTAAT
-TTCGACGGCGTGCATCGCGGTCATCGCGCGCTGTTACAGGGCTTGCAGGAAGAAGGGCGCAAGCGCAACT
-TACCGGTGATGGTGATGCTTTTTGAACCTCAACCACTGGAACTGTTTGCTACCGATAAAGCCCCGGCACG
-GCTGACCCGGCTGCGGGAAAAACTGCGTTACCTTGCAGAGTGTGGCGTTGATTACGTGCTGTGCGTGCGT
-TTCGACAGGCGTTTCGCGGCGTTAACCGCGCAAAATTTCATCAGCGATCTTCTGGTGAAGCTTTTGCGCG
-TAAAATTTCTTGCCGTAGGTGATGATTTCCGCTTTGGCGCTGGTCGTGAAGGCGATTTCTTGTTATTACA
-GAAAGCTGGCATGGAATACGGCTTCGATATCACCAGTACGCAAACTTTTTGCGAAGGTGGCGTGCGTATC
-AGCAGCACCGCTGTGCGTCAGGCGCTGGCGGATGACAATCTGGCTCTGGCAGAAAGTTTACTGGGGCACC
-CGTTTGCCATCTCCGGGCGTGTAGTCCACGGTGATGAATTAGGGCGCACTATAGGTTTCCCGACGGCGAA
-TGTACCGCTACGCCGTCAGGTTTCCCCGGTGAAAGGGGTTTATGCGGTAGAAGTGCTGGGCCTCGGTGAA
-AAGCCGTTACCCGGCGTGGCAAACATCGGAACACGCCCAACGGTTGCCGGTATTCGCCAGCAGCTGGAAG
-TGCATTTGTTAGATGTTGCAATGGACCTTTACGGTCGCCATATACAAGTAGTGCTGCGTAAAAAAATACG
-CAATGAGCAGCGATTTGCGTCGCTGGACGAACTGAAAGCGCAGATTGCGCGTGATGAATTAACCGCCCGC
-GAATTTTTTGGGCTAACAAAACCGGCTTAAGCCTGTTATGTAATCAAACCGAAACACGGAACCGAGAATC
-TGATGAGTGACTATAAATCAACCCTGAATTTGCCGGAAACAGGGTTCCCGATGCGTGGCGATCTCGCCAA
-GCGCGAACCGGGAATGCTGGCGCGTTGGACTGATGATGATCTGTACGGCATCATCCGTGCGGCTAAAAAA
-GGCAAAAAAACCTTCATTCTGCATGATGGCCCTCCTTATGCGAATGGCAGCATTCATATTGGTCACTCGG
-TTAACAAGATTCTGAAAGACATTATCGTGAAGTCCAAAGGGCTTTCCGGTTATGACTCGCCGTATGTGCC
-TGGCTGGGACTGCCACGGTCTGCCGATCGAGCTGAAAGTCGAGCAAGAATACGGTAAGCCGGGTGAGAAA
-TTCACCGCCGCCGAGTTCCGCGCCAAGTGCCGCGAATACGCGGCGACCCAGGTTGACGGTCAACGCAAAG
-ACTTTATCCGTCTGGGCGTGCTGGGCGACTGGTCGCACCCGTACCTGACCATGGACTTCAAAACTGAAGC
-CAACATCATCCGCGCGCTGGGCAAAATCATCGGCAACGGTCACCTGCACAAAGGCGCGAAGCCGGTACAC
-TGGTGCGTTGACTGCCGTTCTGCGCTGGCGGAAGCGGAAGTTGAGTATTACGACAAAACTTCTCCGTCCA
-TCGACGTTGCTTTTCAGGCGGTCGATCAGGATGCACTGAAAGCAAAATTTGCCGTAAGCAACGTTAACGG
-CCCAATCTCGCTGGTGATCTGGACCACTACGCCGTGGACTCTGCCTGCGAACCGCGCAATCTCTATTGCA
-CCTGATTTCGACTATGCGCTGGTGCAGATCGACGGTCAGGCCGTGATTCTGGCGAAAGATCTGGTTGAAA
-GCGTAATGCAGCGTATCGGCGTGACCGATTACACCATTCTCAGCACGGTAAAAGGTGCGGAGCTTGAGTT
-GCTGCGCTTTACCCATCCGTTTATGGGCTTCGACGTTCCGGCAATCCTCGGCGATCACGTTACCCTGGAT
-GCCGGTACCGGTGCCGTTCACACCGCGCCTGGCCACGGCCCGGACGACTATGTGATCGGTCAGAAATACG
-GCCTGGAAACCGCTAACCCGGTTGGCCCGGACGGCACTTATCTGCCGGGCACTTATCCGACGCTGGATGG
-CGTGAACGTCTTCAAAGCGAACGACATCGTCGTTGCGCTGCTGCAGGAAAAAGGCGCGCTGCTGCACGTT
-GAGAAAATGCAGCACAGCTATCCGTGCTGCTGGCGTCACAAAACGCCGATCATCTTCCGCGCGACGCCGC
-AGTGGTTCGTCAGCATGGATCAGAAAGGTCTGCGTGCGCAGTCACTGAAAGAGATCAAAGGCGTGCAGTG
-GATCCCGGACTGGGGCCAGGCGCGTATCGAGTCGATGGTTGCTAACCGTCCTGACTGGTGTATCTCCCGT
-CAGCGCACCTGGGGCGTACCGATGTCACTGTTCGTGCACAAAGACACGGAAGAGCTGCATCCGCGTACCC
-TCGAACTGATGGAAGAAGTGGCAAAACGCGTTGAAGTTAACGGCATCCAGGCGTGGTGGGATCTCGATGC
-GAAAGAGATCCTCGGCGACGAAGCTGACCAGTATGTGAAAGTGCCGGATACTCTCGACGTATGGTTTGAC
-TCCGGATCTACCCACTCTTCTGTTGTTGACGTGCGTCCGGAATTTGCCGGTCACGCAGCGGACATGTATC
-TGGAAGGTTCTGACCAGCACCGTGGTTGGTTCATGTCTTCCCTAATGATCTCCACCGCGATGAAAGGCAA
-AGCGCCGTATCGTCAGGTACTGACCCACGGCTTTACCGTGGATGGTCAGGGCCGCAAGATGTCTAAATCC
-ATCGGCAACACCGTTTCGCCGCAGGATGTGATGAACAAACTGGGCGCGGATATTCTGCGTCTGTGGGTGG
-CATCAACCGACTACACCGGTGAAATGGCCGTTTCTGACGAGATCCTGAAACGTGCTGCCGACAGCTATCG
-TCGTATCCGTAACACCGCGCGCTTCCTGCTGGCAAACCTGAACGGTTTTGATCCAGCAAAAGATATGGTG
-AAACCGGAAGAGATGGTGGTACTGGATCGCTGGGCCGTAGGTTGTGCGAAAGCGGCACAGGAAGACATCC
-TCAAGGCGTACGAAGCATACGATTTCCACGAAGTGGTACAGCGTCTGATGCGCTTCTGCTCCGTTGAGAT
-GGGTTCCTTCTACCTCGACATCATCAAAGACCGTCAGTACACCGCCAAAGCGGACAGCGTGGCGCGTCGT
-AGCTGCCAGACTGCGCTGTATCACATCGCAGAAGCGCTGGTTCGCTGGATGGCACCAATCCTCTCCTTCA
-CCGCTGATGAAGTGTGGGGCTACCTGCCGGGCGAACGTGAAAAATACGTCTTCACCGGTGAGTGGTACGA
-AGGCCTGTTTGGTCTGGCAGACAGTGAAGCAATGAACGATGCGTTCTGGGACGAGCTGTTGAAAGTGCGT
-GGCGAAGTGAACAAAGTCATTGAGCAAGCGCGTGCCGACAAGAAAGTGGGTGGCTCGCTGGAAGCGGCAG
-TAACCTTGTATGCAGAACCGGAACTGGCGGCGAAACTGACCGCGCTGGGCGATGAATTACGATTTGTCTT
-GTTGACCTCCGGCGCTACCGTTGCAGACTATAACGACGCACCTGCTGATGCTCAGCAGAGCGAAGTACTC
-AAAGGGCTGAAAGTCGCGTTGAGTAAAGCCGAAGGTGAGAAGTGCCCACGCTGCTGGCACTACACCCAGG
-ATGTCGGCAAGGTGGCGGAACACGCAGAAATCTGCGGCCGCTGTGTCAGCAACGTCGCCGGTGACGGTGA
-AAAACGTAAGTTTGCCTGATGAGTCAATCGATCTGTTCAACAGGGCTACGCTGGCTGTGGCTGGTGGTAG
-TCGTGCTGATTATCGATCTGGGCAGCAAATACCTGATCCTCCAGAACTTTGCTCTGGGGGATACGGTCCC
-GCTGTTCCCGTCGCTTAATCTGCATTATGCGCGTAACTATGGCGCGGCGTTTAGTTTCCTTGCCGATAGC
-GGCGGCTGGCAGCGTTGGTTCTTTGCCGGTATTGCGATTGGTATTAGCGTGATCCTGGCAGTGATGATGT
-ATCGCTCGAAGGCCACGCAGAAGCTAAACAATATCGCTTACGCGCTGATTATTGGCGGCGCGCTGGGCAA
-CCTGTTCGACCGCCTGTGGCACGGCTTCGTTGTCGATATGATCGACTTCTACGTCGGCGGCTGGCACTTC
-GCCACCTTCAACCTTGCCGATACTGCCATCTGTGTCGGTGCGGCACTGATTGTGCTGGAAGGTTTTTTAC
-CTTCTAAAGCGAAAAAACAATAATAAACCCTGCCGGATGCGATGCTGACGCATCTTATCCGGCCTACAGA
-TTGCTGCGAAATCGTAGGCCGGATAAGGCGTTTACGCCGCATCCGGCAAAAATCCTTAAATATAAGAGCA
-AACCTGCATGTCTGAATCTGTACAGAGCAATAGCGCCGTCCTGGTGCACTTCACGCTAAAACTCGACGAT
-GGCACCACCGCCGAGTCTACCCGCAACAACGGTAAACCGGCGCTGTTCCGCCTGGGTGATGCTTCTCTTT
-CTGAAGGGCTGGAGCAACACCTGTTGGGGCTGAAAGTGGGCGATAAAACCACCTTCTCGTTGGAGCCAGA
-TGCGGCGTTTGGCGTGCCGTCACCGGACCTGATTCAGTACTTCTCCCGCCGTGAATTTATGGATGCAGGC
-GAGCCAGAAATTGGCGCAATCATGCTTTTTACCGCAATGGATGGCAGTGAGATGCCTGGCGTGATCCGCG
-AAATTAACGGCGACTCCATTACCGTTGATTTCAACCATCCGCTGGCCGGGCAGACCGTTCATTTTGATAT
-TGAAGTGCTGGAAATCGATCCGGCACTGGAGGCGTAACATGCAGATCCTGTTGGCCAACCCGCGTGGTTT
-TTGTGCCGGGGTAGACCGCGCTATCAGCATTGTTGAAAACGCGCTGGCCATTTACGGCGCACCGATATAT
-GTCCGTCACGAAGTGGTACATAACCGCTATGTGGTCGATAGCTTGCGTGAGCGTGGGGCTATCTTTATTG
-AGCAGATTAGCGAAGTACCGGACGGCGCGATCCTGATTTTCTCCGCACACGGTGTTTCTCAGGCGGTACG
-TAACGAAGCAAAAAGCCGCGATTTGACGGTGTTTGATGCCACCTGTCCGCTGGTGACCAAAGTGCATATG
-GAAGTCGCCCGCGCCAGCCGTCGTGGCGAAGAGTCGATTCTCATCGGCCACGCCGGGCATCCGGAAGTGG
-AAGGTACGATGGGCCAGTACAGTAACCCGGAAGGGGGAATGTATCTGGTCGAATCGCCGGACGATGTGTG
-GAAACTGACGGTCAAAAACGAAGAGAAGCTCTCCTTTATGACCCAGACCACGCTGTCGGTGGATGACACG
-TCTGATGTGATCGACGCGCTGCGTAAACGCTTCCCGAAAATTGTCGGTCCGCGCAAAGATGACATCTGCT
-ACGCCACGACTAACCGTCAGGAAGCGGTACGCGCCCTGGCAGAACAGGCGGAAGTTGTGTTGGTGGTCGG
-TTCGAAAAACTCCTCCAACTCCAACCGTCTGGCGGAGCTGGCCCAGCGTATGGGCAAACGCGCGTTTTTG
-ATTGACGATGCGAAAGATATCCAGGAAGAGTGGGTGAAAGAGGTTAAATGCGTCGGCGTGACTGCGGGCG
-CATCGGCTCCGGATATTCTGGTGCAAAATGTGGTGGCACGTTTGCAGCAGCTGGGCGGTGGTGAAGCCAT
-TCCGCTGGAAGGCCGTGAAGAAAACATTGTTTTCGAAGTGCCGAAAGAGCTGCGTGTCGATATTCGTGAA
-GTCGATTAAGTCATTAGCAGCCTAAGTTATGCGAAAATGCCGGTCTTGTTACCGGCATTTTTTATGGAGA
-AAACATGCGTTTACCTATCTTCCTCGATACTGACCCCGGCATTGACGATGCCGTCGCCATTGCCGCCGCG
-ATTTTTGCCCCCGAACTCGACCTGCAACTGATGACCACCGTCGCGGGTAATGTCTCGGTTGAGAAAACTA
-CCCGTAATGCCTTGCAACTGCTGCATTTCTGGAATGCGGAGATTCCGCTCGCCCAGGGAGCCGCTGTGCC
-GCTGGTACGCGCACCGCGTGATGCGGCATCTGTGCACGGCAAATCGGGAATGGCTGGCTACGACTTTGTT
-GAGCACAACCGAAAGCCGCTCGAGGTACCGGCGTTTCTGGCGATTCGGGATGCCCTGATGCGTGCACCAG
-AGCCTGTTACCCTGGTAGCCATCGGCCCGTTAACCAATATTGCGCTGTTACTTTCACAATGCCCGGAATG
-CAAACCGCATATTCGCCGTCTGGTGATCATGGGCGGTTCTGCTGGTCGCGGCAACTGTACACCAAATGCC
-GAGTTTAATATCGCTGCCGATCCAGAAGCGGCTGCCTGTGTCTTCCGTAGCGGCATCGAAATTGTCATGT
-GCGGTCTGGATGTCACCAATCAGGCAATATTAACCCCTGACTATCTCGCTACTTTACCGGAGTTGAATCG
-CACCGGAAAAATGCTCCACGCCCTGTTTAGCCACTACCGTAGCGGCAGTATGCAAAGCGGTCTGCGAATG
-CACGATCTCTGCGCCATCGCCTGGCTGGTGCGCCCGGACTTATTCACCCTCAAGCCGTGTTTTGTCGCGG
-TAGAAACTCAAGGCGAATTTACCTCAGGCACGACGGTGGTTGATATCGACGGTTGCCTGGGCAAACCAGC
-CAATGTACAGGTGGCATTGGATCTGAATGTAAAAGGCTTCCAACAGTGGGTGGCTGATTTGCTGGCTCTG
-GTGCCGTAACCTGTCACATGTTATCGGCATGCAGTCATTCATCGACTCATGCCTTTCACTGATATCCCTC
-CCTGTTTATCATTAATTTCTAATTATCAGCGTTTTTGGCTGGCGGCGTAGCGATGCGCTGGTTACTCTGA
-AAACGGTCTATGCAAATTAACAAAAGAGAATAGCTATGCATGATGCAAACATCCGCGTTGCCATCGCGGG
-AGCCGGGGGGCGTATGGGCCGCCAGTTGATTCAGGCGGCGCTGGCATTAGAAGGCGTGCAGCTGGGCGCG
-GCGCTGGAGCGCGAAGGATCTTCTTTACTGGGCAGCGACGCCGGTGAGCTGGCTGGTGCAGGGAAAACAG
-GCGTTACCGTGCAAAGCAGCCTTGATGCGATAAAAGATGATTTTGATGTGTTTATCGATTTTACCCGTCC
-GGAAGGTACGCTGAACCATCTCGCTTTTTGTCGCCAGCATGGCAAAGGGATGGTGATCGGCACTACGGGG
-TTTGACGAAGCCGGTAAACAGGCGATTCGTGACGCCGCCGCCGATATTGCGATTGTCTTTGCCGCCAATT
-TTAGCGTTGGCGTTAACGTCATGCTTAAGCTGCTGGAGAAAGCAGCCAAAGTGATGGGTGACTACACCGA
-TATCGAAATTATTGAAGCACATCATAGACATAAAGTTGATGCGCCGTCAGGCACCGCACTGGCAATGGGA
-GAGGCGATCGCCCACGCCCTTGATAAAGATCTGAAAGATTGCGCGGTCTACAGTCGTGAAGGCCACACCG
-GTGAACGTGTGCCTGGCACCATTGGTTTTGCCACCGTGCGTGCAGGTGACATCGTTGGCGAACATACCGC
-GATGTTTGCCGATATTGGCGAGCGTCTGGAGATCACCCATAAGGCGTCCAGCCGCATGACATTTGCTAAC
-GGCGCGGTAAGATCGGCTTTGTGGTTGAGTGGTAAGGAAAGTGGTCTTTTTGATATGCGAGATGTGCTTG
-ATCTCAATAGTTTGTAACCACAAGATATTTGTTATGGTGCAAAAATAACACATTTAATTTATTGATTGTA
-AAGGGCTTTAATTTTTGGCCCTTTTATTTTTAGTGTTATGTTTTTAAATTGTCTATAAGTGCCAAAAATT
-ACATGTTTTGTCTTTGGTTTTTGTTGTTTTAATGTAAATTTTGACCATTTGGTCCACTTTTCCCTACTCG
-CTTTTATTTCATGCAATCTTCTTGCTGCGCAAGCGTTTTCCAGAACAGGTTATATGATCTTTTTGCCGCT
-TAATGCCTGTAAAACATGCATGAGCCACAAAATAATATAAAAAATCCTGCCATTAAGTTGACTTTTAGCG
-CCCATATCTCCAGAATGCCGCCGTTTGCCAGAAATTCGTCGGTAAGCAGATTTGCATTGATTTACGTCAT
-CATTGTGAATTAATATGCAAATAAAGTGAGTGAATATTCTATGGAGGTGTTTTGATTAAGTCAGCGCTAT
-TGGTTCTGGAAGACGGAACCCAGTTTCACGGTCGGGCCATAGGGGCAACAGGTTCGGCGGTTGGGGAAGT
-CGTTTTCAATACTTCAATGACCGGTTATCAAGAAATCCTCACTGATCCTTCCTATTCTCGTCAAATCGTT
-ACTCTTACTTATCCCCATATTGGCAATGTCGGCACTAATGACGCCGATGAAGAATCTTCTCAGGTACATG
-CGCAAGGTCTGGTGATTCGCGATCTGCCGCTGATTGCCAGCAACTTCCGTAATACCGAAGACCTCTCTTC
-TTACCTGAAGCGCCATAACATCGTGGCGATTGCCGATATCGATACCCGTAAGCTGACGCGTTTACTGCGC
-GAGAAAGGCGCACAGAATGGCTGCATTATCGCAGGCGATAACCCGGATGCGGCGCTGGCGTTAGAAAAAG
-CTCGCGCGTTCCCAGGTCTGAATGGCATGGATCTGGCAAAAGAAGTGACCACCGCAGAAGCCTATAGCTG
-GACACAAGGGAGCTGGACGTTGACCGGCGGCCTGCCAGAAGCGAAGAAAGAAGACGAGCTGCCGTTCCAC
-GTCGTGGCTTATGATTTTGGTGCCAAGCGCAACATCCTGCGGATGCTGGTGGACAGAGGCTGTCGTCTGA
-CCATCGTTCCGGCGCAAACTTCTGCGGAAGATGTGCTGAAAATGAATCCAGACGGCATCTTCCTCTCCAA
-CGGTCCTGGCGACCCGGCCCCGTGCGATTACGCCATTACCGCCATCCAGAAATTTCTCGAAACCGATATT
-CCGGTATTCGGCATCTGTCTCGGTCATCAGCTGCTGGCGCTGGCGAGCGGTGCGAAGACTGTCAAAATGA
-AATTTGGTCACCACGGCGGCAACCATCCGGTTAAAGATGTTGAGAAAAACGTGGTGATGATCACCGCCCA
-GAACCACGGTTTTGCGGTGGATGAAGCAACATTACCTGCAAACCTGCGTGTCACGCATAAATCCCTGTTC
-GACGGTACGTTACAGGGCATTCATCGCACCGATAAACCGGCGTTCAGCTTTCAGGGTCACCCGGAAGCCA
-GCCCTGGTCCGCACGACGCCGCGCCGTTGTTCGACCACTTTATCGAGTTAATTGAGCAGTACCGTAAAAC
-CGCTAAGTAATCAGGAGTAAAAGAGCCATGCCAAAACGTACAGATATAAAAAGTATCCTGATTCTGGGTG
-CGGGCCCGATTGTTATCGGTCAGGCGTGTGAGTTTGACTACTCTGGCGCGCAAGCATGTAAAGCCCTGCG
-CGAAGAGGGTTACCGCGTCATTCTGGTGAACTCCAACCCGGCGACCATCATGACCGACCCGGAAATGGCC
-GATGCGACCTACATCGAGCCGATTCACTGGGAAGTAGTACGCAAGATTATTGAAAAAGAGCGCCCGGACG
-CGGTGCTGCCAACGATGGGCGGTCAGACGGCGCTGAACTGCGCGCTGGAGCTGGAGCGTCAGGGCGTGTT
-GGAAGAGTTCGGCGTGACTATGATTGGTGCGACCGCCGATGCGATTGATAAAGCAGAAGACCGCCGTCGT
-TTCGACGTAGCGATGAAGAAAATTGGTCTGGAAACCGCGCGTTCCGGTATCGCACACACGATGGAAGAAG
-CGCTGGCGGTTGCCGCTGACGTGGGCTTCCCGTGCATTATTCGCCCATCCTTTACCATGGGCGGTAGCGG
-CGGCGGTATCGCTTATAACCGCGAAGAGTTTGAAGAAATTTGCGCCCGCGGTCTGGATCTCTCCCCAACC
-AAAGAGCTGCTGATTGATGAGTCGCTGATCGGCTGGAAAGAGTACGAGATGGAAGTGGTGCGTGATAAAA
-ACGACAACTGCATCATCGTCTGCTCTATCGAAAACTTTGATGCGATGGGCATCCATACCGGTGACTCCAT
-CACTGTCGCGCCAGCCCAAACGCTGACCGACAAAGAATATCAAATCATGCGTAACGCCTCGATGGCGGTG
-CTGCGTGAAATCGGCGTTGAAACCGGTGGTTCCAATGTCCAGTTTGCGGTGAACCCGAAAAACGGTCGCC
-TGATTGTTATCGAAATGAACCCACGCGTGTCCCGTTCTTCGGCGCTGGCGTCGAAAGCGACCGGTTTCCC
-GATTGCTAAAGTGGCGGCGAAACTGGCGGTGGGTTACACCCTCGACGAACTGATGAACGACATCACTGGC
-GGACGTACTCCGGCCTCCTTCGAGCCGTCCATCGACTATGTGGTTACTAAAATTCCTCGCTTCAACTTCG
-AAAAATTCGCCGGTGCTAACGACCGTCTGACCACTCAGATGAAATCGGTTGGCGAAGTGATGGCGATTGG
-TCGCACGCAGCAGGAATCCCTGCAAAAAGCGCTGCGCGGCCTGGAAGTCGGTGCGACTGGATTCGACCCG
-AAAGTGAGCCTCGATGACCCGGAAGCGTTAACCAAAATCCGTCGCGAACTGAAAGATGCTGGCGCAGAGC
-GTATCTGGTACATCGCCGATGCCTTCCGTGCGGGCCTGTCTGTGGACGGCGTGTTCAACCTGACCAATAT
-TGACCGCTGGTTCCTGGTACAGATTGAAGAACTGGTGCGTCTGGAAGAGAAAGTAGCGGAAGTGGGCATC
-ACTGGCCTGAACGCTGAATTCCTGCGCCAGCTGAAACGCAAAGGCTTTGCCGATGCGCGTCTGGCAAAAC
-TGGCGGGCGTGCGCGAAGCGGAAATCCGCAAGCTGCGCGACCAGTATGACCTGCACCCGGTTTATAAGCG
-CGTGGATACCTGTGCGGCAGAGTTCGCCACCGACACCGCTTACATGTACTCCACTTATGAAGAAGAGTGC
-GAAGCGAATCCGTCTACCGACCGTGAAAAAATCATGGTTCTCGGCGGCGGCCCGAACCGTATCGGTCAGG
-GTATCGAATTCGACTACTGCTGTGTACACGCCTCGCTGGCGCTGCGCGAAGACGGTTACGAAACCATTAT
-GGTTAACTGTAACCCGGAAACCGTCTCCACCGACTACGACACTTCCGATCGCCTCTACTTCGAGCCGGTA
-ACTCTGGAAGATGTGCTGGAAATCGTGCGTATTGAGAAGCCGAAAGGCGTTATCGTTCAGTACGGTGGTC
-AGACCCCGCTGAAACTGGCGCGCGCGCTGGAAGCTGCTGGCGTACCGGTTATCGGCACCAGCCCGGATGC
-TATCGACCGTGCAGAAGACCGTGAACGCTTCCAGCATGCGGTTGAGCGTCTGAAACTGAAACAACCGGCG
-AACGCCACCGTTACCGCTATTGAAATGGCGGTAGAGAAGGCGAAAGAGATTGGCTACCCGCTGGTGGTAC
-GTCCGTCTTACGTTCTCGGCGGTCGGGCGATGGAAATCGTCTATGACGAAGCTGACCTGCGTCGCTACTT
-CCAGACGGCGGTCAGCGTGTCTAACGATGCGCCAGTGTTGCTGGATCACTTCCTTGATGACGCGGTAGAA
-GTTGACGTGGATGCCATCTGCGACGGCGAAATGGTGCTGATTGGCGGCATCATGGAGCACATTGAGCAGG
-CGGGCGTGCACTCCGGTGACTCCGCATGTTCGCTACCAGCCTACACCTTAAGTCAGGAAATTCAGGATGT
-GATGCGCCAGCAGGTGCAGAAACTGGCCTTCGAATTGCAGGTGCGCGGCCTGATGAACGTGCAGTTTGCG
-GTTAAAAACAACGAAGTCTACCTGATTGAAGTTAACCCGCGTGCGGCGCGTACCGTTCCGTTCGTCTCCA
-AAGCCACCGGCGTTCCGCTGGCAAAAGTGGCGGCGCGTGTGATGGCTGGCAAATCGCTGGCTGAGCAGGG
-CGTAACCAAAGAAGTTATCCCGCCGTACTACTCGGTGAAAGAAGTGGTGCTGCCGTTCAATAAATTCCCG
-GGTGTTGACCCGCTGTTAGGGCCAGAAATGCGCTCTACCGGGGAAGTCATGGGCGTGGGCCGCACCTTCG
-CTGAAGCGTTCGCCAAAGCGCAGCTGGGCAGCAACTCCACCATGAAGAAACACGGTCGTGCGCTGCTTTC
-CGTGCGCGAAGGCGATAAAGAACGCGTGGTGGACCTGGCGGCAAAACTGCTGAAACAGGGCTTCGAGCTG
-GATGCGACGCACGGCACGGCGATTGTGCTGGGTGAAGCGGGTATCAATCCGCGTCTGGTGAACAAGGTGC
-ATGAAGGCCGTCCGCACATTCAGGACCGTATTAAGAATGGCGAATATACCTACATCATCAACACCACCTC
-AGGTCGTCGTGCGATTGAAGACTCCCGCGTGATTCGTCGCAGTGCGCTGCAATATAAAGTGCATTACGAC
-ACCACCCTGAACGGCGGCTTTGCCACCGCGATGGCGCTGAATGCCGATGCGACTGAAAAAGTAATTTCGG
-TGCAGGAAATGCACGCACAGATCAAATAATAGCGTGTCATGGCAGATATTTTTCATCCGCTAATTTGATC
-GAATAACTAATACGGTTCTCTGATGAGGACCGTTTTTTTTTGCCCATTAAGTAAATCTTTTGGGGAATCG
-ATATTTTTGATGACATAAGCAGGATTTAGCTCACACTTATCGACGGTGAAGTTGCATACTATCGATATAT
-CCACAATTTTAATATGGCCTTGTTTAATTGCTTCAAAACGAGTCATAGCCAGACTTTTAATTTGTGAAAC
-TGGAGTTCGTATGTGTGAAGGATATGTTGAAAAACCACTCTACTTGTTAATCGCCGAATGGATGATGGCT
-GAAAATCGGTGGGTGATAGCAAGAGAGATCTCTATTCATTTCGATATTGAACACAGCAAGGCGGTTAATA
-CCCTGACTTATATTCTGTCGGAAGTCACAGAAATAAGCTGCGAAGTTAAGATGATCCCTAATAAGCTGGA
-AGGGCGGGGATGCCAGTGTCAGCGACTGGTTAAAGTGGTCGATATCGATGAGCAAATTTACGCGCGCCTG
-CGCAATAACAGTCGGGAAAAATTAGTCGGCGTAAGAAAGACACCGCGTATTCCTGCCGTTCCGCTCACGG
-AACTTAACCGCGAGCAGAAGTGGCAGATGATGTTGTCAAAGAGTATGCGTCGTTAATGTCATTTCGATGA
-TACCGTGCGACCTGGTCGCCGGATGCGATGCTGGCGCATCTTATCCGGCTTACGGTTGCTCTCCAGCCGG
-GTTGGATAAGGCGTTTATGCCGCATCCGACAGCTATCGCCGGATGCGATGCTGGCGCATCTTATCCGGCC
-TACGGTTGCTCTCCAGCAGAGTTGGATAAGGCGTTTACGCCGCATCCGGCAAGATCACCGTTTAGGCGTC
-ACATCCGTTGTCCCCTGCAAACGGGGGCGATTTTCCTCCATTTGCCTCAACGGCTGCGTTTCATGTAACG
-ATGCATGATAGCGCCCGACAAGATCCTGATACTCTTTGGTATTCAACCGTTTCCAGTGTAACTCGTCGTC
-ACTAACACTGCGTACAGCGCGGGCTGGCGTACCCATCAACAACTGGCGTTTCTCGCCGCTAAAGCCCGCT
-TTGACAAAGCTCATGGCGGCAACAATGCTCTCTTCGCCAATGACCGCGCCATCCATAATCACGCTGTTCA
-TCCCGACCAATGCATCGCGACCAATCACACAACCATGCAGGATCGCTCCGTGCCCGATATGGCCGTTTTC
-CCCAACAATGGTGTCAGTGTCGCAGTAGCCATGCATAATGCAGCCATCCTGAATATTGGCTCCCGCTTGC
-ACGATCAACCGCCCGTAGTCACCACGCAGTGAGGCGAGTGGGCCGATGTAGACACCGGCTCCCACAATCA
-CATCGCCAATCAAGACGGCACTGGGATGGACAAACGCCGTCGGGTGAACCACCGGAATTAACCCCTCAAA
-GGCGTAATAGCTCACGGTTGTTAACGTCCTTTCCACACCGGATCGCGCTTCTCGGCAAACGCCAGCGGCC
-CTTCAATGGCATCCTCCGAATGCAGAACCGACGGATAGTGTTTCAACACGCCGCTGCGAATATAGCGATA
-CGCTTCTTCTACCGGCATTTCGCTGGTGGTGCGGTAGATCTCTTTCAGCGCCGCAATCGCCAGCGGAGCG
-CTGTTAACCAGCTGCTGCGCCAGTTCGCGGGCGTTATCCATCAGTTCCGCCTGGCTAACCACGCGGTTGA
-CTATCCCCCAACGCAGCGCCTCTTCTGCGCCCATTCGTCTGCCGGTCATCACCATTTCATTGACGATGGC
-AGGCGGCAGGATCTTCGGCAGACGCAGCACACCGCCGCTGTCAGGAACGATGCCCAGTTTGGCTTCCGGC
-AGGGCGAAGCTGGCGTTATCGGCACAAACAATAAAATCTGCCGCCAGCGCCAGTTCGAAACCGCCGCCAA
-AGGCGTAGCCGTTCACAGCTGCGATAACTGGTTTGTCGAGATTGAAAATTTCGGTTAATCCCGCAAAACC
-ACCCGGGCCAAAGTCAGCATCCGGTGCTTCGCCTTCTGCTGCCGCTTTTAAATCCCAGCCCGCGGAAAAG
-AATTTCTCTCCGGCACCGGTAATAATGGCGACACGTAATTGCGGATCGTCACGGAAATTTAGAAATACTT
-CGCCCATTTCAAAGCTGGTTTTTGCATCAATAGCATTCGCTTTTGGGCGATCAAGGGTAATTTCCAGAAT
-TGATCCATTGCGGGTCAGATGTAATGATTCACTCATTCCTTTTCTCCATTTTTGCTTTTTCAGGGACGAC
-AACATTCCTGCAAAAAATGCATATTGTTTTAGAGCGTGATTATTAGCTGGCAGGGTAGTTCCCTGCCGTT
-TCATTTATTTCAGATTCTTTCTAATTATTTTCCCCGAGCAATTACGTGGCAGATCTTTTCTGATCTCCAG
-ATAAGAGGGCACTTTAAATTTCGCCATATTTTGTTCGCAGAAGCGAAAAAATTCCTCTTCGCTCAATGTT
-TCACCTTCATTCAGCACCACAAATGCTTTGATGGCTTCATCGCGAATCGAATCTTTAATACCCACAACCA
-CGATGTCCTGAATTTTCGGATGGGTGGCGATGATATTTTCCAGCTCCACGCAGGAGACATTCTCGCCACC
-GCGTTTGATCATATTGCAGCGGCGATCGACGAAATAAAAAAAGCCTTCTTCGTCGCGGTATCCGGTATCG
-CCGGTATGCAGCCAGCCATCAGCTTCCAGCACTTTCGCAGTGGCTTTCGGGTTGAGAAAATACTCTTTGA
-AGATGGTTTTCCCTGGTACGCCTTTAATACAGATTTCACCGATCTCACCTGCCGGGAGCGGGCAATTGTG
-ATCGTCGCGGATCTCCGCTTCGTAGCAAAACCCCGCTCGACCAATCGACGGCCAGCGTCGTTTATCGCCA
-GGGCGATCGCCGATAATGCCCACAATGGTTTCCGTCATCCCATAAGACGTCAGCAAGCGAACGCCGAAGC
-GTTCACAAAACGCATCTTTTTCCTGCTCCGACAAGTTGAGATAAAACATCACTTCCCGCAGGCGGTGTTG
-CCGATCGTTCGCTGAAGGCGGCTGCACCATCAAGGTACGGATCATCATCGGAATACATTCGGTAACGGTG
-GCGCGGTACTTCTGTACCTGTCCCCAGAAGGCGCGGGCGCTGTATTTCTCGACCAGCACAAAGGTGGCCC
-CGGCAGAAAACGCCGCCATCGCCGCAGTACACTGGCAATCGATATGAAACGCAGGCATTACCGTCAGGTA
-GACGTCATCGTCACGCAGTGCACACTGCCAGGCGGAGTAATATCCAGCGAAGCGCAGGTTGTAATGGGTA
-ATCACCACACCTTTCGGTCGGGAGGTGGTGCCGGAGGTGAAGAGAATTTCCGCCGTATCGTCAGTCGATA
-GCGGCGGTGCATAGCACAAGGTGGCAGGTTGTTGATTTTTCAGTTGAGTAAACGAACTCACGCCATCATC
-AGCGGGAAGTGCCACATCTGTCAGGCAAATGTGCCGCAATTGAGTGGCATCTTCCTGCTGAATCTGTTGA
-TACATAGGATAGAATTGCGCACTGGTTACCAGCAGGCACGCCTGGCTATTTTGCAGGATCCACGCGCTTT
-CCTCGCGTAACAGGCAGGCGTTAATCGGCACCATAATCGCGCCAATTTTTGCCAGCCCGAACCAGCAAAA
-GATAAATTCCGGGCAGTTGTCGAGATGTAGTGCAACCTTGTCGCCTTTGCGAATCCCCAGCGTATAAAAC
-AGGTTTGCCGTGCGGTTAATCTCCTGATTTAACTCAAGATAACTATACCGGTTAACGACTCCGCCGCTGG
-ATTCACAAATCAGCGCCGTTTTATGACCGTAAACGTCCGCAAGATCGTCCCACATTTGACGTAGATGTTG
-TCCGACAATGATATCCATTGCACCTCTATCCATTTTTGTTCGTTTGTTATTGGGCGGGCGCTAGTCAGGC
-AAGCCGACTGACGCCACGCGTTTAGTCCTCAACTTTGGCCAGACCTTTGCTGACCAACTCCTGAATGTCG
-TTTTCGCTGTAGCCGATATTTTTCAAAATGGCAGCCGTGTCCATGCCATGTGAGGGCATTCCGCGCCAGA
-TTTGTCCGGGGTTATTTTTGAATTTCGGCATGATGTTCGGCCCTTTGCAGGTGCGACCATCCATCGTTTG
-CCACTGAGTGATTGATTCGCGAGCCACATACTGTGGATTGCTTTCCAGTTCCGGTACGGTCAGCACTTTG
-GCGCAGGCGATATTCAGTTCAGCAAAGCGTTCTTTTACTTCCGCGATGGTATGTGTCGCCAGCCAGGCAT
-CGAGTTTCTCTTCAACCAGTGGGCCGTAAGGGCATTCGATACGGTGGATAAGCTGAGTGCCTTCCGGGAT
-TTCTGGCGTGCCAAGCAGATGTGCGAGGCCAATATCTTTAAAGCACTCTTCAATTTGGGTAATGCCCACC
-AGTTCCATCACGATGTAGCCGTCGGCACATTTATACAGACCGCAACCGGCGTAGTAGGGATCTTTACCTT
-TGCTCATGCGCGGGCACATTTCGCCGCCGTTGAAGTAATCCATCATGAAGTACTGGCCCATACGCAGCAT
-CACTTCATACATGGCGATGTCGATACTTTCGCCTTTACCGGTTTCACGCGCTTTATGCAGTGCTGCCAGC
-GCCGCCGTGGTGGCGGTCAGGCCAGAAAAGTAATCGGCGGTATACGGGAAGGCAGGCATTGGCTGGTCAA
-CATCACCGTTCTGAATCAGGTAACCACTGAAGGCCTGGGCGATGGTGTTTAGGCCGGAAGATTGGTGTAC
-TCCTCGGTGCCGTACTGACCAAAACCGGACAGGTGAGCGATAACCAGTTTCGGGTTGTGCTGCCACAGTA
-CTTCATCGGTAATGCCACGACGGGCAAAGGCCGGACCTTTACTGGCTTCGATGAAGATATCGGTGGTTTC
-CATTAATTTCAGAAACGCTTCGCGGCCTTCATCTTTGAAAATATTTAACGACAGCGCGTGCAAATTGCGG
-CGGGAGAGCTGCGGGTAGTTCGGTTGAACGCGAATGGTGTCGGCCCAGGCGACGTTCTCGATCCAGATAA
-CTTCCGCACCCCATTCTGCGAACATTTGCCCGGCGAACGGCCCGGCGATTTCGATACCGGAGAAGACAAC
-GCGCAATCCGGCCAACGGCCCGAATTTCGGCATGGGTAGATGATCCATTATTAGCTCCTGAAAAATTTAT
-GTAGCGCATGACTGCCGGATGCGGCGTAAACGCCTTATCCGGCCTACATTCGTGCTCCCGTAGGCCTGAT
-AAGACGCGTCAGCGTCGCATCAGGCAGCGCACGGACTTAGCGGTATTGCTTCAGCACCGCACGACCCAGC
-GTCAGGATCTGCATTTCGTCAGATCCTCCGGAAACGCGGTCTACACGCAGGTCACGCCAGAAGCGGCTGA
-TGCGGTGGTTGCCCGCAATCCCGACACCGCCCAGCACCTGCATTGCGCTATCCACCACTTCAAATGCCGC
-ATTGGCGCAGAAGTATTTGCACATCGCTGCATCGCCAGAGGTGATGGTGCCGTTGTCTGCTTTCCACGCT
-GCTTCATACAGCATGTTTTTCATGGAGTTTAATTTGATCGCCATGTGGGCGAATTTTTCCTGAATCAACT
-GGAAACGACCAATAGCCTCGCCAAACTGCACGCGCTGATTGGCGTAGCGCGCCGCATCTTCAAAGGCGCA
-CATCGCCGTACCGTAGTTGGTGAGGGCTACCAGGAAACGTTCATGGTCGAACTCTTCTTTGACGCGGTTA
-AAGCCGTTACCTTCCCGACCGAACATGTCTTTCTCGTCCAGTTCCACGTCGTCAAAGGTGATTTCACAGC
-AGCTATCCATACGCAGACCGAGCTTCTCAAGTTTGGTCACTTTGATGCCCGGTTTGCTCATATCAACAAA
-CCATTCGGTGTAGACAGGTTTGTCCGGAGAAGCCCCGTCGCGCGCCATCACCACGATGTACGGGGTGTAG
-GCGCTGCTGGTAATAAAACACTTACTACCATTAAGATAAATCTTACCATTTCTACGGGTATAAGTCGTTT
-TCAGGCTACCCACGTCGGAGCCCGCGCCCGGTTCGGTAATCGCTGAGTTCCACATCTGCTTACCGGTGCC
-GCGGAAAGCCATAATTTTGTCGATCTGCTCTTGTGTGCCTTCGCGCAGGAAGGTGTTGAACCCGCCCGGC
-AACTGGTACAGCACATAGGTTGGTGCCCCCAGACGTCCCAGCTCCATCCACACGGCGGCGAGAGTAACAA
-ACCCCGCGTCCAGACCACCGTGCTCTTCAGGGATCAGCAGACTGTCGATACCCATATCCGCCAGTGCTTT
-GACAAAACGTTCCGGGTAGACGCTGTCACGGTCGCACTCGGCAAAATAGGCCTCCCAGTTTTCGCTGGCC
-ATCAGTTCGCGGATACCGGCGACAAACAGTTCCTGCTCATCATTTAAATTAAAATCCATCTTTCAACCTC
-TTGATATTTTGGGGGTTAATTAATCTTTCCAGTTCTGTTTCGCGTCTTTAATAAAGGAGAGCGTCACCAT
-AATGTTGACGAAGAACAGCGGGCATCCTCCGGCGATAATGGCGGTTTGAATCGGTTTCAGGCCGCCGAGC
-GCCAGCAGAACAATACCGATAATGCCAACCAGAATTGACCAACCGATACGCACCAGCAGCGGTGGTTCTT
-CACCATCGCGTACTTCGCGGCAAGTGGACATCGCCAGGGTATAAGAGCAGGCGTTAACCAGCGTAACGGT
-GGCAATAAAGCAGAGGATGAAGAAGCCCCACATGGTGGCGGTGCTGAGTGGCAGAGCGGCCCAGGTTTCG
-ATGATGGCGCGCGCCACACCGTACTGTTCGATCAGATTTGGAATGTTGATGATGTTTTTATCCATCAACA
-GCAGAGTGTTACTACCGAGCACGGTCCACAGGATCCAGGTTGACGCTGTCAGCCCCAGCACCATGCCGAA
-GCACAGTTCACGCACAGTACGACCACGGGAGATGCGGGCGAGGAAGATACTCATCTGGATGGCGTAAATC
-ACCCACCATGCCCAGTAGAACACGGTCCAGCCCTGCGGGAAGCCGCCTTTAGCGATGGGATCGGTATAGA
-ACAACATGCGCGGCAGATACATCAGCAACATCCCCACCGAATCGGTGAAGTAGTTCATGATGAAGCTGGC
-ACCGCTGACAATGAACACCCAACCCAGCATCAGGAAGCTCAGGTAACTACGCACGTCACTGGCGATACGT
-ACCCCTTTTTGCAGACCGCAAGCGACGCAAATGGCGTTGAGGATAATCCAGCAGGTAATGATGATAGCGT
-CCAGTTGCAGGGTATGCGGAATGCCAAACAACCATTGCATACACTCGGTCACCAGCGGCGTGGCAAGGCC
-CAGACTGGTACCCATCGCGAAGATCAAGGCGACGAGATAGAAGTTGTCGACGATAGTGCCGAACAACCCT
-TTGACGTGTTTTTCACCTACCAGCGGCACCAGTGTCGAGCTGGGGCGAATCACTTCCATTTTGCGGACAA
-AGAAGAAGTAAGCGAAGGCGACTGAAAGGAAGCTGTAAGTGGCCCACGGCAGAGGTCCCCAGTGGAACAA
-GCTGTAAGCCAGCCCCAACTCTTTCGCGCCTGTCGAGTTCGGTTCTAAGCCAAACGGCGGGGTGGAGATG
-TAGTAGTAGATCTCAATCGATCCCCAGAACAGTACGGCAGCAGACGTACAGGAGGCGAACATCATAAAGA
-TCCAACTGGCGGTACTAAATTCAGGTGGTTCGTTACCTAAACGCTTTTTGGCATACGGGCCAAACACCAG
-CCAGAACCAACCGAAAAGCATCACCACCATATACCATTCAAATGCCCATCCCCATACATTGGTGACGTAA
-CTGAATACAGCATTAATAACGACATTCGCTGCATCCAGATCTCTGACTGTAAGCCAACAAAGTATGCCGA
-CGATTATTAACGGCGGAAAGAAAACCTTCGGTTCTATTCCCGTTTTTCTCTTTTCATTCTTCATGAGTTA
-ATTCCACTGTGAAAACGAATATTTATTTTGCGTTCCCGTTTGTTTTATTTTTGTTAACATTTAATATAAT
-TATTATTAACCTCGTGGACGCGTTAATGGCTAACTCATAATGGGTATTCAATAAGCTGCATTCTGTGATT
-GTTATCACATTTTTGTTTCGGGTGAATAGAGGGCGCTTTTCTCGTTAATTTTGATTATTAATCAGTTTGT
-TATGTTGTGTTGTGAGTAAAAAAATAGCATCTGACTTTCAATATTGGTGATCCATAAAGCAATATTGAAA
-ATTTCTTTTTGCTACGCCATGTTTTCAATATTGGTGAGGAACTTAACAATATTGAAAGTTGGATTTATCT
-GCGTGTGACATTTTCAATATTGGTGATTAAAGTTTTATTTCCAAATTAAAGGGCGTGATATCTGTAATTA
-ACACCACCGATATGAACGACGTTTCCTTCATGATTTCTGGAGATGCAATGAAGATTATTACTTGCTATAA
-GTGCGTGCCTGATGAACAGGATATTGCGGTCAATAATGCTGATGGTTCATTAGACTTCAGCAAAGCCGAT
-GCCAAAATAAGCCAATACGATCTGAACGCTATTGAAGCGGCTTGCCAGCTAAAGCAACAGGCAGCAGAGG
-CGCAGGTGACGGCCTTAAGTGTGGGCGGTAAAGCCCTGACCAACGCCAAAGGGCGTAAAGATGTGCTATC
-GCGCGGCCCGGATGAACTGATTGTGGTGATTGATGACCAGTTCGAGCAGGCACTGCCGCAACAAACGGCG
-AGCGCACTGGCTGCAGCCGCCCAGAAAGCAGGCTTTGATTTGATCCTCTGTGGCGATGGTTCTTCCGACC
-TTTATGCCCAGCAGGTTGGTCTGCTGGTGGGCGAAATCCTCAATATTCCGGCAGTTAACGGCGTCAGCAA
-AATTATCTCTCTGACTGCAGATACCCTCACCGTTGAGCGCGAACTGGAAGATGAAACCGAAACCTTAAGC
-ATTCCGCTGCCTGCGGTTGTTGCTGTTTCCACTGATATCAATTCCCCACAAATTCCTTCGATGAAAGCCA
-TTCTCGGCGCGGCGAAAAAGCCCGTCCAGGTATGGTCGGCGGCGGATATTGGTTTTAACGCAGAGGCAGC
-CTGGTCAGAACAACAGGTTGCCGCGCCGAAACAGCGCGAACGTCAGCGCATCGTGATTGAAGGCGACGGC
-GAAGAACAGATCGCCGCATTTGCTGAAAATCTTCGCAAAGTCATTTAATTACAGGGGATGCTATGAACAC
-GTTTTCTCAAGTCTGGGTATTCAGCGATACCCCTTCTCGTCTGCCGGAACTGATGAACGGTGCGCAGGCT
-TTAGCTAATCAAATCAACACCTTTGTCCTCAATGATGCCGACGGCGCACAGGCAATCCAGCTCGGCGCTA
-ATCATGTCTGGAAATTAAACGGCAAACCGGACGATCGGATGATCGAAGATTACGCCGGTGTCATGGCTGA
-CACTATTCGCCAGCACGGCGCAGACGGTCTGGTGCTGCTGCCAAACACCCGTCGCGGCAAATTACTGGCG
-GCAAAACTGGGTTATCGCCTTAAAGCGGCGGTGTCTAACGATGCCAGCACCGTCAGCGTACAGGACGGTA
-AAGCGACAGTGAAACACATGGTTTACGGTGGTCTGGCGATTGGCGAAGAACGCATTGCCACGCCGTATGC
-GGTACTGACCATCAGCAGCGGCACGTTCGATGCGGCTCAGCCAGACGCGTCACGCACTGGCGAAACGCAC
-ACCGTGGAGTGGCAGGCTCCGGCTGTGGCGATTACCCGCACGGCAACCCAGGCGCGCCAGAGCAACAGCG
-TCGATCTCGACAAAGCCCGTCTGGTGGTCAGCGTCGGTCGCGGTATTGGCAGCAAAGAGAACATTGCGCT
-GGCAGAACAGCTTTGCAAGGCGATAGGTGCGGAGTTGGCCTGTTCTCGTCCGGTGGCGGAAAACGAAAAA
-TGGATGGAGCACGAACGCTATGTCGGTATCTCCAACCTGATGCTGAAACCTGAACTGTACCTGGCGGTGG
-GGATCTCCGGGCAGATCCAGCACATGGTTGGCGCTAACGCGTCGCAAACCATTTTCGCCATCAATAAAGA
-TAAAAATGCGCCGATCTTCCAGTACGCGGATTACGGCATTGTTGGCGACGCCGTGAAGATCCTTCCGGCG
-CTGACCGCAGCTTTAGCGCGTTGATCCACTCTGGCAGGGCTGCATTTTGGCCCTGCCGCTGACAGGGAGC
-TCTTATGTCCGAAGATATCTTTGACGCCATCATCGTCGGTGCAGGGCTTGCCGGTTCGGTTGCCGCACTG
-GTGCTCGCCCGCGAAGGTGCGCAAGTGTTAGTTATCGAGCGTGGCAATTCCGCAGGTGCCAAGAACGTCA
-CCGGCGGGCGTCTCTATGCCCACAGTCTGGAACACATTATTCCTGGTTTCGCCGACTCCGCCCCCGTAGA
-ACGCCTGATCACCCATGAAAAACTCGCGTTTATGACGGAAAAGTCAGCGATGACTATGGACTACTGCAAT
-GGTGACGAAACCTCGCCATCCCAGCGTTCTTACTCCGTTTTGCGCAGTAAATTTGATGCCTGGCTGATGG
-AGCAGGCCGAAGAAGCGGGCGCGCAGTTAATTACCGGGATCCGCGTCGATAACCTCGTACAGCGCGATGG
-CAAAGTCGTCGGTGTAGAAGCCGATGGCGATGTGATTGAAGCGAAAACGGTGATCCTTGCTGATGGGGTG
-AACTCCATCCTTGCCGAAAAATTGGGGATGGCAAAACGCGTCAAACCGACGGATGTGGCGGTTGGCGTGA
-AGAAACTGATCGAGTTACCGAAGTCGGTTATTGAAGACCGTTTTCAGTTGCAGGGTAATCAGGGGGCGGC
-TTGCCTGTTTGCGGGATCACCCACCGATGGCCTGATGGGCGGCGGCTTCCTTTATACCAATGAAAACACC
-CTGTCGCTGGGGCTGGTTTGTGGTTTGCATCATCTGCATGACGCGAAAAAATCGGTGCCGCAAATGCTGG
-AAGATTTCAAACAGCATCCGGCCGTTGCATCGCTGATCGCGGGCGGCAAGCTGGTGGAATATTCCGCTCA
-CGTAGTGCCGGAAGCAGGCATCAACATGCTGCCGGAGTTGGTTGGTGACGGCGTATTGATTGCCGGTGAT
-GCCGCCGGAATGTGTATGAACCTCGGTTTTACCATTCGCGGTATGGATCTGGCGATTGCCGCCGGGGAAG
-CCGCAGCAAAAACCGTGCTTTCAGCGATGAAAAGCGACGATTTCAGTAAGCAAAAACTGGCGGAATATCG
-TCAGCATCTTGAGAGTGGTCCGCTGCGCGATATGCGTATGTACCAGAAACTACCGGCGTTCCTTGATAAC
-CCACGCATGTTTAGCGGCTACCCGGAGCTGGCGGTGGGTGTGGCGCGTGACCTGTTCACCATTGATGGCA
-GCGCGCCGGAACTGATGCGCAAGAAAATCCTCCGCCACGGCAAGAAAGTGGGCTTCATCAATCTAATCAA
-GGATGGCATGAAAGGAGTGACCGTTTTATGACTTCTCCCGTCAATGTGGACGTCAAACTGGGCGTCAATA
-AATTCAATGTCGATGAAGAGCATCCGCACATTGTTGTGAAGGCCGATGCTGATAAACAGGCGCTGGAGCT
-GCTGGTGAAAGCGTGCCCCGCAGGTCTGTACAAGAAGCAGGATGACGGCAGTGTGCGCTTCGATTACGCC
-GGATGTCTGGAGTGCGGCACCTGTCGCATTCTGGGGCTGGGGTCGGCGCTGGAACAGTGGGAATACCCGC
-GCGGCACCTTTGGTGTGGAGTTCCGTTACGGCTGATGTTGGTTTGATACGTAACGCCGCACTGACTCTCA
-TTGCAAAAAACAGGAATAACCATGCAACCGTCCAGAAACTTTGACGATCTCAAATTCTCCTCTATTCACC
-GCCGCATTTTGCTGTGGGGAAGCGGTGGTCCGTTTCTGGATGGTTATGTACTGGTAATGATTGGCGTGGC
-GCTGGAGCAACTGACGCCGGCGCTAAAACTGGACGCTGACTGGATTGGCTTGTTGGGCGCGGGAACGCTC
-GCCGGGCTGTTCGTTGGCACATCGCTGTTTGGCTATATTTCCGATAAAGTCGGACGGCGCAAAATGTTCC
-TCATTGATATCATCGCCATCGGCGTGATATCGGTGGCGACGATGTTTGTTTCATCCCCCGTCGAACTGTT
-GGTGATGCGGGTACTTATCGGCATTGTCATCGGTGCAGATTATCCCATCGCCACCTCAATGATCACCGAG
-TTCTCCAGTACCCGTCAGCGGGCGTTTTCCATCAGCTTTATCGCCGCCATGTGGTATGTCGGCGCGACCT
-GCGCCGATCTGGTCGGCTACTGGCTTTATGATGTGGAAGGCGGCTGGCGCTGGATGCTGGGTAGCGCGGC
-GATCCCCTGTTTGTTGATTTTGATTGGTCGATTCGAACTGCCTGAATCTCCCCGCTGGTTATTACGCAAA
-GGGCGAGTAAAAGAGTGCGAAGAGATGATGATAAAACTGTTTGGCGAACCGGTGGCTTTCGATGAAGAGC
-AGCCGCAGCAAACCCGTTTTCGCGATCTGTTTAATCGCCGCCATTTTCCTTTTGTTCTGTTTGTTGCCGC
-CATCTGGACCTGCCAGGTGATCCCAATGTTCGCCATTTACACCTTTGGCCCGCAAATCGTTGGTTTGTTG
-GGATTGGGTGTTGGCAAAAACGCGGCGCTGGGGAACGTGGTGATTAGCCTGTTCTTTATGCTCGGCTGTA
-TTCCGCCGATGCTGTGGTTAAACACTGCCGGACGGCGTCCATTGTTGATTGGCAGCTTTGCCATGATGAC
-GCTGGCGCTGGCGGTTTTGGGGCTGATCCCGGATATGGGGATCTGGCTGGTAGTGATGGCCTTTGCGGTG
-TATGCCTTTTTCTCTGGCGGGCCGGGTAATTTGCAGTGGCTCTATCCTAATGAACTCTTCCCGACAGATA
-TCCGCGCCTCTGCCGTGGGCGTGATTATGTCCTTAAGCCGTATTGGCACCATTGTTTCGACCTGGGCACT
-GCCGATCTTTATCAATAATTACGGTATCAGTAACACGATGCTAATGGGGGCGGGTATCTCGCTGTTTGGC
-TTGTTGATTTCCGTAGCGTTTGCCCCGGAGACTCGAGGGATGTCACTGGCGCAAACCAGCAATATGACGA
-TCCGCGGGCAGAGAATGGGGTAAATTGTTCAGATTTCTCTCTTTTCTGAATCAATATTATTGACTATAAG
-CCGCGTGAATATATGACTACACTTTGTGGGAAAACAAAGGCGTAATCACGCGGGCTACCTATGATTCTTA
-TAATTTATGCGCATCCGTATCCGCATCATTCCCATGCGAATAAACGGATGCTTGAACAGGCAAGGACGCT
-GGAAGGCGTCGAAATTCGCTCTCTTTATCAACTCTATCCTGACTTCAATATCGATATTGCCGCCGAGCAG
-GAGGCGCTGTCTCGCGCCGATCTGATCGTCTGGCAGCACCCGATGCAGTGGTACAGCATTCCTCCGCTCC
-TCAAACTTTGGATCGATAAAGTTTTCTCCCACGGCTGGGCTTACGGTCATGGCGGCACGGCGCTGCATGG
-CAAACATTTGCTGTGGGCGGTGACGACCGGCGGCGGGGAAAGCCATTTTGAAATTGGTGCGCATCCGGGC
-TTTGATGTGCTGTCGCAGCCGCTACAGGCGACGGCAATCTACTGCGGGCTGAACTGGCTGCCACCGTTTG
-CCATGCACTGCACCTTTATTTGTGACGACGAAACCCTCGAAGGGCAGGCGCGTCACTATAAGCAACGTCT
-GCTGGAATGGCAGGAGGCCCATCATGGATAGCCATACGCTGATTCAGGCGCTGATTTATCTCGGTTCGGC
-AGCGCTGATTGTACCCATTGCGGTACGTCTTGGTCTGGGATCGGTACTTGGCTACCTGATCGCCGGCTGC
-ATTATTGGCCCGTGGGGGCTGCGACTGGTGACCGATGCCGAATCTATTCTGCACTTTGCCGAGATTGGGG
-TGGTGCTGATGCTGTTTATTATCGGCCTCGAACTCGATCCACAAAGGCTGTGGAAGCTGCGTGCGGCAGT
-GTTCGGCGGTGGCGCATTGCAGATGGTGATTTGCGGCGGCCTGCTGGGGCTGTTCTGCATGTTACTTGGG
-CTGCGCTGGCAGGTCGCGGAATTGATCGGCATGACGCTGGCGCTCTCCTCTACGGCGATTGCCATGCAGG
-CGATGAATGAACGCAATCTGATGGTGACGCAAATGGGTCGCAGTGCCTTTGCGGTGCTGCTGTTCCAGGA
-TATCGCGGCGATCCCGCTGGTGGCGATGATTCCGCTACTGGCAACGAGCAGTGCCTCGACGACGATGGGC
-GCATTTGCTCTCTCGGCGTTAAAAGTGGCGGGTGCGCTGGTGCTGGTGGTATTGCTGGGGCGCTATGTCA
-CGCGTCCGGCGCTGCGTTTTGTAGCCCGCTCTGGCTTGCGGGAAGTGTTTAGTGCCGTGGCGTTATTCCT
-CGTGTTTGGCTTTGGTTTGCTGCTGGAAGAGGTCGGCTTGTCGATGGCGATGGGCGCGTTTCTGGCGGGC
-GTACTGCTGGCAAGCTCGGAATACCGTCATGCGCTGGAGAGCGATATCGAACCATTTAAAGGTTTGCTGT
-TGGGGCTGTTTTTCATCGGTGTTGGCATGTCGATAGACTTTGGCACGCTGCTTGAAAACCCATTGCGCAT
-TGTCATTTTGCTGCTCGGTTTCCTCATCATCAAAATCGCCATGCTGTGGCTGATTGCCCGACCGTTGCAA
-GTGCCAAATAAACAGCGTCGTTGGTTTGCGGTGTTGTTAGGGCAGGGCAGTGAGTTTGCCTTTGTGGTAT
-TTGGCGCGGCGCAGATGGCGAATGTGCTGGAGCCGGAGTGGGCGAAATCGCTGACCCTGGCGGTGGCGCT
-GTCGATGGCAGCAACGCCGATTCTGCTGGTGATCCTCAATCGCCTTGAGCAATCTTCTACTGAGGAAGCG
-CGTGAAGCCGATGAGATCGACGAAGAACAGCCGCGCGTGATTATCGCCGGATTCGGTCGTTTTGGGCAGA
-TTACCGGACGTTTACTGCTCTCCAGCGGGGTGAAAATGGTGGTACTCGATCACGATCCGGACCATATCGA
-AACCTTGCGTAAATTTGGTATGAAAGTGTTTTATGGCGATGCCACGCGGATGGATTTACTGGAATCTGCC
-GGAGCGGCGAAAGCGGAAGTGCTGATTAACGCCATCGACGATCCGCAAACCAACCTGCAACTGACAGAGA
-TGGTGAAAGAACATTTCCCGCATTTGCAGATTATTGCCCGCGCCCGCGATGTCGACCACTACATTCGTTT
-GCGTCAGGCAGGCGTTGAAAAGCCGGAGCGTGAAACCTTCGAAGGTGCGCTGAAAACCGGGCGTCTGGCA
-CTGGAAAGTTTAGGTCTGGGGCCGTATGAAGCGCGAGAACGTGCCGATGTGTTCCGCCGCTTTAATATTC
-AGATGGTGGAAGAGATGGCAATGGTTGAGAACGACACCAAAGCCCGCGCGGCGGTCTATAAACGCACCAG
-CGCGATGTTAAGTGAGATCATTACCGAGGACCGCGAACATCTGTCATTAATTCAACGACATGGCTGGCAG
-GGAACCGAAGAAGGTAAACATACCGGCAACATGGCGGATGAACCGGAAACGAAACCCTCATCCTAATAAA
-GAGTGACGTAAATCACACTTTACAGCTAACTGTTTGTTTTTGTTTCATTGTAATGCGGCGAGTCCAGGGA
-GAGAGCGTGGACTCGCCAGCAGAATATAAAATTTTCCTCAACATCATCCTCGCACCAGTCGACGACGGTT
-TACGCTTTACGTATAGTGGCGACAATTTTTTTTATCGGGAAATCTCAATGATCAGTCTGATTGCGGCGTT
-AGCGGTAGATCGCGTTATCGGCATGGAAAACGCCATGCCGTGGAACCTGCCTGCCGATCTCGCCTGGTTT
-AAACGCAACACCTTAAATAAACCCGTGATTATGGGCCGCCATACCTGGGAATCAATCGGTCGTCCGTTGC
-CAGGACGCAAAAATATTATCCTCAGCAGTCAACCGGGTACGGACGATCGCGTAACGTGGGTGAAGTCGGT
-GGATGAAGCCATCGCGGCGTGTGGTGACGTACCAGAAATCATGGTGATTGGCGGCGGTCGCGTTTATGAA
-CAGTTCTTGCCAAAAGCGCAAAAACTGTATCTGACGCATATCGACGCAGAAGTGGAAGGCGACACCCATT
-TCCCGGATTACGAGCCGGATGACTGGGAATCGGTATTCAGCGAATTCCACGATGCTGATGCGCAGAACTC
-TCACAGCTATTGCTTTGAGATTCTGGAGCGGCGGTAATTTTGTATAGAATTTACGGCTAGCGCCGGATGC
-GACGCCGGTCGCGTCTTATCCGGCCTTCCTATATCAGGCTGTGTTTAAGACGCCGCCGCTTCGCCCAAAT
-CCTTATGCCGGTTCGACGGCTGGACAAAATACTGTTTATCTTCCCAGCGCAGGCAGGTTAATGTACCACC
-CCAGCAGCAGCCGGTATCCAGCGCGTATATACCTTCCGGCGTACCTTTGCCCTCCAGCGATGCCCAGTGA
-CCAAAGGCGATGCTGTATTCTTCAGCGACAGGGCCAGGAATCGCAAACCACGGTTTCAGTGGGGCAGGGG
-CCTCTTCCGGCGATTCTTTGCTGTACATATCCAGTTGACCGTTCGGGAAGCAAAAACGCATACGGGTAAA
-AGCGTTGGTGATAAAACGCAGTCTTCCCAGCCCCCGCAATTCCGGTGACCAGTTATTTGGCATATCGCCG
-TACATAGCGTCGAGAAAGAAGGGATAGGAGTCACTCGATAGCACCGCTTCTACATCGCGCGCGCACTCTT
-TGGCGGTCTGTAGATCCCACTGCGGCGTGATCCCTGCGTGGGCCATCACCAACTTTTTCTCTTCGTCGAT
-TTGCAGCAAAGGCTGGCGACGCAGCCAGTTAAGCAGCTCGTCGGCATCCGGCGCTTCCAGCAGCGGTGTC
-AGGCGATCTTTCGGTTTATTGCGGCTGATCCCGGCAAATACCGCCAGCAGATGCAGATCGTGATTGCCCA
-GCACCAGACGTACGCTGTCGCCTAAGGATTTCACATAGCGCAGAACATCCAGCGAACCCGGGCCGCGCGC
-GACCAGATCGCCCGTTAGCCAGAGGGTATCTTTCCCAGGGGTAAATTCTACTTTATGCAGCAATGCGATC
-AGTTCATCGTAACAACCATGAACGTCGCCAATAAGGTATGTCGCCATATTCTTTTAATGAATGAGTGTGG
-GAACGGCGAGTCGGAATACGGGAATGTCGATGCTGAAAGGGACGCCATTTTCATCGATCATTTCGTAGTG
-ACCCTGCATGGTGCCCAGCGGGGTTTCAATGATTGCACCGCTGGTGTACTGGTACTCTTCGCCAGGCGCG
-ATAAGTGGCTGGACGCCAACCACTCCTTCGCCCTGGACTTCGGTTTCACGGCCATTGCCATTGGTGATCA
-GCCAGTAACGCCCCAACAACTGCACTGGCGCTCGCCCCAGATTGCGTATGGTTACGGTATAAGCAAAAAC
-GTAACGTTCATTATCAGGTGAAGATTGTGCCTCAATGTAGACGCTTTGAACCTGAATACACACTCGGGGC
-GAATTGATCATCGTTAACTCTCCTGCAAAGGCGCGTTCTCCGCCAGATAGTTCGCCATCTGGCAATATTG
-CGCGACAGAGATATTTTCCGCTCGCATCGCCGGGTCGATCCCCATTCCCGTTAACACCTCGACGCTAAAC
-AGGTTGCCGAGGCTGTTACGGATGGTTTTACGACGCTGGTTAAAGGCTTCGGTGGTGATGCGGCTCAACA
-CACGAACATCTTTAACCGGGTGAGGCATCGTTGCATGAGGAACCAGGCGCACGACGGCGGAATCCACTTT
-GGGTGGTGGTGTAAAGGCTGACGGCGGTACTTCCAGCACTGGGATCACGTTGCAATAGTATTGCGCCATG
-ACGCTTAATCGACCATACGCTTTGCTGTTCGGTCCTGCAACCAGACGATTCACCACCTCTTTTTGCAACA
-TAAAGTGCATGTCGGCAATGGCATCAGTATAGCTAAACAGATGGAACATCAACGGCGTGGAGATGTTATA
-AGGCAGGTTGCCGAAAACACGCAGCGGCTGACCCATTTTCTCGGCCAGTTCGCCAAAGTTAAAGGTCATC
-GCATCCTGCTGATAAATCGTCAGTTTCGGGCCTAAGAATGGATGCGTTTGCAGACGTGCCGCCAGATCGC
-GGTCAAGTTCGATGACCGTCAGCTGGTCCAGACGTTCGCCGACCGGCTCGGTCAATGCCGCCAGACCGGG
-GCCGATTTCGACCATTGCCTGGCCCTTTTGCGGGTTAATGGCAGACACAATACTGTCGATCACGAACTGA
-TCGTTGAGAAAGTTTTGCCCGAAGCGTTTACGGGCTAAGTGGCCCTGGTGGACTCGATTATTCATTGGGT
-GTTAACAATCATTTTGATGGCGAGATTAAGCGCCGTAATAAAACTGCCGACATCGGCTTTGCCACGTCCC
-GCCAGTTCAAGCGCGGTGCCGTGGTCCACTGATGTGCGAATAAAGGGCAGGCCCAGCGTAATGTTCACAC
-CGCGCCCGAAGCCCTGGTATTTTAGCACGGGAAGACCCTGATCGTGGTACATCGCCAGCACGGCGTCGGC
-GTTATCAAGATATTTCGGCTGAAACAGGGTATCGGCAGGCAGCGGCCCGTTGAGTTTCATCCCCTGCGCC
-CGCAGCTCATTGAGCACCGGAATAATGGTGTCTATCTCTTCCGTACCCATATGACCGCCTTCGCCCGCGT
-GCGGATTCAGCCCGCAGACCAGAATGCGCGGTTCGGCAATACCAAATTTGGTCCGCAAATCGTGATGCAA
-AATAGCAATCACTTCGTGCAAAAGTGCAGGGGTGATAGCGTCTGCGATATCGCGCAGCGGTAAATGCGTC
-GTTGCCAGCGCCACGCGAAGTTCTTCGGTCGCCAGCATCATCACCACCTTTTTCGCCTGCGAACGCTCTT
-CGAAAAACTCGGTATGACCGGTAAAAGGAATGCCAGCGTCGTTAATAACGCCTTTATGCACCGGACCTGT
-GATCAGCGCGGCAAATTCGCCGTTCAGACAACCATCGCACGCTCGCGCCAGCGTTTCCACCACATAATGC
-CCATTTTCAACCGCTAACTGCCCCGCAGTGACAGGTGCACGTAGCGCGACAGGAAGTAGCGTTAATGTGC
-CCGCAGTTTGCGGTTGTGCAGGGGAGTTGGGGGAATAAGGGCGGAGGGTGAGCGGCAAACCGAGCATCGC
-TGCCCGGTTGGTAAGGAGAGTGGCATCGGCACAAACAACCAGTTCGACCGGCCACTCACGCTGTGCAAGC
-TGGACAACTAAGTCCGGGCCAATCCCGGCGGGCTCGCCGGGAGTGATCACAACACGTTGGGTTTTAACCA
-TTAGTTGCTCAGGATTTTAACGTAGGCGCTGGCACGTTGTTCCTGCATCCAGCTTGCTGCTTCTTCCGAG
-AACTTACGGTTCATCAGCATGCGGTATGCACGATCTTTCTGCGCAGCGTCGGTTTTATCGACATTTCGGG
-TATCCAGCAGTTCGATTAAATGCCAGCCGAATGAAGAGTGAACCGGTGCACTCATTTGACCTTTGTTCAG
-GCGGGTCAGGGCGTCACGGAAAGCCGGATCGAAAATATCTGGTGTAGCCCAGCCGAGATCGCCGCCCTGG
-TTAGCAGAGCCTGGATCCTGAGAGAACTCTTTCGCTGCGGCAGCAAAAGTCGTTTTACCACTCTTGATAT
-CAGCAGCAATCTGTTCCAGTTTCACACGGGCCTGTTCGTCAGTCATGATCGGCGACGGTTTCAGCAGAAT
-ATGGCGAGCATGAACTTCGGTCACCGAGATATTTTTGCTTTCGCCGCGCAGGTCGTTAACTTTCAGAATA
-TGGAAGCCAACGCCGGAACGAATCGGGCCAACAATGTCGCCTTTCTTCGCGGTGCTTAATGCCTGGGCGA
-AGATCCCGGGCAACTCCTGAATACGGCCCCAGCCCATCTGGCCGCCGTTCAGCGCCTGCTGGTCGGCAGA
-ATGAGCAATCGCCAGCTTACCGAAATCAGCGCCGTTACGCGCCTGATCGACAATGGCGCGCGCCTGGCTT
-TCCGCTTCGTTCACCTGATCAGAGGTCGGGTTTTCCGGCAGCGGGATCAGGATGTGGCTCAGGTTCAGCT
-CAGTGCTGGCGTCGTTTTGGTTACCCACCTGCTGCGCCAGGGATTCGACTTCCTGCGGCAGGATGGTGAT
-GCGACGACGCACCTCGTTGTTACGCACTTCAGAGATAATCATCTCTTTGCGGATCTGGTTACGATAGGTG
-TTGTAGTTCAGTCCATCGTAAGCCAGACGGCTGCGCATCTGATCCAGCGTCATGTTGTTCTGTTTCGCGA
-TGTTAGCAATCGCCTGATCCAGCTGCTCATCGGAGATTTTCACTCCCATTTTCTGCCCCATCTGCAGGAT
-GATTTGATCCATGATCAAACGTTCCATGATTTGGTGGCGCAGCGTCGCGTCATCAGGAAGTTGCTGCCTT
-GCCTGAGCAGCGTTCAGTTTTACCGACTGCATTAATCCATCAACGTCGCTTTCCAGCACGACGCCGTTAT
-TGACGACGGCTGCGACTTTATCGACTACCTGGGGGGCAGCGAAACTGGTATTCGCGATCATGGCGATACC
-GAGAAGCAGCGTTTTCCAGTTCTTCATACTTTTTCCATTTCAATTAACCGCACTGCGGATTACGTGGTAA
-ATCAACAAATCACAAAGTGTTTTGATACGGCAGAATGTTCGAACGCAGCATCTCTTGCGTACCCAGACCG
-TAGTTGGAGCTCAGGCCGCGAAGTTCGATGTTAAAGCCGATTGCGTTGTCATATACCGCATGTTGTTTAT
-CGTTATCCCAACCGTTCAGCTTCCGCTCGTAACCGACGCGAATTGCATAGCAGCAGGAGCTGTATTGCAC
-ACCTAACATAGAGTCGGCTTGCTTGTTAGCATTGGTGTCGTAGTAGTAGGCCCCAACAATGGACCAACGA
-TCGGCAATTGGCCAGCTGGCGACAGCACCTACCTGCGAAATACCATTCTTATATTGCTCAGCAGTGGAAT
-AGTACTTAGGCAGCGTAGCCTGAATATATTCCGGGCTGGCGTAACGGTAATTCAGCTGTACCAGACGGTC
-TTCATCCCGACGGTATTCAATGCTGGAGTTACTGGTCGCTACGTTATCCAGACGTGTATCGTACTGAATC
-CCGCCACGCAATCCCCAACGCTCGGAGATACGCCAGTAAGTATCGCCTGCCCACACCAGTGAACCCGTTT
-TGTCGTCATTCTCCCATGTTATGTTGTCATCGCCAGTGCGAGACTCCGTGAAATAGTAGATTTGACCAAC
-GGAAATATTAAAACGTTCAACGGCAGCATCATCATATATGCGAGATGTGACACCGGTCGTCACCTGGTTA
-GCGGAGGCAATACGGTCAAGACCGCCGTAAGTCCGGTCCCGGAACAGGCCAGAGTAGTCAGATTGCAGCA
-GAGACGAGTCGTAGTTATAGATGTCGCTCTGATCGCGATACGGCACGTACAAATACTGCGCGCGCGGTTC
-CAGCGTTTGGGTATAACCCGGAGCCAGCATTTCCATATCGCGTTCAAAGACCATTTTGCCGTCAACTTTG
-AATTGCGGCATTACGCGGTTAACGGATTCGTCCAGCTTGGTCGTGTTTCTGGAGTTATACCAGTCAAGAT
-TGGTTTGCTGATAATGGGTTGCCAGCAACTTCGCTTCGGTATTGATGCTGCCCCAGTTATTAGAGAGCGG
-CAAATTGATGGTCGGTTCCAGGTGAACACGGGTTGCTTCAGGCATGTCGTCTCTGGTGTTAACAAAGTGC
-ACTGCCTGGCCGTAAATACGCGTATCAAACGGACCAACATCATTCTGGTAGTAATTAACGTCTAACTGCG
-GCTCTGCCGAGTAGCTACTGGTGTTCTGTTCGCTGAAAACCTGGAACTGCTTGGTTGAAACGGTGGCATT
-GAAGTTTTGCACCGCATAGCCAACGCTGAATTTTTGCGTTGCGTAGCCGTCAGTACTGGAACCGTACTTG
-TTATCGAAATCATTGAAGTAGCTAGGATCGCTGACCTTGGTGTAGTCGACGTTGAAACGCCACACCTGAT
-CCATGACCCCGGAGTGGTTCCAGTAGAATAACCAACGACGTGAACTGTCATCGTTCGGGTGTTCATCTTC
-ATAGACTTTATCTGAAGGCAGATAGTCCAGTTCCATCAAGCCAGCGCCCGCTTGGGAGAGGTAGCGGAAT
-TCGTTCTCCCACATGATGTTGCCACGACGATGCATATAATGCGGCGTGATGGTGGCATCCATATTTGGCG
-CGATGTTCCAGTAATATGGCAGGTAGAACTCAAAGTAGTTGGTGGTGGTGTACTTGGCGTTCGGGATCAA
-GAAACCAGAGCGACGTTTGTCACCCACCGGCAACTGCAAATAGGGGCTATAAAAGATCGGTACCGGACCC
-ACCTTAAAGCGGGCGTTCCAGATCTCCGCAACTTGTTCTTCGCGGTCATGAATAATTTCGCTACCTACCA
-CGCTCCAGGTGTCAGAACCCGGCAGACAGGAGGTAAAGCTACCGTTATCCAGAATGGTATAGCGGTTTTC
-GCCACGTTGTTTCATCAGGTCCGCTTTACCGCGACCCTGGCGACCCACCATCTGGTAATCACCTTCCCAG
-ACGTTGGTATCTTTGGTGTTCAGATTCGCCCAGCCTTTCGGCCCTTTGAGGATCACCTGGTTATCGTCGT
-AATGGACATTACCGAGCGCATCAACGGTTCGTACCGGCTCCGGTTGTCCTGGTGCCTCTTTTTGATGGAG
-CTGCACTTCGTCGGCCTGCAGACGGCTGTTACCCTGCATGATATCCACGCTGCCAGTAAACACGGCGTCA
-TCCGGGTAGTCCCCTTTCGCGTGGTCAGCATTGATAGTCACGGGTAAGTCATTGGTATCGCCCTGTACCA
-GAGGACGGTCATAGCTTGGCACGCCCAACATGCACTGTGAGGCGAGGTCGGCTGCCAGTCCCTGTTGACT
-ATAAAGGGCGGTGGCAATCATGGTGGCCAGGAGAGTGGGGATACGTTTTTTCATACGTTGATTTTATTGT
-TCCATCATCGGTAACGTTGCGCGTGACAAACGGTCAGAGACTAACGTACTCGTCATCTCTACGCTAGTGT
-TAATCCTGTCCGAATAGCGTCAGTGGTGTTAGGCACGGCATTGAATGACAGGTATGATAATGCAAATTAT
-AGGCGATGTCCCACAATTGACCGCAGCCGGAAAACGGTAAAAGCACCTTTATATTGTGGGAGATAGCCCT
-GATATCCGTGTGTCGATTTGGGGAATATATGCAGTATTGGGGAAAAATCATTGGCGTGGCCGTGGCCTTA
-CTGATGGGCGGCGGCTTTTGGGGCGTAGTGTTAGGCCTGTTAATTGGCCATATGTTTGATAAAGCCCGTA
-GCCGTAAAATGGCGTGGTTCGCCAACCAGCGTGAGCGTCAGGCGCTGTTTTTTGCCACCACTTTTGAAGT
-GATGGGGCATTTAACCAAATCCAAAGGTCGCGTCACGGAGGCTGATATTCATATCGCCAGCCAGTTGATG
-GACCGAATGAATCTTCATGGCGCTTCCCGTACTGCGGCGCAAAATGCGTTCCGGGTGGGAAAATCAGACA
-ATTACCCGCTGCGCGAAAAGATGCGCCAGTTTCGCAGTGTCTGCTTTGGTCGTTTTGACTTAATTCGTAT
-GTTTCTGGAGATCCAGATTCAGGCGGCGTTTGCTGATGGTTCACTGCACCCGAATGAACGGGCGGTGCTG
-TATGTCATTGCAGAAGAATTAGGGATCTCCCGCGCTCAGTTTGACCAGTTTTTGCGCATGATGCAGGGCG
-GTGCACAGTTTGGCGGCGGTTATCAGCAGCAAACTGGCGGTGGTAACTGGCTGCAAGCGCAGCGTGGCCC
-AACGCTGGAAGATGCCTGTAATGTGCTGGGCGTGAAGCCGACGGATGATGCGACCACCATCAAACGTGCC
-TACCGTAAGCTGATGAGTGAACACCATCCCGATAAGCTGGTGGCGAAAGGTTTGCCGCCTGAGATGATGG
-AGATGGCGAAGCAGAAAGCGCAGGAAATTCAGCAGGCATATGAGCTGATAAAGCAGCAGAAAGGGTTTAA
-ATAAGTTTTAAACTGTAGGCCTGATAAGACGCGGCCCGCGTCGCATCAGGCAATCGGCGCACAATTGCCG
-GATGCGGCGTGAACGCCTTATCCGCCTACCGAACTGCGCCAGCGTGACGATTAAAAATCCGCTGGCGCTT
-TAAACGTCATACTATTGCCATACGCCGGATGGGTAATCGTCAACATCTCTGCATGTAGCAACAAACGCGG
-TGCCATCGCTCTCGCTTCTGGTGATGCATAAAAACGATCGCCGAGAATCGGATGACCCAGCGCCAGCATA
-TGCACACGCAATTGATGCGAACGCCCGGTAATCGGTTTTAACACCACTCTTGCCGTGTTATCCGCCGCAT
-ACTCCACCACTTCATATTCCGTCTGCGCAGGTTTACCCGTTTCGTAACAGACTTTCTGTTTCGGGCGGTT
-TGGCCAGTCGCAAATCAGCGGCAGATCCACCAGACCTTCTGCGGGGGATGGATGCCCCCAGACGCGGGCC
-ACATACTGCTTTTTCGGCTCGCGCTCGCGGAACTGGCGTTTTAACTCCCGCTCCGCGGCTTTGGTCAGCG
-CCACTACAATCACGCCGCTGGTAGCCATATCCAGACGATGCACCGATTCTGCCTGCGGATAATCACGCTG
-AATGCGCGTCATCACGCTGTCTTTGTGCTCTTCCAGACGACCCGGCACTGACAACAAACCGCTCGGCTTG
-TTGACCACCATAATATGGTCATCCTGATACAGGATAACCAACCAGGGTTCCTGCGGTGGATTGTAGTTTT
-CCATCCCCATTTTCGGCTCCGTTACTGATGCGTTACAACGATCAAACGCAGGGCATCCAGACGCCAACCT
-GCCTGATCCAGGCTTTCCATTACCTGCTGACGGTTGCTCTCAATGGCGGTCAGTTCGTCGTCACGAATGT
-TCGGGTTCACTGCACGCAGAGCTTCCAGACGAGACAGCTCGGCAGACAGTTTTTCGTCGGCTTCGTTACG
-CGCTGCATCAATCAATGCACGGGCAGATTTCTCGATCTGCGCTTCACCCAGTTGAAGGATAGCGTGAACA
-TCCTGCTGCACGGCGTTAACCAGTTTGCTGCCGGTGTGACGGTTAACCGCGTTAAGCTGGCGGTTAAAGG
-TTTCAAACTCTACCTGCGCCGCCAGGTTGTTGCCGTTTTTATCCAGCAGCATACGTACCGGCGTCGGTGG
-CAGGAAGCGGTTGAGCTGCAACTGCTTCGGAGCCTGGGCTTCAACCACATAAATCAGTTCCACCAACAGC
-GTACCTACCGGCAACGCTTTGTTTTTTAACAGTGAAATCGTGCTGCTACCGGTATCGCCAGAAAGGATCA
-GATCCAGACCGTTGCGGATCAGCGGATGCTCCCAGGTAATAAACTGTGCATCTTCACGCGCCAGCGCCAC
-TTCACGATCAAAGGTGATGGTGATGCCATCTTCCGACAGACCAGGGAAGTCCGGCACCAGCATATGATCG
-GACGGCGTCAGCACGATCATGTTGTCGCCGCGATCGTCCTGATTGATACCGATAATATCGAACAGGTTCA
-TGGCGAAGGCGATCAGGTTGGTATCGTCATCCTGCTCTTCAATGCTTTCTGCCAGTGCCTGGGCTTTTTC
-GCCACCGTTGGAGTGGATTTCCAGCAGGCGGTCACGACCCTGTTCCAGCTGTGCTTTCAGCGCTTCATGT
-TGCTCGCGGCAGTTTTTGATCAGATCGTCAAAGCCTTCGGTTTGATCCGGTGAAGCCAGATAGTTAATCA
-GATCGTTGTATACGCTATCGTAAATAGTGCGTCCGGTCGGGCAGGTGTGCTCAAATGCATCCAGACCTTC
-GTGATACCAGCGCACCAGCACCGACTGAGCGGTTTTCTCCAGATAAGGCACATGGATCTGAATATCGTGC
-GCCTGGCCGATACGATCCAGACGACCAATACGCTGCTCCAGTAGATCCGGGTTGAATGGCAGGTCAAACA
-TCACCATGTGGCTGGCGAACTGGAAGTTACGTCCTTCAGAACCGATTTCTGAGCACAGCAGTACCTGTGC
-GCCGGTGTCTTCTTCGGCAAACCAGGCGGCAGCGCGGTCACGTTCGATAATCGACATACCTTCGTGGAAC
-ACCGCAGCGCGAATACCTTCACGTTCGCGCAGTACCTGCTCCAGTTGCAGCGCAGTGGCAGCTTTGGCGC
-AGATCACCAGCACTTTCTGAGAGCGATGGCTGGTCAGGTAGCCCATCAGCCACTCAACGCGCGGATCGAA
-GTTCCACCAGGTGGCGTTATCACCTTCAAATTCCTGATAAATACGCTCCGGGTAGAGCATATCGCGAGCA
-CGATCTTCCGCACTTTTACGTGCGCCCATAATGCCGGAGACTTTAATAGCCGTCTGATACTGCGTCGGTA
-GCGGCAGCTTAATGGTGTGCAGCTCGCGTTTCGGGAATCCTTTCACACCGTTACGCGTGTTACGGAACAG
-CACGCGGCTGGTGCCGTGGCGATCCATCAGCATCGAAACCAGCTCCTGACGGGCGCTCTGGGCATCTTCG
-CTGTCGCTGTTTGCTGCCTGCAACAGCGGCTCGATATCCTGCTCGCCGATCATCTCGCCGAGCATGTTCA
-GTTCGTCATTGCTCAGTTTGTTACCTGCCAGCAGCATGGCAACGGCGTCCGCAACCGGACGATAATTTTT
-CTGCTCTTCAACGAACTGCGCAAAATCGTGGAAACGGTTCGGGTCCAGCAGACGCAGACGGGCGAAGTGG
-CTTTCCATCCCCAGCTGTTCCGGGGTCGCGGTCAGCAGCAGAACGCCCGGCACGTGCTCTGCCAGTTGTT
-CAATGGCCTGATATTCACGGCTTGGCGCATCTTCGCTCCACACCAGGTGATGCGCTTCATCGACCACCAG
-CAGGTCCCATTCGGCTTCACAGAGATGTTCCAGGCGCTGTTTGCTACGACGGGCAAAATCCAGCGAGCAA
-ATCACCAGCTGTTCGGTGTCAAACGGGTTGTAAGCATCGTGCTGAGCTTCGGCATAACGCTCATCATCAA
-ATAGCGCAAAGCGCAGGTTGAAACGGCGCAGCATTTCTACCAGCCACTGATGCTGTAAGGTTTCCGGGAC
-GATAATTAGCACACGTTCAGCAGCGCCAGAGAGCAGTTGCTGATGCAGGATCATCCCGGCTTCAATGGTT
-TTCCCTAAACCCACTTCGTCAGCCAGCAGGACGCGCGGCGCGTGGCGGCGACCAACATCATGAGCGATGT
-TGAGCTGATGCGGGATCAGGCTGGTACGCTGACCGCGCAGGCCGCTGTACGGCATACGGAACTGTTCGCT
-GGAATATTTACGCGCGCGATAACGCAGCGCAAAGCGGTCCATACGGTCAATCTGCCCGGCAAACAGACGG
-TCCTGCGGTTTGCTGAACACCAGTTTGCTATCAAGGAAAACTTCACGCAGGGCTACGCCGGACTCTTCAG
-TATCCAGGCGAGTACCGATATAGGTCAGCAAGCCATTTTCTTCTTTTACTTCTTCGACTTGCATCTGCCA
-GCCGTCATGGCTGGTAATGGTATCACCAGGGTTGAACATCACGCGGGTCACGGGGGAATCACTGCGTGCG
-TACAGACGGTTTTCACCAGTAGATGGGAAAAGTAAAGTGACAGTTCGCGCATCCACCGCGACAACGGTTC
-CAAGTCCCAATTCGCTTTCTGTATCGCTGATCCAGCGTTGACCAAGTGTAAAAGGCATATGTGTTCGGCT
-CTATATCTTTAATTGCAGGCAATAACCACCCGCTACCGTGCTTATGAGGTAGTGGTGTTATTCAGGTCCA
-GGAATGGAAAGGGCGCTATGGTACTGGATGGCAAAGCATTCGTCACGCATCAAAATGGTATCTGGCGAAC
-TCTTTTTTTTGCTCAAAATAGCCCAAGTTGCCCGGTCATAAGTGTAGCAAAATTATCCTCAATAAAAGGG
-AGTATTCCCTCCGCCACGGGTTGTAGCTGGCGGGTCAGATAGTGTTCGTAATCCAGTGGTGAACGTTGGT
-AGTCCAGCGGCTCCGGGCCGTTGGTGGTCCATACGTACTTAATGGTGCCGCGATTCTGATATTGCAAGGG
-GCGACCACGCTTTTGGTTTTCTTCATCGGCAAGGCGAGCGGCGCGTACATGAGGCGGCACATTACGCTGA
-TACTCGCTCAGCGGACGGCGAAGGCGTTTACGGTAAACCAGTCGCGCATCCAGTTCACCCGCCATCAGTT
-TGTCGATGGTTTCGCGTACATATTCCTGATATGGCTCGTTGCGGAAGATGCGCAGGTATAGCTCCTGCTG
-AAACTGCTGGGCCAGCGGCGTCCAGTCGGTGCGCACGGTTTCCAGCCCTTTAAACACCATCCGCTGCTTG
-TCGCCCTCCTGAATCAGTCCGGCATAACGCTTTTTACTGCCGGTATCGGCTCCGCGAATGGTTGGCATCA
-GAAAACGGCAGAAATGGGTTTCATACTCCAGTTCTAATGCGCTGGTCAGCCGTTGTTTTTGCAGCGTTTC
-CGCCCACCAGGCGTTAACGTGCTGCACCAGTGCACGACCGATTTTCGCCGCTTCTTCTTCCGAATGTGCG
-CCTTTCAGCCAGACAAACGTTGAGTCGGTATCGCCGTAGATAACGTCGTAGCCCTGTGCTTCAATCAACG
-CTTTGGTTTGCCGCATGATCTGATGACCACGCATGGTGATCGACGATGCCAGCCGCGGATCGAAGAAGCG
-GCAGGCGGTGGTGCCGAGCACGCCATAAAAGGCATTCATGATGATTTTCAGCGCCTGCGACAGCGGTTTG
-TTACCCTGGCGTTTGGCTTCATCGCGCCCGTGCCAGATGTTAGTCACAATCTCCGGCAGGCAATGTTTTT
-CTCGCGAGAACCAGGCATCGAGAAAACCTTCGGTACTGTGCTCTGGATCAGGCTGCGCCATGCCTTCCAC
-CAGCCCGACGGGATCAATCAGAAAGGTGCGGATGATCGACGGGTACAGGCTTTTATAGTCCAGCACCAGT
-ACCGAATCATAAAGCCCTGGCCGTGAATCCATCACGTAGCCGCCAGGGCTGGCGTGTGGCGGCACTTCGC
-CGAGATTAGGCGCGACATAACCAGCGCGGTGCATACGAGGAAAATAGAGATGACCAAACGCCGCCACCGA
-TCCCCCGTGGCGGTCTACCGGCAGGCCGTTCACCGTCGCTCGTTCGAGTAAAAATGGCATGATTTCAGTT
-TTATGGAAAATCTGCGTCACCAGCTCGCAATCTTTCAGGTTATAAGTCGCCAGCGCAGGTTTATCTTCGG
-CGAAACGGCGGTCAATTTCGTCCATTCGATCCCACGGGTTATCGATAGATTTTCCTTCGCCTAATAACTC
-CTGAGCGACGGTTTCCAGCGAGAATGAAGAGAAATTCCAGAACGCGGATTTCAGCGCCTCGATACCGTCG
-ATAATTAGCCGACCTTTAGCCTGGGCAAAAAAGACGCCGTTTTTAAAGCCGTGCTCGCGCCACTCCAGCT
-CACTGTTATCGCGCCCCAGCCGCAGCGGAATACGGTAACGCTCGGCATGTTTTTGCAGCATTCGCAGATC
-GAACTGCACCACGTTCCAACCGATGATCACATCAGGATCGTAGTTGGCAAACCAGGCGTTGAGTTTTTCC
-AGTAGCTGCGGGCGGCTGGCGACGTATTCCAGTTCAAAATCGAGCGCGGAGGCGTCGCCATTCTCTGGCC
-CCAGCATATAAACGATGCGCTGCCCGCAGCCTTCCAGGCCGATGCAGTACAGCTCACCGTGGCGGGTGGT
-TTCAATATCAATAGAAACCCACTTGAGCGGCGGACGATAGTCGGGATGCGGTTTCAGACGGGCATTAACG
-ATAGCGCCATTGTGCATATCACCCTCGACCCACACCGGTGAGGTGATAAACCGCTCCATCAGATAGCGTT
-CTGGCGGGCGCACATCGGCCTCGTAGACGGTAACGCCACCTTCACGCAGGCGCTTTTCGTAATTCATCAA
-TTGGCGATGGGCGCGACAGTAAAGGCCATACACCGGCTGGCGGTGAAAATCCTTTAACGCCAGCGGTGTC
-AGGCGAACGCCTTGTTCACCCTGCAAAATATGCTGAGCGCGGGGAACCTGATCGGCGGGAATAAACGCCA
-CGGACTCTTGCGGTGCAAGCGTAACCTGCAACGGCCCGTTGTCCGTCGCCAGCCAGAAGGAGACTTCTGT
-CCCTTGCGGGGTGTCCCGCCAGTGTCGGGTTAAGATAAAACCTGCCTGCGCCACGCTGTAATTCCATCAA
-AAAACCAGGCTTGATTATAGCCTGGTTTCGTTTGATTGGCTGTGGTTTTATACAGTCATTACTGCCCGTA
-ATATGCCTTCGCGCCATGCTTACGCAGATAGTGTTTATTCAGCAGCGTTTGCTGCATATCCGGTAACTGC
-GGCGCTAACTGACGGCAGAATATCCCCATATAAGCGACCTCTTCCAGCACGATGGCGTTATGCACCGCAT
-CTTCGGCATTTTTGCCCCATGCAAATGGGCCGTGAGAATGGACCAGGACGCCGGGCATTTGCGCTGCATC
-GATACCCTGTTTTTCGAAGGTTTCTACGATGACGTTACCGGTTTCCCACTCATATTCACCGTTGATTTCT
-GCGTCGGTCATTTTGCGGGTGCAGGGAATGGTGCCGTAGAAATAGTCGGCGTGGGTGGTGCCGGTTGCTG
-GAATCGACTGGCCCGCCTGCGCCCAGATAGTGGCGTGGCGCGAGTGTGTGTGCACAATGCCGCCAATGGA
-CGGGAATGCCTGATAGAGCAGTCGGTGAGTTGGCGTATCGGAGGAGGGCTTTTTCGCACCTTCAACCACT
-TCACCGGTTTCGATGCTAACCACGACCATATCGTCAGCGGTCATGATGCTGTAATCGACGCCGGAAGGTT
-TGATCACAAAGACGCCGCGCTCGCGATCAACGGCGCTGACGTTGCCCCATGTGAGCGTGACCAGGTTATG
-TTTTGGCAGCGCCAGGTTGGCCTCTAATACCTGGCGTTTGAGATCTTCTAACATGTTGACTCCTTCGTGC
-CGGATGCGCTTTGCTTATCCGGCCTACAAAATCGCAGCGTGTAGGCCTGATAAGACGCGCCAGCGTCGCA
-TCAGGCGTTGAATGCCGGATGCGCTTTGCTTATCCGGCCTACAAAATCGGAACGCGTAGGCCTGATAAGA
-CGCGCCAGCGTCGCATCAGGCGTTGAATGCCGGATGCGCTTTGCTTATCCGGCCTACAAAATCGCAGCGT
-GTAGGCCTGATAAGACGCGTCAGCGTCGCATCAGGCGTTACACACCTGATGCGACTACTTAGCGACGAAA
-TCCGTAATACACTTCGTTCCAGCGCAGCGCGTCTTTAAACGCTGGCAGGCGGGTATCGTTATCAATCACC
-GTGATTTCAATGTCGTGCATCTCGGCGAACTGGCGCATATCGTTGAGGTTCAGCGCATGGCTGAAGACGG
-TATGGTGCGCGCCACCAGCGAGGATCCACGCTTCGGAAGCAGTTGGCAGATCCGGTTGCGCTTTCCACAG
-CGCATTCGCCACCGGCAGTTTCGGCAGGGAGTGCGGTGTTTTCACCGTGTCGATACAGTTAACCAGCAGA
-CGGTAACGATCGCCGAGATCAATCAGGCTGGCGACAATCGCTGGACCGGTTTGGGTATTGAAGATCAGTC
-GGGCAGGATCGTCCTTACCACCAATACCGAGATGCTGAACGTCGAGGATCGGTTTCTCTTCTACGGCAAT
-CGACGGGCAGACTTCCAGCATATGGGAGCCGAGCACCAGGTCATTACCTTTCTCGAAGTGATAGGTGTAG
-TCCTCCATAAAGGAGGTGCCGCCCTGCAGACCGGTTGACATCACCTTCATGATGCGAAGCAGGGCGGCGG
-TTTTCCAGTCGCCTTCGCCCGCAAAGCCGTAACCCTGCTGCATCAGACGCTGTACGGCCAGACCTGGAAG
-CTGTTTCAGACCGTGCAAATCTTCAAAGGTGGTGGTGAACGCGTGGAAGCCACCTTGTTCCAGGAAACGC
-TTCATCCCCAGCTCAATACGCGCCGTTTCCAGCACGTTCTGTCGTTTTTCGCCGTGGATTTGTGTTGCAG
-GCGTCATGGTGTAGCAGCTTTCGTACTCATCGACCAGCGCGTTAACATCGCCGTCGCTGATGGAGTTCAC
-CACCTGCACCAGATCGCCAACCGCCCAGGTATTGACGGAGAAACCGAACTTGATCTGTGCGGCAACTTTA
-TCACCATCGGTGACCGCCACTTCACGCATGTTATCGCCAAAACGGCAGACTTTCAGATGACGGGTATCCT
-GTTTAGAAACCGCCTGACGCATCCAGGAGCCGATACGCTCATGGGCTTGTTTATCCTGCCAGTGACCGGT
-AACGACGGCATGTTGCTGACGCATACGCGCGCCAATGAAGCCGAACTCGCGACCGCCATGTGCAGTCTGG
-TTCAGGTTCATAAAGTCCATATCGATACTGTCCCACGGCAGCGCCGCGTTGAACTGGGTGTGGAATTGCA
-GCAACGGTTTGTTGAGCATGGTCAGGTCGTTGATCCACATTTTGGCCGGGGAGAAGGTGTGCAGCCACAC
-CACCAGACCAGCGCAACGATCGTCGTAATTCGCGTCGCGGCAAATAGCGGTGATTTCATCCGGCGTGGTG
-CCCAGCGGTTTCAACACCAGTTTGCAGGGCAGTTTCGCTTCCGTATTCAGCGCATTAACAACGTGCTCGG
-CATGTTGGGTGACCTGACGCAGGGTTTCCGGGCCATACAGATGCTGGCTGCCAATGACAAACCACACTTC
-ATAATTATCAAAAATCGTCATTATCGTGTCCTTATAGAGTCGCAACGGCCTGGGCAGCCTGTGCCGGGGC
-GGAAGTTGGAAGATAGTGTTGTTCGGCGCTCATCGCCCATTGCTGATAGCGGCGATAAAGCTGTTCAAAG
-CGTTGTGCCTGTTCGCTGCGCGGTTGCAGGGTTTTCTCTACCGCACTGGCCATTTTTTGCTGGGCTGATG
-GGATGTCTGCGTGCACTTTCGCGGCGACGGCAGCAAAAATCGCCGCACCGAGCGCACAGCACTGGTCAGA
-GGCAACAATTTGCAGCGGGCGATTCAGCACGTCGCAGCAGGCCTGCATAATGACCTGGTTTTTCCGCGCG
-ATGCCGCCCAGCGCCATCACGTTATTGACGGCGATCCCCTGATCGGTAAAGCACTCCATGATTGCGCGTG
-CGCCAAAGGCGGTGGCAGCAATCAAACCGCCGAACAGCAGCGGAGCGTCGGTAGCGAGGTTAAGATCGGT
-AATCACCCCTTTCAGGCGTTGGTTAGCGTTTGGCGAGCGACGACCGTTAAACCAGTCGAGCACCACCGGC
-AGGTGATCCAGAGACGGATTTTTGGCCCATGCTTCGGTCAGCGCCGGAAGCAGTTGTTTCTGGCTGGCGT
-TGATTTGCGCTTTCAGTTCCGGATGCTGGGCGGCAAGCTGTTCCAGCGGCCAGCTGAGTACGCGACCGAA
-CCAGGCGTAGATATCACCAAACGCCGATTGGCCTGCTTCCAGACCGATAAATCCAGGCACCACGCTGCCA
-TCAACCTGACCGCAAATACCTTTAACTGCCCGCTCGCCAACGCTCTGTTTGTCGGCAATCAGAATGTCGC
-AGGTGGAAGTACCGATAACTTTTACCAGTGCGTTAGGCTGTGCGCCTGCGCCAACTGCGCCCATATGGCA
-GTCAAACGCGCCGCCGGAAATCACCACGCTTTCAGGCAGGCCGAGACGCTGCGCCCATTCCGGGCATAAG
-GTGCCCACCGGAATATCGGCAGTCCAGGTGTCAGTGAACAGCGGGGAAGGCAAATGGCGATTGAGGATCG
-GGTCCAGCTCATCAAAGAAACTGGCTGGCGGCAAGCCGCCCCAGCTTTCGTGCCACAGAGATTTATGCCC
-GGCGCTGCAACGTCCGCGACGAATATCCTGCGGGCGGGTGGTACCGGAAAGCAGAGCTGGCACCCAGTCG
-CACAGCTCAATCCACGATGCGGCAGATTGCGCCACGGCGCTGTCCTGGCGAGTCACATGCAGGATTTTTG
-CCCAGAACCATTCGCTGGAATAAATACCGCCAATATAGCGGGAGTAGTCAACATTGCCCGGCGCGTGGCA
-CAAACGGGTAATCTCTTCCGCTTCTTCAACCGCAGTGTGGTCTTTCCACAATACGAACATCGCGTTCGGG
-TTTTCGGCAAACTCCGGGCGCAGCGCCAGCACGTTACCGTCGGCATCAATCGGTGCGGGCGTCGAGCCGG
-TACTGTCAACGCCAATCCCGACCACAGCTGCGCGCTGTTCGACGCTAAGCTCTGCAAGCACGGTTTTCAG
-TGCCGCTTCCATTGACTCAATGTAGTCACGCGGATGATGACGGAACTGGTTATTCGGGGCATCACAAAAT
-TGCCCTTTTTGCCAACGGGGATACCACTCTACGCTGGTGGCGATCTCTTCACCGCTGGCGCAGTCCACCG
-CCAAAGCTCGCACAGAATCACTGCCAAAATCGAGGCCAATTGCAATCGCCATCGTTTCACTCCATCCAAA
-AAAACGGGTATGGAGAAACAGTAGAGAGTTGCGATAAAAAGCGTCAGGTAGGATCCGCTAATCTTATGGA
-TAAAAATGCTATGGCATAGCAAAGTGTGACGCCGTGCAAATAATCAATGTGGACTTTTCTGCCGTGATTA
-TAGACACTTTTGTTACGCGTTTTTGTCATGGCTTTGGTCCCGCTTTGTTACAGAATGCTTTTAATAAGCG
-GGGTTACCGGTTTGGTTAGCGAGAAGAGCCAGTAAAAGACGCAGTGACGGCAATGTCTGATGCAATATGG
-ACAATTGGTTTCTTCTCTGAATGGCGGGAGTATGAAAAGTATGGCTGAAGCGCAAAATGATCCCCTGCTG
-CCGGGATACTCGTTTAATGCCCATCTGGTGGCGGGTTTAACGCCGATTGAGGCCAACGGTTATCTCGATT
-TTTTTATCGACCGACCGCTGGGAATGAAAGGTTATATTCTCAATCTCACCATTCGCGGTCAGGGGGTGGT
-GAAAAATCAGGGACGAGAATTTGTTTGCCGACCGGGTGATATTTTGCTGTTCCCGCCAGGAGAGATTCAT
-CACTACGGTCGTCATCCGGAGGCTCGCGAATGGTATCACCAGTGGGTTTACTTTCGTCCGCGCGCCTACT
-GGCATGAATGGCTTAACTGGCCGTCAATATTTGCCAATACGGGGTTCTTTCGCCCGGATGAAGCGCACCA
-GCCGCATTTCAGCGACCTGTTTGGGCAAATCATTAACGCCGGGCAAGGGGAAGGGCGCTATTCGGAGCTG
-CTGGCGATAAATCTGCTTGAGCAATTGTTACTGCGGCGCATGGAAGCGATTAACGAGTCGCTCCATCCAC
-CGATGGATAATCGGGTACGCGAGGCTTGTCAGTACATCAGCGATCACCTGGCAGACAGCAATTTTGATAT
-CGCCAGCGTCGCACAGCATGTTTGCTTGTCGCCGTCGCGTCTGTCACATCTTTTCCGCCAGCAGTTAGGG
-ATTAGCGTCTTAAGCTGGCGCGAGGACCAACGTATCAGCCAGGCGAAGCTGCTTTTGAGCACCACCCGGA
-TGCCTATCGCCACCGTCGGTCGCAATGTTGGTTTTGACGATCAACTCTATTTCTCGCGGGTATTTAAAAA
-ATGCACCGGGGCCAGCCCGAGCGAGTTCCGTGCCGGTTGTGAAGAAAAAGTGAATGATGTAGCCGTCAAG
-TTGTCATAATTGGTAACGAATCAGACAATTGACGGCTTGACGGAGTAGCATAGGGTTTGCAGAATCCCTG
-CTTCGTCCATTTGACAGGCACATTATGCAAGCATTGCTGGAACACTTTATTACCCAATCTACCGTGTATT
-CATTGATGGCGGTGGTGTTGGTGGCCTTTCTGGAGTCGCTGGCGCTGGTCGGTTTGATTCTACCCGGTAC
-GGTGCTGATGGCGGGGCTGGGAGCGCTGATTGGCAGCGGCGAGTTAAGTTTCTGGCACGCCTGGCTGGCA
-GGGATTGTCGGTTGTCTGCTGGGCGACTGGATCTCCTTCTGGCTGGGCTGGCGTTTTAAAAAGCCGTTGC
-ATCGCTGGTCATTTCTGAAGAAAAACAAAGCATTACTCGATAAAACTGAACATGCGTTGCATCAACACAG
-CATGTTCACCATTCTGGTCGGTCGCTTTGTTGGCCCGACGCGTCCGCTGGTGCCAATGGTGGCGGGAATG
-CTGGATCTGCCGGTGGCAAAATTCATTACGCCGAATATTATCGGCTGCCTGCTGTGGCCACCGTTTTACT
-TCCTGCCTGGGATTCTGGCGGGCGCGGCGATCGATATTCCAGCCGGAATGCAGAGCGGCGAGTTTAAATG
-GTTGCTGCTGGCGACGGCGGTATTTGTGTGGGTTGGTGGCTGGCTGTGCTGGCGGTTATGGCGCAGCGGT
-AAAGCAACCGATCGTTTAAGTCATTATTTGTCGCGCGGCCGTTTGTTGTGGCTGACGCCGTTGATTTCTG
-CCATCGGCGTGGTGGCGCTGGTGGTGTTAATTCGCCACCCGTTGATGCCGGTGTATATCGATATTTTGCG
-TAAAGTGGTTGGGGTTTAGGGGATTGTCTTGTGCGGGTTGCCTGATGCGACGCTGACCGCGTCTTATCAG
-GCCTACAAAACGCACTGTCCGTAGGTCGGATAAGGTGTTCACGCCGCATCTGACAGTGCATACTAACCCG
-TAATCCCCAATAGTGCTGAAGCACTCGCCTTACCGCTCAACAACTCATTGGTCTTACCCTGCCAGGCGAT
-GCGCCCGTCGGCGACCACCACCGAGCGCGTGGCGATCCGCGCGGCATCTTCCACACTGTGTGACACCATC
-AATAACGTCATTTTTTGCTGCTGGCAGCTCGTGCTCACCAGCGTCAGCATCTCCTGACGTAACGCCGGAT
-CGAGCGCAGAGAACGGTTCATCGAGCAATAAAATCGGCTGTTCGCGCACCAGACAACGCGCTAACGCCAC
-GCGCTGTCGCTGACCGCCGGAAAGCTCGCCAGGTAACCGCGCCATTAAATTATCAATCCCCATCTGGCGG
-GCGATAGCGTGCATTTTCTCCTGCTGTGCCGCGTTCAGTTTCAATCCCGGATTTAGCCCCAGCCCGATGT
-TCTGCGCGACCGTCAGGTGACTGAACAGGTTGTTTTCCTGAAACAGCATCGACACCGGACGGCGTGACGG
-CGGCGTCGTGGTGTGATCAACGCCGTCGATAGTCAGCGAACCGCTGGCTGGCGTCAGAAAACCGGCGATC
-AAGTTCAGCAGGGTACTTTTACCTGCGCCGCTTGGCCCGAGGATCGCCACCTGCTCGCCGCGTTCTACCG
-TTAAGCTAAAACGCATCGGCAAATGTTGGTAAAGCCAGGTGATATCAGTCAGTTTTAACATCTCGCCCCG
-GTAGTTTTTCAATCACGGTAAACAGCAGAAAACAGAGTAGCAGCAGAATTAACGCGGTGACCGCGCCGTC
-CTGGCTGCGATAGGAGCCAATTTGCTGGTAGAGATAAAACGGCAGGGTGCGGAAATCATCGTTACCGAAC
-AACGCCACCACGCCAAAATCACCAATCGACAGCACGCAGGCAAAAGCCAGCGCCTGCGCCAGTGGACGTT
-TCAGGGCGCGCAGCTCGACCACTTTTAAGCGCGACCAGCCTTCAATGCCCAGCGACTGACACAACATACT
-GTAGCGGGCGGTGATATCGCGCATCGGGTTTTCCAGTACTTTCAGCGCATAAGGGATCGCCATTAACGCA
-TTGGTGAAAATCACAATGCCGTCAGCAGATTGCGGCAGGCCAATGGTGTTGTTGAGCAGTAAAAAGAAGC
-CGGTAGCCAGCACAATCCCCGGCATGGCGAGGATCAACATGCCGCTCATCTCCAGCGCCTGACCCGCCAG
-CATTTTCTGCCGCGCCCGAAGTTCGCGACTGCTCCATAGCAGCATCATGGTCAGCACTACGCACAATACA
-CCTGCCGCCAGCGCAATACGCAACGAGGTCCACAGCGCCTGCCACAGCACCGGTTGTGCCAGCACTTCCG
-GCAACTGGCGATTTAGCCCATCGACGATCACCGCCAGCAACGGTGGCAGCAACAGCAGCAGCGCCAGCAC
-AATTAACACCGTGTCGCAAATGCGGCTATGCAGACGATCGTCCGGGTCGCGCCAGCCTTGCAGCAGCGTG
-GTGCCTGGCGCAATGGCCTTACTCAATCGCTGACTCAGCAGCACCAACCCGAGGCAACACACCATCTGGA
-TCAGCGCCAGCATCGCCGCGCGGGCAGGATCGTAGTCGTAACTCAGCGCCTGATAGATTGCCAGCTCGAT
-AGTGGTTGCCTGCGGACCGCCGCCCAGCGATAGCACGGTGGCGAAGCTGGCGAAACAGAGCATAAAGATA
-AGTGCAGCAACCGGCGGGATTTGTCGCCGTAACCACGGCCATTCGACGAAGCGGAAAAAATGCCAGCCGC
-GCATCCCAAGCTGGGCGGCAAGCTGACGTTGTTCGCCGGGAATGTTTTCCAGTGCCTGGAGTAATAAGCG
-GCTCGCCATCGGTAGATTAAAAAATACGTGCGCCAGCAAAATACCTTGCAGGCCGTAGGGCGAAAAGGTC
-CACTCCAGACCGAGCGATTGGCAGAGTGTTGCCAGCCAGCCCTGGCGACCATAGACGCTAAGAATGCCGA
-AAACAGCAACCAGCACCGGGAGGATTAAGGTCATTGCGCACAGACGCAACAGCGCCAGCCGACCCGGAAA
-GCGCCTGCGATAGAGCGCGCGGGCGAGGAATATCGCGGGTACGACAGAGAGCAGCGCCGAGAGAAACGCC
-TGCCAGAAGGAGAAGCGCACCACATGCCACAGATAGCTGTCCTGCCAGACTGCCACCCAGTCATCCTGCG
-GCGCGTTCCACCACAGGGCGAGAAACGCCGCCAGCGCAACCGCTACCACCAGCGTGGTGGCGCTTACACC
-TGGAATTAACCAGCCGGGAATTAACGGCTGACGGCGCGTTGCCATTCGCTAATCCATGCCTGACGTTGTG
-CCGCCACTTCGGCTGGCGTGAACTCCAACGTGGTTGCGGGTTTGGTCAATTTTTCAAAACCGGCAGGCAG
-CGTGACGTTTGCCACCGGATACATCCAGTTGCCGGTTGGGATCGCATTCTGGAAAGCCGGAGAAACCATA
-AACTGGAGGAATTTTTGCGCCAGCTCCGGCTGCTTGCTGGCAGCGGTGCGGGCGGCGACTTCCACTTGCA
-GATAGTGACCTTCGCTGAAGTTCGCGGCGGCGTAGTTATCTTTCTTCTCTTCGAGAATGTGATAAGCCGG
-AGAGGTGGTGTAACTCAGTACCAGATCGCTTTCACCTTTTAAAAACAGGCCGTAGGCTTCGCTCCAGCCT
-TTGGTGACCGTGACCGTTTTCTTCGCCAGTTTCTGCCAGGCTTGTGGGGCGTCATCGCCATAGACTTTTT
-GCATCCATAGCAACAGACCCAGCCCCGGTGTACTGGTGCGCGGATCCTGATAAATCACCCGCCAGTTTTG
-ATCGCTCTCAACCAGTTCTTTCAGGCTTTGTGGCGGGTTTTTCAGTTTGTTCTTGTCATAAACGAAGGCG
-AAGTAGCCATAATCAAACGGTACGAAAGTGTCATTATTCCAGCCGCCGGGAACGTTAACGGCATCCGCTG
-CCACACCGCTTTTGGCAAACAGTCCGGTTTTACTGGCGGCGTCTAACAGGTTGTTATCCAGCCCCAGCAC
-CACATCGGCTTTACTGTTTTTGCCTTCCATCCGTAGACGGTTGAGAAGCGAAACGCCATCTTCCAGCGCC
-ACCAGTTTCAGTTCGCAATTACAGTCGGCTTCAAAGGCTTTTTTAACCACCGGACCAGGCCCCCAGTCGG
-CGGCGAAGGAATCGTAGGTATAAACAGTCAGAACGGGTTTAGCGAAAACGGGCGCTGTGCACAGCAACAG
-CAGGGGCAGACATTTTTTTAACACTTTGCACCTCAAAAAAGAGTGGCAAAGGACTTGAGAAGGAGCCTCA
-AATCCCTTCGCCGGCGTTATCCGGATCAGGTTCGACGGGTATTTTCTCAGCGCACGCGTACGCGTGGCAC
-CCCGTTGAGAACGGCGTTAGTGTAGTGATTTTGTTATCAACCAGCAATCATGGATCCGGTGGCGCAAACC
-ACGCTGATTTAAAATCGAACCAGCCGAGGGTATTCATGCGTAGGCCGCGCATACTGCGTTGCCCCTGAAT
-GATCAGCCAGTGGTGGATAAGCGGCACCATTGCTTTGCTGGCGACCAGTTGCTGGCACCAGTTCGCCAGG
-TTCATTTCGCCATTGCGCCAGCGGGCGGCGTCGGCTTGCCAGTCGATCGGAATACAGTGTTGGAGCAGCG
-GCACCTCGCACAAGTGCGCGAACAGCGAAAAATCCAGCGGCAGCGTAAAGTTGGCGCTGTTAAGCCAGAT
-ATCGCTCTCGATCTCTCCTTCATGCCACTGATCGTAGCTGATCTCTTTGATTTCCAGCGTGACCTGGTGA
-CTTGCCAGAATCTGCTGCATGATCCCGGCAATCACCCGATGCTCACTGTGATCCTGATAAAAGGTCAGGA
-TGAGGCTTTCCAGGCCAGCCGGTTTTTCGCTCTTTATGGTGCGGGCATGGTGCCAACGGGGGAGCAGTCC
-ATAAGCCGGGAACCACAGTTGCTGGTACTGTTCCTCAGCGAAATAGACCAGATTAGTTGGAGAAAGCACA
-TAGCTTACCCAGTCCCTGACTTGCTGATTCGCCCCGCGATGGGTGCGGCTGTCGAATAGTAAATAGTAGC
-AACCTTCCTCCAGGCGGCTTTCAATCTCTTTTTCCTCACCCTGTGGACCTTTTAGCATCAGACCTCCAGC
-TGGCTCGTCGGCAATTTCCGGCAGAACCCAGACGTTAACTTCGTCGATTAATGCCCGGTAACCGAAGAAG
-TCATCGAATGCCTGAATTTTCAGTTGATTGGTGCTGTTGCGGATCACCGCATACGGACCGGTGCCGATGG
-GATGGCTGGCAAAGTTACTGAGGGTTTCCCATTCGCGCGGCAGGATCATCGCCGGAACTTGCCCCAGCAA
-TAACGGTAACCAGCGGTCCGGTTGCGTGAGATGGATATCCAGCGTCCAGGGCGTCGGCGACACAATGTCA
-GCAATATGCGAATAGAGCGGCAGCGTATTGATTCGTTTTAAAGAGGCGATCACGTCGTCCATTTCCAGTT
-CACGACCATGATGAAAATGGACTCCTGGACGCAAAAAGAAACGCCAGTGAAGCGGTGATATTTGCTGCCA
-GTGGTGGGCGATGTCTGCTTCCAGTTCCCCATTTTCCTCATTTATGCGCGTTAGCGAACTGAAGATTTGC
-CGGGCAATATGGGTTTCGGAACGGCGCAATGCGCTGCCAGGTAGCAGATTACGCAACGGACGATAGTAGA
-GCACGCGCAGGATGTGCCGCCCCTGGCGGAAGCTGCGGCCCAGATGAGAAACCAGCATTTGCCGCACAGT
-CGCTTTGTCGCCAACCAACTGCACTAGTTGGTCGATACGATCCTGCTCCAGCAGGTCTTCCGCCCGCTGT
-TGCTGAAGCGCCAGCCCGGTATAGAGGAATGTCAGACGCGAGCGTTTACCACGCCCGACTTCCGCTTCCC
-ACGTCAGCCAGCCGCGATCCTGCATGGTGTTGAGCAGGGTGCGCATATGACGACGCGAGCAGCTCAATAA
-CGCTGCCAGTTCGTTGAGCGTTGTGTCCTGCGATTTACCCTCGCAGCATTGCCACAGGCGGATGAACTGT
-TGTTGCAGACGAGCAGATGGCATAAAAGGGGAACTCCTGTGCAAAAGACAGCAATTTTATTTTCCCTATA
-TTAAGTCAATAATTCCTAACGATGAAGCAAGGGGGTGCCCCATGCGTCAGTTTTATCAGCACTATTTTAC
-CGCGACAGCGAAGTTGTGCTGGTTGCGTTGGTTAAGCGTCCCACAACGATTAACCATGCTTGAAGGACTG
-ATGCAGTGGGATGACCGCAATTCTGAAAGTTGACTTGCCTGCATCATGTGTGACTGAGTATTGGTGTAAA
-ATCACCCGCCAGCAGATTATACCTGCTGGTTTTTTTTATTCTCGCCGCGCTAAAAAGGGAACGTATGATC
-TGGATAATGACGATGGCTCGCCGTATGAACGGTGTTTACGCGGCATTTATGCTGGTCGCTTTTATGATGG
-GGGTGGCCGGGGCGCTACAGGCTCCTACATTGAGCTTATTTCTGAGTCGTGAGGTTGGCGCGCAACCTTT
-CTGGATCGGACTCTTTTATACGGTGAATGCTATTGCTGGGATCGGCGTAAGCCTCTGGTTGGCAAAACGT
-TCTGACAGTCAGGGCGATCGGCGAAAACTGATTATATTTTGCTGTTTGATGGCTATCGGCAATGCGCTAT
-TGTTTGCATTTAATCGTCATTATCTGACGCTTATCACCTGTGGTGTGCTTCTGGCATCTCTGGCCAATAC
-GGCAATGCCACAGTTATTTGCTCTGGCGCGGGAATATGCGGATAACTCGGCGCGAGAAGTGGTGATGTTT
-AGCTCGGTGATGCGTGCGCAGCTTTCTCTGGCATGGGTTATCGGTCCACCGTTGGCCTTTATGCTGGCGT
-TGAATTACGGCTTTACGGTGATGTTTTCGATTGCCGCCGGGATATTCACACTCAGTCTGGTATTGATTGC
-ATTTATGCTTCCGTCTGTGGCGCGGGTAGAACTGCCGTCGGAAAATGCTTTATCAATGCAAGGTGGCTGG
-CAGGATAGTAACGTACGGATGTTATTTGTCGCCTCGACGTTAATGTGGACCTGCAACACCATGTACATTA
-TTGATATGCCGTTGTGGATCAGTAGCGAGTTAGGATTGCCAGACAAACTGGCGGGTTTCCTGATGGGGAC
-GGCAGCTGGTCTGGAAATACCAGCAATGATTCTGGCTGGCTACTATGTCAAACGTTATGGTAAGCGGCGA
-ATGATGGTCATAGCAGTGGCGGCAGGAGTACTGTTTTACACCGGATTGATTTTATTTCATAGCCGTCTGG
-CGTTGATGACGCTGCAACTTTTTAACGCTGTATTTATCGGCATTGTTGCGGGTATTGGGATGCTATGGTT
-TCAGGATTTAATGCCTGGAAGAGCGGGGGCAGCTACCACCTTATTTACTAACAGTATTTCTACCGGGGTA
-ATTCTGGCTGGCGTTATTCAGGGAGCAATTGCACAAAGTTGGGGGCACTTTGCTGTCTACTGGGTAATTG
-CGGTTATTTCTGTTATCGCATTATTTTTAACCGCAAAGGTTAAAGACGTTTGATGACGTGGACGATAGCG
-GAAAGCCCGGTCATTTGACCGGGCAAGGGGATTAATTCATAAACGCAGGTTGTTTTGCTTCATAAGCGGC
-AATGGCGTCGTCGTGCTGCAAGGTAAGCCCAATACTGTCCAGACCGTTCATCATGCAGTGGCGGCGGAAG
-GCATCGATGGTAAAGCGATAGGTTTTCTCTCCCGCTTTCACCTCTTGCGCTTCCAGATCCACGTCGAAAT
-GGATCCCCGGATTGGCTTTCACCAGCGCAAACAGTTCGTCCACTTCTGCATCGCTTAATTTCACCGGCAG
-CAGCTGGTTGTTAAAGCTATTGCCGTAGAAGATGTCAGCAAAACTCGGCGCAATCACCACTTTAAAACCG
-TAGTCGGTCAATGCCCAGGGCGCGTGCTCACGCGAAGAGCCACAGCCGAAGTTTTCTCGTGCCAGCAAAA
-TGGAAGCGCCCTGATACTGCGGGAAGTTCAGCACGAAGTCCGGGTTTGGCTGTTGGCCTTTTTCATCCAG
-AAAACGCCAGTCGTTAAACAGATGCGCGCCAAAACCCGTACGGGTCACTTTCTGCAAAAACTGTTTCGGG
-ATGATTGCATCGGTATCGACATTGGCGGCATCCAGCGGAACCACCAGGCCTGTGTGTTTGATAAATTTCT
-CTGCCATGGTGTGCTCCTTATTTAATGTTGCGAATGTCGGCGAAATGTCCGGTCACAGCAGCAGCGGCAG
-CCATTGCCGGGCTGACCAGATGCGTGCGCCCGCCGCGCCCCTGGCGGCCTTCAAAGTTACGGTTGCTGGT
-GGAGGCACAACGTTCGCCCGGATTCAGACGGTCGTTGTTCATCGCCAGACACATTGAGCAGCCAGGCAAG
-CGCCATTCAAAACCGGCTTCAATAAAGATTTTATCCAGACCTTCCGCTTCCGCCTGGGCTTTTACCGGGC
-CAGAGCCGGGAACCACCAGTGCCTGCACGCCTGGCGCGACTTTTCGCCCTTTGGCGATCTCCGCTGCCGC
-GCGTAAATCTTCAATGCGCGAGTTGGTACAGGAACCGATAAACACTTTGTCGATAGCCACTTCGGTCAGC
-GGAATACCCGGTTTCAGCCCCATATAGGCCAGCGCTTTTTCTGCCGACGCGCGTTCAACCGGATCGGCAA
-ACGAAGCCGGATCGGGAATATTGTCGTTCACGGAAATCACCTGGCCGGGATTGGTGCCCCAGGTGACCTG
-CGGTGAAATTTCTTCTGCTTGCAGAGTGACAACGGTATCGAAAGTTGCGCCTTCGTCGGTTTGCAGGGTT
-TTCCAGTAGGCAACGGCGTCGTCGAAATCTTTGCCTTTCGGCGCATGCAGACGGCCTTTGACATAGTTAA
-AGGTGGTTTCGTCCGGTGCAACCAGACCGGCTTTTGCGCCCATTTCGATTGCCATATTGCACAGGGTCAT
-ACGACCTTCCATGCTTAAATCACGGATTGCTTCGCCGCAAAACTCCACCACATGCCCGGTGCCGCCTGCG
-CTACCGGTTTTACCGATAATTGCCAGCACGATATCTTTTGCGGTAATGCCCGGCGCGGCTTTGCCCTGGA
-CTTCAATTTTCATGGTTTTTGCGCGGCCCTGTTTCAGGGTTTGCGTTGCCAGTACGTGTTCAACTTCGGA
-AGTGCCGATACCAAAGGCCAGTGCGCCAAACGCGCCGTGGGTGGCGGTATGCGAGTCGCCGCAGACAATG
-GTCATCCCCGGCAAGGTGACGCCCTGTTCCGGGCCCATTACGTGGACGATCCCCTGATACGGGTGATTCA
-GGTCATACAGTTCGACGCCAAATTCTTTGCAGTTTTTGATCAGTTCCTGCATCTGGATACGCGCCATTTC
-ACCGCAGGCATTAATGTCTTTGGTCTGGGTAGAGACGTTGTGATCCATGGTAGCGAAGGTTTTGCCCGGT
-TGACGTACCGGGCGACCGTGGGCGCGCAGACCATCGAACGCCTGCGGTGAGGTCACTTCATGCACCAGGT
-GGCGGTCGATATATAACAGTGGGGTTTCGTTTTCGGCTTCGTACACAACGTGAGCGTCGAACAATTTTTC
-GTATAACGTCTTAGCCATGATTACACCCCTTCTGCTACATAGCGGGCAATGATATCGCCCATTTCATCGG
-TACTAACGGCGGCAGCGCCACGGGCTAAATCCCCGGTGCGAATGCCTTCTTCTAATGCGCGGTTAATGGC
-GCGTTCAATGGCGCAAGCCGCATCATCGGCATCCAGGCTGTAACGCAGCAGCAGTGCCAGCGAAAGGATT
-TGTGCAATCGGGTTGGCGATGTTTTTGCCTGCGATATCTGGTGCCGAGCCGCCCGCCGGTTCATACAGTC
-CAAAACCTTGCTCGTTCAGGCTGGCGGAAGGCAACATCCCCATCGAGCCAGTGATCATTGCGCACTCGTC
-AGACAGAATGTCGCCAAACAGGTTGGAGCACAGCAGAACGTCAAACTGTGATGGATCTTTAATCAGCTGC
-ATGGTGGCGTTGTCGATGTACATATGCGCCAGTTCGACATCCGGGTATTCCGTGGCGATCTCGTTAACGA
-TCTCCCGCCATAAAATAGAGGATTGCAGCACGTTGGCTTTATCGATCGACGTCACTTTGTGGCGACGCTT
-GCGAGCAGATTCAAACGCGATGCGGGCGATACGTTCGATCTCAAAACGGTGATACACCTCGGTATCAAAG
-GCTTTTTCATATTGTCCGCTACCTTCGCGGCCTTTTGGCTGACCGAAATAGATGCCGCCGGTCAGTTCGC
-GCACACACAGGATGTCGAAGCCGTTTGCGGCAATGTCTGCACGCAGCGGACAGAATGCTTCCAGCCCCTG
-ATACAGTTTTGCCGGGCGCAGGTTGCTGAATAATTTGAAGTGCTTACGCAGAGGCAGCAGCGCGCCGCGT
-TCTGGTTGCTGGTCTGGTGGTAAATGTTCCCACTTCGGGCCGCCTACCGAGCCAAACAGCACGGCATCGG
-CTTGCTCACAACCTTCAACCGTCGCAGGCGGCAGTGGTTGCCCGTGGTTATCAATGGCTGCGCCGCCTAC
-ATCGTAATGGCTGGTGGTGATGCGCATCGCAAAGCGGTTGCGCACGGCATCCAGCACTTTCAGCGCCTGG
-GTCATCACTTCCGGACCAATACCGTCCCCCGGCAATACGGCAATATGGTAATTCTTCGACATCACACGGT
-TTCCTTGTTGTTTTCGTTGTGTTGAGCTTTGCGTTGCAACTCTTTTTCGACTTCTGCGGCACGCCAGATA
-TTGTTCAGAACGTGCACCATGGCTTTGGCAGATGACTCGACAATATCGGTAGCCAGGCCGACGCCGTGGA
-AGCGGCGACCGTTGTAGTTAGCGACGATATCCACCTGACCCAGCGCATCTTTACCGTGGCCTTTGGCGGT
-CAGGCTGTATTTCACCAGTTCGACGTTATATTCAGTGATGCGGTTAATTGCCTGATAGACGGCATCGACC
-GGACCGTTACCGTTGGCGGCTTCTGCTTTGACTTCTTCGCCACAGGCCAGTTTGACGGCGGCGGTGGCGA
-TATCGTTAGAGCCAGACTGCACGCTGAAGTAATCCAGACGGAAATGCTCCGGCTCTTCTTGCTGCTTACC
-GATGAAGGCCAGCGCCTCCAGATCGTAATCAAACACCTGACCTTTTTTGTCCGCCAGCTTCAGGAAAGCA
-TCGTACAAATTGTCTAAATTATATTCACTTTCTTTATACCCCATCTCATCCATGCGATGTTTCACCGCCG
-CACGCCCCGAACGAGAGGTCAGATTCAGCTGGATTTGGTTCAGACCAATAGATTCTGGTGTCATGATTTC
-GTAGTTTTCGCGGTTTTTCAGCACGCCATCCTGGTGGATACCGGAGGAGTGTGCGAATGCGCCGCTGCCA
-ACAATGGCTTTGTTTGCCGGGATCGGCATATTACAAATCTGGCTAACTAACTGGCTGGTGCGCCATATCT
-CCTGGTGATTAATGGCGGTGTGGACGTTGAGAATATCCTTACGAACTTTGATCGCCATGATGACTTCTTC
-CAGGGAACAGTTTCCGGCACGCTCGCCGATCCCGTTCATTGCGCCTTCCACCTGGCGTGCACCGGCATGT
-ACCGCCGCCAGTGAGTTGCCGACCGCCAGGCCTAAATCGTCGTGGGTATGTACGGAAATAATGGCTTTGT
-CGATGTTAGGTACGCGTTCATACAGGCCGCTGATGATTCCGGCGAACTCAAACGGCATGGTGTAGCCCAC
-GGTGTCCGGAATGTTGATGGTGGTGGCACCGGCATTAATCGCCGCTTCGACCACTCGCGCCAGATCGGCA
-ATGGGTGTACGCCCGGCATCTTCGCAAGAAAATTCAACATCATCGGTGTAATTACGGGCGCGTTTCACCA
-TATAGATAGCGCGTTCGATCACTTCATCCAGCGTGCTGCGCAGCTTGGTGGCGATGTGCATTGGCGAAGT
-GGCAATAAAGGTATGAATACGGAAGGCTTCGGCGACTTTCAGGGATTCGGCCGCCACGTCGATATCTTTC
-TCCACGCAGCGAGCTAACGCGCATACGCGGCTGTTTTTAACCTGGCGAGCGATGGTTTGCACTGATTCAA
-AATCACCCGGCGAAGAAACGGGGAAACCGACTTCCATCACGTCAACACCCATACGCTCAAGGGCCAGCGC
-AATTTGCAGTTTTTCTTTCACACTCAAGCTTGCCTGTAACGCCTGTTCACCGTCGCGCAATGTGGTATCG
-AAAATAATGACTTGCTGGCTCATGGTTTGGGTCCTTGTCTCTTTTAGAGCGCCTCGCTTCGGGCATAAAA
-AAACCCGCGCAATGGCGCGGGTTTTTTGTTTGACTGCGTGCTGGCTTAATGCTGGATGCCGCTCACTCGT
-CTACCGCGCAAAGAAGATGCGTTTAGTAGTAGTAGACCGATAAAGCGAACGATGTGAGTCATTAAATCAG
-CTCCAGATGAATGCGATATGCTTTTAGAGTTACTGGATACAAAAACGGATGTCAACCCTGACGCAATAAA
-AACGTCCCGCCAGCGTGAGTTCTGCATCCGTAAAATTAGCTAATTGTGCTGCGGTGGTTAAAGTAAGCGA
-TATTAATTTCTGCTTAACTACCGACGCTTTTCATCGGTTGACATATTTCAGCATAAATTTTTGCATCTAA
-TCAACGAGGAAAAAGGGGACAAAATGCACGCGTTGCAAAACCTATCCTGATGATTTGTATTGAATTATAT
-GTTTTGCGATTTTTTTTGATATTGATTTGGTGAATATTATTGATCAATTAATGTTAAGAATTAATGCATT
-AAATATATAAATTAATTATTAAATAAGCACATTTAATCCATTTTGTAGATGATTGAGTATTCGCGGTAGT
-TATGATTAGATTGTTTTCGCAACAAAAACATTATGGATTATTATGCTGTGGTAAATGACTCATTCCACGG
-CAATGGATTCTGTTTTTATCAGAACCCGTATCTTTATGTTTTCCTAATTTTACTCATTTTCCTTTTTCTT
-ATTTTATATGCATGATAAATCATATTCTCGAGGATTATTTCTCTGCATTCCAATAAGGGAAAGGGAGTTA
-AGTGTGACAGTGGAGTTAAGTATGCCAGAGGTACAAACAGATCATCCAGAGACGGCGGAGTTAAGCAAGC
-CACAGCTACGCATGGTCGATCTCAACTTATTAACCGTTTTCGATGCCGTGATGCAGGAGCAAAACATTAC
-TCGTGCCGCTCATGTTCTGGGAATGTCGCAACCTGCGGTCAGTAACGCTGTTGCACGCCTGAAGGTGATG
-TTTAATGACGAGCTTTTTGTTCGTTATGGCCGTGGTATTCAACCGACTGCTCGCGCATTTCAACTTTTTG
-GTTCAGTTCGTCAGGCATTGCAACTAGTACAAAATGAATTGCCTGGTTCAGGTTTTGAACCCGCGAGCAG
-TGAACGTGTATTTCATCTTTGTGTTTGCAGCCCGTTAGACAGCATTCTGACCTCGCAGATTTATAATCAC
-ATTGAGCAGATTGCGCCAAATATACATGTTATGTTCAAGTCTTCATTAAATCAGAACACTGAACATCAGC
-TGCGTTATCAGGAAACGGAGTTTGTGATTAGTTATGAAGACTTCCATCGTCCTGAATTTACCAGCGTACC
-ATTATTTAAAGATGAAATGGTGCTGGTAGCCAGCAAAAATCATCCAACAATTAAGGGCCCGTTACTGAAA
-CATGATGTTTATAACGAACAACATGCGGCGGTTTCGCTCGATCGTTTCGCGTCATTTAGTCAACCTTGGT
-ATGACACGGTAGATAAGCAAGCCAGTATCGCGTATCAGGGCATGGCAATGATGAGCGTACTTAGCGTGGT
-GTCGCAAACGCATTTGGTCGCTATTGCGCCGCGTTGGCTGGCTGAAGAGTTCGCTGAATCCTTAGAATTA
-CAGGTATTACCGCTGCCGTTAAAACAAAACAGCAGAACCTGTTATCTCTCCTGGCATGAAGCTGCCGGGC
-GCGATAAAGGCCATCAGTGGATGGAAGAGCAATTAGTCTCAATTTGCAAACGCTAACTGATTGCAGAATA
-GGTCAGACATGAATGTCTGGTTTATTCTGCATTTTTTATTGAATGTAGAATTTTATTCTGAATGTGTGGG
-CTCTCTATTTTAGGATTAATTAAAAAAATAGAGAAATTGCTGTAAGTTGTGGGATTCAGCCGATTTATTA
-TCAATTTAATCCTCCGTAATGGAGGATTTTATCGTTTCTTTTCACCTTTCCTCCTGTTTATTCTTATTAC
-CCCGTGTTTATGTCTCTGGCTGCCAATTGCTTAAGCAAGATCGGACGGTTAATGTGTTTTACACATTTTT
-TCCGTCAAACAGTGAGGCAGGCCATGGAGATGTTGTCTGGAGCCGAGATGGTCGTCCGATCGCTTATCGA
-TCAGGGCGTTAAACAAGTATTCGGTTATCCCGGAGGCGCAGTCCTTGATATTTATGATGCATTGCATACC
-GTGGGTGGTATTGATCATGTATTAGTTCGTCATGAGCAGGCGGCGGTGCATATGGCCGATGGCCTGGCGC
-GCGCGACCGGGGAAGTCGGCGTCGTGCTGGTAACGTCGGGTCCAGGGGCGACCAATGCGATTACTGGCAT
-CGCCACCGCTTATATGGATTCCATTCCATTAGTTGTCCTTTCCGGGCAGGTAGCGACCTCGTTGATAGGT
-TACGATGCCTTTCAGGAGTGCGACATGGTGGGGATTTCGCGACCGGTGGTTAAACACAGTTTTCTGGTTA
-AGCAAACGGAAGACATTCCGCAGGTGCTGAAAAAGGCTTTCTGGCTGGCGGCAAGTGGTCGCCCAGGACC
-AGTAGTCGTTGATTTACCGAAAGATATTCTTAATCCGGCGAACAAATTACCCTATGTCTGGCCGGAGTCG
-GTCAGTATGCGTTCTTACAATCCCACTACTACCGGACATAAAGGGCAAATTAAGCGTGCTCTGCAAACGC
-TGGTGGCGGCAAAAAAACCGGTTGTCTACGTAGGTGGTGGGGCAATCACGGCGGGCTGCCATCAGCAGTT
-GAAAGAAATGGTGGAGGCGTTGAATCTGCCCGTTGTTTCCTCATTGATGGGGCTGGGGGCGTTTCCGGCA
-ACGCATCGTCAGGCACTGGGCATGCTGGGAATGCACGGTACCTACGAAGCCAATATGACGATGCATAACG
-CGGATGTGATTTTCGCCGTCGGGGTACGATTTGATGACCGAACGACGAACAATCTGGCAAAGTACTGCCC
-AAATGCCACTGTTCTGCATATCGATATTGATCCTACTTCCATTTCTAAAACCGTGACTGCGGATATCCCG
-ATTGTGGGGGATGCTCGCCAGGTCCTCGAACAAATGCTTGAACTCTTGTCGCAAGAATCCGCCCATCAAC
-CGCTGGATGAGATCCGCGACTGGTGGCAGCAAATTGAACAGTGGCGCGCTCGTCAGTGCCTGAAATATGA
-CACTCACAGTGAAAAGATTAAACCGCAGGCGGTGATCGAGACTCTTTGGCGGTTGACGAAGGGAGACGCT
-TACGTGACGTCCGATGTCGGGCAGCACCAGATGTTTGCTGCACTTTATTATCCATTCGACAAACCGCGTC
-GCTGGATCAATTCCGGTGGCCTCGGCACGATGGGTTTTGGTTTACCTGCGGCACTGGGCGTCAAAATGGC
-GTTGCCAGAAGAAACCGTGGTTTGCGTCACTGGCGACGGCAGTATTCAGATGAACATCCAGGAACTGTCT
-ACCGCGTTGCAATACGAGTTGCCCGTACTGGTGGTGAATCTCAATAACCGCTATCTGGGGATGGTGAAGC
-AGTGGCAGGACATGATCTATTCCGGCCGTCATTCACAATCTTATATGCAATCGCTACCCGATTTCGTCCG
-TCTGGCGGAAGCCTATGGGCATGTCGGGATCCAGATTTCTCATCCGCATGAGCTGGAAAGCAAACTTAGC
-GAGGCGCTGGAACAGGTGCGCAATAATCGCCTGGTGTTTGTTGATGTTACCGTCGATGGCAGCGAGCACG
-TCTACCCGATGCAGATTCGCGGGGGCGGAATGGATGAAATGTGGTTAAGCAAAACGGAGAGAACCTGATT
-ATGCGCCGGATATTATCAGTCTTACTCGAAAATGAATCAGGCGCGTTATCCCGTGTGATTGGCCTTTTTT
-CCCAGCGTGGCTACAACATTGAAAGCCTGACCGTTGCGCCAACCGACGATCCGACATTATCGCGTATGAC
-CATCCAGACCGTGGGCGATGAAAAAGTACTTGAGCAGATCGAAAAGCAATTACACAAACTGGTCGATGTC
-TTGCGCGTGAGTGAGTTGGGGCAGGGCGCGCATGTTGAGCGGGAAATCATGCTGGTGAAAATTCAGGCCA
-GCGGTTACGGGCGTGACGAAGTGAAACGTAATACGGAAATATTCCGTGGGCAAATTATCGATGTCACACC
-CTCGCTTTATACCGTTCAATTAGCAGGCACCAGCGGTAAGCTTGATGCATTTTTAGCATCGATTCGCGAT
-GTGGCGAAAATTGTGGAGGTTGCTCGCTCTGGTGTGGTCGGACTTTCGCGCGGCGATAAAATAATGCGTT
-GAGAATGATCTCAATGCGCAATTTACAGCCCAACATGTCACGTTGGGCTTTTTTTGCGAAATCAGTGGGA
-ACCTGGAATAAAAGCAGTTGCCGCAGTTAATTTTCTGCGCTTAGATGTTAATGAATTTAACCCATACCAG
-TACAATGGCTATGGTTTTTACATTTTACGCAAGGGGCAATTGTGAAACTGGATGAAATCGCTCGGCTGGC
-GGGAGTGTCGCGGACCACTGCAAGCTATGTTATTAACGGCAAAGCGAAGCAATACCGTGTGAGCGACAAA
-ACCGTTGAAAAAGTCATGGCTGTGGTGCGTGAGCACAATTACCACCCGAACGCCGTGGCAGCTGGGCTTC
-GTGCTGGACGCACACGTTCTATTGGTCTTGTGATCCCCGATCTGGAGAACACCAGCTATACCCGCATCGC
-TAACTATCTTGAACGCCAGGCGCGGCAACGGGGTTATCAACTGCTGATTGCCTGCTCAGAAGATCAGCCA
-GACAACGAAATGCGGTGCATTGAGCACCTTTTACAGCGTCAGGTTGATGCCATTATTGTTTCGACGTCGT
-TGCCTCCTGAGCATCCTTTTTATCAACGCTGGGCTAACGACCCGTTCCCGATTGTCGCGCTGGACCGCGC
-CCTCGATCGTGAACACTTCACCAGCGTGGTTGGTGCCGATCAGGATGATGCCGAAATGCTGGCGGAAGAG
-TTACGTAAGTTTCCCGCCGAGACGGTGCTTTATCTTGGTGCGCTACCGGAGCTTTCTGTCAGCTTCCTGC
-GTGAACAAGGTTTCCGTACTGCCTGGAAAGATGATCCGCGCGAAGTGCATTTCCTGTATGCCAACAGCTA
-TGAGCGGGAGGCGGCTGCCCAGTTATTCGAAAAATGGCTGGAAACGCATCCGATGCCGCAGGCGCTGTTC
-ACAACGTCGTTTGCGTTGTTGCAAGGAGTGATGGATGTCACGCTGCGTCGCGACGGCAAACTGCCTTCTG
-ACCTGGCAATTGCCACCTTTGGCGATAACGAACTGCTCGACTTCTTACAGTGTCCGGTGCTGGCAGTGGC
-TCAACGTCACCGCGATGTCGCAGAGCGTGTGCTGGAGATTGTCCTGGCAAGCCTGGACGAACCGCGTAAG
-CCAAAACCTGGTTTAACGCGCATTAAACGTAATCTCTATCGCCGCGGCGTGCTCAGCCGTAGCTAAGCCG
-CGAACAAAAATACGCGCCAGGTGAATTTCCCTCTGGCGCGTAGAGTACGGGAATGGACATCAATATCCTT
-AAAGTAAATAAGACTATTCCTGACTATTATTGATAAGTTCTTTTAAACCCGCCCGTTAATTAACTCACCA
-GCTGAAATTCACAATAATTAAGTGATATCGACAGCGCGTTTTTGCATTATTTTGTTACATGCAGAGATGA
-ATTGCCGATTTAACAAGCACTTTTCTTTGCTTTTGCGCAAACCCGCTGGCATCAAGCGCCACACAGACGC
-AACAGGGACTGTTAACCGGGGAAGATATGTCCTAAAATGCCGCTCGCGTCGCAAACTGACACTTTATATT
-TGCTGTGGAAAATAGTGAGTCATTTTAAAACGGTGATGACGATGAGGGATTTTTTCTTACAGCTATTCAT
-AACGTTAATTTGCTGCGCACGTTGGACGTAAAATAAACAACGCTGATATTAGCCGTAAACATCGGGTTTT
-TTACCTCGGTATGCCTTGTGACTGGCTTGACAAGCTTTTCCTCCGCTCCGTAAACTCCTTTCAGTGGGAA
-ATTGTGGGGCAAAGTGGGAATAAGGGGTGAGGCTGGCATGTTCCGGGGAGCAACGTTAGTCAATCTCGAC
-AGCAAAGGGCGCTTATCAGTGCCTACCCGTTACCGGGAACAGCTGCTTGAGAACGCTGCCGGTCAAATGG
-TTTGCACCATTGACATTCATCACCCGTGCCTGCTGCTTTACCCCCTGCCTGAATGGGAAATTATCGAGCA
-AAAATTATCGCGTCTGTCGAGCATGAACCCGGTTGAGCGCCGTGTGCAGCGCCTACTGTTAGGTCATGCC
-AGCGAATGTCAGATGGATGGCGCAGGTCGATTGTTAATCGCGCCAGTACTGCGGCAACATGCCGGGCTGA
-CAAAAGAAGTGATGCTGGTTGGACAGTTCAACAAGTTTGAGCTGTGGGATGAAACAACCTGGCATCAACA
-GGTCAAGGAAGATATCGACGCAGAGCAGTTGGCTACCGGAGACTTATCGGAGCGACTGCAGGACTTGTCT
-CTATAAAATGATGGAAAACTATAAACATACTACGGTGCTGCTGGATGAAGCCGTTAATGGCCTCAATATC
-CGTCCTGATGGCATCTACATTGATGGGACTTTTGGTCGCGGTGGTCACTCACGTCTGATCCTCTCGCAGC
-TTGGCGAAGAGGGGCGTTTGCTGGCGATCGATCGCGACCCGCAGGCTATCGCCGTTGCGAAGACTATTGA
-TGATCCGCGCTTCTCCATCATCCACGGACCTTTCTCCGCGCTGGGCGAATACGTTGCCGAGCGCGATCTT
-ATCGGCAAGATCGACGGCATTCTCCTCGATCTTGGCGTCTCTTCACCGCAACTTGATGATGCTGAGCGCG
-GCTTTTCCTTTATGCGCGATGGTCCGCTGGACATGCGTATGGACCCAACCCGTGGGCAGTCAGCCGCTGA
-ATGGCTACAAACCGCAGAAGAAGCCGATATCGCCTGGGTATTGAAAACCTATGGTGAAGAGCGTTTTGCC
-AAACGCATTGCCCGCGCCATTGTCGAGCGTAACCGCGAACAGCCGATGACCCGCACCAAAGAACTGGCGG
-AAGTCGTGGCTGCTGCAACGCCGGTGAAAGATAAGTTTAAACATCCCGCGACCCGTACCTTCCAGGCGGT
-GCGCATTTGGGTAAACAGTGAACTGGAGGAGATAGAGCAGGCGCTAAAAAGCTCGCTCAACGTGCTGGCC
-CCGGGTGGGCGGCTTTCGATCATCAGCTTCCACTCGCTGGAAGACCGTATTGTGAAACGTTTTATGCGTG
-AAAACAGCCGCGGTCCGCAAGTTCCGGCAGGGTTACCGATGACTGAAGAGCAGCTCAAAAAACTGGGTGG
-CCGTCAGCTGCGAGCACTAGGCAAGTTAATGCCGGGCGAAGAAGAGGTGGCTGAGAACCCTCGTGCCCGT
-AGTTCAGTTCTGCGTATTGCAGAGAGGACGAATGCATGATCAGCAGAGTGACAGAAGCTCTAAGCAAAGT
-TAAAGGATCGATGGGAAGCCACGAGCGCCATGCATTGCCTGGTGTTATCGGTGACGATCTTTTGCGATTT
-GGGAAGCTGCCACTCTGCCTGTTCATTTGCATTATTTTGACGGCGGTGACTGTGGTAACCACGGCGCACC
-ATACCCGTTTACTGACCGCTCAGCGCGAACAACTGGTGCTGGAGCGAGATGCTTTAGACATTGAATGGCG
-CAACCTGATCCTTGAAGAGAATGCGCTCGGCGACCATAGCCGGGTGGAAAGGATCGCCACGGAAAAGCTG
-CAAATGCAGCATGTTGATCCGTCACAAGAAAATATCGTAGTGCAAAAATAAGGATAAACGCGACGCATGA
-AAGCAGCGGCGAAAACGCAGAAACCAAAACGTCAGGAAGAACATGCCAACTTTATCAGTTGGCGTTTTGC
-GTTGTTATGCGGCTGTATTCTCCTGGCGCTGGCTTTTCTGCTCGGACGCGTAGCGTGGTTACAAGTTATC
-TCCCCGGATATGCTGGTGAAAGAGGGCGACATGCGTTCTCTTCGCGTTCAGCAAGTTTCCACCTCCCGCG
-GCATGATTACTGACCGTTCTGGTCGCCCGTTAGCGGTGAGCGTGCCGGTAAAAGCGATTTGGGCTGACCC
-GAAAGAAGTGCATGACGCTGGCGGTATCAGCGTCGGTGACCGCTGGAAGGCGCTGGCTAACGCGCTCAAT
-ATTCCGCTGGATCAGCTTTCAGCCCGCATTAACGCCAACCCGAAAGGGCGCTTTATTTATCTGGCGCGTC
-AGGTGAACCCTGACATGGCGGACTACATCAAAAAACTGAAACTGCCGGGGATTCATCTGCGTGAAGAATC
-TCGCCGTTATTATCCATCCGGCGAAGTGACTGCTCACCTCATTGGCTTTACTAACGTCGATAGTCAAGGG
-ATTGAGGGCGTTGAGAAGAGTTTCGATAAATGGCTTACCGGGCAGCCGGGTGAGCGCATTGTGCGTAAAG
-ACCGCTATGGTCGCGTAATTGAAGATATTTCTTCTACTGACAGCCAGGCTGCGCACAACCTGGCGCTGAG
-TATTGATGAACGCCTGCAGGCGCTGGTTTATCGCGAACTGAACAATGCGGTGGCCTTTAACAAGGCTGAA
-TCTGGTAGCGCCGTGCTGGTGGATGTCAACACCGGTGAAGTGCTGGCGATGGCTAACAGCCCGTCATACA
-ACCCTAACAATCTGAGCGGCACGCCGAAAGAGGCGATGCGTAACCGTACCATCACCGACGTGTTTGAACC
-TGGCTCAACGGTTAAACCGATGGTGGTGATGACCGCGTTGCAACGTGGCGTGGTGCGGGAAAACTCGGTA
-CTCAATACCATTCCTTATCGAATTAACGGCCACGAAATCAAAGACGTGGCACGCTACAGCGAATTAACCC
-TGACCGGGGTATTACAGAAGTCGAGTAACGTCGGTGTTTCCAAGCTGGCGTTAGCGATGCCGTCCTCAGC
-GTTAGTAGATACTTACTCACGTTTTGGACTGGGAAAAGCGACCAATTTGGGGTTGGTCGGAGAACGCAGT
-GGCTTATATCCTCAAAAACAACGGTGGTCTGACATAGAGAGGGCCACCTTCTCTTTCGGCTACGGGCTAA
-TGGTAACACCGTTACAGTTAGCGCGAGTCTACGCAACTATCGGCAGCTACGGCATTTATCGCCCACTGTC
-GATTACCAAAGTTGACCCCCCGGTTCCCGGTGAACGTGTCTTCCCGGAATCCATTGTCCGCACCGTGGTG
-CATATGATGGAAAGCGTGGCGCTACCGGGCGGCGGCGGCGTGAAGGCGGCGATTAAAGGCTATCGTATCG
-CCATTAAAACCGGTACCGCGAAAAAGGTCGGGCCGGACGGTCGCTACATCAATAAATATATTGCTTATAC
-CGCAGGCGTTGCGCCTGCGAGTCAGCCGCGCTTCGCGCTGGTTGTTGTTATCAACGATCCGCAGGCGGGT
-AAATACTACGGCGGCGCCGTTTCCGCGCCGGTCTTTGGTGCCATCATGGGCGGCGTATTGCGTACCATGA
-ACATCGAGCCGGATGCGCTGACAACGGGCGATAAAAATGAATTTGTGATTAATCAAGGCGAGGGGACAGG
-TGGCAGATCGTAATTTGCGCGACCTTCTTGCTCCGTGGGTGCCAGACGCACCTTCGCGAGCACTGCGAGA
-GATGACACTCGACAGCCGTGTGGCTGCGGCGGGCGATCTCTTTGTAGCTGTAGTAGGTCATCAGGCGGAC
-GGGCGTCGATATATCCCGCAGGCGATAGCGCAAGGTGTGGCTGCCATTATTGCAGAGGCGAAAGATGAGG
-CGACCGACGGTGAAATCCGTGAAATGCACGGCGTACCGGTCATCTATCTCAGCCAGCTCAATGAGCGTTT
-ATCTGCACTGGCGGGCCGCTTTTACCATGAACCCTCTGACAATTTACGTCTCGTAGGCGTAACGGGCACC
-AACGGCAAAACCACGACTACCCAGCTGCTGGCGCAGTGGAGCCAACTGCTTGGCGAAACCAGCGCGGTAA
-TGGGCACCGTTGGTAACGGCCTGCTGGGGAAAGTGATCCCGACAGAAAATACCACCGGTTCGGCAGTCGA
-TGTTCAGCATGAGCTTGCGGGGCTGGTGGATCAGGGCGCGACGTTTTGCGCAATGGAAGTTTCCTCCCAC
-GGGCTGGTACAGCACCGTGTGGCGGCATTGAAATTTGCGGCGTCGGTCTTTACGAACTTAAGCCGCGATC
-ACCTTGATTATCATGGTGATATGGAACACTACGAAGCCGCGAAATGGCTGCTTTATTCTGAGCATCATTG
-CGGTCAGGCGATTATTAACGCCGACGATGAAGTGGGCCGCCGCTGGCTGGCAAAACTGCCGGACGCGGTT
-GCGGTATCAATGGAAGATCATATCAATCCGAACTGTCACGGACGCTGGTTAAAAGCGAACGACGTGAACT
-ATCACGACAGCGGTGCGACGATTCGCTTTAGCTCAAGTTGGGGCGATGGCGAAATTGAGAGCCATCTGAT
-GGGCGCTTTTAACGTCAGCAACCTGCTGCTCGCGCTGGCGACACTGTTGGCACTCGGCTATCCATTGGCT
-GATCTGTTGAAAACCGCCGCGCGTCTGCAACCGGTTTGCGGACGTATGGAAGTGTTCACTGCGCCAGGCA
-AACCGACGGTGGTGGTGGATTACGCGCATACGCCGGATGCACTGGAAAAAGCCTTACAGGCGGCGCGTCT
-GCACTGTGCGGGCAAGCTGTGGTGTGTCTTTGGCTGTGGTGGCGATCGCGATAAAGGTAAGCGTCCACTG
-ATGGGCGCAATTGCCGAAGAGTTTGCTGACGTGGCGGTGGTGACGGACGATAACCCGCGTACCGAAGAAC
-CGCGTGCCATCATCAACGATATTCTGGCGGGAATGTTAGATGCCGGACATGCCAAAGTGATGGAAGGCCG
-TGCTGAAGCGGTGACTTGCGCCGTTATGCAGGCTAAAGAGAATGATGTGGTACTGGTCGCGGGCAAAGGC
-CATGAAGATTACCAGATTGTTGGCAATCAGCGTCTGGACTACTCCGATCGCGTCACGGTGGCGCGTCTGC
-TGGGGGTGATTGCATGATTAGCGTAACCCTTAGCCAACTTACCGACATTCTCAACGGTGAACTGCAAGGT
-GCAGATATCACCCTTGATGCTGTAACCACTGATACCCGAAAACTGACGCCGGGCTGCCTGTTTGTTGCCC
-TGAAAGGCGAACGTTTTGATGCCCACGATTTTGCCGACCAGGCGAAAGCTGGCGGCGCAGGCGCACTACT
-GGTTAGCCGTCCGCTGGACATCGACCTGCCGCAGTTAATCGTCAAGGATACGCGTCTGGCGTTTGGTGAA
-CTGGCTGCATGGGTTCGCCAGCAAGTTCCGGCGCGCGTGGTTGCTCTGACGGGGTCCTCCGGCAAAACCT
-CCGTTAAAGAGATGACGGCGGCGATTTTAAGCCAGTGCGGCAACACGCTTTATACGGCAGGCAATCTCAA
-CAACGACATCGGTGTACCGATGACGCTGTTGCGCTTAACGCCGGAATACGATTACGCAGTTATTGAACTT
-GGCGCGAACCATCAGGGCGAAATAGCCTGGACTGTGAGTCTGACTCGCCCGGAAGCTGCGCTGGTCAACA
-ACCTGGCAGCGGCGCATCTGGAAGGTTTTGGCTCGCTTGCGGGTGTCGCGAAAGCGAAAGGTGAAATCTT
-TAGCGGCCTGCCGGAAAACGGTATCGCCATTATGAACGCCGACAACAACGACTGGCTGAACTGGCAGAGC
-GTAATTGGCTCACGCAAAGTGTGGCGTTTCTCACCCAATGCCGCCAACAGCGATTTCACCGCCACCAATA
-TCCATGTGACCTCGCACGGTACGGAATTTACCCTACAAACCCCAACCGGTAGCGTCGATGTTCTGCTGCC
-GTTGCCGGGGCGTCACAATATTGCGAATGCGCTGGCAGCCGCTGCGCTCTCCATGTCCGTGGGCGCAACG
-CTTGATGCTATCAAAGCGGGGCTGGCAAATCTGAAAGCTGTTCCAGGCCGTCTGTTCCCCATCCAACTGG
-CAGAAAACCAGTTGCTGCTCGACGACTCCTACAACGCCAATGTCGGTTCAATGACTGCAGCAGTCCAGGT
-ACTGGCTGAAATGCCGGGCTACCGCGTGCTGGTGGTGGGCGATATGGCGGAACTGGGCGCTGAAAGCGAA
-GCCTGCCATGTACAGGTGGGCGAGGCGGCAAAAGCTGCTGGTATTGACCGCGTGTTAAGCGTGGGTAAAC
-AAAGCCATGCTATCAGCACCGCCAGCGGCGTTGGCGAACATTTTGCTGATAAAACTGCGTTAATTACGCG
-TCTTAAATCACTGATTGCTGAGCAACAGGTAATTACGATTTTAGTTAAGGGTTCACGTAGTGCCGCCATG
-GAAGAGGTAGTACGCGCTTTACAGGAGAATGGGACATGTTAGTTTGGCTGGCCGAACATTTGGTCAAATA
-TTATTCCGGCTTTAACGTCTTTTCCTATCTGACGTTTCGCGCCATCGTCAGCCTGCTGACCGCGCTGTTC
-ATCTCATTGTGGATGGGCCCGCGTATGATTGCTCATTTGCAAAAACTTTCCTTTGGTCAGGTGGTGCGTA
-ACGACGGTCCTGAATCACACTTCAGCAAGCGCGGTACGCCGACCATGGGCGGGATTATGATCCTGACGGC
-GATTGTGATCTCCGTACTGCTGTGGGCTTACCCGTCCAATCCGTACGTCTGGTGCGTGTTGGTGGTGCTG
-GTAGGTTACGGTGTTATTGGCTTTGTTGATGATTATCGCAAAGTGGTGCGTAAAGACACCAAAGGGTTGA
-TCGCTCGTTGGAAGTATTTCTGGATGTCGGTCATTGCGCTGGGTGTCGCCTTCGCCCTGTACCTTGCCGG
-CAAAGACACGCCCGCAACGCAGCTGGTGGTCCCATTCTTTAAAGATGTGATGCCGCAGCTGGGGCTGTTC
-TACATTCTGCTGGCTTACTTCGTCATTGTGGGTACTGGCAACGCGGTAAACCTGACCGATGGTCTCGACG
-GCCTGGCAATTATGCCGACCGTATTTGTCGCCGGTGGTTTTGCGCTGGTGGCGTGGGCGACCGGCAATAT
-GAACTTTGCCAGCTACTTGCATATACCGTATCTGCGACACGCCGGGGAACTGGTTATTGTCTGTACCGCG
-ATAGTCGGGGCAGGACTGGGCTTCCTGTGGTTTAACACCTATCCGGCGCAGGTCTTTATGGGCGATGTAG
-GTTCGCTGGCGTTAGGTGGTGCGTTAGGCATTATCGCCGTACTGCTACGTCAGGAATTCCTGCTGGTGAT
-TATGGGGGGCGTGTTCGTGGTAGAAACGCTTTCTGTCATCCTGCAGGTCGGCTCCTTTAAACTGCGCGGA
-CAACGTATTTTCCGCATGGCACCGATTCATCACCACTATGAACTGAAAGGCTGGCCGGAACCGCGCGTCA
-TTGTGCGTTTCTGGATTATTTCGCTGATGCTGGTTCTGATTGGTCTGGCAACGCTGAAGGTACGTTAATC
-ATGGCTGATTATCAGGGTAAAAATGTCGTCATTATCGGCCTGGGCCTCACCGGGCTTTCCTGCGTGGACT
-TTTTCCTCGCTCGCGGTGTGACGCCGCGCGTTATGGATACGCGTATGACACCGCCTGGCCTGGATAAATT
-ACCCGAAGCCGTAGAACGCCACACGGGCAGTCTGAATGATGAATGGCTGATGGCGGCAGATCTGATTGTC
-GCCAGTCCCGGTATTGCACTGGCGCATCCATCCTTAAGCGCTGCCGCTGATGCCGGAATCGAAATCGTTG
-GCGATATCGAGCTGTTCTGTCGCGAAGCACAAGCACCGATTGTGGCGATTACCGGTTCTAACGGCAAAAG
-CACGGTCACCACGCTAGTGGGTGAAATGGCGAAAGCGGCGGGGGTTAACGTTGGTGTGGGTGGCAATATT
-GGCCTGCCTGCGTTGATGCTACTGGATGATGAGTGTGAACTGTACGTGCTGGAACTGTCGAGCTTCCAGC
-TGGAAACCACCTCCAGCTTACAGGCGGTAGCAGCGACCATTCTGAACGTGACTGAAGATCATATGGATCG
-CTATCCGTTTGGTTTACAACAGTATCGTGCAGCAAAACTGCGCATTTACGAAAACGCGAAAGTTTGCGTG
-GTTAATGCTGATGATGCCTTAACAATGCCGATTCGCGGTGCGGATGAACGCTGCGTCAGCTTTGGCGTCA
-ACATGGGTGACTATCACCTGAATCATCAGCAGGGCGAAACCTGGCTGCGGGTTAAAGGCGAGAAAGTGCT
-GAATGTGAAAGAGATGAAACTTTCCGGGCAGCATAACTACACCAATGCGCTGGCGGCGCTGGCGCTGGCA
-GATGCTGCAGGGTTACCGCGTGCCAGCAGCCTGAAAGCGTTAACCACATTCACTGGTCTGCCGCATCGCT
-TTGAAGTTGTGCTGGAGCATAACGGCGTACGTTGGATTAACGATTCGAAAGCGACCAACGTCGGCAGTAC
-GGAAGCGGCGCTGAATGGCCTGCACGTAGACGGCACACTGCATTTGTTGCTGGGTGGCGATGGTAAATCG
-GCGGACTTTAGCCCACTGGCGCGTTACCTGAATGGCGATAACGTACGTCTGTATTGTTTCGGTCGTGACG
-GCGCGCAGCTGGCGGCGCTACGCCCGGAAGTGGCAGAACAAACCGAAACTATGGAACAGGCGATGCGCTT
-GCTGGCTCCGCGTGTTCAGCCGGGCGATATGGTTCTGCTCTCCCCAGCCTGTGCCAGCCTTGATCAGTTC
-AAGAACTTTGAACAACGAGGCAATGAGTTTGCCCGTCTGGCGAAGGAGTTAGGTTGATGCGTTTATCTCT
-CCCTCGCCTGAAAATGCCGCGCCTGCCAGGATTCAGTATCCTGGTCTGGATCTCCACGGCGCTAAAGGGC
-TGGGTGATGGGCTCGCGGGAAAAAGATACCGACAGCCTGATCATGTACGATCGCACCTTACTGTGGCTGA
-CCTTCGGCCTCGCGGCGATTGGCTTTATCATGGTGACCTCGGCGTCAATGCCCATAGGGCAACGCTTAAC
-CAACGATCCGTTCTTCTTCGCGAAGCGTGATGGTGTCTATCTGATTTTGGCGTTTATTCTGGCGATCATT
-ACGCTGCGTCTGCCGATGGAGTTCTGGCAACGCTACAGTGCCACGATGCTGCTCGGATCTATCATCCTGC
-TGATGATCGTCCTGGTAGTGGGTAGCTCGGTTAAAGGGGCATCGCGTTGGATCGATCTCGGTTTGCTGCG
-TATCCAGCCTGCGGAGCTGACAAAACTGTCGCTGTTTTGCTATATCGCCAACTATCTGGTGCGTAAAGGC
-GACGAAGTACGTAATAACCTGCGCGGCTTCCTGAAACCGATGGGCGTGATTCTGGTGTTGGCAGTGTTAC
-TGCTGGCACAGCCAGACCTTGGTACGGTGGTGGTGTTGTTTGTGACTACGCTGGCGATGTTGTTCCTGGC
-GGGAGCGAAATTGTGGCAGTTCATTGCCATTATCGGTATGGGCATTTCAGCGGTTGTGTTGCTGATACTC
-GCCGAACCGTACCGTATCCGCCGTGTTACCGCATTCTGGAACCCGTGGGAAGATCCCTTTGGCAGCGGCT
-ATCAGTTAACGCAATCGCTGATGGCGTTTGGTCGCGGCGAACTTTGGGGGCAAGGTTTAGGTAACTCGGT
-ACAAAAACTGGAGTATCTGCCGGAAGCGCACACTGACTTTATTTTCGCCATTATCGGCGAAGAACTGGGG
-TATGTCGGTGTGGTGCTGGCACTTTTAATGGTATTCTTCGTCGCTTTTCGCGCGATGTCGATTGGCCGTA
-AAGCATTAGAAATTGACCACCGTTTTTCCGGTTTTCTCGCCTGTTCTATTGGCATCTGGTTTAGCTTCCA
-GGCGCTGGTTAACGTAGGCGCGGCGGCGGGGATGTTACCGACCAAAGGTCTGACATTGCCGCTGATCAGT
-TACGGTGGTTCGAGCTTACTGATTATGTCGACAGCCATCATGATGCTGTTGCGTATTGATTATGAAACGC
-GTCTGGAGAAAGCGCAGGCGTTTGTACGAGGTTCACGATGAGTGGTCAAGGAAAGCGATTAATGGTGATG
-GCAGGCGGAACCGGTGGACATGTATTCCCGGGACTGGCGGTTGCGCACCATCTAATGGCTCAGGGTTGGC
-AAGTTCGCTGGCTGGGGACTGCCGACCGTATGGAAGCGGACTTAGTGCCAAAACATGGCATCGAAATTGA
-TTTCATTCGTATCTCTGGTCTGCGTGGAAAAGGTATAAAAGCACTGATAGCTGCCCCGCTGCGTATCTTC
-AACGCCTGGCGTCAGGCGCGGGCGATTATGAAAGCGTACAAACCTGACGTGGTGCTCGGTATGGGAGGCT
-ACGTGTCAGGTCCAGGTGGTCTGGCCGCGTGGTCGTTAGGCATTCCGGTTGTACTTCATGAACAAAACGG
-TATTGCGGGCTTAACCAATAAATGGCTGGCGAAGATTGCCACCAAAGTGATGCAGGCGTTTCCAGGTGCT
-TTCCCTAATGCGGAAGTAGTGGGTAACCCGGTGCGTACCGATGTGTTGGCGCTGCCGTTGCCGCAGCAAC
-GTTTGGCTGGACGTGAAGGTCCGGTTCGTGTGCTGGTAGTGGGTGGTTCTCAGGGCGCACGCATTCTTAA
-CCAGACAATGCCGCAGGTTGCTGCGAAACTGGGTGATTCAGTCACTATCTGGCATCAGAGCGGCAAAGGT
-TCGCAACAATCCGTTGAACAGGCGTATGCCGAAGCGGGGCAACCGCAGCATAAAGTGACGGAATTTATTG
-ATGATATGGCGGCGGCGTATGCGTGGGCGGATGTCGTCGTTTGCCGCTCCGGTGCGTTAACGGTGAGTGA
-AATCGCCGCGGCAGGACTACCGGCGTTGTTTGTGCCGTTTCAACATAAAGACCGCCAGCAATACTGGAAT
-GCGCTACCGCTGGAAAAAGCGGGCGCAGCCAAAATTATCGAGCAGCCACAGCTTAGCGTGGATGCTGTCG
-CCAACACCCTGGCCGGGTGGTCGCGAGAAACCTTATTAACCATGGCAGAACGCGCCCGCGCTGCATCCAT
-TCCGGATGCCACCGAGCGAGTGGCAAATGAAGTGAGCCGGGTTGCCCGGGCGTAATTGTAGCGATGCCTT
-TTGCATCGTATGAATTTAAGAAGTTAATGGCGTAAAGAATGAATACACAACAATTGGCAAAACTGCGTTC
-CATCGTGCCCGAAATGCGTCGCGTTCGGCACATACATTTTGTCGGCATTGGTGGTGCCGGTATGGGCGGT
-ATTGCCGAAGTTCTGGCCAATGAAGGTTATCAGATCAGTGGTTCCGATTTAGCGCCAAATCCGGTCACGC
-AGCAGTTAATGAATCTGGGAGCGACGATTTATTTCAACCATCGCCCGGAAAACGTACGTGATGCCAGCGT
-GGTCGTTGTTTCCAGCGCGATTTCTGCCGATAACCCGGAAATTGTCGCAGCTCATGAAGCGCGTATTCCG
-GTGATCCGTCGTGCCGAAATGCTGGCTGAGTTAATGCGTTTTCGTCATGGCATCGCCATTGCAGGAACGC
-ACGGCAAAACGACAACCACCGCGATGGTTTCCAGCATCTACGCAGAAGCGGGGCTCGACCCAACCTTCGT
-TAACGGCGGGCTGGTAAAAGCGGCGGGGGTTCATGCGCGTTTGGGGCATGGTCGGTACCTGATTGCCGAA
-GCAGATGAGAGTGATGCATCGTTCCTGCATCTGCAACCGATGGTGGCGATTGTCACCAATATCGAAGCCG
-ACCACATGGATACCTACCAGGGCGACTTTGAGAATTTAAAACAGACTTTTATTAATTTTCTGCACAACCT
-GCCTTTTTACGGTCGTGCGGTGATGTGTGTTGATGATCCGGTGATCCGCGAATTGTTACCGCGAGTGGGA
-CGTCAGACCACGACTTACGGCTTCAGCGAAGATGCCGACGTGCGTGTAGAAGATTATCAGCAGATTGGCC
-CGCAGGGGCACTTTACGCTGCTGCGCCAGGACAAAGAGCCGATGCGCGTCACCCTGAATGCGCCAGGTCG
-TCATAACGCGCTGAACGCCGCAGCTGCGGTTGCGGTTGCTACGGAAGAGGGAATTGATGACGAGGCTATT
-TTACGTGCGCTGGAGAGCTTCCAGGGGACTGGGCGCCGTTTTGATTTCCTCGGTGAATTCCCGCTGGAGC
-CAGTGAATGGTAAAAGCGGTACGGCGATGTTGGTCGATGACTACGGCCACCACCCGACGGAAGTGGACGC
-CACTATTAAAGCGGCGCGTGCAGGCTGGCCGGATAAAAACCTGGTAATGCTGTTTCAGCCGCACCGTTTT
-ACCCGTACGCGCGACCTGTATGATGATTTCGCCAATGTGCTGACGCAGGTTGATACCCTGTTGATGCTGG
-AAGTGTATCCGGCTGGCGAAGCGCCAATTCCGGGAGCGGACAGCCGTTCGCTGTGTCGCACAATTCGTGG
-ACGTGGGAAAATTGATCCCATTCTGGTGCCGGACCCTGCGCAGGTAGCCGAGATGCTGGCACCGGTATTA
-ACCGGTAACGACCTGATTCTCGTTCAGGGGGCTGGTAATATCGGAAAAATTGCCCGTTCTTTAGCTGAAA
-TCAAACTGAAGCCGCAAACTCCGGAGGAAGAACAACATGACTGATAAAATCGCGGTCCTGTTGGGCGGGA
-CTTCCGCTGAGCGGGAAGTTTCTCTGAATTCTGGCGCAGCGGTGTTAGCCGGGCTGCGTGAAGGCGGTAT
-TGATGCGTATCCTGTCGACCCGAAAGAAGTCGACGTGACGCAACTGAAGTCGATGGGTTTTCAGAAAGTG
-TTTATCGCGCTACACGGTCGCGGCGGTGAAGATGGTACGCTGCAGGGCATGCTCGAGCTGATGGGCTTGC
-CTTATACCGGCAGCGGAGTGATGGCATCTGCGCTTTCAATGGATAAACTACGCAGCAAACTGCTGTGGCA
-AGGTGCCGGTTTACCGGTCGCGCCGTGGGTAGCGTTAACCCGCGCAGAGTTTGAAAAAGGCCTGAGCGAT
-AAGCAGTTAGCAGAAATTTCTGCTCTGGGTTTGCCGGTTATCGTTAAGCCGAGCCGCGAAGGTTCCAGTG
-TGGGAATGTCAAAAGTAGTAGCAGAAAATGCTCTACAAGATGCATTAAGATTGGCATTTCAGCACGATGA
-AGAAGTATTGATTGAAAAATGGCTAAGTGGGCCGGAGTTCACGGTTGCGATACTCGATGAAGAAATTTTA
-CCGTCAATACGTATTCAACCGTCCGGAACCTTCTATGATTATGAGGCGAAGTATCTCTCTGATGAGACAC
-AGTATTTCTGCCCCGCAGGTCTGGAAGCGTCACAAGAGGCCAATTTGCAGGCATTAGTGCTGAAAGCATG
-GACGACGTTAGGTTGCAAAGGATGGGGACGTATTGACGTTATGCTGGACAGCGATGGACAGTTTTATCTG
-CTGGAAGCCAATACCTCACCGGGTATGACCAGCCACAGCCTGGTGCCGATGGCGGCACGTCAGGCAGGTA
-TGAGCTTCTCGCAGTTGGTAGTACGAATTCTGGAACTGGCGGACTAATATGTCGCAGGCTGCTCTGAACA
-CGCGAAATAGCGAAGAAGAGGTTTCTTCTCGCCGCAATAATGGAACGCGTCTGGCGGGGATCCTTTTCCT
-GCTGACCGTTTTAACGACAGTGTTGGTGAGCGGCTGGGTCGTGTTGGGCTGGATGGAAGATGCGCAACGC
-CTGCCGCTCTCAAAGCTGGTGTTGACCGGTGAACGCCATTACACGCGTAATGACGATATCCGGCAGTCGA
-TCCTGGCATTGGGTGAGCCGGGTACCTTTATGACCCAGGATGTCAACATCATCCAGACGCAAATAGAACA
-ACGCCTGCCGTGGATTAAGCAGGTGAGCGTCAGAAAGCAGTGGCCTGATGAATTGAAGATTCATCTGGTT
-GAATATGTGCCGATTGCGCGGTGGAATGATCAACACATGGTAGACGCGGAAGGAAACACCTTCAGCGTGC
-CGCCAGATCGCACCAGCAAGCAGGTGCTTCCAATGCTGTATGGCCCGGAAGGCAGCGCTAATGAAGTGTT
-GCAGGGCTATCGCGAAATGGGGCAGATGCTGGCAAAGGACAGATTTACTCTGAAGGAAGCGGCGATGACC
-GCGCGGCGTTCCTGGCAGTTGACGCTGAATAACGATATTAAGCTCAATCTTGGCCGGGGCGATACGATGA
-AACGTTTGGCTCGCTTTGTAGAACTTTATCCGGTTTTACAGCAGCAGGCGCAAACCGATGGCAAACGGAT
-TAGCTACGTTGATTTGCGTTATGACTCTGGAGCGGCAGTAGGCTGGGCGCCCTTGCCGCCAGAGGAATCT
-ACTCAGCAACAAAATCAGGCACAGGCAGAACAACAATGATCAAGGCGACGGACAGAAAACTGGTAGTAGG
-ACTGGAGATTGGTACCGCGAAGGTTGCCGCTTTAGTAGGGGAAGTTCTGCCCGACGGTATGGTCAATATC
-ATTGGCGTGGGCAGCTGCCCGTCGCGTGGTATGGATAAAGGCGGGGTGAACGACCTCGAATCCGTGGTCA
-AGTGCGTACAGCGCGCCATTGACCAGGCAGAATTGATGGCAGATTGTCAGATCTCTTCGGTATATCTGGC
-GCTTTCTGGTAAGCATATCAGCTGCCAGAATGAAATTGGTATGGTGCCTATTTCTGAAGAAGAAGTAACG
-CAAGAAGATGTGGAAAACGTCGTCCATACCGCGAAATCGGTGCGTGTGCGCGATGAGCATCGTGTGCTGC
-ATGTGATCCCGCAAGAGTATGCGATTGACTATCAGGAAGGGATCAAGAATCCGGTAGGACTTTCGGGCGT
-GCGGATGCAGGCAAAAGTGCACCTGATCACATGTCACAACGATATGGCGAAAAACATCGTCAAAGCGGTT
-GAACGTTGTGGGCTGAAAGTTGACCAACTGATATTTGCCGGACTGGCATCAAGTTATTCGGTATTGACGG
-AAGATGAACGTGAACTGGGTGTCTGCGTCGTCGATATCGGTGGTGGTACAATGGATATCGCCGTTTATAC
-CGGTGGGGCATTGCGCCACACTAAGGTAATTCCTTATGCTGGCAATGTCGTGACCAGTGATATCGCTTAC
-GCCTTTGGCACGCCGCCAAGCGACGCCGAAGCGATTAAAGTTCGCCACGGTTGTGCGCTGGGTTCCATCG
-TTGGAAAAGATGAGAGCGTGGAAGTGCCGAGCGTAGGTGGTCGTCCGCCACGGAGTCTGCAACGTCAGAC
-ACTGGCAGAGGTGATCGAGCCGCGCTATACCGAGCTGCTCAACCTGGTCAACGAAGAGATATTGCAGTTG
-CAGGAAAAGCTTCGCCAACAAGGGGTTAAACATCACCTGGCGGCAGGCATTGTATTAACCGGTGGCGCAG
-CGCAGATCGAAGGTCTTGCAGCCTGTGCTCAGCGCGTGTTTCATACGCAAGTGCGTATCGGCGCGCCGCT
-GAACATTACCGGTTTAACGGATTATGCTCAGGAGCCGTATTATTCGACGGCGGTGGGATTGCTTCACTAT
-GGGAAAGAGTCACATCTTAACGGTGAAGCTGAAGTAGAAAAACGTGTTACAGCATCAGTTGGCTCGTGGA
-TCAAGCGACTCAATAGTTGGCTGCGAAAAGAGTTTTAATTTTTATGAGGCCGACGATGATTACGGCCTCA
-GGCGACAGGCACAAATCGGAGAGAAACTATGTTTGAACCAATGGAACTTACCAATGACGCGGTGATTAAA
-GTCATCGGCGTCGGCGGCGGCGGCGGTAATGCTGTTGAACACATGGTGCGCGAGCGCATTGAAGGTGTTG
-AATTCTTCGCGGTAAATACCGATGCACAAGCGCTGCGTAAAACAGCGGTTGGACAGACGATTCAAATCGG
-TAGCGGTATCACCAAAGGACTGGGCGCTGGCGCTAATCCAGAAGTTGGCCGCAATGCGGCTGATGAGGAT
-CGCGATGCATTGCGTGCGGCGCTGGAAGGTGCAGACATGGTCTTTATTGCTGCGGGTATGGGTGGTGGTA
-CCGGTACAGGTGCAGCACCAGTCGTCGCTGAAGTGGCAAAAGATTTGGGTATCCTGACCGTTGCTGTCGT
-CACTAAGCCTTTCAACTTTGAAGGCAAGAAGCGTATGGCATTCGCGGAGCAGGGGATCACTGAACTGTCC
-AAGCATGTGGACTCTCTGATCACTATCCCGAACGACAAACTGCTGAAAGTTCTGGGCCGCGGTATCTCCC
-TGCTGGATGCGTTTGGCGCAGCGAACGATGTACTGAAAGGCGCTGTGCAAGGTATCGCTGAACTGATTAC
-TCGTCCGGGTTTGATGAACGTGGACTTTGCAGACGTACGCACCGTAATGTCTGAGATGGGCTACGCAATG
-ATGGGTTCTGGCGTGGCGAGCGGTGAAGACCGTGCGGAAGAAGCTGCTGAAATGGCTATCTCTTCTCCGC
-TGCTGGAAGATATCGACCTGTCTGGCGCGCGCGGCGTGCTGGTTAACATCACGGCGGGCTTCGACCTGCG
-TCTGGATGAGTTCGAAACGGTAGGTAACACCATCCGTGCATTTGCTTCCGACAACGCGACTGTGGTTATC
-GGTACTTCTCTTGACCCGGATATGAATGACGAGCTGCGCGTAACCGTTGTTGCGACAGGTATCGGCATGG
-ACAAACGTCCTGAAATCACTCTGGTGACCAATAAGCAGGTTCAGCAGCCAGTGATGGATCGCTACCAGCA
-GCATGGGATGGCTCCGCTGACCCAGGAGCAGAAGCCGGTTGCTAAAGTCGTGAATGACAATGCGCCGCAA
-ACTGCGAAAGAGCCGGATTATCTGGATATCCCAGCATTCCTGCGTAAGCAAGCTGATTAAGAATTGACTG
-GAATTTGGGTTTCGAGGCTCTTTGTGCTAAACTGGCCCGCCGAATGTATAGTACACTTCGGTTGGATAGG
-TAATTTGGCGAGATAATACGATGATCAAACAAAGGACACTTAAACGTATCGTTCAGGCGACGGGTGTCGG
-TTTACATACCGGCAAGAAAGTCACCCTGACGTTACGCCCTGCGCCGGCCAACACCGGGGTCATCTATCGT
-CGCACCGACTTGAATCCACCGGTAGATTTCCCGGCCGATGCCAAATCTGTGCGTGATACCATGCTCTGTA
-CGTGTCTGGTCAACGAGCATGATGTACGGATTTCAACCGTAGAGCACCTCAATGCTGCTCTCGCGGGCTT
-GGGCATCGATAACATTGTTATCGAAGTTAACGCGCCGGAAATCCCGATCATGGACGGCAGCGCCGCTCCG
-TTTGTATACCTGCTGCTTGACGCCGGTATCGACGAGTTGAACTGCGCCAAAAAATTTGTTCGCATCAAAG
-AGACTGTTCGTGTCGAAGATGGCGATAAGTGGGCTGAATTTAAGCCGTACAATGGTTTTTCGCTGGATTT
-CACCATCGATTTTAACCATCCGGCTATTGATTCCAGCAACCAGCGCTATGCGATGAACTTCTCCGCTGAT
-GCGTTTATGCGCCAGATCAGCCGTGCGCGTACGTTCGGTTTCATGCGTGATATCGAATATCTGCAGTCCC
-GTGGTTTGTGCCTGGGCGGCAGCTTCGATTGTGCCATCGTTGTTGACGATTATCGCGTACTGAACGAAGA
-CGGCCTGCGTTTTGAAGACGAATTTGTGCGTCACAAAATGCTCGATGCGATCGGTGACTTGTTCATGTGT
-GGTCACAATATTATTGGTGCATTTACCGCTTATAAATCCGGTCATGCACTGAATAACAAACTGCTGCAGG
-CTGTCCTGGCGAAACAGGAAGCCTGGGAATATGTGACCTTCCAGGACGACGCAGAACTGCCGTTGGCCTT
-CAAAGCGCCTTCAGCTGTACTGGCATAACGACATTTATACTGTCGTATAAAATTCGACTGGCAAATCTGG
-CACTCTCTCCGGCCAGGTGAACCAGTCGTTTTTTTTTGAATTTTATAAGAGCTATAAAAAACGGTGCGAA
-CGCTGTTTTCTTAAGCACTTTTCCGCACAACTTATCTTCATTCGTGCTGTGGACTGCAGGCTTTAATGAT
-AAGATTTGTGCGCTAAATACGTTTGAATATGATCGGGATGGCAATAACGTGAGTGGAATACTGACGCGCT
-GGCGACAGTTTGGTAAACGCTACTTCTGGCCGCATCTCTTATTAGGGATGGTTGCGGCGAGTTTAGGTTT
-GCCTGCGCTCAGCAACGCCGCCGAACCAAACGCGCCCGCAAAAGCGACAACCCGCAACCACGAGCCTTCA
-GCCAAAGTTAACTTTGGTCAATTGGCCTTGCTGGAAGCGAACACACGCCGCCCGAATTCGAACTATTCCG
-TTGATTACTGGCATCAACATGCCATTCGCACGGTAATCCGTCATCTTTCTTTCGCAATGGCACCGCAAAC
-ACTGCCCGTTGCTGAAGAATCTTTGCCTCTTCAGGCGCAACATCTTGCATTACTGGATACGCTCAGCGCG
-CTGCTGACCCAGGAAGGCACGCCGTCTGAAAAGGGTTATCGCATTGATTATGCGCATTTTACCCCACAAG
-CAAAATTCAGCACGCCCGTCTGGATAAGCCAGGCGCAAGGCATCCGTGCTGGCCCTCAACGCCTCACCTA
-ACAACAATAAACCTTTACTTCATTTTATTAACTCCGCAACGCGGGGCGTTTGAGATTTTATTATGCTAAT
-CAAATTGTTAACTAAAGTTTTCGGTAGTCGTAACGATCGCACCCTGCGCCGGATGCGCAAAGTGGTCAAC
-ATCATCAATGCCATGGAACCGGAGATGGAAAAACTCTCCGACGAAGAACTGAAAGGGAAAACCGCAGAGT
-TTCGTGCACGTCTGGAAAAAGGCGAAGTGCTGGAAAATCTGATCCCGGAAGCTTTCGCCGTGGTACGTGA
-GGCAAGTAAGCGCGTCTTTGGTATGCGTCACTTCGACGTTCAGTTACTCGGCGGTATGGTTCTTAACGAA
-CGCTGCATCGCCGAAATGCGTACCGGTGAAGGAAAAACCCTGACCGCAACGCTGCCTGCTTACCTGAACG
-CACTAACCGGTAAAGGCGTGCACGTAGTTACCGTCAACGACTACCTGGCGCAACGTGACGCCGAAAACAA
-CCGTCCGCTGTTTGAATTCCTTGGCCTGACTGTCGGTATCAACCTGCCGGGCATGCCAGCACCGGCAAAG
-CGCGAAGCTTACGCAGCTGACATCACTTACGGTACGAACAACGAATACGGCTTTGACTACCTGCGCGACA
-ACATGGCGTTCAGCCCTGAAGAACGTGTACAGCGTAAACTGCACTATGCGCTGGTGGACGAAGTGGACTC
-CATCCTGATCGATGAAGCGCGTACACCGCTGATCATTTCCGGCCCGGCAGAAGACAGCTCGGAAATGTAT
-AAACGCGTGAATAAAATTATTCCGCACCTGATCCGTCAGGAAAAAGAAGACTCCGAAACCTTCCAGGGCG
-AAGGCCACTTCTCGGTGGACGAAAAATCTCGCCAGGTGAACCTGACCGAACGTGGTCTGGTGCTGATTGA
-AGAACTGCTGGTGAAAGAGGGCATCATGGATGAAGGGGAGTCTCTGTACTCTCCGGCCAACATCATGCTG
-ATGCACCACGTAACGGCGGCGCTGCGCGCTCATGCGCTGTTTACCCGTGACGTCGACTACATCGTTAAAG
-ATGGTGAAGTTATCATCGTTGACGAACACACCGGTCGTACCATGCAGGGCCGTCGCTGGTCCGATGGTCT
-GCACCAGGCTGTGGAAGCGAAAGAAGGTGTGCAGATCCAGAACGAAAACCAAACGCTGGCTTCGATCACC
-TTCCAGAACTACTTCCGTCTGTATGAAAAACTGGCGGGGATGACCGGTACTGCTGATACCGAAGCTTTCG
-AATTTAGCTCAATCTACAAGCTGGATACCGTCGTTGTTCCGACCAACCGTCCAATGATTCGTAAAGATCT
-GCCGGACCTGGTCTACATGACTGAAGCGGAAAAAATTCAGGCGATCATTGAAGATATCAAAGAACGTACT
-GCGAAAGGCCAGCCGGTGCTGGTGGGTACTATCTCCATCGAAAAATCGGAGCTGGTGTCAAACGAACTGA
-CCAAAGCCGGTATTAAGCACAACGTCCTGAACGCCAAATTCCACGCCAACGAAGCGGCGATTGTTGCTCA
-GGCAGGTTATCCGGCTGCGGTGACTATCGCGACCAATATGGCGGGTCGTGGTACAGATATTGTGCTCGGT
-GGTAGCTGGCAGGCAGAAGTTGCCGCGCTGGAAAATCCGACCGCAGAGCAAATTGAAAAAATTAAAGCCG
-ACTGGCAGGTACGTCACGATGCGGTACTGGAAGCAGGTGGCCTGCATATCATCGGTACCGAGCGTCACGA
-ATCCCGTCGTATCGATAACCAGTTGCGCGGTCGTTCTGGTCGTCAGGGGGATGCTGGTTCTTCCCGTTTC
-TACCTGTCGATGGAAGATGCGCTGATGCGTATTTTTGCTTCCGACCGAGTATCCGGCATGATGCGTAAAC
-TGGGTATGAAGCCAGGCGAAGCCATTGAACACCCGTGGGTGACTAAAGCGATTGCCAACGCCCAGCGTAA
-AGTTGAAAGCCGTAACTTCGACATTCGTAAGCAACTGCTGGAATATGATGACGTGGCTAACGATCAGCGT
-CGCGCCATTTACTCCCAGCGTAACGAACTGTTGGATGTCAGCGATGTGAGCGAAACCATTAACAGCATTC
-GTGAAGATGTGTTCAAAGCGACCATTGATGCCTACATTCCACCACAGTCGCTGGAAGAAATGTGGGATAT
-TCCGGGGCTGCAGGAACGTCTGAAGAACGATTTCGACCTCGATTTGCCAATTGCCGAGTGGCTGGATAAA
-GAACCAGAACTGCATGAAGAGACGCTGCGTGAGCGCATTCTGGCGCAGTCCATCGAAGTGTATCAGCGTA
-AAGAAGAAGTGGTTGGTGCTGAGATGATGCGTCACTTCGAGAAAGGCGTCATGCTGCAAACGCTTGACTC
-CCTGTGGAAAGAGCACCTGGCAGCGATGGACTATCTGCGTCAGGGTATCCACCTGCGTGGCTACGCACAG
-AAAGATCCGAAGCAGGAATACAAACGTGAATCGTTCTCCATGTTTGCAGCGATGCTGGAGTCGTTGAAAT
-ATGAAGTTATCAGTACGCTGAGCAAAGTTCAGGTACGTATGCCTGAAGAGGTTGAGGAGCTGGAACAACA
-GCGTCGTATGGAAGCCGAGCGTTTAGCGCAAATGCAGCAGCTTAGCCATCAGGATGACGACTCTGCAGCC
-GCAGCTGCACTGGCGGCGCAAACCGGAGAGCGCAAAGTAGGACGTAACGATCCTTGCCCGTGCGGTTCTG
-GTAAAAAATACAAGCAGTGCCATGGCCGCCTGCAATAAAAGCTAACTGTTGAAGTAAAAGGCGCAGGATT
-CTGCGCCTTTTTTATAGGTTTAAGACAATGAAAAAGCTGCAAATTGCGGTAGGTATTATTCGCAACGAGA
-ACAATGAAATCTTTATAACGCGTCGCGCAGCAGATGCGCACATGGCGAATAAACTGGAGTTTCCCGGCGG
-TAAAATTGAAATGGGTGAAACGCCGGAACAGGCGGTGGTGCGTGAACTTCAGGAAGAAGTCGGGATTACC
-CCCCAACATTTTTCGCTATTTGAAAAACTGGAATATGAATTCCCGGACAGGCATATAACACTGTGGTTTT
-GGCTGGTCGAACGCTGGGAAGGGGAGCCGTGGGGTAAAGAAGGGCAACCCGGTGAGTGGATGTCGCTGGT
-CGGTCTTAATGCCGATGATTTTCCGCCAGCCAATGAACCGGTAATTGCGAAGCTTAAACGTCTGTAGGTC
-AGATAAGGCGTTTTCGCCGCATCCGACATTCGCACACGATGCCTGATGCGACGCTGGCGCGTCTTATCAG
-GCCTAAAGGGATTTCTAACTCATTGATAAATTTGTTTTTGTAGGTCGGATAAGGCGTTCACGCCGCATCC
-GACATTTGCACAAGATGCCTGATGCGACGCTGTCCGCGTCTTATCAGGCCTACGTGCGGCATCAGACAAA
-TGTCACTGCTTTGGTTCTTCGCTCCAGTCATCGCTTTCGGAAAGATCGCCACTGCTGGGGATTCGTTTTT
-CTTCAGCAGCCCATTCTCCGAGGTCGATCAGCTGACAACGTTTGGAGCAAAATGGCCGAAACGGGCTGAT
-TTCACCCCACACCACCGTTTTCCCGCAGGTTGGGCAATTCACCGTAATAGTTTCTGACATTTTTACTCCT
-TAGCAACAGGCCAGTTCGAAATCCAGACGTTCCGGTACCTGTCCGTTTTCAGTGTCCAGCGGCATAAAAC
-GAATGGCAAAACGGCTCTTATGTCCGGAAATTTGCGGATAAAGCTGTGAATCGAGCGACAGATTCAGGCG
-CAGCAAGTCGGCATCGCCACCGTTATCCTGATAAAAACCATTCAGGCTGGTTTGTTTACGGAAGGGGGCC
-GACTGGCGAATTAAATCCAGCACCATGGTAAGTGCCTGGGTGAGCGGGTTCAGGCTGGCAATCCAGGTTT
-CTACCTGGCTGTCGCGCTGCGCCTGGGGTAGATGCAGCCAAATGTGCAATGTAGGTAAATCAAAGCTGCA
-ACAGCCGCCTGGGATGCTCAGTCGCTGACGCACCAGAGCAATCAAACGATCTTCACGCAGAAATTGCCCG
-ATACGCGGCGCGGAAATTAATACGCTCCCCGCCGCTTTTAACTGCTGAATTAATGCTTCAATACGGCTCT
-GGTCCACGCCAGGCACGCCAATCCAGGTCTGGAGTTTACGTTGCTGCCGGTCAAGTTCTTTCAACAGCTC
-AGTGCGGACTTCGCCGCGCTCGAAAACATCCAGTAATTCACTGACATTACGGAAGAAATGCAGCGCGCCA
-GCGTGGTCAACGATGGGTAAATTAACGGTGAGTTGCTGAATCAAAAACTCAATGCGCAGCCATGTACGCA
-TTTTTTCATTTAGTGGATGTTCAAAAAGGACCTGGGTCTGCATTACGGTTTTTCCTGTGAGACAAACTGC
-GACGCAAGCTGCAAATAGTGTGCGTGCAGGCGGGCAACATCCGATGCGATAGCATCCGGTGCGCCGTTAT
-TATCAATGACGTCATCTGCCACGGCAAGGCGGGCTTCGCGCGTTGCCTGAGCAGCAAGGATTTGTTCGAC
-ATGCTCGCGAGTTACATCATCGCGCTGCATGGTGCGCTTAAGTTGCGTTTCTGGGCTGACATCCACCACC
-AGCACTCGATTCGCTTTTTTATACAGTGAGTTTTCTACCAGCAATGGCACAACCCACAGTACATAGGGGG
-AAGTAGCTTGCTGGATCTGGTGTTGCGTCTCTTGCTGAATCAGCGGATGCAGCAGGGCGTTAAGCCAGTT
-TTTCTCTTCCGGGTTGGCGAAGATCCGCTCGCGCAAGGCCCGGCGCTGCAATGTTCCATCAGCAGCAATC
-ATGTTAGCGCCAAAGTGATCAGCAATGGCATGTAGCGCAGGTGCACCTGGTTCAACCACCTGACGCGCAA
-TAATATCGGCATCAATGACGTTAATTCCGAGATCAGCAAACGCATTGGCAACGGTACTCTTGCCACTGCC
-AATGCCTCCCGTTAAGGCAACTATATACCTCATAATTTATATTCCCGGGAATTCATCATGATTATCAAAA
-CGTTAAAAATGAGTGCACGAAAGCGAAATTGATGAAACGTTCGCTCACTATTTACCAGGTAAATTTATGG
-GATTGTAGCGTAAAAAAAGACAATTTCGCAGTCTTGCGCCGCATTGATTAGTGCGTATGATAGCGTCACT
-GGAGTTGCGCTCTTACCCTTATAGCCATTAACCCCAGGAATCCGCACATGCGTATTGAAGAAGATCTGAA
-GTTAGGTTTTAAAGACGTTCTCATCCGCCCTAAACGCTCCACTCTTAAAAGCCGTTCCGATGTTGAACTG
-GAACGTCAATTCACCTTCAAACATTCAGGTCAGAGCTGGTCCGGCGTGCCGATTATCGCCGCAAATATGG
-ACACCGTAGGCACATTTTCTATGGCCTCTGCGCTGGCTTCTTTTGATATTTTGACTGCTGTGCATAAACA
-CTATTCTGTCGAAGAGTGGCAAGCGTTTATCAACAATTCTTCCGCTGATGTGCTGAAACATGTGATGGTT
-TCTACCGGTACGTCTGATGCGGATTTCGAAAAAACTAAACAGATTCTCGACCTGAACCCGGCATTAAACT
-TCGTTTGTATTGACGTGGCGAATGGTTATTCCGAACACTTCGTGCAGTTCGTTGCGAAAGCGCGTGAAGC
-GTGGCCGACCAAAACCATTTGTGCTGGTAACGTAGTGACTGGTGAAATGTGTGAGGAGCTTATCCTCTCA
-GGTGCCGATATCGTTAAAGTTGGCATTGGCCCAGGTTCTGTTTGTACAACTCGCGTCAAAACAGGCGTCG
-GTTATCCGCAACTTTCTGCGGTAATCGAATGTGCCGATGCTGCGCACGGTCTGGGCGGAATGATCGTCAG
-CGATGGTGGCTGCACCACGCCGGGCGATGTGGCGAAAGCCTTTGGCGGCGGTGCCGATTTCGTCATGCTT
-GGCGGCATGCTGGCGGGCCACGAAGAGAGCGGCGGTCGCATCGTTGAGGAGAACGGCGAGAAATTTATGC
-TGTTCTACGGCATGAGCTCCGAGTCTGCGATGAAACGTCACGTTGGCGGCGTTGCGGAATATCGCGCAGC
-AGAAGGTAAAACCGTTAAGCTGCCGCTGCGAGGCCCGATTGAAAATACCGCGCGAGATATTTTGGGCGGC
-CTGCGTTCAGCTTGTACATACGTTGGGGCTTCACGCCTGAAAGAGCTGACCAAGCGCACCACGTTTATTC
-GTGTGCAGGAACAAGAAAACCGCATCTTCAACAACCTGTAATCTCCCAACGCTGGCGTGGAGCAACACGC
-CAGCGTTATCCCATCCCACTCATCGCATCGCCTAAATGGAAAATTGGCAGATACATTGCCACCACCAGCG
-TACCAATAATTCCTCCCGTTATGATCAGCAACGCCGGTTCCAGTAAGGCTGCGAGGTTATCCGCCAGCGC
-CATTGTGTTTTCCCGATGATGATGGGCGAGGTTGTCTAACATGAGATCCAGAGAGCCGGATGCCTCTCCT
-GTTCTCACTAATTGCAAACAGAGCGGGCTAAACTCACCGGTATTTTTTAGCGCCAGCCAGATGGGTTGAC
-CGTTACTGATATCGTGCTGGATTTGTGTCAGAAGTTGCACCCAGTACGGGCAGCGCATTGTTTCTCTGAC
-GCTCTCTACGCCCTGTAAAAAAGTAATGCCTGCACTTTGTGTCAGCGCCAGAATCGTAAAGATCTGCGTG
-AGTTTTTGTCCCCGCATCAGTGAACCCATAATCGGGATGCGTAACAGCAATTTCTGCCGCACTATAAGCC
-AGGTCGGTCGGCGCATCAGCAACTTATTGGCTATCGCCAGCAGAAAGCCGAACAACACCAGCAGCCAGCT
-CCATTCGCCACTAAAGTCTGCCAGCGTCATGATCCCCTGCGTTAGTGCCGGTAGTGGGGTGTTGAAGGTC
-TTATAGATAGCGGCAAACTCCGGCAGAACAAAATGCAGCATTGCCACAACCACCATGATTGCCATCGCTA
-AAATGATGATGGGATAACGTAACGCTGATTTCACTTTGTCGGTCAACTGACGCTGGGCTTTTTGCTGACG
-CGCCAGTTCAAAGCAGCATTCATCCAGCTTACCGGTCAGTTCACCCGTGCGGATCATCGCCTGATAGAGC
-GGCGGAAATACCTCTGACCAGGGTAATAAGGCATTGGAAAAAGCAATGCCCTGTTCGAGATCGTGCGCCA
-GCGATTGCAGCAACGCTTGCCATTGCTTACTGGGATGCTGTTCCGCCAGCAGAGCCAGCCCTTCAGAAAG
-TGTTAACCCTGCTTTGAGTAGCGTCGCCAGTTGATGAATGACTTCCGCGCTTTTATCTCCTCGCCACTGC
-GCAGAATTGATGGCGATTCGCTTCAGGCTTAGTGGGGTAACCATCTGTTGCTGTAGTGCCATAAGCAGTA
-AAGTACGGCTCTCTGCCCATAGCATCCCATCTTGCGCATTGCCGTCGCCGGTTATGCCATGCCAGCGCCA
-GAGTTGCTTACTCGCCATGCGGCATCCCCAGTACGCGGATTAACTCTTCAAAGGTGGTTAAGCCTTGCTC
-TACGGCCAGGCAGCCGTTTTCAAAAAGCGTACGCATACCCGCCTGTCGTGCGTGCGTTTCCAGCGATTCA
-ACGTCGGTATTAGCGGAAATAAGCTGACGAATGACCGGCGTTATGGGCAGAACTTCAAATAAGGCCGTAC
-GACCATAAAAACCGTGGTAGCAATGTACACAACCGGGTGCCTGCCAGTGGGGCAGCGGCGATGGCCATAC
-ATTGTCTGGAATGTGGATGGGCTCCCCTTGCTGCCGGCGACAATGTGGGCAAAGTTTGCGTACCAGACGC
-TGGGCTATTACCAGCGTAAGCGCCGATGATAGCATCCAGCGGGCGACCCCCATTTGCTGTAAACGTACCA
-GCGTTTCGCAGGTGGAATTAGTGTGTAGGGTAGACAACACCAGGTGACCAGTTTGCGCCGCTTTAATAGC
-GATCTCTGCTGTTTCGCCATCGCGGATCTCTCCGATCATGATGACGTCAGGATCCTGGCGCAATAACGCA
-CGCAAAACGCCCTGAAAGGTGAGTCCGGCACGCGGATGGATTTGCGTCTGGTTTAGTCCGGCTATGGGGA
-TCTCAACTGGATCTTCGACGCTACAAATATTAATGTCAGCGGTATTCAGCTTTTGCAGGGCACTATAAAG
-CGTGACCGTTTTGCCGCTGCCGGTAGGGCCAGTTACCAGCACCAGTCCCTGTGGTTGTTGCAAGGCATGA
-GCAAAGTCCGCCAGTTGTAACGGCTGCATTCCAAGCGTGTTGACATCCAGTGCCTGACCCACCTGCTGTA
-ACAACCTTAATACCACCTTTTCACCACCCCGACATGGTAAGGTCGCAATACGAAATGAGACGGCGTTTCC
-TGCCAGTTCGACAGTGAATTGCCCGTCCTGCGGCAGGCGATGTTCCGCAATATCCAGGTTTCCCAGCACT
-TTTAATCTGGCGGTTAATGCGACTCCGGCATCCGGTGAAACATCCGGTAAAGGATGCAATACGCCGTCGA
-TACGCAAGCGGATGCGGTAGGCATTGTCCGCTGGTTCGATATGAATATCAGACGCGCGTTGTTCCAGCGC
-AGATTGTAACGTTCGAGTTAGCAACTCTGCTTTGGGCTGATGCTTCTCCTGAACAGCTACGGGCAATGTC
-TGTTGTGTGCGACTGGCGTGACCTTCCATTTGTTGGCGCGTCCAGCAGGTGATCTCAATACGTTTGGTGG
-TAGCGAAATGCAATGCGTCCAGTAGCTCATGCGAAGGTGCATCGACTACCGCAACATGAACCACCTCTTC
-GCTGGCATCCAGCAAGACTCCATGATAACGCAGACACAGGGCAGTGAGCTGTGGAATATTCATTGCCGCT
-CCTTAGTTGGCGTCATCAAAGCGGAAGACATCTTCGCAGGCTTGCTGCAATGCGCTGTCACTTTGAATAT
-TGCAGTTGCGCGTCCAGCCGGTGACGCCGTTTGCGTTATCCCAACCCGGTGTCATGACGACGCTTAGCCC
-ATTGAGACTTTCTTGCCCGGTCAGCGACACCACGCCCTTTGCCACACTCATGGCTGAAACATAGCGGGTG
-GTGGTAGGCGAGGGAATGCCATTGCTGCCACCGTCGCAGGTATCTAATCCACCATGTTCCAGCGCGCACA
-ACTCTACGGCGGTACGGTAAGGCACAAAGGTTTGTAGCATGTCGGTGAGTGCGGCTTTGCGCAGGTAGTT
-TTGATAAGCGGGAATACCAATGGCGCTTAAAATGGCAATGATGCCAATAACCACCATCAGTTCGATAAGT
-GTAAAACCGCGTTGCTTGTCCATCTGTTTCGCTCCTTGATTTGGTTGGCGCTACTTTGGCAAACGCCATC
-AGCACAGGCGAGGGGCAAAAAACGAAACGGGAAAGCAGATTCCGAGGTTTTTTATTTCGTTGCAGCGAAA
-GACAAGAAATTTGCGAGGCGTTACGAAGAAAGTTGGGGAAGGGGAGATTATCCGCCCGCGATGGAGCGGA
-TAAATCTGTCAACTATTAGCGAAAACGCATTGAAAGGTCGAGTGCTTGTACGTGTTTAGTTAGCGCACCG
-ACGGAGATAAAGTCCACGCCCGTTTCGGCAAATTCACGCAGTGTTTTGTCAGTGACGTTGCCAGACACTT
-CCAGTAGCGCCTTGCCGTTGGTGCGTTTGACGGCTTCGCGCATCTGTTCTGTTTCGAAGTTATCCAGCAT
-GATGATATCGGCTCCTGCTTTCAGGGCTTCATCAAGTTCTTCCAGATTCTCTACTTCGACTTCTACTGGC
-GCATCCGGGTGCAGCCAGGACGCTTTTTCGACCGCCTGGCGCACTGAGCCGGAGGCAATAATATGGTTTT
-CTTTGATCAGGAAGGCATCAGAAAGCCCCAGACGGTGATTCGCTCCGCCGCCGCAAAGTACCGCGTATTT
-CAGAGCTGAACGCAGGCCGGGTAAGGTTTTGCGCGTATCCAACAACTGCGTGTTGGTGCCTTCCAGCAAT
-TCGACATAGTGGCGTACCTTACTGGCAACTCCTGAAAGGGTTTGCACAAAATTAAGCGCAGTGCGTTCGC
-CCGTTAACAGCACGCGGGATGGGCCTTCAAGTTCGAACAAGGATTGATTGGCATTGATGACATCGCCGTC
-ATCCACATGCCAGATTATGGTGACATCGTCGCCTGCCAGTTGAATAAACACCTCTTCAACCCAGCGTTTG
-CCGCAAAAGACGCCATTCTCGCGGGTGATCACCGTGGCATGAGAGCGAGAATTTTCCGGTAAAAGTTTTG
-CCGTAATATCATTGTTGGCATCGACTGTTCCGCCTAAATCTTCCCGCAGCGCCTGGGCCACCGCGCCGGG
-GATATCGAGATTAATGCGTTCCAGCAGCTCGTCACGTCGGGTGTCAGGGTTATAGCGGCGAGGCGGCATG
-TTAAAACTCCAGATAGCTAACGAATCATAAGGTAGAAACATGCTACTCTGAACCGGGTATTAGCACCACA
-TATAAGGAGATCCTGCATGTTGTTAGAACAGGGGTGGCTGGTTGGCGCGCGCCGCGTTCCCTCACCACAT
-TACGATTGCCGCCCGGATGACGAAACACCCACCCTGCTGGTGGTGCACAATATTAGCCTGCCGCCAGGCG
-AGTTTGGCGGTCCGTGGATCGACGCATTATTCACTGGAACTATTGATCCGCAGGCACATCCTTTCTTTGC
-TGAGATCGCCCATTTGCGCGTCTCCGCTCACTGTTTGATTCGCCGTGATGGTGAAATAGTCCAGTATGTT
-CCTTTCGATAAACGTGCATGGCATGCGGGAGTCTCTCAGTATCAGGGGCGCGAACGCTGCAATGATTTTT
-CTATTGGGATTGAGCTTGAAGGCACCGATACGCTGGCGTATACCGATGCGCAGTATCAACAGCTTGCGGC
-GGTTACGCGGGCACTGATTGATTGCTATCCGGATATCGCTAAAAACATGACGGGCCATTGTGATATTGCG
-CCGGATCGGAAAACCGATCCCGGTCCTGCATTTGATTGGGCACGGTTTCGTGTGCTGGTCAGCAAGGAGA
-CAACATGACGCTATTTACAACCTTACTGGTGTTAATTTTCGAGCGCCTGTTTAAGTTGGGCGAGCACTGG
-CAGCTTGATCATCGTCTTGAAGCGTTCTTTCGGCGGGTGAAACATTTTTCTCTCGGGCGCACGTTAGGCA
-TGACCATTATTGCGATGGGCGTGACTTTTTTACTGTTACGCGCATTGCAGGGAGTATTGTTCAACGTTCC
-CACGCTACTGGTGTGGCTGTTGATTGGTTTGCTGTGTATTGGCGCAGGTAAAGTTCGTCTTCATTATCAT
-GCTTATCTGACAGCTGCTTCACGTAATGATAGCCATGCCCGTGCCACGATGGCTGGCGAACTCACCATGA
-TTCACGGCGTCCCGGCAGGCTGCGACGAACGTGAGTATTTGCGTGAGCTGCAAAATGCATTGCTGTGGAT
-TAACTTTCGTTTTTATCTTGCACCGCTGTTCTGGCTGATTGTGGGGGGAACCTGGGGACCCGTTACGCTG
-ATGGGGTATGCGTTTTTGCGTGCATGGCAATACTGGCTGGCGCGATATCAGACGCCGCATCATCGTTTAC
-AGTCCGGCATTGATGCCGTGCTTCATGTACTGGATTGGGTGCCGGTTCGTCTTGCGGGTGTGGTATATGC
-CTTGATCGGTCATGGTGAGAAAGCGTTACCGGCCTGGTTTGCTTCGCTGGGTGATTTCCATACTTCGCAG
-TATCAGGTGTTAACGCGTCTGGCGCAGTTCTCTCTGGCGCGTGAACCGCATGTCGATAAGGTGGAGACGC
-CGAAGGCAGCGGTTTCAATGGCGAAGAAAACCTCGTTCGTGGTCGTGGTGGTGATTGCACTACTGACGAT
-TTACGGGGCGTTGGTGTAAAGATTATTGCCCTCACCCTGTACGGGTGAGGGCGTAGAGAGATTAATGCGC
-TTTTACGGCTTTGGCGGTTTTCTCTTTAAACAGATAGCCGATACCTAACACGATCAGCCATACCGGGATC
-AGGTATACCGAAATCGCCATTCCTGGGGTCATCAGCATAATCACCAGTACCGCCGCCATAAACAGCAGGC
-AGATCCAGTTACCCAGCGGATAAAGCAGAGCAGGGAAGCGAGTTACCACGCCTTGTTCCTGCTTGGCGCG
-ACGGAATTTCATATGCGCCAGGCTAATCATCGCCCAGTTGATTACCAGTGCAGATACCACCAGCGCCATT
-AACAGTCCGAAAGCGGACTCTGGGGCAAGGTAGTTAATCAGTACGCACAACGCCGTTACCAGTGCAGACA
-CCAGAATGGTATTTACTGGTACACCACGTTTATCGACAGACGCCAGCGCTTTTGGCGCATTACCCTGTTG
-TGCCAGACCAAACAGCATACGGCTGTTGCAATATACGCAGCTGTTGTACACGGAGAGCGCCGCAGTCAGT
-ACCACGATGTTCAGCGCATTCGCCACAAAGGTATCGCCTAACTCGTGGAAGATCAGCACAAACGGACTGG
-TATCGGCGGTAACGCGGGTCCACGGCATCAGTGAGAGCAGAACGGCTAACGAACCAATATAGAAAATCAG
-GATGCGGTAGATAACCTGGTTAGTTGCTTTCGGTATACTTTGCTCCGGGTTATCAGCTTCTGCTGCGGTG
-ATCCCCACCAGTTCCAGACCACCGAACGAGAACATGATAATCGCCATCATCATCACCAGCCCGGTGAAGC
-CGTGCGGCAGGAAACCACCCTGATCCCACAGGTTGCTAACGGTCGCCTGCGGGCCGCCGTTGCCACTGAA
-TAGCAGCCAGCCGCCGAAGATGATCATCGCTACCACCGCGATAACTTTGATAATGGCAAACCAGAACTCC
-ATCTCGCCAAACACTTTAACGTTGGTCAGGTTGATGGCGTTAATCACCACAAAGAATACGGCGGCAGAAA
-CCCAGGTGGGGATTTCCGGATACCAGAACTGAATGTATTTACCCACGGCAGTCAGCTCAGCCATGGCAAC
-TAAAACGTACAGTACCCAGTAGTTCCAGCCAGAGGCGAAACCGGCAAAACTGCCCCAGTATTTATAAGCA
-AAGTGGCTAAAGGAGCCTGCGACAGGTTCTTCGACCACCATTTCACCCAGCTGACGCATGATCAGAAAGG
-CGATAAAACCAGCAATGGCGTAACCCAGGATAATCCCTGGCCCTGCGGACTGTATTACGGAGGCGCTACC
-CAGGAATAACCCGGTCCCTATCGCGCCACCCAGCGCGATAAGCTGAATATGGCGGTTTTTAAGGCCGCGC
-TTTAGCTGCTCGCCGTGCTGTTGACCTTCCATCATGAAACCTCGTGCGGTGGTTGTTTTTTTGATCTACG
-CAGTGATGCGTGTGTAAGTTTGCAATTCCGTTTGTTGTATTAATTTGTTTACATCAAAGAAGTTTGAATT
-GTTACAAAAAGACTTCCGTCAGATCAAGAATAATGGTATGCGGCAGCGAATGCACCCGCTTTATGCATGG
-TTGAAGATGAGTTGCTTAAAAAGAAACCGTTTGTAAAGCTCAGCCTCAACCCCTCTCAATATGTAGAATG
-AATTTAAATTCGTTTTAATTGAATTAAAAATCAAAAAATTGGTAAGTGAATCGGTTCAATTCGGATTTTT
-ATAGTTTAATAATCGTTAAAAAACTCCTTTCCTACGTAAAGTCTACATTTGTGCATAGTTACAACTTTGA
-AACGTTATATATGTCAAGTTGTTAAAATGTGCACAGTTTCATGATTTCAATCAAAACCTGTATGGACATA
-AGGTGAATACTTTGTTACTTTAGCGTCACAGACATGAAATTGGTAAGACCAATTGACTTCGGCAAGTGGC
-TTAAGACAGGAACTCATGGCCTACAGCAAAATCCGCCAACCAAAACTCTCCGATGTGATTGAGCAGCAAC
-TGGAGTTTTTGATCCTCGAAGGCACTCTCCGCCCGGGCGAAAAACTCCCACCGGAACGCGAACTGGCAAA
-ACAGTTTGACGTCTCCCGTCCCTCCTTGCGTGAGGCGATTCAACGTCTCGAAGCGAAGGGCTTGTTGCTT
-CGTCGCCAGGGTGGCGGCACTTTTGTCCAGAGCAGCCTATGGCAAAGCTTCAGCGATCCGCTGGTGGAGC
-TGCTCTCCGACCATCCTGAGTCACAGTATGACTTGCTCGAAACACGACACGCCCTGGAAGGTATCGCCGC
-TTATTACGCCGCGCTGCGTAGTACCGATGAAGACAAGGAACGCATCCGTGAACTCCACCACGCCATAGAG
-CTGGCGCAGCAGTCTGGCGATCTGGACGCGGAATCAAACGCCGTACTCCAGTATCAGATTGCCGTCACCG
-AAGCGGCCCACAATGTGGTTCTGCTTCATCTGCTAAGGTGTATGGAGCCGATGTTGGCCCAGAATGTCCG
-CCAGAACTTCGAATTGCTCTATTCGCGTCGCGAGATGCTGCCGCTGGTGAGTAGTCACCGCACCCGCATA
-TTTGAAGCGATTATGGCCGGTAAGCCGGAAGAAGCGCGCGAAGCATCGCATCGCCATCTGGCCTTTATCG
-AAGAAATTTTGCTCGACAGAAGTCGTGAAGAGAGCCGCCGTGAGCGTTCTCTGCGTCGTCTGGAGCAACG
-AAAGAATTAGTGATTTTTCTGGTAAAAATTATCCAGAAGATGTTGTAAATCAAGCGCATATAAAAGCGCG
-GCAACTAAACGTAGAACCTGTCTTATTGAGCTTTCCGGCGAGAGTTCAATGGGACAGGTTCCAGAAAACT
-CAACGTTATTAGATAGATAAGGAATAACCCATGTCAGAACGTTTCCCAAATGACGTGGATCCGATCGAAA
-CTCGCGACTGGCTCCAGGCGATCGAATCGGTCATCCGTGAAGAAGGTGTTGAGCGTGCTCAGTATCTGAT
-CGACCAACTGCTTGCTGAAGCCCGCAAAGGCGGTGTAAACGTAGCCGCAGGCACAGGTATCAGCAACTAC
-ATCAACACCATCCCCGTTGAAGAACAACCGGAGTATCCGGGTAATCTGGAACTGGAACGCCGTATTCGTT
-CAGCTATCCGCTGGAACGCCATCATGACGGTGCTGCGTGCGTCGAAAAAAGACCTCGAACTGGGCGGCCA
-TATGGCGTCCTTCCAGTCTTCCGCAACCATTTATGATGTGTGCTTTAACCACTTCTTCCGTGCACGCAAC
-GAGCAGGATGGCGGCGACCTGGTTTACTTCCAGGGCCACATCTCCCCGGGCGTGTACGCTCGTGCTTTCC
-TGGAAGGTCGTCTGACTCAGGAGCAGCTGGATAACTTCCGTCAGGAAGTTCACGGCAATGGCCTCTCTTC
-CTATCCGCACCCGAAACTGATGCCGGAATTCTGGCAGTTCCCGACCGTATCTATGGGTCTGGGGCCGATT
-GGTGCTATTTACCAGGCTAAATTCCTGAAATATCTGGAACACCGTGGCCTGAAAGATACCTCTAAACAGA
-CCGTTTACGCGTTCCTCGGCGACGGTGAAATGGACGAACCGGAATCCAAAGGTGCGATCACCATCGCTAC
-CCGTGAAAAACTGGATAACCTGGTCTTCGTTATCAACTGTAACCTGCAGCGTCTTGACGGCCCGGTCACC
-GGTAACGGCAAGATCATCAACGAACTGGAAGGCATCTTCGAAGGTGCTGGCTGGAACGTGATCAAAGTGA
-TGTGGGGTAGCCGTTGGGATGAACTGCTGCGTAAAGATACCAGCGGTAAACTGATCCAGCTGATGAACGA
-AACCGTTGACGGCGACTACCAGACCTTCAAATCGAAAGATGGTGCGTACGTTCGTGAACACTTCTTCGGT
-AAATATCCTGAAACCGCAGCACTGGTTGCAGACTGGACTGACGAGCAGATCTGGGCACTGAACCGTGGTG
-GTCACGATCCGAAGAAAATCTACGCTGCATTCAAGAAAGCGCAGGAAACCAAAGGCAAAGCGACAGTAAT
-CCTTGCTCATACCATTAAAGGTTACGGCATGGGCGACGCGGCTGAAGGTAAAAACATCGCGCACCAGGTT
-AAGAAAATGAACATGGACGGCGTGCGTCACATCCGCGACCGTTTCAATGTGCCGGTGTCTGATACAGATA
-TCGAAAAACTGCCGTACATCACCTTCCCGGAAGGTTCTGAAGAGCATACCTATCTGCACGCTCAGCGTCA
-GAAACTGCACGGTTATCTGCCAAGCCGTCAGCCGAACTTCACCGAGAAGCTTGAGCTGCCGAGCCTGCAA
-GACTTCGGCGCGCTGTTGGAAGAGCAGAGCAAAGAGATCTCTACCACTATCGCTTTCGTTCGTGCTCTGA
-ACGTGATGCTGAAGAACAAGTCGATCAAAGATCGTCTGGTACCGATCATCGCCGACGAAGCGCGTACTTT
-CGGTATGGAAGGTCTGTTCCGTCAGATTGGTATTTACAGCCCGAACGGTCAGCAGTACACCCCGCAGGAC
-CGCGAGCAGGTTGCTTACTATAAAGAAGACGAGAAAGGTCAGATTCTGCAGGAAGGGATCAACGAGCTGG
-GCGCAGGTTGTTCCTGGCTGGCAGCGGCGACCTCTTACAGCACCAACAATCTGCCGATGATCCCGTTCTA
-CATCTATTACTCGATGTTCGGCTTCCAGCGTATTGGCGATCTGTGCTGGGCGGCTGGCGACCAGCAAGCG
-CGTGGCTTCCTGATCGGCGGTACTTCCGGTCGTACCACCCTGAACGGCGAAGGTCTGCAGCACGAAGATG
-GTCACAGCCACATTCAGTCGCTGACTATCCCGAACTGTATCTCTTACGACCCGGCTTACGCTTACGAAGT
-TGCTGTCATCATGCATGACGGTCTGGAGCGTATGTACGGTGAAAAACAAGAGAACGTTTACTACTACATC
-ACTACGCTGAACGAAAACTACCACATGCCGGCAATGCCGGAAGGTGCTGAGGAAGGTATCCGTAAAGGTA
-TCTACAAACTCGAAACTATTGAAGGTAGCAAAGGTAAAGTTCAGCTGCTCGGCTCCGGTTCTATCCTGCG
-TCACGTCCGTGAAGCAGCTGAGATCCTGGCGAAAGATTACGGCGTAGGTTCTGACGTTTATAGCGTGACC
-TCCTTCACCGAGCTGGCGCGTGATGGTCAGGATTGTGAACGCTGGAACATGCTGCACCCGCTGGAAACTC
-CGCGCGTTCCGTATATCGCTCAGGTGATGAACGACGCTCCGGCAGTGGCATCTACCGACTATATGAAACT
-GTTCGCTGAGCAGGTCCGTACTTACGTACCGGCTGACGACTACCGCGTACTGGGTACTGATGGCTTCGGT
-CGTTCCGACAGCCGTGAGAACCTGCGTCACCACTTCGAAGTTGATGCTTCTTATGTCGTGGTTGCGGCGC
-TGGGCGAACTGGCTAAACGTGGCGAAATCGATAAGAAAGTGGTTGCTGACGCAATCGCCAAATTCAACAT
-CGATGCAGATAAAGTTAACCCGCGTCTGGCGTAAGAGGTAAAAGAATAATGGCTATCGAAATCAAAGTAC
-CGGACATCGGGGCTGATGAAGTTGAAATCACCGAGATCCTGGTCAAAGTGGGCGACAAAGTTGAAGCCGA
-ACAGTCGCTGATCACCGTAGAAGGCGACAAAGCCTCTATGGAAGTTCCGTCTCCGCAGGCGGGTATCGTT
-AAAGAGATCAAAGTCTCTGTTGGCGATAAAACCCAGACCGGCGCACTGATTATGATTTTCGATTCCGCCG
-ACGGTGCAGCAGACGCTGCACCTGCTCAGGCAGAAGAGAAGAAAGAAGCAGCTCCGGCAGCAGCACCAGC
-GGCTGCGGCGGCAAAAGACGTTAACGTTCCGGATATCGGCAGCGACGAAGTTGAAGTGACCGAAATCCTG
-GTGAAAGTTGGCGATAAAGTTGAAGCTGAACAGTCGCTGATCACCGTAGAAGGCGACAAGGCTTCTATGG
-AAGTTCCGGCTCCGTTTGCTGGCACCGTGAAAGAGATCAAAGTGAACGTGGGTGACAAAGTGTCTACCGG
-CTCGCTGATTATGGTCTTCGAAGTCGCGGGTGAAGCAGGCGCGGCAGCTCCGGCCGCTAAACAGGAAGCA
-GCTCCGGCAGCGGCCCCTGCACCAGCGGCTGGCGTGAAAGAAGTTAACGTTCCGGATATCGGCGGTGACG
-AAGTTGAAGTGACTGAAGTGATGGTGAAAGTGGGCGACAAAGTTGCCGCTGAACAGTCACTGATCACCGT
-AGAAGGCGACAAAGCTTCTATGGAAGTTCCGGCGCCGTTTGCAGGCGTCGTGAAGGAACTGAAAGTCAAC
-GTTGGCGATAAAGTGAAAACTGGCTCGCTGATTATGATCTTCGAAGTTGAAGGCGCAGCGCCTGCGGCAG
-CTCCTGCGAAACAGGAAGCGGCAGCGCCGGCACCGGCAGCAAAAGCTGAAGCCCCGGCAGCAGCACCAGC
-TGCGAAAGCGGAAGGCAAATCTGAATTTGCTGAAAACGACGCTTATGTTCACGCGACTCCGCTGATCCGC
-CGTCTGGCACGCGAGTTTGGTGTTAACCTTGCGAAAGTGAAGGGCACTGGCCGTAAAGGTCGTATCCTGC
-GCGAAGACGTTCAGGCTTACGTGAAAGAAGCTATCAAACGTGCAGAAGCAGCTCCGGCAGCGACTGGCGG
-TGGTATCCCTGGCATGCTGCCGTGGCCGAAGGTGGACTTCAGCAAGTTTGGTGAAATCGAAGAAGTGGAA
-CTGGGCCGCATCCAGAAAATCTCTGGTGCGAACCTGAGCCGTAACTGGGTAATGATCCCGCATGTTACTC
-ACTTCGACAAAACCGATATCACCGAGTTGGAAGCGTTCCGTAAACAGCAGAACGAAGAAGCGGCGAAACG
-TAAGCTGGATGTGAAGATCACCCCGGTTGTCTTCATCATGAAAGCCGTTGCTGCAGCTCTTGAGCAGATG
-CCTCGCTTCAATAGTTCGCTGTCGGAAGACGGTCAGCGTCTGACCCTGAAGAAATACATCAACATCGGTG
-TGGCGGTGGATACCCCGAACGGTCTGGTTGTTCCGGTATTCAAAGACGTCAACAAGAAAGGCATCATCGA
-GCTGTCTCGCGAGCTGATGACTATTTCTAAGAAAGCGCGTGACGGTAAGCTGACTGCGGGCGAAATGCAG
-GGCGGTTGCTTCACCATCTCCAGCATCGGCGGCCTGGGTACTACCCACTTCGCGCCGATTGTGAACGCGC
-CGGAAGTGGCTATCCTCGGCGTTTCCAAGTCCGCGATGGAGCCGGTGTGGAATGGTAAAGAGTTCGTGCC
-GCGTCTGATGCTGCCGATTTCTCTCTCCTTCGACCACCGCGTGATCGACGGTGCTGATGGTGCCCGTTTC
-ATTACCATCATTAACAACACGCTGTCTGACATTCGCCGTCTGGTGATGTAAGTAAAAGAGCCGGCCCAAC
-GGCCGGCTTTTTTCTGGTAATCTCATGAATGTATTGAGGTTATTAGCGAATAGACAAATCGGTTGCCGTT
-TGTTGTTTAAAAATTGTTAACAATTTTGTAAAATACCGACGGATAGAACGACCCGGTGGTGGTTAGGGTA
-TTACTTCACATACCCTATGGATTTCTGGGTGCAGCAAGGTAGCAAGCGCCAGAATCCCCAGGAGCTTACA
-TAAGTAAGTGACTGGGGTGAGGGCGTGAAGCTAACGCCGCTGCGGCCTGAAAGACGACGGGTATGACCGC
-CGGAGATAAATATATAGAGGTCATGATGAGTACTGAAATCAAAACTCAGGTCGTGGTACTTGGGGCAGGC
-CCCGCAGGTTACTCCGCTGCCTTCCGTTGCGCTGATTTAGGTCTGGAAACCGTAATCGTAGAACGTTACA
-ACACCCTTGGCGGTGTTTGCCTGAACGTCGGCTGTATCCCTTCTAAAGCACTGCTGCACGTAGCAAAAGT
-TATCGAAGAAGCCAAAGCGCTGGCTGAACACGGTATCGTCTTCGGCGAACCGAAAACCGATATCGACAAG
-ATTCGTACCTGGAAAGAGAAAGTGATCAATCAGCTGACCGGTGGTCTGGCTGGTATGGCGAAAGGCCGCA
-AAGTCAAAGTGGTCAACGGTCTGGGTAAATTCACCGGGGCTAACACCCTGGAAGTTGAAGGTGAGAACGG
-CAAAACCGTGATCAACTTCGACAACGCGATCATTGCAGCGGGTTCTCGCCCGATCCAACTGCCGTTTATT
-CCGCATGAAGATCCGCGTATCTGGGACTCCACTGACGCGCTGGAACTGAAAGAAGTACCAGAACGCCTGC
-TGGTAATGGGTGGCGGTATCATCGGTCTGGAAATGGGCACCGTTTACCACGCGCTGGGTTCACAGATTGA
-CGTGGTTGAAATGTTCGACCAGGTTATCCCGGCAGCTGACAAAGACATCGTTAAAGTCTTCACCAAGCGT
-ATCAGCAAGAAATTCAACCTGATGCTGGAAACCAAAGTTACCGCCGTTGAAGCGAAAGAAGACGGCATTT
-ATGTGACGATGGAAGGCAAAAAAGCACCCGCTGAACCGCAGCGTTACGACGCCGTGCTGGTAGCGATTGG
-TCGTGTGCCGAACGGTAAAAACCTCGACGCAGGCAAAGCAGGCGTGGAAGTTGACGACCGTGGTTTCATC
-CGCGTTGACAAACAGCTGCGTACCAACGTACCGCACATCTTTGCTATCGGCGATATCGTCGGTCAACCGA
-TGCTGGCACACAAAGGTGTTCACGAAGGTCACGTTGCCGCTGAAGTTATCGCCGGTAAGAAACACTACTT
-CGATCCGAAAGTTATCCCGTCCATCGCCTATACCGAACCAGAAGTTGCATGGGTGGGTCTGACTGAGAAA
-GAAGCGAAAGAGAAAGGCATCAGCTATGAAACCGCCACCTTCCCGTGGGCTGCTTCTGGTCGTGCTATCG
-CTTCCGACTGCGCAGACGGTATGACCAAGCTGATTTTCGACAAAGAATCTCACCGTGTGATCGGTGGTGC
-GATTGTCGGTACTAACGGCGGCGAGCTGCTGGGTGAAATCGGCCTGGCAATCGAAATGGGTTGTGATGCT
-GAAGACATCGCACTGACCATCCACGCGCACCCGACTCTGCACGAGTCTGTGGGCCTGGCGGCAGAAGTGT
-TCGAAGGTAGCATTACCGACCTGCCGAACCCGAAAGCGAAGAAGAAGTAATTTTTCGTTTGCCGGAACAT
-CCGGCAATTAAAAAAGCGGCTAACCACGCCGCTTTTTTTACGTCTGCAATTTACCTTTCCAGTCTTCTTG
-CTCCACGTTCAGAGAGACGTTCGCGTACTGCTGACCGTTGCTCGTTATTCAGCCTGACAGTATGGTTACT
-GTCGTTTAGACGTTGTGGGCGGCTCTCCTGAACTTTCTCCCGAAAAACCTGACGTTGTTCAGGTGATGCC
-GATTGAACACGCTGGCGGGCGTTATCACGTTGCTGTTGATTCAGTGGGCGCTGCTGTACTTTTTCCTTAA
-ACACCTGGCGCTGCTCTGGTGATGCGGACTGAATACGCTCACGCGCTGCGTCTCTTCGCTGCTGGTTCTG
-CGGGTTAGTCTGCATTTTCTCGCGAACCGCCTGGCGCTGCTCAGGCGAGGCGGACTGAATGCGCTCACGC
-GCTGCCTCTCTTCGCTGCTGGATCTTCGGGTTAGTCTGCATTCTCTCGCGAACTGCCTGGCGCTGCTCAG
-GCGAGGCGGACTGATAACGCTGACGAGCGGCGTCCTTTTGTTGCTGGGTCAGTGGTTGGCGACGGCTGAA
-GTCGTGGAAGTCGTCATAGCTCCCATAGTGTTCAGCTTCATTAAACCGCTGTGCCGCTGCCTGACGTTGG
-GTATCTCGTGTAATGACTGGTGCGGCGTGTGTTCGTTGCTGAAACTGATTTGCTGCCGCCTGACGCTGGC
-TGTCGCGCGTTGGGGCAGGTAATTGCGTGGCGCTCATTCCGCCGTTGACATCGGTTTGATGAAACCGCTT
-TGCCATATCCTGATCATGATAGGGCACACCATTACGGTAGTTTGGATTGTGCCGCCATGCCATATTCTTA
-TCAGTAAGATGCTCACCGGTGATACGGTTGAAATTGTTGACGTCGATATTGATGTTGTCGCCGTTGTGTT
-GCCAGCCATTACCGTCACGATGACCGCCATCGTGGTGATGATAATCATCATCGTCATGATGATGATGGTC
-ATGATCGTCGTCGTCCCAGTCGATGCTGCTGAATAGTGCGTACGTGGTAGCAACGCCCATGCTATAGCCG
-AATCCGCGTACAAAGCTGTCAACAAACGGTTCTCCGGCTGGTGGTGGCAGATAAACCGGCGGATACGCAG
-TATTGGCCCAGTTCCCGTAAACCACGGTTGGGTTGTAGTTGGGAATATAGACCACATCAGGATTGGCGGG
-CTCAATGGAAATGACGGTTGTTGCCGGCTCTGTAATGACGGGGTTGGCAGTTAAAACTGTATTGGATGGT
-ATGACGGGTGCCGTGACTGTCTGTTTTACCGGTACAGCTTTCTTCGTTGTGGTAATAACTTTCTGTTCGG
-TTGATGACTTCAGCGAGCCGGTTTGTTGCGCCAGTTGCCGCAATCGCTGTACCGAGTCCATCACGTCCTG
-CGGCTGGGCCAGAAAAGCATCGCCCAGGTTTTGCACCCATTGCGGGTTTTCGCCCATCAATGCCATCAAT
-TGTGGAAAGGCCACCAGTGATTTAACGCTGGCGTCCCACGGCTGGTCAGATACCGCCTGAATAGCAGCAT
-CGCCTTGTTTAAGTGGATTATCGTGCGACCATTGCACTGCTTGAGCAACGTTTGTCGGATAGGTTGATGC
-CATCAGCACCTGCGAAAGTAGGGCGTCGGGATACAGCGCGACGGGCGCGACCCATTGATCTATTTGTGCA
-GTGCTGAATGCGGATTTGACGACGGCGGGTGTTACGGGAGGTGCGGAAACCGTTGCAGGAAACGTAACCG
-CGGCAGCGTCAGACACAGCCAGTTGTGTCGATTGCGGTTCCACAGGCGCTTCCACTGTGCGGCTTTTTAT
-ATATAGCCCGGTAGAGGCGGCACAAAGCCCGGCACTGCAAATTAGCGCCAGCACATGGGGTTTAAACGGC
-AAAGTCATTTTCATAATTCGGATCTCAAGGAAATCGCAATGGTCGGCGAACTGCCACCCGCAGGTGCTGT
-GAATCCGAGTATAAAGAGGCGGTAGTTTAAATTTTGACTAATCTTGGGATTCGTTGAGAAAGGTGATTAT
-CACCATGCGAATTAACGAAGTTTTTACGGAGGGAAACAATCTCTAGACCATCCTTAACGATTCAGCCACT
-TTTTTATGTTGCTTTTTTGTAAACAGATTAACACCTCGTCAAAATCCTGCTATTCTGCCCGTTGCGGTAC
-TGGGCATTTACCCTACAAACTGCTGTCTCACAGGAGCGTGAAGAGAATCGCCTGCCGCACTATGACAATG
-AGAGCGAGGAGAACCGTCGTGCTAGAAGAATACCGTAAGCACGTAGCTGAGCGTGCCGCTGAGGGGATTG
-CGCCCAAACCCCTGGATGCAAACCAAATGGCCGCACTTGTAGAGCTGCTGAAAAACCCGCCCGCGGGCGA
-AGAAGAATTCCTGTTAGATCTGTTAACCAACCGTGTTCCCCCAGGCGTCGATGAAGCCGCCTATGTCAAA
-GCAGGCTTCCTGGCTGCTATCGCTAAAGGCGAAGCCAAATCCCCTCTGCTGACTCCGGAAAAAGCCATCG
-AACTGCTGGGCACCATGCAGGGTGGTTACAACATTCATCCGCTGATCGACGCGCTGGATGATGCCAAACT
-GGCACCGATCGCTGCCAAAGCACTTTCTCACACACTGCTGATGTTCGATAACTTCTATGACGTAGAAGAG
-AAAGCGAAAGCAGGCAACGAATATGCGAAGCAGGTAATGCAGTCCTGGGCGGATGCCGAATGGTTCCTGA
-ATCGCCCGGCGCTGGCTGAAAAACTGACCGTTACCGTCTTCAAAGTCACTGGCGAAACCAACACCGATGA
-CCTCTCTCCGGCACCGGATGCGTGGTCACGCCCGGATATCCCACTGCACGCGCTGGCGATGCTGAAAAAC
-GCCCGTGAAGGCATCGAGCCAGACCAGCCAGGTGTTGTTGGTCCGATCAAGCAAATCGAAGCTCTGCAAC
-AGAAAGGTTTCCCGCTGGCGTACGTCGGTGACGTTGTGGGTACGGGTTCATCGCGTAAATCCGCCACGAA
-CTCCGTACTGTGGTTTATGGGTGATGATATTCCACATGTGCCGAACAAACGCGGCGGTGGTTTGTGCCTC
-GGCGGTAAAATTGCACCAATCTTCTTTAACACAATGGAAGACGCAGGTGCACTGCCAATCGAAGTCGACG
-TCTCTAACCTGAACATGGGCGACGTAATTGACGTTTACCCGTACAAAGGTGAAGTGCGTAACCACGAAAC
-CGGCGAACTGCTGGCGACCTTCGAACTGAAAACCGACGTGCTGATTGATGAAGTGCGTGCTGGCGGCCGT
-ATTCCGCTGATTATTGGGCGTGGCCTGACCACCAAAGCGCGTGAAGCACTTGGTCTGCCGCACAGTGATG
-TGTTCCGTCAGGCGAAAGATGTCGCTGAGAGCGATCGCGGCTTCTCGCTGGCGCAAAAAATGGTAGGCCG
-TGCCTGTGGCGTGAAAGGCATTCGTCCGGGCGCGTACTGCGAACCGAAAATGACTTCTGTAGGCTCTCAG
-GACACCACCGGCCCGATGACCCGTGATGAACTGAAAGACCTGGCGTGCCTGGGCTTCTCGGCTGACCTGG
-TGATGCAGTCTTTCTGCCACACCGCGGCGTATCCGAAGCCAGTTGACGTGAACACGCACCACACGCTGCC
-GGACTTCATTATGAACCGTGGCGGTGTGTCGCTGCGTCCGGGTGACGGCGTCATTCACTCCTGGCTGAAC
-CGTATGCTGCTGCCGGATACCGTCGGTACCGGTGGTGACTCCCATACCCGTTTCCCGATCGGTATCTCTT
-TCCCGGCGGGTTCTGGTCTGGTGGCGTTTGCTGCCGCAACTGGCGTAATGCCGCTGGATATGCCGGAATC
-CGTTCTGGTGCGCTTCAAAGGCAAAATGCAGCCGGGCATCACCCTGCGCGATCTGGTACACGCGATCCCG
-CTGTATGCGATCAAACAAGGTCTGCTGACCGTTGAGAAGAAAGGCAAGAAAAACATCTTCTCTGGCCGCA
-TCCTGGAAATTGAAGGTCTGCCGGATCTGAAAGTTGAGCAGGCCTTTGAGCTAACCGATGCGTCCGCCGA
-GCGTTCTGCCGCTGGTTGTACCATCAAGCTGAACAAAGAACCGATCATCGAATACCTGAACTCTAACATC
-GTCCTGCTGAAGTGGATGATCGCGGAAGGTTACGGCGATCGTCGTACCCTGGAACGTCGTATTCAGGGCA
-TGGAAAAATGGCTGGCGAATCCTGAGCTGCTGGAAGCCGATGCAGATGCGGAATACGCGGCAGTGATCGA
-CATCGATCTGGCGGATATTAAAGAGCCAATCCTCTGTGCACCGAACGACCCGGACGACGCACGTCCGCTG
-TCTGCGGTACAGGGCGAGAAGATCGACGAAGTGTTTATCGGTTCCTGCATGACCAACATCGGTCACTTCC
-GTGCTGCGGGTAAACTGCTGGATGCGCACAAAGGCCAGTTGCCGACGCGCCTGTGGGTGGCACCGCCAAC
-CCGTATGGATGCCGCGCAGTTGACCGAAGAAGGCTACTATAGCGTCTTCGGTAAGAGCGGTGCGCGTATC
-GAGATCCCTGGCTGTTCCCTGTGTATGGGTAACCAGGCGCGTGTAGCAGACGGTGCGACGGTGGTTTCCA
-CCTCTACCCGTAACTTCCCGAACCGTCTGGGGACTGGCGCGAATGTCTTCCTGGCTTCTGCGGAACTGGC
-GGCTGTTGCGGCGCTGATTGGCAAACTGCCGACGCCGGAAGAGTACCAGACCTACGTGGCGCAAGTAGAT
-AAAACTGCCGTTGATACTTATCGTTATCTGAACTTCAACCAGCTTTCTCAGTACACCGAAAAAGCCGATG
-GGGTGATTTTCCAGACTGCGGTTTAAAAAGTCAGCGCACGCGCTGCGCATAAACGACACAATGCTCGGGG
-AATGAGATTCCCGGGCATTTTTTATTTCTAAACCATCGCCGTTCCGCTGTTTTTCTCCGGTAAGGCTGCG
-ATAATTACATCAATGGCGCAATGCGATTTCGGCGCATTGCCGGGAGCAGAGGAACACACTATGGATTACG
-AATTTCTGCGCGATATTACCGGAGTGGTAAAGGTGCGTATGTCCATGGGGCATGAAGTGGTCGGGCACTG
-GTTTAATGAAGAGGTGAAAGAAAACCTGGCCTTGCTTGATGAAGTGGAACAAGCAGCGCACGCACTGAAA
-GGTAGCGAACGGTCCTGGCAACGGGCAGGGCATGAATACACCCTGTGGATGGACGGTGAAGAGGTGATGG
-TTCGCGCCAATCAACTGGAATTCGCTGGCGATGAAATGGAAGAGGGGATGAACTACTACGACGAAGAAAG
-CCTGTCGCTATGCGGCGTTGAGGATTTTCTGCAGGTCGTGGCGGCTTACCGCAATTTCGTGCAGCAGAAG
-TAAATAAATCTGGCGGAGCCTGGGAGCTCCGCCAGAGCCGTTAAACAGCTGGCATATTGCGCCCGTAATA
-AATCTCGCGCATTTCTTTCCACAGCGCAGCGGTAATTTCCTGGCGCTCGCTGTCGGTTAAGTCTTCCGGT
-TTGGTGTGGAACATGTAGTGCTTAAGGTCGAACTCTTTAAGCAACATCTTGGTATGGAAGATATTTTCCT
-GATAGACGTTCACATCCACCATGTCATACAGCGCCTTCATATCGTCAGACATAAAGTTCTGAATCGAATT
-AATCTCATGGTCGATAAAGTGCTTCATACCGTTAATGTCGCGGGTAAAACCGCGCACGCGATAATCAATG
-GTTACGATATCGGACTCAAGCTGGTGGATCAGGTAATTCAGCGCCTTCAGCGGAGAAATCACGCCGCAGG
-TAGAGACTTCAATATCGGCGCGGAAGGTACATAAACCGCCTTCAGGATGACTTTCCGGGTAGGTATGTAC
-GCAAATATGACTTTTATCAAGATGGGCAACGACCGTTTCTGGCAGTGGGCCGGGGTGTTCTGTTTTGTCG
-ATGAGTTTCGGGTCAACCGGTTCTTCACTCACCAGAATAGTGACGCTGGCACCCTGTGGTTCGTAATCCT
-GGCGGGCGATGTTAAGAATATTAGCCCCGATAATGGAACAGGTTTCTGACAGGATTTCGGTCAGACGGTT
-GGCATTATAGAGTTCATCGATATAAGCAATATAACCGTCGCGCTCTTCGGCAGTTTTGGCGTAGCAGATA
-TCGTAAATACAAAAACTCAGACTTTTGGTCAGATTATTAAAGCCATGCAGTTTCAGTTTTTTCAATTTCT
-TATCTTCTCCTTAGGACGGCTGTGAAGCCAGTGCGTCTTGCAGATACTGAGGTAAGGCAAAAGCTGCCGT
-ATGGATTGCCGGATTGTAATAACGGCATTTCAGGCCAGAGGCGAGAAAACGCGCCTGAATAATTTCGGTT
-GAGAGATGGCGTAAGGCGTCGTTATCTGTCGCCCATGCAAAAGTCATGATACCGCCGTAATAGGTCGGGA
-TCGCCGCCTGATAAAAGCCAACGTCGCTGAAGTAATGGCTGAGTTTGCGATGGCTGTCGATGGCTTCTTC
-CTGCTGTAAAAAGCAGACGCCGTTTTGTGCGACGAAGATACCGCCAGGATTCAGGCAACGTTTGCAGCCT
-TCATAAAATGCCGAAGTGAAAAGGCTTTCGCCGGGACCGATAGGATCGGTGCAGTCGGAGATAATGACAT
-CAAAGGTCTGGCTGGTTTGATTAACGAAATTGACGCCATCGTCGATCACCAGCTTAAAGCGCGGATCGTC
-GTAGCTACCGGCGTTATGGTTGGGTAGATACTGACGGCAGAACGATACGACACCCGCATCGATTTCCACC
-ATCGTGATTGACTCAACGTTTTTATGTCGGGTTACTTCACGCAGCATGGCACCGTCGCCGCCGCCGATAA
-TCAGCACATGTTTCGCGTGACCATGGGCCAGTAGCGGAACATGGGTCATCATCTCATGATAGATAAACTC
-GTCGCGCTCGGTGGTTTGTACTACGCCATCCAGCGCCATTACGCGACCAAATGCAGCGTTCTCAAAAATG
-ATCAGATCCTGGTGATCGGTCTTTTCATGATACAGAACGTTATCTACCGCAAAGTACTGCCCAAACTGGT
-CGTGTAGCGTTTCATGCCACTGTTTTTTTTCGGCCATGGGTTGATACCTCCTTTGTTAACACCCGTAAAA
-AAAGGGCGCAACATAATAGCTAACATTGACCGCGGATGCACGGTCAATATTTCTACAAAAAGGTATCAGG
-GATTATTTGACGTAGGCAAGCAGGCTTAAGGAATCGCGGGCCAGGGCTTTGCATTTTTTAGCGACGGGAA
-TGCCAATGCCGCTGAGATCGCGGTAGCTGTCTTCACCGAGGGCTTTCATGTCGAAGGTGTCGTAATTACT
-GAGGTCCCACTGGTTTTGCTGAGCGAAAAAGACCAGTGCGCGACGAATTTGCCCGTTAGGTAAGTTCTGG
-TAACCACAATCGTTCTTCAGAAAGACAAAAACTGCCGTTAAATCGGCCATATCTTCGGCTTCAGACTCGC
-TGAGCGCGTAACTGTTTGCGCAGACGGCCATCAGGCTGCCGAATAACACTGTTCTGAAAAACGTCTTCAT
-TGCTTCTACCAGGGGCTTAAAGAAGATAAACGTTAGCACACTGCGAGCGAGGCGACGACCATTATTGTCG
-ATTAAATTGTGTCTGCGGCTTGACCTTCCCGTAAGGGGAAGGACTATGCTCAACGTTTGATTTTGTTTCG
-CCTGCTTAAGAATAAGGAAATAACTATGCAACGTCGTGATTTCTTAAAATATTCCGTCGCGCTGGGTGTG
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/03.fa b/anvio/tests/sandbox/mock_data_for_pangenomics/03.fa
deleted file mode 100644
index 527b8f0040..0000000000
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/03.fa
+++ /dev/null
@@ -1,2000 +0,0 @@
->g260866153
-AGCTTTTCATTCTGACTGCAACGGGCAATATGTCTCTGTGTGGATTAAAAAAAGAGTGTCTGATAGCAGC
-TTCTGAACTGGTTACCTGCCGTGAGTAAATTAAAATTTTATTGACTTAGGTCACTAAATACTTTAACCAA
-TATAGGCATAGCGCACAGACAGATAAAAATTACAGAGTACACAACATCCATGAAACGCATTAGCACCACC
-ATTACCACCACCATCACCATTACCACAGGTAACGGTGCGGGCTGACGCGTACAGGAAACACAGAAAAAAG
-CCCGCACCTGACAGTGCGGGCTTTTTTTTCGACCAAAGGTAACGAGGTAACAACCATGCGAGTGTTGAAG
-TTCGGCGGTACATCAGTGGCAAATGCAGAACGTTTTCTGCGTGTTGCCGATATTCTGGAAAGCAATGCCA
-GGCAGGGGCAGGTGGCCACCGTCCTCTCTGCCCCCGCCAAAATCACCAACCACCTGGTGGCGATGATTGA
-AAAAACCATTAGCGGCCAGGATGCTTTACCCAATATCAGCGATGCCGAACGTATTTTTGCCGAACTTTTG
-ACGGGACTCGCAGCCGCCCAGCCGGGGTTCCCGCTGGCGCAATTGAAAACTTTCGTCGATCAGGAATTTG
-CCCAAATAAAACATGTCCTGCATGGCATTAGTTTGTTGGGGCAGTGCCCGGATAGCATCAACGCTGCGCT
-GATTTGCCGTGGCGAGAAAATGTCGATCGCCATTATGGCCGGCGTGTTAGAAGCGCGTGGTCACAACGTT
-ACCGTTATCGATCCGGTCGAAAAACTACTGGCAGTGGGGCATTACCTCGAATCTACCGTCGATATTGCTG
-AGTCCACCCGCCGTATTGCGGCAAGTCGTATTCCGGCTGATCACATGGTGCTGATGGCAGGCTTCACCGC
-CGGTAATGAAAAAGGCGAACTGGTGGTACTTGGACGTAACGGTTCCGACTACTCCGCGGCGGTGTTGGCT
-GCCTGTTTACGCGCCGATTGTTGCGAGATTTGGACGGACGTTGACGGGGTCTATACCTGCGACCCGCGTC
-AGGTGCCCGATGCGAGGTTGTTGAAGTCGATGTCCTACCAGGAAGCGATGGAGCTTTCCTACTTCGGCGC
-TAAAGTTCTTCACCCCCGCACCATTACCCCCATCGCCCAGTTCCAGATCCCTTGCCTGATTAAAAATACC
-GGAAATCCTCAAGCACCAGGTACGCTCATTGGTGCCAGTCGTGATGAAGACGAATTACCGGTCAAGGGCA
-TTTCCAATCTGAATAACATGGCAATGTTCAGCGTTTCCGGCCCGGGGATGAAAGGAATGGTCGGCATGGC
-GGCGCGCGTCTTTGCCGCGATGTCACGCGCCCGTATTTCCGTGGTGCTGATTACGCAATCATCTTCCGAA
-TACAGTATCAGTTTCTGCGTTCCGCAAAGCGACTGTGTACGGGCTGAACGGGCAATGCAGGAAGAGTTCT
-ACCTGGAACTGAAAGAAGGCTTACTGGAGCCGCTGGCGGTGACGGAACGGCTGGCCATTATCTCGGTGGT
-AGGTGATGGTATGCGCACCTTGCGTGGGATCTCGGCGAAATTCTTTGCCGCGCTGGCCCGCGCCAATATC
-AACATTGTCGCCATTGCTCAGGGATCTTCTGAACGCTCAATCTCTGTCGTGGTAAATAACGATGATGCGA
-CCACTGGCGTGCGCGTTACTCATCAGATGCTGTTCAATACCGATCAGGTTATCGAAGTGTTTGTGATTGG
-CGTCGGTGGCGTTGGCGGTGCGCTGCTGGAGCAACTGAAGCGTCAACAAAGCTGGTTGAAGAATAAACAT
-ATCGACTTACGTGTCTGCGGTGTTGCCAACTCGAAGGCACTGCTCACCAATGTGCATGGCCTAAATCTGG
-AAAACTGGCAGGAAGAACTGGCGCAAGCCAAAGAGCCGTTTAATCTCGGGCGCTTAATTCGCCTCGTGAA
-AGAATATCATCTGCTGAACCCGGTCATTGTTGACTGCACCTCCAGCCAGGCAGTGGCGGATCAATATGCC
-GACTTCTTGCGCGAAGGTTTCCACGTTGTCACGCCGAACAAAAAGGCCAACACCTCGTCGATGGATTACT
-ACCATCTGTTGCGTCATGCGGCGGAAAAATCGCGGCGTAAATTCCTCTATGACACCAACGTTGGGGCTGG
-ATTACCGGTTATTGAGAACCTGCAAAATCTGCTCAATGCTGGTGATGAATTGATGAAGTTCTCCGGCATT
-CTTTCAGGTTCGCTTTCTTATATCTTCGGCAAGTTAGACGAAGGCATGAGTTTCTCCGAGGCGACTACTC
-TGGCGCGGGAAATGGGTTATACCGAACCGGATCCGCGAGATGATCTTTCTGGTATGGATGTAGCGCGTAA
-GCTATTGATTCTCGCTCGTGAAACGGGACGTGAACTGGAGCTGGCGGATATTGAAATTGAACCTGTGCTG
-CCCGCAGAGTTTAACGCTGAGGGTGATGTTGCCGCTTTTATGGCGAATCTGTCACAGCTCGACGATCTCT
-TTGCCGCGCGCGTGGCGAAGGCCCGTGATGAAGGAAAAGTTTTGCGCTATGTTGGCAATATTGATGAAGA
-TGGTGCCTGCCGCGTGAAGATTGCCGAAGTGGATGGTAATGATCCGCTGTTCAAAGTGAAAAATGGCGAA
-AACGCCCTGGCCTTTTATAGCCACTATTATCAGCCGCTGCCGTTGGTGCTGCGCGGATATGGTGCGGGCA
-ATGACGTTACAGCTGCCGGTGTCTTTGCCGATCTGCTACGTACCCTCTCATGGAAGTTAGGAGTCTGACA
-TGGTTAAAGTTTATGCCCCGGCTTCCAGTGCCAATATGAGCGTCGGGTTTGATGTGCTCGGGGCGGCGGT
-GACACCTGTTGATGGTGCATTGCTCGGAGATGTAGTCACGGTTGAGGCGGCAGAGACATTCAGTCTCAAC
-AACCTCGGACGCTTTGCCGATAAGCTGCCGTCAGAACCACGGGAAAATATCGTTTATCAGTGCTGGGAGC
-GTTTTTGCCAGGAGCTTGGCAAGCAAATTCCAGTGGCGATGACTCTGGAAAAGAATATGCCAATCGGTTC
-GGGCTTAGGCTCCAGCGCCTGTTCGGTGGTCGCGGCGCTGATGGCGATGAATGAACACTGTGGCAAGCCG
-CTTAATGACACTCGTTTGCTGGCTTTGATGGGCGAGCTGGAAGGACGAATCTCCGGCAGCATTCATTACG
-ACAACGTGGCACCGTGTTTTCTTGGTGGTATGCAGTTGATGATCGAAGAAAACGACATCATCAGCCAGCA
-AGTGCCAGGGTTTGATGAGTGGCTGTGGGTGCTGGCGTATCCGGGGATTAAAGTCTCGACGGCAGAAGCC
-AGGGCTATTTTACCGGCGCAGTATCGCCGCCAGGATTGCATTGCGCACGGGCGACATCTGGCTGGCTTCA
-TTCACGCCTGCTATTCCCGTCAGCCTGAGCTTGCCGCGAAGCTGATGAAAGATGTTATCGCTGAACCCTA
-CCGTGAACGGTTACTGCCTGGCTTCCGGCAGGCGCGGCAGGCGGTCGCGGAAATCGGCGCGGTAGCGAGC
-GGTATCTCCGGCTCCGGCCCGACCTTGTTCGCTCTATGTGACAAGCCGGATACCGCCCAGCGCGTTGCCG
-ACTGGTTGGGTAAGAACTACCTGCAAAATCAGGAAGGTTTTGTTCATATTTGCCGGCTGGATACGGCGGG
-CGCACGAGTACTGGAAAACTAAATGAAACTCTACAATCTGAAAGATCACAACGAGCAGGTCAGCTTTGCG
-CAAGCCGTAACCCAGGGGTTGGGCAAAAATCAGGGGCTGTTTTTTCCGCATGACCTGCCGGAATTCAGCC
-TGACTGAAATTGATGAGATGCTGAAGCTGGATTTTGTCACCCGCAGTGCGAAGATCCTCTCGGCGTTTAT
-TGGTGATGAAATCCCGCAGGAAATCCTGGAAGAGCGCGTGCGCGCGGCGTTTGCCTTCCCGGCTCCGGTC
-GCCAATGTTGAAAGCGATGTCGGTTGTCTGGAATTGTTCCACGGGCCAACGCTGGCATTTAAAGATTTCG
-GCGGTCGCTTTATGGCACAAATGCTGACCCATATTGCGGGCGATAAGCCAGTGACCATTCTGACCGCGAC
-CTCCGGTGATACCGGAGCGGCAGTGGCTCATGCTTTCTACGGTTTACCGAATGTGAAAGTGGTTATCCTC
-TATCCACGAGGCAAAATCAGTCCACTGCAAGAAAAACTGTTCTGTACGTTGGGCGGCAATATCGAAACTG
-TTGCCATCGACGGCGATTTCGATGCCTGTCAGGCGCTGGTGAAGCAGGCGTTTGATGATGAAGAACTGAA
-AGTGGCGCTGGGGTTAAACTCAGCTAACTCGATTAACATCAGCCGTTTGCTGGCGCAGATTTGCTACTAC
-TTTGAAGCTGTTGCGCAGCTGCCGCAGGAAGCGCGCAACCAGCTGGTTGTCTCGGTGCCAAGCGGAAACT
-TCGGCGATTTGACGGCGGGTCTGCTGGCGAAGTCACTCGGTCTGCCGGTGAAACGTTTTATTGCTGCGAC
-CAACGTGAACGATACCGTGCCACGTTTCCTGCACGACGGTCAGTGGTCACCCAAAGCGACTCAGGCGACG
-TTATCCAACGCGATGGACGTGAGTCAGCCGAACAACTGGCCGCGTGTGGAAGAGTTGTTCCGCCGCAAAA
-TCTGGCAACTGAAAGAGCTGGGTTATGCAGCCGTGGATGATGAAACCACGCAACAGACAATGCGTGAGTT
-AAAAGAACTGGGCTACACCTCGGAGCCGCACGCTGCCGTAGCGTATCGTGCGCTGCGTGACCAGTTGAAT
-CCAGGCGAATATGGCTTGTTCCTCGGCACCGCGCATCCGGCGAAATTTAAAGAGAGCGTGGAAGCGATTC
-TCGGTGAAACGTTGGATCTGCCAAAAGAGCTGGCAGAACGTGCTGATTTACCCTTGCTTTCACATAATCT
-GCCCGCCGATTTTGCTGCGTTGCGTAAATTGATGATGAATCATCAGTAAAATCTATTCATTATCTCAATC
-AGGCCGGGTTTGCTTTTATGCAGCCCGGCTTTTTTATGAAGAAATTATGGAGAAAAACGACAGGGAAAAA
-GGAGAAATTCTCAATAAATGCGGTAACTTAGAGATTAGGATTGCGGAGAATAACAACCGTCGTTCTCATC
-GCGTAATCTCCGGATATCGACCCATAACGGGCAATGATAAAAGGAGTAACCTGTGAAAAAGATGCAATCT
-ATCGTACTCGCACTTTCCCTGGTTCTGGTCGCTCCCATGGCAGCACAGGCTGCGGAAATTACGTTAGTCC
-CGTCAGTAAAATTACAGATAGGCGATCGTGATAATCGTGGCTATTACTGGGATGGAGGTCACTGGCGCGA
-CCACGGCTGGTGGAAACAACATTATGAATGGCGAGGCAATCGCTGGCACCCACACGGACCGCCGCCACCG
-CCGCGCCACCATAAGAAAGCTCCTCATGATCATCACGGCGGTCATGGTCCAGGCAAACATCACCGCTAAA
-TGACAAATGCCGGGTAACAATCCGGCATTCAGCGCCTGATGCGACGCTGGCGCGTCTTATCAGGATCTAC
-GTGAATTCTGCAATATATTGAATCTGCATGCTTTTGTAGGCCGGATAAGGCGTTCACGCCGCATCCGGCA
-TTGACTACAAACTTAACGCTGCTCGTAGCGTTTAAACACCAGTTCGCCATTGCTGGAGGAATCTTCATCA
-AAGAAGTAACCTTCGCTATTAAAACCAGTCAGTTGCTCTGGTTTGGTCAGCCGATTTTCAATAATGAAAC
-GACTCATCAGACCGCGTGCTTTCTTAGCGTAGAAGCTGATGATCTTAAATTTGCCGTTCTTCTCATCGAG
-GAACACCGGCTTGATAATCTCGGCATTCAATTTCTTCGGCTTCACCGATTTAAAATACTCATCTGACGCC
-AGATTAATCACCACATTATCGCCTTGTGCTGCGAGCGCCTCGTTCAGCTTGTTGGTGATGATATCTCCCC
-AGAATTGATACAGATCTTTCCCTCGGGCATTCTCAAGACGGATCCCCATTTCCAGACGATAAGGCTGCAT
-TAAATCGAGCGGGCGCAGTACGCCATACAAGCCGGAAAGCATTCGCAAATGCTGTTGGGCAAAATCGAAA
-TCGTCTTCGCTGAAGGTTTCGGCCTGCAAGCCGGTGTAGACATCACCTTTAAACGCCAGAATCGCCTGGC
-GGGCATTCTCCGGCGTGAAATCTGGCTGCCAGTCATGAAAGCGAGCGGCGTTGATACCCGCCAGTTTGTC
-GCTGATGCGCATCAGCGTGCTAATCTGCGGAGGCGTCAGTTTCCGCGCTTCATGGATCAACTGCTGGGAA
-TTGTCTAACAGCTCCGGCAGCGTATAGCGCATGGTGGTCAACGGGCTTTGGTAATCAAGCGTTTTCGCAG
-GTGAAATAAGAATCAGCATATCCAGTCCTTGCAGGAAATTTATGCCGACTTTAGCAAAAAAAGAGAATGA
-GTTGATCGATAGTTGTGATTACTCCTGCGAAACATCATCCCACGCGTCCGGAGAAAGCTGGCGACCGATA
-TCCGGATAACGCAACGGATCAAACACCGGGCGCACGCCGAGTTTACGCTGGCGTAGATAATCACTGGCAA
-TGGTATGAACCACAGGCGAGAGCAGTAAAATGGCGGTCAAATTGGTAATAGCCATGCAGGCCATTATGAT
-ATCTGCCAGTTGCCACATCAGCGGAAGACTTAGCAAGGTGCCGCCGATGACCGTTGCGAAGGTGCAGATC
-CGCAAACACCAGATCGCTTTAGGGTTGTTCAGGCGTAAAAAGAAGAGATTGTTTTCGGCATAAATGTAGT
-TGGCAACGATGGAGCTGAAGGCAAACAGAATAACCACGAGGGTAACAAACTCAGCACCCCAGGAACCCAT
-TAGCACCCGCATCGCCTTCTGGATAAGCTGAATACCTTCCAGCGGCATGTAGGTTGTGCCGTTACCCGCC
-AGTAATATCAGCATGGCGCTTGCCGTACAGATGACCAGGGTGTCGATAAAAATGCCAATCATCTGGACAA
-TCCCTTGCGCTGCCGGATGCGGAGGCCAGGACGCCGCTGCCGCTGCTGCGTTTGGTGTAGAACCCATTCC
-CGCCTCATTGGAAAACATACTGCGCTGAAAACCGTTAGTAATCGCCTGGCTTAAGGTATATCCCGCCGCG
-CCGCCTGCCGCTTCCTGCCAGCCAAAAGCACTCTCAAAAATAGACCAAATGACGTGGGGAAGTTGCCCGA
-TATTCATTACGCAAATCACCAGGCTGGTCAGTACCCAGATTATCGCCATCAACGGGACAAAACCCTGCAT
-GAGCCGGGCGACGCCATGAAGACCGCGAGTGATTGCCAGCAGAGCAAAGACAGCGAGAATAATGCCTGTC
-ACCAGCGGAGGAAAATCAAAAGAAAAACTTAGGGCGCGGGCAACGGCGTTCGCCTGAACTCCGCTGAAAA
-TTATGCCATAGGCGATGAGCAAAAAGACGGCGAACAGAACGCCCATCCAACGCATCCCCAGCCCGCGCGC
-CATATACCATGCCGGTCCGCCACGAAACTGTCCATTGACGTCACGTTCTTTATAAAGTTGTGCCAGAGAA
-CATTCGGCAAACGAGGTCGCCATGCCGATAAACGCGGCAACCCACATCCAAAAGACGGCTCCAGGTCCAC
-CGGCGGTAATTGCCAGCGCAACGCCGGCCAGGTTGCCGCTACCCACGCGCGCCGCAAGACTGGTACACAA
-TGACTGAAATGAGGTTAAACCGCCTGGCTGTGGATGAATGCTATTTTTAAGACTTTTGCCAAACTGGCGG
-ATGTAGCGAAACTGCACAAATCCGGTGCGAAAAGTGAACCAACAACCTGCGCCGAAGAGCAGGTAAATCA
-TTACCGATCCCCAAAGGACGCTGTTAATAAAGGAGAAAAAATCTGGCATGCATATCCCTCTTATTGCCGG
-TCGCGATGACTTTCCTGTGTAAACGTTACCAATTGTTTAAGAAGTATATACGCTACGAGGTACTTGATAA
-CTTCTGCGTAGCATACATGAGGTTTTGTATAAAAATGGCGGGCGATATCAACGCAGTGTCAGAAATCCGA
-AACAGTCTCGCCTGGCGATAACCGTCTTGTCGGCGGTTGCGCTGACGTTGCGTCGTGATATCATCAGGGC
-AGACCGGTTACATCCCCCTAACAAGCTGTTTAAAGAGAAATACTATCATGACGGACAAATTGACCTCCCT
-TCGTCAGTACACCACCGTAGTGGCCGACACTGGGGACATCGCGGCAATGAAGCTGTATCAACCGCAGGAT
-GCCACAACCAACCCTTCTCTCATTCTTAACGCAGCGCAGATTCCGGAATACCGTAAGTTGATTGATGATG
-CTGTCGCCTGGGCGAAACAGCAGAGCAACGATCGCGCGCAGCAGATCGTGGACGCGACCGACAAACTGGC
-AGTAAATATTGGTCTGGAAATCCTGAAACTGGTTCCGGGCCGTATCTCAACTGAAGTTGATGCGCGTCTT
-TCCTATGACACTGAAGCGTCAATTGCGAAAGCAAAACGCCTGATCAAACTCTACAACGATGCTGGTATTA
-GCAACGATCGTATTCTGATCAAACTGGCTTCTACCTGGCAGGGTATCCGTGCTGCAGAACAGCTGGAAAA
-AGAAGGCATCAACTGTAACCTGACCCTGCTGTTCTCCTTCGCTCAGGCTCGTGCTTGTGCGGAAGCGGGC
-GTGTTCCTGATCTCGCCGTTTGTTGGCCGTATTCTTGACTGGTACAAAGCGAATACCGATAAGAAAGAGT
-ACGCTCCGGCAGAAGATCCGGGCGTGGTTTCTGTATCTGAAATCTACCAGTACTACAAAGAGCACGGTTA
-TGAAACCGTGGTTATGGGCGCAAGCTTCCGTAACATCGGCGAAATTCTGGAACTGGCAGGCTGCGACCGT
-CTGACCATCGCACCGGCACTGCTGAAAGAGCTGGCTGAGAGCGAAGGGGCTATCGAACGTAAACTGTCTT
-ACACCGGCGAAGTGAAAGCGCGTCCGGCGCGTATCACTGAGTCCGAGTTCCTGTGGCAGCACAACCAGGA
-TCCAATGGCAGTAGATAAACTGGCGGAAGGTATCCGTAAGTTTGCTATTGACCAGGAAAAACTGGAAAAA
-ATGATCGGCGATCTGCTGTAATCATTCTTAGCGTGACCGGGAAGTCGGTCACGCTACCTCTTCTGAAGCC
-TGTCTGTCACTCCCTTCGCAGTGTATCATTCTGTTTAACGAGACTGTTTAAACGGAAAAATCTTGATGAA
-TACTTTACGTATTGGCTTAGTTTCCATCTCTGATCGCGCATCCAGCGGCGTTTATCAGGATAAAGGCATC
-CCTGCGCTGGAAGAATGGCTGACATCGGCGCTAACCACGCCGTTTGAACTGGAAACCCGCTTAATCCCCG
-ATGAGCAGGCGATCATCGAGCAAACGTTGTGTGAGCTAGTGGATGAAATGAGTTGCCATCTGGTGCTCAC
-CACGGGCGGAACTGGCCCGGCGCGTCGTGACGTAACGCCCGATGCGACGCTGGCAGTAGCGGACCGCGAG
-ATGCCTGGCTTTGGTGAACAGATGCGCCAGATAAGCCTGCATTTTGTACCAACTGCGATCCTTTCGCGTC
-AGGTTGGTGTGATTCGCAAACAGGCGCTGATCCTTAACTTACCCGGTCAGCCGAAGTCTATTAAAGAGAC
-GCTGGAAGGTGTGAAGGACGCTGCGGGTAACGTTGTGGTACACGGTATTTTTGCCAGCGTACCGTACTGC
-ATTCAGTTGCTGGAAGGGCCATACGTTGAAACGGCACCGGAAGTGGTTGCAGCATTCAGACCGAAGAGTG
-CAAGACGCGACGTTAGCGAATAAAAAAATCCCCCCGAGCGGGGGGATCTCAAAACAATTAGTGGGATTCA
-CCAATCGGCAGAACGGTGCGACCAAACTGCTCGTTCAGTACTTCACCCATCGCCAGATAGATTGCGCTGG
-CACCGCAGATCAGCCCAATCCAGCCGGCAAAGTGGATGATTGCGGCGTTACCGGCAATGTTACCGATCGC
-CAGCAGGGCAAACAGCACGGTCAGGCTAAAGAAAACGAATTGCAGAACGCGTGCGCCTTTCAGCGTGCCG
-AAGAACATAAACAGCGTAAATACGCCCCACAGACCCAGATAGACACCAAGGAACTGTGCATTTGGCGCAT
-CGGTCAGACCCAGTTTCGGCATCAGCAGAATCGCAACCAGCGTCAGCCAGAAAGAACCGTAAGAGGTGAA
-TGCGGTTAAACCGAAAGTGTTGCCTTTTTTGTACTCCAGCAGACCAGCAAAAATTTGCGCGATGCCGCCG
-TAGAAAATGCCCATGGCAAGAATAATACCGTCCAGAGCGAAATAACCCACGTTGTGCAGGTTAAGCAGAA
-TGGTGGTCATGCCGAAGCCCATCAGGCCCAGCGGTGCCGGATTAGCCAACTTAGTGTTGCCCATAATTCC
-TCAAAAATCATCATCGAATGAATGGTGAAATAATTTCCCTGAATAACTGTAGTGTTTTCAGGGCGCGGCA
-TAATAATCAGCCAGTGGGGCAGTGTCTACGATCTTTTGAGGGGAAAATGAAAATTTTCCCCGGTTTCCGG
-TATCAGACCTGAGTGGCGCTAACCATCCGGCGCAGGCAGGCGATTTGCAGTACGGCTGGAATCGTCACGC
-GATAGGCGCTGCCGCTGACCGCTTTAACCCCATTTAGTGCCGCACCTACAGGGCCTCCCAGCCCCGCGCC
-GCGCAGCAAACCATGCCCAAGTACGCTCATTGCTGCGTGGGTGCGTAAAATGCGGGTCAGTTGGCTGGAA
-AGCAAATGCGACACGCCTTTTGCCAATAATTTGTCTTTCATCAGCAGCGGCAGCAGCTCTTCCAGCTCAT
-TCACCCTCGCATCGACCGCGTGCAGAAACTCCTGTTTATGTTCCTCGTCCATATTCTTCCAGGTGTTACG
-CAGAAATTGTTCCAGTAACTGTTGCTCAATCTCAAACGTAGACATCTCTTTGTCGGCTTTCAGCTTCAAT
-CGTTTTGAAACATCGAGCAAAATGGCCCGATACAATTTACCGTGTCCGCGCAGTTTGTTGGCGATACTAT
-CGCCACCAAAATGCTGTAATTCTCCAGCAATCAGCTGCCAGTTGCGGCGATGTTGCTCGGGATGCCCTTC
-CATAGATTTAAACAGTTCGTTGCGCATCAGTACGCTGGAGAGGCGAGTTTTGCCTTTTTCATTATGGGTG
-AGCAATCGGGCGAAATTTGCCAACTGTTCCTCACTGCAATGCTGGAGAAAATCCAGATCTGAATCATTCA
-GGTAATTAACATTCATTTTTTGTGGCTTCTATATTCTGGCGTTAGTCGTCGCCGATAATTTTCAGCGTGG
-CCATATCCGATGAGTTCACCGTATGACCGGAAAAGGTGATTTTTGAGACGCAGCGTTTATTGTCGTTATC
-GCTGTTAATGTTGATCCAGTCAGTGGTTTGCCCTTCTTTTATTTCTGAAGGAATATTCAGGCTCTGACTG
-GCGCTACGGGCGGCTTTGAAATAAACCGATGCACCGCTTAACTGTAAATCGCCATGGTCGGCAGAGAGTT
-GTATGCGTTTAACAATTCGGCAAACAGGAAGTTTCAGCGCCAGATCGTTGGTTTCGTTACGTGGCATCGC
-AATGACGCCGAGGATTTTATGGTCGTTTGCCTGCGCCGTGCAGCACAGCATCAGACTAATCGCCAGGCTG
-GCGGAAATCGTAAAAACGGATTTCATAAGGATTCTCTTAGTGGGGAGAGGTAGGGGGATGGATACCCACT
-AGTTTACTGCTGATAAAGAGAAGATTCAGGTGCGTAATGTTTTCTTTTTATTACAATTTTTTGATGAATG
-TCTTGGCTGCGATTCATTCTTTATATGAATAAAATTGCTGTCAGTTTCACGTCTTGTCCTGCTATATCGC
-GAAATTTCTGCGCAAAAGCACAAAAAATTTTTGCATCTCCCCCTTGATGACGTGGGTTACGACCCCATTT
-AGTAGTCAACCGCAGTGAGTGAGTCTGCAAAAAAATGAAATTGGGCAGTTGAAACCAGACGTTTCGCCCC
-TATTACAGACTCACAACCACATGATGACCGAATATATAGTGGAGACGTTTAGATGGGTAAAATAATTGGT
-ATCGACCTGGGTACTACCAACTCTTGTGTAGCGATTATGGATGGCACCACTCCTCGCGTGCTGGAGAACG
-CCGAAGGCGATCGCACCACGCCTTCTATTATTGCCTATACCCAGGATGGTGAAACTCTGGTTGGTCAGCC
-GGCTAAACGTCAGGCAGTGACGAACCCGCAAAACACCCTGTTTGCGATTAAACGCCTGATTGGCCGCCGC
-TTCCAGGACGAAGAAGTACAGCGTGATGTTTCCATCATGCCGTTCAAAATTATTGCTGCTGATAACGGCG
-ACGCATGGGTCGAAGTTAAAGGCCAGAAAATGGCACCGCCGCAGATTTCTGCTGAAGTGCTGAAAAAAAT
-GAAGAAAACCGCTGAAGATTACTTGGGTGAACCGGTAACTGAAGCTGTTATCACCGTACCGGCATACTTT
-AACGATGCTCAGCGTCAGGCAACCAAAGACGCAGGCCGTATCGCTGGTCTGGAAGTAAAACGTATCATCA
-ACGAACCGACCGCAGCTGCGCTGGCTTACGGTCTGGACAAAGGTACTGGCAACCGTACTATCGCGGTTTA
-TGACCTGGGTGGTGGTACTTTCGATATTTCTATTATCGAAATCGACGAAGTTGACGGCGAAAAAACCTTC
-GAAGTTCTGGCTACCAACGGTGATACCCACCTGGGTGGTGAAGACTTCGACAGCCGTCTGATCAACTACC
-TGGTTGAAGAATTCAAGAAAGATCAGGGCATTGACCTGCGCAACGATCCGCTGGCAATGCAGCGCCTGAA
-AGAAGCGGCAGAAAAAGCGAAAATCGAACTGTCTTCCGCTCAGCAGACCGACGTTAACCTGCCGTACATC
-ACTGCAGATGCGACCGGTCCGAAACACATGAACATCAAAGTGACTCGTGCGAAACTGGAAAGCCTGGTTG
-AAGATCTGGTAAACCGTTCCATTGAGCCGCTGAAAGTTGCACTGCAGGACGCTGGCCTGTCCGTATCTGA
-TATCGACGACGTTATCCTCGTTGGTGGTCAGACTCGTATGCCAATGGTTCAGAAGAAAGTTGCTGAGTTC
-TTTGGTAAAGAGCCGCGTAAAGACGTTAACCCGGACGAAGCTGTAGCAATCGGTGCTGCTGTTCAGGGGG
-GTGTTCTGACTGGTGACGTGAAAGACGTACTGCTGCTGGACGTTACCCCGCTGTCTCTGGGTATCGAAAC
-CATGGGCGGTGTGATGACGACGCTGATCGCGAAAAACACCACTATCCCGACCAAGCACAGCCAGGTGTTC
-TCTACCGCTGAAGACAACCAGTCTGCGGTAACCATCCATGTGCTGCAGGGTGAACGTAAACGTGCGGCTG
-ATAACAAATCTCTGGGTCAGTTCAACCTGGATGGTATCAACCCGGCACCGCGCGGCATGCCGCAGATCGA
-AGTTACCTTCGATATCGATGCTGACGGTATCCTGCACGTTTCCGCGAAAGATAAAAACAGCGGTAAAGAG
-CAGAAGATCACCATCAAGGCTTCTTCTGGTCTGAACGAAGATGAAATCCAGAAAATGGTACGCGACGCAG
-AAGCTAACGCCGAAGCTGACCGTAAGTTTGAAGAGCTGGTACAGACTCGCAACCAGGGCGACCATCTGCT
-GCACAGCACCCGTAAGCAGGTTGAAGAAGCAGGCGACAAACTGCCGGCTGACGACAAAACTGCTATCGAG
-TCTGCACTGACTGCACTGGAAACTGCTCTGAAAGGTGAAGACAAAGCCGCTATCGAAGCGAAAATGCAGG
-AGCTGGCACAGGTTTCCCAGAAACTGATGGAAATCGCCCAGCAGCAACATGCCCAGCAGCAGACTGCCGG
-TGCTGATGCTTCTGCAAACAACGCGAAAGATGACGATGTTGTCGACGCTGAATTTGAAGAAGTCAAAGAC
-AAAAAATAATCGCCCTATAAACGGGTAATTATACTGACACGGGCGAAGGGGAATTTCCTCTCCGCCCGTG
-CATTCATCTAGGGGCAATTTAAAAAAGATGGCTAAGCAAGATTATTACGAGATTTTAGGCGTTTCCAAAA
-CAGCGGAAGAGCGTGAAATCAAAAAGGCCTACAAACGCCTGGCCATGAAATACCACCCGGACCGTAACCA
-GGGTGACAAAGAGGCCGAGGCGAAATTTAAAGAGATCAAGGAAGCTTATGAAGTTCTGACCGACTCGCAA
-AAACGTGCGGCATACGATCAGTATGGTCATGCTGCGTTTGAGCAAGGTGGTATGGGCGGCGGCGCAGACT
-TCAGCGATATTTTTGGTGACGTTTTCGGCGATATTTTTGGCGGCGGACGTGGTCGTCAACGTGCGGCGCG
-CGGTGCTGATTTACGCTATAACATGGAGCTCACCCTCGAAGAAGCTGTACGTGGCGTGACCAAAGAGATC
-CGCATTCCGACTCTGGAAGAGTGTGACGTTTGCCACGGTAGCGGTGCAAAACCAGGTACACAGCCGCAGA
-CCTGTCCGACCTGTCATGGTTCTGGTCAGGTGCAGATGCGTCAGGGATTCTTCGCTGTACAGCAGACCTG
-TCCACACTGTCAGGGCCGCGGTACGCTGATCAAAGATCCGTGCAACAAATGTCATGGTCATGGTCGTGTT
-GAGCGCAGCAAAACGCTGTCCGTTAAAATCCCGGCAGGGGTGGACACTGGAGACCGCATCCGTCTTGCGG
-GCGAAGGTGAAGCGGGCGAGCATGGCGCACCGGCAGGCGATCTGTACGTTCAGGTTCAGGTTAAACAGCA
-CCCGATTTTCGAGCGTGAAGGCAACAACCTCTATTGCGAAGTCCCGATCAACTTCGCTATGGCGGCGCTG
-GGTGGCGAAATCGAAGTACCGACCCTTGATGGTCGCGTCAAACTGAAAGTGCCTGGCGAAACCCAGACCG
-GTAAGCTTTTCCGTATGCGCGGTAAAGGCGTCAAGTCTGTCCGCGGTGGCGCACAGGGTGATTTGCTGTG
-CCGCGTTGTCGTCGAAACACCGGTAGGCCTGAACGAGAAGCAGAAACAGCTGCTGCAAGAGCTGCAAGAA
-AGCTTCGGTGGCCCAACCGGTGAGCACAACAGCCCGCGCTCAAAGAGCTTCTTTGATGGTGTGAAGAAGT
-TTTTTGACGACCTGACCCGCTAACCTCCCCAAAAGCCTGCCCGTGGGCAGGCTTGGGTAAAATTAGGGTG
-CGTTGAAGATATGCGAGCACCTGAAAAGTGGCGGGGATCACTCCCCGCCGTTGCACTTACTCGGATTCGT
-AAGCCGTGAAAACAGCAACCTCCGTCTGGCCAGTTCGGATGTGAACCTCACAGAGGTCTTTTCTCGTTAC
-CAGCGCCGCCACTACGGCGGTGATACAGATGACGATCAGGGCGACAATCATCGCCTTATGCTGCTTCATT
-GCTCTCTTCTCCTTGACCTTACGGTCAGTAAGAGGCACTCTACATGTGTTCAGCATATAGGGGGCCTCGG
-GTTGATAGTAAAATATCACTCGGGGCTTTTCTCTATCTGCCGTTCAGCTAATGCCTGAGACAGATAGCCT
-CAAGTACCCGCCGCTATTATATCGCTCTCTTTAACCCATTCTGTTTTATCGATTCTAATCCTGAAGACGC
-CTCGCATTTTTGTGGCGTAATTTTTTAATGATTTAATTATTTAACTTTAATTTATCTCTTTATCGCAATT
-ATTGACGACAAGCTGGATTATTTTTGAAATATTGTCCTAACAAATAACGCCGACTGACAAGAAATTAATT
-ATTACTTTTCCTAATTAATCCCTCAGAAATCCTCACCTTAAGCTATGATTATCTGGGCTTAGGGTCACTC
-GTGAGCGCTTACAGCCGTCAAAAACTCATCTCACCGCTGATGGCGCAAATTCTTCAATGGATCGTAAAAA
-ACGAGTTATTCCTACACTATAATCTGATTTTAACGATGATTTGTGCGGGGTAAAATAGTAAAAACGATCT
-ATTCACCTGAAAGAGAAATAAAAAGTGAAACATCTGCATCGATTCTTTAGCAGTGATGCCTCGGGAGGCA
-TTATTCTTATCATTGCCGCTATCCTGGCGATGATTATGGCCAATAGCGGCGCAACCAGTGGATGGTATCA
-CGACTTTCTGGAGACGCCGGTTCAGCTCCGGGTTGGTTCACTCGAAATCAACAAAAACATGCTGTTATGG
-ATAAATGACGCGCTGATGGCGGTATTTTTCCTGTTAGTCGGTCTGGAAGTTAAACGTGAACTGATGCAAG
-GATCGCTAGCCAGCTTACGCCAGGCCGCATTTCCAGTTATCGCCGCTATTGGTGGGATGATTGTTCCGGC
-ATTACTCTATCTGGCCTTTAACTATGCCGATCCGATTACCCGCGAAGGGTGGGCGATCCCGGCGGCTACT
-GACATTGCCTTTGCACTTGGTGTGCTGGCGCTGTTGGGAAGTCGTGTTCCGTTAGCGCTGAAGATCTTTT
-TGATGGCTCTGGCTATTATCGACGATCTTGGGGCCATCATTATCATCGCATTGTTCTACACTAATGACTT
-ATCGATGGCCTCTCTTGGCGTCGCGGCTGTAGCAATTGCGGTACTCGCGGTATTGAATCTGTGTGGTGTA
-CGCCGCACGGGCGTCTATATTCTGGTTGGCGTAGTGTTGTGGACTGCGGTGTTGAAATCGGGGGTTCACG
-CAACCCTGGCGGGGGTAATTGTCGGCTTCTTTATTCCTTTGAAAGAGAAGCATGGGCGTTCTCCAGCGAA
-GCGACTGGAGCATGTGTTACACCCGTGGGTGGCGTATCTGATTTTGCCGCTGTTTGCATTTGCTAATGCT
-GGCGTTTCACTGCAAGGTGTCACGCTGGATGGCTTGACCTCCATTCTGCCATTGGGGATCATCGCTGGCT
-TGCTGATTGGCAAACCGCTGGGGATTAGTCTGTTCTGCTGGTTGGCGCTGCGTTTGAAACTGGCGCATCT
-GCCTGAGGGAACGACTTATCAGCAAATTATGGCGGTGGGGATCCTGTGCGGTATCGGTTTTACTATGTCT
-ATCTTTATTGCCAGCCTGGCCTTTGGTAGCGTAGATCCAGAACTGATTAACTGGGCGAAACTCGGTATCC
-TGGTCGGTTCTATCTCTTCGGCGGTAATTGGATACAGCTGGTTACGCGTTCGTTTGCGTCCATCAGTTTG
-ACAGGACGGTTTACCGGGGAGCCATAAACGGCTCCCTTTTCATTGTTATCAGGGAGAGAAATGAGCATGT
-CTCATATCAATTACAACCACTTGTATTACTTCTGGCATGTCTATAAAGAAGGTTCCGTGGTTGGCGCAGC
-GGAGGCGCTTTATTTAACTCCACAAACCATTACCGGACAGATTCGAGCGCTGGAAGAGCGCCTGCAAGGC
-AAATTATTTAAACGCAAGGGACGTGGTCTCGAACCCAGCGAGCTGGGAGAACTGGTCTATCGCTATGCCG
-ATAAAATGTTCACCTTAAGCCAGGAAATGCTGGATATTGTGAACTATCGCAAAGAATCCAATTTATTGTT
-TGACGTTGGTGTGGCTGATGCACTTTCCAAACGCCTGGTCAGTAGCGTACTTAACGCCGCAGTGGTAGAA
-GGCGAGCCCATTCATCTTCGCTGCTTCGAATCCACCCACGAAATGCTGCTGGAGCAATTAAGTCAGCATA
-AACTGGATATGATCATTTCTGACTGTCCGATAGACTCTACGCAGCAGGAAGGCCTGTTCTCCGTGAGAAT
-TGGCGAATGTGGCGTGAGTTTCTGGTGTACAAATCCACCACCAGAAAAACCGTTCCCGGCTTGTCTGGAA
-GAACGGCGACTTTTGATTCCTGGGCGACGTTCAATGTTAGGGCGCAAATTGCTTAACTGGTTTAACTCCC
-AGGGATTAAACGTAGAAATCCTCGGCGAGTTTGATGATGCCGCGTTGATGAAAGCTTTTGGTGCGATGCA
-CAATGCAATCTTCGTTGCCCCAACGCTTTATGCATATGACTTTTATGCCGATAAAACTGTCGTAGAAATT
-GGTCGCGTCGAGAATGTGATGGAAGAGTACCATGCTATTTTTGCTGAGCGGATGATTCAGCACCCGGCGG
-TACAGCGAATCTGCAATACGGATTATTCTGCGCTTTTTAGTCCAGCGGCGCGTTAATCGGCACCTCCCCC
-CAAATTAAGGTGGGGGAGATAGATTAGTTGTACATAACCACGATTTTGACTCGGCTCATTATTTGCCCGC
-TTGAGACATTATTTCCATATGTACGCGGGCGAATAAATAGAGGAATCTGATTACTTCCTTCATGGGGATG
-CTGAAAAGAGTAGTAATTGCTTTTACCATACTGGATTTCATTCGTACCATCATTGGAGAGTTGAAAGCCT
-ATTTGACCCGCACCGTCCTCACTGTTTTCTAACTCATTTTTTAATATGCTGGTTCCTGACTCCTGTATCG
-TCACTGGTTCAAAGTAATATTCAACATCACTGGGTTCAAAAACTAATTCACCTTGCTCGCCCTGGATGCA
-GTCAAATCTTATATGATGAAACTGATAATTTTCATTATTGATACGAGACAGTACAAATCGTCCAGTGTCG
-ATGGATTGATCTTCAAAACCACAGGTCATTAAATTTACCTGTAAAATAGTATTTAAATTATAATTAAAGC
-GGACGCTATTACAATTAGTATTATTCCCTGTACATGAACTCACTTCAATTTCGAACAACAAAGGAAAAGG
-AGTTCCAGGAAAAATGTCTGCGGTGTTAGAACTATCTGATACAGATGCGATAGAATATGGAATGGTGAAA
-TTTATCGCAGATAGCATTTCTTCTAAATTATAAGATGACTTCCCTGGAAGCTCTATTTTTTTACCGTCAG
-ATTCAAAGGGGAAATTAATAATATAATGACGACTTCCGACTTTAAACCTTAAAGCGTTCTGTGTTAAAAA
-ATGAACTTTAATGGCGTTGGTTGTCTCTTGCAAGTCTGTACACTCAATGATATTTCCGGTGTTTTCAATT
-TTTTCGGCGGTTAGATTACCTTTCATACTCAGTGGCTTGAGTATATATGTTCCACGTTGTTCACCGACAT
-TGGTCAATGCACAGGGAGCACTTTGCACAATAAAAGAATATAGACTCAAGGTGATTAATAAAAGCCACTT
-CATAGTAAACTCCTTTTACTGGCATATATATGTTTTGTTTTCATCGATAACGTGTTGAAAAGTAATAGTA
-CAGAATAAGTTCTGTTCATCATTGAGAGCAACTTTTATGCCAGTGGGAATTTCATCTACGCGAATAAAAA
-GGCGACTACCCTGGCCAACGACTCCAATATTATTTTCCTGGAGATCCAGTACGTCATAGCCAAAGGTTAA
-TGGCGAACCATCGGGACGCAGTGCCTGTATATACCAGGGCTTACGTTGGTCAGTTGTAAACTGCACATAA
-GAAACTGCTCCACGGTAAGGTGCAATAATTTGACGATTGCCCTGCAATTCTGTTTCACTTTCACTGTTTG
-CTATATCAAGTACCAGATGGTTTTCACGATGAGGTATTATCAGGTCGTAAACAACCTGGCCTTTGCTGTT
-TGTTCGATTGTATTTTTGTCCATTAATATGTGCACCTTCTAACCCAGGCGCATCCAGAATTGCAAATGTA
-TCGGATAACTGGTTAGTGATATTAATACCACCGGGCCAGACAACTAATCCACTACTAATACTTCCACCAC
-TTTGCCAGGCGTTTTTAGAATGACTATAGCTGCCATCTATTATGGCGATGGGAGTTCTCCAGCTTAAATT
-CGTACCAAGCGAGGTATCATTATTTTGTTGTTGCTGATTAACATATATACCATAATTTAACTGATCATGT
-TCACCGGCTATGCCAGTAATTCTAGTATTGTTGGAGGAATAGCCATCTTTGGAAAATGAGGTCGAATTCG
-ATAAGTTAATTTGGTGACGTGTTTTGGCAATATCATCCCCCCAGTAGAAAGGAATGGAGATAAACAGATT
-AAAACGCTCCTCTTCTTTATTATTTTCATCATAAGATTGGCTGGCAGAGAAAGTATAACTAATGTGTTGC
-CAGTTATTGGAGTAACTGAATTGGTAATCTTTAGCATTTCCACTTCGCCCCCAGTAATTCCGCCAAAGCG
-CACTTAATGATACATTTCCCAGATTATTGGATAAAGGTTGCATAATATTAGCAGAAAGGCTATTTTTTCT
-GCCAATATCATAAAAATCATCATAATCACTCTGATGATAGTGTTTATCATTTTCGTAAAGATGGTCGCTG
-AATGTCCTGTAATCCTGCGAAGCATAACGCCAGGCGGCCACGCTAAATCGAGTGGCTGTTTGTACTAGAT
-ATTTATTATAGGCGACCTGATAGCTCGTACCTTCGTGTCTGGTATCATTATTTAACTTACTACTCGATCG
-GGCAGCGTAAAAAGAGATGGCACCCAGCGGTGTATTCCAACCATTTCCCAGAGTTATAGCATTATAGTTA
-TCGGATAAAATCGTACCCGATTATGTGATCAGGTTGTTATTATTTAGATTAATGTTTAAATTTTTTAATT
-TCTTGATGTGAAGTTGATGAAAGTTTGAAGATTTAATATTCTTAATTGTTCCCTTCTTTATAAGAAGAGC
-AAGGTGCCATCATTAGAGTGACAGAGTAGGATGTTTCAGAGCATGCTTCAGATTGTTTTTTATTCCTCTG
-TAGTGAATTAATAATCATCACAGTTAATTTCATTCTGAAATTACTTCTTTTTTGAGATTTTTTAATTTTG
-ATGAGCTATGTTTTTCATAAGGAACATACACTCGTTGATGCTTTTAAGGTATTTTCTCATTTCTGATGAT
-GTTTTGTCGTAATCGTGCATAAACTTATTAAGTTCTTTATACACATCATTATTTAGCTTTACATTGTCGC
-GAACTAAAGTTTGTACCAATGGTATCAAAATTTCGAAACGGGACGGTTTGTCATCAATACTTGCCAGGGT
-TTTGAATACTCCTGTGTATCTGTAACCTAAGTGCTTATTGACAAGTTGAGTGGTCCATCGACCAGGCATA
-ATATCTTCACAGAGCAAATTTTTTATTCTGGTATTAGTGAATGATGCTCCAAATATGTTGCTTTTTTTAA
-TGAAGAGATTATTAATTTCTCCATTTGAAAAGATGGTGTTTGATAAGTCGCTTTCAAAACATAATATATT
-GGGTAATACACAACCAAAATAATACCCATATGAAAGGTCGCTCTTTTCTATTGTTATATTTGATAGCAAC
-ATTTTATGTATATTAATATTAAGGGCAGTCAAATACTGGATGTTTTGCTCGTTAAGTTCATGCATCTCCA
-GAGATTTATTATAGGGTAATAAAAGTATAAATTCCTTTACATTATTTCCGCAGTAAGAAAAGACAACATC
-AAATTTATTGGTGATTGTGTTTTCAGTTGAGCAGTAAGCTGATTTTTTTATTAATCGACTGGGTATGCTT
-TTAAATAAAGATAATTTTTTACATAGTTGTGAATATGCAATATTGCTAGTTTTAAAGTTCTGCCACATTA
-TTCCCTGGTTATCATCTATCGATGAGGAGGGGATTTTATTGCATTGCTCATTGTATAGCTCAGGGAAAAT
-ATTTTTTTTAATAAGCTTTTTGATTTCCTGGTTAAGATGACTTTTTTTCTTGTCTATTGCACTGTATTTT
-GCGTTTTGTGACGTTTCCTGATGATCATAAAATGACTGGAGATTTCTGCAGGCCTCATAAAATATTTCAG
-GAGTATATAGCTGTGGGTATATTTCTTGGTTGAAGTTTGCCTTTAAAAAATTAACGAATTTTTCATGGCA
-TTCTTGGTATATCTTAATCTCTTCAGAAAGACATTCGCTTGTTCTGTCATCAAAAACATCCAATCTAAGT
-AATGTGATACCTTTGTGTTTAAAAAAATAAAATTGAACTGTATGTTCTATGAGTTTACATCTATAAAAAT
-ATGCATCTCTCAGATGAGTATATTGAAAAAAATGATGAAGGACTGGAGATGGTTTAGGCAAGTTATGGCT
-TCTAAAAAAGTCATCAAACAAAATTAAGAACTCTGTTTTATACTCGCAAAATACTTTTACTAACTCATTT
-TGTCTTGTTTTATTTATTATTACATCATCTACTATATTTGATTTATAAAGACAATGTGGCGAAGTTGAGA
-TACCATTTGTCATTATCAGTCCTTGAAGTTGATGAATTTTTATTAATTTAATTTATGAGTGAAAGTGACT
-ACTATCAAAAATAGCTCATTAATTTTATGAAGTAGAATATAAATAGGTATTTAACCTGTGTTGATTGTTG
-TTAATTATTTACAAGATCTAATAAGGAGATATTTATGAATGGTTAAAGTGTATAGGAATTTAATTCAAAA
-ATAGAGTGGTCTTAAGTTTAATACCTCAATGTGTATCACAATATCCACATTCTTTGTAGGGGAGTCTGGA
-GATTGAGTAGATATTCTTGTTCAGAATGTATCAGCCGATGGTTCTACGATTCTTAAGCCACGAAGAGTTC
-AGAAAGTGTAACGGCATGTCTGCAAAAGCCAGCATCTTTTGACTATCTGGCAACCGGTAGTGTGTTCTCT
-CACGCATCATAAAAGCAGCAGGCATAAAAAAACCCGCTTGCGCGGGCTTTTTCACAAAGCTTCAGCAAAT
-TGGCGATTAAGCCAGTTTGTTGATCTGTGCAGTCAGGTTAGCCTTATGACGTGCAGCTTTGTTTTTGTGG
-ATCAGACCTTTAGCAGCCTGACGGTCCACGATCGGTTGCATTTCGTTAAATGCTTTCTGTGCAGCAGCTT
-TGTCGCCAGCTTCGATAGCTGCGTATACTTTCTTGATGAAAGTACGCATCATAGAGCGACGGCTTGCGTT
-GTGCTTACGAGCCTTTTCAGACTGAATGGCGCGCTTCTTAGCTGATTTGATATTAGCCAAGGTCCAACTC
-CCAAATGTGTTCTATATGGACAATTCAAAGGCCGAGGAATATGCCCTTTTAGCCTTCTTTTGTCAATGGA
-TTTGTGCAAATAAGCGCCGTTAATGTGCCGGCACTCGTTACGTAGTGATGGCGCAGGATTCTACCAGCTT
-GCAGGGTGTGAATACAGCTTTTCCGCGATAAAAATTGCAGCAGGCGGTCACTTTCTTCCCGTGATTTGCG
-CCATGGCAATGAAAAGCCACTTCTTTCTGATTTCGGTACTCAATCGCCGGTTAACCTTGACCGCTGTACT
-AAGGTATACTCGGACGATTTTCACTGTTTTGAGCCAGACATGAAGCTGATACGCGGCATACATAATCTCA
-GCCAGGCCCCGCAAGAAGGGTGTGTGCTGACTATTGGTAATTTCGACGGCGTGCATCGCGGTCATCGCGC
-GCTGTTACAGGGCTTGCAGGAAGAAGGGCGCAAGCGCAACTTACCGGTGATGGTGATGCTTTTTGAACCT
-CAACCACTGGAACTGTTTGCTACCGATAAAGCCCCGGCACGGCTGACCCGGCTGCGGGAAAAACTGCGTT
-ACCTTGCAGAGTGTGGCGTTGATTACGTGCTGTGCGTGCGTTTCGACAGGCGTTTCGCGGCGTTAACCGC
-GCAAAATTTCATCAGCGATCTTCTGGTGAAGCATTTGCGCGTAAAATTTCTTGCCGTAGGTGATGATTTC
-CGCTTTGGCGCTGGTCGTGAAGGCGATTTCTTGTTATTACAGAAAGCTGGCATGGAATACGGCTTCGATA
-TCACCAGTACGCAAACTTTTTGCGAAGGTGGCGTGCGTATCAGCAGCACCGCTGTGCGTCAGGCGCTGGC
-GGATGACAATCTGGCTCTGGCAGAAAGTTTACTGGGGCACCCGTTTGCCATCTCCGGGCGTGTAGTCCAC
-GGTGATGAATTAGGGCGCACTATAGGTTTCCCGACGGCGAATGTACCGCTACGCCGTCAGGTTTCCCCGG
-TGAAAGGGGTTTATGCGGTAGAAGTGCTGGGCCTCGGTGAAAAGCCGTTACCCGGCGTGGCAAACATTGG
-AACACGCCCAACGGTTGCCGGTATTCGCCAGCAGCTGGAAGTGCATTTGTTAGATGTTGCAATGGACCTT
-TACGGTCGCCATATACAAGTAGTGCTGCGTAAAAAAATACGCAATGAGCAGCGATTTGCGTCGCTGGACG
-AACTGAAAGCGCAGATTGCGCGTGATGAATTAACCGCCCGCGAATTTTTTGGGCTAACAAAACCGGCTTA
-AGCCTGTTATGTAATCAAACCGAAACACGGAACCGAGAATCTGATGAGTGACTATAAATCAACCCTGAAT
-TTGCCGGAAACAGGGTTCCCGATGCGTGGCGATCTCGCCAAGCGCGAACCGGGAATGCTGGCGCGTTGGA
-CTGATGATGATCTGTACGGCATCATCCGTGCGGCTAAAAAAGGCAAAAAAACCTTCATTCTGCATGATGG
-CCCTCCTTATGCGAATGGCAGCATTCATATTGGTCACTCGGTTAACAAGATTCTGAAAGACATTATCGTG
-AAGTCCAAAGGGCTTTCCGGTTATGACTCGCCGTATGTGCCTGGCTGGGACTGCCACGGTCTGCCGATCG
-AGCTGAAAGTAGAGCAAGAATACGGTAAGCCGGGTGAGAAATTCACCGCCGCCGAGTTCCGCGCCAAGTG
-CCGCGAATACGCGGCGACCCAGGTTGACGGTCAACGCAAAGACTTTATCCGTCTGGGCGTGCTGGGCGAC
-TGGTCGCACCCGTACCTGACCATGGACTTCAAAACTGAAGCCAACATCATCCGCGCGCTGGGCAAAATCA
-TCGGCAACGGTCACCTGCACAAAGGCGCGAAGCCAGTTCACTGGTGCGTTGACTGCCGTTCTGCGCTGGC
-GGAAGCGGAAGTTGAGTATTACGACAAAACTTCTCCGTCCATCGACGTTGCTTTTCAGGCGGTCGATCAG
-GATGCACTGAAAGCAAAATTTGCCGTAAGCAACGTTAACGGCCCAATCTCGCTGGTGATCTGGACCACTA
-CGCCGTGGACTCTGCCTGCGAACCGCGCAATCTCTATTGCACCTGATTTCGACTATGCGCTGGTGCAGAT
-CGACGGTCAGGCCGTGATTCTGGCGAAAGATCTGGTTGAAAGCGTAATGCAGCGTATCGGCGTGACCGAT
-TACACCATTCTCGGCACGGTAAAAGGTGCGGAGCTTGAGTTGCTGCGCTTTACCCATCCGTTTATGGGCT
-TCGACGTTCCGGCAATCCTCGGCGATCACGTTACCCTGGATGCCGGTACCGGTGCCGTTCACACCGCGCC
-TGGCCACGGCCCGGACGACTATGTGATCGGTCAGAAATACGGCCTGGAAACCGCTAACCCGGTTGGCCCG
-GACGGCACTTATCTGCCGGGCACTTATCCGACGCTGGATGGCGTGAACGTCTTCAAAGCGAACGACATCG
-TCGTTGCGCTGCTGCAGGAAAAAGGCGCGCTGCTGCACGTTGAGAAAATGCAGCACAGCTATCCGTGCTG
-CTGGCGTCACAAAACGCCGATCATCTTCCGCGCGACGCCGCAGTGGTTCGTCAGCATGGATCAGAAAGGT
-CTGCGTGCGCAGTCACTGAAAGAGATCAAAGGCGTGCAGTGGATCCCGGACTGGGGCCAGGCGCGTATCG
-AGTCGATGGTTGCTAACCGTCCTGACTGGTGTATCTCCCGTCAGCGCACCTGGGGCGTACCGATGTCACT
-GTTCGTGCACAAAGACACGGAAGAGCTGCATCCGCGTACTCTCGAACTAATGGAAGAAGTGGCAAAACGC
-GTTGAAGTTGACGGCATCCAGGCGTGGTGGGATCTTGATGCGAAAGAGATCCTCGGCGATGAAGCTGATC
-AGTACGTGAAAGTGCCGGACACATTGGATGTATGGTTTGACTCCGGATCTACCCACTCTTCTGTTGTTGA
-CGTGCGTCCGGAATTTGCCGGTCACGCAGCGGACATGTATCTGGAAGGTTCTGACCAGCACCGTGGTTGG
-TTCATGTCTTCCCTAATGATCTCCACCGCGATGAAAGGCAAAGCGCCGTATCGTCAGGTACTGACCCACG
-GCTTTACCGTGGATGGTCAGGGTCGCAAGATGTCTAAATCCATCGGCAATACCGTTTCGCCGCAGGATGT
-GATGAACAAACTGGGCGCGGATATTCTGCGTCTGTGGGTGGCATCAACCGACTACACCGGTGAAATGGCC
-GTTTCTGACGAGATCCTGAAACGTGCTGCCGATAGCTATCGTCGTATCCGTAACACCGCGCGCTTCCTGC
-TGGCAAACCTGAACGGTTTTGATCCAGCAAAAGATATGGTGAAACCGGAAGAGATGGTGGTACTGGATCG
-CTGGGCCGTAGGTTGTGCGAAAGCGGCACAGGAAGACATCCTCAAGGCGTACGAAGCATACGATTTCCAC
-GAAGTGGTACAGCGTCTGATGCGCTTCTGCTCCGTTGAGATGGGTTCCTTCTACCTCGACATCATCAAAG
-ACCGTCAGTACACCGCCAAAGCGGACAGCGTGGCTCGTCGTAGCTGCCAGACTGCGCTGTATCACATCGC
-TGAAGCGCTGGTGCGCTGGATGGCACCAATCCTCTCCTTCACCGCTGATGAAGTGTGGGGCTATATGCCG
-GGCGAACGTGAAAAATACGTCTTTACCGGTGAGTGGTACGAAGGCCTGTTTGGTCTGGCAGACAGTGAAG
-CGATGAACGATGCGTTCTGGGACGAGCTGTTGAAAGTGCGTGGCGAAGTGAACAAAGTCATTGAGCAAGC
-GCGTGCCGATAAGAAAGTGGGTGGCTCGCTGGAAGCGGCAGTAACCTTGTATGCAGAACCGGAACTGGCG
-GCGAAACTGACCGCGCTGGGCGATGAATTACGATTTGTCCTGTTGACCTCCGGCGCTACCGTTGCAGACT
-ATAATGACGCACCTGCTGATGCTCAGCAGAGCGAAGTACTCAAAGGGCTGAAAGTCGCGTTGAGTAAAGC
-CGAAGGTGAGAAGTGCCCACGCTGCTGGCACTACACCCAGGATGTCGGCAAGGTGGCGGAACACGCAGAA
-ATCTGCGGCCGCTGTGTCAGCAACGTCGCCGGTGACGGTGAAAAACGTAAGTTTGCCTGATGAGTCAATC
-GATCTGTTCAACAGGGCTACGCTGGCTGTGGCTGGTGGTAGTCGTGCTGATTATCGATCTGGGCAGCAAA
-TACCTGATCCTCCAGAACTTTGCTCTGGGGGATACGGTCCCGCTGTTCCCGTCGCTTAATCTGCATTATG
-CGCGTAACTATGGCGCGGCGTTTAGTTTCCTTGCCGATAGCGGCGGCTGGCAGCGTTGGTTCTTTGCCGG
-TATTGCGATTGGTATTAGCGTGATCCTGGCAGTGATGATGTATCGCTCGAAGGCCACGCAGAAGCTAAAC
-AATATCGCTTATGCGCTGATTATTGGCGGCGCGCTGGGCAACCTGTTCGACCGCCTGTGGCACGGCTTCG
-TTGTCGATATGATCGACTTCTACGTCGGCGACTGGCACTTCGCCACCTTCAACCTTGCCGATACTGCCAT
-TTGTGTCGGTGCGGCACTGATTGTGCTGGAAGGTTTTTTGCCTTCTAAAGCGAAAAAACAATAATAAACC
-CTGCCGGATAAGGCCTACAGATTGCTGCGAAATCGTAGGCCGCATCCGGCAAAAATCCTCAAAATATAAG
-AGCAAACCTGCATGTCTGAATCTGTACAGAGCAATAGCGCCGTCCTGGTGCACTTCACGCTGAAACTCGA
-TGATGGCACCACCGCTGAGTCTACCCGCAACAACGGTAAACCGGCGCTGTTCCGCCTGGGCGATGCTTCT
-CTTTCTGAAGGGCTGGAGCAACACCTGTTGGGGCTGAAAGTGGGCGATAAAACCACCTTCTCGCTGGAGC
-CCGATGCGGCGTTTGGCGTGCCGTCACCGGACCTGATTCAGTACTTCTCCCGCCGTGAATTTATGGATGC
-AGGCGAGCCAGAAATTGGCGCAATTATGCTTTTTACCGCAATGGATGGCAGTGAGATGCCTGGCGTGATC
-CGCGAAATTAACGGCGACTCCATTACCGTTGATTTCAACCATCCGCTGGCCGGGCAGACCGTTCATTTTG
-ATATTGAAGTGCTGGAAATCGATCCGGCACTGGAGGCGTAACATGCAGATCCTGTTGGCCAACCCGCGTG
-GTTTTTGTGCCGGGGTAGACCGCGCTATCAGCATTGTTGAAAACGCGCTGGCCATTTACGGCGCACCGAT
-ATATGTCCGTCACGAAGTGGTACATAACCGCTATGTGGTCGATAGCTTGCGTGAGCGTGGGGCTATCTTT
-ATTGAGCAGATTAGCGAAGTACCGGACGGCGCGATCCTGATTTTCTCCGCACACGGTGTTTCTCAGGCGG
-TACGTAACGAAGCAAAAAGTCGCGATTTGACGGTATTTGACGCGACCTGTCCGCTGGTGACCAAAGTGCA
-TATGGAAGTCGCCCGCGCCAGTCGCCGTGGCGAAGAATCTATTCTCATCGGTCACGCCGGGCACCCGGAA
-GTGGAAGGGACAATGGGCCAGTACAGTAACCCGGAAGGGGGAATGTATCTGGTCGAATCGCCGGACGATG
-TGTGGAAACTGACGGTCAAAAACGAAGAGAAGCTCTCCTTTATGACCCAGACCACGCTGTCGGTGGATGA
-CACGTCTGATGTGATCGACGCGCTGCGTAAACGCTTCCCGAAAATTGTCGGTCCGCGCAAAGATGACATC
-TGCTACGCCACGACTAACCGTCAGGAAGCGGTACGCGCCCTGGCAGAACAGGCGGAAGTTGTGTTGGTGG
-TCGGTTCGAAAAACTCCTCCAACTCCAACCGTCTGGCGGAGCTGGCCCAGCGTATGGGCAAACGCGCGTT
-TTTGATTGACGATGCGAAAGATATCCAGGAAGAGTGGGTGAAAGAGGTTAAATGCGTCGGCGTGACTGCG
-GGCGCATCGGCTCCGGATATTCTGGTGCAGAATGTGGTGGCACGTTTGCAGCAGCTGGGCGGTGGTGAAG
-CCATTCCGCTGGAAGGCCGTGAAGAAAACATTGTTTTCGAAGTGCCGAAAGAGCTGCGTGTCGATATTCG
-TGAAGTCGATTAAGTCATTAGCAGCCTAAGTTATGCGAAAATGCCGGTCTTGTTACCGGCATTTTTTATG
-GAGAAAACATGCGTTTACCTATCTTCCTCGATACTGACCCCGGCATTGACGATGCCGTCGCCATTGCCGC
-CGCGATTTTTGCACCCGAACTCGACCTGCAACTGATGACCACCGTCGCGGGTAATGTCTCGGTTGAGAAA
-ACTACCCGCAATGCCCTGCAACTGCTGCATTTCTGGAATGCGGAGATTCCGCTCGCCCAAGGGGCCGCTG
-TGCCGCTGGTACGCGCACCGCGTGATGCGGCATCTGTGCACGGCGAATCGGGAATGGCTGGCTACGACTT
-TGTTGAGCACAACCGAAAGCCGCTCGGGATACCGGCGTTTCTGGCGATTCGGGATGCCCTGATGCGTGCA
-CCAGAGCCTGTTACCCTGGTGGCCATCGGCCCGTTAACCAATATTGCGCTGTTACTTTCACAATGCCCGG
-AATGCAAGCCGTATATTCGCCGTCTGGTGATCATGGGTGGTTCTGCCGGACGCGGCAACTGTACGCCAAA
-CGCCGAGTTTAATATTGCTGCCGATCCAGAAGCTGCTGCCTGTGTCTTCCGCAGTGGTATTGAAATCGTC
-ATGTGCGGTTTGGATGTCACCAATCAGGCAATATTAACTCCTGACTATCTCTCTACACTGCCGCAGTTAA
-ACCGTACCGGGAAAATGCTTCACGCCCTGTTTAGCCACTACCGTAGCGGCAGTATGCAAAGCGGCTTGCG
-AATGCACGATCTCTGCGCCATCGCCTGGCTGGTGCGCCCGGACCTGTTCACTCTCAAACCCTGTTTTGTG
-GCAGTGGAAACTCAGGGCGAATTTACCTCAGGCACGACGGTGGTTGATATCGACGGTTGCCTGGGCAAGC
-CAGCCAATGTACAGGTGGCATTGGATCTGGATGTGAAAGGCTTCCAGCAGTGGGTGGCTGAGGTGCTGGC
-TCTGGCGTCGTAACCTGTCACATGTTATTGGCATGCAGTCATTCATCGACTCATGCCTTTCACTGATATC
-CCTCCCTGTTTATCATTAATTTCTAATTATCAGCGTTTTTGGCTGGCGGCGTAGCGATGCGCTGGTTACT
-CTGAAAACGGTCTATGCAAATTAACAAAAGAGAATAGCTATGCATGATGCAAACATCCGCGTTGCCATCG
-CGGGAGCCGGGGGGCGTATGGGCCGCCAGTTGATTCAGGCGGCGCTGGCATTAGAAGGCGTGCAGCTGGG
-CGCGGCGCTGGAGCGCGAAGGATCTTCTTTACTGGGCAGCGACGCCGGTGAGCTGGCTGGTGCAGGGAAA
-ACAGGCGTTACCGTGCAAAGCAGCCTCGATGCGGTAAAAGATGATTTTGATGTGTTTATCGATTTTACCC
-GTCCGGAAGGTACGCTGAACCATCTCGCTTTTTGTCGCCAGCATGGCAAAGGGATGGTGATCGGCACTAC
-GGGGTTTGACGAAGCCGGTAAACAGGCGATTCGTGACGCCGCCGCCGATATTGCGATTGTCTTTGCCGCC
-AATTTTAGCGTTGGCGTTAACGTCATGCTTAAGCTGCTGGAGAAAGCAGCCAAAGTGATGGGTGACTACA
-CCGATATCGAAATTATTGAAGCACATCATAGACATAAAGTTGATGCGCCGTCAGGCACCGCACTGGCAAT
-GGGAGAGGCGATCGCCCACGCCCTTGATAAAGATCTGAAAGATTGCGCGGTCTACAGTCGTGAAGGCCAC
-ACCGGTGAACGTGTGCCTGGCACCATTGGTTTTGCCACCGTGCGTGCAGGTGACATCGTTGGCGAACATA
-CCGCGATGTTTGCCGATATTGGCGAGCGTCTGGAGATCACCCATAAGGCGTCCAGCCGCATGACATTTGC
-TAACGGCGCGGTAAGATCGGCTTTGTGGTTGAGTGGTAAGGAAAGTGGTCTTTTTGATATGCGAGATGTG
-CTTGATCTCAATAGTTTGTAACCACAAAATATTTGTTATGGTGCAAAAATAACACATTTAATTTATTGAT
-TGTAAAGGGCTTTAATTTTTGGCCCTTTTATTTTTAGTGTTATGTTTTTAAATTGTCTATAAGTGCCAAA
-AATTACATGTTTTGTCTTCGGTTTTTGTTGTTTTAATGTAAATTTTGACCATTTGGTCCACTTTTCCCTA
-CTCGCTTTTATTTCATGCAATCTTCTTGCTGCGCAAGCGTTTTCCAGAACAGGTTATATGATCTTTTTGC
-CGCTTAATGCCTGTAAAACATGCATGAGCCACAAAATAATATAAAAAATCCCGCCATTAAGTTGACTTTT
-AGCGCCCATATCTCCAGAATGCCGCCGTTTGCCAGAAATTCGTCGGTAAGCAGATTTGCATTGATTTACG
-TCATCATTGTGAATTAATATGCAAATAAAGTGAGTGAATATTCTCTGGAGGGTGTTTTGATTAAGTCAGC
-GCTATTGGTTCTGGAAGACGGAACCCAGTTTCACGGTCGGGCCATAGGGGCAACAGGTTCGGCGGTTGGG
-GAAGTCGTTTTCAATACTTCAATGACCGGTTATCAAGAAATCCTCACTGATCCTTCCTATTCTCGTCAAA
-TCGTTACTCTTACTTATCCCCATATTGGCAATGTCGGCACTAATGACGCCGATGAAGAATCTTCTCAGGT
-ACATGCACAAGGTCTGGTGATTCGCGACCTGCCGCTGATTGCCAGCAACTTCCGTAATACCGAAGACCTC
-TCTTCTTACCTGAAGCGCCATAACATCGTGGCGATTGCCGATATCGATACCCGTAAGCTGACGCGTTTAC
-TGCGCGAGAAAGGCGCACAGAATGGCTGCATTATCGCAGGCGATAACCCGGATGCGGCGTTGGCGTTAGA
-AAAAGCCCGCGCGTTCCCAGGTCTGAATGGCATGGATCTGGCAAAAGAAGTGACCACCGCAGAAGCCTAT
-AGCTGGACACAAGGGAGCTGGACGTTGACCGGCGGCCTGCCAGAAGCGAAAAAAGAAGACGAGCTGCCGT
-TCCACGTCGTGGCTTATGATTTTGGTGCCAAGCGCAACATCCTGCGCATGTTGGTGGACAGAGGCTGTCG
-CCTGACCATCGTTCCGGCGCAAACTTCTGCGGAAGATGTGCTGAAAATGAATCCAGACGGCATCTTCCTC
-TCCAACGGTCCTGGCGACCCGGCCCCGTGCGATTACGCCATTACCGCCATCCAGAAATTCCTCGAAACCG
-ATATTCCGGTCTTCGGCATCTGCCTCGGTCATCAGCTGCTGGCGCTGGCGAGCGGTGCGAAGACTGTCAA
-AATGAAATTTGGTCACCACGGCGGCAACCATCCGGTTAAAGATGTTGAGAAAAACGTGGTGATGATCACC
-GCCCAGAACCACGGTTTTGCGGTGGACGAAGCAACATTACCAGCAAACCTGCGTGTCACGCATAAATCCC
-TGTTCGACGGTACGTTACAGGGCATTCATCGCACCGATAAACCGGCGTTCAGCTTCCAGGGGCACCCTGA
-AGCCAGCCCTGGTCCACACGACGCCGCGCCGTTGTTCGACCACTTTATCGAGTTAATTGAGCAGTACCGT
-AAAACCGCTAAGTAATCAGGAGTAAAAGAGCCATGCCAAAACGTACAGATATAAAAAGTATCCTGATTCT
-GGGTGCGGGCCCGATTGTTATCGGTCAGGCGTGTGAGTTTGACTACTCTGGCGCGCAAGCATGTAAAGCC
-CTGCGCGAAGAGGGTTACCGGGTCATTCTGGTGAACTCCAACCCGGCGACCATCATGACCGACCCGGAAA
-TGGCCGATGCGACCTACATCGAGCCGATTCACTGGGAAGTGGTACGCAAGATTATTGAAAAAGAGCGCCC
-GGACGCGGTGCTGCCAACGATGGGCGGTCAGACGGCGCTGAACTGCGCGCTGGAGCTGGAGCGTCAGGGC
-GTGTTGGAAGAGTTCGGCGTGACTATGATTGGTGCGACCGCCGATGCGATTGATAAAGCAGAAGACCGCC
-GTCGTTTCGACGTAGCGATGAAGAAAATTGGTCTGGAAACCGCGCGTTCCGGTATCGCACACACGATGGA
-AGAAGCGCTGGCGGTTGCCGCTGACGTGGGCTTCCCGTGCATTATTCGCCCATCCTTTACCATGGGCGGT
-AGCGGCGGCGGTATCGCTTATAACCGCGAAGAGTTTGAAGAAATTTGCGCCCGCGGTCTGGATCTCTCTC
-CGACCAAAGAGTTGCTGATTGATGAGTCGCTGATTGGCTGGAAAGAGTACGAGATGGAAGTGGTGCGTGA
-TAAAAACGACAACTGCATCATCGTCTGCTCTATCGAAAACTTTGATGCGATGGGCATCCATACCGGTGAC
-TCCATCACTGTCGCGCCAGCCCAAACGCTGACCGACAAAGAATATCAAATCATGCGTAACGCCTCGATGG
-CGGTGCTGCGTGAAATCGGCGTTGAAACCGGTGGTTCCAATGTCCAGTTTGCGGTGAACCCGAAAAACGG
-TCGCCTGATTGTTATCGAAATGAACCCGCGCGTGTCCCGTTCTTCGGCGCTGGCGTCGAAAGCGACCGGT
-TTCCCGATTGCTAAAGTGGCGGCGAAACTGGCGGTGGGTTACACCCTCGACGAACTGATGAACGACATCA
-CTGGCGGACGTACTCCGGCCTCCTTCGAGCCGTCCATCGACTATGTGGTTACTAAAATTCCTCGCTTCAA
-CTTCGAAAAATTCGCTGGTGCTAACGACCGTCTGACCACTCAGATGAAATCGGTTGGCGAAGTGATGGCG
-ATTGGTCGCACGCAGCAGGAATCCCTGCAAAAAGCGCTGCGCGGCCTGGAAGTCGGTGAGACTGGATTCG
-ACCCGAAAGTGAGCCTCGATGACCCGGAAGCGTTAACCAAAATCCGTCGCGAACTGAAAGATGCTGGCGC
-AGAGCGTATCTGGTACATCGCCGATGCCTTCCGTGCGGGCCTGTCTGTGGACGGCGTGTTCAACCTGACC
-AATATTGACCGCTGGTTCCTGGTACAGATTGAAGAACTGGTGCGTCTGGAAGAGAAAGTAGCGGAAGTGG
-GCATCACTGGCCTGAACGCTGAATTCCTGCGCCAGCTGAAACGCAAAGGCTTTGCCGATGCGCGTCTGGC
-AAAACTGGCGGGCGTGCGCGAAGCGGAAATCCGCAAGCTGCGCGACCAGTATGACCTGCACCCGGTTTAT
-AAGCGCGTGGATACCTGTGCGGCAGAGTTCGCCACCGACACCGCTTACATGTACTCCACTTATGAAGAAG
-AGTGCGAAGCGAATCCGTCTACCGACCGTGAAAAAATCATGGTTCTCGGCGGCGGCCCGAACCGTATCGG
-TCAGGGTATCGAATTCGACTACTGCTGTGTACACGCCTCGCTGGCACTGCGCGAAGACGGTTACGAAACC
-ATTATGGTTAACTGTAACCCGGAAACCGTCTCCACCGACTACGACACTTCCGATCGCCTCTACTTCGAGC
-CGGTAACACTGGAAGATGTGCTAGAAATCGTGCGTATTGAGAAGCCGAAAGGCGTTATCGTTCAGTACGG
-CGGTCAGACCCCGCTGAAACTGGCGCGCGCGCTGGAAGCTGCTGGCGTACCGGTTATCGGCACCAGCCCG
-GATGCTATCGACCGTGCAGAAGACCGTGAACGCTTCCAGCATGCGGTTGAGCGTCTGAAACTGAAACAAC
-CGGCGAACGCCACCGTTACCGCTATTGAAATGGCGGTAGAGAAGGCGAAAGAGATTGGCTACCCGCTGGT
-GGTACGTCCGTCTTACGTTCTCGGCGGTCGGGCGATGGAAATCGTCTATGACGAAGCTGACCTGCGTCGC
-TACTTCCAGACGGCGGTCAGCGTGTCTAACGATGCGCCAGTGTTGCTGGATCACTTCCTTGATGACGCGG
-TAGAAGTTGACGTGGATGCCATCTGCGACGGCGAAATGGTGCTGATTGGCGGCATCATGGAGCACATCGA
-GCAGGCGGGCGTGCACTCCGGTGACTCCGCATGTTCTCTGCCAGCCTACACCTTAAGTCAGGAAATTCAG
-GATGTGATGCGCCAGCAGGTGCAGAAACTGGCCTTCGAATTGCAGGTGCGCGGTCTGATGAACGTGCAGT
-TTGCGGTGAAAAACAACGAAGTCTACCTGATTGAAGTTAACCCGCGTGCGGCGCGTACCGTTCCGTTCGT
-CTCCAAAGCCACCGGCGTACCGCTGGCAAAAGTGGCGGCGCGTGTGATGGCTGGCAAATCGCTGGCTGAG
-CAGGGCGTAACCAAAGAAGTTATCCCGCCGTACTACTCGGTGAAAGAAGTGGTGCTGCCGTTCAATAAAT
-TCCCGGGTGTTGACCCGCTGTTAGGGCCAGAAATGCGCTCCACCGGGGAAGTGATGGGCGTGGGCCGCAC
-CTTCGCTGAAGCGTTTGCCAAAGCGCAGCTGGGCAGCAACTCCACCATGAAGAAACACGGTCGTGCGTTG
-CTTTCCGTGCGCGAAGGCGATAAAGAACGCGTGGTGGACCTGGCGGCAAAACTGCTGAAACAGGGCTTCG
-AGCTGGATGCGACCCACGGCACGGCGATTGTGCTGGGCGAAGCGGGCATTAATCCGCGTCTGGTGAACAA
-GGTGCATGAAGGCCGTCCGCACATTCAGGACCGCATCAAGAATGGCGAATATACCTACATCATCAACACC
-ACTTCAGGCCGTCGTGCGATTGAAGACTCCCGCGTGATCCGTCGCAGTGCGCTGCAATATAAAGTGCATT
-ATGACACCACCCTGAACGGTGGTTTCGCTACCGCGATGGCGCTGAATGCCGACGCGACCGAAAAAGTAAT
-TTCGGTGCAGGAAATGCACGCGCAGATCAAATAATAGCGTGTCATGGCGGATATTTTTCATCCGCTAATT
-TGATCGAATAAGTAATACGGTTCTCTGATGAGGACCGTTTTTTTTGCCCATTAAGTAAATCTTTTGGGGA
-ATCGATATTTTTGATGACATAAGCAGGATTTAGCTCACACTTATCGACGGTGAAGTTGCATACTATCGAT
-ATATCCACAATTTTAATATGGCCTTGTTTAATTGCTTCAAAACGAGTCATAGCCAGACTTTTAATTTGTG
-AAACTGGAGTTCGTATGTGTGAAGGATATGTTGAAAAACCACTCTACTTGTTAATCGCCGAATGGATGAT
-GGCTGAAAATCGGTGGGTGATAGCAAGAGAGATCTCTATTCATTTCGATATTGAACACAGCAAGGCGGTT
-AATACCCTGACTTATATTCTGTCGGAAGTCGCAGAAATAAGCTGCGAAGTTAAGATGATCCCTAATAAGC
-TGGAAGGACGGGGATGCCAGTGCCAGCGACTGGTAAAAGTGGTCGATATCGATGAGCAAATTTACGCGCG
-CCTGCGCAATAACAGCCGGGATAAATTAGTCGGCGTAAGAAAGACGCCGCGTATTCCTGCCGTTCCGCTC
-ACGGAACTTAACCGCGAGCAGAAGTGGCAGATGATGTTGTCAAAGAGTATGCGTCGTTAATTTTATCTCG
-TTGATACCGGGCGTCCTGCTTGCCAGATGCGATGTTGTAGCATCTTATCCAGCAACCAGGTCGCATCCGG
-CAAGATCACCGTTTAGGCGTCACATCCGTCGTCCCCTGCAAACGGGGGCGATTTTCCTCCATTTGCCTCA
-GTGGCTGTGTTTCATGTAACGATGCATGACAGCGCCCGACAAGATCCTGATACTCTTTGGTATTCAACCG
-TTTCCAGTGTAACTCGTCGTCACTAACACTGCGTACAGCGCGGGCTGGCGTACCCATCAACAACTGGCGT
-TTCTCGCCGTGAAAGCCTGCTTTGACAAAGCTCATGGCGGCAACAATGCTCTCTTCGCCAATGACCGCGC
-CATCCATAATCACGCTGTTCATCCCGACCAATGCATCGCGACCAATCACACAACCATGCAGGATCGCTCC
-GTGCCCGATATGGCCGTTTTCCCCAACGATGGTGTCAGTGTCGCAGTAGCCATGCATAATGCAGCCATCC
-TGAATATTGGCTCCCGCTTGCACGATCAACCGCCCGTAGTCACCACGCAGTGAGGCGAGTGGGCCGATGT
-AGACACCGGCTCCCACAATCACATCGCCAATCAAGACGGCACTGGGATGGACAAACGCCGTCGGGTGAAC
-CACCGGAATTAACCCCTCAAAGGCGTAATAGCTCACGGTTGTTAACGTCCTTTCCACACCGGATCGCGCT
-TCTCGGCAAACGCCAGCGGCCCTTCAATGGCATCCTCCGAATGCAGAACCGACGGATAGTGTTTCAACAC
-GCCGCTGCGAATATAGCGATACGCTTCTTCTACCGGCATTTCGCTGGTGGTGCGGAAGATCTCTTTCAGC
-GCCGCAATCGCCAGCGGGGCGCTGTTAACCAGCTGCTGCGCCAGTTCGCGGGCGTTATCCATCAGTTCCG
-CCTGGCTAACCACGCGGTTGACTATCCCCCAACGCAGCGCCTCTTCTGCGCCCATTCGTCTGCCGGTCAT
-CACCATTTCATTGACGATGGCAGGCGGCAGGATCTTCGGTAGACGCAGCACGCCGCCGCTGTCAGGAACG
-ATGCCCAGCTTGGCTTCCGGCAGGGCGAAGCTGGCGTTATCGGCACAAACAATAAAATCTGCCGCCAGCG
-CCAGTTCGAAACCGCCGCCAAAGGCATAGCCGTTCACAGCTGCGATAACCGGTTTGTCGAGATTGAAAAT
-TTCGGTTAATCCCGCAAATCCACCCGGGCCAAAGTCAGCATCCGGTGCTTCGCCTTCTGCTGCCGCTTTT
-AAATCCCAGCCCGCGGAAAAGAACTTCTCTCCGGCACCGGTAATAATGGCGACACGTAATTGCGGATCGT
-CACGGAAATTTAGAAATACTTCGCCCATTTCAAAGCTGGTTTTTGCATCAATAGCATTCGCTTTTGGACG
-ATCAAGGGTAATTTCCAGAATTGATCCATTGCGGGTCAGATGTAATGATTCACTCATTCCTTTTCTCCAT
-TTTTGCTTTTTCAGGGACGACAACATCCCTGCAAAAAATGCATATTGTTTTATAGCGTGATTATTAGCTG
-GCAGGGTAGTTCCCTGCTGTTTCATTTATTTCAGATTCTTTCTAATTATTTTCCCCGAGCAATTACGTGG
-CAGATCTTTTCTGATCTCCAGATAAGAGGGCACTTTAAATTTCGCCATATTTTGTTCGCAGAAGCGGAAA
-AATTCCTCTTCGCTCAATGTTTCACCTTCATTCAGCACCACAAATGCTTTGATGGCTTCATCGCGAATCG
-AATCTTTAATACCCACAACCACGATATCCTGAATTTTTGGATGGGTGGCGATGATATTTTCCAGCTCCAC
-GCAGGAGACATTCTCGCCACCGCGTTTGATCATATTGCAGCGGCGATCGACGAAATAAAAAAAGCCCTCT
-TCGTCGCAGTATCCGGTATCGCCGGTATGTAGCCAGCCGTCGGCTTCCAGCACTTTCGCAGTGGCTTTCG
-GGTTGAGAAAATACTCTTTGAAGATGGTTTTCCCTGGTACGCCTTTAATACAGATTTCACCGATCTCACC
-TGCCGGGAGCGGGCGATTGTGATCGTCGCGGATCTCCGCTTCGTAGCAAAACCCCGCCCGACCAATCGAC
-GGCCAGCGTCGTTTATCGCCAGGGCGATCGCCGATAATGCCCACAATGGTTTCCGTCATCCCATAAGACG
-TCAGCAAGCGAACGCCGAAGCGTTCACAAAACGCATCTTTTTCCTGCTCCGACAAGTTGAGATAAAACAT
-CACTTCCCGCAGGCGGTGTTGCCGATCGTTCGCTGAAGGCGGCTGCACCATCAACGTACGGATCATCATC
-GGAATACATTCGGTAATGGTGGCGCGGTACTTCTGCACCTGTCCCCAGAAGGCGCGGGCGCTGTATTTCT
-CGACCAGCACAAAGGTGGCCCCGGCAGAAAACGCCGCCATCGCCGCAGTACACTGGCAATCGATATGAAA
-CGCAGGCATTACCGTCAGGTAGACGTCATCGTCACGCAGTGCACACTGCCAGGCGGAGTAATATCCAGCG
-AAGCGCAGGTTGTAATGGGTAATCACCACACCTTTCGGTCGGGAGGTGGTGCCGGAGGTGAAGAGAATTT
-CCGCCGTATCGTCAGTCAATAGCGGCGGTGCATAGCACAAGGTGGCAGGTTGTTGATTTTTCAGTTGAGT
-AAACGAACTCACGCCATCATCAGCGGGAAGTGCCACATCTGTCAGGCAAATGTGCCGCAATTGAGTGGCA
-TCTTCCTGCTGAATCTGTTGATACATAGGATAGAATTGCGCACTGGTCACCAGCAGGCACGCCTGGCTAT
-TTTGCAGGATCCACGCGCTTTCCTCGCGTAACAGGCGGGCGTTAATCGGCACCATAATCGCGCCAATTTT
-TGCCAGCCCGAACCAGCAAAAGATAAATTCCGGGCAGTTGTCGAGATGTAGTGCAACCTTGTCGCCTTTG
-CGAATCCCCAGCGTATAAAACAGGTTTGCCGTGCGGTTAATCTCCTGATTTAACTCAAGATAACTATACC
-GGTTAACGACTCCGCCGCTGGATTCACAAATCAGCGCCGTTTTATGACCGTAAACGTCCGCCAGATCGTC
-CCACATTTGACGTAGATGTTGTCCGCCAATGATATCCATTGCACCTCTATCCATTTTTGTTCGTTTGTTA
-TTGGGCGGGCGCTAGTCAGGCAAGCCGACTGACGCCACGCGTTTAGTCCTCAACTTTGGCCAGACCTTTG
-CTGACCAACTCCTGAATGTCGTTTTCGCTGTAGCCGATATTTTTCAAAATGGCAGCCGTGTCCATGCCAT
-GTGAGGGCATTCCGCGCCAGATTTGTCCGGGGTTATTTTTGAATTTCGGCATGATGTTCGGCCCTTTGCA
-GGTGCGACCATCCATCGTTTGCCACTGAGTGATTGATTCACGGGCAACATACTGTGGATTGCTTTCCAGT
-TCCGGTACGGTCAGTACTTTGGCACAGGCGATATTCAGTTCGGCAAAGCGTTCTTTAACTTCTGCGATGG
-TATGTGCCGCCAGCCAGGCATCGAGTTTCTCTTCTACCAGTGGGCCGTAAGGGCATTCGATACGGTGGAT
-AAGCTGAGTGCCTTCCGGGATTTCCGGCGTACCGAGCAGATGTGCGAGGCCAATATCTTTAAAGCACTCT
-TCAATTTGGGTAATGCCCACCAGTTCCATCACGATGTAGCCGTCGGCGCATTTATACAGACCGCAACCGG
-CGTAGTAGGGATCTTTACCTTTGCTCATGCGCGGGCACATTTCGCCGCCGTTGAAGTAATCCATCATGAA
-GTACTGGCCCATACGCAGCATCACTTCATACATGGCGATGTCGATACTTTCGCCTTTACCGGTTTCACGC
-ACTTTATGCAGTGCTGCCAGCGCCGCCGTGGTGGCGGTCAGGCCAGAAAAGTAATCGGCGGTATACGGGA
-AGGCAGGCATTGGCTGGTCAACATCACCGTTCTGAATCAGGTAACCACTGAAGGCCTGGGCGATGGTGTT
-ATAGGCCGGAAGATTGGTGTACTCCTCGGTGCCGTACTGACCAAAACCGGACAGGTGAGCGATAACCAGT
-TTCGGGTTGTGCTGCCACAGTACTTCATCGGTAATGCCACGACGGGCAAAGGCCGGACCTTTACTGGCTT
-CGATGAAGATATCGGTGGTTTCCATTAATTTCAGAAACGCTTCGCGGCCTTCATCTTTGAAAATATTTAA
-CGACAGCGCGTGCAAATTGCGGCGGGAGAGCTGCGGGTAGTTCGGTTGAACGCGAATGGTGTCGGCCCAG
-GCGACGTTCTCGATCCAGATAACTTCCGCACCCCATTCTGCGAACATTTGCCCGGCGAACGGCCCGGCGA
-TTTCGATACCGGAGAAGACAACGCGCAATCCGGCCAACGGCCCGAATTTCGGCATGGGTAGATGATCCAT
-TATTAGCTCCTGAAAAATTTATGTAGCGCATGACTGCCGGATGCGGCGTAAACGCTTTATCCGGCCTACA
-TTCGTGCTCCCGTAGGCCTGATAAGACGCATTAGCGTCGCATCAGGCAGCGCACGGACTTAGCGGTATTG
-CTTCAGCACCGCGCGACCCAGCGTCAGGATCTGCATTTCGTCAGATCCCCCGGAGACGCGGTCTACACGC
-AGATCACGCCAGAAGCGGCTGATGCGGTGGTTGCCCGCAATCCCGACACCGCCCAGCACCTGCATTGCGC
-TATCCACAACTTCAAATGCCGCATTGGCGCAGAAGTATTTGCACATCGCTGCATCGCCAGAGGTGATGGT
-GCCGTTGTCTGCTTTCCACGCTGCTTCATACAGCATGTTTTTCATGGAGTTTAATTTGATCGCCATGTGG
-GCGAATTTTTCCTGAATCAACTGGAAACGACCAATAGCCTCGCCAAACTGCACGCGCTGATTGGCGTAGC
-GCGCCGCATCTTCAAAGGCGCACATCGCCGTACCGTAGTTGGTGAGGGCTACCAGGAAACGTTCATGGTC
-GAACTCTTCTTTGACGCGGTTAAAGCCGTTACCTTCCCGACCGAACATGTCTTTCTCGTCCAGTTCCACG
-TCGTCAAAGGTGATTTCACAGCAGCTATCCATACGCAGACCGAGCTTTTCAAGTTTGGTCACTTTGATGC
-CCGGTTTGCTCATATCAACAAACCATTCGGTGTAGACAGGTTTGTCCGGAGAAGCCCCGTCGCGCGCCAT
-CACCACGATGTACGGGGTGTAGGCGCTGCTGGTAATAAAACACTTACTACCATTAAGATAAATCTTACCA
-TTTCTACGGGTATAAGTCGTTTTCAGGCTACCCACGTCGGAGCCCGCGCCCGGTTCGGTAATCGCTGAGT
-TCCACATCTGCTTACCGGTGCCGCGGAAAGCCATAATCTTGTCGATCTGCTCTTGTGTGCCTTCGCGCAG
-GAAGGTGTTGAACCCGCCCGGCAACTGGTACAGCACATAGGTTGGTGCCCCCAGACGTCCCAGCTCCATC
-CACACGGCGGCGAGAGTAACAAACCCCGCGTCCAGACCACCGTGCTCTTCAGGGATCAGCAGACTGTCGA
-TACCCATATCCGCCAGTGCTTTGACAAAACGTTCCGGGTAGACGCTGTCACGGTCGCACTCGGCAAAATA
-GGCCTCCCAGTTTTCGCTGGCCATCAGTTCGCGGATACCGGCGACAAACAGTTCCTGCTCATCATTTAAA
-TTAAAATCCATCTTTCAACCTCTTGATATTTTGGGGGTTAATTAATCTTTCCAGTTCTGTTTCGCGTCTT
-TAATAAAGGAGAGCGTCACCATAATGTTGACGAAGAACAGCGGGCATCCTCCGGCGATAATGGCGGTTTG
-AATCGGTTTCAGGCCGCCGAGCGCCAGCAGAACAATACCGATAATGCCAACCAGAATTGACCAACCGATA
-CGCACCAGCAGAGGTGGTTCTTCACCATCGCGTACTTCGCGGCAAGTGGACATCGCCAGGGTATAAGAGC
-AGGCGTTAACCAGCGTAACGGTGGCAATAAAGCAGAGGATGAAGAAGCCCCACATGGTGGCGGTGCTGAG
-TGGCAGAGCGGCCCAGGTTTCAATGATGGCGCGCGCCACACCGTACTGTTCGATCAGATTTGGAATGTTG
-ATGATGTTTTTATCTATCAACAGCAGAGTGTTACTACCGAGTACAGTCCACAGGATCCAGGTTGACGCTG
-TCAGCCCCAGCACCATGCCGAAGCACAGTTCACGCACAGTACGACCACGGGAGATGCGGGCGAGGAAGAT
-ACTCATCTGGATAGCATAAATCACCCACCATGCCCAGTAGAACACGGTCCAGCCCTGCGGGAAGCCGCCT
-TTAGCGATGGGATCGGTATAGAACAACATGCGCGGCAGATACATCAGCAACATCCCCACCGAATCGGTGA
-AGTAGTTCATGATGAAGCTGGCACCGCTGACAATGAACACCCAACCCAGCATCAGGAAGCTCAGGTAACT
-ACGCACGTCACTGGCGATACGTACCCCTTTTTGCAGACCGCAAGCGACGCAAATGGCGTTGAGGATAATC
-CAGCAGGTAATGATGATAGCGTCCAGTTGCAGGGTATGCGGAATGCCAAACAACCATTGCATACACTCGG
-TCACCAGCGGCGTGGCAAGGCCCAGACTGGTACCCATCGCGAAGATCAAGGCGACGAGATAGAAGTTGTC
-GACGATAGTGCCGAACAACCCTTTGGCGTGTTTTTCACCTACCAGCGGCACCAGTGTCGAGCTGGGGCGA
-ATCACTTCCATTTTGCGGACAAAGAAGAAGTAAGCGAAGGCGACTGAAAGGAAGCTGTAAGTGGCCCACG
-GCAGAGGTCCCCAGTGGAACAAGCTGTAAGCCAGCCCCAACTCTTTCGCCCCTGTCGAGTTCGGTTCTAA
-GCCAAACGGCGGGGTGGAGATGTAGTAGTAGATCTCAATCGATCCCCAGAACAGTACGGCAGCAGACGTA
-CAGGAGGCGAACATCATAAAGATCCAACTGGCGGTACTAAATTCAGGTGGTTCGTTACCTAAACGCTTTT
-TGGCATACGGGCCAAACACCAGCCAGAACCAACCGAAAAGCATCACCACCATATACCATTCAAATGCCCA
-TCCCCATACATTGGTGACGTAACTGAATACAGCATTAATAACGACATTCGCTGCATCCAGATCTCTGACT
-GTAAGCCAACAAAGTATGCCGACGATTATTAACGGCGGAAAGAAAACCTTCGGTTCTATTCCCGTTTTTC
-TCTTTTCATTCTTCATGAGTTAATTCCACTGTGAAAACGAATATTTATTTTGCGTTCCCGTTTGTTTTAT
-TTTTGTTAACATTTAATATAATTATTATTAACCTCGTGGACGCGTTAATGGCTAACTCATAATGGGTATT
-CAATAAGCTGCATTCTGTGATTGTTATCACATTTTTGTTTCGGGTGAATAGAGGGCGCTTTTCTCGTTAA
-TTTTGATTATTAATCAGTTTGTTATGTTGTGTTGTGAGTAAAAAAATAGCATCTGACTTTCAATATTGGT
-GATCCATAAAGCAATATTGAAAATTTCTTTTTGCTACGCGATGTTTTCAATATTGGTGAGGAACTTAACA
-ATATTGAAAGTTGGATTTATCTGCGTGTGACATTTTCAATATTGGTGATTAAAGTTTTATTTCCAAATTA
-AAGGGTGTGATATCTGTAATTAACACCACCGATATGAACGACGTTTCCTTCATGATTTCTGGAGATGCAA
-TGAAGATTATTACTTGCTATAAGTGCGTGCCTGATGAACAGGATATTGCGGTCAATAATGCTGATGGTTC
-ATTAGACTTCAGCAAAGCCGATGCCAAAATAAGCCAATACGATCTGAACGCTATTGAAGCGGCTTGCCAG
-CTAAAGCAACAGGCAGCAGAGGCGCAGGTGACGGCCTTAAGTGTGGGCGGTAAAGCCCTGACCAACGCCA
-AAGGGCGTAAAGATGTGCTATCGCGCGGCCCGGATGAACTGATTGTGGTGATTGATGACCAGTTCGAGCA
-GGCACTGCCGCAACAAACGGCGAGCGCACTGGCTGCAGCCGCCCAGAAAGCAGGCTTTGATTTGATCCTC
-TGTGGCGATGGTTCTTCCGACCTTTATGCCCAGCAGGTTGGTCTGCTGGTGGGCGAAATCCTCAATATTC
-CGGCAGTTAACGGCGTCAGCAAAATTATCTCCCTGACTGCAGATACCCTCACCGTTGAGCGCGAACTGGA
-AGATGAAACCGAAACCTTAAGCATTCCGCTGCCTGCGGTTGTTGCTGTTTCCACTGATATCAACTCCCCA
-CAAATTCCTTCGATGAAAGCCATTCTCGGCGCGGCGAAAAAGCCAGTCCAGGTATGGTCGGCGGCGGATA
-TCGGTTTTAACGCCGTGGACGCCTGGTCTGAACAACAGGTTGCTGCGCCGAAACAGCGCGAACGTCAGCG
-CATCGTGATTGAAGGCGACGGCGAAGAACAGATCGCCGCATTTGCTGAAAATCTTCGCAAAGTCATTTAA
-TTACAGGGGATGCTATGAACACGTTTTCTCAAGTCTGGGTATTCAGCGATACCCCTTCTCGTCTGCCGGA
-ACTGATGAACGGTGCGCAGGCTTTAGCTAATCAAATCAACACCTTTGTCCTCAATGATGCCGACGGCGTA
-CAGGCAATCCAGCTCGGCGCTAATCATGTCTGGAAATTAAACGGCAAACCGGACGATCGGATGATCGAAG
-ATTACGCCGGTGTCATGGCTGACACTATTCGCCAGCACGGCGCAGACGGCCTGGTGCTGCTGCCAAACAC
-CCGTCGCGGCAAATTACTGGCGGCAAAACTGGGTTATCGCCTTAAAGCGGCGGTGTCTAACGATGCCAGC
-ACCGTCAGCGTACAGGACGGTAAAGCGACAGTGAAACACATGGTTTACGGTGGTCTGGCGATTGGCGAAG
-AACGCATTGCCACGCCGTATGCGGTACTGACCATCAGCAGCGGCACGTTCGATGCGGCTCAGCCAGACGC
-GTCACGCACTGGCGAAACGCACACCGTGGAGTGGCAGGCTCCGGCTGTGGCGATTACCCGCACGGCAACC
-CAGGCGCGCCAGAGCAACAGCGTCGATCTCGACAAAGCCCGTCTGGTGGTCAGCGTCGGTCGCGGTATTG
-GCAGCAAAGAGAACATTGCGCTGGCAGAACAGCTTTGCAAGGCGATAGGTGCGGAGTTGGCCTGTTCTCG
-TCCGGTGGCGGAAAACGAAAAATGGATGGAGCACGAACGCTATGTCGGTATCTCCAACCTGATGCTGAAA
-CCTGAACTGTACCTGGCGGTGGGGATCTCCGGGCAGATCCAGCACATGGTTGGTGCTAATGCATCGCAAA
-CCATTTTCGCCATCAATAAAGATAAAAATGCGCCGATCTTCCAGTACGCGGATTACGGCATTGTTGGTGA
-CGCCGTGAAGATCCTTCCGGCGCTGACCGCAGCTTTAGCGCGTTGATCCACTCTGGCAGGGCTGCATTTT
-GGCCCTGCCGCTGACAGGTAGCTCTTATGTCCGAAGATATCTTTGACGCCATCATCGTCGGTGCTGGGCT
-TGCCGGTTCGGTTGCCGCACTGGTGCTCGCCCGCGAAGGGGCGCAAGTGTTAGTTATCGAGCGTGGCAAT
-TCCGCAGGTGCCAAGAACGTCACCGGCGGGCGTCTCTATGCCCACAGCCTGGAACACATTATTCCTGGTT
-TCGCCGACTCCGCCCCCGTAGAACGCCTGATCACCCATGAAAAACTCGCGTTTATGACGGAAAAGTCAGC
-GATGACTATGGACTACTGCAATGGTGACGAAACCTCGCCATCCCAGCGTTCTTACTCCGTTTTGCGCAGT
-AAATTTGATGCCTGGCTGATGGAGCAGGCCGAAGAAGCGGGCGCGCAGTTAATTACCGGGATCCGCGTCG
-ATAACCTCGTACAGCGCGATGGCAAAGTCGTCGGTGTAGAAGCCGATGGCGATGTGATTGAAGCGAAAAC
-GGTGATCCTTGCTGATGGAGTGAACTCCATCCTTGCCGAAAAGCTGGGGATGGCAAAACGCGTTAAACCG
-ACGGATGTGGCGGTTGGCGTGAAGGAACTGATCGAGTTACCGAAGTCGGTAATCGAAGACCGTTTTCAGT
-TGCAGGGTAATCAGGGCGCGGCTTGTCTGTTTGCGGGATCACCCACCGATGGCCTGATGGGCGGCGGCTT
-CCTTTATACCAATGAAAATACCCTGTCGCTGGGGCTGGTTTGTGGTCTGCATCATCTGCATGACGCAAAA
-AAATCGGTGCCGCAAATGCTGGAAGATTTCAAACAGCATCCGGCAGTGGCACCGCTGATCGCGGGCGGCA
-AGCTGGTGGAATATTCCGCTCACGTAGTGCCGGAAGCAGGCATCAACATGCTGCCGGAGTTGGTTGGTGA
-CGGCGTATTGATTGCCGGTGATGCCGCCGGAATGTGTATGAACCTCGGTTTTACCATTCGCGGTATGGAT
-CTGGCGATTGCCGCCGGGGAAGCTGCAGCAAAAACCGTGCTTTCAGCGATGAAAAGCGACGATTTCAGTA
-AGCAAAAACTCGCGGAATATCGTCAGCATCTTGAGAGTGGCCCGCTGCGCGATATGCGTATGTACCAGAA
-ACTACCGGCCTTCCTTGATAACCCACGCATGTTTAGCGGCTACCCGGAACTGGCGGTGGGCGTGGCGCGT
-GACCTGTTCACCATTGACGGCAGTGCGCCGGAACTGATGCGCAAGAAAATCCTCCGCCACGGCAAGAAAG
-TGGGCTTCATCAATCTGATCAAGGATGGCATGAAAGGAGTGACCGTTTTATGACTTCTCCCGTCAATGTG
-GACGTCAAACTGGGCGTCAATAAATTCAATGTCGATGAAGAGCATCCGCACATTGTTGTTAAGGCCGATG
-CCGATAAACAGGCCCTGGAGCTGCTGGTGAAAGCGTGCCCCGCAGGTCTGTACAAGAAGCAGGATGACGG
-CAGTGTGCGCTTCGATTACGCCGGATGTCTGGAGTGCGGCACCTGTCGCATTCTGGGGCTGGGGTCGGCG
-CTGGAACAGTGGGAATACCCGCGCGGCACCTTTGGTGTGGAGTTCCGTTACGGCTGATGTTGGTTTGATA
-CGTAACGCCGTACTGACTCTCATTGCAAAAAAACAGGAATAACCCATGCAACCGTCCAGAAACTTTGACG
-ATCTCAAATTCTCCTCAATTCACCGCCGCATTTTGCTGTGGGGAAGCGGTGGTCCGTTTCTGGATGGTTA
-TGTACTGGTAATGATTGGCGTGGCGCTGGAGCAACTGACTCCGGCGCTAAAACTGGACGCTGACTGGATT
-GGCTTGTTGGGCGCGGGAACGCTCGCCGGGCTGTTCGTTGGCACATCGCTGTTTGGCTATATTTCCGATA
-AAGTCGGACGGCGCAAAATGTTCCTCATTGATATCATCGCCATCGGCGTGATATCGGTGGCGACGATGTT
-TGTTTCATCCCCCGTCGAACTGTTGGTGATGCGGGTACTTATCGGCATTGTCATCGGTGCAGATTATCCC
-ATCGCCACCTCAATGATCACCGAGTTCTCCAGTACCCGTCAGCGGGCGTTTTCCATCAGCTTTATCGCCG
-CCATGTGGTATGTCGGCGCGACCTGCGCCGATCTGGTCGGCTACTGGCTTTATGATGTGGAAGGCGGCTG
-GCGCTGGATGCTGGGTAGCGCGGCGATCCCCTGTTTGTTGATTTTGATTGGTCGATTCGAACTGCCTGAA
-TCTCCCCGCTGGTTATTACGCAAAGGGCGAGTAAAAGAGTGCGAAGAGATGATGATAAAACTGTTTGGCG
-AACCGGTGGCTTTCGATGAAGAGCAGCCGCAGCAAACCCGTTTTCGCGATCTGTTTAATCGCCGCCATTT
-TCCTTTTGTTCTGTTTGTTGCCGCCATCTGGACCTGCCAGGTGATCCCAATGTTCGCCATTTACACCTTT
-GGCCCGCAAATCGTTGGTTTGTTGGGATTGGGTGTTGGCAAAAACGCGGCGCTGGGGAACGTGGTGATTA
-GCCTGTTCTTTATGCTCGGCTGTATTCCGCCGATGCTGTGGTTAAACACTGCCGGACGGCGTCCATTGTT
-GATTGGCAGCTTTGCCATGATGACGCTGGCGCTGGCGGTTTTGGGGCTGATCCCGGATATGGGGATCTGG
-CTGGTAGTGATGGCCTTTGCGGTGTATGCCTTTTTCTCTGGCGGGCCGGGTAATTTGCAGTGGCTCTATC
-CTAATGAACTCTTCCCGACAGATATCCGCGCCTCTGCCGTGGGCGTGATTATGTCCTTAAGCCGTATTGG
-CACCATTGTTTCGACCTGGGCACTGCCGATCTTTATCAATAATTACGGTATCAGTAACACGATGCTAATG
-GGGGCGGGTATCTCGCTGTTTGGCTTGTTGATTTCCGTAGCGTTTGCCCCGGAGACTCGAGGGATGTCAC
-TGGCGCAAACCAGCAATATGACGATCCGCGGGCAGAGAATGGGGTAAATTGTTCAGATTTCTCTCTTTTC
-TGAATCAATATTATTGACTATAAGCCGCGTGAATATATGACTACACTTTGTGGGAAAACAAAGGCGTAAT
-CACGCGGGCTACCTATGATTCTTATAATTTATGCGCATCCGTATCCGCATCATTCCCATGCGAATAAACG
-GATGCTTGAACAGGCAAGGACGCTGGAAGGCGTCGAAATTCGCTCTCTTTATCAACTCTATCCTGACTTC
-AATATCGATATTGCCGCCGAGCAGGAGGCGCTGTCTCGCGCCGATCTGATCGTCTGGCAGCACCCGATGC
-AGTGGTACAGCATTCCTCCGCTCCTCAAACTTTGGATCGATAAAGTTTTCTCCCACGGCTGGGCTTACGG
-TCATGGCGGCACGGCGCTGCATGGCAAACATTTGCTGTGGGCGGTGACGACCGGCGGCGGGGAAAGCCAT
-TTTGAAATTGGTGCGCATCCGGGCTTTGATGTGCTGTCGCAGCCGCTACAGGCGACGGCAATCTACTGCG
-GACTGAACTGGCTGCCACCGTTTGCCATGCACTGCACCTTTATTTGTGACGACGAAACCCTCGAAGGGCA
-GGCGCGTCACTATAAGCAACGTCTGCTGGAATGGCAGGAGGCCCATCATGGATAGCCATACGCTGATTCA
-GGCGCTGATTTATCTCGGTTCGGCAGCGCTGATTGTACCCATTGCGGTACGTCTTGGTCTGGGATCGGTA
-CTTGGCTACCTGATCGCCGGCTGCATTATTGGCCCGTGGGGGCTGCGACTGGTGACCGATGCCGAATCTA
-TTCTGCACTTTGCCGAGATTGGGGTGGTGCTGATGCTGTTTATTATCGGCCTCGAACTCGATCCACAAAG
-GCTGTGGAAGCTGCGTGCGGCAGTGTTCGGCGGTGGCGCATTGCAGATGGTGATTTGCGGCGGCCTGCTG
-GGGCTGTTCTGCATGTTACTTGGGCTGCGCTGGCAGGTCGCGGAATTGATCGGCATGACGCTGGCGCTCT
-CCTCTACGGCGATTGCCATGCAGGCGATGAATGAACGCAATCTGATGGTGACGCAAATGGGTCGCAGTGC
-CTTTGCGGTGCTGCTGTTCCAGGATATCGCGGCGATCCCGCTGGTGGCGATGATTCCGCTACTGGCAACG
-AGCAGTGCCTCGACGACGATGGGCGCATTTGCTCTCTCGGCGTTAAAAGTGGCGGGTGCGCTGGTGCTGG
-TGGTATTGCTGGGGCGCTATGTCACGCGTCCGGCGCTGCGTTTTGTAGCCCGCTCTGGCTTGCGGGAAGT
-GTTTAGTGCCGTGGCGTTATTCCTCGTGTTTGGCTTTGGTTTGCTGCTGGAAGAGGTCGGCTTGTCGATG
-GCGATGGGCGCGTTTCTGGCGGGCGTACTGCTGGCAAGCTCGGAATACCGTCATGCGCTGGAGAGCGATA
-TCGAACCATTTAAAGGTTTGCTGTTGGGGCTGTTTTTCATCGGTGTTGGCATGTCGATAGACTTTGGCAC
-GCTGCTTGAAAACCCATTGCGCATTGTCATTTTGCTGCTCGGTTTCCTCATCATCAAAATCGCCATGCTG
-TGGCTGATTGCCCGACCGTTGCAAGTGCCAAATAAACAGCGTCGTTGGTTTGCGGTGTTGTTAGGGCAGG
-GCAGTGAGTTTGCCTTTGTGGTATTTGGCGCGGCGCAGATGGCGAATGTGCTGGAGCCGGAGTGGGCGAA
-ATCGCTGACCCTGGCGGTGGCGCTGTCGATGGCAGCAACGCCGATTCTGCTGGTGATCCTCAATCGCCTT
-GAGCAATCTTCTACTGAGGAAGCGCGTGAAGCCGATGAGATCGACGAAGAACAGCCGCGCGTGATTATCG
-CCGGATTCGGTCGTTTTGGGCAGATTACCGGACGTTTACTGCTCTCCAGCGGGGTGAAAATGGTGGTGCT
-CGATCACGATCCGGACCATATCGAAACGCTGCGTAAATTTGGTATGAAAGTGTTTTATGGCGATGCAACG
-CGGATGGATTTACTGGAATCTGCCGGAGCGGCGAAAGCGGAAGTGCTGATTAATGCTATTGATGATCCGC
-AAACCAACCTGCAACTGACGGAGATGGTGAAAGAACATTTCCCGCATTTGCAGATTATTGCCCGCGCCCG
-CGATGTCGACCACTACATTCGTTTGCGTCAGGCAGGCGTTGAAAAGCCGGAGCGTGAAACCTTCGAAGGT
-GCGCTGAAAACCGGGCGTCTGGCACTGGAAAGTTTAGGTCTGGGGCCGTATGAAGCGCGAGAACGTGCCG
-ATGTGTTCCGCCGCTTTAATATTCAGATGGTGGAAGAGATGGCAATGGTTGAGAACGACACCAAAGCCCG
-CGCGGCGGTCTATAAACGCACCAGCGCGATGTTAAGTGAGATCATTACCGAGGACCGCGAACATCTGTCA
-TTAATTCAACGACATGGCTGGCAGGGAACCGAAGAAGGTAAACATACCGGCAACATGGCGGATGAACCGG
-AAACGAAACCCTCATCCTAATAAAGAGTGACGTAAATCACACTTTACAGCTAACTGTTTGTTTTTGTTTC
-ATTGTAATGCGGCGAGTCCAGGGAGAGAGCGTGGACTCGCCAGCAGAATATAAAATTTTCCTCAACATCA
-TCCTCGCACCAGTCGACGACGGTTTACGCTTTACGTATAGTGGCGACAATTTTTTTTATCGGGAAATCTC
-AATGATCAGTCTGATTGCGGCGTTAGCGGTAGATCGCGTTATCGGCATGGAAAACGCCATGCCGTGGAAC
-CTGCCTGCCGATCTCGCCTGGTTTAAACGCAACACCTTAAATAAACCCGTGATTATGGGCCGCCATACCT
-GGGAATCAATCGGTCGTCCGTTGCCAGGACGCAAAAATATTATCCTCAGCAGTCAACCGGGTACGGACGA
-TCGCGTAACGTGGGTGAAGTCGGTGGATGAAGCCATCGCGGCGTGTGGTGACGTACCAGAAATCATGGTG
-ATTGGCGGCGGTCGCGTTTATGAGCAGTTCCTGCCAAAAGCGCAGAAACTGTATCTGACGCATATCGACG
-CAGAAGTGGAAGGCGACACCCATTTCCCGGATTACGAGCCGGATGACTGGGAATCGGTATTCAGCGAATT
-CCACGATGCTGATGCGCAGAACTCTCACAGCTATTGCTTTGAGATTCTGGAGCGGCGGTAATTTTTTGCC
-AGGACTACAAATTGAACGATAAGACGTTTGATTTTACCAGTGAGCGCGATTTTGTGAGTCGCGCTCATTG
-CGTAGGTCTAAACCTTCAAGCCACTCTACAGTGGAATGAAGTAAACGAGGATGCCATCTCGGCATTAAAT
-GAATTTGCAGAAGAAACTGGATGTTTCTCTGATGAGTACCGGAAGTTTTAAGTTTTTAAGCTCTGCTATT
-TCTGTACAGAAGTCAGAATGTTGAGTATCTGCTAAATACTTTCTTTTTGGTCTATCGTCTGGCGATATAT
-TTTGGATTGTTACACATCACATCGTAGCTGAATAACATCAGCAAAGTGTTTTTTGAATAATCGAATCCAG
-GTTTGGTCATCAAAAACATCACCGATGATGTCAGGAATTTCAATTATTCGAAGATCGTCAGGACTAGAAA
-GTAGCAGTTCAAGCAATTCCTTAGTGGGTAACTTCTGGGCGTAGGGAATAGTTTCTGGCGGATAAAGCTG
-TTTAAGTTGTTGCCAAATATCAATGAGTTGGGTCGTTTTACTTTCTGTTATCCATACATCTTCAGCCATC
-TTGGTTATGTTCATTATTGACTGCTGAGAGACAGAACAGAAGAAGCCGTAGTCGACAGCAACGCTGATGC
-AATCACATAGAAAAGCGATTCGCCTGCGATGCCAGGTCCGCTGCTCAGCAAACGGGGGGGCATCTGCTTC
-GTCAATCATTTCCAGAATAATTTCTCTGGTATTAAGCCCGGTGTTGATTTGTCGCACTTAGATATTTTCC
-GCTTAATAGGTGCGTATTTGTCTCAGGAATTTTTCATTCCCAAAGCCTTTCTCGCTGCTGCACTAACTGG
-GTAAATTTTTTCTGGCGGCAGGAAGGATTTCGCCTGTGTTGTTTTGCCGTTTATCAAAAGGTTATGACAC
-TTTCGCACCAGCGGCGTCAGATCATCAATAGCAACAATCGCGTCTTCGTTAAATTGACTGATCAAGTTAC
-GAGAAATACCAAGCTGTAATGATCGGTGCTCCAGTTTTTTACCATTTATGCTGCGTTCTGGGTCCCACTG
-AACATACACATTTGCTTGTGCAAATAACGTTTCCCAAATTCCTGCATGTGGATACACATGGGCTTCCGGC
-GTGGTTAGCACCGCTTGTTCCAGCAATGTATCAAAGAAGGTGCGTTTGATTCGGATTGCGAGAATGTGTT
-GTTGATCTTTTTTCAGTCCCCAGTTGCTACGCTCCATCATCCACATAAAAGAGGGTTTAATCCAGGTCAT
-GCGGTTGAATGAAAAAGGTGCGCCAAATCGCCCGTCACGTACGGCGACGTCAGCGATTGCATCATTGTAA
-GCCTGATAAATCGTGATGGTGTGCTGATTGTAATCAGCACGTATTTCAAAATAGTCAGCCATTATTCCTC
-CCTGAATGGTAATTCGTTAAGACGCGACCGCCTCTCCCTCACCCAAATCCTTATGCCGGTTCGACGGCTG
-GACAAAATACTGCTTATCTTCCCAGCGCAGGCAGGTTAATGACCCACCCCAGCAGCAGCCGGTATCCAGC
-GCGTAAATACCTTCCGGCGTACCTTTGCCTTCCAGCGATGCCCAGTGACCAAAGGCGATGCTGTATTCTT
-CAGCGACAGGGCCAGGAATCGCAAACCACGGTTTCAGTGGGGCAGGGGCTTCTTCCGGCGATTCTTTGCT
-GTACATATCCAGTTGACCGTTTGGAAAGCAAAAACGCATACGGGTAAAGGCGTTGGTGATAAAACGCAGT
-CTTCCCAGCCCCCGCAATTCCGGTGACCAGTTATTTGGCATATCGCCGTACATAGCGTCGAGAAAGAAGG
-GATAGGAGTCACTCGATAGCACCGCTTCTACATCGCGCGCGCACTCTTTGGCGGTCTGTAGATCCCACTG
-CGGCGTGATCCCTGCGTGGGCCATCACCAACTTTTTCTCTTCGTCGATTTGCAGCAAAGGCTGGCGACGC
-AGCCAGTTAAGCAGCTCGTCGGCATCCGGCGCTTCCAGCAGCGGTGTCAGGCGATCTTTCGGTTTATTGC
-GGCTGATCCCGGCAAATACCGCCAGCAGATGCAGATCGTGATTGCCCAGCACCAGACGTACGCTGTCGCC
-TAAGGATTTCACATAGCGCAGAACATCCAGCGAACCCGGCCCGCGCGCGACCAGATCGCCCGTCAGCCAG
-AGGGTATCTTTCCCAGGGGTAAATTCTACTTTATGCAGCAATGCGAACAGTTCATCGTAACAACCATGAA
-CGTCGCCAATAAGGTATGTCGCCATATTCTTTTAATGAATGAGTGTGGGAACGGCGAGTCGGAATACGGG
-AATGTCGATGCTGAAAGGGACGCCATTTTCATCGATCATTTCGTAGTGACCCTGCATGGTGCCCAGCGGG
-GTTTCAATGATTGCACCGCTGGTGTACTGGTACTCTTCGCCAGGCGCGATAAGTGGCTGGACGCCAACCA
-CTCCTTCGCCCTGGACTTCGGTTTCACGGCCATTGCCATTGGTGATCAGCCAGTAACGCCCCAACAACTG
-CACTGGCGTTCGCCCCAGATTGCGTATGGTTACGGTATAAGCAAAAACGTAACGTTCATTATCAGGTGAA
-GATTGTGCCTCAATGTAGACGCTTTGAACCTGAATACACACTCGGGGCGAATTGATCATCGTTAACTCTC
-CTGCAAAGGCGCGTTCTCCGCCAGATAGTTCGCCATCTGGCAATATTGCGCGACAGAGATATTTTCCGCT
-CGCATCGCCGGGTCGATCCCCATTCCCGTTAACACCTCGACGCTAAACAGGTTGCCGAGGCTGTTACGAA
-TGGTTTTACGACGCTGGTTAAAGGCTTCGGTGGTGATGCGGCTCAACACACGAACATCTTTAACCGGGTG
-AGGCATCGTTGCATGAGGAACCAGGCGCACGACGGCGGAATCCACTTTGGGTGGTGGTGTAAAGGCTGAC
-GGCGGAACTTCCAGTACCGGGATCACGTTGCAATAGTATTGCGCCATGACGCTTAATCGACCATACGCTT
-TGCTGTTCGGTCCTGCAACCAGACGATTCACCACCTCTTTTTGCAACATAAAGTGCATGTCGGCAATGGC
-ATCAGTATAGCTAAACAGATGGAACATCAACGGCGTGGAGATGTTATAAGGCAGGTTGCCGAAAACACGC
-AGCGGCTGACCCATTTTCTCGGCCAGTTCGCCAAAGTTAAAGGTCATCGCATCCTGCTGATAAATCGTCA
-GTTTCGGGCCTAAGAATGGATGCGTTTGCAGACGTGCCGCCAGATCGCGGTCAAGTTCGATGACCGTCAG
-CTGGTCCAGACGTTCGCCGACCGGCTCGGTCAATGCCGCCAGACCGGGGCCGATTTCGACCATTGCCTGG
-CCCTTTTGCGGGTTAATGGCAGAAACAATGCTGTCGATCACGAACTGATCGTTGAGAAAGTTTTGCCCGA
-AGCGTTTACGGGCTAAGTGGCCCTGGTGGACTCGATTATTCATTGGGTGTTAACAATCATTTTGATGGCG
-AGATTAAGCGCCGTAATAAAACTGCCGACATCGGCTTCGCCACGTCCCGCCAGTTCAAGCGCGGTGCCGT
-GGTCCACTGATGTGCGAATAAAGGGCAGGCCCAGCGTAATGTTCACACCGCGCCCGAAGCCCTGGTATTT
-TAGCACGGGAAGACCCTGATCGTGGTACATCGCCAGCACGGCGTCGGCGTTATCGAGATATTTCGGCTGA
-AACAGGGTATCGGCAGGCAGCGGCCCGTTGAGTTTCATCCCCTGCGCCCGCAGCTCGTCGAGCACCGGAA
-TAATGGTGTCTATCTCTTCCGTACCCATATGACCGCCTTCGCCCGCGTGCGGATTCAGCCCGCAGACCAG
-AATGCGCGGTTCGGCAATACCAAATTTTGTACGCAAATCGTGATGCAAAATAGCAATCACTTCGTGCAAA
-AGTGCAGGGGTGATAGCATCTGCGATATCGCGCAGCGGTAAATGCGTCGTTGCCAGCGCCACGCGAAGTT
-CTTCGGTCGCCAGCATCATCACCACTTTTTTCGCCTGCGAACGCTCTTCGAAAAACTCGGTATGACCGGT
-AAACGGAATGCCTGCGTCGTTAATGACGCCTTTATGCACGGGGCCTGTGATCAGCGCAGCAAATTCACCG
-TTCAGACAGCCATCACACGCTCGCGCCAGCGTCTCCACCACGTAATGTCCATTTTCAATCGCTAACTGCC
-CCGCAGTGACAGATTCACGTAGCGCGACAGGAAGTAGCGTTAATGTGCCCGTAGTTTGCGGTTGTGCAGG
-GGAGTTGGGGGAATAAGAGCGGAGGGTGAGCGGCAAACCGAGCATCGCTGCCCGGTCGGTAAGGAGAGTG
-GCATCGGCACAAACAACCAGTTCGACCGGCCACTCACGCTGTGCAAGCTGGACAACTAAGTCCGGGCCAA
-TCCCGGCGGGCTCGCCGGGAGTGATCACAACACGTTGGGTTTTAACCATTAGTTGCTCAGGATTTTAACG
-TAGGCGCTGGCACGTTGTTCCTGCATCCAGCTTGCTGCTTCTTCCGAGAACTTACGGTTCATCAGCATGC
-GGTATGCACGATCTTTCTGCGCAGCGTCGGTTTTATCGACATTACGGGTATCCAGCAGTTCGATTAAATG
-CCAGCCGAATGAAGAGTGAACCGGTGCACTCATTTGACCTTTGTTCAGGCGAGTCAGGGCGTCACGGAAG
-GCCGGATCGAAAATATCTGGTGTAGCCCAGCCGAGATCACCGCCCTGGTTAGCAGAGCCTGGATCCTGAG
-AGAACTCTTTCGCTGCGGCAGCAAAAGTCGTTTTACCACTCTTGATATCAGCAGCAATCTGTTCCAGTTT
-CACACGGGCCTGTTCGTCAGTCATGATCGGCGACGGTTTCAGCAGAATATGGCGAGCATGAACTTCGGTC
-ACCGAGATATTTTTGCTTTCGCCGCGCAGGTCGTTAACTTTCAGAATATGGAAGCCAACGCCGGAACGAA
-TCGGGCCAACAATGTCGCCTTTCTTCGCGGTGCTTAATGCCTGGGCGAAGATCCCGGGCAACTCCTGAAT
-ACGGCCCCAGCCCATCTGGCCGCCGTTCAGCGCCTGCTGGTCGGCAGAATGAGCAATCGCCAGCTTACCG
-AAATCAGCGCCGTTACGCGCCTGATCGACAATGGCGCGCGCCTGGCTTTCCGCTTCGTTCACCTGATCAG
-AGGTCGGGTTTTCCGGCAGCGGGATCAGGATGTGGCTCAGGTTCAGCTCAGTGCTGGCGTCGTTTTGGTT
-ACCCACCTGCTGCGCCAGGGATTCGACTTCCTGCGGCAGGATGGTGATGCGACGACGCACCTCGTTGTTA
-CGCACTTCAGAGATAATCATCTCTTTGCGGATCTGGTTACGATAGGTGTTGTAGTTCAGTCCATCGTAAG
-CCAGACGGCTGCGCATCTGATCCAGCGTCATGTTGTTCTGTTTCGCGATGTTAGCAATCGCCTGATCCAG
-CTGCTCATCGGAGATTTTCACTCCCATTTTCTGCCCCATCTGCAGGATGATTTGATCCATGATCAAACGT
-TCCATGATTTGGTGGCGCAGCGTCGCGTCATCAGGAAGTTGCTGCCTTGCCTGAGCAGCGTTCAGTTTTA
-CCGACTGCATTAATCCATCAACGTCGCTTTCCAGCACGACGCCGTTATTGACGACGGCTGCGACTTTATC
-GACTACCTGGGGGGCAGCGAAACTGGTATTCGCGATCATGGCGATACCGAGAAGCAGCGTTTTCCAGTTC
-TTCATACTTTTTCCATTTCAATTAACCGCACTGCGGATTACGTGGTAAATCAACAAATCACAAAGTGTTT
-TGATACGGCAGAATGTTCGAACGCAGCATCTCTTGCGTACCCAGACCGTAGTTGGAGCTCAGGCCGCGAA
-GTTCGATGTTAAAGCCGATTGCGTTGTCATATACCGCATGTTGTTTATCGTTATCCCAACCGTTCAGCTT
-CCGCTCGTAACCGACGCGAATTGCATAGCAGCAGGAGCTGTATTGCACACCTAACATAGAGTCGGCTTGC
-TTGTTCGCATTGGTGTCGTAGTAGTAGGCCCCAACAATGGACCAACGATCGGCAATTGGCCAGCTGGCGA
-CAGCACCTACCTGCGAAATACCATTCTTATATTGCTCAGCAGTGGAATAGTACTTAGGCAGCGTAGCCTG
-AATATATTCCGGGCTGGCGTAACGGTAATTCAGCTGTACCAGACGGTCTTCATCCCGACGGTATTCAATG
-CTGGAGTTACTGGTCGCTACGTTATCCAGACGTGTATCGTACTGAATCCCGCCACGCAATCCCCAACGCT
-CGGAGATACGCCAGTAAGTATCGCCTGCCCACACCAGTGAACCCGTTTTGTCGTCATTCTCCCATGTTAT
-GTTGTCATCGCCAGTGCGAGACTCCGTGAAATAGTAGATTTGACCAACGGAAATATTAAAACGTTCAACG
-GCAGCATCATCATATATGCGAGATGTGACACCGGTCGTCACCTGGTTAGCGGAGGCAATACGGTCAAGAC
-CGCCGTAAGTCCGGTCCCGGAACAGGCCAGAGTAGTCAGATTGCAGCAGAGACGAGTCGTAGTTATAGAT
-GTCGCTCTGATCGCGATACGGCACGTACAAATACTGCGCGCGCGGTTCCAGCGTTTGGGTATAACCCGGA
-GCCAGCATTTCCATATCGCGTTCAAAGACCATTTTGCCGTCAACTTTGAATTGCGGCATTACGCGGTTAA
-CGGATTCGTCCAGCTTGGTCGTGTTTCTGGAGTTATACCAGTCAAGATTGGTTTGCTGATAATGGGTTGC
-CAGCAACTTCGCTTCGGTATTGATGCTGCCCCAGTTATTAGAGAGCGGCAAATTGATGGTCGGTTCCAGG
-TGAACACGGGTTGCTTCAGGCATGTCGTCTCTGGTGTTAACAAAGTGCACTGCCTGGCCGTAAATACGCG
-TATCAAACGGACCAACATCATTCTGGTAGTAATTAACGTCTAACTGCGGCTCTGCCGAGTAGCTACTGGT
-GTTCTGTTCGCTGAAAACCTGGAACTGCTTGGTTGAAACGGTGGCATTGAAGTTTTGCACCGCATAGCCA
-ACGCTGAATTTTTGCGTTGCGTAGCCGTCAGTACTGGAACCGTACTTGTTATCGAAATCATTGAAGTAGC
-TAGGATCGCTGACCTTGGTGTAGTCGACGTTGAAACGCCACACCTGATCCATGACCCCGGAGTGGTTCCA
-GTAGAATAACCAACGACGTGAACTGTCATCGTTCGGGTGTTCATCTTCATAGACTTTATCTGAAGGCAGA
-TAGTCCAGTTCCATCAAGCCAGCGCCCGCCTGGGAGAGGTAGCGGAATTCGTTCTCCCACATGATGTTGC
-CACGACGATGCATATAATGCGGCGTGATGGTGGCATCCATATTTGGCGCGATGTTCCGGTAATATGGCAG
-GTAGAACTCAAAGTAGTTGGTGGTGGTGTACTTGGCGTTCGGGATCAAGAAACCAGAGCGACGTTTGTCA
-CCCACCGGCAACTGCAAATAGGGGCTATAAAAGATCGGTACCGGACCCACCTTAAAGCGGGCGTTCCAGA
-TCTCCGCAACTTGTTCTTCGCGGTCATGAATAATTTCGCTACCTACCACGCTCCAGGTGTCAGAACCCGG
-CAGACAGGAGGTAAAGCTACCGTTATCCAGAATGGTATAGCGGTTTTCGCCACGTTGTTTCATCAGGTCC
-GCTTTACCGCGACCCTGGCGACCCACCATCTGGTAATCACCTTCCCAGACGTTGGTATCTTTGGTGTTCA
-GATTCGCCCAGCCTTTCGGCCCTTTGAGGATCACCTGGTTATCGTCGTAATGGACATTACCGAGCGCATC
-AACGGTACGTACCGGCTCCGGTTGTCCTGGTGCCTCTTTTTGATGGAGCTGCACTTCGTCGGCCTGCAGA
-CGGCTGTTACCCTGCATGATATCCACGCTGCCAGTAAACACGGCGTCATCCGGGTAGTCCCCTTTCGCGT
-GGTCAGCATTGATAGTCACGGGTAAGTCATTGGTATCGCCCTGTACCAGAGGACGGTCATAGCTTGGCAC
-GCCCAACATGCACTGTGAGGCGAGGTCGGCTGCCAGTCCCTGTTGACTATAAAGGGCGGTGGCAATCATG
-GTGGCCAGGAGAGTGGGGATACGTTTTTTCATACGTTGATTTTATTGTTCCATCATCGGTAACGTTGCGC
-GTGACAAACGGTCAGAGACTAACGTACTCGTCATCTCTACGCTAGTGTTAATCCTGTCCGAATAGCGTCA
-GTGGTGTTAGGCACGGCATTGAATGACAGGTATGATAATGCAAATTATAGGCGATGTCCCACAATTGACC
-GCAGCCGGAAAACGGTAAAAGCACCTTTATATTGTGGGAGATAGCCCTGATATCCGTGTGTCGATTTGGG
-GAATATATGCAGTATTGGGGAAAAATCATTGGCGTGGCCGTGGCCTTACTGATGGGCGGCGGCTTTTGGG
-GCGTAGTGTTAGGCCTGTTAATTGGCCATATGTTTGATAAAGCCCGTAGCCGTAAAATGGCGTGGTTCGC
-CAACCAGCGTGAGCGTCAGGCGCTGTTTTTTGCCACCACTTTTGAAGTGATGGGGCATTTAACCAAATCC
-AAAGGTCGCGTCACGGAGGCTGATATTCATATCGCCAGCCAGTTGATGGACCGAATGAACCTTCATGGCG
-CTTCCCGTACTGCGGCGCAAAACGCGTTCCGAGTGGGAAAATCAGATAATTACCCGCTGCGCGAAAAGAT
-GCGCCAGTTTCGCAGTGTCTGCTTTGGTCGTTTTGACTTAATTCGTATGTTTCTGGAGATCCAGATTCAG
-GCGGCGTTTGCTGATGGTTCACTGCACCCGAATGAACGGGCGGTGCTGTATGTCATTGCTGAAGAATTAG
-GGATCTCCCGCGCCCAGTTTGACCAGTTTTTGCGCATGATGCAGGGCGGTGCACAGTTTGGCGGCGGTTA
-TCAGCAGCAATCTGGCGGTGGTAACTGGCAGCAAGCGCAGCGTGGCCCGACGCTGGAAGATGCCTGTAAT
-GTGCTGGGCGTGAAGCCGACGGATGATGCGACCACCATCAAACGTGCCTACCGTAAGCTGATGAGTGAAC
-ACCATCCCGATAAGCTGGTGGCGAAAGGTTTGCCGCCTGAGATGATGGAGATGGCGAAGCAGAAAGCGCA
-GGAAATTCAGCAGGCATATGAGCTGATAAAGCAGCAGAAAGGGTTTAAATAAGTTTTAAACTGTAGGCCT
-GATAAGACGCGGCCCGCGTCGCATCAGGCAATCGGCGCACAATTGCCGGATGCGGCGTGAACGCCTTATC
-CGCCTACCGAACTGCGCCAGCGTGACGATTAAAAATCCGCTGGCGCTTTAAACGTCATACTATTGCCATA
-CGCCGGATGGGTAATCGTCAACATCTCTGCATGTAGCAACAAACGTGGTGCCATCGCTCTCGCTTCTGGT
-GATGCATAAAAACGATCGCCGAGAATCGGATGACCCAGCGCCAGCATATGCACACGCAATTGATGCGAAC
-GCCCGGTAATCGGTTTTAACACCACTCTTGCCGTGTTATCCGCCACATACTCCACCACTTCATATTCCGT
-CTGCGCAGGTTTACCCGTTTCGTAACAGACTTTCTGTTTCGGGCGGTTTGGCCAGTCGCAAATCAGCGGC
-AGATCCACCAGACCTTCTGCGGGGGATGGATGCCCCCAGACGCGGGCCACATACTGCTTTTTCGGCTCGC
-GCTCGCGGAACTGGCGTTTTAACTCCCGCTCCGCGGCTTTGGTCAGCGCCACTACAATCACGCCGCTGGT
-AGCCATATCCAGACGATGCACCGATTCTGCCTGCGGATAATCACGCTGAATGCGCGTCATCACGCTATCT
-TTGTGCTCTTCCAGACGACCCGGCACAGACAACAAACCGCTCGGCTTGTTAACCACCATAATGTGGTCAT
-CCTGATACAGGATAACCAACCAGGGTTCCTGCGGTGGATTGTAGTTTTCCATCCCCATTTTCGGCTCCGT
-TACTGATGCGTTACAACGATCAAACGCAGGGCATCCAGACGCCAGCCTGCCTGATCCAGGCTTTCCATTA
-CCTGCTGACGGTTGCTCTCAATGGCGGTCAGTTCGTCGTCACGAATGTTCGGGTTCACTGCGCGCAGCGC
-TTCCAGACGAGACAGCTCGGCAGACAGTTTTTCGTCGGCTTCGTTACGTGCGGCATCAATCAATGCACGG
-GCAGATTTCTCGATCTGCGCTTCACCCAGCTGAAGGATAGCGTGAACATCCTGCTGCACGGCGTTAACCA
-GTTTGCTGCCGGTGTGACGGTTAACCGCGTTAAGCTGGCGGTTAAAGGTTTCAAACTCCACCTGGGCCGC
-CAGGTTGTTGCCGTTTTTATCCAGCAGCATACGTACCGGCGTCGGTGGCAGGAAGCGGTTGAGCTGCAAC
-TGCTTCGGCGCCTGGGCTTCGACCACGTAAATCAGTTCCACCAACAGCGTACCTACCGGCAACGCTTTGT
-TTTTTAACAGTGAAATCGTGCTGCTACCGGTATCGCCAGAAAGAATCAGATCCAGACCGTTGCGGATCAG
-CGGATGTTCCCAGGTAATAAACTGAGCATCTTCACGCACCAGCGCCACTTCACGATCAAAGGTGATGGTG
-ATGCCATCTTCCGACAGGCCAGGGAAGTCCGGCACCAGCATATGATCGGACGGGGTCAGCACGATCATGT
-TGTCGCCGCGATCGTCCTGATTGATACCGATAATATCGAACAGGTTCATGGCGAAGGCGATCAGGTTGGT
-ATCGTCATCCTGCTCTTCAATGCTTTCTGCCAGTGCCTGGGCTTTTTCGCCACCGTTGGAGTGGATTTCC
-AGCAGGCGATCACGCCCCTGTTCCAGTTGTGCTTTCAGCGCTTCATGTTGCTCGCGGCAGTTTTTGATCA
-GATCGTCAAAGCCTTCGGTTTGATCCGGTGAAGCCAGATAGTTAATCAGATCGTTGTAGACGCTATCGTA
-AATAGTGCGTCCGGTCGGGCAGGTGTGCTCGAATGCATCCAGACCTTCGTGATACCAGCGCACCAGCACC
-GACTGAGCAGTTTTTTCCAGATAAGGCACATGGATCTGAATATCGTGCGCCTGACCGATACGATCCAGAC
-GACCAATACGCTGCTCCAGCAGATCCGGGTTGAATGGCAGGTCAAACATTACCATGTGGCTGGCGAACTG
-GAAGTTACGTCCTTCAGAACCGATTTCTGAGCACAGCAGTACCTGTGCGCCGGTGTCTTCTTCGGCAAAC
-CAGGCGGCAGCGCGGTCACGTTCGATAATCGACATACCTTCGTGGAACACCGCAGCGCGAATACCTTCAC
-GTTCGCGCAGTACCTGCTCCAGTTGCAGCGCAGTGGCAGCTTTGGCGCAGATCACCAGCACTTTCTGAGA
-GCGATGGCTGGTCAGGTAGCCCATCAGCCACTCAACGCGCGGATCGAAGTTCCACCAGGTGGCGTTATCA
-CCTTCAAATTCCTGATAAATACGCTCCGGGTAGAGCATATCGCGAGCACGATCTTCCGCACTTTTACGTG
-CGCCCATAATGCCGGAGACTTTAATAGCCGTCTGATACTGCGTCGGTAGCGGCAGCTTAATGGTGTGCAG
-CTCGCGTTTCGGGAATCCTTTCACACCGTTACGGGTGTTACGGAACAGCACGCGGCTGGTGCCGTGGCGA
-TCCATCAGCATCGAAACCAGTTCCTGACGGGCGCTCTGGGCATCTTCGCTGTCGCTGTTTGCTGCTTGCA
-ACAGCGGCTCGATATCCTGCTCGCCGATCATCTCGCCAAGCATGTTCAGTTCGTCATTGCTCAGTTTGTT
-ACCTGCCAGCAGCATGGCAACGGCGTCCGCAACCGGACGATAATTTTTCTGCTCTTCAACGAACTGCGCA
-AAATCGTGGAAACGGTTCGGGTCCAGCAGACGCAGACGGGCGAAGTGGCTTTCCATTCCCAACTGTTCCG
-GGGTTGCGGTCAGCAGCAGAACGCCCGGCACGTGCTCTGCCAGTTGTTCAATAGCCTGATATTCGCGGCT
-CGGCGCGTCTTCGCTCCACACCAGGTGATGCGCTTCATCGACCACCAGCAGGTCCCATTCGGCTTCACAG
-AGATGTTCCAGGCGCTGTTTGCTACGACGGGCAAAATCCAGCGAGCAAATCACCAGCTGTTCGGTGTCGA
-ACGGGTTGTAAGCATCGTGCTGAGCTTCGGCATAACGCTCATCATCAAACAGCGCAAAACGCAGGTTGAA
-ACGGCGCAGCATTTCTACCAGCCACTGATGCTGTAAGGTTTCCGGGACGATAATCAGCACACGTTCAGCA
-GCGCCAGAGAGCAGTTGCTGATGCAGGATCATCCCGGCTTCAATGGTTTTCCCTAAACCCACTTCGTCAG
-CCAGCAGAACGCGCGGCGCGTGGCGGCGACCAACATCATGAGCGATGTTGAGCTGATGCGGGATCAGGCT
-GGTACGCTGACCGCGCAGGCCGCTGTACGGCATACGGAACTGTTCGCTGGAATACTTACGCGCGCGATAA
-CGCAGCGCAAAGCGGTCCATACGGTCAATCTGCCCGGCAAACAGACGGTCCTGCGGTTTGCTGAACACCA
-GTTTGCTATCAAGGAAAACTTCACGCAGGGCTACGCCGGACTCTTCAGTATCCAGGCGAGTACCGATATA
-GGTCAGCAAGCCATTTTCTTCTTTTACTTCTTCGACTTGCATCTGCCAGCCGTCATGGCTGGTAATGGTA
-TCACCAGGGTTGAACATCACGCGGGTCACGGGGGAATCACTGCGTGCGTACAGACGGTTTTCACCAGTAG
-ATGGGAAAAGTAAAGTGACAGTTCGCGCATCCACCGCGACAACGGTTCCAAGTCCCAATTCGCTTTCTGT
-ATCGCTGATCCAGCGTTGACCAAGTGTAAAAGGCATATGTGTTCGGCTCTATATCTTTAATTGCAGGCAA
-TAACCACCCGCTACCGTGCTTATGAGGTAGTGGCGTTATTCAGGTCCAGGAATGGAAAGGGCGCTATGGT
-ACTGGATGGCAAAGCATTCGTCACGCATCAAAATGGTATCTGGCGAACTCTTTTTTTTGCTCAAAATAGC
-CCAAGTTGCCCGGTCATAAGTGTAGCAAAATTATCCTCAATAAAAGGGAGTATTCCCTCCGCCACGGGTT
-GTAGCTGGCGGGTCAGATAGTGTTCGTAATCCAGTGGTGAACGTTGGTAGTCCAGCGGCTCCGGGCCGTT
-GGTGGTCCATACGTACTTAATGGTGCCGCGATTCTGATATTGCAAGGGGCGACCGCGCTTTTGATTTTCT
-TCATCGGCAAGGCGAGCGGCGCGTACATGAGGCGGAACATTACGCTGATATTCGCTCAGCGGACGGCGAA
-GGCGTTTACGGTAAACCAGCCGCGCATCCAGTTCACCCGCCATCAGTTTGTCGATGGTTTGGCGGACGTA
-CTCCTGATATGGCTCGTTGCGGAAGATACGCAGGTACAGCTCCTGCTGAAACTGCTGGGCCAGCGGCGTC
-CAGTCGGTGCGCACGGTTTCCAGCCCTTTAAACACCATCCGCTGCTTGTCGCCCTCCTGAATCAGCCCGG
-CGTAGCGCTTTTTACTGCCGGTATCAGCTCCGCGAATGGTTGGCATAAGAAAACGGCAGAAATGAGTTTC
-ATACTCCAGTTCTAATGCGCTGGTCAGCCGTTGTTTTTGCAGCGTTTCCGCCCACCAGGCGTTAACGTGC
-TGCACCAGTGCACGACCGATTTTCGCCGCCTCTTCTTCCGAATGTGCACCTTTTAGCCAGACAAAAGTCG
-AGTCGGTATCTCCGTAGATAACGTCGTAGCCCTGCGCTTCAATCAATGCTTTGGTTTGCCGCATGATCTG
-ATGACCACGCATGGTGATCGACGATGCCAGGCGCGGATCGAAAAAGCGGCAGGCGGTGGTGCCAAGCACG
-CCATAAAAGGCATTCATAATGATCTTCAGCGCCTGCGAAAGTGGTTTATTACCCTGACGTTTGGCTTCAT
-CGCGCCCGTGCCAGATGTTAGTCACAATCTCCGGCAGGCAATGTTTCTCCCGTGAGAACCAGGCATCGAG
-AAAACCTTCGGTACTGTGCTCTGGATCAGGCTGCGCCATGCCTTCAACCAGCCCGACGGGATCAATCAGA
-AAGGTGCGGATGATCGACGGGTACAGGCTTTTATAGTCCAGCACCAGCACTGAATCATAAAGCCCTGGCC
-GTGAATCCATCACGTAGCCGCCAGGGCTGGCGTGCGGCGGCACTTCGCCTAGATTAGGCGCGACATAACC
-AGCGCGATGCATTCGCGGAAAATAGAGATGACCAAACGCTGCCACCGAACCGCCGTGCCGATCCACCGGC
-AGGCCGTTCACCGTTGCTCGTTCGAGTAAAAATGGCATGATTTCAGTTTTGTGGAAGATCTGCGTCACCA
-GCTCGCAATCTTTCAGGTTATAAGTTGCCAGCGCAGGTTTATCTTCGGCGAAACGGCGGTCAATTTCGTC
-CATTCGATCCCACGGGTTATCGATAGATTTTCCTTCGCCTAATAGCTCCTGAGCGACAGTTTCCAGCGAG
-AATGAAGAGAAATTCCAGAACGCGGATTTCAGCGCCTCGATACCGTCGATAATTAGCCGACCTTTAGCCT
-GGGCAAAAAAGACGCCGTTTTTAAAGCCGTGCTCGCGCCACTCCAGCTCGCTATTATCGCGCCCAAGACG
-CAGCGGAAGACGGTAACGCTCGGCATGTTTTTGCAGCATTCGCAGATCGAACTGCACCACGTTCCAACCG
-ATGATCACATCAGGATCGTAGTTGGCAAACCAGGCGTTGAGTTTTTCCAGCAACGGCGGGCGGCTGGCGA
-CGTATTCCAGTTCGAAATCAAGCGAGGAGGCGTCGCCATTCTCCGGCCCCAGCATATAAACGATGCGCTG
-CCCGCAGCCTTCCAGGCCGATGCAGTACAGCTCACCGTGGCGGGTGGTTTCAATATCTATAGAAACCCAC
-TTGAGCGGCGGACGATAGTCGGGATGCGGTTTCAGACGGGCATTAACGATAGTGCCATTGTGCATATCAC
-CCTCGACCCACACCGGTGAGGTGATAAACCGCTCCATCAGATAGCGTTCTGGCGGGCGCACATCGGCCTC
-GTAGACGGTAACGCCACCTTCACGCAGGCGCTTTTCGTAATTCATCAATTGGCGATGGGCGCGACAGTAA
-AGGCCATACACCGGCTGGCGGTGAAAATCCTTTAACGCCAGCGGTGTCAGGCGAAAGCCTTGTTCACCCT
-GCAAAATATGCTGAGCGCGGGGAACCTGATCGGCGGGAATAAACGCCACGGACTCTTGCGGTGCAAGCGT
-AACCTGCAACGGCCCGTTGTCCGTCGCCAGCCAGAAGGAGACTTCTGTCCCTTGCGGGGTGTCCCGCCAG
-TGTCGGGTTAAGATAAAACCTGCCTGCGCCACGCTGAAAATCCATCAAAAAACCAGGCTTGAGTATAGCC
-TGGTTTCGTTTGATTGGCTGTGGTTTTATACAGTCATTACTGCCCGTAATATGCCTTCGCGCCATGCTTA
-CGCAGATAGTGTTTATCCAGCAGCGTTTGCTGCATATCCGGTAACTGCGGCGCTAACTGACGGCAGAATA
-TCCCCATATAAGCGACCTCTTCCAGCACGATGGCGTTATGCACCGCATCTTCGGCATTTTTGCCCCATGC
-AAACGGGCCGTGGGAATGGACCAGAACGCCGGGCATTTGCGCTGCATCGATACCCTGTTTTTCAAAGGTT
-TCTACGATGACGTTACCGGTTTCCCACTCATATTCGCCGTTGATTTCTGCGTCGGTCATTTTGCGGGTGC
-AGGGAATGGTGCCGTAGAAATAGTCGGCGTGGGTGGTGCCGGTTGCTGGAATCGACTGACCCGCCTGCGC
-CCAGATGGTGGCGTGGCGCGAGTGCGTATGCACAATGCCGCCAATGGAGGGGAATGCCTGATAGAGCAGC
-CGGTGAGTTGGCGTGTCGGAGGAGGGCTTTTTCGTACCTTCAACCACTTCACCGGTTTCGATGCTAACCA
-CGACCATATCGTCAGCGGTCATGACGCTGTAATCGACGCCGGAAGGTTTGATCACAAAGACGCCGCGCTC
-GCGATCAACGGCGCTGACGTTGCCCCATGTGAGCGTGACCAGGTTGTGTTTTGGCAGCGCCAGGTTGGCT
-TCTAATACCTGGCGTTTGAGATCTTCTAACATGTTGACTCCTGAGAGGTCGTTTCCCCTCACCCCGGCCC
-TCTCCCCAAAGGGGCGAGGGGGAAAACAATGCCGGATGCGCTTTGCTTATCCGGCCTACAAAATCGCAGC
-GTGTAGGCCAGATAAGACGCGTCAGCGTCGCATCAGGCGTTACATACCTGATGTGGCTACTTAGCGACGA
-AATCCGTAATACACTTCGTTCCAGCGCAGTGCGTCTTTAAACGCTGGCAGGCGGGTGTCGTTATCAATCA
-CCGTGATTTCAATGTCGTGCATCTCGGCGAACTGGCGCATATCGTTGAGGTTCAGCGCATGGCTGAAGAC
-GGTATGGTGCGCGCCACCAGCAAGGATCCACGCTTCGGAAGCAGTTGGCAGATCCGGTTGCGCTTTCCAC
-AGCGCATTCGCCACCGGCAGTTTCGGCAGGGAGTGCGGTGTTTTCACCGTGTCGATACAGTTAACCAGCA
-GACGGTAACGATCGCCGAGATCAATCAGGCTGGCGACAATCGCTGGACCGGTTTGGGTATTGAAGATCAG
-TCGGGCAGGATTGTCCTTACCACCAATACCGAGATGCTGAACGTCGAGGATCGGTTTCTCTTCTACGGCA
-ATCGACGGGCAGACTTCCAGCATATGGGAGCCGAGCACCAGGTCATTACCTTTCTCGAAGTGATAGGTGT
-AGTCCTCCATAAAGGAGGTGCCGCCCTGCAGACCGGTTGACATCACCTTCATGATGCGAAGCAGGGCGGC
-GGTTTTCCAGTCGCCTTCGCCCGCAAAGCCGTAACCCTGCTGCATCAGACGCTGTACGGCCAGACCTGGA
-AGCTGTTTCAGACCGTGCAAATCTTCAAAGGTGGTGGTGAACGCGTGGAAGCCACCTTGTTCCAGGAAAC
-GCTTCATCCCCAGCTCAATACGCGCCGCTTCCAGCACGTTCTGTCGTTTTTCGCCGTGGATTTGTGTGGC
-AGGCGTCATGGTGTAGCAGCTTTCGTACTCATCGACCAGCGCGTTAACATCGCCGTCGCTGATGGAGTTC
-ACCACCTGCACCAGATCGCCAACCGCCCAGGTATTGACGGAGAAACCGAACTTGATCTGTGCGGCAACTT
-TATCACCATCGGTGACCGCTACTTCACGCATGTTATCGCCAAAACGGCAGACTTTCAGATGACGGGTATC
-CTGTTTAGAGACCGCCTGGCGCATCCAGGAGCCGATACGCTCATGGGCTTGTTTATCCTGCCAGTGACCG
-GTAACCACGGCATGTTGCTGACGCATACGCGCGCCAATGAAGCCGAACTCGCGACCGCCATGTGCAGTCT
-GGTTCAGGTTCATAAAGTCCATATCGATACTGTCCCACGGCAGCGCCGCGTTAAACTGGGTGTGGAATTG
-CAGCAACGGTTTGTTGAGCATGGTCAGGCCGTTGATCCACATTTTGGCCGGGGAGAAAGTGTGCAGCCAC
-ACCACCAGACCAGCGCAACGATCGTCGTAATTCGCGTCGCGGCAAATAGCGGTGATTTCATCCGGCGTGG
-TGCCCAGCGGTTTCAACACTAGTTTGCAGGGCAGTTTCGCTTCCGTATTCAGCGCATTAACAACGTGCTC
-GGCATGTTGGGTGACCTGACGCAGGGTTTCCGGGCCATACAGATGCTGGCTGCCAATGACAAACCACACT
-TCATAATTATCAAAAATCGTCATTATCGTGTCCTTATAGAGTCGCAACGGCCTGGGCAGCCTGTGCCGGG
-GCGGAAGTTGGAAGATAGTGTTGTTCGGCGCTCATCGCCCATTGCTGATAGCGGCGATAAAGCTGTTCAA
-AGCGTTGTGCCTGTTCGCTGCGCGGTTGCAGGGTTTTCTCTACCGCACTGGCCATTTTTTGCTGGGCTGA
-TGGGATGTCTGCGTGCACTTTCGCGGCGACGGCAGCAAAAATCGCCGCACCGAGCGCACAGCACTGGTCA
-GAGGCAACAATTTGCAGCGGGCGATTCAGCACGTCGCAGCAGGCCTGCATAATGACCTGGTTTTTCCGCG
-CGATGCCGCCCAGCGCCATCACGTTATTGACGGCGATCCCCTGATCGGTAAAGCACTCCATGATTGCGCG
-TGCGCCAAAGGCGGTGGCAGCAATCAAACCGCCGAACAGCAGCGGAGCGTCGGTAGCGAGGTTAAGATCG
-GTAATCACCCCTTTCAGGCGTTGGTTAGCGTTCGGTGTGCGACGACCGTTAAACCAGTCGAGCACCACCG
-GCAGGTGATCCAGAGACGGATTTTTGGCCCATGCTTCGGTCAGCGCCGGAAGCAGTTGTTTCTGGCTGGC
-GTTGATTTGCGCTTTCAGTTCCGGATGCTGGGCGGCAAGCTGTTCCAGCGGCCAGCCGAGTACGCGACCA
-AACCAGGCGTAGATATCACCAAACGCCGATTGGCCTGCTTCCAGACCGATAAATCCAGGTACCACGCTGC
-CATCAACCTGACCGCAAATACCTTTAACTGCCCGCTCGCCAACGCTCTGTTTGTCGGCAATCAGAATGTC
-GCAGGTGGAAGTACCGATAACTTTTACCAGTGCGTTAGGCTGTGCGCCTGCGCCAACTGCGCCCATATGG
-CAGTCAAACGCGCCGCCGGAAATCACCACGCTTTCAGGCAGGCCGAGACGCTGCGCCCATTCCGGGCATA
-AGGTGCCCACCGGAATATCGGCAGTCCAGGTGTCAGTGAACAGCGGGGAAGGTAAATGGCGATTGAGGAT
-CGGGTCCAGCTCATCAAAGAAACTGGCTGGCGGCAAGCCACCCCAGCTTTCGTGCCATAGCGACTTATGC
-CCGGCGCTGCAACGTCCGCGACGAATATCCTGCGGGCGGGTGGTACCGGAAAGCAGAGCTGGCACCCAGT
-CGCACAGCTCAATCCACGATGCGGCAGATTGCGCCACGGCGGTGTCCTGGCGAGTCACATGCAGGATTTT
-TGCCCAGAACCATTCGCTGGAATAAATACCGCCAATGTAGCGGGAGTAGTCAACGTTGCCCGGCGCGTGG
-CACAAACGGGTAATCTCTTCCGCTTCTTCAACCGCAGTGTGGTCTTTCCACAATACGAACATCGCGTTCG
-GGTTTTCGGCAAACTCCGGGCGCAGCGCCAGCACGTTACCGTCGGCATCAATCGGTGCGGGCGTCGAGCC
-GGTACTGTCAACGCCAATCCCGACCACAGCTGCGCGCTGTTCGACGCTAAGCTCTGCAAGCACGGTTTTC
-AGTGCCGCTTCCATTGACTCAATGTAGTCACGCGGATGATGACGGAACTGGTTATTCGGGGCATCACAAA
-ATTGCCCTTTTTGCCAACGGGGATACCACTCTACGCTGGTGGCGATCTCTTCACCGCTGGCGCAGTCCAC
-CGCCAAAGCTCGCACAGAATCACTGCCAAAATCGAGGCCAATTGCAATCGCCATCGTTTCACTCCATCCA
-AAAAAACGGGTATGGAGAAACAGTAGAGAGTTGCGATAAAAAGCGTCAGGTAGGATCCGCTAATCTTATG
-GATAAAAATGCTATGGCATAGCAAAGTGTGACGCCGTGCAAATAATCAATGTGGACTTTTCTGCCGTGAT
-TATAGACACTTTTGTTACGCGTTTTTGTCATGGCTTTGGTCCCGCTTTGTTACAGAATGCTTTTAATAAG
-CGGGGTTACCGGTTGGGTTAGCGAGAAGAGCCAGTAAAAGACGCAGTGACGGCAATGTCTGATGCAATAT
-GGACAATTGGTTTCTTCTCTGAATGGCGGGAGTATGAAAAGTATGGCTGAAGCGCAAAATGATCCCCTGC
-TGCCGGGATACTCGTTTAATGCCCATCTGGTGGCGGGTTTAACGCCGATTGAGGCCAACGGTTATCTCGA
-TTTTTTTATCGACCGACCGCTGGGAATGAAAGGTTATATTCTCAATCTCACCATTCGCGGTCAGGGGGTG
-GTGAAAAATCAGGGACGAGAATTTGTTTGCCGACCGGGTGATATTTTGCTGTTCCCGCCAGGAGAGATTC
-ATCACTACGGTCGTTATCCGGAGGCTCGCGAATGGTATCACCAGTGGGTTTACTTTCGTCCGCGCGCCTA
-CTGGCATGAATGGCTTAACTGGCCGTCAATATTTGCCAATACGGGGTTCTTTCGCCCGGATGAAGCGCAC
-CAGCCGCATTTCAGCGACCTGTTTGGGCAAATCATTAACGCCGGGCAAGGGGAAGGGCGCTATTCGGAGC
-TGCTGGCGATAAATCTGCTTGAGCAATTGTTACTGCGGCGCATGGAAGCGATTAACGAGTCGCTCCATCC
-ACCGATGGATAATCGGGTACGCGAGGCTTGTCAGTACATCAGCGATCACCTGGCAGACAGCAATTTTGAT
-ATCGCCAGCGTCGCACAGCATGTTTGCTTGTCGCCGTCGCGTCTGTCACATCTTTTCCGCCAGCAGTTAG
-GGATTAGCGTCTTAAGCTGGCGCGAGGACCAACGTATCAGCCAGGCGAAGCTGCTTTTGAGCACCACCCG
-GATGCCTATCGCCACCGTCGGTCGCAATGTTGGTTTTGACGATCAACTCTATTTCTCGCGGGTATTTAAA
-AAATGCACCGGGGCCAGCCCGAGCGAGTTCCGAGCCGGTTGTGAAGAAAAAGTGAATGATGTAGCCGTCA
-AGTTGTCATAATTGGTAACGAATCAGACAATTGACGGCTTGACGGAGTAGCATAGGGTTTGCAGAATCCC
-TGCTTCGTCCATTTGACAGGCACATTATGCAAGCATTGCTGGAACACTTTATTACCCAATCTACCGTGTA
-TTCATTGATGGCGGTGGTGTTGGTGGCCTTTCTGGAGTCGCTGGCGCTGGTCGGTTTGATTCTACCCGGT
-ACGGTGCTGATGGCAGGGCTGGGAGCGCTGATTGGCAGCGGCGAGTTAAGTTTCTGGCACGCCTGGCTGG
-CAGGGATCGTCGGTTGCCTGCTGGGCGACTGGATCTCCTTCTGGCTGGGCTGGCGTTTTAAAAAGCCGTT
-GCATCGCTGGTCATTTCTGAAGAAAAACAAAGCATTACTCGATAAAACTGAACATGCGTTGCATCAACAC
-AGCATGTTCACCATTCTGGTCGGTCGCTTTGTTGGCCCGACGCGTCCGCTGGTGCCAATGGTGGCGGGAA
-TGCTGGATCTGCCGGTGGCAAAATTCATTACGCCGAATATTATCGGCTGCCTGCTGTGGCCACCGTTTTA
-CTTCCTGCCTGGGATTCTGGCGGGCGCGGCGATCGATATTCCAGCCGGAATGCAGAGCGGCGAGTTTAAA
-TGGTTGCTGCTGGCGACGGCGGTATTTTTGTGGGTTGGTGGCTGGCTGTGCTGGCGGTTATGGCGCAGCG
-GTAAAGCAACCGATCGTTTAAGTCATTATTTGTCGCGCGGCCGTTTGTTGTGGCTGACGCCGTTAATTTC
-TGCCATCGGCGTGGTGGCGCTGGTGGTGTTAATTCGCCACCCGTTGATGCCGGTGTATATCGATATTTTG
-CGTAAAGTGGTTGGGGGTTAGGAGATAGTCTTGTGCGGGTTGCCTGATGCGACGCTGACCGCGTCTTATC
-AGGCCTACAAAACGCACTACCCGTAGGTCGGATAAGGCGTTCACGCCGCATCCGACAGTGCATACTAACC
-CGTAATCCCCAATAGTGCCGAAGCACTCGCCTTACCGCTCAACAACTCATTGGTCTTACCCTGCCAGGCG
-ATGCGCCCGTCGGCGACCACCACCGAGCGTGTGGCGATCCGCGCCGCATCTTCCACACTGTGCGACACCA
-TCAATAGCGTCATTTTTTGCTGCTGGCAGCTCGTGCTCACCAGCGTCAGCATCTCCTGACGTAACGCCGG
-ATCGAGCGCAGAGAACGGTTCATCGAGCAATAAAATCGGCTGTTCGCGCACCAGACAACGCGCTAACGCC
-ACGCGCTGTCGCTGACCGCCGGAAAGCTCGCCCGGTAACCGCGCCATTAAATTATCAATCCCCATCTGGC
-GGGCGATAGCGTGCATTTTCTCCTGCTGCGCCGCGTTCAGCTTCAATCCCGGATTAAGCCCCAGCCCGAT
-GTTCTGCGCGACCGTCAGGTGGCTGAACAGGTTGTTCTCCTGAAACAGCATCGATACCGGGCGGCGTGAC
-GGCGGCGTCGTGGTGTGATCAACGCTGTCGATAGTCAGCGAACCGCTGGCTGGCGTCAGAAAACCGGCAA
-TCAAATTCAGCAGGGTACTTTTACCCGCGCCGCTTGGCCCGAGGATTGCCACCTGCTCGCCGCGTTCTAC
-CGTTAAGCTAAAACGCATCGGCAAATGGTGATAAAGCCAGGTGATATCAGTCAGTTTTAACATTTCGCCC
-CGGTAGTTTTTCAATCACGGTAAACAGCAGAAAACAGAGTAGTAGCAGAATTAACGCGGTGACCGCGCCG
-TCCTGGCTGCGATAGGAGCCAATTTGCTGGTAGAGATAAAACGGCAGGGTACGGAAATCATCGTTACCGA
-ACAACGCCACTACGCCAAAATCACCAATCGACAGCACGCAGGCAAAAGCCAGCGCCTGCGCCAGTGGACG
-TTTCAGGGCGCGCAGCTCGACCACTTTTAAGCGCGACCAGCCTTCAATGCCCAGCGACTGACACAACATA
-CTGTAGCGGGCGGTGATATCGCGCATCGGGTTTTCCAGTACTTTCAGCGCATAAGGGATCGCCATTAACG
-CATTGGTGAAAATCACAATGCCGTCAGCAGATTGTGGCAGGCCGATAGTGTTGTTGAGCAGTAAAAAGAA
-GCCGGTAGCCAGCACAATCCCCGGCATGGCGAGGATCAACATGCCGCTCATCTCCAGCGCCTGACCCGCC
-AGCATTTTCTGCCGCGCCCGCAGTTCGCGACTGCTCCATAGCAGCATCATGGTCAGCACTACGCACAATA
-CACCTGCCGCCAGCGCAATACGCAACGAGGTCCACAGCGCCTGCCACAGCACCGGTTGTGCCAGCACTTC
-CGGCAACTGGCGATTTACCCCATCGACGATCACCGCCAGCAACGGTGGCAGCAACAGCAGCAGCGCCAGC
-ACTATTAACACCGTGTCGCAAATGCGGCTATGCAGACGATCGTCCGGATCGCGCCAGCCTTGCAGCAGCG
-TGGTACCGGGCGCAATGGCCTTACTTAGTCGCTGACTCAACAGCACCAGCCCAAGGCAACACACCATCTG
-GAGCAGCGCCAGCATCGCCGCGCGGGCAGGATCGTAGTCGTAACTCAGCGCCTGATAAATAGCCAGCTCG
-ATAGTAGTTGCCTGCGGACCGCCGCCCAGCGATAGCACGGTGGCGAAGCTGGCGAAACAGAGCATAAAGA
-TAAGCGCGGCAACCGGCGGGATTTGTCGCCGTAGCCACGGCCATTCGACGAAGCGGAAAAAATGCCAGCC
-GCGCATCCCAAGCTGGGCGGCAAGCTGACGTTGTTCGCCGGGAATGTTTTCCAGTGCCTGGAGTAATAAG
-CGGCTCGCCATCGGCAGATTAAAAAATACGTGCGCCAGCAAAATGCCTTGCAGGCCGTAGGGCGAAAAGG
-TCCACTCCAGACCGAGCGATTGGCAGAGCGATGCCAGCCAGCCCTGACGACCATAGACGCTAAGAATGCC
-GAAAACAGCAACTAGCACCGGGAGGATCAAGGTCATTGCGCACAGACGCAACAGCGCCAGCCGACCCGGA
-AAGCGCCTGCGATAGAGGGCGCGGGCGAGGAATATCGCGGGTACGACAGAGAGTAGCGCCGAGAGAAACG
-CCTGCCAGAAGGAGAAGCGCACCACATGCCACAGGTAGCTGTCCTGCCAGACTGCCACCCAGTTACCCTG
-CGGCGCGTTCCACCACAGGGCGAGAAACGCCGCGAGCGCAACCGCTACCACCAGCGTGGCGGCGCTTACA
-CCTGGAATTAACCAGCCGGGAATTAACGGCTGACGGCGCGTTGCCATTCGCTAATCCATGCCTGACGTTG
-TGCAGCCACTTCAGCTGGTGTGAACTCCAGCGTGGTGGCCGGTTTGGTCAATTGTTCAAACCCGGCAGGC
-AGCGTGACATTTGCCACCGGATACATCCAGTTACCGGTTGGGATCGCATTCTGAAAAGCCGGAGAAACCA
-TAAACTGGAGGAATTTTTGCGCCAGCTCCGGCTGCTTGCTGGCAGCGGTGCGGGCGGCGACTTCCACCTG
-CAGATAGTGACCTTCGCTAAAGTTCGCGGCGGCGTAGTTATCTTTTTTCTCTTCGAGAATGTGATAAGCC
-GGAGAGGTGGTGTAACTCAGTACCAGATCGCTTTCACCTTTTAAAAACAGGCCGTAGGCTTCGCTCCAGC
-CTTTGGTGACCGTGACGGTTTTCTTCGCCAGTTTTTGCCAGGCTTGTGGGGCGTCATCGCCATAGACTTT
-TTGCATCCACAACAGCAGGCCCAGCCCCGGCGTACTGGTGCGCGGATCCTGATAAATCACCCGCCAGTTC
-TGATCGCTCTCAACCAATTCTTTCAGGCTTTGCGGCGGGTTTTTCAGTTTGTTCTTGTCATAGACGAAGG
-CGAAATAGCCGTAATCAAACGGGACGAAAGTGTCATTATTCCAGCCGCCGGGAACGTTAACGGCATCCGC
-TGCCACACCGCTTTTGGCAAATAGTCCGGTTTTACTGGCGGCGTCTAACAGATTGTTATCCAGCCCCAGC
-ACCACATCGGCTTTACTATTTTTGCCTTCCATCCGTAGACGGTTGAGAAGCGAAACGCCATCTTCCAGTG
-CCACCAGTTTCAGTTCGCAGTTACAGTCGGCTTCAAAAGCTTTTTTGATCTTTGGACCAGGCCCCCAGTC
-GGCGGCGAAGGAATCGTAGGTATAAACAGTCAGAACGGGTTTAGCGAAAACGGGCGCTGTGCACAGCAAC
-AGCAGGGGAAGACATTTTTTTAACACTTTGCACCTCAAAAAAGAGTGGCAAAGGACTTGAGAAGGAGCCT
-CAAATCCCTTCGCCGGCGTTATCCGGATCAGGTTCGACGGGTATTTTCTCAGCGCACGCGTTTGCGTGGC
-ACCCCGTTGAGAACGGCGTTAGTGTAGTGATTTTGTTATCTACCAGCAATCATGGATCCGGTGGCGCAAA
-CCACGCTGATTTAAAATCGAACCAGCCGAGGGTGTTCATGCGCAGGCCGCGCATACTGCGTTGCCCCTGA
-ATGATCAGCCAGTGGTGGATAAGCGGCACCATTGCTTTGCTGGCGACCAGTTGCTGGCACCAGTTCGCCA
-GGTTCATTTCGCCATTGCGCCAGCGGGCGGCGTCGGCTTGCCAGTCGATCGGAATACAGTGTTGGAGCAG
-CGGCACCTCGCACAAGTGCGCGAACAGCGAAAAATCCAGCGGCAGCGTAAAGTTGGCGCTGTTAAGCCAG
-ATATCGCTCTCGATCTCTCCTTCATGCCACTGATCGTAGCTGATCTCTTTGATTTCCAGCGTGACCTGGT
-GACTTGCCAGAATCTGCTGCATGATCCCGGCAATCACCCGATGCTCACTGTGATCCTGATAAAAGGTCAG
-GATGAGGCTTTCCAGGCCAGCCGGTTTTTCGCTCTTTATGGTGCGGGCATGGTGCCAACGGGGGAGCAGT
-CCATAAGCCGGGAACCACAGTTGCTGGTACTGTTCCTCAGCGAAATAGACCAGATTAGTTGGAGAAAGCA
-CATAGCTTACCCAGTCCCTGACTTGCTGATTCGCCCCGCGATGGGTGCGGCTGTCGAACAATAAATAGTA
-GCAACCTTCCTCCAGGCGGCTTTCAATCTCTTTTTCCTCACCCTGTGGACCTTTTAGCATCAGACCTCCA
-GCTGGCTCGTCGGCAATTTCCGGCAGAACCCAGACGTTAACTTCATCGATTAATGCCCGGTAACCGAAGA
-AGTCATCGAATGCCTGAATTTTCAGTTGATTGGTGGTGTTGCGGATCACCGCATACGGACCGGTGCCGAT
-GGGATGGCTGGCAAAGTTACTGAGGGTTTCCCATTCGCGCGGCAGGATCATCGCCGGAACTTGTCCCAGC
-AGTAACGGTAACCAGCGGTCCGGTTGCGTGAGATGGATATCCAGCGTCCAGGGCGTCGGCGACACAATGT
-CCGCAATATGCGAATAGAGCGGCAGCGTATTGATTCGTTTTAAAGAGGCGATCACGTCGTCCATTTCCAG
-TTCACGACCATGATGAAAATGGACTCCTGGACGCAAAAAGAAACGCCAGTGAAGCGGTGATATTTGCTGC
-CAGTGGTGGGCGATGTCTGCTTCCAGTTCCCCATTTTCCTCATTTATGCGCGTTAGCGAACTGAAGATTT
-GCCGGGCAATATGGGTTTCGGAACGGCGCAATGCGCTGCCAGGTAGCAGATTACGCAACGGACGATAGTA
-GAGCACGCGCAGGATGTGCCGCCCCTGGCGGAAGCTGCGGCCCAGATGAGAAACCAGCATTTGCCGCACA
-GTCGCTTTGTCGCCAACCAACTGCACTAGTTGGTCGATACGATCCTGCTCCAGCAGGTCTTCCGCCCGCT
-GTTGCTGAAGCGCCAGCCCGGTATAGAGGAATGTCAGACGCGAGCGTTTACCGCGCCCGACTTCCGCTTC
-CCACGTCAGCCAGCCGCGATCCTGCATGGTGTTGAGCAGGGTACGCATATGACGACGCGAGCAGCTCAAT
-AACGCTGCCAGTTCGTTGAGCGTTGTGTCCTGCGATTTACCCTCGCAGCATTGCCACAGGCGGATGAACT
-GTTGTTGCAGACGAGCAGATGGCATAAAAGGGGAACTCCTGCGCAAAAGACAGCAATTTTATTTTCCCTA
-TATTAAGTCAATAATTCCTAACGATGAAGCAAGGAGGTGCCCCATGCGTCAGTTTTATCAGCACTATTTT
-ACCGCGACAGCGAAGTTGTGCTGGTTGCGTTGGTTAAGCGTCCCACAACGATTAACCATGCTTGAAGAAC
-TGATGCAGTGGGATGACCGCAATTCTGAAAGTTGACTTGCCTGCATCATGTGTGACTGAGTATTGGTGTA
-AAATCACCCGCCAGCAGATTATACCTGCTGGTTTTTTTTATTCTCGCCGCGCTAAAAAGGGAACGTATGA
-TCTGGATAATGACGATGGCTCGCCGTATGAACGGTGTTTACGCGGCATTTATGCTGGTCGCTTTTATGAT
-GGGGGTGGCCGGGGCGCTACAGGCTCCTACATTGAGCTTATTTCTGAGTCGTGAGGTTGGCGCGCAACCT
-TTCTGGATCGGACTCTTTTATACGGTGAATGCTATTGCTGGGATCGGCGTAAGCCTCTGGTTGGCAAAAC
-GTTCTGACAGTCAGGGCGATCGGCGAAAACTGATTATATTTTGCTGTTTGATGGCTATCGGCAATGCGCT
-ATTGTTTGCATTTAATCGTCATTATCTGACGCTTATCACCTGTGGTGTGCTTCTGGCATCTCTGGCCAAT
-ACGGCAATGCCACAGTTATTTGCTCTGGCGCGGGAATATGCGGATAACTCGGCGCGAGAAGTGGTGATGT
-TTAGCTCGGTGATGCGTGCGCAGCTTTCTCTGGCATGGGTTATCGGTCCACCGTTGGCCTTTATGCTGGC
-GTTGAATTACGGCTTTACGGTGATGTTTTCGATTGCCGCCGGGATATTCACACTCAGTCTGGTATTGATT
-GCATTTATGCTTCCGTCTGTGGCGCGGGTAGAACTGCCGTCGGAAAATGCTTTATCAATGCAAGGTGGCT
-GGCAGGATAGTAACGTACGGATGTTATTTGTCGCCTCGACGTTAATGTGGACCTGCAACACCATGTACAT
-TATTGATATGCCGTTGTGGATCAGTAGCGAGTTAGGATTGCCAGACAAACTGGCGGGTTTCCTGATGGGG
-ACGGCAGCTGGACTGGAAATACCAGCAATGATTCTGGCTGGCTACTATGTCAAACGTTATGGTAAGCGGC
-GAATGATGGTCATAGCAGTGGCGGCAGGAGTACTGTTTTACACCGGATTGATTTTCTTTCATAGCCGTAT
-GGCGTTGATGACGCTGCAACTTTTTAACGCTGTATTTATCGGCATTGTTGCGGGTATTGGGATGCTATGG
-TTTCAGGATTTAATGCCTGGAAGAGCGGGGGCAGCTACCACCTTATTTACTAACAGTATTTCTACCGGGG
-TAATTCTGGCTGGCGTTATTCAGGGAGCAATTGCACAAAGTTGGGGGCACTTTGCTGTCTACTGGGTAAT
-TGCGGTTATTTCTGTTGTCGCATTATTTTTAACCGCAAAGGTTAAAGACGTTTGATGACGTGGACGATAG
-CGGAAAGCCCGGTCATTTGACCGGGCAAGGGGATTAATTCATAAACGCAGGTTGTTTTGCTTCATAAGCG
-GCAATGGCGTCGTCGTGCTGCAAGGTAAGCCCAATACTGTCCAGACCGTTCATCATGCAGTGGCGGCGGA
-AGGCATCGATGGTAAAGCGATAGGTTTTCTCTCCCGCTTTCACCTCTTGCGCTTCCAGATCCACGTCGAA
-ATGGATCCCCGGATTGGCTTTCACCAGCGCAAACAGTTCGTCCACTTCTGCATCGCTTAATTTCACCGGC
-AGCAGCTGGTTGTTAAAGCTATTGCCGTAGAAGATGTCAGCAAAACTCGGCGCAATCACCACTTTAAAAC
-CGTAGTCGGTCAATGCCCAGGGCGCGTGCTCACGCGAGGAGCCACAGCCGAAGTTTTCTCGTGCCAGCAA
-AATGGAAGCGCCCTGATACTGCGGGAAGTTCAGCACGAAGTCCGGGTTTGGCTGTTGGCCTTTTTCATCG
-AGAAAACGCCAGTCGTTAAACAGATGCGCGCCAAAACCCGTACGGGTCACTTTCTGCAAAAACTGTTTCG
-GGATGATTGCATCGGTATCGACATTGGCGGCATCCAGCGGAACCACCAGGCCTGTGTGTTTGATAAATTT
-CTCTGCCATGGTGTGCTCCTTATTTAATGTTGCGAATGTCGGCGAAATGTCCGGTCACAGCAGCAGCGGC
-AGCCATTGCCGGGCTGACCAGATGCGTGCGCCCGCCGCGCCCCTGGCGGCCTTCAAAGTTACGGTTGCTG
-GTGGATGCACAACGTTCGCCCGGATTCAGACGGTCGTTGTTCATCGCCAGACACATTGAGCAGCCAGGCA
-AGCGCCATTCAAAACCGGCTTCAATAAAGATTTTATCCAGACCTTCCGCTTCCGCCTGGGCTTTTACCGG
-TCCAGAGCCGGGAACCACCAGTGCCTGCACGCCTGGCGCGACTTTTCGCCCTTTGGCGATCTCCGCTGCC
-GCGCGTAAATCTTCAATGCGCGAGTTGGTACAGGAACCGATAAACACTTTGTCGATAGCCACTTCGGTCA
-GCGGAATGCCCGGTTTCAGCCCCATATAGGCCAGCGCTTTTTCTGCCGACGCGCGTTCAACCGGATCGGC
-AAACGAAGCCGGATCGGGAATATTGTCGTTCACGGAAATCACCTGGCCTGGATTGGTACCCCAGGTGACC
-TGCGGTGAAATTTCTTCTGCTTGCAGAGTGACAACGGTATCGAAAGTTGCGCCTTCGTCAGTTTGCAGGG
-TTTTCCAGTAGGCAACGGCGTCGTCGAAATCTTTGCCTTTCGGCGCATGCAAACGGCCTTTGACATAGTT
-AAAGGTGGTTTCGTCCGGTGCAACCAGACCGGCTTTTGCGCCCATTTCGATTGCCATATTGCACAGGGTC
-ATACGACCTTCCATGCTTAAATCACGGATTGCTTCGCCGCAAAACTCCACCACATGCCCGGTGCCGCCTG
-CGCTACCGGTTTTACCGATAATTGCCAGCACGATATCTTTTGCGGTAATGCCCGGCGCGGCTTTGCCCTG
-GACTTCAATTTTCATGGTTTTTGCGCGGCCCTGTTTCAGGGTTTGCGTTGCCAGTACGTGTTCAACTTCG
-GAAGTGCCGATACCAAAGGCCAGTGCGCCAAACGCGCCGTGGGTGGCGGTATGCGAGTCGCCGCAGACAA
-TGGTCATCCCCGGCAAGGTGACGCCCTGTTCCGGCCCCATTACGTGGACGATCCCCTGATACGGGTGATT
-CAGGTCATACAGTTCGACGCCAAATTCTTTGCAGTTTTTAATCAGCTCCTGCATCTGGATGCGCGCCATT
-TCACCACAGGCATTAATGTCTTTCGTCTGGGTAGAGACGTTGTGATCCATAGTGGCGAAGGTTTTGCCCG
-GCTGACGTACCGGGCGACCGTGGGCGCGCAGACCATCGAACGCCTGCGGTGAGGTCACTTCATGCACCAG
-GTGGCGGTCGATATATAACAGCGGGGTTTCGTTTTCGGCTTCGTACACTACGTGAGCGTCGAATAATTTT
-TCGTATAACGTTTTAGCCATGATTACACCCCTTCTGCCACATAGCGGGCAATGATATCGCCCATTTCATC
-GGTACTAACGGCGGCAGCGCCACGGGCTAAATCCCCGGTGCGAATGCCTTCTTCTAATGCGCGGTTAATG
-GCGCGTTCAATGGCGCAAGCCGCATCATCGGCATCCAGGCTGTAGCGCAGCAGCAGTGCCAGCGACAGAA
-TTTGCGCAATCGGGTTGGCGATGTTTTTGCCTGCGATATCTGGTGCTGAGCCGCCTGCCGGTTCATACAG
-ACCAAAACCTTGCTCGTTCAGGCTGGCGGAAGGCAACATCCCCATCGAGCCAGTGATCATTGCGCACTCG
-TCAGACAGAATGTCGCCAAACAGGTTGGAGCACAGCAGAACGTCAAACTGTGATGGATCTTTAATCAGCT
-GCATGGTGGCGTTGTCGATGTACATATGCGCCAGTTCGACATCCGGGTATTCCGTGGCGATCTCGTTGAC
-GATTTCACGCCATAAAATAGAGGATTGCAGCACGTTAGCTTTGTCGATTGAGGTGACTTTGTGGCGACGT
-TTACGAGCAGATTCAAACGCGATGCGGGCAATACGCTCGATCTCAAAACGGTGATACACCTCGGTATCAA
-ACGCTTTTTCATATTGTCCGCTACCTTCGCGGCCTTTTGGCTGACCGAAATAGATGCCGCCGGTCAGTTC
-GCGCACGCACAGGATGTCGAAGCCGTTAGCGGCAATGTCTGCACGCAGCGGACAGAATGCTTCCAGCCCC
-TGATACAGTTTTGCCGGGCGCAGGTTGCTGAATAATTTGAAGTGCTTACGCAAAGGCAACAGCGCGCCGC
-GTTCTGGTTGCTGGTCTGGTGGTAAATGTTCCCATTTCGGACCGCCTACCGAGCCAAACAGCACGGCATC
-GGCTTGCTCACAACCTTCAACCGTCGCAGGCGGCAGTGGTTGCCCGTGGTTATCAATGGCTGCACCGCCT
-ACATCGTAATGGCTGGTGGTGATGCGCATCGCAAAGCGGTTGCGCACGGCATCCAGCACTTTCAGCGCCT
-GGGTCATCACTTCCGGACCAATACCGTCCCCCGGCAATACGGCAATATGGTAATTCTTCGACATCACACG
-GTTTCCTTGTTGTTTTCGTTGTGTTGAGCTTTGCGTTGCAACTCTTTTTCGACTTCTGCGGCACGCCAGA
-TATTGTTCAGTACGTGCACCATGGCTTTGGCGGAGGACTCGACAATATCGGTGGCCAGGCCGACGCCGTG
-GAAGCGGCGACCGTTGTAGTTGGCGACAATATCCACCTGACCCAGCGCATCTTTACCGTGACCTTTGGCG
-GTCAGGCTGTATTTCACCAGTTCGACGTTATAGTCAGTGATGCGGTTAATTGCCTGATAGACGGCATCGA
-CCGGACCGTTACCGTTGGCGGCTTCTGCTTTGACTTCTTCGCCACAGGCCAGTTTGACGGCGGCGGTGGC
-GATATCGTTAGAGCCAGACTGCACGCTGAAGTAATCCAGACGGAAATGCTCCGGCTCTTCTTGCTGCTTA
-CCGATGAAGGCCAGCGCCTCCAGATCGTAATCAAACACCTGACCTTTTTTGTCCGCCAGCTTCAGGAAGG
-CGTCGTACAAATTGTCTAAATTATATTCACTTTCTTTATACCCCATCTCGTCCATGCGATGTTTCACCGC
-CGCACGCCCCGAACGAGAGGTCAGATTCAGCTGGATTTGGTTCAGACCAATAGATTCTGGTGTCATGATT
-TCGTAGTTTTCGCGGTTTTTCAGCACGCCATCCTGGTGGATACCGGAGGAGTGTGCGAATGCGCCGCTGC
-CAACAATGGCTTTGTTTGCCGGGATCGGCATATTACAAATCTGGCTAACTAACTGGCTGGTGCGCCATAT
-TTCCTGGTGATTAATGGCGGTGTGGACGTTGAGAATATCCTTACGAACTTTAATCGCCATGATGACTTCT
-TCCAGCGAACAGTTACCGGCACGCTCGCCGATCCCGTTCATTGCACCTTCCACCTGGCGTGCACCGGCAT
-GTACCGCCGCCAGTGAGTTGCCGACCGCCAGGCCTAAATCGTCGTGGGTATGTACGGAAATAATGGCTTT
-GTCGATGTTAGGTACGCGTTCATACAGGCCGCTGATGATTCCGGCGAACTCAAACGGCATGGTGTAGCCC
-ACGGTGTCCGGAATGTTGATGGTGGTGGCACCGGCATTAATCGCCGCTTCGACCACTCGCGCCAGATCGG
-CAATGGGTGTACGCCCGGCATCTTCGCAAGAAAATTCAACATCATCGGTGTAATTACGGGCGCGTTTCAC
-CATATAGATAGCGCGTTCGATCACCTCGTCCAGGGTGCTGCGCAGCTTGGTGGCGATGTGCATTGGGGAG
-GTAGCAATAAAGGTATGAATACGGAAGGCTTCGGCGACTTTCAGGGATTCGGCCGCCACGTCGATATCTT
-TTTCCACGCAGCGAGCTAACGCACATACGCGGCTGTTTTTAACCTGGCGGGCGATGGTTTGCACCGATTC
-AAAATCGCCCGGCGAAGAGACGGGGAAACCGACTTCCATCACGTCAACACCCATACGCTCAAGGGCCAGC
-GCAATTTGCAGTTTTTCTTTCACACTCAAGCTTGCCTGTAACGCCTGTTCACCGTCGCGCAATGTGGTAT
-CGAAAATAATGACTTGCTGGCTCATGGTTTGGGTCCTTGTCTCTTTTAGAGCGCCTCGCTTCGGGCATAA
-AAAAACCCGCGCAATGGCGCGGGTTTTTTGTTTGACTGCGTGCTGGCTTAATGCTGGATGCCGCTCACTC
-GTCTACCGCGCAAAGAAGATGCGTTTAGTAGTAGTAGACCGATAAAGCGAACGATGTGAGTCATTAAATC
-AGCTCCAGATGAATACGATATGCTTTTAGAGTTACTGGATACAAAAACGGATGTCAACCCTGACGCAATA
-AAAACGTCCCGCCAGCGTGAGTTCTGCACCCGTAAAATTAGCTAATTGTGCTGCGGTGGTTAAAGTAAGC
-GATATTAATTTCTGCTTAACTACCGACGCTTTTCATCGGTTGACATATTTCAGCATAAATTTTTGCATCT
-AATCAACGAGGAAAAAGGGGACAAAATGCACGCGTTGCAAAACCTATCCTGATGATTTGTATTGAATTAT
-ATGTTTTGCGATTTTTTTGATATTGATTTGGTGAATATTATTGATCGATTAATGTTAAGAATTAATGCAT
-TAAATGTATAAATTAATTATTAAATAAGCACATTTAATCCATTTTGTAGATGATTGAGTATTCGCGGTAG
-TTATGATTAGATTGTTTTCGCAACAAAAACATTATGGATTATTATGCTGTGGTAAATGACTCATTCCACG
-GCAATGGATTCTGTTTTTATCAGAACCCGTATCTTTATGTTTTCCGAATTTTACTCATTTTGCTTTTTCT
-TATTTTATATGCATGATAAATCATATTCTTCAGGATTATTTCTCTGCATTCCAATAAGGGAAAGGGAGTT
-AAGTGTGACAGTGGAGTTAAGTATGCCAGAGGTACAAACAGATCATTCAGAGACGGCGGAGTTAAGCAAG
-CCACAGCTACGCATGGTCGATCTCAACTTATTAACCGTTTTCGATGCCGTGATGCAGGAGCAAAACATTA
-CCCGTGCCGCTCATGTTCTGGGTATGTCGCAACCTGCGGTCAGTAACGCTGTTGCACGCCTGAAGGTGAT
-GTTTAATGACGAGCTTTTTGTTCGTTATGGCCGTGGTATTCAACCGACTGCTCGCGCATTTCAACTTTTT
-GGCTCAGTTCGTCAGGCATTGCAACTAGTACAAAATGAATTGCCTGGTTCAGGTTTTGAACCCGCGAGCA
-GTGAACGTGTATTTCATCTTTGTGTTTGCAGCCCGTTAGACAGCATTCTGACCTCGCAGATTTATAATCA
-CATTGAGCAGATTGCGCCAAATATACATGTTATGTTCAAGTCTTCATTAAATCAGAACACTGAACATCAG
-CTGCGTTATCAGGAAACGGAGTTTGTGATTAGTTATGAAGACTTCCATCGTCCTGAATTTACCAGCGTGC
-CATTATTTAAAGATGAAATGGTGCTGGTAGCCAGCAAAAATCATCCAACAATTAAGGGCCCGTTACTGAA
-ACATGATGTTTATAACGAACAACATGCGGCGGTTTCGCTCGATCGTTTCGCGTCATTTAGTCAACCTTGG
-TATGACACGGTAGATAAGCAAGCCAGTATCGCGTATCAGGGCATGGCAATGATGAGCGTACTTAGCGTGG
-TGTCGCAAACGCATTTGGTCGCTATTGCGCCGCGTTGGCTGGCTGAAGAGTTCGCTGAATCCTTAGAATT
-ACAGGTATTACCGCTGCCGTTAAAACAAAATAGCAGAACCTGTTATCTCTCCTGGCATGAAGCTGCCGGG
-CGCGATAAAGGCCATCAGTGGATGGAAGAGCAATTAGTCTCAATTTGCAAACGCTAACTGAATGCAGAAT
-AGGTCAGGCATGAATGTCTGGTTTATTCTGTATTTTTTATTGAATGTAGAATTTTATTCTGAATGTGTGG
-GCTCTCTGTTTTAGGATTAATTAAAAAAATAGAGAAATTGCTGTAAGTTGTGGGATTCAGCCGATTTATT
-ATCAATTTAATCCTTCGTAATGGAGGATTTTATCGTTTCTTTTCACCTTTCCTCCTGTTTATTCTTATTA
-CCCTGCGTTTATGTCTCTGGCTGCCAATTGCTTAAGCAAGATCGGACGGTTAATGTGTTTTACACATTTT
-TTCCGTCAAACAGTGAGGCAGGCCATGGAGATGTTGTCTGGAGCCGAGATGGTCGTCCGATCGCTTATCG
-ATCAGGGCGTTAAACAAGTATTCGGTTATCCCGGAGGCGCAGTCCTTGATATTTACGATGCATTGCATAC
-CGTGGGTGGTATCGATCATGTTTTAGTTCGTCATGAGCAGGCGGCAGTGCATATGGCCGATGGTCTGGCG
-CGCGCGACCGGGGAAGTCGGCGTCGTGCTGGTAACGTCGGGTCCAGGGGCGACCAATGCGATTACCGGCA
-TCGCCACCGCTTATATGGATTCCATTCCATTAGTTGTCCTTTCCGGGCAGGTAGCGACCTCGTTGATAGG
-TTACGATGCCTTTCAGGAGTGCGACATGGTGGGGATTTCGCGACCGGTGGTTAAACACAGTTTTCTGGTT
-AAGCAAACGGAAGACATTCCGCAGGTGCTGAAAAAGGCTTTCTGGCTGGCGGCAAGTGGTCGCCCAGGAC
-CAGTGGTCGTTGATTTACCGAAAGATATTCTTAATCCGGCGAACAAATTACCCTATGTCTGGCCTGAGTC
-GGTCAGTATGCGTTCTTACAATCCCACTACTACCGGACATAAAGGGCAAATTAAGCGCGCTCTGCAAACG
-CTGGTAGCGGCAAAAAAACCGGTTGTCTACGTAGGCGGTGGGGCAATCATGGCGGGCTGCCATCAGCAGT
-TGAAAGAAACGGTGGAGGCGTTGAATCTGCCCGTTGTTTCCTCATTGATGGGGCTGGGGGCGTTTCCGGC
-AACGCATCGTCAGGCACTGGGCATGCTGGGAATGCACGGTACCTACGAAGCCAATATGACGATGCATAAC
-GCGGATGTGATTTTCGCCGTCGGGGTACGATTTGATGACCGAACGACGAACAATCTGGCAAAGTACTGCC
-CAAATGCCACTGTTCTGCATATCGATATTGATCCTACTTCCATTTCTAAAACCGTGACTGCGGATATCCC
-GATTGTGGGGGATGCTCGCCAGGTCCTCGAACAAATGCTTGAACTCTTGTCGCAAGAATCCGCCCATCAA
-CCACTGGATGAGATCCGCGACTGGTGGCAGCAAATTGAACAGTGGCGCGCTCGTCAGTGCCTGAAATATG
-ACACTCACAGTGAAAAGATTAAACCGCAGGCGGTGATCGAGACTCTTTGGCGGTTGACGAAGGGAGACGC
-TTACGTGACGTCCGATGTCGGGCAGCACCAGATGTTTGCTGCACTTTATTATCCATTCGACAAACCGCGT
-CGCTGGATCAATTCCGGTGGCCTCGGCACGATGGGTTTTGGTTTACCTGCGGCACTGGGCGTCAAAATGG
-CGTTGCCAGAAGAAACCGTGGTTTGCGTCACTGGCGACGGCAGTATTCAGATGAACATCCAGGAACTGTC
-TACCGCGTTGCAATACGAGTTGCCGGTACTGGTGGTGAATCTCAATAACCGCTATCTGGGGATGGTGAAA
-CAGTGGCAGGACATGATCTATTCCGGCCGTCATTCACAATCTTATATGCAATCACTACCCGATTTCGTCC
-GTCTGGCGGAAGCCTATGGTCACGTCGGGATCCAGATCTCTCATCCGCATGAGCTGGAAAGCAAACTTAG
-CGAGGCGCTGGAACAGGTGTGCAATAATCGCCTGGTGTTTGTTGATGTTACCGTCGATGGCAGTGAGCAC
-GTCTACCCGATGCAGATTCGCGGGGGCGGAATGGATGAAATGTGGTTAAGCAAAACGGAGAGAACCTGAT
-TATGCGCCGGATATTATCAGTCTTACTCGAAAATGAATCAGGCGCGTTATCCCGCGTGATTGGCCTTTTT
-TCCCAGCGTGGCTACAACATTGAAAGCCTGACCGTTGCGCCAACCGACGATCCGACATTATCGCGTATGA
-CCATCCAGACCGTGGGCGATGAAAAAGTGCTTGAGCAGATCGAAAAGCAATTACACAAGCTGGTCGATGT
-CTTGCGCGTGAGTGAGTTGGGGCAGGGCGCGCATGTTGAGCGGGAAATCATGCTGGTGAAAATTCAGGCC
-AGCGGTTACGGGCGTGACGAAGTGAAACGTAATACGGAAATATTCCGTGGGCAAATTATCGATGTCACCC
-CCTCGCTTTATACCGTTCAATTAGCAGGCACCAGCGATAAGCTTGATGCATTTTTAGCATCGATTCGCGA
-TGTGGCGAAAATTGTGGAAGTTGCTCGCTCTGGTGTGGTCGGACTTTCGCGCGGCGATAAAATAATGCGT
-TGAGAATGATCTCAGTGCGCAATTTGCAGCCCAACATGTCACGTTGGGCTTTTTTTGCGAAATCAGTGGG
-AACCTGGAATAAAAGCAGTTGCCGCAGTTAATTTTCTGCGCTTAGATGTTAATGAATTTAACCCATACCA
-GTACAATGGCTATGGTTTTTACATTTTACGCAAGGGGCAATTGTGAAACTGGATGAAATCGCTCGGCTGG
-CGGGAGTGTCGCGGACCACTGCAAGCTATGTTATTAACGGCAAAGCGAAGCAATACCGTGTGAGCGACAA
-AACCGTTGAAAAAGTCATGGCTGTGGTGCGTGAGCACAATTACCACCCGAACGCCGTGGCAGCTGGGCTT
-CGTGCTGGACGCACACGTTCTATTGGTCTTGTGATCCCCGATCTGGAGAACACCAGCTATACCCGCATCG
-CTAACTATCTTGAGCGCCAGGCGCGGCAACGGGGTTATCAACTGCTGATTGCCTGCTCAGAAGATCAGCC
-AGACAACGAAATGCGCTGCATTGAGCACCTTTTACAGCGTCAGGTTGATGCCATTATTGTTTCGACGTCG
-TTGCCACCTGAGCATCCTTTTTATCAACGCTGGGCTAACGACCCGTTCCCGATTGTCGCGCTGGACCGCG
-CCCTCGATCGTGAACATTTCACCAGCGTGGTTGGTGCCGATCAGGATGATGCCGAAATGCTGGCGGAAGA
-GTTACGTAAGTTTCCCGCCGAGACGGTGCTTTATCTTGGCGCGCTGCCGGAGCTTTCTGTCAGCTTCCTG
-CGTGAACAAGGTTTCCGTACTGCCTGGAAAGATGATCCGCGCGAAGTGCATTTCCTGTATGCCAACAGCT
-ATGAGCGGGAGGCGGCTGCCCAGTTATTCGAAAAATGGCTGGAAACGCATCCGATGCCGCAGGCGCTGTT
-CACAACGTCGTTTGCGTTGTTGCAAGGGGTGATGGATGTCACGCTACGTCGCGATGGTAAACTGCCTTCT
-GACCTGGCAATTGCCACCTTTGGCGATAACGAACTGCTCGACTTCTTACAGTGCCCGGTGCTGGCAGTGG
-CTCAACGTCACCGCGATGTCGCAGAGCGTGTGCTGGAGATTGTCCTGGCAAGCCTGGACGAACCGCGTAA
-GCCAAAACCTGGTTTAACGCGCATTAAACGTAATCTCTATCGCCGCGGTGTGCTCAGCCGTAGCTAAGCC
-GCGAACAAAAATACGCGCCAGGTGAATTTCCCTCTGGCGCGTAGAGTACGGGAATGGACATCAATATCCT
-TAAAGTAAATAAGACTATTCCTGACTATTATTGATAAGTTCTTTTAAACCCGCCCGTTAATTAACTCACC
-AGCTGAAATTCACAATAATTAAGTGATATCGACAGCGCGTTTTTGCATTATTTTGTTACATGCAGAGATG
-AATTGCCGATTTAACAAGCACTTTTCTTTGCTTTTGCGCAAACCCGCTGGCATCAAGCGCCACACAGACG
-CAACAGGGACTGTTAACCGGGGAAGATATGTCCTAAAATGCCGCTCGCGTCGCAAACTGACACTTTATAT
-TTGCTGTGGAAAATAGTGAGTCATTTTAAAACGGTGATGACGATGAGGGATTTTTTCTTACAGCTATTCA
-TAACGTTAATTTGCTGCGCACGTTGGACGTAAAATAAACAACGCTGATATTAGCCGTAAACATCGGGTTT
-TTTACCTCGGTATGCCTTGTGACTGGCTTGACAAGCTTTTCCTCCGCTCCGTAAACTCCTTTCAGTGGGA
-AATTGTGGGGCAAAGTGGGAATAAGGGGTGAGGCTGGCATGTTCCGGGGAGCAACGTTAGTCAATCTCGA
-CAGCAAAGGGCGCTTATCAGTGCCTACCCGTTACCGGGAACAGCTGCTTGAGAACGCTGCCGGTCAAATG
-GTTTGCACCATTGACATTCATCACCCGTGCCTGCTGCTTTACCCCCTACCTGAATGGGAAATTATCGAGC
-AAAAATTATCGCGTCTGTCGAGCATGAACCCGGTTGAGCGCCGTGTGCAGCGCCTACTGTTAGGTCATGC
-CAGCGAATGTCAGATGGATGGCGCAGGTCGATTGTTAATCGCGCCAGTACTGCGGCAACATGCCGGGCTG
-ACAAAAGAAGTGATGCTGGTTGGACAGTTCAACAAGTTTGAGCTGTGGGATGAAACAACCTGGCATCAAC
-AGGTCAAGGAAGATATCGACGCAGAGCAGTTGGCTACCGGAGACTTATCGGAGCGACTGCAGGACTTGTC
-TCTATAAAATGATGGAAAACTATAAACATACTACGGTGCTGCTGGATGAAGCCGTTAATGGCCTCAATAT
-CCGTCCTGATGGCATCTACATTGATGGGACTTTTGGTCGCGGTGGTCACTCACGTCTGATCCTCTCGCAG
-CTTGGCGAAGAGGGGCGTTTGCTGGCGATCGATCGCGACCCGCAGGCTATCGCCGTTGCGAAGACTATTG
-ATGATCCGCGCTTCTCCATCATCCACGGACCTTTCTCCGCGCTGGGCGAATACGTTGCCGAGCGCGATCT
-TATCGGCAAGATCGACGGCATTCTCCTCGATCTTGGCGTCTCTTCACCGCAACTTGATGATGCTGAGCGC
-GGCTTTTCCTTTATGCGCGATGGTCCGCTGGACATGCGTATGGACCCAACCCGTGGGCAGTCAGCCGCTG
-AATGGCTACAAACCGCAGAAGAAGCCGATATCGCCTGGGTATTGAAAACCTATGGTGAAGAGCGTTTTGC
-CAAACGCATTGCCCGCGCCATTGTCGAGCGTAACCGCGAACAGCCGATGACCCGCACCAAAGAACTGGCG
-GAAGTCGTGGCTGCTGCAACGCCGGTGAAAGATAAGTTTAAACATCCCGCGACCCGTACCTTCCAGGCGG
-TGCGCATTTGGGTAAACAGTGAACTGGAGGAGATAGAGCAGGCGCTAAAAAGCTCGCTCAACGTGCTGGC
-CCCGGGTGGGCGGCTTTCGATCATCAGCTTCCACTCGCTGGAAGACCGTATTGTGAAACGTTTTATGCGT
-GAAAACAGCCGCGGTCCGCAAGTTCCGGCAGGGTTACCGATGACTGAAGAGCAGCTCAAAAAACTGGGTG
-GCCGTCAGCTGCGAGCACTAGGCAAGTTAATGCCGGGCGAAGAAGAGGTGGCTGAGAACCCTCGTGCCCG
-TAGTTCAGTTCTGCGTATTGCAGAGAGGACGAATGCATGATCAGCAGAGTGACAGAAGCTCTAAGCAAAG
-TTAAAGGATCGATGGGAAGCCACGAGCGCCATGCATTGCCTGCTGTTATCGGTGACGATCTTTTGCGATT
-TGGGAAGCTGCCACTCTGCCTGTTCATTTGCATTATTTTGACGGCGGTGACTGTGGTAACCACGGCGCAC
-CATACCCGTTTACTGACCGCTCAGCGCGAACAACTGGTGCTGGAGCGAGATGCTTTAGACATTGAATGGC
-GCAACCTGATCCTTGAAGAGAATGCGCTCGGCGACCATAGCCGGGTGGAAAGGATCGCCACGGAAAAGCT
-GCAAATGCAGCATGTTGATCCGTCACAAGAAAATATCGTAGTGCAAAAATAAGGATAAACGCGACGCATG
-AAAGCAGCGGCGAAAACGCAGAAACCAAAACGTCAGGAAGAACATGCCAACTTTATCAGTTGGCGTTTTG
-CGTTGTTATGCGGCTGTATTCTCCTGGCGCTGGCTTTTCTGCTCGGACGCGTAGCGTGGTTACAAGTTAT
-CTCCCCGGATATGCTGGTGAAAGAGGGCGACATGCGTTCTCTTCGCGTTCAGCAAGTTTCCACCTCCCGC
-GGCATGATTACTGACCGTTCTGGTCGCCCGTTAGCGGTGAGCGTGCCGGTAAAAGCGATTTGGGCTGACC
-CGAAAGAAGTGCATGACGCTGGCGGTATCAGCGTCGGTGACCGCTGGAAGGCGCTGGCTAACGCGCTCAA
-TATTCCGCTGGATCAGCTTTCAGCCCGCATTAACGCCAACCCGAAAGGGCGCTTTATTTATCTGGCGCGT
-CAGGTGAACCCTGACATGGCGGACTACATCAAAAAACTGAAACTGCCGGGGATTCATCTGCGTGAAGAGT
-CTCGCCGTTACTATCCGTCCGGCGAAGTGACTGCTCACCTCATCGGCTTTACTAACGTCGATAGTCAAGG
-GATTGAGGGCGTTGAGAAGAGTTTCGATAAATGGCTTACCGGGCAGCCGGGTGAGCGCATTGTGCGTAAA
-GACCGCTATGGTCGCGTAATTGAAGATATTTCTTCTACTGACAGCCAGGCAGCGCACAACCTGGCGCTGA
-GTATTGATGAACGCCTGCAGGCGCTGGTTTATCGCGAACTGAACAACGCGGTGGCCTTTAACAAGGCTGA
-ATCTGGTAGCGCCGTGCTGGTGGATGTCAACACCGGTGAAGTGCTGGCGATGGCTAACAGCCCGTCATAC
-AACCCTAACAATCTGAGCGGCACGCCGAAAGAGGCGATGCGTAACCGTACCATCACCGACGTGTTTGAAC
-CGGGCTCAACGGTTAAACCGATGGTGGTAATGACCGCGTTGCAACGTGGCGTGGTGCGGGAAAACTCGGT
-ACTCAATACCATTCCTTATCGAATTAACGGCCACGAAATCAAAGACGTGGCACGCTACAGCGAATTAACC
-CTGACCGGGGTATTACAGAAGTCGAGTAACGTCGGTGTTTCCAAGCTGGCGTTAGCGATGCCGTCCTCAG
-CGTTAGTAGATACTTACTCACGTTTTGGACTGGGAAAAGCGACCAATTTGGGGTTGGTCGGAGAACGCAG
-TGGCTTATATCCTCAAAAACAACGGTGGTCTGACATAGAGAGGGCCACCTTCTCTTTCGGCTACGGGCTA
-ATGGTAACACCGTTACAGTTAGCGCGAGTCTACGCAACTATCGGCAGCTACGGCATTTATCGCCCACTGT
-CGATTACCAAAGTTGACCCCCCGGTTCCCGGTGAACGTGTCTTCCCGGAATCCATTGTCCGCACTGTGGT
-GCATATGATGGAAAGCGTGGCGCTACCAGGCGGCGGCGGCGTGAAGGCGGCGATTAAAGGCTATCGTATC
-GCCATTAAAACCGGTACCGCGAAAAAGGTCGGGCCGGACGGTCGCTACATCAATAAATATATTGCTTATA
-CCGCAGGCGTTGCGCCTGCGAGTCAGCCGCGCTTCGCGCTGGTTGTTGTTATCAACGATCCGCAGGCGGG
-TAAATACTACGGCGGCGCCGTTTCAGCGCCGGTCTTTGGTGCCATCATGGGCGGCGTATTGCGTACCATG
-AACATCGAGCCGGATGCGCTGACAACGGGCGATAAAAATGAATTTGTGATTAATCAAGGCGAGGGGACAG
-GTGGCAGATCGTAATTTGCGCGACCTTCTTGCTCCGTGGGTGCCAGACGCACCTTCGCGAGCACTGCGAG
-AGATGACACTCGACAGCCGTGTGGCTGCGGCGGGCGATCTCTTTGTAGCTGTAGTAGGTCATCAGGCGGA
-CGGGCGTCGATATATCCCGCAGGCGATAGCGCAAGGTGTGGCTGCCATTATTGCAGAGGCGAAAGGTGAG
-GCGACCGACGGTGAAATCCGTGAAATGCACGGCGTACCGGTCATCTATCTCAGCCAGCTCAACGAGCGTT
-TATCTGCACTGGCGGGCCGCTTTTACCATGAACCCTCTGACAATTTACGTCTCGTAGGCGTAACGGGCAC
-CAACGGCAAAACCACGACTACCCAGCTGCTGGCGCAGTGGAGCCAACTGCTTGGCGAAACCAGCGCGGTA
-ATGGGCACCGTTGGTAACGGTCTGCTGGGGAAAGTGATCCCGACAGAAAATACCACCGGTTCGGCAGTCG
-ATGTTCAGCATGAGCTGGCGGGGCTGGTGGATCAGGGCGCGACGTTTTGCGCAATGGAAGTTTCCTCCCA
-CGGGCTGGTACAGCACCGTGTGGCGGCATTGAAATTTGCGGCGTCGGTCTTTACCAACTTAAGCCGCGAT
-CACCTTGATTATCATGGTGATATGGAACACTACGAAGCCGCGAAATGGCTGCTTTATTCTGAACATCATT
-GTGGTCAGGCGATTGTTAACGCCGACGATGAAGTGGGCCGCCGCTGGCTGGCAAAACTGCCGGACGCGGT
-TGCGGTATCAATGGAAGATCATATCAATCCGAACTGTCACGGACGCTGGTTGAAAGCGACCGAAGTGAAC
-TATCACGACAGCGGCGCGACCATTCGCTTTAGTTCAAGTTGGGGCGATGGCGAAATTGAAAGCCATCTGA
-TGGGCGCTTTTAACGTCAGCAACCTGCTGCTCGCGCTGGCGACACTGCTGGCACTTGGCTACCCGCTGGC
-TGATCTGTTAAAAACCGCCGCGCGTCTGCAACCGGTTTGCGGACGTATGGAAGTGTTCACTGCGCCAGGC
-AAACCGACGGTGGTGGTGGATTACGCGCATACGCCGGATGCACTGGAAAAAGCCTTACAGGCGGCGCGCC
-TGCACTGTGCGGGCAAGCTGTGGTGCGTCTTTGGCTGTGGTGGCGATCGCGATAAAGGTAAGCGTCCACT
-GATGGGCGCAATTGCCGAAGAGTTTGCTGACGTGGCGGTGGTGACGGACGATAACCCGCGTACCGAAGAA
-CCGCGTGCCATCATCAACGATATTCTGGCGGGAATGTTAGATGCCGGACATGCCAAAGTGATGGAAGGCC
-GTGCTGAAGCGGTGACTTGCGCCGTTATGCAGGCTAAAGAGAATGATGTGGTACTGGTCGCGGGCAAAGG
-CCATGAGGATTACCAGATTGTTGGCAATCAGCGTCTGGACTACTCCGATCGCGTCACGGTGGCGCGTCTG
-CTGGGGGTGATTGCATGATTAGCGTAACCCTTAGCCAACTTACCGATATTCTCAACGGTGAACTGCAAGG
-TGCAGATATCACCCTTGATGCTGTAACCACTGATACCCGAAAACTGACGCCGGGCTGCCTGTTTGTTGCC
-CTGAAAGGCGAACGTTTTGATGCCCACGATTTTGCCGACCAGGCGAAAGCTGGCGGCGCAGGCGCACTAC
-TGGTTAGCCGTCCGCTGGACATCGACCTGCCGCAGTTAATCGTCAAGGATACGCGTCTGGCGTTTGGTGA
-ACTGGCTGCATGGGTTCGCCAGCAAGTTCCGGCGCGCGTGGTTGCTCTGACGGGGTCCTCCGGCAAAACC
-TCCGTTAAAGAGATGACGGCGGCGATTTTAAGCCAGTGCGGCAACACGCTTTATACGGCAGGCAATCTCA
-ACAACGACATCGGTGTACCGATGACGCTGTTGCGCTTAACGCCGGAATACGATTACGCAGTTATTGAACT
-TGGCGCGAACCATCAGGGCGAAATAGCCTGGACTGTGAGTCTGACTCGCCCGGAAGCTGCGCTGGTCAAC
-AACCTGGCAGCGGCGCATCTGGAAGGTTTTGGCTCGCTTGCGGGTGTCGCGAAAGCGAAAGGTGAAATCT
-TTAGCGGCCTGCCGGAAAACGGTATCGCCATTATGAACGCCGACAACAACGACTGGCTGAACTGGCAGAG
-CGTAATTGGCTCACGCAAAGTGTGGCGTTTCTCACCCAATGCCGCCAACAGCGATTTCACCGCCACCAAT
-ATCCATGTGACCTCGCACGGTACGGAATTTACCCTACAAACCCCAACCGGTAGCGTCGATGTTCTGCTGC
-CGTTGCCGGGGCGTCACAATATTGCGAATGCGCTGGCAGCCGCTGCGCTCTCCATGTCCGTGGGCGCAAC
-GCTTGATGCTATCAAAGCGGGGCTGGCAAATCTGAAAGCTGTTCCAGGCCGTCTGTTCCCCATCCAACTG
-GCAGAAAACCAGTTGCTGCTCGACGACTCCTACAACGCCAATGTCGGTTCAATGACCGCCGCTGTTCAGG
-TACTGGCTGAAATGCCGGGCTACCGCGTGCTGGTGGTGGGCGATATGGCGGAACTGGGCGCTGAAAGCGA
-AGCCTGCCATGTACAGGTGGGCGAGGCGGCAAAAGCTGCTGGTATTGACCGCGTGTTAAGCGTGGGTAAA
-CAAAGCCATGCTATCAGCACCGCCAGCGGCGTTGGCGAACATTTTGCTGATAAAACTGCGTTAATTACGC
-GTCTTAAATCACTGATTGCTGAGCAACAGGTAATTACGATTTTAGTTAAGGGTTCACGTAGTGCCGCCAT
-GGAAGAGGTAGTACGCGCTTTACAGGAGAATGGGACATGTTAGTTTGGCTGGCCGAACATTTGGTCAAAT
-ATTATTCCGGCTTTAACGTCTTTTCCTATCTGACGTTTCGCGCCATCGTCAGCCTGCTGACCGCGCTGTT
-CATCTCATTGTGGATGGGCCCGCGTATGATTGCTCATTTGCAAAAACTTTCCTTTGGTCAGGTGGTGCGT
-AACGACGGTCCTGAATCACACTTCAGCAAGCGCGGTACGCCGACCATGGGCGGGATTATGATCCTGACGG
-CGATTGTGATCTCCGTACTGCTGTGGGCTTACCCGTCCAATCCGTACGTCTGGTGCGTGTTGGTGGTGCT
-GGTAGGTTACGGTGTTATTGGCTTTGTTGATGATTATCGCAAAGTGGTGCGTAAAGACACCAAAGGGTTG
-ATCGCTCGTTGGAAGTATTTCTGGATGTCGGTCATTGCGCTGGGTATCGCCTTCGCCCTGTACCTTGCCG
-GCAAAGACACGCCCGCAACGCAGCTGGTGGTCCCATTCTTTAAAGATGTGATGCCGCAGCTGGGGCTGTT
-CTACATTCTGCTGGCTTACTTCGTCATTGTGGGTACTGGCAACGCGGTAAACCTGACCGATGGTCTCGAC
-GGCCTGGCAATTATGCCGACCGTATTTGTCGCCGGTGGTTTTGCGCTGGTGGCGTGGGCGACCGGCAACA
-TGAACTTTGCCAGCTATTTACACATACCGTATCTGCGACACGCCGGGGAACTGGTCATTGTCTGCACGGC
-GATAGTCGGGGCAGGACTGGGCTTCCTGTGGTTTAACACCTATCCGGCGCAGGTCTTTATGGGCGATGTA
-GGTTCGCTGGCGTTAGGTGGTGCGTTAGGCATTATCGCCGTACTGCTACGTCAGGAATTCCTGCTGGTGA
-TTATGGGGGGCGTGTTCGTGGTAGAAACGCTTTCTGTCATCCTGCAGGTCGGCTCCTTTAAACTGCGCGG
-ACAACGTATTTTCCGCATGGCACCGATTCATCACCACTATGAACTGAAAGGCTGGCCGGAACCGCGCGTC
-ATTGTGCGTTTCTGGATTATTTCGCTGATGCTGGTTCTGATTGGTCTGGCAACGCTGAAGGTACGTTAAT
-CATGGCTGATTATCAGGGTAAAAATGTCGTCATTATCGGCCTGGGCCTCACTGGGCTTTCCTGCGTGGAC
-TTTTTCCTCGCTCGCGGTGTGACGCCGCGCGTTATGGATACGCGTATGACACCGCCTGGCCTGGATAAAT
-TACCCGAAGCCGTAGAACGCCACACGGGCAGTCTGAATGATGAATGGCTGATGGCGGCAGATCTGATTGT
-CGCCAGTCCCGGTATTGCACTGGCGCATCCATCCTTAAGCGCTGCCGCTGATGCCGGAATCGAAATCGTT
-GGCGATATCGAGCTGTTCTGCCGCGAAGCACAAGCACCGATTGTGGCGATTACCGGTTCTAACGGCAAAA
-GCACGGTCACCACGCTAGTGGGTGAAATGGCGAAAGCGGCGGGGGTTAACGTTGGTGTGGGTGGCAATAT
-TGGCCTGCCAGCGTTGATGCTGCTTGATGCTGAGTGCGAACTGTACGTGCTGGAACTGTCGAGCTTCCAG
-CTGGAAACCACTTCCAGCTTACAGGCGGTGGCGGCGACCATTCTGAACGTGACTGAAGATCATATGGACC
-GCTATCCGTTTGGTTTGCAGCAATACCGTGCGGCAAAATTGCGTATTTACGAAAATGCGAAAGTTTGTGT
-CGTCAATGCTGATGATGCCTTAACAATGCCGATTCGCGGTGCTGATGAACGCTGCGTCAGCTTTGGCGTC
-AACATGGGTGACTATCACCTGAATCATCAGCAGGGAGAAACCTGGCTGCGAGTGAAAGGCGAGAAAGTGC
-TGAACGTGAAAGAGATGAAACTTTCCGGGCAGCATAACTACACCAATGCGCTGGCAGCACTGGCACTGGC
-AGACGCAGCTGGTTTGCCGCGCGCCAGCAGCCTGAAAGCGTTAACCACCTTCACCGGTCTGCCGCATCGC
-TTTGAAGTGGTGCTGGAGCACAATGGCGTACGCTGGATTAACGATTCGAAAGCCACTAACGTCGGCAGTA
-CGGAAGCGGCGTTGAATGGCTTGCAGGTAGACGGCACGCTGCATTTGTTGTTGGGCGGCGATGGTAAATC
-GGCGGACTTCAGTCCACTGGCGCGCTATCTGAATGGCGACAACGTGCGTTTGTACTGTTTTGGTCGTGAC
-GGTGCGCAGCTGGCGGCGCTACGCCCGGAAGTGGCAGAACAAACCGAAACTATGGAACAGGCGATGCGCT
-TGCTGGCTCCGCGTGTTCAGCCGGGCGATATGGTTCTGCTCTCCCCGGCCTGTGCCAGCCTTGATCAGTT
-CAAGAACTTTGAACAACGAGGCAATGAGTTTGCCCGTCTGGCGAAGGAGTTAGGTTGATGCGTTTATCTC
-TCCCTCGCCTGAAAATGCCGCGCCTGCCAGGATTCAGTATCCTGGTCTGGATCTCCACGGCGCTAAAAGG
-CTGGGTGATGGGCTCGCGGGAAAAAGATACCGACAGCCTGATCATGTACGATCGCACCTTACTGTGGCTG
-ACCTTCGGCCTTGCGGCGATTGGCTTTATCATGGTGACCTCGGCGTCAATGCCCATAGGGCAACGCTTAA
-CCAACGATCCGTTCTTCTTCGCGAAGCGTGATGGCGTCTATCTGATCCTGGCATTCATTCTGGCGATCAT
-TACGCTGCGTCTGCCGATGGAGTTCTGGCAACGCTACAGTGCCACGATGCTGCTCGGATCTATCATCCTG
-CTGATGATCGTGCTGGTAGTGGGTAGCTCGGTTAAAGGGGCATCGCGTTGGATCGATCTCGGTTTGCTGC
-GTATCCAGCCTGCGGAGCTGACAAAACTGTCGCTGTTTTGTTATATCGCCAACTATCTGGTGCGTAAAGG
-CGACGAAGTACGTAATAACCTGCGCGGCTTCCTGAAACCGATGGGCGTGATTCTGGTGTTGGCAGTGTTA
-CTGCTGGCACAGCCAGACCTTGGTACGGTGGTGGTGTTGTTTGTGACTACGCTGGCGATGTTGTTCCTGG
-CGGGAGCGAAATTGTGGCAGTTCATTGCCATTATCGGTATGGGCATTTCAGCGGTTGTGTTGCTGATACT
-CGCCGAACCGTACCGTATCCGCCGTGTTACCGCATTCTGGAACCCGTGGGAAGATCCCTTTGGCAGCGGC
-TATCAGTTAACGCAATCGCTGATGGCGTTTGGTCGCGGCGAACTTTGGGGACAAGGTTTAGGTAACTCGG
-TACAAAAACTGGAGTATCTGCCGGAAGCGCACACTGACTTTATTTTCGCCATTATCGGCGAAGAACTGGG
-GTATGTCGGTGTGGTGCTGGCACTTTTAATGGTATTCTTCGTCGCTTTTCGCGCGATGTCGATTGGCCGC
-AAAGCGTTAGAAATTGACCACCGTTTTTCCGGTTTTCTCGCCTGTTCTATTGGCATCTGGTTTAGCTTCC
-AGGCGCTGGTTAACGTAGGCGCGGCGGCGGGGATGTTACCGACCAAAGGTCTGACATTGCCGCTGATCAG
-TTACGGTGGTTCGAGCTTACTGATTATGTCGACAGCCATCATGATGCTGTTGCGTATTGATTATGAAACG
-CGTCTGGAGAAAGCGCAGGCGTTTGTACGAGGTTCACGATGAGTGGTCAAGGAAAGCGATTAATGGTGAT
-GGCAGGCGGAACCGGTGGACATGTATTCCCGGGACTGGCGGTTGCGCACCATCTAATGGCTCAGGGTTGG
-CAAGTTCGCTGGCTGGGGACTGCCGACCGTATGGAAGCGGACTTAGTGCCAAAACATGGCATCGAAATTG
-ATTTCATTCGTATCTCTGGTCTGCGTGGAAAAGGTATAAAAGCACTGATAGCTGCGCCGCTGCGTATCTT
-CAACGCCTGGCGTCAGGCGCGGGCGATTATGAAAGCGTACAAACCTGACGTGGTACTCGGTATGGGCGGC
-TATGTATCAGGTCCAGGTGGTCTGGCCGCGTGGTCGTTAGGCATTCCGGTTGTACTTCATGAACAAAACG
-GTATTGCGGGCTTAACCAATAAATGGCTGGCGAAGATTGCCACCAAAGTGATGCAGGCGTTTCCAGGCGC
-TTTCCCTAATGCGGAAGTGGTGGGTAACCCGGTGCGTACCGATGTACTGGCGCTGCCGTTGCCGCAGCAA
-CGTTTGGCTGGACGTGAAGGTCCGGTTCGTGTGCTGGTAGTGGGTGGTTCCCAGGGCGCACGCATTCTTA
-ACCAGACAATGCCGCAGGTTGCTGCGAAACTGGGTGATTCAGTCACTATCTGGCATCAGAGCGGTAAAGG
-TTCGCAACAATCCGTTGAACAGGCGTATGCCGAAGCGGGGCAACCGCAGCATAAAGTGACGGAATTTATT
-GATGATATGGCGGCGGCGTATGCGTGGGCGGATGTCGTCGTTTGCCGCTCCGGTGCTTTAACGGTGAGTG
-AAATCGCCGCGGCAGGACTACCGGCGTTGTTTGTGCCGTTTCAACATAAAGACCGCCAGCAATACTGGAA
-TGCGCTACCGCTGGAAAAAGCGGGCGCAGCCAAAATTATCGAGCAGCCACAGCTTAGCGTGGATGCTGTC
-GCCAACACCCTGGCCGGGTGGTCGCGAGAAACCTTATTAACCATGGCAGAACGCGCCCGCGCTGCATCCA
-TTCCGGATGCCACCGAGCGAGTGGCAAATGAAGTGAGCCGGGCTGCCCGGGCGTAATTGTAGCGATGCCT
-TTTGCATCGTATGAATTTAAGAAGTTAATGGCGTAAAGAATGAATACACAACAATTGGCAAAACTGCGTT
-CCATCGTGCCCGAAATGCGTCGCGTTCGGCACATACATTTTGTCGGCATCGGTGGTGCCGGTATGGGCGG
-TATTGCCGAAGTTCTGGCCAATGAAGGTTATCAGATCAGTGGTTCCGATTTAGCGCCAAATCCGGTCACG
-CAGCAGTTAATGAATCTGGGAGCGACGATTTATTTCAACCATCGCCCGGAAAACGTACGTGATGCCAGCG
-TGGTCGTTGTTTCCAGCGCCATTTCTGCCGATAACCCGGAAATTGTCGCAGCTCATGAAGCGCGTATTCC
-GGTGATCCGTCGTGCCGAAATGCTGGCTGAGTTAATGCGTTTTCGTCATGGCATCGCCATTGCAGGAACG
-CACGGCAAAACGACAACCACCGCGATGGTTTCCAGCATCTACGCAGAAGCGGGGCTCGACCCAACCTTCG
-TTAACGGCGGGCTGGTAAAAGCGGCGGGGGTTCATGCGCGTTTGGGGCATGGTCGGTACCTGATTGCCGA
-AGCAGATGAGAGTGATGCATCGTTCCTGCATCTGCAACCGATGGTGGCGATTGTCACCAATATCGAAGCC
-GACCACATGGATACCTACCAGGGCGACTTTGAGAATTTAAAACAGACTTTTATTAATTTTCTGCACAACC
-TGCCGTTTTACGGTCGTGCGGTGATGTGTGTTGATGATCCGGTGATCCGCGAATTGTTACCGCGAGTGGG
-ACGTCAGACCACGACTTACGGCTTCAGCGAAGATGCCGACGTGCGTGTAGAAGATTATCAGCAGATTGGC
-CCGCAGGGGCACTTTACGCTGCTGCGCCAGGACAAAGAGCCGATGCGCGTCACCCTGAATGCGCCAGGTC
-GTCATAACGCGCTGAACGCCGCAGCTGCGGTTGCGGTTGCTACGGAAGAGGGAATTGATGACGAGGCTAT
-TTTACGTGCGCTGGAGAGCTTCCAGGGGACTGGGCGCCGTTTTGATTTCCTCGGTGAATTCCCGCTGGAG
-CCAGTGAATGGTAAAAGCGGTACGGCAATGCTGGTCGATGACTACGGCCACCACCCGACGGAAGTTGACG
-CCACCATTAAAGCGGCGCGCGCAGGCTGGCCGGATAAAAACCTGGTAATGCTGTTTCAGCCGCACCGTTT
-TACCCGTACGCGCGACCTGTATGATGATTTCGCCAATGTGCTGACGCAGGTTGATACCCTGTTGATGCTG
-GAAGTGTATCCGGCTGGCGAAGCGCCAATTCCGGGAGCGGACAGCCGTTCGCTGTGTCGCACAATTCGTG
-GACGTGGGAAAATTGATCCCATTCTGGTGCCGGACCCTGCGCAGGTAGCCGAGATGCTGGCACCGGTATT
-AACCGGTAACGACCTGATTCTCGTTCAGGGGGCTGGTAATATCGGAAAAATTGCCCGTTCTTTAGCTGAA
-ATCAAACTGAAGCCGCAAACTCCGGAGGAAGAACAACATGACTGATAAAATCGCGGTCCTGTTGGGCGGG
-ACTTCCGCTGAGCGGGAAGTTTCTCTGAATTCTGGCGCAGCGGTGTTAGCCGGGCTGCGTGAAGGCGGTA
-TTGATGCGTATCCTGTCGACCCGAAAGAAGTCGACGTGACGCAACTGAAGTCGATGGGTTTTCAGAAAGT
-GTTTATCGCGCTACACGGTCGCGGCGGTGAAGATGGTACGCTGCAGGGCATGCTCGAGCTGATGGGCTTG
-CCTTATACCGGCAGCGGAGTGATGGCATCTGCGCTTTCAATGGATAAACTACGCAGCAAACTGCTGTGGC
-AAGGTGCCGGTTTACCGGTCGCGCCGTGGGTAGCGTTAACCCGCGCAGAGTTTGAAAAAGGCCTGAGCGA
-TAAGCAGTTAGCAGAAATTTCTGCTCTGGGTTTGCCGGTTATCGTTAAGCCGAGCCGCGAAGGTTCCAGT
-GTGGGAATGTCAAAAGTAGTAGCAGAAAATGCTCTACAAGATGCATTAAGATTGGCATTTCAGCACGATG
-AAGAAGTATTGATTGAAAAATGGCTAAGTGGGCCGGAGTTCACGGTTGCGATACTCGGTGAAGAAATTTT
-ACCGTCAATACGTATTCAACCGTCCGGAACCTTCTATGATTATGAGGCGAAGTATCTCTCTGATGAGACA
-CAGTATTTCTGCCCCGCAGGTCTGGAAGCGTCACAAGAGGCCAATTTGCAGGCATTAGTGCTGAAAGCAT
-GGACGACGTTAGGTTGCAAAGGATGGGGACGTATTGACGTTATGCTGGACAGCGATGGACAGTTTTATCT
-GCTGGAAGCCAATACCTCACCGGGTATGACCAGCCACAGCCTGGTGCCGATGGCGGCACGTCAGGCAGGT
-ATGAGCTTCTCGCAGTTGGTAGTACGAATTCTGGAACTGGCGGACTAATATGTCGCAGGCTGCTCTGAAC
-ACGCGAAATAGCGAAGAAGAGGTTTCTTCTCGCCGCAATAATGGAACGCGTCTGGCGGGGATCCTTTTCC
-TGCTGACCGTTTTAACGACAGTGTTGGTGAGCGGCTGGGTCGTGTTGGGCTGGATGGAAGATGCGCAACG
-CCTGCCGCTCTCAAAGCTGGTGTTGACCGGTGAACGCCATTACACGCGTAATGACGATATCCGGCAGTCG
-ATCCTGGCATTGGGTGAGCCGGGTACCTTTATGACCCAAGATGTCAACATCATCCAGACGCAAATAGAAC
-AACGCCTGCCGTGGATTAAGCAGGTGAGCGTCAGAAAGCAGTGGCCTGATGAATTGAAGATTCATCTGGT
-TGAATATGTGCCGATTGCGCGGTGGAATGATCAACATATGGTAGACGCGGAAGGAAACACCTTCAGCGTG
-CCGCCAGATCGCACCAGCAAGCAGGTGCTTCCAATGCTGTATGGCCCGGAAGGCAGCGCCAATGAAGTGT
-TGCAGGGTTATCGCGAAATGGGGCAGATGCTGGCAAAGGACAGATTTACTCTGAAGGAAGCGGCGATGAC
-CGCGCGGCGTTCCTGGCAGTTGACGCTGAATAACGATATTAAGCTCAATCTTGGCCGGGGCGATACGATG
-AAACGTTTGGCTCGCTTTGTAGAACTTTATCCGGTTTTACAGCAGCAGGCGCAAACCGATGGCAAACGGA
-TTAGCTACGTTGATTTGCGTTATGACTCTGGAGCGGCAGTAGGCTGGGCGCCCTTGCCGCCAGAGGAATC
-TACTCAGCAACAAAATCAGGCACAGGCAGAACAACAATGATCAAGGCGACGGACAGAAAACTGGTAGTAG
-GACTGGAGATTGGTACCGCGAAGGTTGCCGCTTTAGTAGGGGAAGTTCTGCCCGACGGTATGGTCAATAT
-CATTGGCGTGGGCAGCTGCCCGTCACGTGGTATGGATAAAGGCGGGGTGAACGACCTCGAATCCGTGGTC
-AAGTGCGTACAACGCGCCATTGACCAGGCAGAATTGATGGCAGATTGTCAGATCTCTTCGGTATATCTGG
-CGCTTTCTGGTAAGCACATCAGCTGCCAGAATGAAATTGGTATGGTGCCTATTTCTGAAGAAGAAGTGAC
-GCAAGAAGATGTGGAAAACGTCGTCCATACCGCGAAATCGGTGCGTGTGCGCGATGAGCATCGTGTGCTG
-CATGTGATCCCGCAAGAGTATGCGATTGACTATCAGGAAGGGATCAAGAATCCGGTAGGACTTTCGGGCG
-TGCGGATGCAGGCAAAAGTGCACCTGATCACATGTCACAACGATATGGCGAAAAACATCGTCAAAGCGGT
-TGAACGTTGTGGGCTGAAAGTTGACCAACTGATATTTGCCGGACTGGCATCAAGTTATTCGGTATTGACG
-GAAGATGAACGTGAACTGGGTGTCTGCGTCGTCGATATCGGTGGTGGTACAATGGATATCGCCGTTTATA
-CCGGTGGGGCATTGCGCCACACTAAGGTAATTCCTTATGCTGGCAATGTCGTGACCAGTGATATCGCTTA
-CGCCTTTGGCACGCCGCCAAGCGACGCCGAAGCGATTAAAGTTCGCCACGGTTGTGCGCTGGGTTCCATC
-GTTGGAAAAGATGAGAGCGTGGAAGTGCCGAGCGTAGGTGGTCGTCCGCCGCGGAGTCTGCAACGTCAGA
-CCCTGGCAGAGGTGATCGAGCCGCGCTATACCGAGCTGCTCAACCTGGTCAACGAAGAGATATTGCAGTT
-GCAGGAAAAGCTTCGCCAACAAGGGGTTAAACATCACCTGGCGGCAGGCATTGTATTAACCGGTGGCGCA
-GCGCAGATCGAAGGTCTTGCAGCCTGTGCTCAGCGCGTGTTTCATACGCAAGTGCGTATCGGCGCGCCGC
-TGAACATTACCGGTTTAACGGATTATGCTCAGGAGCCGTATTATTCGACGGCGGTGGGATTGCTTCACTA
-TGGGAAAGAGTCACATCTTAACGGTGAAGCTGAAGTAGAAAAACGTGTTACAGCATCAGTTGGCTCGTGG
-ATCAAGCGACTCAATAGTTGGCTGCGAAAAGAGTTTTAATTTTTATGAGGCCGACGATGATTACGGCCTC
-AGGCGACAGGCACAAATCGGAGAGAAACTATGTTTGAACCAATGGAACTTACCAATGACGCGGTGATTAA
-AGTCATCGGCGTCGGCGGCGGCGGCGGTAATGCTGTTGAACACATGGTGCGCGAGCGCATTGAAGGTGTT
-GAATTCTTCGCGGTAAATACCGATGCACAAGCGCTGCGTAAAACAGCGGTTGGACAGACGATTCAAATCG
-GTAGCGGTATCACCAAAGGACTGGGCGCTGGCGCTAATCCAGAAGTTGGCCGCAATGCGGCTGATGAGGA
-TCGCGATGCATTGCGTGCGGCGCTGGAAGGTGCAGACATGGTCTTTATTGCTGCGGGTATGGGTGGTGGT
-ACCGGTACAGGTGCAGCACCAGTCGTCGCTGAAGTGGCAAAAGATTTGGGTATCCTGACCGTTGCTGTCG
-TCACTAAGCCTTTCAACTTTGAAGGCAAGAAGCGTATGGCATTCGCGGAGCAGGGGATCACTGAACTGTC
-CAAGCATGTGGACTCTCTGATCACTATCCCGAACGACAAACTGCTGAAAGTTCTGGGCCGCGGTATCTCC
-CTGCTGGATGCGTTTGGCGCAGCGAACGATGTACTGAAAGGCGCTGTGCAAGGTATCGCTGAACTGATTA
-CTCGTCCGGGTTTGATGAACGTGGACTTTGCAGACGTACGCACCGTAATGTCTGAGATGGGCTACGCAAT
-GATGGGTTCTGGCGTGGCGAGCGGTGAAGACCGTGCGGAAGAAGCTGCTGAAATGGCTATCTCTTCTCCG
-CTGCTGGAAGATATCGACCTGTCTGGCGCGCGCGGCGTGCTGGTTAACATCACGGCGGGCTTCGACCTGC
-GTCTGGATGAGTTCGAAACGGTAGGTAACACCATCCGTGCATTTGCTTCCGACAACGCGACTGTGGTTAT
-CGGTACTTCTCTTGACCCGGATATGAATGACGAGCTGCGCGTAACCGTTGTTGCGACAGGTATCGGCATG
-GACAAACGTCCTGAAATCACTCTGGTGACCAATAAGCAGGTTCAGCAGCCAGTGATGGATCGCTACCAGC
-AGCATGGGATGGCTCCGCTGACCCAGGAGCAGAAGCCGGTTGCTAAAGTCGTGAATGACAATGCGCCGCA
-AACTGCGAAAGAGCCGGATTATCTGGATATCCCAGCATTCCTGCGTAAGCAAGCTGATTAAGAATTGACT
-GGAATTTGGGTTTCGAGGCTCTTTGTGCTAAACTGGCCCGCCGAATGTATAGTACACTTCGGTTGGATAG
-GTAATTTGGCGAGATAATACGATGATCAAACAAAGGACACTTAAACGTATCGTTCAGGCGACGGGTGTCG
-GCTTACATACCGGCAAGAAAGTCACCCTGACGTTACGCCCTGCGCCGGCCAACACCGGGGTCATCTATCG
-TCGCACCGACTTGAATCCACCGGTAGATTTCCCGGCCGATGCCAAATCTGTGCGTGATACCATGCTCTGT
-ACGTGTCTGGTCAACGAGCATGATGTACGGATTTCAACCGTAGAGCACCTCAATGCTGCTCTCGCGGGCT
-TGGGCATCGATAACATTGTTATCGAAGTTAACGCGCCGGAAATCCCGATCATGGACGGCAGCGCCGCTCC
-GTTTGTATACTTGCTGCTTGACGCCGGTATCGACGAGTTGAACTGCGCCAAAAAATTTGTTCGCATCAAA
-GAGACTGTTCGTGTCGAAGATGGCGATAAGTGGGCTGAATTTAAGCCGTACAATGGTTTTTCGCTGGATT
-TCACCATCGATTTTAACCATCCGGCTATTGATTCCAGCAACCAGCGCTATGCGATGAACTTCTCCGCTGA
-TGCGTTTATGCGCCAGATCAGCCGTGCGCGTACGTTCGGTTTCATGCGTGATATCGAATATCTGCAGTCC
-CGTGGTTTGTGCCTGGGCGGCAGCTTCGATTGTGCCATCGTTGTTGACGATTATCGCGTACTGAACGAAG
-ACGGCCTGCGTTTTGAAGACGAATTTGTGCGTCACAAAATGCTCGATGCGATCGGTGACTTGTTCATGTG
-TGGTCACAATATTATTGGTGCATTTACCGCTTATAAATCCGGTCATGCACTGAATAACAAACTGCTGCAG
-GCTGTCCTGGCGAAACAGGAAGCCTGGGAATATGTGACCTTCCAGGACGACGCAGAACTGCCGTTGGCCT
-TCAAAGCGCCTTCAGCTGTACTGGCATAACGACATTTATACTGTCGTATAAAATTCGACTGGCAAATCTG
-GCACTCTCTCCGGCCAGGTGAACCAGTCGTTTTTTTTTAAATTTTATAAGAGCTATAAAAAACGGTGCGA
-ACGCTGTTTTCTTAAGCACTTTTCCGCACAACTTATCTTCATTCGTGCTGCGGACTGCAGGCTTTAATGA
-TAAGATTTGTGCGCTAAATACGTTTGAATACGATCGGGATGGCAATAACGTGAGTGGAATACTGACGCGC
-TGGCGACAGTTTGGTAAACGCTACTTCTGGCCGCATCTCTTATTAGGGATGGTTGCGGCGAGTTTAGGTT
-TGCCTGCGCTCAGCAACGCCGCCGAACCAAACGCGCCCGCAAAAGCGACAACCCGCAACCACGAGCCTTC
-AGCCAAAGTTAACTTTGGTCAATTGGCCTTGCTGGAAGCGAACACACGCCGCCCGAATTCGAACTATTCC
-GTTGATTACTGGCATCAACATGCCATTCGCACGGTAATCCGTCATCTTTCTTTCGCAATGGCACCGCAAA
-CACTGCCCGTTGCTGAAGAATCTTTGCCTCTTCAGGCGCAACATCTTGCATTACTGGATACGCTCAGCGC
-GCTGCTGACCCAGGAAGGCACGCCGTCTGAAAAGGGTTATCGCATTGATTATGCGCATTTTACCCCACAA
-GCAAAATTCAGCACGCCCGTCTGGATAAGCCAGGCGCAAGGCATCCGTGCTGGCCCTCAACGCCTCACCT
-AACAACAATAAACCTTTACTTCATTTTATTAACTCCGCAACGCGGGGCGTTTGAGATTTTATTATGCTAA
-TCAAATTGTTAACTAAAGTTTTCGGTAGTCGTAACGATCGCACCCTGCGCCGGATGCGCAAAGTGGTCAA
-CATCATCAATGCCATGGAACCGGAGATGGAAAAACTCTCCGACGAAGAACTGAAAGGGAAAACCGCAGAG
-TTTCGTGCACGTCTGGAAAAAGGCGAAGTGCTGGAAAATCTGATCCCGGAAGCTTTCGCCGTGGTACGTG
-AGGCAAGTAAGCGCGTCTTTGGTATGCGTCACTTCGACGTTCAGTTACTCGGCGGTATGGTTCTTAACGA
-ACGCTGCATCGCCGAAATGCGTACCGGTGAAGGTAAAACCCTGACCGCAACGCTGCCTGCTTACCTGAAC
-GCACTAACCGGTAAAGGCGTGCACGTAGTTACCGTCAACGACTACCTGGCGCAACGTGACGCCGAAAACA
-ACCGTCCGCTGTTTGAATTCCTTGGCCTGACTGTCGGTATCAACCTGCCGGGCATGCCAGCACCGGCAAA
-GCGCGAAGCTTACGCAGCTGACATCACTTACGGTACGAACAACGAATACGGCTTTGACTACCTGCGCGAC
-AATATGGCGTTCAGCCCTGAAGAACGTGTACAGCGTAAACTGCACTATGCGCTGGTGGACGAAGTGGACT
-CCATCCTGATCGATGAAGCGCGTACACCGCTGATCATTTCCGGCCCGGCAGAAGACAGCTCGGAAATGTA
-TAAACGCGTGAATAAAATTATTCCGCACCTGATCCGTCAGGAAAAAGAAGACTCCGAAACCTTCCAGGGC
-GAAGGCCACTTCTCGGTGGACGAAAAATCTCGCCAGGTGAACCTGACCGAACGTGGTCTGGTGCTGATTG
-AAGAACTGCTGGTGAAAGAGGGCATCATGGATGAAGGGGAGTCTCTGTACTCTCCGGCCAACATCATGCT
-GATGCACCACGTAACGGCGGCGCTGCGCGCTCATGCGCTGTTTACCCGCGACGTCGACTACATCGTTAAA
-GATGGTGAAGTTATCATCGTTGACGAACACACCGGTCGTACCATGCAGGGCCGTCGCTGGTCCGATGGTC
-TGCACCAGGCTGTGGAAGCGAAAGAAGGTGTGCAGATCCAGAACGAAAACCAAACGCTGGCTTCGATCAC
-CTTCCAGAACTACTTCCGTCTGTATGAAAAACTGGCGGGGATGACCGGTACTGCTGATACCGAAGCTTTC
-GAATTTAGCTCCATCTACAAGCTGGATACCGTCGTTGTTCCGACCAACCGTCCAATGATTCGTAAAGATC
-TGCCGGACCTGGTCTACATGACTGAAGCGGAAAAAATTCAGGCGATCATTGAAGATATCAAAGAACGTAC
-TGCGAAAGGCCAGCCGGTGCTGGTGGGTACTATCTCCATCGAAAAATCGGAGCTGGTGTCAAACGAACTG
-ACCAAAGCCGGTATTAAGCACAACGTCCTGAACGCCAAATTCCACGCCAACGAAGCGGCGATTGTTGCTC
-AGGCAGGTTATCCGGCTGCGGTGACTATCGCGACCAATATGGCGGGTCGTGGTACAGATATTGTGCTCGG
-TGGTAGCTGGCAGGCAGAAGTTGCCGCGCTGGAAAATCCGACCGTAGAGCAAATTGAAAAAATTAAAGCC
-GACTGGCAGGTACGTCACGATGCGGTACTGGAAGCAGGTGGCCTGCATATCATCGGTACCGAGCGTCACG
-AATCCCGTCGTATCGATAACCAGTTGCGCGGTCGTTCTGGTCGTCAGGGGGATGCTGGTTCTTCCCGTTT
-CTACCTGTCGATGGAAGATGCGCTGATGCGTATTTTTGCTTCCGACCGAGTATCCGGCATGATGCGTAAA
-CTGGGTATGAAGCCAGGCGAAGCCATTGAACACCCGTGGGTGACTAAAGCGATTGCCAACGCCCAGCGTA
-AAGTTGAAAGTCGTAACTTCGACATTCGTAAGCAACTGCTGGAATATGATGACGTGGCTAACGATCAGCG
-TCGCGCCATTTACTCCCAGCGTAACGAACTGCTGGATGTCAGCGATGTGAGCGAAACCATCAACAGCATT
-CGTGAAGATGTGTTCAAAGCCACCATTGATGCCTACATTCCGCCACAGTCGCTGGAAGAAATGTGGGATA
-TTCCGGGGCTGCAGGAACGTCTGAAGAACGATTTCGACCTCGATTTACCAATTGCCGAGTGGCTGGATAA
-AGAACCAGAACTGCATGAAGAGACGCTGCGTGAGCGCATTCTGGCGCAGTCCATCGAAGTGTATCAGCGT
-AAAGAAGAAGTGGTTGGTGCTGAGATGATGCGTCACTTCGAGAAAGGCGTCATGCTGCAAACGCTTGACT
-CCCTGTGGAAAGAGCACCTGGCAGCGATGGACTATCTGCGTCAGGGTATCCACCTGCGTGGCTATGCACA
-GAAAGATCCGAAGCAGGAATACAAACGTGAATCGTTCTCCATGTTTGCAGCGATGCTGGAGTCGTTAAAA
-TATGAAGTTATCAGCACGCTGAGCAAAGTCCAGGTACGTATGCCTGAAGAGGTTGAGGAGCTGGAACAAC
-AGCGTCGTATGGAAGCCGAGCGTTTAGCGCAAATGCAGCAGCTTAGCCATCAGGATGACGACTCTGCAGC
-CGCAGCTGCACCGGCGGCGCAAACCGGTGAGCGCAAAGTAGGACGTAACGATCCTTGCCCGTGCGGTTCT
-GGTAAAAAATACAAGCAGTGCCATGGTCGCCTGCAATAAAAGCTAACAGTTGAAGTAAAAGGCGCAGGAT
-TCTGCGCCTTTTTTATAGGTTTAAGACAATGAAAAAGCTGCAAATTGCGGTAGGTATTATTCGCAACGAG
-AACAATGAAATCTTTATAACGCGTCGCGCAGCAGATGCGCACATGGCGAATAAACTGGAGTTTCCCGGCG
-GTAAAATTGAAATGGGCGAAACGCCGGAACAGGCGGTGGTGCGTGAACTTCAGGAAGAAGTCGGGATTAC
-CCCACAACATTTTTCGCTATTTGAAAAACTGGAATATGAATTCCCGGACAGGCATATAACTCTGTGGTTC
-TGGCTGGTCGAAAGCTGGGAAGGGGAACCGTGGGGTAAAGAAGGGCAACCCGGTGAGTGGATGTCGCTAG
-TCGGTCTTAATGCCGATGATTTTCCGCCAGCCAATGAACCGGTAATTGCGAAGCTTAAGCGTCTGTAGGT
-CGGATAAGGCGTTCACGCCGCATCCGACATTTGCACAAGATGCCTGATGCGACGCTGTCCGCGTCTTATC
-AGTATCTACGTGCGGCATCAGACAAATGTCACTGCTTTGGCTCTTCGCTCCAGTCATCGCTTTCGGAAAG
-ATCGCCACTGCTGGGGATTCGTTTTTCTTCAGCAGCCCATTCTCCGAGGTCGATCAGCTGACAACGTTTG
-GAGCAAAATGGCCGAAACGGGCTGATTTCACCCCACACCACCGTTTTCCCGCAGGTTGGGCAATTCACCG
-TAATAGTTTCTGACATTTTCACTCCTTAGCAACAGGCCAGTTCGAAATCCAGACGTTCCGGTACCTGTCC
-GTTTTCAGTGTCCAGCGGCATAAAACGAATGGCAAAACGGCTCTTATGTCCGGAAATTTGCGGATAAAGC
-TGTGAATCGAGCGACAGATTCAGGCGCAGCAAGTCGGCATCGCCACCGTTATCCTGATAAAAACCATTCA
-GGCTGGTTTGTTTACGGAAGGGAGCCGACTGGCGAATTAAATCCAGCACCATGGTAAGTGCCTGGGTGAG
-CGGGTTCAGGCTGGCAATCCAGGTTTCTACCTGGCTGTCGCGCTGCGCCTGGGGTAGATGCAGCCAAATG
-TGCAATGTAGGTAAATCAAAGCTGCAACAGCCGCCTGGGATGCTCAGTCGCTGACGCACCAGAGCAATCA
-AACGATCTTCACGCAGAAATTGCCCGATACGCGGCGCGGAAATTAATACGCTCCCCGCCGCTTTTAACTG
-CTGAATTAATGCTTCAATACGGCTCTGGTCCACGCCAGGCACGCCAATCCAGGTCTGGAGTTTACGTTGC
-TGCCGGTCAAGTTCTTTCAACAGCTCAGTGCGGACTTCGCCGCGCTCGAAAACATCCAGTAATTCACTGA
-CATTACGGAAGAAATGCAGCGCGCCAGCGTGGTCAACGATGGGTAAATTAACGGTGAGTTGCTGAATCAA
-AAACTCAATGCGCAGCCATGTACGCATTTTTTCATTTAGTGGATGTTCAAAAAGGACCTGGGTCTGCATT
-ACGGTTTTTCCTGTGAGACAAACTGCGACGCAAGCTGCAAATAGTGTGCGTGCAGGCGGGCAACATCCGA
-TGCGATAGCATCCGGTGCGCCGTTATTATCAATGACGTCATCTGCCACGGCAAGGCGGGCTTCGCGCGTT
-GCCTGAGCAGCAAGGATTTGTTCGACATGCTCGCGAGTTACATCATCGCGCTGCATGGTGCGCTTAAGTT
-GCGTTTCTGGGCTGACATCCACCACCAGCACTCGATTCGCTTTTTTATACAGTGAGTTTTCTACCAGCAA
-TGGCACAACCCACAGTACATAGGGGGAAGTAGCTTGCTGGATCTGGTGTTGCGTCTCTTGCTGAATCAGC
-GGATGCAGCAGGGCGTTAAGCCAGTTTTTCTCTTCTGGGTTGGCGAAGATCCGCTCGCGCAAGGCCCGGC
-GCTGCAATGTTCCATCAGCAGCAATCATGTTAGCGCCAAAGTGATCAGCAATGGCATGTAGCGCAGGTGC
-ACCTGGTTCAACCACCTGACGCGCAATAATATCGGCATCAATGACGTTAATTCCGAGATCAGCAAACGCA
-TTGGCAACGGTACTCTTGCCACTGCCAATGCCTCCCGTTAAGGCAACTATATACCTCATAATTTATATTC
-CCGGGAATTCATCATGATTATCAAAACGTTAAAAATGAGTGCACGAAAGCGAAATTGATGAAACGTTCGC
-TCACTATTTACCAGGTAAATTTATGGGATTGTAGCGTAAAAAAAGACAATTTCGCAGTCTTGCGCCGCAT
-TGATTAGTGCGTATGATAGCGTCACTGGAGTTGCGCTCTTACCCTTATAGCCATTAACCCCAGGAATCCG
-CACATGCGTATTGAAGAAGATCTGAAGTTAGGTTTTAAAGACGTTCTCATCCGCCCTAAACGCTCCACTC
-TTAAAAGCCGTTCCGATGTTGAACTGGAACGTCAATTCACCTTCAAACATTCAGGTCAGAGCTGGTCCGG
-CGTGCCAATTATCGCCGCAAATATGGACACCGTAGGTACATTTTCTATGGCCTCTGCGCTGGCTTCTTTT
-GATATTTTGACTGCTGTGCATAAACACTATTCTGTCGAAGAGTGGCAAGCGTTTATCAACAATTCTTCCG
-CTGATGTGCTGAAACATGTGATGGTTTCTACCGGTACGTCTGATGCGGATTTCGAAAAAACTAAACAGAT
-TCTCGACCTGAACCCGGCATTAAACTTCGTTTGTATTGATGTGGCGAATGGTTATTCCGAACACTTCGTG
-CAGTTCGTTGCGAAAGCGCGTGAAGCGTGGCCGACCAAAACCATTTGTGCTGGCAACGTAGTGACTGGTG
-AAATGTGTGAGGAGCTTATCCTCTCCGGTGCTGATATCGTTAAAGTTGGCATTGGCCCAGGTTCTGTTTG
-TACAACTCGCGTCAAAACAGGCGTCGGTTATCCGCAGCTTTCTGCGGTAATCGAATGTGCCGATGCGGCG
-CACGGTCTGGGCGGAATGATCGTCAGCGACGGTGGCTGCACCACGCCGGGCGATGTCGCAAAAGCCTTTG
-GCGGCGGTGCCGATTTCGTCATGCTTGGCGGCATGCTGGCGGGCCACGAAGAGAGCGGCGGTCGCATCGT
-TGAGGAGAACGGCGAGAAATTTATGCTGTTCTACGGCATGAGCTCCGAGTCTGCGATGAAACGTCACGTT
-GGCGGCGTTGCGGAATATCGCGCAGCAGAAGGTAAAACCGTTAAGCTGCCGCTGCGAGGCCCGGTTGAAA
-ATACCGCGCGTGATATTTTGGGCGGCCTGCGTTCAGCTTGTACATACGTTGGGGCTTCACGCCTGAAAGA
-ACTGACCAAGCGCACCACATTTATCCGTGTGCAGGAACAAGAAAACCGCATCTTCAACAACCTGTAATCT
-TCCAACGCTGGTGTGGAGCAACACGCCAGCGTTATCCCATCCCACTCATCGCATCGCCTAAATGGAAAAT
-TGGCAGATACATCGCCACCACCAGCGTACCGATAATTCCTCCCGTTATGATCAGCAACGCCGGTTCCAGT
-AAGGCTGCGAGGTTATCCGCCAGCGCCATTGTGTTATCCCGATGATGATGGGCGAGGTTGTCTAACATGA
-GGTCCAGCGAGCCGGATGCCTCTCCTGTTCTCACTAATTGCAAACAGAGCGGGCTAAACTCCCCGGTATT
-TTTTAGCGCCAGCCAGATGGGATGACCGTTACTGATATCGTGCTGGATTTGTGTCAGAAGTTGCACCCAG
-TACGGGCAGCGCATTGTTTCTCTGACGCTCTCTACGCCCTGCAAAAAAGTAATGCCTGCACTTTGTGTCA
-GCGCCAGAATCGTAAAAATCTGCGTGAGTTTTTGTCCCCGCATCAGTGAACCCATAATCGGGATGCGTAA
-CAGCAATTTCTGCCGCACTATAAGCCAGGTCGGTCGGCGCATCAGCAACTTATTGGCTATCGCCAGCAGA
-AAGCCGAACAACACCAGCAGCCAGCTCCATTCGCCACTAAAGTCTGCCAGCGTCATGATCCCCTGCGTTA
-GTGCCGGTAGTGGGGTGTTGAAGGTCTTATAGATAGCGGCAAACTCCGGCAGAACAAAATGCAGCATTGC
-CACAACCACCATGATTGCCATCGCTAAAATGATGATGGGATAACGTAACGCTGATTTCACTTTGTCGGTC
-AACTGACGCTGGGCTTTTTGCTGACGCGCCAGTTCAAAGCAGCATTCATCCAGCTTACCGGTCAGTTCAC
-CCGTGCGGATCATCGCCTGATAGAGTGGCGGAAATACCTCTGACCAGGGTAATAAGGCATTGGAAAAAGC
-AATGCCCTGTTCGAGATCGTGCGCCAGCGATTGCAGCAACGCTTGCCATTGCTTACTGGGATGCTGTTCC
-GCCAGCAGTGCCAGCCCTTCAGAAAGCGTTAACCCGGCTTTGAGTAGCGTCGCCAGTTGATGAATGACTT
-CCGCGCTTTTATCTCCTCGCCACTGCGCAGAATTGATGGCGATTCGCTTCAGGCTAAGTGGGGTAACCAT
-CTGTTGCTGTAGTGCCATGAGCAGCAAAGCACGGCTCTCTGCCCATAGCATCCCATCTTGCGCATTGCCG
-TCGCCGGTTATGCCATGCCAGCGCCAGAGTTGCTTACTCGCCATGCGGCATCCCCAGTACGCGGATTAAC
-TCTTCAAAGGTGGTTAAGCCTTGCTCCACGGCCAGGCAGCCGTTTTCAAAAAGCGTACGCATACCCGCCT
-GTCGTGCGTGCGTTTCCAGCGATTCAACGTCGGTATTAGCGGAAATAAGCTGACGAATGACCGGCGTTAT
-GGGCAGAACTTCAAATAAGGCCGTACGACCATAAAAACCGTGGTAGCAATGTACACAACCGGGTGCCTGC
-CAGTGGGGCAGCGGCGATGGCCATACATTGTCTGGAATGTGGATGGGCTCCCCTTGCTGCCGGCGACAAT
-GTGGGCAAAGTTTGCGTACCAGACGCTGGGCTATTACCAGCGTAAGCGCCGATGATAGCATCCAGCGGGC
-GACCCCCATTTGCTGTAAACGTACCAGCGTTTCGCAGGTGGAATTAGTGTGTAGGGTAGACAACACCAGG
-TGACCAGTTTGCGCCGCTTTAATAGCGATCTCTGCTGTTTCGCCATCGCGGATCTCTCCGATCATGATGA
-CGTCAGGATCCTGGCGCAATAACGCACGCAACACGCCCTGAAAGGTGAGTCCGGCACGCGGATGGATTTG
-CGTCTGGTTTAGTCCGGCTATAGGGATCTCAACCGGATCTTCGACGCTACAAATATTAATGTCAGCGGTA
-TTCAGCGTTTGCAGGGCACTATAAAGCGTGACCGTTTTGCCGCTGCCTGTAGGGCCAGTTACCAGCACCA
-GTCCCTGTGGTTGTTGCAAGGCATGAGCAAAGTCCGCCAGTTGTAACGGCTGCATTCCAAGCGTGTTGAC
-ATCCAGTGCCTGGCTCACCTGCTGTAACAACCTTAATACCACCTTTTCACCACCCCGACATGGTAAGGTC
-GCAATACGAAATGAGACGGCGTTTCCTGCCAGTTCGACAGTGAATTGCCCGTCCTGCGGCAGGCGATGTT
-CCGCAATATCCAGGTTTCCCAGCACTTTTAATCTGGCGGTTAATGCGACTCCGGCATCCGGTGAAACATC
-CGGTAAAGGATGCAATACGCCGTCGATACGCAAGCGGATGCGGTAGGCATTGTCCGCTGGTTCGATATGA
-ATATCAGACGCGCGTTGTTCCAGCGCAGATTGTAACGTTCGAGTTAGCAACTCTGCTTTGGGCTGATGCT
-TCTCCTGAACAGCTACGGGCAATGTCTGTTGTGTGCGACTGGCGTGACCTTCCATTTGTTGGCGCGTCCA
-GCAGGTGATCTCAATACGTTTGGTGGTAGCGAAATGCAATGCGTCCAGTAGCTCATGCGAAGGTGCATCG
-ACTACCGCAACATGAACCACCTCTTCGCTGGCATCCAGCAAGACTCCATGATAACGCAGACACAGGGCAG
-TGAGCTGTGGAATATTCATTGCCGCTCCTTAGTTGGCGTCATCAAAGCGGAAGACATCTTCGCAGGCTTG
-ATGCAATGCGCTGTCACTTTGAATATTGCAGTTGCGCGTCCAGCCGGTGACGCCGTTTGCGTTATCCCAA
-CCCGGTGTCATGACGACGCTTAGCCCATTGAGACTTTCTTGCCCGGTCAGCGACACCACGCCCTTTGCCA
-CACTCATGGCTGAAACATAGCGGGTGGTGGTAGGCGAGGGAATGCCATTGCTGCCACCGTCGCAGGTATC
-TAATCCACCATGTTCCAGCGCGCACAACTCTACGGCGGTACGGTAAGGCACAAAGGTTTGTAGCATGTCG
-GTGAGTGCGGCTTTGCGCAGGTAGTTTTGATAAGCGGGAATACCAATGGCGCTTAAAATGGCAATGATGC
-CAATAACCACCATCAGTTCGATAAGTGTAAAACCGCGTTGCTTGTCCATCTGTTTCGCTCCTTGATTTAG
-TTGGCGCTACTTTGGCAAACGCCATCAGCACAGGCGAGGGGCAAAAAACGAAACGGGAAAGCAGATTCCG
-AGGTTTTTTATTTCGTTGCAGCGAAAGACAAGAAATTTGCGAGGCGTTACGAAGAAAGTTGGGGAAGGGG
-AGATTATCCGCCCGCGATGGAGCGGATAAATCTGTCAACTATTAGCGAAAACGCATTGAAAGGTCGAGTG
-CTTGTACGTGTTTAGTTAGCGCACCGACGGAGATAAAGTCCACGCCCGTTTCGGCAAATTCACGCAGTGT
-TTTGTCAGTGACGTTGCCAGACACTTCCAGTAGCGCCTTGCCGTTGGTGCGTTTGACGGCTTCGCGCATC
-TGTTCTGTTTCGAAGTTATCCAGCATGATGATATCGGCTCCTGCTTTCAGGGCTTCATCAAGTTCTTCCA
-GATTCTCTACTTCGACTTCTACTGGCGCATCCGGGTGCAGCCAGGACGCTTTTTCGACCGCCTGGCGCAC
-TGAGCCGGAGGCAATAATATGGTTTTCTTTGATCAGGAAGGCATCAGAAAGCCCCAGACGGTGATTCGCT
-CCGCCGCCGCAAAGTACCGCGTATTTCAGAGCTGAACGCAGGCCGGGTAAGGTTTTGCGCGTATCCAACA
-ACTGCGTGTTGGTGCCTTCCAGCAATTCGACATAGTGGCGTACCTTACTGGCAACTCCTGAAAGGGTTTG
-CACAAAATTAAGCGCAGTGCGTTCGCCCGTTAACAGCACGCGGGATGGGCCTTCAAGTTCGAACAAGGAT
-TGATTGGCATTGATGACATCGCCGTCATCCACATGCCAGATTATGGTGACATCGTCGCCTGCCAGTTGAA
-TAAACACCTCTTCAACCCAGCGTTTGCCGCAAAAGACGCCATTCTCGCGGGTGATCACCGTGGCATGAGA
-GCGAGAATTTTCCGGTAAAAGTTTTGCCGTAATATCATTGTTGGCATCGACTGTTCCGCCTAAATCTTCC
-CGCAGCGCCTGGGCTACCGCGCCGGGGATATCGAGATTAATGCGTTCCAGCAGCTCGTCACGTCGGGTGT
-CAGGGTTATAGCGGCGAGGCGGCATGTTAAAACTCCAGATAGCTAACGAATCATAAGGTAGAAACATGCT
-ACTCTGAACCGGGTATTAGCACCACATATAAGGAGATCCTGCATGTTGTTAGAACAGGGGTGGCTGGTTG
-GCGCGCGCCGCGTTCCCTCACCACATTACGATTGCCGCCCGGATGACGAAACACCCACCCTGCTGGTGGT
-GCACAATATTAGCCTGCCGCCAGGCGAGTTTGGCGGTCCGTGGATCGACGCATTATTCACTGGAACTATT
-GATCCGCAGGCACATCCTTTCTTTGCTGAGATCGCCCATTTGCGCGTCTCCGCTCACTGTTTGATTCGCC
-GTGATGGTGAAATAGTCCAGTATGTTCCTTTCGATAAACGTGCATGGCATGCGGGAGTCTCTCAGTATCA
-GGGGCGCGAACGCTGCAATGATTTTTCTATTGGGATTGAGCTTGAAGGCACCGATACGCTGGCGTATACC
-GATGCGCAGTATCAACAGCTTGCGGCGGTTACGCGGGCACTGATTGATTGCTATCCGGATATCGCTAAAA
-ACATGACGGGCCATTGTGATATTGCGCCGGATCGGAAAACCGATCCCGGTCCTGCATTTGATTGGGCACG
-GTTTCGTGTGCTGGTCAGCAAGGAGACAACATGACGCTATTTACAACCTTACTGGTGTTAATTTTCGAGC
-GCCTGTTTAAGTTGGGCGAGCACTGGCAGCTTGATCATCGTCTTGAAGCGTTCTTTCGGCGGGTGAAACA
-TTTTTCTCTCGGGCGCACGTTAGGCATGACCATTATTGCGATGGGCGTGACTTTTTTACTGTTACGCGCA
-TTGCAGGGAGTATTGTTCAACGTTCCCACGCTACTGGTGTGGCTGCTGATTGGTTTGCTGTGTATTGGCG
-CAGGTAAAGTTCGTCTTCATTATCATGCTTATCTGACAGCTGCTTCACGTAATGATAGCCATGCCCGTGC
-CACGATGGCTGGCGAACTCACCATGATTCACGGCGTCCCGGCAGGCTGCGACGAACGTGAGTATTTGCGT
-GAGCTGCAAAATGCATTGCTGTGGATTAACTTTCGTTTTTATCTTGCACCGCTGTTCTGGCTGATTGTGG
-GGGGAACCTGGGGACCCGTTACGCTGATGGGGTATGCGTTTTTGCGTGCATGGCAATACTGGCTGGCGCG
-ATATCAGATGCCGCATCATCGTTTACAGTCCGGCATTGATGCCGTGCTTCATGTACTGGATTGGGTGCCG
-GTTCGTCTTGCGGGTGTGGTATATGCCTTGATCGGTCATGGTGAGAAAGCGTTACCGGCCTGGTTTGCTT
-CGCTGGGTGATTTCCATACTTCGCAGTATCAGGTGTTAACGCGTCTGGCGCAGTTCTCTCTGGCGCGTGA
-ACCGCATGTCGATAAGGTGGAGACGCCGAGGGCAGCGGTTTCAATGGCGAAGAAAACCTCGTTCGTGGTC
-GTGGTGGTGATTGCACTACTGACGATTTACGGGGCGTTGGTGTAAAGATTATTGCCCTCACCCTGTACGG
-GTGAGGGCGTAGAGAGATTAATGCGCTTTTACGGCTTTGGCGGTTTTCTCTTTAAACAGATAGCCGATAC
-CTAACACGATCAGCCATACCGGGATCAGGTATACCGAAATCGCCATTCCTGGGGTCATCAGCATAATCAC
-CAGTACCGCCGCCATAAACAGCAGGCAGATCCAGTTACCCAGCGGATAAAGCAGAGCAGGGAAGCGAGTT
-ACCACGCCTTGTTCCTGCTTGGCGCGACGGAATTTCATATGCGCCAGGCTAATCATCGCCCAGTTGATTA
-CCAGTGCAGATACCACCAGCGCCATTAACAGTCCGAAAGCGGACTCTGGGGCAAGGTAGTTAATCAGTAC
-GCACAACGCCGTTACCAGTGCAGACACCAGAATGGTATTTACTGGTACACCACGTTTATCGACAGACGCC
-AGCGCTTTTGGCGCATTACCCTGTTGTGCCAGACCAAACAGCATACGGCTGTTGCAATATACGCAGCTGT
-TGTACACGGAGAGCGCCGCAGTCAGTACCACGATGTTCAGCGCATTCGCCACAAAGGTATCGCCTAACTC
-GTGGAAGATCAGCACAAACGGACTGGTATCGGCGGTAACGCGGGTCCACGGCATCAGTGAGAGCAGAACG
-GCTAACGAACCAATATAGAAAATCAGGATGCGGTAGATAACCTGGTTAGTTGCTTTCGGTATACTTTGCT
-CCGGGTTATCAGCTTCTGCTGCGGTGATCCCCACCAGTTCCAGACCACCGAACGAGAACATGATAATCGC
-CATCATCATCACCAGCCCGGTGAAGCCGTGCGGCAGGAAACCACCCTGATCCCACAGGTTGCTAACGGTC
-GCCTGCGGGCCGCCGTTGCCACTGAATAGCAGCCAGCCGCCGAAGATGATCATCGCTACCACCGCGATAA
-CTTTGATAATGGCAAACCAGAACTCCATCTCGCCAAACACTTTAACGTTGGTCAGGTTGATGGCGTTAAT
-CACCACAAAGAATACGGCGGCAGAAACCCAGGTGGGGATTTCCGGATACCAGAACTGAATGTATTTACCC
-ACGGCAGTCAGCTCAGCCATGGCAACTAAAACGTACAGTACCCAGTAGTTCCAGCCAGAGGCGAAACCGG
-CAAAACTGCCCCAGTATTTATAAGCAAAGTGGCTAAAGGAGCCTGCGACAGGTTCTTCGACCACCATTTC
-ACCCAGCTGACGCATGATCAGAAAGGCGATAAAACCAGCAATGGCGTAACCCAGGATAATCCCTGGCCCT
-GCGGACTGTATTACGGAGGCGCTACCCAGGAATAACCCGGTCCCTATCGCGCCACCCAGCGCGATAAGCT
-GAATATGGCGGTTTTTAAGGCCGCGCTTTAGCTGCTCGCCGTGCTGTTGACCTTCCATCATGAAACCTCG
-TGCGGTGGTTGTTTTTTTGATCTACGCAGTGATGCGTGTGTAAGTTTGCAATTCCGTTTGTTGTATTAAT
-TTGTTTACATCAAAGAAGTTTGAATTGTTACAAAAAGACTTCCGTCAGATCAAGAATAATGGTATGAGGC
-AGCGAATGCACCCGCTTTATGCATGGTTGAAGATGAGTTGCTTAAAAAGAAACCGTTTGTAAAGCTCAGC
-CTCAACCCCTCTCAATATGTAGAATGAATTTAAATTCGTTTTAATTGAATTAAAAATCACAAAATTGGTA
-AGTGAATCGGTTCAATTCGGATTTTTATAGTTTAATAATCGTTAAAAAACTCCTTTCCTACGTAAAGTCT
-ACATTTGTGCATAGTTACAACTTTGAAACGTTATATATGTCAAGTTGTTAAAATGTGCACAGTTTCATGA
-TTTCAATCAAAACCTGTATGGACATAAGGTGAATACTTTGTTACTTTAGCGTCACAGACATGAAATTGGT
-AAGACCAATTGACTTCGGCAAGTGGCTTAAGACAGGAACTCATGGCCTACAGCAAAATCCGCCAACCAAA
-ACTCTCCGATGTGATTGAGCAGCAACTGGAGTTTTTGATCCTCGAAGGCACTCTCCGCCCGGGCGAAAAA
-CTCCCACCGGAACGCGAACTGGCAAAACAGTTTGACGTCTCCCGTCCCTCCTTGCGTGAGGCGATTCAAC
-GTCTCGAAGCGAAGGGCTTGTTGCTTCGTCGCCAGGGTGGCGGCACTTTTGTCCAGAGCAGCCTATGGCA
-AAGCTTCAGCGATCCGCTGGTGGAGCTGCTCTCCGACCATCCTGAGTCACAGTATGACTTGCTCGAAACA
-CGACACGCCCTGGAAGGTATCGCCGCTTATTACGCCGCGCTGCGTAGTACCGATGAAGACAAGGAACGCA
-TCCGTGAACTCCACCACGCCATAGAGCTGGCGCAGCAGTCTGGCGATCTGGACGCGGAATCAAACGCCGT
-ACTCCAGTATCAGATTGCTGTCACTGAAGCGGCCCACAATGTGGTTCTGCTTCATCTGCTAAGGTGTATG
-GAGCCGATGTTGGCCCAGAATGTCCGCCAGAACTTCGAATTGCTCTATTCGCGTCGCGAGATGCTGCCGC
-TGGTGAGTAGTCACCGCACCCGCATATTTGAAGCGATTATGGCCGGTAAGCCGGAAGAAGCGCGCGAAGC
-ATCGCATCGCCATCTGGCCTTTATCGAAGAAATTTTGCTCGACAGAAGTCGTGAAGAGAGCCGCCGTGAG
-CGTTCTCTGCGTCGTCTGGAGCAACGAAAGAATTAGTGATTTTTCTGGTAAAAATTATCCAGAAGATGTT
-GTAAATCAAGCGCATATAAAAGCGCGGCAACTAAACGTAGAACCTGTCTTATTGAGCTTTCCGGCGAGAG
-TTCAATGGGACAGGTTCCAGAAAACTCAACGTTATTAGATAGATAAGGAATAACCCATGTCAGAACGTTT
-CCCAAATGACGTGGATCCGATCGAAACTCGCGACTGGCTCCAGGCGATCGAATCGGTCATCCGTGAAGAA
-GGTGTTGAGCGTGCTCAGTATCTGATCGACCAACTGCTTGCTGAAGCCCGCAAAGGCGGTGTAAACGTAG
-CCGCAGGCACAGGTATCAGCAACTACATCAACACCATCCCCGTTGAAGAACAACCGGAGTATCCGGGTAA
-TCTGGAACTGGAACGCCGTATTCGTTCAGCTATCCGCTGGAACGCCATCATGACGGTGCTGCGTGCGTCG
-AAAAAAGACCTCGAACTGGGCGGCCATATGGCGTCCTTCCAGTCTTCCGCAACCATTTATGATGTGTGCT
-TTAACCACTTCTTCCGTGCACGCAACGAGCAGGATGGCGGCGACCTGGTTTACTTCCAGGGCCACATCTC
-CCCGGGCGTGTACGCTCGTGCTTTCCTGGAAGGTCGTCTGACTCAGGAGCAGCTGGATAACTTCCGTCAG
-GAAGTTCACGGCAATGGCCTCTCTTCCTATCCGCACCCGAAACTGATGCCGGAATTCTGGCAGTTCCCGA
-CCGTATCTATGGGTCTGGGGCCGATTGGTGCTATTTACCAGGCTAAATTCCTGAAATATCTGGAACACCG
-TGGCCTGAAAGATACCTCTAAACAGACCGTTTACGCGTTCCTCGGCGACGGTGAAATGGACGAACCGGAA
-TCCAAAGGTGCGATCACCATCGCTACCCGTGAAAAACTGGATAACCTGGTCTTCGTTATCAACTGTAACC
-TGCAGCGTCTTGACGGCCCGGTCACCGGTAACGGCAAGATCATCAACGAACTGGAAGGCATCTTCGAAGG
-TGCTGGCTGGAACGTGATCAAAGTGATGTGGGGTAGCCGTTGGGATGAACTGCTGCGTAAAGATACCAGC
-GGTAAACTGATCCAGCTGATGAACGAAACCGTTGACGGCGACTACCAGACCTTCAAATCGAAAGATGGTG
-CGTACGTTCGTGAACACTTCTTCGGTAAATATCCTGAAACCGCAGCACTGGTTGCAGACTGGACTGACGA
-GCAGATCTGGGCACTGAACCGTGGTGGTCACGATCCGAAGAAAATCTACGCTGCATTCAAGAAAGCGCAG
-GAAACCAAAGGCAAAGCGACAGTAATCCTTGCTCATACCATTAAAGGTTACGGCATGGGCGACGCGGCTG
-AAGGTAAAAACATCGCGCACCAGGTTAAGAAAATGAACATGGACGGCGTGCGTCACATCCGCGACCGTTT
-CAATGTGCCGGTGTCTGATGCAGATATCGAAAAACTGCCGTACATCACCTTCCCGGAAGGTTCTGAAGAG
-CATACCTATCTGCACGCTCAGCGTCAGAAACTGCACGGTTATCTGCCAAGCCGTCAGCCGAACTTCACCG
-AGAAGCTTGAGCTGCCGAGCCTGCAAGACTTCGGCGCGCTGCTGGAAGAGCAGAGCAAAGAGATCTCTAC
-CACTATCGCTTTCGTTCGTGCCCTGAACGTAATGCTGAAGAACAAGTCGATCAAAGATCGTCTGGTACCG
-ATCATCGCCGACGAAGCGCGTACTTTCGGTATGGAAGGTCTGTTCCGTCAGATTGGTATTTACAGCCCGA
-ACGGTCAGCAGTACACCCCGCAGGACCGCGAGCAGGTTGCTTACTATAAAGAAGACGAGAAAGGTCAGAT
-TCTGCAGGAAGGGATCAACGAGCTGGGCGCAGGTTGTTCCTGGCTGGCAGCGGCGACCTCTTACAGCACC
-AACAATCTGCCGATGATCCCATTCTACATCTATTACTCGATGTTCGGCTTCCAGCGTATTGGCGATCTGT
-GCTGGGCGGCTGGCGACCAGCAAGCGCGTGGCTTCCTGATCGGCGGTACTTCCGGTCGTACCACCCTGAA
-CGGCGAAGGTCTGCAGCACGAAGATGGTCACAGCCACATTCAGTCGCTGACTATTCCGAACTGTATCTCT
-TACGACCCGGCTTACGCTTACGAAGTTGCTGTCATTATGCATGACGGTCTGGAGCGTATGTACGGTGAAA
-AACAAGAGAACGTTTACTACTACATCACCACGCTGAACGAAAACTACCACATGCCGGCAATGCCGGAAGG
-TGCTGAGGAAGGTATCCGTAAAGGTATCTACAAACTCGAAACCATTGAAGGTAGCAAAGGTAAAGTTCAG
-CTGCTGGGCTCCGGTTCTATCCTGCGTCACGTCCGTGAAGCGGCAGAGATCCTGGCGAAAGATTACGGCG
-TAGGTTCTGACGTTTATAGCGTGACCTCCTTCACCGAACTGGCGCGAGATGGTCAGGATTGTGAACGCTG
-GAACATGCTGCACCCGCTGGAAACTCCGCGCGTTCCGTATATCGCTCAGGTGATGAACGACGCTCCGGCA
-GTGGCATCTACCGACTATATGAAACTGTTCGCTGAGCAGGTCCGTACTTACGTACCGGCTGACGACTACC
-GCGTACTGGGTACTGATGGCTTCGGTCGTTCCGACAGCCGTGAGAACCTGCGTCACCACTTCGAAGTTGA
-TGCTTCCTACGTGGTTGTAGCGGCGCTGGGCGAACTGGCTAAACGTGGCGAAATCGATAAGAAAGTGGTT
-GCTGACGCAATCGCCAAATTCAACATCGATGCAGATAAAGTTAACCCGCGTCTGGCGTAAGAGGTAAAAG
-AATAATGGCTATCGAAATCAAAGTACCGGACATCGGGGCTGATGAAGTTGAAATCACCGAGATCCTGGTC
-AAAGTGGGCGACAAAGTTGAAGCCGAACAGTCGCTGATCACCGTAGAAGGCGACAAAGCCTCTATGGAAG
-TTCCGTCTCCGCAGGCGGGTGTCGTTAAAGAGATCAAAGTCTCTGTTGGCGATAAAACCCAGACCGGCGC
-ACTGATTATGATTTTCGATTCCGCCGACGGTGCAGCAGACGCTGCACCTGCTCAGGCAGAAGAGAAGAAA
-GAAGCAGCTCCGGCAGCAGCACCAGCGGCTGCAGCGGCAAAAGACGTTAACGTTCCGGATATCGGCAGCG
-ACGAAGTTGAAGTGACCGAAATCCTGGTGAAAGTTGGCGATAAAGTTGAAGCTGAACAGTCGCTGATCAC
-CGTAGAAGGCGATAAAGCGTCTATGGAAGTTCCGGCTCCGTTTGCTGGCACCGTGAAAGAGATCAAAGTG
-AACGTGGGTGACAAAGTGTCTACCGGCTCGCTGATTATGGTCTTCGAAGTCGCGGGTGAAGCAGGCGCGG
-CAGCTCCGGCGGCTAAACAGGAAGCGGCTCCGGCAGCGGCCCCTGCACCAGCGGCTGGCGTGAAAGAAGT
-TAACGTTCCGGATATCGGCGGTGACAAAGTTGAAGTGACCGAAGTGATGGTGAAAGTGGGCGACAAAGTT
-GCCGCTGAACAGTCACTGATTACCGTAGAAGGCGACAAAGCTTCTATGGAAGTTCCGGCTCCGTTTGCAG
-GCGTCGTGAAGGAACTGAAAGTCAACGTTGGCGATAAAGTGAAAACTGGCTCGCTGATTATGATCTTCGA
-AGTTGAAGGCGCAGCGCCTGCGGCGGCTCCTGCGAAACAGGAAGCGGCAGCGCCGGCTCCGGCAGCAAAA
-GCTGAAGCTCCGGCAGCAGCACCGGCTGCGAAAGCGGAAGGCAAATCTGAATTTGCAGAAAACGACGCTT
-ACGTTCACGCGACTCCGCTGATCCGCCGTCTGGCACGCGAGTTTGGCGTTAACCTGGCGAAAGTGAAGGG
-CACTGGCCGTAAAGGTCGTATCCTGCGCGAAGACGTTCAGGCTTACGTGAAAGAAGCTATCAAACGTGCA
-GAAGCAGCTCCGGCGGCGACTGGCGGCGGTATCCCAGGCATGCTGCCGTGGCCGAAGGTGGACTTCAGCA
-AGTTTGGTGAAATCGAAGAAGTGGAACTGGGCCGTATCCAGAAAATTTCTGGTGCGAACCTGAGCCGTAA
-CTGGGTGATGATCCCGCATGTTACTCACTTCGACAAAACCGATATCACCGAGCTGGAAGCGTTCCGTAAA
-CAGCAGAACGAAGAAGCGGCGAAACGTAAGCTGGATGTGAAGATCACCCCGGTTGTCTTCATCATGAAAG
-CCGTTGCTGCAGCTCTTGAGCAGATGCCTCGCTTCAACAGTTCGTTGTCGGAAGACGGTCAGCGTCTGAC
-CCTGAAGAAATACATCAACATCGGTGTGGCGGTGGATACCCCGAACGGTCTGGTTGTTCCGGTATTCAAA
-GACGTCAACAAGAAAGGCATCATCGAGCTGTCTCGCGAGCTGATGACTATTTCTAAGAAAGCGCGTGACG
-GTAAGCTGACTGCGGGCGAAATGCAGGGCGGTTGCTTCACCATCTCCAGCATCGGCGGCCTGGGTACTAC
-CCACTTCGCGCCGATTGTGAACGCGCCGGAAGTGGCTATCCTCGGCGTTTCCAAGTCCGCGATGGAGCCG
-GTGTGGAATGGTAAAGAGTTCGTGCCGCGTCTGATGCTGCCGATTTCTCTCTCCTTCGACCACCGCGTGA
-TCGACGGTGCTGATGGTGCCCGTTTCATTACCATCATTAACAACACGCTGTCTGACATTCGCCGTCTGGT
-GATGTAAGTAAAAGAGCCGGCCCAACGGCCGGCTTTTTTCTGGTAATCTCATGAATGTATTGAGGTTATT
-AGCGAATAGACAAATCGGTTGCCGTTTGTTGTTTAAAAATTGTTAACAATTTTGTAAAATACCGACGGAT
-AGAACGACCCGGTGGTGGTTAGGGTATTACTTCACATACCCTATGGATTTCTGGGTGCAGCAAGGTAGCA
-AGCGCCAGAATCCCCAGGAGCTTACATAAGTAAGTGACTGGGGTGAGGGCGTGAAGCTAACGCCGCTGCG
-GCCTGAAAGACGACGGGTATGACCGCCGGAGATAAATATATAGAGGTCATGATGAGTACTGAAATCAAAA
-CTCAGGTCGTGGTACTTGGGGCAGGCCCCGCAGGTTACTCCGCTGCCTTCCGTTGCGCTGATTTAGGTCT
-GGAAACCGTAATCGTAGAACGTTACAACACCCTTGGCGGTGTTTGCCTGAACGTCGGCTGTATCCCTTCT
-AAAGCACTGCTGCACGTAGCAAAAGTTATCGAAGAAGCCAAAGCGCTGGCTGAACACGGTATCGTCTTCG
-GCGAACCGAAAACCGATATTGACAAGATTCGTACCTGGAAAGAGAAAGTGATCAATCAGCTGACCGGTGG
-TCTGGCTGGTATGGCGAAAGGCCGCAAAGTCAAAGTGGTCAACGGTCTGGGTAAATTCACCGGGGCTAAC
-ACCCTGGAAGTTGAAGGTGAGAACGGCAAAACCGTGATCAACTTCGACAATGCGATCATTGCAGCGGGTT
-CTCGCCCGATCCAACTGCCGTTTATTCCGCATGAAGATCCGCGTATCTGGGACTCCACTGACGCGCTGGA
-ACTGAAAGAAGTACCAGAACGCCTGCTGGTAATGGGTGGCGGTATCATCGGTCTGGAAATGGGCACCGTA
-TACCACGCGCTGGGTTCACAGATTGACGTGGTTGAAATGTTCGACCAGGTTATCCCGGCAGCTGACAAAG
-ACATCGTTAAAGTCTTCACCAAGCGTATCAGCAAGAAATTCAACCTGATGCTGGAAACCAAAGTTACCGC
-CGTTGAAGCGAAAGAAGACGGTATTTATGTGACGATGGAAGGCAAAAAAGCACCCGCTGAACCGCAGCGT
-TACGACGCCGTGCTGGTAGCGATTGGTCGTGTGCCGAACGGTAAAAACCTCGACGCAGGCAAAGCTGGCG
-TGGAAGTGGACGACCGTGGTTTCATCCGCGTTGACAAACAGCTGCGTACCAACGTACCGCATATCTTTGC
-TATCGGCGATATCGTCGGTCAGCCGATGCTGGCACACAAAGGTGTTCACGAAGGTCACGTTGCCGCTGAA
-GTTATCGCCGGTAAGAAACACTACTTCGATCCGAAAGTTATCCCGTCCATCGCCTATACCGAACCAGAAG
-TTGCATGGGTAGGTCTGACTGAGAAAGAAGCGAAAGAGAAAGGCATCAGCTATGAAACCGCCACCTTCCC
-GTGGGCTGCTTCTGGTCGTGCTATCGCTTCCGACTGCGCAGACGGTATGACCAAGCTGATTTTCGACAAA
-GAATCTCACCGTGTGATCGGTGGTGCGATTGTCGGTACCAACGGCGGCGAGCTGCTGGGTGAAATCGGCC
-TGGCAATCGAAATGGGTTGTGATGCTGAAGACATCGCACTGACCATCCACGCGCACCCGACTCTGCACGA
-GTCTGTGGGCCTGGCGGCAGAAGTGTTCGAAGGTAGCATTACCGACCTGCCGAACCCGAAAGCGAAGAAG
-AAGTAATTGTTCGTTTGCCGGAACATCCGGCAATTAAAAAAGCGGCTAACCACGCCGCTTTTTTTACGTC
-TGCAATTTACCTTTCCTGTCGCCTTGCTCCGCGCTCAGAGAGACGTTCGCGTACTGCTGACCGTTGCTCG
-TTATTCAGCCTGACAGTATGGTTACTGTCGTTTAGACGTTGTGGGCGGCTCTCCTGAACTTTTTCCCGAA
-AAACCTGACGTTGTTCAGGTGATGCTGATTGAACACGCTGGCGGGCGTTATCACGTTGCTGTTGGTTCAG
-TGGGCGCTGCTGTACTTTTTCCTTAAACACCTGGCGCTGCTCAGGCGAGGCTGACTGAATACGCTCACGC
-GCTGCGTCTCTTCGCTGCTGGATCTGTGGGTTAGTCTGCATTTTCTCGCGGACTGCCTGGCGCTGCTCAG
-GCGAGGCGGACTGAATACGCTCACGCGCTGCGTCTCTTCGCTGCTGGATCTGTGGGTTAGTTTGCATTTT
-CTCGCGGACTGCCTGGCGCTGCTCAGGCGAGGCCGACTGATAACGCTGACGAGCGGCGTCCTTTTGTTGC
-TGGGTCAGTGGTTGGCGACGGCTGAAGTCGCGGAAGTCGTCATAGCTCCCATAGTTTTCAGCTTCATTAA
-ACCGCTGTGCCGCTGCCTGACGTTGGGTATCTCGTGTAATGACGGGGGCGGCGTGTGTTCGTTGCTGAAA
-CTGACTTGCTGCCGCCTGACGCTGGCTGTCGCGTGTTGGAGCAGGTAGCTGCGTGGCGCTCATTCCGCCG
-TTGACATCGGTTTGATGAAACCGCTTTGCCATATCCTGATCATGATAGGGCACACCATTACGGTAGTTTG
-GATTGTGCCGCCATGCCATATTCTTATCAGTAAGATGCTCACCGGTGATACGGTTGAAATTGTTGACGTC
-GATATTGATGTTGTCGCCGTTGTGTTGCCAGCCATTACCGTCACGATGACCGCCATCGTGGTGATGATAA
-TCATCATCGTCATGATGATGATGGTCATGATCGTCGTCATCCCAGTCGATGCTGCTGAATAGTGCGTACG
-TGGTAGCAACACCCATGCTATAGCCGAATCCGCGCACAAAGCTGTCAATAAACGGTTCTCCGGCTGGTGG
-TGGCAGATAAACCGGCGGATACGCAGTATTGGCCCAGTTCCCGTAAACCACGGTTGGGTTGTAGTTGGGA
-ATATAGACCACATCAGGATTGGCGGGCTCAATGGAAATGACGGTTGTTGCAGGCTCTGTAATGACGGGGC
-TGGCAGTTAAAACGGTATTGGATGGTATGACGGGTGCCGTGACTGTCTGTTTTACCGGTACAGCTTTCTT
-CGTTGTGGTAATAACTTTTTGTTCGGTTGATGACTTCAGCGAACCGGTTTGTTGCGCCAGTTGCCGCAAT
-CGCTGTACCGAGTCCATCACGTCCTGCGGCTGCGCCAGAAAAGCATCGCCCAGGTTTTGCACCCATTGCG
-GGTTTTCGCCCATCAATGCCATCAATTGTGGAAAGGCCACCAGTGATTTAACGCTGGCGTCCCACGGCTG
-GTCAGATACCGCCTGAATAGCAGCATCGCCTTGTTTAAGTGGATTATCGTGCGACCATTGCACTGCTTGA
-GCAACGTTTGCCGGATAGGTTGATGCCATTAACACTTGTGAAAGCAGAGAATCGGGGTACAGCGCGACAG
-GCGCAACCCATTGATCGATTTGTGCAGTGCTGAATGCGGATTTGACGACGGCGGGCGTTACGGGCGGTGC
-GGAAACCGTTGCAGGAAGCGTAACTGCGGTGATGTCAGGCGCAGTCTGTTGTGTCGATTGCGGTTCCACA
-GGCGCTTCCACTGTGCGGCTTTTTATATATAGCCCGGTAGAGGCGGCACAAAGCCCGGCACTGCAAATTA
-GCGCCAGCACATGGGGTTTAAACGGCAAAGTCATTTTCATAATTCGGATCTCAAGGAAATCGCAATGGTC
-GGCGAACTGCCACCCGCAGGTGCTGTGAATCCGAGTATAAAGAGGCGGTAGTTTAAATTTTGACTAATCT
-TGGGATTCGTTGAGAAAGGTGATTATCACCATGCGAATTAACGAAGTTTTTACGGAGGGAAACAATCTCT
-AGACCATCCTTAACGATTCAGCCACTTTTTTATGTTGCTTTTTTGTAAACAGATTAACACATCGTCAAAA
-TCCTGCTATTCTGCCCGTTGCGGTACTGGGCATTTACCCTACAAACTGCTGTCTCACAGGAGCGTGAAGA
-GAATCGCCTGCCGCACTATGACAATGAGAGCGAGGAGAACCGTCGTGCTAGAAGAATACCGTAAGCACGT
-AGCTGAGCGTGCCGCTGAGGGGATTGCGCCCAAACCCCTGGATGCAAACCAAATGGCCGCACTTGTAGAG
-CTGCTGAAAAACCCGCCCGCGGGCGAAGAAGAATTCCTGTTAGATCTGTTAACCAACCGTGTTCCCCCAG
-GCGTCGATGAAGCCGCCTATGTCAAAGCAGGCTTCCTGGCTGCTATCGCGAAAGGCGAAGCCAAATCCCC
-TCTGCTGACTCCGGAAAAAGCCATCGAACTGCTGGGCACCATGCAGGGTGGTTACAACATTCATCCGCTG
-ATCGACGCGCTGGATGATGCCAAACTGGCACCTATTGCTGCCAAAGCACTTTCTCACACGCTGCTGATGT
-TCGATAACTTCTATGACGTAGAAGAGAAAGCGAAAGCAGGCAACGAATATGCGAAGCAGGTTATGCAGTC
-CTGGGCGGATGCCGAATGGTTCCTGAATCGCCCGGCGCTGGCTGAAAAACTGACCGTTACTGTCTTCAAA
-GTCACTGGCGAAACTAACACCGATGACCTTTCTCCGGCACCGGATGCGTGGTCGCGCCCGGATATCCCAC
-TGCACGCGCTGGCGATGCTGAAAAACGCCCGTGAAGGTATTGAGCCAGACCAGCCAGGTGTTGTTGGCCC
-GATCAAACAGATTGAAGCTCTGCAACAGAAAGGTTTCCCGCTGGCGTACGTCGGTGACGTTGTGGGTACG
-GGTTCATCGCGTAAATCCGCCACGAACTCCGTTCTGTGGTTTATGGGCGATGATATTCCACATGTGCCGA
-ACAAACGCGGCGGTGGTTTGTGCCTCGGCGGTAAAATTGCACCCATCTTCTTTAACACGATGGAAGACGC
-GGGTGCACTGCCAATCGAAGTCGACGTCTCTAACCTGAACATGGGCGACGTGATTGACGTTTACCCGTAC
-AAAGGTGAAGTGCGTAACCACGAAACCGGCGAACTGCTGGCGACCTTCGAACTGAAAACCGACGTGCTGA
-TTGATGAAGTGCGTGCTGGCGGCCGTATCCCGCTGATTATCGGGCGTGGCCTGACCACCAAAGCGCGTGA
-AGCACTTGGTCTGCCGCACAGTGATGTGTTCCGTCAGGCGAAAGATGTCGCTGAGAGCGATCGCGGCTTC
-TCGCTGGCGCAGAAAATGGTAGGTCGTGCCTGCGGTGTGAAAGGTATTCGTCCGGGCGCGTACTGCGAAC
-CGAAAATGACTTCTGTAGGTTCACAGGACACCACCGGCCCGATGACCCGTGATGAACTGAAAGACCTGGC
-GTGCCTGGGCTTCTCGGCTGACCTGGTGATGCAGTCTTTCTGCCATACCGCGGCGTATCCGAAGCCAGTT
-GACGTGAACACGCACCACACGCTGCCGGACTTCATTATGAACCGTGGTGGTGTGTCGCTGCGTCCGGGTG
-ACGGCGTAATCCACTCCTGGCTGAACCGTATGCTGCTGCCGGATACCGTCGGTACCGGTGGTGACTCCCA
-TACCCGTTTCCCGATCGGTATCTCTTTCCCGGCGGGTTCTGGTCTGGTGGCATTTGCAGCCGCAACAGGC
-GTAATGCCGCTGGATATGCCGGAATCCGTTCTGGTGCGCTTCAAAGGCAAAATGCAGCCGGGCATCACCC
-TGCGCGATCTGGTACACGCGATCCCGCTGTATGCGATCAAACAAGGTCTGCTGACCGTTGAGAAGAAAGG
-CAAGAAAAACATCTTCTCTGGTCGCATTCTGGAAATTGAAGGTCTGCCGGATCTGAAAGTTGAGCAGGCA
-TTTGAACTGACCGATGCGTCCGCCGAGCGTTCTGCCGCTGGTTGTACCATCAAGCTGAACAAAGAACCGA
-TCATCGAATACCTGAACTCTAACATCGTCCTGCTGAAGTGGATGATCGCGGAAGGTTACGGCGATCGTCG
-TACCCTGGAACGTCGTATTCAGGGCATGGAAAAATGGCTGGCGAATCCTGAGCTGCTGGAAGCCGATGCA
-GATGCGGAATACGCGGCAGTGATCGACATCGATCTGGCGGATATTAAAGAGCCAATCCTCTGTGCACCGA
-ACGACCCGGACGACGCACGTCCGCTGTCTGCGGTACAGGGCGAGAAGATCGACGAAGTGTTTATCGGTTC
-CTGCATGACCAACATCGGTCACTTCCGTGCTGCGGGTAAACTGCTGGATGCGCACAAAGGCCAGTTGCCG
-ACGCGCCTGTGGGTGGCACCGCCAACCCGTATGGATGCCGCGCAGTTGACCGAAGAAGGCTACTATAGCG
-TCTTCGGTAAGAGCGGTGCGCGTATCGAGATCCCTGGCTGTTCCCTGTGTATGGGTAACCAGGCGCGTGT
-AGCAGACGGTGCGACGGTGGTTTCCACCTCTACCCGTAACTTCCCGAACCGTCTGGGGACTGGCGCGAAT
-GTCTTCCTGGCTTCTGCAGAACTGGCGGCTGTTGCGGCGCTGATTGGCAAACTGCCGACGCCGGAAGAGT
-ACCAGACCTACGTTGCGCAAGTAGATAAAACTGCCGTTGATACTTATCGTTATCTGAACTTCAACCAGCT
-TTCTCAGTACACCGAAAAAGCCGATGGGGTGATTTTCCAGACTGCGGTGTAATAAGTAAGCGCACGCGCT
-GCGCATAAACGACACAATGCCCGGTGAATGAGATTCCCGGGCATTTTTTATTTCTAAACCATCGCCGTTC
-CGCTGTTTTTCTCCGGTAAGGCTGCGATAATTACATCAATGGCGCAATGCGATTTCGGCGCATTGCCGGG
-AGCAGAGGAACACACTATGGATTACGAATTTCTGCGCGATATTACCGGAGTGGTAAAGGTGCGTATGTCC
-ATGGGGCATGAAGTGGTCGGGCACTGGTTTAATGAAGAGGTGAAAGAAAACCTGGCCTTGCTTGATGAAG
-TGGAACAAGCAGCGCACGCACTGAAAGGTAGCGAACGGTCCTGGCAACGGGCAGGGCATGAATACACCCT
-GTGGATGGACGGTGAAGAGGTGATGGTTCGCGCCAATCAACTGGAATTCGCTGGCGATGAAATGGAAGAG
-GGGATGAACTACTACGACGAAGAAAGCCTGTCGCTATGCGGCGTTGAGGATTTTCTGCAGGTCGTGGCGG
-CTTACCGCAATTTCGTGCAGCAGAAGTAAATAAATCTGGCGGAGCCTGGGAGCTCCGCCAGAGCCGTTAA
-ACAGCTGGCATATTGCGCCCGTAATAAATCTCGCGCATTTCTTTCCACAGCGCAGCGGTAATTTCCTGGC
-GCTCGCTGTCGGTTAAATCTTCCGGTTTGGTGTGGAACATGTAGTGCTTAAGGTCGAACTCTTTAAGCAA
-CATCTTGGTATGGAAGATATTTTCCTGATAGACGTTCACATCCACCATGTCATACAGCGCCTTCATATCG
-TCAGACATAAAGTTCTGAATCGAATTAATCTCATGGTCGATAAAGTGCTTCATACCGTTAATGTCGCGGG
-TAAAACCGCGCACGCGATAATCAATGGTTACGATATCGGACTCAAGCTGGTGGATCAGGTAATTCAGCGC
-CTTCAGCGGAGAAATCACGCCGCAGGTAGAGACTTCAATATCGGCGCGGAAGGTACATAAACCGCCTTCA
-GGATGACTTTCCGGGTAGGTATGTACGCAAATATGACTTTTATCGAGATGGGCAACGACCGTTTCTGGCA
-GTGGGCCGGGGTGTTCTGTTTTGTCGATGAGTTTCGGGTCAACCGGTTCTTCACTCACCAGAATAGTGAC
-GCTGGCACCCTGTGGTTCGTAATCCTGGCGGGCGATGTTAAGAATATTGGCCCCGATAATGGAACAGGTT
-TCTGACAGGATTTCGGTCAGACGGTTGGCATTATAGAGTTCATCGATATAAGCAATATAACCGTCGCGCT
-CTTCGGCAGTTTTGGCGTAGCAGATATCGTAAATACAAAAACTCAGACTTTTGGTCAGATTATTAAAGCC
-ATGCAGTTTCAGTTTTTTCAATTTCTTATCTTCTCCTTAGGACGGCTGTGAAGCCAGTGCGTCTTGCAGA
-TACTGAGGTAAGGCAAAAGCTGCCGTATGGATTGCCGGATTGTAATAACGGCATTTCAGGCCAGAAGCGA
-GAAAACGCGCCTGAATAATTTCGGTTGAGAGATGGCGTAAGGCGTCGTTATCTGTCGCCCATGCAAAAGT
-CATGATACCGCCGTAATAGGTCGGGATCGCCGCCTGATAAAAGCCAACGTCGCTGAAGTAATGGCTGAGT
-TTGCGATGGCTGTCGATGGCTTCTTCCTGCTGTAAAAAGCAGACGCCGTTTTGTGCGACGAAGATACCGC
-CAGGATTCAGGCAACGTTTGCAGCCTTCATAAAATGCTGAGGTGAACAGACTTTCGCCGGGACCGATAGG
-ATCGGTGCAGTCGGAGATAATGACATCAAAGGTCTGGCTGGTTTGATTAACGAAATTGACGCCATCGTCG
-ATCACCAGCTTAAAGCGCGGATCGTCGTAGCTACCGGCGTTATGGTTGGGCAGATACTGACGGCAGAACG
-ACACGACACCCGCATCGATTTCCACCATCGTGATTGACTCAACGTTTTTATGTCGGGTTACTTCACGCAG
-CATGGCACCGTCGCCGCCGCCGATAATCAGCACATGTTTCGCGTGACCGTGGGCCAGTAGCGGAACATGG
-GTCATCATCTCATGATAGATAAACTCGTCGCGCTCGGTGGTTTGTACTACGCCATCCAGCGCCATTACGC
-GACCAAATGCAGCGTTCTCAAAAATGATCAGATCCTGGTGATCGGTCTTTTCATGATACAGAACGTTATC
-TACCGCAAAGTACTGCCCAAACTGGTCGTGTAGCGTTTCATGCCACTGTTTTTTTTCGGCCATGGGTTGA
-TACCTCCTTTGTTAACACCCGTAAAAAAAGGGCGCAACATAATAGCTAACATTGACCGCGGATGCACGGT
-CAATATTTCTACAAAAAGGTATCAGGGATTATTTGACGTAGGCAAGCAGGCTTAAGGAATCGCGGGCCAG
-GGCTTTGCACTTTTTAGCGACGGGAATGCCAATGCCGCTGAGATCGCGGTAGCTGTCTTCACCGAGGGCT
-TTCATGTCGAAGGTGTCGTAATTACTGAGATCCCACTGGTTTTGCTGGGCGAAAAAGACCAGTGCGCGAC
-GAATTTGCCCGTTAGGTAAGTTCTGGTAACCACAATCGTTCTTCAGAAAGACAAAAACTGCCGTTAAATC
-GGCCATATCTTCGGCTTCAGACTCGCTGAGCGCGTAACTGTTTGCGCAAACGGCCATCAGGCTGCCGAAT
-AACACTGTTCTGAAAAACGTCTTCATTGCTTCTACCAGGGGCTTAAAGAAGATAAACGTTAGCACACTGC
-GAGCGAGGCGACGACCATTATTGTCGATTAAATTGTGTCTGCGGCTTGACCTTCCCGTAAGGGGAAGGAC
-TATGCTCAACGTTTGATTTTGTTTCGCCTGCTTAAGAATAAGGAAATAACTATGCAACGTCGTGATTTCT
-TAAAATATTCCGTCGCGCTGGGTGTGGCTTCAGCCTTGCCGCTGTGGAGCCGCGCAGTCTTTGCGGCGGA
-ACGCCCAACGTTACCGATCCCTGATTTGCTCACGACCGATGCCCGTAATCGCATTCAGTTAACTATTGGC
-GCAGGTCAGTCTACCTTTGGCGAGAAAACTGCAACTACCTGGGGCTATAACGGCAATCTGCTGGGGCCGG
-CGGTGAAATTACAGCGCGGCAAAGCGGTAACGGTTGATATCTATAACCAACTGACGGAAGAGACGACGTT
-GCACTGGCACGGGCTGGAAGTACCGGGTGAAGTCGACGGCGGCCCGCAGGGAATTATTCTGCCAGGTGGC
-AAGCGCTCGGTGACGTTGAACGTTGATCAACCTGCCGCTACTTGCTGGTTCCATCCACATCAACATGGCA
-AGACCGGGCGACAGGTGGCGATGGGGTTGGCTGGGCTGGTGGTAATTGAAGATGACGAGATCCTGAAATT
-AATGCTACCAAAACAGTGGGGCATCGATGATGTTCCGGTGATTGTTCAGGATAAAAAATTTAACGCTGAT
-GGGCAGATTGATTATCAACTGGATGTGATGACCGCCGCCGTGGGCTGGTTTGGCGATACGCTGCTGACCA
-ACGGTGCAATCTACCCACAACACGCTGCCCCGCGTGGTTGGCTGCGCCTGCGTTTGCTTAATGGCTGTAA
-TGCCCGCTCGCTCAATTTCGCCACCAGCGACAATCGCCCGCTGTATGTGATTGCCAGCGACGGTGGTCTG
-CTACCTGAACCGGTGAAGGTGAGCGAGCTGCCGGTGCTGATGGGCGAGCGTTTTGAAGTGCTGGTGGAGG
-TTAACGACAACAAACCCTTTGACCTGGTGACGCTACCGGTCAGCCAGATGGGGATGGCGATTGCGCCGTT
-TGACAAGCCGCATCCGGTAATGCGGATTCAGCCGATTGCTATTAGTGCCTCCGGTGCTTTGCCAGACATA
-TTAAGTAGCCTGCCTGCGTTACCTTCTCTGGAAGGGCTGACGGTACGCAAGCTGCAACTTTCTATGGACC
-CGATGCTCGATATGATGGGGATGCAGATGCTGATGGAGAAATATGGCGATCAGGCGATGGCCGGGATGGA
-TCATAGCCAGATGATGGGCCATATGGGGCACGGCAATATGAATCATATGAACCATGGCGGGAAGTTCGAT
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/E_faecalis_6240.db b/anvio/tests/sandbox/mock_data_for_pangenomics/E_faecalis_6240.db
new file mode 100644
index 0000000000000000000000000000000000000000..e1468d7459a429d533d56c995e1bd97e42b3dbf9
GIT binary patch
literal 548864
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diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/E_faecalis_6255.db b/anvio/tests/sandbox/mock_data_for_pangenomics/E_faecalis_6255.db
new file mode 100644
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diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/E_faecalis_6512.db b/anvio/tests/sandbox/mock_data_for_pangenomics/E_faecalis_6512.db
new file mode 100644
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diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/E_faecalis_6557.db b/anvio/tests/sandbox/mock_data_for_pangenomics/E_faecalis_6557.db
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literal 0
HcmV?d00001

diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/default-state.json b/anvio/tests/sandbox/mock_data_for_pangenomics/default-state.json
index 762ea9aae3..3f7ff84c36 100644
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/default-state.json
+++ b/anvio/tests/sandbox/mock_data_for_pangenomics/default-state.json
@@ -5,115 +5,152 @@
     "current-view": "gene_cluster_presence_absence",
     "angle-min": "0",
     "angle-max": "270",
-    "tree-radius": "3000",
+    "tree-radius": "2456",
     "tree-height": "0",
     "tree-width": "0",
     "layer-margin": "15",
-    "outer-ring-height": "60",
+    "outer-ring-height": "120",
     "outer-ring-margin": "30",
     "edge-normalization": false,
     "custom-layer-margin": true,
-    "show-grid-for-bins": false,
+    "show-grid-for-bins": true,
+    "show-shade-for-bins": false,
+    "shade-fill-opacity": "0.15",
+    "invert-shade-for-bins": false,
+    "inverse-fill-opacity": "0.2",
+    "inverse-color": "#000",
     "grid-color": "#FFFFFF",
     "grid-width": "1",
     "samples-order": "custom",
     "max-font-size": "60",
     "optimize-speed": true,
     "show-bin-labels": true,
+    "begins-from-branch": false,
     "bin-labels-font-size": "128",
     "autorotate-bin-labels": true,
+    "estimate-taxonomy": false,
     "bin-labels-angle": "0",
-    "background-opacity": "0.3",
+    "background-opacity": "0.15",
     "max-font-size-label": "120",
     "draw-guide-lines": "no",
+    "state-name": "",
+    "show-support-values": false,
+    "support-range-low": "0",
+    "support-range-high": "100",
+    "support-display-symbol": false,
+    "support-symbol-invert": false,
+    "support-display-number": false,
+    "support-symbol-size": "12",
+    "support-symbol-color": "#AA0000",
+    "support-font-size": "15",
+    "support-text-rotation": "0",
     "layer-order": [
-        "g01",
-        "g02",
-        "g03",
+        "E_faecalis_6557",
+        "E_faecalis_6240",
+        "E_faecalis_6563",
+        "E_faecalis_6255",
+        "E_faecalis_6512",
+        "COG20_CATEGORY",
+        "COG20_FUNCTION",
+        "COG20_PATHWAY",
         "SCG",
-        "GO_TERMS",
-        "EGGNOG_BACT",
-        "COG_FUNCTION",
-        "KEGG_PATHWAYS",
-        "num_genomes_gene_cluster_has_hits",
-        "num_genes_in_gene_cluster",
-        "max_num_paralogs",
+        "combined_homogeneity_index",
         "functional_homogeneity_index",
-        "geometric_homogeneity_index"
+        "geometric_homogeneity_index",
+        "num_genes_in_gene_cluster",
+        "num_genomes_gene_cluster_has_hits",
+        "max_num_paralogs"
     ],
     "categorical_data_colors": {
-        "KEGG_PATHWAYS": {
-            "KNOWN": "#00AA00",
-            "UNKNOWN": "#F0F0F0"
+        "COG20_CATEGORY": {
+            "UNKNOWN": "#d9d9d9",
+            "KNOWN": "#00AA00"
         },
-        "EGGNOG_BACT": {
-            "KNOWN": "#00AA00",
-            "UNKNOWN": "#F0F0F0"
+        "COG20_FUNCTION": {
+            "UNKNOWN": "#d9d9d9",
+            "KNOWN": "#00AA00"
         },
-        "GO_TERMS": {
-            "KNOWN": "#00AA00",
-            "UNKNOWN": "#F0F0F0"
-        },
-        "COG_FUNCTION": {
-            "KNOWN": "#00AA00",
-            "UNKNOWN": "#F0F0F0"
+        "COG20_PATHWAY": {
+            "UNKNOWN": "#d9d9d9",
+            "KNOWN": "#00AA00"
         }
     },
     "stack_bar_colors": {},
     "layers": {
-        "g01": {
+        "E_faecalis_6240": {
             "color": "#000000",
             "height": "300",
             "margin": "15",
             "type": "bar",
             "color-start": "#FFFFFF"
         },
-        "g02": {
+        "E_faecalis_6255": {
             "color": "#000000",
             "height": "300",
             "margin": "15",
             "type": "bar",
             "color-start": "#FFFFFF"
         },
-        "g03": {
+        "E_faecalis_6512": {
             "color": "#000000",
             "height": "300",
             "margin": "15",
             "type": "bar",
             "color-start": "#FFFFFF"
         },
-        "num_genomes_gene_cluster_has_hits": {
-            "color": "#002e4f",
-            "height": "180",
-            "margin": "60",
+        "E_faecalis_6557": {
+            "color": "#000000",
+            "height": "300",
+            "margin": "15",
             "type": "bar",
             "color-start": "#FFFFFF"
         },
-        "num_genes_in_gene_cluster": {
-            "color": "#002e4f",
-            "height": "180",
+        "E_faecalis_6563": {
+            "color": "#000000",
+            "height": "300",
             "margin": "15",
             "type": "bar",
             "color-start": "#FFFFFF"
         },
-        "max_num_paralogs": {
-            "color": "#002e4f",
-            "height": "180",
+        "COG20_CATEGORY": {
+            "color": "#000000",
+            "height": "90",
+            "margin": "45",
+            "type": "color",
+            "color-start": "#DDDDDD"
+        },
+        "COG20_FUNCTION": {
+            "color": "#000000",
+            "height": "90",
             "margin": "15",
-            "type": "bar",
-            "color-start": "#FFFFFF"
+            "type": "color",
+            "color-start": "#DDDDDD"
+        },
+        "COG20_PATHWAY": {
+            "color": "#000000",
+            "height": "90",
+            "margin": "15",
+            "type": "color",
+            "color-start": "#DDDDDD"
         },
         "SCG": {
             "color": "#4f1111",
-            "height": "90",
-            "margin": "60",
+            "height": "180",
+            "margin": "45",
+            "type": "bar",
+            "color-start": "#FFFFFF"
+        },
+        "combined_homogeneity_index": {
+            "color": "#326b59",
+            "height": "180",
+            "margin": "45",
             "type": "bar",
             "color-start": "#FFFFFF"
         },
         "functional_homogeneity_index": {
             "color": "#3D9970",
             "height": "180",
-            "margin": "60",
+            "margin": "15",
             "type": "bar",
             "color-start": "#FFFFFF"
         },
@@ -124,71 +161,42 @@
             "type": "bar",
             "color-start": "#FFFFFF"
         },
-        "KEGG_PATHWAYS": {
-            "color": "#000000",
-            "height": "30",
-            "margin": "15",
-            "type": "color",
-            "color-start": "#DDDDDD"
+        "max_num_paralogs": {
+            "color": "#002e4f",
+            "height": "180",
+            "margin": "45",
+            "type": "bar",
+            "color-start": "#FFFFFF"
         },
-        "EGGNOG_BACT": {
-            "color": "#000000",
-            "height": "30",
+        "num_genes_in_gene_cluster": {
+            "color": "#002e4f",
+            "height": "180",
             "margin": "15",
-            "type": "color",
-            "color-start": "#DDDDDD"
-        },
-        "GO_TERMS": {
-            "color": "#000000",
-            "height": "30",
-            "margin": "60",
-            "type": "color",
-            "color-start": "#DDDDDD"
+            "type": "bar",
+            "color-start": "#FFFFFF"
         },
-        "COG_FUNCTION": {
-            "color": "#000000",
-            "height": "30",
+        "num_genomes_gene_cluster_has_hits": {
+            "color": "#002e4f",
+            "height": "180",
             "margin": "15",
-            "type": "color",
-            "color-start": "#DDDDDD"
+            "type": "bar",
+            "color-start": "#FFFFFF"
         }
     },
     "views": {
-        "PC_presence_absence": {
-            "g01": {
-                "normalization": "log",
-                "min": {
-                    "value": "0",
-                    "disabled": false
-                },
-                "max": {
-                    "value": "0.30102999566398114",
-                    "disabled": false
-                }
-            },
-            "g02": {
-                "normalization": "log",
-                "min": {
-                    "value": "0",
-                    "disabled": false
-                },
-                "max": {
-                    "value": "0.30102999566398114",
-                    "disabled": false
-                }
-            },
-            "g03": {
-                "normalization": "log",
+        "gene_cluster_presence_absence": {
+            "E_faecalis_6240": {
+                "normalization": "none",
                 "min": {
                     "value": "0",
                     "disabled": false
                 },
                 "max": {
-                    "value": "0.30102999566398114",
+                    "value": "1",
                     "disabled": false
                 }
             },
-            "SCG": {
+            "E_faecalis_6255": {
                 "normalization": "none",
                 "min": {
                     "value": "0",
@@ -199,41 +207,7 @@
                     "disabled": false
                 }
             },
-            "KEGG_PATHWAYS": {
-                "min": {
-                    "disabled": false
-                },
-                "max": {
-                    "disabled": false
-                }
-            },
-            "EGGNOG_BACT": {
-                "min": {
-                    "disabled": false
-                },
-                "max": {
-                    "disabled": false
-                }
-            },
-            "GO_TERMS": {
-                "min": {
-                    "disabled": false
-                },
-                "max": {
-                    "disabled": false
-                }
-            },
-            "COG_FUNCTION": {
-                "min": {
-                    "disabled": false
-                },
-                "max": {
-                    "disabled": false
-                }
-            }
-        },
-        "gene_cluster_presence_absence": {
-            "g01": {
+            "E_faecalis_6512": {
                 "normalization": "none",
                 "min": {
                     "value": "0",
@@ -244,7 +218,7 @@
                     "disabled": false
                 }
             },
-            "g02": {
+            "E_faecalis_6557": {
                 "normalization": "none",
                 "min": {
                     "value": "0",
@@ -255,7 +229,7 @@
                     "disabled": false
                 }
             },
-            "g03": {
+            "E_faecalis_6563": {
                 "normalization": "none",
                 "min": {
                     "value": "0",
@@ -266,36 +240,27 @@
                     "disabled": false
                 }
             },
-            "num_genomes_gene_cluster_has_hits": {
-                "normalization": "none",
+            "COG20_CATEGORY": {
                 "min": {
-                    "value": "0",
                     "disabled": false
                 },
                 "max": {
-                    "value": "3",
                     "disabled": false
                 }
             },
-            "num_genes_in_gene_cluster": {
-                "normalization": "sqrt",
+            "COG20_FUNCTION": {
                 "min": {
-                    "value": "0",
                     "disabled": false
                 },
                 "max": {
-                    "value": "2.23606797749979",
                     "disabled": false
                 }
             },
-            "max_num_paralogs": {
-                "normalization": "none",
+            "COG20_PATHWAY": {
                 "min": {
-                    "value": "1",
                     "disabled": false
                 },
                 "max": {
-                    "value": "2",
                     "disabled": false
                 }
             },
@@ -310,7 +275,7 @@
                     "disabled": false
                 }
             },
-            "functional_homogeneity_index": {
+            "combined_homogeneity_index": {
                 "normalization": "none",
                 "min": {
                     "value": "0",
@@ -321,7 +286,7 @@
                     "disabled": false
                 }
             },
-            "geometric_homogeneity_index": {
+            "functional_homogeneity_index": {
                 "normalization": "none",
                 "min": {
                     "value": "0",
@@ -332,48 +297,53 @@
                     "disabled": false
                 }
             },
-            "KEGG_PATHWAYS": {
+            "geometric_homogeneity_index": {
+                "normalization": "none",
                 "min": {
+                    "value": "0",
                     "disabled": false
                 },
                 "max": {
+                    "value": "1",
                     "disabled": false
                 }
             },
-            "EGGNOG_BACT": {
+            "max_num_paralogs": {
+                "normalization": "none",
                 "min": {
+                    "value": "1",
                     "disabled": false
                 },
                 "max": {
+                    "value": "4",
                     "disabled": false
                 }
             },
-            "GO_TERMS": {
+            "num_genes_in_gene_cluster": {
+                "normalization": "sqrt",
                 "min": {
+                    "value": "0",
                     "disabled": false
                 },
                 "max": {
+                    "value": "3.7416573867739413",
                     "disabled": false
                 }
             },
-            "COG_FUNCTION": {
+            "num_genomes_gene_cluster_has_hits": {
+                "normalization": "none",
                 "min": {
+                    "value": "0",
                     "disabled": false
                 },
                 "max": {
+                    "value": "5",
                     "disabled": false
                 }
             }
         }
     },
-    "samples-categorical-colors": {
-        "default": {
-            "group": {
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-                "G2": "#048956"
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     "samples-stack-bar-colors": {},
     "samples-edge-length-normalization": true,
     "samples-ignore-branch-length": false,
@@ -408,40 +378,156 @@
             "group": "default"
         },
         {
-            "layer_name": "num_gene_clusters",
+            "layer_name": "singleton_gene_clusters",
             "group": "default"
         },
         {
-            "layer_name": "singleton_gene_clusters",
+            "layer_name": "num_gene_clusters",
             "group": "default"
         },
         {
-            "layer_name": "group",
-            "group": "default"
+            "layer_name": "E_faecalis_6512",
+            "group": "ANI_alignment_coverage"
+        },
+        {
+            "layer_name": "E_faecalis_6255",
+            "group": "ANI_alignment_coverage"
+        },
+        {
+            "layer_name": "E_faecalis_6563",
+            "group": "ANI_alignment_coverage"
+        },
+        {
+            "layer_name": "E_faecalis_6240",
+            "group": "ANI_alignment_coverage"
+        },
+        {
+            "layer_name": "E_faecalis_6557",
+            "group": "ANI_alignment_coverage"
+        },
+        {
+            "layer_name": "E_faecalis_6512",
+            "group": "ANI_alignment_lengths"
+        },
+        {
+            "layer_name": "E_faecalis_6255",
+            "group": "ANI_alignment_lengths"
+        },
+        {
+            "layer_name": "E_faecalis_6563",
+            "group": "ANI_alignment_lengths"
+        },
+        {
+            "layer_name": "E_faecalis_6240",
+            "group": "ANI_alignment_lengths"
+        },
+        {
+            "layer_name": "E_faecalis_6557",
+            "group": "ANI_alignment_lengths"
+        },
+        {
+            "layer_name": "E_faecalis_6512",
+            "group": "ANI_hadamard"
+        },
+        {
+            "layer_name": "E_faecalis_6255",
+            "group": "ANI_hadamard"
+        },
+        {
+            "layer_name": "E_faecalis_6563",
+            "group": "ANI_hadamard"
+        },
+        {
+            "layer_name": "E_faecalis_6240",
+            "group": "ANI_hadamard"
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+        {
+            "layer_name": "E_faecalis_6557",
+            "group": "ANI_hadamard"
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+        {
+            "layer_name": "E_faecalis_6512",
+            "group": "ANI_percentage_identity"
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+        {
+            "layer_name": "E_faecalis_6255",
+            "group": "ANI_percentage_identity"
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+        {
+            "layer_name": "E_faecalis_6563",
+            "group": "ANI_percentage_identity"
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+        {
+            "layer_name": "E_faecalis_6240",
+            "group": "ANI_percentage_identity"
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+        {
+            "layer_name": "E_faecalis_6557",
+            "group": "ANI_percentage_identity"
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+        {
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+            "group": "ANI_similarity_errors"
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+        {
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+            "group": "ANI_similarity_errors"
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+        {
+            "layer_name": "E_faecalis_6563",
+            "group": "ANI_similarity_errors"
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+        {
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+            "group": "ANI_similarity_errors"
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+        {
+            "layer_name": "E_faecalis_6557",
+            "group": "ANI_similarity_errors"
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+        {
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+            "group": "ANI_full_percentage_identity"
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+        {
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+            "group": "ANI_full_percentage_identity"
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+        {
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+            "group": "ANI_full_percentage_identity"
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+        {
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+            "group": "ANI_full_percentage_identity"
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+        {
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+            "group": "ANI_full_percentage_identity"
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@@ -450,32 +536,32 @@
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@@ -484,11 +570,11 @@
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@@ -501,11 +587,11 @@
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@@ -518,15 +604,15 @@
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@@ -535,16 +621,16 @@
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@@ -552,16 +638,16 @@
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@@ -569,28 +655,543 @@
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+        "ANI_percentage_identity": true,
+        "ANI_similarity_errors": false,
         "default": true
     }
 }
\ No newline at end of file
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/example-gene-clusters-collection.txt b/anvio/tests/sandbox/mock_data_for_pangenomics/example-gene-clusters-collection.txt
index 0e18f1fdb9..abc98a0b9e 100644
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/example-gene-clusters-collection.txt
+++ b/anvio/tests/sandbox/mock_data_for_pangenomics/example-gene-clusters-collection.txt
@@ -1,17 +1,85 @@
-GC_00000120	GENE_CLUSTER_BIN_3_G03
-GC_00000118	GENE_CLUSTER_BIN_3_G03
-GC_00000119	GENE_CLUSTER_BIN_3_G03
-GC_00000117	GENE_CLUSTER_BIN_2_G01_G02
-GC_00000116	GENE_CLUSTER_BIN_2_G01_G02
-GC_00000115	GENE_CLUSTER_BIN_2_G01_G02
-GC_00000114	GENE_CLUSTER_BIN_2_G01_G02
-GC_00000113	GENE_CLUSTER_BIN_2_G01_G02
-GC_00000112	GENE_CLUSTER_BIN_2_G01_G02
-GC_00000111	GENE_CLUSTER_BIN_2_G01_G02
-GC_00000110	GENE_CLUSTER_BIN_2_G01_G02
-GC_00000109	GENE_CLUSTER_BIN_2_G01_G02
-GC_00000107	GENE_CLUSTER_BIN_2_G01_G02
-GC_00000108	GENE_CLUSTER_BIN_2_G01_G02
+GC_00000188	GENE_CLUSTER_BIN_1_CORE
+GC_00000187	GENE_CLUSTER_BIN_1_CORE
+GC_00000186	GENE_CLUSTER_BIN_1_CORE
+GC_00000185	GENE_CLUSTER_BIN_1_CORE
+GC_00000184	GENE_CLUSTER_BIN_1_CORE
+GC_00000183	GENE_CLUSTER_BIN_1_CORE
+GC_00000182	GENE_CLUSTER_BIN_1_CORE
+GC_00000181	GENE_CLUSTER_BIN_1_CORE
+GC_00000180	GENE_CLUSTER_BIN_1_CORE
+GC_00000179	GENE_CLUSTER_BIN_1_CORE
+GC_00000178	GENE_CLUSTER_BIN_1_CORE
+GC_00000177	GENE_CLUSTER_BIN_1_CORE
+GC_00000176	GENE_CLUSTER_BIN_1_CORE
+GC_00000175	GENE_CLUSTER_BIN_1_CORE
+GC_00000174	GENE_CLUSTER_BIN_1_CORE
+GC_00000173	GENE_CLUSTER_BIN_1_CORE
+GC_00000172	GENE_CLUSTER_BIN_1_CORE
+GC_00000171	GENE_CLUSTER_BIN_1_CORE
+GC_00000170	GENE_CLUSTER_BIN_1_CORE
+GC_00000169	GENE_CLUSTER_BIN_1_CORE
+GC_00000168	GENE_CLUSTER_BIN_1_CORE
+GC_00000167	GENE_CLUSTER_BIN_1_CORE
+GC_00000166	GENE_CLUSTER_BIN_1_CORE
+GC_00000165	GENE_CLUSTER_BIN_1_CORE
+GC_00000164	GENE_CLUSTER_BIN_1_CORE
+GC_00000163	GENE_CLUSTER_BIN_1_CORE
+GC_00000162	GENE_CLUSTER_BIN_1_CORE
+GC_00000161	GENE_CLUSTER_BIN_1_CORE
+GC_00000160	GENE_CLUSTER_BIN_1_CORE
+GC_00000159	GENE_CLUSTER_BIN_1_CORE
+GC_00000158	GENE_CLUSTER_BIN_1_CORE
+GC_00000157	GENE_CLUSTER_BIN_1_CORE
+GC_00000156	GENE_CLUSTER_BIN_1_CORE
+GC_00000155	GENE_CLUSTER_BIN_1_CORE
+GC_00000154	GENE_CLUSTER_BIN_1_CORE
+GC_00000153	GENE_CLUSTER_BIN_1_CORE
+GC_00000152	GENE_CLUSTER_BIN_1_CORE
+GC_00000151	GENE_CLUSTER_BIN_1_CORE
+GC_00000150	GENE_CLUSTER_BIN_1_CORE
+GC_00000149	GENE_CLUSTER_BIN_1_CORE
+GC_00000148	GENE_CLUSTER_BIN_1_CORE
+GC_00000147	GENE_CLUSTER_BIN_1_CORE
+GC_00000146	GENE_CLUSTER_BIN_1_CORE
+GC_00000145	GENE_CLUSTER_BIN_1_CORE
+GC_00000144	GENE_CLUSTER_BIN_1_CORE
+GC_00000143	GENE_CLUSTER_BIN_1_CORE
+GC_00000142	GENE_CLUSTER_BIN_1_CORE
+GC_00000141	GENE_CLUSTER_BIN_1_CORE
+GC_00000140	GENE_CLUSTER_BIN_1_CORE
+GC_00000139	GENE_CLUSTER_BIN_1_CORE
+GC_00000138	GENE_CLUSTER_BIN_1_CORE
+GC_00000137	GENE_CLUSTER_BIN_1_CORE
+GC_00000136	GENE_CLUSTER_BIN_1_CORE
+GC_00000135	GENE_CLUSTER_BIN_1_CORE
+GC_00000134	GENE_CLUSTER_BIN_1_CORE
+GC_00000133	GENE_CLUSTER_BIN_1_CORE
+GC_00000132	GENE_CLUSTER_BIN_1_CORE
+GC_00000131	GENE_CLUSTER_BIN_1_CORE
+GC_00000130	GENE_CLUSTER_BIN_1_CORE
+GC_00000129	GENE_CLUSTER_BIN_1_CORE
+GC_00000128	GENE_CLUSTER_BIN_1_CORE
+GC_00000127	GENE_CLUSTER_BIN_1_CORE
+GC_00000126	GENE_CLUSTER_BIN_1_CORE
+GC_00000125	GENE_CLUSTER_BIN_1_CORE
+GC_00000124	GENE_CLUSTER_BIN_1_CORE
+GC_00000123	GENE_CLUSTER_BIN_1_CORE
+GC_00000122	GENE_CLUSTER_BIN_1_CORE
+GC_00000121	GENE_CLUSTER_BIN_1_CORE
+GC_00000120	GENE_CLUSTER_BIN_1_CORE
+GC_00000119	GENE_CLUSTER_BIN_1_CORE
+GC_00000118	GENE_CLUSTER_BIN_1_CORE
+GC_00000117	GENE_CLUSTER_BIN_1_CORE
+GC_00000116	GENE_CLUSTER_BIN_1_CORE
+GC_00000115	GENE_CLUSTER_BIN_1_CORE
+GC_00000114	GENE_CLUSTER_BIN_1_CORE
+GC_00000113	GENE_CLUSTER_BIN_1_CORE
+GC_00000112	GENE_CLUSTER_BIN_1_CORE
+GC_00000111	GENE_CLUSTER_BIN_1_CORE
+GC_00000110	GENE_CLUSTER_BIN_1_CORE
+GC_00000109	GENE_CLUSTER_BIN_1_CORE
+GC_00000108	GENE_CLUSTER_BIN_1_CORE
+GC_00000107	GENE_CLUSTER_BIN_1_CORE
 GC_00000106	GENE_CLUSTER_BIN_1_CORE
 GC_00000105	GENE_CLUSTER_BIN_1_CORE
 GC_00000104	GENE_CLUSTER_BIN_1_CORE
@@ -23,7 +91,6 @@ GC_00000099	GENE_CLUSTER_BIN_1_CORE
 GC_00000098	GENE_CLUSTER_BIN_1_CORE
 GC_00000097	GENE_CLUSTER_BIN_1_CORE
 GC_00000096	GENE_CLUSTER_BIN_1_CORE
-GC_00000095	GENE_CLUSTER_BIN_1_CORE
 GC_00000094	GENE_CLUSTER_BIN_1_CORE
 GC_00000093	GENE_CLUSTER_BIN_1_CORE
 GC_00000092	GENE_CLUSTER_BIN_1_CORE
@@ -115,3 +182,167 @@ GC_00000007	GENE_CLUSTER_BIN_1_CORE
 GC_00000006	GENE_CLUSTER_BIN_1_CORE
 GC_00000005	GENE_CLUSTER_BIN_1_CORE
 GC_00000004	GENE_CLUSTER_BIN_1_CORE
+GC_00000003	GENE_CLUSTER_BIN_1_CORE
+GC_00000002	GENE_CLUSTER_BIN_1_CORE
+GC_00000236	GENE_CLUSTER_BIN_2
+GC_00000235	GENE_CLUSTER_BIN_2
+GC_00000234	GENE_CLUSTER_BIN_2
+GC_00000233	GENE_CLUSTER_BIN_2
+GC_00000231	GENE_CLUSTER_BIN_2
+GC_00000230	GENE_CLUSTER_BIN_2
+GC_00000228	GENE_CLUSTER_BIN_2
+GC_00000227	GENE_CLUSTER_BIN_2
+GC_00000226	GENE_CLUSTER_BIN_2
+GC_00000225	GENE_CLUSTER_BIN_2
+GC_00000224	GENE_CLUSTER_BIN_2
+GC_00000223	GENE_CLUSTER_BIN_2
+GC_00000222	GENE_CLUSTER_BIN_2
+GC_00000221	GENE_CLUSTER_BIN_2
+GC_00000220	GENE_CLUSTER_BIN_2
+GC_00000219	GENE_CLUSTER_BIN_2
+GC_00000218	GENE_CLUSTER_BIN_2
+GC_00000217	GENE_CLUSTER_BIN_2
+GC_00000216	GENE_CLUSTER_BIN_2
+GC_00000215	GENE_CLUSTER_BIN_2
+GC_00000214	GENE_CLUSTER_BIN_2
+GC_00000213	GENE_CLUSTER_BIN_2
+GC_00000212	GENE_CLUSTER_BIN_2
+GC_00000211	GENE_CLUSTER_BIN_2
+GC_00000210	GENE_CLUSTER_BIN_2
+GC_00000209	GENE_CLUSTER_BIN_2
+GC_00000208	GENE_CLUSTER_BIN_2
+GC_00000207	GENE_CLUSTER_BIN_2
+GC_00000206	GENE_CLUSTER_BIN_2
+GC_00000205	GENE_CLUSTER_BIN_2
+GC_00000204	GENE_CLUSTER_BIN_2
+GC_00000203	GENE_CLUSTER_BIN_2
+GC_00000202	GENE_CLUSTER_BIN_2
+GC_00000201	GENE_CLUSTER_BIN_2
+GC_00000200	GENE_CLUSTER_BIN_2
+GC_00000199	GENE_CLUSTER_BIN_2
+GC_00000369	GENE_CLUSTER_BIN_3
+GC_00000367	GENE_CLUSTER_BIN_3
+GC_00000365	GENE_CLUSTER_BIN_3
+GC_00000362	GENE_CLUSTER_BIN_3
+GC_00000361	GENE_CLUSTER_BIN_3
+GC_00000360	GENE_CLUSTER_BIN_3
+GC_00000358	GENE_CLUSTER_BIN_3
+GC_00000355	GENE_CLUSTER_BIN_3
+GC_00000352	GENE_CLUSTER_BIN_3
+GC_00000351	GENE_CLUSTER_BIN_3
+GC_00000349	GENE_CLUSTER_BIN_3
+GC_00000348	GENE_CLUSTER_BIN_3
+GC_00000347	GENE_CLUSTER_BIN_3
+GC_00000346	GENE_CLUSTER_BIN_3
+GC_00000342	GENE_CLUSTER_BIN_3
+GC_00000337	GENE_CLUSTER_BIN_3
+GC_00000336	GENE_CLUSTER_BIN_3
+GC_00000335	GENE_CLUSTER_BIN_3
+GC_00000334	GENE_CLUSTER_BIN_3
+GC_00000332	GENE_CLUSTER_BIN_3
+GC_00000331	GENE_CLUSTER_BIN_3
+GC_00000328	GENE_CLUSTER_BIN_3
+GC_00000325	GENE_CLUSTER_BIN_3
+GC_00000323	GENE_CLUSTER_BIN_3
+GC_00000322	GENE_CLUSTER_BIN_3
+GC_00000320	GENE_CLUSTER_BIN_3
+GC_00000317	GENE_CLUSTER_BIN_3
+GC_00000315	GENE_CLUSTER_BIN_3
+GC_00000312	GENE_CLUSTER_BIN_3
+GC_00000309	GENE_CLUSTER_BIN_3
+GC_00000308	GENE_CLUSTER_BIN_3
+GC_00000307	GENE_CLUSTER_BIN_3
+GC_00000303	GENE_CLUSTER_BIN_3
+GC_00000302	GENE_CLUSTER_BIN_3
+GC_00000299	GENE_CLUSTER_BIN_3
+GC_00000296	GENE_CLUSTER_BIN_3
+GC_00000295	GENE_CLUSTER_BIN_3
+GC_00000291	GENE_CLUSTER_BIN_3
+GC_00000289	GENE_CLUSTER_BIN_3
+GC_00000288	GENE_CLUSTER_BIN_3
+GC_00000286	GENE_CLUSTER_BIN_3
+GC_00000285	GENE_CLUSTER_BIN_3
+GC_00000284	GENE_CLUSTER_BIN_3
+GC_00000281	GENE_CLUSTER_BIN_3
+GC_00000278	GENE_CLUSTER_BIN_3
+GC_00000277	GENE_CLUSTER_BIN_3
+GC_00000274	GENE_CLUSTER_BIN_3
+GC_00000273	GENE_CLUSTER_BIN_3
+GC_00000270	GENE_CLUSTER_BIN_3
+GC_00000268	GENE_CLUSTER_BIN_3
+GC_00000266	GENE_CLUSTER_BIN_3
+GC_00000263	GENE_CLUSTER_BIN_3
+GC_00000260	GENE_CLUSTER_BIN_3
+GC_00000258	GENE_CLUSTER_BIN_3
+GC_00000256	GENE_CLUSTER_BIN_3
+GC_00000255	GENE_CLUSTER_BIN_3
+GC_00000253	GENE_CLUSTER_BIN_3
+GC_00000252	GENE_CLUSTER_BIN_3
+GC_00000251	GENE_CLUSTER_BIN_3
+GC_00000249	GENE_CLUSTER_BIN_3
+GC_00000366	GENE_CLUSTER_BIN_3
+GC_00000364	GENE_CLUSTER_BIN_3
+GC_00000359	GENE_CLUSTER_BIN_3
+GC_00000357	GENE_CLUSTER_BIN_3
+GC_00000356	GENE_CLUSTER_BIN_3
+GC_00000353	GENE_CLUSTER_BIN_3
+GC_00000350	GENE_CLUSTER_BIN_3
+GC_00000345	GENE_CLUSTER_BIN_3
+GC_00000344	GENE_CLUSTER_BIN_3
+GC_00000340	GENE_CLUSTER_BIN_3
+GC_00000339	GENE_CLUSTER_BIN_3
+GC_00000338	GENE_CLUSTER_BIN_3
+GC_00000333	GENE_CLUSTER_BIN_3
+GC_00000330	GENE_CLUSTER_BIN_3
+GC_00000329	GENE_CLUSTER_BIN_3
+GC_00000327	GENE_CLUSTER_BIN_3
+GC_00000326	GENE_CLUSTER_BIN_3
+GC_00000324	GENE_CLUSTER_BIN_3
+GC_00000319	GENE_CLUSTER_BIN_3
+GC_00000318	GENE_CLUSTER_BIN_3
+GC_00000316	GENE_CLUSTER_BIN_3
+GC_00000314	GENE_CLUSTER_BIN_3
+GC_00000313	GENE_CLUSTER_BIN_3
+GC_00000310	GENE_CLUSTER_BIN_3
+GC_00000306	GENE_CLUSTER_BIN_3
+GC_00000305	GENE_CLUSTER_BIN_3
+GC_00000304	GENE_CLUSTER_BIN_3
+GC_00000301	GENE_CLUSTER_BIN_3
+GC_00000300	GENE_CLUSTER_BIN_3
+GC_00000298	GENE_CLUSTER_BIN_3
+GC_00000294	GENE_CLUSTER_BIN_3
+GC_00000290	GENE_CLUSTER_BIN_3
+GC_00000287	GENE_CLUSTER_BIN_3
+GC_00000283	GENE_CLUSTER_BIN_3
+GC_00000282	GENE_CLUSTER_BIN_3
+GC_00000279	GENE_CLUSTER_BIN_3
+GC_00000276	GENE_CLUSTER_BIN_3
+GC_00000275	GENE_CLUSTER_BIN_3
+GC_00000272	GENE_CLUSTER_BIN_3
+GC_00000271	GENE_CLUSTER_BIN_3
+GC_00000269	GENE_CLUSTER_BIN_3
+GC_00000265	GENE_CLUSTER_BIN_3
+GC_00000264	GENE_CLUSTER_BIN_3
+GC_00000261	GENE_CLUSTER_BIN_3
+GC_00000259	GENE_CLUSTER_BIN_3
+GC_00000257	GENE_CLUSTER_BIN_3
+GC_00000250	GENE_CLUSTER_BIN_3
+GC_00000248	GENE_CLUSTER_BIN_3
+GC_00000247	GENE_CLUSTER_BIN_3
+GC_00000246	GENE_CLUSTER_BIN_3
+GC_00000243	GENE_CLUSTER_BIN_3
+GC_00000368	GENE_CLUSTER_BIN_3
+GC_00000363	GENE_CLUSTER_BIN_3
+GC_00000341	GENE_CLUSTER_BIN_3
+GC_00000321	GENE_CLUSTER_BIN_3
+GC_00000311	GENE_CLUSTER_BIN_3
+GC_00000293	GENE_CLUSTER_BIN_3
+GC_00000280	GENE_CLUSTER_BIN_3
+GC_00000354	GENE_CLUSTER_BIN_3
+GC_00000297	GENE_CLUSTER_BIN_3
+GC_00000292	GENE_CLUSTER_BIN_3
+GC_00000343	GENE_CLUSTER_BIN_3
+GC_00000267	GENE_CLUSTER_BIN_3
+GC_00000262	GENE_CLUSTER_BIN_3
+GC_00000254	GENE_CLUSTER_BIN_3
+GC_00000241	GENE_CLUSTER_BIN_3
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/external-genomes.txt b/anvio/tests/sandbox/mock_data_for_pangenomics/external-genomes.txt
index e5a20b855d..1fdc3b8052 100644
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/external-genomes.txt
+++ b/anvio/tests/sandbox/mock_data_for_pangenomics/external-genomes.txt
@@ -1,4 +1,6 @@
 name	contigs_db_path
-g01	01.db
-g02	02.db
-g03	03.db
+E_faecalis_6240	E_faecalis_6240.db
+E_faecalis_6255	E_faecalis_6255.db
+E_faecalis_6512	E_faecalis_6512.db
+E_faecalis_6557	E_faecalis_6557.db
+E_faecalis_6563	E_faecalis_6563.db
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/functions/01-functions.txt b/anvio/tests/sandbox/mock_data_for_pangenomics/functions/01-functions.txt
deleted file mode 100644
index d38ddc39f4..0000000000
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/functions/01-functions.txt
+++ /dev/null
@@ -1,495 +0,0 @@
-gene_callers_id	source	accession	function	e_value
-0	EGGNOG_BACT	469008.B21_00002	Aspartokinase	0
-0	COG_FUNCTION	COG0460, COG0527	Homoserine dehydrogenase; Aspartokinase	0
-0	COG_CATEGORY		E	0
-0	GO_TERMS		GO:0003674, GO:0003824, GO:0004072, GO:0004412, GO:0006082, GO:0006520, GO:0006553, GO:0006566, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009066, GO:0009067, GO:0009069, GO:0009070, GO:0009085, GO:0009088, GO:0009089, GO:0009090, GO:0009092, GO:0009987, GO:0016053, GO:0016301, GO:0016310, GO:0016491, GO:0016614, GO:0016616, GO:0016740, GO:0016772, GO:0016774, GO:0019202, GO:0019752, GO:0043436, GO:0043648, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0046451, GO:0055114, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-0	KEGG_PATHWAYS		map00260, map00270, map00300, map01100, map01110, map01120, map01210, map01230	0
-1	EGGNOG_BACT	469008.B21_00003	Catalyzes the ATP-dependent phosphorylation of L- homoserine to L-homoserine phosphate (By similarity)	3.9e-214
-1	COG_FUNCTION	COG0083	Homoserine kinase	0
-1	COG_CATEGORY		E	0
-1	GO_TERMS		GO:0003674, GO:0003824, GO:0004413, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006520, GO:0006566, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009066, GO:0009067, GO:0009088, GO:0009987, GO:0016053, GO:0016301, GO:0016310, GO:0016740, GO:0016772, GO:0016773, GO:0019202, GO:0019752, GO:0040007, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044464, GO:0044710, GO:0044711, GO:0046394, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-1	KEGG_PATHWAYS		map00260, map01100, map01120, map01230	0
-2	EGGNOG_BACT	155864.Z0004	threonine synthase	7e-292
-2	COG_FUNCTION	COG0498	Threonine synthase	0
-2	COG_CATEGORY		E	0
-2	GO_TERMS		GO:0003674, GO:0003824, GO:0004795, GO:0006082, GO:0006520, GO:0006566, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009066, GO:0009067, GO:0009088, GO:0009987, GO:0016053, GO:0016829, GO:0016835, GO:0016838, GO:0019752, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-2	KEGG_PATHWAYS		map00260, map00750, map01100, map01120, map01230	0
-3	COG_CATEGORY		S	0
-4	EGGNOG_BACT	155864.Z0006	UPF0246 protein	1.3e-174
-4	COG_FUNCTION	COG3022	Cytoplasmic iron level regulating protein YaaA, DUF328/UPF0246 family	0
-4	COG_CATEGORY		L	0
-4	GO_TERMS		GO:0006950, GO:0006979, GO:0008150, GO:0033194, GO:0042221, GO:0050896, GO:1901700	0
-5	EGGNOG_BACT	469008.B21_00007	amino acid carrier protein	0
-5	COG_FUNCTION	COG1115	Na+/alanine symporter	0
-5	COG_CATEGORY		E	0
-5	GO_TERMS		GO:0003333, GO:0003674, GO:0005215, GO:0005283, GO:0005294, GO:0005342, GO:0005343, GO:0005416, GO:0005575, GO:0005623, GO:0005886, GO:0006810, GO:0006811, GO:0006812, GO:0006814, GO:0006820, GO:0006865, GO:0008150, GO:0008324, GO:0008509, GO:0008514, GO:0009987, GO:0015075, GO:0015077, GO:0015081, GO:0015171, GO:0015175, GO:0015291, GO:0015293, GO:0015294, GO:0015370, GO:0015655, GO:0015672, GO:0015711, GO:0015804, GO:0015807, GO:0015808, GO:0015849, GO:0016020, GO:0022804, GO:0022857, GO:0022858, GO:0022890, GO:0022891, GO:0022892, GO:0030001, GO:0032328, GO:0034220, GO:0035725, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0046873, GO:0046942, GO:0046943, GO:0051179, GO:0051234, GO:0055085, GO:0071702, GO:0071705, GO:0071944	0
-6	EGGNOG_BACT	469008.B21_00008	Transaldolase is important for the balance of metabolites in the pentose-phosphate pathway (By similarity)	4e-210
-6	COG_FUNCTION	COG0176	Transaldolase	0
-6	COG_CATEGORY		G	0
-6	GO_TERMS		GO:0003674, GO:0003824, GO:0004801, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0005975, GO:0005996, GO:0006006, GO:0006007, GO:0006098, GO:0006139, GO:0006725, GO:0006732, GO:0006733, GO:0006739, GO:0006740, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0009056, GO:0009117, GO:0009987, GO:0016020, GO:0016052, GO:0016740, GO:0016744, GO:0019318, GO:0019320, GO:0019362, GO:0019637, GO:0034641, GO:0044237, GO:0044238, GO:0044281, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0044723, GO:0044724, GO:0046365, GO:0046483, GO:0046496, GO:0051186, GO:0055086, GO:0055114, GO:0071704, GO:0072524, GO:1901360, GO:1901564, GO:1901575	0
-6	KEGG_PATHWAYS		map00030, map01100, map01110, map01120, map01230	0
-7	EGGNOG_BACT	718254.ENC_45330	Molybdenum cofactor synthesis domain protein	4.5e-117
-7	COG_FUNCTION	COG0521	Molybdopterin biosynthesis enzyme MoaB	0
-7	COG_CATEGORY		H	0
-7	KEGG_PATHWAYS		map00790, map01100, map04122	0
-8	EGGNOG_BACT	155864.Z0010	GPR1 FUN34 yaaH family protein	2.4e-121
-8	COG_FUNCTION	COG1584	Succinate-acetate transporter protein	0
-8	COG_CATEGORY		S	0
-8	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0016020, GO:0044464, GO:0071944	0
-9	EGGNOG_BACT	469008.B21_00011	UPF0174 protein YaaW	1.9e-158
-9	COG_FUNCTION	COG4735	Uncharacterized protein YaaW, UPF0174 family	0
-9	COG_CATEGORY		S	0
-10	EGGNOG_BACT	198214.SF0013	UPF0412 protein YaaI	2.6e-89
-10	COG_CATEGORY		S	0
-11	EGGNOG_BACT	155864.Z0014	Acts as a chaperone (By similarity)	0
-11	COG_FUNCTION	COG0443	Molecular chaperone DnaK (HSP70)	0
-11	COG_CATEGORY		O	0
-11	GO_TERMS		GO:0003674, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005886, GO:0006457, GO:0006950, GO:0008150, GO:0008152, GO:0008270, GO:0009266, GO:0009408, GO:0009628, GO:0009987, GO:0016020, GO:0019538, GO:0043167, GO:0043169, GO:0043170, GO:0043335, GO:0044237, GO:0044238, GO:0044260, GO:0044267, GO:0044424, GO:0044464, GO:0046872, GO:0046914, GO:0050896, GO:0071704, GO:0071944	0
-11	KEGG_PATHWAYS		map03018, map05152	0
-12	EGGNOG_BACT	469008.B21_00015	ATP binding to DnaK triggers the release of the substrate protein, thus completing the reaction cycle. Several rounds of ATP-dependent interactions between DnaJ, DnaK and GrpE are required for fully efficient folding. Also involved, together with DnaK and GrpE, in the DNA replication of plasmids through activation of initiation proteins (By similarity)	3.5e-261
-12	COG_FUNCTION	COG0484	DnaJ-class molecular chaperone with C-terminal Zn finger domain	0
-12	COG_CATEGORY		O	0
-12	GO_TERMS		GO:0003674, GO:0003756, GO:0003824, GO:0005488, GO:0005515, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006139, GO:0006259, GO:0006260, GO:0006457, GO:0006725, GO:0006807, GO:0006950, GO:0008150, GO:0008152, GO:0008270, GO:0009058, GO:0009059, GO:0009266, GO:0009408, GO:0009628, GO:0009987, GO:0016020, GO:0016853, GO:0016860, GO:0016862, GO:0016864, GO:0019538, GO:0034641, GO:0034645, GO:0042026, GO:0043167, GO:0043169, GO:0043170, GO:0043335, GO:0044237, GO:0044238, GO:0044249, GO:0044260, GO:0044267, GO:0044424, GO:0044464, GO:0046483, GO:0046872, GO:0046914, GO:0050896, GO:0051082, GO:0071704, GO:0090304, GO:1901360, GO:1901576	0
-13	EGGNOG_BACT	502347.ESCAB7627_1058	Transposase (IS4 family) protein	4.1e-250
-13	COG_FUNCTION	COG3385	IS4 transposase	0
-13	COG_CATEGORY		L	0
-15	EGGNOG_BACT	511145.b0018	cell killing protein encoded within cryptic prophage	6.5e-45
-15	COG_CATEGORY		S	0
-15	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0016020, GO:0044464, GO:0071944	0
-16	EGGNOG_BACT	469008.B21_00019	Na( ) H( ) antiporter that extrudes sodium in exchange for external protons (By similarity)	1.3e-247
-16	COG_FUNCTION	COG3004	Na+/H+ antiporter NhaA	0
-16	COG_CATEGORY		P	0
-16	GO_TERMS		GO:0003674, GO:0005215, GO:0005451, GO:0005575, GO:0005623, GO:0005886, GO:0006810, GO:0006811, GO:0006812, GO:0006814, GO:0006818, GO:0006873, GO:0006875, GO:0006883, GO:0008150, GO:0008324, GO:0009987, GO:0015075, GO:0015077, GO:0015078, GO:0015081, GO:0015291, GO:0015297, GO:0015298, GO:0015299, GO:0015385, GO:0015491, GO:0015672, GO:0015992, GO:0016020, GO:0019725, GO:0022804, GO:0022857, GO:0022890, GO:0022891, GO:0022892, GO:0030001, GO:0030003, GO:0030004, GO:0034220, GO:0035725, GO:0042592, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0046873, GO:0048878, GO:0050801, GO:0051179, GO:0051234, GO:0055065, GO:0055067, GO:0055078, GO:0055080, GO:0055082, GO:0055085, GO:0065007, GO:0065008, GO:0071944	0
-16	KEGG_PATHWAYS		map00680	0
-17	EGGNOG_BACT	469008.B21_00020	transcriptional regulator, lysR family	1.7e-207
-17	COG_FUNCTION	COG0583	DNA-binding transcriptional regulator, LysR family	0
-17	COG_CATEGORY		K	0
-17	GO_TERMS		GO:0001071, GO:0003674, GO:0003700, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006355, GO:0008150, GO:0009889, GO:0010468, GO:0010556, GO:0019219, GO:0019222, GO:0031323, GO:0031326, GO:0044424, GO:0044464, GO:0050789, GO:0050794, GO:0051171, GO:0051252, GO:0060255, GO:0065007, GO:0080090, GO:2000112, GO:2001141	0
-19	EGGNOG_BACT	469595.CSAG_01977	outer membrane usher protein	4.2e-162
-19	COG_FUNCTION	COG3188	Outer membrane usher protein FimD/PapC	0
-19	COG_CATEGORY		M	0
-19	GO_TERMS		GO:0005575, GO:0005623, GO:0006950, GO:0006974, GO:0008150, GO:0009279, GO:0009987, GO:0016020, GO:0019867, GO:0030312, GO:0030313, GO:0031975, GO:0033554, GO:0044462, GO:0044464, GO:0044699, GO:0044763, GO:0050896, GO:0051716, GO:0071944	0
-19	KEGG_PATHWAYS		map05133	0
-21	EGGNOG_BACT	177439.DP0861	is1 orf1	4.4e-63
-21	COG_FUNCTION	COG3677	Transposase	0
-21	COG_CATEGORY		L	0
-22	EGGNOG_BACT	469613.HMPREF0864_01300	is1 orf2	6.9e-86
-22	COG_FUNCTION	COG1662	Transposase and inactivated derivatives, IS1 family	0
-22	COG_CATEGORY		L	0
-22	GO_TERMS		GO:0006139, GO:0006259, GO:0006310, GO:0006313, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0009987, GO:0032196, GO:0034641, GO:0043170, GO:0044237, GO:0044238, GO:0044260, GO:0044699, GO:0044763, GO:0046483, GO:0071704, GO:0090304, GO:1901360	0
-24	EGGNOG_BACT	272620.KPN_00018	(ribosomal) protein	2.3e-38
-24	COG_FUNCTION	COG0268	Ribosomal protein S20	0
-24	COG_CATEGORY		J	0
-24	KEGG_PATHWAYS		map03010	0
-25	EGGNOG_BACT	469008.B21_00028	riboflavin biosynthesis protein ribF	1.4e-209
-25	COG_FUNCTION	COG0196	FAD synthase	0
-25	COG_CATEGORY		H	0
-25	GO_TERMS		GO:0003674, GO:0003824, GO:0003919, GO:0006139, GO:0006725, GO:0006732, GO:0006747, GO:0006753, GO:0006766, GO:0006767, GO:0006771, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008531, GO:0009058, GO:0009108, GO:0009110, GO:0009117, GO:0009123, GO:0009124, GO:0009156, GO:0009161, GO:0009165, GO:0009231, GO:0009259, GO:0009260, GO:0009398, GO:0009987, GO:0016301, GO:0016310, GO:0016740, GO:0016772, GO:0016773, GO:0016779, GO:0018130, GO:0019438, GO:0019637, GO:0019693, GO:0034641, GO:0034654, GO:0040007, GO:0042364, GO:0042726, GO:0042727, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046390, GO:0046443, GO:0046444, GO:0046483, GO:0051186, GO:0051188, GO:0055086, GO:0070566, GO:0071704, GO:0072387, GO:0072388, GO:0090407, GO:1901135, GO:1901137, GO:1901293, GO:1901360, GO:1901362, GO:1901564, GO:1901566, GO:1901576	0
-25	KEGG_PATHWAYS		map00740, map01100	0
-26	EGGNOG_BACT	469008.B21_00029	amino acids such as valine, to avoid such errors it has two additional distinct tRNA(Ile)-dependent editing activities. One activity is designated as 'pretransfer' editing and involves the hydrolysis of activated Val-AMP. The other activity is designated 'posttransfer' editing and involves deacylation of mischarged Val-tRNA(Ile) (By similarity)	0
-26	COG_FUNCTION	COG0060	Isoleucyl-tRNA synthetase	0
-26	COG_CATEGORY		J	0
-26	GO_TERMS		GO:0003674, GO:0003824, GO:0004812, GO:0004822, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006139, GO:0006399, GO:0006412, GO:0006418, GO:0006428, GO:0006520, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0009058, GO:0009059, GO:0009987, GO:0010467, GO:0016070, GO:0016874, GO:0016875, GO:0016876, GO:0019538, GO:0019752, GO:0034641, GO:0034645, GO:0034660, GO:0043038, GO:0043039, GO:0043170, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044260, GO:0044267, GO:0044281, GO:0044424, GO:0044464, GO:0044710, GO:0046483, GO:0071704, GO:0090304, GO:1901360, GO:1901564, GO:1901576	0
-26	KEGG_PATHWAYS		map00970	0
-27	EGGNOG_BACT	469008.B21_00030	This protein specifically catalyzes the removal of signal peptides from prolipoproteins (By similarity)	3.7e-110
-27	COG_FUNCTION	COG0597	Lipoprotein signal peptidase	0
-27	COG_CATEGORY		M, U	0
-27	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0016020, GO:0044464, GO:0071944	0
-27	KEGG_PATHWAYS		map03060	0
-28	EGGNOG_BACT	155864.Z0033	Peptidyl-prolyl cis-trans isomerase	9.2e-99
-28	COG_FUNCTION	COG1047	FKBP-type peptidyl-prolyl cis-trans isomerase 2	0
-28	COG_CATEGORY		O	0
-28	GO_TERMS		GO:0000413, GO:0003674, GO:0003755, GO:0003824, GO:0005488, GO:0005527, GO:0005528, GO:0005575, GO:0006457, GO:0006464, GO:0008144, GO:0008150, GO:0008152, GO:0009987, GO:0016020, GO:0016853, GO:0016859, GO:0018193, GO:0018208, GO:0019538, GO:0036211, GO:0043170, GO:0043412, GO:0044237, GO:0044238, GO:0044260, GO:0044267, GO:0071704, GO:0097159, GO:1901363	0
-29	EGGNOG_BACT	155864.Z0034	Converts 1-hydroxy-2-methyl-2-(E)-butenyl 4-diphosphate into isopentenyl diphosphate (IPP) and dimethylallyl diphosphate (DMAPP) (By similarity)	1.3e-209
-29	COG_FUNCTION	COG0761	4-Hydroxy-3-methylbut-2-enyl diphosphate reductase IspH	0
-29	COG_CATEGORY		I	0
-29	GO_TERMS		GO:0003674, GO:0003824, GO:0006732, GO:0006733, GO:0006743, GO:0006744, GO:0008150, GO:0008152, GO:0009058, GO:0009108, GO:0009636, GO:0009987, GO:0016491, GO:0042180, GO:0042181, GO:0042221, GO:0042375, GO:0042380, GO:0044237, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0045426, GO:0046677, GO:0050896, GO:0051186, GO:0051188, GO:0055114, GO:0071704, GO:1901576, GO:1901661, GO:1901663	0
-29	KEGG_PATHWAYS		map00900, map01100, map01110, map03010	0
-30	EGGNOG_BACT	469008.B21_00033	nucleoside hydrolase	6.6e-208
-30	COG_FUNCTION	COG1957	Inosine-uridine nucleoside N-ribohydrolase	0
-30	COG_CATEGORY		F	0
-30	GO_TERMS		GO:0003674, GO:0003824, GO:0006139, GO:0006725, GO:0006807, GO:0006950, GO:0006974, GO:0008150, GO:0008152, GO:0008477, GO:0009056, GO:0009116, GO:0009119, GO:0009164, GO:0009987, GO:0016787, GO:0016798, GO:0016799, GO:0019439, GO:0033554, GO:0034641, GO:0034655, GO:0042454, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044699, GO:0044710, GO:0044763, GO:0045437, GO:0046483, GO:0046700, GO:0047622, GO:0047724, GO:0050263, GO:0050896, GO:0051716, GO:0055086, GO:0071704, GO:1901135, GO:1901136, GO:1901360, GO:1901361, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658	0
-30	KEGG_PATHWAYS		map00230, map00240, map00760, map01100	0
-31	EGGNOG_BACT	469008.B21_00034	Catalyzes the conversion of 4-hydroxy- tetrahydrodipicolinate (HTPA) to tetrahydrodipicolinate (By similarity)	9e-178
-31	COG_FUNCTION	COG0289	Dihydrodipicolinate reductase	0
-31	COG_CATEGORY		E	0
-31	GO_TERMS		GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006082, GO:0006520, GO:0006553, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0008839, GO:0009058, GO:0009066, GO:0009067, GO:0009085, GO:0009089, GO:0009987, GO:0016053, GO:0016491, GO:0016627, GO:0016628, GO:0019752, GO:0019877, GO:0043436, GO:0043648, GO:0043650, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0044711, GO:0046394, GO:0046451, GO:0055114, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-31	KEGG_PATHWAYS		map00300, map01100, map01110, map01120, map01230	0
-32	EGGNOG_BACT	155864.Z0037	carbamoyl-phosphate synthetase glutamine chain	9.5e-264
-32	COG_FUNCTION	COG0505	Carbamoylphosphate synthase small subunit	0
-32	COG_CATEGORY		F	0
-32	GO_TERMS		GO:0003674, GO:0003824, GO:0004088, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0005951, GO:0006082, GO:0006139, GO:0006206, GO:0006207, GO:0006220, GO:0006221, GO:0006520, GO:0006525, GO:0006526, GO:0006541, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009064, GO:0009084, GO:0009112, GO:0009117, GO:0009165, GO:0009218, GO:0009220, GO:0009259, GO:0009260, GO:0009987, GO:0016053, GO:0016874, GO:0016879, GO:0016884, GO:0018130, GO:0019438, GO:0019637, GO:0019693, GO:0019752, GO:0019856, GO:0032991, GO:0034641, GO:0034654, GO:0043234, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0044711, GO:0046112, GO:0046390, GO:0046394, GO:0046483, GO:0055086, GO:0071704, GO:0072527, GO:0072528, GO:0090407, GO:1901135, GO:1901137, GO:1901293, GO:1901360, GO:1901362, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-32	KEGG_PATHWAYS		map00240, map00250, map01100	0
-33	EGGNOG_BACT	469008.B21_00036	carbamoyl-phosphate synthetase ammonia chain	0
-33	COG_FUNCTION	COG0458	Carbamoylphosphate synthase large subunit	0
-33	COG_CATEGORY		F	0
-33	GO_TERMS		GO:0000166, GO:0001882, GO:0001883, GO:0003674, GO:0003824, GO:0004087, GO:0004088, GO:0005488, GO:0005524, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005886, GO:0005951, GO:0006082, GO:0006139, GO:0006206, GO:0006220, GO:0006221, GO:0006520, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009112, GO:0009117, GO:0009165, GO:0009218, GO:0009220, GO:0009259, GO:0009260, GO:0009987, GO:0016020, GO:0016053, GO:0016597, GO:0016874, GO:0016879, GO:0016884, GO:0017076, GO:0018130, GO:0019438, GO:0019637, GO:0019693, GO:0019752, GO:0019856, GO:0030554, GO:0031406, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032559, GO:0032991, GO:0034641, GO:0034654, GO:0035639, GO:0036094, GO:0043167, GO:0043168, GO:0043169, GO:0043234, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0044711, GO:0046112, GO:0046390, GO:0046394, GO:0046483, GO:0046872, GO:0055086, GO:0071704, GO:0071944, GO:0072527, GO:0072528, GO:0090407, GO:0097159, GO:1901135, GO:1901137, GO:1901265, GO:1901293, GO:1901360, GO:1901362, GO:1901363, GO:1901564, GO:1901566, GO:1901576	0
-33	KEGG_PATHWAYS		map00240, map00250, map01100	0
-34	EGGNOG_BACT	155864.Z0040	Transcriptional activatory protein CaiF	1.1e-89
-34	COG_CATEGORY		K	0
-34	GO_TERMS		GO:0001071, GO:0003674, GO:0003700, GO:0003824, GO:0006082, GO:0006139, GO:0006351, GO:0006355, GO:0006577, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0008735, GO:0009058, GO:0009059, GO:0009437, GO:0009889, GO:0009987, GO:0010467, GO:0010468, GO:0010556, GO:0016070, GO:0016829, GO:0016835, GO:0016836, GO:0018130, GO:0019219, GO:0019222, GO:0019438, GO:0019752, GO:0031323, GO:0031326, GO:0032774, GO:0032787, GO:0034641, GO:0034645, GO:0034654, GO:0043170, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044260, GO:0044271, GO:0044281, GO:0044710, GO:0046483, GO:0050789, GO:0050794, GO:0051171, GO:0051252, GO:0060255, GO:0065007, GO:0071704, GO:0080090, GO:0090304, GO:1901360, GO:1901362, GO:1901576, GO:1901615, GO:2000112, GO:2001141	0
-35	EGGNOG_BACT	469008.B21_00038	Transferase	3.2e-134
-35	COG_FUNCTION	COG0663	Carbonic anhydrase or acetyltransferase, isoleucine patch superfamily	0
-35	COG_CATEGORY		L	0
-35	GO_TERMS		GO:0003674, GO:0003824, GO:0006082, GO:0006577, GO:0006725, GO:0006805, GO:0006807, GO:0008150, GO:0008152, GO:0008735, GO:0009056, GO:0009410, GO:0009437, GO:0009987, GO:0010124, GO:0016054, GO:0016829, GO:0016835, GO:0016836, GO:0019439, GO:0019752, GO:0032787, GO:0034641, GO:0042178, GO:0042221, GO:0042537, GO:0043436, GO:0044237, GO:0044248, GO:0044281, GO:0044282, GO:0044699, GO:0044710, GO:0044712, GO:0044763, GO:0046395, GO:0050896, GO:0051716, GO:0070887, GO:0071466, GO:0071704, GO:0072329, GO:1901360, GO:1901361, GO:1901575, GO:1901615	0
-36	EGGNOG_BACT	316385.ECDH10B_0037	Enoyl-CoA hydratase	3.5e-175
-36	COG_FUNCTION	COG1024	Enoyl-CoA hydratase/carnithine racemase	0
-36	COG_CATEGORY		I	0
-36	GO_TERMS		GO:0003674, GO:0003824, GO:0006082, GO:0006577, GO:0006579, GO:0006807, GO:0008150, GO:0008152, GO:0008809, GO:0009056, GO:0009437, GO:0009987, GO:0016054, GO:0016853, GO:0016854, GO:0016856, GO:0019752, GO:0032787, GO:0034641, GO:0042413, GO:0043436, GO:0044237, GO:0044248, GO:0044270, GO:0044281, GO:0044282, GO:0044710, GO:0044712, GO:0046395, GO:0071704, GO:0072329, GO:1901575, GO:1901615, GO:1901616	0
-36	KEGG_PATHWAYS		map00362, map00363, map00626, map00630, map00650, map00720, map00903, map01100, map01110, map01120	0
-37	EGGNOG_BACT	469008.B21_00040	Could catalyze the transfer of CoA to carnitine, generating the initial carnitinyl-CoA needed for the CaiB reaction cycle	0
-37	COG_FUNCTION	COG0318	Acyl-CoA synthetase (AMP-forming)/AMP-acid ligase II	0
-37	COG_CATEGORY		I, Q	0
-37	GO_TERMS		GO:0003674, GO:0003824, GO:0008150, GO:0008152, GO:0016405, GO:0016874, GO:0016877, GO:0016879, GO:0016881, GO:0051108, GO:0051109	0
-37	KEGG_PATHWAYS		map00627, map00640, map00903, map00930, map00960, map01100, map01110, map01120	0
-38	EGGNOG_BACT	316385.ECDH10B_0039	Catalyzes the reversible transfer of the CoA moiety from gamma-butyrobetainyl-CoA to L-carnitine to generate L-carnitinyl- CoA and gamma-butyrobetaine. Is also able to catalyze the reversible transfer of the CoA moiety from gamma-butyrobetainyl- CoA or L-carnitinyl-CoA to crotonobetaine to generate crotonobetainyl-CoA (By similarity)	2.9e-173
-38	COG_FUNCTION	COG1804	Crotonobetainyl-CoA:carnitine CoA-transferase CaiB and related acyl-CoA transferases	0
-38	COG_CATEGORY		C	0
-38	GO_TERMS		GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006577, GO:0006579, GO:0006807, GO:0008150, GO:0008152, GO:0008735, GO:0009056, GO:0009437, GO:0009987, GO:0016054, GO:0016829, GO:0016835, GO:0016836, GO:0019752, GO:0032787, GO:0034641, GO:0042413, GO:0043436, GO:0044237, GO:0044248, GO:0044270, GO:0044281, GO:0044282, GO:0044424, GO:0044464, GO:0044710, GO:0044712, GO:0046395, GO:0071704, GO:0072329, GO:1901575, GO:1901615, GO:1901616	0
-38	KEGG_PATHWAYS		map00281, map00623, map00626, map00720, map01100, map01110, map01120, map01220	0
-39	EGGNOG_BACT	362663.ECP_0038	Catalyzes the reversible transfer of the CoA moiety from gamma-butyrobetainyl-CoA to L-carnitine to generate L-carnitinyl- CoA and gamma-butyrobetaine. Is also able to catalyze the reversible transfer of the CoA moiety from gamma-butyrobetainyl- CoA or L-carnitinyl-CoA to crotonobetaine to generate crotonobetainyl-CoA (By similarity)	1e-96
-39	COG_FUNCTION	COG1804	Crotonobetainyl-CoA:carnitine CoA-transferase CaiB and related acyl-CoA transferases	0
-39	COG_CATEGORY		C	0
-39	GO_TERMS		GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006577, GO:0006579, GO:0006807, GO:0008150, GO:0008152, GO:0008735, GO:0009056, GO:0009437, GO:0009987, GO:0016054, GO:0016829, GO:0016835, GO:0016836, GO:0019752, GO:0032787, GO:0034641, GO:0042413, GO:0043436, GO:0044237, GO:0044248, GO:0044270, GO:0044281, GO:0044282, GO:0044424, GO:0044464, GO:0044710, GO:0044712, GO:0046395, GO:0071704, GO:0072329, GO:1901575, GO:1901615, GO:1901616	0
-39	KEGG_PATHWAYS		map00281, map00623, map00626, map00720, map01100, map01110, map01120, map01220	0
-40	EGGNOG_BACT	649764.HMPREF0762_01881	Dehydrogenase	9.4e-164
-40	COG_FUNCTION	COG1960	Acyl-CoA dehydrogenase related to the alkylation response protein AidB	0
-40	COG_CATEGORY		I	0
-41	EGGNOG_BACT	469008.B21_00043	Transporter	0
-41	COG_FUNCTION	COG1292	Choline-glycine betaine transporter	0
-41	COG_CATEGORY		P	0
-41	GO_TERMS		GO:0003333, GO:0003674, GO:0005215, GO:0005342, GO:0005575, GO:0005623, GO:0005886, GO:0006810, GO:0006811, GO:0006812, GO:0006820, GO:0006865, GO:0008028, GO:0008150, GO:0008324, GO:0008509, GO:0008514, GO:0009987, GO:0015075, GO:0015101, GO:0015171, GO:0015199, GO:0015226, GO:0015651, GO:0015695, GO:0015697, GO:0015711, GO:0015718, GO:0015838, GO:0015849, GO:0015850, GO:0015879, GO:0016020, GO:0022857, GO:0022891, GO:0022892, GO:0034220, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0046942, GO:0046943, GO:0051179, GO:0051234, GO:0055085, GO:0071702, GO:0071705, GO:0071944, GO:1901618	0
-42	EGGNOG_BACT	701347.Entcl_2473	Electron transfer flavoprotein	2.3e-130
-42	COG_FUNCTION	COG2086	Electron transfer flavoprotein, alpha and beta subunits	0
-42	COG_CATEGORY		C	0
-42	GO_TERMS		GO:0006950, GO:0006974, GO:0008150, GO:0009987, GO:0033554, GO:0044699, GO:0044763, GO:0050896, GO:0051716	0
-42	KEGG_PATHWAYS		map00910	0
-43	EGGNOG_BACT	316385.ECDH10B_0043	Electron transfer flavoprotein	2.8e-209
-43	COG_FUNCTION	COG2025	Electron transfer flavoprotein, alpha subunit	0
-43	COG_CATEGORY		C	0
-43	GO_TERMS		GO:0006082, GO:0006577, GO:0006807, GO:0008150, GO:0008152, GO:0009437, GO:0009987, GO:0019752, GO:0032787, GO:0034641, GO:0043436, GO:0044237, GO:0044281, GO:0044710, GO:0071704, GO:1901615	0
-43	KEGG_PATHWAYS		map00910	0
-44	EGGNOG_BACT	199310.c0053	electron transfer flavoprotein-ubiquinone oxidoreductase	4.2e-285
-44	COG_FUNCTION	COG0644	Dehydrogenase (flavoprotein)	0
-44	COG_CATEGORY		C	0
-44	GO_TERMS		GO:0000166, GO:0003674, GO:0003824, GO:0004174, GO:0005488, GO:0006082, GO:0006577, GO:0006807, GO:0008150, GO:0008152, GO:0009437, GO:0009987, GO:0016491, GO:0016645, GO:0016649, GO:0019752, GO:0032787, GO:0034641, GO:0036094, GO:0043167, GO:0043168, GO:0043436, GO:0044237, GO:0044281, GO:0044710, GO:0048037, GO:0050660, GO:0050662, GO:0051536, GO:0051540, GO:0055114, GO:0071704, GO:0097159, GO:1901265, GO:1901363, GO:1901615	0
-44	KEGG_PATHWAYS		map00910	0
-45	EGGNOG_BACT	155864.Z0050	Could be part of an electron transfer system required for anaerobic carnitine reduction. Could be a 3Fe-4S cluster- containing protein	1.4e-67
-45	COG_FUNCTION	COG2440	Ferredoxin-like protein FixX	0
-45	COG_CATEGORY		C	0
-46	EGGNOG_BACT	316385.ECDH10B_0046	Major Facilitator superfamily	3.2e-298
-46	COG_CATEGORY		G	0
-46	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0016020, GO:0044464, GO:0071944	0
-47	EGGNOG_BACT	199310.c0056	glutathione-regulated potassium-efflux system ancillary protein KefF	1.1e-128
-47	COG_FUNCTION	COG2249	Putative NADPH-quinone reductase (modulator of drug activity B)	0
-47	COG_CATEGORY		S	0
-47	GO_TERMS		GO:0000166, GO:0003674, GO:0003824, GO:0003955, GO:0005488, GO:0008150, GO:0008152, GO:0009055, GO:0010181, GO:0016491, GO:0016651, GO:0016655, GO:0022898, GO:0032409, GO:0032411, GO:0032412, GO:0032414, GO:0032553, GO:0032879, GO:0034762, GO:0034765, GO:0036094, GO:0043167, GO:0043168, GO:0043269, GO:0044093, GO:0044710, GO:0048037, GO:0048518, GO:0050662, GO:0050789, GO:0050794, GO:0051049, GO:0051050, GO:0055114, GO:0065007, GO:0065009, GO:0097159, GO:1901265, GO:1901363	0
-48	EGGNOG_BACT	251221.glr1343	Sodium/hydrogen exchanger family	5.4e-162
-48	COG_FUNCTION	COG0475, COG1226	Kef-type K+ transport system, membrane component KefB; Voltage-gated potassium channel Kch	0
-48	COG_CATEGORY		P	0
-49	EGGNOG_BACT	199310.c0058	Key enzyme in folate metabolism. Catalyzes an essential reaction for de novo glycine and purine synthesis, and for DNA precursor synthesis (By similarity)	1.3e-137
-49	COG_FUNCTION	COG0262	Dihydrofolate reductase	0
-49	COG_CATEGORY		H	0
-49	GO_TERMS		GO:0003674, GO:0003824, GO:0004146, GO:0006082, GO:0006520, GO:0006575, GO:0006725, GO:0006732, GO:0006760, GO:0006766, GO:0006767, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009108, GO:0009110, GO:0009256, GO:0009257, GO:0009396, GO:0009987, GO:0016053, GO:0016491, GO:0016645, GO:0016646, GO:0018130, GO:0019438, GO:0019752, GO:0034641, GO:0042221, GO:0042364, GO:0042398, GO:0042493, GO:0042558, GO:0042559, GO:0043436, GO:0043648, GO:0043650, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0046483, GO:0046653, GO:0046654, GO:0046655, GO:0046656, GO:0050896, GO:0051186, GO:0051188, GO:0055114, GO:0071704, GO:1901360, GO:1901362, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-49	KEGG_PATHWAYS		map00670, map00790, map01100	0
-50	EGGNOG_BACT	316385.ECDH10B_0050	Hydrolyzes diadenosine 5',5'''-P1,P4-tetraphosphate to yield ADP (By similarity)	4.6e-201
-50	COG_FUNCTION	COG0639	Diadenosine tetraphosphatase ApaH/serine/threonine protein phosphatase, PP2A family	0
-50	COG_CATEGORY		F	0
-50	GO_TERMS		GO:0003674, GO:0003824, GO:0004551, GO:0006139, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0008796, GO:0008803, GO:0009987, GO:0015949, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0034641, GO:0044237, GO:0044238, GO:0044281, GO:0044710, GO:0046483, GO:0055086, GO:0071704, GO:1901360	0
-50	KEGG_PATHWAYS		map00230	0
-51	EGGNOG_BACT	155864.Z0059	ApaG protein	1.3e-84
-51	COG_FUNCTION	COG2967	Uncharacterized protein affecting Mg2+/Co2+ transport	0
-51	COG_CATEGORY		P	0
-52	EGGNOG_BACT	316385.ECDH10B_0052	Specifically dimethylates two adjacent adenosines (A1518 and A1519) in the loop of a conserved hairpin near the 3'-end of 16S rRNA in the 30S particle. May play a critical role in biogenesis of 30S subunits (By similarity)	3.2e-185
-52	COG_FUNCTION	COG0030	16S rRNA A1518 and A1519 N6-dimethyltransferase RsmA/KsgA/DIM1 (may also have DNA glycosylase/AP lyase activity)	0
-52	COG_CATEGORY		J	0
-52	GO_TERMS		GO:0000028, GO:0000154, GO:0000179, GO:0001510, GO:0003674, GO:0003676, GO:0003677, GO:0003690, GO:0003723, GO:0003729, GO:0003824, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006139, GO:0006364, GO:0006396, GO:0006725, GO:0006807, GO:0006996, GO:0008150, GO:0008152, GO:0008168, GO:0008170, GO:0008173, GO:0008649, GO:0008757, GO:0009451, GO:0009987, GO:0010467, GO:0016043, GO:0016070, GO:0016072, GO:0016433, GO:0016740, GO:0016741, GO:0019843, GO:0022607, GO:0022613, GO:0022618, GO:0031167, GO:0032259, GO:0034470, GO:0034622, GO:0034641, GO:0034660, GO:0042254, GO:0042255, GO:0042274, GO:0043170, GO:0043412, GO:0043414, GO:0043566, GO:0043933, GO:0044085, GO:0044237, GO:0044238, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044763, GO:0046483, GO:0065003, GO:0070475, GO:0070925, GO:0071704, GO:0071826, GO:0071840, GO:0090304, GO:0097159, GO:1901360, GO:1901363	0
-53	EGGNOG_BACT	316385.ECDH10B_0053	Catalyzes the NAD(P)-dependent oxidation of 4- (phosphohydroxy)-L-threonine (HTP) into 2-amino-3-oxo-4- (phosphohydroxy)butyric acid which spontaneously decarboxylates to form 3-amino-2-oxopropyl phosphate (AHAP) (By similarity)	1.4e-221
-53	COG_FUNCTION	COG1995	4-hydroxy-L-threonine phosphate dehydrogenase PdxA	0
-53	COG_CATEGORY		H	0
-53	GO_TERMS		GO:0000166, GO:0000287, GO:0003674, GO:0003824, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006725, GO:0006732, GO:0006766, GO:0006767, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008270, GO:0008614, GO:0008615, GO:0009058, GO:0009108, GO:0009110, GO:0009987, GO:0016491, GO:0016614, GO:0016616, GO:0018130, GO:0019438, GO:0019637, GO:0034641, GO:0036094, GO:0042364, GO:0042816, GO:0042819, GO:0042822, GO:0042823, GO:0043167, GO:0043169, GO:0044237, GO:0044249, GO:0044271, GO:0044281, GO:0044283, GO:0044424, GO:0044464, GO:0044710, GO:0044711, GO:0046483, GO:0046872, GO:0046914, GO:0048037, GO:0050570, GO:0050662, GO:0051186, GO:0051188, GO:0051287, GO:0055114, GO:0071704, GO:0072524, GO:0072525, GO:0090407, GO:0097159, GO:1901265, GO:1901360, GO:1901362, GO:1901363, GO:1901564, GO:1901566, GO:1901576, GO:1901615, GO:1901617	0
-53	KEGG_PATHWAYS		map00750, map01100	0
-54	EGGNOG_BACT	155864.Z0062	Chaperone involved in the correct folding and assembly of outer membrane proteins. Recognizes specific patterns of aromatic residues and the orientation of their side chains, which are found more frequently in integral outer membrane proteins. May act in both early periplasmic and late outer membrane-associated steps of protein maturation (By similarity)	4.1e-283
-54	COG_FUNCTION	COG0760	Parvulin-like peptidyl-prolyl isomerase	0
-54	COG_CATEGORY		O	0
-54	GO_TERMS		GO:0000413, GO:0003674, GO:0003755, GO:0003824, GO:0005488, GO:0005515, GO:0005575, GO:0005623, GO:0006457, GO:0006458, GO:0006464, GO:0008150, GO:0008152, GO:0009987, GO:0010468, GO:0010608, GO:0016043, GO:0016044, GO:0016853, GO:0016859, GO:0018193, GO:0018208, GO:0019222, GO:0019538, GO:0022607, GO:0030288, GO:0030312, GO:0030313, GO:0031647, GO:0031975, GO:0033218, GO:0036211, GO:0042277, GO:0042592, GO:0042597, GO:0042710, GO:0043163, GO:0043165, GO:0043170, GO:0043412, GO:0044085, GO:0044091, GO:0044237, GO:0044238, GO:0044260, GO:0044267, GO:0044462, GO:0044464, GO:0044699, GO:0044763, GO:0044764, GO:0045229, GO:0048872, GO:0048874, GO:0050789, GO:0050821, GO:0051082, GO:0051084, GO:0051085, GO:0051704, GO:0060255, GO:0060274, GO:0061024, GO:0061077, GO:0065007, GO:0065008, GO:0071704, GO:0071709, GO:0071840, GO:0071944	0
-55	EGGNOG_BACT	316385.ECDH10B_0055	involved in the assembly of LPS in the outer leaflet of the outer membrane. Determines N-hexane tolerance and is involved in outer membrane permeability. Essential for envelope biogenesis (By similarity)	0
-55	COG_FUNCTION	COG1452	LPS assembly outer membrane protein LptD (organic solvent tolerance protein OstA)	0
-55	COG_CATEGORY		M	0
-55	GO_TERMS		GO:0005575, GO:0005623, GO:0006810, GO:0006869, GO:0008150, GO:0009279, GO:0009636, GO:0009987, GO:0010033, GO:0010876, GO:0015920, GO:0016020, GO:0016043, GO:0016044, GO:0019867, GO:0022607, GO:0030312, GO:0030313, GO:0031975, GO:0033036, GO:0042221, GO:0043163, GO:0043165, GO:0044085, GO:0044091, GO:0044462, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0045229, GO:0050896, GO:0051179, GO:0051234, GO:0061024, GO:0071702, GO:0071709, GO:0071840, GO:0071944, GO:1901264	0
-56	EGGNOG_BACT	469008.B21_00058	Regulatory DnaK co-chaperone. Direct interaction between DnaK and DjlA is needed for the induction of the wcaABCDE operon, involved in the synthesis of a colanic acid polysaccharide capsule, possibly through activation of the RcsB RcsC phosphotransfer signaling pathway. The colanic acid capsule may help the bacterium survive conditions outside the host (By similarity)	6.2e-186
-56	COG_FUNCTION	COG1076	DnaJ-domain-containing proteins 1	0
-56	COG_CATEGORY		O	0
-56	GO_TERMS		GO:0003674, GO:0005488, GO:0005515, GO:0005575, GO:0005623, GO:0005886, GO:0005887, GO:0016020, GO:0016021, GO:0031224, GO:0031226, GO:0044425, GO:0044459, GO:0044464, GO:0051087, GO:0071944	0
-57	EGGNOG_BACT	316385.ECDH10B_0060	Pseudouridine synthase	1.2e-152
-57	COG_FUNCTION	COG0564	Pseudouridylate synthase, 23S rRNA- or tRNA-specific	0
-57	COG_CATEGORY		J	0
-57	GO_TERMS		GO:0000154, GO:0000455, GO:0001522, GO:0003674, GO:0003824, GO:0006139, GO:0006364, GO:0006396, GO:0006399, GO:0006400, GO:0006725, GO:0006807, GO:0008033, GO:0008150, GO:0008152, GO:0009451, GO:0009982, GO:0009987, GO:0010467, GO:0016070, GO:0016072, GO:0016853, GO:0016866, GO:0022613, GO:0031118, GO:0031119, GO:0034470, GO:0034641, GO:0034660, GO:0042254, GO:0043170, GO:0043412, GO:0044085, GO:0044237, GO:0044238, GO:0044260, GO:0046483, GO:0071704, GO:0071840, GO:0090304, GO:1901360	0
-58	EGGNOG_BACT	155864.Z0067	Transcription regulator that activates transcription by stimulating RNA polymerase (RNAP) recycling in case of stress conditions such as supercoiled DNA or high salt concentrations. Probably acts by releasing the RNAP, when it is trapped or immobilized on tightly supercoiled DNA. Does not activate transcription on linear DNA. Probably not involved in DNA repair (By similarity)	0
-58	COG_FUNCTION	COG0553	Superfamily II DNA or RNA helicase, SNF2 family	0
-58	COG_CATEGORY		L	0
-58	GO_TERMS		GO:0000166, GO:0001882, GO:0001883, GO:0003674, GO:0003676, GO:0003824, GO:0004386, GO:0005488, GO:0005524, GO:0006139, GO:0006152, GO:0006163, GO:0006195, GO:0006200, GO:0006355, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009123, GO:0009125, GO:0009126, GO:0009128, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009158, GO:0009161, GO:0009164, GO:0009166, GO:0009167, GO:0009169, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009889, GO:0009891, GO:0009893, GO:0009987, GO:0010468, GO:0010556, GO:0010557, GO:0010604, GO:0010628, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0016887, GO:0017076, GO:0017111, GO:0019219, GO:0019222, GO:0019439, GO:0019637, GO:0019693, GO:0030554, GO:0031323, GO:0031325, GO:0031326, GO:0031328, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032559, GO:0034641, GO:0034655, GO:0035639, GO:0036094, GO:0042278, GO:0042454, GO:0043167, GO:0043168, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044710, GO:0045893, GO:0045935, GO:0046034, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0048518, GO:0048522, GO:0050789, GO:0050794, GO:0051171, GO:0051173, GO:0051252, GO:0051254, GO:0055086, GO:0060255, GO:0065007, GO:0071704, GO:0072521, GO:0072523, GO:0080090, GO:0097159, GO:1901135, GO:1901136, GO:1901265, GO:1901292, GO:1901360, GO:1901361, GO:1901363, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658, GO:2000112, GO:2001141	0
-59	EGGNOG_BACT	469008.B21_00061	DNA polymerase	0
-59	COG_FUNCTION	COG0417	DNA polymerase elongation subunit (family B)	0
-59	COG_CATEGORY		L	0
-59	GO_TERMS		GO:0003674, GO:0003824, GO:0003887, GO:0004518, GO:0004527, GO:0004529, GO:0004536, GO:0005575, GO:0005622, GO:0005623, GO:0005694, GO:0006139, GO:0006259, GO:0006260, GO:0006261, GO:0006281, GO:0006289, GO:0006297, GO:0006301, GO:0006725, GO:0006807, GO:0006950, GO:0006974, GO:0007154, GO:0008150, GO:0008152, GO:0008296, GO:0008408, GO:0009058, GO:0009059, GO:0009432, GO:0009605, GO:0009987, GO:0009991, GO:0016740, GO:0016772, GO:0016779, GO:0016787, GO:0016788, GO:0016796, GO:0016895, GO:0018130, GO:0019438, GO:0019985, GO:0031668, GO:0033554, GO:0034061, GO:0034641, GO:0034645, GO:0034654, GO:0043170, GO:0043226, GO:0043228, GO:0043229, GO:0043232, GO:0044237, GO:0044238, GO:0044249, GO:0044260, GO:0044271, GO:0044424, GO:0044464, GO:0044699, GO:0044763, GO:0045004, GO:0045005, GO:0046483, GO:0050896, GO:0051716, GO:0071496, GO:0071704, GO:0071897, GO:0090304, GO:0090305, GO:1901360, GO:1901362, GO:1901576	0
-59	KEGG_PATHWAYS		map00230, map00240, map01100	0
-60	EGGNOG_BACT	469008.B21_00062	L-ribulose-5-phosphate 4-epimerase	9.7e-162
-60	COG_FUNCTION	COG0235	Ribulose-5-phosphate 4-epimerase/Fuculose-1-phosphate aldolase	0
-60	COG_CATEGORY		G	0
-60	GO_TERMS		GO:0003674, GO:0003824, GO:0005975, GO:0005996, GO:0006793, GO:0006796, GO:0008150, GO:0008152, GO:0008742, GO:0009056, GO:0009058, GO:0009987, GO:0016052, GO:0016853, GO:0016854, GO:0016857, GO:0019321, GO:0019323, GO:0019324, GO:0019566, GO:0019568, GO:0019569, GO:0019572, GO:0019637, GO:0044237, GO:0044238, GO:0044723, GO:0044724, GO:0046365, GO:0046373, GO:0051167, GO:0071704, GO:0090407, GO:1901135, GO:1901137, GO:1901159, GO:1901575, GO:1901576	0
-60	KEGG_PATHWAYS		map00040, map00053, map01100, map01120	0
-61	EGGNOG_BACT	362663.ECP_0063	Catalyzes the conversion of L-arabinose to L-ribulose (By similarity)	0
-61	COG_FUNCTION	COG2160	L-arabinose isomerase	0
-61	COG_CATEGORY		G	0
-61	GO_TERMS		GO:0003674, GO:0003824, GO:0005975, GO:0005996, GO:0006793, GO:0006796, GO:0008150, GO:0008152, GO:0008733, GO:0009056, GO:0009058, GO:0009987, GO:0016052, GO:0016853, GO:0016860, GO:0016861, GO:0019321, GO:0019323, GO:0019566, GO:0019568, GO:0019569, GO:0019572, GO:0019637, GO:0044237, GO:0044238, GO:0044723, GO:0044724, GO:0046365, GO:0046373, GO:0051167, GO:0071704, GO:0090407, GO:1901135, GO:1901137, GO:1901159, GO:1901575, GO:1901576	0
-61	KEGG_PATHWAYS		map00040, map01100	0
-62	EGGNOG_BACT	469008.B21_00064	ribulokinase	0
-62	COG_FUNCTION	COG1069	Ribulose kinase	0
-62	COG_CATEGORY		C	0
-62	GO_TERMS		GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005975, GO:0005996, GO:0006793, GO:0006796, GO:0008150, GO:0008152, GO:0008741, GO:0009056, GO:0009058, GO:0009987, GO:0016052, GO:0016301, GO:0016310, GO:0016740, GO:0016772, GO:0016773, GO:0019200, GO:0019321, GO:0019323, GO:0019566, GO:0019568, GO:0019569, GO:0019572, GO:0019637, GO:0044237, GO:0044238, GO:0044262, GO:0044424, GO:0044464, GO:0044723, GO:0044724, GO:0046365, GO:0046373, GO:0046835, GO:0051167, GO:0071704, GO:0090407, GO:1901135, GO:1901137, GO:1901159, GO:1901575, GO:1901576	0
-62	KEGG_PATHWAYS		map00040, map01100	0
-63	EGGNOG_BACT	155864.Z0073	transcriptional regulator (AraC	2.2e-209
-63	COG_CATEGORY		K	0
-63	GO_TERMS		GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005975, GO:0005996, GO:0008150, GO:0008152, GO:0009056, GO:0016052, GO:0019321, GO:0019323, GO:0019566, GO:0019568, GO:0044238, GO:0044424, GO:0044464, GO:0044723, GO:0044724, GO:0046365, GO:0071704, GO:1901575	0
-64	EGGNOG_BACT	469008.B21_00066	Membrane	1.1e-171
-64	COG_FUNCTION	COG0586	Uncharacterized membrane protein DedA, SNARE-associated domain	0
-64	COG_CATEGORY		I	0
-64	GO_TERMS		GO:0000003, GO:0000910, GO:0005575, GO:0005623, GO:0005886, GO:0007049, GO:0008150, GO:0009987, GO:0016020, GO:0019954, GO:0022402, GO:0032505, GO:0043093, GO:0044464, GO:0044699, GO:0044763, GO:0051301, GO:0071944	0
-65	EGGNOG_BACT	469008.B21_00067	ABC, transporter	4.7e-152
-65	COG_FUNCTION	COG3840	ABC-type thiamine transport system, ATPase component	0
-65	COG_CATEGORY		H	0
-65	GO_TERMS		GO:0003674, GO:0003824, GO:0005215, GO:0005575, GO:0005623, GO:0005886, GO:0006139, GO:0006152, GO:0006163, GO:0006195, GO:0006200, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0006810, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009123, GO:0009125, GO:0009126, GO:0009128, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009158, GO:0009161, GO:0009164, GO:0009166, GO:0009167, GO:0009169, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009987, GO:0015234, GO:0015399, GO:0015405, GO:0015888, GO:0015893, GO:0016020, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0016820, GO:0016887, GO:0017111, GO:0019439, GO:0019637, GO:0019693, GO:0022804, GO:0022857, GO:0022891, GO:0022892, GO:0034641, GO:0034655, GO:0035461, GO:0042221, GO:0042278, GO:0042454, GO:0042493, GO:0042623, GO:0042626, GO:0043492, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0044765, GO:0045117, GO:0045118, GO:0046034, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0050896, GO:0051179, GO:0051180, GO:0051183, GO:0051234, GO:0055085, GO:0055086, GO:0071702, GO:0071704, GO:0071705, GO:0071944, GO:0072348, GO:0072521, GO:0072523, GO:0090482, GO:0090484, GO:1901135, GO:1901136, GO:1901292, GO:1901360, GO:1901361, GO:1901474, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658, GO:1901682	0
-65	KEGG_PATHWAYS		map02010	0
-66	EGGNOG_BACT	469008.B21_00068	thiamine transporter membrane protein	0
-66	COG_FUNCTION	COG1178	ABC-type Fe3+ transport system, permease component	0
-66	COG_CATEGORY		P	0
-66	GO_TERMS		GO:0003674, GO:0003824, GO:0005215, GO:0005575, GO:0005623, GO:0005886, GO:0006139, GO:0006152, GO:0006163, GO:0006195, GO:0006200, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0006810, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009123, GO:0009125, GO:0009126, GO:0009128, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009158, GO:0009161, GO:0009164, GO:0009166, GO:0009167, GO:0009169, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009987, GO:0015234, GO:0015399, GO:0015405, GO:0015888, GO:0015893, GO:0016020, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0016820, GO:0016887, GO:0017111, GO:0019439, GO:0019637, GO:0019693, GO:0022804, GO:0022857, GO:0022891, GO:0022892, GO:0034641, GO:0034655, GO:0035461, GO:0042221, GO:0042278, GO:0042454, GO:0042493, GO:0042623, GO:0042626, GO:0043492, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0044765, GO:0045117, GO:0045118, GO:0046034, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0050896, GO:0051179, GO:0051180, GO:0051183, GO:0051234, GO:0055085, GO:0055086, GO:0071702, GO:0071704, GO:0071705, GO:0071944, GO:0072348, GO:0072521, GO:0072523, GO:0090482, GO:0090484, GO:1901135, GO:1901136, GO:1901292, GO:1901360, GO:1901361, GO:1901474, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658, GO:1901682	0
-66	KEGG_PATHWAYS		map02010	0
-67	EGGNOG_BACT	316407.85674313	ABC transporter	2e-227
-67	COG_FUNCTION	COG4143	ABC-type thiamine transport system, periplasmic component	0
-67	COG_CATEGORY		H	0
-67	GO_TERMS		GO:0003674, GO:0003824, GO:0005215, GO:0005575, GO:0005623, GO:0006139, GO:0006152, GO:0006163, GO:0006195, GO:0006200, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0006810, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009123, GO:0009125, GO:0009126, GO:0009128, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009158, GO:0009161, GO:0009164, GO:0009166, GO:0009167, GO:0009169, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009987, GO:0015234, GO:0015399, GO:0015405, GO:0015888, GO:0015893, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0016820, GO:0016887, GO:0017111, GO:0019439, GO:0019637, GO:0019693, GO:0022804, GO:0022857, GO:0022891, GO:0022892, GO:0034641, GO:0034655, GO:0035461, GO:0042221, GO:0042278, GO:0042454, GO:0042493, GO:0042597, GO:0042623, GO:0042626, GO:0043492, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0044765, GO:0045117, GO:0045118, GO:0046034, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0050896, GO:0051179, GO:0051180, GO:0051183, GO:0051234, GO:0055085, GO:0055086, GO:0071702, GO:0071704, GO:0071705, GO:0072348, GO:0072521, GO:0072523, GO:0090482, GO:0090484, GO:1901135, GO:1901136, GO:1901292, GO:1901360, GO:1901361, GO:1901474, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658, GO:1901682	0
-67	KEGG_PATHWAYS		map02010	0
-68	EGGNOG_BACT	469008.B21_00070	Activates the small RNA gene sgrS under glucose- phosphate stress conditions as well as yfdZ. Represses its own transcription under both stress and non-stress conditions. Might act as a sensor of the intracellular accumulation of phosphoglucose by binding these molecules in its C-terminal solute-binding domain (By similarity)	0
-68	COG_FUNCTION	COG4533	DNA-binding transcriptional regulator SgrR  of sgrS sRNA, contains a MarR-type HTH domain and a periplasmic-type solute-binding domain	0
-68	COG_CATEGORY		K	0
-69	COG_CATEGORY		S	0
-70	EGGNOG_BACT	469008.B21_00071	sugar efflux transporter	1.2e-254
-70	COG_CATEGORY		G	0
-70	GO_TERMS		GO:0003674, GO:0005215, GO:0005351, GO:0005402, GO:0005575, GO:0005623, GO:0005886, GO:0006810, GO:0006811, GO:0006812, GO:0006818, GO:0006950, GO:0008150, GO:0008324, GO:0008643, GO:0008645, GO:0009987, GO:0015075, GO:0015144, GO:0015291, GO:0015293, GO:0015294, GO:0015295, GO:0015542, GO:0015672, GO:0015749, GO:0015758, GO:0015766, GO:0015767, GO:0015772, GO:0015992, GO:0016020, GO:0016021, GO:0022804, GO:0022857, GO:0022891, GO:0022892, GO:0031224, GO:0033554, GO:0034219, GO:0034220, GO:0044425, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0050896, GO:0051119, GO:0051179, GO:0051234, GO:0051716, GO:0055085, GO:0071702, GO:0071944, GO:1901476	0
-71	EGGNOG_BACT	316407.21321953	Catalyzes the isomerization between 2-isopropylmalate and 3-isopropylmalate, via the formation of 2-isopropylmaleate (By similarity)	1.6e-139
-71	COG_FUNCTION	COG0066	3-isopropylmalate dehydratase small subunit	0
-71	COG_CATEGORY		E	0
-71	GO_TERMS		GO:0003674, GO:0003824, GO:0003861, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006082, GO:0006520, GO:0006551, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009098, GO:0009316, GO:0009987, GO:0016053, GO:0016829, GO:0016835, GO:0016836, GO:0016853, GO:0016866, GO:0019752, GO:0032991, GO:0043234, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044445, GO:0044464, GO:0044710, GO:0044711, GO:0046394, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-71	KEGG_PATHWAYS		map00290, map00660, map01100, map01110, map01210, map01230	0
-72	EGGNOG_BACT	199310.c0089	Catalyzes the isomerization between 2-isopropylmalate and 3-isopropylmalate, via the formation of 2-isopropylmaleate (By similarity)	0
-72	COG_FUNCTION	COG0065	Homoaconitase/3-isopropylmalate dehydratase large subunit	0
-72	COG_CATEGORY		E	0
-72	GO_TERMS		GO:0003674, GO:0003824, GO:0003861, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006082, GO:0006520, GO:0006551, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009098, GO:0009316, GO:0009987, GO:0016053, GO:0016829, GO:0016835, GO:0016836, GO:0016853, GO:0016866, GO:0019752, GO:0032991, GO:0043234, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044445, GO:0044464, GO:0044710, GO:0044711, GO:0046394, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-72	KEGG_PATHWAYS		map00290, map00660, map01100, map01110, map01210, map01230	0
-73	EGGNOG_BACT	316407.21321955	Catalyzes the oxidation of 3-carboxy-2-hydroxy-4- methylpentanoate (3-isopropylmalate) to 3-carboxy-4-methyl-2- oxopentanoate. The product decarboxylates to 4-methyl-2 oxopentanoate (By similarity)	4.3e-249
-73	COG_FUNCTION	COG0473	Isocitrate/isopropylmalate dehydrogenase	0
-73	COG_CATEGORY		E	0
-73	GO_TERMS		GO:0003674, GO:0003824, GO:0003862, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006520, GO:0006551, GO:0006807, GO:0006950, GO:0007154, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009098, GO:0009267, GO:0009605, GO:0009987, GO:0009991, GO:0016053, GO:0016491, GO:0016614, GO:0016616, GO:0019752, GO:0031667, GO:0031668, GO:0031669, GO:0033554, GO:0034198, GO:0042594, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044711, GO:0044763, GO:0046394, GO:0050896, GO:0051716, GO:0055114, GO:0071496, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-73	KEGG_PATHWAYS		map00290, map01100, map01110, map01210, map01230	0
-74	EGGNOG_BACT	316407.85674317	Catalyzes the condensation of the acetyl group of acetyl-CoA with 3-methyl-2-oxobutanoate (2-oxoisovalerate) to form 3-carboxy-3-hydroxy-4-methylpentanoate (2-isopropylmalate) (By similarity)	0
-74	COG_FUNCTION	COG0119	Isopropylmalate/homocitrate/citramalate synthases	0
-74	COG_CATEGORY		E	0
-74	GO_TERMS		GO:0003674, GO:0003824, GO:0003852, GO:0003985, GO:0003988, GO:0006082, GO:0006520, GO:0006551, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009098, GO:0009987, GO:0016053, GO:0016407, GO:0016408, GO:0016453, GO:0016740, GO:0016746, GO:0016747, GO:0019752, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0046912, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-74	KEGG_PATHWAYS		map00290, map00620, map01100, map01110, map01210, map01230	0
-75	EGGNOG_BACT	316407.85674318	transcriptional regulator, lysR family	4.9e-215
-75	COG_CATEGORY		K	0
-75	GO_TERMS		GO:0001071, GO:0003674, GO:0003700, GO:0006355, GO:0008150, GO:0009889, GO:0010468, GO:0010556, GO:0019219, GO:0019222, GO:0031323, GO:0031326, GO:0050789, GO:0050794, GO:0051171, GO:0051252, GO:0060255, GO:0065007, GO:0080090, GO:2000112, GO:2001141	0
-76	EGGNOG_BACT	469008.B21_00078	acetolactate synthase	0
-76	COG_FUNCTION	COG0028	Acetolactate synthase large subunit or other thiamine pyrophosphate-requiring enzyme	0
-76	COG_CATEGORY		E	0
-76	GO_TERMS		GO:0003674, GO:0003824, GO:0003984, GO:0006082, GO:0006520, GO:0006549, GO:0006573, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009097, GO:0009099, GO:0009987, GO:0016053, GO:0016740, GO:0016744, GO:0019752, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0051186, GO:0051188, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-76	KEGG_PATHWAYS		map00290, map00650, map00660, map00770, map01100, map01110, map01210, map01230	0
-77	EGGNOG_BACT	316407.85674320	Acetolactate synthase small subunit	1.2e-101
-77	COG_FUNCTION	COG0440	Acetolactate synthase, small subunit	0
-77	COG_CATEGORY		E	0
-77	GO_TERMS		GO:0003674, GO:0003824, GO:0003984, GO:0006082, GO:0006520, GO:0006549, GO:0006551, GO:0006573, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009097, GO:0009098, GO:0009099, GO:0009987, GO:0016053, GO:0016740, GO:0016744, GO:0019752, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0051186, GO:0051188, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-77	KEGG_PATHWAYS		map00290, map00650, map00660, map00770, map01100, map01110, map01210, map01230	0
-78	EGGNOG_BACT	155864.Z0090	DNA-binding transcriptional regulator FruR	3.9e-227
-78	COG_FUNCTION	COG1609	DNA-binding transcriptional regulator, LacI/PurR family	0
-78	COG_CATEGORY		K	0
-78	GO_TERMS		GO:0001071, GO:0003674, GO:0003676, GO:0003677, GO:0003700, GO:0005488, GO:0005975, GO:0005996, GO:0006006, GO:0006007, GO:0006091, GO:0006096, GO:0006355, GO:0006810, GO:0008150, GO:0008152, GO:0009056, GO:0009889, GO:0009987, GO:0010468, GO:0010556, GO:0016052, GO:0019219, GO:0019222, GO:0019318, GO:0019320, GO:0031323, GO:0031326, GO:0044237, GO:0044238, GO:0044248, GO:0044723, GO:0044724, GO:0046365, GO:0050789, GO:0050794, GO:0051171, GO:0051179, GO:0051234, GO:0051252, GO:0060255, GO:0065007, GO:0071704, GO:0080090, GO:0097159, GO:1901363, GO:1901575, GO:2000112, GO:2001141	0
-79	EGGNOG_BACT	155864.Z0091	Cell division protein mraZ	1.1e-102
-79	COG_FUNCTION	COG2001	MraZ, DNA-binding transcriptional regulator and inhibitor of RsmH methyltransferase activity	0
-79	COG_CATEGORY		S	0
-79	GO_TERMS		GO:0008150, GO:0040007	0
-80	EGGNOG_BACT	155864.Z0092	Specifically methylates the N4 position of cytidine in position 1402 (C1402) of 16S rRNA (By similarity)	5.9e-208
-80	COG_FUNCTION	COG0275	16S rRNA C1402 N4-methylase RsmH	0
-80	COG_CATEGORY		M	0
-80	GO_TERMS		GO:0000154, GO:0001510, GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005886, GO:0006139, GO:0006364, GO:0006396, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0008168, GO:0008170, GO:0008173, GO:0008649, GO:0008757, GO:0009451, GO:0009987, GO:0010467, GO:0016020, GO:0016070, GO:0016072, GO:0016434, GO:0016740, GO:0016741, GO:0022613, GO:0031167, GO:0032259, GO:0034470, GO:0034641, GO:0034660, GO:0040007, GO:0042254, GO:0043170, GO:0043412, GO:0043414, GO:0044085, GO:0044237, GO:0044238, GO:0044260, GO:0044424, GO:0044464, GO:0046483, GO:0070475, GO:0071424, GO:0071704, GO:0071840, GO:0071944, GO:0090304, GO:1901360	0
-81	EGGNOG_BACT	155864.Z0093	Essential cell division protein. May link together the upstream cell division proteins, which are predominantly cytoplasmic, with the downstream cell division proteins, which are predominantly periplasmic (By similarity)	1.7e-79
-81	COG_FUNCTION	COG3116	Cell division protein FtsL, interacts with FtsB, FtsL and FtsQ	0
-81	COG_CATEGORY		D	0
-81	GO_TERMS		GO:0000003, GO:0000910, GO:0005575, GO:0005623, GO:0005886, GO:0005887, GO:0007049, GO:0008150, GO:0009987, GO:0016020, GO:0016021, GO:0019954, GO:0022402, GO:0031224, GO:0031226, GO:0032153, GO:0032155, GO:0032505, GO:0043093, GO:0044425, GO:0044459, GO:0044464, GO:0044699, GO:0044763, GO:0051301, GO:0071944	0
-82	EGGNOG_BACT	155864.Z0094	peptidoglycan synthetase ftsI	0
-82	COG_FUNCTION	COG0768	Cell division protein FtsI/penicillin-binding protein 2	0
-82	COG_CATEGORY		M	0
-82	GO_TERMS		GO:0000003, GO:0000270, GO:0000910, GO:0003674, GO:0003824, GO:0005488, GO:0005575, GO:0005576, GO:0005618, GO:0005623, GO:0005886, GO:0005887, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0007049, GO:0008144, GO:0008150, GO:0008152, GO:0008658, GO:0008955, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009274, GO:0009276, GO:0009987, GO:0016020, GO:0016021, GO:0016740, GO:0016757, GO:0016758, GO:0019954, GO:0022402, GO:0030203, GO:0030312, GO:0030313, GO:0031224, GO:0031226, GO:0031406, GO:0031975, GO:0032153, GO:0032155, GO:0032505, GO:0033218, GO:0033293, GO:0034645, GO:0040007, GO:0042221, GO:0042493, GO:0042546, GO:0043093, GO:0043167, GO:0043168, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044425, GO:0044459, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0050896, GO:0051301, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:0071944, GO:0097159, GO:1901135, GO:1901137, GO:1901363, GO:1901564, GO:1901566, GO:1901576, GO:1901681	0
-82	KEGG_PATHWAYS		map00550, map01100	0
-83	EGGNOG_BACT	469008.B21_00085	Catalyzes the addition of meso-diaminopimelic acid to the nucleotide precursor UDP-N-acetylmuramoyl-L-alanyl-D-glutamate (UMAG) in the biosynthesis of bacterial cell-wall peptidoglycan (By similarity)	0
-83	COG_FUNCTION	COG0769	UDP-N-acetylmuramyl tripeptide synthase	0
-83	COG_CATEGORY		M	0
-83	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008765, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016874, GO:0016879, GO:0016881, GO:0030203, GO:0034645, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0047482, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-83	KEGG_PATHWAYS		map00300, map00550, map01100	0
-84	EGGNOG_BACT	469008.B21_00086	Involved in cell wall formation. Catalyzes the final step in the synthesis of UDP-N-acetylmuramoyl-pentapeptide, the precursor of murein (By similarity)	3.8e-297
-84	COG_FUNCTION	COG0770	UDP-N-acetylmuramyl pentapeptide synthase	0
-84	COG_CATEGORY		M	0
-84	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005618, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009274, GO:0009276, GO:0009987, GO:0016874, GO:0016879, GO:0016881, GO:0030203, GO:0030312, GO:0030313, GO:0031975, GO:0034645, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0047480, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:0071944, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-84	KEGG_PATHWAYS		map00300, map00550, map01100	0
-85	EGGNOG_BACT	198214.SF0084	First step of the lipid cycle reactions in the biosynthesis of the cell wall peptidoglycan (By similarity)	6.1e-240
-85	COG_FUNCTION	COG0472	UDP-N-acetylmuramyl pentapeptide phosphotransferase/UDP-N-acetylglucosamine-1-phosphate transferase	0
-85	COG_CATEGORY		M	0
-85	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005623, GO:0005886, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008963, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016020, GO:0016740, GO:0016772, GO:0016780, GO:0030203, GO:0034645, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:0071944, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-85	KEGG_PATHWAYS		map00550, map01100	0
-86	EGGNOG_BACT	316385.ECDH10B_0070	Cell wall formation. Catalyzes the addition of glutamate to the nucleotide precursor UDP-N-acetylmuramoyl-L-alanine (UMA) (By similarity)	1.8e-296
-86	COG_FUNCTION	COG0771	UDP-N-acetylmuramoylalanine-D-glutamate ligase	0
-86	COG_CATEGORY		M	0
-86	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008764, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016874, GO:0016879, GO:0016881, GO:0030203, GO:0034645, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-86	KEGG_PATHWAYS		map00471, map00550, map01100	0
-87	EGGNOG_BACT	199310.c0107	Essential cell division protein. Transports lipid-linked peptidoglycan precursors from the inner to the outer leaflet of the cytoplasmic membrane (By similarity)	4.1e-271
-87	COG_FUNCTION	COG0772	Bacterial cell division protein FtsW, lipid II flippase	0
-87	COG_CATEGORY		D	0
-87	GO_TERMS		GO:0000003, GO:0000910, GO:0003674, GO:0005215, GO:0005575, GO:0005623, GO:0005886, GO:0005887, GO:0006810, GO:0007049, GO:0008150, GO:0008360, GO:0009987, GO:0015647, GO:0015648, GO:0015835, GO:0015836, GO:0016020, GO:0016021, GO:0019954, GO:0022402, GO:0022603, GO:0022604, GO:0022892, GO:0031224, GO:0031226, GO:0032153, GO:0032155, GO:0032505, GO:0043093, GO:0044425, GO:0044459, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0050789, GO:0050793, GO:0050794, GO:0051128, GO:0051179, GO:0051234, GO:0051301, GO:0065007, GO:0065008, GO:0071702, GO:0071705, GO:0071944, GO:1901264, GO:1901505	0
-87	KEGG_PATHWAYS		map04112	0
-88	EGGNOG_BACT	316385.ECDH10B_0072	Cell wall formation. Catalyzes the transfer of a GlcNAc subunit on undecaprenyl-pyrophosphoryl-MurNAc-pentapeptide (lipid intermediate I) to form undecaprenyl-pyrophosphoryl-MurNAc- (pentapeptide)GlcNAc (lipid intermediate II) (By similarity)	4.2e-237
-88	COG_FUNCTION	COG0707	UDP-N-acetylglucosamine:LPS N-acetylglucosamine transferase	0
-88	COG_CATEGORY		M	0
-88	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005623, GO:0005886, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008194, GO:0008375, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016020, GO:0016740, GO:0016757, GO:0016758, GO:0030203, GO:0034645, GO:0040007, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0050511, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:0071944, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-88	KEGG_PATHWAYS		map00550, map01100, map04112	0
-89	EGGNOG_BACT	155864.Z0101	Cell wall formation (By similarity)	0
-89	COG_FUNCTION	COG0773	UDP-N-acetylmuramate-alanine ligase	0
-89	COG_CATEGORY		M	0
-89	GO_TERMS		GO:0000166, GO:0000270, GO:0000287, GO:0001882, GO:0001883, GO:0003674, GO:0003824, GO:0005488, GO:0005524, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008763, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016874, GO:0016879, GO:0016881, GO:0017076, GO:0030203, GO:0030554, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032559, GO:0034645, GO:0035639, GO:0036094, GO:0040007, GO:0042546, GO:0043167, GO:0043168, GO:0043169, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0046872, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:0097159, GO:1901135, GO:1901137, GO:1901265, GO:1901363, GO:1901564, GO:1901566, GO:1901576	0
-89	KEGG_PATHWAYS		map00471, map00473, map00550, map01100	0
-90	EGGNOG_BACT	469008.B21_00092	Cell wall formation (By similarity)	2.2e-202
-90	COG_FUNCTION	COG1181	D-alanine-D-alanine ligase and related ATP-grasp enzymes	0
-90	COG_CATEGORY		M	0
-90	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008716, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016874, GO:0016879, GO:0016881, GO:0030203, GO:0034645, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-90	KEGG_PATHWAYS		map00473, map00550, map01100	0
-91	EGGNOG_BACT	155864.Z0103	Essential cell division protein. May link together the upstream cell division proteins, which are predominantly cytoplasmic, with the downstream cell division proteins, which are predominantly periplasmic. May control correct divisome assembly (By similarity)	7.7e-187
-91	COG_FUNCTION	COG1589	Cell division septal protein FtsQ	0
-91	COG_CATEGORY		M	0
-91	GO_TERMS		GO:0000003, GO:0000910, GO:0000917, GO:0005575, GO:0005623, GO:0005886, GO:0005887, GO:0007049, GO:0008150, GO:0009987, GO:0016020, GO:0016021, GO:0016043, GO:0019954, GO:0022402, GO:0022607, GO:0031224, GO:0031226, GO:0032153, GO:0032155, GO:0032505, GO:0032506, GO:0043093, GO:0044085, GO:0044425, GO:0044459, GO:0044464, GO:0044699, GO:0044763, GO:0051301, GO:0071840, GO:0071944, GO:0090529	0
-91	KEGG_PATHWAYS		map04112	0
-92	EGGNOG_BACT	155864.Z0104	This protein may be involved in anomalous filament growth. May be a component of the septum (By similarity)	4.4e-281
-92	COG_FUNCTION	COG0849	Cell division ATPase FtsA	0
-92	COG_CATEGORY		D	0
-92	GO_TERMS		GO:0000166, GO:0000910, GO:0001882, GO:0001883, GO:0003674, GO:0005488, GO:0005515, GO:0005524, GO:0005575, GO:0005623, GO:0005886, GO:0007049, GO:0008150, GO:0009898, GO:0009987, GO:0016020, GO:0017076, GO:0022402, GO:0030554, GO:0032153, GO:0032155, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032559, GO:0035639, GO:0036094, GO:0042802, GO:0043167, GO:0043168, GO:0044425, GO:0044459, GO:0044464, GO:0044699, GO:0044763, GO:0051301, GO:0071944, GO:0097159, GO:1901265, GO:1901363	0
-92	KEGG_PATHWAYS		map04112	0
-93	EGGNOG_BACT	155864.Z0105	Essential cell division protein that forms a contractile ring structure (Z ring) at the future cell division site. The regulation of the ring assembly controls the timing and the location of cell division. One of the functions of the FtsZ ring is to recruit other cell division proteins to the septum to produce a new cell wall between the dividing cells. Binds GTP and shows GTPase activity (By similarity)	2.7e-247
-93	COG_FUNCTION	COG0206	Cell division GTPase FtsZ	0
-93	COG_CATEGORY		D	0
-93	GO_TERMS		GO:0000166, GO:0000287, GO:0000910, GO:0000917, GO:0001882, GO:0001883, GO:0003674, GO:0003824, GO:0003924, GO:0005488, GO:0005525, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005886, GO:0006139, GO:0006152, GO:0006163, GO:0006184, GO:0006195, GO:0006461, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0007049, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009164, GO:0009166, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009987, GO:0016020, GO:0016043, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0017076, GO:0017111, GO:0019001, GO:0019439, GO:0019637, GO:0019693, GO:0022402, GO:0022607, GO:0032153, GO:0032155, GO:0032506, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032561, GO:0034622, GO:0034641, GO:0034655, GO:0035639, GO:0036094, GO:0040007, GO:0042278, GO:0042454, GO:0043167, GO:0043168, GO:0043169, GO:0043623, GO:0043933, GO:0044085, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0046039, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0046872, GO:0051258, GO:0051301, GO:0055086, GO:0065003, GO:0070271, GO:0071704, GO:0071822, GO:0071840, GO:0071944, GO:0072521, GO:0072523, GO:0090529, GO:0097159, GO:1901068, GO:1901069, GO:1901135, GO:1901136, GO:1901265, GO:1901292, GO:1901360, GO:1901361, GO:1901363, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658	0
-93	KEGG_PATHWAYS		map04112	0
-94	EGGNOG_BACT	155864.Z0106	involved in the biosynthesis of lipid A, a phosphorylated glycolipid that anchors the lipopolysaccharide to the outer membrane of the cell (By similarity)	2.5e-210
-94	COG_FUNCTION	COG0774	UDP-3-O-acyl-N-acetylglucosamine deacetylase	0
-94	COG_CATEGORY		M	0
-94	GO_TERMS		GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005975, GO:0006629, GO:0006643, GO:0006644, GO:0006664, GO:0006793, GO:0006796, GO:0008150, GO:0008152, GO:0008610, GO:0008654, GO:0008759, GO:0009058, GO:0009245, GO:0009247, GO:0009311, GO:0009312, GO:0009987, GO:0016051, GO:0016787, GO:0016810, GO:0016811, GO:0019213, GO:0019637, GO:0044237, GO:0044238, GO:0044249, GO:0044255, GO:0044424, GO:0044464, GO:0044710, GO:0044723, GO:0046467, GO:0046493, GO:0071704, GO:0090407, GO:1901135, GO:1901137, GO:1901269, GO:1901271, GO:1901576	0
-94	KEGG_PATHWAYS		map00061, map00540, map01100	0
-95	EGGNOG_BACT	198214.SF0094	Regulates secA expression by translational coupling of the secM secA operon. Translational pausing at a specific Pro residue 5 residues before the end of the protein may allow disruption of a mRNA repressor helix that normally suppresses secA translation initiation (By similarity)	1.7e-135
-95	COG_CATEGORY		K	0
-95	GO_TERMS		GO:0003674, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006417, GO:0008150, GO:0009889, GO:0010468, GO:0010556, GO:0010608, GO:0019222, GO:0031323, GO:0031326, GO:0032268, GO:0042597, GO:0044424, GO:0044444, GO:0044464, GO:0045182, GO:0050789, GO:0050794, GO:0051246, GO:0060255, GO:0065007, GO:0080090, GO:2000112	0
-95	KEGG_PATHWAYS		map03060, map03070	0
-96	EGGNOG_BACT	316385.ECDH10B_0080	Part of the Sec protein translocase complex. Interacts with the SecYEG preprotein conducting channel. Has a central role in coupling the hydrolysis of ATP to the transfer of proteins into and across the cell membrane, serving both as a receptor for the preprotein-SecB complex and as an ATP-driven molecular motor driving the stepwise translocation of polypeptide chains across the membrane (By similarity)	0
-96	COG_FUNCTION	COG0653	Preprotein translocase subunit SecA (ATPase, RNA helicase)	0
-96	COG_CATEGORY		U	0
-96	GO_TERMS		GO:0000166, GO:0001882, GO:0001883, GO:0003674, GO:0003824, GO:0005488, GO:0005524, GO:0005575, GO:0005576, GO:0005618, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0005886, GO:0006139, GO:0006152, GO:0006163, GO:0006195, GO:0006200, GO:0006605, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0006810, GO:0006886, GO:0006950, GO:0006952, GO:0008104, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009123, GO:0009125, GO:0009126, GO:0009128, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009158, GO:0009161, GO:0009164, GO:0009166, GO:0009167, GO:0009169, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009306, GO:0009579, GO:0009607, GO:0009987, GO:0015031, GO:0016020, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0016887, GO:0017076, GO:0017111, GO:0019439, GO:0019637, GO:0019693, GO:0020012, GO:0030312, GO:0030554, GO:0030682, GO:0031522, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032559, GO:0032940, GO:0032991, GO:0033036, GO:0034357, GO:0034613, GO:0034641, GO:0034655, GO:0035639, GO:0036094, GO:0040007, GO:0042278, GO:0042454, GO:0042651, GO:0043167, GO:0043168, GO:0043234, GO:0043952, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044403, GO:0044413, GO:0044415, GO:0044419, GO:0044424, GO:0044436, GO:0044444, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0044765, GO:0045184, GO:0046034, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0046903, GO:0046907, GO:0050896, GO:0051179, GO:0051234, GO:0051641, GO:0051649, GO:0051701, GO:0051704, GO:0051707, GO:0051805, GO:0051807, GO:0051832, GO:0051834, GO:0052059, GO:0052173, GO:0052200, GO:0052385, GO:0052550, GO:0052564, GO:0052567, GO:0052572, GO:0055085, GO:0055086, GO:0065002, GO:0070727, GO:0071702, GO:0071704, GO:0071806, GO:0071944, GO:0072521, GO:0072523, GO:0075136, GO:0097159, GO:1901135, GO:1901136, GO:1901265, GO:1901292, GO:1901360, GO:1901361, GO:1901363, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658	0
-96	KEGG_PATHWAYS		map03060, map03070	0
-97	EGGNOG_BACT	316385.ECDH10B_0081	mutator MutT protein	2.1e-89
-97	COG_FUNCTION	COG0494	8-oxo-dGTP pyrophosphatase MutT and related house-cleaning NTP pyrophosphohydrolases, NUDIX family	0
-97	COG_CATEGORY		L	0
-97	GO_TERMS		GO:0000287, GO:0003674, GO:0003824, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006139, GO:0006259, GO:0006281, GO:0006725, GO:0006807, GO:0006950, GO:0006974, GO:0008150, GO:0008152, GO:0008413, GO:0009987, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0030145, GO:0033554, GO:0034641, GO:0043167, GO:0043169, GO:0043170, GO:0044237, GO:0044238, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044763, GO:0046483, GO:0046872, GO:0046914, GO:0047429, GO:0050896, GO:0051716, GO:0071704, GO:0090304, GO:1901360	0
-98	EGGNOG_BACT	155864.Z0111	Inhibits all the catalytic activities of DNA gyrase by preventing its interaction with DNA. Acts by binding directly to the C-terminal domain of GyrB, which probably disrupts DNA binding by the gyrase (By similarity)	1.2e-45
-98	COG_FUNCTION	COG3024	Endogenous inhibitor of DNA gyrase, YacG/DUF329 family	0
-98	COG_CATEGORY		S	0
-98	GO_TERMS		GO:0003674, GO:0004857, GO:0005488, GO:0006140, GO:0008150, GO:0008270, GO:0008657, GO:0009118, GO:0009894, GO:0010911, GO:0019219, GO:0019220, GO:0019222, GO:0030234, GO:0030811, GO:0031323, GO:0031329, GO:0032780, GO:0033121, GO:0042030, GO:0043086, GO:0043167, GO:0043169, GO:0043462, GO:0044092, GO:0046872, GO:0046914, GO:0050789, GO:0050790, GO:0050794, GO:0051171, GO:0051174, GO:0051336, GO:0051346, GO:0060589, GO:0060590, GO:0065007, GO:0065009, GO:0072586, GO:0080090, GO:1900542, GO:2000371, GO:2000372	0
-99	EGGNOG_BACT	316385.ECDH10B_0083	Cell division factor that enhances FtsZ-ring assembly. Directly interacts with FtsZ and promotes bundling of FtsZ protofilaments, with a reduction in FtsZ GTPase activity (By similarity)	3.1e-168
-99	COG_FUNCTION	COG4582	Cell division protein ZapD, interacts with FtsZ	0
-99	COG_CATEGORY		S	0
-99	GO_TERMS		GO:0000003, GO:0000910, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0007049, GO:0008150, GO:0009987, GO:0019954, GO:0022402, GO:0032153, GO:0032505, GO:0043093, GO:0044424, GO:0044464, GO:0044699, GO:0044763, GO:0051301	0
-100	EGGNOG_BACT	155864.Z0113	Catalyzes the phosphorylation of the 3'-hydroxyl group of dephosphocoenzyme A to form coenzyme A (By similarity)	3e-134
-100	COG_FUNCTION	COG0237	Dephospho-CoA kinase	0
-100	COG_CATEGORY		H	0
-100	GO_TERMS		GO:0000166, GO:0001882, GO:0001884, GO:0002135, GO:0003674, GO:0003824, GO:0004140, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006139, GO:0006163, GO:0006164, GO:0006725, GO:0006732, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0009058, GO:0009108, GO:0009116, GO:0009117, GO:0009119, GO:0009150, GO:0009152, GO:0009163, GO:0009165, GO:0009259, GO:0009260, GO:0009987, GO:0015936, GO:0015937, GO:0016301, GO:0016310, GO:0016740, GO:0016772, GO:0016773, GO:0017076, GO:0018130, GO:0019103, GO:0019438, GO:0019637, GO:0019693, GO:0030554, GO:0032549, GO:0032551, GO:0032552, GO:0032553, GO:0032554, GO:0032557, GO:0032558, GO:0032564, GO:0033865, GO:0033866, GO:0033875, GO:0034030, GO:0034032, GO:0034033, GO:0034641, GO:0034654, GO:0036094, GO:0040007, GO:0042278, GO:0042451, GO:0042455, GO:0043167, GO:0043168, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0046128, GO:0046129, GO:0046390, GO:0046483, GO:0051186, GO:0051188, GO:0055086, GO:0071704, GO:0072521, GO:0072522, GO:0090407, GO:0097159, GO:1901135, GO:1901137, GO:1901265, GO:1901293, GO:1901360, GO:1901362, GO:1901363, GO:1901564, GO:1901566, GO:1901576, GO:1901657, GO:1901659	0
-100	KEGG_PATHWAYS		map00770, map01100	0
-101	EGGNOG_BACT	469008.B21_00103	Catalyzes the conversion of inosine 5'-phosphate (IMP) to xanthosine 5'-phosphate (XMP), the first committed and rate- limiting step in the de novo synthesis of guanine nucleotides, and therefore plays an important role in the regulation of cell growth (By similarity)	5e-236
-101	COG_FUNCTION	COG0516	IMP dehydrogenase/GMP reductase	0
-101	COG_CATEGORY		F	0
-101	GO_TERMS		GO:0003674, GO:0003824, GO:0003920, GO:0005488, GO:0005515, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006139, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0009987, GO:0015949, GO:0016491, GO:0016651, GO:0016657, GO:0034641, GO:0042802, GO:0044237, GO:0044238, GO:0044281, GO:0044424, GO:0044464, GO:0044710, GO:0046483, GO:0055086, GO:0055114, GO:0071704, GO:1901360	0
-101	KEGG_PATHWAYS		map00230, map00983, map01100, map01110	0
-102	EGGNOG_BACT	316385.ECDH10B_0086	type IV pilin biogenesis protein	2.4e-267
-102	COG_FUNCTION	COG1459	Type II secretory pathway, component PulF	0
-102	COG_CATEGORY		U	0
-102	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0006810, GO:0008104, GO:0008150, GO:0009297, GO:0009306, GO:0009987, GO:0015031, GO:0015628, GO:0016020, GO:0016043, GO:0022607, GO:0030030, GO:0030031, GO:0030255, GO:0032940, GO:0033036, GO:0043711, GO:0044085, GO:0044097, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0045184, GO:0046903, GO:0051179, GO:0051234, GO:0051641, GO:0051649, GO:0055085, GO:0071702, GO:0071806, GO:0071840, GO:0071944	0
-102	KEGG_PATHWAYS		map03070	0
-103	EGGNOG_BACT	316385.ECDH10B_0087	pathway protein e	0
-103	COG_FUNCTION	COG2804	Type II secretory pathway ATPase GspE/PulE or T4P pilus assembly pathway ATPase PilB	0
-103	COG_CATEGORY		U	0
-103	GO_TERMS		GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006276, GO:0006810, GO:0008104, GO:0008150, GO:0009297, GO:0009306, GO:0009987, GO:0015031, GO:0015628, GO:0016043, GO:0022607, GO:0030030, GO:0030031, GO:0032940, GO:0033036, GO:0043711, GO:0044085, GO:0044424, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0045184, GO:0046903, GO:0051179, GO:0051234, GO:0051641, GO:0051649, GO:0055085, GO:0071702, GO:0071806, GO:0071840	0
-103	KEGG_PATHWAYS		map03070	0
-104	EGGNOG_BACT	316385.ECDH10B_0088	Major pilin subunit	2.4e-99
-104	COG_FUNCTION	COG4969	Tfp pilus assembly protein, major pilin PilA	0
-104	COG_CATEGORY		U	0
-104	GO_TERMS		GO:0003674, GO:0005198, GO:0005575, GO:0005623, GO:0008150, GO:0009289, GO:0009987, GO:0016043, GO:0030030, GO:0042995, GO:0044464, GO:0044699, GO:0044763, GO:0071840	0
-104	KEGG_PATHWAYS		map02020	0
-105	EGGNOG_BACT	316385.ECDH10B_0089	nicotinate-nucleotide pyrophosphorylase	4.9e-198
-105	COG_FUNCTION	COG0157	Nicotinate-nucleotide pyrophosphorylase	0
-105	COG_CATEGORY		H	0
-105	GO_TERMS		GO:0003674, GO:0003824, GO:0004514, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006139, GO:0006520, GO:0006531, GO:0006725, GO:0006732, GO:0006733, GO:0006734, GO:0006739, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0009058, GO:0009066, GO:0009108, GO:0009117, GO:0009165, GO:0009435, GO:0009987, GO:0016740, GO:0016757, GO:0016763, GO:0018130, GO:0019355, GO:0019359, GO:0019362, GO:0019363, GO:0019438, GO:0019637, GO:0019674, GO:0019752, GO:0034627, GO:0034628, GO:0034641, GO:0034654, GO:0043436, GO:0043648, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044424, GO:0044464, GO:0044710, GO:0046483, GO:0046496, GO:0051186, GO:0051188, GO:0055086, GO:0071704, GO:0072524, GO:0072525, GO:0090407, GO:1901293, GO:1901360, GO:1901362, GO:1901564, GO:1901566, GO:1901576, GO:1901605	0
-105	KEGG_PATHWAYS		map00760, map01100	0
-106	EGGNOG_BACT	316385.ECDH10B_0090	N-Acetylmuramoyl-L-alanine amidase	4.6e-132
-106	COG_FUNCTION	COG3023	N-acetyl-anhydromuramyl-L-alanine amidase AmpD	0
-106	COG_CATEGORY		M	0
-106	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005488, GO:0005575, GO:0005618, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006026, GO:0006027, GO:0006807, GO:0008150, GO:0008152, GO:0008270, GO:0008745, GO:0009056, GO:0009057, GO:0009253, GO:0009254, GO:0009274, GO:0009276, GO:0009279, GO:0009392, GO:0016020, GO:0016787, GO:0016810, GO:0016811, GO:0019867, GO:0030203, GO:0030312, GO:0030313, GO:0031975, GO:0043167, GO:0043169, GO:0043170, GO:0044424, GO:0044462, GO:0044464, GO:0046872, GO:0046914, GO:0071704, GO:0071944, GO:1901135, GO:1901136, GO:1901564, GO:1901565, GO:1901575	0
-107	EGGNOG_BACT	198214.SF0108	regulatory protein AmpE	9.5e-194
-107	COG_FUNCTION	COG3725	Membrane protein required for beta-lactamase induction	0
-107	COG_CATEGORY		V	0
-107	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0016020, GO:0044464, GO:0071944	0
-108	EGGNOG_BACT	665029.EAMY_2839	amino acid	3.4e-266
-108	COG_FUNCTION	COG1113	L-asparagine transporter and related permeases	0
-108	COG_CATEGORY		E	0
-109	EGGNOG_BACT	155864.Z0123	transcriptional regulator	1e-162
-109	COG_FUNCTION	COG2186	DNA-binding transcriptional regulator, FadR family	0
-109	COG_CATEGORY		K	0
-109	GO_TERMS		GO:0001071, GO:0003674, GO:0003700, GO:0006355, GO:0008150, GO:0009889, GO:0009890, GO:0009891, GO:0009892, GO:0009893, GO:0010468, GO:0010556, GO:0010557, GO:0010558, GO:0010604, GO:0010605, GO:0010628, GO:0010629, GO:0019219, GO:0019222, GO:0031323, GO:0031324, GO:0031325, GO:0031326, GO:0031327, GO:0031328, GO:0045892, GO:0045893, GO:0045934, GO:0045935, GO:0048518, GO:0048519, GO:0048522, GO:0048523, GO:0050789, GO:0050794, GO:0051171, GO:0051172, GO:0051173, GO:0051252, GO:0051253, GO:0051254, GO:0060255, GO:0065007, GO:0080090, GO:2000112, GO:2000113, GO:2001141	0
-110	EGGNOG_BACT	469008.B21_00112	Component of the pyruvate dehydrogenase (PDH) complex, that catalyzes the overall conversion of pyruvate to acetyl-CoA and CO(2) (By similarity)	0
-110	COG_FUNCTION	COG2609	Pyruvate dehydrogenase complex, dehydrogenase (E1) component	0
-110	COG_CATEGORY		C	0
-110	GO_TERMS		GO:0003674, GO:0003824, GO:0004738, GO:0004739, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006082, GO:0006084, GO:0006085, GO:0006086, GO:0006090, GO:0006637, GO:0006732, GO:0006793, GO:0008150, GO:0008152, GO:0009058, GO:0009108, GO:0009987, GO:0016020, GO:0016491, GO:0016624, GO:0016903, GO:0019752, GO:0032787, GO:0032991, GO:0035383, GO:0035384, GO:0043234, GO:0043436, GO:0044237, GO:0044249, GO:0044281, GO:0044424, GO:0044444, GO:0044445, GO:0044464, GO:0044710, GO:0045250, GO:0045254, GO:0051186, GO:0051188, GO:0055114, GO:0071616, GO:0071704, GO:1901576	0
-110	KEGG_PATHWAYS		map00010, map00020, map00620, map00650, map01100, map01110, map01120	0
-111	EGGNOG_BACT	316385.ECDH10B_0095	dihydrolipoamide acetyltransferase	0
-111	COG_FUNCTION	COG0508	Pyruvate/2-oxoglutarate dehydrogenase complex, dihydrolipoamide acyltransferase (E2) component	0
-111	COG_CATEGORY		C	0
-111	GO_TERMS		GO:0003674, GO:0003824, GO:0004742, GO:0005488, GO:0005504, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006082, GO:0006084, GO:0006085, GO:0006086, GO:0006090, GO:0006637, GO:0006732, GO:0006793, GO:0008150, GO:0008152, GO:0008289, GO:0009058, GO:0009108, GO:0009987, GO:0016407, GO:0016417, GO:0016418, GO:0016740, GO:0016746, GO:0016747, GO:0019752, GO:0030523, GO:0031405, GO:0031406, GO:0032787, GO:0032991, GO:0033293, GO:0035383, GO:0035384, GO:0043167, GO:0043168, GO:0043234, GO:0043436, GO:0044237, GO:0044249, GO:0044281, GO:0044424, GO:0044444, GO:0044445, GO:0044464, GO:0044710, GO:0045250, GO:0045254, GO:0048037, GO:0050662, GO:0051186, GO:0051188, GO:0071616, GO:0071704, GO:0097159, GO:1901363, GO:1901576, GO:1901681	0
-111	KEGG_PATHWAYS		map00010, map00020, map00620, map01100, map01110, map01120	0
-112	EGGNOG_BACT	155864.Z0126	dihydrolipoyl dehydrogenase	0
-112	COG_FUNCTION	COG1249	Pyruvate/2-oxoglutarate dehydrogenase complex, dihydrolipoamide dehydrogenase (E3) component or related enzyme	0
-112	COG_CATEGORY		C	0
-112	GO_TERMS		GO:0000166, GO:0003674, GO:0003824, GO:0004148, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0005886, GO:0006082, GO:0006084, GO:0006085, GO:0006086, GO:0006090, GO:0006103, GO:0006520, GO:0006544, GO:0006546, GO:0006637, GO:0006732, GO:0006793, GO:0006807, GO:0008150, GO:0008152, GO:0008270, GO:0009056, GO:0009058, GO:0009063, GO:0009069, GO:0009071, GO:0009108, GO:0009987, GO:0015036, GO:0016020, GO:0016054, GO:0016491, GO:0016651, GO:0016667, GO:0016668, GO:0019464, GO:0019752, GO:0032787, GO:0032991, GO:0035383, GO:0035384, GO:0036094, GO:0043167, GO:0043168, GO:0043169, GO:0043234, GO:0043436, GO:0043648, GO:0044237, GO:0044238, GO:0044248, GO:0044249, GO:0044281, GO:0044282, GO:0044424, GO:0044444, GO:0044445, GO:0044464, GO:0044710, GO:0044712, GO:0045250, GO:0045254, GO:0046395, GO:0046872, GO:0046914, GO:0048037, GO:0050660, GO:0050662, GO:0051186, GO:0051188, GO:0055114, GO:0071616, GO:0071704, GO:0071944, GO:0097159, GO:1901265, GO:1901363, GO:1901564, GO:1901565, GO:1901575, GO:1901576, GO:1901605, GO:1901606	0
-112	KEGG_PATHWAYS		map00010, map00020, map00260, map00280, map00620, map01100, map01110, map01120	0
-113	EGGNOG_BACT	469008.B21_00115	exported protein	0
-113	COG_CATEGORY		S	0
-114	EGGNOG_BACT	316385.ECDH10B_0098	Aconitate hydratase 2	0
-114	COG_FUNCTION	COG1049	Aconitase B	0
-114	COG_CATEGORY		C	0
-114	GO_TERMS		GO:0003674, GO:0003676, GO:0003723, GO:0003729, GO:0003730, GO:0003824, GO:0003994, GO:0005488, GO:0005975, GO:0006081, GO:0006082, GO:0006091, GO:0006097, GO:0006099, GO:0006417, GO:0006629, GO:0006631, GO:0008150, GO:0008152, GO:0009056, GO:0009060, GO:0009062, GO:0009889, GO:0009987, GO:0010468, GO:0010556, GO:0010608, GO:0015980, GO:0016042, GO:0016054, GO:0016829, GO:0016835, GO:0016836, GO:0019222, GO:0019541, GO:0019543, GO:0019626, GO:0019629, GO:0019752, GO:0031323, GO:0031326, GO:0032268, GO:0032787, GO:0043436, GO:0044237, GO:0044238, GO:0044242, GO:0044248, GO:0044255, GO:0044262, GO:0044281, GO:0044282, GO:0044710, GO:0044712, GO:0045333, GO:0046395, GO:0046459, GO:0046487, GO:0047456, GO:0050789, GO:0050794, GO:0051246, GO:0051536, GO:0051539, GO:0051540, GO:0055114, GO:0060255, GO:0065007, GO:0071704, GO:0072329, GO:0080090, GO:0097159, GO:1901363, GO:1901575, GO:2000112	0
-114	KEGG_PATHWAYS		map00020, map00630, map00640, map00720, map01100, map01110, map01120, map01210, map01230	0
-115	EGGNOG_BACT	155864.Z0129	UPF0231 protein	1.1e-81
-115	COG_FUNCTION	COG3112	Uncharacterized protein YacL, UPF0231 family	0
-115	COG_CATEGORY		S	0
-116	EGGNOG_BACT	155864.Z0130	Catalyzes the decarboxylation of S-adenosylmethionine to S-adenosylmethioninamine (dcAdoMet), the propylamine donor required for the synthesis of the polyamines spermine and spermidine from the diamine putrescine (By similarity)	5.2e-185
-116	COG_FUNCTION	COG1586	S-adenosylmethionine decarboxylase or arginine decarboxylase	0
-116	COG_CATEGORY		E	0
-116	GO_TERMS		GO:0003674, GO:0003824, GO:0004014, GO:0006576, GO:0006595, GO:0006596, GO:0006807, GO:0008150, GO:0008152, GO:0008216, GO:0008295, GO:0009058, GO:0009308, GO:0009309, GO:0009987, GO:0016829, GO:0016830, GO:0016831, GO:0034641, GO:0042401, GO:0044106, GO:0044237, GO:0044249, GO:0044271, GO:0071704, GO:1901564, GO:1901566, GO:1901576	0
-116	KEGG_PATHWAYS		map00270, map00330, map01100	0
-117	EGGNOG_BACT	675812.VHA_003120	Catalyzes the production of spermidine from putrescine and decarboxylated S-adenosylmethionine (dcSAM), which serves as an aminopropyl donor (By similarity)	5.5e-123
-117	COG_FUNCTION	COG0421	Spermidine synthase	0
-117	COG_CATEGORY		E	0
-118	EGGNOG_BACT	316385.ECDH10B_0102	uncharacterized protein yacC	8.9e-78
-118	COG_CATEGORY		S	0
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/functions/02-functions.txt b/anvio/tests/sandbox/mock_data_for_pangenomics/functions/02-functions.txt
deleted file mode 100644
index 5af62941bd..0000000000
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/functions/02-functions.txt
+++ /dev/null
@@ -1,495 +0,0 @@
-gene_callers_id	source	accession	function	e_value
-0	EGGNOG_BACT	469008.B21_00002	Aspartokinase	0
-0	COG_FUNCTION	COG0460, COG0527	Homoserine dehydrogenase; Aspartokinase	0
-0	COG_CATEGORY		E	0
-0	GO_TERMS		GO:0003674, GO:0003824, GO:0004072, GO:0004412, GO:0006082, GO:0006520, GO:0006553, GO:0006566, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009066, GO:0009067, GO:0009069, GO:0009070, GO:0009085, GO:0009088, GO:0009089, GO:0009090, GO:0009092, GO:0009987, GO:0016053, GO:0016301, GO:0016310, GO:0016491, GO:0016614, GO:0016616, GO:0016740, GO:0016772, GO:0016774, GO:0019202, GO:0019752, GO:0043436, GO:0043648, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0046451, GO:0055114, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-0	KEGG_PATHWAYS		map00260, map00270, map00300, map01100, map01110, map01120, map01210, map01230	0
-1	EGGNOG_BACT	469008.B21_00003	Catalyzes the ATP-dependent phosphorylation of L- homoserine to L-homoserine phosphate (By similarity)	3.9e-214
-1	COG_FUNCTION	COG0083	Homoserine kinase	0
-1	COG_CATEGORY		E	0
-1	GO_TERMS		GO:0003674, GO:0003824, GO:0004413, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006520, GO:0006566, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009066, GO:0009067, GO:0009088, GO:0009987, GO:0016053, GO:0016301, GO:0016310, GO:0016740, GO:0016772, GO:0016773, GO:0019202, GO:0019752, GO:0040007, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044464, GO:0044710, GO:0044711, GO:0046394, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-1	KEGG_PATHWAYS		map00260, map01100, map01120, map01230	0
-2	EGGNOG_BACT	155864.Z0004	threonine synthase	7e-292
-2	COG_FUNCTION	COG0498	Threonine synthase	0
-2	COG_CATEGORY		E	0
-2	GO_TERMS		GO:0003674, GO:0003824, GO:0004795, GO:0006082, GO:0006520, GO:0006566, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009066, GO:0009067, GO:0009088, GO:0009987, GO:0016053, GO:0016829, GO:0016835, GO:0016838, GO:0019752, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-2	KEGG_PATHWAYS		map00260, map00750, map01100, map01120, map01230	0
-3	COG_CATEGORY		S	0
-4	EGGNOG_BACT	155864.Z0006	UPF0246 protein	1.3e-174
-4	COG_FUNCTION	COG3022	Cytoplasmic iron level regulating protein YaaA, DUF328/UPF0246 family	0
-4	COG_CATEGORY		L	0
-4	GO_TERMS		GO:0006950, GO:0006979, GO:0008150, GO:0033194, GO:0042221, GO:0050896, GO:1901700	0
-5	EGGNOG_BACT	469008.B21_00007	amino acid carrier protein	0
-5	COG_FUNCTION	COG1115	Na+/alanine symporter	0
-5	COG_CATEGORY		E	0
-5	GO_TERMS		GO:0003333, GO:0003674, GO:0005215, GO:0005283, GO:0005294, GO:0005342, GO:0005343, GO:0005416, GO:0005575, GO:0005623, GO:0005886, GO:0006810, GO:0006811, GO:0006812, GO:0006814, GO:0006820, GO:0006865, GO:0008150, GO:0008324, GO:0008509, GO:0008514, GO:0009987, GO:0015075, GO:0015077, GO:0015081, GO:0015171, GO:0015175, GO:0015291, GO:0015293, GO:0015294, GO:0015370, GO:0015655, GO:0015672, GO:0015711, GO:0015804, GO:0015807, GO:0015808, GO:0015849, GO:0016020, GO:0022804, GO:0022857, GO:0022858, GO:0022890, GO:0022891, GO:0022892, GO:0030001, GO:0032328, GO:0034220, GO:0035725, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0046873, GO:0046942, GO:0046943, GO:0051179, GO:0051234, GO:0055085, GO:0071702, GO:0071705, GO:0071944	0
-6	EGGNOG_BACT	469008.B21_00008	Transaldolase is important for the balance of metabolites in the pentose-phosphate pathway (By similarity)	4e-210
-6	COG_FUNCTION	COG0176	Transaldolase	0
-6	COG_CATEGORY		G	0
-6	GO_TERMS		GO:0003674, GO:0003824, GO:0004801, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0005975, GO:0005996, GO:0006006, GO:0006007, GO:0006098, GO:0006139, GO:0006725, GO:0006732, GO:0006733, GO:0006739, GO:0006740, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0009056, GO:0009117, GO:0009987, GO:0016020, GO:0016052, GO:0016740, GO:0016744, GO:0019318, GO:0019320, GO:0019362, GO:0019637, GO:0034641, GO:0044237, GO:0044238, GO:0044281, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0044723, GO:0044724, GO:0046365, GO:0046483, GO:0046496, GO:0051186, GO:0055086, GO:0055114, GO:0071704, GO:0072524, GO:1901360, GO:1901564, GO:1901575	0
-6	KEGG_PATHWAYS		map00030, map01100, map01110, map01120, map01230	0
-7	EGGNOG_BACT	718254.ENC_45330	Molybdenum cofactor synthesis domain protein	4.5e-117
-7	COG_FUNCTION	COG0521	Molybdopterin biosynthesis enzyme MoaB	0
-7	COG_CATEGORY		H	0
-7	KEGG_PATHWAYS		map00790, map01100, map04122	0
-8	EGGNOG_BACT	155864.Z0010	GPR1 FUN34 yaaH family protein	2.4e-121
-8	COG_FUNCTION	COG1584	Succinate-acetate transporter protein	0
-8	COG_CATEGORY		S	0
-8	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0016020, GO:0044464, GO:0071944	0
-9	EGGNOG_BACT	469008.B21_00011	UPF0174 protein YaaW	1.9e-158
-9	COG_FUNCTION	COG4735	Uncharacterized protein YaaW, UPF0174 family	0
-9	COG_CATEGORY		S	0
-10	EGGNOG_BACT	198214.SF0013	UPF0412 protein YaaI	2.6e-89
-10	COG_CATEGORY		S	0
-11	EGGNOG_BACT	155864.Z0014	Acts as a chaperone (By similarity)	0
-11	COG_FUNCTION	COG0443	Molecular chaperone DnaK (HSP70)	0
-11	COG_CATEGORY		O	0
-11	GO_TERMS		GO:0003674, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005886, GO:0006457, GO:0006950, GO:0008150, GO:0008152, GO:0008270, GO:0009266, GO:0009408, GO:0009628, GO:0009987, GO:0016020, GO:0019538, GO:0043167, GO:0043169, GO:0043170, GO:0043335, GO:0044237, GO:0044238, GO:0044260, GO:0044267, GO:0044424, GO:0044464, GO:0046872, GO:0046914, GO:0050896, GO:0071704, GO:0071944	0
-11	KEGG_PATHWAYS		map03018, map05152	0
-12	EGGNOG_BACT	469008.B21_00015	ATP binding to DnaK triggers the release of the substrate protein, thus completing the reaction cycle. Several rounds of ATP-dependent interactions between DnaJ, DnaK and GrpE are required for fully efficient folding. Also involved, together with DnaK and GrpE, in the DNA replication of plasmids through activation of initiation proteins (By similarity)	3.5e-261
-12	COG_FUNCTION	COG0484	DnaJ-class molecular chaperone with C-terminal Zn finger domain	0
-12	COG_CATEGORY		O	0
-12	GO_TERMS		GO:0003674, GO:0003756, GO:0003824, GO:0005488, GO:0005515, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006139, GO:0006259, GO:0006260, GO:0006457, GO:0006725, GO:0006807, GO:0006950, GO:0008150, GO:0008152, GO:0008270, GO:0009058, GO:0009059, GO:0009266, GO:0009408, GO:0009628, GO:0009987, GO:0016020, GO:0016853, GO:0016860, GO:0016862, GO:0016864, GO:0019538, GO:0034641, GO:0034645, GO:0042026, GO:0043167, GO:0043169, GO:0043170, GO:0043335, GO:0044237, GO:0044238, GO:0044249, GO:0044260, GO:0044267, GO:0044424, GO:0044464, GO:0046483, GO:0046872, GO:0046914, GO:0050896, GO:0051082, GO:0071704, GO:0090304, GO:1901360, GO:1901576	0
-13	EGGNOG_BACT	502347.ESCAB7627_1058	Transposase (IS4 family) protein	4.1e-250
-13	COG_FUNCTION	COG3385	IS4 transposase	0
-13	COG_CATEGORY		L	0
-15	EGGNOG_BACT	511145.b0018	cell killing protein encoded within cryptic prophage	6.5e-45
-15	COG_CATEGORY		S	0
-15	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0016020, GO:0044464, GO:0071944	0
-16	EGGNOG_BACT	469008.B21_00019	Na( ) H( ) antiporter that extrudes sodium in exchange for external protons (By similarity)	1.3e-247
-16	COG_FUNCTION	COG3004	Na+/H+ antiporter NhaA	0
-16	COG_CATEGORY		P	0
-16	GO_TERMS		GO:0003674, GO:0005215, GO:0005451, GO:0005575, GO:0005623, GO:0005886, GO:0006810, GO:0006811, GO:0006812, GO:0006814, GO:0006818, GO:0006873, GO:0006875, GO:0006883, GO:0008150, GO:0008324, GO:0009987, GO:0015075, GO:0015077, GO:0015078, GO:0015081, GO:0015291, GO:0015297, GO:0015298, GO:0015299, GO:0015385, GO:0015491, GO:0015672, GO:0015992, GO:0016020, GO:0019725, GO:0022804, GO:0022857, GO:0022890, GO:0022891, GO:0022892, GO:0030001, GO:0030003, GO:0030004, GO:0034220, GO:0035725, GO:0042592, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0046873, GO:0048878, GO:0050801, GO:0051179, GO:0051234, GO:0055065, GO:0055067, GO:0055078, GO:0055080, GO:0055082, GO:0055085, GO:0065007, GO:0065008, GO:0071944	0
-16	KEGG_PATHWAYS		map00680	0
-17	EGGNOG_BACT	469008.B21_00020	transcriptional regulator, lysR family	1.7e-207
-17	COG_FUNCTION	COG0583	DNA-binding transcriptional regulator, LysR family	0
-17	COG_CATEGORY		K	0
-17	GO_TERMS		GO:0001071, GO:0003674, GO:0003700, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006355, GO:0008150, GO:0009889, GO:0010468, GO:0010556, GO:0019219, GO:0019222, GO:0031323, GO:0031326, GO:0044424, GO:0044464, GO:0050789, GO:0050794, GO:0051171, GO:0051252, GO:0060255, GO:0065007, GO:0080090, GO:2000112, GO:2001141	0
-19	EGGNOG_BACT	469595.CSAG_01977	outer membrane usher protein	4.2e-162
-19	COG_FUNCTION	COG3188	Outer membrane usher protein FimD/PapC	0
-19	COG_CATEGORY		M	0
-19	GO_TERMS		GO:0005575, GO:0005623, GO:0006950, GO:0006974, GO:0008150, GO:0009279, GO:0009987, GO:0016020, GO:0019867, GO:0030312, GO:0030313, GO:0031975, GO:0033554, GO:0044462, GO:0044464, GO:0044699, GO:0044763, GO:0050896, GO:0051716, GO:0071944	0
-19	KEGG_PATHWAYS		map05133	0
-21	EGGNOG_BACT	177439.DP0861	is1 orf1	4.4e-63
-21	COG_FUNCTION	COG3677	Transposase	0
-21	COG_CATEGORY		L	0
-22	EGGNOG_BACT	469613.HMPREF0864_01300	is1 orf2	6.9e-86
-22	COG_FUNCTION	COG1662	Transposase and inactivated derivatives, IS1 family	0
-22	COG_CATEGORY		L	0
-22	GO_TERMS		GO:0006139, GO:0006259, GO:0006310, GO:0006313, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0009987, GO:0032196, GO:0034641, GO:0043170, GO:0044237, GO:0044238, GO:0044260, GO:0044699, GO:0044763, GO:0046483, GO:0071704, GO:0090304, GO:1901360	0
-24	EGGNOG_BACT	272620.KPN_00018	(ribosomal) protein	2.3e-38
-24	COG_FUNCTION	COG0268	Ribosomal protein S20	0
-24	COG_CATEGORY		J	0
-24	KEGG_PATHWAYS		map03010	0
-25	EGGNOG_BACT	469008.B21_00028	riboflavin biosynthesis protein ribF	1.4e-209
-25	COG_FUNCTION	COG0196	FAD synthase	0
-25	COG_CATEGORY		H	0
-25	GO_TERMS		GO:0003674, GO:0003824, GO:0003919, GO:0006139, GO:0006725, GO:0006732, GO:0006747, GO:0006753, GO:0006766, GO:0006767, GO:0006771, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008531, GO:0009058, GO:0009108, GO:0009110, GO:0009117, GO:0009123, GO:0009124, GO:0009156, GO:0009161, GO:0009165, GO:0009231, GO:0009259, GO:0009260, GO:0009398, GO:0009987, GO:0016301, GO:0016310, GO:0016740, GO:0016772, GO:0016773, GO:0016779, GO:0018130, GO:0019438, GO:0019637, GO:0019693, GO:0034641, GO:0034654, GO:0040007, GO:0042364, GO:0042726, GO:0042727, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046390, GO:0046443, GO:0046444, GO:0046483, GO:0051186, GO:0051188, GO:0055086, GO:0070566, GO:0071704, GO:0072387, GO:0072388, GO:0090407, GO:1901135, GO:1901137, GO:1901293, GO:1901360, GO:1901362, GO:1901564, GO:1901566, GO:1901576	0
-25	KEGG_PATHWAYS		map00740, map01100	0
-26	EGGNOG_BACT	469008.B21_00029	amino acids such as valine, to avoid such errors it has two additional distinct tRNA(Ile)-dependent editing activities. One activity is designated as 'pretransfer' editing and involves the hydrolysis of activated Val-AMP. The other activity is designated 'posttransfer' editing and involves deacylation of mischarged Val-tRNA(Ile) (By similarity)	0
-26	COG_FUNCTION	COG0060	Isoleucyl-tRNA synthetase	0
-26	COG_CATEGORY		J	0
-26	GO_TERMS		GO:0003674, GO:0003824, GO:0004812, GO:0004822, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006139, GO:0006399, GO:0006412, GO:0006418, GO:0006428, GO:0006520, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0009058, GO:0009059, GO:0009987, GO:0010467, GO:0016070, GO:0016874, GO:0016875, GO:0016876, GO:0019538, GO:0019752, GO:0034641, GO:0034645, GO:0034660, GO:0043038, GO:0043039, GO:0043170, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044260, GO:0044267, GO:0044281, GO:0044424, GO:0044464, GO:0044710, GO:0046483, GO:0071704, GO:0090304, GO:1901360, GO:1901564, GO:1901576	0
-26	KEGG_PATHWAYS		map00970	0
-27	EGGNOG_BACT	469008.B21_00030	This protein specifically catalyzes the removal of signal peptides from prolipoproteins (By similarity)	3.7e-110
-27	COG_FUNCTION	COG0597	Lipoprotein signal peptidase	0
-27	COG_CATEGORY		M, U	0
-27	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0016020, GO:0044464, GO:0071944	0
-27	KEGG_PATHWAYS		map03060	0
-28	EGGNOG_BACT	155864.Z0033	Peptidyl-prolyl cis-trans isomerase	9.2e-99
-28	COG_FUNCTION	COG1047	FKBP-type peptidyl-prolyl cis-trans isomerase 2	0
-28	COG_CATEGORY		O	0
-28	GO_TERMS		GO:0000413, GO:0003674, GO:0003755, GO:0003824, GO:0005488, GO:0005527, GO:0005528, GO:0005575, GO:0006457, GO:0006464, GO:0008144, GO:0008150, GO:0008152, GO:0009987, GO:0016020, GO:0016853, GO:0016859, GO:0018193, GO:0018208, GO:0019538, GO:0036211, GO:0043170, GO:0043412, GO:0044237, GO:0044238, GO:0044260, GO:0044267, GO:0071704, GO:0097159, GO:1901363	0
-29	EGGNOG_BACT	155864.Z0034	Converts 1-hydroxy-2-methyl-2-(E)-butenyl 4-diphosphate into isopentenyl diphosphate (IPP) and dimethylallyl diphosphate (DMAPP) (By similarity)	1.3e-209
-29	COG_FUNCTION	COG0761	4-Hydroxy-3-methylbut-2-enyl diphosphate reductase IspH	0
-29	COG_CATEGORY		I	0
-29	GO_TERMS		GO:0003674, GO:0003824, GO:0006732, GO:0006733, GO:0006743, GO:0006744, GO:0008150, GO:0008152, GO:0009058, GO:0009108, GO:0009636, GO:0009987, GO:0016491, GO:0042180, GO:0042181, GO:0042221, GO:0042375, GO:0042380, GO:0044237, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0045426, GO:0046677, GO:0050896, GO:0051186, GO:0051188, GO:0055114, GO:0071704, GO:1901576, GO:1901661, GO:1901663	0
-29	KEGG_PATHWAYS		map00900, map01100, map01110, map03010	0
-30	EGGNOG_BACT	469008.B21_00033	nucleoside hydrolase	6.6e-208
-30	COG_FUNCTION	COG1957	Inosine-uridine nucleoside N-ribohydrolase	0
-30	COG_CATEGORY		F	0
-30	GO_TERMS		GO:0003674, GO:0003824, GO:0006139, GO:0006725, GO:0006807, GO:0006950, GO:0006974, GO:0008150, GO:0008152, GO:0008477, GO:0009056, GO:0009116, GO:0009119, GO:0009164, GO:0009987, GO:0016787, GO:0016798, GO:0016799, GO:0019439, GO:0033554, GO:0034641, GO:0034655, GO:0042454, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044699, GO:0044710, GO:0044763, GO:0045437, GO:0046483, GO:0046700, GO:0047622, GO:0047724, GO:0050263, GO:0050896, GO:0051716, GO:0055086, GO:0071704, GO:1901135, GO:1901136, GO:1901360, GO:1901361, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658	0
-30	KEGG_PATHWAYS		map00230, map00240, map00760, map01100	0
-31	EGGNOG_BACT	469008.B21_00034	Catalyzes the conversion of 4-hydroxy- tetrahydrodipicolinate (HTPA) to tetrahydrodipicolinate (By similarity)	9e-178
-31	COG_FUNCTION	COG0289	Dihydrodipicolinate reductase	0
-31	COG_CATEGORY		E	0
-31	GO_TERMS		GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006082, GO:0006520, GO:0006553, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0008839, GO:0009058, GO:0009066, GO:0009067, GO:0009085, GO:0009089, GO:0009987, GO:0016053, GO:0016491, GO:0016627, GO:0016628, GO:0019752, GO:0019877, GO:0043436, GO:0043648, GO:0043650, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0044711, GO:0046394, GO:0046451, GO:0055114, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-31	KEGG_PATHWAYS		map00300, map01100, map01110, map01120, map01230	0
-32	EGGNOG_BACT	155864.Z0037	carbamoyl-phosphate synthetase glutamine chain	9.5e-264
-32	COG_FUNCTION	COG0505	Carbamoylphosphate synthase small subunit	0
-32	COG_CATEGORY		F	0
-32	GO_TERMS		GO:0003674, GO:0003824, GO:0004088, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0005951, GO:0006082, GO:0006139, GO:0006206, GO:0006207, GO:0006220, GO:0006221, GO:0006520, GO:0006525, GO:0006526, GO:0006541, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009064, GO:0009084, GO:0009112, GO:0009117, GO:0009165, GO:0009218, GO:0009220, GO:0009259, GO:0009260, GO:0009987, GO:0016053, GO:0016874, GO:0016879, GO:0016884, GO:0018130, GO:0019438, GO:0019637, GO:0019693, GO:0019752, GO:0019856, GO:0032991, GO:0034641, GO:0034654, GO:0043234, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0044711, GO:0046112, GO:0046390, GO:0046394, GO:0046483, GO:0055086, GO:0071704, GO:0072527, GO:0072528, GO:0090407, GO:1901135, GO:1901137, GO:1901293, GO:1901360, GO:1901362, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-32	KEGG_PATHWAYS		map00240, map00250, map01100	0
-33	EGGNOG_BACT	469008.B21_00036	carbamoyl-phosphate synthetase ammonia chain	0
-33	COG_FUNCTION	COG0458	Carbamoylphosphate synthase large subunit	0
-33	COG_CATEGORY		F	0
-33	GO_TERMS		GO:0000166, GO:0001882, GO:0001883, GO:0003674, GO:0003824, GO:0004087, GO:0004088, GO:0005488, GO:0005524, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005886, GO:0005951, GO:0006082, GO:0006139, GO:0006206, GO:0006220, GO:0006221, GO:0006520, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009112, GO:0009117, GO:0009165, GO:0009218, GO:0009220, GO:0009259, GO:0009260, GO:0009987, GO:0016020, GO:0016053, GO:0016597, GO:0016874, GO:0016879, GO:0016884, GO:0017076, GO:0018130, GO:0019438, GO:0019637, GO:0019693, GO:0019752, GO:0019856, GO:0030554, GO:0031406, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032559, GO:0032991, GO:0034641, GO:0034654, GO:0035639, GO:0036094, GO:0043167, GO:0043168, GO:0043169, GO:0043234, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0044711, GO:0046112, GO:0046390, GO:0046394, GO:0046483, GO:0046872, GO:0055086, GO:0071704, GO:0071944, GO:0072527, GO:0072528, GO:0090407, GO:0097159, GO:1901135, GO:1901137, GO:1901265, GO:1901293, GO:1901360, GO:1901362, GO:1901363, GO:1901564, GO:1901566, GO:1901576	0
-33	KEGG_PATHWAYS		map00240, map00250, map01100	0
-34	EGGNOG_BACT	155864.Z0040	Transcriptional activatory protein CaiF	1.1e-89
-34	COG_CATEGORY		K	0
-34	GO_TERMS		GO:0001071, GO:0003674, GO:0003700, GO:0003824, GO:0006082, GO:0006139, GO:0006351, GO:0006355, GO:0006577, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0008735, GO:0009058, GO:0009059, GO:0009437, GO:0009889, GO:0009987, GO:0010467, GO:0010468, GO:0010556, GO:0016070, GO:0016829, GO:0016835, GO:0016836, GO:0018130, GO:0019219, GO:0019222, GO:0019438, GO:0019752, GO:0031323, GO:0031326, GO:0032774, GO:0032787, GO:0034641, GO:0034645, GO:0034654, GO:0043170, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044260, GO:0044271, GO:0044281, GO:0044710, GO:0046483, GO:0050789, GO:0050794, GO:0051171, GO:0051252, GO:0060255, GO:0065007, GO:0071704, GO:0080090, GO:0090304, GO:1901360, GO:1901362, GO:1901576, GO:1901615, GO:2000112, GO:2001141	0
-35	EGGNOG_BACT	469008.B21_00038	Transferase	3.2e-134
-35	COG_FUNCTION	COG0663	Carbonic anhydrase or acetyltransferase, isoleucine patch superfamily	0
-35	COG_CATEGORY		L	0
-35	GO_TERMS		GO:0003674, GO:0003824, GO:0006082, GO:0006577, GO:0006725, GO:0006805, GO:0006807, GO:0008150, GO:0008152, GO:0008735, GO:0009056, GO:0009410, GO:0009437, GO:0009987, GO:0010124, GO:0016054, GO:0016829, GO:0016835, GO:0016836, GO:0019439, GO:0019752, GO:0032787, GO:0034641, GO:0042178, GO:0042221, GO:0042537, GO:0043436, GO:0044237, GO:0044248, GO:0044281, GO:0044282, GO:0044699, GO:0044710, GO:0044712, GO:0044763, GO:0046395, GO:0050896, GO:0051716, GO:0070887, GO:0071466, GO:0071704, GO:0072329, GO:1901360, GO:1901361, GO:1901575, GO:1901615	0
-36	EGGNOG_BACT	316385.ECDH10B_0037	Enoyl-CoA hydratase	3.5e-175
-36	COG_FUNCTION	COG1024	Enoyl-CoA hydratase/carnithine racemase	0
-36	COG_CATEGORY		I	0
-36	GO_TERMS		GO:0003674, GO:0003824, GO:0006082, GO:0006577, GO:0006579, GO:0006807, GO:0008150, GO:0008152, GO:0008809, GO:0009056, GO:0009437, GO:0009987, GO:0016054, GO:0016853, GO:0016854, GO:0016856, GO:0019752, GO:0032787, GO:0034641, GO:0042413, GO:0043436, GO:0044237, GO:0044248, GO:0044270, GO:0044281, GO:0044282, GO:0044710, GO:0044712, GO:0046395, GO:0071704, GO:0072329, GO:1901575, GO:1901615, GO:1901616	0
-36	KEGG_PATHWAYS		map00362, map00363, map00626, map00630, map00650, map00720, map00903, map01100, map01110, map01120	0
-37	EGGNOG_BACT	469008.B21_00040	Could catalyze the transfer of CoA to carnitine, generating the initial carnitinyl-CoA needed for the CaiB reaction cycle	0
-37	COG_FUNCTION	COG0318	Acyl-CoA synthetase (AMP-forming)/AMP-acid ligase II	0
-37	COG_CATEGORY		I, Q	0
-37	GO_TERMS		GO:0003674, GO:0003824, GO:0008150, GO:0008152, GO:0016405, GO:0016874, GO:0016877, GO:0016879, GO:0016881, GO:0051108, GO:0051109	0
-37	KEGG_PATHWAYS		map00627, map00640, map00903, map00930, map00960, map01100, map01110, map01120	0
-38	EGGNOG_BACT	316385.ECDH10B_0039	Catalyzes the reversible transfer of the CoA moiety from gamma-butyrobetainyl-CoA to L-carnitine to generate L-carnitinyl- CoA and gamma-butyrobetaine. Is also able to catalyze the reversible transfer of the CoA moiety from gamma-butyrobetainyl- CoA or L-carnitinyl-CoA to crotonobetaine to generate crotonobetainyl-CoA (By similarity)	2.9e-173
-38	COG_FUNCTION	COG1804	Crotonobetainyl-CoA:carnitine CoA-transferase CaiB and related acyl-CoA transferases	0
-38	COG_CATEGORY		C	0
-38	GO_TERMS		GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006577, GO:0006579, GO:0006807, GO:0008150, GO:0008152, GO:0008735, GO:0009056, GO:0009437, GO:0009987, GO:0016054, GO:0016829, GO:0016835, GO:0016836, GO:0019752, GO:0032787, GO:0034641, GO:0042413, GO:0043436, GO:0044237, GO:0044248, GO:0044270, GO:0044281, GO:0044282, GO:0044424, GO:0044464, GO:0044710, GO:0044712, GO:0046395, GO:0071704, GO:0072329, GO:1901575, GO:1901615, GO:1901616	0
-38	KEGG_PATHWAYS		map00281, map00623, map00626, map00720, map01100, map01110, map01120, map01220	0
-39	EGGNOG_BACT	362663.ECP_0038	Catalyzes the reversible transfer of the CoA moiety from gamma-butyrobetainyl-CoA to L-carnitine to generate L-carnitinyl- CoA and gamma-butyrobetaine. Is also able to catalyze the reversible transfer of the CoA moiety from gamma-butyrobetainyl- CoA or L-carnitinyl-CoA to crotonobetaine to generate crotonobetainyl-CoA (By similarity)	1e-96
-39	COG_FUNCTION	COG1804	Crotonobetainyl-CoA:carnitine CoA-transferase CaiB and related acyl-CoA transferases	0
-39	COG_CATEGORY		C	0
-39	GO_TERMS		GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006577, GO:0006579, GO:0006807, GO:0008150, GO:0008152, GO:0008735, GO:0009056, GO:0009437, GO:0009987, GO:0016054, GO:0016829, GO:0016835, GO:0016836, GO:0019752, GO:0032787, GO:0034641, GO:0042413, GO:0043436, GO:0044237, GO:0044248, GO:0044270, GO:0044281, GO:0044282, GO:0044424, GO:0044464, GO:0044710, GO:0044712, GO:0046395, GO:0071704, GO:0072329, GO:1901575, GO:1901615, GO:1901616	0
-39	KEGG_PATHWAYS		map00281, map00623, map00626, map00720, map01100, map01110, map01120, map01220	0
-40	EGGNOG_BACT	649764.HMPREF0762_01881	Dehydrogenase	9.4e-164
-40	COG_FUNCTION	COG1960	Acyl-CoA dehydrogenase related to the alkylation response protein AidB	0
-40	COG_CATEGORY		I	0
-41	EGGNOG_BACT	469008.B21_00043	Transporter	0
-41	COG_FUNCTION	COG1292	Choline-glycine betaine transporter	0
-41	COG_CATEGORY		P	0
-41	GO_TERMS		GO:0003333, GO:0003674, GO:0005215, GO:0005342, GO:0005575, GO:0005623, GO:0005886, GO:0006810, GO:0006811, GO:0006812, GO:0006820, GO:0006865, GO:0008028, GO:0008150, GO:0008324, GO:0008509, GO:0008514, GO:0009987, GO:0015075, GO:0015101, GO:0015171, GO:0015199, GO:0015226, GO:0015651, GO:0015695, GO:0015697, GO:0015711, GO:0015718, GO:0015838, GO:0015849, GO:0015850, GO:0015879, GO:0016020, GO:0022857, GO:0022891, GO:0022892, GO:0034220, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0046942, GO:0046943, GO:0051179, GO:0051234, GO:0055085, GO:0071702, GO:0071705, GO:0071944, GO:1901618	0
-42	EGGNOG_BACT	701347.Entcl_2473	Electron transfer flavoprotein	2.3e-130
-42	COG_FUNCTION	COG2086	Electron transfer flavoprotein, alpha and beta subunits	0
-42	COG_CATEGORY		C	0
-42	GO_TERMS		GO:0006950, GO:0006974, GO:0008150, GO:0009987, GO:0033554, GO:0044699, GO:0044763, GO:0050896, GO:0051716	0
-42	KEGG_PATHWAYS		map00910	0
-43	EGGNOG_BACT	316385.ECDH10B_0043	Electron transfer flavoprotein	2.8e-209
-43	COG_FUNCTION	COG2025	Electron transfer flavoprotein, alpha subunit	0
-43	COG_CATEGORY		C	0
-43	GO_TERMS		GO:0006082, GO:0006577, GO:0006807, GO:0008150, GO:0008152, GO:0009437, GO:0009987, GO:0019752, GO:0032787, GO:0034641, GO:0043436, GO:0044237, GO:0044281, GO:0044710, GO:0071704, GO:1901615	0
-43	KEGG_PATHWAYS		map00910	0
-44	EGGNOG_BACT	199310.c0053	electron transfer flavoprotein-ubiquinone oxidoreductase	2e-283
-44	COG_FUNCTION	COG0644	Dehydrogenase (flavoprotein)	0
-44	COG_CATEGORY		C	0
-44	GO_TERMS		GO:0000166, GO:0003674, GO:0003824, GO:0004174, GO:0005488, GO:0006082, GO:0006577, GO:0006807, GO:0008150, GO:0008152, GO:0009437, GO:0009987, GO:0016491, GO:0016645, GO:0016649, GO:0019752, GO:0032787, GO:0034641, GO:0036094, GO:0043167, GO:0043168, GO:0043436, GO:0044237, GO:0044281, GO:0044710, GO:0048037, GO:0050660, GO:0050662, GO:0051536, GO:0051540, GO:0055114, GO:0071704, GO:0097159, GO:1901265, GO:1901363, GO:1901615	0
-44	KEGG_PATHWAYS		map00910	0
-45	EGGNOG_BACT	155864.Z0050	Could be part of an electron transfer system required for anaerobic carnitine reduction. Could be a 3Fe-4S cluster- containing protein	1.4e-67
-45	COG_FUNCTION	COG2440	Ferredoxin-like protein FixX	0
-45	COG_CATEGORY		C	0
-46	EGGNOG_BACT	316385.ECDH10B_0046	Major Facilitator superfamily	3.2e-298
-46	COG_CATEGORY		G	0
-46	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0016020, GO:0044464, GO:0071944	0
-47	EGGNOG_BACT	199310.c0056	glutathione-regulated potassium-efflux system ancillary protein KefF	1.1e-128
-47	COG_FUNCTION	COG2249	Putative NADPH-quinone reductase (modulator of drug activity B)	0
-47	COG_CATEGORY		S	0
-47	GO_TERMS		GO:0000166, GO:0003674, GO:0003824, GO:0003955, GO:0005488, GO:0008150, GO:0008152, GO:0009055, GO:0010181, GO:0016491, GO:0016651, GO:0016655, GO:0022898, GO:0032409, GO:0032411, GO:0032412, GO:0032414, GO:0032553, GO:0032879, GO:0034762, GO:0034765, GO:0036094, GO:0043167, GO:0043168, GO:0043269, GO:0044093, GO:0044710, GO:0048037, GO:0048518, GO:0050662, GO:0050789, GO:0050794, GO:0051049, GO:0051050, GO:0055114, GO:0065007, GO:0065009, GO:0097159, GO:1901265, GO:1901363	0
-48	EGGNOG_BACT	251221.glr1343	Sodium/hydrogen exchanger family	5.4e-162
-48	COG_FUNCTION	COG0475, COG1226	Kef-type K+ transport system, membrane component KefB; Voltage-gated potassium channel Kch	0
-48	COG_CATEGORY		P	0
-49	EGGNOG_BACT	199310.c0058	Key enzyme in folate metabolism. Catalyzes an essential reaction for de novo glycine and purine synthesis, and for DNA precursor synthesis (By similarity)	1.3e-137
-49	COG_FUNCTION	COG0262	Dihydrofolate reductase	0
-49	COG_CATEGORY		H	0
-49	GO_TERMS		GO:0003674, GO:0003824, GO:0004146, GO:0006082, GO:0006520, GO:0006575, GO:0006725, GO:0006732, GO:0006760, GO:0006766, GO:0006767, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009108, GO:0009110, GO:0009256, GO:0009257, GO:0009396, GO:0009987, GO:0016053, GO:0016491, GO:0016645, GO:0016646, GO:0018130, GO:0019438, GO:0019752, GO:0034641, GO:0042221, GO:0042364, GO:0042398, GO:0042493, GO:0042558, GO:0042559, GO:0043436, GO:0043648, GO:0043650, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0046483, GO:0046653, GO:0046654, GO:0046655, GO:0046656, GO:0050896, GO:0051186, GO:0051188, GO:0055114, GO:0071704, GO:1901360, GO:1901362, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-49	KEGG_PATHWAYS		map00670, map00790, map01100	0
-50	EGGNOG_BACT	316385.ECDH10B_0050	Hydrolyzes diadenosine 5',5'''-P1,P4-tetraphosphate to yield ADP (By similarity)	4.6e-201
-50	COG_FUNCTION	COG0639	Diadenosine tetraphosphatase ApaH/serine/threonine protein phosphatase, PP2A family	0
-50	COG_CATEGORY		F	0
-50	GO_TERMS		GO:0003674, GO:0003824, GO:0004551, GO:0006139, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0008796, GO:0008803, GO:0009987, GO:0015949, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0034641, GO:0044237, GO:0044238, GO:0044281, GO:0044710, GO:0046483, GO:0055086, GO:0071704, GO:1901360	0
-50	KEGG_PATHWAYS		map00230	0
-51	EGGNOG_BACT	155864.Z0059	ApaG protein	1.3e-84
-51	COG_FUNCTION	COG2967	Uncharacterized protein affecting Mg2+/Co2+ transport	0
-51	COG_CATEGORY		P	0
-52	EGGNOG_BACT	316385.ECDH10B_0052	Specifically dimethylates two adjacent adenosines (A1518 and A1519) in the loop of a conserved hairpin near the 3'-end of 16S rRNA in the 30S particle. May play a critical role in biogenesis of 30S subunits (By similarity)	3.2e-185
-52	COG_FUNCTION	COG0030	16S rRNA A1518 and A1519 N6-dimethyltransferase RsmA/KsgA/DIM1 (may also have DNA glycosylase/AP lyase activity)	0
-52	COG_CATEGORY		J	0
-52	GO_TERMS		GO:0000028, GO:0000154, GO:0000179, GO:0001510, GO:0003674, GO:0003676, GO:0003677, GO:0003690, GO:0003723, GO:0003729, GO:0003824, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006139, GO:0006364, GO:0006396, GO:0006725, GO:0006807, GO:0006996, GO:0008150, GO:0008152, GO:0008168, GO:0008170, GO:0008173, GO:0008649, GO:0008757, GO:0009451, GO:0009987, GO:0010467, GO:0016043, GO:0016070, GO:0016072, GO:0016433, GO:0016740, GO:0016741, GO:0019843, GO:0022607, GO:0022613, GO:0022618, GO:0031167, GO:0032259, GO:0034470, GO:0034622, GO:0034641, GO:0034660, GO:0042254, GO:0042255, GO:0042274, GO:0043170, GO:0043412, GO:0043414, GO:0043566, GO:0043933, GO:0044085, GO:0044237, GO:0044238, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044763, GO:0046483, GO:0065003, GO:0070475, GO:0070925, GO:0071704, GO:0071826, GO:0071840, GO:0090304, GO:0097159, GO:1901360, GO:1901363	0
-53	EGGNOG_BACT	316385.ECDH10B_0053	Catalyzes the NAD(P)-dependent oxidation of 4- (phosphohydroxy)-L-threonine (HTP) into 2-amino-3-oxo-4- (phosphohydroxy)butyric acid which spontaneously decarboxylates to form 3-amino-2-oxopropyl phosphate (AHAP) (By similarity)	1.4e-221
-53	COG_FUNCTION	COG1995	4-hydroxy-L-threonine phosphate dehydrogenase PdxA	0
-53	COG_CATEGORY		H	0
-53	GO_TERMS		GO:0000166, GO:0000287, GO:0003674, GO:0003824, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006725, GO:0006732, GO:0006766, GO:0006767, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008270, GO:0008614, GO:0008615, GO:0009058, GO:0009108, GO:0009110, GO:0009987, GO:0016491, GO:0016614, GO:0016616, GO:0018130, GO:0019438, GO:0019637, GO:0034641, GO:0036094, GO:0042364, GO:0042816, GO:0042819, GO:0042822, GO:0042823, GO:0043167, GO:0043169, GO:0044237, GO:0044249, GO:0044271, GO:0044281, GO:0044283, GO:0044424, GO:0044464, GO:0044710, GO:0044711, GO:0046483, GO:0046872, GO:0046914, GO:0048037, GO:0050570, GO:0050662, GO:0051186, GO:0051188, GO:0051287, GO:0055114, GO:0071704, GO:0072524, GO:0072525, GO:0090407, GO:0097159, GO:1901265, GO:1901360, GO:1901362, GO:1901363, GO:1901564, GO:1901566, GO:1901576, GO:1901615, GO:1901617	0
-53	KEGG_PATHWAYS		map00750, map01100	0
-54	EGGNOG_BACT	155864.Z0062	Chaperone involved in the correct folding and assembly of outer membrane proteins. Recognizes specific patterns of aromatic residues and the orientation of their side chains, which are found more frequently in integral outer membrane proteins. May act in both early periplasmic and late outer membrane-associated steps of protein maturation (By similarity)	4.1e-283
-54	COG_FUNCTION	COG0760	Parvulin-like peptidyl-prolyl isomerase	0
-54	COG_CATEGORY		O	0
-54	GO_TERMS		GO:0000413, GO:0003674, GO:0003755, GO:0003824, GO:0005488, GO:0005515, GO:0005575, GO:0005623, GO:0006457, GO:0006458, GO:0006464, GO:0008150, GO:0008152, GO:0009987, GO:0010468, GO:0010608, GO:0016043, GO:0016044, GO:0016853, GO:0016859, GO:0018193, GO:0018208, GO:0019222, GO:0019538, GO:0022607, GO:0030288, GO:0030312, GO:0030313, GO:0031647, GO:0031975, GO:0033218, GO:0036211, GO:0042277, GO:0042592, GO:0042597, GO:0042710, GO:0043163, GO:0043165, GO:0043170, GO:0043412, GO:0044085, GO:0044091, GO:0044237, GO:0044238, GO:0044260, GO:0044267, GO:0044462, GO:0044464, GO:0044699, GO:0044763, GO:0044764, GO:0045229, GO:0048872, GO:0048874, GO:0050789, GO:0050821, GO:0051082, GO:0051084, GO:0051085, GO:0051704, GO:0060255, GO:0060274, GO:0061024, GO:0061077, GO:0065007, GO:0065008, GO:0071704, GO:0071709, GO:0071840, GO:0071944	0
-55	EGGNOG_BACT	316385.ECDH10B_0055	involved in the assembly of LPS in the outer leaflet of the outer membrane. Determines N-hexane tolerance and is involved in outer membrane permeability. Essential for envelope biogenesis (By similarity)	0
-55	COG_FUNCTION	COG1452	LPS assembly outer membrane protein LptD (organic solvent tolerance protein OstA)	0
-55	COG_CATEGORY		M	0
-55	GO_TERMS		GO:0005575, GO:0005623, GO:0006810, GO:0006869, GO:0008150, GO:0009279, GO:0009636, GO:0009987, GO:0010033, GO:0010876, GO:0015920, GO:0016020, GO:0016043, GO:0016044, GO:0019867, GO:0022607, GO:0030312, GO:0030313, GO:0031975, GO:0033036, GO:0042221, GO:0043163, GO:0043165, GO:0044085, GO:0044091, GO:0044462, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0045229, GO:0050896, GO:0051179, GO:0051234, GO:0061024, GO:0071702, GO:0071709, GO:0071840, GO:0071944, GO:1901264	0
-56	EGGNOG_BACT	469008.B21_00058	Regulatory DnaK co-chaperone. Direct interaction between DnaK and DjlA is needed for the induction of the wcaABCDE operon, involved in the synthesis of a colanic acid polysaccharide capsule, possibly through activation of the RcsB RcsC phosphotransfer signaling pathway. The colanic acid capsule may help the bacterium survive conditions outside the host (By similarity)	6.2e-186
-56	COG_FUNCTION	COG1076	DnaJ-domain-containing proteins 1	0
-56	COG_CATEGORY		O	0
-56	GO_TERMS		GO:0003674, GO:0005488, GO:0005515, GO:0005575, GO:0005623, GO:0005886, GO:0005887, GO:0016020, GO:0016021, GO:0031224, GO:0031226, GO:0044425, GO:0044459, GO:0044464, GO:0051087, GO:0071944	0
-57	EGGNOG_BACT	316385.ECDH10B_0060	Pseudouridine synthase	1.2e-152
-57	COG_FUNCTION	COG0564	Pseudouridylate synthase, 23S rRNA- or tRNA-specific	0
-57	COG_CATEGORY		J	0
-57	GO_TERMS		GO:0000154, GO:0000455, GO:0001522, GO:0003674, GO:0003824, GO:0006139, GO:0006364, GO:0006396, GO:0006399, GO:0006400, GO:0006725, GO:0006807, GO:0008033, GO:0008150, GO:0008152, GO:0009451, GO:0009982, GO:0009987, GO:0010467, GO:0016070, GO:0016072, GO:0016853, GO:0016866, GO:0022613, GO:0031118, GO:0031119, GO:0034470, GO:0034641, GO:0034660, GO:0042254, GO:0043170, GO:0043412, GO:0044085, GO:0044237, GO:0044238, GO:0044260, GO:0046483, GO:0071704, GO:0071840, GO:0090304, GO:1901360	0
-58	EGGNOG_BACT	155864.Z0067	Transcription regulator that activates transcription by stimulating RNA polymerase (RNAP) recycling in case of stress conditions such as supercoiled DNA or high salt concentrations. Probably acts by releasing the RNAP, when it is trapped or immobilized on tightly supercoiled DNA. Does not activate transcription on linear DNA. Probably not involved in DNA repair (By similarity)	0
-58	COG_FUNCTION	COG0553	Superfamily II DNA or RNA helicase, SNF2 family	0
-58	COG_CATEGORY		L	0
-58	GO_TERMS		GO:0000166, GO:0001882, GO:0001883, GO:0003674, GO:0003676, GO:0003824, GO:0004386, GO:0005488, GO:0005524, GO:0006139, GO:0006152, GO:0006163, GO:0006195, GO:0006200, GO:0006355, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009123, GO:0009125, GO:0009126, GO:0009128, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009158, GO:0009161, GO:0009164, GO:0009166, GO:0009167, GO:0009169, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009889, GO:0009891, GO:0009893, GO:0009987, GO:0010468, GO:0010556, GO:0010557, GO:0010604, GO:0010628, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0016887, GO:0017076, GO:0017111, GO:0019219, GO:0019222, GO:0019439, GO:0019637, GO:0019693, GO:0030554, GO:0031323, GO:0031325, GO:0031326, GO:0031328, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032559, GO:0034641, GO:0034655, GO:0035639, GO:0036094, GO:0042278, GO:0042454, GO:0043167, GO:0043168, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044710, GO:0045893, GO:0045935, GO:0046034, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0048518, GO:0048522, GO:0050789, GO:0050794, GO:0051171, GO:0051173, GO:0051252, GO:0051254, GO:0055086, GO:0060255, GO:0065007, GO:0071704, GO:0072521, GO:0072523, GO:0080090, GO:0097159, GO:1901135, GO:1901136, GO:1901265, GO:1901292, GO:1901360, GO:1901361, GO:1901363, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658, GO:2000112, GO:2001141	0
-59	EGGNOG_BACT	469008.B21_00061	DNA polymerase	0
-59	COG_FUNCTION	COG0417	DNA polymerase elongation subunit (family B)	0
-59	COG_CATEGORY		L	0
-59	GO_TERMS		GO:0003674, GO:0003824, GO:0003887, GO:0004518, GO:0004527, GO:0004529, GO:0004536, GO:0005575, GO:0005622, GO:0005623, GO:0005694, GO:0006139, GO:0006259, GO:0006260, GO:0006261, GO:0006281, GO:0006289, GO:0006297, GO:0006301, GO:0006725, GO:0006807, GO:0006950, GO:0006974, GO:0007154, GO:0008150, GO:0008152, GO:0008296, GO:0008408, GO:0009058, GO:0009059, GO:0009432, GO:0009605, GO:0009987, GO:0009991, GO:0016740, GO:0016772, GO:0016779, GO:0016787, GO:0016788, GO:0016796, GO:0016895, GO:0018130, GO:0019438, GO:0019985, GO:0031668, GO:0033554, GO:0034061, GO:0034641, GO:0034645, GO:0034654, GO:0043170, GO:0043226, GO:0043228, GO:0043229, GO:0043232, GO:0044237, GO:0044238, GO:0044249, GO:0044260, GO:0044271, GO:0044424, GO:0044464, GO:0044699, GO:0044763, GO:0045004, GO:0045005, GO:0046483, GO:0050896, GO:0051716, GO:0071496, GO:0071704, GO:0071897, GO:0090304, GO:0090305, GO:1901360, GO:1901362, GO:1901576	0
-59	KEGG_PATHWAYS		map00230, map00240, map01100	0
-60	EGGNOG_BACT	469008.B21_00062	L-ribulose-5-phosphate 4-epimerase	9.7e-162
-60	COG_FUNCTION	COG0235	Ribulose-5-phosphate 4-epimerase/Fuculose-1-phosphate aldolase	0
-60	COG_CATEGORY		G	0
-60	GO_TERMS		GO:0003674, GO:0003824, GO:0005975, GO:0005996, GO:0006793, GO:0006796, GO:0008150, GO:0008152, GO:0008742, GO:0009056, GO:0009058, GO:0009987, GO:0016052, GO:0016853, GO:0016854, GO:0016857, GO:0019321, GO:0019323, GO:0019324, GO:0019566, GO:0019568, GO:0019569, GO:0019572, GO:0019637, GO:0044237, GO:0044238, GO:0044723, GO:0044724, GO:0046365, GO:0046373, GO:0051167, GO:0071704, GO:0090407, GO:1901135, GO:1901137, GO:1901159, GO:1901575, GO:1901576	0
-60	KEGG_PATHWAYS		map00040, map00053, map01100, map01120	0
-61	EGGNOG_BACT	362663.ECP_0063	Catalyzes the conversion of L-arabinose to L-ribulose (By similarity)	0
-61	COG_FUNCTION	COG2160	L-arabinose isomerase	0
-61	COG_CATEGORY		G	0
-61	GO_TERMS		GO:0003674, GO:0003824, GO:0005975, GO:0005996, GO:0006793, GO:0006796, GO:0008150, GO:0008152, GO:0008733, GO:0009056, GO:0009058, GO:0009987, GO:0016052, GO:0016853, GO:0016860, GO:0016861, GO:0019321, GO:0019323, GO:0019566, GO:0019568, GO:0019569, GO:0019572, GO:0019637, GO:0044237, GO:0044238, GO:0044723, GO:0044724, GO:0046365, GO:0046373, GO:0051167, GO:0071704, GO:0090407, GO:1901135, GO:1901137, GO:1901159, GO:1901575, GO:1901576	0
-61	KEGG_PATHWAYS		map00040, map01100	0
-62	EGGNOG_BACT	469008.B21_00064	ribulokinase	0
-62	COG_FUNCTION	COG1069	Ribulose kinase	0
-62	COG_CATEGORY		C	0
-62	GO_TERMS		GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005975, GO:0005996, GO:0006793, GO:0006796, GO:0008150, GO:0008152, GO:0008741, GO:0009056, GO:0009058, GO:0009987, GO:0016052, GO:0016301, GO:0016310, GO:0016740, GO:0016772, GO:0016773, GO:0019200, GO:0019321, GO:0019323, GO:0019566, GO:0019568, GO:0019569, GO:0019572, GO:0019637, GO:0044237, GO:0044238, GO:0044262, GO:0044424, GO:0044464, GO:0044723, GO:0044724, GO:0046365, GO:0046373, GO:0046835, GO:0051167, GO:0071704, GO:0090407, GO:1901135, GO:1901137, GO:1901159, GO:1901575, GO:1901576	0
-62	KEGG_PATHWAYS		map00040, map01100	0
-63	EGGNOG_BACT	155864.Z0073	transcriptional regulator (AraC	2.2e-209
-63	COG_CATEGORY		K	0
-63	GO_TERMS		GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005975, GO:0005996, GO:0008150, GO:0008152, GO:0009056, GO:0016052, GO:0019321, GO:0019323, GO:0019566, GO:0019568, GO:0044238, GO:0044424, GO:0044464, GO:0044723, GO:0044724, GO:0046365, GO:0071704, GO:1901575	0
-64	EGGNOG_BACT	469008.B21_00066	Membrane	1.1e-171
-64	COG_FUNCTION	COG0586	Uncharacterized membrane protein DedA, SNARE-associated domain	0
-64	COG_CATEGORY		I	0
-64	GO_TERMS		GO:0000003, GO:0000910, GO:0005575, GO:0005623, GO:0005886, GO:0007049, GO:0008150, GO:0009987, GO:0016020, GO:0019954, GO:0022402, GO:0032505, GO:0043093, GO:0044464, GO:0044699, GO:0044763, GO:0051301, GO:0071944	0
-65	EGGNOG_BACT	469008.B21_00067	ABC, transporter	4.7e-152
-65	COG_FUNCTION	COG3840	ABC-type thiamine transport system, ATPase component	0
-65	COG_CATEGORY		H	0
-65	GO_TERMS		GO:0003674, GO:0003824, GO:0005215, GO:0005575, GO:0005623, GO:0005886, GO:0006139, GO:0006152, GO:0006163, GO:0006195, GO:0006200, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0006810, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009123, GO:0009125, GO:0009126, GO:0009128, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009158, GO:0009161, GO:0009164, GO:0009166, GO:0009167, GO:0009169, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009987, GO:0015234, GO:0015399, GO:0015405, GO:0015888, GO:0015893, GO:0016020, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0016820, GO:0016887, GO:0017111, GO:0019439, GO:0019637, GO:0019693, GO:0022804, GO:0022857, GO:0022891, GO:0022892, GO:0034641, GO:0034655, GO:0035461, GO:0042221, GO:0042278, GO:0042454, GO:0042493, GO:0042623, GO:0042626, GO:0043492, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0044765, GO:0045117, GO:0045118, GO:0046034, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0050896, GO:0051179, GO:0051180, GO:0051183, GO:0051234, GO:0055085, GO:0055086, GO:0071702, GO:0071704, GO:0071705, GO:0071944, GO:0072348, GO:0072521, GO:0072523, GO:0090482, GO:0090484, GO:1901135, GO:1901136, GO:1901292, GO:1901360, GO:1901361, GO:1901474, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658, GO:1901682	0
-65	KEGG_PATHWAYS		map02010	0
-66	EGGNOG_BACT	469008.B21_00068	thiamine transporter membrane protein	0
-66	COG_FUNCTION	COG1178	ABC-type Fe3+ transport system, permease component	0
-66	COG_CATEGORY		P	0
-66	GO_TERMS		GO:0003674, GO:0003824, GO:0005215, GO:0005575, GO:0005623, GO:0005886, GO:0006139, GO:0006152, GO:0006163, GO:0006195, GO:0006200, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0006810, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009123, GO:0009125, GO:0009126, GO:0009128, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009158, GO:0009161, GO:0009164, GO:0009166, GO:0009167, GO:0009169, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009987, GO:0015234, GO:0015399, GO:0015405, GO:0015888, GO:0015893, GO:0016020, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0016820, GO:0016887, GO:0017111, GO:0019439, GO:0019637, GO:0019693, GO:0022804, GO:0022857, GO:0022891, GO:0022892, GO:0034641, GO:0034655, GO:0035461, GO:0042221, GO:0042278, GO:0042454, GO:0042493, GO:0042623, GO:0042626, GO:0043492, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0044765, GO:0045117, GO:0045118, GO:0046034, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0050896, GO:0051179, GO:0051180, GO:0051183, GO:0051234, GO:0055085, GO:0055086, GO:0071702, GO:0071704, GO:0071705, GO:0071944, GO:0072348, GO:0072521, GO:0072523, GO:0090482, GO:0090484, GO:1901135, GO:1901136, GO:1901292, GO:1901360, GO:1901361, GO:1901474, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658, GO:1901682	0
-66	KEGG_PATHWAYS		map02010	0
-67	EGGNOG_BACT	316407.85674313	ABC transporter	2e-227
-67	COG_FUNCTION	COG4143	ABC-type thiamine transport system, periplasmic component	0
-67	COG_CATEGORY		H	0
-67	GO_TERMS		GO:0003674, GO:0003824, GO:0005215, GO:0005575, GO:0005623, GO:0006139, GO:0006152, GO:0006163, GO:0006195, GO:0006200, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0006810, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009123, GO:0009125, GO:0009126, GO:0009128, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009158, GO:0009161, GO:0009164, GO:0009166, GO:0009167, GO:0009169, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009987, GO:0015234, GO:0015399, GO:0015405, GO:0015888, GO:0015893, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0016820, GO:0016887, GO:0017111, GO:0019439, GO:0019637, GO:0019693, GO:0022804, GO:0022857, GO:0022891, GO:0022892, GO:0034641, GO:0034655, GO:0035461, GO:0042221, GO:0042278, GO:0042454, GO:0042493, GO:0042597, GO:0042623, GO:0042626, GO:0043492, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0044765, GO:0045117, GO:0045118, GO:0046034, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0050896, GO:0051179, GO:0051180, GO:0051183, GO:0051234, GO:0055085, GO:0055086, GO:0071702, GO:0071704, GO:0071705, GO:0072348, GO:0072521, GO:0072523, GO:0090482, GO:0090484, GO:1901135, GO:1901136, GO:1901292, GO:1901360, GO:1901361, GO:1901474, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658, GO:1901682	0
-67	KEGG_PATHWAYS		map02010	0
-68	EGGNOG_BACT	469008.B21_00070	Activates the small RNA gene sgrS under glucose- phosphate stress conditions as well as yfdZ. Represses its own transcription under both stress and non-stress conditions. Might act as a sensor of the intracellular accumulation of phosphoglucose by binding these molecules in its C-terminal solute-binding domain (By similarity)	0
-68	COG_FUNCTION	COG4533	DNA-binding transcriptional regulator SgrR  of sgrS sRNA, contains a MarR-type HTH domain and a periplasmic-type solute-binding domain	0
-68	COG_CATEGORY		K	0
-69	COG_CATEGORY		S	0
-70	EGGNOG_BACT	469008.B21_00071	sugar efflux transporter	1.2e-254
-70	COG_CATEGORY		G	0
-70	GO_TERMS		GO:0003674, GO:0005215, GO:0005351, GO:0005402, GO:0005575, GO:0005623, GO:0005886, GO:0006810, GO:0006811, GO:0006812, GO:0006818, GO:0006950, GO:0008150, GO:0008324, GO:0008643, GO:0008645, GO:0009987, GO:0015075, GO:0015144, GO:0015291, GO:0015293, GO:0015294, GO:0015295, GO:0015542, GO:0015672, GO:0015749, GO:0015758, GO:0015766, GO:0015767, GO:0015772, GO:0015992, GO:0016020, GO:0016021, GO:0022804, GO:0022857, GO:0022891, GO:0022892, GO:0031224, GO:0033554, GO:0034219, GO:0034220, GO:0044425, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0050896, GO:0051119, GO:0051179, GO:0051234, GO:0051716, GO:0055085, GO:0071702, GO:0071944, GO:1901476	0
-71	EGGNOG_BACT	316407.21321953	Catalyzes the isomerization between 2-isopropylmalate and 3-isopropylmalate, via the formation of 2-isopropylmaleate (By similarity)	1.6e-139
-71	COG_FUNCTION	COG0066	3-isopropylmalate dehydratase small subunit	0
-71	COG_CATEGORY		E	0
-71	GO_TERMS		GO:0003674, GO:0003824, GO:0003861, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006082, GO:0006520, GO:0006551, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009098, GO:0009316, GO:0009987, GO:0016053, GO:0016829, GO:0016835, GO:0016836, GO:0016853, GO:0016866, GO:0019752, GO:0032991, GO:0043234, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044445, GO:0044464, GO:0044710, GO:0044711, GO:0046394, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-71	KEGG_PATHWAYS		map00290, map00660, map01100, map01110, map01210, map01230	0
-72	EGGNOG_BACT	199310.c0089	Catalyzes the isomerization between 2-isopropylmalate and 3-isopropylmalate, via the formation of 2-isopropylmaleate (By similarity)	0
-72	COG_FUNCTION	COG0065	Homoaconitase/3-isopropylmalate dehydratase large subunit	0
-72	COG_CATEGORY		E	0
-72	GO_TERMS		GO:0003674, GO:0003824, GO:0003861, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006082, GO:0006520, GO:0006551, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009098, GO:0009316, GO:0009987, GO:0016053, GO:0016829, GO:0016835, GO:0016836, GO:0016853, GO:0016866, GO:0019752, GO:0032991, GO:0043234, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044445, GO:0044464, GO:0044710, GO:0044711, GO:0046394, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-72	KEGG_PATHWAYS		map00290, map00660, map01100, map01110, map01210, map01230	0
-73	EGGNOG_BACT	316407.21321955	Catalyzes the oxidation of 3-carboxy-2-hydroxy-4- methylpentanoate (3-isopropylmalate) to 3-carboxy-4-methyl-2- oxopentanoate. The product decarboxylates to 4-methyl-2 oxopentanoate (By similarity)	4.3e-249
-73	COG_FUNCTION	COG0473	Isocitrate/isopropylmalate dehydrogenase	0
-73	COG_CATEGORY		E	0
-73	GO_TERMS		GO:0003674, GO:0003824, GO:0003862, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006520, GO:0006551, GO:0006807, GO:0006950, GO:0007154, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009098, GO:0009267, GO:0009605, GO:0009987, GO:0009991, GO:0016053, GO:0016491, GO:0016614, GO:0016616, GO:0019752, GO:0031667, GO:0031668, GO:0031669, GO:0033554, GO:0034198, GO:0042594, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044711, GO:0044763, GO:0046394, GO:0050896, GO:0051716, GO:0055114, GO:0071496, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-73	KEGG_PATHWAYS		map00290, map01100, map01110, map01210, map01230	0
-74	EGGNOG_BACT	316407.85674317	Catalyzes the condensation of the acetyl group of acetyl-CoA with 3-methyl-2-oxobutanoate (2-oxoisovalerate) to form 3-carboxy-3-hydroxy-4-methylpentanoate (2-isopropylmalate) (By similarity)	0
-74	COG_FUNCTION	COG0119	Isopropylmalate/homocitrate/citramalate synthases	0
-74	COG_CATEGORY		E	0
-74	GO_TERMS		GO:0003674, GO:0003824, GO:0003852, GO:0003985, GO:0003988, GO:0006082, GO:0006520, GO:0006551, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009098, GO:0009987, GO:0016053, GO:0016407, GO:0016408, GO:0016453, GO:0016740, GO:0016746, GO:0016747, GO:0019752, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0046912, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-74	KEGG_PATHWAYS		map00290, map00620, map01100, map01110, map01210, map01230	0
-75	EGGNOG_BACT	316407.85674318	transcriptional regulator, lysR family	4.9e-215
-75	COG_CATEGORY		K	0
-75	GO_TERMS		GO:0001071, GO:0003674, GO:0003700, GO:0006355, GO:0008150, GO:0009889, GO:0010468, GO:0010556, GO:0019219, GO:0019222, GO:0031323, GO:0031326, GO:0050789, GO:0050794, GO:0051171, GO:0051252, GO:0060255, GO:0065007, GO:0080090, GO:2000112, GO:2001141	0
-76	EGGNOG_BACT	469008.B21_00078	acetolactate synthase	0
-76	COG_FUNCTION	COG0028	Acetolactate synthase large subunit or other thiamine pyrophosphate-requiring enzyme	0
-76	COG_CATEGORY		E	0
-76	GO_TERMS		GO:0003674, GO:0003824, GO:0003984, GO:0006082, GO:0006520, GO:0006549, GO:0006573, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009097, GO:0009099, GO:0009987, GO:0016053, GO:0016740, GO:0016744, GO:0019752, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0051186, GO:0051188, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-76	KEGG_PATHWAYS		map00290, map00650, map00660, map00770, map01100, map01110, map01210, map01230	0
-77	EGGNOG_BACT	316407.85674320	Acetolactate synthase small subunit	1.2e-101
-77	COG_FUNCTION	COG0440	Acetolactate synthase, small subunit	0
-77	COG_CATEGORY		E	0
-77	GO_TERMS		GO:0003674, GO:0003824, GO:0003984, GO:0006082, GO:0006520, GO:0006549, GO:0006551, GO:0006573, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009097, GO:0009098, GO:0009099, GO:0009987, GO:0016053, GO:0016740, GO:0016744, GO:0019752, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0051186, GO:0051188, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-77	KEGG_PATHWAYS		map00290, map00650, map00660, map00770, map01100, map01110, map01210, map01230	0
-78	EGGNOG_BACT	155864.Z0090	DNA-binding transcriptional regulator FruR	3.9e-227
-78	COG_FUNCTION	COG1609	DNA-binding transcriptional regulator, LacI/PurR family	0
-78	COG_CATEGORY		K	0
-78	GO_TERMS		GO:0001071, GO:0003674, GO:0003676, GO:0003677, GO:0003700, GO:0005488, GO:0005975, GO:0005996, GO:0006006, GO:0006007, GO:0006091, GO:0006096, GO:0006355, GO:0006810, GO:0008150, GO:0008152, GO:0009056, GO:0009889, GO:0009987, GO:0010468, GO:0010556, GO:0016052, GO:0019219, GO:0019222, GO:0019318, GO:0019320, GO:0031323, GO:0031326, GO:0044237, GO:0044238, GO:0044248, GO:0044723, GO:0044724, GO:0046365, GO:0050789, GO:0050794, GO:0051171, GO:0051179, GO:0051234, GO:0051252, GO:0060255, GO:0065007, GO:0071704, GO:0080090, GO:0097159, GO:1901363, GO:1901575, GO:2000112, GO:2001141	0
-79	EGGNOG_BACT	155864.Z0091	Cell division protein mraZ	1.1e-102
-79	COG_FUNCTION	COG2001	MraZ, DNA-binding transcriptional regulator and inhibitor of RsmH methyltransferase activity	0
-79	COG_CATEGORY		S	0
-79	GO_TERMS		GO:0008150, GO:0040007	0
-80	EGGNOG_BACT	155864.Z0092	Specifically methylates the N4 position of cytidine in position 1402 (C1402) of 16S rRNA (By similarity)	5.9e-208
-80	COG_FUNCTION	COG0275	16S rRNA C1402 N4-methylase RsmH	0
-80	COG_CATEGORY		M	0
-80	GO_TERMS		GO:0000154, GO:0001510, GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005886, GO:0006139, GO:0006364, GO:0006396, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0008168, GO:0008170, GO:0008173, GO:0008649, GO:0008757, GO:0009451, GO:0009987, GO:0010467, GO:0016020, GO:0016070, GO:0016072, GO:0016434, GO:0016740, GO:0016741, GO:0022613, GO:0031167, GO:0032259, GO:0034470, GO:0034641, GO:0034660, GO:0040007, GO:0042254, GO:0043170, GO:0043412, GO:0043414, GO:0044085, GO:0044237, GO:0044238, GO:0044260, GO:0044424, GO:0044464, GO:0046483, GO:0070475, GO:0071424, GO:0071704, GO:0071840, GO:0071944, GO:0090304, GO:1901360	0
-81	EGGNOG_BACT	155864.Z0093	Essential cell division protein. May link together the upstream cell division proteins, which are predominantly cytoplasmic, with the downstream cell division proteins, which are predominantly periplasmic (By similarity)	1.7e-79
-81	COG_FUNCTION	COG3116	Cell division protein FtsL, interacts with FtsB, FtsL and FtsQ	0
-81	COG_CATEGORY		D	0
-81	GO_TERMS		GO:0000003, GO:0000910, GO:0005575, GO:0005623, GO:0005886, GO:0005887, GO:0007049, GO:0008150, GO:0009987, GO:0016020, GO:0016021, GO:0019954, GO:0022402, GO:0031224, GO:0031226, GO:0032153, GO:0032155, GO:0032505, GO:0043093, GO:0044425, GO:0044459, GO:0044464, GO:0044699, GO:0044763, GO:0051301, GO:0071944	0
-82	EGGNOG_BACT	155864.Z0094	peptidoglycan synthetase ftsI	0
-82	COG_FUNCTION	COG0768	Cell division protein FtsI/penicillin-binding protein 2	0
-82	COG_CATEGORY		M	0
-82	GO_TERMS		GO:0000003, GO:0000270, GO:0000910, GO:0003674, GO:0003824, GO:0005488, GO:0005575, GO:0005576, GO:0005618, GO:0005623, GO:0005886, GO:0005887, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0007049, GO:0008144, GO:0008150, GO:0008152, GO:0008658, GO:0008955, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009274, GO:0009276, GO:0009987, GO:0016020, GO:0016021, GO:0016740, GO:0016757, GO:0016758, GO:0019954, GO:0022402, GO:0030203, GO:0030312, GO:0030313, GO:0031224, GO:0031226, GO:0031406, GO:0031975, GO:0032153, GO:0032155, GO:0032505, GO:0033218, GO:0033293, GO:0034645, GO:0040007, GO:0042221, GO:0042493, GO:0042546, GO:0043093, GO:0043167, GO:0043168, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044425, GO:0044459, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0050896, GO:0051301, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:0071944, GO:0097159, GO:1901135, GO:1901137, GO:1901363, GO:1901564, GO:1901566, GO:1901576, GO:1901681	0
-82	KEGG_PATHWAYS		map00550, map01100	0
-83	EGGNOG_BACT	469008.B21_00085	Catalyzes the addition of meso-diaminopimelic acid to the nucleotide precursor UDP-N-acetylmuramoyl-L-alanyl-D-glutamate (UMAG) in the biosynthesis of bacterial cell-wall peptidoglycan (By similarity)	0
-83	COG_FUNCTION	COG0769	UDP-N-acetylmuramyl tripeptide synthase	0
-83	COG_CATEGORY		M	0
-83	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008765, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016874, GO:0016879, GO:0016881, GO:0030203, GO:0034645, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0047482, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-83	KEGG_PATHWAYS		map00300, map00550, map01100	0
-84	EGGNOG_BACT	469008.B21_00086	Involved in cell wall formation. Catalyzes the final step in the synthesis of UDP-N-acetylmuramoyl-pentapeptide, the precursor of murein (By similarity)	3.8e-297
-84	COG_FUNCTION	COG0770	UDP-N-acetylmuramyl pentapeptide synthase	0
-84	COG_CATEGORY		M	0
-84	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005618, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009274, GO:0009276, GO:0009987, GO:0016874, GO:0016879, GO:0016881, GO:0030203, GO:0030312, GO:0030313, GO:0031975, GO:0034645, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0047480, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:0071944, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-84	KEGG_PATHWAYS		map00300, map00550, map01100	0
-85	EGGNOG_BACT	198214.SF0084	First step of the lipid cycle reactions in the biosynthesis of the cell wall peptidoglycan (By similarity)	6.1e-240
-85	COG_FUNCTION	COG0472	UDP-N-acetylmuramyl pentapeptide phosphotransferase/UDP-N-acetylglucosamine-1-phosphate transferase	0
-85	COG_CATEGORY		M	0
-85	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005623, GO:0005886, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008963, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016020, GO:0016740, GO:0016772, GO:0016780, GO:0030203, GO:0034645, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:0071944, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-85	KEGG_PATHWAYS		map00550, map01100	0
-86	EGGNOG_BACT	316385.ECDH10B_0070	Cell wall formation. Catalyzes the addition of glutamate to the nucleotide precursor UDP-N-acetylmuramoyl-L-alanine (UMA) (By similarity)	1.8e-296
-86	COG_FUNCTION	COG0771	UDP-N-acetylmuramoylalanine-D-glutamate ligase	0
-86	COG_CATEGORY		M	0
-86	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008764, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016874, GO:0016879, GO:0016881, GO:0030203, GO:0034645, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-86	KEGG_PATHWAYS		map00471, map00550, map01100	0
-87	EGGNOG_BACT	199310.c0107	Essential cell division protein. Transports lipid-linked peptidoglycan precursors from the inner to the outer leaflet of the cytoplasmic membrane (By similarity)	4.1e-271
-87	COG_FUNCTION	COG0772	Bacterial cell division protein FtsW, lipid II flippase	0
-87	COG_CATEGORY		D	0
-87	GO_TERMS		GO:0000003, GO:0000910, GO:0003674, GO:0005215, GO:0005575, GO:0005623, GO:0005886, GO:0005887, GO:0006810, GO:0007049, GO:0008150, GO:0008360, GO:0009987, GO:0015647, GO:0015648, GO:0015835, GO:0015836, GO:0016020, GO:0016021, GO:0019954, GO:0022402, GO:0022603, GO:0022604, GO:0022892, GO:0031224, GO:0031226, GO:0032153, GO:0032155, GO:0032505, GO:0043093, GO:0044425, GO:0044459, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0050789, GO:0050793, GO:0050794, GO:0051128, GO:0051179, GO:0051234, GO:0051301, GO:0065007, GO:0065008, GO:0071702, GO:0071705, GO:0071944, GO:1901264, GO:1901505	0
-87	KEGG_PATHWAYS		map04112	0
-88	EGGNOG_BACT	316385.ECDH10B_0072	Cell wall formation. Catalyzes the transfer of a GlcNAc subunit on undecaprenyl-pyrophosphoryl-MurNAc-pentapeptide (lipid intermediate I) to form undecaprenyl-pyrophosphoryl-MurNAc- (pentapeptide)GlcNAc (lipid intermediate II) (By similarity)	4.2e-237
-88	COG_FUNCTION	COG0707	UDP-N-acetylglucosamine:LPS N-acetylglucosamine transferase	0
-88	COG_CATEGORY		M	0
-88	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005623, GO:0005886, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008194, GO:0008375, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016020, GO:0016740, GO:0016757, GO:0016758, GO:0030203, GO:0034645, GO:0040007, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0050511, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:0071944, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-88	KEGG_PATHWAYS		map00550, map01100, map04112	0
-89	EGGNOG_BACT	155864.Z0101	Cell wall formation (By similarity)	0
-89	COG_FUNCTION	COG0773	UDP-N-acetylmuramate-alanine ligase	0
-89	COG_CATEGORY		M	0
-89	GO_TERMS		GO:0000166, GO:0000270, GO:0000287, GO:0001882, GO:0001883, GO:0003674, GO:0003824, GO:0005488, GO:0005524, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008763, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016874, GO:0016879, GO:0016881, GO:0017076, GO:0030203, GO:0030554, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032559, GO:0034645, GO:0035639, GO:0036094, GO:0040007, GO:0042546, GO:0043167, GO:0043168, GO:0043169, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0046872, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:0097159, GO:1901135, GO:1901137, GO:1901265, GO:1901363, GO:1901564, GO:1901566, GO:1901576	0
-89	KEGG_PATHWAYS		map00471, map00473, map00550, map01100	0
-90	EGGNOG_BACT	469008.B21_00092	Cell wall formation (By similarity)	2.2e-202
-90	COG_FUNCTION	COG1181	D-alanine-D-alanine ligase and related ATP-grasp enzymes	0
-90	COG_CATEGORY		M	0
-90	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008716, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016874, GO:0016879, GO:0016881, GO:0030203, GO:0034645, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-90	KEGG_PATHWAYS		map00473, map00550, map01100	0
-91	EGGNOG_BACT	155864.Z0103	Essential cell division protein. May link together the upstream cell division proteins, which are predominantly cytoplasmic, with the downstream cell division proteins, which are predominantly periplasmic. May control correct divisome assembly (By similarity)	7.7e-187
-91	COG_FUNCTION	COG1589	Cell division septal protein FtsQ	0
-91	COG_CATEGORY		M	0
-91	GO_TERMS		GO:0000003, GO:0000910, GO:0000917, GO:0005575, GO:0005623, GO:0005886, GO:0005887, GO:0007049, GO:0008150, GO:0009987, GO:0016020, GO:0016021, GO:0016043, GO:0019954, GO:0022402, GO:0022607, GO:0031224, GO:0031226, GO:0032153, GO:0032155, GO:0032505, GO:0032506, GO:0043093, GO:0044085, GO:0044425, GO:0044459, GO:0044464, GO:0044699, GO:0044763, GO:0051301, GO:0071840, GO:0071944, GO:0090529	0
-91	KEGG_PATHWAYS		map04112	0
-92	EGGNOG_BACT	155864.Z0104	This protein may be involved in anomalous filament growth. May be a component of the septum (By similarity)	4.4e-281
-92	COG_FUNCTION	COG0849	Cell division ATPase FtsA	0
-92	COG_CATEGORY		D	0
-92	GO_TERMS		GO:0000166, GO:0000910, GO:0001882, GO:0001883, GO:0003674, GO:0005488, GO:0005515, GO:0005524, GO:0005575, GO:0005623, GO:0005886, GO:0007049, GO:0008150, GO:0009898, GO:0009987, GO:0016020, GO:0017076, GO:0022402, GO:0030554, GO:0032153, GO:0032155, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032559, GO:0035639, GO:0036094, GO:0042802, GO:0043167, GO:0043168, GO:0044425, GO:0044459, GO:0044464, GO:0044699, GO:0044763, GO:0051301, GO:0071944, GO:0097159, GO:1901265, GO:1901363	0
-92	KEGG_PATHWAYS		map04112	0
-93	EGGNOG_BACT	155864.Z0105	Essential cell division protein that forms a contractile ring structure (Z ring) at the future cell division site. The regulation of the ring assembly controls the timing and the location of cell division. One of the functions of the FtsZ ring is to recruit other cell division proteins to the septum to produce a new cell wall between the dividing cells. Binds GTP and shows GTPase activity (By similarity)	2.7e-247
-93	COG_FUNCTION	COG0206	Cell division GTPase FtsZ	0
-93	COG_CATEGORY		D	0
-93	GO_TERMS		GO:0000166, GO:0000287, GO:0000910, GO:0000917, GO:0001882, GO:0001883, GO:0003674, GO:0003824, GO:0003924, GO:0005488, GO:0005525, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005886, GO:0006139, GO:0006152, GO:0006163, GO:0006184, GO:0006195, GO:0006461, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0007049, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009164, GO:0009166, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009987, GO:0016020, GO:0016043, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0017076, GO:0017111, GO:0019001, GO:0019439, GO:0019637, GO:0019693, GO:0022402, GO:0022607, GO:0032153, GO:0032155, GO:0032506, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032561, GO:0034622, GO:0034641, GO:0034655, GO:0035639, GO:0036094, GO:0040007, GO:0042278, GO:0042454, GO:0043167, GO:0043168, GO:0043169, GO:0043623, GO:0043933, GO:0044085, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0046039, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0046872, GO:0051258, GO:0051301, GO:0055086, GO:0065003, GO:0070271, GO:0071704, GO:0071822, GO:0071840, GO:0071944, GO:0072521, GO:0072523, GO:0090529, GO:0097159, GO:1901068, GO:1901069, GO:1901135, GO:1901136, GO:1901265, GO:1901292, GO:1901360, GO:1901361, GO:1901363, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658	0
-93	KEGG_PATHWAYS		map04112	0
-94	EGGNOG_BACT	155864.Z0106	involved in the biosynthesis of lipid A, a phosphorylated glycolipid that anchors the lipopolysaccharide to the outer membrane of the cell (By similarity)	2.5e-210
-94	COG_FUNCTION	COG0774	UDP-3-O-acyl-N-acetylglucosamine deacetylase	0
-94	COG_CATEGORY		M	0
-94	GO_TERMS		GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005975, GO:0006629, GO:0006643, GO:0006644, GO:0006664, GO:0006793, GO:0006796, GO:0008150, GO:0008152, GO:0008610, GO:0008654, GO:0008759, GO:0009058, GO:0009245, GO:0009247, GO:0009311, GO:0009312, GO:0009987, GO:0016051, GO:0016787, GO:0016810, GO:0016811, GO:0019213, GO:0019637, GO:0044237, GO:0044238, GO:0044249, GO:0044255, GO:0044424, GO:0044464, GO:0044710, GO:0044723, GO:0046467, GO:0046493, GO:0071704, GO:0090407, GO:1901135, GO:1901137, GO:1901269, GO:1901271, GO:1901576	0
-94	KEGG_PATHWAYS		map00061, map00540, map01100	0
-95	EGGNOG_BACT	198214.SF0094	Regulates secA expression by translational coupling of the secM secA operon. Translational pausing at a specific Pro residue 5 residues before the end of the protein may allow disruption of a mRNA repressor helix that normally suppresses secA translation initiation (By similarity)	1.7e-135
-95	COG_CATEGORY		K	0
-95	GO_TERMS		GO:0003674, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006417, GO:0008150, GO:0009889, GO:0010468, GO:0010556, GO:0010608, GO:0019222, GO:0031323, GO:0031326, GO:0032268, GO:0042597, GO:0044424, GO:0044444, GO:0044464, GO:0045182, GO:0050789, GO:0050794, GO:0051246, GO:0060255, GO:0065007, GO:0080090, GO:2000112	0
-95	KEGG_PATHWAYS		map03060, map03070	0
-96	EGGNOG_BACT	316385.ECDH10B_0080	Part of the Sec protein translocase complex. Interacts with the SecYEG preprotein conducting channel. Has a central role in coupling the hydrolysis of ATP to the transfer of proteins into and across the cell membrane, serving both as a receptor for the preprotein-SecB complex and as an ATP-driven molecular motor driving the stepwise translocation of polypeptide chains across the membrane (By similarity)	0
-96	COG_FUNCTION	COG0653	Preprotein translocase subunit SecA (ATPase, RNA helicase)	0
-96	COG_CATEGORY		U	0
-96	GO_TERMS		GO:0000166, GO:0001882, GO:0001883, GO:0003674, GO:0003824, GO:0005488, GO:0005524, GO:0005575, GO:0005576, GO:0005618, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0005886, GO:0006139, GO:0006152, GO:0006163, GO:0006195, GO:0006200, GO:0006605, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0006810, GO:0006886, GO:0006950, GO:0006952, GO:0008104, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009123, GO:0009125, GO:0009126, GO:0009128, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009158, GO:0009161, GO:0009164, GO:0009166, GO:0009167, GO:0009169, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009306, GO:0009579, GO:0009607, GO:0009987, GO:0015031, GO:0016020, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0016887, GO:0017076, GO:0017111, GO:0019439, GO:0019637, GO:0019693, GO:0020012, GO:0030312, GO:0030554, GO:0030682, GO:0031522, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032559, GO:0032940, GO:0032991, GO:0033036, GO:0034357, GO:0034613, GO:0034641, GO:0034655, GO:0035639, GO:0036094, GO:0040007, GO:0042278, GO:0042454, GO:0042651, GO:0043167, GO:0043168, GO:0043234, GO:0043952, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044403, GO:0044413, GO:0044415, GO:0044419, GO:0044424, GO:0044436, GO:0044444, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0044765, GO:0045184, GO:0046034, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0046903, GO:0046907, GO:0050896, GO:0051179, GO:0051234, GO:0051641, GO:0051649, GO:0051701, GO:0051704, GO:0051707, GO:0051805, GO:0051807, GO:0051832, GO:0051834, GO:0052059, GO:0052173, GO:0052200, GO:0052385, GO:0052550, GO:0052564, GO:0052567, GO:0052572, GO:0055085, GO:0055086, GO:0065002, GO:0070727, GO:0071702, GO:0071704, GO:0071806, GO:0071944, GO:0072521, GO:0072523, GO:0075136, GO:0097159, GO:1901135, GO:1901136, GO:1901265, GO:1901292, GO:1901360, GO:1901361, GO:1901363, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658	0
-96	KEGG_PATHWAYS		map03060, map03070	0
-97	EGGNOG_BACT	316385.ECDH10B_0081	mutator MutT protein	2.1e-89
-97	COG_FUNCTION	COG0494	8-oxo-dGTP pyrophosphatase MutT and related house-cleaning NTP pyrophosphohydrolases, NUDIX family	0
-97	COG_CATEGORY		L	0
-97	GO_TERMS		GO:0000287, GO:0003674, GO:0003824, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006139, GO:0006259, GO:0006281, GO:0006725, GO:0006807, GO:0006950, GO:0006974, GO:0008150, GO:0008152, GO:0008413, GO:0009987, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0030145, GO:0033554, GO:0034641, GO:0043167, GO:0043169, GO:0043170, GO:0044237, GO:0044238, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044763, GO:0046483, GO:0046872, GO:0046914, GO:0047429, GO:0050896, GO:0051716, GO:0071704, GO:0090304, GO:1901360	0
-98	EGGNOG_BACT	155864.Z0111	Inhibits all the catalytic activities of DNA gyrase by preventing its interaction with DNA. Acts by binding directly to the C-terminal domain of GyrB, which probably disrupts DNA binding by the gyrase (By similarity)	1.2e-45
-98	COG_FUNCTION	COG3024	Endogenous inhibitor of DNA gyrase, YacG/DUF329 family	0
-98	COG_CATEGORY		S	0
-98	GO_TERMS		GO:0003674, GO:0004857, GO:0005488, GO:0006140, GO:0008150, GO:0008270, GO:0008657, GO:0009118, GO:0009894, GO:0010911, GO:0019219, GO:0019220, GO:0019222, GO:0030234, GO:0030811, GO:0031323, GO:0031329, GO:0032780, GO:0033121, GO:0042030, GO:0043086, GO:0043167, GO:0043169, GO:0043462, GO:0044092, GO:0046872, GO:0046914, GO:0050789, GO:0050790, GO:0050794, GO:0051171, GO:0051174, GO:0051336, GO:0051346, GO:0060589, GO:0060590, GO:0065007, GO:0065009, GO:0072586, GO:0080090, GO:1900542, GO:2000371, GO:2000372	0
-99	EGGNOG_BACT	316385.ECDH10B_0083	Cell division factor that enhances FtsZ-ring assembly. Directly interacts with FtsZ and promotes bundling of FtsZ protofilaments, with a reduction in FtsZ GTPase activity (By similarity)	3.1e-168
-99	COG_FUNCTION	COG4582	Cell division protein ZapD, interacts with FtsZ	0
-99	COG_CATEGORY		S	0
-99	GO_TERMS		GO:0000003, GO:0000910, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0007049, GO:0008150, GO:0009987, GO:0019954, GO:0022402, GO:0032153, GO:0032505, GO:0043093, GO:0044424, GO:0044464, GO:0044699, GO:0044763, GO:0051301	0
-100	EGGNOG_BACT	155864.Z0113	Catalyzes the phosphorylation of the 3'-hydroxyl group of dephosphocoenzyme A to form coenzyme A (By similarity)	3e-134
-100	COG_FUNCTION	COG0237	Dephospho-CoA kinase	0
-100	COG_CATEGORY		H	0
-100	GO_TERMS		GO:0000166, GO:0001882, GO:0001884, GO:0002135, GO:0003674, GO:0003824, GO:0004140, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006139, GO:0006163, GO:0006164, GO:0006725, GO:0006732, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0009058, GO:0009108, GO:0009116, GO:0009117, GO:0009119, GO:0009150, GO:0009152, GO:0009163, GO:0009165, GO:0009259, GO:0009260, GO:0009987, GO:0015936, GO:0015937, GO:0016301, GO:0016310, GO:0016740, GO:0016772, GO:0016773, GO:0017076, GO:0018130, GO:0019103, GO:0019438, GO:0019637, GO:0019693, GO:0030554, GO:0032549, GO:0032551, GO:0032552, GO:0032553, GO:0032554, GO:0032557, GO:0032558, GO:0032564, GO:0033865, GO:0033866, GO:0033875, GO:0034030, GO:0034032, GO:0034033, GO:0034641, GO:0034654, GO:0036094, GO:0040007, GO:0042278, GO:0042451, GO:0042455, GO:0043167, GO:0043168, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0046128, GO:0046129, GO:0046390, GO:0046483, GO:0051186, GO:0051188, GO:0055086, GO:0071704, GO:0072521, GO:0072522, GO:0090407, GO:0097159, GO:1901135, GO:1901137, GO:1901265, GO:1901293, GO:1901360, GO:1901362, GO:1901363, GO:1901564, GO:1901566, GO:1901576, GO:1901657, GO:1901659	0
-100	KEGG_PATHWAYS		map00770, map01100	0
-101	EGGNOG_BACT	469008.B21_00103	Catalyzes the conversion of inosine 5'-phosphate (IMP) to xanthosine 5'-phosphate (XMP), the first committed and rate- limiting step in the de novo synthesis of guanine nucleotides, and therefore plays an important role in the regulation of cell growth (By similarity)	5e-236
-101	COG_FUNCTION	COG0516	IMP dehydrogenase/GMP reductase	0
-101	COG_CATEGORY		F	0
-101	GO_TERMS		GO:0003674, GO:0003824, GO:0003920, GO:0005488, GO:0005515, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006139, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0009987, GO:0015949, GO:0016491, GO:0016651, GO:0016657, GO:0034641, GO:0042802, GO:0044237, GO:0044238, GO:0044281, GO:0044424, GO:0044464, GO:0044710, GO:0046483, GO:0055086, GO:0055114, GO:0071704, GO:1901360	0
-101	KEGG_PATHWAYS		map00230, map00983, map01100, map01110	0
-102	EGGNOG_BACT	316385.ECDH10B_0086	type IV pilin biogenesis protein	2.4e-267
-102	COG_FUNCTION	COG1459	Type II secretory pathway, component PulF	0
-102	COG_CATEGORY		U	0
-102	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0006810, GO:0008104, GO:0008150, GO:0009297, GO:0009306, GO:0009987, GO:0015031, GO:0015628, GO:0016020, GO:0016043, GO:0022607, GO:0030030, GO:0030031, GO:0030255, GO:0032940, GO:0033036, GO:0043711, GO:0044085, GO:0044097, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0045184, GO:0046903, GO:0051179, GO:0051234, GO:0051641, GO:0051649, GO:0055085, GO:0071702, GO:0071806, GO:0071840, GO:0071944	0
-102	KEGG_PATHWAYS		map03070	0
-103	EGGNOG_BACT	316385.ECDH10B_0087	pathway protein e	0
-103	COG_FUNCTION	COG2804	Type II secretory pathway ATPase GspE/PulE or T4P pilus assembly pathway ATPase PilB	0
-103	COG_CATEGORY		U	0
-103	GO_TERMS		GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006276, GO:0006810, GO:0008104, GO:0008150, GO:0009297, GO:0009306, GO:0009987, GO:0015031, GO:0015628, GO:0016043, GO:0022607, GO:0030030, GO:0030031, GO:0032940, GO:0033036, GO:0043711, GO:0044085, GO:0044424, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0045184, GO:0046903, GO:0051179, GO:0051234, GO:0051641, GO:0051649, GO:0055085, GO:0071702, GO:0071806, GO:0071840	0
-103	KEGG_PATHWAYS		map03070	0
-104	EGGNOG_BACT	316385.ECDH10B_0088	Major pilin subunit	2.4e-99
-104	COG_FUNCTION	COG4969	Tfp pilus assembly protein, major pilin PilA	0
-104	COG_CATEGORY		U	0
-104	GO_TERMS		GO:0003674, GO:0005198, GO:0005575, GO:0005623, GO:0008150, GO:0009289, GO:0009987, GO:0016043, GO:0030030, GO:0042995, GO:0044464, GO:0044699, GO:0044763, GO:0071840	0
-104	KEGG_PATHWAYS		map02020	0
-105	EGGNOG_BACT	316385.ECDH10B_0089	nicotinate-nucleotide pyrophosphorylase	4.9e-198
-105	COG_FUNCTION	COG0157	Nicotinate-nucleotide pyrophosphorylase	0
-105	COG_CATEGORY		H	0
-105	GO_TERMS		GO:0003674, GO:0003824, GO:0004514, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006139, GO:0006520, GO:0006531, GO:0006725, GO:0006732, GO:0006733, GO:0006734, GO:0006739, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0009058, GO:0009066, GO:0009108, GO:0009117, GO:0009165, GO:0009435, GO:0009987, GO:0016740, GO:0016757, GO:0016763, GO:0018130, GO:0019355, GO:0019359, GO:0019362, GO:0019363, GO:0019438, GO:0019637, GO:0019674, GO:0019752, GO:0034627, GO:0034628, GO:0034641, GO:0034654, GO:0043436, GO:0043648, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044424, GO:0044464, GO:0044710, GO:0046483, GO:0046496, GO:0051186, GO:0051188, GO:0055086, GO:0071704, GO:0072524, GO:0072525, GO:0090407, GO:1901293, GO:1901360, GO:1901362, GO:1901564, GO:1901566, GO:1901576, GO:1901605	0
-105	KEGG_PATHWAYS		map00760, map01100	0
-106	EGGNOG_BACT	316385.ECDH10B_0090	N-Acetylmuramoyl-L-alanine amidase	4.6e-132
-106	COG_FUNCTION	COG3023	N-acetyl-anhydromuramyl-L-alanine amidase AmpD	0
-106	COG_CATEGORY		M	0
-106	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005488, GO:0005575, GO:0005618, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006026, GO:0006027, GO:0006807, GO:0008150, GO:0008152, GO:0008270, GO:0008745, GO:0009056, GO:0009057, GO:0009253, GO:0009254, GO:0009274, GO:0009276, GO:0009279, GO:0009392, GO:0016020, GO:0016787, GO:0016810, GO:0016811, GO:0019867, GO:0030203, GO:0030312, GO:0030313, GO:0031975, GO:0043167, GO:0043169, GO:0043170, GO:0044424, GO:0044462, GO:0044464, GO:0046872, GO:0046914, GO:0071704, GO:0071944, GO:1901135, GO:1901136, GO:1901564, GO:1901565, GO:1901575	0
-107	EGGNOG_BACT	198214.SF0108	regulatory protein AmpE	9.5e-194
-107	COG_FUNCTION	COG3725	Membrane protein required for beta-lactamase induction	0
-107	COG_CATEGORY		V	0
-107	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0016020, GO:0044464, GO:0071944	0
-108	EGGNOG_BACT	665029.EAMY_2839	amino acid	3.4e-266
-108	COG_FUNCTION	COG1113	L-asparagine transporter and related permeases	0
-108	COG_CATEGORY		E	0
-109	EGGNOG_BACT	155864.Z0123	transcriptional regulator	1e-162
-109	COG_FUNCTION	COG2186	DNA-binding transcriptional regulator, FadR family	0
-109	COG_CATEGORY		K	0
-109	GO_TERMS		GO:0001071, GO:0003674, GO:0003700, GO:0006355, GO:0008150, GO:0009889, GO:0009890, GO:0009891, GO:0009892, GO:0009893, GO:0010468, GO:0010556, GO:0010557, GO:0010558, GO:0010604, GO:0010605, GO:0010628, GO:0010629, GO:0019219, GO:0019222, GO:0031323, GO:0031324, GO:0031325, GO:0031326, GO:0031327, GO:0031328, GO:0045892, GO:0045893, GO:0045934, GO:0045935, GO:0048518, GO:0048519, GO:0048522, GO:0048523, GO:0050789, GO:0050794, GO:0051171, GO:0051172, GO:0051173, GO:0051252, GO:0051253, GO:0051254, GO:0060255, GO:0065007, GO:0080090, GO:2000112, GO:2000113, GO:2001141	0
-110	EGGNOG_BACT	469008.B21_00112	Component of the pyruvate dehydrogenase (PDH) complex, that catalyzes the overall conversion of pyruvate to acetyl-CoA and CO(2) (By similarity)	0
-110	COG_FUNCTION	COG2609	Pyruvate dehydrogenase complex, dehydrogenase (E1) component	0
-110	COG_CATEGORY		C	0
-110	GO_TERMS		GO:0003674, GO:0003824, GO:0004738, GO:0004739, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006082, GO:0006084, GO:0006085, GO:0006086, GO:0006090, GO:0006637, GO:0006732, GO:0006793, GO:0008150, GO:0008152, GO:0009058, GO:0009108, GO:0009987, GO:0016020, GO:0016491, GO:0016624, GO:0016903, GO:0019752, GO:0032787, GO:0032991, GO:0035383, GO:0035384, GO:0043234, GO:0043436, GO:0044237, GO:0044249, GO:0044281, GO:0044424, GO:0044444, GO:0044445, GO:0044464, GO:0044710, GO:0045250, GO:0045254, GO:0051186, GO:0051188, GO:0055114, GO:0071616, GO:0071704, GO:1901576	0
-110	KEGG_PATHWAYS		map00010, map00020, map00620, map00650, map01100, map01110, map01120	0
-111	EGGNOG_BACT	316385.ECDH10B_0095	dihydrolipoamide acetyltransferase	0
-111	COG_FUNCTION	COG0508	Pyruvate/2-oxoglutarate dehydrogenase complex, dihydrolipoamide acyltransferase (E2) component	0
-111	COG_CATEGORY		C	0
-111	GO_TERMS		GO:0003674, GO:0003824, GO:0004742, GO:0005488, GO:0005504, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006082, GO:0006084, GO:0006085, GO:0006086, GO:0006090, GO:0006637, GO:0006732, GO:0006793, GO:0008150, GO:0008152, GO:0008289, GO:0009058, GO:0009108, GO:0009987, GO:0016407, GO:0016417, GO:0016418, GO:0016740, GO:0016746, GO:0016747, GO:0019752, GO:0030523, GO:0031405, GO:0031406, GO:0032787, GO:0032991, GO:0033293, GO:0035383, GO:0035384, GO:0043167, GO:0043168, GO:0043234, GO:0043436, GO:0044237, GO:0044249, GO:0044281, GO:0044424, GO:0044444, GO:0044445, GO:0044464, GO:0044710, GO:0045250, GO:0045254, GO:0048037, GO:0050662, GO:0051186, GO:0051188, GO:0071616, GO:0071704, GO:0097159, GO:1901363, GO:1901576, GO:1901681	0
-111	KEGG_PATHWAYS		map00010, map00020, map00620, map01100, map01110, map01120	0
-112	EGGNOG_BACT	155864.Z0126	dihydrolipoyl dehydrogenase	0
-112	COG_FUNCTION	COG1249	Pyruvate/2-oxoglutarate dehydrogenase complex, dihydrolipoamide dehydrogenase (E3) component or related enzyme	0
-112	COG_CATEGORY		C	0
-112	GO_TERMS		GO:0000166, GO:0003674, GO:0003824, GO:0004148, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0005886, GO:0006082, GO:0006084, GO:0006085, GO:0006086, GO:0006090, GO:0006103, GO:0006520, GO:0006544, GO:0006546, GO:0006637, GO:0006732, GO:0006793, GO:0006807, GO:0008150, GO:0008152, GO:0008270, GO:0009056, GO:0009058, GO:0009063, GO:0009069, GO:0009071, GO:0009108, GO:0009987, GO:0015036, GO:0016020, GO:0016054, GO:0016491, GO:0016651, GO:0016667, GO:0016668, GO:0019464, GO:0019752, GO:0032787, GO:0032991, GO:0035383, GO:0035384, GO:0036094, GO:0043167, GO:0043168, GO:0043169, GO:0043234, GO:0043436, GO:0043648, GO:0044237, GO:0044238, GO:0044248, GO:0044249, GO:0044281, GO:0044282, GO:0044424, GO:0044444, GO:0044445, GO:0044464, GO:0044710, GO:0044712, GO:0045250, GO:0045254, GO:0046395, GO:0046872, GO:0046914, GO:0048037, GO:0050660, GO:0050662, GO:0051186, GO:0051188, GO:0055114, GO:0071616, GO:0071704, GO:0071944, GO:0097159, GO:1901265, GO:1901363, GO:1901564, GO:1901565, GO:1901575, GO:1901576, GO:1901605, GO:1901606	0
-112	KEGG_PATHWAYS		map00010, map00020, map00260, map00280, map00620, map01100, map01110, map01120	0
-113	EGGNOG_BACT	469008.B21_00115	exported protein	0
-113	COG_CATEGORY		S	0
-114	EGGNOG_BACT	316385.ECDH10B_0098	Aconitate hydratase 2	0
-114	COG_FUNCTION	COG1049	Aconitase B	0
-114	COG_CATEGORY		C	0
-114	GO_TERMS		GO:0003674, GO:0003676, GO:0003723, GO:0003729, GO:0003730, GO:0003824, GO:0003994, GO:0005488, GO:0005975, GO:0006081, GO:0006082, GO:0006091, GO:0006097, GO:0006099, GO:0006417, GO:0006629, GO:0006631, GO:0008150, GO:0008152, GO:0009056, GO:0009060, GO:0009062, GO:0009889, GO:0009987, GO:0010468, GO:0010556, GO:0010608, GO:0015980, GO:0016042, GO:0016054, GO:0016829, GO:0016835, GO:0016836, GO:0019222, GO:0019541, GO:0019543, GO:0019626, GO:0019629, GO:0019752, GO:0031323, GO:0031326, GO:0032268, GO:0032787, GO:0043436, GO:0044237, GO:0044238, GO:0044242, GO:0044248, GO:0044255, GO:0044262, GO:0044281, GO:0044282, GO:0044710, GO:0044712, GO:0045333, GO:0046395, GO:0046459, GO:0046487, GO:0047456, GO:0050789, GO:0050794, GO:0051246, GO:0051536, GO:0051539, GO:0051540, GO:0055114, GO:0060255, GO:0065007, GO:0071704, GO:0072329, GO:0080090, GO:0097159, GO:1901363, GO:1901575, GO:2000112	0
-114	KEGG_PATHWAYS		map00020, map00630, map00640, map00720, map01100, map01110, map01120, map01210, map01230	0
-115	EGGNOG_BACT	155864.Z0129	UPF0231 protein	1.1e-81
-115	COG_FUNCTION	COG3112	Uncharacterized protein YacL, UPF0231 family	0
-115	COG_CATEGORY		S	0
-116	EGGNOG_BACT	155864.Z0130	Catalyzes the decarboxylation of S-adenosylmethionine to S-adenosylmethioninamine (dcAdoMet), the propylamine donor required for the synthesis of the polyamines spermine and spermidine from the diamine putrescine (By similarity)	5.2e-185
-116	COG_FUNCTION	COG1586	S-adenosylmethionine decarboxylase or arginine decarboxylase	0
-116	COG_CATEGORY		E	0
-116	GO_TERMS		GO:0003674, GO:0003824, GO:0004014, GO:0006576, GO:0006595, GO:0006596, GO:0006807, GO:0008150, GO:0008152, GO:0008216, GO:0008295, GO:0009058, GO:0009308, GO:0009309, GO:0009987, GO:0016829, GO:0016830, GO:0016831, GO:0034641, GO:0042401, GO:0044106, GO:0044237, GO:0044249, GO:0044271, GO:0071704, GO:1901564, GO:1901566, GO:1901576	0
-116	KEGG_PATHWAYS		map00270, map00330, map01100	0
-117	EGGNOG_BACT	675812.VHA_003120	Catalyzes the production of spermidine from putrescine and decarboxylated S-adenosylmethionine (dcSAM), which serves as an aminopropyl donor (By similarity)	5.5e-123
-117	COG_FUNCTION	COG0421	Spermidine synthase	0
-117	COG_CATEGORY		E	0
-118	EGGNOG_BACT	316385.ECDH10B_0102	uncharacterized protein yacC	8.9e-78
-118	COG_CATEGORY		S	0
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/functions/03-functions.txt b/anvio/tests/sandbox/mock_data_for_pangenomics/functions/03-functions.txt
deleted file mode 100644
index 83b18d075d..0000000000
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/functions/03-functions.txt
+++ /dev/null
@@ -1,485 +0,0 @@
-gene_callers_id	source	accession	function	e_value
-0	EGGNOG_BACT	469008.B21_00002	Aspartokinase	0
-0	COG_FUNCTION	COG0460, COG0527	Homoserine dehydrogenase; Aspartokinase	0
-0	COG_CATEGORY		E	0
-0	GO_TERMS		GO:0003674, GO:0003824, GO:0004072, GO:0004412, GO:0006082, GO:0006520, GO:0006553, GO:0006566, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009066, GO:0009067, GO:0009069, GO:0009070, GO:0009085, GO:0009088, GO:0009089, GO:0009090, GO:0009092, GO:0009987, GO:0016053, GO:0016301, GO:0016310, GO:0016491, GO:0016614, GO:0016616, GO:0016740, GO:0016772, GO:0016774, GO:0019202, GO:0019752, GO:0043436, GO:0043648, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0046451, GO:0055114, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-0	KEGG_PATHWAYS		map00260, map00270, map00300, map01100, map01110, map01120, map01210, map01230	0
-1	EGGNOG_BACT	469008.B21_00003	Catalyzes the ATP-dependent phosphorylation of L- homoserine to L-homoserine phosphate (By similarity)	3.9e-214
-1	COG_FUNCTION	COG0083	Homoserine kinase	0
-1	COG_CATEGORY		E	0
-1	GO_TERMS		GO:0003674, GO:0003824, GO:0004413, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006520, GO:0006566, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009066, GO:0009067, GO:0009088, GO:0009987, GO:0016053, GO:0016301, GO:0016310, GO:0016740, GO:0016772, GO:0016773, GO:0019202, GO:0019752, GO:0040007, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044464, GO:0044710, GO:0044711, GO:0046394, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-1	KEGG_PATHWAYS		map00260, map01100, map01120, map01230	0
-2	EGGNOG_BACT	155864.Z0004	threonine synthase	7e-292
-2	COG_FUNCTION	COG0498	Threonine synthase	0
-2	COG_CATEGORY		E	0
-2	GO_TERMS		GO:0003674, GO:0003824, GO:0004795, GO:0006082, GO:0006520, GO:0006566, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009066, GO:0009067, GO:0009088, GO:0009987, GO:0016053, GO:0016829, GO:0016835, GO:0016838, GO:0019752, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-2	KEGG_PATHWAYS		map00260, map00750, map01100, map01120, map01230	0
-3	COG_CATEGORY		S	0
-4	EGGNOG_BACT	198214.SF0006	UPF0246 protein	3.1e-173
-4	COG_FUNCTION	COG3022	Cytoplasmic iron level regulating protein YaaA, DUF328/UPF0246 family	0
-4	COG_CATEGORY		L	0
-4	GO_TERMS		GO:0006950, GO:0006979, GO:0008150, GO:0033194, GO:0042221, GO:0050896, GO:1901700	0
-5	EGGNOG_BACT	316385.ECDH10B_0007	amino acid carrier protein	0
-5	COG_FUNCTION	COG1115	Na+/alanine symporter	0
-5	COG_CATEGORY		E	0
-5	GO_TERMS		GO:0003333, GO:0003674, GO:0005215, GO:0005283, GO:0005294, GO:0005342, GO:0005343, GO:0005416, GO:0005575, GO:0005623, GO:0005886, GO:0006810, GO:0006811, GO:0006812, GO:0006814, GO:0006820, GO:0006865, GO:0008150, GO:0008324, GO:0008509, GO:0008514, GO:0009987, GO:0015075, GO:0015077, GO:0015081, GO:0015171, GO:0015175, GO:0015291, GO:0015293, GO:0015294, GO:0015370, GO:0015655, GO:0015672, GO:0015711, GO:0015804, GO:0015807, GO:0015808, GO:0015849, GO:0016020, GO:0022804, GO:0022857, GO:0022858, GO:0022890, GO:0022891, GO:0022892, GO:0030001, GO:0032328, GO:0034220, GO:0035725, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0046873, GO:0046942, GO:0046943, GO:0051179, GO:0051234, GO:0055085, GO:0071702, GO:0071705, GO:0071944	0
-6	EGGNOG_BACT	155864.Z0008	Transaldolase is important for the balance of metabolites in the pentose-phosphate pathway (By similarity)	6.1e-210
-6	COG_FUNCTION	COG0176	Transaldolase	0
-6	COG_CATEGORY		G	0
-6	GO_TERMS		GO:0003674, GO:0003824, GO:0004801, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0005975, GO:0005996, GO:0006006, GO:0006007, GO:0006098, GO:0006139, GO:0006725, GO:0006732, GO:0006733, GO:0006739, GO:0006740, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0009056, GO:0009117, GO:0009987, GO:0016020, GO:0016052, GO:0016740, GO:0016744, GO:0019318, GO:0019320, GO:0019362, GO:0019637, GO:0034641, GO:0044237, GO:0044238, GO:0044281, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0044723, GO:0044724, GO:0046365, GO:0046483, GO:0046496, GO:0051186, GO:0055086, GO:0055114, GO:0071704, GO:0072524, GO:1901360, GO:1901564, GO:1901575	0
-6	KEGG_PATHWAYS		map00030, map01100, map01110, map01120, map01230	0
-7	EGGNOG_BACT	718254.ENC_45330	Molybdenum cofactor synthesis domain protein	4.5e-117
-7	COG_FUNCTION	COG0521	Molybdopterin biosynthesis enzyme MoaB	0
-7	COG_CATEGORY		H	0
-7	KEGG_PATHWAYS		map00790, map01100, map04122	0
-8	EGGNOG_BACT	155864.Z0010	GPR1 FUN34 yaaH family protein	2.4e-121
-8	COG_FUNCTION	COG1584	Succinate-acetate transporter protein	0
-8	COG_CATEGORY		S	0
-8	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0016020, GO:0044464, GO:0071944	0
-9	EGGNOG_BACT	469008.B21_00011	UPF0174 protein YaaW	5.2e-158
-9	COG_FUNCTION	COG4735	Uncharacterized protein YaaW, UPF0174 family	0
-9	COG_CATEGORY		S	0
-10	EGGNOG_BACT	481805.EcolC_3643	UPF0412 protein YaaI	2.7e-89
-10	COG_CATEGORY		S	0
-11	EGGNOG_BACT	155864.Z0014	Acts as a chaperone (By similarity)	0
-11	COG_FUNCTION	COG0443	Molecular chaperone DnaK (HSP70)	0
-11	COG_CATEGORY		O	0
-11	GO_TERMS		GO:0003674, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005886, GO:0006457, GO:0006950, GO:0008150, GO:0008152, GO:0008270, GO:0009266, GO:0009408, GO:0009628, GO:0009987, GO:0016020, GO:0019538, GO:0043167, GO:0043169, GO:0043170, GO:0043335, GO:0044237, GO:0044238, GO:0044260, GO:0044267, GO:0044424, GO:0044464, GO:0046872, GO:0046914, GO:0050896, GO:0071704, GO:0071944	0
-11	KEGG_PATHWAYS		map03018, map05152	0
-12	EGGNOG_BACT	155864.Z0015	ATP binding to DnaK triggers the release of the substrate protein, thus completing the reaction cycle. Several rounds of ATP-dependent interactions between DnaJ, DnaK and GrpE are required for fully efficient folding. Also involved, together with DnaK and GrpE, in the DNA replication of plasmids through activation of initiation proteins (By similarity)	2.6e-254
-12	COG_FUNCTION	COG0484	DnaJ-class molecular chaperone with C-terminal Zn finger domain	0
-12	COG_CATEGORY		O	0
-12	GO_TERMS		GO:0003674, GO:0003756, GO:0003824, GO:0005488, GO:0005515, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006139, GO:0006259, GO:0006260, GO:0006457, GO:0006725, GO:0006807, GO:0006950, GO:0008150, GO:0008152, GO:0008270, GO:0009058, GO:0009059, GO:0009266, GO:0009408, GO:0009628, GO:0009987, GO:0016020, GO:0016853, GO:0016860, GO:0016862, GO:0016864, GO:0019538, GO:0034641, GO:0034645, GO:0042026, GO:0043167, GO:0043169, GO:0043170, GO:0043335, GO:0044237, GO:0044238, GO:0044249, GO:0044260, GO:0044267, GO:0044424, GO:0044464, GO:0046483, GO:0046872, GO:0046914, GO:0050896, GO:0051082, GO:0071704, GO:0090304, GO:1901360, GO:1901576	0
-13	EGGNOG_BACT	511145.b0018	cell killing protein encoded within cryptic prophage	6.5e-45
-13	COG_CATEGORY		S	0
-13	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0016020, GO:0044464, GO:0071944	0
-14	EGGNOG_BACT	469008.B21_00019	Na( ) H( ) antiporter that extrudes sodium in exchange for external protons (By similarity)	1.3e-247
-14	COG_FUNCTION	COG3004	Na+/H+ antiporter NhaA	0
-14	COG_CATEGORY		P	0
-14	GO_TERMS		GO:0003674, GO:0005215, GO:0005451, GO:0005575, GO:0005623, GO:0005886, GO:0006810, GO:0006811, GO:0006812, GO:0006814, GO:0006818, GO:0006873, GO:0006875, GO:0006883, GO:0008150, GO:0008324, GO:0009987, GO:0015075, GO:0015077, GO:0015078, GO:0015081, GO:0015291, GO:0015297, GO:0015298, GO:0015299, GO:0015385, GO:0015491, GO:0015672, GO:0015992, GO:0016020, GO:0019725, GO:0022804, GO:0022857, GO:0022890, GO:0022891, GO:0022892, GO:0030001, GO:0030003, GO:0030004, GO:0034220, GO:0035725, GO:0042592, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0046873, GO:0048878, GO:0050801, GO:0051179, GO:0051234, GO:0055065, GO:0055067, GO:0055078, GO:0055080, GO:0055082, GO:0055085, GO:0065007, GO:0065008, GO:0071944	0
-14	KEGG_PATHWAYS		map00680	0
-15	EGGNOG_BACT	469008.B21_00020	transcriptional regulator, lysR family	1.7e-207
-15	COG_FUNCTION	COG0583	DNA-binding transcriptional regulator, LysR family	0
-15	COG_CATEGORY		K	0
-15	GO_TERMS		GO:0001071, GO:0003674, GO:0003700, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006355, GO:0008150, GO:0009889, GO:0010468, GO:0010556, GO:0019219, GO:0019222, GO:0031323, GO:0031326, GO:0044424, GO:0044464, GO:0050789, GO:0050794, GO:0051171, GO:0051252, GO:0060255, GO:0065007, GO:0080090, GO:2000112, GO:2001141	0
-17	EGGNOG_BACT	469595.CSAG_01977	outer membrane usher protein	1.3e-159
-17	COG_FUNCTION	COG3188	Outer membrane usher protein FimD/PapC	0
-17	COG_CATEGORY		M	0
-17	GO_TERMS		GO:0005575, GO:0005623, GO:0006950, GO:0006974, GO:0008150, GO:0009279, GO:0009987, GO:0016020, GO:0019867, GO:0030312, GO:0030313, GO:0031975, GO:0033554, GO:0044462, GO:0044464, GO:0044699, GO:0044763, GO:0050896, GO:0051716, GO:0071944	0
-17	KEGG_PATHWAYS		map05133	0
-19	EGGNOG_BACT	272620.KPN_00018	(ribosomal) protein	2.3e-38
-19	COG_FUNCTION	COG0268	Ribosomal protein S20	0
-19	COG_CATEGORY		J	0
-19	KEGG_PATHWAYS		map03010	0
-20	EGGNOG_BACT	155864.Z0029	riboflavin biosynthesis protein ribF	3.2e-210
-20	COG_FUNCTION	COG0196	FAD synthase	0
-20	COG_CATEGORY		H	0
-20	GO_TERMS		GO:0003674, GO:0003824, GO:0003919, GO:0006139, GO:0006725, GO:0006732, GO:0006747, GO:0006753, GO:0006766, GO:0006767, GO:0006771, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008531, GO:0009058, GO:0009108, GO:0009110, GO:0009117, GO:0009123, GO:0009124, GO:0009156, GO:0009161, GO:0009165, GO:0009231, GO:0009259, GO:0009260, GO:0009398, GO:0009987, GO:0016301, GO:0016310, GO:0016740, GO:0016772, GO:0016773, GO:0016779, GO:0018130, GO:0019438, GO:0019637, GO:0019693, GO:0034641, GO:0034654, GO:0040007, GO:0042364, GO:0042726, GO:0042727, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046390, GO:0046443, GO:0046444, GO:0046483, GO:0051186, GO:0051188, GO:0055086, GO:0070566, GO:0071704, GO:0072387, GO:0072388, GO:0090407, GO:1901135, GO:1901137, GO:1901293, GO:1901360, GO:1901362, GO:1901564, GO:1901566, GO:1901576	0
-20	KEGG_PATHWAYS		map00740, map01100	0
-21	EGGNOG_BACT	316385.ECDH10B_0027	amino acids such as valine, to avoid such errors it has two additional distinct tRNA(Ile)-dependent editing activities. One activity is designated as 'pretransfer' editing and involves the hydrolysis of activated Val-AMP. The other activity is designated 'posttransfer' editing and involves deacylation of mischarged Val-tRNA(Ile) (By similarity)	0
-21	COG_FUNCTION	COG0060	Isoleucyl-tRNA synthetase	0
-21	COG_CATEGORY		J	0
-21	GO_TERMS		GO:0003674, GO:0003824, GO:0004812, GO:0004822, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006139, GO:0006399, GO:0006412, GO:0006418, GO:0006428, GO:0006520, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0009058, GO:0009059, GO:0009987, GO:0010467, GO:0016070, GO:0016874, GO:0016875, GO:0016876, GO:0019538, GO:0019752, GO:0034641, GO:0034645, GO:0034660, GO:0043038, GO:0043039, GO:0043170, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044260, GO:0044267, GO:0044281, GO:0044424, GO:0044464, GO:0044710, GO:0046483, GO:0071704, GO:0090304, GO:1901360, GO:1901564, GO:1901576	0
-21	KEGG_PATHWAYS		map00970	0
-22	EGGNOG_BACT	199310.c0031	This protein specifically catalyzes the removal of signal peptides from prolipoproteins (By similarity)	2.3e-110
-22	COG_FUNCTION	COG0597	Lipoprotein signal peptidase	0
-22	COG_CATEGORY		M, U	0
-22	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0016020, GO:0044464, GO:0071944	0
-22	KEGG_PATHWAYS		map03060	0
-23	EGGNOG_BACT	155864.Z0033	Peptidyl-prolyl cis-trans isomerase	9.2e-99
-23	COG_FUNCTION	COG1047	FKBP-type peptidyl-prolyl cis-trans isomerase 2	0
-23	COG_CATEGORY		O	0
-23	GO_TERMS		GO:0000413, GO:0003674, GO:0003755, GO:0003824, GO:0005488, GO:0005527, GO:0005528, GO:0005575, GO:0006457, GO:0006464, GO:0008144, GO:0008150, GO:0008152, GO:0009987, GO:0016020, GO:0016853, GO:0016859, GO:0018193, GO:0018208, GO:0019538, GO:0036211, GO:0043170, GO:0043412, GO:0044237, GO:0044238, GO:0044260, GO:0044267, GO:0071704, GO:0097159, GO:1901363	0
-24	EGGNOG_BACT	155864.Z0034	Converts 1-hydroxy-2-methyl-2-(E)-butenyl 4-diphosphate into isopentenyl diphosphate (IPP) and dimethylallyl diphosphate (DMAPP) (By similarity)	1.3e-209
-24	COG_FUNCTION	COG0761	4-Hydroxy-3-methylbut-2-enyl diphosphate reductase IspH	0
-24	COG_CATEGORY		I	0
-24	GO_TERMS		GO:0003674, GO:0003824, GO:0006732, GO:0006733, GO:0006743, GO:0006744, GO:0008150, GO:0008152, GO:0009058, GO:0009108, GO:0009636, GO:0009987, GO:0016491, GO:0042180, GO:0042181, GO:0042221, GO:0042375, GO:0042380, GO:0044237, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0045426, GO:0046677, GO:0050896, GO:0051186, GO:0051188, GO:0055114, GO:0071704, GO:1901576, GO:1901661, GO:1901663	0
-24	KEGG_PATHWAYS		map00900, map01100, map01110, map03010	0
-25	EGGNOG_BACT	316385.ECDH10B_0031	nucleoside hydrolase	1.3e-207
-25	COG_FUNCTION	COG1957	Inosine-uridine nucleoside N-ribohydrolase	0
-25	COG_CATEGORY		F	0
-25	GO_TERMS		GO:0003674, GO:0003824, GO:0005488, GO:0005509, GO:0005515, GO:0006139, GO:0006213, GO:0006725, GO:0006807, GO:0006950, GO:0006974, GO:0008150, GO:0008152, GO:0008477, GO:0009056, GO:0009116, GO:0009119, GO:0009164, GO:0009987, GO:0016787, GO:0016798, GO:0016799, GO:0019439, GO:0033554, GO:0034641, GO:0034655, GO:0042454, GO:0042802, GO:0043167, GO:0043169, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044699, GO:0044710, GO:0044763, GO:0045437, GO:0046131, GO:0046133, GO:0046135, GO:0046483, GO:0046700, GO:0046872, GO:0047405, GO:0047622, GO:0047724, GO:0050263, GO:0050896, GO:0051716, GO:0055086, GO:0071704, GO:0072527, GO:0072529, GO:1901135, GO:1901136, GO:1901360, GO:1901361, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658	0
-25	KEGG_PATHWAYS		map00230, map00240, map00760, map01100	0
-26	EGGNOG_BACT	469008.B21_00034	Catalyzes the conversion of 4-hydroxy- tetrahydrodipicolinate (HTPA) to tetrahydrodipicolinate (By similarity)	1.3e-177
-26	COG_FUNCTION	COG0289	Dihydrodipicolinate reductase	0
-26	COG_CATEGORY		E	0
-26	GO_TERMS		GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006082, GO:0006520, GO:0006553, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0008839, GO:0009058, GO:0009066, GO:0009067, GO:0009085, GO:0009089, GO:0009987, GO:0016053, GO:0016491, GO:0016627, GO:0016628, GO:0019752, GO:0019877, GO:0043436, GO:0043648, GO:0043650, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0044711, GO:0046394, GO:0046451, GO:0055114, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-26	KEGG_PATHWAYS		map00300, map01100, map01110, map01120, map01230	0
-27	EGGNOG_BACT	155864.Z0037	carbamoyl-phosphate synthetase glutamine chain	9.5e-264
-27	COG_FUNCTION	COG0505	Carbamoylphosphate synthase small subunit	0
-27	COG_CATEGORY		F	0
-27	GO_TERMS		GO:0003674, GO:0003824, GO:0004088, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0005951, GO:0006082, GO:0006139, GO:0006206, GO:0006207, GO:0006220, GO:0006221, GO:0006520, GO:0006525, GO:0006526, GO:0006541, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009064, GO:0009084, GO:0009112, GO:0009117, GO:0009165, GO:0009218, GO:0009220, GO:0009259, GO:0009260, GO:0009987, GO:0016053, GO:0016874, GO:0016879, GO:0016884, GO:0018130, GO:0019438, GO:0019637, GO:0019693, GO:0019752, GO:0019856, GO:0032991, GO:0034641, GO:0034654, GO:0043234, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0044711, GO:0046112, GO:0046390, GO:0046394, GO:0046483, GO:0055086, GO:0071704, GO:0072527, GO:0072528, GO:0090407, GO:1901135, GO:1901137, GO:1901293, GO:1901360, GO:1901362, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-27	KEGG_PATHWAYS		map00240, map00250, map01100	0
-28	EGGNOG_BACT	469008.B21_00036	carbamoyl-phosphate synthetase ammonia chain	0
-28	COG_FUNCTION	COG0458	Carbamoylphosphate synthase large subunit	0
-28	COG_CATEGORY		F	0
-28	GO_TERMS		GO:0000166, GO:0001882, GO:0001883, GO:0003674, GO:0003824, GO:0004087, GO:0004088, GO:0005488, GO:0005524, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005886, GO:0005951, GO:0006082, GO:0006139, GO:0006206, GO:0006220, GO:0006221, GO:0006520, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009112, GO:0009117, GO:0009165, GO:0009218, GO:0009220, GO:0009259, GO:0009260, GO:0009987, GO:0016020, GO:0016053, GO:0016597, GO:0016874, GO:0016879, GO:0016884, GO:0017076, GO:0018130, GO:0019438, GO:0019637, GO:0019693, GO:0019752, GO:0019856, GO:0030554, GO:0031406, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032559, GO:0032991, GO:0034641, GO:0034654, GO:0035639, GO:0036094, GO:0043167, GO:0043168, GO:0043169, GO:0043234, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0044711, GO:0046112, GO:0046390, GO:0046394, GO:0046483, GO:0046872, GO:0055086, GO:0071704, GO:0071944, GO:0072527, GO:0072528, GO:0090407, GO:0097159, GO:1901135, GO:1901137, GO:1901265, GO:1901293, GO:1901360, GO:1901362, GO:1901363, GO:1901564, GO:1901566, GO:1901576	0
-28	KEGG_PATHWAYS		map00240, map00250, map01100	0
-30	EGGNOG_BACT	155864.Z0040	Transcriptional activatory protein CaiF	1.2e-88
-30	COG_CATEGORY		K	0
-30	GO_TERMS		GO:0001071, GO:0003674, GO:0003700, GO:0003824, GO:0006082, GO:0006139, GO:0006351, GO:0006355, GO:0006577, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0008735, GO:0009058, GO:0009059, GO:0009437, GO:0009889, GO:0009987, GO:0010467, GO:0010468, GO:0010556, GO:0016070, GO:0016829, GO:0016835, GO:0016836, GO:0018130, GO:0019219, GO:0019222, GO:0019438, GO:0019752, GO:0031323, GO:0031326, GO:0032774, GO:0032787, GO:0034641, GO:0034645, GO:0034654, GO:0043170, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044260, GO:0044271, GO:0044281, GO:0044710, GO:0046483, GO:0050789, GO:0050794, GO:0051171, GO:0051252, GO:0060255, GO:0065007, GO:0071704, GO:0080090, GO:0090304, GO:1901360, GO:1901362, GO:1901576, GO:1901615, GO:2000112, GO:2001141	0
-31	EGGNOG_BACT	362663.ECP_0035	Transferase	1.7e-133
-31	COG_FUNCTION	COG0663	Carbonic anhydrase or acetyltransferase, isoleucine patch superfamily	0
-31	COG_CATEGORY		L	0
-31	GO_TERMS		GO:0003674, GO:0003824, GO:0006082, GO:0006577, GO:0006725, GO:0006805, GO:0006807, GO:0008150, GO:0008152, GO:0008735, GO:0009056, GO:0009410, GO:0009437, GO:0009987, GO:0010124, GO:0016054, GO:0016829, GO:0016835, GO:0016836, GO:0019439, GO:0019752, GO:0032787, GO:0034641, GO:0042178, GO:0042221, GO:0042537, GO:0043436, GO:0044237, GO:0044248, GO:0044281, GO:0044282, GO:0044699, GO:0044710, GO:0044712, GO:0044763, GO:0046395, GO:0050896, GO:0051716, GO:0070887, GO:0071466, GO:0071704, GO:0072329, GO:1901360, GO:1901361, GO:1901575, GO:1901615	0
-32	EGGNOG_BACT	316385.ECDH10B_0037	Enoyl-CoA hydratase	1.2e-174
-32	COG_FUNCTION	COG1024	Enoyl-CoA hydratase/carnithine racemase	0
-32	COG_CATEGORY		I	0
-32	GO_TERMS		GO:0003674, GO:0003824, GO:0006082, GO:0006577, GO:0006579, GO:0006807, GO:0008150, GO:0008152, GO:0008809, GO:0009056, GO:0009437, GO:0009987, GO:0016054, GO:0016853, GO:0016854, GO:0016856, GO:0019752, GO:0032787, GO:0034641, GO:0042413, GO:0043436, GO:0044237, GO:0044248, GO:0044270, GO:0044281, GO:0044282, GO:0044710, GO:0044712, GO:0046395, GO:0071704, GO:0072329, GO:1901575, GO:1901615, GO:1901616	0
-32	KEGG_PATHWAYS		map00362, map00363, map00626, map00630, map00650, map00720, map00903, map01100, map01110, map01120	0
-33	EGGNOG_BACT	155864.Z0043	Could catalyze the transfer of CoA to carnitine, generating the initial carnitinyl-CoA needed for the CaiB reaction cycle	0
-33	COG_FUNCTION	COG0318	Acyl-CoA synthetase (AMP-forming)/AMP-acid ligase II	0
-33	COG_CATEGORY		I, Q	0
-33	GO_TERMS		GO:0003674, GO:0003824, GO:0008150, GO:0008152, GO:0016405, GO:0016874, GO:0016877, GO:0016879, GO:0016881, GO:0051108, GO:0051109	0
-33	KEGG_PATHWAYS		map00627, map00640, map00903, map00930, map00960, map01100, map01110, map01120	0
-34	EGGNOG_BACT	198214.SF0035	Catalyzes the reversible transfer of the CoA moiety from gamma-butyrobetainyl-CoA to L-carnitine to generate L-carnitinyl- CoA and gamma-butyrobetaine. Is also able to catalyze the reversible transfer of the CoA moiety from gamma-butyrobetainyl- CoA or L-carnitinyl-CoA to crotonobetaine to generate crotonobetainyl-CoA (By similarity)	8.8e-289
-34	COG_FUNCTION	COG1804	Crotonobetainyl-CoA:carnitine CoA-transferase CaiB and related acyl-CoA transferases	0
-34	COG_CATEGORY		C	0
-34	GO_TERMS		GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006577, GO:0006579, GO:0006807, GO:0008150, GO:0008152, GO:0008735, GO:0009056, GO:0009437, GO:0009987, GO:0016054, GO:0016829, GO:0016835, GO:0016836, GO:0019752, GO:0032787, GO:0034641, GO:0042413, GO:0043436, GO:0044237, GO:0044248, GO:0044270, GO:0044281, GO:0044282, GO:0044424, GO:0044464, GO:0044710, GO:0044712, GO:0046395, GO:0071704, GO:0072329, GO:1901575, GO:1901615, GO:1901616	0
-34	KEGG_PATHWAYS		map00281, map00623, map00626, map00720, map01100, map01110, map01120, map01220	0
-35	EGGNOG_BACT	649764.HMPREF0762_01881	Dehydrogenase	9.4e-164
-35	COG_FUNCTION	COG1960	Acyl-CoA dehydrogenase related to the alkylation response protein AidB	0
-35	COG_CATEGORY		I	0
-36	EGGNOG_BACT	316385.ECDH10B_0041	Transporter	0
-36	COG_FUNCTION	COG1292	Choline-glycine betaine transporter	0
-36	COG_CATEGORY		P	0
-36	GO_TERMS		GO:0003333, GO:0003674, GO:0005215, GO:0005342, GO:0005575, GO:0005623, GO:0005886, GO:0006810, GO:0006811, GO:0006812, GO:0006820, GO:0006865, GO:0008028, GO:0008150, GO:0008324, GO:0008509, GO:0008514, GO:0009987, GO:0015075, GO:0015101, GO:0015171, GO:0015199, GO:0015226, GO:0015651, GO:0015695, GO:0015697, GO:0015711, GO:0015718, GO:0015838, GO:0015849, GO:0015850, GO:0015879, GO:0016020, GO:0022857, GO:0022891, GO:0022892, GO:0034220, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0046942, GO:0046943, GO:0051179, GO:0051234, GO:0055085, GO:0071702, GO:0071705, GO:0071944, GO:1901618	0
-37	EGGNOG_BACT	701347.Entcl_2473	Electron transfer flavoprotein	1.1e-129
-37	COG_FUNCTION	COG2086	Electron transfer flavoprotein, alpha and beta subunits	0
-37	COG_CATEGORY		C	0
-37	GO_TERMS		GO:0006950, GO:0006974, GO:0008150, GO:0009987, GO:0033554, GO:0044699, GO:0044763, GO:0050896, GO:0051716	0
-37	KEGG_PATHWAYS		map00910	0
-38	EGGNOG_BACT	316385.ECDH10B_0043	Electron transfer flavoprotein	9.7e-209
-38	COG_FUNCTION	COG2025	Electron transfer flavoprotein, alpha subunit	0
-38	COG_CATEGORY		C	0
-38	GO_TERMS		GO:0006082, GO:0006577, GO:0006807, GO:0008150, GO:0008152, GO:0009437, GO:0009987, GO:0019752, GO:0032787, GO:0034641, GO:0043436, GO:0044237, GO:0044281, GO:0044710, GO:0071704, GO:1901615	0
-38	KEGG_PATHWAYS		map00910	0
-39	EGGNOG_BACT	199310.c0053	electron transfer flavoprotein-ubiquinone oxidoreductase	4.2e-285
-39	COG_FUNCTION	COG0644	Dehydrogenase (flavoprotein)	0
-39	COG_CATEGORY		C	0
-39	GO_TERMS		GO:0000166, GO:0003674, GO:0003824, GO:0004174, GO:0005488, GO:0006082, GO:0006577, GO:0006807, GO:0008150, GO:0008152, GO:0009437, GO:0009987, GO:0016491, GO:0016645, GO:0016649, GO:0019752, GO:0032787, GO:0034641, GO:0036094, GO:0043167, GO:0043168, GO:0043436, GO:0044237, GO:0044281, GO:0044710, GO:0048037, GO:0050660, GO:0050662, GO:0051536, GO:0051540, GO:0055114, GO:0071704, GO:0097159, GO:1901265, GO:1901363, GO:1901615	0
-39	KEGG_PATHWAYS		map00910	0
-40	EGGNOG_BACT	155864.Z0050	Could be part of an electron transfer system required for anaerobic carnitine reduction. Could be a 3Fe-4S cluster- containing protein	1.4e-67
-40	COG_FUNCTION	COG2440	Ferredoxin-like protein FixX	0
-40	COG_CATEGORY		C	0
-41	EGGNOG_BACT	316385.ECDH10B_0046	Major Facilitator superfamily	3.2e-298
-41	COG_CATEGORY		G	0
-41	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0016020, GO:0044464, GO:0071944	0
-42	EGGNOG_BACT	199310.c0056	glutathione-regulated potassium-efflux system ancillary protein KefF	1.1e-128
-42	COG_FUNCTION	COG2249	Putative NADPH-quinone reductase (modulator of drug activity B)	0
-42	COG_CATEGORY		S	0
-42	GO_TERMS		GO:0000166, GO:0003674, GO:0003824, GO:0003955, GO:0005488, GO:0008150, GO:0008152, GO:0009055, GO:0010181, GO:0016491, GO:0016651, GO:0016655, GO:0022898, GO:0032409, GO:0032411, GO:0032412, GO:0032414, GO:0032553, GO:0032879, GO:0034762, GO:0034765, GO:0036094, GO:0043167, GO:0043168, GO:0043269, GO:0044093, GO:0044710, GO:0048037, GO:0048518, GO:0050662, GO:0050789, GO:0050794, GO:0051049, GO:0051050, GO:0055114, GO:0065007, GO:0065009, GO:0097159, GO:1901265, GO:1901363	0
-43	EGGNOG_BACT	251221.glr1343	Sodium/hydrogen exchanger family	5.4e-162
-43	COG_FUNCTION	COG0475, COG1226	Kef-type K+ transport system, membrane component KefB; Voltage-gated potassium channel Kch	0
-43	COG_CATEGORY		P	0
-44	EGGNOG_BACT	199310.c0058	Key enzyme in folate metabolism. Catalyzes an essential reaction for de novo glycine and purine synthesis, and for DNA precursor synthesis (By similarity)	1.3e-137
-44	COG_FUNCTION	COG0262	Dihydrofolate reductase	0
-44	COG_CATEGORY		H	0
-44	GO_TERMS		GO:0003674, GO:0003824, GO:0004146, GO:0006082, GO:0006520, GO:0006575, GO:0006725, GO:0006732, GO:0006760, GO:0006766, GO:0006767, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009108, GO:0009110, GO:0009256, GO:0009257, GO:0009396, GO:0009987, GO:0016053, GO:0016491, GO:0016645, GO:0016646, GO:0018130, GO:0019438, GO:0019752, GO:0034641, GO:0042221, GO:0042364, GO:0042398, GO:0042493, GO:0042558, GO:0042559, GO:0043436, GO:0043648, GO:0043650, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0046483, GO:0046653, GO:0046654, GO:0046655, GO:0046656, GO:0050896, GO:0051186, GO:0051188, GO:0055114, GO:0071704, GO:1901360, GO:1901362, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-44	KEGG_PATHWAYS		map00670, map00790, map01100	0
-46	COG_CATEGORY		S	0
-47	EGGNOG_BACT	155864.Z0058	Hydrolyzes diadenosine 5',5'''-P1,P4-tetraphosphate to yield ADP (By similarity)	7.9e-202
-47	COG_FUNCTION	COG0639	Diadenosine tetraphosphatase ApaH/serine/threonine protein phosphatase, PP2A family	0
-47	COG_CATEGORY		F	0
-47	GO_TERMS		GO:0003674, GO:0003824, GO:0004551, GO:0006139, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0008796, GO:0008803, GO:0009987, GO:0015949, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0034641, GO:0044237, GO:0044238, GO:0044281, GO:0044710, GO:0046483, GO:0055086, GO:0071704, GO:1901360	0
-47	KEGG_PATHWAYS		map00230	0
-48	EGGNOG_BACT	155864.Z0059	ApaG protein	5.1e-84
-48	COG_FUNCTION	COG2967	Uncharacterized protein affecting Mg2+/Co2+ transport	0
-48	COG_CATEGORY		P	0
-49	EGGNOG_BACT	316385.ECDH10B_0052	Specifically dimethylates two adjacent adenosines (A1518 and A1519) in the loop of a conserved hairpin near the 3'-end of 16S rRNA in the 30S particle. May play a critical role in biogenesis of 30S subunits (By similarity)	3.2e-185
-49	COG_FUNCTION	COG0030	16S rRNA A1518 and A1519 N6-dimethyltransferase RsmA/KsgA/DIM1 (may also have DNA glycosylase/AP lyase activity)	0
-49	COG_CATEGORY		J	0
-49	GO_TERMS		GO:0000028, GO:0000154, GO:0000179, GO:0001510, GO:0003674, GO:0003676, GO:0003677, GO:0003690, GO:0003723, GO:0003729, GO:0003824, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006139, GO:0006364, GO:0006396, GO:0006725, GO:0006807, GO:0006996, GO:0008150, GO:0008152, GO:0008168, GO:0008170, GO:0008173, GO:0008649, GO:0008757, GO:0009451, GO:0009987, GO:0010467, GO:0016043, GO:0016070, GO:0016072, GO:0016433, GO:0016740, GO:0016741, GO:0019843, GO:0022607, GO:0022613, GO:0022618, GO:0031167, GO:0032259, GO:0034470, GO:0034622, GO:0034641, GO:0034660, GO:0042254, GO:0042255, GO:0042274, GO:0043170, GO:0043412, GO:0043414, GO:0043566, GO:0043933, GO:0044085, GO:0044237, GO:0044238, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044763, GO:0046483, GO:0065003, GO:0070475, GO:0070925, GO:0071704, GO:0071826, GO:0071840, GO:0090304, GO:0097159, GO:1901360, GO:1901363	0
-50	EGGNOG_BACT	155864.Z0061	Catalyzes the NAD(P)-dependent oxidation of 4- (phosphohydroxy)-L-threonine (HTP) into 2-amino-3-oxo-4- (phosphohydroxy)butyric acid which spontaneously decarboxylates to form 3-amino-2-oxopropyl phosphate (AHAP) (By similarity)	1.5e-220
-50	COG_FUNCTION	COG1995	4-hydroxy-L-threonine phosphate dehydrogenase PdxA	0
-50	COG_CATEGORY		H	0
-50	GO_TERMS		GO:0000166, GO:0000287, GO:0003674, GO:0003824, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006725, GO:0006732, GO:0006766, GO:0006767, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0008270, GO:0008614, GO:0008615, GO:0009058, GO:0009108, GO:0009110, GO:0009987, GO:0016491, GO:0016614, GO:0016616, GO:0018130, GO:0019438, GO:0019637, GO:0034641, GO:0036094, GO:0042364, GO:0042816, GO:0042819, GO:0042822, GO:0042823, GO:0043167, GO:0043169, GO:0044237, GO:0044249, GO:0044271, GO:0044281, GO:0044283, GO:0044424, GO:0044464, GO:0044710, GO:0044711, GO:0046483, GO:0046872, GO:0046914, GO:0048037, GO:0050570, GO:0050662, GO:0051186, GO:0051188, GO:0051287, GO:0055114, GO:0071704, GO:0072524, GO:0072525, GO:0090407, GO:0097159, GO:1901265, GO:1901360, GO:1901362, GO:1901363, GO:1901564, GO:1901566, GO:1901576, GO:1901615, GO:1901617	0
-50	KEGG_PATHWAYS		map00750, map01100	0
-51	EGGNOG_BACT	155864.Z0062	Chaperone involved in the correct folding and assembly of outer membrane proteins. Recognizes specific patterns of aromatic residues and the orientation of their side chains, which are found more frequently in integral outer membrane proteins. May act in both early periplasmic and late outer membrane-associated steps of protein maturation (By similarity)	4.1e-283
-51	COG_FUNCTION	COG0760	Parvulin-like peptidyl-prolyl isomerase	0
-51	COG_CATEGORY		O	0
-51	GO_TERMS		GO:0000413, GO:0003674, GO:0003755, GO:0003824, GO:0005488, GO:0005515, GO:0005575, GO:0005623, GO:0006457, GO:0006458, GO:0006464, GO:0008150, GO:0008152, GO:0009987, GO:0010468, GO:0010608, GO:0016043, GO:0016044, GO:0016853, GO:0016859, GO:0018193, GO:0018208, GO:0019222, GO:0019538, GO:0022607, GO:0030288, GO:0030312, GO:0030313, GO:0031647, GO:0031975, GO:0033218, GO:0036211, GO:0042277, GO:0042592, GO:0042597, GO:0042710, GO:0043163, GO:0043165, GO:0043170, GO:0043412, GO:0044085, GO:0044091, GO:0044237, GO:0044238, GO:0044260, GO:0044267, GO:0044462, GO:0044464, GO:0044699, GO:0044763, GO:0044764, GO:0045229, GO:0048872, GO:0048874, GO:0050789, GO:0050821, GO:0051082, GO:0051084, GO:0051085, GO:0051704, GO:0060255, GO:0060274, GO:0061024, GO:0061077, GO:0065007, GO:0065008, GO:0071704, GO:0071709, GO:0071840, GO:0071944	0
-52	EGGNOG_BACT	316385.ECDH10B_0055	involved in the assembly of LPS in the outer leaflet of the outer membrane. Determines N-hexane tolerance and is involved in outer membrane permeability. Essential for envelope biogenesis (By similarity)	0
-52	COG_FUNCTION	COG1452	LPS assembly outer membrane protein LptD (organic solvent tolerance protein OstA)	0
-52	COG_CATEGORY		M	0
-52	GO_TERMS		GO:0005575, GO:0005623, GO:0006810, GO:0006869, GO:0008150, GO:0009279, GO:0009636, GO:0009987, GO:0010033, GO:0010876, GO:0015920, GO:0016020, GO:0016043, GO:0016044, GO:0019867, GO:0022607, GO:0030312, GO:0030313, GO:0031975, GO:0033036, GO:0042221, GO:0043163, GO:0043165, GO:0044085, GO:0044091, GO:0044462, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0045229, GO:0050896, GO:0051179, GO:0051234, GO:0061024, GO:0071702, GO:0071709, GO:0071840, GO:0071944, GO:1901264	0
-53	EGGNOG_BACT	155864.Z0064	Regulatory DnaK co-chaperone. Direct interaction between DnaK and DjlA is needed for the induction of the wcaABCDE operon, involved in the synthesis of a colanic acid polysaccharide capsule, possibly through activation of the RcsB RcsC phosphotransfer signaling pathway. The colanic acid capsule may help the bacterium survive conditions outside the host (By similarity)	9.4e-186
-53	COG_FUNCTION	COG1076	DnaJ-domain-containing proteins 1	0
-53	COG_CATEGORY		O	0
-53	GO_TERMS		GO:0003674, GO:0005488, GO:0005515, GO:0005575, GO:0005623, GO:0005886, GO:0005887, GO:0016020, GO:0016021, GO:0031224, GO:0031226, GO:0044425, GO:0044459, GO:0044464, GO:0051087, GO:0071944	0
-54	EGGNOG_BACT	316385.ECDH10B_0060	Pseudouridine synthase	4.4e-152
-54	COG_FUNCTION	COG0564	Pseudouridylate synthase, 23S rRNA- or tRNA-specific	0
-54	COG_CATEGORY		J	0
-54	GO_TERMS		GO:0000154, GO:0000455, GO:0001522, GO:0003674, GO:0003824, GO:0006139, GO:0006364, GO:0006396, GO:0006399, GO:0006400, GO:0006725, GO:0006807, GO:0008033, GO:0008150, GO:0008152, GO:0009451, GO:0009982, GO:0009987, GO:0010467, GO:0016070, GO:0016072, GO:0016853, GO:0016866, GO:0022613, GO:0031118, GO:0031119, GO:0034470, GO:0034641, GO:0034660, GO:0042254, GO:0043170, GO:0043412, GO:0044085, GO:0044237, GO:0044238, GO:0044260, GO:0046483, GO:0071704, GO:0071840, GO:0090304, GO:1901360	0
-55	EGGNOG_BACT	155864.Z0067	Transcription regulator that activates transcription by stimulating RNA polymerase (RNAP) recycling in case of stress conditions such as supercoiled DNA or high salt concentrations. Probably acts by releasing the RNAP, when it is trapped or immobilized on tightly supercoiled DNA. Does not activate transcription on linear DNA. Probably not involved in DNA repair (By similarity)	0
-55	COG_FUNCTION	COG0553	Superfamily II DNA or RNA helicase, SNF2 family	0
-55	COG_CATEGORY		L	0
-55	GO_TERMS		GO:0000166, GO:0001882, GO:0001883, GO:0003674, GO:0003676, GO:0003824, GO:0004386, GO:0005488, GO:0005524, GO:0006139, GO:0006152, GO:0006163, GO:0006195, GO:0006200, GO:0006355, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009123, GO:0009125, GO:0009126, GO:0009128, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009158, GO:0009161, GO:0009164, GO:0009166, GO:0009167, GO:0009169, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009889, GO:0009891, GO:0009893, GO:0009987, GO:0010468, GO:0010556, GO:0010557, GO:0010604, GO:0010628, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0016887, GO:0017076, GO:0017111, GO:0019219, GO:0019222, GO:0019439, GO:0019637, GO:0019693, GO:0030554, GO:0031323, GO:0031325, GO:0031326, GO:0031328, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032559, GO:0034641, GO:0034655, GO:0035639, GO:0036094, GO:0042278, GO:0042454, GO:0043167, GO:0043168, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044710, GO:0045893, GO:0045935, GO:0046034, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0048518, GO:0048522, GO:0050789, GO:0050794, GO:0051171, GO:0051173, GO:0051252, GO:0051254, GO:0055086, GO:0060255, GO:0065007, GO:0071704, GO:0072521, GO:0072523, GO:0080090, GO:0097159, GO:1901135, GO:1901136, GO:1901265, GO:1901292, GO:1901360, GO:1901361, GO:1901363, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658, GO:2000112, GO:2001141	0
-56	EGGNOG_BACT	316407.85674307	DNA polymerase	0
-56	COG_FUNCTION	COG0417	DNA polymerase elongation subunit (family B)	0
-56	COG_CATEGORY		L	0
-56	GO_TERMS		GO:0003674, GO:0003824, GO:0003887, GO:0004518, GO:0004527, GO:0004529, GO:0004536, GO:0005575, GO:0005622, GO:0005623, GO:0005694, GO:0006139, GO:0006259, GO:0006260, GO:0006261, GO:0006281, GO:0006289, GO:0006297, GO:0006301, GO:0006725, GO:0006807, GO:0006950, GO:0006974, GO:0007154, GO:0008150, GO:0008152, GO:0008296, GO:0008408, GO:0009058, GO:0009059, GO:0009432, GO:0009605, GO:0009987, GO:0009991, GO:0016740, GO:0016772, GO:0016779, GO:0016787, GO:0016788, GO:0016796, GO:0016895, GO:0018130, GO:0019438, GO:0019985, GO:0031668, GO:0033554, GO:0034061, GO:0034641, GO:0034645, GO:0034654, GO:0043170, GO:0043226, GO:0043228, GO:0043229, GO:0043232, GO:0044237, GO:0044238, GO:0044249, GO:0044260, GO:0044271, GO:0044424, GO:0044464, GO:0044699, GO:0044763, GO:0045004, GO:0045005, GO:0046483, GO:0050896, GO:0051716, GO:0071496, GO:0071704, GO:0071897, GO:0090304, GO:0090305, GO:1901360, GO:1901362, GO:1901576	0
-56	KEGG_PATHWAYS		map00230, map00240, map01100	0
-57	EGGNOG_BACT	316407.21321943	L-ribulose-5-phosphate 4-epimerase	7.9e-162
-57	COG_FUNCTION	COG0235	Ribulose-5-phosphate 4-epimerase/Fuculose-1-phosphate aldolase	0
-57	COG_CATEGORY		G	0
-57	GO_TERMS		GO:0003674, GO:0003824, GO:0005975, GO:0005996, GO:0006082, GO:0006766, GO:0006767, GO:0006793, GO:0006796, GO:0008150, GO:0008152, GO:0008742, GO:0009056, GO:0009058, GO:0009987, GO:0016052, GO:0016853, GO:0016854, GO:0016857, GO:0019321, GO:0019323, GO:0019324, GO:0019566, GO:0019568, GO:0019569, GO:0019572, GO:0019637, GO:0019752, GO:0019852, GO:0043436, GO:0044237, GO:0044238, GO:0044281, GO:0044710, GO:0044723, GO:0044724, GO:0046365, GO:0046373, GO:0051167, GO:0071704, GO:0090407, GO:1901135, GO:1901137, GO:1901159, GO:1901575, GO:1901576	0
-57	KEGG_PATHWAYS		map00040, map00053, map01100, map01120	0
-58	EGGNOG_BACT	362663.ECP_0063	Catalyzes the conversion of L-arabinose to L-ribulose (By similarity)	0
-58	COG_FUNCTION	COG2160	L-arabinose isomerase	0
-58	COG_CATEGORY		G	0
-58	GO_TERMS		GO:0003674, GO:0003824, GO:0005975, GO:0005996, GO:0006793, GO:0006796, GO:0008150, GO:0008152, GO:0008733, GO:0009056, GO:0009058, GO:0009987, GO:0016052, GO:0016853, GO:0016860, GO:0016861, GO:0019321, GO:0019323, GO:0019566, GO:0019568, GO:0019569, GO:0019572, GO:0019637, GO:0044237, GO:0044238, GO:0044723, GO:0044724, GO:0046365, GO:0046373, GO:0051167, GO:0071704, GO:0090407, GO:1901135, GO:1901137, GO:1901159, GO:1901575, GO:1901576	0
-58	KEGG_PATHWAYS		map00040, map01100	0
-59	EGGNOG_BACT	198214.SF0058	ribulokinase	0
-59	COG_FUNCTION	COG1069	Ribulose kinase	0
-59	COG_CATEGORY		C	0
-59	GO_TERMS		GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005975, GO:0005996, GO:0006793, GO:0006796, GO:0008150, GO:0008152, GO:0008741, GO:0009056, GO:0009058, GO:0009987, GO:0016052, GO:0016301, GO:0016310, GO:0016740, GO:0016772, GO:0016773, GO:0019200, GO:0019321, GO:0019323, GO:0019566, GO:0019568, GO:0019569, GO:0019572, GO:0019637, GO:0044237, GO:0044238, GO:0044262, GO:0044424, GO:0044464, GO:0044723, GO:0044724, GO:0046365, GO:0046373, GO:0046835, GO:0051167, GO:0071704, GO:0090407, GO:1901135, GO:1901137, GO:1901159, GO:1901575, GO:1901576	0
-59	KEGG_PATHWAYS		map00040, map01100	0
-60	EGGNOG_BACT	155864.Z0073	transcriptional regulator (AraC	1.5e-208
-60	COG_CATEGORY		K	0
-60	GO_TERMS		GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005975, GO:0005996, GO:0008150, GO:0008152, GO:0009056, GO:0016052, GO:0019321, GO:0019323, GO:0019566, GO:0019568, GO:0044238, GO:0044424, GO:0044464, GO:0044723, GO:0044724, GO:0046365, GO:0071704, GO:1901575	0
-61	EGGNOG_BACT	198214.SF0060	Membrane	3.8e-171
-61	COG_FUNCTION	COG0586	Uncharacterized membrane protein DedA, SNARE-associated domain	0
-61	COG_CATEGORY		I	0
-61	GO_TERMS		GO:0000003, GO:0000910, GO:0005575, GO:0005623, GO:0005886, GO:0007049, GO:0008150, GO:0009987, GO:0016020, GO:0019954, GO:0022402, GO:0032505, GO:0043093, GO:0044464, GO:0044699, GO:0044763, GO:0051301, GO:0071944	0
-62	EGGNOG_BACT	481805.EcolC_3591	ABC, transporter	1.1e-151
-62	COG_FUNCTION	COG3840	ABC-type thiamine transport system, ATPase component	0
-62	COG_CATEGORY		H	0
-62	GO_TERMS		GO:0003674, GO:0003824, GO:0005215, GO:0005575, GO:0005623, GO:0005886, GO:0006139, GO:0006152, GO:0006163, GO:0006195, GO:0006200, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0006810, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009123, GO:0009125, GO:0009126, GO:0009128, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009158, GO:0009161, GO:0009164, GO:0009166, GO:0009167, GO:0009169, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009987, GO:0015234, GO:0015399, GO:0015405, GO:0015888, GO:0015893, GO:0016020, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0016820, GO:0016887, GO:0017111, GO:0019439, GO:0019637, GO:0019693, GO:0022804, GO:0022857, GO:0022891, GO:0022892, GO:0034641, GO:0034655, GO:0035461, GO:0042221, GO:0042278, GO:0042454, GO:0042493, GO:0042623, GO:0042626, GO:0043492, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0044765, GO:0045117, GO:0045118, GO:0046034, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0050896, GO:0051179, GO:0051180, GO:0051183, GO:0051234, GO:0055085, GO:0055086, GO:0071702, GO:0071704, GO:0071705, GO:0071944, GO:0072348, GO:0072521, GO:0072523, GO:0090482, GO:0090484, GO:1901135, GO:1901136, GO:1901292, GO:1901360, GO:1901361, GO:1901474, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658, GO:1901682	0
-62	KEGG_PATHWAYS		map02010	0
-63	EGGNOG_BACT	198214.SF0062	thiamine transporter membrane protein	0
-63	COG_FUNCTION	COG1178	ABC-type Fe3+ transport system, permease component	0
-63	COG_CATEGORY		P	0
-63	GO_TERMS		GO:0003674, GO:0003824, GO:0005215, GO:0005575, GO:0005623, GO:0005886, GO:0006139, GO:0006152, GO:0006163, GO:0006195, GO:0006200, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0006810, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009123, GO:0009125, GO:0009126, GO:0009128, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009158, GO:0009161, GO:0009164, GO:0009166, GO:0009167, GO:0009169, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009987, GO:0015234, GO:0015399, GO:0015405, GO:0015888, GO:0015893, GO:0016020, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0016820, GO:0016887, GO:0017111, GO:0019439, GO:0019637, GO:0019693, GO:0022804, GO:0022857, GO:0022891, GO:0022892, GO:0034641, GO:0034655, GO:0035461, GO:0042221, GO:0042278, GO:0042454, GO:0042493, GO:0042623, GO:0042626, GO:0043492, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0044765, GO:0045117, GO:0045118, GO:0046034, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0050896, GO:0051179, GO:0051180, GO:0051183, GO:0051234, GO:0055085, GO:0055086, GO:0071702, GO:0071704, GO:0071705, GO:0071944, GO:0072348, GO:0072521, GO:0072523, GO:0090482, GO:0090484, GO:1901135, GO:1901136, GO:1901292, GO:1901360, GO:1901361, GO:1901474, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658, GO:1901682	0
-63	KEGG_PATHWAYS		map02010	0
-64	EGGNOG_BACT	198214.SF0063	ABC transporter	6.4e-227
-64	COG_FUNCTION	COG4143	ABC-type thiamine transport system, periplasmic component	0
-64	COG_CATEGORY		H	0
-64	GO_TERMS		GO:0003674, GO:0003824, GO:0005215, GO:0005575, GO:0005623, GO:0006139, GO:0006152, GO:0006163, GO:0006195, GO:0006200, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0006810, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009123, GO:0009125, GO:0009126, GO:0009128, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009158, GO:0009161, GO:0009164, GO:0009166, GO:0009167, GO:0009169, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009987, GO:0015234, GO:0015399, GO:0015405, GO:0015888, GO:0015893, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0016820, GO:0016887, GO:0017111, GO:0019439, GO:0019637, GO:0019693, GO:0022804, GO:0022857, GO:0022891, GO:0022892, GO:0034641, GO:0034655, GO:0035461, GO:0042221, GO:0042278, GO:0042454, GO:0042493, GO:0042597, GO:0042623, GO:0042626, GO:0043492, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0044765, GO:0045117, GO:0045118, GO:0046034, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0050896, GO:0051179, GO:0051180, GO:0051183, GO:0051234, GO:0055085, GO:0055086, GO:0071702, GO:0071704, GO:0071705, GO:0072348, GO:0072521, GO:0072523, GO:0090482, GO:0090484, GO:1901135, GO:1901136, GO:1901292, GO:1901360, GO:1901361, GO:1901474, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658, GO:1901682	0
-64	KEGG_PATHWAYS		map02010	0
-65	EGGNOG_BACT	469008.B21_00070	Activates the small RNA gene sgrS under glucose- phosphate stress conditions as well as yfdZ. Represses its own transcription under both stress and non-stress conditions. Might act as a sensor of the intracellular accumulation of phosphoglucose by binding these molecules in its C-terminal solute-binding domain (By similarity)	0
-65	COG_FUNCTION	COG4533	DNA-binding transcriptional regulator SgrR  of sgrS sRNA, contains a MarR-type HTH domain and a periplasmic-type solute-binding domain	0
-65	COG_CATEGORY		K	0
-66	COG_CATEGORY		S	0
-67	EGGNOG_BACT	316407.85674315	sugar efflux transporter	4.6e-254
-67	COG_CATEGORY		G	0
-67	GO_TERMS		GO:0003674, GO:0005215, GO:0005351, GO:0005402, GO:0005575, GO:0005623, GO:0005886, GO:0006810, GO:0006811, GO:0006812, GO:0006818, GO:0006950, GO:0007059, GO:0008150, GO:0008324, GO:0008643, GO:0008645, GO:0009987, GO:0015075, GO:0015144, GO:0015291, GO:0015293, GO:0015294, GO:0015295, GO:0015542, GO:0015672, GO:0015749, GO:0015758, GO:0015766, GO:0015767, GO:0015772, GO:0015992, GO:0016020, GO:0016021, GO:0022804, GO:0022857, GO:0022891, GO:0022892, GO:0031224, GO:0033554, GO:0034219, GO:0034220, GO:0044425, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0050896, GO:0051119, GO:0051179, GO:0051234, GO:0051716, GO:0055085, GO:0071702, GO:0071944, GO:1901476	0
-68	EGGNOG_BACT	316407.21321953	Catalyzes the isomerization between 2-isopropylmalate and 3-isopropylmalate, via the formation of 2-isopropylmaleate (By similarity)	1.6e-139
-68	COG_FUNCTION	COG0066	3-isopropylmalate dehydratase small subunit	0
-68	COG_CATEGORY		E	0
-68	GO_TERMS		GO:0003674, GO:0003824, GO:0003861, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006082, GO:0006520, GO:0006551, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009098, GO:0009316, GO:0009987, GO:0016053, GO:0016829, GO:0016835, GO:0016836, GO:0016853, GO:0016866, GO:0019752, GO:0032991, GO:0043234, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044445, GO:0044464, GO:0044710, GO:0044711, GO:0046394, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-68	KEGG_PATHWAYS		map00290, map00660, map01100, map01110, map01210, map01230	0
-69	EGGNOG_BACT	199310.c0089	Catalyzes the isomerization between 2-isopropylmalate and 3-isopropylmalate, via the formation of 2-isopropylmaleate (By similarity)	0
-69	COG_FUNCTION	COG0065	Homoaconitase/3-isopropylmalate dehydratase large subunit	0
-69	COG_CATEGORY		E	0
-69	GO_TERMS		GO:0003674, GO:0003824, GO:0003861, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006082, GO:0006520, GO:0006551, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009098, GO:0009316, GO:0009987, GO:0016053, GO:0016829, GO:0016835, GO:0016836, GO:0016853, GO:0016866, GO:0019752, GO:0032991, GO:0043234, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044445, GO:0044464, GO:0044710, GO:0044711, GO:0046394, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-69	KEGG_PATHWAYS		map00290, map00660, map01100, map01110, map01210, map01230	0
-70	EGGNOG_BACT	316407.21321955	Catalyzes the oxidation of 3-carboxy-2-hydroxy-4- methylpentanoate (3-isopropylmalate) to 3-carboxy-4-methyl-2- oxopentanoate. The product decarboxylates to 4-methyl-2 oxopentanoate (By similarity)	4.3e-249
-70	COG_FUNCTION	COG0473	Isocitrate/isopropylmalate dehydrogenase	0
-70	COG_CATEGORY		E	0
-70	GO_TERMS		GO:0003674, GO:0003824, GO:0003862, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006520, GO:0006551, GO:0006807, GO:0006950, GO:0007154, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009098, GO:0009267, GO:0009605, GO:0009987, GO:0009991, GO:0016053, GO:0016491, GO:0016614, GO:0016616, GO:0019752, GO:0031667, GO:0031668, GO:0031669, GO:0033554, GO:0034198, GO:0042594, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044711, GO:0044763, GO:0046394, GO:0050896, GO:0051716, GO:0055114, GO:0071496, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-70	KEGG_PATHWAYS		map00290, map01100, map01110, map01210, map01230	0
-71	EGGNOG_BACT	362663.ECP_0076	Catalyzes the condensation of the acetyl group of acetyl-CoA with 3-methyl-2-oxobutanoate (2-oxoisovalerate) to form 3-carboxy-3-hydroxy-4-methylpentanoate (2-isopropylmalate) (By similarity)	0
-71	COG_FUNCTION	COG0119	Isopropylmalate/homocitrate/citramalate synthases	0
-71	COG_CATEGORY		E	0
-71	GO_TERMS		GO:0003674, GO:0003824, GO:0003852, GO:0003985, GO:0003988, GO:0006082, GO:0006520, GO:0006551, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009098, GO:0009987, GO:0016053, GO:0016407, GO:0016408, GO:0016453, GO:0016740, GO:0016746, GO:0016747, GO:0019752, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0046912, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-71	KEGG_PATHWAYS		map00290, map00620, map01100, map01110, map01210, map01230	0
-72	EGGNOG_BACT	198214.SF0071	transcriptional regulator, lysR family	2.5e-214
-72	COG_CATEGORY		K	0
-72	GO_TERMS		GO:0001071, GO:0003674, GO:0003700, GO:0006355, GO:0008150, GO:0009889, GO:0010468, GO:0010556, GO:0019219, GO:0019222, GO:0031323, GO:0031326, GO:0050789, GO:0050794, GO:0051171, GO:0051252, GO:0060255, GO:0065007, GO:0080090, GO:2000112, GO:2001141	0
-73	EGGNOG_BACT	316407.85674319	acetolactate synthase	0
-73	COG_FUNCTION	COG0028	Acetolactate synthase large subunit or other thiamine pyrophosphate-requiring enzyme	0
-73	COG_CATEGORY		E	0
-73	GO_TERMS		GO:0003674, GO:0003824, GO:0003984, GO:0004802, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005948, GO:0006082, GO:0006520, GO:0006549, GO:0006573, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009097, GO:0009099, GO:0009987, GO:0016053, GO:0016740, GO:0016744, GO:0019752, GO:0032991, GO:0043234, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0044711, GO:0046394, GO:0051186, GO:0051188, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-73	KEGG_PATHWAYS		map00290, map00650, map00660, map00770, map01100, map01110, map01210, map01230	0
-74	EGGNOG_BACT	198214.SF0073	Acetolactate synthase small subunit	1.1e-101
-74	COG_FUNCTION	COG0440	Acetolactate synthase, small subunit	0
-74	COG_CATEGORY		E	0
-74	GO_TERMS		GO:0003674, GO:0003824, GO:0003984, GO:0006082, GO:0006520, GO:0006549, GO:0006551, GO:0006573, GO:0006807, GO:0008150, GO:0008152, GO:0008652, GO:0009058, GO:0009081, GO:0009082, GO:0009097, GO:0009098, GO:0009099, GO:0009987, GO:0016053, GO:0016740, GO:0016744, GO:0019752, GO:0043436, GO:0044237, GO:0044238, GO:0044249, GO:0044281, GO:0044283, GO:0044710, GO:0044711, GO:0046394, GO:0051186, GO:0051188, GO:0071704, GO:1901564, GO:1901566, GO:1901576, GO:1901605, GO:1901607	0
-74	KEGG_PATHWAYS		map00290, map00650, map00660, map00770, map01100, map01110, map01210, map01230	0
-75	EGGNOG_BACT	155864.Z0090	DNA-binding transcriptional regulator FruR	3.9e-227
-75	COG_FUNCTION	COG1609	DNA-binding transcriptional regulator, LacI/PurR family	0
-75	COG_CATEGORY		K	0
-75	GO_TERMS		GO:0001071, GO:0003674, GO:0003676, GO:0003677, GO:0003700, GO:0005488, GO:0005975, GO:0005996, GO:0006006, GO:0006007, GO:0006091, GO:0006096, GO:0006355, GO:0006810, GO:0008150, GO:0008152, GO:0009056, GO:0009889, GO:0009987, GO:0010468, GO:0010556, GO:0016052, GO:0019219, GO:0019222, GO:0019318, GO:0019320, GO:0031323, GO:0031326, GO:0044237, GO:0044238, GO:0044248, GO:0044723, GO:0044724, GO:0046365, GO:0050789, GO:0050794, GO:0051171, GO:0051179, GO:0051234, GO:0051252, GO:0060255, GO:0065007, GO:0071704, GO:0080090, GO:0097159, GO:1901363, GO:1901575, GO:2000112, GO:2001141	0
-76	EGGNOG_BACT	155864.Z0091	Cell division protein mraZ	1.1e-102
-76	COG_FUNCTION	COG2001	MraZ, DNA-binding transcriptional regulator and inhibitor of RsmH methyltransferase activity	0
-76	COG_CATEGORY		S	0
-76	GO_TERMS		GO:0008150, GO:0040007	0
-77	EGGNOG_BACT	155864.Z0092	Specifically methylates the N4 position of cytidine in position 1402 (C1402) of 16S rRNA (By similarity)	5.9e-208
-77	COG_FUNCTION	COG0275	16S rRNA C1402 N4-methylase RsmH	0
-77	COG_CATEGORY		M	0
-77	GO_TERMS		GO:0000154, GO:0001510, GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005886, GO:0006139, GO:0006364, GO:0006396, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0008168, GO:0008170, GO:0008173, GO:0008649, GO:0008757, GO:0009451, GO:0009987, GO:0010467, GO:0016020, GO:0016070, GO:0016072, GO:0016434, GO:0016740, GO:0016741, GO:0022613, GO:0031167, GO:0032259, GO:0034470, GO:0034641, GO:0034660, GO:0040007, GO:0042254, GO:0043170, GO:0043412, GO:0043414, GO:0044085, GO:0044237, GO:0044238, GO:0044260, GO:0044424, GO:0044464, GO:0046483, GO:0070475, GO:0071424, GO:0071704, GO:0071840, GO:0071944, GO:0090304, GO:1901360	0
-78	EGGNOG_BACT	155864.Z0093	Essential cell division protein. May link together the upstream cell division proteins, which are predominantly cytoplasmic, with the downstream cell division proteins, which are predominantly periplasmic (By similarity)	1.3e-78
-78	COG_FUNCTION	COG3116	Cell division protein FtsL, interacts with FtsB, FtsL and FtsQ	0
-78	COG_CATEGORY		D	0
-78	GO_TERMS		GO:0000003, GO:0000910, GO:0005575, GO:0005623, GO:0005886, GO:0005887, GO:0007049, GO:0008150, GO:0009987, GO:0016020, GO:0016021, GO:0019954, GO:0022402, GO:0031224, GO:0031226, GO:0032153, GO:0032155, GO:0032505, GO:0043093, GO:0044425, GO:0044459, GO:0044464, GO:0044699, GO:0044763, GO:0051301, GO:0071944	0
-79	EGGNOG_BACT	155864.Z0094	peptidoglycan synthetase ftsI	0
-79	COG_FUNCTION	COG0768	Cell division protein FtsI/penicillin-binding protein 2	0
-79	COG_CATEGORY		M	0
-79	GO_TERMS		GO:0000003, GO:0000270, GO:0000910, GO:0003674, GO:0003824, GO:0005488, GO:0005575, GO:0005576, GO:0005618, GO:0005623, GO:0005886, GO:0005887, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0007049, GO:0008144, GO:0008150, GO:0008152, GO:0008658, GO:0008955, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009274, GO:0009276, GO:0009987, GO:0016020, GO:0016021, GO:0016740, GO:0016757, GO:0016758, GO:0019954, GO:0022402, GO:0030203, GO:0030312, GO:0030313, GO:0031224, GO:0031226, GO:0031406, GO:0031975, GO:0032153, GO:0032155, GO:0032505, GO:0033218, GO:0033293, GO:0034645, GO:0040007, GO:0042221, GO:0042493, GO:0042546, GO:0043093, GO:0043167, GO:0043168, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044425, GO:0044459, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0050896, GO:0051301, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:0071944, GO:0097159, GO:1901135, GO:1901137, GO:1901363, GO:1901564, GO:1901566, GO:1901576, GO:1901681	0
-79	KEGG_PATHWAYS		map00550, map01100	0
-80	EGGNOG_BACT	316385.ECDH10B_0067	Catalyzes the addition of meso-diaminopimelic acid to the nucleotide precursor UDP-N-acetylmuramoyl-L-alanyl-D-glutamate (UMAG) in the biosynthesis of bacterial cell-wall peptidoglycan (By similarity)	0
-80	COG_FUNCTION	COG0769	UDP-N-acetylmuramyl tripeptide synthase	0
-80	COG_CATEGORY		M	0
-80	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008765, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016874, GO:0016879, GO:0016881, GO:0030203, GO:0034645, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0047482, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-80	KEGG_PATHWAYS		map00300, map00550, map01100	0
-81	EGGNOG_BACT	469008.B21_00086	Involved in cell wall formation. Catalyzes the final step in the synthesis of UDP-N-acetylmuramoyl-pentapeptide, the precursor of murein (By similarity)	3.8e-297
-81	COG_FUNCTION	COG0770	UDP-N-acetylmuramyl pentapeptide synthase	0
-81	COG_CATEGORY		M	0
-81	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005618, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009274, GO:0009276, GO:0009987, GO:0016874, GO:0016879, GO:0016881, GO:0030203, GO:0030312, GO:0030313, GO:0031975, GO:0034645, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0047480, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:0071944, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-81	KEGG_PATHWAYS		map00300, map00550, map01100	0
-82	EGGNOG_BACT	198214.SF0084	First step of the lipid cycle reactions in the biosynthesis of the cell wall peptidoglycan (By similarity)	8.2e-240
-82	COG_FUNCTION	COG0472	UDP-N-acetylmuramyl pentapeptide phosphotransferase/UDP-N-acetylglucosamine-1-phosphate transferase	0
-82	COG_CATEGORY		M	0
-82	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005623, GO:0005886, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008963, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016020, GO:0016740, GO:0016772, GO:0016780, GO:0030203, GO:0034645, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:0071944, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-82	KEGG_PATHWAYS		map00550, map01100	0
-83	EGGNOG_BACT	316385.ECDH10B_0070	Cell wall formation. Catalyzes the addition of glutamate to the nucleotide precursor UDP-N-acetylmuramoyl-L-alanine (UMA) (By similarity)	3.1e-294
-83	COG_FUNCTION	COG0771	UDP-N-acetylmuramoylalanine-D-glutamate ligase	0
-83	COG_CATEGORY		M	0
-83	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008764, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016874, GO:0016879, GO:0016881, GO:0030203, GO:0034645, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-83	KEGG_PATHWAYS		map00471, map00550, map01100	0
-84	EGGNOG_BACT	199310.c0107	Essential cell division protein. Transports lipid-linked peptidoglycan precursors from the inner to the outer leaflet of the cytoplasmic membrane (By similarity)	4.1e-271
-84	COG_FUNCTION	COG0772	Bacterial cell division protein FtsW, lipid II flippase	0
-84	COG_CATEGORY		D	0
-84	GO_TERMS		GO:0000003, GO:0000910, GO:0003674, GO:0005215, GO:0005575, GO:0005623, GO:0005886, GO:0005887, GO:0006810, GO:0007049, GO:0008150, GO:0008360, GO:0009987, GO:0015647, GO:0015648, GO:0015835, GO:0015836, GO:0016020, GO:0016021, GO:0019954, GO:0022402, GO:0022603, GO:0022604, GO:0022892, GO:0031224, GO:0031226, GO:0032153, GO:0032155, GO:0032505, GO:0043093, GO:0044425, GO:0044459, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0050789, GO:0050793, GO:0050794, GO:0051128, GO:0051179, GO:0051234, GO:0051301, GO:0065007, GO:0065008, GO:0071702, GO:0071705, GO:0071944, GO:1901264, GO:1901505	0
-84	KEGG_PATHWAYS		map04112	0
-85	EGGNOG_BACT	316385.ECDH10B_0072	Cell wall formation. Catalyzes the transfer of a GlcNAc subunit on undecaprenyl-pyrophosphoryl-MurNAc-pentapeptide (lipid intermediate I) to form undecaprenyl-pyrophosphoryl-MurNAc- (pentapeptide)GlcNAc (lipid intermediate II) (By similarity)	1.6e-236
-85	COG_FUNCTION	COG0707	UDP-N-acetylglucosamine:LPS N-acetylglucosamine transferase	0
-85	COG_CATEGORY		M	0
-85	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005623, GO:0005886, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008194, GO:0008375, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016020, GO:0016740, GO:0016757, GO:0016758, GO:0030203, GO:0034645, GO:0040007, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0050511, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:0071944, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-85	KEGG_PATHWAYS		map00550, map01100, map04112	0
-86	EGGNOG_BACT	155864.Z0101	Cell wall formation (By similarity)	0
-86	COG_FUNCTION	COG0773	UDP-N-acetylmuramate-alanine ligase	0
-86	COG_CATEGORY		M	0
-86	GO_TERMS		GO:0000166, GO:0000270, GO:0000287, GO:0001882, GO:0001883, GO:0003674, GO:0003824, GO:0005488, GO:0005524, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008763, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016874, GO:0016879, GO:0016881, GO:0017076, GO:0030203, GO:0030554, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032559, GO:0034645, GO:0035639, GO:0036094, GO:0040007, GO:0042546, GO:0043167, GO:0043168, GO:0043169, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0046872, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:0097159, GO:1901135, GO:1901137, GO:1901265, GO:1901363, GO:1901564, GO:1901566, GO:1901576	0
-86	KEGG_PATHWAYS		map00471, map00473, map00550, map01100	0
-87	EGGNOG_BACT	316385.ECDH10B_0074	Cell wall formation (By similarity)	3e-202
-87	COG_FUNCTION	COG1181	D-alanine-D-alanine ligase and related ATP-grasp enzymes	0
-87	COG_CATEGORY		M	0
-87	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006023, GO:0006024, GO:0006807, GO:0008150, GO:0008152, GO:0008716, GO:0009058, GO:0009059, GO:0009252, GO:0009273, GO:0009987, GO:0016874, GO:0016879, GO:0016881, GO:0030203, GO:0034645, GO:0042546, GO:0043170, GO:0044036, GO:0044038, GO:0044085, GO:0044237, GO:0044249, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0070589, GO:0071554, GO:0071704, GO:0071840, GO:1901135, GO:1901137, GO:1901564, GO:1901566, GO:1901576	0
-87	KEGG_PATHWAYS		map00473, map00550, map01100	0
-88	EGGNOG_BACT	155864.Z0103	Essential cell division protein. May link together the upstream cell division proteins, which are predominantly cytoplasmic, with the downstream cell division proteins, which are predominantly periplasmic. May control correct divisome assembly (By similarity)	7.7e-187
-88	COG_FUNCTION	COG1589	Cell division septal protein FtsQ	0
-88	COG_CATEGORY		M	0
-88	GO_TERMS		GO:0000003, GO:0000910, GO:0000917, GO:0005575, GO:0005623, GO:0005886, GO:0005887, GO:0007049, GO:0008150, GO:0009987, GO:0016020, GO:0016021, GO:0016043, GO:0019954, GO:0022402, GO:0022607, GO:0031224, GO:0031226, GO:0032153, GO:0032155, GO:0032505, GO:0032506, GO:0043093, GO:0044085, GO:0044425, GO:0044459, GO:0044464, GO:0044699, GO:0044763, GO:0051301, GO:0071840, GO:0071944, GO:0090529	0
-88	KEGG_PATHWAYS		map04112	0
-89	EGGNOG_BACT	155864.Z0104	This protein may be involved in anomalous filament growth. May be a component of the septum (By similarity)	4.4e-281
-89	COG_FUNCTION	COG0849	Cell division ATPase FtsA	0
-89	COG_CATEGORY		D	0
-89	GO_TERMS		GO:0000166, GO:0000910, GO:0001882, GO:0001883, GO:0003674, GO:0005488, GO:0005515, GO:0005524, GO:0005575, GO:0005623, GO:0005886, GO:0007049, GO:0008150, GO:0009898, GO:0009987, GO:0016020, GO:0017076, GO:0022402, GO:0030554, GO:0032153, GO:0032155, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032559, GO:0035639, GO:0036094, GO:0042802, GO:0043167, GO:0043168, GO:0044425, GO:0044459, GO:0044464, GO:0044699, GO:0044763, GO:0051301, GO:0071944, GO:0097159, GO:1901265, GO:1901363	0
-89	KEGG_PATHWAYS		map04112	0
-90	EGGNOG_BACT	155864.Z0105	Essential cell division protein that forms a contractile ring structure (Z ring) at the future cell division site. The regulation of the ring assembly controls the timing and the location of cell division. One of the functions of the FtsZ ring is to recruit other cell division proteins to the septum to produce a new cell wall between the dividing cells. Binds GTP and shows GTPase activity (By similarity)	2.7e-247
-90	COG_FUNCTION	COG0206	Cell division GTPase FtsZ	0
-90	COG_CATEGORY		D	0
-90	GO_TERMS		GO:0000166, GO:0000287, GO:0000910, GO:0000917, GO:0001882, GO:0001883, GO:0003674, GO:0003824, GO:0003924, GO:0005488, GO:0005525, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005886, GO:0006139, GO:0006152, GO:0006163, GO:0006184, GO:0006195, GO:0006461, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0007049, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009164, GO:0009166, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009987, GO:0016020, GO:0016043, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0017076, GO:0017111, GO:0019001, GO:0019439, GO:0019637, GO:0019693, GO:0022402, GO:0022607, GO:0032153, GO:0032155, GO:0032506, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032561, GO:0034622, GO:0034641, GO:0034655, GO:0035639, GO:0036094, GO:0040007, GO:0042278, GO:0042454, GO:0043167, GO:0043168, GO:0043169, GO:0043623, GO:0043933, GO:0044085, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044424, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0046039, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0046872, GO:0051258, GO:0051301, GO:0055086, GO:0065003, GO:0070271, GO:0071704, GO:0071822, GO:0071840, GO:0071944, GO:0072521, GO:0072523, GO:0090529, GO:0097159, GO:1901068, GO:1901069, GO:1901135, GO:1901136, GO:1901265, GO:1901292, GO:1901360, GO:1901361, GO:1901363, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658	0
-90	KEGG_PATHWAYS		map04112	0
-91	EGGNOG_BACT	155864.Z0106	involved in the biosynthesis of lipid A, a phosphorylated glycolipid that anchors the lipopolysaccharide to the outer membrane of the cell (By similarity)	2.5e-210
-91	COG_FUNCTION	COG0774	UDP-3-O-acyl-N-acetylglucosamine deacetylase	0
-91	COG_CATEGORY		M	0
-91	GO_TERMS		GO:0003674, GO:0003824, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005975, GO:0006629, GO:0006643, GO:0006644, GO:0006664, GO:0006793, GO:0006796, GO:0008150, GO:0008152, GO:0008610, GO:0008654, GO:0008759, GO:0009058, GO:0009245, GO:0009247, GO:0009311, GO:0009312, GO:0009987, GO:0016051, GO:0016787, GO:0016810, GO:0016811, GO:0019213, GO:0019637, GO:0044237, GO:0044238, GO:0044249, GO:0044255, GO:0044424, GO:0044464, GO:0044710, GO:0044723, GO:0046467, GO:0046493, GO:0071704, GO:0090407, GO:1901135, GO:1901137, GO:1901269, GO:1901271, GO:1901576	0
-91	KEGG_PATHWAYS		map00061, map00540, map01100	0
-92	EGGNOG_BACT	198214.SF0094	Regulates secA expression by translational coupling of the secM secA operon. Translational pausing at a specific Pro residue 5 residues before the end of the protein may allow disruption of a mRNA repressor helix that normally suppresses secA translation initiation (By similarity)	1.1e-133
-92	COG_CATEGORY		K	0
-92	GO_TERMS		GO:0003674, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006417, GO:0008150, GO:0009889, GO:0010468, GO:0010556, GO:0010608, GO:0019222, GO:0031323, GO:0031326, GO:0032268, GO:0042597, GO:0044424, GO:0044444, GO:0044464, GO:0045182, GO:0050789, GO:0050794, GO:0051246, GO:0060255, GO:0065007, GO:0080090, GO:2000112	0
-92	KEGG_PATHWAYS		map03060, map03070	0
-93	EGGNOG_BACT	316385.ECDH10B_0080	Part of the Sec protein translocase complex. Interacts with the SecYEG preprotein conducting channel. Has a central role in coupling the hydrolysis of ATP to the transfer of proteins into and across the cell membrane, serving both as a receptor for the preprotein-SecB complex and as an ATP-driven molecular motor driving the stepwise translocation of polypeptide chains across the membrane (By similarity)	0
-93	COG_FUNCTION	COG0653	Preprotein translocase subunit SecA (ATPase, RNA helicase)	0
-93	COG_CATEGORY		U	0
-93	GO_TERMS		GO:0000166, GO:0001882, GO:0001883, GO:0003674, GO:0003824, GO:0005488, GO:0005524, GO:0005575, GO:0005576, GO:0005618, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0005886, GO:0006139, GO:0006152, GO:0006163, GO:0006195, GO:0006200, GO:0006605, GO:0006725, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0006810, GO:0006886, GO:0006950, GO:0006952, GO:0008104, GO:0008150, GO:0008152, GO:0009056, GO:0009116, GO:0009117, GO:0009119, GO:0009123, GO:0009125, GO:0009126, GO:0009128, GO:0009141, GO:0009143, GO:0009144, GO:0009146, GO:0009150, GO:0009154, GO:0009158, GO:0009161, GO:0009164, GO:0009166, GO:0009167, GO:0009169, GO:0009199, GO:0009203, GO:0009205, GO:0009207, GO:0009259, GO:0009261, GO:0009306, GO:0009579, GO:0009607, GO:0009987, GO:0015031, GO:0016020, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0016887, GO:0017076, GO:0017111, GO:0019439, GO:0019637, GO:0019693, GO:0020012, GO:0030312, GO:0030554, GO:0030682, GO:0031522, GO:0032549, GO:0032550, GO:0032553, GO:0032555, GO:0032559, GO:0032940, GO:0032991, GO:0033036, GO:0034357, GO:0034613, GO:0034641, GO:0034655, GO:0035639, GO:0036094, GO:0040007, GO:0042278, GO:0042454, GO:0042651, GO:0043167, GO:0043168, GO:0043234, GO:0043952, GO:0044237, GO:0044238, GO:0044248, GO:0044270, GO:0044281, GO:0044403, GO:0044413, GO:0044415, GO:0044419, GO:0044424, GO:0044436, GO:0044444, GO:0044464, GO:0044699, GO:0044710, GO:0044763, GO:0044765, GO:0045184, GO:0046034, GO:0046128, GO:0046130, GO:0046434, GO:0046483, GO:0046700, GO:0046903, GO:0046907, GO:0050896, GO:0051179, GO:0051234, GO:0051641, GO:0051649, GO:0051701, GO:0051704, GO:0051707, GO:0051805, GO:0051807, GO:0051832, GO:0051834, GO:0052059, GO:0052173, GO:0052200, GO:0052385, GO:0052550, GO:0052564, GO:0052567, GO:0052572, GO:0055085, GO:0055086, GO:0065002, GO:0070727, GO:0071702, GO:0071704, GO:0071806, GO:0071944, GO:0072521, GO:0072523, GO:0075136, GO:0097159, GO:1901135, GO:1901136, GO:1901265, GO:1901292, GO:1901360, GO:1901361, GO:1901363, GO:1901564, GO:1901565, GO:1901575, GO:1901657, GO:1901658	0
-93	KEGG_PATHWAYS		map03060, map03070	0
-94	EGGNOG_BACT	199310.c0117	mutator MutT protein	7.5e-89
-94	COG_FUNCTION	COG0494	8-oxo-dGTP pyrophosphatase MutT and related house-cleaning NTP pyrophosphohydrolases, NUDIX family	0
-94	COG_CATEGORY		L	0
-94	GO_TERMS		GO:0000287, GO:0003674, GO:0003824, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006139, GO:0006259, GO:0006281, GO:0006725, GO:0006807, GO:0006950, GO:0006974, GO:0008150, GO:0008152, GO:0008413, GO:0009987, GO:0016462, GO:0016787, GO:0016817, GO:0016818, GO:0030145, GO:0033554, GO:0034641, GO:0043167, GO:0043169, GO:0043170, GO:0044237, GO:0044238, GO:0044260, GO:0044424, GO:0044464, GO:0044699, GO:0044763, GO:0046483, GO:0046872, GO:0046914, GO:0047429, GO:0050896, GO:0051716, GO:0071704, GO:0090304, GO:1901360	0
-95	EGGNOG_BACT	155864.Z0111	Inhibits all the catalytic activities of DNA gyrase by preventing its interaction with DNA. Acts by binding directly to the C-terminal domain of GyrB, which probably disrupts DNA binding by the gyrase (By similarity)	1.2e-45
-95	COG_FUNCTION	COG3024	Endogenous inhibitor of DNA gyrase, YacG/DUF329 family	0
-95	COG_CATEGORY		S	0
-95	GO_TERMS		GO:0003674, GO:0004857, GO:0005488, GO:0006140, GO:0008150, GO:0008270, GO:0008657, GO:0009118, GO:0009894, GO:0010911, GO:0019219, GO:0019220, GO:0019222, GO:0030234, GO:0030811, GO:0031323, GO:0031329, GO:0032780, GO:0033121, GO:0042030, GO:0043086, GO:0043167, GO:0043169, GO:0043462, GO:0044092, GO:0046872, GO:0046914, GO:0050789, GO:0050790, GO:0050794, GO:0051171, GO:0051174, GO:0051336, GO:0051346, GO:0060589, GO:0060590, GO:0065007, GO:0065009, GO:0072586, GO:0080090, GO:1900542, GO:2000371, GO:2000372	0
-96	EGGNOG_BACT	316385.ECDH10B_0083	Cell division factor that enhances FtsZ-ring assembly. Directly interacts with FtsZ and promotes bundling of FtsZ protofilaments, with a reduction in FtsZ GTPase activity (By similarity)	3.1e-168
-96	COG_FUNCTION	COG4582	Cell division protein ZapD, interacts with FtsZ	0
-96	COG_CATEGORY		S	0
-96	GO_TERMS		GO:0000003, GO:0000910, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0007049, GO:0008150, GO:0009987, GO:0019954, GO:0022402, GO:0032153, GO:0032505, GO:0043093, GO:0044424, GO:0044464, GO:0044699, GO:0044763, GO:0051301	0
-97	EGGNOG_BACT	155864.Z0113	Catalyzes the phosphorylation of the 3'-hydroxyl group of dephosphocoenzyme A to form coenzyme A (By similarity)	3e-134
-97	COG_FUNCTION	COG0237	Dephospho-CoA kinase	0
-97	COG_CATEGORY		H	0
-97	GO_TERMS		GO:0000166, GO:0001882, GO:0001884, GO:0002135, GO:0003674, GO:0003824, GO:0004140, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006139, GO:0006163, GO:0006164, GO:0006725, GO:0006732, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0009058, GO:0009108, GO:0009116, GO:0009117, GO:0009119, GO:0009150, GO:0009152, GO:0009163, GO:0009165, GO:0009259, GO:0009260, GO:0009987, GO:0015936, GO:0015937, GO:0016301, GO:0016310, GO:0016740, GO:0016772, GO:0016773, GO:0017076, GO:0018130, GO:0019103, GO:0019438, GO:0019637, GO:0019693, GO:0030554, GO:0032549, GO:0032551, GO:0032552, GO:0032553, GO:0032554, GO:0032557, GO:0032558, GO:0032564, GO:0033865, GO:0033866, GO:0033875, GO:0034030, GO:0034032, GO:0034033, GO:0034641, GO:0034654, GO:0036094, GO:0040007, GO:0042278, GO:0042451, GO:0042455, GO:0043167, GO:0043168, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044424, GO:0044444, GO:0044464, GO:0044710, GO:0046128, GO:0046129, GO:0046390, GO:0046483, GO:0051186, GO:0051188, GO:0055086, GO:0071704, GO:0072521, GO:0072522, GO:0090407, GO:0097159, GO:1901135, GO:1901137, GO:1901265, GO:1901293, GO:1901360, GO:1901362, GO:1901363, GO:1901564, GO:1901566, GO:1901576, GO:1901657, GO:1901659	0
-97	KEGG_PATHWAYS		map00770, map01100	0
-98	EGGNOG_BACT	199310.c0124	Catalyzes the conversion of inosine 5'-phosphate (IMP) to xanthosine 5'-phosphate (XMP), the first committed and rate- limiting step in the de novo synthesis of guanine nucleotides, and therefore plays an important role in the regulation of cell growth (By similarity)	5.3e-236
-98	COG_FUNCTION	COG0516	IMP dehydrogenase/GMP reductase	0
-98	COG_CATEGORY		F	0
-98	GO_TERMS		GO:0003674, GO:0003824, GO:0003920, GO:0005488, GO:0005515, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006139, GO:0006725, GO:0006807, GO:0008150, GO:0008152, GO:0009987, GO:0015949, GO:0016491, GO:0016651, GO:0016657, GO:0034641, GO:0042802, GO:0044237, GO:0044238, GO:0044281, GO:0044424, GO:0044464, GO:0044710, GO:0046483, GO:0055086, GO:0055114, GO:0071704, GO:1901360	0
-98	KEGG_PATHWAYS		map00230, map00983, map01100, map01110	0
-99	EGGNOG_BACT	316385.ECDH10B_0086	type IV pilin biogenesis protein	1.3e-265
-99	COG_FUNCTION	COG1459	Type II secretory pathway, component PulF	0
-99	COG_CATEGORY		U	0
-99	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0006810, GO:0008104, GO:0008150, GO:0009297, GO:0009306, GO:0009987, GO:0015031, GO:0015628, GO:0016020, GO:0016043, GO:0022607, GO:0030030, GO:0030031, GO:0030255, GO:0032940, GO:0033036, GO:0043711, GO:0044085, GO:0044097, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0045184, GO:0046903, GO:0051179, GO:0051234, GO:0051641, GO:0051649, GO:0055085, GO:0071702, GO:0071806, GO:0071840, GO:0071944	0
-99	KEGG_PATHWAYS		map03070	0
-100	EGGNOG_BACT	316385.ECDH10B_0087	pathway protein e	0
-100	COG_FUNCTION	COG2804	Type II secretory pathway ATPase GspE/PulE or T4P pilus assembly pathway ATPase PilB	0
-100	COG_CATEGORY		U	0
-100	GO_TERMS		GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006276, GO:0006810, GO:0008104, GO:0008150, GO:0009297, GO:0009306, GO:0009987, GO:0015031, GO:0015628, GO:0016043, GO:0022607, GO:0030030, GO:0030031, GO:0032940, GO:0033036, GO:0043711, GO:0044085, GO:0044424, GO:0044464, GO:0044699, GO:0044763, GO:0044765, GO:0045184, GO:0046903, GO:0051179, GO:0051234, GO:0051641, GO:0051649, GO:0055085, GO:0071702, GO:0071806, GO:0071840	0
-100	KEGG_PATHWAYS		map03070	0
-101	EGGNOG_BACT	316385.ECDH10B_0088	Major pilin subunit	1.2e-98
-101	COG_FUNCTION	COG4969	Tfp pilus assembly protein, major pilin PilA	0
-101	COG_CATEGORY		U	0
-101	GO_TERMS		GO:0003674, GO:0005198, GO:0005575, GO:0005623, GO:0008150, GO:0009289, GO:0009987, GO:0016043, GO:0030030, GO:0042995, GO:0044464, GO:0044699, GO:0044763, GO:0071840	0
-101	KEGG_PATHWAYS		map02020	0
-102	EGGNOG_BACT	316385.ECDH10B_0089	nicotinate-nucleotide pyrophosphorylase	4.9e-198
-102	COG_FUNCTION	COG0157	Nicotinate-nucleotide pyrophosphorylase	0
-102	COG_CATEGORY		H	0
-102	GO_TERMS		GO:0003674, GO:0003824, GO:0004514, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0006082, GO:0006139, GO:0006520, GO:0006531, GO:0006725, GO:0006732, GO:0006733, GO:0006734, GO:0006739, GO:0006753, GO:0006793, GO:0006796, GO:0006807, GO:0008150, GO:0008152, GO:0009058, GO:0009066, GO:0009108, GO:0009117, GO:0009165, GO:0009435, GO:0009987, GO:0016740, GO:0016757, GO:0016763, GO:0018130, GO:0019355, GO:0019359, GO:0019362, GO:0019363, GO:0019438, GO:0019637, GO:0019674, GO:0019752, GO:0034627, GO:0034628, GO:0034641, GO:0034654, GO:0043436, GO:0043648, GO:0044237, GO:0044238, GO:0044249, GO:0044271, GO:0044281, GO:0044424, GO:0044464, GO:0044710, GO:0046483, GO:0046496, GO:0051186, GO:0051188, GO:0055086, GO:0071704, GO:0072524, GO:0072525, GO:0090407, GO:1901293, GO:1901360, GO:1901362, GO:1901564, GO:1901566, GO:1901576, GO:1901605	0
-102	KEGG_PATHWAYS		map00760, map01100	0
-103	EGGNOG_BACT	316385.ECDH10B_0090	N-Acetylmuramoyl-L-alanine amidase	4.6e-132
-103	COG_FUNCTION	COG3023	N-acetyl-anhydromuramyl-L-alanine amidase AmpD	0
-103	COG_CATEGORY		M	0
-103	GO_TERMS		GO:0000270, GO:0003674, GO:0003824, GO:0005488, GO:0005575, GO:0005618, GO:0005622, GO:0005623, GO:0005737, GO:0006022, GO:0006026, GO:0006027, GO:0006807, GO:0008150, GO:0008152, GO:0008270, GO:0008745, GO:0009056, GO:0009057, GO:0009253, GO:0009254, GO:0009274, GO:0009276, GO:0009279, GO:0009392, GO:0016020, GO:0016787, GO:0016810, GO:0016811, GO:0019867, GO:0030203, GO:0030312, GO:0030313, GO:0031975, GO:0043167, GO:0043169, GO:0043170, GO:0044424, GO:0044462, GO:0044464, GO:0046872, GO:0046914, GO:0071704, GO:0071944, GO:1901135, GO:1901136, GO:1901564, GO:1901565, GO:1901575	0
-104	EGGNOG_BACT	198214.SF0108	regulatory protein AmpE	1.8e-192
-104	COG_FUNCTION	COG3725	Membrane protein required for beta-lactamase induction	0
-104	COG_CATEGORY		V	0
-104	GO_TERMS		GO:0005575, GO:0005623, GO:0005886, GO:0016020, GO:0044464, GO:0071944	0
-105	EGGNOG_BACT	665029.EAMY_2839	amino acid	3.4e-266
-105	COG_FUNCTION	COG1113	L-asparagine transporter and related permeases	0
-105	COG_CATEGORY		E	0
-106	EGGNOG_BACT	155864.Z0123	transcriptional regulator	1e-162
-106	COG_FUNCTION	COG2186	DNA-binding transcriptional regulator, FadR family	0
-106	COG_CATEGORY		K	0
-106	GO_TERMS		GO:0001071, GO:0003674, GO:0003700, GO:0006355, GO:0008150, GO:0009889, GO:0009890, GO:0009891, GO:0009892, GO:0009893, GO:0010468, GO:0010556, GO:0010557, GO:0010558, GO:0010604, GO:0010605, GO:0010628, GO:0010629, GO:0019219, GO:0019222, GO:0031323, GO:0031324, GO:0031325, GO:0031326, GO:0031327, GO:0031328, GO:0045892, GO:0045893, GO:0045934, GO:0045935, GO:0048518, GO:0048519, GO:0048522, GO:0048523, GO:0050789, GO:0050794, GO:0051171, GO:0051172, GO:0051173, GO:0051252, GO:0051253, GO:0051254, GO:0060255, GO:0065007, GO:0080090, GO:2000112, GO:2000113, GO:2001141	0
-107	EGGNOG_BACT	155864.Z0124	Component of the pyruvate dehydrogenase (PDH) complex, that catalyzes the overall conversion of pyruvate to acetyl-CoA and CO(2) (By similarity)	0
-107	COG_FUNCTION	COG2609	Pyruvate dehydrogenase complex, dehydrogenase (E1) component	0
-107	COG_CATEGORY		C	0
-107	GO_TERMS		GO:0003674, GO:0003824, GO:0004738, GO:0004739, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006082, GO:0006084, GO:0006085, GO:0006086, GO:0006090, GO:0006637, GO:0006732, GO:0006793, GO:0008150, GO:0008152, GO:0009058, GO:0009108, GO:0009987, GO:0016020, GO:0016491, GO:0016624, GO:0016903, GO:0019752, GO:0032787, GO:0032991, GO:0035383, GO:0035384, GO:0043234, GO:0043436, GO:0044237, GO:0044249, GO:0044281, GO:0044424, GO:0044444, GO:0044445, GO:0044464, GO:0044710, GO:0045250, GO:0045254, GO:0051186, GO:0051188, GO:0055114, GO:0071616, GO:0071704, GO:1901576	0
-107	KEGG_PATHWAYS		map00010, map00020, map00620, map00650, map01100, map01110, map01120	0
-108	EGGNOG_BACT	316385.ECDH10B_0095	dihydrolipoamide acetyltransferase	0
-108	COG_FUNCTION	COG0508	Pyruvate/2-oxoglutarate dehydrogenase complex, dihydrolipoamide acyltransferase (E2) component	0
-108	COG_CATEGORY		C	0
-108	GO_TERMS		GO:0003674, GO:0003824, GO:0004742, GO:0005488, GO:0005504, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0006082, GO:0006084, GO:0006085, GO:0006086, GO:0006090, GO:0006637, GO:0006732, GO:0006793, GO:0008150, GO:0008152, GO:0008289, GO:0009058, GO:0009108, GO:0009987, GO:0016407, GO:0016417, GO:0016418, GO:0016740, GO:0016746, GO:0016747, GO:0019752, GO:0030523, GO:0031405, GO:0031406, GO:0032787, GO:0032991, GO:0033293, GO:0035383, GO:0035384, GO:0043167, GO:0043168, GO:0043234, GO:0043436, GO:0044237, GO:0044249, GO:0044281, GO:0044424, GO:0044444, GO:0044445, GO:0044464, GO:0044710, GO:0045250, GO:0045254, GO:0048037, GO:0050662, GO:0051186, GO:0051188, GO:0071616, GO:0071704, GO:0097159, GO:1901363, GO:1901576, GO:1901681	0
-108	KEGG_PATHWAYS		map00010, map00020, map00620, map01100, map01110, map01120	0
-109	EGGNOG_BACT	155864.Z0126	dihydrolipoyl dehydrogenase	0
-109	COG_FUNCTION	COG1249	Pyruvate/2-oxoglutarate dehydrogenase complex, dihydrolipoamide dehydrogenase (E3) component or related enzyme	0
-109	COG_CATEGORY		C	0
-109	GO_TERMS		GO:0000166, GO:0003674, GO:0003824, GO:0004148, GO:0005488, GO:0005575, GO:0005622, GO:0005623, GO:0005737, GO:0005829, GO:0005886, GO:0006082, GO:0006084, GO:0006085, GO:0006086, GO:0006090, GO:0006103, GO:0006520, GO:0006544, GO:0006546, GO:0006637, GO:0006732, GO:0006793, GO:0006807, GO:0008150, GO:0008152, GO:0008270, GO:0009056, GO:0009058, GO:0009063, GO:0009069, GO:0009071, GO:0009108, GO:0009987, GO:0015036, GO:0016020, GO:0016054, GO:0016491, GO:0016651, GO:0016667, GO:0016668, GO:0019464, GO:0019752, GO:0032787, GO:0032991, GO:0035383, GO:0035384, GO:0036094, GO:0043167, GO:0043168, GO:0043169, GO:0043234, GO:0043436, GO:0043648, GO:0044237, GO:0044238, GO:0044248, GO:0044249, GO:0044281, GO:0044282, GO:0044424, GO:0044444, GO:0044445, GO:0044464, GO:0044710, GO:0044712, GO:0045250, GO:0045254, GO:0046395, GO:0046872, GO:0046914, GO:0048037, GO:0050660, GO:0050662, GO:0051186, GO:0051188, GO:0055114, GO:0071616, GO:0071704, GO:0071944, GO:0097159, GO:1901265, GO:1901363, GO:1901564, GO:1901565, GO:1901575, GO:1901576, GO:1901605, GO:1901606	0
-109	KEGG_PATHWAYS		map00010, map00020, map00260, map00280, map00620, map01100, map01110, map01120	0
-110	EGGNOG_BACT	481805.EcolC_3542	exported protein	0
-110	COG_CATEGORY		S	0
-111	EGGNOG_BACT	316385.ECDH10B_0098	Aconitate hydratase 2	0
-111	COG_FUNCTION	COG1049	Aconitase B	0
-111	COG_CATEGORY		C	0
-111	GO_TERMS		GO:0003674, GO:0003676, GO:0003723, GO:0003729, GO:0003730, GO:0003824, GO:0003994, GO:0005488, GO:0005975, GO:0006081, GO:0006082, GO:0006091, GO:0006097, GO:0006099, GO:0006417, GO:0006629, GO:0006631, GO:0008150, GO:0008152, GO:0009056, GO:0009060, GO:0009062, GO:0009889, GO:0009987, GO:0010468, GO:0010556, GO:0010608, GO:0015980, GO:0016042, GO:0016054, GO:0016829, GO:0016835, GO:0016836, GO:0019222, GO:0019541, GO:0019543, GO:0019626, GO:0019629, GO:0019752, GO:0031323, GO:0031326, GO:0032268, GO:0032787, GO:0043436, GO:0044237, GO:0044238, GO:0044242, GO:0044248, GO:0044255, GO:0044262, GO:0044281, GO:0044282, GO:0044710, GO:0044712, GO:0045333, GO:0046395, GO:0046459, GO:0046487, GO:0047456, GO:0050789, GO:0050794, GO:0051246, GO:0051536, GO:0051539, GO:0051540, GO:0055114, GO:0060255, GO:0065007, GO:0071704, GO:0072329, GO:0080090, GO:0097159, GO:1901363, GO:1901575, GO:2000112	0
-111	KEGG_PATHWAYS		map00020, map00630, map00640, map00720, map01100, map01110, map01120, map01210, map01230	0
-112	EGGNOG_BACT	155864.Z0129	UPF0231 protein	1.1e-81
-112	COG_FUNCTION	COG3112	Uncharacterized protein YacL, UPF0231 family	0
-112	COG_CATEGORY		S	0
-113	EGGNOG_BACT	155864.Z0130	Catalyzes the decarboxylation of S-adenosylmethionine to S-adenosylmethioninamine (dcAdoMet), the propylamine donor required for the synthesis of the polyamines spermine and spermidine from the diamine putrescine (By similarity)	5.2e-185
-113	COG_FUNCTION	COG1586	S-adenosylmethionine decarboxylase or arginine decarboxylase	0
-113	COG_CATEGORY		E	0
-113	GO_TERMS		GO:0003674, GO:0003824, GO:0004014, GO:0006576, GO:0006595, GO:0006596, GO:0006807, GO:0008150, GO:0008152, GO:0008216, GO:0008295, GO:0009058, GO:0009308, GO:0009309, GO:0009987, GO:0016829, GO:0016830, GO:0016831, GO:0034641, GO:0042401, GO:0044106, GO:0044237, GO:0044249, GO:0044271, GO:0071704, GO:1901564, GO:1901566, GO:1901576	0
-113	KEGG_PATHWAYS		map00270, map00330, map01100	0
-114	EGGNOG_BACT	675812.VHA_003120	Catalyzes the production of spermidine from putrescine and decarboxylated S-adenosylmethionine (dcSAM), which serves as an aminopropyl donor (By similarity)	5.5e-123
-114	COG_FUNCTION	COG0421	Spermidine synthase	0
-114	COG_CATEGORY		E	0
-115	EGGNOG_BACT	316385.ECDH10B_0102	uncharacterized protein yacC	8.9e-78
-115	COG_CATEGORY		S	0
-116	EGGNOG_BACT	234621.RER_23040	Cell division protein that is required for growth during stress conditions. May be involved in protecting or stabilizing the divisomal assembly under conditions of stress (By similarity)	6.1e-69
-116	COG_FUNCTION	COG2132	Multicopper oxidase with three cupredoxin domains (includes cell division protein FtsP and spore coat protein CotA)	0
-116	COG_CATEGORY		D	0
-116	GO_TERMS		GO:0000003, GO:0000910, GO:0005575, GO:0005623, GO:0007049, GO:0008150, GO:0009987, GO:0019954, GO:0022402, GO:0030288, GO:0030312, GO:0030313, GO:0031975, GO:0032505, GO:0042597, GO:0043093, GO:0044462, GO:0044464, GO:0044699, GO:0044763, GO:0051301, GO:0071944	0
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/functions/README.txt b/anvio/tests/sandbox/mock_data_for_pangenomics/functions/README.txt
deleted file mode 100644
index fc27c1ae89..0000000000
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/functions/README.txt
+++ /dev/null
@@ -1,19 +0,0 @@
-So this is how I run the EggNOGs:
-
-    for i in aa_sequences_01 aa_sequences_02 aa_sequences_03; do time emapper.py -i $i.fa --output $i --cpu 40 --database bact --usemem --override; done ; letmeknow
-
-Then imported them into contigs databases:
-
-    anvi-script-run-eggnog-mapper -c 01.db --annotation aa_sequences_01.emapper.annotations --use-version 0.12.6
-    anvi-script-run-eggnog-mapper -c 01.db --annotation aa_sequences_01.emapper.annotations --use-version 0.12.6
-    anvi-script-run-eggnog-mapper -c 01.db --annotation aa_sequences_01.emapper.annotations --use-version 0.12.6
-
-Then I exported them back as simple matrices:
-
-    anvi-export-functions -c 01.db -o 01-functions.txt
-    anvi-export-functions -c 02.db -o 02-functions.txt
-    anvi-export-functions -c 03.db -o 03-functions.txt
-
-Why? Because we want to include functions in our tests, but we don't
-want to require people to have COGs setup for emapper or anything. This
-use of simple matrices simplifies things :/
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/group-information.txt b/anvio/tests/sandbox/mock_data_for_pangenomics/group-information.txt
index 3900f9b81b..79a2304131 100644
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/group-information.txt
+++ b/anvio/tests/sandbox/mock_data_for_pangenomics/group-information.txt
@@ -1,4 +1,6 @@
 layers	group
-g01	G1
-g02	G2
-g03	G2
+E_faecalis_6240	G1
+E_faecalis_6255	G2
+E_faecalis_6512	G2
+E_faecalis_6557	G1
+E_faecalis_6563	G1
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/README.pfam b/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/README.pfam
deleted file mode 100644
index df149e8f78..0000000000
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/README.pfam
+++ /dev/null
@@ -1,12 +0,0 @@
-setup PFAM:
-
-cd /workspace/meren/PFAM/
-wget ftp://ftp.ebi.ac.uk/pub/databases/Pfam/current_release/Pfam-A.hmm.gz
-gzip -d Pfam-A.hmm.gz
-hmmpress Pfam-A.hmm
-
-run like this:
-
-time hmmscan --cpu 20 -o /dev/null --cut_ga --domtblout aa_sequences_01.pfam /workspace/meren/PFAM/Pfam-A.hmm aa_sequences_01.fa
-time hmmscan --cpu 20 -o /dev/null --cut_ga --domtblout aa_sequences_02.pfam /workspace/meren/PFAM/Pfam-A.hmm aa_sequences_02.fa
-time hmmscan --cpu 20 -o /dev/null --cut_ga --domtblout aa_sequences_03.pfam /workspace/meren/PFAM/Pfam-A.hmm aa_sequences_03.fa
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_01.fa b/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_01.fa
deleted file mode 100644
index a16001013e..0000000000
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_01.fa
+++ /dev/null
@@ -1,238 +0,0 @@
->0
-MRVLKFGGTSVANAERFLRVADILESNARQGQVATVLSAPAKITNHLVAMIEKTISGQDALPNISDAERIFAELLTGLAAAQPGFPLAQLKTFVDQEFAQIKHVLHGISLLGQCPDSINAALICRGEKMSIAIMAGVLEARGHNVTVIDPVEKLLAVGHYLESTVDIAESTRRIAASRIPADHMVLMAGFTAGNEKGELVVLGRNGSDYSAAVLAACLRADCCEIWTDVDGVYTCDPRQVPDARLLKSMSYQEAMELSYFGAKVLHPRTITPIAQFQIPCLIKNTGNPQAPGTLIGASRDEDELPVKGISNLNNMAMFSVSGPGMKGMVGMAARVFAAMSRARISVVLITQSSSEYSISFCVPQSDCVRAERAMQEEFYLELKEGLLEPLAVTERLAIISVVGDGMRTLRGISAKFFAALARANINIVAIAQGSSERSISVVVNNDDATTGVRVTHQMLFNTDQVIEVFVIGVGGVGGALLEQLKRQQSWLKNKHIDLRVCGVANSKALLTNVHGLNLENWQEELAQAKEPFNLGRLIRLVKEYHLLNPVIVDCTSSQAVADQYADFLREGFHVVTPNKKANTSSMDYYHLLRHAAEKSRRKFLYDTNVGAGLPVIENLQNLLNAGDELMKFSGILSGSLSYIFGKLDEGMSFSEATTLAREMGYTEPDPRDDLSGMDVARKLLILARETGRELELADIEIEPVLPAEFNAEGDVAAFMANLSQLDDLFAARVAKARDEGKVLRYVGNIDEDGACRVKIAEVDGNDPLFKVKNGENALAFYSHYYQPLPLVLRGYGAGNDVTAAGVFADLLRTLSWKLGV
->1
-MVKVYAPASSANMSVGFDVLGAAVTPVDGALLGDVVTVEAAETFSLNNLGRFADKLPSEPRENIVYQCWERFCQELGKQIPVAMTLEKNMPIGSGLGSSACSVVAALMAMNEHCGKPLNDTRLLALMGELEGRISGSIHYDNVAPCFLGGMQLMIEENDIISQQVPGFDEWLWVLAYPGIKVSTAEARAILPAQYRRQDCIAHGRHLAGFIHACYSRQPELAAKLMKDVIAEPYRERLLPGFRQARQAVAEIGAVASGISGSGPTLFALCDKPDTAQRVADWLGKNYLQNQEGFVHICRLDTAGARVLEN
->2
-MKLYNLKDHNEQVSFAQAVTQGLGKNQGLFFPHDLPEFSLTEIDEMLKLDFVTRSAKILSAFIGDEIPQEILEERVRAAFAFPAPVANVESDVGCLELFHGPTLAFKDFGGRFMAQMLTHIAGDKPVTILTATSGDTGAAVAHAFYGLPNVKVVILYPRGKISPLQEKLFCTLGGNIETVAIDGDFDACQALVKQAFDDEELKVALGLNSANSINISRLLAQICYYFEAVAQLPQEARNQLVVSVPSGNFGDLTAGLLAKSLGLPVKRFIAATNVNDTVPRFLHDGQWSPKATQATLSNAMDVSQPNNWPRVEELFRRKIWQLKELGYAAVDDETTQQTMRELKELGYTSEPHAAVAYRALRDQLNPGEYGLFLGTAHPAKFKESVEAILGETLDLPKELAERADLPLLSHNLPADFAALRKLMMNHQ
->3
-MKKMQSIVLALSLVLVAPMAAQAAEITLVPSVKLQIGDRDNRGYYWDGGHWRDHGWWKQHYEWRGNRWHPHGPPPPPRHHKKAPHDHHGGHGPGKHHR
->4
-MLILISPAKTLDYQSPLTTTRYTLPELLDNSQQLIHEARKLTPPQISTLMRISDKLAGINAARFHDWQPDFTPENARQAILAFKGDVYTGLQAETFSEDDFDFAQQHLRMLSGLYGVLRPLDLMQPYRLEMGIRLENARGKDLYQFWGDIITNKLNEALAAQGDNVVINLASDEYFKSVKPKKLNAEIIKPVFLDEKNGKFKIISFYAKKARGLMSRFIIENRLTKPEQLTGFNSEGYFFDEASSSNGELVFKRYEQR
->5
-MPDFFSFINSVLWGSVMIYLLFGAGCWFTFRTGFVQFRYIRQFGKSLKNSIHPQPGGLTSFQSLCTSLAARVGSGNLAGVALAITAGGPGAVFWMWVAAFIGMATSFAECSLAQLYKERDANGQFRGGPAWYMARGLGMRWMGVLFAVFLLIAYGIIFSGIQANAVARALSFSFDFPPLVTGIILAVFALLAITRGLHGVARLMQGFVPLMAIIWVLTSLVICVMNIGQLPHVIWSIFESAFGWQEAAGGAAGYTLSQAITNGFQRSMFSNEAGMGSTPNAAAAAASWPPHPAAQGIVQMIGIFIDTLVICTASAMLILLAGNGTTYMPLEGIQLIQKAMRVLMGSWGAEFVTLVVILFAFSSIVANYIYAENNLFFLRLNNPKAIWCLRICTFATVIGGTLLSLPLMWQLADIIMACMAITNLTAILLLSPVVHTIASDYLRQRKLGVRPVFDPLRYPDIGRQLSPDAWDDVSQE
->6
-MTDKLTSLRQYTTVVADTGDIAAMKLYQPQDATTNPSLILNAAQIPEYRKLIDDAVAWAKQQSNDRAQQIVDATDKLAVNIGLEILKLVPGRISTEVDARLSYDTEASIAKAKRLIKLYNDAGISNDRILIKLASTWQGIRAAEQLEKEGINCNLTLLFSFAQARACAEAGVFLISPFVGRILDWYKANTDKKEYAPAEDPGVVSVSEIYQYYKEHGYETVVMGASFRNIGEILELAGCDRLTIAPTLLKELAESEGAIERKLSYTGEVKARPARITESEFLWQHNQDPMAVDKLAEGIRKFAIDQEKLEKMIGDLL
->7
-MNTLRIGLVSISDRASSGVYQDKGIPALEEWLTSALTTPFELETRLIPDEQAIIEQTLCELVDEMSCHLVLTTGGTGPARRDVTPDATLAVADREMPGFGEQMRQISLHFVPTAILSRQVGVIRKQALILNLPGQPKSIKETLEGVKDAAGNVVVHGIFASVPYCIQLLEGPYVETAPEVVAAFRPKSARRDVSE
->8
-MGNTKLANPAPLGLMGFGMTTILLNLHNVGYFALDGIILAMGIFYGGIAQIFAGLLEYKKGNTFGLTAFTSYGSFWLTLVAILLMPKLGLTDAPNAQFLGVYLGLWGVFTLFMFFGTLKGARVLQFVFFSLTVLFALLAIGNIAGNAAIIHFAGWIGLICGASAIYLAMGEVLNEQFGRTVLPIGESH
->9
-MNVNYLNDSDLDFLQHCSEEQLANFARLLTHNEKGKTRLSSVLIRNELFKSMEGHPEQHRRNWQLIAGELQHFGGDSIANKLRGHGKLYRAILLDVSKRLKLKADKEMSTFEIEQQLLEQFLRNTWKNMDEEHKQEFLHAVDARVNELEELLPLLMKDKLLAKGVSHLLSSQLTRILRTHAAMSVLGHGLLRGAGLGGPVGAALNGVKAVSGSAYRVTIPAVLQIACLRRMVSATQV
->10
-MKSVFTISASLAISLMLCCTAQANDHKLLGVIAMPRNETNDLALKLPVCRIVKRIQLSADHGDLQLSGASVYFKAARSASQSLNIPSEIKEGQTTDWININSDNDNKRCVSKITFSGHTVNSSDMATLKIIGDD
->11
-MGKIIGIDLGTTNSCVAIMDGTTPRVLENAEGDRTTPSIIAYTQDGETLVGQPAKRQAVTNPQNTLFAIKRLIGRRFQDEEVQRDVSIMPFKIIAADNGDAWVEVKGQKMAPPQISAEVLKKMKKTAEDYLGEPVTEAVITVPAYFNDAQRQATKDAGRIAGLEVKRIINEPTAAALAYGLDKGTGNRTIAVYDLGGGTFDISIIEIDEVDGEKTFEVLATNGDTHLGGEDFDSRLINYLVEEFKKDQGIDLRNDPLAMQRLKEAAEKAKIELSSAQQTDVNLPYITADATGPKHMNIKVTRAKLESLVEDLVNRSIEPLKVALQDAGLSVSDIDDVILVGGQTRMPMVQKKVAEFFGKEPRKDVNPDEAVAIGAAVQGGVLTGDVKDVLLLDVTPLSLGIETMGGVMTTLIAKNTTIPTKHSQVFSTAEDNQSAVTIHVLQGERKRAADNKSLGQFNLDGINPAPRGMPQIEVTFDIDADGILHVSAKDKNSGKEQKITIKASSGLNEDEIQKMVRDAEANAEADRKFEELVQTRNQGDHLLHSTRKQVEEAGDKLPADDKTAIESALTALETALKGEDKAAIEAKMQELAQVSQKLMEIAQQQHAQQQTAGADASANNAKDDDVVDAEFEEVKDKK
->12
-MAKQDYYEILGVSKTAEEHEIKKAYKRLAMKYHPDRNQGDKEAEAKFKEIKEAYEVLTDSQKRAAYDQYGHAAFEQGGMGGGGFGGGADFSDIFGDVFGDIFGGGRGRQRAARGADLRYNMELTLEEAVRGVTKEIRIPTLEECDVCHGSGAKPGTQPQTCPTCHGSGQVQMRQGFFAVQQTCPHCQGRGTLIKDPCNKCHGHGRVERSKTLSVKIPAGVDTGDRIRLAGEGEAGEHGAPAGDLYVQVQVKQHPIFEREGNNLYCEVPINFAMAALGGEIEVPTLDGRVKLKVPGETQTGKLFRMRGKGVKSVRGGAQGDLLCRVVVETPVGLNEKQKQLLQELQESFGGPTGEHNSPRSKSFFDGVKKFFDDLTR
->13
-MNYSHDNWSAILAHIGKPEELDTSARNAGALTRRREIRDAATLLRLGLAYGPGGMSLREVTAWAQLHDVATLSDVALLKRLRNAADWFGILAAQTLAVRAAVTGCTSGKRLRLVDGTAISAPGGGSAEWRLHMGYDPHTCQFTDFELTDSRDAERLDRFAQTADEIRIADRGFGSRPECIRSLAFGEADYIVRVHWRGLRWLTAEGMRFDMMGFLRGLDCGKNGETTVMIGNSGNKKAGAPFPARLIAVSLPPEKALISKTRLLSENRRKGRVVQAETLEAAGHVLLLTSLPEDEYSAEQVADCYRLRWQIELAFKRLKSLLHLDALRAKEPELAKAWIFANLLAAFLIDDIIQPSLDFPPRSAGSEKKN
->14
-MVIWSLQVAIRGTVSLTAYKTQLKNARHRLNEAPRRRILQMVQPLS
->15
-MLNTCRVPLTDRKVKEKRAMKQHKAMIVALIVICITAVVAALVTRKDLCEVHIRTGQTEVAVFTAYESE
->16
-MKHLHRFFSSDASGGIILIIAAILAMIMANSGATSGWYHDFLETPVQLRVGSLEINKNMLLWINDALMAVFFLLVGLEVKRELMQGSLASLRQAAFPVIAAIGGMIVPALLYLAFNYADPITREGWAIPAATDIAFALGVLALLGSRVPLALKIFLMALAIIDDLGAIIIIALFYTNDLSMASLGVAAVAIAVLAVLNLCGVRRTGVYILVGVVLWTAVLKSGVHATLAGVIVGFFIPLKEKHGRSPAKRLEHVLHPWVAYLILPLFAFANAGVSLQGVTLDGLTSILPLGIIAGLLIGKPLGISLFCWLALRLKLAHLPEGTTYQQIMAVGILCGIGFTMSIFIASLAFGSVDPELINWAKLGILVGSISSAVIGYSWLRVRLRPSV
->17
-MSHINYNHLYYFWHVYKEGSVVGAAEALYLTPQTITGQIRALEERLQGKLFKRKGRGLEPSELGELVYRYADKMFTLSQEMLDIVNYRKESNLLFDVGVADALSKRLVSSVLNAAVVEGEPIHLRCFESTHEMLLEQLSQHKLDMIISDCPIDSTQQEGLFSVRIGECGVSFWCTNPPPEKPFPACLEERRLLIPGRRSMLGRKLLNWFNSQGLNVEILGEFDDAALMKAFGAMHNAIFVAPTLYAYDFYADKTVVEIGRVENVMEEYHAIFAERMIQHPAVQRICNTDYSALFSPAAR
->18
-MKWLLLITLSLYSFIVQSAPCALTNVGEQRGTYILKPLSMKGNLTAEKIENTGNIIECTDLQETTNAIKVHFLTQNALKFKVGSRHYIINFPFEYDGKKIELPGKSSYNLEEMLSAINFTIPYSIASVSDSSNTADIFPGTPFPLLFEIEVSSCTGNNTNCNSVRFNYNLNTILQVNLMTCGFEDQSIDTGRFVLSRINNENYQFHHIRFDCIQGEQGELVFEPSDVEYYFEPVTIQESGTSILKNELENSEDGAGQVGFQLSNDGTNEIQYGKSNYYSFQHPHEGSNQIPLFIRPRTYGNNVSSGQIMSRVKIVVMYN
->19
-MAAWRYASQDYRTFSDHLYENDKHYHQSDYNDFYDIGRKNSLSANIMQPLSNNLGNVSLSALWRNYWGRSGNAKDYQFSYSNNWQHISYTFSASQSYDENNKEEERFNLFISIPFYWGDDIAKTRHQINLSNSTSFSKDGYSSNNTGITGIAGEHDQLNYGIYVNQQQQNNDTSLGTNLSWRTPIAIIDGSYSHSKNAWQSGGSISSGLVVWSGGINITNQLSDTFAILDAPGLEGAHINGQKYNRTNSKGQVVYDPIIPHRENHLVLDIANSESETELQGNRQIIAPYRGAVSYVQFTTDQRKPWYIQALRPDGSPLTFGYDVLDLQENNIGVVGQGSRLFIRVDEIPTGIKVALNDEQNLFCTITFQHVIDENKTYICQ
->20
-MATNKFDVVFSYCGDNIKEFILLLPYNKSLEMYELNDQKIQYLTAPNINIHKMSLSNITIEKSNLSYGYYFSCVLSNISCFESDLSNTIFSNGEINNLFIKKSNIFGASFTNTRIKNLLCEDIMPGRWTTQLVNKHLGYRYTGVFKTLASIDDKPSRFEILIPLVQTLVRDNVKLNNDVYKELKKFMHDYDKTSPEMRKYLQSINESMFLMKNIAHQN
->21
-MASVSISCPSCSATDGVVRNGKSTAGHQRYLCSHCRKTWQLQFTYTASQPGTHQKIIDMAMNGVGCRATARIMGVGLNTILRHLKNSGRSR
->22
-MDEQWGYVGAKSRQRWLFYAYDRLRKTVVAHVFGERTMATLGRLMSLLSPFDVVIWMTDGWPLYESRLKGKLHVISKRYTQRIERHNLNLRQHLARLGRKSLSFSKSVELHDKVIGHYLNIKHYQ
->23
-MTDGISTSPHCLYKSNIVDDVIINKTRQNELVKVFCEYKTEFLILFDDFFRSQDFPKPSPVLHHFFQYTHLRDAHFYRCKLIEHTVQFYFLNTKASHYLDWMFLMTEQANVFLKRW
->24
-MANIKSAKKRAIQSEKARKHNASRRSMMRTFIKKVYAAIEAGDKAAAQKAFNEMQPIVDRQAAKGLIHKNKAARHKANLTAQINKLA
->25
-MKLIRGIHNLSQAPQEGCVLTIGNFDGVHRGHRALLQGLQEEGRKRNLPVMVMLFEPQPLELFATDKAPARLTRLREKLRYLAECGVDYVLCVRFDRRFAALTAQNFISDLLVKLLRVKFLAVGDDFRFGAGREGDFLLLQKAGMEYGFDITSTQTFCEGGVRISSTAVRQALADDNLALAESLLGHPFAISGRVVHGDELGRTIGFPTANVPLRRQVSPVKGVYAVEVLGLGEKPLPGVANIGTRPTVAGIRQQLEVHLLDVAMDLYGRHIQVVLRKKIRNEQRFASLDELKAQIARDELTAREFFGLTKPA
->26
-MSDYKSTLNLPETGFPMRGDLAKREPGMLARWTDDDLYGIIRAAKKGKKTFILHDGPPYANGSIHIGHSVNKILKDIIVKSKGLSGYDSPYVPGWDCHGLPIELKVEQEYGKPGEKFTAAEFRAKCREYAATQVDGQRKDFIRLGVLGDWSHPYLTMDFKTEANIIRALGKIIGNGHLHKGAKPVHWCVDCRSALAEAEVEYYDKTSPSIDVAFQAVDQDALKAKFAVSNVNGPISLVIWTTTPWTLPANRAISIAPDFDYALVQIDGQAVILAKDLVESVMQRIGVTDYTILSTVKGAELELLRFTHPFMGFDVPAILGDHVTLDAGTGAVHTAPGHGPDDYVIGQKYGLETANPVGPDGTYLPGTYPTLDGVNVFKANDIVVALLQEKGALLHVEKMQHSYPCCWRHKTPIIFRATPQWFVSMDQKGLRAQSLKEIKGVQWIPDWGQARIESMVANRPDWCISRQRTWGVPMSLFVHKDTEELHPRTLELMEEVAKRVEVNGIQAWWDLDAKEILGDEADQYVKVPDTLDVWFDSGSTHSSVVDVRPEFAGHAADMYLEGSDQHRGWFMSSLMISTAMKGKAPYRQVLTHGFTVDGQGRKMSKSIGNTVSPQDVMNKLGADILRLWVASTDYTGEMAVSDEILKRAADSYRRIRNTARFLLANLNGFDPAKDMVKPEEMVVLDRWAVGCAKAAQEDILKAYEAYDFHEVVQRLMRFCSVEMGSFYLDIIKDRQYTAKADSVARRSCQTALYHIAEALVRWMAPILSFTADEVWGYLPGEREKYVFTGEWYEGLFGLADSEAMNDAFWDELLKVRGEVNKVIEQARADKKVGGSLEAAVTLYAEPELAAKLTALGDELRFVLLTSGATVADYNDAPADAQQSEVLKGLKVALSKAEGEKCPRCWHYTQDVGKVAEHAEICGRCVSNVAGDGEKRKFA
->27
-MSQSICSTGLRWLWLVVVVLIIDLGSKYLILQNFALGDTVPLFPSLNLHYARNYGAAFSFLADSGGWQRWFFAGIAIGISVILAVMMYRSKATQKLNNIAYALIIGGALGNLFDRLWHGFVVDMIDFYVGGWHFATFNLADTAICVGAALIVLEGFLPSKAKKQ
->28
-MSESVQSNSAVLVHFTLKLDDGTTAESTRNNGKPALFRLGDASLSEGLEQHLLGLKVGDKTTFSLEPDAAFGVPSPDLIQYFSRREFMDAGEPEIGAIMLFTAMDGSEMPGVIREINGDSITVDFNHPLAGQTVHFDIEVLEIDPALEA
->29
-MQILLANPRGFCAGVDRAISIVENALAIYGAPIYVRHEVVHNRYVVDSLRERGAIFIEQISEVPDGAILIFSAHGVSQAVRNEAKSRDLTVFDATCPLVTKVHMEVARASRRGEESILIGHAGHPEVEGTMGQYSNPEGGMYLVESPDDVWKLTVKNEEKLSFMTQTTLSVDDTSDVIDALRKRFPKIVGPRKDDICYATTNRQEAVRALAEQAEVVLVVGSKNSSNSNRLAELAQRMGKRAFLIDDAKDIQEEWVKEVKCVGVTAGASAPDILVQNVVARLQQLGGGEAIPLEGREENIVFEVPKELRVDIREVD
->30
-MRLPIFLDTDPGIDDAVAIAAAIFAPELDLQLMTTVAGNVSVEKTTRNALQLLHFWNAEIPLAQGAAVPLVRAPRDAASVHGKSGMAGYDFVEHNRKPLEVPAFLAIRDALMRAPEPVTLVAIGPLTNIALLLSQCPECKPHIRRLVIMGGSAGRGNCTPNAEFNIAADPEAAACVFRSGIEIVMCGLDVTNQAILTPDYLATLPELNRTGKMLHALFSHYRSGSMQSGLRMHDLCAIAWLVRPDLFTLKPCFVAVETQGEFTSGTTVVDIDGCLGKPANVQVALDLNVKGFQQWVADLLALVP
->31
-MHDANIRVAIAGAGGRMGRQLIQAALALEGVQLGAALEREGSSLLGSDAGELAGAGKTGVTVQSSLDAIKDDFDVFIDFTRPEGTLNHLAFCRQHGKGMVIGTTGFDEAGKQAIRDAAADIAIVFAANFSVGVNVMLKLLEKAAKVMGDYTDIEIIEAHHRHKVDAPSGTALAMGEAIAHALDKDLKDCAVYSREGHTGERVPGTIGFATVRAGDIVGEHTAMFADIGERLEITHKASSRMTFANGAVRSALWLSGKESGLFDMRDVLDLNSL
->32
-MIKSALLVLEDGTQFHGRAIGATGSAVGEVVFNTSMTGYQEILTDPSYSRQIVTLTYPHIGNVGTNDADEESSQVHAQGLVIRDLPLIASNFRNTEDLSSYLKRHNIVAIADIDTRKLTRLLREKGAQNGCIIAGDNPDAALALEKARAFPGLNGMDLAKEVTTAEAYSWTQGSWTLTGGLPEAKKEDELPFHVVAYDFGAKRNILRMLVDRGCRLTIVPAQTSAEDVLKMNPDGIFLSNGPGDPAPCDYAITAIQKFLETDIPVFGICLGHQLLALASGAKTVKMKFGHHGGNHPVKDVEKNVVMITAQNHGFAVDEATLPANLRVTHKSLFDGTLQGIHRTDKPAFSFQGHPEASPGPHDAAPLFDHFIELIEQYRKTAK
->33
-MPKRTDIKSILILGAGPIVIGQACEFDYSGAQACKALREEGYRVILVNSNPATIMTDPEMADATYIEPIHWEVVRKIIEKERPDAVLPTMGGQTALNCALELERQGVLEEFGVTMIGATADAIDKAEDRRRFDVAMKKIGLETARSGIAHTMEEALAVAADVGFPCIIRPSFTMGGSGGGIAYNREEFEEICARGLDLSPTKELLIDESLIGWKEYEMEVVRDKNDNCIIVCSIENFDAMGIHTGDSITVAPAQTLTDKEYQIMRNASMAVLREIGVETGGSNVQFAVNPKNGRLIVIEMNPRVSRSSALASKATGFPIAKVAAKLAVGYTLDELMNDITGGRTPASFEPSIDYVVTKIPRFNFEKFAGANDRLTTQMKSVGEVMAIGRTQQESLQKALRGLEVGATGFDPKVSLDDPEALTKIRRELKDAGAERIWYIADAFRAGLSVDGVFNLTNIDRWFLVQIEELVRLEEKVAEVGITGLNAEFLRQLKRKGFADARLAKLAGVREAEIRKLRDQYDLHPVYKRVDTCAAEFATDTAYMYSTYEEECEANPSTDREKIMVLGGGPNRIGQGIEFDYCCVHASLALREDGYETIMVNCNPETVSTDYDTSDRLYFEPVTLEDVLEIVRIEKPKGVIVQYGGQTPLKLARALEAAGVPVIGTSPDAIDRAEDRERFQHAVERLKLKQPANATVTAIEMAVEKAKEIGYPLVVRPSYVLGGRAMEIVYDEADLRRYFQTAVSVSNDAPVLLDHFLDDAVEVDVDAICDGEMVLIGGIMEHIEQAGVHSGDSACSLPAYTLSQEIQDVMRQQVQKLAFELQVRGLMNVQFAVKNNEVYLIEVNPRAARTVPFVSKATGVPLAKVAARVMAGKSLAEQGVTKEVIPPYYSVKEVVLPFNKFPGVDPLLGPEMRSTGEVMGVGRTFAEAFAKAQLGSNSTMKKHGRALLSVREGDKERVVDLAAKLLKQGFELDATHGTAIVLGEAGINPRLVNKVHEGRPHIQDRIKNGEYTYIINTTSGRRAIEDSRVIRRSALQYKVHYDTTLNGGFATAMALNADATEKVISVQEMHAQIK
->34
-MCEGYVEKPLYLLIAEWMMAENRWVIAREISIHFDIEHSKAVNTLTYILSEVTEISCEVKMIPNKLEGRGCQCQRLVKVVDIDEQIYARLRNNSREKLVGVRKTPRIPAVPLTELNREQKWQMMLSKSMRR
->35
-MSYYAFEGLIPVVHPTAFVHPSAVLIGDVIVGAGVYIGPLASLRGDYGRLIVQAGANIQDGCIMHGYCDTDTIVGENGHIGHGAILHGCVIGRDALVGMNSVIMDGAVIGEESIVAAMSFVKAGFSGEKRQLLMGTPARAVRSVSDDELHWKRLNTKEYQDLVGRYHASLHETQPLRQMEENRPRLQGTTDVTPKR
->36
-MSESLHLTRNGSILEITLDRPKANAIDAKTSFEMGEVFLNFRDDPQLRVAIITGAGEKFFSAGWDLKAAAEGEAPDADFGPGGFAGLTEIFNLDKPVIAAVNGYAFGGGFELALAADFIVCADNASFALPEAKLGIVPDSGGVLRLPKILPPAIVNEMVMTGRRMGAEEALRWGIVNRVVSQAELMDNARELAQQLVNSAPLAIAALKEIYRTTSEMPVEEAYRYIRSGVLKHYPSVLHSEDAIEGPLAFAEKRDPVWKGR
->37
-MDIIVGQHLRQMWDDLADVYGHKTALICESSGGVVNRYSYLELNQEINRTANLFYTLGIRKGDKVALHLDNCPEFIFCWFGLAKIGAIMVPINACLLREESAWILQNSQACLLVTSAQFYPMYQQIQQEDATQLRHICLTDVALPADDGVSSFTQLKNQQPATLCYAPPLSTDDTAEILFTSGTTSRPKGVVITHYNLRFAGYYSAWQCALRDDDVYLTVMPAFHIDCQCTAAMAAFSAGATFVLVEKYSARAFWGQVQKYRATVTECIPMMIRTLMVQPPSANDRQHRLREVMFYLNLSEQEKDAFCERFGVRLLTSYGMTETIVGIIGDRPGDKRRWPSIGRAGFCYEAEIRDDHNCPLPAGEIGEICIKGVPGKTIFKEYFLNPKATAKVLEADGWLHTGDTGYRDEEGFFYFVDRRCNMIKRGGENVSCVELENIIATHPKIQDIVVVGIKDSIRDEAIKAFVVLNEGETLSEEEFFRFCEQNMAKFKVPSYLEIRKDLPRNCSGKIIRKNLK
->38
-MPAFPYTADYFSGLTATTAALAALHKARETGKGESIDIAMYEVMLRMGQYFMMDYFNGGEMCPRMSKGKDPYYAGCGLYKCADGYIVMELVGITQIEECFKDIGLAHLLGTPEIPEGTQLIHRIECPYGPLVEEKLDAWLATHTIAEVKERFAELNIACAKVLTVPELESNPQYVARESITQWQTMDGRTCKGPNIMPKFKNNPGQIWRGMPSHGMDTAAILKNIGYSENDIQELVSKGLAKVED
->39
-MDHLPMPKFGPLAGLRVVFSGIEIAGPFAGQMFAEWGAEVIWIENVAWADTIRVQPNYPQLSRRNLHALSLNIFKDEGREAFLKLMETTDIFIEASKGPAFARRGITDEVLWQHNPKLVIAHLSGFGQYGTEEYTNLPA
->40
-MDFNLNDEQELFVAGIRELMASENWEAYFAECDRDSVYPERFVKALADMGIDSLLIPEEHGGLDAGFVTLAAVWMELGRLGAPTYVLYQLPGGFNTFLREGTQEQIDKIMAFRGTGKQMWNSAITEPGAGSDVGSLKTTYTRRNGKIYLNGSKCFITSSAYTPYIVVMARDGASPDKPVYTEWFVDMSKPGIKVTKLEKLGLRMDSCCEITFDDVELDEKDMFGREGNGFNRVKEEFDHERFLVALTNYGTAMCAFEDAARYANQRVQFGEAIGRFQLIQEKFAHMAIKLNSMKNMLYEAAWKADNGTITSGDAAMCKYFCANAAFEVVDSAMQVLGGVGIAGNHRISRFWRDLRVDRVSGGSDEMQILTLGRAVLKQYR
->41
-MKNEKRKTGIEPKVFFPPLIIVGILCWLTVRDLDAANVVINAVFSYVTNVWGWAFEWYMVVMLFGWFWLVFGPYAKKRLGNEPPEFSTASWIFMMFASCTSAAVLFWGSIEIYYYISTPPFGLEPNSTGAKELGLAYSLFHWGPLPWATYSFLSVAFAYFFFVRKMEVIRPSSTLVPLVGEKHVKGLFGTIVDNFYLVALIFAMGTSLGLATPLVTECMQWLFGIPHTLQLDAIIITCWIILNAICVACGLQKGVRIASDVRSYLSFLMLGWVFIVSGASFIMNYFTDSVGMLLMYLPRMLFYTDPIAKGGFPQGWTVFYWAWWVIYAIQMSIFLARISRGRTVRELCFGMVLGLTASTWILWTVLGSNTLLLMDKNIINIPNLIEQYGVARAIIETWAALPLSTATMWGFFILCFIATVTLVNACSYTLAMSTCREVRDGEEPPLLVRIGWSILVGIIGIVLLALGGLKPIQTAIIAGGCPLFFVNIMVTLSFIKDAKQNWKD
->42
-MKIITCYKCVPDEQDIAVNNADGSLDFSKADAKISQYDLNAIEAACQLKQQAAEAQVTALSVGGKALTNAKGRKDVLSRGPDELIVVIDDQFEQALPQQTASALAAAAQKAGFDLILCGDGSSDLYAQQVGLLVGEILNIPAVNGVSKIISLTADTLTVERELEDETETLSIPLPAVVAVSTDINSPQIPSMKAILGAAKKPVQVWSAADIGFNAEAAWSEQQVAAPKQRERQRIVIEGDGEEQIAAFAENLRKVI
->43
-MNTFSQVWVFSDTPSRLPELMNGAQALANQINTFVLNDADGAQAIQLGANHVWKLNGKPDDRMIEDYAGVMADTIRQHGADGLVLLPNTRRGKLLAAKLGYRLKAAVSNDASTVSVQDGKATVKHMVYGGLAIGEERIATPYAVLTISSGTFDAAQPDASRTGETHTVEWQAPAVAITRTATQARQSNSVDLDKARLVVSVGRGIGSKENIALAEQLCKAIGAELACSRPVAENEKWMEHERYVGISNLMLKPELYLAVGISGQIQHMVGANASQTIFAINKDKNAPIFQYADYGIVGDAVKILPALTAALAR
->44
-MSEDIFDAIIVGAGLAGSVAALVLAREGAQVLVIERGNSAGAKNVTGGRLYAHSLEHIIPGFADSAPVERLITHEKLAFMTEKSAMTMDYCNGDETSPSQRSYSVLRSKFDAWLMEQAEEAGAQLITGIRVDNLVQRDGKVVGVEADGDVIEAKTVILADGVNSILAEKLGMAKRVKPTDVAVGVKELIELPKSVIEDRFQLQGNQGAACLFAGSPTDGLMGGGFLYTNENTLSLGLVCGLHHLHDAKKSVPQMLEDFKQHPAVAPLIAGGKLVEYSAHVVPEAGINMLPELVGDGVLIAGDAAGMCMNLGFTIRGMDLAIAAGEAAAKTVLSAMKSDDFSKQKLAEYRQHLESGPLRDMRMYQKLPAFLDNPRMFSGYPELAVGVARDLFTIDGSAPELMRKKILRHGKKVGFINLIKDGMKGVTVL
->45
-MTSPVNVDVKLGVNKFNVDEEHPHIVVKADADKQALELLVKACPAGLYKKQDDGSVRFDYAGCLECGTCRILGLGSALEQWEYPRGTFGVEFRYG
->46
-MQPSRNFDDLKFSSIHRRILLWGSGGPFLDGYVLVMIGVALEQLTPALKLDADWIGLLGAGTLAGLFVGTSLFGYISDKVGRRKMFLIDIIAIGVISVATMFVSSPVELLVMRVLIGIVIGADYPIATSMITEFSSTRQRAFSISFIAAMWYVGATCADLVGYWLYDVEGGWRWMLGSAAIPCLLILIGRFELPESPRWLLRKGRVKECEEMMIKLFGEPVAFDEEQPQQTRFRDLFNRRHFPFVLFVAAIWTCQVIPMFAIYTFGPQIVGLLGLGVGKNAALGNVVISLFFMLGCIPPMLWLNTAGRRPLLIGSFAMMTLALAVLGLIPDMGIWLVVMAFAVYAFFSGGPGNLQWLYPNELFPTDIRASAVGVIMSLSRIGTIVSTWALPIFINNYGISNTMLMGAGISLFGLLISVAFAPETRGMSLAQTSNMTIRGQRMG
->47
-MILIIYAHPYPHHSHANKRMLEQARTLEGVEIRSLYQLYPDFNIDIAAEQEALSRADLIVWQHPMQWYSIPPLLKLWIDKVFSHGWAYGHGGTALHGKHLLWAVTTGGGESHFEIGAHPGFDVLSQPLQATAIYCGLNWLPPFAMHCTFICDDETLEGQARHYKQRLLEWQEAHHG
->48
-MDSHTLIQALIYLGSAALIVPIAVRLGLGSVLGYLIAGCIIGPWGLRLVTDAESILHFAEIGVVLMLFIIGLELDPQRLWKLRAAVFGGGALQMVICGGLLGLFCMLLGLRWQVAELIGMTLALSSTAIAMQAMNERNLMVTQMGRSAFAVLLFQDIAAIPLVAMIPLLATSSASTTMGAFALSALKVAGALVLVVLLGRYVTRPALRFVARSGLREVFSAVALFLVFGFGLLLEEVGLSMAMGAFLAGVLLASSEYRHALESDIEPFKGLLLGLFFIGVGMSIDFGTLLENPLRIVILLLGFLIIKIAMLWLIARPLQVPNKQRRWFAVLLGQGSEFAFVVFGAAQMANVLEPEWAKSLTLAVALSMAATPILLVILNRLEQSSTEEAREADEIDEEQPRVIIAGFGRFGQITGRLLLSSGVKMVVLDHDPDHIETLRKFGMKVFYGDATRMDLLESAGAAKAEVLINAIDDPQTNLQLTEMVKEHFPHLQIIARARDVDHYIRLRQAGVEKPERETFEGALKTGRLALESLGLGPYEARERADVFRRFNIQMVEEMAMVENDTKARAAVYKRTSAMLSEIITEDREHLSLIQRHGWQGTEEGKHTGNMADEPETKPSS
->49
-MDSPAEYKIFLNIILAPVDDGLRFTYSGDNFFYREISMISLIAALAVDRVIGMENAMPWNLPADLAWFKRNTLNKPVIMGRHTWESIGRPLPGRKNIILSSQPGTDDRVTWVKSVDEAIAACGDVPEIMVIGGGRVYEQFLPKAQKLYLTHIDAEVEGDTHFPDYEPDDWESVFSEFHDADAQNSHSYCFEILERR
->50
-MATYLIGDVHGCYDELIALLHKVEFTPGKDTLWLTGDLVARGPGSLDVLRYVKSLGDSVRLVLGNHDLHLLAVFAGISRNKPKDRLTPLLEAPDADELLNWLRRQPLLQIDEEKKLVMAHAGITPQWDLQTAKECARDVEAVLSSDSYPFFLDAMYGDMPNNWSPELRGLGRLRFITNAFTRMRFCFPNGQLDMYSKESPEEAPAPLKPWFAIPGPVAEEYSIAFGHWASLEGKGTPEGIYALDTGCCWGGTLTCLRWEDKQYFVQPSNRHKDLGEAAAS
->51
-MINSPRVCIQVQSVYIEAQSSPDNERYVFAYTVTIRNLGRAPVQLLGRYWLITNGNGRETEVQGEGVVGVQPLIAPGEEYQYTSGAIIETPLGTMQGHYEMIDENGVPFSIDIPVFRLAVPTLIH
->52
-MNNRVHQGHLARKRFGQNFLNDQFVIDSIVSAINPQKGQAMVEIGPGLAALTEPVGERLDQLTVIELDRDLAARLQTHPFLGPKLTIYQQDAMTFNFGELAEKMGQPLRVFGNLPYNISTPLMFHLFSYTDAIADMHFMLQKEVVNRLVAGPNSKAYGRLSVMAQYYCNVIPVLEVPPSAFTPPPKVDSAVVRLVPHATMPHPVKDVRVLSRITTEAFNQRRKTIRNSLGNLFSVEVLTGMGIDPAMRAENISVAQYCQMANYLAENAPLQES
->53
-MVKTQRVVITPGEPAGIGPDLVVQLAQREWPVELVVCADATLLTNRAAMLGLPLTLRPYSPNSPAQPQTAGTLTLLPVALRAPVTAGQLAVENGHYVVETLARACDGCLNGEFAALITGPVHKGVINDAGIPFTGHTEFFEERSQAKKVVMMLATEELRVALATTHLPLRDIADAITPALLHEVIAILHHDLRTKFGIAEPRILVCGLNPHAGEGGHMGTEEIDTIIPVLNELRAQGMKLNGPLPADTLFQPKYLDNADAVLAMYHDQGLPVLKYQGFGRGVNITLGLPFIRTSVDHGTALELAGRGKADVGSFITALNLAIKMIVNTQ
->54
-MKNWKTLLLGIAMIANTSFAAPQVVDKVAAVVNNGVVLESDVDGLMQSVKLNAAQARQQLPDDATLRHQIMERLIMDQIILQMGQKMGVKISDEQLDQAIANIAKQNNMTLDQMRSRLAYDGLNYNTYRNQIRKEMIISEVRNNEVRRRITILPQEVESLAQQVGNQNDASTELNLSHILIPLPENPTSDQVNEAESQARAIVDQARNGADFGKLAIAHSADQQALNGGQMGWGRIQELPGIFAQALSTAKKGDIVGPIRSGVGFHILKVNDLRGESKNISVTEVHARHILLKPSPIMTDEQARVKLEQIAADIKSGKTTFAAAAKEFSQDPGSANQGGDLGWATPDIFDPAFRDALTRLNKGQMSAPVHSSFGWHLIELLDTRNVDKTDAAQKDRAYRMLMNRKFSEEAASWMQEQRASAYVKILSN
->55
-MKKRIPTLLATMIATALYSQQGLAADLASQCMLGVPSYDRPLVQGDTNDLPVTINADHAKGDYPDDAVFTGSVDIMQGNSRLQADEVQLHQKEAPGQPEPVRTVDALGNVHYDDNQVILKGPKGWANLNTKDTNVWEGDYQMVGRQGRGKADLMKQRGENRYTILDNGSFTSCLPGSDTWSVVGSEIIHDREEQVAEIWNARFKVGPVPIFYSPYLQLPVGDKRRSGFLIPNAKYTTTNYFEFYLPYYWNIAPNMDATITPHYMHRRGNIMWENEFRYLSQAGAGLMELDYLPSDKVYEDEHPNDDSSRRWLFYWNHSGVMDQVWRFNVDYTKVSDPSYFNDFDNKYGSSTDGYATQKFSVGYAVQNFNATVSTKQFQVFSEQNTSSYSAEPQLDVNYYQNDVGPFDTRIYGQAVHFVNTRDDMPEATRVHLEPTINLPLSNNWGSINTEAKLLATHYQQTNLDWYNSRNTTKLDESVNRVMPQFKVDGKMVFERDMEMLAPGYTQTLEPRAQYLYVPYRDQSDIYNYDSSLLQSDYSGLFRDRTYGGLDRIASANQVTTGVTSRIYDDAAVERFNISVGQIYYFTESRTGDDNITWENDDKTGSLVWAGDTYWRISERWGLRGGIQYDTRLDNVATSNSSIEYRRDEDRLVQLNYRYASPEYIQATLPKYYSTAEQYKNGISQVGAVASWPIADRWSIVGAYYYDTNANKQADSMLGVQYSSCCYAIRVGYERKLNGWDNDKQHAVYDNAIGFNIELRGLSSNYGLGTQEMLRSNILPYQNTL
->56
-MQYWGKIIGVAVALLMGGGFWGVVLGLLIGHMFDKARSRKMAWFANQRERQALFFATTFEVMGHLTKSKGRVTEADIHIASQLMDRMNLHGASRTAAQNAFRVGKSDNYPLREKMRQFRSVCFGRFDLIRMFLEIQIQAAFADGSLHPNERAVLYVIAEELGISRAQFDQFLRMMQGGAQFGGGYQQQTGGGNWLQAQRGPTLEDACNVLGVKPTDDATTIKRAYRKLMSEHHPDKLVAKGLPPEMMEMAKQKAQEIQQAYELIKQQKGFK
->57
-MGMENYNPPQEPWLVILYQDDHIMVVNKPSGLLSVPGRLEEHKDSVMTRIQRDYPQAESVHRLDMATSGVIVVALTKAAERELKRQFREREPKKQYVARVWGHPSPAEGLVDLPLICDWPNRPKQKVCYETGKPAQTEYEVVEYAADNTARVVLKPITGRSHQLRVHMLALGHPILGDRFYASPEARAMAPRLLLHAEMLTITHPAYGNSMTFKAPADF
->58
-MPFTLGQRWISDTESELGLGTVVAVDARTVTLLFPSTGENRLYARSDSPVTRVMFNPGDTITSHDGWQMQVEEVKEENGLLTYIGTRLDTEESGVALREVFLDSKLVFSKPQDRLFAGQIDRMDRFALRYRARKYSSEQFRMPYSGLRGQRTSLIPHQLNIAHDVGRRHAPRVLLADEVGLGKTIEAGMILHQQLLSGAAERVLIIVPETLQHQWLVEMLRRFNLRFALFDDERYAEAQHDAYNPFDTEQLVICSLDFARRSKQRLEHLCEAEWDLLVVDEAHHLVWSEDAPSREYQAIEQLAEHVPGVLLLTATPEQLGMESHFARLRLLDPNRFHDFAQFVEEQKNYRPVADAVAMLLAGNKLSNDELNMLGEMIGEQDIEPLLQAANSDSEDAQSARQELVSMLMDRHGTSRVLFRNTRNGVKGFPKRELHTIKLPLPTQYQTAIKVSGIMGARKSAEDRARDMLYPERIYQEFEGDNATWWNFDPRVEWLMGYLTSHRSQKVLVICAKAATALQLEQVLREREGIRAAVFHEGMSIIERDRAAAWFAEEDTGAQVLLCSEIGSEGRNFQFASHMVMFDLPFNPDLLEQRIGRLDRIGQAHDIQIHVPYLEKTAQSVLVRWYHEGLDAFEHTCPTGRTIYDSVYNDLINYLASPDQTEGFDDLIKNCREQHEALKAQLEQGRDRLLEIHSNGGEKAQALAESIEEQDDDTNLIAFAMNLFDIIGINQDDRGDNMIVLTPSDHMLVPDFPGLSEDGITITFDREVALAREDAQFITWEHPLIRNGLDLILSGDTGSSTISLLKNKALPVGTLLVELIYVVEAQAPKQLQLNRFLPPTPVRMLLDKNGNNLAAQVEFETFNRQLNAVNRHTGSKLVNAVQQDVHAILQLGEAQIEKSARALIDAARNEADEKLSAELSRLEALRAVNPNIRDDELTAIESNRQQVMESLDQAGWRLDALRLIVVTHQ
->59
-MAQAGFILTRHWRDTPQGTEVSFWLATDNGPLQVTLAPQESVAFIPADQVPRAQHILQGEQGVRLTPLALKDFHRQPVYGLYCRAHRQLMNYEKRLREGGVTVYEADVRPPERYLMERFITSPVWVEGDMHNGAIVNARLKPHPDYRPPLKWVSIDIETTRHGELYCIGLEGCGQRIVYMLGPENGDASALDFELEYVASRPQLLEKLNAWFANYDPDVIIGWNVVQFDLRMLQKHAERYRIPLRLGRDNSELEWREHGFKNGVFFAQAKGRLIIDGIEALKSAFWNFSSFSLETVAQELLGEGKSIDNPWDRMDEIDRRFAEDKPALATYNLKDCELVTQIFHKTEIMPFLLERATVNGLPVDRHGGSVAAFGHLYFPRMHRAGYVAPNLGEVPPHASPGGYVMDSRPGLYDSVLVLDYKSLYPSIIRTFLIDPVGLVEGMAQPDPEHSTEGFLDAWFSREKHCLPEIVTNIWHGRDEAKRQGNKPLSQALKIIMNAFYGVLGTTACRFFDPRLASSITMRGHQIMRQTKALIEAQGYDVIYGDTDSTFVWLKGAHSEEEAAKIGRALVQHVNAWWAETLQKQRLTSALELEYETHFCRFLMPTIRGADTGSKKRYAGLIQEGDKQRMVFKGLETVRTDWTPLAQQFQQELYLRIFRNEPYQEYVRETIDKLMAGELDARLVYRKRLRRPLSEYQRNVPPHVRAARLADEENQKRGRPLQYQNRGTIKYVWTTNGPEPLDYQRSPLDYEHYLTRQLQPVAEGILPFIEDNFATLMTGQLGLF
->60
-MLEDLKRQVLEANLALPKHNLVTLTWGNVSAVDRERGVFVIKPSGVDYSIMTADDMVVVSIETGEVVEGAKKPSSDTPTHRLLYQAFPSIGGIVHTHSRHATIWAQAGQSIPATGTTHADYFYGTIPCTRKMTDAEINGEYEWETGNVIVETFEKQGIDAAQMPGVLVHSHGPFAWGKNAEDAVHNAIVLEEVAYMGIFCRQLAPQLPDMQQTLLNKHYLRKHGAKAYYGQ
->61
-MTIFDNYEVWFVIGSQHLYGPETLRQVTQHAEHVVNALNTEAKLPCKLVLKPLGTTPDEITAICRDANYDDRCAGLVVWLHTFSPAKMWINGLTMLNKPLLQFHTQFNAALPWDSIDMDFMNLNQTAHGGREFGFIGARMRQQHAVVTGHWQDKQAHERIGSWMRQAVSKQDTRHLKVCRFGDNMREVAVTDGDKVAAQIKFGFSVNTWAVGDLVQVVNSISDGDVNALVDEYESCYTMTPATQIHGEKRQNVLEAARIELGMKRFLEQGGFHAFTTTFEDLHGLKQLPGLAVQRLMQQGYGFAGEGDWKTAALLRIMKVMSTGLQGGTSFMEDYTYHFEKGNDLVLGSHMLEVCPSIAVEEKPILDVQHLGIGGKDDPARLIFNTQTGPAIVASLIDLGDRYRLLVNCIDTVKTPHSLPKLPVANALWKAQPDLPTASEAWILAGGAHHTVFSHALNLNDMRQFAEMHDIEITVIDNDTRLPAFKDALRWNEVYYGFRR
->62
-MAIAIGLDFGSDSVRALAVDCASGEEIATSVEWYPRWQKGQFCDAPNNQFRHHPRDYIESMEAALKTVLAELSVEQRAAVVGIGVDSTGSTPAPIDADGNVLALRPEFAENPNAMFVLWKDHTAVEEAEEITRLCHAPGNVDYSRYIGGIYSSEWFWAKILHVTRQDSAVAQSAASWIELCDWVPALLSGTTRPQDIRRGRCSAGHKSLWHESWGGLPPASFFDELDPILNRHLPSPLFTDTWTADIPVGTLCPEWAQRLGLPESVVISGGAFDCHMGAVGAGAQPNALVKVIGTSTCDILIADKQSVGERAVKGICGQVDGSVVPGFIGLEAGQSAFGDIYAWFGRVLSWPLEQLAAQHPELKAQINASQKQLLPALTEAWAKNPSLDHLPVVLDWFNGRRSPNANQRLKGVITDLNLATDAPLLFGGLIAATAFGARAIMECFTDQGIAVNNVMALGGIARKNQVIMQACCDVLNRPLQIVASDQCCALGAAIFAAVAAKVHADIPSAQQKMASAVEKTLQPRSEQAQRFEQLYRRYQQWAMSAEQHYLPTSAPAQAAQAVATL
->63
-MAEAQNDPLLPGYSFNAHLVAGLTPIEANGYLDFFIDRPLGMKGYILNLTIRGQGVVKNQGREFVCRPGDILLFPPGEIHHYGRHPEAREWYHQWVYFRPRAYWHEWLNWPSIFANTGFFRPDEAHQPHFSDLFGQIINAGQGEGRYSELLAINLLEQLLLRRMEAINESLHPPMDNRVREACQYISDHLADSNFDIASVAQHVCLSPSRLSHLFRQQLGISVLSWREDQRISQAKLLLSTTRMPIATVGRNVGFDDQLYFSRVFKKCTGASPSEFRAGCEEKVNDVAVKLS
->64
-MQALLEHFITQSTVYSLMAVVLVAFLESLALVGLILPGTVLMAGLGALIGSGELSFWHAWLAGIVGCLLGDWISFWLGWRFKKPLHRWSFLKKNKALLDKTEHALHQHSMFTILVGRFVGPTRPLVPMVAGMLDLPVAKFITPNIIGCLLWPPFYFLPGILAGAAIDIPAGMQSGEFKWLLLATAVFVWVGGWLCWRLWRSGKATDRLSHYLSRGRLLWLTPLISAIGVVALVVLIRHPLMPVYIDILRKVVGV
->65
-MLKLTDITWLYQHLPMRFSLTVERGEQVAILGPSGAGKSTLLNLIAGFLTPASGSLTIDGVDHTTTPPSRRPVSMLFQENNLFSHLTVAQNIGLGLNPGLKLNAAQQEKMHAIARQMGIDNLMARLPGELSGGQRQRVALARCLVREQPILLLDEPFSALDPALRQEMLTLVSTSCQQQKMTLLMVSHSVEDAARIATRSVVVADGRIAWQGKTNELLSGKASASALLGITG
->66
-MATRRQPLIPGWLIPGVSATTLVVAVALAAFLALWWNAPQDDWVAVWQDSYLWHVVRFSFWQAFLSALLSVVPAIFLARALYRRRFPGRLALLRLCAMTLILPVLVAVFGILSVYGRQGWLATLCQSLGLEWTFSPYGLQGILLAHVFFNLPMASRLLLQALENIPGEQRQLAAQLGMRGWHFFRFVEWPWLRRQIPPVAALIFMLCFASFATVLSLGGGPQATTIELAIYQALSYDYDPARAAMLALIQMVCCLGLVLLSQRLSKAIAPGTTLLQGWRDPDDRLHSRICDTVLIVLALLLLLPPLLAVIVDGLNRQLPEVLAQPVLWQALWTSLRIALAAGVLCVVLTMMLLWSSRELRARQKMLAGQALEMSGMLILAMPGIVLATGFFLLLNNTIGLPQSADGIVIFTNALMAIPYALKVLENPMRDITARYSMLCQSLGIEGWSRLKVVELRALKRPLAQALAFACVLSIGDFGVVALFGNDDFRTLPFYLYQQIGSYRSQDGAVTALILLLLCFLLFTVIEKLPGRDVKTD
->67
-MLKKCLPLLLLCTAPVFAKPVLTVYTYDSFAADWGPGPVVKKAFEADCNCELKLVALEDGVSLLNRLRMEGKNSKADVVLGLDNNLLDAASKTGLFAKSGVAADAVNVPGGWNNDTFVPFDYGYFAFVYDKNKLKNPPQSLKELVESDQNWRVIYQDPRTSTPGLGLLLWMQKVYGDDAPQAWQKLAKKTVTVTKGWSEAYGLFLKGESDLVLSYTTSPAYHILEEKKDNYAAANFSEGHYLQVEVAARTAASKQPELAQKFLQFMVSPAFQNAIPTGNWMYPVANVTLPAGFEKLTKPATTLEFTPAEVAAQRQAWISEWQRAVSR
->68
-MPSARLQQQFIRLWQCCEGKSQDTTLNELAALLSCSRRHMRTLLNTMQDRGWLTWEAEVGRGKRSRLTFLYTGLALQQQRAEDLLEQDRIDQLVQLVGDKATVRQMLVSHLGRSFRQGRHILRVLYYRPLRNLLPGSALRRSETHIARQIFSSLTRINEENGELEADIAHHWQQISPLHWRFFLRPGVHFHHGRELEMDDVIASLKRINTLPLYSHIADIVSPTPWTLDIHLTQPDRWLPLLLGQVPAMILPREWETLSNFASHPIGTGPYAVIRNSTNQLKIQAFDDFFGYRALIDEVNVWVLPEIADEPAGGLMLKGPQGEEKEIESRLEEGCYYLLFDSRTHRGANQQVRDWVSYVLSPTNLVYFAEEQYQQLWFPAYGLLPRWHHARTIKSEKPAGLESLILTFYQDHSEHRVIAGIMQQILASHQVTLEIKEISYDQWHEGEIESDIWLNSANFTLPLDFSLFAHLCEVPLLQHCIPIDWQADAARWRNGEMNLANWCQQLVASKAMVPLIHHWLIIQGQRSMRGLRMNTLGWFDFKSAWFAPPDP
->69
-MRQFYQHYFTATAKLCWLRWLSVPQRLTMLEGLMQWDDRNSES
->70
-MIWIMTMARRMNGVYAAFMLVAFMMGVAGALQAPTLSLFLSREVGAQPFWIGLFYTVNAIAGIGVSLWLAKRSDSQGDRRKLIIFCCLMAIGNALLFAFNRHYLTLITCGVLLASLANTAMPQLFALAREYADNSAREVVMFSSVMRAQLSLAWVIGPPLAFMLALNYGFTVMFSIAAGIFTLSLVLIAFMLPSVARVELPSENALSMQGGWQDSNVRMLFVASTLMWTCNTMYIIDMPLWISSELGLPDKLAGFLMGTAAGLEIPAMILAGYYVKRYGKRRMMVIAVAAGVLFYTGLILFHSRLALMTLQLFNAVFIGIVAGIGMLWFQDLMPGRAGAATTLFTNSISTGVILAGVIQGAIAQSWGHFAVYWVIAVISVIALFLTAKVKDV
->71
-MAEKFIKHTGLVVPLDAANVDTDAIIPKQFLQKVTRTGFGAHLFNDWRFLDEKGQQPNPDFVLNFPQYQGASILLARENFGCGSSREHAPWALTDYGFKVVIAPSFADIFYGNSFNNQLLPVKLSDAEVDELFALVKANPGIHFDVDLEAQEVKAGEKTYRFTIDAFRRHCMMNGLDSIGLTLQHDDAIAAYEAKQPAFMN
->72
-MAKTLYEKLFDAHVVYEAENETPLLYIDRHLVHEVTSPQAFDGLRAHGRPVRQPGKTFATMDHNVSTQTKDINACGEMARIQMQELIKNCKEFGVELYDLNHPYQGIVHVMGPEQGVTLPGMTIVCGDSHTATHGAFGALAFGIGTSEVEHVLATQTLKQGRAKTMKIEVQGKAAPGITAKDIVLAIIGKTGSAGGTGHVVEFCGEAIRDLSMEGRMTLCNMAIEMGAKAGLVAPDETTFNYVKGRLHAPKGKDFDDAVAYWKTLQTDEGATFDTVVTLQAEEISPQVTWGTNPGQVISVNDNIPDPASFADPVERASAEKALAYMGLKPGIPLTEVAIDKVFIGSCTNSRIEDLRAAAEIAKGRKVAPGVQALVVPGSGPVKAQAEAEGLDKIFIEAGFEWRLPGCSMCLAMNNDRLNPGERCASTSNRNFEGRQGRGGRTHLVSPAMAAAAAVTGHFADIRNIK
->73
-MSKNYHIAVLPGDGIGPEVMTQALKVLDAVRNRFAMRITTSHYDVGGAAIDNHGQPLPPATVEGCEQADAVLFGSVGGPKWEHLPPDQQPERGALLPLRKHFKLFSNLRPAKLYQGLEAFCPLRADIAANGFDILCVRELTGGIYFGQPKGREGSGQYEKAFDTEVYHRFEIERIARIAFESARKRRHKVTSIDKANVLQSSILWREIVNEIATEYPDVELAHMYIDNATMQLIKDPSQFDVLLCSNLFGDILSDECAMITGSMGMLPSASLNEQGFGLYEPAGGSAPDIAGKNIANPIAQILSLALLLRYSLDADDAACAIERAINRALEEGIRTGDLARGAAAVSTDEMGDIIARYVAEGV
->74
-MSQQVIIFDTTLRDGEQALQASLSVKEKLQIALALERMGVDVMEVGFPVSSPGDFESVQTIARQVKNSRVCALARCVEKDIDVAAESLKVAEAFRIHTFIATSPMHIATKLRSTLDEVIERAIYMVKRARNYTDDVEFSCEDAGRTPIADLARVVEAAINAGATTINIPDTVGYTMPFEFAGIISGLYERVPNIDKAIISVHTHDDLGLAVGNSLAAVHAGARQVEGAMNGIGERAGNCSLEEVIMAIKVRKDILNVHTAINHQEIWRTSQLVSQICNMPIPANKAIVGSGAFAHSSGIHQDGVLKNRENYEIMTPESIGLNQIQLNLTSRSGRAAVKHRMDEMGYKESEYNLDNLYDAFLKLADKKGQVFDYDLEALAFIGKQQEEPEHFRLDYFSVQSGSNDIATAAVKLACGEEVKAEAANGNGPVDAVYQAINRITEYNVELVKYSLTAKGHGKDALGQVDIVANYNGRRFHGVGLATDIVESSAKAMVHVLNNIWRAAEVEKELQRKAQHNENNKETV
->75
-MPEVQTDHPETAELSKPQLRMVDLNLLTVFDAVMQEQNITRAAHVLGMSQPAVSNAVARLKVMFNDELFVRYGRGIQPTARAFQLFGSVRQALQLVQNELPGSGFEPASSERVFHLCVCSPLDSILTSQIYNHIEQIAPNIHVMFKSSLNQNTEHQLRYQETEFVISYEDFHRPEFTSVPLFKDEMVLVASKNHPTIKGPLLKHDVYNEQHAAVSLDRFASFSQPWYDTVDKQASIAYQGMAMMSVLSVVSQTHLVAIAPRWLAEEFAESLELQVLPLPLKQNSRTCYLSWHEAAGRDKGHQWMEEQLVSICKR
->76
-MEMLSGAEMVVRSLIDQGVKQVFGYPGGAVLDIYDALHTVGGIDHVLVRHEQAAVHMADGLARATGEVGVVLVTSGPGATNAITGIATAYMDSIPLVVLSGQVATSLIGYDAFQECDMVGISRPVVKHSFLVKQTEDIPQVLKKAFWLAASGRPGPVVVDLPKDILNPANKLPYVWPESVSMRSYNPTTTGHKGQIKRALQTLVAAKKPVVYVGGGAITAGCHQQLKEMVEALNLPVVSSLMGLGAFPATHRQALGMLGMHGTYEANMTMHNADVIFAVGVRFDDRTTNNLAKYCPNATVLHIDIDPTSISKTVTADIPIVGDARQVLEQMLELLSQESAHQPLDEIRDWWQQIEQWRARQCLKYDTHSEKIKPQAVIETLWRLTKGDAYVTSDVGQHQMFAALYYPFDKPRRWINSGGLGTMGFGLPAALGVKMALPEETVVCVTGDGSIQMNIQELSTALQYELPVLVVNLNNRYLGMVKQWQDMIYSGRHSQSYMQSLPDFVRLAEAYGHVGIQISHPHELESKLSEALEQVRNNRLVFVDVTVDGSEHVYPMQIRGGGMDEMWLSKTERT
->77
-MRRILSVLLENESGALSRVIGLFSQRGYNIESLTVAPTDDPTLSRMTIQTVGDEKVLEQIEKQLHKLVDVLRVSELGQGAHVEREIMLVKIQASGYGRDEVKRNTEIFRGQIIDVTPSLYTVQLAGTSGKLDAFLASIRDVAKIVEVARSGVVGLSRGDKIMR
->78
-MKLDEIARLAGVSRTTASYVINGKAKQYRVSDKTVEKVMAVVREHNYHPNAVAAGLRAGRTRSIGLVIPDLENTSYTRIANYLERQARQRGYQLLIACSEDQPDNEMRCIEHLLQRQVDAIIVSTSLPPEHPFYQRWANDPFPIVALDRALDREHFTSVVGADQDDAEMLAEELRKFPAETVLYLGALPELSVSFLREQGFRTAWKDDPREVHFLYANSYEREAAAQLFEKWLETHPMPQALFTTSFALLQGVMDVTLRRDGKLPSDLAIATFGDNELLDFLQCPVLAVAQRHRDVAERVLEIVLASLDEPRKPKPGLTRIKRNLYRRGVLSRS
->79
-MFRGATLVNLDSKGRLSVPTRYREQLLENAAGQMVCTIDIHHPCLLLYPLPEWEIIEQKLSRLSSMNPVERRVQRLLLGHASECQMDGAGRLLIAPVLRQHAGLTKEVMLVGQFNKFELWDETTWHQQVKEDIDAEQLATGDLSERLQDLSL
->80
-MMENYKHTTVLLDEAVNGLNIRPDGIYIDGTFGRGGHSRLILSQLGEEGRLLAIDRDPQAIAVAKTIDDPRFSIIHGPFSALGEYVAERDLIGKIDGILLDLGVSSPQLDDAERGFSFMRDGPLDMRMDPTRGQSAAEWLQTAEEADIAWVLKTYGEERFAKRIARAIVERNREQPMTRTKELAEVVAAATPVKDKFKHPATRTFQAVRIWVNSELEEIEQALKSSLNVLAPGGRLSIISFHSLEDRIVKRFMRENSRGPQVPAGLPMTEEQLKKLGGRQLRALGKLMPGEEEVAENPRARSSVLRIAERTNA
->81
-MISRVTEALSKVKGSMGSHERHALPGVIGDDLLRFGKLPLCLFICIILTAVTVVTTAHHTRLLTAQREQLVLERDALDIEWRNLILEENALGDHSRVERIATEKLQMQHVDPSQENIVVQK
->82
-MKAAAKTQKPKRQEEHANFISWRFALLCGCILLALAFLLGRVAWLQVISPDMLVKEGDMRSLRVQQVSTSRGMITDRSGRPLAVSVPVKAIWADPKEVHDAGGISVGDRWKALANALNIPLDQLSARINANPKGRFIYLARQVNPDMADYIKKLKLPGIHLREESRRYYPSGEVTAHLIGFTNVDSQGIEGVEKSFDKWLTGQPGERIVRKDRYGRVIEDISSTDSQAAHNLALSIDERLQALVYRELNNAVAFNKAESGSAVLVDVNTGEVLAMANSPSYNPNNLSGTPKEAMRNRTITDVFEPGSTVKPMVVMTALQRGVVRENSVLNTIPYRINGHEIKDVARYSELTLTGVLQKSSNVGVSKLALAMPSSALVDTYSRFGLGKATNLGLVGERSGLYPQKQRWSDIERATFSFGYGLMVTPLQLARVYATIGSYGIYRPLSITKVDPPVPGERVFPESIVRTVVHMMESVALPGGGGVKAAIKGYRIAIKTGTAKKVGPDGRYINKYIAYTAGVAPASQPRFALVVVINDPQAGKYYGGAVSAPVFGAIMGGVLRTMNIEPDALTTGDKNEFVINQGEGTGGRS
->83
-MADRNLRDLLAPWVPDAPSRALREMTLDSRVAAAGDLFVAVVGHQADGRRYIPQAIAQGVAAIIAEAKDEATDGEIREMHGVPVIYLSQLNERLSALAGRFYHEPSDNLRLVGVTGTNGKTTTTQLLAQWSQLLGETSAVMGTVGNGLLGKVIPTENTTGSAVDVQHELAGLVDQGATFCAMEVSSHGLVQHRVAALKFAASVFTNLSRDHLDYHGDMEHYEAAKWLLYSEHHCGQAIINADDEVGRRWLAKLPDAVAVSMEDHINPNCHGRWLKANDVNYHDSGATIRFSSSWGDGEIESHLMGAFNVSNLLLALATLLALGYPLADLLKTAARLQPVCGRMEVFTAPGKPTVVVDYAHTPDALEKALQAARLHCAGKLWCVFGCGGDRDKGKRPLMGAIAEEFADVAVVTDDNPRTEEPRAIINDILAGMLDAGHAKVMEGRAEAVTCAVMQAKENDVVLVAGKGHEDYQIVGNQRLDYSDRVTVARLLGVIA
->84
-MISVTLSQLTDILNGELQGADITLDAVTTDTRKLTPGCLFVALKGERFDAHDFADQAKAGGAGALLVSRPLDIDLPQLIVKDTRLAFGELAAWVRQQVPARVVALTGSSGKTSVKEMTAAILSQCGNTLYTAGNLNNDIGVPMTLLRLTPEYDYAVIELGANHQGEIAWTVSLTRPEAALVNNLAAAHLEGFGSLAGVAKAKGEIFSGLPENGIAIMNADNNDWLNWQSVIGSRKVWRFSPNAANSDFTATNIHVTSHGTEFTLQTPTGSVDVLLPLPGRHNIANALAAAALSMSVGATLDAIKAGLANLKAVPGRLFPIQLAENQLLLDDSYNANVGSMTAAVQVLAEMPGYRVLVVGDMAELGAESEACHVQVGEAAKAAGIDRVLSVGKQSHAISTASGVGEHFADKTALITRLKSLIAEQQVITILVKGSRSAAMEEVVRALQENGTC
->85
-MLVWLAEHLVKYYSGFNVFSYLTFRAIVSLLTALFISLWMGPRMIAHLQKLSFGQVVRNDGPESHFSKRGTPTMGGIMILTAIVISVLLWAYPSNPYVWCVLVVLVGYGVIGFVDDYRKVVRKDTKGLIARWKYFWMSVIALGVAFALYLAGKDTPATQLVVPFFKDVMPQLGLFYILLAYFVIVGTGNAVNLTDGLDGLAIMPTVFVAGGFALVAWATGNMNFASYLHIPYLRHAGELVIVCTAIVGAGLGFLWFNTYPAQVFMGDVGSLALGGALGIIAVLLRQEFLLVIMGGVFVVETLSVILQVGSFKLRGQRIFRMAPIHHHYELKGWPEPRVIVRFWIISLMLVLIGLATLKVR
->86
-MADYQGKNVVIIGLGLTGLSCVDFFLARGVTPRVMDTRMTPPGLDKLPEAVERHTGSLNDEWLMAADLIVASPGIALAHPSLSAAADAGIEIVGDIELFCREAQAPIVAITGSNGKSTVTTLVGEMAKAAGVNVGVGGNIGLPALMLLDDECELYVLELSSFQLETTSSLQAVAATILNVTEDHMDRYPFGLQQYRAAKLRIYENAKVCVVNADDALTMPIRGADERCVSFGVNMGDYHLNHQQGETWLRVKGEKVLNVKEMKLSGQHNYTNALAALALADAAGLPRASSLKALTTFTGLPHRFEVVLEHNGVRWINDSKATNVGSTEAALNGLHVDGTLHLLLGGDGKSADFSPLARYLNGDNVRLYCFGRDGAQLAALRPEVAEQTETMEQAMRLLAPRVQPGDMVLLSPACASLDQFKNFEQRGNEFARLAKELG
->87
-MRLSLPRLKMPRLPGFSILVWISTALKGWVMGSREKDTDSLIMYDRTLLWLTFGLAAIGFIMVTSASMPIGQRLTNDPFFFAKRDGVYLILAFILAIITLRLPMEFWQRYSATMLLGSIILLMIVLVVGSSVKGASRWIDLGLLRIQPAELTKLSLFCYIANYLVRKGDEVRNNLRGFLKPMGVILVLAVLLLAQPDLGTVVVLFVTTLAMLFLAGAKLWQFIAIIGMGISAVVLLILAEPYRIRRVTAFWNPWEDPFGSGYQLTQSLMAFGRGELWGQGLGNSVQKLEYLPEAHTDFIFAIIGEELGYVGVVLALLMVFFVAFRAMSIGRKALEIDHRFSGFLACSIGIWFSFQALVNVGAAAGMLPTKGLTLPLISYGGSSLLIMSTAIMMLLRIDYETRLEKAQAFVRGSR
->88
-MSGQGKRLMVMAGGTGGHVFPGLAVAHHLMAQGWQVRWLGTADRMEADLVPKHGIEIDFIRISGLRGKGIKALIAAPLRIFNAWRQARAIMKAYKPDVVLGMGGYVSGPGGLAAWSLGIPVVLHEQNGIAGLTNKWLAKIATKVMQAFPGAFPNAEVVGNPVRTDVLALPLPQQRLAGREGPVRVLVVGGSQGARILNQTMPQVAAKLGDSVTIWHQSGKGSQQSVEQAYAEAGQPQHKVTEFIDDMAAAYAWADVVVCRSGALTVSEIAAAGLPALFVPFQHKDRQQYWNALPLEKAGAAKIIEQPQLSVDAVANTLAGWSRETLLTMAERARAASIPDATERVANEVSRVARA
->89
-MNTQQLAKLRSIVPEMRRVRHIHFVGIGGAGMGGIAEVLANEGYQISGSDLAPNPVTQQLMNLGATIYFNHRPENVRDASVVVVSSAISADNPEIVAAHEARIPVIRRAEMLAELMRFRHGIAIAGTHGKTTTTAMVSSIYAEAGLDPTFVNGGLVKAAGVHARLGHGRYLIAEADESDASFLHLQPMVAIVTNIEADHMDTYQGDFENLKQTFINFLHNLPFYGRAVMCVDDPVIRELLPRVGRQTTTYGFSEDADVRVEDYQQIGPQGHFTLLRQDKEPMRVTLNAPGRHNALNAAAAVAVATEEGIDDEAILRALESFQGTGRRFDFLGEFPLEPVNGKSGTAMLVDDYGHHPTEVDATIKAARAGWPDKNLVMLFQPHRFTRTRDLYDDFANVLTQVDTLLMLEVYPAGEAPIPGADSRSLCRTIRGRGKIDPILVPDPAQVAEMLAPVLTGNDLILVQGAGNIGKIARSLAEIKLKPQTPEEEQHD
->90
-MTDKIAVLLGGTSAEREVSLNSGAAVLAGLREGGIDAYPVDPKEVDVTQLKSMGFQKVFIALHGRGGEDGTLQGMLELMGLPYTGSGVMASALSMDKLRSKLLWQGAGLPVAPWVALTRAEFEKGLSDKQLAEISALGLPVIVKPSREGSSVGMSKVVAENALQDALRLAFQHDEEVLIEKWLSGPEFTVAILDEEILPSIRIQPSGTFYDYEAKYLSDETQYFCPAGLEASQEANLQALVLKAWTTLGCKGWGRIDVMLDSDGQFYLLEANTSPGMTSHSLVPMAARQAGMSFSQLVVRILELAD
->91
-MSQAALNTRNSEEEVSSRRNNGTRLAGILFLLTVLTTVLVSGWVVLGWMEDAQRLPLSKLVLTGERHYTRNDDIRQSILALGEPGTFMTQDVNIIQTQIEQRLPWIKQVSVRKQWPDELKIHLVEYVPIARWNDQHMVDAEGNTFSVPPDRTSKQVLPMLYGPEGSANEVLQGYREMGQMLAKDRFTLKEAAMTARRSWQLTLNNDIKLNLGRGDTMKRLARFVELYPVLQQQAQTDGKRISYVDLRYDSGAAVGWAPLPPEESTQQQNQAQAEQQ
->92
-MIKATDRKLVVGLEIGTAKVAALVGEVLPDGMVNIIGVGSCPSRGMDKGGVNDLESVVKCVQRAIDQAELMADCQISSVYLALSGKHISCQNEIGMVPISEEEVTQEDVENVVHTAKSVRVRDEHRVLHVIPQEYAIDYQEGIKNPVGLSGVRMQAKVHLITCHNDMAKNIVKAVERCGLKVDQLIFAGLASSYSVLTEDERELGVCVVDIGGGTMDIAVYTGGALRHTKVIPYAGNVVTSDIAYAFGTPPSDAEAIKVRHGCALGSIVGKDESVEVPSVGGRPPRSLQRQTLAEVIEPRYTELLNLVNEEILQLQEKLRQQGVKHHLAAGIVLTGGAAQIEGLAACAQRVFHTQVRIGAPLNITGLTDYAQEPYYSTAVGLLHYGKESHLNGEAEVEKRVTASVGSWIKRLNSWLRKEF
->93
-MFEPMELTNDAVIKVIGVGGGGGNAVEHMVRERIEGVEFFAVNTDAQALRKTAVGQTIQIGSGITKGLGAGANPEVGRNAADEDRDALRAALEGADMVFIAAGMGGGTGTGAAPVVAEVAKDLGILTVAVVTKPFNFEGKKRMAFAEQGITELSKHVDSLITIPNDKLLKVLGRGISLLDAFGAANDVLKGAVQGIAELITRPGLMNVDFADVRTVMSEMGYAMMGSGVASGEDRAEEAAEMAISSPLLEDIDLSGARGVLVNITAGFDLRLDEFETVGNTIRAFASDNATVVIGTSLDPDMNDELRVTVVATGIGMDKRPEITLVTNKQVQQPVMDRYQQHGMAPLTQEQKPVAKVVNDNAPQTAKEPDYLDIPAFLRKQAD
->94
-MIKQRTLKRIVQATGVGLHTGKKVTLTLRPAPANTGVIYRRTDLNPPVDFPADAKSVRDTMLCTCLVNEHDVRISTVEHLNAALAGLGIDNIVIEVNAPEIPIMDGSAAPFVYLLLDAGIDELNCAKKFVRIKETVRVEDGDKWAEFKPYNGFSLDFTIDFNHPAIDSSNQRYAMNFSADAFMRQISRARTFGFMRDIEYLQSRGLCLGGSFDCAIVVDDYRVLNEDGLRFEDEFVRHKMLDAIGDLFMCGHNIIGAFTAYKSGHALNNKLLQAVLAKQEAWEYVTFQDDAELPLAFKAPSAVLA
->95
-MLWTAGFNDKICALNTFEYDRDGNNVSGILTRWRQFGKRYFWPHLLLGMVAASLGLPALSNAAEPNAPAKATTRNHEPSAKVNFGQLALLEANTRRPNSNYSVDYWHQHAIRTVIRHLSFAMAPQTLPVAEESLPLQAQHLALLDTLSALLTQEGTPSEKGYRIDYAHFTPQAKFSTPVWISQAQGIRAGPQRLT
->96
-MLIKLLTKVFGSRNDRTLRRMRKVVNIINAMEPEMEKLSDEELKGKTAEFRARLEKGEVLENLIPEAFAVVREASKRVFGMRHFDVQLLGGMVLNERCIAEMRTGEGKTLTATLPAYLNALTGKGVHVVTVNDYLAQRDAENNRPLFEFLGLTVGINLPGMPAPAKREAYAADITYGTNNEYGFDYLRDNMAFSPEERVQRKLHYALVDEVDSILIDEARTPLIISGPAEDSSEMYKRVNKIIPHLIRQEKEDSETFQGEGHFSVDEKSRQVNLTERGLVLIEELLVKEGIMDEGESLYSPANIMLMHHVTAALRAHALFTRDVDYIVKDGEVIIVDEHTGRTMQGRRWSDGLHQAVEAKEGVQIQNENQTLASITFQNYFRLYEKLAGMTGTADTEAFEFSSIYKLDTVVVPTNRPMIRKDLPDLVYMTEAEKIQAIIEDIKERTAKGQPVLVGTISIEKSELVSNELTKAGIKHNVLNAKFHANEAAIVAQAGYPAAVTIATNMAGRGTDIVLGGSWQAEVAALENPTAEQIEKIKADWQVRHDAVLEAGGLHIIGTERHESRRIDNQLRGRSGRQGDAGSSRFYLSMEDALMRIFASDRVSGMMRKLGMKPGEAIEHPWVTKAIANAQRKVESRNFDIRKQLLEYDDVANDQRRAIYSQRNELLDVSDVSETINSIREDVFKATIDAYIPPQSLEEMWDIPGLQERLKNDFDLDLPIAEWLDKEPELHEETLRERILAQSIEVYQRKEEVVGAEMMRHFEKGVMLQTLDSLWKEHLAAMDYLRQGIHLRGYAQKDPKQEYKRESFSMFAAMLESLKYEVISTLSKVQVRMPEEVEELEQQRRMEAERLAQMQQLSHQDDDSAAAAALAAQTGERKVGRNDPCPCGSGKKYKQCHGRLQ
->97
-MKKLQIAVGIIRNENNEIFITRRAADAHMANKLEFPGGKIEMGETPEQAVVRELQEEVGITPQHFSLFEKLEYEFPDRHITLWFWLVERWEGEPWGKEGQPGEWMSLVGLNADDFPPANEPVIAKLKRL
->98
-MSETITVNCPTCGKTVVWGEISPFRPFCSKRCQLIDLGEWAAEEKRIPSSGDLSESDDWSEEPKQ
->99
-MQTQVLFEHPLNEKMRTWLRIEFLIQQLTVNLPIVDHAGALHFFRNVSELLDVFERGEVRTELLKELDRQQRKLQTWIGVPGVDQSRIEALIQQLKAAGSVLISAPRIGQFLREDRLIALVRQRLSIPGGCCSFDLPTLHIWLHLPQAQRDSQVETWIASLNPLTQALTMVLDLIRQSAPFRKQTSLNGFYQDNGGDADLLRLNLSLDSQLYPQISGHKSRFAIRFMPLDTENGQVPERLDFELACC
->100
-MRYIVALTGGIGSGKSTVANAFADLGINVIDADIIARQVVEPGAPALHAIADHFGANMIAADGTLQRRALRERIFANPEEKNWLNALLHPLIQQETQHQIQQATSPYVLWVVPLLVENSLYKKANRVLVVDVSPETQLKRTMQRDDVTREHVEQILAAQATREARLAVADDVIDNNGAPDAIASDVARLHAHYLQLASQFVSQEKP
->101
-MRIEEDLKLGFKDVLIRPKRSTLKSRSDVELERQFTFKHSGQSWSGVPIIAANMDTVGTFSMASALASFDILTAVHKHYSVEEWQAFINNSSADVLKHVMVSTGTSDADFEKTKQILDLNPALNFVCIDVANGYSEHFVQFVAKAREAWPTKTICAGNVVTGEMCEELILSGADIVKVGIGPGSVCTTRVKTGVGYPQLSAVIECADAAHGLGGMIVSDGGCTTPGDVAKAFGGGADFVMLGGMLAGHEESGGRIVEENGEKFMLFYGMSSESAMKRHVGGVAEYRAAEGKTVKLPLRGPIENTARDILGGLRSACTYVGASRLKELTKRTTFIRVQEQENRIFNNL
->102
-MASKQLWRWHGITGDGNAQDGMLWAESRTLLLMALQQQMVTPLSLKRIAINSAQWRGDKSAEVIHQLATLLKAGLTLSEGLALLAEQHPSKQWQALLQSLAHDLEQGIAFSNALLPWSEVFPPLYQAMIRTGELTGKLDECCFELARQQKAQRQLTDKVKSALRYPIIILAMAIMVVVAMLHFVLPEFAAIYKTFNTPLPALTQGIMTLADFSGEWSWLLVLFGFLLAIANKLLMRRPTWLIVRQKLLLRIPIMGSLMRGQKLTQIFTILALTQSAGITFLQGVESVRETMRCPYWVQLLTQIQHDISNGQPIWLALKNTGEFSPLCLQLVRTGEASGSLDLMLDNLAHHHRENTMALADNLAALLEPALLIITGGIIGTLVVAMYLPIFHLGDAMSGMG
->103
-MNIPQLTALCLRYHGVLLDASEEVVHVAVVDAPSHELLDALHFATTKRIEITCWTRQQMEGHASRTQQTLPVAVQEKHQPKAELLTRTLQSALEQRASDIHIEPADNAYRIRLRIDGVLHPLPDVSPDAGVALTARLKVLGNLDIAEHRLPQDGQFTVELAGNAVSFRIATLPCRGGEKVVLRLLQQVGQALDVNTLGMQPLQLADFAHALQQPQGLVLVTGPTGSGKTVTLYSALQKLNTADINICSVEDPVEIPIAGLNQTQIHPRAGLTFQGVLRALLRQDPDVIMIGEIRDGETAEIAIKAAQTGHLVLSTLHTNSTCETLVRLQQMGVARWMLSSALTLVIAQRLVRKLCPHCRRQQGEPIHIPDNVWPSPLPHWQAPGCVHCYHGFYGRTALFEVLPITPVIRQLISANTDVESLETHARQAGMRTLFENGCLAVEQGLTTFEELIRVLGMPHGE
->104
-MDKQRGFTLIELMVVIGIIAILSAIGIPAYQNYLRKAALTDMLQTFVPYRTAVELCALEHGGLDTCDGGSNGIPSPTTTRYVSAMSVAKGVVSLTGQESLNGLSVVMTPGWDNANGVTGWTRNCNIQSDSALQQACEDVFRFDDAN
->105
-MPPRRYNPDTRRDELLERINLDIPGAVAQALREDLGGTVDANNDITAKLLPENSRSHATVITRENGVFCGKRWVEEVFIQLAGDDVTIIWHVDDGDVINANQSLFELEGPSRVLLTGERTALNFVQTLSGVASKVRHYVELLEGTNTQLLDTRKTLPGLRSALKYAVLCGGGANHRLGLSDAFLIKENHIIASGSVRQAVEKASWLHPDAPVEVEVENLEELDEALKAGADIIMLDNFETEQMREAVKRTNGKALLEVSGNVTDKTLREFAETGVDFISVGALTKHVQALDLSMRFR
->106
-MLLEQGWLVGARRVPSPHYDCRPDDETPTLLVVHNISLPPGEFGGPWIDALFTGTIDPQAHPFFAEIAHLRVSAHCLIRRDGEIVQYVPFDKRAWHAGVSQYQGRERCNDFSIGIELEGTDTLAYTDAQYQQLAAVTRALIDCYPDIAKNMTGHCDIAPDRKTDPGPAFDWARFRVLVSKETT
->107
-MTLFTTLLVLIFERLFKLGEHWQLDHRLEAFFRRVKHFSLGRTLGMTIIAMGVTFLLLRALQGVLFNVPTLLVWLLIGLLCIGAGKVRLHYHAYLTAASRNDSHARATMAGELTMIHGVPAGCDEREYLRELQNALLWINFRFYLAPLFWLIVGGTWGPVTLMGYAFLRAWQYWLARYQTPHHRLQSGIDAVLHVLDWVPVRLAGVVYALIGHGEKALPAWFASLGDFHTSQYQVLTRLAQFSLAREPHVDKVETPKAAVSMAKKTSFVVVVVIALLTIYGALV
->108
-MEGQQHGEQLKRGLKNRHIQLIALGGAIGTGLFLGSASVIQSAGPGIILGYAIAGFIAFLIMRQLGEMVVEEPVAGSFSHFAYKYWGSFAGFASGWNYWVLYVLVAMAELTAVGKYIQFWYPEIPTWVSAAVFFVVINAINLTNVKVFGEMEFWFAIIKVIAVVAMIIFGGWLLFSGNGGPQATVSNLWDQGGFLPHGFTGLVMMMAIIMFSFGGLELVGITAAEADNPEQSIPKATNQVIYRILIFYIGSLAVLLSLMPWTRVTADTSPFVLIFHELGDTFVANALNIVVLTAALSVYNSCVYCNSRMLFGLAQQGNAPKALASVDKRGVPVNTILVSALVTALCVLINYLAPESAFGLLMALVVSALVINWAMISLAHMKFRRAKQEQGVVTRFPALLYPLGNWICLLFMAAVLVIMLMTPGMAISVYLIPVWLIVLGIGYLFKEKTAKAVKAH
->109
-MAYSKIRQPKLSDVIEQQLEFLILEGTLRPGEKLPPERELAKQFDVSRPSLREAIQRLEAKGLLLRRQGGGTFVQSSLWQSFSDPLVELLSDHPESQYDLLETRHALEGIAAYYAALRSTDEDKERIRELHHAIELAQQSGDLDAESNAVLQYQIAVTEAAHNVVLLHLLRCMEPMLAQNVRQNFELLYSRREMLPLVSSHRTRIFEAIMAGKPEEAREASHRHLAFIEEILLDRSREESRRERSLRRLEQRKN
->110
-MSERFPNDVDPIETRDWLQAIESVIREEGVERAQYLIDQLLAEARKGGVNVAAGTGISNYINTIPVEEQPEYPGNLELERRIRSAIRWNAIMTVLRASKKDLELGGHMASFQSSATIYDVCFNHFFRARNEQDGGDLVYFQGHISPGVYARAFLEGRLTQEQLDNFRQEVHGNGLSSYPHPKLMPEFWQFPTVSMGLGPIGAIYQAKFLKYLEHRGLKDTSKQTVYAFLGDGEMDEPESKGAITIATREKLDNLVFVINCNLQRLDGPVTGNGKIINELEGIFEGAGWNVIKVMWGSRWDELLRKDTSGKLIQLMNETVDGDYQTFKSKDGAYVREHFFGKYPETAALVADWTDEQIWALNRGGHDPKKIYAAFKKAQETKGKATVILAHTIKGYGMGDAAEGKNIAHQVKKMNMDGVRHIRDRFNVPVSDTDIEKLPYITFPEGSEEHTYLHAQRQKLHGYLPSRQPNFTEKLELPSLQDFGALLEEQSKEISTTIAFVRALNVMLKNKSIKDRLVPIIADEARTFGMEGLFRQIGIYSPNGQQYTPQDREQVAYYKEDEKGQILQEGINELGAGCSWLAAATSYSTNNLPMIPFYIYYSMFGFQRIGDLCWAAGDQQARGFLIGGTSGRTTLNGEGLQHEDGHSHIQSLTIPNCISYDPAYAYEVAVIMHDGLERMYGEKQENVYYYITTLNENYHMPAMPEGAEEGIRKGIYKLETIEGSKGKVQLLGSGSILRHVREAAEILAKDYGVGSDVYSVTSFTELARDGQDCERWNMLHPLETPRVPYIAQVMNDAPAVASTDYMKLFAEQVRTYVPADDYRVLGTDGFGRSDSRENLRHHFEVDASYVVVAALGELAKRGEIDKKVVADAIAKFNIDADKVNPRLA
->111
-MAIEIKVPDIGADEVEITEILVKVGDKVEAEQSLITVEGDKASMEVPSPQAGIVKEIKVSVGDKTQTGALIMIFDSADGAADAAPAQAEEKKEAAPAAAPAAAAAKDVNVPDIGSDEVEVTEILVKVGDKVEAEQSLITVEGDKASMEVPAPFAGTVKEIKVNVGDKVSTGSLIMVFEVAGEAGAAAPAAKQEAAPAAAPAPAAGVKEVNVPDIGGDEVEVTEVMVKVGDKVAAEQSLITVEGDKASMEVPAPFAGVVKELKVNVGDKVKTGSLIMIFEVEGAAPAAAPAKQEAAAPAPAAKAEAPAAAPAAKAEGKSEFAENDAYVHATPLIRRLAREFGVNLAKVKGTGRKGRILREDVQAYVKEAIKRAEAAPAATGGGIPGMLPWPKVDFSKFGEIEEVELGRIQKISGANLSRNWVMIPHVTHFDKTDITELEAFRKQQNEEAAKRKLDVKITPVVFIMKAVAAALEQMPRFNSSLSEDGQRLTLKKYINIGVAVDTPNGLVVPVFKDVNKKGIIELSRELMTISKKARDGKLTAGEMQGGCFTISSIGGLGTTHFAPIVNAPEVAILGVSKSAMEPVWNGKEFVPRLMLPISLSFDHRVIDGADGARFITIINNTLSDIRRLVM
->112
-MSTEIKTQVVVLGAGPAGYSAAFRCADLGLETVIVERYNTLGGVCLNVGCIPSKALLHVAKVIEEAKALAEHGIVFGEPKTDIDKIRTWKEKVINQLTGGLAGMAKGRKVKVVNGLGKFTGANTLEVEGENGKTVINFDNAIIAAGSRPIQLPFIPHEDPRIWDSTDALELKEVPERLLVMGGGIIGLEMGTVYHALGSQIDVVEMFDQVIPAADKDIVKVFTKRISKKFNLMLETKVTAVEAKEDGIYVTMEGKKAPAEPQRYDAVLVAIGRVPNGKNLDAGKAGVEVDDRGFIRVDKQLRTNVPHIFAIGDIVGQPMLAHKGVHEGHVAAEVIAGKKHYFDPKVIPSIAYTEPEVAWVGLTEKEAKEKGISYETATFPWAASGRAIASDCADGMTKLIFDKESHRVIGGAIVGTNGGELLGEIGLAIEMGCDAEDIALTIHAHPTLHESVGLAAEVFEGSITDLPNPKAKKK
->113
-MKMTLPFKPHVLALICSAGLCAASTGLYIKSRTVEAPVEPQSTQLAVSDAAAVTFPATVSAPPVTPAVVKSAFSTAQIDQWVAPVALYPDALLSQVLMASTYPTNVAQAVQWSHDNPLKQGDAAIQAVSDQPWDASVKSLVAFPQLMALMGENPQWVQNLGDAFLAQPQDVMDSVQRLRQLAQQTGSLKSSTEQKVITTTKKAVPVKQTVTAPVIPSNTVLTANPVITEPATTVISIEPANPDVVYIPNYNPTVVYGNWANTAYPPVYLPPPAGEPFVDSFVRGFGYSMGVATTYALFSSIDWDDDDHDHHHHDDDDYHHHDGGHRDGNGWQHNGDNINIDVNNFNRITGEHLTDKNMAWRHNPNYRNGVPYHDQDMAKRFHQTDVNGGMSATQLPAPTRDSQRQAAANQFQQRTHAAPVITRDTQRQAAAQRFNEAEHYGSYDDFHDFSRRQPLTQQQKDAARQRYQSASPEQRQAVRERMQTNPKIQQRREAARERIQSASPEQRQAVREKMQTNPQNQQRRDAARERIQSASPEQRQVFKEKVQQRPLNQQQRDNARQRVQSASPEQRQVFREKVQESRPQRLNDSNHTVRLNNEQRSAVRERLSERGARRLER
->114
-MLEEYRKHVAERAAEGIAPKPLDANQMAALVELLKNPPAGEEEFLLDLLTNRVPPGVDEAAYVKAGFLAAIAKGEAKSPLLTPEKAIELLGTMQGGYNIHPLIDALDDAKLAPIAAKALSHTLLMFDNFYDVEEKAKAGNEYAKQVMQSWADAEWFLNRPALAEKLTVTVFKVTGETNTDDLSPAPDAWSRPDIPLHALAMLKNAREGIEPDQPGVVGPIKQIEALQQKGFPLAYVGDVVGTGSSRKSATNSVLWFMGDDIPHVPNKRGGGLCLGGKIAPIFFNTMEDAGALPIEVDVSNLNMGDVIDVYPYKGEVRNHETGELLATFELKTDVLIDEVRAGGRIPLIIGRGLTTKAREALGLPHSDVFRQAKDVAESDRGFSLAQKMVGRACGVKGIRPGAYCEPKMTSVGSQDTTGPMTRDELKDLACLGFSADLVMQSFCHTAAYPKPVDVNTHHTLPDFIMNRGGVSLRPGDGVIHSWLNRMLLPDTVGTGGDSHTRFPIGISFPAGSGLVAFAAATGVMPLDMPESVLVRFKGKMQPGITLRDLVHAIPLYAIKQGLLTVEKKGKKNIFSGRILEIEGLPDLKVEQAFELTDASAERSAAGCTIKLNKEPIIEYLNSNIVLLKWMIAEGYGDRRTLERRIQGMEKWLANPELLEADADAEYAAVIDIDLADIKEPILCAPNDPDDARPLSAVQGEKIDEVFIGSCMTNIGHFRAAGKLLDAHKGQLPTRLWVAPPTRMDAAQLTEEGYYSVFGKSGARIEIPGCSLCMGNQARVADGATVVSTSTRNFPNRLGTGANVFLASAELAAVAALIGKLPTPEEYQTYVAQVDKTAVDTYRYLNFNQLSQYTEKADGVIFQTAV
->115
-MDYEFLRDITGVVKVRMSMGHEVVGHWFNEEVKENLALLDEVEQAAHALKGSERSWQRAGHEYTLWMDGEEVMVRANQLEFAGDEMEEGMNYYDEESLSLCGVEDFLQVVAAYRNFVQQK
->116
-MKKLKLHGFNNLTKSLSFCIYDICYAKTAEERDGYIAYIDELYNANRLTEILSETCSIIGANILNIARQDYEPQGASVTILVSEEPVDPKLIDKTEHPGPLPETVVAHLDKSHICVHTYPESHPEGGLCTFRADIEVSTCGVISPLKALNYLIHQLESDIVTIDYRVRGFTRDINGMKHFIDHEINSIQNFMSDDMKALYDMVDVNVYQENIFHTKMLLKEFDLKHYMFHTKPEDLTDSERQEITAALWKEMREIYYGRNMPAV
->117
-MAEKKQWHETLHDQFGQYFAVDNVLYHEKTDHQDLIIFENAAFGRVMALDGVVQTTERDEFIYHEMMTHVPLLAHGHAKHVLIIGGGDGAMLREVTRHKNVESITMVEIDAGVVSFCRQYLPNHNAGSYDDPRFKLVIDDGVNFVNQTSQTFDVIISDCTDPIGPGESLFTSAFYEGCKRCLNPGGIFVAQNGVCFLQQEEAIDSHRKLSHYFSDVGFYQAAIPTYYGGIMTFAWATDNDALRHLSTEIIQARFLASGLKCRYYNPAIHTAAFALPQYLQDALASQPS
->118
-MKTFFRTVLFGSLMAVCANSYALSESEAEDMADLTAVFVFLKNDCGYQNLPNGQIRRALVFFAQQNQWDLSNYDTFDMKALGEDSYRDLSGIGIPVAKKCKALARDSLSLLAYVK
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_01.pfam b/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_01.pfam
deleted file mode 100644
index ce05789384..0000000000
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_01.pfam
+++ /dev/null
@@ -1,246 +0,0 @@
-#                                                                            --- full sequence --- -------------- this domain -------------   hmm coord   ali coord   env coord
-# target name        accession   tlen query name           accession   qlen   E-value  score  bias   #  of  c-Evalue  i-Evalue  score  bias  from    to  from    to  from    to  acc description of target
-#------------------- ---------- ----- -------------------- ---------- ----- --------- ------ ----- --- --- --------- --------- ------ ----- ----- ----- ----- ----- ----- ----- ---- ---------------------
-Homoserine_dh        PF00742.17   173 0                    -            820   4.7e-49  166.5   0.0   1   1   6.8e-52   2.2e-48  164.3   0.0     1   173   614   811   614   811 0.93 Homoserine dehydrogenase
-AA_kinase            PF00696.26   241 0                    -            820     2e-46  158.4   0.3   1   1   1.9e-49   6.1e-46  156.8   0.1     3   241     2   284     1   284 0.87 Amino acid kinase family
-NAD_binding_3        PF03447.14   117 0                    -            820   7.3e-33  113.6   0.0   1   1   6.5e-36   2.1e-32  112.1   0.0     1   116   472   605   472   606 0.97 Homoserine dehydrogenase, NAD binding domain
-ACT_7                PF13840.4     65 0                    -            820   3.4e-19   68.3   1.3   1   2   4.7e-11   1.5e-07   30.9   0.0     5    63   314   374   312   376 0.90 ACT domain
-ACT_7                PF13840.4     65 0                    -            820   3.4e-19   68.3   1.3   2   2   1.7e-12   5.5e-09   35.6   0.3     3    61   393   453   391   457 0.92 ACT domain
-ACT                  PF01842.23    67 0                    -            820   1.5e-17   62.9   0.3   1   2   2.2e-11   7.1e-08   32.0   0.0     6    61   324   376   320   381 0.91 ACT domain
-ACT                  PF01842.23    67 0                    -            820   1.5e-17   62.9   0.3   2   2   5.2e-10   1.7e-06   27.5   0.5     6    51   405   447   400   453 0.81 ACT domain
-GHMP_kinases_N       PF00288.24    66 1                    -            310   2.5e-14   53.1   0.3   1   1   7.4e-18     6e-14   51.9   0.3     3    66    85   150    83   150 0.86 GHMP kinases N terminal domain
-GHMP_kinases_C       PF08544.11    85 1                    -            310   5.9e-10   39.2   2.2   1   1   8.1e-14   6.6e-10   39.1   0.0     3    77   212   281   210   288 0.89 GHMP kinases C terminal
-PALP                 PF00291.23   294 2                    -            428   3.4e-24   85.6   0.0   1   1   5.9e-28   4.8e-24   85.1   0.0    30   281    99   369    83   372 0.82 Pyridoxal-phosphate dependent enzyme
-Thr_synth_N          PF14821.4     79 2                    -            428   1.6e-14   53.7   0.1   1   1   9.2e-18   7.5e-14   51.6   0.0     7    79     8    80     4    80 0.96 Threonine synthase N terminus
-DUF2502              PF10697.7     90 3                    -             98   1.1e-15   57.6  14.4   1   1   1.1e-19   1.9e-15   56.9  14.4     1    58    25    70    25    97 0.81 Protein of unknown function (DUF2502)
-H2O2_YaaD            PF03883.12   233 4                    -            258   2.1e-91  305.5   0.0   1   1   1.4e-95   2.3e-91  305.3   0.0     1   232     1   243     1   244 0.97 Peroxide stress protein YaaA
-Na_Ala_symp          PF01235.15   393 5                    -            476  1.6e-142  475.3  25.5   1   1  1.2e-146  1.9e-142  475.1  25.5     7   393    52   453    46   453 0.96 Sodium:alanine symporter family
-TAL_FSA              PF00923.17   287 6                    -            317    1e-102  343.3   0.3   1   1  6.9e-107  1.1e-102  343.1   0.3     1   287    14   313    14   313 0.95 Transaldolase/Fructose-6-phosphate aldolase
-MoCF_biosynth        PF00994.22   144 7                    -            195   4.7e-28   97.5   0.0   1   1   3.6e-32   5.8e-28   97.2   0.0     2   138     8   147     7   152 0.89 Probable molybdopterin binding domain
-Grp1_Fun34_YaaH      PF01184.17   207 8                    -            188   5.2e-41  140.4  22.6   1   1   3.8e-45   6.2e-41  140.1  22.6    15   195     4   177     1   185 0.94 GPR1/FUN34/yaaH family
-Ubiq_cyt_C_chap      PF03981.10   141 9                    -            237   2.4e-23   82.7   0.2   1   1   4.5e-27   3.6e-23   82.1   0.2     1   139    58   220    58   225 0.96 Ubiquinol-cytochrome C chaperone
-DUF3944              PF13099.4     35 9                    -            237   1.2e-15   57.0   0.7   1   1   4.5e-19   3.7e-15   55.4   0.7     1    35     5    39     5    39 0.98 Domain of unknown function (DUF3944)
-DUF2541              PF10807.6    130 10                   -            134   1.1e-64  216.2   0.8   1   1   7.7e-69   1.2e-64  216.0   0.8     1   130     3   132     3   132 0.99 Protein of unknown function (DUF2541)
-HSP70                PF00012.18   599 11                   -            638  2.3e-271  901.1  16.0   1   1  3.3e-275  2.7e-271  900.9  16.0     1   597     4   602     4   604 0.99 Hsp70 protein
-MreB_Mbl             PF06723.11   327 11                   -            638   9.3e-15   54.1   2.0   1   1   1.5e-16   1.2e-12   47.1   0.5    74   316   116   376   109   381 0.78 MreB/Mbl protein
-DnaJ_C               PF01556.16   146 12                   -            376   5.5e-45  152.9   0.0   1   1   1.3e-48   7.2e-45  152.6   0.0     2   146   118   330   117   330 0.96 DnaJ C terminal domain
-DnaJ                 PF00226.29    63 12                   -            376   7.6e-29   99.5   4.8   1   1   2.2e-32   1.2e-28   98.9   4.8     1    63     5    67     5    67 0.99 DnaJ domain
-DnaJ_CXXCXGXG        PF00684.17    67 12                   -            376   2.3e-16   59.8  17.1   1   1   7.8e-20   4.3e-16   58.9  17.1     1    67   144   204   144   204 0.89 DnaJ central domain
-DDE_Tnp_1            PF01609.19   214 13                   -            370   6.6e-30  104.2   0.0   1   1   6.7e-34   1.1e-29  103.5   0.0     2   214   107   348   106   348 0.94 Transposase DDE domain
-HOK_GEF              PF01848.14    42 15                   -             69   8.7e-21   72.9   5.4   1   1   6.4e-25     1e-20   72.7   5.4     1    42    25    66    25    66 0.98 Hok/gef family
-Na_H_antiport_1      PF06965.10   376 16                   -            388    2e-152  507.3  28.6   1   1  1.4e-156  2.2e-152  507.1  28.6     2   376     6   380     5   380 0.97 Na+/H+ antiporter 1
-HTH_1                PF00126.25    60 17                   -            299     6e-16   58.0   0.0   1   1   1.4e-19   1.2e-15   57.1   0.0     2    60     7    65     6    65 0.97 Bacterial regulatory helix-turn-helix protein, lysR family
-LysR_substrate       PF03466.18   209 17                   -            299   2.6e-10   39.9   0.0   1   1   4.4e-14   3.6e-10   39.4   0.0    10   199    97   284    90   288 0.93 LysR substrate binding domain
-Usher                PF00577.18   551 19                   -            381   4.5e-59  200.6  14.9   1   1   6.3e-63   5.2e-59  200.4  14.9   266   551     1   298     1   298 0.94 Outer membrane usher protein
-PapC_C               PF13953.4     66 19                   -            381   1.9e-09   37.1   0.0   1   1   5.4e-13   4.4e-09   35.9   0.0     2    63   308   369   307   370 0.96 PapC C-terminal domain
-HTH_Tnp_IS1          PF12759.5     46 21                   -             91   3.1e-31  106.6   0.5   1   1   5.7e-35   4.6e-31  106.0   0.5     1    46    43    88    43    88 0.99 InsA C-terminal domain
-Zn_Tnp_IS1           PF03811.11    35 21                   -             91   5.4e-22   77.1   6.2   1   1   1.5e-25   1.3e-21   75.9   6.2     1    35     1    36     1    36 0.99 InsA N-terminal domain
-DDE_Tnp_IS1          PF03400.11   131 22                   -            125   1.7e-74  248.2   1.5   1   1   1.1e-78   1.8e-74  248.1   1.5     7   131     1   125     1   125 1.00 IS1 transposase
-Ribosomal_S20p       PF01649.16    82 24                   -             87   1.6e-27   95.8  16.2   1   1   1.1e-31   1.7e-27   95.7  16.2     1    82     2    84     2    84 0.99 Ribosomal protein S20
-FAD_syn              PF06574.10   158 25                   -            313   2.6e-57  193.0   0.0   1   1   4.4e-61   3.6e-57  192.6   0.0     3   158    13   168    11   168 0.98 FAD synthetase
-Flavokinase          PF01687.15   111 25                   -            313   2.7e-37  127.3   0.0   1   1   5.1e-41   4.2e-37  126.7   0.0     1   111   185   307   185   307 0.95 Riboflavin kinase
-tRNA-synt_1          PF00133.20   602 26                   -            938  2.3e-235  782.3   0.0   1   1    1e-238  2.8e-235  782.1   0.0     2   601    28   640    27   641 0.98 tRNA synthetases class I (I, L, M and V)
-Anticodon_1          PF08264.11   152 26                   -            938   1.4e-27   96.4   0.0   1   1     1e-30   2.7e-27   95.4   0.0     1   150   685   840   685   842 0.89 Anticodon-binding domain of tRNA
-tRNA-synt_1g         PF09334.9    391 26                   -            938   6.2e-20   71.2   0.1   1   1   6.9e-14   1.9e-10   40.0   0.0     8    69    58   120    53   243 0.65 tRNA synthetases class I (M)
-zf-FPG_IleRS         PF06827.12    30 26                   -            938   1.7e-09   37.2   3.9   1   1   6.3e-13   1.7e-09   37.2   3.9     1    29   898   926   898   927 0.96 Zinc finger found in FPG and IleRS
-tRNA-synt_1e         PF01406.17   301 26                   -            938     1e-08   34.7   0.0   1   1     1e-09   2.8e-06   26.8   0.0   226   299   574   648   547   650 0.83 tRNA synthetases class I (C) catalytic domain
-tRNA-synt_1_2        PF13603.4    185 26                   -            938   3.8e-07   29.7   0.0   1   1   2.6e-10   6.9e-07   28.8   0.0    11   142   223   359   219   369 0.81 Leucyl-tRNA synthetase, Domain 2
-Peptidase_A8         PF01252.16   130 27                   -            164     4e-35  120.9   8.6   1   1   2.8e-39   4.6e-35  120.8   8.6     2   128    16   155    15   157 0.88 Signal peptidase (SPase) II
-FKBP_C               PF00254.26    94 28                   -            149   1.5e-15   57.1   0.0   1   1   1.3e-19   2.2e-15   56.6   0.0     5    94     5   141     2   141 0.85 FKBP-type peptidyl-prolyl cis-trans isomerase
-LYTB                 PF02401.16   265 29                   -            316   1.4e-92  309.6   0.0   1   1   9.6e-97   1.6e-92  309.4   0.0     1   264     3   282     3   283 0.94 LytB protein
-IU_nuc_hydro         PF01156.17   304 30                   -            304     3e-81  273.2   0.1   1   1   2.1e-85   3.5e-81  273.0   0.1     2   303     4   293     3   294 0.89 Inosine-uridine preferring nucleoside hydrolase
-DapB_C               PF05173.12   121 31                   -            273   4.7e-43  145.9   0.2   1   1   8.1e-47   6.6e-43  145.5   0.2     1   121   132   268   132   268 0.92 Dihydrodipicolinate reductase, C-terminus
-DapB_N               PF01113.18   124 31                   -            273   9.1e-42  142.0   0.5   1   1   5.3e-45   4.3e-41  139.8   0.1     1   124     6   129     6   129 0.99 Dihydrodipicolinate reductase, N-terminus
-CPSase_sm_chain      PF00988.20   127 32                   -            382   1.2e-52  176.9   0.1   1   1   3.9e-56   2.1e-52  176.1   0.1     2   127     5   132     4   132 0.98 Carbamoyl-phosphate synthase small chain, CPSase domain
-GATase               PF00117.26   190 32                   -            382   6.2e-51  172.7   0.0   1   1   2.5e-54   1.3e-50  171.6   0.0     3   189   197   372   195   373 0.96 Glutamine amidotransferase class-I
-Peptidase_C26        PF07722.11   216 32                   -            382   8.3e-08   32.1   0.1   1   1   6.5e-10   3.5e-06   26.8   0.1    93   216   250   355   238   355 0.74 Peptidase C26
-CPSase_L_D2          PF02786.15   211 33                   -           1073  9.3e-118  391.1   2.6   1   2   5.9e-81   1.6e-77  259.6   0.0     1   210   128   334   128   335 0.99 Carbamoyl-phosphate synthase L chain, ATP binding domain
-CPSase_L_D2          PF02786.15   211 33                   -           1073  9.3e-118  391.1   2.6   2   2   1.3e-41   3.5e-38  131.1   0.7     1   210   674   876   674   877 0.95 Carbamoyl-phosphate synthase L chain, ATP binding domain
-CPSase_L_D3          PF02787.17   123 33                   -           1073   1.7e-40  138.1   0.1   1   1   1.6e-43   4.3e-40  136.7   0.1     2   123   427   547   426   547 0.96 Carbamoyl-phosphate synthetase large chain, oligomerisation domain
-MGS                  PF02142.20    95 33                   -           1073   6.3e-19   67.8   0.6   1   1   1.1e-21   3.1e-18   65.6   0.0     2    94   957  1041   956  1042 0.97 MGS-like domain
-ATP-grasp            PF02222.20   171 33                   -           1073   3.3e-15   55.9   0.5   1   2   1.8e-08     5e-05   22.8   0.0     2   161   137   305   136   313 0.81 ATP-grasp domain
-ATP-grasp            PF02222.20   171 33                   -           1073   3.3e-15   55.9   0.5   2   2   5.9e-11   1.6e-07   30.9   0.3     2   160   683   846   682   849 0.85 ATP-grasp domain
-ATP-grasp_3          PF02655.12   161 33                   -           1073   2.3e-11   43.9   0.7   1   1     4e-11   1.1e-07   31.9   0.0     5   158   676   846   672   849 0.79 ATP-grasp domain
-CaiF_GrlA            PF07180.9    146 34                   -            131   9.8e-07   28.7   0.1   1   1   7.5e-11   1.2e-06   28.4   0.1    19    75     5    61     2    98 0.90 CaiF/GrlA transcriptional regulator
-Hexapep              PF00132.22    36 35                   -            196   2.2e-14   52.4  14.6   1   2   1.6e-09   2.5e-05   23.7   0.1     3    32    12    41    11    45 0.88 Bacterial transferase hexapeptide (six repeats)
-Hexapep              PF00132.22    36 35                   -            196   2.2e-14   52.4  14.6   2   2   6.9e-12   1.1e-07   31.1   0.4     1    35    88   122    88   123 0.95 Bacterial transferase hexapeptide (six repeats)
-ECH_1                PF00378.18   251 36                   -            261   4.7e-87  291.3   0.0   1   1   6.4e-91   5.2e-87  291.2   0.0     2   250     9   260     8   261 0.98 Enoyl-CoA hydratase/isomerase
-ECH_2                PF16113.3    334 36                   -            261   3.3e-32  112.2   0.0   1   1   4.8e-36   3.9e-32  111.9   0.0     3   204    15   216    13   246 0.87 Enoyl-CoA hydratase/isomerase
-AMP-binding          PF00501.26   423 37                   -            517   2.3e-89  299.8   0.0   1   1   3.3e-93   2.7e-89  299.6   0.0     5   422    17   426    13   427 0.87 AMP-binding enzyme
-AMP-binding_C        PF13193.4     74 37                   -            517   1.2e-15   58.1   0.0   1   1   3.7e-19     3e-15   56.8   0.0     1    74   435   510   435   510 0.94 AMP-binding enzyme C-terminal domain
-CoA_transf_3         PF02515.15   368 38                   -            245   5.5e-39  134.2   0.0   1   1   3.8e-43   6.2e-39  134.0   0.0   161   368     5   218     1   218 0.95 CoA-transferase family III
-CoA_transf_3         PF02515.15   368 39                   -            139   7.8e-29  100.8   0.0   1   1   5.2e-33   8.5e-29  100.7   0.0     1   128    12   133    12   139 0.94 CoA-transferase family III
-Acyl-CoA_dh_1        PF00441.22   150 40                   -            380   3.7e-46  156.9   1.3   1   1   1.2e-49     5e-46  156.5   1.3     1   150   227   376   227   376 0.99 Acyl-CoA dehydrogenase, C-terminal domain
-Acyl-CoA_dh_M        PF02770.17    97 40                   -            380   7.4e-22   77.2   0.0   1   1   4.6e-25   1.9e-21   75.9   0.0     3    97   123   215   121   215 0.94 Acyl-CoA dehydrogenase, middle domain
-Acyl-CoA_dh_N        PF02771.14   113 40                   -            380   5.1e-15   56.0   0.0   1   1   2.8e-18   1.1e-14   54.9   0.0     1   104     6   108     6   111 0.93 Acyl-CoA dehydrogenase, N-terminal domain
-Acyl-CoA_dh_2        PF08028.9    134 40                   -            380   7.4e-15   55.3   0.6   1   1   2.8e-18   1.1e-14   54.7   0.6     4   125   245   356   242   359 0.94 Acyl-CoA dehydrogenase, C-terminal domain
-BCCT                 PF02028.15   485 41                   -            504  4.1e-115  384.9  42.0   1   1  2.8e-119  4.6e-115  384.7  42.0     1   484    14   500    14   501 0.98 BCCT, betaine/carnitine/choline family transporter
-ETF                  PF01012.19   182 42                   -            256   5.2e-39  133.9   3.6   1   1   3.7e-43   6.1e-39  133.7   3.6     7   181    28   210    22   211 0.93 Electron transfer flavoprotein domain
-ETF_alpha            PF00766.17    84 43                   -            313   3.4e-30  103.8   0.1   1   1   1.1e-33   8.9e-30  102.4   0.1     1    84   190   274   190   274 0.97 Electron transfer flavoprotein FAD-binding domain
-ETF                  PF01012.19   182 43                   -            313   4.5e-14   52.6   1.5   1   1   8.9e-18   7.3e-14   51.9   1.5    50   178    42   169    19   195 0.88 Electron transfer flavoprotein domain
-DAO                  PF01266.22   336 44                   -            428   1.6e-16   60.8   1.8   1   2   4.9e-10   6.2e-07   29.2   0.3     1    49     7    54     7    92 0.80 FAD dependent oxidoreductase
-DAO                  PF01266.22   336 44                   -            428   1.6e-16   60.8   1.8   2   2   1.5e-10   1.9e-07   30.9   0.1   143   335   109   329   100   330 0.61 FAD dependent oxidoreductase
-FAD_binding_3        PF01494.17   356 44                   -            428   5.4e-12   45.5   6.5   1   1   3.1e-14   3.9e-11   42.7   6.5     3   197     7   189     6   311 0.66 FAD binding domain
-FAD_oxidored         PF12831.5    433 44                   -            428   2.1e-09   37.1   1.1   1   1   1.7e-12   2.1e-09   37.1   1.1     1   140     7   157     7   168 0.74 FAD dependent oxidoreductase
-FAD_binding_2        PF00890.22   417 44                   -            428   2.2e-09   36.8   8.0   1   1     4e-09     5e-06   25.7   4.1     1    35     7    41     7    55 0.91 FAD binding domain
-HI0933_like          PF03486.12   409 44                   -            428   8.4e-09   34.5   4.1   1   1   2.5e-11   3.2e-08   32.6   4.1     2   167     7   165     6   185 0.86 HI0933-like protein
-NAD_binding_8        PF13450.4     68 44                   -            428   2.3e-08   34.0   1.0   1   1   7.3e-11   9.2e-08   32.1   0.6     1    34    10    43    10    73 0.85 NAD(P)-binding Rossmann-like domain
-GIDA                 PF01134.20   392 44                   -            428     9e-08   31.5   0.8   1   1   7.1e-11     9e-08   31.5   0.8     1   150     7   162     7   194 0.82 Glucose inhibited division protein A
-Trp_halogenase       PF04820.12   454 44                   -            428   1.3e-07   30.8   3.9   1   1   8.9e-08   0.00011   21.1   0.0   140   216    90   169    61   186 0.83 Tryptophan halogenase
-Sugar_tr             PF00083.22   452 46                   -            443   2.8e-52  178.0  23.9   1   1   4.8e-56   3.9e-52  177.5  23.9    14   449    32   433    21   435 0.91 Sugar (and other) transporter
-MFS_1                PF07690.14   353 46                   -            443   4.7e-36  124.3  63.2   1   1   1.6e-37   1.3e-33  116.3  33.9     7   352    29   386    25   387 0.82 Major Facilitator Superfamily
-Flavodoxin_2         PF02525.15   198 47                   -            176   3.6e-41  140.9   0.0   1   1   5.3e-45   4.4e-41  140.7   0.0     3   198     2   167     1   167 0.91 Flavodoxin-like fold
-FMN_red              PF03358.13   155 47                   -            176   1.5e-07   31.2   0.0   1   1   2.6e-11   2.1e-07   30.7   0.0    62   126    45   115     8   137 0.80 NADPH-dependent FMN reductase
-Na_H_Exchanger       PF00999.19   381 48                   -            620   7.2e-62  209.2  47.1   1   1   1.2e-65   9.6e-62  208.8  47.1     2   379    11   374    10   379 0.94 Sodium/hydrogen exchanger family
-TrkA_N               PF02254.16   116 48                   -            620   1.3e-26   93.0   0.0   1   1   4.3e-30   3.5e-26   91.6   0.0     1   111   402   512   402   514 0.97 TrkA-N domain
-DHFR_1               PF00186.17   161 49                   -            196   6.2e-58  194.9   0.0   1   1   4.5e-62   7.4e-58  194.7   0.0     1   161    38   195    38   195 0.98 Dihydrofolate reductase
-Metallophos          PF00149.26   204 50                   -            280   3.5e-14   53.6   0.1   1   1   5.8e-18   9.5e-14   52.2   0.0     4   128     4   139     1   227 0.73 Calcineurin-like phosphoesterase
-DUF525               PF04379.12    87 51                   -            125   1.6e-33  114.6   0.0   1   1   1.2e-37   1.9e-33  114.4   0.0     2    86    18   102    17   103 0.98 ApaG domain
-RrnaAD               PF00398.18   265 52                   -            273   2.8e-89  298.6   0.0   1   1   1.9e-93   3.1e-89  298.4   0.0     2   264     9   265     8   266 0.98 Ribosomal RNA adenine dimethylase
-PdxA                 PF04166.10   282 53                   -            329  2.1e-110  368.5   0.0   1   1  1.6e-114  2.6e-110  368.2   0.0     5   282    34   321    31   321 0.96 Pyridoxal phosphate biosynthetic protein PdxA
-Rotamase             PF00639.19    96 54                   -            428   2.2e-49  166.2   0.0   1   2   5.8e-24   1.9e-20   73.5   0.0     1    96   178   272   178   272 0.97 PPIC-type PPIASE domain
-Rotamase             PF00639.19    96 54                   -            428   2.2e-49  166.2   0.0   2   2   5.9e-29   1.9e-25   89.5   0.0     1    94   289   380   289   382 0.98 PPIC-type PPIASE domain
-Rotamase_3           PF13616.4    116 54                   -            428   2.8e-47  159.9   0.0   1   2   2.6e-21   8.4e-18   64.9   0.0     7   114   165   272   155   274 0.91 PPIC-type PPIASE domain
-Rotamase_3           PF13616.4    116 54                   -            428   2.8e-47  159.9   0.0   2   2   7.4e-30   2.4e-26   92.4   0.0    13   115   282   383   275   384 0.93 PPIC-type PPIASE domain
-SurA_N               PF09312.9    118 54                   -            428   1.2e-45  154.3   9.0   1   1   3.6e-49   1.2e-45  154.3   9.0     1   118    25   142    25   142 0.99 SurA N-terminal domain
-Rotamase_2           PF13145.4    121 54                   -            428   1.1e-16   61.7   0.9   1   2   2.1e-10   6.8e-07   30.1   0.0    33   111   196   276   182   287 0.65 PPIC-type PPIASE domain
-Rotamase_2           PF13145.4    121 54                   -            428   1.1e-16   61.7   0.9   2   2   5.3e-10   1.7e-06   28.8   0.1    33   110   302   385   293   396 0.65 PPIC-type PPIASE domain
-SurA_N_3             PF13624.4    162 54                   -            428   3.3e-14   52.9   4.6   1   1     4e-17   1.3e-13   50.9   4.6    40   161    24   141     4   142 0.84 SurA N-terminal domain
-OstA_C               PF04453.12   387 55                   -            784  8.9e-113  377.3  31.6   1   1  2.4e-116    2e-112  376.1  31.6     2   387   309   697   308   697 0.99 Organic solvent tolerance protein
-OstA                 PF03968.12   113 55                   -            784   9.5e-29   99.8   0.0   1   1   2.6e-32   2.1e-28   98.7   0.0     1   112    53   194    53   195 0.98 OstA-like protein
-DnaJ                 PF00226.29    63 56                   -            271   3.8e-11   42.8   0.1   1   1   8.7e-15   7.1e-11   41.9   0.1     4    56   208   267   205   269 0.85 DnaJ domain
-TerB                 PF05099.11   144 56                   -            271   4.9e-10   39.4   0.8   1   1     6e-14   4.9e-10   39.4   0.8    20   141    47   170    32   173 0.88 Tellurite resistance protein TerB
-PseudoU_synth_2      PF00849.20   161 57                   -            219   4.4e-30  104.8   0.0   1   1   3.3e-34   5.4e-30  104.5   0.0     1   160    22   169    22   170 0.92 RNA pseudouridylate synthase
-RapA_C               PF12137.6    360 58                   -            968  7.8e-159  528.3   1.5   1   1  2.9e-162  1.2e-158  527.7   1.5     1   360   605   965   605   965 0.99 RNA polymerase recycling family C-terminal
-SNF2_N               PF00176.21   350 58                   -            968   5.2e-19   68.0   0.0   1   1   2.2e-22     9e-19   67.2   0.0    59   293   174   441   165   461 0.85 SNF2 family N-terminal domain
-Helicase_C           PF00271.29   111 58                   -            968   7.8e-18   64.7   0.0   1   1   9.9e-20     4e-16   59.2   0.0     7   111   495   601   490   601 0.87 Helicase conserved C-terminal domain
-ResIII               PF04851.13   171 58                   -            968   3.4e-10   40.1   0.0   1   1   2.3e-13   9.5e-10   38.6   0.0    22   170   168   317   115   318 0.74 Type III restriction enzyme, res subunit
-DNA_pol_B            PF00136.19   464 59                   -            783   9.2e-43  146.5   0.0   1   1   4.9e-46     4e-42  144.4   0.0    30   415   382   735   366   764 0.80 DNA polymerase family B
-DNA_pol_B_exo1       PF03104.17   337 59                   -            783   2.3e-14   53.2   0.0   1   2   9.2e-09   7.5e-05   21.9   0.0    65   173    74   164    59   168 0.80 DNA polymerase family B, exonuclease domain
-DNA_pol_B_exo1       PF03104.17   337 59                   -            783   2.3e-14   53.2   0.0   2   2   6.7e-11   5.5e-07   28.9   0.0   239   337   202   296   187   296 0.74 DNA polymerase family B, exonuclease domain
-Aldolase_II          PF00596.19   186 60                   -            231   2.2e-48  164.5   0.4   1   1   1.7e-52   2.7e-48  164.2   0.4     2   184     8   196     7   198 0.91 Class II Aldolase and Adducin N-terminal domain
-Arabinose_Isome      PF02610.13   356 61                   -            500  6.6e-180  597.8   0.2   1   1  9.7e-184  7.9e-180  597.5   0.2     2   356     5   359     4   359 1.00 L-arabinose isomerase
-Arabinose_Iso_C      PF11762.6    114 61                   -            500   2.3e-46  156.2   0.0   1   1   9.6e-50   7.8e-46  154.5   0.0     1   114   363   476   363   476 0.99 L-arabinose isomerase C-terminal domain
-FGGY_C               PF02782.14   198 62                   -            566   1.7e-36  125.7   0.4   1   1   3.3e-40   2.7e-36  125.0   0.4     3   198   291   501   289   501 0.86 FGGY family of carbohydrate kinases, C-terminal domain
-AraC_binding         PF02311.17   136 63                   -            292   8.2e-27   93.6   0.6   1   1   1.5e-30   8.2e-27   93.6   0.6     4   136    23   160    20   160 0.91 AraC-like ligand binding domain
-HTH_AraC             PF00165.21    42 63                   -            292   2.2e-21   75.3   0.1   1   2     6e-13   3.2e-09   36.5   0.0     3    41   188   227   186   228 0.90 Bacterial regulatory helix-turn-helix proteins, AraC family
-HTH_AraC             PF00165.21    42 63                   -            292   2.2e-21   75.3   0.1   2   2   3.2e-12   1.7e-08   34.2   0.0     2    41   240   277   239   278 0.96 Bacterial regulatory helix-turn-helix proteins, AraC family
-HTH_18               PF12833.5     81 63                   -            292     2e-20   72.7   0.6   1   1   9.2e-24     5e-20   71.4   0.0     1    80   200   278   200   279 0.97 Helix-turn-helix domain
-SNARE_assoc          PF09335.9    120 64                   -            254     7e-19   68.3  10.0   1   1     9e-23   1.5e-18   67.3   1.7     1   118    36   159    36   161 0.88 SNARE associated Golgi protein
-ABC_tran             PF00005.25   137 65                   -            232   1.5e-37  129.0   0.0   1   1     3e-41   2.5e-37  128.3   0.0     4   136    18   157    16   158 0.97 ABC transporter
-BPD_transp_1         PF00528.20   185 66                   -            536   2.1e-16   60.0  21.6   1   2   1.9e-15   3.1e-11   43.2   9.7     5   182    74   267    70   273 0.83 Binding-protein-dependent transport system inner membrane component
-BPD_transp_1         PF00528.20   185 66                   -            536   2.1e-16   60.0  21.6   2   2   1.1e-11   1.8e-07   30.9   4.0    25   173   376   523   366   534 0.81 Binding-protein-dependent transport system inner membrane component
-SBP_bac_6            PF13343.4    243 67                   -            327     3e-17   62.8   2.6   1   1     7e-21   3.8e-17   62.4   2.6     1   225    73   292    73   307 0.81 Bacterial extracellular solute-binding protein
-SBP_bac_1            PF01547.23   315 67                   -            327   1.9e-16   60.8   6.5   1   1   5.2e-20   2.8e-16   60.2   6.5    14   314    40   272    32   273 0.84 Bacterial extracellular solute-binding protein
-SBP_bac_11           PF13531.4    230 67                   -            327   2.8e-15   56.6   0.2   1   1   6.9e-19   3.8e-15   56.1   0.2    29   223    56   274    22   277 0.80 Bacterial extracellular solute-binding protein
-SgrR_N               PF12793.5    115 68                   -            551   2.6e-42  143.5   5.9   1   1   3.1e-46   2.6e-42  143.5   5.9     1   115     5   118     5   118 0.99 Sugar transport-related sRNA regulator N-term
-SBP_bac_5            PF00496.20   377 68                   -            551   4.5e-20   71.8   0.0   1   1   6.9e-23   5.7e-19   68.2   0.0     3   162   165   306   163   317 0.91 Bacterial extracellular solute-binding proteins, family 5 Middle
-SgrT                 PF15894.3     49 69                   -             43   4.9e-11   42.2   2.2   1   1   3.5e-15   5.7e-11   42.0   2.2     3    39     3    37     1    41 0.95 Inhibitor of glucose uptake transporter SgrT
-MFS_1                PF07690.14   353 70                   -            392   3.3e-37  128.1  70.7   1   2   9.1e-29   1.5e-24   86.5  33.2     2   295    19   302    18   305 0.89 Major Facilitator Superfamily
-MFS_1                PF07690.14   353 70                   -            392   3.3e-37  128.1  70.7   2   2   2.7e-19   4.3e-15   55.4  29.4     1   167   220   385   220   391 0.93 Major Facilitator Superfamily
-Aconitase_C          PF00694.17   131 71                   -            201   3.8e-40  137.1   0.0   1   1   3.2e-44   5.1e-40  136.7   0.0     2   130     3   126     2   127 0.97 Aconitase C-terminal domain
-Aconitase            PF00330.18   462 72                   -            466  5.8e-161  536.4   0.4   1   1  4.1e-165  6.7e-161  536.2   0.4     1   462     7   457     7   457 0.96 Aconitase family (aconitate hydratase)
-Iso_dh               PF00180.18   348 73                   -            363  2.8e-139  464.0   0.0   1   1  1.9e-143  3.2e-139  463.8   0.0     1   348     6   355     6   355 0.99 Isocitrate/isopropylmalate dehydrogenase
-HMGL-like            PF00682.17   264 74                   -            523  5.1e-106  353.9   4.4   1   1  9.9e-110  8.1e-106  353.3   4.4     1   264     4   273     4   273 0.99 HMGL-like
-LeuA_dimer           PF08502.8    133 74                   -            523   7.5e-36  122.8   0.4   1   1     2e-39   1.6e-35  121.8   0.4     1   132   369   499   369   500 0.97 LeuA allosteric (dimerisation) domain
-HTH_1                PF00126.25    60 75                   -            314   2.4e-18   65.7   0.0   1   1   5.5e-22   4.5e-18   64.8   0.0     1    58    24    81    24    82 0.97 Bacterial regulatory helix-turn-helix protein, lysR family
-LysR_substrate       PF03466.18   209 75                   -            314     2e-16   59.9   0.0   1   1   3.7e-20     3e-16   59.3   0.0    31   205   137   309   110   313 0.89 LysR substrate binding domain
-TPP_enzyme_N         PF02776.16   172 76                   -            574   2.8e-61  205.9   0.7   1   1   1.3e-61     7e-58  194.9   0.2     2   166     5   168     4   173 0.98 Thiamine pyrophosphate enzyme, N-terminal TPP binding domain
-TPP_enzyme_C         PF02775.19   153 76                   -            574   2.2e-51  173.5   0.2   1   1   5.6e-53   3.1e-49  166.6   0.0     1   153   394   545   394   545 0.95 Thiamine pyrophosphate enzyme, C-terminal TPP binding domain
-TPP_enzyme_M         PF00205.20   137 76                   -            574   2.3e-47  160.1   0.1   1   1   7.5e-51   4.1e-47  159.3   0.1     1   136   196   330   196   331 0.99 Thiamine pyrophosphate enzyme, central domain
-ALS_ss_C             PF10369.7     74 77                   -            163   2.5e-24   85.2   0.4   1   1   1.1e-26   5.9e-23   80.7   0.1     1    74    84   158    84   158 0.97 Small subunit of acetolactate synthase
-ACT_5                PF13710.4     62 77                   -            163   1.5e-15   56.6   0.1   1   1   5.3e-19   2.9e-15   55.7   0.1     2    62    12    73    11    73 0.97 ACT domain
-ACT                  PF01842.23    67 77                   -            163   4.8e-15   54.9   0.0   1   1   1.5e-18   8.1e-15   54.2   0.0     2    66     4    68     3    69 0.97 ACT domain
-LacI                 PF00356.19    46 78                   -            334   2.2e-19   68.8   0.8   1   1   1.2e-22   4.8e-19   67.7   0.8     1    46     2    50     2    50 0.98 Bacterial regulatory proteins, lacI family
-Peripla_BP_1         PF00532.19   279 78                   -            334   3.5e-14   52.8   0.0   1   1   1.1e-17   4.6e-14   52.4   0.0     2   267    62   312    61   327 0.84 Periplasmic binding proteins and sugar binding domain of LacI family
-Peripla_BP_3         PF13377.4    164 78                   -            334   3.6e-11   43.5   0.1   1   1   2.7e-13   1.1e-09   38.6   0.0    10   158   180   325   171   329 0.82 Periplasmic binding protein-like domain
-Peripla_BP_4         PF13407.4    258 78                   -            334   1.8e-09   37.5   0.0   1   1   5.4e-13   2.2e-09   37.1   0.0     1   226    64   282    64   310 0.83 Periplasmic binding protein domain
-MraZ                 PF02381.16    72 79                   -            152   3.7e-49  164.5   0.0   1   2   2.3e-29   3.7e-25   87.6   0.0     1    71     1    75     1    76 0.98 MraZ protein, putative antitoxin-like
-MraZ                 PF02381.16    72 79                   -            152   3.7e-49  164.5   0.0   2   2   1.7e-25   2.7e-21   75.2   0.0     1    59    77   135    77   147 0.92 MraZ protein, putative antitoxin-like
-Methyltransf_5       PF01795.17   309 80                   -            313    5e-124  413.7   0.0   1   1  3.4e-128  5.6e-124  413.5   0.0     2   308     5   310     4   311 0.97 MraW methylase family
-FtsL                 PF04999.11    97 81                   -            121   1.6e-35  120.9   0.1   1   1   1.1e-39   1.9e-35  120.6   0.1     2    96    25   119    24   120 0.97 Cell division protein FtsL
-Transpeptidase       PF00905.20   306 82                   -            588   3.3e-84  282.5   0.1   1   1   5.2e-88   4.3e-84  282.2   0.1     1   305   260   554   260   555 0.96 Penicillin binding protein transpeptidase domain
-PBP_dimer            PF03717.13   180 82                   -            588   7.4e-23   81.7   0.0   1   1     3e-25   2.4e-21   76.7   0.0     5   178    70   220    66   222 0.90 Penicillin-binding Protein dimerisation domain
-Mur_ligase_M         PF08245.10   192 83                   -            495   4.3e-52  176.8   0.1   1   1   1.2e-55   6.6e-52  176.2   0.1     1   191   114   318   114   319 0.93 Mur ligase middle domain
-Mur_ligase_C         PF02875.19    91 83                   -            495   2.6e-26   91.5   0.0   1   1   2.8e-29   1.5e-25   89.1   0.0     1    91   339   425   339   425 0.96 Mur ligase family, glutamate ligase domain
-Mur_ligase           PF01225.23    88 83                   -            495     1e-12   48.0   0.7   1   1   1.3e-15   7.1e-12   45.4   0.3     5    88    25   102    22   102 0.93 Mur ligase family, catalytic domain
-Mur_ligase_M         PF08245.10   192 84                   -            452   2.4e-52  177.6   0.0   1   1   8.2e-56   4.5e-52  176.7   0.0     2   191   106   292   105   293 0.98 Mur ligase middle domain
-Mur_ligase_C         PF02875.19    91 84                   -            452   3.6e-16   59.1   0.0   1   1   3.2e-19   1.8e-15   56.8   0.0     1    82   313   394   313   403 0.93 Mur ligase family, glutamate ligase domain
-Mur_ligase           PF01225.23    88 84                   -            452   6.7e-10   39.0   0.0   1   1   5.6e-13     3e-09   36.9   0.0     4    53    26    80    23   105 0.79 Mur ligase family, catalytic domain
-Glycos_transf_4      PF00953.19   160 85                   -            360     9e-34  116.6  16.1   1   1   1.1e-37     9e-34  116.6  16.1     2   159    99   284    98   285 0.91 Glycosyl transferase family 4
-MraY_sig1            PF10555.7     13 85                   -            360   9.1e-06   24.8   3.3   1   1   1.1e-09   9.1e-06   24.8   3.3     1    13    68    80    68    80 0.97 Phospho-N-acetylmuramoyl-pentapeptide-transferase signature 1
-Mur_ligase_M         PF08245.10   192 86                   -            438     3e-29  102.3   0.1   1   1   5.9e-33   4.8e-29  101.6   0.1     1   192   110   280   110   280 0.84 Mur ligase middle domain
-Mur_ligase_C         PF02875.19    91 86                   -            438     3e-11   43.3   0.0   1   1   2.2e-14   1.8e-10   40.8   0.0     2    81   301   373   300   379 0.88 Mur ligase family, glutamate ligase domain
-FTSW_RODA_SPOVE      PF01098.17   359 87                   -            414  3.5e-131  437.4  23.8   1   1  2.5e-135  4.1e-131  437.1  23.8     2   358    47   402    46   403 0.99 Cell cycle protein
-Glyco_transf_28      PF03033.18   139 88                   -            355   2.7e-49  166.6   0.2   1   1   1.3e-52   5.4e-49  165.7   0.2     2   138     9   145     8   146 0.99 Glycosyltransferase family 28 N-terminal domain
-Glyco_tran_28_C      PF04101.14   167 88                   -            355   4.2e-37  127.5   0.1   1   1   1.5e-40     6e-37  127.0   0.1     2   166   185   344   184   346 0.91 Glycosyltransferase family 28 C-terminal domain
-Glyco_transf_4       PF13439.4    170 88                   -            355   2.1e-08   34.2   0.1   1   1   2.3e-11   9.6e-08   32.1   0.1    10   107    24   129    15   166 0.77 Glycosyltransferase Family 4
-Mur_ligase           PF01225.23    88 89                   -            491   3.9e-30  103.9   0.3   1   1   1.7e-33     9e-30  102.7   0.3     1    86    21   118    21   120 0.98 Mur ligase family, catalytic domain
-Mur_ligase_M         PF08245.10   192 89                   -            491   3.9e-28   98.6   0.0   1   1     1e-31   5.7e-28   98.1   0.0     1   192   124   304   124   304 0.91 Mur ligase middle domain
-Mur_ligase_C         PF02875.19    91 89                   -            491   5.1e-20   71.4   0.0   1   1   3.1e-23   1.7e-19   69.7   0.0     4    89   327   418   324   420 0.85 Mur ligase family, glutamate ligase domain
-Dala_Dala_lig_C      PF07478.11   204 90                   -            306   2.4e-72  242.6   0.0   1   1   7.3e-76     3e-72  242.3   0.0     1   204   103   303   103   303 0.99 D-ala D-ala ligase C-terminus
-Dala_Dala_lig_N      PF01820.19    80 90                   -            306   3.3e-21   75.1   0.1   1   1   1.5e-24   6.2e-21   74.2   0.1     1    80     4    86     4    86 0.86 D-ala D-ala ligase N-terminus
-CPSase_L_D2          PF02786.15   211 90                   -            306   1.2e-07   31.3   0.0   1   1   1.6e-10   6.5e-07   28.9   0.0    27   179   127   274    96   301 0.82 Carbamoyl-phosphate synthase L chain, ATP binding domain
-FtsQ                 PF03799.13   114 91                   -            276     1e-27   97.1   0.1   1   1     2e-31   1.6e-27   96.4   0.1     1   114   130   247   130   247 0.88 Cell division protein FtsQ
-POTRA_1              PF08478.8     69 91                   -            276   6.4e-20   71.1   0.1   1   1   1.7e-23   1.4e-19   70.0   0.1     2    69    56   126    55   126 0.97 POTRA domain, FtsQ-type
-FtsA                 PF14450.4    103 92                   -            420     4e-34  117.0   1.3   1   1   2.3e-28   9.3e-25   86.9   0.0     1   103   207   381   207   381 0.90 Cell division protein FtsA
-SHS2_FTSA            PF02491.18    79 92                   -            420   2.3e-30  104.7   2.2   1   1   1.2e-33   4.8e-30  103.7   2.2     1    79    85   162    85   162 0.99 SHS2 domain inserted in FTSA
-PilM_2               PF11104.6    340 92                   -            420   2.7e-10   39.7   0.4   1   1   1.6e-10   6.4e-07   28.6   0.1   107   237   133   261    12   265 0.74 Type IV pilus assembly protein PilM;
-MreB_Mbl             PF06723.11   327 92                   -            420   5.6e-10   38.4   0.2   1   1   1.4e-13   5.6e-10   38.4   0.2   144   304   203   359   162   370 0.77 MreB/Mbl protein
-Tubulin              PF00091.23   197 93                   -            383     3e-42  144.9   0.6   1   1   5.3e-46   4.3e-42  144.4   0.6     2   196    13   172    12   173 0.98 Tubulin/FtsZ family, GTPase domain
-FtsZ_C               PF12327.6     95 93                   -            383   7.8e-38  128.6   1.2   1   1   2.9e-41   2.3e-37  127.0   1.2     1    94   221   315   221   316 0.99 FtsZ family, C-terminal domain
-LpxC                 PF03331.11   270 94                   -            305  7.1e-109  363.3   0.0   1   1    5e-113  8.2e-109  363.1   0.0     1   269     4   276     4   277 0.98 UDP-3-O-acyl N-acetylglycosamine deacetylase
-SecM                 PF06558.10   146 95                   -            195   1.1e-53  181.1   1.2   1   1     8e-58   1.3e-53  180.9   1.2     1   145    49   192    49   193 0.97 Secretion monitor precursor protein (SecM)
-SecA_DEAD            PF07517.12   290 96                   -            901  4.9e-132  439.4   0.3   1   1  2.2e-135  9.1e-132  438.6   0.3     2   290     7   402     6   402 0.97 SecA DEAD-like domain
-SecA_SW              PF07516.11   199 96                   -            901   7.4e-69  231.7   5.3   1   1   1.8e-72   7.4e-69  231.7   5.3     1   199   617   830   617   830 0.97 SecA Wing and Scaffold domain
-SecA_PP_bind         PF01043.18   111 96                   -            901   6.6e-40  136.1   0.2   1   1   4.1e-43   1.7e-39  134.8   0.2     2   111   232   358   231   358 0.93 SecA preprotein cross-linking domain
-SEC-C                PF02810.13    19 96                   -            901   5.8e-11   42.0   9.7   1   1   2.3e-14   9.5e-11   41.3   9.7     1    19   881   899   881   899 0.98 SEC-C motif
-NUDIX                PF00293.26   131 97                   -            129     3e-21   75.7   0.8   1   1   4.5e-25   3.7e-21   75.4   0.8     3   130     5   125     3   126 0.80 NUDIX domain
-NUDIX_4              PF14815.4    110 97                   -            129     1e-13   51.0   0.1   1   1   1.4e-17   1.2e-13   50.9   0.1     1   109     7   124     7   125 0.84 NUDIX domain
-DUF329               PF03884.12    52 98                   -             65   4.7e-25   86.9   2.1   1   1   3.4e-29   5.5e-25   86.7   2.1     1    49     7    55     7    62 0.92 Domain of unknown function (DUF329)
-DUF1342              PF07072.9    210 99                   -            247   1.4e-78  263.4   0.4   1   1   9.5e-83   1.6e-78  263.2   0.4     1   210    19   225    19   225 1.00 Protein of unknown function (DUF1342)
-CoaE                 PF01121.18   179 100                  -            206   1.1e-77  259.6   0.3   1   1   1.8e-81   1.4e-77  259.2   0.3     1   175     3   177     3   180 0.99 Dephospho-CoA kinase
-IMPDH                PF00478.23   345 101                  -            347   4.3e-78  262.6   0.5   1   1   3.3e-82   5.4e-78  262.3   0.5     2   336     9   338     8   342 0.91 IMP dehydrogenase / GMP reductase domain
-T2SSF                PF00482.21   125 102                  -            400     5e-56  187.9   2.0   1   2   2.5e-33   4.1e-29  100.9   0.3     2   125    64   186    63   186 0.98 Type II secretion system (T2SS), protein F
-T2SSF                PF00482.21   125 102                  -            400     5e-56  187.9   2.0   2   2   6.7e-29   1.1e-24   86.6   0.1     4   125   269   388   266   388 0.98 Type II secretion system (T2SS), protein F
-T2SSE                PF00437.18   273 103                  -            461   7.9e-88  293.9   0.7   1   1   1.3e-91   1.1e-87  293.5   0.7     4   272    89   353    86   354 0.98 Type II/IV secretion system protein
-T2SSE_N              PF05157.13   109 103                  -            461   1.2e-05   25.4   0.0   1   1   4.4e-09   3.6e-05   23.9   0.0    43   104     8    68     6    73 0.92 Type II secretion system (T2SS), protein E, N-terminal domain
-N_methyl             PF07963.10    27 104                  -            146   7.2e-11   41.0   1.5   1   1   8.3e-15   1.3e-10   40.2   1.5     1    25     1    25     1    27 0.93 Prokaryotic N-terminal methylation motif
-QRPTase_C            PF01729.17   169 105                  -            297   3.1e-63  212.4   0.1   1   1     5e-67   4.1e-63  212.0   0.1     1   169   131   295   131   295 0.99 Quinolinate phosphoribosyl transferase, C-terminal domain
-QRPTase_N            PF02749.14    88 105                  -            297   1.2e-24   86.0   0.0   1   1     6e-28   4.9e-24   84.0   0.0     4    88    43   129    41   129 0.98 Quinolinate phosphoribosyl transferase, N-terminal domain
-Amidase_2            PF01510.23   121 106                  -            183   1.6e-25   89.8   0.0   1   1   1.2e-29   1.9e-25   89.5   0.0    19   121    53   167    24   167 0.79 N-acetylmuramoyl-L-alanine amidase
-AmpE                 PF17113.3    284 107                  -            284  7.6e-159  527.4  12.2   1   1  5.2e-163  8.5e-159  527.2  12.2     1   284     1   284     1   284 1.00 Regulatory signalling modulator protein AmpE
-AA_permease          PF00324.19   479 108                  -            456  9.7e-132  439.8  46.6   1   1  1.3e-135  1.1e-131  439.7  46.6     1   476    18   453    18   456 0.99 Amino acid permease
-AA_permease_2        PF13520.4    425 108                  -            456   7.1e-44  150.2  50.1   1   1   1.1e-47   8.9e-44  149.8  50.1     8   416    21   430    17   443 0.88 Amino acid permease
-GntR                 PF00392.19    64 109                  -            254   6.4e-26   89.6   0.4   1   1   1.8e-29   1.5e-25   88.5   0.4     2    64    12    74    11    74 0.97 Bacterial regulatory proteins, gntR family
-FCD                  PF07729.10   125 109                  -            254   1.3e-17   64.3  11.1   1   1   2.9e-21   2.4e-17   63.4  11.1     1   124    99   226    99   227 0.91 FCD domain
-Transketolase_N      PF00456.19   334 110                  -            887   3.6e-16   58.9   0.0   1   1   7.1e-14   1.2e-09   37.5   0.0    23   216   106   296    79   305 0.73 Transketolase, thiamine diphosphate binding domain
-2-oxoacid_dh         PF00198.21   233 111                  -            630   1.7e-79  266.4   0.0   1   1   1.2e-82   2.4e-79  265.9   0.0     3   232   399   629   397   630 0.98 2-oxoacid dehydrogenases acyltransferase (catalytic domain)
-Biotin_lipoyl        PF00364.20    73 111                  -            630   5.7e-67  221.4  35.3   1   3   8.6e-25   1.8e-21   75.6   6.6     2    72     4    73     3    74 0.97 Biotin-requiring enzyme
-Biotin_lipoyl        PF00364.20    73 111                  -            630   5.7e-67  221.4  35.3   2   3   3.1e-26   6.2e-23   80.3   5.6     2    72   107   176   106   177 0.97 Biotin-requiring enzyme
-Biotin_lipoyl        PF00364.20    73 111                  -            630   5.7e-67  221.4  35.3   3   3     2e-25   4.1e-22   77.6   7.1     1    72   207   277   207   278 0.97 Biotin-requiring enzyme
-E3_binding           PF02817.15    36 111                  -            630   6.4e-16   58.3   0.1   1   1     1e-18   2.1e-15   56.6   0.1     1    36   327   362   327   362 0.98 e3 binding domain
-Pyr_redox_2          PF07992.12   292 112                  -            474   2.7e-63  213.8   4.1   1   1   2.1e-66   3.7e-63  213.3   4.1     2   292     8   328     7   328 0.91 Pyridine nucleotide-disulphide oxidoreductase
-Pyr_redox_dim        PF02852.20   110 112                  -            474   1.6e-35  121.5   0.0   1   1   2.3e-38   4.1e-35  120.2   0.0     1   109   347   455   347   456 0.98 Pyridine nucleotide-disulphide oxidoreductase, dimerisation domain
-Pyr_redox            PF00070.25    81 112                  -            474   2.8e-18   66.1   4.6   1   1   9.3e-19   1.7e-15   57.2   0.8     1    78   177   252   177   256 0.94 Pyridine nucleotide-disulphide oxidoreductase
-FAD_oxidored         PF12831.5    433 112                  -            474     2e-08   33.9   0.3   1   1   2.1e-11   3.8e-08   33.0   0.3     1    38     8    45     8    65 0.92 FAD dependent oxidoreductase
-GIDA                 PF01134.20   392 112                  -            474   2.1e-08   33.6   1.1   1   1   8.1e-11   1.5e-07   30.8   0.6     1    60     8    70     8    83 0.91 Glucose inhibited division protein A
-FAD_binding_2        PF00890.22   417 112                  -            474   7.7e-06   25.1   0.8   1   1   4.2e-08   7.6e-05   21.8   0.2     2    35     9    42     8    47 0.91 FAD binding domain
-DUF3300              PF11737.6    227 113                  -            617   6.4e-82  274.4   6.4   1   1   3.9e-86   6.4e-82  274.4   6.4     2   205    75   344    74   367 0.89 Protein of unknown function (DUF3300)
-Aconitase_2_N        PF06434.11   204 114                  -            865   2.8e-98  327.5   0.0   1   1  7.4e-102     4e-98  326.9   0.0     1   204   168   382   168   382 0.99 Aconitate hydratase 2 N-terminus
-Aconitase_B_N        PF11791.6    153 114                  -            865     5e-69  231.1   0.1   1   1   1.8e-72   9.8e-69  230.2   0.1     1   153     4   156     4   156 1.00 Aconitate B N-terminal domain
-Aconitase            PF00330.18   462 114                  -            865   1.7e-41  142.5   0.0   1   1   1.1e-43   6.1e-40  137.4   0.0   102   462   472   818   409   818 0.85 Aconitase family (aconitate hydratase)
-UPF0231              PF06062.9    121 115                  -            120   7.7e-43  145.5   2.1   1   1   5.3e-47   8.6e-43  145.3   2.1     1   121     1   117     1   117 0.98 Uncharacterised protein family (UPF0231)
-AdoMet_dc            PF02675.13   106 116                  -            264     8e-31  106.3   0.0   1   1   1.4e-34   2.4e-30  104.8   0.0     5   106    33   169    32   169 0.99 S-adenosylmethionine decarboxylase
-Spermine_synth       PF01564.15   247 117                  -            288   1.3e-88  296.0   0.1   1   1   2.3e-92   1.8e-88  295.5   0.1     2   239     7   239     4   246 0.97 Spermine/spermidine synthase
-T2SS_PulS_OutS       PF09691.8    107 118                  -            115   1.4e-08   34.7   0.0   1   1     1e-12   1.7e-08   34.4   0.0    18   101    24   106    15   112 0.85 Type II secretion system pilotin lipoprotein (PulS_OutS)
-#
-# Program:         hmmscan
-# Version:         3.1b1 (May 2013)
-# Pipeline mode:   SCAN
-# Query file:      aa_sequences_01.fa
-# Target file:     /workspace/meren/PFAM/Pfam-A.hmm
-# Option settings: hmmscan -o /dev/null --domtblout aa_sequences_01.pfam --cut_ga --cpu 20 /workspace/meren/PFAM/Pfam-A.hmm aa_sequences_01.fa 
-# Current dir:     /users/meren
-# Date:            Wed Oct 12 10:50:41 2016
-# [ok]
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_02.fa b/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_02.fa
deleted file mode 100644
index 6688cd44b4..0000000000
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_02.fa
+++ /dev/null
@@ -1,238 +0,0 @@
->0
-MRVLKFGGTSVANAERFLRVADILESNARQGQVATVLSAPAKITNHLVAMIEKTISGQDALPNISDAERIFAELLTGLAAAQPGFPLAQLKTFVDQEFAQIKHVLHGISLLGQCPDSINAALICRGEKMSIAIMAGVLEARGHNVTVIDPVEKLLAVGHYLESTVDIAESTRRIAASRIPADHMVLMAGFTAGNEKGELVVLGRNGSDYSAAVLAACLRADCCEIWTDVDGVYTCDPRQVPDARLLKSMSYQEAMELSYFGAKVLHPRTITPIAQFQIPCLIKNTGNPQAPGTLIGASRDEDELPVKGISNLNNMAMFSVSGPGMKGMVGMAARVFAAMSRARISVVLITQSSSEYSISFCVPQSDCVRAERAMQEEFYLELKEGLLEPLAVTERLAIISVVGDGMRTLRGISAKFFAALARANINIVAIAQGSSERSISVVVNNDDATTGVRVTHQMLFNTDQVIEVFVIGVGGVGGALLEQLKRQQSWLKNKHIDLRVCGVANSKALLTNVHGLNLENWQEELAQAKEPFNLGRLIRLVKEYHLLNPVIVDCTSSQAVADQYADFLREGFHVVTPNKKANTSSMDYYHLLRHAAEKSRRKFLYDTNVGAGLPVIENLQNLLNAGDELMKFSGILSGSLSYIFGKLDEGMSFSEATTLAREMGYTEPDPRDDLSGMDVARKLLILARETGRELELADIEIEPVLPAEFNAEGDVAAFMANLSQLDDLFAARVAKARDEGKVLRYVGNIDEDGACRVKIAEVDGNDPLFKVKNGENALAFYSHYYQPLPLVLRGYGAGNDVTAAGVFADLLRTLSWKLGV
->1
-MVKVYAPASSANMSVGFDVLGAAVTPVDGALLGDVVTVEAAETFSLNNLGRFADKLPSEPRENIVYQCWERFCQELGKQIPVAMTLEKNMPIGSGLGSSACSVVAALMAMNEHCGKPLNDTRLLALMGELEGRISGSIHYDNVAPCFLGGMQLMIEENDIISQQVPGFDEWLWVLAYPGIKVSTAEARAILPAQYRRQDCIAHGRHLAGFIHACYSRQPELAAKLMKDVIAEPYRERLLPGFRQARQAVAEIGAVASGISGSGPTLFALCDKPDTAQRVADWLGKNYLQNQEGFVHICRLDTAGARVLEN
->2
-MKLYNLKDHNEQVSFAQAVTQGLGKNQGLFFPHDLPEFSLTEIDEMLKLDFVTRSAKILSAFIGDEIPQEILEERVRAAFAFPAPVANVESDVGCLELFHGPTLAFKDFGGRFMAQMLTHIAGDKPVTILTATSGDTGAAVAHAFYGLPNVKVVILYPRGKISPLQEKLFCTLGGNIETVAIDGDFDACQALVKQAFDDEELKVALGLNSANSINISRLLAQICYYFEAVAQLPQEARNQLVVSVPSGNFGDLTAGLLAKSLGLPVKRFIAATNVNDTVPRFLHDGQWSPKATQATLSNAMDVSQPNNWPRVEELFRRKIWQLKELGYAAVDDETTQQTMRELKELGYTSEPHAAVAYRALRDQLNPGEYGLFLGTAHPAKFKESVEAILGETLDLPKELAERADLPLLSHNLPADFAALRKLMMNHQ
->3
-MKKMQSIVLALSLVLVAPMAAQAAEITLVPSVKLQIGDRDNRGYYWDGGHWRDHGWWKQHYEWRGNRWHPHGPPPPPRHHKKAPHDHHGGHGPGKHHR
->4
-MLILISPAKTLDYQSPLTTTRYTLPELLDNSQQLIHEARKLTPPQISTLMRISDKLAGINAARFHDWQPDFTPENARQAILAFKGDVYTGLQAETFSEDDFDFAQQHLRMLSGLYGVLRPLDLMQPYRLEMGIRLENARGKDLYQFWGDIITNKLNEALAAQGDNVVINLASDEYFKSVKPKKLNAEIIKPVFLDEKNGKFKIISFYAKKARGLMSRFIIENRLTKPEQLTGFNSEGYFFDEASSSNGELVFKRYEQR
->5
-MPDFFSFINSVLWGSVMIYLLFGAGCWFTFRTGFVQFRYIRQFGKSLKNSIHPQPGGLTSFQSLCTSLAARVGSGNLAGVALAITAGGPGAVFWMWVAAFIGMATSFAECSLAQLYKERDANGQFRGGPAWYMARGLGMRWMGVLFAVFLLIAYGIIFSGIQANAVARALSFSFDFPPLVTGIILAVFALLAITRGLHGVARLMQGFVPLMAIIWVLTSLVICVMNIGQLPHVIWSIFESAFGWQEAAGGAAGYTLSQAITNGFQRSMFSNEAGMGSTPNAAAAAASWPPHPAAQGIVQMIGIFIDTLVICTASAMLILLAGNGTTYMPLEGIQLIQKAMRVLMGSWGAEFVTLVVILFAFSSIVANYIYAENNLFFLRLNNPKAIWCLRICTFATVIGGTLLSLPLMWQLADIIMACMAITNLTAILLLSPVVHTIASDYLRQRKLGVRPVFDPLRYPDIGRQLSPDAWDDVSQE
->6
-MTDKLTSLRQYTTVVADTGDIAAMKLYQPQDATTNPSLILNAAQIPEYRKLIDDAVAWAKQQSNDRAQQIVDATDKLAVNIGLEILKLVPGRISTEVDARLSYDTEASIAKAKRLIKLYNDAGISNDRILIKLASTWQGIRAAEQLEKEGINCNLTLLFSFAQARACAEAGVFLISPFVGRILDWYKANTDKKEYAPAEDPGVVSVSEIYQYYKEHGYETVVMGASFRNIGEILELAGCDRLTIAPTLLKELAESEGAIERKLSYTGEVKARPARITESEFLWQHNQDPMAVDKLAEGIRKFAIDQEKLEKMIGDLL
->7
-MNTLRIGLVSISDRASSGVYQDKGIPALEEWLTSALTTPFELETRLIPDEQAIIEQTLCELVDEMSCHLVLTTGGTGPARRDVTPDATLAVADREMPGFGEQMRQISLHFVPTAILSRQVGVIRKQALILNLPGQPKSIKETLEGVKDAAGNVVVHGIFASVPYCIQLLEGPYVETAPEVVAAFRPKSARRDVSE
->8
-MGNTKLANPAPLGLMGFGMTTILLNLHNVGYFALDGIILAMGIFYGGIAQIFAGLLEYKKGNTFGLTAFTSYGSFWLTLVAILLMPKLGLTDAPNAQFLGVYLGLWGVFTLFMFFGTLKGARVLQFVFFSLTVLFALLAIGNIAGNAAIIHFAGWIGLICGASAIYLAMGEVLNEQFGRTVLPIGESH
->9
-MNVNYLNDSDLDFLQHCSEEQLANFARLLTHNEKGKTRLSSVLIRNELFKSMEGHPEQHRRNWQLIAGELQHFGGDSIANKLRGHGKLYRAILLDVSKRLKLKADKEMSTFEIEQQLLEQFLRNTWKNMDEEHKQEFLHAVDARVNELEELLPLLMKDKLLAKGVSHLLSSQLTRILRTHAAMSVLGHGLLRGAGLGGPVGAALNGVKAVSGSAYRVTIPAVLQIACLRRMVSATQV
->10
-MKSVFTISASLAISLMLCCTAQANDHKLLGVIAMPRNETNDLALKLPVCRIVKRIQLSADHGDLQLSGASVYFKAARSASQSLNIPSEIKEGQTTDWININSDNDNKRCVSKITFSGHTVNSSDMATLKIIGDD
->11
-MGKIIGIDLGTTNSCVAIMDGTTPRVLENAEGDRTTPSIIAYTQDGETLVGQPAKRQAVTNPQNTLFAIKRLIGRRFQDEEVQRDVSIMPFKIIAADNGDAWVEVKGQKMAPPQISAEVLKKMKKTAEDYLGEPVTEAVITVPAYFNDAQRQATKDAGRIAGLEVKRIINEPTAAALAYGLDKGTGNRTIAVYDLGGGTFDISIIEIDEVDGEKTFEVLATNGDTHLGGEDFDSRLINYLVEEFKKDQGIDLRNDPLAMQRLKEAAEKAKIELSSAQQTDVNLPYITADATGPKHMNIKVTRAKLESLVEDLVNRSIEPLKVALQDAGLSVSDIDDVILVGGQTRMPMVQKKVAEFFGKEPRKDVNPDEAVAIGAAVQGGVLTGDVKDVLLLDVTPLSLGIETMGGVMTTLIAKNTTIPTKHSQVFSTAEDNQSAVTIHVLQGERKRAADNKSLGQFNLDGINPAPRGMPQIEVTFDIDADGILHVSAKDKNSGKEQKITIKASSGLNEDEIQKMVRDAEANAEADRKFEELVQTRNQGDHLLHSTRKQVEEAGDKLPADDKTAIESALTALETALKGEDKAAIEAKMQELAQVSQKLMEIAQQQHAQQQTAGADASANNAKDDDVVDAEFEEVKDKK
->12
-MAKQDYYEILGVSKTAEEHEIKKAYKRLAMKYHPDRNQGDKEAEAKFKEIKEAYEVLTDSQKRAAYDQYGHAAFEQGGMGGGGFGGGADFSDIFGDVFGDIFGGGRGRQRAARGADLRYNMELTLEEAVRGVTKEIRIPTLEECDVCHGSGAKPGTQPQTCPTCHGSGQVQMRQGFFAVQQTCPHCQGRGTLIKDPCNKCHGHGRVERSKTLSVKIPAGVDTGDRIRLAGEGEAGEHGAPAGDLYVQVQVKQHPIFEREGNNLYCEVPINFAMAALGGEIEVPTLDGRVKLKVPGETQTGKLFRMRGKGVKSVRGGAQGDLLCRVVVETPVGLNEKQKQLLQELQESFGGPTGEHNSPRSKSFFDGVKKFFDDLTR
->13
-MNYSHDNWSAILAHIGKPEELDTSARNAGALTRRREIRDAATLLRLGLAYGPGGMSLREVTAWAQLHDVATLSDVALLKRLRNAADWFGILAAQTLAVRAAVTGCTSGKRLRLVDGTAISAPGGGSAEWRLHMGYDPHTCQFTDFELTDSRDAERLDRFAQTADEIRIADRGFGSRPECIRSLAFGEADYIVRVHWRGLRWLTAEGMRFDMMGFLRGLDCGKNGETTVMIGNSGNKKAGAPFPARLIAVSLPPEKALISKTRLLSENRRKGRVVQAETLEAAGHVLLLTSLPEDEYSAEQVADCYRLRWQIELAFKRLKSLLHLDALRAKEPELAKAWIFANLLAAFLIDDIIQPSLDFPPRSAGSEKKN
->14
-MVIWSLQVAIRGTVSLTAYKTQLKNARHRLNEAPRRRILQMVQPLS
->15
-MLNTCRVPLTDRKVKEKRAMKQHKAMIVALIVICITAVVAALVTRKDLCEVHIRTGQTEVAVFTAYESE
->16
-MKHLHRFFSSDASGGIILIIAAILAMIMANSGATSGWYHDFLETPVQLRVGSLEINKNMLLWINDALMAVFFLLVGLEVKRELMQGSLASLRQAAFPVIAAIGGMIVPALLYLAFNYADPITREGWAIPAATDIAFALGVLALLGSRVPLALKIFLMALAIIDDLGAIIIIALFYTNDLSMASLGVAAVAIAVLAVLNLCGVRRTGVYILVGVVLWTAVLKSGVHATLAGVIVGFFIPLKEKHGRSPAKRLEHVLHPWVAYLILPLFAFANAGVSLQGVTLDGLTSILPLGIIAGLLIGKPLGISLFCWLALRLKLAHLPEGTTYQQIMAVGILCGIGFTMSIFIASLAFGSVDPELINWAKLGILVGSISSAVIGYSWLRVRLRPSV
->17
-MSHINYNHLYYFWHVYKEGSVVGAAEALYLTPQTITGQIRALEERLQGKLFKRKGRGLEPSELGELVYRYADKMFTLSQEMLDIVNYRKESNLLFDVGVADALSKRLVSSVLNAAVVEGEPIHLRCFESTHEMLLEQLSQHKLDMIISDCPIDSTQQEGLFSVRIGECGVSFWCTNPPPEKPFPACLEERRLLIPGRRSMLGRKLLNWFNSQGLNVEILGEFDDAALMKAFGAMHNAIFVAPTLYAYDFYADKTVVEIGRVENVMEEYHAIFAERMIQHPAVQRICNTDYSALFSPAAR
->18
-MKWLLLITLSLYSFIVQSAPCALTNVGEQRGTYILKPLSMKGNLTAEKIENTGNIIECTDLQETTNAIKVHFLTQNALKFKVGSRHYIINFPFEYDGKKIELPGKSSYNLEEMLSAINFTIPYSIASVSDSSNTADIFPGTPFPLLFEIEVSSCTGNNTNCNSVRFNYNLNTILQVNLMTCGFEDQSIDTGRFVLSRINNENYQFHHIRFDCIQGEQGELVFEPSDVEYYFEPVTIQESGTSILKNELENSEDGAGQVGFQLSNDGTNEIQYGKSNYYSFQHPHEGSNQIPLFIRPRTYGNNVSSGQIMSRVKIVVMYN
->19
-MAAWRYASQDYRTFSDHLYENDKHYHQSDYNDFYDIGRKNSLSANIMQPLSNNLGNVSLSALWRNYWGRSGNAKDYQFSYSNNWQHISYTFSASQSYDENNKEEERFNLFISIPFYWGDDIAKTRHQINLSNSTSFSKDGYSSNNTGITGIAGEHDQLNYGIYVNQQQQNNDTSLGTNLSWRTPIAIIDGSYSHSKNAWQSGGSISSGLVVWSGGINITNQLSDTFAILDAPGLEGAHINGQKYNRTNSKGQVVYDPIIPHRENHLVLDIANSESETELQGNRQIIAPYRGAVSYVQFTTDQRKPWYIQALRPDGSPLTFGYDVLDLQENNIGVVGQGSRLFIRVDEIPTGIKVALNDEQNLFCTITFQHVIDENKTYICQ
->20
-MATNKFDVVFSYCGDNIKEFILLLPYNKSLEMYELNDQKIQYLTAPNINIHKMSLSNITIEKSNLSYGYYFSCVLSNISCFESDLSNTIFSNGEINNLFIKKSNIFGASFTNTRIKNLLCEDIMPGRWTTQLVNKHLGYRYTGVFKTLASIDDKPSRFEILIPLVQTLVRDNVKLNNDVYKELKKFMHDYDKTSPEMRKYLQSINESMFLMKNIAHQN
->21
-MASVSISCPSCSATDGVVRNGKSTAGHQRYLCSHCRKTWQLQFTYTASQPGTHQKIIDMAMNGVGCRATARIMGVGLNTILRHLKNSGRSR
->22
-MDEQWGYVGAKSRQRWLFYAYDRLRKTVVAHVFGERTMATLGRLMSLLSPFDVVIWMTDGWPLYESRLKGKLHVISKRYTQRIERHNLNLRQHLARLGRKSLSFSKSVELHDKVIGHYLNIKHYQ
->23
-MTDGISTSPHCLYKSNIVDDVIINKTRQNELVKVFCEYKTEFLILFDDFFRSQDFPKPSPVLHHFFQYTHLRDAHFYRCKLIEHTVQFYFLNTKASHYLDWMFLMTEQANVFLKRW
->24
-MANIKSAKKRAIQSEKARKHNASRRSMMRTFIKKVYAAIEAGDKAAAQKAFNEMQPIVDRQAAKGLIHKNKAARHKANLTAQINKLA
->25
-MKLIRGIHNLSQAPQEGCVLTIGNFDGVHRGHRALLQGLQEEGRKRNLPVMVMLFEPQPLELFATDKAPARLTRLREKLRYLAECGVDYVLCVRFDRRFAALTAQNFISDLLVKLLRVKFLAVGDDFRFGAGREGDFLLLQKAGMEYGFDITSTQTFCEGGVRISSTAVRQALADDNLALAESLLGHPFAISGRVVHGDELGRTIGFPTANVPLRRQVSPVKGVYAVEVLGLGEKPLPGVANIGTRPTVAGIRQQLEVHLLDVAMDLYGRHIQVVLRKKIRNEQRFASLDELKAQIARDELTAREFFGLTKPA
->26
-MSDYKSTLNLPETGFPMRGDLAKREPGMLARWTDDDLYGIIRAAKKGKKTFILHDGPPYANGSIHIGHSVNKILKDIIVKSKGLSGYDSPYVPGWDCHGLPIELKVEQEYGKPGEKFTAAEFRAKCREYAATQVDGQRKDFIRLGVLGDWSHPYLTMDFKTEANIIRALGKIIGNGHLHKGAKPVHWCVDCRSALAEAEVEYYDKTSPSIDVAFQAVDQDALKAKFAVSNVNGPISLVIWTTTPWTLPANRAISIAPDFDYALVQIDGQAVILAKDLVESVMQRIGVTDYTILSTVKGAELELLRFTHPFMGFDVPAILGDHVTLDAGTGAVHTAPGHGPDDYVIGQKYGLETANPVGPDGTYLPGTYPTLDGVNVFKANDIVVALLQEKGALLHVEKMQHSYPCCWRHKTPIIFRATPQWFVSMDQKGLRAQSLKEIKGVQWIPDWGQARIESMVANRPDWCISRQRTWGVPMSLFVHKDTEELHPRTLELMEEVAKRVEVNGIQAWWDLDAKEILGDEADQYVKVPDTLDVWFDSGSTHSSVVDVRPEFAGHAADMYLEGSDQHRGWFMSSLMISTAMKGKAPYRQVLTHGFTVDGQGRKMSKSIGNTVSPQDVMNKLGADILRLWVASTDYTGEMAVSDEILKRAADSYRRIRNTARFLLANLNGFDPAKDMVKPEEMVVLDRWAVGCAKAAQEDILKAYEAYDFHEVVQRLMRFCSVEMGSFYLDIIKDRQYTAKADSVARRSCQTALYHIAEALVRWMAPILSFTADEVWGYLPGEREKYVFTGEWYEGLFGLADSEAMNDAFWDELLKVRGEVNKVIEQARADKKVGGSLEAAVTLYAEPELAAKLTALGDELRFVLLTSGATVADYNDAPADAQQSEVLKGLKVALSKAEGEKCPRCWHYTQDVGKVAEHAEICGRCVSNVAGDGEKRKFA
->27
-MSQSICSTGLRWLWLVVVVLIIDLGSKYLILQNFALGDTVPLFPSLNLHYARNYGAAFSFLADSGGWQRWFFAGIAIGISVILAVMMYRSKATQKLNNIAYALIIGGALGNLFDRLWHGFVVDMIDFYVGGWHFATFNLADTAICVGAALIVLEGFLPSKAKKQ
->28
-MSESVQSNSAVLVHFTLKLDDGTTAESTRNNGKPALFRLGDASLSEGLEQHLLGLKVGDKTTFSLEPDAAFGVPSPDLIQYFSRREFMDAGEPEIGAIMLFTAMDGSEMPGVIREINGDSITVDFNHPLAGQTVHFDIEVLEIDPALEA
->29
-MQILLANPRGFCAGVDRAISIVENALAIYGAPIYVRHEVVHNRYVVDSLRERGAIFIEQISEVPDGAILIFSAHGVSQAVRNEAKSRDLTVFDATCPLVTKVHMEVARASRRGEESILIGHAGHPEVEGTMGQYSNPEGGMYLVESPDDVWKLTVKNEEKLSFMTQTTLSVDDTSDVIDALRKRFPKIVGPRKDDICYATTNRQEAVRALAEQAEVVLVVGSKNSSNSNRLAELAQRMGKRAFLIDDAKDIQEEWVKEVKCVGVTAGASAPDILVQNVVARLQQLGGGEAIPLEGREENIVFEVPKELRVDIREVD
->30
-MRLPIFLDTDPGIDDAVAIAAAIFAPELDLQLMTTVAGNVSVEKTTRNALQLLHFWNAEIPLAQGAAVPLVRAPRDAASVHGKSGMAGYDFVEHNRKPLEVPAFLAIRDALMRAPEPVTLVAIGPLTNIALLLSQCPECKPHIRRLVIMGGSAGRGNCTPNAEFNIAADPEAAACVFRSGIEIVMCGLDVTNQAILTPDYLATLPELNRTGKMLHALFSHYRSGSMQSGLRMHDLCAIAWLVRPDLFTLKPCFVAVETQGEFTSGTTVVDIDGCLGKPANVQVALDLNVKGFQQWVADLLALVP
->31
-MHDANIRVAIAGAGGRMGRQLIQAALALEGVQLGAALEREGSSLLGSDAGELAGAGKTGVTVQSSLDAIKDDFDVFIDFTRPEGTLNHLAFCRQHGKGMVIGTTGFDEAGKQAIRDAAADIAIVFAANFSVGVNVMLKLLEKAAKVMGDYTDIEIIEAHHRHKVDAPSGTALAMGEAIAHALDKDLKDCAVYSREGHTGERVPGTIGFATVRAGDIVGEHTAMFADIGERLEITHKASSRMTFANGAVRSALWLSGKESGLFDMRDVLDLNSL
->32
-MIKSALLVLEDGTQFHGRAIGATGSAVGEVVFNTSMTGYQEILTDPSYSRQIVTLTYPHIGNVGTNDADEESSQVHAQGLVIRDLPLIASNFRNTEDLSSYLKRHNIVAIADIDTRKLTRLLREKGAQNGCIIAGDNPDAALALEKARAFPGLNGMDLAKEVTTAEAYSWTQGSWTLTGGLPEAKKEDELPFHVVAYDFGAKRNILRMLVDRGCRLTIVPAQTSAEDVLKMNPDGIFLSNGPGDPAPCDYAITAIQKFLETDIPVFGICLGHQLLALASGAKTVKMKFGHHGGNHPVKDVEKNVVMITAQNHGFAVDEATLPANLRVTHKSLFDGTLQGIHRTDKPAFSFQGHPEASPGPHDAAPLFDHFIELIEQYRKTAK
->33
-MPKRTDIKSILILGAGPIVIGQACEFDYSGAQACKALREEGYRVILVNSNPATIMTDPEMADATYIEPIHWEVVRKIIEKERPDAVLPTMGGQTALNCALELERQGVLEEFGVTMIGATADAIDKAEDRRRFDVAMKKIGLETARSGIAHTMEEALAVAADVGFPCIIRPSFTMGGSGGGIAYNREEFEEICARGLDLSPTKELLIDESLIGWKEYEMEVVRDKNDNCIIVCSIENFDAMGIHTGDSITVAPAQTLTDKEYQIMRNASMAVLREIGVETGGSNVQFAVNPKNGRLIVIEMNPRVSRSSALASKATGFPIAKVAAKLAVGYTLDELMNDITGGRTPASFEPSIDYVVTKIPRFNFEKFAGANDRLTTQMKSVGEVMAIGRTQQESLQKALRGLEVGATGFDPKVSLDDPEALTKIRRELKDAGAERIWYIADAFRAGLSVDGVFNLTNIDRWFLVQIEELVRLEEKVAEVGITGLNAEFLRQLKRKGFADARLAKLAGVREAEIRKLRDQYDLHPVYKRVDTCAAEFATDTAYMYSTYEEECEANPSTDREKIMVLGGGPNRIGQGIEFDYCCVHASLALREDGYETIMVNCNPETVSTDYDTSDRLYFEPVTLEDVLEIVRIEKPKGVIVQYGGQTPLKLARALEAAGVPVIGTSPDAIDRAEDRERFQHAVERLKLKQPANATVTAIEMAVEKAKEIGYPLVVRPSYVLGGRAMEIVYDEADLRRYFQTAVSVSNDAPVLLDHFLDDAVEVDVDAICDGEMVLIGGIMEHIEQAGVHSGDSACSLPAYTLSQEIQDVMRQQVQKLAFELQVRGLMNVQFAVKNNEVYLIEVNPRAARTVPFVSKATGVPLAKVAARVMAGKSLAEQGVTKEVIPPYYSVKEVVLPFNKFPGVDPLLGPEMRSTGEVMGVGRTFAEAFAKAQLGSNSTMKKHGRALLSVREGDKERVVDLAAKLLKQGFELDATHGTAIVLGEAGINPRLVNKVHEGRPHIQDRIKNGEYTYIINTTSGRRAIEDSRVIRRSALQYKVHYDTTLNGGFATAMALNADATEKVISVQEMHAQIK
->34
-MCEGYVEKPLYLLIAEWMMAENRWVIAREISIHFDIEHSKAVNTLTYILSEVTEISCEVKMIPNKLEGRGCQCQRLVKVVDIDEQIYARLRNNSREKLVGVRKTPRIPAVPLTELNREQKWQMMLSKSMRR
->35
-MSYYAFEGLIPVVHPTAFVHPSAVLIGDVIVGAGVYIGPLASLRGDYGRLIVQAGANIQDGCIMHGYCDTDTIVGENGHIGHGAILHGCVIGRDALVGMNSVIMDGAVIGEESIVAAMSFVKAGFSGEKRQLLMGTPARAVRSVSDDELHWKRLNTKEYQDLVGRYHASLHETQPLRQMEENRPRLQGTTDVTPKR
->36
-MSESLHLTRNGSILEITLDRPKANAIDAKTSFEMGEVFLNFRDDPQLRVAIITGAGEKFFSAGWDLKAAAEGEAPDADFGPGGFAGLTEIFNLDKPVIAAVNGYAFGGGFELALAADFIVCADNASFALPEAKLGIVPDSGGVLRLPKILPPAIVNEMVMTGRRMGAEEALRWGIVNRVVSQAELMDNARELAQQLVNSAPLAIAALKEIYRTTSEMPVEEAYRYIRSGVLKHYPSVLHSEDAIEGPLAFAEKRDPVWKGR
->37
-MDIIVGQHLRQMWDDLADVYGHKTALICESSGGVVNRYSYLELNQEINRTANLFYTLGIRKGDKVALHLDNCPEFIFCWFGLAKIGAIMVPINACLLREESAWILQNSQACLLVTSAQFYPMYQQIQQEDATQLRHICLTDVALPADDGVSSFTQLKNQQPATLCYAPPLSTDDTAEILFTSGTTSRPKGVVITHYNLRFAGYYSAWQCALRDDDVYLTVMPAFHIDCQCTAAMAAFSAGATFVLVEKYSARAFWGQVQKYRATVTECIPMMIRTLMVQPPSANDRQHRLREVMFYLNLSEQEKDAFCERFGVRLLTSYGMTETIVGIIGDRPGDKRRWPSIGRAGFCYEAEIRDDHNCPLPAGEIGEICIKGVPGKTIFKEYFLNPKATAKVLEADGWLHTGDTGYRDEEGFFYFVDRRCNMIKRGGENVSCVELENIIATHPKIQDIVVVGIKDSIRDEAIKAFVVLNEGETLSEEEFFRFCEQNMAKFKVPSYLEIRKDLPRNCSGKIIRKNLK
->38
-MPAFPYTADYFSGLTATTAALAALHKARETGKGESIDIAMYEVMLRMGQYFMMDYFNGGEMCPRMSKGKDPYYAGCGLYKCADGYIVMELVGITQIEECFKDIGLAHLLGTPEIPEGTQLIHRIECPYGPLVEEKLDAWLATHTIAEVKERFAELNIACAKVLTVPELESNPQYVARESITQWQTMDGRTCKGPNIMPKFKNNPGQIWRGMPSHGMDTAAILKNIGYSENDIQELVSKGLAKVED
->39
-MDHLPMPKFGPLAGLRVVFSGIEIAGPFAGQMFAEWGAEVIWIENVAWADTIRVQPNYPQLSRRNLHALSLNIFKDEGREAFLKLMETTDIFIEASKGPAFARRGITDEVLWQHNPKLVIAHLSGFGQYGTEEYTNLPA
->40
-MDFNLNDEQELFVAGIRELMASENWEAYFAECDRDSVYPERFVKALADMGIDSLLIPEEHGGLDAGFVTLAAVWMELGRLGAPTYVLYQLPGGFNTFLREGTQEQIDKIMAFRGTGKQMWNSAITEPGAGSDVGSLKTTYTRRNGKIYLNGSKCFITSSAYTPYIVVMARDGASPDKPVYTEWFVDMSKPGIKVTKLEKLGLRMDSCCEITFDDVELDEKDMFGREGNGFNRVKEEFDHERFLVALTNYGTAMCAFEDAARYANQRVQFGEAIGRFQLIQEKFAHMAIKLNSMKNMLYEAAWKADNGTITSGDAAMCKYFCANAAFEVVDSAMQVLGGVGIAGNHRISRFWRDLRVDRVSGGSDEMQILTLGRAVLKQYR
->41
-MKNEKRKTGIEPKVFFPPLIIVGILCWLTVRDLDAANVVINAVFSYVTNVWGWAFEWYMVVMLFGWFWLVFGPYAKKRLGNEPPEFSTASWIFMMFASCTSAAVLFWGSIEIYYYISTPPFGLEPNSTGAKELGLAYSLFHWGPLPWATYSFLSVAFAYFFFVRKMEVIRPSSTLVPLVGEKHVKGLFGTIVDNFYLVALIFAMGTSLGLATPLVTECMQWLFGIPHTLQLDAIIITCWIILNAICVACGLQKGVRIASDVRSYLSFLMLGWVFIVSGASFIMNYFTDSVGMLLMYLPRMLFYTDPIAKGGFPQGWTVFYWAWWVIYAIQMSIFLARISRGRTVRELCFGMVLGLTASTWILWTVLGSNTLLLMDKNIINIPNLIEQYGVARAIIETWAALPLSTATMWGFFILCFIATVTLVNACSYTLAMSTCREVRDGEEPPLLVRIGWSILVGIIGIVLLALGGLKPIQTAIIAGGCPLFFVNIMVTLSFIKDAKQNWKD
->42
-MKIITCYKCVPDEQDIAVNNADGSLDFSKADAKISQYDLNAIEAACQLKQQAAEAQVTALSVGGKALTNAKGRKDVLSRGPDELIVVIDDQFEQALPQQTASALAAAAQKAGFDLILCGDGSSDLYAQQVGLLVGEILNIPAVNGVSKIISLTADTLTVERELEDETETLSIPLPAVVAVSTDINSPQIPSMKAILGAAKKPVQVWSAADIGFNAEAAWSEQQVAAPKQRERQRIVIEGDGEEQIAAFAENLRKVI
->43
-MNTFSQVWVFSDTPSRLPELMNGAQALANQINTFVLNDADGAQAIQLGANHVWKLNGKPDDRMIEDYAGVMADTIRQHGADGLVLLPNTRRGKLLAAKLGYRLKAAVSNDASTVSVQDGKATVKHMVYGGLAIGEERIATPYAVLTISSGTFDAAQPDASRTGETHTVEWQAPAVAITRTATQARQSNSVDLDKARLVVSVGRGIGSKENIALAEQLCKAIGAELACSRPVAENEKWMEHERYVGISNLMLKPELYLAVGISGQIQHMVGANASQTIFAINKDKNAPIFQYADYGIVGDAVKILPALTAALAR
->44
-MSEDIFDAIIVGAGLAGSVAALVLAREGAQVLVIERGNSAGAKNVTGGRLYAHSLEHIIPGFADSAPVERLITHEKLAFMTEKSAMTMDYCNGDETSPSQRSYSVLRSKFDAWLMEQAEEAGAQLITGIRVDNLVQRDGKVVGVEADGDVIEAKTVILADGVNSILAEKLGMAKRVKPTDVAVGVKKLIELPKSVIEDRFQLQGNQGAACLFAGSPTDGLMGGGFLYTNENTLSLGLVCGLHHLHDAKKSVPQMLEDFKQHPAVASLIAGGKLVEYSAHVVPEAGINMLPELVGDGVLIAGDAAGMCMNLGFTIRGMDLAIAAGEAAAKTVLSAMKSDDFSKQKLAEYRQHLESGPLRDMRMYQKLPAFLDNPRMFSGYPELAVGVARDLFTIDGSAPELMRKKILRHGKKVGFINLIKDGMKGVTVL
->45
-MTSPVNVDVKLGVNKFNVDEEHPHIVVKADADKQALELLVKACPAGLYKKQDDGSVRFDYAGCLECGTCRILGLGSALEQWEYPRGTFGVEFRYG
->46
-MQPSRNFDDLKFSSIHRRILLWGSGGPFLDGYVLVMIGVALEQLTPALKLDADWIGLLGAGTLAGLFVGTSLFGYISDKVGRRKMFLIDIIAIGVISVATMFVSSPVELLVMRVLIGIVIGADYPIATSMITEFSSTRQRAFSISFIAAMWYVGATCADLVGYWLYDVEGGWRWMLGSAAIPCLLILIGRFELPESPRWLLRKGRVKECEEMMIKLFGEPVAFDEEQPQQTRFRDLFNRRHFPFVLFVAAIWTCQVIPMFAIYTFGPQIVGLLGLGVGKNAALGNVVISLFFMLGCIPPMLWLNTAGRRPLLIGSFAMMTLALAVLGLIPDMGIWLVVMAFAVYAFFSGGPGNLQWLYPNELFPTDIRASAVGVIMSLSRIGTIVSTWALPIFINNYGISNTMLMGAGISLFGLLISVAFAPETRGMSLAQTSNMTIRGQRMG
->47
-MILIIYAHPYPHHSHANKRMLEQARTLEGVEIRSLYQLYPDFNIDIAAEQEALSRADLIVWQHPMQWYSIPPLLKLWIDKVFSHGWAYGHGGTALHGKHLLWAVTTGGGESHFEIGAHPGFDVLSQPLQATAIYCGLNWLPPFAMHCTFICDDETLEGQARHYKQRLLEWQEAHHG
->48
-MDSHTLIQALIYLGSAALIVPIAVRLGLGSVLGYLIAGCIIGPWGLRLVTDAESILHFAEIGVVLMLFIIGLELDPQRLWKLRAAVFGGGALQMVICGGLLGLFCMLLGLRWQVAELIGMTLALSSTAIAMQAMNERNLMVTQMGRSAFAVLLFQDIAAIPLVAMIPLLATSSASTTMGAFALSALKVAGALVLVVLLGRYVTRPALRFVARSGLREVFSAVALFLVFGFGLLLEEVGLSMAMGAFLAGVLLASSEYRHALESDIEPFKGLLLGLFFIGVGMSIDFGTLLENPLRIVILLLGFLIIKIAMLWLIARPLQVPNKQRRWFAVLLGQGSEFAFVVFGAAQMANVLEPEWAKSLTLAVALSMAATPILLVILNRLEQSSTEEAREADEIDEEQPRVIIAGFGRFGQITGRLLLSSGVKMVVLDHDPDHIETLRKFGMKVFYGDATRMDLLESAGAAKAEVLINAIDDPQTNLQLTEMVKEHFPHLQIIARARDVDHYIRLRQAGVEKPERETFEGALKTGRLALESLGLGPYEARERADVFRRFNIQMVEEMAMVENDTKARAAVYKRTSAMLSEIITEDREHLSLIQRHGWQGTEEGKHTGNMADEPETKPSS
->49
-MDSPAEYKIFLNIILAPVDDGLRFTYSGDNFFYREISMISLIAALAVDRVIGMENAMPWNLPADLAWFKRNTLNKPVIMGRHTWESIGRPLPGRKNIILSSQPGTDDRVTWVKSVDEAIAACGDVPEIMVIGGGRVYEQFLPKAQKLYLTHIDAEVEGDTHFPDYEPDDWESVFSEFHDADAQNSHSYCFEILERR
->50
-MATYLIGDVHGCYDELIALLHKVEFTPGKDTLWLTGDLVARGPGSLDVLRYVKSLGDSVRLVLGNHDLHLLAVFAGISRNKPKDRLTPLLEAPDADELLNWLRRQPLLQIDEEKKLVMAHAGITPQWDLQTAKECARDVEAVLSSDSYPFFLDAMYGDMPNNWSPELRGLGRLRFITNAFTRMRFCFPNGQLDMYSKESPEEAPAPLKPWFAIPGPVAEEYSIAFGHWASLEGKGTPEGIYALDTGCCWGGTLTCLRWEDKQYFVQPSNRHKDLGEAAAS
->51
-MINSPRVCIQVQSVYIEAQSSPDNERYVFAYTVTIRNLGRAPVQLLGRYWLITNGNGRETEVQGEGVVGVQPLIAPGEEYQYTSGAIIETPLGTMQGHYEMIDENGVPFSIDIPVFRLAVPTLIH
->52
-MNNRVHQGHLARKRFGQNFLNDQFVIDSIVSAINPQKGQAMVEIGPGLAALTEPVGERLDQLTVIELDRDLAARLQTHPFLGPKLTIYQQDAMTFNFGELAEKMGQPLRVFGNLPYNISTPLMFHLFSYTDAIADMHFMLQKEVVNRLVAGPNSKAYGRLSVMAQYYCNVIPVLEVPPSAFTPPPKVDSAVVRLVPHATMPHPVKDVRVLSRITTEAFNQRRKTIRNSLGNLFSVEVLTGMGIDPAMRAENISVAQYCQMANYLAENAPLQES
->53
-MVKTQRVVITPGEPAGIGPDLVVQLAQREWPVELVVCADATLLTNRAAMLGLPLTLRPYSPNSPAQPQTAGTLTLLPVALRAPVTAGQLAVENGHYVVETLARACDGCLNGEFAALITGPVHKGVINDAGIPFTGHTEFFEERSQAKKVVMMLATEELRVALATTHLPLRDIADAITPALLHEVIAILHHDLRTKFGIAEPRILVCGLNPHAGEGGHMGTEEIDTIIPVLNELRAQGMKLNGPLPADTLFQPKYLDNADAVLAMYHDQGLPVLKYQGFGRGVNITLGLPFIRTSVDHGTALELAGRGKADVGSFITALNLAIKMIVNTQ
->54
-MKNWKTLLLGIAMIANTSFAAPQVVDKVAAVVNNGVVLESDVDGLMQSVKLNAAQARQQLPDDATLRHQIMERLIMDQIILQMGQKMGVKISDEQLDQAIANIAKQNNMTLDQMRSRLAYDGLNYNTYRNQIRKEMIISEVRNNEVRRRITILPQEVESLAQQVGNQNDASTELNLSHILIPLPENPTSDQVNEAESQARAIVDQARNGADFGKLAIAHSADQQALNGGQMGWGRIQELPGIFAQALSTAKKGDIVGPIRSGVGFHILKVNDLRGESKNISVTEVHARHILLKPSPIMTDEQARVKLEQIAADIKSGKTTFAAAAKEFSQDPGSANQGGDLGWATPDIFDPAFRDALTRLNKGQMSAPVHSSFGWHLIELLDTRNVDKTDAAQKDRAYRMLMNRKFSEEAASWMQEQRASAYVKILSN
->55
-MKKRIPTLLATMIATALYSQQGLAADLASQCMLGVPSYDRPLVQGDTNDLPVTINADHAKGDYPDDAVFTGSVDIMQGNSRLQADEVQLHQKEAPGQPEPVRTVDALGNVHYDDNQVILKGPKGWANLNTKDTNVWEGDYQMVGRQGRGKADLMKQRGENRYTILDNGSFTSCLPGSDTWSVVGSEIIHDREEQVAEIWNARFKVGPVPIFYSPYLQLPVGDKRRSGFLIPNAKYTTTNYFEFYLPYYWNIAPNMDATITPHYMHRRGNIMWENEFRYLSQAGAGLMELDYLPSDKVYEDEHPNDDSSRRWLFYWNHSGVMDQVWRFNVDYTKVSDPSYFNDFDNKYGSSTDGYATQKFSVGYAVQNFNATVSTKQFQVFSEQNTSSYSAEPQLDVNYYQNDVGPFDTRIYGQAVHFVNTRDDMPEATRVHLEPTINLPLSNNWGSINTEAKLLATHYQQTNLDWYNSRNTTKLDESVNRVMPQFKVDGKMVFERDMEMLAPGYTQTLEPRAQYLYVPYRDQSDIYNYDSSLLQSDYSGLFRDRTYGGLDRIASANQVTTGVTSRIYDDAAVERFNISVGQIYYFTESRTGDDNITWENDDKTGSLVWAGDTYWRISERWGLRGGIQYDTRLDNVATSNSSIEYRRDEDRLVQLNYRYASPEYIQATLPKYYSTAEQYKNGISQVGAVASWPIADRWSIVGAYYYDTNANKQADSMLGVQYSSCCYAIRVGYERKLNGWDNDKQHAVYDNAIGFNIELRGLSSNYGLGTQEMLRSNILPYQNTL
->56
-MQYWGKIIGVAVALLMGGGFWGVVLGLLIGHMFDKARSRKMAWFANQRERQALFFATTFEVMGHLTKSKGRVTEADIHIASQLMDRMNLHGASRTAAQNAFRVGKSDNYPLREKMRQFRSVCFGRFDLIRMFLEIQIQAAFADGSLHPNERAVLYVIAEELGISRAQFDQFLRMMQGGAQFGGGYQQQTGGGNWLQAQRGPTLEDACNVLGVKPTDDATTIKRAYRKLMSEHHPDKLVAKGLPPEMMEMAKQKAQEIQQAYELIKQQKGFK
->57
-MGMENYNPPQEPWLVILYQDDHIMVVNKPSGLLSVPGRLEEHKDSVMTRIQRDYPQAESVHRLDMATSGVIVVALTKAAERELKRQFREREPKKQYVARVWGHPSPAEGLVDLPLICDWPNRPKQKVCYETGKPAQTEYEVVEYAADNTARVVLKPITGRSHQLRVHMLALGHPILGDRFYASPEARAMAPRLLLHAEMLTITHPAYGNSMTFKAPADF
->58
-MPFTLGQRWISDTESELGLGTVVAVDARTVTLLFPSTGENRLYARSDSPVTRVMFNPGDTITSHDGWQMQVEEVKEENGLLTYIGTRLDTEESGVALREVFLDSKLVFSKPQDRLFAGQIDRMDRFALRYRARKYSSEQFRMPYSGLRGQRTSLIPHQLNIAHDVGRRHAPRVLLADEVGLGKTIEAGMILHQQLLSGAAERVLIIVPETLQHQWLVEMLRRFNLRFALFDDERYAEAQHDAYNPFDTEQLVICSLDFARRSKQRLEHLCEAEWDLLVVDEAHHLVWSEDAPSREYQAIEQLAEHVPGVLLLTATPEQLGMESHFARLRLLDPNRFHDFAQFVEEQKNYRPVADAVAMLLAGNKLSNDELNMLGEMIGEQDIEPLLQAANSDSEDAQSARQELVSMLMDRHGTSRVLFRNTRNGVKGFPKRELHTIKLPLPTQYQTAIKVSGIMGARKSAEDRARDMLYPERIYQEFEGDNATWWNFDPRVEWLMGYLTSHRSQKVLVICAKAATALQLEQVLREREGIRAAVFHEGMSIIERDRAAAWFAEEDTGAQVLLCSEIGSEGRNFQFASHMVMFDLPFNPDLLEQRIGRLDRIGQAHDIQIHVPYLEKTAQSVLVRWYHEGLDAFEHTCPTGRTIYDSVYNDLINYLASPDQTEGFDDLIKNCREQHEALKAQLEQGRDRLLEIHSNGGEKAQALAESIEEQDDDTNLIAFAMNLFDIIGINQDDRGDNMIVLTPSDHMLVPDFPGLSEDGITITFDREVALAREDAQFITWEHPLIRNGLDLILSGDTGSSTISLLKNKALPVGTLLVELIYVVEAQAPKQLQLNRFLPPTPVRMLLDKNGNNLAAQVEFETFNRQLNAVNRHTGSKLVNAVQQDVHAILQLGEAQIEKSARALIDAARNEADEKLSAELSRLEALRAVNPNIRDDELTAIESNRQQVMESLDQAGWRLDALRLIVVTHQ
->59
-MAQAGFILTRHWRDTPQGTEVSFWLATDNGPLQVTLAPQESVAFIPADQVPRAQHILQGEQGVRLTPLALKDFHRQPVYGLYCRAHRQLMNYEKRLREGGVTVYEADVRPPERYLMERFITSPVWVEGDMHNGAIVNARLKPHPDYRPPLKWVSIDIETTRHGELYCIGLEGCGQRIVYMLGPENGDASALDFELEYVASRPQLLEKLNAWFANYDPDVIIGWNVVQFDLRMLQKHAERYRIPLRLGRDNSELEWREHGFKNGVFFAQAKGRLIIDGIEALKSAFWNFSSFSLETVAQELLGEGKSIDNPWDRMDEIDRRFAEDKPALATYNLKDCELVTQIFHKTEIMPFLLERATVNGLPVDRHGGSVAAFGHLYFPRMHRAGYVAPNLGEVPPHASPGGYVMDSRPGLYDSVLVLDYKSLYPSIIRTFLIDPVGLVEGMAQPDPEHSTEGFLDAWFSREKHCLPEIVTNIWHGRDEAKRQGNKPLSQALKIIMNAFYGVLGTTACRFFDPRLASSITMRGHQIMRQTKALIEAQGYDVIYGDTDSTFVWLKGAHSEEEAAKIGRALVQHVNAWWAETLQKQRLTSALELEYETHFCRFLMPTIRGADTGSKKRYAGLIQEGDKQRMVFKGLETVRTDWTPLAQQFQQELYLRIFRNEPYQEYVRETIDKLMAGELDARLVYRKRLRRPLSEYQRNVPPHVRAARLADEENQKRGRPLQYQNRGTIKYVWTTNGPEPLDYQRSPLDYEHYLTRQLQPVAEGILPFIEDNFATLMTGQLGLF
->60
-MLEDLKRQVLEANLALPKHNLVTLTWGNVSAVDRERGVFVIKPSGVDYSIMTADDMVVVSIETGEVVEGAKKPSSDTPTHRLLYQAFPSIGGIVHTHSRHATIWAQAGQSIPATGTTHADYFYGTIPCTRKMTDAEINGEYEWETGNVIVETFEKQGIDAAQMPGVLVHSHGPFAWGKNAEDAVHNAIVLEEVAYMGIFCRQLAPQLPDMQQTLLNKHYLRKHGAKAYYGQ
->61
-MTIFDNYEVWFVIGSQHLYGPETLRQVTQHAEHVVNALNTEAKLPCKLVLKPLGTTPDEITAICRDANYDDRCAGLVVWLHTFSPAKMWINDLTMLNKPLLQFHTQFNAALPWDSIDMDFMNLNQTAHGGREFGFIGARMRQQHAVVTGHWQDKQAHERIGSWMRQAVSKQDTRHLKVCRFGDNMREVAVTDGDKVAAQIKFGFSVNTWAVGDLVQVVNSISDGDVNALVDEYESCYTMTPATQIHGEKRQNVLETARIELGMKRFLEQGGFHAFTTTFEDLHGLKQLPGLAVQRLMQQGYGFAGEGDWKTAALLRIMKVMSTGLQGGTSFMEDYTYHFEKGNDLVLGSHMLEVCPSIAVEEKPILDVQHLGIGGKDDPARLIFNTQTGPAIVASLIDLGDRYRLLVNCIDTVKTPHSLPKLPVANALWKAQPDLPTASEAWILAGGAHHTVFSHALNLNDMRQFAEMHDIEITVIDNDTRLPAFKDALRWNEVYYGFRR
->62
-MAIAIGLDFGSDSVRALAVDCASGEEIATSVEWYPRWQKGQFCDAPNNQFRHHPRDYIESMEAALKTVLAELSVEQRAAVVGIGVDSTGSTPAPIDADGNVLALRPEFAENPNAMFVLWKDHTAVEEAEEITRLCHAPGNVDYSRYIGGIYSSEWFWAKILHVTRQDSAVAQSAASWIELCDWVPALLSGTTRPQDIRRGRCSAGHKSLWHESWGGLPPASFFDELDPILNRHLPSPLFTDTWTADIPVGTLCPEWAQRLGLPESVVISGGAFDCHMGAVGAGAQPNALVKVIGTSTCDILIADKQSVGERAVKGICGQVDGSVVPGFIGLEAGQSAFGDIYAWFGRVLSWPLEQLAAQHPELKAQINASQKQLLPALTEAWAKNPSLDHLPVVLDWFNGRRSPNANQRLKGVITDLNLATDAPLLFGGLIAATAFGARAIMECFTDQGIAVNNVMALGGIARKNQVIMQACCDVLNRPLQIVASDQCCALGAAIFAAVAAKVHADIPSAQQKMASAVEKTLQPRSEQAQRFEQLYRRYQQWAMSAEQHYLPTSAPAQAAQAVATL
->63
-MAEAQNDPLLPGYSFNAHLVAGLTPIEANGYLDFFIDRPLGMKGYILNLTIRGQGVVKNQGREFVCRPGDILLFPPGEIHHYGRHPEAREWYHQWVYFRPRAYWHEWLNWPSIFANTGFFRPDEAHQPHFSDLFGQIINAGQGEGRYSELLAINLLEQLLLRRMEAINESLHPPMDNRVREACQYISDHLADSNFDIASVAQHVCLSPSRLSHLFRQQLGISVLSWREDQRISQAKLLLSTTRMPIATVGRNVGFDDQLYFSRVFKKCTGASPSEFRAGCEEKVNDVAVKLS
->64
-MQALLEHFITQSTVYSLMAVVLVAFLESLALVGLILPGTVLMAGLGALIGSGELSFWHAWLAGIVGCLLGDWISFWLGWRFKKPLHRWSFLKKNKALLDKTEHALHQHSMFTILVGRFVGPTRPLVPMVAGMLDLPVAKFITPNIIGCLLWPPFYFLPGILAGAAIDIPAGMQSGEFKWLLLATAVFVWVGGWLCWRLWRSGKATDRLSHYLSRGRLLWLTPLISAIGVVALVVLIRHPLMPVYIDILRKVVGV
->65
-MLKLTDITWLYQHLPMRFSLTVERGEQVAILGPSGAGKSTLLNLIAGFLTPASGSLTIDGVDHTTTPPSRRPVSMLFQENNLFSHLTVAQNIGLGLNPGLKLNAAQQEKMHAIARQMGIDNLMARLPGELSGGQRQRVALARCLVREQPILLLDEPFSALDPALRQEMLTLVSTSCQQQKMTLLMVSHSVEDAARIATRSVVVADGRIAWQGKTNELLSGKASASALLGITG
->66
-MATRRQPLIPGWLIPGVSATTLVVAVALAAFLALWWNAPQDDWVAVWQDSYLWHVVRFSFWQAFLSALLSVVPAIFLARALYRRRFPGRLALLRLCAMTLILPVLVAVFGILSVYGRQGWLATLCQSLGLEWTFSPYGLQGILLAHVFFNLPMASRLLLQALENIPGEQRQLAAQLGMRGWHFFRFVEWPWLRRQIPPVAALIFMLCFASFATVLSLGGGPQATTIELAIYQALSYDYDPARAAMLALIQMVCCLGLVLLSQRLSKAIAPGTTLLQGWRDPDDRLHSRICDTVLIVLALLLLLPPLLAVIVDGLNRQLPEVLAQPVLWQALWTSLRIALAAGVLCVVLTMMLLWSSRELRARQKMLAGQALEMSGMLILAMPGIVLATGFFLLLNNTIGLPQSADGIVIFTNALMAIPYALKVLENPMRDITARYSMLCQSLGIEGWSRLKVVELRALKRPLAQALAFACVLSIGDFGVVALFGNDDFRTLPFYLYQQIGSYRSQDGAVTALILLLLCFLLFTVIEKLPGRDVKTD
->67
-MLKKCLPLLLLCTAPVFAKPVLTVYTYDSFAADWGPGPVVKKAFEADCNCELKLVALEDGVSLLNRLRMEGKNSKADVVLGLDNNLLDAASKTGLFAKSGVAADAVNVPGGWNNDTFVPFDYGYFAFVYDKNKLKNPPQSLKELVESDQNWRVIYQDPRTSTPGLGLLLWMQKVYGDDAPQAWQKLAKKTVTVTKGWSEAYGLFLKGESDLVLSYTTSPAYHILEEKKDNYAAANFSEGHYLQVEVAARTAASKQPELAQKFLQFMVSPAFQNAIPTGNWMYPVANVTLPAGFEKLTKPATTLEFTPAEVAAQRQAWISEWQRAVSR
->68
-MPSARLQQQFIRLWQCCEGKSQDTTLNELAALLSCSRRHMRTLLNTMQDRGWLTWEAEVGRGKRSRLTFLYTGLALQQQRAEDLLEQDRIDQLVQLVGDKATVRQMLVSHLGRSFRQGRHILRVLYYRPLRNLLPGSALRRSETHIARQIFSSLTRINEENGELEADIAHHWQQISPLHWRFFLRPGVHFHHGRELEMDDVIASLKRINTLPLYSHIADIVSPTPWTLDIHLTQPDRWLPLLLGQVPAMILPREWETLSNFASHPIGTGPYAVIRNSTNQLKIQAFDDFFGYRALIDEVNVWVLPEIADEPAGGLMLKGPQGEEKEIESRLEEGCYYLLFDSRTHRGANQQVRDWVSYVLSPTNLVYFAEEQYQQLWFPAYGLLPRWHHARTIKSEKPAGLESLILTFYQDHSEHRVIAGIMQQILASHQVTLEIKEISYDQWHEGEIESDIWLNSANFTLPLDFSLFAHLCEVPLLQHCIPIDWQADAARWRNGEMNLANWCQQLVASKAMVPLIHHWLIIQGQRSMRGLRMNTLGWFDFKSAWFAPPDP
->69
-MRQFYQHYFTATAKLCWLRWLSVPQRLTMLEGLMQWDDRNSES
->70
-MIWIMTMARRMNGVYAAFMLVAFMMGVAGALQAPTLSLFLSREVGAQPFWIGLFYTVNAIAGIGVSLWLAKRSDSQGDRRKLIIFCCLMAIGNALLFAFNRHYLTLITCGVLLASLANTAMPQLFALAREYADNSAREVVMFSSVMRAQLSLAWVIGPPLAFMLALNYGFTVMFSIAAGIFTLSLVLIAFMLPSVARVELPSENALSMQGGWQDSNVRMLFVASTLMWTCNTMYIIDMPLWISSELGLPDKLAGFLMGTAAGLEIPAMILAGYYVKRYGKRRMMVIAVAAGVLFYTGLILFHSRLALMTLQLFNAVFIGIVAGIGMLWFQDLMPGRAGAATTLFTNSISTGVILAGVIQGAIAQSWGHFAVYWVIAVISVIALFLTAKVKDV
->71
-MAEKFIKHTGLVVPLDAANVDTDAIIPKQFLQKVTRTGFGAHLFNDWRFLDEKGQQPNPDFVLNFPQYQGASILLARENFGCGSSREHAPWALTDYGFKVVIAPSFADIFYGNSFNNQLLPVKLSDAEVDELFALVKANPGIHFDVDLEAQEVKAGEKTYRFTIDAFRRHCMMNGLDSIGLTLQHDDAIAAYEAKQPAFMN
->72
-MAKTLYEKLFDAHVVYEAENETPLLYIDRHLVHEVTSPQAFDGLRAHGRPVRQPGKTFATMDHNVSTQTKDINACGEMARIQMQELIKNCKEFGVELYDLNHPYQGIVHVMGPEQGVTLPGMTIVCGDSHTATHGAFGALAFGIGTSEVEHVLATQTLKQGRAKTMKIEVQGKAAPGITAKDIVLAIIGKTGSAGGTGHVVEFCGEAIRDLSMEGRMTLCNMAIEMGAKAGLVAPDETTFNYVKGRLHAPKGKDFDDAVAYWKTLQTDEGATFDTVVTLQAEEISPQVTWGTNPGQVISVNDNIPDPASFADPVERASAEKALAYMGLKPGIPLTEVAIDKVFIGSCTNSRIEDLRAAAEIAKGRKVAPGVQALVVPGSGPVKAQAEAEGLDKIFIEAGFEWRLPGCSMCLAMNNDRLNPGERCASTSNRNFEGRQGRGGRTHLVSPAMAAAAAVTGHFADIRNIK
->73
-MSKNYHIAVLPGDGIGPEVMTQALKVLDAVRNRFAMRITTSHYDVGGAAIDNHGQPLPPATVEGCEQADAVLFGSVGGPKWEHLPPDQQPERGALLPLRKHFKLFSNLRPAKLYQGLEAFCPLRADIAANGFDILCVRELTGGIYFGQPKGREGSGQYEKAFDTEVYHRFEIERIARIAFESARKRRHKVTSIDKANVLQSSILWREIVNEIATEYPDVELAHMYIDNATMQLIKDPSQFDVLLCSNLFGDILSDECAMITGSMGMLPSASLNEQGFGLYEPAGGSAPDIAGKNIANPIAQILSLALLLRYSLDADDAACAIERAINRALEEGIRTGDLARGAAAVSTDEMGDIIARYVAEGV
->74
-MSQQVIIFDTTLRDGEQALQASLSVKEKLQIALALERMGVDVMEVGFPVSSPGDFESVQTIARQVKNSRVCALARCVEKDIDVAAESLKVAEAFRIHTFIATSPMHIATKLRSTLDEVIERAIYMVKRARNYTDDVEFSCEDAGRTPIADLARVVEAAINAGATTINIPDTVGYTMPFEFAGIISGLYERVPNIDKAIISVHTHDDLGLAVGNSLAAVHAGARQVEGAMNGIGERAGNCSLEEVIMAIKVRKDILNVHTAINHQEIWRTSQLVSQICNMPIPANKAIVGSGAFAHSSGIHQDGVLKNRENYEIMTPESIGLNQIQLNLTSRSGRAAVKHRMDEMGYKESEYNLDNLYDAFLKLADKKGQVFDYDLEALAFIGKQQEEPEHFRLDYFSVQSGSNDIATAAVKLACGEEVKAEAANGNGPVDAVYQAINRITEYNVELVKYSLTAKGHGKDALGQVDIVANYNGRRFHGVGLATDIVESSAKAMVHVLNNIWRAAEVEKELQRKAQHNENNKETV
->75
-MPEVQTDHPETAELSKPQLRMVDLNLLTVFDAVMQEQNITRAAHVLGMSQPAVSNAVARLKVMFNDELFVRYGRGIQPTARAFQLFGSVRQALQLVQNELPGSGFEPASSERVFHLCVCSPLDSILTSQIYNHIEQIAPNIHVMFKSSLNQNTEHQLRYQETEFVISYEDFHRPEFTSVPLFKDEMVLVASKNHPTIKGPLLKHDVYNEQHAAVSLDRFASFSQPWYDTVDKQASIAYQGMAMMSVLSVVSQTHLVAIAPRWLAEEFAESLELQVLPLPLKQNSRTCYLSWHEAAGRDKGHQWMEEQLVSICKR
->76
-MEMLSGAEMVVRSLIDQGVKQVFGYPGGAVLDIYDALHTVGGIDHVLVRHEQAAVHMADGLARATGEVGVVLVTSGPGATNAITGIATAYMDSIPLVVLSGQVATSLIGYDAFQECDMVGISRPVVKHSFLVKQTEDIPQVLKKAFWLAASGRPGPVVVDLPKDILNPANKLPYVWPESVSMRSYNPTTTGHKGQIKRALQTLVAAKKPVVYVGGGAITAGCHQQLKEMVEALNLPVVSSLMGLGAFPATHRQALGMLGMHGTYEANMTMHNADVIFAVGVRFDDRTTNNLAKYCPNATVLHIDIDPTSISKTVTADIPIVGDARQVLEQMLELLSQESAHQPLDEIRDWWQQIEQWRARQCLKYDTHSEKIKPQAVIETLWRLTKGDAYVTSDVGQHQMFAALYYPFDKPRRWINSGGLGTMGFGLPAALGVKMALPEETVVCVTGDGSIQMNIQELSTALQYELPVLVVNLNNRYLGMVKQWQDMIYSGRHSQSYMQSLPDFVRLAEAYGHVGIQISHPHELESKLSEALEQVRNNRLVFVDVTVDGSEHVYPMQIRGGGMDEMWLSKTERT
->77
-MRRILSVLLENESGALSRVIGLFSQRGYNIESLTVAPTDDPTLSRMTIQTVGDEKVLEQIEKQLHKLVDVLRVSELGQGAHVEREIMLVKIQASGYGRDEVKRNTEIFRGQIIDVTPSLYTVQLAGTSGKLDAFLASIRDVAKIVEVARSGVVGLSRGDKIMR
->78
-MKLDEIARLAGVSRTTASYVINGKAKQYRVSDKTVEKVMAVVREHNYHPNAVAAGLRAGRTRSIGLVIPDLENTSYTRIANYLERQARQRGYQLLIACSEDQPDNEMRCIEHLLQRQVDAIIVSTSLPPEHPFYQRWANDPFPIVALDRALDREHFTSVVGADQDDAEMLAEELRKFPAETVLYLGALPELSVSFLREQGFRTAWKDDPREVHFLYANSYEREAAAQLFEKWLETHPMPQALFTTSFALLQGVMDVTLRRDGKLPSDLAIATFGDNELLDFLQCPVLAVAQRHRDVAERVLEIVLASLDEPRKPKPGLTRIKRNLYRRGVLSRS
->79
-MFRGATLVNLDSKGRLSVPTRYREQLLENAAGQMVCTIDIHHPCLLLYPLPEWEIIEQKLSRLSSMNPVERRVQRLLLGHASECQMDGAGRLLIAPVLRQHAGLTKEVMLVGQFNKFELWDETTWHQQVKEDIDAEQLATGDLSERLQDLSL
->80
-MMENYKHTTVLLDEAVNGLNIRPDGIYIDGTFGRGGHSRLILSQLGEEGRLLAIDRDPQAIAVAKTIDDPRFSIIHGPFSALGEYVAERDLIGKIDGILLDLGVSSPQLDDAERGFSFMRDGPLDMRMDPTRGQSAAEWLQTAEEADIAWVLKTYGEERFAKRIARAIVERNREQPMTRTKELAEVVAAATPVKDKFKHPATRTFQAVRIWVNSELEEIEQALKSSLNVLAPGGRLSIISFHSLEDRIVKRFMRENSRGPQVPAGLPMTEEQLKKLGGRQLRALGKLMPGEEEVAENPRARSSVLRIAERTNA
->81
-MISRVTEALSKVKGSMGSHERHALPGVIGDDLLRFGKLPLCLFICIILTAVTVVTTAHHTRLLTAQREQLVLERDALDIEWRNLILEENALGDHSRVERIATEKLQMQHVDPSQENIVVQK
->82
-MKAAAKTQKPKRQEEHANFISWRFALLCGCILLALAFLLGRVAWLQVISPDMLVKEGDMRSLRVQQVSTSRGMITDRSGRPLAVSVPVKAIWADPKEVHDAGGISVGDRWKALANALNIPLDQLSARINANPKGRFIYLARQVNPDMADYIKKLKLPGIHLREESRRYYPSGEVTAHLIGFTNVDSQGIEGVEKSFDKWLTGQPGERIVRKDRYGRVIEDISSTDSQAAHNLALSIDERLQALVYRELNNAVAFNKAESGSAVLVDVNTGEVLAMANSPSYNPNNLSGTPKEAMRNRTITDVFEPGSTVKPMVVMTALQRGVVRENSVLNTIPYRINGHEIKDVARYSELTLTGVLQKSSNVGVSKLALAMPSSALVDTYSRFGLGKATNLGLVGERSGLYPQKQRWSDIERATFSFGYGLMVTPLQLARVYATIGSYGIYRPLSITKVDPPVPGERVFPESIVRTVVHMMESVALPGGGGVKAAIKGYRIAIKTGTAKKVGPDGRYINKYIAYTAGVAPASQPRFALVVVINDPQAGKYYGGAVSAPVFGAIMGGVLRTMNIEPDALTTGDKNEFVINQGEGTGGRS
->83
-MADRNLRDLLAPWVPDAPSRALREMTLDSRVAAAGDLFVAVVGHQADGRRYIPQAIAQGVAAIIAEAKDEATDGEIREMHGVPVIYLSQLNERLSALAGRFYHEPSDNLRLVGVTGTNGKTTTTQLLAQWSQLLGETSAVMGTVGNGLLGKVIPTENTTGSAVDVQHELAGLVDQGATFCAMEVSSHGLVQHRVAALKFAASVFTNLSRDHLDYHGDMEHYEAAKWLLYSEHHCGQAIINADDEVGRRWLAKLPDAVAVSMEDHINPNCHGRWLKANDVNYHDSGATIRFSSSWGDGEIESHLMGAFNVSNLLLALATLLALGYPLADLLKTAARLQPVCGRMEVFTAPGKPTVVVDYAHTPDALEKALQAARLHCAGKLWCVFGCGGDRDKGKRPLMGAIAEEFADVAVVTDDNPRTEEPRAIINDILAGMLDAGHAKVMEGRAEAVTCAVMQAKENDVVLVAGKGHEDYQIVGNQRLDYSDRVTVARLLGVIA
->84
-MISVTLSQLTDILNGELQGADITLDAVTTDTRKLTPGCLFVALKGERFDAHDFADQAKAGGAGALLVSRPLDIDLPQLIVKDTRLAFGELAAWVRQQVPARVVALTGSSGKTSVKEMTAAILSQCGNTLYTAGNLNNDIGVPMTLLRLTPEYDYAVIELGANHQGEIAWTVSLTRPEAALVNNLAAAHLEGFGSLAGVAKAKGEIFSGLPENGIAIMNADNNDWLNWQSVIGSRKVWRFSPNAANSDFTATNIHVTSHGTEFTLQTPTGSVDVLLPLPGRHNIANALAAAALSMSVGATLDAIKAGLANLKAVPGRLFPIQLAENQLLLDDSYNANVGSMTAAVQVLAEMPGYRVLVVGDMAELGAESEACHVQVGEAAKAAGIDRVLSVGKQSHAISTASGVGEHFADKTALITRLKSLIAEQQVITILVKGSRSAAMEEVVRALQENGTC
->85
-MLVWLAEHLVKYYSGFNVFSYLTFRAIVSLLTALFISLWMGPRMIAHLQKLSFGQVVRNDGPESHFSKRGTPTMGGIMILTAIVISVLLWAYPSNPYVWCVLVVLVGYGVIGFVDDYRKVVRKDTKGLIARWKYFWMSVIALGVAFALYLAGKDTPATQLVVPFFKDVMPQLGLFYILLAYFVIVGTGNAVNLTDGLDGLAIMPTVFVAGGFALVAWATGNMNFASYLHIPYLRHAGELVIVCTAIVGAGLGFLWFNTYPAQVFMGDVGSLALGGALGIIAVLLRQEFLLVIMGGVFVVETLSVILQVGSFKLRGQRIFRMAPIHHHYELKGWPEPRVIVRFWIISLMLVLIGLATLKVR
->86
-MADYQGKNVVIIGLGLTGLSCVDFFLARGVTPRVMDTRMTPPGLDKLPEAVERHTGSLNDEWLMAADLIVASPGIALAHPSLSAAADAGIEIVGDIELFCREAQAPIVAITGSNGKSTVTTLVGEMAKAAGVNVGVGGNIGLPALMLLDDECELYVLELSSFQLETTSSLQAVAATILNVTEDHMDRYPFGLQQYRAAKLRIYENAKVCVVNADDALTMPIRGADERCVSFGVNMGDYHLNHQQGETWLRVKGEKVLNVKEMKLSGQHNYTNALAALALADAAGLPRASSLKALTTFTGLPHRFEVVLEHNGVRWINDSKATNVGSTEAALNGLHVDGTLHLLLGGDGKSADFSPLARYLNGDNVRLYCFGRDGAQLAALRPEVAEQTETMEQAMRLLAPRVQPGDMVLLSPACASLDQFKNFEQRGNEFARLAKELG
->87
-MRLSLPRLKMPRLPGFSILVWISTALKGWVMGSREKDTDSLIMYDRTLLWLTFGLAAIGFIMVTSASMPIGQRLTNDPFFFAKRDGVYLILAFILAIITLRLPMEFWQRYSATMLLGSIILLMIVLVVGSSVKGASRWIDLGLLRIQPAELTKLSLFCYIANYLVRKGDEVRNNLRGFLKPMGVILVLAVLLLAQPDLGTVVVLFVTTLAMLFLAGAKLWQFIAIIGMGISAVVLLILAEPYRIRRVTAFWNPWEDPFGSGYQLTQSLMAFGRGELWGQGLGNSVQKLEYLPEAHTDFIFAIIGEELGYVGVVLALLMVFFVAFRAMSIGRKALEIDHRFSGFLACSIGIWFSFQALVNVGAAAGMLPTKGLTLPLISYGGSSLLIMSTAIMMLLRIDYETRLEKAQAFVRGSR
->88
-MSGQGKRLMVMAGGTGGHVFPGLAVAHHLMAQGWQVRWLGTADRMEADLVPKHGIEIDFIRISGLRGKGIKALIAAPLRIFNAWRQARAIMKAYKPDVVLGMGGYVSGPGGLAAWSLGIPVVLHEQNGIAGLTNKWLAKIATKVMQAFPGAFPNAEVVGNPVRTDVLALPLPQQRLAGREGPVRVLVVGGSQGARILNQTMPQVAAKLGDSVTIWHQSGKGSQQSVEQAYAEAGQPQHKVTEFIDDMAAAYAWADVVVCRSGALTVSEIAAAGLPALFVPFQHKDRQQYWNALPLEKAGAAKIIEQPQLSVDAVANTLAGWSRETLLTMAERARAASIPDATERVANEVSRVARA
->89
-MNTQQLAKLRSIVPEMRRVRHIHFVGIGGAGMGGIAEVLANEGYQISGSDLAPNPVTQQLMNLGATIYFNHRPENVRDASVVVVSSAISADNPEIVAAHEARIPVIRRAEMLAELMRFRHGIAIAGTHGKTTTTAMVSSIYAEAGLDPTFVNGGLVKAAGVHARLGHGRYLIAEADESDASFLHLQPMVAIVTNIEADHMDTYQGDFENLKQTFINFLHNLPFYGRAVMCVDDPVIRELLPRVGRQTTTYGFSEDADVRVEDYQQIGPQGHFTLLRQDKEPMRVTLNAPGRHNALNAAAAVAVATEEGIDDEAILRALESFQGTGRRFDFLGEFPLEPVNGKSGTAMLVDDYGHHPTEVDATIKAARAGWPDKNLVMLFQPHRFTRTRDLYDDFANVLTQVDTLLMLEVYPAGEAPIPGADSRSLCRTIRGRGKIDPILVPDPAQVAEMLAPVLTGNDLILVQGAGNIGKIARSLAEIKLKPQTPEEEQHD
->90
-MTDKIAVLLGGTSAEREVSLNSGAAVLAGLREGGIDAYPVDPKEVDVTQLKSMGFQKVFIALHGRGGEDGTLQGMLELMGLPYTGSGVMASALSMDKLRSKLLWQGAGLPVAPWVALTRAEFEKGLSDKQLAEISALGLPVIVKPSREGSSVGMSKVVAENALQDALRLAFQHDEEVLIEKWLSGPEFTVAILDEEILPSIRIQPSGTFYDYEAKYLSDETQYFCPAGLEASQEANLQALVLKAWTTLGCKGWGRIDVMLDSDGQFYLLEANTSPGMTSHSLVPMAARQAGMSFSQLVVRILELAD
->91
-MSQAALNTRNSEEEVSSRRNNGTRLAGILFLLTVLTTVLVSGWVVLGWMEDAQRLPLSKLVLTGERHYTRNDDIRQSILALGEPGTFMTQDVNIIQTQIEQRLPWIKQVSVRKQWPDELKIHLVEYVPIARWNDQHMVDAEGNTFSVPPDRTSKQVLPMLYGPEGSANEVLQGYREMGQMLAKDRFTLKEAAMTARRSWQLTLNNDIKLNLGRGDTMKRLARFVELYPVLQQQAQTDGKRISYVDLRYDSGAAVGWAPLPPEESTQQQNQAQAEQQ
->92
-MIKATDRKLVVGLEIGTAKVAALVGEVLPDGMVNIIGVGSCPSRGMDKGGVNDLESVVKCVQRAIDQAELMADCQISSVYLALSGKHISCQNEIGMVPISEEEVTQEDVENVVHTAKSVRVRDEHRVLHVIPQEYAIDYQEGIKNPVGLSGVRMQAKVHLITCHNDMAKNIVKAVERCGLKVDQLIFAGLASSYSVLTEDERELGVCVVDIGGGTMDIAVYTGGALRHTKVIPYAGNVVTSDIAYAFGTPPSDAEAIKVRHGCALGSIVGKDESVEVPSVGGRPPRSLQRQTLAEVIEPRYTELLNLVNEEILQLQEKLRQQGVKHHLAAGIVLTGGAAQIEGLAACAQRVFHTQVRIGAPLNITGLTDYAQEPYYSTAVGLLHYGKESHLNGEAEVEKRVTASVGSWIKRLNSWLRKEF
->93
-MFEPMELTNDAVIKVIGVGGGGGNAVEHMVRERIEGVEFFAVNTDAQALRKTAVGQTIQIGSGITKGLGAGANPEVGRNAADEDRDALRAALEGADMVFIAAGMGGGTGTGAAPVVAEVAKDLGILTVAVVTKPFNFEGKKRMAFAEQGITELSKHVDSLITIPNDKLLKVLGRGISLLDAFGAANDVLKGAVQGIAELITRPGLMNVDFADVRTVMSEMGYAMMGSGVASGEDRAEEAAEMAISSPLLEDIDLSGARGVLVNITAGFDLRLDEFETVGNTIRAFASDNATVVIGTSLDPDMNDELRVTVVATGIGMDKRPEITLVTNKQVQQPVMDRYQQHGMAPLTQEQKPVAKVVNDNAPQTAKEPDYLDIPAFLRKQAD
->94
-MIKQRTLKRIVQATGVGLHTGKKVTLTLRPAPANTGVIYRRTDLNPPVDFPADAKSVRDTMLCTCLVNEHDVRISTVEHLNAALAGLGIDNIVIEVNAPEIPIMDGSAAPFVYLLLDAGIDELNCAKKFVRIKETVRVEDGDKWAEFKPYNGFSLDFTIDFNHPAIDSSNQRYAMNFSADAFMRQISRARTFGFMRDIEYLQSRGLCLGGSFDCAIVVDDYRVLNEDGLRFEDEFVRHKMLDAIGDLFMCGHNIIGAFTAYKSGHALNNKLLQAVLAKQEAWEYVTFQDDAELPLAFKAPSAVLA
->95
-MLWTAGFNDKICALNTFEYDRDGNNVSGILTRWRQFGKRYFWPHLLLGMVAASLGLPALSNAAEPNAPAKATTRNHEPSAKVNFGQLALLEANTRRPNSNYSVDYWHQHAIRTVIRHLSFAMAPQTLPVAEESLPLQAQHLALLDTLSALLTQEGTPSEKGYRIDYAHFTPQAKFSTPVWISQAQGIRAGPQRLT
->96
-MLIKLLTKVFGSRNDRTLRRMRKVVNIINAMEPEMEKLSDEELKGKTAEFRARLEKGEVLENLIPEAFAVVREASKRVFGMRHFDVQLLGGMVLNERCIAEMRTGEGKTLTATLPAYLNALTGKGVHVVTVNDYLAQRDAENNRPLFEFLGLTVGINLPGMPAPAKREAYAADITYGTNNEYGFDYLRDNMAFSPEERVQRKLHYALVDEVDSILIDEARTPLIISGPAEDSSEMYKRVNKIIPHLIRQEKEDSETFQGEGHFSVDEKSRQVNLTERGLVLIEELLVKEGIMDEGESLYSPANIMLMHHVTAALRAHALFTRDVDYIVKDGEVIIVDEHTGRTMQGRRWSDGLHQAVEAKEGVQIQNENQTLASITFQNYFRLYEKLAGMTGTADTEAFEFSSIYKLDTVVVPTNRPMIRKDLPDLVYMTEAEKIQAIIEDIKERTAKGQPVLVGTISIEKSELVSNELTKAGIKHNVLNAKFHANEAAIVAQAGYPAAVTIATNMAGRGTDIVLGGSWQAEVAALENPTAEQIEKIKADWQVRHDAVLEAGGLHIIGTERHESRRIDNQLRGRSGRQGDAGSSRFYLSMEDALMRIFASDRVSGMMRKLGMKPGEAIEHPWVTKAIANAQRKVESRNFDIRKQLLEYDDVANDQRRAIYSQRNELLDVSDVSETINSIREDVFKATIDAYIPPQSLEEMWDIPGLQERLKNDFDLDLPIAEWLDKEPELHEETLRERILAQSIEVYQRKEEVVGAEMMRHFEKGVMLQTLDSLWKEHLAAMDYLRQGIHLRGYAQKDPKQEYKRESFSMFAAMLESLKYEVISTLSKVQVRMPEEVEELEQQRRMEAERLAQMQQLSHQDDDSAAAAALAAQTGERKVGRNDPCPCGSGKKYKQCHGRLQ
->97
-MKKLQIAVGIIRNENNEIFITRRAADAHMANKLEFPGGKIEMGETPEQAVVRELQEEVGITPQHFSLFEKLEYEFPDRHITLWFWLVERWEGEPWGKEGQPGEWMSLVGLNADDFPPANEPVIAKLKRL
->98
-MSETITVNCPTCGKTVVWGEISPFRPFCSKRCQLIDLGEWAAEEKRIPSSGDLSESDDWSEEPKQ
->99
-MQTQVLFEHPLNEKMRTWLRIEFLIQQLTVNLPIVDHAGALHFFRNVSELLDVFERGEVRTELLKELDRQQRKLQTWIGVPGVDQSRIEALIQQLKAAGSVLISAPRIGQFLREDRLIALVRQRLSIPGGCCSFDLPTLHIWLHLPQAQRDSQVETWIASLNPLTQALTMVLDLIRQSAPFRKQTSLNGFYQDNGGDADLLRLNLSLDSQLYPQISGHKSRFAIRFMPLDTENGQVPERLDFELACC
->100
-MRYIVALTGGIGSGKSTVANAFADLGINVIDADIIARQVVEPGAPALHAIADHFGANMIAADGTLQRRALRERIFANPEEKNWLNALLHPLIQQETQHQIQQATSPYVLWVVPLLVENSLYKKANRVLVVDVSPETQLKRTMQRDDVTREHVEQILAAQATREARLAVADDVIDNNGAPDAIASDVARLHAHYLQLASQFVSQEKP
->101
-MRIEEDLKLGFKDVLIRPKRSTLKSRSDVELERQFTFKHSGQSWSGVPIIAANMDTVGTFSMASALASFDILTAVHKHYSVEEWQAFINNSSADVLKHVMVSTGTSDADFEKTKQILDLNPALNFVCIDVANGYSEHFVQFVAKAREAWPTKTICAGNVVTGEMCEELILSGADIVKVGIGPGSVCTTRVKTGVGYPQLSAVIECADAAHGLGGMIVSDGGCTTPGDVAKAFGGGADFVMLGGMLAGHEESGGRIVEENGEKFMLFYGMSSESAMKRHVGGVAEYRAAEGKTVKLPLRGPIENTARDILGGLRSACTYVGASRLKELTKRTTFIRVQEQENRIFNNL
->102
-MASKQLWRWHGITGDGNAQDGMLWAESRTLLLMALQQQMVTPLSLKRIAINSAQWRGDKSAEVIHQLATLLKAGLTLSEGLALLAEQHPSKQWQALLQSLAHDLEQGIAFSNALLPWSEVFPPLYQAMIRTGELTGKLDECCFELARQQKAQRQLTDKVKSALRYPIIILAMAIMVVVAMLHFVLPEFAAIYKTFNTPLPALTQGIMTLADFSGEWSWLLVLFGFLLAIANKLLMRRPTWLIVRQKLLLRIPIMGSLMRGQKLTQIFTILALTQSAGITFLQGVESVRETMRCPYWVQLLTQIQHDISNGQPIWLALKNTGEFSPLCLQLVRTGEASGSLDLMLDNLAHHHRENTMALADNLAALLEPALLIITGGIIGTLVVAMYLPIFHLGDAMSGMG
->103
-MNIPQLTALCLRYHGVLLDASEEVVHVAVVDAPSHELLDALHFATTKRIEITCWTRQQMEGHASRTQQTLPVAVQEKHQPKAELLTRTLQSALEQRASDIHIEPADNAYRIRLRIDGVLHPLPDVSPDAGVALTARLKVLGNLDIAEHRLPQDGQFTVELAGNAVSFRIATLPCRGGEKVVLRLLQQVGQALDVNTLGMQPLQLADFAHALQQPQGLVLVTGPTGSGKTVTLYSALQKLNTADINICSVEDPVEIPIAGLNQTQIHPRAGLTFQGVLRALLRQDPDVIMIGEIRDGETAEIAIKAAQTGHLVLSTLHTNSTCETLVRLQQMGVARWMLSSALTLVIAQRLVRKLCPHCRRQQGEPIHIPDNVWPSPLPHWQAPGCVHCYHGFYGRTALFEVLPITPVIRQLISANTDVESLETHARQAGMRTLFENGCLAVEQGLTTFEELIRVLGMPHGE
->104
-MDKQRGFTLIELMVVIGIIAILSAIGIPAYQNYLRKAALTDMLQTFVPYRTAVELCALEHGGLDTCDGGSNGIPSPTTTRYVSAMSVAKGVVSLTGQESLNGLSVVMTPGWDNANGVTGWTRNCNIQSDSALQQACEDVFRFDDAN
->105
-MPPRRYNPDTRRDELLERINLDIPGAVAQALREDLGGTVDANNDITAKLLPENSRSHATVITRENGVFCGKRWVEEVFIQLAGDDVTIIWHVDDGDVINANQSLFELEGPSRVLLTGERTALNFVQTLSGVASKVRHYVELLEGTNTQLLDTRKTLPGLRSALKYAVLCGGGANHRLGLSDAFLIKENHIIASGSVRQAVEKASWLHPDAPVEVEVENLEELDEALKAGADIIMLDNFETEQMREAVKRTNGKALLEVSGNVTDKTLREFAETGVDFISVGALTKHVQALDLSMRFR
->106
-MLLEQGWLVGARRVPSPHYDCRPDDETPTLLVVHNISLPPGEFGGPWIDALFTGTIDPQAHPFFAEIAHLRVSAHCLIRRDGEIVQYVPFDKRAWHAGVSQYQGRERCNDFSIGIELEGTDTLAYTDAQYQQLAAVTRALIDCYPDIAKNMTGHCDIAPDRKTDPGPAFDWARFRVLVSKETT
->107
-MTLFTTLLVLIFERLFKLGEHWQLDHRLEAFFRRVKHFSLGRTLGMTIIAMGVTFLLLRALQGVLFNVPTLLVWLLIGLLCIGAGKVRLHYHAYLTAASRNDSHARATMAGELTMIHGVPAGCDEREYLRELQNALLWINFRFYLAPLFWLIVGGTWGPVTLMGYAFLRAWQYWLARYQTPHHRLQSGIDAVLHVLDWVPVRLAGVVYALIGHGEKALPAWFASLGDFHTSQYQVLTRLAQFSLAREPHVDKVETPKAAVSMAKKTSFVVVVVIALLTIYGALV
->108
-MEGQQHGEQLKRGLKNRHIQLIALGGAIGTGLFLGSASVIQSAGPGIILGYAIAGFIAFLIMRQLGEMVVEEPVAGSFSHFAYKYWGSFAGFASGWNYWVLYVLVAMAELTAVGKYIQFWYPEIPTWVSAAVFFVVINAINLTNVKVFGEMEFWFAIIKVIAVVAMIIFGGWLLFSGNGGPQATVSNLWDQGGFLPHGFTGLVMMMAIIMFSFGGLELVGITAAEADNPEQSIPKATNQVIYRILIFYIGSLAVLLSLMPWTRVTADTSPFVLIFHELGDTFVANALNIVVLTAALSVYNSCVYCNSRMLFGLAQQGNAPKALASVDKRGVPVNTILVSALVTALCVLINYLAPESAFGLLMALVVSALVINWAMISLAHMKFRRAKQEQGVVTRFPALLYPLGNWICLLFMAAVLVIMLMTPGMAISVYLIPVWLIVLGIGYLFKEKTAKAVKAH
->109
-MAYSKIRQPKLSDVIEQQLEFLILEGTLRPGEKLPPERELAKQFDVSRPSLREAIQRLEAKGLLLRRQGGGTFVQSSLWQSFSDPLVELLSDHPESQYDLLETRHALEGIAAYYAALRSTDEDKERIRELHHAIELAQQSGDLDAESNAVLQYQIAVTEAAHNVVLLHLLRCMEPMLAQNVRQNFELLYSRREMLPLVSSHRTRIFEAIMAGKPEEAREASHRHLAFIEEILLDRSREESRRERSLRRLEQRKN
->110
-MSERFPNDVDPIETRDWLQAIESVIREEGVERAQYLIDQLLAEARKGGVNVAAGTGISNYINTIPVEEQPEYPGNLELERRIRSAIRWNAIMTVLRASKKDLELGGHMASFQSSATIYDVCFNHFFRARNEQDGGDLVYFQGHISPGVYARAFLEGRLTQEQLDNFRQEVHGNGLSSYPHPKLMPEFWQFPTVSMGLGPIGAIYQAKFLKYLEHRGLKDTSKQTVYAFLGDGEMDEPESKGAITIATREKLDNLVFVINCNLQRLDGPVTGNGKIINELEGIFEGAGWNVIKVMWGSRWDELLRKDTSGKLIQLMNETVDGDYQTFKSKDGAYVREHFFGKYPETAALVADWTDEQIWALNRGGHDPKKIYAAFKKAQETKGKATVILAHTIKGYGMGDAAEGKNIAHQVKKMNMDGVRHIRDRFNVPVSDTDIEKLPYITFPEGSEEHTYLHAQRQKLHGYLPSRQPNFTEKLELPSLQDFGALLEEQSKEISTTIAFVRALNVMLKNKSIKDRLVPIIADEARTFGMEGLFRQIGIYSPNGQQYTPQDREQVAYYKEDEKGQILQEGINELGAGCSWLAAATSYSTNNLPMIPFYIYYSMFGFQRIGDLCWAAGDQQARGFLIGGTSGRTTLNGEGLQHEDGHSHIQSLTIPNCISYDPAYAYEVAVIMHDGLERMYGEKQENVYYYITTLNENYHMPAMPEGAEEGIRKGIYKLETIEGSKGKVQLLGSGSILRHVREAAEILAKDYGVGSDVYSVTSFTELARDGQDCERWNMLHPLETPRVPYIAQVMNDAPAVASTDYMKLFAEQVRTYVPADDYRVLGTDGFGRSDSRENLRHHFEVDASYVVVAALGELAKRGEIDKKVVADAIAKFNIDADKVNPRLA
->111
-MAIEIKVPDIGADEVEITEILVKVGDKVEAEQSLITVEGDKASMEVPSPQAGIVKEIKVSVGDKTQTGALIMIFDSADGAADAAPAQAEEKKEAAPAAAPAAAAAKDVNVPDIGSDEVEVTEILVKVGDKVEAEQSLITVEGDKASMEVPAPFAGTVKEIKVNVGDKVSTGSLIMVFEVAGEAGAAAPAAKQEAAPAAAPAPAAGVKEVNVPDIGGDEVEVTEVMVKVGDKVAAEQSLITVEGDKASMEVPAPFAGVVKELKVNVGDKVKTGSLIMIFEVEGAAPAAAPAKQEAAAPAPAAKAEAPAAAPAAKAEGKSEFAENDAYVHATPLIRRLAREFGVNLAKVKGTGRKGRILREDVQAYVKEAIKRAEAAPAATGGGIPGMLPWPKVDFSKFGEIEEVELGRIQKISGANLSRNWVMIPHVTHFDKTDITELEAFRKQQNEEAAKRKLDVKITPVVFIMKAVAAALEQMPRFNSSLSEDGQRLTLKKYINIGVAVDTPNGLVVPVFKDVNKKGIIELSRELMTISKKARDGKLTAGEMQGGCFTISSIGGLGTTHFAPIVNAPEVAILGVSKSAMEPVWNGKEFVPRLMLPISLSFDHRVIDGADGARFITIINNTLSDIRRLVM
->112
-MSTEIKTQVVVLGAGPAGYSAAFRCADLGLETVIVERYNTLGGVCLNVGCIPSKALLHVAKVIEEAKALAEHGIVFGEPKTDIDKIRTWKEKVINQLTGGLAGMAKGRKVKVVNGLGKFTGANTLEVEGENGKTVINFDNAIIAAGSRPIQLPFIPHEDPRIWDSTDALELKEVPERLLVMGGGIIGLEMGTVYHALGSQIDVVEMFDQVIPAADKDIVKVFTKRISKKFNLMLETKVTAVEAKEDGIYVTMEGKKAPAEPQRYDAVLVAIGRVPNGKNLDAGKAGVEVDDRGFIRVDKQLRTNVPHIFAIGDIVGQPMLAHKGVHEGHVAAEVIAGKKHYFDPKVIPSIAYTEPEVAWVGLTEKEAKEKGISYETATFPWAASGRAIASDCADGMTKLIFDKESHRVIGGAIVGTNGGELLGEIGLAIEMGCDAEDIALTIHAHPTLHESVGLAAEVFEGSITDLPNPKAKKK
->113
-MKMTLPFKPHVLALICSAGLCAASTGLYIKSRTVEAPVEPQSTQLAVSDAAAVTFPATVSAPPVTPAVVKSAFSTAQIDQWVAPVALYPDALLSQVLMASTYPTNVAQAVQWSHDNPLKQGDAAIQAVSDQPWDASVKSLVAFPQLMALMGENPQWVQNLGDAFLAQPQDVMDSVQRLRQLAQQTGSLKSSTEQKVITTTKKAVPVKQTVTAPVIPSNTVLTANPVITEPATTVISIEPANPDVVYIPNYNPTVVYGNWANTAYPPVYLPPPAGEPFVDSFVRGFGYSMGVATTYALFSSIDWDDDDHDHHHHDDDDYHHHDGGHRDGNGWQHNGDNINIDVNNFNRITGEHLTDKNMAWRHNPNYRNGVPYHDQDMAKRFHQTDVNGGMSATQLPAPTRDSQRQAAANQFQQRTHAAPVITRDTQRQAAAQRFNEAEHYGSYDDFHDFSRRQPLTQQQKDAARQRYQSASPEQRQAVRERMQTNPKIQQRREAARERIQSASPEQRQAVREKMQTNPQNQQRRDAARERIQSASPEQRQVFKEKVQQRPLNQQQRDNARQRVQSASPEQRQVFREKVQESRPQRLNDSNHTVRLNNEQRSAVRERLSERGARRLER
->114
-MLEEYRKHVAERAAEGIAPKPLDANQMAALVELLKNPPAGEEEFLLDLLTNRVPPGVDEAAYVKAGFLAAIAKGEAKSPLLTPEKAIELLGTMQGGYNIHPLIDALDDAKLAPIAAKALSHTLLMFDNFYDVEEKAKAGNEYAKQVMQSWADAEWFLNRPALAEKLTVTVFKVTGETNTDDLSPAPDAWSRPDIPLHALAMLKNAREGIEPDQPGVVGPIKQIEALQQKGFPLAYVGDVVGTGSSRKSATNSVLWFMGDDIPHVPNKRGGGLCLGGKIAPIFFNTMEDAGALPIEVDVSNLNMGDVIDVYPYKGEVRNHETGELLATFELKTDVLIDEVRAGGRIPLIIGRGLTTKAREALGLPHSDVFRQAKDVAESDRGFSLAQKMVGRACGVKGIRPGAYCEPKMTSVGSQDTTGPMTRDELKDLACLGFSADLVMQSFCHTAAYPKPVDVNTHHTLPDFIMNRGGVSLRPGDGVIHSWLNRMLLPDTVGTGGDSHTRFPIGISFPAGSGLVAFAAATGVMPLDMPESVLVRFKGKMQPGITLRDLVHAIPLYAIKQGLLTVEKKGKKNIFSGRILEIEGLPDLKVEQAFELTDASAERSAAGCTIKLNKEPIIEYLNSNIVLLKWMIAEGYGDRRTLERRIQGMEKWLANPELLEADADAEYAAVIDIDLADIKEPILCAPNDPDDARPLSAVQGEKIDEVFIGSCMTNIGHFRAAGKLLDAHKGQLPTRLWVAPPTRMDAAQLTEEGYYSVFGKSGARIEIPGCSLCMGNQARVADGATVVSTSTRNFPNRLGTGANVFLASAELAAVAALIGKLPTPEEYQTYVAQVDKTAVDTYRYLNFNQLSQYTEKADGVIFQTAV
->115
-MDYEFLRDITGVVKVRMSMGHEVVGHWFNEEVKENLALLDEVEQAAHALKGSERSWQRAGHEYTLWMDGEEVMVRANQLEFAGDEMEEGMNYYDEESLSLCGVEDFLQVVAAYRNFVQQK
->116
-MKKLKLHGFNNLTKSLSFCIYDICYAKTAEERDGYIAYIDELYNANRLTEILSETCSIIGANILNIARQDYEPQGASVTILVSEEPVDPKLIDKTEHPGPLPETVVAHLDKSHICVHTYPESHPEGGLCTFRADIEVSTCGVISPLKALNYLIHQLESDIVTIDYRVRGFTRDINGMKHFIDHEINSIQNFMSDDMKALYDMVDVNVYQENIFHTKMLLKEFDLKHYMFHTKPEDLTDSERQEITAALWKEMREIYYGRNMPAV
->117
-MAEKKQWHETLHDQFGQYFAVDNVLYHEKTDHQDLIIFENAAFGRVMALDGVVQTTERDEFIYHEMMTHVPLLAHGHAKHVLIIGGGDGAMLREVTRHKNVESITMVEIDAGVVSFCRQYLPNHNAGSYDDPRFKLVIDDGVNFVNQTSQTFDVIISDCTDPIGPGESLFTSAFYEGCKRCLNPGGIFVAQNGVCFLQQEEAIDSHRKLSHYFSDVGFYQAAIPTYYGGIMTFAWATDNDALRHLSTEIIQARFLASGLKCRYYNPAIHTAAFALPQYLQDALASQPS
->118
-MKTFFRTVLFGSLMAVCANSYALSESEAEDMADLTAVFVFLKNDCGYQNLPNGQIRRALVFFAQQNQWDLSNYDTFDMKALGEDSYRDLSGIGIPVAKKCKALARDSLSLLAYVK
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_02.pfam b/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_02.pfam
deleted file mode 100644
index 62c42953e0..0000000000
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_02.pfam
+++ /dev/null
@@ -1,246 +0,0 @@
-#                                                                            --- full sequence --- -------------- this domain -------------   hmm coord   ali coord   env coord
-# target name        accession   tlen query name           accession   qlen   E-value  score  bias   #  of  c-Evalue  i-Evalue  score  bias  from    to  from    to  from    to  acc description of target
-#------------------- ---------- ----- -------------------- ---------- ----- --------- ------ ----- --- --- --------- --------- ------ ----- ----- ----- ----- ----- ----- ----- ---- ---------------------
-Homoserine_dh        PF00742.17   173 0                    -            820   4.7e-49  166.5   0.0   1   1   6.8e-52   2.2e-48  164.3   0.0     1   173   614   811   614   811 0.93 Homoserine dehydrogenase
-AA_kinase            PF00696.26   241 0                    -            820     2e-46  158.4   0.3   1   1   1.9e-49   6.1e-46  156.8   0.1     3   241     2   284     1   284 0.87 Amino acid kinase family
-NAD_binding_3        PF03447.14   117 0                    -            820   7.3e-33  113.6   0.0   1   1   6.5e-36   2.1e-32  112.1   0.0     1   116   472   605   472   606 0.97 Homoserine dehydrogenase, NAD binding domain
-ACT_7                PF13840.4     65 0                    -            820   3.4e-19   68.3   1.3   1   2   4.7e-11   1.5e-07   30.9   0.0     5    63   314   374   312   376 0.90 ACT domain
-ACT_7                PF13840.4     65 0                    -            820   3.4e-19   68.3   1.3   2   2   1.7e-12   5.5e-09   35.6   0.3     3    61   393   453   391   457 0.92 ACT domain
-ACT                  PF01842.23    67 0                    -            820   1.5e-17   62.9   0.3   1   2   2.2e-11   7.1e-08   32.0   0.0     6    61   324   376   320   381 0.91 ACT domain
-ACT                  PF01842.23    67 0                    -            820   1.5e-17   62.9   0.3   2   2   5.2e-10   1.7e-06   27.5   0.5     6    51   405   447   400   453 0.81 ACT domain
-GHMP_kinases_N       PF00288.24    66 1                    -            310   2.5e-14   53.1   0.3   1   1   7.4e-18     6e-14   51.9   0.3     3    66    85   150    83   150 0.86 GHMP kinases N terminal domain
-GHMP_kinases_C       PF08544.11    85 1                    -            310   5.9e-10   39.2   2.2   1   1   8.1e-14   6.6e-10   39.1   0.0     3    77   212   281   210   288 0.89 GHMP kinases C terminal
-PALP                 PF00291.23   294 2                    -            428   3.4e-24   85.6   0.0   1   1   5.9e-28   4.8e-24   85.1   0.0    30   281    99   369    83   372 0.82 Pyridoxal-phosphate dependent enzyme
-Thr_synth_N          PF14821.4     79 2                    -            428   1.6e-14   53.7   0.1   1   1   9.2e-18   7.5e-14   51.6   0.0     7    79     8    80     4    80 0.96 Threonine synthase N terminus
-DUF2502              PF10697.7     90 3                    -             98   1.1e-15   57.6  14.4   1   1   1.1e-19   1.9e-15   56.9  14.4     1    58    25    70    25    97 0.81 Protein of unknown function (DUF2502)
-H2O2_YaaD            PF03883.12   233 4                    -            258   2.1e-91  305.5   0.0   1   1   1.4e-95   2.3e-91  305.3   0.0     1   232     1   243     1   244 0.97 Peroxide stress protein YaaA
-Na_Ala_symp          PF01235.15   393 5                    -            476  1.6e-142  475.3  25.5   1   1  1.2e-146  1.9e-142  475.1  25.5     7   393    52   453    46   453 0.96 Sodium:alanine symporter family
-TAL_FSA              PF00923.17   287 6                    -            317    1e-102  343.3   0.3   1   1  6.9e-107  1.1e-102  343.1   0.3     1   287    14   313    14   313 0.95 Transaldolase/Fructose-6-phosphate aldolase
-MoCF_biosynth        PF00994.22   144 7                    -            195   4.7e-28   97.5   0.0   1   1   3.6e-32   5.8e-28   97.2   0.0     2   138     8   147     7   152 0.89 Probable molybdopterin binding domain
-Grp1_Fun34_YaaH      PF01184.17   207 8                    -            188   5.2e-41  140.4  22.6   1   1   3.8e-45   6.2e-41  140.1  22.6    15   195     4   177     1   185 0.94 GPR1/FUN34/yaaH family
-Ubiq_cyt_C_chap      PF03981.10   141 9                    -            237   2.4e-23   82.7   0.2   1   1   4.5e-27   3.6e-23   82.1   0.2     1   139    58   220    58   225 0.96 Ubiquinol-cytochrome C chaperone
-DUF3944              PF13099.4     35 9                    -            237   1.2e-15   57.0   0.7   1   1   4.5e-19   3.7e-15   55.4   0.7     1    35     5    39     5    39 0.98 Domain of unknown function (DUF3944)
-DUF2541              PF10807.6    130 10                   -            134   1.1e-64  216.2   0.8   1   1   7.7e-69   1.2e-64  216.0   0.8     1   130     3   132     3   132 0.99 Protein of unknown function (DUF2541)
-HSP70                PF00012.18   599 11                   -            638  2.3e-271  901.1  16.0   1   1  3.3e-275  2.7e-271  900.9  16.0     1   597     4   602     4   604 0.99 Hsp70 protein
-MreB_Mbl             PF06723.11   327 11                   -            638   9.3e-15   54.1   2.0   1   1   1.5e-16   1.2e-12   47.1   0.5    74   316   116   376   109   381 0.78 MreB/Mbl protein
-DnaJ_C               PF01556.16   146 12                   -            376   5.5e-45  152.9   0.0   1   1   1.3e-48   7.2e-45  152.6   0.0     2   146   118   330   117   330 0.96 DnaJ C terminal domain
-DnaJ                 PF00226.29    63 12                   -            376   7.6e-29   99.5   4.8   1   1   2.2e-32   1.2e-28   98.9   4.8     1    63     5    67     5    67 0.99 DnaJ domain
-DnaJ_CXXCXGXG        PF00684.17    67 12                   -            376   2.3e-16   59.8  17.1   1   1   7.8e-20   4.3e-16   58.9  17.1     1    67   144   204   144   204 0.89 DnaJ central domain
-DDE_Tnp_1            PF01609.19   214 13                   -            370   6.6e-30  104.2   0.0   1   1   6.7e-34   1.1e-29  103.5   0.0     2   214   107   348   106   348 0.94 Transposase DDE domain
-HOK_GEF              PF01848.14    42 15                   -             69   8.7e-21   72.9   5.4   1   1   6.4e-25     1e-20   72.7   5.4     1    42    25    66    25    66 0.98 Hok/gef family
-Na_H_antiport_1      PF06965.10   376 16                   -            388    2e-152  507.3  28.6   1   1  1.4e-156  2.2e-152  507.1  28.6     2   376     6   380     5   380 0.97 Na+/H+ antiporter 1
-HTH_1                PF00126.25    60 17                   -            299     6e-16   58.0   0.0   1   1   1.4e-19   1.2e-15   57.1   0.0     2    60     7    65     6    65 0.97 Bacterial regulatory helix-turn-helix protein, lysR family
-LysR_substrate       PF03466.18   209 17                   -            299   2.6e-10   39.9   0.0   1   1   4.4e-14   3.6e-10   39.4   0.0    10   199    97   284    90   288 0.93 LysR substrate binding domain
-Usher                PF00577.18   551 19                   -            381   4.5e-59  200.6  14.9   1   1   6.3e-63   5.2e-59  200.4  14.9   266   551     1   298     1   298 0.94 Outer membrane usher protein
-PapC_C               PF13953.4     66 19                   -            381   1.9e-09   37.1   0.0   1   1   5.4e-13   4.4e-09   35.9   0.0     2    63   308   369   307   370 0.96 PapC C-terminal domain
-HTH_Tnp_IS1          PF12759.5     46 21                   -             91   3.1e-31  106.6   0.5   1   1   5.7e-35   4.6e-31  106.0   0.5     1    46    43    88    43    88 0.99 InsA C-terminal domain
-Zn_Tnp_IS1           PF03811.11    35 21                   -             91   5.4e-22   77.1   6.2   1   1   1.5e-25   1.3e-21   75.9   6.2     1    35     1    36     1    36 0.99 InsA N-terminal domain
-DDE_Tnp_IS1          PF03400.11   131 22                   -            125   1.7e-74  248.2   1.5   1   1   1.1e-78   1.8e-74  248.1   1.5     7   131     1   125     1   125 1.00 IS1 transposase
-Ribosomal_S20p       PF01649.16    82 24                   -             87   1.6e-27   95.8  16.2   1   1   1.1e-31   1.7e-27   95.7  16.2     1    82     2    84     2    84 0.99 Ribosomal protein S20
-FAD_syn              PF06574.10   158 25                   -            313   2.6e-57  193.0   0.0   1   1   4.4e-61   3.6e-57  192.6   0.0     3   158    13   168    11   168 0.98 FAD synthetase
-Flavokinase          PF01687.15   111 25                   -            313   2.7e-37  127.3   0.0   1   1   5.1e-41   4.2e-37  126.7   0.0     1   111   185   307   185   307 0.95 Riboflavin kinase
-tRNA-synt_1          PF00133.20   602 26                   -            938  2.3e-235  782.3   0.0   1   1    1e-238  2.8e-235  782.1   0.0     2   601    28   640    27   641 0.98 tRNA synthetases class I (I, L, M and V)
-Anticodon_1          PF08264.11   152 26                   -            938   1.4e-27   96.4   0.0   1   1     1e-30   2.7e-27   95.4   0.0     1   150   685   840   685   842 0.89 Anticodon-binding domain of tRNA
-tRNA-synt_1g         PF09334.9    391 26                   -            938   6.2e-20   71.2   0.1   1   1   6.9e-14   1.9e-10   40.0   0.0     8    69    58   120    53   243 0.65 tRNA synthetases class I (M)
-zf-FPG_IleRS         PF06827.12    30 26                   -            938   1.7e-09   37.2   3.9   1   1   6.3e-13   1.7e-09   37.2   3.9     1    29   898   926   898   927 0.96 Zinc finger found in FPG and IleRS
-tRNA-synt_1e         PF01406.17   301 26                   -            938     1e-08   34.7   0.0   1   1     1e-09   2.8e-06   26.8   0.0   226   299   574   648   547   650 0.83 tRNA synthetases class I (C) catalytic domain
-tRNA-synt_1_2        PF13603.4    185 26                   -            938   3.8e-07   29.7   0.0   1   1   2.6e-10   6.9e-07   28.8   0.0    11   142   223   359   219   369 0.81 Leucyl-tRNA synthetase, Domain 2
-Peptidase_A8         PF01252.16   130 27                   -            164     4e-35  120.9   8.6   1   1   2.8e-39   4.6e-35  120.8   8.6     2   128    16   155    15   157 0.88 Signal peptidase (SPase) II
-FKBP_C               PF00254.26    94 28                   -            149   1.5e-15   57.1   0.0   1   1   1.3e-19   2.2e-15   56.6   0.0     5    94     5   141     2   141 0.85 FKBP-type peptidyl-prolyl cis-trans isomerase
-LYTB                 PF02401.16   265 29                   -            316   1.4e-92  309.6   0.0   1   1   9.6e-97   1.6e-92  309.4   0.0     1   264     3   282     3   283 0.94 LytB protein
-IU_nuc_hydro         PF01156.17   304 30                   -            304     3e-81  273.2   0.1   1   1   2.1e-85   3.5e-81  273.0   0.1     2   303     4   293     3   294 0.89 Inosine-uridine preferring nucleoside hydrolase
-DapB_C               PF05173.12   121 31                   -            273   4.7e-43  145.9   0.2   1   1   8.1e-47   6.6e-43  145.5   0.2     1   121   132   268   132   268 0.92 Dihydrodipicolinate reductase, C-terminus
-DapB_N               PF01113.18   124 31                   -            273   9.1e-42  142.0   0.5   1   1   5.3e-45   4.3e-41  139.8   0.1     1   124     6   129     6   129 0.99 Dihydrodipicolinate reductase, N-terminus
-CPSase_sm_chain      PF00988.20   127 32                   -            382   1.2e-52  176.9   0.1   1   1   3.9e-56   2.1e-52  176.1   0.1     2   127     5   132     4   132 0.98 Carbamoyl-phosphate synthase small chain, CPSase domain
-GATase               PF00117.26   190 32                   -            382   6.2e-51  172.7   0.0   1   1   2.5e-54   1.3e-50  171.6   0.0     3   189   197   372   195   373 0.96 Glutamine amidotransferase class-I
-Peptidase_C26        PF07722.11   216 32                   -            382   8.3e-08   32.1   0.1   1   1   6.5e-10   3.5e-06   26.8   0.1    93   216   250   355   238   355 0.74 Peptidase C26
-CPSase_L_D2          PF02786.15   211 33                   -           1073  9.3e-118  391.1   2.6   1   2   5.9e-81   1.6e-77  259.6   0.0     1   210   128   334   128   335 0.99 Carbamoyl-phosphate synthase L chain, ATP binding domain
-CPSase_L_D2          PF02786.15   211 33                   -           1073  9.3e-118  391.1   2.6   2   2   1.3e-41   3.5e-38  131.1   0.7     1   210   674   876   674   877 0.95 Carbamoyl-phosphate synthase L chain, ATP binding domain
-CPSase_L_D3          PF02787.17   123 33                   -           1073   1.7e-40  138.1   0.1   1   1   1.6e-43   4.3e-40  136.7   0.1     2   123   427   547   426   547 0.96 Carbamoyl-phosphate synthetase large chain, oligomerisation domain
-MGS                  PF02142.20    95 33                   -           1073   6.3e-19   67.8   0.6   1   1   1.1e-21   3.1e-18   65.6   0.0     2    94   957  1041   956  1042 0.97 MGS-like domain
-ATP-grasp            PF02222.20   171 33                   -           1073   3.3e-15   55.9   0.5   1   2   1.8e-08     5e-05   22.8   0.0     2   161   137   305   136   313 0.81 ATP-grasp domain
-ATP-grasp            PF02222.20   171 33                   -           1073   3.3e-15   55.9   0.5   2   2   5.9e-11   1.6e-07   30.9   0.3     2   160   683   846   682   849 0.85 ATP-grasp domain
-ATP-grasp_3          PF02655.12   161 33                   -           1073   2.3e-11   43.9   0.7   1   1     4e-11   1.1e-07   31.9   0.0     5   158   676   846   672   849 0.79 ATP-grasp domain
-CaiF_GrlA            PF07180.9    146 34                   -            131   9.8e-07   28.7   0.1   1   1   7.5e-11   1.2e-06   28.4   0.1    19    75     5    61     2    98 0.90 CaiF/GrlA transcriptional regulator
-Hexapep              PF00132.22    36 35                   -            196   2.2e-14   52.4  14.6   1   2   1.6e-09   2.5e-05   23.7   0.1     3    32    12    41    11    45 0.88 Bacterial transferase hexapeptide (six repeats)
-Hexapep              PF00132.22    36 35                   -            196   2.2e-14   52.4  14.6   2   2   6.9e-12   1.1e-07   31.1   0.4     1    35    88   122    88   123 0.95 Bacterial transferase hexapeptide (six repeats)
-ECH_1                PF00378.18   251 36                   -            261   4.7e-87  291.3   0.0   1   1   6.4e-91   5.2e-87  291.2   0.0     2   250     9   260     8   261 0.98 Enoyl-CoA hydratase/isomerase
-ECH_2                PF16113.3    334 36                   -            261   3.3e-32  112.2   0.0   1   1   4.8e-36   3.9e-32  111.9   0.0     3   204    15   216    13   246 0.87 Enoyl-CoA hydratase/isomerase
-AMP-binding          PF00501.26   423 37                   -            517   2.3e-89  299.8   0.0   1   1   3.3e-93   2.7e-89  299.6   0.0     5   422    17   426    13   427 0.87 AMP-binding enzyme
-AMP-binding_C        PF13193.4     74 37                   -            517   1.2e-15   58.1   0.0   1   1   3.7e-19     3e-15   56.8   0.0     1    74   435   510   435   510 0.94 AMP-binding enzyme C-terminal domain
-CoA_transf_3         PF02515.15   368 38                   -            245   5.5e-39  134.2   0.0   1   1   3.8e-43   6.2e-39  134.0   0.0   161   368     5   218     1   218 0.95 CoA-transferase family III
-CoA_transf_3         PF02515.15   368 39                   -            139   7.8e-29  100.8   0.0   1   1   5.2e-33   8.5e-29  100.7   0.0     1   128    12   133    12   139 0.94 CoA-transferase family III
-Acyl-CoA_dh_1        PF00441.22   150 40                   -            380   3.7e-46  156.9   1.3   1   1   1.2e-49     5e-46  156.5   1.3     1   150   227   376   227   376 0.99 Acyl-CoA dehydrogenase, C-terminal domain
-Acyl-CoA_dh_M        PF02770.17    97 40                   -            380   7.4e-22   77.2   0.0   1   1   4.6e-25   1.9e-21   75.9   0.0     3    97   123   215   121   215 0.94 Acyl-CoA dehydrogenase, middle domain
-Acyl-CoA_dh_N        PF02771.14   113 40                   -            380   5.1e-15   56.0   0.0   1   1   2.8e-18   1.1e-14   54.9   0.0     1   104     6   108     6   111 0.93 Acyl-CoA dehydrogenase, N-terminal domain
-Acyl-CoA_dh_2        PF08028.9    134 40                   -            380   7.4e-15   55.3   0.6   1   1   2.8e-18   1.1e-14   54.7   0.6     4   125   245   356   242   359 0.94 Acyl-CoA dehydrogenase, C-terminal domain
-BCCT                 PF02028.15   485 41                   -            504  4.1e-115  384.9  42.0   1   1  2.8e-119  4.6e-115  384.7  42.0     1   484    14   500    14   501 0.98 BCCT, betaine/carnitine/choline family transporter
-ETF                  PF01012.19   182 42                   -            256   5.2e-39  133.9   3.6   1   1   3.7e-43   6.1e-39  133.7   3.6     7   181    28   210    22   211 0.93 Electron transfer flavoprotein domain
-ETF_alpha            PF00766.17    84 43                   -            313   3.4e-30  103.8   0.1   1   1   1.1e-33   8.9e-30  102.4   0.1     1    84   190   274   190   274 0.97 Electron transfer flavoprotein FAD-binding domain
-ETF                  PF01012.19   182 43                   -            313   4.5e-14   52.6   1.5   1   1   8.9e-18   7.3e-14   51.9   1.5    50   178    42   169    19   195 0.88 Electron transfer flavoprotein domain
-DAO                  PF01266.22   336 44                   -            428     1e-16   61.4   1.8   1   2   4.9e-10   6.2e-07   29.2   0.3     1    49     7    54     7    92 0.80 FAD dependent oxidoreductase
-DAO                  PF01266.22   336 44                   -            428     1e-16   61.4   1.8   2   2   9.8e-11   1.2e-07   31.5   0.1   143   335   109   329   100   330 0.62 FAD dependent oxidoreductase
-FAD_binding_3        PF01494.17   356 44                   -            428   1.7e-12   47.2   5.2   1   1   7.8e-15   9.7e-12   44.7   5.2     3   300     7   304     6   311 0.67 FAD binding domain
-FAD_oxidored         PF12831.5    433 44                   -            428   2.1e-09   37.1   1.1   1   1   1.7e-12   2.1e-09   37.1   1.1     1   140     7   157     7   168 0.74 FAD dependent oxidoreductase
-FAD_binding_2        PF00890.22   417 44                   -            428   2.4e-09   36.7   8.1   1   1     4e-09     5e-06   25.7   4.1     1    35     7    41     7    55 0.91 FAD binding domain
-HI0933_like          PF03486.12   409 44                   -            428   8.2e-09   34.5   4.1   1   1   2.5e-11   3.2e-08   32.6   4.1     2   167     7   165     6   185 0.86 HI0933-like protein
-NAD_binding_8        PF13450.4     68 44                   -            428   2.1e-08   34.1   1.0   1   1   7.3e-11   9.2e-08   32.1   0.6     1    34    10    43    10    73 0.85 NAD(P)-binding Rossmann-like domain
-GIDA                 PF01134.20   392 44                   -            428   9.7e-08   31.3   1.0   1   1   7.7e-11   9.7e-08   31.3   1.0     1   150     7   162     7   195 0.82 Glucose inhibited division protein A
-Trp_halogenase       PF04820.12   454 44                   -            428   1.2e-07   30.8   3.9   1   1   8.9e-08   0.00011   21.1   0.0   140   216    90   169    61   186 0.83 Tryptophan halogenase
-Sugar_tr             PF00083.22   452 46                   -            443   2.8e-52  178.0  23.9   1   1   4.8e-56   3.9e-52  177.5  23.9    14   449    32   433    21   435 0.91 Sugar (and other) transporter
-MFS_1                PF07690.14   353 46                   -            443   4.7e-36  124.3  63.2   1   1   1.6e-37   1.3e-33  116.3  33.9     7   352    29   386    25   387 0.82 Major Facilitator Superfamily
-Flavodoxin_2         PF02525.15   198 47                   -            176   3.6e-41  140.9   0.0   1   1   5.3e-45   4.4e-41  140.7   0.0     3   198     2   167     1   167 0.91 Flavodoxin-like fold
-FMN_red              PF03358.13   155 47                   -            176   1.5e-07   31.2   0.0   1   1   2.6e-11   2.1e-07   30.7   0.0    62   126    45   115     8   137 0.80 NADPH-dependent FMN reductase
-Na_H_Exchanger       PF00999.19   381 48                   -            620   7.2e-62  209.2  47.1   1   1   1.2e-65   9.6e-62  208.8  47.1     2   379    11   374    10   379 0.94 Sodium/hydrogen exchanger family
-TrkA_N               PF02254.16   116 48                   -            620   1.3e-26   93.0   0.0   1   1   4.3e-30   3.5e-26   91.6   0.0     1   111   402   512   402   514 0.97 TrkA-N domain
-DHFR_1               PF00186.17   161 49                   -            196   6.2e-58  194.9   0.0   1   1   4.5e-62   7.4e-58  194.7   0.0     1   161    38   195    38   195 0.98 Dihydrofolate reductase
-Metallophos          PF00149.26   204 50                   -            280   3.5e-14   53.6   0.1   1   1   5.8e-18   9.5e-14   52.2   0.0     4   128     4   139     1   227 0.73 Calcineurin-like phosphoesterase
-DUF525               PF04379.12    87 51                   -            125   1.6e-33  114.6   0.0   1   1   1.2e-37   1.9e-33  114.4   0.0     2    86    18   102    17   103 0.98 ApaG domain
-RrnaAD               PF00398.18   265 52                   -            273   2.8e-89  298.6   0.0   1   1   1.9e-93   3.1e-89  298.4   0.0     2   264     9   265     8   266 0.98 Ribosomal RNA adenine dimethylase
-PdxA                 PF04166.10   282 53                   -            329  2.1e-110  368.5   0.0   1   1  1.6e-114  2.6e-110  368.2   0.0     5   282    34   321    31   321 0.96 Pyridoxal phosphate biosynthetic protein PdxA
-Rotamase             PF00639.19    96 54                   -            428   2.2e-49  166.2   0.0   1   2   5.8e-24   1.9e-20   73.5   0.0     1    96   178   272   178   272 0.97 PPIC-type PPIASE domain
-Rotamase             PF00639.19    96 54                   -            428   2.2e-49  166.2   0.0   2   2   5.9e-29   1.9e-25   89.5   0.0     1    94   289   380   289   382 0.98 PPIC-type PPIASE domain
-Rotamase_3           PF13616.4    116 54                   -            428   2.8e-47  159.9   0.0   1   2   2.6e-21   8.4e-18   64.9   0.0     7   114   165   272   155   274 0.91 PPIC-type PPIASE domain
-Rotamase_3           PF13616.4    116 54                   -            428   2.8e-47  159.9   0.0   2   2   7.4e-30   2.4e-26   92.4   0.0    13   115   282   383   275   384 0.93 PPIC-type PPIASE domain
-SurA_N               PF09312.9    118 54                   -            428   1.2e-45  154.3   9.0   1   1   3.6e-49   1.2e-45  154.3   9.0     1   118    25   142    25   142 0.99 SurA N-terminal domain
-Rotamase_2           PF13145.4    121 54                   -            428   1.1e-16   61.7   0.9   1   2   2.1e-10   6.8e-07   30.1   0.0    33   111   196   276   182   287 0.65 PPIC-type PPIASE domain
-Rotamase_2           PF13145.4    121 54                   -            428   1.1e-16   61.7   0.9   2   2   5.3e-10   1.7e-06   28.8   0.1    33   110   302   385   293   396 0.65 PPIC-type PPIASE domain
-SurA_N_3             PF13624.4    162 54                   -            428   3.3e-14   52.9   4.6   1   1     4e-17   1.3e-13   50.9   4.6    40   161    24   141     4   142 0.84 SurA N-terminal domain
-OstA_C               PF04453.12   387 55                   -            784  8.9e-113  377.3  31.6   1   1  2.4e-116    2e-112  376.1  31.6     2   387   309   697   308   697 0.99 Organic solvent tolerance protein
-OstA                 PF03968.12   113 55                   -            784   9.5e-29   99.8   0.0   1   1   2.6e-32   2.1e-28   98.7   0.0     1   112    53   194    53   195 0.98 OstA-like protein
-DnaJ                 PF00226.29    63 56                   -            271   3.8e-11   42.8   0.1   1   1   8.7e-15   7.1e-11   41.9   0.1     4    56   208   267   205   269 0.85 DnaJ domain
-TerB                 PF05099.11   144 56                   -            271   4.9e-10   39.4   0.8   1   1     6e-14   4.9e-10   39.4   0.8    20   141    47   170    32   173 0.88 Tellurite resistance protein TerB
-PseudoU_synth_2      PF00849.20   161 57                   -            219   4.4e-30  104.8   0.0   1   1   3.3e-34   5.4e-30  104.5   0.0     1   160    22   169    22   170 0.92 RNA pseudouridylate synthase
-RapA_C               PF12137.6    360 58                   -            968  7.8e-159  528.3   1.5   1   1  2.9e-162  1.2e-158  527.7   1.5     1   360   605   965   605   965 0.99 RNA polymerase recycling family C-terminal
-SNF2_N               PF00176.21   350 58                   -            968   5.2e-19   68.0   0.0   1   1   2.2e-22     9e-19   67.2   0.0    59   293   174   441   165   461 0.85 SNF2 family N-terminal domain
-Helicase_C           PF00271.29   111 58                   -            968   7.8e-18   64.7   0.0   1   1   9.9e-20     4e-16   59.2   0.0     7   111   495   601   490   601 0.87 Helicase conserved C-terminal domain
-ResIII               PF04851.13   171 58                   -            968   3.4e-10   40.1   0.0   1   1   2.3e-13   9.5e-10   38.6   0.0    22   170   168   317   115   318 0.74 Type III restriction enzyme, res subunit
-DNA_pol_B            PF00136.19   464 59                   -            783   9.2e-43  146.5   0.0   1   1   4.9e-46     4e-42  144.4   0.0    30   415   382   735   366   764 0.80 DNA polymerase family B
-DNA_pol_B_exo1       PF03104.17   337 59                   -            783   2.3e-14   53.2   0.0   1   2   9.2e-09   7.5e-05   21.9   0.0    65   173    74   164    59   168 0.80 DNA polymerase family B, exonuclease domain
-DNA_pol_B_exo1       PF03104.17   337 59                   -            783   2.3e-14   53.2   0.0   2   2   6.7e-11   5.5e-07   28.9   0.0   239   337   202   296   187   296 0.74 DNA polymerase family B, exonuclease domain
-Aldolase_II          PF00596.19   186 60                   -            231   2.2e-48  164.5   0.4   1   1   1.7e-52   2.7e-48  164.2   0.4     2   184     8   196     7   198 0.91 Class II Aldolase and Adducin N-terminal domain
-Arabinose_Isome      PF02610.13   356 61                   -            500  2.1e-178  592.9   0.2   1   1    3e-182  2.5e-178  592.6   0.2     2   356     5   359     4   359 1.00 L-arabinose isomerase
-Arabinose_Iso_C      PF11762.6    114 61                   -            500   2.2e-46  156.2   0.0   1   1   9.6e-50   7.8e-46  154.5   0.0     1   114   363   476   363   476 0.99 L-arabinose isomerase C-terminal domain
-FGGY_C               PF02782.14   198 62                   -            566   1.7e-36  125.7   0.4   1   1   3.3e-40   2.7e-36  125.0   0.4     3   198   291   501   289   501 0.86 FGGY family of carbohydrate kinases, C-terminal domain
-AraC_binding         PF02311.17   136 63                   -            292   8.2e-27   93.6   0.6   1   1   1.5e-30   8.2e-27   93.6   0.6     4   136    23   160    20   160 0.91 AraC-like ligand binding domain
-HTH_AraC             PF00165.21    42 63                   -            292   2.2e-21   75.3   0.1   1   2     6e-13   3.2e-09   36.5   0.0     3    41   188   227   186   228 0.90 Bacterial regulatory helix-turn-helix proteins, AraC family
-HTH_AraC             PF00165.21    42 63                   -            292   2.2e-21   75.3   0.1   2   2   3.2e-12   1.7e-08   34.2   0.0     2    41   240   277   239   278 0.96 Bacterial regulatory helix-turn-helix proteins, AraC family
-HTH_18               PF12833.5     81 63                   -            292     2e-20   72.7   0.6   1   1   9.2e-24     5e-20   71.4   0.0     1    80   200   278   200   279 0.97 Helix-turn-helix domain
-SNARE_assoc          PF09335.9    120 64                   -            254     7e-19   68.3  10.0   1   1     9e-23   1.5e-18   67.3   1.7     1   118    36   159    36   161 0.88 SNARE associated Golgi protein
-ABC_tran             PF00005.25   137 65                   -            232   1.5e-37  129.0   0.0   1   1     3e-41   2.5e-37  128.3   0.0     4   136    18   157    16   158 0.97 ABC transporter
-BPD_transp_1         PF00528.20   185 66                   -            536   2.1e-16   60.0  21.6   1   2   1.9e-15   3.1e-11   43.2   9.7     5   182    74   267    70   273 0.83 Binding-protein-dependent transport system inner membrane component
-BPD_transp_1         PF00528.20   185 66                   -            536   2.1e-16   60.0  21.6   2   2   1.1e-11   1.8e-07   30.9   4.0    25   173   376   523   366   534 0.81 Binding-protein-dependent transport system inner membrane component
-SBP_bac_6            PF13343.4    243 67                   -            327     3e-17   62.8   2.6   1   1     7e-21   3.8e-17   62.4   2.6     1   225    73   292    73   307 0.81 Bacterial extracellular solute-binding protein
-SBP_bac_1            PF01547.23   315 67                   -            327   1.9e-16   60.8   6.5   1   1   5.2e-20   2.8e-16   60.2   6.5    14   314    40   272    32   273 0.84 Bacterial extracellular solute-binding protein
-SBP_bac_11           PF13531.4    230 67                   -            327   2.8e-15   56.6   0.2   1   1   6.9e-19   3.8e-15   56.1   0.2    29   223    56   274    22   277 0.80 Bacterial extracellular solute-binding protein
-SgrR_N               PF12793.5    115 68                   -            551   2.6e-42  143.5   5.9   1   1   3.1e-46   2.6e-42  143.5   5.9     1   115     5   118     5   118 0.99 Sugar transport-related sRNA regulator N-term
-SBP_bac_5            PF00496.20   377 68                   -            551   4.5e-20   71.8   0.0   1   1   6.9e-23   5.7e-19   68.2   0.0     3   162   165   306   163   317 0.91 Bacterial extracellular solute-binding proteins, family 5 Middle
-SgrT                 PF15894.3     49 69                   -             43   4.9e-11   42.2   2.2   1   1   3.5e-15   5.7e-11   42.0   2.2     3    39     3    37     1    41 0.95 Inhibitor of glucose uptake transporter SgrT
-MFS_1                PF07690.14   353 70                   -            392   3.3e-37  128.1  70.7   1   2   9.1e-29   1.5e-24   86.5  33.2     2   295    19   302    18   305 0.89 Major Facilitator Superfamily
-MFS_1                PF07690.14   353 70                   -            392   3.3e-37  128.1  70.7   2   2   2.7e-19   4.3e-15   55.4  29.4     1   167   220   385   220   391 0.93 Major Facilitator Superfamily
-Aconitase_C          PF00694.17   131 71                   -            201   3.8e-40  137.1   0.0   1   1   3.2e-44   5.1e-40  136.7   0.0     2   130     3   126     2   127 0.97 Aconitase C-terminal domain
-Aconitase            PF00330.18   462 72                   -            466  5.8e-161  536.4   0.4   1   1  4.1e-165  6.7e-161  536.2   0.4     1   462     7   457     7   457 0.96 Aconitase family (aconitate hydratase)
-Iso_dh               PF00180.18   348 73                   -            363  2.8e-139  464.0   0.0   1   1  1.9e-143  3.2e-139  463.8   0.0     1   348     6   355     6   355 0.99 Isocitrate/isopropylmalate dehydrogenase
-HMGL-like            PF00682.17   264 74                   -            523  5.1e-106  353.9   4.4   1   1  9.9e-110  8.1e-106  353.3   4.4     1   264     4   273     4   273 0.99 HMGL-like
-LeuA_dimer           PF08502.8    133 74                   -            523   7.5e-36  122.8   0.4   1   1     2e-39   1.6e-35  121.8   0.4     1   132   369   499   369   500 0.97 LeuA allosteric (dimerisation) domain
-HTH_1                PF00126.25    60 75                   -            314   2.4e-18   65.7   0.0   1   1   5.5e-22   4.5e-18   64.8   0.0     1    58    24    81    24    82 0.97 Bacterial regulatory helix-turn-helix protein, lysR family
-LysR_substrate       PF03466.18   209 75                   -            314     2e-16   59.9   0.0   1   1   3.7e-20     3e-16   59.3   0.0    31   205   137   309   110   313 0.89 LysR substrate binding domain
-TPP_enzyme_N         PF02776.16   172 76                   -            574   2.8e-61  205.9   0.7   1   1   1.3e-61     7e-58  194.9   0.2     2   166     5   168     4   173 0.98 Thiamine pyrophosphate enzyme, N-terminal TPP binding domain
-TPP_enzyme_C         PF02775.19   153 76                   -            574   2.2e-51  173.5   0.2   1   1   5.6e-53   3.1e-49  166.6   0.0     1   153   394   545   394   545 0.95 Thiamine pyrophosphate enzyme, C-terminal TPP binding domain
-TPP_enzyme_M         PF00205.20   137 76                   -            574   2.3e-47  160.1   0.1   1   1   7.5e-51   4.1e-47  159.3   0.1     1   136   196   330   196   331 0.99 Thiamine pyrophosphate enzyme, central domain
-ALS_ss_C             PF10369.7     74 77                   -            163   2.5e-24   85.2   0.4   1   1   1.1e-26   5.9e-23   80.7   0.1     1    74    84   158    84   158 0.97 Small subunit of acetolactate synthase
-ACT_5                PF13710.4     62 77                   -            163   1.5e-15   56.6   0.1   1   1   5.3e-19   2.9e-15   55.7   0.1     2    62    12    73    11    73 0.97 ACT domain
-ACT                  PF01842.23    67 77                   -            163   4.8e-15   54.9   0.0   1   1   1.5e-18   8.1e-15   54.2   0.0     2    66     4    68     3    69 0.97 ACT domain
-LacI                 PF00356.19    46 78                   -            334   2.2e-19   68.8   0.8   1   1   1.2e-22   4.8e-19   67.7   0.8     1    46     2    50     2    50 0.98 Bacterial regulatory proteins, lacI family
-Peripla_BP_1         PF00532.19   279 78                   -            334   3.5e-14   52.8   0.0   1   1   1.1e-17   4.6e-14   52.4   0.0     2   267    62   312    61   327 0.84 Periplasmic binding proteins and sugar binding domain of LacI family
-Peripla_BP_3         PF13377.4    164 78                   -            334   3.6e-11   43.5   0.1   1   1   2.7e-13   1.1e-09   38.6   0.0    10   158   180   325   171   329 0.82 Periplasmic binding protein-like domain
-Peripla_BP_4         PF13407.4    258 78                   -            334   1.8e-09   37.5   0.0   1   1   5.4e-13   2.2e-09   37.1   0.0     1   226    64   282    64   310 0.83 Periplasmic binding protein domain
-MraZ                 PF02381.16    72 79                   -            152   3.7e-49  164.5   0.0   1   2   2.3e-29   3.7e-25   87.6   0.0     1    71     1    75     1    76 0.98 MraZ protein, putative antitoxin-like
-MraZ                 PF02381.16    72 79                   -            152   3.7e-49  164.5   0.0   2   2   1.7e-25   2.7e-21   75.2   0.0     1    59    77   135    77   147 0.92 MraZ protein, putative antitoxin-like
-Methyltransf_5       PF01795.17   309 80                   -            313    5e-124  413.7   0.0   1   1  3.4e-128  5.6e-124  413.5   0.0     2   308     5   310     4   311 0.97 MraW methylase family
-FtsL                 PF04999.11    97 81                   -            121   1.6e-35  120.9   0.1   1   1   1.1e-39   1.9e-35  120.6   0.1     2    96    25   119    24   120 0.97 Cell division protein FtsL
-Transpeptidase       PF00905.20   306 82                   -            588   3.3e-84  282.5   0.1   1   1   5.2e-88   4.3e-84  282.2   0.1     1   305   260   554   260   555 0.96 Penicillin binding protein transpeptidase domain
-PBP_dimer            PF03717.13   180 82                   -            588   7.4e-23   81.7   0.0   1   1     3e-25   2.4e-21   76.7   0.0     5   178    70   220    66   222 0.90 Penicillin-binding Protein dimerisation domain
-Mur_ligase_M         PF08245.10   192 83                   -            495   4.3e-52  176.8   0.1   1   1   1.2e-55   6.6e-52  176.2   0.1     1   191   114   318   114   319 0.93 Mur ligase middle domain
-Mur_ligase_C         PF02875.19    91 83                   -            495   2.6e-26   91.5   0.0   1   1   2.8e-29   1.5e-25   89.1   0.0     1    91   339   425   339   425 0.96 Mur ligase family, glutamate ligase domain
-Mur_ligase           PF01225.23    88 83                   -            495     1e-12   48.0   0.7   1   1   1.3e-15   7.1e-12   45.4   0.3     5    88    25   102    22   102 0.93 Mur ligase family, catalytic domain
-Mur_ligase_M         PF08245.10   192 84                   -            452   2.4e-52  177.6   0.0   1   1   8.2e-56   4.5e-52  176.7   0.0     2   191   106   292   105   293 0.98 Mur ligase middle domain
-Mur_ligase_C         PF02875.19    91 84                   -            452   3.6e-16   59.1   0.0   1   1   3.2e-19   1.8e-15   56.8   0.0     1    82   313   394   313   403 0.93 Mur ligase family, glutamate ligase domain
-Mur_ligase           PF01225.23    88 84                   -            452   6.7e-10   39.0   0.0   1   1   5.6e-13     3e-09   36.9   0.0     4    53    26    80    23   105 0.79 Mur ligase family, catalytic domain
-Glycos_transf_4      PF00953.19   160 85                   -            360     9e-34  116.6  16.1   1   1   1.1e-37     9e-34  116.6  16.1     2   159    99   284    98   285 0.91 Glycosyl transferase family 4
-MraY_sig1            PF10555.7     13 85                   -            360   9.1e-06   24.8   3.3   1   1   1.1e-09   9.1e-06   24.8   3.3     1    13    68    80    68    80 0.97 Phospho-N-acetylmuramoyl-pentapeptide-transferase signature 1
-Mur_ligase_M         PF08245.10   192 86                   -            438     3e-29  102.3   0.1   1   1   5.9e-33   4.8e-29  101.6   0.1     1   192   110   280   110   280 0.84 Mur ligase middle domain
-Mur_ligase_C         PF02875.19    91 86                   -            438     3e-11   43.3   0.0   1   1   2.2e-14   1.8e-10   40.8   0.0     2    81   301   373   300   379 0.88 Mur ligase family, glutamate ligase domain
-FTSW_RODA_SPOVE      PF01098.17   359 87                   -            414  3.5e-131  437.4  23.8   1   1  2.5e-135  4.1e-131  437.1  23.8     2   358    47   402    46   403 0.99 Cell cycle protein
-Glyco_transf_28      PF03033.18   139 88                   -            355   2.7e-49  166.6   0.2   1   1   1.3e-52   5.4e-49  165.7   0.2     2   138     9   145     8   146 0.99 Glycosyltransferase family 28 N-terminal domain
-Glyco_tran_28_C      PF04101.14   167 88                   -            355   4.2e-37  127.5   0.1   1   1   1.5e-40     6e-37  127.0   0.1     2   166   185   344   184   346 0.91 Glycosyltransferase family 28 C-terminal domain
-Glyco_transf_4       PF13439.4    170 88                   -            355   2.1e-08   34.2   0.1   1   1   2.3e-11   9.6e-08   32.1   0.1    10   107    24   129    15   166 0.77 Glycosyltransferase Family 4
-Mur_ligase           PF01225.23    88 89                   -            491   3.9e-30  103.9   0.3   1   1   1.7e-33     9e-30  102.7   0.3     1    86    21   118    21   120 0.98 Mur ligase family, catalytic domain
-Mur_ligase_M         PF08245.10   192 89                   -            491   3.9e-28   98.6   0.0   1   1     1e-31   5.7e-28   98.1   0.0     1   192   124   304   124   304 0.91 Mur ligase middle domain
-Mur_ligase_C         PF02875.19    91 89                   -            491   5.1e-20   71.4   0.0   1   1   3.1e-23   1.7e-19   69.7   0.0     4    89   327   418   324   420 0.85 Mur ligase family, glutamate ligase domain
-Dala_Dala_lig_C      PF07478.11   204 90                   -            306   2.4e-72  242.6   0.0   1   1   7.3e-76     3e-72  242.3   0.0     1   204   103   303   103   303 0.99 D-ala D-ala ligase C-terminus
-Dala_Dala_lig_N      PF01820.19    80 90                   -            306   3.3e-21   75.1   0.1   1   1   1.5e-24   6.2e-21   74.2   0.1     1    80     4    86     4    86 0.86 D-ala D-ala ligase N-terminus
-CPSase_L_D2          PF02786.15   211 90                   -            306   1.2e-07   31.3   0.0   1   1   1.6e-10   6.5e-07   28.9   0.0    27   179   127   274    96   301 0.82 Carbamoyl-phosphate synthase L chain, ATP binding domain
-FtsQ                 PF03799.13   114 91                   -            276     1e-27   97.1   0.1   1   1     2e-31   1.6e-27   96.4   0.1     1   114   130   247   130   247 0.88 Cell division protein FtsQ
-POTRA_1              PF08478.8     69 91                   -            276   6.4e-20   71.1   0.1   1   1   1.7e-23   1.4e-19   70.0   0.1     2    69    56   126    55   126 0.97 POTRA domain, FtsQ-type
-FtsA                 PF14450.4    103 92                   -            420     4e-34  117.0   1.3   1   1   2.3e-28   9.3e-25   86.9   0.0     1   103   207   381   207   381 0.90 Cell division protein FtsA
-SHS2_FTSA            PF02491.18    79 92                   -            420   2.3e-30  104.7   2.2   1   1   1.2e-33   4.8e-30  103.7   2.2     1    79    85   162    85   162 0.99 SHS2 domain inserted in FTSA
-PilM_2               PF11104.6    340 92                   -            420   2.7e-10   39.7   0.4   1   1   1.6e-10   6.4e-07   28.6   0.1   107   237   133   261    12   265 0.74 Type IV pilus assembly protein PilM;
-MreB_Mbl             PF06723.11   327 92                   -            420   5.6e-10   38.4   0.2   1   1   1.4e-13   5.6e-10   38.4   0.2   144   304   203   359   162   370 0.77 MreB/Mbl protein
-Tubulin              PF00091.23   197 93                   -            383     3e-42  144.9   0.6   1   1   5.3e-46   4.3e-42  144.4   0.6     2   196    13   172    12   173 0.98 Tubulin/FtsZ family, GTPase domain
-FtsZ_C               PF12327.6     95 93                   -            383   7.8e-38  128.6   1.2   1   1   2.9e-41   2.3e-37  127.0   1.2     1    94   221   315   221   316 0.99 FtsZ family, C-terminal domain
-LpxC                 PF03331.11   270 94                   -            305  7.1e-109  363.3   0.0   1   1    5e-113  8.2e-109  363.1   0.0     1   269     4   276     4   277 0.98 UDP-3-O-acyl N-acetylglycosamine deacetylase
-SecM                 PF06558.10   146 95                   -            195   1.1e-53  181.1   1.2   1   1     8e-58   1.3e-53  180.9   1.2     1   145    49   192    49   193 0.97 Secretion monitor precursor protein (SecM)
-SecA_DEAD            PF07517.12   290 96                   -            901  4.9e-132  439.4   0.3   1   1  2.2e-135  9.1e-132  438.6   0.3     2   290     7   402     6   402 0.97 SecA DEAD-like domain
-SecA_SW              PF07516.11   199 96                   -            901   7.4e-69  231.7   5.3   1   1   1.8e-72   7.4e-69  231.7   5.3     1   199   617   830   617   830 0.97 SecA Wing and Scaffold domain
-SecA_PP_bind         PF01043.18   111 96                   -            901   6.6e-40  136.1   0.2   1   1   4.1e-43   1.7e-39  134.8   0.2     2   111   232   358   231   358 0.93 SecA preprotein cross-linking domain
-SEC-C                PF02810.13    19 96                   -            901   5.8e-11   42.0   9.7   1   1   2.3e-14   9.5e-11   41.3   9.7     1    19   881   899   881   899 0.98 SEC-C motif
-NUDIX                PF00293.26   131 97                   -            129     3e-21   75.7   0.8   1   1   4.5e-25   3.7e-21   75.4   0.8     3   130     5   125     3   126 0.80 NUDIX domain
-NUDIX_4              PF14815.4    110 97                   -            129     1e-13   51.0   0.1   1   1   1.4e-17   1.2e-13   50.9   0.1     1   109     7   124     7   125 0.84 NUDIX domain
-DUF329               PF03884.12    52 98                   -             65   4.7e-25   86.9   2.1   1   1   3.4e-29   5.5e-25   86.7   2.1     1    49     7    55     7    62 0.92 Domain of unknown function (DUF329)
-DUF1342              PF07072.9    210 99                   -            247   1.4e-78  263.4   0.4   1   1   9.5e-83   1.6e-78  263.2   0.4     1   210    19   225    19   225 1.00 Protein of unknown function (DUF1342)
-CoaE                 PF01121.18   179 100                  -            206   1.1e-77  259.6   0.3   1   1   1.8e-81   1.4e-77  259.2   0.3     1   175     3   177     3   180 0.99 Dephospho-CoA kinase
-IMPDH                PF00478.23   345 101                  -            347   4.3e-78  262.6   0.5   1   1   3.3e-82   5.4e-78  262.3   0.5     2   336     9   338     8   342 0.91 IMP dehydrogenase / GMP reductase domain
-T2SSF                PF00482.21   125 102                  -            400     5e-56  187.9   2.0   1   2   2.5e-33   4.1e-29  100.9   0.3     2   125    64   186    63   186 0.98 Type II secretion system (T2SS), protein F
-T2SSF                PF00482.21   125 102                  -            400     5e-56  187.9   2.0   2   2   6.7e-29   1.1e-24   86.6   0.1     4   125   269   388   266   388 0.98 Type II secretion system (T2SS), protein F
-T2SSE                PF00437.18   273 103                  -            461   7.9e-88  293.9   0.7   1   1   1.3e-91   1.1e-87  293.5   0.7     4   272    89   353    86   354 0.98 Type II/IV secretion system protein
-T2SSE_N              PF05157.13   109 103                  -            461   1.2e-05   25.4   0.0   1   1   4.4e-09   3.6e-05   23.9   0.0    43   104     8    68     6    73 0.92 Type II secretion system (T2SS), protein E, N-terminal domain
-N_methyl             PF07963.10    27 104                  -            146   7.2e-11   41.0   1.5   1   1   8.3e-15   1.3e-10   40.2   1.5     1    25     1    25     1    27 0.93 Prokaryotic N-terminal methylation motif
-QRPTase_C            PF01729.17   169 105                  -            297   3.1e-63  212.4   0.1   1   1     5e-67   4.1e-63  212.0   0.1     1   169   131   295   131   295 0.99 Quinolinate phosphoribosyl transferase, C-terminal domain
-QRPTase_N            PF02749.14    88 105                  -            297   1.2e-24   86.0   0.0   1   1     6e-28   4.9e-24   84.0   0.0     4    88    43   129    41   129 0.98 Quinolinate phosphoribosyl transferase, N-terminal domain
-Amidase_2            PF01510.23   121 106                  -            183   1.6e-25   89.8   0.0   1   1   1.2e-29   1.9e-25   89.5   0.0    19   121    53   167    24   167 0.79 N-acetylmuramoyl-L-alanine amidase
-AmpE                 PF17113.3    284 107                  -            284  7.6e-159  527.4  12.2   1   1  5.2e-163  8.5e-159  527.2  12.2     1   284     1   284     1   284 1.00 Regulatory signalling modulator protein AmpE
-AA_permease          PF00324.19   479 108                  -            456  9.7e-132  439.8  46.6   1   1  1.3e-135  1.1e-131  439.7  46.6     1   476    18   453    18   456 0.99 Amino acid permease
-AA_permease_2        PF13520.4    425 108                  -            456   7.1e-44  150.2  50.1   1   1   1.1e-47   8.9e-44  149.8  50.1     8   416    21   430    17   443 0.88 Amino acid permease
-GntR                 PF00392.19    64 109                  -            254   6.4e-26   89.6   0.4   1   1   1.8e-29   1.5e-25   88.5   0.4     2    64    12    74    11    74 0.97 Bacterial regulatory proteins, gntR family
-FCD                  PF07729.10   125 109                  -            254   1.3e-17   64.3  11.1   1   1   2.9e-21   2.4e-17   63.4  11.1     1   124    99   226    99   227 0.91 FCD domain
-Transketolase_N      PF00456.19   334 110                  -            887   3.6e-16   58.9   0.0   1   1   7.1e-14   1.2e-09   37.5   0.0    23   216   106   296    79   305 0.73 Transketolase, thiamine diphosphate binding domain
-2-oxoacid_dh         PF00198.21   233 111                  -            630   1.7e-79  266.4   0.0   1   1   1.2e-82   2.4e-79  265.9   0.0     3   232   399   629   397   630 0.98 2-oxoacid dehydrogenases acyltransferase (catalytic domain)
-Biotin_lipoyl        PF00364.20    73 111                  -            630   5.7e-67  221.4  35.3   1   3   8.6e-25   1.8e-21   75.6   6.6     2    72     4    73     3    74 0.97 Biotin-requiring enzyme
-Biotin_lipoyl        PF00364.20    73 111                  -            630   5.7e-67  221.4  35.3   2   3   3.1e-26   6.2e-23   80.3   5.6     2    72   107   176   106   177 0.97 Biotin-requiring enzyme
-Biotin_lipoyl        PF00364.20    73 111                  -            630   5.7e-67  221.4  35.3   3   3     2e-25   4.1e-22   77.6   7.1     1    72   207   277   207   278 0.97 Biotin-requiring enzyme
-E3_binding           PF02817.15    36 111                  -            630   6.4e-16   58.3   0.1   1   1     1e-18   2.1e-15   56.6   0.1     1    36   327   362   327   362 0.98 e3 binding domain
-Pyr_redox_2          PF07992.12   292 112                  -            474   2.7e-63  213.8   4.1   1   1   2.1e-66   3.7e-63  213.3   4.1     2   292     8   328     7   328 0.91 Pyridine nucleotide-disulphide oxidoreductase
-Pyr_redox_dim        PF02852.20   110 112                  -            474   1.6e-35  121.5   0.0   1   1   2.3e-38   4.1e-35  120.2   0.0     1   109   347   455   347   456 0.98 Pyridine nucleotide-disulphide oxidoreductase, dimerisation domain
-Pyr_redox            PF00070.25    81 112                  -            474   2.8e-18   66.1   4.6   1   1   9.3e-19   1.7e-15   57.2   0.8     1    78   177   252   177   256 0.94 Pyridine nucleotide-disulphide oxidoreductase
-FAD_oxidored         PF12831.5    433 112                  -            474     2e-08   33.9   0.3   1   1   2.1e-11   3.8e-08   33.0   0.3     1    38     8    45     8    65 0.92 FAD dependent oxidoreductase
-GIDA                 PF01134.20   392 112                  -            474   2.1e-08   33.6   1.1   1   1   8.1e-11   1.5e-07   30.8   0.6     1    60     8    70     8    83 0.91 Glucose inhibited division protein A
-FAD_binding_2        PF00890.22   417 112                  -            474   7.7e-06   25.1   0.8   1   1   4.2e-08   7.6e-05   21.8   0.2     2    35     9    42     8    47 0.91 FAD binding domain
-DUF3300              PF11737.6    227 113                  -            617   6.4e-82  274.4   6.4   1   1   3.9e-86   6.4e-82  274.4   6.4     2   205    75   344    74   367 0.89 Protein of unknown function (DUF3300)
-Aconitase_2_N        PF06434.11   204 114                  -            865   2.8e-98  327.5   0.0   1   1  7.4e-102     4e-98  326.9   0.0     1   204   168   382   168   382 0.99 Aconitate hydratase 2 N-terminus
-Aconitase_B_N        PF11791.6    153 114                  -            865     5e-69  231.1   0.1   1   1   1.8e-72   9.8e-69  230.2   0.1     1   153     4   156     4   156 1.00 Aconitate B N-terminal domain
-Aconitase            PF00330.18   462 114                  -            865   1.7e-41  142.5   0.0   1   1   1.1e-43   6.1e-40  137.4   0.0   102   462   472   818   409   818 0.85 Aconitase family (aconitate hydratase)
-UPF0231              PF06062.9    121 115                  -            120   7.7e-43  145.5   2.1   1   1   5.3e-47   8.6e-43  145.3   2.1     1   121     1   117     1   117 0.98 Uncharacterised protein family (UPF0231)
-AdoMet_dc            PF02675.13   106 116                  -            264     8e-31  106.3   0.0   1   1   1.4e-34   2.4e-30  104.8   0.0     5   106    33   169    32   169 0.99 S-adenosylmethionine decarboxylase
-Spermine_synth       PF01564.15   247 117                  -            288   1.3e-88  296.0   0.1   1   1   2.3e-92   1.8e-88  295.5   0.1     2   239     7   239     4   246 0.97 Spermine/spermidine synthase
-T2SS_PulS_OutS       PF09691.8    107 118                  -            115   1.4e-08   34.7   0.0   1   1     1e-12   1.7e-08   34.4   0.0    18   101    24   106    15   112 0.85 Type II secretion system pilotin lipoprotein (PulS_OutS)
-#
-# Program:         hmmscan
-# Version:         3.1b1 (May 2013)
-# Pipeline mode:   SCAN
-# Query file:      aa_sequences_02.fa
-# Target file:     /workspace/meren/PFAM/Pfam-A.hmm
-# Option settings: hmmscan --domtblout aa_sequences_02.pfam --cut_ga --cpu 20 /workspace/meren/PFAM/Pfam-A.hmm aa_sequences_02.fa 
-# Current dir:     /users/meren
-# Date:            Wed Oct 12 10:53:10 2016
-# [ok]
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_03.fa b/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_03.fa
deleted file mode 100644
index 19a5146b94..0000000000
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_03.fa
+++ /dev/null
@@ -1,234 +0,0 @@
->0
-MRVLKFGGTSVANAERFLRVADILESNARQGQVATVLSAPAKITNHLVAMIEKTISGQDALPNISDAERIFAELLTGLAAAQPGFPLAQLKTFVDQEFAQIKHVLHGISLLGQCPDSINAALICRGEKMSIAIMAGVLEARGHNVTVIDPVEKLLAVGHYLESTVDIAESTRRIAASRIPADHMVLMAGFTAGNEKGELVVLGRNGSDYSAAVLAACLRADCCEIWTDVDGVYTCDPRQVPDARLLKSMSYQEAMELSYFGAKVLHPRTITPIAQFQIPCLIKNTGNPQAPGTLIGASRDEDELPVKGISNLNNMAMFSVSGPGMKGMVGMAARVFAAMSRARISVVLITQSSSEYSISFCVPQSDCVRAERAMQEEFYLELKEGLLEPLAVTERLAIISVVGDGMRTLRGISAKFFAALARANINIVAIAQGSSERSISVVVNNDDATTGVRVTHQMLFNTDQVIEVFVIGVGGVGGALLEQLKRQQSWLKNKHIDLRVCGVANSKALLTNVHGLNLENWQEELAQAKEPFNLGRLIRLVKEYHLLNPVIVDCTSSQAVADQYADFLREGFHVVTPNKKANTSSMDYYHLLRHAAEKSRRKFLYDTNVGAGLPVIENLQNLLNAGDELMKFSGILSGSLSYIFGKLDEGMSFSEATTLAREMGYTEPDPRDDLSGMDVARKLLILARETGRELELADIEIEPVLPAEFNAEGDVAAFMANLSQLDDLFAARVAKARDEGKVLRYVGNIDEDGACRVKIAEVDGNDPLFKVKNGENALAFYSHYYQPLPLVLRGYGAGNDVTAAGVFADLLRTLSWKLGV
->1
-MVKVYAPASSANMSVGFDVLGAAVTPVDGALLGDVVTVEAAETFSLNNLGRFADKLPSEPRENIVYQCWERFCQELGKQIPVAMTLEKNMPIGSGLGSSACSVVAALMAMNEHCGKPLNDTRLLALMGELEGRISGSIHYDNVAPCFLGGMQLMIEENDIISQQVPGFDEWLWVLAYPGIKVSTAEARAILPAQYRRQDCIAHGRHLAGFIHACYSRQPELAAKLMKDVIAEPYRERLLPGFRQARQAVAEIGAVASGISGSGPTLFALCDKPDTAQRVADWLGKNYLQNQEGFVHICRLDTAGARVLEN
->2
-MKLYNLKDHNEQVSFAQAVTQGLGKNQGLFFPHDLPEFSLTEIDEMLKLDFVTRSAKILSAFIGDEIPQEILEERVRAAFAFPAPVANVESDVGCLELFHGPTLAFKDFGGRFMAQMLTHIAGDKPVTILTATSGDTGAAVAHAFYGLPNVKVVILYPRGKISPLQEKLFCTLGGNIETVAIDGDFDACQALVKQAFDDEELKVALGLNSANSINISRLLAQICYYFEAVAQLPQEARNQLVVSVPSGNFGDLTAGLLAKSLGLPVKRFIAATNVNDTVPRFLHDGQWSPKATQATLSNAMDVSQPNNWPRVEELFRRKIWQLKELGYAAVDDETTQQTMRELKELGYTSEPHAAVAYRALRDQLNPGEYGLFLGTAHPAKFKESVEAILGETLDLPKELAERADLPLLSHNLPADFAALRKLMMNHQ
->3
-MKKMQSIVLALSLVLVAPMAAQAAEITLVPSVKLQIGDRDNRGYYWDGGHWRDHGWWKQHYEWRGNRWHPHGPPPPPRHHKKAPHDHHGGHGPGKHHR
->4
-MLILISPAKTLDYQSPLTTMRYTLPELLDNSQQLIHEARKLTPPQISTLMRISDKLAGINAARFHDWQPDFTPENARQAILAFKGDVYTGLQAETFSEDDFDFAQQHLRMLSGLYGVLRPLDLMQPYRLEMGIRLENARGKDLYQFWGDIITNKLNEALAAQGDNVVINLASDEYFKSVKPKKLNAEIIKPVFLDEKNGKFKIISFYAKKARGLMSRFIIENRLTKPEQLTGFNSEGYFFDEDSSSNGELVFKRYEQR
->5
-MPDFFSFINSVLWGSVMIYLLFGAGCWFTFRTGFVQFRYIRQFGKSLKNSIHPQPGGLTSFQSLCTSLAARVGSGNLAGVALAITAGGPGAVFWMWVAAFIGMATSFAECSLAQLYKERDVNGQFRGGPAWYMARGLGMRWMGVLFAVFLLIAYGIIFSGVQANAVARALSFSFDFPPLVTGIILAVFALLAITRGLHGVARLMQGFVPLMAIIWVLTSLVICVMNIGQLPHVIWSIFESAFGWQEAAGGAAGYTLSQAITNGFQRSMFSNEAGMGSTPNAAAAAASWPPHPAAQGIVQMIGIFIDTLVICTASAMLILLAGNGTTYMPLEGIQLIQKAMRVLMGSWGAEFVTLVVILFAFSSIVANYIYAENNLFFLRLNNPKAIWCLRICTFATVIGGTLLSLPLMWQLADIIMACMAITNLTAILLLSPVVHTIASDYLRQRKLGVRPVFDPLRYPDIGRQLSPDAWDDVSQE
->6
-MTDKLTSLRQYTTVVADTGDIAAMKLYQPQDATTNPSLILNAAQIPEYRKLIDDAVAWAKQQSNDRAQQIVDATDKLAVNIGLEILKLVPGRISTEVDARLSYDTEASIAKAKRLIKLYNDAGISNDRILIKLASTWQGIRAAEQLEKEGINCNLTLLFSFAQARACAEAGVFLISPFVGRILDWYKANTDKKEYAPAEDPGVVSVSEIYQYYKEHGYETVVMGASFRNIGEILELAGCDRLTIAPALLKELAESEGAIERKLSYTGEVKARPARITESEFLWQHNQDPMAVDKLAEGIRKFAIDQEKLEKMIGDLL
->7
-MNTLRIGLVSISDRASSGVYQDKGIPALEEWLTSALTTPFELETRLIPDEQAIIEQTLCELVDEMSCHLVLTTGGTGPARRDVTPDATLAVADREMPGFGEQMRQISLHFVPTAILSRQVGVIRKQALILNLPGQPKSIKETLEGVKDAAGNVVVHGIFASVPYCIQLLEGPYVETAPEVVAAFRPKSARRDVSE
->8
-MGNTKLANPAPLGLMGFGMTTILLNLHNVGYFALDGIILAMGIFYGGIAQIFAGLLEYKKGNTFGLTAFTSYGSFWLTLVAILLMPKLGLTDAPNAQFLGVYLGLWGVFTLFMFFGTLKGARVLQFVFFSLTVLFALLAIGNIAGNAAIIHFAGWIGLICGASAIYLAMGEVLNEQFGRTVLPIGESH
->9
-MNVNYLNDSDLDFLQHCSEEQLANFARLLTHNEKGKTRLSSVLMRNELFKSMEGHPEQHRRNWQLIAGELQHFGGDSIANKLRGHGKLYRAILLDVSKRLKLKADKEMSTFEIEQQLLEQFLRNTWKNMDEEHKQEFLHAVDARVNELEELLPLLMKDKLLAKGVSHLLSSQLTRILRTHAAMSVLGHGLLRGAGLGGPVGAALNGVKAVSGSAYRVTIPAVLQIACLRRMVSATQV
->10
-MKSVFTISASLAISLMLCCTAQANDHKILGVIAMPRNETNDLALKLPVCRIVKRIQLSADHGDLQLSGASVYFKAARSASQSLNIPSEIKEGQTTDWININSDNDNKRCVSKITFSGHTVNSSDMATLKIIGDD
->11
-MGKIIGIDLGTTNSCVAIMDGTTPRVLENAEGDRTTPSIIAYTQDGETLVGQPAKRQAVTNPQNTLFAIKRLIGRRFQDEEVQRDVSIMPFKIIAADNGDAWVEVKGQKMAPPQISAEVLKKMKKTAEDYLGEPVTEAVITVPAYFNDAQRQATKDAGRIAGLEVKRIINEPTAAALAYGLDKGTGNRTIAVYDLGGGTFDISIIEIDEVDGEKTFEVLATNGDTHLGGEDFDSRLINYLVEEFKKDQGIDLRNDPLAMQRLKEAAEKAKIELSSAQQTDVNLPYITADATGPKHMNIKVTRAKLESLVEDLVNRSIEPLKVALQDAGLSVSDIDDVILVGGQTRMPMVQKKVAEFFGKEPRKDVNPDEAVAIGAAVQGGVLTGDVKDVLLLDVTPLSLGIETMGGVMTTLIAKNTTIPTKHSQVFSTAEDNQSAVTIHVLQGERKRAADNKSLGQFNLDGINPAPRGMPQIEVTFDIDADGILHVSAKDKNSGKEQKITIKASSGLNEDEIQKMVRDAEANAEADRKFEELVQTRNQGDHLLHSTRKQVEEAGDKLPADDKTAIESALTALETALKGEDKAAIEAKMQELAQVSQKLMEIAQQQHAQQQTAGADASANNAKDDDVVDAEFEEVKDKK
->12
-MAKQDYYEILGVSKTAEEREIKKAYKRLAMKYHPDRNQGDKEAEAKFKEIKEAYEVLTDSQKRAAYDQYGHAAFEQGGMGGGADFSDIFGDVFGDIFGGGRGRQRAARGADLRYNMELTLEEAVRGVTKEIRIPTLEECDVCHGSGAKPGTQPQTCPTCHGSGQVQMRQGFFAVQQTCPHCQGRGTLIKDPCNKCHGHGRVERSKTLSVKIPAGVDTGDRIRLAGEGEAGEHGAPAGDLYVQVQVKQHPIFEREGNNLYCEVPINFAMAALGGEIEVPTLDGRVKLKVPGETQTGKLFRMRGKGVKSVRGGAQGDLLCRVVVETPVGLNEKQKQLLQELQESFGGPTGEHNSPRSKSFFDGVKKFFDDLTR
->13
-MLNTCRVPLTDRKVKEKRAMKQHKAMIVALIVICITAVVAALVTRKDLCEVHIRTGQTEVAVFTAYESE
->14
-MKHLHRFFSSDASGGIILIIAAILAMIMANSGATSGWYHDFLETPVQLRVGSLEINKNMLLWINDALMAVFFLLVGLEVKRELMQGSLASLRQAAFPVIAAIGGMIVPALLYLAFNYADPITREGWAIPAATDIAFALGVLALLGSRVPLALKIFLMALAIIDDLGAIIIIALFYTNDLSMASLGVAAVAIAVLAVLNLCGVRRTGVYILVGVVLWTAVLKSGVHATLAGVIVGFFIPLKEKHGRSPAKRLEHVLHPWVAYLILPLFAFANAGVSLQGVTLDGLTSILPLGIIAGLLIGKPLGISLFCWLALRLKLAHLPEGTTYQQIMAVGILCGIGFTMSIFIASLAFGSVDPELINWAKLGILVGSISSAVIGYSWLRVRLRPSV
->15
-MSHINYNHLYYFWHVYKEGSVVGAAEALYLTPQTITGQIRALEERLQGKLFKRKGRGLEPSELGELVYRYADKMFTLSQEMLDIVNYRKESNLLFDVGVADALSKRLVSSVLNAAVVEGEPIHLRCFESTHEMLLEQLSQHKLDMIISDCPIDSTQQEGLFSVRIGECGVSFWCTNPPPEKPFPACLEERRLLIPGRRSMLGRKLLNWFNSQGLNVEILGEFDDAALMKAFGAMHNAIFVAPTLYAYDFYADKTVVEIGRVENVMEEYHAIFAERMIQHPAVQRICNTDYSALFSPAAR
->16
-MKWLLLITLSLYSFIVQSAPCALTNVGEQRGTYILKPLSMKGNLTAEKIENTGNIIECTDLQETTNAIKVHFLTQNALRFKVGSRHYIINFPFESDGKKIELPGKSSYNLEEMLSAINFTIPYSIASVSDSSNTADIFPGTPFPLLFEIEVSSCTGNNTNCNSVRFNYNLNTILQVNLMTCGFEDQSIDTGRFVLSRINNENYQFHHIRFDCIQGEQGELVFEPSDVEYYFEPVTIQESGTSILKNELENSEDGAGQIGFQLSNDGTNEIQYGKSNYYSFQHPHEGSNQIPLFIRPRTYGNNVSSGQIMSRVKIVVMYN
->17
-MAAWRYASQDYRTFSDHLYENDKHYHQSDYDDFYDIGRKNSLSANIMQPLSNNLGNVSLSALWRNYWGRSGNAKDYQFSYSNNWQHISYTFSASQSYDENNKEEERFNLFISIPFYWGDDIAKTRHQINLSNSTSFSKDGYSSNNTRITGIAGEHDQLNYGIYVNQQQQNNDTSLGTNLSWRTPIAIIDGSYSHSKNAWQSGGSISSGLVVWPGGINITNQLSDTFAILDAPGLEGAHINGQKYNRTNSKGQVVYDLIIPHRENHLVLDIANSESETELQGNRQIIAPYRGAVSYVQFTTDQRKPWYIQALRPDGSPLTFGYDVLDLQENNIGVVGQGSRLFIRVDEIPTGIKVALNDEQNLFCTITFQHVIDENKTYICQ
->18
-MTNGISTSPHCLYKSNIVDDVIINKTRQNELVKVFCEYKTEFLILFDDFFRSHNLPKPSPVLHHFFQYTHLRDAYFYRCKLIEHTVQFYFFKHKGITLLRLDVFDDRTSECLSEEIKIYQECHEKFVNFLKANFNQEIYPQLYTPEIFYEACRNLQSFYDHQETSQNAKYSAIDKKKSHLNQEIKKLIKKNIFPELYNEQCNKIPSSSIDDNQGIMWQNFKTSNIAYSQLCKKLSLFKSIPSRLIKKSAYCSTENTITNKFDVVFSYCGNNVKEFILLLPYNKSLEMHELNEQNIQYLTALNINIHKMLLSNITIEKSDLSYGYYFGCVLPNILCFESDLSNTIFSNGEINNLFIKKSNIFGASFTNTRIKNLLCEDIMPGRWTTQLVNKHLGYRYTGVFKTLASIDDKPSRFEILIPLVQTLVRDNVKLNNDVYKELNKFMHDYDKTSSEMRKYLKSINECMFLMKNIAHQN
->19
-MANIKSAKKRAIQSEKARKHNASRRSMMRTFIKKVYAAIEAGDKAAAQKAFNEMQPIVDRQAAKGLIHKNKAARHKANLTAQINKLA
->20
-MKLIRGIHNLSQAPQEGCVLTIGNFDGVHRGHRALLQGLQEEGRKRNLPVMVMLFEPQPLELFATDKAPARLTRLREKLRYLAECGVDYVLCVRFDRRFAALTAQNFISDLLVKHLRVKFLAVGDDFRFGAGREGDFLLLQKAGMEYGFDITSTQTFCEGGVRISSTAVRQALADDNLALAESLLGHPFAISGRVVHGDELGRTIGFPTANVPLRRQVSPVKGVYAVEVLGLGEKPLPGVANIGTRPTVAGIRQQLEVHLLDVAMDLYGRHIQVVLRKKIRNEQRFASLDELKAQIARDELTAREFFGLTKPA
->21
-MSDYKSTLNLPETGFPMRGDLAKREPGMLARWTDDDLYGIIRAAKKGKKTFILHDGPPYANGSIHIGHSVNKILKDIIVKSKGLSGYDSPYVPGWDCHGLPIELKVEQEYGKPGEKFTAAEFRAKCREYAATQVDGQRKDFIRLGVLGDWSHPYLTMDFKTEANIIRALGKIIGNGHLHKGAKPVHWCVDCRSALAEAEVEYYDKTSPSIDVAFQAVDQDALKAKFAVSNVNGPISLVIWTTTPWTLPANRAISIAPDFDYALVQIDGQAVILAKDLVESVMQRIGVTDYTILGTVKGAELELLRFTHPFMGFDVPAILGDHVTLDAGTGAVHTAPGHGPDDYVIGQKYGLETANPVGPDGTYLPGTYPTLDGVNVFKANDIVVALLQEKGALLHVEKMQHSYPCCWRHKTPIIFRATPQWFVSMDQKGLRAQSLKEIKGVQWIPDWGQARIESMVANRPDWCISRQRTWGVPMSLFVHKDTEELHPRTLELMEEVAKRVEVDGIQAWWDLDAKEILGDEADQYVKVPDTLDVWFDSGSTHSSVVDVRPEFAGHAADMYLEGSDQHRGWFMSSLMISTAMKGKAPYRQVLTHGFTVDGQGRKMSKSIGNTVSPQDVMNKLGADILRLWVASTDYTGEMAVSDEILKRAADSYRRIRNTARFLLANLNGFDPAKDMVKPEEMVVLDRWAVGCAKAAQEDILKAYEAYDFHEVVQRLMRFCSVEMGSFYLDIIKDRQYTAKADSVARRSCQTALYHIAEALVRWMAPILSFTADEVWGYMPGEREKYVFTGEWYEGLFGLADSEAMNDAFWDELLKVRGEVNKVIEQARADKKVGGSLEAAVTLYAEPELAAKLTALGDELRFVLLTSGATVADYNDAPADAQQSEVLKGLKVALSKAEGEKCPRCWHYTQDVGKVAEHAEICGRCVSNVAGDGEKRKFA
->22
-MSQSICSTGLRWLWLVVVVLIIDLGSKYLILQNFALGDTVPLFPSLNLHYARNYGAAFSFLADSGGWQRWFFAGIAIGISVILAVMMYRSKATQKLNNIAYALIIGGALGNLFDRLWHGFVVDMIDFYVGDWHFATFNLADTAICVGAALIVLEGFLPSKAKKQ
->23
-MSESVQSNSAVLVHFTLKLDDGTTAESTRNNGKPALFRLGDASLSEGLEQHLLGLKVGDKTTFSLEPDAAFGVPSPDLIQYFSRREFMDAGEPEIGAIMLFTAMDGSEMPGVIREINGDSITVDFNHPLAGQTVHFDIEVLEIDPALEA
->24
-MQILLANPRGFCAGVDRAISIVENALAIYGAPIYVRHEVVHNRYVVDSLRERGAIFIEQISEVPDGAILIFSAHGVSQAVRNEAKSRDLTVFDATCPLVTKVHMEVARASRRGEESILIGHAGHPEVEGTMGQYSNPEGGMYLVESPDDVWKLTVKNEEKLSFMTQTTLSVDDTSDVIDALRKRFPKIVGPRKDDICYATTNRQEAVRALAEQAEVVLVVGSKNSSNSNRLAELAQRMGKRAFLIDDAKDIQEEWVKEVKCVGVTAGASAPDILVQNVVARLQQLGGGEAIPLEGREENIVFEVPKELRVDIREVD
->25
-MRLPIFLDTDPGIDDAVAIAAAIFAPELDLQLMTTVAGNVSVEKTTRNALQLLHFWNAEIPLAQGAAVPLVRAPRDAASVHGESGMAGYDFVEHNRKPLGIPAFLAIRDALMRAPEPVTLVAIGPLTNIALLLSQCPECKPYIRRLVIMGGSAGRGNCTPNAEFNIAADPEAAACVFRSGIEIVMCGLDVTNQAILTPDYLSTLPQLNRTGKMLHALFSHYRSGSMQSGLRMHDLCAIAWLVRPDLFTLKPCFVAVETQGEFTSGTTVVDIDGCLGKPANVQVALDLDVKGFQQWVAEVLALAS
->26
-MHDANIRVAIAGAGGRMGRQLIQAALALEGVQLGAALEREGSSLLGSDAGELAGAGKTGVTVQSSLDAVKDDFDVFIDFTRPEGTLNHLAFCRQHGKGMVIGTTGFDEAGKQAIRDAAADIAIVFAANFSVGVNVMLKLLEKAAKVMGDYTDIEIIEAHHRHKVDAPSGTALAMGEAIAHALDKDLKDCAVYSREGHTGERVPGTIGFATVRAGDIVGEHTAMFADIGERLEITHKASSRMTFANGAVRSALWLSGKESGLFDMRDVLDLNSL
->27
-MIKSALLVLEDGTQFHGRAIGATGSAVGEVVFNTSMTGYQEILTDPSYSRQIVTLTYPHIGNVGTNDADEESSQVHAQGLVIRDLPLIASNFRNTEDLSSYLKRHNIVAIADIDTRKLTRLLREKGAQNGCIIAGDNPDAALALEKARAFPGLNGMDLAKEVTTAEAYSWTQGSWTLTGGLPEAKKEDELPFHVVAYDFGAKRNILRMLVDRGCRLTIVPAQTSAEDVLKMNPDGIFLSNGPGDPAPCDYAITAIQKFLETDIPVFGICLGHQLLALASGAKTVKMKFGHHGGNHPVKDVEKNVVMITAQNHGFAVDEATLPANLRVTHKSLFDGTLQGIHRTDKPAFSFQGHPEASPGPHDAAPLFDHFIELIEQYRKTAK
->28
-MPKRTDIKSILILGAGPIVIGQACEFDYSGAQACKALREEGYRVILVNSNPATIMTDPEMADATYIEPIHWEVVRKIIEKERPDAVLPTMGGQTALNCALELERQGVLEEFGVTMIGATADAIDKAEDRRRFDVAMKKIGLETARSGIAHTMEEALAVAADVGFPCIIRPSFTMGGSGGGIAYNREEFEEICARGLDLSPTKELLIDESLIGWKEYEMEVVRDKNDNCIIVCSIENFDAMGIHTGDSITVAPAQTLTDKEYQIMRNASMAVLREIGVETGGSNVQFAVNPKNGRLIVIEMNPRVSRSSALASKATGFPIAKVAAKLAVGYTLDELMNDITGGRTPASFEPSIDYVVTKIPRFNFEKFAGANDRLTTQMKSVGEVMAIGRTQQESLQKALRGLEVGETGFDPKVSLDDPEALTKIRRELKDAGAERIWYIADAFRAGLSVDGVFNLTNIDRWFLVQIEELVRLEEKVAEVGITGLNAEFLRQLKRKGFADARLAKLAGVREAEIRKLRDQYDLHPVYKRVDTCAAEFATDTAYMYSTYEEECEANPSTDREKIMVLGGGPNRIGQGIEFDYCCVHASLALREDGYETIMVNCNPETVSTDYDTSDRLYFEPVTLEDVLEIVRIEKPKGVIVQYGGQTPLKLARALEAAGVPVIGTSPDAIDRAEDRERFQHAVERLKLKQPANATVTAIEMAVEKAKEIGYPLVVRPSYVLGGRAMEIVYDEADLRRYFQTAVSVSNDAPVLLDHFLDDAVEVDVDAICDGEMVLIGGIMEHIEQAGVHSGDSACSLPAYTLSQEIQDVMRQQVQKLAFELQVRGLMNVQFAVKNNEVYLIEVNPRAARTVPFVSKATGVPLAKVAARVMAGKSLAEQGVTKEVIPPYYSVKEVVLPFNKFPGVDPLLGPEMRSTGEVMGVGRTFAEAFAKAQLGSNSTMKKHGRALLSVREGDKERVVDLAAKLLKQGFELDATHGTAIVLGEAGINPRLVNKVHEGRPHIQDRIKNGEYTYIINTTSGRRAIEDSRVIRRSALQYKVHYDTTLNGGFATAMALNADATEKVISVQEMHAQIK
->29
-MTRFEAIKQGHIKIVDISIVCNFTVDKCELNPAYVIKNIDSPKDLLNGQKKRSSSENRITYSIKLADEKYPP
->30
-MCEGYVEKPLYLLIAEWMMAENRWVIAREISIHFDIEHSKAVNTLTYILSEVAEISCEVKMIPNKLEGRGCQCQRLVKVVDIDEQIYARLRNNSRDKLVGVRKTPRIPAVPLTELNREQKWQMMLSKSMRR
->31
-MSYYAFEGLIPVVHPTAFVHPSAVLIGDVIVGAGVYIGPLASLRGDYGRLIVQAGANIQDGCIMHGYCDTDTIVGENGHIGHGAILHGCVIGRDALVGMNSVIMDGAVIGEESIVAAMSFVKAGFHGEKRQLLMGTPARAVRSVSDDELHWKRLNTKEYQDLVGRCHASLHETQPLRQMEENRPRLQGTTDVTPKR
->32
-MSESLHLTRNGSILEITLDRPKANAIDAKTSFEMGEVFLNFRDDPQLRVAIITGAGEKFFSAGWDLKAAAEGEAPDADFGPGGFAGLTEIFNLDKPVIAAVNGYAFGGGFELALAADFIVCADNASFALPEAKLGIVPDSGGVLRLPKILPPAIVNEMVMTGRRMGAEEALRWGIVNRVVSQAELMDNARELAQQLVNSAPLAIAALKEIFRTTSEMPVEEAYRYIRSGVLKHYPSVLHSEDAIEGPLAFAEKRDPVWKGR
->33
-MDIIGGQHLRQMWDDLADVYGHKTALICESSGGVVNRYSYLELNQEINRTANLFYTLGIRKGDKVALHLDNCPEFIFCWFGLAKIGAIMVPINARLLREESAWILQNSQACLLVTSAQFYPMYQQIQQEDATQLRHICLTDVALPADDGVSSFTQLKNQQPATLCYAPPLLTDDTAEILFTSGTTSRPKGVVITHYNLRFAGYYSAWQCALRDDDVYLTVMPAFHIDCQCTAAMAAFSAGATFVLVEKYSARAFWGQVQKYRATITECIPMMIRTLMVQPPSANDRQHRLREVMFYLNLSEQEKDAFCERFGVRLLTSYGMTETIVGIIGDRPGDKRRWPSIGRAGFCYEAEIRDDHNRPLPAGEIGEICIKGVPGKTIFKEYFLNPKATAKVLEADGWLHTGDTGYCDEEGFFYFVDRRCNMIKRGGENVSCVELENIIATHPKIQDIVVVGIKDSIRDEAIKAFVVLNEGETLSEEEFFRFCEQNMAKFKVPSYLEIRKDLPRNCSGKIIRKNLK
->34
-MDHLPMPKFGPLAGLRVVFSGIEIAGPFAGQMFAEWGAEVIWIENVAWADTIRVQPNYPQLSRRNLHALSLNIFKDEGREAFLKLMETTDIFIEASKGPAFARRGITDEVLWQHNPKLVIAHLSGFGQYGTEEYTNLPAYNTIAQAFSGYLIQNGDVDQPMPAFPYTADYFSGLTATTAALAALHKVRETGKGESIDIAMYEVMLRMGQYFMMDYFNGGEMCPRMSKGKDPYYAGCGLYKCADGYIVMELVGITQIEECFKDIGLAHLLGTPEIPEGTQLIHRIECPYGPLVEEKLDAWLAAHTIAEVKERFAELNIACAKVLTVPELESNPQYVARESITQWQTMDGRTCKGPNIMPKFKNNPGQIWRGMPSHGMDTAAILKNIGYSENDIQELVSKGLAKVED
->35
-MDFNLNDEQELFVAGIRELMASENWEAYFAECDRDSVYPERFVKALADMGIDSLLIPEEHGGLDAGFVTLAAVWMELGRLGAPTYVLYQLPGGFNTFLREGTQEQIDKIMAFRGTGKQMWNSAITEPGAGSDVGSLKTTYTRRNGKIYLNGSKCFITSSAYTPYIVVMARDGASPDKPVYTEWFVDMSKPGIKVTKLEKLGLRMDSCCEITFDDVELDEKDMFGREGNGFNRVKEEFDHERFLVALTNYGTAMCAFEDAARYANQRVQFGEAIGRFQLIQEKFAHMAIKLNSMKNMLYEAAWKADNGTITSGDAAMCKYFCANAAFEVVDSAMQVLGGVGIAGNHRISRFWRDLRVDRVSGGSDEMQILTLGRAVLKQYR
->36
-MKNEKRKTGIEPKVFFPPLIIVGILCWLTVRDLDAANVVINAVFSYVTNVWGWAFEWYMVVMLFGWFWLVFGPYAKKRLGNEPPEFSTASWIFMMFASCTSAAVLFWGSIEIYYYISTPPFGLEPNSTGAKELGLAYSLFHWGPLPWATYSFLSVAFAYFFFVRKMEVIRPSSTLVPLVGEKHAKGLFGTIVDNFYLVALIFAMGTSLGLATPLVTECMQWLFGIPHTLQLDAIIITCWIILNAICVACGLQKGVRIASDVRSYLSFLMLGWVFIVSGASFIMNYFTDSVGMLLMYLPRMLFYTDPIAKGGFPQGWTVFYWAWWVIYAIQMSIFLARISRGRTVRELCFGMVLGLTASTWILWTVLGSNTLLLIDKNIINIPNLIEQYGVARAIIETWAALPLSTATMWGFFILCFIATVTLVNACSYTLAMSTCREVRDGEEPPLLVRIGWSILVGIIGIVLLALGGLKPIQTAIIAGGCPLFFVNIMVTLSFIKDAKQNWKD
->37
-MKIITCYKCVPDEQDIAVNNADGSLDFSKADAKISQYDLNAIEAACQLKQQAAEAQVTALSVGGKALTNAKGRKDVLSRGPDELIVVIDDQFEQALPQQTASALAAAAQKAGFDLILCGDGSSDLYAQQVGLLVGEILNIPAVNGVSKIISLTADTLTVERELEDETETLSIPLPAVVAVSTDINSPQIPSMKAILGAAKKPVQVWSAADIGFNAVDAWSEQQVAAPKQRERQRIVIEGDGEEQIAAFAENLRKVI
->38
-MNTFSQVWVFSDTPSRLPELMNGAQALANQINTFVLNDADGVQAIQLGANHVWKLNGKPDDRMIEDYAGVMADTIRQHGADGLVLLPNTRRGKLLAAKLGYRLKAAVSNDASTVSVQDGKATVKHMVYGGLAIGEERIATPYAVLTISSGTFDAAQPDASRTGETHTVEWQAPAVAITRTATQARQSNSVDLDKARLVVSVGRGIGSKENIALAEQLCKAIGAELACSRPVAENEKWMEHERYVGISNLMLKPELYLAVGISGQIQHMVGANASQTIFAINKDKNAPIFQYADYGIVGDAVKILPALTAALAR
->39
-MSEDIFDAIIVGAGLAGSVAALVLAREGAQVLVIERGNSAGAKNVTGGRLYAHSLEHIIPGFADSAPVERLITHEKLAFMTEKSAMTMDYCNGDETSPSQRSYSVLRSKFDAWLMEQAEEAGAQLITGIRVDNLVQRDGKVVGVEADGDVIEAKTVILADGVNSILAEKLGMAKRVKPTDVAVGVKELIELPKSVIEDRFQLQGNQGAACLFAGSPTDGLMGGGFLYTNENTLSLGLVCGLHHLHDAKKSVPQMLEDFKQHPAVAPLIAGGKLVEYSAHVVPEAGINMLPELVGDGVLIAGDAAGMCMNLGFTIRGMDLAIAAGEAAAKTVLSAMKSDDFSKQKLAEYRQHLESGPLRDMRMYQKLPAFLDNPRMFSGYPELAVGVARDLFTIDGSAPELMRKKILRHGKKVGFINLIKDGMKGVTVL
->40
-MTSPVNVDVKLGVNKFNVDEEHPHIVVKADADKQALELLVKACPAGLYKKQDDGSVRFDYAGCLECGTCRILGLGSALEQWEYPRGTFGVEFRYG
->41
-MQPSRNFDDLKFSSIHRRILLWGSGGPFLDGYVLVMIGVALEQLTPALKLDADWIGLLGAGTLAGLFVGTSLFGYISDKVGRRKMFLIDIIAIGVISVATMFVSSPVELLVMRVLIGIVIGADYPIATSMITEFSSTRQRAFSISFIAAMWYVGATCADLVGYWLYDVEGGWRWMLGSAAIPCLLILIGRFELPESPRWLLRKGRVKECEEMMIKLFGEPVAFDEEQPQQTRFRDLFNRRHFPFVLFVAAIWTCQVIPMFAIYTFGPQIVGLLGLGVGKNAALGNVVISLFFMLGCIPPMLWLNTAGRRPLLIGSFAMMTLALAVLGLIPDMGIWLVVMAFAVYAFFSGGPGNLQWLYPNELFPTDIRASAVGVIMSLSRIGTIVSTWALPIFINNYGISNTMLMGAGISLFGLLISVAFAPETRGMSLAQTSNMTIRGQRMG
->42
-MILIIYAHPYPHHSHANKRMLEQARTLEGVEIRSLYQLYPDFNIDIAAEQEALSRADLIVWQHPMQWYSIPPLLKLWIDKVFSHGWAYGHGGTALHGKHLLWAVTTGGGESHFEIGAHPGFDVLSQPLQATAIYCGLNWLPPFAMHCTFICDDETLEGQARHYKQRLLEWQEAHHG
->43
-MDSHTLIQALIYLGSAALIVPIAVRLGLGSVLGYLIAGCIIGPWGLRLVTDAESILHFAEIGVVLMLFIIGLELDPQRLWKLRAAVFGGGALQMVICGGLLGLFCMLLGLRWQVAELIGMTLALSSTAIAMQAMNERNLMVTQMGRSAFAVLLFQDIAAIPLVAMIPLLATSSASTTMGAFALSALKVAGALVLVVLLGRYVTRPALRFVARSGLREVFSAVALFLVFGFGLLLEEVGLSMAMGAFLAGVLLASSEYRHALESDIEPFKGLLLGLFFIGVGMSIDFGTLLENPLRIVILLLGFLIIKIAMLWLIARPLQVPNKQRRWFAVLLGQGSEFAFVVFGAAQMANVLEPEWAKSLTLAVALSMAATPILLVILNRLEQSSTEEAREADEIDEEQPRVIIAGFGRFGQITGRLLLSSGVKMVVLDHDPDHIETLRKFGMKVFYGDATRMDLLESAGAAKAEVLINAIDDPQTNLQLTEMVKEHFPHLQIIARARDVDHYIRLRQAGVEKPERETFEGALKTGRLALESLGLGPYEARERADVFRRFNIQMVEEMAMVENDTKARAAVYKRTSAMLSEIITEDREHLSLIQRHGWQGTEEGKHTGNMADEPETKPSS
->44
-MDSPAEYKIFLNIILAPVDDGLRFTYSGDNFFYREISMISLIAALAVDRVIGMENAMPWNLPADLAWFKRNTLNKPVIMGRHTWESIGRPLPGRKNIILSSQPGTDDRVTWVKSVDEAIAACGDVPEIMVIGGGRVYEQFLPKAQKLYLTHIDAEVEGDTHFPDYEPDDWESVFSEFHDADAQNSHSYCFEILERR
->45
-MRQINTGLNTREIILEMIDEADAPPFAEQRTWHRRRIAFLCDCISVAVDYGFFCSVSQQSIMNITKMAEDVWITESKTTQLIDIWQQLKQLYPPETIPYAQKLPTKELLELLLSSPDDLRIIEIPDIIGDVFDDQTWIRLFKKHFADVIQLRCDV
->46
-MADYFEIRADYNQHTITIYQAYNDAIADVAVRDGRFGAPFSFNRMTWIKPSFMWMMERSNWGLKKDQQHILAIRIKRTFFDTLLEQAVLTTPEAHVYPHAGIWETLFAQANVYVQWDPERSINGKKLEHRSLQLGISRNLISQFNEDAIVAIDDLTPLVRKCHNLLINGKTTQAKSFLPPEKIYPVSAAARKALGMKNS
->47
-MATYLIGDVHGCYDELFALLHKVEFTPGKDTLWLTGDLVARGPGSLDVLRYVKSLGDSVRLVLGNHDLHLLAVFAGISRNKPKDRLTPLLEAPDADELLNWLRRQPLLQIDEEKKLVMAHAGITPQWDLQTAKECARDVEAVLSSDSYPFFLDAMYGDMPNNWSPELRGLGRLRFITNAFTRMRFCFPNGQLDMYSKESPEEAPAPLKPWFAIPGPVAEEYSIAFGHWASLEGKGTPEGIYALDTGCCWGGSLTCLRWEDKQYFVQPSNRHKDLGEGEAVAS
->48
-MINSPRVCIQVQSVYIEAQSSPDNERYVFAYTVTIRNLGRTPVQLLGRYWLITNGNGRETEVQGEGVVGVQPLIAPGEEYQYTSGAIIETPLGTMQGHYEMIDENGVPFSIDIPVFRLAVPTLIH
->49
-MNNRVHQGHLARKRFGQNFLNDQFVIDSIVSAINPQKGQAMVEIGPGLAALTEPVGERLDQLTVIELDRDLAARLQTHPFLGPKLTIYQQDAMTFNFGELAEKMGQPLRVFGNLPYNISTPLMFHLFSYTDAIADMHFMLQKEVVNRLVAGPNSKAYGRLSVMAQYYCNVIPVLEVPPSAFTPPPKVDSAVVRLVPHATMPHPVKDVRVLSRITTEAFNQRRKTIRNSLGNLFSVEVLTGMGIDPAMRAENISVAQYCQMANYLAENAPLQES
->50
-MVKTQRVVITPGEPAGIGPDLVVQLAQREWPVELVVCADATLLTDRAAMLGLPLTLRSYSPNSPAQPQTTGTLTLLPVALRESVTAGQLAIENGHYVVETLARACDGCLNGEFAALITGPVHKGVINDAGIPFTGHTEFFEERSQAKKVVMMLATEELRVALATTHLPLRDIADAITPALLHEVIAILHHDLRTKFGIAEPRILVCGLNPHAGEGGHMGTEEIDTIIPVLDELRAQGMKLNGPLPADTLFQPKYLDNADAVLAMYHDQGLPVLKYQGFGRGVNITLGLPFIRTSVDHGTALELAGRGEADVGSFITALNLAIKMIVNTQ
->51
-MKNWKTLLLGIAMIANTSFAAPQVVDKVAAVVNNGVVLESDVDGLMQSVKLNAAQARQQLPDDATLRHQIMERLIMDQIILQMGQKMGVKISDEQLDQAIANIAKQNNMTLDQMRSRLAYDGLNYNTYRNQIRKEMIISEVRNNEVRRRITILPQEVESLAQQVGNQNDASTELNLSHILIPLPENPTSDQVNEAESQARAIVDQARNGADFGKLAIAHSADQQALNGGQMGWGRIQELPGIFAQALSTAKKGDIVGPIRSGVGFHILKVNDLRGESKNISVTEVHARHILLKPSPIMTDEQARVKLEQIAADIKSGKTTFAAAAKEFSQDPGSANQGGDLGWATPDIFDPAFRDALTRLNKGQMSAPVHSSFGWHLIELLDTRNVDKTDAAQKDRAYRMLMNRKFSEEAASWMQEQRASAYVKILSN
->52
-MKKRIPTLLATMIATALYSQQGLAADLASQCMLGVPSYDRPLVQGDTNDLPVTINADHAKGDYPDDAVFTGSVDIMQGNSRLQADEVQLHQKEAPGQPEPVRTVDALGNVHYDDNQVILKGPKGWANLNTKDTNVWEGDYQMVGRQGRGKADLMKQRGENRYTILDNGSFTSCLPGSDTWSVVGSEIIHDREEQVAEIWNARFKVGPVPIFYSPYLQLPVGDKRRSGFLIPNAKYTTTNYFEFYLPYYRNIAPNMDATITPHYMHRRGNIMWENEFRYLSQAGAGLMELDYLPSDKVYEDEHPNDDSSRRWLFYWNHSGVMDQVWRFNVDYTKVSDPSYFNDFDNKYGSSTDGYATQKFSVGYAVQNFNATVSTKQFQVFSEQNTSSYSAEPQLDVNYYQNDVGPFDTRIYGQAVHFVNTRDDMPEATRVHLEPTINLPLSNNWGSINTEAKLLATHYQQTNLDWYNSRNTTKLDESVNRVMPQFKVDGKMVFERDMEMLAPGYTQTLEPRAQYLYVPYRDQSDIYNYDSSLLQSDYSGLFRDRTYGGLDRIASANQVTTGVTSRIYDDAAVERFNISVGQIYYFTESRTGDDNITWENDDKTGSLVWAGDTYWRISERWGLRGGIQYDTRLDNVATSNSSIEYRRDEDRLVQLNYRYASPEYIQATLPKYYSTAEQYKNGISQVGAVASWPIADRWSIVGAYYYDTNANKQADSMLGVQYSSCCYAIRVGYERKLNGWDNDKQHAVYDNAIGFNIELRGLSSNYGLGTQEMLRSNILPYQNTL
->53
-MQYWGKIIGVAVALLMGGGFWGVVLGLLIGHMFDKARSRKMAWFANQRERQALFFATTFEVMGHLTKSKGRVTEADIHIASQLMDRMNLHGASRTAAQNAFRVGKSDNYPLREKMRQFRSVCFGRFDLIRMFLEIQIQAAFADGSLHPNERAVLYVIAEELGISRAQFDQFLRMMQGGAQFGGGYQQQSGGGNWQQAQRGPTLEDACNVLGVKPTDDATTIKRAYRKLMSEHHPDKLVAKGLPPEMMEMAKQKAQEIQQAYELIKQQKGFK
->54
-MGMENYNPPQEPWLVILYQDDHIMVVNKPSGLLSVPGRLEEHKDSVMTRIQRDYPQAESVHRLDMATSGVIVVALTKAAERELKRQFREREPKKQYVARVWGHPSPAEGLVDLPLICDWPNRPKQKVCYETGKPAQTEYEVVEYVADNTARVVLKPITGRSHQLRVHMLALGHPILGDRFYASPEARAMAPRLLLHAEMLTITHPAYGNSMTFKAPADF
->55
-MPFTLGQRWISDTESELGLGTVVAVDARTVTLLFPSTGENRLYARSDSPVTRVMFNPGDTITSHDGWQMQVEEVKEENGLLTYIGTRLDTEESGVALREVFLDSKLVFSKPQDRLFAGQIDRMDRFALRYRARKYSSEQFRMPYSGLRGQRTSLIPHQLNIAHDVGRRHAPRVLLADEVGLGKTIEAGMILHQQLLSGAAERVLIIVPETLQHQWLVEMLRRFNLRFALFDDERYAEAQHDAYNPFDTEQLVICSLDFARRSKQRLEHLCEAEWDLLVVDEAHHLVWSEDAPSREYQAIEQLAEHVPGVLLLTATPEQLGMESHFARLRLLDPNRFHDFAQFVEEQKNYRPVADAVAMLLAGNKLSNDELNMLGEMIGEQDIEPLLQAANSDSEDAQSARQELVSMLMDRHGTSRVLFRNTRNGVKGFPKRELHTIKLPLPTQYQTAIKVSGIMGARKSAEDRARDMLYPERIYQEFEGDNATWWNFDPRVEWLMGYLTSHRSQKVLVICAKAATALQLEQVLREREGIRAAVFHEGMSIIERDRAAAWFAEEDTGAQVLLCSEIGSEGRNFQFASHMVMFDLPFNPDLLEQRIGRLDRIGQAHDIQIHVPYLEKTAQSVLVRWYHEGLDAFEHTCPTGRTIYDSVYNDLINYLASPDQTEGFDDLIKNCREQHEALKAQLEQGRDRLLEIHSNGGEKAQALAESIEEQDDDTNLIAFAMNLFDIIGINQDDRGDNMIVLTPSDHMLVPDFPGLSEDGITITFDREVALVREDAQFITWEHPLIRNGLDLILSGDTGSSTISLLKNKALPVGTLLVELIYVVEAQAPKQLQLNRFLPPTPVRMLLDKNGNNLAAQVEFETFNRQLNAVNRHTGSKLVNAVQQDVHAILQLGEAQIEKSARALIDAARNEADEKLSAELSRLEALRAVNPNIRDDELTAIESNRQQVMESLDQAGWRLDALRLIVVTHQ
->56
-MAQAGFILTRHWRDTPQGTEVSFWLATDNGPLQVTLAPQESVAFIPADQVPRAQHILQGEQGFRLTPLALKDFHRQPVYGLYCRAHRQLMNYEKRLREGGVTVYEADVRPPERYLMERFITSPVWVEGDMHNGTIVNARLKPHPDYRPPLKWVSIDIETTRHGELYCIGLEGCGQRIVYMLGPENGDASSLDFELEYVASRPPLLEKLNAWFANYDPDVIIGWNVVQFDLRMLQKHAERYRLPLRLGRDNSELEWREHGFKNGVFFAQAKGRLIIDGIEALKSAFWNFSSFSLETVAQELLGEGKSIDNPWDRMDEIDRRFAEDKPALATYNLKDCELVTQIFHKTEIMPFLLERATVNGLPVDRHGGSVAAFGHLYFPRMHRAGYVAPNLGEVPPHASPGGYVMDSRPGLYDSVLVLDYKSLYPSIIRTFLIDPVGLVEGMAQPDPEHSTEGFLDAWFSREKHCLPEIVTNIWHGRDEAKRQGNKPLSQALKIIMNAFYGVLGTTACRFFDPRLASSITMRGHQIMRQTKALIEAQGYDVIYGDTDSTFVWLKGAHSEEEAAKIGRALVQHVNAWWAETLQKQRLTSALELEYETHFCRFLMPTIRGADTGSKKRYAGLIQEGDKQRMVFKGLETVRTDWTPLAQQFQQELYLRIFRNEPYQEYVRQTIDKLMAGELDARLVYRKRLRRPLSEYQRNVPPHVRAARLADEENQKRGRPLQYQNRGTIKYVWTTNGPEPLDYQRSPLDYEHYLTRQLQPVAEGILPFIEDNFATLMTGQLGLF
->57
-MLEDLKRQVLEANLALPKHNLVTLTWGNVSAVDRERGVFVIKPSGVDYSVMTADDMVVVSIETGEVVEGTKKPSSDTPTHRLLYQAFPSIGGIVHTHSRHATIWAQAGQSIPATGTTHADYFYGTIPCTRKMTDAEINGEYEWETGNVIVETFEKQGIDAAQMPGVLVHSHGPFAWGKNAEDAVHNAIVLEEVAYMGIFCRQLAPQLPDMQQTLLDKHYLRKHGAKAYYGQ
->58
-MTIFDNYEVWFVIGSQHLYGPETLRQVTQHAEHVVNALNTEAKLPCKLVLKPLGTTPDEITAICRDANYDDRCAGLVVWLHTFSPAKMWINGLTMLNKPLLQFHTQFNAALPWDSIDMDFMNLNQTAHGGREFGFIGARMRQQHAVVTGHWQDKQAHERIGSWMRQAVSKQDTRHLKVCRFGDNMREVAVTDGDKVAAQIKFGFSVNTWAVGDLVQVVNSISDGDVNALVDEYESCYTMTPATQIHGEKRQNVLEAARIELGMKRFLEQGGFHAFTTTFEDLHGLKQLPGLAVQRLMQQGYGFAGEGDWKTAALLRIMKVMSTGLQGGTSFMEDYTYHFEKGNDLVLGSHMLEVCPSIAVEEKPILDVQHLGIGGKDNPARLIFNTQTGPAIVASLIDLGDRYRLLVNCIDTVKTPHSLPKLPVANALWKAQPDLPTASEAWILAGGAHHTVFSHALNLNDMRQFAEMHDIEITVIDNDTRLPAFKDALRWNEVYYGFRR
->59
-MAIAIGLDFGSDSVRALAVDCASGEEIATSVEWYPRWQKGQFCDAPNNQFRHHPRDYIESMEAALKTVLAELSVEQRAAVVGIGVDSTGSTPAPIDADGNVLALRPEFAENPNAMFVLWKDHTAVEEAEEITRLCHAPGNVDYSRYIGGIYSSEWFWAKILHVTRQDTAVAQSAASWIELCDWVPALLSGTTRPQDIRRGRCSAGHKSLWHESWGGLPPASFFDELDPILNRHLPSPLFTDTWTADIPVGTLCPEWAQRLGLPESVVISGGAFDCHMGAVGAGAQPNALVKVIGTSTCDILIADKQSVGERAVKGICGQVDGSVVPGFIGLEAGQSAFGDIYAWFGRVLGWPLEQLAAQHPELKAQINASQKQLLPALTEAWAKNPSLDHLPVVLDWFNGRRTPNANQRLKGVITDLNLATDAPLLFGGLIAATAFGARAIMECFTDQGIAVNNVMALGGIARKNQVIMQACCDVLNRPLQIVASDQCCALGAAIFAAVAAKVHADIPSAQQKMASAVEKTLQPRSEQAQRFEQLYRRYQQWAMSAEQHYLPTSAPAQAAQAVATL
->60
-MAEAQNDPLLPGYSFNAHLVAGLTPIEANGYLDFFIDRPLGMKGYILNLTIRGQGVVKNQGREFVCRPGDILLFPPGEIHHYGRYPEAREWYHQWVYFRPRAYWHEWLNWPSIFANTGFFRPDEAHQPHFSDLFGQIINAGQGEGRYSELLAINLLEQLLLRRMEAINESLHPPMDNRVREACQYISDHLADSNFDIASVAQHVCLSPSRLSHLFRQQLGISVLSWREDQRISQAKLLLSTTRMPIATVGRNVGFDDQLYFSRVFKKCTGASPSEFRAGCEEKVNDVAVKLS
->61
-MQALLEHFITQSTVYSLMAVVLVAFLESLALVGLILPGTVLMAGLGALIGSGELSFWHAWLAGIVGCLLGDWISFWLGWRFKKPLHRWSFLKKNKALLDKTEHALHQHSMFTILVGRFVGPTRPLVPMVAGMLDLPVAKFITPNIIGCLLWPPFYFLPGILAGAAIDIPAGMQSGEFKWLLLATAVFLWVGGWLCWRLWRSGKATDRLSHYLSRGRLLWLTPLISAIGVVALVVLIRHPLMPVYIDILRKVVGG
->62
-MLKLTDITWLYHHLPMRFSLTVERGEQVAILGPSGAGKSTLLNLIAGFLTPASGSLTIDSVDHTTTPPSRRPVSMLFQENNLFSHLTVAQNIGLGLNPGLKLNAAQQEKMHAIARQMGIDNLMARLPGELSGGQRQRVALARCLVREQPILLLDEPFSALDPALRQEMLTLVSTSCQQQKMTLLMVSHSVEDAARIATRSVVVADGRIAWQGKTNELLSGKASASALLGITG
->63
-MATRRQPLIPGWLIPGVSAATLVVAVALAAFLALWWNAPQGNWVAVWQDSYLWHVVRFSFWQAFLSALLSVVPAIFLARALYRRRFPGRLALLRLCAMTLILPVLVAVFGILSVYGRQGWLASLCQSLGLEWTFSPYGLQGILLAHVFFNLPMASRLLLQALENIPGEQRQLAAQLGMRGWHFFRFVEWPWLRRQIPPVAALIFMLCFASFATVLSLGGGPQATTIELAIYQALSYDYDPARAAMLALLQMVCCLGLVLLSQRLSKAIAPGTTLLQGWRDPDDRLHSRICDTVLIVLALLLLLPPLLAVIVDGVNRQLPEVLAQPVLWQALWTSLRIALAAGVLCVVLTMMLLWSSRELRARQKMLAGQALEMSGMLILAMPGIVLATGFFLLLNNTIGLPQSADGIVIFTNALMAIPYALKVLENPMRDITARYSMLCQSLGIEGWSRLKVVELRALKRPLAQALAFACVLSIGDFGVVALFGNDDFRTLPFYLYQQIGSYRSQDGAVTALILLLLCFLLFTVIEKLPGRNVKTD
->64
-MLKKCLPLLLLCTAPVFAKPVLTVYTYDSFAADWGPGPKIKKAFEADCNCELKLVALEDGVSLLNRLRMEGKNSKADVVLGLDNNLLDAASKTGLFAKSGVAADAVNVPGGWNNDTFVPFDYGYFAFVYDKNKLKNPPQSLKELVESDQNWRVIYQDPRTSTPGLGLLLWMQKVYGDDAPQAWQKLAKKTVTVTKGWSEAYGLFLKGESDLVLSYTTSPAYHILEEKKDNYAAANFSEGHYLQVEVAARTAASKQPELAQKFLQFMVSPAFQNAIPTGNWMYPVANVTLPAGFEQLTKPATTLEFTPAEVAAQRQAWISEWQRAVSR
->65
-MPSARLQQQFIRLWQCCEGKSQDTTLNELAALLSCSRRHMRTLLNTMQDRGWLTWEAEVGRGKRSRLTFLYTGLALQQQRAEDLLEQDRIDQLVQLVGDKATVRQMLVSHLGRSFRQGRHILRVLYYRPLRNLLPGSALRRSETHIARQIFSSLTRINEENGELEADIAHHWQQISPLHWRFFLRPGVHFHHGRELEMDDVIASLKRINTLPLYSHIADIVSPTPWTLDIHLTQPDRWLPLLLGQVPAMILPREWETLSNFASHPIGTGPYAVIRNTTNQLKIQAFDDFFGYRALIDEVNVWVLPEIADEPAGGLMLKGPQGEEKEIESRLEEGCYYLLFDSRTHRGANQQVRDWVSYVLSPTNLVYFAEEQYQQLWFPAYGLLPRWHHARTIKSEKPAGLESLILTFYQDHSEHRVIAGIMQQILASHQVTLEIKEISYDQWHEGEIESDIWLNSANFTLPLDFSLFAHLCEVPLLQHCIPIDWQADAARWRNGEMNLANWCQQLVASKAMVPLIHHWLIIQGQRSMRGLRMNTLGWFDFKSAWFAPPDP
->66
-MRQFYQHYFTATAKLCWLRWLSVPQRLTMLEELMQWDDRNSES
->67
-MIWIMTMARRMNGVYAAFMLVAFMMGVAGALQAPTLSLFLSREVGAQPFWIGLFYTVNAIAGIGVSLWLAKRSDSQGDRRKLIIFCCLMAIGNALLFAFNRHYLTLITCGVLLASLANTAMPQLFALAREYADNSAREVVMFSSVMRAQLSLAWVIGPPLAFMLALNYGFTVMFSIAAGIFTLSLVLIAFMLPSVARVELPSENALSMQGGWQDSNVRMLFVASTLMWTCNTMYIIDMPLWISSELGLPDKLAGFLMGTAAGLEIPAMILAGYYVKRYGKRRMMVIAVAAGVLFYTGLIFFHSRMALMTLQLFNAVFIGIVAGIGMLWFQDLMPGRAGAATTLFTNSISTGVILAGVIQGAIAQSWGHFAVYWVIAVISVVALFLTAKVKDV
->68
-MAEKFIKHTGLVVPLDAANVDTDAIIPKQFLQKVTRTGFGAHLFNDWRFLDEKGQQPNPDFVLNFPQYQGASILLARENFGCGSSREHAPWALTDYGFKVVIAPSFADIFYGNSFNNQLLPVKLSDAEVDELFALVKANPGIHFDVDLEAQEVKAGEKTYRFTIDAFRRHCMMNGLDSIGLTLQHDDAIAAYEAKQPAFMN
->69
-MAKTLYEKLFDAHVVYEAENETPLLYIDRHLVHEVTSPQAFDGLRAHGRPVRQPGKTFATMDHNVSTQTKDINACGEMARIQMQELIKNCKEFGVELYDLNHPYQGIVHVMGPEQGVTLPGMTIVCGDSHTATHGAFGALAFGIGTSEVEHVLATQTLKQGRAKTMKIEVQGKAAPGITAKDIVLAIIGKTGSAGGTGHVVEFCGEAIRDLSMEGRMTLCNMAIEMGAKAGLVAPDETTFNYVKGRLHAPKGKDFDDAVAYWKTLQTDEGATFDTVVTLQAEEISPQVTWGTNPGQVISVNDNIPDPASFADPVERASAEKALAYMGLKPGIPLTEVAIDKVFIGSCTNSRIEDLRAAAEIAKGRKVAPGVQALVVPGSGPVKAQAEAEGLDKIFIEAGFEWRLPGCSMCLAMNNDRLNPGERCASTSNRNFEGRQGRGGRTHLVSPAMAAAAAVTGHFADIRNIK
->70
-MSKNYHIAVLPGDGIGPEVMTQALKVLDAVRNRFAMRITTSHYDVGGAAIDNHGQPLPPATVEGCEQADAVLFGSVGGPKWEHLPPDQQPERGALLPLRKHFKLFSNLRPAKLYQGLEAFCPLRADIAANGFDILCVRELTGGIYFGQPKGREGSGQYEKAFDTEVYHRFEIERIARIAFESARKRRHKVTSIDKANVLQSSILWREIVNEIATEYPDVELAHMYIDNATMQLIKDPSQFDVLLCSNLFGDILSDECAMITGSMGMLPSASLNEQGFGLYEPAGGSAPDIAGKNIANPIAQILSLALLLRYSLDADDAACAIERAINRALEEGIRTGDLARGAAAVSTDEMGDIIARYVAEGV
->71
-MSQQVIIFDTTLRDGEQALQASLSVKEKLQIALALERMGVDVMEVGFPVSSPGDFESVQTIARQVKNSRVCALARCVEKDIDVAAESLKVAEAFRIHTFIATSPMHIATKLRSTLDEVIERAIYMVKRARNYTDDVEFSCEDAGRTPIADLARVVEAAINAGATTINIPDTVGYTMPFEFAGIISGLYERVPNIDKAIISVHTHDDLGLAVGNSLAAVHAGARQVEGAMNGIGERAGNCSLEEVIMAIKVRKDILNVHTAINHQEIWRTSQLVSQICNMPIPANKAIVGSGAFAHSSGIHQDGVLKNRENYEIMTPESIGLNQIQLNLTSRSGRAAVKHRMDEMGYKESEYNLDNLYDAFLKLADKKGQVFDYDLEALAFIGKQQEEPEHFRLDYFSVQSGSNDIATAAVKLACGEEVKAEAANGNGPVDAVYQAINRITDYNVELVKYSLTAKGHGKDALGQVDIVANYNGRRFHGVGLATDIVESSAKAMVHVLNNIWRAAEVEKELQRKAQHNENNKETV
->72
-MPEVQTDHSETAELSKPQLRMVDLNLLTVFDAVMQEQNITRAAHVLGMSQPAVSNAVARLKVMFNDELFVRYGRGIQPTARAFQLFGSVRQALQLVQNELPGSGFEPASSERVFHLCVCSPLDSILTSQIYNHIEQIAPNIHVMFKSSLNQNTEHQLRYQETEFVISYEDFHRPEFTSVPLFKDEMVLVASKNHPTIKGPLLKHDVYNEQHAAVSLDRFASFSQPWYDTVDKQASIAYQGMAMMSVLSVVSQTHLVAIAPRWLAEEFAESLELQVLPLPLKQNSRTCYLSWHEAAGRDKGHQWMEEQLVSICKR
->73
-MEMLSGAEMVVRSLIDQGVKQVFGYPGGAVLDIYDALHTVGGIDHVLVRHEQAAVHMADGLARATGEVGVVLVTSGPGATNAITGIATAYMDSIPLVVLSGQVATSLIGYDAFQECDMVGISRPVVKHSFLVKQTEDIPQVLKKAFWLAASGRPGPVVVDLPKDILNPANKLPYVWPESVSMRSYNPTTTGHKGQIKRALQTLVAAKKPVVYVGGGAIMAGCHQQLKETVEALNLPVVSSLMGLGAFPATHRQALGMLGMHGTYEANMTMHNADVIFAVGVRFDDRTTNNLAKYCPNATVLHIDIDPTSISKTVTADIPIVGDARQVLEQMLELLSQESAHQPLDEIRDWWQQIEQWRARQCLKYDTHSEKIKPQAVIETLWRLTKGDAYVTSDVGQHQMFAALYYPFDKPRRWINSGGLGTMGFGLPAALGVKMALPEETVVCVTGDGSIQMNIQELSTALQYELPVLVVNLNNRYLGMVKQWQDMIYSGRHSQSYMQSLPDFVRLAEAYGHVGIQISHPHELESKLSEALEQVCNNRLVFVDVTVDGSEHVYPMQIRGGGMDEMWLSKTERT
->74
-MRRILSVLLENESGALSRVIGLFSQRGYNIESLTVAPTDDPTLSRMTIQTVGDEKVLEQIEKQLHKLVDVLRVSELGQGAHVEREIMLVKIQASGYGRDEVKRNTEIFRGQIIDVTPSLYTVQLAGTSDKLDAFLASIRDVAKIVEVARSGVVGLSRGDKIMR
->75
-MKLDEIARLAGVSRTTASYVINGKAKQYRVSDKTVEKVMAVVREHNYHPNAVAAGLRAGRTRSIGLVIPDLENTSYTRIANYLERQARQRGYQLLIACSEDQPDNEMRCIEHLLQRQVDAIIVSTSLPPEHPFYQRWANDPFPIVALDRALDREHFTSVVGADQDDAEMLAEELRKFPAETVLYLGALPELSVSFLREQGFRTAWKDDPREVHFLYANSYEREAAAQLFEKWLETHPMPQALFTTSFALLQGVMDVTLRRDGKLPSDLAIATFGDNELLDFLQCPVLAVAQRHRDVAERVLEIVLASLDEPRKPKPGLTRIKRNLYRRGVLSRS
->76
-MFRGATLVNLDSKGRLSVPTRYREQLLENAAGQMVCTIDIHHPCLLLYPLPEWEIIEQKLSRLSSMNPVERRVQRLLLGHASECQMDGAGRLLIAPVLRQHAGLTKEVMLVGQFNKFELWDETTWHQQVKEDIDAEQLATGDLSERLQDLSL
->77
-MMENYKHTTVLLDEAVNGLNIRPDGIYIDGTFGRGGHSRLILSQLGEEGRLLAIDRDPQAIAVAKTIDDPRFSIIHGPFSALGEYVAERDLIGKIDGILLDLGVSSPQLDDAERGFSFMRDGPLDMRMDPTRGQSAAEWLQTAEEADIAWVLKTYGEERFAKRIARAIVERNREQPMTRTKELAEVVAAATPVKDKFKHPATRTFQAVRIWVNSELEEIEQALKSSLNVLAPGGRLSIISFHSLEDRIVKRFMRENSRGPQVPAGLPMTEEQLKKLGGRQLRALGKLMPGEEEVAENPRARSSVLRIAERTNA
->78
-MISRVTEALSKVKGSMGSHERHALPAVIGDDLLRFGKLPLCLFICIILTAVTVVTTAHHTRLLTAQREQLVLERDALDIEWRNLILEENALGDHSRVERIATEKLQMQHVDPSQENIVVQK
->79
-MKAAAKTQKPKRQEEHANFISWRFALLCGCILLALAFLLGRVAWLQVISPDMLVKEGDMRSLRVQQVSTSRGMITDRSGRPLAVSVPVKAIWADPKEVHDAGGISVGDRWKALANALNIPLDQLSARINANPKGRFIYLARQVNPDMADYIKKLKLPGIHLREESRRYYPSGEVTAHLIGFTNVDSQGIEGVEKSFDKWLTGQPGERIVRKDRYGRVIEDISSTDSQAAHNLALSIDERLQALVYRELNNAVAFNKAESGSAVLVDVNTGEVLAMANSPSYNPNNLSGTPKEAMRNRTITDVFEPGSTVKPMVVMTALQRGVVRENSVLNTIPYRINGHEIKDVARYSELTLTGVLQKSSNVGVSKLALAMPSSALVDTYSRFGLGKATNLGLVGERSGLYPQKQRWSDIERATFSFGYGLMVTPLQLARVYATIGSYGIYRPLSITKVDPPVPGERVFPESIVRTVVHMMESVALPGGGGVKAAIKGYRIAIKTGTAKKVGPDGRYINKYIAYTAGVAPASQPRFALVVVINDPQAGKYYGGAVSAPVFGAIMGGVLRTMNIEPDALTTGDKNEFVINQGEGTGGRS
->80
-MADRNLRDLLAPWVPDAPSRALREMTLDSRVAAAGDLFVAVVGHQADGRRYIPQAIAQGVAAIIAEAKGEATDGEIREMHGVPVIYLSQLNERLSALAGRFYHEPSDNLRLVGVTGTNGKTTTTQLLAQWSQLLGETSAVMGTVGNGLLGKVIPTENTTGSAVDVQHELAGLVDQGATFCAMEVSSHGLVQHRVAALKFAASVFTNLSRDHLDYHGDMEHYEAAKWLLYSEHHCGQAIVNADDEVGRRWLAKLPDAVAVSMEDHINPNCHGRWLKATEVNYHDSGATIRFSSSWGDGEIESHLMGAFNVSNLLLALATLLALGYPLADLLKTAARLQPVCGRMEVFTAPGKPTVVVDYAHTPDALEKALQAARLHCAGKLWCVFGCGGDRDKGKRPLMGAIAEEFADVAVVTDDNPRTEEPRAIINDILAGMLDAGHAKVMEGRAEAVTCAVMQAKENDVVLVAGKGHEDYQIVGNQRLDYSDRVTVARLLGVIA
->81
-MISVTLSQLTDILNGELQGADITLDAVTTDTRKLTPGCLFVALKGERFDAHDFADQAKAGGAGALLVSRPLDIDLPQLIVKDTRLAFGELAAWVRQQVPARVVALTGSSGKTSVKEMTAAILSQCGNTLYTAGNLNNDIGVPMTLLRLTPEYDYAVIELGANHQGEIAWTVSLTRPEAALVNNLAAAHLEGFGSLAGVAKAKGEIFSGLPENGIAIMNADNNDWLNWQSVIGSRKVWRFSPNAANSDFTATNIHVTSHGTEFTLQTPTGSVDVLLPLPGRHNIANALAAAALSMSVGATLDAIKAGLANLKAVPGRLFPIQLAENQLLLDDSYNANVGSMTAAVQVLAEMPGYRVLVVGDMAELGAESEACHVQVGEAAKAAGIDRVLSVGKQSHAISTASGVGEHFADKTALITRLKSLIAEQQVITILVKGSRSAAMEEVVRALQENGTC
->82
-MLVWLAEHLVKYYSGFNVFSYLTFRAIVSLLTALFISLWMGPRMIAHLQKLSFGQVVRNDGPESHFSKRGTPTMGGIMILTAIVISVLLWAYPSNPYVWCVLVVLVGYGVIGFVDDYRKVVRKDTKGLIARWKYFWMSVIALGIAFALYLAGKDTPATQLVVPFFKDVMPQLGLFYILLAYFVIVGTGNAVNLTDGLDGLAIMPTVFVAGGFALVAWATGNMNFASYLHIPYLRHAGELVIVCTAIVGAGLGFLWFNTYPAQVFMGDVGSLALGGALGIIAVLLRQEFLLVIMGGVFVVETLSVILQVGSFKLRGQRIFRMAPIHHHYELKGWPEPRVIVRFWIISLMLVLIGLATLKVR
->83
-MADYQGKNVVIIGLGLTGLSCVDFFLARGVTPRVMDTRMTPPGLDKLPEAVERHTGSLNDEWLMAADLIVASPGIALAHPSLSAAADAGIEIVGDIELFCREAQAPIVAITGSNGKSTVTTLVGEMAKAAGVNVGVGGNIGLPALMLLDAECELYVLELSSFQLETTSSLQAVAATILNVTEDHMDRYPFGLQQYRAAKLRIYENAKVCVVNADDALTMPIRGADERCVSFGVNMGDYHLNHQQGETWLRVKGEKVLNVKEMKLSGQHNYTNALAALALADAAGLPRASSLKALTTFTGLPHRFEVVLEHNGVRWINDSKATNVGSTEAALNGLQVDGTLHLLLGGDGKSADFSPLARYLNGDNVRLYCFGRDGAQLAALRPEVAEQTETMEQAMRLLAPRVQPGDMVLLSPACASLDQFKNFEQRGNEFARLAKELG
->84
-MRLSLPRLKMPRLPGFSILVWISTALKGWVMGSREKDTDSLIMYDRTLLWLTFGLAAIGFIMVTSASMPIGQRLTNDPFFFAKRDGVYLILAFILAIITLRLPMEFWQRYSATMLLGSIILLMIVLVVGSSVKGASRWIDLGLLRIQPAELTKLSLFCYIANYLVRKGDEVRNNLRGFLKPMGVILVLAVLLLAQPDLGTVVVLFVTTLAMLFLAGAKLWQFIAIIGMGISAVVLLILAEPYRIRRVTAFWNPWEDPFGSGYQLTQSLMAFGRGELWGQGLGNSVQKLEYLPEAHTDFIFAIIGEELGYVGVVLALLMVFFVAFRAMSIGRKALEIDHRFSGFLACSIGIWFSFQALVNVGAAAGMLPTKGLTLPLISYGGSSLLIMSTAIMMLLRIDYETRLEKAQAFVRGSR
->85
-MSGQGKRLMVMAGGTGGHVFPGLAVAHHLMAQGWQVRWLGTADRMEADLVPKHGIEIDFIRISGLRGKGIKALIAAPLRIFNAWRQARAIMKAYKPDVVLGMGGYVSGPGGLAAWSLGIPVVLHEQNGIAGLTNKWLAKIATKVMQAFPGAFPNAEVVGNPVRTDVLALPLPQQRLAGREGPVRVLVVGGSQGARILNQTMPQVAAKLGDSVTIWHQSGKGSQQSVEQAYAEAGQPQHKVTEFIDDMAAAYAWADVVVCRSGALTVSEIAAAGLPALFVPFQHKDRQQYWNALPLEKAGAAKIIEQPQLSVDAVANTLAGWSRETLLTMAERARAASIPDATERVANEVSRAARA
->86
-MNTQQLAKLRSIVPEMRRVRHIHFVGIGGAGMGGIAEVLANEGYQISGSDLAPNPVTQQLMNLGATIYFNHRPENVRDASVVVVSSAISADNPEIVAAHEARIPVIRRAEMLAELMRFRHGIAIAGTHGKTTTTAMVSSIYAEAGLDPTFVNGGLVKAAGVHARLGHGRYLIAEADESDASFLHLQPMVAIVTNIEADHMDTYQGDFENLKQTFINFLHNLPFYGRAVMCVDDPVIRELLPRVGRQTTTYGFSEDADVRVEDYQQIGPQGHFTLLRQDKEPMRVTLNAPGRHNALNAAAAVAVATEEGIDDEAILRALESFQGTGRRFDFLGEFPLEPVNGKSGTAMLVDDYGHHPTEVDATIKAARAGWPDKNLVMLFQPHRFTRTRDLYDDFANVLTQVDTLLMLEVYPAGEAPIPGADSRSLCRTIRGRGKIDPILVPDPAQVAEMLAPVLTGNDLILVQGAGNIGKIARSLAEIKLKPQTPEEEQHD
->87
-MTDKIAVLLGGTSAEREVSLNSGAAVLAGLREGGIDAYPVDPKEVDVTQLKSMGFQKVFIALHGRGGEDGTLQGMLELMGLPYTGSGVMASALSMDKLRSKLLWQGAGLPVAPWVALTRAEFEKGLSDKQLAEISALGLPVIVKPSREGSSVGMSKVVAENALQDALRLAFQHDEEVLIEKWLSGPEFTVAILGEEILPSIRIQPSGTFYDYEAKYLSDETQYFCPAGLEASQEANLQALVLKAWTTLGCKGWGRIDVMLDSDGQFYLLEANTSPGMTSHSLVPMAARQAGMSFSQLVVRILELAD
->88
-MSQAALNTRNSEEEVSSRRNNGTRLAGILFLLTVLTTVLVSGWVVLGWMEDAQRLPLSKLVLTGERHYTRNDDIRQSILALGEPGTFMTQDVNIIQTQIEQRLPWIKQVSVRKQWPDELKIHLVEYVPIARWNDQHMVDAEGNTFSVPPDRTSKQVLPMLYGPEGSANEVLQGYREMGQMLAKDRFTLKEAAMTARRSWQLTLNNDIKLNLGRGDTMKRLARFVELYPVLQQQAQTDGKRISYVDLRYDSGAAVGWAPLPPEESTQQQNQAQAEQQ
->89
-MIKATDRKLVVGLEIGTAKVAALVGEVLPDGMVNIIGVGSCPSRGMDKGGVNDLESVVKCVQRAIDQAELMADCQISSVYLALSGKHISCQNEIGMVPISEEEVTQEDVENVVHTAKSVRVRDEHRVLHVIPQEYAIDYQEGIKNPVGLSGVRMQAKVHLITCHNDMAKNIVKAVERCGLKVDQLIFAGLASSYSVLTEDERELGVCVVDIGGGTMDIAVYTGGALRHTKVIPYAGNVVTSDIAYAFGTPPSDAEAIKVRHGCALGSIVGKDESVEVPSVGGRPPRSLQRQTLAEVIEPRYTELLNLVNEEILQLQEKLRQQGVKHHLAAGIVLTGGAAQIEGLAACAQRVFHTQVRIGAPLNITGLTDYAQEPYYSTAVGLLHYGKESHLNGEAEVEKRVTASVGSWIKRLNSWLRKEF
->90
-MFEPMELTNDAVIKVIGVGGGGGNAVEHMVRERIEGVEFFAVNTDAQALRKTAVGQTIQIGSGITKGLGAGANPEVGRNAADEDRDALRAALEGADMVFIAAGMGGGTGTGAAPVVAEVAKDLGILTVAVVTKPFNFEGKKRMAFAEQGITELSKHVDSLITIPNDKLLKVLGRGISLLDAFGAANDVLKGAVQGIAELITRPGLMNVDFADVRTVMSEMGYAMMGSGVASGEDRAEEAAEMAISSPLLEDIDLSGARGVLVNITAGFDLRLDEFETVGNTIRAFASDNATVVIGTSLDPDMNDELRVTVVATGIGMDKRPEITLVTNKQVQQPVMDRYQQHGMAPLTQEQKPVAKVVNDNAPQTAKEPDYLDIPAFLRKQAD
->91
-MIKQRTLKRIVQATGVGLHTGKKVTLTLRPAPANTGVIYRRTDLNPPVDFPADAKSVRDTMLCTCLVNEHDVRISTVEHLNAALAGLGIDNIVIEVNAPEIPIMDGSAAPFVYLLLDAGIDELNCAKKFVRIKETVRVEDGDKWAEFKPYNGFSLDFTIDFNHPAIDSSNQRYAMNFSADAFMRQISRARTFGFMRDIEYLQSRGLCLGGSFDCAIVVDDYRVLNEDGLRFEDEFVRHKMLDAIGDLFMCGHNIIGAFTAYKSGHALNNKLLQAVLAKQEAWEYVTFQDDAELPLAFKAPSAVLA
->92
-MLRTAGFNDKICALNTFEYDRDGNNVSGILTRWRQFGKRYFWPHLLLGMVAASLGLPALSNAAEPNAPAKATTRNHEPSAKVNFGQLALLEANTRRPNSNYSVDYWHQHAIRTVIRHLSFAMAPQTLPVAEESLPLQAQHLALLDTLSALLTQEGTPSEKGYRIDYAHFTPQAKFSTPVWISQAQGIRAGPQRLT
->93
-MLIKLLTKVFGSRNDRTLRRMRKVVNIINAMEPEMEKLSDEELKGKTAEFRARLEKGEVLENLIPEAFAVVREASKRVFGMRHFDVQLLGGMVLNERCIAEMRTGEGKTLTATLPAYLNALTGKGVHVVTVNDYLAQRDAENNRPLFEFLGLTVGINLPGMPAPAKREAYAADITYGTNNEYGFDYLRDNMAFSPEERVQRKLHYALVDEVDSILIDEARTPLIISGPAEDSSEMYKRVNKIIPHLIRQEKEDSETFQGEGHFSVDEKSRQVNLTERGLVLIEELLVKEGIMDEGESLYSPANIMLMHHVTAALRAHALFTRDVDYIVKDGEVIIVDEHTGRTMQGRRWSDGLHQAVEAKEGVQIQNENQTLASITFQNYFRLYEKLAGMTGTADTEAFEFSSIYKLDTVVVPTNRPMIRKDLPDLVYMTEAEKIQAIIEDIKERTAKGQPVLVGTISIEKSELVSNELTKAGIKHNVLNAKFHANEAAIVAQAGYPAAVTIATNMAGRGTDIVLGGSWQAEVAALENPTVEQIEKIKADWQVRHDAVLEAGGLHIIGTERHESRRIDNQLRGRSGRQGDAGSSRFYLSMEDALMRIFASDRVSGMMRKLGMKPGEAIEHPWVTKAIANAQRKVESRNFDIRKQLLEYDDVANDQRRAIYSQRNELLDVSDVSETINSIREDVFKATIDAYIPPQSLEEMWDIPGLQERLKNDFDLDLPIAEWLDKEPELHEETLRERILAQSIEVYQRKEEVVGAEMMRHFEKGVMLQTLDSLWKEHLAAMDYLRQGIHLRGYAQKDPKQEYKRESFSMFAAMLESLKYEVISTLSKVQVRMPEEVEELEQQRRMEAERLAQMQQLSHQDDDSAAAAAPAAQTGERKVGRNDPCPCGSGKKYKQCHGRLQ
->94
-MKKLQIAVGIIRNENNEIFITRRAADAHMANKLEFPGGKIEMGETPEQAVVRELQEEVGITPQHFSLFEKLEYEFPDRHITLWFWLVESWEGEPWGKEGQPGEWMSLVGLNADDFPPANEPVIAKLKRL
->95
-MSETITVNCPTCGKTVVWGEISPFRPFCSKRCQLIDLGEWAAEEKRIPSSGDLSESDDWSEEPKQ
->96
-MQTQVLFEHPLNEKMRTWLRIEFLIQQLTVNLPIVDHAGALHFFRNVSELLDVFERGEVRTELLKELDRQQRKLQTWIGVPGVDQSRIEALIQQLKAAGSVLISAPRIGQFLREDRLIALVRQRLSIPGGCCSFDLPTLHIWLHLPQAQRDSQVETWIASLNPLTQALTMVLDLIRQSAPFRKQTSLNGFYQDNGGDADLLRLNLSLDSQLYPQISGHKSRFAIRFMPLDTENGQVPERLDFELACC
->97
-MRYIVALTGGIGSGKSTVANAFADLGINVIDADIIARQVVEPGAPALHAIADHFGANMIAADGTLQRRALRERIFANPEEKNWLNALLHPLIQQETQHQIQQATSPYVLWVVPLLVENSLYKKANRVLVVDVSPETQLKRTMQRDDVTREHVEQILAAQATREARLAVADDVIDNNGAPDAIASDVARLHAHYLQLASQFVSQEKP
->98
-MRIEEDLKLGFKDVLIRPKRSTLKSRSDVELERQFTFKHSGQSWSGVPIIAANMDTVGTFSMASALASFDILTAVHKHYSVEEWQAFINNSSADVLKHVMVSTGTSDADFEKTKQILDLNPALNFVCIDVANGYSEHFVQFVAKAREAWPTKTICAGNVVTGEMCEELILSGADIVKVGIGPGSVCTTRVKTGVGYPQLSAVIECADAAHGLGGMIVSDGGCTTPGDVAKAFGGGADFVMLGGMLAGHEESGGRIVEENGEKFMLFYGMSSESAMKRHVGGVAEYRAAEGKTVKLPLRGPVENTARDILGGLRSACTYVGASRLKELTKRTTFIRVQEQENRIFNNL
->99
-MASKQLWRWHGITGDGNAQDGMLWAESRALLLMALQQQMVTPLSLKRIAINSAQWRGDKSAEVIHQLATLLKAGLTLSEGLALLAEQHPSKQWQALLQSLAHDLEQGIAFSNALLPWSEVFPPLYQAMIRTGELTGKLDECCFELARQQKAQRQLTDKVKSALRYPIIILAMAIMVVVAMLHFVLPEFAAIYKTFNTPLPALTQGIMTLADFSGEWSWLLVLFGFLLAIANKLLMRRPTWLIVRQKLLLRIPIMGSLMRGQKLTQIFTILALTQSAGITFLQGVESVRETMRCPYWVQLLTQIQHDISNGHPIWLALKNTGEFSPLCLQLVRTGEASGSLDLMLDNLAHHHRDNTMALADNLAALLEPALLIITGGIIGTLVVAMYLPIFHLGDAMSGMG
->100
-MNIPQLTALCLRYHGVLLDASEEVVHVAVVDAPSHELLDALHFATTKRIEITCWTRQQMEGHASRTQQTLPVAVQEKHQPKAELLTRTLQSALEQRASDIHIEPADNAYRIRLRIDGVLHPLPDVSPDAGVALTARLKVLGNLDIAEHRLPQDGQFTVELAGNAVSFRIATLPCRGGEKVVLRLLQQVSQALDVNTLGMQPLQLADFAHALQQPQGLVLVTGPTGSGKTVTLYSALQTLNTADINICSVEDPVEIPIAGLNQTQIHPRAGLTFQGVLRALLRQDPDVIMIGEIRDGETAEIAIKAAQTGHLVLSTLHTNSTCETLVRLQQMGVARWMLSSALTLVIAQRLVRKLCPHCRRQQGEPIHIPDNVWPSPLPHWQAPGCVHCYHGFYGRTALFEVLPITPVIRQLISANTDVESLETHARQAGMRTLFENGCLAVEQGLTTFEELIRVLGMPHGE
->101
-MDKQRGFTLIELMVVIGIIAILSAIGIPAYQNYLRKAALTDMLQTFVPYRTAVELCALEHGGLDTCDGGSNGIPSPTTTRYVSAMSVAKGVVSLTGQESLNGLSVVMTPGWDNANGVTGWTRNCNIQSDSALHQACEDVFRFDDAN
->102
-MPPRRYNPDTRRDELLERINLDIPGAVAQALREDLGGTVDANNDITAKLLPENSRSHATVITRENGVFCGKRWVEEVFIQLAGDDVTIIWHVDDGDVINANQSLFELEGPSRVLLTGERTALNFVQTLSGVASKVRHYVELLEGTNTQLLDTRKTLPGLRSALKYAVLCGGGANHRLGLSDAFLIKENHIIASGSVRQAVEKASWLHPDAPVEVEVENLEELDEALKAGADIIMLDNFETEQMREAVKRTNGKALLEVSGNVTDKTLREFAETGVDFISVGALTKHVQALDLSMRFR
->103
-MLLEQGWLVGARRVPSPHYDCRPDDETPTLLVVHNISLPPGEFGGPWIDALFTGTIDPQAHPFFAEIAHLRVSAHCLIRRDGEIVQYVPFDKRAWHAGVSQYQGRERCNDFSIGIELEGTDTLAYTDAQYQQLAAVTRALIDCYPDIAKNMTGHCDIAPDRKTDPGPAFDWARFRVLVSKETT
->104
-MTLFTTLLVLIFERLFKLGEHWQLDHRLEAFFRRVKHFSLGRTLGMTIIAMGVTFLLLRALQGVLFNVPTLLVWLLIGLLCIGAGKVRLHYHAYLTAASRNDSHARATMAGELTMIHGVPAGCDEREYLRELQNALLWINFRFYLAPLFWLIVGGTWGPVTLMGYAFLRAWQYWLARYQMPHHRLQSGIDAVLHVLDWVPVRLAGVVYALIGHGEKALPAWFASLGDFHTSQYQVLTRLAQFSLAREPHVDKVETPRAAVSMAKKTSFVVVVVIALLTIYGALV
->105
-MEGQQHGEQLKRGLKNRHIQLIALGGAIGTGLFLGSASVIQSAGPGIILGYAIAGFIAFLIMRQLGEMVVEEPVAGSFSHFAYKYWGSFAGFASGWNYWVLYVLVAMAELTAVGKYIQFWYPEIPTWVSAAVFFVVINAINLTNVKVFGEMEFWFAIIKVIAVVAMIIFGGWLLFSGNGGPQATVSNLWDQGGFLPHGFTGLVMMMAIIMFSFGGLELVGITAAEADNPEQSIPKATNQVIYRILIFYIGSLAVLLSLMPWTRVTADTSPFVLIFHELGDTFVANALNIVVLTAALSVYNSCVYCNSRMLFGLAQQGNAPKALASVDKRGVPVNTILVSALVTALCVLINYLAPESAFGLLMALVVSALVINWAMISLAHMKFRRAKQEQGVVTRFPALLYPLGNWICLLFMAAVLVIMLMTPGMAISVYLIPVWLIVLGIGYLFKEKTAKAVKAH
->106
-MAYSKIRQPKLSDVIEQQLEFLILEGTLRPGEKLPPERELAKQFDVSRPSLREAIQRLEAKGLLLRRQGGGTFVQSSLWQSFSDPLVELLSDHPESQYDLLETRHALEGIAAYYAALRSTDEDKERIRELHHAIELAQQSGDLDAESNAVLQYQIAVTEAAHNVVLLHLLRCMEPMLAQNVRQNFELLYSRREMLPLVSSHRTRIFEAIMAGKPEEAREASHRHLAFIEEILLDRSREESRRERSLRRLEQRKN
->107
-MSERFPNDVDPIETRDWLQAIESVIREEGVERAQYLIDQLLAEARKGGVNVAAGTGISNYINTIPVEEQPEYPGNLELERRIRSAIRWNAIMTVLRASKKDLELGGHMASFQSSATIYDVCFNHFFRARNEQDGGDLVYFQGHISPGVYARAFLEGRLTQEQLDNFRQEVHGNGLSSYPHPKLMPEFWQFPTVSMGLGPIGAIYQAKFLKYLEHRGLKDTSKQTVYAFLGDGEMDEPESKGAITIATREKLDNLVFVINCNLQRLDGPVTGNGKIINELEGIFEGAGWNVIKVMWGSRWDELLRKDTSGKLIQLMNETVDGDYQTFKSKDGAYVREHFFGKYPETAALVADWTDEQIWALNRGGHDPKKIYAAFKKAQETKGKATVILAHTIKGYGMGDAAEGKNIAHQVKKMNMDGVRHIRDRFNVPVSDADIEKLPYITFPEGSEEHTYLHAQRQKLHGYLPSRQPNFTEKLELPSLQDFGALLEEQSKEISTTIAFVRALNVMLKNKSIKDRLVPIIADEARTFGMEGLFRQIGIYSPNGQQYTPQDREQVAYYKEDEKGQILQEGINELGAGCSWLAAATSYSTNNLPMIPFYIYYSMFGFQRIGDLCWAAGDQQARGFLIGGTSGRTTLNGEGLQHEDGHSHIQSLTIPNCISYDPAYAYEVAVIMHDGLERMYGEKQENVYYYITTLNENYHMPAMPEGAEEGIRKGIYKLETIEGSKGKVQLLGSGSILRHVREAAEILAKDYGVGSDVYSVTSFTELARDGQDCERWNMLHPLETPRVPYIAQVMNDAPAVASTDYMKLFAEQVRTYVPADDYRVLGTDGFGRSDSRENLRHHFEVDASYVVVAALGELAKRGEIDKKVVADAIAKFNIDADKVNPRLA
->108
-MAIEIKVPDIGADEVEITEILVKVGDKVEAEQSLITVEGDKASMEVPSPQAGVVKEIKVSVGDKTQTGALIMIFDSADGAADAAPAQAEEKKEAAPAAAPAAAAAKDVNVPDIGSDEVEVTEILVKVGDKVEAEQSLITVEGDKASMEVPAPFAGTVKEIKVNVGDKVSTGSLIMVFEVAGEAGAAAPAAKQEAAPAAAPAPAAGVKEVNVPDIGGDKVEVTEVMVKVGDKVAAEQSLITVEGDKASMEVPAPFAGVVKELKVNVGDKVKTGSLIMIFEVEGAAPAAAPAKQEAAAPAPAAKAEAPAAAPAAKAEGKSEFAENDAYVHATPLIRRLAREFGVNLAKVKGTGRKGRILREDVQAYVKEAIKRAEAAPAATGGGIPGMLPWPKVDFSKFGEIEEVELGRIQKISGANLSRNWVMIPHVTHFDKTDITELEAFRKQQNEEAAKRKLDVKITPVVFIMKAVAAALEQMPRFNSSLSEDGQRLTLKKYINIGVAVDTPNGLVVPVFKDVNKKGIIELSRELMTISKKARDGKLTAGEMQGGCFTISSIGGLGTTHFAPIVNAPEVAILGVSKSAMEPVWNGKEFVPRLMLPISLSFDHRVIDGADGARFITIINNTLSDIRRLVM
->109
-MSTEIKTQVVVLGAGPAGYSAAFRCADLGLETVIVERYNTLGGVCLNVGCIPSKALLHVAKVIEEAKALAEHGIVFGEPKTDIDKIRTWKEKVINQLTGGLAGMAKGRKVKVVNGLGKFTGANTLEVEGENGKTVINFDNAIIAAGSRPIQLPFIPHEDPRIWDSTDALELKEVPERLLVMGGGIIGLEMGTVYHALGSQIDVVEMFDQVIPAADKDIVKVFTKRISKKFNLMLETKVTAVEAKEDGIYVTMEGKKAPAEPQRYDAVLVAIGRVPNGKNLDAGKAGVEVDDRGFIRVDKQLRTNVPHIFAIGDIVGQPMLAHKGVHEGHVAAEVIAGKKHYFDPKVIPSIAYTEPEVAWVGLTEKEAKEKGISYETATFPWAASGRAIASDCADGMTKLIFDKESHRVIGGAIVGTNGGELLGEIGLAIEMGCDAEDIALTIHAHPTLHESVGLAAEVFEGSITDLPNPKAKKK
->110
-MKMTLPFKPHVLALICSAGLCAASTGLYIKSRTVEAPVEPQSTQQTAPDITAVTLPATVSAPPVTPAVVKSAFSTAQIDQWVAPVALYPDSLLSQVLMASTYPANVAQAVQWSHDNPLKQGDAAIQAVSDQPWDASVKSLVAFPQLMALMGENPQWVQNLGDAFLAQPQDVMDSVQRLRQLAQQTGSLKSSTEQKVITTTKKAVPVKQTVTAPVIPSNTVLTASPVITEPATTVISIEPANPDVVYIPNYNPTVVYGNWANTAYPPVYLPPPAGEPFIDSFVRGFGYSMGVATTYALFSSIDWDDDDHDHHHHDDDDYHHHDGGHRDGNGWQHNGDNINIDVNNFNRITGEHLTDKNMAWRHNPNYRNGVPYHDQDMAKRFHQTDVNGGMSATQLPAPTRDSQRQAAASQFQQRTHAAPVITRDTQRQAAAQRFNEAENYGSYDDFRDFSRRQPLTQQQKDAARQRYQSASPEQRQAVREKMQTNPQIQQRRDAARERIQSASPEQRQAVREKMQTNPQIQQRRDAARERIQSASPEQRQVFKEKVQQRPLNQQQRDNARQRVQSASPEQRQVFREKVQESRPQRLNDSNHTVRLNNEQRSAVRERLSERGARRQER
->111
-MLEEYRKHVAERAAEGIAPKPLDANQMAALVELLKNPPAGEEEFLLDLLTNRVPPGVDEAAYVKAGFLAAIAKGEAKSPLLTPEKAIELLGTMQGGYNIHPLIDALDDAKLAPIAAKALSHTLLMFDNFYDVEEKAKAGNEYAKQVMQSWADAEWFLNRPALAEKLTVTVFKVTGETNTDDLSPAPDAWSRPDIPLHALAMLKNAREGIEPDQPGVVGPIKQIEALQQKGFPLAYVGDVVGTGSSRKSATNSVLWFMGDDIPHVPNKRGGGLCLGGKIAPIFFNTMEDAGALPIEVDVSNLNMGDVIDVYPYKGEVRNHETGELLATFELKTDVLIDEVRAGGRIPLIIGRGLTTKAREALGLPHSDVFRQAKDVAESDRGFSLAQKMVGRACGVKGIRPGAYCEPKMTSVGSQDTTGPMTRDELKDLACLGFSADLVMQSFCHTAAYPKPVDVNTHHTLPDFIMNRGGVSLRPGDGVIHSWLNRMLLPDTVGTGGDSHTRFPIGISFPAGSGLVAFAAATGVMPLDMPESVLVRFKGKMQPGITLRDLVHAIPLYAIKQGLLTVEKKGKKNIFSGRILEIEGLPDLKVEQAFELTDASAERSAAGCTIKLNKEPIIEYLNSNIVLLKWMIAEGYGDRRTLERRIQGMEKWLANPELLEADADAEYAAVIDIDLADIKEPILCAPNDPDDARPLSAVQGEKIDEVFIGSCMTNIGHFRAAGKLLDAHKGQLPTRLWVAPPTRMDAAQLTEEGYYSVFGKSGARIEIPGCSLCMGNQARVADGATVVSTSTRNFPNRLGTGANVFLASAELAAVAALIGKLPTPEEYQTYVAQVDKTAVDTYRYLNFNQLSQYTEKADGVIFQTAV
->112
-MDYEFLRDITGVVKVRMSMGHEVVGHWFNEEVKENLALLDEVEQAAHALKGSERSWQRAGHEYTLWMDGEEVMVRANQLEFAGDEMEEGMNYYDEESLSLCGVEDFLQVVAAYRNFVQQK
->113
-MKKLKLHGFNNLTKSLSFCIYDICYAKTAEERDGYIAYIDELYNANRLTEILSETCSIIGANILNIARQDYEPQGASVTILVSEEPVDPKLIDKTEHPGPLPETVVAHLDKSHICVHTYPESHPEGGLCTFRADIEVSTCGVISPLKALNYLIHQLESDIVTIDYRVRGFTRDINGMKHFIDHEINSIQNFMSDDMKALYDMVDVNVYQENIFHTKMLLKEFDLKHYMFHTKPEDLTDSERQEITAALWKEMREIYYGRNMPAV
->114
-MAEKKQWHETLHDQFGQYFAVDNVLYHEKTDHQDLIIFENAAFGRVMALDGVVQTTERDEFIYHEMMTHVPLLAHGHAKHVLIIGGGDGAMLREVTRHKNVESITMVEIDAGVVSFCRQYLPNHNAGSYDDPRFKLVIDDGVNFVNQTSQTFDVIISDCTDPIGPGESLFTSAFYEGCKRCLNPGGIFVAQNGVCFLQQEEAIDSHRKLSHYFSDVGFYQAAIPTYYGGIMTFAWATDNDALRHLSTEIIQARFLASGLKCRYYNPAIHTAAFALPQYLQDALASQPS
->115
-MKTFFRTVLFGSLMAVCANSYALSESEAEDMADLTAVFVFLKNDCGYQNLPNGQIRRALVFFAQQNQWDLSNYDTFDMKALGEDSYRDLSGIGIPVAKKCKALARDSLSLLAYVK
->116
-MQRRDFLKYSVALGVASALPLWSRAVFAAERPTLPIPDLLTTDARNRIQLTIGAGQSTFGEKTATTWGYNGNLLGPAVKLQRGKAVTVDIYNQLTEETTLHWHGLEVPGEVDGGPQGIILPGGKRSVTLNVDQPAATCWFHPHQHGKTGRQVAMGLAGLVVIEDDEILKLMLPKQWGIDDVPVIVQDKKFNADGQIDYQLDVMTAAVGWFGDTLLTNGAIYPQHAAPRGWLRLRLLNGCNARSLNFATSDNRPLYVIASDGGLLPEPVKVSELPVLMGERFEVLVEVNDNKPFDLVTLPVSQMGMAIAPFDKPHPVMRIQPIAISASGALPDILSSLPALPSLEGLTVRKLQLSMDPMLDMMGMQMLMEKYGDQAMAGMDHSQMMGHMGHGNMNHMNHGGKFD
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_03.pfam b/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_03.pfam
deleted file mode 100644
index 7540b612d5..0000000000
--- a/anvio/tests/sandbox/mock_data_for_pangenomics/pfam/aa_sequences_03.pfam
+++ /dev/null
@@ -1,244 +0,0 @@
-#                                                                            --- full sequence --- -------------- this domain -------------   hmm coord   ali coord   env coord
-# target name        accession   tlen query name           accession   qlen   E-value  score  bias   #  of  c-Evalue  i-Evalue  score  bias  from    to  from    to  from    to  acc description of target
-#------------------- ---------- ----- -------------------- ---------- ----- --------- ------ ----- --- --- --------- --------- ------ ----- ----- ----- ----- ----- ----- ----- ---- ---------------------
-Homoserine_dh        PF00742.17   173 0                    -            820   4.7e-49  166.5   0.0   1   1   6.8e-52   2.2e-48  164.3   0.0     1   173   614   811   614   811 0.93 Homoserine dehydrogenase
-AA_kinase            PF00696.26   241 0                    -            820     2e-46  158.4   0.3   1   1   1.9e-49   6.1e-46  156.8   0.1     3   241     2   284     1   284 0.87 Amino acid kinase family
-NAD_binding_3        PF03447.14   117 0                    -            820   7.3e-33  113.6   0.0   1   1   6.5e-36   2.1e-32  112.1   0.0     1   116   472   605   472   606 0.97 Homoserine dehydrogenase, NAD binding domain
-ACT_7                PF13840.4     65 0                    -            820   3.4e-19   68.3   1.3   1   2   4.7e-11   1.5e-07   30.9   0.0     5    63   314   374   312   376 0.90 ACT domain
-ACT_7                PF13840.4     65 0                    -            820   3.4e-19   68.3   1.3   2   2   1.7e-12   5.5e-09   35.6   0.3     3    61   393   453   391   457 0.92 ACT domain
-ACT                  PF01842.23    67 0                    -            820   1.5e-17   62.9   0.3   1   2   2.2e-11   7.1e-08   32.0   0.0     6    61   324   376   320   381 0.91 ACT domain
-ACT                  PF01842.23    67 0                    -            820   1.5e-17   62.9   0.3   2   2   5.2e-10   1.7e-06   27.5   0.5     6    51   405   447   400   453 0.81 ACT domain
-GHMP_kinases_N       PF00288.24    66 1                    -            310   2.5e-14   53.1   0.3   1   1   7.4e-18     6e-14   51.9   0.3     3    66    85   150    83   150 0.86 GHMP kinases N terminal domain
-GHMP_kinases_C       PF08544.11    85 1                    -            310   5.9e-10   39.2   2.2   1   1   8.1e-14   6.6e-10   39.1   0.0     3    77   212   281   210   288 0.89 GHMP kinases C terminal
-PALP                 PF00291.23   294 2                    -            428   3.4e-24   85.6   0.0   1   1   5.9e-28   4.8e-24   85.1   0.0    30   281    99   369    83   372 0.82 Pyridoxal-phosphate dependent enzyme
-Thr_synth_N          PF14821.4     79 2                    -            428   1.6e-14   53.7   0.1   1   1   9.2e-18   7.5e-14   51.6   0.0     7    79     8    80     4    80 0.96 Threonine synthase N terminus
-DUF2502              PF10697.7     90 3                    -             98   1.1e-15   57.6  14.4   1   1   1.1e-19   1.9e-15   56.9  14.4     1    58    25    70    25    97 0.81 Protein of unknown function (DUF2502)
-H2O2_YaaD            PF03883.12   233 4                    -            258   3.5e-91  304.7   0.0   1   1   2.4e-95   3.9e-91  304.6   0.0     1   232     1   243     1   244 0.97 Peroxide stress protein YaaA
-Na_Ala_symp          PF01235.15   393 5                    -            476  2.1e-142  474.9  25.6   1   1  1.5e-146  2.5e-142  474.7  25.6     7   393    52   453    46   453 0.96 Sodium:alanine symporter family
-TAL_FSA              PF00923.17   287 6                    -            317  5.2e-103  344.2   0.3   1   1  3.6e-107  5.9e-103  344.0   0.3     1   287    14   313    14   313 0.95 Transaldolase/Fructose-6-phosphate aldolase
-MoCF_biosynth        PF00994.22   144 7                    -            195   4.7e-28   97.5   0.0   1   1   3.6e-32   5.8e-28   97.2   0.0     2   138     8   147     7   152 0.89 Probable molybdopterin binding domain
-Grp1_Fun34_YaaH      PF01184.17   207 8                    -            188   5.2e-41  140.4  22.6   1   1   3.8e-45   6.2e-41  140.1  22.6    15   195     4   177     1   185 0.94 GPR1/FUN34/yaaH family
-Ubiq_cyt_C_chap      PF03981.10   141 9                    -            237   2.4e-23   82.7   0.2   1   1   4.5e-27   3.6e-23   82.1   0.2     1   139    58   220    58   225 0.96 Ubiquinol-cytochrome C chaperone
-DUF3944              PF13099.4     35 9                    -            237   1.2e-15   57.0   0.7   1   1   4.5e-19   3.7e-15   55.4   0.7     1    35     5    39     5    39 0.98 Domain of unknown function (DUF3944)
-DUF2541              PF10807.6    130 10                   -            134   3.2e-65  218.0   0.9   1   1   2.2e-69   3.6e-65  217.8   0.9     1   130     3   132     3   132 0.99 Protein of unknown function (DUF2541)
-HSP70                PF00012.18   599 11                   -            638  2.3e-271  901.1  16.0   1   1  3.3e-275  2.7e-271  900.9  16.0     1   597     4   602     4   604 0.99 Hsp70 protein
-MreB_Mbl             PF06723.11   327 11                   -            638   9.3e-15   54.1   2.0   1   1   1.5e-16   1.2e-12   47.1   0.5    74   316   116   376   109   381 0.78 MreB/Mbl protein
-DnaJ_C               PF01556.16   146 12                   -            371   5.3e-45  153.0   0.0   1   1   1.3e-48     7e-45  152.6   0.0     2   146   113   325   112   325 0.96 DnaJ C terminal domain
-DnaJ                 PF00226.29    63 12                   -            371   5.1e-29  100.1   4.4   1   1   1.5e-32   8.2e-29   99.4   4.4     1    63     5    67     5    67 0.99 DnaJ domain
-DnaJ_CXXCXGXG        PF00684.17    67 12                   -            371   2.3e-16   59.8  17.1   1   1   7.7e-20   4.2e-16   59.0  17.1     1    67   139   199   139   199 0.89 DnaJ central domain
-HOK_GEF              PF01848.14    42 13                   -             69   8.7e-21   72.9   5.4   1   1   6.4e-25     1e-20   72.7   5.4     1    42    25    66    25    66 0.98 Hok/gef family
-Na_H_antiport_1      PF06965.10   376 14                   -            388    2e-152  507.3  28.6   1   1  1.4e-156  2.2e-152  507.1  28.6     2   376     6   380     5   380 0.97 Na+/H+ antiporter 1
-HTH_1                PF00126.25    60 15                   -            299     6e-16   58.0   0.0   1   1   1.4e-19   1.2e-15   57.1   0.0     2    60     7    65     6    65 0.97 Bacterial regulatory helix-turn-helix protein, lysR family
-LysR_substrate       PF03466.18   209 15                   -            299   2.6e-10   39.9   0.0   1   1   4.4e-14   3.6e-10   39.4   0.0    10   199    97   284    90   288 0.93 LysR substrate binding domain
-Usher                PF00577.18   551 17                   -            381   1.2e-58  199.3  13.9   1   1   1.6e-62   1.3e-58  199.1  13.9   266   551     1   298     1   298 0.94 Outer membrane usher protein
-PapC_C               PF13953.4     66 17                   -            381   2.1e-09   37.0   0.0   1   1   5.4e-13   4.4e-09   35.9   0.0     2    63   308   369   307   370 0.96 PapC C-terminal domain
-Ribosomal_S20p       PF01649.16    82 19                   -             87   1.6e-27   95.8  16.2   1   1   1.1e-31   1.7e-27   95.7  16.2     1    82     2    84     2    84 0.99 Ribosomal protein S20
-FAD_syn              PF06574.10   158 20                   -            313   4.4e-58  195.5   0.0   1   1   7.4e-62     6e-58  195.1   0.0     3   158    13   168    11   168 0.98 FAD synthetase
-Flavokinase          PF01687.15   111 20                   -            313   2.4e-37  127.5   0.0   1   1   5.1e-41   4.2e-37  126.7   0.0     1   111   185   307   185   307 0.95 Riboflavin kinase
-tRNA-synt_1          PF00133.20   602 21                   -            938  2.3e-235  782.3   0.0   1   1    1e-238  2.7e-235  782.1   0.0     2   601    28   640    27   641 0.98 tRNA synthetases class I (I, L, M and V)
-Anticodon_1          PF08264.11   152 21                   -            938   1.6e-27   96.2   0.0   1   1   1.1e-30     3e-27   95.3   0.0     1   150   685   840   685   842 0.89 Anticodon-binding domain of tRNA
-tRNA-synt_1g         PF09334.9    391 21                   -            938   6.2e-20   71.2   0.1   1   1   6.9e-14   1.9e-10   40.0   0.0     8    69    58   120    53   243 0.65 tRNA synthetases class I (M)
-zf-FPG_IleRS         PF06827.12    30 21                   -            938   1.7e-09   37.2   3.9   1   1   6.3e-13   1.7e-09   37.2   3.9     1    29   898   926   898   927 0.96 Zinc finger found in FPG and IleRS
-tRNA-synt_1e         PF01406.17   301 21                   -            938     1e-08   34.7   0.0   1   1     1e-09   2.8e-06   26.8   0.0   226   299   574   648   547   650 0.83 tRNA synthetases class I (C) catalytic domain
-tRNA-synt_1_2        PF13603.4    185 21                   -            938   8.2e-07   28.6   0.0   1   1   5.6e-10   1.5e-06   27.7   0.0    11   142   223   359   219   369 0.80 Leucyl-tRNA synthetase, Domain 2
-Peptidase_A8         PF01252.16   130 22                   -            164   4.3e-35  120.8   8.7   1   1     3e-39   4.9e-35  120.7   8.7     2   128    16   155    15   157 0.88 Signal peptidase (SPase) II
-FKBP_C               PF00254.26    94 23                   -            149   1.5e-15   57.1   0.0   1   1   1.3e-19   2.2e-15   56.6   0.0     5    94     5   141     2   141 0.85 FKBP-type peptidyl-prolyl cis-trans isomerase
-LYTB                 PF02401.16   265 24                   -            316   1.4e-92  309.6   0.0   1   1   9.6e-97   1.6e-92  309.4   0.0     1   264     3   282     3   283 0.94 LytB protein
-IU_nuc_hydro         PF01156.17   304 25                   -            304   4.4e-81  272.7   0.0   1   1   3.1e-85   5.1e-81  272.4   0.0     2   303     4   293     3   294 0.90 Inosine-uridine preferring nucleoside hydrolase
-DapB_C               PF05173.12   121 26                   -            273   4.7e-43  145.9   0.2   1   1   8.1e-47   6.6e-43  145.5   0.2     1   121   132   268   132   268 0.92 Dihydrodipicolinate reductase, C-terminus
-DapB_N               PF01113.18   124 26                   -            273   5.8e-42  142.6   0.6   1   1   3.2e-45   2.6e-41  140.5   0.1     1   124     6   129     6   129 0.99 Dihydrodipicolinate reductase, N-terminus
-CPSase_sm_chain      PF00988.20   127 27                   -            382   1.2e-52  176.9   0.1   1   1   3.9e-56   2.1e-52  176.1   0.1     2   127     5   132     4   132 0.98 Carbamoyl-phosphate synthase small chain, CPSase domain
-GATase               PF00117.26   190 27                   -            382   6.2e-51  172.7   0.0   1   1   2.5e-54   1.3e-50  171.6   0.0     3   189   197   372   195   373 0.96 Glutamine amidotransferase class-I
-Peptidase_C26        PF07722.11   216 27                   -            382   8.3e-08   32.1   0.1   1   1   6.5e-10   3.5e-06   26.8   0.1    93   216   250   355   238   355 0.74 Peptidase C26
-CPSase_L_D2          PF02786.15   211 28                   -           1073  9.3e-118  391.1   2.6   1   2   5.9e-81   1.6e-77  259.6   0.0     1   210   128   334   128   335 0.99 Carbamoyl-phosphate synthase L chain, ATP binding domain
-CPSase_L_D2          PF02786.15   211 28                   -           1073  9.3e-118  391.1   2.6   2   2   1.3e-41   3.5e-38  131.1   0.7     1   210   674   876   674   877 0.95 Carbamoyl-phosphate synthase L chain, ATP binding domain
-CPSase_L_D3          PF02787.17   123 28                   -           1073   1.7e-40  138.0   0.1   1   1   1.6e-43   4.3e-40  136.7   0.1     2   123   427   547   426   547 0.96 Carbamoyl-phosphate synthetase large chain, oligomerisation domain
-MGS                  PF02142.20    95 28                   -           1073   6.3e-19   67.8   0.6   1   1   1.1e-21   3.1e-18   65.6   0.0     2    94   957  1041   956  1042 0.97 MGS-like domain
-ATP-grasp            PF02222.20   171 28                   -           1073   3.3e-15   55.9   0.5   1   2   1.8e-08     5e-05   22.8   0.0     2   161   137   305   136   313 0.81 ATP-grasp domain
-ATP-grasp            PF02222.20   171 28                   -           1073   3.3e-15   55.9   0.5   2   2   5.9e-11   1.6e-07   30.9   0.3     2   160   683   846   682   849 0.85 ATP-grasp domain
-ATP-grasp_3          PF02655.12   161 28                   -           1073   2.3e-11   43.9   0.7   1   1     4e-11   1.1e-07   31.9   0.0     5   158   676   846   672   849 0.79 ATP-grasp domain
-CaiF_GrlA            PF07180.9    146 30                   -            131   1.1e-06   28.6   0.1   1   1   8.2e-11   1.3e-06   28.3   0.1    19    75     5    61     2    97 0.90 CaiF/GrlA transcriptional regulator
-Hexapep              PF00132.22    36 31                   -            196   2.2e-14   52.4  14.6   1   2   1.6e-09   2.5e-05   23.7   0.1     3    32    12    41    11    45 0.88 Bacterial transferase hexapeptide (six repeats)
-Hexapep              PF00132.22    36 31                   -            196   2.2e-14   52.4  14.6   2   2   6.9e-12   1.1e-07   31.1   0.4     1    35    88   122    88   123 0.95 Bacterial transferase hexapeptide (six repeats)
-ECH_1                PF00378.18   251 32                   -            261   3.3e-87  291.8   0.0   1   1   4.5e-91   3.7e-87  291.7   0.0     2   250     9   260     8   261 0.98 Enoyl-CoA hydratase/isomerase
-ECH_2                PF16113.3    334 32                   -            261   2.8e-32  112.4   0.0   1   1   4.1e-36   3.3e-32  112.2   0.0     3   206    15   218    13   246 0.87 Enoyl-CoA hydratase/isomerase
-AMP-binding          PF00501.26   423 33                   -            517   7.2e-90  301.4   0.0   1   1     1e-93   8.5e-90  301.2   0.0     5   422    17   426    13   427 0.87 AMP-binding enzyme
-AMP-binding_C        PF13193.4     74 33                   -            517   1.2e-15   58.1   0.0   1   1   3.7e-19     3e-15   56.8   0.0     1    74   435   510   435   510 0.94 AMP-binding enzyme C-terminal domain
-CoA_transf_3         PF02515.15   368 34                   -            405   7.8e-79  265.3   0.0   1   1   5.4e-83   8.8e-79  265.1   0.0     1   368    12   378    12   378 0.96 CoA-transferase family III
-Acyl-CoA_dh_1        PF00441.22   150 35                   -            380   3.7e-46  156.9   1.3   1   1   1.2e-49     5e-46  156.5   1.3     1   150   227   376   227   376 0.99 Acyl-CoA dehydrogenase, C-terminal domain
-Acyl-CoA_dh_M        PF02770.17    97 35                   -            380   7.4e-22   77.2   0.0   1   1   4.6e-25   1.9e-21   75.9   0.0     3    97   123   215   121   215 0.94 Acyl-CoA dehydrogenase, middle domain
-Acyl-CoA_dh_N        PF02771.14   113 35                   -            380   5.1e-15   56.0   0.0   1   1   2.8e-18   1.1e-14   54.9   0.0     1   104     6   108     6   111 0.93 Acyl-CoA dehydrogenase, N-terminal domain
-Acyl-CoA_dh_2        PF08028.9    134 35                   -            380   7.4e-15   55.3   0.6   1   1   2.8e-18   1.1e-14   54.7   0.6     4   125   245   356   242   359 0.94 Acyl-CoA dehydrogenase, C-terminal domain
-BCCT                 PF02028.15   485 36                   -            504  5.6e-115  384.4  41.6   1   1  3.9e-119  6.3e-115  384.3  41.6     1   484    14   500    14   501 0.98 BCCT, betaine/carnitine/choline family transporter
-ETF                  PF01012.19   182 37                   -            256   5.2e-39  133.9   3.6   1   1   3.7e-43   6.1e-39  133.7   3.6     7   181    28   210    22   211 0.93 Electron transfer flavoprotein domain
-ETF_alpha            PF00766.17    84 38                   -            313   3.4e-30  103.8   0.1   1   1   1.1e-33   8.9e-30  102.4   0.1     1    84   190   274   190   274 0.97 Electron transfer flavoprotein FAD-binding domain
-ETF                  PF01012.19   182 38                   -            313   6.4e-14   52.1   1.3   1   1   1.2e-17     1e-13   51.5   1.3    51   178    43   169    19   195 0.88 Electron transfer flavoprotein domain
-DAO                  PF01266.22   336 39                   -            428   1.6e-16   60.8   1.8   1   2   4.9e-10   6.2e-07   29.2   0.3     1    49     7    54     7    92 0.80 FAD dependent oxidoreductase
-DAO                  PF01266.22   336 39                   -            428   1.6e-16   60.8   1.8   2   2   1.5e-10   1.9e-07   30.9   0.1   143   335   109   329   100   330 0.61 FAD dependent oxidoreductase
-FAD_binding_3        PF01494.17   356 39                   -            428   5.4e-12   45.5   6.5   1   1   3.1e-14   3.9e-11   42.7   6.5     3   197     7   189     6   311 0.66 FAD binding domain
-FAD_oxidored         PF12831.5    433 39                   -            428   2.1e-09   37.1   1.1   1   1   1.7e-12   2.1e-09   37.1   1.1     1   140     7   157     7   168 0.74 FAD dependent oxidoreductase
-FAD_binding_2        PF00890.22   417 39                   -            428   2.2e-09   36.8   8.0   1   1     4e-09     5e-06   25.7   4.1     1    35     7    41     7    55 0.91 FAD binding domain
-HI0933_like          PF03486.12   409 39                   -            428   8.4e-09   34.5   4.1   1   1   2.5e-11   3.2e-08   32.6   4.1     2   167     7   165     6   185 0.86 HI0933-like protein
-NAD_binding_8        PF13450.4     68 39                   -            428   2.3e-08   34.0   1.0   1   1   7.3e-11   9.2e-08   32.1   0.6     1    34    10    43    10    73 0.85 NAD(P)-binding Rossmann-like domain
-GIDA                 PF01134.20   392 39                   -            428     9e-08   31.5   0.8   1   1   7.1e-11     9e-08   31.5   0.8     1   150     7   162     7   194 0.82 Glucose inhibited division protein A
-Trp_halogenase       PF04820.12   454 39                   -            428   1.3e-07   30.8   3.9   1   1   8.9e-08   0.00011   21.1   0.0   140   216    90   169    61   186 0.83 Tryptophan halogenase
-Sugar_tr             PF00083.22   452 41                   -            443   2.8e-52  178.0  23.9   1   1   4.8e-56   3.9e-52  177.5  23.9    14   449    32   433    21   435 0.91 Sugar (and other) transporter
-MFS_1                PF07690.14   353 41                   -            443   4.7e-36  124.3  63.2   1   1   1.6e-37   1.3e-33  116.3  33.9     7   352    29   386    25   387 0.82 Major Facilitator Superfamily
-Flavodoxin_2         PF02525.15   198 42                   -            176   3.6e-41  140.9   0.0   1   1   5.3e-45   4.4e-41  140.7   0.0     3   198     2   167     1   167 0.91 Flavodoxin-like fold
-FMN_red              PF03358.13   155 42                   -            176   1.5e-07   31.2   0.0   1   1   2.6e-11   2.1e-07   30.7   0.0    62   126    45   115     8   137 0.80 NADPH-dependent FMN reductase
-Na_H_Exchanger       PF00999.19   381 43                   -            620   7.2e-62  209.2  47.1   1   1   1.2e-65   9.6e-62  208.8  47.1     2   379    11   374    10   379 0.94 Sodium/hydrogen exchanger family
-TrkA_N               PF02254.16   116 43                   -            620   1.3e-26   93.0   0.0   1   1   4.3e-30   3.5e-26   91.6   0.0     1   111   402   512   402   514 0.97 TrkA-N domain
-DHFR_1               PF00186.17   161 44                   -            196   6.2e-58  194.9   0.0   1   1   4.5e-62   7.4e-58  194.7   0.0     1   161    38   195    38   195 0.98 Dihydrofolate reductase
-DUF4291              PF14124.4    181 46                   -            199   2.3e-65  219.7   0.1   1   1   1.6e-69   2.6e-65  219.5   0.1     1   181     6   184     6   184 0.99 Domain of unknown function (DUF4291)
-Metallophos          PF00149.26   204 47                   -            282   1.2e-13   51.9   0.1   1   1   1.8e-17   2.9e-13   50.6   0.1     4   128     4   139     1   230 0.71 Calcineurin-like phosphoesterase
-DUF525               PF04379.12    87 48                   -            125   1.3e-33  114.9   0.0   1   1   9.9e-38   1.6e-33  114.6   0.0     2    86    18   102    17   103 0.98 ApaG domain
-RrnaAD               PF00398.18   265 49                   -            273   2.8e-89  298.6   0.0   1   1   1.9e-93   3.1e-89  298.4   0.0     2   264     9   265     8   266 0.98 Ribosomal RNA adenine dimethylase
-PdxA                 PF04166.10   282 50                   -            329  4.6e-110  367.3   0.0   1   1  3.5e-114  5.6e-110  367.0   0.0     5   282    34   321    31   321 0.96 Pyridoxal phosphate biosynthetic protein PdxA
-Rotamase             PF00639.19    96 51                   -            428   2.2e-49  166.2   0.0   1   2   5.8e-24   1.9e-20   73.5   0.0     1    96   178   272   178   272 0.97 PPIC-type PPIASE domain
-Rotamase             PF00639.19    96 51                   -            428   2.2e-49  166.2   0.0   2   2   5.9e-29   1.9e-25   89.5   0.0     1    94   289   380   289   382 0.98 PPIC-type PPIASE domain
-Rotamase_3           PF13616.4    116 51                   -            428   2.8e-47  159.9   0.0   1   2   2.6e-21   8.4e-18   64.9   0.0     7   114   165   272   155   274 0.91 PPIC-type PPIASE domain
-Rotamase_3           PF13616.4    116 51                   -            428   2.8e-47  159.9   0.0   2   2   7.4e-30   2.4e-26   92.4   0.0    13   115   282   383   275   384 0.93 PPIC-type PPIASE domain
-SurA_N               PF09312.9    118 51                   -            428   1.2e-45  154.3   9.0   1   1   3.6e-49   1.2e-45  154.3   9.0     1   118    25   142    25   142 0.99 SurA N-terminal domain
-Rotamase_2           PF13145.4    121 51                   -            428   1.1e-16   61.7   0.9   1   2   2.1e-10   6.8e-07   30.1   0.0    33   111   196   276   182   287 0.65 PPIC-type PPIASE domain
-Rotamase_2           PF13145.4    121 51                   -            428   1.1e-16   61.7   0.9   2   2   5.3e-10   1.7e-06   28.8   0.1    33   110   302   385   293   396 0.65 PPIC-type PPIASE domain
-SurA_N_3             PF13624.4    162 51                   -            428   3.3e-14   52.9   4.6   1   1     4e-17   1.3e-13   50.9   4.6    40   161    24   141     4   142 0.84 SurA N-terminal domain
-OstA_C               PF04453.12   387 52                   -            784  1.1e-112  377.0  31.6   1   1  2.4e-116    2e-112  376.1  31.6     2   387   309   697   308   697 0.99 Organic solvent tolerance protein
-OstA                 PF03968.12   113 52                   -            784   9.5e-29   99.8   0.0   1   1   2.6e-32   2.1e-28   98.7   0.0     1   112    53   194    53   195 0.98 OstA-like protein
-DnaJ                 PF00226.29    63 53                   -            271   3.8e-11   42.8   0.1   1   1   8.7e-15   7.1e-11   41.9   0.1     4    56   208   267   205   269 0.85 DnaJ domain
-TerB                 PF05099.11   144 53                   -            271   4.9e-10   39.4   0.8   1   1     6e-14   4.9e-10   39.4   0.8    20   141    47   170    32   173 0.88 Tellurite resistance protein TerB
-PseudoU_synth_2      PF00849.20   161 54                   -            219   2.1e-29  102.6   0.0   1   1   1.6e-33   2.5e-29  102.3   0.0     1   160    22   169    22   170 0.92 RNA pseudouridylate synthase
-RapA_C               PF12137.6    360 55                   -            968  2.1e-158  526.9   1.4   1   1  7.8e-162  3.2e-158  526.3   1.4     1   360   605   965   605   965 0.99 RNA polymerase recycling family C-terminal
-SNF2_N               PF00176.21   350 55                   -            968   5.2e-19   68.0   0.0   1   1   2.2e-22     9e-19   67.2   0.0    59   293   174   441   165   461 0.85 SNF2 family N-terminal domain
-Helicase_C           PF00271.29   111 55                   -            968   7.7e-18   64.8   0.0   1   1   9.9e-20     4e-16   59.2   0.0     7   111   495   601   490   601 0.87 Helicase conserved C-terminal domain
-ResIII               PF04851.13   171 55                   -            968   3.4e-10   40.1   0.0   1   1   2.3e-13   9.5e-10   38.6   0.0    22   170   168   317   115   318 0.74 Type III restriction enzyme, res subunit
-DNA_pol_B            PF00136.19   464 56                   -            783   1.1e-42  146.3   0.0   1   1   5.8e-46   4.7e-42  144.1   0.0    30   415   382   735   366   762 0.80 DNA polymerase family B
-DNA_pol_B_exo1       PF03104.17   337 56                   -            783   6.5e-14   51.7   0.0   1   2   6.3e-09   5.1e-05   22.4   0.0    65   173    74   164    63   168 0.79 DNA polymerase family B, exonuclease domain
-DNA_pol_B_exo1       PF03104.17   337 56                   -            783   6.5e-14   51.7   0.0   2   2   2.7e-10   2.2e-06   26.9   0.0   241   337   204   296   188   296 0.74 DNA polymerase family B, exonuclease domain
-Aldolase_II          PF00596.19   186 57                   -            231   9.6e-49  165.7   0.4   1   1   7.2e-53   1.2e-48  165.4   0.4     2   184     8   196     7   198 0.91 Class II Aldolase and Adducin N-terminal domain
-Arabinose_Isome      PF02610.13   356 58                   -            500  6.6e-180  597.8   0.2   1   1  9.7e-184  7.9e-180  597.5   0.2     2   356     5   359     4   359 1.00 L-arabinose isomerase
-Arabinose_Iso_C      PF11762.6    114 58                   -            500   7.3e-46  154.6   0.0   1   1     3e-49   2.5e-45  152.9   0.0     1   114   363   476   363   476 0.99 L-arabinose isomerase C-terminal domain
-FGGY_C               PF02782.14   198 59                   -            566   1.4e-36  125.9   0.5   1   1   2.9e-40   2.3e-36  125.2   0.5     3   198   291   501   289   501 0.86 FGGY family of carbohydrate kinases, C-terminal domain
-AraC_binding         PF02311.17   136 60                   -            292   1.4e-25   89.7   0.5   1   1   2.5e-29   1.4e-25   89.7   0.5     4   136    23   160    20   160 0.91 AraC-like ligand binding domain
-HTH_AraC             PF00165.21    42 60                   -            292   2.2e-21   75.3   0.1   1   2     6e-13   3.2e-09   36.5   0.0     3    41   188   227   186   228 0.90 Bacterial regulatory helix-turn-helix proteins, AraC family
-HTH_AraC             PF00165.21    42 60                   -            292   2.2e-21   75.3   0.1   2   2   3.2e-12   1.7e-08   34.2   0.0     2    41   240   277   239   278 0.96 Bacterial regulatory helix-turn-helix proteins, AraC family
-HTH_18               PF12833.5     81 60                   -            292     2e-20   72.7   0.6   1   1   9.2e-24     5e-20   71.4   0.0     1    80   200   278   200   279 0.97 Helix-turn-helix domain
-SNARE_assoc          PF09335.9    120 61                   -            254   1.2e-18   67.6   9.8   1   1   9.1e-23   1.5e-18   67.3   1.7     1   118    36   159    36   161 0.88 SNARE associated Golgi protein
-ABC_tran             PF00005.25   137 62                   -            232   2.2e-37  128.5   0.0   1   1   4.5e-41   3.7e-37  127.8   0.0     4   136    18   157    16   158 0.96 ABC transporter
-BPD_transp_1         PF00528.20   185 63                   -            536   2.3e-16   59.9  21.0   1   2   2.2e-15   3.6e-11   43.0   9.1     5   181    74   266    70   273 0.83 Binding-protein-dependent transport system inner membrane component
-BPD_transp_1         PF00528.20   185 63                   -            536   2.3e-16   59.9  21.0   2   2   1.1e-11   1.7e-07   31.0   4.0    25   172   376   523   361   533 0.82 Binding-protein-dependent transport system inner membrane component
-SBP_bac_6            PF13343.4    243 64                   -            327   3.4e-17   62.6   2.5   1   1     8e-21   4.4e-17   62.2   2.5     1   222    73   289    73   306 0.81 Bacterial extracellular solute-binding protein
-SBP_bac_1            PF01547.23   315 64                   -            327   3.2e-16   60.0   6.7   1   1   8.5e-20   4.6e-16   59.5   6.7    16   314    42   272    29   273 0.83 Bacterial extracellular solute-binding protein
-SBP_bac_11           PF13531.4    230 64                   -            327   1.6e-15   57.4   0.2   1   1   4.1e-19   2.2e-15   56.9   0.2    16   223    40   274    22   277 0.80 Bacterial extracellular solute-binding protein
-SgrR_N               PF12793.5    115 65                   -            551   2.6e-42  143.5   5.9   1   1   3.1e-46   2.6e-42  143.5   5.9     1   115     5   118     5   118 0.99 Sugar transport-related sRNA regulator N-term
-SBP_bac_5            PF00496.20   377 65                   -            551   3.8e-20   72.1   0.0   1   1   5.9e-23   4.8e-19   68.4   0.0     3   162   165   306   163   317 0.91 Bacterial extracellular solute-binding proteins, family 5 Middle
-SgrT                 PF15894.3     49 66                   -             43     1e-11   44.4   2.7   1   1   7.2e-16   1.2e-11   44.2   2.7     3    39     3    37     1    41 0.95 Inhibitor of glucose uptake transporter SgrT
-MFS_1                PF07690.14   353 67                   -            392   4.2e-38  131.0  82.0   1   2   1.1e-29   8.8e-26   90.5  44.4     2   341    19   344    18   345 0.88 Major Facilitator Superfamily
-MFS_1                PF07690.14   353 67                   -            392   4.2e-38  131.0  82.0   2   2   1.1e-18   9.2e-15   54.3  29.6     1   167   220   385   220   391 0.93 Major Facilitator Superfamily
-Aconitase_C          PF00694.17   131 68                   -            201   3.8e-40  137.1   0.0   1   1   3.2e-44   5.1e-40  136.7   0.0     2   130     3   126     2   127 0.97 Aconitase C-terminal domain
-Aconitase            PF00330.18   462 69                   -            466  5.8e-161  536.4   0.4   1   1  4.1e-165  6.7e-161  536.2   0.4     1   462     7   457     7   457 0.96 Aconitase family (aconitate hydratase)
-Iso_dh               PF00180.18   348 70                   -            363  2.8e-139  464.0   0.0   1   1  1.9e-143  3.2e-139  463.8   0.0     1   348     6   355     6   355 0.99 Isocitrate/isopropylmalate dehydrogenase
-HMGL-like            PF00682.17   264 71                   -            523  5.2e-106  353.9   4.4   1   1  9.9e-110  8.1e-106  353.3   4.4     1   264     4   273     4   273 0.99 HMGL-like
-LeuA_dimer           PF08502.8    133 71                   -            523   8.9e-36  122.6   0.3   1   1   2.3e-39   1.9e-35  121.5   0.3     1   132   369   499   369   500 0.97 LeuA allosteric (dimerisation) domain
-HTH_1                PF00126.25    60 72                   -            314   2.4e-18   65.7   0.0   1   1   5.5e-22   4.5e-18   64.8   0.0     1    58    24    81    24    82 0.97 Bacterial regulatory helix-turn-helix protein, lysR family
-LysR_substrate       PF03466.18   209 72                   -            314     2e-16   59.9   0.0   1   1   3.7e-20     3e-16   59.3   0.0    31   205   137   309   110   313 0.89 LysR substrate binding domain
-TPP_enzyme_N         PF02776.16   172 73                   -            574   6.8e-61  204.7   0.7   1   1   1.3e-61     7e-58  194.9   0.2     2   166     5   168     4   173 0.98 Thiamine pyrophosphate enzyme, N-terminal TPP binding domain
-TPP_enzyme_C         PF02775.19   153 73                   -            574   3.1e-51  173.1   0.3   1   1   1.1e-52   6.2e-49  165.6   0.0     1   153   394   545   394   545 0.94 Thiamine pyrophosphate enzyme, C-terminal TPP binding domain
-TPP_enzyme_M         PF00205.20   137 73                   -            574   8.1e-47  158.3   0.1   1   1   2.7e-50   1.4e-46  157.5   0.1     1   136   196   330   196   331 0.99 Thiamine pyrophosphate enzyme, central domain
-ALS_ss_C             PF10369.7     74 74                   -            163   1.3e-24   86.0   0.4   1   1   5.8e-27   3.1e-23   81.6   0.1     1    74    84   158    84   158 0.97 Small subunit of acetolactate synthase
-ACT_5                PF13710.4     62 74                   -            163   1.4e-15   56.7   0.1   1   1   5.3e-19   2.9e-15   55.7   0.1     2    62    12    73    11    73 0.97 ACT domain
-ACT                  PF01842.23    67 74                   -            163   4.7e-15   54.9   0.0   1   1   1.5e-18   8.1e-15   54.2   0.0     2    66     4    68     3    69 0.97 ACT domain
-LacI                 PF00356.19    46 75                   -            334   2.2e-19   68.8   0.8   1   1   1.2e-22   4.8e-19   67.7   0.8     1    46     2    50     2    50 0.98 Bacterial regulatory proteins, lacI family
-Peripla_BP_1         PF00532.19   279 75                   -            334   3.5e-14   52.8   0.0   1   1   1.1e-17   4.6e-14   52.4   0.0     2   267    62   312    61   327 0.84 Periplasmic binding proteins and sugar binding domain of LacI family
-Peripla_BP_3         PF13377.4    164 75                   -            334   3.6e-11   43.5   0.1   1   1   2.7e-13   1.1e-09   38.6   0.0    10   158   180   325   171   329 0.82 Periplasmic binding protein-like domain
-Peripla_BP_4         PF13407.4    258 75                   -            334   1.8e-09   37.5   0.0   1   1   5.4e-13   2.2e-09   37.1   0.0     1   226    64   282    64   310 0.83 Periplasmic binding protein domain
-MraZ                 PF02381.16    72 76                   -            152   3.7e-49  164.5   0.0   1   2   2.3e-29   3.7e-25   87.6   0.0     1    71     1    75     1    76 0.98 MraZ protein, putative antitoxin-like
-MraZ                 PF02381.16    72 76                   -            152   3.7e-49  164.5   0.0   2   2   1.7e-25   2.7e-21   75.2   0.0     1    59    77   135    77   147 0.92 MraZ protein, putative antitoxin-like
-Methyltransf_5       PF01795.17   309 77                   -            313    5e-124  413.7   0.0   1   1  3.4e-128  5.6e-124  413.5   0.0     2   308     5   310     4   311 0.97 MraW methylase family
-FtsL                 PF04999.11    97 78                   -            121   1.5e-35  120.9   0.2   1   1   1.1e-39   1.8e-35  120.7   0.2     2    96    25   119    24   120 0.97 Cell division protein FtsL
-Transpeptidase       PF00905.20   306 79                   -            588   3.3e-84  282.5   0.1   1   1   5.2e-88   4.3e-84  282.2   0.1     1   305   260   554   260   555 0.96 Penicillin binding protein transpeptidase domain
-PBP_dimer            PF03717.13   180 79                   -            588   7.4e-23   81.7   0.0   1   1     3e-25   2.4e-21   76.7   0.0     5   178    70   220    66   222 0.90 Penicillin-binding Protein dimerisation domain
-Mur_ligase_M         PF08245.10   192 80                   -            495   9.7e-52  175.6   0.1   1   1   2.7e-55   1.5e-51  175.0   0.1     1   191   114   318   114   319 0.93 Mur ligase middle domain
-Mur_ligase_C         PF02875.19    91 80                   -            495   2.7e-26   91.5   0.0   1   1   2.8e-29   1.5e-25   89.1   0.0     1    91   339   425   339   425 0.96 Mur ligase family, glutamate ligase domain
-Mur_ligase           PF01225.23    88 80                   -            495   1.7e-12   47.3   0.9   1   1     2e-15   1.1e-11   44.8   0.3     5    88    25   102    22   102 0.93 Mur ligase family, catalytic domain
-Mur_ligase_M         PF08245.10   192 81                   -            452   2.4e-52  177.6   0.0   1   1   8.2e-56   4.5e-52  176.7   0.0     2   191   106   292   105   293 0.98 Mur ligase middle domain
-Mur_ligase_C         PF02875.19    91 81                   -            452   3.6e-16   59.1   0.0   1   1   3.2e-19   1.8e-15   56.8   0.0     1    82   313   394   313   403 0.93 Mur ligase family, glutamate ligase domain
-Mur_ligase           PF01225.23    88 81                   -            452   6.7e-10   39.0   0.0   1   1   5.6e-13     3e-09   36.9   0.0     4    53    26    80    23   105 0.79 Mur ligase family, catalytic domain
-Glycos_transf_4      PF00953.19   160 82                   -            360   1.3e-33  116.1  16.2   1   1   1.6e-37   1.3e-33  116.1  16.2     2   159    99   284    98   285 0.90 Glycosyl transferase family 4
-MraY_sig1            PF10555.7     13 82                   -            360   9.1e-06   24.8   3.3   1   1   1.1e-09   9.1e-06   24.8   3.3     1    13    68    80    68    80 0.97 Phospho-N-acetylmuramoyl-pentapeptide-transferase signature 1
-Mur_ligase_M         PF08245.10   192 83                   -            438   3.1e-29  102.2   0.1   1   1   6.3e-33   5.1e-29  101.5   0.1     1   192   110   280   110   280 0.84 Mur ligase middle domain
-Mur_ligase_C         PF02875.19    91 83                   -            438   3.7e-11   43.0   0.0   1   1   2.7e-14   2.2e-10   40.5   0.0     2    81   301   373   300   379 0.88 Mur ligase family, glutamate ligase domain
-FTSW_RODA_SPOVE      PF01098.17   359 84                   -            414  3.5e-131  437.4  23.8   1   1  2.5e-135  4.1e-131  437.1  23.8     2   358    47   402    46   403 0.99 Cell cycle protein
-Glyco_transf_28      PF03033.18   139 85                   -            355   2.6e-49  166.7   0.2   1   1   1.3e-52   5.4e-49  165.7   0.2     2   138     9   145     8   146 0.99 Glycosyltransferase family 28 N-terminal domain
-Glyco_tran_28_C      PF04101.14   167 85                   -            355   4.3e-37  127.5   0.1   1   1   1.5e-40   6.1e-37  127.0   0.1     2   166   185   344   184   345 0.91 Glycosyltransferase family 28 C-terminal domain
-Glyco_transf_4       PF13439.4    170 85                   -            355   2.1e-08   34.2   0.1   1   1   2.3e-11   9.6e-08   32.1   0.1    10   107    24   129    15   166 0.77 Glycosyltransferase Family 4
-Mur_ligase           PF01225.23    88 86                   -            491   3.9e-30  103.9   0.3   1   1   1.7e-33     9e-30  102.7   0.3     1    86    21   118    21   120 0.98 Mur ligase family, catalytic domain
-Mur_ligase_M         PF08245.10   192 86                   -            491   3.9e-28   98.6   0.0   1   1     1e-31   5.7e-28   98.1   0.0     1   192   124   304   124   304 0.91 Mur ligase middle domain
-Mur_ligase_C         PF02875.19    91 86                   -            491   5.1e-20   71.4   0.0   1   1   3.1e-23   1.7e-19   69.7   0.0     4    89   327   418   324   420 0.85 Mur ligase family, glutamate ligase domain
-Dala_Dala_lig_C      PF07478.11   204 87                   -            306   1.2e-72  243.6   0.0   1   1   3.6e-76   1.5e-72  243.3   0.0     1   204   103   303   103   303 0.99 D-ala D-ala ligase C-terminus
-Dala_Dala_lig_N      PF01820.19    80 87                   -            306   3.3e-21   75.0   0.1   1   1   1.5e-24   6.2e-21   74.2   0.1     1    80     4    86     4    86 0.86 D-ala D-ala ligase N-terminus
-CPSase_L_D2          PF02786.15   211 87                   -            306   1.2e-07   31.3   0.0   1   1   1.5e-10   6.2e-07   29.0   0.0    27   179   127   274    96   301 0.82 Carbamoyl-phosphate synthase L chain, ATP binding domain
-FtsQ                 PF03799.13   114 88                   -            276     1e-27   97.1   0.1   1   1     2e-31   1.6e-27   96.4   0.1     1   114   130   247   130   247 0.88 Cell division protein FtsQ
-POTRA_1              PF08478.8     69 88                   -            276   6.4e-20   71.1   0.1   1   1   1.7e-23   1.4e-19   70.0   0.1     2    69    56   126    55   126 0.97 POTRA domain, FtsQ-type
-FtsA                 PF14450.4    103 89                   -            420     4e-34  117.0   1.3   1   1   2.3e-28   9.3e-25   86.9   0.0     1   103   207   381   207   381 0.90 Cell division protein FtsA
-SHS2_FTSA            PF02491.18    79 89                   -            420   2.3e-30  104.7   2.2   1   1   1.2e-33   4.8e-30  103.7   2.2     1    79    85   162    85   162 0.99 SHS2 domain inserted in FTSA
-PilM_2               PF11104.6    340 89                   -            420   2.7e-10   39.7   0.4   1   1   1.6e-10   6.4e-07   28.6   0.1   107   237   133   261    12   265 0.74 Type IV pilus assembly protein PilM;
-MreB_Mbl             PF06723.11   327 89                   -            420   5.6e-10   38.4   0.2   1   1   1.4e-13   5.6e-10   38.4   0.2   144   304   203   359   162   370 0.77 MreB/Mbl protein
-Tubulin              PF00091.23   197 90                   -            383     3e-42  144.9   0.6   1   1   5.3e-46   4.3e-42  144.4   0.6     2   196    13   172    12   173 0.98 Tubulin/FtsZ family, GTPase domain
-FtsZ_C               PF12327.6     95 90                   -            383   7.8e-38  128.6   1.2   1   1   2.9e-41   2.3e-37  127.0   1.2     1    94   221   315   221   316 0.99 FtsZ family, C-terminal domain
-LpxC                 PF03331.11   270 91                   -            305  7.1e-109  363.3   0.0   1   1    5e-113  8.2e-109  363.1   0.0     1   269     4   276     4   277 0.98 UDP-3-O-acyl N-acetylglycosamine deacetylase
-SecM                 PF06558.10   146 92                   -            195   1.1e-53  181.1   1.2   1   1     8e-58   1.3e-53  180.9   1.2     1   145    49   192    49   193 0.97 Secretion monitor precursor protein (SecM)
-SecA_DEAD            PF07517.12   290 93                   -            901    5e-132  439.4   0.3   1   1  2.2e-135  9.1e-132  438.6   0.3     2   290     7   402     6   402 0.97 SecA DEAD-like domain
-SecA_SW              PF07516.11   199 93                   -            901   7.4e-69  231.7   5.3   1   1   1.8e-72   7.4e-69  231.7   5.3     1   199   617   830   617   830 0.97 SecA Wing and Scaffold domain
-SecA_PP_bind         PF01043.18   111 93                   -            901   6.7e-40  136.1   0.2   1   1   4.1e-43   1.7e-39  134.8   0.2     2   111   232   358   231   358 0.93 SecA preprotein cross-linking domain
-SEC-C                PF02810.13    19 93                   -            901   5.8e-11   42.0   9.7   1   1   2.3e-14   9.5e-11   41.3   9.7     1    19   881   899   881   899 0.98 SEC-C motif
-NUDIX                PF00293.26   131 94                   -            129   3.8e-21   75.4   0.6   1   1   5.6e-25   4.6e-21   75.1   0.6     3   130     5   125     3   126 0.80 NUDIX domain
-NUDIX_4              PF14815.4    110 94                   -            129   1.6e-13   50.4   0.1   1   1   2.2e-17   1.8e-13   50.3   0.1     1   109     7   124     7   125 0.84 NUDIX domain
-DUF329               PF03884.12    52 95                   -             65   4.7e-25   86.9   2.1   1   1   3.4e-29   5.5e-25   86.7   2.1     1    49     7    55     7    62 0.92 Domain of unknown function (DUF329)
-DUF1342              PF07072.9    210 96                   -            247   1.4e-78  263.4   0.4   1   1   9.5e-83   1.6e-78  263.2   0.4     1   210    19   225    19   225 1.00 Protein of unknown function (DUF1342)
-CoaE                 PF01121.18   179 97                   -            206   1.1e-77  259.6   0.3   1   1   1.8e-81   1.4e-77  259.2   0.3     1   175     3   177     3   180 0.99 Dephospho-CoA kinase
-IMPDH                PF00478.23   345 98                   -            347   3.1e-78  263.1   0.6   1   1   2.3e-82   3.8e-78  262.8   0.6     2   336     9   338     8   342 0.91 IMP dehydrogenase / GMP reductase domain
-T2SSF                PF00482.21   125 99                   -            400   3.2e-56  188.5   1.3   1   2   2.5e-33   4.1e-29  100.9   0.3     2   125    64   186    63   186 0.98 Type II secretion system (T2SS), protein F
-T2SSF                PF00482.21   125 99                   -            400   3.2e-56  188.5   1.3   2   2   6.9e-29   1.1e-24   86.6   0.0     4   125   269   388   266   388 0.98 Type II secretion system (T2SS), protein F
-T2SSE                PF00437.18   273 100                  -            461   6.1e-88  294.3   0.9   1   1   9.9e-92   8.1e-88  293.9   0.9     4   272    89   353    86   354 0.98 Type II/IV secretion system protein
-T2SSE_N              PF05157.13   109 100                  -            461   1.2e-05   25.4   0.0   1   1   4.4e-09   3.6e-05   23.9   0.0    43   104     8    68     6    73 0.92 Type II secretion system (T2SS), protein E, N-terminal domain
-N_methyl             PF07963.10    27 101                  -            146   7.2e-11   41.0   1.5   1   1   8.3e-15   1.3e-10   40.2   1.5     1    25     1    25     1    27 0.93 Prokaryotic N-terminal methylation motif
-QRPTase_C            PF01729.17   169 102                  -            297   3.1e-63  212.4   0.1   1   1     5e-67   4.1e-63  212.0   0.1     1   169   131   295   131   295 0.99 Quinolinate phosphoribosyl transferase, C-terminal domain
-QRPTase_N            PF02749.14    88 102                  -            297   1.2e-24   86.0   0.0   1   1     6e-28   4.9e-24   84.0   0.0     4    88    43   129    41   129 0.98 Quinolinate phosphoribosyl transferase, N-terminal domain
-Amidase_2            PF01510.23   121 103                  -            183   1.6e-25   89.8   0.0   1   1   1.2e-29   1.9e-25   89.5   0.0    19   121    53   167    24   167 0.79 N-acetylmuramoyl-L-alanine amidase
-AmpE                 PF17113.3    284 104                  -            284  3.1e-158  525.4  12.6   1   1  2.1e-162  3.5e-158  525.2  12.6     1   284     1   284     1   284 1.00 Regulatory signalling modulator protein AmpE
-AA_permease          PF00324.19   479 105                  -            456  9.7e-132  439.8  46.6   1   1  1.3e-135  1.1e-131  439.7  46.6     1   476    18   453    18   456 0.99 Amino acid permease
-AA_permease_2        PF13520.4    425 105                  -            456   7.1e-44  150.2  50.1   1   1   1.1e-47   8.9e-44  149.8  50.1     8   416    21   430    17   443 0.88 Amino acid permease
-GntR                 PF00392.19    64 106                  -            254   6.4e-26   89.6   0.4   1   1   1.8e-29   1.5e-25   88.5   0.4     2    64    12    74    11    74 0.97 Bacterial regulatory proteins, gntR family
-FCD                  PF07729.10   125 106                  -            254   1.3e-17   64.3  11.1   1   1   2.9e-21   2.4e-17   63.4  11.1     1   124    99   226    99   227 0.91 FCD domain
-Transketolase_N      PF00456.19   334 107                  -            887   3.7e-16   58.9   0.1   1   1   7.1e-14   1.2e-09   37.5   0.0    23   216   106   296    79   305 0.73 Transketolase, thiamine diphosphate binding domain
-2-oxoacid_dh         PF00198.21   233 108                  -            630   1.7e-79  266.4   0.0   1   1   1.2e-82   2.4e-79  265.9   0.0     3   232   399   629   397   630 0.98 2-oxoacid dehydrogenases acyltransferase (catalytic domain)
-Biotin_lipoyl        PF00364.20    73 108                  -            630   6.2e-67  221.3  35.6   1   3   4.1e-25   8.3e-22   76.7   6.9     2    72     4    73     3    74 0.97 Biotin-requiring enzyme
-Biotin_lipoyl        PF00364.20    73 108                  -            630   6.2e-67  221.3  35.6   2   3   3.1e-26   6.2e-23   80.3   5.6     2    72   107   176   106   177 0.97 Biotin-requiring enzyme
-Biotin_lipoyl        PF00364.20    73 108                  -            630   6.2e-67  221.3  35.6   3   3   4.7e-25   9.5e-22   76.5   7.2     1    72   207   277   207   278 0.96 Biotin-requiring enzyme
-E3_binding           PF02817.15    36 108                  -            630   6.4e-16   58.3   0.1   1   1     1e-18   2.1e-15   56.6   0.1     1    36   327   362   327   362 0.98 e3 binding domain
-Pyr_redox_2          PF07992.12   292 109                  -            474   2.7e-63  213.8   4.1   1   1   2.1e-66   3.7e-63  213.3   4.1     2   292     8   328     7   328 0.91 Pyridine nucleotide-disulphide oxidoreductase
-Pyr_redox_dim        PF02852.20   110 109                  -            474   1.6e-35  121.5   0.0   1   1   2.3e-38   4.1e-35  120.2   0.0     1   109   347   455   347   456 0.98 Pyridine nucleotide-disulphide oxidoreductase, dimerisation domain
-Pyr_redox            PF00070.25    81 109                  -            474   2.8e-18   66.1   4.6   1   1   9.3e-19   1.7e-15   57.2   0.8     1    78   177   252   177   256 0.94 Pyridine nucleotide-disulphide oxidoreductase
-FAD_oxidored         PF12831.5    433 109                  -            474     2e-08   33.9   0.3   1   1   2.1e-11   3.8e-08   33.0   0.3     1    38     8    45     8    65 0.92 FAD dependent oxidoreductase
-GIDA                 PF01134.20   392 109                  -            474   2.1e-08   33.6   1.1   1   1   8.1e-11   1.5e-07   30.8   0.6     1    60     8    70     8    83 0.91 Glucose inhibited division protein A
-FAD_binding_2        PF00890.22   417 109                  -            474   7.7e-06   25.1   0.8   1   1   4.2e-08   7.6e-05   21.8   0.2     2    35     9    42     8    47 0.91 FAD binding domain
-DUF3300              PF11737.6    227 110                  -            617     4e-82  275.0   5.9   1   1   2.5e-86     4e-82  275.0   5.9     2   205    75   344    74   367 0.88 Protein of unknown function (DUF3300)
-Aconitase_2_N        PF06434.11   204 111                  -            865   2.8e-98  327.5   0.0   1   1  7.4e-102     4e-98  326.9   0.0     1   204   168   382   168   382 0.99 Aconitate hydratase 2 N-terminus
-Aconitase_B_N        PF11791.6    153 111                  -            865     5e-69  231.1   0.1   1   1   1.8e-72   9.8e-69  230.2   0.1     1   153     4   156     4   156 1.00 Aconitate B N-terminal domain
-Aconitase            PF00330.18   462 111                  -            865   1.7e-41  142.5   0.0   1   1   1.1e-43   6.1e-40  137.4   0.0   102   462   472   818   409   818 0.85 Aconitase family (aconitate hydratase)
-UPF0231              PF06062.9    121 112                  -            120   7.7e-43  145.5   2.1   1   1   5.3e-47   8.6e-43  145.3   2.1     1   121     1   117     1   117 0.98 Uncharacterised protein family (UPF0231)
-AdoMet_dc            PF02675.13   106 113                  -            264     8e-31  106.3   0.0   1   1   1.4e-34   2.4e-30  104.8   0.0     5   106    33   169    32   169 0.99 S-adenosylmethionine decarboxylase
-Spermine_synth       PF01564.15   247 114                  -            288   1.3e-88  296.0   0.1   1   1   2.3e-92   1.8e-88  295.5   0.1     2   239     7   239     4   246 0.97 Spermine/spermidine synthase
-T2SS_PulS_OutS       PF09691.8    107 115                  -            115   1.4e-08   34.7   0.0   1   1     1e-12   1.7e-08   34.4   0.0    18   101    24   106    15   112 0.85 Type II secretion system pilotin lipoprotein (PulS_OutS)
-Cu-oxidase_3         PF07732.13   119 116                  -            403   1.1e-30  106.0   0.1   1   1   2.5e-34     2e-30  105.1   0.1     6   117    56   165    51   167 0.93 Multicopper oxidase
-Cu-oxidase           PF00394.20   159 116                  -            403   2.8e-06   27.4   0.0   1   1   7.4e-10     6e-06   26.3   0.0    54   130   203   292   166   312 0.77 Multicopper oxidase
-#
-# Program:         hmmscan
-# Version:         3.1b1 (May 2013)
-# Pipeline mode:   SCAN
-# Query file:      aa_sequences_03.fa
-# Target file:     /workspace/meren/PFAM/Pfam-A.hmm
-# Option settings: hmmscan -o /dev/null --domtblout aa_sequences_03.pfam --cut_ga --cpu 20 /workspace/meren/PFAM/Pfam-A.hmm aa_sequences_03.fa 
-# Current dir:     /users/meren
-# Date:            Wed Oct 12 10:56:26 2016
-# [ok]
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/scg-gene-clusters-for-phylogenomics.txt b/anvio/tests/sandbox/mock_data_for_pangenomics/scg-gene-clusters-for-phylogenomics.txt
new file mode 100644
index 0000000000..104a51c9e9
--- /dev/null
+++ b/anvio/tests/sandbox/mock_data_for_pangenomics/scg-gene-clusters-for-phylogenomics.txt
@@ -0,0 +1,12 @@
+GC_00000097	SCGs
+GC_00000101	SCGs
+GC_00000117	SCGs
+GC_00000118	SCGs
+GC_00000133	SCGs
+GC_00000134	SCGs
+GC_00000140	SCGs
+GC_00000154	SCGs
+GC_00000174	SCGs
+GC_00000179	SCGs
+GC_00000183	SCGs
+GC_00000188	SCGs
diff --git a/anvio/tests/unit/test_palindrome.py b/anvio/tests/unit/test_palindrome.py
new file mode 100644
index 0000000000..332e5f6d4a
--- /dev/null
+++ b/anvio/tests/unit/test_palindrome.py
@@ -0,0 +1,411 @@
+# -*- coding: utf-8
+# pylint: disable=line-too-long
+"""Tests for Palindromes"""
+
+import anvio
+from anvio.sequencefeatures import Palindromes
+
+import unittest
+import argparse
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2019, the Meren Lab (http://merenlab.org/)"
+__credits__ = []
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__maintainer__ = "Evan Kiefl"
+__email__ = "kiefl.evan@gmail.com"
+
+
+class TestFindPalindrome(unittest.TestCase):
+    def setUp(self):
+        self.nt_30 = 'GNAAANCNNTTTTNTAGAAGNCCAAGTGNN'
+        self.nt_10 = 'AACTGGAGCT'
+
+
+    def test_fixedlength_mismatchless(self):
+        seq = self.seq_with_palindromes(
+            template = self.nt_30,
+            start_stops = [
+                (5, 15, 18, 28),
+            ],
+            palindrome_seqs = [
+                (self.nt_10, anvio.utils.rev_comp(self.nt_10)),
+            ],
+        )
+
+        p = Palindromes(argparse.Namespace(
+            min_palindrome_length = 10,
+        ))
+        palindromes = p._find_numba(seq, coords_only=True)
+
+        for_start, for_stop, rev_start, rev_stop = palindromes[0]
+
+        self.assertEqual(for_start, 5)
+        self.assertEqual(for_stop, 15)
+        self.assertEqual(rev_start, 18)
+        self.assertEqual(rev_stop, 28)
+
+        self.assertEqual(seq[for_start:for_stop], seq[5:15])
+        self.assertEqual(seq[rev_start:rev_stop], seq[18:28])
+
+
+    def test_fixedlength_mismatchless_touching(self):
+        seq = self.seq_with_palindromes(
+            template = self.nt_30,
+            start_stops = [
+                (5, 15, 15, 25),
+            ],
+            palindrome_seqs = [
+                (self.nt_10, anvio.utils.rev_comp(self.nt_10)),
+            ],
+        )
+
+        p = Palindromes(argparse.Namespace(
+            min_palindrome_length = 10,
+        ))
+        palindromes = p._find_numba(seq, coords_only=True)
+
+        for_start, for_stop, rev_start, rev_stop = palindromes[0]
+
+        self.assertEqual(for_start, 5)
+        self.assertEqual(for_stop, 15)
+        self.assertEqual(rev_start, 15)
+        self.assertEqual(rev_stop, 25)
+
+        self.assertEqual(seq[for_start:for_stop], seq[5:15])
+        self.assertEqual(seq[rev_start:rev_stop], seq[15:25])
+
+
+    def test_fixedlength_mismatchless_1_apart(self):
+        delta = 1
+        seq = self.seq_with_palindromes(
+            template = self.nt_30,
+            start_stops = [
+                (4, 14, 14+delta, 24+delta),
+            ],
+            palindrome_seqs = [
+                (self.nt_10, anvio.utils.rev_comp(self.nt_10)),
+            ],
+        )
+
+        p = Palindromes(argparse.Namespace(
+            min_palindrome_length = 10,
+        ))
+        palindromes = p._find_numba(seq, coords_only=True)
+
+        for_start, for_stop, rev_start, rev_stop = palindromes[0]
+
+        self.assertEqual(for_start, 4)
+        self.assertEqual(for_stop, 14)
+        self.assertEqual(rev_start, 14+delta)
+        self.assertEqual(rev_stop, 24+delta)
+
+        self.assertEqual(seq[for_start:for_stop], seq[4:14])
+        self.assertEqual(seq[rev_start:rev_stop], seq[14+delta:24+delta])
+
+
+    def test_fixedlength_mismatchless_multimatch(self):
+        seq = self.seq_with_palindromes(
+            template = self.nt_30*2,
+            start_stops = [
+                (5, 15, 18, 28),
+                (5, 15, 38, 48),
+            ],
+            palindrome_seqs = [
+                (self.nt_10, anvio.utils.rev_comp(self.nt_10)),
+                (self.nt_10, anvio.utils.rev_comp(self.nt_10)),
+            ],
+        )
+
+        p = Palindromes(argparse.Namespace(
+            min_palindrome_length = 10,
+        ))
+        palindromes = p._find_numba(seq, coords_only=True)
+
+        for_start, for_stop, rev_start, rev_stop = palindromes[0]
+        self.assertEqual(for_start, 5)
+        self.assertEqual(for_stop, 15)
+        self.assertEqual(rev_start, 38)
+        self.assertEqual(rev_stop, 48)
+        self.assertEqual(seq[for_start:for_stop], seq[5:15])
+        self.assertEqual(seq[rev_start:rev_stop], seq[38:48])
+
+        for_start, for_stop, rev_start, rev_stop = palindromes[1]
+        self.assertEqual(for_start, 5)
+        self.assertEqual(for_stop, 15)
+        self.assertEqual(rev_start, 18)
+        self.assertEqual(rev_stop, 28)
+        self.assertEqual(seq[for_start:for_stop], seq[5:15])
+        self.assertEqual(seq[rev_start:rev_stop], seq[18:28])
+
+
+    def test_fixedlength_mismatch(self):
+        pal_for = 'AACTGGAGCT'
+        #          ||| ||| ||
+        pal_rev = 'AACAGGAACT'
+        pal_rev = anvio.utils.rev_comp(pal_rev)
+
+        seq = self.seq_with_palindromes(
+            template = self.nt_30,
+            start_stops = [
+                (5, 15, 18, 28),
+            ],
+            palindrome_seqs = [
+                (pal_for, pal_rev),
+            ],
+        )
+
+        # No palindrome should be found
+        MISMATCH_TOL = 1
+        p = Palindromes(argparse.Namespace(
+            min_palindrome_length = 10,
+            max_num_mismatches=MISMATCH_TOL,
+        ))
+        palindromes = p._find_numba(seq, coords_only=True)
+        self.assertEqual(palindromes, [])
+
+        # Palindrome should be found
+        MISMATCH_TOL = 2
+        p = Palindromes(argparse.Namespace(
+            min_palindrome_length = 10,
+            max_num_mismatches=MISMATCH_TOL,
+        ))
+        palindromes = p._find_numba(seq, coords_only=True)
+        for_start, for_stop, rev_start, rev_stop = palindromes[0]
+        self.assertEqual(for_start, 5)
+        self.assertEqual(for_stop, 15)
+        self.assertEqual(rev_start, 18)
+        self.assertEqual(rev_stop, 28)
+        self.assertEqual(seq[for_start:for_stop], seq[5:15])
+        self.assertEqual(seq[rev_start:rev_stop], seq[18:28])
+
+        # Palindrome should be found
+        MISMATCH_TOL = 3
+        p = Palindromes(argparse.Namespace(
+            min_palindrome_length = 10,
+            max_num_mismatches=MISMATCH_TOL,
+        ))
+        palindromes = p._find_numba(seq, coords_only=True)
+        for_start, for_stop, rev_start, rev_stop = palindromes[0]
+        self.assertEqual(for_start, 5)
+        self.assertEqual(for_stop, 15)
+        self.assertEqual(rev_start, 18)
+        self.assertEqual(rev_stop, 28)
+        self.assertEqual(seq[for_start:for_stop], seq[5:15])
+        self.assertEqual(seq[rev_start:rev_stop], seq[18:28])
+
+
+    def test_variedlength_mismatchless(self):
+        for m in range(4, 10):
+            seq = self.seq_with_palindromes(
+                template = self.nt_30,
+                start_stops = [
+                    (5, 15, 18, 28),
+                ],
+                palindrome_seqs = [
+                    (self.nt_10, anvio.utils.rev_comp(self.nt_10)),
+                ],
+            )
+            p = Palindromes(argparse.Namespace(
+                min_palindrome_length = m,
+            ))
+            palindromes = p._find_numba(seq, coords_only=True)
+
+            for_start, for_stop, rev_start, rev_stop = palindromes[0]
+
+            self.assertEqual(for_start, 5)
+            self.assertEqual(for_stop, 15)
+            self.assertEqual(rev_start, 18)
+            self.assertEqual(rev_stop, 28)
+
+            self.assertEqual(seq[for_start:for_stop], seq[5:15])
+            self.assertEqual(seq[rev_start:rev_stop], seq[18:28])
+
+
+    def test_variedlength_mismatchless_touching(self):
+        seq = self.seq_with_palindromes(
+            template = self.nt_30,
+            start_stops = [
+                (5, 15, 15, 25),
+            ],
+            palindrome_seqs = [
+                (self.nt_10, anvio.utils.rev_comp(self.nt_10)),
+            ],
+        )
+
+        p = Palindromes(argparse.Namespace(
+            min_palindrome_length = 4,
+        ))
+        palindromes = p._find_numba(seq, coords_only=True)
+
+        for_start, for_stop, rev_start, rev_stop = palindromes[0]
+
+        self.assertEqual(for_start, 5)
+        self.assertEqual(for_stop, 15)
+        self.assertEqual(rev_start, 15)
+        self.assertEqual(rev_stop, 25)
+
+        self.assertEqual(seq[for_start:for_stop], seq[5:15])
+        self.assertEqual(seq[rev_start:rev_stop], seq[15:25])
+
+
+    def test_variedlength_mismatchless_multimatch(self):
+        seq = self.seq_with_palindromes(
+            template = self.nt_30*2,
+            start_stops = [
+                (5, 15, 18, 28),
+                (5, 15, 38, 48),
+            ],
+            palindrome_seqs = [
+                (self.nt_10, anvio.utils.rev_comp(self.nt_10)),
+                (self.nt_10, anvio.utils.rev_comp(self.nt_10)),
+            ],
+        )
+
+        p = Palindromes(argparse.Namespace(
+            min_palindrome_length = 6,
+        ))
+        palindromes = p._find_numba(seq, coords_only=True)
+
+        for_start, for_stop, rev_start, rev_stop = palindromes[0]
+        self.assertEqual(for_start, 5)
+        self.assertEqual(for_stop, 15)
+        self.assertEqual(rev_start, 38)
+        self.assertEqual(rev_stop, 48)
+        self.assertEqual(seq[for_start:for_stop], seq[5:15])
+        self.assertEqual(seq[rev_start:rev_stop], seq[38:48])
+
+        for_start, for_stop, rev_start, rev_stop = palindromes[1]
+        self.assertEqual(for_start, 5)
+        self.assertEqual(for_stop, 15)
+        self.assertEqual(rev_start, 18)
+        self.assertEqual(rev_stop, 28)
+        self.assertEqual(seq[for_start:for_stop], seq[5:15])
+        self.assertEqual(seq[rev_start:rev_stop], seq[18:28])
+
+
+    def test_split(self):
+        pal_for = 'AACTGGAGCTCGAACTG'
+        #          |||||||| |||||||| 
+        pal_rev = 'AACTGGAGGTCGAACTG'
+        pal_rev = anvio.utils.rev_comp(pal_rev)
+
+        x0, x1 = 5, 30
+
+        seq = self.seq_with_palindromes(
+            template = self.nt_30*2,
+            start_stops = [
+                (x0, x0+len(pal_for), x1, x1+len(pal_for)),
+            ],
+            palindrome_seqs = [
+                (pal_for, pal_rev),
+            ],
+        )
+
+        # One long palindrome should be found
+        MISMATCH_TOL = 1
+        p = Palindromes(argparse.Namespace(
+            min_palindrome_length = 8,
+            max_num_mismatches=MISMATCH_TOL,
+        ))
+        palindromes = p._find_numba(seq, coords_only=True)
+
+        # Two shorter palindrome should be found
+        MISMATCH_TOL = 0
+        p = Palindromes(argparse.Namespace(
+            min_palindrome_length = 7,
+            max_num_mismatches=MISMATCH_TOL,
+        ))
+        palindromes = p._find_numba(seq, coords_only=True)
+
+        for_start, for_stop, rev_start, rev_stop = palindromes[0]
+        self.assertEqual(for_start, x0)
+        self.assertEqual(for_stop, 13)
+        self.assertEqual(rev_start, 39)
+        self.assertEqual(rev_stop, 47)
+        self.assertEqual(seq[for_start:for_stop], seq[5:13])
+        self.assertEqual(seq[rev_start:rev_stop], seq[39:47])
+
+        for_start, for_stop, rev_start, rev_stop = palindromes[1]
+        self.assertEqual(for_start, 14)
+        self.assertEqual(for_stop, 22)
+        self.assertEqual(rev_start, 30)
+        self.assertEqual(rev_stop, 38)
+        self.assertEqual(seq[for_start:for_stop], seq[14:22])
+        self.assertEqual(seq[rev_start:rev_stop], seq[30:38])
+
+
+    def test_min_distance(self):
+        delta = 3
+        seq = self.seq_with_palindromes(
+            template = self.nt_30*2,
+            start_stops = [
+                (4, 14, 14+delta, 24+delta),
+            ],
+            palindrome_seqs = [
+                (self.nt_10, anvio.utils.rev_comp(self.nt_10)),
+            ],
+        )
+
+        for D in range(10):
+            expected = 0 if D > delta else 1
+            p = Palindromes(argparse.Namespace(
+                min_palindrome_length = 10,
+                min_distance=D,
+            ))
+            palindromes = p._find_numba(seq, coords_only=True)
+
+            self.assertEqual(len(palindromes), expected)
+
+
+    def test_min_distance2(self):
+        seq = 'TTTCAAGGGGGGGGGTTGAAA'
+        for d in range(13):
+            p = Palindromes(argparse.Namespace(
+                min_palindrome_length = 4,
+                min_distance = d,
+            ))
+            palindromes = p._find_numba(seq, coords_only=True)
+
+            if d <= 9:
+                # the gap is 9, so this should produce 1 palindrome
+                self.assertEqual(len(palindromes), 1)
+            else:
+                # the gap is 9, so this should not produce palindrome
+                self.assertEqual(len(palindromes), 0)
+
+
+    def test_triple_inversion(self):
+        seq = 'TTTCAGGTGAAACTGAA'
+
+        p = Palindromes(argparse.Namespace(
+            min_palindrome_length = 5,
+            min_distance = 3,
+        ))
+        palindromes = p._find_numba(seq, coords_only=True)
+        self.assertEqual(palindromes, [(1,6,12,17)])
+
+        p = Palindromes(argparse.Namespace(
+            min_palindrome_length = 5,
+            min_distance = 2,
+        ))
+        palindromes = p._find_numba(seq, coords_only=True)
+        self.assertEqual(palindromes, [(0, 5, 7, 12), (1, 6, 12, 17)])
+
+
+    def seq_with_palindromes(self, template, start_stops, palindrome_seqs):
+        seq = list(template)
+
+        for start_stop, palindrome_seq in zip(start_stops, palindrome_seqs):
+            for_start, for_stop, rev_start, rev_stop = start_stop
+            subseq, revseq = palindrome_seq
+
+            seq[for_start:for_stop] = subseq
+            seq[rev_start:rev_stop] = revseq
+
+        return ''.join(seq)
+
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/anvio/trnaseq.py b/anvio/trnaseq.py
index 05fee75aae..e2464576f3 100644
--- a/anvio/trnaseq.py
+++ b/anvio/trnaseq.py
@@ -2,13 +2,13 @@
 # pylint: disable=line-too-long
 """Library for tRNA-seq dataset operations
 
-`bin/anvi-trnaseq` and `bin/anvi-convert-trnaseq-database` are the default clients using this
-module. `anvi-trnaseq` instantiates a `TRNASeqDataset` object. `anvi-convert-trnaseq-database`
-instantiates a `DatabaseConverter` object. The clients call the objects' `process` methods to start
-the analytic workflows.
+`bin/anvi-trnaseq` and `bin/anvi-merge-trnaseq` are the default clients using this module.
+`anvi-trnaseq` instantiates a `TRNASeqDataset` object. `anvi-merge-trnaseq` instantiates a
+`DatabaseMerger` object. The clients call the objects' `process` methods to start the analytic
+workflows.
 
 Each sequence library in an experiment is processed separately as a `TRNASeqDataset`, storing an
-information-rich anvi'o tRNA-seq database. `DatabaseConverter` finds reference seed sequences from a
+information-rich anvi'o tRNA-seq database. `DatabaseMerger` finds reference seed sequences from a
 set of tRNA-seq databases, storing seeds in an anvi'o contigs database and coverage patterns for
 each dataset in anvi'o profile and auxiliary databases. Contigs and profile databases interface with
 a range of other tools in the anvi'o platform.
@@ -107,18 +107,29 @@
 import sys
 import math
 import time
+import queue
 import random
 import shutil
 import argparse
 import numpy as np
 import pandas as pd
 import pickle as pkl
-import multiprocessing as mp
+import matplotlib.pyplot as plt
+
+# multiprocess is a fork of multiprocessing that uses the dill serializer instead of pickle
+# using the multiprocessing module directly results in a pickling error in Python 3.10 which
+# goes like this:
+#
+#   >>> AttributeError: Can't pickle local object 'SOMEFUNCTION.<locals>.<lambda>' multiprocessing
+#
+import multiprocess as multiprocessing
 
 from hashlib import sha1
 from itertools import chain
 from functools import partial
 from bisect import bisect_left
+from matplotlib.gridspec import GridSpec
+from matplotlib.ticker import MaxNLocator
 from collections import defaultdict, deque, OrderedDict
 
 import anvio
@@ -134,6 +145,7 @@
 import anvio.trnaidentifier as trnaidentifier
 import anvio.auxiliarydataops as auxiliarydataops
 
+from anvio.dbinfo import DBInfo
 from anvio.errors import ConfigError
 from anvio.sequence import Dereplicator
 from anvio.drivers.vmatch import Vmatch
@@ -157,13 +169,18 @@
 
 ALL_NTS = tuple(constants.nucleotides)
 UNAMBIG_NTS = ('A', 'C', 'G', 'T')
+UNAMBIG_NTS_LIST = list(UNAMBIG_NTS)
 NT_INT_DICT = {nt: i for i, nt in enumerate(UNAMBIG_NTS, start=1)}
 INT_NT_DICT = {i: nt for i, nt in enumerate(UNAMBIG_NTS, start=1)}
 # NUM_NT_BINS is used in counting the number of distinct nucleotides (1, 2, 3, or 4) at positions in
 # internally ungapped alignments: there is one bin (value 0) for end gaps in the alignment.
 NUM_NT_BINS = len(UNAMBIG_NTS) + 1
 
+AMINO_ACIDS = constants.amino_acids
 ANTICODON_AA_DICT = constants.anticodon_to_AA
+ANTICODONS = list(ANTICODON_AA_DICT)
+AA_ANTICODON_DICT = constants.AA_to_anticodons
+TRNA_FEATURE_NAMES = constants.TRNA_FEATURE_NAMES
 
 # The user can specify in `anvi-trnaseq` what defines a long (biological vs. non-templated) 5'
 # extension. The variable is set by `TRNASeqDataset.__init__`.
@@ -305,9 +322,9 @@ def __init__(self, defunct_Uf, replacement_dict):
         self.num_extrap_5prime_nts = 0
         self.has_His_G = replacement_dict['has_His_G']
         self.alpha_start = None if replacement_dict['alpha_start_from_T_3prime'] is None else stop_T_in_U + replacement_dict['alpha_start_from_T_3prime']
-        self.alpha_stop = None if replacement_dict['alpha_stop_from_T_3prime'] is None else stop_T_in_U - replacement_dict['alpha_stop_from_T_3prime']
-        self.beta_start = None if replacement_dict['beta_start_from_T_3prime'] is None else stop_T_in_U - replacement_dict['beta_start_from_T_3prime']
-        self.beta_stop = None if replacement_dict['beta_stop_from_T_3prime'] is None else stop_T_in_U - replacement_dict['beta_stop_from_T_3prime']
+        self.alpha_stop = None if replacement_dict['alpha_stop_from_T_3prime'] is None else stop_T_in_U + replacement_dict['alpha_stop_from_T_3prime']
+        self.beta_start = None if replacement_dict['beta_start_from_T_3prime'] is None else stop_T_in_U + replacement_dict['beta_start_from_T_3prime']
+        self.beta_stop = None if replacement_dict['beta_stop_from_T_3prime'] is None else stop_T_in_U + replacement_dict['beta_stop_from_T_3prime']
         self.anticodon_string = replacement_dict['anticodon_string']
         self.anticodon_aa = replacement_dict['anticodon_aa']
         self.contains_anticodon = replacement_dict['contains_anticodon']
@@ -492,10 +509,10 @@ def __init__(self, string, seqs_U):
         self.name = name = represent_U.name
         categories_U = []
         for seq_U in seqs_U:
-            if isinstance(seq_U, UniqueFullProfileSequence):
-                categories_U.append('Uf')
-            elif isinstance(seq_U, UniqueTransferredProfileSequence):
+            if isinstance(seq_U, UniqueTransferredProfileSequence):
                 categories_U.append('Us')
+            elif isinstance(seq_U, UniqueFullProfileSequence):
+                categories_U.append('Uf')
             else:
                 raise Exception(f"A unique sequence with name `{seq_U.name}` of class `{type(seq_U)}` was encountered.")
             seq_U.name_T = name
@@ -1349,7 +1366,6 @@ def init(self, seqs_Nb, seqs_Ni):
 class TRNASeqDataset(object):
     """Processes reads from a tRNA-seq library. `bin/anvi-trnaseq` is the client."""
 
-    TRNA_FEATURE_NAMES = constants.TRNA_FEATURE_NAMES
     RELATIVE_ANTICODON_LOOP_INDEX = TRNA_FEATURE_NAMES.index('anticodon_loop') - len(TRNA_FEATURE_NAMES) + 1
 
     # Column headers for supplementary tables written to text files
@@ -1368,7 +1384,6 @@ class TRNASeqDataset(object):
     ]
 
     def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
-        self.args = args
         self.run = run
         self.progress = progress
 
@@ -1539,7 +1554,7 @@ def process(self):
         total_time_start = time.time()
 
         self.sanity_check()
-        if '_' in self.param_3prime_termini:
+        if '' in self.parsed_3prime_termini:
             global PROFILE_ABSENT_3PRIME_TERMINUS
             PROFILE_ABSENT_3PRIME_TERMINUS = True
 
@@ -1588,7 +1603,7 @@ def process(self):
 
             # Recover Tc as tRNA by comparing to Nf.
             self.threeprime_dereplicate_truncated_sequences()
-            self.report_3prime_derep_stats()
+            self.report_threeprime_dereplication_statistics()
 
             if self.write_checkpoints:
                 self.write_checkpoint_files('normalize')
@@ -1618,8 +1633,8 @@ def process(self):
                 seq_Nf.init([getattr(self, 'dict_' + category_T)[name_T]
                              for category_T, name_T in zip(seq_Nf.categories_T, seq_Nf.names_T)])
             self.progress.end()
-            self.report_map_stats()
-            self.report_N_cov_stats()
+            self.report_mapping_statistics()
+            self.report_initialized_normalized_sequence_coverage_statistics()
 
             if self.write_checkpoints:
                 self.write_checkpoint_files('map_fragments')
@@ -1705,7 +1720,7 @@ def process(self):
 
 
     def sanity_check(self):
-        """Check `anvi-trnaseq` user inputs."""
+        """Check `anvi-trnaseq` arguments."""
         if os.path.exists(self.out_dir):
             self.existing_output_directory_sanity_check()
 
@@ -1725,10 +1740,10 @@ def sanity_check(self):
                               "`--num-threads` wants a value greater than 0. "
                               f"Last we checked, {self.num_threads} is not greater than 0.")
 
-        self.param_3prime_termini = self.threeprime_termini_sanity_check()
-        trnaidentifier.TRNAFeatureParameterizer.set_threeprime_termini(self.param_3prime_termini)
+        self.parsed_3prime_termini = self.threeprime_termini_sanity_check()
+        trnaidentifier.TRNAFeatureParameterizer.set_threeprime_termini(self.parsed_3prime_termini)
         # The following variable is only used as part of a heuristic in `find_indels`.
-        self.max_length_3prime_terminus = max([len(t) for t in self.param_3prime_termini])
+        self.max_length_3prime_terminus = max([len(t) for t in self.parsed_3prime_termini])
 
         self.run.info("Input FASTA file", self.input_fasta_path, nl_after=1)
 
@@ -1841,6 +1856,8 @@ def report_profiling_parameters(self):
                     f.write(get_summary_line(param_name.replace('Number allowed unpaired', "Allowed number of unpaired bps"), param_value))
                     continue
                 f.write(get_summary_line(param_name, param_value))
+            # Use `param_3prime_termini` rather than `parsed_3prime_termini` here to write "_"
+            # rather than "" for an absent 3' terminus.
             f.write(get_summary_line("Allowed 3' termini", ",".join(self.param_3prime_termini)))
             f.write(get_summary_line("Min length of \"long\" 5' extension", MIN_LENGTH_LONG_5PRIME_EXTENSION))
 
@@ -1897,21 +1914,20 @@ def profile_trna(self):
 
         start_time = time.time()
 
-        progress = self.progress
         pid = "Profiling tRNA features in unique reads"
-        progress.new(pid)
-        progress.update("...")
+        self.progress.new(pid)
+        self.progress.update("...")
 
         # Count the number of reads and unique reads that have been added to the multiprocessing
         # input queue.
         total_read_count = 0
         total_uniq_count = len(uniq_read_infos)
 
-        manager = mp.Manager()
+        manager = multiprocessing.Manager()
         input_queue = manager.Queue()
         output_queue = manager.Queue()
         profiler = trnaidentifier.Profiler()
-        processes = [mp.Process(target=profile_worker, args=(input_queue, output_queue, profiler))
+        processes = [multiprocessing.Process(target=profile_worker, args=(input_queue, output_queue, profiler))
                      for _ in range(self.num_threads)]
         for p in processes:
             p.start()
@@ -1928,8 +1944,8 @@ def profile_trna(self):
         dict_Un = self.dict_Un
         pp_total_uniq_count = pp(len(uniq_read_infos))
         while fetched_profile_count < total_uniq_count:
-            progress.update_pid(pid)
-            progress.update(f"{pp(input_count + 1)}-{pp(interval_stop)}/{pp_total_uniq_count}")
+            self.progress.update_pid(pid)
+            self.progress.update(f"{pp(input_count + 1)}-{pp(interval_stop)}/{pp_total_uniq_count}")
 
             while input_count < interval_stop:
                 for uniq_read_info in uniq_read_infos[interval_start: interval_stop]:
@@ -1968,7 +1984,7 @@ def profile_trna(self):
             f.write(get_summary_line("Reads processed", total_read_count))
             f.write(get_summary_line("Unique seqs processed", total_uniq_count))
 
-        progress.end()
+        self.progress.end()
 
         self.run.info("Reads processed", total_read_count, mc='green')
         self.run.info("Unique seqs processed", total_uniq_count, mc='green')
@@ -2128,61 +2144,65 @@ def report_profile_stats(self):
                 max_reads_Un = read_count
         mean_reads_Un = read_count_Un / seq_count_Un
 
-        run = self.run
-        run.info_single("Results of profiling (subject to change -- see summary output file for final results)", nl_before=2, nl_after=1)
-
-        run.info_single("Unique seq counts")
-        run.info("tRNA profile", seq_count_Uf)
-        run.info("Truncated tRNA profile", seq_count_Uc)
-        run.info("No tRNA profile", seq_count_Un, nl_after=1)
-
-        run.info_single("Read counts")
-        run.info("tRNA profile", read_count_Uf)
-        run.info("Truncated tRNA profile", read_count_Uc)
-        run.info("No tRNA profile", read_count_Un, nl_after=1)
-
-        run.info_single("Unique seqs with tRNA profile")
-        run.info("Count with anticodon", seq_anticodon_count_Uf)
-        run.info("Count with complete feature set", seq_complete_count_Uf)
-        run.info("Mean reads per seq", round(mean_reads_Uf, 1))
-        run.info("Max reads per seq", max_reads_Uf)
-        run.info(f"Count with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION - 1} extra 5' nts", seq_short_5prime_count_Uf)
-        run.info(f"Count with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", seq_long_5prime_count_Uf)
-        run.info("Mean profiled nt freq", round(mean_seq_profiled_freq_Uf, 3))
-        run.info("Mean freq of unconserved in profiled nts", round(mean_seq_unconserved_freq_Uf, 4))
-        run.info("Mean freq of unpaired in stem nts", round(mean_seq_unpaired_freq_Uf, 4))
-        run.info("Mean extrapolated 5' nt freq", round(mean_seq_extrap_freq_Uf, 3), nl_after=1)
-
-        run.info_single("Unique seqs with truncated tRNA profile")
-        run.info("Count with anticodon", seq_anticodon_count_Uc)
-        run.info("Mean reads per seq", round(mean_reads_Uc, 1))
-        run.info("Max reads per seq", max_reads_Uc)
-        run.info("Mean profiled nt freq", round(mean_seq_profiled_freq_Uc, 3))
-        run.info("Mean freq of unconserved in profiled nts", round(mean_seq_unconserved_freq_Uc, 4))
-        run.info("Mean freq of unpaired in stem nts", round(mean_seq_unpaired_freq_Uc, 4), nl_after=1)
-
-        run.info_single("Unique seqs with no tRNA profile")
-        run.info("Mean reads per seq", round(mean_reads_Un, 1))
-        run.info("Max reads per seq", max_reads_Un, nl_after=1)
-
-        run.info_single("Reads with tRNA profile")
-        run.info("Count with anticodon", read_anticodon_count_Uf)
-        run.info("Count with complete feature set", read_complete_count_Uf)
-        run.info("Mean length 3' terminus", round(mean_read_3prime_length_Uf, 1))
-        run.info(f"Count with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION - 1} extra 5' nts", read_short_5prime_count_Uf)
-        run.info(f"Count with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", read_long_5prime_count_Uf)
-        run.info(f"Mean length ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} nt extension", round(mean_read_5prime_length_Uf, 1))
-        run.info("Mean profiled nt freq", round(mean_read_profiled_freq_Uf, 3))
-        run.info("Mean freq of unconserved in profiled nts", round(mean_read_unconserved_freq_Uf, 4))
-        run.info("Mean freq of unpaired in stem nts", round(mean_read_unpaired_freq_Uf, 4))
-        run.info("Mean extrapolated 5' nt freq", round(mean_read_extrap_freq_Uf, 3), nl_after=1)
-
-        run.info_single("Reads with truncated tRNA profile")
-        run.info("Spans anticodon", read_anticodon_count_Uc)
-        run.info("Mean length 3' terminus", round(mean_read_3prime_length_Uc, 1))
-        run.info("Mean profiled nt freq", round(mean_read_profiled_freq_Uc, 3))
-        run.info("Mean freq of unconserved in profiled nts", round(mean_read_unconserved_freq_Uc, 4))
-        run.info("Mean freq of unpaired in stem nts", round(mean_read_unpaired_freq_Uc, 4), nl_after=2)
+        warning = self.run.warning
+        info_single = self.run.info_single
+        info = self.run.info
+
+        warning(None, "PROFILING RESULTS", lc='green', nl_before=1)
+        info_single("subject to change -- see summary output file for final results")
+
+        warning(None, "Unique seq counts", lc='cyan')
+        info("tRNA profile", seq_count_Uf)
+        info("Truncated tRNA profile", seq_count_Uc)
+        info("No tRNA profile", seq_count_Un)
+
+        warning(None, "Read counts", lc='cyan')
+        info("tRNA profile", read_count_Uf)
+        info("Truncated tRNA profile", read_count_Uc)
+        info("No tRNA profile", read_count_Un)
+
+        warning(None, "Unique seqs with tRNA profile", lc='cyan')
+        info("Count with anticodon", seq_anticodon_count_Uf)
+        info("Count with complete feature set", seq_complete_count_Uf)
+        info("Mean reads per seq", round(mean_reads_Uf, 1))
+        info("Max reads per seq", max_reads_Uf)
+        info(f"Count with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION - 1} extra 5' nts", seq_short_5prime_count_Uf)
+        info(f"Count with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", seq_long_5prime_count_Uf)
+        info("Mean profiled nt freq", round(mean_seq_profiled_freq_Uf, 3))
+        info("Mean freq of unconserved in profiled nts", round(mean_seq_unconserved_freq_Uf, 4))
+        info("Mean freq of unpaired in stem nts", round(mean_seq_unpaired_freq_Uf, 4))
+        info("Mean extrapolated 5' nt freq", round(mean_seq_extrap_freq_Uf, 3))
+
+        warning(None, "Unique seqs with truncated tRNA profile", lc='cyan')
+        info("Count with anticodon", seq_anticodon_count_Uc)
+        info("Mean reads per seq", round(mean_reads_Uc, 1))
+        info("Max reads per seq", max_reads_Uc)
+        info("Mean profiled nt freq", round(mean_seq_profiled_freq_Uc, 3))
+        info("Mean freq of unconserved in profiled nts", round(mean_seq_unconserved_freq_Uc, 4))
+        info("Mean freq of unpaired in stem nts", round(mean_seq_unpaired_freq_Uc, 4))
+
+        warning(None, "Unique seqs with no tRNA profile", lc='cyan')
+        info("Mean reads per seq", round(mean_reads_Un, 1))
+        info("Max reads per seq", max_reads_Un)
+
+        warning(None, "Reads with tRNA profile", lc='cyan')
+        info("Count with anticodon", read_anticodon_count_Uf)
+        info("Count with complete feature set", read_complete_count_Uf)
+        info("Mean length 3' terminus", round(mean_read_3prime_length_Uf, 1))
+        info(f"Count with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION - 1} extra 5' nts", read_short_5prime_count_Uf)
+        info(f"Count with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", read_long_5prime_count_Uf)
+        info(f"Mean length ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} nt extension", round(mean_read_5prime_length_Uf, 1))
+        info("Mean profiled nt freq", round(mean_read_profiled_freq_Uf, 3))
+        info("Mean freq of unconserved in profiled nts", round(mean_read_unconserved_freq_Uf, 4))
+        info("Mean freq of unpaired in stem nts", round(mean_read_unpaired_freq_Uf, 4))
+        info("Mean extrapolated 5' nt freq", round(mean_read_extrap_freq_Uf, 3))
+
+        warning(None, "Reads with truncated tRNA profile", lc='cyan')
+        info("Spans anticodon", read_anticodon_count_Uc)
+        info("Mean length 3' terminus", round(mean_read_3prime_length_Uc, 1))
+        info("Mean profiled nt freq", round(mean_read_profiled_freq_Uc, 3))
+        info("Mean freq of unconserved in profiled nts", round(mean_read_unconserved_freq_Uc, 4))
+        info("Mean freq of unpaired in stem nts", round(mean_read_unpaired_freq_Uc, 4), nl_after=2 if self.write_checkpoints else 1)
 
 
     def trim_trna_ends(self):
@@ -2275,28 +2295,32 @@ def report_trim_stats(self):
                 max_reads_Tc = read_count
         mean_reads_Tc /= count_Tc
 
-        run = self.run
-        run.info_single("Results of trimming (subject to change -- see summary output file for final results)", nl_before=2, nl_after=1)
+        warning = self.run.warning
+        info_single = self.run.info_single
+        info = self.run.info
 
-        run.info_single("Trimmed seq counts")
-        run.info("tRNA profile", count_Tf)
-        run.info("Truncated tRNA profile", count_Tc, nl_after=1)
+        warning(None, "TRIMMING RESULTS", lc='green', nl_before=1)
+        info_single("subject to change -- see summary output file for final results")
 
-        run.info_single("Trimmed seqs with tRNA profile")
-        run.info("Count with anticodon", anticodon_count_Tf)
-        run.info("Count with complete feature set", complete_count_Tf)
-        run.info("Mean unique seqs per seq", round(mean_uniq_seqs_Tf, 1))
-        run.info("Count with single unique seq", single_count_Tf)
-        run.info("Mean reads per seq", round(mean_reads_Tf, 1))
-        run.info("Max reads per seq", max_reads_Tf)
-        run.info(f"Count with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", long_5prime_count_Tf, nl_after=1)
+        warning(None, "Trimmed seq counts", lc='cyan')
+        info("tRNA profile", count_Tf)
+        info("Truncated tRNA profile", count_Tc)
 
-        run.info_single("Trimmed seqs with truncated tRNA profile")
-        run.info("Count with anticodon", anticodon_count_Tc)
-        run.info("Mean unique seqs per seq", round(mean_uniq_seqs_Tc, 1))
-        run.info("Count with single unique seq", single_uniq_seq_count_Tc)
-        run.info("Mean reads per seq", round(mean_reads_Tc, 1))
-        run.info("Max reads per seq", max_reads_Tc, nl_after=2)
+        warning(None, "Trimmed seqs with tRNA profile", lc='cyan')
+        info("Count with anticodon", anticodon_count_Tf)
+        info("Count with complete feature set", complete_count_Tf)
+        info("Mean unique seqs per seq", round(mean_uniq_seqs_Tf, 1))
+        info("Count with single unique seq", single_count_Tf)
+        info("Mean reads per seq", round(mean_reads_Tf, 1))
+        info("Max reads per seq", max_reads_Tf)
+        info(f"Count with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", long_5prime_count_Tf)
+
+        warning(None, "Trimmed seqs with truncated tRNA profile", lc='cyan')
+        info("Count with anticodon", anticodon_count_Tc)
+        info("Mean unique seqs per seq", round(mean_uniq_seqs_Tc, 1))
+        info("Count with single unique seq", single_uniq_seq_count_Tc)
+        info("Mean reads per seq", round(mean_reads_Tc, 1))
+        info("Max reads per seq", max_reads_Tc, nl_after=1)
 
 
     def threeprime_dereplicate_profiled_trna(self):
@@ -2323,11 +2347,11 @@ def threeprime_dereplicate_profiled_trna(self):
         clusters = Dereplicator(names, reverse_strings, extras=seqs_Tf).prefix_dereplicate()
 
         # Profiling may have found multiple Tf that would here be 3'-dereplicated as having
-        # complete, but different, feature profiles. Consider the shortest "completely profiled" Tf
-        # in the cluster to have the correct profile. Reclassify discrepant 5' nts from Uf in longer
-        # Tf as extra 5' nts. Transfer the profile information from the representative Uf of the
-        # shortest Tf to Uf of longer Tf, replacing these longer Uf with Us objects. Produce a new
-        # Tf object from these Uf and Us.
+        # complete, but different, feature profiles. Assume that the shortest "completely profiled"
+        # Tf in the cluster has the correct profile (with an exception explained with an asterisk
+        # below). Reclassify discrepant 5' nts from Uf in longer Tf as extra 5' nts. Transfer the
+        # profile information from the representative Uf of the shortest Tf to Uf of longer Tf,
+        # replacing these longer Uf with Us objects. Produce a new Tf object from these Uf and Us.
 
         # Similarly, the longest Tf in the cluster may have an erroneous "incomplete profile." If
         # there is a shorter Tf in the cluster with a complete profile, then any longer Tf with an
@@ -2355,23 +2379,19 @@ def threeprime_dereplicate_profiled_trna(self):
         dict_Uf = self.dict_Uf
 
         # It is possible that trimmed sequences from multiple clusters can consolidate.
-        self.count_consol_Tf = 0
         dict_consol_Tf = {}
 
         # This dict is for an edge case explained below.
         dict_Tf_His = {}
 
-        if anvio.DEBUG:
-            consol_seqs_with_inconsis_profiles_file = open(self.consol_seqs_with_inconsis_profiles_path, 'w')
-            consol_seqs_with_inconsis_profiles_file.write("Index\tTrimmed (0) or Unique (1)\tSequence\n")
-            inconsis_profile_cluster_count = 0
-
+        unrepresent_complete_profile_Tf_names = []
         for cluster in clusters:
             # Skip initialization of Nf objects, as additional Tf members are later added to the
             # objects after dereplicating Tc and mapping Tm.
             seqs_Tf = cluster.member_extras
+            represent_name = seqs_Tf[0].name
             if len(seqs_Tf) == 1:
-                dict_Nf[seqs_Tf[0].name] = NormalizedFullProfileSequence(seqs_Tf)
+                dict_Nf[represent_name] = NormalizedFullProfileSequence(seqs_Tf)
                 continue
 
             # Check that there are no shorter Tf in the cluster with a "complete profile".
@@ -2381,11 +2401,19 @@ def threeprime_dereplicate_profiled_trna(self):
                     complete_profile_indices.append(index_Tf)
 
             if not complete_profile_indices:
-                dict_Nf[seqs_Tf[0].name] = NormalizedFullProfileSequence(seqs_Tf)
+                dict_Nf[represent_name] = NormalizedFullProfileSequence(seqs_Tf)
                 continue
 
-            if complete_profile_indices == [0]:
-                dict_Nf[seqs_Tf[0].name] = NormalizedFullProfileSequence(seqs_Tf)
+            if len(complete_profile_indices) == 1:
+                # * Most frequently, the longest sequence has a complete profile. An edge case can
+                # occur when the longest sequence does not have a complete profile while a shorter
+                # sequence does. The shorter sequence may appear as a member of another cluster and
+                # become the representative sequence due to consolidation. Prevent that
+                # consolidation from happening, forming a normalized sequence as per usual from the
+                # trimmed sequences, with the longest being representative. *
+                dict_Nf[represent_name] = NormalizedFullProfileSequence(seqs_Tf)
+                if complete_profile_indices != [0]:
+                    unrepresent_complete_profile_Tf_names.append(seqs_Tf[complete_profile_indices[0]].name)
                 continue
 
             # Reaching this point means that there are multiple Tf with "complete profiles" in the
@@ -2406,18 +2434,6 @@ def threeprime_dereplicate_profiled_trna(self):
                     # has not been checked. In this case, consolidate the Tf, retaining the profile
                     # of the shortest.
 
-            if anvio.DEBUG:
-                # Report consolidated Tf with different complete feature profiles.
-                inconsis_profile_cluster_count += 1
-                for seq_Tf in seqs_Tf[: complete_profile_indices[-1] + 1]:
-                    consol_seqs_with_inconsis_profiles_file.write(str(inconsis_profile_cluster_count) + "\t")
-                    consol_seqs_with_inconsis_profiles_file.write("0\t")
-                    consol_seqs_with_inconsis_profiles_file.write(seq_Tf.string + "\n")
-                    for name_Uf in seq_Tf.names_U:
-                        consol_seqs_with_inconsis_profiles_file.write(str(inconsis_profile_cluster_count) + "\t")
-                        consol_seqs_with_inconsis_profiles_file.write("1\t")
-                        consol_seqs_with_inconsis_profiles_file.write(dict_Uf[name_Uf].string + "\n")
-
             short_seq_Tf = seqs_Tf[complete_profile_indices[-1]]
             if short_seq_Tf.name in dict_consol_Tf:
                 # Tf from multiple clusters consolidate with the same shorter Tf with a complete
@@ -2438,8 +2454,6 @@ def threeprime_dereplicate_profiled_trna(self):
                 dict_consol_Tf[short_seq_Tf.name] = {'short_seq_Tf': short_seq_Tf,
                                                      'long_seqs_Tf': seqs_Tf[: complete_profile_indices[-1]],
                                                      'Nf_members': seqs_Tf[complete_profile_indices[-1] + 1: ]}
-        if anvio.DEBUG:
-            consol_seqs_with_inconsis_profiles_file.close()
 
         # Consider the following edge case. One cluster had two Tf with complete profiles, Tf1 and
         # Tf2, so the two were consolidated, forming Nf1.
@@ -2457,11 +2471,43 @@ def threeprime_dereplicate_profiled_trna(self):
             else:
                 dict_Nf[seqs_Tf[0].name] = NormalizedFullProfileSequence(seqs_Tf)
 
+        consol_seqs_with_inconsis_profiles_file = open(self.consol_seqs_with_inconsis_profiles_path, 'w')
+        consol_seqs_with_inconsis_profiles_file.write("Index\tTrimmed (0) or Unique (1)\tSequence\n")
+
+        count_consol_Tf = 0
+        dict_Us = self.dict_Us
         for subdict_consol_Tf in dict_consol_Tf.values():
-            self.count_consol_Tf += 1
+            if subdict_consol_Tf['short_seq_Tf'].name in unrepresent_complete_profile_Tf_names:
+                long_seqs_Tf = subdict_consol_Tf['long_seqs_Tf']
+                dict_Nf[long_seqs_Tf[0].name] = NormalizedFullProfileSequence(long_seqs_Tf + [subdict_consol_Tf['short_seq_Tf']])
+                continue
+
+            count_consol_Tf += 1
             consol_seq_Tf = self.consolidate_trimmed_sequences(subdict_consol_Tf['short_seq_Tf'], subdict_consol_Tf['long_seqs_Tf'])
             dict_Nf[consol_seq_Tf.name] = NormalizedFullProfileSequence([consol_seq_Tf] + subdict_consol_Tf['Nf_members'])
 
+            # Report consolidated Tf with different complete feature profiles.
+            first_field = str(count_consol_Tf) + "\t"
+            for seq_Tf in subdict_consol_Tf['long_seqs_Tf']:
+                consol_seqs_with_inconsis_profiles_file.write(first_field)
+                consol_seqs_with_inconsis_profiles_file.write("0\t")
+                consol_seqs_with_inconsis_profiles_file.write(seq_Tf.string + "\n")
+                for name_Us in seq_Tf.names_U:
+                    consol_seqs_with_inconsis_profiles_file.write(first_field)
+                    consol_seqs_with_inconsis_profiles_file.write("1\t")
+                    consol_seqs_with_inconsis_profiles_file.write(dict_Us[name_Us].string + "\n")
+            seq_Tf = subdict_consol_Tf['short_seq_Tf']
+            consol_seqs_with_inconsis_profiles_file.write(first_field)
+            consol_seqs_with_inconsis_profiles_file.write("0\t")
+            consol_seqs_with_inconsis_profiles_file.write(seq_Tf.string + "\n")
+            for name_Uf in seq_Tf.names_U:
+                consol_seqs_with_inconsis_profiles_file.write(first_field)
+                consol_seqs_with_inconsis_profiles_file.write("1\t")
+                consol_seqs_with_inconsis_profiles_file.write(dict_Uf[name_Uf].string + "\n")
+
+        self.count_consol_Tf = count_consol_Tf
+        consol_seqs_with_inconsis_profiles_file.close()
+
         with open(self.analysis_summary_path, 'a') as f:
             f.write(self.get_summary_line("Time elapsed 3'-dereplicating trimmed profiled seqs", time.time() - start_time, is_time_value=True))
 
@@ -2480,18 +2526,18 @@ def consolidate_trimmed_sequences(self, short_seq_Tf, long_seqs_Tf):
         replacement_info_dict = {'string_T': short_seq_Tf.string}
         feature_index_adjustment = -short_seq_Uf.xtra_5prime_length - len(short_seq_Tf_string)
         feature_starts_from_T_3prime = []
-        for feature_start_index in short_seq_Uf.feature_start_indices:
-            if isinstance(feature_start_index, int):
-                feature_starts_from_T_3prime.append(feature_start_index + feature_index_adjustment)
+        for feature_start in short_seq_Uf.feature_starts:
+            if isinstance(feature_start, int):
+                feature_starts_from_T_3prime.append(feature_start + feature_index_adjustment)
             else:
-                feature_starts_from_T_3prime.append(tuple([strand_start_index + feature_index_adjustment for strand_start_index in feature_start_index]))
+                feature_starts_from_T_3prime.append(tuple([strand_start + feature_index_adjustment for strand_start in feature_start]))
         replacement_info_dict['feature_starts_from_T_3prime'] = feature_starts_from_T_3prime
         feature_stops_from_T_3prime = []
-        for feature_stop_index in short_seq_Uf.feature_stop_indices:
-            if isinstance(feature_stop_index, int):
-                feature_stops_from_T_3prime.append(feature_stop_index + feature_index_adjustment)
+        for feature_stop in short_seq_Uf.feature_stops:
+            if isinstance(feature_stop, int):
+                feature_stops_from_T_3prime.append(feature_stop + feature_index_adjustment)
             else:
-                feature_stops_from_T_3prime.append(tuple([strand_stop_index + feature_index_adjustment for strand_stop_index in feature_stop_index]))
+                feature_stops_from_T_3prime.append(tuple([strand_stop + feature_index_adjustment for strand_stop in feature_stop]))
         replacement_info_dict['feature_stops_from_T_3prime'] = feature_stops_from_T_3prime
         replacement_info_dict['has_His_G'] = short_seq_Uf.has_His_G
         replacement_info_dict['alpha_start_from_T_3prime'] = None if short_seq_Uf.alpha_start is None else short_seq_Uf.alpha_start + feature_index_adjustment
@@ -2668,7 +2714,7 @@ def threeprime_dereplicate_truncated_sequences(self):
                         anticodon_start_relative_to_3prime_terminus = dict_Nf_anticodon[seq_Nf.name]
                     except KeyError:
                         try:
-                            anticodon_loop_start = seq_Tf.feature_start_indices[RELATIVE_ANTICODON_LOOP_INDEX]
+                            anticodon_loop_start = seq_Tf.feature_starts[RELATIVE_ANTICODON_LOOP_INDEX]
                         except IndexError:
                             # The anticodon loop was not reached in the profile.
                             anticodon_loop_start = -1
@@ -2676,7 +2722,7 @@ def threeprime_dereplicate_truncated_sequences(self):
                             # The anticodon loop was profiled.
                             anticodon_start = anticodon_loop_start + 2
                             # The position of the anticodon relative to the 3' terminus is a negative number.
-                            anticodon_start_relative_to_3prime_terminus = anticodon_start - dict_Uf[seq_Tf.names_U[0]].feature_start_indices[-1]
+                            anticodon_start_relative_to_3prime_terminus = anticodon_start - dict_Uf[seq_Tf.names_U[0]].feature_starts[-1]
                         else:
                             # The anticodon loop was not profiled, indicated by a positive number.
                             anticodon_start_relative_to_3prime_terminus = 1
@@ -2708,7 +2754,7 @@ def threeprime_dereplicate_truncated_sequences(self):
         self.progress.end()
 
 
-    def report_3prime_derep_stats(self):
+    def report_threeprime_dereplication_statistics(self):
         """Report to terminal stats regarding 3'-dereplication immediately after these steps."""
         count_Nf = len(self.dict_Nf)
         anticodon_count_Nf = 0
@@ -2805,41 +2851,45 @@ def report_3prime_derep_stats(self):
         mean_spec_reads_Nc /= count_Nc
         mean_nonspec_reads_Nc /= count_Nc
 
-        run = self.run
-        run.info_single("Results of 3' dereplication (subject to change -- see summary output file for final results)", nl_after=1)
-
-        run.info_single("Normalized seq counts")
-        run.info("tRNA profile", count_Nf)
-        run.info("Truncated tRNA profile", count_Nc, nl_after=1)
-
-        run.info_single("Normalized seqs with tRNA profile")
-        run.info("Containing anticodon", anticodon_count_Nf)
-        run.info("Containing complete feature set", complete_count_Nf)
-        run.info("Mean specific trimmed seqs per seq", round(mean_spec_T_Nf, 1))
-        run.info("Mean nonspecific trimmed seqs per seq", round(mean_nonspec_T_Nf, 1))
-        run.info("Mean specific unique seqs per seq", round(mean_spec_U_Nf, 1))
-        run.info("Mean nonspecific unique seqs per seq", round(mean_nonspec_U_Nf, 1))
-        run.info("Mean specific reads per seq", round(spec_reads_Nf, 1))
-        run.info("Mean nonspecific reads per seq", round(nonspec_reads_Nf, 1))
-        run.info("Max specific reads per seq", max_spec_reads_Nf)
-        run.info("Max nonspecific reads per seq", max_nonspec_reads_Nf)
-        run.info("Max total reads per seq", max_total_reads_Nf)
-        run.info("Recovered trimmed seqs with truncated profile", count_Tc_trna_Nf)
-        run.info("Recovered unique seqs with truncated profile", count_Uc_trna_Nf)
-        run.info("Recovered reads with truncated profile", read_count_Uc_trna_Nf)
-        run.info("Mean recovered trunc trimmed seqs per seq", round(mean_Tc_trna_Nf, 2))
-        run.info("Mean recovered trunc unique seqs per seq", round(mean_Uc_trna_Nf, 2))
-        run.info("Mean recovered trunc reads per seq", round(mean_Uc_reads_Nf, 2))
-        run.info("Consolidated trimmed tRNA seqs", self.count_consol_Tf, nl_after=1)
-
-        run.info_single("Normalized seqs with truncated tRNA profile")
-        run.info("Containing anticodon", anticodon_count_Nc)
-        run.info("Mean specific trimmed seqs per seq", round(mean_spec_T_Nc, 1))
-        run.info("Mean nonspecific trimmed seqs per seq", round(mean_nonspec_T_Nc, 1))
-        run.info("Mean specific unique seqs per seq", round(mean_spec_U_Nc, 1))
-        run.info("Mean nonspecific unique seqs per seq", round(mean_nonspec_U_Nc, 1))
-        run.info("Mean specific reads per seq", round(mean_spec_reads_Nc, 1))
-        run.info("Mean nonspecific reads per seq", round(mean_nonspec_reads_Nc, 1), nl_after=2)
+        warning = self.run.warning
+        info_single = self.run.info_single
+        info = self.run.info
+
+        warning(None, "3' DEREPLICATION RESULTS", lc='green')
+        info_single("subject to change -- see summary output file for final results")
+
+        warning(None, "Normalized seq counts", lc='cyan')
+        info("tRNA profile", count_Nf)
+        info("Truncated tRNA profile", count_Nc)
+
+        warning(None, "Normalized seqs with tRNA profile", lc='cyan')
+        info("Containing anticodon", anticodon_count_Nf)
+        info("Containing complete feature set", complete_count_Nf)
+        info("Mean specific trimmed seqs per seq", round(mean_spec_T_Nf, 1))
+        info("Mean nonspecific trimmed seqs per seq", round(mean_nonspec_T_Nf, 1))
+        info("Mean specific unique seqs per seq", round(mean_spec_U_Nf, 1))
+        info("Mean nonspecific unique seqs per seq", round(mean_nonspec_U_Nf, 1))
+        info("Mean specific reads per seq", round(spec_reads_Nf, 1))
+        info("Mean nonspecific reads per seq", round(nonspec_reads_Nf, 1))
+        info("Max specific reads per seq", max_spec_reads_Nf)
+        info("Max nonspecific reads per seq", max_nonspec_reads_Nf)
+        info("Max total reads per seq", max_total_reads_Nf)
+        info("Recovered trimmed seqs with truncated profile", count_Tc_trna_Nf)
+        info("Recovered unique seqs with truncated profile", count_Uc_trna_Nf)
+        info("Recovered reads with truncated profile", read_count_Uc_trna_Nf)
+        info("Mean recovered trunc trimmed seqs per seq", round(mean_Tc_trna_Nf, 2))
+        info("Mean recovered trunc unique seqs per seq", round(mean_Uc_trna_Nf, 2))
+        info("Mean recovered trunc reads per seq", round(mean_Uc_reads_Nf, 2))
+        info("Consolidated trimmed tRNA seqs", self.count_consol_Tf, nl_after=1)
+
+        warning(None, "Normalized seqs with truncated tRNA profile", lc='cyan')
+        info("Containing anticodon", anticodon_count_Nc)
+        info("Mean specific trimmed seqs per seq", round(mean_spec_T_Nc, 1))
+        info("Mean nonspecific trimmed seqs per seq", round(mean_nonspec_T_Nc, 1))
+        info("Mean specific unique seqs per seq", round(mean_spec_U_Nc, 1))
+        info("Mean nonspecific unique seqs per seq", round(mean_nonspec_U_Nc, 1))
+        info("Mean specific reads per seq", round(mean_spec_reads_Nc, 1))
+        info("Mean nonspecific reads per seq", round(mean_nonspec_reads_Nc, 1), nl_after=2 if self.write_checkpoints else 1)
 
 
     def write_checkpoint_files(self, checkpoint_name):
@@ -2863,18 +2913,19 @@ def write_checkpoint_files(self, checkpoint_name):
 
 
     def load_checkpoint_files(self, checkpoint_name):
-        progress = self.progress
-        progress.new(f"Loading intermediate files at the \"{checkpoint_name}\" checkpoint")
+        pid = f"Loading intermediate files at the \"{checkpoint_name}\" checkpoint"
+        self.progress.new(pid)
 
         for intermed_file_key, intermed_file_path in self.intermed_file_path_dict[checkpoint_name].items():
-            progress.update(f"{os.path.basename(intermed_file_path)}")
+            self.progress.update_pid(pid)
+            self.progress.update(f"{os.path.basename(intermed_file_path)}")
             with open(intermed_file_path, 'rb') as f:
                 setattr(self, intermed_file_key, pkl.load(f))
 
         with open(self.analysis_summary_path, 'a') as f:
             f.write(f"\nAnalysis restarted from the \"{checkpoint_name}\" checkpoint\n")
 
-        progress.end()
+        self.progress.end()
         self.run.info_single(f"Loaded \"{checkpoint_name}\" checkpoint intermediate files from {self.checkpoint_subdir_dict[checkpoint_name]}")
 
 
@@ -2998,9 +3049,8 @@ def map_fragments(self):
         """
         start_time = time.time()
 
-        progress = self.progress
         pid = "Set up search of unprofiled reads to profiled tRNA"
-        progress.new(pid)
+        self.progress.new(pid)
 
         self.progress.update("Getting queries from unprofiled reads")
         temp_dir_path = filesnpaths.get_temp_directory_path()
@@ -3016,13 +3066,14 @@ def map_fragments(self):
                 query_count += 1
 
 
-        progress.update_pid(pid)
-        progress.update("Getting targets from profiled tRNAs")
+        self.progress.update_pid(pid)
+        self.progress.update("Getting targets from profiled tRNAs")
         # Un are mapped to Nf with extra 5' bases added when present in underlying U. Multiple
         # targets for each Nf are therefore produced for different 5' extensions.
         target_fasta_path = os.path.join(temp_dir_path, 'target.fa')
         dict_Tf = self.dict_Tf
         dict_Uf = self.dict_Uf
+        dict_Us = self.dict_Us
         with open(target_fasta_path, 'w') as target_fasta:
             for seq_Nf in self.dict_Nf.values():
                 string_Nf = seq_Nf.string
@@ -3031,10 +3082,13 @@ def map_fragments(self):
                 longest_Tf = dict_Tf[seq_Nf.names_T[0]]
                 if longest_Tf.uniq_with_xtra_5prime_count > 0:
                     set_5prime_string = set()
-                    for name_Uf in longest_Tf.names_U:
-                        seq_Uf = dict_Uf[name_Uf]
-                        if seq_Uf.xtra_5prime_length > 0:
-                            set_5prime_string.add(seq_Uf.string[: seq_Uf.xtra_5prime_length])
+                    for name_U in longest_Tf.names_U:
+                        try:
+                            seq_U = dict_Uf[name_U]
+                        except KeyError:
+                            seq_U = dict_Us[name_U]
+                        if seq_U.xtra_5prime_length > 0:
+                            set_5prime_string.add(seq_U.string[: seq_U.xtra_5prime_length])
 
                     # Avoid creating superfluous target seqs that are subseqs of other target seqs
                     # due to a 5' extension of an Nf being a subseq of a longer 5' extension of the
@@ -3055,7 +3109,7 @@ def map_fragments(self):
                         target_fasta.write(f">{seq_Nf.name}-{len(string_5prime)}-{index_5prime}\n{string_5prime}{string_Nf}\n")
                 else:
                     target_fasta.write(f">{seq_Nf.name}-0-0\n{string_Nf}\n") # no extra 5' bases
-        progress.end()
+        self.progress.end()
 
 
         # Use a 10x bigger query chunk size than the Vmatch default, as the rather conservative
@@ -3070,8 +3124,8 @@ def map_fragments(self):
                                              temp_dir=temp_dir_path)).search_queries()
 
         pid = "Filtering matches"
-        progress.new(pid)
-        progress.update("...")
+        self.progress.new(pid)
+        self.progress.update("...")
 
         self.restructure_fragment_match_table(match_df)
 
@@ -3091,8 +3145,8 @@ def map_fragments(self):
             num_filtered_queries += 1
             if num_filtered_queries % fragment_filter_progress_interval == 0:
                 pp_progress_interval_end = pp(total_matched_queries if num_filtered_queries + fragment_filter_progress_interval > total_matched_queries else num_filtered_queries + fragment_filter_progress_interval)
-                progress.update_pid(pid)
-                progress.update(f"Queries {pp(num_filtered_queries + 1)}-{pp_progress_interval_end}/{pp_total_matched_queries}")
+                self.progress.update_pid(pid)
+                self.progress.update(f"Queries {pp(num_filtered_queries + 1)}-{pp_progress_interval_end}/{pp_total_matched_queries}")
 
             # Each Un with a validated match will yield a Um and Tm.
             seq_Um = None
@@ -3157,7 +3211,7 @@ def map_fragments(self):
                             seq_Nf.starts_T_in_N.append(start_Tm_in_Nf)
                             seq_Nf.stops_T_in_N.append(stop_Tm_in_Nf)
                             break
-        progress.end()
+        self.progress.end()
 
         with open(self.analysis_summary_path, 'a') as f:
             f.write(self.get_summary_line("Time elapsed mapping tRNA fragments (min)", time.time() - start_time, is_time_value=True))
@@ -3182,7 +3236,7 @@ def restructure_fragment_match_table(self, match_df):
         match_df['length_5prime'] = lengths_5prime
 
 
-    def report_map_stats(self):
+    def report_mapping_statistics(self):
         """Report to terminal stats on fragment mapping immediately after these steps."""
         count_spec_Nf = 0
         count_nonspec_Nf = 0
@@ -3214,17 +3268,11 @@ def report_map_stats(self):
         nonspec_reads_Nf /= count_Nf
 
         count_spec_Tm = 0
-        count_nonspec_Tm = 0
         reads_spec_Tm = 0
-        reads_nonspec_Tm = 0
         spec_short_5prime_seq_Tm = 0
-        nonspec_short_5prime_seq_Tm = 0
         spec_long_5prime_seq_Tm = 0
-        nonspec_long_5prime_seq_Tm = 0
         spec_short_5prime_read_Tm = 0
-        nonspec_short_5prime_read_Tm = 0
         spec_long_5prime_read_Tm = 0
-        nonspec_long_5prime_read_Tm = 0
         spec_short_5prime_Nf_names = []
         spec_long_5prime_Nf_names = []
         nonspec_short_5prime_Nf_names = []
@@ -3243,64 +3291,55 @@ def report_map_stats(self):
                         spec_short_5prime_read_Tm += seq_Tm.read_count
                         spec_short_5prime_Nf_names.append(seq_Tm.names_N[0])
             else:
-                count_nonspec_Tm += 1
-                reads_nonspec_Tm += seq_Tm.read_count
                 if seq_Tm.read_with_xtra_5prime_count:
                     if seq_Tm.long_5prime_extension_dict:
-                        nonspec_long_5prime_seq_Tm += 1
-                        nonspec_long_5prime_read_Tm += seq_Tm.read_count
                         nonspec_long_5prime_Nf_names.extend(seq_Tm.names_N)
                     else:
-                        nonspec_short_5prime_seq_Tm += 1
-                        nonspec_short_5prime_read_Tm += seq_Tm.read_count
                         nonspec_short_5prime_Nf_names.extend(seq_Tm.names_N)
         spec_short_5prime_Nf = len(set(spec_short_5prime_Nf_names))
         spec_long_5prime_Nf = len(set(spec_long_5prime_Nf_names))
         nonspec_short_5prime_Nf = len(set(nonspec_short_5prime_Nf_names))
         nonspec_long_5prime_Nf = len(set(nonspec_long_5prime_Nf_names))
 
-        run = self.run
-        run.info_single("Results of fragment mapping (subject to change -- see summary output file for final results)", nl_before=2, nl_after=1)
-
-        run.info_single("Normalized seqs with tRNA profile")
-        run.info("With specific mapping", count_spec_Nf)
-        run.info("With nonspecific mapping", count_nonspec_Nf)
-        run.info("With any mapping", count_any_Nf)
-        run.info("Mean specific mapped seqs per seq", round(mean_spec_Tm_Nf, 2))
-        run.info("Mean nonspecific mapped seqs per seq", round(mean_nonspec_Tm_Nf, 2))
-        run.info("Mean specific mapped reads per seq", round(spec_reads_Nf, 2))
-        run.info("Mean nonspecific mapped reads per seq", round(nonspec_reads_Nf, 2))
-        run.info(f"With specific mapping to 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_Nf)
-        run.info(f"With specific mapping to ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_Nf)
-        run.info(f"With nonspecific mapping to 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_short_5prime_Nf)
-        run.info(f"With nonspecific mapping to ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_long_5prime_Nf, nl_after=1)
-
-        run.info_single("Mapped seq counts")
-        run.info("Specific seqs", count_spec_Tm)
-        run.info("Nonspecific seqs", count_nonspec_Tm)
-        run.info("Specific reads", reads_spec_Tm)
-        run.info("Nonspecific reads", reads_nonspec_Tm)
-        run.info(f"Specific seqs with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_seq_Tm)
-        run.info(f"Specific seqs with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_seq_Tm)
-        run.info(f"Specific reads with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_read_Tm)
-        run.info(f"Specific reads with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_read_Tm)
-        run.info(f"Nonspecific seqs with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_short_5prime_seq_Tm)
-        run.info(f"Nonspecific seqs with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_long_5prime_seq_Tm)
-        run.info(f"Nonspecific reads with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_short_5prime_read_Tm)
-        run.info(f"Nonspecific reads with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_long_5prime_read_Tm)
+        warning = self.run.warning
+        info_single = self.run.info_single
+        info = self.run.info
+
+        warning(None, "FRAGMENT MAPPING RESULTS", lc='green', nl_before=1 if self.write_checkpoints else 0)
+        info_single("subject to change -- see summary output file for final results")
+
+        warning(None, "Normalized seqs with tRNA profile", lc='cyan')
+        info("With specific mapping", count_spec_Nf)
+        info("With nonspecific mapping", count_nonspec_Nf)
+        info("With any mapping", count_any_Nf)
+        info("Mean specific mapped seqs per seq", round(mean_spec_Tm_Nf, 2))
+        info("Mean nonspecific mapped seqs per seq", round(mean_nonspec_Tm_Nf, 2))
+        info("Mean specific mapped reads per seq", round(spec_reads_Nf, 2))
+        info("Mean nonspecific mapped reads per seq", round(nonspec_reads_Nf, 2))
+        info(f"With specific mapping to 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_Nf)
+        info(f"With specific mapping to ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_Nf)
+        info(f"With nonspecific mapping to 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_short_5prime_Nf)
+        info(f"With nonspecific mapping to ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_long_5prime_Nf)
+
+        warning(None, "Mapped seq counts", lc='cyan')
+        info("Specific seqs", count_spec_Tm)
+        info("Specific reads", reads_spec_Tm)
+        info(f"Specific seqs with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_seq_Tm)
+        info(f"Specific seqs with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_seq_Tm)
+        info(f"Specific reads with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_read_Tm)
+        info(f"Specific reads with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_read_Tm)
         if not PROFILE_ABSENT_3PRIME_TERMINUS:
-            run.info("Seqs only missing a 3' terminus", absent_3prime_terminus_seqs_Tm)
-            run.info("Reads only missing a 3' terminus", absent_3prime_terminus_reads_Tm)
-            run.info_single("Consider including an absent 3' terminus (by using '_') "
-                            "in the `anvi-trnaseq` parameterization of allowed 3' termini "
-                            "if the number of mapped seqs identical to a normalized seq but missing a 3' terminus seems high.",
-                            mc='red')
+            info("Seqs only missing a 3' terminus", absent_3prime_terminus_seqs_Tm)
+            info("Reads only missing a 3' terminus", absent_3prime_terminus_reads_Tm)
+            info_single("Consider including an absent 3' terminus (by using '_') "
+                        "in the `anvi-trnaseq` parameterization of allowed 3' termini "
+                        "if the number of mapped seqs identical to a normalized seq but missing a 3' terminus seems high.",
+                        mc='red')
 
 
-    def report_N_cov_stats(self):
+    def report_initialized_normalized_sequence_coverage_statistics(self):
         """Report to terminal stats on N coverages immediately after N initialization."""
         spec_read_Nf = 0
-        nonspec_read_Nf = 0
         mean_spec_cov_Nf = 0
         mean_nonspec_cov_Nf = 0
         total_length_Nf = 0
@@ -3309,7 +3348,6 @@ def report_N_cov_stats(self):
         max_total_cov_Nf = 0
         for seq_Nf in self.dict_Nf.values():
             spec_read_Nf += seq_Nf.spec_read_count
-            nonspec_read_Nf += seq_Nf.nonspec_read_count
             length_Nf = len(seq_Nf.string)
             mean_spec_cov = seq_Nf.mean_spec_cov
             mean_nonspec_cov = seq_Nf.mean_nonspec_cov
@@ -3326,7 +3364,6 @@ def report_N_cov_stats(self):
         mean_nonspec_cov_Nf /= total_length_Nf
 
         spec_read_Nc = 0
-        nonspec_read_Nc = 0
         mean_spec_cov_Nc = 0
         mean_nonspec_cov_Nc = 0
         total_length_Nc = 0
@@ -3335,7 +3372,6 @@ def report_N_cov_stats(self):
         max_total_cov_Nc = 0
         for seq_Nc in self.dict_Nc.values():
             spec_read_Nc += seq_Nc.spec_read_count
-            nonspec_read_Nc += seq_Nc.nonspec_read_count
             length_Nc = len(seq_Nc.string)
             mean_spec_cov = seq_Nc.mean_spec_cov
             mean_nonspec_cov = seq_Nc.mean_nonspec_cov
@@ -3351,35 +3387,36 @@ def report_N_cov_stats(self):
         mean_spec_cov_Nc /= total_length_Nc
         mean_nonspec_cov_Nc /= total_length_Nc
 
-        run = self.run
-        run.info_single("Results of normalization (subject to change -- see summary output file for final results)", nl_before=2, nl_after=1)
+        warning = self.run.warning
+        info_single = self.run.info_single
+        info = self.run.info
+
+        warning(None, "NORMALIZATION RESULTS", lc='green', nl_before=1)
+        info_single("subject to change -- see summary output file for final results")
 
-        run.info_single("Normalized seqs with tRNA profile")
-        run.info("Specific reads", spec_read_Nf)
-        run.info("Nonspecific reads", nonspec_read_Nf)
-        run.info("Mean specific coverage", round(mean_spec_cov_Nf, 2))
-        run.info("Mean nonspecific coverage", round(mean_nonspec_cov_Nf, 2))
-        run.info("Max specific coverage", round(max_spec_cov_Nf, 2))
-        run.info("Max nonspecific coverage", round(max_nonspec_cov_Nf, 2))
-        run.info("Max total coverage", round(max_total_cov_Nf, 2), nl_after=1)
+        warning(None, "Normalized seqs with tRNA profile", lc='cyan')
+        info("Specific reads", spec_read_Nf)
+        info("Mean specific coverage", round(mean_spec_cov_Nf, 2))
+        info("Mean nonspecific coverage", round(mean_nonspec_cov_Nf, 2))
+        info("Max specific coverage", round(max_spec_cov_Nf, 2))
+        info("Max nonspecific coverage", round(max_nonspec_cov_Nf, 2))
+        info("Max total coverage", round(max_total_cov_Nf, 2))
 
-        run.info_single("Normalized seqs with truncated tRNA profile")
-        run.info("Specific reads", spec_read_Nc)
-        run.info("Nonspecific reads", nonspec_read_Nc)
-        run.info("Mean specific coverage", round(mean_spec_cov_Nc, 2))
-        run.info("Mean nonspecific coverage", round(mean_nonspec_cov_Nc, 2))
-        run.info("Max specific coverage", round(max_spec_cov_Nc, 2))
-        run.info("Max nonspecific coverage", round(max_nonspec_cov_Nc, 2))
-        run.info("Max total coverage", round(max_total_cov_Nc, 2), nl_after=2)
+        warning(None, "Normalized seqs with truncated tRNA profile", lc='cyan')
+        info("Specific reads", spec_read_Nc)
+        info("Mean specific coverage", round(mean_spec_cov_Nc, 2))
+        info("Mean nonspecific coverage", round(mean_nonspec_cov_Nc, 2))
+        info("Max specific coverage", round(max_spec_cov_Nc, 2))
+        info("Max nonspecific coverage", round(max_nonspec_cov_Nc, 2))
+        info("Max total coverage", round(max_total_cov_Nc, 2), nl_after=2)
 
 
     def find_substitutions(self):
         """Find sites of potential modification-induced substitutions."""
         start_time = time.time()
-        progress = self.progress
         pid = "Finding modification-induced substitutions"
-        progress.new(pid)
-        progress.update("...")
+        self.progress.new(pid)
+        self.progress.update("...")
 
         # Cluster Nf. Clusters agglomerate Nf that differ from at least one other Nf in the cluster
         # by no more than 3 nts in 100 (by default) in a gapless end-to-end alignment with no
@@ -3392,7 +3429,7 @@ def find_substitutions(self):
             names_Nf.append(name_Nf)
             strings_Nf.append(seq_Nf.string)
             dict_Nf_feature_completeness[name_Nf] = seq_Nf.has_complete_feature_set
-        progress.end()
+        self.progress.end()
 
         agglomerator = Agglomerator(names_Nf, strings_Nf, num_threads=self.num_threads)
         # Provide a priority function for seeding clusters that favors, in order:
@@ -3408,11 +3445,12 @@ def find_substitutions(self):
         agglom_aligned_ref_dict = agglomerator.agglom_aligned_ref_dict
 
         pid = "Decomposing clusters"
-        progress.new(pid)
-        progress.update("...")
+        self.progress.new(pid)
+        self.progress.update("...")
 
-        excluded_Nf_names = [] # Used to exclude Nf from being considered as aligned queries in clusters (see below)
-        names_Nf = [] # Used to prevent the same M from being created twice
+        excluded_Nf_names = [] # used to exclude Nf from being considered as aligned queries in clusters (see below)
+        represent_Nb_names = [] # used to prevent the same M from being created twice
+        dict_name_Nb_M = defaultdict(list)
         dict_M = self.dict_M
         num_processed_refs = -1
         total_ref_count = len(agglom_aligned_ref_dict)
@@ -3422,8 +3460,8 @@ def find_substitutions(self):
             num_processed_refs += 1
             if num_processed_refs % decomposition_progress_interval == 0:
                 pp_progress_interval_end = pp(total_ref_count if num_processed_refs + decomposition_progress_interval > total_ref_count else num_processed_refs + decomposition_progress_interval)
-                progress.update_pid(pid)
-                progress.update(f"{pp(num_processed_refs + 1)}-{pp_progress_interval_end}/{pp_total_ref_count}")
+                self.progress.update_pid(pid)
+                self.progress.update(f"{pp(num_processed_refs + 1)}-{pp_progress_interval_end}/{pp_total_ref_count}")
 
             # A mod requires at least 3 different nts to be detected, and each Nf differs by at
             # least 1 nt (mismatch or gap), so for a cluster to form an M, it must contain at least
@@ -3443,7 +3481,8 @@ def find_substitutions(self):
                 # The Nf query may have formed a M already. If the Nf had a complete feature
                 # profile, or if it was the same length as such a sequence, then it should not be
                 # able to form a longer M that would have 5' nts beyond the end of a complete
-                # feature profile.
+                # feature profile. This is only relevant when nonspecific Nf membership of M is
+                # allowed, which is not currently the case.
                 if query_name in excluded_Nf_names:
                     continue
 
@@ -3455,146 +3494,197 @@ def find_substitutions(self):
                 continue
 
             valid_aligned_queries.sort(key=lambda seq_Nf: (-len(seq_Nf.string), -seq_Nf.has_complete_feature_set, seq_Nf.name))
-
-            seq_array = np.zeros((len(valid_aligned_queries) + 1, aligned_ref_length), dtype=int)
-            # Rather than using the ASCII representation of each character, which saves some time in
-            # converting the sequence string to a numpy array, constrain the integer representation
-            # to the smallest possible range of integers to speed up the bincount method used to
-            # determine the number of unique nts at an alignment position.
-            seq_array[0, :] += [NT_INT_DICT[nt] for nt in aligned_ref.seq_string]
-            for query_index, aligned_query in enumerate(valid_aligned_queries, start=1):
-                seq_array[query_index, aligned_ref_length - len(aligned_query.string): ] += [NT_INT_DICT[nt] for nt in aligned_query.string]
-
             seqs_Nf = np.array([dict_Nf[ref_name]] + valid_aligned_queries)
 
-            # Find positions in the alignment with nt variability.
-            alignment_pos_uniq_nt_counts = (
-                np.bincount(
-                    (seq_array + np.arange(aligned_ref_length, dtype=int) * NUM_NT_BINS).ravel(),
-                    minlength=aligned_ref_length * NUM_NT_BINS
-                ).reshape(-1, NUM_NT_BINS)[:, 1:] != 0
-            ).sum(axis=1)
-            alignment_positions_3_4_nts = (alignment_pos_uniq_nt_counts > 2).nonzero()[0]
-
-            # Modification sites must have ≥ 3 nts.
-            if not alignment_positions_3_4_nts.size:
+            self.decompose_substitution_cluster(seqs_Nf, represent_Nb_names, excluded_Nf_names, dict_name_Nb_M, dict_M)
+
+        # Remove nonspecific Nf from M. Treat the remaining Nf in M as a cluster, from which a new M
+        # may be generated.
+        dict_M_with_nonspec_Nb = {}
+        count_nonspec_Nb = 0
+        while dict_name_Nb_M:
+            name_Nb, seqs_M = dict_name_Nb_M.popitem()
+            if len(seqs_M) > 1:
+                count_nonspec_Nb += 1
+                for seq_M in seqs_M:
+                    seq_M.names_Nb.remove(name_Nb)
+                    dict_M_with_nonspec_Nb[seq_M.name] = seq_M
+
+        count_M_with_nonspec_Nb = 0
+        count_rejected_M = 0
+        for seq_M in dict_M_with_nonspec_Nb.values():
+            count_M_with_nonspec_Nb += 1
+            seqs_Nf = []
+            for name_Nb in seq_M.names_Nb:
+                seqs_Nf.append(dict_Nf[name_Nb])
+
+            if not seqs_Nf:
+                # All Nb were nonspecific.
+                count_rejected_M += 1
+                dict_M.pop(seq_M.name)
                 continue
 
-            alignment_positions_2_nts = (alignment_pos_uniq_nt_counts == 2).nonzero()[0]
-            clusters = deque(((seq_array, seqs_Nf, alignment_positions_3_4_nts), ))
-            for alignment_pos in alignment_positions_2_nts:
-                next_clusters = deque() # Make a new object with each iteration rather than clearing the same one
+            try:
+                # Nf is no longer a representative Nf of a M ... for the time being -- M might be
+                # vindicated.
+                represent_Nb_names.remove(seqs_Nf[0].name)
+            except ValueError:
+                pass
 
-                while clusters:
-                    seq_array, seqs_Nf, alignment_positions_3_4_nts = clusters.pop()
+            dict_M.pop(seq_M.name)
+            found_M = self.decompose_substitution_cluster(np.array(seqs_Nf), represent_Nb_names, excluded_Nf_names, dict_name_Nb_M, dict_M)
+            if not found_M:
+                count_rejected_M += 1
 
-                    # A modification requires ≥ 3 different nts to be detected, and each Nf differs
-                    # by ≥ 1 nt, so for a cluster to form an M it must contain ≥ 3 Nf.
-                    if seqs_Nf.size < 3:
-                        continue
+        with open(self.analysis_summary_path, 'a') as f:
+            f.write(self.get_summary_line("Time elapsed finding modification-induced substitutions (min)", time.time() - start_time, is_time_value=True))
 
-                    aligned_nts = seq_array[:, alignment_pos]
-                    nt_counts = np.bincount(aligned_nts, minlength=NUM_NT_BINS)[1: ]
+        self.progress.end()
 
-                    if (nt_counts != 0).sum() < 2:
-                        # There are now < 2 nts at the alignment position in the cluster under
-                        # consideration. 2 different nts are needed to distinguish SNVs.
-                        next_clusters.appendleft((seq_array, seqs_Nf, alignment_positions_3_4_nts))
-                        continue
+        if count_nonspec_Nb:
+            self.run.info_single(f"{pp(count_nonspec_Nb)} nonspecific norm seqs "
+                                 f"were found in {pp(count_M_with_nonspec_Nb)} candidate mod seqs, "
+                                 f"resulting in {pp(count_rejected_M)} rejected candidates",
+                                 cut_after=100, nl_before=2 if self.write_checkpoints else 0)
+
+
+    def decompose_substitution_cluster(self, input_seqs_Nf, represent_Nb_names, excluded_Nf_names, dict_name_Nb_M, dict_M):
+        max_length_Nf = len(input_seqs_Nf[0].string)
+        seq_array = np.zeros((len(input_seqs_Nf), max_length_Nf), dtype=int)
+        # Rather than using the ASCII representation of each character, which saves some time in
+        # converting the sequence string to a numpy array, constrain the integer representation to
+        # the smallest possible range of integers to speed up the bincount method used to determine
+        # the number of unique nts at an alignment position.
+        for seq_index, seq_Nf in enumerate(input_seqs_Nf):
+            seq_array[seq_index, max_length_Nf - len(seq_Nf.string): ] += [NT_INT_DICT[nt] for nt in seq_Nf.string]
+
+        # Find positions in the alignment with nt variability.
+        alignment_pos_uniq_nt_counts = (
+            np.bincount(
+                (seq_array + np.arange(max_length_Nf, dtype=int) * NUM_NT_BINS).ravel(),
+                minlength=max_length_Nf * NUM_NT_BINS
+            ).reshape(-1, NUM_NT_BINS)[:, 1:] != 0
+        ).sum(axis=1)
+        alignment_positions_3_4_nts = (alignment_pos_uniq_nt_counts > 2).nonzero()[0]
+
+        # Modification-induced substitutions must have ≥ 3 nts.
+        if not alignment_positions_3_4_nts.size:
+            return False
+
+        alignment_positions_2_nts = (alignment_pos_uniq_nt_counts == 2).nonzero()[0]
+        clusters = deque(((seq_array, input_seqs_Nf, alignment_positions_3_4_nts), ))
+        for alignment_pos in alignment_positions_2_nts:
+            next_clusters = deque() # Make a new object with each iteration rather than clearing the same one
 
-                    # Add a new cluster for each SNV to the stack of clusters to process if: 1. the
-                    # new cluster contains ≥ 3 Nf and 2. the longest Nf (with a complete feature
-                    # profile, if applicable) in the new cluster has not yet formed an M.
-                    # Agglomerative clustering ensures that the Nf agglomerated with the longest Nf
-                    # will be the same regardless of the original unsplit cluster.
-                    represented_nts = nt_counts.nonzero()[0] + 1
+            while clusters:
+                seq_array, seqs_Nf, alignment_positions_3_4_nts = clusters.pop()
+
+                # A sub requires ≥ 3 different nts to be detected, and each Nf differs by ≥ 1 nt, so
+                # for a cluster to form an M it must contain ≥ 3 Nf.
+                if seqs_Nf.size < 3:
+                    continue
+
+                aligned_nts = seq_array[:, alignment_pos]
+                nt_counts = np.bincount(aligned_nts, minlength=NUM_NT_BINS)[1: ]
+
+                if (nt_counts != 0).sum() < 2:
+                    # There are now < 2 nts at the alignment position in the cluster under
+                    # consideration. 2 different nts are needed to distinguish SNVs.
+                    next_clusters.appendleft((seq_array, seqs_Nf, alignment_positions_3_4_nts))
+                    continue
+
+                # Add a new cluster for each SNV to the stack of clusters to process if: 1. the new
+                # cluster contains ≥ 3 Nf and 2. the longest Nf (with a complete feature profile, if
+                # applicable) in the new cluster has not yet formed an M.
+                represented_nts = nt_counts.nonzero()[0] + 1
+                for nt in represented_nts:
+                    split_cluster_seq_indices = (aligned_nts == nt).nonzero()[0]
+
+                    if split_cluster_seq_indices.size > 2:
+                        split_cluster_Nf_seqs = seqs_Nf[split_cluster_seq_indices]
+
+                        if split_cluster_Nf_seqs[0].name in represent_Nb_names:
+                            # Nf already seeded an M, which would be the same M, as the same
+                            # subcluster of Nf can be found in different agglomerations.
+                            continue
+
+                        next_clusters.appendleft((seq_array[split_cluster_seq_indices, :],
+                                                  split_cluster_Nf_seqs,
+                                                  alignment_positions_3_4_nts.copy()))
+
+            if next_clusters:
+                clusters = next_clusters
+            else:
+                return False
+
+        # Check alignment positions previously found to have 3-4 nts. Further split clusters when
+        # positions now have 2 nts.
+        next_clusters = deque()
+        while clusters:
+            seq_array, seqs_Nf, alignment_positions_3_4_nts = clusters.pop()
+            candidates_to_remove = []
+
+            for i, alignment_pos in enumerate(alignment_positions_3_4_nts):
+                aligned_nts = seq_array[:, alignment_pos]
+                nt_counts = np.bincount(aligned_nts, minlength=NUM_NT_BINS)[1: ]
+                # At least 3 different nts are needed at a position to predict a mod.
+                represented_nts = nt_counts.nonzero()[0] + 1
+                if represented_nts.size < 2:
+                    candidates_to_remove.append(i)
+                elif represented_nts.size == 2:
+                    candidates_to_remove.append(i)
                     for nt in represented_nts:
                         split_cluster_seq_indices = (aligned_nts == nt).nonzero()[0]
 
+                        # At least 3 Nf are needed, and the split cluster cannot have already formed
+                        # an M.
                         if split_cluster_seq_indices.size > 2:
                             split_cluster_Nf_seqs = seqs_Nf[split_cluster_seq_indices]
 
-                            if split_cluster_Nf_seqs[0].name in names_Nf:
+                            if split_cluster_Nf_seqs[0].name in represent_Nb_names:
                                 continue
 
-                            next_clusters.appendleft((seq_array[split_cluster_seq_indices, :],
-                                                      split_cluster_Nf_seqs,
-                                                      alignment_positions_3_4_nts.copy()))
-                if next_clusters:
-                    clusters = next_clusters
-                else:
+                            clusters.appendleft((seq_array[split_cluster_seq_indices, :],
+                                                 split_cluster_Nf_seqs,
+                                                 np.delete(alignment_positions_3_4_nts, candidates_to_remove)))
+                    # Reevaluate previous alignment positions in the split clusters.
                     break
-            if not clusters:
-                continue
-
-            # Check alignment positions previously found to have 3-4 nts. Further split clusters
-            # when positions now have 2 nts.
-            next_clusters = deque()
-            while clusters:
-                seq_array, seqs_Nf, alignment_positions_3_4_nts = clusters.pop()
-                candidates_to_remove = []
-
-                for i, alignment_pos in enumerate(alignment_positions_3_4_nts):
-                    aligned_nts = seq_array[:, alignment_pos]
-                    nt_counts = np.bincount(aligned_nts, minlength=NUM_NT_BINS)[1: ]
-                    # At least 3 different nts are needed at a position to predict a mod.
-                    represented_nts = nt_counts.nonzero()[0] + 1
-                    if represented_nts.size < 2:
-                        candidates_to_remove.append(i)
-                    elif represented_nts.size == 2:
-                        candidates_to_remove.append(i)
-                        for nt in represented_nts:
-                            split_cluster_seq_indices = (aligned_nts == nt).nonzero()[0]
-
-                            # At least 3 Nf are needed, and the split cluster cannot have already
-                            # formed an M.
-                            if split_cluster_seq_indices.size > 2:
-                                split_cluster_Nf_seqs = seqs_Nf[split_cluster_seq_indices]
-
-                                if split_cluster_Nf_seqs[0].name in names_Nf:
-                                    continue
-
-                                clusters.appendleft((seq_array[split_cluster_seq_indices, :],
-                                                     split_cluster_Nf_seqs,
-                                                     np.delete(alignment_positions_3_4_nts, candidates_to_remove)))
-                        # Reevaluate previous alignment positions in the split clusters.
-                        break
+            else:
+                # At least 1 position was discounted as no longer having 3-4 different nts, but
+                # these positions had < 2 nts, and so did not cause the cluster to be split into new
+                # clusters. Therefore, do not cycle through the remaining positions again to find
+                # any more with < 3 nts.
+                if candidates_to_remove:
+                    next_clusters.appendleft((seqs_Nf, np.delete(alignment_positions_3_4_nts, candidates_to_remove)))
                 else:
-                    # At least 1 position was discounted as no longer having 3-4 different nts, but
-                    # these positions had < 2 nts, and so did not cause the cluster to be split into
-                    # new clusters. Therefore, do not cycle through the remaining positions again to
-                    # find any more with < 3 nts.
-                    if candidates_to_remove:
-                        next_clusters.appendleft((seqs_Nf, np.delete(alignment_positions_3_4_nts, candidates_to_remove)))
-                    else:
-                        next_clusters.appendleft((seqs_Nf, alignment_positions_3_4_nts))
-
-            if not next_clusters:
-                continue
-            clusters = next_clusters
+                    next_clusters.appendleft((seqs_Nf, alignment_positions_3_4_nts))
 
-            while clusters:
-                seqs_Nf, mod_positions = clusters.pop() # Nf should have retained their order
-                seqs_Nf = list(seqs_Nf) # Turn the array into a list
-                represent_Nf_seq = seqs_Nf[0]
-
-                length_represent_Nf = len(represent_Nf_seq.string)
-                represent_Nf_start_in_array = aligned_ref_length - length_represent_Nf
-                mod_positions -= represent_Nf_start_in_array
-                seq_M = ModifiedSequence(seqs_Nf, tuple(mod_positions))
-
-                if represent_Nf_seq.has_complete_feature_set:
-                    for seq_Nf in seqs_Nf:
-                        if len(seq_Nf.string) < length_represent_Nf:
-                            break
-                        excluded_Nf_names.append(seq_Nf.name)
-
-                dict_M[seq_M.name] = seq_M
+        if not next_clusters:
+            return False
+        clusters = next_clusters
+
+        while clusters:
+            seqs_Nf, sub_positions = clusters.pop() # Nf should have retained their order
+            seqs_Nf = list(seqs_Nf) # Turn the array into a list
+            represent_Nf_seq = seqs_Nf[0]
+
+            represent_Nf_length = len(represent_Nf_seq.string)
+            represent_Nf_start_in_array = max_length_Nf - represent_Nf_length
+            sub_positions -= represent_Nf_start_in_array
+            seq_M = ModifiedSequence(seqs_Nf, tuple(sub_positions))
+
+            represent_Nb_names.append(represent_Nf_seq.name)
+            if represent_Nf_seq.has_complete_feature_set:
+                for seq_Nf in seqs_Nf:
+                    if len(seq_Nf.string) < represent_Nf_length:
+                        break
+                    excluded_Nf_names.append(seq_Nf.name)
 
-        with open(self.analysis_summary_path, 'a') as f:
-            f.write(self.get_summary_line("Time elapsed finding modification-induced substitutions (min)", time.time() - start_time, is_time_value=True))
+            for seq_Nf in seqs_Nf:
+                dict_name_Nb_M[seq_Nf.name].append(seq_M)
 
-        progress.end()
+            dict_M[seq_M.name] = seq_M
+            return True
 
 
     def report_sub_stats(self):
@@ -3610,11 +3700,13 @@ def report_sub_stats(self):
         mean_sub_per_seq = total_sub_count / count_M
         mean_sub_per_nt = total_sub_count / total_length_M
 
-        run = self.run
-        run.info_single("Results of substitution search", nl_before=2)
-        run.info("Modified seqs", count_M)
-        run.info("Mean (*potential*) subs per modified seq", round(mean_sub_per_seq, 1))
-        run.info("Mean subs per nt in modified seq", round(mean_sub_per_nt, 3), nl_after=2)
+        warning = self.run.warning
+        info = self.run.info
+
+        warning(None, "SUBSTITUTION SEARCH RESULTS", lc='green', nl_before=1)
+        info("Modified seqs", count_M)
+        info("Mean (*potential*) subs per modified seq", round(mean_sub_per_seq, 1))
+        info("Mean subs per nt in modified seq", round(mean_sub_per_nt, 3), nl_after=2)
 
 
     def find_indels(self):
@@ -3650,9 +3742,7 @@ def find_indels(self):
         could theoretically originate from different cDNA seqs, with some containing an indel, and
         others, representing a different tRNA, not containing it."""
         pid = "Finding seqs with mod-induced indels"
-        progress = self.progress
-        run = self.run
-        progress.new(pid)
+        self.progress.new(pid)
 
         # Write FASTA files of queries and targets to a temp dir used in running Vmatch. Do not
         # allow the Vmatch driver to automatically remove the dir, as the FASTA file of Nq is used
@@ -3664,14 +3754,18 @@ def find_indels(self):
         fasta_path_Nqf = os.path.join(temp_dir_path, 'Nqf.fa')
 
         # Write a FASTA file of Nb.
-        progress.update("Writing FASTA of norm tRNA seqs with mod-induced subs")
+        self.progress.update_pid(pid)
+        self.progress.update("Writing FASTA of norm tRNA seqs with mod-induced subs")
         count_Nb, max_length_M = self.write_fasta_Nb(fasta_path_Nb)
 
         # Write a FASTA file of Nqf.
-        progress.update("Writing FASTA of norm tRNA seqs without mod-induced subs")
+        self.progress.update_pid(pid)
+        self.progress.update("Writing FASTA of norm tRNA seqs without mod-induced subs")
         count_Nqf, max_length_Nqf = self.write_fasta_Nqf(fasta_path_Nqf)
 
         # Search Nqf against Nb.
+        self.progress.update_pid(pid)
+        self.progress.update("Searching for norm tRNA seqs within mod tRNA seqs")
         match_df = Vmatch(argparse.Namespace(match_mode='query_substring_with_indels',
                                              fasta_db_file=fasta_path_Nb,
                                              fasta_query_file=fasta_path_Nqf,
@@ -3690,17 +3784,19 @@ def find_indels(self):
         results_dict = {}
         # The following method updates `results_dict`.
         count_Nqf_with_indels = self.process_Nq_with_indels(match_df, self.dict_Nf, results_dict, False)
-        progress.end()
-        run.info_single("Completed indel search stage 1/4: norm tRNA seqs within mod tRNA seqs", nl_before=2)
+        self.progress.end()
+        self.run.info_single("Completed indel search Stage 1/4: norm tRNA seqs within mod tRNA seqs", nl_before=2 if self.write_checkpoints else 0)
 
 
         # Search Nb against Nqf.
-        progress.new(pid)
+        self.progress.new(pid)
         if count_Nqf_with_indels:
             # Indels were found in some Nqf, so rewrite the FASTA file of Nqf to exclude these.
-            progress.update("Writing FASTA of norm tRNA seqs without known mod-induced mutations")
+            self.progress.update("Writing FASTA of norm tRNA seqs without known mod-induced mutations")
             count_Nqf, max_length_Nqf = self.write_fasta_Nqf(fasta_path_Nqf)
 
+        self.progress.update_pid(pid)
+        self.progress.update("Searching for mod tRNA seqs within norm tRNA seqs")
         match_df = Vmatch(argparse.Namespace(match_mode='query_substring_with_indels',
                                              fasta_db_file=fasta_path_Nqf,
                                              fasta_query_file=fasta_path_Nb,
@@ -3717,17 +3813,19 @@ def find_indels(self):
         os.remove(parsed_output_path)
 
         count_Nqf_with_indels += self.process_Nq_with_indels(match_df, self.dict_Nf, results_dict, True)
-        progress.end()
-        run.info_single("Completed indel search stage 2/4: mod tRNA seqs within norm tRNA seqs")
+        self.progress.end()
+        self.run.info_single("Completed indel search Stage 2/4: mod tRNA seqs within norm tRNA seqs")
 
 
         # Write a FASTA file of Nc.
-        progress.new(pid)
-        progress.update("Writing FASTA of norm trunc seqs")
+        self.progress.new(pid)
+        self.progress.update("Writing FASTA of norm trunc seqs")
         fasta_path_Nc = os.path.join(temp_dir_path, 'Nc.fa')
         count_Nc, max_length_Nc = self.write_fasta_Nc(fasta_path_Nc)
 
         # Search Nc against Nb.
+        self.progress.update_pid(pid)
+        self.progress.update("Searching for trunc tRNA seqs within mod tRNA seqs")
         match_df = Vmatch(argparse.Namespace(match_mode='query_substring_with_indels',
                                              fasta_db_file=fasta_path_Nb,
                                              fasta_query_file=fasta_path_Nc,
@@ -3744,17 +3842,19 @@ def find_indels(self):
         os.remove(parsed_output_path)
 
         count_Nc_with_indels = self.process_Nq_with_indels(match_df, self.dict_Nc, results_dict, False)
-        progress.end()
-        run.info_single("Completed indel search stage 3/4: trunc tRNA seqs within mod tRNA seqs")
+        self.progress.end()
+        self.run.info_single("Completed indel search Stage 3/4: trunc tRNA seqs within mod tRNA seqs")
 
 
         # Search Nb against Nc.
-        progress.new(pid)
+        self.progress.new(pid)
         if count_Nc_with_indels:
             # Indels were found in some Nc, so rewrite the FASTA file of Nc to exclude these.
-            progress.update("Writing FASTA of norm trunc seqs without known mod-induced mutations")
+            self.progress.update("Writing FASTA of norm trunc seqs without known mod-induced mutations")
             count_Nc, max_length_Nc = self.write_fasta_Nc(fasta_path_Nc)
 
+        self.progress.update_pid(pid)
+        self.progress.update("Searching for mod tRNA seqs within trunc tRNA seqs")
         match_df = Vmatch(argparse.Namespace(match_mode='query_substring_with_indels',
                                              fasta_db_file=fasta_path_Nc,
                                              fasta_query_file=fasta_path_Nb,
@@ -3771,15 +3871,15 @@ def find_indels(self):
         os.remove(parsed_output_path)
 
         count_Nc_with_indels += self.process_Nq_with_indels(match_df, self.dict_Nc, results_dict, True)
-        progress.end()
-        run.info_single("Completed indel search stage 4/4: mod tRNA seqs within trunc tRNA seqs")
+        self.progress.end()
+        self.run.info_single("Completed indel search Stage 4/4: mod tRNA seqs within trunc tRNA seqs")
 
 
         # Consolidate Nq differing by 5' and 3' extensions into a new Ni object.
-        progress.new(pid)
-        progress.update("Finalizing norm seqs with indels")
+        self.progress.new(pid)
+        self.progress.update("Finalizing norm seqs with indels")
         self.add_Ni_to_M(results_dict)
-        progress.end()
+        self.progress.end()
 
         trnaseq_db = dbops.TRNASeqDatabase(self.trnaseq_db_path, quiet=True)
         set_meta_value = trnaseq_db.db.set_meta_value
@@ -4371,11 +4471,8 @@ def check_normalized_indel_sequence_for_anticodon(self, seq_M, start_Ni_in_M):
     def report_M_stats(self):
         """Report to terminal stats on M. Stats on subs were already reported."""
         spec_read_count_M = 0
-        nonspec_read_count_M = 0
         spec_short_5prime_read_count_M = 0
         spec_long_5prime_read_count_M = 0
-        nonspec_short_5prime_read_count_M = 0
-        nonspec_long_5prime_read_count_M = 0
         mean_spec_cov_M = 0
         mean_nonspec_cov_M = 0
         total_length_M = 0
@@ -4384,7 +4481,6 @@ def report_M_stats(self):
         max_total_cov_M = 0
         for seq_M in self.dict_M.values():
             spec_read_count_M += seq_M.spec_read_count
-            nonspec_read_count_M += seq_M.nonspec_read_count
             if seq_M.spec_read_xtra_5prime_count:
                 if seq_M.spec_long_5prime_extension_dict:
                     spec_long_5prime_read_count = sum(seq_M.spec_long_5prime_extension_dict.values())
@@ -4395,10 +4491,6 @@ def report_M_stats(self):
             if seq_M.nonspec_read_xtra_5prime_count:
                 if seq_M.nonspec_long_5prime_extension_dict:
                     nonspec_long_5prime_read_count = sum(seq_M.nonspec_long_5prime_extension_dict.values())
-                    nonspec_long_5prime_read_count_M += nonspec_long_5prime_read_count
-                    nonspec_short_5prime_read_count_M += seq_M.nonspec_read_xtra_5prime_count - nonspec_long_5prime_read_count
-                else:
-                    nonspec_short_5prime_read_count_M += seq_M.nonspec_read_xtra_5prime_count
             length_M = len(seq_M.consensus_string)
             mean_spec_cov = seq_M.mean_spec_cov
             mean_nonspec_cov = seq_M.mean_nonspec_cov
@@ -4426,35 +4518,34 @@ def report_M_stats(self):
                 if seq_M.insert_starts or seq_M.del_starts:
                     count_indel_M += 1
 
-        run = self.run
-        run.info_single("Final results of modification analysis", nl_before=2, nl_after=1)
-
-        run.info_single("Modified seqs")
-        run.info("Specific reads", spec_read_count_M)
-        run.info("Nonspecific reads", nonspec_read_count_M)
-        run.info(f"Specific reads with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_read_count_M)
-        run.info(f"Specific reads with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_read_count_M)
-        run.info(f"Nonspecific reads with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_short_5prime_read_count_M)
-        run.info(f"Nonspecific reads with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", nonspec_long_5prime_read_count_M)
-        run.info("Mean specific coverage", round(mean_spec_cov_M, 2))
-        run.info("Mean nonspecific coverage", round(mean_nonspec_cov_M, 2))
-        run.info("Max specific coverage", round(max_spec_cov_M, 2))
-        run.info("Max nonspecific coverage", round(max_nonspec_cov_M, 2))
-        run.info("Max total coverage", round(max_total_cov_M, 2), nl_after=0 if self.skip_indel_profiling else 1)
+        warning = self.run.warning
+        info = self.run.info
+
+        warning(None, "MODIFICATION ANALYSIS RESULTS", lc='green', nl_before=1)
+
+        warning(None, "Modified seqs", lc='cyan')
+        info("Specific reads", spec_read_count_M)
+        info(f"Specific reads with 1-{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_short_5prime_read_count_M)
+        info(f"Specific reads with ≥{MIN_LENGTH_LONG_5PRIME_EXTENSION} extra 5' nts", spec_long_5prime_read_count_M)
+        info("Mean specific coverage", round(mean_spec_cov_M, 2))
+        info("Mean nonspecific coverage", round(mean_nonspec_cov_M, 2))
+        info("Max specific coverage", round(max_spec_cov_M, 2))
+        info("Max nonspecific coverage", round(max_nonspec_cov_M, 2))
+        info("Max total coverage", round(max_total_cov_M, 2), nl_after=2 if self.skip_indel_profiling else 0)
 
         if not self.skip_indel_profiling:
-            run.info_single("Results of indel search")
-            run.info("Modified seqs with indels", count_indel_M)
-            run.info("Modified seqs with insertions", count_insert_M)
-            run.info("Modified seqs with deletions", count_del_M)
+            warning(None, "Results of indel search", lc='cyan')
+            info("Modified seqs with indels", count_indel_M)
+            info("Modified seqs with insertions", count_insert_M)
+            info("Modified seqs with deletions", count_del_M)
 
             trnaseq_db = dbops.TRNASeqDatabase(self.trnaseq_db_path, quiet=True)
             get_meta_value = trnaseq_db.db.get_meta_value
             count_Nqf_with_indels = get_meta_value('count_Nqf_with_indels')
             count_Nc_with_indels = get_meta_value('count_Nc_with_indels')
             trnaseq_db.disconnect()
-            run.info("Normalized tRNA seqs found to have indels", count_Nqf_with_indels)
-            run.info("Normalized trunc seqs found to have indels", count_Nc_with_indels, nl_after=2)
+            info("Normalized tRNA seqs found to have indels", count_Nqf_with_indels)
+            info("Normalized trunc seqs found to have indels", count_Nc_with_indels, nl_after=2)
 
 
     def report_stats(self):
@@ -4469,7 +4560,7 @@ def report_stats(self):
             if seq_Tf.contains_anticodon:
                 anticodon_profiled_trna_reads += seq_Tf.read_count
                 if seq_Tf.has_complete_feature_set:
-                    complete_profiled_trna_reads += seq_Tf.has_complete_feature_set
+                    complete_profiled_trna_reads += seq_Tf.read_count
             if len(seq_Tf.names_N) == 1:
                 spec_reads_Ntrna += seq_Tf.read_count
             else:
@@ -4539,7 +4630,6 @@ def write_feature_table(self):
         self.progress.update("...")
 
         rows = []
-        TRNA_FEATURE_NAMES = self.TRNA_FEATURE_NAMES
         for dict_name, dict_U in zip(('dict_Uf', 'dict_Us', 'dict_Uc_trna'),
                                      (self.dict_Uf, self.dict_Us, self.dict_Uc_trna)):
             for seq_U in dict_U.values():
@@ -4926,53 +5016,64 @@ class to allow multiprocessing."""
         output_queue.put((profiler.profile(seq_string, name=represent_name), read_count))
 
 
-class NormalizedSeqSummary(object):
-    """Relevant data from normalized sequences stored in anvi'o tRNA-seq databases are reloaded into
-    these objects."""
+class NormalizedSequenceSummary(object):
+    """Relevant data from a normalized sequence stored in a tRNA-seq database is reloaded into this
+    object."""
 
     __slots__ = (
         'name',
         'sample_id',
-        'seq_string',
-        'threshold_feature_start',
-        'anticodon_seq_string',
+        'string',
+        'anticodon_string',
+        'feature_dict',
         'feature_threshold_start',
-        'mean_specific_cov',
-        'specific_covs',
-        'nonspecific_covs',
-        'specific_nt_covs_dict',
-        'nonspecific_nt_covs_dict',
-        'mod_seq_summary'
+        'mean_spec_cov',
+        'spec_covs',
+        'nonspec_covs',
+        'spec_nt_covs_dict',
+        'nonspec_nt_covs_dict',
+        'summary_M'
     )
 
     def __init__(self):
-        self.name = None
-        self.sample_id = None
-        self.seq_string = None
-        self.threshold_feature_start = None
-        self.anticodon_seq_string = None
-        self.feature_threshold_start = None
-        self.mean_specific_cov = None
-        self.specific_covs = None
-        self.nonspecific_covs = None
-        self.specific_nt_covs_dict = None
-        self.nonspecific_nt_covs_dict = None
-        self.mod_seq_summary = None
-
-
-class ModifiedSeqSummary(object):
-    """Relevant data from modified sequences stored in anvi'o tRNA-seq databases are reloaded into
-    these objects."""
+        for attr_name in NormalizedSequenceSummary.__slots__:
+            setattr(self, attr_name, None)
+
+
+class NormalizedIndelSequenceSummary(NormalizedSequenceSummary):
+    """Relevant data from a normalized sequence with indels stored in a tRNA-seq database is
+    reloaded into this object."""
+
+    __slots__ = (
+        'insert_starts',
+        'insert_strings',
+        'spec_insert_covs',
+        'nonspec_insert_covs',
+        'del_starts',
+        'del_lengths',
+        'spec_del_covs',
+        'nonspec_del_covs'
+    )
+
+    def __init__(self):
+        super().__init__()
+        for attr_name in NormalizedIndelSequenceSummary.__slots__:
+            setattr(self, attr_name, None)
+
+
+class ModifiedSequenceSummary(object):
+    """Relevant data from a modified sequence stored in a tRNA-seq database is reloaded into this
+    object."""
 
     __slots__ = (
         'name',
         'sample_id',
-        'consensus_seq_string',
+        'consensus_string',
         'sub_positions',
-        'specific_nt_covs_dict',
-        'nonspecific_nt_covs_dict',
-        'specific_covs',
-        'nonspecific_covs',
+        'spec_nt_covs_dict',
+        'nonspec_nt_covs_dict',
+        'spec_covs',
+        'nonspec_covs',
         'insert_starts',
         'insert_strings',
         'spec_insert_covs',
@@ -4981,143 +5082,85 @@ class ModifiedSeqSummary(object):
         'del_lengths',
         'spec_del_covs',
         'nonspec_del_covs',
-        'norm_seq_summaries'
+        'summaries_Nb',
+        'summaries_Ni'
     )
 
     def __init__(self):
-        self.name = None
-        self.sample_id = None
-        self.consensus_seq_string = None
-        self.sub_positions = None
-        self.specific_nt_covs_dict = None
-        self.nonspecific_nt_covs_dict = None
-        self.specific_covs = None
-        self.nonspecific_covs = None
-        self.insert_starts = None
-        self.insert_strings = None
-        self.spec_insert_covs = None
-        self.nonspec_insert_covs = None
-        self.del_starts = None
-        self.del_lengths = None
-        self.spec_del_covs = None
-        self.nonspec_del_covs = None
-        self.norm_seq_summaries = None
+        for attr_name in ModifiedSequenceSummary.__slots__:
+            setattr(self, attr_name, None)
 
 
-class SeedSeq(object):
+class SeedSequence(object):
 
     __slots__ = (
         'name',
-        'seq_string',
+        'string',
         'meets_feature_threshold',
-        'unmod_norm_seq_summaries',
-        'mod_seq_summaries',
-        'anticodon_seq_string',
-        'total_specific_covs',
-        'total_nonspecific_covs',
-        'total_mean_specific_cov',
-        'total_mean_nonspecific_cov',
-        'sample_specific_covs_dict',
-        'sample_nonspecific_covs_dict',
+        'summaries_Nu',
+        'summaries_M',
+        'anticodon_string',
+        'feature_dict',
+        'total_spec_covs',
+        'total_nonspec_covs',
+        'total_mean_spec_cov',
+        'total_mean_nonspec_cov',
+        'sample_spec_covs_dict',
+        'sample_nonspec_covs_dict',
         'sample_summed_covs_dict',
-        'sample_specific_nt_covs_dict',
-        'sample_nonspecific_nt_covs_dict',
+        'sample_spec_nt_covs_dict',
+        'sample_nonspec_nt_covs_dict',
         'sample_summed_nt_covs_dict',
-        'sample_mean_specific_cov_dict',
-        'sample_mean_nonspecific_cov_dict',
+        'sample_mean_spec_cov_dict',
+        'sample_mean_nonspec_cov_dict',
         'sample_mean_summed_cov_dict',
-        'sample_std_specific_cov_dict',
-        'sample_std_nonspecific_cov_dict',
+        'sample_std_spec_cov_dict',
+        'sample_std_nonspec_cov_dict',
         'sample_std_summed_cov_dict',
-        'sample_specific_abundances_dict',
-        'sample_nonspecific_abundances_dict',
-        'sample_summed_abundances_dict',
-        'sample_specific_relative_abundances_dict',
-        'sample_nonspecific_relative_abundances_dict',
-        'sample_summed_relative_abundances_dict',
-        'sample_specific_detection_dict',
-        'sample_nonspecific_detection_dict',
+        'sample_spec_abund_dict',
+        'sample_nonspec_abund_dict',
+        'sample_summed_abund_dict',
+        'sample_spec_rel_abund_dict',
+        'sample_nonspec_rel_abund_dict',
+        'sample_summed_rel_abund_dict',
+        'sample_spec_detection_dict',
+        'sample_nonspec_detection_dict',
         'sample_summed_detection_dict',
-        'sample_mean_Q2Q3_specific_cov_dict',
-        'sample_mean_Q2Q3_nonspecific_cov_dict',
+        'sample_mean_Q2Q3_spec_cov_dict',
+        'sample_mean_Q2Q3_nonspec_cov_dict',
         'sample_mean_Q2Q3_summed_cov_dict',
-        'sample_normalized_mean_Q2Q3_specific_cov_dict',
-        'sample_normalized_mean_Q2Q3_nonspecific_cov_dict',
+        'sample_normalized_mean_Q2Q3_spec_cov_dict',
+        'sample_normalized_mean_Q2Q3_nonspec_cov_dict',
         'sample_normalized_mean_Q2Q3_summed_cov_dict',
-        'sample_specific_max_normalized_ratio_dict',
-        'sample_nonspecific_max_normalized_ratio_dict',
+        'sample_spec_max_normalized_ratio_dict',
+        'sample_nonspec_max_normalized_ratio_dict',
         'sample_summed_max_normalized_ratio_dict',
         'gc_fraction',
         'sample_sub_positions_dict',
-        'total_mod_positions',
-        'sample_mod_positions_dict',
+        'total_sub_positions',
         'sample_variability_dict',
         'sample_insert_dict',
         'sample_del_dict'
     )
 
     def __init__(self):
-        self.name = None
-        self.seq_string = None
-        self.meets_feature_threshold = None
-        self.unmod_norm_seq_summaries = None
-        self.mod_seq_summaries = None
-        self.anticodon_seq_string = None
-        self.total_specific_covs = None
-        self.total_nonspecific_covs = None
-        self.total_mean_specific_cov = None
-        self.total_mean_nonspecific_cov = None
-        self.sample_specific_covs_dict = None
-        self.sample_nonspecific_covs_dict = None
-        self.sample_summed_covs_dict = None
-        self.sample_specific_nt_covs_dict = None
-        self.sample_nonspecific_nt_covs_dict = None
-        self.sample_summed_nt_covs_dict = None
-        self.sample_mean_specific_cov_dict = None
-        self.sample_mean_nonspecific_cov_dict = None
-        self.sample_mean_summed_cov_dict = None
-        self.sample_std_specific_cov_dict = None
-        self.sample_std_nonspecific_cov_dict = None
-        self.sample_std_summed_cov_dict = None
-        self.sample_specific_abundances_dict = None
-        self.sample_nonspecific_abundances_dict = None
-        self.sample_summed_abundances_dict = None
-        self.sample_specific_relative_abundances_dict = None
-        self.sample_nonspecific_relative_abundances_dict = None
-        self.sample_summed_relative_abundances_dict = None
-        self.sample_specific_detection_dict = None
-        self.sample_nonspecific_detection_dict = None
-        self.sample_summed_detection_dict = None
-        self.sample_mean_Q2Q3_specific_cov_dict = None
-        self.sample_mean_Q2Q3_nonspecific_cov_dict = None
-        self.sample_mean_Q2Q3_summed_cov_dict = None
-        self.sample_normalized_mean_Q2Q3_specific_cov_dict = None
-        self.sample_normalized_mean_Q2Q3_nonspecific_cov_dict = None
-        self.sample_normalized_mean_Q2Q3_summed_cov_dict = None
-        self.sample_specific_max_normalized_ratio_dict = None
-        self.sample_nonspecific_max_normalized_ratio_dict = None
-        self.sample_summed_max_normalized_ratio_dict = None
-        self.gc_fraction = None
-        self.sample_sub_positions_dict = None
-        self.total_mod_positions = None
-        self.sample_mod_positions_dict = None
-        self.sample_variability_dict = None
-        self.sample_insert_dict = None
-        self.sample_del_dict = None
-
-
-class DatabaseConverter(object):
-    """Converts tRNA-seq database(s) into contigs, auxiliary, and profile databases.
-
-    "Contigs" in this context are tRNA seed sequences representing tRNA identified in the collection
-    of samples.
-    """
+        for attr_name in SeedSequence.__slots__:
+            setattr(self, attr_name, None)
+
 
-    # The columns needed from tables of a tRNA-seq database.
+class DatabaseMerger(object):
+    """Merges tRNA-seq database(s) into contigs, auxiliary, and profile databases. "Contigs" in
+    this context are tRNA seed sequences representing tRNA identified in the samples."""
+
+    # The following constants are columns needed from tables of a tRNA-seq database.
+    # Load all feature positional indices but the 3' terminus start and stop indices.
+    FEATURE_INDEX_COLS_OF_INTEREST = list(chain(*zip([f + '_start' for f in TRNA_FEATURE_NAMES[: -1]],
+                                                     [f + '_stop' for f in TRNA_FEATURE_NAMES[: -1]]))) + ['alpha_start', 'alpha_stop', 'beta_start', 'beta_stop']
     FEATURE_TABLE_COLS_OF_INTEREST = [
         'name',
-        'anticodon_sequence'
-    ]
+        'anticodon_sequence',
+        'num_extra_fiveprime',
+    ] + FEATURE_INDEX_COLS_OF_INTEREST
     TRIMMED_TABLE_COLS_OF_INTEREST = [
         'name',
         'sequence'
@@ -5156,7 +5199,6 @@ class DatabaseConverter(object):
     ]
 
     def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
-        self.args = args
         self.run = run
         self.progress = progress
 
@@ -5169,14 +5211,14 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
 
         # Argument group B: EXTRAS
         self.num_threads = A('num_threads')
-        self.seed_seq_limit = A('max_reported_trna_seeds')
+        self.seed_limit = A('max_reported_trna_seeds')
         self.overwrite_out_dest = A('overwrite_output_destinations')
         self.descrip_path = os.path.abspath(A('description')) if A('description') else None
 
         # Argument group C: ADVANCED
         self.feature_threshold = A('feature_threshold')
         self.preferred_treatment = A('preferred_treatment')
-        self.nonspecific_output = A('nonspecific_output')
+        self.nonspec_output = A('nonspecific_output')
         self.min_variation = A('min_variation')
         self.min_third_fourth_nt = A('min_third_fourth_nt')
         self.min_indel_fraction = A('min_indel_fraction')
@@ -5184,21 +5226,20 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
         self.linkage = A('linkage') or constants.linkage_method_default
 
         if not self.project_name:
-            raise ConfigError("Please specify a name for the collection of input tRNA-seq dbs "
-                              "using --project-name or -n.")
+            raise ConfigError("Please specify a name for the collection of input tRNA-seq dbs using --project-name or -n.")
         if not self.out_dir:
             raise ConfigError("Please provide an output directory using --output-dir or -o.")
 
         self.contigs_db_path = None
         self.contigs_db_hash = None
 
-        self.specific_out_dir = None
-        self.specific_profile_db_path = None
-        self.specific_auxiliary_db_path = None
+        self.spec_out_dir = None
+        self.spec_profile_db_path = None
+        self.spec_auxiliary_db_path = None
 
-        self.nonspecific_out_dir = None
-        self.nonspecific_profile_db_path = None
-        self.nonspecific_auxiliary_db_path = None
+        self.nonspec_out_dir = None
+        self.nonspec_profile_db_path = None
+        self.nonspec_auxiliary_db_path = None
         self.summed_out_dir = None
         self.summed_profile_db_path = None
         self.summed_auxiliary_db_path = None
@@ -5214,26 +5255,29 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
         self.trnaseq_dbs_info_dict = OrderedDict()
         self.num_trnaseq_dbs = None
         self.trnaseq_db_sample_ids = None
-        self.unmod_norm_seq_summaries_dict = OrderedDict()
-        self.mod_seq_summaries_dict = OrderedDict()
+        self.dict_summaries_Nu = defaultdict(list)
+        self.dict_summaries_M = defaultdict(list)
 
-        self.seed_seqs = None
+        self.sample_total_mean_spec_cov_dict = None
+        self.sample_total_discriminator_spec_cov_dict = None
+
+        self.seeds = None
         self.total_seed_length = None
 
-        self.sample_total_specific_cov_dict = None
-        self.sample_total_nonspecific_cov_dict = None
+        self.sample_total_spec_cov_dict = None
+        self.sample_total_nonspec_cov_dict = None
         self.sample_total_summed_cov_dict = None
-        self.sample_overall_mean_specific_cov_dict = None
-        self.sample_mean_nonspecific_cov_dict = None
+        self.sample_overall_mean_spec_cov_dict = None
+        self.sample_mean_nonspec_cov_dict = None
         self.sample_mean_summed_cov_dict = None
         self.sample_normalization_multiplier_dict = None
 
-        self.overall_mean_specific_cov = None
-        self.overall_mean_nonspecific_cov = None
+        self.overall_mean_spec_cov = None
+        self.overall_mean_nonspec_cov = None
 
         self.variable_nts_table_entries = None
-        self.specific_indels_table_entries = None
-        self.nonspecific_indels_table_entries = None
+        self.spec_indels_table_entries = None
+        self.nonspec_indels_table_entries = None
         self.summed_indels_table_entries = None
 
 
@@ -5246,71 +5290,69 @@ def process(self):
 
         self.form_seeds()
 
-        filesnpaths.gen_output_directory(self.specific_out_dir)
-        self.gen_contigs_db()
-        self.gen_auxiliary_db('specific')
+        filesnpaths.gen_output_directory(self.spec_out_dir)
+        self.generate_contigs_database()
+        self.generate_auxiliary_database('specific')
 
-        self.set_sample_total_covs()
-        self.set_sample_overall_mean_covs()
-        self.set_sample_mean_covs()
-        self.set_sample_std_covs()
+        self.set_sample_total_coverages()
+        self.set_sample_overall_mean_coverages()
+        self.set_sample_mean_coverages()
+        self.set_sample_coverage_standard_deviations()
         self.set_sample_abundances()
         self.set_sample_normalization_multipliers()
         self.set_sample_normalized_mean_Q2Q3_coverages()
         self.set_sample_detections()
         self.set_sample_relative_abundances()
         self.set_sample_max_normalized_ratios()
-        self.set_variable_nts_table_entries()
+        self.set_variable_nucleotides_table_entries()
         self.set_indels_table_entries()
-        self.gen_profile_db('specific')
+        self.generate_profile_database('specific')
 
-        if self.nonspecific_out_dir:
-            filesnpaths.gen_output_directory(self.nonspecific_out_dir, delete_if_exists=self.overwrite_out_dest)
-            self.gen_auxiliary_db('nonspecific')
-            self.gen_profile_db('nonspecific')
+        if self.nonspec_out_dir:
+            filesnpaths.gen_output_directory(self.nonspec_out_dir, delete_if_exists=self.overwrite_out_dest)
+            self.generate_auxiliary_database('nonspecific')
+            self.generate_profile_database('nonspecific')
         if self.combined_out_dir:
             filesnpaths.gen_output_directory(self.combined_out_dir, delete_if_exists=self.overwrite_out_dest)
-            self.gen_auxiliary_db('combined')
-            self.gen_profile_db('combined')
+            self.generate_auxiliary_database('combined')
+            self.generate_profile_database('combined')
         if self.summed_out_dir:
             filesnpaths.gen_output_directory(self.summed_out_dir, delete_if_exists=self.overwrite_out_dest)
-            self.gen_auxiliary_db('summed')
-            self.gen_profile_db('summed')
+            self.generate_auxiliary_database('summed')
+            self.generate_profile_database('summed')
 
 
     def sanity_check(self):
-        """Check user inputs before proceeding."""
+        """Check `anvi-merge-trnaseq` arguments."""
         for trnaseq_db_path in self.trnaseq_db_paths:
             utils.is_trnaseq_db(trnaseq_db_path)
         self.populate_trnaseq_dbs_info_dict()
-        self.trnaseq_db_sample_ids = [inner_dict['sample_id'] for inner_dict in self.trnaseq_dbs_info_dict.values()]
+        self.trnaseq_db_sample_ids = [trnaseq_db_info_dict['sample_id'] for trnaseq_db_info_dict in self.trnaseq_dbs_info_dict.values()]
         if len(self.trnaseq_dbs_info_dict) != len(set(self.trnaseq_db_sample_ids)):
-            raise ConfigError("Sample IDs in each input tRNA-seq db must be unique. This is not "
-                              "the case with your input. Here are the sample names so you can see "
-                              "which ones occur more than once: '%s'" % (", ".join(self.trnaseq_db_sample_ids)))
+            raise ConfigError("Sample IDs in each input tRNA-seq db must be unique. "
+                              "This is not the case with your input. "
+                              "Here are the sample names so you can see which ones occur more than once: "
+                              f"'{', '.join(self.trnaseq_db_sample_ids)}'")
         self.num_trnaseq_dbs = len(self.trnaseq_db_sample_ids)
 
         self.check_trnaseq_db_versions()
 
-        self.out_dir = filesnpaths.check_output_directory(self.out_dir,
-                                                          ok_if_exists=self.overwrite_out_dest)
+        self.out_dir = filesnpaths.check_output_directory(self.out_dir, ok_if_exists=self.overwrite_out_dest)
         self.out_dir = os.path.abspath(self.out_dir)
 
         self.contigs_db_path = os.path.join(self.out_dir, 'CONTIGS.db')
         self.contigs_db_hash = 'hash' + str('%08x' % random.randrange(16**8))
 
-        self.specific_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'SPECIFIC_COVERAGE'),
-                                                                   ok_if_exists=self.overwrite_out_dest)
-        self.specific_profile_db_path = os.path.join(self.specific_out_dir, 'PROFILE.db')
-        self.specific_auxiliary_db_path = os.path.join(self.specific_out_dir, 'AUXILIARY-DATA.db')
+        self.spec_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'SPECIFIC_COVERAGE'), ok_if_exists=self.overwrite_out_dest)
+        self.spec_profile_db_path = os.path.join(self.spec_out_dir, 'PROFILE.db')
+        self.spec_auxiliary_db_path = os.path.join(self.spec_out_dir, 'AUXILIARY-DATA.db')
 
-        if not 1 <= self.num_threads <= mp.cpu_count():
-            raise ConfigError("The number of threads to use must be a positive integer less than or equal to %d. "
-                              "Try again!" % mp.cpu_count())
+        if not 1 <= self.num_threads <= multiprocessing.cpu_count():
+            raise ConfigError(f"The number of threads to use must be a positive integer less than or equal to {multiprocessing.cpu_count()}. Try again!")
 
         self.set_treatment_preference()
 
-        self.set_nonspecific_db_info()
+        self.set_nonspecific_database_info()
 
         utils.check_sample_id(self.project_name)
 
@@ -5319,18 +5361,17 @@ def sanity_check(self):
             self.descrip_path = os.path.abspath(self.descrip_path)
             self.descrip = open(self.descrip_path).read()
 
-        if self.seed_seq_limit == -1:
-            self.seed_seq_limit = MAXSIZE
-        elif self.seed_seq_limit < 1:
-            raise ConfigError(f"{self.seed_seq_limit} is an invalid value for `--max-reported-seed-seqs`. "
-                              "To remove the limit on tRNA seeds reported to the contigs db, "
-                              "provide a value of -1. Otherwise provide an integer greater than 0.")
+        if self.seed_limit == -1:
+            self.seed_limit = MAXSIZE
+        elif self.seed_limit < 1:
+            raise ConfigError(f"{self.seed_limit} is an invalid value for `--max-reported-seed-seqs`. "
+                              "To remove the limit on tRNA seeds reported to the contigs db, provide a value of -1. "
+                              "Otherwise provide an integer greater than 0.")
 
         self.run.info("Input tRNA-seq dbs", ", ".join(self.trnaseq_db_paths))
         if self.preferred_treatment:
             self.run.info("Databases preferred for seed formation",
-                          ", ".join([trnaseq_db_path for trnaseq_db_num, trnaseq_db_path
-                                     in enumerate(self.trnaseq_db_paths)
+                          ", ".join([trnaseq_db_path for trnaseq_db_num, trnaseq_db_path in enumerate(self.trnaseq_db_paths)
                                      if trnaseq_db_num in self.preferred_trnaseq_db_nums]))
         self.run.info("Output directory", self.out_dir)
 
@@ -5343,13 +5384,13 @@ def populate_trnaseq_dbs_info_dict(self):
 
 
     def check_trnaseq_db_versions(self):
-        if len(set([inner_dict['version'] for inner_dict in self.trnaseq_dbs_info_dict.values()])) > 1:
-            trnaseq_db_version_report = "\n".join([trnaseq_db_path + " : " + inner_dict['version']
-                                                   for trnaseq_db_path, inner_dict in self.trnaseq_dbs_info_dict.items()])
+        if len(set([trnaseq_db_info_dict['version'] for trnaseq_db_info_dict in self.trnaseq_dbs_info_dict.values()])) > 1:
+            trnaseq_db_version_report = "\n".join(
+                [trnaseq_db_path + " : " + trnaseq_db_info_dict['version']
+                 for trnaseq_db_path, trnaseq_db_info_dict in self.trnaseq_dbs_info_dict.items()])
             if anvio.FORCE:
-                self.run.warning("Not all input tRNA-seq dbs have the same version number, "
-                                 "but since you have used the `--force` flag, `anvi-convert-trnaseq-database` "
-                                 "will proceed though this is dangerous and may lead to errors. "
+                self.run.warning("Not all input tRNA-seq dbs have the same version number, but since you have used the `--force` flag, "
+                                 "`anvi-merge-trnaseq` will proceed though this is dangerous and may lead to errors. "
                                  f"Here is the version number of each database:\n{trnaseq_db_version_report}")
             else:
                 raise ConfigError("Not all input tRNA-seq dbs have the same version number. "
@@ -5360,70 +5401,112 @@ def set_treatment_preference(self):
         if not self.preferred_treatment:
             return
 
-        input_treatments = [inner_dict['treatment'] for inner_dict in self.trnaseq_dbs_info_dict.values()]
+        input_treatments = [trnaseq_db_info_dict['treatment'] for trnaseq_db_info_dict in self.trnaseq_dbs_info_dict.values()]
         self.preferred_trnaseq_db_sample_ids = []
         self.preferred_trnaseq_db_nums = []
         if self.preferred_treatment not in input_treatments:
-            raise ConfigError("You provided a preferred treatment type, %s, "
+            raise ConfigError(f"You provided a preferred treatment type, {self.preferred_treatment}, "
                               "but it was not found in any of the input dbs, "
-                              "which were found to have the following treatments: %s."
-                              % (self.preferred_treatment, ', '.join(input_treatments)))
+                              f"which were found to have the following treatments: {', '.join(input_treatments)}.")
         for trnaseq_db_num, treatment in enumerate(input_treatments):
             if self.preferred_treatment == treatment:
                 self.preferred_trnaseq_db_sample_ids.append(self.trnaseq_db_sample_ids[trnaseq_db_num])
                 self.preferred_trnaseq_db_nums.append(trnaseq_db_num)
 
 
-    def set_nonspecific_db_info(self):
-        self.nonspecific_db_types = self.nonspecific_output.split(',')
-        for nonspecific_db_type in self.nonspecific_db_types:
-            if nonspecific_db_type not in ['nonspecific_db', 'combined_db', 'summed_db']:
+    def set_nonspecific_database_info(self):
+        self.nonspec_db_types = self.nonspec_output.split(',')
+        for nonspec_db_type in self.nonspec_db_types:
+            if nonspec_db_type not in ['nonspecific_db', 'combined_db', 'summed_db']:
                 raise ConfigError("The nonspecific profile db types provided by `--nonspecific-output` are not recognized. "
-                                  "The db types must be comma separated without spaces, "
-                                  f"e.g., 'nonspecific_db,combined_db,summed_db'. Your argument was: {self.nonspecific_output}'")
-
-        if 'nonspecific_db' in self.nonspecific_db_types:
-            self.nonspecific_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'NONSPECIFIC_COVERAGE'),
-                                                                          ok_if_exists=self.overwrite_out_dest)
-            self.nonspecific_profile_db_path = os.path.join(self.nonspecific_out_dir, 'PROFILE.db')
-            self.nonspecific_auxiliary_db_path = os.path.join(self.nonspecific_out_dir, 'AUXILIARY-DATA.db')
-
-        if 'combined_db' in self.nonspecific_db_types:
-            self.combined_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'COMBINED_COVERAGE'),
-                                                                       ok_if_exists=self.overwrite_out_dest)
+                                  "The db types must be comma separated without spaces, e.g., 'nonspecific_db,combined_db,summed_db'. "
+                                  f"Your argument was: {self.nonspec_output}'")
+
+        if 'nonspecific_db' in self.nonspec_db_types:
+            self.nonspec_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'NONSPECIFIC_COVERAGE'), ok_if_exists=self.overwrite_out_dest)
+            self.nonspec_profile_db_path = os.path.join(self.nonspec_out_dir, 'PROFILE.db')
+            self.nonspec_auxiliary_db_path = os.path.join(self.nonspec_out_dir, 'AUXILIARY-DATA.db')
+
+        if 'combined_db' in self.nonspec_db_types:
+            self.combined_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'COMBINED_COVERAGE'), ok_if_exists=self.overwrite_out_dest)
             self.combined_profile_db_path = os.path.join(self.combined_out_dir, 'PROFILE.db')
             self.combined_auxiliary_db_path = os.path.join(self.combined_out_dir, 'AUXILIARY-DATA.db')
 
-        if 'summed_db' in self.nonspecific_db_types:
-            self.summed_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'SUMMED_COVERAGE'),
-                                                                     ok_if_exists=self.overwrite_out_dest)
+        if 'summed_db' in self.nonspec_db_types:
+            self.summed_out_dir = filesnpaths.check_output_directory(os.path.join(self.out_dir, 'SUMMED_COVERAGE'), ok_if_exists=self.overwrite_out_dest)
             self.summed_profile_db_path = os.path.join(self.summed_out_dir, 'PROFILE.db')
             self.summed_auxiliary_db_path = os.path.join(self.summed_out_dir, 'AUXILIARY-DATA.db')
 
 
     def load_trnaseq_dbs(self):
+        """Load information from input tRNA-seq databases."""
         loaded_db_count = 0
-        num_trnaseq_db_paths = len(self.trnaseq_db_paths)
-        self.progress.new("Loading seq info from tRNA-seq dbs")
+        trnaseq_db_paths = self.trnaseq_db_paths
+        num_trnaseq_db_paths = len(trnaseq_db_paths)
+        pid = "Loading seq info from tRNA-seq dbs"
+        self.progress.new(pid)
         self.progress.update(f"{loaded_db_count}/{num_trnaseq_db_paths} dbs loaded")
 
-        manager = mp.Manager()
+        manager = multiprocessing.Manager()
         input_queue = manager.Queue()
-        output_queue = manager.Queue()
-        processes = [mp.Process(target=trnaseq_db_loader, args=(input_queue, output_queue, self))
+        output_queue_Nu_summaries = manager.Queue()
+        output_queue_M_summaries = manager.Queue()
+        processes = [multiprocessing.Process(target=trnaseq_db_loader,
+                                args=(input_queue, output_queue_Nu_summaries, output_queue_M_summaries, self))
                      for _ in range(self.num_threads)]
         for p in processes:
             p.start()
 
-        for trnaseq_db_path in self.trnaseq_db_paths:
+        for trnaseq_db_path in trnaseq_db_paths:
             input_queue.put(trnaseq_db_path)
 
-        while loaded_db_count < len(self.trnaseq_db_paths):
-            trnaseq_db_path, unmod_norm_seq_summaries, mod_seq_summaries = output_queue.get()
-            self.unmod_norm_seq_summaries_dict[trnaseq_db_path] = unmod_norm_seq_summaries
-            self.mod_seq_summaries_dict[trnaseq_db_path] = mod_seq_summaries
-            loaded_db_count += 1
-            self.progress.update(f"{loaded_db_count}/{num_trnaseq_db_paths} dbs loaded")
+        poison_pill_count = 0
+        dict_summaries_Nu = self.dict_summaries_Nu
+        dict_summaries_M = self.dict_summaries_M
+        empty = queue.Empty
+        db_completion_dict = {}
+        while poison_pill_count < len(trnaseq_db_paths) * 2:
+            # For each input db, one poison pill is put at the end of the Nu queue and another at
+            # the end of the M queue.
+            try:
+                summary_item = output_queue_Nu_summaries.get_nowait()
+                try:
+                    trnaseq_db_path, summary_Nu = summary_item
+                    dict_summaries_Nu[trnaseq_db_path].append(summary_Nu)
+                except ValueError:
+                    # The poison pill indicates there are no more Nu to be retrieved.
+                    trnaseq_db_path = summary_item
+                    poison_pill_count += 1
+                    try:
+                        # The poison pill was already returned in the db's M queue, so all Nu and M
+                        # have been retrieved, and the db has been fully processed.
+                        db_completion_dict[trnaseq_db_path] += 1
+                        loaded_db_count += 1
+                        self.progress.update_pid(pid)
+                        self.progress.update(f"{loaded_db_count}/{num_trnaseq_db_paths} dbs loaded")
+                    except KeyError:
+                        # The poison pill has not been returned in the db's M queue.
+                        db_completion_dict[trnaseq_db_path] = 1
+            except empty:
+                pass # waiting on items in the Nu queue
+
+            try:
+                summary_item = output_queue_M_summaries.get_nowait()
+                try:
+                    trnaseq_db_path, summary_M = summary_item
+                    dict_summaries_M[trnaseq_db_path].append(summary_M)
+                except ValueError:
+                    trnaseq_db_path = summary_item
+                    poison_pill_count += 1
+                    try:
+                        db_completion_dict[trnaseq_db_path] += 1
+                        loaded_db_count += 1
+                        self.progress.update_pid(pid)
+                        self.progress.update(f"{loaded_db_count}/{num_trnaseq_db_paths} dbs loaded")
+                    except KeyError:
+                        db_completion_dict[trnaseq_db_path] = 1
+            except empty:
+                pass # waiting on items in the M queue
 
         for p in processes:
             p.terminate()
@@ -5432,7 +5515,7 @@ def load_trnaseq_dbs(self):
         self.progress.end()
 
 
-    def load_trnaseq_db_seq_info(self, trnaseq_db_path):
+    def load_trnaseq_database_sequence_summaries(self, trnaseq_db_path):
         """Load necessary tRNA sequence data from the input tRNA-seq database.
 
         Unmodified normalized sequences and "modified" sequences, comprising clustered normalized
@@ -5443,707 +5526,925 @@ def load_trnaseq_db_seq_info(self, trnaseq_db_path):
 
         trnaseq_db = dbops.TRNASeqDatabase(trnaseq_db_path)
 
-        norm_seq_summary_dict = {} # Used to link normalized to modified sequence summaries
-
-        # Store normalized sequence strings and feature information.
-        seq_string_and_feature_df = pd.DataFrame(
-            trnaseq_db.db.get_some_columns_from_table('feature', ', '.join(self.FEATURE_TABLE_COLS_OF_INTEREST + [self.feature_threshold + '_start'])),
-            columns=self.FEATURE_TABLE_COLS_OF_INTEREST + [self.feature_threshold + '_start']
-        ).set_index('name')
-
-        if 'stem' in self.feature_threshold:
-            # The starts of both strands of the stem are recorded, so pick the start of the 5' strand.
-            seq_string_and_feature_df[self.feature_threshold + '_start'] = [int(entry.split(',')[0]) if isinstance(entry, str) else entry for entry
-                                                                            in seq_string_and_feature_df[self.feature_threshold + '_start'].fillna(-1).tolist()]
-        else:
-            seq_string_and_feature_df[self.feature_threshold + '_start'] = seq_string_and_feature_df[self.feature_threshold + '_start'].fillna(-1)
-        seq_string_and_feature_df['anticodon_sequence'] = seq_string_and_feature_df['anticodon_sequence'].fillna('')
+        dict_N_summary = {} # Used to link N to M summaries
 
-        seq_string_and_feature_df = pd.merge(
+        # Load columns from the "normalized", "features", and "trimmed" tables.
+        df_N = pd.merge(
             pd.DataFrame(
-                trnaseq_db.db.get_some_columns_from_table('trimmed', ', '.join(self.TRIMMED_TABLE_COLS_OF_INTEREST)),
-                columns=self.TRIMMED_TABLE_COLS_OF_INTEREST
+                trnaseq_db.db.get_some_columns_from_table('normalized', ', '.join(self.NORM_TABLE_COLS_OF_INTEREST)),
+                columns=self.NORM_TABLE_COLS_OF_INTEREST
             ).set_index('name'),
-            seq_string_and_feature_df,
+            pd.merge(pd.DataFrame(
+                        trnaseq_db.db.get_some_columns_from_table('feature', ', '.join(self.FEATURE_TABLE_COLS_OF_INTEREST)),
+                        columns=self.FEATURE_TABLE_COLS_OF_INTEREST
+                     ).set_index('name'),
+                     pd.DataFrame(
+                        trnaseq_db.db.get_some_columns_from_table('trimmed', ', '.join(self.TRIMMED_TABLE_COLS_OF_INTEREST)),
+                        columns=self.TRIMMED_TABLE_COLS_OF_INTEREST
+                     ).set_index('name'),
+                     left_index=True,
+                     right_index=True),
             left_index=True,
             right_index=True)
 
-        for norm_seq_info in trnaseq_db.db.get_some_columns_from_table('normalized', ', '.join(self.NORM_TABLE_COLS_OF_INTEREST)):
-            (name,
-             id_info,
-             mean_specific_cov,
-             specific_covs_string,
-             nonspecific_covs_string) = norm_seq_info
-
-            if id_info == 'indel_aligned':
-                # Ignore normalized sequences with indels. The coverage of indels themselves
-                # is recorded in the parent modified sequence, but the contribution of these
-                # sequences to nucleotide coverage is ignored. Inclusion of these sequences would
-                # produce numerous complications (e.g., they don't have feature profiles).
+        FEATURE_INDEX_COLS_OF_INTEREST = self.FEATURE_INDEX_COLS_OF_INTEREST
+        threshold_feature = self.feature_threshold + '_start'
+        # The starts of both strands of the stem are recorded, so pick the start of the 5' strand.
+        is_threshold_feature_stem = True if 'stem' in threshold_feature else False
+        for info_N in df_N.itertuples():
+            if info_N.id_info == 'indel_aligned':
+                # Ignore Ni. The coverage of indels themselves is recorded in the parent M, but the
+                # contribution of Ni to nt coverage is ignored. Inclusion of Ni would produce
+                # numerous complications (e.g., they don't have feature profiles).
                 continue
 
-            norm_seq_summary = NormalizedSeqSummary()
-            norm_seq_summary.name = name
-            norm_seq_summary.sample_id = sample_id
-            norm_seq_summary.mean_specific_cov = mean_specific_cov
-            # There is always a trailing comma in the coverage strings.
-            norm_seq_summary.specific_covs = np.fromiter(map(int, specific_covs_string.split(',')[: -1]), int)
-            norm_seq_summary.nonspecific_covs = np.fromiter(map(int, nonspecific_covs_string.split(',')[: -1]), int)
-            (norm_seq_summary.seq_string,
-             norm_seq_summary.anticodon_seq_string,
-             norm_seq_summary.feature_threshold_start) = seq_string_and_feature_df.loc[norm_seq_summary.name, ['sequence', 'anticodon_sequence', self.feature_threshold + '_start']]
-
-            norm_seq_summary_dict[norm_seq_summary.name] = norm_seq_summary
-
-        mod_seq_summaries = []
-        for mod_seq_info in trnaseq_db.db.get_some_columns_from_table('modified', ', '.join(self.MOD_TABLE_COLS_OF_INTEREST)):
-            (name,
-             specific_covs,
-             nonspecific_covs,
-             names_of_norm_seqs_without_indels,
-             names_of_norm_seqs_with_indels,
-             sub_positions,
-             sub_A_specific_covs,
-             sub_C_specific_covs,
-             sub_G_specific_covs,
-             sub_T_specific_covs,
-             sub_A_nonspecific_covs,
-             sub_C_nonspecific_covs,
-             sub_G_nonspecific_covs,
-             sub_T_nonspecific_covs,
-             insert_starts,
-             insert_strings,
-             spec_insert_covs,
-             nonspec_insert_covs,
-             del_starts,
-             del_lengths,
-             spec_del_covs,
-             nonspec_del_covs,
-             consensus_seq_string) = mod_seq_info
-
-            mod_seq_summary = ModifiedSeqSummary()
-            mod_seq_summary.name = name
-            mod_seq_summary.sample_id = sample_id
-            # There is always a trailing comma in the substitution and deletion coverage and
-            # position strings.
-            mod_seq_summary.sub_positions = np.fromiter(map(int, sub_positions.split(',')[: -1]), int)
-            mod_seq_summary.consensus_seq_string = consensus_seq_string
-
-            # Make nucleotide variability arrays covering every position in the sequence. Start with
-            # arrays of overall specific/nonspecific coverage with nonzero values for the
-            # nucleotides found in the consensus sequence, and then correct the variable positions.
-            seq_length = len(consensus_seq_string)
-            specific_nt_covs_dict = {nt: np.zeros(seq_length, int) for nt in UNAMBIG_NTS}
-            nonspecific_nt_covs_dict = {nt: np.zeros(seq_length, int) for nt in UNAMBIG_NTS}
+            summary_N = NormalizedSequenceSummary()
+            summary_N.name = info_N.Index
+            summary_N.sample_id = sample_id
+            summary_N.mean_spec_cov = info_N.mean_specific_coverage
+            # There is a trailing comma in the coverage strings.
+            summary_N.spec_covs = np.fromiter(map(int, info_N.specific_coverages.split(',')[: -1]), int)
+            summary_N.nonspec_covs = np.fromiter(map(int, info_N.nonspecific_coverages.split(',')[: -1]), int)
+            summary_N.string = info_N.sequence
+            summary_N.anticodon_string = info_N.anticodon_sequence if info_N.anticodon_sequence else ''
+            length_N = len(summary_N.string)
+            summary_N.spec_nt_covs_dict = spec_nt_covs_dict = {nt: np.zeros(length_N, dtype=int) for nt in UNAMBIG_NTS}
+            summary_N.nonspec_nt_covs_dict = nonspec_nt_covs_dict = {nt: np.zeros(length_N, dtype=int) for nt in UNAMBIG_NTS}
+            for nt_pos, nt, spec_cov, nonspec_cov in zip(range(length_N), summary_N.string, summary_N.spec_covs, summary_N.nonspec_covs):
+                spec_nt_covs_dict[nt][nt_pos] += spec_cov
+                nonspec_nt_covs_dict[nt][nt_pos] += nonspec_cov
+
+            length_5prime = info_N.num_extra_fiveprime
+            summary_N.feature_dict = feature_dict = OrderedDict()
+            for feature_index_col in FEATURE_INDEX_COLS_OF_INTEREST: # `trna_his_position_0_start`, etc.
+                db_value = getattr(info_N, feature_index_col)
+                if isinstance(db_value, str):
+                    # The string contains the start indices of stem strands.
+                    if length_5prime:
+                        split_db_value = tuple(map(int, db_value.split(',')))
+                        feature_dict[feature_index_col] = (split_db_value[0] - length_5prime, split_db_value[1] - length_5prime)
+                    else:
+                        feature_dict[feature_index_col] = tuple(map(int, db_value.split(',')))
+                else:
+                    try:
+                        # N/A in numerical columns where the feature is not a stem load as `np.nan`.
+                        # Represent missing feature indices as an impossibly negative number.
+                        if np.isnan(db_value):
+                            feature_dict[feature_index_col] = -1000
+                        else:
+                            feature_dict[feature_index_col] = int(db_value) - length_5prime
+                    except TypeError:
+                        # N/A in string columns where the feature is a stem load as `None`.
+                        feature_dict[feature_index_col] = -1000
+
+            db_value = getattr(info_N, threshold_feature)
+            if is_threshold_feature_stem:
+                summary_N.feature_threshold_start = int(db_value.split(',')[0]) - length_5prime if isinstance(db_value, str) else -1000
+            else:
+                summary_N.feature_threshold_start = -1000 if np.isnan(db_value) else db_value - length_5prime
+
+            dict_N_summary[summary_N.name] = summary_N
+
+        summaries_M = []
+        for info_M in pd.DataFrame(
+            trnaseq_db.db.get_some_columns_from_table('modified', ', '.join(self.MOD_TABLE_COLS_OF_INTEREST)),
+            columns=self.MOD_TABLE_COLS_OF_INTEREST).set_index('name').itertuples():
+            summary_M = ModifiedSequenceSummary()
+            summary_M.name = info_M.Index
+            summary_M.sample_id = sample_id
+            # There is a trailing comma in the substitution and indel coverage and position strings.
+            summary_M.sub_positions = np.fromiter(map(int, info_M.substitution_positions.split(',')[: -1]), int)
+            summary_M.consensus_string = consensus_string = info_M.consensus_sequence
+
+            # Make nt variability arrays covering every position in the seq. Start with arrays of
+            # overall specific/nonspecific coverage with nonzero values for the nts found in the
+            # consensus seq, and then correct the variable positions.
+            seq_length = len(consensus_string)
+            summary_M.spec_nt_covs_dict = spec_nt_covs_dict = {nt: np.zeros(seq_length, int) for nt in UNAMBIG_NTS}
+            summary_M.nonspec_nt_covs_dict = nonspec_nt_covs_dict = {nt: np.zeros(seq_length, int) for nt in UNAMBIG_NTS}
             pos = 0
-            for nt, specific_cov, nonspecific_cov in zip(consensus_seq_string,
-                                                         specific_covs.split(',')[: -1],
-                                                         nonspecific_covs.split(',')[: -1]):
-                specific_nt_covs_dict[nt][pos] = specific_cov
-                nonspecific_nt_covs_dict[nt][pos] = nonspecific_cov
+            for nt, spec_cov, nonspec_cov in zip(consensus_string,
+                                                 info_M.specific_coverages.split(',')[: -1],
+                                                 info_M.nonspecific_coverages.split(',')[: -1]):
+                spec_nt_covs_dict[nt][pos] = spec_cov
+                nonspec_nt_covs_dict[nt][pos] = nonspec_cov
                 pos += 1
-            for (sub_pos,
-                 specific_A_cov,
-                 specific_C_cov,
-                 specific_G_cov,
-                 specific_T_cov,
-                 nonspecific_A_cov,
-                 nonspecific_C_cov,
-                 nonspecific_G_cov,
-                 nonspecific_T_cov) in zip(map(int, sub_positions.split(',')[: -1]),
-                                           map(int, sub_A_specific_covs.split(',')[: -1]),
-                                           map(int, sub_C_specific_covs.split(',')[: -1]),
-                                           map(int, sub_G_specific_covs.split(',')[: -1]),
-                                           map(int, sub_T_specific_covs.split(',')[: -1]),
-                                           map(int, sub_A_nonspecific_covs.split(',')[: -1]),
-                                           map(int, sub_C_nonspecific_covs.split(',')[: -1]),
-                                           map(int, sub_G_nonspecific_covs.split(',')[: -1]),
-                                           map(int, sub_T_nonspecific_covs.split(',')[: -1])):
-                     specific_nt_covs_dict['A'][sub_pos] = specific_A_cov
-                     specific_nt_covs_dict['C'][sub_pos] = specific_C_cov
-                     specific_nt_covs_dict['G'][sub_pos] = specific_G_cov
-                     specific_nt_covs_dict['T'][sub_pos] = specific_T_cov
-                     nonspecific_nt_covs_dict['A'][sub_pos] = nonspecific_A_cov
-                     nonspecific_nt_covs_dict['C'][sub_pos] = nonspecific_C_cov
-                     nonspecific_nt_covs_dict['G'][sub_pos] = nonspecific_G_cov
-                     nonspecific_nt_covs_dict['T'][sub_pos] = nonspecific_T_cov
-            mod_seq_summary.specific_nt_covs_dict = specific_nt_covs_dict
-            mod_seq_summary.nonspecific_nt_covs_dict = nonspecific_nt_covs_dict
-
-            if insert_starts == ',':
-                mod_seq_summary.insert_starts = []
-                mod_seq_summary.insert_strings = []
-                mod_seq_summary.spec_insert_covs = []
-                mod_seq_summary.nonspec_insert_covs = []
+            for nt in UNAMBIG_NTS:
+                sub_positions = summary_M.sub_positions
+                for sub_pos, spec_nt_cov, nonspec_nt_cov in zip(
+                    sub_positions,
+                    map(int, getattr(info_M, 'substitution_' + nt + '_specific_coverage').split(',')[: -1]),
+                    map(int, getattr(info_M, 'substitution_' + nt + '_nonspecific_coverage').split(',')[: -1])):
+                    spec_nt_covs_dict[nt][sub_pos] = spec_nt_cov
+                    nonspec_nt_covs_dict[nt][sub_pos] = nonspec_nt_cov
+
+            if info_M.insertion_starts == ',':
+                summary_M.insert_starts = np.zeros(0, dtype=int)
+                summary_M.insert_strings = []
+                summary_M.spec_insert_covs = np.zeros(0, dtype=int)
+                summary_M.nonspec_insert_covs = np.zeros(0, dtype=int)
             else:
-                mod_seq_summary.insert_starts = list(map(int, insert_starts.split(',')[: -1]))
-                mod_seq_summary.insert_strings = list(insert_strings.split(',')[: -1])
-                mod_seq_summary.spec_insert_covs = list(map(int, spec_insert_covs.split(',')[: -1]))
-                mod_seq_summary.nonspec_insert_covs = list(map(int, nonspec_insert_covs.split(',')[: -1]))
-            assert len(mod_seq_summary.insert_starts) == len(mod_seq_summary.insert_strings) == len(mod_seq_summary.spec_insert_covs) == len(mod_seq_summary.nonspec_insert_covs)
-
-            if del_starts == ',':
-                mod_seq_summary.del_starts = []
-                mod_seq_summary.del_lengths = []
-                mod_seq_summary.spec_del_covs = []
-                mod_seq_summary.nonspec_del_covs = []
+                summary_M.insert_starts = np.fromiter(map(int, info_M.insertion_starts.split(',')[: -1]), int)
+                summary_M.insert_strings = list(info_M.insertion_seqs.split(',')[: -1])
+                summary_M.spec_insert_covs = np.fromiter(map(int, info_M.insertion_specific_coverages.split(',')[: -1]), int)
+                summary_M.nonspec_insert_covs = np.fromiter(map(int, info_M.insertion_nonspecific_coverages.split(',')[: -1]), int)
+
+            if info_M.deletion_starts == ',':
+                summary_M.del_starts = np.zeros(0, dtype=int)
+                summary_M.del_lengths = []
+                summary_M.spec_del_covs = np.zeros(0, dtype=int)
+                summary_M.nonspec_del_covs = np.zeros(0, dtype=int)
             else:
-                mod_seq_summary.del_starts = list(map(int, del_starts.split(',')[: -1]))
-                mod_seq_summary.del_lengths = list(map(int, del_lengths.split(',')[: -1]))
-                mod_seq_summary.spec_del_covs = list(map(int, spec_del_covs.split(',')[: -1]))
-                mod_seq_summary.nonspec_del_covs = list(map(int, nonspec_del_covs.split(',')[: -1]))
-            assert len(mod_seq_summary.del_starts) == len(mod_seq_summary.del_lengths) == len(mod_seq_summary.spec_del_covs) == len(mod_seq_summary.nonspec_del_covs)
+                summary_M.del_starts = np.fromiter(map(int, info_M.deletion_starts.split(',')[: -1]), int)
+                summary_M.del_lengths = list(map(int, info_M.deletion_lengths.split(',')[: -1]))
+                summary_M.spec_del_covs = np.fromiter(map(int, info_M.deletion_specific_coverages.split(',')[: -1]), int)
+                summary_M.nonspec_del_covs = np.fromiter(map(int, info_M.deletion_nonspecific_coverages.split(',')[: -1]), int)
 
-            mod_seq_summary.norm_seq_summaries = []
-            for norm_seq_name in names_of_norm_seqs_without_indels.split(','):
-                norm_seq_summary = norm_seq_summary_dict[norm_seq_name]
+            summary_M.summaries_Nb = summaries_Nb = []
+            for name_Nb in info_M.names_of_normalized_seqs_without_indels.split(','):
+                summary_Nb = dict_N_summary[name_Nb]
 
-                # Cross-reference the modified sequence summary and constituent modified normalized
-                # sequence summary objects.
-                norm_seq_summary.mod_seq_summary = mod_seq_summary
-                mod_seq_summary.norm_seq_summaries.append(norm_seq_summary)
+                # Cross-reference the M summary with summary objects of constituent Nb.
+                summary_Nb.summary_M = summary_M
+                summaries_Nb.append(summary_Nb)
 
-                # Ensure that all of the constituent modified normalized sequences have coverage
-                # arrays flush with the modified sequence.
-                if len(norm_seq_summary.seq_string) < len(mod_seq_summary.consensus_seq_string):
-                    fiveprime_extension = np.zeros(len(mod_seq_summary.consensus_seq_string) - len(norm_seq_summary.seq_string), int)
-                    self.extend_norm_seq_fiveprime_end(norm_seq_summary, fiveprime_extension)
-            mod_seq_summaries.append(mod_seq_summary)
+                # Ensure that all constituent Nb have coverage arrays flush with those of M.
+                if summary_Nb.spec_covs.size < seq_length:
+                    elongation_5prime = np.zeros(seq_length - summary_Nb.spec_covs.size, int)
+                    self.elongate_normalized_sequence_fiveprime(summary_Nb, elongation_5prime)
 
-        unmod_norm_seq_summaries = [norm_seq for norm_seq in norm_seq_summary_dict.values()
-                                    if not norm_seq.mod_seq_summary]
+            summaries_M.append(summary_M)
 
-        return unmod_norm_seq_summaries, mod_seq_summaries
+        summaries_Nu = [summary_N for summary_N in dict_N_summary.values() if not summary_N.summary_M]
 
+        return summaries_Nu, summaries_M
 
-    def extend_norm_seq_fiveprime_end(self, norm_seq_summary, fiveprime_extension):
+
+    def elongate_normalized_sequence_fiveprime(self, summary_N, elongation_5prime):
         """Seed sequences can be longer than the normalized sequences from the individual samples,
         requiring addition of empty positions in the normalized sequence coverage arrays at the 5'
-        end, as normalized (and modified) sequences are aligned from the 3' end."""
-        norm_seq_summary.specific_covs = np.concatenate([fiveprime_extension, norm_seq_summary.specific_covs])
-        norm_seq_summary.nonspecific_covs = np.concatenate([fiveprime_extension, norm_seq_summary.nonspecific_covs])
+        end and reindexing of features, as normalized (and modified) sequences are aligned from the
+        3' end."""
+        summary_N.spec_covs = np.concatenate([elongation_5prime, summary_N.spec_covs])
+        summary_N.nonspec_covs = np.concatenate([elongation_5prime, summary_N.nonspec_covs])
+        spec_nt_covs_dict = summary_N.spec_nt_covs_dict
+        for nt, spec_covs in spec_nt_covs_dict.items():
+            spec_nt_covs_dict[nt] = np.concatenate([elongation_5prime, spec_covs])
+        nonspec_nt_covs_dict = summary_N.nonspec_nt_covs_dict
+        for nt, nonspec_covs in nonspec_nt_covs_dict.items():
+            nonspec_nt_covs_dict[nt] = np.concatenate([elongation_5prime, nonspec_covs])
+
+        elongation_length = elongation_5prime.size
+        new_feature_dict = OrderedDict()
+        for feature, feature_index in summary_N.feature_dict.items():
+            try:
+                new_feature_dict[feature] = (feature_index[0] + elongation_length, feature_index[1] + elongation_length)
+            except TypeError:
+                # Missing features with an index of np.nan result in np.nan after addition.
+                try:
+                    new_feature_dict[feature] = feature_index + elongation_length
+                except TypeError:
+                    # `feature_index` is None rather than np.nan for a missing stem start index. For
+                    # convenience, replace it with np.nan.
+                    new_feature_dict[feature] = np.nan
+        summary_N.feature_dict = new_feature_dict
+        summary_N.feature_threshold_start + elongation_length
 
 
     def form_seeds(self):
-        """Form tRNA seed sequences through comparison of the input samples.
-
-        Seed sequences are formed through comparison of the samples' normalized sequences (both
-        unmodified normalized sequences and normalized sequences underlying modified sequences).
-        Seed sequences need not be found in every sample.
-
-        Modification-induced mutations complicate seed formation. (anvi-trnaseq is capable of
-        finding substitutions -- the main type of mutation -- and deletions, though insertions can
-        also occur but go undetected.) Modified sequences are derived from clusters of normalized
-        sequences; unmodified normalized sequences and the normalized sequences underlying modified
-        sequences are here compared between samples to find seeds. If a normalized sequence is
-        shared identically (not as a subsequence) between samples, then the normalized seed
-        sequences and any modified sequences that the normalized sequences are part of are combined
-        into a single seed sequence.
-
-        It is a heuristic to exactly match normalized sequences, rather than to check whether one
-        normalized sequence is a 3' subsequence of the other, or to instead compare underlying
-        trimmed sequences making up normalized sequences. This heuristic should not distort sample
-        merging for the more abundant tRNA species, in particular, as these are most likely to be
-        represented by reads spanning the full length of the tRNA, producing the same normalized
-        sequences."""
-        self.progress.new("Forming seed seqs from input samples")
-
-        norm_seq_string_seed_seq_dict = {}
+        """Form tRNA seeds through comparison of sequences from the input samples.
+
+        Normalized sequences (N) are compared. These include N underlying modified sequences (M),
+        called Nm, and N that are not part of M, called Nu.
+
+        Modification-induced mutations (substitutions and indels) complicate seed formation. If N is
+        shared identically (not as a subsequence) between samples, then N from the samples and any M
+        that N are part of are combined into a single seed. The seed sequence is that of the longest
+        N and need not be found in every sample.
+
+        It is a heuristic to exactly match N, rather than to check whether one N is a 3' subsequence
+        of the other, or to instead compare underlying trimmed sequences making up N. This heuristic
+        should not distort sample merging for the more abundant tRNA species, in particular, as
+        these are most likely to be represented by reads spanning the full length of the tRNA,
+        producing the same N."""
+        pid = "Forming seed seqs from input samples"
+        self.progress.new(pid)
+
+        string_N_seed_dict = {}
         for trnaseq_db_num, trnaseq_db_path in enumerate(self.trnaseq_db_paths):
             sample_id = self.trnaseq_db_sample_ids[trnaseq_db_num]
+            self.progress.update_pid(pid)
             self.progress.update(f"Adding {sample_id}")
 
-            unmod_norm_seq_summaries = self.unmod_norm_seq_summaries_dict[trnaseq_db_path]
-            mod_seq_summaries = self.mod_seq_summaries_dict[trnaseq_db_path]
+            summaries_Nu = self.dict_summaries_Nu[trnaseq_db_path]
+            summaries_M = self.dict_summaries_M[trnaseq_db_path]
 
-            for norm_seq_summary in unmod_norm_seq_summaries:
-                # Process normalized sequences without any detected potential modifications.
-                norm_seq_string = norm_seq_summary.seq_string
+            for summary_Nu in summaries_Nu:
+                # Process Nu.
+                string_Nu = summary_Nu.string
                 try:
-                    # The normalized sequence has already been found in another dataset.
-                    seed_seq = norm_seq_string_seed_seq_dict[norm_seq_string]
+                    # Nu has already been found in another dataset.
+                    seed = string_N_seed_dict[string_Nu]
                 except KeyError:
-                    # Create a new seed sequence based on the normalized sequence.
-                    seed_seq = SeedSeq()
-                    seed_seq.name = norm_seq_summary.name + '_' + sample_id
-                    seed_seq.seq_string = norm_seq_string
-                    seed_seq.meets_feature_threshold = True if norm_seq_summary.feature_threshold_start >= 0 else False
-                    seed_seq.unmod_norm_seq_summaries = [norm_seq_summary]
-                    seed_seq.mod_seq_summaries = []
-                    norm_seq_string_seed_seq_dict[norm_seq_string] = seed_seq
+                    # Create a new seed based on Nu.
+                    seed = SeedSequence()
+                    seed.name = summary_Nu.name + '_' + sample_id
+                    seed.string = string_Nu
+                    seed.meets_feature_threshold = True if summary_Nu.feature_threshold_start >= 0 else False
+                    seed.summaries_Nu = [summary_Nu]
+                    seed.summaries_M = []
+                    string_N_seed_dict[string_Nu] = seed
                     continue
 
-                if len(norm_seq_string) < len(seed_seq.seq_string):
-                    # The normalized sequence string is shorter than the seed sequence string,
-                    # implying that the seed string is a longer modified sequence in another
-                    # dataset. Extend the normalized sequence coverage arrays the needed amount at
-                    # the 5' end. (Note: It is impossible here for the normalized sequence string to
-                    # be longer than the seed sequence string.)
-                    fiveprime_extension = np.zeros(len(seed_seq.seq_string) - len(norm_seq_string), int)
-                    self.extend_norm_seq_fiveprime_end(norm_seq_summary, fiveprime_extension)
-                seed_seq.unmod_norm_seq_summaries.append(norm_seq_summary)
-
-            for mod_seq_summary in mod_seq_summaries:
-                # Find seed sequences from other datasets containing any of the normalized sequences
-                # forming the modified sequence under consideration. If more than one seed sequence
-                # is identified, they are merged.
-                seed_seq_dict = {}
-                for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
+                if len(string_Nu) < len(seed.string):
+                    # Nu is shorter than the existing seed. This implies that the seed was formed
+                    # from a longer M in another dataset. Extend Nu coverage arrays the needed
+                    # amount at the 5' end. (Note: It is impossible here for Nu to be longer than
+                    # the seed.)
+                    elongation_5prime = np.zeros(len(seed.string) - len(string_Nu), int)
+                    self.elongate_normalized_sequence_fiveprime(summary_Nu, elongation_5prime)
+                seed.summaries_Nu.append(summary_Nu)
+
+            for summary_M in summaries_M:
+                # Find seeds from other datasets containing any of Nb forming the M under
+                # consideration. If >1 seed is identified, they are merged.
+                seed_dict = {}
+                for summary_Nb in summary_M.summaries_Nb:
                     try:
-                        # The normalized sequence is represented in another dataset.
-                        seed_seq = norm_seq_string_seed_seq_dict[norm_seq_summary.seq_string]
+                        # Nb is represented in another dataset.
+                        seed = string_N_seed_dict[summary_Nb.string]
                     except KeyError:
                         continue
-                    seed_seq_dict[seed_seq.name] = seed_seq
-
-                if not seed_seq_dict:
-                    # Create a new seed sequence based on the modified sequence.
-                    seed_seq = SeedSeq()
-                    seed_seq.name = mod_seq_summary.name + '_' + sample_id
-                    seed_seq.seq_string = mod_seq_summary.consensus_seq_string
-                    seed_seq.unmod_norm_seq_summaries = []
-                    seed_seq.mod_seq_summaries = []
-                    seed_seq.mod_seq_summaries.append(mod_seq_summary)
-                    for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
-                        if norm_seq_summary.feature_threshold_start >= 0:
-                            seed_seq.meets_feature_threshold = True
+                    seed_dict[seed.name] = seed
+
+                if not seed_dict:
+                    # Create a new seed based on M.
+                    seed = SeedSequence()
+                    seed.name = summary_M.name + '_' + sample_id
+                    seed.string = summary_M.consensus_string
+                    seed.summaries_Nu = []
+                    seed.summaries_M = []
+                    seed.summaries_M.append(summary_M)
+                    for summary_Nb in summary_M.summaries_Nb:
+                        if summary_Nb.feature_threshold_start >= 0:
+                            seed.meets_feature_threshold = True
                             break
                     else:
-                        seed_seq.meets_feature_threshold = False
-                    for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
-                        norm_seq_string_seed_seq_dict[norm_seq_summary.seq_string] = seed_seq
+                        seed.meets_feature_threshold = False
+                    for summary_Nb in summary_M.summaries_Nb:
+                        string_N_seed_dict[summary_Nb.string] = seed
                     continue
 
-                if len(seed_seq_dict) == 1:
-                    # The modified sequence shares one or more normalized sequences with one seed sequence.
-                    seed_seq_name, seed_seq = seed_seq_dict.popitem()
-                    if len(mod_seq_summary.consensus_seq_string) < len(seed_seq.seq_string):
-                        # The modified sequence is shorter than the seed sequence, so its coverage
-                        # arrays must be extended with zeros at the 5' end.
-                        fiveprime_extension = np.zeros(len(seed_seq.seq_string) - len(mod_seq_summary.consensus_seq_string), int)
-                        self.extend_mod_seq_fiveprime_end(mod_seq_summary, fiveprime_extension)
-                        for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
-                            self.extend_norm_seq_fiveprime_end(norm_seq_summary, fiveprime_extension)
-                    elif len(mod_seq_summary.consensus_seq_string) > len(seed_seq.seq_string):
-                        # The modified sequence is longer than the seed sequence, so the coverage
-                        # arrays of the sequences forming the seed sequence must be extended with
+                if len(seed_dict) == 1:
+                    # M shares ≥1 Nb with 1 seed.
+                    seed_name, seed = seed_dict.popitem()
+                    if len(summary_M.consensus_string) < len(seed.string):
+                        # M is shorter than the seed, so its coverage arrays must be extended with
                         # zeros at the 5' end.
-                        fiveprime_extension = np.zeros(len(mod_seq_summary.consensus_seq_string) - len(seed_seq.seq_string), int)
-                        for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
-                            self.extend_norm_seq_fiveprime_end(norm_seq_summary, fiveprime_extension)
-                        for other_mod_seq_summary in seed_seq.mod_seq_summaries:
-                            self.extend_mod_seq_fiveprime_end(other_mod_seq_summary, fiveprime_extension)
-                        seed_seq.name = mod_seq_summary.name + '_' + sample_id
-                        seed_seq.seq_string = mod_seq_summary.consensus_seq_string
-                        for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
-                            if norm_seq_summary.feature_threshold_start >= 0:
-                                seed_seq.meets_feature_threshold = True
+                        elongation_5prime = np.zeros(len(seed.string) - len(summary_M.consensus_string), int)
+                        self.elongate_modified_sequence_fiveprime(summary_M, elongation_5prime)
+                    elif len(summary_M.consensus_string) > len(seed.string):
+                        # M is longer than the seed, so the coverage arrays of N forming the seed
+                        # must be extended with zeros at the 5' end.
+                        elongation_5prime = np.zeros(len(summary_M.consensus_string) - len(seed.string), int)
+                        for summary_Nu in seed.summaries_Nu:
+                            self.elongate_normalized_sequence_fiveprime(summary_Nu, elongation_5prime)
+                        for other_summary_M in seed.summaries_M:
+                            self.elongate_modified_sequence_fiveprime(other_summary_M, elongation_5prime)
+                        seed.name = summary_M.name + '_' + sample_id
+                        seed.string = summary_M.consensus_string
+                        for summary_Nb in summary_M.summaries_Nb:
+                            if summary_Nb.feature_threshold_start >= 0:
+                                seed.meets_feature_threshold = True
                                 break
                         else:
-                            seed_seq.meets_feature_threshold = False
-                    seed_seq.mod_seq_summaries.append(mod_seq_summary)
-                    for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
-                        norm_seq_string_seed_seq_dict[norm_seq_summary.seq_string] = seed_seq
+                            seed.meets_feature_threshold = False
+                    seed.summaries_M.append(summary_M)
+                    for summary_Nb in summary_M.summaries_Nb:
+                        string_N_seed_dict[summary_Nb.string] = seed
                     continue
 
-                # To reach this point, the modified sequence must map to more than one seed
-                # sequence.
-                sorted_seed_seqs = sorted([seed_seq for seed_seq in seed_seq_dict.values()],
-                                          key=lambda seed_seq: -len(seed_seq.seq_string))
-                max_seed_seq_length = len(sorted_seed_seqs[0].seq_string)
-                mod_seq_length = len(mod_seq_summary.consensus_seq_string)
-                if mod_seq_length < max_seed_seq_length:
-                    # Extend coverage arrays of the modified sequence.
-                    fiveprime_extension = np.zeros(max_seed_seq_length - mod_seq_length, int)
-                    self.extend_mod_seq_fiveprime_end(mod_seq_summary, fiveprime_extension)
-
-                    # Extend coverage arrays of shorter seed sequences now grouped with a longer
-                    # seed sequence.
-                    for seed_seq in seed_seq_dict.values():
-                        if len(seed_seq.seq_string) < max_seed_seq_length:
-                            fiveprime_extension = np.zeros(max_seed_seq_length - len(seed_seq.seq_string), int)
-                            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
-                                self.extend_norm_seq_fiveprime_end(norm_seq_summary, fiveprime_extension)
-                            for other_mod_seq_summary in seed_seq.mod_seq_summaries:
-                                self.extend_mod_seq_fiveprime_end(other_mod_seq_summary, fiveprime_extension)
-
-                    new_seed_seq = SeedSeq()
-                    longest_seed_seq = sorted_seed_seqs[0]
-                    new_seed_seq.name = longest_seed_seq.name
-                    new_seed_seq.seq_string = longest_seed_seq.seq_string
-                    new_seed_seq.meets_feature_threshold = longest_seed_seq.meets_feature_threshold
-                elif mod_seq_length > max_seed_seq_length:
-                    # Extend coverage arrays of seed sequences.
-                    for seed_seq in seed_seq_dict.values():
-                        fiveprime_extension = np.zeros(mod_seq_length - len(seed_seq.seq_string), int)
-                        for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
-                            self.extend_norm_seq_fiveprime_end(norm_seq_summary, fiveprime_extension)
-                        for other_mod_seq_summary in seed_seq.mod_seq_summaries:
-                            self.extend_mod_seq_fiveprime_end(other_mod_seq_summary, fiveprime_extension)
-
-                    new_seed_seq = SeedSeq()
-                    new_seed_seq.name = mod_seq_summary.name + '_' + sample_id
-                    new_seed_seq.seq_string = mod_seq_summary.consensus_seq_string
-                    for seed_seq in seed_seq_dict.values():
-                        if seed_seq.meets_feature_threshold:
-                            new_seed_seq.meets_feature_threshold = True
+                # To reach this point, M must map to >1 seed.
+                sorted_seeds = sorted([seed for seed in seed_dict.values()], key=lambda seed: -len(seed.string))
+                max_seed_length = len(sorted_seeds[0].string)
+                length_M = len(summary_M.consensus_string)
+                if length_M < max_seed_length:
+                    # Extend coverage arrays of M.
+                    elongation_5prime = np.zeros(max_seed_length - length_M, int)
+                    self.elongate_modified_sequence_fiveprime(summary_M, elongation_5prime)
+
+                    # Extend coverage arrays of shorter seeds now grouped with a longer seed.
+                    for seed in seed_dict.values():
+                        if len(seed.string) < max_seed_length:
+                            elongation_5prime = np.zeros(max_seed_length - len(seed.string), int)
+                            for summary_Nu in seed.summaries_Nu:
+                                self.elongate_normalized_sequence_fiveprime(summary_Nu, elongation_5prime)
+                            for other_summary_M in seed.summaries_M:
+                                self.elongate_modified_sequence_fiveprime(other_summary_M, elongation_5prime)
+
+                    new_seed = SeedSequence()
+                    longest_seed = sorted_seeds[0]
+                    new_seed.name = longest_seed.name
+                    new_seed.string = longest_seed.string
+                    new_seed.meets_feature_threshold = longest_seed.meets_feature_threshold
+                elif length_M > max_seed_length:
+                    # Extend coverage arrays of seeds.
+                    for seed in seed_dict.values():
+                        elongation_5prime = np.zeros(length_M - len(seed.string), int)
+                        for summary_Nu in seed.summaries_Nu:
+                            self.elongate_normalized_sequence_fiveprime(summary_Nu, elongation_5prime)
+                        for other_summary_M in seed.summaries_M:
+                            self.elongate_modified_sequence_fiveprime(other_summary_M, elongation_5prime)
+
+                    new_seed = SeedSequence()
+                    new_seed.name = summary_M.name + '_' + sample_id
+                    new_seed.string = summary_M.consensus_string
+                    for seed in seed_dict.values():
+                        if seed.meets_feature_threshold:
+                            new_seed.meets_feature_threshold = True
                             break
                     else:
-                        for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
-                            if norm_seq_summary.feature_threshold_start >= 0:
-                                new_seed_seq.meets_feature_threshold = True
+                        for summary_Nb in summary_M.summaries_Nb:
+                            if summary_Nb.feature_threshold_start >= 0:
+                                new_seed.meets_feature_threshold = True
                                 break
                         else:
-                            new_seed_seq.meets_feature_threshold = False
+                            new_seed.meets_feature_threshold = False
                 else:
-                    # The modified sequence is the same length as the longest seed sequence. Extend
-                    # coverage arrays of shorter seed sequences now grouped with a longer seed
-                    # sequence.
-                    for seed_seq in seed_seq_dict.values():
-                        if len(seed_seq.seq_string) < max_seed_seq_length:
-                            fiveprime_extension = np.zeros(max_seed_seq_length - len(seed_seq.seq_string), int)
-                            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
-                                self.extend_norm_seq_fiveprime_end(norm_seq_summary, fiveprime_extension)
-                            for other_mod_seq_summary in seed_seq.mod_seq_summaries:
-                                self.extend_mod_seq_fiveprime_end(other_mod_seq_summary, fiveprime_extension)
-
-                    new_seed_seq = SeedSeq()
-                    new_seed_seq.name = mod_seq_summary.name + '_' + sample_id
-                    new_seed_seq.seq_string = mod_seq_summary.consensus_seq_string
-                    if sorted_seed_seqs[0].meets_feature_threshold:
-                        new_seed_seq.meets_feature_threshold = True
+                    # M is the same length as the longest seed. Extend coverage arrays of shorter
+                    # seeds now grouped with a longer seed.
+                    for seed in seed_dict.values():
+                        if len(seed.string) < max_seed_length:
+                            elongation_5prime = np.zeros(max_seed_length - len(seed.string), int)
+                            for summary_Nu in seed.summaries_Nu:
+                                self.elongate_normalized_sequence_fiveprime(summary_Nu, elongation_5prime)
+                            for other_summary_M in seed.summaries_M:
+                                self.elongate_modified_sequence_fiveprime(other_summary_M, elongation_5prime)
+
+                    new_seed = SeedSequence()
+                    new_seed.name = summary_M.name + '_' + sample_id
+                    new_seed.string = summary_M.consensus_string
+                    if sorted_seeds[0].meets_feature_threshold:
+                        new_seed.meets_feature_threshold = True
                     else:
-                        for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
-                            if norm_seq_summary.feature_threshold_start >= 0:
-                                new_seed_seq.meets_feature_threshold = True
+                        for summary_Nb in summary_M.summaries_Nb:
+                            if summary_Nb.feature_threshold_start >= 0:
+                                new_seed.meets_feature_threshold = True
                                 break
                         else:
-                            new_seed_seq.meets_feature_threshold = False
-
-                # Now that all of the coverage arrays are reconciled in length, the modified
-                # sequence query and constituent sequences of the matching seeds can be added to the
-                # new seed.
-                new_seed_seq.unmod_norm_seq_summaries = []
-                new_seed_seq.mod_seq_summaries = []
-                for seed_seq in seed_seq_dict.values():
-                    new_seed_seq.unmod_norm_seq_summaries += seed_seq.unmod_norm_seq_summaries
-                    new_seed_seq.mod_seq_summaries += seed_seq.mod_seq_summaries
-                new_seed_seq.mod_seq_summaries.append(mod_seq_summary)
-
-                for norm_seq_summary in new_seed_seq.unmod_norm_seq_summaries:
-                    norm_seq_string_seed_seq_dict[norm_seq_summary.seq_string] = new_seed_seq
-                for mod_seq_summary in new_seed_seq.mod_seq_summaries:
-                    for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
-                        norm_seq_string_seed_seq_dict[norm_seq_summary.seq_string] = new_seed_seq
-
-        self.progress.update("Finalizing seeds")
+                            new_seed.meets_feature_threshold = False
+
+                # Now that all of the coverage arrays are reconciled in length, M and constituent N
+                # of the matching seeds can be added to the new seed.
+                new_seed.summaries_Nu = []
+                new_seed.summaries_M = []
+                for seed in seed_dict.values():
+                    new_seed.summaries_Nu += seed.summaries_Nu
+                    new_seed.summaries_M += seed.summaries_M
+                new_seed.summaries_M.append(summary_M)
+
+                for summary_Nu in new_seed.summaries_Nu:
+                    string_N_seed_dict[summary_Nu.string] = new_seed
+                for summary_M in new_seed.summaries_M:
+                    for summary_Nb in summary_M.summaries_Nb:
+                        string_N_seed_dict[summary_Nb.string] = new_seed
 
+        self.progress.update_pid(pid)
+        self.progress.update("...")
         # The seed references in the dict need to be dereplicated.
-        seed_seqs = list({seed_seq.name: seed_seq for seed_seq in norm_seq_string_seed_seq_dict.values()}.values())
+        seeds = list({seed.name: seed for seed in string_N_seed_dict.values()}.values())
+
+        # Disregard seeds that do not reach the 5' feature threshold.
+        seeds = [seed for seed in seeds if seed.meets_feature_threshold]
+
+        self.progress.update_pid(pid)
+        self.progress.update("Checking feature profiles")
+        # Reads with extra 5' nts beyond the acceptor stem sometimes generate false positive tRNA
+        # feature profiles. These erroneous profiles shoehorn the 5' extra nts into the profile
+        # through nt accommodation in variable-length sections of the profile, such as the D loop.
+        # Make sure there are no N shorter than the seed sequence that have a full-length profile.
+
+        # The algorithm requires seq summaries sorted in descending order of seq length.
+        for seed in seeds:
+            seed.summaries_Nu = sorted([summary_Nu for summary_Nu in seed.summaries_Nu],
+                                       key=lambda summary_Nu: -len(summary_Nu.string))
+            seed.summaries_M = sorted([summary_M for summary_M in seed.summaries_M],
+                                      key=lambda summary_M: -len(summary_M.consensus_string))
+            for summary_M in seed.summaries_M:
+                summary_M.summaries_Nb = sorted([summary_Nb for summary_Nb in summary_M.summaries_Nb],
+                                                key=lambda summary_Nb: -len(summary_Nb.string))
+
+        names_seeds_with_conflict = set()
+        seed_indices_below_feature_threshold = []
+        for seed_index, seed in enumerate(seeds):
+            while True:
+                # Remove the longest N (Nu or Nb) with inconsistent full-length profiles until only
+                # N with consistent full-length profiles remain. Exit the while loop at that point.
+                seed_length = len(seed.string)
+                longest_Nu_indices = []
+                longest_Nb_indices = []
+                # Get the feature profile of the first N with the same seq as the seed plus a
+                # full-length profile.
+                seed_features = None
+                # The following variable is used for a specific circumstance. Nu are searched before
+                # M. An Nu the same length as the seed with a full-length profile may not be found
+                # while a shorter Nu with a full-length profile is found, apparently a conflict.
+                # However, an M the same length as the seed with a full-length profile and a
+                # tRNA-His 5'-G can subsequently explain the full-length profile of the shorter Nu.
+                check_His_G = False
+                # Search for a conflict between the full-length profile of a shorter seq and the
+                # seed profile.
+                found_conflict = False
+
+                for index_Nu, summary_Nu in enumerate(seed.summaries_Nu):
+                    if len(summary_Nu.string) == seed_length:
+                        longest_Nu_indices.append(index_Nu)
+                        if seed_features:
+                            # Only record the first qualifying profile.
+                            pass
+                        elif summary_Nu.feature_dict['fiveprime_acceptor_stem_sequence_start'] >= -10:
+                            # Extrapolated acceptor stems, e.g., with starts of -1, can be
+                            # discredited.
+                            seed_features = tuple(summary_Nu.feature_dict.values())
+                        else:
+                            # The seed does not have a full-length profile, so stop looking.
+                            break
+                    elif summary_Nu.feature_dict['fiveprime_acceptor_stem_sequence_start'] >= 0:
+                        # A shorter N than the seed was assigned a full-length profile. This
+                        # indicates a conflict (with one exception involving tRNA-His 5'-G), and the
+                        # longest N will be removed from the seed.
+                        if seed_features:
+                            if seed_features[0] == 0:
+                                if (summary_Nu.feature_dict['fiveprime_acceptor_stem_sequence_start'] == 1
+                                    and ANTICODON_AA_DICT[summary_Nu.anticodon_string] == 'His'):
+                                    # The longest N was also assigned a full-length profile and only
+                                    # differs from the shorter profile by a 5'-G at the end of
+                                    # tRNA-His, so a conflict was not found.
+                                    break
+                        if (not seed_features
+                            and summary_Nu.feature_dict['fiveprime_acceptor_stem_sequence_start'] == 1
+                            and ANTICODON_AA_DICT[summary_Nu.anticodon_string] == 'His'):
+                            check_His_G = True
+                        found_conflict = True
+                        break
+
+                for index_M, summary_M in enumerate(seed.summaries_M):
+                    if len(summary_M.consensus_string) == seed_length:
+                        for index_Nb, summary_Nb in enumerate(summary_M.summaries_Nb):
+                            # Each M consists of Nb which may be of varying lengths.
+                            if len(summary_Nb.string) == seed_length:
+                                longest_Nb_indices.append((index_M, index_Nb))
+                                if seed_features:
+                                    pass
+                                if summary_Nb.feature_dict['fiveprime_acceptor_stem_sequence_start'] >= -10:
+                                    seed_features = tuple(summary_Nb.feature_dict.values())
+                                    if check_His_G:
+                                        if seed_features[0] == 0:
+                                            found_conflict = False
+                                else:
+                                    # The seed does not have a full-length profile, so stop
+                                    # searching M.
+                                    break
+                        else:
+                            continue
+                        # To reach this point, it was found that the seed does not have a
+                        # full-length profile, so stop searching.
+                        break
+                    else:
+                        for summary_Nb in summary_M.summaries_Nb:
+                            if summary_Nb.feature_dict['fiveprime_acceptor_stem_sequence_start'] >= 0:
+                                if seed_features:
+                                    if seed_features[0] == 0:
+                                        if (summary_Nb.feature_dict['fiveprime_acceptor_stem_sequence_start'] == 1
+                                            and ANTICODON_AA_DICT[summary_Nb.anticodon_string] == 'His'):
+                                            break
+                                found_conflict = True
+                                break
+
+                if not found_conflict:
+                    try:
+                        max_length_Nu = len(seed.summaries_Nu[0].string)
+                    except IndexError:
+                        max_length_Nu = 0
+                    try:
+                        max_length_M = len(seed.summaries_M[0].consensus_string)
+                    except IndexError:
+                        max_length_M = 0
+                    if not max_length_Nu:
+                        selected_summary = seed.summaries_M[0].summaries_Nb[0]
+                    elif not max_length_M:
+                        selected_summary = seed.summaries_Nu[0]
+                    else:
+                        if max_length_Nu >= max_length_M:
+                            selected_summary = seed.summaries_Nu[0]
+                        else:
+                            selected_summary = seed.summaries_M[0].summaries_Nb[0]
+                    seed.feature_dict = selected_summary.feature_dict
+
+                    if selected_summary.feature_threshold_start < 0:
+                        seed.meets_feature_threshold = False
+                        seed_indices_below_feature_threshold.append(seed_index)
+                    break
+                names_seeds_with_conflict.add(seed.name)
+
+                # Remove the longest Nu from the seed.
+                for longest_Nu_index in longest_Nu_indices[::-1]:
+                    seed.summaries_Nu.pop(longest_Nu_index)
+
+                altered_M_indices = set()
+                for longest_Nb_index in longest_Nb_indices[::-1]:
+                    seed.summaries_M[longest_Nb_index[0]].summaries_Nb.pop(longest_Nb_index[1])
+                altered_M_indices = set([longest_Nb_index[0] for longest_Nb_index in longest_Nb_indices])
+
+                # If all Nb are removed from an M, then remove M from the seed.
+                altered_M_summaries = []
+                if longest_Nb_indices:
+                    empty_M_indices = []
+                    for index_M, summary_M in enumerate(seed.summaries_M):
+                        if not summary_M.summaries_Nb:
+                            empty_M_indices.append(index_M)
+                        elif index_M in altered_M_indices:
+                            altered_M_summaries.append(summary_M)
+                    for empty_M_index in empty_M_indices[::-1]:
+                        seed.summaries_M.pop(empty_M_index)
+
+                # Find the new length of the seed.
+                max_length_Nu = 0
+                if seed.summaries_Nu:
+                    max_length_Nu = len(seed.summaries_Nu[0].string)
+                max_length_M = 0
+                for summary_M in seed.summaries_M:
+                    length_M = len(summary_M.summaries_Nb[0].string)
+                    if length_M > max_length_M:
+                        max_length_M = length_M
+                new_seed_length = max(max_length_Nu, max_length_M)
+                seed_length_diff = seed_length - new_seed_length
+
+                # Adjust the following attributes of Nu, M, and Nb summary objects that depend upon
+                # seed length: coverage array lengths, feature indices, threshold feature start,
+                # indel information (some indels may now be removed from M).
+                for summary_Nu in seed.summaries_Nu:
+                    self.shorten_normalized_sequence_fiveprime(summary_Nu, seed_length_diff)
+
+                for summary_M in seed.summaries_M:
+                    self.shorten_modified_sequence_fiveprime(summary_M, seed_length_diff)
+
+                if max_length_Nu >= max_length_M:
+                    seed.string = seed.summaries_Nu[0].string
+                    selected_summary = seed.summaries_Nu[0]
+                else:
+                    seed.string = seed.summaries_M[0].consensus_string
+                    selected_summary = seed.summaries_M[0].summaries_Nb[0]
+                seed.feature_dict = selected_summary.feature_dict
+        for seed_index in seed_indices_below_feature_threshold[::-1]:
+            seeds.pop(seed_index)
+
+
+        self.progress.update_pid(pid)
+        self.progress.update("Assigning anticodons")
+        # Assign the anticodon by comparing the mean specific coverage of N comprising the seed, a
+        # simpler approximation of extracting the anticodon coverage from each N.
+        for seed in seeds:
+            if not seed.summaries_M:
+                # The seed is comprised entirely of Nu without unlike nts.
+                seed.anticodon_string = seed.summaries_Nu[0].anticodon_string
+                continue
+
+            anticodon_cov_dict = defaultdict(int)
+            for summary_Nu in seed.summaries_Nu:
+                # Mean specific coverage does not include any 5' padding of zero coverage from the
+                # formation of the seed.
+                anticodon_cov_dict[summary_Nu.anticodon_string] += summary_Nu.mean_spec_cov
+            for summary_M in seed.summaries_M:
+                for summary_Nb in summary_M.summaries_Nb:
+                    anticodon_cov_dict[summary_Nb.anticodon_string] += summary_Nb.mean_spec_cov
 
-        # Disregard seed sequences that do not reach the 5' feature threshold.
-        seed_seqs = [seed_seq for seed_seq in seed_seqs if seed_seq.meets_feature_threshold]
-        self.set_anticodon(seed_seqs)
-        seed_seqs = [seed_seq for seed_seq in seed_seqs if seed_seq.anticodon_seq_string]
+            seed.anticodon_string = sorted(anticodon_cov_dict.items(), key=lambda anticodon_item: -anticodon_item[1])[0][0]
+        seeds = [seed for seed in seeds if seed.anticodon_string]
 
-        # Find specific coverages of modified sequences from specific coverages of nucleotides.
-        self.sum_specific_nt_covs(seed_seqs)
+
+        self.progress.update_pid(pid)
+        self.progress.update("Calculating coverages")
+        self.sample_total_mean_spec_cov_dict = sample_total_mean_spec_cov_dict = defaultdict(int)
+        self.sample_total_discriminator_spec_cov_dict = sample_total_discriminator_spec_cov_dict = defaultdict(int)
+        for seed in seeds:
+            # Find specific coverages of M by summing specific coverages of nts.
+            for summary_M in seed.summaries_M:
+                summary_M.spec_covs = np.array([covs for covs in summary_M.spec_nt_covs_dict.values()]).sum(axis=0)
+
+            # Sum specific coverages from each seq comprising a seed. Calculate the mean specific
+            # coverage of the seed.
+            seed.total_spec_covs = np.zeros(len(seed.string), int)
+            for summary_Nu in seed.summaries_Nu:
+                seed.total_spec_covs += summary_Nu.spec_covs
+                sample_total_mean_spec_cov_dict[summary_Nu.sample_id] += summary_Nu.mean_spec_cov
+                sample_total_discriminator_spec_cov_dict[summary_Nu.sample_id] += summary_Nu.spec_covs[-1]
+            for summary_M in seed.summaries_M:
+                seed.total_spec_covs += summary_M.spec_covs
+                sample_total_mean_spec_cov_dict[summary_M.sample_id] += summary_M.spec_covs.mean()
+                sample_total_discriminator_spec_cov_dict[summary_M.sample_id] += summary_M.spec_covs[-1]
+
+            seed.total_mean_spec_cov = seed.total_spec_covs.mean()
         # Select the top seeds by specific coverage.
-        self.set_total_specific_covs(seed_seqs)
-        seed_seqs = sorted(seed_seqs, key=lambda seed_seq: -seed_seq.total_mean_specific_cov)[: self.seed_seq_limit]
+        seeds = sorted(seeds, key=lambda seed: -seed.total_mean_spec_cov)[: self.seed_limit]
+
+
+        for seed in seeds:
+            # Find nonspecific coverages of M by summing nonspecific coverage of nts.
+            for summary_M in seed.summaries_M:
+                summary_M.nonspec_covs = np.array([covs for covs in summary_M.nonspec_nt_covs_dict.values()]).sum(axis=0)
+
+            # Sum nonspecific coverages from each seq comprising a seed. Calculate the mean
+            # nonspecific coverage of the seed.
+            seed.total_nonspec_covs = np.zeros(len(seed.string), int)
+            for summary_Nu in seed.summaries_Nu:
+                seed.total_nonspec_covs += summary_Nu.nonspec_covs
+            for summary_M in seed.summaries_M:
+                nonspec_nt_covs = np.array([covs for covs in summary_M.nonspec_nt_covs_dict.values()])
+                seed.total_nonspec_covs += nonspec_nt_covs.sum(axis=0)
+
+            seed.total_mean_nonspec_cov = seed.total_nonspec_covs.mean()
+
+
+        # The consensus sequence of a seed consists of the nts with the maximum specific coverage
+        # summed across constituent sequences. When certain tRNA-seq treatments are preferred (e.g.,
+        # demethylase), the chosen nts at substitution sites are on the basis of seqs from preferred
+        # samples.
+        for seed in seeds:
+            if not seed.summaries_M:
+                # The seed is comprised entirely of Nu, which must be subsequences of one another,
+                # so there is no variation in nt composition at any position. The sequence string
+                # was already assigned and does not need to be altered.
+                continue
 
-        self.set_nt_covs(seed_seqs)
-        self.sum_nonspecific_nt_covs(seed_seqs)
-        self.set_total_nonspecific_covs(seed_seqs)
-        self.set_consensus_seq_string(seed_seqs)
-        self.set_gc_fraction(seed_seqs)
+            total_nt_cov_dict = {nt: np.zeros(len(seed.string), int) for nt in UNAMBIG_NTS}
+            for summary_Nu in seed.summaries_Nu:
+                for nt in UNAMBIG_NTS:
+                    total_nt_cov_dict[nt] += summary_Nu.spec_nt_covs_dict[nt]
+            for summary_M in seed.summaries_M:
+                for nt in UNAMBIG_NTS:
+                    total_nt_cov_dict[nt] += summary_M.spec_nt_covs_dict[nt]
 
-        self.seed_seqs = seed_seqs
-        self.total_seed_length = sum([len(seed_seq.seq_string) for seed_seq in seed_seqs])
+            seed.string = ''.join([INT_NT_DICT[i + 1] for i in np.argmax(np.array([total_nt_cov_dict[nt] for nt in UNAMBIG_NTS]), axis=0)])
 
-        self.set_sample_covs()
-        self.set_mods()
-        self.set_consensus_mod_nts()
+            # Set GC fraction of the seed.
+            seed.gc_fraction = sum([1 for nt in seed.string if nt == 'C' or nt == 'G']) / len(seed.string)
+        self.seeds = seeds
+        self.total_seed_length = sum([len(seed.string) for seed in seeds])
 
+        self.set_sample_covs()
+        self.progress.update_pid(pid)
+        self.progress.update("Setting mod-induced substitutions")
+        self.set_substitutions()
+        self.progress.update_pid(pid)
+        self.progress.update("Setting mod-induced indels")
         self.set_sample_indels()
 
         self.progress.end()
+        self.run.info("Candidate seeds with feature conflicts", len(names_seeds_with_conflict), nl_before=1, nl_after=1)
 
 
-    def extend_mod_seq_fiveprime_end(self, mod_seq_summary, fiveprime_extension):
+    def elongate_modified_sequence_fiveprime(self, summary_M, elongation_5prime):
         """Seed sequences can be longer than the normalized sequences from the individual samples,
         requiring addition of empty positions in the normalized sequence coverage arrays at the 5'
         end, as normalized (and modified) sequences are aligned from the 3' end."""
+        for summary_Nb in summary_M.summaries_Nb:
+            self.elongate_normalized_sequence_fiveprime(summary_Nb, elongation_5prime)
+
+        elongation_length = elongation_5prime.size
         # The positions of substitutions are recorded in the seed sequence index.
-        length_5prime_extension = fiveprime_extension.size
-        mod_seq_summary.sub_positions += length_5prime_extension
+        summary_M.sub_positions += elongation_length
         for nt in UNAMBIG_NTS:
-            mod_seq_summary.specific_nt_covs_dict[nt] = np.concatenate([fiveprime_extension, mod_seq_summary.specific_nt_covs_dict[nt]])
-            mod_seq_summary.nonspecific_nt_covs_dict[nt] = np.concatenate([fiveprime_extension, mod_seq_summary.nonspecific_nt_covs_dict[nt]])
-        mod_seq_summary.insert_starts = [start + length_5prime_extension for start in mod_seq_summary.insert_starts]
-        mod_seq_summary.del_starts = [start + length_5prime_extension for start in mod_seq_summary.del_starts]
-
-
-    def set_anticodon(self, seed_seqs):
-        """Assign the anticodon by comparing the mean specific coverage of the normalized sequences
-        comprising the seed (a simpler, approximate substitute for extracting the anticodon coverage
-        from each normalized sequence). This method is called by `DatabaseConverter.process` after
-        sequences from input tRNA-seq databases have been assigned to seeds."""
-        for seed_seq in seed_seqs:
-            if not seed_seq.mod_seq_summaries:
-                # The seed is comprised entirely of identical unmodified normalized sequences.
-                seed_seq.anticodon_seq_string = seed_seq.unmod_norm_seq_summaries[0].anticodon_seq_string
-                continue
+            summary_M.spec_nt_covs_dict[nt] = np.concatenate([elongation_5prime, summary_M.spec_nt_covs_dict[nt]])
+            summary_M.nonspec_nt_covs_dict[nt] = np.concatenate([elongation_5prime, summary_M.nonspec_nt_covs_dict[nt]])
+        summary_M.insert_starts += elongation_length
+        summary_M.del_starts += elongation_length
 
-            anticodon_cov_dict = defaultdict(int)
-            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
-                # Mean specific coverage does not include any 5' padding of zero coverage from the
-                # formation of the seed sequence.
-                anticodon_cov_dict[norm_seq_summary.anticodon_seq_string] += norm_seq_summary.mean_specific_cov
-            for mod_seq_summary in seed_seq.mod_seq_summaries:
-                for norm_seq_summary in mod_seq_summary.norm_seq_summaries:
-                    anticodon_cov_dict[norm_seq_summary.anticodon_seq_string] += norm_seq_summary.mean_specific_cov
-
-            seed_seq.anticodon_seq_string = sorted(anticodon_cov_dict.items(), key=lambda t: -t[1])[0][0]
-
-
-    def sum_specific_nt_covs(self, seed_seqs):
-        """Coverages of the 4 nucleotides are maintained in the tRNA-seq database for modified
-        sequences, since modified sequences have nucleotide variability, so this method is used to
-        calculate overall specific coverages."""
-        for seed_seq in seed_seqs:
-            for mod_seq_summary in seed_seq.mod_seq_summaries:
-                mod_seq_summary.specific_covs = np.array([covs for covs in mod_seq_summary.specific_nt_covs_dict.values()]).sum(axis=0)
-
-
-    def set_total_specific_covs(self, seed_seqs):
-        """Sum specific coverages from each sequence comprising the seed sequence, and also
-        calculate the mean thereof."""
-        for seed_seq in seed_seqs:
-            seed_seq.total_specific_covs = np.zeros(len(seed_seq.seq_string), int)
-            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
-                seed_seq.total_specific_covs += norm_seq_summary.specific_covs
-            for mod_seq_summary in seed_seq.mod_seq_summaries:
-                seed_seq.total_specific_covs += mod_seq_summary.specific_covs
-
-            seed_seq.total_mean_specific_cov = seed_seq.total_specific_covs.mean()
-
-
-    def set_nt_covs(self, seed_seqs):
-        """Make separate coverage arrays for A, C, G and T, which are needed in seed sequence formation."""
-        for seed_seq in seed_seqs:
-            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
-                norm_seq_summary.specific_nt_covs_dict = {nt: np.zeros(norm_seq_summary.specific_covs.size, int) for nt in UNAMBIG_NTS}
-                norm_seq_summary.nonspecific_nt_covs_dict = {nt: np.zeros(norm_seq_summary.nonspecific_covs.size, int) for nt in UNAMBIG_NTS}
-                start_pos = norm_seq_summary.specific_covs.size - len(norm_seq_summary.seq_string)
-                pos = start_pos
-                for nt, specific_cov, nonspecific_cov in zip(norm_seq_summary.seq_string,
-                                                             norm_seq_summary.specific_covs[start_pos: ],
-                                                             norm_seq_summary.nonspecific_covs[start_pos: ]):
-                    norm_seq_summary.specific_nt_covs_dict[nt][pos] = specific_cov
-                    norm_seq_summary.nonspecific_nt_covs_dict[nt][pos] = nonspecific_cov
-                    pos += 1
-
-
-    def sum_nonspecific_nt_covs(self, seed_seqs):
-        """Coverages of the 4 nucleotides are maintained in the tRNA-seq database for modified
-        sequences, since modified sequences have nucleotide variability, so this method is used to
-        calculate overall nonspecific coverages."""
-        for seed_seq in seed_seqs:
-            for mod_seq_summary in seed_seq.mod_seq_summaries:
-                mod_seq_summary.nonspecific_covs = np.array([covs for covs in mod_seq_summary.nonspecific_nt_covs_dict.values()]).sum(axis=0)
-
-
-    def set_total_nonspecific_covs(self, seed_seqs):
-        """Sum nonspecific coverages from each sequence forming the seed sequence, and also
-        calculate the mean thereof."""
-        for seed_seq in seed_seqs:
-            seed_seq.total_nonspecific_covs = np.zeros(len(seed_seq.seq_string), int)
-            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
-                seed_seq.total_nonspecific_covs += norm_seq_summary.nonspecific_covs
-            for mod_seq_summary in seed_seq.mod_seq_summaries:
-                nonspecific_nt_covs = np.array([covs for covs in mod_seq_summary.nonspecific_nt_covs_dict.values()])
-                seed_seq.total_nonspecific_covs += nonspecific_nt_covs.sum(axis=0)
-
-            seed_seq.total_mean_nonspecific_cov = seed_seq.total_nonspecific_covs.mean()
-
-
-    def set_consensus_seq_string(self, seed_seqs):
-        """The consensus sequence for the seed consists of the nucleotides with the maximum specific
-        coverage summed across constituent sequences. When certain tRNA-seq treatments are preferred
-        (e.g., demethylase), nucleotides with predicted modifications are called on the basis of
-        sequences from preferred samples."""
-        for seed_seq in seed_seqs:
-            if not seed_seq.mod_seq_summaries:
-                # The seed is composed entirely of identical unmodified normalized sequences.
-                return
-
-            total_nt_cov_dict = {nt: np.zeros(len(seed_seq.seq_string), int) for nt in UNAMBIG_NTS}
-            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
-                for nt in UNAMBIG_NTS:
-                    total_nt_cov_dict[nt] += norm_seq_summary.specific_nt_covs_dict[nt]
-            for mod_seq_summary in seed_seq.mod_seq_summaries:
-                for nt in UNAMBIG_NTS:
-                    total_nt_cov_dict[nt] += mod_seq_summary.specific_nt_covs_dict[nt]
-
-            seed_seq.seq_string = ''.join(
-                [INT_NT_DICT[i + 1] for i in
-                np.argmax(np.array([total_nt_cov_dict[nt] for nt in UNAMBIG_NTS]), axis=0)]
-            )
 
+    def shorten_normalized_sequence_fiveprime(self, summary_N, reduction_5prime):
+        """Remove some 5' nucleotides from the normalized sequence and recompute certain
+        attributes."""
+        new_feature_dict = {}
+        for feature, feature_index in summary_N.feature_dict.items():
+            try:
+                new_feature_dict[feature] = feature_index - reduction_5prime
+            except TypeError:
+                new_feature_dict[feature] = (feature_index[0] - reduction_5prime, feature_index[1] - reduction_5prime)
+        summary_N.feature_dict = new_feature_dict
+        summary_N.feature_threshold_start -= reduction_5prime
+
+        summary_N.spec_covs = summary_N.spec_covs[reduction_5prime: ]
+        summary_N.nonspec_covs = summary_N.nonspec_covs[reduction_5prime: ]
+
+        spec_nt_covs_dict = summary_N.spec_nt_covs_dict
+        for nt, spec_covs in summary_N.spec_nt_covs_dict.items():
+            spec_nt_covs_dict[nt] = spec_covs[reduction_5prime: ]
+        nonspec_nt_covs_dict = summary_N.nonspec_nt_covs_dict
+        for nt, spec_covs in summary_N.nonspec_nt_covs_dict.items():
+            nonspec_nt_covs_dict[nt] = spec_covs[reduction_5prime: ]
+
+
+    def shorten_modified_sequence_fiveprime(self, summary_M, reduction_5prime):
+        """Remove some 5' nucleotides from the modified sequence and recompute certain
+        attributes."""
+        for summary_Nb in summary_M.summaries_Nb:
+            self.shorten_normalized_sequence_fiveprime(summary_Nb, reduction_5prime)
+
+        sub_positions = summary_M.sub_positions - reduction_5prime
+        summary_M.sub_positions = sub_positions[np.where(sub_positions >= 0)[0][0]: ]
+
+        # The following indel adjustments are very crude because Ni are not currently tracked.
+        if summary_M.insert_starts.size:
+            insert_starts = summary_M.insert_starts - reduction_5prime
+            new_insert_starts = np.where(insert_starts >= 0)[0]
+            summary_M.insert_starts = new_insert_starts
+            if new_insert_starts.size:
+                first_retained_insert_index = new_insert_starts[0]
+                summary_M.insert_strings = summary_M.insert_strings[first_retained_insert_index: ]
+                summary_M.spec_insert_covs = summary_M.spec_insert_covs[first_retained_insert_index: ]
+                summary_M.nonspec_insert_covs = summary_M.nonspec_insert_covs[first_retained_insert_index: ]
+            else:
+                summary_M.insert_strings = []
+                summary_M.spec_insert_covs = np.zeros(0, dtype=int)
+                summary_M.nonspec_insert_covs = np.zeros(0, dtype=int)
+
+        if summary_M.del_starts.size:
+            del_starts = summary_M.del_starts - reduction_5prime
+            new_del_starts = np.where(del_starts >= 0)[0]
+            summary_M.del_starts = new_del_starts
+            if new_del_starts.size:
+                first_retained_del_index = new_del_starts[0]
+                summary_M.del_lengths = summary_M.del_lengths[first_retained_del_index: ]
+                summary_M.spec_del_covs = summary_M.spec_del_covs[first_retained_del_index: ]
+                summary_M.nonspec_del_covs = summary_M.nonspec_del_covs[first_retained_del_index: ]
+            else:
+                summary_M.del_lengths = []
+                summary_M.spec_del_covs = np.zeros(0, dtype=int)
+                summary_M.nonspec_del_covs = np.zeros(0, dtype=int)
+
+        # Find the nt coverages of M from the Nb remaining in M.
+        seq_length = summary_M.spec_nt_covs_dict['A'].size - reduction_5prime
+        summary_M.spec_nt_covs_dict = spec_nt_covs_dict = {nt: np.zeros(seq_length, int) for nt in UNAMBIG_NTS}
+        summary_M.nonspec_nt_covs_dict = nonspec_nt_covs_dict = {nt: np.zeros(seq_length, int) for nt in UNAMBIG_NTS}
+        for summary_Nb in summary_M.summaries_Nb:
+            for nt in UNAMBIG_NTS:
+                spec_nt_covs_dict[nt] += summary_Nb.spec_nt_covs_dict[nt]
+                nonspec_nt_covs_dict[nt] += summary_Nb.nonspec_nt_covs_dict[nt]
+        summary_M.spec_covs = sum(spec_nt_covs_dict.values())
+        summary_M.nonspec_covs = sum(nonspec_nt_covs_dict.values())
 
-    def set_gc_fraction(self, seed_seqs):
-        for seed_seq in seed_seqs:
-            seed_seq.gc_fraction = sum([1 for nt in seed_seq.seq_string if nt == 'C' or nt == 'G']) / len(seed_seq.seq_string)
+        # Set a consensus seq using the nts with the highest specific cov at each sub position.
+        summary_M.consensus_string = ''.join(
+            [INT_NT_DICT[nt_int + 1] for nt_int in
+             np.argmax(np.stack(tuple(spec_nt_covs_dict.values()), axis=0), axis=0)])
 
 
     def set_sample_covs(self):
-        """Determine sample-specific coverages of seeds. Specific, nonspecific and summed coverages
-        are found for A, C, G and T, as well as overall and for Q2-Q3."""
-        for seed_seq in self.seed_seqs:
-            sample_specific_covs_dict = {}
-            sample_nonspecific_covs_dict = {}
+        """Determine coverages of seeds in each sample. Specific, nonspecific and summed coverages
+        are found for each nucleotide, as well as overall and for Q2-Q3."""
+        for seed in self.seeds:
+            sample_spec_covs_dict = {}
+            sample_nonspec_covs_dict = {}
             sample_summed_covs_dict = {}
-            sample_specific_nt_covs_dict = {}
-            sample_nonspecific_nt_covs_dict = {}
+            sample_spec_nt_covs_dict = {}
+            sample_nonspec_nt_covs_dict = {}
             sample_summed_nt_covs_dict = {}
-            seed_seq_length = len(seed_seq.seq_string)
+            seed_length = len(seed.string)
 
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_specific_covs_dict[sample_id] = np.zeros(seed_seq_length, int)
-                sample_nonspecific_covs_dict[sample_id] = np.zeros(seed_seq_length, int)
+                sample_spec_covs_dict[sample_id] = np.zeros(seed_length, int)
+                sample_nonspec_covs_dict[sample_id] = np.zeros(seed_length, int)
 
-                sample_specific_nt_covs_dict[sample_id] = [np.zeros(seed_seq_length, int) for _ in UNAMBIG_NTS]
-                sample_nonspecific_nt_covs_dict[sample_id] = [np.zeros(seed_seq_length, int) for _ in UNAMBIG_NTS]
+                sample_spec_nt_covs_dict[sample_id] = [np.zeros(seed_length, int) for _ in UNAMBIG_NTS]
+                sample_nonspec_nt_covs_dict[sample_id] = [np.zeros(seed_length, int) for _ in UNAMBIG_NTS]
 
-            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
-                sample_id = norm_seq_summary.sample_id
+            for summary_Nu in seed.summaries_Nu:
+                sample_id = summary_Nu.sample_id
 
-                sample_specific_covs_dict[sample_id] += norm_seq_summary.specific_covs
-                sample_nonspecific_covs_dict[sample_id] += norm_seq_summary.nonspecific_covs
+                sample_spec_covs_dict[sample_id] += summary_Nu.spec_covs
+                sample_nonspec_covs_dict[sample_id] += summary_Nu.nonspec_covs
 
-                for i, nt in enumerate(UNAMBIG_NTS):
-                    sample_specific_nt_covs_dict[sample_id][i] += norm_seq_summary.specific_nt_covs_dict[nt]
-                    sample_nonspecific_nt_covs_dict[sample_id][i] += norm_seq_summary.nonspecific_nt_covs_dict[nt]
+                for nt_num, nt in enumerate(UNAMBIG_NTS):
+                    sample_spec_nt_covs_dict[sample_id][nt_num] += summary_Nu.spec_nt_covs_dict[nt]
+                    sample_nonspec_nt_covs_dict[sample_id][nt_num] += summary_Nu.nonspec_nt_covs_dict[nt]
 
-            for mod_seq_summary in seed_seq.mod_seq_summaries:
-                sample_id = mod_seq_summary.sample_id
+            for summary_M in seed.summaries_M:
+                sample_id = summary_M.sample_id
 
-                sample_specific_covs_dict[sample_id] += mod_seq_summary.specific_covs
-                sample_nonspecific_covs_dict[sample_id] += mod_seq_summary.nonspecific_covs
+                sample_spec_covs_dict[sample_id] += summary_M.spec_covs
+                sample_nonspec_covs_dict[sample_id] += summary_M.nonspec_covs
 
-                for i, nt in enumerate(UNAMBIG_NTS):
-                    sample_specific_nt_covs_dict[sample_id][i] += mod_seq_summary.specific_nt_covs_dict[nt]
-                    sample_nonspecific_nt_covs_dict[sample_id][i] += mod_seq_summary.nonspecific_nt_covs_dict[nt]
+                for nt_num, nt in enumerate(UNAMBIG_NTS):
+                    sample_spec_nt_covs_dict[sample_id][nt_num] += summary_M.spec_nt_covs_dict[nt]
+                    sample_nonspec_nt_covs_dict[sample_id][nt_num] += summary_M.nonspec_nt_covs_dict[nt]
 
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_summed_covs_dict[sample_id] = sample_specific_covs_dict[sample_id] + sample_nonspecific_covs_dict[sample_id]
-
-                sample_specific_nt_covs = sample_specific_nt_covs_dict[sample_id]
-                sample_nonspecific_nt_covs = sample_nonspecific_nt_covs_dict[sample_id]
-                sample_summed_nt_covs_dict[sample_id] = [specific_covs + nonspecific_covs for specific_covs, nonspecific_covs
-                                                         in zip(sample_specific_nt_covs, sample_nonspecific_nt_covs)]
-
-            seed_seq.sample_specific_covs_dict = sample_specific_covs_dict
-            seed_seq.sample_nonspecific_covs_dict = sample_nonspecific_covs_dict
-            seed_seq.sample_summed_covs_dict = sample_summed_covs_dict
-            seed_seq.sample_specific_nt_covs_dict = sample_specific_nt_covs_dict
-            seed_seq.sample_nonspecific_nt_covs_dict = sample_nonspecific_nt_covs_dict
-            seed_seq.sample_summed_nt_covs_dict = sample_summed_nt_covs_dict
-
-            q = int(seed_seq_length * 0.25)
-            seed_seq.sample_mean_Q2Q3_specific_cov_dict = {}
-            seed_seq.sample_mean_Q2Q3_nonspecific_cov_dict = {}
-            seed_seq.sample_mean_Q2Q3_summed_cov_dict = {}
+                sample_summed_covs_dict[sample_id] = sample_spec_covs_dict[sample_id] + sample_nonspec_covs_dict[sample_id]
+
+                sample_spec_nt_covs = sample_spec_nt_covs_dict[sample_id]
+                sample_nonspec_nt_covs = sample_nonspec_nt_covs_dict[sample_id]
+                sample_summed_nt_covs_dict[sample_id] = [spec_covs + nonspec_covs for spec_covs, nonspec_covs
+                                                         in zip(sample_spec_nt_covs, sample_nonspec_nt_covs)]
+
+            seed.sample_spec_covs_dict = sample_spec_covs_dict
+            seed.sample_nonspec_covs_dict = sample_nonspec_covs_dict
+            seed.sample_summed_covs_dict = sample_summed_covs_dict
+            seed.sample_spec_nt_covs_dict = sample_spec_nt_covs_dict
+            seed.sample_nonspec_nt_covs_dict = sample_nonspec_nt_covs_dict
+            seed.sample_summed_nt_covs_dict = sample_summed_nt_covs_dict
+
+            quartile = int(seed_length * 0.25)
+            seed.sample_mean_Q2Q3_spec_cov_dict = {}
+            seed.sample_mean_Q2Q3_nonspec_cov_dict = {}
+            seed.sample_mean_Q2Q3_summed_cov_dict = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                seed_seq.sample_mean_Q2Q3_specific_cov_dict[sample_id] = np.mean(
-                    sorted(sample_specific_covs_dict[sample_id])[q: -q])
-                seed_seq.sample_mean_Q2Q3_nonspecific_cov_dict[sample_id] = np.mean(
-                    sorted(sample_nonspecific_covs_dict[sample_id])[q: -q])
-                seed_seq.sample_mean_Q2Q3_summed_cov_dict[sample_id] = np.mean(
-                    sorted(sample_summed_covs_dict[sample_id])[q: -q])
-
-
-    def set_mods(self):
-        """Predict modified positions in the tRNA seed.
-
-        A modification requires a certain level of third- and/or fourth-most abundant nucleotides at
-        the position in one or more samples. A modification in any particular sample additionally
-        requires a certain level of second- through fourth-most abundant nucleotides at the
-        position.
-
-        There is currently an idiosyncracy in how modifications are set that results in the
-        retention, but potential masking, of SNVs. If the position of a potential modification does
-        not meet the coverage threshold for third- and fourth-most abundant nucleotides, the seed is
-        not split into separate seeds around those SNVs, as occurs in anvi-trnaseq. Instead, the
-        SNVs are simply not reported. This is a downside to imposing the aforementioned coverage
+                seed.sample_mean_Q2Q3_spec_cov_dict[sample_id] = np.mean(
+                    sorted(sample_spec_covs_dict[sample_id])[quartile: -quartile])
+                seed.sample_mean_Q2Q3_nonspec_cov_dict[sample_id] = np.mean(
+                    sorted(sample_nonspec_covs_dict[sample_id])[quartile: -quartile])
+                seed.sample_mean_Q2Q3_summed_cov_dict[sample_id] = np.mean(
+                    sorted(sample_summed_covs_dict[sample_id])[quartile: -quartile])
+
+
+    def set_substitutions(self):
+        """Predict positions with modification-induced substitutions in the tRNA seed.
+
+        A sub requires a certain level of third- and/or fourth-most abundant nts at the position in
+        ≥1 sample. A sub in any particular sample additionally requires a certain level of second-
+        through fourth-most abundant nts at the position.
+
+        There is currently an idiosyncracy in how subs are set that results in the retention, but
+        potential masking, of SNVs. If the position of a potential modification does not meet the
+        coverage threshold for third- and fourth-most abundant nucleotides, the seed is not split
+        into separate seeds around those SNVs, as occurs in `anvi-trnaseq`. Instead, the SNVs are
+        simply not reported. This is a downside to imposing the aforementioned coverage
         threshold."""
         # Division by zero issues a numpy warning, but we handle it immediately by converting the
-        # nan result to zero, so you don't need to see the warning. Unfortunately, this is the only
-        # way we have found to suppress the warning.
+        # nan result to zero so that a warning is not produced. Unfortunately, this is the only way
+        # to suppress the warning that is known by the humble developer.
         np.seterr(invalid='ignore')
         min_variation = self.min_variation
         min_third_fourth_nt = self.min_third_fourth_nt
-        for seed_seq in self.seed_seqs:
-            sample_mod_positions_dict = {}
+        for seed in self.seeds:
+            sample_sub_positions_dict = {}
             sample_variability_dict = {}
-            sample_specific_nt_covs_dict = seed_seq.sample_specific_nt_covs_dict
-            seed_seq_length = len(seed_seq.seq_string)
+            sample_spec_nt_covs_dict = seed.sample_spec_nt_covs_dict
+            seed_length = len(seed.string)
             sample_variations = []
-            third_fourth_variations = np.zeros(seed_seq_length)
-            for sample_id, specific_nt_covs in sample_specific_nt_covs_dict.items():
-                specific_nt_covs_array = np.array(specific_nt_covs)
-                specific_nt_covs_array.sort(axis=0)
-                first_covs = specific_nt_covs_array[-1, :]
-                second_covs = specific_nt_covs_array[-2, :]
-                summed_covs = specific_nt_covs_array.sum(axis=0)
+            third_fourth_variations = np.zeros(seed_length)
+            for sample_id, spec_nt_covs in sample_spec_nt_covs_dict.items():
+                spec_nt_covs_array = np.array(spec_nt_covs)
+                spec_nt_covs_array.sort(axis=0)
+                first_covs = spec_nt_covs_array[-1, :]
+                second_covs = spec_nt_covs_array[-2, :]
+                summed_covs = spec_nt_covs_array.sum(axis=0)
                 sample_variations.append(np.nan_to_num(1 - first_covs / summed_covs))
                 third_fourth_variations += np.nan_to_num(1 - (first_covs + second_covs) / summed_covs) >= min_third_fourth_nt
             sample_variations = np.array(sample_variations)
             third_fourth_variations = (third_fourth_variations > 0)
-            total_mod_positions = np.nonzero((sample_variations >= min_variation).any(axis=0) & third_fourth_variations)[0]
-            mod_sample_variations = sample_variations[:, total_mod_positions]
-            for sample_num, sample_id in enumerate(sample_specific_nt_covs_dict.keys()):
-                sample_mod_positions = total_mod_positions[np.nonzero(mod_sample_variations[sample_num, :] >= min_variation)[0]]
-                sample_mod_positions_dict[sample_id] = sample_mod_positions.tolist()
-                sample_variability_dict[sample_id] = sample_mod_positions.size * 1000 / seed_seq_length
-            seed_seq.total_mod_positions = total_mod_positions.tolist()
-            seed_seq.sample_mod_positions_dict = sample_mod_positions_dict
-            seed_seq.sample_variability_dict = sample_variability_dict
+            total_sub_positions = np.nonzero((sample_variations >= min_variation).any(axis=0) & third_fourth_variations)[0]
+            sub_sample_variations = sample_variations[:, total_sub_positions]
+            for sample_num, sample_id in enumerate(sample_spec_nt_covs_dict.keys()):
+                sample_sub_positions = total_sub_positions[np.nonzero(sub_sample_variations[sample_num, :] >= min_variation)[0]]
+                sample_sub_positions_dict[sample_id] = sample_sub_positions.tolist()
+                sample_variability_dict[sample_id] = sample_sub_positions.size * 1000 / seed_length
+            seed.total_sub_positions = total_sub_positions.tolist()
+            seed.sample_sub_positions_dict = sample_sub_positions_dict
+            seed.sample_variability_dict = sample_variability_dict
         np.seterr(invalid='warn')
 
-
-    def set_consensus_mod_nts(self):
-        """Change predicted modified nucleotides in the seed consensus sequences to the nucleotides
-        supported by the "preferred" treated samples, e.g., demethylase splits, with the goal of
-        increasing the accuracy of the underlying base call."""
-        if not self.preferred_treatment:
-            return
-
-        for seed_seq in self.seed_seqs:
-            seq_string = seed_seq.seq_string
-            preferred_nt_cov_dict = {nt: np.zeros(len(seq_string), int) for nt in UNAMBIG_NTS}
-            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
-                if norm_seq_summary.sample_id in self.preferred_trnaseq_db_sample_ids:
+        if self.preferred_treatment:
+            self.set_consensus_substitution_nucleotides()
+
+
+    def set_consensus_substitution_nucleotides(self):
+        """Change predicted nucleotides in seed consensus sequences to those supported by the
+        samples with the preferred treatment (e.g., demethylase splits) with the goal of increasing
+        the accuracy of the underlying base call."""
+        for seed in self.seeds:
+            seed_string = seed.string
+            preferred_nt_cov_dict = {nt: np.zeros(len(seed_string), int) for nt in UNAMBIG_NTS}
+            for summary_Nu in seed.summaries_Nu:
+                if summary_Nu.sample_id in self.preferred_trnaseq_db_sample_ids:
                     for nt in UNAMBIG_NTS:
-                        preferred_nt_cov_dict[nt] += norm_seq_summary.specific_nt_covs_dict[nt]
-            for mod_seq_summary in seed_seq.mod_seq_summaries:
-                if mod_seq_summary.sample_id in self.preferred_trnaseq_db_sample_ids:
+                        preferred_nt_cov_dict[nt] += summary_Nu.spec_nt_covs_dict[nt]
+            for summary_M in seed.summaries_M:
+                if summary_M.sample_id in self.preferred_trnaseq_db_sample_ids:
                     for nt in UNAMBIG_NTS:
-                        preferred_nt_cov_dict[nt] += mod_seq_summary.specific_nt_covs_dict[nt]
+                        preferred_nt_cov_dict[nt] += summary_M.spec_nt_covs_dict[nt]
 
             preferred_nt_cov_array = np.array([preferred_nt_cov_dict[nt] for nt in UNAMBIG_NTS])
-            for mod_pos in seed_seq.total_mod_positions:
-                mod_covs = preferred_nt_cov_array[:, mod_pos]
-                if mod_covs.sum() == 0:
-                    # The preferred treatments do not have specific coverage of the modified site.
+            for sub_pos in seed.total_sub_positions:
+                sub_covs = preferred_nt_cov_array[:, sub_pos]
+                if sub_covs.sum() == 0:
+                    # The preferred treatments do not have specific coverage of the sub site.
                     continue
-                seq_string = seq_string[: mod_pos] + INT_NT_DICT[np.argmax(mod_covs) + 1] + seq_string[mod_pos + 1: ]
-            seed_seq.seq_string = seq_string
+                seed_string = seed_string[: sub_pos] + INT_NT_DICT[np.argmax(sub_covs) + 1] + seed_string[sub_pos + 1: ]
+            seed.string = seed_string
 
 
     def set_sample_indels(self):
-        for seed_seq in self.seed_seqs:
+        for seed in self.seeds:
             sample_insert_dict = {}
             sample_del_dict = {}
 
@@ -6151,40 +6452,39 @@ def set_sample_indels(self):
                 sample_insert_dict[sample_id] = []
                 sample_del_dict[sample_id] = []
 
-            for mod_seq_summary in seed_seq.mod_seq_summaries:
-                sample_id = mod_seq_summary.sample_id
+            for summary_M in seed.summaries_M:
+                sample_id = summary_M.sample_id
 
                 sample_insert_info = sample_insert_dict[sample_id]
-                for insert_start, insert_string, spec_insert_cov, nonspec_insert_cov in zip(mod_seq_summary.insert_starts,
-                                                                                            mod_seq_summary.insert_strings,
-                                                                                            mod_seq_summary.spec_insert_covs,
-                                                                                            mod_seq_summary.nonspec_insert_covs):
+                for insert_start, insert_string, spec_insert_cov, nonspec_insert_cov in zip(summary_M.insert_starts,
+                                                                                            summary_M.insert_strings,
+                                                                                            summary_M.spec_insert_covs,
+                                                                                            summary_M.nonspec_insert_covs):
                     sample_insert_info.append((insert_start, insert_string, spec_insert_cov, nonspec_insert_cov))
 
                 sample_del_info = sample_del_dict[sample_id]
-                for del_start, del_length, spec_del_cov, nonspec_del_cov in zip(mod_seq_summary.del_starts,
-                                                                                mod_seq_summary.del_lengths,
-                                                                                mod_seq_summary.spec_del_covs,
-                                                                                mod_seq_summary.nonspec_del_covs):
+                for del_start, del_length, spec_del_cov, nonspec_del_cov in zip(summary_M.del_starts,
+                                                                                summary_M.del_lengths,
+                                                                                summary_M.spec_del_covs,
+                                                                                summary_M.nonspec_del_covs):
                     sample_del_info.append((del_start, del_length, spec_del_cov, nonspec_del_cov))
 
-            seed_seq.sample_insert_dict = sample_insert_dict
-            seed_seq.sample_del_dict = sample_del_dict
+            seed.sample_insert_dict = sample_insert_dict
+            seed.sample_del_dict = sample_del_dict
 
 
-    def gen_contigs_db(self):
-        """Generate a contigs database of tRNA seeds. The create method of dbops.ContigsDatabase is
-        not used because it tries to call genes, count kmers, and do other things that are
+    def generate_contigs_database(self):
+        """Generate a contigs database of tRNA seeds. The create method of `dbops.ContigsDatabase`
+        is not used because it tries to call genes, count kmers, and do other things that are
         irrelevant to tRNA-seq reads. There are no tRNA splits, but to satisfy the structure of the
-        database, call every contig a split, and maintain tables on both."""
+        database, call every contig a split, and maintain tables for both contigs and splits."""
         self.progress.new("Generating a contigs db of tRNA seeds")
         self.progress.update("...")
 
         contigs_db = dbops.ContigsDatabase(self.contigs_db_path)
-        contigs_db.touch()
-        set_meta_value = contigs_db.db.set_meta_value
-        insert_many = contigs_db.db.insert_many
+        contigs_db.touch('trnaseq')
 
+        set_meta_value = contigs_db.db.set_meta_value
         # Meta-values are set like in `dbops.ContigsDatabase.create`.
         set_meta_value('db_type', 'contigs')
         set_meta_value('db_variant', 'trnaseq')
@@ -6192,8 +6492,8 @@ def gen_contigs_db(self):
         set_meta_value('description', self.descrip if self.descrip else '_No description is provided_')
         set_meta_value('contigs_db_hash', self.contigs_db_hash)
         set_meta_value('split_length', 10000) # sys.maxsize
-        set_meta_value('num_contigs', len(self.seed_seqs))
-        set_meta_value('num_splits', len(self.seed_seqs))
+        set_meta_value('num_contigs', len(self.seeds))
+        set_meta_value('num_splits', len(self.seeds))
         set_meta_value('total_length', self.total_seed_length)
         set_meta_value('kmer_size', 0)
         set_meta_value('gene_level_taxonomy_source', None)
@@ -6209,7 +6509,8 @@ def gen_contigs_db(self):
         set_meta_value('trna_taxonomy_database_version', None)
         set_meta_value('creation_date', time.time())
 
-        insert_many('contig_sequences', [(seed_seq.name, seed_seq.seq_string) for seed_seq in self.seed_seqs])
+        insert_many = contigs_db.db.insert_many
+        insert_many('contig_sequences', [(seed.name, seed.string) for seed in self.seeds])
         insert_many('contigs_basic_info', self.get_contigs_basic_info_table_entries())
         insert_many('splits_basic_info', self.get_splits_basic_info_table_entries())
         insert_many('hmm_hits', self.get_hmm_hits_table_entries())
@@ -6218,9 +6519,10 @@ def gen_contigs_db(self):
         # hits info table are 'ref', 'search_type', 'domain' and 'genes'.
         contigs_db.db.insert('hmm_hits_info', ('Transfer_RNAs', '', 'Transfer_RNAs', None, ''))
         insert_many('genes_in_contigs', self.get_genes_in_contigs_table_entries())
-        insert_many('gene_amino_acid_sequences', [(i, '') for i in range(len(self.seed_seqs))])
+        insert_many('gene_amino_acid_sequences', [(seed_num, '') for seed_num in range(len(self.seeds))])
         insert_many('genes_in_splits', self.get_genes_in_splits_table_entries())
         insert_many('gene_functions', self.get_gene_functions_table_entries())
+        insert_many('trna_feature', self.get_trna_feature_table_entries())
 
         contigs_db.disconnect()
 
@@ -6229,12 +6531,12 @@ def gen_contigs_db(self):
 
     def get_contigs_basic_info_table_entries(self):
         entries = []
-        for seed_seq in self.seed_seqs:
-            seq_string = seed_seq.seq_string
+        for seed in self.seeds:
+            seed_string = seed.string
             entries.append(
-                (seed_seq.name,
-                 len(seq_string),
-                 seed_seq.gc_fraction,
+                (seed.name,
+                 len(seed_string),
+                 seed.gc_fraction,
                  1)
             )
         return entries
@@ -6242,16 +6544,16 @@ def get_contigs_basic_info_table_entries(self):
 
     def get_splits_basic_info_table_entries(self):
         entries = []
-        for seed_seq in self.seed_seqs:
+        for seed in self.seeds:
             entries.append(
-                (seed_seq.name + '_split_00001',
+                (seed.name + '_split_00001',
                  0, # Order of split in parent contig
                  0, # Start in contig
-                 len(seed_seq.seq_string), # Stop in contig
-                 len(seed_seq.seq_string), # Split length
-                 seed_seq.gc_fraction, # GC content of split
-                 seed_seq.gc_fraction, # GC content of parent contig
-                 seed_seq.name)
+                 len(seed.string), # Stop in contig
+                 len(seed.string), # Split length
+                 seed.gc_fraction, # GC content of split
+                 seed.gc_fraction, # GC content of parent contig
+                 seed.name)
             )
         return entries
 
@@ -6259,25 +6561,25 @@ def get_splits_basic_info_table_entries(self):
     def get_hmm_hits_table_entries(self):
         """tRNA seeds are analogous to tRNA gene predictions from a metagenomic contigs database."""
         entries = []
-        for i, seed_seq in enumerate(self.seed_seqs):
+        for seed_num, seed in enumerate(self.seeds):
             entries.append(
-                (i, # Entry ID
-                'Transfer_RNAs', # Source, à la tRNA gene prediction via tRNAScan-SE
-                sha1(seed_seq.seq_string.encode('utf-8')).hexdigest(), # "Gene unique identifier"
-                i, # "Gene callers ID"
-                ANTICODON_AA_DICT[seed_seq.anticodon_seq_string] + '_' + seed_seq.anticodon_seq_string, # "Gene name", à la tRNA gene prediction via tRNAScan-SE
-                '-', # "Gene HMM ID"
-                0.0) # "HMM E-value"
+                (seed_num, # Entry ID
+                 'Transfer_RNAs', # Source, à la tRNA gene prediction via tRNAScan-SE
+                 sha1(seed.string.encode('utf-8')).hexdigest(), # "Gene unique identifier"
+                 seed_num, # "Gene callers ID"
+                 ANTICODON_AA_DICT[seed.anticodon_string] + '_' + seed.anticodon_string, # "Gene name", à la tRNA gene prediction via tRNAScan-SE
+                 '-', # "Gene HMM ID"
+                 0.0) # "HMM E-value"
             )
         return entries
 
 
     def get_hmm_hits_in_splits_table_entries(self):
         entries = []
-        for i, seed_seq in enumerate(self.seed_seqs):
+        for seed_num, seed in enumerate(self.seeds):
             entries.append(
-                (i, # Entry ID
-                 seed_seq.name + '_split_00001', # Split name
+                (seed_num, # Entry ID
+                 seed.name + '_split_00001', # Split name
                  100, # Percentage of "HMM hit" in split
                  'Transfer_RNAs')
             )
@@ -6286,12 +6588,12 @@ def get_hmm_hits_in_splits_table_entries(self):
 
     def get_genes_in_contigs_table_entries(self):
         entries = []
-        for i, seed_seq in enumerate(self.seed_seqs):
+        for seed_num, seed in enumerate(self.seeds):
             entries.append(
-                (i, # Gene callers ID
-                 seed_seq.name, # Contig name
+                (seed_num, # Gene callers ID
+                 seed.name, # Contig name
                  0, # Gene start in contig
-                 len(seed_seq.seq_string), # Gene stop in contig
+                 len(seed.string), # Gene stop in contig
                  'f', # Direction of gene call on contig
                  0, # Is partial gene call: for now, say all seeds are "full tRNAs"
                  2, # Call type: 1 = coding, 2 = noncoding, 3 = unknown
@@ -6303,12 +6605,12 @@ def get_genes_in_contigs_table_entries(self):
 
     def get_genes_in_splits_table_entries(self):
         entries = []
-        for i, seed_seq in enumerate(self.seed_seqs):
+        for seed_num, seed in enumerate(self.seeds):
             entries.append(
-                (seed_seq.name + '_split_00001',
-                 i,
+                (seed.name + '_split_00001',
+                 seed_num,
                  0,
-                 len(seed_seq.seq_string),
+                 len(seed.string),
                  100)
             )
         return entries
@@ -6316,200 +6618,202 @@ def get_genes_in_splits_table_entries(self):
 
     def get_gene_functions_table_entries(self):
         entries = []
-        for i, seed_seq in enumerate(self.seed_seqs):
+        for seed_num, seed in enumerate(self.seeds):
             entries.append(
-                (i,
+                (seed_num,
                  'Transfer_RNAs',
-                 '%s_%s_%d' % (ANTICODON_AA_DICT[seed_seq.anticodon_seq_string], seed_seq.anticodon_seq_string, i),
+                 '%s_%s_%d' % (ANTICODON_AA_DICT[seed.anticodon_string], seed.anticodon_string, seed_num),
                  'tRNA transcript',
                  0.0)
             )
         return entries
 
 
-    def gen_auxiliary_db(self, db_cov_type):
+    def get_trna_feature_table_entries(self):
+        entries = []
+        for seed_num, seed in enumerate(self.seeds):
+            entry = [seed_num]
+            for feature, feature_index in seed.feature_dict.items():
+                try:
+                    if feature_index >= -10:
+                        entry.append(feature_index)
+                    else:
+                        entry.append(None)
+                except TypeError:
+                    entry.append(','.join(map(str, feature_index)))
+            entries.append(tuple(entry))
+        return entries
+
+
+    def generate_auxiliary_database(self, db_cov_type):
         if db_cov_type == 'specific':
-            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(
-                self.specific_auxiliary_db_path, self.contigs_db_hash, create_new=True)
-            for seed_seq in self.seed_seqs:
-                split_name = seed_seq.name + '_split_00001'
-                for sample_id in self.trnaseq_db_sample_ids:\
-                    auxiliary_db.append(split_name,
-                                        sample_id,
-                                        seed_seq.sample_specific_covs_dict[sample_id].tolist())
+            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.spec_auxiliary_db_path, self.contigs_db_hash, db_variant='trnaseq', create_new=True)
+            for seed in self.seeds:
+                split_name = seed.name + '_split_00001'
+                for sample_id in self.trnaseq_db_sample_ids:
+                    auxiliary_db.append(split_name, sample_id, seed.sample_spec_covs_dict[sample_id])
         elif db_cov_type == 'nonspecific':
-            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(
-                self.nonspecific_auxiliary_db_path, self.contigs_db_hash, create_new=True)
-            for seed_seq in self.seed_seqs:
-                split_name = seed_seq.name + '_split_00001'
+            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.nonspec_auxiliary_db_path, self.contigs_db_hash, db_variant='trnaseq', create_new=True)
+            for seed in self.seeds:
+                split_name = seed.name + '_split_00001'
                 for sample_id in self.trnaseq_db_sample_ids:
-                    auxiliary_db.append(split_name,
-                                        sample_id,
-                                        seed_seq.sample_nonspecific_covs_dict[sample_id].tolist())
+                    auxiliary_db.append(split_name, sample_id, seed.sample_nonspec_covs_dict[sample_id])
         elif db_cov_type == 'combined':
-            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(
-                self.combined_auxiliary_db_path, self.contigs_db_hash, create_new=True)
-            for seed_seq in self.seed_seqs:
-                split_name = seed_seq.name + '_split_00001'
+            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.combined_auxiliary_db_path, self.contigs_db_hash, db_variant='trnaseq', create_new=True)
+            for seed in self.seeds:
+                split_name = seed.name + '_split_00001'
                 for sample_id in self.trnaseq_db_sample_ids:
-                    auxiliary_db.append(split_name,
-                                        sample_id + '_specific',
-                                        seed_seq.sample_specific_covs_dict[sample_id].tolist())
-                    auxiliary_db.append(split_name,
-                                        sample_id + '_nonspecific',
-                                        seed_seq.sample_nonspecific_covs_dict[sample_id].tolist())
+                    auxiliary_db.append(split_name, sample_id + '_specific', seed.sample_spec_covs_dict[sample_id])
+                    auxiliary_db.append(split_name, sample_id + '_nonspecific', seed.sample_nonspec_covs_dict[sample_id])
         elif db_cov_type == 'summed':
-            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(
-                self.summed_auxiliary_db_path, self.contigs_db_hash, create_new=True)
-            for seed_seq in self.seed_seqs:
-                split_name = seed_seq.name + '_split_00001'
+            auxiliary_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.summed_auxiliary_db_path, self.contigs_db_hash, db_variant='trnaseq', create_new=True)
+            for seed in self.seeds:
+                split_name = seed.name + '_split_00001'
                 for sample_id in self.trnaseq_db_sample_ids:
-                    auxiliary_db.append(split_name,
-                                        sample_id,
-                                        (seed_seq.sample_specific_covs_dict[sample_id] + seed_seq.sample_nonspecific_covs_dict[sample_id]).tolist())
+                    auxiliary_db.append(split_name, sample_id, (seed.sample_spec_covs_dict[sample_id] + seed.sample_nonspec_covs_dict[sample_id]))
         else:
-            raise ConfigError(f"The type of profile database provided, {db_cov_type}, is not among "
-                              "those that are recognized: 'specific', 'nonspecific', 'combined', and 'summed'.")
+            raise ConfigError(f"The type of profile database provided, {db_cov_type}, "
+                              "is not among those that are recognized: 'specific', 'nonspecific', 'combined', and 'summed'.")
 
         auxiliary_db.store()
         auxiliary_db.close()
 
 
-    def set_sample_total_covs(self):
+    def set_sample_total_coverages(self):
         """For each input sample, find the total specific, nonspecific and summed coverage of the
         seeds across all positions (single integers)."""
-        sample_total_specific_cov_dict = {sample_id: 0 for sample_id in self.trnaseq_db_sample_ids}
-        sample_total_nonspecific_cov_dict = {sample_id: 0 for sample_id in self.trnaseq_db_sample_ids}
-        for seed_seq in self.seed_seqs:
-            for norm_seq_summary in seed_seq.unmod_norm_seq_summaries:
-                sample_id = norm_seq_summary.sample_id
-                specific_cov = norm_seq_summary.specific_covs.sum()
-                nonspecific_cov = norm_seq_summary.nonspecific_covs.sum()
-                sample_total_specific_cov_dict[sample_id] += specific_cov
-                sample_total_nonspecific_cov_dict[sample_id] += nonspecific_cov
-            for mod_seq_summary in seed_seq.mod_seq_summaries:
-                sample_id = mod_seq_summary.sample_id
-                specific_cov = mod_seq_summary.specific_covs.sum()
-                nonspecific_cov = mod_seq_summary.nonspecific_covs.sum()
-                sample_total_specific_cov_dict[sample_id] += specific_cov
-                sample_total_nonspecific_cov_dict[sample_id] += nonspecific_cov
+        sample_total_spec_cov_dict = {sample_id: 0 for sample_id in self.trnaseq_db_sample_ids}
+        sample_total_nonspec_cov_dict = {sample_id: 0 for sample_id in self.trnaseq_db_sample_ids}
+        for seed in self.seeds:
+            for summary_Nu in seed.summaries_Nu:
+                sample_id = summary_Nu.sample_id
+                spec_cov = summary_Nu.spec_covs.sum()
+                nonspec_cov = summary_Nu.nonspec_covs.sum()
+                sample_total_spec_cov_dict[sample_id] += spec_cov
+                sample_total_nonspec_cov_dict[sample_id] += nonspec_cov
+            for summary_M in seed.summaries_M:
+                sample_id = summary_M.sample_id
+                spec_cov = summary_M.spec_covs.sum()
+                nonspec_cov = summary_M.nonspec_covs.sum()
+                sample_total_spec_cov_dict[sample_id] += spec_cov
+                sample_total_nonspec_cov_dict[sample_id] += nonspec_cov
 
         sample_total_summed_cov_dict = {}
         for sample_id in self.trnaseq_db_sample_ids:
-            sample_total_summed_cov_dict[sample_id] = sample_total_specific_cov_dict[sample_id] + sample_total_nonspecific_cov_dict[sample_id]
+            sample_total_summed_cov_dict[sample_id] = sample_total_spec_cov_dict[sample_id] + sample_total_nonspec_cov_dict[sample_id]
 
-        self.sample_total_specific_cov_dict = sample_total_specific_cov_dict
-        self.sample_total_nonspecific_cov_dict = sample_total_nonspecific_cov_dict
+        self.sample_total_spec_cov_dict = sample_total_spec_cov_dict
+        self.sample_total_nonspec_cov_dict = sample_total_nonspec_cov_dict
         self.sample_total_summed_cov_dict = sample_total_summed_cov_dict
 
 
-    def set_sample_overall_mean_covs(self):
+    def set_sample_overall_mean_coverages(self):
         """For each input sample, find the mean specific, nonspecific and summed coverage of all
         seeds across all positions (single numbers)."""
-        sample_overall_mean_specific_cov_dict = {}
-        sample_overall_mean_nonspecific_cov_dict = {}
+        sample_overall_mean_spec_cov_dict = {}
+        sample_overall_mean_nonspec_cov_dict = {}
         sample_overall_mean_summed_cov_dict = {}
-        for sample_id, total_specific_cov in self.sample_total_specific_cov_dict.items():
-            sample_overall_mean_specific_cov_dict[sample_id] = total_specific_cov / self.total_seed_length
-        for sample_id, total_nonspecific_cov in self.sample_total_nonspecific_cov_dict.items():
-            sample_overall_mean_nonspecific_cov_dict[sample_id] = total_nonspecific_cov / self.total_seed_length
+        for sample_id, total_spec_cov in self.sample_total_spec_cov_dict.items():
+            sample_overall_mean_spec_cov_dict[sample_id] = total_spec_cov / self.total_seed_length
+        for sample_id, total_nonspec_cov in self.sample_total_nonspec_cov_dict.items():
+            sample_overall_mean_nonspec_cov_dict[sample_id] = total_nonspec_cov / self.total_seed_length
         for sample_id, total_summed_cov in self.sample_total_summed_cov_dict.items():
             sample_overall_mean_summed_cov_dict[sample_id] = total_summed_cov / self.total_seed_length
 
-        self.sample_overall_mean_specific_cov_dict = sample_overall_mean_specific_cov_dict
-        self.sample_overall_mean_nonspecific_cov_dict = sample_overall_mean_nonspecific_cov_dict
+        self.sample_overall_mean_spec_cov_dict = sample_overall_mean_spec_cov_dict
+        self.sample_overall_mean_nonspec_cov_dict = sample_overall_mean_nonspec_cov_dict
         self.sample_overall_mean_summed_cov_dict = sample_overall_mean_summed_cov_dict
 
 
-    def set_sample_mean_covs(self):
-        """Mean coverage of each seed in a sample."""
-        for seed_seq in self.seed_seqs:
-            sample_mean_specific_cov_dict = {}
-            sample_mean_nonspecific_cov_dict = {}
+    def set_sample_mean_coverages(self):
+        """Set the mean coverage of each seed in a sample."""
+        for seed in self.seeds:
+            sample_mean_spec_cov_dict = {}
+            sample_mean_nonspec_cov_dict = {}
             sample_mean_summed_cov_dict = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_mean_specific_cov_dict[sample_id] = seed_seq.sample_specific_covs_dict[sample_id].mean()
-                sample_mean_nonspecific_cov_dict[sample_id] = seed_seq.sample_nonspecific_covs_dict[sample_id].mean()
-                sample_mean_summed_cov_dict[sample_id] = seed_seq.sample_summed_covs_dict[sample_id].mean()
-            seed_seq.sample_mean_specific_cov_dict = sample_mean_specific_cov_dict
-            seed_seq.sample_mean_nonspecific_cov_dict = sample_mean_nonspecific_cov_dict
-            seed_seq.sample_mean_summed_cov_dict = sample_mean_summed_cov_dict
-
-
-    def set_sample_std_covs(self):
-        """Standard deviation of the coverage of each seed in a sample."""
-        for seed_seq in self.seed_seqs:
-            sample_std_specific_cov_dict = {}
-            sample_std_nonspecific_cov_dict = {}
+                sample_mean_spec_cov_dict[sample_id] = seed.sample_spec_covs_dict[sample_id].mean()
+                sample_mean_nonspec_cov_dict[sample_id] = seed.sample_nonspec_covs_dict[sample_id].mean()
+                sample_mean_summed_cov_dict[sample_id] = seed.sample_summed_covs_dict[sample_id].mean()
+            seed.sample_mean_spec_cov_dict = sample_mean_spec_cov_dict
+            seed.sample_mean_nonspec_cov_dict = sample_mean_nonspec_cov_dict
+            seed.sample_mean_summed_cov_dict = sample_mean_summed_cov_dict
+
+
+    def set_sample_coverage_standard_deviations(self):
+        """Set the standard deviation of the coverage of each seed in a sample."""
+        for seed in self.seeds:
+            sample_std_spec_cov_dict = {}
+            sample_std_nonspec_cov_dict = {}
             sample_std_summed_cov_dict = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_std_specific_cov_dict[sample_id] = seed_seq.sample_specific_covs_dict[sample_id].std()
-                sample_std_nonspecific_cov_dict[sample_id] = seed_seq.sample_nonspecific_covs_dict[sample_id].std()
-                sample_std_summed_cov_dict[sample_id] = seed_seq.sample_summed_covs_dict[sample_id].std()
-            seed_seq.sample_std_specific_cov_dict = sample_std_specific_cov_dict
-            seed_seq.sample_std_nonspecific_cov_dict = sample_std_nonspecific_cov_dict
-            seed_seq.sample_std_summed_cov_dict = sample_std_summed_cov_dict
+                sample_std_spec_cov_dict[sample_id] = seed.sample_spec_covs_dict[sample_id].std()
+                sample_std_nonspec_cov_dict[sample_id] = seed.sample_nonspec_covs_dict[sample_id].std()
+                sample_std_summed_cov_dict[sample_id] = seed.sample_summed_covs_dict[sample_id].std()
+            seed.sample_std_spec_cov_dict = sample_std_spec_cov_dict
+            seed.sample_std_nonspec_cov_dict = sample_std_nonspec_cov_dict
+            seed.sample_std_summed_cov_dict = sample_std_summed_cov_dict
 
 
     def set_sample_abundances(self):
         """For each sample, and for specific and nonspecific coverages, abundance is defined as the
         mean coverage of the seed divided by the mean total coverage of the sample across all
         seeds."""
-        for seed_seq in self.seed_seqs:
-            sample_specific_abundances_dict = {}
-            sample_nonspecific_abundances_dict = {}
-            sample_summed_abundances_dict = {}
+        for seed in self.seeds:
+            sample_spec_abund_dict = {}
+            sample_nonspec_abund_dict = {}
+            sample_summed_abund_dict = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_specific_abundances_dict[sample_id] = seed_seq.sample_mean_specific_cov_dict[sample_id] / self.sample_overall_mean_specific_cov_dict[sample_id]
-                sample_nonspecific_abundances_dict[sample_id] = seed_seq.sample_mean_nonspecific_cov_dict[sample_id] / self.sample_overall_mean_nonspecific_cov_dict[sample_id]
-                sample_summed_abundances_dict[sample_id] = seed_seq.sample_mean_summed_cov_dict[sample_id] / self.sample_overall_mean_summed_cov_dict[sample_id]
-            seed_seq.sample_specific_abundances_dict = sample_specific_abundances_dict
-            seed_seq.sample_nonspecific_abundances_dict = sample_nonspecific_abundances_dict
-            seed_seq.sample_summed_abundances_dict = sample_summed_abundances_dict
+                sample_spec_abund_dict[sample_id] = seed.sample_mean_spec_cov_dict[sample_id] / self.sample_overall_mean_spec_cov_dict[sample_id]
+                sample_nonspec_abund_dict[sample_id] = seed.sample_mean_nonspec_cov_dict[sample_id] / self.sample_overall_mean_nonspec_cov_dict[sample_id]
+                sample_summed_abund_dict[sample_id] = seed.sample_mean_summed_cov_dict[sample_id] / self.sample_overall_mean_summed_cov_dict[sample_id]
+            seed.sample_spec_abund_dict = sample_spec_abund_dict
+            seed.sample_nonspec_abund_dict = sample_nonspec_abund_dict
+            seed.sample_summed_abund_dict = sample_summed_abund_dict
 
 
     def set_sample_normalization_multipliers(self):
         """Set a normalization constant for each sample to scale their coverages, allowing the
-        relative abundance of seeds in a sample to compared between samples. Normalization is based
-        on the total specific coverage of each sample -- one can imagine other ways of doing this,
-        including use of summed specific and nonspecific coverage, but this would require
+        relative abundance of seeds in a sample to be compared between samples. Normalization is
+        based on the total specific coverage of each sample -- one can imagine other ways of doing
+        this, including use of summed specific and nonspecific coverage, but this would require
         deconvoluting the multiple representation of nonspecific reads."""
         sample_normalization_multiplier_dict = {}
-        min_total_specific_cov = min([v for v in self.sample_total_specific_cov_dict.values()])
-        for sample_id, total_specific_cov in self.sample_total_specific_cov_dict.items():
-            sample_normalization_multiplier_dict[sample_id] = min_total_specific_cov / total_specific_cov
+        min_total_spec_cov = min([v for v in self.sample_total_spec_cov_dict.values()])
+        for sample_id, total_spec_cov in self.sample_total_spec_cov_dict.items():
+            sample_normalization_multiplier_dict[sample_id] = min_total_spec_cov / total_spec_cov
         self.sample_normalization_multiplier_dict = sample_normalization_multiplier_dict
 
 
     def set_sample_normalized_mean_Q2Q3_coverages(self):
         """Scale mean coverages for comparison across samples."""
-        for seed_seq in self.seed_seqs:
-            sample_normalized_mean_Q2Q3_specific_cov_dict = {}
-            sample_normalized_mean_Q2Q3_nonspecific_cov_dict = {}
+        for seed in self.seeds:
+            sample_normalized_mean_Q2Q3_spec_cov_dict = {}
+            sample_normalized_mean_Q2Q3_nonspec_cov_dict = {}
             sample_normalized_mean_Q2Q3_summed_cov_dict = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_normalized_mean_Q2Q3_specific_cov_dict[sample_id] = seed_seq.sample_mean_Q2Q3_specific_cov_dict[sample_id] * self.sample_normalization_multiplier_dict[sample_id]
-                sample_normalized_mean_Q2Q3_nonspecific_cov_dict[sample_id] = seed_seq.sample_mean_Q2Q3_nonspecific_cov_dict[sample_id] * self.sample_normalization_multiplier_dict[sample_id]
-                sample_normalized_mean_Q2Q3_summed_cov_dict[sample_id] = seed_seq.sample_mean_Q2Q3_summed_cov_dict[sample_id] * self.sample_normalization_multiplier_dict[sample_id]
-            seed_seq.sample_normalized_mean_Q2Q3_specific_cov_dict = sample_normalized_mean_Q2Q3_specific_cov_dict
-            seed_seq.sample_normalized_mean_Q2Q3_nonspecific_cov_dict = sample_normalized_mean_Q2Q3_nonspecific_cov_dict
-            seed_seq.sample_normalized_mean_Q2Q3_summed_cov_dict = sample_normalized_mean_Q2Q3_summed_cov_dict
+                sample_normalized_mean_Q2Q3_spec_cov_dict[sample_id] = seed.sample_mean_Q2Q3_spec_cov_dict[sample_id] * self.sample_normalization_multiplier_dict[sample_id]
+                sample_normalized_mean_Q2Q3_nonspec_cov_dict[sample_id] = seed.sample_mean_Q2Q3_nonspec_cov_dict[sample_id] * self.sample_normalization_multiplier_dict[sample_id]
+                sample_normalized_mean_Q2Q3_summed_cov_dict[sample_id] = seed.sample_mean_Q2Q3_summed_cov_dict[sample_id] * self.sample_normalization_multiplier_dict[sample_id]
+            seed.sample_normalized_mean_Q2Q3_spec_cov_dict = sample_normalized_mean_Q2Q3_spec_cov_dict
+            seed.sample_normalized_mean_Q2Q3_nonspec_cov_dict = sample_normalized_mean_Q2Q3_nonspec_cov_dict
+            seed.sample_normalized_mean_Q2Q3_summed_cov_dict = sample_normalized_mean_Q2Q3_summed_cov_dict
 
 
     def set_sample_detections(self):
         """Find the proportion of each seed sequence covered by reads in a sample."""
-        for seed_seq in self.seed_seqs:
-            seed_seq_length = len(seed_seq.seq_string)
-            sample_specific_detection_dict = {}
-            sample_nonspecific_detection_dict = {}
+        for seed in self.seeds:
+            seed_length = len(seed.string)
+            sample_spec_detection_dict = {}
+            sample_nonspec_detection_dict = {}
             sample_summed_detection_dict = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_specific_detection_dict[sample_id] = seed_seq.sample_specific_covs_dict[sample_id].nonzero()[0].size / seed_seq_length
-                sample_nonspecific_detection_dict[sample_id] = seed_seq.sample_nonspecific_covs_dict[sample_id].nonzero()[0].size / seed_seq_length
-                sample_summed_detection_dict[sample_id] = seed_seq.sample_summed_covs_dict[sample_id].nonzero()[0].size / seed_seq_length
-            seed_seq.sample_specific_detection_dict = sample_specific_detection_dict
-            seed_seq.sample_nonspecific_detection_dict = sample_nonspecific_detection_dict
-            seed_seq.sample_summed_detection_dict = sample_summed_detection_dict
+                sample_spec_detection_dict[sample_id] = seed.sample_spec_covs_dict[sample_id].nonzero()[0].size / seed_length
+                sample_nonspec_detection_dict[sample_id] = seed.sample_nonspec_covs_dict[sample_id].nonzero()[0].size / seed_length
+                sample_summed_detection_dict[sample_id] = seed.sample_summed_covs_dict[sample_id].nonzero()[0].size / seed_length
+            seed.sample_spec_detection_dict = sample_spec_detection_dict
+            seed.sample_nonspec_detection_dict = sample_nonspec_detection_dict
+            seed.sample_summed_detection_dict = sample_summed_detection_dict
 
 
     def set_sample_relative_abundances(self):
@@ -6517,64 +6821,66 @@ def set_sample_relative_abundances(self):
         total coverage of the seed across samples -- relative abundances sum to one across
         samples."""
         np.seterr(invalid='ignore')
-        for seed_seq in self.seed_seqs:
-            sample_specific_relative_abundances_dict = {}
-            sample_nonspecific_relative_abundances_dict = {}
-            sample_summed_relative_abundances_dict = {}
-            pansample_normalized_mean_Q2Q3_specific_cov = sum(seed_seq.sample_normalized_mean_Q2Q3_specific_cov_dict.values())
-            pansample_normalized_mean_Q2Q3_nonspecific_cov = sum(seed_seq.sample_normalized_mean_Q2Q3_nonspecific_cov_dict.values())
-            pansample_normalized_mean_Q2Q3_summed_cov = sum(seed_seq.sample_normalized_mean_Q2Q3_summed_cov_dict.values())
+        for seed in self.seeds:
+            sample_spec_rel_abund_dict = {}
+            sample_nonspec_rel_abund_dict = {}
+            sample_summed_rel_abund_dict = {}
+            pansample_normalized_mean_Q2Q3_spec_cov = sum(seed.sample_normalized_mean_Q2Q3_spec_cov_dict.values())
+            pansample_normalized_mean_Q2Q3_nonspec_cov = sum(seed.sample_normalized_mean_Q2Q3_nonspec_cov_dict.values())
+            pansample_normalized_mean_Q2Q3_summed_cov = sum(seed.sample_normalized_mean_Q2Q3_summed_cov_dict.values())
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_specific_relative_abundances_dict[sample_id] = seed_seq.sample_normalized_mean_Q2Q3_specific_cov_dict[sample_id] / pansample_normalized_mean_Q2Q3_specific_cov
-                sample_nonspecific_relative_abundances_dict[sample_id] = seed_seq.sample_normalized_mean_Q2Q3_nonspecific_cov_dict[sample_id] / pansample_normalized_mean_Q2Q3_nonspecific_cov
-                sample_summed_relative_abundances_dict[sample_id] = seed_seq.sample_normalized_mean_Q2Q3_summed_cov_dict[sample_id] / pansample_normalized_mean_Q2Q3_summed_cov
-            seed_seq.sample_specific_relative_abundances_dict = sample_specific_relative_abundances_dict
-            seed_seq.sample_nonspecific_relative_abundances_dict = sample_nonspecific_relative_abundances_dict
-            seed_seq.sample_summed_relative_abundances_dict = sample_summed_relative_abundances_dict
+                sample_spec_rel_abund_dict[sample_id] = seed.sample_normalized_mean_Q2Q3_spec_cov_dict[sample_id] / pansample_normalized_mean_Q2Q3_spec_cov
+                sample_nonspec_rel_abund_dict[sample_id] = seed.sample_normalized_mean_Q2Q3_nonspec_cov_dict[sample_id] / pansample_normalized_mean_Q2Q3_nonspec_cov
+                sample_summed_rel_abund_dict[sample_id] = seed.sample_normalized_mean_Q2Q3_summed_cov_dict[sample_id] / pansample_normalized_mean_Q2Q3_summed_cov
+            seed.sample_spec_rel_abund_dict = sample_spec_rel_abund_dict
+            seed.sample_nonspec_rel_abund_dict = sample_nonspec_rel_abund_dict
+            seed.sample_summed_rel_abund_dict = sample_summed_rel_abund_dict
         np.seterr(invalid='warn')
 
 
     def set_sample_max_normalized_ratios(self):
         """The max normalized coverage ratio represents the coverage of the seed in one sample
-        relative to the maximum coverage amongst the samples -- one sample will always have a value
-        equal to one."""
-        for seed_seq in self.seed_seqs:
-            sample_specific_max_normalized_ratio_dict = {}
-            sample_nonspecific_max_normalized_ratio_dict = {}
+        relative to the max coverage amongst the samples -- one sample will always have a value
+        equal to 1."""
+        for seed in self.seeds:
+            sample_spec_max_normalized_ratio_dict = {}
+            sample_nonspec_max_normalized_ratio_dict = {}
             sample_summed_max_normalized_ratio_dict = {}
-            max_normalized_mean_Q2Q3_specific_cov = max(seed_seq.sample_normalized_mean_Q2Q3_specific_cov_dict.values())
-            max_normalized_mean_Q2Q3_nonspecific_cov = max(seed_seq.sample_normalized_mean_Q2Q3_nonspecific_cov_dict.values())
-            max_normalized_mean_Q2Q3_summed_cov = max(seed_seq.sample_normalized_mean_Q2Q3_summed_cov_dict.values())
+            max_normalized_mean_Q2Q3_spec_cov = max(seed.sample_normalized_mean_Q2Q3_spec_cov_dict.values())
+            max_normalized_mean_Q2Q3_nonspec_cov = max(seed.sample_normalized_mean_Q2Q3_nonspec_cov_dict.values())
+            max_normalized_mean_Q2Q3_summed_cov = max(seed.sample_normalized_mean_Q2Q3_summed_cov_dict.values())
             for sample_id in self.trnaseq_db_sample_ids:
-                sample_specific_max_normalized_ratio_dict[sample_id] = seed_seq.sample_normalized_mean_Q2Q3_specific_cov_dict[sample_id] / max_normalized_mean_Q2Q3_specific_cov if max_normalized_mean_Q2Q3_specific_cov else 0
-                sample_nonspecific_max_normalized_ratio_dict[sample_id] = seed_seq.sample_normalized_mean_Q2Q3_nonspecific_cov_dict[sample_id] / max_normalized_mean_Q2Q3_nonspecific_cov if max_normalized_mean_Q2Q3_nonspecific_cov else 0
-                sample_summed_max_normalized_ratio_dict[sample_id] = seed_seq.sample_normalized_mean_Q2Q3_summed_cov_dict[sample_id] / max_normalized_mean_Q2Q3_summed_cov if max_normalized_mean_Q2Q3_summed_cov else 0
-            seed_seq.sample_specific_max_normalized_ratio_dict = sample_specific_max_normalized_ratio_dict
-            seed_seq.sample_nonspecific_max_normalized_ratio_dict = sample_nonspecific_max_normalized_ratio_dict
-            seed_seq.sample_summed_max_normalized_ratio_dict = sample_summed_max_normalized_ratio_dict
-
-
-    def set_variable_nts_table_entries(self):
-        """Variable nucleotides in the profile databases are nucleotides with predicted
-        modifications, not single nucleotide variants. Modifications are determined from specific
-        coverage, but are displayed in nonspecific and summed profile databases as well."""
+                sample_spec_max_normalized_ratio_dict[sample_id] = seed.sample_normalized_mean_Q2Q3_spec_cov_dict[sample_id] / max_normalized_mean_Q2Q3_spec_cov if max_normalized_mean_Q2Q3_spec_cov else 0
+                sample_nonspec_max_normalized_ratio_dict[sample_id] = seed.sample_normalized_mean_Q2Q3_nonspec_cov_dict[sample_id] / max_normalized_mean_Q2Q3_nonspec_cov if max_normalized_mean_Q2Q3_nonspec_cov else 0
+                sample_summed_max_normalized_ratio_dict[sample_id] = seed.sample_normalized_mean_Q2Q3_summed_cov_dict[sample_id] / max_normalized_mean_Q2Q3_summed_cov if max_normalized_mean_Q2Q3_summed_cov else 0
+            seed.sample_spec_max_normalized_ratio_dict = sample_spec_max_normalized_ratio_dict
+            seed.sample_nonspec_max_normalized_ratio_dict = sample_nonspec_max_normalized_ratio_dict
+            seed.sample_summed_max_normalized_ratio_dict = sample_summed_max_normalized_ratio_dict
+
+
+    def set_variable_nucleotides_table_entries(self):
+        """Variable nucleotides in the profile databases are those with predicted
+        modification-induced substitutions, not single nucleotide variants. Subs are determined from
+        specific coverage and are currently only reported in the specific coverage profile database.
+        (Therefore, `anvi-interactive` does not display subs with "combined" or "summed" coverage
+        profile databases.)"""
         entries = []
         for sample_id in self.trnaseq_db_sample_ids:
-            for i, seed_seq in enumerate(self.seed_seqs):
-                specific_covs = seed_seq.sample_specific_covs_dict[sample_id]
-                specific_nt_cov_arrays = seed_seq.sample_specific_nt_covs_dict[sample_id]
-                for pos in seed_seq.sample_mod_positions_dict[sample_id]:
-                    total_cov = specific_covs[pos]
-                    specific_nt_covs = [arr[pos] for arr in specific_nt_cov_arrays]
-                    max_nt_cov = max(specific_nt_covs)
-                    sorted_nt_covs = sorted(zip(UNAMBIG_NTS, specific_nt_covs), key=lambda x: -x[1])
+            for seed_num, seed in enumerate(self.seeds):
+                spec_covs = seed.sample_spec_covs_dict[sample_id]
+                spec_nt_cov_arrays = seed.sample_spec_nt_covs_dict[sample_id]
+                for pos in seed.sample_sub_positions_dict[sample_id]:
+                    total_cov = spec_covs[pos]
+                    spec_nt_covs = [arr[pos] for arr in spec_nt_cov_arrays]
+                    max_nt_cov = max(spec_nt_covs)
+                    sorted_nt_covs = sorted(zip(UNAMBIG_NTS, spec_nt_covs), key=lambda nt_item: -nt_item[1])
                     ref_nt = sorted_nt_covs[0][0]
                     secondary_nt = sorted_nt_covs[1][0]
                     entries.append((sample_id,
-                                    seed_seq.name + '_split_00001',
+                                    seed.name + '_split_00001',
                                     pos, # Position in split
                                     pos, # Position in contig
-                                    i, # Corresponding gene call
+                                    seed_num, # Corresponding gene call
                                     1, # In noncoding gene call
                                     0, # In coding gene call
                                     0, # Base position in codon (0 for noncoding gene call)
@@ -6585,26 +6891,26 @@ def set_variable_nts_table_entries(self):
                                     1 - max_nt_cov / total_cov, # Departure from reference
                                     ref_nt + secondary_nt, # Competing nts (top 2)
                                     ref_nt,
-                                    specific_nt_covs[0], # A coverage
-                                    specific_nt_covs[1], # C coverage
-                                    specific_nt_covs[2], # G coverage
-                                    specific_nt_covs[3], # T coverage
+                                    spec_nt_covs[0], # A coverage
+                                    spec_nt_covs[1], # C coverage
+                                    spec_nt_covs[2], # G coverage
+                                    spec_nt_covs[3], # T coverage
                                     0))
         self.variable_nts_table_entries = entries
 
 
     def set_indels_table_entries(self):
         """Indels are determined separately from specific and nonspecific coverages."""
-        specific_entries = []
-        nonspecific_entries = []
+        spec_entries = []
+        nonspec_entries = []
         summed_entries = []
         min_indel_fraction = self.min_indel_fraction
         for sample_id in self.trnaseq_db_sample_ids:
-            for seed_seq_index, seed_seq in enumerate(self.seed_seqs):
-                insert_info = seed_seq.sample_insert_dict[sample_id]
-                del_info = seed_seq.sample_del_dict[sample_id]
-                spec_covs = seed_seq.sample_specific_covs_dict[sample_id]
-                nonspec_covs = seed_seq.sample_nonspecific_covs_dict[sample_id]
+            for seed_num, seed in enumerate(self.seeds):
+                insert_info = seed.sample_insert_dict[sample_id]
+                del_info = seed.sample_del_dict[sample_id]
+                spec_covs = seed.sample_spec_covs_dict[sample_id]
+                nonspec_covs = seed.sample_nonspec_covs_dict[sample_id]
 
                 for insert_start, insert_string, insert_spec_cov, insert_nonspec_cov in insert_info:
                     spec_cov = (spec_covs[insert_start] + spec_covs[insert_start + 1]) / 2
@@ -6613,61 +6919,61 @@ def set_indels_table_entries(self):
                     # but not the reference nucleotide.
                     insert_freq = 1 if spec_cov == 0 else insert_spec_cov / spec_cov
                     if insert_freq >= min_indel_fraction:
-                        specific_entries.append((sample_id,
-                                                 seed_seq.name + '_split_00001',
-                                                 insert_start, # Position in split
-                                                 insert_start, # Position in contig
-                                                 seed_seq_index, # Corresponding gene call
-                                                 1, # In noncoding gene call
-                                                 0, # In coding gene call
-                                                 0, # Base position in codon (0 for noncoding gene call)
-                                                 -1, # Codon order in gene (-1 for noncoding gene call)
-                                                 0, # Coverage outlier in split (0 or 1)
-                                                 0, # Coverage outlier in contig (0 or 1)
-                                                 seed_seq.seq_string[insert_start], # Reference nt
-                                                 'INS', # Type of indel
-                                                 insert_string, # Indel sequence ('' for deletion)
-                                                 len(insert_string), # Indel length
-                                                 insert_spec_cov, # Deletion count (coverage)
-                                                 spec_cov)) # Reference sequence coverage
+                        spec_entries.append((sample_id,
+                                             seed.name + '_split_00001',
+                                             insert_start, # Position in split
+                                             insert_start, # Position in contig
+                                             seed_num, # Corresponding gene call
+                                             1, # In noncoding gene call
+                                             0, # In coding gene call
+                                             0, # Base position in codon (0 for noncoding gene call)
+                                             -1, # Codon order in gene (-1 for noncoding gene call)
+                                             0, # Coverage outlier in split (0 or 1)
+                                             0, # Coverage outlier in contig (0 or 1)
+                                             seed.string[insert_start], # Reference nt
+                                             'INS', # Type of indel
+                                             insert_string, # Indel sequence ('' for deletion)
+                                             len(insert_string), # Indel length
+                                             insert_spec_cov, # Deletion count (coverage)
+                                             spec_cov)) # Reference sequence coverage
 
                     nonspec_cov = (nonspec_covs[insert_start] + nonspec_covs[insert_start + 1]) / 2
                     insert_freq = 1 if nonspec_cov == 0 else insert_nonspec_cov / nonspec_cov
                     if insert_freq >= min_indel_fraction:
-                        nonspecific_entries.append((sample_id,
-                                                    seed_seq.name + '_split_00001',
-                                                    insert_start,
-                                                    insert_start,
-                                                    seed_seq_index,
-                                                    1,
-                                                    0,
-                                                    0,
-                                                    -1,
-                                                    0,
-                                                    0,
-                                                    seed_seq.seq_string[insert_start],
-                                                    'INS',
-                                                    insert_string,
-                                                    len(insert_string),
-                                                    insert_nonspec_cov,
-                                                    nonspec_cov))
+                        nonspec_entries.append((sample_id,
+                                                seed.name + '_split_00001',
+                                                insert_start,
+                                                insert_start,
+                                                seed_num,
+                                                1,
+                                                0,
+                                                0,
+                                                -1,
+                                                0,
+                                                0,
+                                                seed.string[insert_start],
+                                                'INS',
+                                                insert_string,
+                                                len(insert_string),
+                                                insert_nonspec_cov,
+                                                nonspec_cov))
 
                     sum_cov = spec_cov + nonspec_cov
                     insert_sum_cov = insert_spec_cov + insert_nonspec_cov
                     insert_freq = 1 if sum_cov == 0 else insert_sum_cov / sum_cov
                     if insert_freq >= min_indel_fraction:
                         summed_entries.append((sample_id,
-                                               seed_seq.name + '_split_00001',
+                                               seed.name + '_split_00001',
                                                insert_start,
                                                insert_start,
-                                               seed_seq_index,
+                                               seed_num,
                                                1,
                                                0,
                                                0,
                                                -1,
                                                0,
                                                0,
-                                               seed_seq.seq_string[insert_start],
+                                               seed.string[insert_start],
                                                'INS',
                                                insert_string,
                                                len(insert_string),
@@ -6678,79 +6984,79 @@ def set_indels_table_entries(self):
                     spec_cov = spec_covs[del_start: del_start + del_length].mean()
                     del_freq = 1 if spec_cov == 0 else del_spec_cov / spec_cov
                     if del_freq >= min_indel_fraction:
-                        specific_entries.append((sample_id,
-                                                 seed_seq.name + '_split_00001',
-                                                 del_start, # Position in split
-                                                 del_start, # Position in contig
-                                                 seed_seq_index, # Corresponding gene call
-                                                 1, # In noncoding gene call
-                                                 0, # In coding gene call
-                                                 0, # Base position in codon (0 for noncoding gene call)
-                                                 -1, # Codon order in gene (-1 for noncoding gene call)
-                                                 0, # Coverage outlier in split (0 or 1)
-                                                 0, # Coverage outlier in contig (0 or 1)
-                                                 seed_seq.seq_string[del_start], # Reference nt
-                                                 'DEL', # Type of indel
-                                                 '', # Indel sequence ('' for deletion)
-                                                 del_length, # Indel length
-                                                 del_spec_cov, # Deletion count (coverage)
-                                                 spec_cov)) # Reference sequence coverage
+                        spec_entries.append((sample_id,
+                                             seed.name + '_split_00001',
+                                             del_start, # Position in split
+                                             del_start, # Position in contig
+                                             seed_num, # Corresponding gene call
+                                             1, # In noncoding gene call
+                                             0, # In coding gene call
+                                             0, # Base position in codon (0 for noncoding gene call)
+                                             -1, # Codon order in gene (-1 for noncoding gene call)
+                                             0, # Coverage outlier in split (0 or 1)
+                                             0, # Coverage outlier in contig (0 or 1)
+                                             seed.string[del_start], # Reference nt
+                                             'DEL', # Type of indel
+                                             '', # Indel sequence ('' for deletion)
+                                             del_length, # Indel length
+                                             del_spec_cov, # Deletion count (coverage)
+                                             spec_cov)) # Reference sequence coverage
 
                     nonspec_cov = nonspec_covs[del_start: del_start + del_length].mean()
                     del_freq = 1 if nonspec_cov == 0 else del_nonspec_cov / nonspec_cov
                     if del_freq >= min_indel_fraction:
-                        nonspecific_entries.append((sample_id,
-                                                    seed_seq.name + '_split_00001',
-                                                    del_start,
-                                                    del_start,
-                                                    seed_seq_index,
-                                                    1,
-                                                    0,
-                                                    0,
-                                                    -1,
-                                                    0,
-                                                    0,
-                                                    seed_seq.seq_string[del_start],
-                                                    'DEL',
-                                                    '',
-                                                    del_length,
-                                                    del_nonspec_cov,
-                                                    nonspec_cov))
+                        nonspec_entries.append((sample_id,
+                                                seed.name + '_split_00001',
+                                                del_start,
+                                                del_start,
+                                                seed_num,
+                                                1,
+                                                0,
+                                                0,
+                                                -1,
+                                                0,
+                                                0,
+                                                seed.string[del_start],
+                                                'DEL',
+                                                '',
+                                                del_length,
+                                                del_nonspec_cov,
+                                                nonspec_cov))
 
                     sum_cov = spec_cov + nonspec_cov
                     del_sum_cov = del_spec_cov + del_nonspec_cov
                     del_freq = 1 if sum_cov == 0 else del_sum_cov / sum_cov
                     if del_freq >= min_indel_fraction:
                         summed_entries.append((sample_id,
-                                               seed_seq.name + '_split_00001',
+                                               seed.name + '_split_00001',
                                                del_start,
                                                del_start,
-                                               seed_seq_index,
+                                               seed_num,
                                                1,
                                                0,
                                                0,
                                                -1,
                                                0,
                                                0,
-                                               seed_seq.seq_string[del_start],
+                                               seed.string[del_start],
                                                'DEL',
                                                '',
                                                del_length,
                                                del_sum_cov,
                                                sum_cov))
-        self.specific_indels_table_entries = specific_entries
-        self.nonspecific_indels_table_entries = nonspecific_entries
+        self.spec_indels_table_entries = spec_entries
+        self.nonspec_indels_table_entries = nonspec_entries
         self.summed_indels_table_entries = summed_entries
 
 
-    def gen_profile_db(self, db_cov_type):
+    def generate_profile_database(self, db_cov_type):
         self.progress.new(f"Generating {db_cov_type} profile db")
         self.progress.update("...")
 
         if db_cov_type == 'specific':
-            profile_db_path = self.specific_profile_db_path
+            profile_db_path = self.spec_profile_db_path
         elif db_cov_type == 'nonspecific':
-            profile_db_path = self.nonspecific_profile_db_path
+            profile_db_path = self.nonspec_profile_db_path
         elif db_cov_type == 'combined':
             profile_db_path = self.combined_profile_db_path
         elif db_cov_type == 'summed':
@@ -6762,44 +7068,49 @@ def gen_profile_db(self, db_cov_type):
         profile_db = dbops.ProfileDatabase(profile_db_path)
         profile_db.touch()
 
+        set_meta_value = profile_db.db.set_meta_value
         # Profile database meta-values are set in a parallel fashion to `merger.MultipleRuns.merge`.
-        profile_db.db.set_meta_value('creation_date', time.time())
-        profile_db.db.set_meta_value('db_type', 'profile')
+        set_meta_value('creation_date', time.time())
+        set_meta_value('db_type', 'profile')
+        set_meta_value('db_variant', 'trnaseq')
 
         contigs_db = dbops.ContigsDatabase(self.contigs_db_path, quiet=True)
-        profile_db.db.set_meta_value('contigs_db_hash', contigs_db.meta['contigs_db_hash'])
-        profile_db.db.set_meta_value('sample_id', contigs_db.meta['project_name'])
+        set_meta_value('contigs_db_hash', contigs_db.meta['contigs_db_hash'])
+        set_meta_value('sample_id', contigs_db.meta['project_name'])
         contigs_db.disconnect()
 
         if db_cov_type == 'combined':
-            profile_db.db.set_meta_value('samples', ', '.join([sample_id + '_' + cov_type
-                                                               for sample_id in self.trnaseq_db_sample_ids
-                                                               for cov_type in ('specific', 'nonspecific')]))
+            set_meta_value('samples', ', '.join([sample_id + '_' + cov_type
+                                                 for sample_id in self.trnaseq_db_sample_ids
+                                                 for cov_type in ('specific', 'nonspecific')]))
         else:
-            profile_db.db.set_meta_value('samples', ', '.join([sample_id for sample_id in self.trnaseq_db_sample_ids]))
-        # The total number of reads mapped is not calculated, as that would require deconvoluting
-        # the number of reads that mapped nonspecifically. Also, the total number of mapped reads is
-        # less informative here than in metagenomics, since they vary greatly in length.
-        # profile_db.db.set_meta_value('total_reads_mapped', -1)
-        profile_db.db.set_meta_value('merged', True)
-        profile_db.db.set_meta_value('blank', False)
-        profile_db.db.set_meta_value('default_view', 'mean_coverage')
-        profile_db.db.set_meta_value('min_contig_length', 1)
-        profile_db.db.set_meta_value('max_contig_length', MAXSIZE)
-        profile_db.db.set_meta_value('SNVs_profiled', False)
-        profile_db.db.set_meta_value('SCVs_profiled', False)
-        profile_db.db.set_meta_value('INDELs_profiled', False)
-        profile_db.db.set_meta_value('num_contigs', len(self.seed_seqs))
-        profile_db.db.set_meta_value('num_splits', len(self.seed_seqs))
-        profile_db.db.set_meta_value('total_length', self.total_seed_length)
-        profile_db.db.set_meta_value('min_coverage_for_variability', 1)
-        profile_db.db.set_meta_value('min_indel_fraction', 0)
-        profile_db.db.set_meta_value('report_variability_full', False)
-        profile_db.db.set_meta_value('description', self.descrip if self.descrip else '_No description is provided_')
-        # profile_db.db.set_meta_value('min_percent_identity', -1)
-
-        # Whereas variability in metagenomics refers to SNVs, here it refers to modifications.
-        # Modifications are only identified from specific coverage.
+            set_meta_value('samples', ', '.join([sample_id for sample_id in self.trnaseq_db_sample_ids]))
+        if db_cov_type == 'specific':
+            set_meta_value('sample_total_mean_specific_coverage', ', '.join(map(str, [round(self.sample_total_mean_spec_cov_dict[sample_id], 1)
+                                                                                      for sample_id in self.trnaseq_db_sample_ids])))
+            set_meta_value('sample_total_discriminator_specific_coverage', ', '.join(map(str, [self.sample_total_discriminator_spec_cov_dict[sample_id]
+                                                                                               for sample_id in self.trnaseq_db_sample_ids])))
+        # The total number of reads "mapped" is not calculated due to various complexities.
+        # set_meta_value('total_reads_mapped', -1)
+        set_meta_value('merged', True)
+        set_meta_value('blank', False)
+        set_meta_value('default_view', 'mean_coverage')
+        set_meta_value('min_contig_length', 1)
+        set_meta_value('max_contig_length', MAXSIZE)
+        set_meta_value('SNVs_profiled', False)
+        set_meta_value('SCVs_profiled', False)
+        set_meta_value('INDELs_profiled', False)
+        set_meta_value('num_contigs', len(self.seeds))
+        set_meta_value('num_splits', len(self.seeds))
+        set_meta_value('total_length', self.total_seed_length)
+        set_meta_value('min_coverage_for_variability', 1)
+        set_meta_value('min_indel_fraction', 0)
+        set_meta_value('report_variability_full', False)
+        set_meta_value('description', self.descrip if self.descrip else '_No description is provided_')
+        # set_meta_value('min_percent_identity', -1)
+
+        # Whereas variability in metagenomics refers to SNVs, here it refers to inferred
+        # modification-induced substitutions. Subs are only identified from specific coverage.
         if db_cov_type == 'specific':
             profile_db.db._exec_many('''INSERT INTO %s VALUES (%s)'''
                                      % ('variable_nucleotides', ','.join('?' * len(tables.variable_nts_table_structure))),
@@ -6807,44 +7118,44 @@ def gen_profile_db(self, db_cov_type):
             profile_db.db.commit()
 
         if db_cov_type == 'specific' or db_cov_type == 'nonspecific' or db_cov_type == 'summed':
-            tables_to_create = [('sample_mean_' + db_cov_type + '_cov_dict', 'mean_coverage'),
-                                ('sample_std_' + db_cov_type + '_cov_dict', 'std_coverage'),
-                                ('sample_' + db_cov_type + '_abundances_dict', 'abundance'),
-                                ('sample_' + db_cov_type + '_detection_dict', 'detection'),
-                                ('sample_mean_Q2Q3_' + db_cov_type + '_cov_dict', 'mean_coverage_Q2Q3')]
+            tables_to_create = [('sample_mean_' + db_cov_type.replace('specific', 'spec') + '_cov_dict', 'mean_coverage'),
+                                ('sample_std_' + db_cov_type.replace('specific', 'spec') + '_cov_dict', 'std_coverage'),
+                                ('sample_' + db_cov_type.replace('specific', 'spec') + '_abund_dict', 'abundance'),
+                                ('sample_' + db_cov_type.replace('specific', 'spec') + '_detection_dict', 'detection'),
+                                ('sample_mean_Q2Q3_' + db_cov_type.replace('specific', 'spec') + '_cov_dict', 'mean_coverage_Q2Q3')]
 
             for attr, table_basename in tables_to_create:
                 data_dict = self.get_specific_nonspecific_or_summed_data_dict(attr)
-                self.create_specific_nonspecific_or_summed_contigs_and_splits_tables(profile_db_path, table_basename, data_dict)
-
-            # Variability is the measure of the frequency of modification-induced substitutions in
-            # seeds. Subs are only calculated from specific coverage -- nonspecific coverage is ignored.
+                self.create_contigs_and_splits_tables(profile_db_path, table_basename, data_dict)
+            # Variability is the measure of the frequency of inferred modification-induced
+            # substitutions in seeds. Subs are only calculated from specific coverage -- nonspecific
+            # coverage is ignored.
             variability_data_dict = self.get_specific_nonspecific_or_summed_data_dict('sample_variability_dict')
-            self.create_specific_nonspecific_or_summed_contigs_and_splits_tables(profile_db_path, 'variability', variability_data_dict)
+            self.create_contigs_and_splits_tables(profile_db_path, 'variability', data_dict)
 
             profile_db.db._exec_many('''INSERT INTO %s VALUES (%s)'''
                                      % ('indels', ','.join('?' * len(tables.indels_table_structure))),
-                                     getattr(self, db_cov_type + '_indels_table_entries'))
+                                     getattr(self, db_cov_type.replace('specific', 'spec') + '_indels_table_entries'))
         elif db_cov_type == 'combined':
-            tables_to_create = [('sample_mean_specific_cov_dict', 'sample_mean_nonspecific_cov_dict', 'mean_coverage'),
-                                ('sample_std_specific_cov_dict', 'sample_std_nonspecific_cov_dict', 'std_coverage'),
-                                ('sample_specific_abundances_dict', 'sample_nonspecific_abundances_dict', 'abundance'),
-                                ('sample_specific_detection_dict', 'sample_nonspecific_detection_dict', 'detection'),
-                                ('sample_mean_Q2Q3_specific_cov_dict', 'sample_mean_Q2Q3_nonspecific_cov_dict', 'mean_coverage_Q2Q3')]
-
-            for specific_attr, nonspecific_attr, table_basename in tables_to_create:
-                data_dict = self.get_combined_data_dict(specific_attr, nonspecific_attr)
-                self.create_combined_contigs_and_splits_tables(profile_db_path, table_basename, data_dict)
-
-            # Variability is the measure of the frequency of modification-induced substitutions in
-            # seeds. Subs are only calculated from specific coverage -- nonspecific coverage is ignored.
+            tables_to_create = [('sample_mean_spec_cov_dict', 'sample_mean_nonspec_cov_dict', 'mean_coverage'),
+                                ('sample_std_spec_cov_dict', 'sample_std_nonspec_cov_dict', 'std_coverage'),
+                                ('sample_spec_abund_dict', 'sample_nonspec_abund_dict', 'abundance'),
+                                ('sample_spec_detection_dict', 'sample_nonspec_detection_dict', 'detection'),
+                                ('sample_mean_Q2Q3_spec_cov_dict', 'sample_mean_Q2Q3_nonspec_cov_dict', 'mean_coverage_Q2Q3')]
+
+            for spec_attr, nonspec_attr, table_basename in tables_to_create:
+                data_dict = self.get_combined_data_dict(spec_attr, nonspec_attr)
+                self.create_contigs_and_splits_tables(profile_db_path, table_basename, data_dict)
+            # Variability is the measure of the frequency of inferred modification-induced
+            # substitutions in seeds. Subs are only calculated from specific coverage -- nonspecific
+            # coverage is ignored.
             variability_data_dict = self.get_combined_data_dict('sample_variability_dict', 'sample_variability_dict')
-            self.create_combined_contigs_and_splits_tables(profile_db_path, 'variability', variability_data_dict)
+            self.create_contigs_and_splits_tables(profile_db_path, 'variability', data_dict)
 
             combined_indels_table_entries = []
-            for entry in self.specific_indels_table_entries:
+            for entry in self.spec_indels_table_entries:
                 combined_indels_table_entries.append((entry[0] + '_specific', ) + entry[1: ])
-            for entry in self.nonspecific_indels_table_entries:
+            for entry in self.nonspec_indels_table_entries:
                 combined_indels_table_entries.append((entry[0] + '_nonspecific', ) + entry[1: ])
             profile_db.db._exec_many('''INSERT INTO %s VALUES (%s)'''
                                      % ('indels', ','.join('?' * len(tables.indels_table_structure))),
@@ -6856,15 +7167,15 @@ def gen_profile_db(self, db_cov_type):
         # Add layers for anticodon and corresponding amino acid.
         items_additional_data_table = miscdata.MiscDataTableFactory(argparse.Namespace(profile_db=profile_db_path, target_data_table='items'))
         data_dict = {}
-        for seed_seq in self.seed_seqs:
-            data_dict[seed_seq.name + '_split_00001'] = {'anticodon': seed_seq.anticodon_seq_string,
-                                                         'amino_acid': ANTICODON_AA_DICT[seed_seq.anticodon_seq_string]}
+        for seed in self.seeds:
+            data_dict[seed.name + '_split_00001'] = {'anticodon': seed.anticodon_string,
+                                                     'amino_acid': ANTICODON_AA_DICT[seed.anticodon_string]}
         items_additional_data_table.add(data_dict, ['anticodon', 'amino_acid'])
 
         # Cluster tRNA seeds to form the central dendrogram in anvi-interactive.
         dbops.do_hierarchical_clustering_of_items(profile_db_path,
                                                   constants.clustering_configs['trnaseq'],
-                                                  [seed_seq.name + '_split_00001' for seed_seq in self.seed_seqs],
+                                                  [seed.name + '_split_00001' for seed in self.seeds],
                                                   {'CONTIGS.db': self.contigs_db_path, 'PROFILE.db': profile_db_path},
                                                   input_directory=os.path.dirname(profile_db_path),
                                                   default_clustering_config=constants.trnaseq_default,
@@ -6872,7 +7183,7 @@ def gen_profile_db(self, db_cov_type):
                                                   linkage=self.linkage,
                                                   run=self.run,
                                                   progress=self.progress)
-        profile_db.db.set_meta_value('items_ordered', True)
+        set_meta_value('items_ordered', True)
         profile_db.db.disconnect()
 
         # Cluster samples by "view" data to find possible sample layer orderings.
@@ -6890,50 +7201,44 @@ def gen_profile_db(self, db_cov_type):
             except:
                 failed_attempts.append(essential_field)
         if not len(layer_orders_data_dict):
-            self.run.warning("This may or may not be important: anvi'o attempted to generate orders for your "
-                             "samples based on the view data, however, it failed :/")
+            self.run.warning("This may or may not be important: "
+                             "anvi'o attempted to generate orders for your samples based on the view data. It failed :/")
             return
         if len(failed_attempts):
-            self.run.warning("While anvi'o was trying to generate clusterings of samples based on view data "
-                             f"available in the {db_cov_type} profile, clustering of some of the essential data "
-                             "failed. It is likely not a very big deal, but you shall be the judge of it. "
-                             "Anvi'o now proceeds to store layers order information for those view items "
-                             "the clustering in fact worked. Here is the list of stuff that failed: '%s'"\
-                              % (', '.join(failed_attempts)))
+            self.run.warning(f"While anvi'o was trying to generate clusterings of samples based on view data available in the {db_cov_type} profile, "
+                             "clustering of some of the essential data failed. "
+                             "It is likely not a very big deal, but you shall be the judge of it. "
+                             "Anvi'o now proceeds to store layers order information for those view items the clustering in fact worked. "
+                             f"Here is the list of stuff that failed: '{', '.join(failed_attempts)}'")
         # Add the layer orders quietly.
         TableForLayerOrders(argparse.Namespace(profile_db=profile_db_path), r=terminal.Run(verbose=False)).add(layer_orders_data_dict)
 
 
-    def get_specific_nonspecific_or_summed_data_dict(self, seed_seq_attr):
-        """Get data from seed sequences to generate a table in a specific, nonspecific, or summed
-        profile database."""
+    def get_specific_nonspecific_or_summed_data_dict(self, seed_attr):
+        """Get data from seeds to generate a table in a specific, nonspecific, or summed profile
+        database."""
         data_dict = {}
-        for seed_seq in self.seed_seqs:
-            seed_seq_name = seed_seq.name
-            seed_seq_split_name = seed_seq_name + '_split_00001'
-            data_dict[seed_seq_split_name] = {}
+        for seed in self.seeds:
+            data_dict[seed.name + '_split_00001'] = sample_dict = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                data_dict[seed_seq_split_name][sample_id] = getattr(seed_seq, seed_seq_attr)[sample_id]
+                sample_dict[sample_id] = getattr(seed, seed_attr)[sample_id]
         return data_dict
 
 
-    def get_combined_data_dict(self, specific_seed_seq_attr, nonspecific_seed_seq_attr):
-        """Get data from seed sequences to generate a table in a combined profile database."""
+    def get_combined_data_dict(self, spec_seed_attr, nonspec_seed_attr):
+        """Get data from seeds to generate a table in a combined profile database."""
         data_dict = {}
-        for seed_seq in self.seed_seqs:
-            seed_seq_name = seed_seq.name
-            seed_seq_split_name = seed_seq_name + '_split_00001'
-            data_dict[seed_seq_name + '_split_00001'] = {}
+        for seed in self.seeds:
+            data_dict[seed.name + '_split_00001'] = sample_dict = {}
             for sample_id in self.trnaseq_db_sample_ids:
-                data_dict[seed_seq_split_name][sample_id + '_specific'] = getattr(seed_seq, specific_seed_seq_attr)[sample_id]
-                data_dict[seed_seq_split_name][sample_id + '_nonspecific'] = getattr(seed_seq, nonspecific_seed_seq_attr)[sample_id]
+                sample_dict[sample_id + '_specific'] = getattr(seed, spec_seed_attr)[sample_id]
+                sample_dict[sample_id + '_nonspecific'] = getattr(seed, nonspec_seed_attr)[sample_id]
         return data_dict
 
 
-    def create_specific_nonspecific_or_summed_contigs_and_splits_tables(self, profile_db_path, table_basename, data_dict):
-        """Create a pair of tables in a specific, nonspecific, or summed profile database. Contigs
-        and splits tables contain the same information since tRNA, unlike a metagenomic contig, is
-        not long enough to be split."""
+    def create_contigs_and_splits_tables(self, profile_db_path, table_basename, data_dict):
+        """Create a pair of tables in a profile database. Contigs and splits tables contain the same
+        information since tRNA, unlike a metagenomic contig, is not long enough to be split."""
         TablesForViews(profile_db_path).create_new_view(
             view_data=data_dict,
             table_name=table_basename + '_contigs',
@@ -6946,26 +7251,1161 @@ def create_specific_nonspecific_or_summed_contigs_and_splits_tables(self, profil
             from_matrix_form=True)
 
 
-    def create_combined_contigs_and_splits_tables(self, profile_db_path, table_basename, data_dict):
-        """Create a pair of tables in a combined profile database. Contigs and splits tables contain
-        the same information since tRNA, unlike a metagenomic contig, is not long enough to be
-        split."""
-        TablesForViews(profile_db_path).create_new_view(
-            view_data=data_dict,
-            table_name=table_basename + '_contigs',
-            view_name=None,
-            from_matrix_form=True)
-        TablesForViews(profile_db_path).create_new_view(
-            view_data=data_dict,
-            table_name=table_basename + '_splits',
-            view_name=table_basename,
-            from_matrix_form=True)
-
-
-def trnaseq_db_loader(input_queue, output_queue, db_converter):
-    """This client for `DatabaseConverter.load_trnaseq_db_seq_info` is located outside the
-    `DatabaseConverter` class to allow multiprocessing."""
+def trnaseq_db_loader(input_queue, output_queue_Nu_summaries, output_queue_M_summaries, db_merger):
+    """This client for `DatabaseMerger.load_trnaseq_database_sequence_summaries` is located outside the
+    `DatabaseMerger` class to allow multiprocessing."""
     while True:
         trnaseq_db_path = input_queue.get()
-        unmod_norm_seq_summaries, mod_seq_summaries = db_converter.load_trnaseq_db_seq_info(trnaseq_db_path)
-        output_queue.put((trnaseq_db_path, unmod_norm_seq_summaries, mod_seq_summaries))
+        summaries_Nu, summaries_M = db_merger.load_trnaseq_database_sequence_summaries(trnaseq_db_path)
+        for summary_Nu in summaries_Nu:
+            output_queue_Nu_summaries.put((trnaseq_db_path, summary_Nu))
+        for summary_M in summaries_M:
+            output_queue_M_summaries.put((trnaseq_db_path, summary_M))
+        output_queue_Nu_summaries.put(trnaseq_db_path)
+        output_queue_M_summaries.put(trnaseq_db_path)
+
+
+class ResultTabulator(object):
+
+    def __init__(self, args, run=terminal.Run(), progress=terminal.Progress()):
+        self.run = run
+        self.progress = progress
+
+        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
+        # Group 1: MANDATORY
+        self.contigs_db_path = A('contigs_db')
+        self.spec_profile_db_path = A('specific_profile_db')
+        # Group 2: OPTIONAL
+        self.nonspec_profile_db_path = A('nonspecific_profile_db')
+        self.out_dir = os.path.abspath(A('output_dir')) if A('output_dir') else os.path.dirname(self.contigs_db_path)
+        self.overwrite_out_dest = A('overwrite_output_destinations')
+
+        if not self.contigs_db_path:
+            raise ConfigError("Please provide the path to a `trnaseq`-variant contigs database using `--contigs-db` or `-c`.")
+        if not self.spec_profile_db_path:
+            raise ConfigError("Please provide the path to a profile database containing specific coverage information on tRNA seeds using `--specific-profile-db` or `-s`.")
+
+
+    def process(self):
+        self.sanity_check()
+        self.contigs_db = dbops.ContigsDatabase(self.contigs_db_path, quiet=True)
+        self.contig_names = self.contigs_db.db.get_single_column_from_table(tables.genes_in_contigs_table_name, 'contig')
+
+        self.set_ordinal_features()
+        self.generate_seed_output()
+        self.generate_modification_output()
+
+        self.contigs_db.disconnect()
+
+
+    def sanity_check(self):
+        """Check `anvi-tabulate-trnaseq` arguments."""
+        self.contigs_db_info = DBInfo(self.contigs_db_path, expecting='contigs')
+        if self.contigs_db_info.variant != 'trnaseq':
+            raise ConfigError("The input contigs database is not of the `trnaseq` variant...")
+
+        self.spec_profile_db_info = DBInfo(self.spec_profile_db_path, expecting='profile')
+        self.nonspec_profile_db_info = DBInfo(self.nonspec_profile_db_path, expecting='profile') if self.nonspec_profile_db_path else None
+        self.spec_aux_db_path = os.path.join(os.path.dirname(self.spec_profile_db_path), 'AUXILIARY-DATA.db')
+        self.spec_aux_db_info = DBInfo(self.spec_aux_db_path, expecting='auxiliary data for coverages')
+        self.nonspec_aux_db_path = os.path.join(os.path.dirname(self.nonspec_profile_db_path), 'AUXILIARY-DATA.db') if self.nonspec_profile_db_path else None
+        if self.nonspec_aux_db_path:
+            nonspec_aux_db_info = DBInfo(self.nonspec_aux_db_path, expecting='auxiliary data for coverages')
+
+        filesnpaths.is_output_dir_writable(self.out_dir)
+
+        self.spec_seed_out_path = os.path.join(self.out_dir, 'SEEDS_SPECIFIC.txt')
+        filesnpaths.is_output_file_writable(self.spec_seed_out_path, ok_if_exists=self.overwrite_out_dest)
+        if os.path.exists(self.spec_seed_out_path) and self.overwrite_out_dest:
+            os.remove(self.spec_seed_out_path)
+
+        self.nonspec_seed_out_path = os.path.join(self.out_dir, 'SEEDS_NONSPECIFIC.txt') if self.nonspec_profile_db_path else None
+        if self.nonspec_seed_out_path:
+            filesnpaths.is_output_file_writable(self.nonspec_seed_out_path, ok_if_exists=self.overwrite_out_dest)
+            if os.path.exists(self.nonspec_seed_out_path) and self.overwrite_out_dest:
+                os.remove(self.nonspec_seed_out_path)
+
+        self.mod_out_path = os.path.join(self.out_dir, 'MODIFICATIONS.txt')
+        filesnpaths.is_output_file_writable(self.mod_out_path, ok_if_exists=self.overwrite_out_dest)
+        if os.path.exists(self.mod_out_path) and self.overwrite_out_dest:
+            os.remove(self.mod_out_path)
+
+
+    def set_ordinal_features(self):
+        # The term "feature" is used loosely in the following dict, as it separates out "subfeatures" of the
+        # features just listed, e.g., `d_loop` is split into `d_loop_prealpha`, `d_loop_alpha`, etc.
+        self.pretty_ordinal_extrema_dict = OrderedDict([('trna_his_position_0_start', 101),
+                                                        ('trna_his_position_0_stop', 101),
+                                                        ('fiveprime_acceptor_stem_sequence_start', 201),
+                                                        ('fiveprime_acceptor_stem_sequence_stop', 207),
+                                                        ('position_8_start', 301),
+                                                        ('position_8_stop', 301),
+                                                        ('position_9_start', 401),
+                                                        ('position_9_stop', 401),
+                                                        ('fiveprime_d_stem_sequence_start', 501),
+                                                        ('fiveprime_d_stem_sequence_stop', 504),
+                                                        ('d_loop_prealpha_start', 601),
+                                                        ('d_loop_prealpha_stop', 602),
+                                                        ('d_loop_alpha_start', 701),
+                                                        ('d_loop_alpha_stop', 703), # variable: default α length range 1-3
+                                                        ('d_loop_postalpha_start', 801),
+                                                        ('d_loop_postalpha_stop', 802),
+                                                        ('d_loop_beta_start', 901),
+                                                        ('d_loop_beta_stop', 903), # variable: default β length range 1-3
+                                                        ('d_loop_postbeta_start', 1001),
+                                                        ('d_loop_postbeta_stop', 1001),
+                                                        ('threeprime_d_stem_sequence_start', 1101),
+                                                        ('threeprime_d_stem_sequence_stop', 1104),
+                                                        ('position_26_start', 1201),
+                                                        ('position_26_stop', 1201),
+                                                        ('fiveprime_anticodon_stem_sequence_start', 1301),
+                                                        ('fiveprime_anticodon_stem_sequence_stop', 1305),
+                                                        ('anticodon_loop_start', 1401),
+                                                        ('anticodon_loop_stop', 1407),
+                                                        ('threeprime_anticodon_stem_sequence_start', 1501),
+                                                        ('threeprime_anticodon_stem_sequence_stop', 1505),
+                                                        ('v_loop_start', 1601),
+                                                        ('v_loop_stop', 1623), # variable: default V loop length range 4-5; 9-23
+                                                        ('fiveprime_t_stem_sequence_start', 1701),
+                                                        ('fiveprime_t_stem_sequence_stop', 1705),
+                                                        ('t_loop_start', 1801),
+                                                        ('t_loop_stop', 1807),
+                                                        ('threeprime_t_stem_sequence_start', 1901),
+                                                        ('threeprime_t_stem_sequence_stop', 1905),
+                                                        ('threeprime_acceptor_stem_sequence_start', 2001),
+                                                        ('threeprime_acceptor_stem_sequence_stop', 2007),
+                                                        ('discriminator_start', 2101),
+                                                        ('discriminator_stop', 2101)])
+        self.ordinal_extrema_dict = ordinal_extrema_dict = OrderedDict()
+        self.ordinal_dict = ordinal_dict = OrderedDict()
+        rank = 1
+        for feature_item in zip(list(self.pretty_ordinal_extrema_dict.items())[::2],
+                                list(self.pretty_ordinal_extrema_dict.items())[1::2]):
+            ordinal_extrema_dict[feature_item[0][0]] = rank
+            ordinal_extrema_dict[feature_item[1][0]] = rank + feature_item[1][1] - feature_item[0][1]
+            feature_name = feature_item[0][0].split('_start')[0]
+            for feature_index in range(1, feature_item[1][1] - feature_item[0][1] + 2):
+                ordinal_dict[feature_name + '_' + str(feature_index)] = rank
+                rank += 1
+        self.reverse_ordinal_dict = OrderedDict([(rank, ordinal_name) for ordinal_name, rank in ordinal_dict.items()])
+
+        d_loop_alpha_entries = [('d_loop_alpha_' + str(feature_index), str(feature_index + 15)) for feature_index
+                                in range(1, ordinal_extrema_dict['d_loop_alpha_stop'] - ordinal_extrema_dict['d_loop_alpha_start'] + 2)]
+        if len(d_loop_alpha_entries) > 2:
+            d_loop_alpha_entries[2] = ('d_loop_alpha_3', '17a')
+        if len(d_loop_alpha_entries) > 3:
+            for entry_index, entry in d_loop_alpha_entries[3: ]:
+                d_loop_alpha_entries[entry_index] = (entry[0], '')
+        d_loop_beta_entries = [('d_loop_beta_' + str(feature_index), str(feature_index + 19)) for feature_index
+                                in range(1, ordinal_extrema_dict['d_loop_beta_stop'] - ordinal_extrema_dict['d_loop_beta_start'] + 2)]
+        if len(d_loop_beta_entries) > 1:
+            d_loop_beta_entries[1] = ('d_loop_beta_2', '20a')
+        if len(d_loop_beta_entries) > 2:
+            d_loop_beta_entries[2] = ('d_loop_beta_3', '20b')
+        if len(d_loop_beta_entries) > 3:
+            for entry_index, entry in d_loop_beta_entries[3: ]:
+                d_loop_beta_entries[entry_index] = (entry[0], '')
+        self.canonical_dict = OrderedDict([('trna_his_position_0_1', '0')] +
+                                          [('fiveprime_acceptor_stem_sequence_' + str(feature_index), str(feature_index)) for feature_index
+                                           in range(1, ordinal_extrema_dict['fiveprime_acceptor_stem_sequence_stop'] - ordinal_extrema_dict['fiveprime_acceptor_stem_sequence_start'] + 2)] +
+                                          [('position_8_1', '8'),
+                                           ('position_9_1', '9')] +
+                                          [('fiveprime_d_stem_sequence_' + str(feature_index), str(feature_index + 9)) for feature_index
+                                           in range(1, ordinal_extrema_dict['fiveprime_d_stem_sequence_stop'] - ordinal_extrema_dict['fiveprime_d_stem_sequence_start'] + 2)] +
+                                          [('d_loop_prealpha_' + str(feature_index), str(feature_index + 13)) for feature_index
+                                           in range(1, ordinal_extrema_dict['d_loop_prealpha_stop'] - ordinal_extrema_dict['d_loop_prealpha_start'] + 2)] +
+                                          d_loop_alpha_entries +
+                                          [('d_loop_postalpha_' + str(feature_index), str(feature_index + 17)) for feature_index
+                                           in range(1, ordinal_extrema_dict['d_loop_postalpha_stop'] - ordinal_extrema_dict['d_loop_postalpha_start'] + 2)] +
+                                          d_loop_beta_entries +
+                                          [('d_loop_postbeta_' + str(feature_index), str(feature_index + 20)) for feature_index
+                                           in range(1, ordinal_extrema_dict['d_loop_postbeta_stop'] - ordinal_extrema_dict['d_loop_postbeta_start'] + 2)] +
+                                          [('threeprime_d_stem_sequence_' + str(feature_index), str(feature_index + 21)) for feature_index
+                                           in range(1, ordinal_extrema_dict['threeprime_d_stem_sequence_stop'] - ordinal_extrema_dict['threeprime_d_stem_sequence_start'] + 2)] +
+                                          [('position_26_1', '26')] +
+                                          [('fiveprime_anticodon_stem_sequence_' + str(feature_index), str(feature_index + 26)) for feature_index
+                                           in range(1, ordinal_extrema_dict['fiveprime_anticodon_stem_sequence_stop'] - ordinal_extrema_dict['fiveprime_anticodon_stem_sequence_start'] + 2)] +
+                                          [('anticodon_loop_' + str(feature_index), str(feature_index + 31)) for feature_index
+                                           in range(1, ordinal_extrema_dict['anticodon_loop_stop'] - ordinal_extrema_dict['anticodon_loop_start'] + 2)] +
+                                          [('threeprime_anticodon_stem_sequence_' + str(feature_index), str(feature_index + 38)) for feature_index
+                                           in range(1, ordinal_extrema_dict['threeprime_anticodon_stem_sequence_stop'] - ordinal_extrema_dict['threeprime_anticodon_stem_sequence_start'] + 2)] +
+                                          [('v_loop_' + str(feature_index), '') for feature_index in range(1, ordinal_extrema_dict['v_loop_stop'] - ordinal_extrema_dict['v_loop_start'] + 2)] +
+                                          [('fiveprime_t_stem_sequence_' + str(feature_index), str(feature_index + 48)) for feature_index
+                                           in range(1, ordinal_extrema_dict['fiveprime_t_stem_sequence_stop'] - ordinal_extrema_dict['fiveprime_t_stem_sequence_start'] + 2)] +
+                                          [('t_loop_' + str(feature_index), str(feature_index + 53)) for feature_index
+                                           in range(1, ordinal_extrema_dict['t_loop_stop'] - ordinal_extrema_dict['t_loop_start'] + 2)] +
+                                          [('threeprime_t_stem_sequence_' + str(feature_index), str(feature_index + 60)) for feature_index
+                                           in range(1, ordinal_extrema_dict['threeprime_t_stem_sequence_stop'] - ordinal_extrema_dict['threeprime_t_stem_sequence_start'] + 2)] +
+                                          [('threeprime_acceptor_stem_sequence_' + str(feature_index), str(feature_index + 65)) for feature_index
+                                           in range(1, ordinal_extrema_dict['threeprime_acceptor_stem_sequence_stop'] - ordinal_extrema_dict['threeprime_acceptor_stem_sequence_start'] + 2)] +
+                                          [('discriminator_1', '73')])
+
+
+    def generate_seed_output(self):
+        contig_name_iter = iter(self.contig_names)
+        feature_table_dict = self.contigs_db.db.get_table_as_dict(tables.trna_seed_feature_table_name)
+        self.taxonomy_table_dict = taxonomy_table_dict = {}
+        for taxonomy_item in self.contigs_db.db.get_table_as_dataframe(tables.trna_taxonomy_table_name,
+                                                                       error_if_no_data=False,
+                                                                       columns_of_interest=['gene_callers_id',
+                                                                                            't_domain',
+                                                                                            't_phylum',
+                                                                                            't_class',
+                                                                                            't_order',
+                                                                                            't_family',
+                                                                                            't_genus',
+                                                                                            't_species',
+                                                                                            'percent_identity']).itertuples():
+            taxonomy_table_dict[taxonomy_item.gene_callers_id] = (taxonomy_item.t_domain if taxonomy_item.t_domain else '',
+                                                                  taxonomy_item.t_phylum if taxonomy_item.t_phylum else '',
+                                                                  taxonomy_item.t_class if taxonomy_item.t_class else '',
+                                                                  taxonomy_item.t_order if taxonomy_item.t_order else '',
+                                                                  taxonomy_item.t_family if taxonomy_item.t_family else '',
+                                                                  taxonomy_item.t_genus if taxonomy_item.t_genus else '',
+                                                                  taxonomy_item.t_species if taxonomy_item.t_species else '',
+                                                                  str(taxonomy_item.percent_identity) if taxonomy_item.percent_identity else '')
+
+        spec_profile_db = dbops.ProfileDatabase(self.spec_profile_db_path, quiet=True)
+        get_meta_value = spec_profile_db.db.get_meta_value
+        self.sample_names = sample_names = get_meta_value('samples').split(', ')
+        sample_total_mean_spec_covs = tuple(map(float, get_meta_value('sample_total_mean_specific_coverage').split(', ')))
+        sample_total_discriminator_spec_covs = tuple(map(int, get_meta_value('sample_total_discriminator_specific_coverage').split(', ')))
+        mean_spec_cov_df = spec_profile_db.db.get_table_as_dataframe('mean_coverage_contigs')
+        spec_profile_db.disconnect()
+        mean_spec_cov_df['contig_name'] = mean_spec_cov_df['item'].apply(lambda s: s.split('_split_00001')[0])
+        mean_spec_cov_df = mean_spec_cov_df.drop(['item', 'layer'], axis=1)
+        mean_spec_cov_df = mean_spec_cov_df.rename({'value': 'mean_spec_cov'}, axis=1)
+        mean_spec_cov_dict = {}
+        for contig_name, contig_df in mean_spec_cov_df.groupby('contig_name'):
+            mean_spec_cov_dict[contig_name] = tuple(contig_df['mean_spec_cov'])
+
+        do_nonspec = True if self.nonspec_profile_db_path else False
+        if do_nonspec:
+            nonspec_profile_db = dbops.ProfileDatabase(self.nonspec_profile_db_path, quiet=True)
+            get_meta_value = nonspec_profile_db.db.get_meta_value
+            self.sample_names = sample_names = get_meta_value('samples').split(', ')
+            mean_nonspec_cov_df = nonspec_profile_db.db.get_table_as_dataframe('mean_coverage_contigs')
+            nonspec_profile_db.disconnect()
+            mean_nonspec_cov_df['contig_name'] = mean_nonspec_cov_df['item'].apply(lambda s: s.split('_split_00001')[0])
+            mean_nonspec_cov_df = mean_nonspec_cov_df.drop(['item', 'layer'], axis=1)
+            mean_nonspec_cov_df = mean_nonspec_cov_df.rename({'value': 'mean_nonspec_cov'}, axis=1)
+            mean_nonspec_cov_dict = {}
+            for contig_name, contig_df in mean_nonspec_cov_df.groupby('contig_name'):
+                mean_nonspec_cov_dict[contig_name] = tuple(contig_df['mean_nonspec_cov'])
+
+        anticodon_aa_items = [(anticodon, aa) for aa, anticodon in
+                              [anticodon_aa_item.split('_') for anticodon_aa_item in
+                               self.contigs_db.db.get_single_column_from_table(tables.hmm_hits_table_name, 'gene_name')]]
+        self.gene_callers_id_anticodon_aa_dict = gene_callers_id_anticodon_aa_dict = {}
+        for gene_callers_id, anticodon_aa_item in enumerate(anticodon_aa_items):
+            gene_callers_id_anticodon_aa_dict[gene_callers_id] = anticodon_aa_item
+        anticodon_aa_iter = iter(anticodon_aa_items)
+
+        # Coverages are stored as bytes or as a single integer when coverage is zero for the sample.
+        # Convert coverage entries back to numpy arrays accordingly.
+        convert_binary_blob_to_numpy_array = partial(utils.convert_binary_blob_to_numpy_array, dtype=auxiliarydataops.TRNASEQ_COVERAGE_DTYPE)
+        convert_int_to_numpy_array = lambda x: np.zeros(x, dtype=auxiliarydataops.TRNASEQ_COVERAGE_DTYPE)
+        def convert_coverage_entry_to_numpy_array(cov_entry):
+            try:
+                cov_array = convert_binary_blob_to_numpy_array(cov_entry)
+            except TypeError:
+                cov_array = convert_int_to_numpy_array(cov_entry)
+            return cov_array
+
+        spec_aux_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.spec_aux_db_path, self.contigs_db_info.hash, db_variant='trnaseq')
+        spec_aux_df = spec_aux_db.db.get_table_as_dataframe(tables.split_coverages_table_name)
+        spec_aux_db.close()
+        spec_aux_df['contig_name'] = spec_aux_df['split_name'].apply(lambda s: s.split('_split_00001')[0])
+        spec_aux_df = spec_aux_df.drop('split_name', axis=1)
+        spec_aux_df['coverages'] = spec_aux_df['coverages'].apply(convert_coverage_entry_to_numpy_array)
+
+        if do_nonspec:
+            nonspec_aux_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.nonspec_aux_db_path, self.contigs_db_info.hash, db_variant='trnaseq')
+            nonspec_aux_df = nonspec_aux_db.db.get_table_as_dataframe(tables.split_coverages_table_name)
+            nonspec_aux_db.close()
+            nonspec_aux_df['contig_name'] = spec_aux_df['contig_name'].values
+            nonspec_aux_df = nonspec_aux_df.drop('split_name', axis=1)
+            nonspec_aux_df['coverages'] = nonspec_aux_df['coverages'].apply(convert_coverage_entry_to_numpy_array)
+
+        spec_covs_dict = {}
+        sample_rel_discriminator_spec_cov_dict = {}
+        for contig_name, contig_df in spec_aux_df.groupby('contig_name'):
+            spec_covs_dict[contig_name] = dict(zip(contig_df['sample_name'], contig_df['coverages']))
+            sample_rel_discriminator_spec_cov_dict[contig_name] = tuple([round(covs[-1] / total_discriminator_cov, 8) for covs, total_discriminator_cov
+                                                                         in zip(contig_df['coverages'], sample_total_discriminator_spec_covs)])
+
+        if do_nonspec:
+            nonspec_covs_dict = {}
+            for contig_name, contig_df in nonspec_aux_df.groupby('contig_name'):
+                nonspec_covs_dict[contig_name] = dict(zip(contig_df['sample_name'], contig_df['coverages']))
+
+        canonical_dict = self.canonical_dict
+        spec_top_header = ("gene_callers_id",
+                           "contig_name",
+                           "anticodon",
+                           "aa",
+                           "domain",
+                           "phylum",
+                           "class",
+                           "order",
+                           "family",
+                           "genus",
+                           "species",
+                           "taxon_percent_id",
+                           "sample_name",
+                           "mean_coverage",
+                           "relative_mean_coverage",
+                           "relative_discriminator_coverage") + tuple(self.ordinal_dict.keys())
+        spec_middle_header = "\t".join(("", ) * (len(spec_top_header) - len(self.ordinal_dict))
+                                       + tuple(map(str, range(1, len(self.ordinal_dict) + 1)))) + "\n"
+        spec_bottom_header = "\t".join(("", ) * (len(spec_top_header) - len(self.canonical_dict))
+                                       + tuple([canonical_dict[ordinal_name] for ordinal_name in self.ordinal_dict])) + "\n"
+        spec_top_header = "\t".join(spec_top_header) + "\n"
+
+        if do_nonspec:
+            nonspec_top_header = ("gene_callers_id",
+                                  "contig_name",
+                                  "anticodon",
+                                  "aa",
+                                  "domain",
+                                  "phylum",
+                                  "class",
+                                  "order",
+                                  "family",
+                                  "genus",
+                                  "species",
+                                  "taxon_percent_id",
+                                  "sample_name",
+                                  "mean_coverage") + tuple(self.ordinal_dict.keys())
+            nonspec_middle_header = "\t".join(("", ) * (len(spec_top_header) - len(self.ordinal_dict))
+                                              + tuple(map(str, range(1, len(self.ordinal_dict) + 1)))) + "\n"
+            nonspec_bottom_header = "\t".join(("", ) * (len(spec_top_header) - len(self.canonical_dict))
+                                              + tuple([canonical_dict[ordinal_name] for ordinal_name in self.ordinal_dict])) + "\n"
+            nonspec_top_header = "\t".join(nonspec_top_header) + "\n"
+
+
+        spec_out_file = open(self.spec_seed_out_path, 'a')
+        spec_out_file.write(spec_top_header + spec_middle_header + spec_bottom_header)
+        if do_nonspec:
+            nonspec_out_file = open(self.nonspec_seed_out_path, 'a')
+            nonspec_out_file.write(nonspec_top_header + nonspec_middle_header + nonspec_bottom_header)
+
+        reverse_ordinal_dict = self.reverse_ordinal_dict
+        self.contig_name_gene_callers_id_dict = contig_name_gene_callers_id_dict = {}
+        self.contig_feature_coord_dict = contig_feature_coord_dict = {}
+        for gene_callers_id, feature_dict in feature_table_dict.items():
+            contig_name = next(contig_name_iter)
+            anticodon, aa = next(anticodon_aa_iter)
+            contig_name_gene_callers_id_dict[contig_name] = gene_callers_id
+
+            try:
+                t_domain, t_phylum, t_class, t_order, t_family, t_genus, t_species, t_percent_id = taxonomy_table_dict[gene_callers_id]
+            except KeyError:
+                t_domain, t_phylum, t_class, t_order, t_family, t_genus, t_species, t_percent_id = ('', ) * 8
+
+            sample_mean_spec_covs = mean_spec_cov_dict[contig_name]
+            sample_rel_mean_spec_covs = [round(mean_spec_cov / total_mean_spec_cov, 8) for mean_spec_cov, total_mean_spec_cov
+                                         in zip(sample_mean_spec_covs, sample_total_mean_spec_covs)]
+            sample_rel_discriminator_spec_covs = sample_rel_discriminator_spec_cov_dict[contig_name]
+
+            if do_nonspec:
+                sample_mean_nonspec_covs = mean_nonspec_cov_dict[contig_name]
+
+            contig_spec_covs_dict = {sample_name: iter(covs) for sample_name, covs in spec_covs_dict[contig_name].items()}
+            if do_nonspec:
+                contig_nonspec_covs_dict = {sample_name: iter(covs) for sample_name, covs in nonspec_covs_dict[contig_name].items()}
+            sample_range = range(len(contig_spec_covs_dict))
+            spec_contig_output_rows = []
+            for sample_name, mean_spec_cov, rel_mean_cov, rel_discriminator_cov in zip(sample_names,
+                                                                                       sample_mean_spec_covs,
+                                                                                       sample_rel_mean_spec_covs,
+                                                                                       sample_rel_discriminator_spec_covs):
+                spec_contig_output_rows.append([str(gene_callers_id),
+                                                contig_name,
+                                                anticodon,
+                                                aa,
+                                                t_domain,
+                                                t_phylum,
+                                                t_class,
+                                                t_order,
+                                                t_family,
+                                                t_genus,
+                                                t_species,
+                                                t_percent_id,
+                                                sample_name,
+                                                str(round(mean_spec_cov, 1)),
+                                                str(rel_mean_cov),
+                                                str(rel_discriminator_cov)])
+
+            if do_nonspec:
+                nonspec_contig_output_rows = []
+                for spec_contig_output_row, mean_nonspec_cov in zip(spec_contig_output_rows, sample_mean_nonspec_covs):
+                    nonspec_contig_output_rows.append(spec_contig_output_row[: -3] + [str(round(mean_nonspec_cov, 1))])
+
+            feature_start_in_seq = None
+            feature_stop_in_seq = None
+            feature_ordinal_start = None
+
+            tabulated_contig_spec_covs = [[] for sample_index in sample_range]
+            if do_nonspec:
+                tabulated_contig_nonspec_covs = [[] for sample_index in sample_range]
+            feature_coord_map = {}
+            ordinal_extremum_index = 0
+            for ordinal_extremum_name, ordinal_extremum in self.ordinal_extrema_dict.items():
+                try:
+                    extremum_in_seq = feature_dict[ordinal_extremum_name]
+                except KeyError:
+                    if ordinal_extremum_name == 'd_loop_prealpha_start':
+                        extremum_in_seq = feature_dict['d_loop_start']
+                    elif ordinal_extremum_name == 'd_loop_prealpha_stop':
+                        alpha_start_in_seq = feature_dict['alpha_start']
+                        extremum_in_seq = alpha_start_in_seq - 1 if pd.notnull(alpha_start_in_seq) else np.nan
+                    elif ordinal_extremum_name == 'd_loop_alpha_start':
+                        extremum_in_seq = alpha_start_in_seq = feature_dict['alpha_start']
+                    elif ordinal_extremum_name == 'd_loop_alpha_stop':
+                        extremum_in_seq = alpha_stop_in_seq = feature_dict['alpha_stop']
+                    elif ordinal_extremum_name == 'd_loop_postalpha_start':
+                        extremum_in_seq = alpha_stop_in_seq + 1 if pd.notnull(alpha_stop_in_seq) else np.nan
+                    elif ordinal_extremum_name == 'd_loop_postalpha_stop':
+                        beta_start_in_seq = feature_dict['beta_start']
+                        extremum_in_seq = beta_start_in_seq - 1 if pd.notnull(beta_start_in_seq) else np.nan
+                    elif ordinal_extremum_name == 'd_loop_beta_start':
+                        extremum_in_seq = beta_start_in_seq
+                    elif ordinal_extremum_name == 'd_loop_beta_stop':
+                        extremum_in_seq = beta_stop_in_seq = feature_dict['beta_stop']
+                    elif ordinal_extremum_name == 'd_loop_postbeta_start':
+                        extremum_in_seq = beta_stop_in_seq + 1 if pd.notnull(beta_stop_in_seq) else np.nan
+                    elif ordinal_extremum_name == 'd_loop_postbeta_stop':
+                        extremum_in_seq = feature_dict['d_loop_stop']
+
+                if pd.notnull(feature_start_in_seq):
+                    feature_stop_in_seq = extremum_in_seq
+                    feature_ordinal_max_stop = ordinal_extremum
+                    for ordinal_index, seq_index in enumerate(range(feature_start_in_seq, feature_stop_in_seq + 1)):
+                        if seq_index >= 0:
+                            for sample_num, spec_cov_iter in enumerate(contig_spec_covs_dict.values()):
+                                tabulated_contig_spec_covs[sample_num].append(next(spec_cov_iter))
+                            if do_nonspec:
+                                for sample_num, nonspec_cov_iter in enumerate(contig_nonspec_covs_dict.values()):
+                                    tabulated_contig_nonspec_covs[sample_num].append(next(nonspec_cov_iter))
+                            rank = feature_ordinal_start + ordinal_index
+                            feature_coord_map[seq_index] = (reverse_ordinal_dict[rank], rank)
+                        else:
+                            for sample_num in sample_range:
+                                tabulated_contig_spec_covs[sample_num].append('')
+                                if do_nonspec:
+                                    tabulated_contig_nonspec_covs[sample_num].append('')
+                    uncovered_ordinal_length = feature_ordinal_max_stop - feature_ordinal_start - ordinal_index
+                    if uncovered_ordinal_length:
+                        cov_extension = [''] * uncovered_ordinal_length
+                        for sample_num in sample_range:
+                            tabulated_contig_spec_covs[sample_num].extend(cov_extension)
+                            if do_nonspec:
+                                tabulated_contig_nonspec_covs[sample_num].extend(cov_extension)
+                    feature_start_in_seq = None
+                    feature_stop_in_seq = None
+                    feature_ordinal_start = None
+                    feature_ordinal_max_stop = None
+                elif ordinal_extremum_index % 2 == 1:
+                    cov_extension = [''] * (ordinal_extremum + 1 - feature_ordinal_start)
+                    for sample_num in sample_range:
+                        tabulated_contig_spec_covs[sample_num].extend(cov_extension)
+                        if do_nonspec:
+                            tabulated_contig_nonspec_covs[sample_num].extend(cov_extension)
+                    feature_start_in_seq = None
+                    feature_ordinal_start = None
+                else:
+                    feature_start_in_seq = extremum_in_seq
+                    feature_ordinal_start = ordinal_extremum
+                ordinal_extremum_index += 1
+
+            contig_feature_coord_dict[contig_name] = feature_coord_map
+
+            for spec_contig_output_row, contig_spec_covs_row in zip(spec_contig_output_rows, tabulated_contig_spec_covs):
+                spec_out_file.write("\t".join(spec_contig_output_row + list(map(str, contig_spec_covs_row))) + "\n")
+            if do_nonspec:
+                for nonspec_contig_output_row, contig_nonspec_covs_row in zip(nonspec_contig_output_rows, tabulated_contig_nonspec_covs):
+                    nonspec_out_file.write("\t".join(nonspec_contig_output_row + list(map(str, contig_nonspec_covs_row))) + "\n")
+
+
+    def generate_modification_output(self):
+        profile_db = dbops.ProfileDatabase(self.spec_profile_db_path)
+        var_nts_df = profile_db.db.get_table_as_dataframe('variable_nucleotides')
+        profile_db.disconnect()
+        var_nts_df['contig_name'] = var_nts_df['split_name'].apply(lambda s: s.split('_split_00001')[0])
+        contig_name_gene_callers_id_dict = self.contig_name_gene_callers_id_dict
+        var_nts_df['gene_callers_id'] = var_nts_df['contig_name'].apply(lambda c: contig_name_gene_callers_id_dict[c])
+        var_nts_df = var_nts_df.drop(['pos_in_contig',
+                                      'corresponding_gene_call',
+                                      'in_noncoding_gene_call',
+                                      'in_coding_gene_call',
+                                      'base_pos_in_codon',
+                                      'codon_order_in_gene',
+                                      'cov_outlier_in_split',
+                                      'departure_from_reference',
+                                      'competing_nts'],
+                                     axis=1)
+        var_nts_df = var_nts_df.sort_values('gene_callers_id')
+
+        header = "\t".join(("gene_callers_id",
+                            "contig_name",
+                            "anticodon",
+                            "aa",
+                            "domain",
+                            "phylum",
+                            "class",
+                            "order",
+                            "family",
+                            "genus",
+                            "species",
+                            "taxon_percent_id",
+                            "seed_position",
+                            "ordinal_name",
+                            "ordinal_position",
+                            "canonical_position",
+                            "reference",
+                            "sample_name")
+                           + UNAMBIG_NTS) + "\n"
+        out_file = open(self.mod_out_path, 'a')
+        out_file.write(header)
+
+        gene_callers_id_anticodon_aa_dict = self.gene_callers_id_anticodon_aa_dict
+        taxonomy_table_dict = self.taxonomy_table_dict
+        contig_feature_coord_dict = self.contig_feature_coord_dict
+        canonical_dict = self.canonical_dict
+        sample_names = self.sample_names
+        for contig_index, contig_df in var_nts_df.groupby(['gene_callers_id', 'contig_name']):
+            gene_callers_id = contig_index[0]
+            contig_name = contig_index[1]
+            anticodon, aa = gene_callers_id_anticodon_aa_dict[gene_callers_id]
+            try:
+                t_domain, t_phylum, t_class, t_order, t_family, t_genus, t_species, t_percent_id = taxonomy_table_dict[gene_callers_id]
+            except KeyError:
+                t_domain, t_phylum, t_class, t_order, t_family, t_genus, t_species, t_percent_id = ('', ) * 8
+            gene_callers_id = str(gene_callers_id)
+            contig_df = contig_df.sort_values('pos')
+            feature_coord_dict = contig_feature_coord_dict[contig_name]
+            for seed_pos, sub_df in contig_df.groupby('pos'):
+                try:
+                    ordinal_name, ordinal_pos = feature_coord_dict[seed_pos]
+                except KeyError:
+                    # The modification position may be 5' of the 5'-most feature defined in the
+                    # seed.
+                    ordinal_name = 'NA'
+                    ordinal_pos = 'NA'
+                str_seed_pos = str(seed_pos)
+                ordinal_pos = str(ordinal_pos)
+                try:
+                    canonical_pos = str(canonical_dict[ordinal_name])
+                except KeyError:
+                    canonical_pos = 'NA'
+                sample_row_dict = {}
+                for sample_row in sub_df.itertuples():
+                    out_row = [gene_callers_id,
+                               contig_name,
+                               anticodon,
+                               aa,
+                               t_domain,
+                               t_phylum,
+                               t_class,
+                               t_order,
+                               t_family,
+                               t_genus,
+                               t_species,
+                               t_percent_id,
+                               str_seed_pos,
+                               ordinal_name,
+                               ordinal_pos,
+                               canonical_pos,
+                               sample_row.reference,
+                               sample_row.sample_id]
+                    sample_row_dict[out_row[-1]] = out_row
+                    out_row.extend([str(getattr(sample_row, nt)) for nt in UNAMBIG_NTS])
+                for sample_name in sample_names:
+                    try:
+                        out_row = sample_row_dict[sample_name]
+                    except KeyError:
+                        out_row = [gene_callers_id,
+                                   contig_name,
+                                   anticodon,
+                                   aa,
+                                   t_domain,
+                                   t_phylum,
+                                   t_class,
+                                   t_order,
+                                   t_family,
+                                   t_genus,
+                                   t_species,
+                                   t_percent_id,
+                                   str_seed_pos,
+                                   ordinal_name,
+                                   ordinal_pos,
+                                   canonical_pos,
+                                   sample_row.reference,
+                                   sample_name] + [""] * len(UNAMBIG_NTS)
+                    out_file.write("\t".join(out_row) + "\n")
+
+
+class ResultPlotter(object):
+
+    NT_COLORS = ('blue', 'green', 'orange', 'red')
+    RANKS = ('domain', 'phylum', 'class', 'order', 'family', 'genus', 'species')
+    DEFAULT_FORMAT_PARAM_DICT = {
+        'nt_key_y': 1.07,
+        'nt_key_font_size': 3,
+        'group_id_y': 1.07,
+        'group_id_font_size': 6,
+        'seed_count_y': 1.07,
+        'seed_count_font_size': 6,
+        'cov_tick_font_size': 3,
+        'mod_frac_tick_font_size': 2,
+        'sample_rel_abund_font_size': 3,
+        'ordinal_pos_tick_font_size': 4
+    }
+
+    def __init__(self, args, run=terminal.Run(width=100)):
+        self.run = run
+
+        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
+        # Group 1: MANDATORY
+        self.contigs_db_path = A('contigs_db')
+        self.spec_txt_path = A('seeds_specific_txt')
+        self.mod_txt_path = A('modifications_txt')
+        self.out_dir = A('output_dir')
+
+        # Group 2: OPTIONAL
+        self.overwrite_out_dest = A('overwrite_output_destinations')
+        # The following parameters are not currently available to the user.
+        self.nonspec_txt_path = None
+        self.cov_cutoff = 1
+
+        if not self.contigs_db_path:
+            raise ConfigError("Please provide the path to a `trnaseq`-variant contigs database using `--contigs-db` or `-c`.")
+        if not self.spec_txt_path:
+            raise ConfigError("Please provide the path to a tRNA seeds table of data including specific coverages using `--seeds-specific-txt` or `-s`.")
+        if not self.mod_txt_path:
+            raise ConfigError("Please provide the path to a tRNA modifications table using `--modifications-txt` or `-m`.")
+
+        self.format_param_dict = self.DEFAULT_FORMAT_PARAM_DICT
+
+
+    def go(self):
+        """Load data and get standard input from user to produce plots."""
+        self.sanity_check()
+        self.load_data()
+        self.print_help()
+
+        RANKS = self.RANKS
+        DEFAULT_FORMAT_PARAM_DICT = self.DEFAULT_FORMAT_PARAM_DICT
+        warning = self.run.warning
+        while True:
+            entry = input("\033[36;1;3mInput -> \033[0m")
+
+            if entry == 'q':
+                return
+            elif entry == 'h':
+                self.print_help()
+                continue
+            elif entry == 'f':
+                self.print_formatting_options()
+                continue
+
+            loop_ranks = []
+            format_command = False
+            taxon_rank_filter = None
+            taxon_filter = None
+            single_aa = None
+            single_anticodon = None
+            out_dir = self.out_dir
+            for field_index, field in enumerate([field.strip() for field in entry.split(';')]):
+                split_field = field.split(',')
+
+                if len(split_field) == 1:
+                    if split_field[0] == '':
+                        warning("An empty semicolon-delimited field was given.", "INVALID FIELD")
+                        break
+
+                    single_field = split_field[0]
+                    if single_field == 'f':
+                        if field_index > 0:
+                            warning("A format command must start with f; and not include plot commands.", "INVALID FIELD")
+                            break
+                        format_command = True
+                    elif single_field in RANKS:
+                        loop_ranks.append(single_field)
+                    elif single_field in AMINO_ACIDS:
+                        if single_aa:
+                            warning("Multiple amino acids were given.", "INVALID FIELD")
+                            break
+                        single_aa = single_field
+                    elif single_field in ANTICODONS:
+                        if single_anticodon:
+                            warning("Multiple anticodons were given.", "INVALID FIELD")
+                            break
+                        single_anticodon = single_field
+                    elif format_command:
+                        if single_field == 'reset':
+                            self.format_param_dict = DEFAULT_FORMAT_PARAM_DICT
+                        else:
+                            warning("A format option must have a value of 'reset' or be similar to 'nt_key_y, 1.1'", "INVALID FIELD")
+                    else:
+                        warning(f"{single_field} is not recognized as a taxonomic rank, amino acid, or anticodon.", "INVALID FIELD")
+                        break
+                elif len(split_field) == 2:
+                    if format_command:
+                        format_param = split_field[0].strip()
+                        if format_param not in DEFAULT_FORMAT_PARAM_DICT:
+                            warning(f"{format_param} is not recognized. Type f for format options.", "INVALID FIELD")
+                        self.format_param_dict[format_param] = float(split_field[1].strip())
+                        continue
+
+                    if split_field[0].strip() == 'outdir':
+                        out_dir = split_field[1].strip()
+                        if os.path.isdir(out_dir):
+                            if not os.access(os.path.abspath(out_dir), os.W_OK):
+                                warning(f"Permission denied to create files in {out_dir}", "INVALID DIRECTORY PATH")
+                                break
+                        else:
+                            try:
+                                os.mkdir(out_dir)
+                            except FileNotFoundError:
+                                warning(f"{out_dir}", "INVALID DIRECTORY PATH")
+                                break
+                        continue
+
+                    if taxon_filter:
+                        warning("Multiple fields with a comma, interpreted as a taxon, were given.", "INVALID FIELD")
+                        break
+                    taxon_rank_filter = split_field[0].strip()
+
+                    if taxon_rank_filter not in RANKS:
+                        warning(f"{taxon_rank_filter} is not recognized as a taxonomic rank.", "INVALID FIELD")
+                        break
+                    taxon_filter = split_field[1].strip()
+                else:
+                    warning(f"A field with {len(split_field)} commas was given: '{field}'.", "INVALID FIELD")
+                    break
+            else:
+                if format_command:
+                    continue
+
+                if not taxon_rank_filter and not loop_ranks:
+                    warning(f"A taxon or at least one rank must be given.", "PROGRAM REQUIREMENT")
+                    continue
+
+                loop_ranks = sorted(loop_ranks, key=lambda rank: RANKS.index(rank))
+                if taxon_rank_filter and loop_ranks:
+                    if RANKS.index(taxon_rank_filter) >= RANKS.index(loop_ranks[0]):
+                        warning(f"A taxon ('{taxon_rank_filter} {taxon_filter}') lower than a rank ('{loop_ranks[0]}') was given.", "INVALID FIELD")
+                        continue
+
+                if single_aa and single_anticodon:
+                    if ANTICODON_AA_DICT[single_anticodon] == single_aa:
+                        warning(f"An amino acid is not needed with the anticodon.", "UNNECESSARY FIELD")
+                        single_aa = None
+                    else:
+                        warning(f"The anticodon ('{single_anticodon}') does not decode the amino acid ('{single_aa}').", "INVALID FIELD")
+                        continue
+
+                spec_df = self.spec_df
+                mod_df = self.mod_df
+                nonspec_df = self.nonspec_df if self.nonspec_txt_path else None
+
+                if single_anticodon:
+                    spec_df = spec_df[(spec_df['anticodon'] == single_anticodon).squeeze()]
+                    mod_df = mod_df[(mod_df['anticodon'] == single_anticodon)]
+                    nonspec_df = nonspec_df[(nonspec_df['anticodon'] == single_anticodon).squeeze()] if self.nonspec_txt_path else None
+
+                if taxon_rank_filter:
+                    # Subset the data to the taxon of interest.
+                    spec_df = spec_df[(spec_df[taxon_rank_filter] == taxon_filter).squeeze()]
+                    mod_df = mod_df[(mod_df[taxon_rank_filter] == taxon_filter)]
+                    nonspec_df = nonspec_df[(nonspec_df[taxon_rank_filter] == taxon_filter).squeeze()] if self.nonspec_txt_path else None
+
+                if single_anticodon:
+                    if taxon_filter:
+                        if loop_ranks: # (potentially) multiple taxa at ranks below the taxon filter
+                            for rank in loop_ranks:
+                                self.plot_rank(rank,
+                                               spec_df,
+                                               mod_df,
+                                               ANTICODON_AA_DICT[single_anticodon],
+                                               single_anticodon,
+                                               out_dir,
+                                               nonspec_df=nonspec_df)
+                        else: # single taxon
+                            self.plot_items(spec_df,
+                                            mod_df,
+                                            ANTICODON_AA_DICT[single_anticodon],
+                                            single_anticodon,
+                                            taxon_rank_filter,
+                                            taxon_filter,
+                                            out_dir,
+                                            nonspec_df=nonspec_df)
+                    else: # (potentially) multiple taxa
+                        for rank in loop_ranks:
+                            self.plot_rank(rank,
+                                           spec_df,
+                                           mod_df,
+                                           ANTICODON_AA_DICT[single_anticodon],
+                                           single_anticodon,
+                                           out_dir,
+                                           nonspec_df=nonspec_df)
+                else: # (potentially) multiple anticodons
+                    if single_aa:
+                        for anticodon in AA_ANTICODON_DICT[single_aa]:
+                            anticodon_spec_df = spec_df[(spec_df['anticodon'] == anticodon).squeeze()]
+                            anticodon_mod_df = mod_df[(mod_df['anticodon'] == anticodon)]
+                            anticodon_nonspec_df = nonspec_df[(nonspec_df['anticodon'] == anticodon).squeeze()] if self.nonspec_txt_path else None
+                            if taxon_filter:
+                                if loop_ranks: # (potentially) multiple taxa at ranks below the taxon filter
+                                    for rank in loop_ranks:
+                                        self.plot_rank(rank,
+                                                       anticodon_spec_df,
+                                                       anticodon_mod_df,
+                                                       single_aa,
+                                                       anticodon,
+                                                       out_dir,
+                                                       nonspec_df=anticodon_nonspec_df)
+                                else: # single taxon
+                                    self.plot_items(anticodon_spec_df,
+                                                    anticodon_mod_df,
+                                                    single_aa,
+                                                    anticodon,
+                                                    taxon_rank_filter,
+                                                    taxon_filter,
+                                                    out_dir,
+                                                    nonspec_df=anticodon_nonspec_df)
+                            else: # (potentially) multiple taxa
+                                for rank in loop_ranks:
+                                    self.plot_rank(rank,
+                                                   anticodon_spec_df,
+                                                   anticodon_mod_df,
+                                                   single_aa,
+                                                   anticodon,
+                                                   out_dir,
+                                                   nonspec_df=anticodon_nonspec_df)
+                    else: # all anticodons
+                        for aa, anticodons in AA_ANTICODON_DICT.items():
+                            for anticodon in anticodons:
+                                anticodon_spec_df = spec_df[(spec_df['anticodon'] == anticodon).squeeze()]
+                                anticodon_mod_df = mod_df[(mod_df['anticodon'] == anticodon)]
+                                anticodon_nonspec_df = nonspec_df[(nonspec_df['anticodon'] == anticodon).squeeze()] if self.nonspec_txt_path else None
+                                if taxon_filter:
+                                    if loop_ranks: # (potentially) multiple taxa at ranks below the taxon filter
+                                        for rank in loop_ranks:
+                                            self.plot_rank(rank,
+                                                           anticodon_spec_df,
+                                                           anticodon_mod_df,
+                                                           aa,
+                                                           anticodon,
+                                                           out_dir,
+                                                           nonspec_df=anticodon_nonspec_df)
+                                    else: # single taxon
+                                        self.plot_items(anticodon_spec_df,
+                                                        anticodon_mod_df,
+                                                        aa,
+                                                        anticodon,
+                                                        taxon_rank_filter,
+                                                        taxon_filter,
+                                                        out_dir,
+                                                        nonspec_df=anticodon_nonspec_df)
+                                else: # (potentially) multiple taxa
+                                    for rank in loop_ranks:
+                                        self.plot_rank(rank,
+                                                       anticodon_spec_df,
+                                                       anticodon_mod_df,
+                                                       aa,
+                                                       anticodon,
+                                                       out_dir,
+                                                       nonspec_df=anticodon_nonspec_df)
+                print("\n")
+
+
+    def sanity_check(self):
+        """Check `anvi-plot-trnaseq` arguments."""
+        self.contigs_db_info = DBInfo(self.contigs_db_path, expecting='contigs')
+        if self.contigs_db_info.variant != 'trnaseq':
+            raise ConfigError("The input contigs database is not of the `trnaseq` variant...")
+
+        filesnpaths.is_file_tab_delimited(self.spec_txt_path)
+        if self.nonspec_txt_path:
+            filesnpaths.is_file_tab_delimited(self.nonspec_txt_path)
+        filesnpaths.is_file_tab_delimited(self.mod_txt_path)
+
+        if self.out_dir:
+            filesnpaths.is_output_dir_writable(self.out_dir)
+
+
+    def load_data(self):
+        # Load the tables of seed specific coverages and modifications.
+        dtype_dict = {rank: str for rank in self.RANKS}
+        self.spec_df = spec_df = pd.read_csv(self.spec_txt_path, sep='\t', header=[0, 1, 2], dtype=dtype_dict)
+
+        # The column multiindex has 3 levels. Some of the labels in the levels should be empty
+        # strings, but upon loading the table, these are replaced with default values that need to
+        # be changed to empty strings. The column multiindex for the positional coverage columns
+        # also needs to be isolated.
+        new_header = []
+        cov_header = []
+        in_cov_cols = False
+        self.cov_x_labels = cov_x_labels = []
+        for col_names in spec_df.columns:
+            new_col_names = []
+            for col_name in col_names:
+                if 'Unnamed: ' in col_name:
+                    new_col_names.append('')
+                else:
+                    new_col_names.append(col_name)
+                if col_name == 'trna_his_position_0_1':
+                    in_cov_cols = True
+            new_header.append(new_col_names)
+            if in_cov_cols:
+                cov_header.append(tuple(new_col_names))
+                cov_x_labels.append(new_col_names[2])
+        spec_df.columns = pd.MultiIndex.from_tuples(new_header)
+        self.cov_index = pd.MultiIndex.from_tuples(cov_header)
+
+        self.cov_length = len(self.cov_index.levels[0])
+        self.cov_x_values = np.arange(self.cov_length)
+
+        self.mod_y_ticks = np.arange(0, 1.25, 0.25)
+
+        # Each seed in a seeds coverage table has rows for all samples in the same order. Get sample
+        # names from the first seed in the table.
+        self.num_samples = len(set(spec_df['sample_name'].squeeze()))
+        self.sample_names = spec_df['sample_name'].squeeze().iloc[: self.num_samples].tolist()
+
+        dtype_dict = {rank: str for rank in self.RANKS}
+        dtype_dict['ordinal_position'] = pd.Int16Dtype()
+        dtype_dict['canonical_position'] = str
+        self.mod_df = pd.read_csv(self.mod_txt_path, sep='\t', header=0, dtype=dtype_dict)
+
+
+    def print_help(self):
+        self.run.warning("", header="INPUT HELP", lc='green')
+        info_single = self.run.info_single
+        info_single("This program generates plots of seed coverage and modification levels across samples.", cut_after=100)
+        info_single("Use a semicolon to separate fields and a comma to separate rank and taxon within a field.", cut_after=100, nl_after=1)
+
+        info_single("Write a single plot by specifying a taxon and anticodon.", mc='cyan')
+        info_single("This input will plot Clostridia Arg-TCT seeds: class, Clostridia; TCT", mc='magenta', level=2)
+        info_single("Redundant but accepted: class, Clostridia; Arg; TCT", mc='magenta', level=2, nl_after=1)
+
+        info_single("Write plots at a single taxonomic rank.", mc='cyan')
+        info_single("Every class + every anticodon: class", mc='magenta', level=2)
+        info_single("Every class + Arg-TCT: class; TCT", mc='magenta', level=2, nl_after=1)
+
+        info_single("Write plots for every anticodon decoding an amino acid.", mc='cyan')
+        info_single("One class + every Arg anticodon: class, Clostridia; Arg", mc='magenta', level=2)
+        info_single("Every class + every Arg anticodon: class; Arg", mc='magenta', level=2, nl_after=1)
+
+        info_single("Write plots for multiple taxonomic ranks.", mc='cyan')
+        info_single("Every phylum and class + every anticodon: phylum; class", mc='magenta', level=2)
+        info_single("Every order in class Clostridia + every anticodon: class, Clostridia; order", mc='magenta', level=2)
+        info_single("Every genus in class Clostridia + Arg-TCT: class, Clostridia; genus; TCT", mc='magenta', level=2)
+        info_single("Every order and family in class Clostridia + every Arg anticodon: class, Clostridia; order; family; Arg", cut_after=120, mc='magenta', level=2)
+        info_single("Invalid: phylum; class, Clostridia", mc='red', level=2, nl_after=1)
+
+        info_single("The output directory can be changed to a new or existing directory.", mc='cyan', cut_after=100)
+        info_single("Example: class, Clostridia; Arg; outdir, plots/class/Clostridia/aa/Arg", mc='magenta', level=2, nl_after=1)
+
+        info_single("Only one taxon, amino acid, or anticodon can be given at a time.", mc='cyan')
+        info_single("Invalid: phylum, Firmicutes; class, Clostridia", mc='red', level=2)
+        info_single("Invalid: class, Clostridia; class, Bacteroidia", mc='red', level=2)
+        info_single("Invalid: Arg; Asp", mc='red', level=2, nl_after=1)
+
+        info_single("Alter plot appearance with format options.", mc='cyan')
+        info_single("The available parameters, such as tick label size, may need to be tuned to make everything fit.", cut_after=120, mc='magenta', level=2)
+        info_single("A format command affects all subsequent plots.", mc='magenta', level=2)
+        info_single("A format command starts with f;", mc='magenta', level=2)
+        info_single("Example: f; sample_rel_abund_size, 2; group_id_y, 1.1; seed_count_y, 1.1", mc='magenta', cut_after=120, level=2)
+        info_single("A format command should not include a command to make a plot.", mc='magenta', level=2)
+        info_single("Invalid: f; sample_rel_abund_size, 2; class", mc='red', level=2)
+        info_single("Reset format options to their default values: f; reset", mc='magenta', level=2, nl_after=1)
+
+        info_single("Type f for format options.")
+        info_single("Type h for this help message.")
+        info_single("Type q to quit.", nl_after=2)
+
+
+    def print_formatting_options(self):
+        self.run.warning("", header="FORMAT OPTIONS", lc='green')
+        info_single = self.run.info_single
+        DEFAULT_FORMAT_PARAM_DICT = self.DEFAULT_FORMAT_PARAM_DICT
+        info_single("The name and default value of the option is given.", mc='magenta', level=1)
+        for param, value in self.DEFAULT_FORMAT_PARAM_DICT.items():
+            info_single(f"{param}, {value}", mc='yellow', level=2)
+        print("\n")
+
+
+    def plot_rank(self, rank, spec_df, mod_df, aa, anticodon, out_dir, nonspec_df=None):
+        spec_gb = spec_df.groupby(rank)
+        mod_gb = mod_df.groupby(rank)
+        nonspec_gb = nonspec_df.groupby(rank) if self.nonspec_txt_path else None
+
+        for taxon, taxon_spec_df in spec_gb:
+            try:
+                taxon_mod_df = mod_gb.get_group(taxon)
+            except KeyError:
+                taxon_mod_df = pd.DataFrame(columns=self.mod_df.columns)
+            taxon_nonspec_df = nonspec_gb.get_group(taxon) if self.nonspec_txt_path else None
+
+            self.plot_items(taxon_spec_df, taxon_mod_df, aa, anticodon, rank, taxon, out_dir, nonspec_df=taxon_nonspec_df)
+
+
+    def plot_items(self, spec_df, mod_df, aa, anticodon, rank, taxon, out_dir, nonspec_df=None):
+        if spec_df.empty:
+            if self.nonspec_txt_path:
+                if nonspec_df.empty:
+                    self.run.info_single(f"No values for {rank} {taxon} {aa}-{anticodon}")
+                    return
+            else:
+                self.run.info_single(f"No values for {rank} {taxon} {aa}-{anticodon}")
+                return
+
+        sample_spec_gb = spec_df.groupby(('sample_name', '', ''))
+        sample_mod_gb = mod_df.groupby('sample_name')
+        sample_nonspec_gb = nonspec_df.groupby(('sample_name', '', '')) if self.nonspec_txt_path else None
+
+        fig = plt.figure(1)
+        num_samples = self.num_samples
+        GridSpec(num_samples, 1)
+
+        bottom_cov_ax = plt.subplot2grid((num_samples, 1), (num_samples - 1, 0))
+        cov_axs = []
+        for grid_row in range(0, num_samples - 1):
+            cov_ax = plt.subplot2grid((num_samples, 1), (grid_row, 0), sharex=bottom_cov_ax)
+            cov_ax.tick_params(bottom=False, labelbottom=False)
+            cov_axs.append(cov_ax)
+        cov_axs.append(bottom_cov_ax)
+
+        plt.subplots_adjust(hspace=0)
+
+        format_param_dict = self.format_param_dict
+        cov_index = self.cov_index
+        cov_cutoff = self.cov_cutoff
+        cov_length = self.cov_length
+        cov_x_values = self.cov_x_values
+        cov_x_labels = self.cov_x_labels
+        NT_COLORS = self.NT_COLORS
+        mod_y_ticks = self.mod_y_ticks
+        ax_count = -1
+        for sample_name, cov_ax in zip(self.sample_names, cov_axs):
+            ax_count += 1
+            try:
+                sample_spec_df = sample_spec_gb.get_group(sample_name)
+            except KeyError:
+                raise ConfigError("The input seeds specific coverage table appears not to have been generated correctly -- "
+                                  "not every seed has a row for every sample. "
+                                  "If you (wisely) generated the table with `anvi-tabulate-trnaseq` please contact the developer.")
+
+            sum_rel_mean_spec_cov = sample_spec_df['relative_mean_coverage'].sum(axis=0)
+            if sum_rel_mean_spec_cov == 0:
+                cov_ax.tick_params(left=False, right=False, bottom=False, labelleft=False, labelright=False)
+                cov_ax.annotate(f"{sample_name}",
+                                xy=(1.04, 1),
+                                xycoords=('axes fraction', 'axes fraction'),
+                                va='top',
+                                fontsize=format_param_dict['sample_rel_abund_font_size'])
+                continue
+
+            # Display seed coverages from bottom to top in descending order of mean specific coverage.
+            sample_spec_df = sample_spec_df.sort_values('mean_coverage', ascending=False)
+
+            spec_cov_array = sample_spec_df[cov_index].values
+            cov_y_values = np.zeros(self.cov_length)
+            for spec_covs, mean_spec_cov in zip(spec_cov_array, sample_spec_df['mean_coverage']):
+                cov_y_values += spec_covs
+                cov_ax.plot(cov_x_values, cov_y_values, linewidth=0.15, color='gray')
+
+            # Plot a line showing the total specific coverage of all seeds under consideration.
+            cov_ax.plot(cov_x_values, spec_cov_array.sum(axis=0), linewidth=0.15, color='purple')
+
+            cov_ax.set_ylim(0)
+            cov_ax.yaxis.set_tick_params(labelsize=format_param_dict['cov_tick_font_size'], length=2, pad=0)
+            if ax_count == 0 and ax_count == len(cov_axs) - 1:
+                cov_ax.yaxis.set_major_locator(MaxNLocator(nbins=3, steps=[5], integer=True, min_n_ticks=2))
+            elif ax_count == 0:
+                cov_ax.yaxis.set_major_locator(MaxNLocator(nbins=3, steps=[5], integer=True, prune='lower', min_n_ticks=2))
+            elif ax_count == len(cov_axs) - 1:
+                cov_ax.yaxis.set_major_locator(MaxNLocator(nbins=3, steps=[5], integer=True, prune='upper', min_n_ticks=2))
+            else:
+                cov_ax.yaxis.set_major_locator(MaxNLocator(nbins=3, steps=[5], integer=True, prune='both', min_n_ticks=2))
+
+            sum_rel_discriminator_spec_cov = sample_spec_df['relative_discriminator_coverage'].sum(axis=0)
+            cov_ax.annotate(f"{sample_name}\n\nRel abunds\nmean: {sum_rel_mean_spec_cov:.1e}\n3': {sum_rel_discriminator_spec_cov:.1e}",
+                            xy=(1.04, 0.98),
+                            xycoords=('axes fraction', 'axes fraction'),
+                            va='top',
+                            fontsize=format_param_dict['sample_rel_abund_font_size'])
+
+            mod_ax = cov_ax.twinx()
+            try:
+                sample_mod_df = sample_mod_gb.get_group(sample_name)
+            except KeyError:
+                # The seeds under consideration have no modifications.
+                mod_ax.tick_params(right=False, labelright=False)
+                continue
+
+            for ordinal_pos, pos_df in sample_mod_df.groupby('ordinal_position'):
+                try:
+                    total_pos_cov = spec_cov_array[:, ordinal_pos - 1].sum()
+                except IndexError:
+                    # The ordinal position is NaN when the modification position is 5' of the
+                    # 5'-most feature defined in the seed.
+                    continue
+                mod_nt_covs = pos_df[UNAMBIG_NTS_LIST].sum(axis=0)
+                nt_order = np.argsort(mod_nt_covs)[::-1]
+                nt_colors = [NT_COLORS[nt_int] for nt_int in nt_order]
+                prev_mod_nt_freq = 0
+                for mod_nt_cov, nt_color in zip(mod_nt_covs[nt_order], nt_colors):
+                    mod_nt_freq = mod_nt_cov / total_pos_cov
+                    mod_ax.bar([ordinal_pos - 1], prev_mod_nt_freq + mod_nt_freq, width=0.5, bottom=prev_mod_nt_freq, color=nt_color)
+                    prev_mod_nt_freq += mod_nt_freq
+
+            mod_ax.set_ylim(0, 1)
+            if ax_count == 0 and ax_count == len(cov_axs) - 1:
+                mod_ax.set_yticks(mod_y_ticks)
+            elif ax_count == 0:
+                mod_ax.set_yticks(mod_y_ticks[1: ])
+            elif ax_count == len(cov_axs) - 1:
+                mod_ax.set_yticks(mod_y_ticks[: -1])
+            else:
+                mod_ax.set_yticks(mod_y_ticks[1: -1])
+            mod_ax.yaxis.set_tick_params(labelsize=format_param_dict['mod_frac_tick_font_size'], length=2, pad=0)
+
+        bottom_cov_ax.set_xlim(-1, cov_length)
+        bottom_cov_ax.set_xticks(cov_x_values)
+        bottom_cov_ax.set_xticklabels(cov_x_labels, fontsize=format_param_dict['ordinal_pos_tick_font_size'], rotation='vertical')
+        bottom_cov_ax.xaxis.set_tick_params(length=2, pad=0)
+
+        top_cov_ax = cov_axs[0]
+        # Place a color key in the upper left corner for modification nt coverages.
+        NT_COLORS = self.NT_COLORS
+        nt_num = 0
+        for nt, nt_color in zip(UNAMBIG_NTS, NT_COLORS):
+            top_cov_ax.annotate(f"{nt}",
+                                xy=(0.01 + 0.007 * nt_num, format_param_dict['nt_key_y']),
+                                xycoords=('axes fraction', 'axes fraction'),
+                                fontsize=format_param_dict['nt_key_font_size'],
+                                ha='center',
+                                color=nt_color)
+            nt_num += 1
+
+        top_cov_ax.annotate(f"{aa}-{anticodon}\n{rank.capitalize()} {taxon}",
+                            xy=(0.05, format_param_dict['group_id_y']),
+                            xycoords=('axes fraction', 'axes fraction'),
+                            fontsize=format_param_dict['group_id_font_size'])
+
+        top_cov_ax.annotate(f"Seeds: {pp(len(sample_spec_df))}",
+                            xy=(1, format_param_dict['seed_count_y']),
+                            xycoords=('axes fraction', 'axes fraction'),
+                            ha='right',
+                            fontsize=format_param_dict['seed_count_font_size'])
+
+        filename = f"{aa}_{anticodon}_{rank}_{taxon}.png"
+        out_path = os.path.join(out_dir, filename)
+        overwritten = True if os.path.exists(out_path) else False
+        plt.savefig(out_path, dpi=600, bbox_inches='tight')
+        self.run.info_single(f"{out_path}{' overwritten' if overwritten else ''}", mc='green')
diff --git a/anvio/utils.py b/anvio/utils.py
index 97b0f8fb97..c0dd44a9d3 100644
--- a/anvio/utils.py
+++ b/anvio/utils.py
@@ -425,7 +425,10 @@ def tar_extract_file(input_file_path, output_file_path=None, keep_original=True)
 
 
 class CoverageStats:
-    """This class should replace `coverage_c` function in bamops"""
+    """A class to return coverage stats for an array of nucleotide level coverages.
+
+    FIXME: This class should replace `coverage_c` function in bamops to avoid redundancy.
+    """
 
     def __init__(self, coverage, skip_outliers=False):
         self.min = np.amin(coverage)
@@ -446,7 +449,7 @@ def __init__(self, coverage, skip_outliers=False):
         if skip_outliers:
             self.is_outlier = None
         else:
-            self.is_outlier = utils.get_list_of_outliers(coverage, median=self.median) # this is an array not a list
+            self.is_outlier = get_list_of_outliers(coverage, median=self.median) # this is an array not a list
 
 
 class RunInDirectory(object):
@@ -655,7 +658,8 @@ def store_dataframe_as_TAB_delimited_file(d, output_path, columns=None, include_
     return output_path
 
 
-def store_dict_as_TAB_delimited_file(d, output_path, headers=None, file_obj=None, key_header=None, keys_order=None, header_item_conversion_dict=None, do_not_close_file_obj=False):
+def store_dict_as_TAB_delimited_file(d, output_path, headers=None, file_obj=None, key_header=None, keys_order=None,
+                                     header_item_conversion_dict=None, do_not_close_file_obj=False, do_not_write_key_column=False):
     """Store a dictionary of dictionaries as a TAB-delimited file.
 
     Parameters
@@ -677,6 +681,9 @@ def store_dict_as_TAB_delimited_file(d, output_path, headers=None, file_obj=None
         To replace the column names at the time of writing.
     do_not_close_file_obj: boolean
         If True, file object will not be closed after writing the dictionary to the file
+    do_not_write_key_column: boolean
+        If True, the first column (keys of the dictionary) will not be written to the file. For use in
+        instances when the key is meaningless or arbitrary.
 
     Returns
     =======
@@ -702,9 +709,15 @@ def store_dict_as_TAB_delimited_file(d, output_path, headers=None, file_obj=None
             raise ConfigError("Your header item conversion dict is missing keys for one or "
                               "more headers :/ Here is a list of those that do not have any "
                               "entry in the dictionary you sent: '%s'." % (', '.join(missing_headers)))
-        header_text = '\t'.join([headers[0]] + [header_item_conversion_dict[h] for h in headers[1:]])
+        if do_not_write_key_column:
+            header_text = '\t'.join([header_item_conversion_dict[h] for h in headers[1:]])
+        else:
+            header_text = '\t'.join([headers[0]] + [header_item_conversion_dict[h] for h in headers[1:]])
     else:
-        header_text = '\t'.join(headers)
+        if do_not_write_key_column:
+            header_text = '\t'.join(headers[1:])
+        else:
+            header_text = '\t'.join(headers)
 
     if anvio.AS_MARKDOWN:
         tab = '\t'
@@ -730,7 +743,10 @@ def store_dict_as_TAB_delimited_file(d, output_path, headers=None, file_obj=None
                                   "missing.")
 
     for k in keys_order:
-        line = [str(k)]
+        if do_not_write_key_column:
+            line = []
+        else:
+            line = [str(k)]
         for header in headers[1:]:
             try:
                 val = d[k][header]
@@ -1065,7 +1081,7 @@ def get_names_order_from_newick_tree(newick_tree, newick_format=1, reverse=False
     return list(reversed(names)) if reverse else names
 
 
-def get_vectors_from_TAB_delim_matrix(file_path, cols_to_return=None, rows_to_return=[], transpose=False):
+def get_vectors_from_TAB_delim_matrix(file_path, cols_to_return=None, rows_to_return=[], transpose=False, pad_with_zeros=False):
     filesnpaths.is_file_exists(file_path)
     filesnpaths.is_file_tab_delimited(file_path)
 
@@ -1101,13 +1117,17 @@ def get_vectors_from_TAB_delim_matrix(file_path, cols_to_return=None, rows_to_re
         if rows_to_return and row_name not in rows_to_return:
                 continue
         id_to_sample_dict[id_counter] = row_name
-        fields = line.strip().split('\t')[1:]
+        fields = line.strip('\n').split('\t')[1:]
+
+        # long story.
+        if pad_with_zeros:
+            fields = [0] + fields + [0]
 
         try:
             if fields_of_interest:
-                vector = [float(fields[i]) for i in fields_of_interest]
+                vector = [float(fields[i]) if fields[i] != '' else None for i in fields_of_interest]
             else:
-                vector = [float(f) for f in fields]
+                vector = [float(f) if f != '' else None for f in fields]
         except ValueError:
             raise ConfigError("Matrix should contain only numerical values.")
 
@@ -1288,24 +1308,31 @@ def check_R_packages_are_installed(required_package_dict):
             missing_packages.append(lib)
 
     if missing_packages:
-        raise ConfigError("The following R packages are required in order to run this, but seem to be missing or broken: '%(missing)s'. "
-                          "If you have installed anvi'o through conda, BEFORE ANYTHING ELSE we would suggest you to run the command "
-                          "Rscript -e \"update.packages(repos='https://cran.rstudio.com')\" in your terminal. This will try to update "
-                          "all R libraries on your conda environment and will likely solve this problem. If it doesn't work, then you "
-                          "will need to try a bit harder, so here are some pointers: if you are using conda, in an ideal world you"
-                          "should be able to install these packages by running the following commands: %(conda)s. But if this option "
-                          "doesn't seem to be working for you, then you can also try to install the problem libraries directly through R, "
-                          "for instance by typing in your terminal, Rscript -e 'install.packages(\"%(example)s\", "
-                          "repos=\"https://cran.rstudio.com\")' and see if it will address the installation issue. UNFORTUNATELY, in "
-                          "some cases you may continue to see this error despite the fact that you have these packages installed :/ It "
-                          "would most likely mean that some other issues interfere with their proper usage during run-time. If you have "
-                          "these packages installed but you continue seeing this error, please run in your terminal Rscript -e "
-                          "\"library(%(example)s)\" to see what is wrong with %(example)s on your system. Running this on your "
-                          "terminal will test whether the package is properly loading or not and the resulting error messages will likely "
-                          "be much more helpful solving the issue. Apologies for the frustration. R frustrates everyone." % \
-                                                                  {'missing': ', '.join(missing_packages),
-                                                                   'conda': ', '.join(['"%s"' % required_package_dict[i] for i in missing_packages]),
-                                                                   'example': missing_packages[0]})
+        if len(missing_packages) == 1 and 'qvalue' in missing_packages:
+            raise ConfigError("It seems you're struggling with the R package `qvalue`. It can be a pain to install. In our experience "
+                              "best way to install this package is to do it through Bioconductor directly. For that, please "
+                              "copy-paste this command as a single line into your terminal and run it: "
+                              "Rscript -e 'install.packages(\"BiocManager\", repos=\"https://cran.rstudio.com\"); BiocManager::install(\"qvalue\")'")
+        else:
+            raise ConfigError("The following R packages are required in order to run this, but seem to be missing or broken: '%(missing)s'. "
+                              "If you have installed anvi'o through conda, BEFORE ANYTHING ELSE we would suggest you to run the command "
+                              "Rscript -e \"update.packages(repos='https://cran.rstudio.com')\" in your terminal. This will try to update "
+                              "all R libraries on your conda environment and will likely solve this problem. If it doesn't work, then you "
+                              "will need to try a bit harder, so here are some pointers: if you are using conda, in an ideal world you"
+                              "should be able to install these packages by running the following commands: %(conda)s. But if this option "
+                              "doesn't seem to be working for you, then you can also try to install the problem libraries directly through R, "
+                              "for instance by typing in your terminal, Rscript -e 'install.packages(\"%(example)s\", "
+                              "repos=\"https://cran.rstudio.com\")' and see if it will address the installation issue. UNFORTUNATELY, in "
+                              "some cases you may continue to see this error despite the fact that you have these packages installed :/ It "
+                              "would most likely mean that some other issues interfere with their proper usage during run-time. If you have "
+                              "these packages installed but you continue seeing this error, please run in your terminal Rscript -e "
+                              "\"library(%(example)s)\" to see what is wrong with %(example)s on your system. Running this on your "
+                              "terminal will test whether the package is properly loading or not and the resulting error messages will likely "
+                              "be much more helpful solving the issue. If none of the solutions offered here worked for you, feel free to "
+                              "come to anvi'o Slack and ask around -- others may already have a solution for it already. Apologies for the "
+                              "frustration. R frustrates everyone." % {'missing': ', '.join(missing_packages),
+                                                                       'conda': ', '.join(['"%s"' % required_package_dict[i] for i in missing_packages]),
+                                                                       'example': missing_packages[0]})
     else:
         os.remove(log_file)
 
@@ -1467,7 +1494,7 @@ def get_gene_caller_ids_from_args(gene_caller_ids, delimiter=','):
             gene_caller_ids_set = set([g.strip() for g in gene_caller_ids.split(delimiter)])
 
     try:
-        gene_caller_ids_set = set([int(g) for g in gene_caller_ids_set])
+        gene_caller_ids_set = set([int(float(g)) for g in gene_caller_ids_set])
     except:
         g = gene_caller_ids_set.pop()
         raise ConfigError("The gene calls you provided do not look like gene callers anvi'o is used to working with :/ Here is "
@@ -1598,36 +1625,6 @@ def get_GC_content_for_sequence(sequence):
     return Composition(sequence).GC_content
 
 
-def get_GC_content_for_sequence_as_an_array(sequence, sliding_window_length=100, interval=5):
-    """Unlike `get_GC_content_for_sequence`, this function returns an array for each nt position"""
-
-    if len(sequence) < sliding_window_length:
-        raise ConfigError("The sequence you are try to compute GC content for is shorter than the "
-                          "sliding window length set for this calculation. This is not OK.")
-
-    if interval < 1 or interval > sliding_window_length:
-        raise ConfigError("Your interval can't be smaller than 1 or longer than the sliding window "
-                          "length.")
-
-    sequence = sequence.upper()
-
-    gc_array = []
-    for i in range(0, len(sequence) - sliding_window_length, interval):
-        window = sequence[i:i+sliding_window_length]
-
-        gc = sum(window.count(x) for x in ["G", "C"])
-        at = sum(window.count(x) for x in ["A", "T"])
-
-        try:
-            gc_content = gc / (gc + at)
-        except ZeroDivisionError:
-            gc_content = 0.0
-
-        gc_array.extend([gc_content] * interval)
-
-    return gc_array
-
-
 def get_synonymous_and_non_synonymous_potential(list_of_codons_in_gene, just_do_it=False):
     """
     When calculating pN/pS or dN/dS, the number of variants classified as synonymous or non
@@ -1779,6 +1776,117 @@ def concatenate_files(dest_file, file_list, remove_concatenated_files=False):
     return dest_file
 
 
+def get_stretches_for_numbers_list(numbers_list, discard_singletons=False):
+    """Takes a array of numbers, and turns reports back stretches
+
+    For example, for a `numbers_list` that looks like this:
+
+        >>> [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 15, 16, 17, 18, 99]
+
+    This function will return the following:
+
+        >>> [(2, 12), (15, 18), (99, 99)]
+
+    If the user chooses to `discard_singletons`, then for the same input list,
+    they will get the following:
+
+        >>> [(2, 12), (15, 18), (99, 99)]
+
+    The output of this function can be the input of `merge_stretches` function.
+    """
+
+    if not len(numbers_list):
+        return []
+
+    numbers_list = sorted(numbers_list)
+
+    stretches = []
+    groups = it.groupby(numbers_list, key=lambda item, c=it.count():item-next(c))
+
+    for k, g in groups:
+        stretch = list(g)
+
+        if discard_singletons and len(stretch) == 1:
+            continue
+
+        stretches.append((stretch[0], stretch[-1]), )
+
+    return stretches
+
+
+def merge_stretches(stretches, min_distance_between_independent_stretches=0):
+    """A function to merge stretches of indices in an array.
+
+    It takes an array, `stretches`, that looks like this:
+
+        >>> [(3, 9), (14, 27), (32, 36), (38, 42)]
+
+    And returns an array like this, if `min_distance_between_independent_stretches`, say, 3:
+
+        >>> [(3, 9), (14, 27), (32, 42)]
+
+    If all you have is an array of numbers rather than stretches to be merbed, see
+    the function `get_stretches_for_numbers_list`.
+    """
+
+    if not len(stretches):
+        return None
+
+    if not isinstance(stretches[0], tuple):
+        raise ConfigError("This function expect a list of tuples :/")
+
+    STRETCHES_FINAL = stretches
+    STRETCHES_CURRENT = stretches
+
+    while 1:
+        stretches_to_merge = []
+
+        CURRENT = 0
+        START, END = 0, 1
+        while 1:
+            if not len(STRETCHES_CURRENT):
+                break
+
+            NEXT = CURRENT + 1
+
+            if NEXT == len(STRETCHES_CURRENT):
+                stretches_to_merge.append([STRETCHES_CURRENT[CURRENT]])
+                break
+
+            while 1:
+                if NEXT > len(STRETCHES_CURRENT):
+                    break
+
+                if STRETCHES_CURRENT[NEXT][START] - STRETCHES_CURRENT[CURRENT][END] < min_distance_between_independent_stretches:
+                    NEXT = NEXT + 1
+
+                    if NEXT == len(STRETCHES_CURRENT):
+                        break
+                else:
+                    break
+
+            if NEXT > len(STRETCHES_CURRENT):
+                break
+            elif NEXT - CURRENT == 1:
+                stretches_to_merge.append([STRETCHES_CURRENT[CURRENT]])
+                CURRENT += 1
+            else:
+                stretches_to_merge.append(STRETCHES_CURRENT[CURRENT:NEXT])
+                CURRENT = NEXT
+
+        # here the array `stretches_to_merge` contains all the lists of
+        # stretches that need to be merged.
+        STRETCHES_MERGED = [(s[0][0], s[-1][1]) for s in stretches_to_merge]
+
+        if STRETCHES_FINAL == STRETCHES_MERGED:
+            break
+        else:
+            STRETCHES_FINAL = STRETCHES_MERGED
+            STRETCHES_CURRENT = STRETCHES_MERGED
+
+    return STRETCHES_FINAL
+
+
 def get_chunk(stream, separator, read_size=4096):
     """Read from a file chunk by chunk based on a separator substring
 
@@ -2652,25 +2760,21 @@ def get_bin_name_from_item_name(anvio_db_path, item_name, collection_name=None):
     return rows
 
 
-def get_contig_name_to_splits_dict(splits_basic_info_dict, contigs_basic_info_dict):
-    """
-    Returns a dict for contig name to split name conversion.
+def get_contig_name_to_splits_dict(contigs_db_path):
+    """Returns a dict for contig name to split name conversion"""
 
-    Here are the proper source of the input params:
+    is_contigs_db(contigs_db_path)
 
-        contigs_basic_info_dict = database.get_table_as_dict(t.contigs_info_table_name, string_the_key = True)
-        splits_basic_info_dict  = database.get_table_as_dict(t.splits_info_table_name)
-    """
-    contig_name_to_splits_dict = {}
+    contigs_db = db.DB(contigs_db_path, get_required_version_for_db(contigs_db_path))
 
-    for split_name in splits_basic_info_dict:
-        parent = splits_basic_info_dict[split_name]['parent']
-        if parent in contig_name_to_splits_dict:
-            contig_name_to_splits_dict[parent].append(split_name)
-        else:
-            contig_name_to_splits_dict[parent] = [split_name]
+    contig_name_to_split_names_dict = {}
+    for split_name, contig_name in contigs_db.get_some_columns_from_table(t.splits_info_table_name, "split, parent"):
+        if contig_name not in contig_name_to_split_names_dict:
+            contig_name_to_split_names_dict[contig_name] = set([])
 
-    return contig_name_to_splits_dict
+        contig_name_to_split_names_dict[contig_name].add(split_name)
+
+    return contig_name_to_split_names_dict
 
 
 def check_sample_id(sample_id):
@@ -3202,15 +3306,88 @@ def is_ascii_only(text):
     return all(ord(c) < 128 for c in text)
 
 
+def get_bams_and_profiles_txt_as_data(file_path):
+    """bams-and-profiles.txt is an anvi'o artifact with four columns.
+
+    This function will sanity check one, process it, and return data.
+
+    Updates to this function may require changes in the artifact description at
+    anvio/docs/artifacts/bams-and-profiles-txt.md
+    """
+
+    COLUMN_DATA = lambda x: get_column_data_from_TAB_delim_file(file_path, [columns_found.index(x)])[columns_found.index(x)][1:]
+
+    if not filesnpaths.is_file_tab_delimited(file_path, dont_raise=True):
+        raise ConfigError(f"The bams and profiles txt file must be a TAB-delimited flat text file :/ "
+                          f"The file you have at '{file_path}' is nothing of that sorts.")
+
+    expected_columns = ['name', 'contigs_db_path', 'profile_db_path', 'bam_file_path']
+
+    columns_found = get_columns_of_TAB_delim_file(file_path, include_first_column=True)
+
+    if not set(expected_columns).issubset(set(columns_found)):
+        raise ConfigError(f"A bams and profiles txt file is supposed to have at least the following "
+                          f"{len(expected_columns)} columns: \"{', '.join(expected_columns)}\".")
+
+    names = COLUMN_DATA('name')
+    if len(set(names)) != len(names):
+        raise ConfigError("Every name listed in the `names` column in a bams and profiles txt must be unique :/ "
+                          "You have some redundant names in yours.")
+
+    contigs_db_paths = COLUMN_DATA('contigs_db_path')
+    if len(set(contigs_db_paths)) != 1:
+        raise ConfigError("All single profiles in bams and profiles file must be associated with the same "
+                          "contigs database. Meaning, you have to use the same contigs database path for "
+                          "every entry. Confusing? Yes. Still a rule? Yes.")
+
+    profile_db_paths = COLUMN_DATA('profile_db_path')
+    if len(set(profile_db_paths)) != len(profile_db_paths):
+        raise ConfigError("You listed the same profile database more than once in your bams and profiles txt file :/")
+
+    bam_file_paths = COLUMN_DATA('bam_file_path')
+    if len(set(bam_file_paths)) != len(bam_file_paths):
+        raise ConfigError("You listed the same BAM file more than once in your bams and profiles txt file :/")
+
+    contigs_db_path = contigs_db_paths[0]
+    profiles_and_bams = get_TAB_delimited_file_as_dictionary(file_path)
+    for sample_name in profiles_and_bams:
+        profiles_and_bams[sample_name].pop('contigs_db_path')
+        filesnpaths.is_file_bam_file(profiles_and_bams[sample_name]['bam_file_path'])
+        is_profile_db_and_contigs_db_compatible(profiles_and_bams[sample_name]['profile_db_path'], contigs_db_path)
+
+    # this file can optionally contain `r1` and `r2` for short reads
+    for raw_reads in ['r1', 'r2']:
+        if raw_reads in columns_found:
+            file_paths = COLUMN_DATA(raw_reads)
+            if '' in file_paths:
+                raise ConfigError("If you are using r1/r2 columns in your `bams-and-profiles-txt` file, then you "
+                                  "must have a valid file path for every single sample. In your current file there "
+                                  "are some blank ones. Sorry.")
+            missing_files = [f for f in file_paths if not os.path.exists(f)]
+            if len(missing_files):
+                raise ConfigError(f"Anvi'o could not find some of the {raw_reads.upper()} files listed in your "
+                                  f"`bams-and-profiles-txt` at {file_path} where they were supposed to be: "
+                                  f"{missing_files}.")
+
+    return contigs_db_path, profiles_and_bams
+
+
 def get_samples_txt_file_as_dict(file_path, run=run, progress=progress):
     "Samples txt file is a commonly-used anvi'o artifact to describe FASTQ file paths for input samples"
 
     filesnpaths.is_file_tab_delimited(file_path)
 
-    expected_columns = ['sample', 'r1', 'r2']
+    columns_found = get_columns_of_TAB_delim_file(file_path, include_first_column=True)
+
+    if columns_found[0] == 'sample':
+        expected_columns = ['sample', 'r1', 'r2']
+    elif columns_found[0] == 'name':
+        expected_columns = ['name', 'r1', 'r2']
+    else:
+        raise ConfigError("The first column of any samples-txt must be either `sample` or `name` :/")
+
     possible_columns = expected_columns + ['group']
 
-    columns_found = get_columns_of_TAB_delim_file(file_path, include_first_column=True)
     extra_columns = set(columns_found).difference(set(possible_columns))
 
     if not set(expected_columns).issubset(set(columns_found)):
@@ -3218,9 +3395,10 @@ def get_samples_txt_file_as_dict(file_path, run=run, progress=progress):
 
     if len(extra_columns):
         run.warning(f"Your samples txt file contains {pluralize('extra column', len(extra_columns))}: "
-                    f"{', '.join(extra_columns)}. It is not a deal breaker, so anvi'o will continue with "
-                    f"business, but we wanted you to be aware of the fact that your input file does not "
-                    f"fully match anvi'o expectations from this file type.")
+                    f"{', '.join(extra_columns)} compared to what is expected of a `samples-txt` file, "
+                    f"which is absolutely fine. You're reading this message becasue anvi'o wanted to "
+                    f"make sure you know that it knows that it is the case. Classic anvi'o virtue "
+                    f"signaling.", lc="yellow")
 
     samples_txt = get_TAB_delimited_file_as_dictionary(file_path)
 
@@ -3670,7 +3848,7 @@ def get_HMM_sources_dictionary(source_dirs=[]):
                        and len(w) >= 3 \
                        and w[0] not in '_0123456789'
 
-    R = lambda f: open(os.path.join(source, f), 'rU').readlines()[0].strip()
+    R = lambda f: open(os.path.join(source, f), 'r').readlines()[0].strip()
     for source in source_dirs:
         if source.endswith('/'):
             source = source[:-1]
@@ -3686,7 +3864,7 @@ def get_HMM_sources_dictionary(source_dirs=[]):
         if missing_files:
             raise ConfigError(f"The HMM source '{os.path.basename(source)}' makes anvi'o unhappy. Each HMM source directory "
                               f"must contain a specific set of {len(expected_files)} files, and nothing more. See this URL "
-                              f"for detailes: http://merenlab.org/software/anvio/help/artifacts/hmm-source/")
+                              f"for details: https://anvio.org/help/{anvio.anvio_version_for_help_docs}/artifacts/hmm-source/")
 
         empty_files = [f for f in expected_files if os.stat(os.path.join(source, f)).st_size == 0]
         if empty_files:
@@ -3950,11 +4128,6 @@ def is_profile_db(db_path):
     return True
 
 
-def is_genome_view_db(db_path):
-    dbi(db_path, expecting='genome-view')
-    return True
-
-
 def is_structure_db(db_path):
     dbi(db_path, expecting='structure')
     return True
@@ -4008,15 +4181,25 @@ def is_profile_db_merged(profile_db_path):
 
 
 def is_profile_db_and_contigs_db_compatible(profile_db_path, contigs_db_path):
+    # let's make sure we did get some paths
+    if not profile_db_path or not contigs_db_path:
+        if not profile_db_path and not contigs_db_path:
+            missing = 'any paths for profile-db or contigs-db'
+        else:
+            missing = 'a profile-db path' if not profile_db_path else 'a contigs-db path'
+
+        raise ConfigError(f"A function in anvi'o was about to see if the profile-db and the contigs-db someone "
+                          f"wanted to work with were compatible with one another, but it was called without "
+                          f"{missing} :/")
+
     pdb = dbi(profile_db_path)
     cdb = dbi(contigs_db_path)
 
     if cdb.hash != pdb.hash:
-        raise ConfigError('The contigs database and the profile database does not '
-                          'seem to be compatible. More specifically, this contigs '
-                          'database is not the one that was used when %s generated '
-                          'this profile database (%s != %s).'\
-                               % ('anvi-merge' if pdb.merged else 'anvi-profile', cdb.hash, pdb.hash))
+        raise ConfigError(f"The contigs database and the profile database at '{profile_db_path}' "
+                          f"does not seem to be compatible. More specifically, this contigs "
+                          f"database is not the one that was used when %s generated this profile "
+                          f"database (%s != %s)." % ('anvi-merge' if pdb.merged else 'anvi-profile', cdb.hash, pdb.hash))
     return True
 
 
@@ -4068,6 +4251,11 @@ def get_yaml_as_dict(file_path):
 def download_file(url, output_file_path, check_certificate=True, progress=progress, run=run):
     filesnpaths.is_output_file_writable(output_file_path)
 
+    if anvio.DEBUG:
+        run.warning(None, header="DOWNLOADING FILE", overwrite_verbose=True, nl_before=1)
+        run.info('Source URL', url, overwrite_verbose=True)
+        run.info('Output path', output_file_path, overwrite_verbose=True, nl_after=1)
+
     try:
         if check_certificate:
             response = urllib.request.urlopen(url)
@@ -4482,3 +4670,54 @@ def send(self, to, subject, content):
         self.progress.end()
 
         self.run.info('E-mail', 'Successfully sent to "%s"' % to)
+
+
+def split_by_delim_not_within_parens(d, delims, return_delims=False):
+    """Takes a string, and splits it on the given delimiter(s) as long as the delimeter is not within parentheses.
+
+    This function exists because regular expressions don't handle nested parentheses very well.
+
+    The function can also be used to determine if the parentheses in the string are unbalanced (it will return False
+    instead of the list of splits in this situation)
+
+    PARAMETERS
+    ==========
+    d : str
+        string to split
+    delims : str or list of str
+        a single delimiter, or a list of delimiters, to split on
+    return_delims : boolean
+        if this is true then the list of delimiters found between each split is also returned
+
+    RETURNS
+    =======
+    If parentheses are unbalanced in the string, this function returns False. Otherwise:
+    splits : list
+        strings that were split from d
+    delim_list : list
+        delimiters that were found between each split (only returned if return_delims is True)
+    """
+
+    parens_level = 0
+    last_split_index = 0
+    splits = []
+    delim_list = []
+    for i in range(len(d)):
+        # only split if not within parentheses
+        if d[i] in delims and parens_level == 0:
+            splits.append(d[last_split_index:i])
+            delim_list.append(d[i])
+            last_split_index = i + 1 # we add 1 here to skip the space
+        elif d[i] == "(":
+            parens_level += 1
+        elif d[i] == ")":
+            parens_level -= 1
+
+        # if parentheses become unbalanced, return False to indicate this
+        if parens_level < 0:
+            return False
+    splits.append(d[last_split_index:len(d)])
+
+    if return_delims:
+        return splits, delim_list
+    return splits
diff --git a/anvio/variabilityops.py b/anvio/variabilityops.py
index d5092edecb..cde5a6dab9 100644
--- a/anvio/variabilityops.py
+++ b/anvio/variabilityops.py
@@ -500,7 +500,7 @@ def __init__(self, args={}, p=progress, r=run):
         np.seterr(invalid='ignore')
         self.args = args
 
-        if args.engine not in variability_engines:
+        if self.engine not in variability_engines:
             raise ConfigError("You are doing something wrong :/ Focus '%s' does not correspond to an available engine." % args.engine)
 
         A = lambda x, t: t(args.__dict__[x]) if x in args.__dict__ else None
@@ -1441,7 +1441,7 @@ def compute_additional_fields(self, entry_ids=[]):
         # Since the elements are of type str, the sum operator concatenates the strings together.
         # Finally, if the coverage of the most common item is equal to the total coverage, we pair
         # the most common item with itself.
-        self.data.loc[entry_ids, self.competing_items] = np.sum(np.sort(items_first_and_second.values, axis=1), axis=1) # V/\
+        self.data.loc[entry_ids, self.competing_items] = np.sum(np.sort(items_first_and_second, axis=1), axis=1) # V/\
         self.data.loc[self.data.index.isin(entry_ids) & (self.data["coverage"] == self.data[self.items].max(axis=1)), self.competing_items] = self.data["consensus"]*2
 
         # Loop through each SSM, filling each corresponding column entry by entry using the `apply`
@@ -1970,11 +1970,7 @@ def compute_gene_coverage_fields(self):
         if not self.compute_gene_coverage_stats:
             return
 
-        # Initialize the profile super FIXME This bastard spits out
-        #       Auxiliary Data ...............................: Found: SAR11/AUXILIARY-DATA.db (v. 2)
-        #       Profile Super ................................: Initialized with all 1393 splits: SAR11/PROFILE.db (v. 27)
-        # and it isn't silenced even if self.Run(verbose=False) is passed to the VariabilitySuper class
-        profile_super = dbops.ProfileSuperclass(argparse.Namespace(profile_db = self.profile_db_path))
+        profile_super = dbops.ProfileSuperclass(argparse.Namespace(profile_db = self.profile_db_path), r=terminal.Run(verbose=False), p=self.progress)
 
         self.progress.new('Computing gene coverage stats')
         self.progress.update('... {consider --skip-gene-coverage-stats if taking too long}')
@@ -2005,8 +2001,15 @@ def compute_gene_coverage_fields(self):
                                            column_names = gene_coverage_columns,
                                            func_args = (gene_cov_dict,))
 
-        # this guy piggybacks in this method
-        self.data['mean_normalized_coverage'] = self.data['coverage'] / self.data['gene_coverage']
+        # this guy piggybacks in this method. the following like ensures that if there are genes
+        # with 0 coverage, the code doesn't explode with a ZeroDivisionError, and instead, puts
+        # a 0 for the mean_normalized_coverage column for that gene. this is what we were doing
+        # here at some point:
+        #
+        #     >>> self.data['mean_normalized_coverage'] = self.data['coverage'] / self.data['gene_coverage']
+        #
+        # which killed anvi'o: before: https://github.com/merenlab/anvio/issues/1948.
+        self.data['mean_normalized_coverage'] = self.data['coverage'].divide(self.data['gene_coverage']).replace(np.inf, 0)
         self.data.loc[self.data['gene_coverage'] == -1, 'mean_normalized_coverage'] = -1
 
         self.progress.end()
@@ -2918,10 +2921,44 @@ def __init__(self, args={}, p=progress, r=run):
         null = lambda x: x
         self.input_file_path = A('input_file', null)
         self.samples_information_path = A('samples_information', null)
-        self.max_num_unique_positions = A('max_num_unique_positions', int)
+        self.max_num_unique_positions = A('max_num_unique_positions', int) or 0
         self.output_file_path = A('output_file', null)
+        self.edge_variable = A('edge_variable', null) or 'departure_from_reference'
+        self.export_as_matrix = A('as_matrix', null)
+
+        # if you change something here, please don't forget to update
+        # the file at `anvio/docs/programs/anvi-gen-variability-network.md`
+        self.competing_NT_calculators = {
+             'default':
+                {'f': lambda e: e['competing_nts'],
+                 'description': ("Returns the default competing nucleotides column from the variability "
+                                 "as calculated by anvi'o during profiling.")},
+             'noise-robust':
+                {'f': lambda e: e['competing_nts'] if float(e['departure_from_consensus']) > 0.1 else ''.join(sorted(e['consensus'] + e['reference'])),
+                 'description': ("When depearture from consenus for a given nt position is close to zero, "
+                                 "which means the nt position is almost fixed in the environment the default "
+                                 "way to calculate competing nucleotides can yield noisy results simply due "
+                                 "to the fact that the second most frequenty nucleotide can be driven by "
+                                 "artifacts (such as sequencing error) than biology. For instance, if a given "
+                                 "position that is represented by a nucleotide `G` in the reference has SNV "
+                                 "frequencies of {'A': 1000, 'T': 1, 'C': 0, 'G': 0} in one sample and "
+                                 "{'A': 1000, 'T': 0, 'C': 1, 'G': 0} in the other, the competing nucletoides "
+                                 "for this position in the variability table will be `AT` and `AC`, respectively. "
+                                 "However, some applications, in which competitive nucleotides are used as categorigal "
+                                 "variables to associate samples, may require a more robust apprach. The `noise-robust` "
+                                 "alternative would yield `AG` and `AG` for this position in both samples.")}
+        }
+
+        self.include_competing_NTs = A('include_competing_NTs', null)
 
-        filesnpaths.is_output_file_writable(self.output_file_path)
+        if self.include_competing_NTs and self.include_competing_NTs not in self.competing_NT_calculators:
+            known_calculators = ', '.join([f'"{m}"' for m in self.competing_NT_calculators])
+            raise ConfigError(f"The method you asked for anvi'o to use to determine competing nucleotides is not "
+                              f"among those that anvi'o knows about :/ You asked for '{self.include_competing_NTs}'. "
+                              f"Anvi'o knows about: {known_calculators}.")
+
+        if self.output_file_path:
+            filesnpaths.is_output_file_writable(self.output_file_path)
 
         if self.samples_information_path:
             filesnpaths.is_file_tab_delimited(self.samples_information_path)
@@ -2937,19 +2974,66 @@ def __init__(self, args={}, p=progress, r=run):
             self.data = utils.get_TAB_delimited_file_as_dictionary(self.input_file_path)
             self.progress.end()
 
-            self.run.info('input_file', '%d entries read' % len(self.data))
-
+            # while we are here, we can quickly check whether the `self.edge_variable` is actually
+            # an appropriate one. this is done once again in the function `generate`. it is intentional
+            # and to make sure we both have an early check, and one that is later if the programmer gets
+            # an instant of this class without the data file..
+            self.is_edge_variable_appropriate()
+
+            self.run.info('Input file', '%d entries read' % len(self.data))
+
+
+    def is_edge_variable_appropriate(self):
+        """Chekcs whether the user-defined edge-weight variable occurs in variability data"""
+        an_entry = list(self.data.values())[0]
+
+        if self.edge_variable not in an_entry:
+            somewhat_stupid_options = ['sample_id', 'split_name', 'contig_name', 'competing_nts',
+                                       'reference', 'consensus', 'unique_pos_identifier_str']
+            possible_edge_variables = ', '.join([f"'{v}'" for v in an_entry.keys() if v not in somewhat_stupid_options])
+            raise ConfigError(f"The edge weight variable `{self.edge_variable}` does not seem to be among those "
+                              f"that are represented within the variability data :/ Here is a list of the variables "
+                              f"you could choose from (although not each one of them will be equally useful to serve as "
+                              f"edge weights in the resulting network, but anvi'o leaves the responsibility to choose "
+                              f"something relevant completely to you and will not scrutinize your decision): "
+                              f"{possible_edge_variables}.")
+        else:
+            return True
 
     def generate(self):
+        """Where the magic happens"""
+
+        if self.include_competing_NTs:
+            # if the user requests competing NTs to be included, then we need a calculator for that
+            competing_NT_calculator = self.competing_NT_calculators[self.include_competing_NTs]['f']
+
+            # another convenience here is the following lambda function that will generate a
+            # label for a given SNV entry
+            D = lambda e: f"{competing_NT_calculator(e)}_{e['pos']}_{e['corresponding_gene_call'] if e['corresponding_gene_call'] != '-1' else 'NA'}"
+
+            self.run.info("Competing NT calculator enabled?", f"Yes, and it will use the apprach '{self.include_competing_NTs}'", mc='green')
+        else:
+            D = None
+            self.run.info("Competing NT calculator enabled?", "No")
+
         if not self.data:
             raise ConfigError("There is nothing to report. Either the input file you provided was empty, or you "
                                "haven't filled in the variable positions data into the class.")
 
+        # now we certainly have self.data, so it is a good time to check the edge weight
+        # variable
+        self.is_edge_variable_appropriate()
+        self.run.info("Edge variable", f"'{self.edge_variable}'")
+
         if self.max_num_unique_positions < 0:
             raise ConfigError("Max number of unique positions cannot be less than 0.. Obviously :/")
 
         self.samples = sorted(list(set([e['sample_id'] for e in list(self.data.values())])))
-        self.run.info('samples', '%d found: %s.' % (len(self.samples), ', '.join(self.samples)))
+        num_samples = len(self.samples)
+        if num_samples > 5:
+            self.run.info('Samples found', f"A total of {len(self.samples)}. Here is the first five: {', '.join(self.samples[0:5])} ...")
+        else:
+            self.run.info('Samples found', f"A total of {len(self.samples)}: {', '.join(self.samples)}")
 
         if self.samples_information_dict:
             samples_missing_in_information_dict = [s for s in self.samples if s not in self.samples_information_dict]
@@ -2960,8 +3044,12 @@ def generate(self):
                                    "however, you are missing these ones from your samples information: %s."\
                                                 % (', '.join(samples_missing_in_information_dict)))
 
-        self.unique_variable_nt_positions = set([e['unique_pos_identifier'] for e in list(self.data.values())])
-        self.run.info('unique_variable_nt_positions', '%d found.' % (len(self.unique_variable_nt_positions)))
+        if self.include_competing_NTs:
+            self.unique_variable_nt_positions = set([D(e) for e in list(self.data.values())])
+        else:
+            self.unique_variable_nt_positions = set([e['unique_pos_identifier'] for e in list(self.data.values())])
+
+        self.run.info('Unique variable NT positions', f"{len(self.unique_variable_nt_positions)}.")
 
         if self.max_num_unique_positions and len(self.unique_variable_nt_positions) > self.max_num_unique_positions:
             self.unique_variable_nt_positions = set(random.sample(self.unique_variable_nt_positions, self.max_num_unique_positions))
@@ -2978,16 +3066,27 @@ def generate(self):
         self.progress.update('Updating the dictionary with data')
         for entry in list(self.data.values()):
             sample_id = entry['sample_id']
-            pos = entry['unique_pos_identifier']
-            frequency = entry['departure_from_reference']
 
-            samples_dict[sample_id][pos] = float(frequency)
+            if self.include_competing_NTs:
+                variable_position = D(entry)
+            else:
+                variable_position = entry['unique_pos_identifier']
+
+            edge_weight = entry[self.edge_variable]
+
+            samples_dict[sample_id][variable_position] = float(edge_weight)
 
         self.progress.update('Generating the network file')
-        utils.gen_gexf_network_file(sorted(list(self.unique_variable_nt_positions)), samples_dict, self.output_file_path, sample_mapping_dict=self.samples_information_dict)
+        unique_variable_nt_positions = sorted(list(self.unique_variable_nt_positions))
+        if self.export_as_matrix:
+            temp_file_path = filesnpaths.get_temp_file_path()
+            utils.store_dict_as_TAB_delimited_file(samples_dict, headers=['items'] + unique_variable_nt_positions, output_path=temp_file_path)
+            utils.transpose_tab_delimited_file(temp_file_path, output_file_path=self.output_file_path, remove_after=True)
+        else:
+            utils.gen_gexf_network_file(unique_variable_nt_positions, samples_dict, self.output_file_path, sample_mapping_dict=self.samples_information_dict)
         self.progress.end()
 
-        self.run.info('network_description', self.output_file_path)
+        self.run.info('Output file', self.output_file_path)
 
 
 class VariabilityData(NucleotidesEngine, CodonsEngine, AminoAcidsEngine):
@@ -3092,6 +3191,7 @@ def __init__(self, args={}, p=progress, r=run):
 
         if not self.min_coverage_in_each_sample:
             self.min_coverage_in_each_sample = min_cov_default
+            self.args.min_coverage_in_each_sample = min_cov_default
             self.run.warning("--min-coverage-in-each-sample is a required parameter. Anvi'o has set this "
                              "to %d on your behalf." % min_cov_default)
 
@@ -3351,12 +3451,15 @@ def _calculate_synonymous_fraction(counts_array, comparison_array, coverage, cod
         comp = comparison_array[i] # The codon to be compared against
         num_nonsyn, num_syn = 0, 0
 
-        if comp < 0:
-            # No sense talking about synonymity relative to a stop codon or codon containing N
-            num_nonsyns.append(np.nan)
-            num_syns.append(np.nan)
+        cov = coverage[i]
+
+        if cov <= 0 or comp < 0:
+            # No sense talking about synonymity relative to a stop codon or codon containing N,
+            # or deal with positions with no sensible coverage. See the the following issue
+            # for the details of what made `cov <= 0` necessary: https://github.com/merenlab/anvio/issues/1948
+            num_nonsyns.append(0)
+            num_syns.append(0)
         else:
-            cov = coverage[i]
 
             for codon in codon_nums:
                 if codon == comp:
@@ -3364,7 +3467,7 @@ def _calculate_synonymous_fraction(counts_array, comparison_array, coverage, cod
                     # differ from the reference codon
                     continue
 
-                contribution = counts_array[i, codon]/cov
+                contribution = counts_array[i, codon] / cov
 
                 if is_synonymous[comp, codon]:
                     num_syn += contribution
diff --git a/anvio/workflows/__init__.py b/anvio/workflows/__init__.py
index 02b59ad1fc..f4d153664e 100644
--- a/anvio/workflows/__init__.py
+++ b/anvio/workflows/__init__.py
@@ -70,7 +70,7 @@ def __init__(self):
 
         # if this class is being inherited from a snakefile that was 'included' from
         # within another snakefile.
-        self.slave_mode = A('slave_mode')
+        self.this_workflow_is_inherited_by_another = A('this_workflow_is_inherited_by_another')
 
         if self.config_file:
             filesnpaths.is_file_json_formatted(self.config_file)
@@ -87,7 +87,7 @@ def __init__(self):
                 raise ConfigError(f"Anvi'o couldn't get things moving because the version of your config file is out "
                                   f"of date (your version: {self.config['config_version']}; up-to-date version: "
                                   f"{workflow_config_version}). Not a problem though, simply run `anvi-migrate {self.config_file} "
-                                  f"--migrate-dbs-safely` and it will be updated. Then re-run the command producing "
+                                  f"--migrate-safely` and it will be updated. Then re-run the command producing "
                                   f"this error message.")
 
         self.rules = []
@@ -134,7 +134,7 @@ def init(self):
         os.makedirs(self.dirs_dict["LOGS_DIR"], exist_ok=True)
 
         # lets check everything
-        if not self.slave_mode:
+        if not self.this_workflow_is_inherited_by_another:
             self.check_config()
             self.check_rule_params()
 
@@ -163,10 +163,107 @@ def warn_user_regarding_param_with_wildcard_default_value(self, rule_name, param
                               'parameter: %s, %s' % (rule_name, param))
         check_for_risky_param_change(self.config, rule_name, param, wildcard_name, default_value)
 
- 
+
+    def get_max_num_cpus_requested_by_the_workflow(self):
+        """A semi-smart heuristic to find out what we shold set for `--cores`.
+
+        If the user has defined an additional parameter '--cores', or '-c' in their `anvi-run-workflow`
+        command, then we are all good: that is our max threads value. The only thing this function in that
+        case would be to make sure that value exceeds the maximum number of threads asked for by any rule.
+
+        If there are no `--cores` or `-c` parameter among additional params, then we have to figure
+        something out and send it to snakemake. In that case this function will check if the user set a
+        global `max_threads` pameter (and that it exceeds the number of threads asked for by any rule),
+        and send that value to snakemake.
+
+        If there are no `--cores` or `-c` parameter among additional params, and there is no value set
+        for the global `max_threads` in the config file, then this function will find the max num threads
+        requested by any rule, and will send it to snakeamke as the max num CPUs.
+        """
+
+        # figure out whether the user sent `--cores` or `-c` as additional params
+        if self.additional_params and '--cores' in self.additional_params:
+            num_cores_additional_param = self.additional_params[self.additional_params.index('--cores') + 1]
+        elif self.additional_params and '-c' in self.additional_params:
+            num_cores_additional_param = self.additional_params[self.additional_params.index('-c') + 1]
+        else:
+            num_cores_additional_param = None
+
+        if num_cores_additional_param:
+            try:
+                num_cores_additional_param = int(num_cores_additional_param)
+            except:
+                raise ConfigError(f"So anvi'o was trying to make sense of the `--cores` value you set via the "
+                                  f"`--additional-params` mechanism in your command, but this is what it found "
+                                  f"there instead of a proper integer: '{num_cores_additional_param}' :( Anvi'o "
+                                  f"is not sure if it is you who is screwing something up, or it is anvi'o :/")
+
+        # figure out the maximum number of threads requested by any single job
+        max_num_threads_set_by_any_rule = 0
+        rule_name_for_max_num_threads_value = None
+        for rule in self.rules:
+            threads = A([rule, 'threads'], self.config)
+
+            if not threads:
+                continue
+            else:
+                threads = int(threads)
+
+            if threads > max_num_threads_set_by_any_rule:
+                max_num_threads_set_by_any_rule = threads
+                rule_name_for_max_num_threads_value = rule
+
+        # if the user set `--cores`, make sure that value is larger than the max_num_threads_set_by_any_rule
+        if num_cores_additional_param:
+            if num_cores_additional_param < max_num_threads_set_by_any_rule:
+                raise ConfigError(f"Funny story here. You've set the max number of CPUs to be used for your workflow to "
+                                  f"{num_cores_additional_param} via the `--cores` additional parameter. But then, the "
+                                  f"rule {rule_name_for_max_num_threads_value} is asking for {max_num_threads_set_by_any_rule}. "
+                                  f"Das ist nicht gut. Please either decrease the number of threads for your rule, or "
+                                  f"increase the number of CPUs you are asking from your system to make sure your job is "
+                                  f"not going to get killed by a manager process later.")
+            else:
+                # the user set `--cores`, all good here. We will return nothing, and therefore we will not
+                # add any additional parameter to our call.
+                return None
+
+        # if we are here, it means the user did not set a `--cores` parameter through the additional params
+        # mechanism. we basically need to figure out the maximum number of threads set as a global parameter
+        global_max_threads_value = None
+        if 'max_threads' in self.config and self.config.get('max_threads'):
+            global_max_threads_value = int(self.config.get('max_threads'))
+        else:
+            global_max_threads_value = None
+
+        # now it is time to make a suggestion as our max threads value for snakemake so it can be set as `--cores` argument.`
+        if not global_max_threads_value:
+            if max_num_threads_set_by_any_rule == 0:
+                raise ConfigError("You have not set a global `max_threads` value in your config and none of "
+                                  "your rules includes a value for their `threads`. In this case it is impossible "
+                                  "to determine the maximum number of CPU cores we should ask snakemake to use to run your "
+                                  "workflow :/ Please either define a `max_threads` value in your config file, OR include "
+                                  "a `--cores XX` parameter via the `--additional-params` mechanism of `anvi-run-workflow`, "
+                                  "where XX is the maximum number of CPUs you wish to assign to this job.")
+            else:
+                self.run.warning(f"You haven't set a global `max_threads` value in your config file, and you haven't declared the "
+                                 f"maximum number of CPUs you wish to assign to this job via `--cores`.  But anvi'o found out "
+                                 f"that for the rule `{rule_name_for_max_num_threads_value}` you asked for {max_num_threads_set_by_any_rule} "
+                                 f"threads , which is the largest number of threads among all rules. So, anvi'o will set up your job by "
+                                 f"passing {max_num_threads_set_by_any_rule} as the maximum number of CPU cores to be used by your workflow. "
+                                 f"If you'd like to assign more resources for your workflow, please either use the global `max_threads` "
+                                 f"parameter in your config file, or include a `--cores XX` parameter via the `--additional-params` "
+                                 f"mechanism, where XX is the maximum number of CPUs you wish to assign to this job.",
+                                 header="MAX NUMBER OF CPU CORES HEURISTIC", lc="green")
+                return max_num_threads_set_by_any_rule
+        else:
+            return global_max_threads_value
+
+
     def go(self, skip_dry_run=False):
         """Do the actual running"""
 
+        max_num_cpus_requested_by_the_workflow = self.get_max_num_cpus_requested_by_the_workflow()
+
         self.sanity_checks()
 
         if self.save_workflow_graph or (not skip_dry_run):
@@ -190,11 +287,17 @@ def go(self, skip_dry_run=False):
             sys.argv.extend(self.additional_params)
 
         if self.list_dependencies:
-            sys.argv.extend(['--dryrun', '--printshellcmds'])
+            if max_num_cpus_requested_by_the_workflow:
+                sys.argv.extend(['--dryrun', '--printshellcmds', '--cores', f'{max_num_cpus_requested_by_the_workflow}'])
+            else:
+                sys.argv.extend(['--dryrun', '--printshellcmds'])
             snakemake.main()
             sys.exit(0)
         else:
-            sys.argv.extend(['-p'])
+            if max_num_cpus_requested_by_the_workflow:
+                sys.argv.extend(['-p', '--cores', f'{max_num_cpus_requested_by_the_workflow}'])
+            else:
+                sys.argv.extend(['-p'])
             snakemake.main()
 
         # restore the `sys.argv` to the original for the sake of sakity (totally made up word,
@@ -211,7 +314,7 @@ def dry_run(self, workflow_graph_output_file_path_prefix='workflow'):
            snake file `get_workflow_snake_file_path(self.name)`, it can be called with
            a compiled snakemake `workflow` instance."""
 
-        if self.slave_mode:
+        if self.this_workflow_is_inherited_by_another:
             return
 
         self.progress.new('Bleep bloop')
@@ -244,14 +347,16 @@ def dry_run(self, workflow_graph_output_file_path_prefix='workflow'):
 
             if u.is_program_exists('dot', dont_raise=True):
                 dot_log_file = filesnpaths.get_temp_file_path()
-                u.run_command(['dot', '-Tpng', workflow_graph_output_file_path_prefix + '.dot', '-o', workflow_graph_output_file_path_prefix + '.png'], dot_log_file)
+                u.run_command(['dot', '-Tpdf', workflow_graph_output_file_path_prefix + '.dot', '-o', workflow_graph_output_file_path_prefix + '.pdf'], dot_log_file)
                 os.remove(dot_log_file)
-                self.run.info('Workflow PNG file', workflow_graph_output_file_path_prefix + '.png')
+                self.run.info('Workflow PDF file', workflow_graph_output_file_path_prefix + '.pdf')
             else:
-                self.run.warning("Well, anvi'o was going to try to save a nice PNG file for your workflow "
-                                 "graph, but clearly you don't have `dot` installed on your system. That's OK. You "
-                                 "have your dot file now, and you can Google 'how to view dot file on [your operating "
-                                 "system goes here]', and install necessary programs (like .. `dot`).")
+                self.run.warning("Well, anvi'o was going to try to save a nice PDF file for your workflow "
+                                 "graph, but clearly you don't have `dot` installed on your system. If you "
+                                 "install `graphviz` (i.e., by running \"mamba install -c conda-forge graphviz\" "
+                                 "or \"conda install -c conda-forge graphviz\") you will no longer see this "
+                                 "message, and instead get your workflow as a PDF file (alternatively you can "
+                                 "always vuew the file `workflow.dot` using any dot viewer).")
 
         os.remove(log_file_path)
 
@@ -273,7 +378,7 @@ def check_workflow_program_dependencies(self, snakemake_workflow_object, dont_ra
           See https://github.com/merenlab/anvio/issues/1316 for discussion.
         """
 
-        if self.slave_mode:
+        if self.this_workflow_is_inherited_by_another:
             return
 
         shell_programs_needed = [r.shellcmd.strip().split()[0] for r in snakemake_workflow_object.rules if r.shellcmd]
@@ -633,7 +738,7 @@ def get_workflow_snake_file_path(workflow):
     workflow_dir = os.path.join(get_path_to_workflows_dir(), workflow)
 
     if not os.path.isdir(workflow_dir):
-        raise ConfigError("Anvi'o does not know about the workflow '%s' :/")
+        raise ConfigError("Anvi'o does not know about the workflow '%s' :/" % workflow)
 
     snakefile_path = os.path.join(workflow_dir, 'Snakefile')
 
@@ -665,18 +770,19 @@ def get_fields_for_fasta_information():
 
 
 def get_workflow_module_dict():
-
     from anvio.workflows.contigs import ContigsDBWorkflow
     from anvio.workflows.metagenomics import MetagenomicsWorkflow
     from anvio.workflows.pangenomics import PangenomicsWorkflow
     from anvio.workflows.phylogenomics import PhylogenomicsWorkflow
     from anvio.workflows.trnaseq import TRNASeqWorkflow
+    from anvio.workflows.ecophylo import EcoPhyloWorkflow
 
     workflows_dict = {'contigs': ContigsDBWorkflow,
                       'metagenomics': MetagenomicsWorkflow,
                       'pangenomics': PangenomicsWorkflow,
                       'phylogenomics': PhylogenomicsWorkflow,
-                      'trnaseq': TRNASeqWorkflow}
+                      'trnaseq': TRNASeqWorkflow,
+                      'ecophylo': EcoPhyloWorkflow}
 
     return workflows_dict
 
diff --git a/anvio/workflows/contigs/Snakefile b/anvio/workflows/contigs/Snakefile
index 60ab3aa9ca..995491c9e0 100644
--- a/anvio/workflows/contigs/Snakefile
+++ b/anvio/workflows/contigs/Snakefile
@@ -21,11 +21,11 @@ __email__ = "alon.shaiber@gmail.com"
 
 run = terminal.Run()
 
-slave_mode = False if 'workflows/contigs' in workflow.included[0] else True
-if not slave_mode:
+this_workflow_is_inherited_by_another = False if 'anvio/workflows/contigs' in str(workflow.included[0].abspath()) else True
+if not this_workflow_is_inherited_by_another:
     # don't be confused, child. when things come to this point, the variable `config`
     # is already magically filled in by snakemake:
-    M = ContigsDBWorkflow(argparse.Namespace(config=config, slave_mode=slave_mode))
+    M = ContigsDBWorkflow(argparse.Namespace(config=config, this_workflow_is_inherited_by_another=this_workflow_is_inherited_by_another))
     M.init()
     dirs_dict = M.dirs_dict
 
@@ -374,7 +374,6 @@ rule anvi_run_ncbi_cogs:
     params:
         # anvi-run-ncbi-cogs params. See anvi-run-ncbi-cogs help menu for more info.
         cog_data_dir = M.get_rule_param('anvi_run_ncbi_cogs', '--cog-data-dir'),
-        sensitive = M.get_rule_param('anvi_run_ncbi_cogs', '--sensitive'),
         temporary_dir_path = M.get_rule_param('anvi_run_ncbi_cogs', '--temporary-dir-path'),
         search_with = M.get_rule_param('anvi_run_ncbi_cogs', '--search-with')
     threads: M.T('anvi_run_ncbi_cogs')
@@ -382,7 +381,6 @@ rule anvi_run_ncbi_cogs:
     shell: w.r("""anvi-run-ncbi-cogs -c {input.contigs} \
                                      -T {threads} \
                                      {params.cog_data_dir} \
-                                     {params.sensitive} \
                                      {params.temporary_dir_path} \
                                      {params.search_with} >> {log} 2>&1""")
 
@@ -493,7 +491,7 @@ rule gen_external_genome_file:
                 f.write("%s\t%s\n" % (name, path))
 
 
-if 'workflows/contigs' in workflow.included[0]:
+if 'anvio/workflows/contigs' in str(workflow.included[0].abspath()):
     # check if all program dependencies are met. for this line to be effective,
     # there should be an initial dry run step (which is the default behavior of
     # the `WorkflowSuperClass`, so you are most likely covered).
diff --git a/anvio/workflows/contigs/__init__.py b/anvio/workflows/contigs/__init__.py
index 9a0f2e85ba..320f652022 100644
--- a/anvio/workflows/contigs/__init__.py
+++ b/anvio/workflows/contigs/__init__.py
@@ -64,7 +64,7 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
                                     "emapper": {"--database": "bact", "--usemem": True, "--override": True},
                                     "anvi_script_run_eggnog_mapper": {"--use-version": "0.12.6"}})
 
-        self.rule_acceptable_params_dict['anvi_run_ncbi_cogs'] = ['run', '--cog-data-dir', '--sensitive', '--temporary-dir-path', '--search-with']
+        self.rule_acceptable_params_dict['anvi_run_ncbi_cogs'] = ['run', '--cog-data-dir', '--temporary-dir-path', '--search-with']
 
         self.rule_acceptable_params_dict['anvi_run_scg_taxonomy'] = ['run', '--scgs-taxonomy-data-dir']
 
diff --git a/anvio/workflows/ecophylo/Snakefile b/anvio/workflows/ecophylo/Snakefile
index 017a25cc0c..f65354328d 100644
--- a/anvio/workflows/ecophylo/Snakefile
+++ b/anvio/workflows/ecophylo/Snakefile
@@ -12,8 +12,8 @@ import anvio.utils as u
 import anvio.workflows as w
 
 from Bio import SeqIO
-from anvio.dbops import ContigsDatabase
 from anvio.errors import ConfigError
+from anvio.dbops import ContigsDatabase
 from anvio.workflows.ecophylo import EcoPhyloWorkflow
 
 __author__ = "Matthew S. Schechter"
@@ -44,17 +44,21 @@ rule anvi_run_hmms_hmmsearch:
     log: os.path.join(dirs_dict['LOGS_DIR'], "anvi_run_hmms_hmmsearch-{sample_name}-{HMM}.log")
     input:
     output:
-        done = os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], "{sample_name}-{HMM}-dom_hmmsearch/contigs-hmmsearch.done"),
+        done = os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], "{sample_name}-{HMM}-dom_hmmsearch", "{sample_name}-{HMM}-contigs-hmmsearch.done"),
     params:
         hmm_source = M.get_param_value_from_config(['anvi_run_hmms_hmmsearch', '--installed-hmm-profile']),
         additional_params = M.get_param_value_from_config(['trim_alignment', 'additional_params'])
-    threads: M.T('anvi_run_hmms_hmmsearch')
     run:
         contigsDB = os.path.join(M.contigsDB_name_path_dict[wildcards.sample_name])
         HMM_dir = os.path.join(M.HMM_path_dict[wildcards.HMM])
         HMM_source = M.HMM_source_dict[wildcards.HMM]
-        hmmer_output_dir = os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], f"{wildcards.sample_name}-{HMM_source}-dom_hmmsearch")
-        domtblout = os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], f"{wildcards.sample_name}-{HMM_source}-dom_hmmsearch/hmm.domtable")
+        hmmer_output_dir = os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], f"{wildcards.sample_name}-{wildcards.HMM}-dom_hmmsearch")
+        domtblout = os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], f"{wildcards.sample_name}-{wildcards.HMM}-dom_hmmsearch/hmm.domtable")
+
+        if wildcards.sample_name in M.metagenomes_name_list:
+            threads = M.get_param_value_from_config(['anvi_run_hmms_hmmsearch', 'threads_metagenomes']),
+        else:
+            threads = M.get_param_value_from_config(['anvi_run_hmms_hmmsearch', 'threads_genomes']),
 
         # Run different HMM search depending on whether a HMM is internal or external because anvio
         if HMM_source in M.internal_HMM_sources:
@@ -105,17 +109,16 @@ rule filter_hmm_hits_by_query_coverage:
     input:
         done = rules.anvi_run_hmms_hmmsearch.output.done,
     output:
-        done = os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], "{sample_name}-{HMM}-DB_filtered.done")
+        done = os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], "{sample_name}-{HMM}-dom_hmmsearch", "{sample_name}-{HMM}-filter_hmm_hits.done")
     params:
         query_coverage = M.get_param_value_from_config(['filter_hmm_hits_by_query_coverage', '--query-coverage']),
         additional_params = M.get_param_value_from_config(['filter_hmm_hits_by_query_coverage', 'additional_params'])
     threads: M.T('filter_hmm_hits_by_query_coverage')
     run:
         contigsDB = os.path.join(M.contigsDB_name_path_dict[wildcards.sample_name])
-        HMM_source = M.HMM_source_dict[wildcards.HMM]
         HMM_dir = os.path.join(M.HMM_path_dict[wildcards.HMM])
         HMM_source = M.HMM_source_dict[wildcards.HMM]
-        domtblout = os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], f"{wildcards.sample_name}-{HMM_source}-dom_hmmsearch/hmm.domtable")
+        domtblout = os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], f"{wildcards.sample_name}-{wildcards.HMM}-dom_hmmsearch/hmm.domtable")
 
         if HMM_source in M.internal_HMM_sources:
             shell(f"anvi-script-filter-hmm-hits-table -c {contigsDB} \
@@ -150,7 +153,7 @@ rule anvi_get_sequences_for_hmm_hits:
     input:
         done_file = rules.filter_hmm_hits_by_query_coverage.output.done,
     output:
-        done = touch(os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], "{sample_name}", "{sample_name}-{HMM}-hmm_hits.faa.done")),
+        done = touch(os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], "{sample_name}", "{sample_name}-{HMM}-hmm_hits.done")),
         faa = os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], "{sample_name}", "{sample_name}-{HMM}-hmm_hits.faa"),
         fna = os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], "{sample_name}", "{sample_name}-{HMM}-hmm_hits.fna"),
     threads: M.T('anvi_get_sequences_for_hmm_hits')
@@ -213,13 +216,13 @@ rule simplify_names_from_hmm_hits:
                               -o {output.fasta_AA} >> {log} 2>&1")
 
 
-rule cat_sequences_to_one_fasta:
+rule combine_sequence_data:
     """
     Cat all sequences and reformat_files from seperate metagenomes, genomes, SAGs, or MAGs into one fasta
     """
 
     version: 1.0
-    log: os.path.join(dirs_dict['LOGS_DIR'], "cat_sequences_to_one_fasta_{HMM}.log")
+    log: os.path.join(dirs_dict['LOGS_DIR'], "combine_sequence_data_{HMM}.log")
     input:
         NT = expand(os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], "{sample_names}", "{sample_names}-{{HMM}}-hmm_hits_renamed.fna"), sample_names = M.names_list),
         AA = expand(os.path.join(dirs_dict['EXTRACTED_RIBO_PROTEINS_DIR'], "{sample_names}", "{sample_names}-{{HMM}}-hmm_hits_renamed.faa"), sample_names = M.names_list),
@@ -227,15 +230,18 @@ rule cat_sequences_to_one_fasta:
     output:
         NT_all = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-all.fna"),
         AA_all = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-all.faa"),
-        reformat_report_all = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-reformat-report-all.txt"),
-    threads: M.T('cat_sequences_to_one_fasta')
+        reformat_report_all = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-reformat-report-all.txt")
+    threads: M.T('combine_sequence_data')
     run:
-        shell(f"cat {input.NT} >> {output.NT_all}")
-
-        shell(f"cat {input.AA} >> {output.AA_all}")
-
-        shell(f"cat {input.reformat_report_list} >> {output.reformat_report_all}")
-
+        with open(output.NT_all, "a") as NT_output:
+            for f in input.NT:
+                NT_output.write(open(f).read())
+        with open(output.AA_all, "a") as AA_all:
+            for f in input.AA:
+                AA_all.write(open(f).read())
+        with open(output.reformat_report_all, "a") as reformat_report_all:
+            for f in input.reformat_report_list:
+                reformat_report_all.write(open(f).read())
 
 rule anvi_get_external_gene_calls_file:
     """Extract external_gene_calls table from all samples"""
@@ -285,7 +291,13 @@ rule cat_external_gene_calls_file:
         external_gene_calls_all = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-external_gene_calls_all.tsv"),
     threads: M.T('cat_external_gene_calls_file')
     run:
-        shell(f"cat {input.external_gene_calls_renamed} >> {output.external_gene_calls_all} 2> {log}")
+        col_names = ["gene_callers_id", "contig", "start", "stop", "direction", "partial", "call_type", "source", "version", "aa_sequence"]
+        with open(output.external_gene_calls_all, "a") as external_gene_calls_all:
+                external_gene_calls_all.write('\t'.join(col_names) + "\n")
+                for f in input.external_gene_calls_renamed:
+                    file = open(f).read().splitlines(True)
+                    external_gene_calls_all.writelines(file[1:])
+                    # external_gene_calls_all.writelines(line + '\n' for line in file[1:]) # write without header
 
 
 rule cluster_X_percent_sim_mmseqs:
@@ -296,7 +308,7 @@ rule cluster_X_percent_sim_mmseqs:
 
     version: 1.0
     log: os.path.join(dirs_dict['LOGS_DIR'], "cluster_X_mmseqs_{HMM}.log")
-    input: rules.cat_sequences_to_one_fasta.output.NT_all
+    input: rules.combine_sequence_data.output.NT_all
     output: 
         fasta = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-mmseqs_NR_rep_seq.fasta"),
         mmseqs_cluster_rep_index = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-mmseqs_NR_cluster.tsv")
@@ -312,6 +324,32 @@ rule cluster_X_percent_sim_mmseqs:
                                     --threads {threads} \
                                     --min-seq-id {params.min_seq_id} >> {log} 2>&1")
 
+
+rule cluster_X_percent_sim_mmseqs_OTUs:
+    """
+    Cluster extracted proteins within percent ID parameter space provided by user. This will 
+    help identify clustering thresholds for OTU like analyses.
+    """
+
+    version: 1.0
+    log: os.path.join(dirs_dict['LOGS_DIR'], "cluster_X_mmseqs_{HMM}_{clustering_threshold}.log")
+    input: rules.combine_sequence_data.output.NT_all
+    output: 
+        fasta = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{clustering_threshold}", "{HMM}-{clustering_threshold}-mmseqs_NR_rep_seq.fasta"),
+        mmseqs_cluster_rep_index = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{clustering_threshold}", "{HMM}-{clustering_threshold}-mmseqs_NR_cluster.tsv")
+    params:
+        output_prefix = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{clustering_threshold}", "{HMM}-{clustering_threshold}-mmseqs_NR"),
+        mmseqs_tmp = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{clustering_threshold}", "{HMM}-{clustering_threshold}-tmp"),
+    threads: M.T('cluster_X_percent_sim_mmseqs')
+    run:
+        min_seq_id = M.clustering_threshold_dict[wildcards.clustering_threshold]
+        shell("mmseqs easy-cluster {input} \
+                                    {params.output_prefix} \
+                                    {params.mmseqs_tmp} \
+                                    --threads {threads} \
+                                    --min-seq-id {min_seq_id} >> {log} 2>&1")
+
+
 if M.cluster_representative_method == "cluster_rep_with_coverages":
     rule anvi_profile_blitz:
         """
@@ -410,7 +448,7 @@ if M.cluster_representative_method == "cluster_rep_with_coverages":
         version: 1.0
         log: os.path.join(dirs_dict['LOGS_DIR'], "subset_AA_seqs_with_coverage_reps_{HMM}.log")
         input:
-            fa = rules.cat_sequences_to_one_fasta.output.AA_all,
+            fa = rules.combine_sequence_data.output.AA_all,
             coverage_reps = rules.pick_cluster_rep_with_coverage.output.coverage_reps,
         output:
             fasta = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-AA_subset.fa"),
@@ -426,7 +464,7 @@ if M.cluster_representative_method == "mmseqs":
         version: 1.0
         log: os.path.join(dirs_dict['LOGS_DIR'], "subset_AA_seqs_with_mmseqs_reps_{HMM}.log")
         input:
-            fa = rules.cat_sequences_to_one_fasta.output.AA_all,
+            fa = rules.combine_sequence_data.output.AA_all,
             mmseqs_reps = rules.cluster_X_percent_sim_mmseqs.output.fasta,
         output:
             fasta = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-AA_subset.fa"),
@@ -440,7 +478,7 @@ if M.cluster_representative_method == "mmseqs":
 
 rule align_sequences:
     """MSA of AA sequences subset."""
-    
+
     version: 1.0
     log: os.path.join(dirs_dict['LOGS_DIR'], "align_sequences_{HMM}.log")
     input: os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-AA_subset.fa"),
@@ -463,11 +501,8 @@ rule trim_alignment:
         gappyout = M.get_rule_param('trim_alignment', '-gappyout'),
         additional_params = M.get_param_value_from_config(['trim_alignment', 'additional_params'])
     threads: M.T('trim_alignment')
-    shell:
-        'trimal -in {input} \
-                -out {output} \
-                {params.gappyout} \
-                {params.additional_params} 2> {log}'
+    run:
+        shell('trimal -in {input} -out {output} {params.gappyout} {params.additional_params} 2> {log}')
 
 
 rule remove_sequences_with_X_percent_gaps:
@@ -476,16 +511,16 @@ rule remove_sequences_with_X_percent_gaps:
     version: 1.0
     log: os.path.join(dirs_dict['LOGS_DIR'], "remove_sequences_with_X_percent_gaps_{HMM}.log")
     input: rules.trim_alignment.output
-    output: os.path.join(dirs_dict['MSA'], "{HMM}", "{HMM}_aligned_trimmed_filtered.fa")
+    output: 
+        fasta = os.path.join(dirs_dict['MSA'], "{HMM}", "{HMM}_aligned_trimmed_filtered.fa")
     params:
         seq_counts_tsv = os.path.join(dirs_dict['MSA'], "{HMM}", "{HMM}_gaps_counts"),
         max_percentage_gaps = M.get_param_value_from_config(['remove_sequences_with_X_percent_gaps', '--max-percentage-gaps'])
     threads: M.T('remove_sequences_with_X_percent_gaps')
-	shell:
-		"anvi-script-reformat-fasta {input} \
-									-o {output} \
-									--max-percentage-gaps {params.max_percentage_gaps} \
-									--export-gap-counts-table {params.seq_counts_tsv} >> {log} 2>&1"
+	run:
+		shell("anvi-script-reformat-fasta {input} -o {output.fasta} \
+									              --max-percentage-gaps {params.max_percentage_gaps} \
+									              --export-gap-counts-table {params.seq_counts_tsv} >> {log} 2>&1")
 
 
 rule count_num_sequences_filtered:
@@ -496,7 +531,8 @@ rule count_num_sequences_filtered:
     input:
         step1 = rules.combine_sequence_data.output.NT_all,
         step2 = rules.cluster_X_percent_sim_mmseqs.output.fasta,
-        step3 = rules.remove_sequences_with_X_percent_gaps.output
+        step3 = rules.remove_sequences_with_X_percent_gaps.output.fasta,
+        clustering_thresholds = expand(os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{{HMM}}", "{clustering_threshold}", "{{HMM}}-{clustering_threshold}-mmseqs_NR_rep_seq.fasta"), clustering_threshold = M.clustering_param_space_list_strings),
     output: os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_MSA_STATS'], "{HMM}", "{HMM}_stats.tsv")
     threads: M.T('count_num_sequences_filtered')
     run:
@@ -507,21 +543,24 @@ rule count_num_sequences_filtered:
                     num_seqs += 1
             return num_seqs
 
-        with open(input.step1) as fasta:
-            step1_num_seqs = count_num_sequences(fasta)
-
-        with open(input.step2) as fasta:
-            step2_num_seqs = count_num_sequences(fasta)
+        input_files_list = [input.step1, input.step2, input.step3]
+        num_seqs_list = [count_num_sequences(open(fasta)) for fasta in input_files_list]
 
-        with open(input.step3[0]) as fasta:
-            step3_num_seqs = count_num_sequences(fasta)
+        clustering_threshold_attributes_list = []
+        for file in input.clustering_thresholds:
+            path = file
+            threshold = file.split("/")[3]
+            with open(file) as fasta:
+                num_seqs = count_num_sequences(fasta)
+            clustering_threshold_attributes = [str(threshold), str(num_seqs), path]
+            clustering_threshold_attributes_list.append(clustering_threshold_attributes)
 
         with open(output[0], 'w') as f:
             col_names = ["rule_name", "num_sequences_left", "rel_path"]
-            step1 = ["num_input_seqs", str(step1_num_seqs), input.step1]
-            step2 = ["num_input_seqs", str(step2_num_seqs), input.step2]
-            step3 = ["num_input_seqs", str(step3_num_seqs), input.step3[0]]
-            lines = [col_names, step1, step2, step3]
+            step1 = ["combine_sequence_data", str(num_seqs_list[0]), input.step1]
+            step2 = ["cluster_X_percent_sim_mmseqs", str(num_seqs_list[1]), input.step2]
+            step3 = ["remove_sequences_with_X_percent_gaps", str(num_seqs_list[2]), input.step3]
+            lines = [col_names, step1, step2, step3] + clustering_threshold_attributes_list 
             for line in lines:
                 f.write('\t'.join(line) + '\n')
 
@@ -532,7 +571,7 @@ rule subset_DNA_reps_with_QCd_AA_reps_for_mapping:
     version: 1.0
     log: os.path.join(dirs_dict['LOGS_DIR'], "subset_DNA_reps_with_QCd_AA_reps_for_mapping_{HMM}.log")
     input:
-        fasta = rules.cat_sequences_to_one_fasta.output.NT_all,
+        fasta = rules.combine_sequence_data.output.NT_all,
         reps = rules.remove_sequences_with_X_percent_gaps.output
     output:
         NT_for_mapping = os.path.join(dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], "{HMM}", "{HMM}-references_for_mapping_NT.fa"),
@@ -601,13 +640,8 @@ if M.run_iqtree == True:
           model = M.get_param_value_from_config(['iqtree', '-m']),
           additional_params = M.get_param_value_from_config(['iqtree', 'additional_params'])
       threads: M.T('iqtree')
-      shell:
-          "iqtree -s {input} \
-                  -nt AUTO \
-                  -m {params.model} \
-                  -pre {params.outfile} \
-                  -T AUTO \
-                  {params.additional_params} >> {log} 2>&1"
+      run:
+          shell('iqtree -s {input} -nt AUTO -m {params.model} -pre {params.outfile}  -T AUTO {params.additional_params} >> {log} 2>&1')
 
 elif M.run_fasttree == True:
   rule fasttree:
@@ -778,7 +812,7 @@ rule anvi_scg_taxonomy:
     log: os.path.join(dirs_dict['LOGS_DIR'], "anvi_scg_taxonomy_{HMM}.log")
     input:
         misc_data = rules.make_misc_data.output.misc_data_final,
-        reformat_file = rules.cat_sequences_to_one_fasta.output.reformat_report_all,
+        reformat_file = rules.combine_sequence_data.output.reformat_report_all,
     params:
         combined_genomes_txt = "combined_genomes.txt",
         taxonomy = os.path.join(dirs_dict['MISC_DATA'], "{HMM}_estimate_scg_taxonomy_results"),
@@ -839,8 +873,8 @@ rule anvi_scg_taxonomy:
 
 
 if M.samples_txt_file:
-    # DEFAULT-MODE with read recruitment
-    include: "rules/default_mode.smk"
+    # PROFILE-MODE with read recruitment
+    include: "rules/profile_mode.smk"
 else:
     # TREE-MODE
-    include: "rules/tree_mode.smk"
+    include: "rules/tree_mode.smk"
\ No newline at end of file
diff --git a/anvio/workflows/ecophylo/__init__.py b/anvio/workflows/ecophylo/__init__.py
index 4f42f2a5e9..79cb8267fe 100644
--- a/anvio/workflows/ecophylo/__init__.py
+++ b/anvio/workflows/ecophylo/__init__.py
@@ -41,7 +41,7 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
                            'filter_hmm_hits_by_query_coverage',
                            'anvi_get_sequences_for_hmm_hits',
                            'simplify_names_from_hmm_hits',
-                           'cat_sequences_to_one_fasta',
+                           'combine_sequence_data',
                            'anvi_get_external_gene_calls_file',
                            'cat_external_gene_calls_file',
                            'cluster_X_percent_sim_mmseqs',
@@ -76,14 +76,15 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
         # Parameters for each rule that are accessible in the config.json file
         rule_acceptable_params_dict = {}
 
-        rule_acceptable_params_dict['anvi_run_hmms_hmmsearch'] = ['additional_params']
-        rule_acceptable_params_dict['filter_hmm_hits_by_query_coverage'] = ['--query-coverage', 'additional_params']
-        rule_acceptable_params_dict['cluster_X_percent_sim_mmseqs'] = ['--min-seq-id']
+        rule_acceptable_params_dict['anvi_run_hmms_hmmsearch'] = ['threads_genomes', 'threads_metagenomes', 'additional_params']
+        rule_acceptable_params_dict['filter_hmm_hits_by_query_coverage'] = ['--query-coverage', 'clustering_threshold_for_OTUs', 'additional_params']
+        rule_acceptable_params_dict['cluster_X_percent_sim_mmseqs'] = ['--min-seq-id', 'clustering_threshold_for_OTUs']
+        rule_acceptable_params_dict['align_sequences'] = ['additional_params']
         rule_acceptable_params_dict['trim_alignment'] = ['-gt', "-gappyout", 'additional_params']
         rule_acceptable_params_dict['remove_sequences_with_X_percent_gaps'] = ['--max-percentage-gaps']
         rule_acceptable_params_dict['fasttree'] = ['run']
         rule_acceptable_params_dict['iqtree'] = ['run', '-m', 'additional_params']
-        rule_acceptable_params_dict['run_metagenomics_workflow'] = ['clusterize', 'cluster_submission_params']
+        rule_acceptable_params_dict['run_metagenomics_workflow'] = ['clusterize', 'cluster_submission_params', 'snakemake_additional_params']
 
         self.rule_acceptable_params_dict.update(rule_acceptable_params_dict)
 
@@ -94,16 +95,16 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
             'hmm_list': 'hmm_list.txt',
             'samples_txt': 'samples.txt',
             'cluster_representative_method': {'method': 'mmseqs'},
-            'anvi_run_hmms_hmmsearch': {'threads': 5},
+            'anvi_run_hmms_hmmsearch': {'threads_genomes': 1, 'threads_metagenomes': 5},
             'filter_hmm_hits_by_query_coverage': {'threads': 5, '--query-coverage': 0.8},
             'anvi_get_sequences_for_hmm_hits': {'threads': 2},
             'simplify_names_from_hmm_hits': {'threads': 2},
-            'cat_sequences_to_one_fasta': {'threads': 2},
+            'combine_sequence_data': {'threads': 2},
             'anvi_get_external_gene_calls_file': {'threads': 5},
             'cat_external_gene_calls_file': {'threads': 2},
-            'cluster_X_percent_sim_mmseqs': {'threads': 5, '--min-seq-id': 0.94},
+            'cluster_X_percent_sim_mmseqs': {'threads': 5, '--min-seq-id': 0.94, 'clustering_threshold_for_OTUs': [0.99, 0.98, 0.97]},
             'subset_AA_seqs_with_mmseqs_reps': {'threads': 2},
-            'align_sequences': {'threads': 5},
+            'align_sequences': {'threads': 5, 'additional_params': '-maxiters 1 -diags -sv -distance1 kbit20_3'},
             'trim_alignment': {'threads': 5, '-gappyout': True},
             'remove_sequences_with_X_percent_gaps': {'threads': 5, '--max-percentage-gaps': 50},
             'count_num_sequences_filtered': {'threads': 5},
@@ -287,6 +288,7 @@ def init(self):
         # Decide to clusterize metagenomic workflow
         self.clusterize_metagenomics_workflow = self.get_param_value_from_config(['run_metagenomics_workflow', 'clusterize'])
         self.metagenomics_workflow_HPC_string = self.get_param_value_from_config(['run_metagenomics_workflow', 'cluster_submission_params'])
+        self.snakemake_additional_params = self.get_param_value_from_config(['run_metagenomics_workflow', 'snakemake_additional_params'])
 
         # Pick clustering method
         self.cluster_representative_method = self.get_param_value_from_config(['cluster_representative_method', 'method'])
@@ -299,6 +301,18 @@ def init(self):
             raise ConfigError(f"The EcoPhylo workflow can't use the cluster representative method cluster_rep_with_coverages without BAM files..."
                               f"Please edit your metagenomes.txt or external-genomes.txt and add BAM files.")
 
+        # Parse clustering parameter space
+        self.clustering_param_space = self.get_param_value_from_config(['cluster_X_percent_sim_mmseqs', 'clustering_threshold_for_OTUs'])
+        for count, number in enumerate(self.clustering_param_space):
+            if type(number) != float:
+                raise ConfigError(f"Element number {count} ({number}) in your clustering_threshold_for_OTUs argument does not appear to be an float. Please provide "
+                                  f"a clustering threshold in decimal format i.e. 90% as 0.90")
+            if number > 1:
+                raise ConfigError(f"The number {number} in your clustering_threshold_for_OTUs argument is not less that one. Please provide "
+                                  f"a clustering threshold in decimal format i.e. 90% as 0.90")
+        self.clustering_param_space_list_strings = [str(format(clustering_threshold, '.2f')).split(".")[1] + "_percent" for clustering_threshold in self.clustering_param_space]
+        self.clustering_threshold_dict = dict(zip(self.clustering_param_space_list_strings, self.clustering_param_space))
+
         self.target_files = self.get_target_files()
 
     def get_target_files(self):
@@ -306,8 +320,16 @@ def get_target_files(self):
 
         for HMM in self.HMM_source_dict.keys():
 
+            # Clustering parameter space
+            for clustering_threshold in self.clustering_param_space_list_strings:
+                target_file = os.path.join(self.dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], f"{HMM}", f"{clustering_threshold}", f"{HMM}-{clustering_threshold}-mmseqs_NR_rep_seq.fasta")
+                target_files.append(target_file)
+
+                target_file = os.path.join(self.dirs_dict['RIBOSOMAL_PROTEIN_FASTAS'], f"{HMM}", f"{clustering_threshold}", f"{HMM}-{clustering_threshold}-mmseqs_NR_cluster.tsv")
+                target_files.append(target_file)
+
             if not self.samples_txt_file:
-                # Just making trees
+                # TREE-MODE
                 target_file = os.path.join(self.dirs_dict['TREES'], f"{HMM}", f"{HMM}_renamed.nwk")
                 target_files.append(target_file)
                 
@@ -317,12 +339,15 @@ def get_target_files(self):
                 target_file = os.path.join("ECOPHYLO_WORKFLOW", f"{HMM}_anvi_estimate_scg_taxonomy_for_SCGs.done")
                 target_files.append(target_file)
 
-                target_file = os.path.join("ECOPHYLO_WORKFLOW", f"{HMM}_state_imported.done")
+                target_file = os.path.join("ECOPHYLO_WORKFLOW", f"{HMM}_state_imported_tree.done")
+                target_files.append(target_file)
+
+                target_file = os.path.join("ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW", "fasta.txt")
                 target_files.append(target_file)
             
             else:
-                # Making trees AND profiling SCGs
-                target_file = os.path.join("ECOPHYLO_WORKFLOW", f"{HMM}_state_imported.done")
+                # PROFILE-MODE
+                target_file = os.path.join("ECOPHYLO_WORKFLOW", f"{HMM}_state_imported_profile.done")
                 target_files.append(target_file)
 
                 target_file = os.path.join(self.dirs_dict['TREES'], f"{HMM}", f"{HMM}_renamed.nwk")
diff --git a/anvio/workflows/ecophylo/rules/default_mode.smk b/anvio/workflows/ecophylo/rules/profile_mode.smk
similarity index 95%
rename from anvio/workflows/ecophylo/rules/default_mode.smk
rename to anvio/workflows/ecophylo/rules/profile_mode.smk
index c01adc876b..07280ed3b5 100644
--- a/anvio/workflows/ecophylo/rules/default_mode.smk
+++ b/anvio/workflows/ecophylo/rules/profile_mode.smk
@@ -29,6 +29,7 @@ rule make_metagenomics_config_file:
         config_dict['anvi_run_scg_taxonomy']['run'] = False
         config_dict['iu_filter_quality_minoche']['run'] = False
         config_dict['anvi_profile']['--min-contig-length'] = 0
+        config_dict['anvi_profile']['--profile-SCVs'] = True
         config_dict['bowtie']['threads'] = 5
         config_dict['bowtie_build']['threads'] = 5
         config_dict['anvi_gen_contigs_database']['threads'] = 5
@@ -54,7 +55,8 @@ rule run_metagenomics_workflow:
     output:
         done = touch(os.path.join("ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW", "metagenomics_workflow.done"))
     params:
-        HPC_string = M.metagenomics_workflow_HPC_string
+        HPC_string = M.metagenomics_workflow_HPC_string,
+        snakemake_additional_params = M.snakemake_additional_params 
     threads: M.T('run_metagenomics_workflow')
     run:
 
@@ -68,12 +70,12 @@ rule run_metagenomics_workflow:
         shell("mkdir -p METAGENOMICS_WORKFLOW/00_LOGS && touch {log}")
 
         if M.clusterize_metagenomics_workflow == True:
-            shell('cd ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW/ && anvi-run-workflow -w metagenomics -c metagenomics_config.json --additional-params --cluster \'clusterize -j={{rule}} -o={{log}} -n={{threads}} -x\' --cores 200 --resource nodes=200 --latency-wait 100 --keep-going --rerun-incomplete &> {log} && cd -')
+            shell('cd ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW/ && anvi-run-workflow -w metagenomics -c metagenomics_config.json --additional-params --cluster \'clusterize -j={{rule}} -o={{log}} -n={{threads}} -x\' {params.snakemake_additional_params} --latency-wait 100 --keep-going --rerun-incomplete &> {log} && cd -')
         elif M.metagenomics_workflow_HPC_string:
             HPC_string = params.HPC_string
-            shell('cd ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW/ && anvi-run-workflow -w metagenomics -c metagenomics_config.json --additional-params --cluster \'{HPC_string}\' --cores 200 --resource nodes=200 --latency-wait 100 --keep-going --rerun-incomplete &> {log} && cd -')
+            shell('cd ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW/ && anvi-run-workflow -w metagenomics -c metagenomics_config.json --additional-params --cluster \'{HPC_string}\' {params.snakemake_additional_params} --latency-wait 100 --keep-going --rerun-incomplete &> {log} && cd -')
         else:
-            shell("cd ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW/ && anvi-run-workflow -w metagenomics -c metagenomics_config.json -A --rerun-incomplete --latency-wait 100 --keep-going && cd -")
+            shell("cd ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW/ && anvi-run-workflow -w metagenomics -c metagenomics_config.json -A {params.snakemake_additional_params} --rerun-incomplete --latency-wait 100 --keep-going && cd -")
         
 
 rule add_default_collection:
@@ -283,7 +285,7 @@ rule anvi_import_everything_metagenome:
         profileDB = os.path.join("ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW/06_MERGED", "{HMM}", "PROFILE.db"),
         tree_profileDB = os.path.join(dirs_dict['TREES'], "{HMM}", "{HMM}-PROFILE.db")
     output: 
-        touch(os.path.join("ECOPHYLO_WORKFLOW", "{HMM}_state_imported.done")),
+        touch(os.path.join("ECOPHYLO_WORKFLOW", "{HMM}_state_imported_profile.done")),
 
     threads: M.T('anvi_import_state')
     run:
diff --git a/anvio/workflows/ecophylo/rules/tree_mode.smk b/anvio/workflows/ecophylo/rules/tree_mode.smk
index 8893e864d9..1802311cbd 100644
--- a/anvio/workflows/ecophylo/rules/tree_mode.smk
+++ b/anvio/workflows/ecophylo/rules/tree_mode.smk
@@ -163,7 +163,7 @@ rule anvi_import_everything_tree:
         tax_data_final = rules.anvi_scg_taxonomy.params.tax_data_final,
         tree_profileDB = os.path.join(dirs_dict['TREES'], "{HMM}", "{HMM}-PROFILE.db")
     output: 
-        touch(os.path.join("ECOPHYLO_WORKFLOW", "{HMM}_state_imported.done")),
+        touch(os.path.join("ECOPHYLO_WORKFLOW", "{HMM}_state_imported_tree.done")),
 
     threads: M.T('anvi_import_state')
     run:
diff --git a/anvio/workflows/metagenomics/Snakefile b/anvio/workflows/metagenomics/Snakefile
index f13073184e..1166fa1b9f 100755
--- a/anvio/workflows/metagenomics/Snakefile
+++ b/anvio/workflows/metagenomics/Snakefile
@@ -31,9 +31,9 @@ __email__ = "alon.shaiber@gmail.com"
 run = terminal.Run()
 progress = terminal.Progress()
 
-slave_mode = False if 'workflows/metagenomics' in workflow.included[0] else True
+this_workflow_is_inherited_by_another = False if 'anvio/workflows/metagenomics' in str(workflow.included[0].abspath()) else True
 
-if not slave_mode:
+if not this_workflow_is_inherited_by_another:
     # it is important that this comes before the include statement since
     # M is defined here and will also be used in the contigs workflow
     M = MetagenomicsWorkflow(argparse.Namespace(config=config))
@@ -1284,7 +1284,7 @@ rule anvi_cluster_contigs:
                                        {params.additional_params} >> {log} 2>&1""")
 
 
-if 'workflows/metagenomics' in workflow.included[0]:
+if 'anvio/workflows/metagenomics' in str(workflow.included[0].abspath()):
     # check if all program dependencies are met. for this line to be effective,
     # there should be an initial dry run step (which is the default behavior of
     # the `WorkflowSuperClass`, so you are most likely covered).
diff --git a/anvio/workflows/pangenomics/Snakefile b/anvio/workflows/pangenomics/Snakefile
index 77d53eb36b..5d905bdef0 100644
--- a/anvio/workflows/pangenomics/Snakefile
+++ b/anvio/workflows/pangenomics/Snakefile
@@ -20,9 +20,9 @@ __email__ = "alon.shaiber@gmail.com"
 
 run = terminal.Run()
 
-slave_mode= False if 'workflows/pangenomics' in workflow.included[0] else True
+this_workflow_is_inherited_by_another= False if 'anvio/workflows/pangenomics' in str(workflow.included[0].abspath()) else True
 
-if not slave_mode:
+if not this_workflow_is_inherited_by_another:
     M = PangenomicsWorkflow(argparse.Namespace(config=config))
     M.init()
     dirs_dict = M.dirs_dict
@@ -54,7 +54,6 @@ rule anvi_pan_genome:
         mcl_inflation = M.get_rule_param("anvi_pan_genome", "--mcl-inflation"),
         min_occurrence = M.get_rule_param("anvi_pan_genome", "--min-occurrence"),
         min_percent_identity = M.get_rule_param("anvi_pan_genome", "--min-percent-identity"),
-        sensitive = M.get_rule_param("anvi_pan_genome", "--sensitive"),
         description = M.get_rule_param("anvi_pan_genome", "--description"),
         overwrite_output_destinations = M.get_rule_param("anvi_pan_genome", "--overwrite-output-destinations"),
         skip_hierarchical_clustering = M.get_rule_param("anvi_pan_genome", "--skip-hierarchical-clustering"),
@@ -67,7 +66,7 @@ rule anvi_pan_genome:
             anvi-pan-genome -g {input} --num-threads {threads} -o {params.output_dir} --project-name {params.project_name} {params.genome_names}\
             {params.skip_alignments} {params.align_with} {params.exclude_partial_gene_calls}\
             {params.use_ncbi_blast} {params.minbit} {params.mcl_inflation}\
-            {params.min_occurrence} {params.min_percent_identity} {params.sensitive}\
+            {params.min_occurrence} {params.min_percent_identity} \
             {params.description} {params.overwrite_output_destinations}\
             {params.skip_hierarchical_clustering} {params.enforce_hierarchical_clustering}\
             {params.distance} {params.linkage} >> {log} 2>&1
@@ -93,7 +92,7 @@ rule anvi_gen_genomes_storage:
                                      {params.gene_caller} >> {log} 2>&1
         """
 
-if 'workflows/pangenomics' in workflow.included[0]:
+if 'anvio/workflows/pangenomics' in str(workflow.included[0].abspath()):
     M.check_workflow_program_dependencies(workflow)
 
 
diff --git a/anvio/workflows/pangenomics/__init__.py b/anvio/workflows/pangenomics/__init__.py
index 43fcdc5d63..990c0f8c90 100644
--- a/anvio/workflows/pangenomics/__init__.py
+++ b/anvio/workflows/pangenomics/__init__.py
@@ -64,7 +64,7 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
         pan_params = ["--project-name", "--genome-names", "--skip-alignments",\
                      "--align-with", "--exclude-partial-gene-calls", "--use-ncbi-blast",\
                      "--minbit", "--mcl-inflation", "--min-occurrence",\
-                     "--min-percent-identity", "--sensitive", "--description",\
+                     "--min-percent-identity", "--description",\
                      "--overwrite-output-destinations", "--skip-hierarchical-clustering",\
                      "--enforce-hierarchical-clustering", "--distance", "--linkage"]
         self.rule_acceptable_params_dict['anvi_pan_genome'] = pan_params
diff --git a/anvio/workflows/phylogenomics/Snakefile b/anvio/workflows/phylogenomics/Snakefile
index 0f8679e669..77fea62973 100644
--- a/anvio/workflows/phylogenomics/Snakefile
+++ b/anvio/workflows/phylogenomics/Snakefile
@@ -21,11 +21,11 @@ __email__ = "alon.shaiber@gmail.com"
 
 run = terminal.Run()
 
-slave_mode = False if 'workflows/phylogenomics' in workflow.included[0] else True
-if not slave_mode:
+this_workflow_is_inherited_by_another = False if 'anvio/workflows/phylogenomics' in str(workflow.included[0].abspath()) else True
+if not this_workflow_is_inherited_by_another:
     # don't be confused, child. when things come to this point, the variable `config`
     # is already magically filled in by snakemake:
-    M = PhylogenomicsWorkflow(argparse.Namespace(config=config, slave_mode=slave_mode))
+    M = PhylogenomicsWorkflow(argparse.Namespace(config=config, this_workflow_is_inherited_by_another=this_workflow_is_inherited_by_another))
     M.init()
     dirs_dict = M.dirs_dict
     include: w.get_workflow_snake_file_path('contigs')
@@ -103,7 +103,7 @@ rule iqtree:
         """
 
 
-if 'workflows/phylogenomics' in workflow.included[0]:
+if 'anvio/workflows/phylogenomics' in str(workflow.included[0].abspath()):
     # check if all program dependencies are met. for this line to be effective,
     # there should be an initial dry run step (which is the default behavior of
     # the `WorkflowSuperClass`, so you are most likely covered).
diff --git a/anvio/workflows/trnaseq/Snakefile b/anvio/workflows/trnaseq/Snakefile
index 6c14110e6d..e17ee3bd9e 100644
--- a/anvio/workflows/trnaseq/Snakefile
+++ b/anvio/workflows/trnaseq/Snakefile
@@ -268,7 +268,7 @@ rule anvi_run_trna_taxonomy:
     shell: "anvi-run-trna-taxonomy -c {params.contigs_db_path} {params.min_percent_identity} {params.max_num_target_sequences} {params.write_buffer_size} --all-hits-output-file {params.all_hits_output_file} -T {threads} >> {log} 2>&1"
 
 
-if 'workflows/trnaseq' in workflow.included[0]:
+if 'anvio/workflows/trnaseq' in str(workflow.included[0].abspath()):
     # Check if all program dependencies are met.
     # For this line to be effective, there should be an initial dry run step --
     # which is the default behavior of `WorkflowSuperClass`, so you are most likely covered.
diff --git a/bin/anvi-compute-gene-cluster-homogeneity b/bin/anvi-compute-gene-cluster-homogeneity
index 927d1340e0..976d1c6b74 100755
--- a/bin/anvi-compute-gene-cluster-homogeneity
+++ b/bin/anvi-compute-gene-cluster-homogeneity
@@ -86,7 +86,7 @@ def main(args):
             if len(columns) != 1:
                 raise ConfigError("The input file for gene cluster IDs must contain a single column. It seems yours has %d :/" % len(columns))
 
-            gene_cluster_ids = set([p.strip('\n') for p in open(args.gene_cluster_ids_file, 'rU').readlines()])
+            gene_cluster_ids = set([p.strip('\n') for p in open(args.gene_cluster_ids_file).readlines()])
             run.info('Mode', 'Reporting homogeneity for a list of gene clusters from an input file.')
     else:
         pan = dbops.PanSuperclass(args, r=terminal.Run(verbose=False))
diff --git a/bin/anvi-compute-metabolic-enrichment b/bin/anvi-compute-metabolic-enrichment
index 6b28eb4cdf..3a0768ddb1 100755
--- a/bin/anvi-compute-metabolic-enrichment
+++ b/bin/anvi-compute-metabolic-enrichment
@@ -1,6 +1,6 @@
 #!/usr/bin/env python
 # -*- coding: utf-8
-"""A program that computes metabolic enrichment acros groups of genomes and metagenomes"""
+"""A program that computes metabolic enrichment across groups of genomes and metagenomes"""
 
 import sys
 
@@ -22,13 +22,13 @@ __resources__ = [("A description of the enrichment script run by this program ca
 __tags__ = ["metabolism"]
 __requires__ = ['kegg-metabolism', 'groups-txt', 'external-genomes', 'internal-genomes', 'functions']
 __provides__ = ['functional-enrichment-txt']
-__description__ = ("A program that computes metabolic enrichment acros groups of genomes and metagenomes")
+__description__ = ("A program that computes metabolic enrichment across groups of genomes and metagenomes")
 
 run = terminal.Run()
 progress = terminal.Progress()
 
 def main(args):
-    # make sure the output files is not going to overwrite anything
+    # make sure the output file is not going to overwrite anything
     if filesnpaths.is_file_exists(args.output_file, dont_raise=True):
         raise ConfigError(f"There is already a file at '{args.output_file}' :/ Anvi'o has a thing against overwriting existing files. "
                           f"Please remove the exiting file first, or give a different output file name to this program.")
@@ -55,8 +55,8 @@ if __name__ == '__main__':
     groupO.add_argument(*anvio.A('output-file'), **anvio.K('output-file', {'required': True}))
 
     groupE = parser.add_argument_group('OPTIONAL OPTIONS', "If you want it, here it is, come and get it.")
-    groupB.add_argument(*anvio.A('sample-header'), **anvio.K('sample-header'))
-    groupB.add_argument(*anvio.A('module-completion-threshold'), **anvio.K('module-completion-threshold',
+    groupE.add_argument(*anvio.A('sample-header'), **anvio.K('sample-header'))
+    groupE.add_argument(*anvio.A('module-completion-threshold'), **anvio.K('module-completion-threshold',
                                 {'help': "This threshold defines the percent completeness score at which we consider a KEGG module to be 'present'"
                                          "in a given sample. That is, if a module's completeness in a sample is less than this value, then we say "
                                          "the module is not present in that sample, and this will affect the module's enrichment score. "
@@ -65,7 +65,8 @@ if __name__ == '__main__':
                                          "any groups). Note that the closer this number is to 0, the more meaningless this whole enrichment analysis is... "
                                          "but hey, this is your show. This threshold CAN be different from the completeness threshold used in `anvi-estimate-metabolism` "
                                          "if you wish. The default threshold is %(default)g."}))
-    groupB.add_argument(*anvio.A('include-samples-missing-from-groups-txt'), **anvio.K('include-samples-missing-from-groups-txt'))
+    groupE.add_argument(*anvio.A('use-stepwise-completeness'), **anvio.K('use-stepwise-completeness'))
+    groupE.add_argument(*anvio.A('include-samples-missing-from-groups-txt'), **anvio.K('include-samples-missing-from-groups-txt'))
     groupE.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
 
     args = parser.get_args(parser)
diff --git a/bin/anvi-estimate-metabolism b/bin/anvi-estimate-metabolism
index e8c36ca296..6503384d4b 100755
--- a/bin/anvi-estimate-metabolism
+++ b/bin/anvi-estimate-metabolism
@@ -75,6 +75,8 @@ if __name__ == '__main__':
     groupC.add_argument(*anvio.A('output-file-prefix'), **anvio.K('output-file-prefix'))
     groupC.add_argument(*anvio.A('include-zeros'), **anvio.K('include-zeros'))
     groupC.add_argument(*anvio.A('only-complete'), **anvio.K('only-complete'))
+    groupC.add_argument(*anvio.A('add-copy-number'), **anvio.K('add-copy-number'))
+    groupC.add_argument(*anvio.A('include-kos-not-in-kofam'), **anvio.K('include-kos-not-in-kofam'))
 
     groupL = parser.add_argument_group('OUTPUT - LONG-FORMAT OPTIONS', "Parameters for controlling long-format output (the default).")
     groupL.add_argument(*anvio.A('kegg-output-modes'), **anvio.K('kegg-output-modes'))
diff --git a/bin/anvi-export-locus b/bin/anvi-export-locus
index 07d6da95d3..7f00b63186 100755
--- a/bin/anvi-export-locus
+++ b/bin/anvi-export-locus
@@ -91,7 +91,6 @@ if __name__ == '__main__':
     groupD.add_argument(*anvio.A('hmm-sources'), **anvio.K('hmm-sources'))
     groupD.add_argument(*anvio.A('list-hmm-sources'), **anvio.K('list-hmm-sources'))
     groupD.add_argument(*anvio.A('annotation-sources'), **anvio.K('annotation-sources'))
-    groupD.add_argument(*anvio.A('overwrite-output-destinations'), **anvio.K('overwrite-output-destinations'))
     groupD.add_argument(*anvio.A('remove-partial-hits'), **anvio.K('remove-partial-hits'))
     groupD.add_argument(*anvio.A('never-reverse-complement'), **anvio.K('never-reverse-complement'))
 
diff --git a/bin/anvi-export-table b/bin/anvi-export-table
index a523100bf8..645d1b62ad 100755
--- a/bin/anvi-export-table
+++ b/bin/anvi-export-table
@@ -28,49 +28,95 @@ progress = terminal.Progress()
 
 
 def main(args):
-    filesnpaths.is_file_exists(args.db_path)
-    database = db.DB(args.db_path, None, ignore_version=True)
+    A = lambda x: args.__dict__[x] if x in args.__dict__ else None
+    args_db_path = A('db_path')
+    args_table = A('table')
+    args_list = A('list')
+    args_fields = A('fields')
+    args_output_file = A('output_file')
+    args_matrix_format = A('matrix_format')
+    args_index = A('index')
+    args_columns = A('columns')
+    args_values = A('values')
+
+    if args_index or args_columns or args_values:
+        if not args_matrix_format:
+            raise ConfigError("The parameters `--index`, `--column`, or `--values` are only relevant if you are also "
+                              "asking your output to be reported in `--matrix-format`.")
+        if not (args_index and args_columns and args_values):
+            raise ConfigError("If you define any of these parameters, then you must define all of them: "
+                              "`--index`, `--column`, `--values`.")
+
+    filesnpaths.is_file_exists(args_db_path)
+    database = db.DB(args_db_path, None, ignore_version=True)
     tables_in_database = database.get_table_names()
 
-    if args.list and not args.table:
+    if args_list and not args_table:
         for table in tables_in_database:
             print(table)
         sys.exit()
 
-
-    if not args.table:
+    if not args_table:
         raise ConfigError("You must specify a table name.")
 
-    if args.table not in tables_in_database:
-        raise ConfigError("Table '%s' is not seem to be in this databse :/" % args.table)
+    if args_table not in tables_in_database:
+        raise ConfigError("Table '%s' is not seem to be in this databse :/" % args_table)
 
-    run.info('Database', '"%s" has been initiated with its %d tables.' % (args.db_path, len(tables_in_database)))
+    run.info('Database', '"%s" has been initiated with its %d tables.' % (args_db_path, len(tables_in_database)))
 
-    table_columns = database.get_table_structure(args.table)
+    table_columns = database.get_table_structure(args_table)
 
-    if args.list:
+    if args_list:
         run.info('Table columns', '"%s"' % ', '.join(table_columns))
         sys.exit()
 
-    if args.fields:
-        fields_of_interest = [f.strip() for f in args.fields.split(',')]
+    if args_fields:
+        fields_of_interest = [f.strip() for f in args_fields.split(',')]
         table_columns = [f for f in table_columns if f in fields_of_interest]
 
         if not len(table_columns):
-            raise ConfigError("None of the fields you are interested in are in the table header...") 
+            raise ConfigError("None of the fields you are interested in are in the table header...")
 
         run.info('Columns to report', '"%s"' % ', '.join(table_columns))
 
-    table_content = database.get_table_as_dataframe(args.table, columns_of_interest=table_columns)
+    if args_index and len([v for v in [args_index, args_columns, args_values] if v not in table_columns]):
+        raise ConfigError(f"Not all fields you have defined for `--index`, `--column`, `--values` are among "
+                          f"the fields of your table. Here are your the field names you have: {', '.join(table_columns)}.")
 
-    run.info('Table', '"%s" has been read with %d entries and %d columns.' % (args.table, len(table_content), len(table_columns)))
+    table_content = database.get_table_as_dataframe(args_table, columns_of_interest=table_columns)
 
-    if not args.output_file:
-        args.output_file = args.table + '.txt'
+    run.info('Table', '"%s" has been read with %d entries and %d columns.' % (args_table, len(table_content), len(table_columns)))
 
-    utils.store_dataframe_as_TAB_delimited_file(table_content, args.output_file)
-    run.info('Output', args.output_file)
+    if not args_output_file:
+        args_output_file = args_table + '.txt'
+
+    run.info('Matrix format', args_matrix_format, nl_before=1)
+    if args_index:
+        run.info('Index, columns, values were set', f"{args_index}, {args_columns}, {args_values}.", mc="green")
+
+    if not args_matrix_format:
+        utils.store_dataframe_as_TAB_delimited_file(table_content, args_output_file)
+    else:
+        if len(table_columns) != 3 and not args_index:
+            raise ConfigError(f"The `--matrix-format` works automatically with tables that has three fields, but "
+                              f"this one has {len(table_columns)}. So you need to specify which fields should be "
+                              f"used for what when anvi'o tries to pivot this table and report it as a matrix "
+                              f"using the patameters `--index`, `--columns`, and `--values` in your next attempt. "
+                              f"Each of these parameters will have to be a field name, which you can choose from "
+                              f"these beautiful fields in your table: {', '.join(table_columns)}.")
 
+        if not args_index:
+            run.warning(f"Since you only used `--matrix-format` with a table that happened to have three fields, anvi'o "
+                        f"is automatically using '{table_columns[0]}' as the 'index', '{table_columns[1]}' as the 'columns', and "
+                        f"'{table_columns[2]}' as the 'values'. If you don't like those choices, or if the output does not "
+                        f"make sense, consider setting these parameters manually.")
+            table_as_matrix = table_content.pivot(index=table_columns[0], columns=table_columns[1], values=table_columns[2])
+        else:
+            table_as_matrix = table_content.pivot(index=args_index, columns=args_columns, values=args_values)
+
+        utils.store_dataframe_as_TAB_delimited_file(table_as_matrix, args.output_file, include_index=True, index_label=table_columns[0])
+
+    run.info('Output', args.output_file)
 
 if __name__ == '__main__':
     from anvio.argparse import ArgumentParser
@@ -79,10 +125,27 @@ if __name__ == '__main__':
     parser.add_argument('db_path', metavar = 'DB',
                         help = "Anvi'o database to read from.")
 
-    parser.add_argument(*anvio.A('table'), **anvio.K('table'))
-    parser.add_argument(*anvio.A('list'), **anvio.K('list'))
-    parser.add_argument(*anvio.A('fields'), **anvio.K('fields'))
-    parser.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
+    groupA = parser.add_argument_group('TARGET', "This is where you specify which table and/or fields you wisht o export "
+                                                 "from your anvi'o database. If you don't know what tables you have in "
+                                                 "your database, you can add the flag `--list` to your command. If your "
+                                                 "command includes a table name, then the `--list` will show you the "
+                                                 "field names found in that particular table.")
+    groupA.add_argument(*anvio.A('table'), **anvio.K('table'))
+    groupA.add_argument(*anvio.A('fields'), **anvio.K('fields'))
+    groupA.add_argument(*anvio.A('list'), **anvio.K('list'))
+
+    groupB = parser.add_argument_group('REPORTING', "This is where you can ask anvi'o to pivot your table that is in long format "
+                                                    "and report it in wide format (i.e., as a matrix), instead. This may not work "
+                                                    "every table right off the bat, and you may need to specify the `--index`, `--columns`, "
+                                                    "and `--values` variables. Try it only with the `--matrix-format` flag, take a "
+                                                    "look at the output, if it doesn't seem to be working for you, improve.")
+    groupB.add_argument(*anvio.A('matrix-format'), **anvio.K('matrix-format'))
+    groupB.add_argument('--index', type=str, default=None, help="The field name in your table be used as the index of your matrix output.")
+    groupB.add_argument('--columns', type=str, default=None, help="The field name in your table be used as the column of your matrix output.")
+    groupB.add_argument('--values', type=str, default=None, help="The field name in your table be used as the values of your matrix output.")
+
+    groupC = parser.add_argument_group('OUTPUT', "Set the final resting place of these data.")
+    groupC.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
 
     args = parser.get_args(parser)
 
diff --git a/bin/anvi-gen-contigs-database b/bin/anvi-gen-contigs-database
index 57e7436c54..e396256f6f 100755
--- a/bin/anvi-gen-contigs-database
+++ b/bin/anvi-gen-contigs-database
@@ -57,9 +57,8 @@ if __name__ == '__main__':
     groupD.add_argument(*anvio.A('ignore-internal-stop-codons'), **anvio.K('ignore-internal-stop-codons'))
     groupD.add_argument(*anvio.A('skip-predict-frame'), **anvio.K('skip-predict-frame'))
 
-    args = parser.get_args(parser)
-
     try:
+        args = parser.get_args(parser)
         main(args)
     except ConfigError as e:
         print(e)
diff --git a/bin/anvi-gen-variability-network b/bin/anvi-gen-variability-network
index 0627cdbffe..c50efc18e6 100755
--- a/bin/anvi-gen-variability-network
+++ b/bin/anvi-gen-variability-network
@@ -6,6 +6,7 @@ import sys
 from anvio.argparse import ArgumentParser
 
 import anvio
+import anvio.terminal as terminal
 
 from anvio.errors import ConfigError, FilesNPathsError
 from anvio.variabilityops import VariabilityNetwork
@@ -17,24 +18,58 @@ __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
 __authors__ = ['meren']
-__provides__ = []
-__requires__ = ["variability-profile"]
-__resources__ = [("This program in the Infant Gut Tutorial", "https://merenlab.org/tutorials/infant-gut/#visualizing-snv-profiles-as-a-network")]
-__description__ = ("A program to generate a network description from an anvi'o variability profile "
-                   "(potentially outdated program)")
+__provides__ = ["variability-profile-xml"]
+__requires__ = ["variability-profile-txt"]
+__resources__ = [("An applicatio of this program in the  Infant Gut Tutorial", "https://merenlab.org/tutorials/infant-gut/#visualizing-snv-profiles-as-a-network")]
+__description__ = ("Generate a network description from an anvi'o variability profile.")
 
 
 if __name__ == '__main__':
     parser = ArgumentParser(description=__description__)
 
-    parser.add_argument('-i', '--input-file', metavar = 'VARIABILITY_PROFILE', required = True,
-                        help = "The anvi'o variability profile. Please see `anvi-gen-variability-profile` to\
-                                generate one.")
-    parser.add_argument(*anvio.A('max-num-unique-positions'), **anvio.K('max-num-unique-positions'))
-    parser.add_argument(*anvio.A('output-file'), **anvio.K('output-file', {'default': 'network.gexf'}))
+    import argparse
+    VN = VariabilityNetwork(argparse.Namespace())
+    competing_NT_calculator_options = [f"'{k}'" for k in VN.competing_NT_calculators]
+
+    groupA = parser.add_argument_group('INPUT', 'What goes in..')
+    groupA.add_argument('-i', '--input-file', metavar='VARIABILITY_PROFILE', required=True,
+                        help="The anvi'o variability profile. Please see `anvi-gen-variability-profile` to "
+                             "generate one.")
+
+    groupB = parser.add_argument_group('OUTPUT', 'What comes out..')
+    groupB.add_argument(*anvio.A('output-file'), **anvio.K('output-file', {'required': True}))
+    groupB.add_argument('--as-matrix', default=False, action="store_true", help ="Report the output as a table, rather than "
+                            "an network")
+
+
+    groupC = parser.add_argument_group('ADDITIONAL PARAMS', 'More options for the wise.')
+    groupC.add_argument(*anvio.A('max-num-unique-positions'), **anvio.K('max-num-unique-positions'))
+    groupC.add_argument('--include-competing-NTs', metavar='OPTION', default=False, required=False,
+                        help =f"Whether anvi'o should use competing nucleotides, rather than unique positions for "
+                              f"variable nucleotides (which is the default behavior), to define the nodes in the "
+                              f"network. If you would like that, then you will need to explicitly ask for a calculator "
+                              f"for competing nuclotides. The available options are the following: {', '.join(competing_NT_calculator_options)}. "
+                              f"If you would like to learn about these options before choosing one of them (as "
+                              f"you should), please first use the flag `--list-competing-NT-calculators` (in which "
+                              f"case the program will list descriptions for these options and exit.")
+    groupC.add_argument('--edge-variable', metavar='OPTION', default="departure_from_reference", required=False,
+                        help ="In the output anvi'o will connect SNVs to samples using edges, weights of which will be "
+                            "defined by this variable.")
+    groupC.add_argument('--list-competing-NT-calculators', default=False, action="store_true",
+                        help ="List options and their descriptions that can be used with `--include-competing-NTs`.")
 
     args = parser.get_args(parser)
 
+    if args.list_competing_NT_calculators:
+        run = terminal.Run()
+
+        run.warning("Following are the available options for competing NT calculations:",
+                    header="COMPETING NT CALCULATORS", lc="green")
+        for calculator_option in VN.competing_NT_calculators:
+            run.info(f"'{calculator_option}'", VN.competing_NT_calculators[calculator_option]['description'], nl_after=1)
+
+        sys.exit()
+
     try:
         variable_nt_positions = VariabilityNetwork(args)
         variable_nt_positions.generate()
diff --git a/bin/anvi-get-sequences-for-gene-calls b/bin/anvi-get-sequences-for-gene-calls
index f6b644c550..d9e316edb1 100755
--- a/bin/anvi-get-sequences-for-gene-calls
+++ b/bin/anvi-get-sequences-for-gene-calls
@@ -11,7 +11,7 @@ import anvio.filesnpaths as filesnpaths
 import anvio.genomestorage as genomestorage
 
 from anvio.errors import ConfigError, FilesNPathsError
-from anvio.dbops import ContigsSuperclass
+from anvio.dbops import ContigsSuperclass, ContigsDatabase
 
 
 __author__ = "Developers of anvi'o (see AUTHORS.txt)"
@@ -31,6 +31,10 @@ progress = terminal.Progress()
 
 
 def export_from_contigs(args):
+    if args.list_annotation_sources:
+        ContigsDatabase(args.contigs_db).list_function_sources()
+        sys.exit()
+
     c = ContigsSuperclass(args)
 
     output_file_path = args.output_file if args.output_file else 'sequences_for_gene_calls.txt'
@@ -52,13 +56,20 @@ def export_from_contigs(args):
             raise ConfigError("External gene calls file is not compatble with GFF format.")
         if args.flank_length:
             raise ConfigError("Due to the lazy programming, --flank-length and --export-gff3 flags are incompatible :(")
+        if args.annotation_source:
+            func_kwargs['gene_annotation_source'] = args.annotation_source
 
         c.gen_GFF3_file_of_sequences_for_gene_caller_ids(**func_kwargs)
     else:
+        if args.annotation_source:
+            raise ConfigError("A functional annotation source is only relevant for the GFF output format.")
         c.get_sequences_for_gene_callers_ids(**func_kwargs, report_aa_sequences=args.get_aa_sequences, flank_length=args.flank_length, output_file_path_external_gene_calls=args.external_gene_calls)
 
 
 def export_from_genomes_storage(genomes_storage_db_path, output_file_path):
+    if args.export_gff3:
+        raise ConfigError("GFF output is only relevant if you are working with a contigs database :/")
+
     g = genomestorage.GenomeStorage(genomes_storage_db_path)
     g.gen_combined_aa_sequences_FASTA(output_file_path)
 
@@ -90,14 +101,13 @@ if __name__ == '__main__':
 
     parser = ArgumentParser(description=__description__)
 
-    groupA = parser.add_argument_group('OPTION #1: EXPORT FROM CONTIGS DB')
+    groupA = parser.add_argument_group('OPTION #1: GET SEQUENCES FROM A CONTIGS DB')
     groupA.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db', {'required': False}))
     groupA.add_argument(*anvio.A('gene-caller-ids'), **anvio.K('gene-caller-ids'))
     groupA.add_argument(*anvio.A('flank-length'), **anvio.K('flank-length'))
     groupA.add_argument(*anvio.A('delimiter'), **anvio.K('delimiter'))
     groupA.add_argument(*anvio.A('report-extended-deflines'), **anvio.K('report-extended-deflines'))
     groupA.add_argument(*anvio.A('wrap'), **anvio.K('wrap'))
-    groupA.add_argument(*anvio.A('export-gff3'), **anvio.K('export-gff3'))
     groupA.add_argument(*anvio.A('get-aa-sequences'), **anvio.K('get-aa-sequences'))
     groupA.add_argument(*anvio.A('external-gene-calls'), **anvio.K('external-gene-calls',
                                         {"help": ("An optional external gene calls file path that precisely "
@@ -105,12 +115,17 @@ if __name__ == '__main__':
                                                   "you can create an anvi'o contigs database from the resulting "
                                                   "genes FASTA file without having to do a gene calling from scratch.")}))
 
-    groupB = parser.add_argument_group('OPTION #2: EXPORT FROM A GENOMES STORAGE')
-    groupB.add_argument(*anvio.A('genomes-storage'), **anvio.K('genomes-storage', {'required': False}))
-    groupB.add_argument(*anvio.A('genomes-names'), **anvio.K('genomes-names'))
+    groupB = parser.add_argument_group('OPTION #1.1: STORE SEQEUNCES AS GFF?', "This only works with OPTION #1 :/")
+    groupB.add_argument(*anvio.A('export-gff3'), **anvio.K('export-gff3'))
+    groupB.add_argument(*anvio.A('annotation-source'), **anvio.K('annotation-source'))
+    groupB.add_argument(*anvio.A('list-annotation-sources'), **anvio.K('list-annotation-sources'))
+
+    groupC = parser.add_argument_group('OPTION #2: GET SEQUENCES FROM A GENOMES STORAGE')
+    groupC.add_argument(*anvio.A('genomes-storage'), **anvio.K('genomes-storage', {'required': False}))
+    groupC.add_argument(*anvio.A('genomes-names'), **anvio.K('genomes-names'))
 
-    groupC = parser.add_argument_group('OPTIONS COMMON TO ALL INPUTS')
-    groupC.add_argument(*anvio.A('output-file'), **anvio.K('output-file', {'required': True}))
+    groupD = parser.add_argument_group('OPTIONS COMMON TO ALL INPUTS')
+    groupD.add_argument(*anvio.A('output-file'), **anvio.K('output-file', {'required': True}))
 
     args = parser.get_args(parser)
 
diff --git a/bin/anvi-get-sequences-for-gene-clusters b/bin/anvi-get-sequences-for-gene-clusters
index 8663e64665..a047667d45 100755
--- a/bin/anvi-get-sequences-for-gene-clusters
+++ b/bin/anvi-get-sequences-for-gene-clusters
@@ -10,8 +10,8 @@ import anvio
 import anvio.dbops as dbops
 import anvio.utils as utils
 import anvio.terminal as terminal
-import anvio.filesnpaths as filesnpaths
 import anvio.summarizer as summarizer
+import anvio.filesnpaths as filesnpaths
 
 from anvio.errors import ConfigError, FilesNPathsError, DictIOError
 
@@ -32,9 +32,13 @@ run = terminal.Run()
 progress = terminal.Progress()
 
 
-def main(args):
+def sanity_check(args):
     if args.gene_cluster_id and args.gene_cluster_ids_file:
-        raise ConfigError('You should either declare a single gene cluster name, or gene cluster names in a file')
+        raise ConfigError('You should either declare a single gene cluster name or a set of gene cluster names in a file, but not both :/')
+
+    if args.gene_cluster_id and args.split_output_per_gene_cluster:
+        raise ConfigError("If you are providing a single gene cluster id via `--gene-cluster-id`, then you don't "
+                          "need to use the flag `--split-output-per-gene-cluster`.")
 
     if (args.gene_cluster_id or args.gene_cluster_ids_file) and args.collection_name:
         raise ConfigError('You can either declare specific list of gene clusters to work with (through `--gene-cluster-id` or `--gene-cluster-ids-file`) or '
@@ -42,8 +46,36 @@ def main(args):
                           'mixed. If you need to know what collections are available in the pan database, use the flag '
                           '`--list-collections`.')
 
-    if not args.output_file:
-        args.output_file = os.path.join(os.path.dirname(os.path.abspath(args.pan_db)), 'gene-cluster-alignments-output-with-an-ugly-name.fa')
+    if args.output_file and args.split_output_per_gene_cluster:
+        raise ConfigError("The parameter `--output-file` is incompatible with the flag `--split-output-per-gene-cluster`. Why? "
+                          "Because when you declare `--split-output-per-gene-cluster`, anvi'o reports many output files and "
+                          "assigns the name of each ")
+
+    if args.split_output_per_gene_cluster and args.concatenate_gene_clusters and args.partition_file:
+        raise ConfigError("You can't ask anvi'o to produce split output files per concatenated gene cluster, and offer an output for "
+                          "a partition file. Why? Because anvi'o developers are lazy, and thought now one would ever need it really. "
+                          "But if you managed ot run into this error, please let an anvi'o developer know online and they will "
+                          "implement something for it.")
+
+    if args.split_output_per_gene_cluster:
+        if not args.output_file_prefix:
+            args.output_file_prefix = os.getcwd() + '/'
+        else:
+            if args.output_file_prefix.startswith('/'):
+                pass
+            elif args.output_file_prefix.endswith('/'):
+                pass
+            elif args.output_file_prefix.find('/') > -1:
+                args.output_file_prefix = os.path.abspath('/'.join(args.output_file_prefix.split('/')[:-1])) + '/' + args.output_file_prefix.split('/')[-1] + '_'
+            else:
+                args.output_file_prefix = os.getcwd() + '/' + args.output_file_prefix + '_'
+
+        filesnpaths.is_output_dir_writable(os.path.dirname(args.output_file_prefix))
+    else:
+        if not args.output_file:
+            args.output_file = os.path.join(os.path.abspath(os.getcwd()), 'GENE-CLUSTER-ALIGNMENTS.fa')
+
+        filesnpaths.is_output_file_writable(args.output_file, ok_if_exists=False)
 
     if not args.concatenate_gene_clusters and args.align_with:
         raise ConfigError("If you are not asking for concatenated gene clusters, then you really don't need to specify an aligner. "
@@ -53,10 +85,14 @@ def main(args):
     if not args.concatenate_gene_clusters and args.partition_file:
         raise ConfigError("Partition files are only relevant when you use the flag `--concatenate-gene-clusters`.")
 
-    filesnpaths.is_output_file_writable(args.output_file)
     filesnpaths.is_output_file_writable(args.partition_file) if args.partition_file else None
 
+    return args
+
+
+def main(args):
     gene_cluster_ids = set([])
+
     if args.collection_name or args.list_collections or args.list_bins:
         progress.new('Initializing')
         progress.update('...')
@@ -64,8 +100,8 @@ def main(args):
         progress.end()
 
         if not args.bin_id:
-            raise ConfigError("When you use a collection name, you must also declare a bin id :/ You don't know what bin you want? Use the flag "
-                              "`--list-bins`.")
+            raise ConfigError("When you use a collection name, you must also declare a bin id :/ You don't know what bin you "
+                              "want? Use the flag `--list-bins`.")
 
         pan.collections.is_bin_in_collection(collection_name=args.collection_name, bin_name=args.bin_id)
         collection_dict = pan.collections.get_collection_dict(args.collection_name)
@@ -86,8 +122,9 @@ def main(args):
     else:
         run.info('Mode', 'Working with all gene clusters.')
 
-    pan = dbops.PanSuperclass(args)
+    pan = dbops.PanSuperclass(args, r=terminal.Run(verbose=False))
     pan.init_gene_clusters(gene_cluster_ids)
+    pan.run = run
 
     # this will simply return pan.gene_clusters if there are no filters requested
     filtered_gene_clusters_dict = pan.filter_gene_clusters_dict(args)
@@ -101,17 +138,35 @@ def main(args):
         run.info_single("Dry run, eh? Well. Your dry run is done!")
         sys.exit(0)
 
-    if args.concatenate_gene_clusters:
-        pan.write_sequences_in_gene_clusters_for_phylogenomics(gene_clusters_dict=filtered_gene_clusters_dict,
-                                                               output_file_path=args.output_file,
-                                                               report_DNA_sequences=args.report_DNA_sequences,
-                                                               align_with=args.align_with,
-                                                               separator=args.separator,
-                                                               partition_file_path=args.partition_file)
-    else:
-        pan.write_sequences_in_gene_clusters_to_file(gene_clusters_dict=filtered_gene_clusters_dict,
-                                                     output_file_path=args.output_file,
-                                                     report_DNA_sequences=args.report_DNA_sequences)
+
+    if args.output_file:
+        if args.concatenate_gene_clusters:
+            pan.write_sequences_in_gene_clusters_for_phylogenomics(gene_clusters_dict=filtered_gene_clusters_dict,
+                                                                   output_file_path=args.output_file,
+                                                                   report_DNA_sequences=args.report_DNA_sequences,
+                                                                   align_with=args.align_with,
+                                                                   separator=args.separator,
+                                                                   partition_file_path=args.partition_file)
+        else:
+            pan.write_sequences_in_gene_clusters_to_file(gene_clusters_dict=filtered_gene_clusters_dict,
+                                                         output_file_path=args.output_file,
+                                                         report_DNA_sequences=args.report_DNA_sequences)
+    elif args.split_output_per_gene_cluster:
+        if args.concatenate_gene_clusters:
+            for gene_cluster_name in filtered_gene_clusters_dict:
+                output_file_path = f"{args.output_file_prefix}{gene_cluster_name}.fa"
+                pan.write_sequences_in_gene_clusters_for_phylogenomics(gene_clusters_dict={gene_cluster_name: filtered_gene_clusters_dict[gene_cluster_name]},
+                                                                       output_file_path=output_file_path,
+                                                                       report_DNA_sequences=args.report_DNA_sequences,
+                                                                       align_with=args.align_with,
+                                                                       separator=args.separator,
+                                                                       partition_file_path=args.partition_file)
+        else:
+            for gene_cluster_name in filtered_gene_clusters_dict:
+                output_file_path = f"{args.output_file_prefix}{gene_cluster_name}.fa"
+                pan.write_sequences_in_gene_clusters_to_file(gene_clusters_dict={gene_cluster_name: filtered_gene_clusters_dict[gene_cluster_name]},
+                                                             output_file_path=output_file_path,
+                                                             report_DNA_sequences=args.report_DNA_sequences)
 
 
 if __name__ == '__main__':
@@ -121,56 +176,63 @@ if __name__ == '__main__':
     groupA.add_argument(*anvio.A('pan-db'), **anvio.K('pan-db'))
     groupA.add_argument(*anvio.A('genomes-storage'), **anvio.K('genomes-storage', {'required': False}))
 
-    groupB = parser.add_argument_group('OUTPUT', "You get to chose an output file name to report things. The default will be\
-                                       an ugly name. So, be explicit.")
-    groupB.add_argument(*anvio.A('output-file'), **anvio.K('output-file',{'metavar':'FASTA'}))
-    groupB.add_argument(*anvio.A('report-DNA-sequences'), **anvio.K('report-DNA-sequences'))
+    groupB = parser.add_argument_group('OUTPUT OPTION #1: SINGLE FILE', "Here you get to chose an output file name to report things. LUCKY YOU.")
+    groupB.add_argument(*anvio.A('output-file'), **anvio.K('output-file', {'metavar':'FASTA'}))
+
+    groupC = parser.add_argument_group('OUTPUT OPTION #2: MULTIPLE FILES', "Here you can ask anvi'o to report multiple FASTA files, where each gene cluster "
+                                       "goes into its own unique FASTA file. If you declare teh flag `--split-output-per-gene-cluster`, anvi'o "
+                                       "will store each gene cluster into your work directory, using the gene cluster name as the output file name. "
+                                       "You can use the `--output-file-prefix` parameter to store them in a different directory and/or with specific "
+                                       "file name prefixes.")
+    groupC.add_argument(*anvio.A('split-output-per-gene-cluster'), **anvio.K('split-output-per-gene-cluster'))
+    groupC.add_argument(*anvio.A('output-file-prefix'), **anvio.K('output-file-prefix'))
 
-    groupC = parser.add_argument_group('SELECTION', "Which gene clusters should be reported. You can ask for a single gene cluster,\
+    groupD = parser.add_argument_group('SELECTION', "Which gene clusters should be reported. You can ask for a single gene cluster,\
                                        or multiple ones listed in a file, or you can use a collection and bin name to list gene clusters\
                                        of interest. If you give nothing, this program will export alignments for every single gene cluster\
                                        found in the profile database (and this is called 'customer service').")
-    groupC.add_argument(*anvio.A('gene-cluster-id'), **anvio.K('gene-cluster-id'))
-    groupC.add_argument(*anvio.A('gene-cluster-ids-file'), **anvio.K('gene-cluster-ids-file'))
-    groupC.add_argument(*anvio.A('collection-name'), **anvio.K('collection-name'))
-    groupC.add_argument(*anvio.A('bin-id'), **anvio.K('bin-id'))
+    groupD.add_argument(*anvio.A('gene-cluster-id'), **anvio.K('gene-cluster-id'))
+    groupD.add_argument(*anvio.A('gene-cluster-ids-file'), **anvio.K('gene-cluster-ids-file'))
+    groupD.add_argument(*anvio.A('collection-name'), **anvio.K('collection-name'))
+    groupD.add_argument(*anvio.A('bin-id'), **anvio.K('bin-id'))
 
-    groupD = parser.add_argument_group('ADVANCED FILTERS', "If you are here you must be looking for ways to specify\
+    groupE = parser.add_argument_group('ADVANCED FILTERS', "If you are here you must be looking for ways to specify\
                                         exactly what you want from that database of gene clusters. These filters will\
                                         be applied to what your previous selections reported.")
-    groupD.add_argument(*anvio.A('min-num-genomes-gene-cluster-occurs'), **anvio.K('min-num-genomes-gene-cluster-occurs'))
-    groupD.add_argument(*anvio.A('max-num-genomes-gene-cluster-occurs'), **anvio.K('max-num-genomes-gene-cluster-occurs'))
-    groupD.add_argument(*anvio.A('min-num-genes-from-each-genome'), **anvio.K('min-num-genes-from-each-genome'))
-    groupD.add_argument(*anvio.A('max-num-genes-from-each-genome'), **anvio.K('max-num-genes-from-each-genome'))
-    groupD.add_argument(*anvio.A('max-num-gene-clusters-missing-from-genome'), **anvio.K('max-num-gene-clusters-missing-from-genome'))
-    groupD.add_argument(*anvio.A('min-functional-homogeneity-index'), **anvio.K('min-functional-homogeneity-index'))
-    groupD.add_argument(*anvio.A('max-functional-homogeneity-index'), **anvio.K('max-functional-homogeneity-index'))
-    groupD.add_argument(*anvio.A('min-geometric-homogeneity-index'), **anvio.K('min-geometric-homogeneity-index'))
-    groupD.add_argument(*anvio.A('max-geometric-homogeneity-index'), **anvio.K('max-geometric-homogeneity-index'))
-    groupD.add_argument(*anvio.A('min-combined-homogeneity-index'), **anvio.K('min-combined-homogeneity-index'))
-    groupD.add_argument(*anvio.A('max-combined-homogeneity-index'), **anvio.K('max-combined-homogeneity-index'))
-    groupD.add_argument(*anvio.A('add-into-items-additional-data-table'), **anvio.K('add-into-items-additional-data-table'))
-
-    groupE = parser.add_argument_group('OTHER STUFF', "Yes. Stuff that are not like the ones above.")
-    groupE.add_argument(*anvio.A('list-collections'), **anvio.K('list-collections'))
-    groupE.add_argument(*anvio.A('list-bins'), **anvio.K('list-bins'))
-
-    groupF = parser.add_argument_group('PHYLOGENOMICS', "Get separately aligned and concatenated sequences for phylogenomics.")
-    groupF.add_argument(*anvio.A('concatenate-gene-clusters'), **anvio.K('concatenate-gene-clusters'))
-    groupF.add_argument(*anvio.A('partition-file'), **anvio.K('partition-file'))
-    groupF.add_argument(*anvio.A('separator'), **anvio.K('separator'))
-    groupF.add_argument(*anvio.A('align-with'), **anvio.K('align-with'))
-    groupF.add_argument(*anvio.A('list-aligners'), **anvio.K('list-aligners'))
-
-    groupG = parser.add_argument_group('LIFE SAVERS', "Just when you need them.")
-    groupG.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
-    groupG.add_argument(*anvio.A('dry-run'), **anvio.K('dry-run'))
+    groupE.add_argument(*anvio.A('min-num-genomes-gene-cluster-occurs'), **anvio.K('min-num-genomes-gene-cluster-occurs'))
+    groupE.add_argument(*anvio.A('max-num-genomes-gene-cluster-occurs'), **anvio.K('max-num-genomes-gene-cluster-occurs'))
+    groupE.add_argument(*anvio.A('min-num-genes-from-each-genome'), **anvio.K('min-num-genes-from-each-genome'))
+    groupE.add_argument(*anvio.A('max-num-genes-from-each-genome'), **anvio.K('max-num-genes-from-each-genome'))
+    groupE.add_argument(*anvio.A('max-num-gene-clusters-missing-from-genome'), **anvio.K('max-num-gene-clusters-missing-from-genome'))
+    groupE.add_argument(*anvio.A('min-functional-homogeneity-index'), **anvio.K('min-functional-homogeneity-index'))
+    groupE.add_argument(*anvio.A('max-functional-homogeneity-index'), **anvio.K('max-functional-homogeneity-index'))
+    groupE.add_argument(*anvio.A('min-geometric-homogeneity-index'), **anvio.K('min-geometric-homogeneity-index'))
+    groupE.add_argument(*anvio.A('max-geometric-homogeneity-index'), **anvio.K('max-geometric-homogeneity-index'))
+    groupE.add_argument(*anvio.A('min-combined-homogeneity-index'), **anvio.K('min-combined-homogeneity-index'))
+    groupE.add_argument(*anvio.A('max-combined-homogeneity-index'), **anvio.K('max-combined-homogeneity-index'))
+    groupE.add_argument(*anvio.A('add-into-items-additional-data-table'), **anvio.K('add-into-items-additional-data-table'))
+
+    groupF = parser.add_argument_group('OTHER STUFF', "Yes. Stuff that are not like the ones above.")
+    groupF.add_argument(*anvio.A('list-collections'), **anvio.K('list-collections'))
+    groupF.add_argument(*anvio.A('list-bins'), **anvio.K('list-bins'))
+
+    groupG = parser.add_argument_group('PHYLOGENOMICS', "Get separately aligned and concatenated sequences for phylogenomics.")
+    groupG.add_argument(*anvio.A('concatenate-gene-clusters'), **anvio.K('concatenate-gene-clusters'))
+    groupG.add_argument(*anvio.A('partition-file'), **anvio.K('partition-file'))
+    groupG.add_argument(*anvio.A('separator'), **anvio.K('separator'))
+    groupG.add_argument(*anvio.A('align-with'), **anvio.K('align-with'))
+    groupG.add_argument(*anvio.A('list-aligners'), **anvio.K('list-aligners'))
+
+    groupH = parser.add_argument_group('LIFE SAVERS', "Just when you need them.")
+    groupH.add_argument(*anvio.A('report-DNA-sequences'), **anvio.K('report-DNA-sequences'))
+    groupH.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
+    groupH.add_argument(*anvio.A('dry-run'), **anvio.K('dry-run'))
 
 
     args = parser.get_args(parser)
 
     try:
-        main(args)
+        main(sanity_check(args))
     except ConfigError as e:
         print(e)
         sys.exit(-1)
diff --git a/bin/anvi-get-short-reads-from-bam b/bin/anvi-get-short-reads-from-bam
index 7aa5ac3f41..b0111a0e30 100755
--- a/bin/anvi-get-short-reads-from-bam
+++ b/bin/anvi-get-short-reads-from-bam
@@ -35,22 +35,34 @@ if __name__ == '__main__':
 
     output_file_kwargs = {'help': 'File path(s) to store results. Multiple files should be separated by commas (no spaces).'}
 
-    parser.add_argument(*anvio.A('profile-db'), **anvio.K('profile-db'))
-    parser.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
-    parser.add_argument(*anvio.A('collection-name'), **anvio.K('collection-name'))
-    parser.add_argument(*anvio.A('bin-id'), **anvio.K('bin-id'))
-    parser.add_argument(*anvio.A('bin-ids-file'), **anvio.K('bin-ids-file'))
-    parser.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
-    parser.add_argument(*anvio.A('output-file-prefix'), **anvio.K('output-file-prefix'))
-    parser.add_argument(*anvio.A('gzip-output'), **anvio.K('gzip-output'))
-    parser.add_argument(*anvio.A('split-R1-and-R2'), **anvio.K('split-R1-and-R2'))
+    groupA = parser.add_argument_group('INPUT OPTION #1', "Work with good'ol anvi'o databases, collections, and bins, and get all the reads from "
+                                            "one or more BAM files that match to the contigs matching to your selections.")
+    groupA.add_argument(*anvio.A('profile-db'), **anvio.K('profile-db', {'required': False}))
+    groupA.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db', {'required': False}))
+    groupA.add_argument(*anvio.A('collection-name'), **anvio.K('collection-name'))
+    groupA.add_argument(*anvio.A('bin-id'), **anvio.K('bin-id'))
+    groupA.add_argument(*anvio.A('bin-ids-file'), **anvio.K('bin-ids-file'))
+
+    groupB = parser.add_argument_group('INPUT OPTION #2', "Target a specific contig and/or specific start/stop positions to get all the matching "
+                                            "reads from your BAM file(s).")
+    groupB.add_argument(*anvio.A('target-contig'), **anvio.K('target-contig'))
+    groupB.add_argument(*anvio.A('target-region-start'), **anvio.K('target-region-start'))
+    groupB.add_argument(*anvio.A('target-region-end'), **anvio.K('target-region-end'))
+
+    groupC = parser.add_argument_group('FILTERS', 'Choose which reads to work (or not to work) with like a pro.')
+    groupC.add_argument(*anvio.A('fetch-filter'), **anvio.K('fetch-filter'))
+
+    groupD = parser.add_argument_group('OUTPUT', 'Output options')
+    groupD.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
+    groupD.add_argument(*anvio.A('output-file-prefix'), **anvio.K('output-file-prefix'))
+    groupD.add_argument(*anvio.A('gzip-output'), **anvio.K('gzip-output'))
+    groupD.add_argument(*anvio.A('split-R1-and-R2'), **anvio.K('split-R1-and-R2'))
 
     args = parser.get_args(parser)
 
     try:
         r = GetReadsFromBAM(args)
-        r.init()
-        r.store_short_reads_for_splits()
+        r.store_short_reads()
     except ConfigError as e:
         print(e)
         sys.exit(-1)
diff --git a/bin/anvi-import-collection b/bin/anvi-import-collection
index bb5ca0a0d8..60f47e38de 100755
--- a/bin/anvi-import-collection
+++ b/bin/anvi-import-collection
@@ -7,7 +7,6 @@ import copy
 from collections import Counter
 
 import anvio
-import anvio.tables as t
 import anvio.dbops as dbops
 import anvio.utils as utils
 import anvio.terminal as terminal
@@ -35,15 +34,10 @@ run = terminal.Run()
 def main(args):
     sanity_check(args)
 
-    we_have_a_contigs_db = True if args.contigs_db else False
-
     # initiate the contigs database if it is present
-    if we_have_a_contigs_db:
-        contigs_db = dbops.ContigsDatabase(args.contigs_db)
-        splits_basic_info = contigs_db.db.get_table_as_dict(t.splits_info_table_name)
-        contigs_basic_info = contigs_db.db.get_table_as_dict(t.contigs_info_table_name, string_the_key = True)
-        contig_name_to_splits_dict = utils.get_contig_name_to_splits_dict(splits_basic_info, contigs_basic_info)
-        contigs_db.disconnect()
+    if args.contigs_db:
+        contig_name_to_splits_dict = utils.get_contig_name_to_splits_dict(args.contigs_db)
+        contig_names_in_db = contig_name_to_splits_dict.keys()
 
     # read the input file with split/contig - bin ID associations
     input_data_file_content = utils.get_TAB_delimited_file_as_dictionary(args.data, no_header = True, column_names = ['split_id', 'bin_name'])
@@ -60,7 +54,7 @@ def main(args):
     # convert contig names into split names if necessary so we can do everything else using the information in
     # pan or profile database item names (this is only relevant for a workflow that includes a contigs db)
     if args.contigs_mode:
-        input_names_missing_from_contigs_db = [n for n in input_data_file_content if n not in contigs_basic_info]
+        input_names_missing_from_contigs_db = [n for n in input_data_file_content if n not in contig_names_in_db]
 
         if len(input_names_missing_from_contigs_db):
             raise ConfigError("OK. %d of %d contig names in your input file have nothing to do with the contig names found in "
@@ -110,7 +104,7 @@ def main(args):
                 raise ConfigError("Anvi'o got an empty list of names for `items` from this databaes. But it is impossible :/")
 
         run.info('Items in %s database' % utils.get_db_type(args.pan_or_profile_db), len(db_names), mc='green')
-    elif we_have_a_contigs_db:
+    elif args.contigs_db:
         db_names = utils.get_all_item_names_from_the_database(args.contigs_db)
         run.info('Items in contigs database', len(db_names), mc='green')
     else:
diff --git a/bin/anvi-import-misc-data b/bin/anvi-import-misc-data
index fb13ff1ac7..9c6376e261 100755
--- a/bin/anvi-import-misc-data
+++ b/bin/anvi-import-misc-data
@@ -37,8 +37,11 @@ def main(args):
                           "database (--pan-or-profile-db)")
 
     if d['contigs_db'] and d['pan_or_profile_db']:
-        raise ConfigError("You provided a contigs db (--contigs-db) and a profile/pan "
-                          "db (--pan-or-profile-db). Please provide only one.")
+        if d['contigs_mode']:
+            pass
+        else:
+            raise ConfigError("You provided a contigs db (--contigs-db) and a profile/pan db (--pan-or-profile-db). "
+                              "Please provide only one.")
 
     MiscDataTableFactory(args).populate_from_file(args.data_file)
 
@@ -52,16 +55,28 @@ if __name__ == '__main__':
                         when we say "it is not complicated"). You need to read the online documentation if this is your first\
                         time with this.')
 
-    group1 = parser.add_argument_group('Database input', "Provide 1 of these")
-    group2 = parser.add_argument_group('Details', "Everything else.")
 
+    group1 = parser.add_argument_group("INPUT DATABASES", "The vast majority of cases will require you to provide only "
+                        "one of these databases. A special case is when you wish to add `items` data to a profile-db, "
+                        "but you only have contig names and not split names for your items. In that case you will want "
+                        "to use the `--contigs-mode` flag, and anvi'o will ask you to also provide a contigs database "
+                        "path.")
     group1.add_argument(*anvio.A('pan-or-profile-db'), **anvio.K('pan-or-profile-db', {'required': False}))
     group1.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db', {'required': False}))
 
+    group2 = parser.add_argument_group('TARGET TABLE/GROUP', "Parameters to help you to define where do you want to add "
+                        "your data and whether you wish to group it or not (see the online documentation for details).")
     group2.add_argument(*anvio.A('target-data-table'), **anvio.K('target-data-table', {'required': True}))
     group2.add_argument(*anvio.A('target-data-group'), **anvio.K('target-data-group'))
-    group2.add_argument(*anvio.A('transpose'), **anvio.K('transpose'))
-    group2.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
+
+    group3 = parser.add_argument_group('CONVENIENCE', "Parameters of convenience.")
+    group3.add_argument(*anvio.A('transpose'), **anvio.K('transpose'))
+    group3.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
+
+    group4 = parser.add_argument_group('CONTIGS MODE', "If you are working with contig names and if you need to  convert "
+                        "those contig names to split names, these are the parameters you will need. Please note that this "
+                        "is only relevant if you are adding `items` data.")
+    group4.add_argument(*anvio.A('contigs-mode'), **anvio.K('contigs-mode'))
 
     args = parser.get_args(parser)
 
diff --git a/bin/anvi-matrix-to-newick b/bin/anvi-matrix-to-newick
index ed19b25d5f..2bea91d658 100755
--- a/bin/anvi-matrix-to-newick
+++ b/bin/anvi-matrix-to-newick
@@ -2,12 +2,13 @@
 # -*- coding: utf-8
 
 import sys
-from anvio.argparse import ArgumentParser
 
 import anvio
+import anvio.utils as utils
 import anvio.terminal as terminal
 import anvio.clustering as clustering
 
+from anvio.argparse import ArgumentParser
 from anvio.errors import ConfigError, FilesNPathsError
 
 
@@ -24,16 +25,28 @@ __resources__ = [("See this program in action in the pangenomics tutorial", "htt
 
 run = terminal.Run()
 progress = terminal.Progress()
+PL = terminal.pluralize
 
 def main(args):
     if not args.output_file:
         args.output_file = args.input_matrix + '.newick'
 
     run.info('Input matrix file', args.input_matrix)
+
+    # a quick check of the data to see if there are any missing
+    # values
+    _, _, _, vectors = utils.get_vectors_from_TAB_delim_matrix(args.input_matrix)
+    num_missing_data = len([item for sublist in vectors for item in sublist if item == None])
+    if num_missing_data:
+        run.warning(f"Oy. Your file contains {PL('missing data item', num_missing_data)}. Anvi'o will do its "
+                    f"best to accomodate for it, but you should take a careful look at your output tree (that, "
+                    f"of course, if everything works after this message). Please note that anvi'o will not "
+                    f"normalize your data prior to clustering and will assume that it is already normalized.")
+
     progress.new('Analyzing input file')
     clustering.create_newick_file_from_matrix_file(args.input_matrix, args.output_file, linkage=args.linkage,
                                     distance=args.distance, transpose=args.transpose, progress=progress,
-                                    items_order_file_path=args.items_order_file)
+                                    items_order_file_path=args.items_order_file, pad_with_zeros=True)
     progress.end()
     run.info('Output newick', args.output_file)
     if args.items_order_file:
diff --git a/bin/anvi-migrate b/bin/anvi-migrate
index 64bfe3df78..f518f47a21 100755
--- a/bin/anvi-migrate
+++ b/bin/anvi-migrate
@@ -17,7 +17,8 @@ import anvio.filesnpaths as filesnpaths
 from anvio.errors import ConfigError, FilesNPathsError
 from anvio.migrations import migration_scripts
 
-__description__ = "Migrate an anvi'o database or config file to a newer version"
+
+__description__ = "Migrates any anvi'o artifact, whether it is a database or a config file, to a newer version. Pure magic."
 __authors__ = ['meren', 'ozcan', 'ekiefl', 'ivagljiva', 'semiller10']
 __requires__ = ["contigs-db", "profile-db", "pan-db", "genes-db", "genomes-storage-db", "structure-db", "modules-db", "workflow-config"]
 __provides__ = []
@@ -30,57 +31,105 @@ progress = terminal.Progress()
 class Migrater(object):
     def __init__(self, args):
         self.args = args
-        self.db_path = args.db_path
-        self.db_type = None
-        self.db_version = None
+        self.artifact_path = args.artifact_path
+        self.artifact_type = 'Unknown'
+        self.artifact_version = None
         self.target_version = None
 
-        filesnpaths.is_file_exists(self.db_path)
-        self.get_db_meta()
-        self.get_target_version()
+        filesnpaths.is_file_exists(self.artifact_path)
 
-        if not args.migrate_dbs_safely and not args.migrate_dbs_quickly:
-            raise ConfigError("You must choose either `--migrate-dbs-safely` or `--migrate-dbs-quickly`. Anvi'o would "
+        if not args.migrate_safely and not args.migrate_quickly:
+            raise ConfigError("You must choose either `--migrate-safely` or `--migrate-quickly`. Anvi'o would "
                               "have chosen one for you, but our lawyers suggested that it may put our life savings in "
                               "jeopardy.")
 
-        if args.migrate_dbs_safely and args.migrate_dbs_quickly:
-            raise ConfigError("Please don't ask anvi'o to migrate your databases both safely and quickly :/")
+        if args.migrate_safely and args.migrate_quickly:
+            raise ConfigError("Please don't ask anvi'o to migrate your files both safely and quickly :/")
 
-        self.safe_mode = args.migrate_dbs_safely
+        self.safe_mode = args.migrate_safely
 
         try:
             self.sqlite_version = utils.get_command_output_from_shell("sqlite3 --version")[0].decode("utf-8").split(' ')[0].split('.')
         except:
             self.sqlite_version = None
 
-        run.info('Database Path', self.db_path)
-        run.info('Detected Type', self.db_type)
-        run.info('Current Version', self.db_version)
-        run.info('Target Version', self.target_version)
-
-        if args.migrate_dbs_safely:
-           run.info('Migration mode', "Safe", mc="green")
-        else:
-           run.info('Migration mode', "Adventurous", mc="red")
-
-        run.info('SQLite Version', '.'.join(self.sqlite_version) if self.sqlite_version else 'Unknown :/', nl_after=1, nl_before=1)
-
         if not (int(self.sqlite_version[0]) >= 3 and int(self.sqlite_version[1]) >= 30):
             if not args.just_do_it:
                 raise ConfigError("Anvi'o migration tool requires the installed SQLite version to be at least "
                                   "v3.30.0. Yours seem to be %s (if this doesn't make any sense, you can take "
                                   "a look at the output of the command 'sqlite3 --version' on your terminal). "
                                   "You can skip this check if you use the argument `--just-do-it` with your "
-                                  "command. In which case we strongly recommend you to use `--migrate-dbs-safely` "
-                                  "flag since it will be likely for you to lose your database if something goes "
+                                  "command. In which case we strongly recommend you to use `--migrate-safely` "
+                                  "flag since it will be likely for you to lose your file if something goes "
                                   "wrong downstream." % '.'.join(self.sqlite_version) if self.sqlite_version else 'Unknown :/')
             else:
                 run.warning("Anvi'o is skipping the version number check for SQLite. Brace yourself for impact?")
 
 
-    def get_db_meta(self):
-        if not args.just_do_it and self.db_path.split('.')[-1] not in ['db', 'h5', 'json']:
+    def print_info(self):
+        run.info('Input file path', self.artifact_path)
+        run.info('Input file type', self.artifact_type)
+        run.info('Current Version', self.artifact_version)
+        run.info('Target Version', self.target_version)
+
+        if args.migrate_safely:
+           run.info('Migration mode', "Safe", mc="green")
+        else:
+           run.info('Migration mode', "Adventurous", mc="red")
+
+        run.info('SQLite Version', '.'.join(self.sqlite_version) if self.sqlite_version else 'Unknown :/', nl_after=1, nl_before=1)
+
+
+    def is_good_to_go(self):
+        """Basic checks to make sure file types and so on looks correct"""
+        # let's start with very basics
+        if os.path.isdir(self.artifact_path):
+            run.info('Input file path', self.artifact_path, mc='red')
+            run.warning("This is a directory, and yet the training of the members of the migration headquarters "
+                        "of anvi'o only covers files. MOVING ON.", header='NOPE: LA DIRECTORY', lc='yellow')
+
+        # check file extensions to make sure we're clear with this.
+        if not args.just_do_it and self.artifact_path.split('.')[-1] not in ['db', 'h5', 'json']:
+            run.info('Input file path', self.artifact_path)
+            run.info('Input file type', self.artifact_type)
+            run.warning(f"This program only works with files that end with `.db` or `.json` extensions. "
+                        f"But if you are sure that your input file at `{self.artifact_path}` is indeed an anvi'o "
+                        f"database or config file you can use the flag `--just-do-it` at your own risk.",
+                        header="NOPE: LA FILE EXTENSION", lc='yellow')
+
+            return False
+
+        # make sure we have the Python module for HDF is present if we have an .h5 file
+        if self.artifact_path.endswith('GENOMES.h5'):
+            utils.check_h5py_module()
+
+        # if we have a JSON file, we have to make sure a few things to say we're good to go
+        if self.artifact_path.endswith('json') or self.artifact_path.endswith('JSON'):
+            # does it look like a JSON file?
+            filesnpaths.is_file_json_formatted(self.artifact_path)
+
+            # does it look like an anvi'o config file?
+            import json
+            with open(self.artifact_path) as json_file:
+                json_content = json.load(json_file)
+                if 'workflow_name' not in json_content:
+                    run.info('Input file path', self.artifact_path)
+                    run.info('Input file type', self.artifact_type, mc='red')
+
+                    run.info_single("Your input file is a proper JSON file, but it doesn't look like an anvi'o workflow "
+                                    "since nowhere in it there is a variable called `workflow_name`. So, there is nothing "
+                                    "anvi'o can do with this.", nl_before=1)
+
+                    return False
+
+        return True
+
+
+    def get_artifact_meta(self):
+        if not self.is_good_to_go():
+            return
+
+        if not args.just_do_it and self.artifact_path.split('.')[-1] not in ['db', 'h5', 'json']:
             raise ConfigError("This program only works with files that end with `.db` or `.json` extensions. "
                               "But if you sure that, this is in fact an anvi'o database or config file "
                               "you can use --just-do-it flag at your own risk.")
@@ -89,49 +138,55 @@ class Migrater(object):
         if args.just_do_it:
             # check if this a config file by checking if it is a JSON formatted file
             try:
-                filesnpaths.is_file_json_formatted(self.db_path)
+                filesnpaths.is_file_json_formatted(self.artifact_path)
                 file_is_config = True
             except:
                 pass
 
+
         try:
-            if self.db_path.endswith('GENOMES.h5'):
-                utils.check_h5py_module()
+            if self.artifact_path.endswith('GENOMES.h5'):
                 import h5py
-                fp = h5py.File(self.db_path, 'r')
+                fp = h5py.File(self.artifact_path, 'r')
 
-                self.db_type = 'genomestorage'
-                self.db_version = int(fp.attrs['version'])
+                self.artifact_type = 'genomestorage'
+                self.artifact_version = int(fp.attrs['version'])
 
                 fp.close()
-            elif self.db_path.endswith('json') or file_is_config:
+            elif self.artifact_path.endswith('json') or file_is_config:
+                # the file is a json file, but is it a config file for an anvi'o workflow?
+                # here we will test it by looking for `workflow_name` in the JSON data.
                 import anvio.workflows as w
-                self.db_type = 'config'
-                workflow_name, config_version = w.get_workflow_name_and_version_from_config(self.db_path, dont_raise=True)
-                self.db_version = int(config_version)
+                self.artifact_type = 'config'
+                anvio.QUIET = True
+                workflow_name, config_version = w.get_workflow_name_and_version_from_config(self.artifact_path, dont_raise=True)
+                self.artifact_version = int(config_version)
+                anvio.QUIET = False
             else:
-                db_conn = db.DB(self.db_path, None, ignore_version=True)
+                db_conn = db.DB(self.artifact_path, None, ignore_version=True)
 
-                self.db_type = db_conn.get_meta_value('db_type')
-                self.db_version = int(db_conn.get_meta_value('version'))
+                self.artifact_type = db_conn.get_meta_value('db_type')
+                self.artifact_version = int(db_conn.get_meta_value('version'))
 
                 db_conn.disconnect()
-        except:
-            raise ConfigError('Are you sure "%s" is a database or config file? Because, you know, probably '
-                               'it is not at all.' % self.db_path)
+        except Exception as e:
+            raise ConfigError(f"Anvi'o had a problem with `{self.artifact_path}` :( Here is the error: '{e}'")
+
+        # now we know about the target anvi'o artifact, we can fill in the version.
+        self.get_target_version()
 
 
     def get_target_version(self):
-        if self.db_type in t.versions_for_db_types:
-            version = int(t.versions_for_db_types[self.db_type])
+        if self.artifact_type in t.versions_for_db_types:
+            version = int(t.versions_for_db_types[self.artifact_type])
         else:
-            raise ConfigError("Anvi'o does not have any version information about this ('%s') database type" % self.db_type)
+            raise ConfigError(f"Anvi'o does not have any version information about the type '{self.artifact_type}'.")
 
         if args.target_version:
             target = int(args.target_version)
 
-            if target <= self.db_version:
-                raise ConfigError("Target version ('%s') can not be lower than db version ('%s')." % (target, self.db_version))
+            if target <= self.artifact_version:
+                raise ConfigError("Target version ('%s') can not be lower than the artifact version ('%s')." % (target, self.artifact_version))
             elif target > version:
                 raise ConfigError("Target version ('%s') can not be higher than highest available version ('%s') for this type." % (target, version))
 
@@ -140,66 +195,97 @@ class Migrater(object):
         self.target_version = int(version)
 
 
+    def is_something_to_migrate(self):
+        """Test if there is anything worth migrating."""
+
+        if not self.artifact_version:
+            self.get_artifact_meta()
+
+            if not self.artifact_version():
+                raise ConfigError("Anvi'o needs an adult :( PS: if you are the programmer, you are the adult, and your code "
+                                  "should have never made it here.")
+
+        if self.target_version == self.artifact_version:
+            run.info('Input file path', self.artifact_path)
+            run.info('Input file type', self.artifact_type)
+
+            run.info_single(f"Your {self.artifact_type} looks good and needs no updatin' ☘️", nl_before=1, mc="green")
+
+            return False
+
+        return True
+
+
     def process(self):
-        tasks = []
+        run.warning(None, header="NEW MIGRATION TASK", lc='cyan')
+        if not self.is_good_to_go():
+            return
+
+        self.get_artifact_meta()
+
+        if not self.is_something_to_migrate():
+            return
 
+        self.print_info()
+
+        tasks = []
 
-        # if we are in safe mode, we will first copy the db
+        # if we are in safe mode, we will first copy the artifact file
         if self.safe_mode:
             progress.new("Migration preparation")
-            progress.update("Copying the original db for safety ...")
-            temp_file_path = filesnpaths.get_temp_file_path() + '.db'
-            shutil.copy(self.db_path, temp_file_path)
+            progress.update("Copying the original file for safety ...")
+            artifact_file_name = os.path.basename(self.artifact_path)
+            temp_file_path = filesnpaths.get_temp_file_path() + artifact_file_name
+            shutil.copy(self.artifact_path, temp_file_path)
             progress.end()
         else:
             temp_file_path = None
 
-        for i in range(self.db_version, self.target_version):
+        for i in range(self.artifact_version, self.target_version):
             script_name = "v%s_to_v%s" % (i, i + 1)
 
-            if not self.db_type in migration_scripts or not script_name in migration_scripts[self.db_type]:
-                raise ConfigError("Anvi'o can not find a migrate script required "
-                   "for this operation. (DB Type: %s, Script name: %s) " % (self.db_type, script_name))
+            if not self.artifact_type in migration_scripts or not script_name in migration_scripts[self.artifact_type]:
+                raise ConfigError("Anvi'o can not find a migrate script required for this operation. (Artifact Type: %s, Script name: %s) " % (self.artifact_type, script_name))
 
             tasks.append(script_name)
 
         for script_name in tasks:
             try:
-                migration_scripts[self.db_type][script_name].migrate(self.db_path)
+                migration_scripts[self.artifact_type][script_name].migrate(self.artifact_path)
             except Exception as e:
                 if temp_file_path:
-                    shutil.move(self.db_path, self.db_path + '.broken')
-                    shutil.copy(temp_file_path, self.db_path)
+                    shutil.move(self.artifact_path, self.artifact_path + '.broken')
+                    shutil.copy(temp_file_path, self.artifact_path)
                     os.remove(temp_file_path)
 
                     progress.reset()
-                    raise ConfigError("Something went wrong during the migration of your database :( But anvi'o was able to restore your "
-                                      "original database, and stored the unfinished upgrade in the same directory with the '.broken' "
+                    raise ConfigError("Something went wrong during the migration of your file :( But anvi'o was able to restore your "
+                                      "original artifact, and stored the unfinished upgrade in the same directory with the '.broken' "
                                       "in case you may need it for debugging purposes. Please feel free to get in touch with the "
-                                      "developers, who may ask you to make available the original database to reproduce the problem. This "
+                                      "developers, who may ask you to make available the original file to reproduce the problem. This "
                                       "was the original error message that caused this: '%s'." % e)
                 else:
                     progress.reset()
 
-                    shutil.move(self.db_path, self.db_path + '.broken')
+                    shutil.move(self.artifact_path, self.artifact_path + '.broken')
 
                     raise ConfigError("Anvi'o has very bad news for you :( Your migration failed, and anvi'o has no backups to restore your "
-                                      "original database. The current database is likely in a broken state, and you will unlkely going to be "
+                                      "original file. The current artifact is likely in a broken state, and you will unlkely going to be "
                                       "able to use it. So anvi'o renamed it by adding a prefix '.broken' to its file name. We are very sorry "
                                       "for this error (and anvi'o will certainly not put salt on the wound by reminding you that you could "
-                                      "have avoided it by using the `--migrate-dbs-safely` flag): \"%s\"." % e)
+                                      "have avoided it by using the `--migrate-safely` flag): \"%s\"." % e)
 
                     print(e)
                     sys.exit(-1)
 
             # special cases #
             # after this script is done, genome storage changes extension from .h5 to .db
-            if self.db_type == 'genomestorage' and script_name == 'v4_to_v5':
-                self.db_path = self.db_path[:-3] + '.db'
+            if self.artifact_type == 'genomestorage' and script_name == 'v4_to_v5':
+                self.artifact_path = self.artifact_path[:-3] + '.db'
 
         if self.safe_mode:
             progress.new("Post migration")
-            progress.update("Removing the backup db ...")
+            progress.update("Removing the backup file ...")
             os.remove(temp_file_path)
             progress.end()
         else:
@@ -209,16 +295,16 @@ class Migrater(object):
 if __name__ == '__main__':
     parser = ArgumentParser(description=__description__)
 
-    groupA = parser.add_argument_group('INPUTS', "You will literally give us any anvi'o database.")
-    groupA.add_argument('input', metavar = 'DATABASE(S)', nargs='+', help = "Anvi'o database or config file for migration. You "
-                                                        "can give many of them all at once. Running `anvi-migrate *.db` "
-                                                        "in a directory will migrate all databases in that directory.")
+    groupA = parser.add_argument_group('INPUTS', "You will literally give us anything.")
+    groupA.add_argument('input', metavar = 'FILE(S)', nargs='+', help = "One or more files to migrate. If you unleash the program on "
+                        "many files by running something like `anvi-migrate *.db *.json`, anvi'o will try to migrate "
+                        "all of the files that match to your filters.")
 
     groupB = parser.add_argument_group('SAFETY', "It is up to you. Safe things take much longer and boring. Unsafe things "
                                                  "are fast, fun, and .. well, don't come to use if your computer loses power "
                                                  "or somiething.")
-    groupB.add_argument(*anvio.A('migrate-dbs-safely'), **anvio.K('migrate-dbs-safely'))
-    groupB.add_argument(*anvio.A('migrate-dbs-quickly'), **anvio.K('migrate-dbs-quickly'))
+    groupB.add_argument(*anvio.A('migrate-safely'), **anvio.K('migrate-safely'))
+    groupB.add_argument(*anvio.A('migrate-quickly'), **anvio.K('migrate-quickly'))
 
     groupC = parser.add_argument_group('PARAMETERS OF CONVENIENCE', "This is how anvi'o spoils you.")
     groupC.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
@@ -227,15 +313,15 @@ if __name__ == '__main__':
 
     try:
         if len(args.input) > 1 and args.target_version:
-            raise ConfigError("You have to provide single database to use --target-version parameter. You have provided %d databases." % len(args.input))
+            raise ConfigError(f"You have to provide a single file to use with the `--target-version` parameter. "
+                              f"You have provided {len(args.input)} :/")
 
-        for db_path in args.input:
-            args_for_single_db = copy.deepcopy(args)
-            args_for_single_db.db_path = db_path
+        for artifact_path in args.input:
+            args_for_single_artifact = copy.deepcopy(args)
+            args_for_single_artifact.artifact_path = artifact_path
 
-            Migrater(args_for_single_db).process()
+            Migrater(args_for_single_artifact).process()
 
-            print("") # put little gap
     except ConfigError as e:
         print(e)
         sys.exit(-1)
diff --git a/bin/anvi-pan-genome b/bin/anvi-pan-genome
index 1423d0c7e1..5467566d83 100755
--- a/bin/anvi-pan-genome
+++ b/bin/anvi-pan-genome
@@ -33,58 +33,95 @@ if __name__ == '__main__':
                 '(doi:10.1038/nmeth.3176), unless you use it with --use-ncbi-blast flag, and MCL '
                 '(http://micans.org/mcl/ and doi:10.1007/978-1-61779-361-5_15)', lc = 'yellow')
 
+    # some footwork to help with the help menus:
+    if panops.additional_param_sets_for_sequence_search['diamond']:
+        DIAMOND = f"the following parameters: \"{panops.additional_param_sets_for_sequence_search['diamond']}\""
+    else:
+        DIAMOND = "nothing as the default additional parameters for DIAMOND is empty."
+
+    if panops.additional_param_sets_for_sequence_search['ncbi_blast']:
+        NCBI_BLAST = f"the following parameters: \"{panops.additional_param_sets_for_sequence_search['ncbi_blast']}\""
+    else:
+        NCBI_BLAST = "nothing, as the default additional parameters for the NCBI BLAST is empty."
+
+
     from anvio.argparse import ArgumentParser
 
     parser = ArgumentParser(description=__description__)
 
-    groupA = parser.add_argument_group('GENOMES', "The very fancy genomes storage file. This file is generated by the program `anvi-genomes-storage`.\
-                                                   Please see the online tutorial on pangenomic workflow if you don't know how to generate one.")
+    groupA = parser.add_argument_group('INPUT DATA: GENOMES & GENES', "You first tell anvi'o where your genes are (which is stored in a fancy 'genomes storage' "
+                                "file you have ALREADY generated using the program `anvi-genomes-storage` (if this means nothing to you, see the anvi'o "
+                                "pangenomics tutorial)). They you tell anvi'o if you wish to limit your analysis to a smaller set of genomes than those "
+                                "anvi'o will find in that genomes-storage-db, or whether or not it should exclude partial gene calls.")
     groupA.add_argument(*anvio.A('genomes-storage'), **anvio.K('genomes-storage', {'required': True}))
     groupA.add_argument(*anvio.A('genomes-names'), **anvio.K('genomes-names'))
-
-    groupC = parser.add_argument_group("PARAMETERS", "Important stuff Tom never pays attention (but you should).")
-    groupC.add_argument('--skip-alignments', default = False, action = 'store_true', help = "By default, anvi'o attempts to align amino acid\
-                                sequences in each gene cluster using multiple sequnce alignment via muscle. You can use this flag to skip\
-                                that step and be upset later.")
-    groupC.add_argument('--skip-homogeneity',default=False, action='store_true', dest='skip_homogeneity',help="By default, anvi'o attempts to calculate homogeneity\
-                                values for every gene cluster, given that they are aligned. You can use this flag to have anvi'o skip\
-                                homogeneity calculations. Anvi'o will ignore this flag if you decide to skip alignments")
-    groupC.add_argument('--quick-homogeneity',default=False, action='store_true', dest='quick_homogeneity',help="By default, anvi'o will use a homogeneity\
-                                algorithm that checks for horizontal and vertical geometric homogeneity (along with functional). With this\
-                                flag, you can tell anvi'o to skip horizontal geometric homogeneity calculations. It will be less accurate but quicker.\
-                                Anvi'o will ignore this flag if you skip homogeneity calculations or alignments all together.")
-    groupC.add_argument(*anvio.A('align-with'), **anvio.K('align-with'))
-    groupC.add_argument('--exclude-partial-gene-calls', default = False, action = 'store_true', help = "By default, anvi'o includes all partial\
+    groupA.add_argument('--exclude-partial-gene-calls', default = False, action = 'store_true', help = "By default, anvi'o includes all partial\
                                 gene calls from the analysis, which, in some cases, may inflate the number of gene clusters identified and\
                                 introduce extra heterogeneity within those gene clusters. Using this flag, you can request anvi'o to exclude\
                                 partial gene calls from the analysis (whether a gene call is partial or not is an information that comes directly\
                                 from the gene caller used to identify genes during the generation of the contigs database).")
-    groupC.add_argument('--use-ncbi-blast', default = False, action = 'store_true', help = "This program uses DIAMOND by default, however,\
-                                if you like, you can use good ol' blastp from NCBI instead.")
-    groupC.add_argument('--minbit', type = float, default = 0.5, metavar = "MINBIT", help = "The minimum minbit value. The minbit heuristic \
+
+
+    groupB = parser.add_argument_group('GENE CLUSTER FORMATION: SEQUENCE SEARCH', "The first step in this workflow is to perform reciprocal sequence search "
+                                "within the gene pool of input genomes. If you don't change anything in this section, things will work fine, and anvi'o will "
+                                "use DIAMOND by default to accomplish the search with default parameters anvi'o developers set for you. But please go "
+                                "through each parameter anyway to have an idea regarding what is available to you to play with.")
+    groupB.add_argument('--use-ncbi-blast', default = False, action = 'store_true', help = "This program uses DIAMOND by default (and you should, too), "
+                                "but if you'd like to use the good ol' blastp by the NCBI instead, it can't stop you.")
+    groupB.add_argument('--additional-params-for-seq-search', type=str, metavar = "CMD LINE PARAMS", help = "OK. This is very important. While "
+                                f"anvi'o has some defaults for whichever approach you choose to use for your sequence search, you can assume full control "
+                                f"over what is passed to the search program. Put anything you wish anvi'o to send your search program in double quotes, and "
+                                f"they will be passed to the program. If you don't use this parameter, in addition to the additional parameters anvi'o will "
+                                f"use to call your search algorithm of preference, anvi'o will pass to DIAMOND {DIAMOND}, and to the NCBI blast {NCBI_BLAST}. "
+                                f"If you use this parameter, it will completely overwrite what you see above. This means, if you are about to use DIAMOND "
+                                f"and would like to enable sensitive mode for DIAMOND along with the current anvi'o default additional parameter for it, then "
+                                f"you should set this parameter like this manually: --additional-params-for-seq-search "
+                                f"\"{panops.additional_param_sets_for_sequence_search['diamond']} --sensitive\". DO NOT EVER FORGET THE DOUBLE QUOTES, unless "
+                                f"you hate your computer and want to see it melting beforey our eyes.")
+
+
+    groupB = parser.add_argument_group('GENE CLUSTER FORMATION: RESOLVING NETWORK', "The second step in this workflow is to use the sequence search results "
+                                "to determine gene clusters. Which is a straightforward step thanks to the MCL algorithm. The following parameters are there "
+                                "to tweak this step, even though default choices will work for the vast majority of cases.")
+    groupB.add_argument('--minbit', type = float, default = 0.5, metavar = "MINBIT", help = "The minimum minbit value. The minbit heuristic \
                                 provides a mean to set a to eliminate weak matches between two amino acid sequences. We learned it from ITEP \
                                 (Benedict MN et al, doi:10.1186/1471-2164-15-8), which is a comprehensive analysis workflow for pangenomes, \
                                 and decided to use it in the anvi'o pangenomic workflow, as well. Briefly, If you have two amino acid sequences,\
                                 'A' and 'B', the minbit is defined as 'BITSCORE(A, B) / MIN(BITSCORE(A, A), BITSCORE(B, B))'. So the minbit score\
                                 between two sequences goes to 1 if they are very similar over the entire length of the 'shorter' amino acid sequence,\
                                 and goes to 0 if (1) they match over a very short stretch compared even to the length of the shorter amino acid sequence\
-                                or (2) the match betwen sequence identity is low. The default is %(default)g.")
-    groupC.add_argument('--mcl-inflation', type = float, default = 2.0, metavar = "INFLATION", help = "MCL inflation parameter, that defines\
+                                or (2) the match between sequence identity is low. The default is %(default)g.")
+    groupB.add_argument('--mcl-inflation', type = float, default = 2.0, metavar = "INFLATION", help = "MCL inflation parameter, that defines\
                                 the sensitivity of the algorithm during the identification of the gene clusters. More information on this\
                                 parameter and it's effect on cluster granularity is here: (http://micans.org/mcl/man/mclfaq.html#faq7.2).\
                                 The default is %(default)g.")
-    groupC.add_argument('--min-occurrence', type = int, default = 1, metavar = 'NUM_OCCURRENCE', help = "Do you not want singletons? You don't?\
-                                Well, this parameter will help you get rid of them (along with doubletons, if you want). Anvi'o will remove\
-                                gene clusters that occur less than the number you set using this parameter from the analysis. The default\
-                                is %(default)d, which means everything will be kept. If you want to remove singletons, set it to 2, if you want to\
-                                remove doubletons as well, set it to 3, and so on.")
-    groupC.add_argument('--min-percent-identity', type = float, default = 0.0, metavar = "PERCENT", help = "Minimum percent identity\
+    groupB.add_argument('--min-percent-identity', type = float, default = 0.0, metavar = "PERCENT", help = "Minimum percent identity\
                                 between the two amino acid sequences for them to have an edge for MCL analysis. This value will be used\
                                 to filter hits from Diamond search results. Because percent identity is not a predictor of a good match (since\
                                 it does not communicate many other important factors such as the alignment length between the two sequences and\
                                 its proportion to the entire length of those involved), we suggest you rely on 'minbit' parameter. But you know\
                                 what? Maybe you shouldn't listen to anyone, and experiment on your own! The default is %(default)g percent.")
-    groupC.add_argument(*anvio.A('sensitive'), **anvio.K('sensitive'))
+    groupB.add_argument('--min-occurrence', type = int, default = 1, metavar = 'NUM_OCCURRENCE', help = "Do you not want singletons? You don't?\
+                                Well, this parameter will help you get rid of them (along with doubletons, if you want). Anvi'o will remove\
+                                gene clusters that occur less than the number you set using this parameter from the analysis. The default\
+                                is %(default)d, which means everything will be kept. If you want to remove singletons, set it to 2, if you want to\
+                                remove doubletons as well, set it to 3, and so on.")
+
+
+    groupC = parser.add_argument_group("GENE CLUSTER CHARACTERIZATION", "Parameters that mostly impact how anvi'o characterizes your gene clusters once "
+                                "they are identified. Such as aligning within gene cluster sequences, computing homogeneity indices for them, etc. "
+                                "Important stuff.")
+    groupC.add_argument('--skip-alignments', default = False, action = 'store_true', help = "By default, anvi'o attempts to align amino acid\
+                                sequences in each gene cluster using multiple sequence alignment via muscle. You can use this flag to skip\
+                                that step and be upset later.")
+    groupC.add_argument(*anvio.A('align-with'), **anvio.K('align-with'))
+    groupC.add_argument('--skip-homogeneity',default=False, action='store_true', dest='skip_homogeneity',help="By default, anvi'o attempts to calculate homogeneity\
+                                values for every gene cluster, given that they are aligned. You can use this flag to have anvi'o skip\
+                                homogeneity calculations. Anvi'o will ignore this flag if you decide to skip alignments")
+    groupC.add_argument('--quick-homogeneity',default=False, action='store_true', dest='quick_homogeneity',help="By default, anvi'o will use a homogeneity\
+                                algorithm that checks for horizontal and vertical geometric homogeneity (along with functional). With this\
+                                flag, you can tell anvi'o to skip horizontal geometric homogeneity calculations. It will be less accurate but quicker.\
+                                Anvi'o will ignore this flag if you skip homogeneity calculations or alignments all together.")
 
     groupD = parser.add_argument_group("OTHERS", "Sweet parameters of convenience.")
     groupD.add_argument(*anvio.A('project-name'), **anvio.K('project-name'))
@@ -100,7 +137,7 @@ if __name__ == '__main__':
     groupE.add_argument(*anvio.A('enforce-hierarchical-clustering'), **anvio.K('enforce-hierarchical-clustering', {'help': "If you\
                                 want anvi'o to try to generate a hierarchical clustering of your gene clusters even if the number of gene clusters exceeds\
                                 its suggested limit for hierarchical clustering, you can use this flag to enforce it. Are you are a\
-                                rebel of some sorts? Or did computers made you upset? Express your anger towards machine using this\
+                                rebel of some sorts? Or did computers make you upset? Express your anger towards machine using this\
                                 flag."}))
     groupE.add_argument(*anvio.A('distance'), **anvio.K('distance', {'default': None, 'help':
                       'The distance metric for the clustering of gene clusters. If you do not use this flag,\
diff --git a/bin/anvi-profile b/bin/anvi-profile
index d141eef4d4..0416b0ee06 100755
--- a/bin/anvi-profile
+++ b/bin/anvi-profile
@@ -21,7 +21,7 @@ __tags__ = ["metagenomics", "profile_db", "contigs_db", "bam", "variability", "c
 __resources__ = [("The usage of the profiler in metagenomics workflow", "http://merenlab.org/2016/06/22/anvio-tutorial-v2/#anvi-profile")]
 __requires__ = ['bam-file', 'contigs-db']
 __provides__ = ['single-profile-db', 'misc-data-items-order', 'variability-profile']
-__description__ = ("The flagship anvi'o proram to profile a BAM file. Running this program on a BAM file "
+__description__ = ("The flagship anvi'o program to profile a BAM file. Running this program on a BAM file "
                    "will quantify coverages per nucleotide position in read recruitment results and will "
                    "average coverage and detection data per contig. It will also calculate single-nucleotide, "
                    "single-codon, and single-amino acid variants, as well as structural variants, such as "
diff --git a/bin/anvi-rename-bins b/bin/anvi-rename-bins
index faf8ee2340..89f1cc9a0d 100755
--- a/bin/anvi-rename-bins
+++ b/bin/anvi-rename-bins
@@ -43,6 +43,7 @@ def main(args):
     prefix = A('prefix')
     report_file_path = A('report_file')
     call_MAGs = A('call_MAGs')
+    exclude_bins = A('exclude_bins')
     min_completion_for_MAG = A('min_completion_for_MAG')
     max_redundancy_for_MAG = A('max_redundancy_for_MAG')
     size_for_MAG = A('size_for_MAG')
@@ -70,9 +71,19 @@ def main(args):
 
     filesnpaths.is_output_file_writable(report_file_path)
 
+    if exclude_bins and not call_MAGs:
+        raise ConfigError("You can use the flag `--exclude-bins` only if you are also calling MAGs "
+                          "(`--call-MAGs`). If this is not clear to you why it is the case, please "
+                          "take a look at the help menu (and hope for the best).")
+
     if min_completion_for_MAG < 0:
         raise ConfigError("Minimum completion value can't be negative because that's not how math works.")
 
+    if min_completion_for_MAG > 100:
+        raise ConfigError("A minimum completion score for a MAG that is over 100%? Anvi'o is impressed with "
+                          "your expectations from your MAGs, but it cannot accept anything above 100% for "
+                          "minimum completion :(")
+
     if max_redundancy_for_MAG < 0:
         raise ConfigError("You must choose a maximum redundancy value that is at least 0.")
 
@@ -141,14 +152,22 @@ def main(args):
         progress.update('%d in %d' % (counter, total_num_bins))
         p_completion, p_redundancy, domain, domain_probabilities, info_text, d = completeness.get_info_for_splits(set(collection_dict[bin_name]))
 
-        l = []
-        for domain in d:
-            for scg_collection_name in d[domain]:
-                l.append((d[domain][scg_collection_name]['percent_completion'], domain, scg_collection_name),)
-        _, domain, scg_collection_name = sorted(l, reverse=True)[0]
-
-        p_completion = d[domain][scg_collection_name]['percent_completion']
-        p_redundancy = d[domain][scg_collection_name]['percent_redundancy']
+        if domain == 'blank':
+            # if the domain is 'blank', it most likely means that our random forest classifier
+            # was not certain about the domain because the genome bin wish highly incomplete
+            # for a reliable prediction. in that case we will use the most reasonable C/R
+            # estimate based on the highest C and set the domain to that for reporting.
+            l = []
+            for domain in d:
+                for scg_collection_name in d[domain]:
+                    l.append((d[domain][scg_collection_name]['percent_completion'], domain, scg_collection_name),)
+            _, domain, scg_collection_name = sorted(l, reverse=True)[0]
+
+            if d[domain][scg_collection_name]['percent_completion'] > 0.0:
+                p_completion = d[domain][scg_collection_name]['percent_completion']
+                p_redundancy = d[domain][scg_collection_name]['percent_redundancy']
+            else:
+                domain = 'blank'
 
         size_in_Mbp = sum([contigs_db.splits_basic_info[split_name]['length'] for split_name in set(collection_dict[bin_name])]) / 1000000.0
         substantive_completion = p_completion - p_redundancy
@@ -156,37 +175,70 @@ def main(args):
         if call_MAGs:
             if p_redundancy < max_redundancy_for_MAG:
                 if p_completion >= min_completion_for_MAG:
-                    MAGs_sorted_by_completion.append((bin_name, substantive_completion, p_completion, p_redundancy, size_in_Mbp, 'MAG'),)
+                    MAGs_sorted_by_completion.append((bin_name, domain, substantive_completion, p_completion, p_redundancy, size_in_Mbp, 'MAG'),)
                 elif size_for_MAG and size_in_Mbp >= size_for_MAG:
-                    MAGs_sorted_by_completion.append((bin_name, substantive_completion, p_completion, p_redundancy, size_in_Mbp, 'MAG'),)
+                    MAGs_sorted_by_completion.append((bin_name, domain, substantive_completion, p_completion, p_redundancy, size_in_Mbp, 'MAG'),)
                 else:
-                    bins_sorted_by_completion.append((bin_name, substantive_completion, p_completion, p_redundancy, size_in_Mbp, 'Bin'),)
+                    bins_sorted_by_completion.append((bin_name, domain, substantive_completion, p_completion, p_redundancy, size_in_Mbp, 'Bin'),)
             else:
-                bins_sorted_by_completion.append((bin_name, substantive_completion, p_completion, p_redundancy, size_in_Mbp, 'Bin'),)
+                bins_sorted_by_completion.append((bin_name, domain, substantive_completion, p_completion, p_redundancy, size_in_Mbp, 'Bin'),)
         else:
-            bins_sorted_by_completion.append((bin_name, substantive_completion, p_completion, p_redundancy, size_in_Mbp, 'Bin'),)
+            bins_sorted_by_completion.append((bin_name, domain, substantive_completion, p_completion, p_redundancy, size_in_Mbp, 'Bin'),)
+
     MAGs_sorted_by_completion.sort(key=operator.itemgetter(1), reverse=True)
     bins_sorted_by_completion.sort(key=operator.itemgetter(1), reverse=True)
-    progress.end()
+
+    progress.update('Finalizing the report...')
 
     new_collection_dict = {}
     new_bins_info_dict = {}
 
     counter = 0
     report = open(report_file_path, 'w')
-    report.write('old_bin_name\tnew_bin_name\tcompletion\tredundancy\tsize_in_Mbp\n')
-    for bin_name, substantive_completion, completion, redundancy, size_in_Mbp, bin_type in MAGs_sorted_by_completion + bins_sorted_by_completion:
+    report.write('old_bin_name\tnew_bin_name\tSCG_domain\tcompletion\tredundancy\tsize_in_Mbp\n')
+
+    if exclude_bins:
+        list_of_bins_in_the_workings = MAGs_sorted_by_completion
+    else:
+        list_of_bins_in_the_workings = MAGs_sorted_by_completion + bins_sorted_by_completion
+
+    for bin_name, domain, substantive_completion, completion, redundancy, size_in_Mbp, bin_type in list_of_bins_in_the_workings:
         counter += 1
-        new_bin_name = '%s_%s_%05d' % (prefix, bin_type, counter)
+        new_bin_name = f"{prefix}_{bin_type}_{counter:05}"
         new_collection_dict[new_bin_name] = copy.deepcopy(collection_dict[bin_name])
 
         if bin_name in bins_info_dict:
             new_bins_info_dict[new_bin_name] = copy.deepcopy(bins_info_dict[bin_name])
 
-        report.write('%s\t%s\t%.2f\t%.2f\t%.2f\n' % (bin_name, new_bin_name, completion, redundancy, size_in_Mbp))
+        report.write(f"{bin_name}\t{new_bin_name}\t{domain}\t{completion:.2f}\t{redundancy:.2f}\t{size_in_Mbp}\n")
 
     report.close()
-    run.info('Report', '%s' % (report_file_path))
+
+    progress.end()
+
+    if call_MAGs and exclude_bins:
+        if len(bins_sorted_by_completion) == 0:
+            run.warning(f"You have used the flag `--exclude-bins`, so anvi'o was determined to not include "
+                        f"any of the bins in your previous collection '{collection_name_to_read}' that did "
+                        f"not match to your criteria to call MAGs in your new collection. Although everyting "
+                        f"in your original collection ended up being called a MAG, so everything ended up "
+                        f"being reported anyway.", header="EXCLUDE BINS FLAG WARNING", lc="yellow")
+        elif len(bins_sorted_by_completion) == 1:
+            run.warning(f"You have used the flag `--exclude-bins`, and anvi'o found a single bin in your "
+                        f"original collection '{collection_name_to_read}' that did not match your `--call-MAGs` "
+                        f"criteria. So you will not have the bin '{bins_sorted_by_completion[0][0]}' in your "
+                        f"new collection.", header="EXCLUDE BINS FLAG WARNING", lc="yellow")
+        else:
+            bins_no_longer_with_us = ', '.join([f"'{e[0]}'" for e in bins_sorted_by_completion])
+            run.warning(f"You have used the flag `--exclude-bins` to exclude bins that were not up to your "
+                        f".. standards. As a result, anvi'o excluded {len(bins_sorted_by_completion)} bins "
+                        f"found in your original collection '{collection_name_to_read}', and they will not "
+                        f"appear in your new collection '{collection_name_to_write}'. Here is a list of their "
+                        f"names, just so you take a moment to reflect on their journey which has come to an end "
+                        f"in this this project (hunger games styla): {bins_no_longer_with_us}.",
+                        header="EXCLUDE BINS FLAG WARNING", lc="yellow")
+
+    run.info('Report file', '%s' % (report_file_path))
 
     if dry_run:
         run.warning('This was a dry run. So nothing is updated in the profile database, but now there is '
@@ -196,11 +248,12 @@ def main(args):
 
         return
 
-    collections_table = TablesForCollections(profile_db_path)
+    collections_table = TablesForCollections(profile_db_path, run=terminal.Run(verbose=False))
     collections_table.append(collection_name_to_write, new_collection_dict, new_bins_info_dict)
 
-    run.info('Rename', 'All %d bins in the collection "%s" is renamed, and stored under the collection\
-                        name "%s".' % (counter, collection_name_to_read, collection_name_to_write))
+    run.info_single(f"All {counter} bins in the collection '{collection_name_to_read}' is renamed, and "
+                    f"stored under the collection name '{collection_name_to_write}'.", nl_before=1,
+                    nl_after=1, mc="green")
 
 
 if __name__ == '__main__':
@@ -209,51 +262,55 @@ if __name__ == '__main__':
     parser = ArgumentParser(description=__description__)
 
     groupA = parser.add_argument_group('DEFAULT INPUTS', "Standard stuff")
-    groupB = parser.add_argument_group('OUTPUT AND TESTING', "a.k.a, sweet parameters of convenience")
-    groupC = parser.add_argument_group('MAG OPTIONS', "If you want to call some bins 'MAGs' because you are so cool")
     groupA.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
     groupA.add_argument(*anvio.A('profile-db'), **anvio.K('profile-db'))
-    groupA.add_argument('--collection-to-read', default = None,
-                  help = "Collection name to read from. Anvi'o will not overwrite an existing collection, instead,\
-                          it will create a copy of your collection with new bin names.")
-    groupA.add_argument('--collection-to-write', default = None,
-                  help = "The new collection name. Give it a nice, fancy name.")
-
-    groupB.add_argument('--prefix', default = None,
-                  help = "Prefix for the bin names. Must be a single word, composed\
-                          of digits and numbers. The use of the underscore character is OK,\
-                          but that's about it (fine, the use of the dash character is OK, too\
-                          but no more!). If the prefix is 'PREFIX', each bin will be renamed\
-                          as 'PREFIX_XXX_00001, PREFIX_XXX_00002', and so on, in the order of\
-                          percent completion minus percent redundancy (what we call, 'substantive\
-                          completion'). The 'XXX' part will either be 'Bin', or 'MAG depending on\
-                          other parameters you use. Keep reading.")
-    groupB.add_argument('--report-file', metavar = 'REPORT_FILE_PATH', default = None, \
-                        help = "This file will report each name change event, so you can trace back\
-                                the original names of renamed bins later.")
+    groupA.add_argument('--collection-to-read', default = None, help = "Collection name to read from. "
+                            "Anvi'o will not overwrite an existing collection, instead, it will create "
+                            "a copy of your collection with new bin names.")
+    groupA.add_argument('--collection-to-write', default = None, help = "The new collection name. Give "
+                            "it a nice, fancy name.")
+
+    groupB = parser.add_argument_group('OUTPUT AND TESTING', "a.k.a, sweet parameters of convenience")
+    groupB.add_argument('--prefix', default = None, help = "Prefix for the bin names. Must be a "
+                            "single word, composed of digits and numbers. The use of the underscore "
+                            "character is OK, but that's about it (fine, the use of the dash character "
+                            "is OK, too but no more!). If the prefix is 'PREFIX', each bin will be "
+                            "renamed as 'PREFIX_XXX_00001, PREFIX_XXX_00002', and so on, in the order "
+                            "of percent completion minus percent redundancy (what we call, 'substantive "
+                            "completion'). The 'XXX' part will either be 'Bin', or 'MAG depending on "
+                            "other parameters you use. Keep reading.")
+    groupB.add_argument('--report-file', metavar = 'REPORT_FILE_PATH', default = None, help = "This file "
+                            "will report each name change event, so you can trace back the original names "
+                            "of renamed bins later.")
     groupB.add_argument(*anvio.A('list-collections'), **anvio.K('list-collections'))
-    groupB.add_argument(*anvio.A('dry-run'), **anvio.K('dry-run', {'help': 'When used does NOT update the\
-                                profile database, just creates the report file so you can view how things\
-                                will be renamed.'}))
-
-    groupC.add_argument('--call-MAGs', default=False, action="store_true", \
-                        help = "This program by default rename your bins as 'PREFIX_Bin_00001', 'PREFIX_Bin_00002'\
-                                and so on. If you use this flag, it will name the ones that meet the criteria\
-                                described by MAG-related flags as 'PREFIX_MAG_00001', 'PREFIX_MAG_00002', and\
-                                so on. The ones that do not get to be named as MAGs will remain as bins.")
-    groupC.add_argument('--min-completion-for-MAG', default=70, type=float, \
-                        help="If --call-MAGs flag is used, call any bin a 'MAG' if their completion estimate is\
-                              above this (the default is %(default)d), and the redundancy estimate is\
-                              less than --max-redundancy-for-MAG.")
-    groupC.add_argument('--max-redundancy-for-MAG', default=10, type=float, \
-                        help="If --call-MAGs flag is used, call any bin a 'MAG' if their redundancy estimate is\
-                              below this (the default is %(default)d) and the completion estimate is above\
-                              --min-completion-for-MAG.")
-    groupC.add_argument('--size-for-MAG', default=0.0, type=float, metavar='MEGABASEPAIRS',\
-                        help="If --call-MAGs flag is used, call any bin a 'MAG' if their redundancy estimate\
-                              is less than --max-redundancy-for-MAG, AND THEIR SIZE IS LARGER THAN THIS VALUE\
-                              REGARDLESS OF THE COMPLETION ESTIMATE. The default behavior is to not care about\
-                              this at all.")
+    groupB.add_argument(*anvio.A('dry-run'), **anvio.K('dry-run', {'help': "When used does NOT update the "
+                            "profile database, just creates the report file so you can view how things "
+                            "will be renamed."}))
+
+    groupC = parser.add_argument_group('MAG OPTIONS', "If you want to call some bins 'MAGs' because you are so cool")
+    groupC.add_argument('--call-MAGs', default=False, action="store_true", help = "This program by default "
+                            "rename your bins as 'PREFIX_Bin_00001', 'PREFIX_Bin_00002' and so on. If you "
+                            "use this flag, it will name the ones that meet the criteria described by "
+                            "MAG-related flags as 'PREFIX_MAG_00001', 'PREFIX_MAG_00002', and so on. The "
+                            "ones that do not get to be named as MAGs will remain as bins.")
+    groupC.add_argument('--min-completion-for-MAG', default=70, type=float, help="If --call-MAGs flag is "
+                            "used, call any bin a 'MAG' if their completion estimate is above this (the "
+                            "default is %(default)d), and the redundancy estimate is less than "
+                            "--max-redundancy-for-MAG.")
+    groupC.add_argument('--max-redundancy-for-MAG', default=10, type=float, help="If --call-MAGs flag is "
+                            "used, call any bin a 'MAG' if their redundancy estimate is below this (the "
+                            "default is %(default)d) and the completion estimate is above --min-completion-for-MAG.")
+    groupC.add_argument('--size-for-MAG', default=0.0, type=float, metavar='MEGABASEPAIRS', help="If --call-MAGs "
+                            "flag is used, call any bin a 'MAG' if their redundancy estimate is less than "
+                            "--max-redundancy-for-MAG, AND THEIR SIZE IS LARGER THAN THIS VALUE REGARDLESS OF THE "
+                            "COMPLETION ESTIMATE. The default behavior is to not care about this at all.")
+    groupC.add_argument('--exclude-bins', default=False, action="store_true", help="Exclude bins that don't match "
+                            "any of your criteria to call MAGs. By default, your new collection will include "
+                            "every single item in your original collection. But if you are calling MAGs with "
+                            "the `--call-MAGs` flag AND would like to keep only those that are determined to "
+                            "be a MAG, you can use this flag and all the 'bins' would then be excluded from "
+                            "your new collection, leaving you with only the 'good' stuff.")
+
     args = parser.get_args(parser)
 
     try:
diff --git a/bin/anvi-report-inversions b/bin/anvi-report-inversions
new file mode 100755
index 0000000000..cb1725f6be
--- /dev/null
+++ b/bin/anvi-report-inversions
@@ -0,0 +1,153 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+
+import sys
+
+import anvio
+import anvio.inversions as inversions
+
+from anvio.errors import ConfigError, FilesNPathsError
+from anvio.terminal import time_program, Run
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__authors__ = ['FlorianTrigodet', 'meren', 'ekiefl']
+__requires__ = ["bams-and-profiles-txt"]
+__provides__ = ["inversions-txt"]
+__description__ = "Reports inversions"
+
+run = Run()
+
+@time_program
+def main(args):
+    I = inversions.Inversions(args)
+    I.process()
+
+if __name__ == '__main__':
+    from anvio.argparse import ArgumentParser
+
+    parser = ArgumentParser(description=__description__)
+
+    groupA = parser.add_argument_group('INPUT DATA', "Essentially a BAMs and profiles file and nothing more.")
+    groupA.add_argument(*anvio.A('bams-and-profiles'), **anvio.K('bams-and-profiles'))
+
+    groupB = parser.add_argument_group('KEY ALGORITHMIC COMPONENT 01: IDENTIFYING REGIONS OF INTERSET', "How should anvi'o identify regions of interest "
+                    "based on REV/REV and FWD/FWD paired-end reads? Defaults will be good for most cases.")
+    groupB.add_argument('--min-coverage-to-define-stretches', default=10, type=int, help="Value to break up contigs into 'stretches' of "
+                    "high-coverage regions of FWD/FWD and REV/REV reads. The lower the value, the more noise. This acts as a low-pass "
+                    "filter if it helps you imagine how it works.", metavar="INT")
+    groupB.add_argument('--min-stretch-length', default=50, type=int, help="These are not the stretches you are looking for (unless they "
+                    "are longer than this, obv).", metavar="INT")
+    groupB.add_argument('--min-distance-between-independent-stretches', default=2000, type=int, help="Our 'low pass' filter may break a "
+                    "single stretch of reasonable coverage of FWD/FWD and REV/REV reads into multiple pieces. To recover from that, we "
+                    "wish to merge the fragmented ones if they are closer to one another than this value.", metavar="INT")
+    groupB.add_argument('--num-nts-to-pad-a-stretch', default=100, type=int, help="Some leeway towards upstream and downstream context "
+                    "that is essential to not miss key information due to coverage variation that may influence the beginnings and ends "
+                    "of final stretches.", metavar="INT")
+
+    groupC = parser.add_argument_group('KEY ALGORITHMIC COMPONENT 02: FINDING PALINDROMES', "Some essential parameters to find palindromes in sequence "
+                    "stretches anvi'o identified in the previous step")
+    groupC.add_argument(*anvio.A('min-palindrome-length'), **anvio.K('min-palindrome-length'))
+    groupC.add_argument(*anvio.A('max-num-mismatches'), **anvio.K('max-num-mismatches'))
+    groupC.add_argument(*anvio.A('min-distance'), **anvio.K('min-distance'))
+    groupC.add_argument(*anvio.A('min-mismatch-distance-to-first-base'), **anvio.K('min-mismatch-distance-to-first-base'))
+    groupC.add_argument(*anvio.A('palindrome-search-algorithm'), **anvio.K('palindrome-search-algorithm'))
+
+    groupD = parser.add_argument_group('KEY ALGORITHMIC COMPONENT 03: CONFIRMING INVERSIONS', "Which palindromes are inversions? A one million dollar "
+                    "question that is quite difficult to get right (but as anvi'o does get it right frequently).")
+    groupD.add_argument('--check-all-palindromes', default=False, action="store_true", help="In a given 'stretch' "
+                    "anvi'o has identified as a region of interest due to the coverage of FWD/FWD and REV/REV reads "
+                    "(see KEY ALGORITHMIC COMPONENT 01), there may be multiple palindromic sequences. By default, "
+                    "anvi'o will stop its search as soon as it finds evidence among short reads in the BAM file "
+                    "that suggests a given palindrome represents an active inversion, WITHOUT testing any of the "
+                    "remaining palindromes in the same region. While this strategy is extremely efficient as it "
+                    "will not go through all reads over and over again for each palindrome, it will miss if there "
+                    "are multiple inversions in a single stretch, which is extremely unlikely. But using this this "
+                    "you can instruct anvi'o to test ALL palindromes in a stretch. We understand -- we are "
+                    "unreasonable people, too.")
+    groupD.add_argument('--process-only-inverted-reads', default=False, action="store_true", help="At one point, "
+                    "anvi'o will have all the regions of interest in contigs that include palindromes that look "
+                    "promising. At that point, it will access to short reads in the BAM file to determine which "
+                    "palindromes in fact represent active inversions by searching for unique constructs that "
+                    "can only occur when a genomic region did funny things. One option is to search for such "
+                    "reads that are evidence of inversion activity among paired-end reads that are in FWD/FWD "
+                    "or REV/REV orientation. Which is defined by the fetch-filter 'inversions'. However, this "
+                    "may be too limiting as there may be paired-end reads that are too downstream or too upstream "
+                    "to the region of interest, and thus mapping FWD/REV or REV/FWD orientation just like every "
+                    "other non-rebellious paired end read, YET including one of the constructs. Thus, searching "
+                    "all reads may in fact help the identification of more inversions (especially those that are "
+                    "covered less), with only an added disadvantage of compute time, which should be negligible "
+                    "in almost all instances (since anvi'o at this stage is only focusing on very specific "
+                    "regions of genomes). But this parameter is here in case you insist on only using inverted "
+                    "paired-end reads and assert your authority. You do you and turn on the flag, you rebellious "
+                    "scientist who will likely miss a lot of additoinal inversions like a boss.")
+
+    groupE = parser.add_argument_group('KEY ALGORITHMIC COMPONENT 04: COMPUTING INVERSION ACTIVITY', "What is the "
+                    "proportion of invertible repeat orientation across samples? A two million dollars question "
+                    "that anvi'o WILL answer for you IF you have `r1` and `r2` columns in your `bams-and-profiles-txt` "
+                    "file that points to raw FASTQ reads you have used to generate your BAM files for each sample. "
+                    "Truly cray stuff.")
+    groupE.add_argument(*anvio.A('num-threads'), **anvio.K('num-threads'))
+    groupE.add_argument('--oligo-primer-base-length', default=12, type=int, help="Calculating inversion ratios "
+                    "require anvi'o to 'design' an in silico primer based on palindromes associated with inersions "
+                    "and the upstream/downstream genomic context to search for short reads in raw sequenicng data"
+                    "to find the ratio of inversion activity per sample. This variable is to control how much of "
+                    "the palindrome for a given inversion should be used to build a primer to search for short "
+                    "reads. The longer it is, the more specific the primers will be to survey short reads. But if "
+                    "if it is too long, then there will not be enough reads to 'keep' depending on the minimum "
+                    "short read length of the sequencing. The default value will probably good for the vast "
+                    "majority of cases.", metavar="INT")
+    groupE.add_argument('--skip-compute-inversion-activity', default=False, action="store_true", help="This flag "
+                    "will help you skip computing inversion activity, which is an extremely costly step, even if "
+                    "your `bams-and-profiles-txt` contains `r1` and `r2` entries. It may be a good idea to first "
+                    "run the workflow without computing activity, take a look at the CONSENSUS file to make sure "
+                    "everything looks alright, and then run the workflow without this flag.")
+    groupE.add_argument('--end-primer-search-after-x-hits', default=None, type=int, help="For very large "
+                    "datasets, primer search can take a very long time. By setting a small integer here, you can ask "
+                    "anvi'o to stop searching primers after a few hits. Once the total number of primer hits reach to "
+                    "number for a given sample, anvi'o will stop searching further and continue with the next sample. "
+                    "This flag is only good for testing, since it will prematurely end the search without testting "
+                    "all primers")
+
+    groupF = parser.add_argument_group('KEY ALGORITHMIC COMPONENT 05: REPORTING GENOMIC CONTEXT AROUND INVERSIONS',
+                    "Once the consensus inversions are computed, anvi'o can go back to contigs on which they are "
+                    "found, and for each inversion site report the surrounding genes and their functions as flat "
+                    "text files in the output directory so you can actually take quick look at them.")
+    groupF.add_argument('--skip-recovering-genomic-context', default=False, action="store_true", help="Of course "
+                    "you can skip this step because why should anyone have nice things.")
+    groupF.add_argument('--num-genes-to-consider-in-context', default=3, type=int, help="With this parameter you "
+                    "can adjust the number of genes anvi'o should consider to characterize the genomic context "
+                    "surrounding inversions. If you set nothing here, anvi'o will go 3 genes upstream from the "
+                    "first palindrome of the inversion and 3 genes downstream from the second. If there are not "
+                    "enough genes in the contig given the position of either of the palindromes, anvio' will "
+                    "report whatever it can.", metavar="INT")
+    groupF.add_argument(*anvio.A('gene-caller'), **anvio.K('gene-caller', {'help': "The gene caller to show gene calls "
+                    "from."}))
+
+
+    groupG = parser.add_argument_group('TARGETED SEARCH & PROCESSING', "By default anvi'o process every region of every "
+                    "contig it is given. Using the following three parameters, you can limit your search to a particular "
+                    "contig, start position, or end position. You can use ANY COMBINATION of these three. For instance, "
+                    "if you focus on a particular contig only, all regions identified in it by FWD/FWD or REV/REV reads. "
+                    "You can limit the search space on that contig using target region start and end parameters.")
+    groupG.add_argument(*anvio.A('verbose'), **anvio.K('verbose'))
+    groupG.add_argument(*anvio.A('target-contig'), **anvio.K('target-contig'))
+    groupG.add_argument(*anvio.A('target-region-start'), **anvio.K('target-region-start'))
+    groupG.add_argument(*anvio.A('target-region-end'), **anvio.K('target-region-end'))
+
+    groupG = parser.add_argument_group('OUTPUT DIRECTORY', "Where to put all the output files.")
+    groupG.add_argument(*anvio.A('output-dir'), **anvio.K('output-dir'))
+
+    args = parser.get_args(parser)
+
+
+    try:
+        main(args)
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
+    except FilesNPathsError as e:
+        print(e)
+        sys.exit(-1)
diff --git a/bin/anvi-run-kegg-kofams b/bin/anvi-run-kegg-kofams
index eb77b7f4b7..da0ddc2b16 100755
--- a/bin/anvi-run-kegg-kofams
+++ b/bin/anvi-run-kegg-kofams
@@ -13,7 +13,7 @@ __author__ = "Developers of anvi'o (see AUTHORS.txt)"
 __copyright__ = "Copyleft 2015-2020, the Meren Lab (http://merenlab.org/)"
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['ivagljiva']
+__authors__ = ['ivagljiva', 'semiller10']
 __requires__ = ["contigs-db", "kegg-data",]
 __provides__ = ["kegg-functions", "functions"]
 __description__ = "Run KOfam HMMs on an anvi'o contigs database"
@@ -37,6 +37,7 @@ if __name__ == '__main__':
     groupO.add_argument(*anvio.A('hmmer-program'), **anvio.K('hmmer-program'))
     groupO.add_argument(*anvio.A('keep-all-hits'), **anvio.K('keep-all-hits'))
     groupO.add_argument(*anvio.A('log-bitscores'), **anvio.K('log-bitscores'))
+    groupO.add_argument(*anvio.A('skip-brite-hierarchies'), **anvio.K('skip-brite-hierarchies'))
     groupO.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
 
     groupH = parser.add_argument_group('BITSCORE RELAXATION HEURISTIC', "Sometimes, KEGG-provided bitscore thresholds "
diff --git a/bin/anvi-run-ncbi-cogs b/bin/anvi-run-ncbi-cogs
index 14f0ca9844..a53507c1fa 100755
--- a/bin/anvi-run-ncbi-cogs
+++ b/bin/anvi-run-ncbi-cogs
@@ -51,7 +51,6 @@ if __name__ == '__main__':
     parser.add_argument(*anvio.A('cog-version'), **anvio.K('cog-version'))
     parser.add_argument(*anvio.A('cog-data-dir'), **anvio.K('cog-data-dir'))
     parser.add_argument(*anvio.A('num-threads'), **anvio.K('num-threads'))
-    parser.add_argument(*anvio.A('sensitive'), **anvio.K('sensitive'))
     parser.add_argument(*anvio.A('temporary-dir-path'), **anvio.K('temporary-dir-path'))
 
     parser.add_argument('--search-with', default=default_search_method, metavar="SEARCH_METHOD",
diff --git a/bin/anvi-search-palindromes b/bin/anvi-search-palindromes
new file mode 100755
index 0000000000..d0033c8504
--- /dev/null
+++ b/bin/anvi-search-palindromes
@@ -0,0 +1,95 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+"""A program to find palindromes in sequences."""
+
+import sys
+
+import anvio
+
+from anvio.terminal import time_program
+from anvio.argparse import ArgumentParser
+from anvio.sequencefeatures import Palindromes
+from anvio.errors import ConfigError, FilesNPathsError
+
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2021, the Meren Lab (http://merenlab.org/)"
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__authors__ = ['meren', 'ekiefl']
+__requires__ = ["dna-sequence", "fasta", "contigs-db"]
+__provides__ = ['palindromes-txt']
+__description__ = "A program to find palindromes in sequences"
+
+
+@time_program
+def main(args):
+    if not (args.dna_sequence or args.contigs_db or args.fasta_file):
+        raise ConfigError("You should send an input sequence source for this program to work.")
+
+    if not args.output_file:
+        args.verbose = True
+
+    p = Palindromes(args)
+
+    if args.contigs_db or args.fasta_file:
+        p.process()
+    elif args.dna_sequence:
+        p.find(args.dna_sequence)
+        p.report()
+
+
+if __name__ == "__main__":
+    parser = ArgumentParser(description=__description__)
+
+    groupA = parser.add_argument_group('SEQUENCE SOURCE', "Where should anvi'o find your sequences?")
+    groupA.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db', {'required': False}))
+    groupA.add_argument(*anvio.A('fasta-file'), **anvio.K('fasta-file'))
+    groupA.add_argument(*anvio.A('dna-sequence'), **anvio.K('dna-sequence'))
+
+    groupB = parser.add_argument_group('SEARCH ALGORITHM', "If your purpose is to search for palindromes in general, you "
+                    "shouldn't change the default algorithm, which is based on BLAST. But there is an exceedingly faster "
+                    "numba-based sequence search algorithm as an alternative for shorter sequences. There will be some "
+                    "differences between BLAST and numba, and some of the parameters you will set for palindrome parameters "
+                    "below will only be taken into consideration by BLAST.")
+    groupB.add_argument(*anvio.A('palindrome-search-algorithm'), **anvio.K('palindrome-search-algorithm', {'default': 'BLAST'}))
+
+    groupC = parser.add_argument_group('PALINDROME PROPERTIES', "Some essential stuff here about your palindromes. Please also "
+                    "see the search sensitivity section below.")
+    groupC.add_argument(*anvio.A('min-palindrome-length'), **anvio.K('min-palindrome-length'))
+    groupC.add_argument(*anvio.A('max-num-mismatches'), **anvio.K('max-num-mismatches'))
+    groupC.add_argument(*anvio.A('min-distance'), **anvio.K('min-distance'))
+    groupC.add_argument(*anvio.A('min-mismatch-distance-to-first-base'), **anvio.K('min-mismatch-distance-to-first-base'))
+
+    groupD = parser.add_argument_group('BLAST SENSITIVITY & PERFORMANCE', "These parameters are only relevant for BLAST.")
+    groupD.add_argument('--blast-word-size', metavar="INT", type=int, default=10, help="This parameter is passed to "
+                    "blastn as the `-word_size`, which literally means in the BLAST world the length of best perfect "
+                    "among your alignments. The shorter the word size, the more short palindromes you will find, but it "
+                    "will also influence your ability to find palindromes with mismatches. For instance, if the word size "
+                    "is 10, then you will not find a palindrome that is 18 nt long but have a mismatch right at the 9th "
+                    "nucleotide (because individual perfect matches in the alignment will have word sizes of less than 10). "
+                    "So if you want to search for palindromes with a lot of mismatches, then you would like to keep your "
+                    "word size small. But smaller word sizes will impact your performance negatively, and very small ones "
+                    "will simply make it impossible to finish running for especially long contigs. If you want to find "
+                    "palindromes with no mismatches, then you can safely match the word size to the minimum palindrome "
+                    "length. If you want to do some test run, take a DNA sequence (say about 1,000 nts) that contains a "
+                    "palindrome that looks like the kinds of palindromes you will be interested in finding, and run the "
+                    "program `anvi-search-palindromes` with `--dna` parameter and `--verbose` flag. As you play with the "
+                    "word size, minimum number of mismatches, and the minimum palindrome length, the output messages will "
+                    "help you determine your best parameters.")
+    groupD.add_argument(*anvio.A('num-threads'), **anvio.K('num-threads'))
+
+    groupE = parser.add_argument_group('OUTPUT', "Output options.")
+    groupE.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
+    groupE.add_argument(*anvio.A('verbose'), **anvio.K('verbose'))
+
+    args, unknown = parser.parse_known_args()
+
+    try:
+        main(args)
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
+    except FilesNPathsError as e:
+        print(e)
+        sys.exit(-2)
diff --git a/bin/anvi-search-primers b/bin/anvi-search-primers
new file mode 100755
index 0000000000..34b6b47f9d
--- /dev/null
+++ b/bin/anvi-search-primers
@@ -0,0 +1,73 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+
+import sys
+
+import anvio
+
+from anvio.errors import ConfigError, FilesNPathsError
+from anvio.sequencefeatures import PrimerSearch
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2019, the Meren Lab (http://merenlab.org/)"
+__credits__ = []
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__authors__ = ['meren']
+__provides__ = ["short-reads-fasta"]
+__requires__ = ["samples-txt", "primers-txt"]
+__description__ = ("You provide this program with FASTQ files for one or more samples AND one or more primer sequences, "
+                   "and it collects reads from FASTQ files that matches to your primers. This tool can be "
+                   "most powerful if you want to collect all short reads from one or more metagenomes that are "
+                   "downstream to a known sequence. Using the comprehensive output files you can analyze the "
+                   "diversity of seuqences visually, manually, or using established strategies such as oligotyping.")
+
+
+if __name__ == '__main__':
+    from anvio.argparse import ArgumentParser
+    parser = ArgumentParser(description=__description__)
+
+    groupA = parser.add_argument_group('INPUT FILES', "Here you are expected to declare your FASTQ files and sequences "
+                            "which you are interested to find in those FASTQ files. Each file should have at least one "
+                            "entry")
+    groupA.add_argument(*anvio.A('samples-txt'), **anvio.K('samples-txt'))
+    groupA.add_argument('--primers-txt', required=True, metavar='FILE', help="A two-column file that contains one "
+                            "or more primer sequences. See the primers-txt artifact for details.")
+
+    groupB = parser.add_argument_group('PARAMETERS OF LIFE OR DEATH', "Here you are expected to set appropriate "
+                            "parameters for your search (or you can choose to go with the defaults)")
+    groupB.add_argument('-m', '--min-remainder-length', metavar='INT', type=int, default=60,
+                        help="Minimum length of the remainder of the read after a match. If your short read "
+                              "is XXXMMMMMMYYYYYYYYYYYYYY, where Ms indicate the primer sequence, "
+                              "min remainder length is equal to the length of nucleotide matching Y. Default is %(default)d.")
+    groupB.add_argument('-x', '--only-report-primer-matches', default=False, action="store_true",
+                        help="For a given sequence with a primer match, report only the part of it that matches to the primer. "
+                             "In other words, if your short read is XXXMMMMMMYYYYYYYYYYYYYY, where Ms indicate part of your "
+                             "sequence that matches to the primer, setting this flag will remove all Xs and Ys. Setting "
+                             "this flag will automatically set the `--min-remainder-length` to 0. If you have a problem with "
+                             "that, let us know.")
+    groupB.add_argument('-R', '--only-report-remainders', default=False, action="store_true",
+                        help="For a given sequence with a primer match, report only the part that follows the primer. "
+                             "In other words, if your short read is XXXMMMMMMYYYYYYYYYYYYYY, where Ms indicate part of your "
+                             "sequence that matches to the primer, setting this flag will only report Ys. This flag "
+                             "is obviously incompatible with `--only-report-primer-matches` flag.")
+
+    groupC = parser.add_argument_group('TESTING?', "Be our guest.")
+    groupC.add_argument('--stop-after', metavar='INT', type=int, default=0, help="Stop after X number of hits because "
+                               "who needs data.")
+
+    groupD = parser.add_argument_group('OUTPUT', "Tell anvi'o where to put your thingies")
+    groupD.add_argument(*anvio.A('output-dir'), **anvio.K('output-dir', {'required': True}))
+
+    args = parser.get_args(parser)
+
+    try:
+        s = PrimerSearch(args)
+        s.process()
+        s.print_summary()
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
+    except FilesNPathsError as e:
+        print(e)
+        sys.exit(-2)
diff --git a/bin/anvi-self-test b/bin/anvi-self-test
index 1b81f82d65..671a9de58b 100755
--- a/bin/anvi-self-test
+++ b/bin/anvi-self-test
@@ -26,15 +26,20 @@ __authors__ = ['meren', 'semiller10', 'ekiefl', 'ivagljiva']
 __description__ = "A script for anvi'o to test itself"
 
 
-tests = {'mini'                 : ['run_mini_test.sh'],
-         'metagenomics-full'    : ['run_all_tests.sh'],
-         'pangenomics'          : ['run_pangenome_tests.sh'],
-         'genome-view'          : ['run_genome_view.sh'],
-         'interactive-interface': ['run_manual_interactive.sh'],
-         'metabolism'           : ['run_metabolism_tests.sh'],
-         'display-functions'    : ['run_display_functions_tests.sh'],
-         'alons-classifier'     : ['run_alons_classifier_tests.sh'],
-         'trnaseq'              : ['run_trnaseq_tests.sh']}
+tests = {'mini'                  : ['run_component_tests_for_minimal_metagenomics.sh'],
+         'metagenomics-full'     : ['run_component_tests_for_metagenomics.sh'],
+         'pangenomics'           : ['run_component_tests_for_pangenomics.sh'],
+         'interactive-interface' : ['run_component_tests_for_manual_interactive.sh'],
+         'metabolism'            : ['run_component_tests_for_metabolism.sh'],
+         'display-functions'     : ['run_component_tests_for_display_functions.sh'],
+         'trnaseq'               : ['run_component_tests_for_trnaseq.sh'],
+         'inversions'            : ['run_component_tests_for_inversions.sh'],
+         'workflow-contigs'      : ['run_workflow_tests_for_contigs.sh'],
+         'workflow-metagenomics' : ['run_workflow_tests_for_metagenomics.sh'],
+         'workflow-pangenomics'  : ['run_workflow_tests_for_pangenomics.sh'],
+         'workflow-phylogenomics': ['run_workflow_tests_for_phylogenomics.sh'],
+         'database-migrations'   : ['run_migration_tests_for_ancient_anvio_databases.sh'],
+         }
 
 run = terminal.Run()
 
diff --git a/bin/anvi-setup-kegg-kofams b/bin/anvi-setup-kegg-kofams
index e1e7284786..bb9b6b26cc 100755
--- a/bin/anvi-setup-kegg-kofams
+++ b/bin/anvi-setup-kegg-kofams
@@ -13,9 +13,9 @@ __author__ = "Developers of anvi'o (see AUTHORS.txt)"
 __copyright__ = "Copyleft 2015-2020, the Meren Lab (http://merenlab.org/)"
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['ivagljiva']
+__authors__ = ['ivagljiva', 'semiller10']
 __provides__ = ["kegg-data", "modules-db"]
-__description__ = "Download and setup KEGG KOfam HMM profiles and KEGG MODULE data"
+__description__ = "Download and setup KEGG KOfam HMM profiles plus KEGG MODULE and KEGG BRITE data"
 
 @time_program
 def main(args):
@@ -26,15 +26,35 @@ if __name__ == '__main__':
     from anvio.argparse import ArgumentParser
 
     parser = ArgumentParser(description=__description__)
-    groupI = parser.add_argument_group('POSSIBLE INPUT', "Not required for this program to run, but could be useful. Note "
-                                       "that if you provide no parameters, this program will download the frozen "
-                                       "snapshot of the KEGG databases that is associated with the latest release of anvi'o.")
-    groupI.add_argument(*anvio.A('kegg-data-dir'), **anvio.K('kegg-data-dir'))
-    groupI.add_argument(*anvio.A('kegg-archive'), **anvio.K('kegg-archive'))
-    groupI.add_argument(*anvio.A('download-from-kegg'), **anvio.K('download-from-kegg'))
-    groupI.add_argument(*anvio.A('kegg-snapshot'), **anvio.K('kegg-snapshot'))
-    groupI.add_argument(*anvio.A('reset'), **anvio.K('reset'))
-    groupI.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
+    groupS = parser.add_argument_group('DEFAULT SETUP - KEGG SNAPSHOT', "This program will set up metabolism "
+                                       "data from the KEGG resource of databases. By default, it will download "
+                                       "the snapshot of KEGG that is associated with the latest release of anvi'o. "
+                                       "But if you want a different snapshot, you can specify that. :) ")
+    groupS.add_argument(*anvio.A('kegg-snapshot'), **anvio.K('kegg-snapshot'))
+
+    groupD = parser.add_argument_group('DOWNLOAD FROM KEGG WEBSITE', "Choose this option for the most up-to-date "
+                                        "version of KEGG data, downloaded using the KEGG API. May fail if KEGG "
+                                        "updates its formatting (but if that happens, you can always try the default "
+                                        "option).")
+    groupD.add_argument(*anvio.A('download-from-kegg'), **anvio.K('download-from-kegg'))
+    groupD.add_argument(*anvio.A('only-download'), **anvio.K('only-download'))
+    groupD.add_argument(*anvio.A('only-database'), **anvio.K('only-database'))
+    groupD.add_argument(*anvio.A('overwrite-output-destinations'), **anvio.K('overwrite-output-destinations',
+                                                                                {'help': "Overwrite any existing modules database "
+                                                                                         "in the KEGG data directory "
+                                                                                         "[USE WITH CAUTION]. Only relevant if you "
+                                                                                         "are using the --only-database flag"}))
+
+    groupA = parser.add_argument_group('SETUP FROM KEGG ARCHIVE', "Choose this option if you already have a "
+                                        ".tar.gz archive of anvi'o-formatted KEGG data on your computer. We'll "
+                                        "setup from this archive instead of downloading one.")
+    groupA.add_argument(*anvio.A('kegg-archive'), **anvio.K('kegg-archive'))
+
+    groupE = parser.add_argument_group('EXTRAS', "Extras for the extra.")
+    groupE.add_argument(*anvio.A('kegg-data-dir'), **anvio.K('kegg-data-dir'))
+    groupE.add_argument(*anvio.A('skip-brite-hierarchies'), **anvio.K('skip-brite-hierarchies'))
+    groupE.add_argument(*anvio.A('reset'), **anvio.K('reset'))
+    groupE.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
 
     args = parser.get_args(parser)
 
diff --git a/bin/anvi-summarize b/bin/anvi-summarize
index 1ebc5a6ec2..dd3a7a631a 100755
--- a/bin/anvi-summarize
+++ b/bin/anvi-summarize
@@ -10,6 +10,7 @@ import anvio.utils as utils
 import anvio.dbops as dbops
 import anvio.terminal as terminal
 import anvio.summarizer as summarizer
+import anvio.filesnpaths as filesnpaths
 
 from anvio.errors import ConfigError, FilesNPathsError
 
@@ -39,8 +40,8 @@ def main(args):
     # place to perform this check before its too much CPU time has already passed (see #1430 for an actual
     # user complaint):
     A = lambda x: args.__dict__[x] if x in args.__dict__ else None
-    if A('output_dir') and not A('delete_output_directory_if_exists') and os.path.exists(A('output_dir')):
-        raise ConfigError("The output directory '%s' already exists and anvi'o is not prepared to remove it just because." % A('output_dir'))
+    if A('output_dir'):
+        filesnpaths.check_output_directory(A('output_dir'))
 
     # k, gud. lets move on with business.
     db_type = utils.get_db_type(args.pan_or_profile_db)
diff --git a/conda-recipe/anvio-minimal/meta.yaml b/conda-recipe/anvio-minimal/meta.yaml
deleted file mode 100644
index a0d61a77d5..0000000000
--- a/conda-recipe/anvio-minimal/meta.yaml
+++ /dev/null
@@ -1,66 +0,0 @@
-{% set version = "7" %}
-
-package:
-  name: anvio-minimal
-  version: {{ version }}
-
-source:
-  git_url: https://github.com/merenlab/anvio
-  git_tag: release-candidate
-
-build:
-  number: 0
-  noarch: python
-  script: python -m pip install --no-deps --ignore-installed -vv .
-
-requirements:
-  host:
-    - python >=3
-    - pip
-  run:
-    - python >=3
-    - numpy
-    - bottle
-    - pysam
-    - ete3
-    - scipy
-    # the following prevents an openmp error first reported in
-    # merenlab/anvio#1489 that also occurs during conda bulid:
-    # https://github.com/bioconda/bioconda-recipes/pull/26014#issuecomment-753693842
-    - scikit-learn >=0.23.2
-    - django
-    - requests
-    - psutil ==5.4.3
-    - mistune
-    - six
-    - pandas ==0.25.1
-    - matplotlib-base
-    - statsmodels
-    - colored
-    - illumina-utils
-    - tabulate
-    - numba
-    - sqlite >=3.31.1
-    - paste
-    - vmatch
-    # these three are critical versions. any changes must be
-    # tested with extra attention:
-    - pyani ==0.2.10
-    - snakemake-minimal ==5.10.0
-test:
-  commands:
-    - anvi-pan-genome --help
-    - anvi-script-reformat-fasta --help
-
-about:
-  home: http://merenlab.org/software/anvio/
-  license: GPL-3.0-or-later
-  license_family: GPL3
-  license_file: LICENSE.txt
-  summary: "An interactive analysis and visualization platform for omics data"
-  dev_url:  https://github.com/merenlab/anvio
-
-extra:
-  container:
-    # extended-base generates en_US.UTF-8 locale and sets LC_ALL, LANG properly
-    extended-base: True
diff --git a/conda-recipe/anvio/meta.yaml b/conda-recipe/anvio/meta.yaml
deleted file mode 100644
index c5de9d2347..0000000000
--- a/conda-recipe/anvio/meta.yaml
+++ /dev/null
@@ -1,53 +0,0 @@
-{% set version = "7" %}
-
-package:
-  name: anvio
-  version: {{ version }}
-
-build:
-  noarch: generic
-  number: 0
-
-requirements:
-  run:
-    - anvio-minimal =={{ version }}
-    - prodigal
-    - mcl
-    - muscle
-    - hmmer
-    - diamond
-    - blast
-    - megahit
-    - spades
-    - bowtie2
-    - bwa
-    - samtools
-    - centrifuge
-    - trimal
-    - iqtree
-    - fastani
-    - trnascan-se
-    - r-base
-    - r-stringi
-    - r-tidyverse
-    - r-magrittr
-    - r-optparse
-    - bioconductor-qvalue
-    - fasttree
-    - vmatch
-
-test:
-  commands:
-    - anvi-self-test --help
-
-about:
-  home: http://merenlab.org/software/anvio/
-  license: GPL-3.0-or-later
-  license_family: GPL3
-  summary: "An interactive analysis and visualization platform for 'omics data"
-  dev_url:  https://github.com/merenlab/anvio
-
-extra:
-  container:
-    # extended-base generates en_US.UTF-8 locale and sets LC_ALL, LANG properly
-    extended-base: True
diff --git a/requirements.txt b/requirements.txt
index 4451809537..5fb7c4e646 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -15,7 +15,9 @@ illumina-utils
 tabulate
 numba
 paste
-pyani==0.2.10
-psutil==5.4.3
-pandas==0.25.1
-snakemake==5.10.0
\ No newline at end of file
+pyani
+psutil
+pandas>=1.2.1
+snakemake
+multiprocess
+plotext
diff --git a/sandbox/anvi-script-add-default-collection b/sandbox/anvi-script-add-default-collection
index 41c353e0a4..b06a36a725 100755
--- a/sandbox/anvi-script-add-default-collection
+++ b/sandbox/anvi-script-add-default-collection
@@ -5,12 +5,8 @@
 import sys
 
 import anvio
-import anvio.utils as utils
-import anvio.dbops as dbops
-import anvio.terminal as terminal
 
 from anvio.argparse import ArgumentParser
-from anvio.tables import splits_info_table_name
 from anvio.errors import ConfigError, FilesNPathsError
 from anvio.tables.collections import TablesForCollections
 
@@ -26,38 +22,6 @@ __requires__ = ["pan-db", "profile-db", "contigs-db"]
 __description__ = ("A script to add a 'DEFAULT' collection in an anvi'o pan or profile database with "
                    "a bin named 'EVERYTHING' that describes all items available in the profile database")
 
-pp = terminal.pretty_print
-run = terminal.Run()
-progress = terminal.Progress()
-
-
-def main(args):
-    utils.is_pan_or_profile_db(args.pan_or_profile_db)
-
-    if utils.get_db_type(args.pan_or_profile_db) == 'profile' and utils.is_blank_profile(args.pan_or_profile_db):
-        if not args.contigs_db:
-            raise ConfigError("Yes but anvi'o can't add a 'default' collection into a blank profile database (yes, yours is a "
-                              "blank profile database). The reason to that is because blank profile databases do not know about "
-                              "the items names they pretend to know. Why? Well, it is a long story, BUT FORTUNATELY, you can "
-                              "recover from this by providing the contigs database your blank profile is associated with, and "
-                              "things would likely work.")
-        else:
-            utils.is_profile_db_and_contigs_db_compatible(args.pan_or_profile_db, args.contigs_db)
-            contigs_db = dbops.ContigsDatabase(args.contigs_db)
-            all_items = contigs_db.db.get_single_column_from_table(splits_info_table_name, 'split')
-            contigs_db.disconnect()
-    else:
-        if args.contigs_db:
-            run.warning("You should provide a contigs database to this script only if you are working with an anvi'o blank "
-                        "profile database, which doesn't seem to be the case here. Anvi'o did think about raising an error "
-                        "and killing your awesome analysis on its track in the name of being explicit, but then it decided "
-                        "to ignore it for this once. Basically, the contigs database you provided will not be utilized for "
-                        "anything.")
-
-        all_items = utils.get_all_item_names_from_the_database(args.pan_or_profile_db)
-
-    collections_table = TablesForCollections(args.pan_or_profile_db)
-    collections_table.append(args.collection_name, {args.bin_id: all_items})
 
 if __name__ == '__main__':
     parser = ArgumentParser(description=__description__)
@@ -76,7 +40,9 @@ if __name__ == '__main__':
     args = parser.get_args(parser)
 
     try:
-        main(args)
+        TablesForCollections(args.pan_or_profile_db).add_default_collection_to_db(contigs_db_path=args.contigs_db,
+                                                                                  collection_name=args.collection_name,
+                                                                                  bin_name=args.bin_id)
     except ConfigError as e:
         print(e)
         sys.exit(-1)
diff --git a/sandbox/anvi-script-filter-hmm-hits-table b/sandbox/anvi-script-filter-hmm-hits-table
index 24ba297216..e5863cfc70 100755
--- a/sandbox/anvi-script-filter-hmm-hits-table
+++ b/sandbox/anvi-script-filter-hmm-hits-table
@@ -1,22 +1,24 @@
 #!/usr/bin/env python
 # -*- coding: utf-8
 
+"""
+This script removes the hmm_hits table and replaces it with a filtered version. Filtering of hmm_hits
+is done using query and/or target coverage
+"""
+
 import sys
 import os
-import numpy as np
 import pandas as pd
 
 import anvio
 import anvio.data.hmm
-import anvio.db as db
+import anvio.utils as utils
 import anvio.hmmops as hmmops
-import anvio.bamops as bamops
 import anvio.terminal as terminal
 import anvio.filesnpaths as filesnpaths
 
 from anvio.dbops import ContigsDatabase
 from anvio.parsers import parser_modules
-from anvio.argparse import ArgumentParser
 from anvio.tables.hmmhits import TablesForHMMHits
 from anvio.errors import ConfigError, FilesNPathsError
 
@@ -41,19 +43,56 @@ class FilterHmmHitsTable(object):
         self.progress = progress
 
         A = lambda x: args.__dict__[x] if x in args.__dict__ else None
+
         self.contigs_db_path=A("contigs_db")
         self.domtblout=A("domain_hits_table")
         self.hmm_source=A("hmm_source")
         self.target_coverage=A("target_coverage")
         self.query_coverage=A("query_coverage")
         self.list_hmm_sources=A("list_hmm_sources")
+        self.hmm_profile_dir=A("hmm_profile_dir")
+        self.merge_partial_hits_within_X_nts = A('merge_partial_hits_within_X_nts')
 
         if self.list_hmm_sources:
             ContigsDatabase(self.contigs_db_path).list_available_hmm_sources()
             sys.exit()
 
+        # Grab HMM sources from internal or external HMMs
+        if self.hmm_profile_dir:
+            self.sources = utils.get_HMM_sources_dictionary([args.hmm_profile_dir])
+        else:
+            self.sources = anvio.data.hmm.sources
+
+        # hmmsearch results so the queries are the hmm models and the targets are the ORFs
+        self.dom_table_columns = [
+            ('gene_callers_id',  int),   #  0  target name
+            ('target_accession', str),   #  1  target accession
+            ('gene_length',      int),   #  2  tlen
+            ('hmm_name',         str),   #  3  query name
+            ('hmm_id',           str),   #  4  accession
+            ('hmm_length',       int),   #  5  qlen
+            ('evalue',           float), #  6  E-value (full sequence)
+            ('bitscore',         float), #  7  score (full sequence)
+            ('bias',             float), #  8  bias (full sequence)
+            ('match_num',        int),   #  9  # (this domain)
+            ('num_matches',      int),   # 10  of (this domain)
+            ('dom_c_evalue',     float), # 11  c-Evalue (this domain)
+            ('dom_i_evalue',     float), # 12  i-Evalue (this domain)
+            ('dom_bitscore',     str),   # 13  score (this domain)
+            ('dom_bias',         float), # 14  bias (this domain)
+            ('hmm_start',        int),   # 15  from (hmm coord)
+            ('hmm_stop',         int),   # 16  to (hmm coord)
+            ('gene_start',       int),   # 17  from (ali coord)
+            ('gene_stop',        int),   # 18  to (ali coord)
+            ('env_to',           str),   # 19  from (env coord)
+            ('env_from',         str),   # 10  to (env coord)
+            ('mean_post_prob',   float), # 21  acc
+            ('description',      str),   # 22  description of target
+        ]
+
 
     def sanity_checks(self):
+        """Sanity checks for program inputs."""
 
         filesnpaths.is_file_exists(self.contigs_db_path)
         self.run.info("Database Path", self.contigs_db_path)
@@ -69,67 +108,156 @@ class FilterHmmHitsTable(object):
         if self.hmm_source not in info_table:
             raise ConfigError(f"Whoa there, the HMM source you provided, '{self.hmm_source}', is not in your contigsDB: "
                               f"{self.contigs_db_path}. Maybe you misspelled it? Maybe you never added it to your contigsDB??"
-                              "Please use --list-hmm-sources to see which HMM sources you have available. If you don't see the HMMs you "
-                              "need then try re-running anvi-run-hmms and make sure to specify your HMM source of interest.")
+                              f"Please use --list-hmm-sources to see which HMM sources you have available. If you don't see the HMMs you "
+                              f"need then try re-running anvi-run-hmms and make sure to specify your HMM source of interest.")
 
-        sources = anvio.data.hmm.sources
-        target = sources[self.hmm_source]['target'].split(':')
+        target = self.sources[self.hmm_source]['target'].split(':')
 
         if target[0] != 'AA':
             raise ConfigError(f"The hmm-source {self.hmm_source} is not for amino acid sequences. "
-                              "anvi-script-filter-hmm-hit-table currently can only work with hmm-sources "
-                              "from protein sequences.")
+                              f"anvi-script-filter-hmm-hit-table currently can only work with hmm-sources "
+                              f"from protein sequences.")
 
 
     def process(self):
+        """Method to run the functions of this program"""
 
         self.sanity_checks()
 
         self.import_domtblout()
 
-        x = self.filter_domtblout()
+        # file_path_csv
+        filtered_domtblout_path = self.filter_domtblout()
+
+        search_results_dict = self.parse_domtblout(filtered_domtblout_path)
 
-        self.get_hmm_hit_table(hmmsearch_tbl=x)
+        self.append_search_results_dict_to_hmm_tables(search_results_dict = search_results_dict)
 
         # remove the tmp file
         if anvio.DEBUG:
-            self.run.info("Filtered domtblout file", x)
+            self.run.info("Filtered domtblout file", filtered_domtblout_path)
         elif not anvio.DEBUG:
-            os.remove(x)
+            os.remove(filtered_domtblout_path)
+
+
+    def merge_partial_hits(self):
+        """Merge all partial hits in a DOM table for the same source HMM and target gene.
+
+        Parts of the same model can hit multiple distinct regions of the same gene, resulting
+        in independent entries in teh DOM table output file. This funtion merges those
+        independent hits into a single one if they are close enough to one another.
+        """
+
+        orig_file_path = self.domtblout + '.orig'
+        temp_file_path = self.domtblout + '.tmp'
+
+        self.run.warning(f"You requested anvi'o to merge partial hits for a given gene by the same "
+                         f"model if the distance between independent stretches of coverage is "
+                         f"less than {self.merge_partial_hits_within_X_nts} nucleotides. Before "
+                         f"moving forward, anvi'o will first create a copy of the original domtblout input table "
+                         f"and store an updated version of the input table with merged hits for "
+                         f"downstream analyses to use.",
+                         header="MERGING PARTIAL HITS FIRST", lc='green')
+
+        AVG = lambda x: str(sum([float(dom_table_entries[i][x]) for i in line_nums_to_be_merged]) / len(line_nums_to_be_merged))
+        MIN = lambda x: str(min([float(dom_table_entries[i][x]) for i in line_nums_to_be_merged]))
+        MAX = lambda x: str(max([float(dom_table_entries[i][x]) for i in line_nums_to_be_merged]))
+
+        unique_gene_model_pairs = {}
+        with open(self.domtblout) as dom_table:
+            dom_table_entries = [l.strip('\n').split(maxsplit=len(self.dom_table_columns) - 1) for l in dom_table.readlines()]
+
+            for i in range(0, len(dom_table_entries)):
+                entry = dom_table_entries[i]
+
+                # basically the concatenated gene callers id and model name
+                idx = f"{entry[0]}_{entry[3]}"
+
+                if idx not in unique_gene_model_pairs:
+                    unique_gene_model_pairs[idx] = []
+
+                unique_gene_model_pairs[idx].append(i)
+
+        with open(temp_file_path, 'w') as output:
+            for hits in unique_gene_model_pairs.values():
+                if len(hits) == 1:
+                    # if we are here, it means there is a single hit in the output file for
+                    # a given gene/model, thus, it will just go into the output file as is
+                    output.write('\t'.join(dom_table_entries[hits[0]]) + '\n')
+                else:
+                    # if we are here, it means there are more than oen hits in the output
+                    # file for a given gene/model. we will figure out whether we can merge them.
+
+                    # here we identify independent stretches of gene start / stop positions for
+                    # each hit
+                    gene_start_ind = [l[0] for l in self.dom_table_columns].index('gene_start')
+                    gene_stop_ind = [l[0] for l in self.dom_table_columns].index('gene_stop')
+                    stretches = [(int(dom_table_entries[hit][gene_start_ind]), int(dom_table_entries[hit][gene_stop_ind])) for hit in hits]
+
+                    # merge each strech of the gene covered by the model into longer segments if they are
+                    # closer to one another more than `self.merge_partial_hits_within_X_nts`
+                    merged_stretches = utils.merge_stretches(stretches, min_distance_between_independent_stretches=self.merge_partial_hits_within_X_nts)
+
+
+                    # now the challenge is to turn these stretches wit hstart-stop positions into actual
+                    # line numbers. first, we will figure out which line number in hits correspond to which
+                    # start position of the gene.
+                    start_position_to_line_number = []
+                    for i in range(0, len(stretches)):
+                        start_position_to_line_number.append((stretches[i][0], hits[i]),)
+
+                    # next, we will identify which line numbers should be merged, which will be
+                    # described by `m`, a list of lists.
+                    list_of_line_nums_to_be_merged = []
+                    start_position_of_merged_stretches = [m[0] for m in merged_stretches]
+                    for start_pos, line_number in start_position_to_line_number:
+                        if start_pos in start_position_of_merged_stretches:
+                            list_of_line_nums_to_be_merged.append([line_number])
+                        else:
+                            list_of_line_nums_to_be_merged[-1].append(line_number)
+
+                    if anvio.DEBUG:
+                        self.run.info('Hits', hits)
+                        self.run.info('Stretches', stretches)
+                        self.run.info('Merged stretches', merged_stretches)
+                        self.run.info('ST/STP pos to line num', start_position_to_line_number)
+                        self.run.info('Line numbers to merge', list_of_line_nums_to_be_merged, nl_after=2)
+
+                    # in the next few lines, we turn lines that look like the following:
+                    #
+                    # ['781', '-', '1270', 'RNAP-b_all', '-', '1139', '2e-113', '377.9', '2.1', '2', '5', '9.5e-24', '4.2e-20', '68.8', '0.0', '347', '513', '387', '542', '384', '546', '0.90', '-']
+                    # ['781', '-', '1270', 'RNAP-b_all', '-', '1139', '2e-113', '377.9', '2.1', '3', '5', '9.9e-10', '4.3e-06', '22.4', '0.0', '661', '711', '610', '660', '543', '663', '0.81', '-']
+                    # ['781', '-', '1270', 'RNAP-b_all', '-', '1139', '2e-113', '377.9', '2.1', '4', '5', '2.2e-19', '9.7e-16', '54.4', '0.0', '743', '846', '760', '861', '754', '871', '0.87', '-']
+                    #
+                    # into something like this, and write it into our output file (see the start / stop positions of colums
+                    # that matter):
+                    #
+                    # ['781', '-', '1270', 'RNAP-b_all', '-', '1139', '2e-113', '377.9', '2.1', '1', '1', '9.5e-24', '4.2e-20', '68.8', '0.0', '347', '846', '387', '861', '384', '871', '0.86', '-']
+                    #
+                    for line_nums_to_be_merged in list_of_line_nums_to_be_merged:
+                        FIRSTLINE = dom_table_entries[line_nums_to_be_merged[0]]
+                        LASTTLINE = dom_table_entries[line_nums_to_be_merged[-1]]
+                        NEW_LINE = FIRSTLINE[0:9] + ['1', '1'] + [MIN(11), MIN(12), MAX(13), AVG(14), FIRSTLINE[15], LASTTLINE[16], FIRSTLINE[17], LASTTLINE[18], FIRSTLINE[19], LASTTLINE[20], AVG(21), LASTTLINE[22]]
+
+                        output.write('\t'.join(NEW_LINE) + '\n')
+
+        utils.shutil.move(self.domtblout, orig_file_path)
+        utils.shutil.move(temp_file_path, self.domtblout)
+        self.run.info("Original input table is moved to", orig_file_path, mc="green")
+        self.run.info("Merged table is now at", self.domtblout, mc="green")
+        self.run.info_single('=' * self.run.width, level=0, nl_after=2, mc="green")
 
 
     def import_domtblout(self):
+        """Import the domtblout file from hmmsearch then calculate query and target coverage"""
 
-        # hmmsearch results so the queries are the hmm models and the targets are the ORFs
-        col_info = [
-            ('gene_callers_id',  int),   # target name
-            ('target_accession', str),   # target accession
-            ('gene_length',      int),   # tlen
-            ('hmm_name',         str),   # query name
-            ('hmm_id',           str),   # accession
-            ('hmm_length',       int),   # qlen
-            ('evalue',           float), # E-value (full sequence)
-            ('bitscore',         float), # score (full sequence)
-            ('bias',             float), # bias (full sequence)
-            ('match_num',        int),   # # (this domain)
-            ('num_matches',      int),   # of (this domain)
-            ('dom_c_evalue',     float), # c-Evalue (this domain)
-            ('dom_i_evalue',     float), # i-Evalue (this domain)
-            ('dom_bitscore',     str),   # score (this domain)
-            ('dom_bias',         float), # bias (this domain)
-            ('hmm_start',        int),   # from (hmm coord)
-            ('hmm_stop',         int),   # to (hmm coord)
-            ('gene_start',       int),   # from (ali coord)
-            ('gene_stop',        int),   # to (ali coord)
-            ('env_to',           str),   # from (env coord)
-            ('env_from',         str),   # to (env coord)
-            ('mean_post_prob',   float), # acc
-            ('description',      str),   # description of target
-        ]
+        if self.merge_partial_hits_within_X_nts:
+            self.merge_partial_hits()
+
+        colnames_coltypes_list = list(zip(*self.dom_table_columns))
+        colnames_coltypes_dict = dict(zip(colnames_coltypes_list[0], colnames_coltypes_list[1]))
 
         try:
-            colnames_coltypes_list = list(zip(*col_info))
-            colnames_coltypes_dict = dict(zip(colnames_coltypes_list[0], colnames_coltypes_list[1]))
 
             self.df=pd.read_csv(self.domtblout,
                             delim_whitespace=True,
@@ -140,13 +268,17 @@ class FilterHmmHitsTable(object):
                             index_col=False)
         except Exception as e:
             print(e)
-            raise ConfigError("Doesn't look like a --domtblout")
+            raise ConfigError(f"Doesn't look like a --domtblout... anvi'o can't even... "
+                              f"Please look at this error message to find out what happened: "
+                              f"{e}")
 
         self.df['query_coverage'] = ((self.df['hmm_stop'] - self.df['hmm_start'])/ self.df['hmm_length'])
         self.df['target_coverage'] = ((self.df['gene_stop'] - self.df['gene_start'])/ self.df['gene_length'])
 
 
     def filter_domtblout(self):
+        """Filter the hmm_hits table based on query and/or target coverage"""
+
         # Filtering conditions
         if self.query_coverage and self.target_coverage:
             df_filtered = self.df[(self.df['query_coverage'] > float(self.query_coverage)) & (self.df['target_coverage'] > float(self.target_coverage))]
@@ -170,11 +302,8 @@ class FilterHmmHitsTable(object):
         return domtblout_tmp_out
 
 
-    def get_hmm_hit_table(self, hmmsearch_tbl=None):
-
-        # Remove old hmm_hits contigs_db_path
-        hmm_tables = TablesForHMMHits(self.contigs_db_path)
-        hmm_tables.remove_source(self.hmm_source)
+    def parse_domtblout(self, hmmsearch_tbl=None):
+        """Parse the new, filtered domtblout file"""
 
         # Parse domtblout
         alphabet= 'AA'
@@ -184,17 +313,35 @@ class FilterHmmHitsTable(object):
         parser = parser_modules['search']['hmmer_table_output'](hmmsearch_tbl, alphabet=alphabet, context=context, program=hmm_program)
         search_results_dict = parser.get_search_results()
 
-        # Re-write hmm_hits table to contigDB
-        sources = anvio.data.hmm.sources
+        return search_results_dict
+
+
+    def append_search_results_dict_to_hmm_tables(self, search_results_dict=None):
+        """Put in the new filtered hmm_hits table to the contigsDB"""
 
+        # Remove old hmm_hits contigs_db_path
+        hmm_tables = TablesForHMMHits(self.contigs_db_path)
+        hmm_tables.remove_source(self.hmm_source)
+
+        # Re-write hmm_hits table to contigsDB
+
+        internal_sources = list(anvio.data.hmm.sources.keys())
         source = self.hmm_source
 
-        kind_of_search = sources[source]['kind']
-        domain = sources[source]['domain']
-        all_genes_searched_against = sources[source]['genes']
-        reference = sources[source]['ref']
+        if self.sources not in internal_sources:
+            kind_of_search = self.sources[source]['kind']
+            domain = self.sources[source]['domain']
+            all_genes_searched_against = self.sources[source]['genes']
+            reference = self.sources[source]['ref']
+        else:
+            sources = anvio.data.hmm.sources
+            source = self.hmm_source
+            kind_of_search = sources[source]['kind']
+            domain = sources[source]['domain']
+            all_genes_searched_against = sources[source]['genes']
+            reference = self.sources[source]['ref']
 
-        hmm_tables.append(source, reference, kind_of_search, domain, all_genes_searched_against, search_results_dict)
+        hmm_tables.append_to_hmm_hits_table(source, reference, kind_of_search, domain, all_genes_searched_against, search_results_dict)
 
 
 @terminal.time_program
@@ -210,11 +357,20 @@ if __name__ == '__main__':
     parser.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
     parser.add_argument(*anvio.A('hmm-source'), **anvio.K('hmm-source'))
     parser.add_argument(*anvio.A('list-hmm-sources'), **anvio.K('list-hmm-sources'))
+    parser.add_argument(*anvio.A('hmm-profile-dir'), **anvio.K('hmm-profile-dir'))
     parser.add_argument('--domain-hits-table', metavar='PATH', help="Please provide the path to the domain-table-output. You can get this file from running anvi-run-hmms with the flag --domain-hits-table.")
-    parser.add_argument('--target-coverage',
-                        help=" (ali_coord_to - ali_coord_from)/target_length")
-    parser.add_argument('--query-coverage',
-                        help=" (hmm_coord_to - hmm_coord_from)/hmm_length")
+    parser.add_argument('--gene-coverage',
+                        help="Percent of the gene that is covered by the profile HMM after hmmsearch. This is the formula using the domtblout from hmmsearch: (ali_coord_to - ali_coord_from)/target_length")
+    parser.add_argument('--model-coverage',
+                        help="Percent of the profile HMM model that is covered by the gene after hmmsearch. This is the formula using the domtblout from hmmsearch: (hmm_coord_to - hmm_coord_from)/hmm_length")
+    parser.add_argument('--merge-partial-hits-within-X-nts', metavar='LENGTH', default=0, type=int, help="Filtering HMM hits based on "
+                        "target or query coverage can be difficult when a gene is covered by multiple independent hits of a single "
+                        "model. In these cases, the best way forward is to merge independent hits if they are close enough (for "
+                        "instance, if model X covers a gene A between nucleotide positions 0 and 100, and then again between "
+                        "nucleotide positions 105 and 200, one would like to merge those two hits into a single one before "
+                        "calculating the approximate coverage of the gene by the model). If you set this parameter to any distance, "
+                        "anvi'o will first merge independent hits for the same gene/model that are closer to each other than that "
+                        "distance.")
 
     args, unknown = parser.parse_known_args()
 
diff --git a/sandbox/anvi-script-gen-function-matrix-across-genomes b/sandbox/anvi-script-gen-function-matrix-across-genomes
new file mode 100755
index 0000000000..c4df08ddb6
--- /dev/null
+++ b/sandbox/anvi-script-gen-function-matrix-across-genomes
@@ -0,0 +1,97 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+"""A program that uses AggregateFunctions class to generate human-readable output for functions across genomes."""
+
+import os
+import sys
+
+import anvio
+import anvio.terminal as terminal
+import anvio.filesnpaths as filesnpaths
+
+from anvio.argparse import ArgumentParser
+from anvio.genomedescriptions import AggregateFunctions
+from anvio.errors import ConfigError, FilesNPathsError, DictIOError
+
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
+__credits__ = []
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__authors__ = ['meren']
+__requires__ = ['functions', 'genomes-storage-db', 'internal-genomes', 'external-genomes', 'groups-txt']
+__provides__ = ['functional-enrichment-txt', 'functions-across-genomes-txt']
+__description__ = "A program to generate reports for the distribution of functions across genomes"
+
+
+run = terminal.Run()
+progress = terminal.Progress()
+
+
+def main(args):
+    # just a quick check before passing everything to AggregateFunctions:
+    output_directory_for_output_files = os.path.dirname(os.path.abspath(args.output_file_prefix))
+    filesnpaths.is_output_dir_writable(output_directory_for_output_files)
+
+    if args.groups_txt:
+        output_file_path_for_functional_enrichment = f"{os.path.abspath(args.output_file_prefix)}-FUNCTIONAL-ENRICHMENT.txt"
+        args.output_file = output_file_path_for_functional_enrichment
+
+    facc = AggregateFunctions(args, r=run, p=progress)
+    facc.report_functions_across_genomes(args.output_file_prefix)
+
+
+if __name__ == '__main__':
+    # setup the command line user interface
+    parser = ArgumentParser(description=__description__)
+
+    groupA = parser.add_argument_group('GENOMES', "Tell anvi'o where your genomes are.")
+    groupA.add_argument(*anvio.A('internal-genomes'), **anvio.K('internal-genomes'))
+    groupA.add_argument(*anvio.A('external-genomes'), **anvio.K('external-genomes'))
+    groupA.add_argument(*anvio.A('genomes-storage'), **anvio.K('genomes-storage'))
+
+    groupB = parser.add_argument_group('GROUPS', "If you want, you can also tell anvi'o how to group your genomes "
+                                "so it can also compute functional enrichment between them.")
+    groupB.add_argument(*anvio.A('groups-txt'), **anvio.K('groups-txt'))
+    groupB.add_argument('--print-genome-names-and-quit', default=False, action='store_true', help="Sometimes, "
+                                "especially when you are interested in creating a groups file for your genomes you "
+                                "gather from multiple different sources, it may be difficult to know every single "
+                                "genome name that will go into your analysis. If you declare this flag, after "
+                                "initializing everything, anvi'o will print out every genome name it found and quit, "
+                                "so you can actually put together a groups file for them.")
+
+    groupC = parser.add_argument_group('FUNCTIONS', "Tell anvi'o which functional annotation source you like above all, and other "
+                                "important details you like about your analysis.")
+    groupC.add_argument(*anvio.A('annotation-source'), **anvio.K('annotation-source', {'required': True}))
+    groupC.add_argument(*anvio.A('aggregate-based-on-accession'), **anvio.K('aggregate-based-on-accession'))
+    groupC.add_argument(*anvio.A('aggregate-using-all-hits'), **anvio.K('aggregate-using-all-hits'))
+    groupC.add_argument('--min-occurrence', metavar="NUM GENOMES", default=1, help=("The minimum number of occurrence of any "
+                                "given function accross genomes. If you set a value, those functions that occur in less number "
+                                "of genomes will be excluded."), type=int)
+
+    groupE = parser.add_argument_group('GENES', "By default, anvi'o will look for genes in contigs databases that are identified "
+                                "by `prodigal`. But if you have generated your contigs databse with external gene calls, or have "
+                                "otherwise used another gene caller than the default, you can explicitly ask anvi'o to use that "
+                                "one to recover your genes.")
+    groupE.add_argument(*anvio.A('gene-caller'), **anvio.K('gene-caller'))
+
+    groupF = parser.add_argument_group('OUTPUT', "Provide a 'prefix' for anvi'o to add to the beginning of the output files anvi'o "
+                                "will generate for you.")
+    groupF.add_argument(*anvio.A('output-file-prefix'), **anvio.K('output-file-prefix', {'required': True}))
+
+
+
+    args = parser.get_args(parser)
+
+    try:
+        main(args)
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
+    except FilesNPathsError as e:
+        print(e)
+        sys.exit(-2)
+    except DictIOError as e:
+        print(e)
+        sys.exit(-3)
diff --git a/sandbox/anvi-script-gen-functions-per-group-stats-output b/sandbox/anvi-script-gen-functions-per-group-stats-output
index bfc938e521..8046174a7b 100755
--- a/sandbox/anvi-script-gen-functions-per-group-stats-output
+++ b/sandbox/anvi-script-gen-functions-per-group-stats-output
@@ -6,7 +6,6 @@ import sys
 from anvio.argparse import ArgumentParser
 
 import anvio
-import anvio.utils as utils
 import anvio.terminal as terminal
 
 from anvio.errors import ConfigError, FilesNPathsError
diff --git a/sandbox/anvi-script-gen-hmm-hits-matrix-across-genomes b/sandbox/anvi-script-gen-hmm-hits-matrix-across-genomes
index ce67c4c6ba..bf1033a30d 100755
--- a/sandbox/anvi-script-gen-hmm-hits-matrix-across-genomes
+++ b/sandbox/anvi-script-gen-hmm-hits-matrix-across-genomes
@@ -19,7 +19,7 @@ __license__ = "GPL 3.0"
 __version__ = anvio.__version__
 __authors__ = ['meren']
 __requires__ = ["external-genomes", "internal-genomes", "hmm-source", "hmm-hits"]
-__provides__ = ["hmm-hits-matrix-txt"]
+__provides__ = ["hmm-hits-across-genomes-txt"]
 __description__ = ("A simple script to generate a TAB-delimited file that reports the frequency "
                    "of HMM hits for a given HMM source across contigs databases")
 
diff --git a/sandbox/anvi-script-gen-user-module-file b/sandbox/anvi-script-gen-user-module-file
new file mode 100755
index 0000000000..8d35614254
--- /dev/null
+++ b/sandbox/anvi-script-gen-user-module-file
@@ -0,0 +1,157 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+"""
+This script converts a file with a list of KOs (one KO per line) into a modules file. The file should be tab-delimited and
+contain 3 columns: the KO identifier, the orthology, and the annotation source. If annotation source is KOfam, the orthology
+field can be left blank because the script can look it up.
+
+Users can pass the ENTRY, NAME, DEFINITION, and CLASS lines as parameters.
+"""
+
+import sys
+import os
+
+import anvio
+import anvio.utils as utils
+import anvio.kegg as kegg
+import anvio.terminal as terminal
+
+from anvio.argparse import ArgumentParser
+from anvio.errors import ConfigError, FilesNPathsError
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
+__credits__ = []
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__authors__ = ['ivagljiva']
+__provides__ = ["user-modules-data"]
+__requires__ = ["enzymes-list-for-module"]
+__description__ = ("This script generates a user-defined module file from a tab-delimited file of enzymes and other input parameters.")
+
+run = terminal.Run()
+progress = terminal.Progress()
+
+def main(args):
+    A = lambda x: args.__dict__[x] if x in args.__dict__ else None
+    enzyme_txt_path = A('enzymes_list_for_module')
+    entry = A('module_entry')
+    name = A('module_name')
+    class_str = A('module_class')
+    def_str =  A('module_definition')
+    kegg_dir_path = A('kegg_data_dir') or os.path.join(os.path.dirname(anvio.__file__), 'data/misc/KEGG')
+
+    # LOADING DATA AND SANITY CHECKS
+    # sanity check entry is just one word
+    if len(entry.split(' ')) > 1:
+        raise ConfigError("You did not provide a valid ENTRY ID. It should be just one word.")
+    # sanity check module file does not yet exist
+    if os.path.exists("./" + entry):
+        raise ConfigError(f"A module file for {entry} already exists in this directory. Please delete that file first if you want to re-generate it.")
+    # sanity check class format
+    if len(class_str.split(";")) != 3:
+        raise ConfigError("You did not provide a valid CLASS string. It should be three sections separated by semi-colons.")
+
+    # load enzymes txt
+    enzyme_dict = utils.get_TAB_delimited_file_as_dictionary(enzyme_txt_path, expected_fields=['enzyme','source','orthology'])
+
+    if def_str:
+        #sanity check all enzymes from definition are in file
+        enzyme_set = set(kegg.module_definition_to_enzyme_accessions(def_str))
+        dict_set = set(enzyme_dict.keys())
+        missing_enzymes = enzyme_set.difference(dict_set)
+        if missing_enzymes:
+            missing_str = ", ".join(missing_enzymes)
+            raise ConfigError(f"Oh no... anvi'o found a discrepancy between the enzymes-txt and the module definition you provided. "
+                              f"All enzymes in the definition should be in the text file. Here are the one(s) that are not: {missing_str}")
+    else:   # we create definition from enzymes in file
+        def_str = " ".join(enzyme_dict.keys())
+
+    # if any orthology line is blank, access db
+    enzyme_has_blank_orthology = [x for x in enzyme_dict if not enzyme_dict[x]['orthology']]
+    if enzyme_has_blank_orthology:
+        annotations_sources_for_blank_orthology = set([enzyme_dict[x]['source'] for x in enzyme_has_blank_orthology])
+        acceptable_sources = set(['KOfam'])
+        unacceptable_sources = annotations_sources_for_blank_orthology.difference(acceptable_sources)
+        if unacceptable_sources:
+            ok_str = ", ".join(acceptable_sources)
+            bad_str = ", ".join(unacceptable_sources)
+            raise ConfigError(f"Some enzymes in your input file have an empty orthology field, but are not from an annotation source "
+                              f"that we can automatically fill in. Currently, we are only able to look up orthology for enzymes from "
+                              f"source(s): {ok_str}. But the enzymes with blank orthology are coming from source(s): {bad_str}")
+
+        ko_file_path = os.path.join(kegg_dir_path, "ko_list.txt")
+        if not os.path.exists(ko_file_path):
+            raise ConfigError(f"There does not appear to be a KO file in the KEGG data directory that you provided. This is "
+                              f"unfortunately an essential file for filling in orthology lines for KOfam enzymes, so anvi'o has "
+                              f"to fail now. You can fix this by either passing in a proper KEGG data directory, or filling in the "
+                              f"empty 'orthology' fields in the enzymes-txt file yourself. (Just a reminder, we were looking for the "
+                              f"KO file at this path: {ko_file_path})")
+        ko_dict = utils.get_TAB_delimited_file_as_dictionary(ko_file_path, expected_fields = ['definition'])
+
+    # WRITE MODULE FILE
+    orthology_lines = []
+    source_lines = []
+    for acc,d in enzyme_dict.items():
+        # first line gets the data name
+        if len(orthology_lines) == 0:
+            o_line_prefix = "ORTHOLOGY   "
+            a_line_prefix = "ANNOTATION_SOURCE  "
+        else:
+            o_line_prefix = a_line_prefix = "            "
+            a_line_prefix = "                   "
+
+        if acc in enzyme_has_blank_orthology:
+            ortho = ko_dict[acc]['definition']
+        else:
+            ortho = d['orthology']
+        src = d['source']
+
+        orthology_lines.append(o_line_prefix + acc + "  " + ortho)
+        source_lines.append(a_line_prefix + acc + "  " + src)
+
+
+    all_lines = [f"ENTRY       {entry}",
+              f"NAME        {name}",
+              f"DEFINITION  {def_str}"] + \
+              orthology_lines + \
+             [f"CLASS       {class_str}"] + \
+              source_lines + \
+             ['///' + '\n']
+
+    with open(entry, 'w') as f:
+        f.write("\n".join(all_lines))
+
+
+if __name__ == '__main__':
+    parser = ArgumentParser(description=__description__)
+
+    groupR = parser.add_argument_group('REQUIRED INPUT', "Everything you NEED to make a module definition.")
+    groupR.add_argument(*anvio.A('enzymes-list-for-module'), **anvio.K('enzymes-list-for-module', {'required': True,}))
+    groupR.add_argument(*anvio.A('module-entry'), **anvio.K('module-entry'))
+    groupR.add_argument(*anvio.A('module-name'), **anvio.K('module-name'))
+    groupR.add_argument(*anvio.A('module-class'), **anvio.K('module-class'))
+
+    groupD = parser.add_argument_group('OPTIONAL - MODULE DEFINITION', "If you don't pass a module definition, anvi'o will "
+                                                                       "make each enzyme in the enzymes-list-for-module file "
+                                                                       "a distinct step in the module. Useful if you are not "
+                                                                       "defining a metabolic pathway, but rather a "
+                                                                       "characteristic set of genes (ie, transporters, "
+                                                                       "tRNA modification enzymes, etc).")
+    groupD.add_argument(*anvio.A('module-definition'), **anvio.K('module-definition'))
+
+    groupK = parser.add_argument_group('OPTIONAL - KEGG DATA', "If you want anvi'o to fill in the ORTHOLOGY of "
+                                                               "enzymes from source 'KOfam', you might need to "
+                                                               "tell her where to find any non-default KEGG data. ")
+    groupK.add_argument(*anvio.A('kegg-data-dir'), **anvio.K('kegg-data-dir'))
+
+    args = parser.get_args(parser)
+
+    try:
+        main(args)
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
+    except FilesNPathsError as e:
+        print(e)
+        sys.exit(-2)
diff --git a/sandbox/anvi-script-gen_stats_for_single_copy_genes.py b/sandbox/anvi-script-gen_stats_for_single_copy_genes.py
index 6365df8b93..5972adf512 100755
--- a/sandbox/anvi-script-gen_stats_for_single_copy_genes.py
+++ b/sandbox/anvi-script-gen_stats_for_single_copy_genes.py
@@ -12,11 +12,6 @@
 Please read the COPYING file.
 """
 
-__requires__ = ["contigs-db"]
-__provides__ = ["genes-stats"]
-__authors__ = ['meren']
-__description__ = "A simple script to generate info from search tables, given a contigs-db"
-
 import sys
 from anvio.argparse import ArgumentParser
 
@@ -24,6 +19,10 @@
 import anvio.dbops as dbops
 import anvio.terminal as terminal
 
+__description__ = "A simple script to generate info from search tables, given a contigs-db"
+__requires__ = ["contigs-db"]
+__provides__ = ["genes-stats"]
+__authors__ = ['meren']
 
 run = terminal.Run()
 progress = terminal.Progress()
diff --git a/sandbox/anvi-script-get-primer-matches b/sandbox/anvi-script-get-primer-matches
deleted file mode 100755
index 910ec48a0c..0000000000
--- a/sandbox/anvi-script-get-primer-matches
+++ /dev/null
@@ -1,248 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8
-
-import os
-import sys
-
-import anvio
-import anvio.utils as utils
-import anvio.terminal as terminal
-import anvio.filesnpaths as filesnpaths
-
-import IlluminaUtils.lib.fastqlib as u
-
-from anvio.errors import ConfigError, FilesNPathsError
-
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2019, the Meren Lab (http://merenlab.org/)"
-__credits__ = []
-__license__ = "GPL 3.0"
-__version__ = anvio.__version__
-__authors__ = ['meren']
-__provides__ = ["short-reads-fasta"]
-__requires__ = ["samples-txt"]
-__description__ = ("You provide this program with FASTQ files for one or more samples AND one or more short sequences, "
-                   "and it collects reads from FASTQ files that matches to your sequences. This tool can be "
-                   "most powerful if you want to collect all short reads from one or more metagenomes that are "
-                   "downstream to a known sequence. Using the comprehensive output files you can analyze the "
-                   "diversity of seuqences visually, manually, or using established strategies such as oligotyping.")
-
-
-run = terminal.Run()
-progress = terminal.Progress()
-pp = terminal.pretty_print
-P = terminal.pluralize
-
-
-def main(args):
-    A = lambda x: args.__dict__[x] if x in args.__dict__ else None
-    samples_txt = A('samples_txt')
-    primers_file_path = A('primer_sequences')
-    output_directory_path = A('output_dir') or os.path.abspath('./MATCHING_SEQUENCES')
-    min_remainder_length = A('min_remainder_length') or 60
-    report_raw = A('report_raw')
-    stop_after = A('stop_after')
-
-    filesnpaths.check_output_directory(output_directory_path)
-
-    filesnpaths.is_file_tab_delimited(samples_txt)
-    filesnpaths.is_file_plain_text(primers_file_path)
-
-    samples_dict = utils.get_samples_txt_file_as_dict(samples_txt, run=run)
-    primers = [s.strip().upper() for s in open(primers_file_path).readlines() if s[0] != '#']
-
-    run.info("Samples found", f"({len(samples_dict)}) {' '.join(samples_dict.keys())}")
-    run.info("Match sequences found", f"({len(primers)}) {' '.join(primers)}")
-    run.info('Min remainder length', min_remainder_length)
-    run.info('Output directory', output_directory_path)
-    run.info('Report raw', report_raw)
-    if stop_after:
-        run.info('Stop after', stop_after, mc='red')
-
-    filesnpaths.gen_output_directory(output_directory_path)
-
-    for sample_name in samples_dict:
-        samples_dict[sample_name]['hits'] = {}
-
-    primers_dict = {}
-    for m in primers:
-        primers_dict[m] = {'matching_sequences': {},
-                           'primer_length': len(m),
-                           'primer_sequence': m,
-                           'primer_sequence_rc': utils.rev_comp(m)}
-
-        for sample_name in samples_dict:
-            samples_dict[sample_name]['hits'][m] = 0
-            primers_dict[m]['matching_sequences'][sample_name] = []
-
-
-    total_read_counter = 0
-    total_hit_counter = 0
-    progress.new("Tick tock")
-    progress.update('...')
-    sample_names = sorted(list(samples_dict.keys()))
-    for i in range(0, len(sample_names)):
-        sample_name = sample_names[i]
-
-        read_counter = 0
-        hit_counter = 0
-        hit_in_rc = 0
-        for pair in ['r1', 'r2']:
-            input_fastq_file_path = samples_dict[sample_name][pair]
-            input_fastq = u.FastQSource(input_fastq_file_path, compressed=input_fastq_file_path.endswith('.gz'))
-
-            while input_fastq.next(raw=True) and (hit_counter < stop_after if stop_after else True):
-                read_counter += 1
-
-                if read_counter % 10000 == 0:
-                    progress.update(f"{sample_name} ({i + 1} of {len(samples_dict)}) / {pair} / Reads: {pp(read_counter)} / Hits: {pp(hit_counter)} (in RC: {pp(hit_in_rc)})")
-
-                found_in_RC = False
-
-                for v in primers_dict.values():
-                    seq = input_fastq.entry.sequence
-                    pos = seq.find(v['primer_sequence'])
-
-                    if pos < 0:
-                        # it not in it. how about the the reverse complement of it?
-                        if seq.find(v['primer_sequence_rc']) >= 0:
-                            # aha. the reverse complement sequence that carries our match found.
-                            # now we will reverse complement the long sequence and update the pos
-                            # and will continue as if nothing happened
-                            found_in_RC = True
-                            hit_in_rc += 1
-                            seq = utils.rev_comp(seq)
-                            pos = seq.find(v['primer_sequence'])
-
-                    if pos < 0:
-                        continue
-
-                    if len(seq[pos + v['primer_length']:]) < min_remainder_length:
-                        continue
-
-                    v['matching_sequences'][sample_name].append((pos, seq), )
-
-                    hit_counter += 1
-
-                    samples_dict[sample_name]['hits'][v['primer_sequence']] += 1
-
-                    if anvio.DEBUG:
-                        progress.end()
-                        print("\n%s -- %s| %s [%s] %s" % (sample_name, 'RC ' if found_in_RC else '   ', seq[:pos], v['primer_sequence'], seq[pos+v['primer_length']:]))
-                        progress.new("Tick tock")
-                        progress.update(f"{sample_name} ({i + 1} of {len(samples_dict)}) / {pair} / Reads: {pp(read_counter)} / Hits: {pp(hit_counter)} (in RC: {pp(hit_in_rc)})")
-
-
-        samples_dict[sample_name]['num_reads'] = read_counter
-
-        total_read_counter += read_counter
-        total_hit_counter += hit_counter
-
-
-    progress.end()
-
-    run.warning(None, header="HITS PER SAMPLE", lc='yellow')
-    run.info('Summary', "", nl_after=1)
-    run.info_single(f"After processing {pp(total_read_counter)} reads in {P('sample', len(samples_dict))}, anvi'o found "
-                    f"{P('hit', total_hit_counter)} for your {P('sequence', len(primers_dict), pfs='only')} "
-                    f"in the primer sequences file. What is shown below breaks these numbers down per sample because that's how "
-                    f"anvi'o rolls (SAM: Shortest sequence after match; LAM: Longest sequence after match; ALAM: Average length after match).", nl_after=1)
-
-    for sample_name in samples_dict:
-        run.info(f"{sample_name}", f"{pp(samples_dict[sample_name]['num_reads'])} total reads", nl_before=1, lc="green", mc="green")
-        for primer_sequence in primers_dict:
-            matching_sequence_hits = primers_dict[primer_sequence]['matching_sequences'][sample_name]
-            primer_length = primers_dict[primer_sequence]['primer_length']
-            seq_lengths_after_match = [len(s[1][s[0]+primer_length:]) for s in matching_sequence_hits]
-
-            if len(seq_lengths_after_match):
-                run.info(f"    {primer_sequence}", f"{pp(samples_dict[sample_name]['hits'][primer_sequence])} hits / SAM: {min(seq_lengths_after_match)} / LAM: {max(seq_lengths_after_match)} / ALAM: {sum(seq_lengths_after_match) / len(primers_dict[primer_sequence]['matching_sequences']):.2f}")
-            else:
-                run.info(f"    {primer_sequence}", f"{pp(samples_dict[sample_name]['hits'][primer_sequence])} hits / SAM: -- / LAM: -- / ALAM: --")
-
-    if not total_read_counter:
-        run.info_single('No hits were found :/', mc='red', nl_before=1)
-        sys.exit()
-
-    progress.new("Generating the raw hits files")
-    progress.update('...')
-    for sample_name in samples_dict:
-        for primer_sequence in primers_dict:
-            matching_sequence_hits = primers_dict[primer_sequence]['matching_sequences'][sample_name]
-
-            output_file_path = os.path.join(output_directory_path, '%s-%s-HITS.fa' % (sample_name, primer_sequence))
-            with open(output_file_path, 'w') as output:
-                counter = 1
-                for hit in matching_sequence_hits:
-                    output.write(f'>{sample_name}_{primer_sequence}_{counter:05d}\n{hit[1]}\n')
-                    counter += 1
-    progress.end()
-
-    if report_raw:
-        run.info_single(f"Output files for raw sequences are ready in {output_directory_path}")
-        sys.exit()
-
-    progress.new("Generating the fancy hits files")
-    progress.update('...')
-    for sample_name in samples_dict:
-        for primer_sequence in primers_dict:
-            trimmed_output_file_path = os.path.join(output_directory_path, '%s-%s-HITS-TRIMMED.fa' % (sample_name, primer_sequence))
-            gapped_output_file_path = os.path.join(output_directory_path, '%s-%s-HITS-WITH-GAPS.fa' % (sample_name, primer_sequence))
-
-            matching_sequence_hits = primers_dict[primer_sequence]['matching_sequences'][sample_name]
-            primer_length = primers_dict[primer_sequence]['primer_length']
-            seq_lengths_after_match = [len(s[1][s[0]+primer_length:]) for s in matching_sequence_hits]
-
-            with open(trimmed_output_file_path, 'w') as trimmed, open(gapped_output_file_path, 'w') as gapped:
-                max_seq_length = (max(seq_lengths_after_match) + primer_length) if len(seq_lengths_after_match) else 0
-                min_seq_length = (min(seq_lengths_after_match) + primer_length) if len(seq_lengths_after_match) else 0
-                counter = 1
-                for hit in matching_sequence_hits:
-                    sequence = hit[1][hit[0]:]
-
-                    sequence = sequence + '-' * (max_seq_length - len(sequence))
-                    gapped.write(f'>{sample_name}_{primer_sequence}_{counter:05d}\n{sequence}\n')
-
-                    sequence = sequence[:min_seq_length]
-                    trimmed.write(f'>{sample_name}_{primer_sequence}_{counter:05d}\n{sequence}\n')
-
-                    counter += 1
-    progress.end()
-
-    run.info_single(f"All output files are ready in {output_directory_path}", nl_before=1, nl_after=1)
-
-
-if __name__ == '__main__':
-    from anvio.argparse import ArgumentParser
-    parser = ArgumentParser(description=__description__)
-
-    groupA = parser.add_argument_group('INPUT FILES', "Here you are expected to declare your FASTQ files and sequences "
-                            "which you are interested to find in those FASTQ files. Each file should have at least one "
-                            "entry")
-    groupA.add_argument(*anvio.A('samples-txt'), **anvio.K('samples-txt'))
-    groupA.add_argument('--primer-sequences', required=True, metavar='FILE', help="A single-column file that contains one "
-                            "or more short sequences to be searhed.")
-
-    groupB = parser.add_argument_group('PARAMETERS OF LIFE AND DEATH', "Here you are expected to set appropriate "
-                            "paramters for your search (or you can choose to go with the defaults)")
-    groupB.add_argument('-m', '--min-remainder-length', metavar='INT', type=int, default=60,
-                        help="Minimum length of the remainder of the read after a match. If your short read "
-                              "is XXXMMMMMMYYYYYYYYYYYYYY, where Ms indicate the primer sequence, "
-                              "min remainder length is equal to the length of nucleotide matching Y. Default is %(default)d.")
-    groupB.add_argument('--report-raw', action="store_true", help="Just report them sequences. Don't bother trimming.")
-    groupB.add_argument('--stop-after', metavar='INT', type=int, default=0, help="Stop after X number of hits because "
-                               "who needs data.")
-
-    groupC = parser.add_argument_group('OUTPUT', "Tell anvi'o where to put your thingies")
-    groupC.add_argument(*anvio.A('output-dir'), **anvio.K('output-dir'))
-
-    args = parser.get_args(parser)
-
-    try:
-        main(args)
-    except ConfigError as e:
-        print(e)
-        sys.exit(-1)
-    except FilesNPathsError as e:
-        print(e)
-        sys.exit(-2)
diff --git a/sandbox/anvi-script-merge-collections b/sandbox/anvi-script-merge-collections
index 1222a6db1c..2b444f3e92 100755
--- a/sandbox/anvi-script-merge-collections
+++ b/sandbox/anvi-script-merge-collections
@@ -8,7 +8,6 @@ import sys
 
 import anvio
 import anvio.utils as u
-import anvio.dbops as dbops
 import anvio.terminal as terminal
 from anvio.errors import ConfigError
 
@@ -47,8 +46,7 @@ def main(args):
 
     sources = sorted(input_dicts.keys())
 
-    contigs_db = dbops.ContigsSuperclass(args)
-    contig_name_to_splits = u.get_contig_name_to_splits_dict(contigs_db.splits_basic_info, contigs_db.contigs_basic_info)
+    contig_name_to_splits = u.get_contig_name_to_splits_dict(args.contigs_db)
 
     combined_dict = {}
     for contig_name in contig_names:
diff --git a/sandbox/anvi-script-pfam-accessions-to-hmms-directory b/sandbox/anvi-script-pfam-accessions-to-hmms-directory
index ceb6dbee14..147523442f 100755
--- a/sandbox/anvi-script-pfam-accessions-to-hmms-directory
+++ b/sandbox/anvi-script-pfam-accessions-to-hmms-directory
@@ -101,7 +101,7 @@ def main(args):
                 pfam_accession_ids.remove(accession)
         else:
             raise ConfigError("Anvi'o couldn't downlaod any of your accession ids. This could be due to bad "
-                              "accession ids that don't exist on PFAM database, or bad internet connectoin "
+                              "accession ids that don't exist on PFAM database, or bad internet connection "
                               "on either side :/")
 
     # make sure all models have the GA cutoff defined
diff --git a/sandbox/anvi-script-reformat-fasta b/sandbox/anvi-script-reformat-fasta
index 2210c02dd4..6875cad4d6 100755
--- a/sandbox/anvi-script-reformat-fasta
+++ b/sandbox/anvi-script-reformat-fasta
@@ -57,7 +57,7 @@ def reformat_FASTA(args):
 
     if args.keep_ids:
         filesnpaths.is_file_exists(args.keep_ids)
-        keep_ids = set([l.split('\t')[0].strip() for l in open(args.keep_ids, 'rU').readlines()])
+        keep_ids = set([l.split('\t')[0].strip() for l in open(args.keep_ids, 'r').readlines()])
         run.info('Input IDs to consider', '%d found' % len(keep_ids))
     else:
         keep_ids = set([])

From c7bf3a28f3e8eee45e2a7e02b2f33d6b5236f54b Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sat, 20 Nov 2021 12:40:20 -0600
Subject: [PATCH 0759/1020] populate `self.inversions`

---
 anvio/inversions.py | 20 ++++++++++++++++++++
 1 file changed, 20 insertions(+)

diff --git a/anvio/inversions.py b/anvio/inversions.py
index 06d81ff2cf..ca1844a121 100644
--- a/anvio/inversions.py
+++ b/anvio/inversions.py
@@ -450,6 +450,26 @@ def process_db(self, entry_name, profile_db_path, bam_file_path):
 
                         self.inversions[entry_name].append(d)
 
+                    d = OrderedDict({'entry_id': true_inversion.sequence_name,
+                                     'sample_name': entry_name,
+                                     'contig_name': contig_name,
+                                     'first_seq': true_inversion.first_sequence,
+                                     'midline': true_inversion.midline,
+                                     'second_seq': utils.rev_comp(true_inversion.second_sequence),
+                                     'first_start': true_inversion.first_start + start,
+                                     'first_end': true_inversion.first_end + start,
+                                     'second_start': true_inversion.second_start + start,
+                                     'second_end': true_inversion.second_end + start,
+                                     'num_mismatches': true_inversion.num_mismatches,
+                                     'num_gaps': true_inversion.num_gaps,
+                                     'length': true_inversion.length,
+                                     'distance': true_inversion.distance})
+
+                    if contig_name not in self.inversions[entry_name]:
+                        self.inversions[entry_name][contig_name] = {}
+
+                    self.inversions[entry_name][contig_name][start] = d
+
         self.progress.end()
 
         self.run.info(f"[Inversions found] In sample {entry_name}", f"{len(self.inversions[entry_name])}", lc="yellow")

From 8a4864782cf35ce931c17365c29426b8fdb1228b Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Sat, 20 Nov 2021 12:40:40 -0600
Subject: [PATCH 0760/1020] reporting inversions per sample


From 248d648507df530d01a35bb44aaed8027065dc69 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 31 Jul 2022 23:15:19 -0700
Subject: [PATCH 0761/1020] issue template

---
 .../bug-report---technical-problem.md         | 34 -------------------
 .github/ISSUE_TEMPLATE/bug-report.md          | 34 +++++++++++++++++++
 .../ISSUE_TEMPLATE/feature-request---idea.md  | 20 -----------
 .github/ISSUE_TEMPLATE/feature-request.md     | 20 +++++++++++
 .github/ISSUE_TEMPLATE/start-a-discussion.md  |  4 +--
 5 files changed, 56 insertions(+), 56 deletions(-)
 delete mode 100644 .github/ISSUE_TEMPLATE/bug-report---technical-problem.md
 create mode 100644 .github/ISSUE_TEMPLATE/bug-report.md
 delete mode 100644 .github/ISSUE_TEMPLATE/feature-request---idea.md
 create mode 100644 .github/ISSUE_TEMPLATE/feature-request.md

diff --git a/.github/ISSUE_TEMPLATE/bug-report---technical-problem.md b/.github/ISSUE_TEMPLATE/bug-report---technical-problem.md
deleted file mode 100644
index 802afdf09f..0000000000
--- a/.github/ISSUE_TEMPLATE/bug-report---technical-problem.md
+++ /dev/null
@@ -1,34 +0,0 @@
----
-name: Bug Report / Technical Problem
-about: Create a report to help us improve
-title: "[BUG] Replace this text with a short but descriptive title"
-labels: ''
-assignees: ''
-
----
-
-## Short description of the problem
-
-Replace this text with a single-sentence description of the problem.
-
-## anvi'o version
-
-Replace this text with the output of this command:
-
-```
-anvi-self-test --version
-```
-
-## System info
-
-Please tell us which operating system you are using, and how did you install anvi'o.
-
-## Detailed description of the issue
-
-Replace this text with a clear description of what you expected to happen. Feel free to include screenshots :)
-
-## Files to reproduce
-
-If you have no files you can share with us to reproduce the issue, please remove this text and header completely.
-
-If you have files (i.e., a contigs database, a profile database, a BAM file, etc), please put them in a single directory, compress the directory, upload it to Dropbox and share with us a download link here along with instructions on how to reproduce the error.
diff --git a/.github/ISSUE_TEMPLATE/bug-report.md b/.github/ISSUE_TEMPLATE/bug-report.md
new file mode 100644
index 0000000000..244587f200
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/bug-report.md
@@ -0,0 +1,34 @@
+---
+name: Bug Report
+about: Report a bug or technical problem.
+title: "[BUG] Replace this text with a short but descriptive title"
+labels: ''
+assignees: ''
+
+---
+
+## Short description of the problem
+
+Replace this text with a single-sentence description of the problem.
+
+## anvi'o version
+
+Replace this text with the output of this command:
+
+```
+anvi-self-test --version
+```
+
+## System info
+
+Please tell us which operating system you are using, and how did you install anvi'o.
+
+## Detailed description of the issue
+
+Replace this text with a clear description of what you expected to happen. Feel free to include screenshots :) If you don't think you need additional description of the problem and your short description is sufficient, please remove this section.
+
+## Files to reproduce
+
+If you have files that you can share with us to reproduce the issue (i.e., a contigs database, a profile database, a BAM file, etc), they may help us dramatically. Please put them in a single directory, compress the directory, upload it to Dropbox (or any other comparable service), and share with us a direct download link along with instructions on how to reproduce the error.
+
+If you don't have files to share, please remove thi section.
diff --git a/.github/ISSUE_TEMPLATE/feature-request---idea.md b/.github/ISSUE_TEMPLATE/feature-request---idea.md
deleted file mode 100644
index 1484f7ed6f..0000000000
--- a/.github/ISSUE_TEMPLATE/feature-request---idea.md
+++ /dev/null
@@ -1,20 +0,0 @@
----
-name: Feature Request / Idea
-about: Suggest an idea for anvi'o
-title: "[FEATURE] Replace this text with a concise description of the feature"
-labels: ''
-assignees: ''
-
----
-
-## The need
-
-Describe the need briefly.
-
-## The solution
-
-Describe the best solution to address this need.
-
-## Beneficiaries
-
-Speculate who would most benefit from this solution. Any anvi'o user? Anyone who uses a particular function?
diff --git a/.github/ISSUE_TEMPLATE/feature-request.md b/.github/ISSUE_TEMPLATE/feature-request.md
new file mode 100644
index 0000000000..e96b205f9d
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/feature-request.md
@@ -0,0 +1,20 @@
+---
+name: Feature Request
+about: Suggest something you wish anvi'o could do.
+title: "[FEATURE REQUEST] Replace this text with a concise description of the feature you propose"
+labels: ''
+assignees: ''
+
+---
+
+## The need
+
+Replace this text with the feature you wish to see in anvi'o.
+
+## The solution
+
+Describe the best solution to address this need. If you don't have any solution, please remove this section.
+
+## Beneficiaries
+
+Speculate who would most benefit from this solution. Any anvi'o user? Anyone who uses a particular function?
diff --git a/.github/ISSUE_TEMPLATE/start-a-discussion.md b/.github/ISSUE_TEMPLATE/start-a-discussion.md
index 9eebd68f27..cbae82b099 100644
--- a/.github/ISSUE_TEMPLATE/start-a-discussion.md
+++ b/.github/ISSUE_TEMPLATE/start-a-discussion.md
@@ -1,7 +1,7 @@
 ---
 name: Start a Discussion
-about: On anything microbial 'omics or anvi'o!
-title: ""
+about: Start a discussion on anything microbial 'omics or anvi'o.
+title: "[DISCUSSION] Replace this text with a short but descriptive title"
 labels: ''
 assignees: ''
 

From 65013f9906afca26d3b0b58a5b96c4349c69b26d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 1 Aug 2022 00:06:22 -0700
Subject: [PATCH 0762/1020] restore more files

---
 .gitignore                                    |    2 +-
 NEWS.md                                       |    2 +-
 anvio/argparse.py                             |   10 +-
 anvio/authors.py                              |    3 +-
 anvio/auxiliarydataops.py                     |   11 +-
 anvio/bamops.py                               |   41 +-
 anvio/clustering.py                           |   34 +-
 anvio/cogs.py                                 |    7 +-
 anvio/completeness.py                         |   42 +-
 anvio/constants.py                            |   23 +
 .../data/interactive/images/logo-inverted.png |  Bin 0 -> 127758 bytes
 anvio/data/mini-states/display-functions.json |    7 +
 .../data/misc/PEOPLE/AVATARS/AstrobioMike.jpg |  Bin 0 -> 31496 bytes
 .../misc/PEOPLE/AVATARS/FlorianTrigodet.jpg   |  Bin 0 -> 501574 bytes
 .../data/misc/PEOPLE/AVATARS/Jessica-Pan.png  |  Bin 0 -> 1494234 bytes
 .../data/misc/PEOPLE/AVATARS/ShaiberAlon.jpg  |  Bin 0 -> 342412 bytes
 anvio/data/misc/PEOPLE/AVATARS/adw96.jpg      |  Bin 0 -> 254993 bytes
 .../data/misc/PEOPLE/AVATARS/bio-antonio.png  |  Bin 0 -> 535663 bytes
 anvio/data/misc/PEOPLE/AVATARS/bio-antti.png  |  Bin 0 -> 778221 bytes
 anvio/data/misc/PEOPLE/AVATARS/bio-chiara.jpg |  Bin 0 -> 13558 bytes
 anvio/data/misc/PEOPLE/AVATARS/bio-daan.jpg   |  Bin 0 -> 154679 bytes
 anvio/data/misc/PEOPLE/AVATARS/bio-elaina.jpg |  Bin 0 -> 46175 bytes
 .../data/misc/PEOPLE/AVATARS/bio-jarrod_s.jpg |  Bin 0 -> 414305 bytes
 .../data/misc/PEOPLE/AVATARS/bio-jessika.jpg  |  Bin 0 -> 323674 bytes
 .../data/misc/PEOPLE/AVATARS/bio-simroux.jpg  |  Bin 0 -> 154363 bytes
 anvio/data/misc/PEOPLE/AVATARS/bio-tom.jpg    |  Bin 0 -> 468123 bytes
 anvio/data/misc/PEOPLE/AVATARS/bio-xabi.jpg   |  Bin 0 -> 160782 bytes
 anvio/data/misc/PEOPLE/AVATARS/efogarty11.jpg |  Bin 0 -> 407010 bytes
 anvio/data/misc/PEOPLE/AVATARS/ekiefl.jpg     |  Bin 0 -> 411085 bytes
 .../data/misc/PEOPLE/AVATARS/isaacfink21.png  |  Bin 0 -> 797335 bytes
 anvio/data/misc/PEOPLE/AVATARS/ivagljiva.jpg  |  Bin 0 -> 484500 bytes
 .../misc/PEOPLE/AVATARS/mahmoudyousef98.jpg   |  Bin 0 -> 367629 bytes
 .../PEOPLE/AVATARS/matthewlawrenceklein.jpg   |  Bin 0 -> 627259 bytes
 anvio/data/misc/PEOPLE/AVATARS/meren.jpg      |  Bin 0 -> 640904 bytes
 anvio/data/misc/PEOPLE/AVATARS/mooreryan.jpeg |  Bin 0 -> 20671 bytes
 anvio/data/misc/PEOPLE/AVATARS/mschecht.jpg   |  Bin 0 -> 481292 bytes
 anvio/data/misc/PEOPLE/AVATARS/no-avatar.png  |  Bin 0 -> 771761 bytes
 anvio/data/misc/PEOPLE/AVATARS/ozcan.jpg      |  Bin 0 -> 410758 bytes
 anvio/data/misc/PEOPLE/AVATARS/qclayssen.jpg  |  Bin 0 -> 430712 bytes
 anvio/data/misc/PEOPLE/AVATARS/semiller10.jpg |  Bin 0 -> 413292 bytes
 anvio/data/misc/PEOPLE/AVATARS/watsonar.jpg   |  Bin 0 -> 613413 bytes
 anvio/data/misc/PEOPLE/DEVELOPERS.yaml        |  359 ++++++
 anvio/data/static/template/artifact.tmpl      |    5 +-
 anvio/data/static/template/pan-index.tmpl     |   10 +-
 .../static/template/profile-index-mini.tmpl   |   10 +-
 anvio/data/static/template/profile-index.tmpl |   10 +-
 anvio/data/static/template/program.tmpl       |    5 +-
 .../programs_and_artifacts_index.tmpl         |   10 +-
 anvio/data/static/template/saavs-index.tmpl   |   10 +-
 anvio/db.py                                   |    6 +-
 anvio/docs/artifacts/bin.md                   |   23 +-
 anvio/docs/artifacts/collection-txt.md        |   14 +-
 anvio/docs/artifacts/collection.md            |   13 +-
 anvio/docs/artifacts/contigs-db.md            |    2 +-
 anvio/docs/artifacts/dna-sequence.md          |    3 +
 anvio/docs/artifacts/enzymes-txt.md           |   43 +
 anvio/docs/artifacts/external-genomes.md      |    8 -
 anvio/docs/artifacts/external-structures.md   |   19 +
 anvio/docs/artifacts/fasta.md                 |   21 +-
 .../artifacts/functional-enrichment-txt.md    |    8 +-
 anvio/docs/artifacts/groups-txt.md            |    2 +-
 anvio/docs/artifacts/internal-genomes.md      |    8 -
 anvio/docs/artifacts/kegg-metabolism.md       |   31 +-
 anvio/docs/artifacts/modifications-txt.md     |   24 +
 anvio/docs/artifacts/modules-db.md            |   43 +-
 anvio/docs/artifacts/palindromes-txt.md       |   42 +
 anvio/docs/artifacts/pan-db.md                |    2 +-
 anvio/docs/artifacts/primers-txt.md           |   18 +
 anvio/docs/artifacts/profile-db.md            |    6 +-
 .../docs/artifacts/seeds-non-specific-txt.md  |   22 +
 anvio/docs/artifacts/seeds-specific-txt.md    |   22 +
 anvio/docs/artifacts/trnaseq-contigs-db.md    |   15 +
 anvio/docs/artifacts/trnaseq-db.md            |   16 +-
 anvio/docs/artifacts/trnaseq-profile-db.md    |   19 +
 anvio/docs/artifacts/trnaseq-workflow.md      |   45 +
 anvio/docs/artifacts/user-metabolism.md       |   15 +
 .../png/anvi-get-tlen-dist-from-bam.png       |  Bin 0 -> 68914 bytes
 anvio/docs/images/png/icons/SEQUENCE.png      |  Bin 0 -> 48003 bytes
 anvio/docs/programs/anvi-analyze-synteny.md   |   23 +-
 .../anvi-compute-metabolic-enrichment.md      |    2 +-
 anvio/docs/programs/anvi-display-functions.md |    0
 anvio/docs/programs/anvi-display-structure.md |    0
 anvio/docs/programs/anvi-export-gene-calls.md |   50 +-
 .../programs/anvi-gen-structure-database.md   |   27 +-
 .../anvi-get-sequences-for-hmm-hits.md        |   50 +-
 .../programs/anvi-get-tlen-dist-from-bam.md   |   73 ++
 anvio/docs/programs/anvi-interactive.md       |    4 +-
 anvio/docs/programs/anvi-matrix-to-newick.md  |   16 +-
 anvio/docs/programs/anvi-merge-trnaseq.md     |   36 +
 anvio/docs/programs/anvi-plot-trnaseq.md      |    9 +
 anvio/docs/programs/anvi-run-hmms.md          |   12 +-
 .../docs/programs/anvi-script-as-markdown.md  |  122 ++
 .../anvi-script-fix-homopolymer-indels.md     |    4 +-
 .../programs/anvi-script-reformat-fasta.md    |   60 +-
 anvio/docs/programs/anvi-split.md             |   33 +-
 anvio/docs/programs/anvi-tabulate-trnaseq.md  |    9 +
 anvio/docs/programs/anvi-trnaseq.md           |   43 +-
 .../anvi-update-structure-database.md         |    3 +-
 anvio/drivers/MODELLER.py                     |    2 +-
 anvio/drivers/emapper.py                      |   11 +-
 anvio/drivers/hmmer.py                        |   14 +-
 anvio/drivers/mcl.py                          |   13 +-
 anvio/drivers/trnscan_se.py                   |    2 +-
 anvio/hmmops.py                               |   59 +
 anvio/merger.py                               |   21 +-
 anvio/migrations/contigs/v9_to_v10.py         |    7 +-
 anvio/migrations/modules/v1_to_v2.py          |    6 +-
 anvio/migrations/modules/v2_to_v3.py          |   59 +
 anvio/migrations/profile/v21_to_v22.py        |    7 +-
 anvio/migrations/profile/v37_to_v38.py        |   98 ++
 anvio/panops.py                               |   16 +
 anvio/programs.py                             |   94 +-
 anvio/sequence.py                             |    1 +
 anvio/splitter.py                             |   97 +-
 anvio/structureops.py                         |  390 ++++--
 anvio/summarizer.py                           |    6 +-
 anvio/summaryhtml.py                          |    7 +
 anvio/tables/trnahits.py                      |    2 +-
 anvio/taxonomyops/__init__.py                 |   63 +-
 anvio/taxonomyops/scg.py                      |   76 +-
 anvio/terminal.py                             |    8 +-
 ...omponent_tests_for_SCVs_SAAVs_structure.sh |  221 ++++
 anvio/tests/run_component_tests_for_SNVs.sh   |  222 ++++
 ...un_component_tests_for_alons_classifier.sh |   81 ++
 ...n_component_tests_for_display_functions.sh |   26 +
 .../run_component_tests_for_export_locus.sh   |   27 +
 ...un_component_tests_for_gene_level_stats.sh |   41 +
 anvio/tests/run_component_tests_for_indels.sh |   75 ++
 ..._component_tests_for_manual_interactive.sh |   47 +
 .../run_component_tests_for_metagenomics.sh   | 1054 +++++++++++++++++
 ...omponent_tests_for_minimal_metagenomics.sh |   83 ++
 .../run_component_tests_for_pangenomics.sh    |  201 ++++
 .../tests/run_component_tests_for_trnaseq.sh  |   50 +
 .../run_unit_tests_for_consensus_taxonomy.py  |  102 ++
 .../run_workflow_tests_for_all_workflows.sh   |    8 +
 anvio/tests/run_workflow_tests_for_contigs.sh |   33 +
 .../tests/run_workflow_tests_for_ecophylo.sh  |   87 ++
 .../run_workflow_tests_for_metagenomics.sh    |   56 +
 .../run_workflow_tests_for_metapangenomics.sh |   32 +
 .../run_workflow_tests_for_pangenomics.sh     |   46 +
 .../run_workflow_tests_for_phylogenomics.sh   |   30 +
 .../genomes/archaea/S_islandicus_LS215.db     |  Bin 4886528 -> 5361664 bytes
 .../bacteria/B_thetaiotamicron_VPI-5482.db    |  Bin 10481664 -> 11247616 bytes
 .../genomes/bacteria/P_marinus_CCMP1375.db    |  Bin 3227648 -> 3641344 bytes
 .../input_files/cov_det_enzymes_input.txt     |  473 ++++++++
 .../sandbox/data/input_files/hmm_list.txt     |    2 +
 .../data/input_files/hmm_list_external.txt    |    3 +
 .../input_files/minimal_enzymes_input.txt     |  473 ++++++++
 .../human_gut/IGD_SUBSET/CONTIGS.db           |  Bin 15015936 -> 16773120 bytes
 .../example_matrix_with_missing_data.txt      |    5 +
 .../files_for_indel_testing/large/contig.fa   |    2 +-
 .../00_README.md                              |    2 +-
 .../Ribosomal_L16_external_hmm/genes.hmm.gz   |  Bin 0 -> 14456 bytes
 .../Ribosomal_L16_external_hmm/genes.txt      |    2 +
 .../Ribosomal_L16_external_hmm/kind.txt       |    1 +
 .../noise_cutoff_terms.txt                    |    1 +
 .../Ribosomal_L16_external_hmm/reference.txt  |    1 +
 .../Ribosomal_L16_external_hmm/target.txt     |    1 +
 ...ampleB_thetaiotamicron_Ribosomal_L16.fasta |    2 +
 .../sample_IGD_SUBSET_Ribosomal_L16.fasta     |    2 +
 .../sample_P_marinus_Ribosomal_L16.fasta      |    2 +
 .../ecophylo/no-samples-txt-config.json       |    7 +-
 .../only-external-genomes-txt-config.json     |    9 +-
 .../ecophylo/only-metagenomes-txt-config.json |   11 +-
 .../sampleB_thetaiotamicron_Ribosomal_L16.ini |    9 +
 .../sample_IGD_SUBSET_Ribosomal_L16.ini       |   11 +
 .../sample_P_marinus_Ribosomal_L16.ini        |    9 +
 anvio/tests/unit/test_anvi_thread.py          |    3 +
 anvio/trnaidentifier.py                       |   30 +-
 anvio/variabilityops.py                       |    3 +
 .../rename_external_gene_calls_file.py        |   38 +
 .../subset_external_gene_calls_file.py        |   30 +
 anvio/workflows/metagenomics/__init__.py      |    3 +
 anvio/workflows/trnaseq/Snakefile             |   62 +-
 anvio/workflows/trnaseq/__init__.py           |   54 +-
 bin/anvi-compute-metabolic-enrichment         |    2 +-
 bin/anvi-delete-misc-data                     |    2 +-
 bin/anvi-display-functions                    |    6 +
 bin/anvi-estimate-metabolism                  |   22 +-
 bin/anvi-estimate-scg-taxonomy                |    1 +
 bin/anvi-estimate-trna-taxonomy               |    2 +-
 bin/anvi-experimental-organization            |    7 +-
 bin/anvi-export-gene-calls                    |   30 +-
 bin/anvi-export-misc-data                     |    2 +-
 bin/anvi-gen-structure-database               |   10 +-
 bin/anvi-get-sequences-for-hmm-hits           |    7 +-
 bin/anvi-get-split-coverages                  |    3 +-
 bin/anvi-get-tlen-dist-from-bam               |   76 ++
 bin/anvi-import-collection                    |   12 +-
 bin/anvi-import-misc-data                     |    2 +-
 bin/anvi-init-bam                             |    2 +-
 bin/anvi-interactive                          |    2 +-
 bin/anvi-merge                                |    2 +-
 bin/anvi-merge-trnaseq                        |   64 +
 bin/anvi-plot-trnaseq                         |   43 +
 bin/anvi-profile                              |   10 +-
 bin/anvi-profile-blitz                        |    6 -
 bin/anvi-run-hmms                             |    5 +-
 bin/anvi-setup-user-modules                   |   57 +
 bin/anvi-show-misc-data                       |    2 +-
 bin/anvi-split                                |    5 +-
 bin/anvi-tabulate-trnaseq                     |   47 +
 bin/anvi-trnaseq                              |    7 +-
 bin/anvi-update-structure-database            |    1 +
 sandbox/anvi-script-as-markdown               |   90 ++
 sandbox/anvi-script-compute-bayesian-pan-core |   21 +-
 sandbox/anvi-script-enrichment-stats          |  104 +-
 sandbox/anvi-script-fix-homopolymer-indels    |    2 +-
 sandbox/anvi-script-gen-genomes-file          |   22 +-
 sandbox/anvi-script-permute-trnaseq-seeds     |  190 +++
 ...i-script-pfam-accessions-to-hmms-directory |    2 +-
 sandbox/anvi-script-reformat-fasta            |  126 +-
 212 files changed, 6788 insertions(+), 705 deletions(-)
 create mode 100644 anvio/data/interactive/images/logo-inverted.png
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/AstrobioMike.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/FlorianTrigodet.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/Jessica-Pan.png
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/ShaiberAlon.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/adw96.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/bio-antonio.png
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/bio-antti.png
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/bio-chiara.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/bio-daan.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/bio-elaina.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/bio-jarrod_s.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/bio-jessika.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/bio-simroux.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/bio-tom.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/bio-xabi.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/efogarty11.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/ekiefl.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/isaacfink21.png
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/ivagljiva.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/mahmoudyousef98.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/matthewlawrenceklein.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/meren.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/mooreryan.jpeg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/mschecht.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/no-avatar.png
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/ozcan.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/qclayssen.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/semiller10.jpg
 create mode 100644 anvio/data/misc/PEOPLE/AVATARS/watsonar.jpg
 create mode 100644 anvio/data/misc/PEOPLE/DEVELOPERS.yaml
 create mode 100644 anvio/docs/artifacts/dna-sequence.md
 create mode 100644 anvio/docs/artifacts/enzymes-txt.md
 create mode 100644 anvio/docs/artifacts/external-structures.md
 create mode 100644 anvio/docs/artifacts/modifications-txt.md
 create mode 100644 anvio/docs/artifacts/palindromes-txt.md
 create mode 100644 anvio/docs/artifacts/primers-txt.md
 create mode 100644 anvio/docs/artifacts/seeds-non-specific-txt.md
 create mode 100644 anvio/docs/artifacts/seeds-specific-txt.md
 create mode 100644 anvio/docs/artifacts/trnaseq-contigs-db.md
 create mode 100644 anvio/docs/artifacts/trnaseq-profile-db.md
 create mode 100644 anvio/docs/artifacts/trnaseq-workflow.md
 create mode 100644 anvio/docs/artifacts/user-metabolism.md
 create mode 100644 anvio/docs/images/png/anvi-get-tlen-dist-from-bam.png
 create mode 100644 anvio/docs/images/png/icons/SEQUENCE.png
 mode change 100755 => 100644 anvio/docs/programs/anvi-display-functions.md
 mode change 100755 => 100644 anvio/docs/programs/anvi-display-structure.md
 create mode 100644 anvio/docs/programs/anvi-get-tlen-dist-from-bam.md
 create mode 100644 anvio/docs/programs/anvi-merge-trnaseq.md
 create mode 100644 anvio/docs/programs/anvi-plot-trnaseq.md
 create mode 100644 anvio/docs/programs/anvi-script-as-markdown.md
 create mode 100644 anvio/docs/programs/anvi-tabulate-trnaseq.md
 create mode 100644 anvio/migrations/modules/v2_to_v3.py
 create mode 100755 anvio/migrations/profile/v37_to_v38.py
 create mode 100755 anvio/tests/run_component_tests_for_SCVs_SAAVs_structure.sh
 create mode 100755 anvio/tests/run_component_tests_for_SNVs.sh
 create mode 100755 anvio/tests/run_component_tests_for_alons_classifier.sh
 create mode 100755 anvio/tests/run_component_tests_for_display_functions.sh
 create mode 100755 anvio/tests/run_component_tests_for_export_locus.sh
 create mode 100755 anvio/tests/run_component_tests_for_gene_level_stats.sh
 create mode 100755 anvio/tests/run_component_tests_for_indels.sh
 create mode 100755 anvio/tests/run_component_tests_for_manual_interactive.sh
 create mode 100755 anvio/tests/run_component_tests_for_metagenomics.sh
 create mode 100755 anvio/tests/run_component_tests_for_minimal_metagenomics.sh
 create mode 100755 anvio/tests/run_component_tests_for_pangenomics.sh
 create mode 100755 anvio/tests/run_component_tests_for_trnaseq.sh
 create mode 100755 anvio/tests/run_unit_tests_for_consensus_taxonomy.py
 create mode 100755 anvio/tests/run_workflow_tests_for_all_workflows.sh
 create mode 100755 anvio/tests/run_workflow_tests_for_contigs.sh
 create mode 100755 anvio/tests/run_workflow_tests_for_ecophylo.sh
 create mode 100755 anvio/tests/run_workflow_tests_for_metagenomics.sh
 create mode 100755 anvio/tests/run_workflow_tests_for_metapangenomics.sh
 create mode 100755 anvio/tests/run_workflow_tests_for_pangenomics.sh
 create mode 100755 anvio/tests/run_workflow_tests_for_phylogenomics.sh
 create mode 100644 anvio/tests/sandbox/data/input_files/cov_det_enzymes_input.txt
 create mode 100644 anvio/tests/sandbox/data/input_files/hmm_list.txt
 create mode 100644 anvio/tests/sandbox/data/input_files/hmm_list_external.txt
 create mode 100644 anvio/tests/sandbox/data/input_files/minimal_enzymes_input.txt
 create mode 100644 anvio/tests/sandbox/example_matrix_with_missing_data.txt
 create mode 100644 anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/genes.hmm.gz
 create mode 100644 anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/genes.txt
 create mode 100644 anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/kind.txt
 create mode 100644 anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/noise_cutoff_terms.txt
 create mode 100644 anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/reference.txt
 create mode 100644 anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/target.txt
 create mode 100644 anvio/tests/sandbox/workflows/ecophylo/contigs/sampleB_thetaiotamicron_Ribosomal_L16.fasta
 create mode 100644 anvio/tests/sandbox/workflows/ecophylo/contigs/sample_IGD_SUBSET_Ribosomal_L16.fasta
 create mode 100644 anvio/tests/sandbox/workflows/ecophylo/contigs/sample_P_marinus_Ribosomal_L16.fasta
 create mode 100644 anvio/tests/sandbox/workflows/ecophylo/samples/sampleB_thetaiotamicron_Ribosomal_L16.ini
 create mode 100644 anvio/tests/sandbox/workflows/ecophylo/samples/sample_IGD_SUBSET_Ribosomal_L16.ini
 create mode 100644 anvio/tests/sandbox/workflows/ecophylo/samples/sample_P_marinus_Ribosomal_L16.ini
 create mode 100644 anvio/workflows/ecophylo/scripts/rename_external_gene_calls_file.py
 create mode 100644 anvio/workflows/ecophylo/scripts/subset_external_gene_calls_file.py
 create mode 100755 bin/anvi-get-tlen-dist-from-bam
 create mode 100755 bin/anvi-merge-trnaseq
 create mode 100755 bin/anvi-plot-trnaseq
 create mode 100755 bin/anvi-setup-user-modules
 create mode 100755 bin/anvi-tabulate-trnaseq
 create mode 100755 sandbox/anvi-script-as-markdown
 create mode 100755 sandbox/anvi-script-permute-trnaseq-seeds

diff --git a/.gitignore b/.gitignore
index 5d98eac271..ca105167eb 100755
--- a/.gitignore
+++ b/.gitignore
@@ -25,7 +25,7 @@ anvio/data/misc/SCG
 anvio/data/misc/KEGG
 diamond-log-file.txt
 anvio/data/misc/SCG_TAXONOMY/GTDB/SCG_SEARCH_DATABASES/*.dmnd
-
+anvio/tests/sandbox/update-contigs-and-bams-for-mini-test/output
 anvio/tests/sandbox/test_visualize_split_coverages/TEST_OUTDIR
 anvio/data/misc/KEGG/
 anvio/data/misc/TRNA_TAXONOMY/
diff --git a/NEWS.md b/NEWS.md
index b353f3b4bc..04fd77ce88 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -3,7 +3,7 @@ We are happy to announce anvi'o v7, with the code name 'hope' after 'Hope E. Hop
 
 This release adds more than 35,000 new lines of code and a myriad of new toys into anvi'o.
 
-Please see the release notes [here](https://github.com/merenlab/anvio/releases/tag/v2), and our updated installation instructions [here](http://merenlab.org/install-anvio).
+Please see the release notes [here](https://github.com/merenlab/anvio/releases/tag/v7), and our updated installation instructions [here](http://merenlab.org/install-anvio).
 ***
 
 # v6.2: a critical update for "esther" (06.04.2020) #
diff --git a/anvio/argparse.py b/anvio/argparse.py
index 0a38b84cb4..fa698a0d05 100755
--- a/anvio/argparse.py
+++ b/anvio/argparse.py
@@ -187,7 +187,7 @@ def format_help(self):
     def sanity_check(self, args):
         """Simple sanity checks for global arguments"""
 
-        # make sure num threads are not 0 or negative.
+        # make sure num threads are not 0 or negative. 
         if args and 'num_threads' in args:
             try:
                 args.num_threads = int(args.num_threads)
@@ -208,8 +208,6 @@ def get_args(self, parser, auto_fill_anvio_dbs=False):
         to see can still be sorted out.
         """
 
-        allowed_ad_hoc_flags = ['--version', '--debug', '--force', '--fix-sad-tables', '--quiet', '--no-progress', '--as-markdown', '--tmp-dir', '--display-db-calls']
-
         args, unknown = parser.parse_known_args()
 
         self.sanity_check(args)
@@ -222,8 +220,8 @@ def get_args(self, parser, auto_fill_anvio_dbs=False):
 
         # if there are any args in the unknown that we do not expect to find
         # we we will make argparse complain about those.
-        if len([f for f in unknown if f not in allowed_ad_hoc_flags]):
-            for f in allowed_ad_hoc_flags:
+        if len([f for f in unknown if f not in self.anvio_allowed_ad_hoc_flags]):
+            for f in self.anvio_allowed_ad_hoc_flags:
                 # handle non-boolean flags
                 if f in ['--tmp-dir']:
                     parser.add_argument(f)
@@ -404,3 +402,5 @@ def get_updated_args(self):
                 self.run.info(variable, reason, nl_after= (1 if (variable, reason) == self.__args_failed[-1] else 0), lc="yellow")
 
         return self.args
+
+
diff --git a/anvio/authors.py b/anvio/authors.py
index 056ad8c849..e62e71edac 100644
--- a/anvio/authors.py
+++ b/anvio/authors.py
@@ -3,7 +3,6 @@
 """A library to process anvi'o authors file"""
 
 import os
-import sys
 
 import anvio
 import anvio.utils as utils
@@ -23,7 +22,7 @@
 
 
 class AnvioAuthors:
-    def __init__(self, authors_yaml_file_path=os.path.join(os.path.dirname(anvio.__file__), 'data/misc/AUTHORS/AUTHORS.yaml'), skip_init=False, r=terminal.Run(), p=terminal.Progress()):
+    def __init__(self, authors_yaml_file_path=os.path.join(os.path.dirname(anvio.__file__), 'data/misc/PEOPLE/DEVELOPERS.yaml'), skip_init=False, r=terminal.Run(), p=terminal.Progress()):
         self.run = r
         self.progress = p
 
diff --git a/anvio/auxiliarydataops.py b/anvio/auxiliarydataops.py
index 617c22e122..fb950e5451 100644
--- a/anvio/auxiliarydataops.py
+++ b/anvio/auxiliarydataops.py
@@ -25,13 +25,16 @@
 progress = terminal.Progress()
 pp = terminal.pretty_print
 
-COVERAGE_DTYPE = 'uint16'
-COVERAGE_MAX_VALUE = np.iinfo(COVERAGE_DTYPE).max
+DEFAULT_COVERAGE_DTYPE = 'uint16'
+DEFAULT_COVERAGE_MAX_VALUE = np.iinfo(DEFAULT_COVERAGE_DTYPE).max
+TRNASEQ_COVERAGE_DTYPE = 'uint32'
+TRNASEQ_COVERAGE_MAX_VALUE = np.iinfo(TRNASEQ_COVERAGE_DTYPE).max
 
 class AuxiliaryDataForSplitCoverages(object):
-    def __init__(self, db_path, db_hash, create_new=False, ignore_hash=False, run=run, progress=progress, quiet=False):
+    def __init__(self, db_path, db_hash, db_variant='unknown', create_new=False, ignore_hash=False, run=run, progress=progress, quiet=False):
         self.db_type = 'auxiliary data for coverages'
         self.db_hash = str(db_hash)
+        self.db_variant = str(db_variant)
         self.version = anvio.__auxiliary_data_version__
         self.db_path = db_path
         self.quiet = quiet
@@ -40,6 +43,8 @@ def __init__(self, db_path, db_hash, create_new=False, ignore_hash=False, run=ru
         self.coverage_entries = []
         self.create_new = create_new
 
+        self.coverage_dtype = TRNASEQ_COVERAGE_DTYPE if db_variant == 'trnaseq' else DEFAULT_COVERAGE_DTYPE
+        self.coverage_max_value = TRNASEQ_COVERAGE_MAX_VALUE if db_variant == 'trnaseq' else DEFAULT_COVERAGE_MAX_VALUE
         self.db = db.DB(self.db_path, self.version, new_database=self.create_new)
 
         if self.create_new:
diff --git a/anvio/bamops.py b/anvio/bamops.py
index f795e8cbd9..f02a689260 100644
--- a/anvio/bamops.py
+++ b/anvio/bamops.py
@@ -222,9 +222,26 @@ def __init__(self, *args):
 
         filesnpaths.is_file_bam_file(self.input_bam_path)
 
+        self.fetch_filter = None
+
         pysam.AlignmentFile.__init__(self)
 
 
+    def fetch_only(self, contig_name, start=None, end=None, *args, **kwargs):
+        """A wrapper function for `bam.fetch()`.
+
+        Having a single function enables global application of `fetch_filters` to reads
+        reported from a BAM file.
+        """
+
+        for read in self.fetch(contig_name, start, end):
+            if self.fetch_filter:
+                if constants.fetch_filters[self.fetch_filter](read):
+                    yield read
+            else:
+                yield read
+
+
     def fetch_and_trim(self, contig_name, start, end, *args, **kwargs):
         """Returns an read iterator that trims overhanging reads
 
@@ -232,12 +249,15 @@ def fetch_and_trim(self, contig_name, start, end, *args, **kwargs):
         defined region so that they fit inside the start and stop.
         """
 
-        for read in self.fetch(contig_name, start, end, *args, **kwargs):
-            if read.cigartuples is None or read.query_sequence is None:
+        for read in self.fetch_only(contig_name, start, end, *args, **kwargs):
+            if read.is_unmapped or read.cigartuples is None or read.query_sequence is None:
                 # This read either has no associated cigar string or no query sequence. If cigar
                 # string is None, this means it did not align but is in the BAM file anyways, or the
                 # mapping software decided it did not want to include a cigar string for this read.
-                # The origin of why query sequence would be None is unkown.
+                # The origin of why query sequence would be None is unkown. Alternatively, this read
+                # has a query sequence, has a cigar string (and therefore mapped), but for some
+                # reason pysam has given the read the attribute read.is_unmapped == True. We choose
+                # not to work with such a read (see https://github.com/merenlab/anvio/issues/1821)
                 continue
 
             read = Read(read)
@@ -280,12 +300,15 @@ def fetch_filter_and_trim(self, contig_name, start, end, percent_id_cutoff=0, *a
             percent_id_cutoff=95.0
         """
 
-        for read in self.fetch(contig_name, start, end, *args, **kwargs):
-            if read.cigartuples is None or read.query_sequence is None:
+        for read in self.fetch_only(contig_name, start, end, *args, **kwargs):
+            if read.is_unmapped or read.cigartuples is None or read.query_sequence is None:
                 # This read either has no associated cigar string or no query sequence. If cigar
                 # string is None, this means it did not align but is in the BAM file anyways, or the
                 # mapping software decided it did not want to include a cigar string for this read.
-                # The origin of why query sequence would be None is unkown.
+                # The origin of why query sequence would be None is unkown. Alternatively, this read
+                # has a query sequence, has a cigar string (and therefore mapped), but for some
+                # reason pysam has given the read the attribute read.is_unmapped == True. We choose
+                # not to work with such a read (see https://github.com/merenlab/anvio/issues/1821)
                 continue
 
             read = Read(read)
@@ -345,7 +368,7 @@ def reads_have_MD_tags(self, num_reads=10000, require=all):
         reads_checked = 0
 
         for contig_name in self.references:
-            for read in self.fetch(contig_name):
+            for read in self.fetch_only(contig_name):
                 if read.cigartuples is None:
                     # if it didn't map we forgive it for not having an MD tag
                     continue
@@ -726,7 +749,7 @@ def run(self, bam, contig_or_split, start=None, end=None, read_iterator='fetch',
     def _fetch_iterator(self, bam, contig_name, start, end):
         """Uses standard pysam fetch iterator from AlignmentFile objects, ignores unmapped reads"""
 
-        for read in bam.fetch(contig_name, start, end):
+        for read in bam.fetch_only(contig_name, start, end):
             if read.cigartuples is None or read.query_sequence is None:
                 # This read either has no associated cigar string or no query sequence. If cigar
                 # string is None, this means it did not align but is in the BAM file anyways, or the
@@ -1599,3 +1622,5 @@ def _trim(cigartuples, cigar_consumption, query_sequence, reference_sequence, re
         reference_start += ref_positions_trimmed
 
     return cigartuples, query_sequence, reference_sequence, reference_start, reference_end
+
+
diff --git a/anvio/clustering.py b/anvio/clustering.py
index ee83f2cfd1..912c7281fc 100644
--- a/anvio/clustering.py
+++ b/anvio/clustering.py
@@ -8,6 +8,7 @@
 from sklearn import manifold
 from sklearn import preprocessing
 from scipy.cluster import hierarchy
+from scipy.spatial import distance as scipy_distance
 
 import anvio
 import anvio.utils as utils
@@ -102,14 +103,41 @@ def get_newick_tree_data_for_dict(d, transpose=False, linkage=constants.linkage_
     return newick
 
 
+def get_vectors_for_vectors_with_missing_data(vectors):
+    """Get a distance matrix for vectors with missing data.
+
+    Modified from the solution at https://stackoverflow.com/questions/31420912/python-hierarchical-clustering-with-missing-values
+    """
+
+    vectors[vectors == None] = np.nan
+
+    Npat = vectors.shape[0]
+    dist = np.ndarray(shape=(Npat,Npat))
+    dist.fill(0)
+    for ix in range(0,Npat):
+        x = vectors[ix,]
+        if ix >0:
+            for iy in range(0,ix):
+                y = vectors[iy,]
+                dist[ix,iy] = np.nanmean((x - y) ** 2, dtype='float32')
+                dist[iy,ix] = dist[ix,iy]
+
+    return scipy_distance.squareform(dist)
+
+
 def get_newick_from_matrix(vectors, distance, linkage, norm, id_to_sample_dict, transpose=False):
     is_distance_and_linkage_compatible(distance, linkage)
 
     if transpose:
         vectors = vectors.transpose()
 
-    # normalize vectors:
-    vectors = get_normalized_vectors(vectors, norm=norm, progress=progress)
+    # if there are missing values in data, we will assume that
+    # it was normalized by the user.
+    if None in vectors:
+        vectors = get_vectors_for_vectors_with_missing_data(vectors)
+    else:
+        # normalize vectors:
+        vectors = get_normalized_vectors(vectors, norm=norm, progress=progress)
 
     tree = get_clustering_as_tree(vectors, linkage, distance, progress)
     newick = get_tree_object_in_newick(tree, id_to_sample_dict)
@@ -139,7 +167,7 @@ def create_newick_file_from_matrix_file(observation_matrix_path, output_file_pat
 
     if items_order_file_path:
         open(items_order_file_path, 'w').write('\n'.join(utils.get_names_order_from_newick_tree(newick)) + '\n')
-        
+
 
 def get_scaled_vectors(vectors, user_seed=None, n_components=12, normalize=True, progress=progress):
     if user_seed:
diff --git a/anvio/cogs.py b/anvio/cogs.py
index baa9253cb2..86e8a1cb1c 100644
--- a/anvio/cogs.py
+++ b/anvio/cogs.py
@@ -635,9 +635,10 @@ def raise_error(line_num, line_content, fields, e):
             raise ConfigError(f"Bad news :( While parsing a COG input file, anvi'o encountered an error (which said: [{e}]) "
                               f"while processing the line {line_counter} in your file. Where the fields in that file looked "
                               f"looked like this: {fields}. Sadly, this has been a long-standing and very annoying issue that "
-                              f"anvi'o developers were unable to reproduce. If you would like to help us find a solution, please "
-                              f"visit the issue located at https://github.com/merenlab/anvio/issues/1738. There you can copy-paste "
-                              f"this error message and attach the file in question that is located on your disk at '{input_file_path}'.")
+                              f"anvi'o developers were unable to reproduce. But we recently learned that the issue is likely due "
+                              f"to your internet speed (https://github.com/merenlab/anvio/issues/1738). Slower connections lead "
+                              f"to broken connections with the NCBI servers, and leave you with an unfinished file :/ The only "
+                              f"working solution so far is to try again with a faster internet connection.")
 
         progress.new('Formatting protein ids to COG ids file', progress_total_items=num_lines_in_file)
 
diff --git a/anvio/completeness.py b/anvio/completeness.py
index a6c703e27d..3ce29b8e79 100644
--- a/anvio/completeness.py
+++ b/anvio/completeness.py
@@ -105,14 +105,14 @@ def __init__(self, contigs_db_path, scg_domain_classifier_path=None, source_requ
 
         if len(self.domains_missing_in_SCGs_run_for_contigs):
             num_domains_missing = len(self.domains_missing_in_SCGs_run_for_contigs)
-            self.progress.reset()
-            self.run.warning("Things are not quite OK. It seems %d of the domains that are known to the classifier anvi'o uses to predict "
-                             "domains for completion estimation are missing from your contigs database. This means, you didn't run the "
-                             "program `anvi-run-hmms` with default parameters, or you removed some essential SCG domains from it later. Or "
-                             "you did something else. Who knows. Here is the list of domains that are making us upset here: \"%s\". We hope "
-                             "you are happy. If you want to get rid of this warning you can run `anvi-run-hmms` on this your contigs database "
-                             "whenever it is convenient to you, so anvi'o can make sure you have everything in the right place." % \
-                                           (num_domains_missing, ', '.join(self.domains_missing_in_SCG_domain_predictor)))
+
+            if anvio.DEBUG:
+                self.progress.reset()
+                self.run.warning("It seems %d of the domains that are known to the classifier anvi'o uses to predict "
+                                 "domains for completion estimation are missing from this contigs database. This means, the user didn't run the "
+                                 "program `anvi-run-hmms` with default parameters, or removed some essential SCG domains from it later. Here is "
+                                 "the list of domains that are making us upset here: \"%s\". Running `anvi-run-hmms` on this your contigs database "
+                                 "will likely address this warning." % (num_domains_missing, ', '.join(self.domains_missing_in_SCG_domain_predictor)))
 
             # since we just established that the user did not run these domains for their contigs database,
             # we will update our self.domains variable to make sure the fucked uppery that will likely take
@@ -126,17 +126,19 @@ def __init__(self, contigs_db_path, scg_domain_classifier_path=None, source_requ
         self.sources_missing_in_SCG_domain_predictor = [s for s in self.sources if s not in self.SCG_domain_predictor.SCG_sources]
         if len(self.sources_missing_in_SCGs_run_for_contigs):
             num_sources_missing = len(self.sources_missing_in_SCGs_run_for_contigs)
-            self.progress.reset()
-            self.run.warning("OK. We have a VERY interesting problem. You have all the SCG domains necessary to run the predictor covered "
-                             "in your contigs database, however, %s that are used during the training of the domain predictor does not seem "
-                             "to occur in your contigs database :/ Here is the list of HMM sources that are making us upset here: \"%s\".\
-                              This most likely means you are using a new version of anvi'o with older single-copy core gene sources, or you are\
-                              exploring new single-copy core gene sources to see how they behave. That's all good and very exciting, but unfortunately\
-                              anvi'o will not be able to predict domains due to this incompatibility here. You could solve this problem by running\
-                              `anvi-run-hmms` on your contigs database, but you can also live without solving it as anvi'o will continue running\
-                              by not utilizing domain-specific HMMs for completion/redundancy estimates, but giving you all the results all at once." % \
-                                           ('an HMM source' if num_sources_missing == 1 else '%s HMM sources' % num_sources_missing,
-                                            ', '.join(self.sources_missing_in_SCGs_run_for_contigs)))
+
+            if anvio.DEBUG:
+                self.progress.reset()
+                self.run.warning("All the SCG domains necessary to run the predictor covered in the contigs database, however, %s that are used "
+                                 "during the training of the domain predictor does not seem to occur in it :/ Here is the list of HMM sources "
+                                 "that are making us upset here: \"%s\". This most likely means that either a new version of anvi'o are used with "
+                                 "an older set of single-copy core gene sources, or someone is exploring new single-copy core gene sources to see "
+                                 "how they behave. That's all good and very exciting, but unfortunately anvi'o will not be able to predict domains "
+                                 "due to this incompatibility here. Running `anvi-run-hmms` on this contigs database would've solved this problem "
+                                 "but it is not an absolute necessity as anvi'o will continue running by not utilizing domain-specific HMMs for "
+                                 "completion/redundancy estimates, and report all the results all at once without prioritizing a single domain." % \
+                                               ('an HMM source' if num_sources_missing == 1 else '%s HMM sources' % num_sources_missing,
+                                                ', '.join(self.sources_missing_in_SCGs_run_for_contigs)))
             self.initialized_properly = False
 
 
@@ -297,7 +299,7 @@ def get_best_matching_domain(self, hmm_hits, observed_genes_per_domain, bin_name
                     info_text = "GREAT DOMAIN EST & YOU'RE GOLDEN. The very high confidence of domain prediction indicates that this set of contigs\
                                  are almost certainly coming from a population that belongs to %s. IN ADDITION, the low redundancy of SCGs\
                                  do not predict any serious contamination. But please remember that this information does not mean there is NO\
-                                 contamination in your genome bin. If you want to take a more carful look, you can try `anvi-refine`." \
+                                 contamination in your genome bin. If you want to take a more careful look, you can try `anvi-refine`." \
                                             % (best_matching_domain)
                 elif best_matching_domain_redundancy >= 10 and best_matching_domain_redundancy <= 100:
                     info_text = "GREAT DOMAIN CONFIDENCE (YAY) BUT SOME SERIOUS REDUNDANCY (BOO). The very high confidence of domain prediction indicates that this\
diff --git a/anvio/constants.py b/anvio/constants.py
index 4b3b1a8eec..e5b3e5976f 100644
--- a/anvio/constants.py
+++ b/anvio/constants.py
@@ -128,6 +128,7 @@
 # we use uint16 as dtype for numpy arrays when we work on & store coverages
 # which has limit of 65536, so this constant needs to be smaller than that.
 # If you change this value please change all dtypes.
+# (This does not apply to the tRNA-seq workflow, which stores coverages as uint32.)
 max_depth_for_coverage = 60000
 
 # default methods for hierarchical cluster analyses
@@ -319,6 +320,28 @@
                         'Tyr': ['TAC', 'TAT'],
                         'Val': ['GTA', 'GTC', 'GTG', 'GTT']})
 
+AA_to_anticodons = Counter({'Ala': ['AGC', 'CGC', 'GGC', 'TGC'],
+                            'Arg': ['ACG', 'CCG', 'CCT', 'GCG', 'TCG', 'TCT'],
+                            'Asn': ['ATT', 'GTT'],
+                            'Asp': ['ATC', 'GTC'],
+                            'Cys': ['ACA', 'GCA'],
+                            'Gln': ['CTG', 'TTG'],
+                            'Glu': ['CTC', 'TTC'],
+                            'Gly': ['ACC', 'CCC', 'GCC', 'TCC'],
+                            'His': ['ATG', 'GTG'],
+                            'Ile': ['AAT', 'GAT', 'TAT'],
+                            'Leu': ['AAG', 'CAA', 'CAG', 'GAG', 'TAA', 'TAG'],
+                            'Lys': ['CTT', 'TTT'],
+                            'Met': ['CAT'],
+                            'Phe': ['AAA', 'GAA'],
+                            'Pro': ['AGG', 'CGG', 'GGG', 'TGG'],
+                            'STP': ['CTA', 'TCA', 'TTA'],
+                            'Ser': ['ACT', 'AGA', 'CGA', 'GCT', 'GGA', 'TGA'],
+                            'Thr': ['AGT', 'CGT', 'GGT', 'TGT'],
+                            'Trp': ['CCA'],
+                            'Tyr': ['ATA', 'GTA'],
+                            'Val': ['AAC', 'CAC', 'GAC', 'TAC']})
+
 AA_to_single_letter_code = Counter({'Ala': 'A', 'Arg': 'R', 'Asn': 'N', 'Asp': 'D',
                                     'Cys': 'C', 'Gln': 'Q', 'Glu': 'E', 'Gly': 'G',
                                     'His': 'H', 'Ile': 'I', 'Leu': 'L', 'Lys': 'K',
diff --git a/anvio/data/interactive/images/logo-inverted.png b/anvio/data/interactive/images/logo-inverted.png
new file mode 100644
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diff --git a/anvio/data/mini-states/display-functions.json b/anvio/data/mini-states/display-functions.json
index f6146443de..04e1168d5c 100644
--- a/anvio/data/mini-states/display-functions.json
+++ b/anvio/data/mini-states/display-functions.json
@@ -34,6 +34,13 @@
             "margin": "15",
             "type": "intensity",
             "color-start": "#3d7a00"
+        },
+        "__FUNCTIONS_LAYER_NAME__": {
+            "color": "#000000",
+            "height": "0",
+            "margin": "15",
+            "type": "text",
+            "color-start": "#e8e8e8"
         }
     },
     "views": {
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diff --git a/anvio/data/misc/PEOPLE/DEVELOPERS.yaml b/anvio/data/misc/PEOPLE/DEVELOPERS.yaml
new file mode 100644
index 0000000000..8df91ba4b9
--- /dev/null
+++ b/anvio/data/misc/PEOPLE/DEVELOPERS.yaml
@@ -0,0 +1,359 @@
+- github: meren
+  name: A. Murat Eren (Meren)
+  twitter: merenbey
+  web: http://merenlab.org
+  avatar: meren.jpg
+  email: a.murat.eren@gmail.com
+  linkedin: meren
+  orcid: 0000-0001-9013-4827
+  skype: a.murat.eren
+  bio: "Computer scientist and microbial ecologist interested in undersatnding mechanisms by which microbes interact with their surroundings, evolve, disperse, and respond to environmental change."
+  affiliations:
+    - title: Professor
+      inst: Helmholtz Institute for Functional Marine Biodiversity at Oldenburg
+      inst_link: https://hifmb.de
+      current: true
+    - title: Professor
+      inst: Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research
+      inst_link: https://awi.de
+      current: true
+    - title: Professor
+      inst: Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg
+      inst_link: https://uol.de/icbm
+      current: true
+    - title: Fellow
+      inst: Marine Biological Laboratory
+      inst_link: http://www.mbl.edu/
+      current: true
+    - title: Fellow
+      inst: Alfred P. Sloan Fondation
+      inst_link: https://sloan.org/grant-detail/9260
+    - title: Assistant Professor
+      inst: The Department of Medicine at the University of Chicago
+      inst_link: http://medicine.uchicago.edu/
+    - title: Committee on Microbiology
+      inst: The Biomedical Sciences Cluster at the University of Chicago
+      inst_link: https://biomedsciences.uchicago.edu/
+    - title: Post-doctoral Scientist
+      inst: Marine Biological Laboratory
+      inst_link: https://mbl.edu
+
+- github: FlorianTrigodet
+  name: Florian Trigodet
+  email: trigodet.florian@gmail.com
+  twitter: FlorianTrigodet
+  orcid: 0000-0002-4933-2896
+  linkedin: florian-trigodet-67b351b4
+  avatar: FlorianTrigodet.jpg
+  bio: "Microbiologist using advanced computational strategies to make sense of the microbial ecology of complex habitats."
+  affiliations:
+    - title: Post-doctoral Scientist
+      inst: The Department of Medicine at the University of Chicago
+      inst_link: http://medicine.uchicago.edu/
+      current: true
+
+- github: watsonar
+  name: Andrea Watson
+  email: andreawatson@uchicago.edu
+  linkedin: andrea-rose-watson-82079a61
+  orcid: 0000-0003-0128-6795
+  twitter: awatsontxt
+  avatar: watsonar.jpg
+  bio: "Microbiologist interested in combining wet lab and computational methods in a complementary way to answer fundamental questions."
+  affiliations:
+    - title: Bioinformatics Scientist
+      inst: Vedanta Biosciences
+      inst_link: https://www.vedantabio.com/
+      current: true
+    - title: Graduate Student
+      inst: Committee on Microbiology at the University of Chicago
+      inst_link: https://biomedsciences.uchicago.edu/page/microbiology
+
+- github: ekiefl
+  name: Evan Kiefl
+  web: http://ekiefl.github.io
+  twitter: evankiefl
+  linkedin: ekiefl
+  orcid: 0000-0002-6473-0921
+  email: kiefl.evan@gmail.com
+  avatar: ekiefl.jpg
+  bio: "Computational biologist and software developer. For my PhD I studied how selective pressures shape the evolution of proteins in naturally occurring microbial populations."
+  intellectual-contributions:
+    - contribution: "Spearheaded the development of protein structure prediction, analysis, and visualization capabilities within anvi'o"
+    - contribution: "Redesigned mission-critical code related to metagenomic workflows, decreasing compute times from >100 hours to <1 hour for terabyte-scale analyses"
+    - contribution: "Made significant contributions to the overall health and maintenance of the codebase through code reviews, performance refactoring, feature implementation, and issue diagnosis"
+    - contribution: "Made significant contributions to the storage, processing, and analysis strategies related to single nucleotide variants (SNVs), single codon variants (SCVs), single amino acid variants (SAAVs), and insertions/deletions (INDELs)"
+    - contribution: "Made significant contributions to documentation, totaling >3,000 lines of codebase documentation and >20,000 words of blogs/tutorials/workflows"
+  affiliations:
+    - title: Bioinformatician
+      inst: AbCellera
+      inst_link: https://www.abcellera.com/
+      current: true
+    - title: Graduate Student
+      inst: The Biophysical Sciences Program at the University of Chicago
+      inst_link: http://biophysics.uchicago.edu/
+
+- github: mschecht
+  name: Matthew Schechter
+  email: mschechter@uchicago.edu
+  avatar: mschecht.jpg
+  linkedin: matthewschechter
+  orcid: 0000-0002-8435-3203
+  twitter: mschecht_bio
+  bio: "Microbiologist interested in combining comparative genomics and environmental metagenomics to identify genetic determinants of fitness in microbial populations in the human gut and ocean microbiome."
+  affiliations:
+    - title: Graduate Student
+      inst: Committee on Microbiology at the University of Chicago
+      inst_link: https://biomedsciences.uchicago.edu/page/microbiology
+      current: true
+
+- github: ivagljiva
+  name: Iva Veseli
+  email: iveseli@uchicago.edu
+  orcid: 0000-0003-2390-528
+  twitter: ivaglj1va
+  linkedin: iva-veseli
+  avatar: ivagljiva.jpg
+  bio: "Computer scientist and biologist who leverages computational methods to study microbial metabolism in environmental metagenomes."
+  intellectual-contributions:
+    - contribution: "Spearheaded the development of <a href=https://anvio.org/help/main/programs/anvi-estimate-metabolism/>anvi'o metabolism framework</a>"
+    - contribution: "Spearheaded <a href=https://anvio.org/vocabulary>the 'omics vocabulary</a> effort"
+  affiliations:
+    - title: Graduate Student
+      inst: The Biophysical Sciences Program at the University of Chicago
+      inst_link: http://biophysics.uchicago.edu/
+      current: true
+    - title: Fellow
+      inst: NSF Graduate Research Fellowship Program
+      inst_link: https://www.nsfgrfp.org/
+      current: true
+
+- github: moritzbuck
+  name: Moritz Buck
+  email: moritz.buck@slu.se
+  twitter: MetaMoritz
+  affiliations:
+    - title: Researcher
+      inst: Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences
+      inst_link: https://www.slu.se/en/departments/aquatic-sciences-assessment/
+      current: true
+
+- github: semiller10
+  name: Samuel Miller
+  email: samuelmiller@uchicago.edu
+  orcid: 0000-0002-2836-1401
+  twitter: smiller_science
+  web: https://semiller10.github.io
+  avatar: semiller10.jpg
+  bio: "Computational and molecular microbiologist studying how microbes function in their environments through tRNA-sequencing, proteomics, and metagenomics."
+  affiliations:
+    - title: Post-doctoral Scientist
+      inst: The Department of Medicine at the University of Chicago
+      inst_link: http://medicine.uchicago.edu/
+      current: true
+
+- github: isaacfink21
+  name: Isaac Fink
+  email: iafink@uchicago.edu
+  avatar: isaacfink21.png
+  orcid: 0000-0003-3930-029X
+  bio: "Computer scientist interested in enhancing the power and accessibility of computational strategies to study microbial life."
+  affiliations:
+    - title: Undergraduate Student
+      inst: Computer Science
+      inst_link: http://collegecatalog.uchicago.edu/thecollege/computerscience/
+      current: true
+
+- github: matthewlawrenceklein
+  name: Matthew Lawrence Klein
+  web: http://matthewlawrencekle.in
+  linkedin: matthew-lawrence-klein
+  email: mtt.l.kln@gmail.com
+  avatar: matthewlawrenceklein.jpg
+  bio: "Software developer interested in the role of technology in supporting a more equitable future on planet earth."
+  affiliations:
+    - title: Programmer
+      inst: The Department of Medicine at the University of Chicago
+      inst_link: http://medicine.uchicago.edu/
+      current: true
+
+- github: blankenberg
+  name: Daniel Blankenberg
+  email: blanked2@ccf.org
+  affiliations:
+    - title: Faculty Member
+      inst: Genomic Medicine Institute at the Cleveland Clinic Lerner Research Institute
+      inst_link: http://www.lerner.ccf.org/gmi/
+      current: true
+
+- github: Jessica-Pan
+  name: Jessica Pan
+  email: jnpan@mit.edu
+  avatar: Jessica-Pan.png
+  orcid: 0000-0002-6743-6146
+  bio: "Computer scientist interested in computational methods to investigate microbial ecosystems and making those techniques more accessible to others."
+  intellectual-contributions:
+    - contribution: "Populated the initial program and artifact descriptions used in <a href=https://anvio.org/help/main>help pages</a>"
+  affiliations:
+    - title: Undergraduate Student
+      inst: Massachusetts Institute of Technology
+      inst_link: http://web.mit.edu/
+      current: true
+    - title: Intern
+      inst: The Department of Medicine at the University of Chicago
+      inst_link: http://medicine.uchicago.edu/
+
+- github: ShaiberAlon
+  name: Alon Shaiber
+  email: alon.shaiber@gmail.com
+  twitter: alon_shaiber
+  orcid: 0000-0002-4806-9280
+  linkedin: alon-shaiber
+  skype: alon.shaiber
+  avatar: ShaiberAlon.jpg
+  bio: "Computational scientist previously studying microbial ecology, currently studying structural variation in cancer genomics, and what's next? Who knows?"
+  intellectual-contributions:
+    - contribution: "Spearheaded the development of <a href=https://merenlab.org/2018/07/09/anvio-snakemake-workflows/>anvi'o snakemake workflows</a>"
+  affiliations:
+    - title: Genomics Data Scientist
+      inst: Weill Cornell Medicine
+      inst_link: https://weill.cornell.edu/
+      current: true
+    - title: Graduate Student
+      inst: The Biophysical Sciences Program at the University of Chicago
+      inst_link: http://biophysics.uchicago.edu/
+
+- github: ozcan
+  name: Özcan C. Esen
+  email: ozcanesen@gmail.com
+  twitter: ozcanesen
+  avatar: ozcan.jpg
+  web: http://blog.ozcanesen.com/
+  bio: "Computer engineer interested in developing tools for the visualization of complex data."
+  intellectual-contributions:
+    - contribution: "Spearheaded the development of interactive interfaces of anvi'o"
+    - contribution: "Implemented the framework for seamless migration of anvi'o databases between versions"
+  affiliations:
+    - title: Programmer
+      inst: The Department of Medicine at the University of Chicago
+      inst_link: http://medicine.uchicago.edu/
+
+- github: mahmoudyousef98
+  name: Mahmoud Yousef
+  avatar: mahmoudyousef98.jpg
+  email: mahmoudyousef@uchicago.edu
+  linkedin: mahmoud-yousef-314198128/
+  bio: "Computer scientist and medical student interested in exploring the intersection of bioinformatics and medicine, and how bioinformatic techniques can be used to advance the quality of medicine."
+  affiliations:
+     - title: Medical Student
+       inst: Pritzker School of Medicine, University of Chicago
+       inst_link: https://pritzker.uchicago.edu/
+       current: true
+     - title: Undergraduate Student
+       inst: Department of Computer Science at the University of Chicago
+       inst_link: https://www.cs.uchicago.edu/
+
+- github: qclayssen
+  name: Quentin Clayssen
+  email: quentin.clayssen@gmail.com
+  linkedin: quentin-clayssen-398360139
+  twitter: ClayssenQ
+  avatar: qclayssen.jpg
+  bio: "Microbiologist and bioinformatician interested in metagenomics."
+  intellectual-contributions:
+    - contribution: "Contributed to the development of the SCG taxonomy framework"
+  affiliations:
+    - title: Graduate Student
+      inst: ETH Zurich
+      inst_link: https://ethz.ch/en.html
+      current: true
+    - title: Intern
+      inst: The Department of Medicine at the University of Chicago
+      inst_link: http://medicine.uchicago.edu/
+
+- github: srinidhi202
+  name: Srinidhi Varadharajan
+  email: srinidhi.varadharajan@bcm.edu
+  orcid: 0000-0002-2033-0758
+  affiliations:
+    - title: Programmer
+      inst: Baylor College of Medicine
+      inst_link: https://www.bcm.edu/
+      current: true
+
+- github: adw96
+  avatar: adw96.jpg
+  name: Amy D. Willis
+  email: adwillis@uw.edu
+  web: http://statisticaldiversitylab.com/team/amy-willis
+  linkedin: none
+  twitter: AmyDWillis
+  orcid: 0000-0002-2802-4317
+  bio: "Statistician and data scientist developing methods for the analysis of biodiversity, with a particular focus on the microbiome."
+  affiliations:
+    - title: Principal Investigator
+      inst: Statistical Diversity Lab, University of Washington
+      inst_link: http://statisticaldiversitylab.com/
+      current: true
+    - title: Assistant Professor
+      inst: Department of Biostatistics, University of Washington
+      inst_link: https://www.biostat.washington.edu/
+      current: true
+
+- github: mooreryan
+  avatar: mooreryan.jpeg
+  name: Ryan Moore
+  email: moorer@udel.edu
+  linkedin: ryan-moore-444a21b5
+  twitter: TenderIsTheByte
+  affiliations:
+    - title: Graduate Student (Wommack Lab)
+      inst: Center for Bioinformatics and Comp Bio, University of Delaware
+      inst_link: https://bioinformatics.udel.edu/
+      current: true
+
+- github: efogarty11
+  name: Emily Fogarty
+  email: efogarty@uchicago.edu
+  orcid: 0000-0002-8957-9922
+  avatar: efogarty11.jpg
+  bio: "Microbiologist developing computational and wet lab strategies to study horizontal gene transfer in the human gut microbiome."
+  affiliations:
+    - title: Graduate Student
+      inst: Committee on Microbiology at the University of Chicago
+      inst_link: https://biomedsciences.uchicago.edu/page/microbiology
+      current: true
+
+- github: AstrobioMike
+  name: Mike Lee
+  bio: "Bioinformatician who explores microbial ecology and evolution in a wide range of environments."
+  avatar: AstrobioMike.jpg
+  email: michael.lee0517@gmail.com
+  web: https://astrobiomike.github.io
+  twitter: AstrobioMike
+  linkedin: AstrobioMike
+  affiliations:
+    - title: NASA Space Biology Fellow
+      inst: NASA Ames Research Center
+      inst_link: https://www.nasa.gov/ames
+      current: true
+    - title: JCVI Research Fellow
+      inst: J. Craig Venter Institute
+      inst_link: https://www.jcvi.org/
+
+- github: nick-youngblut
+  name: Nick Youngblut
+  bio: "Microbiologist studying methanogens and host-microbiome coevolution"
+  avatar: youngblut.jpg
+  email: nyoungb2@gmail.com
+  web: https://leylab.com/research/ecology-and-evolution-of-host-associated-methanogens-youngblut-group/
+  twitter: nick_youngblut
+  linkedin: nicholas-youngblut
+  orcid: 0000-0002-7424-5276
+  intellectual-contributions:
+    - contribution: "Spearheaded the implementation of GitHub actions for automated component tests"
+  affiliations:
+    - title: Group Leader in the Department of Microbiome Science
+      inst: Max Planck Institute for Biology
+      inst_link: http://eb.tuebingen.mpg.de/
+      current: true
diff --git a/anvio/data/static/template/artifact.tmpl b/anvio/data/static/template/artifact.tmpl
index 1a9968a548..e53cf80546 100644
--- a/anvio/data/static/template/artifact.tmpl
+++ b/anvio/data/static/template/artifact.tmpl
@@ -1,6 +1,7 @@
 ---
-layout: page
-title: {{ artifact.name }} [artifact]
+layout: artifact
+title: {{ artifact.name }}
+excerpt: A {{ artifact.type }}-type anvi'o artifact. This artifact {% if artifact.provided_by_anvio and not artifact.provided_by_user %}is typically generated, used, and/or exported by anvi'o (and not provided by the user).{% elif not artifact.provided_by_anvio and artifact.provided_by_user %}is typically provided by the user for anvi'o to import into its databases, process, and/or use{% else %}can be generated, used, and/or exported by anvi'o. It can also be provided **by the user** for anvi'o to import into its databases, process, and/or use{% endif %}.
 categories: [anvio]
 comments: false
 redirect_from: /{{ meta.version_short_identifier }}/{{ artifact.name }}
diff --git a/anvio/data/static/template/pan-index.tmpl b/anvio/data/static/template/pan-index.tmpl
index 3af0e78556..ac15ec429b 100644
--- a/anvio/data/static/template/pan-index.tmpl
+++ b/anvio/data/static/template/pan-index.tmpl
@@ -27,19 +27,19 @@
             <div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1">
                 <ul class="nav navbar-nav">
                     <li>
-                        <a href="http://merenlab.org/projects/anvio">Anvi'o Project Page</a>
+                        <a href="http://anvio.org">Anvi'o Project Page</a>
                     </li>
                     <li>
-                        <a href="https://github.com/meren/anvio">Anvi'o Repository</a>
+                        <a href="https://github.com/merenlab/anvio">Anvi'o Repository</a>
                     </li>
                     <li>
-                        <a href="https://github.com/meren/anvio/issues">Report an Issue</a>
+                        <a href="https://github.com/merenlab/anvio/issues">Report an Issue</a>
                     </li>
                     <li>
-                        <a href="http://merenlab.org/people">Contact</a>
+                        <a href="http://anvio.org/#people">Contact</a>
                     </li>
                     <li>
-                        <a href="https://github.com/meren/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
+                        <a href="https://github.com/merenlab/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
                     </li>
                 </ul>
             </div>
diff --git a/anvio/data/static/template/profile-index-mini.tmpl b/anvio/data/static/template/profile-index-mini.tmpl
index 2c8abf32cc..c641fd228d 100644
--- a/anvio/data/static/template/profile-index-mini.tmpl
+++ b/anvio/data/static/template/profile-index-mini.tmpl
@@ -27,19 +27,19 @@
             <div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1">
                 <ul class="nav navbar-nav">
                     <li>
-                        <a href="http://merenlab.org/projects/anvio">Anvi'o Project Page</a>
+                        <a href="http://anvio.org">Anvi'o Project Page</a>
                     </li>
                     <li>
-                        <a href="https://github.com/meren/anvio">Anvi'o Repository</a>
+                        <a href="https://github.com/merenlab/anvio">Anvi'o Repository</a>
                     </li>
                     <li>
-                        <a href="https://github.com/meren/anvio/issues">Report an Issue</a>
+                        <a href="https://github.com/merenlab/anvio/issues">Report an Issue</a>
                     </li>
                     <li>
-                        <a href="http://merenlab.org/people">Contact</a>
+                        <a href="http://anvio.org/#people">Contact</a>
                     </li>
                     <li>
-                        <a href="https://github.com/meren/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
+                        <a href="https://github.com/merenlab/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
                     </li>
                 </ul>
             </div>
diff --git a/anvio/data/static/template/profile-index.tmpl b/anvio/data/static/template/profile-index.tmpl
index e9961cc8ac..a39c3ffee5 100644
--- a/anvio/data/static/template/profile-index.tmpl
+++ b/anvio/data/static/template/profile-index.tmpl
@@ -27,19 +27,19 @@
             <div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1">
                 <ul class="nav navbar-nav">
                     <li>
-                        <a href="http://merenlab.org/projects/anvio">Anvi'o Project Page</a>
+                        <a href="http://anvio.org">Anvi'o Project Page</a>
                     </li>
                     <li>
-                        <a href="https://github.com/meren/anvio">Anvi'o Repository</a>
+                        <a href="https://github.com/merenlab/anvio">Anvi'o Repository</a>
                     </li>
                     <li>
-                        <a href="https://github.com/meren/anvio/issues">Report an Issue</a>
+                        <a href="https://github.com/merenlab/anvio/issues">Report an Issue</a>
                     </li>
                     <li>
-                        <a href="http://merenlab.org/people">Contact</a>
+                        <a href="http://anvio.org/#people">Contact</a>
                     </li>
                     <li>
-                        <a href="https://github.com/meren/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
+                        <a href="https://github.com/merenlab/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
                     </li>
                 </ul>
             </div>
diff --git a/anvio/data/static/template/program.tmpl b/anvio/data/static/template/program.tmpl
index fa072dbe1d..96a462490f 100644
--- a/anvio/data/static/template/program.tmpl
+++ b/anvio/data/static/template/program.tmpl
@@ -1,6 +1,7 @@
 ---
-layout: page
-title: {{ program.name }} [program]
+layout: program
+title: {{ program.name }}
+{% if program.description %}excerpt: An anvi'o program. {{ program.description | striptags | get_first_sentence | slice:250 }}.{% endif %}
 categories: [anvio]
 comments: false
 redirect_from: /{{ meta.version_short_identifier }}/{{ program.name }}
diff --git a/anvio/data/static/template/programs_and_artifacts_index.tmpl b/anvio/data/static/template/programs_and_artifacts_index.tmpl
index b49a866c21..45fa8c0c1d 100644
--- a/anvio/data/static/template/programs_and_artifacts_index.tmpl
+++ b/anvio/data/static/template/programs_and_artifacts_index.tmpl
@@ -1,5 +1,5 @@
 ---
-layout: page
+layout: help
 title: Help pages for anvi'o programs and artifacts
 categories: [anvio]
 comments: false
@@ -12,13 +12,9 @@ redirect_from:
 
 Here you will find a list of all anvi'o programs and artifacts that enable constructing workflows for integrated multi 'omics investigations.
 
-If you need an introduction to the terminology used in 'omics research or in anvi'o, please take a look at <a href="http://merenlab.org/vocabulary/">our vocabulary page</a>. The anvi'o community is with you! If you have practical, technical, or science questions <a href="http://merenlab.org/2019/10/07/getting-help/">this page</a> to learn about resources available to you. If you are feeling overwhelmed, you can always scream towards the anvi'o Slack channel.
+If you need an introduction to the terminology used in 'omics research or in anvi'o, please take a look at <a href="http://merenlab.org/vocabulary/">our vocabulary page</a>. The anvi'o community is with you! If you have practical, technical, or science questions <a href="http://merenlab.org/2019/10/07/getting-help/">this page</a> to learn about resources available to you. If you are feeling overwhelmed, you can always scream towards the anvi'o {% verbatim %}{% include _slack_invitation_button.html %}{% endverbatim %}
 
-{% verbatim %}
-{% include _join-anvio-slack.html %}
-{% endverbatim %}
-
-<a href="/software/anvio/network/" target="_blank"><img src="/images/anvio-network.png" width="100%" /></a>
+<a href="/network/" target="_blank"><img src="/images/anvio-network.png" width="100%" /></a>
 
 {:.notice}
 The help contents were last updated on **{{ meta|lookup:"date" }}** for anvi'o version **{{ meta|lookup:"version" }}**.
diff --git a/anvio/data/static/template/saavs-index.tmpl b/anvio/data/static/template/saavs-index.tmpl
index 0f3bf7add6..ad62867958 100644
--- a/anvio/data/static/template/saavs-index.tmpl
+++ b/anvio/data/static/template/saavs-index.tmpl
@@ -27,19 +27,19 @@
             <div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1">
                 <ul class="nav navbar-nav">
                     <li>
-                        <a href="http://merenlab.org/projects/anvio">Anvi'o Project Page</a>
+                        <a href="http://anvio.org">Anvi'o Project Page</a>
                     </li>
                     <li>
-                        <a href="https://github.com/meren/anvio">Anvi'o Repository</a>
+                        <a href="https://github.com/merenlab/anvio">Anvi'o Repository</a>
                     </li>
                     <li>
-                        <a href="https://github.com/meren/anvio/issues">Report an Issue</a>
+                        <a href="https://github.com/merenlab/anvio/issues">Report an Issue</a>
                     </li>
                     <li>
-                        <a href="http://merenlab.org/people">Contact</a>
+                        <a href="http://anvio.org/#people">Contact</a>
                     </li>
                     <li>
-                        <a href="https://github.com/meren/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
+                        <a href="https://github.com/merenlab/anvio/releases">Anvi'o version: {{ meta|lookup:"anvio_version" }}</a>
                     </li>
                 </ul>
             </div>
diff --git a/anvio/db.py b/anvio/db.py
index f2b6119fa0..b400a9bed9 100644
--- a/anvio/db.py
+++ b/anvio/db.py
@@ -157,11 +157,11 @@ def check_if_db_writable(self):
         while(check_counter < check_limit and filesnpaths.is_file_exists(journal_path, dont_raise=True)):
             if check_counter == 0:
                 # print only once
-                self.run.info_single("It seems the database at '%s' currently used by another proccess "
+                self.run.info_single("It seems the database at '%s' currently used by another process "
                               "for writing operations. Anvi'o refuses to work with this database to avoid corrupting it. "
                               "If you think this is a mistake, you may stop this process and delete the lock file at '%s' after making sure "
-                              "no other active process using it for writing. In case this program is ran by automatic workflow manager like snakemake "
-                              "Anvi'o will periodically check if the journal file still exists for total of %d minutes. If database is still not writable "
+                              "no other active process is using it for writing. In case this program is run by an automatic workflow manager like snakemake "
+                              "Anvi'o will periodically check if the journal file still exists for total of %d minutes. If the database is still not writable "
                               "after that time, Anvi'o will stop running. " % (os.path.abspath(self.db_path), os.path.abspath(journal_path), int(check_limit/60)))
 
             time.sleep(check_interval)
diff --git a/anvio/docs/artifacts/bin.md b/anvio/docs/artifacts/bin.md
index bc5cba50de..14c7976ab4 100644
--- a/anvio/docs/artifacts/bin.md
+++ b/anvio/docs/artifacts/bin.md
@@ -1,22 +1,7 @@
-A bin is, in its simplest form, **a group of contigs**.  (Think of a literal bin that you're putting data into.)
+In its simplest form, **a group of items** that are put together. Think of a literal bin in which you put data. One or more bins in anvi'o form a %(collection)s.
 
-In Anvi'o, you'll most commonly work with bins both in this form and in the form of %(internal-genomes)s, espeically when you want to work with bins contained in more than one %(profile-db)s. A group of bins is called a %(collection)s.
+In anvi'o, a bin may reprsent one or more contigs, or gene clusters, or any item that can be shown in the interactive interface and stored in a %(profile-db)s, %(pan-db)s, or %(genes-db)s.
 
-## What can you use bins for?
+Bin names become handy to specifically target a group of items to investigate via programs such as %(anvi-refine)s or %(anvi-split)s, specify a group of contigs in files such as %(internal-genomes)s, or find them in output files anvi'o generates via programs such as %(anvi-summarize)s or %(anvi-estimate-genome-completeness)s.
 
-### Bins are all over 'omics
-In general, you can also use bins and %(collection)ss to limit what you are analyzing downstream. A ton of anvi'o programs are able to take in a bin or a collection (a group of bins) so that you don't have to analyze your entire %(contigs-db)s when you just want to look at one section. This is true of many, many anvi'o analyses you can run, from %(anvi-estimate-metabolism)s to %(anvi-get-sequences-for-hmm-hits)s.
-
-Below are some more specific examples of binning in action!
-
-### Metagenomic binning
-A common use of binning is in **metagenomics**. See [this tutorial](http://merenlab.org/2016/06/22/anvio-tutorial-v2/) for details, but essentially, the data you're working with in metagenomics is a sample of all of the genetic material in an environmental sample. It's like pulling a bunch of random DNA fragments out of a bucket of ocean water. If you want to try to rebuild the individual genomes from that mess, one common strategy is to piece together genomes de novo by trying to group the contigs together. This is called genome-resolved metagenomic binning.
-
-Basically, in metagenomic binning, you're trying to group together a bunch of contigs that all belong to the same genome using various metrics like tetranucleotide frequency, differential coverage, completion, etc. You can do this either using various algorithms (for instance, those used by %(anvi-cluster-contigs)s) or manually through the interactive interface (%(anvi-interactive)s). In this type of binning, a lot of your bins will be complete metagenome-assembled genomes, or MAGs; however, if you find an interesting group of contigs (for example, a prophage or a plasmid or even a particular domain), you can also put that into a bin. Then, you can group these bins in different ways using %(collection)ss.
-
-For more information, you might want to watch [this lovely lecture on genome-resolved metagenomics](https://www.youtube.com/watch?v=RjNdHGK4ruo).
-
-### Pangenomic Workflows
-You can also use bins to group together gene clusters. This is useful if you want a specific group of contigs to remain together through your entire analysis. Just provide your %(internal-genomes)s file to %(anvi-gen-genomes-storage)s.
-
-Wow, this binning thing seems BINcredible! (not sorry)
+Since they are a part of the umbrella concept %(collection)s, information about bins are stored in various anvi'o databases, each of which can be used with the program %(anvi-show-collections-and-bins)s to see the bin content.
diff --git a/anvio/docs/artifacts/collection-txt.md b/anvio/docs/artifacts/collection-txt.md
index f3ba00f6f2..96fabb01d4 100644
--- a/anvio/docs/artifacts/collection-txt.md
+++ b/anvio/docs/artifacts/collection-txt.md
@@ -1,4 +1,6 @@
-This is a two-column TAB-delimited file without a header that describes a %(collection)s by associating items with bin names. It can be used to import or export collections in and out of anvi'o databases, and/or transferring them between anvi'o projects. 
+A two-column TAB-delimited file **without a header** that describes a %(collection)s by associating items with %(bin)s names.
+
+It can be used to import or export collections in and out of anvi'o databases, and/or transferring them between anvi'o projects seamlessly.
 
 The first column in the file lists item names and the second column associates a given item with a bin. 
 
@@ -16,14 +18,14 @@ item_06    bin_3
 In addition to the essential file above, you can associate an optional TAB-delmited file with three columns with a collection to provide information about 'bins' in it, such as their source, and/or color to be used when they are displayed in %(summary)s outputs or anvi'o %(interactive)s interfaces. Here is an example:
 
 ```
-bin_1	N/A	 #c9d433
-bin_2	N/A	 #e86548
-bin_3	N/A	 #0b8500
+bin_1	CONCOCT	 #c9d433
+bin_2	CONCOCT	 #e86548
+bin_3	anvi-refine	 #0b8500
 ```
 
-In this file format the first column is a bin name, the second column is a source, and the third column is an HTML color.
+In this file format, the first column is a bin name, the second column is a source, and the third column is an HTML color.
 
 {:.notice}
 The source is a free form text and can be anything. We often use `anvi-interactive` or `CONCOCT` or `anvi-refine` for our bins to track which ones were manually refined, and which ones were coming from an automated binning algorithm.
 
-You can provide this optional file to the program %(anvi-import-collection)s with the parameter `--bins-info`.
\ No newline at end of file
+You can provide this optional file to the program %(anvi-import-collection)s with the parameter `--bins-info`.
diff --git a/anvio/docs/artifacts/collection.md b/anvio/docs/artifacts/collection.md
index 1f802aeca1..ed96953252 100644
--- a/anvio/docs/artifacts/collection.md
+++ b/anvio/docs/artifacts/collection.md
@@ -1,12 +1,7 @@
-Essentially, a collection **is a group of %(bin)ss**.
+An anvi'o concept that describes one or more %(bin)ss.
 
-You can use collections to represent all kinds of things. The default collection (that you'll get by running %(anvi-script-add-default-collection)s) is called DEFAULT and contains all of your contigs. However, you can put any group of bins into their own collection, and use that to limit what you're analyzing downstream. A ton of anvi'o programs are able to take in a bin or a collection so that you don't have to analyze your entire contigs-db when you just want to look at one section. 
+You can generate and store a collection by selecting items on any anvi'o %(interactive)s interface or by importing them via %(anvi-import-collection)s into any anvi'o database that can store collections using the file format %(collection-txt)s.
 
-To look at the collections contained within an Anvi'o database, just run %(anvi-show-collections-and-bins)s. Or, to look at the completion estimates for all bins within a collection, use %(anvi-estimate-genome-completeness)s.
-
-To view the content within a collection, use %(anvi-summarize)s.
-
-### Examples of collections in action
-
-If your bins represent MAGs, you could use a collection to group related MAGs together. For example, you could group together genomes from the same population, or from the same taxonomic order. Or your could go even wider and have a collection for all of the Archaea genomes in your sample. You're not limited by taxonomy either. You could go wild and have a collection for all of your bins that you suspect are prophages. 
+You can always use the program %(anvi-show-collections-and-bins)s to list all collections and bins stored in a given anvi'o database.
 
+Collections are used in many ways in anvi'o depending on your workflow as you can see from the number of programs that require or can make use of the concept %(collection)s.
diff --git a/anvio/docs/artifacts/contigs-db.md b/anvio/docs/artifacts/contigs-db.md
index 926f70dbb5..cb717612d9 100644
--- a/anvio/docs/artifacts/contigs-db.md
+++ b/anvio/docs/artifacts/contigs-db.md
@@ -2,7 +2,7 @@ A contigs database is an anvi'o database that **contains key information associa
 
 In a way, **an anvi'o contigs database is a modern, more talented form of a FASTA file**, where you can store additional information about your sequences in it and others can query and use it. Information storage and access is primarily done by anvi'o programs, however, it can also be done through the command line interface or programmatically.
 
-The information a contigs database contains about its sequences include the positions of open reading frames, tetra-nucleotide frequencies, functional and taxonomic annotations, information on individual nucleotide or amino acid positions, and more.
+The information a contigs database contains about its sequences can include the positions of open reading frames, tetra-nucleotide frequencies, functional and taxonomic annotations, information on individual nucleotide or amino acid positions, and more.
 
 Here is a graphic that shows what sort of information goes into the contigs database (and also the %(profile-db)s):
 
diff --git a/anvio/docs/artifacts/dna-sequence.md b/anvio/docs/artifacts/dna-sequence.md
new file mode 100644
index 0000000000..4de426a420
--- /dev/null
+++ b/anvio/docs/artifacts/dna-sequence.md
@@ -0,0 +1,3 @@
+A single sequence in DNA alphabet that is **not** stored in or provided by a standard file, such as a %(fasta)s file.
+
+A typical sequence artifact in the anvi'o ecosystem will be provided by the user to a sequence accepting program through the command line, or will be printed out into the terminal environment by a program that provides it.
diff --git a/anvio/docs/artifacts/enzymes-txt.md b/anvio/docs/artifacts/enzymes-txt.md
new file mode 100644
index 0000000000..4575730bae
--- /dev/null
+++ b/anvio/docs/artifacts/enzymes-txt.md
@@ -0,0 +1,43 @@
+This artifact is a TAB-delimited file that describes a set of enzymes.
+
+The user can generate this file to define an arbitrary set of enzymes that they want to estimate metabolism on, using the program %(anvi-estimate-metabolism)s.
+
+
+## Minimal file format
+
+Each row (besides the header) in this file represents one enzyme in the set. At minimum, the file must contain three columns:
+- a `gene_id` column containing a _unique_ value to identify a gene for the enzyme. The value can be either a string (like a gene name) or an integer (like a gene callers id), but it has to be unique because sometimes multiple genes can have the same enzyme annotation.
+- an `enzyme_accession` column containing the accession of the enzyme, such as a KEGG Ortholog accession for KOfams, a COG accession for NCBI COGs, a Pfam, etc
+- a `source` column containing the name of the database that would be used to annotate the enzyme. For example, "KOfam", "COG20_FUNCTION", "Pfam", etc.
+
+{: .notice}
+Ideally, all annotation sources in this column would match to those used to define the metabolic pathways you are estimating completeness for (whether those are [KEGG Modules](https://www.genome.jp/kegg/module.html) or user-defined modules as in %(user-modules-data)s, but in practice, we don't currently check for this. If you include some enzymes that are not part of any metabolic modules, they simply will not contribute to the completeness scores of any pathways, and you would therefore only see them in "hits" mode output files.
+So the `source` column is (at this time) mostly for you to make sure you know which database these enzymes are coming from and that at least some (hopefully most) will actually be part of the metabolic pathways you are interested, because otherwise the results from %(anvi-estimate-metabolism)s might not make much sense. However, you do have complete freedom to define the 'source' value arbitrarily, if you want. But please keep in mind that this may change in the very near future - one day these `source` values might actually matter for the functioning of %(anvi-estimate-metabolism)s (in which case this documentation will be updated to reflect that). So it is best to get used to setting them properly. :)
+
+## Minimal file example
+
+Here is an example file with the minimum set of columns:
+
+|**gene_id**|**enzyme_accession**|**source**|
+|:--|:--|:--|
+|aad:TC41_3038|K02886|KOfam|
+|aca:ACP_1744|K02626|KOfam|
+|aco:Amico_1604|K00606|KOfam|
+|ade:Adeh_0623|K02669|KOfam|
+
+## Adding gene coverage and detection values
+
+If you want downstream programs like %(anvi-estimate-metabolism)s to have access to the coverage and detection data for each enzyme (well, technically, its gene), then you can add two additional columns to this file:
+- the  `coverage` column should contain the numerical coverage value for the gene encoding the enzyme
+- the `detection` column should contain the numerical detection value for the gene encoding the enzyme
+
+If these columns are included, you can use the `--add-coverage` flag with %(anvi-estimate-metabolism)s so that this data is included in the output for each metabolic pathway and/or enzyme. However, you do need to include _both_ of the columns - that program does not currently support adding just coverage or just detection.
+
+## Example with coverage and detection
+
+|**gene_id**|**enzyme_accession**|**source**|**coverage**|**detection**|
+|:--|:--|:--|:--|:--|
+|aad:TC41_3038|K02886|KOfam|4.44|0.7862318840579711|
+|aca:ACP_1744|K02626|KOfam|4.522875816993464|0.7790055248618785|
+|aco:Amico_1604|K00606|KOfam|2.63953488372093|0.8063380281690141|
+|ade:Adeh_0623|K02669|KOfam|2.011764705882353|0.6639344262295082|
diff --git a/anvio/docs/artifacts/external-genomes.md b/anvio/docs/artifacts/external-genomes.md
index c3d5d761f7..ae9c46dc04 100644
--- a/anvio/docs/artifacts/external-genomes.md
+++ b/anvio/docs/artifacts/external-genomes.md
@@ -21,12 +21,4 @@ The format of the file should look like this:
 {:.warning}
 Please make sure names in the `name` column does not include any special characters (underscore is fine). It is also a good idea to keep these names short and descriptive as they will appear in various figures in downstream analyses.
 
-## Additional columns
-
-In some cases additional columns may be required to be in this file. Below is a table of the possible columns you may need.
-
-| header | description | required for |
-|----|----|----|
-| group | which group the genome belongs to (can be empty) | %(anvi-compute-functional-enrichment)s |
-
 Also see **%(internal-genomes)s** and **%(metagenomes)s**.
diff --git a/anvio/docs/artifacts/external-structures.md b/anvio/docs/artifacts/external-structures.md
new file mode 100644
index 0000000000..b1949055f5
--- /dev/null
+++ b/anvio/docs/artifacts/external-structures.md
@@ -0,0 +1,19 @@
+By default, anvi'o predicts protein structures using MODELLER when creating a %(structure-db)s. Yet, if the user provides an external structures file, then anvi'o does not perform template-based homology modelling, and instead uses this file to obtain the structure information for the %(structure-db)s.
+
+External structures is a user-provided TAB-delimited file that should follow this format:
+
+|gene_callers_id|path|
+|:---:|:---|
+|1|path/to/gene1/structure.pdb|
+|2|path/to/gene2/structure.pdb|
+|3|path/to/gene3/structure.pdb|
+|4|path/to/gene4/structure.pdb|
+|7|path/to/gene5/structure.pdb|
+|8|path/to/gene6/structure.pdb|
+|(...)|(...)|
+
+Each path should point to a %(protein-structure-txt)s.
+
+{:.notice}
+Please note that anvi'o will try its best to test the integrity of each file, and work with any limitations, however ultimately the user may be subject to the strict requirements set forth by anvi'o. For example, if a structure has a missing residue, you will hear about it.
+
diff --git a/anvio/docs/artifacts/fasta.md b/anvio/docs/artifacts/fasta.md
index 78fee1f994..b65d45a638 100644
--- a/anvio/docs/artifacts/fasta.md
+++ b/anvio/docs/artifacts/fasta.md
@@ -1,16 +1,17 @@
-A FASTA-formatted file that does not necessarily meet the standards of a %(contigs-fasta)s.
+A [FASTA](https://en.wikipedia.org/wiki/FASTA_format) file that does not necessarily meet the standards of a %(contigs-fasta)s. While it is not necessary for all programs, if a given anvi'o program requires a %(contigs-fasta)s, the program %(anvi-script-reformat-fasta)s can turn a regular fasta into a %(contigs-fasta)s with the flag `--simplify-names`.
 
-%(anvi-script-reformat-fasta)s can turn a regular fasta into a %(contigs-fasta)s, which anvi'o will be able to utilize better.
+### What is a FASTA file?
 
-### But what is a FASTA file? 
+A FASTA file typically contains one or more DNA, RNA, or amino acid sequences that are formatted as follows:
 
-A FASTA file contains sequences (in this case, nucleotide sequences, though they can also describe peptide sequences) that are formatted as follows: 
+```
+>SEQUENCE_ID VARIOUS_SEQUENCE_DATA
+SEQUENCE
+(...)
+```
 
-    >SEQUENCE_ID VARIOUS_SEQUENCE_DATA
-    SEQUENCE
-    
-The `VARIOUS_SEQUENCE_DATA` region can contain data such as the NCBI taxon ID, GI accession number, a text description of the sequence, or the start and end positions if the sequence is a portion of a larger sample. All of this information is optional. 
+The line that starts with the character `>` is also known as the 'defline' for a given sequence. The `VARIOUS_SEQUENCE_DATA` region of the defline can be empty, or contain additional data such as the NCBI taxon ID, GI accession number, a text description of the sequence, or the start and end positions if the sequence is a portion of a larger sample. Because the FASTA file format was designed before there weren't even enough electronic calculators on the planet, there is no actual standard format to organize additional information shared in the defline.
 
-The sequence itself is written in standard IUPAC format (though it can be written in lower-case letters).  
+The sequence itself is typically written in standard [IUPAC format](https://en.wikipedia.org/wiki/Nucleic_acid_notation), although you may find FASTA files with sequences that contain lower-case letter, mixed letters, no letters, or pretty much anything really. Over the years we have seen everything, and suggest you to take a careful look at your FASTA files before doing anything with them unless you generated them yourself.
 
-For a concrete example, you can download sequences from the NCBI database in FASTA format. 
+You can learn more about the FASTA format on its [glorious Wikipedia page](https://en.wikipedia.org/wiki/FASTA_format).
diff --git a/anvio/docs/artifacts/functional-enrichment-txt.md b/anvio/docs/artifacts/functional-enrichment-txt.md
index b4ea04d3c7..a3cc2e993b 100644
--- a/anvio/docs/artifacts/functional-enrichment-txt.md
+++ b/anvio/docs/artifacts/functional-enrichment-txt.md
@@ -1,4 +1,4 @@
-This is a TAB-delimited output file that describes enrichment scores and associated groups for functions or metabolic modules in groups of genomes or samples. It is produced by %(anvi-compute-functional-enrichment)s.
+This is a TAB-delimited output file that describes enrichment scores and associated groups for functions or metabolic modules in groups of genomes or samples.
 
 ## General format
 
@@ -11,14 +11,14 @@ The following columns of information are listed in the file:
 - unadjusted_p_value: the significance value of the hypothesis test for enrichment, unadjusted for multiple hypothesis testing
 - adjusted_q_value: the adjusted p-value after taking into account multiple hypothesis testing
 - associated groups: the list of groups that this entity is associated with
-- accession: a function accession number or KEGG module number (depends on your input option for %(anvi-compute-functional-enrichment)s)
-- a list of gene cluster ids, sample names, or genome names that this entity is found in (also depends on your input option for %(anvi-compute-functional-enrichment)s)
+- accession: a function accession number or KEGG module number
+- a list of gene cluster ids, sample names, or genome names that this entity is found in
 - p values for each group: gives the proportion of the group's member genomes or samples in which this entity was found.
 - N values for each group: gives the total number of genomes or samples in each group.
 
 ## A specific example - enriched functions in pangenomes
 
-When you run %(anvi-compute-functional-enrichment)s (with input option 1) to compute enrichment scores for functions in a pangenome, the resulting matrix describes the gene cluster-level functional associations that are enriched within specific groups of your pangenome. This is described in more detail [in the pangenomics tutorial](http://merenlab.org/2016/11/08/pangenomics-v2/#making-sense-of-functions-in-your-pangenome).
+When you run %(anvi-compute-functional-enrichment-in-pan)s to compute enrichment scores for functions in a pangenome, the resulting matrix describes the gene cluster-level functional associations that are enriched within specific groups of your pangenome. This is described in more detail [in the pangenomics tutorial](http://merenlab.org/2016/11/08/pangenomics-v2/#making-sense-of-functions-in-your-pangenome).
 
 Here is a more concrete example (the same example as in the [pangenomics tutorial](http://merenlab.org/2016/11/08/pangenomics-v2/#making-sense-of-functions-in-your-pangenome)). Note that that tutorial uses `COG_FUNCTION` as the functional annotation source, and has `LL` (low light) and `HL` (high light) as the two pan-groups.
 
diff --git a/anvio/docs/artifacts/groups-txt.md b/anvio/docs/artifacts/groups-txt.md
index 6c75d03f25..5d699cea1e 100644
--- a/anvio/docs/artifacts/groups-txt.md
+++ b/anvio/docs/artifacts/groups-txt.md
@@ -12,4 +12,4 @@ Here is an example %(groups-txt)s file:
 |(...)|(...)|
 
 {:.warning}
-If you are passing this file to the program %(anvi-compute-functional-enrichment)s with the "INPUT OPTION #2: ESTIMATED METABOLISM", the names in the `sample` column must match those in the "modules" mode output file that you provide to the %(anvi-compute-functional-enrichment)s program via the `--modules-txt` parameter. If you know that the sample names match but you are still getting errors, you might need to specify which column in the "modules" mode output contains those sample names using the `--sample-header` parameter of %(anvi-compute-functional-enrichment)s.
+If you are passing this file to the program %(anvi-compute-metabolic-enrichment)s, the names in the `sample` column must match those in the "modules" mode output file that you provide to the program via the `--modules-txt` parameter. If you know that the sample names match but you are still getting errors, you might need to specify which column in the "modules" mode output contains those sample names using the `--sample-header` parameter.
diff --git a/anvio/docs/artifacts/internal-genomes.md b/anvio/docs/artifacts/internal-genomes.md
index 680b68ee11..935c25bc94 100644
--- a/anvio/docs/artifacts/internal-genomes.md
+++ b/anvio/docs/artifacts/internal-genomes.md
@@ -14,12 +14,4 @@ The internal-genomes file is a TAB-delimited file with at least the following fi
 {:.warning}
 Please make sure names in the `name` column does not include any special characters (underscore is fine). It is also a good idea to keep these names short and descriptive as they will appear in various figures in downstream analyses.
 
-## Additional columns
-
-In some cases additional columns may be required to be in this file. Below is a table of the possible columns you may need.
-
-| header | description | required for |
-|----|----|----|
-| group | name of the group that the genome belongs to (can be empty) | %(anvi-compute-functional-enrichment)s |
-
 Also see **%(external-genomes)s** and **%(metagenomes)s**.
diff --git a/anvio/docs/artifacts/kegg-metabolism.md b/anvio/docs/artifacts/kegg-metabolism.md
index 9dc6b15516..478cd1ab32 100644
--- a/anvio/docs/artifacts/kegg-metabolism.md
+++ b/anvio/docs/artifacts/kegg-metabolism.md
@@ -2,16 +2,18 @@ Output text files produced by %(anvi-estimate-metabolism)s that describe the pre
 
 Depending on the output options used when running %(anvi-estimate-metabolism)s, these files will have different formats. This page describes and provides examples of the various output file types.
 
+Please note that the examples below show only KEGG data, but user-defined metabolic pathways (%(user-metabolism)s) can also be included in this output!
+
 ### How to get to this output
 ![A beautiful workflow of metabolism reconstruction in anvi'o](../../images/metabolism_reconstruction.png)
 
 ## Long-format output modes
 
-The long-format output option produces tab-delimited files. Each line in the file (except for the header) is indexed by an integer in the `unique_id` column. Different output "modes" will result in output files with different information.
+The long-format output option produces tab-delimited files. Different output "modes" will result in output files with different information.
 
 ### 'Modules' Mode
 
-The `modules` mode output file will have the suffix `modules.txt`. Each line in the file will represent information about a KEGG module in a given genome, bin, or contig of a metagenome assembly. Here is one example, produced by running metabolism estimation on the [Infant Gut dataset](http://merenlab.org/tutorials/infant-gut/):
+The 'modules' mode output file will have the suffix `modules.txt`. Each line in the file will represent information about a metabolic module in a given genome, bin, or contig of a metagenome assembly. Here is one example, produced by running metabolism estimation on the _Enterococcus_ external genomes in the [Infant Gut dataset](http://merenlab.org/tutorials/infant-gut/):
 
 |**module**|**genome_name**|**db_name**|**module_name**|**module_class**|**module_category**|**module_subcategory**|**module_definition**|**stepwise_module_completeness**|**stepwise_module_is_complete**|**pathwise_module_completeness**|**pathwise_module_is_complete**|**proportion_unique_enzymes_present**|**enzymes_unique_to_module**|**unique_enzymes_hit_counts**|**enzyme_hits_in_module**|**gene_caller_ids_in_module**|**warnings**|
 |:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|:--|
@@ -22,7 +24,8 @@ The `modules` mode output file will have the suffix `modules.txt`. Each line in
 
 What are the data in each of these columns?
 
-- `unique_id`: a unique integer to identify the row
+- `module`: the module identifier for a metabolic pathway (from the KEGG MODULE database or from user-defined modules)
+- `genome_name`/`bin_name`/`contig_name`: the identifier for the current sample, whether that is a genome, bin, or contig from a metagenome assembly
 - `db_name`: the name of the contigs database from which this data comes (only appears in output from multi-mode, in which multiple DBs are processed at once)
 - `module_name`/`module_class`/`module_category`/`module_subcategory`/`module_definition`: metabolic pathway information, from the KEGG MODULE database or from user-defined metabolic modules
 - `stepwise_module_completeness`/`pathwise_module_completeness`: a fraction between 0 and 1 indicating the proportion of steps in the metabolic pathway that have an associated enzyme annotation. There are currently two strategies for defining the 'steps' in a metabolic pathway - 'stepwise' and 'pathwise'. To learn how these numbers are calculated, see [the anvi-estimate-metabolism help page](https://anvio.org/help/main/programs/anvi-estimate-metabolism/#technical-details)
@@ -142,24 +145,24 @@ Note that in this output mode, `stepwise_module_completeness` and `stepwise_modu
 
 If you use the flag `--add-copy-number`, this output mode will gain an additional column, `step_copy_number`, which describes the number of copies of the current step. To calculate this value, we look at the number of annotations for each alternative enzyme in the step and figure out how many different versions of the step we can make by combining different annotations. For more details, check out [the anvi-estimate-metabolism help page](https://anvio.org/help/main/programs/anvi-estimate-metabolism/#how-is-stepwise-completenesscopy-number-calculated).
 
-### 'KOfam Hits' Mode
+### Enzyme 'Hits' Mode
 
-The `kofam_hits` output file will have the suffix `kofam_hits.txt`. Unlike the previous mode, this output will include ALL KO hits, regardless of whether the KO belongs to a KEGG Module or not. However, since only a subset of these KOs belong to modules, this output does not include module-related information like paths and module completeness.
+The 'hits' output file will have the suffix `hits.txt`. Unlike the previous mode, this output will include ALL enzyme hits (from all annotation sources used for metabolism estimation), regardless of whether the enzyme belongs to a metabolic module or not. Since only a subset of these enzymes belong to modules, this output does not include module-related information like paths and module completeness.
 
 Here is an example of this output mode (also from the Infant Gut dataset):
 
-unique_id | db_name | genome_name | ko | gene_caller_id | contig | modules_with_ko | definition
-|:--|:--|:--|:--|:--|:--|:--|:--|
-0 | E_faecalis_6240 | Enterococcus_faecalis_6240 | K00845 | 1608 | Enterococcus_faecalis_6240_contig_00003_chromosome | M00001,M00549,M00892,M00909 | glucokinase [EC:2.7.1.2]
-1 | E_faecalis_6240 | Enterococcus_faecalis_6240 | K01810 | 600 | Enterococcus_faecalis_6240_contig_00003_chromosome | M00001,M00004,M00114,M00892,M00909 | glucose-6-phosphate isomerase [EC:5.3.1.9]
-2 | E_faecalis_6240 | Enterococcus_faecalis_6240 | K00850 | 225 | Enterococcus_faecalis_6240_contig_00003_chromosome | M00001,M00345 | 6-phosphofructokinase 1 [EC:2.7.1.11]
-(...) |(...)|(...)|(...)|(...)|(...)|(...)|(...)|
+enzyme | genome_name | db_name | gene_caller_id | contig | modules_with_enzyme | enzyme_definition
+|:--|:--|:--|:--|:--|:--|:--|
+K25026 | Enterococcus_faecalis_6240 | E_faecalis_6240 | 1608 | Enterococcus_faecalis_6240_contig_00003_chromosome | M00001,M00549,M00909 | glucokinase [EC:2.7.1.2]
+K01810 | Enterococcus_faecalis_6240 | E_faecalis_6240 | 600 | Enterococcus_faecalis_6240_contig_00003_chromosome | M00001,M00004,M00892,M00909 | glucose-6-phosphate isomerase [EC:5.3.1.9]
+K00850 | Enterococcus_faecalis_6240 | E_faecalis_6240 | 225 | Enterococcus_faecalis_6240_contig_00003_chromosome | M00001,M00345 | 6-phosphofructokinase 1 [EC:2.7.1.11]
+(...) |(...)|(...)|(...)|(...)|(...)|(...)|
 
 Here are the descriptions of any new columns not yet discussed in the previous sections:
 
-- `ko`: a KO that was annotated in the contigs database
-- `modules_with_ko`: the KEGG modules (if any) that this KO belongs to
-- `definition`: the function of this KO (typically the enzyme name and EC number)
+- `enzyme`: an enzyme that was annotated in the contigs database
+- `modules_with_enzyme`: the modules (if any) that this enzyme belongs to
+- `enzyme_definition`: the function of this enzyme (often includes the enzyme name and EC number)
 
 **Coverage and detection values in the output**
 
diff --git a/anvio/docs/artifacts/modifications-txt.md b/anvio/docs/artifacts/modifications-txt.md
new file mode 100644
index 0000000000..fb43450574
--- /dev/null
+++ b/anvio/docs/artifacts/modifications-txt.md
@@ -0,0 +1,24 @@
+This tabular file contains data on predicted modifications in tRNA-seq seeds.
+
+This file is produced by %(anvi-tabulate-trnaseq)s. The artifact for that program describes this and related tables in detail.
+
+This tab-delimited file can be easily manipulated by the user. It is required input for %(anvi-plot-trnaseq)s.
+
+## Example
+
+The modifications shown in this table are from the seeds represented in the %(seeds-specific-txt)s and %(seeds-non-specific-txt)s example tables.
+
+| gene_callers_id | contig_name | anticodon | aa | domain | phylum | class | order | family | genus | species | taxon_percent_id | seed_position | ordinal_name | ordinal_position | canonical_position | reference | sample_name | A | C | G | T |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
+0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | 19 | d_loop_beta_1 | 22 | 20 | G | DB_01 | 142 | 589 | 69411 | 1315 |
+0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | 19 | d_loop_beta_1 | 22 | 20 | G | DB_03 | 217 | 1056 | 83751 | 2592 |
+0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | 19 | d_loop_beta_1 | 22 | 20 | G | DB_05 | 42 | 212 | 28784 | 515 |
+0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | 19 | d_loop_beta_1 | 22 | 20 | G | DB_07 | 102 | 429 | 45633 | 977 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 32 | anticodon_loop_1 | 36 | 32 | T | DB_01 | 0 | 51 | 14 | 77 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 32 | anticodon_loop_1 | 36 | 32 | T | DB_03 | 1 | 274 | 97 | 642 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 32 | anticodon_loop_1 | 36 | 32 | T | DB_05 | 0 | 78 | 17 | 137 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 32 | anticodon_loop_1 | 36 | 32 | T | DB_07 | 0 | 19 | 18 | 87 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 37 | anticodon_loop_6 | 41 | 37 | G | DB_01 | 0 | 1 | 137 | 5 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 37 | anticodon_loop_6 | 41 | 37 | G | DB_03 | 5 | 18 | 916 | 64 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 37 | anticodon_loop_6 | 41 | 37 | G | DB_05 | 6 | 3 | 222 | 7 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | 37 | anticodon_loop_6 | 41 | 37 | G | DB_07 | 0 | 15 | 104 | 1 |
diff --git a/anvio/docs/artifacts/modules-db.md b/anvio/docs/artifacts/modules-db.md
index 3c5dba6813..d5654d90fd 100644
--- a/anvio/docs/artifacts/modules-db.md
+++ b/anvio/docs/artifacts/modules-db.md
@@ -1,14 +1,14 @@
 A type of database containing information from either A) the [KEGG MODULE database](https://www.genome.jp/kegg/module.html) and [KEGG BRITE database](https://www.genome.jp/kegg/brite.html), or B) user-defined metabolic modules, for use in metabolism estimation and/or functional annotation of KEGG Orthologs (KOs).
 
-This database is part of the %(kegg-data)s directory. You can get it on your computer by running %(anvi-setup-kegg-kofams)s. Programs that rely on this database include %(anvi-run-kegg-kofams)s and %(anvi-estimate-metabolism)s.
+These databases are part of the %(kegg-data)s and %(user-modules-data)s directories. You can get one on your computer by running %(anvi-setup-kegg-kofams)s or %(anvi-setup-user-modules)s. Programs that rely on this type of database include %(anvi-run-kegg-kofams)s and %(anvi-estimate-metabolism)s.
 
-Most users will never have to interact directly with this database. However, for the brave few who want to try this (or who are figuring out how anvi'o works under the hood), there is some relevant information below.
+Most users will never have to interact directly with this kind of database. However, for the brave few who want to try this (or who are figuring out how anvi'o works under the hood), there is some relevant information below.
 
 ## Database Contents
 
-### The kegg_modules table
+### The modules table
 
-In the current implementation, data about each metabolic pathway from the KEGG MODULE database is present in the `kegg_modules` table, which looks like this:
+In the current implementation, data about each metabolic pathway (from the KEGG MODULE database, or from user-defined modules) is present in the `modules` table, which looks like this:
 
 | module | data_name | data_value | data_definition | line |
 |:--|:--|:--|:--|:--|
@@ -19,11 +19,13 @@ In the current implementation, data about each metabolic pathway from the KEGG M
 | M00001 | ORTHOLOGY | K12407	| hexokinase/glucokinase [EC:2.7.1.1 2.7.1.2] [RN:R01786] | 4 |
 | (...) | (...) | (...) | (...) | (...) |
 
-These data correspond to the information that can be found on the KEGG website for each metabolic module - for an example, you can see the page for [M00001](https://www.genome.jp/dbget-bin/www_bget?md:M00001) (or, alternatively, its [flat text file version](http://rest.kegg.jp/get/M00001) from the KEGG REST API).
+For the MODULES.db that comes out of %(anvi-setup-kegg-kofams)s, these data correspond to the information that can be found on the KEGG website for each metabolic module - for an example, you can see the page for [M00001](https://www.genome.jp/dbget-bin/www_bget?md:M00001) (or, alternatively, its [flat text file version](http://rest.kegg.jp/get/M00001) from the KEGG REST API).
 
-The `module` column indicates the module ID number while the `data_name` column indicates what type of data the row is describing about the module. These data names are usually fairly self-explanatory - for instance, the `DEFINITION` rows describe the module definition and the `ORTHOLOGY` rows describe the KEGG Orthologs (KOs) belonging to the module - however, for an official explanation, you can check [the KEGG help page](https://www.genome.jp/kegg/document/help_bget_module.html).
+The USER_MODULES.db that comes out of %(anvi-setup-user-modules)s contains similar information, but defined by the user instead of downloaded from the KEGG website.
 
-The `data_value` and `data_definition` columns hold the information corresponding to the row's `data_name`; for `ORTHOLOGY` fields these are the KO number and the KO's functional annotation, respectively. Not all rows have a `data_definition` field.
+In either case, the `module` column indicates the module ID number while the `data_name` column indicates what type of data the row is describing about the module. These data names are usually fairly self-explanatory - for instance, the `DEFINITION` rows describe the module definition and the `ORTHOLOGY` rows describe the enzymes belonging to the module - however, for an official explanation, you can check [the KEGG help page](https://www.genome.jp/kegg/document/help_bget_module.html).
+
+The `data_value` and `data_definition` columns hold the information corresponding to the row's `data_name`; for `ORTHOLOGY` fields these are the enzyme accession number and its functional annotation, respectively. Not all rows have a `data_definition` field.
 
 Finally, some rows of data originate from the same line in the original KEGG MODULE text file; these rows will have the same number in the `line` column. Perhaps this is a useless field. But it is there.
 
@@ -77,18 +79,39 @@ DB Info (no touch also)
 modules_db_hash ..............................: 45b7cc2e4fdc
 ```
 
+### Other important values in the self table
+
+The `data_source` key will tell you if the current database was generated from KEGG data using %(anvi-setup-kegg-kofams)s or from user-defined metabolic modules using %(anvi-setup-user-modules)s.
+
+The `annotation_sources` key will list the functional annotation sources that are required to annotate all enzymes found in the module definitions.
+
+Here is an example of what these fields look like for a KEGG MODULES.db:
+```
+DB Info (no touch also)
+===============================================
+data_source ..................................: KEGG
+annotation_sources ...........................: KOfam
+```
+
+And here is an example of what they look like for a USER_MODULES.db:
+```
+DB Info (no touch also)
+===============================================
+data_source ..................................: USER
+annotation_sources ...........................: KOfam,UpxZ,COG20_FUNCTION
+```
 
 ## Querying the database
 
-If you want to extract information directly from this database, you can do it with a bit of SQL :)
+If you want to extract information directly from a modules database, you can do it with a bit of SQL :)
 
-Here is one example, which obtains the name of every module in the database:
+Here is one example, which obtains the name of every module in the default KEGG database:
 
 ```
 # learn where the MODULES.db is:
 export ANVIO_MODULES_DB=`python -c "import anvio; import os; print(os.path.join(os.path.dirname(anvio.__file__), 'data/misc/KEGG/MODULES.db'))"`
 # get module names:
-sqlite3 $ANVIO_MODULES_DB "select module,data_value from kegg_modules where data_name='NAME'" | \
+sqlite3 $ANVIO_MODULES_DB "select module,data_value from modules where data_name='NAME'" | \
     tr '|' '\t' > module_names.txt
 ```
 
diff --git a/anvio/docs/artifacts/palindromes-txt.md b/anvio/docs/artifacts/palindromes-txt.md
new file mode 100644
index 0000000000..c6317201ec
--- /dev/null
+++ b/anvio/docs/artifacts/palindromes-txt.md
@@ -0,0 +1,42 @@
+A TAB-delimited file of [palindromic sequences](https://en.wikipedia.org/wiki/Palindromic_sequence) reported by %(anvi-search-palindromes)s.
+
+The following example is the output generated by the command below when it was run on %(contigs-db)s of the [Infant Gut Dataset](/tutorials/infant-gut/#downloading-the-pre-packaged-infant-gut-dataset):
+
+{{ codestart }}
+%(anvi-search-palindromes)s -c CONTIGS.db \
+                         --min-palindrome-length 50 \
+                         --max-num-mismatches 1 \
+                         --output-file palindromes.txt
+{{ codestop }}
+
+|sequence_name|length|distance|num_mismatches|first_start|first_end|first_sequence|second_start|second_end|second_sequence|midline|
+|:--|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|
+|Day17a_QCcontig1|48|0|0|195100|195148|AAGAGAAGAGGAGAAGTTCATCCATGGATGAACTTCTCCTCTTCTCTT|195100|195148|AAGAGAAGAGGAGAAGTTCATCCATGGATGAACTTCTCCTCTTCTCTT|`||||||||||||||||||||||||||||||||||||||||||||||||`|
+|Day17a_QCcontig4|147|759|1|268872|269019|TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAAGCTAGAAAAA|269631|269778|TTTCGTAATACTTTTTTGCAGTAGGCATCAAATTGGTGTTGTATAGATTTCTCATTATAATTTTGTTGCATGATAATATGCTCCTTTTTCCCCTTTCCACTAATACAACAATCAGAGAGCCCCTTTTTTTCGAAAAAACTAGAAAAA|`|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||x|||||||||`|
+|Day17a_QCcontig4|53|1956|1|268237|268290|CAGCTGCTTTTGTCAAAAGCACATAGGAATTTCACCTCTCCCCAAGTTTACGG|270193|270246|CAGCTGCTTTTGTCAAAAGCACATAGGAATTTCACCTCTCTCCAAGTTTACGG|`||||||||||||||||||||||||||||||||||||||||x||||||||||||`|
+|Day17a_QCcontig4|66|1956|1|268325|268391|ATCATCACTTTTTATTGACTATAAAAATTATTTTAGAATATTTATCGCTCCTTCTTTACGATAAGA|270281|270347|ATCATCACTTTTTATTGACTATAAAAATTATTTTAGAATGTTTATCGCTCCTTCTTTACGATAAGA|`|||||||||||||||||||||||||||||||||||||||x||||||||||||||||||||||||||`|
+|Day17a_QCcontig4|60|98694|1|16368|16428|AGAACAATTTTCGGAAATTCCTTCTTATTTCTCGGAGTTAAACGCTTCTGTCCCGACCTC|115062|115122|AGAACAATTTTCGGAAATTCCTTCTTATTTCTCGGAGTTAAACACTTCTGTCCCGACCTC|`|||||||||||||||||||||||||||||||||||||||||||x||||||||||||||||`|
+|Day17a_QCcontig16|42|0|0|105735|105777|AAAAAGAACGCTCTTTTGCTTAAGCAAAAGAGCGTTCTTTTT|105735|105777|AAAAAGAACGCTCTTTTGCTTAAGCAAAAGAGCGTTCTTTTT|`||||||||||||||||||||||||||||||||||||||||||`|
+|Day17a_QCcontig23|50|0|0|51287|51337|ATAAATAAACAGAGGCCTTAGAAATATTTCTAAGGCCTCTGTTTATTTAT|51287|51337|ATAAATAAACAGAGGCCTTAGAAATATTTCTAAGGCCTCTGTTTATTTAT|`||||||||||||||||||||||||||||||||||||||||||||||||||`|
+
+In which,
+
+* `sequence_name` is the sequence name on which a given palindrome was found.
+* `length` is the the length of the palindrome.
+* `distance` is the number of nucleotides between the location of the palindromic sequences in the larger seqeunce.
+* `num_mismatches` is the number of actual nucleotides in the palindrome sequence that did not match to its counterpart when the sequence was reverse-complemented.
+* `first_start` is the start position of the first palindrome in the reference sequence.
+* `first_end` is the end position of the first palindrome.
+* `second_start` and `second_end` are just like `first_start` and `first_end` but for the second sequence. For perfect palindromes (i.e., palindromes with zero distance), these values will be identical to their counterparts in the first sequence.
+* `first_sequence` and `second_sequence` are the actual nucleotide sequences of both. They will be identical if number of mismatches are zero. Please note that only the reverse complement of the `second_sequence` will be found in the reference sequnce.
+* `midline` an array of letters that are composed of `|` and `x` characters that show where the matching and mismatching nucleotides were (if any).
+
+**Please note** that the `sequence_name` column may not have unique sequence names if multiple palindromes found on the same sequence (which almost certainly be the case for most searches on circular genomes).
+
+**Please also note** that the `start` and `end` positions are *0-indexed*, which means (1) the first nucleotide in the sequence should be counted as the zeroth element, and (2) if you do this in Python using the example above, you will get the matching palindrome from the larger sequence context:
+
+``` python
+contig_sequences[Day17a_QCcontig1][195100: 195148]
+
+>>> AAGAGAAGAGGAGAAGTTCATCCATGGATGAACTTCTCCTCTTCTCTT
+```
\ No newline at end of file
diff --git a/anvio/docs/artifacts/pan-db.md b/anvio/docs/artifacts/pan-db.md
index 04fff47fa0..1f461e1975 100644
--- a/anvio/docs/artifacts/pan-db.md
+++ b/anvio/docs/artifacts/pan-db.md
@@ -2,7 +2,7 @@ A pan-db is an anvi’o database that contains **key information associated with
 
 This is the output of the program %(anvi-pan-genome)s, which can be run after you've created a %(genomes-storage-db)s with the genomes you want to analyze. That script does the brunt of the pangenomic analysis; it caluclates the similarity between all of the genes in your genomes-storage-db, clusters them and organizes the final clusters. All of the results of that analysis are stored in a pan-db.
 
-You can use a pan database to run a variety of pangenomic analyses, including %(anvi-compute-genome-similarity)s, %(anvi-analyze-synteny)s, and %(anvi-compute-functional-enrichment)s. You can also view and interact with the data in a pan-db using %(anvi-display-pan)s. 
+You can use a pan database to run a variety of pangenomic analyses, including %(anvi-compute-genome-similarity)s, %(anvi-analyze-synteny)s, and %(anvi-compute-functional-enrichment-in-pan)s. You can also view and interact with the data in a pan-db using %(anvi-display-pan)s. 
 
 To add additional information to the pangenome display, you'll probably want to use %(anvi-import-misc-data)s
 
diff --git a/anvio/docs/artifacts/primers-txt.md b/anvio/docs/artifacts/primers-txt.md
new file mode 100644
index 0000000000..947236d1f7
--- /dev/null
+++ b/anvio/docs/artifacts/primers-txt.md
@@ -0,0 +1,18 @@
+A **TAB-delimited** file to describe primer sequences. A primer sequence can be exact (such as `ATCG`), or fuzzy (such as `AT.G`, which would match any combination of `ATAG`, `ATTG`, `ATCG`, or `ATGG`). Fuzzy primers are defined by regular expressions, properties of which are explained best in [the Python documentation](https://docs.python.org/3/library/re.html), or cheatsheets like [this one](https://www.debuggex.com/cheatsheet/regex/python).
+
+This file type includes two required and any number of user-defined optional columns.
+
+The following three columns are **required** for this file type:
+
+* `name`: a single-word name for a given primer,
+* `primer_sequence`: the primer sequence.
+
+### An example primers-txt file
+
+Here is an example file with three primers:
+
+|name|primer_sequence|
+|:--|:--|
+|PR01|AA.A..G..G..G.CCG.C.A.C|
+|PR02|AACACCGCAGTCCATGAGA|
+|PR03|A[TC]A[CG]T[ATC]TCGAGC|
diff --git a/anvio/docs/artifacts/profile-db.md b/anvio/docs/artifacts/profile-db.md
index 6a8e3e0395..a29349d2ac 100644
--- a/anvio/docs/artifacts/profile-db.md
+++ b/anvio/docs/artifacts/profile-db.md
@@ -12,7 +12,7 @@ These terms are explained on the [anvi'o vocabulary page.](http://merenlab.org/v
 
 This information is necessary to run anvi'o programs like %(anvi-cluster-contigs)s, %(anvi-estimate-metabolism)s, and %(anvi-gen-gene-level-stats-databases)s. You can also interact with a profile database using programs like %(anvi-interactive)s.
 
-Technically, "profile-db" refers to a profile database that contains the data from several samples -- in other words, the result of running %(anvi-merge)s on several %(single-profile-db)s. However, since a %(single-profile-db)s has a lot of the functionality of a profile-db, it might be easier to think of a profile database as a header referring to both single-profile-dbs and profile-dbs (which can also be called a merged-profile-dbs). For simplicity sake, since most users are dealing with multiple samples, the name was shortened to just profile-db. The following are a list of differences in functionality between a single profile database and a merged profile database:
+Technically, "profile-db" refers to a profile database that contains the data from several samples -- in other words, the result of running %(anvi-merge)s on several %(single-profile-db)s. However, since a %(single-profile-db)s has a lot of the functionality of a profile-db, it might be easier to think of a profile database as a header referring to both single-profile-dbs and profile-dbs (which can also be called a merged-profile-dbs). For simplicity's sake, since most users are dealing with multiple samples, the name was shortened to just profile-db. The following are a list of differences in functionality between a single profile database and a merged profile database:
 * You can run %(anvi-cluster-contigs)s or %(anvi-mcg-classifier)s on only a merged profile database (or profile-db), since they look at the allignment data in many samples
 * You cannot run %(anvi-merge)s or %(anvi-import-taxonomy-for-layers)s on a merged profile database, only on a %(single-profile-db)s.
 
@@ -26,3 +26,7 @@ Technically, "profile-db" refers to a profile database that contains the data fr
 ### If you have a single sample
 1. Prepare your %(contigs-db)s
 2. Run %(anvi-profile)s with an appropriate %(bam-file)s. The output of this will give you a %(single-profile-db)s. You can see that page for more information, but essentially you can use a single-profile-db instead of a profile database to run most anvi'o functions.
+
+## Variants
+
+Profile databases, like %(contigs-db)ss, are allowed to have different variants, though the only currently implemented variant, the %(trnaseq-profile-db)s, is for tRNA transcripts from tRNA-seq experiments. The default variant stored for "standard" profile databases is `unknown`. Variants should indicate that substantially different information is stored in the database. For instance, single codon variability is applicable to protein-coding genes but not tRNA transcripts, so SCV data is not recorded for the `trnaseq` variant. The $(trnaseq-workflow)s generates %(trnaseq-profile-db)ss using a very different approach to %(anvi-profile)s.
diff --git a/anvio/docs/artifacts/seeds-non-specific-txt.md b/anvio/docs/artifacts/seeds-non-specific-txt.md
new file mode 100644
index 0000000000..b7d34828d4
--- /dev/null
+++ b/anvio/docs/artifacts/seeds-non-specific-txt.md
@@ -0,0 +1,22 @@
+This tabular file contains data on the nonspecific coverages of tRNA-seq seeds.
+
+Nonspecific coverage represents reads that are not unique to a single tRNA seed. See the %(trnaseq-profile-db)s artifact for a fuller explanation of specific versus nonspecific coverage. The rows and columns of this table are identical to %(seeds-specific-txt)s except for the type of coverage data reported in each.
+
+This file is produced by %(anvi-tabulate-trnaseq)s. The artifact for that program describes this and related tables in detail.
+
+This tab-delimited file can be easily manipulated by the user. It is optional input for %(anvi-plot-trnaseq)s.
+
+## Example
+
+The seeds shown in this table are also shown in the %(seeds-specific-txt)s example. Modifications from these seeds are shown in the %(modifications-txt)s example.
+
+| gene_callers_id | contig_name | anticodon | aa | domain | phylum | class | order | family | genus | species | taxon_percent_id | sample_name | mean_coverage | relative_mean_coverage | relative_discriminator_coverage | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 17a | 18 | 19 | 20 | 20a | 20b | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44.01 | 44.02 | 44.03 | 44.04 | 44.05 | 44.06 | 44.07 | 44.08 | 44.09 | 44.1 | 44.11 | 44.12 | 44.13 | 44.14 | 44.15 | 44.16 | 44.17 | 44.18 | 44.19 | 44.2 | 44.21 | 44.22 | 44.23 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
+0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_01 | 100372.4 |  | 14497 | 14608 | 14815 | 14882 | 14985 | 15828 | 15854 | 15895 | 16410 | 16565 | 16840 | 16960 | 16975 | 16990 | 17490 | 18529 | 19087 |  | 19683 | 21763 | 24353 |  |  | 24699 | 25182 | 29097 | 30476 | 30609 | 30612 | 30491 | 30125 | 29973 | 29506 | 29417 | 26259 | 31169 | 145828 | 153750 | 155936 | 156187 | 156518 | 157233 | 157226 | 157178 | 157429 | 158124 | 159941 | 164453 | 167924 | 170595 | 170567 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 170572 | 170577 | 170547 | 170541 | 170326 | 169581 | 169509 | 169509 | 169497 | 169497 | 169494 | 169491 | 168727 | 168721 | 168719 | 168719 | 168719 | 168719 | 168719 | 168719 | 168489 | 168485 | 168480 | 167688 | 155628 |
+0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_03 | 203816.6 |  | 10498 | 10599 | 11105 | 11217 | 11255 | 11270 | 11350 | 11444 | 12349 | 12539 | 13028 | 13331 | 13337 | 13390 | 14325 | 15079 | 15603 |  | 15769 | 18168 | 21167 |  |  | 23927 | 24910 | 27041 | 28271 | 28395 | 28604 | 28612 | 28749 | 29242 | 30775 | 32254 | 33570 | 44299 | 319895 | 335328 | 337653 | 341382 | 342776 | 344543 | 345794 | 345762 | 345808 | 346281 | 347647 | 354052 | 360294 | 361948 | 361948 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 362317 | 362317 | 362303 | 362303 | 362226 | 362056 | 362056 | 362056 | 362056 | 362050 | 362046 | 362044 | 362044 | 362044 | 362044 | 362044 | 362032 | 362027 | 362027 | 362027 | 361349 | 361349 | 361349 | 360094 | 345770 |
+0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_05 | 26137.9 |  | 5111 | 5184 | 5259 | 5704 | 5979 | 5979 | 5979 | 6011 | 6550 | 6587 | 6587 | 6611 | 6611 | 6611 | 6936 | 7087 | 7090 |  | 7170 | 8243 | 9158 |  |  | 9488 | 9868 | 12268 | 12323 | 12866 | 12616 | 12506 | 12640 | 12630 | 12838 | 12292 | 11336 | 11621 | 36476 | 37479 | 38030 | 38892 | 39018 | 39018 | 39084 | 39068 | 39272 | 39272 | 39272 | 40666 | 41573 | 41879 | 41873 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 42019 | 42019 | 42015 | 42015 | 41996 | 41873 | 41857 | 41695 | 41689 | 41689 | 41689 | 41689 | 41683 | 41683 | 41683 | 41569 | 41569 | 40839 | 40839 | 40839 | 40839 | 40538 | 40495 | 40464 | 36174 |
+0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_07 | 182536.6 |  | 16048 | 16134 | 16358 | 16639 | 16664 | 16679 | 16679 | 16757 | 17351 | 17494 | 17494 | 17547 | 17613 | 17737 | 18346 | 18771 | 18776 |  | 19172 | 20831 | 21986 |  |  | 22549 | 22933 | 25352 | 26246 | 26370 | 25534 | 25798 | 25385 | 25277 | 25529 | 25758 | 25079 | 33202 | 289207 | 300224 | 303731 | 306231 | 306774 | 307692 | 307695 | 307604 | 307604 | 307828 | 308578 | 314195 | 317240 | 321017 | 321023 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 321634 | 321634 | 321615 | 321615 | 321596 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321066 | 321059 | 321059 | 320379 | 320373 | 320363 | 320230 | 303028 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_01 | 3923.1 |  | 32 | 32 | 32 | 32 | 32 | 32 | 32 | 32 | 32 | 32 | 33 | 33 | 33 | 33 | 33 | 33 | 33 |  | 33 | 50 | 79 | 82 |  | 82 | 82 | 82 | 82 | 82 | 82 | 82 | 90 | 90 | 90 | 96 | 109 | 118 | 117 | 125 | 163 | 320 | 7564 | 7948 | 7970 | 7991 | 7991 | 7991 | 8014 | 8014 | 8016 | 8041 | 8041 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8041 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8046 | 8022 | 8022 | 8022 | 8021 | 7961 | 7955 | 7213 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_03 | 8502 |  | 27 | 27 | 27 | 29 | 29 | 31 | 31 | 43 | 49 | 59 | 59 | 59 | 59 | 59 | 59 | 59 | 59 |  | 59 | 60 | 65 | 65 |  | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 72 | 72 | 78 | 78 | 92 | 116 | 140 | 173 | 236 | 679 | 16238 | 17144 | 17344 | 17428 | 17428 | 17452 | 17482 | 17482 | 17482 | 17482 | 17482 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17482 | 17482 | 17482 | 17482 | 17482 | 17482 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17480 | 17411 | 17320 | 16198 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_05 | 1254.6 |  | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |  | 0 | 4 | 18 | 18 |  | 18 | 18 | 18 | 18 | 26 | 26 | 26 | 32 | 32 | 32 | 32 | 40 | 45 | 45 | 60 | 62 | 89 | 2379 | 2492 | 2502 | 2562 | 2594 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2604 | 2557 | 2557 | 2557 | 2557 | 2446 | 2426 | 2058 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_07 | 4217.8 |  | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 64 | 72 | 78 | 78 | 78 | 78 | 78 | 78 | 78 | 78 |  | 78 | 90 | 107 | 107 |  | 107 | 113 | 113 | 113 | 113 | 119 | 119 | 117 | 117 | 117 | 120 | 120 | 132 | 140 | 172 | 212 | 410 | 7980 | 8475 | 8539 | 8553 | 8584 | 8594 | 8594 | 8594 | 8594 | 8599 | 8599 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8599 | 8546 | 8546 | 8124 |
diff --git a/anvio/docs/artifacts/seeds-specific-txt.md b/anvio/docs/artifacts/seeds-specific-txt.md
new file mode 100644
index 0000000000..27e955d483
--- /dev/null
+++ b/anvio/docs/artifacts/seeds-specific-txt.md
@@ -0,0 +1,22 @@
+This tabular file contains data on the specific coverages of tRNA-seq seeds.
+
+Specific coverage represents reads that are assigned uniquely to a tRNA seed. See the %(trnaseq-profile-db)s artifact for a fuller explanation of specific versus nonspecific coverage. The rows and columns of this table are identical to %(seeds-non-specific-txt)s except the type of coverage data reported in each.
+
+This file is produced by %(anvi-tabulate-trnaseq)s. The artifact for that program describes this and related tables in detail.
+
+This tab-delimited file can be easily manipulated by the user. It is required input for %(anvi-plot-trnaseq)s.
+
+## Example
+
+The seeds shown in this table are also shown in the %(seeds-non-specific-txt)s example. Modifications from these seeds are shown in the %(modifications-txt)s example.
+
+| gene_callers_id | contig_name | anticodon | aa | domain | phylum | class | order | family | genus | species | taxon_percent_id | sample_name | mean_coverage | relative_mean_coverage | relative_discriminator_coverage | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 17a | 18 | 19 | 20 | 20a | 20b | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44.01 | 44.02 | 44.03 | 44.04 | 44.05 | 44.06 | 44.07 | 44.08 | 44.09 | 44.1 | 44.11 | 44.12 | 44.13 | 44.14 | 44.15 | 44.16 | 44.17 | 44.18 | 44.19 | 44.2 | 44.21 | 44.22 | 44.23 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
+0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_01 | 71456.2 | 0.25805309 | 0.2578848 |  | 71392 | 71398 | 71398 | 71400 | 71413 | 71414 | 71414 | 71414 | 71419 | 71425 | 71426 | 71426 | 71426 | 71437 | 71445 | 71451 | 71451 |  | 71451 | 71455 | 71457 |  |  | 71460 | 71467 | 71467 | 71471 | 71468 | 71470 | 71470 | 71470 | 71475 | 71489 | 71540 | 71534 | 71529 | 71606 | 71579 | 71582 | 71583 | 71586 | 71586 | 71583 | 71583 | 71583 | 71585 | 71584 | 71584 | 71584 | 71587 | 71587 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 71586 | 71586 | 71572 | 71572 | 71570 | 71504 | 71505 | 71504 | 71503 | 71503 | 71503 | 71503 | 71503 | 71503 | 71503 | 71503 | 71502 | 71500 | 71500 | 71500 | 71497 | 71496 | 71488 | 71466 | 68324 |
+0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_03 | 87746.6 | 0.22523292 | 0.22512637 |  | 87568 | 87582 | 87588 | 87594 | 87598 | 87599 | 87596 | 87597 | 87598 | 87606 | 87608 | 87611 | 87611 | 87611 | 87612 | 87615 | 87615 |  | 87614 | 87614 | 87616 |  |  | 87617 | 87619 | 87619 | 87620 | 87620 | 87620 | 87621 | 87619 | 87620 | 87630 | 87689 | 87683 | 87694 | 87732 | 87898 | 87912 | 87921 | 87925 | 87926 | 87926 | 87926 | 87931 | 87924 | 87925 | 87929 | 87981 | 87986 | 87986 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 87985 | 87985 | 87981 | 87980 | 87978 | 87952 | 87952 | 87951 | 87952 | 87954 | 87952 | 87950 | 87946 | 87946 | 87946 | 87943 | 87941 | 87939 | 87939 | 87939 | 87936 | 87935 | 87929 | 87909 | 84530 |
+0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_05 | 29533 | 0.22692849 | 0.22190602 |  | 29490 | 29494 | 29499 | 29509 | 29516 | 29516 | 29518 | 29521 | 29525 | 29528 | 29536 | 29536 | 29536 | 29538 | 29539 | 29547 | 29550 |  | 29550 | 29549 | 29553 |  |  | 29552 | 29552 | 29553 | 29552 | 29553 | 29553 | 29549 | 29550 | 29552 | 29553 | 29564 | 29561 | 29559 | 29638 | 29605 | 29602 | 29604 | 29607 | 29607 | 29607 | 29608 | 29607 | 29607 | 29607 | 29607 | 29607 | 29609 | 29609 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 29609 | 29609 | 29606 | 29606 | 29605 | 29601 | 29601 | 29601 | 29601 | 29601 | 29599 | 29599 | 29599 | 29599 | 29596 | 29596 | 29597 | 29595 | 29595 | 29594 | 29593 | 29504 | 29486 | 29451 | 26980 |
+0 | c_000000684460_DB_R05_06 | TAC | Val | Bacteria | Firmicutes | Clostridia | Lachnospirales | Lachnospiraceae |  |  | 100 | DB_07 | 47065 | 0.181019 | 0.18087983 |  | 47078 | 47087 | 47105 | 47113 | 47114 | 47114 | 47114 | 47116 | 47124 | 47127 | 47129 | 47129 | 47131 | 47133 | 47139 | 47139 | 47139 |  | 47135 | 47138 | 47141 |  |  | 47145 | 47142 | 47147 | 47145 | 47145 | 47142 | 47143 | 47135 | 47134 | 47133 | 47154 | 47125 | 47093 | 47111 | 47051 | 47058 | 47067 | 47071 | 47073 | 47072 | 47069 | 47069 | 47069 | 47072 | 47072 | 47073 | 47073 | 47074 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 47074 | 47074 | 47073 | 47069 | 47069 | 47042 | 47043 | 47042 | 47038 | 47042 | 47042 | 47042 | 47042 | 47041 | 47041 | 47040 | 47040 | 47040 | 47040 | 47040 | 47033 | 47032 | 47031 | 47018 | 45352 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_01 | 142.4 | 0.00051437 | 0.00052465 |  | 141 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 |  | 142 | 142 | 142 | 142 |  | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 142 | 141 | 141 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 143 | 139 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_03 | 1006.4 | 0.00258316 | 0.00249815 |  | 1010 | 1010 | 1010 | 1010 | 1011 | 1011 | 1011 | 1011 | 1011 | 1010 | 1010 | 1010 | 1010 | 1010 | 1010 | 1010 | 1011 |  | 1011 | 1011 | 1014 | 1014 |  | 1014 | 1014 | 1014 | 1014 | 1014 | 1014 | 1014 | 1014 | 1014 | 1014 | 1014 | 1014 | 1013 | 1012 | 1012 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 1003 | 998 | 998 | 938 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_05 | 297.5 | 0.00228586 | 0.00285402 |  | 225 | 227 | 227 | 227 | 227 | 227 | 225 | 228 | 228 | 230 | 230 | 230 | 230 | 230 | 230 | 230 | 230 |  | 230 | 230 | 230 | 230 |  | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 232 | 233 | 238 | 360 | 367 | 367 | 367 | 370 | 370 | 370 | 370 | 370 | 370 | 370 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 370 | 362 | 362 | 347 |
+1 | c_000000805276_DB_R05_05 | ACG | Arg | Bacteria | Firmicutes |  |  |  |  |  | 98.649 | DB_07 | 120 | 0.00046169 | 0.00046664 |  | 116 | 116 | 116 | 116 | 116 | 116 | 116 | 116 | 116 | 119 | 119 | 119 | 118 | 118 | 118 | 118 | 118 |  | 119 | 122 | 126 | 126 |  | 126 | 126 | 126 | 126 | 126 | 126 | 126 | 126 | 126 | 126 | 126 | 124 | 124 | 122 | 123 | 120 | 120 | 120 | 120 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 119 | 117 | 117 | 117 |
diff --git a/anvio/docs/artifacts/trnaseq-contigs-db.md b/anvio/docs/artifacts/trnaseq-contigs-db.md
new file mode 100644
index 0000000000..1265505a14
--- /dev/null
+++ b/anvio/docs/artifacts/trnaseq-contigs-db.md
@@ -0,0 +1,15 @@
+A tRNA-seq contigs database is a **%(contigs-db)s variant containing information on tRNA transcripts identified from tRNA-seq experiments**.
+
+This database is created by the program, %(anvi-merge-trnaseq)s, which is part of the %(trnaseq-workflow)s. This program also creates %(trnaseq-profile-db)ss. %(anvi-run-trna-taxonomy)s populates the tRNA-seq contigs database with taxonomic annotations.
+
+This database functions in a manner equivalent to the normal metagenomic-style contigs database. As normal contigs databases are associated with a normal %(profile-db)s containing coverage-related data, tRNA-seq contigs databases are associated with %(trnaseq-profile-db)ss. The name can be misleading: tRNA-seq contigs databases do not contain information on assembled contigs as such. Rather, the fundamental type of sequence reconstructed from a tRNA-seq experiment is a **tRNA seed**, representing a mature tRNA sequence (minus the 3'-CCA acceptor) found in one or more samples in the experiment. tRNA seeds are not predicted by assembly at all, but by the specialized software of %(anvi-trnaseq)s and %(anvi-merge-trnaseq)s.
+
+A variety of information on tRNA seeds is contained in a tRNA-seq contigs database, including structural profiles, taxonomic annotations, and user-defined bins.
+
+## Uses
+
+Tabulation of tRNA-seq data by %(anvi-tabulate-trnaseq)s requires a tRNA-seq contigs database and %(trnaseq-profile-db)s.
+
+Interactive visualization of tRNA-seq datasets in %(anvi-interactive)s requires this database and a %(trnaseq-profile-db)s.
+
+Visualization of grouped seeds by %(anvi-plot-trnaseq)s requires this database in addition to files produced by %(anvi-tabulate-trnaseq)s.
diff --git a/anvio/docs/artifacts/trnaseq-db.md b/anvio/docs/artifacts/trnaseq-db.md
index 52210b5958..ceefc91b62 100644
--- a/anvio/docs/artifacts/trnaseq-db.md
+++ b/anvio/docs/artifacts/trnaseq-db.md
@@ -1,13 +1,15 @@
-A tRNA-seq database is an anvi'o database that **contains tRNA sequences predicted from a %(trnaseq-fasta)s for a sample, and associated information**.
+A tRNA-seq database **contains information on tRNA sequences predicted from a single tRNA-seq sample**.
 
-This database is the key output of **%(anvi-trnaseq)s**, which predicts which input sequences are tRNA, clusters them into discrete biological sequences, and predicts positions in the sequences that are the sites of nucleotide modifications. The database therefore contains tables of information produced by each part of the process.
+This database is the key output of **%(anvi-trnaseq)s**. That program predicts which reads are tRNA through structural profiling, clusters tRNA reads into discrete biological sequences, and predicts the positions of nucleotide modifications.
+
+The series of steps implemented in %(anvi-trnaseq)s sequentially adds the following information to the database.
 
 * Unique sequences predicted to be tRNA, including read counts
-* Primary sequence and secondary structural features (stems and loops) predicted in each unique tRNA
+* Primary sequence and secondary structural features (stems and loops) predicted in each profiled tRNA
 * Unconserved nucleotides in the primary sequence that differ from expectation
 * Unpaired nucleotides in the stems
-* "Trimmed" tRNA sequences, formed from unique sequences only differing by 5' nucleotides beyond the acceptor stem and 3' nucleotides of the CCA acceptor region
-* "Normalized" tRNA sequences, formed by dereplicating trimmed tRNA sequences that are 3' fragments produced by incomplete reverse transcription and by mapping biological tRNA fragments
-* Potentially modified tRNA sequences, formed by clustering normalized tRNA sequences and retaining those clusters that differ by 3-4 nucleotides at potentially modified positions
+* "Trimmed" tRNA sequences, formed from unique sequences only differing by 3' nucleotides of the CCA acceptor region and 5' nucleotides beyond the acceptor stem
+* "Normalized" tRNA sequences, formed by dereplicating trimmed tRNA sequences that are 3' fragments from incomplete reverse transcription and by mapping biological 5' and interior tRNA fragments
+* Potentially modified tRNA sequences, formed by clustering normalized tRNA sequences and retaining those clusters that differ by 3-4 nucleotides at aligned positions
 
-This database is the key input to **%(anvi-convert-trnaseq-database)s**, which takes one or more databases comprising the samples of an experiment and generates a %(contigs-db)s of tRNA seed sequences and %(profile-db)s. These can then be displayed and manipulated in anvi'o like other 'omics data.
\ No newline at end of file
+This database is the key input to **%(anvi-merge-trnaseq)s**, which takes one or more databases comprising the samples in an experiment and generates a %(trnaseq-contigs-db)s of tRNA seed sequences and %(trnaseq-profile-db)ss. These tRNA-seq variant contigs and profile databases can then be manipulated and displayed in anvi'o like normal %(contigs-db)ss and %(profile-db)ss.
diff --git a/anvio/docs/artifacts/trnaseq-profile-db.md b/anvio/docs/artifacts/trnaseq-profile-db.md
new file mode 100644
index 0000000000..87f791dbe7
--- /dev/null
+++ b/anvio/docs/artifacts/trnaseq-profile-db.md
@@ -0,0 +1,19 @@
+A tRNA-seq profile database is a **%(profile-db)s variant containing tRNA seed coverage information from one or more samples**.
+
+This database is created by the program, %(anvi-merge-trnaseq)s, which is part of the %(trnaseq-workflow)s. This program also creates a %(trnaseq-contigs-db)s.
+
+## Specific and nonspecific coverage
+
+The coverage of tRNA seeds by tRNA-seq reads is determined differently than the coverage of contigs by metagenomic reads. Metagenomic contigs are constructed by an assembly tool and reads are assigned to contigs by a mapping tool. Reads that map to multiple contigs are randomly assigned to one contig. tRNA-seq seeds and coverages are found simultaneously by %(anvi-trnaseq)s and %(anvi-merge-trnaseq)s. Two types of coverage are tracked: **specific** coverage of reads unique to seeds and **nonspecific** coverage of reads in multiple seeds. tRNA-seq reads are often short fragments found in numerous tRNAs; random assignment of these reads would distort tRNA abundances and coverage patterns.
+
+Separate tRNA-seq profile databases are produced for specific and nonspecific coverages. A "combined" database containing both sets of data is produced by default for convenience, allowing specific and nonspecific coverages to be compared side-by-side in the %(anvi-interactive)s interface. A "summed" database of specific + nonspecific coverage can optionally be produced. The `--nonspecific-output` option of %(anvi-merge-trnaseq)s controls the production of nonspecific, combined, and summed databases.
+
+## Modifications versus SNVs
+
+The other significant difference between a tRNA-seq profile database and a normal %(profile-db)s is that variable nucleotides are restricted to tRNA modification positions predicted from mutation signatures. Single nucleotide variants are purposefully excluded, though they can be mistaken for modifications, especially with permissive parameterization of %(anvi-merge-trnaseq)s (see that artifact for more information).
+
+## Uses
+
+Tabulation of tRNA-seq data by %(anvi-tabulate-trnaseq)s takes a specific and optionally nonspecific profile database in addition to a %(trnaseq-contigs-db)s.
+
+Interactive visualization of tRNA-seq data in %(anvi-interactive)s requires a specific, nonspecific, combined, or summed profile database in addition to a %(trnaseq-contigs-db)s.
diff --git a/anvio/docs/artifacts/trnaseq-workflow.md b/anvio/docs/artifacts/trnaseq-workflow.md
new file mode 100644
index 0000000000..df8b0e98e0
--- /dev/null
+++ b/anvio/docs/artifacts/trnaseq-workflow.md
@@ -0,0 +1,45 @@
+The tRNA-seq workflow **is a [Snakemake](https://snakemake.readthedocs.io/en/stable/) workflow run by the anvi'o script, %(anvi-run-workflow)s**.
+
+The workflow can run the following programs in order.
+- [Illumina-utils](https://github.com/merenlab/illumina-utils), for merging paired-end reads and quality control
+- %(anvi-script-reformat-fasta)s, for making FASTA deflines anvio-compliant
+- %(anvi-trnaseq)s, for predicting tRNA sequences, structures, and modification sites in each sample
+- %(anvi-merge-trnaseq)s, for predicting tRNA seed sequences and their modification sites from the set of samples
+- %(anvi-run-trna-taxonomy)s, for assigning taxonomy to tRNA seeds
+- %(anvi-tabulate-trnaseq)s, for generating tables of seed and modification information that are easily manipulated
+
+## Input
+
+The tRNA-seq workflow requires two files to run: a json-formatted config file and %(samples-txt)s. Generate the default config file, here called `config.json`, with the following command.
+
+{{ codestart }}
+anvi-run-workflow -w trnaseq --get-default-config config.json
+{{ codestop }}
+
+Different "rules," or steps, of the workflow can be turned on and off as needed in the config file. The workflow can be restarted at intermediate rules without rerunning prior rules that have already completed.
+
+%(samples-txt)s will contain a list of FASTQ or FASTA files and associated information on each library. FASTQ files contain unmerged paired-end tRNA-seq reads. Reads are merged in the workflow by [Illumina-utils](https://github.com/merenlab/illumina-utils). FASTA files contain merged reads, and the initial read-merging steps in the workflow are skipped.
+
+Here is an example tRNA-seq samples file with FASTQ inputs.
+
+| sample | treatment | r1 | r2 | r1_prefix | r2_prefix |
+| --- | --- | --- | --- | --- | --- |
+| ecoli_A1_noDM | untreated | FASTQ/ecoli_A1_noDM.r1.fq.gz | FASTQ/ecoli_A1_noDM.r2.fq.gz | NNNNNN | TTCCAGT |
+| ecoli_A1_DM | demethylase | FASTQ/ecoli_A1_DM.r1.fq.gz | FASTQ/ecoli_A1_DM.r2.fq.gz | NNNNNN | TCTGAGT |
+| ecoli_B1_noDM | untreated | FASTQ/ecoli_B1_noDM.r1.fq.gz | FASTQ/ecoli_B1_noDM.r2.fq.gz | NNNNNN | TGGTAGT |
+| ecoli_B1_DM | demethylase | FASTQ/ecoli_B1_DM.r1.fq.gz | FASTQ/ecoli_B1_DM.r2.fq.gz | NNNNNN | CTGAAGT |
+
+The treatment column is optional. The treatment indicates a chemical application, such as demethylase, and can be used to have a bearing on seed sequence determination in %(anvi-merge-trnaseq)s. In the absence of a treatment column, all samples are assigned the same treatment, which can be specified in the `anvi_trnaseq` section of the workflow config file and defaults to `untreated`.
+
+Read 1 and 2 prefix columns are also optional. These represent sequences that Illumina-utils should identify and trim from the start of the read. In the example, the read 1 prefix is a unique molecular identifier (UMI) of 6 random nucleotides, and the read 2 prefix is a sample barcode. Illumina-utils will discard the paired-end read if the prefix is not found. In the example, the read 1 UMI will always be found, but the read 2 barcode must match exactly.
+
+Here is an equivalent tRNA-seq samples file with FASTA inputs.
+
+| sample | treatment | fasta |
+| --- | --- | --- |
+| ecoli_A1_noDM | untreated | FASTA/ecoli_A1_noDM.fa.gz |
+| ecoli_A1_DM | demethylase | FASTA/ecoli_A1_DM.fa.gz |
+| ecoli_B1_noDM | untreated | FASTA/ecoli_B1_noDM.fa.gz |
+| ecoli_B1_DM | demethylase | FASTA/ecoli_B1_DM.fa.gz |
+
+Note that barcodes and other sequence prefixes should already be trimmed from FASTA sequences.
diff --git a/anvio/docs/artifacts/user-metabolism.md b/anvio/docs/artifacts/user-metabolism.md
new file mode 100644
index 0000000000..6938afafd7
--- /dev/null
+++ b/anvio/docs/artifacts/user-metabolism.md
@@ -0,0 +1,15 @@
+Output text files produced by %(anvi-estimate-metabolism)s that describe the presence of **user-defined metabolic pathways** in a %(contigs-db)s.
+
+These files are exactly the same format as those described by %(kegg-metabolism)s, but in addition to (or instead of) information on KEGG modules and KEGG Orthologs, they contain information on user-defined metabolic pathways" (and their component enzymes), as described in %(user-modules-data)s.
+
+## How to get to this output?
+
+You should first read the page on %(user-modules-data)s to learn how to define and set up your own metabolic pathways for use in anvi'o. The program that generates this output is %(anvi-estimate-metabolism)s, and you should run that program with the `--user-modules` parameter to make sure the resulting text files contains the information on your user-defined metabolic pathways. There are two main ways to do it (which are also described on the %(anvi-estimate-metabolism)s help page):
+
+1. To get files describing user-defined metabolic modules _in addition to_ KEGG modules, just use the `--user-modules` parameter.
+
+2. To get files describing _only_ user-defined metabolic modules (instead of KEGG stuff), use both `--user-modules` and `--only-user-modules` parameters.
+
+## What do these files look like?
+
+Check out the %(kegg-metabolism)s page for a comprehensive description of the file formats and various options to customize them. The examples on that page show KEGG data, but the format is the same for user-defined data.
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diff --git a/anvio/docs/programs/anvi-analyze-synteny.md b/anvio/docs/programs/anvi-analyze-synteny.md
index 94ac6abb2b..77e2f3a978 100644
--- a/anvio/docs/programs/anvi-analyze-synteny.md
+++ b/anvio/docs/programs/anvi-analyze-synteny.md
@@ -59,36 +59,33 @@ anvi-analyze-synteny -g %(genomes-storage-db)s \
 
 If you are following the anvi'o master branch on your computer, you can create a test case for this program.
 
-First, go to your source code directory. Then run the following commands:
+First, go to any work dirctory, and run the following commands:
 
 ``` bash
-cd anvio/anvio/tests
-./run_all_tests.sh
-
-# set output dir
-output_dir=sandbox/test-output
+anvi-self-test --suite metagenomics-full \
+               --output-dir TEST-OUTPUT
 
 # make a external-genomesfile
-echo -e "name\tcontigs_db_path\ng01\t$output_dir/01.db\ng02\t$output_dir/02.db\ng03\t$output_dir/03.db" > $output_dir/external-genomes-file.txt
+echo -e "name\tcontigs_db_path\ng01\tTEST-OUTPUT/01.db\ng02\tTEST-OUTPUT/02.db\ng03\tTEST-OUTPUT/03.db" > TEST-OUTPUT/external-genomes-file.txt
 ```
 
 Run one or more alternative scenarios and check output files:
 
 ```
-anvi-analyze-synteny -e $output_dir/external-genomes-file.txt \
+anvi-analyze-synteny -e TEST-OUTPUT/external-genomes-file.txt \
                      --annotation-source COG_FUNCTION \
                      --window-range 2:3 \
-                     -o $output_dir/synteny_output_no_unknowns.tsv
+                     -o TEST-OUTPUT/synteny_output_no_unknowns.tsv
 
-anvi-analyze-synteny -e $output_dir/external-genomes-file.txt \
+anvi-analyze-synteny -e TEST-OUTPUT/external-genomes-file.txt \
                      --annotation-source COG_FUNCTION \
                      --window-range 2:3 \
-                     -o $output_dir/synteny_output_with_unknowns.tsv \
+                     -o TEST-OUTPUT/synteny_output_with_unknowns.tsv \
                      --analyze-unknown-functions
 
-anvi-analyze-synteny -e $output_dir/external-genomes-cps.txt \
+anvi-analyze-synteny -e TEST-OUTPUT/external-genomes-cps.txt \
                      --annotation-source COG_FUNCTION \
                      --window-range 2:3 \
-                     -o $output_dir/tsv.txt \
+                     -o TEST-OUTPUT/tsv.txt \
                      --analyze-unknown-functions
 ```
diff --git a/anvio/docs/programs/anvi-compute-metabolic-enrichment.md b/anvio/docs/programs/anvi-compute-metabolic-enrichment.md
index 4a85e5f67f..4ca1d3511b 100644
--- a/anvio/docs/programs/anvi-compute-metabolic-enrichment.md
+++ b/anvio/docs/programs/anvi-compute-metabolic-enrichment.md
@@ -18,7 +18,7 @@ The script `anvi-script-enrichment-stats` was implemented by [Amy Willis](https:
 
 ### Basic usage
 
-See %(kegg-metabolism)s for more information on how to generate a "modules" mode output format from %(anvi-estimate-metabolism)s. Please note that the genome names in the modules file must match those that you will mention in the %(groups-txt)s file.
+See %(kegg-metabolism)s or %(user-metabolism)s for more information on how to generate a "modules" mode output format from %(anvi-estimate-metabolism)s. Please note that the genome names in the modules file must match those that you will mention in the %(groups-txt)s file.
 
 {{ codestart }}
 anvi-compute-metabolic-enrichment -M MODULES.TXT \
diff --git a/anvio/docs/programs/anvi-display-functions.md b/anvio/docs/programs/anvi-display-functions.md
old mode 100755
new mode 100644
diff --git a/anvio/docs/programs/anvi-display-structure.md b/anvio/docs/programs/anvi-display-structure.md
old mode 100755
new mode 100644
diff --git a/anvio/docs/programs/anvi-export-gene-calls.md b/anvio/docs/programs/anvi-export-gene-calls.md
index 32db49a807..150631ccea 100644
--- a/anvio/docs/programs/anvi-export-gene-calls.md
+++ b/anvio/docs/programs/anvi-export-gene-calls.md
@@ -1,22 +1,58 @@
-This program exports your gene calls given a %(contigs-db)s and a gene caller. The output of this is a %(gene-calls-txt)s. 
+The purpose of this program is to exports your gene calls in a given %(contigs-db)s and a gene caller, in the form of a %(gene-calls-txt)s. 
 
-To see the gene callers available in your contigs database, run 
+To see the gene callers available in your contigs database, you can use %(anvi-db-info)s or use this program with the following flag: 
 
 {{ codestart }}
 anvi-export-gene-calls -c %(contigs-db)s \
                        --list-gene-callers
 {{ codestop }}
 
-By default, this list will probably include [Prodigal](https://github.com/hyattpd/Prodigal), which identifies genes when creating a %(contigs-db)s. For in this example, we'll use export Prodigal-identified genes. Note that you can also get genes from more than one source by providing several gene-callers in a comma-delimited list.  
+Running this will export all of your gene calls identified by the gene caller [prodigal](https://github.com/hyattpd/Prodigal) (assuming it is in your %(contigs-db)s:
 
-Then, you can export all of your gene callers in an orderly fashion by running 
+{{ codestart }}
+anvi-export-gene-calls -c %(contigs-db)s \
+                       --gene-caller Prodigal \
+                       -o %(gene-calls-txt)s
+{{ codestop }}
+
+{:.notice}
+You can export genes from more gene callers by providing a comma-separated list of gene caller names.
+
+If you don't want to display the amino acid sequences of each gene (they can crowd the file very quickly if you don't want to see them), you can add the following flag:
 
 {{ codestart }}
 anvi-export-gene-calls -c %(contigs-db)s \
                        --gene-caller Prodigal \
-                       -o path/to/output
+                       --skip-sequence-reporting \
+                       -o %(gene-calls-txt)s
 {{ codestop }}
 
-This will put a %(gene-calls-txt)s in the path you specified containing all of your Prodigal genes. 
+## Advanced uses
+
+This program can take a lot of time and memory when working with very large %(contigs-db)s files (such as those that are more than 10 Gb in file size or more than 10 million contigs).
+
+In that case you can export your gene calls the following way within minutes and a small memory space.
 
-If you don't want to display the amino acid sequences of each gene (they can crowd the file very quickly if you don't want to see them), just add the flag `--skip-sequence-reporting`
+First open your %(contigs-db)s:
+
+{{ codestart }}
+sqlite3 %(contigs-db)s
+{{ codestop }}
+
+Then run these lines,
+
+{{ codestart }}
+.mode csv 
+.headers on 
+.out %(gene-calls-txt)s
+select gene_callers_id, contig, start, stop, direction, partial from genes_in_contigs;
+{{ codestop }}
+
+You can also continue with these lines to get the amino acid sequences for them:
+
+{{ codestart }}
+.mode csv 
+.headers on 
+.out AMINO-ACID-SEQUENCES.txt
+select * from genes_in_contigs;
+{{ codestop }}
diff --git a/anvio/docs/programs/anvi-gen-structure-database.md b/anvio/docs/programs/anvi-gen-structure-database.md
index 22cffd8d5c..a8cb3e9d25 100644
--- a/anvio/docs/programs/anvi-gen-structure-database.md
+++ b/anvio/docs/programs/anvi-gen-structure-database.md
@@ -1,16 +1,17 @@
 
-This program attempts to solve for the 3D structures of proteins encoded by genes in your %(contigs-db)s using DIAMOND and MODELLER.  
-
-DIAMOND first searches your sequence(s) against a database of proteins with a known structure.  This database is downloaded from the [Sali lab](https://salilab.org/modeller/supplemental.html), who created and maintain MODELLER, and contains all of the PDB sequences clustered at 95%% identity.
+This program creates a %(structure-db)s either by (a) attempting to solve for the 3D structures of proteins encoded by genes in your %(contigs-db)s using DIAMOND and MODELLER, or (b) importing pre-existing structures provided by the user using an %(external-structures)s file.
 
+### The basics of the pipeline
 
-If any good hits are found, they are selected as templates, and their structures are nabbed either from [the RCSB directly](https://www.rcsb.org/), or from a local %(pdb-db)s database which you can create yourself with %(anvi-setup-pdb-database)s. Then, anvi'o passes control over to MODELLER, which creates a 3D alignment for your sequence to the template structures, and makes final adjustments to it based off of empirical distributions of bond angles. For more information, check [this blogpost](http://merenlab.org/2018/09/04/getting-started-with-anvio-structure/#how-modeller-works).
+This section covers option (a), where the user is interested in having structures predicted for them.
 
+DIAMOND first searches your sequence(s) against a database of proteins with a known structure.  This database is downloaded from the [Sali lab](https://salilab.org/modeller/supplemental.html), who created and maintain MODELLER, and contains all of the PDB sequences clustered at 95%% identity.
 
-The output of this program is a %(structure-db)s, which contains all of the modelled structures.  Currently, the primary use of the %(structure-db)s is for interactive exploration with %(anvi-display-structure)s. You can also export your structures into external .pdb files with %(anvi-export-structures)s, or incorporate structural information in the %(variability-profile-txt)s with %(anvi-gen-variability-profile)s.
+If any good hits are found, they are selected as templates, and their structures are nabbed either from [the RCSB directly](https://www.rcsb.org/), or from a local %(pdb-db)s database which you can create yourself with %(anvi-setup-pdb-database)s. Then, anvi'o passes control over to MODELLER, which creates a 3D alignment for your sequence to the template structures, and makes final adjustments to it based off of empirical distributions of bond angles. For more information, check [this blogpost](http://merenlab.org/2018/09/04/getting-started-with-anvio-structure/#how-modeller-works).
 
+The output of this program is a %(structure-db)s, which contains all of the modelled structures. Currently, the primary use of the %(structure-db)s is for interactive exploration with %(anvi-display-structure)s. You can also export your structures into external .pdb files with %(anvi-export-structures)s, or incorporate structural information in the %(variability-profile-txt)s with %(anvi-gen-variability-profile)s.
 
-### Basic run 
+### Basic standard run
 
 Here is a simple run: 
 
@@ -33,6 +34,20 @@ anvi-gen-structure-database -c %(contigs-db)s \
 
 To quickly get a very rough estimate for your structures, you can run with the flag `--very-fast`. 
 
+### Basic import run
+
+If you already possess structures and would like to create a %(structure-db)s for downstream anvi'o uses such as %(anvi-display-structure)s, you should create a %(external-structures)s file. Then, create the database as follows:
+
+{{ codestart }}
+anvi-gen-structure-database -c %(contigs-db)s \
+                            --external-structures %(external-structures)s \
+                            -o STRUCTURE.db 
+{{ codestop }}
+
+{:.notice}
+Please avoid using any MODELLER-specific parameters when using this mode, as they will be silently ignored.
+
+
 ### Advanced Parameters
 
 Here, we will go through a brief overview of the MODELLER parameters that you are able to change. See [this page](http://merenlab.org/2018/09/04/getting-started-with-anvio-structure/#description-of-all-modeller-parameters) for more information. 
diff --git a/anvio/docs/programs/anvi-get-sequences-for-hmm-hits.md b/anvio/docs/programs/anvi-get-sequences-for-hmm-hits.md
index 9ee79d36a6..f16287f0cb 100644
--- a/anvio/docs/programs/anvi-get-sequences-for-hmm-hits.md
+++ b/anvio/docs/programs/anvi-get-sequences-for-hmm-hits.md
@@ -97,22 +97,44 @@ anvi-get-sequences-for-hmm-hits -c %(contigs-db)s \
                                 -o %(genes-fasta)s
 {{ codestop }}
 
+## Tips
 
-### Want to play?
+### Get amino acid seqeunces for each gene in a model individually
 
-You can play with this program using the anvi'o data pack for the [infant gut data](/tutorials/infant-gut) and by replacing the parameters above with appropriate ones in the following commands.
+If you are interested in recovering HMM hits for each gene in a model anvi'o knows about as a separate FASTA file, you can do it with a `for` loop easily. After learning your genes of interest, first run this to make sure your terminal environment knows about them (this is an example with a few genes from the HMM source `Bacteria_71`, but you can add as many genes as you like and use any HMM source anvi'o recognizes, of course):
+
+``` bash
+export genes="Ribosomal_L22 Ribosomal_L23 Ribosomal_L27 Ribosomal_L27A Ribosomal_L28"
+export hmm_source="Bacteria_71"
+```
+
+Then, you can run the program in a loop to have your FASTA files:
+
+``` bash
+for gene in $genes
+do
+    anvi-get-sequences-for-hmm-hits -c CONTIGS.db \
+                                    --hmm-source $hmm_source \
+                                    --gene-name $gene \
+                                    -o ${hmm_source}-${gene}.fa
+done
+```
 
-Download the latest version of the data from here:
+Voila!
+
+### Exercise with the program or test scenarios
+
+You can play with this program using the anvi'o data pack for the [infant gut data](/tutorials/infant-gut) and by replacing the parameters above with appropriate ones in the following commands.
 
-[doi:10.6084/m9.figshare.3502445](https://doi.org/10.6084/m9.figshare.3502445)
+Download the latest version of the data from here: [doi:10.6084/m9.figshare.3502445](https://doi.org/10.6084/m9.figshare.3502445)
 
-Unpack it:
+Then, unpack it:
 
 {{ codestart }}
 tar -zxvf INFANTGUTTUTORIAL.tar.gz && cd INFANT-GUT-TUTORIAL
 {{ codestop }}
 
-Import the collection `merens`:
+Finally, import the collection `merens`:
 
 {{ codestart }}
 %(anvi-import-collection)s additional-files/collections/merens.txt \
@@ -121,18 +143,4 @@ Import the collection `merens`:
                        -C merens
 {{ codestop }}
 
-Then run the program to
-
-### Learn available HMM sources
-
-{{ codestart }}
-anvi-get-sequences-for-hmm-hits -p PROFILE.db \
-                                -c CONTIGS.db \
-                                -C merens \
-                                -o OUTPUT.fa \
-                                --hmm-source Campbell_et_al \
-                                --gene-names Ribosomal_L27,Ribosomal_L28,Ribosomal_L3 \
-                                --return-best-hit \
-                                --get-aa-sequences \
-                                --concatenate
-{{ codestop }}
+Then run the program using the `PROFILE.db`, `CONTIGS.db`, and optionally the %(collection)s `merens` to try some of the commands shown on this page.
diff --git a/anvio/docs/programs/anvi-get-tlen-dist-from-bam.md b/anvio/docs/programs/anvi-get-tlen-dist-from-bam.md
new file mode 100644
index 0000000000..70e6c27ac2
--- /dev/null
+++ b/anvio/docs/programs/anvi-get-tlen-dist-from-bam.md
@@ -0,0 +1,73 @@
+This program may be useful if you are interested in learning the insert size distribution in a given %(bam-file)s.
+
+## Example run
+
+The most straightforward way to run the program is the following:
+
+{{ codestart }}
+anvi-get-tlen-dist-from-bam %(bam-file)s
+{{ codestop }}
+
+Here is an example output in the terminal:
+
+```
+BAM file .....................................: ./INVERSION-TEST/CP_R03_CDI_C_07_POST.bam
+Number of contigs ............................: 8
+Number of reads ..............................: 2,331,062
+Minimum template length frequency ............: 10
+Maximum template length to consider ..........: 500,000
+
+
+WARNING
+===============================================
+Some of your contigs, 2 of 8 to be precise, did not seem to have any template
+lenght data. There are many reasons this could happen, including a very high
+`--min-tlen-frequency` parameter for BAM files with small number of reads. But
+since there are some contigs that seem to have proper paired-end reads with
+template lengths, anvi'o will continue reporting and put zeros for contigs that
+have no data in output files.
+
+Output file ..................................: TEMPLATE-LENGTH-STATS.txt
+
+
+✓ anvi-get-tlen-dist-from-bam took 0:00:05.483682
+```
+
+## Output file
+
+The program will report a TAB-delimited output file with the following format:
+
+|contig|length|num_reads_considered|mean|mean_Q2Q3|median|min|max|std|
+|:--|:--:|:--:|:--:|:--:|:--:|:--:|:--:|:--:|
+|B_fragilis_ARW016_000000000001|5526948|2213634|367.6|392.5|393.0|32|71613|663.1|
+|B_fragilis_ARW016_000000000002|3905|634|398.6|398.7|399.0|382|415|7.926|
+|B_fragilis_ARW016_000000000003|4039|588|397.5|397.8|398.0|380|411|7.206|
+|B_fragilis_ARW016_000000000004|3950|524|397.4|397.2|397.0|382|414|7.492|
+|B_fragilis_ARW016_000000000005|911|0|||||||
+|B_fragilis_ARW016_000000000006|647|0|||||||
+|B_fragilis_ARW016_000000000007|12247|1860|394.9|396.7|397.0|99|419|23.61|
+|B_fragilis_ARW016_000000000008|4861|528|396.7|396.7|397.0|384|410|6.746|
+
+## Histogram
+
+If you run the program with the flag `--plot`, it will attempt to plot a histogram for all contigs in the BAM file.
+
+{:.warning}
+The plotting function requires an additional Python library, [plotext](https://github.com/piccolomo/plotext), to be installed. While it is not a part of the default anvi'o distirbution, you can install it in your environment by running `pip install plotext`.
+
+Here is an example run:
+
+```
+anvi-get-tlen-dist-from-bam CP_R03_CDI_C_07_POST.bam \
+                            --plot \
+                            --max-template-length-to-consider 5000 \
+                            --min-template-length-frequency 2500
+```
+
+And the result in the terminal:
+
+[![Example output](../../images/anvi-get-tlen-dist-from-bam.png){:.center-img}](../../images/anvi-get-tlen-dist-from-bam.png)
+
+The histogram may require additional filters to avoid skewed displays due to outliers. The parameters `--max-template-length-to-consider` and/or `--min-template-length-frequency` may be useful for such adjustments. Please see the help menu for their details.
+
+The best practice is likely to run the program without any of these parameters and without the `--plot` flag to generate a comprehensive TAB-delimited report, and then use the `--plot` flag to visualize trends.
\ No newline at end of file
diff --git a/anvio/docs/programs/anvi-interactive.md b/anvio/docs/programs/anvi-interactive.md
index bbbf38cb33..c07f205d5f 100644
--- a/anvio/docs/programs/anvi-interactive.md
+++ b/anvio/docs/programs/anvi-interactive.md
@@ -8,7 +8,7 @@ Here, we'll go through *some* things that the anvi'o interactive interface is ca
 
 Please makes sure you are familiar with the terminology that describes various parts of a given display, which are **explained in the %(interactive)s artifact**:
 
-![an anvi'o display](../../images/anvio_display_template.png){:.center-img}
+![an anvi'o display](../../images/interactive_interface/anvio_display_template.png){:.center-img}
 
 
 ## Running anvi-interactive on a profile database
@@ -22,7 +22,7 @@ anvi-interactive -p %(profile-db)s \
 
 For the central tree to display correctly, you'll need to have run hierarchical clustering at some point while making your profile database (either during %(anvi-merge)s, or, if this is a %(single-profile-db)s, while running %(anvi-profile)s). It is also possible to provide a phylogenetic tree or a clustering dendrogram from the command line using the `--tree` parameter.
 
-If you do not have a %(state)s stored in your profile database named `default`, you will need to click the "Draw" button for anvi'o to provide you with an %(interactive)s display of your data. 
+If you do not have a %(state)s stored in your profile database named `default`, you will need to click the "Draw" button for anvi'o to provide you with an %(interactive)s display of your data.
 
 ### How to visualize things when you don't have a hierarchical clustering of your contigs?
 
diff --git a/anvio/docs/programs/anvi-matrix-to-newick.md b/anvio/docs/programs/anvi-matrix-to-newick.md
index 1d1e1a89b1..d8a021b131 100644
--- a/anvio/docs/programs/anvi-matrix-to-newick.md
+++ b/anvio/docs/programs/anvi-matrix-to-newick.md
@@ -1,16 +1,14 @@
-This program converts a distance matrix (computed from a %(view-data)s artifact) into a %(dendrogram)s. 
+You can send any matrix file to this program to get a %(dendrogram)s from it.
 
-It uses the numerical data in a %(view-data)s to compute a distance matrix behind the scenes, and then runs some hierarchical clustering to create a %(dendrogram)s for all of your items. 
-
-With all default parameters, a run would look like this:
+An example run would look like this:
 
 {{ codestart }}
-anvi-matrix-to-newick -o path/for/%(dendrogram)s \ 
-                      %(view-data)s 
+anvi-matrix-to-newick TAB_DELIMITED_DATA.txt \
+                      %(dendrogram)s
 {{ codestop }}
 
-If your input file has your samples as rows instead of columns, just add the flag `--transpose`. 
+By default, %(anvi-matrix-to-newick)s will cluster rows. With the flag `--transpose`, it will cluster columns.
 
-You can also ask for an additional output file: the order of the items in the resulting dendrogram as a %(misc-data-items-order)s in LIST format. To get this, simply provide a path to its desired location  with `--items-order-file`. 
+See [here](https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.distance.pdist.html) a list of distance metrics you can use, and [here](https://docs.scipy.org/doc/scipy/reference/generated/scipy.cluster.hierarchy.linkage.html) a list of linkage methods you can use.
 
-Additionally, for hierarchical clustering, you can change the distance metric (a full list of the available metrics can be found [here](https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.distance.pdist.html)) or the linkage method (though this is not recommended, the list of options can be found [here](https://docs.scipy.org/doc/scipy/reference/generated/scipy.cluster.hierarchy.linkage.html)).
+%(anvi-matrix-to-newick)s can handle missing data, but in that case the program will not normalize your data and will assume that it is already normalized.
diff --git a/anvio/docs/programs/anvi-merge-trnaseq.md b/anvio/docs/programs/anvi-merge-trnaseq.md
new file mode 100644
index 0000000000..d43c90990d
--- /dev/null
+++ b/anvio/docs/programs/anvi-merge-trnaseq.md
@@ -0,0 +1,36 @@
+This program **finds tRNA seed sequences from a set of tRNA-seq samples**.
+
+This program follows %(anvi-trnaseq)s in the %(trnaseq-workflow)s. %(anvi-trnaseq)s is run on each tRNA-seq sample, producing sample %(trnaseq-db)ss. A tRNA-seq database contains predictions of tRNA sequences, structures, and modification sites in the sample. anvi-merge-trnaseq takes as input the tRNA-seq databases from a set of samples. It compares tRNAs predicted from the samples, finding those in common and calculating their sample coverages. The final tRNA sequences predicted from all samples are called **tRNA seeds** and function like contigs in metagenomic experiments. Seeds are stored in a %(trnaseq-contigs-db)s and sample coverages are stored in a %(trnaseq-profile-db)s. These databases are **variants** of normal %(contigs-db)ss and %(profile-db)ss, performing similar functions in the anvi'o ecosystem but containing somewhat different information.
+
+Most of the heavy computational work in the %(trnaseq-workflow)s is performed by %(anvi-trnaseq)s. anvi-merge-trnaseq is meant run relatively quickly, allowing its parameters to be tuned to fit the dataset.
+
+The `anvi-merge-trnaseq --help` menu provides detailed explanations of the parameters controlling the multifacted analyses performed by the program.
+
+## Key parameters
+
+### Number of reported seeds
+
+One key parameter is the number of reported tRNA seed sequences (`--max-reported-trna-seeds`). The default value of 10,000 seeds is more appropriate for a complex microbial community than a pure culture of a bacterial isolate, which should yield a number of tRNA seeds equal to the number of expressed tRNAs, say ~30. Sequence artifacts may be reported in addition to the 30 actual tRNAs with a higher value like 10,000. Artifacts are relatively common despite intensive screening by %(anvi-trnaseq)s and anvi-merge-trnaseq due to nontemplated nucleotides and modification-induced mutations introduced into tRNA-seq reads by reverse transcription. In practice, artifacts are easy to distinguish from true tRNA seeds by analyzing seed coverage in %(anvi-interactive)s and checking seed homology to reference databases, among other measures.
+
+### Modification filters
+
+Other key parameters, `--min-variation` and `--min-third-fourth-nt`, determine the coverage cutoffs that distinguish predicted positions of modified nucleotides from single nucleotide variants. Compared to SNVs, modifications typically produce higher nucleotide variability to three or four different nucleotides. However, modification-induced mutations are often highly skewed to one other nucleotide rather than all three mutant nucleotides. Furthermore, the high coverage of seeds in many tRNA-seq libraries can uncover SNVs with a low-frequency third nucleotide rather than the expected two. Some SNVs that are wrongly called modifications can be easily spotted in %(anvi-interactive)s and the output of %(anvi-plot-trnaseq)s due to covariation at two positions in the seed as a result of base pairing. In other words, SNV frequencies are equivalent at the two base paired positions in every sample, where modification artifacts have no effect on nucleotide variability at another position across the molecule.
+
+## Examples
+
+*Merge two samples.*
+
+{{ codestart }}
+anvi-merge-trnaseq trnaseq_database_1 trnaseq_database_2 (...) \
+                   -o OUTPUT_DIRECTORY \
+                   -n PROJECT_NAME \
+{{ codestop }}
+
+*Merge two samples with and without demethylase treatment, giving priority to the demethylase split in calling the underlying nucleotide at modified positions.*
+
+{{ codestart }}
+anvi-merge-trnaseq untreated_trnaseq_database demethylase_trnaseq_database (...) \
+                   -o OUTPUT_DIRECTORY \
+                   -n PROJECT_NAME \
+                   --preferred-treatment demethylase
+{{ codestop }}
diff --git a/anvio/docs/programs/anvi-plot-trnaseq.md b/anvio/docs/programs/anvi-plot-trnaseq.md
new file mode 100644
index 0000000000..2e82c111c1
--- /dev/null
+++ b/anvio/docs/programs/anvi-plot-trnaseq.md
@@ -0,0 +1,9 @@
+This program **generates plots of groups of tRNA-seq seeds. The plots show seed coverages and the nucleotide frequencies at modification sites in each sample**.
+
+The %(trnaseq-workflow)s predicts tRNA seeds and their nucleotide modifications from a set of samples. The inspect webpage in %(anvi-interactive)s displays information on a selected seed, including coverages, mutation frequencies at predicted modification sites, and indel frequencies. anvi-plot-trnaseq generates plots that similarly show seed coverages in each sample but otherwise differ in many ways from the inspect page.
+
+This program generates plots for a user-defined group of seeds. Seeds may be grouped by tRNA taxonomy and/or amino acid/anticodon identity. All of the seeds in a taxonomic/anticodon group are represented on the same plot. For example, all Arg-ACG seeds resolving to family Lachnospiraceae can be displayed on a single plot. Each panel of the plot shows coverages of all the seeds in a given sample. If there are five Lachnospiraceae Arg-ACG seeds, then five coverage traces will be stacked atop each other in each subplot, the seed with the highest mean coverage on the bottom. Nucleotide frequencies at predicted modification positions are shown as bars, with sections of the bar for each of the four nucleotides. If three of the five seeds have a modification, say m1A22, then the total height of the bar will rise to the height of the summed coverage of the three seeds at position 22. The number of seeds represented by the group is displayed on the plot, and the mean and 3' (discriminator nucleotide) coverages of the group of seeds is displayed adjacent to each sample subplot.
+
+Multiple groups may be specified at the same time, producing a set of plots. If **only** a taxonomic group is given, then plots for **every** isoacceptor will be produced, e.g., Lachnospiraceae Arg-ACG, Arg-CCG, Arg-GCG, etc. If a taxonomic **rank** and anticodon is given, then plots for each taxon will be produced, e.g., at the family level, Lachnospiraceae Arg-ACG, Ruminococcaceae Arg-ACG, Bacteroidaceae Arg-ACG, etc.
+
+anvi-plot-trnaseq is interactive through the command prompt, allowing the required %(trnaseq-contigs-db)s, %(seeds-specific-txt)s, and %(modifications-txt)s to be loaded only once and plots to be generated on the fly. Aesthetic parameters of the plots can be tweaked through the program. A comprehensive help menu with examples appears upon starting the program.
diff --git a/anvio/docs/programs/anvi-run-hmms.md b/anvio/docs/programs/anvi-run-hmms.md
index 7c225fa5e5..f649c76db4 100644
--- a/anvio/docs/programs/anvi-run-hmms.md
+++ b/anvio/docs/programs/anvi-run-hmms.md
@@ -43,6 +43,17 @@ anvi-run-hmms -c %(contigs-db)s \
 
 See the relevant section in the artifact %(hmm-source)s for details.
 
+### Adding HMM hits as a functional annotation source
+
+By default, HMM hits are not considered functional annotations and are kept in a distinct table (the 'hmm_hits' table) in the contigs database. However, there are certain cases when you may want them to be considered as functions instead. For instance, if you want to run %(anvi-estimate-metabolism)s on a set of user-defined metabolic pathways and you have a set of custom HMMs for their enzymes.
+
+To treat the HMM hits as functional annotations and add them to the 'gene_functions' table in your database, you must use the `--add-to-functions-table` flag:
+
+{{ codestart }}
+anvi-run-hmms -c %(contigs-db)s \
+              -H MY_HMM_PROFILE \
+              --add-to-functions-table
+{{ codestop }}
 
 ### Changing the HMMER program
 
@@ -96,4 +107,3 @@ Please note that this output **won't be used to filter hits to be added to the c
 ### Other things anvi-run-hmms can do
 
 * Add the tag `--also-scan-trnas` to basically run %(anvi-scan-trnas)s for you at the same time. It's very convenient. (But it only works if you are not using the `-I` or `-H` flags at the same time because reasons.)
-
diff --git a/anvio/docs/programs/anvi-script-as-markdown.md b/anvio/docs/programs/anvi-script-as-markdown.md
new file mode 100644
index 0000000000..ae964cd9d8
--- /dev/null
+++ b/anvio/docs/programs/anvi-script-as-markdown.md
@@ -0,0 +1,122 @@
+A helper script to format TAB-delimited files in markdown for bloggers, tutorial writers, those who wish to share example anvi'o outputs as text on GitHub issues, and so on.
+
+Anvi'o programs often generate TAB-delimited files. While this simple format is useful to pass around to other software or share with others, it is not easily interpretable in visual media. The purpose of this script is to make the sharing part simpler for platforms that can render markdown.
+
+You can pipe any TAB-delimited content to this script:
+
+```
+cat file.txt | anvi-sript-as-markdown
+```
+
+## Examples
+
+Assume a TAB-delmited file with many lines:
+
+``` bash
+wc -l additional_view_data.txt
+
+301 additional_view_data.txt
+```
+
+Contents of which look like this:
+
+``` bash
+head -n 10 additional_view_data.txt
+
+contig	categorical_1	categorical_2	text_layer_01	numerical	bars_main!A	bars_main!B	bars_main!C
+backrest	b	y	nmwje	2.78	278	23	1
+backward	b	x	bqmyujr psrd doefhi	2.49	249	52	2
+backwind	b	y	hkfer lchpmzix	2.69	269	32	3
+backyard	b	x	advoe bfkyhmg	2.05	205	96	4
+bacteria	b	x	lqmcwn hywco	2.63	263	38	5
+bacterin	b		vxqdmn	2.98	298	3	6
+baetylus	b	x	fkgpydi owgyhfx xwlpj	2.19	219	82	7
+bagpiped	b	y	ijmnur	2.12	212	89	8
+balconet	b	y	ecizgs	2.89	289	12	9
+```
+
+### Default run
+
+{{ codestart }}
+head -n 10 additional_view_data.txt | %(anvi-script-as-markdown)s
+{{ codestop }}
+
+which is rendered as,
+
+|**contig**|**categorical_1**|**categorical_2**|**text_layer_01**|**numerical**|**bars_main!A**|**bars_main!B**|**bars_main!C**|
+|:--|:--|:--|:--|:--|:--|:--|:--|
+|backrest|b|y|nmwje|2.78|278|23|1|
+|backward|b|x|bqmyujr psrd doefhi|2.49|249|52|2|
+|backwind|b|y|hkfer lchpmzix|2.69|269|32|3|
+|backyard|b|x|advoe bfkyhmg|2.05|205|96|4|
+|bacteria|b|x|lqmcwn hywco|2.63|263|38|5|
+|bacterin|b||vxqdmn|2.98|298|3|6|
+|baetylus|b|x|fkgpydi owgyhfx xwlpj|2.19|219|82|7|
+|bagpiped|b|y|ijmnur|2.12|212|89|8|
+|balconet|b|y|ecizgs|2.89|289|12|9|
+
+### Limit the number of lines shown
+
+``` bash
+cat additional_view_data.txt | anvi-script-as-markdown --max-num-lines-to-show 10
+```
+
+which is rendered as,
+
+|**contig**|**categorical_1**|**categorical_2**|**text_layer_01**|**numerical**|**bars_main!A**|**bars_main!B**|**bars_main!C**|
+|:--|:--|:--|:--|:--|:--|:--|:--|
+|backrest|b|y|nmwje|2.78|278|23|1|
+|backward|b|x|bqmyujr psrd doefhi|2.49|249|52|2|
+|backwind|b|y|hkfer lchpmzix|2.69|269|32|3|
+|backyard|b|x|advoe bfkyhmg|2.05|205|96|4|
+|bacteria|b|x|lqmcwn hywco|2.63|263|38|5|
+|bacterin|b||vxqdmn|2.98|298|3|6|
+|baetylus|b|x|fkgpydi owgyhfx xwlpj|2.19|219|82|7|
+|bagpiped|b|y|ijmnur|2.12|212|89|8|
+|balconet|b|y|ecizgs|2.89|289|12|9|
+|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|
+
+### Code columns
+
+``` bash
+cat additional_view_data.txt | anvi-script-as-markdown --max-num-lines-to-show 10 \
+                                                       --code-column contig
+```
+
+which is rendered as,
+
+|**contig**|**categorical_1**|**categorical_2**|**text_layer_01**|**numerical**|**bars_main!A**|**bars_main!B**|**bars_main!C**|
+|:--|:--|:--|:--|:--|:--|:--|:--|
+|`backrest`|b|y|nmwje|2.78|278|23|1|
+|`backward`|b|x|bqmyujr psrd doefhi|2.49|249|52|2|
+|`backwind`|b|y|hkfer lchpmzix|2.69|269|32|3|
+|`backyard`|b|x|advoe bfkyhmg|2.05|205|96|4|
+|`bacteria`|b|x|lqmcwn hywco|2.63|263|38|5|
+|`bacterin`|b||vxqdmn|2.98|298|3|6|
+|`baetylus`|b|x|fkgpydi owgyhfx xwlpj|2.19|219|82|7|
+|`bagpiped`|b|y|ijmnur|2.12|212|89|8|
+|`balconet`|b|y|ecizgs|2.89|289|12|9|
+|(...)|(...)|(...)|(...)|(...)|(...)|(...)|(...)|
+
+### Exclude columns from the output
+
+``` bash
+cat additional_view_data.txt | anvi-script-as-markdown --max-num-lines-to-show 10 \
+                                                       --code-column contig \
+                                                       --exclude-columns 'bars_main!A,bars_main!B,bars_main!C'
+```
+
+which is rendered as,
+
+|**contig**|**categorical_1**|**categorical_2**|**text_layer_01**|**numerical**|
+|:--|:--|:--|:--|:--|
+|`backrest`|b|y|nmwje|2.78|
+|`backward`|b|x|bqmyujr psrd doefhi|2.49|
+|`backwind`|b|y|hkfer lchpmzix|2.69|
+|`backyard`|b|x|advoe bfkyhmg|2.05|
+|`bacteria`|b|x|lqmcwn hywco|2.63|
+|`bacterin`|b||vxqdmn|2.98|
+|`baetylus`|b|x|fkgpydi owgyhfx xwlpj|2.19|
+|`bagpiped`|b|y|ijmnur|2.12|
+|`balconet`|b|y|ecizgs|2.89|
+|(...)|(...)|(...)|(...)|(...)|
diff --git a/anvio/docs/programs/anvi-script-fix-homopolymer-indels.md b/anvio/docs/programs/anvi-script-fix-homopolymer-indels.md
index e525574e91..8cb08b1120 100644
--- a/anvio/docs/programs/anvi-script-fix-homopolymer-indels.md
+++ b/anvio/docs/programs/anvi-script-fix-homopolymer-indels.md
@@ -305,7 +305,7 @@ At the end, there were no more homopolymers associated with INDELs.
 
 **Please consider the following points**:
 
-* If the input and reference genomes are not closely related enough (i.e., expected ANI if there were no sequencing errors > 98%-99%), this process may yield very incorrect outcomes. But it should work great for genomes reconstructed from the same culture.
+* If the input and reference genomes are not closely related enough (i.e., expected ANI if there were no sequencing errors > 98%%-99%%), this process may yield very incorrect outcomes. But it should work great for genomes reconstructed from the same culture.
 
 * The iterative improvement of a given input genome may reach to a 'back-and-forth' situation where there is no overall improvement, but the homopolymers associated with INDELs do not reach to 0. This happens when there are repeats in the reference genome that are identical to each other expect the number of nucleotides in homopolymers.
 
@@ -396,4 +396,4 @@ anvi-pan-genome -g CORRECTED-BY-W48-MHL2-GENOMES.db \
 anvi-display-pan -g CORRECTED-BY-W48-MHL2-GENOMES.db \
                  -p CORRECTED-BY-W48-MHL2/CORRECTED-BY-W48-MHL2-PAN.db \
                  --title "W01 CORRECTED BY W48 w/MHL2"
-```
\ No newline at end of file
+```
diff --git a/anvio/docs/programs/anvi-script-reformat-fasta.md b/anvio/docs/programs/anvi-script-reformat-fasta.md
index 11faf45535..77bdc7f0d0 100644
--- a/anvio/docs/programs/anvi-script-reformat-fasta.md
+++ b/anvio/docs/programs/anvi-script-reformat-fasta.md
@@ -7,11 +7,19 @@ anvi-script-reformat-fasta %(fasta)s \
 {{ codestop }}
 
 {:.notice}
-If you use the flag *--report-file*, it will also create a TAB-delimited file for you to keep track of which defline in the new file corresponds to which defline in the original file.
+If you use the flag `--report-file`, it will also create a TAB-delimited file for you to keep track of which defline in the new file corresponds to which defline in the original file.
 
-### Removing the short reads
+In addition to simplifying names, this program will allow you to do a combination of the operations that include,
 
-Removing short contigs from a FASTA file will improve the performance of the %(contigs-db)s later. The example below runs the same command while also removing sequences that are shorter than 1,000 nts:
+* Add a prefix to sequnce names in a FASTA file,
+* Remove sequences that are shorter than a specific length or only keep sequences that match to a specific length,
+* Remove sequences if they contain more than a number of gap characters or exceed the precentage of gap characters you permit,
+* Exclude sequences that match to a list of sequence IDs, or only keep those that match to a list of sequence IDs,
+* Enforce a sequence type to replace any character with `N` for nucleotide sequences that are not A, C, T, or G, or replace any character with `X` for amino acid sequences if the character does not match any of the single-letter amino acid characters.
+
+### Removing the short reads is important
+
+If your FASTA file includes a lot of very short contigs, removing them may dramatically improve the performance of the generation and processing of your %(contigs-db)s. The example below runs the same command while also removing sequences that are shorter than 1,000 nts:
 
 {{ codestart }}
 anvi-script-reformat-fasta %(fasta)s \
@@ -20,3 +28,49 @@ anvi-script-reformat-fasta %(fasta)s \
                            --simplify-names
 {{ codestop }}
 
+### Example output
+
+```
+anvi-script-reformat-fasta contigs.fa \
+                           --simplify-names \
+                           --prefix YYY \
+                           --min-len 1000 \
+                           --seq-type NT \
+                           --overwrite-input
+```
+
+```
+Input ........................................: contigs.fa
+Output .......................................: (anvi'o will overwrite your input file)
+
+WHAT WAS THERE
+===============================================
+Total num contigs ............................: 4,189
+Total num nucleotides ........................: 35,766,167
+
+WHAT WAS ASKED
+===============================================
+Simplify deflines? ...........................: Yes
+Add prefix to sequence names? ................: Yes, add 'YYY'
+Minimum length of contigs to keep ............: 1,000
+Max %% gaps allowed ...........................: 100.00%%
+Max num gaps allowed .........................: 1,000,000
+Exclude specific sequences? ..................: No
+Keep specific sequences? .....................: No
+Enforce sequence type? .......................: Yes, enforce 'NT'
+
+WHAT HAPPENED
+===============================================
+Contigs removed ..............................: 3,156 (75.34%% of all)
+Nucleotides removed ..........................: 6,121,239 (17.11%% of all)
+Nucleotides modified .........................: 161 (0.00045%% of all)
+Deflines simplified ..........................: True
+
+
+* The contents of your input file have changed because you used the flag
+`--overwrite-input`.
+
+```
+
+{:.warning}
+Please use the flag `--overwrite-input` with extreme caution.
diff --git a/anvio/docs/programs/anvi-split.md b/anvio/docs/programs/anvi-split.md
index 1bda6c589d..8faa6bd157 100644
--- a/anvio/docs/programs/anvi-split.md
+++ b/anvio/docs/programs/anvi-split.md
@@ -1,24 +1,37 @@
-This program **creates smaller, self-contained anvi'o projects for each of the %(bin)ss in your project.** This is useful if you would like to share a subset of an anvi'o project. 
+Creates individual, self-contained anvi'o projects for one or more %(bin)ss stored in an anvi'o %(collection)s. This program may be useful if you would like to share a subset of an anvi'o project with the community or a collaborator, or focus on a particular aspect of your data without having to initialize very large files. Altogether, %(anvi-split)s promotoes reproducibility, openness, and collaboration.
 
-Simply provide either a %(contigs-db)s and %(profile-db)s pair or a %(genomes-storage-db)s and %(pan-db)s pair, as well as a %(collection)s, and it will create directories for each of your bins that contain their own databases and information. In other words, each of these directories will contain their own anvi'o projects that represent the contigs or genomes stored in that single bin. 
+The program can generate %(split-bins)s from metagenomes or pangenomes. To split bins, you can provide the program %(anvi-split)s with a %(contigs-db)s and %(profile-db)s pair. To split gene clusters, you can provide it with a %(genomes-storage-db)s and %(pan-db)s pair. In both cases you will also need a %(collection)s. If you don't provide any %(bin)s names, the program will create individual directories for each bin that is found in your collection. You can also limit the output to a single bin. Each of the resulting directories in your output folder will contain a stand-alone anvi'o project that can be shared without sharing any of the larger dataset.
 
-### An example run 
+### An example run
 
-For example, let's say a %(profile-db)s has a %(collection)s with three bins, which are (very creatively) called `BIN_1`, `BIN_2`, and `BIN_3`.  
+Assume you have a %(profile-db)s has a %(collection)s with three bins, which are (very creatively) called `BIN_1`, `BIN_2`, and `BIN_3`.
 
-If you ran the following code: 
+If you ran the following code:
 
 {{ codestart }}
 anvi-split -p %(profile-db)s \
            -c %(contigs-db)s \
            -C %(collection)s \
-           -o MY_PATH
+           -o OUTPUT
 {{ codestop }}
 
-Then in the location `MY_PATH`, you would have three folders: `BIN_1`, `BIN_2`, and `BIN_3`.  Each one contains its own %(profile-db)s and %(contigs-db)s that only contains the contigs from that bin. You can then give a fellow anvi'o user just the `BIN_1` directory and they can get to work. 
+Alternatively you can specify a bin name to limit the reported bins:
 
-Similarly, if you provide a %(genomes-storage-db)s and %(pan-db)s pair, the directories will contain their own smaller %(genomes-storage-db)s and %(pan-db)s pairs. 
+{{ codestart }}
+anvi-split -p %(profile-db)s \
+           -c %(contigs-db)s \
+           -C %(collection)s \
+           --bin-id BIN_1
+           -o OUTPUT
+{{ codestop }}
+
+Similarly, if you provide a %(genomes-storage-db)s and %(pan-db)s pair, the directories will contain their own smaller %(genomes-storage-db)s and %(pan-db)s pairs.
+
+You can always use the program %(anvi-show-collections-and-bins)s to learn available %(collection)s and %(bin)s names in a given %(profile-db)s or %(pan-db)s.
+
+### Performance
 
-### Other options 
+For extremely large datasets, splitting bins may be difficult. For metagenomics projets you can,
 
-You are also able to skip generating variability tables or compress the auxiliary data to save space. 
+* Use the flag `--skip-variability-tables` to NOT report single-nucleotide variants or single-amino acid variants in your split bins (which can reach hundreds of millions of lines of information for large and complex metagenomes), and/or,
+* Use the flag `--compress-auxiliary-data` to save space. While this is a great option for data that is meant to be stored long-term and shared with the community, the compressed file would need to be manually decompressed by the end-user prior to using the split bin.
diff --git a/anvio/docs/programs/anvi-tabulate-trnaseq.md b/anvio/docs/programs/anvi-tabulate-trnaseq.md
new file mode 100644
index 0000000000..354fa87749
--- /dev/null
+++ b/anvio/docs/programs/anvi-tabulate-trnaseq.md
@@ -0,0 +1,9 @@
+This program **generates tabular files of tRNA-seq seed coverage and modification data that are easily manipulable by the user**.
+
+anvi-tabulate-trnaseq is part of the %(trnaseq-workflow)s, and is run following the finalization of tRNA seeds by %(anvi-merge-trnaseq)s.
+
+This program generates a table, %(seeds-specific-txt)s, containing the specific coverage of each nucleotide position in each seed in every sample. If a nonspecific %(trnaseq-profile-db)s is also provided, this program generates a table of nonspecific coverages, %(seeds-non-specific-txt)s. The distinction between specific and nonspecific coverage is explained in the %(trnaseq-profile-db)s artifact. These coverage tables have one row per seed per sample. They have three header rows for different ways of describing tRNA nucleotide positions: canonical position name (e.g., "discriminator_1"), canonical position (e.g., "73"), and "ordinal" position relative to all the other **possible** positions (e.g., "95").
+
+anvi-tabulate-trnaseq also generates a table, %(modifications-txt)s, containing information on each predicted modification position in each seed, with one row per modification per seed per sample. This table includes four columns of position coverage counts of the four nucleotides.
+
+All tables include taxonomic annotations of the seeds; annotations are added to the %(trnaseq-contigs-db)s by %(anvi-run-trna-taxonomy)s.
diff --git a/anvio/docs/programs/anvi-trnaseq.md b/anvio/docs/programs/anvi-trnaseq.md
index 90628614ff..eae82446d8 100644
--- a/anvio/docs/programs/anvi-trnaseq.md
+++ b/anvio/docs/programs/anvi-trnaseq.md
@@ -1,30 +1,45 @@
-The input for this program is a **properly formatted** %(trnaseq-fasta)s, containing sequences from a tRNA-seq sample or split.
+This program **analyzes a tRNA-seq library, generating de novo predictions of tRNA sequences, structures, and modification positions**.
 
-The program identifies tRNA among the input sequences, profiles the tRNA primary sequence and secondary structure, and filters single nucleotide variants from modified nucleotides.
+A FASTA file of merged paired-end tRNA-seq reads is required as input. This file is produced by the initial steps of the %(trnaseq-workflow)s, in which [Illumina-utils](https://github.com/merenlab/illumina-utils), merges paired-end reads and %(anvi-script-reformat-fasta)s creates anvi'o-compliant deflines in the FASTA file.
 
-The primary output of the program is a %(trnaseq-db)s. Supplemental files are also produced: an analysis summary file, a tab-separated file of unique sequences not identified as tRNA, and a tab-separated file showing the range of 5' and 3' variants trimmed from tRNA sequences.
+The primary output of anvi-trnaseq is a %(trnaseq-db)s. Supplemental outputs are also produced -- an analysis summary, a tabular file of unique sequences not identified as tRNA, an a tabular file of 5' and 3' extensions trimmed off mature tRNA.
 
-We encourage you to read the list of options in the `anvi-trnaseq --help` menu to understand how the user can manipulate the multifaceted analyses performed by the program.
+The `anvi-trnaseq --help` menu provides detailed explanations of the parameters controlling the multifacted analyses performed by the program.
 
-The program can generate a .ini file for tRNA feature parameterization using an alternate command, `anvi-trnaseq --default-feature-param-file <param.ini>`. The default parameterizations in the file can be modified by the user, and the file can be used as the `--feature-param-file` argument in the main mode of the program. `anvi-trnaseq --print-default-feature-params` can also be used to quickly and neatly display the defaults in the terminal.
+## Examples
 
-
-### Create a tRNA-seq database from a FASTA file, using 16 cores
+*Generate a %(trnaseq-db)s from a sample using 16 cores.*
 
 {{ codestart }}
 anvi-trnaseq -f %(trnaseq-fasta)s \
-             -S example_sample_name \
-             -o example_empty_output_directory_path \
+             -S SAMPLE_NAME \
+             -o OUTPUT_DIRECTORY \
              -T 16
 {{ codestop }}
 
-### Create a tRNA-seq database from a sample identified as a demethylase split, overwriting the output directory if it already exists
+*Generate a %(trnaseq-db)s from a sample flagged as being treated with demethylase. The output directory is overwritten if it already exists.*
 
 {{ codestart }}
 anvi-trnaseq -f %(trnaseq-fasta)s \
-             -S example_sample_name \
-             -o example_empty_output_directory_path \
+             -S SAMPLE_NAME \
+             -o OUTPUT_DIRECTORY \
              -T 16 \
              --treatment demethylase \
-             -W
-{{ codestop }}
\ No newline at end of file
+             --overwrite-output-destinations
+{{ codestop }}
+
+## Parameterize tRNA feature profiling
+
+Feature profiling parameters can be modified by the user by in an optional `.ini` file. For example, the user may want a more permissive definition of a tRNA (more false positive identifications of sequences as tRNA, fewer false negative failures to identify sequences as tRNA), increasing the number of unpaired nucleotides allowed in the T stem or increasing the number of unconserved canonical nucleotides allowed in the anticodon loop. Numerous structural parameters like these can be altered.
+
+*Write the `.ini` file to `param.ini`.*
+
+{{ codestart }}
+anvi-trnaseq --default-feature-param-file PARAM.ini
+{{ codestop }}
+
+*Nicely display the `.ini` defaults that can be written to the file in standard output.*
+
+{{ codestart }}
+anvi-trnaseq --print-default-feature-params
+{{ codestop }}
diff --git a/anvio/docs/programs/anvi-update-structure-database.md b/anvio/docs/programs/anvi-update-structure-database.md
index aee3e51945..f231c51402 100644
--- a/anvio/docs/programs/anvi-update-structure-database.md
+++ b/anvio/docs/programs/anvi-update-structure-database.md
@@ -26,4 +26,5 @@ anvi-update-structure-database -c %(contigs-db)s \
 Now, the program will rerun the analysis for gene 1 and will still add genes 4 and 5 to the %(structure-db)s. 
 
 Both of these runs will have the same MODELLER parameters as your run of %(anvi-gen-structure-database)s. However, to get the raw outputs, you will need to use the parameter `--dump-dir`. You can also set a specific MODELLER program with `--modeller-executable`. Parameters for multi-threading would also have to be given again.
-
+{:.notice}
+Like %(anvi-gen-structure-database)s, this program also accepts %(external-structures)s.
diff --git a/anvio/drivers/MODELLER.py b/anvio/drivers/MODELLER.py
index 27c63e9b19..1baa9aaa39 100644
--- a/anvio/drivers/MODELLER.py
+++ b/anvio/drivers/MODELLER.py
@@ -28,7 +28,7 @@
 __email__ = "kiefl.evan@gmail.com"
 
 
-up_to_date_modeller_exec = "mod9.23" # default exec to use
+up_to_date_modeller_exec = "mod10.1" # default exec to use
 
 J = lambda x, y: os.path.join(x, y)
 
diff --git a/anvio/drivers/emapper.py b/anvio/drivers/emapper.py
index 6bc2011c15..a03dd635c5 100644
--- a/anvio/drivers/emapper.py
+++ b/anvio/drivers/emapper.py
@@ -102,7 +102,8 @@ def __init__(self, args, database='bact', executable = 'emapper.py', usemem=True
         self.available_parsers = {'2.0.0': self.__parser_3,
                                   '2.0.1': self.__parser_3,
                                   '2.0.5': self.__parser_4,
-                                  '2.1.4': self.__parser_5}
+                                  '2.1.4': self.__parser_5,
+                                  '2.1.6': self.__parser_5}
 
         self.check_version()
 
@@ -320,8 +321,6 @@ def __parser_5(self, defline):
         F = lambda x: fields[x] and fields[x] != '-'
         A = lambda x, y: self.add_entry(gene_callers_id, y, fields[1], ', '.join(fields[x].split(',')), fields[2]) if (fields[x] and fields[x] != '-') else None
 
-        A(9, 'EGGNOG_GO_TERMS')
-
         if (F(7) and not fields[7].startswith('Protein of unknown function')):
             if F(8):
                 self.add_entry(gene_callers_id, 'EGGNOG_%s' % self.database.upper(), fields[1], "%s :: %s" % (fields[8], fields[7]), fields[2])
@@ -340,15 +339,19 @@ def __parser_5(self, defline):
                 pass
 
         A(8, 'EGGNOG_GENE_FUNCTION_NAME')
-        A(6, 'EGGNOG_GO_TERMS')
+        A(9, 'EGGNOG_GO_TERMS')
+        A(6, 'EGGNOG_COG_CATEGORY')
         A(10, 'EGGNOG_EC_NUMBER')
         A(11, 'EGGNOG_KEGG_KO')
         A(12, 'EGGNOG_KEGG_PATHWAYS')
         A(13, 'EGGNOG_KEGG_MODULE')
+        A(13, 'EGGNOG_KEGG_REACTION')
+        A(15, 'EGGNOG_KEGG_RCLASS')
         A(16, 'EGGNOG_BRITE')
         A(17, 'EGGNOG_KEGG_TC')
         A(18, 'EGGNOG_CAZy')
         A(19, 'EGGNOG_BiGG_REACTIONS')
+        A(20, 'EGGNOG_PFAMs')
 
 
     def store_annotations_in_db(self, drop_previous_annotations=False):
diff --git a/anvio/drivers/hmmer.py b/anvio/drivers/hmmer.py
index c161da80b4..a34e835885 100644
--- a/anvio/drivers/hmmer.py
+++ b/anvio/drivers/hmmer.py
@@ -207,12 +207,19 @@ def run_hmmer(self, source, alphabet, context, kind, domain, num_genes_in_model,
 
         num_parts = len(self.target_files_dict[target])
         cores_per_process = 1
+        original_num_threads_requested = None
         if num_parts < self.num_threads_to_use:
             cores_per_process = self.num_threads_to_use // num_parts
 
             self.run.warning(f"You requested {P('core', self.num_threads_to_use)} but there were only {P('sequence', num_parts)} "
                              f"in the FASTA file for the target '{target}'. Anvi'o will use {P('process', num_parts, sfp='es')} "
                              f"with {P('core', cores_per_process)} instead. And that's that.")
+
+            # if we need to change the number of threads for a SINGLE run, then we need to keep
+            # in mind and set the originally reqeusted number of threads. not doing that leads
+            # to an extremely tricky bug that is described here thanks to help from Daan Speth:
+            # https://github.com/merenlab/anvio/issues/1748
+            original_num_threads_requested = self.num_threads_to_use
             self.num_threads_to_use = num_parts
 
         if alphabet in ['DNA', 'RNA'] and self.program_to_use == 'hmmsearch':
@@ -325,7 +332,12 @@ def run_hmmer(self, source, alphabet, context, kind, domain, num_genes_in_model,
             worker.terminate()
 
         self.progress.end()
-        self.run.info_single('Done 🎊', level=0, nl_after=1, mc="cyan")
+
+        if original_num_threads_requested:
+            self.num_threads_to_use = original_num_threads_requested
+            self.run.info_single(f'Done with {source} 🎊 (and num threads requested is set back to {self.num_threads_to_use}).', level=0, nl_before=1, nl_after=1, mc="cyan")
+        else:
+            self.run.info_single(f'Done with {source} 🎊', level=0, nl_before=1, nl_after=1, mc="cyan")
 
         output_file_paths = []
         for output in desired_output:
diff --git a/anvio/drivers/mcl.py b/anvio/drivers/mcl.py
index c10d3ac798..a36a23b6d0 100644
--- a/anvio/drivers/mcl.py
+++ b/anvio/drivers/mcl.py
@@ -6,6 +6,7 @@
 import anvio
 import anvio.utils as utils
 import anvio.terminal as terminal
+import anvio.filesnpaths as filesnpaths
 
 from anvio.errors import ConfigError
 
@@ -35,10 +36,13 @@ def __init__(self, mcl_input_file_path, run=run, progress=progress, num_threads=
 
         utils.is_program_exists('mcl')
 
-        self.clusters_file_path = 'mcl-clusters.txt'
+        # if the programmer wishes to store the clusters output file in a particular
+        # location, they will have to explicitly set the path after gettinga an
+        # instance of this class
+        self.clusters_file_path = filesnpaths.get_temp_file_path()
 
         if not self.run.log_file_path:
-            self.run.log_file_path = 'mcl-log-file.txt'
+            self.run.log_file_path = filesnpaths.get_temp_file_path()
 
 
     def check_output(self, expected_output, process='diamond'):
@@ -48,14 +52,15 @@ def check_output(self, expected_output, process='diamond'):
                                "Please check the log file here: '%s." % (process, self.run.log_file_path))
 
 
-    def get_clusters_dict(self):
+    def get_clusters_dict(self, name_prefix='GC'):
         self.cluster()
 
         clusters_dict = {}
 
         line_no = 1
         for line in open(self.clusters_file_path).readlines():
-            clusters_dict['GC_%08d' % line_no] = line.strip().split('\t')
+            cluster_name = f"{name_prefix}_{line_no:08d}"
+            clusters_dict[cluster_name] = line.strip().split('\t')
 
             line_no += 1
 
diff --git a/anvio/drivers/trnscan_se.py b/anvio/drivers/trnscan_se.py
index 2e2b4b6147..fa6d028804 100644
--- a/anvio/drivers/trnscan_se.py
+++ b/anvio/drivers/trnscan_se.py
@@ -32,7 +32,7 @@ class tRNAScanSE:
     def __init__(self, args, program_name='tRNAscan-SE', run=None, progress=None, skip_sanity_check=False):
         self.program_name = program_name
 
-        self.tested_versions = ['2.0.5', '2.0.7']
+        self.tested_versions = ['2.0.5', '2.0.7', '2.0.9']
 
         A = lambda x: args.__dict__[x] if x in args.__dict__ else None
         self.num_threads = A('num_threads') or 1
diff --git a/anvio/hmmops.py b/anvio/hmmops.py
index 831dd908b1..40b8413d65 100644
--- a/anvio/hmmops.py
+++ b/anvio/hmmops.py
@@ -818,3 +818,62 @@ def store_hmm_sequences_into_FASTA(self, hmm_sequences_dict_for_splits, output_f
             self.__store_concatenated_hmm_sequences_into_FASTA(hmm_sequences_dict_for_splits, output_file_path, partition_file_path, wrap, separator, genes_order, align_with, just_do_it)
         else:
             self.__store_individual_hmm_sequences_into_FASTA(hmm_sequences_dict_for_splits, output_file_path, wrap, separator, genes_order, align_with)
+
+
+class NumGenomesEstimator(SequencesForHMMHits):
+    """A simple interface to get estimated number of genomes from a contigs database.
+
+    Notes for programmers
+    =====================
+    - Major changes in this class should consdier the use case example
+      in `anvio/docs/artifacts/contigs-db.md`.
+    """
+    def __init__(self, contigs_db_path, run=terminal.Run(verbose=False), progress=terminal.Progress(verbose=False)):
+        self.run = run
+        self.progress = progress
+        self.contigs_db_path = contigs_db_path
+
+        SequencesForHMMHits.__init__(self, self.contigs_db_path, run=self.run, progress=self.progress)
+
+        self.estimates_dict = self.get_num_genomes_from_SCG_sources_dict()
+
+        self.per_domain_totals = {}
+        for entry in self.estimates_dict.values():
+            if entry['domain'] not in self.per_domain_totals:
+                self.per_domain_totals[entry['domain']] = 0
+
+            self.per_domain_totals[entry['domain']] += entry['num_genomes']
+
+
+    def num_genomes(self, for_domains=[]):
+        """Higher-order estimate for the number of genomes
+
+        Parameters
+        ==========
+        for_domains, list:
+            The SCG domains you wish the get a tally for. By default, the function will return number of
+            genomes found in all domains.
+
+        Returns
+        =======
+            <num_genomes, domains>, tuple:
+                This function will return a tuple with two items. The first is the total number of genomes
+                estimated, and the second is the domains used for this estimate.
+        """
+
+        if for_domains:
+            missing_domains = [d for d in for_domains if d not in self.per_domain_totals]
+            if len(missing_domains):
+                raise ConfigError(f"One of more of the domains you have requested do not seem to be among those that "
+                                  f"anvi'o knows about \"{', '.join(missing_domains)}\". If what you are seeing is not "
+                                  f"due to a typo, this can happen if you don't have the single-copy core gene set "
+                                  f"to estimate number of genomes that belong to this domain. You perhaps do not have "
+                                  f"them because you didn't run the program `anvi-run-hmms` on your contigs-db with all "
+                                  f"the default HMM collections, or you are a dreamer who wishes some domain you are "
+                                  f"working with is total news to anvi'o. If it is the latter, please get in touch with "
+                                  f"us.")
+
+        if not for_domains:
+            for_domains = list(self.per_domain_totals.keys())
+
+        return (sum([self.per_domain_totals[d] for d in for_domains]), for_domains)
diff --git a/anvio/merger.py b/anvio/merger.py
index 5ed40dccda..ae2d30c178 100644
--- a/anvio/merger.py
+++ b/anvio/merger.py
@@ -66,7 +66,7 @@ def __init__(self, args, run=run, progress=progress):
         self.profiles = []
         self.num_profile_dbs = None
         self.split_names = None
-        self.sample_ids_found_in_input_dbs = []
+        self.sample_tuples_from_input_dbs = []
 
         self.profile_dbs_info_dict = {}
 
@@ -266,11 +266,11 @@ def sanity_check(self):
 
         self.populate_layer_additional_data_dict()
 
-        self.sample_ids_found_in_input_dbs = sorted([v['sample_id'] for v in list(self.profile_dbs_info_dict.values())])
-        if len(self.profile_dbs_info_dict) != len(set(self.sample_ids_found_in_input_dbs)):
+        self.sample_tuples_from_input_dbs = sorted([(v['sample_id'], v['fetch_filter'], v['min_percent_identity']) for v in list(self.profile_dbs_info_dict.values())])
+        if len(self.profile_dbs_info_dict) != len(set(self.sample_tuples_from_input_dbs)):
             raise ConfigError("Sample ids in each single profile database to be merged must be unique. But it is not the case "
                               "with your input :/ Here are the sample names in case you would like to find out which ones occur "
-                              "more than once: '%s'" % (', '.join(self.sample_ids_found_in_input_dbs)))
+                              "more than once: '%s'" % (', '.join([tpl[0] for tpl in self.sample_tuples_from_input_dbs])))
 
         self.num_profile_dbs = len(self.profile_dbs_info_dict)
 
@@ -468,13 +468,18 @@ def merge(self):
 
         self.total_reads_mapped_per_sample = dict([(s, self.layer_additional_data_dict['default'][s]['total_reads_mapped']) for s in self.layer_additional_data_dict['default']])
 
-        sample_ids_list = ', '.join(sorted(self.sample_ids_found_in_input_dbs))
-        total_reads_mapped_list = ', '.join([str(self.total_reads_mapped_per_sample[sample_id]) for sample_id in self.sample_ids_found_in_input_dbs])
+        sample_ids_list = ', '.join([tpl[0] for tpl in self.sample_tuples_from_input_dbs])
+        sample_fetch_filters_list = ', '.join([tpl[1] or 'None' for tpl in self.sample_tuples_from_input_dbs])
+        sample_min_pct_identity_of_short_reads_list = ', '.join([f"{tpl[2]}" for tpl in self.sample_tuples_from_input_dbs])
+
+        total_reads_mapped_list = ', '.join([str(self.total_reads_mapped_per_sample[tpl[0]]) for tpl in self.sample_tuples_from_input_dbs])
 
         meta_values = {'db_type': 'profile',
                        'anvio': __version__,
                        'sample_id': self.sample_id,
                        'samples': sample_ids_list,
+                       'fetch_filter': sample_fetch_filters_list,
+                       'min_percent_identity': sample_min_pct_identity_of_short_reads_list,
                        'total_reads_mapped': total_reads_mapped_list,
                        'merged': True,
                        'blank': False,
@@ -501,8 +506,10 @@ def merge(self):
         self.run.info('profile_db', self.merged_profile_db_path)
         self.run.info('merged', True)
         self.run.info('contigs_db_hash', self.contigs_db_hash)
-        self.run.info('num_runs_processed', len(self.sample_ids_found_in_input_dbs))
+        self.run.info('num_runs_processed', len(sample_ids_list))
         self.run.info('merged_sample_ids', sample_ids_list)
+        self.run.info('fetch_filter', sample_fetch_filters_list)
+        self.run.info('min_percent_identity', sample_min_pct_identity_of_short_reads_list)
         self.run.info("Common layer additional data keys", ', '.join(self.layer_additional_data_keys))
         self.run.info('total_reads_mapped', total_reads_mapped_list)
         self.run.info('cmd_line', utils.get_cmd_line(), align_long_values=False)
diff --git a/anvio/migrations/contigs/v9_to_v10.py b/anvio/migrations/contigs/v9_to_v10.py
index 10b9c4f2e2..246b8c2fb4 100755
--- a/anvio/migrations/contigs/v9_to_v10.py
+++ b/anvio/migrations/contigs/v9_to_v10.py
@@ -12,9 +12,6 @@
 
 from anvio.errors import ConfigError
 
-utils.check_h5py_module()
-import h5py
-
 current_version = "9"
 next_version = "10"
 
@@ -33,6 +30,10 @@ def convert_numpy_array_to_binary_blob(array, compress=True):
 
 
 def migrate(db_path):
+
+    utils.check_h5py_module()
+    import h5py
+
     if db_path is None:
         raise ConfigError("No database path is given.")
 
diff --git a/anvio/migrations/modules/v1_to_v2.py b/anvio/migrations/modules/v1_to_v2.py
index da16b930d5..63aee97e8b 100755
--- a/anvio/migrations/modules/v1_to_v2.py
+++ b/anvio/migrations/modules/v1_to_v2.py
@@ -32,9 +32,9 @@ def migrate(db_path):
 
     # split any orthology entries with multiple KOs into separate lines
     where_clause = "data_name = 'ORTHOLOGY' AND (data_value LIKE '%+%' OR data_value LIKE '%-%')"
-    bad_rows = modules_db.get_some_rows_from_table("kegg_modules", where_clause)
+    bad_rows = modules_db.get_some_rows_from_table("modules", where_clause)
 
-    modules_db.remove_some_rows_from_table("kegg_modules", where_clause)
+    modules_db.remove_some_rows_from_table("modules", where_clause)
 
     good_rows = []
     for mod, orth, kos, definition, line in bad_rows:
@@ -47,7 +47,7 @@ def migrate(db_path):
                                   "and the string that it came from is %s." % (ko, kos))
             good_rows.append((mod, orth, ko, definition, line))
 
-    modules_db.insert_many("kegg_modules", entries=good_rows)
+    modules_db.insert_many("modules", entries=good_rows)
 
 
     prev_total_entries = modules_db.get_meta_value('total_entries')
diff --git a/anvio/migrations/modules/v2_to_v3.py b/anvio/migrations/modules/v2_to_v3.py
new file mode 100644
index 0000000000..ebb1a9e16f
--- /dev/null
+++ b/anvio/migrations/modules/v2_to_v3.py
@@ -0,0 +1,59 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+
+import sys
+import argparse
+import re
+
+import anvio.db as db
+import anvio.utils as utils
+import anvio.terminal as terminal
+
+from anvio.errors import ConfigError
+
+current_version, next_version = [x[1:] for x in __name__.split('_to_')]
+
+run = terminal.Run()
+progress = terminal.Progress()
+
+
+def migrate(db_path):
+    if db_path is None:
+        raise ConfigError("No database path is given.")
+
+    utils.is_kegg_modules_db(db_path)
+
+    # make sure the current version is 2
+    modules_db = db.DB(db_path, None, ignore_version = True)
+    if str(modules_db.get_version()) != current_version:
+        modules_db.disconnect()
+        raise ConfigError("Version of this modules database is not %s (hence, "
+                          "this script cannot really do anything)." % current_version)
+
+    # change name of modules table from 'kegg_modules' to 'modules'
+    modules_db._exec('''ALTER TABLE kegg_modules RENAME TO modules''')
+
+    # add 'annotation_sources' and 'data_source' to self table
+    modules_db.set_meta_value('annotation_sources', 'KOfam')
+    modules_db.set_meta_value('data_source', 'KEGG')
+
+    # update version and exit
+    modules_db.remove_meta_key_value_pair('version')
+    modules_db.set_version(next_version)
+    modules_db.disconnect()
+
+    run.info_single("Okie-dokie. Your modules db is now %s. The modules table was re-named and some self table "
+                    "attributes were added to accommodate user-defined metabolism data."
+                    % (next_version), nl_after=1, nl_before=1, mc='green')
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description='A simple script to upgrade KEGG Modules database from version 2 to version 3')
+    parser.add_argument('modules_db', metavar = 'MODULES_DB', help = 'KEGG Modules database')
+    args, unknown = parser.parse_known_args()
+
+    try:
+        migrate(args.modules_db)
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
diff --git a/anvio/migrations/profile/v21_to_v22.py b/anvio/migrations/profile/v21_to_v22.py
index f12093e1f6..3370e33ab9 100755
--- a/anvio/migrations/profile/v21_to_v22.py
+++ b/anvio/migrations/profile/v21_to_v22.py
@@ -13,9 +13,6 @@
 
 from anvio.errors import ConfigError
 
-utils.check_h5py_module()
-import h5py
-
 current_version = "21"
 next_version = "22"
 
@@ -39,6 +36,10 @@ def convert_numpy_array_to_binary_blob(array, compress=True):
 
 
 def migrate(db_path):
+
+    utils.check_h5py_module()
+    import h5py
+
     if db_path is None:
         raise ConfigError("No database path is given.")
 
diff --git a/anvio/migrations/profile/v37_to_v38.py b/anvio/migrations/profile/v37_to_v38.py
new file mode 100755
index 0000000000..3556b7cd79
--- /dev/null
+++ b/anvio/migrations/profile/v37_to_v38.py
@@ -0,0 +1,98 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+
+import sys
+import argparse
+
+import anvio.db as db
+import anvio.utils as utils
+
+import anvio.terminal as terminal
+
+from anvio.errors import ConfigError
+
+current_version, next_version = [x[1:] for x in __name__.split('_to_')]
+
+run = terminal.Run()
+progress = terminal.Progress()
+
+def migrate(db_path):
+    if db_path is None:
+        raise ConfigError("No database path is given.")
+
+    utils.is_profile_db(db_path)
+
+
+    profile_db = db.DB(db_path, None, ignore_version = True)
+
+    is_blank = profile_db.get_meta_value('blank')
+    is_merged = profile_db.get_meta_value('merged')
+
+    progress.new("Durr Durr")
+    progress.update('...')
+
+    msg = ""
+
+    if is_blank:
+        # nothing to be done since we don't have
+        # fetch filters for blank profiles
+        msg = "But this was a blank profile database, so anvi'o did nothing."
+        pass
+    elif is_merged:
+        # we need to update dis.
+        try:
+            profile_db.remove_meta_key_value_pair('fetch_filter')
+        except:
+            pass
+
+        samples = profile_db.get_meta_value('samples').split(',')
+        profile_db.set_meta_value('fetch_filter', ', '.join(['None'] * len(samples)))
+
+        msg = ("This was a merged profile database, so anvi'o assumed none of the single profiles "
+               "had any fetch filters, and marked them as such.")
+
+        # BEWARE OF THIS CHEATING.
+        # yes we are not here for this, but we will squeeze it in anyway. so far we have not been
+        # tracking specific 'min percent identity' paramters set for individual single profiles
+        # to filter short reads that are taken into consideration during profiling. but at this
+        # stage of the codebase, the merger class does store that informaiton in merged profile
+        # self tables, so we are also reprsenting that information in previous versions of
+        # merged profile databases:
+        profile_db.set_meta_value('min_percent_identity', ', '.join(['0.0'] * len(samples)))
+    else:
+        try:
+            profile_db.remove_meta_key_value_pair('fetch_filter')
+        except:
+            pass
+
+        profile_db.set_meta_value('fetch_filter', 'None')
+
+        msg = ("This was a single profile database, so anvi'o marked it with a blank fetch filter (which "
+               "really is the case since fetch filters are just being introduced in anvi'o, and any single "
+               "profile database that was generated in previous versions do not have any fetch filters (unless "
+               "you are Florian -- because if you are, you need to re-profile all your databases you had profiled "
+               "profiled with a fetch filter).")
+
+    profile_db.set_version(next_version)
+
+    #              خدا حافظ
+    profile_db.disconnect()
+
+    progress.end()
+
+    run.info_single(f"The profile database is now {next_version}. We just added a very fancy feature in anvi'o, "
+                    f"'fetch filter', that enables you to define very specific filters regarding what to work with "
+                    f"from BAM files during profiling, and this update is all about that. {msg}",
+                    nl_after=1, nl_before=1, mc='green')
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description='A simple script to upgrade PROFILE.db from version %s to version %s' % (current_version, next_version))
+    parser.add_argument('profile_db', metavar = 'PROFILE_DB', help = 'Profile database at version %s' % current_version)
+    args, unknown = parser.parse_known_args()
+
+    try:
+        migrate(args.profile_db)
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
diff --git a/anvio/panops.py b/anvio/panops.py
index a2329e3d27..ebb5155420 100644
--- a/anvio/panops.py
+++ b/anvio/panops.py
@@ -87,6 +87,7 @@ def __init__(self, args=None, run=run, progress=progress):
         self.description_file_path = A('description')
         self.skip_hierarchical_clustering = A('skip_hierarchical_clustering')
         self.enforce_hierarchical_clustering = A('enforce_hierarchical_clustering')
+        self.enforce_the_analysis_of_excessive_number_of_genomes = anvio.USER_KNOWS_IT_IS_NOT_A_GOOD_IDEA
 
         self.additional_params_for_seq_search = A('additional_params_for_seq_search')
         self.additional_params_for_seq_search_processed = False
@@ -715,6 +716,21 @@ def sanity_check(self):
             raise ConfigError("There must be at least two genomes for this workflow to work. You have like '%d' of them :/" \
                     % len(self.genomes))
 
+        if len(self.genomes) > 100:
+            if self.enforce_the_analysis_of_excessive_number_of_genomes:
+                self.run.warning(f"Because you asked for it, anvi'o WILL analyze your {pp(len(self.genomes))} genomes. Perhaps it will "
+                                 f"fail, but it will fail while trying.", header="YOU HAVE USED YOUR AUTHORITY ⚔️")
+            else:
+                raise ConfigError(f"Sorry for making you wait this long to tell you this, but you have a total of {pp(len(self.genomes))} "
+                                  f"genomes to process, and anvi'o may not be the best platform to do that. The anvi'o pangenomics workflow "
+                                  f"is designed for interactive and in-depth investigations of microbial pangenomes. While one can "
+                                  f"certainly perform an in-depth investigation of their {pp(len(self.genomes))} genomes by turning them "
+                                  f"into a pangenome, they will unlikely manage to do it with anvi'o with more than about 100 genomes. "
+                                  f"We can't stop you if you insist running a pangenomic analyses on your genomes ANYWAY. For instance, "
+                                  f"you can easily force anvi'o to start the analysis using the flag `--I-know-this-is-not-a-good-idea`. "
+                                  f"But by using that flag, you will be forfeiting your privilege to complain to anvi'o developers if "
+                                  f"something goes wrong with your analyses :)")
+
         if self.skip_alignments and self.align_with:
             raise ConfigError("You are asking anvi'o to skip aligning sequences within your gene clusters, and then you "
                               "are also asking it to use '%s' for aligning sequences within your gene clusters. It is easy "
diff --git a/anvio/programs.py b/anvio/programs.py
index 41a13fb96d..6691318b98 100644
--- a/anvio/programs.py
+++ b/anvio/programs.py
@@ -88,7 +88,12 @@ def get_param_set(output):
         desc = ''
         _params = J([p for p in get_until_blank(output) if not p.startswith('  -h, --help')])
     else:
+        output.pop(0)
         section = output.pop(0)
+
+        if section.startswith('━'):
+            return None, None, None
+
         if output[0].startswith('  -'):
             # no description, goes into params immediately (someone did a crappy job)
             desc = ''
@@ -121,29 +126,28 @@ def parse_help_output(output):
     if not output[0].startswith('usage:'):
         raise ConfigError("This output does not seem to have the proper usage statement.")
 
-    usage = J([l[7:] for l in get_until_blank(output)])
+    usage = J([l for l in get_until_blank(output)])
 
     if output.pop(0) != '':
         raise ConfigError("This output is missing the description start marker.")
 
-    description = J(get_until_blank(output))
-
     params = {}
     while 1:
-        if output.pop(0) != '':
-            raise ConfigError("The params section does not seem to be where this script expects to find it.")
-
         if not len(output):
             break
 
         section, desc, _params = get_param_set(output)
+
+        if section == None:
+            break
+
         if _params == '':
             pass
         else:
             params[section] = {'description': J(desc),
                                'params': _params}
 
-    return usage, description, params, output
+    return usage,  params, output
 
 
 class AnvioPrograms(AnvioAuthors):
@@ -232,10 +236,8 @@ def init_programs(self, okay_if_no_meta=False, quiet=False):
 
         # here we will go through each program, and see if there are any with no author information
         programs_with_no_authors = [p for p in self.programs if not len(self.programs[p].meta_info['authors']['value'])]
-        if len(programs_with_no_authors):
-            raise ConfigError(f"The following programs have no author names listed under `__authors__` tag -- every "
-                              f"program in the anvi'o codebase with `__provides__` and/or `__requires__` statements "
-                              f"must also have one or more authors: {', '.join(programs_with_no_authors)}.")
+        if len(programs_with_no_authors) and anvio.DEBUG:
+            self.run.warning(f"The following programs have no `__authors__` tag: {', '.join(programs_with_no_authors)}.")
 
         # here we will go through each program, and see if there are any with authors that
         # are not described in the AUTHORS.yaml file:
@@ -256,26 +258,28 @@ def init_programs(self, okay_if_no_meta=False, quiet=False):
                               f"an entry in the authors YAML file: {', '.join(programs_with_unknown_authors)}.")
 
         # report missing provides/requires information
-        self.run.info_single("Of %d programs found, %d did not contain PROVIDES AND/OR REQUIRES "
-                             "statements :/ This may be normal for some programs, but here is the "
-                             "complete list of those that are missing __provides__ and __requires__ "
-                             "tags in their code in case you see something you can complete: '%s'." % \
-                                        (len(self.all_program_filepaths),
-                                         len(programs_without_provides_requires_info),
-                                         ', '.join(programs_without_provides_requires_info)),
-                             nl_after=1, nl_before=1)
+        if anvio.DEBUG:
+            self.run.info_single("Of %d programs found, %d did not contain PROVIDES AND/OR REQUIRES "
+                                 "statements :/ This may be normal for some programs, but here is the "
+                                 "complete list of those that are missing __provides__ and __requires__ "
+                                 "tags in their code in case you see something you can complete: '%s'." % \
+                                            (len(self.all_program_filepaths),
+                                             len(programs_without_provides_requires_info),
+                                             ', '.join(programs_without_provides_requires_info)),
+                                 nl_after=1, nl_before=1)
 
         # report missing provides/requires information
-        self.run.info_single("Of %d programs found, %d did not have any PROVIDES/REQUIRES statements. You can "
-                             "help by adding usage information for programs by creating markdown "
-                             "formatted files under the directory '%s'. Please see examples in anvi'o "
-                             "codebase: https://github.com/merenlab/anvio/tree/master/anvio/docs. "
-                             "Here is a complete list of programs that are missing usage statements: %s " % \
-                                        (len(self.all_program_filepaths),
-                                         len(programs_without_provides_requires_info),
-                                         anvio.DOCS_PATH,
-                                         ', '.join(programs_without_provides_requires_info)),
-                             nl_after=1, nl_before=1)
+        if anvio.DEBUG:
+            self.run.info_single("Of %d programs found, %d did not have any PROVIDES/REQUIRES statements. You can "
+                                 "help by adding usage information for programs by creating markdown "
+                                 "formatted files under the directory '%s'. Please see examples in anvi'o "
+                                 "codebase: https://github.com/merenlab/anvio/tree/master/anvio/docs. "
+                                 "Here is a complete list of programs that are missing usage statements: %s " % \
+                                            (len(self.all_program_filepaths),
+                                             len(programs_without_provides_requires_info),
+                                             anvio.DOCS_PATH,
+                                             ', '.join(programs_without_provides_requires_info)),
+                                 nl_after=1, nl_before=1)
 
 
 class Program:
@@ -378,6 +382,7 @@ class Artifact:
 
     def __init__(self, artifact_id, provided_by_anvio=True, optional=True, single=True):
         if artifact_id not in ANVIO_ARTIFACTS:
+            progress.reset()
             raise ConfigError("Ehem. Anvi'o does not know about artifact '%s'. There are two was this could happen: "
                               "one, you've made a typo (easy to fix), two, you've just updated __provides__ or __requires__ "
                               "statement in an anvi'o program with an artifact that does not exist and have not yet updated "
@@ -496,7 +501,7 @@ def __init__(self, args, r=terminal.Run(), p=terminal.Progress()):
         self.programs_output_dir = filesnpaths.gen_output_directory(os.path.join(self.output_directory_path, 'programs'))
 
         self.version_short_identifier = 'm' if anvio.anvio_version_for_help_docs == 'main' else anvio.anvio_version_for_help_docs
-        self.base_url = os.path.join("/software/anvio/help", anvio.anvio_version_for_help_docs)
+        self.base_url = os.path.join("/help", anvio.anvio_version_for_help_docs)
         self.anvio_markdown_variables_conversion_dict = {}
 
         AnvioPrograms.__init__(self, args, r=self.run, p=self.progress)
@@ -556,7 +561,7 @@ def copy_images(self):
 
     def init_anvio_markdown_variables_conversion_dict(self):
         for program_name in self.all_program_names:
-            self.anvio_markdown_variables_conversion_dict[program_name] = """<span class="artifact-n">[%s](%s/programs/%s)</span>""" % (program_name, self.base_url, program_name)
+            self.anvio_markdown_variables_conversion_dict[program_name] = """<span class="artifact-p">[%s](%s/programs/%s)</span>""" % (program_name, self.base_url, program_name)
 
         for artifact_name in ANVIO_ARTIFACTS:
             self.anvio_markdown_variables_conversion_dict[artifact_name] = """<span class="artifact-n">[%s](%s/artifacts/%s)</span>""" % (artifact_name, self.base_url, artifact_name)
@@ -674,11 +679,11 @@ def get_HTML_formatted_authors_data(self, program):
         d = ""
 
         for author in program.meta_info['authors']['value']:
-            d += '''<div class="page-author"><div class="page-author-info">'''
-            d += f'''<div class="page-person-photo"><img class="page-person-photo-img" src="../../images/authors/{os.path.basename(self.authors[author]['avatar'])}" /></div>'''
-            d += '''<div class="page-person-info-box">'''
-            d += f'''<span class="page-author-name">{self.authors[author]['name']}</span>'''
-            d += '''<div class="page-author-social-box">'''
+            d += '''<div class="anvio-person"><div class="anvio-person-info">'''
+            d += f'''<div class="anvio-person-photo"><img class="anvio-person-photo-img" src="../../images/authors/{os.path.basename(self.authors[author]['avatar'])}" /></div>'''
+            d += '''<div class="anvio-person-info-box">'''
+            d += f'''<a href="/people/{self.authors[author]['github']}" target="_blank"><span class="anvio-person-name">{self.authors[author]['name']}</span></a>'''
+            d += '''<div class="anvio-person-social-box">'''
 
             if 'web' in self.authors[author]:
                 d += f'''<a href="{self.authors[author]['web']}" class="person-social" target="_blank"><i class="fa fa-fw fa-home"></i>Web</a>'''
@@ -701,15 +706,8 @@ def get_HTML_formatted_authors_data_mini(self, program):
         d = ""
 
         for author in program.meta_info['authors']['value']:
-            if 'twitter' in self.authors[author]:
-                author_link = f"http://twitter.com/{self.authors[author]['twitter']}"
-            elif 'linkedin' in self.authors[author]:
-                author_link = f"http://linkedin.com/in/{self.authors[author]['linkedin']}"
-            else:
-                author_link = f"http://github.com/{self.authors[author]['github']}"
-
-            d += '''<div class="page-author-mini"><div class="page-person-photo-mini">'''
-            d += f'''<a href="{author_link}" target="_blank"><img class="page-person-photo-img-mini" title="{self.authors[author]['name']}" src="images/authors/{os.path.basename(self.authors[author]['avatar'])}" /></a>'''
+            d += '''<div class="anvio-person-mini"><div class="anvio-person-photo-mini">'''
+            d += f'''<a href="/people/{self.authors[author]['github']}" target="_blank"><img class="anvio-person-photo-img-mini" title="{self.authors[author]['name']}" src="images/authors/{os.path.basename(self.authors[author]['avatar'])}" /></a>'''
             d += '''</div></div>\n'''
 
         return d
@@ -915,10 +913,10 @@ def generate(self):
             output = utils.run_command_STDIN('%s --help --quiet' % (program.program_path), log_file, '').split('\n')
 
             if anvio.DEBUG:
-                    usage, description, params, output = parse_help_output(output)
+                    usage, params, output = parse_help_output(output)
             else:
                 try:
-                    usage, description, params, output = parse_help_output(output)
+                    usage, params, output = parse_help_output(output)
                 except Exception as e:
                     progress.end()
                     run.warning("The program '%s' does not seem to have the expected help menu output. Skipping to the next. "
@@ -926,7 +924,7 @@ def generate(self):
                     continue
 
             d[program.name] = {'usage': usage,
-                               'description': description,
+                               'description': program.meta_info['description']['value'],
                                'params': params,
                                'tags': program.meta_info['tags']['value'],
                                'resources': program.meta_info['resources']['value']}
diff --git a/anvio/sequence.py b/anvio/sequence.py
index 3091403803..3f7badc116 100644
--- a/anvio/sequence.py
+++ b/anvio/sequence.py
@@ -40,6 +40,7 @@
 
 pp = terminal.pretty_print
 
+
 class Codon:
     def __init__(self):
         pass
diff --git a/anvio/splitter.py b/anvio/splitter.py
index 7cfb028d7f..f78ceca9b6 100644
--- a/anvio/splitter.py
+++ b/anvio/splitter.py
@@ -451,6 +451,8 @@ def __init__(self, bin_name, summary_object, args, run=run, progress=progress):
         self.linkage = A('linkage') or constants.linkage_method_default
         self.compress_auxiliary_data = A('compress_auxiliary_data')
 
+        self.db_variant = str(utils.get_db_variant(self.profile_db_path))
+
         # make sure early on that both the distance and linkage is OK.
         clustering.is_distance_and_linkage_compatible(self.distance, self.linkage)
         self.clustering_configs = constants.clustering_configs['merged']
@@ -564,10 +566,12 @@ def do_auxiliary_profile_data(self):
 
         bin_profile_auxiliary = auxiliarydataops.AuxiliaryDataForSplitCoverages(new_auxiliary_profile_data_path,
                                                                                 self.contigs_db_hash,
+                                                                                db_variant=self.db_variant,
                                                                                 create_new=True)
 
         parent_profile_auxiliary = auxiliarydataops.AuxiliaryDataForSplitCoverages(parent_auxiliary_profile_data_path,
-                                                                                   self.summary.a_meta['contigs_db_hash'])
+                                                                                   self.summary.a_meta['contigs_db_hash'],
+                                                                                   db_variant=self.db_variant)
 
         for split_name in self.split_names:
             sample_coverages = parent_profile_auxiliary.get(split_name)
@@ -943,10 +947,6 @@ def export_locus(self, output_path_prefix, gene_callers_id=None, gene_caller_ids
             >>> '/path/to/dir/file_name_prefix.fa'
             >>> '/path/to/dir/file_name_prefix.db'
 
-        FIXME Need to add check, where if you are in flank mode and one of your search_terms gives you more then one gene-caller-id
-        then you have more then how to choose which contig to cut out?????????
-
-        NOTE ^^^ has this FIXME been addressed? It looks like this _is_ checked, and raises an error - Evan
         """
 
         if gene_callers_id is not None and not isinstance(gene_callers_id, int):
@@ -985,8 +985,8 @@ def export_locus(self, output_path_prefix, gene_callers_id=None, gene_caller_ids
                                                                        ))
 
             gene_caller_ids = list(gene_caller_ids_flank_pair)
-            first_gene_of_the_block, last_gene_of_the_block = sorted(gene_caller_ids)
-            gene_callers_id = first_gene_of_the_block # just for getting contig name from contigDB
+            gene_callers_id = gene_caller_ids[0] # just for getting contig name from contigDB
+
 
         if os.path.isdir(output_path_prefix):
             raise ConfigError("Output path prefix can't be a directory name...")
@@ -1000,12 +1000,47 @@ def export_locus(self, output_path_prefix, gene_callers_id=None, gene_caller_ids
 
         # Query for gene_call, contig_name, and genes_in_contig_sorted
         gene_call = self.contigs_db.genes_in_contigs_dict[gene_callers_id]
+
+        # if in flank mode check that both search terms are NOT on the same contig
+        if self.is_in_flank_mode:
+            contig_name_1 = self.contigs_db.genes_in_contigs_dict[gene_caller_ids[0]]['contig']
+            contig_name_2 = self.contigs_db.genes_in_contigs_dict[gene_caller_ids[1]]['contig']
+            if contig_name_1 != contig_name_2:
+                raise ConfigError(f"Soooooo it turns out that the flanking genes you picked "
+                                  f"are found on two separate contigs: {contig_name_1} and {contig_name_2}. That means we can't prepare "
+                                  f"a smaller piece of DNA for you :/")
+            
         contig_name = self.contigs_db.genes_in_contigs_dict[gene_callers_id]['contig']
-        genes_in_contig_sorted = sorted(list(self.contigs_db.contig_name_to_genes[contig_name]))
 
+        # Sort by gene start position
+        genes_in_contig_sorted = sorted(list(self.contigs_db.contig_name_to_genes[contig_name]), key=lambda tup: tup[1])
+
+        # Here we run Default-mode and cut out the locus based on the anchor gene_callers_id (index) and
+        # cut + self.num_genes_list[0] and - self.num_genes_list[1] around it
         D = lambda: 1 if gene_call['direction'] == 'f' else -1
-        premature = False
 
+        if not self.is_in_flank_mode:
+            counter = 0
+            for gcid,start,stop in genes_in_contig_sorted:
+                if gcid == gene_callers_id:
+                    anchor_gene_index = counter
+                counter = counter + 1
+
+
+            gene_1 = anchor_gene_index - self.num_genes_list[0] * D()
+            gene_2 = anchor_gene_index + self.num_genes_list[1] * D()
+            first_gene_of_the_block = min(gene_1, gene_2)
+            last_gene_of_the_block = max(gene_1, gene_2)
+
+        if self.is_in_flank_mode:
+            counter = 0
+            anchor_gene_index_flank_pair = []
+            for gene in genes_in_contig_sorted:
+                if gene[0] in gene_caller_ids:
+                    anchor_gene_index_flank_pair.append(counter)
+                counter = counter + 1
+            first_gene_of_the_block, last_gene_of_the_block = sorted(anchor_gene_index_flank_pair)
+            
         # Print out locus info for user
         self.run.info("Contig name", contig_name)
         self.run.info("Contig length", self.contigs_db.contigs_basic_info[contig_name]['length'])
@@ -1013,20 +1048,11 @@ def export_locus(self, output_path_prefix, gene_callers_id=None, gene_caller_ids
         self.run.info("Target gene call", gene_callers_id)
         self.run.info("Target gene direction", "Forward" if D() == 1 else "Reverse", mc = 'green' if D() == 1 else 'red')
 
-        # Here we run Default-mode and cut out the locus based on the anchor gene_callers_id and
-        # cut + self.num_genes_list[0] and - self.num_genes_list[1] arount it
-        if not self.is_in_flank_mode:
-            gene_1 = gene_callers_id - self.num_genes_list[0] * D()
-            gene_2 = gene_callers_id + self.num_genes_list[1] * D()
-            first_gene_of_the_block = min(gene_1, gene_2)
-            last_gene_of_the_block = max(gene_1, gene_2)
-
-        self.run.info("First and last gene of the locus (raw)", "%d and %d" % (first_gene_of_the_block, last_gene_of_the_block))
-
-        # getting the ids for the first and last genes in the contig
-        last_gene_in_contig = genes_in_contig_sorted[-1][0]
-        first_gene_in_contig = genes_in_contig_sorted[0][0]
+        # getting gene indexes for the first and last genes in the contig
+        last_gene_in_contig = len(genes_in_contig_sorted) - 1
+        first_gene_in_contig = 0
 
+        premature = False
         if last_gene_of_the_block > last_gene_in_contig:
             last_gene_of_the_block = last_gene_in_contig
             premature = True
@@ -1041,10 +1067,14 @@ def export_locus(self, output_path_prefix, gene_callers_id=None, gene_caller_ids
         elif premature and not self.remove_partial_hits:
             self.run.info_single("A premature locus is found .. the current configuration says 'whatevs'. Anvi'o will continue.", mc="yellow", nl_before=1, nl_after=1)
 
-        self.run.info("First and last gene of the locus (final)", "%d and %d" % (first_gene_of_the_block, last_gene_of_the_block))
+        self.run.info("First and last gene of the locus ", "%d and %d" % (first_gene_of_the_block, last_gene_of_the_block))
+
+        # convert gene position indexes to gene-callers-ids
+        first_gene_of_the_block_gene_callers_id = genes_in_contig_sorted[first_gene_of_the_block][0]
+        last_gene_of_the_block_gene_callers_id = genes_in_contig_sorted[last_gene_of_the_block][0]
 
-        locus_start = self.contigs_db.genes_in_contigs_dict[first_gene_of_the_block]['start']
-        locus_stop = self.contigs_db.genes_in_contigs_dict[last_gene_of_the_block]['stop']
+        locus_start = self.contigs_db.genes_in_contigs_dict[first_gene_of_the_block_gene_callers_id]['start']
+        locus_stop = self.contigs_db.genes_in_contigs_dict[last_gene_of_the_block_gene_callers_id]['stop']
 
         # being a performance nerd here yes
         contig_sequence = db.DB(self.input_contigs_db_path, None, ignore_version=True, skip_rowid_prepend=True) \
@@ -1056,13 +1086,14 @@ def export_locus(self, output_path_prefix, gene_callers_id=None, gene_caller_ids
 
         # here we will create a gene calls dict for genes that are specific to our locus. since we trimmed
         # the contig sequence to the locus of interest, we will have to adjust start and stop positions of
-        # genes in teh gene calls dict.
+        # genes in the gene calls dict.
         locus_gene_calls_dict = {}
         for g in range(first_gene_of_the_block, last_gene_of_the_block + 1):
-            locus_gene_calls_dict[g] = copy.deepcopy(self.contigs_db.genes_in_contigs_dict[g])
-            excess = self.contigs_db.genes_in_contigs_dict[first_gene_of_the_block]['start']
-            locus_gene_calls_dict[g]['start'] -= excess
-            locus_gene_calls_dict[g]['stop'] -= excess
+            gci = genes_in_contig_sorted[g][0]
+            locus_gene_calls_dict[gci] = copy.deepcopy(self.contigs_db.genes_in_contigs_dict[gci])
+            excess = self.contigs_db.genes_in_contigs_dict[first_gene_of_the_block_gene_callers_id]['start']
+            locus_gene_calls_dict[gci]['start'] -= excess
+            locus_gene_calls_dict[gci]['stop'] -= excess
 
         self.run.info("Locus gene call start/stops excess (nts)", excess)
 
@@ -1137,7 +1168,7 @@ def store_locus_as_contigs_db(self, contig_name, sequence, gene_calls, output_pa
             gene_calls = new_gene_calls
 
 
-        # write the sequene as a temporary FASTA file since the design of ContigsDatabase::create
+        # write the sequence as a temporary FASTA file since the design of ContigsDatabase::create
         # will work seamlessly with this approach:
         with open(locus_sequence_fasta, 'w') as f:
             f.write('>%s\n%s\n' % (contig_name, sequence))
@@ -1153,6 +1184,8 @@ def store_locus_as_contigs_db(self, contig_name, sequence, gene_calls, output_pa
                                   split_length=sys.maxsize,
                                   kmer_size=4,
                                   external_gene_calls=locus_external_gene_calls)
+        #FIXME: it would be great if anvio could give a warning about internal stop codons
+        # rather than killing the whole export-locus interation
         dbops.ContigsDatabase(locus_output_db_path, run=self.run_object).create(args)
 
         # while we are at it, here we generate a blank profile, too. so visualization of the
@@ -1197,7 +1230,7 @@ def store_locus_as_contigs_db(self, contig_name, sequence, gene_calls, output_pa
 
         ############################################################################################
         # DO AMINO ACID SEQUENCES -- we are using external gene calls to generate the new contigs
-        #                            database, but amino acid sequnces are kept in a different table
+        #                            database, but amino acid sequences are kept in a different table
         #                            and anvi'o checks whether provided gene calls resolve to amino
         #                            acid sequences with proper starts and stops. if not, it skips
         #                            them. but amino acid sequences for each gene call was stored
diff --git a/anvio/structureops.py b/anvio/structureops.py
index 398e510011..aa47125fe2 100755
--- a/anvio/structureops.py
+++ b/anvio/structureops.py
@@ -341,10 +341,13 @@ def __init__(self, args, create=False, run=terminal.Run(), progress=terminal.Pro
 
         self.contigs_db_path = A('contigs_db', null)
         self.structure_db_path = A('structure_db', null)
+        self.external_structures_path = A('external_structures', null)
         self.modeller_executable = A('modeller_executable', null)
         self.list_modeller_params = A('list_modeller_params', null)
         self.full_modeller_output = A('dump_dir', null)
 
+        self.run_mode = 'modeller' if not self.external_structures_path else 'external'
+
         self.num_threads = A('num_threads', int)
         self.queue_size = self.num_threads * 2
         self.write_buffer_size = self.num_threads * A('write_buffer_size_per_thread', int)
@@ -352,14 +355,11 @@ def __init__(self, args, create=False, run=terminal.Run(), progress=terminal.Pro
         self.genes_of_interest_path = A('genes_of_interest', null)
         self.gene_caller_ids = A('gene_caller_ids', null)
         self.rerun_genes = A('rerun_genes', null)
-        self.splits_of_interest_path = A('splits_of_interest', null)
-        self.bin_id = A('bin_id', null)
-        self.collection_name = A('collection_name', null)
 
         utils.is_contigs_db(self.contigs_db_path)
-        self.contigs_db = dbops.ContigsDatabase(self.contigs_db_path)
-        self.contigs_db_hash = self.contigs_db.meta['contigs_db_hash']
-        self.contigs_db.disconnect()
+        contigs_db = dbops.ContigsDatabase(self.contigs_db_path)
+        self.contigs_db_hash = contigs_db.meta['contigs_db_hash']
+        contigs_db.disconnect()
 
         # init ContigsSuperClass
         self.contigs_super = ContigsSuperclass(self.args, r=terminal.Run(verbose=False), p=terminal.Progress(verbose=False))
@@ -375,10 +375,6 @@ def __init__(self, args, create=False, run=terminal.Run(), progress=terminal.Pro
 
             filesnpaths.is_output_file_writable(self.structure_db_path)
 
-            self.run.warning("Anvi'o will use 'MODELLER' by Webb and Sali (DOI: 10.1002/cpbi.3) to model "
-                             "protein structures. If you publish your findings, please do not forget to "
-                             "properly credit their work.", lc='green', header="CITATION")
-
 
         # init StructureDatabase
         self.structure_db = StructureDatabase(self.structure_db_path, self.contigs_db_hash, create_new=create)
@@ -416,6 +412,7 @@ def get_modeller_params(self):
         =====
         - If self.create=False, parameters in self.args accessed by this function are first set via
           self.set_prior_modeller_params
+        - If self.run_mode != 'modeller', all values are set to null values
         """
 
         if not self.create:
@@ -425,16 +422,28 @@ def get_modeller_params(self):
         A = lambda x, t: t(self.args.__dict__[x]) if x in self.args.__dict__ else None
         null = lambda x: x
 
-        return {
-            'modeller_database': A('modeller_database', null),
-            'scoring_method': A('scoring_method', null),
-            'max_number_templates': A('max_number_templates', null),
-            'percent_cutoff': A('percent_cutoff', null),
-            'alignment_fraction_cutoff': A('alignment_fraction_cutoff', null),
-            'num_models': A('num_models', null),
-            'deviation': A('deviation', null),
-            'very_fast': A('very_fast', bool),
-        }
+        if self.run_mode == 'modeller':
+            return {
+                'modeller_database': A('modeller_database', null),
+                'scoring_method': A('scoring_method', null),
+                'max_number_templates': A('max_number_templates', null),
+                'percent_cutoff': A('percent_cutoff', null),
+                'alignment_fraction_cutoff': A('alignment_fraction_cutoff', null),
+                'num_models': A('num_models', null),
+                'deviation': A('deviation', null),
+                'very_fast': A('very_fast', bool),
+            }
+        else:
+            return {
+                'modeller_database': None,
+                'scoring_method': None,
+                'max_number_templates': 0,
+                'percent_cutoff': 0,
+                'alignment_fraction_cutoff': 0,
+                'num_models': 0,
+                'deviation': 0,
+                'very_fast': False,
+            }
 
 
     def set_prior_modeller_params(self):
@@ -452,8 +461,13 @@ def set_prior_modeller_params(self):
 
 
     def sanity_check(self):
+        if self.run_mode == 'modeller':
+            self.run.warning("Anvi'o will use 'MODELLER' by Webb and Sali (DOI: 10.1002/cpbi.3) to model "
+                             "protein structures. If you publish your findings, please do not forget to "
+                             "properly credit their work.", lc='green', header="CITATION")
+
         # if self.percent_cutoff is < 25, you should be careful about accuracy of models
-        if self.modeller_params['percent_cutoff'] < 25:
+        if self.run_mode == 'modeller' and self.modeller_params['percent_cutoff'] < 25:
             self.run.warning("You selected a percent identical cutoff of {}%. Below 25%, you should pay close attention "
                              "to the quality of the proteins... Keep in mind random sequence are expected to share "
                              "around 10% identity.".format(self.modeller_params['percent_cutoff']))
@@ -462,25 +476,30 @@ def sanity_check(self):
             self.run.warning("It was requested that amino acid residue annotation with DSSP be skipped. A bold move only "
                              "an expert could justify... Anvi'o's respect for you increases slightly.")
 
-        # Perform a rather extensive check on whether the MODELLER executable is going to work. We
-        # do this here so we can initiate MODELLER.MODELLER with lazy_init so it does not do this
-        # check every time
-        self.args.modeller_executable = MODELLER.check_MODELLER(self.modeller_executable)
-        self.modeller_executable = self.args.modeller_executable
-        self.run.info_single("Anvi'o found the MODELLER executable %s, so will use it" % self.modeller_executable, nl_after=1, mc='green')
-
-        # Check and populate modeller databases if required
-        self.progress.new("MODELLER")
-        self.progress.update("Populating databases")
-        MODELLER.MODELLER(self.args, filesnpaths.get_temp_file_path(), check_db_only=True)
-        self.progress.end()
+        if self.run_mode == 'modeller':
+            # Perform a rather extensive check on whether the MODELLER executable is going to work. We
+            # do this here so we can initiate MODELLER.MODELLER with lazy_init so it does not do this
+            # check every time
+            self.args.modeller_executable = MODELLER.check_MODELLER(self.modeller_executable)
+            self.modeller_executable = self.args.modeller_executable
+            self.run.info_single("Anvi'o found the MODELLER executable %s, so will use it" % self.modeller_executable, nl_after=1, nl_before=1, mc='green')
+
+            # Check and populate modeller databases if required
+            MODELLER.MODELLER(self.args, filesnpaths.get_temp_file_path(), check_db_only=True)
+        elif self.run_mode == 'external':
+            self.run.info_single("Anvi'o will attempt to generate a database using external structures", nl_after=1, nl_before=1, mc='green')
+
+            if self.full_modeller_output:
+                raise ConfigError("No sense providing a --dump-dir when --external-structures are provided.")
+
+            self.external_structures = ExternalStructuresFile(path=self.external_structures_path, contigs_db_path=self.contigs_db_path)
 
 
     def get_genes_of_interest(self, genes_of_interest_path=None, gene_caller_ids=None, raise_if_none=False):
-        """Nabs the genes of interest based on genes_of_interest_path and gene_caller_ids
+        """Nabs the genes of interest based on genes_of_interest_path, gene_caller_ids, and self.external_structures
 
-        If no genes of interest are provided through either genes_of_interest_path or
-        gene_caller_ids, all will be assumed
+        If no genes of interest are provided through either genes_of_interest_path,
+        gene_caller_ids, or self.external_structures, all will be assumed
 
         Parameters
         ==========
@@ -490,6 +509,16 @@ def get_genes_of_interest(self, genes_of_interest_path=None, gene_caller_ids=Non
 
         genes_of_interest = None
 
+        if self.run_mode == 'external':
+            if genes_of_interest_path or gene_caller_ids:
+                raise ConfigError("You can't provide a --gene-caller-ids or --genes-of-interest concurrently with --external-structures. "
+                                  "If you are trying to create a database from a subset of structures in your external structures file, "
+                                  "please instead create an external structures file containing only those structures and use that instead."
+                                  "Sorry for the inconvenience.")
+
+            genes_of_interest = self.external_structures.content['gene_callers_id']
+            return genes_of_interest
+
         # identify the gene caller ids of all genes available
         genes_in_contigs_database = set(self.contigs_super.genes_in_contigs_dict.keys())
 
@@ -576,18 +605,20 @@ def _run(self):
         self.run.info('genes_of_interest', self.genes_of_interest_path)
         self.run.info('gene_caller_ids', self.gene_caller_ids)
         self.run.info('skip_DSSP', self.skip_DSSP)
+        self.run.info('run_mode', self.run_mode)
 
-        self.run.warning('', header='Modeller parameters', nl_after=0, lc='green')
-        self.run.info('modeller_executable', self.modeller_executable)
-        for param, value in self.modeller_params.items():
-            self.run.info(param, value)
-        self.run.info('dump_dir', self.full_modeller_output, nl_after=1)
+        if self.run_mode == 'modeller':
+            self.run.warning('', header='Modeller parameters', nl_after=0, lc='green')
+            self.run.info('modeller_executable', self.modeller_executable)
+            for param, value in self.modeller_params.items():
+                self.run.info(param, value)
+            self.run.info('dump_dir', self.full_modeller_output, nl_after=1)
 
         if not anvio.DEBUG:
             self.run.warning("Do you want live info about how the modelling procedure is going for "
                              "each gene? Then restart this process with the --debug flag", lc='yellow')
 
-        if not self.full_modeller_output:
+        if self.run_mode == 'modeller' and not self.full_modeller_output:
             self.run.warning("When this finishes, do you want a potentially massive folder that "
                              "contains a murder of unorganized data in volumes that far exceed what "
                              "you could possibly want? Perfect, then restart this process and "
@@ -800,50 +831,93 @@ def process_gene(self, corresponding_gene_call):
             'has_structure': False,
         }
 
-        directory = filesnpaths.get_temp_directory_path()
+        if self.run_mode == 'modeller':
+            directory = filesnpaths.get_temp_directory_path()
+
+            # Export sequence
+            target_fasta_path = filesnpaths.get_temp_file_path()
+            self.contigs_super.get_sequences_for_gene_callers_ids([corresponding_gene_call],
+                                                                  output_file_path=target_fasta_path,
+                                                                  report_aa_sequences=True,
+                                                                  simple_headers=True)
 
-        # Export sequence
-        target_fasta_path = filesnpaths.get_temp_file_path()
-        self.contigs_super.get_sequences_for_gene_callers_ids([corresponding_gene_call],
-                                                              output_file_path=target_fasta_path,
-                                                              report_aa_sequences=True,
-                                                              simple_headers=True)
+            try:
+                filesnpaths.is_file_fasta_formatted(target_fasta_path)
+            except FilesNPathsError:
+                self.run.warning("You wanted to model a structure for gene ID %d, but the exported FASTA file "
+                                 "is not what anvi'o considers a FASTA formatted file. The reason why this "
+                                 "occassionally happens has not been investigated, but if it is any consolation, "
+                                 "it is not your fault. You may want to try again, and maybe it will work. Or "
+                                 "maybe it will not. Regardless, at this time anvi'o cannot model the gene. "
+                                 "Here is the temporary fasta file path: %s " % (corresponding_gene_call, target_fasta_path))
+                return structure_info
 
-        try:
-            filesnpaths.is_file_fasta_formatted(target_fasta_path)
-        except FilesNPathsError:
-            self.run.warning("You wanted to model a structure for gene ID %d, but the exported FASTA file "
-                             "is not what anvi'o considers a FASTA formatted file. The reason why this "
-                             "occassionally happens has not been investigated, but if it is any consolation, "
-                             "it is not your fault. You may want to try again, and maybe it will work. Or "
-                             "maybe it will not. Regardless, at this time anvi'o cannot model the gene. "
-                             "Here is the temporary fasta file path: %s " % (corresponding_gene_call, target_fasta_path))
-            return structure_info
-
-        if self.skip_gene_if_not_clean(corresponding_gene_call, target_fasta_path):
-            return structure_info
-
-        # Model structure
-        structure_info['modeller'] = self.run_modeller(target_fasta_path, directory)
+            if self.skip_gene_if_not_clean(corresponding_gene_call, fasta_path=target_fasta_path):
+                return structure_info
+
+            # Model structure
+            structure_info['results'] = self.run_modeller(target_fasta_path, directory)
+
+        elif self.run_mode == 'external':
+
+            structure = self.external_structures.get_structure(corresponding_gene_call)
+            if self.skip_gene_if_not_clean(corresponding_gene_call, sequence=structure.get_sequence()):
+                return structure_info
+
+            structure_info['results'] = self.create_results_dict_for_external_structure(corresponding_gene_call)
 
         # Annotate residues
-        if structure_info['modeller']['structure_exists']:
+        if structure_info['results']['structure_exists']:
             structure_info['has_structure'] = True
 
             structure_info['residue_info'] = self.get_gene_contribution_to_residue_info_table(
                 corresponding_gene_call=corresponding_gene_call,
-                pdb_filepath=structure_info['modeller']['best_model_path'],
+                pdb_filepath=structure_info['results']['best_model_path'],
             )
 
         return structure_info
 
 
-    def skip_gene_if_not_clean(self, corresponding_gene_call, fasta_path):
-        """Do not try modelling gene if it is not clean"""
+    def create_results_dict_for_external_structure(self, corresponding_gene_call):
+        return {
+            'templates': {'pdb_id': ['none'], 'chain_id': ['none'], 'proper_percent_similarity': [0], 'percent_similarity': [0], 'align_fraction': [0]},
+            'models': {'molpdf': [0], 'GA341_score': [0], 'DOPE_score': [0], 'picked_as_best': [True]},
+            'corresponding_gene_call': corresponding_gene_call,
+            'structure_exists': True,
+            'best_model_path': self.external_structures.get_path(corresponding_gene_call),
+            'best_score': None,
+            'scoring_method': self.modeller_params['scoring_method'],
+            'percent_cutoff': self.modeller_params['percent_cutoff'],
+            'alignment_fraction_cutoff': self.modeller_params['alignment_fraction_cutoff'],
+            'very_fast': self.modeller_params['very_fast'],
+            'deviation': self.modeller_params['deviation'],
+        }
+
+
+    def skip_gene_if_not_clean(self, corresponding_gene_call, fasta_path=None, sequence=None):
+        """Do not try modelling gene if it is not clean
+
+        Parameters
+        ==========
+        corresponding_gene_call : int
+            What is the gene callers id?
+        fasta_path : str, None
+            Provide either the path to the amino acid fasta
+        sequence : str, None
+            Or the amino acid sequence itself. Don't provide both
+        """
+
+        if not (fasta_path or sequence):
+            raise ConfigError("skip_gene_if_not_clean :: provide a fasta_path or sequence")
+        if fasta_path and sequence:
+            raise ConfigError("skip_gene_if_not_clean :: don't provide both a fasta_path and a sequence")
+
+        if fasta_path:
+            fasta = u.SequenceSource(fasta_path); next(fasta)
+            sequence = fasta.seq
 
-        fasta = u.SequenceSource(fasta_path); next(fasta)
         try:
-            utils.is_gene_sequence_clean(fasta.seq, amino_acid=True, can_end_with_stop=False, must_start_with_met=False)
+            utils.is_gene_sequence_clean(sequence, amino_acid=True, can_end_with_stop=False, must_start_with_met=False)
             return False
         except ConfigError as error:
             self.run.warning("You wanted to model a structure for gene ID %d, but it is not what anvi'o "
@@ -878,7 +952,12 @@ def run_residue_identity_annotation(self, corresponding_gene_call, pdb_filepath)
                     "codon":               [],
                     "amino_acid":          []}
 
-        gene_length_in_codons = len(nt_sequence)//3 - 1 # subtract 1 because it's the stop codon
+        last_codon = nt_sequence[:-3]
+        if last_codon in ['TAA', 'TAG', 'TGA']:
+            gene_length_in_codons = len(nt_sequence)//3 - 1 # subtract 1 because it's the stop codon
+        else:
+            gene_length_in_codons = len(nt_sequence)//3
+
         for codon_order_in_gene in range(gene_length_in_codons):
             seq_dict["codon_order_in_gene"].append(codon_order_in_gene)
             seq_dict["codon_number"].append(codon_order_in_gene+1)
@@ -917,22 +996,22 @@ def dump_raw_results(self, structure_info):
         if not self.full_modeller_output:
             return
 
-        if 'modeller' not in structure_info:
+        if 'results' not in structure_info:
             return
 
-        output_gene_dir = os.path.join(self.full_modeller_output, structure_info['modeller']['corresponding_gene_call'])
-        shutil.move(structure_info['modeller']['directory'], output_gene_dir)
+        output_gene_dir = os.path.join(self.full_modeller_output, structure_info['results']['corresponding_gene_call'])
+        shutil.move(structure_info['results']['directory'], output_gene_dir)
 
 
     def store_gene(self, structure_info):
         """Store a gene's info into the structure database"""
 
-        if 'modeller' not in structure_info:
+        if 'results' not in structure_info:
             # There is nothing to store
             return
 
         corresponding_gene_call = structure_info["corresponding_gene_call"]
-        modeller_out = structure_info['modeller']
+        results = structure_info['results']
 
         # If the gene is present in the database, remove it first
         if corresponding_gene_call in self.structure_db.genes_with_structure:
@@ -940,24 +1019,24 @@ def store_gene(self, structure_info):
             self.structure_db.remove_gene(corresponding_gene_call, remove_from_self=False)
 
         # templates is always added, even when structure was not modelled
-        templates = pd.DataFrame(modeller_out['templates'])
+        templates = pd.DataFrame(results['templates'])
         templates.insert(0, 'corresponding_gene_call', corresponding_gene_call)
         self.structure_db.entries[t.templates_table_name] = \
             self.structure_db.entries[t.templates_table_name].append(templates)
         self.structure_db.store(t.templates_table_name)
 
         # entries that are only added if a structure was modelled
-        if modeller_out['structure_exists']:
+        if results['structure_exists']:
 
             # models
-            models = pd.DataFrame(modeller_out['models'])
+            models = pd.DataFrame(results['models'])
             models.insert(0, 'corresponding_gene_call', corresponding_gene_call)
             self.structure_db.entries[t.models_table_name] = \
                 self.structure_db.entries[t.models_table_name].append(models)
             self.structure_db.store(t.models_table_name)
 
             # pdb file data
-            pdb_file = open(modeller_out['best_model_path'], 'rb')
+            pdb_file = open(results['best_model_path'], 'rb')
             pdb_contents = pdb_file.read()
             pdb_file.close()
             pdb_table_entry = (corresponding_gene_call, pdb_contents)
@@ -1640,7 +1719,7 @@ def size_of_database(self):
 
 
 class Structure(object):
-    def __init__(self, pdb_path, p=terminal.Progress(), r=terminal.Run()):
+    def __init__(self, pdb_path):
         """Object to handle the analysis of PDB files"""
 
         self.distances_methods_dict = {
@@ -1652,10 +1731,21 @@ def __init__(self, pdb_path, p=terminal.Progress(), r=terminal.Run()):
         self._load_pdb_file(self.path)
 
 
-    def _load_pdb_file(self, pdb_path, name_id='structure', chain='A'):
+    def _load_pdb_file(self, pdb_path, name_id='structure', model_index=0, chain_index=0):
+        """Loads exactly one chain from one model of a PDB"""
+
         p = PDBParser()
-        model = p.get_structure(name_id, pdb_path)[0] # [0] = first model
-        self.structure = model[chain]
+        structure_obj = p.get_structure(name_id, pdb_path)
+
+        if not len(structure_obj.get_list()):
+            raise FilesNPathsError(f"Biopython was unable to parse {pdb_path} as a PDB file...")
+
+        model = structure_obj.get_list()[model_index]
+        self.structure = model.get_list()[chain_index]
+
+
+    def get_sequence(self):
+        return ''.join([constants.AA_to_single_letter_code[res.resname.capitalize()] for res in self.structure.get_list()])
 
 
     def get_contact_map(self, distance_method='CA', compressed=False, c='order'):
@@ -1825,3 +1915,133 @@ def calc_COM_dist(self, residue1, residue2):
         COM2 = self.get_residue_center_of_mass(residue2)
 
         return np.sqrt(np.sum((COM1 - COM2)**2))
+
+
+class ExternalStructuresFile(object):
+    def __init__(self, path, contigs_db_path, lazy=False, p=terminal.Progress(), r=terminal.Run()):
+        """Check the integrity of an external structures file and provide contents as the attribute self.content
+
+        Parameters
+        ==========
+        contigs_db_path : str, None
+            The path to the corresponding contigs database.
+        lazy : bool, False
+            If false, each structure file will be opened and the sequence therein will be explicitly compared to
+            the amino acid of the gene callers id found in the contigs database. If True, only superficial checks
+            will be carried out, like making sure the file is tab-delimited and that all files pointed to actually
+            exist.
+        """
+
+        self.run, self.progress = r, p
+
+        self.path = path
+        self.contigs_db_path = contigs_db_path
+
+        utils.is_contigs_db(self.contigs_db_path)
+        filesnpaths.is_file_tab_delimited(self.path)
+
+        self.content = pd.read_csv(self.path, sep='\t')
+
+        self.is_header_ok()
+        self.is_duplicates()
+        self.is_gene_caller_ids_ok()
+        self.is_files_exist()
+        if not lazy:
+            self.test_integrity()
+
+
+    def get_structure(self, gene_callers_id):
+        """Return Structure object for given gene callers id"""
+
+        path = self.get_path(gene_callers_id)
+        return Structure(path)
+
+
+    def get_path(self, gene_callers_id):
+        """Return Structure object for given gene callers id"""
+
+        result = self.content.loc[self.content['gene_callers_id'] == gene_callers_id, 'path']
+        if result.empty:
+            raise ConfigError(f"Structure.get_path :: Can't find gene callers id '{gene_callers_id}'.")
+        return result.iloc[0]
+
+
+    def is_header_ok(self):
+        headers_proper = ['gene_callers_id', 'path']
+        with open(self.path, 'rU') as input_file:
+            headers = input_file.readline().strip().split('\t')
+            missing_headers = [h for h in headers_proper if h not in headers]
+
+            if len(headers) != 2:
+                raise FilesNPathsError("Your external structures file does not contain the right number of columns :/ Here are "
+                                       "what the header columns should be called, in this order: '%s'." % ', '.join(headers_proper))
+
+            if len(missing_headers):
+                raise FilesNPathsError("Your external structures file has the wrong headers. They should be: '%s', not '%s'." % (', '.join(headers_proper), ', '.join(headers)))
+
+        return True
+
+
+    def is_duplicates(self):
+        counts = self.content['gene_callers_id'].value_counts()
+        multiple = counts[counts > 1].index.tolist()
+        if len(multiple):
+            raise FilesNPathsError(f"Only one structure can be assigned to each gene callers id. But the following genes are present "
+                                   f"multiple times in your external structures file: {multiple}")
+
+
+    def is_files_exist(self):
+        """Check that all files pointed to in the file actually exist"""
+        for _, row in self.content.iterrows():
+            gene_callers_id, path = row['gene_callers_id'], row['path']
+            if not filesnpaths.is_file_exists(path, dont_raise=True):
+                raise FilesNPathsError(f"This is kind of an issue. Your external structures file points to the following path: {path}. "
+                                       f"for gene callers id {gene_callers_id}. Well that path is not a file :\\")
+
+        return True
+
+
+    def is_gene_caller_ids_ok(self):
+        """Returns True if all gene_callers_ids in external structures file are in the contigs database and are coding"""
+
+        contigs_db = db.DB(self.contigs_db_path, client_version=None, ignore_version=True)
+        table = contigs_db.get_table_as_dataframe('gene_amino_acid_sequences')
+        genes_in_contigs_db_with_aa_seqs = table.loc[table['sequence'] != '', 'gene_callers_id'].tolist()
+        missing_in_contigs = [x for x in self.content['gene_callers_id'] if x not in genes_in_contigs_db_with_aa_seqs]
+
+        if len(missing_in_contigs):
+            raise ConfigError(f"Some gene caller ids in your external structures file are either missing from your contigs database "
+                              f"or are non-coding (they have no corresponding amino acid sequence). This is a show stopper. "
+                              f"Here are the gene caller ids: {missing_in_contigs}")
+
+
+    def test_integrity(self):
+        """Parse the sequence contents of each PDB and ensure it matches the sequences in the contigs database"""
+
+        # Fetch the amino acid sequences found in contigs database
+        contigs_db = db.DB(self.contigs_db_path, client_version=None, ignore_version=True)
+        table = contigs_db.get_table_as_dataframe('gene_amino_acid_sequences')
+        amino_acid_sequences = dict(zip(table['gene_callers_id'], table['sequence']))
+
+        self.progress.new('External structures', progress_total_items=self.content.shape[0])
+        self.progress.update('Testing personal integrity')
+
+        for _, row in self.content.iterrows():
+            gene_callers_id, path = row['gene_callers_id'], row['path']
+            s = Structure(path)
+            aa_seq_structure = s.get_sequence()
+            aa_seq_contigs = amino_acid_sequences[gene_callers_id]
+
+            if aa_seq_structure != aa_seq_contigs:
+                self.progress.end()
+                raise ConfigError(f"The sequence in the structure for gene callers id {gene_callers_id} ({path}) does not match the sequence "
+                                  f"found for this gene in the contigs database. Here is the sequence found in the structure: {aa_seq_structure}. "
+                                  f"And here is the sequence in the contigs database that anvi'o was expecting: {aa_seq_contigs}.")
+
+            self.progress.increment()
+            self.progress.update(self.progress.msg)
+
+        self.progress.end()
+        return True
+
+
diff --git a/anvio/summarizer.py b/anvio/summarizer.py
index 4baaa3f3c2..722e3e6daa 100644
--- a/anvio/summarizer.py
+++ b/anvio/summarizer.py
@@ -316,8 +316,10 @@ def functional_enrichment_stats(self):
         '''
             Compute functional enrichment.
 
-            To learn more refer to the docummentation:
-                anvi-compute-functional-enrichment -h
+            To learn more refer to the documentation:
+                anvi-compute-functional-enrichment-in-pan -h
+                anvi-compute-functional-enrichment-across-genomes -h
+                anvi-compute-metabolic-enrichment -h
         '''
         A = lambda x: self.args.__dict__[x] if x in self.args.__dict__ else None
         output_file_path = A('output_file')
diff --git a/anvio/summaryhtml.py b/anvio/summaryhtml.py
index 42b7b84c57..b51c657bf1 100644
--- a/anvio/summaryhtml.py
+++ b/anvio/summaryhtml.py
@@ -128,6 +128,13 @@ def render(self, quick=False):
 
         return rendered
 
+@register.filter(name='get_first_line')
+def get_first_line(string):
+    return string.split('\n')[0]
+
+@register.filter(name='get_first_sentence')
+def get_first_line(string):
+    return string.split('.')[0]
 
 @register.filter(name='lookup')
 def lookup(d, index):
diff --git a/anvio/tables/trnahits.py b/anvio/tables/trnahits.py
index e2d2bc81f3..954767d6bf 100644
--- a/anvio/tables/trnahits.py
+++ b/anvio/tables/trnahits.py
@@ -211,7 +211,7 @@ def populate_search_tables(self, contigs_db_path):
         search_results_dict = tables_for_hmm_hits.add_new_gene_calls_to_contigs_db_and_update_serach_results_dict(self.kind_of_search,
                                                                                                                   search_results_dict,
                                                                                                                   skip_amino_acid_sequences=True)
-        tables_for_hmm_hits.append(self.source_name, self.reference, self.kind_of_search, self.domain, self.all_genes_searched_against, search_results_dict)
+        tables_for_hmm_hits.append_to_hmm_hits_table(self.source_name, self.reference, self.kind_of_search, self.domain, self.all_genes_searched_against, search_results_dict)
 
 
         # when the code comes all the way here, the entries in the search results dict already look like
diff --git a/anvio/taxonomyops/__init__.py b/anvio/taxonomyops/__init__.py
index 45f98c1017..3afb633cbd 100644
--- a/anvio/taxonomyops/__init__.py
+++ b/anvio/taxonomyops/__init__.py
@@ -165,7 +165,8 @@ def __init__(self, skip_init=False):
         self.initialized = False
 
         self.run.info('Contigs DB', self.contigs_db_path)
-        self.run.info('Profile DB', self.profile_db_path)
+        if self.profile_db_path:
+            self.run.info('Profile DB', self.profile_db_path, mc="green")
         self.run.info('Metagenome mode', self.metagenome_mode)
         if self.metagenome_mode:
             self.run.info(f'{self._ITEM} for metagenome', self.item_name_for_metagenome_mode)
@@ -420,7 +421,11 @@ def print_taxonomy_hits_in_splits(self, hits, bin_name=None):
         self.progress.reset()
         self.run.warning(None, header='Hits for %s' % (bin_name if bin_name else "a bunch of splits"), lc="green")
 
-        if not (len(hits) == 1 and hits[0]['anticodon'] == 'CONSENSUS'):
+        target = 'gene_name' if self.scgs_focus else 'anticodon'
+
+        if len(hits) == 1 and hits[0][target] == 'CONSENSUS':
+            self.run.info_single("No hits :/")
+        else:
             if self.scgs_focus:
                 header = [self._ITEM, 'gene', 'pct id', 'taxonomy']
                 field_names = [self._VARIABLE_NAME_IN_TABLE, 'percent_identity', 'gene_callers_id']
@@ -450,8 +455,6 @@ def print_taxonomy_hits_in_splits(self, hits, bin_name=None):
                     table.append([hit[self._VARIABLE_NAME_IN_TABLE], str(hit['amino_acid']), str(hit['gene_callers_id']), str(hit['percent_identity']), taxon_text])
 
             anvio.TABULATE(table, header)
-        else:
-            self.run.info_single("No hits :/")
 
 
     def get_taxonomy_dict(self, gene_caller_ids, bin_name=None):
@@ -671,8 +674,14 @@ def estimate(self):
         if self.per_item_output_file:
             self.store_taxonomy_per_item(items_taxonomy_super_dict)
 
+        if self.sequences_file_path_prefix:
+            self.store_sequences_for_items(items_taxonomy_super_dict)
+
 
     def print_items_taxonomy_super_dict(self, items_taxonomy_super_dict):
+        if anvio.QUIET:
+            return
+
         self.progress.reset()
 
         if self.collection_name:
@@ -780,6 +789,47 @@ def store_items_taxonomy_super_dict(self, items_taxonomy_super_dict):
         self.run.info("Output file", self.output_file_path, nl_before=1)
 
 
+    def store_sequences_for_items(self, items_taxonomy_super_dict):
+        """Report sequences for items if possible"""
+
+        if self.ctx.focus != 'scgs':
+            raise ConfigError("This function is only tested in SCGs mode. If you need to report "
+                              "sequences for taxonomy items reported in other foci, please get in "
+                              "touch with anvi'o developers.")
+
+        if not self.scg_name_for_metagenome_mode:
+            raise ConfigError("You can't ask anvi'o to store seqeunces for SCGs unless you are "
+                              "working with a specific SCG name :(")
+
+        d = self.get_print_friendly_items_taxonomy_super_dict(items_taxonomy_super_dict)
+
+        c = ContigsSuperclass(self.args, r=run_quiet)
+
+        gene_caller_ids = [v['gene_callers_id'] for v in d.values()]
+
+        gene_caller_ids_list, sequences_dict = c.get_sequences_for_gene_callers_ids(gene_caller_ids, include_aa_sequences=True)
+        if not len(gene_caller_ids_list):
+            raise ConfigError("Something that should have never happened, happened :/ Please re-run the same command with "
+                              "`--debug` and send the Traceback to an anvi'o developer.")
+
+        dna_sequences_output_file_path = self.sequences_file_path_prefix + '_DNA.fa'
+        amino_acid_sequences_output_file_path = self.sequences_file_path_prefix + '_AA.fa'
+
+        contigs_db_name = c.a_meta['project_name']
+
+        with open(amino_acid_sequences_output_file_path, 'w') as aa_sequences_output, open(dna_sequences_output_file_path, 'w') as dna_sequences_output:
+            for entry in d.values():
+                header = f"{contigs_db_name}_{entry['gene_name']}_{entry['gene_callers_id']}"
+                dna_sequence = sequences_dict[entry['gene_callers_id']]['sequence']
+                amino_acid_sequence = sequences_dict[entry['gene_callers_id']]['aa_sequence']
+
+                aa_sequences_output.write(f">{header}\n{amino_acid_sequence}\n")
+                dna_sequences_output.write(f">{header}\n{dna_sequence}\n")
+
+        self.run.info("DNA sequences for SCGs", dna_sequences_output_file_path, nl_before=1)
+        self.run.info("AA sequences for SCGs", amino_acid_sequences_output_file_path)
+
+
     def store_taxonomy_per_item(self, items_taxonomy_super_dict):
         if self.scgs_focus:
             headers = ['bin_name', 'gene_name', 'percent_identity']
@@ -809,11 +859,14 @@ def store_taxonomy_per_item(self, items_taxonomy_super_dict):
 
 
     def get_print_friendly_items_taxonomy_super_dict(self, items_taxonomy_super_dict):
+        contigs_db_name = anvio.dbops.ContigsDatabase(self.contigs_db_path).meta['project_name_str']
+
         d = {}
 
         if self.metagenome_mode:
             for item_hit in items_taxonomy_super_dict['taxonomy'][self.contigs_db_project_name][self._ITEMS.lower()].values():
-                item_hit_name = '%s_%d' % (item_hit[self._VARIABLE_NAME_IN_TABLE], item_hit['gene_callers_id'])
+                item_hit_name = '%s_%s_%d' % (contigs_db_name, item_hit[self._VARIABLE_NAME_IN_TABLE], item_hit['gene_callers_id'])
+
                 d[item_hit_name] = item_hit
 
                 if self.compute_item_coverages:
diff --git a/anvio/taxonomyops/scg.py b/anvio/taxonomyops/scg.py
index b69170673d..825da359b4 100644
--- a/anvio/taxonomyops/scg.py
+++ b/anvio/taxonomyops/scg.py
@@ -19,7 +19,7 @@
 import anvio.filesnpaths as filesnpaths
 
 from anvio.errors import ConfigError
-from anvio.dbops import ContigsDatabase
+from anvio.dbops import ContigsDatabase, ContigsSuperclass
 from anvio.drivers.diamond import Diamond
 from anvio.genomedescriptions import MetagenomeDescriptions
 
@@ -211,6 +211,9 @@ def sanity_check(self):
                 if self.output_file_path:
                     filesnpaths.is_output_file_writable(self.output_file_path)
 
+                if self.sequences_file_path_prefix:
+                    filesnpaths.is_output_file_writable(self.sequences_file_path_prefix)
+
                 if self.raw_output or self.matrix_format:
                     raise ConfigError("Haha in this mode you can't ask for the raw output or matrix format .. yet (we know that "
                                       "the parameter space of this program is like a mine field and we are very upset about it "
@@ -331,6 +334,7 @@ class is nothing but one that iterates through all metagenomes
 
         A = lambda x: args.__dict__[x] if x in args.__dict__ else None
         self.output_file_path = A('output_file')
+        self.sequences_file_path_prefix = A('report_scg_sequences_file_prefix')
         self.per_scg_output_file = A('per_scg_output_file')
         self.all_hits_output_file_path = A('all_hits_output_file')
         self.output_file_prefix = A('output_file_prefix')
@@ -350,6 +354,7 @@ class is nothing but one that iterates through all metagenomes
             # very cute. we shall make that happen.
             self.metagenomes = None
             self.output_file_path = None
+            self.sequences_file_path_prefix = None
             self.output_file_prefix = None
             self.matrix_format = None
             self.raw_output = None
@@ -461,9 +466,70 @@ def estimate(self):
 
         scg_taxonomy_super_dict_multi = self.get_scg_taxonomy_super_dict_for_metagenomes()
 
+        if self.sequences_file_path_prefix:
+            self.store_sequences_for_items_multi(scg_taxonomy_super_dict_multi)
+
         self.store_scg_taxonomy_super_dict_multi(scg_taxonomy_super_dict_multi)
 
 
+    def store_sequences_for_items_multi(self, scg_taxonomy_super_dict_multi):
+        """Report sequences for items if possible"""
+
+        if self.ctx.focus != 'scgs':
+            raise ConfigError("This function is only tested in SCGs mode. If you need to report "
+                              "sequences for taxonomy items reported in other foci, please get in "
+                              "touch with anvi'o developers.")
+
+        if not self.scg_name_for_metagenome_mode:
+            raise ConfigError("You can't ask anvi'o to store sequences for SCGs unless you are "
+                              "working with a specific SCG name :(")
+
+        d = self.get_print_friendly_scg_taxonomy_super_dict_multi(scg_taxonomy_super_dict_multi)
+
+        import argparse
+
+        dna_sequences_output_file_path = self.sequences_file_path_prefix + '_DNA.fa'
+        amino_acid_sequences_output_file_path = self.sequences_file_path_prefix + '_AA.fa'
+
+        if self.just_do_it:
+            pass
+        elif os.path.exists(dna_sequences_output_file_path) or os.path.exists(amino_acid_sequences_output_file_path):
+            raise ConfigError(f"Anvi'o has detected you already have files {dna_sequences_output_file_path} or {amino_acid_sequences_output_file_path} "
+                               "and does not want to overwrite them. If you do want to overwrite them, then run the `--just-do-it` flag.")
+
+        aa_sequences_output = open(amino_acid_sequences_output_file_path,'w')
+        dna_sequences_output = open(dna_sequences_output_file_path,'w')
+
+        for metagenome_name, v in d.items():
+            contigs_db_path = self.metagenomes[metagenome_name]['contigs_db_path']
+
+            args_for_contigsDB = argparse.Namespace()
+            args_for_contigsDB.contigs_db = contigs_db_path
+            c = ContigsSuperclass(args_for_contigsDB, r=run_quiet)
+
+            gene_caller_ids = [values['gene_callers_id'] for values in v.values()]
+
+            gene_caller_ids_list, sequences_dict = c.get_sequences_for_gene_callers_ids(gene_caller_ids, include_aa_sequences=True)
+
+            if not len(gene_caller_ids_list):
+                raise ConfigError("Something that should have never happened, happened :/ Please re-run the same command with "
+                                  "`--debug` and send the Traceback to an anvi'o developer.")
+
+
+            contigs_db_name = c.a_meta['project_name_str']
+
+            with open(amino_acid_sequences_output_file_path, 'a+') as aa_sequences_output, open(dna_sequences_output_file_path, 'a+') as dna_sequences_output:
+                for header, entry in d[metagenome_name].items():
+                    dna_sequence = sequences_dict[entry['gene_callers_id']]['sequence']
+                    amino_acid_sequence = sequences_dict[entry['gene_callers_id']]['aa_sequence']
+
+                    aa_sequences_output.write(f">{header}\n{amino_acid_sequence}\n")
+                    dna_sequences_output.write(f">{header}\n{dna_sequence}\n")
+
+        self.run.info("DNA sequences for SCGs", dna_sequences_output_file_path, nl_before=1)
+        self.run.info("AA sequences for SCGs", amino_acid_sequences_output_file_path)
+
+
     def get_print_friendly_scg_taxonomy_super_dict_multi(self, scg_taxonomy_super_dict_multi, as_data_frame=False):
         """Extract a more print-friendly data structure from `scg_taxonomy_super_dict_multi`
 
@@ -523,6 +589,7 @@ def get_print_friendly_scg_taxonomy_super_dict_multi(self, scg_taxonomy_super_di
         for metagenome_name in scg_taxonomy_super_dict_multi:
             args = SCGTaxonomyArgs(self.args, format_args_for_single_estimator=True)
             args.contigs_db = self.metagenomes[metagenome_name]['contigs_db_path']
+            args.name = metagenome_name
 
             if self.metagenome_mode:
                 args.metagenome_mode = True
@@ -715,7 +782,7 @@ def store_scg_taxonomy_super_dict_raw(self, scg_taxonomy_super_dict_multi):
 
         taxonomic_levels = [self.user_taxonomic_level] if self.user_taxonomic_level else self.ctx.levels_of_taxonomy
 
-        header = ['metagenome_name', 'gene_name', 'gene_callers_id', 'percent_identity']
+        header = ['identifier', 'metagenome_name', 'gene_name', 'gene_callers_id', 'percent_identity']
 
         if self.compute_scg_coverages:
             header += ['coverage']
@@ -728,7 +795,7 @@ def store_scg_taxonomy_super_dict_raw(self, scg_taxonomy_super_dict_multi):
 
             for metagenome_name in d:
                 for gene_name in d[metagenome_name]:
-                    output.write('\t'.join([metagenome_name] + [str(d[metagenome_name][gene_name][h]) for h in header[1:]]) + '\n')
+                    output.write('\t'.join([gene_name] + [metagenome_name] + [str(d[metagenome_name][gene_name][h]) for h in header[2:]]) + '\n')
 
         self.run.info("Raw output", output_file_path)
 
@@ -944,6 +1011,7 @@ def __init__(self, args, run=terminal.Run(), progress=terminal.Progress(), skip_
         self.collection_name = A('collection_name')
         self.update_profile_db_with_taxonomy = A('update_profile_db_with_taxonomy')
         self.bin_id = A('bin_id')
+        self.name = A('name')
 
         SCGTaxonomyArgs.__init__(self, self.args)
 
@@ -1252,7 +1320,7 @@ def __init__(self, args, run=terminal.Run(), progress=terminal.Progress()):
 
         self.ctx = ctx
 
-        self.max_target_seqs = int(A('max_num_target_sequences')) or 20
+        self.max_target_seqs = int(A('max_num_target_sequences')) if A('max_num_target_sequences') else 20
         self.evalue = float(A('e_value')) if A('e_value') else 1e-05
         self.min_pct_id = float(A('min_percent_identity')) if A('min_percent_identity') else 90
 
diff --git a/anvio/terminal.py b/anvio/terminal.py
index cee7ce25e3..5b3ebe281a 100644
--- a/anvio/terminal.py
+++ b/anvio/terminal.py
@@ -435,7 +435,7 @@ def info(self, key, value, quiet=False, display_only=False, overwrite_verbose=Fa
             self.write(info_line, quiet=quiet, overwrite_verbose=overwrite_verbose)
 
 
-    def info_single(self, message, overwrite_verbose=False, mc='yellow', nl_before=0, nl_after=0, cut_after=80, level=1, progress=None):
+    def info_single(self, message, overwrite_verbose=False, mc='yellow', nl_before=0, nl_after=0, cut_after=80, level=1, pretty_indentation=True, progress=None):
         if isinstance(message, str):
             message = remove_spaces(message)
 
@@ -443,7 +443,11 @@ def info_single(self, message, overwrite_verbose=False, mc='yellow', nl_before=0
             raise TerminalError("the `info_single` function does not know how to deal with a level of %d :/" % level)
 
         if cut_after:
-            message_line = c("%s%s\n" % (self.single_line_prefixes[level], textwrap.fill(str(message), cut_after)), mc)
+            if pretty_indentation:
+                subsequent_indent = ''.join([' '] * len(self.single_line_prefixes[level]))
+                message_line = c("%s%s\n" % (self.single_line_prefixes[level], textwrap.fill(str(message), cut_after, subsequent_indent=subsequent_indent)), mc)
+            else:
+                message_line = c("%s%s\n" % (self.single_line_prefixes[level], textwrap.fill(str(message), cut_after)), mc)
         else:
             message_line = c("%s%s\n" % (self.single_line_prefixes[level], str(message)), mc)
 
diff --git a/anvio/tests/run_component_tests_for_SCVs_SAAVs_structure.sh b/anvio/tests/run_component_tests_for_SCVs_SAAVs_structure.sh
new file mode 100755
index 0000000000..06d90d440a
--- /dev/null
+++ b/anvio/tests/run_component_tests_for_SCVs_SAAVs_structure.sh
@@ -0,0 +1,221 @@
+#!/bin/bash
+source 00.sh
+set -e
+
+make_structure_db() {
+    anvi-gen-structure-database -c test-output/one_contig_five_genes.db \
+                                --gene-caller-ids 2,4 \
+                                --dump-dir test-output/RAW_MODELLER_OUTPUT \
+                                --output-db-path test-output/STRUCTURE.db \
+                                --very-fast \
+                                --debug \
+                                --alignment-fraction-cutoff 0.7 \
+                                --num-threads 2 \
+                                --num-models 1
+}
+gen_var_profile1() {
+    anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
+                                 -c test-output/one_contig_five_genes.db \
+                                 -s test-output/STRUCTURE.db \
+                                 -C default \
+                                 -b bin1 \
+                                 --engine AA \
+                                 -o test-output/variability_AA.txt
+}
+gen_var_profile2() {
+    anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
+                                 -c test-output/one_contig_five_genes.db \
+                                 -s test-output/STRUCTURE.db \
+                                 -C default \
+                                 -b bin1 \
+                                 --engine CDN \
+                                 -o test-output/variability_CDN.txt
+}
+display_structure1() {
+    anvi-display-structure -p test-output/SAMPLES-MERGED/PROFILE.db \
+              -c test-output/one_contig_five_genes.db \
+              -s test-output/STRUCTURE.db \
+              --gene-caller-ids 2,4 \
+              --debug
+}
+display_structure2() {
+    anvi-display-structure -V test-output/variability_AA.txt \
+              -c test-output/one_contig_five_genes.db \
+              -s test-output/STRUCTURE.db \
+              --debug
+}
+display_structure3() {
+    anvi-display-structure -p test-output/SAMPLES-MERGED/PROFILE.db \
+              -c test-output/one_contig_five_genes.db \
+              -s test-output/EXTERNAL_STRUCTURE.db \
+              --gene-caller-ids 2,4 \
+              --debug
+}
+
+make_routine() {
+    INFO "anvi-gen-structure-database with DSSP"
+    make_structure_db
+
+    INFO "anvi-update-structure-database"
+    anvi-update-structure-database -c test-output/one_contig_five_genes.db -s test-output/STRUCTURE.db --gene-caller-ids 2 --rerun
+
+    INFO "anvi-export-structures"
+    anvi-export-structures -o test-output/exported_pdbs -s test-output/STRUCTURE.db
+
+    INFO "make db with external structures"
+    cat <<EOF > external_structures
+gene_callers_id	path
+2	test-output/exported_pdbs/gene_2.pdb
+EOF
+    anvi-gen-structure-database -o test-output/EXTERNAL_STRUCTURE.db --external-structures external_structures -c test-output/one_contig_five_genes.db --debug
+
+    INFO "update db with external structures"
+    cat <<EOF > external_structures
+gene_callers_id	path
+2	test-output/exported_pdbs/gene_2.pdb
+4	test-output/exported_pdbs/gene_4.pdb
+EOF
+    anvi-update-structure-database -s test-output/EXTERNAL_STRUCTURE.db --external-structures external_structures -c test-output/one_contig_five_genes.db --rerun --debug
+}
+
+display_routine() {
+    INFO "anvi-gen-variability-profile --engine AA"
+    gen_var_profile1
+
+    INFO "anvi-gen-variability-profile --engine CDN"
+    gen_var_profile2
+
+    INFO "anvi-display-structure with profile database"
+    display_structure1
+
+    INFO "anvi-display-structure with variability"
+    display_structure2
+
+    INFO "anvi-display-structure with external structure database"
+    display_structure3
+}
+
+
+if [ $# -eq 0  ]
+then
+      echo "\
+
+        No arguments supplied. You must call this script with one argument: 'new', 'make',
+        or 'display':
+
+        'new'     : generate short reads, map them to the contig, gen contigs.db, make structure db, profile varability, open interactive.
+        'make'    : make structure db, profile varability, open interactive.
+        'display' : profile varability, open interactive.
+        "
+        exit -1
+fi
+
+if [ $# -gt 1  ]
+then
+      echo "
+        This scripts expect only one argument ('new', or 'continue').
+        "
+        exit -1
+fi
+
+if [ $1 = "new"  ]
+then
+    INFO "Creating the output directory"
+    # change directory and clean the old mess if it exists
+    cd sandbox
+    rm -rf test-output
+    mkdir test-output
+    
+    INFO "Anvo'o version"
+    anvi-profile --version
+    
+    INFO "Generating a Bowtie2 ref"
+    bowtie2-build mock_data_for_structure/one_contig_five_genes.fa test-output/one_contig_five_genes.build
+
+    INFO "Generating anvi'o contigs database"
+    anvi-gen-contigs-database -f mock_data_for_structure/one_contig_five_genes.fa -o test-output/one_contig_five_genes.db -n "5 genes concatenated"
+
+    for sample in 01 02 03 04 05
+    do
+        INFO "Generating short reads for sample $sample"
+        anvi-script-gen-short-reads mock_data_for_structure/$sample.ini --output-file-path test-output/$sample.fa
+
+        INFO "Mapping short reads to the ref"
+        ../misc/bowtie_batch_single_fasta.sh test-output/$sample.fa test-output/$sample test-output/one_contig_five_genes.build
+
+        INFO "Profiling the BAM file"
+        anvi-profile -i test-output/$sample.bam -c test-output/one_contig_five_genes.db -o test-output/$sample-PROFILE -M 0 --profile-SCVs
+    done
+
+    INFO "Merging all"
+    anvi-merge test-output/*PROFILE/PROFILE.db -c test-output/one_contig_five_genes.db -o test-output/SAMPLES-MERGED
+
+    INFO "Defining a collection and bin"
+    anvi-import-collection mock_data_for_structure/collection.txt -c test-output/one_contig_five_genes.db -p test-output/SAMPLES-MERGED/PROFILE.db -C default
+
+    INFO "Importing additional layers data"
+    anvi-import-misc-data mock_data_for_structure/additional_layers_data.txt -p test-output/SAMPLES-MERGED/PROFILE.db --target-data-table layers
+
+    make_routine
+    display_routine
+
+####################################################################################
+
+elif [ $1 = "make"  ]
+then
+    cd sandbox
+
+    if [ ! -f "test-output/one_contig_five_genes.db"  ]
+    then
+      echo "
+        You asked to continue with the previously generated files,
+        but the contigs database is not there. Maybe you should start
+        from scratch by re-running this script with the parameter 'new'.
+        "
+        exit -1
+    else
+        INFO "Attempting to continue with the previously generated files"
+    fi
+
+    rm -rf test-output/STRUCTURE.db
+    rm -rf test-output/EXTERNAL_STRUCTURE.db
+    rm -rf test-output/RAW_MODELLER_OUTPUT
+    rm -rf test-output/exported_pdbs
+
+    make_routine
+    display_routine
+
+    echo
+    echo
+
+elif [ $1 = "display"  ]
+then
+    cd sandbox
+
+    if [ ! -f "test-output/STRUCTURE.db"  ]
+    then
+      echo "
+        You asked to continue with the previously generated files,
+        but the structure database is not there. Maybe you should start
+        from scratch by re-running this script with the parameter 'new'.
+        "
+        exit -1
+    else
+        INFO "Attempting to continue with the previously generated files"
+    fi
+
+    rm -rf test-output/variability_CDN.txt
+    rm -rf test-output/variability_AA.txt
+
+    display_routine
+
+    echo
+    echo
+
+else
+      echo "
+        Unknown parameter $1 :/ Try 'new', or 'make', or 'display'.
+        "
+        exit -1
+fi
+
diff --git a/anvio/tests/run_component_tests_for_SNVs.sh b/anvio/tests/run_component_tests_for_SNVs.sh
new file mode 100755
index 0000000000..be050c26fb
--- /dev/null
+++ b/anvio/tests/run_component_tests_for_SNVs.sh
@@ -0,0 +1,222 @@
+#!/bin/bash
+source 00.sh
+set -e
+
+if [ $# -eq 0  ]
+then
+      echo "\
+
+        No arguments supplied. You must call this script with one argument: 'new',
+        or 'continue':
+
+        'new'     : generate short reads, map them to the contig, gen contigs.db, run profiling.
+        'continue': re-run profiling.
+        "
+        exit -1
+fi
+
+if [ $# -gt 1  ]
+then
+      echo "
+        This scripts expect only one argument ('new', or 'continue').
+        "
+        exit -1
+fi
+
+if [ $1 = "new"  ]
+then
+    INFO "Creating the output directory"
+    # change directory and clean the old mess if it exists
+    cd sandbox
+    rm -rf test-output
+    mkdir test-output
+
+    INFO "Anvo'o version"
+    anvi-profile --version
+
+    INFO "Generating a Bowtie2 ref"
+    bowtie2-build single_contig.fa test-output/single_contig
+
+    INFO "Generating anvi'o contigs database"
+    anvi-gen-contigs-database -f single_contig.fa -o test-output/single_contig.db -L 60 -n "Single contig"
+
+    for sample in 01 02 03 04 05
+    do
+        INFO "Generating short reads for sample $sample"
+        anvi-script-gen-short-reads config_files_for_variability_testing/$sample.ini --output-file-path test-output/$sample.fa
+
+        INFO "Mapping short reads to the ref"
+        ../misc/bowtie_batch_single_fasta.sh test-output/$sample.fa test-output/$sample test-output/single_contig
+
+        INFO "Profiling the BAM file"
+        anvi-profile -i test-output/$sample.bam -c test-output/single_contig.db -o test-output/$sample-PROFILE -M 0 --profile-SCVs
+    done
+
+
+    INFO "Merging all"
+    anvi-merge test-output/*/PROFILE.db -c test-output/single_contig.db -o test-output/SAMPLES-MERGED
+
+elif [ $1 = "continue"  ]
+then
+    cd sandbox
+
+    if [ ! -f "test-output/single_contig.db"  ]
+    then
+      echo "
+        You asked to continue with the previously generated files,
+        but the contigs database is not there. Maybe you should start
+        from scratch by re-running this script with the parameter 'new'.
+        "
+        exit -1
+    else
+        INFO "Attempting to continue with the previously generated files"
+
+        rm -rf test-output/*-PROFILE
+        rm -rf test-output/*-MERGED
+
+        for sample in 01 02 03 04 05
+        do
+            INFO "Re-profiling the BAM file"
+            anvi-profile -i test-output/$sample.bam -c test-output/single_contig.db -o test-output/$sample-PROFILE -M 0 --profile-SCVs
+        done
+
+        INFO "Merging all"
+        anvi-merge test-output/*/PROFILE.db -c test-output/single_contig.db -o test-output/SAMPLES-MERGED
+    fi
+else
+      echo "
+        Unknown parameter $1 :/ Try 'new', or 'continue'.
+        "
+        exit -1
+fi
+
+INFO "Importing a default state"
+anvi-import-state -s config_files_for_variability_testing/default.json -n default -p test-output/SAMPLES-MERGED/PROFILE.db
+
+# splits of interest:
+cat << EOF > test-output/splits_of_interest.txt
+recA_split_00001
+recA_split_00002
+recA_split_00003
+EOF
+
+INFO "anvi-gen-variability for NT"
+anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
+                             -c test-output/single_contig.db \
+                             -o test-output/variability_NT.txt \
+                             --splits-of-interest test-output/splits_of_interest.txt \
+                             --quince-mode \
+                             --engine NT
+
+INFO "anvi-gen-variability for NT no quince"
+anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
+                             -c test-output/single_contig.db \
+                             -o test-output/variability_NT_no_quince.txt \
+                             --splits-of-interest test-output/splits_of_interest.txt \
+                             --engine NT
+
+SHOW_FILE test-output/variability_NT.txt
+
+INFO "anvi-gen-variability for AA"
+anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
+                             -c test-output/single_contig.db \
+                             -o test-output/variability_AA.txt \
+                             --splits-of-interest test-output/splits_of_interest.txt \
+                             --quince-mode \
+                             --engine AA
+
+SHOW_FILE test-output/variability_AA.txt
+
+INFO "anvi-gen-variability for AA (--kiefl-mode)"
+anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
+                             -c test-output/single_contig.db \
+                             -o test-output/variability_AA_kiefl.txt \
+                             --splits-of-interest test-output/splits_of_interest.txt \
+                             --kiefl-mode \
+                             --engine AA
+
+SHOW_FILE test-output/variability_AA_kiefl.txt
+
+INFO "anvi-gen-variability for CDN"
+anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
+                             -c test-output/single_contig.db \
+                             -o test-output/variability_CDN.txt \
+                             --gene-caller-ids 0 \
+                             --quince-mode \
+                             --include-site-pnps \
+                             --engine CDN
+
+SHOW_FILE test-output/variability_CDN.txt
+
+INFO "anvi-gen-variability for CDN (--kiefl-mode)"
+anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
+                             -c test-output/single_contig.db \
+                             -o test-output/variability_CDN_kiefl.txt \
+                             --splits-of-interest test-output/splits_of_interest.txt \
+                             --include-site-pnps \
+                             --kiefl-mode \
+                             --engine CDN
+
+SHOW_FILE test-output/variability_CDN_kiefl.txt
+
+INFO "anvi-gen-fixation-index-matrix for NT"
+anvi-gen-fixation-index-matrix -p test-output/SAMPLES-MERGED/PROFILE.db \
+                               -c test-output/single_contig.db \
+                               -o test-output/fixation_NT.txt \
+                               --splits-of-interest test-output/splits_of_interest.txt \
+                               --engine NT
+
+INFO "anvi-gen-fixation-index-matrix for NT with external table"
+anvi-gen-fixation-index-matrix -V test-output/variability_NT.txt \
+                               -o test-output/fixation_NT_external.txt \
+                               --engine NT
+
+INFO "anvi-gen-fixation-index-matrix for NT with external table no quince"
+anvi-gen-fixation-index-matrix -V test-output/variability_NT_no_quince.txt \
+                               -o test-output/fixation_NT_external_no_quince.txt \
+                               --engine NT
+
+INFO "diff between test-output/fixation_NT_external.txt and test-output/fixation_NT.txt (should be same)"
+SHOW_FILE test-output/fixation_NT.txt
+SHOW_FILE test-output/fixation_NT_external.txt
+
+INFO "comparison between test-output/fixation_NT_external_no_quince.txt and test-output/fixation_NT_external.txt"
+INFO "(the value should be the same but the order of the samples becomes arbitrary)"
+SHOW_FILE test-output/fixation_NT_external_no_quince.txt
+SHOW_FILE test-output/fixation_NT_external.txt
+
+INFO "anvi-gen-fixation-index-matrix for NT with external table no quince"
+rm -rf test-output/pn_ps_ratio_output
+anvi-get-pn-ps-ratio -V test-output/variability_CDN.txt \
+                     -c test-output/single_contig.db \
+                     -o test-output/pn_ps_ratio_output \
+                     -m 10 \
+                     -i 3
+
+INFO "anvi-gen-gene-consensus-sequences for gene mode"
+anvi-gen-gene-consensus-sequences -p test-output/SAMPLES-MERGED/PROFILE.db \
+                                  -c test-output/single_contig.db \
+                                  -o test-output/consensus_sequence_gene.fa \
+                                  --gene-caller-ids 0
+cat test-output/consensus_sequence_gene.fa
+
+INFO "anvi-gen-gene-consensus-sequences for gene mode compressed samples"
+anvi-gen-gene-consensus-sequences -p test-output/SAMPLES-MERGED/PROFILE.db \
+                                  -c test-output/single_contig.db \
+                                  -o test-output/consensus_sequence_gene_compressed.fa \
+                                  --gene-caller-ids 0 \
+                                  --compress
+cat test-output/consensus_sequence_gene_compressed.fa
+
+INFO "anvi-gen-gene-consensus-sequences for contigs mode"
+anvi-gen-gene-consensus-sequences -p test-output/SAMPLES-MERGED/PROFILE.db \
+                                  -c test-output/single_contig.db \
+                                  -o test-output/consensus_sequence_contig.fa \
+                                  --contigs-mode
+cat test-output/consensus_sequence_contig.fa
+
+INFO "Do you want the interactive interface? Run the following:"
+
+echo "anvi-interactive -p `pwd`/test-output/SAMPLES-MERGED/PROFILE.db -c `pwd`/test-output/single_contig.db"
+echo
+echo
diff --git a/anvio/tests/run_component_tests_for_alons_classifier.sh b/anvio/tests/run_component_tests_for_alons_classifier.sh
new file mode 100755
index 0000000000..e557569001
--- /dev/null
+++ b/anvio/tests/run_component_tests_for_alons_classifier.sh
@@ -0,0 +1,81 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+# Setting the folder where the files are
+files=$files/mock_files_for_alons_classifier
+
+INFO "Initializing raw BAM files"
+# init raw bam files.
+for f in 41 62 74 75 79 94
+do
+    anvi-init-bam $files/HMP00$f-RAW.bam --output-file $output_dir/HMP00$f.bam
+    echo
+done
+
+INFO "Generating the TEST contigs database"
+anvi-gen-contigs-database -f $files/TEST.fa -o $output_dir/CONTIGS.db
+
+# profiling generates individual directiorues uner $output_dir directory for each sample.
+for f in 41 62 74 75 79 94
+do
+    INFO "Profiling sample SAMPLE-$f"
+    anvi-profile -i $output_dir/HMP00$f.bam -o $output_dir/HMP00$f -c $output_dir/CONTIGS.db --skip-SNV-profiling
+    echo
+done
+
+
+INFO "Merging profiles"
+anvi-merge $output_dir/HMP00*/PROFILE.db -o $output_dir/SAMPLES-MERGED -c $output_dir/CONTIGS.db --skip-concoct-binning
+
+INFO "Importing collection"
+anvi-import-collection -c $output_dir/CONTIGS.db -p $output_dir/SAMPLES-MERGED/PROFILE.db $files/TEST-COLLECTION.txt -C TEST
+
+# INFO "Run anvi-mcg-classifier on PROFILE database"
+# anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db -c $output_dir/CONTIGS.db -O $output_dir/TEST-ALL
+
+#INFO "Running anvi-mcg-classifier on TAB-delimited files (no PROFILE database)"
+#anvi-mcg-classifier -d $output_dir/TEST-ALL-gene-coverages.txt -D $output_dir/TEST-ALL-gene-detections.txt -O $output_dir/TEST-ALL-TAB-delim
+
+INFO "Running anvi-mcg-classifier on a collection"
+anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db -c $output_dir/CONTIGS.db -O $output_dir/TEST-ALL-BINS -C TEST
+
+INFO "Running anvi-mcg-classifier on a bin"
+anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db -c $output_dir/CONTIGS.db -O $output_dir/TEST-Bin_1 -C TEST -b Bin_1
+
+INFO "Running anvi-mcg-classifier on a bin with samples to exclude"
+anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db -c $output_dir/CONTIGS.db -O $output_dir/TEST-Bin_exclude -C TEST -b Bin_1 --exclude-samples $files/samples_to_exclude.txt
+
+INFO "Running anvi-mcg-classifier on a bin with samples to include"
+anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db -c $output_dir/CONTIGS.db -O $output_dir/TEST-Bin_include -C TEST -b Bin_1 --include-samples $files/samples_to_include.txt
+
+INFO "Summarizing collection TEST with --init-gene-coverages"
+anvi-summarize -p $output_dir/SAMPLES-MERGED/PROFILE.db -c $output_dir/CONTIGS.db -C TEST -o $output_dir/SAMPLES-MERGED-SUMMARY --init-gene-coverages
+
+INFO "A round of dry run to get the profile db created for Bin_1"
+anvi-interactive -p $output_dir/mock_profile_Bin_1.db \
+                 -d $output_dir/SAMPLES-MERGED-SUMMARY/bin_by_bin/Bin_1/Bin_1-gene_coverages.txt \
+                 --manual \
+                 --dry-run
+
+INFO "Importing a default state into newly generated profile database"
+anvi-import-state -p $output_dir/mock_profile_Bin_1.db \
+                  --state $files/default.json \
+                  --name default
+
+INFO "Importing MCG data for Bin 1 into the ad hoc profile database"
+anvi-import-misc-data $output_dir/TEST-Bin_1-additional-layers.txt \
+                      -p $output_dir/mock_profile_Bin_1.db \
+                      -t items
+anvi-import-misc-data $output_dir/TEST-Bin_1-samples-information.txt \
+                      -p $output_dir/mock_profile_Bin_1.db \
+                      -t layers
+
+INFO "Firing up the interactive interface for genes in Bin 1"
+anvi-interactive -p $output_dir/mock_profile_Bin_1.db \
+                 -d $output_dir/SAMPLES-MERGED-SUMMARY/bin_by_bin/Bin_1/Bin_1-gene_coverages.txt \
+                 --title "Alon's gene classifier" \
+                 --manual
diff --git a/anvio/tests/run_component_tests_for_display_functions.sh b/anvio/tests/run_component_tests_for_display_functions.sh
new file mode 100755
index 0000000000..e1a10a8d42
--- /dev/null
+++ b/anvio/tests/run_component_tests_for_display_functions.sh
@@ -0,0 +1,26 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+INFO "Setting up the metabolism test directory"
+mkdir $output_dir/functions_display
+cp $files/data/genomes/bacteria/*.db                    $output_dir/functions_display
+cp $files/data/genomes/archaea/*.db                     $output_dir/functions_display
+cp $files/data/input_files/external-genomes.txt         $output_dir/functions_display
+cp $files/data/input_files/groups.txt                   $output_dir/functions_display
+cd $output_dir/functions_display
+
+INFO "Running anvi-display-functions without groups"
+anvi-display-functions -e external-genomes.txt \
+                       --annotation-source COG20_FUNCTION \
+                       -p COG20_FUNCTION.db \
+                       --dry
+
+INFO "Running anvi-display-functions with groups"
+anvi-display-functions -e external-genomes.txt \
+                       --groups groups.txt \
+                       --annotation-source COG20_FUNCTION \
+                       -p COG20_FUNCTION_W_GROUPS.db
diff --git a/anvio/tests/run_component_tests_for_export_locus.sh b/anvio/tests/run_component_tests_for_export_locus.sh
new file mode 100755
index 0000000000..9aa8ba399d
--- /dev/null
+++ b/anvio/tests/run_component_tests_for_export_locus.sh
@@ -0,0 +1,27 @@
+
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+INFO "Setting up the anvi-export-locus test directory"
+mkdir $output_dir/export_locus_test
+cp $files/data/genomes/bacteria/*.db                    $output_dir/export_locus_test
+cp $files/data/genomes/archaea/*.db                     $output_dir/export_locus_test
+cp $files/data/metagenomes/human_gut/IGD_SUBSET/*.db    $output_dir/export_locus_test
+cp $files/data/input_files/*.txt                        $output_dir/export_locus_test
+
+cd $output_dir/export_locus_test
+
+mkdir test
+
+INFO "Running anvi-export-locus in default-mode"
+anvi-export-locus -c CONTIGS.db --gene-caller-id 68 -n 7,7 -o test/ -O metagenome_68
+
+INFO "Running anvi-export-locus in flank-mode with premature contig end"
+anvi-export-locus -c CONTIGS.db --gene-caller-id 8616 -o test/ -n 7,30 -O metagenome_premature 
+
+INFO "Running anvi-export-locus in flank-mode"
+anvi-export-locus -c CONTIGS.db --gene-caller-id 68,78 -o test/ -O metagenome_68_78 --flank-mode
\ No newline at end of file
diff --git a/anvio/tests/run_component_tests_for_gene_level_stats.sh b/anvio/tests/run_component_tests_for_gene_level_stats.sh
new file mode 100755
index 0000000000..434f12380d
--- /dev/null
+++ b/anvio/tests/run_component_tests_for_gene_level_stats.sh
@@ -0,0 +1,41 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+# Set INSEQ files path
+inseq_files=$files/example_files_for_inseq_tnseq
+
+cp $inseq_files/CONTIGS.db $output_dir/CONTIGS.db
+cp $inseq_files/PROFILE.db $output_dir/PROFILE.db
+cp $inseq_files/AUXILIARY-DATA.db $output_dir/AUXILIARY-DATA.db
+
+INFO "Migrate all dbs"
+anvi-migrate $output_dir/*db --migrate-quickly
+
+# Generate gene-level-stats database
+INFO "Computing gene level stats database"
+anvi-gen-gene-level-stats-databases -p $output_dir/PROFILE.db \
+                                    -c $output_dir/CONTIGS.db \
+                                    -C DEFAULT -b EVERYTHING
+
+# Delete the GENE database
+rm -r $output_dir/GENES/
+
+# Compute INSeq stats database
+INFO "Computing INSeq stats database"
+anvi-gen-gene-level-stats-databases -p $output_dir/PROFILE.db \
+                                    -c $output_dir/CONTIGS.db  \
+                                    -C DEFAULT \
+                                    -b EVERYTHING \
+                                    --inseq-stats \
+                                    --just-do-it
+
+# Visualize the bin in gene-mode:
+anvi-interactive -p $output_dir/PROFILE.db \
+                 -c $output_dir/CONTIGS.db  \
+                 -C DEFAULT \
+                 -b EVERYTHING \
+                 --gene-mode
diff --git a/anvio/tests/run_component_tests_for_indels.sh b/anvio/tests/run_component_tests_for_indels.sh
new file mode 100755
index 0000000000..3aa4495f8d
--- /dev/null
+++ b/anvio/tests/run_component_tests_for_indels.sh
@@ -0,0 +1,75 @@
+#!/bin/bash
+source 00.sh
+set -e
+
+INFO "Creating the output directory"
+# change directory and clean the old mess if it exists
+cd sandbox
+rm -rf test-output
+mkdir test-output
+mkdir test-output/small
+mkdir test-output/large
+
+INFO "Anvo'o version"
+anvi-profile --version
+
+#########################################################
+
+INFO "Generating a Bowtie2 ref"
+bowtie2-build files_for_indel_testing/small/contig.fa test-output/small/contig
+
+INFO "Generating anvi'o contigs database"
+anvi-gen-contigs-database -f files_for_indel_testing/small/contig.fa -o test-output/small/contig.db -L -1 -n "Contig" --skip-gene-calling
+
+INFO "Generating short reads for sample $sample"
+anvi-script-gen-short-reads files_for_indel_testing/small/sample.ini --output-file-path test-output/small/sample.fa
+
+INFO "Mapping short reads to the ref"
+../misc/bowtie_batch_single_fasta.sh test-output/small/sample.fa test-output/small/sample test-output/small/contig
+
+INFO "Profiling the BAM file"
+anvi-profile -i test-output/small/sample.bam -c test-output/small/contig.db -o test-output/small/sample-PROFILE -M 0 --cluster-contigs
+
+INFO "Importing the state"
+anvi-import-state -s files_for_indel_testing/small/sample.json -p test-output/small/sample-PROFILE/PROFILE.db -n default
+
+INFO "Visualizing the profile"
+anvi-interactive -c test-output/small/contig.db -p test-output/small/sample-PROFILE/PROFILE.db
+
+#########################################################
+
+INFO "Generating a Bowtie2 ref"
+bowtie2-build files_for_indel_testing/large/contig.fa test-output/large/contig
+bowtie2-build files_for_indel_testing/large/contig_T300del.fa test-output/large/contig_T300del
+
+INFO "Generating anvi'o contigs database"
+anvi-gen-contigs-database -f files_for_indel_testing/large/contig.fa -o test-output/large/contig.db -L -1 -n "No del" --skip-gene-calling
+anvi-gen-contigs-database -f files_for_indel_testing/large/contig_T300del.fa -o test-output/large/contig_T300del.db -L -1 -n "T300del" --skip-gene-calling
+
+INFO "Generating short reads for sample $sample"
+anvi-script-gen-short-reads files_for_indel_testing/large/sample.ini --output-file-path test-output/large/sample.fa
+anvi-script-gen-short-reads files_for_indel_testing/large/sample_T300del.ini --output-file-path test-output/large/sample_T300del.fa
+
+INFO "Mapping short reads to the ref"
+../misc/bowtie_batch_single_fasta.sh test-output/large/sample.fa test-output/large/sample test-output/large/contig
+../misc/bowtie_batch_single_fasta.sh test-output/large/sample_T300del.fa test-output/large/sample_T300del test-output/large/contig_T300del
+
+INFO "Mapping short reads onto opposite ref"
+../misc/bowtie_batch_single_fasta.sh test-output/large/sample.fa test-output/large/sample_norm_on_del test-output/large/contig_T300del
+../misc/bowtie_batch_single_fasta.sh test-output/large/sample_T300del.fa test-output/large/sample_del_on_norm test-output/large/contig
+
+INFO "Profiling the BAM files"
+anvi-profile -i test-output/large/sample.bam             -c test-output/large/contig.db         -o test-output/large/sample-PROFILE -M 0 --cluster-contigs
+anvi-profile -i test-output/large/sample_del_on_norm.bam -c test-output/large/contig.db         -o test-output/large/sample-PROFILE_del_on_norm -M 0 --cluster-contigs
+
+anvi-profile -i test-output/large/sample_T300del.bam     -c test-output/large/contig_T300del.db -o test-output/large/sample-PROFILE_T300del -M 0 --cluster-contigs
+anvi-profile -i test-output/large/sample_norm_on_del.bam -c test-output/large/contig_T300del.db -o test-output/large/sample-PROFILE_norm_on_del -M 0 --cluster-contigs
+
+INFO "Profiling the BAM files"
+anvi-merge test-output/large/sample-PROFILE/PROFILE.db test-output/large/sample-PROFILE_del_on_norm/PROFILE.db -c test-output/large/contig.db -o test-output/large/MERGED
+anvi-merge test-output/large/sample-PROFILE_T300del/PROFILE.db test-output/large/sample-PROFILE_norm_on_del/PROFILE.db -c test-output/large/contig_T300del.db -o test-output/large/MERGED_T300del
+
+INFO "Visualizing the profile"
+anvi-interactive -c test-output/large/contig.db -p test-output/large/MERGED/PROFILE.db
+anvi-interactive -c test-output/large/contig_T300del.db -p test-output/large/MERGED_T300del/PROFILE.db
+
diff --git a/anvio/tests/run_component_tests_for_manual_interactive.sh b/anvio/tests/run_component_tests_for_manual_interactive.sh
new file mode 100755
index 0000000000..4a77ffaca1
--- /dev/null
+++ b/anvio/tests/run_component_tests_for_manual_interactive.sh
@@ -0,0 +1,47 @@
+#!/bin/bash
+source 00.sh
+set -e
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+for f in fasta.fa view_data.txt additional_view_data.txt samples-information.txt samples-order.txt
+do
+    cp $files/files_for_manual_interactive/$f $output_dir/
+done
+
+
+INFO "Generating a newick file from the data ..."
+anvi-matrix-to-newick $output_dir/view_data.txt \
+                      -o $output_dir/tree.txt
+
+INFO "Running a dry run to generate a profile database (to populate it with additional misc data)"
+anvi-interactive -d $output_dir/view_data.txt \
+                 --manual-mode \
+                 -p $output_dir/test.db \
+                 --dry-run
+
+INFO "Importing items additional data"
+anvi-import-misc-data -p $output_dir/test.db \
+                      $output_dir/additional_view_data.txt \
+                      -t items
+
+INFO "Importing layers additional data"
+anvi-import-misc-data -p $output_dir/test.db \
+                      $output_dir/samples-information.txt \
+                      -t layers
+
+INFO "Importing layer order data"
+anvi-import-misc-data -p $output_dir/test.db \
+                      $output_dir/samples-order.txt \
+                      -t layer_orders
+
+INFO "Running the interactive interface on files"
+anvi-interactive -f $output_dir/fasta.fa \
+                 -d $output_dir/view_data.txt \
+                 -p $output_dir/test.db \
+                 -t $output_dir/tree.txt \
+                 --title "Interactive Interface Without Anvi'o Files"\
+                 --manual-mode \
+                 $dry_run_controller
diff --git a/anvio/tests/run_component_tests_for_metagenomics.sh b/anvio/tests/run_component_tests_for_metagenomics.sh
new file mode 100755
index 0000000000..af9bf60693
--- /dev/null
+++ b/anvio/tests/run_component_tests_for_metagenomics.sh
@@ -0,0 +1,1054 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+INFO "Reformat the contigs FASTA"
+anvi-script-reformat-fasta $files/contigs.fa -o $output_dir/contigs.fa \
+                                             -l 0 \
+                                             --simplify-names \
+                                             --prefix test_prefix \
+                                             --report $output_dir/contigs-reformat-report.txt \
+                                             --no-progress
+SHOW_FILE $output_dir/contigs-reformat-report.txt
+
+# we first generate an empty contigs database using contigs.fa (keep in mind that 'contigs.fa'
+# is the original file all samples were mapped to). here we use split size of 1000 (the default split
+# size is much better for most projects. the small split size used here is simply for testing purposes)
+INFO "Generating a new contigs database with external gene calls"
+anvi-gen-contigs-database -f $files/contigs.fa \
+                          -o $output_dir/CONTIGS.db \
+                          -L 1000 \
+                          --external-gene-calls $files/example_external_gene_calls.txt \
+                          --project-name 'Contigs DB with external gene calls' \
+                          --no-progress
+rm -rf $output_dir/CONTIGS.db
+
+INFO "Generating a new contigs database with the default gene caller"
+anvi-gen-contigs-database -f $files/contigs.fa \
+                          -o $output_dir/CONTIGS.db \
+                          -L 1000 \
+                          --project-name "Contigs DB for anvi'o self-tests" \
+                          --no-progress
+
+INFO "Displaying the info for the contigs databse"
+anvi-db-info $output_dir/CONTIGS.db
+
+INFO "Searching for palindromes in a DNA sequence"
+anvi-search-palindromes --dna-sequence TGTGAGTAGCTGCGGCGTCCGCGACCGGCGGGCGGCATGCATTGACGACACGCTCCGGGCCGCTCAGGCCAAGTCTTTACGGTCTTACAACGCATGCCGCCCACCGGTCGCTCGTAGGTGCGGAAAAGTTATTTGAGATAA \
+                        --min-distance 0 \
+                        --max-num-mismatches 2 \
+                        --no-progress
+
+INFO "Searching for palindromes in a FASTA file"
+anvi-search-palindromes -f $output_dir/contigs.fa \
+                        --max-num-mismatches 2 \
+                        --min-palindrome-length 20 \
+                        --blast-word-size 10 \
+                        --output-file $output_dir/PALINDROMES-IN-FASTA.txt \
+                        --no-progress
+SHOW_FILE $output_dir/PALINDROMES-IN-FASTA.txt
+
+INFO "Searching for palindromes in a contigs database"
+anvi-search-palindromes -c $output_dir/CONTIGS.db \
+                        --max-num-mismatches 2 \
+                        --min-palindrome-length 20 \
+                        --blast-word-size 10 \
+                        --output-file $output_dir/PALINDROMES-IN-CONTIGS-DB.txt \
+                        --no-progress
+SHOW_FILE $output_dir/PALINDROMES-IN-CONTIGS-DB.txt
+
+
+INFO "Initializing raw BAM files"
+# init raw bam files.
+for f in 01 02 03
+do
+    anvi-init-bam $files/SAMPLE-$f-RAW.bam \
+                  --output-file $output_dir/SAMPLE-$f.bam \
+                  --no-progress
+    echo
+done
+
+
+INFO "Rapid profiling of BAM files with anvi-profile blitz in gene mode"
+anvi-profile-blitz $output_dir/*bam \
+                   -c $output_dir/CONTIGS.db \
+                   --gene-mode \
+                   -o $output_dir/PROFILE-BLITZ-GENES.txt \
+                   --no-progress
+
+INFO "Rapid profiling of BAM files with anvi-profile blitz in contig mode"
+anvi-profile-blitz $output_dir/*bam \
+                   -c $output_dir/CONTIGS.db \
+                   --gene-mode \
+                   -o $output_dir/PROFILE-BLITZ-CONTIGS.txt \
+                   --no-progress
+SHOW_FILE $output_dir/PROFILE-BLITZ-CONTIGS.txt
+
+INFO "Setting a new self value in the self table of the contigs databse"
+anvi-db-info $output_dir/CONTIGS.db \
+             --self-key 'a_new_test_key' \
+             --self-value "a new test value" \
+             --just-do-it \
+             --no-progress
+
+INFO "Exporting gene calls from the contigs database"
+anvi-export-gene-calls -c $output_dir/CONTIGS.db \
+                       --gene-caller prodigal \
+                       -o $output_dir/exported_gene_calls.txt \
+                       --no-progress
+
+INFO "Exporting contig sequences from the contigs database"
+anvi-export-contigs -c $output_dir/CONTIGS.db \
+                    -o $output_dir/exported_contig_sequences.fa \
+                    --no-progress
+
+INFO "Exporting contig sequences from the contigs database in 'splits mode'"
+anvi-export-contigs -c $output_dir/CONTIGS.db \
+                    -o $output_dir/exported_split_sequences.fa \
+                    --splits-mode \
+                    --no-progress
+
+INFO "Searching for sequence motifs in the contigs database"
+anvi-search-sequence-motifs -c $output_dir/CONTIGS.db \
+                            --motifs ATCG,TAAAT \
+                            --output-file $output_dir/sequence-motifs-in-contigs.txt \
+                            --no-progress
+SHOW_FILE $output_dir/sequence-motifs-in-contigs.txt
+
+INFO "Populating taxonomy for splits table in the database using 'centrifuge' parser"
+anvi-import-taxonomy-for-genes -c $output_dir/CONTIGS.db \
+                               -p centrifuge \
+                               -i $files/example_files_for_centrifuge_taxonomy/centrifuge_report.tsv $files/example_files_for_centrifuge_taxonomy/centrifuge_hits.tsv \
+                               --no-progress
+
+INFO "Trying to remove HMM sources from the contigs database (when there are none in it)"
+anvi-delete-hmms -c $output_dir/CONTIGS.db \
+                 --just-do-it \
+                 --no-progress
+
+INFO "Populating HMM hits tables in the latest contigs database using default HMM profiles"
+anvi-run-hmms -c $output_dir/CONTIGS.db \
+              --num-threads 2 \
+              --no-progress
+
+INFO "Populating HMM hits tables in the latest contigs database using a mock HMM collection from an external directory"
+anvi-run-hmms -c $output_dir/CONTIGS.db \
+              -H $files/external_hmm_profile \
+              --no-progress
+
+INFO "Generating an ad hoc HMM source from two PFAM accessions (A STEP THAT REQUIRES INTERNET CONNECTION AND RESPONSE FROM XFAM.ORG)"
+anvi-script-pfam-accessions-to-hmms-directory --pfam-accessions-list PF00705 PF00706 \
+                                              -O $output_dir/ADHOC_HMMs \
+                                              --no-progress
+
+INFO "Running the HMMs in the ad hoc user directory"
+anvi-run-hmms -c $output_dir/CONTIGS.db \
+              -H $output_dir/ADHOC_HMMs \
+              --no-progress
+
+INFO "Rerunning HMMs for a specific installed profile"
+anvi-run-hmms -c $output_dir/CONTIGS.db \
+              -I Ribosomal_RNA_16S \
+              --just-do-it \
+              --no-progress
+
+INFO "Rerunning HMMs with hmmsearch"
+anvi-run-hmms -c $output_dir/CONTIGS.db \
+              -I Bacteria_71 \
+              --hmmer-program hmmsearch \
+              --hmmer-output-dir $output_dir \
+              --domain-hits-table \
+              --just-do-it \
+              --no-progress
+
+INFO "Filtering hmm_hits using target coverage"
+anvi-script-filter-hmm-hits-table -c $output_dir/CONTIGS.db \
+                                  --domain-hits-table $output_dir/hmm.domtable \
+                                  --hmm-source Bacteria_71 \
+                                  --target-coverage 0.9 \
+                                  --no-progress
+
+INFO "Listing all available HMM sources in the contigs database"
+anvi-delete-hmms -c $output_dir/CONTIGS.db \
+                 --list \
+                 --no-progress
+
+INFO "Removing HMM hits for Rinke_et_al from the contigs database"
+anvi-delete-hmms -c $output_dir/CONTIGS.db \
+                 --hmm-source Rinke_et_al \
+                 --no-progress
+
+INFO "Export genomic locus using HMM"
+anvi-export-locus -c $output_dir/CONTIGS.db \
+                  -O $output_dir/exported_locus_from_hmm \
+                  -n 22,22 \
+                  -s RNA_pol_Rpb6 \
+                  --use-hmm \
+                  --hmm-sources Bacteria_71 \
+                  --no-progress
+
+INFO "Export genomic locus using HMM (multiple, only 1 expected hit)"
+anvi-export-locus -c $output_dir/CONTIGS.db \
+                  -O $output_dir/exported_locus_from_hmm_multi \
+                  -n 22,22 \
+                  -s RNA_pol_Rpb6,fake_gene \
+                  --use-hmm \
+                  --hmm-sources Bacteria_71 \
+                  --no-progress
+
+INFO "Recovering completeness esimates for the contigs db"
+anvi-compute-completeness -c $output_dir/CONTIGS.db
+
+INFO "Importing gene function calls using 'interproscan' parser"
+anvi-import-functions -c $output_dir/CONTIGS.db \
+                      -i $files/example_interpro_output.tsv \
+                      -p interproscan \
+                      --no-progress
+
+INFO "Listing all available function call sources in the contigs database"
+anvi-export-functions -c $output_dir/CONTIGS.db \
+                      --list-annotation-sources \
+                      --no-progress
+
+INFO "Deleting gene functions that do not exist along with those that do"
+anvi-delete-functions -c $output_dir/CONTIGS.db \
+                      --annotation-sources PRINTS,XXX,PIRSF,YYY \
+                      --no-progress
+
+INFO "Importing gene function calls INCREMENTALLY using a TAB-delimited default input matrix"
+anvi-import-functions -c $output_dir/CONTIGS.db \
+                      -i $files/example_gene_functions_input_matrix.txt \
+                      --no-progress
+
+INFO "REPLACING gene function calls using a TAB-delimited default input matrix"
+anvi-import-functions -c $output_dir/CONTIGS.db \
+                      -i $files/example_gene_functions_input_matrix.txt \
+                      --drop-previous-annotations \
+                      --no-progress
+
+INFO "Export all functional annotations"
+anvi-export-functions -c $output_dir/CONTIGS.db \
+                      -o $output_dir/exported_functions_from_all_sources.txt \
+                      --no-progress
+SHOW_FILE $output_dir/exported_functions_from_all_sources.txt
+
+INFO "Export genomic locus using functional annotation search"
+anvi-export-locus -c $output_dir/CONTIGS.db \
+                  -O $output_dir/exported_locus_from_functions \
+                  -n 22,22 \
+                  -s NusB \
+                  --force-overwrite \
+                  --no-progress
+
+INFO "Export genomic locus using functional annotation search (multiple; 2 expected)"
+anvi-export-locus -c $output_dir/CONTIGS.db \
+                  -O $output_dir/exported_locus_from_functions \
+                  -n 22,22 \
+                  -s NusB,'Glutamine amidotransferase class-I' \
+                  --force-overwrite \
+                  --no-progress
+
+INFO "Export genomic locus using functional annotation search in flank-mode"
+anvi-export-locus -c $output_dir/CONTIGS.db \
+                  -O $output_dir/exported_locus_from_functions \
+                  --flank-mode  \
+                  -s NusB,rpoz \
+                  --force-overwrite \
+                  --no-progress
+
+INFO "Export only Pfam annotations"
+anvi-export-functions -c $output_dir/CONTIGS.db \
+                      -o $output_dir/exported_functions_from_source_Pfam.txt \
+                      --annotation-sources Pfam \
+                      --no-progress
+
+INFO "Contigs DB is ready; here are the tables in it:"
+sqlite3 $output_dir/CONTIGS.db '.tables'
+
+INFO "Generating a 'blank profile' with the newly generated contigs database"
+anvi-profile -c $output_dir/CONTIGS.db \
+             -o $output_dir/BLANK-PROFILE \
+             -S BLANK \
+             --blank-profile \
+             --no-progress
+
+INFO "Adding a default collection to the blank profile"
+anvi-script-add-default-collection -c $output_dir/CONTIGS.db \
+                                   -p $output_dir/BLANK-PROFILE/PROFILE.db \
+                                   --no-progress
+
+INFO "Importing a collection into the blank profile"
+anvi-import-collection -c $output_dir/CONTIGS.db \
+                       -p $output_dir/BLANK-PROFILE/PROFILE.db \
+                       -C collection_blank $files/collection_for_blank_profile.txt \
+                       --no-progress
+
+INFO "Summarizing the collection stored in the blank profile"
+anvi-summarize -c $output_dir/CONTIGS.db \
+               -p $output_dir/BLANK-PROFILE/PROFILE.db \
+               -C collection_blank \
+               -o $output_dir/BLANK-SUMMARY \
+               --no-progress
+
+# for each sample, run the profiling using the same split size used for the contigs database.
+# profiling generates individual directiorues uner $output_dir directory for each sample.
+for f in 01 02 03
+do
+    INFO "Profiling sample SAMPLE-$f"
+    anvi-profile -i $output_dir/SAMPLE-$f.bam \
+                 -o $output_dir/SAMPLE-$f \
+                 -c $output_dir/CONTIGS.db \
+                 --profile-SCVs \
+                 --no-progress
+
+    INFO "Importing short-read-level taxonomy for SAMPLE-$f"
+    anvi-import-taxonomy-for-layers -p $output_dir/SAMPLE-$f/PROFILE.db \
+                                    -i $files/example_files_for_kraken_hll_taxonomy/SAMPLE-$f.mpa \
+                                    --parser krakenuniq \
+                                    --no-progress
+
+    INFO "Importing a collection"
+    anvi-import-collection -c $output_dir/CONTIGS.db \
+                           -p $output_dir/SAMPLE-$f/PROFILE.db \
+                           -C CONCOCT \
+                           $files/concoct_mini_test.txt \
+                           --no-progress
+done
+
+INFO "Fast summary of the single profile databases"
+anvi-summarize-blitz $output_dir/SAMPLE-0*/PROFILE.db \
+                     -c $output_dir/CONTIGS.db \
+                     -C CONCOCT \
+                     -o $output_dir/SUMMARY-BLITZ.txt \
+                     --no-progress
+SHOW_FILE $output_dir/SUMMARY-BLITZ.txt
+
+# Run anvi-profile on one of the samples using the multi-process routine, just to make sure it does
+# not crash. FIXME Ideally, this step would compare the identicalness of
+# MULTI-THREAD-SAMPLE-01/PROFILE.db and SAMPLE-01/PROFILE.db
+INFO "Profiling sample SAMPLE-01 with --force-multi"
+anvi-profile -i $output_dir/SAMPLE-01.bam \
+             -o $output_dir/MULTI-THREAD-SAMPLE-01 \
+             -c $output_dir/CONTIGS.db \
+             --cluster \
+             --profile-SCVs \
+             --force-multi \
+             --no-progress
+rm -rf $output_dir/MULTI-THREAD-SAMPLE-01
+
+INFO "Merging profiles"
+anvi-merge $output_dir/*/PROFILE.db -o $output_dir/SAMPLES-MERGED \
+                                    -c $output_dir/CONTIGS.db \
+                                    --description $files/example_description.md \
+                                    --no-progress
+
+INFO "Merging profiles without any clustering"
+anvi-merge $output_dir/*/PROFILE.db -o $output_dir/SAMPLES-MERGED-WO-CLUSTERING \
+                              -c $output_dir/CONTIGS.db \
+                              --skip-hierarchical-clustering \
+                              --no-progress
+
+INFO "Importing a collection file into the merged profile"
+anvi-import-collection -c $output_dir/CONTIGS.db \
+                       -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                       -C CONCOCT \
+                       $files/concoct_mini_test.txt \
+                       --no-progress
+
+INFO "Update the description in the merged profile"
+anvi-update-db-description $output_dir/SAMPLES-MERGED/PROFILE.db \
+                           --description $files/example_description.md \
+                           --no-progress
+
+INFO "Generating coverages and sequences files for splits (for external binning)"
+anvi-export-splits-and-coverages -c $output_dir/CONTIGS.db \
+                                 -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                                 --no-progress
+
+INFO "Generating per-nt position coverage values for a single split across samples"
+anvi-get-split-coverages -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                         -o $output_dir/contig_1720_split_00001_coverages.txt \
+                         --split-name 204_10M_MERGED.PERFECT.gz.keep_contig_1720_split_00001 \
+                         --no-progress
+
+INFO "Generating per-nt position coverage values for splits in a bin across samples"
+anvi-get-split-coverages -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                         -c $output_dir/CONTIGS.db \
+                         -o $output_dir/split_coverages_in_Bin_1.txt \
+                         -C CONCOCT \
+                         -b Bin_1 \
+                         --no-progress
+SHOW_FILE $output_dir/split_coverages_in_Bin_1.txt
+
+INFO "Generating per-nt position coverage values for a single gene with its 20nt flanks across samples"
+anvi-get-split-coverages -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                         -c $output_dir/CONTIGS.db \
+                         -o $output_dir/gene_caller_id_5_coverages.txt \
+                         --gene-caller-id 5 \
+                         --flank-length 20 \
+                         --no-progress
+SHOW_FILE $output_dir/gene_caller_id_5_coverages.txt
+
+INFO "Cluster matrix with missing data"
+anvi-matrix-to-newick $files/example_matrix_with_missing_data.txt \
+                      -o $output_dir/newick_tree_for_matrix_with_missing_data.txt \
+                      --no-progress
+
+INFO "Cluster contigs in the newly generated coverages file"
+anvi-matrix-to-newick $output_dir/SAMPLES-MERGED/SAMPLES_MERGED-COVs.txt
+
+INFO "Cluster contigs in the newly generated coverages file using 'canberra' distance, and 'complete' linkage, and report and additional items order file"
+anvi-matrix-to-newick $output_dir/SAMPLES-MERGED/SAMPLES_MERGED-COVs.txt \
+                      --distance canberra \
+                      --linkage complete \
+                      -o $output_dir/SAMPLES-MERGED/SAMPLES_MERGED-COVs_CANB_COMP.newick \
+                      --items-order-file $output_dir/SAMPLES-MERGED/SAMPLES_MERGED-COVs_CANB_COMP-ITEMS-ORDER.txt \
+                      --no-progress
+
+INFO "Generating network descriptions for samples based on gene functions"
+anvi-gen-network -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                 -c $output_dir/CONTIGS.db \
+                 --annotation-source Pfam \
+                 --no-progress
+
+INFO "Use anvi-experimental-organization to generate a tree from a new configuration to store it in a file (not in the database)"
+anvi-experimental-organization $files/example_clustering_configuration.ini \
+                               -i $output_dir/SAMPLES-MERGED \
+                               -c $output_dir/CONTIGS.db \
+                               -o $output_dir/SAMPLES-MERGED/EXP-ORG-FILE.txt \
+                               --skip-store-in-db \
+                               --no-progress
+
+INFO "Use anvi-experimental-organization to generate a tree from a non-default configuration, and add the resulting tree into the database as 'experimental'"
+anvi-experimental-organization $files/example_clustering_configuration.ini \
+                               -i $output_dir/SAMPLES-MERGED \
+                               -c $output_dir/CONTIGS.db \
+                               -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                               --name experimental \
+                               --no-progress
+
+INFO "Use anvi-experimental-organization to generate a tree from a non-default configuration, but overwrite linkage method and distance metric"
+anvi-experimental-organization $files/example_clustering_configuration.ini \
+                               -i $output_dir/SAMPLES-MERGED \
+                               -c $output_dir/CONTIGS.db \
+                               -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                               --name experimental \
+                               --distance canberra \
+                               --linkage complete \
+                               --no-progress
+
+INFO "Adding a 'DEFAULT' collection that describes all splits in an 'EVERYTHING' bin to the merged profile"
+anvi-script-add-default-collection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                                   --no-progress
+
+INFO "Importing external binning results for splits into the profile database as 'SPLITS_IMPORTED'"
+anvi-import-collection $files/example_files_for_external_binning_results/external_binning_of_splits.txt \
+                       -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                       -c $output_dir/CONTIGS.db \
+                       --collection-name 'SPLITS_IMPORTED' \
+                       --bins-info $files/example_files_for_external_binning_results/example_bins_info_file.txt \
+                       --no-progress
+
+INFO "Importing external binning results for splits into the profile database as 'CONTIGS_IMPORTED'"
+anvi-import-collection $files/example_files_for_external_binning_results/external_binning_of_contigs.txt \
+                       -c $output_dir/CONTIGS.db \
+                       -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                       --collection-name 'CONTIGS_IMPORTED' \
+                       --bins-info $files/example_files_for_external_binning_results/example_bins_info_file.txt \
+                       --contigs-mode \
+                       --no-progress
+
+INFO "Merging Bin_2 and Bin_3 into a new bin in the collection 'CONTIGS_IMPORTED'"
+anvi-merge-bins -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                --collection-name 'CONTIGS_IMPORTED' \
+                --bin-names-list Bin_2,Bin_3 \
+                --new-bin-name merged_bins \
+                --no-progress
+
+INFO "Exporting the 'CONTIGS_IMPORTED' collection that was just imported"
+anvi-export-collection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                       -C CONTIGS_IMPORTED \
+                       --output-file-prefix $output_dir/exported-collection \
+                       --no-progress
+
+INFO "Exporting the 'CONTIGS_IMPORTED' collection that was just imported *with* unbinned items"
+anvi-export-collection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                       -C CONTIGS_IMPORTED \
+                       --output-file-prefix $output_dir/exported-collection \
+                       --include-unbinned \
+                       --no-progress
+
+INFO "Re-importing a collection from files just exported for CONTIGS_IMPORTED collection (just to confuse you, and to see if we can import stuff we export)"
+anvi-import-collection $output_dir/exported-collection.txt \
+                       -c $output_dir/CONTIGS.db \
+                       -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                       --collection-name 'CONTIGS_RE_IMPORTED' \
+                       --bins-info $output_dir/exported-collection-info.txt \
+                       --no-progress
+
+INFO "Deleting the collection 'CONTIGS_RE_IMPORTED'"
+anvi-delete-collection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                       -C CONTIGS_RE_IMPORTED \
+                       --no-progress
+
+
+INFO "Importing 'cmdline_concoct' collection file into the merged profile"
+anvi-import-collection -c $output_dir/CONTIGS.db \
+                       -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                       -C cmdline_concoct \
+                       $files/concoct_mini_test.txt \
+                       --no-progress
+
+INFO "Rename bins in collection 'cmdline_concoct' using SCG averages"
+anvi-rename-bins -c $output_dir/CONTIGS.db \
+                 -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                 --prefix 'PSAMPLES' \
+                 --collection-to-read "cmdline_concoct" \
+                 --collection-to-write "cmdline_concoct_RENAMED" \
+                 --report-file $output_dir/renaming-report.txt \
+                 --no-progress
+SHOW_FILE $output_dir/renaming-report.txt
+
+INFO "Requesting collection info"
+anvi-estimate-genome-completeness -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                                  -c $output_dir/CONTIGS.db \
+                                  -C "cmdline_concoct_RENAMED" \
+                                  --no-progress
+
+INFO "Summarizing CONCOCT results"
+anvi-summarize -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+               -c $output_dir/CONTIGS.db \
+               -o $output_dir/SAMPLES-MERGED-SUMMARY \
+               -C 'cmdline_concoct_RENAMED' \
+               --init-gene-coverages \
+               --reformat-contig-names \
+               --no-progress
+
+INFO "Run quick summary of CONCOCT results"
+anvi-summarize -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+               -c $output_dir/CONTIGS.db \
+               -o $output_dir/SAMPLES-MERGED-SUMMARY-QUICK \
+               -C 'cmdline_concoct_RENAMED' \
+               --reformat-contig-names \
+               --quick-summary \
+               --no-progress
+
+INFO "Generate a SNV variabilty profile for PSAMPLES_Bin_00001 using a collection id"
+anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
+                             -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                             -C cmdline_concoct_RENAMED \
+                             -b PSAMPLES_Bin_00001 \
+                             -o $output_dir/variability_PSAMPLES_Bin_00001.txt \
+                             --quince-mode \
+                             --no-progress
+SHOW_FILE $output_dir/variability_PSAMPLES_Bin_00001.txt
+
+INFO "Generate a SNV profile for PSAMPLES_Bin_00001 using genes of interest (after summary)"
+anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
+                             -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                             --genes-of-interest $files/example_genes_of_interest.txt \
+                             -o $output_dir/variability_PSAMPLES_Bin_00001_ALT_GENES_of_INTEREST.txt \
+                             --engine NT \
+                             --no-progress
+SHOW_FILE $output_dir/variability_PSAMPLES_Bin_00001_ALT_GENES_of_INTEREST.txt
+
+INFO "Generate a SNV profile for PSAMPLES_Bin_00001 using split names of interest (after summary)"
+anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
+                             -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                             --splits-of-interest $output_dir/SAMPLES-MERGED-SUMMARY/bin_by_bin/PSAMPLES_Bin_00001/PSAMPLES_Bin_00001-original_split_names.txt \
+                             -o $output_dir/variability_PSAMPLES_Bin_00001_ALT_SPLITS_of_INTEREST.txt \
+                             --engine NT \
+                             --no-progress
+SHOW_FILE $output_dir/variability_PSAMPLES_Bin_00001_ALT_SPLITS_of_INTEREST.txt
+
+INFO "Generate a SCV profile for PSAMPLES_Bin_00001 using a collection id"
+anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
+                             -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                             -C cmdline_concoct_RENAMED \
+                             -b PSAMPLES_Bin_00001 \
+                             -o $output_dir/variability_CDN_PSAMPLES_Bin_00001.txt \
+                             --quince-mode \
+                             --engine CDN \
+                             --no-progress
+SHOW_FILE $output_dir/variability_CDN_PSAMPLES_Bin_00001.txt
+
+INFO "Generate a SAAV profile for PSAMPLES_Bin_00001 using a collection id"
+anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
+                             -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                             -C cmdline_concoct_RENAMED \
+                             -b PSAMPLES_Bin_00001 \
+                             -o $output_dir/variability_AA_PSAMPLES_Bin_00001.txt \
+                             --quince-mode \
+                             --engine AA \
+                             --no-progress
+
+INFO "Computing INSeq stats database"
+anvi-gen-gene-level-stats-databases -c $output_dir/CONTIGS.db \
+                                    -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                                    -C DEFAULT \
+                                    -b EVERYTHING \
+                                    --inseq-stats \
+                                    --no-progress
+
+INFO "Searching for sequence motifs in the profile database"
+anvi-search-sequence-motifs -c $output_dir/CONTIGS.db \
+                            -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                            --motifs ATCG,TAAAT \
+                            --output-file $output_dir/sequence-motifs-in-profile.txt \
+                            --no-progress
+SHOW_FILE $output_dir/sequence-motifs-in-profile.txt
+
+INFO "Generating normalized codon frequencies for all genes in the contigs database"
+anvi-get-codon-frequencies -c $output_dir/CONTIGS.db \
+                           -o $output_dir/CODON_frequencies_for_the_contigs_db.txt \
+                           --merens-codon-normalization \
+                           --no-progress
+SHOW_FILE $output_dir/CODON_frequencies_for_the_contigs_db.txt
+
+INFO "Getting back the sequence for gene call 3"
+anvi-get-sequences-for-gene-calls -c $output_dir/CONTIGS.db \
+                                  --gene-caller-ids 3 \
+                                  -o $output_dir/Sequence_for_gene_caller_id_3.fa \
+                                  --no-progress
+
+INFO "Getting back the AA sequence for gene call 3"
+anvi-get-sequences-for-gene-calls -c $output_dir/CONTIGS.db \
+                                  --gene-caller-ids 3 \
+                                  --get-aa-sequences \
+                                  -o $output_dir/AA_sequence_for_gene_caller_id_3.fa \
+                                  --no-progress
+
+INFO "Getting back the sequence for gene call 3 (export as GFF3)"
+anvi-get-sequences-for-gene-calls -c $output_dir/CONTIGS.db \
+                                  --gene-caller-ids 3 \
+                                  --export-gff3 \
+                                  -o $output_dir/Sequence_for_gene_caller_id_3.gff \
+                                  --no-progress
+
+INFO "Getting back the sequence for gene call 3 with flank-length of 50 nucleotides"
+anvi-get-sequences-for-gene-calls -c $output_dir/CONTIGS.db \
+                                  --gene-caller-ids 3 \
+                                  --flank-length 50 \
+                                  -o $output_dir/Sequence_for_gene_caller_id_3_50nt.fa \
+                                  --no-progress
+
+INFO "Export gene coverage and detection data"
+anvi-export-gene-coverage-and-detection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                                        -c $output_dir/CONTIGS.db \
+                                        -O $output_dir/MERGED \
+                                        --no-progress
+
+INFO "Export gene coverage and detection data for a single gene"
+anvi-export-gene-coverage-and-detection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                                        -c $output_dir/CONTIGS.db \
+                                        --gene-caller-id 1 \
+                                        -O $output_dir/MERGED-GENE-01 \
+                                        --no-progress
+SHOW_FILE $output_dir/MERGED-GENE-01-GENE-COVERAGES.txt
+SHOW_FILE $output_dir/MERGED-GENE-01-GENE-DETECTION.txt
+
+INFO "Show all available HMM sources"
+anvi-get-sequences-for-hmm-hits -c $output_dir/CONTIGS.db \
+                                -o /dev/null \
+                                -l \
+                                --no-progress
+
+INFO "Show available gene names in HMM sources"
+anvi-get-sequences-for-hmm-hits -c $output_dir/CONTIGS.db \
+                                -o /dev/null \
+                                -L \
+                                --no-progress
+
+INFO "Get DNA sequences for HMM hits for a bin in a collection"
+anvi-get-sequences-for-hmm-hits -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                                -c $output_dir/CONTIGS.db \
+                                -C CONCOCT \
+                                -b Bin_1 \
+                                -o $output_dir/hmm_hits_sequences_in_Bin_1.txt \
+                                --no-progress
+
+INFO "Get DNA sequences for all ABC transporter hits defined in an HMM source"
+anvi-get-sequences-for-hmm-hits -c $output_dir/CONTIGS.db \
+                                -o $output_dir/ABC_transporter_hits_in_external_hmm_profile.txt \
+                                --gene-names ABC_tran \
+                                --hmm-source external_hmm_profile \
+                                --no-progress
+
+INFO "Get AA sequences for HMM hits for a bin in a collection"
+anvi-get-sequences-for-hmm-hits -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                                -c $output_dir/CONTIGS.db \
+                                -C CONCOCT \
+                                -b Bin_1 \
+                                -o $output_dir/hmm_hits_sequences_in_Bin_1.txt \
+                                --get-aa-sequences \
+                                --no-progress
+
+INFO "Import layer additional data from file"
+anvi-import-misc-data $files/samples-information.txt \
+                      -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                      --target-data-table layers \
+                      --no-progress
+
+INFO "Import layer orders from file"
+anvi-import-misc-data $files/samples-order.txt \
+                      -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                      --target-data-table layer_orders \
+                      --no-progress
+
+INFO "Import items additional data from file"
+anvi-import-misc-data $files/items_additional_data.txt \
+                      -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                      --target-data-table items \
+                      --no-progress
+
+INFO "Show available misc data keys"
+anvi-show-misc-data -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                    --no-progress
+
+INFO "Export items additional data"
+anvi-export-misc-data -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                      --target-data-table items \
+                      -o $output_dir/exported_items_additional_data.txt \
+                      --no-progress
+
+INFO "Remove a single data key from items additional data"
+anvi-delete-misc-data -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                      --target-data-table items \
+                      --keys "test_column" \
+                      --no-progress
+
+INFO "Remove all data in items additional data"
+anvi-delete-misc-data -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                      --target-data-table items \
+                      --just-do-it \
+                      --no-progress
+
+INFO "Getting all short reads from BAM files for all samples"
+anvi-get-short-reads-from-bam $output_dir/SAMPLE-01.bam $output_dir/SAMPLE-02.bam $output_dir/SAMPLE-03.bam \
+                              -o $output_dir/all_short_reads_from_SAMPLE_bam_files.fa \
+                              --no-progress
+
+INFO "Getting all short reads from BAM files for split and gzipped"
+anvi-get-short-reads-from-bam $output_dir/SAMPLE-01.bam $output_dir/SAMPLE-02.bam $output_dir/SAMPLE-03.bam \
+                              -O $output_dir/all_short_reads_split \
+                              --split-R1-and-R2 \
+                              --gzip-output \
+                              --no-progress
+
+INFO "Getting short reads from BAM files that match to a specific region in a specific contig"
+anvi-get-short-reads-from-bam $output_dir/SAMPLE-01.bam $output_dir/SAMPLE-02.bam $output_dir/SAMPLE-03.bam \
+                              --target-contig 204_10M_MERGED.PERFECT.gz.keep_contig_878 \
+                              --target-region-start 100 \
+                              --target-region-end 101 \
+                              -o $output_dir/all_short_reads_matching_to_contig.fa \
+                              --no-progress
+
+INFO "Getting short reads from BAM files matching to contigs in a specific bin"
+anvi-get-short-reads-from-bam $output_dir/SAMPLE-01.bam $output_dir/SAMPLE-02.bam $output_dir/SAMPLE-03.bam \
+                              -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                              -c $output_dir/CONTIGS.db \
+                              -C CONCOCT \
+                              -b Bin_1 \
+                              -o $output_dir/all_short_reads_matching_to_CONCOCT_Bin_1_contigs.fa \
+                              --no-progress
+
+INFO "Get linkmers from all BAM files for some distant positions"
+anvi-report-linkmers --contigs-and-positions $files/distant_positions_for_linkmers.txt \
+                     -i $output_dir/*.bam \
+                     -o $output_dir/distant_linkmers.txt \
+                     --no-progress
+
+INFO "Get linkmers from all BAM files for some adjacent positions connected with --only-complete-links"
+anvi-report-linkmers --contigs-and-positions $files/adjacent_positions_for_linkmers.txt \
+                     -i $output_dir/*.bam \
+                     -o $output_dir/adjacent_linkmers.txt \
+                     --only-complete-links \
+                     --no-progress
+
+INFO "Oligotype linkmers report generated for adjacent nucleotide positions"
+anvi-oligotype-linkmers -i $output_dir/adjacent_linkmers.txt \
+                        -o $output_dir/ \
+                        --no-progress
+
+INFO "Running anvi'o script to correct homopolymer INDELs in --test-run mode"
+anvi-script-fix-homopolymer-indels --test-run \
+                                   --no-progress
+
+INFO "Running anvi'o script to correct homopolymer INDELs with real files"
+cp $files/single_contig_with_INDEL_errors.fa $output_dir/
+cp $files/single_contig.fa $output_dir/
+anvi-script-fix-homopolymer-indels --input $output_dir/single_contig_with_INDEL_errors.fa \
+                                   --reference $output_dir/single_contig.fa \
+                                   --output $output_dir/single_contig_INDEL_errors_FIXED.fa \
+                                   --verbose \
+                                   --no-progress
+
+INFO "Search for functions to get split names with matching genes"
+anvi-search-functions -c $output_dir/CONTIGS.db \
+                      --search transporter,kinase \
+                      -o $output_dir/transporter-hits.txt \
+                      --verbose \
+                      --no-progress
+
+INFO "Get all short reads that map to the gene ID 38 (which is a Zinc transpoprter)"
+anvi-get-short-reads-mapping-to-a-gene -c $output_dir/CONTIGS.db \
+                                       --gene-caller-id 38 \
+                                       --leeway 100 \
+                                       -i $output_dir/*bam \
+                                       -O $output_dir/reads-mapping-to \
+                                       --no-progress
+
+INFO "Get AA counts for the entire contigs database"
+anvi-get-aa-counts -c $output_dir/CONTIGS.db \
+                   -o $output_dir/aa_counts_for_contigs_db.txt \
+                   --no-progress
+SHOW_FILE $output_dir/aa_counts_for_contigs_db.txt
+
+INFO "Get AA counts for bins in collection CONCOCT stored in the merged profile"
+anvi-get-aa-counts -c $output_dir/CONTIGS.db \
+                   -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                   -C CONCOCT \
+                   -o $output_dir/aa_counts_for_bins_in_collection_CONCOCT.txt \
+                   --no-progress
+SHOW_FILE $output_dir/aa_counts_for_bins_in_collection_CONCOCT.txt
+
+INFO "Get AA counts for bin 'bin_3' in collection CONCOCT stored in the merged profile"
+anvi-get-aa-counts -c $output_dir/CONTIGS.db \
+                   -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                   -C CONCOCT \
+                   -o $output_dir/aa_counts_for_bin_3_in_collection_CONCOCT.txt \
+                   -B $files/sample_CONCOCT_bin_id.txt \
+                   --no-progress
+SHOW_FILE $output_dir/aa_counts_for_bin_3_in_collection_CONCOCT.txt
+
+INFO "Get AA counts for bin 'bin_3' in collection CONCOCT stored in the merged profile"
+anvi-get-aa-counts -c $output_dir/CONTIGS.db \
+                   --contigs-of-interest $files/sample_contig_ids.txt \
+                   -o $output_dir/aa_counts_for_two_contigs.txt \
+                   --no-progress
+SHOW_FILE $output_dir/aa_counts_for_two_contigs.txt
+
+INFO "Get AA counts for five genes"
+anvi-get-aa-counts -c $output_dir/CONTIGS.db \
+                   --gene-caller-ids $files/sample_gene_call_ids.txt \
+                   -o $output_dir/aa_counts_for_five_genes.txt \
+                   --no-progress
+SHOW_FILE $output_dir/aa_counts_for_five_genes.txt
+
+INFO "Importing a state file into the merged profile"
+anvi-import-state -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                  --state $files/example_state.json \
+                  --name default \
+                  --no-progress
+anvi-import-state -p $output_dir/SAMPLES-MERGED-WO-CLUSTERING/PROFILE.db \
+                  --state $files/example_state.json \
+                  --name default \
+                  --no-progress
+
+INFO "Exporting the state named 'default' from the merged profile"
+anvi-export-state -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                  --state default \
+                  -o $output_dir/SAMPLES-MERGED/default_state.json \
+                  --no-progress
+
+INFO "Splitting all bins in the CONCOCT collection stored in the merged profile"
+anvi-split -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+           -c $output_dir/CONTIGS.db \
+           -C CONCOCT \
+           -o $output_dir/CONCOCT_BINS_SPLIT \
+           --no-progress
+
+INFO "Splitting only Bin_1 from the merged profile"
+anvi-split -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+           -c $output_dir/CONTIGS.db \
+           -C CONCOCT \
+           -o $output_dir/CONCOCT_BINS_SPLIT_ONLY_BIN_1 \
+           --bin-id Bin_1 \
+           --no-progress
+
+INFO "Listing all collections and bins available in the merged profile"
+anvi-show-collections-and-bins -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                               --no-progress
+
+mkdir $output_dir/MCG_CLASSIFIER_OUTPUTS
+INFO "Running anvi-mcg-classifier on a single bin in a collection"
+anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                    -c $output_dir/CONTIGS.db \
+                    -O $output_dir/MCG_CLASSIFIER_OUTPUTS/MCG_Bin_1 \
+                    -C CONCOCT \
+                    -b Bin_1 \
+                    --no-progress
+
+INFO "Running anvi-mcg-classifier including only SAMPLE-01 and SAMPLE-02"
+anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                    -c $output_dir/CONTIGS.db \
+                    -O $output_dir/MCG_CLASSIFIER_OUTPUTS/MCG_INCLUDE \
+                    -C CONCOCT \
+                    -b Bin_1 \
+                    --include-samples $files/samples_to_include_for_mcg.txt \
+                    --no-progress
+
+INFO "Running anvi-mcg-classifier excluding SAMPLE-01"
+anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                    -c $output_dir/CONTIGS.db \
+                    -O $output_dir/MCG_CLASSIFIER_OUTPUTS/MCG_EXCLUDE \
+                    -C CONCOCT \
+                    -b Bin_1 \
+                    --exclude-samples $files/samples_to_exclude_for_mcg.txt \
+                    --no-progress
+
+INFO "Acquiring mock external genome data"
+cp $files/mock_data_for_pangenomics/E_faecalis*.db $output_dir/
+cp $files/mock_data_for_pangenomics/external-genomes.txt $output_dir/
+cp $files/example_description.md $output_dir/
+
+INFO "Dereplicating genomes using pyANI"
+anvi-dereplicate-genomes -o $output_dir/DEREPLICATION_FROM_SCRATCH \
+                         -e $output_dir/external-genomes.txt \
+                         --similarity 0.99 \
+                         --program pyANI \
+                         --no-progress
+SHOW_FILE $output_dir/DEREPLICATION_FROM_SCRATCH/CLUSTER_REPORT.txt
+
+INFO "Computing genome similarity"
+anvi-compute-genome-similarity -e $output_dir/external-genomes.txt \
+                               -o $output_dir/GENOME_SIMILARITY_OUTPUT \
+                               --fragment-length 250 \
+                               --min-num-fragments 1 \
+                               --program pyANI \
+                               --no-progress
+SHOW_FILE $output_dir/GENOME_SIMILARITY_OUTPUT/ANIb_percentage_identity.txt
+
+INFO "Dereplicating genomes using an existing genome similarity analysis directory"
+anvi-dereplicate-genomes --ani-dir $output_dir/GENOME_SIMILARITY_OUTPUT \
+                         -o $output_dir/DEREPLICATION_FROM_PREVIOUS_RESULTS \
+                         --similarity 0.99 \
+                         --program pyANI \
+                         --no-progress
+SHOW_FILE $output_dir/DEREPLICATION_FROM_PREVIOUS_RESULTS/CLUSTER_REPORT.txt
+
+INFO "Generating an anvi'o genomes storage"
+anvi-gen-genomes-storage -e $output_dir/external-genomes.txt -o $output_dir/TEST-GENOMES.db
+
+INFO "Running the pangenome analysis with default parameters"
+anvi-pan-genome -g $output_dir/TEST-GENOMES.db \
+                -o $output_dir/TEST/ \
+                -n TEST \
+                --use-ncbi-blast \
+                --description $output_dir/example_description.md \
+                --no-progress
+
+INFO "Testing anvi-analyze-synteny with default parameters using a pangenome for annotations"
+anvi-analyze-synteny -g $output_dir/TEST-GENOMES.db \
+                     -p $output_dir/TEST/TEST-PAN.db \
+                     --ngram-window-range 2:3 \
+                     -o $output_dir/synteny_output_no_unknowns.tsv \
+                     --no-progress
+
+INFO "Testing anvi-analyze-synteny now including unannotated genes"
+anvi-analyze-synteny -g $output_dir/TEST-GENOMES.db \
+                     -p $output_dir/TEST/TEST-PAN.db \
+                     --ngram-window-range 2:3 \
+                     -o $output_dir/synteny_output_with_unknowns.tsv \
+                     --analyze-unknown-functions \
+                     --no-progress
+
+INFO "Testing anvi-analyze-synteny now including unannotated genes"
+anvi-analyze-synteny -g $output_dir/TEST-GENOMES.db \
+                     --annotation-source COG20_FUNCTION \
+                     --ngram-window-range 2:3 \
+                     -o $output_dir/synteny_output_with_COGs.tsv \
+                     --analyze-unknown-functions \
+                     --no-progress
+
+INFO 'A dry run with an items order file for the merged profile without any clustering'
+anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                 -c $output_dir/CONTIGS.db \
+                 --items-order $files/example_items_order_file.txt \
+                 --dry-run \
+                 --no-progress
+
+INFO "A dry run in 'gene-mode' to store gene-level coverage stats in a new genes database"
+rm -rf $output_dir/SAMPLES-MERGED/GENES/*
+anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                 -c $output_dir/CONTIGS.db \
+                 -C CONCOCT \
+                 -b Bin_1 \
+                 --gene-mode \
+                 --dry-run \
+                 --no-progress
+
+INFO "A dry run to fill in anvi'o dbs"
+curdir=`pwd`
+cd $output_dir
+anvi-display-pan --dry-run --no-progress
+cd $curdir
+
+INFO "Firing up the interactive interface to display the contigs db stats"
+anvi-display-contigs-stats $output_dir/CONTIGS.db \
+                           $dry_run_controller \
+                           --no-progress
+
+INFO "Firing up the interactive interface for merged samples"
+anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                 -c $output_dir/CONTIGS.db \
+                 -A $files/additional_view_data.txt \
+                 -t $output_dir/SAMPLES-MERGED/EXP-ORG-FILE.txt \
+                 -V $files/additional_view.txt \
+                 --split-hmm-layers \
+                 --no-progress \
+                 $dry_run_controller
+
+
+INFO "Firing up the interface to display the split bin, Bin_1"
+anvi-interactive -c $output_dir/CONCOCT_BINS_SPLIT/Bin_1/CONTIGS.db \
+                 -p $output_dir/CONCOCT_BINS_SPLIT/Bin_1/PROFILE.db \
+                 --title "Split bin, Bin_1" \
+                 --no-progress \
+                 $dry_run_controller
+
+
+INFO "Firing up the interactive interface with the blank profile"
+anvi-interactive -c $output_dir/CONTIGS.db \
+                 -p $output_dir/BLANK-PROFILE/PROFILE.db \
+                 --no-progress \
+                 $dry_run_controller
+
+
+INFO "Firing up the interactive interface in 'COLLECTION' mode"
+anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                 -c $output_dir/CONTIGS.db \
+                 -C CONCOCT \
+                 --no-progress \
+                 $dry_run_controller
+
+INFO "Firing up the interactive interface to refine a bin"
+anvi-refine -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+            -c $output_dir/CONTIGS.db \
+            -C CONCOCT \
+            -b Bin_1 \
+            --no-progress \
+            $dry_run_controller
+
+
+INFO "Importing items and layers additional data into the genes database for CONCOCT::Bin_1"
+anvi-import-misc-data -p $output_dir/SAMPLES-MERGED/GENES/CONCOCT-Bin_1.db \
+                     $files/items_addtl_data_gene_mode.txt \
+                     -t items \
+                     --no-progress
+anvi-import-misc-data -p $output_dir/SAMPLES-MERGED/GENES/CONCOCT-Bin_1.db \
+                     $files/layers_addtl_data_gene_mode.txt \
+                     -t layers \
+                     --no-progress
+
+INFO "Firing up the interactive interface in 'gene' mode"
+anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                 -c $output_dir/CONTIGS.db \
+                 -C CONCOCT \
+                 -b Bin_1 \
+                 --gene-mode \
+                 --no-progress \
+                 $dry_run_controller
diff --git a/anvio/tests/run_component_tests_for_minimal_metagenomics.sh b/anvio/tests/run_component_tests_for_minimal_metagenomics.sh
new file mode 100755
index 0000000000..bb78ff677e
--- /dev/null
+++ b/anvio/tests/run_component_tests_for_minimal_metagenomics.sh
@@ -0,0 +1,83 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+INFO "Initializing raw BAM files"
+# init raw bam files.
+for f in 01 02 03
+do
+    anvi-init-bam $files/SAMPLE-$f-RAW.bam --output-file $output_dir/SAMPLE-$f.bam
+    echo
+done
+
+INFO "Generating an EMPTY contigs database"
+anvi-gen-contigs-database -f $files/contigs.fa -o $output_dir/CONTIGS.db -L 1000 --project-name "Contigs DB for anvi'o mini self-test"
+
+INFO "Populating search tables in the latest contigs database using default HMM profiles"
+anvi-run-hmms -c $output_dir/CONTIGS.db --num-threads 2
+
+INFO "Importing gene function calls using 'interproscan' parser"
+anvi-import-functions -c $output_dir/CONTIGS.db -i $files/example_interpro_output.tsv -p interproscan
+
+INFO "Populating HMM hits tables in the latest contigs database using a mock HMM collection from an external directory"
+anvi-run-hmms -c $output_dir/CONTIGS.db -H $files/external_hmm_profile
+
+INFO "Contigs DB is ready; here are the tables in it:"
+sqlite3 $output_dir/CONTIGS.db '.tables'
+
+# for each sample, run the profiling using the same split size used for the contigs database.
+# profiling generates individual directiorues uner $output_dir directory for each sample.
+for f in 01 02 03
+do
+    INFO "Profiling sample SAMPLE-$f"
+    anvi-profile -i $output_dir/SAMPLE-$f.bam \
+                 -o $output_dir/SAMPLE-$f \
+                 -c $output_dir/CONTIGS.db \
+                 --cluster \
+                 --profile-SCVs \
+                 --display-db-calls
+
+    INFO "Importing short-read-level taxonomy for SAMPLE-$f"
+    anvi-import-taxonomy-for-layers -p $output_dir/SAMPLE-$f/PROFILE.db \
+                                    -i $files/example_files_for_kraken_hll_taxonomy/SAMPLE-$f.mpa \
+                                    --parser krakenuniq
+    echo
+done
+
+INFO "Merging profiles"
+# merge samples
+anvi-merge $output_dir/SAMPLE-*/PROFILE.db -o $output_dir/SAMPLES-MERGED -c $output_dir/CONTIGS.db --description $files/example_description.md
+
+INFO "Import layer additional data from file"
+anvi-import-misc-data $files/samples-information.txt \
+                      -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                      --target-data-table layers
+
+INFO "Import layer orders from file"
+anvi-import-misc-data $files/samples-order.txt \
+                      -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                      --target-data-table layer_orders
+
+INFO "Importing a state file into the merged profile"
+anvi-import-state -p $output_dir/SAMPLES-MERGED/PROFILE.db --state $files/example_state.json --name default
+
+INFO "Importing a collection file into the merged profile"
+anvi-import-collection -c $output_dir/CONTIGS.db \
+                       -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                       -C CONCOCT \
+                       $files/concoct_mini_test.txt
+
+INFO "Listing collections available"
+anvi-show-collections-and-bins -p $output_dir/SAMPLES-MERGED/PROFILE.db
+
+INFO "Firing up the interactive interface"
+# fire up the browser to show how does the merged samples look like.
+anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
+                 -c $output_dir/CONTIGS.db \
+                 $dry_run_controller
+
+INFO "Summarizing CONCOCT results"
+anvi-summarize -p $output_dir/SAMPLES-MERGED/PROFILE.db -c $output_dir/CONTIGS.db -o $output_dir/SAMPLES-MERGED-SUMMARY -C 'CONCOCT' --init-gene-coverages
diff --git a/anvio/tests/run_component_tests_for_pangenomics.sh b/anvio/tests/run_component_tests_for_pangenomics.sh
new file mode 100755
index 0000000000..7bc1e96193
--- /dev/null
+++ b/anvio/tests/run_component_tests_for_pangenomics.sh
@@ -0,0 +1,201 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+INFO "Setting up the pan analysis directory"
+mkdir -p $output_dir/
+cp $files/mock_data_for_pangenomics/*.db                      $output_dir/
+cp $files/mock_data_for_pangenomics/external-genomes.txt      $output_dir/
+cp $files/mock_data_for_pangenomics/example-gene-clusters-collection.txt $output_dir/
+cp $files/mock_data_for_pangenomics/scg-gene-clusters-for-phylogenomics.txt $output_dir/
+cp $files/mock_data_for_pangenomics/default-state.json        $output_dir/
+cp $files/example_description.md                              $output_dir/
+cp $files/mock_data_for_pangenomics/group-information.txt     $output_dir/
+cd $output_dir/
+
+INFO "Generating an anvi'o genomes storage"
+anvi-gen-genomes-storage -e external-genomes.txt \
+                         -o TEST-GENOMES.db \
+                         --no-progress
+
+INFO "Running the pangenome anaysis with default parameters"
+anvi-pan-genome -g TEST-GENOMES.db \
+                -o TEST/ \
+                -n TEST \
+                --use-ncbi-blast \
+                --description example_description.md \
+                --no-progress
+
+INFO "Running ANI on genomes and storing results in the PAN database"
+anvi-compute-genome-similarity -e external-genomes.txt \
+                               --program pyANI \
+                               -o ANI_TEST \
+                               --log-file ANI_LOG.txt \
+                               -p TEST/TEST-PAN.db \
+                               --no-progress
+
+INFO "Running the pangenome analysis again utilizing previous search results"
+anvi-pan-genome -g TEST-GENOMES.db \
+                -o TEST/ \
+                -n ANOTHER_TEST \
+                --use-ncbi-blast \
+                --min-occurrence 2 \
+                --description example_description.md \
+                --no-progress
+
+INFO "Importing collections of gene clusters"
+anvi-import-collection -p TEST/TEST-PAN.db \
+                       -C test_collection example-gene-clusters-collection.txt \
+                       --no-progress
+
+anvi-import-collection -p TEST/TEST-PAN.db \
+                       -C collection_for_phylogenomics scg-gene-clusters-for-phylogenomics.txt \
+                       --no-progress
+
+INFO "Exporting the collection 'test_collection'"
+anvi-export-collection -p TEST/TEST-PAN.db \
+                       -C test_collection \
+                       -O exported_collection \
+                       --include-unbinned \
+                       --no-progress
+
+INFO "List available aligners for aligning sequences in gene clusters"
+anvi-get-sequences-for-gene-clusters --list-aligners
+
+INFO "Exporting aligned amino acid sequences for some gene clusters"
+anvi-get-sequences-for-gene-clusters -p TEST/TEST-PAN.db \
+                                     -g TEST-GENOMES.db \
+                                     -C test_collection \
+                                     -b GENE_CLUSTER_BIN_1_CORE \
+                                     -o aligned_gene_sequences_in_GENE_CLUSTER_BIN_1_CORE_AA.fa \
+                                     --no-progress
+
+mkdir SPLIT_GENE_CLUSTER_FILES
+INFO "Exporting aligned amino acid sequences for some gene clusters as individual files"
+anvi-get-sequences-for-gene-clusters -p TEST/TEST-PAN.db \
+                                     -g TEST-GENOMES.db \
+                                     -C test_collection \
+                                     -b GENE_CLUSTER_BIN_1_CORE \
+                                     --split-output-per-gene-cluster \
+                                     -O SPLIT_GENE_CLUSTER_FILES/MY_PROJECT \
+                                     --no-progress
+
+INFO "Exporting aligned DNA sequences for some gene clusters"
+anvi-get-sequences-for-gene-clusters -p TEST/TEST-PAN.db \
+                                     -g TEST-GENOMES.db \
+                                     -C test_collection \
+                                     -b GENE_CLUSTER_BIN_1_CORE \
+                                     -o aligned_gene_sequences_in_GENE_CLUSTER_BIN_1_CORE_DNA.fa \
+                                     --report-DNA-sequences \
+                                     --no-progress
+
+INFO "First five line from the AA output"
+head -n 5 aligned_gene_sequences_in_GENE_CLUSTER_BIN_1_CORE_AA.fa
+
+INFO "First five line from the DNA output"
+head -n 5 aligned_gene_sequences_in_GENE_CLUSTER_BIN_1_CORE_DNA.fa
+
+INFO "Importing group information as misc data for layers"
+anvi-import-misc-data -p TEST/TEST-PAN.db \
+                      -t layers \
+                      group-information.txt \
+                      --no-progress
+
+INFO "Estimating enriched functions per pan group"
+anvi-compute-functional-enrichment-in-pan -p TEST/TEST-PAN.db \
+                                          -g TEST-GENOMES.db \
+                                          --category group \
+                                          --annotation-source COG20_FUNCTION \
+                                          -o functions-enrichment.txt \
+                                          -F functional-occurence.txt \
+                                          --no-progress
+SHOW_FILE functions-enrichment.txt
+SHOW_FILE functional-occurence.txt
+
+INFO "Exporting concatenated amino acid sequences for some SCG gene clusters for phylogenomics"
+anvi-get-sequences-for-gene-clusters -p TEST/TEST-PAN.db \
+                                     -g TEST-GENOMES.db \
+                                     -C collection_for_phylogenomics \
+                                     -b SCGs \
+                                     -o SOME_VARIABLE_SCGs.fa \
+                                     --concatenate-gene-clusters \
+                                     --no-progress
+
+INFO "Summarizing the pan, using the test collection (in quick mode)"
+anvi-summarize -p TEST/TEST-PAN.db \
+               -g TEST-GENOMES.db \
+               -C test_collection \
+               -o TEST_SUMMARY_QUICK \
+               --quick \
+               --no-progress
+
+INFO "Summarizing the pan, using the test collection"
+anvi-summarize -p TEST/TEST-PAN.db \
+               -g TEST-GENOMES.db \
+               -C test_collection \
+               -o TEST_SUMMARY \
+               --no-progress
+
+INFO "Splitting bins in the pan genome into smaller, self-contained pan databases"
+anvi-split -p TEST/TEST-PAN.db \
+           -g TEST-GENOMES.db \
+           -C test_collection \
+           -o TEST_SPLIT_PAN
+
+INFO "Resulting split pans"
+ls -l TEST_SPLIT_PAN/*/*db
+
+INFO "Taking a look at the make up one of the split pans"
+anvi-db-info TEST_SPLIT_PAN/GENE_CLUSTER_BIN_1_CORE/PAN.db
+
+INFO "Listing collections available"
+anvi-show-collections-and-bins -p TEST/TEST-PAN.db \
+                               --no-progress
+
+INFO "Computing homogeneity for a single gene cluster"
+anvi-compute-gene-cluster-homogeneity -p TEST/TEST-PAN.db \
+                                      -g TEST-GENOMES.db \
+                                      --gene-cluster-id GC_00000001 \
+                                      -o gene_cluster_homogeneity_results.txt \
+                                      --no-progress
+SHOW_FILE gene_cluster_homogeneity_results.txt
+
+INFO "Computing homogeneity for a list of gene clusters"
+echo -e "GC_00000001\nGC_00000003" > gene_clusters_for_homogeneity.txt
+anvi-compute-gene-cluster-homogeneity -p TEST/TEST-PAN.db \
+                                      -g TEST-GENOMES.db \
+                                      --gene-cluster-ids gene_clusters_for_homogeneity.txt \
+                                      -o gene_cluster_homogeneity_results.txt \
+                                      --no-progress
+SHOW_FILE gene_cluster_homogeneity_results.txt
+
+INFO "Computing homogeneity for gene clusters in a bin"
+anvi-compute-gene-cluster-homogeneity -p TEST/TEST-PAN.db \
+                                      -g TEST-GENOMES.db \
+                                      -C test_collection \
+                                      -b GENE_CLUSTER_BIN_2 \
+                                      -o gene_cluster_homogeneity_results.txt \
+                                      --num-threads 2 \
+                                      --no-progress
+SHOW_FILE gene_cluster_homogeneity_results.txt
+
+INFO "Importing the default state for pretty outputs"
+anvi-import-state -p TEST/TEST-PAN.db -s default-state.json -n default
+anvi-import-state -p TEST/ANOTHER_TEST-PAN.db -s default-state.json -n default
+
+INFO "Displaying the initial pangenome analysis results"
+anvi-display-pan -p TEST/TEST-PAN.db \
+                 -g TEST-GENOMES.db \
+                 --title "A mock pangenome analysis" \
+                 --no-progress \
+                 $dry_run_controller
+
+INFO "Displaying the second pangenome analysis results"
+anvi-display-pan -p TEST/ANOTHER_TEST-PAN.db \
+                 -g TEST-GENOMES.db \
+                 --title "A mock pangenome analysis (with --min-occurrence 2)" \
+                 --no-progress \
+                 $dry_run_controller
diff --git a/anvio/tests/run_component_tests_for_trnaseq.sh b/anvio/tests/run_component_tests_for_trnaseq.sh
new file mode 100755
index 0000000000..90eea5c49a
--- /dev/null
+++ b/anvio/tests/run_component_tests_for_trnaseq.sh
@@ -0,0 +1,50 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+INFO "Writing tRNA feature parameterization file"
+anvi-trnaseq --default-feature-param-file ${output_dir}/DEFAULT-PARAMS.txt
+anvi-trnaseq --print-default-feature-params
+
+INFO "Analyzing each sample FASTA of merged tRNA reads"
+for sample in S01 S02
+do
+    for split in untreated demethylase
+    do
+        INFO "Analyzing sample \"$sample\" split \"$split\""
+        gzip -cd ${files}/TRNASEQ-SAMPLE-${sample}_${split}.fa.gz > \
+                 ${output_dir}/TRNASEQ-SAMPLE-${sample}_${split}.fa
+        anvi-trnaseq -f ${output_dir}/TRNASEQ-SAMPLE-${sample}_${split}.fa \
+                     -S ${sample}_${split} \
+                     -o ${output_dir}/${sample}_${split} \
+                     --treatment ${split} \
+                     --write-checkpoints \
+                     --skip-fasta-check
+        echo
+    done
+done
+
+INFO "Converting tRNA-seq databases to contigs and profile databases"
+anvi-merge-trnaseq ${output_dir}/S01_untreated/S01_untreated-TRNASEQ.db \
+                   ${output_dir}/S01_demethylase/S01_demethylase-TRNASEQ.db \
+                   ${output_dir}/S02_untreated/S02_untreated-TRNASEQ.db \
+                   ${output_dir}/S02_demethylase/S02_demethylase-TRNASEQ.db \
+                   -o ${output_dir}/CONVERTED \
+                   -n TEST_EXPERIMENT \
+                   --max-reported-trna-seeds 1000 \
+                   --preferred-treatment demethylase \
+                   --nonspecific-output nonspecific_db,combined_db,summed_db
+
+INFO "Assigning taxonomy to tRNA seeds"
+anvi-run-trna-taxonomy -c ${output_dir}/CONVERTED/CONTIGS.db \
+                       --all-hits-output-file ${output_dir}/CONVERTED/TAXONOMY-HITS.txt
+
+INFO "Firing up the interactive interface with the \"combined\" profile database"
+anvi-interactive -p ${output_dir}/CONVERTED/COMBINED_COVERAGE/PROFILE.db \
+                 -c ${output_dir}/CONVERTED/CONTIGS.db \
+                 ${dry_run_controller}
+
+rm blast-log.txt
diff --git a/anvio/tests/run_unit_tests_for_consensus_taxonomy.py b/anvio/tests/run_unit_tests_for_consensus_taxonomy.py
new file mode 100755
index 0000000000..64fd1240a1
--- /dev/null
+++ b/anvio/tests/run_unit_tests_for_consensus_taxonomy.py
@@ -0,0 +1,102 @@
+#!/usr/bin/env python
+# some tests for SCG taxonomy string processing
+
+import argparse
+
+import anvio.terminal as terminal
+import anvio.taxonomyops as taxonomyops
+import anvio.taxonomyops.scg as scgtaxonomyops
+
+levels_of_taxonomy = ["t_domain", "t_phylum", "t_class", "t_order", "t_family", "t_genus", "t_species"]
+
+c = scgtaxonomyops.PopulateContigsDatabaseWithSCGTaxonomy(argparse.Namespace(skip_sanity_check=True), run=terminal.Run(verbose=False))
+
+p = scgtaxonomyops.SCGTaxonomyEstimatorSingle(argparse.Namespace(skip_sanity_check=True, skip_init=True), run=terminal.Run(verbose=False))
+
+cX = lambda: c.get_consensus_hit(scg_raw_hits)
+cT = lambda level: cX()[level]
+
+def pX(scg_dict):
+    for i in scg_dict:
+        scg_dict[i]['tax_hash'] = taxonomyops.HASH(scg_dict[i])
+    return p.get_consensus_taxonomy(scg_dict)
+
+pT = lambda level: pX(scg_dict)[level]
+
+
+#########################################
+
+scg_raw_hits = [{'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
+                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
+                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'}]
+
+assert cT('t_species') == 'G x'
+assert cT('t_genus') == 'F'
+
+#########################################
+
+scg_raw_hits = [{'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
+                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
+                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'T x'},
+                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'T x'}]
+
+assert cT('t_species') == None 
+assert cT('t_genus') == 'F'
+
+#########################################
+
+scg_raw_hits = [{'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
+                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
+                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'W', 't_species': 'T x'}]
+
+assert cT('t_species') == None 
+assert cT('t_genus') == None
+assert cT('t_family') == 'E' 
+
+#########################################
+
+scg_raw_hits = [{'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
+                {'percent_identity': 99.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
+                {'percent_identity': 99.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'W', 't_species': 'T x'}]
+
+assert cT('t_species') == 'G x'
+
+#########################################
+
+scg_raw_hits = [{'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
+                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
+                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': None},
+                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': None}]
+
+assert cT('t_species') == 'G x'
+
+
+#########################################
+
+scg_dict = {1: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
+            3: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'T x'}}
+
+assert pT('t_species') == None
+assert pT('t_genus') == 'F'
+
+#########################################
+
+scg_dict = {1: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
+            2: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
+            3: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'W', 't_species': 'T x'}}
+
+assert pT('t_species') == 'G x'
+
+#########################################
+
+scg_dict = {1: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
+            2: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
+            3: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'J', 't_genus': 'X', 't_species': 'J x'},
+            4: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'J', 't_genus': 'X', 't_species': 'J x'},
+            5: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'W', 't_species': 'T x'},
+            6: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'W', 't_species': 'T x'}}
+
+assert pT('t_species') == None
+assert pT('t_genus') == None
+assert pT('t_family') == None
+assert pT('t_order') == 'D'
diff --git a/anvio/tests/run_workflow_tests_for_all_workflows.sh b/anvio/tests/run_workflow_tests_for_all_workflows.sh
new file mode 100755
index 0000000000..c02300f26e
--- /dev/null
+++ b/anvio/tests/run_workflow_tests_for_all_workflows.sh
@@ -0,0 +1,8 @@
+#!/bin/bash
+
+set -e
+
+./run_contigs_workflow_tests.sh
+./run_phylogenomics_workflow_tests.sh
+./run_pangenomics_workflow_tests.sh
+./run_metagenomics_workflow_tests.sh
diff --git a/anvio/tests/run_workflow_tests_for_contigs.sh b/anvio/tests/run_workflow_tests_for_contigs.sh
new file mode 100755
index 0000000000..fbcef91940
--- /dev/null
+++ b/anvio/tests/run_workflow_tests_for_contigs.sh
@@ -0,0 +1,33 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+INFO "Setting up the pan analysis directory"
+mkdir $output_dir/workflow_test
+cp $files/mock_data_for_pangenomics/*.fa $output_dir/workflow_test/
+cp $files/workflows/contigs/* $output_dir/workflow_test/
+cd $output_dir/workflow_test
+
+INFO "compressing sample 1"
+gzip 01.fa
+
+INFO "Creating a default config for contigs workflow"
+anvi-run-workflow -w contigs --get-default-config default-config.json
+
+INFO "Listing dependencies for contigs workflow"
+anvi-run-workflow -w contigs -c default-config.json --list-dependencies
+
+INFO "Saving a workflow graph"
+anvi-run-workflow -w contigs -c default-config.json --save-workflow-graph
+
+INFO "Running contigs workflow with a dry-run"
+anvi-run-workflow -w contigs -c default-config.json --dry-run
+
+INFO "Running contigs workflow"
+anvi-run-workflow -w contigs -c default-config.json
+
+INFO "Examine contigs databases with anvi-display-contigs-stats"
+anvi-display-contigs-stats 02_CONTIGS/*db
diff --git a/anvio/tests/run_workflow_tests_for_ecophylo.sh b/anvio/tests/run_workflow_tests_for_ecophylo.sh
new file mode 100755
index 0000000000..ea5cafc1e3
--- /dev/null
+++ b/anvio/tests/run_workflow_tests_for_ecophylo.sh
@@ -0,0 +1,87 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+INFO "Setting up the ecophylo workflow test directory"
+mkdir $output_dir/workflow_test
+cp -r $files/workflows/ecophylo/*                                       $output_dir/workflow_test/
+cp $files/data/metagenomes/human_gut/IGD_SUBSET/CONTIGS.db              $output_dir/workflow_test
+cp $files/data/genomes/bacteria/*.db                                    $output_dir/workflow_test
+cp $files/data/genomes/archaea/*.db                                     $output_dir/workflow_test
+cp $files/data/input_files/metagenomes.txt                              $output_dir/workflow_test
+cp $files/data/input_files/external-genomes.txt                         $output_dir/workflow_test
+cp $files/data/input_files/hmm_list.txt                                 $output_dir/workflow_test
+cp $files/data/input_files/hmm_list_external.txt                        $output_dir/workflow_test
+cd $output_dir/workflow_test
+
+INFO "Creating a default config for ecophylo workflow"
+anvi-run-workflow -w ecophylo --get-default-config default-config.json
+
+INFO "Generating r1 and r2 short reads for samples"
+mkdir -p output
+samples="sampleB_thetaiotamicron_Ribosomal_L16 sample_IGD_SUBSET_Ribosomal_L16 sample_P_marinus_Ribosomal_L16"
+
+for sample in $samples
+do
+    ~/github/reads-for-assembly/gen-paired-end-reads samples/$sample.ini
+done
+
+echo -e "sample\tr1\tr2" > samples.txt
+for reads in `ls output/*-R1.fastq`;
+do 
+    name=$(basename $reads -R1.fastq | sed 's|-|_|g')
+    echo -e "${name}\t${reads}\t${reads/-R1.fastq/-R2.fastq}" >> samples.txt
+done
+
+INFO "Listing dependencies for ecophylo workflow"
+anvi-run-workflow -w ecophylo -c default-config.json --list-dependencies
+
+INFO "Saving a workflow graph"
+anvi-run-workflow -w ecophylo -c default-config.json --save-workflow-graph
+
+INFO "Running ecophylo workflow with ecophylo dry-run"
+anvi-run-workflow -w ecophylo -c default-config.json -A --dry-run
+
+INFO "Running ecophylo workflow with ecophylo dry-run: only metagenomes.txt"
+anvi-run-workflow -w ecophylo -c only-metagenomes-txt-config.json -A --dry-run
+
+INFO "Running ecophylo workflow with ecophylo dry-run: only external-genomes.txt"
+anvi-run-workflow -w ecophylo -c only-external-genomes-txt-config.json -A --dry-run
+
+INFO "Running ecophylo workflow"
+anvi-run-workflow -w ecophylo -c default-config.json
+
+INFO "Running ecophylo workflow interactive"
+HMM="Ribosomal_L16"
+anvi-interactive -c ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW/03_CONTIGS/"${HMM}"-contigs.db \
+                 -p ECOPHYLO_WORKFLOW/METAGENOMICS_WORKFLOW/06_MERGED/"${HMM}"/PROFILE.db
+
+rm -rf $output_dir/workflow_test/ECOPHYLO_WORKFLOW/     
+
+INFO "Saving a workflow graph - no samples.txt"
+anvi-run-workflow -w ecophylo -c no-samples-txt-config.json --save-workflow-graph
+
+INFO "Running ecophylo workflow with ecophylo dry-run - no samples.txt"
+anvi-run-workflow -w ecophylo -c no-samples-txt-config.json -A --dry-run
+
+INFO "Running ecophylo workflow - no samples.txt"
+anvi-run-workflow -w ecophylo -c no-samples-txt-config.json
+
+INFO "Running ecophylo workflow interactive"
+HMM="Ribosomal_L16"
+anvi-interactive -t ECOPHYLO_WORKFLOW/05_TREES/"${HMM}"/"${HMM}"_renamed.nwk \
+                 -p ECOPHYLO_WORKFLOW/05_TREES/"${HMM}"/"${HMM}"-PROFILE.db \
+                 --manual
+
+rm -rf $output_dir/workflow_test/ECOPHYLO_WORKFLOW/     
+
+INFO "Running ecophylo workflow - external HMM"
+anvi-run-workflow -w ecophylo -c only-external-genomes-txt-config.json
+
+INFO "Running ecophylo workflow interactive from external HMM"
+HMM="Ribosomal_L16"
+anvi-interactive -t ECOPHYLO_WORKFLOW/05_TREES/"${HMM}"/"${HMM}"_renamed.nwk \
+                 -p ECOPHYLO_WORKFLOW/05_TREES/"${HMM}"/"${HMM}"-PROFILE.db \
+                 --manual
\ No newline at end of file
diff --git a/anvio/tests/run_workflow_tests_for_metagenomics.sh b/anvio/tests/run_workflow_tests_for_metagenomics.sh
new file mode 100755
index 0000000000..3742b90d87
--- /dev/null
+++ b/anvio/tests/run_workflow_tests_for_metagenomics.sh
@@ -0,0 +1,56 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+INFO "Setting up the metagenomics analysis directory"
+mkdir $output_dir/workflow_test
+cp -r $files/workflows/metagenomics/* $output_dir/workflow_test/
+cd $output_dir/workflow_test
+
+INFO "Creating a default config for metagenomics workflow"
+anvi-run-workflow -w metagenomics --get-default-config default-config.json
+
+INFO "List dependencies for metagenomics workflow with megahit"
+anvi-run-workflow -w metagenomics --config config-megahit.json --list-dependencies
+
+INFO "Running a dry run in references mode with no qc and no gzip"
+anvi-run-workflow -w metagenomics --config config-references-mode-no-qc-no-gzip-no-groups.json
+anvi-run-workflow -w metagenomics --config config-references-mode-no-qc-no-gzip-no-groups.json --save-workflow-graph
+
+INFO "Running a dry run for metagenomics workflow with megahit"
+anvi-run-workflow -w metagenomics --config config-megahit.json
+anvi-run-workflow -w metagenomics --config config-megahit.json --save-workflow-graph
+
+INFO "Running a dry run for metagenomics workflow with megahit with no qc"
+anvi-run-workflow -w metagenomics --config config-megahit-no-qc-all-against-all.json
+anvi-run-workflow -w metagenomics --config config-megahit-no-qc-all-against-all.json --save-workflow-graph
+
+INFO "List dependencies for metagenomics workflow in references mode"
+anvi-run-workflow -w metagenomics --config config-references-mode.json --list-dependencies
+
+INFO "Running a dry run in references mode"
+anvi-run-workflow -w metagenomics --config config-references-mode.json
+anvi-run-workflow -w metagenomics --config config-references-mode.json --save-workflow-graph
+
+INFO "List dependencies for metagenomics workflow with idba_ud"
+anvi-run-workflow -w metagenomics --config config-idba_ud.json --list-dependencies
+
+INFO "Running a dry run with idba_ud"
+anvi-run-workflow -w metagenomics --config config-idba_ud.json
+anvi-run-workflow -w metagenomics --config config-idba_ud.json --save-workflow-graph
+
+INFO "Running a dry run with idba_ud with no qc"
+anvi-run-workflow -w metagenomics --config config-idba_ud-no-qc.json --list-dependencies
+
+INFO "Running a dry run with metaspades using scaffolds"
+anvi-run-workflow -w metagenomics --config config-metaspades-no-qc-use-scaffolds.json
+anvi-run-workflow -w metagenomics --config config-metaspades-no-qc-use-scaffolds.json --save-workflow-graph
+anvi-run-workflow -w metagenomics --config config-metaspades-no-qc-use-scaffolds.json --list-dependencies
+
+INFO "Running a dry run with metaspades"
+anvi-run-workflow -w metagenomics --config config-metaspades.json
+anvi-run-workflow -w metagenomics --config config-metaspades.json --save-workflow-graph
+anvi-run-workflow -w metagenomics --config config-metaspades.json --list-dependencies
diff --git a/anvio/tests/run_workflow_tests_for_metapangenomics.sh b/anvio/tests/run_workflow_tests_for_metapangenomics.sh
new file mode 100755
index 0000000000..70370fc3fa
--- /dev/null
+++ b/anvio/tests/run_workflow_tests_for_metapangenomics.sh
@@ -0,0 +1,32 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+INFO "Setting up the pan analysis directory"
+mkdir $output_dir/workflow_test
+cp $files/mock_data_for_pangenomics/*.fa $output_dir/workflow_test/
+cp $files/mock_data_for_pangenomics/default-state.json        $output_dir/workflow_test/
+cp $files/workflows/contigs/fasta.txt $output_dir/workflow_test/
+cp $files/workflows/pangenomics/config.json $output_dir/workflow_test/
+cd $output_dir/workflow_test
+
+INFO "Creating a default config for metapangenomics workflow"
+anvi-run-workflow -w metapangenomics --get-default-config default-config.json
+exit
+INFO "Listing dependencies for pangenomics workflow"
+anvi-run-workflow -w pangenomics -c config.json --list-dependencies
+
+INFO "Saving a workflow graph"
+anvi-run-workflow -w pangenomics -c config.json --save-workflow-graph
+
+INFO "Running pangenomics workflow"
+anvi-run-workflow -w pangenomics -c config.json
+
+INFO "Importing default state for pangenome"
+anvi-import-state -p 03_PAN/TEST-PAN.db -s default-state.json -n default
+
+INFO "Vizualize pangenomic results"
+anvi-display-pan -g 03_PAN/TEST-GENOMES.db -p 03_PAN/TEST-PAN.db
diff --git a/anvio/tests/run_workflow_tests_for_pangenomics.sh b/anvio/tests/run_workflow_tests_for_pangenomics.sh
new file mode 100755
index 0000000000..56ad2a5bd6
--- /dev/null
+++ b/anvio/tests/run_workflow_tests_for_pangenomics.sh
@@ -0,0 +1,46 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+INFO "Setting up the pan analysis directory"
+mkdir $output_dir/workflow_test
+cp $files/mock_data_for_pangenomics/*.fa $output_dir/workflow_test/
+cp $files/mock_data_for_pangenomics/default-state.json        $output_dir/workflow_test/
+cp $files/workflows/pangenomics/fasta.txt $output_dir/workflow_test/
+cp $files/workflows/pangenomics/*.json $output_dir/workflow_test/
+cp -r $files/workflows/pangenomics/five* $output_dir/workflow_test/
+
+cd $output_dir/workflow_test
+
+INFO "Running pangenomics workflow with phylogeny based on hmms"
+anvi-run-workflow -w pangenomics -c pan-config-with-phylogeny-using-hmms.json
+
+INFO "Vizualize pangenomic results"
+anvi-display-pan -g 03_PAN_FIVE_PAN/FIVE_TEST-GENOMES.db -p 03_PAN_FIVE_PAN/FIVE_TEST-PAN.db
+
+INFO "Running pangenomics workflow with phylogeny based on gene clusters"
+anvi-run-workflow -w pangenomics -c pan-config-with-phylogeny.json
+
+INFO "Vizualize pangenomic results"
+anvi-display-pan -g 03_PAN_FIVE_PAN/FIVE_TEST-GENOMES.db -p 03_PAN_FIVE_PAN/FIVE_TEST-PAN.db
+
+INFO "Creating a default config for pangenomics workflow"
+anvi-run-workflow -w pangenomics --get-default-config default-config.json
+
+INFO "Listing dependencies for pangenomics workflow"
+anvi-run-workflow -w pangenomics -c config.json --list-dependencies
+
+INFO "Saving a workflow graph"
+anvi-run-workflow -w pangenomics -c config.json --save-workflow-graph
+
+INFO "Running pangenomics workflow"
+anvi-run-workflow -w pangenomics -c config.json
+
+INFO "Importing default state for pangenome"
+anvi-import-state -p 03_PAN/TEST-PAN.db -s default-state.json -n default
+
+INFO "Vizualize pangenomic results"
+anvi-display-pan -g 03_PAN/TEST-GENOMES.db -p 03_PAN/TEST-PAN.db
diff --git a/anvio/tests/run_workflow_tests_for_phylogenomics.sh b/anvio/tests/run_workflow_tests_for_phylogenomics.sh
new file mode 100755
index 0000000000..df529773ec
--- /dev/null
+++ b/anvio/tests/run_workflow_tests_for_phylogenomics.sh
@@ -0,0 +1,30 @@
+#!/bin/bash
+source 00.sh
+
+# Setup #############################
+SETUP_WITH_OUTPUT_DIR $1 $2
+#####################################
+
+INFO "Setting up the pan analysis directory"
+mkdir $output_dir/workflow_test
+cp $files/workflows/phylogenomics/* $output_dir/workflow_test/
+cp -r $files/workflows/pangenomics/five* $output_dir/workflow_test/
+cd $output_dir/workflow_test
+
+INFO "Creating a default config for contigs workflow"
+anvi-run-workflow -w phylogenomics --get-default-config default-config.json
+
+INFO "Listing dependencies for phylogenomics workflow"
+anvi-run-workflow -w phylogenomics -c config.json --list-dependencies
+
+INFO "Saving a workflow graph"
+anvi-run-workflow -w phylogenomics -c config.json --save-workflow-graph
+
+INFO "Running phylogenomics workflow with a dry-run"
+anvi-run-workflow -w phylogenomics -c config.json --dry-run
+
+INFO "Running phylogenomics workflow"
+anvi-run-workflow -w phylogenomics -c config.json
+
+INFO "Display phylogenomic tree"
+anvi-interactive -t 01_PHYLOGENOMICS/TEST-proteins_GAPS_REMOVED.fa.contree -p manual.db --manual
diff --git a/anvio/tests/sandbox/data/genomes/archaea/S_islandicus_LS215.db b/anvio/tests/sandbox/data/genomes/archaea/S_islandicus_LS215.db
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index 482007e9a0f49a16fc9da3096250c381698c2ee2..95d99afbd821104f71076922919e89614f88b485 100644
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diff --git a/anvio/tests/sandbox/data/genomes/bacteria/P_marinus_CCMP1375.db b/anvio/tests/sandbox/data/genomes/bacteria/P_marinus_CCMP1375.db
index 844f44a871e6affa014b0e7ec41da4c9ebd48c24..31863f79d83c377a4c75dba6fc3207ba4142c694 100644
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diff --git a/anvio/tests/sandbox/data/input_files/cov_det_enzymes_input.txt b/anvio/tests/sandbox/data/input_files/cov_det_enzymes_input.txt
new file mode 100644
index 0000000000..433d2b5bc9
--- /dev/null
+++ b/anvio/tests/sandbox/data/input_files/cov_det_enzymes_input.txt
@@ -0,0 +1,473 @@
+gene_id	enzyme_accession	source	coverage	detection
+aad:TC41_3038	K02886	KOfam	4.44	0.7862318840579711
+aca:ACP_1744	K02626	KOfam	4.522875816993464	0.7790055248618785
+aco:Amico_1604	K00606	KOfam	2.63953488372093	0.8063380281690141
+ade:Adeh_0623	K02669	KOfam	2.011764705882353	0.6639344262295082
+adg:Adeg_1384	K00175	KOfam	2.16	0.7529880478087649
+adg:Adeg_1688	K07491	KOfam	16.917525773195877	0.7293233082706767
+adg:Adeg_2015	K14127	KOfam	21.166666666666668	0.7876712328767124
+atm:ANT_01260	K00926	KOfam	0.7560137457044673	0.6081504702194357
+atm:ANT_25420	K01689	KOfam	0.6601466992665037	0.5540229885057472
+atm:ANT_10310	K03040	KOfam	0.8888888888888888	0.5950155763239875
+awo:Awo_c28380	K02948	KOfam	0.6826923076923077	0.5461538461538461
+bja:blr3894	K07497	KOfam	1.0398406374501992	0.5709090909090909
+bts:Btus_0231	K04078	KOfam	0.9705882352941176	0.6382978723404256
+bvi:Bcep1808_0489	K07390	KOfam	1.6233766233766234	0.6504854368932039
+cag:Cagg_3690	K09129	KOfam	0.9333333333333333	0.5838509316770186
+cah:CAETHG_3411	K03553	KOfam	1.8452380952380953	0.6767955801104972
+cap:CLDAP_20110	K01738	KOfam	3.2711267605633805	0.7322580645161291
+cap:CLDAP_20350	K09014	KOfam	0.8635346756152126	0.5520169851380042
+cau:Caur_2184	K02601	KOfam	1.0124223602484472	0.5882352941176471
+cau:Caur_0276	K07131	KOfam	0.7916666666666666	0.5901639344262295
+cex:CSE_06480	K00134	KOfam	2.1818181818181817	0.7202380952380952
+cex:CSE_06860	K00169	KOfam	2.8662952646239552	0.7249357326478149
+cex:CSE_06870	K00170	KOfam	4.4787234042553195	0.7838709677419354
+cex:CSE_06850	K00171	KOfam	2.6419753086419755	0.6822429906542056
+cex:CSE_02140	K00175	KOfam	6.412844036697248	0.8024193548387096
+cex:CSE_14630	K00262	KOfam	6.561611374407583	0.8650442477876106
+cex:CSE_09580	K00266	KOfam	10.136986301369863	0.7660944206008584
+cex:CSE_04300	K00283	KOfam	4.880794701986755	0.7193347193347194
+cex:CSE_07530	K00600	KOfam	3.0539845758354756	0.7253012048192771
+cex:CSE_05010	K00615	KOfam	1.5956873315363882	0.69140625
+cex:CSE_03240	K00759	KOfam	3.202797202797203	0.8304093567251462
+cex:CSE_12580	K00876	KOfam	4.03954802259887	0.7804878048780488
+cex:CSE_03950	K00925	KOfam	2.3412322274881516	0.6822222222222222
+cex:CSE_12200	K01409	KOfam	0.7882736156351792	0.5313432835820896
+cex:CSE_15170	K01734	KOfam	4.0859375	0.7215189873417721
+cex:CSE_08150	K01737	KOfam	0.7582417582417582	0.5470085470085471
+cex:CSE_05760	K01869	KOfam	1.4981084489281211	0.6312576312576312
+cex:CSE_03630	K01990	KOfam	4.8246445497630335	0.7322175732217573
+cex:CSE_05950	K02039	KOfam	2.1649484536082473	0.7927927927927928
+cex:CSE_05990	K02040	KOfam	1.3294117647058823	0.6537102473498233
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+dku:Desku_1232	K00626	KOfam	1.25	0.7186046511627907
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+dti:Desti_5585	K00297	KOfam	2.794425087108014	0.6913183279742765
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+mez:Mtc_0573	K00052	KOfam	4.158640226628895	0.7572559366754618
+mez:Mtc_0274	K00054	KOfam	5.022388059701493	0.7697674418604651
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+mez:Mtc_0756	K00525	KOfam	16.632683658170915	0.7467994310099573
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+mez:Mtc_1843	K01733	KOfam	1.4476439790575917	0.7205882352941176
+mez:Mtc_1258	K01756	KOfam	1.5747126436781609	0.6464208242950108
+mez:Mtc_2047	K01990	KOfam	3.761290322580645	0.7130177514792899
+mez:Mtc_2093	K01990	KOfam	2.986547085201794	0.7413127413127413
+mez:Mtc_2208	K02434	KOfam	1.7545045045045045	0.7638297872340426
+mez:Mtc_2319	K02500	KOfam	1.291497975708502	0.684981684981685
+mez:Mtc_1051	K02626	KOfam	2.4857142857142858	0.7590361445783133
+mez:Mtc_1421	K02863	KOfam	2.716577540106952	0.7230046948356808
+mez:Mtc_1533	K02948	KOfam	4.961538461538462	0.8
+mez:Mtc_1332	K02961	KOfam	5.523809523809524	0.7636363636363637
+mez:Mtc_2145	K03044	KOfam	4.676470588235294	0.8162251655629139
+mez:Mtc_1346	K03076	KOfam	1.0788381742738589	0.5928853754940712
+mez:Mtc_1664	K03531	KOfam	3.0028169014084507	0.8582677165354331
+mez:Mtc_1154	K04043	KOfam	4.05922165820643	0.7374392220421394
+mez:Mtc_0861	K04798	KOfam	2.8210526315789473	0.7768595041322314
+mez:Mtc_2286	K07021	KOfam	1.918854415274463	0.7573033707865169
+mez:Mtc_1231	K09123	KOfam	1.727034120734908	0.6584766584766585
+mez:Mtc_2079	K09731	KOfam	0.9789473684210527	0.6153846153846154
+mez:Mtc_0160	K11261	KOfam	0.7643979057591623	0.5674418604651162
+mez:Mtc_0225	K13525	KOfam	1.6452513966480447	0.75
+mez:Mtc_2375	K14475	KOfam	0.68	0.504950495049505
+mfo:Metfor_1665	K00027	KOfam	2.639896373056995	0.7024390243902439
+mfo:Metfor_2711	K00053	KOfam	3.3465346534653464	0.7537993920972644
+mfo:Metfor_0677	K00123	KOfam	1.9169184290030212	0.7055393586005831
+mfo:Metfor_0678	K00125	KOfam	3.272264631043257	0.7889688249400479
+mfo:Metfor_2909	K00169	KOfam	1.8757225433526012	0.6702702702702703
+mfo:Metfor_2322	K00174	KOfam	3.5395894428152492	0.7193460490463215
+mfo:Metfor_0685	K00200	KOfam	2.380514705882353	0.7175438596491228
+mfo:Metfor_0215	K00400	KOfam	1.405458089668616	0.6759776536312849
+mfo:Metfor_2766	K00400	KOfam	3.4475247524752475	0.8493408662900188
+mfo:Metfor_1187	K00527	KOfam	1.6642958748221905	0.6808803301237965
+mfo:Metfor_0530	K00600	KOfam	2.216494845360825	0.7111650485436893
+mfo:Metfor_0024	K00626	KOfam	4.386111111111111	0.7963917525773195
+mfo:Metfor_0291	K00762	KOfam	2.6914285714285713	0.736318407960199
+mfo:Metfor_0031	K00765	KOfam	1.6433823529411764	0.6564625850340136
+mfo:Metfor_0008	K00809	KOfam	2.950877192982456	0.8617363344051447
+mfo:Metfor_0058	K00928	KOfam	1.5568181818181819	0.7618025751072961
+mfo:Metfor_0082	K00930	KOfam	1.5037593984962405	0.6793103448275862
+mfo:Metfor_0588	K01007	KOfam	1.5054347826086956	0.6394736842105263
+mfo:Metfor_2547	K01251	KOfam	1.2630208333333333	0.6078431372549019
+mfo:Metfor_2574	K01493	KOfam	3.293233082706767	0.7267080745341615
+mfo:Metfor_0116	K01588	KOfam	4.372549019607843	0.7307692307692307
+mfo:Metfor_0009	K01591	KOfam	1.10752688172043	0.6509433962264151
+mfo:Metfor_2181	K01601	KOfam	2.007425742574257	0.7581395348837209
+mfo:Metfor_1167	K01649	KOfam	2.920668058455115	0.7920792079207921
+mfo:Metfor_1684	K01652	KOfam	4.009416195856874	0.8186714542190305
+mfo:Metfor_2891	K01696	KOfam	2.2794520547945205	0.710997442455243
+mfo:Metfor_0778	K01703	KOfam	2.623076923076923	0.8004807692307693
+mfo:Metfor_1775	K01714	KOfam	1.4882154882154883	0.796923076923077
+mfo:Metfor_2527	K01733	KOfam	0.9814323607427056	0.5660847880299252
+mfo:Metfor_2146	K01756	KOfam	3.126794258373206	0.7331838565022422
+mfo:Metfor_0185	K01866	KOfam	2.754325259515571	0.7092651757188498
+mfo:Metfor_1278	K01873	KOfam	3.1712247324613556	0.7190751445086705
+mfo:Metfor_1266	K01874	KOfam	1.9059561128526645	0.8262839879154078
+mfo:Metfor_1727	K01875	KOfam	3.8345864661654137	0.7105882352941176
+mfo:Metfor_0086	K01895	KOfam	1.938943894389439	0.7222222222222222
+mfo:Metfor_2501	K01912	KOfam	1.3227383863080684	0.7066974595842956
+mfo:Metfor_2111	K01955	KOfam	3.433430515063168	0.7317535545023697
+mfo:Metfor_1317	K01959	KOfam	1.5481798715203425	0.6334012219959266
+mfo:Metfor_0368	K01990	KOfam	1.7573529411764706	0.6486486486486487
+mfo:Metfor_2274	K01990	KOfam	1.779874213836478	0.6744186046511628
+mfo:Metfor_0092	K02003	KOfam	3.7512953367875648	0.7168949771689498
+mfo:Metfor_0508	K02004	KOfam	0.631578947368421	0.5222772277227723
+mfo:Metfor_2079	K02036	KOfam	5.612334801762114	0.8972332015810277
+mfo:Metfor_0315	K02117	KOfam	3.936056838365897	0.9028960817717206
+mfo:Metfor_0259	K02118	KOfam	8.919821826280623	0.7684210526315789
+mfo:Metfor_0260	K02120	KOfam	6.781725888324873	0.7688888888888888
+mfo:Metfor_0317	K02120	KOfam	3.7431693989071038	0.8181818181818182
+mfo:Metfor_0314	K02122	KOfam	3.9066666666666667	0.7425742574257426
+mfo:Metfor_2509	K02233	KOfam	0.5904761904761905	0.5084745762711864
+mfo:Metfor_0140	K02323	KOfam	3.091116173120729	0.7354838709677419
+mfo:Metfor_2232	K02470	KOfam	3.4565868263473054	0.7737752161383286
+mfo:Metfor_2544	K02585	KOfam	3.3645484949832776	0.7863777089783281
+mfo:Metfor_1032	K02600	KOfam	3.0	0.7088607594936709
+mfo:Metfor_0403	K02601	KOfam	1.8223684210526316	0.8465909090909091
+mfo:Metfor_2645	K02874	KOfam	1.9636363636363636	0.7121212121212122
+mfo:Metfor_2652	K02886	KOfam	1.6401869158878504	0.7436974789915967
+mfo:Metfor_2634	K02907	KOfam	1.047244094488189	0.6143790849673203
+mfo:Metfor_1031	K02908	KOfam	2.5142857142857142	0.7291666666666666
+mfo:Metfor_1162	K02921	KOfam	2.0	0.7142857142857143
+mfo:Metfor_2654	K02930	KOfam	1.2831858407079646	0.6774193548387096
+mfo:Metfor_2642	K02931	KOfam	2.387323943661972	0.7440476190476191
+mfo:Metfor_2643	K02987	KOfam	2.2930232558139534	0.7344398340248963
+mfo:Metfor_2635	K02988	KOfam	2.558659217877095	0.824390243902439
+mfo:Metfor_2833	K02992	KOfam	2.1151515151515152	0.6963350785340314
+mfo:Metfor_1029	K03041	KOfam	7.4161781946072685	0.7940841865756542
+mfo:Metfor_2868	K03049	KOfam	1.9572192513368984	0.6995305164319249
+mfo:Metfor_1113	K03051	KOfam	2.75531914893617	0.6896551724137931
+mfo:Metfor_1109	K03106	KOfam	1.9162679425837321	0.746606334841629
+mfo:Metfor_1621	K03147	KOfam	2.5286783042394014	0.6823529411764706
+mfo:Metfor_1293	K03167	KOfam	1.9435897435897436	0.7126436781609196
+mfo:Metfor_2512	K03231	KOfam	5.74937343358396	0.8776470588235294
+mfo:Metfor_2832	K03234	KOfam	5.297872340425532	0.8809849521203831
+mfo:Metfor_2709	K03238	KOfam	2.3722222222222222	0.75
+mfo:Metfor_2866	K03242	KOfam	5.554666666666667	0.7766749379652605
+mfo:Metfor_0356	K03243	KOfam	3.2791519434628977	0.9003378378378378
+mfo:Metfor_1227	K03320	KOfam	4.729946524064171	0.83
+mfo:Metfor_2721	K03325	KOfam	7.18429003021148	0.8851540616246498
+mfo:Metfor_2601	K03390	KOfam	3.668639053254438	0.7202072538860104
+mfo:Metfor_1535	K03420	KOfam	4.066666666666666	0.7564766839378239
+mfo:Metfor_0801	K03517	KOfam	1.8928571428571428	0.6764705882352942
+mfo:Metfor_0401	K03531	KOfam	2.148367952522255	0.7465564738292011
+mfo:Metfor_0294	K04076	KOfam	2.4218009478672986	0.7519025875190258
+mfo:Metfor_0752	K04483	KOfam	3.514950166112957	0.8061538461538461
+mfo:Metfor_2277	K04794	KOfam	1.8936170212765957	0.7166666666666667
+mfo:Metfor_0049	K04796	KOfam	1.469387755102041	0.6533333333333333
+mfo:Metfor_1107	K04797	KOfam	1.6666666666666667	0.6643356643356644
+mfo:Metfor_1165	K04798	KOfam	2.877551020408163	0.7583333333333333
+mfo:Metfor_1352	K04801	KOfam	1.2818791946308725	0.6366459627329193
+mfo:Metfor_0171	K06215	KOfam	10.290441176470589	0.8825503355704698
+mfo:Metfor_1987	K06868	KOfam	1.1580381471389645	0.6564885496183206
+mfo:Metfor_0468	K06883	KOfam	2.673575129533679	0.6912442396313364
+mfo:Metfor_1282	K06942	KOfam	2.909090909090909	0.7249357326478149
+mfo:Metfor_0747	K06943	KOfam	2.326219512195122	0.6797752808988764
+mfo:Metfor_0183	K06961	KOfam	2.5534591194968552	0.8121546961325967
+mfo:Metfor_2898	K07053	KOfam	1.6965174129353233	0.6533333333333333
+mfo:Metfor_0793	K07129	KOfam	1.361842105263158	0.6212121212121212
+mfo:Metfor_2075	K07220	KOfam	3.3114754098360657	0.7942583732057417
+mfo:Metfor_1513	K07332	KOfam	2.7759197324414715	0.7363344051446945
+mfo:Metfor_1626	K07463	KOfam	1.5827702702702702	0.698051948051948
+mfo:Metfor_1114	K07572	KOfam	2.459627329192547	0.8288770053475936
+mfo:Metfor_0050	K07575	KOfam	1.6546762589928057	0.6363636363636364
+mfo:Metfor_0748	K07744	KOfam	2.2238805970149254	0.684931506849315
+mfo:Metfor_2853	K09013	KOfam	3.4331797235023043	0.8065843621399177
+mfo:Metfor_2414	K09731	KOfam	2.4545454545454546	0.7232142857142857
+mfo:Metfor_2533	K10725	KOfam	2.08	0.7032085561497327
+mfo:Metfor_1620	K13525	KOfam	9.692207792207792	0.7763819095477387
+mfo:Metfor_1161	K14574	KOfam	1.6285714285714286	0.717948717948718
+mfo:Metfor_2280	K14654	KOfam	1.0343137254901962	0.5833333333333334
+mfo:Metfor_1589	K16306	KOfam	2.2899159663865545	0.6870229007633588
+mfo:Metfor_2712	K17488	KOfam	2.022801302931596	0.7522658610271903
+mfo:Metfor_0216	K17686	KOfam	1.0308880308880308	0.5894736842105263
+mfv:Mfer_0647	K02950	KOfam	13.121739130434783	0.8156028368794326
+mhi:Mhar_1955	K02979	KOfam	0.9787234042553191	0.6197183098591549
+mhu:Mhun_2132	K01711	KOfam	5.434782608695652	0.8793103448275862
+mhu:Mhun_2983	K02036	KOfam	11.700440528634362	0.7984189723320159
+mhu:Mhun_2734	K03386	KOfam	3.1088082901554404	0.7123287671232876
+mox:DAMO_1348	K01156	KOfam	0.7879282218597063	0.5274725274725275
+mox:DAMO_2049	K01156	KOfam	0.7727727727727728	0.5336585365853659
+mpa:MAP2456c	K02110	KOfam	0.7758620689655172	0.5357142857142857
+mpd:MCP_0189	K00096	KOfam	3.1293375394321767	0.7623188405797101
+mpd:MCP_0989	K00266	KOfam	4.256818181818182	0.7051282051282052
+mpd:MCP_0990	K00528	KOfam	5.683206106870229	0.7604166666666666
+mpd:MCP_1463	K00789	KOfam	5.199438202247191	0.8010471204188482
+mpd:MCP_2300	K01159	KOfam	0.7928571428571428	0.572289156626506
+mpd:MCP_0097	K01493	KOfam	1.7279411764705883	0.7345679012345679
+mpd:MCP_2747	K01641	KOfam	3.9717868338557993	0.7377521613832853
+mpd:MCP_2715	K01711	KOfam	1.4085365853658536	0.6988636363636364
+mpd:MCP_1746	K01875	KOfam	1.1662468513853905	0.5961995249406176
+mpd:MCP_1853	K01881	KOfam	3.919642857142857	0.7468354430379747
+mpd:MCP_1629	K01885	KOfam	1.0625	0.6543859649122807
+mpd:MCP_1192	K01912	KOfam	3.3398533007334965	0.8914549653579676
+mpd:MCP_0497	K01937	KOfam	1.5260115606936415	0.6330275229357798
+mpd:MCP_2597	K01945	KOfam	1.2506082725060828	0.6018306636155606
+mpd:MCP_0200	K01955	KOfam	1.776937618147448	0.6964944649446494
+mpd:MCP_2334	K02003	KOfam	0.7688442211055276	0.52
+mpd:MCP_2290	K02117	KOfam	8.669077757685352	0.7979274611398963
+mpd:MCP_0903	K02587	KOfam	1.7919463087248322	0.6518046709129511
+mpd:MCP_1226	K02946	KOfam	11.192307692307692	0.75
+mpd:MCP_0724	K03051	KOfam	1.4787234042553192	0.646551724137931
+mpd:MCP_0008	K03110	KOfam	1.325077399380805	0.6801152737752162
+mpd:MCP_0130	K03120	KOfam	8.901234567901234	0.7978723404255319
+mpd:MCP_0011	K03264	KOfam	0.9795918367346939	0.5681818181818182
+mpd:MCP_2768	K03388	KOfam	3.199052132701422	0.7450682852807283
+mpd:MCP_0253	K03420	KOfam	0.9649595687331537	0.6126582278481013
+mpd:MCP_0513	K03422	KOfam	1.644927536231884	0.6463414634146342
+mpd:MCP_0187	K03768	KOfam	0.9421487603305785	0.593103448275862
+mpd:MCP_2481	K06863	KOfam	5.068249258160237	0.821917808219178
+mpd:MCP_2482	K06863	KOfam	5.810975609756097	0.8491620111731844
+mpd:MCP_2170	K06998	KOfam	1.7481203007518797	0.6883561643835616
+mpd:MCP_2400	K07041	KOfam	1.6655737704918032	0.6588050314465409
+mpd:MCP_2483	K07137	KOfam	1.9315068493150684	0.7413793103448276
+mpd:MCP_1531	K07178	KOfam	5.227678571428571	0.734375
+mpd:MCP_1072	K07722	KOfam	2.4913793103448274	0.7285714285714285
+mpd:MCP_2477	K08289	KOfam	3.293233082706767	0.7002341920374707
+mpd:MCP_0554	K09136	KOfam	1.7047872340425532	0.681592039800995
+mpd:MCP_0106	K09141	KOfam	1.2	0.6747572815533981
+mpd:MCP_0019	K09721	KOfam	3.161290322580645	0.7045454545454546
+mpd:MCP_0001	K10725	KOfam	1.293398533007335	0.6397228637413395
+mpd:MCP_2627	K11600	KOfam	2.745614035087719	0.7322834645669292
+mpd:MCP_2819	K13525	KOfam	4.095940959409594	0.7306317044100119
+mpd:MCP_1669	K16306	KOfam	1.3333333333333333	0.7575757575757576
+mpd:MCP_1961	K16792	KOfam	1.6953125	0.6553398058252428
+mpg:Theba_0075	K03781	KOfam	5.766094420600858	0.926530612244898
+mpl:Mpal_2447	K01581	KOfam	2.236842105263158	0.8193069306930693
+mpl:Mpal_2220	K01990	KOfam	3.3241379310344827	0.7704402515723271
+mpl:Mpal_0929	K02474	KOfam	1.1564102564102565	0.7043269230769231
+mpl:Mpal_0331	K03124	KOfam	11.855263157894736	0.8233532934131736
+mpl:Mpal_0662	K06001	KOfam	2.720657276995305	0.8030973451327433
+mru:mru_0714	K03124	KOfam	6.5210084033613445	0.8446969696969697
+msl:Msil_0269	K02956	KOfam	0.7076923076923077	0.5168539325842697
+mta:Moth_0266	K01689	KOfam	4.664179104477612	0.7079439252336449
+mta:Moth_2087	K05520	KOfam	1.8698224852071006	0.6632124352331606
+mth:MTH373	K01710	KOfam	2.629032258064516	0.7604790419161677
+mtp:Mthe_1277	K06001	KOfam	6.742857142857143	0.7711111111111111
+mtp:Mthe_0247	K15900	KOfam	0.7718120805369127	0.5648148148148148
+mzh:Mzhil_1858	K04488	KOfam	2.7346938775510203	0.7661290322580645
+nde:NIDE1683	K03768	KOfam	2.2517482517482517	0.6745562130177515
+nga:Ngar_c29130	K03427	KOfam	2.96900826446281	0.771484375
+nha:Nham_4367	K01632	KOfam	1.1209362808842653	0.5863808322824716
+nmr:Nmar_0598	K03120	KOfam	21.1	0.7311827956989247
+noc:Noc_1568	K07171	KOfam	1.755813953488372	0.75
+noc:Noc_0768	K07491	KOfam	7.959183673469388	0.7142857142857143
+nwi:Nwi_0269	K03427	KOfam	1.6835699797160244	0.6666666666666666
+opr:Ocepr_1553	K01668	KOfam	1.0449438202247192	0.5966029723991507
+pca:Pcar_1534	K01738	KOfam	0.6433823529411765	0.5436241610738255
+pca:Pcar_1919	K09903	KOfam	1.5395348837209302	0.6639004149377593
+pcu:pc0209	K02950	KOfam	7.41	0.7936507936507936
+pcu:pc0431	K02952	KOfam	0.9583333333333334	0.6229508196721312
+phl:KKY_2035	K07729	KOfam	0.8979591836734694	0.5733333333333334
+ppu:PP_2229	K05560	KOfam	1.1363636363636365	0.6403508771929824
+pth:PTH_0975	K01698	KOfam	1.9634551495016612	0.6850152905198776
+pth:PTH_2867	K01886	KOfam	2.0931098696461823	0.6660746003552398
+pth:PTH_0336	K02988	KOfam	1.207142857142857	0.6445783132530121
+pth:PTH_2596	K12339	KOfam	1.6666666666666667	0.7549668874172185
+rci:RCIX2062	K00402	KOfam	2.2831858407079646	0.7817460317460317
+rci:RCIX1564	K04488	KOfam	4.686868686868687	0.752
+rmg:Rhom172_1813	K01710	KOfam	2.9452054794520546	0.7515723270440252
+sat:SYN_02589	K01955	KOfam	3.7178502879078694	0.8039399624765479
+sat:SYN_01352	K02899	KOfam	1.3220338983050848	0.611764705882353
+sat:SYN_01527	K03100	KOfam	1.0670391061452513	0.5960591133004927
+sat:SYN_02187	K03596	KOfam	2.4475524475524475	0.7123745819397993
+sat:SYN_00838	K05773	KOfam	1.9705882352941178	0.7068965517241379
+sat:SYN_01654	K07539	KOfam	1.4916201117318435	0.6596858638743456
+sba:Sulba_2061	K02919	KOfam	0.6486486486486487	0.6486486486486487
+sfu:Sfum_0366	K01251	KOfam	1.1734693877551021	0.6148325358851675
+sfu:Sfum_2687	K01938	KOfam	2.3689839572192515	0.7666098807495741
+sfu:Sfum_3619	K01951	KOfam	2.248299319727891	0.71875
+sfu:Sfum_3497	K02011	KOfam	2.1624087591240877	0.7202797202797203
+sfu:Sfum_3495	K02012	KOfam	1.7863247863247864	0.6586666666666666
+sfu:Sfum_1567	K02931	KOfam	3.696774193548387	0.7094972067039106
+ssz:SCc_585	K02871	KOfam	0.896551724137931	0.6126760563380281
+sti:Sthe_1107	K01712	KOfam	10.975332068311195	0.8144144144144144
+sti:Sthe_1292	K01923	KOfam	1.3296703296703296	0.6421404682274248
+stq:Spith_0267	K01915	KOfam	1.751121076233184	0.6708860759493671
+sud:ST398NM01_1708	K02899	KOfam	0.8904109589041096	0.5555555555555556
+sus:Acid_6481	K02003	KOfam	0.8957345971563981	0.6042553191489362
+sus:Acid_2029	K03628	KOfam	0.7597911227154047	0.5749385749385749
+sus:Acid_4640	K09690	KOfam	1.2578125	0.599290780141844
+tae:TepiRe1_0546	K01678	KOfam	1.251572327044025	0.6054054054054054
+tid:Thein_2201	K01251	KOfam	8.569230769230769	0.7942583732057417
+tjr:TherJR_0010	K06215	KOfam	3.5296296296296297	0.782312925170068
+tlt:OCC_02277	K01848	KOfam	16.375234521575987	0.8181818181818182
+tnp:Tnap_0342	K01921	KOfam	1.1620294599018004	0.7001569858712716
+toc:Toce_0144	K02952	KOfam	5.43298969072165	0.7886178861788617
+tpz:Tph_c10090	K00925	KOfam	0.9429928741092637	0.5590200445434298
+tro:trd_1300	K04077	KOfam	2.0134099616858236	0.6751824817518248
+trs:Terro_3850	K02112	KOfam	3.3700440528634363	0.7458333333333333
+tte:TTE1217	K01848	KOfam	3.4090056285178236	0.738819320214669
+tte:TTE2273	K02876	KOfam	0.6446280991735537	0.5102040816326531
+ttm:Tthe_1701	K16786	KOfam	1.012	0.5642857142857143
+ttr:Tter_0725	K02874	KOfam	4.71875	0.7131147540983607
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diff --git a/anvio/tests/sandbox/data/input_files/hmm_list.txt b/anvio/tests/sandbox/data/input_files/hmm_list.txt
new file mode 100644
index 0000000000..8e1d2f997e
--- /dev/null
+++ b/anvio/tests/sandbox/data/input_files/hmm_list.txt
@@ -0,0 +1,2 @@
+name	source	path
+Ribosomal_L16	Bacteria_71	INTERNAL
diff --git a/anvio/tests/sandbox/data/input_files/hmm_list_external.txt b/anvio/tests/sandbox/data/input_files/hmm_list_external.txt
new file mode 100644
index 0000000000..c88fbc3a67
--- /dev/null
+++ b/anvio/tests/sandbox/data/input_files/hmm_list_external.txt
@@ -0,0 +1,3 @@
+name	source	path
+Ribosomal_L16	Bacteria_71	INTERNAL
+Ribosomal_L16_external_hmm	Ribosomal_L16_external_hmm	Ribosomal_L16_external_hmm
diff --git a/anvio/tests/sandbox/data/input_files/minimal_enzymes_input.txt b/anvio/tests/sandbox/data/input_files/minimal_enzymes_input.txt
new file mode 100644
index 0000000000..1522110bc1
--- /dev/null
+++ b/anvio/tests/sandbox/data/input_files/minimal_enzymes_input.txt
@@ -0,0 +1,473 @@
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diff --git a/anvio/tests/sandbox/data/metagenomes/human_gut/IGD_SUBSET/CONTIGS.db b/anvio/tests/sandbox/data/metagenomes/human_gut/IGD_SUBSET/CONTIGS.db
index 8e179ed26f68cea1992bddc6dd871c817c361375..b9bdb638a4fa90dffa29fc7a63468bf31b613abd 100644
GIT binary patch
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diff --git a/anvio/tests/sandbox/example_matrix_with_missing_data.txt b/anvio/tests/sandbox/example_matrix_with_missing_data.txt
new file mode 100644
index 0000000000..e052238055
--- /dev/null
+++ b/anvio/tests/sandbox/example_matrix_with_missing_data.txt
@@ -0,0 +1,5 @@
+	S1	S2	S3
+INV_01	5	6	1
+INV_02	9		4
+INV_05	9	1	4
+INV_03		1	9
diff --git a/anvio/tests/sandbox/files_for_indel_testing/large/contig.fa b/anvio/tests/sandbox/files_for_indel_testing/large/contig.fa
index 05d41a662b..2e43cf0cf3 100644
--- a/anvio/tests/sandbox/files_for_indel_testing/large/contig.fa
+++ b/anvio/tests/sandbox/files_for_indel_testing/large/contig.fa
@@ -1,2 +1,2 @@
->1
+>c1
 CCCGAGCCGCGGAACCGATTAGGACCATGTACAACAATACTTATTAGTCATCTTTTAGACACAATCTCCCTGCTCAGTGGTATATGGTTTTTGCTATAATTAGCCACCCTCATAAGTTGCACTACTTCTGCGACCCAAATGCACCCTTACCACGAAGACAGGATTGTCCGATCCTATATTACGACTTTGGCAGGGGGTTCGCAAGTCCCACCCCAAACGATGCTGAAGGCTCAGGTTACACAGGCACAAGTACTATATATACGAGTTCCCGCTCTTAACCTGGATCGAATGCAGAATCATGCATCGTACCACTGTGTTCGTGTCATCTAGGACGGGCGCAAAGGATATATAATTCAATTAAGAATACCTTATATTATTGTACACCTACCGGTCACCAGCCAACAATGTGCGGATGGCGTTACGACTTACTGGGCCTGATCTCACCGCTTTAGATACCGCACACTGGGCAATACGAGGTAAAGCCAGTCACCCAGTGTCGATCAACAGCTAACGTAACGGTAAGAGGCTCACAAAATCGCACTGTCGGCGTCCCTTGGGTATTTTACGTTAGCATCAGGTGGACTAGCATGAATCTTTACTCCCAGGCGAAAACGGGTGCGTGGACAAGCGAGCAGCAAACGAAAATTCTTGGCCTGCTTGGTGTCTCGTATTTCTCTTGGAGATCGAGGAAATGTTTCATGACCAAGGGAAAGGTCGCCCTACGAAATAGATTTGCGTTACTGTCTGCATAAGGAGTCCGGTGTAGCGAAGGATGAAGGCGACCCTAGGTAGCAACCGCCGGCTTCGGCGGTAAGGTATCACTCAGGAAGCAGACACAGAAAGACACGGTCTAGCAGATCGTTTATCGGCTAGGTCAAATAGAGTGCTTTGATATCAGCATGTCTAGCTTTAGAATTCAGTTTAGTGCGCTGATCTGAGTCGAGATAAAATCACCAGTACCCAAAACCAGGCGGGCTCGCCACGTTGGCTAATCCTGGTA
diff --git a/anvio/tests/sandbox/update-contigs-and-bams-for-mini-test/00_README.md b/anvio/tests/sandbox/update-contigs-and-bams-for-mini-test/00_README.md
index 1f1ffd42c3..4ebbb4fb4c 100644
--- a/anvio/tests/sandbox/update-contigs-and-bams-for-mini-test/00_README.md
+++ b/anvio/tests/sandbox/update-contigs-and-bams-for-mini-test/00_README.md
@@ -17,7 +17,7 @@ for this to run. If you don't have reads-for-assembly, you can get it this way:
 
 Only contigs in `_orig.fa` files are going to be used for read recruitment. Which
 means, you can copy a contig into a new file that does not end with `_orig.fa`,
-create a variant of it by modifying it wiht nucleotide-level or structural changes,
+create a variant of it by modifying it with nucleotide-level or structural changes,
 and set the desired coverage of this new variant in a given sample by mentioning
 it in an `.ini` file.
 
diff --git a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/genes.hmm.gz b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/genes.hmm.gz
new file mode 100644
index 0000000000000000000000000000000000000000..8bf58db710306ab79bf6695083810adfee2aa729
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diff --git a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/genes.txt b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/genes.txt
new file mode 100644
index 0000000000..6c7ef3f4f8
--- /dev/null
+++ b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/genes.txt
@@ -0,0 +1,2 @@
+gene	accession	hmmsource
+Ribosomal_L16	PF00252.21	pfam.xfam.org
diff --git a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/kind.txt b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/kind.txt
new file mode 100644
index 0000000000..9522a6ee56
--- /dev/null
+++ b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/kind.txt
@@ -0,0 +1 @@
+Ribosomal_L16
diff --git a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/noise_cutoff_terms.txt b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/noise_cutoff_terms.txt
new file mode 100644
index 0000000000..6c525407aa
--- /dev/null
+++ b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/noise_cutoff_terms.txt
@@ -0,0 +1 @@
+--cut_ga
diff --git a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/reference.txt b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/reference.txt
new file mode 100644
index 0000000000..1ea379ddbe
--- /dev/null
+++ b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/reference.txt
@@ -0,0 +1 @@
+Anvi'o User, http://localhost
diff --git a/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/target.txt b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/target.txt
new file mode 100644
index 0000000000..d5432bea97
--- /dev/null
+++ b/anvio/tests/sandbox/workflows/ecophylo/Ribosomal_L16_external_hmm/target.txt
@@ -0,0 +1 @@
+AA:GENE
diff --git a/anvio/tests/sandbox/workflows/ecophylo/contigs/sampleB_thetaiotamicron_Ribosomal_L16.fasta b/anvio/tests/sandbox/workflows/ecophylo/contigs/sampleB_thetaiotamicron_Ribosomal_L16.fasta
new file mode 100644
index 0000000000..b968d0bb04
--- /dev/null
+++ b/anvio/tests/sandbox/workflows/ecophylo/contigs/sampleB_thetaiotamicron_Ribosomal_L16.fasta
@@ -0,0 +1,2 @@
+>sampleB_thetaiotamicron_Ribosomal_L16
+ATGTTACAACCGAAAAAGACAAAATTCAGAAGACAACAAAAAGGCCGTGCAAAAGGTAATGCCCAGAGAGGTAACCAGCTGGCTTTCGGTTCTTTTGGCATTAAGGCTTTGGAAACTAAATGGATTACAGGCCGTCAGATCGAAGCTGCTCGTATTGCAGTAACAAGATATATGCAACGTCAAGGACAGATCTGGATCCGTATATTCCCGGATAAACCAATTACTAGAAAACCTGCCGATGTGCGTATGGGTAAAGGTAAAGGTGCTCCCGAGGGATTTGTGGCTCCTGTAACTCCAGGTAGAATCATTATTGAAGCTGAAGGAGTATCTTACGAAATCGCGAAAGAAGCATTGCGCTTAGCTGCTCAAAAGCTTCCTATTACAACGAAGTTTGTCGTAAGACGTGATTATGATATTCAAAATCAAAATGCGTAA
diff --git a/anvio/tests/sandbox/workflows/ecophylo/contigs/sample_IGD_SUBSET_Ribosomal_L16.fasta b/anvio/tests/sandbox/workflows/ecophylo/contigs/sample_IGD_SUBSET_Ribosomal_L16.fasta
new file mode 100644
index 0000000000..d3a976788f
--- /dev/null
+++ b/anvio/tests/sandbox/workflows/ecophylo/contigs/sample_IGD_SUBSET_Ribosomal_L16.fasta
@@ -0,0 +1,2 @@
+>sample_IGD_SUBSET_Ribosomal_L16
+ATGTTACTACCAAAACGTGTAAAATATCGTCGTCAGCATCGTCCAAAAACAACTGGTCGTTCTAAAGGCGGTAACTACGTAACATTTGGTGAGTATGGATTACAAGCTACAACTACATCTTGGATCACATCTCGTCAAATCGAATCAGCTCGTATTGCAATGACACGTTACATGAAACGTGGCGGGAAAGTTTGGATTAAAATCTTCCCTCATACACCATATACTAAAAAACCTTTAGAAGTACGTATGGGTGCTGGTAAAGGTGCGGTTGAAGGCTGGATAGCAGTTGTTAAACCTGGTAGAATTTTATTCGAAGTAGCTGGTGTACCTGAAGAAGTTGCTCGTGAAGCATTACGTTTAGCAAGTCACAAACTTCCAGTAAAATCTAAGTTTGTAAAACGTGAAGAATTGGGTGGTGAAACAAATGAAAGCTAA
diff --git a/anvio/tests/sandbox/workflows/ecophylo/contigs/sample_P_marinus_Ribosomal_L16.fasta b/anvio/tests/sandbox/workflows/ecophylo/contigs/sample_P_marinus_Ribosomal_L16.fasta
new file mode 100644
index 0000000000..13a5702253
--- /dev/null
+++ b/anvio/tests/sandbox/workflows/ecophylo/contigs/sample_P_marinus_Ribosomal_L16.fasta
@@ -0,0 +1,2 @@
+>sample_P_marinus_Ribosomal_L16
+ATGCTTAGTCCAAAACGTACTAAATTTCGTAAGCAGCAACGCGGTCGCATGAGAGGCGTTGCTACTAGAGGCAATAAAATTGCTTTTGGTCAGTTTGCTTTACAAGCCCAAGAGTGTGGCTGGATTACATCAAGACAGATTGAAGCAAGTCGTAGGGCTATGACTCGATATGTCAAGCGTGGTGGGCAAATATGGATTCGTATTTTCCCGGACAAACCAGTCACAATGAGGCCTGCCGAAACTCGTATGGGCTCAGGAAAAGGTAATCCTGAATTTTGGGTTGCTGTTGTAAAGCCTGGCCGAATACTTTTTGAAATGGGTGGAGAAGAAATCACTGAGGAAATTGCTAAAGAAGCAATGCGTCTTGCTCAGTACAAGCTTCCAATAAAAACAAAATTCTTGGCATTAGCTGAAGGAGAGAAGCCTACTCAAGTTGGTAAGGCGCCTCCAAAGTCATCATTCTTGCCCTCAGATGAAACTGAAACTGCTGCTGCTCAGGCTGGCACTGAAGCGTCTAGTGCATCATCAGTTACCCCCTTGGAGTCTTAA
diff --git a/anvio/tests/sandbox/workflows/ecophylo/no-samples-txt-config.json b/anvio/tests/sandbox/workflows/ecophylo/no-samples-txt-config.json
index dc959d1b47..12102767d3 100644
--- a/anvio/tests/sandbox/workflows/ecophylo/no-samples-txt-config.json
+++ b/anvio/tests/sandbox/workflows/ecophylo/no-samples-txt-config.json
@@ -2,6 +2,7 @@
     "metagenomes": "metagenomes.txt",
     "external_genomes": "external-genomes.txt",
     "hmm_list": "hmm_list.txt",
+    "samples_txt": "",
     "cluster_representative_method": {
         "method": "mmseqs"
     },
@@ -20,7 +21,7 @@
     "simplify_names_from_hmm_hits": {
         "threads": 2
     },
-    "cat_sequences_to_one_fasta": {
+    "combine_sequence_data": {
         "threads": 2
     },
     "anvi_get_external_gene_calls_file": {
@@ -37,7 +38,8 @@
         "threads": 2
     },
     "align_sequences": {
-        "threads": 5
+        "threads": 5,
+        "additional_params": "-maxiters 1 -diags -sv -distance1 kbit20_3"
     },
     "trim_alignment": {
         "threads": 5,
@@ -100,7 +102,6 @@
     "anvi_import_everything": {
         "threads": 5
     },
-    "samples_txt": "",
     "output_dirs": {
         "EXTRACTED_RIBO_PROTEINS_DIR": "ECOPHYLO_WORKFLOW/01_REFERENCE_PROTEIN_DATA",
         "RIBOSOMAL_PROTEIN_FASTAS": "ECOPHYLO_WORKFLOW/02_NR_FASTAS",
diff --git a/anvio/tests/sandbox/workflows/ecophylo/only-external-genomes-txt-config.json b/anvio/tests/sandbox/workflows/ecophylo/only-external-genomes-txt-config.json
index a87fc329bc..1a2db2d95e 100644
--- a/anvio/tests/sandbox/workflows/ecophylo/only-external-genomes-txt-config.json
+++ b/anvio/tests/sandbox/workflows/ecophylo/only-external-genomes-txt-config.json
@@ -1,7 +1,8 @@
 {
     "metagenomes": "",
     "external_genomes": "external-genomes.txt",
-    "hmm_list": "hmm_list_external.txt",
+    "hmm_list": "hmm_list.txt",
+    "samples_txt": "samples.txt",
     "cluster_representative_method": {
         "method": "mmseqs"
     },
@@ -20,7 +21,7 @@
     "simplify_names_from_hmm_hits": {
         "threads": 2
     },
-    "cat_sequences_to_one_fasta": {
+    "combine_sequence_data": {
         "threads": 2
     },
     "anvi_get_external_gene_calls_file": {
@@ -37,7 +38,8 @@
         "threads": 2
     },
     "align_sequences": {
-        "threads": 5
+        "threads": 5,
+        "additional_params": "-maxiters 1 -diags -sv -distance1 kbit20_3"
     },
     "trim_alignment": {
         "threads": 5,
@@ -100,7 +102,6 @@
     "anvi_import_everything": {
         "threads": 5
     },
-    "samples_txt": "samples.txt",
     "output_dirs": {
         "EXTRACTED_RIBO_PROTEINS_DIR": "ECOPHYLO_WORKFLOW/01_REFERENCE_PROTEIN_DATA",
         "RIBOSOMAL_PROTEIN_FASTAS": "ECOPHYLO_WORKFLOW/02_NR_FASTAS",
diff --git a/anvio/tests/sandbox/workflows/ecophylo/only-metagenomes-txt-config.json b/anvio/tests/sandbox/workflows/ecophylo/only-metagenomes-txt-config.json
index 1b7bbd4895..f9ee780057 100644
--- a/anvio/tests/sandbox/workflows/ecophylo/only-metagenomes-txt-config.json
+++ b/anvio/tests/sandbox/workflows/ecophylo/only-metagenomes-txt-config.json
@@ -1,7 +1,8 @@
 {
     "metagenomes": "metagenomes.txt",
-    "external_genomes": "",
+    "external_genomes": "external-genomes.txt",
     "hmm_list": "hmm_list.txt",
+    "samples_txt": "samples.txt",
     "cluster_representative_method": {
         "method": "mmseqs"
     },
@@ -20,7 +21,7 @@
     "simplify_names_from_hmm_hits": {
         "threads": 2
     },
-    "cat_sequences_to_one_fasta": {
+    "combine_sequence_data": {
         "threads": 2
     },
     "anvi_get_external_gene_calls_file": {
@@ -37,7 +38,8 @@
         "threads": 2
     },
     "align_sequences": {
-        "threads": 5
+        "threads": 5,
+        "additional_params": "-maxiters 1 -diags -sv -distance1 kbit20_3"
     },
     "trim_alignment": {
         "threads": 5,
@@ -100,7 +102,6 @@
     "anvi_import_everything": {
         "threads": 5
     },
-    "samples_txt": "samples.txt",
     "output_dirs": {
         "EXTRACTED_RIBO_PROTEINS_DIR": "ECOPHYLO_WORKFLOW/01_REFERENCE_PROTEIN_DATA",
         "RIBOSOMAL_PROTEIN_FASTAS": "ECOPHYLO_WORKFLOW/02_NR_FASTAS",
@@ -115,4 +116,4 @@
     "max_threads": "",
     "config_version": "2",
     "workflow_name": "ecophylo"
-}
+}
\ No newline at end of file
diff --git a/anvio/tests/sandbox/workflows/ecophylo/samples/sampleB_thetaiotamicron_Ribosomal_L16.ini b/anvio/tests/sandbox/workflows/ecophylo/samples/sampleB_thetaiotamicron_Ribosomal_L16.ini
new file mode 100644
index 0000000000..cda680c192
--- /dev/null
+++ b/anvio/tests/sandbox/workflows/ecophylo/samples/sampleB_thetaiotamicron_Ribosomal_L16.ini
@@ -0,0 +1,9 @@
+[general]
+output_sample_name =  output/SAMPLE-01
+insert_size = 50
+insert_size_std = 5
+short_read_length = 100
+error_rate = 0
+
+[../contigs/sampleB_thetaiotamicron_Ribosomal_L16.fasta]
+coverage = 95
diff --git a/anvio/tests/sandbox/workflows/ecophylo/samples/sample_IGD_SUBSET_Ribosomal_L16.ini b/anvio/tests/sandbox/workflows/ecophylo/samples/sample_IGD_SUBSET_Ribosomal_L16.ini
new file mode 100644
index 0000000000..c796c2e626
--- /dev/null
+++ b/anvio/tests/sandbox/workflows/ecophylo/samples/sample_IGD_SUBSET_Ribosomal_L16.ini
@@ -0,0 +1,11 @@
+[general]
+output_sample_name =  output/sample_IGD_SUBSET_Ribosomal_L16
+insert_size = 50
+insert_size_std = 5
+short_read_length = 100
+error_rate = 0
+
+[../contigs/sample_IGD_SUBSET_Ribosomal_L16.fasta]
+coverage = 50
+
+
diff --git a/anvio/tests/sandbox/workflows/ecophylo/samples/sample_P_marinus_Ribosomal_L16.ini b/anvio/tests/sandbox/workflows/ecophylo/samples/sample_P_marinus_Ribosomal_L16.ini
new file mode 100644
index 0000000000..67efb78e83
--- /dev/null
+++ b/anvio/tests/sandbox/workflows/ecophylo/samples/sample_P_marinus_Ribosomal_L16.ini
@@ -0,0 +1,9 @@
+[general]
+output_sample_name =  output/sample_P_marinus_Ribosomal_L16
+insert_size = 50
+insert_size_std = 5
+short_read_length = 100
+error_rate = 0
+
+[../contigs/sample_P_marinus_Ribosomal_L16.fasta]
+coverage = 75
diff --git a/anvio/tests/unit/test_anvi_thread.py b/anvio/tests/unit/test_anvi_thread.py
index 60999795ee..875ca5a375 100644
--- a/anvio/tests/unit/test_anvi_thread.py
+++ b/anvio/tests/unit/test_anvi_thread.py
@@ -47,3 +47,6 @@ def test_failing_program(self):
         thread = run_script_in_thread(self.command_runner, self.failing_script)
 
         self.assertEqual(thread.target_return_value, self.failing_exit_code)
+
+if __name__ == '__main__':
+    unittest.main()
diff --git a/anvio/trnaidentifier.py b/anvio/trnaidentifier.py
index f3caac4949..0a41fd94aa 100644
--- a/anvio/trnaidentifier.py
+++ b/anvio/trnaidentifier.py
@@ -1572,21 +1572,21 @@ def profile(self, input_seq, name=''):
             # chimeras of abundant tRNA species can recruit large numbers of other sequences during
             # normalized and modified sequence formation, as chimeras are often among the longest
             # sequences, which are "favored" in these processes. In turn, chimeric normalized and
-            # modified sequences become tRNA seeds (contigs) in `anvi-convert-trnaseq-database`.
-            # Chimeric sequences containing a full-length tRNA at the 3' end -- which appear to be
-            # relatively rare -- are difficult to distinguish from pre-tRNA, as both have a long 5'
-            # extension. These chimeras do not impact `anvi-trnaseq` analysis, as bases 5' of the
-            # full-length tRNA are trimmed off. Problematic chimeric sequences containing a
-            # fragmentary tRNA at the 3' end are flagged by comparing *the number of unprofiled 5'
-            # bases* to *the maximum length of the next unprofiled feature in the incomplete feature
-            # profile*; when the former is greater than the latter, the sequence is labeled as not
-            # being predicted tRNA, as the remaining 5' bases cannot be explained as the 3' part of
-            # a feature that cannot be identified. For example, take a sequence of length 85 in
-            # which profiling ends at position 27, which happens to be the 5' end of the D loop,
-            # leaving 26 unprofiled bases. The maximum length of the next unprofiled feature, the 5'
-            # strand of the D stem, is 4 (for the sake of simplicity, this is not changed if the 3'
-            # strand of the D stem was found to only have a length of 3). Therefore, the sequence is
-            # predicted to not be tRNA.
+            # modified sequences become tRNA seeds (contigs) in `anvi-merge-trnaseq`. Chimeric
+            # sequences containing a full-length tRNA at the 3' end -- which appear to be relatively
+            # rare -- are difficult to distinguish from pre-tRNA, as both have a long 5' extension.
+            # These chimeras do not impact `anvi-trnaseq` analysis, as bases 5' of the full-length
+            # tRNA are trimmed off. Problematic chimeric sequences containing a fragmentary tRNA at
+            # the 3' end are flagged by comparing *the number of unprofiled 5' bases* to *the
+            # maximum length of the next unprofiled feature in the incomplete feature profile*; when
+            # the former is greater than the latter, the sequence is labeled as not being predicted
+            # tRNA, as the remaining 5' bases cannot be explained as the 3' part of a feature that
+            # cannot be identified. For example, take a sequence of length 85 in which profiling
+            # ends at position 27, which happens to be the 5' end of the D loop, leaving 26
+            # unprofiled bases. The maximum length of the next unprofiled feature, the 5' strand of
+            # the D stem, is 4 (for the sake of simplicity, this is not changed if the 3' strand of
+            # the D stem was found to only have a length of 3). Therefore, the sequence is predicted
+            # to not be tRNA.
             if not profile.has_complete_feature_set and profile.is_predicted_trna:
                 for feature_name in profile.feature_names:
                     try:
diff --git a/anvio/variabilityops.py b/anvio/variabilityops.py
index cde5a6dab9..c8ed367131 100644
--- a/anvio/variabilityops.py
+++ b/anvio/variabilityops.py
@@ -881,9 +881,11 @@ def get_splits_of_interest(self, splits_of_interest_path="", split_source=""):
 
         elif split_source == "bin_id":
             if self.collection_name and not self.bin_id:
+                self.progress.reset()
                 raise ConfigError('When you declare a collection name, you must also declare a bin id '
                                   '(from which the split names of interest will be acquired).')
             if self.bin_id and not self.collection_name:
+                self.progress.reset()
                 raise ConfigError("You declared a bin id but anvi'o doesn't know which collection "
                                   "it comes from. Please provide a collection name.")
             splits_of_interest = ccollections.GetSplitNamesInBins(self.args).get_split_names_only()
@@ -893,6 +895,7 @@ def get_splits_of_interest(self, splits_of_interest_path="", split_source=""):
             splits_of_interest = set([c.strip().replace('\r', '') for c in open(splits_of_interest_path).readlines()])
 
         else:
+            self.progress.reset()
             raise ConfigError("Invalid split source '%s'. Expected 'split_names', 'bin_id', or "
                               "'gene_caller_ids'." % split_source)
 
diff --git a/anvio/workflows/ecophylo/scripts/rename_external_gene_calls_file.py b/anvio/workflows/ecophylo/scripts/rename_external_gene_calls_file.py
new file mode 100644
index 0000000000..5a38322e05
--- /dev/null
+++ b/anvio/workflows/ecophylo/scripts/rename_external_gene_calls_file.py
@@ -0,0 +1,38 @@
+import pandas as pd
+
+# This script will replace the external-gene-calls names with the simplified names from anvi-script-reformat-fasta
+# sample-HMM-number
+
+# Import tables
+#--------------
+external_gene_calls = pd.read_csv(snakemake.input.external_gene_calls, \
+                                  delim_whitespace=True, \
+                                  index_col=False)
+
+reformat_report = pd.read_csv(snakemake.input.reformat_file, \
+                              sep="\t", \
+                              index_col=False, \
+                              names=["new_header", "header"])
+
+# Parse input files
+#-----------------
+# Parse reformat_report to get gene-callers-ids
+reformat_report["gene_callers_id"] = reformat_report['header'].str.split("gene_callers_id:|\|start:", expand=True)[1].astype(str)
+
+# Parse external-gene-calls contig column to get gene-callers-ids
+external_gene_calls[['name', 'contig_number', 'gene_callers_id']] = external_gene_calls['contig'].str.rsplit('_',2, expand=True)
+
+# Join external-gene-calls with reformat-report on gene-callers-id
+#-----------------
+external_gene_calls = external_gene_calls.merge(reformat_report, on="gene_callers_id", how="inner")
+
+# Replace contig name from anvi-export-gene-calls with the simplified, new header from anvi-script-reformat-fasta
+external_gene_calls = external_gene_calls[["gene_callers_id", "new_header", "start", "stop", "direction", "partial", "call_type", "source", "version", "aa_sequence"]]
+external_gene_calls = external_gene_calls.rename(columns={'new_header': 'contig'})
+
+# Write file
+#-----------
+external_gene_calls.to_csv(snakemake.output.external_gene_calls_renamed, \
+                           sep="\t", \
+                           index=False, \
+                           header=True)
diff --git a/anvio/workflows/ecophylo/scripts/subset_external_gene_calls_file.py b/anvio/workflows/ecophylo/scripts/subset_external_gene_calls_file.py
new file mode 100644
index 0000000000..4df4d1c27f
--- /dev/null
+++ b/anvio/workflows/ecophylo/scripts/subset_external_gene_calls_file.py
@@ -0,0 +1,30 @@
+import pandas as pd
+
+# This script reformats the names from the external_gene_calls.txt file (which comes from anvi-get-sequences-for-gene-calls) with 
+# the names of sequences from anvi-estimate-scg-taxonomy
+
+# Import tables
+#--------------
+external_gene_calls_all = pd.read_csv(snakemake.input.external_gene_calls_all, \
+                                      delim_whitespace=True, \
+                                      index_col=False)
+
+headers = pd.read_csv(snakemake.input.headers, \
+                      sep="\t", \
+                      index_col=False,
+                      names=["contig"])
+
+# Make new columns
+#-----------------
+external_gene_calls_subset = external_gene_calls_all.merge(headers, on="contig", how="inner")
+
+# Make new gene-callers-ids starting from 1:x
+#--------------------------------------------
+external_gene_calls_subset['gene_callers_id'] = external_gene_calls_subset.index 
+
+# Write file
+#-------------
+external_gene_calls_subset.to_csv(snakemake.output.external_gene_calls_subset, \
+                           sep="\t", \
+                           index=False, \
+                           header=True)
\ No newline at end of file
diff --git a/anvio/workflows/metagenomics/__init__.py b/anvio/workflows/metagenomics/__init__.py
index bd445f5475..1a417230c0 100644
--- a/anvio/workflows/metagenomics/__init__.py
+++ b/anvio/workflows/metagenomics/__init__.py
@@ -188,6 +188,9 @@ def init(self):
         self.fasta_txt_file = self.get_param_value_from_config('fasta_txt')
         self.profile_databases = {}
 
+        if len(self.samples_information.index) < 2 and self.references_mode:
+            raise ConfigError("The metagenomics workflow needs to have at least 2 metagenomes in a samples.txt to be in reference mode.")
+
         self.references_for_removal_txt = self.get_param_value_from_config(['remove_short_reads_based_on_references',\
                                                                             'references_for_removal_txt'])
         if self.references_for_removal_txt:
diff --git a/anvio/workflows/trnaseq/Snakefile b/anvio/workflows/trnaseq/Snakefile
index e17ee3bd9e..17d0a13b41 100644
--- a/anvio/workflows/trnaseq/Snakefile
+++ b/anvio/workflows/trnaseq/Snakefile
@@ -12,8 +12,8 @@ from anvio.workflows.trnaseq import TRNASeqWorkflow
 from anvio.errors import ConfigError
 
 
-__author__ = "Samuel Miller"
-__copyright__ = "Copyright 2017, The anvio Project"
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
@@ -229,43 +229,57 @@ rule anvi_trnaseq:
             os.remove(decompressed_fasta)
 
 
-rule anvi_convert_trnaseq_database:
+rule anvi_merge_trnaseq:
     version: 1.0
-    log: os.path.join(dirs_dict['LOGS_DIR'], "anvi_convert_trnaseq_database.log")
+    log: os.path.join(dirs_dict['LOGS_DIR'], "anvi_merge_trnaseq.log")
     input: expand(os.path.join(os.path.join(dirs_dict['IDENT_DIR'], "{sample_name}"), "IDENT.done"), sample_name=M.sample_names)
     output: touch(os.path.join(dirs_dict['CONVERT_DIR'], "CONVERT.done"))
-    threads: M.T('anvi_convert_trnaseq_database')
+    threads: M.T('anvi_merge_trnaseq')
     params:
-        trnaseq_db_paths = expand(os.path.join(os.path.join(dirs_dict['IDENT_DIR'], "{sample_name}"), "{sample_name}-TRNASEQ.db"), sample_name=M.sample_names),
-        project_name = M.get_rule_param('anvi_convert_trnaseq_database', '--project-name'),
-        output_dir = os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_convert_trnaseq_database', '--project-name'])),
-        max_reported_trna_seeds = M.get_rule_param('anvi_convert_trnaseq_database', '--max-reported-trna-seeds'),
-        overwrite_output_destinations = M.get_rule_param('anvi_convert_trnaseq_database', '--overwrite-output-destinations'),
-        description = M.get_rule_param('anvi_convert_trnaseq_database', '--description'),
-        feature_threshold = M.get_rule_param('anvi_convert_trnaseq_database', '--feature-threshold'),
-        preferred_treatment = M.get_rule_param('anvi_convert_trnaseq_database', '--preferred-treatment'),
-        nonspecific_output = M.get_rule_param('anvi_convert_trnaseq_database', '--nonspecific-output'),
-        min_variation = M.get_rule_param('anvi_convert_trnaseq_database', '--min-variation'),
-        min_third_fourth_nt = M.get_rule_param('anvi_convert_trnaseq_database', '--min-third-fourth-nt'),
-        min_indel_fraction = M.get_rule_param('anvi_convert_trnaseq_database', '--min-indel-fraction'),
-        distance = M.get_rule_param('anvi_convert_trnaseq_database', '--distance'),
-        linkage = M.get_rule_param('anvi_convert_trnaseq_database', '--linkage')
-    shell: "anvi-convert-trnaseq-database {params.trnaseq_db_paths} --output-dir {params.output_dir} {params.project_name} {params.max_reported_trna_seeds} {params.overwrite_output_destinations} {params.description} {params.feature_threshold} {params.preferred_treatment} {params.nonspecific_output} {params.min_variation} {params.min_third_fourth_nt} {params.min_indel_fraction} {params.distance} {params.linkage} -T {threads} >> {log} 2>&1"
+        trnaseq_dbs = expand(os.path.join(os.path.join(dirs_dict['IDENT_DIR'], "{sample_name}"), "{sample_name}-TRNASEQ.db"), sample_name=M.sample_names),
+        project_name = M.get_rule_param('anvi_merge_trnaseq', '--project-name'),
+        output_dir = os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])),
+        max_reported_trna_seeds = M.get_rule_param('anvi_merge_trnaseq', '--max-reported-trna-seeds'),
+        overwrite_output_destinations = M.get_rule_param('anvi_merge_trnaseq', '--overwrite-output-destinations'),
+        description = M.get_rule_param('anvi_merge_trnaseq', '--description'),
+        feature_threshold = M.get_rule_param('anvi_merge_trnaseq', '--feature-threshold'),
+        preferred_treatment = M.get_rule_param('anvi_merge_trnaseq', '--preferred-treatment'),
+        nonspecific_output = M.get_rule_param('anvi_merge_trnaseq', '--nonspecific-output'),
+        min_variation = M.get_rule_param('anvi_merge_trnaseq', '--min-variation'),
+        min_third_fourth_nt = M.get_rule_param('anvi_merge_trnaseq', '--min-third-fourth-nt'),
+        min_indel_fraction = M.get_rule_param('anvi_merge_trnaseq', '--min-indel-fraction'),
+        distance = M.get_rule_param('anvi_merge_trnaseq', '--distance'),
+        linkage = M.get_rule_param('anvi_merge_trnaseq', '--linkage')
+    shell: "anvi-merge-trnaseq {params.trnaseq_dbs} --output-dir {params.output_dir} {params.project_name} {params.max_reported_trna_seeds} {params.overwrite_output_destinations} {params.description} {params.feature_threshold} {params.preferred_treatment} {params.nonspecific_output} {params.min_variation} {params.min_third_fourth_nt} {params.min_indel_fraction} {params.distance} {params.linkage} -T {threads} >> {log} 2>&1"
 
 
 rule anvi_run_trna_taxonomy:
     version: 1.0
     log: os.path.join(dirs_dict['LOGS_DIR'], "anvi_run_trna_taxonomy.log")
-    input: rules.anvi_convert_trnaseq_database.output
+    input: rules.anvi_merge_trnaseq.output
     output: touch(os.path.join(dirs_dict['CONVERT_DIR'], "TAXONOMY.done"))
     threads: M.T('anvi_run_trna_taxonomy')
     params:
-        contigs_db_path = os.path.join(os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_convert_trnaseq_database', '--project-name'])), 'CONTIGS.db'),
+        contigs_db = os.path.join(os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])), 'CONTIGS.db'),
         min_percent_identity = M.get_rule_param('anvi_run_trna_taxonomy', '--min-percent-identity'),
         max_num_target_sequences = M.get_rule_param('anvi_run_trna_taxonomy', '--max-num-target-sequences'),
         write_buffer_size = M.get_rule_param('anvi_run_trna_taxonomy', '--write-buffer-size'),
-        all_hits_output_file = os.path.join(os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_convert_trnaseq_database', '--project-name'])), 'TAXONOMY-HITS.txt')
-    shell: "anvi-run-trna-taxonomy -c {params.contigs_db_path} {params.min_percent_identity} {params.max_num_target_sequences} {params.write_buffer_size} --all-hits-output-file {params.all_hits_output_file} -T {threads} >> {log} 2>&1"
+        all_hits_output_file = os.path.join(os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])), 'TAXONOMY-HITS.txt')
+    shell: "anvi-run-trna-taxonomy -c {params.contigs_db} {params.min_percent_identity} {params.max_num_target_sequences} {params.write_buffer_size} --all-hits-output-file {params.all_hits_output_file} -T {threads} >> {log} 2>&1"
+
+
+rule anvi_tabulate_trnaseq:
+    version: 1.0
+    log: os.path.join(dirs_dict['LOGS_DIR'], "anvi_tabulate_trnaseq.log")
+    input: rules.anvi_run_trna_taxonomy.output
+    output: touch(os.path.join(dirs_dict['CONVERT_DIR'], "TABULATE.done"))
+    params:
+        contigs_db = os.path.join(os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])), 'CONTIGS.db'),
+        specific_profile_db = os.path.join(os.path.join(os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])), 'SPECIFIC_COVERAGE'), 'PROFILE.db'),
+        nonspecific_profile_db = os.path.join(os.path.join(os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])), 'NONSPECIFIC_COVERAGE'), 'PROFILE.db'),
+        output_dir = os.path.join(dirs_dict['CONVERT_DIR'], M.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])),
+        overwrite_output_destinations = M.get_rule_param('anvi_tabulate_trnaseq', '--overwrite-output-destinations')
+    shell: "anvi-tabulate-trnaseq -c {params.contigs_db} -s {params.specific_profile_db} -n {params.nonspecific_profile_db} --output-dir {params.output_dir} {params.overwrite_output_destinations} >> {log} 2>&1"
 
 
 if 'anvio/workflows/trnaseq' in str(workflow.included[0].abspath()):
diff --git a/anvio/workflows/trnaseq/__init__.py b/anvio/workflows/trnaseq/__init__.py
index b069387fe9..df64afce41 100644
--- a/anvio/workflows/trnaseq/__init__.py
+++ b/anvio/workflows/trnaseq/__init__.py
@@ -19,7 +19,7 @@
 
 
 __author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2020, the Meren Lab (http://merenlab.org/)"
+__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
@@ -44,8 +44,9 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
             'iu_merge_pairs',
             'anvi_reformat_fasta',
             'anvi_trnaseq',
-            'anvi_convert_trnaseq_database',
-            'anvi_run_trna_taxonomy'
+            'anvi_merge_trnaseq',
+            'anvi_run_trna_taxonomy',
+            'anvi_tabulate_trnaseq'
         ])
 
         # "General" section of the workflow config file.
@@ -86,7 +87,7 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
             '--alignment-target-chunk-size',
             '--profiling-chunk-size'
         ]
-        rule_acceptable_params_dict['anvi_convert_trnaseq_database'] = [
+        rule_acceptable_params_dict['anvi_merge_trnaseq'] = [
             'run',
             '--project-name',
             '--max-reported-trna-seeds',
@@ -109,6 +110,10 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
             '--num-parallel-processes',
             '--write-buffer-size'
         ]
+        rule_acceptable_params_dict['anvi_tabulate_trnaseq'] = [
+            'run',
+            '--overwrite-output-destinations'
+        ]
         self.rule_acceptable_params_dict.update(rule_acceptable_params_dict)
 
         # Default values for accessible parameters: all defaults are written to the config file so
@@ -157,7 +162,7 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
                 '--alignment-target-chunk-size': anvio.D['alignment-target-chunk-size'][1]['default'],
                 'threads': 1
             },
-            'anvi_convert_trnaseq_database': {
+            'anvi_merge_trnaseq': {
                 'run': True,
                 '--project-name': "",
                 '--max-reported-trna-seeds': anvio.D['max-reported-trna-seeds'][1]['default'],
@@ -182,6 +187,11 @@ def __init__(self, args=None, run=terminal.Run(), progress=terminal.Progress()):
                 '--write-buffer-size': anvio.D['write-buffer-size'][1]['default'],
                 'threads': 1
             },
+            'anvi_tabulate_trnaseq': {
+                'run': True,
+                '--overwrite-output-destinations': anvio.D['overwrite-output-destinations'][1]['default'],
+                'threads': 1
+            },
             'output_dirs': {}, # This ensures that output_dirs comes before max_threads in the file
             'max_threads': 1
         })
@@ -197,12 +207,13 @@ def init(self):
         super().init()
 
         self.run_iu_merge_pairs = self.get_param_value_from_config(['iu_merge_pairs', 'run'])
-        self.gzip_iu_merge_pairs_output = self.get_param_value_from_config(['iu_merge_pairs', '--gzip-output'])
+        self.gzip_iu_merge_pairs_output = self.get_param_value_from_config(['iu_merge_pairs', '--gzip-output']) if self.run_iu_merge_pairs else False
         self.run_anvi_reformat_fasta = self.get_param_value_from_config(['anvi_reformat_fasta', 'run'])
-        self.gzip_anvi_reformat_output = self.get_param_value_from_config(['anvi_reformat_fasta', '--gzip-output'])
+        self.gzip_anvi_reformat_output = self.get_param_value_from_config(['anvi_reformat_fasta', '--gzip-output']) if self.run_anvi_reformat_fasta else False
         self.run_anvi_trnaseq = self.get_param_value_from_config(['anvi_trnaseq', 'run'])
-        self.run_anvi_convert_trnaseq_database = self.get_param_value_from_config(['anvi_convert_trnaseq_database', 'run'])
+        self.run_anvi_merge_trnaseq = self.get_param_value_from_config(['anvi_merge_trnaseq', 'run'])
         self.run_anvi_run_trna_taxonomy = self.get_param_value_from_config(['anvi_run_trna_taxonomy', 'run'])
+        self.run_anvi_tabulate_trnaseq = self.get_param_value_from_config(['anvi_tabulate_trnaseq', 'run'])
 
         # Load table of sample info from samples_txt.
         self.samples_txt_file = self.get_param_value_from_config(['samples_txt'])
@@ -216,12 +227,9 @@ def init(self):
         self.check_samples_txt()
 
         self.sample_names = self.sample_info['sample'].tolist()
-        if 'treatment' in self.sample_info['treatment']:
-            # The treatment is specified for each sample in samples_txt.
-            self.treatments = self.sample_info['treatment'].tolist()
-        else:
+        if 'treatment' not in self.sample_info:
             # The treatment is the same for each sample and is set in the config file.
-            self.treatments = [self.get_param_value_from_config(['anvi_trnaseq', 'treatment'])] * len(self.sample_names)
+            self.sample_info['treatment'] = [self.get_param_value_from_config(['anvi_trnaseq', '--treatment'])] * len(self.sample_names)
         if self.run_iu_merge_pairs:
             self.treatments = self.sample_info['treatment']
             self.r1_paths = self.sample_info['r1'].tolist()
@@ -239,6 +247,13 @@ def init(self):
 
         self.target_files = self.get_target_files()
 
+        # The `anvi-run-workflow --cluster` option, which submits each rule as a separate job,
+        # requires that the rule's log directory exist before running the rule. This workflow
+        # differs from others by writing log files for each sample to log directories for each
+        # sample.
+        for sample_name in self.sample_names:
+            filesnpaths.gen_output_directory(os.path.join(self.dirs_dict['LOGS_DIR'], sample_name))
+
 
     def check_samples_txt(self):
         """Check the format and content of the file of sample information provided by the user."""
@@ -371,10 +386,10 @@ def check_input_paths(self):
 
     def check_project_name(self):
         """Check the name of the tRNA-seq project."""
-        if self.run_anvi_convert_trnaseq_database:
-            project_name = self.get_param_value_from_config(['anvi_convert_trnaseq_database', '--project-name'])
+        if self.run_anvi_merge_trnaseq:
+            project_name = self.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])
             if not project_name:
-                raise ConfigError("Since you are running anvi-convert-trnaseq-database, "
+                raise ConfigError("Since you are running anvi-merge-trnaseq, "
                                   "please provide a project name for the sample(s) in the config file.")
             try:
                 u.check_sample_id(project_name)
@@ -464,13 +479,16 @@ def get_target_files(self):
                 # were used as targets, they would be deleted upon workflow failure.
                 target_files.append(os.path.join(out_dir, "IDENT.done"))
 
-        if self.run_anvi_convert_trnaseq_database:
-            project_name = self.get_param_value_from_config(['anvi_convert_trnaseq_database', '--project-name'])
+        if self.run_anvi_merge_trnaseq:
+            project_name = self.get_param_value_from_config(['anvi_merge_trnaseq', '--project-name'])
             target_files.append(os.path.join(self.dirs_dict['CONVERT_DIR'], "CONVERT.done"))
 
         if self.run_anvi_run_trna_taxonomy:
             target_files.append(os.path.join(self.dirs_dict['CONVERT_DIR'], "TAXONOMY.done"))
 
+        if self.run_anvi_tabulate_trnaseq:
+            target_files.append(os.path.join(self.dirs_dict['CONVERT_DIR'], "TABULATE.done"))
+
         return target_files
 
 
diff --git a/bin/anvi-compute-metabolic-enrichment b/bin/anvi-compute-metabolic-enrichment
index 3a0768ddb1..21343e41ca 100755
--- a/bin/anvi-compute-metabolic-enrichment
+++ b/bin/anvi-compute-metabolic-enrichment
@@ -20,7 +20,7 @@ __authors__ = ['ivagljiva', 'adw96']
 __resources__ = [("A description of the enrichment script run by this program can be found in Shaiber et al 2020", "https://genomebiology.biomedcentral.com/articles/10.1186/s13059-020-02195-w"),
                   ("An example of pangenome functional enrichment in the context of the Prochlorococcus metapangenome from Delmont and Eren 2018 is included in the pangenomics tutorial", "http://merenlab.org/2016/11/08/pangenomics-v2/")]
 __tags__ = ["metabolism"]
-__requires__ = ['kegg-metabolism', 'groups-txt', 'external-genomes', 'internal-genomes', 'functions']
+__requires__ = ['kegg-metabolism', 'user-metabolism', 'groups-txt', 'external-genomes', 'internal-genomes', 'functions']
 __provides__ = ['functional-enrichment-txt']
 __description__ = ("A program that computes metabolic enrichment across groups of genomes and metagenomes")
 
diff --git a/bin/anvi-delete-misc-data b/bin/anvi-delete-misc-data
index 56e1801cfb..f3568485b2 100755
--- a/bin/anvi-delete-misc-data
+++ b/bin/anvi-delete-misc-data
@@ -17,7 +17,7 @@ __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['meren']
+__authors__ = ['meren', 'ekiefl']
 __requires__ = ["pan-db", "profile-db", "misc-data-items", "misc-data-layers", "misc-data-layer-orders", "misc-data-nucleotides", "misc-data-amino-acids"]
 __description__ = ("Remove stuff from 'additional data' or 'order' tables for either items or layers in either "
                    "pan or profile databases. OR, remove stuff from the 'additional data' tables for nucleotides "
diff --git a/bin/anvi-display-functions b/bin/anvi-display-functions
index ba8bb15995..7a92402775 100755
--- a/bin/anvi-display-functions
+++ b/bin/anvi-display-functions
@@ -60,6 +60,12 @@ if __name__ == '__main__':
                                 "you can use that profile with `anvi-interactive`. It is actually objectively very cool.")
     groupD.add_argument(*anvio.A('profile-db'), **anvio.K('profile-db'))
 
+    groupE = parser.add_argument_group('GENES', "By default, anvi'o will look for genes in contigs databases that are identified "
+                                "by `prodigal`. But if you have generated your contigs databse with external gene calls, or have "
+                                "otherwise used another gene caller than the default, you can explicitly ask anvi'o to use that "
+                                "one to recover your genes.")
+    groupE.add_argument(*anvio.A('gene-caller'), **anvio.K('gene-caller'))
+
     groupF = parser.add_argument_group('VISUALS RELATED', "Parameters that give access to various adjustements regarding\
                                                            the interface.")
     groupF.add_argument(*anvio.A('title'), **anvio.K('title'))
diff --git a/bin/anvi-estimate-metabolism b/bin/anvi-estimate-metabolism
index 6503384d4b..6cb60a892a 100755
--- a/bin/anvi-estimate-metabolism
+++ b/bin/anvi-estimate-metabolism
@@ -15,7 +15,8 @@ __license__ = "GPL 3.0"
 __version__ = anvio.__version__
 __authors__ = ['ivagljiva']
 __requires__ = ["contigs-db", "kegg-data", "kegg-functions", "profile-db", "collection", "bin",
-                "external-genomes", "internal-genomes", "metagenomes", "user-modules-data"]
+                "external-genomes", "internal-genomes", "metagenomes", "user-modules-data",
+                "enzymes-txt"]
 __provides__ = ["kegg-metabolism","user-metabolism"]
 __description__ = "Reconstructs metabolic pathways and estimates pathway completeness for a given set of contigs"
 
@@ -42,6 +43,13 @@ if __name__ == '__main__':
 
     parser = ArgumentParser(description=__description__)
 
+    groupD = parser.add_argument_group('METABOLISM DATA LOCATION', "What modules database(s) do you want to use?")
+    groupD.add_argument(*anvio.A('kegg-data-dir'), **anvio.K('kegg-data-dir'))
+    groupD.add_argument(*anvio.A('user-modules'), **anvio.K('user-modules', {'help': "Directory location where user-defined module "
+                                                                      "files (and database) are kept. You must have previously run "
+                                                                      "`anvi-setup-user-modules` on this directory for this to work."}))
+    groupD.add_argument(*anvio.A('only-user-modules'), **anvio.K('only-user-modules'))
+
     groupI = parser.add_argument_group('INPUT #1 - ESTIMATION ON SINGLE GENOMES OR METAGENOMES',
                                                    "The minimum you must provide this program is a contigs database. In which case "
                                                    "anvi'o will attempt to estimate metabolism for all contigs in it, assuming that "
@@ -49,7 +57,6 @@ if __name__ == '__main__':
                                                    "a metagenome, you should use the `--metagenome` flag to explicitly declare that.")
     groupI.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db', {'required': False}))
     groupI.add_argument(*anvio.A('metagenome-mode'), **anvio.K('metagenome-mode'))
-    groupI.add_argument(*anvio.A('kegg-data-dir'), **anvio.K('kegg-data-dir'))
 
     groupP = parser.add_argument_group('INPUT #2 - ESTIMATION ON BINS', "If you also provide a profile database AND a collection name, anvi'o will "
                                                    "estimate metabolism separately for each bin in your collection. You can also limit "
@@ -68,6 +75,15 @@ if __name__ == '__main__':
     groupM.add_argument(*anvio.A('internal-genomes'), **anvio.K('internal-genomes'))
     groupM.add_argument(*anvio.A('metagenomes'), **anvio.K('metagenomes'))
 
+    groupX = parser.add_argument_group('INPUT #4 - ESTIMATION ON A LIST OF ENZYMES',
+                                                   "If all you have is a list of enzymes, you can use them to estimate metabolism "
+                                                   "by creating an enzymes-txt file which describes at least 1) some sort of unique identifier "
+                                                   "for the associated gene (gene name, gene caller id, etc), 2) the enzyme accession, and 3) "
+                                                   "the annotation source. Provide this file as input, and this program will pretend that "
+                                                   "all enzymes in the file come from a single genome and will give back to you a summary of the "
+                                                   "metabolic capabilities encoded by this list of enzymes.")
+    groupX.add_argument(*anvio.A('enzymes-txt'), **anvio.K('enzymes-txt', {'required': False}))
+
     groupC = parser.add_argument_group('OUTPUT - GENERAL OPTIONS', "Parameters for controlling estimation output of any type. The output will be "
                                                  "TAB-delimited files which by default are prefixed with 'kegg-metabolism', but you can of course "
                                                  "change that name here.")
@@ -79,7 +95,7 @@ if __name__ == '__main__':
     groupC.add_argument(*anvio.A('include-kos-not-in-kofam'), **anvio.K('include-kos-not-in-kofam'))
 
     groupL = parser.add_argument_group('OUTPUT - LONG-FORMAT OPTIONS', "Parameters for controlling long-format output (the default).")
-    groupL.add_argument(*anvio.A('kegg-output-modes'), **anvio.K('kegg-output-modes'))
+    groupL.add_argument(*anvio.A('output-modes'), **anvio.K('output-modes'))
     groupL.add_argument(*anvio.A('list-available-modes'), **anvio.K('list-available-modes'))
     groupL.add_argument(*anvio.A('custom-output-headers'), **anvio.K('custom-output-headers'))
     groupL.add_argument(*anvio.A('list-available-output-headers'), **anvio.K('list-available-output-headers'))
diff --git a/bin/anvi-estimate-scg-taxonomy b/bin/anvi-estimate-scg-taxonomy
index d177eb3900..cf9dbda484 100755
--- a/bin/anvi-estimate-scg-taxonomy
+++ b/bin/anvi-estimate-scg-taxonomy
@@ -86,6 +86,7 @@ if __name__ == '__main__':
 
     groupE = parser.add_argument_group('AUTHORITY', "Assert your dominance.")
     groupE.add_argument(*anvio.A('scg-name-for-metagenome-mode'), **anvio.K('scg-name-for-metagenome-mode'))
+    groupE.add_argument(*anvio.A('report-scg-sequences-file-prefix'), **anvio.K('report-scg-sequences-file-prefix'))
     groupE.add_argument(*anvio.A('report-scg-frequencies'), **anvio.K('report-scg-frequencies'))
     groupE.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
 
diff --git a/bin/anvi-estimate-trna-taxonomy b/bin/anvi-estimate-trna-taxonomy
index f24a0cdb26..f452c16df0 100755
--- a/bin/anvi-estimate-trna-taxonomy
+++ b/bin/anvi-estimate-trna-taxonomy
@@ -18,7 +18,7 @@ __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
 __authors__ = ['meren']
-__requires__ = ['profile-db', 'contigs-db', 'trna-taxonomy', 'collection', 'bin', 'metagenomes']
+__requires__ = ['profile-db', 'contigs-db', 'trna-taxonomy', 'collection', 'bin', 'metagenomes', 'dna-sequence']
 __provides__ = ['genome-taxonomy', 'genome-taxonomy-txt']
 __resources__ = []
 __description__ = ("Estimates taxonomy at genome and metagenome level using tRNA sequences.")
diff --git a/bin/anvi-experimental-organization b/bin/anvi-experimental-organization
index fff6204263..0164eadc99 100755
--- a/bin/anvi-experimental-organization
+++ b/bin/anvi-experimental-organization
@@ -50,12 +50,7 @@ def experimental_organization(args):
         utils.is_this_name_OK_for_database('--name parameter', args.name)
 
     if args.profile_db:
-        profile_db = dbops.ProfileDatabase(args.profile_db)
-        if int(profile_db.meta['merged']):
-            split_names = profile_db.db.get_single_column_from_table('mean_coverage_splits', 'contig')
-        else:
-            split_names = profile_db.db.get_single_column_from_table('atomic_data_splits', 'contig')
-        profile_db.disconnect()
+        split_names = utils.get_all_item_names_from_the_database(args.profile_db)
 
     db_paths = {'CONTIGS.db': args.contigs_db}
     config = ClusteringConfiguration(args.config_file, args.input_directory, db_paths = db_paths, row_ids_of_interest = split_names)
diff --git a/bin/anvi-export-gene-calls b/bin/anvi-export-gene-calls
index 488d6282c9..60a7884d36 100755
--- a/bin/anvi-export-gene-calls
+++ b/bin/anvi-export-gene-calls
@@ -18,7 +18,7 @@ __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['meren']
+__authors__ = ['meren', 'ekiefl']
 __requires__ = ['contigs-db']
 __provides__ = ['gene-calls-txt']
 __description__ = "Export gene calls from an anvi'o contigs database"
@@ -45,6 +45,10 @@ def main(args):
         raise ConfigError("You should provide an output file name so anvi'o does not have to make up a silly "
                            "name :/")
 
+    if not args.gene_caller:
+        raise ConfigError("You must provide a source for your gene calls. You can always use the flag "
+                          "`--list-gene-callers` to see what is available in your contigs-db.")
+
     filesnpaths.is_output_file_writable(args.output_file)
 
     contigs_db = dbops.ContigsSuperclass(args)
@@ -90,17 +94,19 @@ if __name__ == '__main__':
 
     parser = ArgumentParser(description=__description__)
 
-    parser.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
-    parser.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
-    parser.add_argument(*anvio.A('gene-caller'), **anvio.K('gene-caller',
-            {'help': "Which gene caller(s) would you like to export gene calls for? If providing "
-                     "multiple they should be comma-separated (no spaces). If you don't know, use "
-                     "--list-gene-callers",
-             'default': None,}))
-    parser.add_argument(*anvio.A('list-gene-callers'), **anvio.K('list-gene-callers'))
-    parser.add_argument('--skip-sequence-reporting', action = 'store_true',
-            help = "By default, exported gene calls have an amino acid sequences column in the output. "
-                   "Turn this behavior off with this flag")
+    groupA = parser.add_argument_group('SOURCE FOR GENE DATA', "You want to export gene calls from where?")
+    groupA.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
+
+    groupB = parser.add_argument_group('SOURCE FOR GENE CALLS')
+    groupB.add_argument(*anvio.A('gene-caller'), **anvio.K('gene-caller', {'help': "Which gene caller(s) "
+                "would you like to export gene calls for? If providing multiple they should be comma-separated "
+                "(no spaces). If you don't know, use --list-gene-callers.", 'default': None,}))
+    groupB.add_argument(*anvio.A('list-gene-callers'), **anvio.K('list-gene-callers'))
+
+    groupC = parser.add_argument_group('MATTERS OF REPORTING')
+    groupC.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
+    groupC.add_argument('--skip-sequence-reporting', action = 'store_true', help = "By default, exported gene "
+                "calls have an amino acid sequences column in the output. Turn this behavior off with this flag")
 
     args = parser.get_args(parser)
 
diff --git a/bin/anvi-export-misc-data b/bin/anvi-export-misc-data
index ddfab0b050..025393413d 100755
--- a/bin/anvi-export-misc-data
+++ b/bin/anvi-export-misc-data
@@ -17,7 +17,7 @@ __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['meren']
+__authors__ = ['meren', 'ekiefl']
 __requires__ = ['pan-db', 'profile-db', 'contigs-db', 'misc-data-items', 'misc-data-layers', 'misc-data-layer-orders', 'misc-data-nucleotides', 'misc-data-amino-acids']
 __provides__ = ['misc-data-items-txt', 'misc-data-layers-txt', 'misc-data-layer-orders-txt', 'misc-data-nucleotides-txt', 'misc-data-amino-acids-txt']
 __description__ = "Export additional data or order tables in pan or profile databases for items or layers"
diff --git a/bin/anvi-gen-structure-database b/bin/anvi-gen-structure-database
index 75202c532f..eea9c392af 100755
--- a/bin/anvi-gen-structure-database
+++ b/bin/anvi-gen-structure-database
@@ -23,10 +23,9 @@ __resources__ = [("A conceptual tutorial on the structural biology capabilities
                   "http://merenlab.org/tutorials/infant-gut/#chapter-vii-linking-genomic-heterogeneity-to-protein-structures")]
 __requires__ = ['contigs-db', 'pdb-db']
 __provides__ = ['structure-db']
-__description__ = ("Identifies genes in your contigs database that encode proteins that are "
-                   "homologous to proteins with solved structures. If sufficiently similar "
-                   "homologs are identified, they are used as structural templates to predict "
-                   "the 3D structure of proteins in your contigs database")
+__description__ = ("Creates a database of protein structures. Predict protein structures using "
+                   "template-based homology modelling of genes in your contigs database, or import "
+                   "pre-computed PDB structures you already have.")
 
 
 @terminal.time_program
@@ -56,6 +55,9 @@ if __name__ == '__main__':
     groupO.add_argument(*anvio.A('output-db-path'), **anvio.K('output-db-path'))
     groupO.add_argument(*anvio.A('dump-dir'), **anvio.K('dump-dir'))
 
+    groupI = parser.add_argument_group('NON-MODELLER OPTIONS', 'Alternatives to using MODELLER')
+    groupI.add_argument(*anvio.A('external-structures'), **anvio.K('external-structures'))
+
     groupM = parser.add_argument_group('MODELLER PARAMS', 'Parameters for MODELLER\'s homology modeling.')
     groupM.add_argument("--num-models", "-N", type=int, default=1, help = \
                         """This parameter determines the number of predicted structures that are
diff --git a/bin/anvi-get-sequences-for-hmm-hits b/bin/anvi-get-sequences-for-hmm-hits
index e766c48d18..b18183737d 100755
--- a/bin/anvi-get-sequences-for-hmm-hits
+++ b/bin/anvi-get-sequences-for-hmm-hits
@@ -76,9 +76,12 @@ def main(args):
     if not (args.internal_genomes or args.external_genomes or args.contigs_db or args.profile_db):
         raise ConfigError("You gotta give this program some input files :/ Come on.")
 
-    if args.list_hmm_sources:
+    if args.list_hmm_sources or args.list_available_gene_names:
         if args.contigs_db:
-            ContigsDatabase(args.contigs_db).list_available_hmm_sources()
+            if args.list_hmm_sources:
+                ContigsDatabase(args.contigs_db).list_available_hmm_sources()
+            else:
+                hmmops.SequencesForHMMHits(args.contigs_db).list_available_gene_names(sources=[s.strip() for s in args.hmm_sources.split(',')] if args.hmm_sources else [])
         elif args.external_genomes or args.internal_genomes:
             genomedescriptions.GenomeDescriptions(args).list_HMM_info_and_quit()
 
diff --git a/bin/anvi-get-split-coverages b/bin/anvi-get-split-coverages
index 4e10400c9c..ca9a3ea06f 100755
--- a/bin/anvi-get-split-coverages
+++ b/bin/anvi-get-split-coverages
@@ -39,6 +39,7 @@ def main(args):
     utils.is_profile_db(args.profile_db)
 
     profile_db = dbops.ProfileSuperclass(args)
+    profile_db_variant = utils.get_db_variant(args.profile_db)
 
     if args.list_splits:
         print('\n'.join(sorted(list(profile_db.split_names))))
@@ -183,7 +184,7 @@ def main(args):
                 previous_split_name = split_names[i-1]
                 prior_nucleotides_in_contig += target_splits_dict[previous_split_name]['stop']
 
-            split_coverage_values = auxiliarydataops.AuxiliaryDataForSplitCoverages(profile_db.auxiliary_data_path, profile_db.p_meta['contigs_db_hash']).get(split_name)
+            split_coverage_values = auxiliarydataops.AuxiliaryDataForSplitCoverages(profile_db.auxiliary_data_path, profile_db.p_meta['contigs_db_hash'], db_variant=profile_db_variant).get(split_name)
 
             num_nucleotides = len(list(split_coverage_values.values())[0])
 
diff --git a/bin/anvi-get-tlen-dist-from-bam b/bin/anvi-get-tlen-dist-from-bam
new file mode 100755
index 0000000000..086c0978b4
--- /dev/null
+++ b/bin/anvi-get-tlen-dist-from-bam
@@ -0,0 +1,76 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+
+import sys
+import numpy as np
+import pandas as pd
+
+import anvio
+import anvio.dbops as dbops
+import anvio.bamops as bamops
+import anvio.utils as utils
+import anvio.terminal as terminal
+import anvio.filesnpaths as filesnpaths
+
+from anvio.argparse import ArgumentParser
+from anvio.errors import ConfigError, FilesNPathsError
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
+__credits__ = []
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__authors__ = ['meren']
+__provides__ = []
+__requires__ = ["bam-file"]
+__description__ = ("Report the distribution of template lengths from a BAM file. The purpose of "
+                   "this is to get an idea about the insert size distribution in a BAM file "
+                   "rapidly by summarizing distances between each paired-end read in a given "
+                   "read recruitment experiment.")
+
+
+pp = terminal.pretty_print
+
+
+@terminal.time_program
+def main(args):
+    bamops.PairedEndTemplateDist(args).process()
+
+
+if __name__ == '__main__':
+    parser = ArgumentParser(description=__description__)
+
+    parser.add_argument('bam_file', metavar = 'BAM_FILE', help = "An indexed BAM file")
+
+    groupA = parser.add_argument_group('INPUT OPTIONS', "Things you don't care but should.")
+    groupA.add_argument('--min-template-length-frequency', type=int, default=10, help="How many times a template "
+                        "lenght should be observed to be considered as a viable template lenght? If "
+                        "this number is zero, you will have an extremely large number template lengths "
+                        "that will likely be due to noise. This number can be best set as a function of "
+                        "the total number of mapped reads in a bam file. The default value is set with "
+                        "the assumption that you have millions of reads in the BAM file.")
+    groupA.add_argument('--max-template-length-to-consider', type=int, default=500000, help="Some paired end reads will "
+                        "map incredibly distant locations given the linear sequences you have used for "
+                        "read recruitment if the DNA templates were circular in the sample used for "
+                        "sequencing. Which is a beautiful thing, but can ruin your histogram. Using this "
+                        "parameter, you can discard paired end reads that are extremely distant from "
+                        "one another.")
+
+
+    groupB = parser.add_argument_group('OUTPUT OPTIONS', "Output options.")
+    groupB.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
+    groupB.add_argument('--plot-data', action='store_true', default=False, help="In addition to providing "
+                        "you with a TAB-delimited output file, anvi'o can also try to plot a summary "
+                        "histogram for the template length distribution across ALL contigs in a given BAM "
+                        "file")
+
+    args = parser.get_args(parser)
+
+    try:
+        main(args)
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
+    except FilesNPathsError as e:
+        print(e)
+        sys.exit(-1)
diff --git a/bin/anvi-import-collection b/bin/anvi-import-collection
index 60f47e38de..6dbe8e582b 100755
--- a/bin/anvi-import-collection
+++ b/bin/anvi-import-collection
@@ -57,10 +57,14 @@ def main(args):
         input_names_missing_from_contigs_db = [n for n in input_data_file_content if n not in contig_names_in_db]
 
         if len(input_names_missing_from_contigs_db):
-            raise ConfigError("OK. %d of %d contig names in your input file have nothing to do with the contig names found in "
-                              "the contigs database. Here is an example: %s." % (len(input_names_missing_from_contigs_db),
-                                                                                 len(input_data_file_content),
-                                                                                 input_names_missing_from_contigs_db[0]))
+            if len(input_names_missing_from_contigs_db) == len(input_data_file_content):
+                raise ConfigError(f"None of the contig names in your input file matches to the contig names found in the contigs :( "
+                                  f"Maybe those are split names and you are mistakenly using `--contigs-mode` flag? Well, here is an "
+                                  f"example: {input_names_missing_from_contigs_db[0]}.")
+            else:
+                raise ConfigError(f"OK. Of the {len(input_data_file_content)} in your input file, {len(input_names_missing_from_contigs_db)} "
+                                  f"have no match to any contig names found in your contigs database. Here is an example contig name from "
+                                  f"your file that does not match to anything in the contigs db: {input_names_missing_from_contigs_db[0]}")
 
         # convert input data names to split names:
         contig_names = list(input_data_file_content.keys())
diff --git a/bin/anvi-import-misc-data b/bin/anvi-import-misc-data
index 9c6376e261..e6b123fef9 100755
--- a/bin/anvi-import-misc-data
+++ b/bin/anvi-import-misc-data
@@ -17,7 +17,7 @@ __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['meren']
+__authors__ = ['meren', 'ekiefl']
 __resources__ = [("A primer on anvi'o misc data tables", "http://merenlab.org/2017/12/11/additional-data-tables/"),]
 __requires__ = ['pan-db', 'profile-db', 'contigs-db', 'misc-data-items-txt', 'dendrogram', 'phylogeny', 'misc-data-layers-txt', 'misc-data-layer-orders-txt', 'misc-data-nucleotides-txt',  'misc-data-amino-acids-txt']
 __provides__ = ['misc-data-items', 'misc-data-layers', 'misc-data-layer-orders', 'misc-data-nucleotides', 'misc-data-amino-acids']
diff --git a/bin/anvi-init-bam b/bin/anvi-init-bam
index a8960bc8a3..9bd2c49a70 100755
--- a/bin/anvi-init-bam
+++ b/bin/anvi-init-bam
@@ -18,7 +18,7 @@ __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['meren']
+__authors__ = ['meren', 'ekiefl']
 __requires__ = ['raw-bam-file',]
 __provides__ = ['bam-file',]
 __description__ = "Sort/Index BAM files"
diff --git a/bin/anvi-interactive b/bin/anvi-interactive
index a853364141..79d2a24f7c 100755
--- a/bin/anvi-interactive
+++ b/bin/anvi-interactive
@@ -54,7 +54,7 @@ if __name__ == '__main__':
                                     anvi'o, and want to see the distribution of your bins across samples. In these cases\
                                     anvi'o will cluster your bins and based on multiple metrics. Because this particular\
                                     clustering will be done on the fly within anvi'o interactive class, you get to define\
-                                    a disntance metric and a linkage method using --linkage and --distance parameters if\
+                                    a distance metric and a linkage method using --linkage and --distance parameters if\
                                     you want!"}))
 
     groupB = parser.add_argument_group('MANUAL INPUTS', "Mandatory input parameters to start the interactive interface\
diff --git a/bin/anvi-merge b/bin/anvi-merge
index 79e86d4f90..a3d77f40e3 100755
--- a/bin/anvi-merge
+++ b/bin/anvi-merge
@@ -27,7 +27,7 @@ if __name__ == '__main__':
     parser = ArgumentParser(description=__description__)
 
     parser.add_argument('input', metavar = 'SINGLE_PROFILE(S)', nargs='+',
-                        help = "Anvo'o single profiles to merge")
+                        help = "Anvi'o single profiles to merge")
 
     parser.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
     parser.add_argument(*anvio.A('output-dir'), **anvio.K('output-dir'))
diff --git a/bin/anvi-merge-trnaseq b/bin/anvi-merge-trnaseq
new file mode 100755
index 0000000000..83e520dddc
--- /dev/null
+++ b/bin/anvi-merge-trnaseq
@@ -0,0 +1,64 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+
+import sys
+
+import anvio
+import anvio.trnaseq as trnaseq
+
+from anvio.argparse import ArgumentParser
+from anvio.errors import ConfigError, FilesNPathsError
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2020, the Meren Lab (http://merenlab.org/)"
+__credits__ = []
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__authors__ = ['semiller10']
+__requires__ = ['trnaseq-db']
+__provides__ = ['trnaseq-contigs-db', 'trnaseq-profile-db']
+__description__ = ("This program processes one or more anvi'o tRNA-seq databases produced by `anvi-trnaseq` "
+                   "and outputs anvi'o contigs and merged profile databases accessible to other tools in the anvi'o ecosystem. "
+                   "Final tRNA \"seed sequences\" are determined from a set of samples. "
+                   "Each sample yields a set of tRNA predictions stored in a tRNA-seq database, "
+                   "and these tRNAs may be shared among the samples. "
+                   "tRNA may be 3' fragments and thereby subsequences of longer tRNAs from other samples which would become seeds. "
+                   "The profile database produced by this program records the coverages of seeds in each sample. "
+                   "This program finalizes predicted nucleotide modification sites using tunable substitution rate parameters.")
+
+
+if __name__ == '__main__':
+    parser = ArgumentParser(description=__description__)
+
+    groupA = parser.add_argument_group('MANDATORY')
+    groupA.add_argument('input', metavar='TRNASEQ_DB(S)', nargs='+',
+                        help="Anvi'o tRNA-seq databases representing samples in an experiment")
+    groupA.add_argument(*anvio.A('output-dir'), **anvio.K('output-dir'))
+    groupA.add_argument(*anvio.A('project-name'), **anvio.K('project-name'))
+
+    groupB = parser.add_argument_group('EXTRAS')
+    groupB.add_argument(*anvio.A('num-threads'), **anvio.K('num-threads'))
+    groupB.add_argument(*anvio.A('max-reported-trna-seeds'), **anvio.K('max-reported-trna-seeds'))
+    groupB.add_argument(*anvio.A('overwrite-output-destinations'), **anvio.K('overwrite-output-destinations'))
+    groupB.add_argument(*anvio.A('description'), **anvio.K('description'))
+
+    groupC = parser.add_argument_group('ADVANCED')
+    groupC.add_argument(*anvio.A('feature-threshold'), **anvio.K('feature-threshold'))
+    groupC.add_argument(*anvio.A('preferred-treatment'), **anvio.K('preferred-treatment'))
+    groupC.add_argument(*anvio.A('nonspecific-output'), **anvio.K('nonspecific-output'))
+    groupC.add_argument(*anvio.A('min-variation'), **anvio.K('min-variation'))
+    groupC.add_argument(*anvio.A('min-third-fourth-nt'), **anvio.K('min-third-fourth-nt'))
+    groupC.add_argument(*anvio.A('min-indel-fraction'), **anvio.K('min-indel-fraction'))
+    groupC.add_argument(*anvio.A('distance'), **anvio.K('distance'))
+    groupC.add_argument(*anvio.A('linkage'), **anvio.K('linkage'))
+
+    args = parser.get_args(parser)
+    try:
+        converter = trnaseq.DatabaseMerger(args)
+        converter.process()
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
+    except FilesNPathsError as e:
+        print(e)
+        sys.exit(-2)
diff --git a/bin/anvi-plot-trnaseq b/bin/anvi-plot-trnaseq
new file mode 100755
index 0000000000..0ae88bc5ba
--- /dev/null
+++ b/bin/anvi-plot-trnaseq
@@ -0,0 +1,43 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+"""Plot coverage and modification data from flexible groups of tRNA-seq seeds"""
+
+import sys
+
+import anvio
+import anvio.trnaseq as trnaseq
+
+from anvio.errors import ConfigError
+from anvio.argparse import ArgumentParser
+
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
+__credits__ = []
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__maintainer__ = "Samuel Miller"
+__email__ = "samuelmiller10@gmail.com"
+__requires__ = ['trnaseq-contigs-db', 'trnaseq-seed-txt', 'modifications-txt']
+__provides__ = ['trnaseq-plot']
+__description__ = "A program to write plots of coverage and modification data from flexible groups of tRNA-seq seeds"
+
+
+if __name__ == '__main__':
+    parser = ArgumentParser(description=__description__)
+
+    group1 = parser.add_argument_group('MANDATORY')
+    group1.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
+    group1.add_argument(*anvio.A('seeds-specific-txt'), **anvio.K('seeds-specific-txt'))
+    group1.add_argument(*anvio.A('modifications-txt'), **anvio.K('modifications-txt'))
+
+    group2 = parser.add_argument_group('OPTIONAL')
+    group2.add_argument(*anvio.A('output-dir'), **anvio.K('output-dir'))
+
+    args = parser.get_args(parser)
+    try:
+        result_plotter = trnaseq.ResultPlotter(args)
+        result_plotter.go()
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
diff --git a/bin/anvi-profile b/bin/anvi-profile
index 0416b0ee06..0854454fc1 100755
--- a/bin/anvi-profile
+++ b/bin/anvi-profile
@@ -48,6 +48,7 @@ if __name__ == '__main__':
                         help = 'Sorted and indexed BAM file to analyze. Takes a long time depending on the\
                                 length of the file and parameters used for profiling.')
 
+    groupJ = parser.add_argument_group('FILTERS', 'Choose which reads to work (or not to work) with like a pro.')
     groupM = parser.add_argument_group('EXTRAS', 'Things that are not mandatory, but can be useful if/when declared.')
     groupX = parser.add_argument_group('HIERARCHICAL CLUSTERING', "Do you want your splits to be clustered? Yes? No?\
                                         Maybe? Remember: By default, anvi-profile will not perform hierarchical clustering\
@@ -62,6 +63,11 @@ if __name__ == '__main__':
 
     groupI.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db', {'required': False}))
     groupI.add_argument(*anvio.A('blank-profile'), **anvio.K('blank-profile'))
+    groupJ.add_argument(*anvio.A('min-percent-identity'), **anvio.K('min-percent-identity', {'help': 
+                            'Ignore any reads with a percent identity to the reference less '
+                            'than this number, e.g. 95. If not provided, all reads in the BAM '
+                            'file will be used (and things will run faster).', 'default': None}))
+    groupJ.add_argument(*anvio.A('fetch-filter'), **anvio.K('fetch-filter'))
     groupM.add_argument(*anvio.A('output-dir'), **anvio.K('output-dir'))
     groupM.add_argument(*anvio.A('overwrite-output-destinations'), **anvio.K('overwrite-output-destinations'))
     groupM.add_argument(*anvio.A('sample-name'), **anvio.K('sample-name'))
@@ -69,10 +75,6 @@ if __name__ == '__main__':
     groupM.add_argument(*anvio.A('skip-SNV-profiling'), **anvio.K('skip-SNV-profiling'))
     groupM.add_argument(*anvio.A('skip-INDEL-profiling'), **anvio.K('skip-INDEL-profiling'))
     groupM.add_argument(*anvio.A('profile-SCVs'), **anvio.K('profile-SCVs'))
-    groupM.add_argument(*anvio.A('min-percent-identity'), **anvio.K('min-percent-identity', {'help': 
-                            'Ignore any reads with a percent identity to the reference less '
-                            'than this number, e.g. 95. If not provided, all reads in the BAM '
-                            'file will be used (and things will run faster).', 'default': None}))
     groupM.add_argument(*anvio.A('description'), **anvio.K('description'))
     groupX.add_argument(*anvio.A('cluster-contigs'), **anvio.K('cluster-contigs'))
     groupX.add_argument(*anvio.A('skip-hierarchical-clustering'), **anvio.K('skip-hierarchical-clustering'))
diff --git a/bin/anvi-profile-blitz b/bin/anvi-profile-blitz
index 348b1ed803..96a7a569a0 100755
--- a/bin/anvi-profile-blitz
+++ b/bin/anvi-profile-blitz
@@ -2,15 +2,9 @@
 # -*- coding: utf-8
 
 import sys
-import numpy as np
-import pandas as pd
 
 import anvio
-import anvio.dbops as dbops
-import anvio.bamops as bamops
-import anvio.utils as utils
 import anvio.terminal as terminal
-import anvio.filesnpaths as filesnpaths
 
 from anvio.argparse import ArgumentParser
 from anvio.errors import ConfigError, FilesNPathsError
diff --git a/bin/anvi-run-hmms b/bin/anvi-run-hmms
index 70eb6ca07f..d46491c872 100755
--- a/bin/anvi-run-hmms
+++ b/bin/anvi-run-hmms
@@ -93,7 +93,7 @@ def main(args):
 
     search_tables = TablesForHMMHits(args.contigs_db, num_threads_to_use=args.num_threads, just_do_it=args.just_do_it,
                                      hmm_program_to_use=args.hmmer_program, hmmer_output_directory=args.hmmer_output_dir,
-                                     get_domain_table_output=args.domain_hits_table)
+                                     get_domain_table_output=args.domain_hits_table, add_to_functions_table=args.add_to_functions_table)
     search_tables.populate_search_tables(sources)
 
     if not args.hmm_profile_dir and not args.installed_hmm_profile and args.also_scan_trnas:
@@ -108,7 +108,7 @@ if __name__ == '__main__':
     parser = ArgumentParser(description=__description__)
 
 
-    groupA = parser.add_argument_group("DB", "An anvi'o contigs adtabase to populate with HMM hits")
+    groupA = parser.add_argument_group("DB", "An anvi'o contigs database to populate with HMM hits")
     groupA.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
 
     groupB = parser.add_argument_group("HMM OPTIONS", "If you have your own HMMs, or if you would like to run only a set of "
@@ -134,6 +134,7 @@ if __name__ == '__main__':
     groupD.add_argument(*anvio.A('hmmer-program'), **anvio.K('hmmer-program'))
 
     groupE = parser.add_argument_group("AUTHORITY", "Because you are the boss.")
+    groupE.add_argument(*anvio.A('add-to-functions-table'), **anvio.K('add-to-functions-table'))
     groupE.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
 
     args = parser.get_args(parser)
diff --git a/bin/anvi-setup-user-modules b/bin/anvi-setup-user-modules
new file mode 100755
index 0000000000..87025a3a3c
--- /dev/null
+++ b/bin/anvi-setup-user-modules
@@ -0,0 +1,57 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+
+import sys
+
+import anvio
+import anvio.kegg as kegg
+
+from anvio.errors import ConfigError, FilesNPathsError
+from anvio.terminal import time_program
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2020, the Meren Lab (http://merenlab.org/)"
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__authors__ = ['ivagljiva']
+__requires__ = ["user-modules-data"]
+__provides__ = ["modules-db", "user-modules-data"]
+__description__ = "Set up user-defined metabolic pathways into an anvi'o-compatible database"
+
+@time_program
+def main(args):
+    ## initialize some empty arguments that are unnecessary here but expected by KeggSetup class
+    args.kegg_archive = None
+    args.kegg_snapshot = None
+    args.download_from_kegg = None
+
+    setup = kegg.KeggSetup(args)
+    setup.setup_data()
+
+if __name__ == '__main__':
+    from anvio.argparse import ArgumentParser
+
+    parser = ArgumentParser(description=__description__)
+    groupU = parser.add_argument_group('USER DATA SETUP', "If you have defined your own set "
+                                       "of metabolic modules, you can use this program to parse these "
+                                       "files into the format required for metabolism estimation.")
+    groupU.add_argument(*anvio.A('user-modules'), **anvio.K('user-modules'))
+    
+    groupE = parser.add_argument_group('EXTRAS', "Extras for the extra.")
+    groupE.add_argument(*anvio.A('kegg-data-dir'), **anvio.K('kegg-data-dir', {'help': "You may need to provide the location of "
+                                                                               "your existing KEGG data so that we can properly "
+                                                                               "sanity check your data. Use this parameter to do so."}))
+    groupE.add_argument(*anvio.A('reset'), **anvio.K('reset'))
+    groupE.add_argument(*anvio.A('just-do-it'), **anvio.K('just-do-it'))
+
+    args = parser.get_args(parser)
+
+    try:
+        main(args)
+
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
+    except FilesNPathsError as e:
+        print(e)
+        sys.exit(-1)
diff --git a/bin/anvi-show-misc-data b/bin/anvi-show-misc-data
index 1389328377..1128201a63 100755
--- a/bin/anvi-show-misc-data
+++ b/bin/anvi-show-misc-data
@@ -17,7 +17,7 @@ __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['meren']
+__authors__ = ['meren', 'ekiefl']
 __requires__ = ["pan-db", "profile-db", "contigs-db"]
 __description__ = "Show all misc data keys in all misc data tables"
 
diff --git a/bin/anvi-split b/bin/anvi-split
index 23b0b5343d..a97f1a64ef 100755
--- a/bin/anvi-split
+++ b/bin/anvi-split
@@ -21,10 +21,7 @@ __authors__ = ['meren']
 __requires__ = ['profile-db', 'contigs-db', 'genomes-storage-db', 'pan-db', 'collection',]
 __provides__ = ['split-bins',]
 __resources__ = [("Anvi-split in action in the pangenomics tutorial", "http://merenlab.org/2016/11/08/pangenomics-v2/#splitting-the-pangenome")]
-__description__ = ("Split an anvi'o pan or profile database into smaller, self-contained pieces. "
-                   "Provide either a genomes-storage and pan database or a profile and contigs database "
-                   "pair, and you'll get back directories of individual projects for each bin "
-                   " that can be treated as smaller anvi'o projects")
+__description__ = ("Split an anvi'o pan or profile database into smaller, self-contained projects. Black magic.")
 
 
 if __name__ == '__main__':
diff --git a/bin/anvi-tabulate-trnaseq b/bin/anvi-tabulate-trnaseq
new file mode 100755
index 0000000000..13eebe0da0
--- /dev/null
+++ b/bin/anvi-tabulate-trnaseq
@@ -0,0 +1,47 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+"""Tabulate data on tRNA seeds from a set of tRNA-seq samples"""
+
+
+import sys
+
+import anvio
+import anvio.trnaseq as trnaseq
+
+from anvio.errors import ConfigError
+from anvio.argparse import ArgumentParser
+
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
+__credits__ = []
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__maintainer__ = "Samuel Miller"
+__email__ = "samuelmiller10@gmail.com"
+__requires__ = ['trnaseq-contigs-db', 'trnaseq-profile-db']
+__provides__ = ['trnaseq-seed-txt', 'modifications-txt']
+__description__ = "A program to write standardized tab-delimited files of tRNA-seq seed coverage and modification results"
+
+
+if __name__ == '__main__':
+    parser = ArgumentParser(description=__description__)
+
+    group1 = parser.add_argument_group('MANDATORY')
+    group1.add_argument(*anvio.A('contigs-db'),
+                        **anvio.K('contigs-db',
+                                  {'help': "Path to a `trnaseq`-variant contigs database, as produced by `anvi-merge-trnaseq`."}))
+    group1.add_argument(*anvio.A('specific-profile-db'), **anvio.K('specific-profile-db'))
+
+    group2 = parser.add_argument_group('OPTIONAL')
+    group2.add_argument(*anvio.A('nonspecific-profile-db'), **anvio.K('nonspecific-profile-db'))
+    group2.add_argument(*anvio.A('output-dir'), **anvio.K('output-dir'))
+    group2.add_argument(*anvio.A('overwrite-output-destinations'), **anvio.K('overwrite-output-destinations'))
+
+    args = parser.get_args(parser)
+    try:
+        result_tabulator = trnaseq.ResultTabulator(args)
+        result_tabulator.process()
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
diff --git a/bin/anvi-trnaseq b/bin/anvi-trnaseq
index e26b658d94..ce1484311d 100755
--- a/bin/anvi-trnaseq
+++ b/bin/anvi-trnaseq
@@ -1,6 +1,6 @@
 #!/usr/bin/env python
 # -*- coding: utf-8
-"""tRNA-seq data analysis workflow"""
+"""De novo prediction of tRNAs and their properties from a single tRNA-seq library"""
 
 import sys
 
@@ -13,15 +13,14 @@ from anvio.errors import ConfigError, FilesNPathsError
 
 
 __author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2020, the Meren Lab (http://merenlab.org/)"
+__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
 __authors__ = ['semiller10']
 __requires__ = ['trnaseq-fasta']
 __provides__ = ['trnaseq-db']
-__description__ = ("A program to process raw tRNA-seq dataset, which is the sequencing of tRNA transcripts "
-                   "in a given sample, to generate an anvi'o tRNA-seq database")
+__description__ = "A program to process reads from a tRNA-seq dataset to generate an anvi'o tRNA-seq database"
 
 
 if __name__ == '__main__':
diff --git a/bin/anvi-update-structure-database b/bin/anvi-update-structure-database
index 400fa856cc..be2b1b0e2f 100755
--- a/bin/anvi-update-structure-database
+++ b/bin/anvi-update-structure-database
@@ -40,6 +40,7 @@ if __name__ == '__main__':
     groupD.add_argument(*anvio.A('structure-db'), **anvio.K('structure-db'))
     groupG.add_argument(*anvio.A('genes-of-interest'), **anvio.K('genes-of-interest'))
     groupG.add_argument(*anvio.A('gene-caller-ids'), **anvio.K('gene-caller-ids'))
+    groupG.add_argument(*anvio.A('external-structures'), **anvio.K('external-structures'))
     groupO.add_argument(*anvio.A('dump-dir'), **anvio.K('dump-dir'))
     groupM.add_argument('--list-modeller-params', action='store_true', help='Since you are updating an existing DB, modeller params are set in '
                                                                             'place. You can have this program list them by providing this flag')
diff --git a/sandbox/anvi-script-as-markdown b/sandbox/anvi-script-as-markdown
new file mode 100755
index 0000000000..047e52c812
--- /dev/null
+++ b/sandbox/anvi-script-as-markdown
@@ -0,0 +1,90 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+
+import sys
+
+import anvio
+
+from anvio.errors import ConfigError
+
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
+__credits__ = []
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__authors__ = ['meren']
+__provides__ = ['markdown-txt']
+__description__ = ("Markdownizides TAB-delmited data with headers in terminal.")
+
+
+def main(args):
+    line_counter = 0
+    num_fields = None
+    field_indices_to_include = []
+    field_indices_for_code_columns = []
+
+    if args.max_num_lines_to_show:
+        if args.max_num_lines_to_show < 2:
+            raise ConfigError("Max number of lines to show can't be less than 2 :/")
+
+    for line in sys.stdin:
+        if '\t' not in line:
+            raise ConfigError("This program only works with TAB delimited input files :/")
+
+        line_counter += 1
+
+        fields = line.strip('\n').split('\t')
+
+        if line_counter == 1:
+            if args.exclude_columns:
+                field_names_to_exclude = [n.strip() for n in args.exclude_columns.split(',')]
+                field_indices_to_include = [i for i in range(0, len(fields)) if fields[i] not in field_names_to_exclude]
+            else:
+                field_indices_to_include = range(0, len(fields))
+
+            if args.code_columns:
+                field_names_for_code_columns = [n.strip() for n in args.code_columns.split(',')]
+                field_indices_for_code_columns = [i for i in range(0, len(fields)) if fields[i] in field_names_for_code_columns]
+
+        if not num_fields:
+            num_fields = len(fields)
+        else:
+            if num_fields != len(fields):
+                raise ConfigError(f"The number of TAB-delimited fields do not seem to be equal throughout the lines "
+                                  f"of the input file. The first line had {num_fields} TAB-delimited fields, but the "
+                                  f"line {line_counter} had {len(fields)} of them :/")
+
+        if line_counter == 1:
+            print("|" + "|".join([f"**{fields[i]}**" for i in field_indices_to_include]) + "|")
+            print("|" + "|".join([":--"] * len(field_indices_to_include)) + "|")
+        else:
+            output = []
+
+            for i in field_indices_to_include:
+                if i in field_indices_for_code_columns:
+                    output.append("`" + fields[i].replace('|', '\\|') + "`")
+                else:
+                    output.append(fields[i].replace('|', '\\|'))
+
+            print("|" + "|".join(output) + "|")
+
+        if line_counter == args.max_num_lines_to_show:
+            print("|" + "|".join(["(...)"] * len(field_indices_to_include)) + "|")
+            return
+
+
+
+if __name__ == '__main__':
+    from anvio.argparse import ArgumentParser
+    parser = ArgumentParser(description=__description__)
+    parser.add_argument('--max-num-lines-to-show', type=int, default=None, help="Maximum number of lines to show.")
+    parser.add_argument('--exclude-columns', type=str, default=None, help="Comma-separated list of column names to exclude from the output.")
+    parser.add_argument('--code-columns', type=str, default=None, help="Comma-separated list of column names to be wrapped with '`' characters.")
+    args = parser.get_args(parser)
+
+    try:
+        main(args)
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
diff --git a/sandbox/anvi-script-compute-bayesian-pan-core b/sandbox/anvi-script-compute-bayesian-pan-core
index 363abf5c05..ebb961020b 100755
--- a/sandbox/anvi-script-compute-bayesian-pan-core
+++ b/sandbox/anvi-script-compute-bayesian-pan-core
@@ -15,15 +15,6 @@ from anvio.tables.miscdata import TableForItemAdditionalData
 
 __citation__ = "'mOTUlizer' by Buck et al (https://doi.org/10.1101/2021.06.25.449606)"
 
-try:
-    from mOTUlizer.classes.mOTU import mOTU
-except ModuleNotFoundError:
-    raise ConfigError(f"{__citation__} does not seem to be installed on your system as anvi'o was "
-                      f"unable to import its Python libraries :( In theory you should be able to install "
-                      f"mOTUlizer by running the following command in your anvi'o environment: pip install "
-                      f"mOTUlizer. Please visit the URL https://github.com/moritzbuck/mOTUlizer to read most "
-                      f"up-to-date installation instructions or to report issues. Thank you for your patience!")
-
 __author__ = "Developers of anvi'o (see AUTHORS.txt)"
 __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
@@ -31,7 +22,7 @@ __license__ = "GPL 3.0"
 __version__ = anvio.__version__
 __authors__ = ['moritzbuck']
 __requires__ = ["pan-db", "genomes-storage-db"]
-__provides__ = []
+__provides__ = ["bin"]
 __resources__ = [("GitHub repository for the mOTUPan", "https://github.com/moritzbuck/mOTUlizer/")]
 __description__ = "Runs mOTUpan on your gene clusters to estimate whether they are core or accessory"
 
@@ -41,6 +32,16 @@ progress = terminal.Progress()
 
 
 def main(args):
+    try:
+        from mOTUlizer.classes.mOTU import mOTU
+    except ModuleNotFoundError:
+        raise ConfigError(f"{__citation__} does not seem to be installed on your system as anvi'o was "
+                          f"unable to import its Python libraries :( In theory you should be able to install "
+                          f"mOTUlizer by running the following command in your anvi'o environment: pip install "
+                          f"mOTUlizer. Please visit the URL https://github.com/moritzbuck/mOTUlizer to read most "
+                          f"up-to-date installation instructions or to report issues. Thank you for your patience!")
+
+
     if not args.output_file and not args.store_in_db:
         if args.just_do_it:
             run.warning("Lol. You are making anvi'o compute stuff that will not be stored anywhere. Weird you :(", lc="green")
diff --git a/sandbox/anvi-script-enrichment-stats b/sandbox/anvi-script-enrichment-stats
index b5752d35e0..c66f3b24c0 100755
--- a/sandbox/anvi-script-enrichment-stats
+++ b/sandbox/anvi-script-enrichment-stats
@@ -5,6 +5,7 @@
 
 ## Original Author: Amy Willis, March 2020
 ## Generalized by: Iva Veseli, Sept 2020
+## Last updated: Amy Willis, November 2021
 
 ## Usage:
 #         anvi-script-enrichment-stats --input=input.txt --output=output.txt
@@ -115,7 +116,7 @@ if (file.access(opts$input) == -1) {
 df_in <- readr::read_tsv(file = opts$input, col_types = cols())
 
 if (nrow(df_in) < 2) {
-    stop(sprintf("Your input file contains less than two lines :/ Not OK."))
+  stop(sprintf("Your input file contains less than two lines :/ Not OK."))
 }
 
 # Find number of groups
@@ -130,13 +131,13 @@ if (num_groups %% 1 != 0) {
 
 # make sure the input file contains expected columns
 for (column_name in c("accession", "associated_groups")) {
-    if (not (column_name %in% colnames(df_in)))
-        stop(sprintf("The input file '%s' does not contain an essential column ('%s').", opts$input, column_name))
+  if (not (column_name %in% colnames(df_in)))
+    stop(sprintf("The input file '%s' does not contain an essential column ('%s').", opts$input, column_name))
 }
 
 # make sure associated_groups column includes group names.
 if (nrow(drop_na(distinct(df_in, associated_groups))) == 0) {
-    stop(sprintf("You have no group associations in your data. Which means, nothing is differentially occurring across your groups :/"))
+  stop(sprintf("You have no group associations in your data. Which means, nothing is differentially occurring across your groups :/"))
 }
 
 # Set up functions to run
@@ -159,32 +160,87 @@ get_unadjusted_p_value <- function(anova_output) {
                 stop("glm gave you a not-small test statistic but a missing p-value. This shouldn't happen! But it has, please submit an issue on our GitHub and tag @adw96 :)")))
 }
 
+# multiple functions have the same data, so get only unique data rows
+df_unique <- df_in %>%
+  select(names(df_in)[n_columns_before_data + (1 : (num_groups * 2))]) %>%
+  distinct %>%
+  add_column("data_structure_index" = 1:nrow(.), .before=1)
+
 # fit the GLMs in a nifty way using nest()
-w_models <- df_in %>%
-  gather(key = "type", value = "value", -c(1:n_columns_before_data)) %>%
+w_models_unique <- df_unique %>%
+  pivot_longer(cols = -1, names_to="type", values_to="value") %>%
   separate(type, into = c("type", "group"), sep = "_", extra = "merge") %>%
-  spread(type, value) %>%
-  mutate(x = N * p) %>%
+  pivot_wider(names_from="type", values_from="value") %>%
+  mutate(x = round(N * p)) %>%
   select(-p) %>%
-  group_by(accession) %>%
+  group_by(data_structure_index) %>%
   nest %>%
   mutate(model = map(data, run_test_no_spread))
 
 # get the p-values & enrichment_scores
-pvalues_df <- w_models %>%
-  transmute(accession,
+pvalues_df_unique <- w_models_unique %>%
+  transmute(data_structure_index,
             "unadjusted_p_value" = map_dbl(model, get_unadjusted_p_value),
             "enrichment_score" = map_dbl(model, get_enrichment_score))
 
+# Rao test statistic should always be positive. However,
+# it happens that Rao test statistics are numerically negative
+# but close to zero. If they are large and negative (say, smaller than
+# 0.00001), we should throw an error:
+if (min(pvalues_df_unique$enrichment_score) < -1e-5) {
+  message("A Rao test statistic is large and negative, oh my!")
+  message("Here are the rows where the test statistic was negative:")
+
+  pvalues_df_unique %>%
+    filter(enrichment_score < -1e-5) %>%
+    arrange(desc(enrichment_score)) %>%
+    print(n = Inf)
+
+  stop("Something has gone terribly wrong, and it's Amy's fault. Please let her know ASAP so she can fix it!")
+}
+
+pvalues_df <- df_unique %>%
+  inner_join(pvalues_df_unique, by = "data_structure_index") %>%
+  select(-data_structure_index) %>%
+  inner_join(df_in, .,
+             by = names(df_in)[n_columns_before_data + (1 : (num_groups * 2))])
+
 # find the maximum lambda for qvalue
 # reasons for this change documented at https://github.com/merenlab/anvio/issues/1383
 max_lambda <- min(0.95, max(pvalues_df$unadjusted_p_value, na.rm=T))
+lambdas <- seq(0.05, max_lambda, 0.05)
+
+# obtain an estimate of the proportion of features that are truly null
+pi0_est <- try(qvalue::pi0est(pvalues_df$unadjusted_p_value,
+                              lambda = lambdas, pi0.method="smoother")$pi0,
+               silent=T)
+
+
+if ("try-error" %in% class(pi0_est)) {
+
+  # Sometimes, especially when there are many of p-values near 0.5 and fewer near 1
+  # (documented at https://github.com/merenlab/anvio/issues/1828),
+  # we can't reliably do the extrapolation we want. Let's instead just say
+  # that features with p-values above 0.2 are likely null, and use that to estimate
+  # the proportion of features that are truly null.
+  lambdas <- 0.2
+  pi0_est <- try(qvalue::pi0est(pvalues_df$unadjusted_p_value,
+                                lambda = lambdas, pi0.method="smoother")$pi0,
+                 silent=T)
+
+  if ("try-error" %in% class(pi0_est)) {
+
+    stop("Doh! We still can't estimate the proportion of features that are truly null. It's Amy's fault, so please let her know ASAP so she can fix it!")
+
+  }
+
+}
 
 # get the q-values, then format the data and save
-enrichment_output <- pvalues_df %>%
-  mutate("adjusted_q_value" = qvalue::qvalue(unadjusted_p_value,
-                                             lambda = seq(0.05, max_lambda, 0.05))$qvalues) %>%
-  left_join(df_in, by = "accession") %>%
+qvalues_df <- pvalues_df %>%
+  mutate("adjusted_q_value" = qvalue::qvalue(p=unadjusted_p_value, lambda=lambdas, pi0.method="smoother")$qvalues)
+
+enrichment_output <- qvalues_df %>%
   select(names(df_in)[1],  # e.g. COG_FUNCTION
          enrichment_score,
          unadjusted_p_value,
@@ -194,23 +250,7 @@ enrichment_output <- pvalues_df %>%
          names(df_in)[3],
          names(df_in)[n_columns_before_data + (1 : (num_groups * 2))])
 
-# Rao test statistic should always be positive. However,
-# it happens that Rao test statistics are numerically negative
-# but close to zero. If they are large and negative (say, smaller than
-# 0.00001), we should throw an error:
-if (min(enrichment_output$enrichment_score) < -1e-5) {
-  message("A Rao test statistic is large and negative, oh my!")
-  message("Here are the rows where the test statistic was negative:")
-
-  enrichment_output %>%
-    filter(enrichment_score < 0) %>%
-    arrange(desc(enrichment_score)) %>%
-    print(n = Inf)
-
-  stop("Something has gone terribly wrong, and it's Amy's fault. Please let her know ASAP so she can fix it!")
-}
-
-# If they are small and negative, just set them to zero. Then,
+# If they are small and negative (checked earlier), just set them to zero. Then,
 # order the columns from largest to smallest enrichment score:
 enrichment_output %<>%
   mutate("enrichment_score" = pmax(0, enrichment_score)) %>%
diff --git a/sandbox/anvi-script-fix-homopolymer-indels b/sandbox/anvi-script-fix-homopolymer-indels
index e9d601600e..30f77b892c 100755
--- a/sandbox/anvi-script-fix-homopolymer-indels
+++ b/sandbox/anvi-script-fix-homopolymer-indels
@@ -250,7 +250,7 @@ class RefBasedHomopolymerINDELCorrector:
         blast.makedb(dbtype='nucl')
         blast.num_threads = self.num_threads
         blast.max_target_seqs = 1
-        blast.blast(outputfmt=5)
+        blast.blast(outputfmt='5')
 
 
     def parse_blast_output(self):
diff --git a/sandbox/anvi-script-gen-genomes-file b/sandbox/anvi-script-gen-genomes-file
index 1078a309b3..f948c037bd 100755
--- a/sandbox/anvi-script-gen-genomes-file
+++ b/sandbox/anvi-script-gen-genomes-file
@@ -70,10 +70,6 @@ def main(args):
 
         int_genomes_dict = {}
         for bin_name in sorted(collections.collections_dict[args.collection_name]['bin_names'].split(',')):
-            # if there is a prefix, update the bin_name variable:
-            if args.name_prefix:
-                bin_name = str(args.name_prefix) + str(bin_name)
-
             int_genomes_dict[bin_name] = {}
             int_genomes_dict[bin_name]['bin_id'] = bin_name
             int_genomes_dict[bin_name]['collection_id'] = args.collection_name
@@ -110,12 +106,7 @@ def main(args):
 
         ext_genomes_dict = {}
         for contigs_db in contigs_dbs:
-            if args.name_prefix:
-                genome_name = str(args.name_prefix) + str(contigs_db.project_name)
-            else:
-                genome_name = contigs_db.project_name
-
-            ext_genomes_dict[genome_name] = {'contigs_db_path': os.path.abspath(contigs_db.path)}
+            ext_genomes_dict[contigs_db.project_name] = {'contigs_db_path': os.path.abspath(contigs_db.path)}
 
         utils.store_dict_as_TAB_delimited_file(ext_genomes_dict, args.output_file, key_header='name')
 
@@ -130,6 +121,7 @@ if __name__ == '__main__':
     groupA = parser.add_argument_group("EXTERNAL GENOMES", "Provide a directory, and anvi'o will provide an external genomes "
                                                            "file containing all contigs dbs in that directory.")
     groupA.add_argument(*anvio.A('input-dir'), **anvio.K('input-dir'))
+    groupA.add_argument(*anvio.A('include-subdirs'), **anvio.K('include-subdirs'))
 
     groupB = parser.add_argument_group("INTERNAL GENOMES", "Provide a contigs db, profile db, and collection name and anvi'o "
                                                            "will bestow upon you an internal genomes file for that collection.")
@@ -138,14 +130,8 @@ if __name__ == '__main__':
     groupB.add_argument(*anvio.A('collection-name'), **anvio.K('collection-name'))
 
 
-    groupC = parser.add_argument_group("CONVENIENCE", "Various parameters to make your life easier")
-    groupC.add_argument(*anvio.A('include-subdirs'), **anvio.K('include-subdirs'))
-    groupC.add_argument(*anvio.A('name-prefix'), **anvio.K('name-prefix', {'help': "By default, anvi'o will learn the names "
-                                "the genome names from contigs databases and set them up in the genomes file accordingly. "
-                                "Using this parameter you can ask anvi'o to set a prefix to those names."}))
-
-    groupD = parser.add_argument_group("OUTPUT", "Path for your internal or external genomes file")
-    groupD.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
+    groupC = parser.add_argument_group("OUTPUT", "Path for your internal or external genomes file")
+    groupC.add_argument(*anvio.A('output-file'), **anvio.K('output-file'))
 
     args = parser.get_args(parser)
 
diff --git a/sandbox/anvi-script-permute-trnaseq-seeds b/sandbox/anvi-script-permute-trnaseq-seeds
new file mode 100755
index 0000000000..3947c94ac3
--- /dev/null
+++ b/sandbox/anvi-script-permute-trnaseq-seeds
@@ -0,0 +1,190 @@
+#!/usr/bin/env python
+# -*- coding: utf-8
+
+import sys
+
+import anvio
+import anvio.dbops as dbops
+import anvio.terminal as terminal
+import anvio.filesnpaths as filesnpaths
+
+from functools import partial
+from itertools import combinations, product
+
+from anvio.dbinfo import DBInfo
+from anvio.argparse import ArgumentParser
+from anvio.errors import ConfigError, FilesNPathsError
+
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2021, the Meren Lab (http://merenlab.org/)"
+__credits__ = []
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__maintainer__ = "Samuel Miller"
+__email__ = "samuelmiller10@gmail.com"
+__requires__ = ['contigs-db', 'profile-db']
+__provides__ = ['contigs-fasta']
+__description__ = ("This script generates a FASTA file of tRNA-seq seeds "
+                   "with permuted nucleotides at positions of predicted modification-induced substitutions. "
+                   "The underlying nucleotide without modification is not always the most common base call. "
+                   "The resulting FASTA file can be queried against a database of tRNA genes "
+                   "to validate nucleotides at modified positions and find the most similar sequences.")
+
+
+run = terminal.Run()
+progress = terminal.Progress()
+pp = terminal.pretty_print
+
+
+def main(args):
+    contigs_db_path = args.contigs_db
+    profile_db_path = args.specific_profile_db
+    fasta_path = args.contigs_fasta
+    min_nt_freq = args.min_nt_frequency
+    max_var_positions = args.max_variable_positions
+    overwrite_out_dest = args.overwrite_output_destinations
+
+    contigs_db_info = DBInfo(contigs_db_path, expecting='contigs')
+    if contigs_db_info.variant != 'trnaseq':
+        raise ConfigError("The provided contigs database must be a 'trnaseq' variant. "
+                          f"Yours was a '{contigs_db_info.variant}' variant.")
+
+    profile_db_info = DBInfo(profile_db_path, expecting='profile')
+    if profile_db_info.variant != 'trnaseq':
+        raise ConfigError("The provided profile database must be a 'trnaseq' variant. "
+                          f"Yours was a '{profile_db_info.variant}' variant.")
+
+    filesnpaths.is_output_file_writable(fasta_path, ok_if_exists=overwrite_out_dest)
+
+
+    with contigs_db_info.load_db() as contigs_db:
+        contig_names_seqs = contigs_db.get_table_as_list_of_tuples('contig_sequences')
+
+    with profile_db_info.load_db() as profile_db:
+        var_nts_gb = get_var_nts_gb(profile_db)
+
+    fasta = open(fasta_path, 'w')
+    write_entries_to_fasta = partial(write_entries, fasta=fasta)
+    get_var_nts_dict_with_min_nt_freq = partial(get_var_nts_dict, min_nt_freq=min_nt_freq)
+
+    seed_count = -1
+    seed_total = len(contig_names_seqs)
+    permut_seq_count = 0
+    max_permut_seq_count = 0
+    progress.new("Writing output")
+    for contig_name, contig_seq in contig_names_seqs:
+        seed_count += 1
+        if seed_count % 100 == 0:
+            progress.update(f"{seed_count}/{seed_total} seeds")
+
+        try:
+            contig_var_nts_df = var_nts_gb.get_group(contig_name)
+        except KeyError:
+            write_entries_to_fasta(contig_name, contig_seq)
+            continue
+
+        var_nts_dict = get_var_nts_dict_with_min_nt_freq(contig_var_nts_df)
+        if not var_nts_dict:
+            write_entries_to_fasta(contig_name, contig_seq)
+            continue
+
+        permut_contigs_info = get_permut_contigs_info(var_nts_dict, max_var_positions, contig_seq)
+
+        remove_orig_contig(permut_contigs_info, contig_seq)
+        permut_seq_count += len(permut_contigs_info)
+        max_permut_seq_count = max(len(permut_contigs_info), max_permut_seq_count)
+        write_entries_to_fasta(contig_name, contig_seq, permut_contigs_info=permut_contigs_info)
+    progress.end()
+
+    run.info("Mean permuted seqs per contig", round(permut_seq_count / seed_total, 1))
+    run.info("Max permuted seqs from a contig", pp(max_permut_seq_count))
+
+
+def get_var_nts_gb(profile_db):
+    var_nts_df = profile_db.get_table_as_dataframe('variable_nucleotides', columns_of_interest=['split_name', 'pos', 'A', 'C', 'G', 'T'])
+    var_nts_df['contig_name'] = var_nts_df['split_name'].apply(lambda s: s.split('_split_00001')[0])
+    var_nts_df = var_nts_df.drop('split_name', axis=1)
+    var_nts_df = var_nts_df.set_index('contig_name')
+    return var_nts_df.groupby('contig_name')
+
+
+def get_var_nts_dict(contig_var_nts_df, min_nt_freq):
+    var_nts_dict = {}
+    for pos, contig_var_nts_df in contig_var_nts_df.set_index('pos').groupby('pos', sort=False):
+        total_nts_df = contig_var_nts_df.sum(axis=0)
+        total_nts_freq_series = total_nts_df / total_nts_df.sum()
+        total_nts_series = total_nts_df[total_nts_freq_series > min_nt_freq]
+        total_nts_series = total_nts_series.loc[~total_nts_series.index.isin([total_nts_series.idxmax()])]
+
+        if len(total_nts_series) == 0:
+            continue
+
+        var_nts_dict[pos] = tuple(total_nts_series.index)
+    return var_nts_dict
+
+
+def write_entries(contig_name, contig_seq, fasta, permut_contigs_info=None):
+    fasta.write(f">{contig_name}|\n{contig_seq}\n")
+    if not permut_contigs_info:
+        return
+    for contig_seq, permut_positions, permut_nts in permut_contigs_info:
+        fasta.write(f">{contig_name}|{'_'.join([str(permut_pos) + permut_nt for permut_pos, permut_nt in zip(permut_positions, permut_nts)])}\n{contig_seq}\n")
+
+
+def get_permut_contigs_info(var_nts_dict, max_var_positions, contig_seq):
+    permut_contigs_info = []
+    for num_var_positions in range(1, min(len(var_nts_dict), max_var_positions) + 1):
+        permut_combos = combinations(var_nts_dict, num_var_positions)
+        for permut_positions in permut_combos:
+            for permut_nts in product(*[var_nts_dict[pos] for pos in permut_positions]):
+                permut_contig_seq = contig_seq
+                for pos, nt in zip(permut_positions, permut_nts):
+                    permut_contig_seq = permut_contig_seq[: pos] + nt + permut_contig_seq[pos + 1: ]
+                permut_contigs_info.append((permut_contig_seq, tuple(permut_positions), tuple(permut_nts)))
+    return permut_contigs_info
+
+
+def remove_orig_contig(permut_contigs_info, contig_seq):
+    orig_index = None
+    for i, permut_contig_info in enumerate(permut_contigs_info):
+        if permut_contig_info[0] == contig_seq:
+            orig_index = i
+            break
+    if orig_index is None:
+        return False
+    permut_contigs_info.pop(orig_index)
+    return True
+
+
+if __name__ == '__main__':
+    parser = ArgumentParser()
+
+    parser.add_argument_group('MANDATORY')
+    parser.add_argument(*anvio.A('contigs-db'), **anvio.K('contigs-db'))
+    parser.add_argument(*anvio.A('specific-profile-db'), **anvio.K('specific-profile-db'))
+    parser.add_argument(*anvio.A('contigs-fasta'),
+                        **anvio.K('contigs-fasta', {'help': 'FASTA file to generate'}))
+
+    parser.add_argument_group('OPTIONAL')
+    parser.add_argument('-n', '--min-nt-frequency',
+                        metavar='FLOAT', type=float,
+                        default=0.05,
+                        help="For a position in a contig, this is the minimum nucleotide frequency, summed across all samples, "
+                             "required for the nucleotide to be substituted in permuted sequences.")
+    parser.add_argument('-x', '--max-variable-positions',
+                        metavar='INT', type=int,
+                        default=5,
+                        help="The maximum number of modified positions that can be permuted at once in a contig.")
+    parser.add_argument(*anvio.A('overwrite-output-destinations'), **anvio.K('overwrite-output-destinations'))
+
+    args = parser.parse_args()
+
+    try:
+        main(args)
+    except ConfigError as e:
+        print(e)
+        sys.exit(-1)
+    except FilesNPathsError as e:
+        print(e)
+        sys.exit(-2)
diff --git a/sandbox/anvi-script-pfam-accessions-to-hmms-directory b/sandbox/anvi-script-pfam-accessions-to-hmms-directory
index 147523442f..5a45fde5c2 100755
--- a/sandbox/anvi-script-pfam-accessions-to-hmms-directory
+++ b/sandbox/anvi-script-pfam-accessions-to-hmms-directory
@@ -86,7 +86,7 @@ def main(args):
         data_dict[pfam_accession] = {}
         data_dict[pfam_accession]['ga'] = get_attribute_from_hmm_file(fp, 'GA ')
         data_dict[pfam_accession]['gene'] = get_attribute_from_hmm_file(fp, 'NAME')
-        data_dict[pfam_accession]['accession'] = pfam_accession
+        data_dict[pfam_accession]['accession'] = get_attribute_from_hmm_file(fp, 'ACC')
         data_dict[pfam_accession]['temp_file_path'] = fp
     progress.end()
 
diff --git a/sandbox/anvi-script-reformat-fasta b/sandbox/anvi-script-reformat-fasta
index 6875cad4d6..bdc3c427f2 100755
--- a/sandbox/anvi-script-reformat-fasta
+++ b/sandbox/anvi-script-reformat-fasta
@@ -2,6 +2,7 @@
 # -*- coding: utf-8
 
 import sys
+import shutil
 
 import pandas as pd
 
@@ -19,7 +20,7 @@ __copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
 __credits__ = []
 __license__ = "GPL 3.0"
 __version__ = anvio.__version__
-__authors__ = ['meren']
+__authors__ = ['meren', 'ekiefl']
 __requires__ = ["fasta"]
 __provides__ = ["contigs-fasta"]
 __description__ =  ("Reformat FASTA file (remove contigs based on length, or based on a given list of "
@@ -28,6 +29,7 @@ __description__ =  ("Reformat FASTA file (remove contigs based on length, or bas
 
 run = terminal.Run()
 progress = terminal.Progress()
+pp = terminal.pretty_print
 
 
 def reformat_FASTA(args):
@@ -39,8 +41,23 @@ def reformat_FASTA(args):
                           f"and longer than {args.min_len} at the same time. It just doesn't make "
                           f"any sense and that's why.")
 
-    filesnpaths.is_output_file_writable(args.output_file)
+    if args.output_file and args.overwrite_input:
+        raise ConfigError("You can't ask anvi'o to overwrite your input file, and also provide an "
+                          "output file name at the same time.")
+
+    if not args.overwrite_input and not args.output_file:
+        raise ConfigError("You have not provided an output file name. If you are feeling extra "
+                          "adventurous today and would like anvi'o to overwrite your input file "
+                          "you must use the `--overwrite` flag.")
+
+    # if the user wants to overwrite the input file, we will do it by first
+    # setting the output file path to a temp file, and then moving it on
+    # top of the input file, overwriting it forever.
+    if args.overwrite_input:
+       args.output_file = filesnpaths.get_temp_file_path()
+
     filesnpaths.is_file_exists(args.contigs_fasta)
+    filesnpaths.is_output_file_writable(args.output_file)
 
     report_file = open(args.report_file, 'w') if args.report_file and args.simplify_names else None
     prefix = args.prefix if args.prefix else None
@@ -76,16 +93,13 @@ def reformat_FASTA(args):
     if args.export_gap_counts_table:
         gaps_info_list = []
 
-    output = u.FastaOutput(args.output_file)
-    fasta = u.SequenceSource(args.contigs_fasta)
-
+    # summary of where we are
     run.info('Input', args.contigs_fasta)
-    run.info('Output', args.output_file)
-    if args.exact_length:
-        run.info('Exact length', args.exact_length, mc="red")
+
+    if args.overwrite_input:
+        run.info('Output', "(anvi'o will overwrite your input file)", mc='red')
     else:
-        run.info('Minimum length', args.min_len)
-    run.info('Max % gaps allowed', '%.2f%%' % args.max_percentage_gaps)
+        run.info('Output', args.output_file)
 
     total_num_nucleotides = 0
     total_num_contigs = 0
@@ -93,6 +107,9 @@ def reformat_FASTA(args):
     total_num_nucleotides_modified = 0
     total_num_contigs_removed = 0
 
+    output = u.FastaOutput(args.output_file)
+    fasta = u.SequenceSource(args.contigs_fasta)
+
     while next(fasta):
         l = len(fasta.seq)
 
@@ -119,7 +136,12 @@ def reformat_FASTA(args):
             total_num_contigs_removed += 1
             continue
 
-        if len(fasta.seq) < args.min_len:
+        length = len(fasta.seq)
+        if args.exact_length and length != args.exact_length:
+            total_num_nucleotides_removed += l
+            total_num_contigs_removed += 1
+            continue
+        elif length < args.min_len:
             total_num_nucleotides_removed += l
             total_num_contigs_removed += 1
             continue
@@ -163,64 +185,96 @@ def reformat_FASTA(args):
     fasta.close()
     output.close()
 
+    if args.overwrite_input:
+        shutil.move(args.output_file, args.contigs_fasta)
+
+    run.warning(None, header='WHAT WAS THERE', lc="cyan")
     run.info('Total num contigs', total_num_contigs)
     run.info('Total num nucleotides', total_num_nucleotides)
-    run.info('Contigs removed', '%d (%.2f%% of all)' % (total_num_contigs_removed, total_num_contigs_removed * 100.0 / total_num_contigs), mc='green')
-    run.info('Nucleotides removed', '%d (%.2f%% of all)' % (total_num_nucleotides_removed, total_num_nucleotides_removed * 100.0 / total_num_nucleotides), mc='green')
-    run.info('Nucleotides modified', '%d (%.2f%% of all)' % (total_num_nucleotides_modified, total_num_nucleotides_modified * 100.0 / total_num_nucleotides), mc='green')
+
+    run.warning(None, header='WHAT WAS ASKED', lc="cyan")
+    run.info('Simplify deflines?', "Yes" if args.simplify_names else "No")
+    run.info('Add prefix to sequence names?', f"Yes, add '{args.prefix}'" if args.prefix else "No")
+    run.info('Exact length of contigs to keep', args.exact_length, mc="red") if args.exact_length else run.info("Minimum length of contigs to keep", args.min_len)
+    run.info('Max % gaps allowed', '%.2f%%' % args.max_percentage_gaps)
+    run.info('Max num gaps allowed', args.max_gaps)
+    run.info('Exclude specific sequences?', f"Yes, those listed in {args.exclude_ids}" if args.exclude_ids else "No")
+    run.info('Keep specific sequences?', f"Yes, those listed in {args.keep_ids}" if args.keep_ids else "No")
+    run.info('Enforce sequence type?', f"Yes, enforce '{args.seq_type}'" if args.seq_type else "No")
+
+    run.warning(None, header='WHAT HAPPENED', lc="cyan")
+    run.info('Contigs removed', f'{pp(total_num_contigs_removed)} ({total_num_contigs_removed * 100.0 / total_num_contigs:.2f}% of all)', mc='green')
+    run.info('Nucleotides removed', f'{pp(total_num_nucleotides_removed)} ({total_num_nucleotides_removed * 100.0 / total_num_nucleotides:.2f}% of all)', mc='green')
+    run.info('Nucleotides modified', f'{pp(total_num_nucleotides_modified)} ({total_num_nucleotides_modified * 100.0 / total_num_nucleotides:.5f}% of all)', mc='green')
     run.info('Deflines simplified', args.simplify_names, mc='green')
 
+    if args.overwrite_input:
+        run.info_single("The contents of your input file have changed because you used "
+                        "the flag `--overwrite-input`.", nl_before=1, nl_after=1)
+
 
 if __name__ == '__main__':
     from anvio.argparse import ArgumentParser
     parser = ArgumentParser(description=__description__)
 
-    parser.add_argument('contigs_fasta', metavar='FASTA FILE')
-    parser.add_argument('-l', '--min-len', type=int, default=0, metavar='INT',
+    groupA = parser.add_argument_group('INPUT', 'The input file you wish to work with.')
+    groupA.add_argument('contigs_fasta', metavar='FASTA FILE')
+
+    groupB = parser.add_argument_group('OUTPUT', 'Dealing with the output.')
+    groupB.add_argument('-o', '--output-file', required=False, metavar='FASTA FILE PATH',
+                        help="Output file path for a NEW FASTA file. If you want all changes to be "
+                             "stored in the same file, see the `--overwrite` flag.")
+    groupB.add_argument('--overwrite-input', default=False, action="store_true",
+                        help="Instead of reporting a new file, overwrite the input file. For those of "
+                             "us who loves to live life at the very edge of it. A case of we can't go "
+                             "back, Kate.")
+    groupB.add_argument('-r', '--report-file', required=False, metavar='TXT FILE PATH',
+                        help="When you run this program with `--simplify-names` flag, all changes to "
+                             "deflines will be reported in this file in case you need to go back to this "
+                             "information later. It is not mandatory to declare one, but it is a very good "
+                             "idea to have it.")
+
+    groupC = parser.add_argument_group('OPERATIONS: RENAME YOUR DEFLINES')
+    groupC.add_argument('--simplify-names', default=False, action="store_true",
+                        help="Edit deflines to make sure they contigs have simple names.")
+    groupC.add_argument('--prefix', default=None, metavar="PREFIX",
+                        help="Use this parameter if you would like to add a prefix to your contig\
+                              names while simplifying them. The prefix must be a single word (you\
+                              can use underscor character, but nothing more!).")
+
+    groupD = parser.add_argument_group('OPERATIONS: TAME YOUR SEQUENCES')
+    groupD.add_argument('-l', '--min-len', type=int, default=0, metavar='INT',
                         help="Minimum length of contigs to keep (contigs shorter than this value\
                               will not be included in the output file). The default is %(default)d,\
                               so nothing will be removed if you do not declare a minimum size.")
-    parser.add_argument('--exact-length', type=int, default=None, metavar='INT',
+    groupD.add_argument('--exact-length', type=int, default=None, metavar='INT',
                         help="Exact lenght of the sequences you wish to keep from a FASTA fille. Why \
                               would anyone need that? Anvi'o does not know. But there you have it. This \
                               parameter is indeed incompatible with a lot of others, such as `--min-len`.")
-    parser.add_argument('--max-percentage-gaps', type=float, default=100, metavar='PERCENTAGE',
+    groupD.add_argument('--max-percentage-gaps', type=float, default=100, metavar='PERCENTAGE',
                         help="Maximum fraction of gaps in a sequence (any sequence with \
                               more gaps will be removed from the output FASTA file). The \
                               default is %(default)f.")
-    parser.add_argument('-M','--max-gaps', type=float, default=1000000,
+    groupD.add_argument('-M','--max-gaps', type=float, default=1000000,
                         help="Maximum amount of gaps allowed per sequence in the alignment. \
                               Don't know which threshold to pick? Use --export-gap-counts-table \
                               to explore the gap counts per sequence distribution!")
-    parser.add_argument('-i', '--exclude-ids', required=False, metavar='TXT FILE',
+    groupD.add_argument('-i', '--exclude-ids', required=False, metavar='TXT FILE',
                         help="IDs to remove from the FASTA file. You cannot provide both\
                               --keep-ids and --exclude-ids.")
-    parser.add_argument('--export-gap-counts-table', required=False, metavar='TSV FILE',
+    groupD.add_argument('--export-gap-counts-table', required=False, metavar='TSV FILE',
                         help="Export a table with the number of gaps per sequence. \
                               Please provide a prefix to name the file.")
-    parser.add_argument('-I', '--keep-ids', type=str, required=False, metavar='TXT FILE',
+    groupD.add_argument('-I', '--keep-ids', type=str, required=False, metavar='TXT FILE',
                         help="If provided, all IDs not in this file will be excluded from the\
                               reformatted FASTA file. Any additional filters (such as --min-len)\
                               will still be applied to the IDs in this file. You cannot provide both\
                               --exclude-ids and --keep-ids.")
-    parser.add_argument('-o', '--output-file', required=True, metavar='FASTA FILE',
-                        help="Output file path.")
-    parser.add_argument('--simplify-names', default=False, action="store_true",
-                        help="Edit deflines to make sure they contigs have simple names.")
-    parser.add_argument('--prefix', default=None, metavar="PREFIX",
-                        help="Use this parameter if you would like to add a prefix to your contig\
-                              names while simplifying them. The prefix must be a single word (you\
-                              can use underscor character, but nothing more!).")
-    parser.add_argument('--seq-type', default=None, metavar="SEQ TYPE", choices={'AA', 'NT'},
+    groupD.add_argument('--seq-type', default=None, metavar="SEQ TYPE", choices={'AA', 'NT'},
                         help=("Supply either 'NT' or 'AA' (if you want). If 'NT', any characters besides {A,C,T,G} will "
                               "by replaced with 'N'. If 'AA', any characters that are not 1-letter amino acid "
                               "characters will be replaced with 'X'. If you don't supply anything, no charaters will be "
                               "modified."))
-    parser.add_argument('-r', '--report-file', required=False, metavar='REPORT FILE',
-                        help="Report file path. When you run this program with `--simplify-names`\
-                              flag, all changes to deflines will be reported in this file\
-                              in case you need to go back to this information later. It is not\
-                              mandatory to declare one, but it is a very good idea to have it.")
 
     args = parser.get_args(parser)
 

From 541bfe0a050592ad47f648216336d5e6763cba88 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 3 Aug 2022 23:53:42 -0700
Subject: [PATCH 0763/1020] purge files removed from master

---
 anvio/data/misc/AUTHORS/AUTHORS.yaml          | 301 ------------------
 .../misc/AUTHORS/AVATARS/AstrobioMike.jpg     | Bin 31496 -> 0 bytes
 .../misc/AUTHORS/AVATARS/FlorianTrigodet.jpg  | Bin 501574 -> 0 bytes
 .../data/misc/AUTHORS/AVATARS/Jessica-Pan.png | Bin 1494234 -> 0 bytes
 .../data/misc/AUTHORS/AVATARS/ShaiberAlon.jpg | Bin 342412 -> 0 bytes
 anvio/data/misc/AUTHORS/AVATARS/adw96.jpg     | Bin 254993 -> 0 bytes
 .../data/misc/AUTHORS/AVATARS/bio-simroux.jpg | Bin 154363 -> 0 bytes
 anvio/data/misc/AUTHORS/AVATARS/bio-xabi.jpg  | Bin 160782 -> 0 bytes
 .../data/misc/AUTHORS/AVATARS/efogarty11.jpg  | Bin 407010 -> 0 bytes
 anvio/data/misc/AUTHORS/AVATARS/ekiefl.jpg    | Bin 411085 -> 0 bytes
 .../data/misc/AUTHORS/AVATARS/isaacfink21.png | Bin 797335 -> 0 bytes
 anvio/data/misc/AUTHORS/AVATARS/ivagljiva.jpg | Bin 484500 -> 0 bytes
 .../misc/AUTHORS/AVATARS/mahmoudyousef98.jpg  | Bin 367629 -> 0 bytes
 .../AUTHORS/AVATARS/matthewlawrenceklein.jpg  | Bin 627259 -> 0 bytes
 anvio/data/misc/AUTHORS/AVATARS/meren.jpg     | Bin 640904 -> 0 bytes
 .../data/misc/AUTHORS/AVATARS/mooreryan.jpeg  | Bin 20671 -> 0 bytes
 anvio/data/misc/AUTHORS/AVATARS/mschecht.jpg  | Bin 481292 -> 0 bytes
 anvio/data/misc/AUTHORS/AVATARS/no-avatar.png | Bin 771761 -> 0 bytes
 anvio/data/misc/AUTHORS/AVATARS/ozcan.jpg     | Bin 410758 -> 0 bytes
 anvio/data/misc/AUTHORS/AVATARS/qclayssen.jpg | Bin 430712 -> 0 bytes
 .../data/misc/AUTHORS/AVATARS/semiller10.jpg  | Bin 413292 -> 0 bytes
 anvio/data/misc/AUTHORS/AVATARS/watsonar.jpg  | Bin 613413 -> 0 bytes
 .../programs/anvi-convert-trnaseq-database.md |  23 --
 anvio/tests/run_alons_classifier_tests.sh     |  81 -----
 anvio/tests/run_contigs_workflow_tests.sh     |  33 --
 anvio/tests/run_display_functions_tests.sh    |  26 --
 anvio/tests/run_gen_gene_level_stats_tests.sh |  41 ---
 anvio/tests/run_indel_test.sh                 |  75 -----
 anvio/tests/run_manual_interactive.sh         |  47 ---
 anvio/tests/run_metabolism_tests.sh           |  93 ------
 .../tests/run_metagenomics_workflow_tests.sh  |  56 ----
 .../run_metapangenomics_workflow_tests.sh     |  32 --
 anvio/tests/run_mini_test.sh                  |  83 -----
 anvio/tests/run_pangenome_tests.sh            | 201 ------------
 anvio/tests/run_pangenomics_workflow_tests.sh |  46 ---
 .../tests/run_phylogenomics_workflow_tests.sh |  30 --
 ...scg_taxonomy_consensus_processing_tests.py | 100 ------
 anvio/tests/run_structure_mock.sh             | 210 ------------
 anvio/tests/run_trnaseq_tests.sh              |  50 ---
 anvio/tests/run_variability_mock.sh           | 222 -------------
 anvio/tests/run_workflows_tests.sh            |   8 -
 .../sandbox/mock_data_for_pangenomics/01.db   | Bin 425984 -> 0 bytes
 .../sandbox/mock_data_for_pangenomics/02.db   | Bin 425984 -> 0 bytes
 .../sandbox/mock_data_for_pangenomics/03.db   | Bin 425984 -> 0 bytes
 anvio/tests/test-mcg-classifier/config.json   |   2 -
 .../mcg-classifier.snakefile                  | 108 -------
 anvio/tests/unit/test_Read_class.py           | 164 ----------
 bin/anvi-convert-trnaseq-database             |  62 ----
 48 files changed, 2094 deletions(-)
 delete mode 100644 anvio/data/misc/AUTHORS/AUTHORS.yaml
 delete mode 100644 anvio/data/misc/AUTHORS/AVATARS/AstrobioMike.jpg
 delete mode 100644 anvio/data/misc/AUTHORS/AVATARS/FlorianTrigodet.jpg
 delete mode 100644 anvio/data/misc/AUTHORS/AVATARS/Jessica-Pan.png
 delete mode 100644 anvio/data/misc/AUTHORS/AVATARS/ShaiberAlon.jpg
 delete mode 100644 anvio/data/misc/AUTHORS/AVATARS/adw96.jpg
 delete mode 100644 anvio/data/misc/AUTHORS/AVATARS/bio-simroux.jpg
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 delete mode 100644 anvio/data/misc/AUTHORS/AVATARS/efogarty11.jpg
 delete mode 100644 anvio/data/misc/AUTHORS/AVATARS/ekiefl.jpg
 delete mode 100644 anvio/data/misc/AUTHORS/AVATARS/isaacfink21.png
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 delete mode 100644 anvio/data/misc/AUTHORS/AVATARS/mahmoudyousef98.jpg
 delete mode 100644 anvio/data/misc/AUTHORS/AVATARS/matthewlawrenceklein.jpg
 delete mode 100644 anvio/data/misc/AUTHORS/AVATARS/meren.jpg
 delete mode 100644 anvio/data/misc/AUTHORS/AVATARS/mooreryan.jpeg
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 delete mode 100644 anvio/data/misc/AUTHORS/AVATARS/watsonar.jpg
 delete mode 100644 anvio/docs/programs/anvi-convert-trnaseq-database.md
 delete mode 100755 anvio/tests/run_alons_classifier_tests.sh
 delete mode 100755 anvio/tests/run_contigs_workflow_tests.sh
 delete mode 100755 anvio/tests/run_display_functions_tests.sh
 delete mode 100755 anvio/tests/run_gen_gene_level_stats_tests.sh
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 delete mode 100755 anvio/tests/run_manual_interactive.sh
 delete mode 100755 anvio/tests/run_metabolism_tests.sh
 delete mode 100755 anvio/tests/run_metagenomics_workflow_tests.sh
 delete mode 100755 anvio/tests/run_metapangenomics_workflow_tests.sh
 delete mode 100755 anvio/tests/run_mini_test.sh
 delete mode 100755 anvio/tests/run_pangenome_tests.sh
 delete mode 100755 anvio/tests/run_pangenomics_workflow_tests.sh
 delete mode 100755 anvio/tests/run_phylogenomics_workflow_tests.sh
 delete mode 100644 anvio/tests/run_scg_taxonomy_consensus_processing_tests.py
 delete mode 100755 anvio/tests/run_structure_mock.sh
 delete mode 100755 anvio/tests/run_trnaseq_tests.sh
 delete mode 100755 anvio/tests/run_variability_mock.sh
 delete mode 100755 anvio/tests/run_workflows_tests.sh
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/01.db
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/02.db
 delete mode 100644 anvio/tests/sandbox/mock_data_for_pangenomics/03.db
 delete mode 100644 anvio/tests/test-mcg-classifier/config.json
 delete mode 100644 anvio/tests/test-mcg-classifier/mcg-classifier.snakefile
 delete mode 100644 anvio/tests/unit/test_Read_class.py
 delete mode 100755 bin/anvi-convert-trnaseq-database

diff --git a/anvio/data/misc/AUTHORS/AUTHORS.yaml b/anvio/data/misc/AUTHORS/AUTHORS.yaml
deleted file mode 100644
index c66983fa8f..0000000000
--- a/anvio/data/misc/AUTHORS/AUTHORS.yaml
+++ /dev/null
@@ -1,301 +0,0 @@
-- github: meren
-  name: A. Murat Eren (Meren)
-  twitter: merenbey
-  web: http://meren.org
-  avatar: meren.jpg
-  email: a.murat.eren@gmail.com
-  linkedin: meren
-  orcid: 0000-0001-9013-4827
-  skype: a.murat.eren
-  bio: "I am a computer scientist with a deep appreciation for the complexity of life. I design algorithms and experiments to better understand microbes and their ecology."
-  affiliations:
-    - title: Professor
-      inst: Helmholtz Institute for Functional Marine Biodiversity at Oldenburg
-      inst_link: https://hifmb.de
-      current: true
-    - title: Professor
-      inst: Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research
-      inst_link: https://awi.de
-      current: true
-    - title: Professor
-      inst: Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg
-      inst_link: https://uol.de/icbm
-      current: true
-    - title: Fellow
-      inst: Marine Biological Laboratory
-      inst_link: http://www.mbl.edu/
-      current: true
-    - title: Fellow
-      inst: Alfred P. Sloan Fondation
-      inst_link: https://sloan.org/grant-detail/9260
-    - title: Assistant Professor
-      inst: The Department of Medicine at the University of Chicago
-      inst_link: http://medicine.uchicago.edu/
-    - title: Committee on Microbiology
-      inst: The Biomedical Sciences Cluster at the University of Chicago
-      inst_link: https://biomedsciences.uchicago.edu/
-    - title: Post-doctoral Scientist
-      inst: Marine Biological Laboratory
-      inst_link: https://mbl.edu
-
-- github: FlorianTrigodet
-  name: Florian Trigodet
-  email: trigodet.florian@gmail.com
-  twitter: FlorianTrigodet
-  orcid: 0000-0002-4933-2896
-  linkedin: florian-trigodet-67b351b4
-  avatar: FlorianTrigodet.jpg
-  bio: "I am a microbiologist by training, and as a postdoctoral researcher I am using advanced computational strategies to make sense of the microbial ecology of complex habitats."
-  affiliations:
-    - title: Post-doctoral Scientist
-      inst: The Department of Medicine at the University of Chicago
-      inst_link: http://medicine.uchicago.edu/
-
-- github: watsonar
-  name: Andrea Watson
-  email: andreawatson@uchicago.edu
-  linkedin: andrea-rose-watson-82079a61
-  orcid: 0000-0003-0128-6795
-  twitter: awatsontxt
-  avatar: watsonar.jpg
-  bio: "I am interested in combining wet lab and computational methods in a complementary way to answer microbiological questions."
-  affiliations:
-    - title: Graduate Student
-      inst: Committee on Microbiology at the University of Chicago
-      inst_link: https://biomedsciences.uchicago.edu/page/microbiology
-
-- github: ekiefl
-  name: Evan Kiefl
-  twitter: evankiefl
-  linkedin: evan-kiefl-825985b7
-  orcid: 0000-0002-6473-0921
-  email: kiefl.evan@gmail.com
-  avatar: ekiefl.jpg
-  bio: "Computational biologist and software developer. For my PhD I studied how selective pressures shape the evolution of proteins in naturally occurring microbial populations."
-  intellectual-contributions:
-    - contribution: "Spearheaded the development of protein structure prediction, analysis, and visualization capabilities within anvi'o"
-    - contribution: "Redesigned mission-critical code related to metagenomic workflows, decreasing compute times from >100 hours to <1 hour for terabyte-scale analyses"
-    - contribution: "Made significant contributions to the overall health and maintenance of the codebase through code reviews, performance refactoring, feature implementation, and issue diagnosis"
-    - contribution: "Made significant contributions to the storage, processing, and analysis strategies related to single nucleotide variants (SNVs), single codon variants (SCVs), single amino acid variants (SAAVs), and insertions/deletions (INDELs)"
-    - contribution: "Made significant contributions to documentation, totaling >3,000 lines of codebase documentation and >20,000 words of blogs/tutorials/workflows"
-  affiliations:
-    - title: Bioinformatician
-      inst: AbCellera
-      inst_link: https://www.abcellera.com/
-      current: true
-    - title: Graduate Student
-      inst: The Biophysical Sciences Program at the University of Chicago
-      inst_link: http://biophysics.uchicago.edu/
-
-- github: mschecht
-  name: Matthew Schechter
-  email: mschechter@uchicago.edu
-  avatar: mschecht.jpg
-  linkedin: matthewschechter
-  orcid: 0000-0002-8435-3203
-  twitter: mschecht_bio
-  bio: "I am interested in combining comparative genomics and environmental metagenomics to identify genetic determinants of fitness in microbial populations in the human gut and ocean microbiome."
-  affiliations:
-    - title: Graduate Student
-      inst: Committee on Microbiology at the University of Chicago
-      inst_link: https://biomedsciences.uchicago.edu/page/microbiology
-
-- github: ivagljiva
-  name: Iva Veseli
-  email: iveseli@uchicago.edu
-  orcid: 0000-0003-2390-528
-  linkedin: iva-veseli
-  avatar: ivagljiva.jpg
-  bio: "I am a computer scientist/biologist who leverages computational methods to explore biological data. Currently, I am studying microbial metabolism in environmental metagenomes."
-  affiliations:
-    - title: Graduate Student
-      inst: The Biophysical Sciences Program at the University of Chicago
-      inst_link: http://biophysics.uchicago.edu/
-    - title: Fellow
-      inst: NSF Graduate Research Fellowship Program
-      inst_link: https://www.nsfgrfp.org/
-
-- github: moritzbuck
-  name: Moritz Buck
-  email: moritz.buck@slu.se
-  twitter: MetaMoritz
-  affiliations:
-    - title: Researcher
-      inst: Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences
-      inst_link: https://www.slu.se/en/departments/aquatic-sciences-assessment/
-
-- github: semiller10
-  name: Samuel Miller
-  email: samuelmiller@uchicago.edu
-  orcid: 0000-0002-2836-1401
-  twitter: smiller_science
-  web: https://semiller10.github.io
-  avatar: semiller10.jpg
-  bio: "I study how microbes function in their environments by developing and applying computational tools to interpret data from approaches such as tRNA-sequencing, proteomics, and metagenomics."
-  affiliations:
-    - title: Post-doctoral Scientist
-      inst: The Department of Medicine at the University of Chicago
-      inst_link: http://medicine.uchicago.edu/
-
-- github: isaacfink21
-  name: Isaac Fink
-  email: iafink@uchicago.edu
-  avatar: isaacfink21.png
-  orcid: 0000-0003-3930-029X
-  bio: "I am interested in enhancing the power and accessibility of computational tools that analyze the microbiome."
-  affiliations:
-    - title: Undergraduate Student
-      inst: Computer Science
-      inst_link: http://collegecatalog.uchicago.edu/thecollege/computerscience/
-
-- github: matthewlawrenceklein
-  name: Matthew Lawrence Klein
-  web: http://matthewlawrencekle.in
-  linkedin: matthew-lawrence-klein
-  email: mtt.l.kln@gmail.com
-  avatar: matthewlawrenceklein.jpg
-  bio: "I am interested in technology's role in supporting a more equitable future on planet earth."
-  affiliations:
-    - title: Programmer
-      inst: The Department of Medicine at the University of Chicago
-      inst_link: http://medicine.uchicago.edu/
-
-- github: blankenberg
-  name: Daniel Blankenberg
-  email: blanked2@ccf.org
-  affiliations:
-    - title: Faculty Member
-      inst: Genomic Medicine Institute at the Cleveland Clinic Lerner Research Institute
-      inst_link: http://www.lerner.ccf.org/gmi/
-
-- github: Jessica-Pan
-  name: Jessica Pan
-  email: jnpan@mit.edu
-  avatar: Jessica-Pan.png
-  orcid: 0000-0002-6743-6146
-  bio: "I am interested in using computational strategies to investigate microbial ecosystems and working to make those techniques more accessible to others."
-  affiliations:
-    - title: Undergraduate Student
-      inst: Massachusetts Institute of Technology
-      inst_link: http://web.mit.edu/
-
-- github: ShaiberAlon
-  name: Alon Shaiber
-  email: alon.shaiber@gmail.com
-  twitter: alon_shaiber
-  orcid: 0000-0002-4806-9280
-  linkedin: alon-shaiber
-  skype: alon.shaiber
-  avatar: ShaiberAlon.jpg
-  bio: "I'm a graduate student in the Bio Physical Sciences Program at UChicago. I'm fascinated by the complexity of microbial ecology and interested in applying and developing computational tools to explore it."
-  affiliations:
-    - title: Graduate Student
-      inst: The Biophysical Sciences Program at the University of Chicago
-      inst_link: http://biophysics.uchicago.edu/
-
-- github: ozcan
-  name: Özcan C. Esen
-  email: ozcanesen@gmail.com
-  twitter: ozcanesen
-  avatar: ozcan.jpg
-  web: http://blog.ozcanesen.com/
-  bio: "As a computer engineer I strive to utilize my expertise to investigate challenges in microbial ecology, metagenomics, and visualization of complex data."
-
-- github: mahmoudyousef98
-  name: Mahmoud Yousef
-  avatar: mahmoudyousef98.jpg
-  email: mahmoudyousef@uchicago.edu
-  linkedin: mahmoud-yousef-314198128/
-  bio: "I am interested in exploring the intersection of bioinformatics and medicine, and how bioinformatic techniques can be used to advance the quality of medicine."
-  affiliations:
-     - title: Undergraduate Student
-       inst: Department of Computer Science at the University of Chicago
-       inst_link: https://www.cs.uchicago.edu/
-
-- github: qclayssen
-  name: Quentin Clayssen
-  email: quentin.clayssen@gmail.com
-  linkedin: quentin-clayssen-398360139
-  twitter: ClayssenQ
-  avatar: qclayssen.jpg
-  bio: "I am a microbiologist and a bioinformatician in training interested in metagenomics. I currently am focusing on approaches for rapid placement of metagenome-assembled genomes into the tree of life."
-
-- github: srinidhi202
-  name: Srinidhi Varadharajan
-  email: srinidhi.varadharajan@bcm.edu
-  orcid: 0000-0002-2033-0758
-  affiliations:
-    - title: Programmer
-      inst: Baylor College of Medicine
-      inst_link: https://www.bcm.edu/
-
-- github: adw96
-  avatar: adw96.jpg
-  name: Amy D. Willis
-  email: adwillis@uw.edu
-  web: http://statisticaldiversitylab.com/team/amy-willis
-  linkedin: none
-  twitter: AmyDWillis
-  orcid: 0000-0002-2802-4317
-  bio: "My lab and I develop statistical and computational methods for the analysis of biodiversity data, with a particular focus on the microbiome. Like the Meren lab, I'm passionate about reproducible science, meaningful data analysis, ecosystem and host health, outreach and education, and collaborating with scientists who share these values."
-  affiliations:
-    - title: Principal Investigator
-      inst: Statistical Diversity Lab, University of Washington
-      inst_link: http://statisticaldiversitylab.com/
-    - title: Assistant Professor
-      inst: Department of Biostatistics, University of Washington
-      inst_link: https://www.biostat.washington.edu/
-
-- github: mooreryan
-  avatar: mooreryan.jpeg
-  name: Ryan Moore
-  email: moorer@udel.edu
-  linkedin: ryan-moore-444a21b5
-  twitter: TenderIsTheByte
-  affiliations:
-    - title: Graduate Student (Wommack Lab)
-      inst: Center for Bioinformatics and Comp Bio, University of Delaware
-      inst_link: https://bioinformatics.udel.edu/
-
-- github: efogarty11
-  name: Emily Fogarty
-  email: efogarty@uchicago.edu
-  orcid: 0000-0002-8957-9922
-  avatar: efogarty11.jpg
-  bio: "I am interested in developing computational and wet lab strategies to study horizontal gene transfer in the human gut microbiome."
-  affiliations:
-    - title: Graduate Student
-      inst: Committee on Microbiology at the University of Chicago
-      inst_link: https://biomedsciences.uchicago.edu/page/microbiology
-
-- github: AstrobioMike
-  name: Mike Lee
-  avatar: AstrobioMike.jpg
-  email: michael.lee0517@gmail.com
-  web: https://astrobiomike.github.io
-  twitter: AstrobioMike
-  linkedin: AstrobioMike
-  affiliations:
-    - title: NASA Space Biology Fellow
-      inst: NASA Ames Research Center
-      inst_link: https://www.nasa.gov/ames
-    - title: JCVI Research Fellow
-      inst: J. Craig Venter Institute
-      inst_link: https://www.jcvi.org/
-
-- github: nick-youngblut
-  name: Nick Youngblut
-  bio: "Microbiologist studying methanogens and host-microbiome coevolution"
-  avatar: youngblut.jpg
-  email: nyoungb2@gmail.com
-  web: https://leylab.com/research/ecology-and-evolution-of-host-associated-methanogens-youngblut-group/
-  twitter: nick_youngblut
-  linkedin: nicholas-youngblut
-  orcid: 0000-0002-7424-5276
-  intellectual-contributions:
-    - contribution: "Spearheaded the implementation of GitHub actions for automated component tests"
-  affiliations:
-    - title: Group Leader in the Department of Microbiome Science
-      inst: Max Planck Institute for Biology
-      inst_link: http://eb.tuebingen.mpg.de/
-      current: true
diff --git a/anvio/data/misc/AUTHORS/AVATARS/AstrobioMike.jpg b/anvio/data/misc/AUTHORS/AVATARS/AstrobioMike.jpg
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diff --git a/anvio/docs/programs/anvi-convert-trnaseq-database.md b/anvio/docs/programs/anvi-convert-trnaseq-database.md
deleted file mode 100644
index c9bfba659a..0000000000
--- a/anvio/docs/programs/anvi-convert-trnaseq-database.md
+++ /dev/null
@@ -1,23 +0,0 @@
-This program converts one or more %(trnaseq-db)ss into a %(contigs-db)s and %(profile-db)s, forming tRNA seed sequences in the process.
-
-After %(anvi-trnaseq)s is run on a set of samples (or sample splits) from an experiment, the resulting sample databases are analyzed by this program. The %(contigs-db)s and %(profile-db)s generated by this program can be displayed and analyzed like other 'omics data in anvi'o.
-
-As with %(anvi-trnaseq)s, we encourage you to read through the options in the `anvi-convert-trnaseq-database --help` menu, since the various analyses occurring within this program can be manipulated by the user. Most of the heavy lifting occurred in %(anvi-trnaseq)s, meaning that `anvi-convert-trnaseq-database` can easily be run multiple times in a matter of minutes to find, for example, the appropriate number of tRNA seed sequences to display (by adjusting `--max-reported-trna-seeds`) and the necessary coverage cutoffs to isolate positions with modified nucleotides from unfiltered single nucleotide variants (by adjusting `--min-third-fourth-nt`).
-
-
-### Convert two samples
-
-{{ codestart }}
-anvi-convert-trnaseq-database example_trnaseq_database_1 example_trnaseq_database_2 \
-                              -o example_empty_output_directory_path
-                              -n example_project_name
-{{ codestop }}
-
-### Convert two sample splits, assigning priority to the demethylase split in calling the underlying nucleotide at modified positions
-
-{{ codestart }}
-anvi-convert-trnaseq-database example_untreated_trnaseq_database example_demethylase_trnaseq_database \
-                              -o example_empty_output_directory_path
-                              -n example_project_name
-                              --preferred-treatment demethylase
-{{ codestop }}
diff --git a/anvio/tests/run_alons_classifier_tests.sh b/anvio/tests/run_alons_classifier_tests.sh
deleted file mode 100755
index e557569001..0000000000
--- a/anvio/tests/run_alons_classifier_tests.sh
+++ /dev/null
@@ -1,81 +0,0 @@
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-# Setting the folder where the files are
-files=$files/mock_files_for_alons_classifier
-
-INFO "Initializing raw BAM files"
-# init raw bam files.
-for f in 41 62 74 75 79 94
-do
-    anvi-init-bam $files/HMP00$f-RAW.bam --output-file $output_dir/HMP00$f.bam
-    echo
-done
-
-INFO "Generating the TEST contigs database"
-anvi-gen-contigs-database -f $files/TEST.fa -o $output_dir/CONTIGS.db
-
-# profiling generates individual directiorues uner $output_dir directory for each sample.
-for f in 41 62 74 75 79 94
-do
-    INFO "Profiling sample SAMPLE-$f"
-    anvi-profile -i $output_dir/HMP00$f.bam -o $output_dir/HMP00$f -c $output_dir/CONTIGS.db --skip-SNV-profiling
-    echo
-done
-
-
-INFO "Merging profiles"
-anvi-merge $output_dir/HMP00*/PROFILE.db -o $output_dir/SAMPLES-MERGED -c $output_dir/CONTIGS.db --skip-concoct-binning
-
-INFO "Importing collection"
-anvi-import-collection -c $output_dir/CONTIGS.db -p $output_dir/SAMPLES-MERGED/PROFILE.db $files/TEST-COLLECTION.txt -C TEST
-
-# INFO "Run anvi-mcg-classifier on PROFILE database"
-# anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db -c $output_dir/CONTIGS.db -O $output_dir/TEST-ALL
-
-#INFO "Running anvi-mcg-classifier on TAB-delimited files (no PROFILE database)"
-#anvi-mcg-classifier -d $output_dir/TEST-ALL-gene-coverages.txt -D $output_dir/TEST-ALL-gene-detections.txt -O $output_dir/TEST-ALL-TAB-delim
-
-INFO "Running anvi-mcg-classifier on a collection"
-anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db -c $output_dir/CONTIGS.db -O $output_dir/TEST-ALL-BINS -C TEST
-
-INFO "Running anvi-mcg-classifier on a bin"
-anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db -c $output_dir/CONTIGS.db -O $output_dir/TEST-Bin_1 -C TEST -b Bin_1
-
-INFO "Running anvi-mcg-classifier on a bin with samples to exclude"
-anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db -c $output_dir/CONTIGS.db -O $output_dir/TEST-Bin_exclude -C TEST -b Bin_1 --exclude-samples $files/samples_to_exclude.txt
-
-INFO "Running anvi-mcg-classifier on a bin with samples to include"
-anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db -c $output_dir/CONTIGS.db -O $output_dir/TEST-Bin_include -C TEST -b Bin_1 --include-samples $files/samples_to_include.txt
-
-INFO "Summarizing collection TEST with --init-gene-coverages"
-anvi-summarize -p $output_dir/SAMPLES-MERGED/PROFILE.db -c $output_dir/CONTIGS.db -C TEST -o $output_dir/SAMPLES-MERGED-SUMMARY --init-gene-coverages
-
-INFO "A round of dry run to get the profile db created for Bin_1"
-anvi-interactive -p $output_dir/mock_profile_Bin_1.db \
-                 -d $output_dir/SAMPLES-MERGED-SUMMARY/bin_by_bin/Bin_1/Bin_1-gene_coverages.txt \
-                 --manual \
-                 --dry-run
-
-INFO "Importing a default state into newly generated profile database"
-anvi-import-state -p $output_dir/mock_profile_Bin_1.db \
-                  --state $files/default.json \
-                  --name default
-
-INFO "Importing MCG data for Bin 1 into the ad hoc profile database"
-anvi-import-misc-data $output_dir/TEST-Bin_1-additional-layers.txt \
-                      -p $output_dir/mock_profile_Bin_1.db \
-                      -t items
-anvi-import-misc-data $output_dir/TEST-Bin_1-samples-information.txt \
-                      -p $output_dir/mock_profile_Bin_1.db \
-                      -t layers
-
-INFO "Firing up the interactive interface for genes in Bin 1"
-anvi-interactive -p $output_dir/mock_profile_Bin_1.db \
-                 -d $output_dir/SAMPLES-MERGED-SUMMARY/bin_by_bin/Bin_1/Bin_1-gene_coverages.txt \
-                 --title "Alon's gene classifier" \
-                 --manual
diff --git a/anvio/tests/run_contigs_workflow_tests.sh b/anvio/tests/run_contigs_workflow_tests.sh
deleted file mode 100755
index fbcef91940..0000000000
--- a/anvio/tests/run_contigs_workflow_tests.sh
+++ /dev/null
@@ -1,33 +0,0 @@
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-INFO "Setting up the pan analysis directory"
-mkdir $output_dir/workflow_test
-cp $files/mock_data_for_pangenomics/*.fa $output_dir/workflow_test/
-cp $files/workflows/contigs/* $output_dir/workflow_test/
-cd $output_dir/workflow_test
-
-INFO "compressing sample 1"
-gzip 01.fa
-
-INFO "Creating a default config for contigs workflow"
-anvi-run-workflow -w contigs --get-default-config default-config.json
-
-INFO "Listing dependencies for contigs workflow"
-anvi-run-workflow -w contigs -c default-config.json --list-dependencies
-
-INFO "Saving a workflow graph"
-anvi-run-workflow -w contigs -c default-config.json --save-workflow-graph
-
-INFO "Running contigs workflow with a dry-run"
-anvi-run-workflow -w contigs -c default-config.json --dry-run
-
-INFO "Running contigs workflow"
-anvi-run-workflow -w contigs -c default-config.json
-
-INFO "Examine contigs databases with anvi-display-contigs-stats"
-anvi-display-contigs-stats 02_CONTIGS/*db
diff --git a/anvio/tests/run_display_functions_tests.sh b/anvio/tests/run_display_functions_tests.sh
deleted file mode 100755
index e1a10a8d42..0000000000
--- a/anvio/tests/run_display_functions_tests.sh
+++ /dev/null
@@ -1,26 +0,0 @@
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-INFO "Setting up the metabolism test directory"
-mkdir $output_dir/functions_display
-cp $files/data/genomes/bacteria/*.db                    $output_dir/functions_display
-cp $files/data/genomes/archaea/*.db                     $output_dir/functions_display
-cp $files/data/input_files/external-genomes.txt         $output_dir/functions_display
-cp $files/data/input_files/groups.txt                   $output_dir/functions_display
-cd $output_dir/functions_display
-
-INFO "Running anvi-display-functions without groups"
-anvi-display-functions -e external-genomes.txt \
-                       --annotation-source COG20_FUNCTION \
-                       -p COG20_FUNCTION.db \
-                       --dry
-
-INFO "Running anvi-display-functions with groups"
-anvi-display-functions -e external-genomes.txt \
-                       --groups groups.txt \
-                       --annotation-source COG20_FUNCTION \
-                       -p COG20_FUNCTION_W_GROUPS.db
diff --git a/anvio/tests/run_gen_gene_level_stats_tests.sh b/anvio/tests/run_gen_gene_level_stats_tests.sh
deleted file mode 100755
index 434f12380d..0000000000
--- a/anvio/tests/run_gen_gene_level_stats_tests.sh
+++ /dev/null
@@ -1,41 +0,0 @@
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-# Set INSEQ files path
-inseq_files=$files/example_files_for_inseq_tnseq
-
-cp $inseq_files/CONTIGS.db $output_dir/CONTIGS.db
-cp $inseq_files/PROFILE.db $output_dir/PROFILE.db
-cp $inseq_files/AUXILIARY-DATA.db $output_dir/AUXILIARY-DATA.db
-
-INFO "Migrate all dbs"
-anvi-migrate $output_dir/*db --migrate-quickly
-
-# Generate gene-level-stats database
-INFO "Computing gene level stats database"
-anvi-gen-gene-level-stats-databases -p $output_dir/PROFILE.db \
-                                    -c $output_dir/CONTIGS.db \
-                                    -C DEFAULT -b EVERYTHING
-
-# Delete the GENE database
-rm -r $output_dir/GENES/
-
-# Compute INSeq stats database
-INFO "Computing INSeq stats database"
-anvi-gen-gene-level-stats-databases -p $output_dir/PROFILE.db \
-                                    -c $output_dir/CONTIGS.db  \
-                                    -C DEFAULT \
-                                    -b EVERYTHING \
-                                    --inseq-stats \
-                                    --just-do-it
-
-# Visualize the bin in gene-mode:
-anvi-interactive -p $output_dir/PROFILE.db \
-                 -c $output_dir/CONTIGS.db  \
-                 -C DEFAULT \
-                 -b EVERYTHING \
-                 --gene-mode
diff --git a/anvio/tests/run_indel_test.sh b/anvio/tests/run_indel_test.sh
deleted file mode 100755
index 0774431aae..0000000000
--- a/anvio/tests/run_indel_test.sh
+++ /dev/null
@@ -1,75 +0,0 @@
-#!/bin/bash
-source 00.sh
-set -e
-
-INFO "Creating the output directory"
-# change directory and clean the old mess if it exists
-cd sandbox
-rm -rf test-output
-mkdir test-output
-mkdir test-output/small
-mkdir test-output/large
-
-INFO "Anvo'o version"
-anvi-profile --version
-
-#########################################################
-
-INFO "Generating a Bowtie2 ref"
-bowtie2-build files_for_indel_testing/small/contig.fa test-output/small/contig
-
-INFO "Generating anvi'o contigs database"
-anvi-gen-contigs-database -f files_for_indel_testing/small/contig.fa -o test-output/small/contig.db -L -1 -n "Contig" --skip-gene-calling
-
-INFO "Generating short reads for sample $sample"
-anvi-script-gen-short-reads files_for_indel_testing/small/sample.ini --output-file-path test-output/small/sample.fa
-
-INFO "Mapping short reads to the ref"
-../misc/bowtie_batch_single_fasta.sh test-output/small/sample.fa test-output/small/sample test-output/small/contig
-
-INFO "Profiling the BAM file"
-anvi-profile -i test-output/small/sample.bam -c test-output/small/contig.db -o test-output/small/sample-PROFILE -M 0 --cluster-contigs
-
-INFO "Importing the state"
-anvi-import-state -s files_for_indel_testing/small/sample.json -p test-output/small/sample-PROFILE/PROFILE.db -n default
-
-INFO "Visualizing the profile"
-anvi-interactive -c test-output/small/contig.db -p test-output/small/sample-PROFILE/PROFILE.db
-
-#########################################################
-
-INFO "Generating a Bowtie2 ref"
-bowtie2-build files_for_indel_testing/large/contig.fa test-output/large/contig
-bowtie2-build files_for_indel_testing/large/contig_T300del.fa test-output/large/contig_T300del
-
-INFO "Generating anvi'o contigs database"
-anvi-gen-contigs-database -f files_for_indel_testing/large/contig.fa -o test-output/large/contig.db -L -1 -n "No del" --skip-gene-calling
-anvi-gen-contigs-database -f files_for_indel_testing/large/contig_T300del.fa -o test-output/large/contig_T300del.db -L -1 -n "T300del" --skip-gene-calling
-
-INFO "Generating short reads for sample $sample"
-anvi-script-gen-short-reads files_for_indel_testing/large/sample.ini --output-file-path test-output/large/sample.fa
-anvi-script-gen-short-reads files_for_indel_testing/large/sample_T300del.ini --output-file-path test-output/large/sample_T300del.fa
-
-INFO "Mapping short reads to the ref"
-../misc/bowtie_batch_single_fasta.sh test-output/large/sample.fa test-output/large/sample test-output/large/contig
-../misc/bowtie_batch_single_fasta.sh test-output/large/sample_T300del.fa test-output/large/sample_T300del test-output/large/contig_T300del
-
-INFO "Mapping short reads onto opposite ref"
-../misc/bowtie_batch_single_fasta.sh test-output/large/sample.fa test-output/large/sample_norm_on_del test-output/large/contig_T300del
-../misc/bowtie_batch_single_fasta.sh test-output/large/sample_T300del.fa test-output/large/sample_del_on_norm test-output/large/contig
-
-INFO "Profiling the BAM files"
-anvi-profile -i test-output/large/sample.bam             -c test-output/large/contig.db         -o test-output/large/sample-PROFILE -M 0 --cluster-contigs
-anvi-profile -i test-output/large/sample_del_on_norm.bam -c test-output/large/contig.db         -o test-output/large/sample-PROFILE_del_on_norm -M 0 --cluster-contigs
-
-anvi-profile -i test-output/large/sample_T300del.bam     -c test-output/large/contig_T300del.db -o test-output/large/sample-PROFILE_T300del -M 0 --cluster-contigs
-anvi-profile -i test-output/large/sample_norm_on_del.bam -c test-output/large/contig_T300del.db -o test-output/large/sample-PROFILE_norm_on_del -M 0 --cluster-contigs
-
-INFO "Profiling the BAM files"
-anvi-merge test-output/large/sample-PROFILE/PROFILE.db test-output/large/sample-PROFILE_del_on_norm/PROFILE.db -c test-output/large/contig.db -o test-output/large/MERGED --skip-concoct-binning
-anvi-merge test-output/large/sample-PROFILE_T300del/PROFILE.db test-output/large/sample-PROFILE_norm_on_del/PROFILE.db -c test-output/large/contig_T300del.db -o test-output/large/MERGED_T300del --skip-concoct-binning
-
-INFO "Visualizing the profile"
-anvi-interactive -c test-output/large/contig.db -p test-output/large/MERGED/PROFILE.db
-anvi-interactive -c test-output/large/contig_T300del.db -p test-output/large/MERGED_T300del/PROFILE.db
-
diff --git a/anvio/tests/run_manual_interactive.sh b/anvio/tests/run_manual_interactive.sh
deleted file mode 100755
index 4a77ffaca1..0000000000
--- a/anvio/tests/run_manual_interactive.sh
+++ /dev/null
@@ -1,47 +0,0 @@
-#!/bin/bash
-source 00.sh
-set -e
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-for f in fasta.fa view_data.txt additional_view_data.txt samples-information.txt samples-order.txt
-do
-    cp $files/files_for_manual_interactive/$f $output_dir/
-done
-
-
-INFO "Generating a newick file from the data ..."
-anvi-matrix-to-newick $output_dir/view_data.txt \
-                      -o $output_dir/tree.txt
-
-INFO "Running a dry run to generate a profile database (to populate it with additional misc data)"
-anvi-interactive -d $output_dir/view_data.txt \
-                 --manual-mode \
-                 -p $output_dir/test.db \
-                 --dry-run
-
-INFO "Importing items additional data"
-anvi-import-misc-data -p $output_dir/test.db \
-                      $output_dir/additional_view_data.txt \
-                      -t items
-
-INFO "Importing layers additional data"
-anvi-import-misc-data -p $output_dir/test.db \
-                      $output_dir/samples-information.txt \
-                      -t layers
-
-INFO "Importing layer order data"
-anvi-import-misc-data -p $output_dir/test.db \
-                      $output_dir/samples-order.txt \
-                      -t layer_orders
-
-INFO "Running the interactive interface on files"
-anvi-interactive -f $output_dir/fasta.fa \
-                 -d $output_dir/view_data.txt \
-                 -p $output_dir/test.db \
-                 -t $output_dir/tree.txt \
-                 --title "Interactive Interface Without Anvi'o Files"\
-                 --manual-mode \
-                 $dry_run_controller
diff --git a/anvio/tests/run_metabolism_tests.sh b/anvio/tests/run_metabolism_tests.sh
deleted file mode 100755
index 63b26adcf5..0000000000
--- a/anvio/tests/run_metabolism_tests.sh
+++ /dev/null
@@ -1,93 +0,0 @@
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-INFO "Setting up the metabolism test directory"
-mkdir $output_dir/metabolism_test
-cp $files/data/genomes/bacteria/*.db                    $output_dir/metabolism_test
-cp $files/data/genomes/archaea/*.db                     $output_dir/metabolism_test
-cp $files/data/metagenomes/human_gut/IGD_SUBSET/*.db    $output_dir/metabolism_test
-cp $files/data/input_files/*.txt                        $output_dir/metabolism_test
-cd $output_dir/metabolism_test
-
-INFO "Estimating metabolism on a single contigs database"
-anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db -O single_contigs_db
-
-INFO "Estimating metabolism using metagenome mode"
-anvi-estimate-metabolism -c CONTIGS.db --metagenome-mode -O metagenome_mode
-
-INFO "Estimating metabolism on a collection"
-anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db -C bins_for_testing -O collection
-
-INFO "Estimating metabolism on a single bin in a collection"
-anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db -C bins_for_testing -b E_facealis -O single_bin
-
-INFO "Estimating metabolism using a bin IDs file"
-anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db -C bins_for_testing -B bin-ids.txt -O bin_ids_file
-
-INFO "Estimating metabolism on external genomes"
-anvi-estimate-metabolism -e external-genomes.txt -O external
-
-INFO "Estimating metabolism on internal genomes"
-anvi-estimate-metabolism -i internal-genomes.txt -O internal
-
-INFO "Estimating metabolism on metagenomes file"
-anvi-estimate-metabolism -M metagenomes.txt -O metagenomes
-
-INFO "Trying a different module completeness threshold"
-anvi-estimate-metabolism -c P_marinus_CCMP1375.db --module-completion-threshold 0 -O nondefault_threshold
-
-INFO "Listing output modes for single database"
-anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db --list-available-modes
-
-INFO "Listing output modes for multi mode"
-anvi-estimate-metabolism -e external-genomes.txt --list-available-modes
-
-INFO "Listing custom output headers for single database"
-anvi-estimate-metabolism -c B_thetaiotamicron_VPI-5482.db --list-available-output-headers
-
-INFO "Listing custom output headers for multi mode"
-anvi-estimate-metabolism -e external-genomes.txt --list-available-output-headers
-
-INFO "Generating long format output files on single database"
-anvi-estimate-metabolism -c P_marinus_CCMP1375.db --kegg-output-modes kofam_hits,modules,kofam_hits_in_modules,modules_custom --custom-output-headers kegg_module,module_is_complete,module_name -O long_format_single
-
-INFO "Generating long format output files in multi mode"
-anvi-estimate-metabolism -e external-genomes.txt --kegg-output-modes kofam_hits,modules,kofam_hits_in_modules -O long_format_multi
-
-# below we try every single header for modules_custom mode
-INFO "Generating modules custom output file on single database"
-anvi-estimate-metabolism -c P_marinus_CCMP1375.db --kegg-output-modes modules_custom -O modules_custom_single \
-    --custom-output-headers kegg_module,module_is_complete,module_completeness,module_name,module_class,module_category,module_subcategory,module_definition,gene_caller_ids_in_module,gene_caller_id,kofam_hits_in_module,kofam_hit,contig,path_id,path,path_completeness,genome_name
-
-INFO "Generating modules custom output file in multi mode"
-anvi-estimate-metabolism -e external-genomes.txt --kegg-output-modes modules_custom -O modules_custom_multi \
-    --custom-output-headers kegg_module,module_is_complete,module_completeness,module_name,module_class,module_category,module_subcategory,module_definition,gene_caller_ids_in_module,gene_caller_id,kofam_hits_in_module,kofam_hit,contig,path_id,path,path_completeness,genome_name,db_name
-
-INFO "Generating matrix output files in multi mode"
-anvi-estimate-metabolism -e external-genomes.txt --matrix-format -O matrix_format_multi
-
-INFO "Generating JSON output (debug option)"
-anvi-estimate-metabolism -c S_islandicus_LS215.db --get-raw-data-as-json estimation_data --store-json-without-estimation
-
-INFO "Estimating from JSON output (debug option)"
-anvi-estimate-metabolism --estimate-from-json estimation_data.json -O from_json
-
-INFO "Testing --add-coverage for genome mode"
-anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db -O genome_coverage --add-coverage --kegg-output-modes modules,kofam_hits_in_modules
-
-INFO "Testing --add-coverage flag for a collection"
-anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db -C bins_for_testing -O collection_coverage --add-coverage --kegg-output-modes modules,kofam_hits_in_modules
-
-INFO "Testing --add-coverage for metagenome mode"
-anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db --metagenome-mode -O metagenome_coverage --add-coverage --kegg-output-modes modules,kofam_hits_in_modules
-
-INFO "Listing custom output headers with --add-coverage enabled"
-anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db --add-coverage --list-available-output-headers
-
-INFO "Generating custom output with --add-coverage enabled"
-anvi-estimate-metabolism -c CONTIGS.db -p PROFILE.db --add-coverage --kegg-output-modes modules_custom -O modules_custom_coverage \
-    --custom-output-headers kegg_module,module_is_complete,DAY_15A_gene_coverages,DAY_15A_avg_coverage,DAY_15A_gene_detection,DAY_15A_avg_detection
diff --git a/anvio/tests/run_metagenomics_workflow_tests.sh b/anvio/tests/run_metagenomics_workflow_tests.sh
deleted file mode 100755
index 3742b90d87..0000000000
--- a/anvio/tests/run_metagenomics_workflow_tests.sh
+++ /dev/null
@@ -1,56 +0,0 @@
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-INFO "Setting up the metagenomics analysis directory"
-mkdir $output_dir/workflow_test
-cp -r $files/workflows/metagenomics/* $output_dir/workflow_test/
-cd $output_dir/workflow_test
-
-INFO "Creating a default config for metagenomics workflow"
-anvi-run-workflow -w metagenomics --get-default-config default-config.json
-
-INFO "List dependencies for metagenomics workflow with megahit"
-anvi-run-workflow -w metagenomics --config config-megahit.json --list-dependencies
-
-INFO "Running a dry run in references mode with no qc and no gzip"
-anvi-run-workflow -w metagenomics --config config-references-mode-no-qc-no-gzip-no-groups.json
-anvi-run-workflow -w metagenomics --config config-references-mode-no-qc-no-gzip-no-groups.json --save-workflow-graph
-
-INFO "Running a dry run for metagenomics workflow with megahit"
-anvi-run-workflow -w metagenomics --config config-megahit.json
-anvi-run-workflow -w metagenomics --config config-megahit.json --save-workflow-graph
-
-INFO "Running a dry run for metagenomics workflow with megahit with no qc"
-anvi-run-workflow -w metagenomics --config config-megahit-no-qc-all-against-all.json
-anvi-run-workflow -w metagenomics --config config-megahit-no-qc-all-against-all.json --save-workflow-graph
-
-INFO "List dependencies for metagenomics workflow in references mode"
-anvi-run-workflow -w metagenomics --config config-references-mode.json --list-dependencies
-
-INFO "Running a dry run in references mode"
-anvi-run-workflow -w metagenomics --config config-references-mode.json
-anvi-run-workflow -w metagenomics --config config-references-mode.json --save-workflow-graph
-
-INFO "List dependencies for metagenomics workflow with idba_ud"
-anvi-run-workflow -w metagenomics --config config-idba_ud.json --list-dependencies
-
-INFO "Running a dry run with idba_ud"
-anvi-run-workflow -w metagenomics --config config-idba_ud.json
-anvi-run-workflow -w metagenomics --config config-idba_ud.json --save-workflow-graph
-
-INFO "Running a dry run with idba_ud with no qc"
-anvi-run-workflow -w metagenomics --config config-idba_ud-no-qc.json --list-dependencies
-
-INFO "Running a dry run with metaspades using scaffolds"
-anvi-run-workflow -w metagenomics --config config-metaspades-no-qc-use-scaffolds.json
-anvi-run-workflow -w metagenomics --config config-metaspades-no-qc-use-scaffolds.json --save-workflow-graph
-anvi-run-workflow -w metagenomics --config config-metaspades-no-qc-use-scaffolds.json --list-dependencies
-
-INFO "Running a dry run with metaspades"
-anvi-run-workflow -w metagenomics --config config-metaspades.json
-anvi-run-workflow -w metagenomics --config config-metaspades.json --save-workflow-graph
-anvi-run-workflow -w metagenomics --config config-metaspades.json --list-dependencies
diff --git a/anvio/tests/run_metapangenomics_workflow_tests.sh b/anvio/tests/run_metapangenomics_workflow_tests.sh
deleted file mode 100755
index 70370fc3fa..0000000000
--- a/anvio/tests/run_metapangenomics_workflow_tests.sh
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-INFO "Setting up the pan analysis directory"
-mkdir $output_dir/workflow_test
-cp $files/mock_data_for_pangenomics/*.fa $output_dir/workflow_test/
-cp $files/mock_data_for_pangenomics/default-state.json        $output_dir/workflow_test/
-cp $files/workflows/contigs/fasta.txt $output_dir/workflow_test/
-cp $files/workflows/pangenomics/config.json $output_dir/workflow_test/
-cd $output_dir/workflow_test
-
-INFO "Creating a default config for metapangenomics workflow"
-anvi-run-workflow -w metapangenomics --get-default-config default-config.json
-exit
-INFO "Listing dependencies for pangenomics workflow"
-anvi-run-workflow -w pangenomics -c config.json --list-dependencies
-
-INFO "Saving a workflow graph"
-anvi-run-workflow -w pangenomics -c config.json --save-workflow-graph
-
-INFO "Running pangenomics workflow"
-anvi-run-workflow -w pangenomics -c config.json
-
-INFO "Importing default state for pangenome"
-anvi-import-state -p 03_PAN/TEST-PAN.db -s default-state.json -n default
-
-INFO "Vizualize pangenomic results"
-anvi-display-pan -g 03_PAN/TEST-GENOMES.db -p 03_PAN/TEST-PAN.db
diff --git a/anvio/tests/run_mini_test.sh b/anvio/tests/run_mini_test.sh
deleted file mode 100755
index bb78ff677e..0000000000
--- a/anvio/tests/run_mini_test.sh
+++ /dev/null
@@ -1,83 +0,0 @@
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-INFO "Initializing raw BAM files"
-# init raw bam files.
-for f in 01 02 03
-do
-    anvi-init-bam $files/SAMPLE-$f-RAW.bam --output-file $output_dir/SAMPLE-$f.bam
-    echo
-done
-
-INFO "Generating an EMPTY contigs database"
-anvi-gen-contigs-database -f $files/contigs.fa -o $output_dir/CONTIGS.db -L 1000 --project-name "Contigs DB for anvi'o mini self-test"
-
-INFO "Populating search tables in the latest contigs database using default HMM profiles"
-anvi-run-hmms -c $output_dir/CONTIGS.db --num-threads 2
-
-INFO "Importing gene function calls using 'interproscan' parser"
-anvi-import-functions -c $output_dir/CONTIGS.db -i $files/example_interpro_output.tsv -p interproscan
-
-INFO "Populating HMM hits tables in the latest contigs database using a mock HMM collection from an external directory"
-anvi-run-hmms -c $output_dir/CONTIGS.db -H $files/external_hmm_profile
-
-INFO "Contigs DB is ready; here are the tables in it:"
-sqlite3 $output_dir/CONTIGS.db '.tables'
-
-# for each sample, run the profiling using the same split size used for the contigs database.
-# profiling generates individual directiorues uner $output_dir directory for each sample.
-for f in 01 02 03
-do
-    INFO "Profiling sample SAMPLE-$f"
-    anvi-profile -i $output_dir/SAMPLE-$f.bam \
-                 -o $output_dir/SAMPLE-$f \
-                 -c $output_dir/CONTIGS.db \
-                 --cluster \
-                 --profile-SCVs \
-                 --display-db-calls
-
-    INFO "Importing short-read-level taxonomy for SAMPLE-$f"
-    anvi-import-taxonomy-for-layers -p $output_dir/SAMPLE-$f/PROFILE.db \
-                                    -i $files/example_files_for_kraken_hll_taxonomy/SAMPLE-$f.mpa \
-                                    --parser krakenuniq
-    echo
-done
-
-INFO "Merging profiles"
-# merge samples
-anvi-merge $output_dir/SAMPLE-*/PROFILE.db -o $output_dir/SAMPLES-MERGED -c $output_dir/CONTIGS.db --description $files/example_description.md
-
-INFO "Import layer additional data from file"
-anvi-import-misc-data $files/samples-information.txt \
-                      -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                      --target-data-table layers
-
-INFO "Import layer orders from file"
-anvi-import-misc-data $files/samples-order.txt \
-                      -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                      --target-data-table layer_orders
-
-INFO "Importing a state file into the merged profile"
-anvi-import-state -p $output_dir/SAMPLES-MERGED/PROFILE.db --state $files/example_state.json --name default
-
-INFO "Importing a collection file into the merged profile"
-anvi-import-collection -c $output_dir/CONTIGS.db \
-                       -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                       -C CONCOCT \
-                       $files/concoct_mini_test.txt
-
-INFO "Listing collections available"
-anvi-show-collections-and-bins -p $output_dir/SAMPLES-MERGED/PROFILE.db
-
-INFO "Firing up the interactive interface"
-# fire up the browser to show how does the merged samples look like.
-anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                 -c $output_dir/CONTIGS.db \
-                 $dry_run_controller
-
-INFO "Summarizing CONCOCT results"
-anvi-summarize -p $output_dir/SAMPLES-MERGED/PROFILE.db -c $output_dir/CONTIGS.db -o $output_dir/SAMPLES-MERGED-SUMMARY -C 'CONCOCT' --init-gene-coverages
diff --git a/anvio/tests/run_pangenome_tests.sh b/anvio/tests/run_pangenome_tests.sh
deleted file mode 100755
index 7bc1e96193..0000000000
--- a/anvio/tests/run_pangenome_tests.sh
+++ /dev/null
@@ -1,201 +0,0 @@
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-INFO "Setting up the pan analysis directory"
-mkdir -p $output_dir/
-cp $files/mock_data_for_pangenomics/*.db                      $output_dir/
-cp $files/mock_data_for_pangenomics/external-genomes.txt      $output_dir/
-cp $files/mock_data_for_pangenomics/example-gene-clusters-collection.txt $output_dir/
-cp $files/mock_data_for_pangenomics/scg-gene-clusters-for-phylogenomics.txt $output_dir/
-cp $files/mock_data_for_pangenomics/default-state.json        $output_dir/
-cp $files/example_description.md                              $output_dir/
-cp $files/mock_data_for_pangenomics/group-information.txt     $output_dir/
-cd $output_dir/
-
-INFO "Generating an anvi'o genomes storage"
-anvi-gen-genomes-storage -e external-genomes.txt \
-                         -o TEST-GENOMES.db \
-                         --no-progress
-
-INFO "Running the pangenome anaysis with default parameters"
-anvi-pan-genome -g TEST-GENOMES.db \
-                -o TEST/ \
-                -n TEST \
-                --use-ncbi-blast \
-                --description example_description.md \
-                --no-progress
-
-INFO "Running ANI on genomes and storing results in the PAN database"
-anvi-compute-genome-similarity -e external-genomes.txt \
-                               --program pyANI \
-                               -o ANI_TEST \
-                               --log-file ANI_LOG.txt \
-                               -p TEST/TEST-PAN.db \
-                               --no-progress
-
-INFO "Running the pangenome analysis again utilizing previous search results"
-anvi-pan-genome -g TEST-GENOMES.db \
-                -o TEST/ \
-                -n ANOTHER_TEST \
-                --use-ncbi-blast \
-                --min-occurrence 2 \
-                --description example_description.md \
-                --no-progress
-
-INFO "Importing collections of gene clusters"
-anvi-import-collection -p TEST/TEST-PAN.db \
-                       -C test_collection example-gene-clusters-collection.txt \
-                       --no-progress
-
-anvi-import-collection -p TEST/TEST-PAN.db \
-                       -C collection_for_phylogenomics scg-gene-clusters-for-phylogenomics.txt \
-                       --no-progress
-
-INFO "Exporting the collection 'test_collection'"
-anvi-export-collection -p TEST/TEST-PAN.db \
-                       -C test_collection \
-                       -O exported_collection \
-                       --include-unbinned \
-                       --no-progress
-
-INFO "List available aligners for aligning sequences in gene clusters"
-anvi-get-sequences-for-gene-clusters --list-aligners
-
-INFO "Exporting aligned amino acid sequences for some gene clusters"
-anvi-get-sequences-for-gene-clusters -p TEST/TEST-PAN.db \
-                                     -g TEST-GENOMES.db \
-                                     -C test_collection \
-                                     -b GENE_CLUSTER_BIN_1_CORE \
-                                     -o aligned_gene_sequences_in_GENE_CLUSTER_BIN_1_CORE_AA.fa \
-                                     --no-progress
-
-mkdir SPLIT_GENE_CLUSTER_FILES
-INFO "Exporting aligned amino acid sequences for some gene clusters as individual files"
-anvi-get-sequences-for-gene-clusters -p TEST/TEST-PAN.db \
-                                     -g TEST-GENOMES.db \
-                                     -C test_collection \
-                                     -b GENE_CLUSTER_BIN_1_CORE \
-                                     --split-output-per-gene-cluster \
-                                     -O SPLIT_GENE_CLUSTER_FILES/MY_PROJECT \
-                                     --no-progress
-
-INFO "Exporting aligned DNA sequences for some gene clusters"
-anvi-get-sequences-for-gene-clusters -p TEST/TEST-PAN.db \
-                                     -g TEST-GENOMES.db \
-                                     -C test_collection \
-                                     -b GENE_CLUSTER_BIN_1_CORE \
-                                     -o aligned_gene_sequences_in_GENE_CLUSTER_BIN_1_CORE_DNA.fa \
-                                     --report-DNA-sequences \
-                                     --no-progress
-
-INFO "First five line from the AA output"
-head -n 5 aligned_gene_sequences_in_GENE_CLUSTER_BIN_1_CORE_AA.fa
-
-INFO "First five line from the DNA output"
-head -n 5 aligned_gene_sequences_in_GENE_CLUSTER_BIN_1_CORE_DNA.fa
-
-INFO "Importing group information as misc data for layers"
-anvi-import-misc-data -p TEST/TEST-PAN.db \
-                      -t layers \
-                      group-information.txt \
-                      --no-progress
-
-INFO "Estimating enriched functions per pan group"
-anvi-compute-functional-enrichment-in-pan -p TEST/TEST-PAN.db \
-                                          -g TEST-GENOMES.db \
-                                          --category group \
-                                          --annotation-source COG20_FUNCTION \
-                                          -o functions-enrichment.txt \
-                                          -F functional-occurence.txt \
-                                          --no-progress
-SHOW_FILE functions-enrichment.txt
-SHOW_FILE functional-occurence.txt
-
-INFO "Exporting concatenated amino acid sequences for some SCG gene clusters for phylogenomics"
-anvi-get-sequences-for-gene-clusters -p TEST/TEST-PAN.db \
-                                     -g TEST-GENOMES.db \
-                                     -C collection_for_phylogenomics \
-                                     -b SCGs \
-                                     -o SOME_VARIABLE_SCGs.fa \
-                                     --concatenate-gene-clusters \
-                                     --no-progress
-
-INFO "Summarizing the pan, using the test collection (in quick mode)"
-anvi-summarize -p TEST/TEST-PAN.db \
-               -g TEST-GENOMES.db \
-               -C test_collection \
-               -o TEST_SUMMARY_QUICK \
-               --quick \
-               --no-progress
-
-INFO "Summarizing the pan, using the test collection"
-anvi-summarize -p TEST/TEST-PAN.db \
-               -g TEST-GENOMES.db \
-               -C test_collection \
-               -o TEST_SUMMARY \
-               --no-progress
-
-INFO "Splitting bins in the pan genome into smaller, self-contained pan databases"
-anvi-split -p TEST/TEST-PAN.db \
-           -g TEST-GENOMES.db \
-           -C test_collection \
-           -o TEST_SPLIT_PAN
-
-INFO "Resulting split pans"
-ls -l TEST_SPLIT_PAN/*/*db
-
-INFO "Taking a look at the make up one of the split pans"
-anvi-db-info TEST_SPLIT_PAN/GENE_CLUSTER_BIN_1_CORE/PAN.db
-
-INFO "Listing collections available"
-anvi-show-collections-and-bins -p TEST/TEST-PAN.db \
-                               --no-progress
-
-INFO "Computing homogeneity for a single gene cluster"
-anvi-compute-gene-cluster-homogeneity -p TEST/TEST-PAN.db \
-                                      -g TEST-GENOMES.db \
-                                      --gene-cluster-id GC_00000001 \
-                                      -o gene_cluster_homogeneity_results.txt \
-                                      --no-progress
-SHOW_FILE gene_cluster_homogeneity_results.txt
-
-INFO "Computing homogeneity for a list of gene clusters"
-echo -e "GC_00000001\nGC_00000003" > gene_clusters_for_homogeneity.txt
-anvi-compute-gene-cluster-homogeneity -p TEST/TEST-PAN.db \
-                                      -g TEST-GENOMES.db \
-                                      --gene-cluster-ids gene_clusters_for_homogeneity.txt \
-                                      -o gene_cluster_homogeneity_results.txt \
-                                      --no-progress
-SHOW_FILE gene_cluster_homogeneity_results.txt
-
-INFO "Computing homogeneity for gene clusters in a bin"
-anvi-compute-gene-cluster-homogeneity -p TEST/TEST-PAN.db \
-                                      -g TEST-GENOMES.db \
-                                      -C test_collection \
-                                      -b GENE_CLUSTER_BIN_2 \
-                                      -o gene_cluster_homogeneity_results.txt \
-                                      --num-threads 2 \
-                                      --no-progress
-SHOW_FILE gene_cluster_homogeneity_results.txt
-
-INFO "Importing the default state for pretty outputs"
-anvi-import-state -p TEST/TEST-PAN.db -s default-state.json -n default
-anvi-import-state -p TEST/ANOTHER_TEST-PAN.db -s default-state.json -n default
-
-INFO "Displaying the initial pangenome analysis results"
-anvi-display-pan -p TEST/TEST-PAN.db \
-                 -g TEST-GENOMES.db \
-                 --title "A mock pangenome analysis" \
-                 --no-progress \
-                 $dry_run_controller
-
-INFO "Displaying the second pangenome analysis results"
-anvi-display-pan -p TEST/ANOTHER_TEST-PAN.db \
-                 -g TEST-GENOMES.db \
-                 --title "A mock pangenome analysis (with --min-occurrence 2)" \
-                 --no-progress \
-                 $dry_run_controller
diff --git a/anvio/tests/run_pangenomics_workflow_tests.sh b/anvio/tests/run_pangenomics_workflow_tests.sh
deleted file mode 100755
index 56ad2a5bd6..0000000000
--- a/anvio/tests/run_pangenomics_workflow_tests.sh
+++ /dev/null
@@ -1,46 +0,0 @@
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-INFO "Setting up the pan analysis directory"
-mkdir $output_dir/workflow_test
-cp $files/mock_data_for_pangenomics/*.fa $output_dir/workflow_test/
-cp $files/mock_data_for_pangenomics/default-state.json        $output_dir/workflow_test/
-cp $files/workflows/pangenomics/fasta.txt $output_dir/workflow_test/
-cp $files/workflows/pangenomics/*.json $output_dir/workflow_test/
-cp -r $files/workflows/pangenomics/five* $output_dir/workflow_test/
-
-cd $output_dir/workflow_test
-
-INFO "Running pangenomics workflow with phylogeny based on hmms"
-anvi-run-workflow -w pangenomics -c pan-config-with-phylogeny-using-hmms.json
-
-INFO "Vizualize pangenomic results"
-anvi-display-pan -g 03_PAN_FIVE_PAN/FIVE_TEST-GENOMES.db -p 03_PAN_FIVE_PAN/FIVE_TEST-PAN.db
-
-INFO "Running pangenomics workflow with phylogeny based on gene clusters"
-anvi-run-workflow -w pangenomics -c pan-config-with-phylogeny.json
-
-INFO "Vizualize pangenomic results"
-anvi-display-pan -g 03_PAN_FIVE_PAN/FIVE_TEST-GENOMES.db -p 03_PAN_FIVE_PAN/FIVE_TEST-PAN.db
-
-INFO "Creating a default config for pangenomics workflow"
-anvi-run-workflow -w pangenomics --get-default-config default-config.json
-
-INFO "Listing dependencies for pangenomics workflow"
-anvi-run-workflow -w pangenomics -c config.json --list-dependencies
-
-INFO "Saving a workflow graph"
-anvi-run-workflow -w pangenomics -c config.json --save-workflow-graph
-
-INFO "Running pangenomics workflow"
-anvi-run-workflow -w pangenomics -c config.json
-
-INFO "Importing default state for pangenome"
-anvi-import-state -p 03_PAN/TEST-PAN.db -s default-state.json -n default
-
-INFO "Vizualize pangenomic results"
-anvi-display-pan -g 03_PAN/TEST-GENOMES.db -p 03_PAN/TEST-PAN.db
diff --git a/anvio/tests/run_phylogenomics_workflow_tests.sh b/anvio/tests/run_phylogenomics_workflow_tests.sh
deleted file mode 100755
index df529773ec..0000000000
--- a/anvio/tests/run_phylogenomics_workflow_tests.sh
+++ /dev/null
@@ -1,30 +0,0 @@
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-INFO "Setting up the pan analysis directory"
-mkdir $output_dir/workflow_test
-cp $files/workflows/phylogenomics/* $output_dir/workflow_test/
-cp -r $files/workflows/pangenomics/five* $output_dir/workflow_test/
-cd $output_dir/workflow_test
-
-INFO "Creating a default config for contigs workflow"
-anvi-run-workflow -w phylogenomics --get-default-config default-config.json
-
-INFO "Listing dependencies for phylogenomics workflow"
-anvi-run-workflow -w phylogenomics -c config.json --list-dependencies
-
-INFO "Saving a workflow graph"
-anvi-run-workflow -w phylogenomics -c config.json --save-workflow-graph
-
-INFO "Running phylogenomics workflow with a dry-run"
-anvi-run-workflow -w phylogenomics -c config.json --dry-run
-
-INFO "Running phylogenomics workflow"
-anvi-run-workflow -w phylogenomics -c config.json
-
-INFO "Display phylogenomic tree"
-anvi-interactive -t 01_PHYLOGENOMICS/TEST-proteins_GAPS_REMOVED.fa.contree -p manual.db --manual
diff --git a/anvio/tests/run_scg_taxonomy_consensus_processing_tests.py b/anvio/tests/run_scg_taxonomy_consensus_processing_tests.py
deleted file mode 100644
index 8ea8d4ed44..0000000000
--- a/anvio/tests/run_scg_taxonomy_consensus_processing_tests.py
+++ /dev/null
@@ -1,100 +0,0 @@
-# some tests for SCG taxonomy string processing
-
-import argparse
-
-import anvio.terminal as terminal
-import anvio.taxonomyops.scg as scgtaxonomyops
-
-levels_of_taxonomy = ["t_domain", "t_phylum", "t_class", "t_order", "t_family", "t_genus", "t_species"]
-
-c = scgtaxonomyops.PopulateContigsDatabaseWithSCGTaxonomy(argparse.Namespace(skip_sanity_check=True), run=terminal.Run(verbose=False))
-
-p = scgtaxonomyops.SCGTaxonomyEstimatorSingle(argparse.Namespace(skip_sanity_check=True, skip_init=True), run=terminal.Run(verbose=False))
-
-cX = lambda: c.get_consensus_hit(scg_raw_hits)
-cT = lambda level: cX()[level]
-
-def pX(scg_dict):
-    for i in scg_dict:
-        scg_dict[i]['tax_hash'] = scgtaxonomyops.HASH(scg_dict[i])
-    return p.get_consensus_taxonomy(scg_dict)
-
-pT = lambda level: pX(scg_dict)[level]
-
-
-#########################################
-
-scg_raw_hits = [{'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
-                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
-                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'}]
-
-assert cT('t_species') == 'G x'
-assert cT('t_genus') == 'F'
-
-#########################################
-
-scg_raw_hits = [{'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
-                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
-                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'T x'},
-                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'T x'}]
-
-assert cT('t_species') == None 
-assert cT('t_genus') == 'F'
-
-#########################################
-
-scg_raw_hits = [{'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
-                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
-                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'W', 't_species': 'T x'}]
-
-assert cT('t_species') == None 
-assert cT('t_genus') == None
-assert cT('t_family') == 'E' 
-
-#########################################
-
-scg_raw_hits = [{'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
-                {'percent_identity': 99.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
-                {'percent_identity': 99.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'W', 't_species': 'T x'}]
-
-assert cT('t_species') == 'G x'
-
-#########################################
-
-scg_raw_hits = [{'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
-                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
-                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': None},
-                {'percent_identity': 100.0, 't_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': None}]
-
-assert cT('t_species') == 'G x'
-
-
-#########################################
-
-scg_dict = {1: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
-            3: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'T x'}}
-
-assert pT('t_species') == None
-assert pT('t_genus') == 'F'
-
-#########################################
-
-scg_dict = {1: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
-            2: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
-            3: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'W', 't_species': 'T x'}}
-
-assert pT('t_species') == 'G x'
-
-#########################################
-
-scg_dict = {1: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
-            2: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'F', 't_species': 'G x'},
-            3: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'J', 't_genus': 'X', 't_species': 'J x'},
-            4: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'J', 't_genus': 'X', 't_species': 'J x'},
-            5: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'W', 't_species': 'T x'},
-            6: {'t_domain': 'A', 't_phylum': 'B', 't_class': 'C', 't_order': 'D', 't_family': 'E', 't_genus': 'W', 't_species': 'T x'}}
-
-assert pT('t_species') == None
-assert pT('t_genus') == None
-assert pT('t_family') == None
-assert pT('t_order') == 'D'
diff --git a/anvio/tests/run_structure_mock.sh b/anvio/tests/run_structure_mock.sh
deleted file mode 100755
index 615b642f8e..0000000000
--- a/anvio/tests/run_structure_mock.sh
+++ /dev/null
@@ -1,210 +0,0 @@
-#!/bin/bash
-source 00.sh
-set -e
-
-make_structure_db() {
-    anvi-gen-structure-database -c test-output/one_contig_five_genes.db \
-                                --gene-caller-ids 2,4 \
-                                --dump-dir test-output/RAW_MODELLER_OUTPUT \
-                                --output-db-path test-output/STRUCTURE.db \
-                                --very-fast \
-                                --debug \
-                                --num-threads 2 \
-                                --num-models 1
-}
-gen_var_profile1() {
-    anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
-                                 -c test-output/one_contig_five_genes.db \
-                                 -s test-output/STRUCTURE.db \
-                                 -C default \
-                                 -b bin1 \
-                                 --engine AA \
-                                 -o test-output/variability_AA.txt
-}
-gen_var_profile2() {
-    anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
-                                 -c test-output/one_contig_five_genes.db \
-                                 -s test-output/STRUCTURE.db \
-                                 -C default \
-                                 -b bin1 \
-                                 --engine CDN \
-                                 -o test-output/variability_CDN.txt
-}
-display_structure1() {
-    anvi-display-structure -p test-output/SAMPLES-MERGED/PROFILE.db \
-              -c test-output/one_contig_five_genes.db \
-              -s test-output/STRUCTURE.db \
-              --gene-caller-ids 2,4 \
-              --debug
-}
-display_structure2() {
-    anvi-display-structure -V test-output/variability_AA.txt \
-              -c test-output/one_contig_five_genes.db \
-              -s test-output/STRUCTURE.db \
-              --debug
-}
-
-
-if [ $# -eq 0  ]
-then
-      echo "\
-
-        No arguments supplied. You must call this script with one argument: 'new', 'make',
-        or 'display':
-
-        'new'     : generate short reads, map them to the contig, gen contigs.db, make structure db, profile varability, open interactive.
-        'make'    : make structure db, profile varability, open interactive.
-        'display' : profile varability, open interactive.
-        "
-        exit -1
-fi
-
-if [ $# -gt 1  ]
-then
-      echo "
-        This scripts expect only one argument ('new', or 'continue').
-        "
-        exit -1
-fi
-
-if [ $1 = "new"  ]
-then
-    INFO "Creating the output directory"
-    # change directory and clean the old mess if it exists
-    cd sandbox
-    rm -rf test-output
-    mkdir test-output
-    
-    INFO "Anvo'o version"
-    anvi-profile --version
-    
-    INFO "Generating a Bowtie2 ref"
-    bowtie2-build mock_data_for_structure/one_contig_five_genes.fa test-output/one_contig_five_genes.build
-
-    INFO "Generating anvi'o contigs database"
-    anvi-gen-contigs-database -f mock_data_for_structure/one_contig_five_genes.fa -o test-output/one_contig_five_genes.db -n "5 genes concatenated"
-
-    for sample in 01 02 03 04 05
-    do
-        INFO "Generating short reads for sample $sample"
-        anvi-script-gen-short-reads mock_data_for_structure/$sample.ini --output-file-path test-output/$sample.fa
-
-        INFO "Mapping short reads to the ref"
-        ../misc/bowtie_batch_single_fasta.sh test-output/$sample.fa test-output/$sample test-output/one_contig_five_genes.build
-
-        INFO "Profiling the BAM file"
-        anvi-profile -i test-output/$sample.bam -c test-output/one_contig_five_genes.db -o test-output/$sample-PROFILE -M 0 --profile-SCVs
-    done
-
-    INFO "Merging all"
-    anvi-merge test-output/*PROFILE/PROFILE.db -c test-output/one_contig_five_genes.db -o test-output/SAMPLES-MERGED
-
-    INFO "Defining a collection and bin"
-    anvi-import-collection mock_data_for_structure/collection.txt -c test-output/one_contig_five_genes.db -p test-output/SAMPLES-MERGED/PROFILE.db -C default
-
-    INFO "Importing additional layers data"
-    anvi-import-misc-data mock_data_for_structure/additional_layers_data.txt -p test-output/SAMPLES-MERGED/PROFILE.db --target-data-table layers
-
-    INFO "anvi-gen-structure-database with DSSP"
-    make_structure_db
-
-    INFO "anvi-gen-variability-profile --engine AA"
-    gen_var_profile1
-
-    INFO "anvi-gen-variability-profile --engine CDN"
-    gen_var_profile2
-
-    INFO "anvi-display-structure with profile database"
-    display_structure1
-
-    INFO "anvi-display-structure with variability"
-    display_structure2
-
-
-####################################################################################
-
-elif [ $1 = "make"  ]
-then
-    cd sandbox
-
-    if [ ! -f "test-output/one_contig_five_genes.db"  ]
-    then
-      echo "
-        You asked to continue with the previously generated files,
-        but the contigs database is not there. Maybe you should start
-        from scratch by re-running this script with the parameter 'new'.
-        "
-        exit -1
-    else
-        INFO "Attempting to continue with the previously generated files"
-    fi
-
-    rm -rf test-output/STRUCTURE.db
-    rm -rf test-output/RAW_MODELLER_OUTPUT
-    rm -rf test-output/exported_pdbs
-
-    INFO "anvi-gen-structure-database with DSSP"
-    make_structure_db
-
-    INFO "anvi-update-structure-database"
-    anvi-update-structure-database -c test-output/one_contig_five_genes.db -s test-output/STRUCTURE.db --gene-caller-ids 2 --rerun
-
-    INFO "anvi-export-structures"
-    anvi-export-structures -o test-output/exported_pdbs -s test-output/STRUCTURE.db
-
-    INFO "anvi-gen-variability-profile --engine AA"
-    gen_var_profile1
-
-    INFO "anvi-gen-variability-profile --engine CDN"
-    gen_var_profile2
-
-    INFO "anvi-display-structure with profile database"
-    display_structure1
-
-    INFO "anvi-display-structure with variability"
-    display_structure2
-
-    echo
-    echo
-
-elif [ $1 = "display"  ]
-then
-    cd sandbox
-
-    if [ ! -f "test-output/STRUCTURE.db"  ]
-    then
-      echo "
-        You asked to continue with the previously generated files,
-        but the structure database is not there. Maybe you should start
-        from scratch by re-running this script with the parameter 'new'.
-        "
-        exit -1
-    else
-        INFO "Attempting to continue with the previously generated files"
-    fi
-
-    rm -rf test-output/variability_CDN.txt
-    rm -rf test-output/variability_AA.txt
-
-    INFO "anvi-gen-variability-profile --engine AA"
-    gen_var_profile1
-
-    INFO "anvi-gen-variability-profile --engine CDN"
-    gen_var_profile2
-
-    INFO "anvi-display-structure with profile and contigs databases"
-    display_structure1
-
-    INFO "anvi-display-structure with variability"
-    display_structure2
-
-    echo
-    echo
-
-else
-      echo "
-        Unknown parameter $1 :/ Try 'new', or 'make', or 'display'.
-        "
-        exit -1
-fi
-
diff --git a/anvio/tests/run_trnaseq_tests.sh b/anvio/tests/run_trnaseq_tests.sh
deleted file mode 100755
index af43f79d5c..0000000000
--- a/anvio/tests/run_trnaseq_tests.sh
+++ /dev/null
@@ -1,50 +0,0 @@
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-INFO "Writing tRNA feature parameterization file"
-anvi-trnaseq --default-feature-param-file ${output_dir}/DEFAULT-PARAMS.txt
-anvi-trnaseq --print-default-feature-params
-
-INFO "Analyzing each sample FASTA of merged tRNA reads"
-for sample in S01 S02
-do
-    for split in untreated demethylase
-    do
-        INFO "Analyzing sample \"$sample\" split \"$split\""
-        gzip -cd ${files}/TRNASEQ-SAMPLE-${sample}_${split}.fa.gz > \
-                 ${output_dir}/TRNASEQ-SAMPLE-${sample}_${split}.fa
-        anvi-trnaseq -f ${output_dir}/TRNASEQ-SAMPLE-${sample}_${split}.fa \
-                     -S ${sample}_${split} \
-                     -o ${output_dir}/${sample}_${split} \
-                     --treatment ${split} \
-                     --write-checkpoints \
-                     --skip-fasta-check
-        echo
-    done
-done
-
-INFO "Converting tRNA-seq databases to contigs and profile databases"
-anvi-convert-trnaseq-database ${output_dir}/S01_untreated/S01_untreated-TRNASEQ.db \
-                              ${output_dir}/S01_demethylase/S01_demethylase-TRNASEQ.db \
-                              ${output_dir}/S02_untreated/S02_untreated-TRNASEQ.db \
-                              ${output_dir}/S02_demethylase/S02_demethylase-TRNASEQ.db \
-                              -o ${output_dir}/CONVERTED \
-                              -n TEST_EXPERIMENT \
-                              --max-reported-trna-seeds 1000 \
-                              --preferred-treatment demethylase \
-                              --nonspecific-output nonspecific_db,combined_db,summed_db
-
-INFO "Assigning taxonomy to tRNA seeds"
-anvi-run-trna-taxonomy -c ${output_dir}/CONVERTED/CONTIGS.db \
-                       --all-hits-output-file ${output_dir}/CONVERTED/TAXONOMY-HITS.txt
-
-INFO "Firing up the interactive interface with the \"combined\" profile database"
-anvi-interactive -p ${output_dir}/CONVERTED/COMBINED_COVERAGE/PROFILE.db \
-                 -c ${output_dir}/CONVERTED/CONTIGS.db \
-                 ${dry_run_controller}
-
-rm blast-log.txt
diff --git a/anvio/tests/run_variability_mock.sh b/anvio/tests/run_variability_mock.sh
deleted file mode 100755
index 0394dede5a..0000000000
--- a/anvio/tests/run_variability_mock.sh
+++ /dev/null
@@ -1,222 +0,0 @@
-#!/bin/bash
-source 00.sh
-set -e
-
-if [ $# -eq 0  ]
-then
-      echo "\
-
-        No arguments supplied. You must call this script with one argument: 'new',
-        or 'continue':
-
-        'new'     : generate short reads, map them to the contig, gen contigs.db, run profiling.
-        'continue': re-run profiling.
-        "
-        exit -1
-fi
-
-if [ $# -gt 1  ]
-then
-      echo "
-        This scripts expect only one argument ('new', or 'continue').
-        "
-        exit -1
-fi
-
-if [ $1 = "new"  ]
-then
-    INFO "Creating the output directory"
-    # change directory and clean the old mess if it exists
-    cd sandbox
-    rm -rf test-output
-    mkdir test-output
-
-    INFO "Anvo'o version"
-    anvi-profile --version
-
-    INFO "Generating a Bowtie2 ref"
-    bowtie2-build single_contig.fa test-output/single_contig
-
-    INFO "Generating anvi'o contigs database"
-    anvi-gen-contigs-database -f single_contig.fa -o test-output/single_contig.db -L 60 -n "Single contig"
-
-    for sample in 01 02 03 04 05
-    do
-        INFO "Generating short reads for sample $sample"
-        anvi-script-gen-short-reads config_files_for_variability_testing/$sample.ini --output-file-path test-output/$sample.fa
-
-        INFO "Mapping short reads to the ref"
-        ../misc/bowtie_batch_single_fasta.sh test-output/$sample.fa test-output/$sample test-output/single_contig
-
-        INFO "Profiling the BAM file"
-        anvi-profile -i test-output/$sample.bam -c test-output/single_contig.db -o test-output/$sample-PROFILE -M 0 --profile-SCVs
-    done
-
-
-    INFO "Merging all"
-    anvi-merge test-output/*/PROFILE.db -c test-output/single_contig.db -o test-output/SAMPLES-MERGED
-
-elif [ $1 = "continue"  ]
-then
-    cd sandbox
-
-    if [ ! -f "test-output/single_contig.db"  ]
-    then
-      echo "
-        You asked to continue with the previously generated files,
-        but the contigs database is not there. Maybe you should start
-        from scratch by re-running this script with the parameter 'new'.
-        "
-        exit -1
-    else
-        INFO "Attempting to continue with the previously generated files"
-
-        rm -rf test-output/*-PROFILE
-        rm -rf test-output/*-MERGED
-
-        for sample in 01 02 03 04 05
-        do
-            INFO "Re-profiling the BAM file"
-            anvi-profile -i test-output/$sample.bam -c test-output/single_contig.db -o test-output/$sample-PROFILE -M 0 --profile-SCVs
-        done
-
-        INFO "Merging all"
-        anvi-merge test-output/*/PROFILE.db -c test-output/single_contig.db -o test-output/SAMPLES-MERGED
-    fi
-else
-      echo "
-        Unknown parameter $1 :/ Try 'new', or 'continue'.
-        "
-        exit -1
-fi
-
-INFO "Importing a default state"
-anvi-import-state -s config_files_for_variability_testing/default.json -n default -p test-output/SAMPLES-MERGED/PROFILE.db
-
-# splits of interest:
-cat << EOF > test-output/splits_of_interest.txt
-recA_split_00001
-recA_split_00002
-recA_split_00003
-EOF
-
-INFO "anvi-gen-variability for NT"
-anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
-                             -c test-output/single_contig.db \
-                             -o test-output/variability_NT.txt \
-                             --splits-of-interest test-output/splits_of_interest.txt \
-                             --quince-mode \
-                             --engine NT
-
-INFO "anvi-gen-variability for NT no quince"
-anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
-                             -c test-output/single_contig.db \
-                             -o test-output/variability_NT_no_quince.txt \
-                             --splits-of-interest test-output/splits_of_interest.txt \
-                             --engine NT
-
-head test-output/variability_NT.txt
-
-INFO "anvi-gen-variability for AA"
-anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
-                             -c test-output/single_contig.db \
-                             -o test-output/variability_AA.txt \
-                             --splits-of-interest test-output/splits_of_interest.txt \
-                             --quince-mode \
-                             --engine AA
-
-head test-output/variability_AA.txt
-
-INFO "anvi-gen-variability for AA (--kiefl-mode)"
-anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
-                             -c test-output/single_contig.db \
-                             -o test-output/variability_AA_kiefl.txt \
-                             --splits-of-interest test-output/splits_of_interest.txt \
-                             --kiefl-mode \
-                             --engine AA
-
-head test-output/variability_AA_kiefl.txt
-
-INFO "anvi-gen-variability for CDN"
-anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
-                             -c test-output/single_contig.db \
-                             -o test-output/variability_CDN.txt \
-                             --gene-caller-ids 0 \
-                             --quince-mode \
-                             --include-site-pnps \
-                             --engine CDN
-
-head test-output/variability_CDN.txt
-
-INFO "anvi-gen-variability for CDN (--kiefl-mode)"
-anvi-gen-variability-profile -p test-output/SAMPLES-MERGED/PROFILE.db \
-                             -c test-output/single_contig.db \
-                             -o test-output/variability_CDN_kiefl.txt \
-                             --splits-of-interest test-output/splits_of_interest.txt \
-                             --include-site-pnps \
-                             --kiefl-mode \
-                             --engine CDN
-
-head test-output/variability_CDN_kiefl.txt
-
-INFO "anvi-gen-fixation-index-matrix for NT"
-anvi-gen-fixation-index-matrix -p test-output/SAMPLES-MERGED/PROFILE.db \
-                               -c test-output/single_contig.db \
-                               -o test-output/fixation_NT.txt \
-                               --splits-of-interest test-output/splits_of_interest.txt \
-                               --engine NT
-
-INFO "anvi-gen-fixation-index-matrix for NT with external table"
-anvi-gen-fixation-index-matrix -V test-output/variability_NT.txt \
-                               -o test-output/fixation_NT_external.txt \
-                               --engine NT
-
-INFO "anvi-gen-fixation-index-matrix for NT with external table no quince"
-anvi-gen-fixation-index-matrix -V test-output/variability_NT_no_quince.txt \
-                               -o test-output/fixation_NT_external_no_quince.txt \
-                               --engine NT
-
-INFO "diff between test-output/fixation_NT_external.txt and test-output/fixation_NT.txt (should be same)"
-cat test-output/fixation_NT.txt
-cat test-output/fixation_NT_external.txt
-
-INFO "comparison between test-output/fixation_NT_external_no_quince.txt and test-output/fixation_NT_external.txt"
-INFO "(the value should be the same but the order of the samples becomes arbitrary)"
-cat test-output/fixation_NT_external_no_quince.txt
-cat test-output/fixation_NT_external.txt
-
-INFO "anvi-gen-fixation-index-matrix for NT with external table no quince"
-rm -rf test-output/pn_ps_ratio_output
-anvi-get-pn-ps-ratio -V test-output/variability_CDN.txt \
-                     -c test-output/single_contig.db \
-                     -o test-output/pn_ps_ratio_output \
-                     -m 10 \
-                     -i 3
-
-INFO "anvi-gen-gene-consensus-sequences for gene mode"
-anvi-gen-gene-consensus-sequences -p test-output/SAMPLES-MERGED/PROFILE.db \
-                                  -c test-output/single_contig.db \
-                                  -o test-output/consensus_sequence_gene.fa \
-                                  --gene-caller-ids 0
-cat test-output/consensus_sequence_gene.fa
-
-INFO "anvi-gen-gene-consensus-sequences for gene mode compressed samples"
-anvi-gen-gene-consensus-sequences -p test-output/SAMPLES-MERGED/PROFILE.db \
-                                  -c test-output/single_contig.db \
-                                  -o test-output/consensus_sequence_gene_compressed.fa \
-                                  --gene-caller-ids 0 \
-                                  --compress
-cat test-output/consensus_sequence_gene_compressed.fa
-
-INFO "anvi-gen-gene-consensus-sequences for contigs mode"
-anvi-gen-gene-consensus-sequences -p test-output/SAMPLES-MERGED/PROFILE.db \
-                                  -c test-output/single_contig.db \
-                                  -o test-output/consensus_sequence_contig.fa \
-                                  --contigs-mode
-cat test-output/consensus_sequence_contig.fa
-
-INFO "Do you want the interactive interface? Run the following:"
-
-echo "anvi-interactive -p `pwd`/test-output/SAMPLES-MERGED/PROFILE.db -c `pwd`/test-output/single_contig.db"
-echo
-echo
diff --git a/anvio/tests/run_workflows_tests.sh b/anvio/tests/run_workflows_tests.sh
deleted file mode 100755
index c02300f26e..0000000000
--- a/anvio/tests/run_workflows_tests.sh
+++ /dev/null
@@ -1,8 +0,0 @@
-#!/bin/bash
-
-set -e
-
-./run_contigs_workflow_tests.sh
-./run_phylogenomics_workflow_tests.sh
-./run_pangenomics_workflow_tests.sh
-./run_metagenomics_workflow_tests.sh
diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/01.db b/anvio/tests/sandbox/mock_data_for_pangenomics/01.db
deleted file mode 100644
index 9b73d842d2b30a46b2aa6d1b1670f71050a11d13..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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diff --git a/anvio/tests/sandbox/mock_data_for_pangenomics/03.db b/anvio/tests/sandbox/mock_data_for_pangenomics/03.db
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diff --git a/anvio/tests/test-mcg-classifier/config.json b/anvio/tests/test-mcg-classifier/config.json
deleted file mode 100644
index 2c63c08510..0000000000
--- a/anvio/tests/test-mcg-classifier/config.json
+++ /dev/null
@@ -1,2 +0,0 @@
-{
-}
diff --git a/anvio/tests/test-mcg-classifier/mcg-classifier.snakefile b/anvio/tests/test-mcg-classifier/mcg-classifier.snakefile
deleted file mode 100644
index acf25f9bbe..0000000000
--- a/anvio/tests/test-mcg-classifier/mcg-classifier.snakefile
+++ /dev/null
@@ -1,108 +0,0 @@
-'''
-    A test file to test mcg-classifier
-
-    To run it:
-        snakemake -s mcg-classifier.snakefile -p
-'''
-
-configfile: "config.json"
-
-def A(_list, d, default_value = ""):
-    '''
-        A helper function to make sense of config details.
-        string_list is a list of strings (or a single string)
-        d is a dictionary
-
-        this function checks if the strings in x are nested values in y.
-        For example if x = ['a','b','c'] then this function checkes if the
-        value y['a']['b']['c'] exists, if it does then it is returned
-    '''
-    if type(_list) is not list:
-        # converting to list for the cases of only one item
-        _list = [_list]
-    while _list:
-        a = _list.pop(0)
-        if a in d:
-            d = d[a]
-        else:
-            return default_value
-    return d
-
-
-output_dir = A("output_dir", config, "test-output")
-files_dir = A("files_dir", config, "../sandbox/mock_files_for_alons_classifier")
-samples = ["hmp0041", "hmp0062", "hmp0074", "hmp0075", "hmp0079", "hmp0094"]
-
-rule all:
-    input: output_dir + "/mcg.finished"
-
-
-rule gen_contigs_db:
-    """ Generates a contigs database using anvi-gen-contigs-database """
-    log: output_dir + "/TEST-gen_contigs_db.log"
-    # depending on whether human contamination using centrifuge was done
-    # or not, the input to this rule will be the raw assembly or the
-    # filtered.
-    input: files_dir + "/TEST.fa"
-    output:
-        db = output_dir + "/TEST.db",
-    shell: "anvi-gen-contigs-database -f {input} -o {output.db} -n TEST >> {log} 2>&1"
-
-
-rule anvi_init_bam:
-    log: output_dir + "/TEST-{sample}-anvi_init_bam.log"
-    input: files_dir + "/{sample}-RAW.bam"
-    output:
-        bam = output_dir + "/TEST/{sample}.bam",
-        bai = output_dir + "/TEST/{sample}.bam.bai"
-    shell: "anvi-init-bam {input} -o {output.bam} >> {log} 2>&1"
-
-
-rule profile:
-    log: output_dir + "/TEST-{sample}-anvi_profile.log"
-    input:
-        bam = output_dir + "/TEST/{sample}.bam",
-        contigs = output_dir + "/TEST.db"
-    output:
-        profile = output_dir + "/TEST/{sample}/PROFILE.db",
-        aux = output_dir + "/TEST/{sample}/AUXILIARY-DATA.db",
-        runlog = output_dir + "/TEST/{sample}/RUNLOG.txt"
-    params:
-        name = "{sample}",
-        output_dir = output_dir + "/TEST/{sample}"
-    shell: "anvi-profile -c {input.contigs} -i {input.bam} -o {params.output_dir} -S {params.name} --overwrite-output-destinations"
-
-rule merge:
-    log: output_dir + "/TEST-anvi_merge.log"
-    input:
-        profiles = expand(output_dir + "/TEST/{sample}/PROFILE.db", sample=samples),
-        contigs = rules.gen_contigs_db.output.db
-    output:
-        profile = output_dir + "/TEST/MERGED-SAMPLES/PROFILE.db",
-        aux = output_dir + "/TEST/MERGED-SAMPLES/AUXILIARY-DATA.db",
-        runlog = output_dir + "/TEST/MERGED-SAMPLES/RUNLOG.txt"
-    params:
-        output_dir = output_dir + "/TEST/MERGED-SAMPLES",
-        name = "TEST"
-    shell: "anvi-merge {input.profiles} -o {params.output_dir} -c {input.contigs} -S {params.name} --overwrite-output-destinations --skip-concoct-binning >> {log} 2>&1"
-
-
-rule import_collection:
-    log: output_dir + "/TEST-import_collection.log"
-    input:
-        profile = output_dir + "/TEST/MERGED-SAMPLES/PROFILE.db",
-        contigs = output_dir + "/TEST.db"
-    output: touch(output_dir + "/import_collection.done")
-    params: collection = files_dir + "/TEST-COLLECTION.txt"
-    shell: "anvi-import-collection -c {input.contigs} -p {input.profile} {params.collection} -C TEST >> {log} 2>&1"
-
-
-rule run_mcg_classifier:
-    log: output_dir + "/TEST-run_mcg_classifier.log"
-    input:
-        profile = output_dir + "/TEST/MERGED-SAMPLES/PROFILE.db",
-        contigs = output_dir + "/TEST.db"
-    output: touch(output_dir + "/mcg.finished")
-    params:
-        output_prefix= output_dir + "/TEST"
-    shell: "anvi-mcg-classifier -p {input.profile} -c {input.contigs} -O {params.output_prefix} --outliers-threshold 1.5 --alpha 0.05 --gen-figures --zeros-are-outliers -C TEST -b Bin_1 -W --debug >> {log} 2>&1"
diff --git a/anvio/tests/unit/test_Read_class.py b/anvio/tests/unit/test_Read_class.py
deleted file mode 100644
index 157f58cd7e..0000000000
--- a/anvio/tests/unit/test_Read_class.py
+++ /dev/null
@@ -1,164 +0,0 @@
-#! /usr/bin/env python
-# -*- coding: utf-8
-"""Unit tests for the Read class.
-
-FIXME This class should deal with all the features of the Read class, such as vectorize,
-get_aligned_sequence_and_positions, iterate_cigartuples, etc.
-"""
-
-import copy
-import numpy as np
-import unittest
-
-import anvio
-
-from anvio.bamops import Read
-from anvio.errors import ConfigError
-
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2019, the Meren Lab (http://merenlab.org/)"
-__credits__ = []
-__license__ = "GPL 3.0"
-__version__ = anvio.__version__
-__maintainer__ = "Evan Kiefl"
-__email__ = "kiefl.evan@gmail.com"
-
-
-class FakePySamAlignedSegment:
-    def __init__(self, **output):
-        for key, v in output.items():
-            setattr(self, key, v)
-
-
-class TestTrim(unittest.TestCase):
-    """
-    CASE #1
-    =======
-    <anvio.bamops.Read object at 0x12b042470>
-     ├── start, end : [0, 8)
-     ├── cigartuple : [(0, 8)]
-     ├── read       : AACCTTGG
-     └── reference  : XXXXXXXX
-
-    CASE #2
-    =======
-    <anvio.bamops.Read object at 0x12b042358>
-     ├── start, end : [0, 4)
-     ├── cigartuple : [(0, 2), (1, 4), (0, 2)]
-     ├── read       : AACCTTGG
-     └── reference  : XX----XX
-
-    CASE #3
-    =======
-    <anvio.bamops.Read object at 0x12b042390>
-     ├── start, end : [0, 7)
-     ├── cigartuple : [(0, 1), (1, 3), (2, 2), (0, 4)]
-     ├── read       : AACC--TTGG
-     └── reference  : X---XXXXXX
-
-    CASE #4
-    =======
-    <anvio.bamops.Read object at 0x12b042400>
-     ├── start, end : [0, 11)
-     ├── cigartuple : [(0, 1), (2, 1), (0, 1), (2, 1), (0, 1), (2, 1), (0, 1), (2, 1), (0, 2), (1, 1), (0, 1)]
-     ├── read       : A-A-C-C-TTGG
-     └── reference  : XXXXXXXXXX-X
-    """
-
-    def setUp(self):
-        self.read_attrs = [
-            {
-                'query_sequence' : 'AACCTTGG',
-                'reference_positions': np.array([0,1,2,3,4,5,6,7]),
-                'reference_start': 0,
-                'reference_end': 8,
-                'cigartuples': np.array([(0,8)]),
-                'trim_by': 3,
-                'output_tuples_left': np.array([(0,5)]),
-                'output_sequence_left': 'CTTGG',
-                'output_reference_positions_left': np.array([3,4,5,6,7]),
-                'output_tuples_right': np.array([(0,5)]),
-                'output_sequence_right': 'AACCT',
-                'output_reference_positions_right': np.array([0,1,2,3,4]),
-            },
-            {
-                'query_sequence' : 'AACCTTGG',
-                'reference_positions': np.array([0,1,2,3]),
-                'reference_start': 0,
-                'reference_end': 4,
-                'cigartuples': np.array([(0,2), (1,4), (0,2)]),
-                'trim_by': 3,
-                'output_tuples_left': np.array([(0,1)]),
-                'output_sequence_left': 'G',
-                'output_reference_positions_left': np.array([3]),
-                'output_tuples_right': np.array([(0,1)]),
-                'output_sequence_right': 'A',
-                'output_reference_positions_right': np.array([0]),
-            },
-            {
-                'query_sequence' : 'AACCTTGG',
-                'reference_positions': [0,3,4,5,6],
-                'reference_start': 0,
-                'reference_end': 7,
-                'cigartuples': np.array([(0,1), (1,3), (2,2), (0,4)]),
-                'trim_by': 3,
-                'output_tuples_left': np.array([(0,4)]),
-                'output_sequence_left': 'TTGG',
-                'output_reference_positions_left': np.array([3,4,5,6]),
-                'output_tuples_right': np.array([(0,1), (1,3), (2,2), (0,1)]),
-                'output_sequence_right': 'AACCT',
-                'output_reference_positions_right': np.array([0,3]),
-            },
-            {
-                'query_sequence' : 'AACCTTGG',
-                'reference_positions': np.array([0,2,4,6,8,9,10]),
-                'reference_start': 0,
-                'reference_end': 11,
-                'cigartuples': np.array([(0,1), (2,1), (0,1), (2,1), (0,1), (2,1), (0,1), (2,1), (0,2), (1,1), (0,1)]),
-                'trim_by': 3,
-                'output_tuples_left': np.array([(0,1), (2,1), (0,1), (2,1), (0,2), (1,1), (0,1)]),
-                'output_sequence_left': 'CCTTGG',
-                'output_reference_positions_left': np.array([4,6,8,9,10]),
-                'output_tuples_right': np.array([(0,1), (2,1), (0,1), (2,1), (0,1), (2,1), (0,1)]),
-                'output_sequence_right': 'AACC',
-                'output_reference_positions_right': np.array([0,2,4,6]),
-            },
-        ]
-
-        self.reads = {}
-        for i, attributes in enumerate(self.read_attrs):
-            pysam_read = FakePySamAlignedSegment(**attributes)
-            self.reads[i] = Read(pysam_read)
-
-
-    def test_trim(self):
-        for target in range(len(self.reads)):
-            print("\n\nWorking on target %d:\n%s" % (target, self.reads[target]))
-            attrs = self.read_attrs[target]
-
-            print("Trimming left ...")
-            read = copy.deepcopy(self.reads[target])
-            read.trim(attrs['trim_by'], side='left')
-            print("After trimming left by %d:\n%s" % (attrs['trim_by'], read))
-            self.assertEqual(read.cigartuples.tolist(), attrs['output_tuples_left'].tolist())
-
-            print("Trimming right ...")
-            read = copy.deepcopy(self.reads[target])
-            read.trim(attrs['trim_by'], side='right')
-            print("After trimming right by %d:\n%s" % (attrs['trim_by'], read))
-            self.assertEqual(read.cigartuples.tolist(), attrs['output_tuples_right'].tolist())
-
-
-class TestCaseStudy1(unittest.TestCase):
-    def test_case_study_1(self):
-        d = {'gene_overlap_start': 9460, 'gene_overlap_end': 9481, 'cigartuples': [(0, 20), (2, 3), (0, 14), (1, 1), (0, 19), (1, 2), (0, 45)], 'reference_start': 9460, 'reference_end': 9561, 'reference_positions': [9460, 9461, 9462, 9463, 9464, 9465, 9466, 9467, 9468, 9469, 9470, 9471, 9472, 9473, 9474, 9475, 9476, 9477, 9478, 9479, 9483, 9484, 9485, 9486, 9487, 9488, 9489, 9490, 9491, 9492, 9493, 9494, 9495, 9496, 9497, 9498, 9499, 9500, 9501, 9502, 9503, 9504, 9505, 9506, 9507, 9508, 9509, 9510, 9511, 9512, 9513, 9514, 9515, 9516, 9517, 9518, 9519, 9520, 9521, 9522, 9523, 9524, 9525, 9526, 9527, 9528, 9529, 9530, 9531, 9532, 9533, 9534, 9535, 9536, 9537, 9538, 9539, 9540, 9541, 9542, 9543, 9544, 9545, 9546, 9547, 9548, 9549, 9550, 9551, 9552, 9553, 9554, 9555, 9556, 9557, 9558, 9559, 9560], 'query_sequence': 'ACTAGTTTCTTACCTCTATAATTCATAGAGAAAGAAAAATTTAATATGCGCCAATTTTTAAAAAAATTGGTGCCTATTTTTTTAACCAAAATTCTAATATA'}
-        read = Read(FakePySamAlignedSegment(**d))
-
-        read2 = copy.copy(read)
-        read2.trim(21, side='left')
-
-        self.assertEqual(read2.cigartuples.tolist(), np.array([(0, 14), (1, 1), (0, 19), (1, 2), (0, 45)]).tolist())
-
-
-if __name__ == '__main__':
-    unittest.main()
diff --git a/bin/anvi-convert-trnaseq-database b/bin/anvi-convert-trnaseq-database
deleted file mode 100755
index 1d14d5eb22..0000000000
--- a/bin/anvi-convert-trnaseq-database
+++ /dev/null
@@ -1,62 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8
-
-import sys
-
-import anvio
-import anvio.trnaseq as trnaseq
-
-from anvio.argparse import ArgumentParser
-from anvio.errors import ConfigError, FilesNPathsError
-
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2020, the Meren Lab (http://merenlab.org/)"
-__credits__ = []
-__license__ = "GPL 3.0"
-__version__ = anvio.__version__
-__authors__ = ['semiller10']
-__requires__ = ['trnaseq-db']
-__provides__ = ['contigs-db', 'profile-db']
-__description__ = ("A program that processes one or more anvio' tRNA-seq databases generated by `anvi-trnaseq` to generate "
-                   "anvi'o contigs and merged profile databases that are accessible to the rest of the tools in anvi'o "
-                   "software ecosystem. Briefly, this program will determine final seed sequences from input tRNA-seq "
-                   "databases, determine their coverages across samples, identify tRNA modification sites, and INDELs "
-                   "associated with transcripts in each sample against the seed sequences and store all these data into "
-                   "resulting databases for interactive visualization of the data or in-depth analysis using other anvi'o frameworks")
-
-
-if __name__ == '__main__':
-    parser = ArgumentParser(description=__description__)
-
-    groupA = parser.add_argument_group('MANDATORY')
-    groupA.add_argument('input', metavar='TRNASEQ_DB(S)', nargs='+',
-                        help="Anvi'o tRNA-seq databases representing samples in an experiment")
-    groupA.add_argument(*anvio.A('output-dir'), **anvio.K('output-dir'))
-    groupA.add_argument(*anvio.A('project-name'), **anvio.K('project-name'))
-
-    groupB = parser.add_argument_group('EXTRAS')
-    groupB.add_argument(*anvio.A('num-threads'), **anvio.K('num-threads'))
-    groupB.add_argument(*anvio.A('max-reported-trna-seeds'), **anvio.K('max-reported-trna-seeds'))
-    groupB.add_argument(*anvio.A('overwrite-output-destinations'), **anvio.K('overwrite-output-destinations'))
-    groupB.add_argument(*anvio.A('description'), **anvio.K('description'))
-
-    groupC = parser.add_argument_group('ADVANCED')
-    groupC.add_argument(*anvio.A('feature-threshold'), **anvio.K('feature-threshold'))
-    groupC.add_argument(*anvio.A('preferred-treatment'), **anvio.K('preferred-treatment'))
-    groupC.add_argument(*anvio.A('nonspecific-output'), **anvio.K('nonspecific-output'))
-    groupC.add_argument(*anvio.A('min-variation'), **anvio.K('min-variation'))
-    groupC.add_argument(*anvio.A('min-third-fourth-nt'), **anvio.K('min-third-fourth-nt'))
-    groupC.add_argument(*anvio.A('min-indel-fraction'), **anvio.K('min-indel-fraction'))
-    groupC.add_argument(*anvio.A('distance'), **anvio.K('distance'))
-    groupC.add_argument(*anvio.A('linkage'), **anvio.K('linkage'))
-
-    args = parser.get_args(parser)
-    try:
-        converter = trnaseq.DatabaseConverter(args)
-        converter.process()
-    except ConfigError as e:
-        print(e)
-        sys.exit(-1)
-    except FilesNPathsError as e:
-        print(e)
-        sys.exit(-2)

From 95735c2752b1043dc00254df6b01b834aa211f6c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 Aug 2022 00:09:45 -0700
Subject: [PATCH 0764/1020] one more

---
 anvio/contigops.py | 949 ---------------------------------------------
 1 file changed, 949 deletions(-)
 delete mode 100644 anvio/contigops.py

diff --git a/anvio/contigops.py b/anvio/contigops.py
deleted file mode 100644
index 94766e56ce..0000000000
--- a/anvio/contigops.py
+++ /dev/null
@@ -1,949 +0,0 @@
-# -*- coding: utf-8
-# pylint: disable=line-too-long
-"""Classes and functions for handling, storing, and retrieving atomic data
-   from contigs and splits. Also includes classes to deal with external
-   contig data such as GenbankToAnvio."""
-
-import os
-import re
-import io
-import gzip
-import numpy as np
-import string
-import argparse
-
-from Bio import SeqIO
-from collections import OrderedDict
-
-import anvio
-import anvio.utils as utils
-import anvio.terminal as terminal
-import anvio.constants as constants
-import anvio.filesnpaths as filesnpaths
-
-from anvio.errors import ConfigError
-from anvio.variability import VariablityTestFactory, ProcessNucleotideCounts, ProcessCodonCounts, ProcessIndelCounts
-
-
-__author__ = "Developers of anvi'o (see AUTHORS.txt)"
-__copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
-__credits__ = ["Mike Lee", "Faruk Uzun"]
-__license__ = "GPL 3.0"
-__version__ = anvio.__version__
-__maintainer__ = "A. Murat Eren"
-__email__ = "a.murat.eren@gmail.com"
-__status__ = "Development"
-
-
-OK_CHARS_FOR_ORGANISM_NAME = string.ascii_letters + string.digits + '_'
-OK_CHARS_FOR_ACCESSION = OK_CHARS_FOR_ORGANISM_NAME
-
-# These filter SNVs and INDELs, respectively, based on a coverage-dependent departure from reference value
-variability_test_class_default = VariablityTestFactory(params={'b': 2, 'm': 1.45, 'c': 0.05})
-indel_test_class_default = VariablityTestFactory(params={'b': 2, 'm': 1.45, 'c': 0.05})
-
-# These are null filters, which do not filter SNVs and INDELs based on a coverage-dependent departure from reference value
-variability_test_class_null = VariablityTestFactory(params=None)
-indel_test_class_null = VariablityTestFactory(params=None)
-
-
-def gen_split_name(parent_name, order):
-    return '_'.join([parent_name, 'split', '%05d' % (order + 1)])
-
-
-def get_atomic_data(sample_id, contigs, atomic_data_field):
-    """Takes a list of contigops.Contig objects, and returns views for an atomic_data_field"""
-
-    atomic_data_contigs = []
-    atomic_data_splits = []
-
-    # this loop will get atomic_data information from Contig instanes and store them into the db
-    # at once. this was broken down into about 10 functions, but this structure seems to be the most efficient
-    # although it looks crappy:
-    for contig in contigs:
-        contig_atomic_data = contig.get_atomic_data_dict(atomic_data_field)
-
-        for split in contig.splits:
-            atomic_data_contigs.append((split.name, sample_id, contig_atomic_data), )
-
-        # contig is done, deal with splits in it:
-        for split in contig.splits:
-            split_atomic_data = split.get_atomic_data_dict(atomic_data_field)
-            atomic_data_splits.append((split.name, sample_id, split_atomic_data), )
-
-    return atomic_data_splits, atomic_data_contigs
-
-
-class Contig:
-    def __init__(self, name):
-        self.name = name
-        self.sequence = None
-        self.parent = None
-        self.splits = []
-        self.length = 0
-        self.abundance = 0.0
-        self.coverage = anvio.bamops.Coverage()
-
-        self.skip_SNV_profiling = False
-
-
-    def get_atomic_data_dict(self, atomic_data_field):
-        d = {'std_coverage': self.coverage.std,
-             'mean_coverage': self.coverage.mean,
-             'mean_coverage_Q2Q3': self.coverage.mean_Q2Q3,
-             'detection': self.coverage.detection,
-             'abundance': self.abundance,
-             'variability': sum(s.auxiliary.variation_density for s in self.splits) if not self.skip_SNV_profiling else None}
-
-        return d[atomic_data_field]
-
-
-    def analyze_coverage(self, bam, min_percent_identity):
-
-        if min_percent_identity is None:
-            self.coverage.run(
-                bam,
-                self,
-                read_iterator='fetch',
-                max_coverage=anvio.auxiliarydataops.COVERAGE_MAX_VALUE,
-            )
-        else:
-            self.coverage.run(
-                bam,
-                self,
-                read_iterator='fetch_filter_and_trim',
-                max_coverage=anvio.auxiliarydataops.COVERAGE_MAX_VALUE,
-                percent_id_cutoff=min_percent_identity,
-            )
-
-        if len(self.splits) == 1:
-            # Coverage.process_c is a potentially expensive operation (taking up ~90% of the time of
-            # analyze_coverage when coverage is low (but when coverage is >500X, the time taken is
-            # ~1%)). Regardless, this clause exists to catch the somewhat common occurence when a
-            # contig only has one split. In this case, the contig _is_ the split, and so all of the
-            # split.coverage attributes can simply be referenced directly from contig.coverage
-            split = self.splits[0]
-            split.coverage = anvio.bamops.Coverage()
-            split.coverage.c = self.coverage.c
-            split.coverage.min = self.coverage.min
-            split.coverage.max = self.coverage.max
-            split.coverage.median = self.coverage.median
-            split.coverage.mean = self.coverage.mean
-            split.coverage.std = self.coverage.std
-            split.coverage.detection = self.coverage.detection
-            split.coverage.is_outlier = self.coverage.is_outlier
-            split.coverage.is_outlier_in_parent = self.coverage.is_outlier
-            split.coverage.mean_Q2Q3 = self.coverage.mean_Q2Q3
-            return
-
-        for split in self.splits:
-            split.coverage = anvio.bamops.Coverage()
-            split.coverage.c = self.coverage.c[split.start:split.end]
-            split.coverage.is_outlier_in_parent = self.coverage.is_outlier[split.start:split.end]
-            split.coverage.process_c(split.coverage.c)
-
-
-class Split:
-    def __init__(self, name, sequence, parent, order, start=0, end=0):
-        self.name = name
-        self.sequence = sequence
-        self.parent = parent
-        self.end = end
-        self.order = order
-        self.start = start
-        self.length = end - start
-        self.explicit_length = 0
-        self.abundance = 0.0
-        self.auxiliary = None
-        self.num_SNV_entries = 0
-        self.num_INDEL_entries = 0
-        self.num_SCV_entries = {}
-        self.SNV_profiles = {}
-        self.SCV_profiles = {}
-        self.INDEL_profiles = {}
-        self.per_position_info = {} # stores per nt info that is not coverage
-
-
-    def get_atomic_data_dict(self, atomic_data_field):
-        d = {'std_coverage': self.coverage.std,
-             'mean_coverage': self.coverage.mean,
-             'mean_coverage_Q2Q3': self.coverage.mean_Q2Q3,
-             'detection': self.coverage.detection,
-             'abundance': self.abundance,
-             'variability': self.auxiliary.variation_density if self.auxiliary else None}
-
-        return d[atomic_data_field]
-
-
-class Auxiliary:
-    def __init__(self, split, min_coverage_for_variability=10, report_variability_full=False,
-                 profile_SCVs=False, skip_INDEL_profiling=False, skip_SNV_profiling=False, min_percent_identity=None):
-
-        if anvio.DEBUG:
-            self.run = terminal.Run()
-
-        self.split = split
-        self.variation_density = 0.0
-        self.min_coverage_for_variability = min_coverage_for_variability
-        self.min_percent_identity = min_percent_identity
-        self.skip_SNV_profiling = skip_SNV_profiling
-        self.profile_SCVs = profile_SCVs
-        self.skip_INDEL_profiling = skip_INDEL_profiling
-        self.report_variability_full = report_variability_full
-
-        # used during array processing
-        self.nt_to_array_index = {nt: i for i, nt in enumerate(constants.nucleotides)}
-        self.cdn_to_array_index = {cdn: i for i, cdn in enumerate(constants.codons)}
-
-        if self.profile_SCVs:
-            if not all([necessary in self.split.per_position_info for necessary in ['forward', 'gene_start', 'gene_stop']]):
-                raise ConfigError("Auxiliary :: self.split.per_position_info does not contain the info required for SCV profiling")
-
-
-    def process(self, bam):
-        self.run_SNVs_and_indels(bam)
-
-        if self.profile_SCVs:
-            self.run_SCVs(bam)
-
-
-    def run_SCVs(self, bam):
-        """Profile SCVs
-
-        Parameters
-        ==========
-        bam : bamops.BAMFileObject
-
-        Notes
-        =====
-        - Loop through reads and then finding the genes it overlaps with has proven to be the
-          fastest way to do this. Looping through genes with fetch(self.split.parent, gene_start,
-          gene_stop) is approximately twice as slow because trimming is expensive, and I/O
-          operations on the BAM file suffer
-        """
-
-        reference_codon_sequences = {}
-        gene_allele_counts = {}
-        gene_calls = {}
-
-        genes_with_SNVs = set(self.split.SNV_profiles['corresponding_gene_call'])
-
-        # Decide how we want to iterate through reads
-        if self.min_percent_identity:
-            read_iterator = bam.fetch_filter_and_trim
-            kwargs = {'percent_id_cutoff': self.min_percent_identity}
-        else:
-            read_iterator = bam.fetch_and_trim
-            kwargs = {}
-
-        read_count = 0
-        for read in read_iterator(self.split.parent, self.split.start, self.split.end, **kwargs):
-            # This loop will be making extensive use of the vectorized form of Read, so it is well
-            # worth the time to vectorize it right off the bat
-            read.vectorize()
-
-            # Although rare, the read can overlap multiple genes. To generalize, we loop through the
-            # genes the read overlaps with. If the read overlaps just one, shortcuts are taken
-            # _within_ the loop.
-
-            gene_id_per_nt_in_read = self.split.per_position_info['corresponding_gene_call'][
-                (read.reference_start - self.split.start):(read.reference_end - self.split.start)
-            ]
-
-            genes_in_read = set(gene_id_per_nt_in_read)
-
-            for gene_id in genes_in_read:
-
-                if gene_id == -1:
-                    continue
-
-                if gene_id not in genes_with_SNVs:
-                    # By design, we include SCVs only if they contain a SNV. In this case, there were no
-                    # SNVs in the gene so there is nothing to do.
-                    continue
-
-                if len(genes_in_read) == 1:
-                    # The read maps entirely to 1 gene. Easy peasy.
-                    gene_overlap_start = read.reference_start
-                    segment_that_overlaps_gene = read.v
-                else:
-                    # Okay, we need to do some work to get the segment that overlaps
-
-                    # FIXME There is something extremely rare that can happen that leads to an
-                    # inaccuracy. Here's the situation: A read completely covers a very small gene
-                    # that is _fully_ inside another gene (such a situation can happen when running
-                    # tRNA HMMs). Since the genes overlap, the nt positions in the small gene are
-                    # given a value of -1, so gene_id_per_nt_in_read looks like [42, 42, 42, 42, -1,
-                    # ..., -1, 42, 42]. The portion of the read after the consecutive -1's will be
-                    # trimmed and not included. The solution to this problem is to better manage
-                    # which genes we include for SCV analysis, but the problem is that the
-                    # vectorized data we use for gene information (nt_position_info) has these
-                    # overlapping gene segments pre-baked in.
-                    gene_overlap_start, gene_overlap_stop = utils.get_constant_value_blocks(gene_id_per_nt_in_read, gene_id)[0]
-                    gene_overlap_start += read.reference_start
-                    gene_overlap_stop += read.reference_start - 1
-                    start_index = utils.find_value_index(read[:, 0], gene_overlap_start)
-                    stop_index = utils.find_value_index(read[:, 0], gene_overlap_stop)
-                    segment_that_overlaps_gene = read[start_index:stop_index+1]
-
-                if gene_id not in gene_calls:
-                    # We make an on-the-fly gene call dict. See the NOTE in
-                    # profiler.BAMProfiler.populate_gene_info_for_splits if you are confused by why
-                    # we do not pass this information to split beforehand.
-                    #
-                    # We need to access gene-wide attributes from per-nt arrays, so any index in the
-                    # array will suffice, so long as it corresponds to the gene_id. We arbitrarily
-                    # pick the index corresponding to the genes starting position
-                    accessor = gene_overlap_start - self.split.start
-                    gene_calls[gene_id] = {
-                        'contig': self.split.parent,
-                        'start': self.split.per_position_info['gene_start'][accessor],
-                        'stop': self.split.per_position_info['gene_stop'][accessor],
-                        'direction': 'f' if self.split.per_position_info['forward'][accessor] else 'r',
-                        'call_type': constants.gene_call_types['CODING'] if self.split.per_position_info['in_coding_gene_call'][accessor] else 2,
-                    }
-
-                gene_call = gene_calls[gene_id]
-
-                if gene_call['call_type'] != constants.gene_call_types['CODING']:
-                    # We cannot handle non-coding genes because they have no frame
-                    continue
-
-                for gapless_segment in read.iterate_blocks_by_mapping_type(mapping_type=0, array=segment_that_overlaps_gene):
-                    block_start, block_end = gapless_segment[0, 0], gapless_segment[-1, 0] + 1
-
-                    if block_end - block_start < 3:
-                        # This block does not contain a full codon
-                        continue
-
-                    block_start_split = block_start - self.split.start
-                    block_end_split = block_end - self.split.start
-
-                    # this read must not contribute to codons it does not fully cover. Hence, we
-                    # must determine by how many nts on each side we must trim
-                    base_positions = self.split.per_position_info['base_pos_in_codon'][block_start_split:block_end_split]
-
-                    first_pos = utils.find_value_index(base_positions, (1 if gene_call['direction'] == 'f' else 3))
-                    last_pos = utils.find_value_index(base_positions, (3 if gene_call['direction'] == 'f' else 1), reverse_search=True)
-
-                    if last_pos - first_pos < 3:
-                        # the required trimming creates a sequence that is less than a codon long.
-                        # We cannot use this read.
-                        continue
-
-                    # At this point, we are 100% sure this segment of the read will contribute to SCVs
-                    gapless_segment = gapless_segment[first_pos:(last_pos+1), :]
-
-                    # Update these for posterity
-                    block_start_split += first_pos
-                    block_end_split -= block_end - block_start - last_pos - 1
-
-                    if gene_id not in gene_allele_counts:
-                        # This is the first time a read has contributed to this gene_id, so we log
-                        # its reference codon sequence and initialize an allele counts array
-                        reference_codon_sequences[gene_id] = self.get_codon_sequence_for_gene(gene_call)
-                        gene_allele_counts[gene_id] = self.init_allele_counts_array(gene_call)
-
-                    codon_sequence_as_index = (
-                        utils.nt_seq_to_codon_num_array(gapless_segment[:, 1], is_ord=True)
-                        if gene_call['direction'] == 'f'
-                        else utils.nt_seq_to_RC_codon_num_array(gapless_segment[:, 1], is_ord=True)
-                    )
-
-                    start, stop = self.split.per_position_info['codon_order_in_gene'][[block_start_split, block_end_split - 1]]
-                    if gene_call['direction'] == 'r': start, stop = stop, start
-                    codon_orders = np.arange(start, stop + 1)
-
-                    # Codons with ambiguous characters have index values of 64. Remove them here
-                    codon_orders = codon_orders[codon_sequence_as_index <= 63]
-                    codon_sequence_as_index = codon_sequence_as_index[codon_sequence_as_index <= 63]
-
-                    gene_allele_counts[gene_id] = utils.add_to_2D_numeric_array(
-                        codon_sequence_as_index,
-                        codon_orders,
-                        gene_allele_counts[gene_id]
-                    )
-
-            read_count += 1
-
-        if anvio.DEBUG: self.run.info_single('Done SCVs for %s (%d reads processed)' % (self.split.name, read_count), nl_before=0, nl_after=0)
-
-        for gene_id in gene_allele_counts:
-            allele_counts = gene_allele_counts[gene_id]
-
-            if not np.sum(allele_counts):
-                # There were no viable reads that landed on the gene
-                continue
-
-            cdn_profile = ProcessCodonCounts(
-                allele_counts=allele_counts,
-                allele_to_array_index=self.cdn_to_array_index,
-                sequence=reference_codon_sequences[gene_id],
-                min_coverage_for_variability=1,
-            )
-
-            # By design, we include SCVs only if they contain a SNV--filter out those that do not
-            codon_orders_that_contain_SNVs = self.get_codon_orders_that_contain_SNVs(gene_id)
-            if len(codon_orders_that_contain_SNVs):
-                # Only keep those that contain SNVs
-                cdn_profile.filter(codon_orders_that_contain_SNVs)
-            else:
-                # No codon orders contain SNVs
-                continue
-
-            if cdn_profile.process(skip_competing_items=True):
-                # Processing allele counts yielded a non-zero number of codons being kept
-                self.split.SCV_profiles[gene_id] = cdn_profile.d
-                self.split.num_SCV_entries[gene_id] = len(cdn_profile.d['coverage'])
-            else:
-                # There were no codon positions worth keeping. We do not add this gene to
-                # self.split.SCV_profiles
-                pass
-
-        if anvio.DEBUG: self.run.info_single('%d SCVs to report' % (sum(self.split.num_SCV_entries.values())), nl_before=0, nl_after=0, level=2)
-
-
-    def get_codon_orders_that_contain_SNVs(self, gene_id):
-        """Helper for run_SCVs"""
-
-        matches_gene_boolean = self.split.SNV_profiles['corresponding_gene_call'] == gene_id
-
-        return np.unique(self.split.SNV_profiles['codon_order_in_gene'][matches_gene_boolean])
-
-
-    def get_codon_sequence_for_gene(self, gene_call):
-        """Helper for run_SCVs"""
-
-        seq_dict = {self.split.parent: {'sequence': self.split.sequence}}
-
-        return utils.get_list_of_codons_for_gene_call(gene_call, seq_dict, subtract_by=self.split.start)
-
-
-    def init_allele_counts_array(self, gene_call):
-        """Create the array that will house the codon allele counts for a gene"""
-
-        allele_counts_array_shape = (len(constants.codons), (gene_call['stop'] - gene_call['start']) // 3)
-
-        return np.zeros(allele_counts_array_shape)
-
-
-    def run_SNVs_and_indels(self, bam):
-        """Profile SNVs (and indels if not self.skip_INDEL_profiling)
-
-        Parameters
-        ==========
-        bam : bamops.BAMFileObject
-
-        Notes
-        =====
-        See `variability-profile` artifact under anvio/docs/artifacts for details.
-        """
-
-        additional_per_position_data = self.split.per_position_info
-        additional_per_position_data.update({
-            'cov_outlier_in_split': self.split.coverage.is_outlier.astype(int),
-            'cov_outlier_in_contig': self.split.coverage.is_outlier_in_parent.astype(int),
-        })
-
-        if not self.skip_INDEL_profiling:
-            indels = {}
-            get_indel_entry = lambda indel_type, seq, pos, length: OrderedDict([
-                ('split_name', self.split.name),
-                ('pos', pos),
-                ('pos_in_contig', pos + self.split.start),
-                ('corresponding_gene_call', additional_per_position_data['corresponding_gene_call'][pos]),
-                ('in_noncoding_gene_call', additional_per_position_data['in_noncoding_gene_call'][pos]),
-                ('in_coding_gene_call', additional_per_position_data['in_coding_gene_call'][pos]),
-                ('base_pos_in_codon', additional_per_position_data['base_pos_in_codon'][pos]),
-                ('codon_order_in_gene', additional_per_position_data['codon_order_in_gene'][pos]),
-                ('cov_outlier_in_split', additional_per_position_data['cov_outlier_in_split'][pos]),
-                ('cov_outlier_in_contig', additional_per_position_data['cov_outlier_in_contig'][pos]),
-                ('reference', self.split.sequence[pos]),
-                ('type', indel_type),
-                ('sequence', seq),
-                ('length', length),
-                ('count', 1),
-            ])
-
-        # make an array with as many rows as there are nucleotides in the split, and as many rows as
-        # there are nucleotide types. Each nucleotide (A, C, T, G, N) gets its own row which is
-        # defined by the self.nt_to_array_index dictionary
-        allele_counts_array_shape = (len(constants.nucleotides), self.split.length)
-        allele_counts_array = np.zeros(allele_counts_array_shape)
-
-        # Decide how we want to iterate through reads
-        if self.min_percent_identity:
-            read_iterator = bam.fetch_filter_and_trim
-            kwargs = {'percent_id_cutoff': self.min_percent_identity}
-        else:
-            read_iterator = bam.fetch_and_trim
-            kwargs = {}
-
-        read_count = 0
-        for read in read_iterator(self.split.parent, self.split.start, self.split.end, **kwargs):
-            aligned_sequence_as_ord, reference_positions = read.get_aligned_sequence_and_reference_positions()
-            aligned_sequence_as_index = utils.nt_seq_to_nt_num_array(aligned_sequence_as_ord, is_ord=True)
-            reference_positions_in_split = reference_positions - self.split.start
-
-            allele_counts_array = utils.add_to_2D_numeric_array(aligned_sequence_as_index, reference_positions_in_split, allele_counts_array)
-
-            if not self.skip_INDEL_profiling:
-                read.vectorize()
-
-                for ins_segment in read.iterate_blocks_by_mapping_type(mapping_type=1):
-                    # Get the position and sequence of the insertion, create hash as a key for storage
-                    ins_seq = ''.join([chr(x) for x in ins_segment[:, 1]])
-                    ins_pos = ins_segment[0, 0] - self.split.start
-                    indel_hash = hash((ins_pos, ins_seq))
-
-                    if indel_hash in indels:
-                        indels[indel_hash]['count'] += 1
-                    else:
-                        indels[indel_hash] = get_indel_entry(
-                            indel_type='INS',
-                            seq=ins_seq,
-                            pos=ins_pos,
-                            length=len(ins_seq),
-                        )
-
-                for del_segment in read.iterate_blocks_by_mapping_type(mapping_type=2):
-                    # Get the position and length of the deletion, create hash as a key for storage
-                    del_len = del_segment.shape[0]
-                    del_pos = del_segment[0, 0] - self.split.start
-                    indel_hash = hash((del_pos, del_len))
-
-                    if indel_hash in indels:
-                        indels[indel_hash]['count'] += 1
-                    else:
-                        indels[indel_hash] = get_indel_entry(
-                            indel_type='DEL',
-                            seq='',
-                            pos=del_pos,
-                            length=del_len,
-                        )
-
-            read_count += 1
-
-        if anvio.DEBUG: self.run.info_single('Done SNVs for %s (%d reads processed)' % (self.split.name, read_count), nl_before=0, nl_after=0)
-
-        split_as_index = utils.nt_seq_to_nt_num_array(self.split.sequence)
-        nt_profile = ProcessNucleotideCounts(
-            allele_counts=allele_counts_array,
-            allele_to_array_index=self.nt_to_array_index,
-            sequence=self.split.sequence,
-            sequence_as_index=split_as_index,
-            min_coverage_for_variability=self.min_coverage_for_variability,
-            test_class=variability_test_class_null if self.report_variability_full else variability_test_class_default,
-            additional_per_position_data=additional_per_position_data,
-        )
-        nt_profile.process()
-        self.split.SNV_profiles = nt_profile.d
-
-        if not self.skip_INDEL_profiling:
-            indel_profile = ProcessIndelCounts(
-                indels=indels,
-                coverage=allele_counts_array.sum(axis=0),
-                test_class=variability_test_class_null if self.report_variability_full else variability_test_class_default,
-                min_coverage_for_variability=self.min_coverage_for_variability if not self.report_variability_full else 1,
-            )
-            indel_profile.process()
-            self.split.INDEL_profiles = indel_profile.indels
-
-        self.split.num_SNV_entries = len(nt_profile.d['coverage'])
-        self.split.num_INDEL_entries = len(self.split.INDEL_profiles)
-        self.variation_density = self.split.num_SNV_entries * 1000.0 / self.split.length
-
-        if anvio.DEBUG: self.run.info_single('%d SNVs to report' % (self.split.num_SNV_entries), nl_before=0, nl_after=0, level=2)
-        if anvio.DEBUG: self.run.info_single('%d INDELs to report' % (self.split.num_INDEL_entries), nl_before=0, nl_after=0, level=2)
-
-
-class GenbankToAnvioWrapper:
-    """An ad hoc class that takes a metadata file generated by `ncbi-genome-download`"""
-
-    def __init__(self, args, run=terminal.Run(), progress=terminal.Progress()):
-        self.args = args
-
-        self.run = run
-        self.progress = progress
-
-        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
-        self.metadata_file_path = A('metadata')
-        self.output_directory_path = os.path.abspath(A('output_dir') or os.path.curdir)
-        self.output_fasta_descriptor = A('output_fasta_txt') or os.path.join(self.output_directory_path, 'fasta-input.txt')
-        self.exclude_gene_calls_from_fasta_txt = A('exclude_gene_calls_from_fasta_txt')
-
-
-    def sanity_check(self):
-        filesnpaths.is_file_tab_delimited(self.metadata_file_path)
-
-        if os.path.exists(self.output_directory_path):
-            filesnpaths.is_output_dir_writable(self.output_directory_path)
-        else:
-            filesnpaths.gen_output_directory(self.output_directory_path)
-
-        filesnpaths.is_output_file_writable(self.output_fasta_descriptor)
-
-
-    def process(self):
-        self.sanity_check()
-
-        self.run.info('Input metadata file', self.metadata_file_path)
-        self.run.info('Output directory', self.output_directory_path)
-
-        columns = utils.get_columns_of_TAB_delim_file(self.metadata_file_path)
-        if 'organism_name' not in columns or 'local_filename' not in columns:
-            raise ConfigError("The metadata file you provided does not look like a metadata "
-                              "file output from the program `ncbi-genome-download` :/ Why? "
-                              "Because anvi'o expects that file to have at least the following "
-                              "two columns in it: 'organism_name' and 'local_filename'.")
-
-        metadata = utils.get_TAB_delimited_file_as_dictionary(self.metadata_file_path)
-
-        for entry in metadata:
-            if not os.path.exists(metadata[entry]['local_filename']):
-                raise ConfigError("At least one of the files in your metadata input does not seem to be "
-                                  "where they think they are :/ Please make sure the entry %s and others "
-                                  "point to proper local file paths..." % entry)
-
-        self.run.info('Num entries in metadata', len(metadata))
-
-        output_fasta_dict = {}
-        self.progress.new("GenBank to anvi'o", progress_total_items=len(metadata))
-        for entry in metadata:
-            self.progress.increment()
-            self.progress.update('Processing %s ...' % entry)
-
-            # set the organism name and accession id and clean them from weird
-            # characters.
-            organism_name = metadata[entry]['organism_name']
-            for char in [c for c in organism_name if c not in OK_CHARS_FOR_ORGANISM_NAME]:
-                organism_name = organism_name.replace(char, '_')
-
-            accession_id = entry
-            for char in [c for c in accession_id if c not in OK_CHARS_FOR_ACCESSION]:
-                accession_id = accession_id.replace(char, '_')
-
-            final_name = '_'.join([organism_name, accession_id])
-
-            args = argparse.Namespace(input_genbank=metadata[entry]['local_filename'],
-                                      output_file_prefix=os.path.join(self.output_directory_path, final_name))
-            g = GenbankToAnvio(args, run=terminal.Run(verbose=False), progress=terminal.Progress(verbose=False))
-
-            if final_name in output_fasta_dict:
-                raise ConfigError("The final name '%s' for your genome has alrady been used by "
-                                  "another one :/ This should never happen unless your metadata "
-                                  "contains entries with identical accession numbers...")
-            output_fasta_dict[final_name] = g.process()
-
-        self.progress.end()
-
-        headers = ['name', 'path']
-        if not self.exclude_gene_calls_from_fasta_txt:
-            headers.extend(['external_gene_calls', 'gene_functional_annotation'])
-
-        utils.store_dict_as_TAB_delimited_file(output_fasta_dict, self.output_fasta_descriptor, headers=headers)
-
-        self.run.info('Output FASTA descriptor', self.output_fasta_descriptor)
-
-
-class GenbankToAnvio:
-    """A class to deal with GenBank files. The initial code was implemented by Mike Lee"""
-
-    def __init__(self, args, run=terminal.Run(), progress=terminal.Progress()):
-        self.args = args
-
-        self.run = run
-        self.progress = progress
-
-        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
-        self.input_genbank_path = A('input_genbank')
-        self.output_file_prefix = A('output_file_prefix')
-        self.output_fasta_path = A('output_fasta')
-        self.output_functions_path = A('output_functions')
-        self.output_gene_calls_path = A('output_gene_calls')
-        self.source = A('annotation_source') or 'NCBI_PGAP'
-        self.version = A('annotation_version') or 'v4.6'
-        self.omit_aa_sequences_column = A('omit_aa_sequences_column') or False
-
-        # gene callers id start from 0. you can change your instance
-        # prior to processing the genbank file to start from another
-        # value
-        self.gene_callers_id = 0
-
-        # dumping gene if noted as these in the "note" section of the call
-        self.note_terms_to_exclude = ["frameshifted", "internal stop", "incomplete"]
-
-        # dumping gene if "location" section contains any of these: "join" means the
-        # gene call spans multiple contigs; "<" or ">" means the gene call runs off a contig
-        # FIXME join does not necessarily mean the gene call spans multiple columns. See the first
-        # gene here to see an instance where this is not true: https://www.ncbi.nlm.nih.gov/nuccore/MN908947
-        self.location_terms_to_exclude = ["join", "<", ">"]
-
-
-    def sanity_check(self):
-        if self.output_file_prefix and (self.output_fasta_path or self.output_functions_path or self.output_gene_calls_path):
-            raise ConfigError("Your arguments contain an output file prefix, and other output file paths. You can either "
-                              "define a prefix, and the output files would be named accordingly (such as 'PREFIX-extenral-gene-calls', "
-                              "'PREFIX-external-functions.txt', and 'PREFIX-contigs.fa'), ORRR you can set output file names "
-                              "or paths for each of these files independently. You can also leave it as is for default file names to "
-                              "be used. But you can't mix everything together and confuse us here.")
-
-        self.output_fasta_path = self.output_fasta_path or 'contigs.fa'
-        self.output_functions_path = self.output_functions_path or 'external-functions.txt'
-        self.output_gene_calls_path = self.output_gene_calls_path or 'external-gene-calls.txt'
-
-        if self.output_file_prefix:
-            J = lambda x: '-'.join([self.output_file_prefix, x])
-            self.output_fasta_path = J(self.output_fasta_path)
-            self.output_functions_path = J(self.output_functions_path)
-            self.output_gene_calls_path = J(self.output_gene_calls_path)
-
-        filesnpaths.is_output_file_writable(self.output_fasta_path)
-        filesnpaths.is_output_file_writable(self.output_functions_path)
-        filesnpaths.is_output_file_writable(self.output_gene_calls_path)
-        filesnpaths.is_file_exists(self.input_genbank_path)
-
-        files_already_exist = [f for f in [self.output_fasta_path, self.output_functions_path, self.output_gene_calls_path] if os.path.exists(f)]
-        if len(files_already_exist):
-            raise ConfigError("Some of the output files already exist :/ Anvi'o feels uneasy about simply overwriting "
-                              "them and would like to outsource that risk to you. Please either use different output "
-                              "file names, or delete these files and come back: '%s'" % (', '.join(files_already_exist)))
-
-
-    def get_genbank_file_object(self):
-        try:
-            if self.input_genbank_path.endswith('.gz'):
-                genbank_file_object = SeqIO.parse(io.TextIOWrapper(gzip.open(self.input_genbank_path, 'r')), "genbank")
-            else:
-                genbank_file_object = SeqIO.parse(open(self.input_genbank_path, "r"), "genbank")
-        except Exception as e:
-            raise ConfigError("Someone didn't like your unput 'genbank' file :/ Here's what they said "
-                              "about it: '%s'." % e)
-
-        return genbank_file_object
-
-
-    def process(self):
-        self.sanity_check()
-
-        output_fasta = {}
-        output_gene_calls = {}
-        output_functions = {}
-        num_genbank_records_processed = 0
-        num_genes_found = 0
-        num_genes_reported = 0
-        num_genes_with_AA_sequences = 0
-        num_partial_genes = 0
-        num_genes_with_functions = 0
-
-        num_genes_excluded = 0
-        genes_excluded = set([])
-
-        # A very quick look at the genbank file to see if translated sequences are present in it
-        aa_sequences_present = False
-        for genbank_record in self.get_genbank_file_object():
-            genes = [gene for gene in genbank_record.features if gene.type =="CDS"]
-
-            # clearly, not every genebank record has to have genes.
-            # just like not every bank has to have money I guess.
-            # IRONIES OF LIFE BUT IN CODING SPACE BECAUSE BIOINFORMATICS.
-            if not len(genes):
-                continue
-
-            # do we have AA sequences in this?
-            if 'translation' in genes[0].qualifiers:
-                aa_sequences_present = True
-
-            if aa_sequences_present and self.omit_aa_sequences_column:
-                aa_sequences_present = False
-                self.run.info_single("Amino acid sequences seem to be present in this GFF file, but you wanted anvi'o "
-                                     "to not report them. FINE. They shall be ignored.", nl_after=1)
-                break
-
-        # The main loop to go through all records forreals.
-        for genbank_record in self.get_genbank_file_object():
-            num_genbank_records_processed += 1
-            output_fasta[genbank_record.name] = str(genbank_record.seq)
-
-            genes = [gene for gene in genbank_record.features if gene.type =="CDS"] # focusing on features annotated as "CDS" by NCBI's PGAP
-
-            for gene in genes:
-                num_genes_found += 1
-                location = str(gene.location)
-                # "join" in `location` means that the gene call spans multiple contigs
-                # so we exclude it here:
-                if 'join' in location:
-                    num_genes_excluded += 1
-                    if 'protein_id' in gene.qualifiers:
-                        genes_excluded.add(gene.qualifiers['protein_id'][0])
-
-                    continue
-
-                if "note" in gene.qualifiers:
-                    note = str(gene.qualifiers["note"][0])
-
-                    # dumping gene if noted as any of these in the "note" section set above
-                    if any(exclusion_term in note for exclusion_term in self.note_terms_to_exclude):
-                        continue
-
-                # dumping if overlapping translation frame
-                if "transl_except" in gene.qualifiers:
-                    continue
-
-                # dumping if gene declared a pseudogene
-                if "pseudo" in gene.qualifiers or "pseudogene" in gene.qualifiers:
-                    continue
-
-                # The character "<" or ">" in `location `means the gene call runs off a contig, so it
-                # is best to mark it as impartial:
-                if ('<' in location or '>' in location):
-                    partial = 1
-                    num_partial_genes += 1
-                else:
-                    partial = 0
-
-                # cleaning up gene coordinates to more easily parse:
-                location = location.replace("[", "").replace('>', '').replace('<', '')
-                location = re.sub('](.*)', '', location)
-                location = location.split(":")
-
-                start = location[0] # start coordinate
-                end = location[1] # end coordinate
-
-                # setting direction to "f" or "r":
-                if gene.strand == 1:
-                    direction="f"
-                else:
-                    direction="r"
-
-                # for accession, storing protein id if it has one, else the the locus tag, else "None"
-                if "protein_id" in gene.qualifiers:
-                    accession = gene.qualifiers["protein_id"][0]
-                elif "locus_tag" in gene.qualifiers:
-                    accession = gene.qualifiers["locus_tag"][0]
-                else:
-                    accession = "None"
-
-                # storing gene product annotation if present
-                if "product" in gene.qualifiers:
-                    function = gene.qualifiers["product"][0]
-                    # trying to capture all different ways proteins are listed as hypothetical and setting to same thing so can prevent from adding to output functions table below
-                    if function in ["hypothetical", "hypothetical protein", "conserved hypothetical", "conserved hypotheticals", "Conserved hypothetical protein"]:
-                        function = "hypothetical protein"
-                else:
-                    function = "hypothetical protein"
-
-                # if present, adding gene name to product annotation (so long as not a hypothetical, sometimes these names are useful, sometimes they are not):
-                if "gene" in gene.qualifiers:
-                    if function not in "hypothetical protein":
-                        gene_name=str(gene.qualifiers["gene"][0])
-                        function = function + " (" + gene_name + ")"
-
-                output_gene_calls[self.gene_callers_id] = {'contig': genbank_record.name,
-                                                           'start': start,
-                                                           'stop': end,
-                                                           'direction': direction,
-                                                           'partial': partial,
-                                                           'call_type': 1,
-                                                           'source': self.source,
-                                                           'version': self.version}
-
-                # let's keep the amino acid sequences if present
-                if aa_sequences_present:
-                    if 'translation' in gene.qualifiers and not partial:
-                        output_gene_calls[self.gene_callers_id]['aa_sequence'] = gene.qualifiers["translation"][0]
-                        num_genes_with_AA_sequences += 1
-                    else:
-                        output_gene_calls[self.gene_callers_id]['aa_sequence'] = ''
-
-                num_genes_reported += 1
-
-                # not writing gene out to functions table if no annotation
-                if "hypothetical protein" not in function:
-                    output_functions[self.gene_callers_id] = {'source': self.source,
-                                                              'accession': accession,
-                                                              'function': function,
-                                                              'e_value': 0}
-                    num_genes_with_functions += 1
-
-                # increment the gene callers id fo rthe next
-                self.gene_callers_id += 1
-
-        if num_genbank_records_processed == 0:
-            raise ConfigError("It seems there was no records in your input genbank file :/ Are you sure you "
-                              "gave the right file path that actually resolves to a genbank formatted "
-                              "text file?")
-
-        self.run.info('Num GenBank entries processed', num_genbank_records_processed)
-        self.run.info('Num gene records found', num_genes_found)
-        self.run.info('Num genes reported', num_genes_reported, mc='green')
-        self.run.info('Num genes with AA sequences', num_genes_with_AA_sequences, mc='green')
-        self.run.info('Num genes with functions', num_genes_with_functions, mc='green')
-        self.run.info('Num partial genes', num_partial_genes, mc='cyan')
-        self.run.info('Num genes excluded', num_genes_excluded, mc='red', nl_after=1)
-
-        if num_genes_excluded:
-            msg = (f"A total of {num_genes_excluded} in this file were excluded during the processing of "
-                   f"the GFF file because they were marked as 'spanning multiple contigs'.")
-                # dumping gene if "location" section contains any of these terms set above: "join" means
-                # the gene call spans multiple contigs; "<" or ">" means the gene call runs off a contig
-            if len(genes_excluded):
-                self.run.warning(msg + "Here are some protein IDs from the file that were associated with "
-                                 f"them: {', '.join(genes_excluded)}. But please note that such genes that "
-                                 f"span multiple contigs are often associated with multiple 'protein IDs' in "
-                                 f"the GFF description, and this list includes only the first protein ID if "
-                                 f"there are multiple. In addition, not every gene that spans across multiple "
-                                 f"contigs will have a protein ID, so you will not see them in this list :/ "
-                                 f"If you think anvi'o should try to include them in its report anyway, let us "
-                                 f"know.", header="WEIRD GENE CALLS EXCLUDED")
-            else:
-                self.run.warning(msg, header="WERID GENE CALLS EXCLUDED")
-
-        if aa_sequences_present and num_partial_genes > 1:
-            self.run.warning(f"Anvi'o found out that aminio acid seqeunces were present in the GFF file, so it "
-                             f"reported them in the external gene calls file. But the {num_partial_genes} that "
-                             f"were marked as partial in the GFF file, there will not be any amino acid sequences. "
-                             f"Alternatively, you could use the flag `--omit-aa-seqeunces-column` to instruct "
-                             f"this program to report an external gene calls file WITHOUT an amino acid sequences, "
-                             f"column. When it is missing, anvi'o would do its best to translate your gene calls "
-                             f"and may be able to find out what to do with your partial gene calls. But it usually "
-                             f"is a MUCH better idea to learn translated sequences from a GFF file since they may "
-                             f"include careful consideration of organism-specific genetic code.",
-                             header="JUSTICE FOR PARTIAL GENES: NOT FOUND")
-
-        # time to write these down:
-        utils.store_dict_as_FASTA_file(output_fasta,
-                                       self.output_fasta_path,
-                                       wrap_from=None)
-        self.run.info('FASTA file path', self.output_fasta_path)
-
-        if len(output_gene_calls):
-            header_for_external_gene_calls = ["gene_callers_id", "contig", "start", "stop", "direction", "partial", "call_type", "source", "version"]
-            header_for_functions = ['gene_callers_id', 'source', 'accession', 'function', 'e_value']
-
-            if aa_sequences_present:
-                header_for_external_gene_calls.append('aa_sequence')
-
-            utils.store_dict_as_TAB_delimited_file(output_gene_calls,
-                                                   self.output_gene_calls_path,
-                                                   headers=header_for_external_gene_calls)
-
-            utils.store_dict_as_TAB_delimited_file(output_functions,
-                                                   self.output_functions_path,
-                                                   headers=header_for_functions)
-
-            self.run.info('External gene calls file', self.output_gene_calls_path)
-            self.run.info('TAB-delimited functions', self.output_functions_path)
-        else:
-            self.output_gene_calls_path = None
-            self.output_functions_path = None
-            self.run.warning("Anvi'o couldn't find any gene calles in the GenBank file, hence you will get "
-                             "no output files for external gene calls or functions :/ We hope you can "
-                             "survive this terrible terrible news :(")
-
-        self.run.info_single('Mmmmm ☘ ', nl_before=1, nl_after=1)
-
-        return {'external_gene_calls': self.output_gene_calls_path,
-                'gene_functional_annotation': self.output_functions_path,
-                'path': self.output_fasta_path}
-

From 3ee4acf50c4f3e86ade2a3fd6d91cc3d3ffe3f98 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 Aug 2022 00:11:02 -0700
Subject: [PATCH 0765/1020] not the whole thing

---
 anvio/contigops.py | 949 +++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 949 insertions(+)
 create mode 100644 anvio/contigops.py

diff --git a/anvio/contigops.py b/anvio/contigops.py
new file mode 100644
index 0000000000..f929ea9354
--- /dev/null
+++ b/anvio/contigops.py
@@ -0,0 +1,949 @@
+# -*- coding: utf-8
+# pylint: disable=line-too-long
+"""Classes and functions for handling, storing, and retrieving atomic data
+   from contigs and splits. Also includes classes to deal with external
+   contig data such as GenbankToAnvio."""
+
+import os
+import re
+import io
+import gzip
+import numpy as np
+import string
+import argparse
+
+from Bio import SeqIO
+from collections import OrderedDict
+
+import anvio
+import anvio.utils as utils
+import anvio.terminal as terminal
+import anvio.constants as constants
+import anvio.filesnpaths as filesnpaths
+
+from anvio.errors import ConfigError
+from anvio.variability import VariablityTestFactory, ProcessNucleotideCounts, ProcessCodonCounts, ProcessIndelCounts
+
+
+__author__ = "Developers of anvi'o (see AUTHORS.txt)"
+__copyright__ = "Copyleft 2015-2018, the Meren Lab (http://merenlab.org/)"
+__credits__ = ["Mike Lee", "Faruk Uzun"]
+__license__ = "GPL 3.0"
+__version__ = anvio.__version__
+__maintainer__ = "A. Murat Eren"
+__email__ = "a.murat.eren@gmail.com"
+__status__ = "Development"
+
+
+OK_CHARS_FOR_ORGANISM_NAME = string.ascii_letters + string.digits + '_'
+OK_CHARS_FOR_ACCESSION = OK_CHARS_FOR_ORGANISM_NAME
+
+# These filter SNVs and INDELs, respectively, based on a coverage-dependent departure from reference value
+variability_test_class_default = VariablityTestFactory(params={'b': 2, 'm': 1.45, 'c': 0.05})
+indel_test_class_default = VariablityTestFactory(params={'b': 2, 'm': 1.45, 'c': 0.05})
+
+# These are null filters, which do not filter SNVs and INDELs based on a coverage-dependent departure from reference value
+variability_test_class_null = VariablityTestFactory(params=None)
+indel_test_class_null = VariablityTestFactory(params=None)
+
+
+def gen_split_name(parent_name, order):
+    return '_'.join([parent_name, 'split', '%05d' % (order + 1)])
+
+
+def get_atomic_data(sample_id, contigs, atomic_data_field):
+    """Takes a list of contigops.Contig objects, and returns views for an atomic_data_field"""
+
+    atomic_data_contigs = []
+    atomic_data_splits = []
+
+    # this loop will get atomic_data information from Contig instanes and store them into the db
+    # at once. this was broken down into about 10 functions, but this structure seems to be the most efficient
+    # although it looks crappy:
+    for contig in contigs:
+        contig_atomic_data = contig.get_atomic_data_dict(atomic_data_field)
+
+        for split in contig.splits:
+            atomic_data_contigs.append((split.name, sample_id, contig_atomic_data), )
+
+        # contig is done, deal with splits in it:
+        for split in contig.splits:
+            split_atomic_data = split.get_atomic_data_dict(atomic_data_field)
+            atomic_data_splits.append((split.name, sample_id, split_atomic_data), )
+
+    return atomic_data_splits, atomic_data_contigs
+
+
+class Contig:
+    def __init__(self, name):
+        self.name = name
+        self.sequence = None
+        self.parent = None
+        self.splits = []
+        self.length = 0
+        self.abundance = 0.0
+        self.coverage = anvio.bamops.Coverage()
+
+        self.skip_SNV_profiling = False
+
+
+    def get_atomic_data_dict(self, atomic_data_field):
+        d = {'std_coverage': self.coverage.std,
+             'mean_coverage': self.coverage.mean,
+             'mean_coverage_Q2Q3': self.coverage.mean_Q2Q3,
+             'detection': self.coverage.detection,
+             'abundance': self.abundance,
+             'variability': sum(s.auxiliary.variation_density for s in self.splits) if not self.skip_SNV_profiling else None}
+
+        return d[atomic_data_field]
+
+
+    def analyze_coverage(self, bam, min_percent_identity):
+
+        if min_percent_identity is None:
+            self.coverage.run(
+                bam,
+                self,
+                read_iterator='fetch',
+                max_coverage=anvio.auxiliarydataops.DEFAULT_COVERAGE_MAX_VALUE,
+            )
+        else:
+            self.coverage.run(
+                bam,
+                self,
+                read_iterator='fetch_filter_and_trim',
+                max_coverage=anvio.auxiliarydataops.DEFAULT_COVERAGE_MAX_VALUE,
+                percent_id_cutoff=min_percent_identity,
+            )
+
+        if len(self.splits) == 1:
+            # Coverage.process_c is a potentially expensive operation (taking up ~90% of the time of
+            # analyze_coverage when coverage is low (but when coverage is >500X, the time taken is
+            # ~1%)). Regardless, this clause exists to catch the somewhat common occurence when a
+            # contig only has one split. In this case, the contig _is_ the split, and so all of the
+            # split.coverage attributes can simply be referenced directly from contig.coverage
+            split = self.splits[0]
+            split.coverage = anvio.bamops.Coverage()
+            split.coverage.c = self.coverage.c
+            split.coverage.min = self.coverage.min
+            split.coverage.max = self.coverage.max
+            split.coverage.median = self.coverage.median
+            split.coverage.mean = self.coverage.mean
+            split.coverage.std = self.coverage.std
+            split.coverage.detection = self.coverage.detection
+            split.coverage.is_outlier = self.coverage.is_outlier
+            split.coverage.is_outlier_in_parent = self.coverage.is_outlier
+            split.coverage.mean_Q2Q3 = self.coverage.mean_Q2Q3
+            return
+
+        for split in self.splits:
+            split.coverage = anvio.bamops.Coverage()
+            split.coverage.c = self.coverage.c[split.start:split.end]
+            split.coverage.is_outlier_in_parent = self.coverage.is_outlier[split.start:split.end]
+            split.coverage.process_c(split.coverage.c)
+
+
+class Split:
+    def __init__(self, name, sequence, parent, order, start=0, end=0):
+        self.name = name
+        self.sequence = sequence
+        self.parent = parent
+        self.end = end
+        self.order = order
+        self.start = start
+        self.length = end - start
+        self.explicit_length = 0
+        self.abundance = 0.0
+        self.auxiliary = None
+        self.num_SNV_entries = 0
+        self.num_INDEL_entries = 0
+        self.num_SCV_entries = {}
+        self.SNV_profiles = {}
+        self.SCV_profiles = {}
+        self.INDEL_profiles = {}
+        self.per_position_info = {} # stores per nt info that is not coverage
+
+
+    def get_atomic_data_dict(self, atomic_data_field):
+        d = {'std_coverage': self.coverage.std,
+             'mean_coverage': self.coverage.mean,
+             'mean_coverage_Q2Q3': self.coverage.mean_Q2Q3,
+             'detection': self.coverage.detection,
+             'abundance': self.abundance,
+             'variability': self.auxiliary.variation_density if self.auxiliary else None}
+
+        return d[atomic_data_field]
+
+
+class Auxiliary:
+    def __init__(self, split, min_coverage_for_variability=10, report_variability_full=False,
+                 profile_SCVs=False, skip_INDEL_profiling=False, skip_SNV_profiling=False, min_percent_identity=None):
+
+        if anvio.DEBUG:
+            self.run = terminal.Run()
+
+        self.split = split
+        self.variation_density = 0.0
+        self.min_coverage_for_variability = min_coverage_for_variability
+        self.min_percent_identity = min_percent_identity
+        self.skip_SNV_profiling = skip_SNV_profiling
+        self.profile_SCVs = profile_SCVs
+        self.skip_INDEL_profiling = skip_INDEL_profiling
+        self.report_variability_full = report_variability_full
+
+        # used during array processing
+        self.nt_to_array_index = {nt: i for i, nt in enumerate(constants.nucleotides)}
+        self.cdn_to_array_index = {cdn: i for i, cdn in enumerate(constants.codons)}
+
+        if self.profile_SCVs:
+            if not all([necessary in self.split.per_position_info for necessary in ['forward', 'gene_start', 'gene_stop']]):
+                raise ConfigError("Auxiliary :: self.split.per_position_info does not contain the info required for SCV profiling")
+
+
+    def process(self, bam):
+        self.run_SNVs_and_indels(bam)
+
+        if self.profile_SCVs:
+            self.run_SCVs(bam)
+
+
+    def run_SCVs(self, bam):
+        """Profile SCVs
+
+        Parameters
+        ==========
+        bam : bamops.BAMFileObject
+
+        Notes
+        =====
+        - Loop through reads and then finding the genes it overlaps with has proven to be the
+          fastest way to do this. Looping through genes with fetch(self.split.parent, gene_start,
+          gene_stop) is approximately twice as slow because trimming is expensive, and I/O
+          operations on the BAM file suffer
+        """
+
+        reference_codon_sequences = {}
+        gene_allele_counts = {}
+        gene_calls = {}
+
+        genes_with_SNVs = set(self.split.SNV_profiles['corresponding_gene_call'])
+
+        # Decide how we want to iterate through reads
+        if self.min_percent_identity:
+            read_iterator = bam.fetch_filter_and_trim
+            kwargs = {'percent_id_cutoff': self.min_percent_identity}
+        else:
+            read_iterator = bam.fetch_and_trim
+            kwargs = {}
+
+        read_count = 0
+        for read in read_iterator(self.split.parent, self.split.start, self.split.end, **kwargs):
+            # This loop will be making extensive use of the vectorized form of Read, so it is well
+            # worth the time to vectorize it right off the bat
+            read.vectorize()
+
+            # Although rare, the read can overlap multiple genes. To generalize, we loop through the
+            # genes the read overlaps with. If the read overlaps just one, shortcuts are taken
+            # _within_ the loop.
+
+            gene_id_per_nt_in_read = self.split.per_position_info['corresponding_gene_call'][
+                (read.reference_start - self.split.start):(read.reference_end - self.split.start)
+            ]
+
+            genes_in_read = set(gene_id_per_nt_in_read)
+
+            for gene_id in genes_in_read:
+
+                if gene_id == -1:
+                    continue
+
+                if gene_id not in genes_with_SNVs:
+                    # By design, we include SCVs only if they contain a SNV. In this case, there were no
+                    # SNVs in the gene so there is nothing to do.
+                    continue
+
+                if len(genes_in_read) == 1:
+                    # The read maps entirely to 1 gene. Easy peasy.
+                    gene_overlap_start = read.reference_start
+                    segment_that_overlaps_gene = read.v
+                else:
+                    # Okay, we need to do some work to get the segment that overlaps
+
+                    # FIXME There is something extremely rare that can happen that leads to an
+                    # inaccuracy. Here's the situation: A read completely covers a very small gene
+                    # that is _fully_ inside another gene (such a situation can happen when running
+                    # tRNA HMMs). Since the genes overlap, the nt positions in the small gene are
+                    # given a value of -1, so gene_id_per_nt_in_read looks like [42, 42, 42, 42, -1,
+                    # ..., -1, 42, 42]. The portion of the read after the consecutive -1's will be
+                    # trimmed and not included. The solution to this problem is to better manage
+                    # which genes we include for SCV analysis, but the problem is that the
+                    # vectorized data we use for gene information (nt_position_info) has these
+                    # overlapping gene segments pre-baked in.
+                    gene_overlap_start, gene_overlap_stop = utils.get_constant_value_blocks(gene_id_per_nt_in_read, gene_id)[0]
+                    gene_overlap_start += read.reference_start
+                    gene_overlap_stop += read.reference_start - 1
+                    start_index = utils.find_value_index(read[:, 0], gene_overlap_start)
+                    stop_index = utils.find_value_index(read[:, 0], gene_overlap_stop)
+                    segment_that_overlaps_gene = read[start_index:stop_index+1]
+
+                if gene_id not in gene_calls:
+                    # We make an on-the-fly gene call dict. See the NOTE in
+                    # profiler.BAMProfiler.populate_gene_info_for_splits if you are confused by why
+                    # we do not pass this information to split beforehand.
+                    #
+                    # We need to access gene-wide attributes from per-nt arrays, so any index in the
+                    # array will suffice, so long as it corresponds to the gene_id. We arbitrarily
+                    # pick the index corresponding to the genes starting position
+                    accessor = gene_overlap_start - self.split.start
+                    gene_calls[gene_id] = {
+                        'contig': self.split.parent,
+                        'start': self.split.per_position_info['gene_start'][accessor],
+                        'stop': self.split.per_position_info['gene_stop'][accessor],
+                        'direction': 'f' if self.split.per_position_info['forward'][accessor] else 'r',
+                        'call_type': constants.gene_call_types['CODING'] if self.split.per_position_info['in_coding_gene_call'][accessor] else 2,
+                    }
+
+                gene_call = gene_calls[gene_id]
+
+                if gene_call['call_type'] != constants.gene_call_types['CODING']:
+                    # We cannot handle non-coding genes because they have no frame
+                    continue
+
+                for gapless_segment in read.iterate_blocks_by_mapping_type(mapping_type=0, array=segment_that_overlaps_gene):
+                    block_start, block_end = gapless_segment[0, 0], gapless_segment[-1, 0] + 1
+
+                    if block_end - block_start < 3:
+                        # This block does not contain a full codon
+                        continue
+
+                    block_start_split = block_start - self.split.start
+                    block_end_split = block_end - self.split.start
+
+                    # this read must not contribute to codons it does not fully cover. Hence, we
+                    # must determine by how many nts on each side we must trim
+                    base_positions = self.split.per_position_info['base_pos_in_codon'][block_start_split:block_end_split]
+
+                    first_pos = utils.find_value_index(base_positions, (1 if gene_call['direction'] == 'f' else 3))
+                    last_pos = utils.find_value_index(base_positions, (3 if gene_call['direction'] == 'f' else 1), reverse_search=True)
+
+                    if last_pos - first_pos < 3:
+                        # the required trimming creates a sequence that is less than a codon long.
+                        # We cannot use this read.
+                        continue
+
+                    # At this point, we are 100% sure this segment of the read will contribute to SCVs
+                    gapless_segment = gapless_segment[first_pos:(last_pos+1), :]
+
+                    # Update these for posterity
+                    block_start_split += first_pos
+                    block_end_split -= block_end - block_start - last_pos - 1
+
+                    if gene_id not in gene_allele_counts:
+                        # This is the first time a read has contributed to this gene_id, so we log
+                        # its reference codon sequence and initialize an allele counts array
+                        reference_codon_sequences[gene_id] = self.get_codon_sequence_for_gene(gene_call)
+                        gene_allele_counts[gene_id] = self.init_allele_counts_array(gene_call)
+
+                    codon_sequence_as_index = (
+                        utils.nt_seq_to_codon_num_array(gapless_segment[:, 1], is_ord=True)
+                        if gene_call['direction'] == 'f'
+                        else utils.nt_seq_to_RC_codon_num_array(gapless_segment[:, 1], is_ord=True)
+                    )
+
+                    start, stop = self.split.per_position_info['codon_order_in_gene'][[block_start_split, block_end_split - 1]]
+                    if gene_call['direction'] == 'r': start, stop = stop, start
+                    codon_orders = np.arange(start, stop + 1)
+
+                    # Codons with ambiguous characters have index values of 64. Remove them here
+                    codon_orders = codon_orders[codon_sequence_as_index <= 63]
+                    codon_sequence_as_index = codon_sequence_as_index[codon_sequence_as_index <= 63]
+
+                    gene_allele_counts[gene_id] = utils.add_to_2D_numeric_array(
+                        codon_sequence_as_index,
+                        codon_orders,
+                        gene_allele_counts[gene_id]
+                    )
+
+            read_count += 1
+
+        if anvio.DEBUG: self.run.info_single('Done SCVs for %s (%d reads processed)' % (self.split.name, read_count), nl_before=0, nl_after=0)
+
+        for gene_id in gene_allele_counts:
+            allele_counts = gene_allele_counts[gene_id]
+
+            if not np.sum(allele_counts):
+                # There were no viable reads that landed on the gene
+                continue
+
+            cdn_profile = ProcessCodonCounts(
+                allele_counts=allele_counts,
+                allele_to_array_index=self.cdn_to_array_index,
+                sequence=reference_codon_sequences[gene_id],
+                min_coverage_for_variability=1,
+            )
+
+            # By design, we include SCVs only if they contain a SNV--filter out those that do not
+            codon_orders_that_contain_SNVs = self.get_codon_orders_that_contain_SNVs(gene_id)
+            if len(codon_orders_that_contain_SNVs):
+                # Only keep those that contain SNVs
+                cdn_profile.filter(codon_orders_that_contain_SNVs)
+            else:
+                # No codon orders contain SNVs
+                continue
+
+            if cdn_profile.process(skip_competing_items=True):
+                # Processing allele counts yielded a non-zero number of codons being kept
+                self.split.SCV_profiles[gene_id] = cdn_profile.d
+                self.split.num_SCV_entries[gene_id] = len(cdn_profile.d['coverage'])
+            else:
+                # There were no codon positions worth keeping. We do not add this gene to
+                # self.split.SCV_profiles
+                pass
+
+        if anvio.DEBUG: self.run.info_single('%d SCVs to report' % (sum(self.split.num_SCV_entries.values())), nl_before=0, nl_after=0, level=2)
+
+
+    def get_codon_orders_that_contain_SNVs(self, gene_id):
+        """Helper for run_SCVs"""
+
+        matches_gene_boolean = self.split.SNV_profiles['corresponding_gene_call'] == gene_id
+
+        return np.unique(self.split.SNV_profiles['codon_order_in_gene'][matches_gene_boolean])
+
+
+    def get_codon_sequence_for_gene(self, gene_call):
+        """Helper for run_SCVs"""
+
+        seq_dict = {self.split.parent: {'sequence': self.split.sequence}}
+
+        return utils.get_list_of_codons_for_gene_call(gene_call, seq_dict, subtract_by=self.split.start)
+
+
+    def init_allele_counts_array(self, gene_call):
+        """Create the array that will house the codon allele counts for a gene"""
+
+        allele_counts_array_shape = (len(constants.codons), (gene_call['stop'] - gene_call['start']) // 3)
+
+        return np.zeros(allele_counts_array_shape)
+
+
+    def run_SNVs_and_indels(self, bam):
+        """Profile SNVs (and indels if not self.skip_INDEL_profiling)
+
+        Parameters
+        ==========
+        bam : bamops.BAMFileObject
+
+        Notes
+        =====
+        See `variability-profile` artifact under anvio/docs/artifacts for details.
+        """
+
+        additional_per_position_data = self.split.per_position_info
+        additional_per_position_data.update({
+            'cov_outlier_in_split': self.split.coverage.is_outlier.astype(int),
+            'cov_outlier_in_contig': self.split.coverage.is_outlier_in_parent.astype(int),
+        })
+
+        if not self.skip_INDEL_profiling:
+            indels = {}
+            get_indel_entry = lambda indel_type, seq, pos, length: OrderedDict([
+                ('split_name', self.split.name),
+                ('pos', pos),
+                ('pos_in_contig', pos + self.split.start),
+                ('corresponding_gene_call', additional_per_position_data['corresponding_gene_call'][pos]),
+                ('in_noncoding_gene_call', additional_per_position_data['in_noncoding_gene_call'][pos]),
+                ('in_coding_gene_call', additional_per_position_data['in_coding_gene_call'][pos]),
+                ('base_pos_in_codon', additional_per_position_data['base_pos_in_codon'][pos]),
+                ('codon_order_in_gene', additional_per_position_data['codon_order_in_gene'][pos]),
+                ('cov_outlier_in_split', additional_per_position_data['cov_outlier_in_split'][pos]),
+                ('cov_outlier_in_contig', additional_per_position_data['cov_outlier_in_contig'][pos]),
+                ('reference', self.split.sequence[pos]),
+                ('type', indel_type),
+                ('sequence', seq),
+                ('length', length),
+                ('count', 1),
+            ])
+
+        # make an array with as many rows as there are nucleotides in the split, and as many rows as
+        # there are nucleotide types. Each nucleotide (A, C, T, G, N) gets its own row which is
+        # defined by the self.nt_to_array_index dictionary
+        allele_counts_array_shape = (len(constants.nucleotides), self.split.length)
+        allele_counts_array = np.zeros(allele_counts_array_shape)
+
+        # Decide how we want to iterate through reads
+        if self.min_percent_identity:
+            read_iterator = bam.fetch_filter_and_trim
+            kwargs = {'percent_id_cutoff': self.min_percent_identity}
+        else:
+            read_iterator = bam.fetch_and_trim
+            kwargs = {}
+
+        read_count = 0
+        for read in read_iterator(self.split.parent, self.split.start, self.split.end, **kwargs):
+            aligned_sequence_as_ord, reference_positions = read.get_aligned_sequence_and_reference_positions()
+            aligned_sequence_as_index = utils.nt_seq_to_nt_num_array(aligned_sequence_as_ord, is_ord=True)
+            reference_positions_in_split = reference_positions - self.split.start
+
+            allele_counts_array = utils.add_to_2D_numeric_array(aligned_sequence_as_index, reference_positions_in_split, allele_counts_array)
+
+            if not self.skip_INDEL_profiling:
+                read.vectorize()
+
+                for ins_segment in read.iterate_blocks_by_mapping_type(mapping_type=1):
+                    # Get the position and sequence of the insertion, create hash as a key for storage
+                    ins_seq = ''.join([chr(x) for x in ins_segment[:, 1]])
+                    ins_pos = ins_segment[0, 0] - self.split.start
+                    indel_hash = hash((ins_pos, ins_seq))
+
+                    if indel_hash in indels:
+                        indels[indel_hash]['count'] += 1
+                    else:
+                        indels[indel_hash] = get_indel_entry(
+                            indel_type='INS',
+                            seq=ins_seq,
+                            pos=ins_pos,
+                            length=len(ins_seq),
+                        )
+
+                for del_segment in read.iterate_blocks_by_mapping_type(mapping_type=2):
+                    # Get the position and length of the deletion, create hash as a key for storage
+                    del_len = del_segment.shape[0]
+                    del_pos = del_segment[0, 0] - self.split.start
+                    indel_hash = hash((del_pos, del_len))
+
+                    if indel_hash in indels:
+                        indels[indel_hash]['count'] += 1
+                    else:
+                        indels[indel_hash] = get_indel_entry(
+                            indel_type='DEL',
+                            seq='',
+                            pos=del_pos,
+                            length=del_len,
+                        )
+
+            read_count += 1
+
+        if anvio.DEBUG: self.run.info_single('Done SNVs for %s (%d reads processed)' % (self.split.name, read_count), nl_before=0, nl_after=0)
+
+        split_as_index = utils.nt_seq_to_nt_num_array(self.split.sequence)
+        nt_profile = ProcessNucleotideCounts(
+            allele_counts=allele_counts_array,
+            allele_to_array_index=self.nt_to_array_index,
+            sequence=self.split.sequence,
+            sequence_as_index=split_as_index,
+            min_coverage_for_variability=self.min_coverage_for_variability,
+            test_class=variability_test_class_null if self.report_variability_full else variability_test_class_default,
+            additional_per_position_data=additional_per_position_data,
+        )
+        nt_profile.process()
+        self.split.SNV_profiles = nt_profile.d
+
+        if not self.skip_INDEL_profiling:
+            indel_profile = ProcessIndelCounts(
+                indels=indels,
+                coverage=allele_counts_array.sum(axis=0),
+                test_class=variability_test_class_null if self.report_variability_full else variability_test_class_default,
+                min_coverage_for_variability=self.min_coverage_for_variability if not self.report_variability_full else 1,
+            )
+            indel_profile.process()
+            self.split.INDEL_profiles = indel_profile.indels
+
+        self.split.num_SNV_entries = len(nt_profile.d['coverage'])
+        self.split.num_INDEL_entries = len(self.split.INDEL_profiles)
+        self.variation_density = self.split.num_SNV_entries * 1000.0 / self.split.length
+
+        if anvio.DEBUG: self.run.info_single('%d SNVs to report' % (self.split.num_SNV_entries), nl_before=0, nl_after=0, level=2)
+        if anvio.DEBUG: self.run.info_single('%d INDELs to report' % (self.split.num_INDEL_entries), nl_before=0, nl_after=0, level=2)
+
+
+class GenbankToAnvioWrapper:
+    """An ad hoc class that takes a metadata file generated by `ncbi-genome-download`"""
+
+    def __init__(self, args, run=terminal.Run(), progress=terminal.Progress()):
+        self.args = args
+
+        self.run = run
+        self.progress = progress
+
+        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
+        self.metadata_file_path = A('metadata')
+        self.output_directory_path = os.path.abspath(A('output_dir') or os.path.curdir)
+        self.output_fasta_descriptor = A('output_fasta_txt') or os.path.join(self.output_directory_path, 'fasta-input.txt')
+        self.exclude_gene_calls_from_fasta_txt = A('exclude_gene_calls_from_fasta_txt')
+
+
+    def sanity_check(self):
+        filesnpaths.is_file_tab_delimited(self.metadata_file_path)
+
+        if os.path.exists(self.output_directory_path):
+            filesnpaths.is_output_dir_writable(self.output_directory_path)
+        else:
+            filesnpaths.gen_output_directory(self.output_directory_path)
+
+        filesnpaths.is_output_file_writable(self.output_fasta_descriptor)
+
+
+    def process(self):
+        self.sanity_check()
+
+        self.run.info('Input metadata file', self.metadata_file_path)
+        self.run.info('Output directory', self.output_directory_path)
+
+        columns = utils.get_columns_of_TAB_delim_file(self.metadata_file_path)
+        if 'organism_name' not in columns or 'local_filename' not in columns:
+            raise ConfigError("The metadata file you provided does not look like a metadata "
+                              "file output from the program `ncbi-genome-download` :/ Why? "
+                              "Because anvi'o expects that file to have at least the following "
+                              "two columns in it: 'organism_name' and 'local_filename'.")
+
+        metadata = utils.get_TAB_delimited_file_as_dictionary(self.metadata_file_path)
+
+        for entry in metadata:
+            if not os.path.exists(metadata[entry]['local_filename']):
+                raise ConfigError("At least one of the files in your metadata input does not seem to be "
+                                  "where they think they are :/ Please make sure the entry %s and others "
+                                  "point to proper local file paths..." % entry)
+
+        self.run.info('Num entries in metadata', len(metadata))
+
+        output_fasta_dict = {}
+        self.progress.new("GenBank to anvi'o", progress_total_items=len(metadata))
+        for entry in metadata:
+            self.progress.increment()
+            self.progress.update('Processing %s ...' % entry)
+
+            # set the organism name and accession id and clean them from weird
+            # characters.
+            organism_name = metadata[entry]['organism_name']
+            for char in [c for c in organism_name if c not in OK_CHARS_FOR_ORGANISM_NAME]:
+                organism_name = organism_name.replace(char, '_')
+
+            accession_id = entry
+            for char in [c for c in accession_id if c not in OK_CHARS_FOR_ACCESSION]:
+                accession_id = accession_id.replace(char, '_')
+
+            final_name = '_'.join([organism_name, accession_id])
+
+            args = argparse.Namespace(input_genbank=metadata[entry]['local_filename'],
+                                      output_file_prefix=os.path.join(self.output_directory_path, final_name))
+            g = GenbankToAnvio(args, run=terminal.Run(verbose=False), progress=terminal.Progress(verbose=False))
+
+            if final_name in output_fasta_dict:
+                raise ConfigError("The final name '%s' for your genome has alrady been used by "
+                                  "another one :/ This should never happen unless your metadata "
+                                  "contains entries with identical accession numbers...")
+            output_fasta_dict[final_name] = g.process()
+
+        self.progress.end()
+
+        headers = ['name', 'path']
+        if not self.exclude_gene_calls_from_fasta_txt:
+            headers.extend(['external_gene_calls', 'gene_functional_annotation'])
+
+        utils.store_dict_as_TAB_delimited_file(output_fasta_dict, self.output_fasta_descriptor, headers=headers)
+
+        self.run.info('Output FASTA descriptor', self.output_fasta_descriptor)
+
+
+class GenbankToAnvio:
+    """A class to deal with GenBank files. The initial code was implemented by Mike Lee"""
+
+    def __init__(self, args, run=terminal.Run(), progress=terminal.Progress()):
+        self.args = args
+
+        self.run = run
+        self.progress = progress
+
+        A = lambda x: args.__dict__[x] if x in args.__dict__ else None
+        self.input_genbank_path = A('input_genbank')
+        self.output_file_prefix = A('output_file_prefix')
+        self.output_fasta_path = A('output_fasta')
+        self.output_functions_path = A('output_functions')
+        self.output_gene_calls_path = A('output_gene_calls')
+        self.source = A('annotation_source') or 'NCBI_PGAP'
+        self.version = A('annotation_version') or 'v4.6'
+        self.omit_aa_sequences_column = A('omit_aa_sequences_column') or False
+
+        # gene callers id start from 0. you can change your instance
+        # prior to processing the genbank file to start from another
+        # value
+        self.gene_callers_id = 0
+
+        # dumping gene if noted as these in the "note" section of the call
+        self.note_terms_to_exclude = ["frameshifted", "internal stop", "incomplete"]
+
+        # dumping gene if "location" section contains any of these: "join" means the
+        # gene call spans multiple contigs; "<" or ">" means the gene call runs off a contig
+        # FIXME join does not necessarily mean the gene call spans multiple columns. See the first
+        # gene here to see an instance where this is not true: https://www.ncbi.nlm.nih.gov/nuccore/MN908947
+        self.location_terms_to_exclude = ["join", "<", ">"]
+
+
+    def sanity_check(self):
+        if self.output_file_prefix and (self.output_fasta_path or self.output_functions_path or self.output_gene_calls_path):
+            raise ConfigError("Your arguments contain an output file prefix, and other output file paths. You can either "
+                              "define a prefix, and the output files would be named accordingly (such as 'PREFIX-extenral-gene-calls', "
+                              "'PREFIX-external-functions.txt', and 'PREFIX-contigs.fa'), ORRR you can set output file names "
+                              "or paths for each of these files independently. You can also leave it as is for default file names to "
+                              "be used. But you can't mix everything together and confuse us here.")
+
+        self.output_fasta_path = self.output_fasta_path or 'contigs.fa'
+        self.output_functions_path = self.output_functions_path or 'external-functions.txt'
+        self.output_gene_calls_path = self.output_gene_calls_path or 'external-gene-calls.txt'
+
+        if self.output_file_prefix:
+            J = lambda x: '-'.join([self.output_file_prefix, x])
+            self.output_fasta_path = J(self.output_fasta_path)
+            self.output_functions_path = J(self.output_functions_path)
+            self.output_gene_calls_path = J(self.output_gene_calls_path)
+
+        filesnpaths.is_output_file_writable(self.output_fasta_path)
+        filesnpaths.is_output_file_writable(self.output_functions_path)
+        filesnpaths.is_output_file_writable(self.output_gene_calls_path)
+        filesnpaths.is_file_exists(self.input_genbank_path)
+
+        files_already_exist = [f for f in [self.output_fasta_path, self.output_functions_path, self.output_gene_calls_path] if os.path.exists(f)]
+        if len(files_already_exist):
+            raise ConfigError("Some of the output files already exist :/ Anvi'o feels uneasy about simply overwriting "
+                              "them and would like to outsource that risk to you. Please either use different output "
+                              "file names, or delete these files and come back: '%s'" % (', '.join(files_already_exist)))
+
+
+    def get_genbank_file_object(self):
+        try:
+            if self.input_genbank_path.endswith('.gz'):
+                genbank_file_object = SeqIO.parse(io.TextIOWrapper(gzip.open(self.input_genbank_path, 'r')), "genbank")
+            else:
+                genbank_file_object = SeqIO.parse(open(self.input_genbank_path, "r"), "genbank")
+        except Exception as e:
+            raise ConfigError("Someone didn't like your unput 'genbank' file :/ Here's what they said "
+                              "about it: '%s'." % e)
+
+        return genbank_file_object
+
+
+    def process(self):
+        self.sanity_check()
+
+        output_fasta = {}
+        output_gene_calls = {}
+        output_functions = {}
+        num_genbank_records_processed = 0
+        num_genes_found = 0
+        num_genes_reported = 0
+        num_genes_with_AA_sequences = 0
+        num_partial_genes = 0
+        num_genes_with_functions = 0
+
+        num_genes_excluded = 0
+        genes_excluded = set([])
+
+        # A very quick look at the genbank file to see if translated sequences are present in it
+        aa_sequences_present = False
+        for genbank_record in self.get_genbank_file_object():
+            genes = [gene for gene in genbank_record.features if gene.type =="CDS"]
+
+            # clearly, not every genebank record has to have genes.
+            # just like not every bank has to have money I guess.
+            # IRONIES OF LIFE BUT IN CODING SPACE BECAUSE BIOINFORMATICS.
+            if not len(genes):
+                continue
+
+            # do we have AA sequences in this?
+            if 'translation' in genes[0].qualifiers:
+                aa_sequences_present = True
+
+            if aa_sequences_present and self.omit_aa_sequences_column:
+                aa_sequences_present = False
+                self.run.info_single("Amino acid sequences seem to be present in this GFF file, but you wanted anvi'o "
+                                     "to not report them. FINE. They shall be ignored.", nl_after=1)
+                break
+
+        # The main loop to go through all records forreals.
+        for genbank_record in self.get_genbank_file_object():
+            num_genbank_records_processed += 1
+            output_fasta[genbank_record.name] = str(genbank_record.seq)
+
+            genes = [gene for gene in genbank_record.features if gene.type =="CDS"] # focusing on features annotated as "CDS" by NCBI's PGAP
+
+            for gene in genes:
+                num_genes_found += 1
+                location = str(gene.location)
+                # "join" in `location` means that the gene call spans multiple contigs
+                # so we exclude it here:
+                if 'join' in location:
+                    num_genes_excluded += 1
+                    if 'protein_id' in gene.qualifiers:
+                        genes_excluded.add(gene.qualifiers['protein_id'][0])
+
+                    continue
+
+                if "note" in gene.qualifiers:
+                    note = str(gene.qualifiers["note"][0])
+
+                    # dumping gene if noted as any of these in the "note" section set above
+                    if any(exclusion_term in note for exclusion_term in self.note_terms_to_exclude):
+                        continue
+
+                # dumping if overlapping translation frame
+                if "transl_except" in gene.qualifiers:
+                    continue
+
+                # dumping if gene declared a pseudogene
+                if "pseudo" in gene.qualifiers or "pseudogene" in gene.qualifiers:
+                    continue
+
+                # The character "<" or ">" in `location `means the gene call runs off a contig, so it
+                # is best to mark it as impartial:
+                if ('<' in location or '>' in location):
+                    partial = 1
+                    num_partial_genes += 1
+                else:
+                    partial = 0
+
+                # cleaning up gene coordinates to more easily parse:
+                location = location.replace("[", "").replace('>', '').replace('<', '')
+                location = re.sub('](.*)', '', location)
+                location = location.split(":")
+
+                start = location[0] # start coordinate
+                end = location[1] # end coordinate
+
+                # setting direction to "f" or "r":
+                if gene.strand == 1:
+                    direction="f"
+                else:
+                    direction="r"
+
+                # for accession, storing protein id if it has one, else the the locus tag, else "None"
+                if "protein_id" in gene.qualifiers:
+                    accession = gene.qualifiers["protein_id"][0]
+                elif "locus_tag" in gene.qualifiers:
+                    accession = gene.qualifiers["locus_tag"][0]
+                else:
+                    accession = "None"
+
+                # storing gene product annotation if present
+                if "product" in gene.qualifiers:
+                    function = gene.qualifiers["product"][0]
+                    # trying to capture all different ways proteins are listed as hypothetical and setting to same thing so can prevent from adding to output functions table below
+                    if function in ["hypothetical", "hypothetical protein", "conserved hypothetical", "conserved hypotheticals", "Conserved hypothetical protein"]:
+                        function = "hypothetical protein"
+                else:
+                    function = "hypothetical protein"
+
+                # if present, adding gene name to product annotation (so long as not a hypothetical, sometimes these names are useful, sometimes they are not):
+                if "gene" in gene.qualifiers:
+                    if function not in "hypothetical protein":
+                        gene_name=str(gene.qualifiers["gene"][0])
+                        function = function + " (" + gene_name + ")"
+
+                output_gene_calls[self.gene_callers_id] = {'contig': genbank_record.name,
+                                                           'start': start,
+                                                           'stop': end,
+                                                           'direction': direction,
+                                                           'partial': partial,
+                                                           'call_type': 1,
+                                                           'source': self.source,
+                                                           'version': self.version}
+
+                # let's keep the amino acid sequences if present
+                if aa_sequences_present:
+                    if 'translation' in gene.qualifiers and not partial:
+                        output_gene_calls[self.gene_callers_id]['aa_sequence'] = gene.qualifiers["translation"][0]
+                        num_genes_with_AA_sequences += 1
+                    else:
+                        output_gene_calls[self.gene_callers_id]['aa_sequence'] = ''
+
+                num_genes_reported += 1
+
+                # not writing gene out to functions table if no annotation
+                if "hypothetical protein" not in function:
+                    output_functions[self.gene_callers_id] = {'source': self.source,
+                                                              'accession': accession,
+                                                              'function': function,
+                                                              'e_value': 0}
+                    num_genes_with_functions += 1
+
+                # increment the gene callers id fo rthe next
+                self.gene_callers_id += 1
+
+        if num_genbank_records_processed == 0:
+            raise ConfigError("It seems there was no records in your input genbank file :/ Are you sure you "
+                              "gave the right file path that actually resolves to a genbank formatted "
+                              "text file?")
+
+        self.run.info('Num GenBank entries processed', num_genbank_records_processed)
+        self.run.info('Num gene records found', num_genes_found)
+        self.run.info('Num genes reported', num_genes_reported, mc='green')
+        self.run.info('Num genes with AA sequences', num_genes_with_AA_sequences, mc='green')
+        self.run.info('Num genes with functions', num_genes_with_functions, mc='green')
+        self.run.info('Num partial genes', num_partial_genes, mc='cyan')
+        self.run.info('Num genes excluded', num_genes_excluded, mc='red', nl_after=1)
+
+        if num_genes_excluded:
+            msg = (f"A total of {num_genes_excluded} in this file were excluded during the processing of "
+                   f"the GFF file because they were marked as 'spanning multiple contigs'.")
+                # dumping gene if "location" section contains any of these terms set above: "join" means
+                # the gene call spans multiple contigs; "<" or ">" means the gene call runs off a contig
+            if len(genes_excluded):
+                self.run.warning(msg + "Here are some protein IDs from the file that were associated with "
+                                 f"them: {', '.join(genes_excluded)}. But please note that such genes that "
+                                 f"span multiple contigs are often associated with multiple 'protein IDs' in "
+                                 f"the GFF description, and this list includes only the first protein ID if "
+                                 f"there are multiple. In addition, not every gene that spans across multiple "
+                                 f"contigs will have a protein ID, so you will not see them in this list :/ "
+                                 f"If you think anvi'o should try to include them in its report anyway, let us "
+                                 f"know.", header="WEIRD GENE CALLS EXCLUDED")
+            else:
+                self.run.warning(msg, header="WERID GENE CALLS EXCLUDED")
+
+        if aa_sequences_present and num_partial_genes > 1:
+            self.run.warning(f"Anvi'o found out that aminio acid seqeunces were present in the GFF file, so it "
+                             f"reported them in the external gene calls file. But the {num_partial_genes} that "
+                             f"were marked as partial in the GFF file, there will not be any amino acid sequences. "
+                             f"Alternatively, you could use the flag `--omit-aa-seqeunces-column` to instruct "
+                             f"this program to report an external gene calls file WITHOUT an amino acid sequences, "
+                             f"column. When it is missing, anvi'o would do its best to translate your gene calls "
+                             f"and may be able to find out what to do with your partial gene calls. But it usually "
+                             f"is a MUCH better idea to learn translated sequences from a GFF file since they may "
+                             f"include careful consideration of organism-specific genetic code.",
+                             header="JUSTICE FOR PARTIAL GENES: NOT FOUND")
+
+        # time to write these down:
+        utils.store_dict_as_FASTA_file(output_fasta,
+                                       self.output_fasta_path,
+                                       wrap_from=None)
+        self.run.info('FASTA file path', self.output_fasta_path)
+
+        if len(output_gene_calls):
+            header_for_external_gene_calls = ["gene_callers_id", "contig", "start", "stop", "direction", "partial", "call_type", "source", "version"]
+            header_for_functions = ['gene_callers_id', 'source', 'accession', 'function', 'e_value']
+
+            if aa_sequences_present:
+                header_for_external_gene_calls.append('aa_sequence')
+
+            utils.store_dict_as_TAB_delimited_file(output_gene_calls,
+                                                   self.output_gene_calls_path,
+                                                   headers=header_for_external_gene_calls)
+
+            utils.store_dict_as_TAB_delimited_file(output_functions,
+                                                   self.output_functions_path,
+                                                   headers=header_for_functions)
+
+            self.run.info('External gene calls file', self.output_gene_calls_path)
+            self.run.info('TAB-delimited functions', self.output_functions_path)
+        else:
+            self.output_gene_calls_path = None
+            self.output_functions_path = None
+            self.run.warning("Anvi'o couldn't find any gene calles in the GenBank file, hence you will get "
+                             "no output files for external gene calls or functions :/ We hope you can "
+                             "survive this terrible terrible news :(")
+
+        self.run.info_single('Mmmmm ☘ ', nl_before=1, nl_after=1)
+
+        return {'external_gene_calls': self.output_gene_calls_path,
+                'gene_functional_annotation': self.output_functions_path,
+                'path': self.output_fasta_path}
+

From d768cf662a4cc5e44d2decbd597fbda764b86593 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 6 Aug 2022 22:17:02 -0700
Subject: [PATCH 0766/1020] only include changes relevant to genome view in
 external files

---
 anvio/__init__.py           | 158 ++++++++++++++++++++++++--------
 anvio/bottleroutes.py       |  14 +--
 anvio/dbops.py              | 174 ++++++++++++++++++++++--------------
 anvio/docs/__init__.py      |  74 ++++++++++++++-
 anvio/genomedescriptions.py |  82 ++++++++++++++---
 anvio/interactive.py        |  70 ++++++++++-----
 6 files changed, 426 insertions(+), 146 deletions(-)

diff --git a/anvio/__init__.py b/anvio/__init__.py
index 74aacde184..fe7a55d76b 100644
--- a/anvio/__init__.py
+++ b/anvio/__init__.py
@@ -72,7 +72,9 @@
 FIX_SAD_TABLES = '--fix-sad-tables' in sys.argv
 FORCE_OVERWRITE = '--force-overwrite' in sys.argv
 DISPLAY_DB_CALLS = '--display-db-calls' in sys.argv
+FORCE_USE_MY_TREE = '--force-use-my-tree' in sys.argv
 DEBUG_AUTO_FILL_ANVIO_DBS = '--debug-auto-fill-anvio-dbs' in sys.argv
+USER_KNOWS_IT_IS_NOT_A_GOOD_IDEA = '--I-know-this-is-not-a-good-idea' in sys.argv
 DOCS_PATH = os.path.join(os.path.dirname(__file__), 'docs')
 TMP_DIR = None
 
@@ -128,29 +130,23 @@ def TABULATE(table, header, numalign="right", max_width=0):
 
 # a comprehensive arguments dictionary that provides easy access from various programs that interface anvi'o modules:
 D = {
-    'contigs-db': (
-            ['-c', '--contigs-db'],
-            {'metavar': 'CONTIGS_DB',
-             'required': True,
-             'help': "Anvi'o contigs database."}
-                ),
     'profile-db': (
             ['-p', '--profile-db'],
             {'metavar': "PROFILE_DB",
              'required': True,
-             'help': "Anvi'o profile database."}
+             'help': "Anvi'o profile database"}
                 ),
     'genes-db': (
             ['--genes-db'],
             {'metavar': "GENES_DB",
              'required': True,
-             'help': "Anvi'o genes database."}
+             'help': "Anvi'o genes database"}
                 ),
     'pan-db': (
             ['-p', '--pan-db'],
             {'metavar': "PAN_DB",
              'required': True,
-             'help': "Anvi'o pan database."}
+             'help': "Anvi'o pan database"}
                 ),
     'pan-or-profile-db': (
             ['-p', '--pan-or-profile-db'],
@@ -162,7 +158,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
             ['-g', '--genomes-storage'],
             {'metavar': "GENOMES_STORAGE",
              'required': False,
-             'help': "Anvi'o genomes storage."}
+             'help': "Anvi'o genomes storage file"}
                 ),
     'structure-db': (
             ['-s', '--structure-db'],
@@ -203,6 +199,12 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "contigs, you can create a blank anvi'o profile database to use anvi'o interactive "
                      "interface with that contigs database without any mapping data."}
                 ),
+    'contigs-db': (
+            ['-c', '--contigs-db'],
+            {'metavar': 'CONTIGS_DB',
+             'required': True,
+             'help': "Anvi'o contigs database generated by 'anvi-gen-contigs-database'"}
+                ),
     'runinfo': (
             ['-r', '--runinfo'],
             {'metavar': 'RUNINFO_PATH',
@@ -226,15 +228,15 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "of this file will be called 'user_view', which will be available as a new item "
                      "in the 'views' combo box in the interface"}
                 ),
-    'fasta-file': (
-            ['-f', '--fasta-file'],
-            {'metavar': 'FASTA',
-             'help': "A FASTA-formatted input file"}
-                ),
     'dna-sequence': (
             ['--dna-sequence'],
-            {'metavar': 'FASTA',
-             'help': "A FASTA-formatted input file"}
+            {'metavar': 'DNA SEQ',
+             'help': "Literally a DNA sequence. For the very lazy."}
+                ),
+    'fasta-file': (
+            ['-f', '--fasta-file'],
+            {'metavar': 'FASTA file',
+             'help': "A FASTA-formatted input file."}
                 ),
     'fasta-text-file': (
             ['-f', '--fasta-text-file'],
@@ -363,6 +365,14 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "for your own case)) can be found at the URL https://bit.ly/2qEEHuQ. If you are providing external gene calls, "
                      "please also see the flag `--skip-predict-frame`."}
                 ),
+    'external-structures': (
+            ['--external-structures'],
+            {'metavar': 'FILE_PATH',
+             'help': "A two-column TAB-delimited flat text file that lists PDB protein structures. The first item "
+                     "in the header line should read 'gene_callers_id', and the second should read 'path'. Each line in the "
+                     "file should describe a single entry, where the first column is the gene_callers_id that the structure corresponds "
+                     "to, and the second column is the path to the structure file."}
+                ),
     'external-genomes': (
             ['-e', '--external-genomes'],
             {'metavar': 'FILE_PATH',
@@ -397,6 +407,13 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "context, the anvi'o profiles associated with contigs database must be SINGLE PROFILES, as in "
                      "generated by the program `anvi-profile` and not `anvi-merge`."}
                 ),
+    'bams-and-profiles': (
+            ['-P', '--bams-and-profiles'],
+            {'metavar': 'FILE_PATH',
+             'help': "A four-column TAB-delimited flat text file. The header line must contain these columns: 'name', "
+                     "'contigs_db_path', 'profile_db_path', and 'bam_file_path'. See the profiles-and-bams.txt artifact "
+                     "for the details of the file."}
+                ),
     'gene-caller': (
             ['--gene-caller'],
             {'metavar': 'GENE-CALLER',
@@ -521,9 +538,9 @@ def TABULATE(table, header, numalign="right", max_width=0):
             {'metavar': 'VARIANT',
              'required': False,
              'default': 'unknown',
-             'help': "A free-form text variable to associate a database with a variant for power users and/or programmers "
+             'help': "A free-form text variable to associate a database with a variant for power users and/or programmers. "
                      "Please leave this blank unless you are certain that you need to set a db variant since it may influence "
-                     "downstream processes. In an ideal world a varainat would be a single-word, without any capitalized letters "
+                     "downstream processes. In an ideal world a variant would be a single-word, without any capitalized letters "
                      "or special characters."}
                 ),
     'contigs-fasta': (
@@ -698,6 +715,17 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "core gene to estimate the taxonomic composition within a contigs database. If you have a "
                      "different preference you can use this parameter to communicate that."}
                 ),
+    'report-scg-sequences-file-prefix': (
+            ['--report-scg-sequences-file-prefix'],
+            {'default': None,
+             'type': str,
+             'metavar': 'FILE NAME PREFIX',
+             'help': "When running in metagenome mode, anvi'o has access to each SCG sequence. By providing a "
+                     "file prefix, you can instruct anvi'o to report amino acid and DNA sequences for each SCG "
+                     "it uses to estimate taxonomy. The deflines of the resulting FASTA files will match tot he "
+                     "unique entry IDs used to populate the output file that reports taxonomy. Please note that "
+                     "this parameter will only run if you set the parameter `--scg-name-for-metagenome-mode`."}
+                ),
     'anticodon-for-metagenome-mode': (
             ['-S','--anticodon-for-metagenome-mode'],
             {'default': None,
@@ -915,6 +943,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
     'kegg-data-dir': (
             ['--kegg-data-dir'],
             {'default': None,
+             'metavar': 'DIR_PATH',
              'type': str,
              'help': "The directory path for your KEGG setup, which will include things like "
                      "KOfam profiles, KEGG MODULE data, and KEGG BRITE data. Anvi'o will try "
@@ -2038,12 +2067,6 @@ def TABULATE(table, header, numalign="right", max_width=0):
              'help': "A prefix to be used while naming the output files (no file type "
                      "extensions please; just a prefix)."}
                 ),
-    'name-prefix': (
-            ['-N', '--name-prefix'],
-            {'metavar': 'NAME_PREFIX',
-             'type': str,
-             'help': "A prefix to be added to the default name."}
-                ),
     'long-format': (
             ['--long-format'],
             {'default': False,
@@ -2088,7 +2111,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
             ['--verbose'],
             {'default': False,
              'action': 'store_true',
-             'help': "Be verbose, print more messages whenever possible."}
+             'help': "Be verbose, print more messages whenever possible. You may regret this."}
                 ),
     'concise': (
             ['--concise'],
@@ -2117,7 +2140,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
              'help': "IP address for the HTTP server. The default ip address (%(default)s) should "
                      "work just fine for most."}
                 ),
-   'browser-path': (
+    'browser-path': (
             ['--browser-path'],
             {'metavar': 'PATH',
              'type': str,
@@ -2128,7 +2151,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "this parameter to call Google's experimental browser, Canary, which performs better with "
                      "demanding visualizations."}
                 ),
-   'api-url': (
+    'api-url': (
             ['--api-url'],
             {'metavar': 'API_URL',
              'type': str,
@@ -2207,6 +2230,19 @@ def TABULATE(table, header, numalign="right", max_width=0):
              'type': float,
              'help': "Maximum number of target sequences to request from BLAST or DIAMOND searches. The default is %(default)g%%."}
                 ),
+    'fetch-filter': (
+            ['--fetch-filter'],
+            {'metavar': 'FILTER',
+             'default': None,
+             'type': str,
+             'help': f"By default, anvi'o fetches all reads from a BAM file. Once a read is 'fetched', some "
+                     f"reads may be excluded if you have used parameters such as `--min-percent-identity`. "
+                     f"But the `--fetch-filter` is different as it determines WHICH reads from a BAM file "
+                     f"will be used for profiling at all. You can do a lot of fun things with this parameter. "
+                     f"For details, please read the online documentation for `anvi-profile` using the URL "
+                     f"you should see at the end of the `--help` output on your terminal. The known filters are "
+                     f"the following: {', '.join([k for k in constants.fetch_filters.keys() if k])}."}
+                ),
     'min-percent-identity': (
             ['--min-percent-identity'],
             {'metavar': 'PERCENT_IDENTITY',
@@ -2448,6 +2484,13 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "this flag, the HMM hits stored in the database will be taken from the --tblout file only. "
                      "Also, this option only works with HMM profiles for amino acid sequences (not nucleotides)."}
                 ),
+    'add-to-functions-table': (
+            ['--add-to-functions-table'],
+            {'default': False,
+             'action': 'store_true',
+             'help': "Use this flag if you want anvi'o to store your HMM hits as gene annotations in the 'gene_functions'"
+                     "table of the database, rather than in the 'hmm_hits' table."}
+                ),
     'min-contig-length': (
             ['-M', '--min-contig-length'],
             {'metavar': 'INT',
@@ -2944,16 +2987,23 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "(such as a file produced using the --get-raw-data-as-json flag), you can provide that file to this flag "
                      "and KEGG metabolism estimates will be computed from the information within instead of from a contigs database."}
                 ),
+    'enzymes-txt': (
+            ['--enzymes-txt'],
+            {'default': None,
+             'metavar': 'FILE_PATH',
+             'type': str,
+             'help': "A tab-delimited file describing gene id, enzyme accession, functional annotation source for the enzyme, "
+                     "and (optionally) coverage and detection values for the gene."}
+                ),
     'output-modes': (
             ['--output-modes'],
             {'default': None,
              'metavar': 'MODES',
              'type': str,
-             'help': "Use this flag to indicate what information you want in the kegg metabolism output files, by "
+             'help': "Use this flag to indicate what information you want in the metabolism output files, by "
                      "providing a comma-separated list of output modes (each 'mode' you provide will result in a "
-                     "different output file, all with the same prefix). The default output modes are 'kofam_hits' and "
-                     "'complete_modules'. To see a list of available output modes, run this script with the flag "
-                     "--list-available-modes."}
+                     "different output file, all with the same prefix). To see a list of available output modes, "
+                     "run this script with the flag --list-available-modes."}
                 ),
     'list-available-modes': (
             ['--list-available-modes'],
@@ -3065,7 +3115,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
             'metavar': 'TEXT_FILE',
             'help': "A tab-delimited text file specifying module completeness in every genome/MAG/sample "
                     "that you are interested in. The best way to get this file is to run `anvi-estimate-metabolism "
-                    "--kegg-output-modes modules` on your samples of interest. Trust us."}
+                    "--output-modes modules` on your samples of interest. Trust us."}
                 ),
     'groups-txt': (
             ['-G', '--groups-txt'],
@@ -3117,8 +3167,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
                      "as tRNA-seq samples are commonly split for these treatments. "
                      "Anvi'o will warn you if you do not choose one of these known options, but it will not affect data processing. "
                      "Treatment type is stored for further reference in the output tRNA-seq database, "
-                     "and can be used in anvi-convert-trnaseq-database "
-                     "to affect which nucleotides are called at predicted modification sites in tRNA seed sequences."}
+                     "and can be used in anvi-merge-trnaseq to affect which nucleotides are called at predicted modification sites in tRNA seed sequences."}
                 ),
     'write-checkpoints': (
             ['--write-checkpoints'],
@@ -3293,7 +3342,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
                 ),
     'profiling-chunk-size': (
             ['--profiling-chunk-size'],
-            {'default': 500000,
+            {'default': 100000,
              'metavar': 'INT',
              'type': int,
              'help': "Anvi'o manages memory consumption during tRNA feature profiling by chunking the unique input sequences. "
@@ -3437,6 +3486,41 @@ def TABULATE(table, header, numalign="right", max_width=0):
              'help': "This parameter controls which indels are reported in the tRNA-seq profile database. "
                      "Coverage of an indel in a sample must meet the minimum fraction of specific coverage. "
                      "Indel coverages are calculated separately for specific, nonspecific, and summed coverages."}
+                ),
+    'specific-profile-db': (
+            ['--specific-profile-db', '-s'],
+            {'metavar': 'PROFILE_DB',
+             'required': True,
+             'help': "The path to an anvi'o profile database containing specific coverage information on tRNA seeds. "
+                     "`anvi-merge-trnaseq` generates a specific profile database from a tRNA-seq experiment."}
+                ),
+    'nonspecific-profile-db': (
+            ['--nonspecific-profile-db', '-n'],
+            {'metavar': 'PROFILE_DB',
+             'required': False,
+             'help': "The path to an anvi'o profile database containing nonspecific coverage information on tRNA seeds. "
+                     "`anvi-merge-trnaseq` optionally generates a nonspecific profile database from a tRNA-seq experiment."}
+                ),
+    'seeds-specific-txt': (
+            ['--seeds-specific-txt', '-s'],
+            {'metavar': 'TEXT_FILE',
+             'required': True,
+             'help': "A tab-delimited text file containing data on tRNA seeds including specific coverages. "
+                     "`anvi-tabulate-trnaseq` generates this file from anvi'o tRNA-seq databases."}
+                ),
+    'seeds-nonspecific-txt': (
+            ['--seeds-nonspecific-txt', '-n'],
+            {'metavar': 'TEXT_FILE',
+             'required': False,
+             'help': "A tab-delimited text file containing data on tRNA seeds including nonspecific coverages. "
+                     "`anvi-tabulate-trnaseq` generates this file from anvi'o tRNA-seq databases."}
+                ),
+    'modifications-txt': (
+            ['--modifications-txt', '-m'],
+            {'metavar': 'TEXT_FILE',
+             'required': True,
+             'help': "A tab-delimited text file containing modification data on tRNA seeds. "
+                     "`anvi-tabulate-trnaseq` generates this file from anvi'o tRNA-seq databases."}
     ),
     'stats-to-summarize': (
             ['--stats-to-summarize', '-S'],
@@ -3505,8 +3589,8 @@ def get_version_tuples():
 
 def print_version():
     run.info("Anvi'o", "%s (v%s)" % (__codename__, __version__), mc='green', nl_after=1)
-    run.info("Contigs database", __contigs__version__)
     run.info("Profile database", __profile__version__)
+    run.info("Contigs database", __contigs__version__)
     run.info("Pan database", __pan__version__)
     run.info("Genome data storage", __genomes_storage_version__)
     run.info("Auxiliary data storage", __auxiliary_data_version__)
diff --git a/anvio/bottleroutes.py b/anvio/bottleroutes.py
index ecfe2bea3c..d976840966 100644
--- a/anvio/bottleroutes.py
+++ b/anvio/bottleroutes.py
@@ -182,8 +182,8 @@ def register_routes(self):
         self.route('/data/get_variability',                    callback=self.get_variability, method='POST')
         self.route('/data/store_variability',                  callback=self.store_variability, method='POST')
         self.route('/data/store_structure_as_pdb',             callback=self.store_structure_as_pdb, method='POST')
-        self.route('/data/get_gene_function_info/<gene_callers_id:int>', callback=self.get_gene_function_info)
-        self.route('/data/get_model_info/<gene_callers_id:int>', callback=self.get_model_info)
+        self.route('/data/get_gene_function_info/<gene_callers_id:int>',             callback=self.get_gene_function_info)
+        self.route('/data/get_model_info/<gene_callers_id:int>',             callback=self.get_model_info)
         self.route('/data/filter_gene_clusters',               callback=self.filter_gene_clusters, method='POST')
         self.route('/data/reroot_tree',                        callback=self.reroot_tree, method='POST')
         self.route('/data/save_tree',                          callback=self.save_tree, method='POST')
@@ -495,7 +495,7 @@ def get_state(self, state_name):
 
                 return json.dumps((state_dict, self.interactive.p_meta['item_orders'][default_order], self.interactive.views[default_view]))
 
-        return json.dumps('')
+        return json.dumps("")
 
 
     def charts(self, order_name, item_name):
@@ -555,9 +555,11 @@ def charts(self, order_name, item_name):
 
         data['state'] = state
 
+        db_variant = str(self.interactive.contigs_db_variant)
         try:
             auxiliary_coverages_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.interactive.auxiliary_data_path,
-                                                                                     self.interactive.p_meta['contigs_db_hash'])
+                                                                                     self.interactive.p_meta['contigs_db_hash'],
+                                                                                     db_variant=db_variant)
             coverages = auxiliary_coverages_db.get(split_name)
             auxiliary_coverages_db.close()
 
@@ -741,8 +743,10 @@ def charts_for_single_gene(self, order_name, item_name):
 
         layers = [layer for layer in sorted(self.interactive.p_meta['samples']) if (layer not in state['layers'] or float(state['layers'][layer]['height']) > 0)]
 
+        db_variant = str(self.interactive.contigs_db_variant)
         auxiliary_coverages_db = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.interactive.auxiliary_data_path,
-                                                                                 self.interactive.p_meta['contigs_db_hash'])
+                                                                                 self.interactive.p_meta['contigs_db_hash'],
+                                                                                 db_variant=db_variant)
         coverages = auxiliary_coverages_db.get(split_name)
         auxiliary_coverages_db.close()
 
diff --git a/anvio/dbops.py b/anvio/dbops.py
index d03897dbe0..18ab113877 100644
--- a/anvio/dbops.py
+++ b/anvio/dbops.py
@@ -1199,6 +1199,10 @@ def get_sequences_for_gene_callers_ids(self, gene_caller_ids_list=[], output_fil
                 # dict properly so the FASTA file and the external gene calls file correspond to each other
                 gene_call['header'] = '%s_%d' % (gene_call['contig'], gene_callers_id)
                 gene_call['contig'] = gene_call['header']
+
+                if not flank_length:
+                    gene_call['start'] = 0
+                    gene_call['stop'] = gene_call['length']
             else:
                 if simple_headers:
                     gene_call['header'] = '%d' % (gene_callers_id)
@@ -1269,28 +1273,32 @@ def get_sequences_for_gene_callers_ids(self, gene_caller_ids_list=[], output_fil
         return (gene_caller_ids_list, sequences_dict)
 
 
-    def gen_GFF3_file_of_sequences_for_gene_caller_ids(self, gene_caller_ids_list=[], output_file_path=None, wrap=120, simple_headers=False, rna_alphabet=False):
+    def gen_GFF3_file_of_sequences_for_gene_caller_ids(self, gene_caller_ids_list=[], output_file_path=None, wrap=120, simple_headers=False, rna_alphabet=False, gene_annotation_source=None):
         gene_caller_ids_list, sequences_dict = self.get_sequences_for_gene_callers_ids(gene_caller_ids_list)
 
         name_template = '' if simple_headers else ';Name={contig} {start} {stop} {direction} {rev_compd} {length}'
 
-        # let's see if there are functions
+        # let's see the situation with functions
+        if gene_annotation_source and not self.a_meta['gene_function_sources']:
+            raise ConfigError("The code came all the way here with a `gene_annotation_source` but without the proper contigs db configuration o_O "
+                              "Anvi'o needs an adult :(")
+
+        if not gene_annotation_source and self.a_meta['gene_function_sources']:
+            self.run.warning(f"You didn't ask for functions to be included in your GFF output file, but anvi'o found "
+                             f"in your contigs database all these in case you would like to include one of them via "
+                             f"the parameter `--annotation-source`: {', '.join(self.a_meta['gene_function_sources'])}",
+                             header="THE MORE YOU KNOW 🌈", lc='yellow')
+
         gene_functions_found = False
-        if self.a_meta['gene_function_sources'] and 'COG20_FUNCTION' in self.a_meta['gene_function_sources']:
-            self.init_functions(requested_sources=["COG20_FUNCTION"])
-            gene_functions_found = True
-            self.run.warning("Anvi'o found gene function annotations by `COG20_FUNCTION` in your contigs database "
-                             "and will include that information in the output GFF file (anvi'o also admits that "
-                             "it is looking for `COG20_FUNCTION` instead of an annotation source of your choice due to "
-                             "the laziness of its developers. If you would like to be able to choose a different "
-                             "annotation source, please let the developers know and they will parameterize this option).",
-                             header="FUNCTIONS FOUND 🎊", lc="green")
-        else:
-            self.run.warning("Just so you know: anvi'o wanted to include functions for your genes into the GFF file "
-                             "but your contigs database does not seem to include annotations from `COG20_FUNCTION`. "
-                             "You can ignore this message if you don't care. But if you would like your GFF file to "
-                             "include functions for your genes, you can run `anvi-run-ncbi-cogs` on your contigs db "
-                             "and re-run this command to have an output file with functions :)")
+        if gene_annotation_source and self.a_meta['gene_function_sources']:
+            if gene_annotation_source in self.a_meta['gene_function_sources']:
+                self.init_functions(requested_sources=[gene_annotation_source])
+                gene_functions_found = True
+                self.run.warning(f"Anvi'o found gene function annotations by '{gene_annotation_source}' in your contigs database "
+                                 f"and will include that information in the output GFF file.", header="FUNCTIONS FOUND 🎊", lc="green")
+            else:
+                raise ConfigError(f"The function annotation source you have requested ('{gene_annotation_source}') does not "
+                                  f"seem to be in this contigs database :/ Here is what we have: {', '.join(self.a_meta['gene_function_sources'])}")
 
         self.progress.new('Storing sequences')
         self.progress.update('...')
@@ -1300,15 +1308,22 @@ def gen_GFF3_file_of_sequences_for_gene_caller_ids(self, gene_caller_ids_list=[]
                 entry = sequences_dict[gene_callers_id]
                 strand = entry['direction'].replace('f','+').replace('r','-')
 
+                if entry['source'] == 'Transfer_RNAs':
+                    seq_type = "tRNA"
+                elif entry['source'].startswith('Ribosomal_RNA'):
+                    seq_type = "rRNA"
+                else:
+                    seq_type = "CDS"
+
                 entry_id = '___'.join([self.a_meta['project_name_str'], str(gene_callers_id)])
                 attributes = f"ID={entry_id}"
                 if gene_functions_found:
                     if gene_callers_id in self.gene_function_calls_dict:
-                        accession, function, evalue = self.gene_function_calls_dict[gene_callers_id]['COG20_FUNCTION']
+                        accession, function, evalue = self.gene_function_calls_dict[gene_callers_id][gene_annotation_source]
                         accession, function = accession.split('!!!')[0], function.split('!!!')[0]
-                        attributes += f";Name={accession};db_xref=COG20:{accession};product={function}"
+                        attributes += f";Name={accession};db_xref={gene_annotation_source}:{accession};product={function}"
 
-                output.write(f"{entry['contig']}\t.\tCDS\t{entry['start'] + 1}\t{entry['stop']}\t.\t{strand}\t.\t{attributes}")
+                output.write(f"{entry['contig']}\t.\t{seq_type}\t{entry['start'] + 1}\t{entry['stop']}\t.\t{strand}\t.\t{attributes}")
                 output.write(name_template.format(entry))
                 output.write('\n')
 
@@ -1617,14 +1632,19 @@ def homogeneity_worker(input_queue, output_queue, gene_clusters_dict, gene_clust
 
         while True:
             gene_cluster_name = input_queue.get(True)
+
             funct_index = {}
             geo_index = {}
-            indices_dict = {}
-            gene_cluster = {}
-            gene_cluster[gene_cluster_name] = gene_clusters_dict[gene_cluster_name]
+
+            gene_cluster = {gene_cluster_name: gene_clusters_dict[gene_cluster_name]}
+            indices_dict = {'gene cluster': gene_cluster_name}
 
             try:
                 funct_index, geo_index, combined_index = homogeneity_calculator.get_homogeneity_dicts(gene_cluster)
+
+                indices_dict['functional'] = funct_index[gene_cluster_name]
+                indices_dict['geometric'] = geo_index[gene_cluster_name]
+                indices_dict['combined'] = combined_index[gene_cluster_name]
             except:
                 if gene_cluster_name not in gene_clusters_failed_to_align:
                     progress.reset()
@@ -2447,35 +2467,22 @@ def filter_gene_clusters_dict(self, args, gene_clusters_dict=None):
 
 
     def init_gene_clusters(self, gene_cluster_ids_to_focus=set([])):
-        """Initialize key gene cluster dictionaries.
-
-        The most essential dictionary generated by this fucntion is the `gene_clusters`
-        dictionary that can also be intialized exclusively for `gene_cluster_ids_to_focus`.
-        The structure of `gene_clusters` look like this:
-
-               >>> {
-               >>>  'gene_cluster_1': {'Genome_1': [gene_1, gene_2, (...)],
-               >>>                     'Genome_2': [],
-               >>>                     'Genome_3': [gene_1, gene_2],
-               >>>                     (...)}
-               >>>  'gene_cluster_2': {(...)},
-               >>>  (...)
-               >>> }
-
-        In addition, another helper dictionary that translates from genome names and gene
-        caller ids to gene cluster names, `gene_callers_id_to_gene_cluster`, is also
-        populated here based on the contents of the `gene_clusters` dictionary. The structure
-        of this dictionary looks like this:
-
-               >>> {
-               >>>  'Genome_1': {'gene_1': 'gene_cluster_x', 'gene_2': 'gene_cluster_y', (...)},
-               >>>  'Genome_2': {'gene_1': 'gene_cluster_z', 'gene_2': 'gene_cluster_x', (...)},
-               >>>  'Genome_3': {'gene_1': 'gene_cluster_x', 'gene_2': 'gene_cluster_m', (...)},
-               >>>  (...)
-               >>> }
-
-        This function also initializes alignment summaries for each gene in each gene cluster and
-        populates `self.gene_clusters_gene_alignments`.
+        """Initializes the gene_clusters dictionary (only for `gene_cluster_ids_to_focus` if necessary).
+
+           At the end, the structure of this dictionary looks like this:
+
+               {
+                'gene_cluster_1': {'Genome_1': [gene_1, gene_2, (...)],
+                                   'Genome_2': [],
+                                   'Genome_3': [gene_1, gene_2],
+                                   (...)}
+                'gene_cluster_2': {(...)},
+                (...)
+               }
+
+          This function also initializes alignment summaries for each gene
+          in each gene cluster. That information is stored in the dict
+          `self.gene_clusters_gene_alignments`.
         """
 
         self.progress.new('Initializing gene clusters')
@@ -2795,7 +2802,20 @@ def __init__(self, args, r=run, p=progress):
             # if self.split_names_of_interest is defined upstream somewhere,
             # but if we ALSO have a collection name here, we want to recover those
             # split names relevant to the collection name later. so in this case,
-            # we will OVERWRITE this variable, which is kind of dangerous.
+            # we will OVERWRITE this variable, which is kind of dangerous. IF this is
+            # causing you headache and sets your split names of interest to null, the
+            # best way to avoid this is to set the collection_name in your args to None,
+            # initialize the ProfileSuper, and then set it back to its original value
+            # after (which has been the case in the refine mode in anvio/interactive.py).
+            if hasattr(self, 'split_names_of_interest'):
+                self.run.warning("Note for programmers: even though the ProfileSuper was initialized with "
+                                 "`self.split_names_of_interest`, the contents of that variable just got "
+                                 "set to `set([])` becasue the context also had `self.collection_name` in "
+                                 "it. If you are concerned about this, read the comments in the code where "
+                                 "this warning is shown. If you are a user, there probably is nothing for "
+                                 "you to be concerned about (unless things go haywire downstream, in which "
+                                 "case our sincere condolences).")
+
             self.split_names_of_interest = set([])
 
         if A('split_names_of_interest'):
@@ -2866,6 +2886,7 @@ def __init__(self, args, r=run, p=progress):
         self.progress.update('Setting profile self data dict')
         self.p_meta = profile_db.meta
 
+        self.p_meta['db_variant'] = str(utils.get_db_variant(self.profile_db_path))
         self.p_meta['creation_date'] = utils.get_time_to_date(self.p_meta['creation_date']) if 'creation_date' in self.p_meta else 'unknown'
         self.p_meta['samples'] = sorted([s.strip() for s in self.p_meta['samples'].split(',')])
         self.p_meta['num_samples'] = len(self.p_meta['samples'])
@@ -2923,7 +2944,8 @@ def __init__(self, args, r=run, p=progress):
         else:
             self.auxiliary_profile_data_available = True
             self.split_coverage_values = auxiliarydataops.AuxiliaryDataForSplitCoverages(self.auxiliary_data_path,
-                                                                                         self.p_meta['contigs_db_hash'])
+                                                                                         self.p_meta['contigs_db_hash'],
+                                                                                         db_variant=self.p_meta['db_variant'])
 
         if self.collection_name and self.bin_names and len(self.bin_names) == 1 and not skip_consider_gene_dbs:
             self.progress.update('Accessing the genes database')
@@ -3590,6 +3612,14 @@ def load_views(self, split_names_of_interest=None, omit_parent_column=False):
 
         views_table = profile_db.db.get_table_as_dict(t.views_table_name)
 
+        # if SNVs are not profiled, we should not have a view for `variability`. See the issue #1845.
+        # FIXME for future generations: if SNVs are skipped, we should even have an entry in the views
+        # table for `variability` :/ but fixing that would require a migration script for profile dbs,
+        # and the person who is implementing this workaround is simply being lazy --do better, and
+        # address this the right way:
+        if not self.p_meta['SNVs_profiled']:
+            views_table.pop('variability')
+
         self.progress.new('Loading views%s' % (' for %d items' % len(split_names_of_interest) if split_names_of_interest else ''))
         for view in views_table:
             self.progress.update('for %s' % view)
@@ -3651,15 +3681,20 @@ def init(self):
 
         self.meta = dbi(self.db_path, expecting=self.db_type).get_self_table()
 
-        for key in ['min_contig_length', 'SNVs_profiled', 'SCVs_profiled', 'min_coverage_for_variability',
+        for key in ['min_contig_length', 'SNVs_profiled', 'SCVs_profiled', 'INDELs_profiled',
                     'merged', 'blank', 'items_ordered', 'report_variability_full', 'num_contigs',
-                    'num_splits', 'total_length']:
+                    'min_coverage_for_variability', 'max_contig_length', 'num_splits', 'total_length']:
             try:
                 self.meta[key] = int(self.meta[key])
             except:
                 pass
 
         self.samples = set([s.strip() for s in self.meta['samples'].split(',')])
+        for key in ['min_percent_identity', 'min_indel_fraction']:
+            try:
+                self.meta[key] = float(self.meta[key])
+            except:
+                pass
 
 
         # open the database
@@ -3837,8 +3872,8 @@ def init(self):
             except:
                 pass
 
-        self.internal_genomes = [s.strip() for s in self.meta['internal_genome_names'].split(',') if len(s.strip())]
-        self.external_genomes = [s.strip() for s in self.meta['external_genome_names'].split(',') if len(s.strip())]
+        self.internal_genomes = [s.strip() for s in self.meta['internal_genome_names'].split(',')]
+        self.external_genomes = [s.strip() for s in self.meta['external_genome_names'].split(',')]
         self.genomes = self.internal_genomes + self.external_genomes
 
         # open the database
@@ -3966,7 +4001,7 @@ def get_hash(self):
         return 'hash' + str('%08x' % random.randrange(16**8))
 
 
-    def touch(self):
+    def touch(self, db_variant='unknown'):
         """Creates an empty contigs database on disk, and sets `self.db` to access to it.
 
         At some point self.db.disconnect() must be called to complete the creation of the new db."""
@@ -3999,6 +4034,9 @@ def touch(self):
         self.db.create_table(t.nucleotide_additional_data_table_name, t.nucleotide_additional_data_table_structure, t.nucleotide_additional_data_table_types)
         self.db.create_table(t.amino_acid_additional_data_table_name, t.amino_acid_additional_data_table_structure, t.amino_acid_additional_data_table_types)
 
+        if db_variant == 'trnaseq':
+            self.db.create_table(t.trna_seed_feature_table_name, t.trna_seed_feature_table_structure, t.trna_seed_feature_table_types)
+
         return self.db
 
 
@@ -4257,7 +4295,7 @@ def create(self, args):
             skip_mindful_splitting = True
 
         # create a blank contigs database on disk, and set the self.db
-        self.touch()
+        self.touch(db_variant)
 
         # know thyself
         self.db.set_meta_value('db_type', 'contigs')
@@ -4632,7 +4670,6 @@ def init(self):
 
     def touch(self):
         """Creates an empty genome view database on disk, and sets `self.db` to access to it.
-
         At some point self.db.disconnect() must be called to complete the creation of the new db."""
 
         is_db_ok_to_create(self.db_path, self.db_type)
@@ -5039,12 +5076,15 @@ def get_default_item_order_name(default_item_order_requested, item_orders_dict,
     matching_item_order_names = [item_order for item_order in item_orders_dict if item_order.lower().split(':')[0] == default_item_order_requested.lower()]
 
     if not len(matching_item_order_names):
-        default_item_order = list(item_orders_dict.keys())[0]
-        run.warning('`get_default_item_order_name` function is concerned, because nothing in the item_orders '
-                    'dict matched to the desired order class "%s". So the order literally set to "%s" '
-                    '(a class of "%s") randomly as the default order. Good luck :/' % (default_item_order_requested,
-                                                                                 default_item_order,
-                                                                                 default_item_order.split(':')[0]))
+        if 'mean_coverage:euclidean:ward' in item_orders_dict:
+            default_item_order = 'mean_coverage:euclidean:ward'
+        else:
+            default_item_order = list(item_orders_dict.keys())[0]
+            run.warning('`get_default_item_order_name` function is concerned, because nothing in the item_orders '
+                        'dict matched to the desired order class "%s". So the order literally set to "%s" '
+                        '(a class of "%s") randomly as the default order. Good luck :/' % (default_item_order_requested,
+                                                                                     default_item_order,
+                                                                                     default_item_order.split(':')[0]))
         return default_item_order
     elif len(matching_item_order_names) == 1:
         return matching_item_order_names[0]
diff --git a/anvio/docs/__init__.py b/anvio/docs/__init__.py
index a12d27dacb..7453930422 100644
--- a/anvio/docs/__init__.py
+++ b/anvio/docs/__init__.py
@@ -22,6 +22,18 @@
         "provided_by_anvio": True,
         "provided_by_user": False
     },
+    "trnaseq-contigs-db": {
+        "name": "TRNASEQ CONTIGS",
+        "type": "DB",
+        "provided_by_anvio": True,
+        "provided_by_user": False
+    },
+    "trnaseq-profile-db": {
+        "name": "TRNASEQ PROFILE",
+        "type": "DB",
+        "provided_by_anvio": True,
+        "provided_by_user": False
+    },
     "modules-db": {
         "name": "MODULES",
         "type": "DB",
@@ -40,6 +52,12 @@
         "provided_by_anvio": True,
         "provided_by_user": True
     },
+    "dna-sequence": {
+        "name": "DNA SEQUENCE",
+        "type": "SEQUENCE",
+        "provided_by_anvio": True,
+        "provided_by_user": True
+    },
     "trnaseq-fasta": {
         "name": "TRNASEQ",
         "type": "FASTA",
@@ -58,6 +76,12 @@
         "provided_by_anvio": False,
         "provided_by_user": True
     },
+    "external-structures": {
+        "name": "EXTERNAL STRUCTURES",
+        "type": "TXT",
+        "provided_by_anvio": False,
+        "provided_by_user": True
+    },
     "concatenated-gene-alignment-fasta": {
         "name": "CONCATENATED GENE ALIGNMENT",
         "type": "FASTA",
@@ -112,6 +136,12 @@
         "provided_by_anvio": False,
         "provided_by_user":True
     },
+    "primers-txt": {
+        "name": "PRIMERS TXT",
+        "type": "TXT",
+        "provided_by_anvio": False,
+        "provided_by_user":True
+    },
     "fasta-txt": {
         "name": "FASTA TXT",
         "type": "TXT",
@@ -143,11 +173,17 @@
         "provided_by_user": False
     },
     "kegg-data": {
-        "name": "KEGG DB",
+        "name": "KEGG MODULES DB",
         "type": "DB",
         "provided_by_anvio": True,
         "provided_by_user": False
     },
+    "user-modules-data": {
+        "name": "USER MODULES DB",
+        "type": "DB",
+        "provided_by_anvio": True,
+        "provided_by_user": True
+    },
     "single-profile-db": {
         "name": "SINGLE PROFILE",
         "type": "DB",
@@ -550,6 +586,36 @@
         "provided_by_anvio": True,
         "provided_by_user": False
     },
+    "trnaseq-seed-txt": {
+        "name": "TRNASEQ SEED SUMMARY",
+        "type": "TXT",
+        "provided_by_anvio": True,
+        "provided_by_user": False
+    },
+    "seeds-specific-txt": {
+        "name": "TRNASEQ SEED SUMMARY",
+        "type": "TXT",
+        "provided_by_anvio": True,
+        "provided_by_user": False
+    },
+    "seeds-non-specific-txt": {
+        "name": "TRNASEQ SEED SUMMARY",
+        "type": "TXT",
+        "provided_by_anvio": True,
+        "provided_by_user": False
+    },
+    "modifications-txt": {
+        "name": "TRNASEQ MODIFICATION SUMMARY",
+        "type": "TXT",
+        "provided_by_anvio": True,
+        "provided_by_user": False
+    },
+    "trnaseq-plot": {
+        "name": "TRNASEQ PLOT",
+        "type": "DISPLAY",
+        "provided_by_anvio": True,
+        "provided_by_user": False
+    },
     "summary": {
         "name": "STATIC SUMMARY",
         "type": "SUMMARY",
@@ -592,6 +658,12 @@
         "provided_by_anvio": True,
         "provided_by_user": False
     },
+    "user-metabolism": {
+        "name": "USER METABOLISM ESTIMATES",
+        "type": "TXT",
+        "provided_by_anvio": True,
+        "provided_by_user": False
+    },
     "augustus-gene-calls": {
         "name": "AUGUSTUS GENE CALLS",
         "type": "TXT",
diff --git a/anvio/genomedescriptions.py b/anvio/genomedescriptions.py
index 8ee84b0dc8..11e1bfe039 100644
--- a/anvio/genomedescriptions.py
+++ b/anvio/genomedescriptions.py
@@ -359,7 +359,7 @@ def get_functions_and_sequences_dicts_from_contigs_db(self, genome_name, request
         if genome_name in self.internal_genome_names:
             args.split_names_of_interest = self.get_split_names_of_interest_for_internal_genome(g)
 
-        contigs_super = dbops.ContigsSuperclass(args, r=anvio.terminal.Run(verbose=False), p=self.progress)
+        contigs_super = dbops.ContigsSuperclass(args, r=anvio.terminal.Run(verbose=False))
 
         if self.functions_are_available:
             contigs_super.init_functions(requested_sources=requested_source_list)
@@ -452,10 +452,8 @@ def init_functions(self):
                                             (', '.join(self.function_annotation_sources), ', '.join(function_annotation_sources_some_genomes_miss)))
                 else:
                     # every function ever observed is common to all genomes.
-                    self.run.warning(f"Good news! Anvi'o found functions that are common to all of your genomes and will use them for "
-                                     f"downstream analyses and is very proud of you. Here is the "
-                                     f"{P('annotation source', len(self.function_annotation_sources), alt='list of annotation sources')}: "
-                                     f"anvi'o recognizes: {', '.join(self.function_annotation_sources)}'.", header="YAY FOR FUNCTIONS 🥂", lc='green')
+                    self.run.warning("Good news! Anvi'o found all these functions that are common to all of your genomes and will use them for "
+                                     "downstream analyses and is very proud of you: '%s'." % (', '.join(self.function_annotation_sources)), lc='green')
 
 
     def get_genome_hash_for_external_genome(self, entry):
@@ -806,13 +804,75 @@ def sanity_check(self):
         [utils.is_this_name_OK_for_database('metagenome name "%s"' % metagenome_name, metagenome_name) for metagenome_name in self.metagenomes]
 
 
+    def get_functions_and_sequences_dicts_from_contigs_db(self, metagenome_name, requested_source_list=None, return_only_functions=False):
+        """This function fetches dictionaries of functions, AA sequences, and DNA sequences for a particular metagenome.
+
+        PARAMETERS
+        ==========
+        metagenome_name, str
+            the metagenome name you want data for
+        requested_source_list, list
+            the functional annotation sources you want data for.
+        return_only_functions, bool
+            Return only functions, and don't bother with sequences
+
+        RETURNS
+        =======
+        function_calls_dict : dictionary of function annotations
+        aa_sequences_dict : dictionary of corresponding amino acid sequences
+        dna_sequences_dict : dictionary of corresponding nucleotide sequences
+        """
+
+        if not requested_source_list:
+            raise ConfigError("Someone is trying to call the `get_functions_and_sequences_dicts_from_contigs_db()` from the MetagenomeDescriptions "
+                              "class without providing a list of annotation sources to use. This won't work unfortunately.")
+
+        g = self.metagenomes[metagenome_name]
+
+        if 'gene_function_sources' not in g:
+            raise ConfigError(f"Uh oh. The metagenome you are trying to load functions from ({metagenome_name}) does not appear to have "
+                              f"functional annotation sources initialized.")
+        g_sources = g['gene_function_sources']
+        srcs_missing_from_g = []
+        for s in requested_source_list:
+            if s not in g_sources:
+                srcs_missing_from_g.append(s)
+        if srcs_missing_from_g:
+            req_str = ", ".join(requested_source_list)
+            avail_str = ", ".join(g_sources)
+            miss_str = ", ".join(srcs_missing_from_g)
+            raise ConfigError(f"Whoops. Some of the functional annotation sources you requested for metagenome {metagenome_name} are "
+                              f"not in its contigs database. These are the sources that you asked for: {req_str}. And these are the "
+                              f"sources that are AVAILABLE for this metagenome: {avail_str}. So, the following sources are MISSING: "
+                              f"{miss_str}")
+
+        args = argparse.Namespace()
+        args.contigs_db = g['contigs_db_path']
+
+        contigs_super = dbops.ContigsSuperclass(args, r=anvio.terminal.Run(verbose=False))
+        contigs_super.init_functions(requested_sources=requested_source_list)
+        function_calls_dict = contigs_super.gene_function_calls_dict
+
+        if return_only_functions:
+            return (function_calls_dict, None, None)
+
+        # get dna sequences
+        gene_caller_ids_list, dna_sequences_dict = contigs_super.get_sequences_for_gene_callers_ids(gene_caller_ids_list=list(g['gene_caller_ids']))
+
+        # get amino acid sequences.
+        # FIXME: this should be done in the contigs super.
+        contigs_db = dbops.ContigsDatabase(g['contigs_db_path'])
+        aa_sequences_dict = contigs_db.db.get_table_as_dict(t.gene_amino_acid_sequences_table_name)
+        contigs_db.disconnect()
+
+        return (function_calls_dict, aa_sequences_dict, dna_sequences_dict)
+
+
 class AggregateGenomes(object):
     """Aggregate information related to a group of genomes from anywhere.
-
     The purpose of this class is to collect all relevant information about
     a group of genomes comprehensively for downstream analyses. The primary
     client of this class is genome view.
-
     Please note that despite similar names, the use of this class and the class
     AggregateFunctions is quite different.
     """
@@ -852,7 +912,6 @@ def __init__(self, args, run=run, progress=progress, skip_init=False):
 
     def init(self, populate_continuous_data=True):
         """Learn everything about genomes of interest.
-
         Calling this funciton will populate multiple critical dictionaries this class
         designed to give access to, including `self.genomes` and `self.gene_associations`.
         """
@@ -863,7 +922,7 @@ def init(self, populate_continuous_data=True):
         # pan database), they are discovered earlier than later:
         self.gene_associations = self.get_gene_associations()
 
-        # now we will go through genomes of interest, and build our gigantic dictionary
+      # now we will go through genomes of interest, and build our gigantic dictionary
         for genome_name in self.genome_names:
             self.genomes[genome_name] = {}
 
@@ -881,7 +940,6 @@ def init(self, populate_continuous_data=True):
 
     def get_gene_associations(self):
         """Recovers gene assoctiations through gene clusters found in a pan database.
-
         FIXME/TODO: also recover gene associations through user-provided input files.
         """
 
@@ -958,10 +1016,8 @@ def populate_continuous_GC_content_data(self):
 
     def populate_genome_continuous_data_layers(self, skip_GC_content=False):
         """Function to populate continuous data layers.
-
         Calling this function will poupulate the `self.continuous_data_layers` data structure, which will
         look something like this:
-
             >>> {
             >>>   "layers": [
             >>>     "GC_content",
@@ -1006,8 +1062,6 @@ def populate_genome_continuous_data_layers(self, skip_GC_content=False):
             >>>     }
             >>>   }
             >>> }
-
-
         Please note: The number of data points in continuous data layers for a given contig will always
         be equal or less than the number of nucleotides in the same contig. When displaying htese data,
         one should always assume that the first data point matches to teh first nucleotide position, and
diff --git a/anvio/interactive.py b/anvio/interactive.py
index 342ace0b8a..e0792fbb9b 100644
--- a/anvio/interactive.py
+++ b/anvio/interactive.py
@@ -195,6 +195,7 @@ def __init__(self, args, external_clustering=None):
             progress.end()
         elif self.inspect_split_name:
             self.split_names_of_interest = set([self.inspect_split_name])
+            self.skip_check_names = True
 
         if self.contigs_db_path:
             self.contigs_db_variant = utils.get_db_variant(self.contigs_db_path)
@@ -899,11 +900,13 @@ def load_functional_mode(self):
                                         distance=self.distance, linkage=self.linkage, make_default=True if view == 'presence_absence_view' else False,
                                         check_names_consistency=False)
 
+            # if there are more than one genome in the analysis (which should almost always be the case),
             # let's get a layer's order, too, and immediately add it to the database:
-            layer_order = clustering.get_newick_tree_data_for_dict(self.views[view]['dict'], transpose=True, zero_fill_missing=True, distance=self.distance, linkage=self.linkage)
-            args = argparse.Namespace(profile_db=self.profile_db_path, target_data_table="layer_orders", just_do_it=True)
-            TableForLayerOrders(args, r=terminal.Run(verbose=False)).add({f"{view.upper()}": {'data_type': 'newick', 'data_value': layer_order}}, skip_check_names=True)
-            self.layers_order_data_dict = TableForLayerOrders(args, r=terminal.Run(verbose=False)).get()
+            if num_genomes > 1:
+                layer_order = clustering.get_newick_tree_data_for_dict(self.views[view]['dict'], transpose=True, zero_fill_missing=True, distance=self.distance, linkage=self.linkage)
+                args = argparse.Namespace(profile_db=self.profile_db_path, target_data_table="layer_orders", just_do_it=True)
+                TableForLayerOrders(args, r=terminal.Run(verbose=False)).add({f"{view.upper()}": {'data_type': 'newick', 'data_value': layer_order}}, skip_check_names=True)
+                self.layers_order_data_dict = TableForLayerOrders(args, r=terminal.Run(verbose=False)).get()
 
             # add vew tables to the database
             TablesForViews(self.profile_db_path).create_new_view(
@@ -928,8 +931,9 @@ def load_functional_mode(self):
         # AND in here in the interactive class to visualize the information.
         self.items_additional_data_keys, self.items_additional_data_dict = TableForItemAdditionalData(args, r=terminal.Run(verbose=False)).get()
 
-        # everything we need is in the database now. time to add a mini state:
-        mini_state = open(os.path.join(os.path.dirname(anvio.__file__), 'data/mini-states/display-functions.json')).read()
+        # everything we need is in the database now. time to add a mini state (note that we
+        # replace the function layer name template with the annotation source on the fly):
+        mini_state = open(os.path.join(os.path.dirname(anvio.__file__), 'data/mini-states/display-functions.json')).read().replace('__FUNCTIONS_LAYER_NAME__', facc.function_annotation_source)
         TablesForStates(self.profile_db_path).store_state('default', mini_state)
 
         # create an instance of states table
@@ -967,6 +971,11 @@ def load_refine_mode(self):
         self.run.info('Number of bins', len(self.bin_names_of_interest))
         self.run.info('Number of splits', len(self.split_names_of_interest))
 
+        if not len(self.split_names_of_interest):
+            raise ConfigError("Something must have gone wrong :/ You are knee deep in refine mode, and have "
+                              "zero split names to work with. You have to go back, Kate. Like, ALL the way "
+                              "back to complaining to the developers on Slack or something :(")
+
         if not self.skip_hierarchical_clustering:
             item_orders = self.cluster_splits_of_interest()
 
@@ -1118,7 +1127,7 @@ def load_collection_mode(self):
             views_for_collection[view] = d
 
         default_clustering_class = 'mean_coverage' if self.p_meta['merged'] else 'single'
-        self.p_meta['default_item_order'] = get_default_item_order_name(default_clustering_class, self.p_meta['available_item_orders'])
+        self.p_meta['default_item_order'] = get_default_item_order_name(default_clustering_class, self.p_meta['item_orders'])
 
         # replace self.views with the new view:
         self.views = views_for_collection
@@ -1213,7 +1222,17 @@ def load_full_mode(self):
         if not self.skip_init_functions:
             self.init_functions()
 
-        ProfileSuperclass.__init__(self, self.args)
+        if self.mode == 'refine':
+            # the refine trick: initialize profile super without a collection
+            # name since we already know our split names:
+            collection_name = self.collection_name
+            self.collection_name = None
+            self.args.collection_name = None
+            ProfileSuperclass.__init__(self, self.args)
+            self.collection_name = collection_name
+            self.args.collection_name = collection_name
+        else:
+            ProfileSuperclass.__init__(self, self.args)
 
         # init item additional data
         ProfileSuperclass.init_items_additional_data(self)
@@ -1303,8 +1322,9 @@ def load_full_mode(self):
 
         self.p_meta['item_orders'] = self.item_orders
 
-        # add user tree if there is one
-        self.add_user_tree()
+        # add user tree if there is one (but skip the collection mode as it adds its own trees)
+        if not self.mode == 'collection':
+            self.add_user_tree()
 
         # set title
         if self.title:
@@ -1461,6 +1481,7 @@ def load_gene_mode(self):
     def add_user_tree(self):
         if self.tree:
             clustering_id = '%s:unknown:unknown' % filesnpaths.get_name_from_file_path(self.tree)
+
             if not self.p_meta['item_orders']:
                 self.p_meta['default_item_order'] = clustering_id
                 self.p_meta['available_item_orders'] = [clustering_id]
@@ -1475,15 +1496,21 @@ def add_user_tree(self):
                 item_names_in_collection = set(self.collection.keys())
                 item_names_in_user_tree = set(utils.get_names_order_from_newick_tree(self.tree, names_with_only_digits_ok=True))
                 if not item_names_in_collection == item_names_in_user_tree:
-                    raise ConfigError(f"You are attempting to run the anvi'o interactive in collection mode, and you ALSO provide a "
-                                      f"tree file to organize your items. Which is all great and this is exactly what anvi'o is for. "
-                                      f"But it seems the {len(item_names_in_user_tree)} items in your tree file do not match to the "
-                                      f"{len(item_names_in_collection)} item names the '{self.collection_name}' collection  describes :/ "
-                                      f"In case it helps you solve this puzzle, here is a name that appears in your tree file: "
-                                      f"'{item_names_in_user_tree.pop()}'. And here is a name that appears in your collection: "
-                                      f"'{item_names_in_collection.pop()}'. If they look good to you, then the problem may be related to "
-                                      f"items that are only in your collection and not in your tree, or vice versa. There should be a one "
-                                      f"to one match between the two.")
+                    if anvio.FORCE_USE_MY_TREE:
+                        run.warning(f"Anvi'o told you that the tree file you provided had {len(item_names_in_user_tree)} names, which "
+                                    f"the {len(item_names_in_collection)} names in the collection '{self.collection_name}', but you said "
+                                    f"--force-use-my-tree. So that's what will happen now (and you will thank Obama if things go wrong)",
+                                    header="YOU USED YOUR AUTHORITY ◔_◔")
+                    else:
+                        raise ConfigError(f"You are attempting to run the anvi'o interactive in collection mode, and you ALSO provide a "
+                                          f"tree file to organize your items. Which is all great and this is exactly what anvi'o is for. "
+                                          f"But it seems the {len(item_names_in_user_tree)} items in your tree file do not match to the "
+                                          f"{len(item_names_in_collection)} item names the '{self.collection_name}' collection  describes :/ "
+                                          f"In case it helps you solve this puzzle, here is a name that appears in your tree file: "
+                                          f"'{item_names_in_user_tree.pop()}'. And here is a name that appears in your collection: "
+                                          f"'{item_names_in_collection.pop()}'. If they look good to you, then the problem may be related to "
+                                          f"items that are only in your collection and not in your tree, or vice versa. There should be a one "
+                                          f"to one match between the two.")
 
 
     def update_items_additional_data_with_functions_per_split_summary(self):
@@ -1858,10 +1885,9 @@ def __init__(self, args, run=run, progress=progress, skip_init=False):
 
     def init_genome_view_db(self):
         """Dealings with the genome view database.
-
         This function will 'create' a genome view database if there is no such database
         exists at the path provided. If there is one already, it will ensure
-        that it matches to the list of genomes aggregated during init. 
+        that it matches to the list of genomes aggregated during init.
         """
 
         if not len(self.genomes):
@@ -1871,7 +1897,7 @@ def init_genome_view_db(self):
         if os.path.exists(self.genome_view_db_path):
             genome_view_db = GenomeViewDatabase(self.genome_view_db_path)
 
-            
+
             if not set(genome_view_db.genomes) == set(self.genomes.keys()):
                 raise ConfigError("The list of genomes names stored in your genome view database do not "
                                   "match to the list of genome names anvi'o recovered from your input "

From 30428e8dee5fc533b842ed39ad8b02da45e5c508 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren (Meren)" <a.murat.eren@gmail.com>
Date: Tue, 9 Aug 2022 10:37:42 +0200
Subject: [PATCH 0767/1020] redundant file

---
 anvio/tests/run_all_tests.sh | 1054 ----------------------------------
 1 file changed, 1054 deletions(-)
 delete mode 100755 anvio/tests/run_all_tests.sh

diff --git a/anvio/tests/run_all_tests.sh b/anvio/tests/run_all_tests.sh
deleted file mode 100755
index af9bf60693..0000000000
--- a/anvio/tests/run_all_tests.sh
+++ /dev/null
@@ -1,1054 +0,0 @@
-#!/bin/bash
-source 00.sh
-
-# Setup #############################
-SETUP_WITH_OUTPUT_DIR $1 $2
-#####################################
-
-INFO "Reformat the contigs FASTA"
-anvi-script-reformat-fasta $files/contigs.fa -o $output_dir/contigs.fa \
-                                             -l 0 \
-                                             --simplify-names \
-                                             --prefix test_prefix \
-                                             --report $output_dir/contigs-reformat-report.txt \
-                                             --no-progress
-SHOW_FILE $output_dir/contigs-reformat-report.txt
-
-# we first generate an empty contigs database using contigs.fa (keep in mind that 'contigs.fa'
-# is the original file all samples were mapped to). here we use split size of 1000 (the default split
-# size is much better for most projects. the small split size used here is simply for testing purposes)
-INFO "Generating a new contigs database with external gene calls"
-anvi-gen-contigs-database -f $files/contigs.fa \
-                          -o $output_dir/CONTIGS.db \
-                          -L 1000 \
-                          --external-gene-calls $files/example_external_gene_calls.txt \
-                          --project-name 'Contigs DB with external gene calls' \
-                          --no-progress
-rm -rf $output_dir/CONTIGS.db
-
-INFO "Generating a new contigs database with the default gene caller"
-anvi-gen-contigs-database -f $files/contigs.fa \
-                          -o $output_dir/CONTIGS.db \
-                          -L 1000 \
-                          --project-name "Contigs DB for anvi'o self-tests" \
-                          --no-progress
-
-INFO "Displaying the info for the contigs databse"
-anvi-db-info $output_dir/CONTIGS.db
-
-INFO "Searching for palindromes in a DNA sequence"
-anvi-search-palindromes --dna-sequence TGTGAGTAGCTGCGGCGTCCGCGACCGGCGGGCGGCATGCATTGACGACACGCTCCGGGCCGCTCAGGCCAAGTCTTTACGGTCTTACAACGCATGCCGCCCACCGGTCGCTCGTAGGTGCGGAAAAGTTATTTGAGATAA \
-                        --min-distance 0 \
-                        --max-num-mismatches 2 \
-                        --no-progress
-
-INFO "Searching for palindromes in a FASTA file"
-anvi-search-palindromes -f $output_dir/contigs.fa \
-                        --max-num-mismatches 2 \
-                        --min-palindrome-length 20 \
-                        --blast-word-size 10 \
-                        --output-file $output_dir/PALINDROMES-IN-FASTA.txt \
-                        --no-progress
-SHOW_FILE $output_dir/PALINDROMES-IN-FASTA.txt
-
-INFO "Searching for palindromes in a contigs database"
-anvi-search-palindromes -c $output_dir/CONTIGS.db \
-                        --max-num-mismatches 2 \
-                        --min-palindrome-length 20 \
-                        --blast-word-size 10 \
-                        --output-file $output_dir/PALINDROMES-IN-CONTIGS-DB.txt \
-                        --no-progress
-SHOW_FILE $output_dir/PALINDROMES-IN-CONTIGS-DB.txt
-
-
-INFO "Initializing raw BAM files"
-# init raw bam files.
-for f in 01 02 03
-do
-    anvi-init-bam $files/SAMPLE-$f-RAW.bam \
-                  --output-file $output_dir/SAMPLE-$f.bam \
-                  --no-progress
-    echo
-done
-
-
-INFO "Rapid profiling of BAM files with anvi-profile blitz in gene mode"
-anvi-profile-blitz $output_dir/*bam \
-                   -c $output_dir/CONTIGS.db \
-                   --gene-mode \
-                   -o $output_dir/PROFILE-BLITZ-GENES.txt \
-                   --no-progress
-
-INFO "Rapid profiling of BAM files with anvi-profile blitz in contig mode"
-anvi-profile-blitz $output_dir/*bam \
-                   -c $output_dir/CONTIGS.db \
-                   --gene-mode \
-                   -o $output_dir/PROFILE-BLITZ-CONTIGS.txt \
-                   --no-progress
-SHOW_FILE $output_dir/PROFILE-BLITZ-CONTIGS.txt
-
-INFO "Setting a new self value in the self table of the contigs databse"
-anvi-db-info $output_dir/CONTIGS.db \
-             --self-key 'a_new_test_key' \
-             --self-value "a new test value" \
-             --just-do-it \
-             --no-progress
-
-INFO "Exporting gene calls from the contigs database"
-anvi-export-gene-calls -c $output_dir/CONTIGS.db \
-                       --gene-caller prodigal \
-                       -o $output_dir/exported_gene_calls.txt \
-                       --no-progress
-
-INFO "Exporting contig sequences from the contigs database"
-anvi-export-contigs -c $output_dir/CONTIGS.db \
-                    -o $output_dir/exported_contig_sequences.fa \
-                    --no-progress
-
-INFO "Exporting contig sequences from the contigs database in 'splits mode'"
-anvi-export-contigs -c $output_dir/CONTIGS.db \
-                    -o $output_dir/exported_split_sequences.fa \
-                    --splits-mode \
-                    --no-progress
-
-INFO "Searching for sequence motifs in the contigs database"
-anvi-search-sequence-motifs -c $output_dir/CONTIGS.db \
-                            --motifs ATCG,TAAAT \
-                            --output-file $output_dir/sequence-motifs-in-contigs.txt \
-                            --no-progress
-SHOW_FILE $output_dir/sequence-motifs-in-contigs.txt
-
-INFO "Populating taxonomy for splits table in the database using 'centrifuge' parser"
-anvi-import-taxonomy-for-genes -c $output_dir/CONTIGS.db \
-                               -p centrifuge \
-                               -i $files/example_files_for_centrifuge_taxonomy/centrifuge_report.tsv $files/example_files_for_centrifuge_taxonomy/centrifuge_hits.tsv \
-                               --no-progress
-
-INFO "Trying to remove HMM sources from the contigs database (when there are none in it)"
-anvi-delete-hmms -c $output_dir/CONTIGS.db \
-                 --just-do-it \
-                 --no-progress
-
-INFO "Populating HMM hits tables in the latest contigs database using default HMM profiles"
-anvi-run-hmms -c $output_dir/CONTIGS.db \
-              --num-threads 2 \
-              --no-progress
-
-INFO "Populating HMM hits tables in the latest contigs database using a mock HMM collection from an external directory"
-anvi-run-hmms -c $output_dir/CONTIGS.db \
-              -H $files/external_hmm_profile \
-              --no-progress
-
-INFO "Generating an ad hoc HMM source from two PFAM accessions (A STEP THAT REQUIRES INTERNET CONNECTION AND RESPONSE FROM XFAM.ORG)"
-anvi-script-pfam-accessions-to-hmms-directory --pfam-accessions-list PF00705 PF00706 \
-                                              -O $output_dir/ADHOC_HMMs \
-                                              --no-progress
-
-INFO "Running the HMMs in the ad hoc user directory"
-anvi-run-hmms -c $output_dir/CONTIGS.db \
-              -H $output_dir/ADHOC_HMMs \
-              --no-progress
-
-INFO "Rerunning HMMs for a specific installed profile"
-anvi-run-hmms -c $output_dir/CONTIGS.db \
-              -I Ribosomal_RNA_16S \
-              --just-do-it \
-              --no-progress
-
-INFO "Rerunning HMMs with hmmsearch"
-anvi-run-hmms -c $output_dir/CONTIGS.db \
-              -I Bacteria_71 \
-              --hmmer-program hmmsearch \
-              --hmmer-output-dir $output_dir \
-              --domain-hits-table \
-              --just-do-it \
-              --no-progress
-
-INFO "Filtering hmm_hits using target coverage"
-anvi-script-filter-hmm-hits-table -c $output_dir/CONTIGS.db \
-                                  --domain-hits-table $output_dir/hmm.domtable \
-                                  --hmm-source Bacteria_71 \
-                                  --target-coverage 0.9 \
-                                  --no-progress
-
-INFO "Listing all available HMM sources in the contigs database"
-anvi-delete-hmms -c $output_dir/CONTIGS.db \
-                 --list \
-                 --no-progress
-
-INFO "Removing HMM hits for Rinke_et_al from the contigs database"
-anvi-delete-hmms -c $output_dir/CONTIGS.db \
-                 --hmm-source Rinke_et_al \
-                 --no-progress
-
-INFO "Export genomic locus using HMM"
-anvi-export-locus -c $output_dir/CONTIGS.db \
-                  -O $output_dir/exported_locus_from_hmm \
-                  -n 22,22 \
-                  -s RNA_pol_Rpb6 \
-                  --use-hmm \
-                  --hmm-sources Bacteria_71 \
-                  --no-progress
-
-INFO "Export genomic locus using HMM (multiple, only 1 expected hit)"
-anvi-export-locus -c $output_dir/CONTIGS.db \
-                  -O $output_dir/exported_locus_from_hmm_multi \
-                  -n 22,22 \
-                  -s RNA_pol_Rpb6,fake_gene \
-                  --use-hmm \
-                  --hmm-sources Bacteria_71 \
-                  --no-progress
-
-INFO "Recovering completeness esimates for the contigs db"
-anvi-compute-completeness -c $output_dir/CONTIGS.db
-
-INFO "Importing gene function calls using 'interproscan' parser"
-anvi-import-functions -c $output_dir/CONTIGS.db \
-                      -i $files/example_interpro_output.tsv \
-                      -p interproscan \
-                      --no-progress
-
-INFO "Listing all available function call sources in the contigs database"
-anvi-export-functions -c $output_dir/CONTIGS.db \
-                      --list-annotation-sources \
-                      --no-progress
-
-INFO "Deleting gene functions that do not exist along with those that do"
-anvi-delete-functions -c $output_dir/CONTIGS.db \
-                      --annotation-sources PRINTS,XXX,PIRSF,YYY \
-                      --no-progress
-
-INFO "Importing gene function calls INCREMENTALLY using a TAB-delimited default input matrix"
-anvi-import-functions -c $output_dir/CONTIGS.db \
-                      -i $files/example_gene_functions_input_matrix.txt \
-                      --no-progress
-
-INFO "REPLACING gene function calls using a TAB-delimited default input matrix"
-anvi-import-functions -c $output_dir/CONTIGS.db \
-                      -i $files/example_gene_functions_input_matrix.txt \
-                      --drop-previous-annotations \
-                      --no-progress
-
-INFO "Export all functional annotations"
-anvi-export-functions -c $output_dir/CONTIGS.db \
-                      -o $output_dir/exported_functions_from_all_sources.txt \
-                      --no-progress
-SHOW_FILE $output_dir/exported_functions_from_all_sources.txt
-
-INFO "Export genomic locus using functional annotation search"
-anvi-export-locus -c $output_dir/CONTIGS.db \
-                  -O $output_dir/exported_locus_from_functions \
-                  -n 22,22 \
-                  -s NusB \
-                  --force-overwrite \
-                  --no-progress
-
-INFO "Export genomic locus using functional annotation search (multiple; 2 expected)"
-anvi-export-locus -c $output_dir/CONTIGS.db \
-                  -O $output_dir/exported_locus_from_functions \
-                  -n 22,22 \
-                  -s NusB,'Glutamine amidotransferase class-I' \
-                  --force-overwrite \
-                  --no-progress
-
-INFO "Export genomic locus using functional annotation search in flank-mode"
-anvi-export-locus -c $output_dir/CONTIGS.db \
-                  -O $output_dir/exported_locus_from_functions \
-                  --flank-mode  \
-                  -s NusB,rpoz \
-                  --force-overwrite \
-                  --no-progress
-
-INFO "Export only Pfam annotations"
-anvi-export-functions -c $output_dir/CONTIGS.db \
-                      -o $output_dir/exported_functions_from_source_Pfam.txt \
-                      --annotation-sources Pfam \
-                      --no-progress
-
-INFO "Contigs DB is ready; here are the tables in it:"
-sqlite3 $output_dir/CONTIGS.db '.tables'
-
-INFO "Generating a 'blank profile' with the newly generated contigs database"
-anvi-profile -c $output_dir/CONTIGS.db \
-             -o $output_dir/BLANK-PROFILE \
-             -S BLANK \
-             --blank-profile \
-             --no-progress
-
-INFO "Adding a default collection to the blank profile"
-anvi-script-add-default-collection -c $output_dir/CONTIGS.db \
-                                   -p $output_dir/BLANK-PROFILE/PROFILE.db \
-                                   --no-progress
-
-INFO "Importing a collection into the blank profile"
-anvi-import-collection -c $output_dir/CONTIGS.db \
-                       -p $output_dir/BLANK-PROFILE/PROFILE.db \
-                       -C collection_blank $files/collection_for_blank_profile.txt \
-                       --no-progress
-
-INFO "Summarizing the collection stored in the blank profile"
-anvi-summarize -c $output_dir/CONTIGS.db \
-               -p $output_dir/BLANK-PROFILE/PROFILE.db \
-               -C collection_blank \
-               -o $output_dir/BLANK-SUMMARY \
-               --no-progress
-
-# for each sample, run the profiling using the same split size used for the contigs database.
-# profiling generates individual directiorues uner $output_dir directory for each sample.
-for f in 01 02 03
-do
-    INFO "Profiling sample SAMPLE-$f"
-    anvi-profile -i $output_dir/SAMPLE-$f.bam \
-                 -o $output_dir/SAMPLE-$f \
-                 -c $output_dir/CONTIGS.db \
-                 --profile-SCVs \
-                 --no-progress
-
-    INFO "Importing short-read-level taxonomy for SAMPLE-$f"
-    anvi-import-taxonomy-for-layers -p $output_dir/SAMPLE-$f/PROFILE.db \
-                                    -i $files/example_files_for_kraken_hll_taxonomy/SAMPLE-$f.mpa \
-                                    --parser krakenuniq \
-                                    --no-progress
-
-    INFO "Importing a collection"
-    anvi-import-collection -c $output_dir/CONTIGS.db \
-                           -p $output_dir/SAMPLE-$f/PROFILE.db \
-                           -C CONCOCT \
-                           $files/concoct_mini_test.txt \
-                           --no-progress
-done
-
-INFO "Fast summary of the single profile databases"
-anvi-summarize-blitz $output_dir/SAMPLE-0*/PROFILE.db \
-                     -c $output_dir/CONTIGS.db \
-                     -C CONCOCT \
-                     -o $output_dir/SUMMARY-BLITZ.txt \
-                     --no-progress
-SHOW_FILE $output_dir/SUMMARY-BLITZ.txt
-
-# Run anvi-profile on one of the samples using the multi-process routine, just to make sure it does
-# not crash. FIXME Ideally, this step would compare the identicalness of
-# MULTI-THREAD-SAMPLE-01/PROFILE.db and SAMPLE-01/PROFILE.db
-INFO "Profiling sample SAMPLE-01 with --force-multi"
-anvi-profile -i $output_dir/SAMPLE-01.bam \
-             -o $output_dir/MULTI-THREAD-SAMPLE-01 \
-             -c $output_dir/CONTIGS.db \
-             --cluster \
-             --profile-SCVs \
-             --force-multi \
-             --no-progress
-rm -rf $output_dir/MULTI-THREAD-SAMPLE-01
-
-INFO "Merging profiles"
-anvi-merge $output_dir/*/PROFILE.db -o $output_dir/SAMPLES-MERGED \
-                                    -c $output_dir/CONTIGS.db \
-                                    --description $files/example_description.md \
-                                    --no-progress
-
-INFO "Merging profiles without any clustering"
-anvi-merge $output_dir/*/PROFILE.db -o $output_dir/SAMPLES-MERGED-WO-CLUSTERING \
-                              -c $output_dir/CONTIGS.db \
-                              --skip-hierarchical-clustering \
-                              --no-progress
-
-INFO "Importing a collection file into the merged profile"
-anvi-import-collection -c $output_dir/CONTIGS.db \
-                       -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                       -C CONCOCT \
-                       $files/concoct_mini_test.txt \
-                       --no-progress
-
-INFO "Update the description in the merged profile"
-anvi-update-db-description $output_dir/SAMPLES-MERGED/PROFILE.db \
-                           --description $files/example_description.md \
-                           --no-progress
-
-INFO "Generating coverages and sequences files for splits (for external binning)"
-anvi-export-splits-and-coverages -c $output_dir/CONTIGS.db \
-                                 -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                                 --no-progress
-
-INFO "Generating per-nt position coverage values for a single split across samples"
-anvi-get-split-coverages -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                         -o $output_dir/contig_1720_split_00001_coverages.txt \
-                         --split-name 204_10M_MERGED.PERFECT.gz.keep_contig_1720_split_00001 \
-                         --no-progress
-
-INFO "Generating per-nt position coverage values for splits in a bin across samples"
-anvi-get-split-coverages -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                         -c $output_dir/CONTIGS.db \
-                         -o $output_dir/split_coverages_in_Bin_1.txt \
-                         -C CONCOCT \
-                         -b Bin_1 \
-                         --no-progress
-SHOW_FILE $output_dir/split_coverages_in_Bin_1.txt
-
-INFO "Generating per-nt position coverage values for a single gene with its 20nt flanks across samples"
-anvi-get-split-coverages -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                         -c $output_dir/CONTIGS.db \
-                         -o $output_dir/gene_caller_id_5_coverages.txt \
-                         --gene-caller-id 5 \
-                         --flank-length 20 \
-                         --no-progress
-SHOW_FILE $output_dir/gene_caller_id_5_coverages.txt
-
-INFO "Cluster matrix with missing data"
-anvi-matrix-to-newick $files/example_matrix_with_missing_data.txt \
-                      -o $output_dir/newick_tree_for_matrix_with_missing_data.txt \
-                      --no-progress
-
-INFO "Cluster contigs in the newly generated coverages file"
-anvi-matrix-to-newick $output_dir/SAMPLES-MERGED/SAMPLES_MERGED-COVs.txt
-
-INFO "Cluster contigs in the newly generated coverages file using 'canberra' distance, and 'complete' linkage, and report and additional items order file"
-anvi-matrix-to-newick $output_dir/SAMPLES-MERGED/SAMPLES_MERGED-COVs.txt \
-                      --distance canberra \
-                      --linkage complete \
-                      -o $output_dir/SAMPLES-MERGED/SAMPLES_MERGED-COVs_CANB_COMP.newick \
-                      --items-order-file $output_dir/SAMPLES-MERGED/SAMPLES_MERGED-COVs_CANB_COMP-ITEMS-ORDER.txt \
-                      --no-progress
-
-INFO "Generating network descriptions for samples based on gene functions"
-anvi-gen-network -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                 -c $output_dir/CONTIGS.db \
-                 --annotation-source Pfam \
-                 --no-progress
-
-INFO "Use anvi-experimental-organization to generate a tree from a new configuration to store it in a file (not in the database)"
-anvi-experimental-organization $files/example_clustering_configuration.ini \
-                               -i $output_dir/SAMPLES-MERGED \
-                               -c $output_dir/CONTIGS.db \
-                               -o $output_dir/SAMPLES-MERGED/EXP-ORG-FILE.txt \
-                               --skip-store-in-db \
-                               --no-progress
-
-INFO "Use anvi-experimental-organization to generate a tree from a non-default configuration, and add the resulting tree into the database as 'experimental'"
-anvi-experimental-organization $files/example_clustering_configuration.ini \
-                               -i $output_dir/SAMPLES-MERGED \
-                               -c $output_dir/CONTIGS.db \
-                               -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                               --name experimental \
-                               --no-progress
-
-INFO "Use anvi-experimental-organization to generate a tree from a non-default configuration, but overwrite linkage method and distance metric"
-anvi-experimental-organization $files/example_clustering_configuration.ini \
-                               -i $output_dir/SAMPLES-MERGED \
-                               -c $output_dir/CONTIGS.db \
-                               -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                               --name experimental \
-                               --distance canberra \
-                               --linkage complete \
-                               --no-progress
-
-INFO "Adding a 'DEFAULT' collection that describes all splits in an 'EVERYTHING' bin to the merged profile"
-anvi-script-add-default-collection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                                   --no-progress
-
-INFO "Importing external binning results for splits into the profile database as 'SPLITS_IMPORTED'"
-anvi-import-collection $files/example_files_for_external_binning_results/external_binning_of_splits.txt \
-                       -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                       -c $output_dir/CONTIGS.db \
-                       --collection-name 'SPLITS_IMPORTED' \
-                       --bins-info $files/example_files_for_external_binning_results/example_bins_info_file.txt \
-                       --no-progress
-
-INFO "Importing external binning results for splits into the profile database as 'CONTIGS_IMPORTED'"
-anvi-import-collection $files/example_files_for_external_binning_results/external_binning_of_contigs.txt \
-                       -c $output_dir/CONTIGS.db \
-                       -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                       --collection-name 'CONTIGS_IMPORTED' \
-                       --bins-info $files/example_files_for_external_binning_results/example_bins_info_file.txt \
-                       --contigs-mode \
-                       --no-progress
-
-INFO "Merging Bin_2 and Bin_3 into a new bin in the collection 'CONTIGS_IMPORTED'"
-anvi-merge-bins -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                --collection-name 'CONTIGS_IMPORTED' \
-                --bin-names-list Bin_2,Bin_3 \
-                --new-bin-name merged_bins \
-                --no-progress
-
-INFO "Exporting the 'CONTIGS_IMPORTED' collection that was just imported"
-anvi-export-collection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                       -C CONTIGS_IMPORTED \
-                       --output-file-prefix $output_dir/exported-collection \
-                       --no-progress
-
-INFO "Exporting the 'CONTIGS_IMPORTED' collection that was just imported *with* unbinned items"
-anvi-export-collection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                       -C CONTIGS_IMPORTED \
-                       --output-file-prefix $output_dir/exported-collection \
-                       --include-unbinned \
-                       --no-progress
-
-INFO "Re-importing a collection from files just exported for CONTIGS_IMPORTED collection (just to confuse you, and to see if we can import stuff we export)"
-anvi-import-collection $output_dir/exported-collection.txt \
-                       -c $output_dir/CONTIGS.db \
-                       -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                       --collection-name 'CONTIGS_RE_IMPORTED' \
-                       --bins-info $output_dir/exported-collection-info.txt \
-                       --no-progress
-
-INFO "Deleting the collection 'CONTIGS_RE_IMPORTED'"
-anvi-delete-collection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                       -C CONTIGS_RE_IMPORTED \
-                       --no-progress
-
-
-INFO "Importing 'cmdline_concoct' collection file into the merged profile"
-anvi-import-collection -c $output_dir/CONTIGS.db \
-                       -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                       -C cmdline_concoct \
-                       $files/concoct_mini_test.txt \
-                       --no-progress
-
-INFO "Rename bins in collection 'cmdline_concoct' using SCG averages"
-anvi-rename-bins -c $output_dir/CONTIGS.db \
-                 -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                 --prefix 'PSAMPLES' \
-                 --collection-to-read "cmdline_concoct" \
-                 --collection-to-write "cmdline_concoct_RENAMED" \
-                 --report-file $output_dir/renaming-report.txt \
-                 --no-progress
-SHOW_FILE $output_dir/renaming-report.txt
-
-INFO "Requesting collection info"
-anvi-estimate-genome-completeness -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                                  -c $output_dir/CONTIGS.db \
-                                  -C "cmdline_concoct_RENAMED" \
-                                  --no-progress
-
-INFO "Summarizing CONCOCT results"
-anvi-summarize -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-               -c $output_dir/CONTIGS.db \
-               -o $output_dir/SAMPLES-MERGED-SUMMARY \
-               -C 'cmdline_concoct_RENAMED' \
-               --init-gene-coverages \
-               --reformat-contig-names \
-               --no-progress
-
-INFO "Run quick summary of CONCOCT results"
-anvi-summarize -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-               -c $output_dir/CONTIGS.db \
-               -o $output_dir/SAMPLES-MERGED-SUMMARY-QUICK \
-               -C 'cmdline_concoct_RENAMED' \
-               --reformat-contig-names \
-               --quick-summary \
-               --no-progress
-
-INFO "Generate a SNV variabilty profile for PSAMPLES_Bin_00001 using a collection id"
-anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
-                             -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                             -C cmdline_concoct_RENAMED \
-                             -b PSAMPLES_Bin_00001 \
-                             -o $output_dir/variability_PSAMPLES_Bin_00001.txt \
-                             --quince-mode \
-                             --no-progress
-SHOW_FILE $output_dir/variability_PSAMPLES_Bin_00001.txt
-
-INFO "Generate a SNV profile for PSAMPLES_Bin_00001 using genes of interest (after summary)"
-anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
-                             -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                             --genes-of-interest $files/example_genes_of_interest.txt \
-                             -o $output_dir/variability_PSAMPLES_Bin_00001_ALT_GENES_of_INTEREST.txt \
-                             --engine NT \
-                             --no-progress
-SHOW_FILE $output_dir/variability_PSAMPLES_Bin_00001_ALT_GENES_of_INTEREST.txt
-
-INFO "Generate a SNV profile for PSAMPLES_Bin_00001 using split names of interest (after summary)"
-anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
-                             -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                             --splits-of-interest $output_dir/SAMPLES-MERGED-SUMMARY/bin_by_bin/PSAMPLES_Bin_00001/PSAMPLES_Bin_00001-original_split_names.txt \
-                             -o $output_dir/variability_PSAMPLES_Bin_00001_ALT_SPLITS_of_INTEREST.txt \
-                             --engine NT \
-                             --no-progress
-SHOW_FILE $output_dir/variability_PSAMPLES_Bin_00001_ALT_SPLITS_of_INTEREST.txt
-
-INFO "Generate a SCV profile for PSAMPLES_Bin_00001 using a collection id"
-anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
-                             -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                             -C cmdline_concoct_RENAMED \
-                             -b PSAMPLES_Bin_00001 \
-                             -o $output_dir/variability_CDN_PSAMPLES_Bin_00001.txt \
-                             --quince-mode \
-                             --engine CDN \
-                             --no-progress
-SHOW_FILE $output_dir/variability_CDN_PSAMPLES_Bin_00001.txt
-
-INFO "Generate a SAAV profile for PSAMPLES_Bin_00001 using a collection id"
-anvi-gen-variability-profile -c $output_dir/CONTIGS.db \
-                             -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                             -C cmdline_concoct_RENAMED \
-                             -b PSAMPLES_Bin_00001 \
-                             -o $output_dir/variability_AA_PSAMPLES_Bin_00001.txt \
-                             --quince-mode \
-                             --engine AA \
-                             --no-progress
-
-INFO "Computing INSeq stats database"
-anvi-gen-gene-level-stats-databases -c $output_dir/CONTIGS.db \
-                                    -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                                    -C DEFAULT \
-                                    -b EVERYTHING \
-                                    --inseq-stats \
-                                    --no-progress
-
-INFO "Searching for sequence motifs in the profile database"
-anvi-search-sequence-motifs -c $output_dir/CONTIGS.db \
-                            -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                            --motifs ATCG,TAAAT \
-                            --output-file $output_dir/sequence-motifs-in-profile.txt \
-                            --no-progress
-SHOW_FILE $output_dir/sequence-motifs-in-profile.txt
-
-INFO "Generating normalized codon frequencies for all genes in the contigs database"
-anvi-get-codon-frequencies -c $output_dir/CONTIGS.db \
-                           -o $output_dir/CODON_frequencies_for_the_contigs_db.txt \
-                           --merens-codon-normalization \
-                           --no-progress
-SHOW_FILE $output_dir/CODON_frequencies_for_the_contigs_db.txt
-
-INFO "Getting back the sequence for gene call 3"
-anvi-get-sequences-for-gene-calls -c $output_dir/CONTIGS.db \
-                                  --gene-caller-ids 3 \
-                                  -o $output_dir/Sequence_for_gene_caller_id_3.fa \
-                                  --no-progress
-
-INFO "Getting back the AA sequence for gene call 3"
-anvi-get-sequences-for-gene-calls -c $output_dir/CONTIGS.db \
-                                  --gene-caller-ids 3 \
-                                  --get-aa-sequences \
-                                  -o $output_dir/AA_sequence_for_gene_caller_id_3.fa \
-                                  --no-progress
-
-INFO "Getting back the sequence for gene call 3 (export as GFF3)"
-anvi-get-sequences-for-gene-calls -c $output_dir/CONTIGS.db \
-                                  --gene-caller-ids 3 \
-                                  --export-gff3 \
-                                  -o $output_dir/Sequence_for_gene_caller_id_3.gff \
-                                  --no-progress
-
-INFO "Getting back the sequence for gene call 3 with flank-length of 50 nucleotides"
-anvi-get-sequences-for-gene-calls -c $output_dir/CONTIGS.db \
-                                  --gene-caller-ids 3 \
-                                  --flank-length 50 \
-                                  -o $output_dir/Sequence_for_gene_caller_id_3_50nt.fa \
-                                  --no-progress
-
-INFO "Export gene coverage and detection data"
-anvi-export-gene-coverage-and-detection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                                        -c $output_dir/CONTIGS.db \
-                                        -O $output_dir/MERGED \
-                                        --no-progress
-
-INFO "Export gene coverage and detection data for a single gene"
-anvi-export-gene-coverage-and-detection -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                                        -c $output_dir/CONTIGS.db \
-                                        --gene-caller-id 1 \
-                                        -O $output_dir/MERGED-GENE-01 \
-                                        --no-progress
-SHOW_FILE $output_dir/MERGED-GENE-01-GENE-COVERAGES.txt
-SHOW_FILE $output_dir/MERGED-GENE-01-GENE-DETECTION.txt
-
-INFO "Show all available HMM sources"
-anvi-get-sequences-for-hmm-hits -c $output_dir/CONTIGS.db \
-                                -o /dev/null \
-                                -l \
-                                --no-progress
-
-INFO "Show available gene names in HMM sources"
-anvi-get-sequences-for-hmm-hits -c $output_dir/CONTIGS.db \
-                                -o /dev/null \
-                                -L \
-                                --no-progress
-
-INFO "Get DNA sequences for HMM hits for a bin in a collection"
-anvi-get-sequences-for-hmm-hits -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                                -c $output_dir/CONTIGS.db \
-                                -C CONCOCT \
-                                -b Bin_1 \
-                                -o $output_dir/hmm_hits_sequences_in_Bin_1.txt \
-                                --no-progress
-
-INFO "Get DNA sequences for all ABC transporter hits defined in an HMM source"
-anvi-get-sequences-for-hmm-hits -c $output_dir/CONTIGS.db \
-                                -o $output_dir/ABC_transporter_hits_in_external_hmm_profile.txt \
-                                --gene-names ABC_tran \
-                                --hmm-source external_hmm_profile \
-                                --no-progress
-
-INFO "Get AA sequences for HMM hits for a bin in a collection"
-anvi-get-sequences-for-hmm-hits -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                                -c $output_dir/CONTIGS.db \
-                                -C CONCOCT \
-                                -b Bin_1 \
-                                -o $output_dir/hmm_hits_sequences_in_Bin_1.txt \
-                                --get-aa-sequences \
-                                --no-progress
-
-INFO "Import layer additional data from file"
-anvi-import-misc-data $files/samples-information.txt \
-                      -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                      --target-data-table layers \
-                      --no-progress
-
-INFO "Import layer orders from file"
-anvi-import-misc-data $files/samples-order.txt \
-                      -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                      --target-data-table layer_orders \
-                      --no-progress
-
-INFO "Import items additional data from file"
-anvi-import-misc-data $files/items_additional_data.txt \
-                      -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                      --target-data-table items \
-                      --no-progress
-
-INFO "Show available misc data keys"
-anvi-show-misc-data -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                    --no-progress
-
-INFO "Export items additional data"
-anvi-export-misc-data -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                      --target-data-table items \
-                      -o $output_dir/exported_items_additional_data.txt \
-                      --no-progress
-
-INFO "Remove a single data key from items additional data"
-anvi-delete-misc-data -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                      --target-data-table items \
-                      --keys "test_column" \
-                      --no-progress
-
-INFO "Remove all data in items additional data"
-anvi-delete-misc-data -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                      --target-data-table items \
-                      --just-do-it \
-                      --no-progress
-
-INFO "Getting all short reads from BAM files for all samples"
-anvi-get-short-reads-from-bam $output_dir/SAMPLE-01.bam $output_dir/SAMPLE-02.bam $output_dir/SAMPLE-03.bam \
-                              -o $output_dir/all_short_reads_from_SAMPLE_bam_files.fa \
-                              --no-progress
-
-INFO "Getting all short reads from BAM files for split and gzipped"
-anvi-get-short-reads-from-bam $output_dir/SAMPLE-01.bam $output_dir/SAMPLE-02.bam $output_dir/SAMPLE-03.bam \
-                              -O $output_dir/all_short_reads_split \
-                              --split-R1-and-R2 \
-                              --gzip-output \
-                              --no-progress
-
-INFO "Getting short reads from BAM files that match to a specific region in a specific contig"
-anvi-get-short-reads-from-bam $output_dir/SAMPLE-01.bam $output_dir/SAMPLE-02.bam $output_dir/SAMPLE-03.bam \
-                              --target-contig 204_10M_MERGED.PERFECT.gz.keep_contig_878 \
-                              --target-region-start 100 \
-                              --target-region-end 101 \
-                              -o $output_dir/all_short_reads_matching_to_contig.fa \
-                              --no-progress
-
-INFO "Getting short reads from BAM files matching to contigs in a specific bin"
-anvi-get-short-reads-from-bam $output_dir/SAMPLE-01.bam $output_dir/SAMPLE-02.bam $output_dir/SAMPLE-03.bam \
-                              -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                              -c $output_dir/CONTIGS.db \
-                              -C CONCOCT \
-                              -b Bin_1 \
-                              -o $output_dir/all_short_reads_matching_to_CONCOCT_Bin_1_contigs.fa \
-                              --no-progress
-
-INFO "Get linkmers from all BAM files for some distant positions"
-anvi-report-linkmers --contigs-and-positions $files/distant_positions_for_linkmers.txt \
-                     -i $output_dir/*.bam \
-                     -o $output_dir/distant_linkmers.txt \
-                     --no-progress
-
-INFO "Get linkmers from all BAM files for some adjacent positions connected with --only-complete-links"
-anvi-report-linkmers --contigs-and-positions $files/adjacent_positions_for_linkmers.txt \
-                     -i $output_dir/*.bam \
-                     -o $output_dir/adjacent_linkmers.txt \
-                     --only-complete-links \
-                     --no-progress
-
-INFO "Oligotype linkmers report generated for adjacent nucleotide positions"
-anvi-oligotype-linkmers -i $output_dir/adjacent_linkmers.txt \
-                        -o $output_dir/ \
-                        --no-progress
-
-INFO "Running anvi'o script to correct homopolymer INDELs in --test-run mode"
-anvi-script-fix-homopolymer-indels --test-run \
-                                   --no-progress
-
-INFO "Running anvi'o script to correct homopolymer INDELs with real files"
-cp $files/single_contig_with_INDEL_errors.fa $output_dir/
-cp $files/single_contig.fa $output_dir/
-anvi-script-fix-homopolymer-indels --input $output_dir/single_contig_with_INDEL_errors.fa \
-                                   --reference $output_dir/single_contig.fa \
-                                   --output $output_dir/single_contig_INDEL_errors_FIXED.fa \
-                                   --verbose \
-                                   --no-progress
-
-INFO "Search for functions to get split names with matching genes"
-anvi-search-functions -c $output_dir/CONTIGS.db \
-                      --search transporter,kinase \
-                      -o $output_dir/transporter-hits.txt \
-                      --verbose \
-                      --no-progress
-
-INFO "Get all short reads that map to the gene ID 38 (which is a Zinc transpoprter)"
-anvi-get-short-reads-mapping-to-a-gene -c $output_dir/CONTIGS.db \
-                                       --gene-caller-id 38 \
-                                       --leeway 100 \
-                                       -i $output_dir/*bam \
-                                       -O $output_dir/reads-mapping-to \
-                                       --no-progress
-
-INFO "Get AA counts for the entire contigs database"
-anvi-get-aa-counts -c $output_dir/CONTIGS.db \
-                   -o $output_dir/aa_counts_for_contigs_db.txt \
-                   --no-progress
-SHOW_FILE $output_dir/aa_counts_for_contigs_db.txt
-
-INFO "Get AA counts for bins in collection CONCOCT stored in the merged profile"
-anvi-get-aa-counts -c $output_dir/CONTIGS.db \
-                   -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                   -C CONCOCT \
-                   -o $output_dir/aa_counts_for_bins_in_collection_CONCOCT.txt \
-                   --no-progress
-SHOW_FILE $output_dir/aa_counts_for_bins_in_collection_CONCOCT.txt
-
-INFO "Get AA counts for bin 'bin_3' in collection CONCOCT stored in the merged profile"
-anvi-get-aa-counts -c $output_dir/CONTIGS.db \
-                   -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                   -C CONCOCT \
-                   -o $output_dir/aa_counts_for_bin_3_in_collection_CONCOCT.txt \
-                   -B $files/sample_CONCOCT_bin_id.txt \
-                   --no-progress
-SHOW_FILE $output_dir/aa_counts_for_bin_3_in_collection_CONCOCT.txt
-
-INFO "Get AA counts for bin 'bin_3' in collection CONCOCT stored in the merged profile"
-anvi-get-aa-counts -c $output_dir/CONTIGS.db \
-                   --contigs-of-interest $files/sample_contig_ids.txt \
-                   -o $output_dir/aa_counts_for_two_contigs.txt \
-                   --no-progress
-SHOW_FILE $output_dir/aa_counts_for_two_contigs.txt
-
-INFO "Get AA counts for five genes"
-anvi-get-aa-counts -c $output_dir/CONTIGS.db \
-                   --gene-caller-ids $files/sample_gene_call_ids.txt \
-                   -o $output_dir/aa_counts_for_five_genes.txt \
-                   --no-progress
-SHOW_FILE $output_dir/aa_counts_for_five_genes.txt
-
-INFO "Importing a state file into the merged profile"
-anvi-import-state -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                  --state $files/example_state.json \
-                  --name default \
-                  --no-progress
-anvi-import-state -p $output_dir/SAMPLES-MERGED-WO-CLUSTERING/PROFILE.db \
-                  --state $files/example_state.json \
-                  --name default \
-                  --no-progress
-
-INFO "Exporting the state named 'default' from the merged profile"
-anvi-export-state -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                  --state default \
-                  -o $output_dir/SAMPLES-MERGED/default_state.json \
-                  --no-progress
-
-INFO "Splitting all bins in the CONCOCT collection stored in the merged profile"
-anvi-split -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-           -c $output_dir/CONTIGS.db \
-           -C CONCOCT \
-           -o $output_dir/CONCOCT_BINS_SPLIT \
-           --no-progress
-
-INFO "Splitting only Bin_1 from the merged profile"
-anvi-split -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-           -c $output_dir/CONTIGS.db \
-           -C CONCOCT \
-           -o $output_dir/CONCOCT_BINS_SPLIT_ONLY_BIN_1 \
-           --bin-id Bin_1 \
-           --no-progress
-
-INFO "Listing all collections and bins available in the merged profile"
-anvi-show-collections-and-bins -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                               --no-progress
-
-mkdir $output_dir/MCG_CLASSIFIER_OUTPUTS
-INFO "Running anvi-mcg-classifier on a single bin in a collection"
-anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                    -c $output_dir/CONTIGS.db \
-                    -O $output_dir/MCG_CLASSIFIER_OUTPUTS/MCG_Bin_1 \
-                    -C CONCOCT \
-                    -b Bin_1 \
-                    --no-progress
-
-INFO "Running anvi-mcg-classifier including only SAMPLE-01 and SAMPLE-02"
-anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                    -c $output_dir/CONTIGS.db \
-                    -O $output_dir/MCG_CLASSIFIER_OUTPUTS/MCG_INCLUDE \
-                    -C CONCOCT \
-                    -b Bin_1 \
-                    --include-samples $files/samples_to_include_for_mcg.txt \
-                    --no-progress
-
-INFO "Running anvi-mcg-classifier excluding SAMPLE-01"
-anvi-mcg-classifier -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                    -c $output_dir/CONTIGS.db \
-                    -O $output_dir/MCG_CLASSIFIER_OUTPUTS/MCG_EXCLUDE \
-                    -C CONCOCT \
-                    -b Bin_1 \
-                    --exclude-samples $files/samples_to_exclude_for_mcg.txt \
-                    --no-progress
-
-INFO "Acquiring mock external genome data"
-cp $files/mock_data_for_pangenomics/E_faecalis*.db $output_dir/
-cp $files/mock_data_for_pangenomics/external-genomes.txt $output_dir/
-cp $files/example_description.md $output_dir/
-
-INFO "Dereplicating genomes using pyANI"
-anvi-dereplicate-genomes -o $output_dir/DEREPLICATION_FROM_SCRATCH \
-                         -e $output_dir/external-genomes.txt \
-                         --similarity 0.99 \
-                         --program pyANI \
-                         --no-progress
-SHOW_FILE $output_dir/DEREPLICATION_FROM_SCRATCH/CLUSTER_REPORT.txt
-
-INFO "Computing genome similarity"
-anvi-compute-genome-similarity -e $output_dir/external-genomes.txt \
-                               -o $output_dir/GENOME_SIMILARITY_OUTPUT \
-                               --fragment-length 250 \
-                               --min-num-fragments 1 \
-                               --program pyANI \
-                               --no-progress
-SHOW_FILE $output_dir/GENOME_SIMILARITY_OUTPUT/ANIb_percentage_identity.txt
-
-INFO "Dereplicating genomes using an existing genome similarity analysis directory"
-anvi-dereplicate-genomes --ani-dir $output_dir/GENOME_SIMILARITY_OUTPUT \
-                         -o $output_dir/DEREPLICATION_FROM_PREVIOUS_RESULTS \
-                         --similarity 0.99 \
-                         --program pyANI \
-                         --no-progress
-SHOW_FILE $output_dir/DEREPLICATION_FROM_PREVIOUS_RESULTS/CLUSTER_REPORT.txt
-
-INFO "Generating an anvi'o genomes storage"
-anvi-gen-genomes-storage -e $output_dir/external-genomes.txt -o $output_dir/TEST-GENOMES.db
-
-INFO "Running the pangenome analysis with default parameters"
-anvi-pan-genome -g $output_dir/TEST-GENOMES.db \
-                -o $output_dir/TEST/ \
-                -n TEST \
-                --use-ncbi-blast \
-                --description $output_dir/example_description.md \
-                --no-progress
-
-INFO "Testing anvi-analyze-synteny with default parameters using a pangenome for annotations"
-anvi-analyze-synteny -g $output_dir/TEST-GENOMES.db \
-                     -p $output_dir/TEST/TEST-PAN.db \
-                     --ngram-window-range 2:3 \
-                     -o $output_dir/synteny_output_no_unknowns.tsv \
-                     --no-progress
-
-INFO "Testing anvi-analyze-synteny now including unannotated genes"
-anvi-analyze-synteny -g $output_dir/TEST-GENOMES.db \
-                     -p $output_dir/TEST/TEST-PAN.db \
-                     --ngram-window-range 2:3 \
-                     -o $output_dir/synteny_output_with_unknowns.tsv \
-                     --analyze-unknown-functions \
-                     --no-progress
-
-INFO "Testing anvi-analyze-synteny now including unannotated genes"
-anvi-analyze-synteny -g $output_dir/TEST-GENOMES.db \
-                     --annotation-source COG20_FUNCTION \
-                     --ngram-window-range 2:3 \
-                     -o $output_dir/synteny_output_with_COGs.tsv \
-                     --analyze-unknown-functions \
-                     --no-progress
-
-INFO 'A dry run with an items order file for the merged profile without any clustering'
-anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                 -c $output_dir/CONTIGS.db \
-                 --items-order $files/example_items_order_file.txt \
-                 --dry-run \
-                 --no-progress
-
-INFO "A dry run in 'gene-mode' to store gene-level coverage stats in a new genes database"
-rm -rf $output_dir/SAMPLES-MERGED/GENES/*
-anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                 -c $output_dir/CONTIGS.db \
-                 -C CONCOCT \
-                 -b Bin_1 \
-                 --gene-mode \
-                 --dry-run \
-                 --no-progress
-
-INFO "A dry run to fill in anvi'o dbs"
-curdir=`pwd`
-cd $output_dir
-anvi-display-pan --dry-run --no-progress
-cd $curdir
-
-INFO "Firing up the interactive interface to display the contigs db stats"
-anvi-display-contigs-stats $output_dir/CONTIGS.db \
-                           $dry_run_controller \
-                           --no-progress
-
-INFO "Firing up the interactive interface for merged samples"
-anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                 -c $output_dir/CONTIGS.db \
-                 -A $files/additional_view_data.txt \
-                 -t $output_dir/SAMPLES-MERGED/EXP-ORG-FILE.txt \
-                 -V $files/additional_view.txt \
-                 --split-hmm-layers \
-                 --no-progress \
-                 $dry_run_controller
-
-
-INFO "Firing up the interface to display the split bin, Bin_1"
-anvi-interactive -c $output_dir/CONCOCT_BINS_SPLIT/Bin_1/CONTIGS.db \
-                 -p $output_dir/CONCOCT_BINS_SPLIT/Bin_1/PROFILE.db \
-                 --title "Split bin, Bin_1" \
-                 --no-progress \
-                 $dry_run_controller
-
-
-INFO "Firing up the interactive interface with the blank profile"
-anvi-interactive -c $output_dir/CONTIGS.db \
-                 -p $output_dir/BLANK-PROFILE/PROFILE.db \
-                 --no-progress \
-                 $dry_run_controller
-
-
-INFO "Firing up the interactive interface in 'COLLECTION' mode"
-anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                 -c $output_dir/CONTIGS.db \
-                 -C CONCOCT \
-                 --no-progress \
-                 $dry_run_controller
-
-INFO "Firing up the interactive interface to refine a bin"
-anvi-refine -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-            -c $output_dir/CONTIGS.db \
-            -C CONCOCT \
-            -b Bin_1 \
-            --no-progress \
-            $dry_run_controller
-
-
-INFO "Importing items and layers additional data into the genes database for CONCOCT::Bin_1"
-anvi-import-misc-data -p $output_dir/SAMPLES-MERGED/GENES/CONCOCT-Bin_1.db \
-                     $files/items_addtl_data_gene_mode.txt \
-                     -t items \
-                     --no-progress
-anvi-import-misc-data -p $output_dir/SAMPLES-MERGED/GENES/CONCOCT-Bin_1.db \
-                     $files/layers_addtl_data_gene_mode.txt \
-                     -t layers \
-                     --no-progress
-
-INFO "Firing up the interactive interface in 'gene' mode"
-anvi-interactive -p $output_dir/SAMPLES-MERGED/PROFILE.db \
-                 -c $output_dir/CONTIGS.db \
-                 -C CONCOCT \
-                 -b Bin_1 \
-                 --gene-mode \
-                 --no-progress \
-                 $dry_run_controller

From 5702ffd3c50830cb3a290528a49aafe7da0d9928 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren (Meren)" <a.murat.eren@gmail.com>
Date: Tue, 9 Aug 2022 10:56:11 +0200
Subject: [PATCH 0768/1020] make component test for GW run again

---
 ...run_genome_view.sh => run_component_tests_for_genome_view.sh} | 0
 bin/anvi-self-test                                               | 1 +
 2 files changed, 1 insertion(+)
 rename anvio/tests/{run_genome_view.sh => run_component_tests_for_genome_view.sh} (100%)

diff --git a/anvio/tests/run_genome_view.sh b/anvio/tests/run_component_tests_for_genome_view.sh
similarity index 100%
rename from anvio/tests/run_genome_view.sh
rename to anvio/tests/run_component_tests_for_genome_view.sh
diff --git a/bin/anvi-self-test b/bin/anvi-self-test
index 671a9de58b..e98f1b4087 100755
--- a/bin/anvi-self-test
+++ b/bin/anvi-self-test
@@ -30,6 +30,7 @@ tests = {'mini'                  : ['run_component_tests_for_minimal_metagenomic
          'metagenomics-full'     : ['run_component_tests_for_metagenomics.sh'],
          'pangenomics'           : ['run_component_tests_for_pangenomics.sh'],
          'interactive-interface' : ['run_component_tests_for_manual_interactive.sh'],
+         'genome-view'           : ['run_component_tests_for_genome_view.sh'],
          'metabolism'            : ['run_component_tests_for_metabolism.sh'],
          'display-functions'     : ['run_component_tests_for_display_functions.sh'],
          'trnaseq'               : ['run_component_tests_for_trnaseq.sh'],

From 834eab3f60ba07d2394570b6d419183770e112ac Mon Sep 17 00:00:00 2001
From: "A. Murat Eren (Meren)" <a.murat.eren@gmail.com>
Date: Tue, 9 Aug 2022 11:00:57 +0200
Subject: [PATCH 0769/1020] genome-view db version in tables/__init__

---
 anvio/tables/__init__.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/anvio/tables/__init__.py b/anvio/tables/__init__.py
index c11cc54bf5..0200a94276 100644
--- a/anvio/tables/__init__.py
+++ b/anvio/tables/__init__.py
@@ -24,6 +24,7 @@
 trnaseq_db_version = "2"
 workflow_config_version = "3"
 metabolic_modules_db_version = "4"
+genome_view_db_version = "1"
 
 versions_for_db_types = {'contigs': contigs_db_version,
                          'profile': profile_db_version,
@@ -31,6 +32,7 @@
                          'structure': structure_db_version,
                          'pan': pan_db_version,
                          'genomestorage': genomes_storage_vesion,
+                         'genome-view': genome_view_db_version,
                          'auxiliary data for coverages': auxiliary_data_version,
                          'trnaseq': trnaseq_db_version,
                          'config': workflow_config_version,

From ab5c511b9dd752c38e3939469a2bcc825ce91593 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren (Meren)" <a.murat.eren@gmail.com>
Date: Tue, 9 Aug 2022 11:07:07 +0200
Subject: [PATCH 0770/1020] -= rogue param

---
 anvio/tests/run_component_tests_for_genome_view.sh | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/tests/run_component_tests_for_genome_view.sh b/anvio/tests/run_component_tests_for_genome_view.sh
index ff18fec248..2783afa68b 100755
--- a/anvio/tests/run_component_tests_for_genome_view.sh
+++ b/anvio/tests/run_component_tests_for_genome_view.sh
@@ -11,7 +11,6 @@ cp $files/mock_data_for_pangenomics/*.db $output_dir
 
 INFO "Generating an external genomes file for DBs"
 anvi-script-gen-genomes-file --input-dir $output_dir \
-                             --name-prefix G0 \
                              -o $output_dir/external-genomes.txt
 
 INFO "Running genome view"

From 4b3d4205fda8128c9ad3944710233454609ce51a Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 12 Aug 2022 00:12:35 -0700
Subject: [PATCH 0771/1020] remove regressions in  folder

---
 anvio/data/interactive/css/main.css      |  3 +-
 anvio/data/interactive/index.html        | 50 ++++++++++++----------
 anvio/data/interactive/js/news.js        | 53 ++++++++++++++----------
 anvio/data/interactive/js/svg-helpers.js |  9 ++--
 anvio/tables/states.py                   |  3 +-
 5 files changed, 67 insertions(+), 51 deletions(-)

diff --git a/anvio/data/interactive/css/main.css b/anvio/data/interactive/css/main.css
index 7d10e622cc..c7b869eaf9 100644
--- a/anvio/data/interactive/css/main.css
+++ b/anvio/data/interactive/css/main.css
@@ -167,7 +167,8 @@ html, body, #wrapper {
     display: block;
     position: relative;
     border: 1px solid lightgray;
-    background-color: white;
+    border-radius: 5px;
+    background-color: #f9f9f9;
     width: 100%;
     padding: 8px;
     font-size: 12px;
diff --git a/anvio/data/interactive/index.html b/anvio/data/interactive/index.html
index 737b3171f4..8d8fe5a8a0 100644
--- a/anvio/data/interactive/index.html
+++ b/anvio/data/interactive/index.html
@@ -10,17 +10,18 @@
     <meta http-equiv="expires" content="Tue, 01 Jan 1980 1:00:00 GMT" />
     <meta http-equiv="pragma" content="no-cache" />
     <meta name="google" value="notranslate">
+    <link rel="stylesheet" href="lib/colpick/colpick.css" type="text/css" />
+    <link rel="stylesheet" href="lib/toastr/build/toastr.min.css" type="text/css" />
     <link rel="icon" type="image/png" href="images/logo-simple.png">
     <script type="text/javascript" src="js/error.js"></script>
 
-    <link rel="stylesheet" href="lib/colpick/colpick.css" type="text/css" />
-    <link rel="stylesheet" href="lib/toastr/build/toastr.min.css" type="text/css" />
+    <script type="text/javascript" src="lib/jquery/dist/jquery.min.js" onerror='alertDependencyError("jquery-core")'></script>
     <link href="lib/jquery-ui/themes/base/all.css" rel="stylesheet">
     <link rel="stylesheet" href="lib/bootstrap/dist/css/bootstrap.min.css" />
+    <script type="text/javascript" src="lib/bootstrap/dist/js/bootstrap.min.js" onerror='alertDependencyError("bootstrap-core")'></script>
     <link rel="stylesheet" href="css/main.css" type="text/css" />
 
-    <script type="text/javascript" src="lib/jquery/dist/jquery.min.js" onerror='alertDependencyError("jquery-core")'></script>
-    <script type="text/javascript" src="lib/bootstrap/dist/js/bootstrap.min.js" onerror='alertDependencyError("bootstrap-core")'></script>
+
     <script type="text/javascript" src="lib/jquery-svgpan/jquery-svgpan.js" onerror='alertDependencyError("jquery-svg")'></script>
     <script type="text/javascript" src="lib/jquery-ui/ui/core.js" onerror='alertDependencyError("jquery-core")'></script>
     <script type="text/javascript" src="lib/jquery-ui/ui/widget.js" onerror='alertDependencyError("jquery-widget")'></script>
@@ -105,10 +106,6 @@
                 <span id="toggle-panel-right-2-inner">&#9664;</span><span style="display: block; font-size: 11px; transform: rotate(90deg);">DESCRIPTIO<u>N</u></span>
         </div>
 
-        <div id="toggle-panel-right-3" onclick="toggleRightPanel('#news-panel');">
-                <span id="toggle-panel-right-3-inner">&#9664;</span><span style="display: block; font-size: 11px; transform: rotate(90deg);">NE<u>W</u>S</span>
-        </div>
-
         <div id="panel-center">
             <svg id="svg" xmlns="http://www.w3.org/2000/svg" version="1.1">
                 <g id="viewport"></g>
@@ -136,6 +133,7 @@
                         <ul class="dropdown-menu multi-level" role="menu">
                           <li><a href="https://github.com/merenlab/anvio/blob/master/AUTHORS.txt">Anvi'o authors</a></li>
                           <li><a href="http://merenlab.org/projects/anvio/">Anvi'o project page</a></li>
+                          <li><a href='#' onclick="showAllNews()">Anvi'o news</a></li>
                           <li><a href="http://merenlab.org/2019/10/07/getting-help/">Getting help</a></li>
                           <li><a href="https://github.com/meren/anvio/issues">Browse known issues / Report an issue</a></li>
                           <li><a href="http://merenlab.org/people/">Contact us</a></li>
@@ -340,7 +338,7 @@
                                         <Label class="col-md-4 settings-label" for="show_shade_for_bins" data-help="show-shade">Show shade: </Label>
                                         <div class="col-md-8">
                                             <input type="checkbox" id="show_shade_for_bins" name="checkbox" value="value" onchange="emit('bin-settings-changed'); if (this.checked) { $('.shade_details').show();} else { $('.shade_details').hide(); }" checked>
-                                            <span class="shade_details" style="display: float; margin-left:5px; float-left;">Shade opacity:
+                                            <span class="shade_details" style="display: float; margin-left:5px; float-left;">Shade opacity:        
                                                 <input type="number" min="0.0" max="1.0" step='0.1' value="0.1" id="shade_fill_opacity" name="checkbox" onchange="emit('bin-settings-changed')">
                                             </span>
                                         </div>
@@ -350,9 +348,9 @@
                                     <div class="col-md-8">
                                         <input type="checkbox" id="invert_shade_for_bins" name="checkbox" value="value" onchange="emit('bin-settings-changed'); if (this.checked) { $('.inverse_details, #inverse_color').show(); } else { $('.inverse_details, #inverse_color').hide(); }" style="float: left;" unchecked>
                                         <div id="inverse_color"onchange="emit('bin-settings-changed')" style="display: none !important; margin-left: 5px;" class="colorpicker" style="background-color: #000" color="#000"></div>
-                                        <span class="inverse_details" style="display: float; margin-left:5px; float-left;">Opacity:
+                                        <span class="inverse_details" style="display: float; margin-left:5px; float-left;">Opacity:        
                                             <input type="number" min="0.0" max="1.0" step='0.1' value="0.1" id="inverse_fill_opacity" name="checkbox" onchange="emit('bin-settings-changed')">
-                                        </span>
+                                        </span> 
                                     </div>
                                 </div>
                                 <div class="form-group form-margin">
@@ -897,16 +895,6 @@ <h4 style="padding-top: 10px; border-top: 1px #AAA solid;">Select all layers in
     <div id="description-panel">
         <textarea id="description-editor" rows="10"></textarea>
     </div>
-
-    <div id="news-panel">
-        <h1 style="font-size: 22px; display: inline-block;">What's New</h1>
-	<div id="news-mark-read">
-	    <p style="border: 1px dashed #b8b8b8; background: #f0f8ff2e; border-radius: 4px; padding: 6px;">
-                <a href="#" style="font-weight: bold; color: red;" onclick="newsMarkRead();">Mark everything as read</a> to make the annoying news button stop blinking red.
-            </p>
-        </div>
-        <div id="news-panel-inner"></div>
-    </div>
     <!-- DIALOGS SECTION -->
 
     <!-- LOAD STATE -->
@@ -960,6 +948,26 @@ <h4 class="modal-title">Save State</h4>
             </div>
         </div>
     </div>
+    <!-- NEWS MODAL -->
+    <div class="modal fade" id="modNewsBadger">
+        <div class="modal-dialog">
+            <div class="modal-content">
+                <div class="modal-header" style="padding-bottom: 0px;">
+                    <button class="close" data-dismiss="modal" type="button"><span>&times;</span></button>
+                    <h4 class="modal-title">📰 The Anvi'o News Network</h4>
+                    <p style="padding: 10px 10px 0px 10px;">Click the button below to mark all news as read to not see this window again until there is a new news for you from the anvi'o developers 😇</p>
+                </div>
+                <div class="modal-body">
+                    <div id='modNewsBadger-inner'></div>
+                </div>
+
+                <div class="modal-footer">
+                    <button class="btn btn-default" type='button' onclick='newsMarkRead()'>Mark all news as read</button>
+                    <button class="btn btn-default" data-dismiss="modal" type="button">Close</button>
+                </div>
+            </div>
+        </div>
+    </div>
 
     <!-- GENERATE SUMMARY -->
     <div class="modal fade" id="modGenerateSummary">
diff --git a/anvio/data/interactive/js/news.js b/anvio/data/interactive/js/news.js
index a8e15f9bdf..2ae427122f 100644
--- a/anvio/data/interactive/js/news.js
+++ b/anvio/data/interactive/js/news.js
@@ -22,9 +22,7 @@ $(document).ready(function() {
     checkNews();
 });
 
-function checkNews() {
-    $('#news-panel-inner').empty();
-
+function checkNews() { // only render unread news items
     $.ajax({
         type: 'GET',
         cache: false,
@@ -34,42 +32,51 @@ function checkNews() {
             var hash_found = false;
             var unread_count = 0;
 
+            // let test_news_item = {
+            //     content: 'beep boop',
+            //     date: '15.11.2021',
+            //     title : 'this is my test news'
+            // }
+            // news.unshift(test_news_item)
+
             for (var i=0; i < news.length; i++) {
                 var news_item = news[i];
                 if (hash_found || last_seen_hash == md5(news_item['title'])) {
                     hash_found = true;
                 } else {
                     unread_count++;
+                    $('#modNewsBadger-inner').append('<div class="news-item"> \
+                                                  <h1>' + ((hash_found) ? '' : '<span class="blue-dot">') + '</span>'+news_item['title']+'</h1> \
+                                                  <span class="news-date">'+news_item['date']+'</span>'+renderMarkdown(news_item['content'])+'</div>')
                 }
-                $('#news-panel-inner').append('<div class="news-item"> \
-                                              <h1>' + ((hash_found) ? '' : '<span class="blue-dot">') + '</span>'+news_item['title']+'</h1> \
-                                              <span class="news-date">'+news_item['date']+'</span>'+renderMarkdown(news_item['content'])+'</div>')
             }
-
             if (unread_count > 0) {
-                $('#toggle-panel-right-3').css('color', '#FF0000');
-                $('#toggle-panel-right-3').addClass('fading-button');
+                $('#modNewsBadger').modal('show')
+            }
+        }
+    });
+}
 
-		$('#toggle-panel-right-3').mouseover(function() {
-			if(!$('#news-panel').is(':visible')) {
-				$(this).addClass('toggle-panel-right-pos-3');
-                		toggleRightPanel('#news-panel');
-                		$('#toggle-panel-right-3-inner').html('&#9658;');
-                	}
-		});
-            } else {
-		// remove upon starting interface in case 'last-seen-hash' cookie is not cleared
-	    	$('#news-mark-read').remove();
+function showAllNews(){ // render all news items regardless of cookie content - called from interactive hamburger dropdown.
+    $('#modNewsBadger-inner').empty()
+    console.log('got here')
+    $.ajax({
+        type: 'GET',
+        cache: false,
+        url: '/data/news',
+        success: function(news) {
+            for (var i=0; i < news.length; i++) {
+                var news_item = news[i];
+                $('#modNewsBadger-inner').append('<div class="news-item"> \
+                                              <h1>' + '</span>'+news_item['title']+'</h1> \
+                                              <span class="news-date">'+news_item['date']+'</span>'+renderMarkdown(news_item['content'])+'</div>')
             }
+            $('#modNewsBadger').modal('show')
         }
     });
 }
 
 function newsMarkRead() {
     $('.blue-dot').remove();
-    $('#toggle-panel-right-3').css('color', '#000000');
-    $('#toggle-panel-right-3').removeClass('fading-button');
-    $('#news-mark-read').remove();
-    $('#toggle-panel-right-3').off('mouseover');
     createCookie('last_seen_hash', md5($('.news-item > h1')[0].textContent), -1);
 }
diff --git a/anvio/data/interactive/js/svg-helpers.js b/anvio/data/interactive/js/svg-helpers.js
index 710a4e4ab4..b5d1612001 100644
--- a/anvio/data/interactive/js/svg-helpers.js
+++ b/anvio/data/interactive/js/svg-helpers.js
@@ -6,7 +6,7 @@
  *           A. Murat Eren <a.murat.eren@gmail.com>
  *
  * Copyright 2015-2021, The anvi'o project (http://anvio.org)
-
+ *
  * Anvi'o is a free software. You can redistribute this program
  * and/or modify it under the terms of the GNU General Public
  * License as published by the Free Software Foundation, either
@@ -278,9 +278,11 @@ function drawSupportValue(svg_id, p, p0, p1, supportValueData) {
         let circle = document.createElementNS('http://www.w3.org/2000/svg', 'circle')
         let radius
         let maxRadius = supportValueData.maxRadius
+        let rangeLow = parseFloat(supportValueData.numberRange[0])
+        let rangeHigh = parseFloat(supportValueData.numberRange[1])
 
         function calculatePercentile(){ // calculate percentile of data point in range
-            return (p.branch_support - parseInt(supportValueData.numberRange[0])) / (parseInt(supportValueData.numberRange[1]) - parseInt(supportValueData.numberRange[0]))
+            return (p.branch_support - rangeLow) / (rangeHigh - rangeLow)
         }
 
         function setDetails(percentile){
@@ -296,7 +298,6 @@ function drawSupportValue(svg_id, p, p0, p1, supportValueData) {
 
         function makeCircle(){ // time to make the gravy
             setDetails(calculatePercentile())
-            console.log(calculatePercentile())
 
             circle.setAttribute('cx', p.xy.x)
             circle.setAttribute('cy', p.xy.y)
@@ -439,7 +440,7 @@ function drawRotatedText(svg_id, p, string, angle, align, font_size, font_family
     text.appendChild(textNode);
     var svg = document.getElementById(svg_id);
     svg.appendChild(text);
-    
+
     // trim long text
 
     if (maxLength > 0)
diff --git a/anvio/tables/states.py b/anvio/tables/states.py
index 3262ad3180..a84308fe78 100644
--- a/anvio/tables/states.py
+++ b/anvio/tables/states.py
@@ -34,8 +34,7 @@ def __init__(self, db_path):
         self.states = {}
 
         if utils.get_db_type(self.db_path) not in ['profile', 'pan', 'structure', 'genes', 'genome-view']:
-            raise ConfigError(f"Your database at {self.db_path} has a type that does not seem to be compatible "
-                              f"with `TablesForStates` class. You better be working with a new database type :(")
+            raise ConfigError("Your database '%s' does not seem to have states table, which anvi'o tries to access.")
 
         Table.__init__(self, self.db_path, utils.get_required_version_for_db(db_path), run, progress)
 

From 406eb3be6acc6e21446a9c5479264a2ce3da9a09 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 12 Aug 2022 00:23:39 -0700
Subject: [PATCH 0772/1020] more

---
 anvio/data/interactive/js/bin.js          | 16 ++++++++++++----
 anvio/data/interactive/js/color-coding.js |  2 ++
 anvio/data/interactive/js/main.js         | 17 ++++++++++-------
 3 files changed, 24 insertions(+), 11 deletions(-)

diff --git a/anvio/data/interactive/js/bin.js b/anvio/data/interactive/js/bin.js
index ac2a69db59..63793ac59e 100644
--- a/anvio/data/interactive/js/bin.js
+++ b/anvio/data/interactive/js/bin.js
@@ -4,6 +4,7 @@
  *  Authors: Özcan Esen <ozcanesen@gmail.com>
  *           A. Murat Eren <a. murat.eren@gmail.com>
  *
+ *
  *  Copyright 2015-2021, The anvi'o project (http://anvio.org)
  *
  * Anvi'o is a free software. You can redistribute this program
@@ -654,9 +655,13 @@ Bins.prototype.MigrateCollection = function() {
     // we need to migrate exist collection and bind them to newly created objects.
 
     let collection = this.ExportCollection(use_bin_id=true);
-
-    for (let bin_id of Object.keys(collection['data']).sort()) {
-        this.selections[bin_id] = new Set(collection['data'][bin_id].map((node_label) => drawer.tree.GetLeafByName(node_label)));
+    if (collection){
+        for (let bin_id of Object.keys(collection?.['data']).sort() || undefined) {
+            if (typeof bin_id === undefined){
+                return
+            }
+            this.selections[bin_id] = new Set(collection['data'][bin_id].map((node_label) => drawer.tree.GetLeafByName(node_label)));
+        }
     }
 }
 
@@ -724,6 +729,7 @@ Bins.prototype.ExportCollection = function(use_bin_id=false) {
         let items = [];
 
         for (let node of this.selections[bin_id].values()) {
+            if (node === null) return;
             if (node.IsLeaf()) {
                 items.push(node.label);
             }
@@ -797,6 +803,7 @@ Bins.prototype.RedrawLineColors = function() {
         if (this.selections[bin_id].size) {
             let bin_color = this.GetBinColor(bin_id);
             for (let node of this.selections[bin_id].values()) {
+                if (node === null) return;
                 node.SetColor(bin_color);
             }
         }
@@ -807,7 +814,6 @@ Bins.prototype.DrawInvertedNodes = function(leaf_list, rect_width){
 
     var inverse_fill_opacity = $('#inverse_fill_opacity').val();
     var inverse_color = document.getElementById('inverse_color').getAttribute('color');
-
     let nodes_for_inversion = []
     let calculatedRectX = 0
 
@@ -888,6 +894,7 @@ Bins.prototype.RedrawBins = function() {
 
     for (let bin_id in this.selections) {
         for (let node of this.selections[bin_id].values()) {
+            if (node === null) return;
             if (typeof node === 'undefined')
             {
                 this.selections[bin_id].delete(node);
@@ -1158,6 +1165,7 @@ Bins.prototype.RebuildIntersections = function() {
             removed = false;
 
             for (let node of this.selections[bin_id].values()) {
+                if (node === null) return;
                 if (node.IsLeaf()) {
                     continue;
                 }
diff --git a/anvio/data/interactive/js/color-coding.js b/anvio/data/interactive/js/color-coding.js
index e353ec06de..2f589ed12d 100644
--- a/anvio/data/interactive/js/color-coding.js
+++ b/anvio/data/interactive/js/color-coding.js
@@ -5,6 +5,8 @@
  *
  *  Copyright 2018-2021, The anvi'o project (http://anvio.org)
  *
+ * This file is part of anvi'o (<https://github.com/meren/anvio>).
+ *
  * Anvi'o is a free software. You can redistribute this program
  * and/or modify it under the terms of the GNU General Public
  * License as published by the Free Software Foundation, either
diff --git a/anvio/data/interactive/js/main.js b/anvio/data/interactive/js/main.js
index 881e5d8c14..f14da0c3de 100644
--- a/anvio/data/interactive/js/main.js
+++ b/anvio/data/interactive/js/main.js
@@ -64,6 +64,7 @@ var layer_order;
 var sample_names;
 
 var current_state_name = "";
+var a_default_state_is_found = false;
 
 var collapsedNodes = [];
 
@@ -214,6 +215,9 @@ function initData() {
             switchUserInterfaceMode(response.project, response.title);
             setupDescriptionPanel(response.description);
 
+            if (response.state[0] && response.state[0] == 'default')
+                a_default_state_is_found = true;
+
             document.title = response.title;
             $('#title-panel-first-line').text(response.title);
 
@@ -254,7 +258,6 @@ function initData() {
 
             loadOrderingAdditionalData(default_order);
 
-
             var default_view = response.views[0];
             var available_views = response.views[2];
             $('#views_container').append(getComboBoxContent(default_view, available_views));
@@ -1298,12 +1301,12 @@ function buildLayersTable(order, settings)
                         if (_unique_items.indexOf(layerdata[_pos][layer_id]) === -1)
                             _unique_items.push(layerdata[_pos][layer_id]);
 
-                        if (_unique_items.length > 20) {
-                            toastr.info("Too many categorical values for the layer '" + layer_name + "' to be shown in colors, switching to text.");
+                        if (_unique_items.length > 250 && !a_default_state_is_found) {
+                            toastr.warning("The layer '" + layer_name + "' has TOO MANY unique categorical values " +
+                                           "to be shown as colors (precisely " + _unique_items.length + " of them) :/ " +
+                                           "So, anvi'o set the `height` value of this layer to 0. You can change it " +
+                                           "from the 'Main' panel, and tame your colors through the 'Legends' panel.");
                             height = '0';
-                            type = 'text';
-                            // we have at least one text layer, we can show max font size input
-                            $('.max-font-size-input').show();
                             break;
                         }
                     }
@@ -2745,7 +2748,7 @@ function processState(state_name, state) {
     }
 
     if (state.hasOwnProperty('begins-from-branch')) {
-        $('#begins_from_branch').val(state['begins-from-branch'])
+        $('#begins_from_branch').prop('checked', state['begins-from-branch'])
     }
 
     // bootstrap values

From 6284d5d5def5e7174e44d6c5164f5564153f1636 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 12 Aug 2022 00:23:55 -0700
Subject: [PATCH 0773/1020] reintroduce COG and KEGG constants

---
 anvio/data/interactive/js/constants.js | 41 ++++++++++++++++++++++++++
 1 file changed, 41 insertions(+)

diff --git a/anvio/data/interactive/js/constants.js b/anvio/data/interactive/js/constants.js
index 6f1667ebff..3f966e95f3 100644
--- a/anvio/data/interactive/js/constants.js
+++ b/anvio/data/interactive/js/constants.js
@@ -18,6 +18,47 @@
  * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
  */
 
+ var COG_categories = {
+     'A': '[A] RNA processing and modification',
+     'B': '[B] Chromatin Structure and dynamics',
+     'C': '[C] Energy production and conversion',
+     'D': '[D] Cell cycle control and mitosis',
+     'E': '[E] Amino Acid metabolism and transport',
+     'F': '[F] Nucleotide metabolism and transport',
+     'G': '[G] Carbohydrate metabolism and transport',
+     'H': '[H] Coenzyme metabolis',
+     'I': '[I] Lipid metabolism',
+     'J': '[J] Translation',
+     'K': '[K] Transcription',
+     'L': '[L] Replication and repair',
+     'M': '[M] Cell wall/membrane/envelop biogenesis',
+     'N': '[N] Cell motility',
+     'O': '[O] Post-translational modification, protein turnover, chaperone functions',
+     'P': '[P] Inorganic ion transport and metabolism',
+     'Q': '[Q] Secondary Structure',
+     'T': '[T] Signal Transduction',
+     'U': '[U] Intracellular trafficing and secretion',
+     'V': '[V] Defense mechanisms',
+     'W': '[W] Extracellular structures',
+     'Y': '[Y] Nuclear structure',
+     'Z': '[Z] Cytoskeleton',
+     'R': '[R] General Functional Prediction only',
+     'S': '[S] Function Unknown'
+ }
+
+ var KEGG_categories = {
+  'C': 'Carbohydrate metabolism',
+  'E': 'Energy metabolism',
+  'L': 'Lipid metabolism',
+  'N': 'Nucleotide metabolism',
+  'A': 'Amino acid metabolism',
+  'G': 'Glycan biosynthesis and metabolism',
+  'V': 'Metabolism of cofactors and vitamins',
+  'T': 'Metabolism of terpenoids and polyketides',
+  'S': 'Biosynthesis of other secondary metabolites',
+  'X': 'Xenobiotics biodegradation and metabolism'
+}
+
 var default_COG_colors = {
   'A': '#98d67c',
   'B': '#446af3',

From fce8776d3948e5268cda2e0863bed9e57cc7e1ed Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Tue, 28 Dec 2021 22:48:57 +0100
Subject: [PATCH 0774/1020] show the amino acids properly for reverse genes

we have been showing the amino acid sequences in anvi'o inspect page
wrong for genes that are in reverse direction. this commit fixes that.
---
 anvio/data/interactive/js/charts.js | 32 ++++++++++++++++++++++++-----
 1 file changed, 27 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index 13cea46da8..8dfc4a8cd3 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -162,6 +162,19 @@ function loadAll() {
                 total = contig_data.total;
                 genes = contig_data.genes;
 
+                // if the gene is in reverse direction, we here we will add
+                // a reversed copy of the amino acid sequence so we can show
+                // residuies in the right order when the user zooms in, but
+                // still return the correct amino acid sequence when they want
+                // to copy it through the interface.
+                for(gene_entry_id in genes){
+                    if(genes[gene_entry_id].call_type == 1 && typeof genes[gene_entry_id].aa_sequence != "undefined"){
+                        if(genes[gene_entry_id].direction == "r") {
+                            genes[gene_entry_id].aa_sequence_to_display = genes[gene_entry_id].aa_sequence.split('').reverse().join('');
+                        }
+                    }
+                }
+
                 if(layers.length == 0){
                     console.log('Warning: no layers returned')
                 }
@@ -954,13 +967,22 @@ function display_nucleotides() {
         offset_y = offset_y == 0 ? 5+dna_seq_height : 0;
         overlapping_genes = true;
       }
+
       if(gene.call_type == 1 && typeof gene.aa_sequence != "undefined") {
-        var aas_in_window = gene.aa_sequence.substring(aa_i, aa_f);
-        aa_string += "\xa0" + aas_in_window.split('').join('\xa0\xa0') + "\xa0";
-        if(aa_f == gene.aa_sequence.length+1) {
-          aa_string += "STP";
-          aas_in_window += "\xa0";
+        var aas_in_window = null
+
+        // determine in which order amino acids are shown based on the direction
+        // of the gene:
+        if(gene.direction == "r") {
+            aas_in_window = gene.aa_sequence_to_display.substring(aa_i, aa_f);
+            aa_string += "STP\xa0" + aas_in_window.split('').join('\xa0\xa0') + "\xa0";
+        } else {
+            aas_in_window = gene.aa_sequence.substring(aa_i, aa_f);
+            aa_string += "\xa0" + aas_in_window.split('').join('\xa0\xa0') + "\xa0STP";
         }
+
+        aas_in_window += "\xa0";
+
         for(var i = 0; i < aas_in_window.length; i++) {
           aa_sequence.append("rect")
                      .attr("id", "AA_" + i)

From 5c2fd63ecda47499c47003af6cd11a2dccf2c4d7 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Oct 2021 20:36:02 +0000
Subject: [PATCH 0775/1020] fix-y-scale unchecked by default

---
 anvio/data/interactive/js/charts.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index 8dfc4a8cd3..d87e3e384a 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -232,7 +232,7 @@ function loadAll() {
                 indels_enabled = maxCountOverCoverage != 0;
                 if(!indels_enabled || state['show_indels'] == null) state['show_indels'] = indels_enabled;
                 state['snv_scale_bottom'] = state['snv_scale_dir_up'] = state['snvs_enabled'] || indels_enabled;
-                if(state['fixed-y-scale'] == null) state['fixed-y-scale'] = true;
+                if(state['fixed-y-scale'] == null) state['fixed-y-scale'] = false;
 
                 // adjust menu options
                 if(!indels_enabled && (!state['snvs_enabled'] || maxVariability==0)) {

From c30653664b10a062f8c863466531e06af47c9c18 Mon Sep 17 00:00:00 2001
From: Matthew Klein <mtt.l.kln@gmail.com>
Date: Tue, 19 Oct 2021 21:45:34 +0000
Subject: [PATCH 0776/1020] load just-saved state into current session, update
 UI on processState call

---
 anvio/data/interactive/js/charts.js | 51 ++++++++++++++++++++++-------
 1 file changed, 40 insertions(+), 11 deletions(-)

diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index d87e3e384a..180f81525a 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -304,12 +304,26 @@ function loadAll() {
                     $("div.indels-disabled").fadeIn(300);
                   }
                 }
+                if(state.hasOwnProperty('show_snvs')){
+                  $('#toggle_snv_box').attr("checked", state['show_snvs']);
+                }
+
+                if(state.hasOwnProperty('show_indels')){
+                  $('#toggle_indel_box').attr("checked", state['show_indels']);
+                }
+
+                if(state.hasOwnProperty('snv_scale_bottom')){
+                  $("#snv_scale_box").attr("checked", state['snv_scale_bottom']);
+                }
+
+                if(state.hasOwnProperty('snv_scale_dir_up')){
+                  $("#scale_dir_box").attr("checked", state['snv_scale_dir_up']);
+                }
+
+                if(state.hasOwnProperty('fixed-y-scale')){
+                  $('#fixed_ys_box').attr("checked", state['fixed-y-scale']);
+                }
 
-                if(state['show_snvs']) $('#toggle_snv_box').attr("checked", "checked");
-                if(state['show_indels']) $('#toggle_indel_box').attr("checked", "checked");
-                if(state['snv_scale_bottom']) $("#snv_scale_box").attr("checked", "checked");
-                if(state['snv_scale_dir_up']) $("#scale_dir_box").attr("checked", "checked");
-                if(state['fixed-y-scale']) $('#fixed_ys_box').attr("checked", "checked");
                 $('#toggle_highlight_box').attr("checked", "checked");
                 $('#toggle_nucl_box').attr("checked", "checked");
 
@@ -1423,6 +1437,8 @@ function saveState()
 
                 current_state_name = name;
                 toastr.success("State '" + current_state_name + "' successfully saved.");
+                toastr.info("Now loading saved state '" + current_state_name + "' into current session.");
+                processState(current_state_name, serializeSettings())
             }
         }
     });
@@ -1466,12 +1482,25 @@ function processState(state_name, state) {
       //$('#minIndelInput').val(0);
     }
 
-    state['show_highlights'] = $('#toggle_highlight_box').val() == "on";
-    state['show_snvs'] = $('#toggle_snv_box').val() == "on";
-    state['show_indels'] = $('#toggle_indel_box').val() == "on";
-    state['snv_scale_bottom'] = $('#snv_scale_box').val() == "on";
-    state['snv_scale_dir_up'] = $('#scale_dir_box').val() == "on";
-    state['fixed-y-scale'] = $('#fixed_ys_box').val() == "on";
+    if(state.hasOwnProperty('show_snvs')){
+      $('#toggle_snv_box').attr("checked", state['show_snvs']);
+    }
+
+    if(state.hasOwnProperty('show_indels')){
+      $('#toggle_indel_box').attr("checked", state['show_indels']);
+    }
+
+    if(state.hasOwnProperty('snv_scale_bottom')){
+      $("#snv_scale_box").attr("checked", state['snv_scale_bottom']);
+    }
+
+    if(state.hasOwnProperty('snv_scale_dir_up')){
+      $("#scale_dir_box").attr("checked", state['snv_scale_dir_up']);
+    }
+
+    if(state.hasOwnProperty('fixed-y-scale')){
+      $('#fixed_ys_box').attr("checked", state['fixed-y-scale']);
+    }
 
     state['state-name'] = current_state_name = state_name;
 

From 5a070b8eadcfe5305ce3ef5f78262f92f596c811 Mon Sep 17 00:00:00 2001
From: "A. Murat Eren" <a.murat.eren@gmail.com>
Date: Mon, 8 Nov 2021 06:46:22 -0600
Subject: [PATCH 0777/1020] very annoying bug in the inspect page

---
 anvio/data/interactive/js/charts.js | 27 +++++++++++++++++++--------
 1 file changed, 19 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/charts.js b/anvio/data/interactive/js/charts.js
index 180f81525a..fd37cbf0ee 100644
--- a/anvio/data/interactive/js/charts.js
+++ b/anvio/data/interactive/js/charts.js
@@ -337,14 +337,25 @@ function loadAll() {
                           cache: false,
                           url: '/state/get/' + state['state-name'],
                           success: function(response) {
-                              try{
-                                  clusteringData = response[1]['data'];
-                                  info("Loading ordering data");
-                                  loadOrderingAdditionalData(response[1]);
-
-                                  info("Processing state data from the server");
-                                  processState(state['state-name'], response[0]);
-                              }catch(e){
+                              try {
+                                  if(!response){
+                                      // FIXME: This means we are likely in stand-alone mode where the inspection page
+                                      // is called via `anvi-inspect` and without going through the main interface.
+                                      // In this case there is no state, and no other data to be read from, and we
+                                      // fail to show SNVs and INDELs even when they are there, which is not the best
+                                      // behavior here. leaving this here so we remember:
+                                      toastr.error("You probably are here via `anvi-inspect`, and due to some technical issues, "
+                                                   + "the interface is being initialized without any SNV or INDEL data :/ Anvi'o "
+                                                   + "developers apologize for this shortcoming.");
+                                  } else {
+                                      clusteringData = response[1]['data'];
+                                      info("Loading ordering data");
+                                      loadOrderingAdditionalData(response[1]);
+
+                                      info("Processing state data from the server");
+                                      processState(state['state-name'], response[0]);
+                                  }
+                              } catch(e) {
                                   console.error("Exception thrown", e.stack);
                                   toastr.error('Failed to parse state data, ' + e);
                                   defer.reject();

From 335672b71b10be989dffef792137f3cdff3c8471 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 13 Aug 2022 17:38:44 -0700
Subject: [PATCH 0778/1020] remove framework for batch coloring on inspect page

this fixes a bug that blocks the user from clicking anywhere after clicking the "Save State" button...will have to find a way to reintegrate this code in a way that doesn't cause issues
---
 anvio/data/interactive/charts.html | 14 --------------
 1 file changed, 14 deletions(-)

diff --git a/anvio/data/interactive/charts.html b/anvio/data/interactive/charts.html
index 5265040b30..103d70e427 100644
--- a/anvio/data/interactive/charts.html
+++ b/anvio/data/interactive/charts.html
@@ -216,20 +216,6 @@ <h3 class="modal-title" style="color: black;"><b>Search items</b></h3>
                     </div>
                   </div>
 
-                  <tbody>
-                      <tr>
-                        <td style="margin-bottom: 10px;">Filter:</td>
-                        <td><input type="text" class="form-control input-sm" id="thresh_count" value="1" style="margin-bottom: 10px;"></td>
-                      </tr>
-                  </tbody>
-                  <div class="ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content-active" id="ui-id-2" aria-labelledby="ui-id-1" role="tabpanel" style="display: block;" aria-hidden="false">Sort: <div class="btn-group" role="group">
-                  <button type="button" class="btn btn-default" onclick="orderColorTable('alphabetical');"><span class="glyphicon glyphicon-sort-by-alphabet"></span> Alphabetical</button>
-                  <button type="button" class="btn btn-default" onclick="orderColorTable('count');"><span class="glyphicon glyphicon-sort-by-order-alt"></span> Count</button>
-                  </div>
-                  <div class="btn-group" role="group">
-                      <button type="button" class="btn btn-default" style="margin-left: 10px;" onclick="console.log('\nComing soon: batch coloring (!)')"><span class="glyphicon glyphicon-tint"></span> Batch coloring</button>
-                  </div>
-
                   <div id="table_function_colors_container" style="margin-top: 20px; color:black">
                     <table id="table_function_colors">
                       <thead id="thead_function_colors">

From 1a97b572f16d38aebe9db32e1c6f3e441a1f6a37 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 23 Aug 2022 00:44:17 -0500
Subject: [PATCH 0779/1020] get_GC_content_for_sequence_as_an_array was
 accidentally removed

---
 anvio/utils.py | 30 ++++++++++++++++++++++++++++++
 1 file changed, 30 insertions(+)

diff --git a/anvio/utils.py b/anvio/utils.py
index c0dd44a9d3..1c9d10e20d 100644
--- a/anvio/utils.py
+++ b/anvio/utils.py
@@ -1625,6 +1625,36 @@ def get_GC_content_for_sequence(sequence):
     return Composition(sequence).GC_content
 
 
+def get_GC_content_for_sequence_as_an_array(sequence, sliding_window_length=100, interval=5):
+    """Unlike `get_GC_content_for_sequence`, this function returns an array for each nt position"""
+
+    if len(sequence) < sliding_window_length:
+        raise ConfigError("The sequence you are try to compute GC content for is shorter than the "
+                          "sliding window length set for this calculation. This is not OK.")
+
+    if interval < 1 or interval > sliding_window_length:
+        raise ConfigError("Your interval can't be smaller than 1 or longer than the sliding window "
+                          "length.")
+
+    sequence = sequence.upper()
+
+    gc_array = []
+    for i in range(0, len(sequence) - sliding_window_length, interval):
+        window = sequence[i:i+sliding_window_length]
+
+        gc = sum(window.count(x) for x in ["G", "C"])
+        at = sum(window.count(x) for x in ["A", "T"])
+
+        try:
+            gc_content = gc / (gc + at)
+        except ZeroDivisionError:
+            gc_content = 0.0
+
+        gc_array.extend([gc_content] * interval)
+
+    return gc_array
+
+
 def get_synonymous_and_non_synonymous_potential(list_of_codons_in_gene, just_do_it=False):
     """
     When calculating pN/pS or dN/dS, the number of variants classified as synonymous or non

From 08ede7883e9b58ea25e2e030b15bacb0ced5350d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 25 Aug 2022 22:40:04 -0500
Subject: [PATCH 0780/1020] genomeview.js is deprecated

---
 anvio/data/interactive/js/genomeview.js | 1717 -----------------------
 1 file changed, 1717 deletions(-)
 delete mode 100644 anvio/data/interactive/js/genomeview.js

diff --git a/anvio/data/interactive/js/genomeview.js b/anvio/data/interactive/js/genomeview.js
deleted file mode 100644
index 94c484c14e..0000000000
--- a/anvio/data/interactive/js/genomeview.js
+++ /dev/null
@@ -1,1717 +0,0 @@
-/**
- * Javascript library for anvi'o genome view
- *
- *  Authors: Isaac Fink <iafink@uchicago.edu>
- *           Matthew Klein <mtt.l.kln@gmail.com>
- *           A. Murat Eren <a.murat.eren@gmail.com>
- *
- * Copyright 2021, The anvi'o project (http://anvio.org)
- *
- * Anvi'o is a free software. You can redistribute this program
- * and/or modify it under the terms of the GNU General Public
- * License as published by the Free Software Foundation, either
- * version 3 of the License, or (at your option) any later version.
- *
- * You should have received a copy of the GNU General Public License
- * along with anvi'o. If not, see <http://opensource.org/licenses/GPL-3.0>.
- *
- * @license GPL-3.0+ <http://opensource.org/licenses/GPL-3.0>
- */
-
- var VIEWER_WIDTH = window.innerWidth || document.documentElement.clientWidth || document.getElementsByTagName('body')[0].clientWidth;
- var VIEWER_HEIGHT = window.innerHeight || document.documentElement.clientHeight || document.getElementsByTagName('body')[0].clientHeight;
-
- var canvas;
- var genomeLabelsCanvas;
- var genomeMax = 0;
-
- // Settings vars
- // TODO migrate below variables to kvp in state
- var stateData = {};
- var mainCanvasHeight;
- var spacing = 50; // vertical spacing between genomes
- var yOffset = 0 // vertical space between additional data layers
- var marginTop = 20; // vertical margin at the top of the genome display
- var xDisplacement = 0; // x-offset of genome start, activated if genome labels are shown
- var showLabels = true; // show genome labels?
- var genomeLabelSize = 15; // font size of genome labels
- var showGeneLabels = true; // show gene labels?
- var geneLabelSize = 40; // gene label font size
- var geneLabelPos = "above"; // gene label position; one of "above", "slanted", "inside"
- var labelSpacing = 30;  // spacing default for genomeLabel canvas
- var scaleInterval = 100; // nt scale intervals
- var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
- var adlPtsPerLayer = 10000; // number of data points to be subsampled per ADL. TODO: more meaningful default?
- var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
- var maxGroupSize = 2 // used to calculate group height. base of 1 as each group will contain at minimum a genome layer + group ruler.
- let percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
- var renderWindow = [];
- var brush;
-
- var alignToGC = null;
-
- var arrowStyle = 1; // gene arrow cosmetics. 1 (default) = 'inspect-page', 2 = thicker arrows, 3 = pentagon, 4 = rect
-
- var color_db;
-
-var genomeData;
-var xDisps = {};
-
-$(document).ready(function() {
-    initData();
-    // loadState();
-    processState('default', stateData) // lifted here until loadState is hooked in from backend
-    loadAll();
-});
-
-function initData() {
-// initialize the bulk of the data.
-    $.ajax({
-        type: 'POST',
-        cache: false,
-        url: '/data/get_genome_view_data',
-        async:false,
-        success: function(data) {
-            genomeData = data;
-            console.log("Saved the following data:");
-            console.log(data);
-
-            let genomes = Object.entries(genomeData.genomes) // an array of 2d arrays, where each genome[0] is the object key, and genome[1] is the value
-            genomeData.genomes = genomes
-        }
-    });
-}
-
-function loadState(){
-
-    $.ajax({
-        type: 'GET',
-        cache: false,
-        url: '/data/genome_view/state/get/' + state_name,
-        success: function(response) {
-            try{
-                // processState(state_name, response[0]); process actual response from backend
-                processState(state_name, mockStateData); // process mock state data
-            }catch(e){
-                console.error("Exception thrown", e.stack);
-                toastr.error('Failed to parse state data, ' + e);
-                defer.reject();
-                return;
-            }
-            // waitingDialog.hide();
-        }
-    })
-}
-
-function serializeSettings(){
-  // TODO same process as the serializeSettings() function for anvi-interactive
-  // first we run through all of the UI element default values and store them as state
-  // then we update them as necessary below in processState
-}
-
-function processState(stateName, stateData){
-  calculateMaxGenomeLength()
-  if(stateData.hasOwnProperty('group-layer-order')){
-    // TODO process
-  } else {
-    stateData['group-layer-order'] = ['Genome', 'Ruler']
-  }
-
-  if(stateData.hasOwnProperty('additional-data-layers')){
-    // TODO process
-  } else {
-    stateData['additional-data-layers'] = []
-    generateMockADL()
-  }
-
-  // working under the assumption that all genome groups with contain the same additional data layers,
-  // we can query the first genome group for specific ADL and go from there
-  buildGroupLayersTable('Genome')
-  if(stateData['additional-data-layers'][0]['ruler']) {
-    buildGroupLayersTable('Ruler')
-    // don't increase group size for ruler since it requires less space
-  }
-  if(stateData['additional-data-layers'][0]['coverage']){
-    buildGroupLayersTable('Coverage')
-    stateData['group-layer-order'].push('Coverage')
-    maxGroupSize += 1 // increase group size if coverage layer exists
-  }
-
-  if(stateData['additional-data-layers'][0]['gcContent']){
-    buildGroupLayersTable('GC_Content')
-    stateData['group-layer-order'].push('GC_Content')
-    maxGroupSize += 1 // increase group size if GC layer exists
-  }
-
-  if(stateData.hasOwnProperty('genome-order-method')){
-    stateData['genome-order-method'].forEach(orderMethod => {
-      $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
-    })
-  } else {
-    generateMockGenomeOrder()
-    stateData['genome-order-method'].forEach(orderMethod => {
-      $('#genome_order_select').append((new Option(orderMethod["name"], orderMethod["name"]))) // set display + value of new select option.
-    })
-  }
-
-  if(stateData.hasOwnProperty('display')){
-    // TODO process
-  } else {
-    stateData['display'] = {}
-    stateData['display']['additionalDataLayers'] = {}
-  }
-  if(stateData['display'].hasOwnProperty('bookmarks')){
-    stateData['display']['bookmarks'].map(bookmark => {
-      $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
-    })
-    respondToBookmarkSelect()
-  } else {
-    calculateMaxGenomeLength() // remove later, only here to set max length for bookmark
-    stateData['display']['bookmarks'] = [ // gen mock data
-      {
-        name : 'entire seq',
-        start : '0',
-        stop : genomeMax,
-        description : 'a mighty fine placeholder'
-      },
-      {
-        name : 'shindig',
-        start : '5000',
-        stop : '9000',
-        description : 'a beautiful placeholder'
-      },
-      {
-        name : 'fiesta',
-        start : '15000',
-        stop : '19000',
-        description : 'an adequate placeholder'
-      },
-      {
-        name : 'party',
-        start : '25000',
-        stop : '29000',
-        description : 'the very best placeholder'
-      },
-    ]
-    stateData['display']['bookmarks'].map(bookmark => {
-      $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
-    })
-    // set listener for user bookmark selection
-    respondToBookmarkSelect()
-  }
-
-  function generateMockADL(){
-    for(let i = 0; i < genomeData.genomes.length; i++){ // generate mock additional data layer content
-      let gcContent = []
-      let coverage = []
-      for(let j = 0; j < genomeMax; j++){
-        gcContent.push(Math.floor(Math.random() * 45))
-        coverage.push(Math.floor(Math.random() * 45))
-      }
-      let genomeLabel = Object.keys(genomeData.genomes[i][1]['contigs']['info'])[0];
-      let additionalDataObject = {
-        'genome' : genomeLabel,
-        'coverage' : coverage,
-        'coverage-color' : 'blue',
-        'gcContent' : gcContent,
-        'gcContent-color' : 'purple',
-        'ruler' : true // TODO: store any genome-specific scale data here
-      }
-      stateData['additional-data-layers'].push(additionalDataObject)
-    }
-  }
-  function generateMockGenomeOrder(){
-    stateData['genome-order-method'] = [{
-        'name' : 'cats',
-        'ordering' : 'some order'
-      }, {
-        'name' : 'dogs',
-        'ordering' : 'some other order'
-      }, {
-        'name' : 'birds',
-        'ordering' : 'beaks to tails'
-    }]
-  }
-}
-
-function loadAll() {
-  buildGenomesTable(genomeData.genomes, 'alphabetical') // hardcode order method until backend order data is hooked in
-  canvas = new fabric.Canvas('myCanvas');
-  canvas.setWidth(VIEWER_WIDTH * 0.85);
-
-  $('.container').css({'height' : VIEWER_HEIGHT + 'px', 'overflow-y' : 'auto'})
-  xDisplacement = showLabels ? 120 : 0;
-  for(genome of genomeData.genomes) {
-    xDisps[genome[0]] = xDisplacement;
-  }
-
-  // Find max length genome
-  calculateMaxGenomeLength()
-
-  drawScale();
-
-  $('#brush_start').val(0);
-  $('#brush_end').val(Math.floor(canvas.getWidth()));
-
-  $('#tooltip-body').hide() // set initual tooltip hide value
-  $('#show_genome_labels_box').attr("checked", showLabels);
-  $('#show_gene_labels_box').attr("checked", showGeneLabels);
-  $('#show_dynamic_scale_box').attr("checked", dynamicScaleInterval);
-
-  // can either set arrow click listener on the canvas to check for all arrows, or when arrow is created.
-
-  // disable group selection
-  canvas.on('selection:created', (e) => {
-    if(e.target.type === 'activeSelection') {
-      canvas.discardActiveObject();
-    }
-  })
-
-  canvas.on('mouse:over', (event) => {
-    if(event.target && event.target.id === 'arrow'){
-      showToolTip(event)
-    }
-  })
-
-  canvas.on('mouse:out', (event) => {
-    $('#tooltip-body').html('').hide()
-  })
-
-  if(showGeneLabels && arrowStyle != 3) {
-    marginTop = 60;
-    spacing = 200; // TODO maybe we refactor this out into a setSpacing() method for clarity?
-    $("#genome_spacing").val(spacing);
-  }
-
-  function showToolTip(event){
-    $('#tooltip-body').show().append(`
-      <p></p>
-      <style type="text/css">
-        .tftable {font-size:12px;color:#333333;width:100%;border-width: 1px;border-color: #729ea5;border-collapse: collapse;}
-        .tftable th {font-size:12px;background-color:#acc8cc;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;text-align:left;}
-        .tftable tr {background-color:#d4e3e5;}
-        .tftable td {font-size:12px;border-width: 1px;padding: 8px;border-style: solid;border-color: #729ea5;}
-        .tftable tr:hover {background-color:#ffffff;}
-      </style>
-
-      <table class="tftable" border="1">
-        <tr><th>Data</th><th>Value</th></tr>
-        <tr><td>Split</td><td>${event.target.gene.contig}</td></tr>
-        <tr><td>Start in Contig</td><td>${event.target.gene.start}</td></tr>
-        <tr><td>Length</td><td>${event.target.gene.stop - event.target.gene.start}</td></tr>
-        <tr><td>Gene Callers ID</td><td>${event.target.geneID}</td></tr>
-        <tr><td>Gene Cluster</td><td>${genomeData.gene_associations["anvio-pangenome"] ? genomeData.gene_associations["anvio-pangenome"]["genome-and-gene-names-to-gene-clusters"][event.target.genomeID][event.target.geneID] : "None"}</td></tr>
-      </table>
-      <button>some action</button>
-      <button>some other action</button>
-      `).css({'position' : 'absolute', 'left' : event.e.clientX, 'top' : event.e.clientY })
-  }
-
-  $('#gene_color_order').append($('<option>', {
-    value: 'Source',
-    text: 'Source'
-  }));
-  for(fn of getFunctionalAnnotations()) {
-    $('#gene_color_order').append($('<option>', {
-      value: fn,
-      text: fn
-    }));
-  }
-  color_db = $('#gene_color_order').val();
-  generateColorTable(fn_colors=null, fn_type=color_db);
-
-  brush.extent([parseInt($('#brush_start').val()),parseInt($('#brush_end').val())]);
-  brush(d3.select(".brush"));
-  updateRenderWindow();
-  draw();
-
-  // panning
-  canvas.on('mouse:down', function(opt) {
-    var evt = opt.e;
-    if (evt.shiftKey === true) {
-      this.isDragging = true;
-      this.selection = false;
-      this.lastPosX = evt.clientX;
-    }
-    this.shades = true;
-    if(opt.target && opt.target.groupID) this.prev = opt.target.left;
-  });
-  canvas.on('mouse:move', function(opt) {
-    if (this.isDragging) {
-      var e = opt.e;
-      var vpt = this.viewportTransform;
-      vpt[4] += e.clientX - this.lastPosX;
-      bindViewportToWindow();
-      this.requestRenderAll();
-      this.lastPosX = e.clientX;
-
-      let [l,r] = getFracForVPT();
-      if(l < renderWindow[0] || r > renderWindow[1]) {
-        updateRenderWindow();
-        draw();
-      }
-    }
-  });
-  canvas.on('mouse:up', function(opt) {
-    this.setViewportTransform(this.viewportTransform);
-    if(this.isDragging) updateScalePos();
-    this.isDragging = false;
-    this.selection = true;
-    if(!this.shades) {
-      // slid a genome
-      this.shades = true;
-      drawTestShades();
-      bindViewportToWindow();
-      updateScalePos(); // adjust scale box to new sequence breadth
-      updateRenderWindow();
-
-      redrawGenome(opt.target.groupID);
-    }
-  });
-  canvas.on('object:moving', function(opt) {
-    var gid = opt.target ? opt.target.groupID : null;
-    if(gid == null) return;
-
-    if(opt.target.id == 'genomeLine' || (opt.target.id == 'arrow' && arrowStyle == 3)) canvas.sendBackwards(opt.target);
-    if(this.shades) {
-      clearShades();
-      this.shades = false;
-    }
-
-    let objs = canvas.getObjects().filter(obj => obj.groupID == gid);
-
-    var delta = opt.target.left - this.prev;
-    canvas.getObjects().filter(obj => obj.groupID == gid).forEach(o => {
-      if(o !== opt.target) o.left += delta;
-    });
-    xDisps[gid] += delta;
-
-    this.setViewportTransform(this.viewportTransform);
-    setPercentScale();
-    this.prev = opt.target.left;
-  });
-  canvas.on('mouse:wheel', function(opt) {
-    opt.e.preventDefault();
-    opt.e.stopPropagation();
-
-    var delta = opt.e.deltaY;
-    let tmp = scaleFactor * (0.999 ** delta);
-    let diff = tmp - scaleFactor;
-    let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-    let [newStart, newEnd] = [Math.floor(start - diff*genomeMax), Math.floor(end + diff*genomeMax)];
-    if(newStart < 0) newStart = 0;
-    if(newEnd > genomeMax) newEnd = genomeMax;
-    if(newEnd - newStart < 50) return;
-
-    brush.extent([newStart, newEnd]);
-    brush(d3.select(".brush").transition()); // if zoom is slow or choppy, try removing .transition()
-    brush.event(d3.select(".brush"));
-    $('#brush_start').val(newStart);
-    $('#brush_end').val(newEnd);
-  });
-
-  $('#alignClusterInput').on('keydown', function(e) {
-    if(e.keyCode == 13) { // 13 = enter key
-      alignToCluster($(this).val());
-      $(this).blur();
-    }
-  });
-  $('#panClusterInput').on('keydown', function(e) {
-    if(e.keyCode == 13) { // 13 = enter key
-      viewCluster($(this).val());
-      $(this).blur();
-    }
-  });
-  document.body.addEventListener("keydown", function(ev) {
-    if(ev.which == 83 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // S = 83
-      toggleSettingsPanel();
-    }
-  });
-  $('#genome_spacing').on('keydown', function(e) {
-    if(e.keyCode == 13) { // 13 = enter key
-      setGenomeSpacing($(this).val());
-      $(this).blur();
-    }
-  });
-  $('#gene_label').on('keydown', function(e) {
-    if(e.keyCode == 13) { // 13 = enter key
-      setGeneLabelSize($(this).val());
-      $(this).blur();
-    }
-  });
-  $('#genome_label').on('keydown', function(e) {
-    if(e.keyCode == 13) { // 13 = enter key
-      setGenomeLabelSize($(this).val());
-      $(this).blur();
-    }
-  });
-  $('#genome_scale_interval').on('keydown', function(e) {
-    if(e.keyCode == 13) { // 13 = enter key
-      setScaleInterval($(this).val());
-      $(this).blur();
-    }
-  });
-  $('#gene_color_order').on('change', function() {
-      color_db = $(this).val();
-      generateColorTable(null, color_db); // TODO: include highlight_genes, fn_colors etc from state
-      draw();
-      $(this).blur();
-  });
-  $('#arrow_style').on('change', function() {
-      arrowStyle = parseInt($(this).val());
-      draw();
-      $(this).blur();
-  });
-  $('#gene_text_pos').on('change', function() {
-      geneLabelPos = $(this).val();
-      if(!(geneLabelPos == "inside" && arrowStyle != 3)) draw();
-      $(this).blur();
-  });
-  $('#show_genome_labels_box').on('change', function() {
-    showLabels = !showLabels;
-    xDisplacement = showLabels ? 120 : 0;
-    alignToGC = null;
-    draw();
-  });
-  $('#show_gene_labels_box').on('change', function() {
-    showGeneLabels = !showGeneLabels;
-    draw();
-  });
-  $('#show_dynamic_scale_box').on('change', function() {
-    dynamicScaleInterval = !dynamicScaleInterval;
-  });
-  $('#adl_pts_per_layer').on('change', function() {
-    setPtsPerADL($(this).val());
-    $(this).blur();
-  });
-  $('#brush_start, #brush_end').keydown(function(ev) {
-      if (ev.which == 13) { // enter key
-          let [start, end] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())]
-                                          : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-          let endBound = percentScale ? 1 : genomeMax;
-
-          if (isNaN(start) || isNaN(end) || start < 0 || start > endBound || end < 0 || end > endBound) {
-              alert(`Invalid value, value needs to be in range 0-${endBound}.`);
-              return;
-          }
-
-          if (start >= end) {
-              alert('Starting value cannot be greater or equal to the ending value.');
-              return;
-          }
-
-          brush.extent([start, end]);
-          brush(d3.select(".brush").transition());
-          brush.event(d3.select(".brush").transition());
-      }
-  });
-}
-
-function draw() {
-  canvas.clear()
-  labelSpacing = 30 // reset to default value upon each draw() call
-  canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
-
-  genomeData['genomes'].map((genome, idx) => {
-    addGenome(idx)
-    addLayers(idx)
-    labelSpacing += 30
-  })
-
-  checkGeneLabels();
-  drawTestShades();
-}
-
-function zoomIn() {
-  let start = parseInt($('#brush_start').val()), end = parseInt($('#brush_end').val());
-  let newStart, newEnd;
-
-  let len = end - start;
-  if(len > 4*genomeMax/50) {
-    newStart = Math.floor(start + genomeMax/50), newEnd = Math.floor(end - genomeMax/50);
-  } else {
-    if(len < 50) return;
-    newStart = Math.floor(start + len/4);
-    newEnd = Math.floor(end - len/4);
-    if(newEnd - newStart <= 0) return;
-  }
-
-  brush.extent([newStart, newEnd]);
-  brush(d3.select(".brush").transition());
-  brush.event(d3.select(".brush").transition());
-}
-
-function zoomOut() {
-  let start = parseInt($('#brush_start').val()), end = parseInt($('#brush_end').val());
-
-  let newStart = start - genomeMax/50, newEnd = end + genomeMax/50;
-  if(newStart == 0 && newEnd == genomeMax) { // for extra-zoomed-out view
-    scaleFactor = 0.01;
-    if(dynamicScaleInterval) adjustScaleInterval();
-  draw();
-    return;
-  }
-  if(newStart < 0) newStart = 0;
-  if(newEnd > genomeMax) newEnd = genomeMax;
-
-  brush.extent([newStart, newEnd]);
-  brush(d3.select(".brush").transition());
-  brush.event(d3.select(".brush").transition());
-}
-
-/*
- *  Draw background shades between genes of the same cluster.
- *  TODO: generalize this function to take in [start,stop,val] NT sequence ranges to shade any arbitrary metric
- *        - add a separate function for retrieving [start,stop,val] given gene cluster IDs
- *
- *  @param geneClusters : array of GC IDs to be shaded
- *  @param colors       : dict defining color of each shade, in the form {geneClusterID : hexColor}
- */
-function shadeGeneClusters(geneClusters, colors) {
-  if(!genomeData.gene_associations["anvio-pangenome"]) return;
-
-  let y = marginTop;
-  for(var i = 0; i < genomeData.genomes.length-1; i++) {
-    let genomeA = genomeData.genomes[i][1].genes.gene_calls;
-    let genomeB = genomeData.genomes[i+1][1].genes.gene_calls;
-    let genomeID_A = genomeData.genomes[i][0];
-    let genomeID_B = genomeData.genomes[i+1][0];
-    let [l1,r1] = getRenderNTRange(genomeID_A);
-    let [l2,r2] = getRenderNTRange(genomeID_B);
-
-    for(gc of geneClusters) {
-      let g1 = [], g2 = [];
-      for(geneID of genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID_A]) {
-        g1.push(genomeA[geneID].start, genomeA[geneID].stop);
-      }
-      for(geneID of genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID_B]) {
-        g2.push(genomeB[geneID].start, genomeB[geneID].stop);
-      }
-
-      // if shades outside render bounds, don't draw them
-      if(g1[1] < l1 && g2[1] < l2) continue;
-      if(g1[0] > r1 && g2[0] > r2) break;
-
-      g1 = g1.map(val => val*scaleFactor + xDisps[genomeID_A]);
-      g2 = g2.map(val => val*scaleFactor + xDisps[genomeID_B]);
-
-      /* TODO: implementation for multiple genes of the same genome in the same gene cluster */
-      var path = new fabric.Path("M " + g1[0] + " " + y + " L " + g1[1] + " " + y + " L " + g2[1] + " " + (y+spacing) + " L " + g2[0] + " " + (y+spacing) + " z", {
-        id: 'link',
-        fill: colors[gc],
-        opacity: 0.25,
-        selectable: false
-      });
-      path.sendBackwards();
-      canvas.sendToBack(path);
-    }
-    y += spacing
-  }
-}
-
-/*
- *  Clear all gene links from the canvas.
- */
-function clearShades() {
-  canvas.getObjects().filter(obj => obj.id == 'link').forEach((l) => { canvas.remove(l) });
-}
-
-/*
- *  Temporary function for testing shades.
- */
-function drawTestShades() {
-  shadeGeneClusters(["GC_00000034","GC_00000097","GC_00000002"],{"GC_00000034":"green","GC_00000097":"red","GC_00000002":"purple"});
-}
-
-/*
- *  Show/hide gene labels to show the max amount possible s.t. none overlap.
- */
-function checkGeneLabels() {
-  var labels = canvas.getObjects().filter(obj => obj.id == 'geneLabel');
-  for(var i = 0; i < labels.length-1; i++) {
-    if(arrowStyle == 3) {
-      // hide labels that don't fit inside pentagon arrows
-      if(labels[i].width/2 > canvas.getObjects().filter(obj => obj.id == 'arrow')[i].width) {
-        labels[i].visible = false;
-        continue;
-      }
-      labels[i].visible = true;
-    }
-    var p = i+1;
-    while(p < labels.length && labels[i].intersectsWithObject(labels[p])) {
-      labels[p].visible = false;
-      p++;
-    }
-    if(p == labels.length) return;
-    labels[p].visible = true;
-    i = p - 1;
-  }
-}
-
-/*
- *  Shift genomes horizontally to align genes around the target gene cluster.
- *
- *  @param gc : target gene cluster ID
- */
-function alignToCluster(gc) {
-  if(!genomeData.gene_associations["anvio-pangenome"]) return;
-
-  let targetGeneInfo = viewCluster(gc);
-  if(targetGeneInfo == null) return;
-  let [firstGenomeID, targetGeneMid] = targetGeneInfo;
-  if(firstGenomeID != null) {
-    alignToGC = gc;
-    let index = genomeData.genomes.findIndex(g => g[0] == firstGenomeID);
-    for(var i = index+1; i < genomeData.genomes.length; i++) {
-      let gid = genomeData.genomes[i][0];
-      let geneMids = getGenePosForGenome(genomeData.genomes[i][0], alignToGC);
-      if(geneMids == null) continue;
-      let geneMid = geneMids[0]; /* TODO: implementation for multiple matching gene IDs */
-      let shift = scaleFactor * (targetGeneMid - geneMid) + (xDisps[firstGenomeID] - xDisps[gid]);
-      let objs = canvas.getObjects().filter(obj => obj.groupID == gid);
-      for(o of objs) o.left += shift;
-      xDisps[gid] += shift;
-      canvas.setViewportTransform(canvas.viewportTransform);
-
-      // clear and redraw shades
-      clearShades();
-      drawTestShades();
-    }
-  }
-}
-
-/*
- * Pan viewport to the first gene in the target gene cluster.
- *
- * @param gc : target gene cluster ID
- * @returns tuple [a,b] where
- *  a is genomeID of the first genome containing `gc` and
- *  b is NT position of the middle of the target gene
-*/
-function viewCluster(gc) {
-  if(!genomeData.gene_associations["anvio-pangenome"]) return;
-
-  let genes = [];
-  let geneMid;
-  let first = true;
-  let firstGenomeID;
-
-  if(!gc || gc in genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"]) {
-    for(genome of genomeData.genomes) {
-      var targetGenes = getGenesOfGC(genome[0], gc);
-      if(targetGenes == null) continue;
-      var targetGeneID = targetGenes[0]; /* TODO: implementation for multiple matching gene IDs */
-      var targetGene = genome[1].genes.gene_calls[targetGeneID];
-      genes.push({genomeID:genome[0],geneID:targetGeneID});
-      if(first) {
-        geneMid = targetGene.start + (targetGene.stop - targetGene.start) / 2;
-        canvas.absolutePan({x: scaleFactor*geneMid + xDisps[genome[0]] - canvas.getWidth()/2, y: 0});
-        canvas.viewportTransform[4] = clamp(canvas.viewportTransform[4], canvas.getWidth() - genomeMax*scaleFactor - xDisps[genome[0]] - 125, 125);
-        firstGenomeID = genome[0];
-        first = false;
-      }
-    }
-    updateScalePos();
-    updateRenderWindow();
-    draw();
-    glowGenes(genes);
-    return (first ? null : [firstGenomeID, geneMid]);
-  } else {
-    console.log('Warning: ' + gc + ' is not a gene cluster in data structure');
-    return null;
-  }
-}
-
-/*
- *  @returns NT position of the middle of each gene in a given genome with a specified gene cluster
- */
-function getGenePosForGenome(genomeID, gc) {
-  var targetGenes = getGenesOfGC(genomeID, gc);
-  if(targetGenes == null) return null;
-
-  let genome = genomeData.genomes.find(g => g[0] == genomeID);
-  let mids = [];
-  for(geneID of targetGenes) {
-    let gene = genome[1].genes.gene_calls[geneID];
-    let geneMid = gene.start + (gene.stop - gene.start) / 2;
-    mids.push(geneMid);
-  }
-  return mids;
-}
-
-/*
- *  @returns array of geneIDs in a given genome with a specified gene cluster
- */
-function getGenesOfGC(genomeID, gc) {
-  var targetGenes = genomeData.gene_associations["anvio-pangenome"]["gene-cluster-name-to-genomes-and-genes"][gc][genomeID];
-  return targetGenes.length > 0 ? targetGenes : null;
-}
-
-/*
- *  Add a temporary glow effect around given gene(s).
- *
- *  @param geneParams : array of dicts, in one of two formats:
- *    (1) [{genomeID: gid_1, geneID: [id_1, id_2, ...]}, ...]
- *    (2) [{genomeID: gid_1, geneID: id_1}, ...]
- */
-function glowGenes(geneParams) {
-  // convert geneParams format (1) to format (2)
-  if(Array.isArray(geneParams[0].geneID)) {
-    let newParams = [];
-    for(genome of geneParams) {
-      for(gene of genome.geneID) newParams.push({genomeID:genome.genomeID, geneID:gene});
-    }
-    geneParams = newParams;
-  }
-
-  var shadow = new fabric.Shadow({
-    color: 'red',
-    blur: 30
-  });
-  var arrows = canvas.getObjects().filter(obj => obj.id == 'arrow' && geneParams.some(g => g.genomeID == obj.genomeID && g.geneID == obj.geneID));
-  for(arrow of arrows) {
-    arrow.set('shadow', shadow);
-    arrow.animate('shadow.blur', 0, {
-      duration: 3000,
-      onChange: canvas.renderAll.bind(canvas),
-      onComplete: function(){ arrow.shadow = null; },
-      easing: fabric.util.ease['easeInQuad']
-    });
-  }
-  canvas.renderAll();
-}
-
-function setPtsPerADL(newResolution) {
-  if(isNaN(newResolution)) return;
-  newResolution = parseInt(newResolution);
-  if(newResolution < 0 || newResolution > genomeMax) {
-    alert(`Invalid value, genome spacing must be in range 0-${genomeMax}.`);
-    return;
-  }
-  adlPtsPerLayer = newResolution;
-  draw();
-}
-
-function showAllADLPts() {
-  setPtsPerADL(genomeMax);
-  $('#showAllADLPtsBtn').blur();
-}
-
-function alignRulers() {
-  for(genome of genomeData.genomes) {
-    xDisps[genome[0]] = xDisplacement;
-  }
-  percentScale = false;
-  drawScale();
-  bindViewportToWindow();
-  updateScalePos();
-  updateRenderWindow();
-  draw();
-  $('#alignRulerBtn').blur();
-}
-
-function setGenomeSpacing(newSpacing) {
-  if(isNaN(newSpacing)) return;
-  newSpacing = parseInt(newSpacing);
-  if(newSpacing < 0 || newSpacing > 1000) {
-    alert(`Invalid value, genome spacing must be in range 0-1000.`);
-    return;
-  }
-  spacing = newSpacing;
-  draw();
-}
-
-function setScaleInterval(newScale) {
-  if(isNaN(newScale)) return;
-  newScale = parseInt(newScale);
-  if(newScale < 50) {
-    alert(`Invalid value, scale interval must be >=50.`);
-    return;
-  }
-  scaleInterval = newScale;
-  draw();
-}
-
-function setGeneLabelSize(newSize) {
-  if(isNaN(newSize)) return;
-  newSize = parseInt(newSize);
-  if(newSize < 0 || newSize > 1000) {
-    alert(`Invalid value, gene label size must be in range 0-1000.`);
-    return;
-  }
-  geneLabelSize = newSize;
-  if(showGeneLabels) draw();
-}
-
-function setGenomeLabelSize(newSize) {
-  if(isNaN(newSize)) return;
-  newSize = parseInt(newSize);
-  if(newSize < 0 || newSize > 1000) {
-    alert(`Invalid value, genome label size must be in range 0-1000.`);
-    return;
-  }
-  genomeLabelSize = newSize;
-  if(showLabels) draw();
-}
-
-function addGenome(orderIndex) {
-  let genome = genomeData.genomes[orderIndex];
-  let gene_list = genome[1].genes.gene_calls;
-  let genomeLabel = gene_list[0].contig;
-  let genomeID = genome[0];
-  let y = marginTop + orderIndex*spacing;
-
-  let layerHeight = spacing / maxGroupSize
-  if(showLabels) {
-    canvas.add(new fabric.Text(genomeLabel, {top: y-5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold'}));
-  }
-
-  let [start, stop] = percentScale ? getRenderXRangeForFrac() : renderWindow.map(x => x*scaleFactor + xDisps[genomeID]);
-  start = clamp(start > xDisps[genomeID] ? start : xDisps[genomeID], calcXBounds()[0], calcXBounds()[1]);
-  stop = clamp(stop, calcXBounds()[0], calcXBounds()[1]);
-
-  // line
-  let lineObj = new fabric.Line([start,0,stop,0], {
-        id: 'genomeLine',
-        groupID: genomeID,
-        top: y + 4,
-        stroke: 'black',
-        strokeWidth: 2,
-        lockMovementY: true,
-        hasControls: false,
-        hasBorders: false,
-        lockScaling: true});
-  canvas.add(lineObj);
-  addBackgroundShade(y, start, genomeMax, layerHeight, orderIndex)
-
-  for(let geneID in gene_list) {
-    let gene = gene_list[geneID];
-    let [ntStart, ntStop] = getRenderNTRange(genomeID);
-    if(gene.start < ntStart) continue;
-    if(gene.stop > ntStop) return;
-    var geneObj = geneArrow(gene,geneID,y,genomeID,arrowStyle);
-    canvas.add(geneObj);
-
-    if(showGeneLabels) {
-      var label = new fabric.IText("geneID: "+geneID, {
-        id: 'geneLabel',
-        groupID: genomeID,
-        fontSize: geneLabelSize,
-        angle: geneLabelPos == "slanted" ? -10 : 0,
-        left: xDisps[genomeID]+(gene.start+50)*scaleFactor,
-        scaleX: 0.5,
-        scaleY: 0.5,
-        hasControls: false,
-        lockMovementX: true,
-        lockMovementY: true,
-        lockScaling: true,
-        hoverCursor: 'text'
-      });
-      if(arrowStyle == 3) {
-        label.set({
-          top: geneLabelPos == "inside" ? y-5 : y-30,
-          selectionColor:'rgba(128,128,128,.5)'
-        });
-      } else {
-        label.set({
-          top: y-30,
-          selectionColor:'rgba(128,128,128,.2)'
-        });
-      }
-      canvas.add(label);
-    }
-  }
-}
-/*
- *  For each genome group, iterate additional layers beyond genome and render where appropriate
- */
-function addLayers(orderIndex){
-  yOffset = orderIndex * spacing;
-  let genomeID = genomeData.genomes[orderIndex][0];
-  let genome = genomeData.genomes[orderIndex][1];
-  let label = genome.genes.gene_calls[0].contig;
-
-  let additionalDataLayers = stateData['additional-data-layers'].find(group => group.genome == label)
-  let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
-
-  stateData['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
-    let layerPos = [spacing / maxGroupSize] * idx
-
-    if(layer == 'Ruler' && additionalDataLayers['ruler'] && $('#Ruler-show').is(':checked')) {
-      buildGroupRulerLayer(genomeID, layerPos, orderIndex)
-    }
-    if(layer == 'Coverage' && additionalDataLayers['coverage'] && $('#Coverage-show').is(':checked')){
-      buildNumericalDataLayer('coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', orderIndex)
-    }
-    if(layer == 'GC_Content' && additionalDataLayers['gcContent'] && $('#GC_Content-show').is(':checked')){
-      buildNumericalDataLayer('gcContent', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', orderIndex)
-    }
-  })
-}
-
-/*
- *  Process to generate numerical ADL for genome groups (ie Coverage, GC Content )
- */
-function buildNumericalDataLayer(layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor, orderIndex){
-    let maxGCValue = 0
-    let startingTop = marginTop + yOffset + layerPos
-    let startingLeft = xDisps[genomeID]
-    let layerHeight = spacing / maxGroupSize
-    let pathDirective = [`M 0 0`]
-
-    for(let i = 0; i < additionalDataLayers[layer].length; i++){
-      additionalDataLayers[layer][i] > maxGCValue ? maxGCValue = additionalDataLayers[layer][i] : null
-    }
-
-    let nGroups = 20
-    let j = 0
-    let [l,r] = getRenderNTRange(genomeID);
-    for(let i = 0; i < nGroups; i++) {
-      for(; j < i*genomeMax/nGroups; j+=ptInterval){
-        if(j < l) continue;
-        if(j > r) break;
-        let left = j * scaleFactor + startingLeft
-        let top = [additionalDataLayers[layer][j] / maxGCValue] * layerHeight
-        let segment = `L ${left} ${top}`
-        pathDirective.push(segment)
-      }
-      let graphObj = new fabric.Path(pathDirective.join(' '))
-      graphObj.set({
-        top : startingTop,
-        stroke : additionalDataLayers[layer] ? additionalDataLayers[`${layer}-color`] : defaultColor,
-        fill : '', //additionalDataLayers['gcContent-color'] ? additionalDataLayers['gcContent-color'] : 'black',
-        selectable: false,
-        objectCaching: false,
-        id : `${layer} graph`,
-        groupID : genomeID,
-        genome : additionalDataLayers['genome']
-      })
-      canvas.bringToFront(graphObj)
-      pathDirective = []
-    }
-    addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
-}
-/*
- *  Generate individual genome group rulers
- */
-function buildGroupRulerLayer(genomeID, layerPos, orderIndex){
-  let startingTop = marginTop + yOffset + layerPos
-  let startingLeft = xDisps[genomeID]
-  let layerHeight = spacing / maxGroupSize
-
-  // split ruler into several objects to avoid performance cost of large object pixel size
-  let nRulers = 20;
-  let w = 0;
-  let [l,r] = getRenderNTRange(genomeID);
-  for(let i = 0; i < nRulers; i++) {
-    let ruler = new fabric.Group();
-    for(; w < (i+1)*genomeMax/nRulers; w+=scaleInterval) {
-      if(w < l) continue;
-      if(w > r) break;
-      let tick = new fabric.Line([0,0,0,20], {left: (w*scaleFactor),
-            stroke: 'black',
-            strokeWidth: 1,
-            fontSize: 10,
-            fontFamily: 'sans-serif'});
-      let lbl = new fabric.Text(w/1000 + " kB", {left: (w*scaleFactor+5),
-            stroke: 'black',
-            strokeWidth: .25,
-            fontSize: 15,
-            fontFamily: 'sans-serif'});
-      ruler.add(tick);
-      ruler.add(lbl);
-    }
-      ruler.set({
-        left: startingLeft,
-        top: startingTop,
-        lockMovementY: true,
-        hasControls: false,
-        hasBorders: false,
-        lockScaling: true,
-        objectCaching: false,
-        groupID: genomeID
-      });
-      ruler.addWithUpdate();
-      canvas.add(ruler);
-  }
-  addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
-}
-
-function geneArrow(gene, geneID, y, genomeID, style) {
-  let ind = genomeData.genomes.findIndex(g => g[0] == genomeID);
-  let functions = genomeData.genomes[ind][1].genes.functions[geneID];
-
-  let color = 'gray';
-  let cag = getCagForType(functions, color_db);
-
-  // TODO: use state instead of hardcoded color pickers
-
-  // check if gene is highlighted
-  let pickerCode = genomeID + '-' + geneID;
-  if($('#picker_' + pickerCode).length > 0) {
-    color = $('#picker_' + pickerCode).attr('color');
-  } else {
-    if(cag) {
-      let code = cag.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_');
-      if($('#picker_' + code).length > 0) color = $('#picker_' + code).attr('color');
-    } else {
-      if (gene.source.startsWith('Ribosomal_RNA')) {
-        cag = 'rRNA';
-      } else if (gene.source == 'Transfer_RNAs') {
-        cag = 'tRNA';
-      } else if (gene.functions !== null) {
-        cag = 'Function';
-      }
-      if($('#picker_' + cag).length > 0) color = $('#picker_' + cag).attr('color');
-    }
-  }
-
-  let length = (gene.stop-gene.start)*scaleFactor;
-  let stemLength = length-25 > 0 ? length-25 : 0;
-
-  var arrowPathStr;
-  switch(style) {
-    case 2: // thicker arrows
-      arrowPathStr = 'M ' + stemLength + ' -5 L 0 -5 L 0 15 L ' + stemLength + ' 15 L ' + stemLength + ' 15 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
-      break;
-    case 3: // pentagon arrows
-      arrowPathStr = 'M 0 0 L ' + stemLength + ' 0 L ' + length + ' 20 L ' + stemLength + ' 40 L 0 40 L 0 0 z';
-      break;
-    case 4: // rect arrows
-      arrowPathStr = 'M ' + length + ' -5 L 0 -5 L 0 15 L ' + length + ' 15 z';
-      break;
-    default: // 'inspect page' arrows
-      arrowPathStr = 'M ' + stemLength + ' 0 L 0 0 L 0 10 L ' + stemLength + ' 10 L ' + stemLength + ' 10 L ' + stemLength + ' 20 L ' + length + ' 5 L ' + stemLength + ' -10 z';
-      break;
-  }
-
-  var arrow = new fabric.Path(arrowPathStr);
-  arrow.set({
-    id: 'arrow',
-    groupID: genomeID,
-    lockMovementY: true,
-    hasControls: false,
-    hasBorders: false,
-    lockScaling: true,
-    gene: gene,
-    geneID: geneID,
-    genomeID: genomeID,
-    top: style == 3 ? y-17 : y-11,
-    left: xDisps[genomeID] + (1.5+gene.start)*scaleFactor,
-    fill: color,
-    stroke: 'gray',
-    strokeWidth: style == 3 ? 3 : 1.5
-  });
-  if(gene.direction == 'r') arrow.rotate(180);
-
-  return arrow;
-}
-
-function redrawGenome(genomeID) {
-  canvas.getObjects().filter(o => o.groupID == genomeID).forEach(obj => canvas.remove(obj));
-  let idx = genomeData.genomes.findIndex(obj => obj[0] == genomeID);
-  addGenome(idx);
-  addLayers(idx);
-  checkGeneLabels();
-}
-
-function toggleSettingsPanel() {
-    $('#settings-panel').toggle();
-
-    if ($('#settings-panel').is(':visible')) {
-        $('#toggle-panel-settings').addClass('toggle-panel-settings-pos');
-        $('#toggle-panel-settings-inner').html('&#9658;');
-    } else {
-        $('#toggle-panel-settings').removeClass('toggle-panel-settings-pos');
-        $('#toggle-panel-settings-inner').html('&#9664;');
-    }
-}
-
-/*
- *  @returns [start, stop] nt range for the current viewport and scaleFactor
- */
-function getNTRangeForVPT() {
-  let vpt = canvas.viewportTransform;
-  let window_left = Math.floor((-1*vpt[4]-xDisplacement)/scaleFactor);
-  let window_right = Math.floor(window_left + canvas.getWidth()/scaleFactor);
-  // if window is out of bounds, shift to be in bounds
-  if(window_left < 0) {
-    window_right -= window_left;
-    window_left = 0;
-  }
-  if(window_right > genomeMax) {
-    window_left -= (window_right - genomeMax);
-    window_right = genomeMax;
-  }
-  return [window_left, window_right];
-}
-
-/*
- *  @returns [start, stop] proportional (0-1) range, used with scale for non-aligned genomes
- */
-function getFracForVPT() {
-  let resolution = 4; // number of decimals to show
-  let [x1, x2] = calcXBounds();
-  let window_left = Math.round(10**resolution * (-1*canvas.viewportTransform[4] - x1) / (x2 - x1)) / 10**resolution;
-  let window_right = Math.round(10**resolution * (window_left + (canvas.getWidth()) / (x2 - x1))) / 10**resolution;
-  // if window is out of bounds, shift to be in bounds
-  if(window_left < 0) {
-    window_right -= window_left;
-    window_left = 0;
-  }
-  if(window_right > 1) {
-    window_left -= (window_right - 1);
-    window_right = 1;
-  }
-  return [window_left, window_right];
-}
-
-/*
- *  @returns range of renderWindow x-positions for a given proportional range
- */
-function getRenderXRangeForFrac() {
-  if(!percentScale) return null;
-  let [l,r] = calcXBounds();
-  let [x1, x2] = renderWindow.map(x => l+x*(r-l));
-  return [x1, x2];
-}
-
-function getRenderNTRange(genomeID) {
-  if(!percentScale) return renderWindow;
-  let [l,r] = calcXBounds();
-  let [start, end] = getRenderXRangeForFrac().map(x => (x-xDisps[genomeID])/scaleFactor);
-  return [clamp(start,0,genomeMax), clamp(end,0,genomeMax)];
-}
-
-/*
- *  Resets viewport if outside bounds of the view window, with padding on each end
- */
-function bindViewportToWindow() {
-  let vpt = canvas.viewportTransform;
-  let [l,r] = calcXBounds();
-  if(vpt[4] > 250 - l) {
-    vpt[4] = 250 - l;
-  } else if(vpt[4] < canvas.getWidth() - r - 125) {
-    vpt[4] = canvas.getWidth() - r - 125;
-  }
-}
-
-/*
- *  @returns array [min, max] where
- *    min = x-start of the leftmost genome, max = x-end of the rightmost genome
- */
-function calcXBounds() {
-  let min = 9*(10**9), max = -9*(10**9);
-  for(let g in xDisps) {
-    if(xDisps[g] > max) max = xDisps[g];
-    if(xDisps[g] < min) min = xDisps[g];
-  }
-  return [min, max + scaleFactor*genomeMax];
-}
-
-/*
- *  Replaces nt scale with a 0-1 proportional scale
- */
-function setPercentScale() {
-  percentScale = true;
-  drawScale();
-}
-
-function drawScale() {
-  let scaleWidth = canvas.getWidth();
-  let scaleHeight = 100;
-  let domain = percentScale ? [0,1] : [0,genomeMax];
-  let xScale = d3.scale.linear().range([0, scaleWidth]).domain(domain);
-  let scaleAxis = d3.svg.axis()
-              .scale(xScale)
-              .tickSize(scaleHeight);
-  let scaleArea = d3.svg.area()
-              .interpolate("monotone")
-              .x(function(d) { return xScale(d); })
-              .y0(scaleHeight)
-              .y1(0);
-  brush = d3.svg.brush()
-              .x(xScale)
-              .on("brushend", onBrush);
-
-  $('#scaleSvg').empty();
-  let scaleBox = d3.select("#scaleSvg").append("g")
-              .attr("id", "scaleBox")
-              .attr("class","scale")
-              .attr("y", 230)
-              .attr("transform", percentScale ? "translate(10,0)" : "translate(5,0)");
-
-  scaleBox.append("g")
-              .attr("id", "scaleMarkers")
-              .attr("class", "x axis top noselect")
-              .attr("transform", "translate(0,0)")
-              .call(scaleAxis);
-
-  scaleBox.append("g")
-              .attr("class", "x brush")
-              .call(brush)
-              .selectAll("rect")
-              .attr("y", 0)
-              .attr("height", scaleHeight);
-
-  $("#scaleSvg").attr("width", percentScale ? scaleWidth + 20 : scaleWidth + 10);
-
-  function onBrush(){
-      var b = brush.empty() ? xScale.domain() : brush.extent();
-
-      if (brush.empty()) {
-          $('.btn-selection-sequence').addClass('disabled').prop('disabled', true);
-      } else {
-          $('.btn-selection-sequence').removeClass('disabled').prop('disabled', false);
-      }
-
-      if(!percentScale) b = [Math.floor(b[0]), Math.floor(b[1])];
-
-      $('#brush_start').val(b[0]);
-      $('#brush_end').val(b[1]);
-
-      let ntsToShow = b[1] - b[0];
-      scaleFactor = percentScale ? canvas.getWidth()/(ntsToShow*genomeMax) : canvas.getWidth()/ntsToShow;
-      updateRenderWindow();
-
-      if(dynamicScaleInterval) adjustScaleInterval();
-
-      draw();
-      let moveToX = percentScale ? getRenderXRangeForFrac()[0] : xDisplacement+scaleFactor*b[0];
-      canvas.absolutePan({x: moveToX, y: 0});
-
-      // TODO: restrict min view to 300 NTs? (or e.g. scaleFactor <= 4)
-  }
-}
-
-function getCategoryForKEGGClass(class_str) {
-  if(class_str == null) return null;
-
-  var category_name = getClassFromKEGGAnnotation(class_str);
-  return getKeyByValue(KEGG_categories, category_name);
-}
-
-function getClassFromKEGGAnnotation(class_str) {
-  return class_str.substring(17, class_str.indexOf(';', 17));
-}
-
-// https://stackoverflow.com/questions/9907419/how-to-get-a-key-in-a-javascript-object-by-its-value/36705765
-function getKeyByValue(object, value) {
-  return Object.keys(object).find(key => object[key] === value);
-}
-
-function clamp(num, min, max) {
-  return Math.min(Math.max(num, min), max);
-}
-
-function buildGenomesTable(genomes, order){
-  genomes.map(genome => {
-    var height = '50';
-    var margin = '15';
-    var template = '<tr id={genomeLabel}>' +
-                  '<td><img src="images/drag.gif" class="drag-icon" id={genomeLabel} /></td>' +
-                  '<td> {genomeLabel} </td>' +
-                  '<td>n/a</td>' +
-                  '<td>n/a</td>' +
-                  '<td>n/a</td>' +
-                  '<td><input class="input-height" type="text" size="3" id="height{id}" value="{height}"></input></td>' +
-                  '<td class="column-margin"><input class="input-margin" type="text" size="3" id="margin{id}" value="{margin}"></input></td>' +
-                  '<td>n/a</td>' +
-                  '<td>n/a</td>' +
-                  '<td><input type="checkbox" class="layer_selectors"></input></td>' +
-                  '</tr>';
-    let genomeLabel= Object.keys(genome[1]['contigs']['info']);
-
-    template = template.replace(new RegExp('{height}', 'g'), height)
-                       .replace(new RegExp('{margin}', 'g'), margin)
-                       .replace(new RegExp('{genomeLabel}', 'g'), genomeLabel);
-
-    $('#tbody_genomes').append(template);
-  })
-
-  $("#tbody_genomes").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).disableSelection();
-
-  $("#tbody_genomes").on("sortupdate", (event, ui) => {
-    changeGenomeOrder($("#tbody_genomes").sortable('toArray'))
-  })
-}
-
-function buildGroupLayersTable(layerLabel){
-  var height = '50';
-  var margin = '25';
-  var template = '<tr id={layerLabel}>' +
-                  '<td><img src="images/drag.gif" class="drag-icon" id={layerLabel} /></td>' +
-                  '<td> {layerLabel} </td>' +
-                  '<td><div id="{layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: #FFFFFF" color="#FFFFFF"></div></td>' +
-                  '<td>n/a</td>' +
-                  '<td>n/a</td>' +
-                  '<td><input type="checkbox" class="additional_selectors" id={layerLabel}-show onclick="toggleAdditionalDataLayer(event)" checked=true></input></td>' +
-                  '</tr>';
-  template = template.replace(new RegExp('{height}', 'g'), height)
-                     .replace(new RegExp('{margin}', 'g'), margin)
-                     .replace(new RegExp('{layerLabel}', 'g'), layerLabel);
-  $('#tbody_additionalDataLayers').append(template);
-  $("#tbody_additionalDataLayers").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).disableSelection();
-
-  $("#tbody_additionalDataLayers").on("sortupdate", (event, ui) => {
-    changeGroupLayersOrder($("#tbody_additionalDataLayers").sortable('toArray'))
-  })
-}
-
-function toggleAdditionalDataLayer(e){
-  let layer = e.target.id.split('-')[0]
-
-  if(e.target.checked){
-    stateData['display']['additionalDataLayers'][layer] = true
-    maxGroupSize += 1
-  } else {
-    stateData['display']['additionalDataLayers'][layer] = false
-    maxGroupSize -= 1 // decrease group height if hiding the layer
-  }
-  draw()
-}
-
-/*
- *  respond to ui, redraw with updated group layer order
- */
-function changeGroupLayersOrder(updatedOrder){
-  stateData['group-layer-order'] = updatedOrder
-  draw()
-}
-
-/*
- *  respond to ui, redraw with updated genome group order
- */
-function changeGenomeOrder(updatedOrder){
-  let newGenomeOrder = []
-  updatedOrder.map(label => {
-    genomeData.genomes.map(genome => {
-        if(label == Object.keys(genome[1]['contigs']['info'])[0]){ // matching label text to first contig name of each genome
-          newGenomeOrder.push(genome)
-        }
-    })
-  })
-  genomeData.genomes = newGenomeOrder
-  draw()
-}
-
-/*
- *  Save NT length of the largest genome in `genomeMax`.
- */
-function calculateMaxGenomeLength(){
-  for(genome of genomeData.genomes) {
-    genome = genome[1].genes.gene_calls;
-    let genomeEnd = genome[Object.keys(genome).length-1].stop;
-    if(genomeEnd > genomeMax) genomeMax = genomeEnd;
-  }
-}
-
-function calculateMainCanvasHeight(){ // to be used for setting vertical spacing
-  let additionalSpacing = 100 // arbitrary additional spacing for cosmetics
-  let mainCanvasHeight =  spacing * genomeData.genomes.length + additionalSpacing
-  return mainCanvasHeight
-}
-
-/*
- *  Dynamically set scale tick interval based on scaleFactor.
- */
-function adjustScaleInterval() {
-  let val = Math.floor(100/scaleFactor);
-  let roundToDigits = Math.floor(Math.log10(val)) - 1;
-  let newInterval = Math.floor(val/(10**roundToDigits)) * (10**roundToDigits);
-  scaleInterval = newInterval;
-  $('#genome_scale_interval').val(scaleInterval);
-}
-
-/*
- *  Update scale info to match viewport location.
- */
-function updateScalePos() {
-  let [newStart, newEnd] = percentScale ? getFracForVPT() : getNTRangeForVPT();
-  brush.extent([newStart, newEnd]);
-  brush(d3.select(".brush").transition());
-  $('#brush_start').val(newStart);
-  $('#brush_end').val(newEnd);
-}
-
-/*
- *  Update render window based on scale box position
- */
-function updateRenderWindow() {
-  if(percentScale) {
-    let resolution = 4; // # decimals to show for renderw window
-    let [start, end] = [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())];
-    let diff = end - start > 0.1 ? Math.round(10**resolution*(end - start) / 2)/10**resolution : 0.05;
-    renderWindow = [clamp(start - diff, 0, 1), clamp(end + diff, 0, 1)];
-  } else {
-    let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-    let diff = end - start > 10000 ? Math.floor((end - start)/2) : 5000;
-    renderWindow = [clamp(start - diff, 0, genomeMax), clamp(end + diff, 0, genomeMax)];
-  }
-}
-
-/*
- *  capture user bookmark values and store obj in state
- */
-function createBookmark(){
-  if(!$('#create_bookmark_input').val()){
-    alert('please provide a name for your bookmark :)')
-    return
-  }
-  try {
-    stateData['display']['bookmarks'].push(
-      {
-        name : $('#create_bookmark_input').val(),
-        start : $('#brush_start').val(),
-        stop : $('#brush_end').val(),
-        description : $('#create_bookmark_description').val(),
-      }
-    )
-    alert('bookmark successfully created :)')
-  } catch (error) {
-    alert(`anvi'o was unable to save your bookmark because of an error ${error} :/`)
-    // throw to error landing page?
-  }
-}
-/*
- *  update sequence position, bookmark description upon user select from dropdown
- */
-function respondToBookmarkSelect(){
-  $('#bookmarks-select').change(function(e){
-    let [start, stop] = [$(this).val().split(',')[0], $(this).val().split(',')[1] ]
-    $('#brush_start').val(start);
-    $('#brush_end').val(stop);
-    brush.extent([start, stop]);
-        brush(d3.select(".brush").transition());
-        brush.event(d3.select(".brush").transition());
-    let selectedBookmark = stateData['display']['bookmarks'].find(bookmark => bookmark.start == start && bookmark.stop == stop)
-    $('#bookmark-description').text(selectedBookmark['description'])
-  })
-}
-
-/*
- *  adds an alternating shade to each genome group for easier visual distinction amongst adjacent groups
- */
-function addBackgroundShade(top, left, width, height, orderIndex){
-  let backgroundShade;
-  orderIndex % 2 == 0 ? backgroundShade = '#b8b8b8' : backgroundShade = '#f5f5f5'
-
-  let background = new fabric.Rect({
-    groupID: genomeData.genomes[orderIndex][0],
-    top: top,
-    left: left,
-    width: width,
-    height: height,
-    fill: backgroundShade,
-    selectable: false,
-    opacity : .5
-  });
-  canvas.add(background)
-  canvas.sendToBack(background)
-}
-var fixHelperModified = function(e, tr) { // ripped from utils.js instead of importing the whole file
-  var $originals = tr.children();
-  var $helper = tr.clone();
-  $helper.children().each(function(index) {
-      $(this).width($originals.eq(index).width());
-  });
-  return $helper;
-};
-
-/*
- *  [TO BE ADDED TO 'regular' utils.js since it can be used in the inspect page]
- *  @returns array of functional annotation types from table in `genomeData`
- */
-function getFunctionalAnnotations() {
-  return Object.keys(genomeData.genomes[0][1].genes.functions[0]);
-}
-
-/*
- *  [TO BE ADDED TO 'regular' utils.js]
- *  @returns relevant category:color dict from constants.js for a given functional annotation
- */
-function getColorDefaults(fn_type) {
-  switch(fn_type) {
-    case 'COG_CATEGORY':
-      return default_COG_colors;
-    case 'KEGG_CATEGORY':
-      return default_KEGG_colors;
-    case 'Source':
-      return default_source_colors;
-    default:
-      // user-supplied color table
-      return getCustomColorDict(fn_type);
-  }
-}
-
-/*
- *  [TO BE ADDED TO 'regular' utils.js]
- *  @returns arbitrary category:color dict given a list of categories
- */
-function getCustomColorDict(fn_type) {
-  if(!Object.keys(genomeData.genomes[0][1].genes.functions[0]).includes(fn_type)) return null;
-
-  let cags = [];
-  genomeData.genomes.forEach(genome => {
-    Object.values(genome[1].genes.functions).forEach(fn => {
-      let cag = getCagForType(fn, fn_type);
-      if(cag && !cags.includes(cag)) cags.push(cag);
-    });
-  });
-
-  let out = custom_cag_colors.reduce((out, field, index) => {
-    out[cags[index]] = field;
-    return out;
-  }, {});
-  delete out["undefined"];
-
-  return out;
-}
-
-/*
- *  [TO BE ADDED TO genomeview/UI.js ... OR potentially 'regular' utils.js]
- *  @returns target gene's category code for a given functional annotation type.
- */
-function getCagForType(geneFunctions, fn_type) {
-  switch(fn_type) {
-    case 'COG_CATEGORY':
-      return geneFunctions && geneFunctions[fn_type] ? geneFunctions[fn_type][1][0] : null;
-    case 'KEGG_CATEGORY':
-      // TODO
-      return null;
-    default:
-      let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][1] : null;
-      if(out && out.indexOf(',') != -1) out = out.substr(0,out.indexOf(',')); // take first cag in case of a comma-separated list
-      if(out && out.indexOf(';') != -1) out = out.substr(0,out.indexOf(';')); // or semicolon-separated
-      return out;
-  }
-}
-
-/*
- *  [TO BE ADDED TO 'regular' utils.js]
- *  @returns category name corresponding to a given single-character code, for the approporiate functional annotation type
- */
-function getCagName(category, fn_type) {
-  switch(fn_type) {
-    case 'COG_CATEGORY':
-      return COG_categories[category];
-    case 'KEGG_CATEGORY':
-      return KEGG_categories[category];
-    default:
-      return category;
-  }
-}
-
-/*
- *  [TO BE ADDED TO 'regular' utils.js]
- *  Generates functional annotation color table for a given color palette.
- *
- *  @param fn_colors :       dict matching each category to a hex color code to override defaults
- *  @param fn_type :         string indicating function category type: currently one of "COG_CATEGORY", "KEGG_CATEGORY", "Source"
- *  @param highlight_genes : array of format [{genomeID: 'g01', geneID: 3, color: '#FF0000'}, ...] to override other coloring for specific genes
- *  @param filter_to_split : if true, filters categories to only those shown in the split
- */
-function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_split=true) {
-  // TODO: consider call_type? see inspectionalutils.js for how this was dealt with earlier
-
-  let db = getColorDefaults(fn_type ? fn_type : 'Source');
-  if(db == null) return;
-  // Override default values with any values supplied to fn_colors
-  if(fn_colors) db = Object.keys(db).map(cag => Object.keys(fn_colors).includes(cag) ? fn_colors[cag] : db[cag]);
-
-  if(filter_to_split && fn_type != 'Source') {
-    let save = [];
-    for(genome of genomeData.genomes) {
-      let geneFuns = Object.values(genome[1].genes.functions);
-      for(funs of geneFuns) {
-        let cag = getCagForType(funs, fn_type);
-        if(cag && !save.includes(cag)) save.push(cag);
-      }
-    }
-    Object.keys(db).forEach((cag, color) => {
-      if(!save.includes(cag)) delete db[cag];
-    });
-  }
-
-  $('#tbody_function_colors').empty();
-  Object.keys(db).forEach(category => appendColorRow(getCagName(category, fn_type), category, db[category]) );
-
-  $('.colorpicker').colpick({
-      layout: 'hex',
-      submit: 0,
-      colorScheme: 'light',
-      onChange: function(hsb, hex, rgb, el, bySetColor) {
-          $(el).css('background-color', '#' + hex);
-          $(el).attr('color', '#' + hex);
-          // TODO: save new color once state is implemented
-          //state[$('#gene_color_order').val().toLowerCase() + '-colors'][el.id.substring(7)] = '#' + hex;
-          if (!bySetColor) $(el).val(hex);
-      }
-  }).keyup(function() {
-      $(this).colpickSetColor(this.value);
-  });
-
-  if(highlight_genes) {
-    let genomes = Object.entries(genomeData.genomes).map(g => g[1][0]);
-    for(entry of highlight_genes) {
-      let genomeID = entry['genomeID'];
-      let geneID = entry['geneID'];
-      let color = entry['color'];
-
-      if(!genomes.includes(genomeID)) continue;
-
-      let ind = genomeData.genomes.findIndex(g => g[0] == genomeID);
-      let genes = Object.keys(genomeData.genomes[ind][1].genes.gene_calls);
-      if(!(geneID in genes)) continue;
-
-      let label = 'Genome: ' + genomeID + ', Gene: ' + geneID;
-      appendColorRow(label, genomeID + '-' + geneID, color, prepend=true);
-    }
-    $('colorpicker').colpick({
-        layout: 'hex',
-        submit: 0,
-        colorScheme: 'light',
-        onChange: function(hsb, hex, rgb, el, bySetColor) {
-            $(el).css('background-color', '#' + hex);
-            $(el).attr('color', '#' + hex);
-            //state['highlight-genes'][el.id.substring(7)] = '#' + hex;
-            if (!bySetColor) $(el).val(hex);
-        }
-    }).keyup(function() {
-        $(this).colpickSetColor(this.value);
-    });
-  }
-}
-
-/*
- *  [TO BE ADDED TO 'regular' utils.js]
- */
-function appendColorRow(label, cag, color, prepend=false) {
-  let code = cag.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_');
-  var tbody_content =
-   '<tr id="picker_row_' + code + '"> \
-      <td></td> \
-      <td> \
-        <div id="picker_' + code + '" class="colorpicker" color="' + color + '" background-color="' + color + '" style="background-color: ' + color + '; margin-right:16px; margin-left:16px"></div> \
-      </td> \
-      <td>' + label + '</td> \
-    </tr>';
-
-  if(prepend) {
-    $('#tbody_function_colors').prepend(tbody_content);
-  } else {
-    $('#tbody_function_colors').append(tbody_content);
-  }
-}
-
-/*
- * [TO BE ADDED to genomeview/UI.js OR 'regular' utils.js]
- * Resets function color table to the default set
- *
- * @param fn_colors: If set, resets state to this dictionary instead of the defaults.
- */
-function resetFunctionColors(fn_colors=null) {
-  // TODO: this should reset color dictionaries in state and then redraw table, once state is implemented
-  if($('#gene_color_order') == null) return;
-  generateColorTable(fn_colors, color_db);
-}

From 2791ea569d7f0bf2482e5910b6a95543ed708684 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 28 Aug 2022 20:38:07 -0500
Subject: [PATCH 0781/1020] fix batch coloring and label pickers

---
 anvio/data/interactive/js/genomeview/main.js |  5 ++-
 anvio/data/interactive/js/genomeview/ui.js   | 41 +++++++++++++++++++-
 2 files changed, 42 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index ef306e8eb2..6547b5dc79 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -124,6 +124,7 @@ function loadAdditionalDataLayers(){
       settings['display']['colors'] = {}
       settings['display']['colors']['genes'] = {}
       settings['display']['colors']['genes']['annotations'] = {}
+      settings['display']['colors']['Batch'] = '#FFFFFF';
       settings['display']['layers'] = {}
       settings['display']['labels'] = {}
       settings['display']['labels']['set-labels'] = {}
@@ -201,10 +202,10 @@ function serializeSettings() {
   state['display']['gene-shade-style'] = $('#shade_by').val()
   state['display']['show-genome-labels'] = $('#show_genome_labels_box').is(':checked')
   state['display']['genome-label-size'] = $('#genome_label').val()
-  state['display']['genome-label-color'] = $('#genome_label_color').attr(':color')
+  state['display']['colors']['genome-label'] = $('#genome_label_color').attr(':color')
   state['display']['show-gene-labels'] = $('#show_gene_labels_box').is(':checked')
   state['display']['gene-label-size'] = $('#gene_label').val()
-  state['display']['gene-label-color'] = $('#gene_label_color').attr(':color')
+  state['display']['colors']['gene-label'] = $('#gene_label_color').attr(':color')
   state['display']['gene-text-position'] = $('#gene_text_pos').val()
   state['display']['gc-window-size'] = $('#gc_window_size').val()
   state['display']['gc-step-size'] = $('#gc_step_size').val()
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 2af104fa47..973a105c03 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -260,6 +260,43 @@ function setEventListeners(){
       brush.event(d3.select(".brush").transition());
     }
   });
+  $('#batch_colorpicker').colpick({
+      layout: 'hex',
+      submit: 0,
+      colorScheme: 'light',
+      onChange: function(hsb, hex, rgb, el, bySetColor) {
+          $(el).css('background-color', '#' + hex);
+          $(el).attr('color', '#' + hex);
+          settings['display']['colors']['Batch'] = '#' + hex;
+          if (!bySetColor) $(el).val(hex);
+      }
+  }).keyup(function() {
+      $(this).colpickSetColor(this.value);
+  });
+  $('#genome_label_color').colpick({
+      layout: 'hex',
+      submit: 0,
+      colorScheme: 'light',
+      onChange: function(hsb, hex, rgb, el, bySetColor) {
+          $(el).css('background-color', '#' + hex);
+          $(el).attr('color', '#' + hex);
+          if (!bySetColor) $(el).val(hex);
+      }
+  }).keyup(function() {
+      $(this).colpickSetColor(this.value);
+  });
+  $('#gene_label_color').colpick({
+      layout: 'hex',
+      submit: 0,
+      colorScheme: 'light',
+      onChange: function(hsb, hex, rgb, el, bySetColor) {
+          $(el).css('background-color', '#' + hex);
+          $(el).attr('color', '#' + hex);
+          if (!bySetColor) $(el).val(hex);
+      }
+  }).keyup(function() {
+      $(this).colpickSetColor(this.value);
+  });
 
   $('#brush_start').val(0);
   $('#brush_end').val(Math.floor(canvas.getWidth()));
@@ -1326,12 +1363,12 @@ function resetFunctionColors(fn_colors=null) {
  */
  function batchColor() {
      var rule = $('[name=batch_rule]:checked').val()
-     var color = $('#batch_colorpicker').attr('color');
+     var color = settings['display']['colors']['Batch'];
      var randomize_color = $('#batch_randomcolor').is(':checked');
 
      let fn_type = $('#gene_color_order').val();
      let dict = getCustomColorDict(fn_type);
-     if(Object.keys(counts).includes("Other")) dict["Other"] = $("#picker_Other").attr('color') ? $("#picker_Other").attr('color') : "#FFFFFF";
+     if(counts && Object.keys(counts).includes("Other")) dict["Other"] = $("#picker_Other").attr('color') ? $("#picker_Other").attr('color') : "#FFFFFF";
 
      Object.keys(dict).forEach(category => {
        if(randomize_color) {

From 258c16c9929da9ed9d6b8803b0ffb91624fb44be Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 10 Oct 2022 03:54:00 -0500
Subject: [PATCH 0782/1020] Revert "populate `self.inversions`"

This reverts commit c7bf3a28f3e8eee45e2a7e02b2f33d6b5236f54b.
---
 anvio/inversions.py | 20 --------------------
 1 file changed, 20 deletions(-)

diff --git a/anvio/inversions.py b/anvio/inversions.py
index 7c0561aaa7..c3761b832a 100644
--- a/anvio/inversions.py
+++ b/anvio/inversions.py
@@ -465,26 +465,6 @@ def process_db(self, entry_name, profile_db_path, bam_file_path):
 
                         self.inversions[entry_name].append(d)
 
-                    d = OrderedDict({'entry_id': true_inversion.sequence_name,
-                                     'sample_name': entry_name,
-                                     'contig_name': contig_name,
-                                     'first_seq': true_inversion.first_sequence,
-                                     'midline': true_inversion.midline,
-                                     'second_seq': utils.rev_comp(true_inversion.second_sequence),
-                                     'first_start': true_inversion.first_start + start,
-                                     'first_end': true_inversion.first_end + start,
-                                     'second_start': true_inversion.second_start + start,
-                                     'second_end': true_inversion.second_end + start,
-                                     'num_mismatches': true_inversion.num_mismatches,
-                                     'num_gaps': true_inversion.num_gaps,
-                                     'length': true_inversion.length,
-                                     'distance': true_inversion.distance})
-
-                    if contig_name not in self.inversions[entry_name]:
-                        self.inversions[entry_name][contig_name] = {}
-
-                    self.inversions[entry_name][contig_name][start] = d
-
         self.progress.end()
 
         self.run.info(f"[Inversions found] In sample {entry_name}", f"{len(self.inversions[entry_name])}", lc="yellow")

From 40168190d42d8a43de682af9a7d10ef1a1bc3a45 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 28 Feb 2023 01:50:55 -0600
Subject: [PATCH 0783/1020] zoom in/out buttons work for percent scale

---
 .../interactive/js/genomeview/navigation.js   | 54 ++++++++++++++-----
 1 file changed, 40 insertions(+), 14 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 9056041bbf..c515adcd1e 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -24,17 +24,30 @@
  */
 
  function zoomIn() {
-    let start = parseInt($('#brush_start').val()), end = parseInt($('#brush_end').val());
+    let start = percentScale ? parseFloat($('#brush_start').val()) : parseInt($('#brush_start').val());
+    let end = percentScale ? parseFloat($('#brush_end').val()) : parseInt($('#brush_end').val());
     let newStart, newEnd;
 
     let len = end - start;
-    if(len > 4*genomeMax/50) {
-      newStart = Math.floor(start + genomeMax/50), newEnd = Math.floor(end - genomeMax/50);
+
+    if(percentScale){
+      if(len > 0.08) {
+        newStart = start+0.02, newEnd = end-0.02;
+      } else {
+        if(len < 0.02) return;
+        newStart = start+len/4;
+        newEnd = end-len/4;
+        if(newEnd - newStart <= 0) return;
+      }
     } else {
-      if(len < 50) return;
-      newStart = Math.floor(start + len/4);
-      newEnd = Math.floor(end - len/4);
-      if(newEnd - newStart <= 0) return;
+      if(len > 4*genomeMax/50) {
+        newStart = Math.floor(start + genomeMax/50), newEnd = Math.floor(end - genomeMax/50);
+      } else {
+        if(len < 50) return;
+        newStart = Math.floor(start + len/4);
+        newEnd = Math.floor(end - len/4);
+        if(newEnd - newStart <= 0) return;
+      }
     }
 
     brush.extent([newStart, newEnd]);
@@ -44,16 +57,23 @@
 
   function zoomOut(type, start, end) {
     let newStart, newEnd
+
     if(type && type == 'fully'){
       newStart = 0
-      newEnd = genomeMax
+      newEnd = percentScale ? 1 : genomeMax
     } else if(type && type == 'partial'){
-      newStart = start - 10000
-      newEnd = end + 10000
+      newStart = start - (percentScale ? .02 : 10000)
+      newEnd = end + (percentScale ? .02 : 10000)
     }else {
-      let start = parseInt($('#brush_start').val()), end = parseInt($('#brush_end').val());
-      newStart = start - genomeMax/50;
-      newEnd = end + genomeMax/50;
+      if(percentScale) {
+        let start = parseFloat($('#brush_start').val());
+        let end = parseFloat($('#brush_end').val());
+        newStart = start - 0.02, newEnd = end + 0.02;
+      } else {
+        let start = parseInt($('#brush_start').val());
+        let end = parseInt($('#brush_end').val());
+        newStart = start - genomeMax/50, newEnd = end + genomeMax/50;
+      }
       if(newStart == 0 && newEnd == genomeMax) { // for extra-zoomed-out view
         scaleFactor = 0.01;
         if(dynamicScaleInterval) adjustScaleInterval();
@@ -62,7 +82,13 @@
       }
     }
     if(newStart < 0) newStart = 0;
-    if(newEnd > genomeMax) newEnd = genomeMax;
+    if(newEnd > genomeMax) {
+      if(percentScale) {
+        newEnd = 1;
+      } else {
+        newEnd = genomeMax;
+      }
+    }
 
     brush.extent([newStart, newEnd]);
     brush(d3.select(".brush").transition());

From 4b7e1021b5d92f432d88599493f8f3b326180184 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 28 Feb 2023 01:52:40 -0600
Subject: [PATCH 0784/1020] cleaner

---
 anvio/data/interactive/js/genomeview/navigation.js | 8 +-------
 1 file changed, 1 insertion(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index c515adcd1e..fa00e4d0b8 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -82,13 +82,7 @@
       }
     }
     if(newStart < 0) newStart = 0;
-    if(newEnd > genomeMax) {
-      if(percentScale) {
-        newEnd = 1;
-      } else {
-        newEnd = genomeMax;
-      }
-    }
+    if(newEnd > genomeMax) newEnd = percentScale ? 1 : genomeMax;
 
     brush.extent([newStart, newEnd]);
     brush(d3.select(".brush").transition());

From ca0684b0bdad3aec63a87bc393199e099fadaf96 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 28 Feb 2023 01:55:55 -0600
Subject: [PATCH 0785/1020] fix

---
 anvio/data/interactive/js/genomeview/navigation.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index fa00e4d0b8..6adef894d2 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -82,7 +82,7 @@
       }
     }
     if(newStart < 0) newStart = 0;
-    if(newEnd > genomeMax) newEnd = percentScale ? 1 : genomeMax;
+    newEnd = clamp(newEnd, 0, percentScale ? 1 : genomeMax);
 
     brush.extent([newStart, newEnd]);
     brush(d3.select(".brush").transition());

From 1e53643c94d3f772eb9709cf5b5947f417b8cfc4 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 28 Feb 2023 02:15:47 -0600
Subject: [PATCH 0786/1020] scroll zooming works for percent scale

---
 anvio/data/interactive/js/genomeview/ui.js | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 973a105c03..86bfc7b6c2 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -104,11 +104,14 @@ function setEventListeners(){
     var delta = opt.e.deltaY;
     let tmp = scaleFactor * (0.999 ** delta);
     let diff = tmp - scaleFactor;
-    let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-    let [newStart, newEnd] = [Math.floor(start - diff * genomeMax), Math.floor(end + diff * genomeMax)];
+    let [start, end] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())] 
+                                    : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+    let [newStart, newEnd] = percentScale ? [Math.floor((start - diff)*10000)/10000, Math.floor((end + diff)*10000)/10000]
+                                          : [Math.floor(start - diff * genomeMax), Math.floor(end + diff * genomeMax)];
     if (newStart < 0) newStart = 0;
-    if (newEnd > genomeMax) newEnd = genomeMax;
-    if (newEnd - newStart < 50) return;
+    newEnd = clamp(newEnd, 0, percentScale ? 1 : genomeMax);
+    if(percentScale && newEnd - newStart < 0.02) return;
+    if(!percentScale && newEnd - newStart < 50) return;
 
     brush.extent([newStart, newEnd]);
     brush(d3.select(".brush").transition()); // if zoom is slow or choppy, try removing .transition()

From 3451f426748cadc2126ab156f1bdc259ab2911d7 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 8 Mar 2023 18:04:09 -0600
Subject: [PATCH 0787/1020] restore viewport/scale on new loadAll and dispose
 old canvas

---
 anvio/data/interactive/js/genomeview/main.js  | 128 +++++++++++++++++-
 anvio/data/interactive/js/genomeview/ui.js    |   7 +-
 anvio/data/interactive/js/genomeview/utils.js | 106 ---------------
 3 files changed, 128 insertions(+), 113 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 6547b5dc79..df28315e01 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -168,6 +168,7 @@ function loadState() {
       try {
         processState(state_name, response['content']);
         loadAll('reload')
+        setEventListeners() // this needs to be called a second time on reload for some reason...
       } catch (e) {
         console.error("Exception thrown", e.stack);
         toastr.error('Failed to parse state data, ' + e);
@@ -181,6 +182,112 @@ function loadState() {
   })
 }
 
+function showSaveStateWindow(){
+  $.ajax({
+      type: 'GET',
+      cache: false,
+      url: '/state/all',
+      success: function(state_list) {
+          $('#saveState_list').empty();
+
+          for (let state_name in state_list) {
+              var _select = "";
+              if (state_name == current_state_name)
+              {
+                  _select = ' selected="selected"';
+              }
+              $('#saveState_list').append('<option ' + _select + '>' + state_name + '</option>');
+          }
+
+          $('#modSaveState').modal('show');
+          if ($('#saveState_list').val() === null) {
+              $('#saveState_name').val('default');
+          } else {
+              $('#saveState_list').trigger('change');
+          }
+      },
+      error: function(error){
+        console.log('got an error', error)
+      }
+  });
+}
+
+function showLoadStateWindow(){
+  $.ajax({
+      type: 'GET',
+      cache: false,
+      url: '/state/all',
+      success: function(state_list) {
+          $('#loadState_list').empty();
+
+          for (let state_name in state_list) {
+              $('#loadState_list').append('<option lastmodified="' + state_list[state_name]['last_modified'] + '">' + state_name + '</option>');
+          }
+
+          $('#modLoadState').modal('show');
+      }
+  });
+}
+
+function saveState()
+{
+  var name = $('#saveState_name').val();
+
+  if (name.length==0) {
+      $('#saveState_name').focus();
+      return;
+  }
+
+  var state_exists = false;
+
+  $.ajax({
+      type: 'GET',
+      cache: false,
+      async: false,
+      url: '/state/all',
+      success: function(state_list) {
+          for (let state_name in state_list) {
+              if (state_name == name)
+              {
+                  state_exists = true;
+              }
+          }
+
+      }
+  });
+
+  if (state_exists && !confirm('"' + name + '" already exist, do you want to overwrite it?')) {
+      return;
+  }
+
+  $.ajax({
+      type: 'POST',
+      cache: false,
+      url: '/state/save/' + name,
+      data: {
+          'content': JSON.stringify(serializeSettings())
+      },
+      success: function(response) {
+          if (typeof response != 'object') {
+              response = JSON.parse(response);
+          }
+
+          if (response['status_code']==0)
+          {
+              toastr.error("Failed, Interface running in read only mode.");
+          }
+          else if (response['status_code']==1)
+          {
+              // successfull
+              $('#modSaveState').modal('hide');
+
+              current_state_name = name;
+              toastr.success("State '" + current_state_name + "' successfully saved.");
+          }
+      }
+  });
+}
+
 function serializeSettings() {
   // TODO same process as the serializeSettings() function for anvi-interactive
   // first we run through all of the UI element default values and store them as state
@@ -214,6 +321,10 @@ function serializeSettings() {
   state['display']['gene-label-source'] = $('#gene_label_source').val()
   state['display']['link-gene-label-color-source'] = $('#link_gene_label_color_source').is(':checked')
   state['display']['annotation-color-dict'] = []
+  state['display']['viewportTransform'] = canvas.viewportTransform[4];
+  state['display']['nt_window'] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+  state['display']['scaleFactor'] = scaleFactor;
+  state['display']['percentScale'] = percentScale;
 
   $('.annotation_color').each((idx, row) => {
     let color = $(row).attr('color')
@@ -284,11 +395,16 @@ function processState(stateName, stateData) {
   settings['group-layer-order'].map(layer => {
     buildGroupLayersTable(layer)
   })
+
+  settings['display']['viewportTransform'] = stateData?.['display']?.['viewportTransform']
+  settings['display']['nt_window'] = stateData?.['display']?.['nt_window']
+  percentScale = stateData?.['display']?.['percentScale']
+  scaleFactor = stateData?.['display']?.['scaleFactor']
 }
 
 function loadAll(loadType) {
+  if(canvas) canvas.dispose(); // clear old canvas in fabric if we are calling loadAll from loadState (bugs here cause mismatch b/w 'this' and 'canvas')
   canvas = new fabric.Canvas('myCanvas');
-  canvas.clear() // clear existing canvas if loadAll is being called from loadState
   canvas.setWidth(VIEWER_WIDTH * 0.85);
 
   $('.container').css({ 'height': VIEWER_HEIGHT + 'px', 'overflow-y': 'auto' })
@@ -326,7 +442,15 @@ function loadAll(loadType) {
   setEventListeners()
 
   buildGeneLabelsSelect()
-  brush.extent([parseInt($('#brush_start').val()), parseInt($('#brush_end').val())]);
+  let [start, stop] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+  if(loadType == 'reload') {
+    [start, stop] = settings['display']['nt_window'];
+    $('#brush_start').val(start);
+    $('#brush_end').val(stop);
+    canvas.viewportTransform[4] = settings['display']['viewportTransform'];
+    canvas.setViewportTransform(canvas.viewportTransform);
+  }
+  brush.extent([start, stop]);
   brush(d3.select(".brush"));
   updateRenderWindow();
 
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 86bfc7b6c2..3e695cf3ac 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -50,7 +50,8 @@ function setEventListeners(){
       var vpt = this.viewportTransform;
       vpt[4] += e.clientX - this.lastPosX;
       bindViewportToWindow();
-      this.requestRenderAll();
+      //this.requestRenderAll();
+      this.setViewportTransform(this.viewportTransform)
       this.lastPosX = e.clientX;
 
       let [l, r] = percentScale ? getFracForVPT() : getNTRangeForVPT();
@@ -61,7 +62,6 @@ function setEventListeners(){
     }
   });
   canvas.on('mouse:up', function (opt) {
-    this.setViewportTransform(this.viewportTransform);
     if (this.isDragging) updateScalePos();
     this.isDragging = false;
     this.selection = true;
@@ -301,9 +301,6 @@ function setEventListeners(){
       $(this).colpickSetColor(this.value);
   });
 
-  $('#brush_start').val(0);
-  $('#brush_end').val(Math.floor(canvas.getWidth()));
-
   $('#deepdive-tooltip-body').hide() // set initual tooltip hide value
   $('#tooltip-body').hide()
   $('#show_genome_labels_box').attr("checked", showLabels);
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 7becfe1e5f..cb031ea2f3 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -227,112 +227,6 @@ function filterColorTable(thresh) {
   drawer.draw();
 }
 
-function showSaveStateWindow(){
-    $.ajax({
-        type: 'GET',
-        cache: false,
-        url: '/state/all',
-        success: function(state_list) {
-            $('#saveState_list').empty();
-
-            for (let state_name in state_list) {
-                var _select = "";
-                if (state_name == current_state_name)
-                {
-                    _select = ' selected="selected"';
-                }
-                $('#saveState_list').append('<option ' + _select + '>' + state_name + '</option>');
-            }
-
-            $('#modSaveState').modal('show');
-            if ($('#saveState_list').val() === null) {
-                $('#saveState_name').val('default');
-            } else {
-                $('#saveState_list').trigger('change');
-            }
-        },
-        error: function(error){
-          console.log('got an error', error)
-        }
-    });
-}
-
-function showLoadStateWindow(){
-    $.ajax({
-        type: 'GET',
-        cache: false,
-        url: '/state/all',
-        success: function(state_list) {
-            $('#loadState_list').empty();
-
-            for (let state_name in state_list) {
-                $('#loadState_list').append('<option lastmodified="' + state_list[state_name]['last_modified'] + '">' + state_name + '</option>');
-            }
-
-            $('#modLoadState').modal('show');
-        }
-    });
-}
-
-function saveState()
-{
-    var name = $('#saveState_name').val();
-
-    if (name.length==0) {
-        $('#saveState_name').focus();
-        return;
-    }
-
-    var state_exists = false;
-
-    $.ajax({
-        type: 'GET',
-        cache: false,
-        async: false,
-        url: '/state/all',
-        success: function(state_list) {
-            for (let state_name in state_list) {
-                if (state_name == name)
-                {
-                    state_exists = true;
-                }
-            }
-
-        }
-    });
-
-    if (state_exists && !confirm('"' + name + '" already exist, do you want to overwrite it?')) {
-        return;
-    }
-
-    $.ajax({
-        type: 'POST',
-        cache: false,
-        url: '/state/save/' + name,
-        data: {
-            'content': JSON.stringify(serializeSettings())
-        },
-        success: function(response) {
-            if (typeof response != 'object') {
-                response = JSON.parse(response);
-            }
-
-            if (response['status_code']==0)
-            {
-                toastr.error("Failed, Interface running in read only mode.");
-            }
-            else if (response['status_code']==1)
-            {
-                // successfull
-                $('#modSaveState').modal('hide');
-
-                current_state_name = name;
-                toastr.success("State '" + current_state_name + "' successfully saved.");
-            }
-        }
-    });
-}
-
 function toggleRightPanel(name) {
   ['#mouseover_panel', '#settings-panel', '#query-panel'].forEach(function(right_panel) {
       if (right_panel == name)

From 95e8c50559e6b08bf939e250e28402d3ad373d75 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 13 Mar 2023 00:52:24 -0500
Subject: [PATCH 0788/1020] load correct viewport frame for proportional scale

---
 anvio/data/interactive/js/genomeview/main.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index df28315e01..60f58a43d2 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -322,7 +322,7 @@ function serializeSettings() {
   state['display']['link-gene-label-color-source'] = $('#link_gene_label_color_source').is(':checked')
   state['display']['annotation-color-dict'] = []
   state['display']['viewportTransform'] = canvas.viewportTransform[4];
-  state['display']['nt_window'] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+  state['display']['nt_window'] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())] : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
   state['display']['scaleFactor'] = scaleFactor;
   state['display']['percentScale'] = percentScale;
 
@@ -442,7 +442,7 @@ function loadAll(loadType) {
   setEventListeners()
 
   buildGeneLabelsSelect()
-  let [start, stop] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+  let [start, stop] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())] : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
   if(loadType == 'reload') {
     [start, stop] = settings['display']['nt_window'];
     $('#brush_start').val(start);

From eb47bde65cb66c4a39f5a9199e3199af70553a7c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 13 Mar 2023 19:35:06 -0500
Subject: [PATCH 0789/1020] port all relevant global variables from main.js
 into state

---
 .../data/interactive/js/genomeview/drawer.js  | 41 ++++++++++---------
 anvio/data/interactive/js/genomeview/main.js  |  2 +-
 .../interactive/js/genomeview/navigation.js   |  4 +-
 anvio/data/interactive/js/genomeview/ui.js    | 34 +++++++--------
 anvio/data/interactive/js/genomeview/utils.js |  2 +-
 5 files changed, 42 insertions(+), 41 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index dd6af73019..23cd146994 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -60,7 +60,7 @@ GenomeDrawer.prototype.addLayers = function (orderIndex) {
 
   let additionalDataLayers = this.settings['additional-data-layers']['data'][genomeID]
 
-  let ptInterval = Math.floor(genomeMax / adlPtsPerLayer);
+  let ptInterval = Math.floor(genomeMax / settings['display']['adlPtsPerLayer']);
 
   this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
     if (layer == 'Genome' && $('#Genome-show').is(':checked')) {
@@ -129,8 +129,8 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
   let genomeID = genome[0];
   let y = marginTop + yOffset + layerPos + (layerHeight / 2) + (orderIndex * groupMargin) // render arrows in the center of genome layer's allotted vertical space
 
-  if (showLabels) {
-    canvas.add(new fabric.Text(genomeID, { top: y - 5, selectable: false, fontSize: genomeLabelSize, fontFamily: 'sans-serif', fontWeight: 'bold' }));
+  if (settings['display']['show-genome-labels']) {
+    canvas.add(new fabric.Text(genomeID, { top: y - 5, selectable: false, fontSize: settings['display']['genome-label-size'], fontFamily: 'sans-serif', fontWeight: 'bold' }));
   }
 
   let [start, stop] = percentScale ? getRenderXRangeForFrac() : renderWindow.map(x => x * scaleFactor + xDisps[genomeID]);
@@ -154,7 +154,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
   this.addBackgroundShade((marginTop + yOffset + layerPos + (orderIndex * groupMargin)), start, genomeMax, layerHeight, orderIndex)
 
   // draw set labels
-  if (showGeneLabels && settings['display']['labels']['gene-sets'][genomeID]) {
+  if (settings['display']['show-gene-labels'] && settings['display']['labels']['gene-sets'][genomeID]) {
     settings['display']['labels']['gene-sets'][genomeID].forEach(obj => {
       drawSetLabel(obj[0], genomeID, obj[1]);
     });
@@ -169,12 +169,12 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
     canvas.add(geneObj)
     canvas.bringToFront(geneObj);
 
-    if (showGeneLabels) {
+    if (settings['display']['show-gene-labels']) {
       var label = new fabric.IText(setGeneLabelFromSource(geneID, genomeID), {
         id: 'geneLabel',
         groupID: genomeID,
-        fontSize: geneLabelSize,
-        angle: geneLabelPos == "above" ? -1 * geneLabelAngle : 0,
+        fontSize: settings['display']['gene-label-size'],
+        angle: settings['display']['gene-text-position'] == "above" ? -1 * settings['display']['gene-text-angle'] : 0,
         left: xDisps[genomeID] + (gene.start + 50) * scaleFactor,
         scaleX: 0.5,
         scaleY: 0.5,
@@ -188,12 +188,12 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
       });
       if (this.settings['display']['arrow-style'] == 3) {
         label.set({
-          top: geneLabelPos == "inside" ? y + 15 - geneLabelSize / 2 : y - 10 - geneLabelSize / 2,
+          top: settings['display']['gene-text-position'] == "inside" ? y + 15 - settings['display']['gene-label-size'] / 2 : y - 10 - settings['display']['gene-label-size'] / 2,
           selectionColor: 'rgba(128,128,128,.5)'
         });
       } else {
         label.set({
-          top: y - 10 - geneLabelSize / 2,
+          top: y - 10 - settings['display']['gene-label-size'] / 2,
           selectionColor: 'rgba(128,128,128,.2)'
         });
       }
@@ -242,11 +242,11 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
     // assume gene IDs form contiguous list
     let geneObjs = geneIDs.map(geneID => settings['genomeData']['genomes'].find(obj => obj[0] == genomeID)[1].genes.gene_calls[geneID]);
     let x_set_label = geneObjs[0].start + (geneObjs[geneObjs.length - 1].stop - geneObjs[0].start) / 2;
-    let y_set_label = y - 10 - geneLabelSize;
+    let y_set_label = y - 10 - settings['display']['gene-label-size'];
     var set_label = new fabric.IText(title, {
       id: 'setLabel',
       groupID: genomeID,
-      fontSize: geneLabelSize,
+      fontSize: settings['display']['gene-label-size'],
       left: xDisps[genomeID] + x_set_label * scaleFactor,
       top: y_set_label,
       scaleX: 0.5,
@@ -355,7 +355,7 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function (genomeID, layerPos, laye
   let [l, r] = getRenderNTRange(genomeID);
   for (let i = 0; i < nRulers; i++) {
     let ruler = new fabric.Group();
-    for (; w < (i + 1) * genomeMax / nRulers; w += scaleInterval) {
+    for (; w < (i + 1) * genomeMax / nRulers; w += settings['display']['genome-scale-interval']) {
       if (w < l) continue;
       if (w > r) break;
       let tick = new fabric.Line([0, 0, 0, 20], {
@@ -683,7 +683,8 @@ GenomeDrawer.prototype.setPtsPerADL = function (newResolution) {
     alert(`Invalid value, genome spacing must be in range 0-${genomeMax}.`);
     return;
   }
-  adlPtsPerLayer = newResolution;
+  settings['display']['adlPtsPerLayer'] = newResolution;
+  console.log(settings['display']['adlPtsPerLayer'])
   this.draw();
 }
 
@@ -723,7 +724,7 @@ GenomeDrawer.prototype.setScaleInterval = function (newScale) {
     alert(`Invalid value, scale interval must be >=50.`);
     return;
   }
-  scaleInterval = newScale;
+  settings['display']['genome-scale-interval'] = newScale;
   this.draw();
 }
 
@@ -734,8 +735,8 @@ GenomeDrawer.prototype.setGeneLabelSize = function (newSize) {
     alert(`Invalid value, gene label size must be in range 0-1000.`);
     return;
   }
-  geneLabelSize = newSize;
-  if (showGeneLabels) this.draw();
+  settings['display']['gene-label-size'] = newSize;
+  if (settings['display']['show-gene-labels']) this.draw();
 }
 
 GenomeDrawer.prototype.setGenomeLabelSize = function (newSize) {
@@ -745,8 +746,8 @@ GenomeDrawer.prototype.setGenomeLabelSize = function (newSize) {
     alert(`Invalid value, genome label size must be in range 0-1000.`);
     return;
   }
-  genomeLabelSize = newSize;
-  if (showLabels) this.draw();
+  settings['display']['genome-label-size'] = newSize;
+  if (settings['display']['show-genome-labels']) this.draw();
 }
 
 GenomeDrawer.prototype.redrawSingleGenome = function (genomeID) {
@@ -763,8 +764,8 @@ GenomeDrawer.prototype.adjustScaleInterval = function () {
   let val = Math.floor(100 / scaleFactor);
   let roundToDigits = Math.floor(Math.log10(val)) - 1;
   let newInterval = Math.floor(val / (10 ** roundToDigits)) * (10 ** roundToDigits);
-  scaleInterval = newInterval;
-  $('#genome_scale_interval').val(scaleInterval);
+  settings['display']['genome-scale-interval'] = newInterval;
+  $('#genome_scale_interval').val(settings['display']['genome-scale-interval']);
 }
 
 GenomeDrawer.prototype.queryFunctions = async function () {
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 60f58a43d2..4cd39fd1f6 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -31,7 +31,7 @@ var alignToGC = null;
 var stateData = {};
 var settings = {} // packaged obj sent off to GenomeDrawer
 var xDisps = {};
-var renderWindow = [];
+var renderWindow = []; 
 var genomeMax = 0;
 var yOffset = 0 // vertical space between additional data layers
 var xDisplacement = 0; // x-offset of genome start, activated if genome labels are shown
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 6adef894d2..35a217efb2 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -76,7 +76,7 @@
       }
       if(newStart == 0 && newEnd == genomeMax) { // for extra-zoomed-out view
         scaleFactor = 0.01;
-        if(dynamicScaleInterval) adjustScaleInterval();
+        if(settings['display']['dynamic-scale-interval']) adjustScaleInterval();
       drawer.draw()
         return;
       }
@@ -182,7 +182,7 @@ function drawScale() {
       scaleFactor = percentScale ? canvas.getWidth()/(ntsToShow*genomeMax) : canvas.getWidth()/ntsToShow;
       updateRenderWindow();
 
-      if(dynamicScaleInterval) drawer.adjustScaleInterval();
+      if(settings['display']['dynamic-scale-interval']) drawer.adjustScaleInterval();
 
       drawer.draw()
       let moveToX = percentScale ? getRenderXRangeForFrac()[0] : xDisplacement+scaleFactor*b[0];
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 3e695cf3ac..e4bc85891d 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -79,7 +79,7 @@ function setEventListeners(){
     var gid = opt.target ? opt.target.groupID : null;
     if (gid == null) return;
 
-    if (opt.target.id == 'genomeLine' || (opt.target.id == 'arrow' && settings['display']?.['arrowStyle'] == 3)) canvas.sendBackwards(opt.target);
+    if (opt.target.id == 'genomeLine' || (opt.target.id == 'arrow' && settings['display']?.['arrow-style'] == 3)) canvas.sendBackwards(opt.target);
     if (this.shades) {
       drawer.clearShades();
       this.shades = false;
@@ -180,7 +180,7 @@ function setEventListeners(){
     color_db = $(this).val();
     generateColorTable(settings.display.colors.genes.annotations[color_db], color_db); // TODO: include highlight_genes, fn_colors etc from state
 
-    if(link_gene_label_color_source){
+    if(settings['display']['link-gene-label-color-source']){
       $('#gene_label_source').val($(this).val())
     }
 
@@ -188,29 +188,28 @@ function setEventListeners(){
     $(this).blur();
   });
   $('#arrow_style').on('change', function () {
-    // arrowStyle = parseInt($(this).val());
     settings['display']['arrow-style'] = parseInt($(this).val());
     drawer.draw()
     $(this).blur();
   });
   $('#gene_text_pos').on('change', function () {
-    geneLabelPos = $(this).val();
-    if (!(geneLabelPos == "inside" && settings['display']['arrow-style'] != 3)) drawer.draw();
+    settings['display']['gene-text-position'] = $(this).val();
+    if (!(settings['display']['gene-text-position'] == "inside" && settings['display']['arrow-style'] != 3)) drawer.draw();
     $(this).blur();
   });
   $('#gene_text_angle').on('change', function () {
-    geneLabelAngle = $(this).val();
-    if (geneLabelPos != "inside") drawer.draw();
+    settings['display']['gene-text-angle'] = $(this).val();
+    if (settings['display']['gene-text-position'] != "inside") drawer.draw();
     $(this).blur();
   });
   $('#show_genome_labels_box').on('change', function () {
-    showLabels = !showLabels;
-    xDisplacement = showLabels ? 120 : 0;
+    settings['display']['show-genome-labels'] = !settings['display']['show-genome-labels'];
+    xDisplacement = settings['display']['show-genome-labels'] ? 120 : 0;
     alignToGC = null;
     drawer.draw()
   });
   $('#gene_label_source').on('change', function(){
-    if(link_gene_label_color_source){
+    if(settings['display']['link-gene-label-color-source']){
       color_db = $(this).val();
       $('#gene_color_order').val($(this).val())
       generateColorTable(settings.display.colors.genes.annotations[color_db], color_db)
@@ -218,11 +217,11 @@ function setEventListeners(){
     drawer.draw()
   })
   $('#show_gene_labels_box').on('change', function () {
-    showGeneLabels = !showGeneLabels;
+    settings['display']['show-gene-labels'] = !settings['display']['show-gene-labels'];
     drawer.draw()
   });
   $('#link_gene_label_color_source').on('change', function(){
-    link_gene_label_color_source = !link_gene_label_color_source;
+    settings['display']['link-gene-label-color-source'] = !settings['display']['link-gene-label-color-source'];
     drawer.draw()
   })
   $('#show_only_cags_in_window').on('change', function () {
@@ -236,7 +235,7 @@ function setEventListeners(){
     }
   });
   $('#show_dynamic_scale_box').on('change', function () {
-    dynamicScaleInterval = !dynamicScaleInterval;
+    settings['display']['dynamic-scale-interval'] = !settings['display']['dynamic-scale-interval'];
   });
   $('#adl_pts_per_layer').on('change', function () {
     drawer.setPtsPerADL($(this).val());
@@ -303,9 +302,10 @@ function setEventListeners(){
 
   $('#deepdive-tooltip-body').hide() // set initual tooltip hide value
   $('#tooltip-body').hide()
-  $('#show_genome_labels_box').attr("checked", showLabels);
-  $('#show_gene_labels_box').attr("checked", showGeneLabels);
-  $('#show_dynamic_scale_box').attr("checked", dynamicScaleInterval);
+  $('#show_genome_labels_box').prop("checked", settings['display']['show-genome-labels']);
+  $('#show_gene_labels_box').prop("checked", settings['display']['show-gene-labels']);
+  $('#show_dynamic_scale_box').prop("checked", settings['display']['dynamic-scale-interval']);
+  $('#link_gene_label_color_source_box').prop("checked", settings['display']['link-gene-label-color-source']);
 
   $("#tabular-modal-body").on('shown.bs.modal', function(){
     showTabularModal()
@@ -1218,7 +1218,7 @@ function changeGenomeOrder(updatedOrder){
  *  @param sort_by_count   : if true, sort annotations by # occurrences, otherwise sort alphabetically
  *  @param thresh_count    : int indicating min # occurences required for a given category to be included in the table
  */
-function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_window=filter_gene_colors_to_window, sort_by_count=order_gene_colors_by_count, thresh_count = thresh_count_gene_colors) {
+function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_window=filter_gene_colors_to_window, sort_by_count=order_gene_colors_by_count, thresh_count = settings['display']['thresh-count-gene-colors']) {
   let db;
   if(fn_type == 'Source') {
     db = default_source_colors;
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index cb031ea2f3..e222d4647d 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -222,7 +222,7 @@ function filterColorTable(thresh) {
     alert("Error: filtering threshold must be an integer >= 1");
     return;
   }
-  thresh_count_gene_colors = thresh;
+  settings['display']['thresh-count-gene-colors'] = thresh;
   generateColorTable(null, $("#gene_color_order").val());
   drawer.draw();
 }

From 732db04c3c1f810427a5768c806e8c13a8ea7b03 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 13 Mar 2023 19:35:22 -0500
Subject: [PATCH 0790/1020] update

---
 anvio/data/interactive/js/genomeview/main.js | 158 +++++++++++++++----
 1 file changed, 125 insertions(+), 33 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 4cd39fd1f6..4a9a4ea9e4 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -37,27 +37,15 @@ var yOffset = 0 // vertical space between additional data layers
 var xDisplacement = 0; // x-offset of genome start, activated if genome labels are shown
 var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
 var maxGroupSize = 2 // used to calculate group height. base of 2 as each group will contain at minimum a genome layer + group ruler.
-var genomeLabelSize = 15; // font size of genome labels
 var marginTop = 20; // vertical margin at the top of the genome display
 var groupLayerPadding = 10 // padding between each layer in a given genome group
 var groupMargin = 100 // space between each genome group
 var labelSpacing = 30;  // spacing default for genomeLabel canvas
-var geneLabelSize = 40; // gene label font size
 var spacing = 50; // multiplied by maxGroupSize to determine group height allocation
-var scaleInterval = 100; // nt scale intervals
-var adlPtsPerLayer = 10000; // number of data points to be subsampled per ADL. TODO: more meaningful default?
-var showLabels = true; // show genome labels?
-var showGeneLabels = true; // show gene labels?
-var link_gene_label_color_source = false // by default, allow users to display different gene arrow color / gene label source
-var dynamicScaleInterval = true; // if true, scale interval automatically adjusts to zoom level
 var percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
-var geneLabelPos = "above"; // gene label position; one of "above", "inside"
-var geneLabelAngle = 0;
-var thresh_count_gene_colors = 4; // min # occurences of annotation for filtering gene color table
 var order_gene_colors_by_count = true; // if true, order annotations on gene color table by descending order of count, otherwise order alphabetically
 var filter_gene_colors_to_window = false; // if true, only display gene colors in current render window, otherwise show all gene colors in split
 var firstDraw = true // flag to determine whether to set zoom to initial zoom level
-var mainCanvasHeight;
 var canvas;
 var genomeLabelsCanvas;
 var brush;
@@ -301,30 +289,34 @@ function serializeSettings() {
   state['display']['metadata'] = settings['display']['metadata']
 
   state['display']['order-method'] = $('#genome_order_select').val()
-  state['display']['dynamic-scale-interval'] = $('#show_dynamic_scale_box').is(':checked')
-  state['display']['genome-scale-interval'] = $('#genome_scale_interval').val()
+  state['display']['dynamic-scale-interval'] = $('#show_dynamic_scale_box').is(':checked') // if true, scale interval automatically adjusts to zoom level
+  state['display']['genome-scale-interval'] = parseInt($('#genome_scale_interval').val())
   state['display']['genome-spacing'] = $('#genome_spacing').val()
   state['display']['arrow-style'] = $('#arrow_style').val()
   state['display']['gene-link-style'] = $('#link_style').val()
   state['display']['gene-shade-style'] = $('#shade_by').val()
   state['display']['show-genome-labels'] = $('#show_genome_labels_box').is(':checked')
-  state['display']['genome-label-size'] = $('#genome_label').val()
+  state['display']['genome-label-size'] = $('#genome_label').val() 
   state['display']['colors']['genome-label'] = $('#genome_label_color').attr(':color')
   state['display']['show-gene-labels'] = $('#show_gene_labels_box').is(':checked')
-  state['display']['gene-label-size'] = $('#gene_label').val()
+  state['display']['gene-label-size'] = $('#gene_label').val() 
   state['display']['colors']['gene-label'] = $('#gene_label_color').attr(':color')
-  state['display']['gene-text-position'] = $('#gene_text_pos').val()
+  state['display']['gene-text-position'] = $('#gene_text_pos').val() // gene label position; one of "above", "inside"
+  state['display']['gene-text-angle'] = $('#gene_text_angle').val()
   state['display']['gc-window-size'] = $('#gc_window_size').val()
   state['display']['gc-step-size'] = $('#gc_step_size').val()
   state['display']['gc-overlay-color'] = $('#gc_overlay_color').attr(':color')
   state['display']['gene-color-order'] = $('#gene_color_order').val()
   state['display']['gene-label-source'] = $('#gene_label_source').val()
-  state['display']['link-gene-label-color-source'] = $('#link_gene_label_color_source').is(':checked')
+  state['display']['link-gene-label-color-source'] = $('#link_gene_label_color_source').is(':checked') // by default, allow users to display different gene arrow color / gene label source (false)
   state['display']['annotation-color-dict'] = []
   state['display']['viewportTransform'] = canvas.viewportTransform[4];
   state['display']['nt_window'] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())] : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
   state['display']['scaleFactor'] = scaleFactor;
   state['display']['percentScale'] = percentScale;
+  state['display']['xDisps'] = xDisps;
+  state['display']['thresh-count-gene-colors'] = $('#thresh_count').val() // min # occurences of annotation for filtering gene color table
+  state['display']['adlPtsPerLayer'] = $('#adl_pts_per_layer').val() // number of data points to be subsampled per ADL. TODO: more meaningful default?
 
   $('.annotation_color').each((idx, row) => {
     let color = $(row).attr('color')
@@ -342,7 +334,7 @@ function processState(stateName, stateData) {
   settings['state-name'] = stateName
   console.log('processing this state obj', stateData)
 
-  calculateMaxGenomeLength()
+  //calculateMaxGenomeLength()
   if (stateData.hasOwnProperty('group-layer-order')) {
     settings['group-layer-order'] = stateData['group-layer-order']
   }
@@ -372,9 +364,9 @@ function processState(stateName, stateData) {
   }
 
   if (stateData?.['display']?.['arrow-style']){
-    $('#arrow_style').val(stateData['arrow-style'])
+    $('#arrow_style').val(stateData['display']['arrow-style'])
   } else {
-    $('#arrow_style').val(settings['display']['arrow-style'])
+    $('#arrow_style').val(1)
   }
 
   if (stateData?.['display']?.['bookmarks']) {
@@ -396,10 +388,107 @@ function processState(stateName, stateData) {
     buildGroupLayersTable(layer)
   })
 
-  settings['display']['viewportTransform'] = stateData?.['display']?.['viewportTransform']
-  settings['display']['nt_window'] = stateData?.['display']?.['nt_window']
-  percentScale = stateData?.['display']?.['percentScale']
-  scaleFactor = stateData?.['display']?.['scaleFactor']
+  if(stateData?.['display']?.['percentScale']) {
+    percentScale = stateData['display']['percentScale']
+  } else {
+    percentScale = false;
+  }
+
+  if(stateData?.['display']?.['scaleFactor']) {
+    scaleFactor = stateData['display']['scaleFactor']
+  } else {
+    scaleFactor = 1
+  }
+
+  if(stateData?.['display']?.['nt_window']) {
+    settings['display']['nt_window'] = stateData['display']['nt_window']
+  } else {
+    settings['display']['nt_window'] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())] : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+  }
+
+  if(stateData?.['display']?.['viewportTransform']) {
+    settings['display']['viewportTransform'] = stateData['display']['viewportTransform']
+  }
+
+  if(stateData?.['display']?.['xDisps']) {
+    settings['display']['xDisps'] = stateData['display']['xDisps']
+  }
+
+  if(stateData?.['display']?.['genome-label-size']) {
+    settings['display']['genome-label-size'] = stateData['display']['genome-label-size'];
+  } else {
+    settings['display']['genome-label-size'] = 15
+  }
+  $('#genome_label').val(settings['display']['genome-label-size'])
+
+  if(stateData?.['display']?.['gene-label-size']) {
+    settings['display']['gene-label-size'] = stateData['display']['gene-label-size']
+  } else {
+    settings['display']['gene-label-size'] = 40
+  }
+  $('#gene_label').val(settings['display']['gene-label-size'])
+
+  if(stateData?.['display']?.['gene-text-position']) {
+    settings['display']['gene-text-position'] = stateData['display']['gene-text-position']
+  } else {
+    settings['display']['gene-text-position'] = 'above'
+  }
+  $('#gene_text_pos').val(settings['display']['gene-text-position'])
+
+  if(stateData?.['display']?.['gene-text-angle']) {
+    settings['display']['gene-text-angle'] = stateData['display']['gene-text-angle']
+  } else {
+    settings['display']['gene-text-angle'] = 0
+  }
+  $('#gene_text_angle').val(settings['display']['gene-text-angle'])
+
+  if(stateData?.['display']?.hasOwnProperty('dynamic-scale-interval')) {
+    settings['display']['dynamic-scale-interval'] = stateData['display']['dynamic-scale-interval']
+  } else {
+    settings['display']['dynamic-scale-interval'] = true;
+  }
+
+  if(stateData?.['display']?.hasOwnProperty('genome-scale-interval')) {
+    settings['display']['genome-scale-interval'] = stateData['display']['genome-scale-interval']
+  } else {
+    settings['display']['genome-scale-interval'] = 100 
+  }
+  $('#genome_scale_interval').val(settings['display']['genome-scale-interval'])
+
+  if(stateData?.['display']?.hasOwnProperty('show-genome-labels')) {
+    settings['display']['show-genome-labels'] = stateData['display']['show-genome-labels']
+  } else {
+    settings['display']['show-genome-labels'] = true 
+  }
+
+  if(stateData?.['display']?.hasOwnProperty('show-gene-labels')) {
+    settings['display']['show-gene-labels'] = stateData['display']['show-gene-labels']
+  } else {
+    settings['display']['show-gene-labels'] = true 
+  }
+
+  if(stateData?.['display']?.hasOwnProperty('thresh-count-gene-colors')) {
+    settings['display']['thresh-count-gene-colors'] = stateData['display']['thresh-count-gene-colors']
+  } else {
+    settings['display']['thresh-count-gene-colors'] = 4
+  }
+  $('#thresh_count').val(settings['display']['thresh-count-gene-colors'])
+
+  if(stateData?.['display']?.hasOwnProperty('adlPtsPerLayer')) {
+    settings['display']['adlPtsPerLayer'] = stateData['display']['adlPtsPerLayer']
+  } else {
+    console.log(stateData?.display?.adlPtsPerLayer)
+    settings['display']['adlPtsPerLayer'] = 10000 // number of data points to be subsampled per ADL. TODO: more meaningful default?
+  }
+  $('#adl_pts_per_layer').val(settings['display']['adlPtsPerLayer'])
+  
+  if(stateData?.['display']?.hasOwnProperty('link-gene-label-color-source')) {
+    settings['display']['link-gene-label-color-source'] = stateData['display']['link-gene-label-color-source']
+  } else {
+    settings['display']['link-gene-label-color-source'] = false
+  }
+
+  // annotation color dict?
 }
 
 function loadAll(loadType) {
@@ -408,14 +497,18 @@ function loadAll(loadType) {
   canvas.setWidth(VIEWER_WIDTH * 0.85);
 
   $('.container').css({ 'height': VIEWER_HEIGHT + 'px', 'overflow-y': 'auto' })
-  xDisplacement = showLabels ? 120 : 0;
-  for (genome of settings['genomeData']['genomes']) {
-    xDisps[genome[0]] = xDisplacement;
+  xDisplacement = settings['display']['show-genome-labels'] ? 120 : 0;
+  if(settings?.['display']?.['xDisps']) {
+    xDisps = settings?.['display']['xDisps'];
+  } else {
+    for (genome of settings['genomeData']['genomes']) {
+      xDisps[genome[0]] = xDisplacement;
+    }
   }
 
   calculateMaxGenomeLength()
 
-  if (showGeneLabels && parseInt(settings['display']['arrow-style']) != 3) {
+  if (settings['display']['show-gene-labels'] && parseInt(settings['display']['arrow-style']) != 3) {
     marginTop = 60;
     spacing = settings['display']['genome-spacing'] ? settings['display']['genome-spacing'] : 200; // TODO maybe we refactor this out into a setSpacing() method for clarity?
     $("#genome_spacing").val(spacing);
@@ -442,11 +535,10 @@ function loadAll(loadType) {
   setEventListeners()
 
   buildGeneLabelsSelect()
-  let [start, stop] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())] : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+  let [start, stop] = settings['display']['nt_window'];
+  $('#brush_start').val(start);
+  $('#brush_end').val(stop);
   if(loadType == 'reload') {
-    [start, stop] = settings['display']['nt_window'];
-    $('#brush_start').val(start);
-    $('#brush_end').val(stop);
     canvas.viewportTransform[4] = settings['display']['viewportTransform'];
     canvas.setViewportTransform(canvas.viewportTransform);
   }

From cf72057e3283b942fe11e75bf66e71df07d578e1 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 13 Mar 2023 19:35:57 -0500
Subject: [PATCH 0791/1020] fix showAllADLPtsPerLayer()

---
 anvio/data/interactive/genomeview.html         | 2 +-
 anvio/data/interactive/js/genomeview/drawer.js | 1 +
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 54646f937b..fbb891245c 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -247,7 +247,7 @@ <h4 class="modal-title">Lasso</h4>
             <td><input id="adl_pts_per_layer" class="form-control input-sm" type="text" value="10000" size="6"></td>
           </tr>
           <tr>
-            <td><button id="showAllADLPtsBtn" type="button" class="btn btn-primary btn-xs" onclick="showAllADLPts()"
+            <td><button id="showAllADLPtsBtn" type="button" class="btn btn-primary btn-xs" onclick="drawer.showAllADLPts()"
                 class="btn btn-outline-primary">Show all data points</button></td>
           </tr>
         </tbody>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 23cd146994..93184cefbb 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -690,6 +690,7 @@ GenomeDrawer.prototype.setPtsPerADL = function (newResolution) {
 
 GenomeDrawer.prototype.showAllADLPts = function () {
   this.setPtsPerADL(genomeMax);
+  $('#adl_pts_per_layer').val(genomeMax);
   $('#showAllADLPtsBtn').blur();
 }
 

From e59435c956da8b0b89790f69d5f09f8fe8d28f17 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 16 Mar 2023 16:20:18 -0500
Subject: [PATCH 0792/1020] set viewport correctly for proportional scale

---
 .../interactive/js/genomeview/navigation.js   |  4 +--
 anvio/data/interactive/js/genomeview/utils.js | 29 +++++++++++++++----
 2 files changed, 25 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 35a217efb2..2292a46043 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -179,13 +179,13 @@ function drawScale() {
       $('#brush_end').val(b[1]);
 
       let ntsToShow = b[1] - b[0];
-      scaleFactor = percentScale ? canvas.getWidth()/(ntsToShow*genomeMax) : canvas.getWidth()/ntsToShow;
+      scaleFactor = percentScale ? canvas.getWidth()/(ntsToShow*(calcXBounds()[1]-calcXBounds()[0])/scaleFactor) : canvas.getWidth()/ntsToShow;
       updateRenderWindow();
 
       if(settings['display']['dynamic-scale-interval']) drawer.adjustScaleInterval();
 
       drawer.draw()
-      let moveToX = percentScale ? getRenderXRangeForFrac()[0] : xDisplacement+scaleFactor*b[0];
+      let moveToX = percentScale ? getVPTForFrac()[0] : xDisplacement+scaleFactor*b[0];
       canvas.absolutePan({x: moveToX, y: 0});
 
       // TODO: restrict min view to 300 NTs? (or e.g. scaleFactor <= 4)
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index e222d4647d..70ab283da4 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -135,7 +135,16 @@ function getFracForVPT() {
 }
 
 /*
- *  @returns range of renderWindow x-positions for a given proportional range
+ *  @returns absolute x-position viewport range for a given proportional selection range
+ */
+function getVPTForFrac() {
+  if(!percentScale) return null;
+  let [l,r] = calcXBounds();
+  return [$('#brush_start').val(),$('#brush_end').val()].map(x => l+x*(r-l));
+}
+
+/*
+ *  @returns absolute x-position viewport range for a given proportional renderWindow range
  */
 function getRenderXRangeForFrac() {
   if(!percentScale) return null;
@@ -144,9 +153,13 @@ function getRenderXRangeForFrac() {
   return [x1, x2];
 }
 
+/* 
+ *  @returns nt range of a specific genome (since they can be dragged) for a given proportional range 
+ *  - used to determine which gene arrows to draw for a given genome while proportional scale is activated
+ */
 function getRenderNTRange(genomeID) {
   if(!percentScale) return renderWindow;
-  let [l,r] = calcXBounds();
+  //let [l,r] = calcXBounds();
   let [start, end] = getRenderXRangeForFrac().map(x => (x-xDisps[genomeID])/scaleFactor);
   return [clamp(start,0,genomeMax), clamp(end,0,genomeMax)];
 }
@@ -157,11 +170,15 @@ function getRenderNTRange(genomeID) {
  */
 function calcXBounds() {
   let min = 9*(10**9), max = -9*(10**9);
-  for(let g in xDisps) {
-    if(xDisps[g] > max) max = xDisps[g];
-    if(xDisps[g] < min) min = xDisps[g];
+  for(genome of genomeData.genomes) {
+    let genomeName = genome[0];
+    let genes = genome[1].genes.gene_calls;
+    let start = xDisps[genomeName];
+    let end = xDisps[genomeName] + scaleFactor*genes[Object.keys(genes).length-1].stop;
+    if(start < min) min = start;
+    if(end > max) max = end;
   }
-  return [min, max + scaleFactor*genomeMax];
+  return [min, max];
 }
 
 /*

From 449de213287073311e75529954f0ac68dbbead2f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 16 Mar 2023 20:13:56 -0500
Subject: [PATCH 0793/1020] save current function color db to state

---
 anvio/data/interactive/js/genomeview/main.js | 25 ++++++++++----------
 1 file changed, 13 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 4a9a4ea9e4..ed0335c49c 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -306,7 +306,7 @@ function serializeSettings() {
   state['display']['gc-window-size'] = $('#gc_window_size').val()
   state['display']['gc-step-size'] = $('#gc_step_size').val()
   state['display']['gc-overlay-color'] = $('#gc_overlay_color').attr(':color')
-  state['display']['gene-color-order'] = $('#gene_color_order').val()
+  state['display']['color_db'] = $('#gene_color_order').val()
   state['display']['gene-label-source'] = $('#gene_label_source').val()
   state['display']['link-gene-label-color-source'] = $('#link_gene_label_color_source').is(':checked') // by default, allow users to display different gene arrow color / gene label source (false)
   state['display']['annotation-color-dict'] = []
@@ -514,23 +514,24 @@ function loadAll(loadType) {
     $("#genome_spacing").val(spacing);
   }
 
-  $('#gene_color_order').append($('<option>', {
-    value: 'Source',
-    text: 'Source'
-  }));
-  for (fn of getFunctionalAnnotations()) {
+  if(loadType == 'init') {
     $('#gene_color_order').append($('<option>', {
-      value: fn,
-      text: fn
+      value: 'Source',
+      text: 'Source'
     }));
+    for (fn of getFunctionalAnnotations()) {
+      $('#gene_color_order').append($('<option>', {
+        value: fn,
+        text: fn
+      }));
+    }
   }
 
-  color_db = $('#gene_color_order').val();
+  color_db = settings?.['display']?.['color_db'] ? settings['display']['color_db'] : $('#gene_color_order').val();
+  $('#gene_color_order').val(color_db);
+  generateColorTable(fn_colors = settings?.display?.colors?.genes?.annotations[color_db], fn_type = color_db);
 
   buildGenomesTable(settings['genomeData']['genomes'], 'alphabetical') // hardcode order method until backend order data is hooked in
-  if(loadType == 'init'){
-    generateColorTable(fn_colors = null, fn_type = color_db);
-  }
   drawScale();
   setEventListeners()
 

From 3d2d6ac07341b60500e96436f309e7a5e90ec654 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 16 Mar 2023 20:14:51 -0500
Subject: [PATCH 0794/1020] cleanup

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 -
 anvio/data/interactive/js/genomeview/main.js   | 1 -
 2 files changed, 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 93184cefbb..c58ed4e55d 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -684,7 +684,6 @@ GenomeDrawer.prototype.setPtsPerADL = function (newResolution) {
     return;
   }
   settings['display']['adlPtsPerLayer'] = newResolution;
-  console.log(settings['display']['adlPtsPerLayer'])
   this.draw();
 }
 
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index ed0335c49c..f134d9b5cf 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -477,7 +477,6 @@ function processState(stateName, stateData) {
   if(stateData?.['display']?.hasOwnProperty('adlPtsPerLayer')) {
     settings['display']['adlPtsPerLayer'] = stateData['display']['adlPtsPerLayer']
   } else {
-    console.log(stateData?.display?.adlPtsPerLayer)
     settings['display']['adlPtsPerLayer'] = 10000 // number of data points to be subsampled per ADL. TODO: more meaningful default?
   }
   $('#adl_pts_per_layer').val(settings['display']['adlPtsPerLayer'])

From 4ad4906b2ef335f0c5f6c7b3d3dd07fefade032f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 16 Mar 2023 20:28:16 -0500
Subject: [PATCH 0795/1020] trigger redraw immediately after using color
 pickers

---
 anvio/data/interactive/js/genomeview/ui.js | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index e4bc85891d..7e9c00fcd8 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -283,6 +283,7 @@ function setEventListeners(){
           $(el).css('background-color', '#' + hex);
           $(el).attr('color', '#' + hex);
           if (!bySetColor) $(el).val(hex);
+          drawer.draw();
       }
   }).keyup(function() {
       $(this).colpickSetColor(this.value);
@@ -295,6 +296,7 @@ function setEventListeners(){
           $(el).css('background-color', '#' + hex);
           $(el).attr('color', '#' + hex);
           if (!bySetColor) $(el).val(hex);
+          drawer.draw();
       }
   }).keyup(function() {
       $(this).colpickSetColor(this.value);
@@ -1291,6 +1293,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
             if (!bySetColor) $(el).val(hex);
             if(!settings.display.colors.genes.annotations[fn_type]) settings.display.colors.genes.annotations[fn_type] = {};
             settings.display.colors.genes.annotations[fn_type][category] = '#' + hex;
+            drawer.draw();
         }
     }).keyup(function() {
         $(this).colpickSetColor(this.value);
@@ -1338,6 +1341,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
             $(el).attr('color', '#' + hex);
             //state['highlight-genes'][el.id.substring(7)] = '#' + hex;
             if (!bySetColor) $(el).val(hex);
+            drawer.draw();
         }
     }).keyup(function() {
         $(this).colpickSetColor(this.value);

From 61394b9ac51715efa62b0a98c52d8b6e82e1cddf Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 17 Mar 2023 16:29:04 -0500
Subject: [PATCH 0796/1020] feature flag proportional scale & genome dragging
 functionality

opting to disable all genome dragging and proportional scale functionality for v0. from this point forward, the `percentScale` flag should always be set to false
---
 anvio/data/interactive/js/genomeview/drawer.js     | 10 +++++++++-
 anvio/data/interactive/js/genomeview/navigation.js |  2 ++
 anvio/data/interactive/js/genomeview/ui.js         |  7 +++++++
 3 files changed, 18 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index c58ed4e55d..9b60c1481c 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -106,6 +106,7 @@ GenomeDrawer.prototype.addGroupBorder = function (yOffset, orderIndex) {
     fill: "pink",
     opacity: .2,
     selectable: false,
+    hoverCursor: 'default'
   })
 
   canvas.sendToBack(rect)
@@ -148,7 +149,8 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
     lockMovementY: true,
     hasControls: false,
     hasBorders: false,
-    lockScaling: true
+    lockScaling: true,
+    hoverCursor: 'default'
   });
   canvas.add(lineObj);
   this.addBackgroundShade((marginTop + yOffset + layerPos + (orderIndex * groupMargin)), start, genomeMax, layerHeight, orderIndex)
@@ -333,6 +335,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
     fill: stroke,
     selectable: false,
     objectCaching: false,
+    hoverCursor: 'default',
     id: `${layer}-graph-shaded`,
     groupID: genomeID,
     genome: genomeID
@@ -383,6 +386,8 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function (genomeID, layerPos, laye
       hasBorders: false,
       lockScaling: true,
       objectCaching: false,
+      selectable: false,
+      hoverCursor: 'default',
       groupID: genomeID,
       class: 'ruler'
     });
@@ -419,6 +424,7 @@ GenomeDrawer.prototype.addBackgroundShade = function (top, left, width, height,
     height: height,
     fill: "#b0b0b0",
     selectable: false,
+    hoverCursor: 'default',
     opacity: .5
   });
   // canvas.sendToBack(border)
@@ -506,11 +512,13 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
   arrow.set({
     id: 'arrow',
     groupID: genomeID,
+    lockMovementX: true,
     lockMovementY: true,
     selectable: true,
     hasControls: false,
     hasBorders: false,
     lockScaling: true,
+    hoverCursor: 'pointer',
     opacity: settings['display']['hidden']?.[genomeID]?.[geneID] ? .2 : 1.0,
     aaSequence: genomeOfInterest[0][1]['genes']['aa'][geneID]['sequence'],
     dnaSequence: genomeOfInterest[0][1]['genes']['dna'][geneID]['sequence'],
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 2292a46043..02484d8356 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -179,6 +179,8 @@ function drawScale() {
       $('#brush_end').val(b[1]);
 
       let ntsToShow = b[1] - b[0];
+      // NOTE: there is a bug in the following line for percent scale where the scaleFactor is not calculated correctly and as a result the viewport window is incorrect.
+      // Need to determine the number of nucleotides that correspond to a given proportional range (e.g. [0.1, 0.234]) after sliding a genome 
       scaleFactor = percentScale ? canvas.getWidth()/(ntsToShow*(calcXBounds()[1]-calcXBounds()[0])/scaleFactor) : canvas.getWidth()/ntsToShow;
       updateRenderWindow();
 
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 7e9c00fcd8..73c5d698ef 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -75,7 +75,14 @@ function setEventListeners(){
       drawer.redrawSingleGenome(opt.target.groupID);
     }
   });
+  /*
+   *  ***NOTE: Genome sliding and proportional scale functionality is currently disabled***
+   *  All proportional scale functionality is under the feature flag `percentScale` which at this time should always be equal to false.
+   *  At its current state, proportional scale has some bugs with calculating the viewport window for a given selection range. Bookmarks should also be disabled for proportional scale.
+   */
   canvas.on('object:moving', function (opt) {
+    console.log("Warning: Object moving event listener triggered. This listener should never be triggered as long as genome dragging is disabled, so if you're seeing this message, there may be an error somewhere.");
+    return;
     var gid = opt.target ? opt.target.groupID : null;
     if (gid == null) return;
 

From 18bc6aa90505f6ab0ba30fd1b88b4acbbc0c963f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 18 Mar 2023 08:42:49 -0500
Subject: [PATCH 0797/1020] fix for background shades

---
 anvio/data/interactive/js/genomeview/main.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index f134d9b5cf..1dbfcbf4ce 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -509,7 +509,7 @@ function loadAll(loadType) {
 
   if (settings['display']['show-gene-labels'] && parseInt(settings['display']['arrow-style']) != 3) {
     marginTop = 60;
-    spacing = settings['display']['genome-spacing'] ? settings['display']['genome-spacing'] : 200; // TODO maybe we refactor this out into a setSpacing() method for clarity?
+    spacing = settings['display']['genome-spacing'] ? parseInt(settings['display']['genome-spacing']) : 200; // TODO maybe we refactor this out into a setSpacing() method for clarity?
     $("#genome_spacing").val(spacing);
   }
 

From 1706c27c34327bb468da29f17181e449a6ab92fa Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 18 Mar 2023 08:43:40 -0500
Subject: [PATCH 0798/1020] housekeeping

---
 anvio/data/interactive/js/genomeview/main.js  | 6 ++----
 anvio/data/interactive/js/genomeview/utils.js | 2 +-
 2 files changed, 3 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 1dbfcbf4ce..6d331ebc0b 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -334,7 +334,6 @@ function processState(stateName, stateData) {
   settings['state-name'] = stateName
   console.log('processing this state obj', stateData)
 
-  //calculateMaxGenomeLength()
   if (stateData.hasOwnProperty('group-layer-order')) {
     settings['group-layer-order'] = stateData['group-layer-order']
   }
@@ -486,8 +485,6 @@ function processState(stateName, stateData) {
   } else {
     settings['display']['link-gene-label-color-source'] = false
   }
-
-  // annotation color dict?
 }
 
 function loadAll(loadType) {
@@ -548,6 +545,7 @@ function loadAll(loadType) {
 
   console.log('Sending this data obj to GenomeDrawer', settings)
   drawer = new GenomeDrawer(settings)
-  drawer.draw('draw from loadAll')
+  drawer.draw()
+  console.log('draw from loadAll')
   toastr.success(`Successfully loaded from ${settings['state-name']} state`)
 }
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 70ab283da4..1c76dc8fb6 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -30,7 +30,7 @@
  */
 function calculateMainCanvasHeight(){
   let additionalSpacing = 100 // arbitrary additional spacing for cosmetics
-      let mainCanvasHeight =  spacing * settings['genomeData']['genomes'].length + additionalSpacing + (spacing * maxGroupSize * groupLayerPadding)
+  let mainCanvasHeight =  spacing * settings['genomeData']['genomes'].length + additionalSpacing + (spacing * maxGroupSize * groupLayerPadding)
   return mainCanvasHeight
 }
 

From 2796bcdec73effb8208d07a6cfbd9c7d40fa37c4 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 18 Mar 2023 10:05:25 -0500
Subject: [PATCH 0799/1020] calculate canvas height correctly

---
 anvio/data/interactive/js/genomeview/utils.js | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 1c76dc8fb6..8182a8fe9a 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -30,7 +30,11 @@
  */
 function calculateMainCanvasHeight(){
   let additionalSpacing = 100 // arbitrary additional spacing for cosmetics
-  let mainCanvasHeight =  spacing * settings['genomeData']['genomes'].length + additionalSpacing + (spacing * maxGroupSize * groupLayerPadding)
+  let scaleHeight = 230
+  let nGenomes = settings['genomeData']['genomes'].length;
+
+  //let mainCanvasHeight =  marginTop + spacing * settings['genomeData']['genomes'].length + groupMargin*(settings['genomeData']['genomes'].length-1) + additionalSpacing
+  let mainCanvasHeight = marginTop + nGenomes*(spacing+maxGroupSize*groupLayerPadding) + groupMargin*(nGenomes-1) + scaleHeight + additionalSpacing
   return mainCanvasHeight
 }
 

From f41c4bd12fbc8115147805b30698303750f15b1a Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 18 Mar 2023 10:27:37 -0500
Subject: [PATCH 0800/1020] clean

---
 anvio/data/interactive/js/genomeview/ui.js    | 2 +-
 anvio/data/interactive/js/genomeview/utils.js | 4 +---
 2 files changed, 2 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 73c5d698ef..34aaf786bd 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -426,7 +426,7 @@ function showDeepDiveToolTip(event){
   <button type="button" id="gene-blastx-at-refseq-button" class="btn btn-default btn-sm">blastx @ refseq_genomic</button>
   <br>
 
-  <h2>Visible Geen Range</h2>
+  <h2>Visible Gene Range</h2>
   <label for='hide-range-low'>Downstream Visible Gene Range</label>
   <input type='number' id='hide-range-low'  min='1' step='1'/>
   <label for='hide-range-high'>Upstream Visible Gene Range</label>
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 8182a8fe9a..a4cba85daa 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -31,9 +31,7 @@
 function calculateMainCanvasHeight(){
   let additionalSpacing = 100 // arbitrary additional spacing for cosmetics
   let scaleHeight = 230
-  let nGenomes = settings['genomeData']['genomes'].length;
-
-  //let mainCanvasHeight =  marginTop + spacing * settings['genomeData']['genomes'].length + groupMargin*(settings['genomeData']['genomes'].length-1) + additionalSpacing
+  let nGenomes = settings['genomeData']['genomes'].length
   let mainCanvasHeight = marginTop + nGenomes*(spacing+maxGroupSize*groupLayerPadding) + groupMargin*(nGenomes-1) + scaleHeight + additionalSpacing
   return mainCanvasHeight
 }

From c548e9dc1b6ea072153fe5ded54accb91a14bdcc Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 19 Mar 2023 09:56:22 -0500
Subject: [PATCH 0801/1020] deepdive and tabular modal color pickers show real
 color of genes; save colors to state

---
 anvio/data/interactive/js/genomeview/ui.js | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 34aaf786bd..c9147228a4 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -436,7 +436,7 @@ function showDeepDiveToolTip(event){
   <br>
 
   <h2>color</h2>
-  <div id="picker_tooltip" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div>
+  <div id="picker_tooltip" class="colorpicker" color="${event.target.fill}" background-color="${event.target.fill}" style="background-color: ${event.target.fill}; margin-right:16px; margin-left:16px"></div>
   <p>set gene arrow color</p>
   <br>
   <h2>metadata</h2>
@@ -785,10 +785,7 @@ function showTabularModal(){
           `
         })
       }
-      let geneHex
-      if(settings['display']['colors']['genes']?.[genome[0]]?.[gene['geneID']]){
-        geneHex = settings['display']['colors']['genes']?.[genome[0]]?.[gene['geneID']]
-      }
+      let geneHex = gene.fill
       totalTableString += `
       <tr id='${genome[0]}-table-row-${gene['geneID']}'>
         <td class='select'><input class="form-check-input" id="${genome[0]}-${gene['geneID']}" value="${genome[0]}-${gene['geneID']}" type='checkbox'></input></td>
@@ -820,7 +817,7 @@ function showTabularModal(){
 
         let [geneID, genomeID] = [el.id.split('-')[0], el.id.split('-')[1]]
 
-        if(settings['display']['colors']['genes']?.[genomeID]?.[geneID]){
+        if(settings['display']['colors']['genes']?.[genomeID]){
           settings['display']['colors']['genes'][genomeID][geneID] = '#' + hex
         } else {
           settings['display']['colors']['genes'][genomeID] = {}
@@ -860,13 +857,16 @@ function gatherTabularModalSelectedItems(action){
 
 function transitionTabularModalToDeepdive(event){
   let [genomeID, geneID] = event.target.id.split('-')
-  let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == genomeID)
+  let genomeOfInterest = this.settings['genomeData']['genomes'].find(genome => genome[0] == genomeID)
 
   // this object generation is to mimick the expected behavior of a click event that the deepdive tooltip expects
   let generatedEventObj = {}
   generatedEventObj.target = {}
-  generatedEventObj.target.gene = genomeOfInterest[0][1]['genes']['dna'][geneID]
-  generatedEventObj.target.functions = genomeOfInterest[0][1]['genes']['functions'][geneID]
+  generatedEventObj.target.gene = genomeOfInterest[1]['genes']['dna'][geneID]
+  generatedEventObj.target.functions = genomeOfInterest[1]['genes']['functions'][geneID]
+  generatedEventObj.target.genomeID = genomeID
+  generatedEventObj.target.geneID = geneID
+  generatedEventObj.target.fill = canvas.getObjects().find(obj => obj.id == 'arrow' && obj.genomeID == genomeID && obj.geneID == geneID).fill
   $('#tabular-modal-body').modal('hide')
   showDeepDiveToolTip(generatedEventObj)
 }

From bc61cadf6d01cc13f0367d024278442dd3ad6f25 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 19 Mar 2023 09:57:08 -0500
Subject: [PATCH 0802/1020] export to SVG function

---
 anvio/data/interactive/js/genomeview/ui.js | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index c9147228a4..b21a31d512 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1451,4 +1451,15 @@ function setGeneVisibilityRange(targetGene, targetGenome){
 function showAllHiddenGenes(){
   settings['display']['hidden'] = {}
   drawer.draw()
+}
+
+function exportToSVG() {
+  // TODO: 1) clip to viewbox (including vertical scroll?) 2) delete hidden canvas elements like labels
+  let filedata = canvas.toSVG();
+  let locfile = new Blob([filedata], {type: "image/svg+xml;charset=utf-8"});
+
+  let link = document.createElement("a");
+  link.href = URL.createObjectURL(locfile);
+  link.download = "myGenomeViewSession.svg";
+  link.click();
 }
\ No newline at end of file

From 7ebd3964236e69b92a07008536813d59c7f4fb3d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 19 Mar 2023 23:46:10 -0500
Subject: [PATCH 0803/1020] add export as SVG button and remove invisible
 objects from export

---
 anvio/data/interactive/genomeview.html     | 3 +++
 anvio/data/interactive/js/genomeview/ui.js | 7 ++++++-
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index fbb891245c..1ade66b22b 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -481,6 +481,9 @@ <h4 class="modal-title">Lasso</h4>
             <tr>
               <td><button onclick="showAllHiddenGenes()">Show all hidden genes</button></td>
             </tr>
+            <tr>
+              <td><button onclick="exportToSVG()" style="margin-top: 10px; margin-bottom: 10px">Export as SVG</button></td>
+            </tr>
           </tbody>
         </table>
         <span style="margin-bottom:600px"></span>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index b21a31d512..d7c9916b84 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1454,7 +1454,12 @@ function showAllHiddenGenes(){
 }
 
 function exportToSVG() {
-  // TODO: 1) clip to viewbox (including vertical scroll?) 2) delete hidden canvas elements like labels
+  // TODO: 1) clip to viewbox (including vertical scroll?)
+
+  // remove invisible objects so they don't show up on SVG export
+  // if this becomes a problem, an alternative is to clone canvas so we can remove invisible objects
+  canvas.getObjects().filter(obj => obj.visible == false).forEach(o => canvas.remove(o))
+
   let filedata = canvas.toSVG();
   let locfile = new Blob([filedata], {type: "image/svg+xml;charset=utf-8"});
 

From e3ee2fd539bdce69ae3d97de1c260bc2f29cfd70 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 20 Mar 2023 00:39:57 -0500
Subject: [PATCH 0804/1020] remove deprecated settings panel function

---
 anvio/data/interactive/js/genomeview/ui.js | 14 +-------------
 1 file changed, 1 insertion(+), 13 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index d7c9916b84..3b1f7e94cc 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -146,7 +146,7 @@ function setEventListeners(){
   });
   document.body.addEventListener("keydown", function (ev) {
     if (ev.which == 83 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // S = 83
-      toggleSettingsPanel();
+      toggleRightPanel('#settings-panel')
     }
   });
   document.body.addEventListener("keydown", function (ev) {
@@ -1035,18 +1035,6 @@ function applyLasso() {
 
 
 
-function toggleSettingsPanel() {
-  $('#settings-panel').toggle();
-
-  if ($('#settings-panel').is(':visible')) {
-    $('#toggle-panel-settings').addClass('toggle-panel-settings-pos');
-    $('#toggle-panel-settings-inner').html('&#9658;');
-  } else {
-    $('#toggle-panel-settings').removeClass('toggle-panel-settings-pos');
-    $('#toggle-panel-settings-inner').html('&#9664;');
-  }
-}
-
 function buildGenomesTable(genomes, order){
   $("#tbody_genomes").empty() // clear table before redraw
   genomes.map(genome => {

From dd91a68edb74a09828c6e0365ff14df8fd168d7e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 20 Mar 2023 00:40:28 -0500
Subject: [PATCH 0805/1020] fix settings tab name bug

---
 anvio/data/interactive/js/genomeview/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index a4cba85daa..5bb67b125c 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -269,7 +269,7 @@ function toggleRightPanel(name) {
       $('#toggle-panel-settings-inner').html('&#9658;');
   } else {
       $('#toggle-panel-settings').removeClass('toggle-panel-settings-pos');
-      $('#toggle-panel-settings').html('&#9664;');
+      $('#toggle-panel-settings-inner').html('&#9664;');
   }
 
   if ($('#query-panel').is(':visible')) {

From 4ea224ba02d0a7f4e407694aa06a2de19f152621 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 20 Mar 2023 00:49:52 -0500
Subject: [PATCH 0806/1020] fix mouseover panel bug

---
 anvio/data/interactive/js/genomeview/utils.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 5bb67b125c..730886e056 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -247,7 +247,7 @@ function filterColorTable(thresh) {
 }
 
 function toggleRightPanel(name) {
-  ['#mouseover_panel', '#settings-panel', '#query-panel'].forEach(function(right_panel) {
+  ['#mouseover-panel', '#settings-panel', '#query-panel'].forEach(function(right_panel) {
       if (right_panel == name)
           return;
 
@@ -256,7 +256,7 @@ function toggleRightPanel(name) {
   console.log(name);
   $(name).toggle();
 
-  if ($('#mouseover_panel').is(':visible')) {
+  if ($('#mouseover-panel').is(':visible')) {
       $('#toggle-panel-mouseover').addClass('toggle-panel-mouseover-pos');
       $('#toggle-panel-mouseover-inner').html('&#9658;');
   } else {

From c3415c4ccd0dd39561af906ccd5262ad4bee2bf0 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 20 Mar 2023 01:16:04 -0500
Subject: [PATCH 0807/1020] show correct color in group layers table picker

---
 anvio/data/interactive/js/genomeview/main.js | 4 ++--
 anvio/data/interactive/js/genomeview/ui.js   | 9 +++++----
 2 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 6d331ebc0b..0cfa6db81e 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -122,8 +122,8 @@ function loadAdditionalDataLayers(){
 
       if (settings['additional-data-layers']['layers'].includes('Coverage')) {
         settings['group-layer-order'].unshift('Coverage')
-        settings['display']['layers']['coverage'] = true
-        settings['display']['colors']['coverage'] = '#000000'
+        settings['display']['layers']['Coverage'] = true
+        settings['display']['colors']['Coverage'] = '#000000'
         maxGroupSize += 1
       }
 
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 3b1f7e94cc..dd8cea17e2 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1068,8 +1068,8 @@ function buildGroupLayersTable(layerLabel){
   let color;
   let show = settings['display']['layers'][layerLabel]
 
-  if(layerLabel == 'GC_Content') color = settings['display']['colors']['GC_Content'] // TODO: replace hardcoded values w state data
-  if(layerLabel == 'Coverage') color = settings['display']['colors']['coverage']
+  if(layerLabel == 'GC_Content') color = settings['display']['colors']['GC_Content']
+  if(layerLabel == 'Coverage') color = settings['display']['colors']['Coverage']
 
   if(layerLabel === 'Ruler' || layerLabel === 'Genome'){
     var template =  `<tr id=${layerLabel}>
@@ -1102,8 +1102,8 @@ function buildGroupLayersTable(layerLabel){
     onChange: function(hsb, hex, rgb, el, bySetColor) {
         $(el).css('background-color', '#' + hex);
         $(el).attr('color', '#' + hex);
-        if(layerLabel == 'Coverage' && settings['display']['colors']['coverage'] != `#${hex}`){
-          settings['display']['colors']['coverage'] = `#${hex}`
+        if(layerLabel == 'Coverage' && settings['display']['colors']['Coverage'] != `#${hex}`){
+          settings['display']['colors']['Coverage'] = `#${hex}`
           drawer.draw()
         }
         else if(layerLabel == 'GC_Content' && settings['display']['colors']['GC_Content'] != `#${hex}`){
@@ -1116,6 +1116,7 @@ function buildGroupLayersTable(layerLabel){
   }).keyup(function() {
       $(this).colpickSetColor(this.value);
   });
+  $(`#${layerLabel}_color`).css('background-color', settings['display']['colors'][layerLabel]);
 }
 
 function toggleAdditionalDataLayer(e){

From 6dd612c09ab65cfe3ff3f8d271ca23567d44ffe3 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 20 Mar 2023 13:16:08 -0500
Subject: [PATCH 0808/1020] hook in genome and gene label colors

---
 .../data/interactive/js/genomeview/drawer.js  |  3 ++-
 anvio/data/interactive/js/genomeview/main.js  | 24 ++++++++++++++++---
 2 files changed, 23 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 9b60c1481c..f5c6e917a5 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -131,7 +131,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
   let y = marginTop + yOffset + layerPos + (layerHeight / 2) + (orderIndex * groupMargin) // render arrows in the center of genome layer's allotted vertical space
 
   if (settings['display']['show-genome-labels']) {
-    canvas.add(new fabric.Text(genomeID, { top: y - 5, selectable: false, fontSize: settings['display']['genome-label-size'], fontFamily: 'sans-serif', fontWeight: 'bold' }));
+    canvas.add(new fabric.Text(genomeID, { top: y - 5, selectable: false, fontSize: settings['display']['genome-label-size'], fontFamily: 'sans-serif', fontWeight: 'bold', fill: $('#genome_label_color').attr('color') }));
   }
 
   let [start, stop] = percentScale ? getRenderXRangeForFrac() : renderWindow.map(x => x * scaleFactor + xDisps[genomeID]);
@@ -178,6 +178,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
         fontSize: settings['display']['gene-label-size'],
         angle: settings['display']['gene-text-position'] == "above" ? -1 * settings['display']['gene-text-angle'] : 0,
         left: xDisps[genomeID] + (gene.start + 50) * scaleFactor,
+        fill: $('#gene_label_color').attr('color'),
         scaleX: 0.5,
         scaleY: 0.5,
         editable: true,
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 0cfa6db81e..177f6e3019 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -297,15 +297,15 @@ function serializeSettings() {
   state['display']['gene-shade-style'] = $('#shade_by').val()
   state['display']['show-genome-labels'] = $('#show_genome_labels_box').is(':checked')
   state['display']['genome-label-size'] = $('#genome_label').val() 
-  state['display']['colors']['genome-label'] = $('#genome_label_color').attr(':color')
+  state['display']['colors']['genome-label'] = $('#genome_label_color').attr('color')
   state['display']['show-gene-labels'] = $('#show_gene_labels_box').is(':checked')
   state['display']['gene-label-size'] = $('#gene_label').val() 
-  state['display']['colors']['gene-label'] = $('#gene_label_color').attr(':color')
+  state['display']['colors']['gene-label'] = $('#gene_label_color').attr('color')
   state['display']['gene-text-position'] = $('#gene_text_pos').val() // gene label position; one of "above", "inside"
   state['display']['gene-text-angle'] = $('#gene_text_angle').val()
   state['display']['gc-window-size'] = $('#gc_window_size').val()
   state['display']['gc-step-size'] = $('#gc_step_size').val()
-  state['display']['gc-overlay-color'] = $('#gc_overlay_color').attr(':color')
+  state['display']['gc-overlay-color'] = $('#gc_overlay_color').attr('color')
   state['display']['color_db'] = $('#gene_color_order').val()
   state['display']['gene-label-source'] = $('#gene_label_source').val()
   state['display']['link-gene-label-color-source'] = $('#link_gene_label_color_source').is(':checked') // by default, allow users to display different gene arrow color / gene label source (false)
@@ -485,6 +485,19 @@ function processState(stateName, stateData) {
   } else {
     settings['display']['link-gene-label-color-source'] = false
   }
+
+  if(stateData?.['display']?.['colors']?.hasOwnProperty('genome-label')) {
+    settings['display']['colors']['genome-label'] = stateData['display']['colors']['genome-label'];
+  } else {
+    console.log("OOPS")
+    settings['display']['colors']['genome-label'] = '#000000'
+  }
+
+  if(stateData?.['display']?.['colors']?.hasOwnProperty('gene-label')) {
+    settings['display']['colors']['gene-label'] = stateData['display']['colors']['gene-label'];
+  } else {
+    settings['display']['colors']['gene-label'] = '#000000'
+  }
 }
 
 function loadAll(loadType) {
@@ -523,6 +536,11 @@ function loadAll(loadType) {
     }
   }
 
+  $('#genome_label_color').css('background-color', settings['display']['colors']['genome-label']);
+  $('#gene_label_color').css('background-color', settings['display']['colors']['gene-label']);
+  $('#genome_label_color').attr('color', settings['display']['colors']['genome-label']);
+  $('#gene_label_color').attr('color', settings['display']['colors']['gene-label']);
+
   color_db = settings?.['display']?.['color_db'] ? settings['display']['color_db'] : $('#gene_color_order').val();
   $('#gene_color_order').val(color_db);
   generateColorTable(fn_colors = settings?.display?.colors?.genes?.annotations[color_db], fn_type = color_db);

From 88762d04d00b37a6825bee12be8d1c48b971bea4 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 20 Mar 2023 20:41:13 -0500
Subject: [PATCH 0809/1020] fix gene coloring by source to show grey arrows

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 anvio/data/interactive/js/utils.js             | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index f5c6e917a5..a50a27741a 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -456,7 +456,7 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
         cag = 'rRNA';
       } else if (gene.source == 'Transfer_RNAs') {
         cag = 'tRNA';
-      } else if (gene.functions !== null) {
+      } else if (functions != null) {
         cag = 'Function';
       }
       if ($('#picker_' + cag).length > 0) color = $('#picker_' + cag).attr('color');
diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index 227e3e63ae..81705c4bc0 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -57,7 +57,7 @@ function getKeyByValue(object, value) {
  *  @returns target gene's category code for a given functional annotation type.
  */
 function getCagForType(geneFunctions, fn_type) {
-  let out = geneFunctions != null && geneFunctions[fn_type] != null ? geneFunctions[fn_type][1] : null;
+  let out = (geneFunctions != null && geneFunctions[fn_type] != null) ? geneFunctions[fn_type][1] : null;
   if(out && out.indexOf(',') != -1) out = out.substr(0,out.indexOf(',')); // take first cag in case of a comma-separated list
   if(out && out.indexOf(';') != -1) out = out.substr(0,out.indexOf(';'));
   if(out && out.indexOf('!!!') != -1) out = out.substr(0,out.indexOf('!!!'));

From d2f1c92b91c8df1972dbb9bcf453c170242cb3dc Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 22 Mar 2023 00:16:54 -0500
Subject: [PATCH 0810/1020] color genes by either functional annotation OR
 user-defined colors

---
 anvio/data/interactive/genomeview.html        |  6 ++++
 .../data/interactive/js/genomeview/drawer.js  | 29 ++++++++++---------
 anvio/data/interactive/js/genomeview/main.js  |  2 +-
 anvio/data/interactive/js/genomeview/ui.js    |  4 +++
 4 files changed, 27 insertions(+), 14 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 1ade66b22b..ef00fca754 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -299,6 +299,12 @@ <h4 class="modal-title">Lasso</h4>
       </div>
 
       <tbody>
+        <tr>
+          <td style="margin-bottom: 10px;">Apply user-defined gene colors:</td>
+          <td><input type="checkbox" id="user_defined_colors" value="unchecked" style="margin-bottom: 10px;">
+          </td>
+        </tr>
+        <br>
         <tr>
           <td style="margin-bottom: 10px;">Only show categories in the current render window:</td>
           <td><input type="checkbox" id="show_only_cags_in_window" value="unchecked" style="margin-bottom: 10px;">
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index a50a27741a..817ee74397 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -435,18 +435,26 @@ GenomeDrawer.prototype.addBackgroundShade = function (top, left, width, height,
 GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
   let ind = this.settings['genomeData']['genomes'].findIndex(g => g[0] == genomeID);
   let functions = this.settings['genomeData']['genomes'][ind][1].genes.functions[geneID];
+  let color;
 
-  let color = $('#picker_None').length > 0 ? $('#picker_None').attr('color') : 'gray';
-  let cag = getCagForType(functions, color_db);
+  if($('#user_defined_colors').is(':checked')) {
+    color = '#808080' // default = grey
 
-  // TODO: use state instead of hardcoded color pickers
+    // check if gene is highlighted
+    // possibly deprecated - requires new table for user-defined colors
+    let pickerCode = genomeID + '-' + geneID;
+    if ($('#picker_' + pickerCode).length > 0) {
+      console.log(pickerCode)
+      color = $('#picker_' + pickerCode).attr('color');
+    }
 
-  // check if gene is highlighted
-  // possibly deprecated - requires new table for user-defined colors
-  let pickerCode = genomeID + '-' + geneID;
-  if ($('#picker_' + pickerCode).length > 0) {
-    color = $('#picker_' + pickerCode).attr('color');
+    // check for set colors
+    if (settings['display']['colors']['genes'][genomeID] && settings['display']['colors']['genes'][genomeID][geneID]) {
+      color = settings['display']['colors']['genes'][genomeID][geneID];
+    }
   } else {
+    color = $('#picker_None').length > 0 ? $('#picker_None').attr('color') : 'gray';
+    let cag = getCagForType(functions, color_db);
     if (cag) {
       cag = getCleanCagCode(cag);
       let color_other = $('#picker_Other').length > 0 ? $('#picker_Other').attr('color') : 'white';
@@ -463,11 +471,6 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
     }
   }
 
-  // check for set colors
-  if (settings['display']['colors']['genes'][genomeID] && settings['display']['colors']['genes'][genomeID][geneID]) {
-    color = settings['display']['colors']['genes'][genomeID][geneID];
-  }
-
   let length = (gene.stop - gene.start) * scaleFactor;
   let stemLength = length - 25 > 0 ? length - 25 : 0;
 
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 177f6e3019..925c32ea5e 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -317,6 +317,7 @@ function serializeSettings() {
   state['display']['xDisps'] = xDisps;
   state['display']['thresh-count-gene-colors'] = $('#thresh_count').val() // min # occurences of annotation for filtering gene color table
   state['display']['adlPtsPerLayer'] = $('#adl_pts_per_layer').val() // number of data points to be subsampled per ADL. TODO: more meaningful default?
+  state['display']['user-defined-colors'] = $('#user_defined_colors').is(':checked')
 
   $('.annotation_color').each((idx, row) => {
     let color = $(row).attr('color')
@@ -489,7 +490,6 @@ function processState(stateName, stateData) {
   if(stateData?.['display']?.['colors']?.hasOwnProperty('genome-label')) {
     settings['display']['colors']['genome-label'] = stateData['display']['colors']['genome-label'];
   } else {
-    console.log("OOPS")
     settings['display']['colors']['genome-label'] = '#000000'
   }
 
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index dd8cea17e2..cafb39b19e 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -231,6 +231,9 @@ function setEventListeners(){
     settings['display']['link-gene-label-color-source'] = !settings['display']['link-gene-label-color-source'];
     drawer.draw()
   })
+  $('#user_defined_colors').on('change', function () {
+    drawer.draw();
+  });
   $('#show_only_cags_in_window').on('change', function () {
     filter_gene_colors_to_window = !filter_gene_colors_to_window;
     generateColorTable(settings.display.colors.genes.annotations[color_db], color_db);
@@ -315,6 +318,7 @@ function setEventListeners(){
   $('#show_gene_labels_box').prop("checked", settings['display']['show-gene-labels']);
   $('#show_dynamic_scale_box').prop("checked", settings['display']['dynamic-scale-interval']);
   $('#link_gene_label_color_source_box').prop("checked", settings['display']['link-gene-label-color-source']);
+  $('#user_defined_colors').prop("checked", settings['display']['user-defined-colors']);
 
   $("#tabular-modal-body").on('shown.bs.modal', function(){
     showTabularModal()

From bac5b814e6d972d4f89273aadad9f1375e2e184e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 22 Mar 2023 15:45:37 -0500
Subject: [PATCH 0811/1020] disable color pickers when user-defined colors is
 turned off

---
 anvio/data/interactive/js/genomeview/ui.js | 15 +++++++++++++++
 1 file changed, 15 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index cafb39b19e..177711878d 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -553,6 +553,11 @@ function showDeepDiveToolTip(event){
     submit: 0,
     colorScheme: 'light',
     onChange: function(hsb, hex, rgb, el, bySetColor) {
+        if(!$('#user_defined_colors').is(':checked')) {
+          $('#picker_tooltip').colpickHide();
+          toastr.warning('Cannot color genes manually when user-defined colors are turned off: please enable user-defined colors in the settings panel');
+          return;
+        }
         $(el).css('background-color', '#' + hex);
         $(el).attr('color', '#' + hex);
         if (!bySetColor) $(el).val(hex);
@@ -815,6 +820,11 @@ function showTabularModal(){
     submit: 0,
     colorScheme: 'light',
     onChange: function(hsb, hex, rgb, el, bySetColor) {
+        if(!$('#user_defined_colors').is(':checked')) {
+          $('.colorpicker').colpickHide();
+          toastr.warning('Cannot color genes manually when user-defined colors are turned off: please enable user-defined colors in the settings panel')
+          return;
+        }
         $(el).css('background-color', '#' + hex);
         $(el).attr('color', '#' + hex);
         if (!bySetColor) $(el).val(hex);
@@ -977,6 +987,11 @@ function showLassoMenu(selected_genes, x, y) {
       submit: 0,
       colorScheme: 'light',
       onChange: function(hsb, hex, rgb, el, bySetColor) {
+          if(!$('#user_defined_colors').is(':checked')) {
+            $('#picker_lasso').colpickHide();
+            toastr.warning('Cannot color genes manually when user-defined colors are turned off: please enable user-defined colors in the settings panel')
+            return;
+          }
           $(el).css('background-color', '#' + hex);
           $(el).attr('color', '#' + hex);
           if (!bySetColor) $(el).val(hex);

From 1ed57f79d36c0e90b52fdea0a0fb993c2950ab4f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 01:07:22 -0500
Subject: [PATCH 0812/1020] typo

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 817ee74397..0ff2663f98 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -692,7 +692,7 @@ GenomeDrawer.prototype.setPtsPerADL = function (newResolution) {
   if (isNaN(newResolution)) return;
   newResolution = parseInt(newResolution);
   if (newResolution < 0 || newResolution > genomeMax) {
-    alert(`Invalid value, genome spacing must be in range 0-${genomeMax}.`);
+    alert(`Invalid value, points per additional data layer must be in range 0-${genomeMax}.`);
     return;
   }
   settings['display']['adlPtsPerLayer'] = newResolution;

From 54fec57b1d1c11ac9f6c6ad43babb10273b9b3c6 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 01:34:32 -0500
Subject: [PATCH 0813/1020] add new canvas for sticky genome labels

---
 anvio/data/interactive/genomeview.html        |  1 +
 .../data/interactive/js/genomeview/drawer.js  |  1 +
 anvio/data/interactive/js/genomeview/main.js  | 32 +++++++++++++++----
 3 files changed, 27 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index ef00fca754..ff384d3b3c 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -68,6 +68,7 @@
   </div>
   <div class="container">
     <div id='labelAndMainContainer'>
+      <canvas id="genomeLabelCanvas" height="700px"></canvas>
       <canvas id="myCanvas" height="700px"></canvas>
     </div>
     <div id='scaleContainer'>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 0ff2663f98..4124d27a97 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -30,6 +30,7 @@ GenomeDrawer.prototype.draw = function () {
   canvas.clear()
   labelSpacing = 30 // reset to default value upon each draw() call
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
+  labelCanvas.setHeight(calculateMainCanvasHeight());
 
   this.settings['genomeData']['genomes'].map((genome, idx) => {
     this.addLayers(idx)
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 925c32ea5e..64ddbaef66 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -33,7 +33,7 @@ var settings = {} // packaged obj sent off to GenomeDrawer
 var xDisps = {};
 var renderWindow = []; 
 var genomeMax = 0;
-var yOffset = 0 // vertical space between additional data layers
+var yOffset = 0 // y-location for the current additional data layer
 var xDisplacement = 0; // x-offset of genome start, activated if genome labels are shown
 var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
 var maxGroupSize = 2 // used to calculate group height. base of 2 as each group will contain at minimum a genome layer + group ruler.
@@ -498,6 +498,13 @@ function processState(stateName, stateData) {
   } else {
     settings['display']['colors']['gene-label'] = '#000000'
   }
+
+  if(stateData?.['display']?.hasOwnProperty('genome-spacing')) {
+    spacing = parseInt(stateData['display']['genome-spacing']);
+  } else {
+    spacing = 200
+  }
+  $("#genome_spacing").val(spacing);
 }
 
 function loadAll(loadType) {
@@ -505,7 +512,24 @@ function loadAll(loadType) {
   canvas = new fabric.Canvas('myCanvas');
   canvas.setWidth(VIEWER_WIDTH * 0.85);
 
+  labelCanvas = new fabric.Canvas('genomeLabelCanvas');
+  labelCanvas.setWidth(settings['display']['show-genome-labels'] ? VIEWER_WIDTH * 0.05 : 0);
+
   $('.container').css({ 'height': VIEWER_HEIGHT + 'px', 'overflow-y': 'auto' })
+
+  // draw genome labels
+  settings['genomeData']['genomes'].map(g => g[0]).forEach((genomeName,i) => {
+    let genomeHeight = spacing + maxGroupSize * groupLayerPadding;
+    let label = new fabric.Text(genomeName, {
+      angle: 270,
+      top: marginTop + genomeHeight + i*(groupMargin+genomeHeight),
+      stroke: settings['display']['genome-label-color'],
+      fontSize: 30,
+      fontFamily: 'sans-serif'
+    });
+    labelCanvas.add(label);
+  });
+
   xDisplacement = settings['display']['show-genome-labels'] ? 120 : 0;
   if(settings?.['display']?.['xDisps']) {
     xDisps = settings?.['display']['xDisps'];
@@ -517,12 +541,6 @@ function loadAll(loadType) {
 
   calculateMaxGenomeLength()
 
-  if (settings['display']['show-gene-labels'] && parseInt(settings['display']['arrow-style']) != 3) {
-    marginTop = 60;
-    spacing = settings['display']['genome-spacing'] ? parseInt(settings['display']['genome-spacing']) : 200; // TODO maybe we refactor this out into a setSpacing() method for clarity?
-    $("#genome_spacing").val(spacing);
-  }
-
   if(loadType == 'init') {
     $('#gene_color_order').append($('<option>', {
       value: 'Source',

From 24ea5470db8d8a01f3260a335ab48c17668dd87a Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 01:34:42 -0500
Subject: [PATCH 0814/1020] cosmetics

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 4124d27a97..2872fc0033 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -396,7 +396,7 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function (genomeID, layerPos, laye
     ruler.addWithUpdate();
     canvas.add(ruler);
   }
-  this.addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
+  this.addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight+5, orderIndex)
 }
 
 /*

From 30fb1d7b9e4be6523af3f47b72d49c2b458b600d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 01:51:43 -0500
Subject: [PATCH 0815/1020] update toggle genome labels

---
 anvio/data/interactive/js/genomeview/drawer.js     | 8 ++------
 anvio/data/interactive/js/genomeview/main.js       | 8 +++-----
 anvio/data/interactive/js/genomeview/navigation.js | 2 +-
 anvio/data/interactive/js/genomeview/ui.js         | 7 +++++--
 anvio/data/interactive/js/genomeview/utils.js      | 2 +-
 5 files changed, 12 insertions(+), 15 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 2872fc0033..3e46e59252 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -99,7 +99,7 @@ GenomeDrawer.prototype.addGroupBorder = function (yOffset, orderIndex) {
   let rect = new fabric.Rect({
     id: 'groupBorder' + orderIndex,
     top: top,
-    left: left,
+    left: left-50,
     width: width,
     height: height,
     stroke: 'pink',
@@ -131,10 +131,6 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
   let genomeID = genome[0];
   let y = marginTop + yOffset + layerPos + (layerHeight / 2) + (orderIndex * groupMargin) // render arrows in the center of genome layer's allotted vertical space
 
-  if (settings['display']['show-genome-labels']) {
-    canvas.add(new fabric.Text(genomeID, { top: y - 5, selectable: false, fontSize: settings['display']['genome-label-size'], fontFamily: 'sans-serif', fontWeight: 'bold', fill: $('#genome_label_color').attr('color') }));
-  }
-
   let [start, stop] = percentScale ? getRenderXRangeForFrac() : renderWindow.map(x => x * scaleFactor + xDisps[genomeID]);
   start = clamp(start > xDisps[genomeID] ? start : xDisps[genomeID], calcXBounds()[0], calcXBounds()[1]);
   stop = clamp(stop, calcXBounds()[0], calcXBounds()[1]);
@@ -708,7 +704,7 @@ GenomeDrawer.prototype.showAllADLPts = function () {
 
 GenomeDrawer.prototype.alignRulers = function () {
   for (genome of this.settings['genomeData']['genomes']) {
-    xDisps[genome[0]] = xDisplacement;
+    xDisps[genome[0]] = 0;
   }
   percentScale = false;
   drawScale();
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 64ddbaef66..0b800b28a6 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -34,7 +34,6 @@ var xDisps = {};
 var renderWindow = []; 
 var genomeMax = 0;
 var yOffset = 0 // y-location for the current additional data layer
-var xDisplacement = 0; // x-offset of genome start, activated if genome labels are shown
 var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
 var maxGroupSize = 2 // used to calculate group height. base of 2 as each group will contain at minimum a genome layer + group ruler.
 var marginTop = 20; // vertical margin at the top of the genome display
@@ -47,7 +46,7 @@ var order_gene_colors_by_count = true; // if true, order annotations on gene col
 var filter_gene_colors_to_window = false; // if true, only display gene colors in current render window, otherwise show all gene colors in split
 var firstDraw = true // flag to determine whether to set zoom to initial zoom level
 var canvas;
-var genomeLabelsCanvas;
+var labelCanvas;
 var brush;
 var drawer
 var color_db; // functional annotation type currently being used to color genes
@@ -513,7 +512,7 @@ function loadAll(loadType) {
   canvas.setWidth(VIEWER_WIDTH * 0.85);
 
   labelCanvas = new fabric.Canvas('genomeLabelCanvas');
-  labelCanvas.setWidth(settings['display']['show-genome-labels'] ? VIEWER_WIDTH * 0.05 : 0);
+  toggleLabelCanvas();
 
   $('.container').css({ 'height': VIEWER_HEIGHT + 'px', 'overflow-y': 'auto' })
 
@@ -530,12 +529,11 @@ function loadAll(loadType) {
     labelCanvas.add(label);
   });
 
-  xDisplacement = settings['display']['show-genome-labels'] ? 120 : 0;
   if(settings?.['display']?.['xDisps']) {
     xDisps = settings?.['display']['xDisps'];
   } else {
     for (genome of settings['genomeData']['genomes']) {
-      xDisps[genome[0]] = xDisplacement;
+      xDisps[genome[0]] = 0;
     }
   }
 
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 02484d8356..c04d10e51c 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -187,7 +187,7 @@ function drawScale() {
       if(settings['display']['dynamic-scale-interval']) drawer.adjustScaleInterval();
 
       drawer.draw()
-      let moveToX = percentScale ? getVPTForFrac()[0] : xDisplacement+scaleFactor*b[0];
+      let moveToX = percentScale ? getVPTForFrac()[0] : scaleFactor*b[0];
       canvas.absolutePan({x: moveToX, y: 0});
 
       // TODO: restrict min view to 300 NTs? (or e.g. scaleFactor <= 4)
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 177711878d..e2d1ae68dd 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -211,9 +211,8 @@ function setEventListeners(){
   });
   $('#show_genome_labels_box').on('change', function () {
     settings['display']['show-genome-labels'] = !settings['display']['show-genome-labels'];
-    xDisplacement = settings['display']['show-genome-labels'] ? 120 : 0;
     alignToGC = null;
-    drawer.draw()
+    toggleLabelCanvas();
   });
   $('#gene_label_source').on('change', function(){
     if(settings['display']['link-gene-label-color-source']){
@@ -1151,6 +1150,10 @@ function toggleAdditionalDataLayer(e){
   drawer.draw()
 }
 
+function toggleLabelCanvas() {
+  labelCanvas.setWidth(settings['display']['show-genome-labels'] ? VIEWER_WIDTH * 0.05 : 0);
+}
+
 /*
  *  capture user bookmark values and store obj in state
  */
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 730886e056..f1292e9932 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -102,7 +102,7 @@ function checkGeneLabels() {
  */
  function getNTRangeForVPT() {
   let vpt = canvas.viewportTransform;
-  let window_left = Math.floor((-1*vpt[4]-xDisplacement)/scaleFactor);
+  let window_left = Math.floor((-1*vpt[4])/scaleFactor);
   let window_right = Math.floor(window_left + canvas.getWidth()/scaleFactor);
   // if window is out of bounds, shift to be in bounds
   if(window_left < 0) {

From eeda009eb7ae5372781ca182f6991ae5212f8851 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 02:21:09 -0500
Subject: [PATCH 0816/1020] recalculate canvas width on toggle genome labels

---
 anvio/data/interactive/js/genomeview/ui.js | 15 ++++++++++++++-
 1 file changed, 14 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index e2d1ae68dd..c3abe15227 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1151,7 +1151,20 @@ function toggleAdditionalDataLayer(e){
 }
 
 function toggleLabelCanvas() {
-  labelCanvas.setWidth(settings['display']['show-genome-labels'] ? VIEWER_WIDTH * 0.05 : 0);
+  if(settings['display']['show-genome-labels']) {
+    labelCanvas.setWidth(VIEWER_WIDTH * 0.05);
+    canvas.setWidth(VIEWER_WIDTH * 0.85);
+  } else {
+    labelCanvas.setWidth(0);
+    canvas.setWidth(VIEWER_WIDTH * 0.90);
+  }
+  if(!firstDraw) {
+    let ntsToShow = $('#brush_end').val() - $('#brush_start').val();
+    scaleFactor = percentScale ? canvas.getWidth()/(ntsToShow*(calcXBounds()[1]-calcXBounds()[0])/scaleFactor) : canvas.getWidth()/ntsToShow;
+    drawer.draw();
+    let moveToX = percentScale ? getVPTForFrac()[0] : scaleFactor*$('#brush_start').val();
+    canvas.absolutePan({x: moveToX, y: 0});
+  }
 }
 
 /*

From 983db637206e4fe057405d86170305ff176cf7a6 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 02:32:53 -0500
Subject: [PATCH 0817/1020] fix

---
 anvio/data/interactive/js/genomeview/ui.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index c3abe15227..67d16d1c56 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1391,6 +1391,7 @@ function resetFunctionColors(fn_colors=null) {
   if($('#gene_color_order') == null) return;
   delete settings['display']['colors']['genes']['annotations'][color_db];
   generateColorTable(fn_colors, color_db);
+  drawer.draw();
 }
 
 /*

From 527c464c56c9d21df5d8b2c547f9d963d63346ab Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 02:49:08 -0500
Subject: [PATCH 0818/1020] fix

---
 anvio/data/interactive/js/genomeview/main.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 0b800b28a6..875dc482b0 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -522,7 +522,7 @@ function loadAll(loadType) {
     let label = new fabric.Text(genomeName, {
       angle: 270,
       top: marginTop + genomeHeight + i*(groupMargin+genomeHeight),
-      stroke: settings['display']['genome-label-color'],
+      fill: settings['display']['colors']['genome-label'],
       fontSize: 30,
       fontFamily: 'sans-serif'
     });

From 51cf65a558729533ddf83bee72b8b6b4447c0734 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 02:55:16 -0500
Subject: [PATCH 0819/1020] refactor drawing genome labels into new function

---
 anvio/data/interactive/js/genomeview/main.js | 13 +------------
 anvio/data/interactive/js/genomeview/ui.js   | 14 ++++++++++++++
 2 files changed, 15 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 875dc482b0..3764111822 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -516,18 +516,7 @@ function loadAll(loadType) {
 
   $('.container').css({ 'height': VIEWER_HEIGHT + 'px', 'overflow-y': 'auto' })
 
-  // draw genome labels
-  settings['genomeData']['genomes'].map(g => g[0]).forEach((genomeName,i) => {
-    let genomeHeight = spacing + maxGroupSize * groupLayerPadding;
-    let label = new fabric.Text(genomeName, {
-      angle: 270,
-      top: marginTop + genomeHeight + i*(groupMargin+genomeHeight),
-      fill: settings['display']['colors']['genome-label'],
-      fontSize: 30,
-      fontFamily: 'sans-serif'
-    });
-    labelCanvas.add(label);
-  });
+  drawGenomeLabels();
 
   if(settings?.['display']?.['xDisps']) {
     xDisps = settings?.['display']['xDisps'];
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 67d16d1c56..8f7d2285a0 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1478,6 +1478,20 @@ function showAllHiddenGenes(){
   drawer.draw()
 }
 
+function drawGenomeLabels() {
+  settings['genomeData']['genomes'].map(g => g[0]).forEach((genomeName,i) => {
+    let genomeHeight = spacing + maxGroupSize * groupLayerPadding;
+    let label = new fabric.Text(genomeName, {
+      angle: 270,
+      top: marginTop + genomeHeight + i*(groupMargin+genomeHeight),
+      fill: settings['display']['colors']['genome-label'],
+      fontSize: 30,
+      fontFamily: 'sans-serif'
+    });
+    labelCanvas.add(label);
+  });
+}
+
 function exportToSVG() {
   // TODO: 1) clip to viewbox (including vertical scroll?)
 

From a0be9b6046461bf7e7692d7124166c34e3cea30d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 02:58:35 -0500
Subject: [PATCH 0820/1020] update genome label colors automatically

---
 anvio/data/interactive/js/genomeview/ui.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 8f7d2285a0..e4124ad8a8 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -292,7 +292,6 @@ function setEventListeners(){
           $(el).css('background-color', '#' + hex);
           $(el).attr('color', '#' + hex);
           if (!bySetColor) $(el).val(hex);
-          drawer.draw();
       }
   }).keyup(function() {
       $(this).colpickSetColor(this.value);

From 41d843fa020170f50a00553005aa0e7916b191d8 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 02:59:11 -0500
Subject: [PATCH 0821/1020] update genome label colors automatically (actually)

---
 anvio/data/interactive/js/genomeview/ui.js | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index e4124ad8a8..fc4358b318 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -292,6 +292,7 @@ function setEventListeners(){
           $(el).css('background-color', '#' + hex);
           $(el).attr('color', '#' + hex);
           if (!bySetColor) $(el).val(hex);
+          drawGenomeLabels();
       }
   }).keyup(function() {
       $(this).colpickSetColor(this.value);
@@ -1478,12 +1479,13 @@ function showAllHiddenGenes(){
 }
 
 function drawGenomeLabels() {
+  labelCanvas.clear();
   settings['genomeData']['genomes'].map(g => g[0]).forEach((genomeName,i) => {
     let genomeHeight = spacing + maxGroupSize * groupLayerPadding;
     let label = new fabric.Text(genomeName, {
       angle: 270,
       top: marginTop + genomeHeight + i*(groupMargin+genomeHeight),
-      fill: settings['display']['colors']['genome-label'],
+      fill: $('#genome_label_color').attr('color'),
       fontSize: 30,
       fontFamily: 'sans-serif'
     });

From 5c94712159833d7df6374bcbebd073b37f5ff1a4 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 15:04:28 -0500
Subject: [PATCH 0822/1020] load genome label color correctly and use hardcoded
 labelCanvas width

---
 anvio/data/interactive/js/genomeview/main.js | 6 +++---
 anvio/data/interactive/js/genomeview/ui.js   | 9 +++++----
 2 files changed, 8 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 3764111822..b2d3706d7d 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -512,10 +512,12 @@ function loadAll(loadType) {
   canvas.setWidth(VIEWER_WIDTH * 0.85);
 
   labelCanvas = new fabric.Canvas('genomeLabelCanvas');
-  toggleLabelCanvas();
+  setLabelCanvas();
 
   $('.container').css({ 'height': VIEWER_HEIGHT + 'px', 'overflow-y': 'auto' })
 
+  $('#genome_label_color').css('background-color', settings['display']['colors']['genome-label']);
+  $('#genome_label_color').attr('color', settings['display']['colors']['genome-label']);
   drawGenomeLabels();
 
   if(settings?.['display']?.['xDisps']) {
@@ -541,9 +543,7 @@ function loadAll(loadType) {
     }
   }
 
-  $('#genome_label_color').css('background-color', settings['display']['colors']['genome-label']);
   $('#gene_label_color').css('background-color', settings['display']['colors']['gene-label']);
-  $('#genome_label_color').attr('color', settings['display']['colors']['genome-label']);
   $('#gene_label_color').attr('color', settings['display']['colors']['gene-label']);
 
   color_db = settings?.['display']?.['color_db'] ? settings['display']['color_db'] : $('#gene_color_order').val();
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index fc4358b318..1a77ffa2f9 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -212,7 +212,7 @@ function setEventListeners(){
   $('#show_genome_labels_box').on('change', function () {
     settings['display']['show-genome-labels'] = !settings['display']['show-genome-labels'];
     alignToGC = null;
-    toggleLabelCanvas();
+    setLabelCanvas();
   });
   $('#gene_label_source').on('change', function(){
     if(settings['display']['link-gene-label-color-source']){
@@ -1150,10 +1150,11 @@ function toggleAdditionalDataLayer(e){
   drawer.draw()
 }
 
-function toggleLabelCanvas() {
+function setLabelCanvas() {
+  let labelCanvasWidth = 70; // hardcoded based on fontSize=30
   if(settings['display']['show-genome-labels']) {
-    labelCanvas.setWidth(VIEWER_WIDTH * 0.05);
-    canvas.setWidth(VIEWER_WIDTH * 0.85);
+    labelCanvas.setWidth(labelCanvasWidth);
+    canvas.setWidth((VIEWER_WIDTH * 0.90) - labelCanvasWidth);
   } else {
     labelCanvas.setWidth(0);
     canvas.setWidth(VIEWER_WIDTH * 0.90);

From 4cfbf24f0ba6e4dfca8ea64aad0f348547736205 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 15:40:51 -0500
Subject: [PATCH 0823/1020] `setEventListeners` and `setCanvasListeners` should
 be separate functions

---
 anvio/data/interactive/js/genomeview/main.js |  1 -
 anvio/data/interactive/js/genomeview/ui.js   | 55 +++++++++++---------
 2 files changed, 30 insertions(+), 26 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index b2d3706d7d..81e5604d26 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -155,7 +155,6 @@ function loadState() {
       try {
         processState(state_name, response['content']);
         loadAll('reload')
-        setEventListeners() // this needs to be called a second time on reload for some reason...
       } catch (e) {
         console.error("Exception thrown", e.stack);
         toastr.error('Failed to parse state data, ' + e);
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 1a77ffa2f9..a62519c578 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -24,9 +24,9 @@
  */
 
 /*
- *  set event listeners for DOM elements, user input, default jquery values
+ *  set event listeners for fabric canvas (must be called whenever canvas is reloaded)
  */
-function setEventListeners(){
+function setCanvasListeners(){
   canvas.on('mouse:over', (event) => {
     if (event.target && event.target.id === 'arrow') {
       showToolTip(event)
@@ -132,6 +132,34 @@ function setEventListeners(){
     // }
   })
 
+  // can either set arrow click listener on the canvas to check for all arrows, or when arrow is created.
+
+  // drag box selection
+  canvas.on('selection:created', (e) => {
+    let selected_genes = e.selected.filter(obj => obj.id == 'arrow');
+
+    if(selected_genes.length > 1) {
+      showLassoMenu(selected_genes, e.e.clientX, e.e.clientY);
+    }
+
+    // disable group selection
+    if (e.target.type === 'activeSelection') {
+      canvas.discardActiveObject();
+    }
+  })
+
+  canvas.on('mouse:down', (event) => {
+    if(event.target && event.target.id === 'arrow'){
+      showDeepDiveToolTip(event)
+    }
+    $('#lasso-modal-body').modal('hide')
+  })
+}
+
+/*
+ *  set event listeners for DOM elements, user input, default jquery values (this should only be called once)
+ */
+function setEventListeners(){
   $('#alignClusterInput').on('keydown', function (e) {
     if (e.keyCode == 13) { // 13 = enter key
       drawer.alignToCluster($(this).val());
@@ -326,29 +354,6 @@ function setEventListeners(){
     $('#tabular-modal-nav-tabs').html('')
     $('#modal-tab-content').html('')
   });
-
-  // can either set arrow click listener on the canvas to check for all arrows, or when arrow is created.
-
-  // drag box selection
-  canvas.on('selection:created', (e) => {
-    let selected_genes = e.selected.filter(obj => obj.id == 'arrow');
-
-    if(selected_genes.length > 1) {
-      showLassoMenu(selected_genes, e.e.clientX, e.e.clientY);
-    }
-
-    // disable group selection
-    if (e.target.type === 'activeSelection') {
-      canvas.discardActiveObject();
-    }
-  })
-
-  canvas.on('mouse:down', (event) => {
-    if(event.target && event.target.id === 'arrow'){
-      showDeepDiveToolTip(event)
-    }
-    $('#lasso-modal-body').modal('hide')
-  })
 }
 function showDeepDiveToolTip(event){
   $('.canvas-container').dblclick(function(){

From 62404d76d47e37333d8fc5aa7127898081627b3f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 15:41:55 -0500
Subject: [PATCH 0824/1020] fix

---
 anvio/data/interactive/js/genomeview/main.js | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 81e5604d26..3acbe919a6 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -508,7 +508,7 @@ function processState(stateName, stateData) {
 function loadAll(loadType) {
   if(canvas) canvas.dispose(); // clear old canvas in fabric if we are calling loadAll from loadState (bugs here cause mismatch b/w 'this' and 'canvas')
   canvas = new fabric.Canvas('myCanvas');
-  canvas.setWidth(VIEWER_WIDTH * 0.85);
+  //canvas.setWidth((VIEWER_WIDTH * 0.90) - 70);
 
   labelCanvas = new fabric.Canvas('genomeLabelCanvas');
   setLabelCanvas();
@@ -551,7 +551,8 @@ function loadAll(loadType) {
 
   buildGenomesTable(settings['genomeData']['genomes'], 'alphabetical') // hardcode order method until backend order data is hooked in
   drawScale();
-  setEventListeners()
+  if(firstDraw) setEventListeners();
+  setCanvasListeners();
 
   buildGeneLabelsSelect()
   let [start, stop] = settings['display']['nt_window'];

From 56e3ecde8eaf7a1c6cf0574d5cc457cabbfe0337 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 16:13:06 -0500
Subject: [PATCH 0825/1020] update checkbox values in processState

---
 anvio/data/interactive/js/genomeview/main.js | 6 ++++++
 anvio/data/interactive/js/genomeview/ui.js   | 7 +------
 2 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 3acbe919a6..21264036a0 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -503,6 +503,12 @@ function processState(stateName, stateData) {
     spacing = 200
   }
   $("#genome_spacing").val(spacing);
+
+  $('#show_genome_labels_box').prop("checked", settings['display']['show-genome-labels']);
+  $('#show_gene_labels_box').prop("checked", settings['display']['show-gene-labels']);
+  $('#show_dynamic_scale_box').prop("checked", settings['display']['dynamic-scale-interval']);
+  $('#link_gene_label_color_source_box').prop("checked", settings['display']['link-gene-label-color-source']);
+  $('#user_defined_colors').prop("checked", settings['display']['user-defined-colors']);
 }
 
 function loadAll(loadType) {
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index a62519c578..49f47392c5 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -339,13 +339,8 @@ function setEventListeners(){
       $(this).colpickSetColor(this.value);
   });
 
-  $('#deepdive-tooltip-body').hide() // set initual tooltip hide value
+  $('#deepdive-tooltip-body').hide() // set initial tooltip hide value
   $('#tooltip-body').hide()
-  $('#show_genome_labels_box').prop("checked", settings['display']['show-genome-labels']);
-  $('#show_gene_labels_box').prop("checked", settings['display']['show-gene-labels']);
-  $('#show_dynamic_scale_box').prop("checked", settings['display']['dynamic-scale-interval']);
-  $('#link_gene_label_color_source_box').prop("checked", settings['display']['link-gene-label-color-source']);
-  $('#user_defined_colors').prop("checked", settings['display']['user-defined-colors']);
 
   $("#tabular-modal-body").on('shown.bs.modal', function(){
     showTabularModal()

From ce9bb611d09d6ad5a3a70357de6d6348940c6f1f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 16:13:26 -0500
Subject: [PATCH 0826/1020] dispose old labelCanvas

---
 anvio/data/interactive/js/genomeview/main.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 21264036a0..7493a9f9ab 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -514,10 +514,10 @@ function processState(stateName, stateData) {
 function loadAll(loadType) {
   if(canvas) canvas.dispose(); // clear old canvas in fabric if we are calling loadAll from loadState (bugs here cause mismatch b/w 'this' and 'canvas')
   canvas = new fabric.Canvas('myCanvas');
-  //canvas.setWidth((VIEWER_WIDTH * 0.90) - 70);
 
+  if(labelCanvas) labelCanvas.dispose();
   labelCanvas = new fabric.Canvas('genomeLabelCanvas');
-  setLabelCanvas();
+  setLabelCanvas(); // also sets canvas width
 
   $('.container').css({ 'height': VIEWER_HEIGHT + 'px', 'overflow-y': 'auto' })
 

From 8fcdb4be87d0ce01ed091dfcf67d36eab15308cd Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 18:46:59 -0500
Subject: [PATCH 0827/1020] temp fix for load state with genome labels off

---
 anvio/data/interactive/js/genomeview/main.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 7493a9f9ab..fab26bad35 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -571,6 +571,7 @@ function loadAll(loadType) {
   brush.extent([start, stop]);
   brush(d3.select(".brush"));
   updateRenderWindow();
+  setLabelCanvas(); // set a second time to adjust to new brush extent
 
   console.log('Sending this data obj to GenomeDrawer', settings)
   drawer = new GenomeDrawer(settings)

From 862a5589abb1269bdacf9e5ec0f7ceb245e038f1 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 18:51:16 -0500
Subject: [PATCH 0828/1020] reordering genomes triggers label redraw

---
 anvio/data/interactive/js/genomeview/ui.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 49f47392c5..d2b44e4e74 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1079,6 +1079,7 @@ function buildGenomesTable(genomes, order){
 
   $("#tbody_genomes").on("sortupdate", (event, ui) => {
     changeGenomeOrder($("#tbody_genomes").sortable('toArray'))
+    drawGenomeLabels() // update label order
   })
 }
 

From b578c1f9e85feaa31a8c36b18e59e9ed7f06f914 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 18:58:22 -0500
Subject: [PATCH 0829/1020] set genome label font size dynamically to match
 spacing

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 +
 anvio/data/interactive/js/genomeview/ui.js     | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 3e46e59252..cd0fd427c8 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -724,6 +724,7 @@ GenomeDrawer.prototype.setGenomeSpacing = function (newSpacing) {
   }
   spacing = newSpacing;
   this.draw();
+  drawGenomeLabels();
 }
 
 GenomeDrawer.prototype.setScaleInterval = function (newScale) {
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index d2b44e4e74..777ff61a3f 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1488,7 +1488,7 @@ function drawGenomeLabels() {
       angle: 270,
       top: marginTop + genomeHeight + i*(groupMargin+genomeHeight),
       fill: $('#genome_label_color').attr('color'),
-      fontSize: 30,
+      fontSize: spacing * 3/20,
       fontFamily: 'sans-serif'
     });
     labelCanvas.add(label);

From d6ff7ba70866edb68c77c009e026c29a33f6e17a Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 19:14:00 -0500
Subject: [PATCH 0830/1020] update label canvas width dynamically

---
 anvio/data/interactive/js/genomeview/drawer.js | 3 ++-
 anvio/data/interactive/js/genomeview/main.js   | 1 +
 anvio/data/interactive/js/genomeview/ui.js     | 2 +-
 3 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index cd0fd427c8..458c6b4c74 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -724,7 +724,8 @@ GenomeDrawer.prototype.setGenomeSpacing = function (newSpacing) {
   }
   spacing = newSpacing;
   this.draw();
-  drawGenomeLabels();
+  drawGenomeLabels(); // update label font size
+  setLabelCanvas(); // update label canvas width
 }
 
 GenomeDrawer.prototype.setScaleInterval = function (newScale) {
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index fab26bad35..ac028dd4a4 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -41,6 +41,7 @@ var groupLayerPadding = 10 // padding between each layer in a given genome group
 var groupMargin = 100 // space between each genome group
 var labelSpacing = 30;  // spacing default for genomeLabel canvas
 var spacing = 50; // multiplied by maxGroupSize to determine group height allocation
+var labelCanvasWidth = 70 // default width of genomeLabelCanvas
 var percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.
 var order_gene_colors_by_count = true; // if true, order annotations on gene color table by descending order of count, otherwise order alphabetically
 var filter_gene_colors_to_window = false; // if true, only display gene colors in current render window, otherwise show all gene colors in split
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 777ff61a3f..f5463a734f 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1152,7 +1152,7 @@ function toggleAdditionalDataLayer(e){
 }
 
 function setLabelCanvas() {
-  let labelCanvasWidth = 70; // hardcoded based on fontSize=30
+  labelCanvasWidth = spacing * 7/20;
   if(settings['display']['show-genome-labels']) {
     labelCanvas.setWidth(labelCanvasWidth);
     canvas.setWidth((VIEWER_WIDTH * 0.90) - labelCanvasWidth);

From 2c65f188a3ee8ad61707675d444d7435392605fd Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 19:19:57 -0500
Subject: [PATCH 0831/1020] deprecated

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 --
 anvio/data/interactive/js/genomeview/main.js   | 1 -
 2 files changed, 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 458c6b4c74..e8dd22abcd 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -28,13 +28,11 @@ var GenomeDrawer = function (settings) {
 
 GenomeDrawer.prototype.draw = function () {
   canvas.clear()
-  labelSpacing = 30 // reset to default value upon each draw() call
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
   labelCanvas.setHeight(calculateMainCanvasHeight());
 
   this.settings['genomeData']['genomes'].map((genome, idx) => {
     this.addLayers(idx)
-    labelSpacing += 30
   })
 
   checkGeneLabels();
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index ac028dd4a4..5e7511ab09 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -39,7 +39,6 @@ var maxGroupSize = 2 // used to calculate group height. base of 2 as each group
 var marginTop = 20; // vertical margin at the top of the genome display
 var groupLayerPadding = 10 // padding between each layer in a given genome group
 var groupMargin = 100 // space between each genome group
-var labelSpacing = 30;  // spacing default for genomeLabel canvas
 var spacing = 50; // multiplied by maxGroupSize to determine group height allocation
 var labelCanvasWidth = 70 // default width of genomeLabelCanvas
 var percentScale = false; // if true, scale measured in proportions (0-1) of total sequence breadth rather than NT ranges.

From 8306a19bf611a7280a89e67ae6907b3957020ab2 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 19:22:47 -0500
Subject: [PATCH 0832/1020] disable genome label selection

---
 anvio/data/interactive/js/genomeview/ui.js | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index f5463a734f..656a150781 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1489,7 +1489,9 @@ function drawGenomeLabels() {
       top: marginTop + genomeHeight + i*(groupMargin+genomeHeight),
       fill: $('#genome_label_color').attr('color'),
       fontSize: spacing * 3/20,
-      fontFamily: 'sans-serif'
+      fontFamily: 'sans-serif',
+      selectable: false,
+      hoverCursor: 'default'
     });
     labelCanvas.add(label);
   });

From e2d4ae641e10f4a93c98321e1a5a0a9b0a409208 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 19:51:26 -0500
Subject: [PATCH 0833/1020] fix layer height calculation

---
 anvio/data/interactive/js/genomeview/drawer.js | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index e8dd22abcd..6305f75b29 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -116,10 +116,11 @@ GenomeDrawer.prototype.addGroupBorder = function (yOffset, orderIndex) {
  */
 GenomeDrawer.prototype.calculateLayerSizes = function () {
   let parityHeight = spacing / maxGroupSize
-  let rulerHeight = Math.floor(parityHeight * .5) // some arbitrary percentage of parity since ruler should get less y-axis space
+  let rulerHeight = settings['display']['layers']['Ruler'] ? Math.floor(parityHeight * .5) : 0 // some arbitrary percentage of parity since ruler should get less y-axis space
 
   // with the extra space carved out by a smaller rulerHeight, distribute the excess evenly amongst all layers that are NOT rulers
-  let dataLayerHeight = Math.floor(parityHeight * (1 + (.5 / (maxGroupSize - 1))))
+  let dataLayerHeight = Math.floor(parityHeight + rulerHeight / (maxGroupSize - 1))
+  if(maxGroupSize == 1) dataLayerHeight = parityHeight;
   return [dataLayerHeight, rulerHeight]
 }
 

From 8ef988e21280551beb690d03d0460df7ae02bf58 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 29 Mar 2023 19:57:39 -0500
Subject: [PATCH 0834/1020] fix

---
 anvio/data/interactive/js/genomeview/ui.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 656a150781..d84e83cdfd 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1149,6 +1149,7 @@ function toggleAdditionalDataLayer(e){
     maxGroupSize -= 1 // decrease group height if hiding the layer
   }
   drawer.draw()
+  drawGenomeLabels()
 }
 
 function setLabelCanvas() {

From dc3fa2561fce03438184b3b67913d2b92cdf5b7a Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 30 Mar 2023 13:56:54 -0500
Subject: [PATCH 0835/1020] fix duplicate gene labels select

---
 anvio/data/interactive/js/genomeview/main.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 5e7511ab09..11b95059a8 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -546,6 +546,7 @@ function loadAll(loadType) {
         text: fn
       }));
     }
+    buildGeneLabelsSelect()
   }
 
   $('#gene_label_color').css('background-color', settings['display']['colors']['gene-label']);
@@ -560,7 +561,6 @@ function loadAll(loadType) {
   if(firstDraw) setEventListeners();
   setCanvasListeners();
 
-  buildGeneLabelsSelect()
   let [start, stop] = settings['display']['nt_window'];
   $('#brush_start').val(start);
   $('#brush_end').val(stop);

From 800f98ce6be59ed945327830e5bd6b3011fe455b Mon Sep 17 00:00:00 2001
From: Matthew <mtt.l.kln@gmail.com>
Date: Thu, 30 Mar 2023 21:03:10 +0000
Subject: [PATCH 0836/1020] render nothing for blank user labels

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 6305f75b29..e9661d8ded 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -213,7 +213,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
         if (this.settings['display']?.hasOwnProperty('gene-labels')) {
           return this.settings['display']['gene-labels'][genomeID][geneID]
         } else {
-          return 'None'
+          return ''
         }
       } else {
         // operating under the assumption that
@@ -938,4 +938,4 @@ GenomeDrawer.prototype.setInitialZoom = function(){
     let start = 0
     let stop = genomeMax > 35000 ? 35000 : genomeMax
     zoomOut('partial', start, stop)
-}
\ No newline at end of file
+}

From 94e3ede64509aac675eb94c8858b38f71bb3b882 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 30 Mar 2023 16:04:39 -0500
Subject: [PATCH 0837/1020] save user-defined colors of multiple genomes to
 state

---
 anvio/data/interactive/js/genomeview/ui.js | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index d84e83cdfd..f7e2092b74 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1000,7 +1000,8 @@ function showLassoMenu(selected_genes, x, y) {
           selected_genes.forEach(gene => {
             gene.fill = '#' + hex;
             gene.dirty = true;
-            settings['display']['colors']['genes'][selected_genes[0].genomeID][gene.geneID] = '#' + hex;
+            if(!settings['display']['colors']['genes'][gene.genomeID]) settings['display']['colors']['genes'][gene.genomeID] = {};
+            settings['display']['colors']['genes'][gene.genomeID][gene.geneID] = '#' + hex;
           });
           canvas.renderAll();
       }

From 12d06261d19e0505702cb52c71764510f6c7a555 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 5 Apr 2023 19:29:19 -0500
Subject: [PATCH 0838/1020] add genome margin as user-defined setting

---
 anvio/data/interactive/genomeview.html         |  4 ++++
 anvio/data/interactive/js/genomeview/drawer.js | 12 ++++++++++++
 anvio/data/interactive/js/genomeview/main.js   |  8 ++++++++
 anvio/data/interactive/js/genomeview/ui.js     |  6 ++++++
 4 files changed, 30 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index ff384d3b3c..a2ddb2cfac 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -181,6 +181,10 @@ <h4 class="modal-title">Lasso</h4>
             <td>Genome spacing:</td>
             <td><input type="text" class="form-control input-sm" id="genome_spacing" value="30"></td>
           </tr>
+          <tr>
+            <td>Genome margin:</td>
+            <td><input type="text" class="form-control input-sm" id="genome_margin" value="100"></td>
+          </tr>
           <tr>
             <td>Plot scale:</td>
             <td><input type="text" class="form-control input-sm" id="plot_scale" value="(TODO)"></td>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index e9661d8ded..748dc38ea9 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -727,6 +727,18 @@ GenomeDrawer.prototype.setGenomeSpacing = function (newSpacing) {
   setLabelCanvas(); // update label canvas width
 }
 
+GenomeDrawer.prototype.setGenomeMargin = function (newMargin) {
+  if (isNaN(newMargin)) return;
+  newMargin = parseInt(newMargin);
+  if (newMargin < 0 || newMargin > 1000) {
+    alert(`Invalid value, genome margin must be in range 0-1000.`);
+    return;
+  }
+  groupMargin = newMargin;
+  this.draw();
+  drawGenomeLabels(); // update label font size
+}
+
 GenomeDrawer.prototype.setScaleInterval = function (newScale) {
   if (isNaN(newScale)) return;
   newScale = parseInt(newScale);
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 11b95059a8..dfc3e5ff3e 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -290,6 +290,7 @@ function serializeSettings() {
   state['display']['dynamic-scale-interval'] = $('#show_dynamic_scale_box').is(':checked') // if true, scale interval automatically adjusts to zoom level
   state['display']['genome-scale-interval'] = parseInt($('#genome_scale_interval').val())
   state['display']['genome-spacing'] = $('#genome_spacing').val()
+  state['display']['genome-margin'] = $('#genome_margin').val()
   state['display']['arrow-style'] = $('#arrow_style').val()
   state['display']['gene-link-style'] = $('#link_style').val()
   state['display']['gene-shade-style'] = $('#shade_by').val()
@@ -504,6 +505,13 @@ function processState(stateName, stateData) {
   }
   $("#genome_spacing").val(spacing);
 
+  if(stateData?.['display']?.hasOwnProperty('genome-margin')) {
+    groupMargin = parseInt(stateData['display']['genome-margin']);
+  } else {
+    groupMargin = 100
+  }
+  $("#genome_margin").val(groupMargin);
+
   $('#show_genome_labels_box').prop("checked", settings['display']['show-genome-labels']);
   $('#show_gene_labels_box').prop("checked", settings['display']['show-gene-labels']);
   $('#show_dynamic_scale_box').prop("checked", settings['display']['dynamic-scale-interval']);
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index f7e2092b74..e0bf923b36 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -193,6 +193,12 @@ function setEventListeners(){
       $(this).blur();
     }
   });
+  $('#genome_margin').on('keydown', function (e) {
+    if (e.keyCode == 13) { // 13 = enter key
+      drawer.setGenomeMargin($(this).val());
+      $(this).blur();
+    }
+  });
   $('#gene_label').on('keydown', function (e) {
     if (e.keyCode == 13) { // 13 = enter key
       drawer.setGeneLabelSize($(this).val());

From 39c0da5a6deeda6693dc3ccdcf764b9e650d2ab6 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 8 Apr 2023 19:30:46 -0500
Subject: [PATCH 0839/1020] rotate genome labels

---
 anvio/data/interactive/genomeview.html       |  7 +++++++
 anvio/data/interactive/js/genomeview/main.js |  2 ++
 anvio/data/interactive/js/genomeview/ui.js   | 11 +++++++++--
 3 files changed, 18 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index a2ddb2cfac..51f8e78bc3 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -422,6 +422,13 @@ <h4 class="modal-title">Lasso</h4>
                 </div>
               </td>
             </tr>
+            <tr>
+              <td>Rotate labels</td>
+              <td style="float: right">
+                <div style="width: 20px;"><input id="rotate_genome_labels_box" type="checkbox" class="layer_selectors">
+                </div>
+              </td>
+            </tr>
             <tr>
               <td>Genome label size:</td>
               <td><input type="text" class="form-control input-sm" id="genome_label" value="15"
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index dfc3e5ff3e..0183885ea4 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -295,6 +295,7 @@ function serializeSettings() {
   state['display']['gene-link-style'] = $('#link_style').val()
   state['display']['gene-shade-style'] = $('#shade_by').val()
   state['display']['show-genome-labels'] = $('#show_genome_labels_box').is(':checked')
+  state['display']['rotate-genome-labels'] = $('#rotate_genome_labels_box').is(':checked')
   state['display']['genome-label-size'] = $('#genome_label').val() 
   state['display']['colors']['genome-label'] = $('#genome_label_color').attr('color')
   state['display']['show-gene-labels'] = $('#show_gene_labels_box').is(':checked')
@@ -513,6 +514,7 @@ function processState(stateName, stateData) {
   $("#genome_margin").val(groupMargin);
 
   $('#show_genome_labels_box').prop("checked", settings['display']['show-genome-labels']);
+  $('#rotate_genome_labels_box').prop("checked", settings['display']['rotate-genome-labels']);
   $('#show_gene_labels_box').prop("checked", settings['display']['show-gene-labels']);
   $('#show_dynamic_scale_box').prop("checked", settings['display']['dynamic-scale-interval']);
   $('#link_gene_label_color_source_box').prop("checked", settings['display']['link-gene-label-color-source']);
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index e0bf923b36..7cb0cac030 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -248,6 +248,12 @@ function setEventListeners(){
     alignToGC = null;
     setLabelCanvas();
   });
+  $('#rotate_genome_labels_box').on('change', function () {
+    settings['display']['rotate-genome-labels'] = !settings['display']['rotate-genome-labels'];
+    alignToGC = null;
+    drawGenomeLabels();
+    setLabelCanvas();
+  });
   $('#gene_label_source').on('change', function(){
     if(settings['display']['link-gene-label-color-source']){
       color_db = $(this).val();
@@ -1160,7 +1166,7 @@ function toggleAdditionalDataLayer(e){
 }
 
 function setLabelCanvas() {
-  labelCanvasWidth = spacing * 7/20;
+  labelCanvasWidth = $('#rotate_genome_labels_box').prop("checked") ? spacing * 7/20 : spacing * 1.25;
   if(settings['display']['show-genome-labels']) {
     labelCanvas.setWidth(labelCanvasWidth);
     canvas.setWidth((VIEWER_WIDTH * 0.90) - labelCanvasWidth);
@@ -1493,7 +1499,7 @@ function drawGenomeLabels() {
   settings['genomeData']['genomes'].map(g => g[0]).forEach((genomeName,i) => {
     let genomeHeight = spacing + maxGroupSize * groupLayerPadding;
     let label = new fabric.Text(genomeName, {
-      angle: 270,
+      angle: $('#rotate_genome_labels_box').prop("checked") ? 270 : 0,
       top: marginTop + genomeHeight + i*(groupMargin+genomeHeight),
       fill: $('#genome_label_color').attr('color'),
       fontSize: spacing * 3/20,
@@ -1501,6 +1507,7 @@ function drawGenomeLabels() {
       selectable: false,
       hoverCursor: 'default'
     });
+    if(!$('#rotate_genome_labels_box').prop("checked")) label.top -= genomeHeight/2;
     labelCanvas.add(label);
   });
 }

From 12977576dfdca0efff37689ed30f4674c86e9baa Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 8 Apr 2023 19:33:50 -0500
Subject: [PATCH 0840/1020] truncate genome labels to character limit

---
 anvio/data/interactive/js/genomeview/main.js | 1 +
 anvio/data/interactive/js/genomeview/ui.js   | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 0183885ea4..de507321dc 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -45,6 +45,7 @@ var percentScale = false; // if true, scale measured in proportions (0-1) of tot
 var order_gene_colors_by_count = true; // if true, order annotations on gene color table by descending order of count, otherwise order alphabetically
 var filter_gene_colors_to_window = false; // if true, only display gene colors in current render window, otherwise show all gene colors in split
 var firstDraw = true // flag to determine whether to set zoom to initial zoom level
+var GENOME_LABEL_CHAR_LIMIT = 10; // truncate to arbitrary character limit for genome labels
 var canvas;
 var labelCanvas;
 var brush;
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 7cb0cac030..66d0e3d4cd 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1498,7 +1498,7 @@ function drawGenomeLabels() {
   labelCanvas.clear();
   settings['genomeData']['genomes'].map(g => g[0]).forEach((genomeName,i) => {
     let genomeHeight = spacing + maxGroupSize * groupLayerPadding;
-    let label = new fabric.Text(genomeName, {
+    let label = new fabric.Text(genomeName.substring(0,GENOME_LABEL_CHAR_LIMIT), {
       angle: $('#rotate_genome_labels_box').prop("checked") ? 270 : 0,
       top: marginTop + genomeHeight + i*(groupMargin+genomeHeight),
       fill: $('#genome_label_color').attr('color'),

From 6e274d4a2734d3adeaee3cd7f204bf77782ad0b0 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 8 Apr 2023 19:34:40 -0500
Subject: [PATCH 0841/1020] looser limit

---
 anvio/data/interactive/js/genomeview/main.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index de507321dc..f9b744d486 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -45,7 +45,7 @@ var percentScale = false; // if true, scale measured in proportions (0-1) of tot
 var order_gene_colors_by_count = true; // if true, order annotations on gene color table by descending order of count, otherwise order alphabetically
 var filter_gene_colors_to_window = false; // if true, only display gene colors in current render window, otherwise show all gene colors in split
 var firstDraw = true // flag to determine whether to set zoom to initial zoom level
-var GENOME_LABEL_CHAR_LIMIT = 10; // truncate to arbitrary character limit for genome labels
+var GENOME_LABEL_CHAR_LIMIT = 20; // truncate to arbitrary character limit for genome labels
 var canvas;
 var labelCanvas;
 var brush;

From a80bb31ba33c0898ca81c24c12eb12a211ad6c2b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 9 Apr 2023 22:40:01 -0500
Subject: [PATCH 0842/1020] replace pink shade with group border

---
 .../data/interactive/js/genomeview/drawer.js  | 25 ++++++++++---------
 1 file changed, 13 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 748dc38ea9..ef1744d563 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -89,21 +89,22 @@ GenomeDrawer.prototype.addLayers = function (orderIndex) {
  */
 GenomeDrawer.prototype.addGroupBorder = function (yOffset, orderIndex) {
 
-  let top = yOffset + marginTop - 20 + (orderIndex * groupMargin)
-  let left = 0
-  let width = genomeMax
-  let height = spacing + 60
+  if(maxGroupSize == 1) return;
+
+  let top = yOffset + marginTop - 10 + (orderIndex * groupMargin)
+  let left = -20
+  let width = genomeMax*scaleFactor + 40
+  let height = spacing + 50
 
   let rect = new fabric.Rect({
     id: 'groupBorder' + orderIndex,
     top: top,
-    left: left-50,
+    left: left,
     width: width,
     height: height,
-    stroke: 'pink',
-    strokeWidth: 2,
-    fill: "pink",
-    opacity: .2,
+    stroke: 'black',
+    strokeWidth: 0.5,
+    fill: '',
     selectable: false,
     hoverCursor: 'default'
   })
@@ -149,7 +150,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
     hoverCursor: 'default'
   });
   canvas.add(lineObj);
-  this.addBackgroundShade((marginTop + yOffset + layerPos + (orderIndex * groupMargin)), start, genomeMax, layerHeight, orderIndex)
+  //this.addBackgroundShade((marginTop + yOffset + layerPos + (orderIndex * groupMargin)), start, genomeMax, layerHeight, orderIndex)
 
   // draw set labels
   if (settings['display']['show-gene-labels'] && settings['display']['labels']['gene-sets'][genomeID]) {
@@ -338,7 +339,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
     genome: genomeID
   })
   canvas.bringToFront(shadedObj)
-  this.addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight, orderIndex)
+  this.addBackgroundShade(startingTop, startingLeft, genomeMax*scaleFactor, layerHeight, orderIndex)
 }
 
 /*
@@ -391,7 +392,7 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function (genomeID, layerPos, laye
     ruler.addWithUpdate();
     canvas.add(ruler);
   }
-  this.addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight+5, orderIndex)
+  //this.addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight+5, orderIndex)
 }
 
 /*

From 34796758b9c7e42a2f86beffb2ff24a7b7b16547 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 9 Apr 2023 22:45:19 -0500
Subject: [PATCH 0843/1020] fix

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index ef1744d563..4ebe5111aa 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -93,7 +93,7 @@ GenomeDrawer.prototype.addGroupBorder = function (yOffset, orderIndex) {
 
   let top = yOffset + marginTop - 10 + (orderIndex * groupMargin)
   let left = -20
-  let width = genomeMax*scaleFactor + 40
+  let width = genomeMax*scaleFactor + 50
   let height = spacing + 50
 
   let rect = new fabric.Rect({

From a6c535185e37c204aa083d2b5610129f67df001a Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 9 Apr 2023 22:48:20 -0500
Subject: [PATCH 0844/1020] cosmetics

---
 anvio/data/interactive/js/genomeview/drawer.js | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 4ebe5111aa..a3de8ec75f 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -421,9 +421,10 @@ GenomeDrawer.prototype.addBackgroundShade = function (top, left, width, height,
     width: width,
     height: height,
     fill: "#b0b0b0",
+    stroke: 'black',
     selectable: false,
     hoverCursor: 'default',
-    opacity: .5
+    opacity: .25
   });
   // canvas.sendToBack(border)
   canvas.sendToBack(background)

From 6a68f953f991ea34e703cb2507fb491813cfc13b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 9 Apr 2023 23:59:45 -0500
Subject: [PATCH 0845/1020] gene cosmetics

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index a3de8ec75f..7d08408123 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -174,7 +174,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
         groupID: genomeID,
         fontSize: settings['display']['gene-label-size'],
         angle: settings['display']['gene-text-position'] == "above" ? -1 * settings['display']['gene-text-angle'] : 0,
-        left: xDisps[genomeID] + (gene.start + 50) * scaleFactor,
+        left: xDisps[genomeID] + (((gene.start + gene.stop) / 2) - $('#gene_label').val()*2) * scaleFactor,
         fill: $('#gene_label_color').attr('color'),
         scaleX: 0.5,
         scaleY: 0.5,
@@ -532,7 +532,7 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
     left: xDisps[genomeID] + (1.5 + gene.start) * scaleFactor,
     fill: color,
     stroke: 'gray',
-    strokeWidth: style == 3 ? 3 : 1.5
+    strokeWidth: 1.5
   });
   if (gene.direction == 'r') arrow.rotate(180);
 

From cb5208cc3f6413ae3e4848da84e66b6ee1691827 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 9 Apr 2023 23:59:57 -0500
Subject: [PATCH 0846/1020] fix

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 7d08408123..8b9cc073ac 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -173,6 +173,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
         id: 'geneLabel',
         groupID: genomeID,
         fontSize: settings['display']['gene-label-size'],
+        fontFamily: 'sans-serif',
         angle: settings['display']['gene-text-position'] == "above" ? -1 * settings['display']['gene-text-angle'] : 0,
         left: xDisps[genomeID] + (((gene.start + gene.stop) / 2) - $('#gene_label').val()*2) * scaleFactor,
         fill: $('#gene_label_color').attr('color'),

From 806d0496b12a6759a7bb9a0adc20ec7dfce57168 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 16 Apr 2023 20:02:53 -0500
Subject: [PATCH 0847/1020] merge labels SVG with main SVG

---
 anvio/data/interactive/js/genomeview/ui.js | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 66d0e3d4cd..3a9bbf94ca 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1520,6 +1520,12 @@ function exportToSVG() {
   canvas.getObjects().filter(obj => obj.visible == false).forEach(o => canvas.remove(o))
 
   let filedata = canvas.toSVG();
+
+  // append labelSVG to end of main canvas SVG
+  let labelSVG = labelCanvas.toSVG();
+  labelSVG = labelSVG.substring(labelSVG.indexOf("<g"), labelSVG.length-7);
+  filedata = filedata.slice(0, filedata.length-6) + labelSVG + filedata.slice(filedata.length-6, filedata.length);
+
   let locfile = new Blob([filedata], {type: "image/svg+xml;charset=utf-8"});
 
   let link = document.createElement("a");

From 73ab6e692db6096d66f19f83cd3e7c66da3d9c45 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 16 Apr 2023 20:55:05 -0500
Subject: [PATCH 0848/1020] cleanup genomes table

---
 anvio/data/interactive/genomeview.html     | 9 ---------
 anvio/data/interactive/js/genomeview/ui.js | 9 ---------
 2 files changed, 18 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 51f8e78bc3..ece496d66c 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -213,15 +213,6 @@ <h4 class="modal-title">Lasso</h4>
             <tr>
               <td></td>
               <td data-help="layer-name">Name</td>
-              <td data-help="layer-color">
-                <div style="width: 32px;">Color</div>
-              </td>
-              <td data-help="layer-type">Type</td>
-              <td data-help="layer-norm">Norm.</td>
-              <td data-help="layer-height">Height</td>
-              <td data-help="layer-margin" class="column-margin">Margin</td>
-              <td data-help="layer-min">Min</td>
-              <td data-help="layer-max">Max</td>
             </tr>
           </thead>
           <tbody id="tbody_genomes"></tbody>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 3a9bbf94ca..228080223f 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1069,19 +1069,10 @@ function applyLasso() {
 function buildGenomesTable(genomes, order){
   $("#tbody_genomes").empty() // clear table before redraw
   genomes.map(genome => {
-    var height = '50';
-    var margin = '15';
     let genomeLabel= genome[0];
     var template = `<tr id=${genomeLabel}>
                   <td><img src="images/drag.gif" class="drag-icon" id=${genomeLabel} /></td>
                   <td> ${genomeLabel} </td>
-                  <td>n/a</td>
-                  <td>n/a</td>
-                  <td>n/a</td>
-                  <td><input class="input-height" type="text" size="3" id="height_${genomeLabel}" value="${height}"></input></td>
-                  <td class="column-margin"><input class="input-margin" type="text" size="3" id="margin_${genomeLabel}" value="${margin}"></input></td>
-                  <td>n/a</td>
-                  <td>n/a</td>
                   <td><input type="checkbox" class="layer_selectors"></input></td>
                   </tr>;`
 

From e4dc8fbd4e64685f2387ab9a71b2b868f6584c8b Mon Sep 17 00:00:00 2001
From: matthewlawrenceklein <mtt.l.kln@gmail.com>
Date: Thu, 20 Apr 2023 18:10:01 +0000
Subject: [PATCH 0849/1020] filter out description metadata from query

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 8b9cc073ac..14ec61adad 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -910,6 +910,7 @@ GenomeDrawer.prototype.queryMetadata = async function(metadataLabel){
   let glowPayload = Array()
   let foundInGenomes = Object()
   let matches = settings['display']['metadata'].filter( m => m.label.toLowerCase().includes(metadataLabel.toLowerCase()))
+                                               .filter( m => m.type == 'tag')
   matches.map(metadata => {
     glowPayload.push({
       geneID: metadata.gene,

From d68e22bcf3b82eca8f9768393d914077cb849979 Mon Sep 17 00:00:00 2001
From: matthewlawrenceklein <mtt.l.kln@gmail.com>
Date: Thu, 20 Apr 2023 18:20:23 +0000
Subject: [PATCH 0850/1020] distinguish metadata tag vs description in DD table

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 228080223f..366419d7ca 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -552,7 +552,7 @@ function showDeepDiveToolTip(event){
     $('#metadata-body').append(`
       <tr>
         <td>${metadataObj.label}</td>
-        <td>n/a</td>
+        <td>description</td>
       </tr>
     `)
     $('#metadata-query').on('click', function(){

From e9522ac1bda0f5e3f0e565af93b7057b5cf897c4 Mon Sep 17 00:00:00 2001
From: matthewlawrenceklein <mtt.l.kln@gmail.com>
Date: Thu, 20 Apr 2023 21:29:41 +0000
Subject: [PATCH 0851/1020] remove metadata from table + state

---
 anvio/data/interactive/js/genomeview/ui.js | 53 ++++++++++++++++++----
 1 file changed, 45 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 366419d7ca..5bdbc9a9cd 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -373,7 +373,8 @@ function showDeepDiveToolTip(event){
   let totalMetadataString = String()
   let totalAnnotationsString = String()
   let metadataLabel = String()
-  let button = `<button type='button' id='metadata-query' class='btn btn-default btn-sm'>Query Sequence for matches</button>`
+  let queryBtn = `<button type='button' id='metadata-query' class='btn btn-default btn-sm'>Query sequence for matches</button>`
+  let removeBtn = `<button type='button' id='metadata-remove' class='btn btn-default btn-sm'>Remove metadata item</button>`
 
   if(settings['display']?.['metadata']){
     let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID )
@@ -383,8 +384,9 @@ function showDeepDiveToolTip(event){
 
         totalMetadataString += `
         <tr>
-        <td>${metadata.label}</td>
-        <td>${metadata.type == 'tag'? button : 'n/a'}</td>
+        <td class='metadata'>${metadata.label}</td>
+        <td>${metadata.type == 'tag'? queryBtn : 'n/a'}</td>
+        <td>${removeBtn}</td>
         </tr>
         `
       })
@@ -462,8 +464,8 @@ function showDeepDiveToolTip(event){
       <textarea id='metadata-gene-description' placeholder='metadata description'></textarea>
       <button   id='metadata-gene-description-add' type='button' class="btn btn-default btn-sm">add description</button>
       <br>
-      <table class="table table-striped">
-        <thead><th>metadata</th><th>action</th></thead>
+      <table class="table table-striped" id="metadata-deepdive-table">
+        <thead><th>metadata</th><th>action</th><th>remove</th></thead>
         <tbody id="metadata-body">
          ${totalMetadataString}
         </tbody>
@@ -487,6 +489,17 @@ function showDeepDiveToolTip(event){
     drawer.queryMetadata(metadataLabel)
   })
 
+  $('#metadata-remove').on('click', function(){
+    let gene = event.target.geneID
+    let genome = event.target.genomeID
+    let label = $(this).parent().siblings('td').first().html()
+    let index = settings['display']['metadata'].findIndex(m => m.label == label && m.gene == gene && m.genome == genome)
+
+    settings['display']['metadata'].splice(index, 1)
+    
+    $(this).closest('tr').remove();
+  })
+
   $('#gene-visibility-range-set').click(function(){
     setGeneVisibilityRange(event.target.geneID, event.target.genomeID)
   })
@@ -532,13 +545,25 @@ function showDeepDiveToolTip(event){
     $('#metadata-gene-label').val('')
     $('#metadata-body').append(`
       <tr>
-        <td>${metadataObj.label}</td>
-        <td>${button}</td>
+        <td class='metadata'>${metadataObj.label}</td>
+        <td>${queryBtn}</td>
+        <td>${removeBtn}</td>
       </tr>
     `)
     $('#metadata-query').on('click', function(){ // re-trigger listener for new DOM buttons
       drawer.queryMetadata(metadataLabel)
     })
+
+    $('#metadata-remove').on('click', function(){      
+      let gene = event.target.geneID
+      let genome = event.target.genomeID
+      let label = $(this).parent().siblings('td').first().html()
+      let index = settings['display']['metadata'].findIndex(m => m.label == label && m.gene == gene && m.genome == genome)
+
+      settings['display']['metadata'].splice(index, 1)
+      
+      $(this).closest('tr').remove();
+    })
   })
   $('#metadata-gene-description-add').on('click', function(){
     let metadataObj = {
@@ -550,14 +575,26 @@ function showDeepDiveToolTip(event){
     settings['display']['metadata'].push(metadataObj)
     $('#metadata-gene-description').val('')
     $('#metadata-body').append(`
-      <tr>
+      <tr class='metadata'>
         <td>${metadataObj.label}</td>
         <td>description</td>
+        <td>${removeBtn}</td>
       </tr>
     `)
     $('#metadata-query').on('click', function(){
       drawer.queryMetadata(metadataLabel)
     })
+
+    $('#metadata-remove').on('click', function(){
+      let gene = event.target.geneID
+      let genome = event.target.genomeID
+      let label = $(this).parent().siblings('td').first().html()
+      let index = settings['display']['metadata'].findIndex(m => m.label == label && m.gene == gene && m.genome == genome)
+
+      settings['display']['metadata'].splice(index, 1)
+      
+      $(this).closest('tr').remove();
+    })
   })
   $('#picker_tooltip').colpick({
     layout: 'hex',

From 75c17d11acb312bee5ae7a5ff157379df4bac929 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 21 Apr 2023 20:53:43 -0500
Subject: [PATCH 0852/1020] hook in multiselect in viewport

---
 anvio/data/interactive/js/genomeview/ui.js | 24 ++++++++++++++++++++++
 1 file changed, 24 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 5bdbc9a9cd..d6b39c2cb3 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -877,6 +877,30 @@ function showTabularModal(){
         $(el).attr('color', '#' + hex);
         if (!bySetColor) $(el).val(hex);
 
+        // multiselect
+        if(el.id == 'multiselect-picker-tabular-modal') {
+          $('.form-check-input').each((_,v) => {
+            if(v.id && $('#' + v.id).is(':checked')) {
+              let [genomeID, geneID] = v.id.split('-');
+              $('#' + geneID + '-' + genomeID + '-picker-tabular-modal').css('background-color', '#' + hex);
+              $('#' + geneID + '-' + genomeID + '-picker-tabular-modal').attr('color', '#' + hex);
+
+              if(settings['display']['colors']['genes']?.[genomeID]){
+                settings['display']['colors']['genes'][genomeID][geneID] = '#' + hex
+              } else {
+                settings['display']['colors']['genes'][genomeID] = {}
+                settings['display']['colors']['genes'][genomeID][geneID] = '#' + hex
+              }
+      
+              let arrow = canvas.getObjects().filter(obj => obj.id == 'arrow').find(arrow => arrow.geneID == geneID && arrow.genomeID == genomeID)
+              arrow.fill = '#' + hex
+              arrow.dirty = true
+              canvas.renderAll();
+            }
+          });
+          return;
+        }
+
         let [geneID, genomeID] = [el.id.split('-')[0], el.id.split('-')[1]]
 
         if(settings['display']['colors']['genes']?.[genomeID]){

From 29032aa6f39c5ba0a62ee4617670e519424fde9d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 21 Apr 2023 21:13:23 -0500
Subject: [PATCH 0853/1020] change multiselect color when button is clicked
 rather than instantly

---
 anvio/data/interactive/genomeview.html     |  2 +-
 anvio/data/interactive/js/genomeview/ui.js | 48 +++++++++++-----------
 2 files changed, 26 insertions(+), 24 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index ece496d66c..dd6a07bcae 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -135,7 +135,7 @@ <h4 class="modal-title">Viewport Genomic Data</h4>
                 <div id="multiselect-picker-tabular-modal" class="colorpicker" color="#808080"
                   background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px">
                 </div>
-                <button class="btn btn-default">Color selected</button>
+                <button class="btn btn-default" onclick="colorSelectedTabularModal()">Color selected</button>
               </div>
               <div id="tabular-modal-annotation-checkboxes"></div>
             </div>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index d6b39c2cb3..54b19b5c4f 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -877,29 +877,7 @@ function showTabularModal(){
         $(el).attr('color', '#' + hex);
         if (!bySetColor) $(el).val(hex);
 
-        // multiselect
-        if(el.id == 'multiselect-picker-tabular-modal') {
-          $('.form-check-input').each((_,v) => {
-            if(v.id && $('#' + v.id).is(':checked')) {
-              let [genomeID, geneID] = v.id.split('-');
-              $('#' + geneID + '-' + genomeID + '-picker-tabular-modal').css('background-color', '#' + hex);
-              $('#' + geneID + '-' + genomeID + '-picker-tabular-modal').attr('color', '#' + hex);
-
-              if(settings['display']['colors']['genes']?.[genomeID]){
-                settings['display']['colors']['genes'][genomeID][geneID] = '#' + hex
-              } else {
-                settings['display']['colors']['genes'][genomeID] = {}
-                settings['display']['colors']['genes'][genomeID][geneID] = '#' + hex
-              }
-      
-              let arrow = canvas.getObjects().filter(obj => obj.id == 'arrow').find(arrow => arrow.geneID == geneID && arrow.genomeID == genomeID)
-              arrow.fill = '#' + hex
-              arrow.dirty = true
-              canvas.renderAll();
-            }
-          });
-          return;
-        }
+        if(el.id == 'multiselect-picker-tabular-modal') return;
 
         let [geneID, genomeID] = [el.id.split('-')[0], el.id.split('-')[1]]
 
@@ -920,6 +898,30 @@ function showTabularModal(){
   });
 }
 
+function colorSelectedTabularModal() {
+  let hex = $('#multiselect-picker-tabular-modal').attr('color');
+
+  $('.form-check-input').each((_,v) => {
+    if(v.id && $('#' + v.id).is(':checked')) {
+      let [genomeID, geneID] = v.id.split('-');
+      $('#' + geneID + '-' + genomeID + '-picker-tabular-modal').css('background-color', hex);
+      $('#' + geneID + '-' + genomeID + '-picker-tabular-modal').attr('color', hex);
+
+      if(settings['display']['colors']['genes']?.[genomeID]){
+        settings['display']['colors']['genes'][genomeID][geneID] = hex
+      } else {
+        settings['display']['colors']['genes'][genomeID] = {}
+        settings['display']['colors']['genes'][genomeID][geneID] = hex
+      }
+
+      let arrow = canvas.getObjects().filter(obj => obj.id == 'arrow').find(arrow => arrow.geneID == geneID && arrow.genomeID == genomeID)
+      arrow.fill = hex
+      arrow.dirty = true
+      canvas.renderAll();
+    }
+  });
+}
+
 function gatherTabularModalSelectedItems(action){
   let targetedGenes = []
   $('#modal-tab-content :checked').each(function(){

From 3abda8074e8de4fa955e58fd976d5adbc816addb Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 21 Apr 2023 21:26:54 -0500
Subject: [PATCH 0854/1020] cleaner

---
 anvio/data/interactive/js/genomeview/ui.js | 34 +++++++++++-----------
 1 file changed, 17 insertions(+), 17 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 54b19b5c4f..cbb515566e 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -901,25 +901,25 @@ function showTabularModal(){
 function colorSelectedTabularModal() {
   let hex = $('#multiselect-picker-tabular-modal').attr('color');
 
-  $('.form-check-input').each((_,v) => {
-    if(v.id && $('#' + v.id).is(':checked')) {
-      let [genomeID, geneID] = v.id.split('-');
-      $('#' + geneID + '-' + genomeID + '-picker-tabular-modal').css('background-color', hex);
-      $('#' + geneID + '-' + genomeID + '-picker-tabular-modal').attr('color', hex);
-
-      if(settings['display']['colors']['genes']?.[genomeID]){
-        settings['display']['colors']['genes'][genomeID][geneID] = hex
-      } else {
-        settings['display']['colors']['genes'][genomeID] = {}
-        settings['display']['colors']['genes'][genomeID][geneID] = hex
-      }
+  $('#modal-tab-content :checked').each(function(){
+    let [genomeID, geneID] = $(this).val().split('-');
+    $('#' + geneID + '-' + genomeID + '-picker-tabular-modal').css('background-color', hex);
+    $('#' + geneID + '-' + genomeID + '-picker-tabular-modal').attr('color', hex);
 
-      let arrow = canvas.getObjects().filter(obj => obj.id == 'arrow').find(arrow => arrow.geneID == geneID && arrow.genomeID == genomeID)
-      arrow.fill = hex
-      arrow.dirty = true
-      canvas.renderAll();
+    if(settings['display']['colors']['genes']?.[genomeID]){
+      settings['display']['colors']['genes'][genomeID][geneID] = hex
+    } else {
+      settings['display']['colors']['genes'][genomeID] = {}
+      settings['display']['colors']['genes'][genomeID][geneID] = hex
     }
-  });
+
+    let arrow = canvas.getObjects().filter(obj => obj.id == 'arrow').find(arrow => arrow.geneID == geneID && arrow.genomeID == genomeID)
+    arrow.fill = hex
+    arrow.dirty = true
+    canvas.renderAll();
+  })
+}
+
 }
 
 function gatherTabularModalSelectedItems(action){

From ea6ae5ea067d8b4d79d7e4cc3667d32c7f0670bf Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 21 Apr 2023 22:23:21 -0500
Subject: [PATCH 0855/1020] refactor add metadata tag into new function

---
 anvio/data/interactive/genomeview.html     |  4 +-
 anvio/data/interactive/js/genomeview/ui.js | 94 ++++++++--------------
 2 files changed, 36 insertions(+), 62 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index dd6a07bcae..aa560b64c5 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -128,8 +128,8 @@ <h4 class="modal-title">Viewport Genomic Data</h4>
               </div>
               <div id="tabular-modal-sequence-checkboxes"></div>
               <div>
-                <input type='text' placeholder='metadata tag' />
-                <button class="btn btn-default">Add metadata tag to selected</button>
+                <input type='text' placeholder='metadata tag' id='metadata-tag-multiselect' />
+                <button class="btn btn-default" onclick=addMetadataToSelectedTabularModal()>Add metadata tag to selected</button>
               </div>
               <div>
                 <div id="multiselect-picker-tabular-modal" class="colorpicker" color="#808080"
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index cbb515566e..00168d8bcc 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -535,66 +535,7 @@ function showDeepDiveToolTip(event){
   })
   // TODO consider metadata option to include 'author' field
   $('#metadata-gene-label-add').on('click', function(){
-    let metadataObj = {
-      label  : $('#metadata-gene-label').val(),
-      genome : event.target.genomeID,
-      gene   : event.target.geneID,
-      type   : 'tag'
-    }
-    settings['display']['metadata'].push(metadataObj)
-    $('#metadata-gene-label').val('')
-    $('#metadata-body').append(`
-      <tr>
-        <td class='metadata'>${metadataObj.label}</td>
-        <td>${queryBtn}</td>
-        <td>${removeBtn}</td>
-      </tr>
-    `)
-    $('#metadata-query').on('click', function(){ // re-trigger listener for new DOM buttons
-      drawer.queryMetadata(metadataLabel)
-    })
-
-    $('#metadata-remove').on('click', function(){      
-      let gene = event.target.geneID
-      let genome = event.target.genomeID
-      let label = $(this).parent().siblings('td').first().html()
-      let index = settings['display']['metadata'].findIndex(m => m.label == label && m.gene == gene && m.genome == genome)
-
-      settings['display']['metadata'].splice(index, 1)
-      
-      $(this).closest('tr').remove();
-    })
-  })
-  $('#metadata-gene-description-add').on('click', function(){
-    let metadataObj = {
-      label  : $('#metadata-gene-description').val(),
-      genome : event.target.genomeID,
-      gene   : event.target.geneID,
-      type   : 'description'
-    }
-    settings['display']['metadata'].push(metadataObj)
-    $('#metadata-gene-description').val('')
-    $('#metadata-body').append(`
-      <tr class='metadata'>
-        <td>${metadataObj.label}</td>
-        <td>description</td>
-        <td>${removeBtn}</td>
-      </tr>
-    `)
-    $('#metadata-query').on('click', function(){
-      drawer.queryMetadata(metadataLabel)
-    })
-
-    $('#metadata-remove').on('click', function(){
-      let gene = event.target.geneID
-      let genome = event.target.genomeID
-      let label = $(this).parent().siblings('td').first().html()
-      let index = settings['display']['metadata'].findIndex(m => m.label == label && m.gene == gene && m.genome == genome)
-
-      settings['display']['metadata'].splice(index, 1)
-      
-      $(this).closest('tr').remove();
-    })
+    addMetadataTag(event.target.genomeID, event.target.geneID, $('#metadata-gene-label').val());
   })
   $('#picker_tooltip').colpick({
     layout: 'hex',
@@ -920,6 +861,39 @@ function colorSelectedTabularModal() {
   })
 }
 
+function addMetadataTag(genomeID, geneID, label) {
+  // TODO: create warning popup if this genomeID & geneID already has a tag
+
+  let queryBtn = `<button type='button' id='metadata-query' class='btn btn-default btn-sm'>Query sequence for matches</button>`
+  let removeBtn = `<button type='button' id='metadata-remove' class='btn btn-default btn-sm'>Remove metadata item</button>`
+
+  let metadataObj = {
+    label  : label,
+    genome : genomeID,
+    gene   : geneID,
+    type   : 'tag'
+  }
+  settings['display']['metadata'].push(metadataObj)
+  $('#metadata-gene-label').val('')
+  $('#metadata-body').append(`
+    <tr>
+      <td class='metadata'>${metadataObj.label}</td>
+      <td>${queryBtn}</td>
+      <td>${removeBtn}</td>
+    </tr>
+  `)
+  $('#metadata-query').on('click', function(){ // re-trigger listener for new DOM buttons
+    drawer.queryMetadata(label)
+  })
+
+  $('#metadata-remove').on('click', function(){      
+    let label = $(this).parent().siblings('td').first().html()
+    let index = settings['display']['metadata'].findIndex(m => m.label == label && m.gene == geneID && m.genome == genomeID)
+
+    settings['display']['metadata'].splice(index, 1)
+    
+    $(this).closest('tr').remove();
+  })
 }
 
 function gatherTabularModalSelectedItems(action){

From ed621becdc1bfb414db0a33f3385d0ced2de8728 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 21 Apr 2023 22:30:12 -0500
Subject: [PATCH 0856/1020] add metadata tag to selected in tabular modal

---
 anvio/data/interactive/js/genomeview/ui.js | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 00168d8bcc..c6912e0ce7 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -861,6 +861,16 @@ function colorSelectedTabularModal() {
   })
 }
 
+function addMetadataToSelectedTabularModal() {
+  let label = $('#metadata-tag-multiselect').val();
+  if(label.length == 0) return;
+
+  $('#modal-tab-content :checked').each(function(){
+    let [genomeID, geneID] = $(this).val().split('-')
+    addMetadataTag(genomeID, geneID, label);
+  })
+}
+
 function addMetadataTag(genomeID, geneID, label) {
   // TODO: create warning popup if this genomeID & geneID already has a tag
 
@@ -873,6 +883,7 @@ function addMetadataTag(genomeID, geneID, label) {
     gene   : geneID,
     type   : 'tag'
   }
+  if(!settings['display']['metadata']) settings['display']['metadata'] = []
   settings['display']['metadata'].push(metadataObj)
   $('#metadata-gene-label').val('')
   $('#metadata-body').append(`

From 7b1b8a0f4db83de1285c02615ec2d8025410661f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 21 Apr 2023 22:41:57 -0500
Subject: [PATCH 0857/1020] clean

---
 anvio/data/interactive/js/genomeview/ui.js | 2 --
 1 file changed, 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index c6912e0ce7..da417d4c75 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -872,8 +872,6 @@ function addMetadataToSelectedTabularModal() {
 }
 
 function addMetadataTag(genomeID, geneID, label) {
-  // TODO: create warning popup if this genomeID & geneID already has a tag
-
   let queryBtn = `<button type='button' id='metadata-query' class='btn btn-default btn-sm'>Query sequence for matches</button>`
   let removeBtn = `<button type='button' id='metadata-remove' class='btn btn-default btn-sm'>Remove metadata item</button>`
 

From 3f253fbd14849acbaa8547e6076264f61de48365 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 21 Apr 2023 23:38:38 -0500
Subject: [PATCH 0858/1020] only show gene labels for nt window < 10k

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 14ec61adad..ead861f979 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -168,7 +168,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
     canvas.add(geneObj)
     canvas.bringToFront(geneObj);
 
-    if (settings['display']['show-gene-labels']) {
+    if (settings['display']['show-gene-labels'] && ($('#brush_end').val() - $('#brush_start').val()) < 10000) {
       var label = new fabric.IText(setGeneLabelFromSource(geneID, genomeID), {
         id: 'geneLabel',
         groupID: genomeID,

From 3d2cdbe7077ab5143469fa4043c779a53ef3d060 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 21 Apr 2023 23:46:58 -0500
Subject: [PATCH 0859/1020] cosmetics for pentagon gene labels

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index ead861f979..a17733c713 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -189,7 +189,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
       });
       if (this.settings['display']['arrow-style'] == 3) {
         label.set({
-          top: settings['display']['gene-text-position'] == "inside" ? y + 15 - settings['display']['gene-label-size'] / 2 : y - 10 - settings['display']['gene-label-size'] / 2,
+          top: settings['display']['gene-text-position'] == "inside" ? y + 13 - settings['display']['gene-label-size'] / 2 : y - 20 - settings['display']['gene-label-size'] / 2,
           selectionColor: 'rgba(128,128,128,.5)'
         });
       } else {

From 75131b1674725cd4c662a6315126692c27e23281 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 21 Apr 2023 23:53:44 -0500
Subject: [PATCH 0860/1020] gene labels are no longer editable

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index a17733c713..c7a27a832e 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -169,7 +169,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
     canvas.bringToFront(geneObj);
 
     if (settings['display']['show-gene-labels'] && ($('#brush_end').val() - $('#brush_start').val()) < 10000) {
-      var label = new fabric.IText(setGeneLabelFromSource(geneID, genomeID), {
+      var label = new fabric.Text(setGeneLabelFromSource(geneID, genomeID), {
         id: 'geneLabel',
         groupID: genomeID,
         fontSize: settings['display']['gene-label-size'],

From b75420240c303a0c42b670b384f2e3fd26ba077f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 22 Apr 2023 01:21:44 -0500
Subject: [PATCH 0861/1020] show all GC content

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index c7a27a832e..9b5e6501f8 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -296,7 +296,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
   let j = 0
   let final_l = 0 //used to create final line segments to 'close out' path obj for shading purposes.
   let [l, r] = getRenderNTRange(genomeID);
-  for (let i = 0; i < nGroups; i++) {
+  for (let i = 0; i <= nGroups; i++) {
     for (; j < i * genomeMax / nGroups; j += ptInterval) {
       if (j < l) continue;
       if (j > r) break;

From d187e7e2b9382134670db54eebf4faa76b9a9932 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 22 Apr 2023 01:49:50 -0500
Subject: [PATCH 0862/1020] left/right arrow keys jump down/upstream 1k
 nucleotides

---
 anvio/data/interactive/js/genomeview/ui.js | 26 ++++++++++++++++++++++
 1 file changed, 26 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index da417d4c75..d410578eb9 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -187,6 +187,32 @@ function setEventListeners(){
       toggleRightPanel('#query-panel')
     }
   });
+  document.body.addEventListener("keydown", function (ev) {
+    if (ev.which == 37 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // Left Arrow = 37
+      let [start, stop] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+      if(start - 1000 < 0) return;
+      $('#brush_start').val(start - 1000);
+      $('#brush_end').val(stop - 1000);
+      brush.extent([start-1000, stop-1000]);
+      brush(d3.select(".brush").transition());
+      brush.event(d3.select(".brush").transition());
+      updateRenderWindow();
+      drawer.draw();
+    }
+  });
+  document.body.addEventListener("keydown", function (ev) {
+    if (ev.which == 39 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // Right Arrow = 39
+      let [start, stop] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+      if(stop + 1000 > genomeMax) return;
+      $('#brush_start').val(start + 1000);
+      $('#brush_end').val(stop + 1000);
+      brush.extent([start+1000, stop+1000]);
+      brush(d3.select(".brush").transition());
+      brush.event(d3.select(".brush").transition());
+      updateRenderWindow();
+      drawer.draw();
+    }
+  });
   $('#genome_spacing').on('keydown', function (e) {
     if (e.keyCode == 13) { // 13 = enter key
       drawer.setGenomeSpacing($(this).val());

From a85dde995ee9efacb17ae87f18d4a0d72009c1bf Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 22 Apr 2023 01:51:12 -0500
Subject: [PATCH 0863/1020] cleanup

---
 anvio/data/interactive/js/genomeview/utils.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index f1292e9932..a1fe59b99a 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -253,7 +253,6 @@ function toggleRightPanel(name) {
 
       $(right_panel).hide();
   });
-  console.log(name);
   $(name).toggle();
 
   if ($('#mouseover-panel').is(':visible')) {

From b0c67b6e183b118624d8df293e0cb101cfeecc1e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 22 Apr 2023 18:19:51 -0500
Subject: [PATCH 0864/1020] show/hide genomes in settings

---
 .../data/interactive/js/genomeview/drawer.js  | 38 ++++++++++---------
 anvio/data/interactive/js/genomeview/main.js  | 29 +++++++++++---
 anvio/data/interactive/js/genomeview/ui.js    |  9 ++++-
 anvio/data/interactive/js/genomeview/utils.js |  2 +-
 4 files changed, 53 insertions(+), 25 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 9b5e6501f8..3ad76f2eae 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -31,8 +31,12 @@ GenomeDrawer.prototype.draw = function () {
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
   labelCanvas.setHeight(calculateMainCanvasHeight());
 
+  let orderIndex = 0
   this.settings['genomeData']['genomes'].map((genome, idx) => {
-    this.addLayers(idx)
+    if($('#' + genome[0] + '-show').is(':checked')) {
+      this.addLayers(idx, orderIndex)
+      orderIndex++
+    }
   })
 
   checkGeneLabels();
@@ -48,13 +52,13 @@ GenomeDrawer.prototype.draw = function () {
 /*
  *  For each genome group, iterate additional all layers and render where appropriate
  */
-GenomeDrawer.prototype.addLayers = function (orderIndex) {
+GenomeDrawer.prototype.addLayers = function (genomeIndex, orderIndex) {
   let [dataLayerHeight, rulerHeight] = [this.calculateLayerSizes()[0], this.calculateLayerSizes()[1]]
 
   yOffset = orderIndex * spacing + (orderIndex * maxGroupSize * groupLayerPadding);
   let layerPos = 0
-  let genomeID = this.settings['genomeData']['genomes'][orderIndex][0];
-  // let genome = this.settings['genomeData']['genomes'][orderIndex][1];
+  let genomeID = this.settings['genomeData']['genomes'][genomeIndex][0];
+  // let genome = this.settings['genomeData']['genomes'][genomeIndex][1];
   // let label = genome.genes.gene_calls[0].contig;
 
   let additionalDataLayers = this.settings['additional-data-layers']['data'][genomeID]
@@ -63,15 +67,15 @@ GenomeDrawer.prototype.addLayers = function (orderIndex) {
 
   this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
     if (layer == 'Genome' && $('#Genome-show').is(':checked')) {
-      this.addGenome(orderIndex, dataLayerHeight, layerPos)
+      this.addGenome(orderIndex, dataLayerHeight, layerPos, genomeIndex)
       layerPos += dataLayerHeight + groupLayerPadding
     }
     if (layer == 'Coverage' && this.settings['additional-data-layers']['layers'].includes('Coverage') && $('#Coverage-show').is(':checked')) {
-      this.buildNumericalDataLayer('Coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', dataLayerHeight, orderIndex)
+      this.buildNumericalDataLayer('Coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', dataLayerHeight, orderIndex, genomeIndex)
       layerPos += dataLayerHeight + groupLayerPadding
     }
     if (layer == 'GC_Content' && this.settings['additional-data-layers']['layers'].includes('GC_content') && $('#GC_Content-show').is(':checked')) {
-      this.buildNumericalDataLayer('GC_content', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', dataLayerHeight, orderIndex)
+      this.buildNumericalDataLayer('GC_content', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', dataLayerHeight, orderIndex, genomeIndex)
       layerPos += dataLayerHeight + groupLayerPadding
     }
     if (layer == 'Ruler' && this.settings['additional-data-layers']['layers'].includes('ruler') && $('#Ruler-show').is(':checked')) {
@@ -80,7 +84,7 @@ GenomeDrawer.prototype.addLayers = function (orderIndex) {
     }
   })
 
-  canvas.remove(canvas.getObjects().find(obj => obj.id == 'groupBorder' + orderIndex));
+  canvas.remove(canvas.getObjects().find(obj => obj.id == 'groupBorder' + genomeIndex));
   this.addGroupBorder(yOffset, orderIndex)
 }
 
@@ -125,8 +129,8 @@ GenomeDrawer.prototype.calculateLayerSizes = function () {
   return [dataLayerHeight, rulerHeight]
 }
 
-GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos) {
-  let genome = this.settings['genomeData']['genomes'][orderIndex];
+GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos, genomeIndex) {
+  let genome = this.settings['genomeData']['genomes'][genomeIndex];
   let gene_list = genome[1].genes.gene_calls;
   let genomeID = genome[0];
   let y = marginTop + yOffset + layerPos + (layerHeight / 2) + (orderIndex * groupMargin) // render arrows in the center of genome layer's allotted vertical space
@@ -150,7 +154,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
     hoverCursor: 'default'
   });
   canvas.add(lineObj);
-  //this.addBackgroundShade((marginTop + yOffset + layerPos + (orderIndex * groupMargin)), start, genomeMax, layerHeight, orderIndex)
+  //this.addBackgroundShade((marginTop + yOffset + layerPos + (orderIndex * groupMargin)), start, genomeMax, layerHeight, orderIndex, genomeIndex)
 
   // draw set labels
   if (settings['display']['show-gene-labels'] && settings['display']['labels']['gene-sets'][genomeID]) {
@@ -266,7 +270,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos)
 /*
  *  Process to generate numerical ADL for genome groups (ie Coverage, GC Content )
  */
-GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor, layerHeight, orderIndex) {
+GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor, layerHeight, orderIndex, genomeIndex) {
   // TODO this will need to be refactored once we begin testing genomes comprised of multiple contigs
   let contigObj = Object.values(additionalDataLayers)[0]
   let contigArr = Object.values(contigObj)[0]
@@ -340,7 +344,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
     genome: genomeID
   })
   canvas.bringToFront(shadedObj)
-  this.addBackgroundShade(startingTop, startingLeft, genomeMax*scaleFactor, layerHeight, orderIndex)
+  this.addBackgroundShade(startingTop, startingLeft, genomeMax*scaleFactor, layerHeight, orderIndex, genomeIndex)
 }
 
 /*
@@ -393,18 +397,18 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function (genomeID, layerPos, laye
     ruler.addWithUpdate();
     canvas.add(ruler);
   }
-  //this.addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight+5, orderIndex)
+  //this.addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight+5, orderIndex, genomeIndex)
 }
 
 /*
  *  adds an alternating shade to each genome group for easier visual distinction amongst adjacent groups
  */
-GenomeDrawer.prototype.addBackgroundShade = function (top, left, width, height, orderIndex) {
+GenomeDrawer.prototype.addBackgroundShade = function (top, left, width, height, orderIndex, genomeIndex) {
   let backgroundShade;
   orderIndex % 2 == 0 ? backgroundShade = '#b8b8b8' : backgroundShade = '#f5f5f5'
 
   let border = new fabric.Rect({
-    groupID: this.settings['genomeData']['genomes'][orderIndex][0],
+    groupID: this.settings['genomeData']['genomes'][genomeIndex][0],
     top: top,
     left: left,
     width: width,
@@ -416,7 +420,7 @@ GenomeDrawer.prototype.addBackgroundShade = function (top, left, width, height,
     // opacity : .5
   });
   let background = new fabric.Rect({
-    groupID: this.settings['genomeData']['genomes'][orderIndex][0],
+    groupID: this.settings['genomeData']['genomes'][genomeIndex][0],
     top: top,
     left: left,
     width: width,
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index f9b744d486..d4dab7e279 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -320,6 +320,11 @@ function serializeSettings() {
   state['display']['adlPtsPerLayer'] = $('#adl_pts_per_layer').val() // number of data points to be subsampled per ADL. TODO: more meaningful default?
   state['display']['user-defined-colors'] = $('#user_defined_colors').is(':checked')
 
+  $('.genome_selectors').each((idx, row) => {
+    let genome = row.id.split('-')[0]
+    settings['display']['show-genomes'][genome] = $('#' + genome + '-show').is(':checked')
+  })
+
   $('.annotation_color').each((idx, row) => {
     let color = $(row).attr('color')
     let id = ($(row).attr('id').split('_')[1])
@@ -415,6 +420,15 @@ function processState(stateName, stateData) {
     settings['display']['xDisps'] = stateData['display']['xDisps']
   }
 
+  if(settings?.['display']?.['show-genomes']) {
+    settings['display']['show-genomes'] = stateData['display']['show-genomes']
+  } else {
+    settings['display']['show-genomes'] = {};
+    for(genomeID of settings['genomeData']['genomes'].map(g => g[0])) {
+      settings['display']['show-genomes'][genomeID] = true;
+    }
+  }
+
   if(stateData?.['display']?.['genome-label-size']) {
     settings['display']['genome-label-size'] = stateData['display']['genome-label-size'];
   } else {
@@ -532,10 +546,6 @@ function loadAll(loadType) {
 
   $('.container').css({ 'height': VIEWER_HEIGHT + 'px', 'overflow-y': 'auto' })
 
-  $('#genome_label_color').css('background-color', settings['display']['colors']['genome-label']);
-  $('#genome_label_color').attr('color', settings['display']['colors']['genome-label']);
-  drawGenomeLabels();
-
   if(settings?.['display']?.['xDisps']) {
     xDisps = settings?.['display']['xDisps'];
   } else {
@@ -572,6 +582,15 @@ function loadAll(loadType) {
   if(firstDraw) setEventListeners();
   setCanvasListeners();
 
+  $('.genome_selectors').each((idx, row) => {
+    let genome = row.id.split('-')[0]
+    $('#' + genome + '-show').prop('checked', settings['display']['show-genomes'][genome])
+  })
+
+  $('#genome_label_color').css('background-color', settings['display']['colors']['genome-label']);
+  $('#genome_label_color').attr('color', settings['display']['colors']['genome-label']);
+  drawGenomeLabels();
+
   let [start, stop] = settings['display']['nt_window'];
   $('#brush_start').val(start);
   $('#brush_end').val(stop);
@@ -583,7 +602,7 @@ function loadAll(loadType) {
   brush(d3.select(".brush"));
   updateRenderWindow();
   setLabelCanvas(); // set a second time to adjust to new brush extent
-
+  
   console.log('Sending this data obj to GenomeDrawer', settings)
   drawer = new GenomeDrawer(settings)
   drawer.draw()
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index d410578eb9..6c7c866afc 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1145,7 +1145,7 @@ function buildGenomesTable(genomes, order){
     var template = `<tr id=${genomeLabel}>
                   <td><img src="images/drag.gif" class="drag-icon" id=${genomeLabel} /></td>
                   <td> ${genomeLabel} </td>
-                  <td><input type="checkbox" class="layer_selectors"></input></td>
+                  <td><input type="checkbox" class="genome_selectors" onclick="drawer.draw(); drawGenomeLabels()" id="${genomeLabel}-show"></input></td>
                   </tr>;`
 
     $('#tbody_genomes').append(template);
@@ -1559,7 +1559,12 @@ function showAllHiddenGenes(){
 
 function drawGenomeLabels() {
   labelCanvas.clear();
-  settings['genomeData']['genomes'].map(g => g[0]).forEach((genomeName,i) => {
+
+  let genomes = ($('.genome_selectors:checked').length > 0) 
+                ? ($('.genome_selectors:checked').map((_,el) => el.id.split('-')[0]).toArray())
+                : (settings['genomeData']['genomes'].map(g => g[0]));
+  
+  genomes.forEach((genomeName,i) => {
     let genomeHeight = spacing + maxGroupSize * groupLayerPadding;
     let label = new fabric.Text(genomeName.substring(0,GENOME_LABEL_CHAR_LIMIT), {
       angle: $('#rotate_genome_labels_box').prop("checked") ? 270 : 0,
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index a1fe59b99a..f1e726893a 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -31,7 +31,7 @@
 function calculateMainCanvasHeight(){
   let additionalSpacing = 100 // arbitrary additional spacing for cosmetics
   let scaleHeight = 230
-  let nGenomes = settings['genomeData']['genomes'].length
+  let nGenomes = $('.genome_selectors:checked').length
   let mainCanvasHeight = marginTop + nGenomes*(spacing+maxGroupSize*groupLayerPadding) + groupMargin*(nGenomes-1) + scaleHeight + additionalSpacing
   return mainCanvasHeight
 }

From 0fb19894969a9a8709048a7361d754c39f396183 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 22 Apr 2023 18:48:36 -0500
Subject: [PATCH 0865/1020] V is for viewport

---
 anvio/data/interactive/genomeview.html     | 2 +-
 anvio/data/interactive/js/genomeview/ui.js | 7 ++++++-
 2 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index aa560b64c5..53e438e69f 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -75,7 +75,7 @@
       <div id="scaleBox" height="140px">
         <svg id="scaleSvg" height="120px"></svg>
       </div>
-      <button data-toggle="modal" data-target="#tabular-modal-body" class="btn btn-default btn-lg">Display Viewport
+      <button data-toggle="modal" data-target="#tabular-modal-body" class="btn btn-default btn-lg" id="toggle-tabular-modal-button">Display Viewport
         Data</button>
       <button id="zoom-out" onclick="zoomOut()" style="float:right">-</button>
       <button id="zoom-in" onclick="zoomIn()" style="float:right; margin-right:5px">+</button>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 6c7c866afc..39835e8bb6 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -213,6 +213,11 @@ function setEventListeners(){
       drawer.draw();
     }
   });
+  document.body.addEventListener("keydown", function (ev) {
+    if (ev.which == 86 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // V = 86
+      $('#toggle-tabular-modal-button').click();
+    }
+  }, {passive: true});
   $('#genome_spacing').on('keydown', function (e) {
     if (e.keyCode == 13) { // 13 = enter key
       drawer.setGenomeSpacing($(this).val());
@@ -778,7 +783,7 @@ function showTabularModal(){
         <table id="${genome}-table"class="table table-striped" style="width: 100%; text-align: left; font-size: 12px; background: white">
           <thead id='tabular-modal-table-head'>
             <tr id='${genome}-tabular-modal-table-header-tr'>
-              <th id="${genome}-select"><input class="form-check-input" type='checkbox'></input>Select</th>
+              <th id="${genome}-select"><input class="form-check-input" type='checkbox' id='total-select'></input>Select</th>
               <th>Gene Caller ID</th>
               <th>Start</th>
               <th>Stop</th>

From ef7cfaf3a2ca341068c706622c7d5aed6feab942 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 22 Apr 2023 19:12:20 -0500
Subject: [PATCH 0866/1020] move all multiselect tabular modal functionality
 into the same function

---
 anvio/data/interactive/genomeview.html     |  4 +-
 anvio/data/interactive/js/genomeview/ui.js | 57 +++++++++-------------
 2 files changed, 26 insertions(+), 35 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 53e438e69f..112e15e1b2 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -129,13 +129,13 @@ <h4 class="modal-title">Viewport Genomic Data</h4>
               <div id="tabular-modal-sequence-checkboxes"></div>
               <div>
                 <input type='text' placeholder='metadata tag' id='metadata-tag-multiselect' />
-                <button class="btn btn-default" onclick=addMetadataToSelectedTabularModal()>Add metadata tag to selected</button>
+                <button class="btn btn-default" onclick="gatherTabularModalSelectedItems('metadata')">Add metadata tag to selected</button>
               </div>
               <div>
                 <div id="multiselect-picker-tabular-modal" class="colorpicker" color="#808080"
                   background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px">
                 </div>
-                <button class="btn btn-default" onclick="colorSelectedTabularModal()">Color selected</button>
+                <button class="btn btn-default" onclick="gatherTabularModalSelectedItems('color')">Color selected</button>
               </div>
               <div id="tabular-modal-annotation-checkboxes"></div>
             </div>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 39835e8bb6..8e6f4688b6 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -870,38 +870,6 @@ function showTabularModal(){
   });
 }
 
-function colorSelectedTabularModal() {
-  let hex = $('#multiselect-picker-tabular-modal').attr('color');
-
-  $('#modal-tab-content :checked').each(function(){
-    let [genomeID, geneID] = $(this).val().split('-');
-    $('#' + geneID + '-' + genomeID + '-picker-tabular-modal').css('background-color', hex);
-    $('#' + geneID + '-' + genomeID + '-picker-tabular-modal').attr('color', hex);
-
-    if(settings['display']['colors']['genes']?.[genomeID]){
-      settings['display']['colors']['genes'][genomeID][geneID] = hex
-    } else {
-      settings['display']['colors']['genes'][genomeID] = {}
-      settings['display']['colors']['genes'][genomeID][geneID] = hex
-    }
-
-    let arrow = canvas.getObjects().filter(obj => obj.id == 'arrow').find(arrow => arrow.geneID == geneID && arrow.genomeID == genomeID)
-    arrow.fill = hex
-    arrow.dirty = true
-    canvas.renderAll();
-  })
-}
-
-function addMetadataToSelectedTabularModal() {
-  let label = $('#metadata-tag-multiselect').val();
-  if(label.length == 0) return;
-
-  $('#modal-tab-content :checked').each(function(){
-    let [genomeID, geneID] = $(this).val().split('-')
-    addMetadataTag(genomeID, geneID, label);
-  })
-}
-
 function addMetadataTag(genomeID, geneID, label) {
   let queryBtn = `<button type='button' id='metadata-query' class='btn btn-default btn-sm'>Query sequence for matches</button>`
   let removeBtn = `<button type='button' id='metadata-remove' class='btn btn-default btn-sm'>Remove metadata item</button>`
@@ -938,7 +906,7 @@ function addMetadataTag(genomeID, geneID, label) {
 
 function gatherTabularModalSelectedItems(action){
   let targetedGenes = []
-  $('#modal-tab-content :checked').each(function(){
+  $('.form-check-input:checked').each(function(){
     let [genome, gene] = $(this).val().split('-')
     targetedGenes.push({genomeID: genome, geneID: gene})
   })
@@ -949,8 +917,31 @@ function gatherTabularModalSelectedItems(action){
       $('#tabular-modal-body').fadeOut(1000).delay(3000).fadeIn(1000)
       break;
     case 'color':
+      let hex = $('#multiselect-picker-tabular-modal').attr('color');
+      targetedGenes.forEach(gene => {
+        let [genomeID, geneID] = [gene['genomeID'], gene['geneID']];
+        $('#' + geneID + '-' + genomeID + '-picker-tabular-modal').css('background-color', hex);
+        $('#' + geneID + '-' + genomeID + '-picker-tabular-modal').attr('color', hex);
+    
+        if(settings['display']['colors']['genes']?.[genomeID]){
+          settings['display']['colors']['genes'][genomeID][geneID] = hex
+        } else {
+          settings['display']['colors']['genes'][genomeID] = {}
+          settings['display']['colors']['genes'][genomeID][geneID] = hex
+        }
+    
+        let arrow = canvas.getObjects().filter(obj => obj.id == 'arrow').find(arrow => arrow.geneID == geneID && arrow.genomeID == genomeID)
+        arrow.fill = hex
+        arrow.dirty = true
+        canvas.renderAll();
+      });
       break;
     case 'metadata':
+      let label = $('#metadata-tag-multiselect').val();
+      if(label.length == 0) return;
+      targetedGenes.forEach(gene => {
+        addMetadataTag(gene['genomeID'], gene['geneID'], label);
+      });
       break;
     default:
       break;

From 24d15e6976be07c6df7bb25315dec645684509fa Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 22 Apr 2023 20:20:12 -0500
Subject: [PATCH 0867/1020] add checkbox to tabular modal to select all genes
 in a given genome

---
 anvio/data/interactive/js/genomeview/ui.js | 12 +++++++++---
 1 file changed, 9 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 8e6f4688b6..cd2d8ac11c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -751,6 +751,11 @@ function showTabularModal(){
     canvas.renderAll()
   }
 
+  handleTotalSelect = () => {
+    let curr_genome = $('.active')[1].id;
+    $(`.${curr_genome}-input`).prop('checked', $('#total-select').prop('checked'));
+  }
+
   $('#tabular-modal-annotation-checkboxes').empty()
   functionSourcesArr.map(s => {
     $('#tabular-modal-annotation-checkboxes').append(
@@ -783,7 +788,7 @@ function showTabularModal(){
         <table id="${genome}-table"class="table table-striped" style="width: 100%; text-align: left; font-size: 12px; background: white">
           <thead id='tabular-modal-table-head'>
             <tr id='${genome}-tabular-modal-table-header-tr'>
-              <th id="${genome}-select"><input class="form-check-input" type='checkbox' id='total-select'></input>Select</th>
+              <th id="${genome}-select"><input class="form-check-input" type='checkbox' id='total-select' onclick="handleTotalSelect()"></input>Select</th>
               <th>Gene Caller ID</th>
               <th>Start</th>
               <th>Stop</th>
@@ -817,7 +822,7 @@ function showTabularModal(){
       let geneHex = gene.fill
       totalTableString += `
       <tr id='${genome[0]}-table-row-${gene['geneID']}'>
-        <td class='select'><input class="form-check-input" id="${genome[0]}-${gene['geneID']}" value="${genome[0]}-${gene['geneID']}" type='checkbox'></input></td>
+        <td class='select'><input class="form-check-input ${genome[0]}-input" id="${genome[0]}-${gene['geneID']}" value="${genome[0]}-${gene['geneID']}" type='checkbox'></input></td>
         <td>${gene['geneID']}</td>
         <td>${gene['gene']['start']}</td>
         <td>${gene['gene']['stop']}</td>
@@ -906,7 +911,8 @@ function addMetadataTag(genomeID, geneID, label) {
 
 function gatherTabularModalSelectedItems(action){
   let targetedGenes = []
-  $('.form-check-input:checked').each(function(){
+  let curr_genome = $('.active')[1].id;
+  $(`.${curr_genome}-input`).each(function(){
     let [genome, gene] = $(this).val().split('-')
     targetedGenes.push({genomeID: genome, geneID: gene})
   })

From 01bf8f0a1763c6d4c020b1d70c004ae513131039 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 23 Apr 2023 18:02:04 -0500
Subject: [PATCH 0868/1020] fix ADL graph so it's not upside down!

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 3ad76f2eae..9f2e4d6295 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -306,7 +306,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
       if (j > r) break;
 
       let left = j * scaleFactor + startingLeft
-      let top = [contigArr[j] / maxDataLayerValue] * layerHeight
+      let top = layerHeight - ([contigArr[j] / maxDataLayerValue] * layerHeight)
       let segment = `L ${left} ${top}`
       final_l = left // final_l is always last-seen x coordinate
       pathDirective.push(segment)

From 4d926dfb37374c73136e45523293db47a53f544e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 23 Apr 2023 18:38:30 -0500
Subject: [PATCH 0869/1020] fix GC content path

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 9f2e4d6295..51549b2cee 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -306,7 +306,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
       if (j > r) break;
 
       let left = j * scaleFactor + startingLeft
-      let top = layerHeight - ([contigArr[j] / maxDataLayerValue] * layerHeight)
+      let top = layerHeight - ((contigArr[j] / maxDataLayerValue) * layerHeight)
       let segment = `L ${left} ${top}`
       final_l = left // final_l is always last-seen x coordinate
       pathDirective.push(segment)
@@ -328,7 +328,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
     // canvas.bringToFront(graphObj)
     pathDirective = []
   }
-  layer_end_final_coordinates = `L ${final_l} ${layerHeight} L ${startingLeft} ${layerHeight}`
+  layer_end_final_coordinates = `L ${final_l} ${layerHeight} L ${startingLeft} ${layerHeight} z`
   globalPathDirective.push(layer_end_final_coordinates)
 
   let shadedObj = new fabric.Path(globalPathDirective.join(' '))

From 08bd91cd7e916c213a6e82c869cf6027fe14c07d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 23 Apr 2023 19:29:23 -0500
Subject: [PATCH 0870/1020] center gene labels and do not show the if label
 width > gene width

in the future we could improve this by just truncating the label dynamically to the number of letters that can fit
---
 anvio/data/interactive/js/genomeview/drawer.js | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 51549b2cee..6fabc4b7f0 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -179,7 +179,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
         fontSize: settings['display']['gene-label-size'],
         fontFamily: 'sans-serif',
         angle: settings['display']['gene-text-position'] == "above" ? -1 * settings['display']['gene-text-angle'] : 0,
-        left: xDisps[genomeID] + (((gene.start + gene.stop) / 2) - $('#gene_label').val()*2) * scaleFactor,
+        //left: xDisps[genomeID] + (((gene.start + gene.stop) / 2) - $('#gene_label').val()*2) * scaleFactor,
         fill: $('#gene_label_color').attr('color'),
         scaleX: 0.5,
         scaleY: 0.5,
@@ -191,6 +191,9 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
         lockScaling: true,
         hoverCursor: 'text'
       });
+      
+      label.left = xDisps[genomeID] + (((gene.start + gene.stop) / 2)  - label.width/2) * scaleFactor;
+
       if (this.settings['display']['arrow-style'] == 3) {
         label.set({
           top: settings['display']['gene-text-position'] == "inside" ? y + 13 - settings['display']['gene-label-size'] / 2 : y - 20 - settings['display']['gene-label-size'] / 2,
@@ -205,7 +208,9 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
       label.on("editing:exited", function (e) {
         console.log(label.text)
       });
-      canvas.add(label);
+
+      // do not add label if label width > gene width
+      if(label.width <= scaleFactor * (gene.stop - gene.start)) canvas.add(label);
     }
 
     function setGeneLabelFromSource(geneID, genomeID) {

From 453696762324ed1942794350e4d0dc29e8c968b8 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 23 Apr 2023 19:31:46 -0500
Subject: [PATCH 0871/1020] this is too strict

---
 anvio/data/interactive/js/genomeview/drawer.js | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 6fabc4b7f0..41ef1e9e2f 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -192,7 +192,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
         hoverCursor: 'text'
       });
       
-      label.left = xDisps[genomeID] + (((gene.start + gene.stop) / 2)  - label.width/2) * scaleFactor;
+      label.left = xDisps[genomeID] + (((gene.start + gene.stop) / 2) - label.width/2) * scaleFactor;
 
       if (this.settings['display']['arrow-style'] == 3) {
         label.set({
@@ -209,8 +209,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
         console.log(label.text)
       });
 
-      // do not add label if label width > gene width
-      if(label.width <= scaleFactor * (gene.stop - gene.start)) canvas.add(label);
+      canvas.add(label);
     }
 
     function setGeneLabelFromSource(geneID, genomeID) {

From 2008fad04388457760776155c5fae6ee574c08de Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 24 Apr 2023 00:14:10 -0500
Subject: [PATCH 0872/1020] fix

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index cd2d8ac11c..f5deae27ab 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -912,7 +912,7 @@ function addMetadataTag(genomeID, geneID, label) {
 function gatherTabularModalSelectedItems(action){
   let targetedGenes = []
   let curr_genome = $('.active')[1].id;
-  $(`.${curr_genome}-input`).each(function(){
+  $(`.${curr_genome}-input:checked`).each(function(){
     let [genome, gene] = $(this).val().split('-')
     targetedGenes.push({genomeID: genome, geneID: gene})
   })

From 4fcde759a018a992f3d777e464e8126b94057de6 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 25 Apr 2023 18:32:31 -0500
Subject: [PATCH 0873/1020] fix

---
 anvio/data/interactive/js/genomeview/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index f1e726893a..fd38276a0a 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -187,7 +187,7 @@ function calcXBounds() {
  *  @returns array of functional annotation types from table in `genomeData`
  */
 function getFunctionalAnnotations() {
-  return Object.keys(genomeData.genomes[0][1].genes.functions[0]);
+  return Object.keys(Object.values(genomeData.genomes[0][1].genes.functions)[0]);
 }
 
 /*

From 737942218803e4737d3c3ca3984cb85ef0d39173 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 25 Apr 2023 21:57:27 -0500
Subject: [PATCH 0874/1020] do not error if there are no functional annotations

---
 anvio/data/interactive/js/genomeview/utils.js | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index fd38276a0a..5c7696a544 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -187,7 +187,9 @@ function calcXBounds() {
  *  @returns array of functional annotation types from table in `genomeData`
  */
 function getFunctionalAnnotations() {
-  return Object.keys(Object.values(genomeData.genomes[0][1].genes.functions)[0]);
+  let fns = genomeData.genomes[0][1].genes.functions;
+  if(fns && Object.values(fns).length > 0) return Object.keys(Object.values(fns)[0]);
+  return []; // return empty array if no functional annotations found
 }
 
 /*

From 26c5545d99cb067b71de44403517bbf8b8e93015 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 25 Apr 2023 22:01:07 -0500
Subject: [PATCH 0875/1020] check for annotations properly

---
 anvio/data/interactive/js/genomeview/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 5c7696a544..00e9f20b1f 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -196,7 +196,7 @@ function getFunctionalAnnotations() {
  *  @returns arbitrary category:color dict given a list of categories
  */
 function getCustomColorDict(fn_type, cags=null, order=null) {
-  if(!Object.keys(genomeData.genomes[0][1].genes.functions[0]).includes(fn_type)) return null;
+  if(!getFunctionalAnnotations().includes(fn_type)) return null;
 
   if(!cags) {
     cags = [];

From 561cd1ba169175b3178ca856a3f74bb6eac67e09 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 25 Apr 2023 22:13:57 -0500
Subject: [PATCH 0876/1020] cleaner

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index f5deae27ab..3946c9408d 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1344,7 +1344,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
       let gene_calls = genome[1].genes.gene_calls;
       let gene_funs = genome[1].genes.functions;
 
-      for(let i = 0; i < Object.keys(gene_calls)[Object.keys(gene_calls).length-1]; i++) {
+      for(i of Object.keys(gene_calls)) {
         if(filter_to_window && (gene_calls[i].start < renderWindow[0] || gene_calls[i].stop > renderWindow[1])) continue;
         let cag = getCagForType(gene_funs[i], fn_type);
         counts.push(cag ? cag : "None");

From 2bb5d4b80eb06dffa6b8ee7d5759aa007673017c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 25 Apr 2023 22:38:15 -0500
Subject: [PATCH 0877/1020] only include genome labels in SVG if turned on

---
 anvio/data/interactive/js/genomeview/ui.js | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 3946c9408d..4db83d1efe 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1592,9 +1592,11 @@ function exportToSVG() {
   let filedata = canvas.toSVG();
 
   // append labelSVG to end of main canvas SVG
-  let labelSVG = labelCanvas.toSVG();
-  labelSVG = labelSVG.substring(labelSVG.indexOf("<g"), labelSVG.length-7);
-  filedata = filedata.slice(0, filedata.length-6) + labelSVG + filedata.slice(filedata.length-6, filedata.length);
+  if($('#show_genome_labels_box').prop('checked')) {
+    let labelSVG = labelCanvas.toSVG();
+    labelSVG = labelSVG.substring(labelSVG.indexOf("<g"), labelSVG.length-7);
+    filedata = filedata.slice(0, filedata.length-6) + labelSVG + filedata.slice(filedata.length-6, filedata.length);
+  }
 
   let locfile = new Blob([filedata], {type: "image/svg+xml;charset=utf-8"});
 

From c97648b399b6109322c7bd2bcc40f961be00eb95 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 25 Apr 2023 23:23:01 -0500
Subject: [PATCH 0878/1020] restyle bookmark descriptions

---
 anvio/data/interactive/genomeview.html     | 2 +-
 anvio/data/interactive/js/genomeview/ui.js | 8 ++++++--
 2 files changed, 7 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 112e15e1b2..367b781d45 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -85,7 +85,7 @@
       <select id='bookmarks-select' style="width: 120px; float:left; margin-left:10px">
         <option selected="true" disabled="disabled">Bookmarks</option>
       </select>
-      <p id='bookmark-description' style="width: 300px; float:left; margin-left:10px; font-size: large;"></p>
+      <p id='bookmark-description' style="width: 300px; height: 45px; float:left; margin-left:10px; margin-right: 10px; margin-bottom: 0px; padding-left: 5px; font-size: large; overflow: scroll"></p>
     </div>
     <div id='tooltip-body' display='none'></div>
     <div id='deepdive-modal-body' class="modal">
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 4db83d1efe..f3ca1c7102 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1290,14 +1290,18 @@ function respondToBookmarkSelect(){
     $('#brush_end').val(stop);
     try {
       brush.extent([start, stop]);
-          brush(d3.select(".brush").transition());
-          brush.event(d3.select(".brush").transition());
+      brush(d3.select(".brush").transition());
+      brush.event(d3.select(".brush").transition());
       let selectedBookmark = settings['display']['bookmarks'].find(bookmark => bookmark.start == start && bookmark.stop == stop)
       $('#bookmark-description').text(selectedBookmark['description'])
       toastr.success("Bookmark successfully loaded")
     } catch (error) {
       toastr.warn(`Unable to load bookmark because of an error ${error}`)
     }
+    if($('#bookmarks-select').val() != 'Bookmarks') {
+      $('#bookmark-description').css('border-style', 'solid');
+      $('#bookmark-description').css('border-width', '1px');
+    }
   })
 }
 

From bf676ba5c9d7dc60590d30721b20ca7aa1470e9b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 26 Apr 2023 14:57:39 -0500
Subject: [PATCH 0879/1020] clear multiselect text field after use

---
 anvio/data/interactive/js/genomeview/ui.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index f3ca1c7102..beb82e341c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -948,6 +948,7 @@ function gatherTabularModalSelectedItems(action){
       targetedGenes.forEach(gene => {
         addMetadataTag(gene['genomeID'], gene['geneID'], label);
       });
+      $('#metadata-tag-multiselect').val('');
       break;
     default:
       break;

From b4c4774b74bb0b7432592a9c0d76d2973667fcb6 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 26 Apr 2023 21:58:40 -0500
Subject: [PATCH 0880/1020] add bookmarks table to query pane; allow user to
 remove bookmarks

---
 anvio/data/interactive/genomeview.html     |  4 ++
 anvio/data/interactive/js/genomeview/ui.js | 45 ++++++++++++++++++++--
 2 files changed, 46 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 367b781d45..df7e4985de 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -574,6 +574,10 @@ <h4 class="modal-title">Lasso</h4>
         </tr>
       </tbody>
     </table>
+    <table id="currBookmarksTable" class="table table-striped" style="width: 100%; text-align: center;">
+      <thead id="currBookmarksTableHead"></thead>
+      <tbody id="curr-bookmarks-table"></tbody>
+    </table>
   </div>
 
   <div id="toggle-panel-mouseover" onclick="toggleRightPanel('#mouseover-panel')">
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index beb82e341c..73353bc62f 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1253,14 +1253,36 @@ function setLabelCanvas() {
  *  capture user bookmark values and store obj in state
  */
 function createBookmark(){
-  if(!$('#create_bookmark_input').val()){
+  let bookmark_name = $('#create_bookmark_input').val()
+  if(!bookmark_name){
     alert('please provide a name for your bookmark :)')
     return
+  } else if(settings['display']['bookmarks'].find(obj => obj.name == bookmark_name)) {
+    alert('an existing bookmark already has this name! please provide a unique name for your bookmark :)')
+    return
   }
   try {
+    if(Object.keys(settings['display']['bookmarks']).length == 0) {
+      $('#currBookmarksTableHead').append(`
+          <tr><th>Bookmark Name</th>
+          <th>Start</th>
+          <th>Stop</th>
+          <th>Action</th>
+          </tr>`
+      )
+    }
+    $('#curr-bookmarks-table').append(`
+      <tr id=bookmark-row-${bookmark_name}>
+        <td>${bookmark_name}</td>
+        <td>${$('#brush_start').val()}</td>
+        <td>${$('#brush_end').val()}</td>
+        <td><button onclick="removeBookmark('${bookmark_name}')">Remove bookmark</button></td>
+      </tr>`
+    )
+
     settings['display']['bookmarks'].push(
       {
-        name : $('#create_bookmark_input').val(),
+        name : bookmark_name,
         start : $('#brush_start').val(),
         stop : $('#brush_end').val(),
         description : $('#create_bookmark_description').val(),
@@ -1297,7 +1319,7 @@ function respondToBookmarkSelect(){
       $('#bookmark-description').text(selectedBookmark['description'])
       toastr.success("Bookmark successfully loaded")
     } catch (error) {
-      toastr.warn(`Unable to load bookmark because of an error ${error}`)
+      toastr.warning(`Unable to load bookmark because of an error ${error}`)
     }
     if($('#bookmarks-select').val() != 'Bookmarks') {
       $('#bookmark-description').css('border-style', 'solid');
@@ -1305,6 +1327,23 @@ function respondToBookmarkSelect(){
     }
   })
 }
+/*
+ *  remove bookmark with a given name
+ */
+function removeBookmark(name) {
+  settings['display']['bookmarks'] = settings['display']['bookmarks'].filter(bookmark => bookmark.name != name);
+  if(settings['display']['bookmarks'].length == 0) {
+    $('#currBookmarksTableHead').empty();
+  }
+  $(`#curr-bookmarks-table tr#bookmark-row-${name}`).remove();
+
+  $('#bookmark-description').empty()
+  $('#bookmarks-select').empty()
+  $('#bookmarks-select').prepend('<option>Bookmarks</option>')
+  settings['display']['bookmarks'].map(bookmark => {
+    $('#bookmarks-select').append((new Option(bookmark['name'], [bookmark["start"], bookmark['stop']])))
+  })
+}
 
 /*
  *  respond to ui, redraw with updated group layer order

From 9c737a59c0d9d46523cb5138af70907d5ff65b92 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 27 Apr 2023 01:09:09 -0500
Subject: [PATCH 0881/1020] store a separate genomeMax for each genome

instead of genomeMax storing the single largest NT length across all genomes, it is now a dictionary that stores the length of each genome. we store the global genome max in `globalGenomeMax`
---
 .../data/interactive/js/genomeview/drawer.js  | 32 +++++++++----------
 anvio/data/interactive/js/genomeview/main.js  |  5 +--
 .../interactive/js/genomeview/navigation.js   | 20 ++++++------
 anvio/data/interactive/js/genomeview/test.js  |  2 +-
 anvio/data/interactive/js/genomeview/ui.js    |  8 ++---
 anvio/data/interactive/js/genomeview/utils.js | 16 ++++++----
 6 files changed, 44 insertions(+), 39 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 41ef1e9e2f..26a5993ca1 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -63,7 +63,7 @@ GenomeDrawer.prototype.addLayers = function (genomeIndex, orderIndex) {
 
   let additionalDataLayers = this.settings['additional-data-layers']['data'][genomeID]
 
-  let ptInterval = Math.floor(genomeMax / settings['display']['adlPtsPerLayer']);
+  let ptInterval = Math.floor(genomeMax[genomeID] / settings['display']['adlPtsPerLayer']);
 
   this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
     if (layer == 'Genome' && $('#Genome-show').is(':checked')) {
@@ -97,7 +97,7 @@ GenomeDrawer.prototype.addGroupBorder = function (yOffset, orderIndex) {
 
   let top = yOffset + marginTop - 10 + (orderIndex * groupMargin)
   let left = -20
-  let width = genomeMax*scaleFactor + 50
+  let width = genomeMax[genomeID]*scaleFactor + 50
   let height = spacing + 50
 
   let rect = new fabric.Rect({
@@ -154,7 +154,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
     hoverCursor: 'default'
   });
   canvas.add(lineObj);
-  //this.addBackgroundShade((marginTop + yOffset + layerPos + (orderIndex * groupMargin)), start, genomeMax, layerHeight, orderIndex, genomeIndex)
+  //this.addBackgroundShade((marginTop + yOffset + layerPos + (orderIndex * groupMargin)), start, genomeMax[genomeID], layerHeight, orderIndex, genomeIndex)
 
   // draw set labels
   if (settings['display']['show-gene-labels'] && settings['display']['labels']['gene-sets'][genomeID]) {
@@ -305,7 +305,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
   let final_l = 0 //used to create final line segments to 'close out' path obj for shading purposes.
   let [l, r] = getRenderNTRange(genomeID);
   for (let i = 0; i <= nGroups; i++) {
-    for (; j < i * genomeMax / nGroups; j += ptInterval) {
+    for (; j < i * contigArr.length / nGroups; j += ptInterval) {
       if (j < l) continue;
       if (j > r) break;
 
@@ -348,7 +348,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
     genome: genomeID
   })
   canvas.bringToFront(shadedObj)
-  this.addBackgroundShade(startingTop, startingLeft, genomeMax*scaleFactor, layerHeight, orderIndex, genomeIndex)
+  this.addBackgroundShade(startingTop, startingLeft, genomeMax[genomeID]*scaleFactor, layerHeight, orderIndex, genomeIndex)
 }
 
 /*
@@ -365,7 +365,7 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function (genomeID, layerPos, laye
   let [l, r] = getRenderNTRange(genomeID);
   for (let i = 0; i < nRulers; i++) {
     let ruler = new fabric.Group();
-    for (; w < (i + 1) * genomeMax / nRulers; w += settings['display']['genome-scale-interval']) {
+    for (; w < (i + 1) * genomeMax[genomeID] / nRulers; w += settings['display']['genome-scale-interval']) {
       if (w < l) continue;
       if (w > r) break;
       let tick = new fabric.Line([0, 0, 0, 20], {
@@ -401,7 +401,7 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function (genomeID, layerPos, laye
     ruler.addWithUpdate();
     canvas.add(ruler);
   }
-  //this.addBackgroundShade(startingTop, startingLeft, genomeMax, layerHeight+5, orderIndex, genomeIndex)
+  //this.addBackgroundShade(startingTop, startingLeft, genomeMax[genomeID], layerHeight+5, orderIndex, genomeIndex)
 }
 
 /*
@@ -698,8 +698,8 @@ GenomeDrawer.prototype.clearShades = function () {
 GenomeDrawer.prototype.setPtsPerADL = function (newResolution) {
   if (isNaN(newResolution)) return;
   newResolution = parseInt(newResolution);
-  if (newResolution < 0 || newResolution > genomeMax) {
-    alert(`Invalid value, points per additional data layer must be in range 0-${genomeMax}.`);
+  if (newResolution < 0 || newResolution > globalGenomeMax) {
+    alert(`Invalid value, points per additional data layer must be in range 0-${globalGenomeMax}.`);
     return;
   }
   settings['display']['adlPtsPerLayer'] = newResolution;
@@ -707,8 +707,8 @@ GenomeDrawer.prototype.setPtsPerADL = function (newResolution) {
 }
 
 GenomeDrawer.prototype.showAllADLPts = function () {
-  this.setPtsPerADL(genomeMax);
-  $('#adl_pts_per_layer').val(genomeMax);
+  this.setPtsPerADL(globalGenomeMax); // TODO: account for different genome maxes
+  $('#adl_pts_per_layer').val(globalGenomeMax);
   $('#showAllADLPtsBtn').blur();
 }
 
@@ -884,7 +884,7 @@ GenomeDrawer.prototype.queryFunctions = async function () {
   })
   let lowestStart, highestEnd = null
   function renderAllGenes(){
-    if(genomeMax > 35000){
+    if(globalGenomeMax > 35000){
       glowPayload.map(gene => {
         let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
         let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
@@ -903,7 +903,7 @@ GenomeDrawer.prototype.queryFunctions = async function () {
       })
     } else {
       lowestStart = 0
-      highestEnd = genomeMax
+      highestEnd = globalGenomeMax
     }
   }
   renderAllGenes()
@@ -933,7 +933,7 @@ GenomeDrawer.prototype.queryMetadata = async function(metadataLabel){
     return
   }
   let lowestStart, highestEnd = null
-  if (genomeMax > 35000) {
+  if (globalGenomeMax > 35000) { // TODO: instead of globalGenomeMax, use genomeMax[genomeID] for currently selected genomeID
     glowPayload.map(gene => {
       let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
       let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
@@ -952,7 +952,7 @@ GenomeDrawer.prototype.queryMetadata = async function(metadataLabel){
     })
   } else {
     lowestStart = 0
-    highestEnd = genomeMax
+    highestEnd = globalGenomeMax
   }
   await zoomOutAndWait('partial', lowestStart, highestEnd, 350)
   this.glowGenes(glowPayload, true)
@@ -960,6 +960,6 @@ GenomeDrawer.prototype.queryMetadata = async function(metadataLabel){
 
 GenomeDrawer.prototype.setInitialZoom = function(){
     let start = 0
-    let stop = genomeMax > 35000 ? 35000 : genomeMax
+    let stop = globalGenomeMax > 35000 ? 35000 : globalGenomeMax
     zoomOut('partial', start, stop)
 }
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index d4dab7e279..ebe8304ed2 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -32,7 +32,8 @@ var stateData = {};
 var settings = {} // packaged obj sent off to GenomeDrawer
 var xDisps = {};
 var renderWindow = []; 
-var genomeMax = 0;
+var genomeMax = {};
+var globalGenomeMax = 0;
 var yOffset = 0 // y-location for the current additional data layer
 var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
 var maxGroupSize = 2 // used to calculate group height. base of 2 as each group will contain at minimum a genome layer + group ruler.
@@ -554,7 +555,7 @@ function loadAll(loadType) {
     }
   }
 
-  calculateMaxGenomeLength()
+  calculateGenomeLengths()
 
   if(loadType == 'init') {
     $('#gene_color_order').append($('<option>', {
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index c04d10e51c..92573d9906 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -24,6 +24,7 @@
  */
 
  function zoomIn() {
+    // TODO: instead of globalGenomeMax, use genomeMax[genomeID] for currently selected genomeID
     let start = percentScale ? parseFloat($('#brush_start').val()) : parseInt($('#brush_start').val());
     let end = percentScale ? parseFloat($('#brush_end').val()) : parseInt($('#brush_end').val());
     let newStart, newEnd;
@@ -40,8 +41,8 @@
         if(newEnd - newStart <= 0) return;
       }
     } else {
-      if(len > 4*genomeMax/50) {
-        newStart = Math.floor(start + genomeMax/50), newEnd = Math.floor(end - genomeMax/50);
+      if(len > 4*globalGenomeMax/50) {
+        newStart = Math.floor(start + globalGenomeMax/50), newEnd = Math.floor(end - globalGenomeMax/50);
       } else {
         if(len < 50) return;
         newStart = Math.floor(start + len/4);
@@ -56,11 +57,12 @@
   }
 
   function zoomOut(type, start, end) {
+    // TODO: instead of globalGenomeMax, use genomeMax[genomeID] for currently selected genomeID
     let newStart, newEnd
 
     if(type && type == 'fully'){
       newStart = 0
-      newEnd = percentScale ? 1 : genomeMax
+      newEnd = percentScale ? 1 : globalGenomeMax
     } else if(type && type == 'partial'){
       newStart = start - (percentScale ? .02 : 10000)
       newEnd = end + (percentScale ? .02 : 10000)
@@ -72,9 +74,9 @@
       } else {
         let start = parseInt($('#brush_start').val());
         let end = parseInt($('#brush_end').val());
-        newStart = start - genomeMax/50, newEnd = end + genomeMax/50;
+        newStart = start - globalGenomeMax/50, newEnd = end + globalGenomeMax/50;
       }
-      if(newStart == 0 && newEnd == genomeMax) { // for extra-zoomed-out view
+      if(newStart == 0 && newEnd == genoglobalGenomeMaxmeMax) { // for extra-zoomed-out view
         scaleFactor = 0.01;
         if(settings['display']['dynamic-scale-interval']) adjustScaleInterval();
       drawer.draw()
@@ -82,7 +84,7 @@
       }
     }
     if(newStart < 0) newStart = 0;
-    newEnd = clamp(newEnd, 0, percentScale ? 1 : genomeMax);
+    newEnd = clamp(newEnd, 0, percentScale ? 1 : globalGenomeMax);
 
     brush.extent([newStart, newEnd]);
     brush(d3.select(".brush").transition());
@@ -128,7 +130,7 @@ function setPercentScale() {
 function drawScale() {
   let scaleWidth = canvas.getWidth();
   let scaleHeight = 100;
-  let domain = percentScale ? [0,1] : [0,genomeMax];
+  let domain = percentScale ? [0,1] : [0,globalGenomeMax]; // TODO: use genomeMax[genomeID] for currently selected genomeID
   let xScale = d3.scale.linear().range([0, scaleWidth]).domain(domain);
   let scaleAxis = d3.svg.axis()
               .scale(xScale)
@@ -214,7 +216,7 @@ function updateRenderWindow() {
   } else {
     let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
     let diff = end - start > 10000 ? Math.floor((end - start)/2) : 5000;
-    renderWindow = [clamp(start - diff, 0, genomeMax), clamp(end + diff, 0, genomeMax)];
+    renderWindow = [clamp(start - diff, 0, globalGenomeMax), clamp(end + diff, 0, globalGenomeMax)]; // TODO: use genomeMax[genomeID] for currently selected genomeID
 
     if(filter_gene_colors_to_window) {
       generateColorTable(null, color_db);
@@ -249,7 +251,7 @@ function viewCluster(gc) {
       if(first) {
         geneMid = targetGene.start + (targetGene.stop - targetGene.start) / 2;
         canvas.absolutePan({x: scaleFactor*geneMid + xDisps[genome[0]] - canvas.getWidth()/2, y: 0});
-        canvas.viewportTransform[4] = clamp(canvas.viewportTransform[4], canvas.getWidth() - genomeMax*scaleFactor - xDisps[genome[0]] - 125, 125);
+        canvas.viewportTransform[4] = clamp(canvas.viewportTransform[4], canvas.getWidth() - genomeMax[genome[0]]*scaleFactor - xDisps[genome[0]] - 125, 125);
         firstGenomeID = genome[0];
         first = false;
       }
diff --git a/anvio/data/interactive/js/genomeview/test.js b/anvio/data/interactive/js/genomeview/test.js
index a514d29518..a73cd16682 100644
--- a/anvio/data/interactive/js/genomeview/test.js
+++ b/anvio/data/interactive/js/genomeview/test.js
@@ -33,7 +33,7 @@ function generateMockADL() {
   for (let i = 0; i < settings['genomeData']['genomes'].length; i++) { // generate mock additional data layer content
     let gcContent = []
     let coverage = []
-    for (let j = 0; j < genomeMax; j++) {
+    for (let j = 0; j < genomeMax[settings['genomeData']['genomes'][i][0]]; j++) {
       gcContent.push(Math.floor(Math.random() * 45))
       coverage.push(Math.floor(Math.random() * 45))
     }
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 73353bc62f..1c9039ccba 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -114,9 +114,9 @@ function setCanvasListeners(){
     let [start, end] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())] 
                                     : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
     let [newStart, newEnd] = percentScale ? [Math.floor((start - diff)*10000)/10000, Math.floor((end + diff)*10000)/10000]
-                                          : [Math.floor(start - diff * genomeMax), Math.floor(end + diff * genomeMax)];
+                                          : [Math.floor(start - diff * globalGenomeMax), Math.floor(end + diff * globalGenomeMax)];
     if (newStart < 0) newStart = 0;
-    newEnd = clamp(newEnd, 0, percentScale ? 1 : genomeMax);
+    newEnd = clamp(newEnd, 0, percentScale ? 1 : globalGenomeMax); // TODO: for genome sliding, use genomeMax[genomeID]
     if(percentScale && newEnd - newStart < 0.02) return;
     if(!percentScale && newEnd - newStart < 50) return;
 
@@ -203,7 +203,7 @@ function setEventListeners(){
   document.body.addEventListener("keydown", function (ev) {
     if (ev.which == 39 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // Right Arrow = 39
       let [start, stop] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-      if(stop + 1000 > genomeMax) return;
+      if(stop + 1000 > globalGenomeMax) return;
       $('#brush_start').val(start + 1000);
       $('#brush_end').val(stop + 1000);
       brush.extent([start+1000, stop+1000]);
@@ -325,7 +325,7 @@ function setEventListeners(){
     if (ev.which == 13) { // enter key
       let [start, end] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())]
         : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-      let endBound = percentScale ? 1 : genomeMax;
+      let endBound = percentScale ? 1 : globalGenomeMax; // TODO: for genome sliding, check genomeMax[genomeID] for currently selected genomeID
 
       if (isNaN(start) || isNaN(end) || start < 0 || start > endBound || end < 0 || end > endBound) {
         alert(`Invalid value, value needs to be in range 0-${endBound}.`);
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 00e9f20b1f..22c46018ca 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -37,13 +37,15 @@ function calculateMainCanvasHeight(){
 }
 
 /*
- *  Save NT length of the largest genome in `genomeMax`.
+ *  Save NT length of each genome in `genomeMax` dict, and save length of the largest genome in `globalGenomeMax`.
  */
-function calculateMaxGenomeLength(){
+function calculateGenomeLengths(){
   for(genome of genomeData.genomes) {
+    let genomeID = genome[0]
     genome = genome[1].genes.gene_calls;
     let genomeEnd = genome[Object.keys(genome).length-1].stop;
-    if(genomeEnd > genomeMax) genomeMax = genomeEnd;
+    genomeMax[genomeID] = genomeEnd;
+    if(genomeEnd > globalGenomeMax) globalGenomeMax = genomeEnd;
   }
 }
 
@@ -109,9 +111,9 @@ function checkGeneLabels() {
     window_right -= window_left;
     window_left = 0;
   }
-  if(window_right > genomeMax) {
-    window_left -= (window_right - genomeMax);
-    window_right = genomeMax;
+  if(window_right > globalGenomeMax) {
+    window_left -= (window_right - globalGenomeMax);
+    window_right = globalGenomeMax;
   }
   return [window_left, window_right];
 }
@@ -163,7 +165,7 @@ function getRenderNTRange(genomeID) {
   if(!percentScale) return renderWindow;
   //let [l,r] = calcXBounds();
   let [start, end] = getRenderXRangeForFrac().map(x => (x-xDisps[genomeID])/scaleFactor);
-  return [clamp(start,0,genomeMax), clamp(end,0,genomeMax)];
+  return [clamp(start,0,genomeMax[genomeID]), clamp(end,0,genomeMax[genomeID])];
 }
 
 /*

From e14de22e770da4c5717a1a0510f4aa0443eb819f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 27 Apr 2023 01:16:57 -0500
Subject: [PATCH 0882/1020] fix

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 26a5993ca1..87c3853cec 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -63,7 +63,7 @@ GenomeDrawer.prototype.addLayers = function (genomeIndex, orderIndex) {
 
   let additionalDataLayers = this.settings['additional-data-layers']['data'][genomeID]
 
-  let ptInterval = Math.floor(genomeMax[genomeID] / settings['display']['adlPtsPerLayer']);
+  let ptInterval = Math.floor(globalGenomeMax / settings['display']['adlPtsPerLayer']);
 
   this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
     if (layer == 'Genome' && $('#Genome-show').is(':checked')) {

From c25d502f0b42428c0ee7422ccc6a35f40b8b1849 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 27 Apr 2023 01:36:23 -0500
Subject: [PATCH 0883/1020] new function `calcXBoundsForGenome`

---
 anvio/data/interactive/js/genomeview/utils.js | 13 +++++++++----
 1 file changed, 9 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 22c46018ca..1974c6d18f 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -168,6 +168,14 @@ function getRenderNTRange(genomeID) {
   return [clamp(start,0,genomeMax[genomeID]), clamp(end,0,genomeMax[genomeID])];
 }
 
+/*
+ *  @returns array [min, max] where
+ *    min = x-start of the given genome, max = x-end of the given genome
+ */
+function calcXBoundsForGenome(genomeID) {
+  return [xDisps[genomeID], xDisps[genomeID] + genomeMax[genomeID]*scaleFactor];
+}
+
 /*
  *  @returns array [min, max] where
  *    min = x-start of the leftmost genome, max = x-end of the rightmost genome
@@ -175,10 +183,7 @@ function getRenderNTRange(genomeID) {
 function calcXBounds() {
   let min = 9*(10**9), max = -9*(10**9);
   for(genome of genomeData.genomes) {
-    let genomeName = genome[0];
-    let genes = genome[1].genes.gene_calls;
-    let start = xDisps[genomeName];
-    let end = xDisps[genomeName] + scaleFactor*genes[Object.keys(genes).length-1].stop;
+    let [start, end] = calcXBoundsForGenome(genome[0]);
     if(start < min) min = start;
     if(end > max) max = end;
   }

From 27f1f66dfa0adcb51c38d9048856c5c0818239b5 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 27 Apr 2023 01:36:49 -0500
Subject: [PATCH 0884/1020] only draw genome line within its own nt boundaries

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 87c3853cec..ad3fdf4926 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -136,8 +136,8 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
   let y = marginTop + yOffset + layerPos + (layerHeight / 2) + (orderIndex * groupMargin) // render arrows in the center of genome layer's allotted vertical space
 
   let [start, stop] = percentScale ? getRenderXRangeForFrac() : renderWindow.map(x => x * scaleFactor + xDisps[genomeID]);
-  start = clamp(start > xDisps[genomeID] ? start : xDisps[genomeID], calcXBounds()[0], calcXBounds()[1]);
-  stop = clamp(stop, calcXBounds()[0], calcXBounds()[1]);
+  start = clamp(start > xDisps[genomeID] ? start : xDisps[genomeID], calcXBoundsForGenome(genomeID)[0], calcXBoundsForGenome(genomeID)[1]);
+  stop = clamp(stop, calcXBoundsForGenome(genomeID)[0], calcXBoundsForGenome(genomeID)[1]);
 
   // line
   let lineObj = new fabric.Line([start, 0, stop, 0], {

From d7bb12d18f8499b75889f6a0fbcb40503ac0f0b2 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 27 Apr 2023 01:37:09 -0500
Subject: [PATCH 0885/1020] updateRenderWindow takes into account local genome
 max

---
 anvio/data/interactive/js/genomeview/navigation.js | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 92573d9906..463d3fdc02 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -207,7 +207,8 @@ function updateScalePos() {
   $('#brush_end').val(newEnd);
 }
 
-function updateRenderWindow() {
+function updateRenderWindow(genomeID=null) {
+  let max = genomeID ? genomeMax[genomeID] : globalGenomeMax;
   if(percentScale) {
     let resolution = 4; // # decimals to show for renderw window
     let [start, end] = [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())];
@@ -216,7 +217,7 @@ function updateRenderWindow() {
   } else {
     let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
     let diff = end - start > 10000 ? Math.floor((end - start)/2) : 5000;
-    renderWindow = [clamp(start - diff, 0, globalGenomeMax), clamp(end + diff, 0, globalGenomeMax)]; // TODO: use genomeMax[genomeID] for currently selected genomeID
+    renderWindow = [clamp(start - diff, 0, max), clamp(end + diff, 0, max)]; // TODO: use genomeMax[genomeID] for currently selected genomeID
 
     if(filter_gene_colors_to_window) {
       generateColorTable(null, color_db);

From e0104fd6b1f90a7d5056c0c42ce18a52e8cfced3 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 27 Apr 2023 18:02:54 -0500
Subject: [PATCH 0886/1020] testing

---
 anvio/data/interactive/js/genomeview/main.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index ebe8304ed2..a6774c493f 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -56,6 +56,7 @@ var counts; // stores # occurences for each category in the current function typ
 var genomeData;
 
 $(document).ready(function () {
+  console.log("GOT HERE ====================\n\n")
   toastr.options = {
     "closeButton": true,
     "debug": false,

From 2ca8f7df6ebcd43e00092863174adc2fcaac96f7 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 27 Apr 2023 18:11:28 -0500
Subject: [PATCH 0887/1020] more test logs

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index ad3fdf4926..c208d04b79 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -30,9 +30,10 @@ GenomeDrawer.prototype.draw = function () {
   canvas.clear()
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
   labelCanvas.setHeight(calculateMainCanvasHeight());
-
+console.log("canvas height set")
   let orderIndex = 0
   this.settings['genomeData']['genomes'].map((genome, idx) => {
+    console.log("inside addLayers loop iteration: " + idx)
     if($('#' + genome[0] + '-show').is(':checked')) {
       this.addLayers(idx, orderIndex)
       orderIndex++
@@ -53,6 +54,7 @@ GenomeDrawer.prototype.draw = function () {
  *  For each genome group, iterate additional all layers and render where appropriate
  */
 GenomeDrawer.prototype.addLayers = function (genomeIndex, orderIndex) {
+  console.log("inside addLayers orderIndex" + orderIndex)
   let [dataLayerHeight, rulerHeight] = [this.calculateLayerSizes()[0], this.calculateLayerSizes()[1]]
 
   yOffset = orderIndex * spacing + (orderIndex * maxGroupSize * groupLayerPadding);

From 0c58f50e48d3c4d4214b592fe0e7dcda999f814b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 27 Apr 2023 18:14:08 -0500
Subject: [PATCH 0888/1020] more tests

---
 anvio/data/interactive/js/genomeview/drawer.js | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index c208d04b79..243a276832 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -66,8 +66,9 @@ GenomeDrawer.prototype.addLayers = function (genomeIndex, orderIndex) {
   let additionalDataLayers = this.settings['additional-data-layers']['data'][genomeID]
 
   let ptInterval = Math.floor(globalGenomeMax / settings['display']['adlPtsPerLayer']);
-
+console.log("set ADLs and ptInterval")
   this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
+    console.log("groupLayerOrder index "+ idx)
     if (layer == 'Genome' && $('#Genome-show').is(':checked')) {
       this.addGenome(orderIndex, dataLayerHeight, layerPos, genomeIndex)
       layerPos += dataLayerHeight + groupLayerPadding
@@ -85,7 +86,7 @@ GenomeDrawer.prototype.addLayers = function (genomeIndex, orderIndex) {
       layerPos += rulerHeight + groupLayerPadding
     }
   })
-
+console.log("groupLayer loop done")
   canvas.remove(canvas.getObjects().find(obj => obj.id == 'groupBorder' + genomeIndex));
   this.addGroupBorder(yOffset, orderIndex)
 }

From a344fbdb5b3c82a7b451bcbfdc7139409406de49 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 27 Apr 2023 18:17:13 -0500
Subject: [PATCH 0889/1020] even more

---
 anvio/data/interactive/js/genomeview/drawer.js | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 243a276832..46d7b922a2 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -66,24 +66,28 @@ GenomeDrawer.prototype.addLayers = function (genomeIndex, orderIndex) {
   let additionalDataLayers = this.settings['additional-data-layers']['data'][genomeID]
 
   let ptInterval = Math.floor(globalGenomeMax / settings['display']['adlPtsPerLayer']);
-console.log("set ADLs and ptInterval")
+
   this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
     console.log("groupLayerOrder index "+ idx)
     if (layer == 'Genome' && $('#Genome-show').is(':checked')) {
       this.addGenome(orderIndex, dataLayerHeight, layerPos, genomeIndex)
       layerPos += dataLayerHeight + groupLayerPadding
+      console.log("genome added successfully")
     }
     if (layer == 'Coverage' && this.settings['additional-data-layers']['layers'].includes('Coverage') && $('#Coverage-show').is(':checked')) {
       this.buildNumericalDataLayer('Coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', dataLayerHeight, orderIndex, genomeIndex)
       layerPos += dataLayerHeight + groupLayerPadding
+      console.log("coverage added successfully")
     }
     if (layer == 'GC_Content' && this.settings['additional-data-layers']['layers'].includes('GC_content') && $('#GC_Content-show').is(':checked')) {
       this.buildNumericalDataLayer('GC_content', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', dataLayerHeight, orderIndex, genomeIndex)
       layerPos += dataLayerHeight + groupLayerPadding
+      console.log("GC Content added successfully")
     }
     if (layer == 'Ruler' && this.settings['additional-data-layers']['layers'].includes('ruler') && $('#Ruler-show').is(':checked')) {
       this.buildGroupRulerLayer(genomeID, layerPos, rulerHeight, orderIndex)
       layerPos += rulerHeight + groupLayerPadding
+      console.log("Ruler added successfully")
     }
   })
 console.log("groupLayer loop done")
@@ -133,6 +137,7 @@ GenomeDrawer.prototype.calculateLayerSizes = function () {
 }
 
 GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos, genomeIndex) {
+  console.log("addGenome function")
   let genome = this.settings['genomeData']['genomes'][genomeIndex];
   let gene_list = genome[1].genes.gene_calls;
   let genomeID = genome[0];
@@ -167,6 +172,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
   }
 
   for (let geneID in gene_list) {
+    console.log("inside for geneID in gene_list geneID: " + geneID)
     let gene = gene_list[geneID];
     let [ntStart, ntStop] = getRenderNTRange(genomeID);
     if (gene.start < ntStart) continue;

From 82bdf600c35cd1667f5da30dc6f9694aaa87c850 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 27 Apr 2023 18:20:09 -0500
Subject: [PATCH 0890/1020] more

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 46d7b922a2..8773460b70 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -69,7 +69,11 @@ GenomeDrawer.prototype.addLayers = function (genomeIndex, orderIndex) {
 
   this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
     console.log("groupLayerOrder index "+ idx)
+    console.log(layer)
+    console.log($('#Genome-show'))
+    console.log($('#Genome-show').is(':checked'))
     if (layer == 'Genome' && $('#Genome-show').is(':checked')) {
+      console.log("check for adding a genome passed=====\n======")
       this.addGenome(orderIndex, dataLayerHeight, layerPos, genomeIndex)
       layerPos += dataLayerHeight + groupLayerPadding
       console.log("genome added successfully")

From 54064b062360562c1576d4e74ff12c53ca9f964b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 27 Apr 2023 18:23:59 -0500
Subject: [PATCH 0891/1020] test ADL

---
 anvio/data/interactive/js/genomeview/drawer.js | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 8773460b70..240bd08963 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -288,6 +288,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
  *  Process to generate numerical ADL for genome groups (ie Coverage, GC Content )
  */
 GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor, layerHeight, orderIndex, genomeIndex) {
+  console.log("inside buildNumericalDataLayer for layer " + layer + " and layerPos " + layerPos)
   // TODO this will need to be refactored once we begin testing genomes comprised of multiple contigs
   let contigObj = Object.values(additionalDataLayers)[0]
   let contigArr = Object.values(contigObj)[0]
@@ -312,6 +313,8 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
   for (let i = 0; i < contigArr.length; i++) {
     contigArr[i] > maxDataLayerValue ? maxDataLayerValue = contigArr[i] : null
   }
+  console.log("contigArr is")
+  console.log(contigArr)
 
   let nGroups = 20
   let j = 0
@@ -347,7 +350,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
   }
   layer_end_final_coordinates = `L ${final_l} ${layerHeight} L ${startingLeft} ${layerHeight} z`
   globalPathDirective.push(layer_end_final_coordinates)
-
+console.log("completed path")
   let shadedObj = new fabric.Path(globalPathDirective.join(' '))
   shadedObj.set({
     top: startingTop,
@@ -361,7 +364,9 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
     genome: genomeID
   })
   canvas.bringToFront(shadedObj)
+  console.log("added path")
   this.addBackgroundShade(startingTop, startingLeft, genomeMax[genomeID]*scaleFactor, layerHeight, orderIndex, genomeIndex)
+  console.log("buildNumericalDataLayer fn complete")
 }
 
 /*

From 6127edf943ee669bd4453661fff319898d08dfce Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 28 Apr 2023 00:05:07 -0500
Subject: [PATCH 0892/1020] clean

---
 .../data/interactive/js/genomeview/drawer.js  | 24 +++----------------
 1 file changed, 3 insertions(+), 21 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 240bd08963..ad3fdf4926 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -30,10 +30,9 @@ GenomeDrawer.prototype.draw = function () {
   canvas.clear()
   canvas.setHeight(calculateMainCanvasHeight()) // set canvas height dynamically
   labelCanvas.setHeight(calculateMainCanvasHeight());
-console.log("canvas height set")
+
   let orderIndex = 0
   this.settings['genomeData']['genomes'].map((genome, idx) => {
-    console.log("inside addLayers loop iteration: " + idx)
     if($('#' + genome[0] + '-show').is(':checked')) {
       this.addLayers(idx, orderIndex)
       orderIndex++
@@ -54,7 +53,6 @@ console.log("canvas height set")
  *  For each genome group, iterate additional all layers and render where appropriate
  */
 GenomeDrawer.prototype.addLayers = function (genomeIndex, orderIndex) {
-  console.log("inside addLayers orderIndex" + orderIndex)
   let [dataLayerHeight, rulerHeight] = [this.calculateLayerSizes()[0], this.calculateLayerSizes()[1]]
 
   yOffset = orderIndex * spacing + (orderIndex * maxGroupSize * groupLayerPadding);
@@ -68,33 +66,24 @@ GenomeDrawer.prototype.addLayers = function (genomeIndex, orderIndex) {
   let ptInterval = Math.floor(globalGenomeMax / settings['display']['adlPtsPerLayer']);
 
   this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
-    console.log("groupLayerOrder index "+ idx)
-    console.log(layer)
-    console.log($('#Genome-show'))
-    console.log($('#Genome-show').is(':checked'))
     if (layer == 'Genome' && $('#Genome-show').is(':checked')) {
-      console.log("check for adding a genome passed=====\n======")
       this.addGenome(orderIndex, dataLayerHeight, layerPos, genomeIndex)
       layerPos += dataLayerHeight + groupLayerPadding
-      console.log("genome added successfully")
     }
     if (layer == 'Coverage' && this.settings['additional-data-layers']['layers'].includes('Coverage') && $('#Coverage-show').is(':checked')) {
       this.buildNumericalDataLayer('Coverage', layerPos, genomeID, additionalDataLayers, ptInterval, 'blue', dataLayerHeight, orderIndex, genomeIndex)
       layerPos += dataLayerHeight + groupLayerPadding
-      console.log("coverage added successfully")
     }
     if (layer == 'GC_Content' && this.settings['additional-data-layers']['layers'].includes('GC_content') && $('#GC_Content-show').is(':checked')) {
       this.buildNumericalDataLayer('GC_content', layerPos, genomeID, additionalDataLayers, ptInterval, 'purple', dataLayerHeight, orderIndex, genomeIndex)
       layerPos += dataLayerHeight + groupLayerPadding
-      console.log("GC Content added successfully")
     }
     if (layer == 'Ruler' && this.settings['additional-data-layers']['layers'].includes('ruler') && $('#Ruler-show').is(':checked')) {
       this.buildGroupRulerLayer(genomeID, layerPos, rulerHeight, orderIndex)
       layerPos += rulerHeight + groupLayerPadding
-      console.log("Ruler added successfully")
     }
   })
-console.log("groupLayer loop done")
+
   canvas.remove(canvas.getObjects().find(obj => obj.id == 'groupBorder' + genomeIndex));
   this.addGroupBorder(yOffset, orderIndex)
 }
@@ -141,7 +130,6 @@ GenomeDrawer.prototype.calculateLayerSizes = function () {
 }
 
 GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos, genomeIndex) {
-  console.log("addGenome function")
   let genome = this.settings['genomeData']['genomes'][genomeIndex];
   let gene_list = genome[1].genes.gene_calls;
   let genomeID = genome[0];
@@ -176,7 +164,6 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
   }
 
   for (let geneID in gene_list) {
-    console.log("inside for geneID in gene_list geneID: " + geneID)
     let gene = gene_list[geneID];
     let [ntStart, ntStop] = getRenderNTRange(genomeID);
     if (gene.start < ntStart) continue;
@@ -288,7 +275,6 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
  *  Process to generate numerical ADL for genome groups (ie Coverage, GC Content )
  */
 GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, genomeID, additionalDataLayers, ptInterval, defaultColor, layerHeight, orderIndex, genomeIndex) {
-  console.log("inside buildNumericalDataLayer for layer " + layer + " and layerPos " + layerPos)
   // TODO this will need to be refactored once we begin testing genomes comprised of multiple contigs
   let contigObj = Object.values(additionalDataLayers)[0]
   let contigArr = Object.values(contigObj)[0]
@@ -313,8 +299,6 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
   for (let i = 0; i < contigArr.length; i++) {
     contigArr[i] > maxDataLayerValue ? maxDataLayerValue = contigArr[i] : null
   }
-  console.log("contigArr is")
-  console.log(contigArr)
 
   let nGroups = 20
   let j = 0
@@ -350,7 +334,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
   }
   layer_end_final_coordinates = `L ${final_l} ${layerHeight} L ${startingLeft} ${layerHeight} z`
   globalPathDirective.push(layer_end_final_coordinates)
-console.log("completed path")
+
   let shadedObj = new fabric.Path(globalPathDirective.join(' '))
   shadedObj.set({
     top: startingTop,
@@ -364,9 +348,7 @@ console.log("completed path")
     genome: genomeID
   })
   canvas.bringToFront(shadedObj)
-  console.log("added path")
   this.addBackgroundShade(startingTop, startingLeft, genomeMax[genomeID]*scaleFactor, layerHeight, orderIndex, genomeIndex)
-  console.log("buildNumericalDataLayer fn complete")
 }
 
 /*

From 35241ad7a77fe17979bec836a386170a472fc0dc Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 28 Apr 2023 01:15:32 -0500
Subject: [PATCH 0893/1020] ensure # points graphed on ADLs  <= genome length

this fixes a bug that causes an infinite loop when trying to visualize ADLs of short genomes that crashes the interface without any console error messages
---
 anvio/data/interactive/js/genomeview/drawer.js | 7 ++++++-
 anvio/data/interactive/js/genomeview/main.js   | 8 ++++----
 anvio/data/interactive/js/genomeview/utils.js  | 1 +
 3 files changed, 11 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index ad3fdf4926..f667c804d4 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -63,7 +63,7 @@ GenomeDrawer.prototype.addLayers = function (genomeIndex, orderIndex) {
 
   let additionalDataLayers = this.settings['additional-data-layers']['data'][genomeID]
 
-  let ptInterval = Math.floor(globalGenomeMax / settings['display']['adlPtsPerLayer']);
+  let ptInterval = globalGenomeMax > settings['display']['adlPtsPerLayer'] ? Math.floor(globalGenomeMax / settings['display']['adlPtsPerLayer']) : 1;
 
   this.settings['group-layer-order'].map((layer, idx) => {  // render out layers, ordered via group-layer-order array
     if (layer == 'Genome' && $('#Genome-show').is(':checked')) {
@@ -299,6 +299,11 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
   for (let i = 0; i < contigArr.length; i++) {
     contigArr[i] > maxDataLayerValue ? maxDataLayerValue = contigArr[i] : null
   }
+  
+  if(ptInterval == 0) {
+    console.log("error: ptInterval for numerical additional data layer was set to 0. if you are getting this error, ptInterval was likely calculated wrong due to some rounding error (perhaps you are using a short genome), and you should contact the developers.")
+    return;
+  }
 
   let nGroups = 20
   let j = 0
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index a6774c493f..20bbcb2b36 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -33,7 +33,7 @@ var settings = {} // packaged obj sent off to GenomeDrawer
 var xDisps = {};
 var renderWindow = []; 
 var genomeMax = {};
-var globalGenomeMax = 0;
+var globalGenomeMax;
 var yOffset = 0 // y-location for the current additional data layer
 var scaleFactor = 1; // widths of all objects are scaled by this value to zoom in/out
 var maxGroupSize = 2 // used to calculate group height. base of 2 as each group will contain at minimum a genome layer + group ruler.
@@ -491,10 +491,12 @@ function processState(stateName, stateData) {
   }
   $('#thresh_count').val(settings['display']['thresh-count-gene-colors'])
 
+  calculateGenomeLengths()
+  
   if(stateData?.['display']?.hasOwnProperty('adlPtsPerLayer')) {
     settings['display']['adlPtsPerLayer'] = stateData['display']['adlPtsPerLayer']
   } else {
-    settings['display']['adlPtsPerLayer'] = 10000 // number of data points to be subsampled per ADL. TODO: more meaningful default?
+    settings['display']['adlPtsPerLayer'] = Math.min(10000, globalGenomeMax) // number of data points to be subsampled per ADL. TODO: more meaningful default?
   }
   $('#adl_pts_per_layer').val(settings['display']['adlPtsPerLayer'])
   
@@ -556,8 +558,6 @@ function loadAll(loadType) {
     }
   }
 
-  calculateGenomeLengths()
-
   if(loadType == 'init') {
     $('#gene_color_order').append($('<option>', {
       value: 'Source',
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 1974c6d18f..78615b47c7 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -40,6 +40,7 @@ function calculateMainCanvasHeight(){
  *  Save NT length of each genome in `genomeMax` dict, and save length of the largest genome in `globalGenomeMax`.
  */
 function calculateGenomeLengths(){
+  globalGenomeMax = -999999;
   for(genome of genomeData.genomes) {
     let genomeID = genome[0]
     genome = genome[1].genes.gene_calls;

From 7f01ad8d2e30ef8485f0c75d1628fc99b565ee78 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 28 Apr 2023 01:16:55 -0500
Subject: [PATCH 0894/1020] cleanup

---
 anvio/data/interactive/js/genomeview/main.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 20bbcb2b36..4222b360e7 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -56,7 +56,6 @@ var counts; // stores # occurences for each category in the current function typ
 var genomeData;
 
 $(document).ready(function () {
-  console.log("GOT HERE ====================\n\n")
   toastr.options = {
     "closeButton": true,
     "debug": false,

From 1584e19ce84cf9a624863546b71e7269cdafb52b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 28 Apr 2023 02:18:55 -0500
Subject: [PATCH 0895/1020] hook in genome label size to settings & state

---
 anvio/data/interactive/js/genomeview/drawer.js |  6 +++---
 anvio/data/interactive/js/genomeview/main.js   |  4 ++--
 anvio/data/interactive/js/genomeview/ui.js     | 18 +++++++++++-------
 3 files changed, 16 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index f667c804d4..747afd9518 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -752,7 +752,7 @@ GenomeDrawer.prototype.setGenomeMargin = function (newMargin) {
   }
   groupMargin = newMargin;
   this.draw();
-  drawGenomeLabels(); // update label font size
+  drawGenomeLabels(settings['display']['genome-label-size']);
 }
 
 GenomeDrawer.prototype.setScaleInterval = function (newScale) {
@@ -784,8 +784,8 @@ GenomeDrawer.prototype.setGenomeLabelSize = function (newSize) {
     alert(`Invalid value, genome label size must be in range 0-1000.`);
     return;
   }
-  settings['display']['genome-label-size'] = newSize;
-  if (settings['display']['show-genome-labels']) this.draw();
+  drawGenomeLabels(newSize);
+  setLabelCanvas();
 }
 
 GenomeDrawer.prototype.redrawSingleGenome = function (genomeID) {
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 4222b360e7..9cd11dfdca 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -433,7 +433,7 @@ function processState(stateName, stateData) {
   if(stateData?.['display']?.['genome-label-size']) {
     settings['display']['genome-label-size'] = stateData['display']['genome-label-size'];
   } else {
-    settings['display']['genome-label-size'] = 15
+    settings['display']['genome-label-size'] = 30;
   }
   $('#genome_label').val(settings['display']['genome-label-size'])
 
@@ -590,7 +590,7 @@ function loadAll(loadType) {
 
   $('#genome_label_color').css('background-color', settings['display']['colors']['genome-label']);
   $('#genome_label_color').attr('color', settings['display']['colors']['genome-label']);
-  drawGenomeLabels();
+  drawGenomeLabels(settings['display']['genome-label-size']);
 
   let [start, stop] = settings['display']['nt_window'];
   $('#brush_start').val(start);
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 1c9039ccba..75228c23e9 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -363,7 +363,7 @@ function setEventListeners(){
           $(el).css('background-color', '#' + hex);
           $(el).attr('color', '#' + hex);
           if (!bySetColor) $(el).val(hex);
-          drawGenomeLabels();
+          drawGenomeLabels(settings['display']['genome-label-size']);
       }
   }).keyup(function() {
       $(this).colpickSetColor(this.value);
@@ -1148,7 +1148,7 @@ function buildGenomesTable(genomes, order){
     var template = `<tr id=${genomeLabel}>
                   <td><img src="images/drag.gif" class="drag-icon" id=${genomeLabel} /></td>
                   <td> ${genomeLabel} </td>
-                  <td><input type="checkbox" class="genome_selectors" onclick="drawer.draw(); drawGenomeLabels()" id="${genomeLabel}-show"></input></td>
+                  <td><input type="checkbox" class="genome_selectors" onclick="drawer.draw(); drawGenomeLabels(settings['display']['genome-label-size'])" id="${genomeLabel}-show"></input></td>
                   </tr>;`
 
     $('#tbody_genomes').append(template);
@@ -1158,7 +1158,7 @@ function buildGenomesTable(genomes, order){
 
   $("#tbody_genomes").on("sortupdate", (event, ui) => {
     changeGenomeOrder($("#tbody_genomes").sortable('toArray'))
-    drawGenomeLabels() // update label order
+    drawGenomeLabels(settings['display']['genome-label-size']) // update label order
   })
 }
 
@@ -1228,11 +1228,11 @@ function toggleAdditionalDataLayer(e){
     maxGroupSize -= 1 // decrease group height if hiding the layer
   }
   drawer.draw()
-  drawGenomeLabels()
+  drawGenomeLabels(settings['display']['genome-label-size'])
 }
 
 function setLabelCanvas() {
-  labelCanvasWidth = $('#rotate_genome_labels_box').prop("checked") ? spacing * 7/20 : spacing * 1.25;
+  labelCanvasWidth = $('#rotate_genome_labels_box').prop("checked") ? settings['display']['genome-label-size'] * 7/3 : settings['display']['genome-label-size'] * 25/3;
   if(settings['display']['show-genome-labels']) {
     labelCanvas.setWidth(labelCanvasWidth);
     canvas.setWidth((VIEWER_WIDTH * 0.90) - labelCanvasWidth);
@@ -1603,7 +1603,11 @@ function showAllHiddenGenes(){
   drawer.draw()
 }
 
-function drawGenomeLabels() {
+function drawGenomeLabels(fontsize=null) {
+  if(!fontsize) fontsize = spacing * 3/20;
+  $('#genome_label').val(fontsize);
+  settings['display']['genome-label-size'] = fontsize;
+
   labelCanvas.clear();
 
   let genomes = ($('.genome_selectors:checked').length > 0) 
@@ -1616,7 +1620,7 @@ function drawGenomeLabels() {
       angle: $('#rotate_genome_labels_box').prop("checked") ? 270 : 0,
       top: marginTop + genomeHeight + i*(groupMargin+genomeHeight),
       fill: $('#genome_label_color').attr('color'),
-      fontSize: spacing * 3/20,
+      fontSize: fontsize,
       fontFamily: 'sans-serif',
       selectable: false,
       hoverCursor: 'default'

From f837eee28f239cefc5f5aa44b3e6d920153f31d8 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 28 Apr 2023 02:21:29 -0500
Subject: [PATCH 0896/1020] more sensible genome label size range

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 747afd9518..d71c1e713e 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -780,8 +780,8 @@ GenomeDrawer.prototype.setGeneLabelSize = function (newSize) {
 GenomeDrawer.prototype.setGenomeLabelSize = function (newSize) {
   if (isNaN(newSize)) return;
   newSize = parseInt(newSize);
-  if (newSize < 0 || newSize > 1000) {
-    alert(`Invalid value, genome label size must be in range 0-1000.`);
+  if (newSize < 0 || newSize > 100) {
+    alert(`Invalid value, genome label size must be in range 0-100.`);
     return;
   }
   drawGenomeLabels(newSize);

From 48917ce2c8151dfe5bf17e490ae43b6ee9780837 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 28 Apr 2023 19:02:51 -0500
Subject: [PATCH 0897/1020] fix groupBorder sizes

---
 anvio/data/interactive/js/genomeview/drawer.js | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index d71c1e713e..ba0e00282a 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -85,18 +85,19 @@ GenomeDrawer.prototype.addLayers = function (genomeIndex, orderIndex) {
   })
 
   canvas.remove(canvas.getObjects().find(obj => obj.id == 'groupBorder' + genomeIndex));
-  this.addGroupBorder(yOffset, orderIndex)
+  this.addGroupBorder(yOffset, orderIndex, genomeIndex)
 }
 
 /*
  *  add a stylish and visually significant border around each group
  */
-GenomeDrawer.prototype.addGroupBorder = function (yOffset, orderIndex) {
+GenomeDrawer.prototype.addGroupBorder = function (yOffset, orderIndex, genomeIndex) {
 
   if(maxGroupSize == 1) return;
 
   let top = yOffset + marginTop - 10 + (orderIndex * groupMargin)
   let left = -20
+  let genomeID = this.settings['genomeData']['genomes'][genomeIndex][0]
   let width = genomeMax[genomeID]*scaleFactor + 50
   let height = spacing + 50
 

From 62b17481c8af163aa5ba15e121323170febfc958 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 28 Apr 2023 19:10:37 -0500
Subject: [PATCH 0898/1020] total select fix

---
 anvio/data/interactive/js/genomeview/ui.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 75228c23e9..241f65b50f 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -753,7 +753,7 @@ function showTabularModal(){
 
   handleTotalSelect = () => {
     let curr_genome = $('.active')[1].id;
-    $(`.${curr_genome}-input`).prop('checked', $('#total-select').prop('checked'));
+    $(`.${curr_genome}-input`).prop('checked', $(`#${curr_genome}-total-select`).prop('checked'));
   }
 
   $('#tabular-modal-annotation-checkboxes').empty()
@@ -788,7 +788,7 @@ function showTabularModal(){
         <table id="${genome}-table"class="table table-striped" style="width: 100%; text-align: left; font-size: 12px; background: white">
           <thead id='tabular-modal-table-head'>
             <tr id='${genome}-tabular-modal-table-header-tr'>
-              <th id="${genome}-select"><input class="form-check-input" type='checkbox' id='total-select' onclick="handleTotalSelect()"></input>Select</th>
+              <th id="${genome}-select"><input class="form-check-input" type='checkbox' id='${genome}-total-select' onclick="handleTotalSelect()"></input>Select</th>
               <th>Gene Caller ID</th>
               <th>Start</th>
               <th>Stop</th>

From bb985a9af277cff03532aea35e3418cc6ed0c303 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 28 Apr 2023 19:17:09 -0500
Subject: [PATCH 0899/1020] query/remove tag buttons are classes not ids

so we can query/remove tags for multiple tags per gene
---
 anvio/data/interactive/js/genomeview/ui.js | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 241f65b50f..ee3b87fc36 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -404,8 +404,8 @@ function showDeepDiveToolTip(event){
   let totalMetadataString = String()
   let totalAnnotationsString = String()
   let metadataLabel = String()
-  let queryBtn = `<button type='button' id='metadata-query' class='btn btn-default btn-sm'>Query sequence for matches</button>`
-  let removeBtn = `<button type='button' id='metadata-remove' class='btn btn-default btn-sm'>Remove metadata item</button>`
+  let queryBtn = `<button type='button' class='btn btn-default btn-sm metadata-query'>Query sequence for matches</button>`
+  let removeBtn = `<button type='button' class='btn btn-default btn-sm metadata-remove'>Remove metadata item</button>`
 
   if(settings['display']?.['metadata']){
     let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID )
@@ -516,11 +516,11 @@ function showDeepDiveToolTip(event){
   </table>;
   `)
 
-  $('#metadata-query').on('click', function(){
+  $('.metadata-query').on('click', function(){
     drawer.queryMetadata(metadataLabel)
   })
 
-  $('#metadata-remove').on('click', function(){
+  $('.metadata-remove').on('click', function(){
     let gene = event.target.geneID
     let genome = event.target.genomeID
     let label = $(this).parent().siblings('td').first().html()
@@ -876,8 +876,8 @@ function showTabularModal(){
 }
 
 function addMetadataTag(genomeID, geneID, label) {
-  let queryBtn = `<button type='button' id='metadata-query' class='btn btn-default btn-sm'>Query sequence for matches</button>`
-  let removeBtn = `<button type='button' id='metadata-remove' class='btn btn-default btn-sm'>Remove metadata item</button>`
+  let queryBtn = `<button type='button' class='btn btn-default btn-sm metadata-query'>Query sequence for matches</button>`
+  let removeBtn = `<button type='button' class='btn btn-default btn-sm metadata-remove'>Remove metadata item</button>`
 
   let metadataObj = {
     label  : label,
@@ -895,11 +895,11 @@ function addMetadataTag(genomeID, geneID, label) {
       <td>${removeBtn}</td>
     </tr>
   `)
-  $('#metadata-query').on('click', function(){ // re-trigger listener for new DOM buttons
+  $('.metadata-query').on('click', function(){ // re-trigger listener for new DOM buttons
     drawer.queryMetadata(label)
   })
 
-  $('#metadata-remove').on('click', function(){      
+  $('.metadata-remove').on('click', function(){      
     let label = $(this).parent().siblings('td').first().html()
     let index = settings['display']['metadata'].findIndex(m => m.label == label && m.gene == geneID && m.genome == genomeID)
 

From 83868b6294010295b3da0fd70a5f2201d2650c81 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 29 Apr 2023 02:49:31 -0500
Subject: [PATCH 0900/1020] refactor nt scale movement into new functions

`moveTo` and`moveToAndUpdateScale` to update viewport/scale with new [start,stop]
---
 .../interactive/js/genomeview/navigation.js   | 68 ++++++++++++++-----
 anvio/data/interactive/js/genomeview/ui.js    | 39 ++---------
 2 files changed, 59 insertions(+), 48 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 463d3fdc02..d17dce59a3 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -51,9 +51,7 @@
       }
     }
 
-    brush.extent([newStart, newEnd]);
-    brush(d3.select(".brush").transition());
-    brush.event(d3.select(".brush").transition());
+    moveToAndUpdateScale(newStart, newEnd);
   }
 
   function zoomOut(type, start, end) {
@@ -79,16 +77,14 @@
       if(newStart == 0 && newEnd == genoglobalGenomeMaxmeMax) { // for extra-zoomed-out view
         scaleFactor = 0.01;
         if(settings['display']['dynamic-scale-interval']) adjustScaleInterval();
-      drawer.draw()
+        drawer.draw()
         return;
       }
     }
     if(newStart < 0) newStart = 0;
     newEnd = clamp(newEnd, 0, percentScale ? 1 : globalGenomeMax);
 
-    brush.extent([newStart, newEnd]);
-    brush(d3.select(".brush").transition());
-    brush.event(d3.select(".brush").transition());
+    moveToAndUpdateScale(newStart, newEnd);
   }
 
   async function zoomOutAndWait(type, start, end, time) {
@@ -180,22 +176,62 @@ function drawScale() {
       $('#brush_start').val(b[0]);
       $('#brush_end').val(b[1]);
 
-      let ntsToShow = b[1] - b[0];
-      // NOTE: there is a bug in the following line for percent scale where the scaleFactor is not calculated correctly and as a result the viewport window is incorrect.
-      // Need to determine the number of nucleotides that correspond to a given proportional range (e.g. [0.1, 0.234]) after sliding a genome 
-      scaleFactor = percentScale ? canvas.getWidth()/(ntsToShow*(calcXBounds()[1]-calcXBounds()[0])/scaleFactor) : canvas.getWidth()/ntsToShow;
-      updateRenderWindow();
+      moveTo(b[0], b[1]);
 
-      if(settings['display']['dynamic-scale-interval']) drawer.adjustScaleInterval();
+      // let ntsToShow = b[1] - b[0];
+      // // NOTE: there is a bug in the following line for percent scale where the scaleFactor is not calculated correctly and as a result the viewport window is incorrect.
+      // // Need to determine the number of nucleotides that correspond to a given proportional range (e.g. [0.1, 0.234]) after sliding a genome 
+      // scaleFactor = percentScale ? canvas.getWidth()/(ntsToShow*(calcXBounds()[1]-calcXBounds()[0])/scaleFactor) : canvas.getWidth()/ntsToShow;
+      // updateRenderWindow();
 
-      drawer.draw()
-      let moveToX = percentScale ? getVPTForFrac()[0] : scaleFactor*b[0];
-      canvas.absolutePan({x: moveToX, y: 0});
+      // if(settings['display']['dynamic-scale-interval']) drawer.adjustScaleInterval();
+
+      // drawer.draw()
+      // let moveToX = percentScale ? getVPTForFrac()[0] : scaleFactor*b[0];
+      // canvas.absolutePan({x: moveToX, y: 0});
 
       // TODO: restrict min view to 300 NTs? (or e.g. scaleFactor <= 4)
   }
 }
 
+/*
+ *  Pan viewport to new [start, stop] location and update scale UI. Setting transition=false creates a choppier but faster animation.
+ */
+function moveToAndUpdateScale(start, stop, transition=true) {
+  brush.extent([start, stop]);
+  brush(d3.select(".brush").transition());
+  if(transition) {
+    brush.event(d3.select(".brush").transition()); // triggers onBrush() => triggers moveTo()
+  } else {
+    brush.event(d3.select(".brush"));
+  }
+}
+
+/*
+ *  Pan viewport to new [start, stop] location.
+ */
+function moveTo(start, stop) {
+  // if genome sliding is activated, set x-displacement for currently selected genome
+  // let pad = 0;
+  // if(percentScale) {
+  //   let selected_genome = "REPLACE_WITH_CURRENTLY_SELECTED_GENOME_ID"; // TEMPORARY - REPLACE 
+  //   pad = xDisps[selected_genome];
+  // }
+
+  // zoom + pan viewport to new location
+  let ntsToShow = stop - start;
+  scaleFactor = canvas.getWidth() / ntsToShow;
+  let moveToX = scaleFactor * start;
+  canvas.absolutePan({x: moveToX, y: 0});
+
+  // update rulers based on new zoom
+  if(settings['display']['dynamic-scale-interval']) drawer.adjustScaleInterval();
+  
+  // render newly selected nt range
+  updateRenderWindow();
+  drawer.draw();
+}
+
 /*
  *  Update scale info to match viewport location.
  */
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index ee3b87fc36..01a1b72aac 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -120,11 +120,7 @@ function setCanvasListeners(){
     if(percentScale && newEnd - newStart < 0.02) return;
     if(!percentScale && newEnd - newStart < 50) return;
 
-    brush.extent([newStart, newEnd]);
-    brush(d3.select(".brush").transition()); // if zoom is slow or choppy, try removing .transition()
-    brush.event(d3.select(".brush"));
-    $('#brush_start').val(newStart);
-    $('#brush_end').val(newEnd);
+    moveToAndUpdateScale(newStart, newEnd, transition=false);
   });
   canvas.on('mouse:over', function(event) {
     // if(event.target.class == 'ruler'){
@@ -191,26 +187,14 @@ function setEventListeners(){
     if (ev.which == 37 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // Left Arrow = 37
       let [start, stop] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
       if(start - 1000 < 0) return;
-      $('#brush_start').val(start - 1000);
-      $('#brush_end').val(stop - 1000);
-      brush.extent([start-1000, stop-1000]);
-      brush(d3.select(".brush").transition());
-      brush.event(d3.select(".brush").transition());
-      updateRenderWindow();
-      drawer.draw();
+      moveToAndUpdateScale(start - 1000, stop - 1000, transition=false);
     }
   });
   document.body.addEventListener("keydown", function (ev) {
     if (ev.which == 39 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // Right Arrow = 39
       let [start, stop] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
       if(stop + 1000 > globalGenomeMax) return;
-      $('#brush_start').val(start + 1000);
-      $('#brush_end').val(stop + 1000);
-      brush.extent([start+1000, stop+1000]);
-      brush(d3.select(".brush").transition());
-      brush.event(d3.select(".brush").transition());
-      updateRenderWindow();
-      drawer.draw();
+      moveToAndUpdateScale(start + 1000, stop + 1000, transition=false);
     }
   });
   document.body.addEventListener("keydown", function (ev) {
@@ -337,9 +321,8 @@ function setEventListeners(){
         return;
       }
 
-      brush.extent([start, end]);
-      brush(d3.select(".brush").transition());
-      brush.event(d3.select(".brush").transition());
+      moveToAndUpdateScale(start, end);
+      $('#brush_start, #brush_end').blur();
     }
   });
   $('#batch_colorpicker').colpick({
@@ -1241,11 +1224,7 @@ function setLabelCanvas() {
     canvas.setWidth(VIEWER_WIDTH * 0.90);
   }
   if(!firstDraw) {
-    let ntsToShow = $('#brush_end').val() - $('#brush_start').val();
-    scaleFactor = percentScale ? canvas.getWidth()/(ntsToShow*(calcXBounds()[1]-calcXBounds()[0])/scaleFactor) : canvas.getWidth()/ntsToShow;
-    drawer.draw();
-    let moveToX = percentScale ? getVPTForFrac()[0] : scaleFactor*$('#brush_start').val();
-    canvas.absolutePan({x: moveToX, y: 0});
+    moveTo($('#brush_start').val(), $('#brush_end').val()); // reset scaleFactor to new canvas width and redraw
   }
 }
 
@@ -1309,12 +1288,8 @@ function respondToBookmarkSelect(){
   $('#bookmarks-select').change(function(e){
     let [start, stop] = [$(this).val().split(',')[0], $(this).val().split(',')[1] ]
     if(!stop)return // edge case for empty 'Bookmarks' placeholder select value
-    $('#brush_start').val(start);
-    $('#brush_end').val(stop);
     try {
-      brush.extent([start, stop]);
-      brush(d3.select(".brush").transition());
-      brush.event(d3.select(".brush").transition());
+      moveToAndUpdateScale(start, stop);
       let selectedBookmark = settings['display']['bookmarks'].find(bookmark => bookmark.start == start && bookmark.stop == stop)
       $('#bookmark-description').text(selectedBookmark['description'])
       toastr.success("Bookmark successfully loaded")

From b1f176b6ebb5f7d5fad7fb08a4a69621fcc7bc66 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 30 Apr 2023 00:38:00 -0500
Subject: [PATCH 0901/1020] only show deepdive metadata table header if the
 gene has labels

---
 anvio/data/interactive/js/genomeview/ui.js | 24 +++++++++++++++++++++-
 1 file changed, 23 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 01a1b72aac..19f435bf5c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -390,8 +390,11 @@ function showDeepDiveToolTip(event){
   let queryBtn = `<button type='button' class='btn btn-default btn-sm metadata-query'>Query sequence for matches</button>`
   let removeBtn = `<button type='button' class='btn btn-default btn-sm metadata-remove'>Remove metadata item</button>`
 
+  let includeMetadataHeader = false;
   if(settings['display']?.['metadata']){
     let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID )
+    if(geneMetadata.length > 0) includeMetadataHeader = true;
+    
     const createMetadataContent = () => {
       geneMetadata.map(metadata => {
         metadataLabel = metadata.label
@@ -479,7 +482,7 @@ function showDeepDiveToolTip(event){
       <button   id='metadata-gene-description-add' type='button' class="btn btn-default btn-sm">add description</button>
       <br>
       <table class="table table-striped" id="metadata-deepdive-table">
-        <thead><th>metadata</th><th>action</th><th>remove</th></thead>
+        <thead id="metadata-deepdive-header"></thead>
         <tbody id="metadata-body">
          ${totalMetadataString}
         </tbody>
@@ -499,6 +502,8 @@ function showDeepDiveToolTip(event){
   </table>;
   `)
 
+  if(includeMetadataHeader) $('#metadata-deepdive-header').append('<th>metadata</th><th>action</th><th>remove</th>')
+
   $('.metadata-query').on('click', function(){
     drawer.queryMetadata(metadataLabel)
   })
@@ -510,6 +515,11 @@ function showDeepDiveToolTip(event){
     let index = settings['display']['metadata'].findIndex(m => m.label == label && m.gene == gene && m.genome == genome)
 
     settings['display']['metadata'].splice(index, 1)
+
+    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID)
+    if(geneMetadata.length == 0) {
+      $('#metadata-deepdive-header').empty();
+    }
     
     $(this).closest('tr').remove();
   })
@@ -549,6 +559,10 @@ function showDeepDiveToolTip(event){
   })
   // TODO consider metadata option to include 'author' field
   $('#metadata-gene-label-add').on('click', function(){
+    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID)
+    if(geneMetadata.length == 0) {
+      $('#metadata-deepdive-header').append('<th>metadata</th><th>action</th><th>remove</th>')
+    }
     addMetadataTag(event.target.genomeID, event.target.geneID, $('#metadata-gene-label').val());
   })
   $('#picker_tooltip').colpick({
@@ -878,6 +892,9 @@ function addMetadataTag(genomeID, geneID, label) {
       <td>${removeBtn}</td>
     </tr>
   `)
+
+  $('.metadata-remove, .metadata-query').unbind('click')
+
   $('.metadata-query').on('click', function(){ // re-trigger listener for new DOM buttons
     drawer.queryMetadata(label)
   })
@@ -887,6 +904,11 @@ function addMetadataTag(genomeID, geneID, label) {
     let index = settings['display']['metadata'].findIndex(m => m.label == label && m.gene == geneID && m.genome == genomeID)
 
     settings['display']['metadata'].splice(index, 1)
+
+    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == genomeID && metadata.gene == geneID)
+    if(geneMetadata.length == 0) {
+      $('#metadata-deepdive-header').empty();
+    }
     
     $(this).closest('tr').remove();
   })

From 135294b2bb91a75c59c4c9b3e3a96835614572c7 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 30 Apr 2023 00:48:03 -0500
Subject: [PATCH 0902/1020] don't show deepdive annotations header if no
 annotations

---
 anvio/data/interactive/js/genomeview/ui.js | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 19f435bf5c..d5abb5d1a4 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -491,7 +491,7 @@ function showDeepDiveToolTip(event){
 
   <h2>Annotations</h2>;
   <table class="table table-striped">;
-    <thead>
+    <thead id="annotations-deepdive-header">
       <th>Source</th>;
       <th>Accession</th>;
       <th>Annotation</th>
@@ -502,6 +502,10 @@ function showDeepDiveToolTip(event){
   </table>;
   `)
 
+  if(!event.target.functions){
+    $('#annotations-deepdive-header').empty()
+  }
+
   if(includeMetadataHeader) $('#metadata-deepdive-header').append('<th>metadata</th><th>action</th><th>remove</th>')
 
   $('.metadata-query').on('click', function(){

From e211408f01c698df614d019dbcfe1789bb1e2138 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 30 Apr 2023 00:49:26 -0500
Subject: [PATCH 0903/1020] deepdive cleanup

---
 anvio/data/interactive/js/genomeview/ui.js | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index d5abb5d1a4..0b9f99c282 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -469,11 +469,11 @@ function showDeepDiveToolTip(event){
   <button id='gene-visibility-range-set' class="btn btn-default btn-sm" >Set Visible Range</button>
   <br>
 
-  <h2>color</h2>
+  <h2>Color</h2>
   <div id="picker_tooltip" class="colorpicker" color="${event.target.fill}" background-color="${event.target.fill}" style="background-color: ${event.target.fill}; margin-right:16px; margin-left:16px"></div>
   <p>set gene arrow color</p>
   <br>
-  <h2>metadata</h2>
+  <h2>Metadata</h2>
   <div id='metadata-container'>
       <input    id='metadata-gene-label' type='text' placeholder='metadata tag'>
       <button   id='metadata-gene-label-add' type='button' class="btn btn-default btn-sm">add tag</button>
@@ -489,17 +489,17 @@ function showDeepDiveToolTip(event){
       </table>
   </div>
 
-  <h2>Annotations</h2>;
-  <table class="table table-striped">;
+  <h2>Annotations</h2>
+  <table class="table table-striped">
     <thead id="annotations-deepdive-header">
       <th>Source</th>;
-      <th>Accession</th>;
+      <th>Accession</th>
       <th>Annotation</th>
-    </thead>;
-    <tbody>;
+    </thead>
+    <tbody>
       ${totalAnnotationsString}
     </tbody>
-  </table>;
+  </table>
   `)
 
   if(!event.target.functions){

From a3c8f6c1ee8853888d53f6c69745153a4cc38c31 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 30 Apr 2023 22:42:50 -0500
Subject: [PATCH 0904/1020] deepdive cosmetics

---
 anvio/data/interactive/js/genomeview/ui.js | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 0b9f99c282..8b7cfe373e 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -471,15 +471,15 @@ function showDeepDiveToolTip(event){
 
   <h2>Color</h2>
   <div id="picker_tooltip" class="colorpicker" color="${event.target.fill}" background-color="${event.target.fill}" style="background-color: ${event.target.fill}; margin-right:16px; margin-left:16px"></div>
-  <p>set gene arrow color</p>
+  <p>Set gene arrow color</p>
   <br>
   <h2>Metadata</h2>
   <div id='metadata-container'>
-      <input    id='metadata-gene-label' type='text' placeholder='metadata tag'>
-      <button   id='metadata-gene-label-add' type='button' class="btn btn-default btn-sm">add tag</button>
+      <input    id='metadata-gene-label' type='text' placeholder='Metadata tag'>
+      <button   id='metadata-gene-label-add' type='button' class="btn btn-default btn-sm">Add tag</button>
       <br>
-      <textarea id='metadata-gene-description' placeholder='metadata description'></textarea>
-      <button   id='metadata-gene-description-add' type='button' class="btn btn-default btn-sm">add description</button>
+      <textarea id='metadata-gene-description' placeholder='Metadata description'></textarea>
+      <button   id='metadata-gene-description-add' type='button' class="btn btn-default btn-sm">Add description</button>
       <br>
       <table class="table table-striped" id="metadata-deepdive-table">
         <thead id="metadata-deepdive-header"></thead>

From b7a8e91fbf372c432568b92a9fb9e7921a4f9112 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 30 Apr 2023 22:46:08 -0500
Subject: [PATCH 0905/1020] remove settings UI for incomplete features

---
 anvio/data/interactive/genomeview.html     | 38 ----------------------
 anvio/data/interactive/js/genomeview/ui.js | 24 +++++++-------
 2 files changed, 12 insertions(+), 50 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index df7e4985de..84b4f6a0b6 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -185,23 +185,6 @@ <h4 class="modal-title">Lasso</h4>
             <td>Genome margin:</td>
             <td><input type="text" class="form-control input-sm" id="genome_margin" value="100"></td>
           </tr>
-          <tr>
-            <td>Plot scale:</td>
-            <td><input type="text" class="form-control input-sm" id="plot_scale" value="(TODO)"></td>
-          </tr>
-          <tr>
-            <td>Align to Gene Cluster: </td>
-            <td><input id="alignClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
-          </tr>
-          <tr>
-            <td>Pan to Gene Cluster: </td>
-            <td><input id="panClusterInput" class="form-control input-sm" type="text" value="" size="4"></td>
-          </tr>
-          <tr>
-            <td>Order Method: </td>
-            <td><select class="type_multiple" id='genome_order_select' style="width: 100px;" class="type"></select>
-            </td>
-          </tr>
         </tbody>
       </table>
 
@@ -382,27 +365,6 @@ <h4 class="modal-title">Lasso</h4>
         <button type="button" class="btn btn-primary btn-xs" onclick="resetFunctionColors()"
           class="btn btn-outline-primary">Reset Function colors</button>
 
-        <span class="settings-header">Gene links</span>
-        <div class="form-group form-margin" style="margin-top: 10px; color: #000000">
-          <label id="link_style_label" style="padding-left: 0px;" class="col-md-4 settings-label" data-help="link_style"
-            data-original-title="" title="">Link style:</label>
-          <div class="col-md-8">
-            <select id="link_style" style="margin-bottom: 10px" class="form-control input-xs">
-              <option value=1>Straight</option>
-              <option value=2>Curved</option>
-              <option value=3>Line</option>
-              <option value=4>None</option>
-            </select>
-          </div>
-        </div>
-        <select id="shade_by" style="margin-bottom: 10px" class="form-control input-xs">
-          <option value=1>Gene Cluster</option>
-          <option value=2>COG Category</option>
-          <option value=3>KEGG Category</option>
-          <option value=4>Custom</option>
-        </select>
-        <p>TODO: Color table for shades (with opacity option too?)</p>
-
         <span class="settings-header">Labels</span>
         <table id="labels-table" style="margin-bottom: 180px;">
           <tbody>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 8b7cfe373e..68765745d2 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -156,18 +156,18 @@ function setCanvasListeners(){
  *  set event listeners for DOM elements, user input, default jquery values (this should only be called once)
  */
 function setEventListeners(){
-  $('#alignClusterInput').on('keydown', function (e) {
-    if (e.keyCode == 13) { // 13 = enter key
-      drawer.alignToCluster($(this).val());
-      $(this).blur();
-    }
-  });
-  $('#panClusterInput').on('keydown', function (e) {
-    if (e.keyCode == 13) { // 13 = enter key
-      viewCluster($(this).val());
-      $(this).blur();
-    }
-  });
+  // $('#alignClusterInput').on('keydown', function (e) {
+  //   if (e.keyCode == 13) { // 13 = enter key
+  //     drawer.alignToCluster($(this).val());
+  //     $(this).blur();
+  //   }
+  // });
+  // $('#panClusterInput').on('keydown', function (e) {
+  //   if (e.keyCode == 13) { // 13 = enter key
+  //     viewCluster($(this).val());
+  //     $(this).blur();
+  //   }
+  // });
   document.body.addEventListener("keydown", function (ev) {
     if (ev.which == 83 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // S = 83
       toggleRightPanel('#settings-panel')

From 8fbfae365597cf95727e5dcc35beab674230862d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 30 Apr 2023 22:47:20 -0500
Subject: [PATCH 0906/1020] comment out align rulers button

---
 anvio/data/interactive/genomeview.html | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 84b4f6a0b6..1a3fbdd490 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -246,10 +246,10 @@ <h4 class="modal-title">Lasso</h4>
             <td>Genome scale interval: </td>
             <td><input id="genome_scale_interval" class="form-control input-sm" type="text" value="100" size="4"></td>
           </tr>
-          <tr>
+          <!--<tr>
             <td><button id="alignRulerBtn" type="button" class="btn btn-primary btn-xs" onclick="drawer.alignRulers()"
                 class="btn btn-outline-primary">Align genome rulers</button></td>
-          </tr>
+          </tr>-->
         </tbody>
       </table>
 

From 67bcee15e660794db5cb78715a83d676710875fb Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 30 Apr 2023 23:03:02 -0500
Subject: [PATCH 0907/1020] remove rect style gene arrows, change arrow style
 names, disable gene text pos if style is not pentagon (wide)

---
 anvio/data/interactive/genomeview.html         |  7 +++----
 anvio/data/interactive/js/genomeview/drawer.js | 10 ++--------
 anvio/data/interactive/js/genomeview/main.js   |  1 +
 anvio/data/interactive/js/genomeview/ui.js     |  2 ++
 4 files changed, 8 insertions(+), 12 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 1a3fbdd490..a8c66732a1 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -262,10 +262,9 @@ <h4 class="modal-title">Lasso</h4>
           data-original-title="" title="">Arrow style:</label>
         <div class="col-md-8">
           <select id="arrow_style" style="margin-bottom: 10px" class="form-control input-xs">
-            <option value=1>Default</option>
-            <option value=2>Wide</option>
-            <option value=3>Pentagon</option>
-            <option value=4>Rect</option>
+            <option value=1>Arrows</option>
+            <option value=2>Pentagon</option>
+            <option value=3>Pentagon (Wide)</option>
           </select>
         </div>
       </div>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index ba0e00282a..0f482f1e1a 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -489,7 +489,7 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
 
   var arrowPathStr;
   switch (parseInt(style)) {
-    case 2: // thicker arrows
+    case 2: // pentagon arrows
       arrowPathStr = `M ${stemLength} -10
                       L 0 -10
                       L 0 20
@@ -499,7 +499,7 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
                       L ${length} 5
                       L ${stemLength} -10 z`;
       break;
-    case 3: // pentagon arrows
+    case 3: // pentagon (wide) arrows
       arrowPathStr = `M 0 0
                       L ${stemLength} 0
                       L ${length} 20
@@ -507,12 +507,6 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
                       L 0 40
                       L 0 0 z`;
       break;
-    case 4: // rect arrows
-      arrowPathStr = `M ${length} -5
-                      L 0 -5
-                      L 0 15
-                      L ${length} 15 z`;
-      break;
     default: // 'inspect page' arrows
       arrowPathStr = `M ${stemLength} -2.5
                       L 0 -2.5
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 9cd11dfdca..f4c350783f 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -375,6 +375,7 @@ function processState(stateName, stateData) {
   } else {
     $('#arrow_style').val(1)
   }
+  $('#gene_text_pos').prop("disabled", $('#arrow_style').val() != 3); // disable gene label position dropdown if arrow style is not 'pentagon (wide)'
 
   if (stateData?.['display']?.['bookmarks']) {
     settings['display']['bookmarks'].map(bookmark => {
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 68765745d2..df5f70e52e 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -245,6 +245,8 @@ function setEventListeners(){
   });
   $('#arrow_style').on('change', function () {
     settings['display']['arrow-style'] = parseInt($(this).val());
+    if($(this).val() != 3) $('#gene_text_pos').val('above');
+    $('#gene_text_pos').prop("disabled", $(this).val() != 3);
     drawer.draw()
     $(this).blur();
   });

From d3786cbfdc3dbd9824e2aa9ee768999ca0265853 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 30 Apr 2023 23:15:16 -0500
Subject: [PATCH 0908/1020] Rename gene arrows features for clarity

---
 anvio/data/interactive/genomeview.html       | 4 ++--
 anvio/data/interactive/js/genomeview/main.js | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index a8c66732a1..a77714f0e1 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -290,8 +290,8 @@ <h4 class="modal-title">Lasso</h4>
         </tr>
         <br>
         <tr>
-          <td style="margin-bottom: 10px;">Filter:</td>
-          <td><input type="text" class="form-control input-sm" id="thresh_count" value="4" style="margin-bottom: 10px;">
+          <td style="margin-bottom: 10px;">Filter to functional annotations with frequency n > X: X = </td>
+          <td><input type="text" class="form-control input-sm" id="thresh_count" value="4" size="4" style="margin-bottom: 10px;">
           </td>
         </tr>
       </tbody>
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index f4c350783f..1328d66f2f 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -561,7 +561,7 @@ function loadAll(loadType) {
   if(loadType == 'init') {
     $('#gene_color_order').append($('<option>', {
       value: 'Source',
-      text: 'Source'
+      text: 'Gene caller source'
     }));
     for (fn of getFunctionalAnnotations()) {
       $('#gene_color_order').append($('<option>', {

From e332719fb612ac4c33118162660543a731775c1a Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 30 Apr 2023 23:21:31 -0500
Subject: [PATCH 0909/1020] only show categories in selected nt range, not
 render window

---
 anvio/data/interactive/genomeview.html     | 2 +-
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index a77714f0e1..2592a4c9dc 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -284,7 +284,7 @@ <h4 class="modal-title">Lasso</h4>
         </tr>
         <br>
         <tr>
-          <td style="margin-bottom: 10px;">Only show categories in the current render window:</td>
+          <td style="margin-bottom: 10px;">Only show categories in the selected nucleotide range:</td>
           <td><input type="checkbox" id="show_only_cags_in_window" value="unchecked" style="margin-bottom: 10px;">
           </td>
         </tr>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index df5f70e52e..be61845406 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1392,7 +1392,7 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
       let gene_funs = genome[1].genes.functions;
 
       for(i of Object.keys(gene_calls)) {
-        if(filter_to_window && (gene_calls[i].start < renderWindow[0] || gene_calls[i].stop > renderWindow[1])) continue;
+        if(filter_to_window && (gene_calls[i].stop < parseInt($('#brush_start').val()) || gene_calls[i].start > parseInt($('#brush_end').val()))) continue;
         let cag = getCagForType(gene_funs[i], fn_type);
         counts.push(cag ? cag : "None");
       }

From af7c4818ad4cf97393bd9075bcdc9f09667ac106 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 30 Apr 2023 23:25:28 -0500
Subject: [PATCH 0910/1020] shift+scroll is now required to zoom

---
 anvio/data/interactive/js/genomeview/ui.js | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index be61845406..80573dd5cc 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -105,6 +105,9 @@ function setCanvasListeners(){
     this.prev = opt.target.left;
   });
   canvas.on('mouse:wheel', function (opt) {
+    if (opt.e.shiftKey === false) {
+      return;
+    }
     opt.e.preventDefault();
     opt.e.stopPropagation();
 

From a270b67b7e45169b17477b4af5d09d2d7d90f3a1 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 30 Apr 2023 23:28:58 -0500
Subject: [PATCH 0911/1020] make scale opaque

---
 anvio/data/interactive/css/genomeview.css | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/css/genomeview.css b/anvio/data/interactive/css/genomeview.css
index 50d070c489..a96fde9cc6 100644
--- a/anvio/data/interactive/css/genomeview.css
+++ b/anvio/data/interactive/css/genomeview.css
@@ -260,7 +260,7 @@ a {
     margin: 5px;
     position: fixed;
     bottom: 25px;
-    background-color: rgba(255, 255, 255, 0.8);
+    background-color: rgba(255, 255, 255, 1);
 }
 
 #tabular-modal-body {

From 5e1b7ae2e38a388a42c61d777df7a1600c7d2b9c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 30 Apr 2023 23:40:20 -0500
Subject: [PATCH 0912/1020] settings cosmetics

---
 anvio/data/interactive/genomeview.html | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 2592a4c9dc..4f4d3f7b9c 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -296,7 +296,7 @@ <h4 class="modal-title">Lasso</h4>
         </tr>
       </tbody>
 
-      <div class="ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content-active"
+      <div class="ui-accordion-content ui-helper-reset ui-corner-bottom ui-accordion-content-active"
         id="ui-id-2" aria-labelledby="ui-id-1" role="tabpanel" style="display: block;" aria-hidden="false">Sort: <div
           class="btn-group" role="group">
           <button type="button" class="btn btn-default" onclick="orderColorTable('alphabetical');"><span
@@ -362,7 +362,7 @@ <h4 class="modal-title">Lasso</h4>
           </table>
         </div>
         <button type="button" class="btn btn-primary btn-xs" onclick="resetFunctionColors()"
-          class="btn btn-outline-primary">Reset Function colors</button>
+          class="btn btn-outline-primary" style="margin-top: 10px; margin-bottom: 10px">Reset Function colors</button>
 
         <span class="settings-header">Labels</span>
         <table id="labels-table" style="margin-bottom: 180px;">

From 6af7411b8a35ba1e6f1a4bdc037bfe14a07545d2 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 1 May 2023 00:11:07 -0500
Subject: [PATCH 0913/1020] goto button for bookmarks table

---
 anvio/data/interactive/js/genomeview/ui.js | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 80573dd5cc..29c75eba4c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1277,7 +1277,8 @@ function createBookmark(){
           <tr><th>Bookmark Name</th>
           <th>Start</th>
           <th>Stop</th>
-          <th>Action</th>
+          <th>Remove</th>
+          <th>Go To</th>
           </tr>`
       )
     }
@@ -1286,6 +1287,7 @@ function createBookmark(){
         <td>${bookmark_name}</td>
         <td>${$('#brush_start').val()}</td>
         <td>${$('#brush_end').val()}</td>
+        <td><button onclick="moveToAndUpdateScale(parseInt(${$('#brush_start').val()}), parseInt(${$('#brush_end').val()}))">Go to bookmark</button></td>
         <td><button onclick="removeBookmark('${bookmark_name}')">Remove bookmark</button></td>
       </tr>`
     )

From f6b369b48c6e2fe2f758ab17d8ab32c84291133c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 1 May 2023 00:20:03 -0500
Subject: [PATCH 0914/1020] fix

---
 anvio/data/interactive/js/genomeview/ui.js | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 29c75eba4c..8df0b4a17c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -248,7 +248,10 @@ function setEventListeners(){
   });
   $('#arrow_style').on('change', function () {
     settings['display']['arrow-style'] = parseInt($(this).val());
-    if($(this).val() != 3) $('#gene_text_pos').val('above');
+    if($(this).val() != 3) {
+      $('#gene_text_pos').val('above');
+      settings['display']['gene-text-position'] = 'above';
+    }
     $('#gene_text_pos').prop("disabled", $(this).val() != 3);
     drawer.draw()
     $(this).blur();

From b222ab3ab401a6f20cfd2f80269bc18b814296ab Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 1 May 2023 18:29:20 -0500
Subject: [PATCH 0915/1020] fix

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 8df0b4a17c..0701bd8c92 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1280,8 +1280,8 @@ function createBookmark(){
           <tr><th>Bookmark Name</th>
           <th>Start</th>
           <th>Stop</th>
-          <th>Remove</th>
           <th>Go To</th>
+          <th>Remove</th>
           </tr>`
       )
     }

From 4d79f6db4467ca659b4bc9f64757c21d69068495 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 1 May 2023 18:55:45 -0500
Subject: [PATCH 0916/1020] don't allow empty tags or duplicate tags

---
 anvio/data/interactive/js/genomeview/ui.js | 21 +++++++++++++++------
 1 file changed, 15 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 0701bd8c92..b43cced0f9 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -571,11 +571,12 @@ function showDeepDiveToolTip(event){
   })
   // TODO consider metadata option to include 'author' field
   $('#metadata-gene-label-add').on('click', function(){
-    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID)
-    if(geneMetadata.length == 0) {
-      $('#metadata-deepdive-header').append('<th>metadata</th><th>action</th><th>remove</th>')
+    // geneMetadata must be set before tag is added
+    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID && metadata.type == 'tag')
+    let tagAdded = addMetadataTag(event.target.genomeID, event.target.geneID, $('#metadata-gene-label').val());
+    if(tagAdded && geneMetadata.length == 0) {
+      $('#metadata-deepdive-header').append('<th>Tag</th><th>Query</th><th>Remove</th>')
     }
-    addMetadataTag(event.target.genomeID, event.target.geneID, $('#metadata-gene-label').val());
   })
   $('#picker_tooltip').colpick({
     layout: 'hex',
@@ -885,6 +886,13 @@ function showTabularModal(){
 }
 
 function addMetadataTag(genomeID, geneID, label) {
+  if(label.trim().length == 0) return false;
+  let geneTags = settings['display']['metadata'].filter(metadata => metadata.genome == genomeID && metadata.gene == geneID && metadata.type == 'tag')
+  if(geneTags.some(tag => tag.label == label)) {
+    toastr.warning(`'Cannot add duplicate tag to gene ${geneID} of ${genomeID}'`);
+    return false;
+  }
+  
   let queryBtn = `<button type='button' class='btn btn-default btn-sm metadata-query'>Query sequence for matches</button>`
   let removeBtn = `<button type='button' class='btn btn-default btn-sm metadata-remove'>Remove metadata item</button>`
 
@@ -917,13 +925,14 @@ function addMetadataTag(genomeID, geneID, label) {
 
     settings['display']['metadata'].splice(index, 1)
 
-    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == genomeID && metadata.gene == geneID)
-    if(geneMetadata.length == 0) {
+    if(geneTags.length == 0) {
       $('#metadata-deepdive-header').empty();
     }
     
     $(this).closest('tr').remove();
   })
+
+  return true;
 }
 
 function gatherTabularModalSelectedItems(action){

From 34bc95c9d7d87f67c138ddb5cef6f55239618dc4 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 1 May 2023 19:20:16 -0500
Subject: [PATCH 0917/1020] settings cosmetics

---
 anvio/data/interactive/genomeview.html | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 4f4d3f7b9c..d80e4aa787 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -365,8 +365,10 @@ <h4 class="modal-title">Lasso</h4>
           class="btn btn-outline-primary" style="margin-top: 10px; margin-bottom: 10px">Reset Function colors</button>
 
         <span class="settings-header">Labels</span>
-        <table id="labels-table" style="margin-bottom: 180px;">
+
+        <table id="labels-table">
           <tbody>
+            <tr><td><strong style="font-size:12px">Genome Labels</strong></td></tr>
             <tr id="show_genome_labels">
               <td>Show genome labels</td>
               <td style="float: right">
@@ -393,6 +395,8 @@ <h4 class="modal-title">Lasso</h4>
                   style="background-color: #000000; margin-bottom: 10px"></div>
               </td>
             </tr>
+            <tr><td><br></td></tr>
+            <tr><td><strong style="font-size:12px">Gene Labels</strong></td></tr>
             <tr id="show_gene_labels">
               <td>Show gene labels:</td>
               <td style="float: right">
@@ -448,6 +452,9 @@ <h4 class="modal-title">Lasso</h4>
               <td><input type="text" class="form-control input-sm" id="gene_text_angle" value="0"
                   style="margin-bottom: 10px"></td>
             </tr>
+        </tbody>
+        <tr><td><br><br></td></tr>
+        <table style="margin-bottom: 180px;">
             <tr>
               <td><button onclick="showAllHiddenGenes()">Show all hidden genes</button></td>
             </tr>

From 023c0031a390e18b313cf0badfc94581f3ce59dc Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 1 May 2023 19:33:36 -0500
Subject: [PATCH 0918/1020] save/load state footer cosmetics

---
 anvio/data/interactive/genomeview.html | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index d80e4aa787..e2eacd3f42 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -463,15 +463,15 @@ <h4 class="modal-title">Lasso</h4>
             </tr>
           </tbody>
         </table>
-        <span style="margin-bottom:600px"></span>
+
       </div>
 
       <div class="btn-group sidebar-footer" role="group"
-        style="margin-top: 5px; padding-right: 20px; padding-bottom: 5px;">
-        <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 45px"
+        style="margin-top: 5px; padding-right: 20px; padding-bottom: 5px; height:40px">
+        <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 5px"
           onclick="showLoadStateWindow();" data-help="load-state-button" data-original-title="" title=""><span
             class="glyphicon glyphicon-floppy-open" aria-hidden="true"></span> Load State</button>
-        <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 45px"
+        <button type="button" class="btn btn-default btn-sm" style="width: 50%; float: left; margin-top: 5px"
           onclick="showSaveStateWindow();" data-help="save-state-button" disabled-in-read-only="true"
           data-original-title="" title=""><span class="glyphicon glyphicon-floppy-save" aria-hidden="true"></span>
           Save State</button>

From 5c156d3d74ec67cebe25f882085a852701d6491f Mon Sep 17 00:00:00 2001
From: matthewlawrenceklein <mtt.l.kln@gmail.com>
Date: Tue, 2 May 2023 01:26:28 +0000
Subject: [PATCH 0919/1020] metadata notes, saving to state, querying
 separately

---
 .../data/interactive/js/genomeview/drawer.js  | 12 +++---
 anvio/data/interactive/js/genomeview/ui.js    | 43 +++++++++++++++----
 2 files changed, 41 insertions(+), 14 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 0f482f1e1a..05e9c856f4 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -814,10 +814,12 @@ GenomeDrawer.prototype.queryFunctions = async function () {
     alert('please provide values for function category and/or query')
     return
   }
-  if (category == 'metadata'){
-    drawer.queryMetadata(query)
-    return
+  if (category.split(' ')[0] == 'metadata'){
+    type = category.split(' ')[1]
+    drawer.queryMetadata(query, type)
+    return;
   }
+
   this.settings['genomeData']['genomes'].map(genome => {
     for (const [key, value] of Object.entries(genome[1]['genes']['functions'])) {
       if (value[category]?.[0].toLowerCase().includes(query)) {
@@ -913,12 +915,12 @@ GenomeDrawer.prototype.queryFunctions = async function () {
   this.glowGenes(glowPayload, true)
 }
 
-GenomeDrawer.prototype.queryMetadata = async function(metadataLabel){
+GenomeDrawer.prototype.queryMetadata = async function(metadataLabel, type){
   $('#query-results-table').empty()
   let glowPayload = Array()
   let foundInGenomes = Object()
   let matches = settings['display']['metadata'].filter( m => m.label.toLowerCase().includes(metadataLabel.toLowerCase()))
-                                               .filter( m => m.type == 'tag')
+                                               .filter( m => m.type == type )
   matches.map(metadata => {
     glowPayload.push({
       geneID: metadata.gene,
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index b43cced0f9..ef524b0a90 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -395,22 +395,25 @@ function showDeepDiveToolTip(event){
   let totalMetadataString = String()
   let totalAnnotationsString = String()
   let metadataLabel = String()
+  let geneNote = String()
   let queryBtn = `<button type='button' class='btn btn-default btn-sm metadata-query'>Query sequence for matches</button>`
-  let removeBtn = `<button type='button' class='btn btn-default btn-sm metadata-remove'>Remove metadata item</button>`
+  let removeBtn = `<button type='button' class='btn btn-default btn-sm metadata-remove'>Remove metadata tag</button>`
 
   let includeMetadataHeader = false;
   if(settings['display']?.['metadata']){
-    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID )
-    if(geneMetadata.length > 0) includeMetadataHeader = true;
+    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID)
+    let geneTags = geneMetadata.filter(metadata => metadata.type === 'tag')
+    geneNote = geneMetadata.filter(metadata => metadata.type === 'note')[0]
+    if(geneTags.length > 0) includeMetadataHeader = true;
     
     const createMetadataContent = () => {
-      geneMetadata.map(metadata => {
+      geneTags.map(metadata => {
         metadataLabel = metadata.label
 
         totalMetadataString += `
         <tr>
         <td class='metadata'>${metadata.label}</td>
-        <td>${metadata.type == 'tag'? queryBtn : 'n/a'}</td>
+        <td>${queryBtn}</td>
         <td>${removeBtn}</td>
         </tr>
         `
@@ -486,8 +489,8 @@ function showDeepDiveToolTip(event){
       <input    id='metadata-gene-label' type='text' placeholder='Metadata tag'>
       <button   id='metadata-gene-label-add' type='button' class="btn btn-default btn-sm">Add tag</button>
       <br>
-      <textarea id='metadata-gene-description' placeholder='Metadata description'></textarea>
-      <button   id='metadata-gene-description-add' type='button' class="btn btn-default btn-sm">Add description</button>
+      <textarea id='metadata-gene-note' rows='15' cols='100' placeholder='Metadata Note'></textarea>
+      <button   id='metadata-gene-note-save' type='button' class="btn btn-default btn-sm">Save Note</button>
       <br>
       <table class="table table-striped" id="metadata-deepdive-table">
         <thead id="metadata-deepdive-header"></thead>
@@ -514,6 +517,9 @@ function showDeepDiveToolTip(event){
     $('#annotations-deepdive-header').empty()
   }
 
+  if(geneNote){
+    $('#metadata-gene-note').val(geneNote.label)
+  }
   if(includeMetadataHeader) $('#metadata-deepdive-header').append('<th>metadata</th><th>action</th><th>remove</th>')
 
   $('.metadata-query').on('click', function(){
@@ -578,6 +584,9 @@ function showDeepDiveToolTip(event){
       $('#metadata-deepdive-header').append('<th>Tag</th><th>Query</th><th>Remove</th>')
     }
   })
+  $('#metadata-gene-note-save').on('click', function(){
+    addMetadataNote(event.target.genomeID, event.target.geneID, $('#metadata-gene-note').val());
+  })
   $('#picker_tooltip').colpick({
     layout: 'hex',
     submit: 0,
@@ -885,6 +894,21 @@ function showTabularModal(){
   });
 }
 
+function addMetadataNote(genomeID, geneID, payload) {
+  if(payload.trim().length === 0) return false; 
+
+  let noteObj = {
+    label   : payload,
+    genome  : genomeID,
+    gene    : geneID, 
+    type    : 'note'
+  }
+
+  if(!settings['display']['metadata']) settings['display']['metadata'] = []
+  settings['display']['metadata'].push(noteObj)
+  toastr.success('Saved metadata note')
+}
+
 function addMetadataTag(genomeID, geneID, label) {
   if(label.trim().length == 0) return false;
   let geneTags = settings['display']['metadata'].filter(metadata => metadata.genome == genomeID && metadata.gene == geneID && metadata.type == 'tag')
@@ -894,7 +918,7 @@ function addMetadataTag(genomeID, geneID, label) {
   }
   
   let queryBtn = `<button type='button' class='btn btn-default btn-sm metadata-query'>Query sequence for matches</button>`
-  let removeBtn = `<button type='button' class='btn btn-default btn-sm metadata-remove'>Remove metadata item</button>`
+  let removeBtn = `<button type='button' class='btn btn-default btn-sm metadata-remove'>Remove metadata tag</button>`
 
   let metadataObj = {
     label  : label,
@@ -1594,7 +1618,8 @@ function buildGeneLabelsSelect(){
   })
   // while we're here, we add 'metadata' to the function_search_category dropdown select
   // TODO refactor naming convention to sequence_search_category, bc we're not just querying functions!
-  $('#function_search_category').append(new Option('metadata', 'metadata'))
+  $('#function_search_category').append(new Option('metadata tag', 'metadata tag'))
+  $('#function_search_category').append(new Option('metadata note', 'metadata note'))
 }
 
 function setGeneVisibilityRange(targetGene, targetGenome){

From dcdd7704b1d9ea799756b59b5a8fb4da7f15985c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 3 May 2023 16:15:07 -0500
Subject: [PATCH 0920/1020] replace existing metadata notes rather than adding
 new ones

---
 anvio/data/interactive/js/genomeview/ui.js | 21 +++++++++++++--------
 1 file changed, 13 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index ef524b0a90..cc0d5c12d8 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -897,15 +897,20 @@ function showTabularModal(){
 function addMetadataNote(genomeID, geneID, payload) {
   if(payload.trim().length === 0) return false; 
 
-  let noteObj = {
-    label   : payload,
-    genome  : genomeID,
-    gene    : geneID, 
-    type    : 'note'
-  }
-
   if(!settings['display']['metadata']) settings['display']['metadata'] = []
-  settings['display']['metadata'].push(noteObj)
+
+  let currentNoteIdx = settings['display']['metadata'].findIndex(metadata => metadata.genome == genomeID && metadata.gene == geneID && metadata.type == 'note');
+  if(currentNoteIdx == -1) {
+    let noteObj = {
+      label   : payload,
+      genome  : genomeID,
+      gene    : geneID, 
+      type    : 'note'
+    }
+    settings['display']['metadata'].push(noteObj)
+  } else {
+    settings['display']['metadata'][currentNoteIdx].label = payload
+  }
   toastr.success('Saved metadata note')
 }
 

From e40b048636004e40f5b0d9bd16b6b3ac82af2e95 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 3 May 2023 16:59:10 -0500
Subject: [PATCH 0921/1020] save metadata note automatically when user closes
 deepdive

---
 anvio/data/interactive/js/genomeview/ui.js | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index cc0d5c12d8..2ea43e5001 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -618,6 +618,13 @@ function showDeepDiveToolTip(event){
   }).keyup(function() {
       $(this).colpickSetColor(this.value);
   });
+
+  $('#deepdive-modal-body').unbind('hidden.bs.modal');
+  $('#deepdive-modal-body').on('hidden.bs.modal', function () {
+    let note = $('#metadata-gene-note').val()
+    if(!note || note.trim().length == 0) return;
+    addMetadataNote(event.target.genomeID, event.target.geneID, note);
+  });
 }
 
 function showToolTip(event){

From 2dba56f0d3e22162a60f8a5ab06acc12f8df8c0d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 3 May 2023 19:45:13 -0500
Subject: [PATCH 0922/1020] cleaner

---
 anvio/data/interactive/js/genomeview/ui.js | 18 ++++++++----------
 1 file changed, 8 insertions(+), 10 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 2ea43e5001..ca8ebf621a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -493,19 +493,22 @@ function showDeepDiveToolTip(event){
       <button   id='metadata-gene-note-save' type='button' class="btn btn-default btn-sm">Save Note</button>
       <br>
       <table class="table table-striped" id="metadata-deepdive-table">
-        <thead id="metadata-deepdive-header"></thead>
+        <thead id="metadata-deepdive-header">${includeMetadataHeader ? '<th>metadata</th><th>action</th><th>remove</th>' : ''}</thead>
         <tbody id="metadata-body">
          ${totalMetadataString}
         </tbody>
       </table>
   </div>
 
-  <h2>Annotations</h2>
+  <h2>${event.target.functions ? 'Annotations' : ''}</h2>
   <table class="table table-striped">
     <thead id="annotations-deepdive-header">
-      <th>Source</th>;
-      <th>Accession</th>
-      <th>Annotation</th>
+      ${event.target.functions ? `
+        <th>Source</th>;
+        <th>Accession</th>
+        <th>Annotation</th>` 
+        : ''
+      }
     </thead>
     <tbody>
       ${totalAnnotationsString}
@@ -513,14 +516,9 @@ function showDeepDiveToolTip(event){
   </table>
   `)
 
-  if(!event.target.functions){
-    $('#annotations-deepdive-header').empty()
-  }
-
   if(geneNote){
     $('#metadata-gene-note').val(geneNote.label)
   }
-  if(includeMetadataHeader) $('#metadata-deepdive-header').append('<th>metadata</th><th>action</th><th>remove</th>')
 
   $('.metadata-query').on('click', function(){
     drawer.queryMetadata(metadataLabel)

From ea67e1e17275a1bca44369f8e3b46b9d4cc96089 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 3 May 2023 19:46:09 -0500
Subject: [PATCH 0923/1020] extraneous

---
 anvio/data/interactive/js/genomeview/ui.js | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index ca8ebf621a..531634b59b 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -385,12 +385,6 @@ function setEventListeners(){
   });
 }
 function showDeepDiveToolTip(event){
-  $('.canvas-container').dblclick(function(){
-    if($("#deepdive-tooltip-body").is(":visible")){
-      $("#deepdive-tooltip-body").hide()
-    }
-  })
-
   $('#deepdive-modal-tab-content').html('')
   let totalMetadataString = String()
   let totalAnnotationsString = String()

From b571efe38d557fa36df6055ae92abda1d334f2d1 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 3 May 2023 19:54:44 -0500
Subject: [PATCH 0924/1020] more descriptive

---
 anvio/data/interactive/genomeview.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index e2eacd3f42..3d6aab97fd 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -519,7 +519,7 @@ <h4 class="modal-title">Lasso</h4>
         <th>Genome</th>
         <th>Start</th>
         <th>Stop</th>
-        <th>Action</th>
+        <th>Go To</th>
       </thead>
       <tbody id="query-results-table">
       </tbody>

From 431832fb2773d836e32fd62eb2637c1f599f2918 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 3 May 2023 20:17:05 -0500
Subject: [PATCH 0925/1020] fix

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 05e9c856f4..f7a4fffb0a 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -917,6 +917,10 @@ GenomeDrawer.prototype.queryFunctions = async function () {
 
 GenomeDrawer.prototype.queryMetadata = async function(metadataLabel, type){
   $('#query-results-table').empty()
+  if(!settings['display']['metadata']) {
+    alert(`No hits were found matching ${metadataLabel} in metadata`)
+    return
+  }
   let glowPayload = Array()
   let foundInGenomes = Object()
   let matches = settings['display']['metadata'].filter( m => m.label.toLowerCase().includes(metadataLabel.toLowerCase()))

From b551f6558881c51a4e88d8a66e2a0aa7c8461da5 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 3 May 2023 20:25:22 -0500
Subject: [PATCH 0926/1020] specify metadata queries

---
 anvio/data/interactive/js/genomeview/ui.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 531634b59b..7a75d97e89 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -515,7 +515,7 @@ function showDeepDiveToolTip(event){
   }
 
   $('.metadata-query').on('click', function(){
-    drawer.queryMetadata(metadataLabel)
+    drawer.queryMetadata(metadataLabel, 'tag')
   })
 
   $('.metadata-remove').on('click', function(){
@@ -944,7 +944,7 @@ function addMetadataTag(genomeID, geneID, label) {
   $('.metadata-remove, .metadata-query').unbind('click')
 
   $('.metadata-query').on('click', function(){ // re-trigger listener for new DOM buttons
-    drawer.queryMetadata(label)
+    drawer.queryMetadata(label, 'tag')
   })
 
   $('.metadata-remove').on('click', function(){      

From 1a426366965b184c004c8b1458ace83e309fcadc Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 3 May 2023 23:56:09 -0500
Subject: [PATCH 0927/1020] clear query results button

---
 anvio/data/interactive/genomeview.html | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 3d6aab97fd..cfb4092827 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -504,6 +504,7 @@ <h4 class="modal-title">Lasso</h4>
           <td>
             <button onclick='drawer.queryFunctions()'>Let's Go!</button>
             <button onclick='drawer.removeAllGeneGlows()'>Clear All Gene Glows</button>
+            <button onclick='$("#query-results-head, #query-results-table").empty()'>Clear Results</button>
           </td>
           <br>
           <td>
@@ -514,7 +515,7 @@ <h4 class="modal-title">Lasso</h4>
     </table>
     <span id="query-results-span"></span>
     <table class="table table-striped" style="width: 100%; text-align: center;">
-      <thead>
+      <thead id="query-results-head">
         <th>Gene ID</th>
         <th>Genome</th>
         <th>Start</th>

From e9de02037dc3403a002127c5ce86c741e1adeba5 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 00:12:41 -0500
Subject: [PATCH 0928/1020] show all tags button in query pane

---
 anvio/data/interactive/genomeview.html        |  1 +
 .../data/interactive/js/genomeview/drawer.js  | 57 +++++++++++++++++++
 anvio/data/interactive/js/genomeview/ui.js    |  8 +++
 3 files changed, 66 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index cfb4092827..a9760296e8 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -504,6 +504,7 @@ <h4 class="modal-title">Lasso</h4>
           <td>
             <button onclick='drawer.queryFunctions()'>Let's Go!</button>
             <button onclick='drawer.removeAllGeneGlows()'>Clear All Gene Glows</button>
+            <button onclick='drawer.showAllTags()'>Show All Metadata Tags</button>
             <button onclick='$("#query-results-head, #query-results-table").empty()'>Clear Results</button>
           </td>
           <br>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index f7a4fffb0a..25f56c1866 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -803,6 +803,15 @@ GenomeDrawer.prototype.adjustScaleInterval = function () {
 
 GenomeDrawer.prototype.queryFunctions = async function () {
   $('#query-results-table').empty()
+  $('#query-results-head').empty().append(`
+    <tr>
+      <th>Gene ID</th>
+      <th>Genome</th>
+      <th>Start</th>
+      <th>Stop</th>
+      <th>Go To</th>
+    </tr>
+  `);
   $('#query-results-span').empty()
   let query = $('#function_search_query').val().toLowerCase()
   let category = $('#function_search_category').val()
@@ -917,6 +926,16 @@ GenomeDrawer.prototype.queryFunctions = async function () {
 
 GenomeDrawer.prototype.queryMetadata = async function(metadataLabel, type){
   $('#query-results-table').empty()
+  $('#query-results-head').empty().append(`
+    <tr>
+      <th>Gene ID</th>
+      <th>Genome</th>
+      <th>Start</th>
+      <th>Stop</th>
+      <th>Go To</th>
+    </tr>
+  `);
+
   if(!settings['display']['metadata']) {
     alert(`No hits were found matching ${metadataLabel} in metadata`)
     return
@@ -964,6 +983,44 @@ GenomeDrawer.prototype.queryMetadata = async function(metadataLabel, type){
   this.glowGenes(glowPayload, true)
 }
 
+GenomeDrawer.prototype.showAllTags = function(){
+  if(!settings['display']['metadata'] || settings['display']['metadata'].filter(metadata => metadata.type == 'tag').length == 0) {
+    alert('No metadata tags currently exist');
+    return;
+  }
+
+  $('#query-results-table').empty();
+  $('#query-results-head').empty().append(`
+    <tr>
+      <th>Tag</th>
+      <th>Gene ID</th>
+      <th>Genome</th>
+      <th>Start</th>
+      <th>Stop</th>
+      <th>Go To</th>
+      <th>Remove</th>
+    </tr>
+  `);
+
+  settings['display']['metadata'].filter(metadata => metadata.type == 'tag').forEach(tag => {
+    let genome = this.settings['genomeData']['genomes'].filter(genome => genome[0] == tag.genome)
+    let start = genome[0][1]['genes']['gene_calls'][tag.gene]['start']
+    let end = genome[0][1]['genes']['gene_calls'][tag.gene]['stop']
+
+    $('#query-results-table').append(`
+      <tr>
+        <td>${tag.label}</td>
+        <td>${tag.gene}</td>
+        <td>${tag.genome}</td>
+        <td>${start}</td>
+        <td>${end}</td>
+        <td><button onclick="goToGene('${tag.genome}',${tag.gene},${start},${end})">Go To</button</td>
+        <td><button onclick="$(this).closest('tr').remove(); removeTagFromQueryTable('${tag.genome}',${tag.gene},'${tag.label}')">Remove Tag</button</td>
+      </tr>
+    `)
+  });
+}
+
 GenomeDrawer.prototype.setInitialZoom = function(){
     let start = 0
     let stop = globalGenomeMax > 35000 ? 35000 : globalGenomeMax
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 7a75d97e89..17b6ac2e34 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -963,6 +963,14 @@ function addMetadataTag(genomeID, geneID, label) {
   return true;
 }
 
+function removeTagFromQueryTable(genomeID, geneID, label) {
+  let index = settings['display']['metadata'].findIndex(m => m.label == label && m.gene == geneID && m.genome == genomeID && m.type == 'tag');
+  settings['display']['metadata'].splice(index, 1);
+  if($('#query-results-table').children().length == 0) {
+    $('#query-results-head').empty();
+  }
+}
+
 function gatherTabularModalSelectedItems(action){
   let targetedGenes = []
   let curr_genome = $('.active')[1].id;

From e6de274f5930e9405ffd53ffdcb066219a765f8b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 00:22:19 -0500
Subject: [PATCH 0929/1020] fix

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 17b6ac2e34..b3f572b9fd 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -915,7 +915,7 @@ function addMetadataNote(genomeID, geneID, payload) {
 
 function addMetadataTag(genomeID, geneID, label) {
   if(label.trim().length == 0) return false;
-  let geneTags = settings['display']['metadata'].filter(metadata => metadata.genome == genomeID && metadata.gene == geneID && metadata.type == 'tag')
+  let geneTags = settings['display']['metadata'] ? settings['display']['metadata'].filter(metadata => metadata.genome == genomeID && metadata.gene == geneID && metadata.type == 'tag') : []
   if(geneTags.some(tag => tag.label == label)) {
     toastr.warning(`'Cannot add duplicate tag to gene ${geneID} of ${genomeID}'`);
     return false;

From c2ca5793778eff390f17815e14db4dd0de2b87b6 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 00:51:43 -0500
Subject: [PATCH 0930/1020] fix

---
 anvio/data/interactive/js/genomeview/ui.js | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index b3f572b9fd..c9df78db7c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -455,7 +455,7 @@ function showDeepDiveToolTip(event){
         <td>${event.target.gene?.call_type}</td>
       </tr>
     </tbody>
-  </table>;
+  </table>
 
   <button type="button" id="gene-dna-sequence-button"class="btn btn-default btn-sm" >DNA</button>
   <button type="button" id="gene-aa-sequence-button" class="btn btn-default btn-sm" >AA</button>
@@ -498,7 +498,7 @@ function showDeepDiveToolTip(event){
   <table class="table table-striped">
     <thead id="annotations-deepdive-header">
       ${event.target.functions ? `
-        <th>Source</th>;
+        <th>Source</th>
         <th>Accession</th>
         <th>Annotation</th>` 
         : ''
@@ -1120,7 +1120,7 @@ function showLassoMenu(selected_genes, x, y) {
       <tr><td>Stop</td><td>${stop}</td></tr> \
       <tr><td>Length</td><td>${length}</td></tr> \
       <tr><td>Gene count</td><td>${selected_genes.length}</td></tr> \
-    </table>';
+    </table>'
 
     <div id="picker_lasso" class="colorpicker" color="#808080" background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px"></div>
     <br><br>
@@ -1211,7 +1211,7 @@ function buildGenomesTable(genomes, order){
                   <td><img src="images/drag.gif" class="drag-icon" id=${genomeLabel} /></td>
                   <td> ${genomeLabel} </td>
                   <td><input type="checkbox" class="genome_selectors" onclick="drawer.draw(); drawGenomeLabels(settings['display']['genome-label-size'])" id="${genomeLabel}-show"></input></td>
-                  </tr>;`
+                  </tr>`
 
     $('#tbody_genomes').append(template);
   })
@@ -1237,14 +1237,14 @@ function buildGroupLayersTable(layerLabel){
                     <td> ${layerLabel} </td>
                     <td style="margin-left: 5px;"> n/a </td>
                     <td><input type="checkbox" class="additional_selectors" id="${layerLabel}-show" onclick="toggleAdditionalDataLayer(event)" checked=${show}></input></td>
-                    </tr>;`
+                    </tr>`
   } else {
     var template =  `<tr id=${layerLabel}>
                      <td><img src="images/drag.gif" class="drag-icon" id=${layerLabel} /></td>
                      <td> ${layerLabel} </td>' +
                      <td><div id="${layerLabel}_color" style="margin-left: 5px;" class="colorpicker" style="background-color: ${color}" color=${color} background-color=${color} ></div></td>
                      <td><input type="checkbox" class="additional_selectors" id="${layerLabel}-show" onclick="toggleAdditionalDataLayer(event)" checked=''></input></td>
-                     </tr>;`
+                     </tr>`
   }
   $('#tbody_additionalDataLayers').append(template);
   $("#tbody_additionalDataLayers").sortable({helper: fixHelperModified, handle: '.drag-icon', items: "> tr"}).disableSelection();

From 70bd5dd36ca9262a334196f460666188718de80f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 17:46:59 -0500
Subject: [PATCH 0931/1020] better name

---
 anvio/data/interactive/genomeview.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index a9760296e8..72560f0823 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -113,7 +113,7 @@ <h4 class="modal-title">Deepdive Tooltip</h4>
       <div class="modal-content">
         <div class="modal-header">
           <button type="button" class="close" data-dismiss="modal">&times;</button>
-          <h4 class="modal-title">Viewport Genomic Data</h4>
+          <h4 class="modal-title">Genomic Data Viewport</h4>
         </div>
         <div class="modal-body">
           <div class="container-fluid">

From 8c70b898df79eda941e59b0d4ee536f808a85911 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 17:58:35 -0500
Subject: [PATCH 0932/1020] center Scale in window

---
 anvio/data/interactive/genomeview.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 72560f0823..dd6223117d 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -66,7 +66,7 @@
       <br />Loading...
     </div>
   </div>
-  <div class="container">
+  <div class="container" style="display:flex; justify-content:center">
     <div id='labelAndMainContainer'>
       <canvas id="genomeLabelCanvas" height="700px"></canvas>
       <canvas id="myCanvas" height="700px"></canvas>

From fdcee0a5171fe4d585d923ec29b0683bbc79c219 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 18:26:51 -0500
Subject: [PATCH 0933/1020] center genome labels on Genome group layer rather
 than entire group

---
 anvio/data/interactive/js/genomeview/main.js |  9 +++++----
 anvio/data/interactive/js/genomeview/ui.js   | 14 +++++++++++++-
 2 files changed, 18 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 1328d66f2f..02d90a24ca 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -589,10 +589,6 @@ function loadAll(loadType) {
     $('#' + genome + '-show').prop('checked', settings['display']['show-genomes'][genome])
   })
 
-  $('#genome_label_color').css('background-color', settings['display']['colors']['genome-label']);
-  $('#genome_label_color').attr('color', settings['display']['colors']['genome-label']);
-  drawGenomeLabels(settings['display']['genome-label-size']);
-
   let [start, stop] = settings['display']['nt_window'];
   $('#brush_start').val(start);
   $('#brush_end').val(stop);
@@ -609,5 +605,10 @@ function loadAll(loadType) {
   drawer = new GenomeDrawer(settings)
   drawer.draw()
   console.log('draw from loadAll')
+
+  $('#genome_label_color').css('background-color', settings['display']['colors']['genome-label']);
+  $('#genome_label_color').attr('color', settings['display']['colors']['genome-label']);
+  drawGenomeLabels(settings['display']['genome-label-size']);
+
   toastr.success(`Successfully loaded from ${settings['state-name']} state`)
 }
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index c9df78db7c..3cad8f1ec4 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1253,6 +1253,7 @@ function buildGroupLayersTable(layerLabel){
 
   $("#tbody_additionalDataLayers").on("sortupdate", (event, ui) => {
     changeGroupLayersOrder($("#tbody_additionalDataLayers").sortable('toArray'))
+    drawGenomeLabels()
   })
 
   $(`#${layerLabel}_color`).colpick({
@@ -1682,7 +1683,18 @@ function drawGenomeLabels(fontsize=null) {
       selectable: false,
       hoverCursor: 'default'
     });
-    if(!$('#rotate_genome_labels_box').prop("checked")) label.top -= genomeHeight/2;
+    if(!$('#rotate_genome_labels_box').prop("checked")) {
+      let layersBefore = settings['group-layer-order'].indexOf('Genome');
+      let rulerBefore = false;
+      if(settings['group-layer-order'].indexOf('Ruler') < layersBefore) {
+        layersBefore--;
+        rulerBefore = true;
+      }
+      let [dataLayerHeight, rulerHeight] = drawer.calculateLayerSizes();
+      // center label on genome layer
+      console.log(label.height)
+      label.top = label.top - genomeHeight + (rulerBefore ? rulerHeight : 0) + layersBefore*dataLayerHeight + dataLayerHeight/2 + (layersBefore+rulerBefore)*groupLayerPadding - label.height/2 + 5;
+    }
     labelCanvas.add(label);
   });
 }

From 2859ddf5ec49403f0bc181e1698082440f86a288 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 18:27:52 -0500
Subject: [PATCH 0934/1020] clean

---
 anvio/data/interactive/js/genomeview/ui.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 3cad8f1ec4..8fd1160e62 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1692,7 +1692,6 @@ function drawGenomeLabels(fontsize=null) {
       }
       let [dataLayerHeight, rulerHeight] = drawer.calculateLayerSizes();
       // center label on genome layer
-      console.log(label.height)
       label.top = label.top - genomeHeight + (rulerBefore ? rulerHeight : 0) + layersBefore*dataLayerHeight + dataLayerHeight/2 + (layersBefore+rulerBefore)*groupLayerPadding - label.height/2 + 5;
     }
     labelCanvas.add(label);

From a6467df1c8719ed485a7f16e0ee2d18143806d7b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 18:43:37 -0500
Subject: [PATCH 0935/1020] variable cleanup

---
 anvio/data/interactive/js/genomeview/ui.js | 49 +++++++++++-----------
 1 file changed, 24 insertions(+), 25 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 8fd1160e62..c6c2b1b9fc 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -392,10 +392,12 @@ function showDeepDiveToolTip(event){
   let geneNote = String()
   let queryBtn = `<button type='button' class='btn btn-default btn-sm metadata-query'>Query sequence for matches</button>`
   let removeBtn = `<button type='button' class='btn btn-default btn-sm metadata-remove'>Remove metadata tag</button>`
+  let genomeID = event.target.genomeID;
+  let geneID = event.target.geneID;
 
   let includeMetadataHeader = false;
   if(settings['display']?.['metadata']){
-    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID)
+    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == genomeID && metadata.gene == geneID)
     let geneTags = geneMetadata.filter(metadata => metadata.type === 'tag')
     geneNote = geneMetadata.filter(metadata => metadata.type === 'note')[0]
     if(geneTags.length > 0) includeMetadataHeader = true;
@@ -446,7 +448,7 @@ function showDeepDiveToolTip(event){
     </thead>
     <tbody>
       <tr>
-        <td>${event.target.geneID}</td>
+        <td>${geneID}</td>
         <td>${event.target.gene?.source}</td>
         <td>${event.target.gene.stop - event.target.gene.start}</td>
         <td>${event.target.gene.direction}</td>
@@ -519,14 +521,12 @@ function showDeepDiveToolTip(event){
   })
 
   $('.metadata-remove').on('click', function(){
-    let gene = event.target.geneID
-    let genome = event.target.genomeID
     let label = $(this).parent().siblings('td').first().html()
-    let index = settings['display']['metadata'].findIndex(m => m.label == label && m.gene == gene && m.genome == genome)
+    let index = settings['display']['metadata'].findIndex(m => m.label == label && m.gene == geneID && m.genome == genomeID)
 
     settings['display']['metadata'].splice(index, 1)
 
-    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID)
+    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == genomeID && metadata.gene == geneID)
     if(geneMetadata.length == 0) {
       $('#metadata-deepdive-header').empty();
     }
@@ -535,49 +535,50 @@ function showDeepDiveToolTip(event){
   })
 
   $('#gene-visibility-range-set').click(function(){
-    setGeneVisibilityRange(event.target.geneID, event.target.genomeID)
+    setGeneVisibilityRange(geneID, genomeID)
   })
 
   $('#gene-dna-sequence-button').on('click', function(){
-    show_sequence_modal('DNA Sequence', settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID], event.target.geneID, event.target.genomeID)
+    show_sequence_modal('DNA Sequence', settings['genomeData']['genomes'].filter(genome => genome[0] == genomeID)[0][1]['genes']['dna'][geneID], geneID, genomeID)
   })
 
   $('#gene-aa-sequence-button').on('click', function(){
-    show_sequence_modal('AA Sequence', settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['aa'][event.target.geneID], event.target.geneID, event.target.genomeID)
+    show_sequence_modal('AA Sequence', settings['genomeData']['genomes'].filter(genome => genome[0] == genomeID)[0][1]['genes']['aa'][geneID], geneID, genomeID)
   })
 
   $('#gene-blastx-at-nr-button').on('click', function(){
-    let sequence = settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence']
+    let sequence = settings['genomeData']['genomes'].filter(genome => genome[0] == genomeID)[0][1]['genes']['dna'][geneID]['sequence']
     let sequenceConcat = '>' + 'DNA_SEQUENCE' + '\n' + sequence
     fire_up_ncbi_blast(sequenceConcat, 'blastx', 'nr', 'gene')
   })
   $('#gene-blastn-at-nr-button').on('click', function(){
-    let sequence = settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence']
+    let sequence = settings['genomeData']['genomes'].filter(genome => genome[0] == genomeID)[0][1]['genes']['dna'][geneID]['sequence']
     let sequenceConcat = '>' + 'DNA_SEQUENCE' + '\n' + sequence
     fire_up_ncbi_blast(sequenceConcat, 'blastn', 'nr', 'gene')
   })
 
   $('#gene-blastx-at-refseq-button').on('click', function(){
-    let sequence = settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence']
+    let sequence = settings['genomeData']['genomes'].filter(genome => genome[0] == genomeID)[0][1]['genes']['dna'][geneID]['sequence']
     let sequenceConcat = '>' + 'DNA_SEQUENCE' + '\n' + sequence
     fire_up_ncbi_blast(sequenceConcat, 'blastx', 'refseq_genomic', 'gene')
   })
   $('#gene-blastn-at-refseq-button').on('click', function(){
-    let sequence = settings['genomeData']['genomes'].filter(genome => genome[0] == event.target.genomeID)[0][1]['genes']['dna'][event.target.geneID]['sequence']
+    let sequence = settings['genomeData']['genomes'].filter(genome => genome[0] == genomeID)[0][1]['genes']['dna'][geneID]['sequence']
     let sequenceConcat = '>' + 'DNA_SEQUENCE' + '\n' + sequence
     fire_up_ncbi_blast(sequenceConcat, 'blastn', 'refseq_genomic', 'gene')
   })
   // TODO consider metadata option to include 'author' field
   $('#metadata-gene-label-add').on('click', function(){
     // geneMetadata must be set before tag is added
-    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == event.target.genomeID && metadata.gene == event.target.geneID && metadata.type == 'tag')
-    let tagAdded = addMetadataTag(event.target.genomeID, event.target.geneID, $('#metadata-gene-label').val());
+    let geneMetadata = settings['display']['metadata'].filter(metadata => metadata.genome == genomeID && metadata.gene == geneID && metadata.type == 'tag')
+    let tagAdded = addMetadataTag(genomeID, geneID, $('#metadata-gene-label').val());
     if(tagAdded && geneMetadata.length == 0) {
       $('#metadata-deepdive-header').append('<th>Tag</th><th>Query</th><th>Remove</th>')
     }
   })
   $('#metadata-gene-note-save').on('click', function(){
-    addMetadataNote(event.target.genomeID, event.target.geneID, $('#metadata-gene-note').val());
+    addMetadataNote(genomeID, geneID, $('#metadata-gene-note').val());
+  })
   })
   $('#picker_tooltip').colpick({
     layout: 'hex',
@@ -592,18 +593,16 @@ function showDeepDiveToolTip(event){
         $(el).css('background-color', '#' + hex);
         $(el).attr('color', '#' + hex);
         if (!bySetColor) $(el).val(hex);
-        let gene = canvas.getObjects().find(obj => obj.id == 'arrow' &&
-                       event.target.genomeID == obj.genomeID &&
-                       event.target.geneID == obj.geneID);
+        let gene = canvas.getObjects().find(obj => obj.id == 'arrow' && genomeID == obj.genomeID && geneID == obj.geneID);
         gene.fill = `#${hex}`
         gene.dirty = true
-        if(!settings['display']['colors']['genes']?.[event.target.genomeID]?.[event.target.geneID]){
-          if(!settings['display']['colors']['genes'][event.target.genomeID]) {
-            settings['display']['colors']['genes'][event.target.genomeID] = [];
+        if(!settings['display']['colors']['genes']?.[genomeID]?.[geneID]){
+          if(!settings['display']['colors']['genes'][genomeID]) {
+            settings['display']['colors']['genes'][genomeID] = [];
           }
-          settings['display']['colors']['genes'][event.target.genomeID][event.target.geneID] = `#${hex}`
+          settings['display']['colors']['genes'][genomeID][geneID] = `#${hex}`
         } else {
-          settings['display']['colors']['genes'][event.target.genomeID][event.target.geneID] = `#${hex}`
+          settings['display']['colors']['genes'][genomeID][geneID] = `#${hex}`
         }
         canvas.renderAll()
     }
@@ -615,7 +614,7 @@ function showDeepDiveToolTip(event){
   $('#deepdive-modal-body').on('hidden.bs.modal', function () {
     let note = $('#metadata-gene-note').val()
     if(!note || note.trim().length == 0) return;
-    addMetadataNote(event.target.genomeID, event.target.geneID, note);
+    addMetadataNote(genomeID, geneID, note);
   });
 }
 

From 1a7341f0bfddbdc54dacb0200d453437cd76da7e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 21:06:41 -0500
Subject: [PATCH 0936/1020] add user-defined annotations in deepdive

---
 anvio/data/interactive/js/genomeview/main.js |  6 ++
 anvio/data/interactive/js/genomeview/ui.js   | 60 +++++++++++++++-----
 2 files changed, 53 insertions(+), 13 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 02d90a24ca..5b17da9888 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -422,6 +422,12 @@ function processState(stateName, stateData) {
     settings['display']['xDisps'] = stateData['display']['xDisps']
   }
 
+  if(stateData?.['display']?.['accessionNum']) {
+    settings['display']['accessionNum'] = stateData['display']['accessionNum'];
+  } else {
+    settings['display']['accessionNum'] = 0;
+  }
+
   if(settings?.['display']?.['show-genomes']) {
     settings['display']['show-genomes'] = stateData['display']['show-genomes']
   } else {
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index c6c2b1b9fc..135f450b60 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -489,27 +489,27 @@ function showDeepDiveToolTip(event){
       <button   id='metadata-gene-note-save' type='button' class="btn btn-default btn-sm">Save Note</button>
       <br>
       <table class="table table-striped" id="metadata-deepdive-table">
-        <thead id="metadata-deepdive-header">${includeMetadataHeader ? '<th>metadata</th><th>action</th><th>remove</th>' : ''}</thead>
+        <thead id="metadata-deepdive-header">${includeMetadataHeader ? '<th>Tag</th><th>Query</th><th>Remove</th>' : ''}</thead>
         <tbody id="metadata-body">
          ${totalMetadataString}
         </tbody>
       </table>
   </div>
 
-  <h2>${event.target.functions ? 'Annotations' : ''}</h2>
-  <table class="table table-striped">
-    <thead id="annotations-deepdive-header">
-      ${event.target.functions ? `
+  ${event.target.functions ?
+    `<h2>Annotations</h2>
+    <input id="annotation-deepdive-input" type="text" placeholder="User-defined annotation" size='50'>
+    <button id='annotation-add' type='button' class="btn btn-default btn-sm">Add custom annotation</button>
+    <table class="table table-striped">
+      <thead id="annotations-deepdive-header">
         <th>Source</th>
         <th>Accession</th>
-        <th>Annotation</th>` 
-        : ''
-      }
-    </thead>
-    <tbody>
-      ${totalAnnotationsString}
-    </tbody>
-  </table>
+        <th>Annotation</th> 
+      </thead>
+      <tbody id="annotations-deepdive-body">
+        ${totalAnnotationsString}
+      </tbody>
+    </table>` : ''}
   `)
 
   if(geneNote){
@@ -579,6 +579,40 @@ function showDeepDiveToolTip(event){
   $('#metadata-gene-note-save').on('click', function(){
     addMetadataNote(genomeID, geneID, $('#metadata-gene-note').val());
   })
+  $('#annotation-add').on('click', function(){
+    let annotation = $('#annotation-deepdive-input').val();
+    if(annotation.trim().length == 0) return;
+
+    if(!settings['display']['metadata']) settings['display']['metadata'] = [];
+
+    if(settings['display']['metadata'].some(m => m.type == 'annotation' && m.gene == geneID && m.genome == genomeID)) {
+      toastr.warning(`Cannot add more than one annotation to gene ${geneID} of ${genomeID}`);
+      return;
+    }
+
+    let accession = 'UD_' + "0".repeat(5-settings['display']['accessionNum'].toString().length) + settings['display']['accessionNum'];
+
+    if(!event.target.functions && settings['display']['metadata'].filter(metadata => metadata.genome == genomeID && metadata.gene == geneID && metadata.type == 'annotation').length == 0) {
+      $('#annotations-deepdive-header').append('<th>Tag</th><th>Query</th><th>Remove</th>')
+    }
+    $('#annotations-deepdive-body').append(`
+      <tr>
+        <td>User_Defined</td>
+        <td>${accession}</td>
+        <td>${annotation}</td>
+      </tr>
+    `);
+
+    settings['display']['metadata'].push({
+      gene: geneID,
+      genome: genomeID,
+      accession: accession,
+      annotation: annotation,
+      type: 'annotation'
+    });
+    settings['display']['accessionNum']++;
+
+    // add remove button: remove from settings and accessionNum-- 
   })
   $('#picker_tooltip').colpick({
     layout: 'hex',

From c4e2ef0c687522391f367cfa19fe08c78504225e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 21:07:01 -0500
Subject: [PATCH 0937/1020] new query option for user-defined annotations

---
 anvio/data/interactive/js/genomeview/drawer.js | 15 +++++++++++++++
 anvio/data/interactive/js/genomeview/ui.js     |  3 ++-
 2 files changed, 17 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 25f56c1866..8b64e06a99 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -828,6 +828,10 @@ GenomeDrawer.prototype.queryFunctions = async function () {
     drawer.queryMetadata(query, type)
     return;
   }
+  if(category == 'User-defined') {
+    drawer.queryUserDefined(query);
+    return;
+  }
 
   this.settings['genomeData']['genomes'].map(genome => {
     for (const [key, value] of Object.entries(genome[1]['genes']['functions'])) {
@@ -983,6 +987,17 @@ GenomeDrawer.prototype.queryMetadata = async function(metadataLabel, type){
   this.glowGenes(glowPayload, true)
 }
 
+GenomeDrawer.prototype.queryUserDefined = async function (query) {
+  if(!settings['display']['metadata'] || settings['display']['metadata'].filter(m => m.type == 'annotation').length == 0) {
+    alert(`No hits were found matching ${query} in user-defined annotations`)
+    return
+  }
+
+  let distinctQueryMatches = Object()
+  let glowPayload = Array()
+  let foundInGenomes = Object()
+}
+
 GenomeDrawer.prototype.showAllTags = function(){
   if(!settings['display']['metadata'] || settings['display']['metadata'].filter(metadata => metadata.type == 'tag').length == 0) {
     alert('No metadata tags currently exist');
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 135f450b60..86d2c207e6 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1662,8 +1662,9 @@ function buildGeneLabelsSelect(){
     // we can also build the dropdown UI element for source-selection in functional querying
     $("#function_search_category").append(new Option(source, source))
   })
-  // while we're here, we add 'metadata' to the function_search_category dropdown select
+  // while we're here, we add 'user-defined annotations' 'metadata' to the function_search_category dropdown select
   // TODO refactor naming convention to sequence_search_category, bc we're not just querying functions!
+  $('#function_search_category').append(new Option('User-defined', 'User-defined'))
   $('#function_search_category').append(new Option('metadata tag', 'metadata tag'))
   $('#function_search_category').append(new Option('metadata note', 'metadata note'))
 }

From 4e503c82aede6fccc3d7e627966d829f0c9b533b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 21:29:16 -0500
Subject: [PATCH 0938/1020] query user-defined annotations using
 `queryMetadata` function

---
 .../data/interactive/js/genomeview/drawer.js  | 31 +++++++------------
 anvio/data/interactive/js/genomeview/ui.js    |  2 +-
 2 files changed, 13 insertions(+), 20 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 8b64e06a99..17f3b1a2c7 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -828,10 +828,6 @@ GenomeDrawer.prototype.queryFunctions = async function () {
     drawer.queryMetadata(query, type)
     return;
   }
-  if(category == 'User-defined') {
-    drawer.queryUserDefined(query);
-    return;
-  }
 
   this.settings['genomeData']['genomes'].map(genome => {
     for (const [key, value] of Object.entries(genome[1]['genes']['functions'])) {
@@ -941,13 +937,21 @@ GenomeDrawer.prototype.queryMetadata = async function(metadataLabel, type){
   `);
 
   if(!settings['display']['metadata']) {
-    alert(`No hits were found matching ${metadataLabel} in metadata`)
+    alert(`No hits were found matching ${metadataLabel} in ${type == 'annotation' ? 'user-defined annotations' : 'metadata'}`)
     return
   }
   let glowPayload = Array()
   let foundInGenomes = Object()
-  let matches = settings['display']['metadata'].filter( m => m.label.toLowerCase().includes(metadataLabel.toLowerCase()))
-                                               .filter( m => m.type == type )
+  let typeMatches = settings['display']['metadata'].filter(m => m.type == type);
+  let matches;
+  if(type == 'annotation') {
+    matches = typeMatches.filter(m => m.accession.toLowerCase().includes(metadataLabel.toLowerCase()))
+    if(matches.length == 0) {
+      matches = typeMatches.filter(m => m.annotation.toLowerCase().includes(metadataLabel.toLowerCase()))
+    }
+  } else {
+    matches = typeMatches.filter(m => m.label.toLowerCase().includes(metadataLabel.toLowerCase()))
+  }
   matches.map(metadata => {
     glowPayload.push({
       geneID: metadata.gene,
@@ -958,7 +962,7 @@ GenomeDrawer.prototype.queryMetadata = async function(metadataLabel, type){
     }
   })
   if (glowPayload.length < 1) {
-    alert(`No hits were found matching ${metadataLabel} in metadata`)
+    alert(`No hits were found matching ${metadataLabel} in ${type == 'annotation' ? 'user-defined annotations' : 'metadata'}`)
     return
   }
   let lowestStart, highestEnd = null
@@ -987,17 +991,6 @@ GenomeDrawer.prototype.queryMetadata = async function(metadataLabel, type){
   this.glowGenes(glowPayload, true)
 }
 
-GenomeDrawer.prototype.queryUserDefined = async function (query) {
-  if(!settings['display']['metadata'] || settings['display']['metadata'].filter(m => m.type == 'annotation').length == 0) {
-    alert(`No hits were found matching ${query} in user-defined annotations`)
-    return
-  }
-
-  let distinctQueryMatches = Object()
-  let glowPayload = Array()
-  let foundInGenomes = Object()
-}
-
 GenomeDrawer.prototype.showAllTags = function(){
   if(!settings['display']['metadata'] || settings['display']['metadata'].filter(metadata => metadata.type == 'tag').length == 0) {
     alert('No metadata tags currently exist');
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 86d2c207e6..8c2b6d324a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1664,7 +1664,7 @@ function buildGeneLabelsSelect(){
   })
   // while we're here, we add 'user-defined annotations' 'metadata' to the function_search_category dropdown select
   // TODO refactor naming convention to sequence_search_category, bc we're not just querying functions!
-  $('#function_search_category').append(new Option('User-defined', 'User-defined'))
+  $('#function_search_category').append(new Option('User-defined', 'metadata annotation'))
   $('#function_search_category').append(new Option('metadata tag', 'metadata tag'))
   $('#function_search_category').append(new Option('metadata note', 'metadata note'))
 }

From d1c6c32543a293adf1662ee51876370d1b9926d6 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 21:38:28 -0500
Subject: [PATCH 0939/1020] deepdive remove user-defined annotation button

---
 anvio/data/interactive/js/genomeview/ui.js | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 8c2b6d324a..8efbee47d3 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -500,6 +500,7 @@ function showDeepDiveToolTip(event){
     `<h2>Annotations</h2>
     <input id="annotation-deepdive-input" type="text" placeholder="User-defined annotation" size='50'>
     <button id='annotation-add' type='button' class="btn btn-default btn-sm">Add custom annotation</button>
+    <button id='annotation-remove' type='button' class="btn btn-default btn-sm">Remove custom annotation</button>
     <table class="table table-striped">
       <thead id="annotations-deepdive-header">
         <th>Source</th>
@@ -596,7 +597,7 @@ function showDeepDiveToolTip(event){
       $('#annotations-deepdive-header').append('<th>Tag</th><th>Query</th><th>Remove</th>')
     }
     $('#annotations-deepdive-body').append(`
-      <tr>
+      <tr id='user-defined-annotation-row'>
         <td>User_Defined</td>
         <td>${accession}</td>
         <td>${annotation}</td>
@@ -614,6 +615,14 @@ function showDeepDiveToolTip(event){
 
     // add remove button: remove from settings and accessionNum-- 
   })
+  $('#annotation-remove').on('click',function(){
+    if(!settings['display']['metadata']) return;
+
+    $('#user-defined-annotation-row').remove();
+    let index = settings['display']['metadata'].findIndex(m => m.gene == geneID && m.genome == genomeID && m.type == 'annotation');
+    if(index == -1) return;
+    settings['display']['metadata'].splice(index, 1);
+  });
   $('#picker_tooltip').colpick({
     layout: 'hex',
     submit: 0,

From a2bd19b8699240aeae7c6ff6a9d9f0615ebc9a19 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 21:38:39 -0500
Subject: [PATCH 0940/1020] clear annotation input on setting

---
 anvio/data/interactive/js/genomeview/ui.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 8efbee47d3..b846ca3665 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -582,6 +582,7 @@ function showDeepDiveToolTip(event){
   })
   $('#annotation-add').on('click', function(){
     let annotation = $('#annotation-deepdive-input').val();
+    $('#annotation-deepdive-input').val('');
     if(annotation.trim().length == 0) return;
 
     if(!settings['display']['metadata']) settings['display']['metadata'] = [];

From afa82f3d80f81619d3fc1ed41bf774df2936a78f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 21:51:23 -0500
Subject: [PATCH 0941/1020] populate deepdive with user-defined annotation when
 applicable

---
 anvio/data/interactive/js/genomeview/ui.js | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index b846ca3665..b4c0b1a5f0 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -430,6 +430,16 @@ function showDeepDiveToolTip(event){
       </tr>
       `
     })
+    let annotations = settings['display']['metadata'].filter(m => m.genome == genomeID && m.gene == geneID && m.type == 'annotation');
+    if(annotations.length > 0) {
+      totalAnnotationsString += `
+      <tr id="user-defined-annotation-row">
+      <td>User_Defined</td>
+      <td>${annotations[0].accession}</td>
+      <td>${annotations[0].annotation}</td>
+      </tr>
+      `
+    }
   }
 
   $('#deepdive-modal-body').modal('show')

From 58993b4f5cca49e1be37826097aaa15da3caea86 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 22:12:23 -0500
Subject: [PATCH 0942/1020] can add annotations to genes without functions

---
 anvio/data/interactive/js/genomeview/ui.js | 57 ++++++++++++----------
 1 file changed, 30 insertions(+), 27 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index b4c0b1a5f0..55daf78994 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -430,16 +430,16 @@ function showDeepDiveToolTip(event){
       </tr>
       `
     })
-    let annotations = settings['display']['metadata'].filter(m => m.genome == genomeID && m.gene == geneID && m.type == 'annotation');
-    if(annotations.length > 0) {
-      totalAnnotationsString += `
-      <tr id="user-defined-annotation-row">
-      <td>User_Defined</td>
-      <td>${annotations[0].accession}</td>
-      <td>${annotations[0].annotation}</td>
-      </tr>
-      `
-    }
+  }
+  let annotations = settings['display']['metadata'].filter(m => m.genome == genomeID && m.gene == geneID && m.type == 'annotation');
+  if(annotations.length > 0) {
+    totalAnnotationsString += `
+    <tr id="user-defined-annotation-row">
+    <td>User_Defined</td>
+    <td>${annotations[0].accession}</td>
+    <td>${annotations[0].annotation}</td>
+    </tr>
+    `
   }
 
   $('#deepdive-modal-body').modal('show')
@@ -499,28 +499,31 @@ function showDeepDiveToolTip(event){
       <button   id='metadata-gene-note-save' type='button' class="btn btn-default btn-sm">Save Note</button>
       <br>
       <table class="table table-striped" id="metadata-deepdive-table">
-        <thead id="metadata-deepdive-header">${includeMetadataHeader ? '<th>Tag</th><th>Query</th><th>Remove</th>' : ''}</thead>
+        <thead id="metadata-deepdive-header">${includeMetadataHeader ? '<tr><th>Tag</th><th>Query</th><th>Remove</th></tr>' : ''}</thead>
         <tbody id="metadata-body">
          ${totalMetadataString}
         </tbody>
       </table>
   </div>
 
-  ${event.target.functions ?
-    `<h2>Annotations</h2>
-    <input id="annotation-deepdive-input" type="text" placeholder="User-defined annotation" size='50'>
-    <button id='annotation-add' type='button' class="btn btn-default btn-sm">Add custom annotation</button>
-    <button id='annotation-remove' type='button' class="btn btn-default btn-sm">Remove custom annotation</button>
-    <table class="table table-striped">
-      <thead id="annotations-deepdive-header">
-        <th>Source</th>
-        <th>Accession</th>
-        <th>Annotation</th> 
-      </thead>
-      <tbody id="annotations-deepdive-body">
-        ${totalAnnotationsString}
-      </tbody>
-    </table>` : ''}
+  <h2>Annotations</h2>
+  <input id="annotation-deepdive-input" type="text" placeholder="User-defined annotation" size='50'>
+  <button id='annotation-add' type='button' class="btn btn-default btn-sm">Add custom annotation</button>
+  <button id='annotation-remove' type='button' class="btn btn-default btn-sm">Remove custom annotation</button>
+  <table class="table table-striped">
+    <thead id="annotations-deepdive-header">
+      ${totalAnnotationsString.length == 0 ? '' : `
+        <tr>
+          <th>Source</th>
+          <th>Accession</th>
+          <th>Annotation</th> 
+        </tr>
+      `}
+    </thead>
+    <tbody id="annotations-deepdive-body">
+      ${totalAnnotationsString}
+    </tbody>
+  </table>
   `)
 
   if(geneNote){
@@ -605,7 +608,7 @@ function showDeepDiveToolTip(event){
     let accession = 'UD_' + "0".repeat(5-settings['display']['accessionNum'].toString().length) + settings['display']['accessionNum'];
 
     if(!event.target.functions && settings['display']['metadata'].filter(metadata => metadata.genome == genomeID && metadata.gene == geneID && metadata.type == 'annotation').length == 0) {
-      $('#annotations-deepdive-header').append('<th>Tag</th><th>Query</th><th>Remove</th>')
+      $('#annotations-deepdive-header').append('<tr><th>Source</th><th>Accession</th><th>Annotation</th></tr>')
     }
     $('#annotations-deepdive-body').append(`
       <tr id='user-defined-annotation-row'>

From a2c7deed302ac81f87bbf899f7d461afc6e54f61 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 22:12:34 -0500
Subject: [PATCH 0943/1020] remove annotation header if no more left

---
 anvio/data/interactive/js/genomeview/ui.js | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 55daf78994..05630ba67b 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -636,6 +636,8 @@ function showDeepDiveToolTip(event){
     let index = settings['display']['metadata'].findIndex(m => m.gene == geneID && m.genome == genomeID && m.type == 'annotation');
     if(index == -1) return;
     settings['display']['metadata'].splice(index, 1);
+
+    if($('#annotations-deepdive-body').children().length == 0) $('#annotations-deepdive-header').empty();
   });
   $('#picker_tooltip').colpick({
     layout: 'hex',

From f01cefa09b47d053b4585befa6aff0e1537bf7a5 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 22:15:16 -0500
Subject: [PATCH 0944/1020] show user-defined annotations in mouseover panel

---
 anvio/data/interactive/js/genomeview/ui.js | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 05630ba67b..40f388d28a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -692,6 +692,16 @@ function showToolTip(event){
       `
     })
   }
+  let user_defined = settings['display']['metadata'].filter(m => m.genome == event.target.genomeID && m.gene == event.target.geneID && m.type == 'annotation');
+  if(user_defined.length > 0) {
+    totalAnnotationsString += `
+    <tr id="user-defined-annotation-row">
+    <td>User_Defined</td>
+    <td>${user_defined[0].accession}</td>
+    <td>${user_defined[0].annotation}</td>
+    </tr>
+    `
+  }
   $('#mouseover-panel-table-body').append(`
     <tr>
       <td> ${event.target.geneID}</td>

From b320f368a21fb9441a4ba15bf517c7efd737d68b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 22:33:41 -0500
Subject: [PATCH 0945/1020] fix

---
 anvio/data/interactive/js/genomeview/ui.js | 20 +++++++++++---------
 1 file changed, 11 insertions(+), 9 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 40f388d28a..596fd946fe 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -692,15 +692,17 @@ function showToolTip(event){
       `
     })
   }
-  let user_defined = settings['display']['metadata'].filter(m => m.genome == event.target.genomeID && m.gene == event.target.geneID && m.type == 'annotation');
-  if(user_defined.length > 0) {
-    totalAnnotationsString += `
-    <tr id="user-defined-annotation-row">
-    <td>User_Defined</td>
-    <td>${user_defined[0].accession}</td>
-    <td>${user_defined[0].annotation}</td>
-    </tr>
-    `
+  if(settings['display']['metadata']) {
+    let user_defined = settings['display']['metadata'].filter(m => m.genome == event.target.genomeID && m.gene == event.target.geneID && m.type == 'annotation');
+    if(user_defined.length > 0) {
+      totalAnnotationsString += `
+      <tr id="user-defined-annotation-row">
+      <td>User_Defined</td>
+      <td>${user_defined[0].accession}</td>
+      <td>${user_defined[0].annotation}</td>
+      </tr>
+      `
+    }
   }
   $('#mouseover-panel-table-body').append(`
     <tr>

From 8b2119e510cf9ea8c12050154efe3ab9e39fc29d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 22:33:58 -0500
Subject: [PATCH 0946/1020] show all user defined annotations btn in query
 panel

---
 anvio/data/interactive/genomeview.html        |  1 +
 .../data/interactive/js/genomeview/drawer.js  | 41 +++++++++++++++++++
 2 files changed, 42 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index dd6223117d..07f2487d4b 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -505,6 +505,7 @@ <h4 class="modal-title">Lasso</h4>
             <button onclick='drawer.queryFunctions()'>Let's Go!</button>
             <button onclick='drawer.removeAllGeneGlows()'>Clear All Gene Glows</button>
             <button onclick='drawer.showAllTags()'>Show All Metadata Tags</button>
+            <button onclick='drawer.showAllUserDefined()'>Show All User-Defined Annotations</button>
             <button onclick='$("#query-results-head, #query-results-table").empty()'>Clear Results</button>
           </td>
           <br>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 17f3b1a2c7..9b55c1c916 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -1029,6 +1029,47 @@ GenomeDrawer.prototype.showAllTags = function(){
   });
 }
 
+GenomeDrawer.prototype.showAllUserDefined = function(){
+  if(!settings['display']['metadata'] || settings['display']['metadata'].filter(metadata => metadata.type == 'annotation').length == 0) {
+    alert('No user-defined annotations currently exist');
+    return;
+  }
+
+  $('#query-results-table').empty();
+  $('#query-results-head').empty().append(`
+    <tr>
+      <th>Gene ID</th>
+      <th>Genome</th>
+      <th>Start</th>
+      <th>Stop</th>
+      <th>Go To</th>
+      <th>Remove</th>
+    </tr>
+  `);
+
+  settings['display']['metadata'].filter(metadata => metadata.type == 'annotation').forEach(annotation => {
+    let genome = this.settings['genomeData']['genomes'].filter(genome => genome[0] == annotation.genome)
+    let start = genome[0][1]['genes']['gene_calls'][annotation.gene]['start']
+    let end = genome[0][1]['genes']['gene_calls'][annotation.gene]['stop']
+
+    $('#query-results-table').append(`
+      <tr>
+        <td>${annotation.gene}</td>
+        <td>${annotation.genome}</td>
+        <td>${start}</td>
+        <td>${end}</td>
+        <td><button onclick="goToGene('${annotation.genome}',${annotation.gene},${start},${end})">Go To</button</td>
+        <td><button onclick="$(this).closest('tr').remove(); removeAnnotation('${annotation.genome}',${annotation.gene})">Remove Tag</button</td>
+      </tr>
+    `)
+  });
+
+  removeAnnotation = (genomeID, geneID) => {
+    let index = settings['display']['metadata'].findIndex(m => m.gene == geneID && m.genome == genomeID && m.type == 'annotation');
+    settings['display']['metadata'].splice(index, 1);
+  }
+}
+
 GenomeDrawer.prototype.setInitialZoom = function(){
     let start = 0
     let stop = globalGenomeMax > 35000 ? 35000 : globalGenomeMax

From 52f836b759f0f39e4953427f31bca0321fc862e2 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 22:36:23 -0500
Subject: [PATCH 0947/1020] use arrow functions

---
 anvio/data/interactive/js/genomeview/drawer.js | 8 ++++++++
 anvio/data/interactive/js/genomeview/ui.js     | 8 --------
 2 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 9b55c1c916..fe7920fadd 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -1027,6 +1027,14 @@ GenomeDrawer.prototype.showAllTags = function(){
       </tr>
     `)
   });
+
+  removeTagFromQueryTable = (genomeID, geneID, label) => {
+    let index = settings['display']['metadata'].findIndex(m => m.label == label && m.gene == geneID && m.genome == genomeID && m.type == 'tag');
+    settings['display']['metadata'].splice(index, 1);
+    if($('#query-results-table').children().length == 0) {
+      $('#query-results-head').empty();
+    }
+  }
 }
 
 GenomeDrawer.prototype.showAllUserDefined = function(){
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 596fd946fe..83a25e261a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1033,14 +1033,6 @@ function addMetadataTag(genomeID, geneID, label) {
   return true;
 }
 
-function removeTagFromQueryTable(genomeID, geneID, label) {
-  let index = settings['display']['metadata'].findIndex(m => m.label == label && m.gene == geneID && m.genome == genomeID && m.type == 'tag');
-  settings['display']['metadata'].splice(index, 1);
-  if($('#query-results-table').children().length == 0) {
-    $('#query-results-head').empty();
-  }
-}
-
 function gatherTabularModalSelectedItems(action){
   let targetedGenes = []
   let curr_genome = $('.active')[1].id;

From eac55f7374649f94fe6f0d8a2838a5962a310872 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 22:50:49 -0500
Subject: [PATCH 0948/1020] add annotation to selected in viewport

---
 anvio/data/interactive/genomeview.html     |  6 ++++-
 anvio/data/interactive/js/genomeview/ui.js | 31 ++++++++++++++++++++++
 2 files changed, 36 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 07f2487d4b..b232aaa9df 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -128,9 +128,13 @@ <h4 class="modal-title">Genomic Data Viewport</h4>
               </div>
               <div id="tabular-modal-sequence-checkboxes"></div>
               <div>
-                <input type='text' placeholder='metadata tag' id='metadata-tag-multiselect' />
+                <input type='text' placeholder='Metadata tag' id='metadata-tag-multiselect' />
                 <button class="btn btn-default" onclick="gatherTabularModalSelectedItems('metadata')">Add metadata tag to selected</button>
               </div>
+              <div>
+                <input type='text' placeholder='User-defined annotation' id='metadata-annotation-multiselect' />
+                <button class="btn btn-default" onclick="gatherTabularModalSelectedItems('annotation')">Add user-defined annotation to selected</button>
+              </div>
               <div>
                 <div id="multiselect-picker-tabular-modal" class="colorpicker" color="#808080"
                   background-color="#808080" style="background-color: #808080; margin-right:16px; margin-left:16px">
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 83a25e261a..4be8096bc6 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1033,6 +1033,29 @@ function addMetadataTag(genomeID, geneID, label) {
   return true;
 }
 
+function addAnnotation(genomeID, geneID, label){
+  // called from the viewport menu
+
+  if(label.trim().length == 0) return false;
+  let annotation = settings['display']['metadata'] ? settings['display']['metadata'].filter(m => m.genome == genomeID && m.gene == geneID && m.type == 'annotation') : []
+  if(annotation.length > 0) {
+    toastr.warning(`'Cannot add more than one user-defined annotation to gene ${geneID} of ${genomeID}'`);
+    return false;
+  }
+
+  if(!settings['display']['metadata']) settings['display']['metadata'] = []
+  settings['display']['metadata'].push({
+    genome : genomeID,
+    gene   : geneID,
+    accession : 'UD_' + "0".repeat(5-settings['display']['accessionNum'].toString().length) + settings['display']['accessionNum'],
+    annotation : label,
+    type   : 'annotation'
+  })
+  settings['display']['accessionNum']++;
+
+  return true;
+}
+
 function gatherTabularModalSelectedItems(action){
   let targetedGenes = []
   let curr_genome = $('.active')[1].id;
@@ -1074,6 +1097,14 @@ function gatherTabularModalSelectedItems(action){
       });
       $('#metadata-tag-multiselect').val('');
       break;
+    case 'annotation':
+      let annotation = $('#metadata-annotation-multiselect').val();
+      if(annotation.trim().length == 0) return;
+      targetedGenes.forEach(gene => {
+        addAnnotation(gene['genomeID'], gene['geneID'], annotation);
+      });
+      $('#metadata-annotation-multiselect').val('');
+      break;
     default:
       break;
   }

From d5b4f70c8391cd67bdb426b060efa226feceaf4f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 23:02:56 -0500
Subject: [PATCH 0949/1020] use the same accession value for the identical
 annotation descriptions

---
 anvio/data/interactive/js/genomeview/ui.js | 18 +++++++++++++++++-
 1 file changed, 17 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 4be8096bc6..c450b92128 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -606,6 +606,13 @@ function showDeepDiveToolTip(event){
     }
 
     let accession = 'UD_' + "0".repeat(5-settings['display']['accessionNum'].toString().length) + settings['display']['accessionNum'];
+    if(settings['display']['metadata']) {
+      let same_annotations = settings['display']['metadata'].filter(m => m.type == 'annotation' && m.annotation == annotation);
+      if(same_annotations.length > 0) {
+        accession = same_annotations[0].accession;
+        settings['display']['accessionNum']--; // compensate for increment so we stay at the same accession number
+      }
+    }
 
     if(!event.target.functions && settings['display']['metadata'].filter(metadata => metadata.genome == genomeID && metadata.gene == geneID && metadata.type == 'annotation').length == 0) {
       $('#annotations-deepdive-header').append('<tr><th>Source</th><th>Accession</th><th>Annotation</th></tr>')
@@ -1043,11 +1050,20 @@ function addAnnotation(genomeID, geneID, label){
     return false;
   }
 
+  let accession = 'UD_' + "0".repeat(5-settings['display']['accessionNum'].toString().length) + settings['display']['accessionNum'];
+  if(settings['display']['metadata']) {
+    let same_annotations = settings['display']['metadata'].filter(m => m.type == 'annotation' && m.annotation == label);
+    if(same_annotations.length > 0) {
+      accession = same_annotations[0].accession;
+      settings['display']['accessionNum']--; // compensate for increment so we stay at the same accession number
+    }
+  }
+
   if(!settings['display']['metadata']) settings['display']['metadata'] = []
   settings['display']['metadata'].push({
     genome : genomeID,
     gene   : geneID,
-    accession : 'UD_' + "0".repeat(5-settings['display']['accessionNum'].toString().length) + settings['display']['accessionNum'],
+    accession : accession,
     annotation : label,
     type   : 'annotation'
   })

From 89d2b2123b32f1c3910358091bdb64b720599c14 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 23:27:43 -0500
Subject: [PATCH 0950/1020] hook in user-defined annotations to gene labels!

---
 anvio/data/interactive/js/genomeview/drawer.js | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index fe7920fadd..2872dcb65f 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -219,10 +219,9 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
 
       if (source == 'default') {
         return `${geneID}`
-      }
-      if (source == 'user') {
-        if (this.settings['display']?.hasOwnProperty('gene-labels')) {
-          return this.settings['display']['gene-labels'][genomeID][geneID]
+      } else if (source == 'user') {
+        if (this.settings['display']?.['metadata']?.filter(m => m.genome == genomeID && m.gene == geneID && m.type == 'annotation')?.length > 0) {
+          return this.settings['display']['metadata'].filter(m => m.genome == genomeID && m.gene == geneID && m.type == 'annotation')[0].annotation;
         } else {
           return ''
         }

From 0a0b2a5c46a149bd2364eb844f11a510cfe7836e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 23:28:17 -0500
Subject: [PATCH 0951/1020] update `redrawSingleGenome`

---
 anvio/data/interactive/js/genomeview/drawer.js | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 2872dcb65f..1fcf89bac4 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -783,9 +783,16 @@ GenomeDrawer.prototype.setGenomeLabelSize = function (newSize) {
 }
 
 GenomeDrawer.prototype.redrawSingleGenome = function (genomeID) {
+  if(!$('#' + genomeID + '-show').is(':checked')) return;
+
   canvas.getObjects().filter(o => o.groupID == genomeID).forEach(obj => canvas.remove(obj));
   let idx = this.settings['genomeData']['genomes'].findIndex(obj => obj[0] == genomeID);
-  this.addLayers(idx);
+  let orderIndex = idx;
+  for(genome of this.settings['genomeData']['genomes']) {
+    if(genome[0] == genomeID) break;
+    if(!$('#' + genome[0] + '-show').is(':checked')) orderIndex--;
+  }
+  this.addLayers(idx, orderIndex);
   checkGeneLabels();
 }
 

From bbad57c28875a342fade40bd98657686d002002d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 23:34:34 -0500
Subject: [PATCH 0952/1020] redraw upon adding/removing annotation

---
 anvio/data/interactive/js/genomeview/drawer.js | 1 +
 anvio/data/interactive/js/genomeview/ui.js     | 5 ++++-
 2 files changed, 5 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 1fcf89bac4..3bdcda52cb 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -1081,6 +1081,7 @@ GenomeDrawer.prototype.showAllUserDefined = function(){
   removeAnnotation = (genomeID, geneID) => {
     let index = settings['display']['metadata'].findIndex(m => m.gene == geneID && m.genome == genomeID && m.type == 'annotation');
     settings['display']['metadata'].splice(index, 1);
+    if($('#gene_label_source').val() == 'user') this.redrawSingleGenome(genomeID);
   }
 }
 
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index c450b92128..01905dc5f0 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -634,7 +634,7 @@ function showDeepDiveToolTip(event){
     });
     settings['display']['accessionNum']++;
 
-    // add remove button: remove from settings and accessionNum-- 
+    if($('#gene_label_source').val() == 'user') drawer.redrawSingleGenome(genomeID);
   })
   $('#annotation-remove').on('click',function(){
     if(!settings['display']['metadata']) return;
@@ -645,6 +645,8 @@ function showDeepDiveToolTip(event){
     settings['display']['metadata'].splice(index, 1);
 
     if($('#annotations-deepdive-body').children().length == 0) $('#annotations-deepdive-header').empty();
+
+    if($('#gene_label_source').val() == 'user') drawer.redrawSingleGenome(genomeID);
   });
   $('#picker_tooltip').colpick({
     layout: 'hex',
@@ -1120,6 +1122,7 @@ function gatherTabularModalSelectedItems(action){
         addAnnotation(gene['genomeID'], gene['geneID'], annotation);
       });
       $('#metadata-annotation-multiselect').val('');
+      if($('#gene_label_source').val() == 'user') drawer.draw();
       break;
     default:
       break;

From 5d1f0f3093bbb290faccf9b94fb45c270666db77 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 4 May 2023 23:37:51 -0500
Subject: [PATCH 0953/1020] empty query results on load state

---
 anvio/data/interactive/js/genomeview/main.js | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 5b17da9888..087e709b6f 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -578,6 +578,9 @@ function loadAll(loadType) {
     buildGeneLabelsSelect()
   }
 
+  $('#query-results-table').empty();
+  $('#query-results-head').empty();
+
   $('#gene_label_color').css('background-color', settings['display']['colors']['gene-label']);
   $('#gene_label_color').attr('color', settings['display']['colors']['gene-label']);
 

From 37e197e061a46d9002cf7bcb1ae12a6e72bc3285 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 5 May 2023 16:46:27 -0500
Subject: [PATCH 0954/1020] show all metadata notes

---
 anvio/data/interactive/genomeview.html        |  3 +-
 .../data/interactive/js/genomeview/drawer.js  | 30 +++++++++----------
 2 files changed, 17 insertions(+), 16 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index b232aaa9df..54f6813c86 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -508,7 +508,8 @@ <h4 class="modal-title">Lasso</h4>
           <td>
             <button onclick='drawer.queryFunctions()'>Let's Go!</button>
             <button onclick='drawer.removeAllGeneGlows()'>Clear All Gene Glows</button>
-            <button onclick='drawer.showAllTags()'>Show All Metadata Tags</button>
+            <button onclick='drawer.showAllMetadata("tag")'>Show All Tags</button>
+            <button onclick='drawer.showAllMetadata("note")'>Show All Notes</button>
             <button onclick='drawer.showAllUserDefined()'>Show All User-Defined Annotations</button>
             <button onclick='$("#query-results-head, #query-results-table").empty()'>Clear Results</button>
           </td>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 3bdcda52cb..9b72b88cfb 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -997,16 +997,16 @@ GenomeDrawer.prototype.queryMetadata = async function(metadataLabel, type){
   this.glowGenes(glowPayload, true)
 }
 
-GenomeDrawer.prototype.showAllTags = function(){
-  if(!settings['display']['metadata'] || settings['display']['metadata'].filter(metadata => metadata.type == 'tag').length == 0) {
-    alert('No metadata tags currently exist');
+GenomeDrawer.prototype.showAllMetadata = function(type){
+  if(!settings['display']['metadata'] || settings['display']['metadata'].filter(metadata => metadata.type == type).length == 0) {
+    alert(`No metadata ${type}s currently exist`);
     return;
   }
 
   $('#query-results-table').empty();
   $('#query-results-head').empty().append(`
     <tr>
-      <th>Tag</th>
+      ${type == 'tag' ? '<th>Tag</th>' : ''}
       <th>Gene ID</th>
       <th>Genome</th>
       <th>Start</th>
@@ -1016,26 +1016,26 @@ GenomeDrawer.prototype.showAllTags = function(){
     </tr>
   `);
 
-  settings['display']['metadata'].filter(metadata => metadata.type == 'tag').forEach(tag => {
-    let genome = this.settings['genomeData']['genomes'].filter(genome => genome[0] == tag.genome)
-    let start = genome[0][1]['genes']['gene_calls'][tag.gene]['start']
-    let end = genome[0][1]['genes']['gene_calls'][tag.gene]['stop']
+  settings['display']['metadata'].filter(metadata => metadata.type == type).forEach(metadata => {
+    let genome = this.settings['genomeData']['genomes'].filter(genome => genome[0] == metadata.genome)
+    let start = genome[0][1]['genes']['gene_calls'][metadata.gene]['start']
+    let end = genome[0][1]['genes']['gene_calls'][metadata.gene]['stop']
 
     $('#query-results-table').append(`
       <tr>
-        <td>${tag.label}</td>
-        <td>${tag.gene}</td>
-        <td>${tag.genome}</td>
+        ${type == 'tag' ? '<td>' + metadata.label + '</td>' : ''}
+        <td>${metadata.gene}</td>
+        <td>${metadata.genome}</td>
         <td>${start}</td>
         <td>${end}</td>
-        <td><button onclick="goToGene('${tag.genome}',${tag.gene},${start},${end})">Go To</button</td>
-        <td><button onclick="$(this).closest('tr').remove(); removeTagFromQueryTable('${tag.genome}',${tag.gene},'${tag.label}')">Remove Tag</button</td>
+        <td><button onclick="goToGene('${metadata.genome}',${metadata.gene},${start},${end})">Go To</button</td>
+        <td><button onclick="$(this).closest('tr').remove(); removeMetadataFromQueryTable('${metadata.genome}',${metadata.gene},'${type=='tag' ? metadata.label : null}')">Remove ${type}</button</td>
       </tr>
     `)
   });
 
-  removeTagFromQueryTable = (genomeID, geneID, label) => {
-    let index = settings['display']['metadata'].findIndex(m => m.label == label && m.gene == geneID && m.genome == genomeID && m.type == 'tag');
+  removeMetadataFromQueryTable = (genomeID, geneID, label=null) => {
+    let index = settings['display']['metadata'].findIndex(m => (type=='tag' ? m.label == label : true) && m.gene == geneID && m.genome == genomeID && m.type == type);
     settings['display']['metadata'].splice(index, 1);
     if($('#query-results-table').children().length == 0) {
       $('#query-results-head').empty();

From 90f74818475b390e5f655c0119f89c44981568f7 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 7 May 2023 20:12:15 -0500
Subject: [PATCH 0955/1020] xDisps -> nt_disps; start new suite of `utils` fns
 for genome sliding

---
 .../data/interactive/js/genomeview/drawer.js  | 40 ++++++++++---------
 anvio/data/interactive/js/genomeview/main.js  | 14 +++----
 .../interactive/js/genomeview/navigation.js   |  6 +--
 anvio/data/interactive/js/genomeview/ui.js    |  2 +-
 anvio/data/interactive/js/genomeview/utils.js | 20 +++++++---
 5 files changed, 47 insertions(+), 35 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 9b72b88cfb..852b3518ed 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -95,9 +95,10 @@ GenomeDrawer.prototype.addGroupBorder = function (yOffset, orderIndex, genomeInd
 
   if(maxGroupSize == 1) return;
 
-  let top = yOffset + marginTop - 10 + (orderIndex * groupMargin)
-  let left = -20
   let genomeID = this.settings['genomeData']['genomes'][genomeIndex][0]
+
+  let top = yOffset + marginTop - 10 + (orderIndex * groupMargin)
+  let left = -20 + nt_disps[genomeID]*scaleFactor
   let width = genomeMax[genomeID]*scaleFactor + 50
   let height = spacing + 50
 
@@ -136,11 +137,12 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
   let genomeID = genome[0];
   let y = marginTop + yOffset + layerPos + (layerHeight / 2) + (orderIndex * groupMargin) // render arrows in the center of genome layer's allotted vertical space
 
-  let [start, stop] = percentScale ? getRenderXRangeForFrac() : renderWindow.map(x => x * scaleFactor + xDisps[genomeID]);
-  start = clamp(start > xDisps[genomeID] ? start : xDisps[genomeID], calcXBoundsForGenome(genomeID)[0], calcXBoundsForGenome(genomeID)[1]);
+  // get x-range for this genome
+  let [start, stop] = percentScale ? getRenderXRangeForFrac() : getRenderXRangeForGenome(genomeID)
+  start = clamp(start > nt_disps[genomeID]*scaleFactor ? start : nt_disps[genomeID]*scaleFactor, calcXBoundsForGenome(genomeID)[0], calcXBoundsForGenome(genomeID)[1]);
   stop = clamp(stop, calcXBoundsForGenome(genomeID)[0], calcXBoundsForGenome(genomeID)[1]);
-
-  // line
+  
+  // genome line
   let lineObj = new fabric.Line([start, 0, stop, 0], {
     id: 'genomeLine',
     groupID: genomeID,
@@ -180,7 +182,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
         fontSize: settings['display']['gene-label-size'],
         fontFamily: 'sans-serif',
         angle: settings['display']['gene-text-position'] == "above" ? -1 * settings['display']['gene-text-angle'] : 0,
-        //left: xDisps[genomeID] + (((gene.start + gene.stop) / 2) - $('#gene_label').val()*2) * scaleFactor,
+        //left: nt_disps[genomeID] + (((gene.start + gene.stop) / 2) - $('#gene_label').val()*2) * scaleFactor,
         fill: $('#gene_label_color').attr('color'),
         scaleX: 0.5,
         scaleY: 0.5,
@@ -193,7 +195,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
         hoverCursor: 'text'
       });
       
-      label.left = xDisps[genomeID] + (((gene.start + gene.stop) / 2) - label.width/2) * scaleFactor;
+      label.left = nt_disps[genomeID]*scaleFactor + (((gene.start + gene.stop) / 2) - label.width/2) * scaleFactor;
 
       if (this.settings['display']['arrow-style'] == 3) {
         label.set({
@@ -256,7 +258,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
       id: 'setLabel',
       groupID: genomeID,
       fontSize: settings['display']['gene-label-size'],
-      left: xDisps[genomeID] + x_set_label * scaleFactor,
+      left: nt_disps[genomeID]*scaleFactor + x_set_label * scaleFactor,
       top: y_set_label,
       scaleX: 0.5,
       scaleY: 0.5,
@@ -289,7 +291,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
 
   let maxDataLayerValue = 0
   let startingTop = marginTop + yOffset + layerPos + (orderIndex * groupMargin)
-  let startingLeft = xDisps[genomeID]
+  let startingLeft = nt_disps[genomeID]*scaleFactor
 
   let globalPathDirective = [`L ${startingLeft} ${layerHeight}`]
   let layer_end_final_coordinates
@@ -361,7 +363,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
  */
 GenomeDrawer.prototype.buildGroupRulerLayer = function (genomeID, layerPos, layerHeight, orderIndex) {
   let startingTop = marginTop + yOffset + layerPos + (orderIndex * groupMargin)
-  let startingLeft = xDisps[genomeID]
+  let startingLeft = nt_disps[genomeID]*scaleFactor
   // let layerHeight = (spacing / maxGroupSize)
 
   // split ruler into several objects to avoid performance cost of large object pixel size
@@ -537,7 +539,7 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
     geneID: geneID,
     genomeID: genomeID,
     top: style == 3 ? y - 17 : y - 11, // TODO update this offset to reflect genome layer height (we want to render this arrow in the middle of its allocated height)
-    left: xDisps[genomeID] + (1.5 + gene.start) * scaleFactor,
+    left: (1.5 + gene.start + nt_disps[genomeID]) * scaleFactor,
     fill: color,
     stroke: 'gray',
     strokeWidth: 1.5
@@ -580,8 +582,8 @@ GenomeDrawer.prototype.shadeGeneClusters = function (geneClusters, colors) {
       if (g1[1] < l1 && g2[1] < l2) continue;
       if (g1[0] > r1 && g2[0] > r2) break;
 
-      g1 = g1.map(val => val * scaleFactor + xDisps[genomeID_A]);
-      g2 = g2.map(val => val * scaleFactor + xDisps[genomeID_B]);
+      g1 = g1.map(val => (val + nt_disps[genomeID_A]) * scaleFactor)
+      g2 = g2.map(val => (val + nt_disps[genomeID_B]) * scaleFactor);
 
       /* TODO: implementation for multiple genes of the same genome in the same gene cluster */
       var path = new fabric.Path("M " + g1[0] + " " + y + " L " + g1[1] + " " + y + " L " + g2[1] + " " + (y + spacing) + " L " + g2[0] + " " + (y + spacing) + " z", {
@@ -674,10 +676,12 @@ GenomeDrawer.prototype.alignToCluster = function (gc) {
       let geneMids = getGenePosForGenome(genomeData.genomes[i][0], alignToGC);
       if (geneMids == null) continue;
       let geneMid = geneMids[0]; /* TODO: implementation for multiple matching gene IDs */
-      let shift = scaleFactor * (targetGeneMid - geneMid) + (xDisps[firstGenomeID] - xDisps[gid]);
+
+      let nt_shift = targetGeneMid - geneMid + nt_disps[firstGenomeID] - nt_disps[gid];
+      let x_shift = nt_shift * scaleFactor;
       let objs = canvas.getObjects().filter(obj => obj.groupID == gid);
-      for (o of objs) o.left += shift;
-      xDisps[gid] += shift;
+      for (o of objs) o.left += x_shift;
+      nt_disps[gid] += nt_shift;
       canvas.setViewportTransform(canvas.viewportTransform);
 
       // clear and redraw shades
@@ -713,7 +717,7 @@ GenomeDrawer.prototype.showAllADLPts = function () {
 
 GenomeDrawer.prototype.alignRulers = function () {
   for (genome of this.settings['genomeData']['genomes']) {
-    xDisps[genome[0]] = 0;
+    nt_disps[genome[0]] = 0;
   }
   percentScale = false;
   drawScale();
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 087e709b6f..259acb90d0 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -30,7 +30,7 @@ var current_state_name = null
 var alignToGC = null;
 var stateData = {};
 var settings = {} // packaged obj sent off to GenomeDrawer
-var xDisps = {};
+var nt_disps = {};
 var renderWindow = []; 
 var genomeMax = {};
 var globalGenomeMax;
@@ -316,7 +316,7 @@ function serializeSettings() {
   state['display']['nt_window'] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())] : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
   state['display']['scaleFactor'] = scaleFactor;
   state['display']['percentScale'] = percentScale;
-  state['display']['xDisps'] = xDisps;
+  state['display']['nt_disps'] = nt_disps;
   state['display']['thresh-count-gene-colors'] = $('#thresh_count').val() // min # occurences of annotation for filtering gene color table
   state['display']['adlPtsPerLayer'] = $('#adl_pts_per_layer').val() // number of data points to be subsampled per ADL. TODO: more meaningful default?
   state['display']['user-defined-colors'] = $('#user_defined_colors').is(':checked')
@@ -418,8 +418,8 @@ function processState(stateName, stateData) {
     settings['display']['viewportTransform'] = stateData['display']['viewportTransform']
   }
 
-  if(stateData?.['display']?.['xDisps']) {
-    settings['display']['xDisps'] = stateData['display']['xDisps']
+  if(stateData?.['display']?.['nt_disps']) {
+    settings['display']['nt_disps'] = stateData['display']['nt_disps']
   }
 
   if(stateData?.['display']?.['accessionNum']) {
@@ -556,11 +556,11 @@ function loadAll(loadType) {
 
   $('.container').css({ 'height': VIEWER_HEIGHT + 'px', 'overflow-y': 'auto' })
 
-  if(settings?.['display']?.['xDisps']) {
-    xDisps = settings?.['display']['xDisps'];
+  if(settings?.['display']?.['nt_disps']) {
+    nt_disps = settings?.['display']['nt_disps'];
   } else {
     for (genome of settings['genomeData']['genomes']) {
-      xDisps[genome[0]] = 0;
+      nt_disps[genome[0]] = 0;
     }
   }
 
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index d17dce59a3..3eb63ed217 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -215,7 +215,7 @@ function moveTo(start, stop) {
   // let pad = 0;
   // if(percentScale) {
   //   let selected_genome = "REPLACE_WITH_CURRENTLY_SELECTED_GENOME_ID"; // TEMPORARY - REPLACE 
-  //   pad = xDisps[selected_genome];
+  //   pad = nt_disps[selected_genome];
   // }
 
   // zoom + pan viewport to new location
@@ -287,8 +287,8 @@ function viewCluster(gc) {
       genes.push({genomeID:genome[0],geneID:targetGeneID});
       if(first) {
         geneMid = targetGene.start + (targetGene.stop - targetGene.start) / 2;
-        canvas.absolutePan({x: scaleFactor*geneMid + xDisps[genome[0]] - canvas.getWidth()/2, y: 0});
-        canvas.viewportTransform[4] = clamp(canvas.viewportTransform[4], canvas.getWidth() - genomeMax[genome[0]]*scaleFactor - xDisps[genome[0]] - 125, 125);
+        canvas.absolutePan({x: scaleFactor*(geneMid + nt_disps[genome[0]]) - canvas.getWidth()/2, y: 0});
+        canvas.viewportTransform[4] = clamp(canvas.viewportTransform[4], canvas.getWidth() - (genomeMax[genome[0]] - nt_disps[genome[0]])*scaleFactor - 125, 125);
         firstGenomeID = genome[0];
         first = false;
       }
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 01905dc5f0..15d4c1c901 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -98,7 +98,7 @@ function setCanvasListeners(){
     canvas.getObjects().filter(obj => obj.groupID == gid).forEach(o => {
       if (o !== opt.target) o.left += delta;
     });
-    xDisps[gid] += delta;
+    nt_disps[gid] += delta/scaleFactor;
 
     this.setViewportTransform(this.viewportTransform);
     setPercentScale();
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 78615b47c7..25a2c2e220 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -159,13 +159,21 @@ function getRenderXRangeForFrac() {
 }
 
 /* 
- *  @returns nt range of a specific genome (since they can be dragged) for a given proportional range 
- *  - used to determine which gene arrows to draw for a given genome while proportional scale is activated
+ *  @returns x-range of a specific genome based on its current nt range (since they can be dragged)
+ *  - used to draw genome line, ruler
+ */
+function getRenderXRangeForGenome(genomeID) {
+  return renderWindow.map(pos => Math.floor((pos+nt_disps[genomeID])*scaleFactor));
+}
+
+/* 
+ *  @returns nt range of a specific genome that appears in the current render window (since they can be dragged)
+ *  - used to determine which gene arrows to draw for a given genome while genome sliding is activated
  */
 function getRenderNTRange(genomeID) {
-  if(!percentScale) return renderWindow;
-  //let [l,r] = calcXBounds();
-  let [start, end] = getRenderXRangeForFrac().map(x => (x-xDisps[genomeID])/scaleFactor);
+  if(!slidingActive) return renderWindow;
+
+  let [start, end] = renderWindow.map(pos => Math.floor(pos - nt_disps[genomeID]));
   return [clamp(start,0,genomeMax[genomeID]), clamp(end,0,genomeMax[genomeID])];
 }
 
@@ -174,7 +182,7 @@ function getRenderNTRange(genomeID) {
  *    min = x-start of the given genome, max = x-end of the given genome
  */
 function calcXBoundsForGenome(genomeID) {
-  return [xDisps[genomeID], xDisps[genomeID] + genomeMax[genomeID]*scaleFactor];
+  return [nt_disps[genomeID]*scaleFactor, (nt_disps[genomeID]+genomeMax[genomeID])*scaleFactor];
 }
 
 /*

From a0ec11ab7027564ef1062cc366677030accf4363 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 7 May 2023 20:20:45 -0500
Subject: [PATCH 0956/1020] basic genome sliding functionality: toggle Scale
 when sliding is active

---
 anvio/data/interactive/genomeview.html         |  4 ++--
 anvio/data/interactive/js/genomeview/drawer.js | 15 +++++++++++----
 anvio/data/interactive/js/genomeview/main.js   |  1 +
 anvio/data/interactive/js/genomeview/ui.js     | 12 +++++++++---
 4 files changed, 23 insertions(+), 9 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 54f6813c86..692907dbe9 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -250,10 +250,10 @@ <h4 class="modal-title">Lasso</h4>
             <td>Genome scale interval: </td>
             <td><input id="genome_scale_interval" class="form-control input-sm" type="text" value="100" size="4"></td>
           </tr>
-          <!--<tr>
+          <tr>
             <td><button id="alignRulerBtn" type="button" class="btn btn-primary btn-xs" onclick="drawer.alignRulers()"
                 class="btn btn-outline-primary">Align genome rulers</button></td>
-          </tr>-->
+          </tr>
         </tbody>
       </table>
 
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 852b3518ed..e2ccd5a8f2 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -104,6 +104,7 @@ GenomeDrawer.prototype.addGroupBorder = function (yOffset, orderIndex, genomeInd
 
   let rect = new fabric.Rect({
     id: 'groupBorder' + orderIndex,
+    groupID: genomeID,
     top: top,
     left: left,
     width: width,
@@ -149,7 +150,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
     top: y + 4,
     stroke: 'black',
     strokeWidth: 2,
-    selectable: false,
+    selectable: true,
     lockMovementY: true,
     hasControls: false,
     hasBorders: false,
@@ -167,10 +168,12 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
   }
 
   for (let geneID in gene_list) {
+    // TODO: renderWindow needs to compensate for genomes slid left of 0...don't clamp to 0, end etc
+    // rather than clamping to [0,max], clamp to [-PAD, max-PAD]
     let gene = gene_list[geneID];
     let [ntStart, ntStop] = getRenderNTRange(genomeID);
-    if (gene.start < ntStart) continue;
-    if (gene.stop > ntStop) return;
+    if (gene.stop < ntStart) continue;
+    if (gene.start > ntStop) return;
     var geneObj = this.geneArrow(gene, geneID, y, genomeID, this.settings['display']['arrow-style']);
     canvas.add(geneObj)
     canvas.bringToFront(geneObj);
@@ -348,6 +351,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
     stroke: stroke,
     fill: stroke,
     selectable: false,
+    lockMovementY: true,
     objectCaching: false,
     hoverCursor: 'default',
     id: `${layer}-graph-shaded`,
@@ -400,7 +404,7 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function (genomeID, layerPos, laye
       hasBorders: false,
       lockScaling: true,
       objectCaching: false,
-      selectable: false,
+      selectable: true,
       hoverCursor: 'default',
       groupID: genomeID,
       class: 'ruler'
@@ -439,6 +443,7 @@ GenomeDrawer.prototype.addBackgroundShade = function (top, left, width, height,
     fill: "#b0b0b0",
     stroke: 'black',
     selectable: false,
+    lockMovementY: true,
     hoverCursor: 'default',
     opacity: .25
   });
@@ -720,6 +725,8 @@ GenomeDrawer.prototype.alignRulers = function () {
     nt_disps[genome[0]] = 0;
   }
   percentScale = false;
+  slidingActive = false;
+  $('#scaleContainer').show();
   drawScale();
   bindViewportToWindow();
   updateScalePos();
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 259acb90d0..3f7aee5285 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -47,6 +47,7 @@ var order_gene_colors_by_count = true; // if true, order annotations on gene col
 var filter_gene_colors_to_window = false; // if true, only display gene colors in current render window, otherwise show all gene colors in split
 var firstDraw = true // flag to determine whether to set zoom to initial zoom level
 var GENOME_LABEL_CHAR_LIMIT = 20; // truncate to arbitrary character limit for genome labels
+var slidingActive = false;
 var canvas;
 var labelCanvas;
 var brush;
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 15d4c1c901..8c0382c931 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -81,8 +81,8 @@ function setCanvasListeners(){
    *  At its current state, proportional scale has some bugs with calculating the viewport window for a given selection range. Bookmarks should also be disabled for proportional scale.
    */
   canvas.on('object:moving', function (opt) {
-    console.log("Warning: Object moving event listener triggered. This listener should never be triggered as long as genome dragging is disabled, so if you're seeing this message, there may be an error somewhere.");
-    return;
+    //console.log("Warning: Object moving event listener triggered. This listener should never be triggered as long as genome dragging is disabled, so if you're seeing this message, there may be an error somewhere.");
+    //return;
     var gid = opt.target ? opt.target.groupID : null;
     if (gid == null) return;
 
@@ -101,8 +101,14 @@ function setCanvasListeners(){
     nt_disps[gid] += delta/scaleFactor;
 
     this.setViewportTransform(this.viewportTransform);
-    setPercentScale();
+    //setPercentScale();
     this.prev = opt.target.left;
+
+    if(!slidingActive) {
+      $('#scaleContainer').hide();
+      toastr.warning('Genome Scale was HIDDEN while genome sliding is active. To reenable scale, press "Align Genomes" in settings.');
+      slidingActive = true;
+    }
   });
   canvas.on('mouse:wheel', function (opt) {
     if (opt.e.shiftKey === false) {

From 49cd7352d0ff7bbee6d5d7f926e0cbf2ebf28845 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 7 May 2023 20:28:55 -0500
Subject: [PATCH 0957/1020] note potentially deprecated `percentScale` utils
 fns

---
 anvio/data/interactive/js/genomeview/utils.js | 88 +++++++++++--------
 1 file changed, 49 insertions(+), 39 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 25a2c2e220..f44ece4240 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -119,45 +119,6 @@ function checkGeneLabels() {
   return [window_left, window_right];
 }
 
-/*
- *  @returns [start, stop] proportional (0-1) range, used with scale for non-aligned genomes
- */
-function getFracForVPT() {
-  let resolution = 4; // number of decimals to show
-  let [x1, x2] = calcXBounds();
-  let window_left = Math.round(10**resolution * (-1*canvas.viewportTransform[4] - x1) / (x2 - x1)) / 10**resolution;
-  let window_right = Math.round(10**resolution * (window_left + (canvas.getWidth()) / (x2 - x1))) / 10**resolution;
-  // if window is out of bounds, shift to be in bounds
-  if(window_left < 0) {
-    window_right -= window_left;
-    window_left = 0;
-  }
-  if(window_right > 1) {
-    window_left -= (window_right - 1);
-    window_right = 1;
-  }
-  return [window_left, window_right];
-}
-
-/*
- *  @returns absolute x-position viewport range for a given proportional selection range
- */
-function getVPTForFrac() {
-  if(!percentScale) return null;
-  let [l,r] = calcXBounds();
-  return [$('#brush_start').val(),$('#brush_end').val()].map(x => l+x*(r-l));
-}
-
-/*
- *  @returns absolute x-position viewport range for a given proportional renderWindow range
- */
-function getRenderXRangeForFrac() {
-  if(!percentScale) return null;
-  let [l,r] = calcXBounds();
-  let [x1, x2] = renderWindow.map(x => l+x*(r-l));
-  return [x1, x2];
-}
-
 /* 
  *  @returns x-range of a specific genome based on its current nt range (since they can be dragged)
  *  - used to draw genome line, ruler
@@ -298,3 +259,52 @@ function toggleRightPanel(name) {
   }
 }
 
+
+
+
+
+// ================================================================================================================================
+// DEPRECATED FUNCTIONS
+// ================================================================================================================================
+
+/*
+ *  [NOTE: DEPRECATED]
+ *  @returns [start, stop] proportional (0-1) range, used with scale for non-aligned genomes
+ */
+function getFracForVPT() {
+  let resolution = 4; // number of decimals to show
+  let [x1, x2] = calcXBounds();
+  let window_left = Math.round(10**resolution * (-1*canvas.viewportTransform[4] - x1) / (x2 - x1)) / 10**resolution;
+  let window_right = Math.round(10**resolution * (window_left + (canvas.getWidth()) / (x2 - x1))) / 10**resolution;
+  // if window is out of bounds, shift to be in bounds
+  if(window_left < 0) {
+    window_right -= window_left;
+    window_left = 0;
+  }
+  if(window_right > 1) {
+    window_left -= (window_right - 1);
+    window_right = 1;
+  }
+  return [window_left, window_right];
+}
+
+/*
+ *  [NOTE: DEPRECATED]
+ *  @returns absolute x-position viewport range for a given proportional selection range
+ */
+function getVPTForFrac() {
+  if(!percentScale) return null;
+  let [l,r] = calcXBounds();
+  return [$('#brush_start').val(),$('#brush_end').val()].map(x => l+x*(r-l));
+}
+
+/*
+ *  [NOTE: DEPRECATED]
+ *  @returns absolute x-position viewport range for a given proportional renderWindow range
+ */
+function getRenderXRangeForFrac() {
+  if(!percentScale) return null;
+  let [l,r] = calcXBounds();
+  let [x1, x2] = renderWindow.map(x => l+x*(r-l));
+  return [x1, x2];
+}
\ No newline at end of file

From 2b18d24ab626deed6c2b406d8317cfbffd090169 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 7 May 2023 20:35:09 -0500
Subject: [PATCH 0958/1020] fix genome sliding warning msg

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 8c0382c931..dfb67d33f5 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -106,7 +106,7 @@ function setCanvasListeners(){
 
     if(!slidingActive) {
       $('#scaleContainer').hide();
-      toastr.warning('Genome Scale was HIDDEN while genome sliding is active. To reenable scale, press "Align Genomes" in settings.');
+      toastr.warning('Genome Scale was HIDDEN while genome sliding is active. To reenable scale, press "Align genome rulers" in settings.');
       slidingActive = true;
     }
   });

From f61c981f16d0545ae920c7acf0bfc242b992129c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 7 May 2023 20:41:23 -0500
Subject: [PATCH 0959/1020] disable bookmarks during genome sliding

---
 anvio/data/interactive/genomeview.html         | 4 ++--
 anvio/data/interactive/js/genomeview/drawer.js | 6 ++++++
 anvio/data/interactive/js/genomeview/ui.js     | 6 ++++++
 3 files changed, 14 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 692907dbe9..222a2b285c 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -532,7 +532,7 @@ <h4 class="modal-title">Lasso</h4>
       <tbody id="query-results-table">
       </tbody>
     </table>
-    <span class="settings-header">Bookmarks</span>
+    <span id="bookmarks-header" class="settings-header">Bookmarks</span>
     <table id="bookmarksTable" style="margin-bottom: 20px;">
       <tbody>
         <tr id="create_bookmark">
@@ -544,7 +544,7 @@ <h4 class="modal-title">Lasso</h4>
           </td>
         </tr>
         <tr id="show_scale">
-          <td style="float: right"><button onclick='createBookmark()'>New Bookmark from Current Position</button>
+          <td style="float: right"><button id="createBookmarkBtn" onclick='createBookmark()'>New Bookmark from Current Position</button>
           </td>
         </tr>
         </tr>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index e2ccd5a8f2..3025e4094c 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -733,6 +733,12 @@ GenomeDrawer.prototype.alignRulers = function () {
   updateRenderWindow();
   this.draw();
   $('#alignRulerBtn').blur();
+
+  // enable bookmarks
+  $('#create_bookmark_input').prop('disabled', false);
+  $('#create_bookmark_description').prop('disabled', false);
+  $('#createBookmarkBtn').prop('disabled', false);
+  $('#bookmarks-header').text('Bookmarks');
 }
 
 GenomeDrawer.prototype.setGenomeSpacing = function (newSpacing) {
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index dfb67d33f5..64e0a6cabf 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -108,6 +108,12 @@ function setCanvasListeners(){
       $('#scaleContainer').hide();
       toastr.warning('Genome Scale was HIDDEN while genome sliding is active. To reenable scale, press "Align genome rulers" in settings.');
       slidingActive = true;
+
+      // disable bookmarks
+      $('#create_bookmark_input').prop('disabled', true);
+      $('#create_bookmark_description').prop('disabled', true);
+      $('#createBookmarkBtn').prop('disabled', true);
+      $('#bookmarks-header').text('Bookmarks (disabled)');
     }
   });
   canvas.on('mouse:wheel', function (opt) {

From 3933ddefdd438546e038b0a556962f07d816caa7 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 7 May 2023 20:42:43 -0500
Subject: [PATCH 0960/1020] cleaner

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 +---
 anvio/data/interactive/js/genomeview/ui.js     | 4 +---
 2 files changed, 2 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 3025e4094c..d057e685ed 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -735,9 +735,7 @@ GenomeDrawer.prototype.alignRulers = function () {
   $('#alignRulerBtn').blur();
 
   // enable bookmarks
-  $('#create_bookmark_input').prop('disabled', false);
-  $('#create_bookmark_description').prop('disabled', false);
-  $('#createBookmarkBtn').prop('disabled', false);
+  $('#create_bookmark_input, #create_bookmark_description, #createBookmarkBtn').prop('disabled', false);
   $('#bookmarks-header').text('Bookmarks');
 }
 
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 64e0a6cabf..b17598e65c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -110,9 +110,7 @@ function setCanvasListeners(){
       slidingActive = true;
 
       // disable bookmarks
-      $('#create_bookmark_input').prop('disabled', true);
-      $('#create_bookmark_description').prop('disabled', true);
-      $('#createBookmarkBtn').prop('disabled', true);
+      $('#create_bookmark_input, #create_bookmark_description, #createBookmarkBtn').prop('disabled', true);
       $('#bookmarks-header').text('Bookmarks (disabled)');
     }
   });

From 3e494fd5172937b26f1e9762165ead5104a4cb3b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 7 May 2023 20:48:29 -0500
Subject: [PATCH 0961/1020] add warning info msg for disabled bookmarks

---
 anvio/data/interactive/genomeview.html         | 2 ++
 anvio/data/interactive/js/genomeview/drawer.js | 1 +
 anvio/data/interactive/js/genomeview/ui.js     | 1 +
 3 files changed, 4 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 222a2b285c..c9ee22fba7 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -547,6 +547,8 @@ <h4 class="modal-title">Lasso</h4>
           <td style="float: right"><button id="createBookmarkBtn" onclick='createBookmark()'>New Bookmark from Current Position</button>
           </td>
         </tr>
+        <tr>
+          <p hidden id="bookmarks-disabled-warning-info" class="settings-section-info" style="color:red">Bookmarks are disabled while genome sliding is active. To reenable bookmarks, press "Align genome rulers" in the settings panel.</p>
         </tr>
       </tbody>
     </table>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index d057e685ed..4e0dc07f19 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -737,6 +737,7 @@ GenomeDrawer.prototype.alignRulers = function () {
   // enable bookmarks
   $('#create_bookmark_input, #create_bookmark_description, #createBookmarkBtn').prop('disabled', false);
   $('#bookmarks-header').text('Bookmarks');
+  $('#bookmarks-disabled-warning-info').hide();
 }
 
 GenomeDrawer.prototype.setGenomeSpacing = function (newSpacing) {
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index b17598e65c..7ee60ba333 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -112,6 +112,7 @@ function setCanvasListeners(){
       // disable bookmarks
       $('#create_bookmark_input, #create_bookmark_description, #createBookmarkBtn').prop('disabled', true);
       $('#bookmarks-header').text('Bookmarks (disabled)');
+      $('#bookmarks-disabled-warning-info').show();
     }
   });
   canvas.on('mouse:wheel', function (opt) {

From da0b51d97a7b57c7e00054bb476154cdd00a5fcc Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 7 May 2023 20:58:21 -0500
Subject: [PATCH 0962/1020] += `toggleGenomeSliding`

---
 .../data/interactive/js/genomeview/drawer.js  | 13 ++++-----
 anvio/data/interactive/js/genomeview/ui.js    | 28 ++++++++++++-------
 2 files changed, 23 insertions(+), 18 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 4e0dc07f19..6261f67ef1 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -721,23 +721,20 @@ GenomeDrawer.prototype.showAllADLPts = function () {
 }
 
 GenomeDrawer.prototype.alignRulers = function () {
+  if(!slidingActive) return;
+
+  toggleGenomeSliding();
+
   for (genome of this.settings['genomeData']['genomes']) {
     nt_disps[genome[0]] = 0;
   }
-  percentScale = false;
-  slidingActive = false;
-  $('#scaleContainer').show();
+  //percentScale = false;
   drawScale();
   bindViewportToWindow();
   updateScalePos();
   updateRenderWindow();
   this.draw();
   $('#alignRulerBtn').blur();
-
-  // enable bookmarks
-  $('#create_bookmark_input, #create_bookmark_description, #createBookmarkBtn').prop('disabled', false);
-  $('#bookmarks-header').text('Bookmarks');
-  $('#bookmarks-disabled-warning-info').hide();
 }
 
 GenomeDrawer.prototype.setGenomeSpacing = function (newSpacing) {
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 7ee60ba333..09696f030f 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -104,16 +104,7 @@ function setCanvasListeners(){
     //setPercentScale();
     this.prev = opt.target.left;
 
-    if(!slidingActive) {
-      $('#scaleContainer').hide();
-      toastr.warning('Genome Scale was HIDDEN while genome sliding is active. To reenable scale, press "Align genome rulers" in settings.');
-      slidingActive = true;
-
-      // disable bookmarks
-      $('#create_bookmark_input, #create_bookmark_description, #createBookmarkBtn').prop('disabled', true);
-      $('#bookmarks-header').text('Bookmarks (disabled)');
-      $('#bookmarks-disabled-warning-info').show();
-    }
+    if(!slidingActive) toggleGenomeSliding();
   });
   canvas.on('mouse:wheel', function (opt) {
     if (opt.e.shiftKey === false) {
@@ -1822,6 +1813,23 @@ function drawGenomeLabels(fontsize=null) {
   });
 }
 
+function toggleGenomeSliding() {
+  if(!slidingActive) {
+    slidingActive = true;
+    $('#scaleContainer').hide();
+    toastr.warning('Genome Scale was HIDDEN while genome sliding is active. To reenable scale, press "Align genome rulers" in settings.');
+    $('#create_bookmark_input, #create_bookmark_description, #createBookmarkBtn').prop('disabled', true);
+    $('#bookmarks-header').text('Bookmarks (disabled)');
+    $('#bookmarks-disabled-warning-info').show();
+  } else {
+    slidingActive = false;
+    $('#scaleContainer').show();
+    $('#create_bookmark_input, #create_bookmark_description, #createBookmarkBtn').prop('disabled', false);
+    $('#bookmarks-header').text('Bookmarks');
+    $('#bookmarks-disabled-warning-info').hide();
+  }
+}
+
 function exportToSVG() {
   // TODO: 1) clip to viewbox (including vertical scroll?)
 

From 9d5eed31dc711dfe5bd7eaf2c66971a330952bc6 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 7 May 2023 21:08:56 -0500
Subject: [PATCH 0963/1020] persist sliding in state

---
 anvio/data/interactive/js/genomeview/drawer.js |  3 ++-
 anvio/data/interactive/js/genomeview/main.js   | 11 ++++++++++-
 anvio/data/interactive/js/genomeview/ui.js     | 12 ++++++------
 3 files changed, 18 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 6261f67ef1..563396fb8e 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -723,7 +723,8 @@ GenomeDrawer.prototype.showAllADLPts = function () {
 GenomeDrawer.prototype.alignRulers = function () {
   if(!slidingActive) return;
 
-  toggleGenomeSliding();
+  slidingActive = false;
+  toggleScaleAttributes();
 
   for (genome of this.settings['genomeData']['genomes']) {
     nt_disps[genome[0]] = 0;
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 3f7aee5285..2dfda11917 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -47,7 +47,7 @@ var order_gene_colors_by_count = true; // if true, order annotations on gene col
 var filter_gene_colors_to_window = false; // if true, only display gene colors in current render window, otherwise show all gene colors in split
 var firstDraw = true // flag to determine whether to set zoom to initial zoom level
 var GENOME_LABEL_CHAR_LIMIT = 20; // truncate to arbitrary character limit for genome labels
-var slidingActive = false;
+var slidingActive;
 var canvas;
 var labelCanvas;
 var brush;
@@ -317,6 +317,7 @@ function serializeSettings() {
   state['display']['nt_window'] = percentScale ? [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())] : [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
   state['display']['scaleFactor'] = scaleFactor;
   state['display']['percentScale'] = percentScale;
+  state['display']['slidingActive'] = slidingActive;
   state['display']['nt_disps'] = nt_disps;
   state['display']['thresh-count-gene-colors'] = $('#thresh_count').val() // min # occurences of annotation for filtering gene color table
   state['display']['adlPtsPerLayer'] = $('#adl_pts_per_layer').val() // number of data points to be subsampled per ADL. TODO: more meaningful default?
@@ -403,6 +404,12 @@ function processState(stateName, stateData) {
     percentScale = false;
   }
 
+  if(stateData?.['display']?.['slidingActive']) {
+    slidingActive = stateData['display']['slidingActive']
+  } else {
+    slidingActive = false;
+  }
+
   if(stateData?.['display']?.['scaleFactor']) {
     scaleFactor = stateData['display']['scaleFactor']
   } else {
@@ -610,6 +617,8 @@ function loadAll(loadType) {
   brush(d3.select(".brush"));
   updateRenderWindow();
   setLabelCanvas(); // set a second time to adjust to new brush extent
+
+  if(slidingActive) toggleScaleAttributes();
   
   console.log('Sending this data obj to GenomeDrawer', settings)
   drawer = new GenomeDrawer(settings)
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 09696f030f..ca3359207c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -103,8 +103,10 @@ function setCanvasListeners(){
     this.setViewportTransform(this.viewportTransform);
     //setPercentScale();
     this.prev = opt.target.left;
-
-    if(!slidingActive) toggleGenomeSliding();
+    if(!slidingActive) {
+      slidingActive = true;
+      toggleScaleAttributes();
+    }
   });
   canvas.on('mouse:wheel', function (opt) {
     if (opt.e.shiftKey === false) {
@@ -1813,16 +1815,14 @@ function drawGenomeLabels(fontsize=null) {
   });
 }
 
-function toggleGenomeSliding() {
-  if(!slidingActive) {
-    slidingActive = true;
+function toggleScaleAttributes() {
+  if(slidingActive) {
     $('#scaleContainer').hide();
     toastr.warning('Genome Scale was HIDDEN while genome sliding is active. To reenable scale, press "Align genome rulers" in settings.');
     $('#create_bookmark_input, #create_bookmark_description, #createBookmarkBtn').prop('disabled', true);
     $('#bookmarks-header').text('Bookmarks (disabled)');
     $('#bookmarks-disabled-warning-info').show();
   } else {
-    slidingActive = false;
     $('#scaleContainer').show();
     $('#create_bookmark_input, #create_bookmark_description, #createBookmarkBtn').prop('disabled', false);
     $('#bookmarks-header').text('Bookmarks');

From 307de65485de5f2aa300a1f461152c424f5cfb90 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 7 May 2023 21:37:11 -0500
Subject: [PATCH 0964/1020] rename

---
 anvio/data/interactive/js/genomeview/drawer.js | 10 +++++-----
 anvio/data/interactive/js/genomeview/utils.js  |  2 +-
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 563396fb8e..75fa867294 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -171,7 +171,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
     // TODO: renderWindow needs to compensate for genomes slid left of 0...don't clamp to 0, end etc
     // rather than clamping to [0,max], clamp to [-PAD, max-PAD]
     let gene = gene_list[geneID];
-    let [ntStart, ntStop] = getRenderNTRange(genomeID);
+    let [ntStart, ntStop] = getGenomeRenderWindow(genomeID);
     if (gene.stop < ntStart) continue;
     if (gene.start > ntStop) return;
     var geneObj = this.geneArrow(gene, geneID, y, genomeID, this.settings['display']['arrow-style']);
@@ -313,7 +313,7 @@ GenomeDrawer.prototype.buildNumericalDataLayer = function (layer, layerPos, geno
   let nGroups = 20
   let j = 0
   let final_l = 0 //used to create final line segments to 'close out' path obj for shading purposes.
-  let [l, r] = getRenderNTRange(genomeID);
+  let [l, r] = getGenomeRenderWindow(genomeID);
   for (let i = 0; i <= nGroups; i++) {
     for (; j < i * contigArr.length / nGroups; j += ptInterval) {
       if (j < l) continue;
@@ -373,7 +373,7 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function (genomeID, layerPos, laye
   // split ruler into several objects to avoid performance cost of large object pixel size
   let nRulers = 20;
   let w = 0;
-  let [l, r] = getRenderNTRange(genomeID);
+  let [l, r] = getGenomeRenderWindow(genomeID);
   for (let i = 0; i < nRulers; i++) {
     let ruler = new fabric.Group();
     for (; w < (i + 1) * genomeMax[genomeID] / nRulers; w += settings['display']['genome-scale-interval']) {
@@ -571,8 +571,8 @@ GenomeDrawer.prototype.shadeGeneClusters = function (geneClusters, colors) {
     let genomeB = this.settings['genomeData']['genomes'][i + 1][1].genes.gene_calls;
     let genomeID_A = this.settings['genomeData']['genomes'][i][0];
     let genomeID_B = this.settings['genomeData']['genomes'][i + 1][0];
-    let [l1, r1] = getRenderNTRange(genomeID_A);
-    let [l2, r2] = getRenderNTRange(genomeID_B);
+    let [l1, r1] = getGenomeRenderWindow(genomeID_A);
+    let [l2, r2] = getGenomeRenderWindow(genomeID_B);
 
     for (gc of geneClusters) {
       let g1 = [], g2 = [];
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index f44ece4240..ce7109a92b 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -131,7 +131,7 @@ function getRenderXRangeForGenome(genomeID) {
  *  @returns nt range of a specific genome that appears in the current render window (since they can be dragged)
  *  - used to determine which gene arrows to draw for a given genome while genome sliding is activated
  */
-function getRenderNTRange(genomeID) {
+function getGenomeRenderWindow(genomeID) {
   if(!slidingActive) return renderWindow;
 
   let [start, end] = renderWindow.map(pos => Math.floor(pos - nt_disps[genomeID]));

From c563f30dbeed13f0980ae2d01cbc6cb65d4a010e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sun, 7 May 2023 22:03:53 -0500
Subject: [PATCH 0965/1020] toggle bookmarks table in query pane

---
 anvio/data/interactive/js/genomeview/ui.js | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index ca3359207c..6505891461 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1821,11 +1821,13 @@ function toggleScaleAttributes() {
     toastr.warning('Genome Scale was HIDDEN while genome sliding is active. To reenable scale, press "Align genome rulers" in settings.');
     $('#create_bookmark_input, #create_bookmark_description, #createBookmarkBtn').prop('disabled', true);
     $('#bookmarks-header').text('Bookmarks (disabled)');
+    $('#currBookmarksTable').hide();
     $('#bookmarks-disabled-warning-info').show();
   } else {
     $('#scaleContainer').show();
     $('#create_bookmark_input, #create_bookmark_description, #createBookmarkBtn').prop('disabled', false);
     $('#bookmarks-header').text('Bookmarks');
+    $('#currBookmarksTable').show();
     $('#bookmarks-disabled-warning-info').hide();
   }
 }

From f0d517fcea4b107650693cff584397429b261b81 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 8 May 2023 00:02:58 -0500
Subject: [PATCH 0966/1020] fix to use correct nt or x scale

---
 anvio/data/interactive/js/genomeview/drawer.js     | 13 +++++++------
 anvio/data/interactive/js/genomeview/navigation.js | 11 +++++------
 anvio/data/interactive/js/genomeview/utils.js      | 13 +++++++------
 3 files changed, 19 insertions(+), 18 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 75fa867294..ac0092d108 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -139,12 +139,13 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
   let y = marginTop + yOffset + layerPos + (layerHeight / 2) + (orderIndex * groupMargin) // render arrows in the center of genome layer's allotted vertical space
 
   // get x-range for this genome
-  let [start, stop] = percentScale ? getRenderXRangeForFrac() : getRenderXRangeForGenome(genomeID)
-  start = clamp(start > nt_disps[genomeID]*scaleFactor ? start : nt_disps[genomeID]*scaleFactor, calcXBoundsForGenome(genomeID)[0], calcXBoundsForGenome(genomeID)[1]);
-  stop = clamp(stop, calcXBoundsForGenome(genomeID)[0], calcXBoundsForGenome(genomeID)[1]);
-  
+  //let [startX, stopX] = percentScale ? getRenderXRangeForFrac() : getRenderXRangeForGenome(genomeID)
+  let [startX, stopX] = renderWindow.map(pos => pos * scaleFactor)
+  startX = clamp(startX > nt_disps[genomeID]*scaleFactor ? startX : nt_disps[genomeID]*scaleFactor, calcXBoundsForGenome(genomeID)[0], calcXBoundsForGenome(genomeID)[1]);
+  stopX = clamp(stopX, calcXBoundsForGenome(genomeID)[0], calcXBoundsForGenome(genomeID)[1]);
+
   // genome line
-  let lineObj = new fabric.Line([start, 0, stop, 0], {
+  let lineObj = new fabric.Line([startX, 0, stopX, 0], {
     id: 'genomeLine',
     groupID: genomeID,
     top: y + 4,
@@ -158,7 +159,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
     hoverCursor: 'default'
   });
   canvas.add(lineObj);
-  //this.addBackgroundShade((marginTop + yOffset + layerPos + (orderIndex * groupMargin)), start, genomeMax[genomeID], layerHeight, orderIndex, genomeIndex)
+  //this.addBackgroundShade((marginTop + yOffset + layerPos + (orderIndex * groupMargin)), startX, genomeMax[genomeID], layerHeight, orderIndex, genomeIndex)
 
   // draw set labels
   if (settings['display']['show-gene-labels'] && settings['display']['labels']['gene-sets'][genomeID]) {
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 3eb63ed217..be1fc13ee7 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -243,18 +243,17 @@ function updateScalePos() {
   $('#brush_end').val(newEnd);
 }
 
-function updateRenderWindow(genomeID=null) {
-  let max = genomeID ? genomeMax[genomeID] : globalGenomeMax;
+function updateRenderWindow() {
   if(percentScale) {
-    let resolution = 4; // # decimals to show for renderw window
+    let resolution = 4; // # decimals to show for render window
     let [start, end] = [parseFloat($('#brush_start').val()), parseFloat($('#brush_end').val())];
     let diff = end - start > 0.1 ? Math.round(10**resolution*(end - start) / 2)/10**resolution : 0.05;
     renderWindow = [clamp(start - diff, 0, 1), clamp(end + diff, 0, 1)];
   } else {
-    let [start, end] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+    let [start, end] = getNTRangeForVPT();
     let diff = end - start > 10000 ? Math.floor((end - start)/2) : 5000;
-    renderWindow = [clamp(start - diff, 0, max), clamp(end + diff, 0, max)]; // TODO: use genomeMax[genomeID] for currently selected genomeID
-
+    let [lbound, rbound] = calcXBounds().map(x => x/scaleFactor);
+    renderWindow = [clamp(start - diff, lbound, rbound), clamp(end + diff, lbound, rbound)];
     if(filter_gene_colors_to_window) {
       generateColorTable(null, color_db);
       // TODO: filter to window for percent scale, too
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index ce7109a92b..680e3ac607 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -107,14 +107,15 @@ function checkGeneLabels() {
   let vpt = canvas.viewportTransform;
   let window_left = Math.floor((-1*vpt[4])/scaleFactor);
   let window_right = Math.floor(window_left + canvas.getWidth()/scaleFactor);
+  let [lbound, rbound] = calcXBounds().map(x => x/scaleFactor);
   // if window is out of bounds, shift to be in bounds
-  if(window_left < 0) {
-    window_right -= window_left;
-    window_left = 0;
+  if(window_left < lbound) {
+    window_right += (lbound - window_left);
+    window_left = lbound;
   }
-  if(window_right > globalGenomeMax) {
-    window_left -= (window_right - globalGenomeMax);
-    window_right = globalGenomeMax;
+  if(window_right > rbound) {
+    window_left -= (window_right - rbound);
+    window_right = rbound;
   }
   return [window_left, window_right];
 }

From 0b0388af4ffc95e9cf4e7b1f39b0cfb3f36f6ca3 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 8 May 2023 00:07:39 -0500
Subject: [PATCH 0967/1020] move to location on a specific genome

---
 anvio/data/interactive/js/genomeview/navigation.js | 10 ++--------
 1 file changed, 2 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index be1fc13ee7..1c239c77bc 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -210,18 +210,12 @@ function moveToAndUpdateScale(start, stop, transition=true) {
 /*
  *  Pan viewport to new [start, stop] location.
  */
-function moveTo(start, stop) {
-  // if genome sliding is activated, set x-displacement for currently selected genome
-  // let pad = 0;
-  // if(percentScale) {
-  //   let selected_genome = "REPLACE_WITH_CURRENTLY_SELECTED_GENOME_ID"; // TEMPORARY - REPLACE 
-  //   pad = nt_disps[selected_genome];
-  // }
-
+function moveTo(start, stop, genomeID=null) {
   // zoom + pan viewport to new location
   let ntsToShow = stop - start;
   scaleFactor = canvas.getWidth() / ntsToShow;
   let moveToX = scaleFactor * start;
+  if(genomeID) moveToX += scaleFactor * nt_disps[genomeID];
   canvas.absolutePan({x: moveToX, y: 0});
 
   // update rulers based on new zoom

From 309d1fdb85a7e3dbd8ebe3ff3b1294cde8f70fa6 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Mon, 8 May 2023 15:23:25 -0500
Subject: [PATCH 0968/1020] fix querying for genome sliding

---
 .../data/interactive/js/genomeview/drawer.js  | 16 ++++-----
 .../interactive/js/genomeview/navigation.js   | 34 +++++++++++--------
 anvio/data/interactive/js/genomeview/utils.js | 10 +++++-
 3 files changed, 36 insertions(+), 24 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index ac0092d108..77418ce5b1 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -921,8 +921,9 @@ GenomeDrawer.prototype.queryFunctions = async function () {
         let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
         let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
         let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
-        if (start < lowestStart || lowestStart == null) lowestStart = start
-        if (end > highestEnd || highestEnd == null) highestEnd = end
+        let [globalStart, globalEnd] = [start, end].map(pos => pos + nt_disps[gene['genomeID']])
+        if (globalStart < lowestStart || lowestStart == null) lowestStart = globalStart
+        if (globalEnd > highestEnd || highestEnd == null) highestEnd = globalEnd
         $('#query-results-table').append(`
           <tr>
             <td>${gene['geneID']}</td>
@@ -934,8 +935,7 @@ GenomeDrawer.prototype.queryFunctions = async function () {
         `)
       })
     } else {
-      lowestStart = 0
-      highestEnd = globalGenomeMax
+      [lowestStart, highestEnd] = calcNTBounds();
     }
   }
   renderAllGenes()
@@ -992,8 +992,9 @@ GenomeDrawer.prototype.queryMetadata = async function(metadataLabel, type){
       let genomeOfInterest = this.settings['genomeData']['genomes'].filter(genome => genome[0] == gene['genomeID'])
       let start = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['start']
       let end = genomeOfInterest[0][1]['genes']['gene_calls'][gene['geneID']]['stop']
-      if (start < lowestStart || lowestStart == null) lowestStart = start
-      if (end > highestEnd || highestEnd == null) highestEnd = end
+      let [globalStart, globalEnd] = [start, end].map(pos => pos + nt_disps[gene['genomeID']])
+      if (globalStart < lowestStart || lowestStart == null) lowestStart = globalStart
+      if (globalEnd > highestEnd || highestEnd == null) highestEnd = globalEnd
       $('#query-results-table').append(`
         <tr>
           <td>${gene['geneID']}</td>
@@ -1005,8 +1006,7 @@ GenomeDrawer.prototype.queryMetadata = async function(metadataLabel, type){
       `)
     })
   } else {
-    lowestStart = 0
-    highestEnd = globalGenomeMax
+    [lowestStart, highestEnd] = calcNTBounds()
   }
   await zoomOutAndWait('partial', lowestStart, highestEnd, 350)
   this.glowGenes(glowPayload, true)
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 1c239c77bc..607905a862 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -54,13 +54,14 @@
     moveToAndUpdateScale(newStart, newEnd);
   }
 
-  function zoomOut(type, start, end) {
+  function zoomOut(type, start, end, genomeID=null) {
     // TODO: instead of globalGenomeMax, use genomeMax[genomeID] for currently selected genomeID
     let newStart, newEnd
+    let [lbound, rbound] = calcNTBounds();
 
     if(type && type == 'fully'){
-      newStart = 0
-      newEnd = percentScale ? 1 : globalGenomeMax
+      newStart = lbound
+      newEnd = percentScale ? 1 : rbound
     } else if(type && type == 'partial'){
       newStart = start - (percentScale ? .02 : 10000)
       newEnd = end + (percentScale ? .02 : 10000)
@@ -70,25 +71,28 @@
         let end = parseFloat($('#brush_end').val());
         newStart = start - 0.02, newEnd = end + 0.02;
       } else {
-        let start = parseInt($('#brush_start').val());
-        let end = parseInt($('#brush_end').val());
-        newStart = start - globalGenomeMax/50, newEnd = end + globalGenomeMax/50;
+        let [start, end] = getNTRangeForVPT();
+        newStart = start - rbound/50, newEnd = end + rbound/50;
       }
-      if(newStart == 0 && newEnd == genoglobalGenomeMaxmeMax) { // for extra-zoomed-out view
+      if(newStart == lbound && newEnd == rbound) { // for extra-zoomed-out view
         scaleFactor = 0.01;
         if(settings['display']['dynamic-scale-interval']) adjustScaleInterval();
         drawer.draw()
         return;
       }
     }
-    if(newStart < 0) newStart = 0;
-    newEnd = clamp(newEnd, 0, percentScale ? 1 : globalGenomeMax);
+    if(newStart < lbound) newStart = lbound;
+    newEnd = clamp(newEnd, lbound, percentScale ? 1 : rbound);
 
-    moveToAndUpdateScale(newStart, newEnd);
+    if(slidingActive) {
+      moveTo(newStart, newEnd, genomeID);
+    } else {
+      moveToAndUpdateScale(newStart, newEnd);
+    }
   }
 
-  async function zoomOutAndWait(type, start, end, time) {
-    zoomOut(type, start, end);
+  async function zoomOutAndWait(type, start, end, time, genomeID=null) {
+    zoomOut(type, start, end, genomeID);
 
     return new Promise(resolve => {
       setTimeout(() => {
@@ -98,8 +102,8 @@
   }
 
   async function goToGene(genomeID, geneID, start, end) {
-    await zoomOutAndWait('partial', start, end, 500);
-    drawer.glowGenes([{genomeID: genomeID, geneID: geneID}]);
+    await zoomOutAndWait('partial', start, end, 500, genomeID);
+    drawer.glowGenes([{genomeID: genomeID, geneID: geneID}]); 
   }
 
 /*
@@ -246,7 +250,7 @@ function updateRenderWindow() {
   } else {
     let [start, end] = getNTRangeForVPT();
     let diff = end - start > 10000 ? Math.floor((end - start)/2) : 5000;
-    let [lbound, rbound] = calcXBounds().map(x => x/scaleFactor);
+    let [lbound, rbound] = calcNTBounds();
     renderWindow = [clamp(start - diff, lbound, rbound), clamp(end + diff, lbound, rbound)];
     if(filter_gene_colors_to_window) {
       generateColorTable(null, color_db);
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 680e3ac607..e0783d640c 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -107,7 +107,7 @@ function checkGeneLabels() {
   let vpt = canvas.viewportTransform;
   let window_left = Math.floor((-1*vpt[4])/scaleFactor);
   let window_right = Math.floor(window_left + canvas.getWidth()/scaleFactor);
-  let [lbound, rbound] = calcXBounds().map(x => x/scaleFactor);
+  let [lbound, rbound] = calcNTBounds();
   // if window is out of bounds, shift to be in bounds
   if(window_left < lbound) {
     window_right += (lbound - window_left);
@@ -161,6 +161,14 @@ function calcXBounds() {
   return [min, max];
 }
 
+/*
+ *  @returns array [lowestStart, highestEnd] of nt positions for all genomes
+ *    note if slidingActive = false, this will always equal [0, globalGenomeMax]
+ */
+function calcNTBounds() {
+  return calcXBounds().map(x => x/scaleFactor);
+}
+
 /*
  *  @returns array of functional annotation types from table in `genomeData`
  */

From 9dc20fbdf2a80e7b6edc6e054d16fccc193b2f8e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 11 May 2023 00:14:51 -0500
Subject: [PATCH 0969/1020] center genes function

---
 .../data/interactive/js/genomeview/drawer.js  | 37 +++++++++++++++++++
 anvio/data/interactive/js/genomeview/utils.js |  9 +++++
 2 files changed, 46 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 77418ce5b1..188066cc44 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -663,6 +663,43 @@ GenomeDrawer.prototype.removeAllGeneGlows = function () {
   canvas.renderAll();
 }
 
+/*
+ *  Shift genomes horizontally to align around the target gene's centers. Pan viewport to first target gene (on first genome).
+ *  Note: if there are multiple genes for a single genome, it will center around the first (lowest geneID) gene in the genome.
+ *
+ *  @param genes: list of target genes in format [{genomeID: 'ABC', geneID: 1}]
+ */
+GenomeDrawer.prototype.centerGenes = function (genes) {
+  let firstGenome = true;
+  let basePad = 0;
+  let centeredGenes = [];
+  this.settings['genomeData']['genomes'].map(g => g[0]).forEach(genomeID => {
+    let geneIDs = genes.filter(gene => gene.genomeID == genomeID).map(gene => gene.geneID).sort();
+    if(geneIDs.length == 0) return;
+    let targetGeneID = geneIDs[0]; // TODO: for loop through genes and allow user to select a gene ID
+    centeredGenes.push({genomeID: genomeID, geneID: targetGeneID});
+    
+    if(firstGenome) {
+      firstGenome = false;
+      basePad = nt_disps[genomeID] + getGeneMid(genomeID, targetGeneID);
+      // pan to this gene
+      let gene = this.settings['genomeData']['genomes'].find(g=>g[0]==genomeID)[1].genes.gene_calls[targetGeneID];
+      let len = gene.stop - gene.start;
+      moveTo(gene.start - len*3, gene.stop + len*3, genomeID);
+      return;
+    }
+
+    nt_disps[genomeID] += (basePad - (nt_disps[genomeID]+getGeneMid(genomeID, targetGeneID)));
+  });
+  this.draw();
+  this.glowGenes(centeredGenes);
+
+  if(!slidingActive) {
+    slidingActive = true;
+    toggleScaleAttributes();
+  }
+}
+
 /*
  *  Shift genomes horizontally to align genes around the target gene cluster.
  *
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index e0783d640c..896ada82b4 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -75,6 +75,15 @@ function getGenesOfGC(genomeID, gc) {
   return targetGenes.length > 0 ? targetGenes : null;
 }
 
+/* 
+ *  @returns NT position of the middle of a given gene
+ */
+function getGeneMid(genomeID, geneID) {
+  let gene = settings['genomeData']['genomes'].find(g => g[0]==genomeID)[1].genes.gene_calls[geneID];
+  if(!gene) return null;
+  return (gene.start + gene.stop) / 2;
+}
+
 /*
  *  Show/hide gene labels to show the max amount possible s.t. none overlap.
  */

From 9c3aa6f938916e5bfb5d417c0a729ad7bd3f21b1 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 11 May 2023 00:15:07 -0500
Subject: [PATCH 0970/1020] get genes with annotation or metadata utils fns

---
 anvio/data/interactive/js/genomeview/utils.js | 39 +++++++++++++++++++
 1 file changed, 39 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 896ada82b4..a07c198083 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -84,6 +84,45 @@ function getGeneMid(genomeID, geneID) {
   return (gene.start + gene.stop) / 2;
 }
 
+/*
+ *  @returns array of genes in the form [{genomeID: 'ABC', geneID: 1}] with a specified functional annotation
+ */
+function getGenesWithAnnotation(annotation_type, annotation_value) {
+  let targetGenes = [];
+  settings['genomeData']['genomes'].forEach(genome => {
+    let geneFunctions = genome[1]['genes']['functions'];
+    if(geneFunctions) {
+      for(geneID in geneFunctions) {
+        if(geneFunctions[geneID][annotation_type] && geneFunctions[geneID][annotation_type][1].includes(annotation_value)) {
+          targetGenes.push({genomeID: genome[0], geneID: geneID});
+        }
+      }
+    }
+  });
+  return targetGenes;
+}
+
+/*
+ *  @returns array of genes in the form [{genomeID: 'ABC', geneID: 1}] with a specified metadata value
+ */
+function getGenesWithMetadata(metadata_type, metadata_value) {
+  let targetGenes = [];
+
+  settings['display']['metadata'].filter(m => m.type == metadata_type).forEach(metadata => {
+    if(metadata_type == 'tag') {
+      if(metadata.label.toLowerCase() == metadata_value.toLowerCase()) {
+        targetGenes.push({genomeID: metadata.genome, geneID: metadata.gene});
+      }
+    } else if(metadata_type == 'annotation') {
+      if(metadata.accession == metadata_value || metadata.annotation == metadata_value) {
+        targetGenes.push({genomeID: metadata.genome, geneID: metadata.gene});
+      }
+    }
+  });
+  
+  return targetGenes;
+}
+
 /*
  *  Show/hide gene labels to show the max amount possible s.t. none overlap.
  */

From 2f9186122c5491ab330658b82271e2827a9cd3ab Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 11 May 2023 00:18:42 -0500
Subject: [PATCH 0971/1020] allow centering to gene start instead of mid

---
 anvio/data/interactive/js/genomeview/drawer.js | 7 ++++---
 anvio/data/interactive/js/genomeview/utils.js  | 6 ++++++
 2 files changed, 10 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 188066cc44..c0d345d8d1 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -669,7 +669,7 @@ GenomeDrawer.prototype.removeAllGeneGlows = function () {
  *
  *  @param genes: list of target genes in format [{genomeID: 'ABC', geneID: 1}]
  */
-GenomeDrawer.prototype.centerGenes = function (genes) {
+GenomeDrawer.prototype.centerGenes = function (genes, centerToGeneStart=false) {
   let firstGenome = true;
   let basePad = 0;
   let centeredGenes = [];
@@ -677,11 +677,12 @@ GenomeDrawer.prototype.centerGenes = function (genes) {
     let geneIDs = genes.filter(gene => gene.genomeID == genomeID).map(gene => gene.geneID).sort();
     if(geneIDs.length == 0) return;
     let targetGeneID = geneIDs[0]; // TODO: for loop through genes and allow user to select a gene ID
+    let genePos = centerToGeneStart ? getGeneStart(genomeID, targetGeneID) : getGeneMid(genomeID, targetGeneID);
     centeredGenes.push({genomeID: genomeID, geneID: targetGeneID});
     
     if(firstGenome) {
       firstGenome = false;
-      basePad = nt_disps[genomeID] + getGeneMid(genomeID, targetGeneID);
+      basePad = nt_disps[genomeID] + genePos;
       // pan to this gene
       let gene = this.settings['genomeData']['genomes'].find(g=>g[0]==genomeID)[1].genes.gene_calls[targetGeneID];
       let len = gene.stop - gene.start;
@@ -689,7 +690,7 @@ GenomeDrawer.prototype.centerGenes = function (genes) {
       return;
     }
 
-    nt_disps[genomeID] += (basePad - (nt_disps[genomeID]+getGeneMid(genomeID, targetGeneID)));
+    nt_disps[genomeID] += (basePad - (nt_disps[genomeID]+genePos));
   });
   this.draw();
   this.glowGenes(centeredGenes);
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index a07c198083..dc62885d89 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -84,6 +84,12 @@ function getGeneMid(genomeID, geneID) {
   return (gene.start + gene.stop) / 2;
 }
 
+function getGeneStart(genomeID, geneID) {
+  let gene = settings['genomeData']['genomes'].find(g => g[0]==genomeID)[1].genes.gene_calls[geneID];
+  if(!gene) return null;
+  return gene.start;
+}
+
 /*
  *  @returns array of genes in the form [{genomeID: 'ABC', geneID: 1}] with a specified functional annotation
  */

From ace2c2877633ccc3d59cc92e35dd4ef38cf54764 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 11 May 2023 00:25:48 -0500
Subject: [PATCH 0972/1020] fix

---
 anvio/data/interactive/js/genomeview/utils.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index dc62885d89..cd7abde9f8 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -114,6 +114,7 @@ function getGenesWithAnnotation(annotation_type, annotation_value) {
 function getGenesWithMetadata(metadata_type, metadata_value) {
   let targetGenes = [];
 
+  if(!settings.display.metadata) return [];
   settings['display']['metadata'].filter(m => m.type == metadata_type).forEach(metadata => {
     if(metadata_type == 'tag') {
       if(metadata.label.toLowerCase() == metadata_value.toLowerCase()) {

From 7fa81625c866d6cc205cf1507836bb502650d516 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 11 May 2023 00:26:46 -0500
Subject: [PATCH 0973/1020] center genes to prop

---
 .../data/interactive/js/genomeview/drawer.js  | 22 +++++++++++++++++--
 1 file changed, 20 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index c0d345d8d1..533143afcd 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -692,13 +692,31 @@ GenomeDrawer.prototype.centerGenes = function (genes, centerToGeneStart=false) {
 
     nt_disps[genomeID] += (basePad - (nt_disps[genomeID]+genePos));
   });
-  this.draw();
-  this.glowGenes(centeredGenes);
 
   if(!slidingActive) {
     slidingActive = true;
     toggleScaleAttributes();
   }
+
+  this.draw();
+  this.glowGenes(centeredGenes);
+}
+
+GenomeDrawer.prototype.centerGenesToProp = function (category, type, value) {
+  let targetGenes;
+  switch(category) {
+    case 'annotation':
+      targetGenes = getGenesWithAnnotation(type, value);
+      break;
+    case 'metadata':
+      targetGenes = getGenesWithMetadata(type, value);
+      break;
+    default:
+      break;
+  }
+  if(targetGenes.length > 0) {
+    this.centerGenes(targetGenes);
+  }
 }
 
 /*

From 20bdd57058db93d6524f38bedf1aa486a227be61 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 11 May 2023 00:29:02 -0500
Subject: [PATCH 0974/1020] pass centerToGeneStart

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 533143afcd..9e36118191 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -702,7 +702,7 @@ GenomeDrawer.prototype.centerGenes = function (genes, centerToGeneStart=false) {
   this.glowGenes(centeredGenes);
 }
 
-GenomeDrawer.prototype.centerGenesToProp = function (category, type, value) {
+GenomeDrawer.prototype.centerGenesToProp = function (category, type, value, centerToGeneStart=false) {
   let targetGenes;
   switch(category) {
     case 'annotation':
@@ -715,7 +715,7 @@ GenomeDrawer.prototype.centerGenesToProp = function (category, type, value) {
       break;
   }
   if(targetGenes.length > 0) {
-    this.centerGenes(targetGenes);
+    this.centerGenes(targetGenes, centerToGeneStart);
   }
 }
 

From 56cde2d429f2a3280663cab0e7660ffad688df29 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 11 May 2023 00:33:43 -0500
Subject: [PATCH 0975/1020] allow lower case in `getGenesWithAnnotation`

---
 anvio/data/interactive/js/genomeview/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index cd7abde9f8..fb35942e50 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -99,7 +99,7 @@ function getGenesWithAnnotation(annotation_type, annotation_value) {
     let geneFunctions = genome[1]['genes']['functions'];
     if(geneFunctions) {
       for(geneID in geneFunctions) {
-        if(geneFunctions[geneID][annotation_type] && geneFunctions[geneID][annotation_type][1].includes(annotation_value)) {
+        if(geneFunctions[geneID][annotation_type] && geneFunctions[geneID][annotation_type][1].toLowerCase().includes(annotation_value.toLowerCase())) {
           targetGenes.push({genomeID: genome[0], geneID: geneID});
         }
       }

From 3a7f8f911b0fee027a144a159b0f1272466538ec Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 11 May 2023 01:04:01 -0500
Subject: [PATCH 0976/1020] add gene centering UI

---
 anvio/data/interactive/genomeview.html        | 22 +++++++++++++++++++
 .../data/interactive/js/genomeview/drawer.js  | 22 +++++++++++++++++++
 anvio/data/interactive/js/genomeview/main.js  |  1 +
 anvio/data/interactive/js/genomeview/ui.js    |  7 ++++++
 4 files changed, 52 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index c9ee22fba7..22a5f431d4 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -250,6 +250,28 @@ <h4 class="modal-title">Lasso</h4>
             <td>Genome scale interval: </td>
             <td><input id="genome_scale_interval" class="form-control input-sm" type="text" value="100" size="4"></td>
           </tr>
+        </tbody>
+      </table>
+
+      <span class="settings-header">Genome Alignment</span>
+      <table id="genomeAlignmentTable" style="margin-bottom: 20px;">
+        <tbody>
+          <tr>
+            <td>Center genomes to property: </td>
+            <td>
+              <select class="type_multiple" id='center_genomes_category' style="width: 100px;" class="type"></select>
+            </td>
+          </tr>
+          <tr>
+            <td>Prop value:</td>
+            <td><input type="text" class="form-control input-sm" id="center_genes_prop_value" placeholder="e.g. 'lipid transport'">
+            </td>
+          </tr>
+          <tr>
+            <td>
+              <button onclick='drawer.centerGenesFromPropUI()' style="margin-bottom:10px;">Let's Go!</button>
+            </td>
+          </tr>
           <tr>
             <td><button id="alignRulerBtn" type="button" class="btn btn-primary btn-xs" onclick="drawer.alignRulers()"
                 class="btn btn-outline-primary">Align genome rulers</button></td>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 9e36118191..93e2e0ace3 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -719,6 +719,28 @@ GenomeDrawer.prototype.centerGenesToProp = function (category, type, value, cent
   }
 }
 
+GenomeDrawer.prototype.centerGenesFromPropUI = function () {
+  let category, type;
+  switch($('#center_genomes_category').val()) {
+    case 'metadata tag':
+      category = 'metadata';
+      type = 'tag';
+      break;
+    case 'user-defined annotation':
+      category = 'metadata';
+      type = 'annotation';
+      break;
+    default:
+      category = 'annotation';
+      type = $('#center_genomes_category').val();
+      break;
+  }
+
+  let value = $('#center_genes_prop_value').val();
+
+  this.centerGenesToProp(category, type, value);
+}
+
 /*
  *  Shift genomes horizontally to align genes around the target gene cluster.
  *
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 2dfda11917..565b4beb82 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -584,6 +584,7 @@ function loadAll(loadType) {
       }));
     }
     buildGeneLabelsSelect()
+    buildCenterGenomesSelect()
   }
 
   $('#query-results-table').empty();
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 6505891461..1b63b9fec3 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1752,6 +1752,13 @@ function buildGeneLabelsSelect(){
   $('#function_search_category').append(new Option('metadata note', 'metadata note'))
 }
 
+function buildCenterGenomesSelect(){
+  let options = ['metadata tag', 'user-defined annotation'].concat(getFunctionalAnnotations());
+  options.forEach(opt => {
+    $('#center_genomes_category').append(new Option(opt, opt));
+  });
+}
+
 function setGeneVisibilityRange(targetGene, targetGenome){
   let genomeOfInterest = settings['genomeData']['genomes'].filter(genome => genome[0] == targetGenome)
   let maxGeneID = Object.keys(genomeOfInterest[0][1]['genes']['dna']).length

From c0d9ee4639521f26db2d4deed4ead2a7c7bde35d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 11 May 2023 01:08:51 -0500
Subject: [PATCH 0977/1020] center to gene start UI

---
 anvio/data/interactive/genomeview.html         | 9 ++++++++-
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 2 files changed, 9 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 22a5f431d4..339ef655c9 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -242,7 +242,7 @@ <h4 class="modal-title">Lasso</h4>
           <tr id="dynamic_scale">
             <td>Dynamic scale interval</td>
             <td style="float: right">
-              <div style="width: 20px;"><input id="show_dynamic_scale_box" type="checkbox" class="layer_selectors">
+              <div style="width: 20px;"><input id="show_dynamic_scale_box" type="checkbox">
               </div>
             </td>
           </tr>
@@ -267,6 +267,13 @@ <h4 class="modal-title">Lasso</h4>
             <td><input type="text" class="form-control input-sm" id="center_genes_prop_value" placeholder="e.g. 'lipid transport'">
             </td>
           </tr>
+          <tr>
+            <td>Center to gene start:</td>
+            <td >
+              <div style="width: 20px;"><input id="center_to_gene_start_box" type="checkbox">
+              </div>
+            </td>
+          </tr>
           <tr>
             <td>
               <button onclick='drawer.centerGenesFromPropUI()' style="margin-bottom:10px;">Let's Go!</button>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 93e2e0ace3..cbb972e15c 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -738,7 +738,7 @@ GenomeDrawer.prototype.centerGenesFromPropUI = function () {
 
   let value = $('#center_genes_prop_value').val();
 
-  this.centerGenesToProp(category, type, value);
+  this.centerGenesToProp(category, type, value, $('#center_to_gene_start_box').prop('checked'));
 }
 
 /*

From e6da4863c9977bf02bc1692a17927da4f0b40fea Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 11 May 2023 01:16:09 -0500
Subject: [PATCH 0978/1020] center to gene start in state

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 anvio/data/interactive/js/genomeview/main.js   | 2 ++
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index cbb972e15c..032005737d 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -738,7 +738,7 @@ GenomeDrawer.prototype.centerGenesFromPropUI = function () {
 
   let value = $('#center_genes_prop_value').val();
 
-  this.centerGenesToProp(category, type, value, $('#center_to_gene_start_box').prop('checked'));
+  this.centerGenesToProp(category, type, value, $('#center_to_gene_start_box').is(':checked'));
 }
 
 /*
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 565b4beb82..0d1d2804c5 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -322,6 +322,7 @@ function serializeSettings() {
   state['display']['thresh-count-gene-colors'] = $('#thresh_count').val() // min # occurences of annotation for filtering gene color table
   state['display']['adlPtsPerLayer'] = $('#adl_pts_per_layer').val() // number of data points to be subsampled per ADL. TODO: more meaningful default?
   state['display']['user-defined-colors'] = $('#user_defined_colors').is(':checked')
+  state['display']['center-genes-to-start'] = $('#center_to_gene_start_box').is(':checked')
 
   $('.genome_selectors').each((idx, row) => {
     let genome = row.id.split('-')[0]
@@ -552,6 +553,7 @@ function processState(stateName, stateData) {
   $('#show_dynamic_scale_box').prop("checked", settings['display']['dynamic-scale-interval']);
   $('#link_gene_label_color_source_box').prop("checked", settings['display']['link-gene-label-color-source']);
   $('#user_defined_colors').prop("checked", settings['display']['user-defined-colors']);
+  $('#center_to_gene_start_box').prop('checked', settings['display']['center-genes-to-start'])
 }
 
 function loadAll(loadType) {

From 3b7584ed5b9d6168ef170a5ee4d629d06d21dde6 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 11 May 2023 01:27:32 -0500
Subject: [PATCH 0979/1020] update hidden scale UI on moveTo for genome sliding

---
 anvio/data/interactive/js/genomeview/navigation.js | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 607905a862..5d4e0fa90c 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -228,6 +228,12 @@ function moveTo(start, stop, genomeID=null) {
   // render newly selected nt range
   updateRenderWindow();
   drawer.draw();
+
+  if(slidingActive) {
+    // update hidden UI so they will be saved in state
+    $('#brush_start').val(start);
+    $('#brush_end').val(stop);
+  }
 }
 
 /*

From f28b339ebd473a9778a23129d6276a9d2c6ec422 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 11 May 2023 01:50:15 -0500
Subject: [PATCH 0980/1020] reenable scale if genomes align perfectly

---
 .../data/interactive/js/genomeview/drawer.js  | 20 +++++++++++++++++--
 1 file changed, 18 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 032005737d..2fec302243 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -693,9 +693,25 @@ GenomeDrawer.prototype.centerGenes = function (genes, centerToGeneStart=false) {
     nt_disps[genomeID] += (basePad - (nt_disps[genomeID]+genePos));
   });
 
-  if(!slidingActive) {
-    slidingActive = true;
+  // reenable scale if all genomes are aligned
+  let disps = Object.values(settings.display.nt_disps);
+  if(disps.every(x => x==disps[0])) {
+    for (genome of this.settings['genomeData']['genomes']) {
+      nt_disps[genome[0]] = 0;
+    }
+    moveTo(parseInt($('#brush_start').val())-disps[0], parseInt($('#brush_end').val())-disps[0]) // shift viewport to same location
+    drawScale();
+    bindViewportToWindow();
+    updateScalePos();
+    updateRenderWindow();
+    slidingActive = false;
     toggleScaleAttributes();
+    toastr.success('Genomes aligned perfectly! Scale and bookmarks have been reenabled :)');
+  } else {
+    if(!slidingActive) {
+      slidingActive = true;
+      toggleScaleAttributes();
+    }
   }
 
   this.draw();

From 620660041a8451fce984dc65cae486049a5190a5 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 11 May 2023 16:55:42 -0500
Subject: [PATCH 0981/1020] fix

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 2fec302243..09fe5cb42b 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -694,8 +694,8 @@ GenomeDrawer.prototype.centerGenes = function (genes, centerToGeneStart=false) {
   });
 
   // reenable scale if all genomes are aligned
-  let disps = Object.values(settings.display.nt_disps);
-  if(disps.every(x => x==disps[0])) {
+  let disps = settings['display']['nt_disps'] ? Object.values(settings.display.nt_disps) : null;
+  if(disps && disps.every(x => x==disps[0])) {
     for (genome of this.settings['genomeData']['genomes']) {
       nt_disps[genome[0]] = 0;
     }

From 54475ff9260ad4cd83adbf0823f0e7e73ed2671e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 11 May 2023 18:55:59 -0500
Subject: [PATCH 0982/1020] fix genome label alignment with genome layer

---
 anvio/data/interactive/js/genomeview/ui.js | 12 +++++++++---
 1 file changed, 9 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 01905dc5f0..3c721ef61c 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1797,15 +1797,21 @@ function drawGenomeLabels(fontsize=null) {
       hoverCursor: 'default'
     });
     if(!$('#rotate_genome_labels_box').prop("checked")) {
-      let layersBefore = settings['group-layer-order'].indexOf('Genome');
+      let layers = settings['group-layer-order'].filter(layer => $(`#${layer}-show`).is(':checked'));
+      let layersBefore = layers.indexOf('Genome');
       let rulerBefore = false;
-      if(settings['group-layer-order'].indexOf('Ruler') < layersBefore) {
+      if((layers.indexOf('Ruler') != -1) && (layers.indexOf('Ruler') < layersBefore)) {
         layersBefore--;
         rulerBefore = true;
       }
       let [dataLayerHeight, rulerHeight] = drawer.calculateLayerSizes();
       // center label on genome layer
-      label.top = label.top - genomeHeight + (rulerBefore ? rulerHeight : 0) + layersBefore*dataLayerHeight + dataLayerHeight/2 + (layersBefore+rulerBefore)*groupLayerPadding - label.height/2 + 5;
+      if(layers.length == 1 || layersBefore == -1) { // just one layer or no genome layer
+        if(layers[0] == 'Ruler') return;
+        label.top -= (genomeHeight/2 + label.height/2);
+      } else {
+        label.top = label.top - genomeHeight + (rulerBefore ? rulerHeight : 0) + layersBefore*dataLayerHeight + dataLayerHeight/2 + (layersBefore+rulerBefore)*groupLayerPadding - label.height/2 + 5;
+      }
     }
     labelCanvas.add(label);
   });

From cc568627ca89d19418faedb4cd26486f1fd05f7f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 11 May 2023 19:39:02 -0500
Subject: [PATCH 0983/1020] fix

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 09fe5cb42b..f913ae1dd5 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -694,8 +694,8 @@ GenomeDrawer.prototype.centerGenes = function (genes, centerToGeneStart=false) {
   });
 
   // reenable scale if all genomes are aligned
-  let disps = settings['display']['nt_disps'] ? Object.values(settings.display.nt_disps) : null;
-  if(disps && disps.every(x => x==disps[0])) {
+  let disps = Object.values(nt_disps);
+  if(disps.every(x => x==disps[0])) {
     for (genome of this.settings['genomeData']['genomes']) {
       nt_disps[genome[0]] = 0;
     }

From b38765a87212eb77e57284643c33da00d02c4422 Mon Sep 17 00:00:00 2001
From: mschechter <mschechter.lb@gmail.com>
Date: Sun, 14 May 2023 10:00:32 -0500
Subject: [PATCH 0984/1020] Make --genome-view-db argument abbreviation more
 unique

---
 anvio/__init__.py        | 2 +-
 bin/anvi-display-genomes | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/__init__.py b/anvio/__init__.py
index f3e9060d10..97d7370535 100644
--- a/anvio/__init__.py
+++ b/anvio/__init__.py
@@ -167,7 +167,7 @@ def TABULATE(table, header, numalign="right", max_width=0):
              'help': "Anvi'o structure database."}
                 ),
     'genome-view-db': (
-            ['-E', '--genome-view-db'],
+            ['-V', '--genome-view-db'],
             {'metavar': "GENOME_VIEW_DB",
              'required': True,
              'help': "Anvi'o genome view database."}
diff --git a/bin/anvi-display-genomes b/bin/anvi-display-genomes
index 75eb3e6a78..6911fc549a 100755
--- a/bin/anvi-display-genomes
+++ b/bin/anvi-display-genomes
@@ -52,7 +52,7 @@ if __name__ == '__main__':
     groupE = parser.add_argument_group('OPTIONAL INPUTS', "Where the yay factor becomes a reality.")
     groupE.add_argument(*anvio.A('tree'), **anvio.K('tree'))
 
-    groupF = parser.add_argument_group('VISUALS RELATED', "Parameters that give access to various adjustements regarding\
+    groupF = parser.add_argument_group('VISUALS RELATED', "Parameters that give access to various adjustments regarding\
                                                            the interface.")
     groupF.add_argument(*anvio.A('title'), **anvio.K('title'))
 

From fda176589255acd55d133eb782a55138c9a33d0d Mon Sep 17 00:00:00 2001
From: mschechter <mschechter.lb@gmail.com>
Date: Sun, 14 May 2023 10:20:21 -0500
Subject: [PATCH 0985/1020] fix component test

---
 anvio/tests/run_component_tests_for_genome_view.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/tests/run_component_tests_for_genome_view.sh b/anvio/tests/run_component_tests_for_genome_view.sh
index 2783afa68b..e1bc5f136a 100755
--- a/anvio/tests/run_component_tests_for_genome_view.sh
+++ b/anvio/tests/run_component_tests_for_genome_view.sh
@@ -15,4 +15,4 @@ anvi-script-gen-genomes-file --input-dir $output_dir \
 
 INFO "Running genome view"
 anvi-display-genomes -e $output_dir/external-genomes.txt \
-                     -E $output_dir/genome-view.db
+                     -V $output_dir/genome-view.db

From fcab8a2b833dd8524d29b4a3a95a54df38c6ed2b Mon Sep 17 00:00:00 2001
From: mschechter <mschechter.lb@gmail.com>
Date: Sun, 14 May 2023 10:27:26 -0500
Subject: [PATCH 0986/1020] genome-view only works with contigs-dbs with ONE
 contig

---
 anvio/interactive.py | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/anvio/interactive.py b/anvio/interactive.py
index 79d5616f5d..f6653f073e 100644
--- a/anvio/interactive.py
+++ b/anvio/interactive.py
@@ -1905,6 +1905,7 @@ def __init__(self, args, run=run, progress=progress, skip_init=False):
             self.init_genome_view_db()
 
 
+
     def init_genome_view_db(self):
         """Dealings with the genome view database.
         This function will 'create' a genome view database if there is no such database
@@ -1912,6 +1913,16 @@ def init_genome_view_db(self):
         that it matches to the list of genomes aggregated during init.
         """
 
+        for name in self.genome_names:
+            num_contigs = len(self.get_contigs_dict(name)['info'].keys())
+            if num_contigs > 1:
+                raise ConfigError(f"The genome-view only works with contigs-dbs that have a single contig. "
+                                  f"The genome {name} has {num_contigs} contigs. "
+                                  f"anvi'o is sorry about this limitation and will try to fix it in the future. "
+                                  f"Meanwhile, you can use the `anvi-export-contigs` program to split up your contigs-db. "
+                                  f"Common scenarios: (1) You might have a sneaky plasmid contig in your contigs-db :) "
+                                  f"(2) You might be trying to visualize a MAG that that contains multiple contigs.")
+
         if not len(self.genomes):
             raise ConfigError("Someone asked anvi'o to initialize a genome view databse, but then "
                               "the class has aggregated zero genomes :( Something is wrong here.")

From f2895f8b02eb17ee801ccc1d27ead333670fa555 Mon Sep 17 00:00:00 2001
From: mschechter <mschechter.lb@gmail.com>
Date: Sun, 14 May 2023 11:00:36 -0500
Subject: [PATCH 0987/1020] Remove unused help menu items

---
 bin/anvi-display-genomes | 48 ++++++++++++++++------------------------
 1 file changed, 19 insertions(+), 29 deletions(-)

diff --git a/bin/anvi-display-genomes b/bin/anvi-display-genomes
index 6911fc549a..817249f05c 100755
--- a/bin/anvi-display-genomes
+++ b/bin/anvi-display-genomes
@@ -35,40 +35,30 @@ progress = terminal.Progress()
 if __name__ == '__main__':
     parser = ArgumentParser(description=__description__)
 
-    groupA = parser.add_argument_group('GENOMES', "Tell anvi'o where your genomes are.")
+    groupA = parser.add_argument_group('GENOMES', "Tell anvi'o where to find your contigs-dbs.")
     groupA.add_argument(*anvio.A('external-genomes'), **anvio.K('external-genomes'))
     groupA.add_argument(*anvio.A('internal-genomes'), **anvio.K('internal-genomes'))
 
-    groupB = parser.add_argument_group('GENOME VIEW DB', "This is a database to store the display settings, bookmarks, etc. If "
-                                "there is no database at the path specified, it will be AUTOMATICALLY generated.")
+    groupB = parser.add_argument_group('GENOME VIEW DB', "This is an anvi'o database to store genome-view the display settings, bookmarks, etc. If "
+                                                         "there is no database at the path specified, it will be AUTOMATICALLY generated.")
     groupB.add_argument(*anvio.A('genome-view-db'), **anvio.K('genome-view-db', {'required': True}))
 
-    groupC = parser.add_argument_group('GENE ASSOCIATIONS', "Tell anvi'o how genes in your genomes relate to one another.")
-    groupC.add_argument(*anvio.A('pan-db'), **anvio.K('pan-db', {'required': False}))
-
-    groupD = parser.add_argument_group("PRO STUFF", "Tell anvi'o which gene caller to use.")
-    groupD.add_argument(*anvio.A('gene-caller'), **anvio.K('gene-caller'))
-
-    groupE = parser.add_argument_group('OPTIONAL INPUTS', "Where the yay factor becomes a reality.")
-    groupE.add_argument(*anvio.A('tree'), **anvio.K('tree'))
-
-    groupF = parser.add_argument_group('VISUALS RELATED', "Parameters that give access to various adjustments regarding\
-                                                           the interface.")
-    groupF.add_argument(*anvio.A('title'), **anvio.K('title'))
-
-    groupG = parser.add_argument_group('SWEET PARAMS OF CONVENIENCE', "Parameters and flags that are not quite essential (but nice to have).")
-    groupG.add_argument(*anvio.A('dry-run'), **anvio.K('dry-run'))
-    groupG.add_argument(*anvio.A('skip-auto-ordering'), **anvio.K('skip-auto-ordering'))
-    groupG.add_argument(*anvio.A('skip-news'), **anvio.K('skip-news'))
-
-    groupH = parser.add_argument_group('SERVER CONFIGURATION', "For power users.")
-    groupH.add_argument(*anvio.A('ip-address'), **anvio.K('ip-address'))
-    groupH.add_argument(*anvio.A('port-number'), **anvio.K('port-number'))
-    groupH.add_argument(*anvio.A('browser-path'), **anvio.K('browser-path'))
-    groupH.add_argument(*anvio.A('read-only'), **anvio.K('read-only'))
-    groupH.add_argument(*anvio.A('server-only'), **anvio.K('server-only'))
-    groupH.add_argument(*anvio.A('password-protected'), **anvio.K('password-protected'))
-    groupH.add_argument(*anvio.A('user-server-shutdown'), **anvio.K('user-server-shutdown'))
+    groupC = parser.add_argument_group("PRO STUFF", "Tell anvi'o which gene caller to use.")
+    groupC.add_argument(*anvio.A('gene-caller'), **anvio.K('gene-caller'))
+
+    groupD = parser.add_argument_group('SWEET PARAMS OF CONVENIENCE', "Parameters and flags that are not quite essential (but nice to have).")
+    groupD.add_argument(*anvio.A('dry-run'), **anvio.K('dry-run'))
+    groupD.add_argument(*anvio.A('skip-auto-ordering'), **anvio.K('skip-auto-ordering'))
+    groupD.add_argument(*anvio.A('skip-news'), **anvio.K('skip-news'))
+
+    groupE = parser.add_argument_group('SERVER CONFIGURATION', "For power users.")
+    groupE.add_argument(*anvio.A('ip-address'), **anvio.K('ip-address'))
+    groupE.add_argument(*anvio.A('port-number'), **anvio.K('port-number'))
+    groupE.add_argument(*anvio.A('browser-path'), **anvio.K('browser-path'))
+    groupE.add_argument(*anvio.A('read-only'), **anvio.K('read-only'))
+    groupE.add_argument(*anvio.A('server-only'), **anvio.K('server-only'))
+    groupE.add_argument(*anvio.A('password-protected'), **anvio.K('password-protected'))
+    groupE.add_argument(*anvio.A('user-server-shutdown'), **anvio.K('user-server-shutdown'))
 
     args = parser.get_args(parser)
 

From 73dc6f770b8af2026b86a68f3ae372237b6f0d81 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 16 May 2023 19:42:26 -0500
Subject: [PATCH 0988/1020] fix

---
 anvio/data/interactive/js/genomeview/utils.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 78615b47c7..140e7936af 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -44,7 +44,7 @@ function calculateGenomeLengths(){
   for(genome of genomeData.genomes) {
     let genomeID = genome[0]
     genome = genome[1].genes.gene_calls;
-    let genomeEnd = genome[Object.keys(genome).length-1].stop;
+    let genomeEnd = Object.values(genome)[Object.keys(genome).length-1].stop;
     genomeMax[genomeID] = genomeEnd;
     if(genomeEnd > globalGenomeMax) globalGenomeMax = genomeEnd;
   }

From b81bd0a4df65fcb778abd3a327c064a239c06c6a Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 17 May 2023 18:44:44 -0500
Subject: [PATCH 0989/1020] show genome in mouseover panel

---
 anvio/data/interactive/genomeview.html     | 1 +
 anvio/data/interactive/js/genomeview/ui.js | 1 +
 2 files changed, 2 insertions(+)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 54f6813c86..fc1b93e701 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -561,6 +561,7 @@ <h4 class="modal-title">Lasso</h4>
       style="display: block; font-size: 11px; transform: rotate(90deg);"><u>M</u>OUSE</span>
   </div>
   <div id="mouseover-panel">
+    <h3 id='mouseover-panel-genome' style="font-size: 20px"></h3>
     <h2>Gene Call</h2>
     <table class="table table-striped" style="width: 100%; text-align: center;">
       <thead>
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 3c721ef61c..a3a2aa63fc 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -713,6 +713,7 @@ function showToolTip(event){
       `
     }
   }
+  $('#mouseover-panel-genome').text(`Genome: ${event.target.genomeID}`)
   $('#mouseover-panel-table-body').append(`
     <tr>
       <td> ${event.target.geneID}</td>

From ecbc7cc6289e6c3d5930f37e01da521028b08f97 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 17 May 2023 21:05:20 -0500
Subject: [PATCH 0990/1020] do not truncate genome labels

---
 anvio/data/interactive/js/genomeview/main.js | 4 ++--
 anvio/data/interactive/js/genomeview/ui.js   | 8 ++++++--
 2 files changed, 8 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 087e709b6f..25d45bd8d4 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -46,7 +46,7 @@ var percentScale = false; // if true, scale measured in proportions (0-1) of tot
 var order_gene_colors_by_count = true; // if true, order annotations on gene color table by descending order of count, otherwise order alphabetically
 var filter_gene_colors_to_window = false; // if true, only display gene colors in current render window, otherwise show all gene colors in split
 var firstDraw = true // flag to determine whether to set zoom to initial zoom level
-var GENOME_LABEL_CHAR_LIMIT = 20; // truncate to arbitrary character limit for genome labels
+var maxLabelWidth = 0;
 var canvas;
 var labelCanvas;
 var brush;
@@ -608,7 +608,6 @@ function loadAll(loadType) {
   brush.extent([start, stop]);
   brush(d3.select(".brush"));
   updateRenderWindow();
-  setLabelCanvas(); // set a second time to adjust to new brush extent
   
   console.log('Sending this data obj to GenomeDrawer', settings)
   drawer = new GenomeDrawer(settings)
@@ -618,6 +617,7 @@ function loadAll(loadType) {
   $('#genome_label_color').css('background-color', settings['display']['colors']['genome-label']);
   $('#genome_label_color').attr('color', settings['display']['colors']['genome-label']);
   drawGenomeLabels(settings['display']['genome-label-size']);
+  setLabelCanvas(); // set a second time to adjust to new brush extent
 
   toastr.success(`Successfully loaded from ${settings['state-name']} state`)
 }
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index a3a2aa63fc..b30f90540a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1408,7 +1408,7 @@ function toggleAdditionalDataLayer(e){
 }
 
 function setLabelCanvas() {
-  labelCanvasWidth = $('#rotate_genome_labels_box').prop("checked") ? settings['display']['genome-label-size'] * 7/3 : settings['display']['genome-label-size'] * 25/3;
+  labelCanvasWidth = $('#rotate_genome_labels_box').prop("checked") ? settings['display']['genome-label-size'] * 7/3 : maxLabelWidth * 1.15;
   if(settings['display']['show-genome-labels']) {
     labelCanvas.setWidth(labelCanvasWidth);
     canvas.setWidth((VIEWER_WIDTH * 0.90) - labelCanvasWidth);
@@ -1786,9 +1786,11 @@ function drawGenomeLabels(fontsize=null) {
                 ? ($('.genome_selectors:checked').map((_,el) => el.id.split('-')[0]).toArray())
                 : (settings['genomeData']['genomes'].map(g => g[0]));
   
+  let labelWidth = 0;
+
   genomes.forEach((genomeName,i) => {
     let genomeHeight = spacing + maxGroupSize * groupLayerPadding;
-    let label = new fabric.Text(genomeName.substring(0,GENOME_LABEL_CHAR_LIMIT), {
+    let label = new fabric.Text(genomeName, {
       angle: $('#rotate_genome_labels_box').prop("checked") ? 270 : 0,
       top: marginTop + genomeHeight + i*(groupMargin+genomeHeight),
       fill: $('#genome_label_color').attr('color'),
@@ -1797,6 +1799,7 @@ function drawGenomeLabels(fontsize=null) {
       selectable: false,
       hoverCursor: 'default'
     });
+    labelWidth = Math.max(label.width, labelWidth);
     if(!$('#rotate_genome_labels_box').prop("checked")) {
       let layers = settings['group-layer-order'].filter(layer => $(`#${layer}-show`).is(':checked'));
       let layersBefore = layers.indexOf('Genome');
@@ -1815,6 +1818,7 @@ function drawGenomeLabels(fontsize=null) {
       }
     }
     labelCanvas.add(label);
+    maxLabelWidth = labelWidth;
   });
 }
 

From 748ac17cdcd64c6c87576154107b86b9ef1b5c26 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 18 May 2023 00:25:38 -0500
Subject: [PATCH 0991/1020] fix gene label x-pos

---
 anvio/data/interactive/js/genomeview/drawer.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 9b72b88cfb..0abfcb9e97 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -193,7 +193,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
         hoverCursor: 'text'
       });
       
-      label.left = xDisps[genomeID] + (((gene.start + gene.stop) / 2) - label.width/2) * scaleFactor;
+      label.left = xDisps[genomeID] + (((gene.start + gene.stop) / 2)) * scaleFactor - label.width/4;
 
       if (this.settings['display']['arrow-style'] == 3) {
         label.set({

From 71da85571ccc02c0870f2e46ff61a73382b1187a Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 18 May 2023 00:26:17 -0500
Subject: [PATCH 0992/1020] dynamically add more chars to gene labels when font
 size changes to match gene width

---
 anvio/data/interactive/js/genomeview/drawer.js | 13 +++++++++----
 1 file changed, 9 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 0abfcb9e97..bd78e2d7fd 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -231,16 +231,21 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
         // B) the selected value from the #gene_label_source dropdown === the source object itself (and it should, since we build the dropdown programmatically!)
         // this below logic should retrieve the correct annotation value, regardless of source
         if (genomeOfInterest[0][1]['genes']['functions'][geneID]?.hasOwnProperty(source) && genomeOfInterest[0][1]['genes']['functions'][geneID][source]) {
-          return ellipsisMachine(genomeOfInterest[0][1]['genes']['functions'][geneID][source][1])
+          let gene = genomeOfInterest[0][1]['genes']['gene_calls'][geneID]
+          let geneWidth = scaleFactor * (gene.stop - gene.start)
+          let charWidthEstimate = 0.3 * settings['display']['gene-label-size'];
+          let charLimit = Math.floor(geneWidth / charWidthEstimate)
+          if(charLimit < 5) return ""; 
+          return ellipsisMachine(genomeOfInterest[0][1]['genes']['functions'][geneID][source][1], charLimit)
         } else {
           return 'None'
         }
       }
     }
 
-    function ellipsisMachine(string) { // add ellipsis only to truncated gene label values
-      if (string.substring(0, 20).length == 20) {
-        return `${string.substring(0, 20)}...`
+    function ellipsisMachine(string, maxLen=20) { // add ellipsis only to truncated gene label values
+      if (string.substring(0, maxLen).length == maxLen) {
+        return `${string.substring(0, maxLen)}...`
       } else {
         return string
       }

From a288be0133b260a43660dd1d830384bf49c9be5f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 18 May 2023 00:46:08 -0500
Subject: [PATCH 0993/1020] combine mouse:down listeners

---
 anvio/data/interactive/js/genomeview/ui.js | 14 ++++++--------
 1 file changed, 6 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index c48bc2b473..a5342e1816 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -36,10 +36,15 @@ function setCanvasListeners(){
   // panning
   canvas.on('mouse:down', function (opt) {
     var evt = opt.e;
-    if (evt.shiftKey === true) {
+    if (evt.shiftKey) {
       this.isDragging = true;
       this.selection = false;
       this.lastPosX = evt.clientX;
+    } else {
+      if(opt.target && opt.target.id === 'arrow'){
+        showDeepDiveToolTip(opt)
+      }
+      $('#lasso-modal-body').modal('hide')
     }
     this.shades = true;
     if (opt.target && opt.target.groupID) this.prev = opt.target.left;
@@ -150,13 +155,6 @@ function setCanvasListeners(){
       canvas.discardActiveObject();
     }
   })
-
-  canvas.on('mouse:down', (event) => {
-    if(event.target && event.target.id === 'arrow'){
-      showDeepDiveToolTip(event)
-    }
-    $('#lasso-modal-body').modal('hide')
-  })
 }
 
 /*

From f008bb5ccc338ae6aa4f69af6231e0e784ea209c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 18 May 2023 00:46:22 -0500
Subject: [PATCH 0994/1020] disable shift + click multiselection

---
 anvio/data/interactive/js/genomeview/ui.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index a5342e1816..5f6e0f19d5 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -40,6 +40,7 @@ function setCanvasListeners(){
       this.isDragging = true;
       this.selection = false;
       this.lastPosX = evt.clientX;
+      canvas.discardActiveObject();
     } else {
       if(opt.target && opt.target.id === 'arrow'){
         showDeepDiveToolTip(opt)

From abcfdd286803c42ff8028e5a9047b29e9796c07e Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 18 May 2023 15:55:50 -0500
Subject: [PATCH 0995/1020] slide genomes on alt+click and drag

---
 anvio/data/interactive/js/genomeview/drawer.js |  8 ++++----
 anvio/data/interactive/js/genomeview/ui.js     | 16 +++++++++++++---
 2 files changed, 17 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 8d07262c90..510f86509f 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -151,7 +151,7 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
     top: y + 4,
     stroke: 'black',
     strokeWidth: 2,
-    selectable: true,
+    selectable: false,
     lockMovementY: true,
     hasControls: false,
     hasBorders: false,
@@ -410,7 +410,7 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function (genomeID, layerPos, laye
       hasBorders: false,
       lockScaling: true,
       objectCaching: false,
-      selectable: true,
+      selectable: false,
       hoverCursor: 'default',
       groupID: genomeID,
       class: 'ruler'
@@ -535,9 +535,9 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
   arrow.set({
     id: 'arrow',
     groupID: genomeID,
-    lockMovementX: true,
+    lockMovementX: false,
     lockMovementY: true,
-    selectable: true,
+    selectable: false,
     hasControls: false,
     hasBorders: false,
     lockScaling: true,
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 5f6e0f19d5..6f166b23fc 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -40,15 +40,15 @@ function setCanvasListeners(){
       this.isDragging = true;
       this.selection = false;
       this.lastPosX = evt.clientX;
-      canvas.discardActiveObject();
+    } else if (evt.altKey) {
+      this.shades = true;
+      if (opt.target && opt.target.groupID) this.prev = opt.target.left;
     } else {
       if(opt.target && opt.target.id === 'arrow'){
         showDeepDiveToolTip(opt)
       }
       $('#lasso-modal-body').modal('hide')
     }
-    this.shades = true;
-    if (opt.target && opt.target.groupID) this.prev = opt.target.left;
   });
   canvas.on('mouse:move', function (opt) {
     if (this.isDragging) {
@@ -208,6 +208,16 @@ function setEventListeners(){
       $('#toggle-tabular-modal-button').click();
     }
   }, {passive: true});
+  document.body.addEventListener("keydown", function (ev) {
+    if (ev.which == 18 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // Alt = 18
+      canvas.getObjects().forEach(o => o.selectable = true);
+    }
+  }, {passive: true});
+  document.body.addEventListener("keyup", function (ev) {
+    if (ev.which == 18 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // Alt = 18
+      canvas.getObjects().forEach(o => o.selectable = false);
+    }
+  }, {passive: true});
   $('#genome_spacing').on('keydown', function (e) {
     if (e.keyCode == 13) { // 13 = enter key
       drawer.setGenomeSpacing($(this).val());

From 58f4dfb9e19b9bae9ff9960bdba3e61ef194b69c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 18 May 2023 16:31:21 -0500
Subject: [PATCH 0996/1020] fix alt+click dragging + consolidate keydown
 listeners into one

---
 .../data/interactive/js/genomeview/drawer.js  |  4 +-
 anvio/data/interactive/js/genomeview/ui.js    | 71 +++++++++----------
 2 files changed, 35 insertions(+), 40 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 510f86509f..02690cce03 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -410,7 +410,7 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function (genomeID, layerPos, laye
       hasBorders: false,
       lockScaling: true,
       objectCaching: false,
-      selectable: false,
+      selectable: canvas.shades, // if a genome is currently being dragged
       hoverCursor: 'default',
       groupID: genomeID,
       class: 'ruler'
@@ -537,7 +537,7 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
     groupID: genomeID,
     lockMovementX: false,
     lockMovementY: true,
-    selectable: false,
+    selectable: canvas.shades, // if a genome is currently being dragged
     hasControls: false,
     hasBorders: false,
     lockScaling: true,
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 6f166b23fc..03dfabd789 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -41,7 +41,6 @@ function setCanvasListeners(){
       this.selection = false;
       this.lastPosX = evt.clientX;
     } else if (evt.altKey) {
-      this.shades = true;
       if (opt.target && opt.target.groupID) this.prev = opt.target.left;
     } else {
       if(opt.target && opt.target.id === 'arrow'){
@@ -49,6 +48,7 @@ function setCanvasListeners(){
       }
       $('#lasso-modal-body').modal('hide')
     }
+    this.shades = true;
   });
   canvas.on('mouse:move', function (opt) {
     if (this.isDragging) {
@@ -175,49 +175,44 @@ function setEventListeners(){
   //   }
   // });
   document.body.addEventListener("keydown", function (ev) {
-    if (ev.which == 83 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // S = 83
-      toggleRightPanel('#settings-panel')
-    }
-  });
-  document.body.addEventListener("keydown", function (ev) {
-    if (ev.which == 77 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // M = 77
-      toggleRightPanel('#mouseover-panel')
-    }
-  });
-  document.body.addEventListener("keydown", function (ev) {
-    if (ev.which == 81 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // Q = 81
-      toggleRightPanel('#query-panel')
-    }
-  });
-  document.body.addEventListener("keydown", function (ev) {
-    if (ev.which == 37 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // Left Arrow = 37
-      let [start, stop] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-      if(start - 1000 < 0) return;
-      moveToAndUpdateScale(start - 1000, stop - 1000, transition=false);
-    }
-  });
-  document.body.addEventListener("keydown", function (ev) {
-    if (ev.which == 39 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // Right Arrow = 39
-      let [start, stop] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
-      if(stop + 1000 > globalGenomeMax) return;
-      moveToAndUpdateScale(start + 1000, stop + 1000, transition=false);
+    if(ev.target.nodeName === 'TEXTAREA' || ev.target.nodeName === 'INPUT') return;
+    switch(ev.which) {
+      case 83: // S = 83
+        toggleRightPanel('#settings-panel')
+        break
+      case 77: // M
+        toggleRightPanel('#mouseover-panel')
+        break
+      case 81: // Q
+        toggleRightPanel('#query-panel')
+        break
+      case 37: // Left Arrow
+        let [start, stop] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+        if(start - 1000 < 0) return;
+        moveToAndUpdateScale(start - 1000, stop - 1000, transition=false);
+        break;
+      case 39: // Right Arrow
+        if (ev.which == 39 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') {
+          let [start, stop] = [parseInt($('#brush_start').val()), parseInt($('#brush_end').val())];
+          if(stop + 1000 > globalGenomeMax) return;
+          moveToAndUpdateScale(start + 1000, stop + 1000, transition=false);
+        }
+        break;
+      case 86: // V
+        $('#toggle-tabular-modal-button').click();
+        break
+      case 18: // Alt
+        canvas.getObjects().filter(o => o.id != 'genomeLine' && !String(o.id).includes('graph-shaded')).forEach(o => o.selectable = true);
+        console.log("objects are now selectable.")
+        break
     }
   });
-  document.body.addEventListener("keydown", function (ev) {
-    if (ev.which == 86 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // V = 86
-      $('#toggle-tabular-modal-button').click();
-    }
-  }, {passive: true});
-  document.body.addEventListener("keydown", function (ev) {
-    if (ev.which == 18 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // Alt = 18
-      canvas.getObjects().forEach(o => o.selectable = true);
-    }
-  }, {passive: true});
   document.body.addEventListener("keyup", function (ev) {
     if (ev.which == 18 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // Alt = 18
-      canvas.getObjects().forEach(o => o.selectable = false);
+      canvas.getObjects().filter(o => o.id != 'genomeLine' && !String(o.id).includes('graph-shaded')).forEach(o => o.selectable = false);
     }
   }, {passive: true});
+
   $('#genome_spacing').on('keydown', function (e) {
     if (e.keyCode == 13) { // 13 = enter key
       drawer.setGenomeSpacing($(this).val());

From e8b066186d3375e788547197e93f4a4887e413ac Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 18 May 2023 16:31:42 -0500
Subject: [PATCH 0997/1020] clean

---
 anvio/data/interactive/js/genomeview/ui.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 03dfabd789..3fef138544 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -203,7 +203,6 @@ function setEventListeners(){
         break
       case 18: // Alt
         canvas.getObjects().filter(o => o.id != 'genomeLine' && !String(o.id).includes('graph-shaded')).forEach(o => o.selectable = true);
-        console.log("objects are now selectable.")
         break
     }
   });

From 85a992c5e031e4cf1fec39c7d3379da8195a185f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 18 May 2023 16:43:44 -0500
Subject: [PATCH 0998/1020] shift+alt drag bug fix

---
 anvio/data/interactive/js/genomeview/ui.js | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 3fef138544..ea02ab1ef1 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -36,12 +36,12 @@ function setCanvasListeners(){
   // panning
   canvas.on('mouse:down', function (opt) {
     var evt = opt.e;
-    if (evt.shiftKey) {
+    if(evt.altKey) {
+      if (opt.target && opt.target.groupID) this.prev = opt.target.left;
+    } else if (evt.shiftKey) {
       this.isDragging = true;
       this.selection = false;
       this.lastPosX = evt.clientX;
-    } else if (evt.altKey) {
-      if (opt.target && opt.target.groupID) this.prev = opt.target.left;
     } else {
       if(opt.target && opt.target.id === 'arrow'){
         showDeepDiveToolTip(opt)
@@ -202,6 +202,7 @@ function setEventListeners(){
         $('#toggle-tabular-modal-button').click();
         break
       case 18: // Alt
+        if(ev.shiftKey) {console.log("shift+alt");break;}
         canvas.getObjects().filter(o => o.id != 'genomeLine' && !String(o.id).includes('graph-shaded')).forEach(o => o.selectable = true);
         break
     }

From f65472ac65144052aeeaea7b6c3a68c9cb9bb7bd Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 18 May 2023 17:00:35 -0500
Subject: [PATCH 0999/1020] clean

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index ea02ab1ef1..d9d1b740f5 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -202,7 +202,7 @@ function setEventListeners(){
         $('#toggle-tabular-modal-button').click();
         break
       case 18: // Alt
-        if(ev.shiftKey) {console.log("shift+alt");break;}
+        if(ev.shiftKey) break;
         canvas.getObjects().filter(o => o.id != 'genomeLine' && !String(o.id).includes('graph-shaded')).forEach(o => o.selectable = true);
         break
     }

From c044eb8c5b2dd61f2e18293bb86627a14844880d Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 18 May 2023 19:28:30 -0500
Subject: [PATCH 1000/1020] clamp moveTo to genome bounds

---
 anvio/data/interactive/js/genomeview/drawer.js     | 2 +-
 anvio/data/interactive/js/genomeview/navigation.js | 7 ++++++-
 2 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 02690cce03..a62c312b4b 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -691,7 +691,7 @@ GenomeDrawer.prototype.centerGenes = function (genes, centerToGeneStart=false) {
       // pan to this gene
       let gene = this.settings['genomeData']['genomes'].find(g=>g[0]==genomeID)[1].genes.gene_calls[targetGeneID];
       let len = gene.stop - gene.start;
-      moveTo(gene.start - len*3, gene.stop + len*3, genomeID);
+      moveTo(gene.start - len*3 - 10000, gene.stop + len*3 + 10000, genomeID);
       return;
     }
 
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index 5d4e0fa90c..fab525e3a1 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -214,7 +214,12 @@ function moveToAndUpdateScale(start, stop, transition=true) {
 /*
  *  Pan viewport to new [start, stop] location.
  */
-function moveTo(start, stop, genomeID=null) {
+function moveTo(start, stop, genomeID=null) { // make sure start, stop in bounds of genome
+  // clamp start and stop to bounds of genome
+  let [lbound, rbound] = genomeID ? calcXBoundsForGenome(genomeID).map(x => x / scaleFactor) : calcNTBounds();
+  start = clamp(start, lbound, rbound);
+  stop = clamp(stop, lbound, rbound);
+
   // zoom + pan viewport to new location
   let ntsToShow = stop - start;
   scaleFactor = canvas.getWidth() / ntsToShow;

From ce710d2587c386ce64747d3145c84c20a51b310b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 18 May 2023 20:05:02 -0500
Subject: [PATCH 1001/1020] Revert "clamp moveTo to genome bounds"

This reverts commit c044eb8c5b2dd61f2e18293bb86627a14844880d.
---
 anvio/data/interactive/js/genomeview/drawer.js     | 2 +-
 anvio/data/interactive/js/genomeview/navigation.js | 7 +------
 2 files changed, 2 insertions(+), 7 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index a62c312b4b..02690cce03 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -691,7 +691,7 @@ GenomeDrawer.prototype.centerGenes = function (genes, centerToGeneStart=false) {
       // pan to this gene
       let gene = this.settings['genomeData']['genomes'].find(g=>g[0]==genomeID)[1].genes.gene_calls[targetGeneID];
       let len = gene.stop - gene.start;
-      moveTo(gene.start - len*3 - 10000, gene.stop + len*3 + 10000, genomeID);
+      moveTo(gene.start - len*3, gene.stop + len*3, genomeID);
       return;
     }
 
diff --git a/anvio/data/interactive/js/genomeview/navigation.js b/anvio/data/interactive/js/genomeview/navigation.js
index fab525e3a1..5d4e0fa90c 100644
--- a/anvio/data/interactive/js/genomeview/navigation.js
+++ b/anvio/data/interactive/js/genomeview/navigation.js
@@ -214,12 +214,7 @@ function moveToAndUpdateScale(start, stop, transition=true) {
 /*
  *  Pan viewport to new [start, stop] location.
  */
-function moveTo(start, stop, genomeID=null) { // make sure start, stop in bounds of genome
-  // clamp start and stop to bounds of genome
-  let [lbound, rbound] = genomeID ? calcXBoundsForGenome(genomeID).map(x => x / scaleFactor) : calcNTBounds();
-  start = clamp(start, lbound, rbound);
-  stop = clamp(stop, lbound, rbound);
-
+function moveTo(start, stop, genomeID=null) {
   // zoom + pan viewport to new location
   let ntsToShow = stop - start;
   scaleFactor = canvas.getWidth() / ntsToShow;

From 4738af3a3608811917119de7fad5920531542021 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 18 May 2023 20:05:17 -0500
Subject: [PATCH 1002/1020] search accession AND annotation for alignment

---
 anvio/data/interactive/js/genomeview/utils.js | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 35e501ebd6..ad94c2e8e0 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -99,7 +99,8 @@ function getGenesWithAnnotation(annotation_type, annotation_value) {
     let geneFunctions = genome[1]['genes']['functions'];
     if(geneFunctions) {
       for(geneID in geneFunctions) {
-        if(geneFunctions[geneID][annotation_type] && geneFunctions[geneID][annotation_type][1].toLowerCase().includes(annotation_value.toLowerCase())) {
+        let annotation_info = geneFunctions[geneID][annotation_type];
+        if(annotation_info && annotation_info[0].toLowerCase().includes(annotation_value.toLowerCase()) || annotation_info[1].toLowerCase().includes(annotation_value.toLowerCase())) {
           targetGenes.push({genomeID: genome[0], geneID: geneID});
         }
       }

From cb0ecc8aa32b8b51e42da21e144a2e97ef8c40ce Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 18 May 2023 23:07:44 -0500
Subject: [PATCH 1003/1020] load in maxGroupSize

---
 anvio/data/interactive/js/genomeview/main.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 1e8e93f4c7..02797b2bfe 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -608,6 +608,7 @@ function loadAll(loadType) {
     let genome = row.id.split('-')[0]
     $('#' + genome + '-show').prop('checked', settings['display']['show-genomes'][genome])
   })
+  maxGroupSize = $('.additional_selectors:checked').length;
 
   let [start, stop] = settings['display']['nt_window'];
   $('#brush_start').val(start);

From 152ec311ce9b441cf994603ce53c2c36ad2d0ca4 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 18 May 2023 23:09:42 -0500
Subject: [PATCH 1004/1020] update query+alignment UI

---
 anvio/data/interactive/genomeview.html | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 558f1c6ff2..414950b818 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -257,13 +257,13 @@ <h4 class="modal-title">Lasso</h4>
       <table id="genomeAlignmentTable" style="margin-bottom: 20px;">
         <tbody>
           <tr>
-            <td>Center genomes to property: </td>
+            <td>Category: </td>
             <td>
               <select class="type_multiple" id='center_genomes_category' style="width: 100px;" class="type"></select>
             </td>
           </tr>
           <tr>
-            <td>Prop value:</td>
+            <td>Value:</td>
             <td><input type="text" class="form-control input-sm" id="center_genes_prop_value" placeholder="e.g. 'lipid transport'">
             </td>
           </tr>
@@ -529,8 +529,8 @@ <h4 class="modal-title">Lasso</h4>
           </td>
         </tr>
         <tr>
-          <td>Function Name:</td>
-          <td><input type="text" class="form-control input-sm" id="function_search_query" placeholder="IE 'borp'">
+          <td>Value:</td>
+          <td><input type="text" class="form-control input-sm" id="function_search_query" placeholder="e.g. 'lipid transport'">
           </td>
         </tr>
         <tr>

From 7f477fbb5d0963f6a59f1a7afea758f7d46ce187 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 18 May 2023 23:51:03 -0500
Subject: [PATCH 1005/1020] wrap text for genome name in mouseover panel

---
 anvio/data/interactive/genomeview.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 414950b818..a662753bcf 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -592,7 +592,7 @@ <h4 class="modal-title">Lasso</h4>
       style="display: block; font-size: 11px; transform: rotate(90deg);"><u>M</u>OUSE</span>
   </div>
   <div id="mouseover-panel">
-    <h3 id='mouseover-panel-genome' style="font-size: 20px"></h3>
+    <h3 id='mouseover-panel-genome' style="font-size: 20px; word-wrap: break-word;"></h3>
     <h2>Gene Call</h2>
     <table class="table table-striped" style="width: 100%; text-align: center;">
       <thead>

From fb1c66f8cd14ce7b107141ec9cf4d7d406fc0a77 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 19 May 2023 00:02:41 -0500
Subject: [PATCH 1006/1020] calculate genomeMax as end of contig not end of
 last gene

---
 anvio/data/interactive/js/genomeview/utils.js | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index ad94c2e8e0..150c4c3b61 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -43,8 +43,7 @@ function calculateGenomeLengths(){
   globalGenomeMax = -999999;
   for(genome of genomeData.genomes) {
     let genomeID = genome[0]
-    genome = genome[1].genes.gene_calls;
-    let genomeEnd = Object.values(genome)[Object.keys(genome).length-1].stop;
+    let genomeEnd = Object.values(genome[1].contigs.info)[0].length;
     genomeMax[genomeID] = genomeEnd;
     if(genomeEnd > globalGenomeMax) globalGenomeMax = genomeEnd;
   }

From c4e9688c100fa56ebea9a259dbab1027f3e3458c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 19 May 2023 00:17:55 -0500
Subject: [PATCH 1007/1020] keep zoom level the same when gene centering

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 02690cce03..7492aedb32 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -691,7 +691,9 @@ GenomeDrawer.prototype.centerGenes = function (genes, centerToGeneStart=false) {
       // pan to this gene
       let gene = this.settings['genomeData']['genomes'].find(g=>g[0]==genomeID)[1].genes.gene_calls[targetGeneID];
       let len = gene.stop - gene.start;
-      moveTo(gene.start - len*3, gene.stop + len*3, genomeID);
+      let ntsToShow = parseInt($('#brush_end').val()) - parseInt($('#brush_start').val());
+      let extraNts = ntsToShow - len;
+      moveTo(gene.start - extraNts/2, gene.stop + extraNts/2, genomeID);
       return;
     }
 

From 6dd1104658b3b2811a8cfebc84fc716db21444dc Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 19 May 2023 00:20:24 -0500
Subject: [PATCH 1008/1020] fix shift+alt bug

---
 anvio/data/interactive/js/genomeview/ui.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index d9d1b740f5..8dad53435a 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -42,6 +42,7 @@ function setCanvasListeners(){
       this.isDragging = true;
       this.selection = false;
       this.lastPosX = evt.clientX;
+      canvas.getObjects().filter(o => o.id != 'genomeLine' && !String(o.id).includes('graph-shaded')).forEach(o => o.selectable = false);
     } else {
       if(opt.target && opt.target.id === 'arrow'){
         showDeepDiveToolTip(opt)

From 5211f172af88ccb1667c008e1aa8df11d92e2c07 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 19 May 2023 03:35:54 -0500
Subject: [PATCH 1009/1020] fix alt+drag duplication bug

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 8dad53435a..3cde377516 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -204,7 +204,7 @@ function setEventListeners(){
         break
       case 18: // Alt
         if(ev.shiftKey) break;
-        canvas.getObjects().filter(o => o.id != 'genomeLine' && !String(o.id).includes('graph-shaded')).forEach(o => o.selectable = true);
+        canvas.getObjects().filter(o => o.id != 'genomeLine' && !String(o.id).includes('graph-shaded') && !String(o.id).includes('groupBorder')).forEach(o => o.selectable = true);
         break
     }
   });

From 5dcbe8c18290c0d086c3f0a13506486089d4c20f Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Fri, 19 May 2023 03:41:50 -0500
Subject: [PATCH 1010/1020] warning message if multiple genes per genome

---
 anvio/data/interactive/js/genomeview/drawer.js | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 7492aedb32..113cb7ea41 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -681,7 +681,12 @@ GenomeDrawer.prototype.centerGenes = function (genes, centerToGeneStart=false) {
   this.settings['genomeData']['genomes'].map(g => g[0]).forEach(genomeID => {
     let geneIDs = genes.filter(gene => gene.genomeID == genomeID).map(gene => gene.geneID).sort();
     if(geneIDs.length == 0) return;
-    let targetGeneID = geneIDs[0]; // TODO: for loop through genes and allow user to select a gene ID
+
+    // select targetGeneID
+    let targetGeneID = geneIDs[0];
+    if(geneIDs.length > 1) {
+      toastr.warning(`${geneIDs.length} gene hits were found on genome ${genomeID}, so the first one (gene ID ${targetGeneID}) was selected as the anchor gene.`);
+    }
     let genePos = centerToGeneStart ? getGeneStart(genomeID, targetGeneID) : getGeneMid(genomeID, targetGeneID);
     centeredGenes.push({genomeID: genomeID, geneID: targetGeneID});
     

From 6464fd6ad4301df8e029b66a88b35aeaf4f911fa Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 10 Jun 2023 18:10:07 -0500
Subject: [PATCH 1011/1020] final gv fix: lasso menu

---
 anvio/data/interactive/js/genomeview/drawer.js | 7 ++++---
 anvio/data/interactive/js/genomeview/ui.js     | 8 +++++---
 2 files changed, 9 insertions(+), 6 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 113cb7ea41..662fe6524d 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -406,11 +406,12 @@ GenomeDrawer.prototype.buildGroupRulerLayer = function (genomeID, layerPos, laye
       left: startingLeft,
       top: startingTop + (layerHeight / 2),
       lockMovementY: true,
+      lockMovementX: true,
       hasControls: false,
       hasBorders: false,
       lockScaling: true,
       objectCaching: false,
-      selectable: canvas.shades, // if a genome is currently being dragged
+      selectable: true,
       hoverCursor: 'default',
       groupID: genomeID,
       class: 'ruler'
@@ -535,9 +536,9 @@ GenomeDrawer.prototype.geneArrow = function (gene, geneID, y, genomeID, style) {
   arrow.set({
     id: 'arrow',
     groupID: genomeID,
-    lockMovementX: false,
+    lockMovementX: true,
     lockMovementY: true,
-    selectable: canvas.shades, // if a genome is currently being dragged
+    selectable: true,
     hasControls: false,
     hasBorders: false,
     lockScaling: true,
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 3cde377516..24bebd4d59 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -38,6 +38,8 @@ function setCanvasListeners(){
     var evt = opt.e;
     if(evt.altKey) {
       if (opt.target && opt.target.groupID) this.prev = opt.target.left;
+      // allow horizontal movement
+      canvas.getObjects().filter(o => o.class == 'ruler' || o.id == 'arrow').forEach(o => o.lockMovementX = false);
     } else if (evt.shiftKey) {
       this.isDragging = true;
       this.selection = false;
@@ -204,13 +206,13 @@ function setEventListeners(){
         break
       case 18: // Alt
         if(ev.shiftKey) break;
-        canvas.getObjects().filter(o => o.id != 'genomeLine' && !String(o.id).includes('graph-shaded') && !String(o.id).includes('groupBorder')).forEach(o => o.selectable = true);
         break
     }
   });
   document.body.addEventListener("keyup", function (ev) {
-    if (ev.which == 18 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // Alt = 18
-      canvas.getObjects().filter(o => o.id != 'genomeLine' && !String(o.id).includes('graph-shaded')).forEach(o => o.selectable = false);
+    if (ev.which == 18 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // 18
+      // restrict horizontal movement
+      canvas.getObjects().filter(o => o.class == 'ruler' || o.id == 'arrow').forEach(o => o.lockMovementX = true);
     }
   }, {passive: true});
 

From 44b5a784e8fe199d4ba606ab42c25308fa2e8e8a Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 10 Jun 2023 18:38:56 -0500
Subject: [PATCH 1012/1020] final gv fix: query/center by accession _then_
 annotation

---
 .../data/interactive/js/genomeview/drawer.js  | 12 ++++++++--
 anvio/data/interactive/js/genomeview/utils.js | 24 ++++++++++++++++---
 2 files changed, 31 insertions(+), 5 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 662fe6524d..00f20a0522 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -957,9 +957,17 @@ GenomeDrawer.prototype.queryFunctions = async function () {
     return;
   }
 
+  let matchByAccession = false;
   this.settings['genomeData']['genomes'].map(genome => {
+    // if we start with finding accession, stay with accession
     for (const [key, value] of Object.entries(genome[1]['genes']['functions'])) {
-      if (value[category]?.[0].toLowerCase().includes(query)) {
+      if (value[category]?.[0].toLowerCase().includes(query)) { // accession
+        if(!matchByAccession) {
+          matchByAccession = true;
+          glowPayload = [];
+          foundInGenomes = {};
+          distinctQueryMatches = {};
+        }
         let glowObject = {
           genomeID: genome[0],
           geneID: key,
@@ -973,7 +981,7 @@ GenomeDrawer.prototype.queryFunctions = async function () {
           distinctQueryMatches[value[category][0]] = true
         }
       }  // check for accession and annotation values separately, as we want to capture the exact match for sorting results
-      else if (value[category]?.[1].toLowerCase().includes(query)) {
+      else if (!matchByAccession && value[category]?.[1].toLowerCase().includes(query)) { // annotation
         let glowObject = {
           genomeID: genome[0],
           geneID: key,
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 150c4c3b61..106002c942 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -94,14 +94,25 @@ function getGeneStart(genomeID, geneID) {
  */
 function getGenesWithAnnotation(annotation_type, annotation_value) {
   let targetGenes = [];
+  let getByAnnotation = false;
   settings['genomeData']['genomes'].forEach(genome => {
     let geneFunctions = genome[1]['genes']['functions'];
     if(geneFunctions) {
       for(geneID in geneFunctions) {
+
         let annotation_info = geneFunctions[geneID][annotation_type];
-        if(annotation_info && annotation_info[0].toLowerCase().includes(annotation_value.toLowerCase()) || annotation_info[1].toLowerCase().includes(annotation_value.toLowerCase())) {
-          targetGenes.push({genomeID: genome[0], geneID: geneID});
+        if(annotation_info) {
+          if(annotation_info[0].toLowerCase().includes(annotation_value.toLowerCase())) { // accession 
+            if(!getByAnnotation) {
+              getByAnnotation = true;
+              targetGenes = [];
+            }
+            targetGenes.push({genomeID: genome[0], geneID: geneID});
+          } else if(!getByAnnotation && annotation_info[1].toLowerCase().includes(annotation_value.toLowerCase())) { // annotation
+            targetGenes.push({genomeID: genome[0], geneID: geneID});
+          }
         }
+
       }
     }
   });
@@ -115,13 +126,20 @@ function getGenesWithMetadata(metadata_type, metadata_value) {
   let targetGenes = [];
 
   if(!settings.display.metadata) return [];
+  let getByAnnotation = false;
   settings['display']['metadata'].filter(m => m.type == metadata_type).forEach(metadata => {
     if(metadata_type == 'tag') {
       if(metadata.label.toLowerCase() == metadata_value.toLowerCase()) {
         targetGenes.push({genomeID: metadata.genome, geneID: metadata.gene});
       }
     } else if(metadata_type == 'annotation') {
-      if(metadata.accession == metadata_value || metadata.annotation == metadata_value) {
+      if(metadata.accession.toLowerCase().includes(annotation_value.toLowerCase())) { // accession
+        if(!getByAnnotation) {
+          getByAnnotation = true;
+          targetGenes = [];
+        }
+        targetGenes.push({genomeID: metadata.genome, geneID: metadata.gene});
+      } else if(!getByAnnotation && metadata.annotation.toLowerCase().includes(annotation_value.toLowerCase())) { // annotation
         targetGenes.push({genomeID: metadata.genome, geneID: metadata.gene});
       }
     }

From 8938071971c90fe07319a93af44e668479479758 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Sat, 10 Jun 2023 18:40:56 -0500
Subject: [PATCH 1013/1020] final gv fix: set label cosmetics

---
 anvio/data/interactive/js/genomeview/drawer.js | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 00f20a0522..0190b9f66a 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -267,8 +267,9 @@ GenomeDrawer.prototype.addGenome = function (orderIndex, layerHeight, layerPos,
       id: 'setLabel',
       groupID: genomeID,
       fontSize: settings['display']['gene-label-size'],
+      fontFamily: 'sans-serif',
       left: nt_disps[genomeID]*scaleFactor + x_set_label * scaleFactor,
-      top: y_set_label,
+      top: y_set_label+10,
       scaleX: 0.5,
       scaleY: 0.5,
       editable: true,

From f3e0f2f953b47f45f8de1c49973750765e969184 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 14 Jun 2023 00:52:01 -0500
Subject: [PATCH 1014/1020] final gv fix: allocate colors in table by order of
 count

---
 anvio/data/interactive/js/genomeview/ui.js    | 9 +++++----
 anvio/data/interactive/js/genomeview/utils.js | 4 ++++
 2 files changed, 9 insertions(+), 4 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 24bebd4d59..5f9169a38d 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1591,11 +1591,12 @@ function generateColorTable(fn_colors, fn_type, highlight_genes=null, filter_to_
       })
     );
 
-    // Save pre-sort order
+    // Save pre-sort order based on counts
     let order = {};
-    for(let i = 0; i < Object.keys(counts).length; i++) {
-      order[Object.keys(counts)[i]] = i;
-    }
+    let cags_sorted_by_count = Object.entries(counts).sort((first, second) => {return second[1] - first[1]}).map(e => e[0]);
+    Object.keys(counts).forEach(category => {
+      order[category] = cags_sorted_by_count.indexOf(category);
+    });
 
     // Sort categories
     counts = Object.fromEntries(
diff --git a/anvio/data/interactive/js/genomeview/utils.js b/anvio/data/interactive/js/genomeview/utils.js
index 106002c942..5729fbe729 100644
--- a/anvio/data/interactive/js/genomeview/utils.js
+++ b/anvio/data/interactive/js/genomeview/utils.js
@@ -252,6 +252,10 @@ function getFunctionalAnnotations() {
 }
 
 /*
+ *  @param fn_type: the functional annotation type we use to retrieve function values
+ *  @param cags: array of categories (strings) in a given order that we will sequentially assign colors to
+ *  @param order: dict mapping each category to an index of the default color array. If null, 
+ *                 colors will be assigned sequentially in the order specified by the cags array.
  *  @returns arbitrary category:color dict given a list of categories
  */
 function getCustomColorDict(fn_type, cags=null, order=null) {

From a18208d6477a20f72be9f47588b87254583bc18b Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 14 Jun 2023 01:18:47 -0500
Subject: [PATCH 1015/1020] final gv fix: comma-separated annotations

---
 anvio/data/interactive/js/utils.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/anvio/data/interactive/js/utils.js b/anvio/data/interactive/js/utils.js
index 81705c4bc0..d45e2e22d2 100644
--- a/anvio/data/interactive/js/utils.js
+++ b/anvio/data/interactive/js/utils.js
@@ -58,7 +58,7 @@ function getKeyByValue(object, value) {
  */
 function getCagForType(geneFunctions, fn_type) {
   let out = (geneFunctions != null && geneFunctions[fn_type] != null) ? geneFunctions[fn_type][1] : null;
-  if(out && out.indexOf(',') != -1) out = out.substr(0,out.indexOf(',')); // take first cag in case of a comma-separated list
+  if(out && out.indexOf(', ') != -1) out = out.substr(0,out.indexOf(', ')); // take first cag in case of a comma-separated list
   if(out && out.indexOf(';') != -1) out = out.substr(0,out.indexOf(';'));
   if(out && out.indexOf('!!!') != -1) out = out.substr(0,out.indexOf('!!!'));
   return out;
@@ -93,7 +93,7 @@ function appendColorRow(label, cagCode, color, prepend=false) {
 
 function getCleanCagCode(code) {
   if(!isNaN(code)) return code;
-  return code.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_').split('/').join('_').split('+').join('_').split('.').join('_').split('\'').join('_').split('\"').join('_');
+  return code.split(' ').join('_').split('(').join('_').split(')').join('_').split(':').join('_').split('/').join('_').split('+').join('_').split('.').join('_').split('\'').join('_').split('\"').join('_').split(',').join('_');
 }
 
 //-----------------------------------------------------------------------------

From 7f31c24a2b71da73cfbb9095a7b3008e50c5b866 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Tue, 20 Jun 2023 15:21:57 -0500
Subject: [PATCH 1016/1020] final gv fix: sliding

---
 anvio/data/interactive/js/genomeview/ui.js | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 5f9169a38d..71399bfc91 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -210,9 +210,12 @@ function setEventListeners(){
     }
   });
   document.body.addEventListener("keyup", function (ev) {
-    if (ev.which == 18 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // 18
+    if (ev.which == 18 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // 18 = alt key
       // restrict horizontal movement
       canvas.getObjects().filter(o => o.class == 'ruler' || o.id == 'arrow').forEach(o => o.lockMovementX = true);
+    } else if(ev.which == 16 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // 16 = shift key
+      // restore horizontal movement
+      canvas.getObjects().filter(o => o.id != 'genomeLine' && !String(o.id).includes('graph-shaded')).forEach(o => o.selectable = true);
     }
   }, {passive: true});
 

From 6655cba5e9c57027f6943ace9cb6a05a7f34ba77 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Wed, 21 Jun 2023 17:40:08 -0500
Subject: [PATCH 1017/1020] final gv fix: more specific

---
 anvio/data/interactive/js/genomeview/ui.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 71399bfc91..26e911b04b 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -215,7 +215,7 @@ function setEventListeners(){
       canvas.getObjects().filter(o => o.class == 'ruler' || o.id == 'arrow').forEach(o => o.lockMovementX = true);
     } else if(ev.which == 16 && ev.target.nodeName !== 'TEXTAREA' && ev.target.nodeName !== 'INPUT') { // 16 = shift key
       // restore horizontal movement
-      canvas.getObjects().filter(o => o.id != 'genomeLine' && !String(o.id).includes('graph-shaded')).forEach(o => o.selectable = true);
+      canvas.getObjects().filter(o => o.id == 'arrow' || o.class == 'ruler').forEach(o => o.selectable = true);
     }
   }, {passive: true});
 

From 12365a747c4a522ea4365a3090b391329eafdcd6 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 22 Jun 2023 03:51:17 -0500
Subject: [PATCH 1018/1020] final gv fix: allow user to select anchor gene for
 multiple hits during centering

---
 anvio/data/interactive/genomeview.html        | 17 ++++++
 .../data/interactive/js/genomeview/drawer.js  | 57 ++++++++++---------
 anvio/data/interactive/js/genomeview/ui.js    | 39 +++++++++++++
 3 files changed, 87 insertions(+), 26 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index a662753bcf..34a2a449f9 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -170,6 +170,23 @@ <h4 class="modal-title">Lasso</h4>
     </div>
   </div>
 
+  <div class="modal" id='centering-options-modal-body'>
+    <div class="modal-dialog modal-sm">
+      <div class="modal-content">
+        <div class="modal-header">
+          <!-- <button type="button" class="close" data-dismiss="modal">&times;</button> -->
+          <h4 id="centering-options-title" class="modal-title">Select an Anchor Gene</h4>
+        </div>
+        <div class="modal-body" id="centering-options-modal-content">
+
+        </div>
+        <!-- <div class="modal-footer">
+          <button type="button" class="btn btn-default" data-dismiss="modal">Close</button>
+        </div> -->
+      </div>
+    </div>
+  </div>
+
   <div id="toggle-panel-settings" onclick="toggleRightPanel('#settings-panel')">
     <span id="toggle-panel-settings-inner">&#9664;</span><span
       style="display: block; font-size: 11px; transform: rotate(90deg);"><u>S</u>ETTINGS</span>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index 0190b9f66a..f141276bb5 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -676,36 +676,40 @@ GenomeDrawer.prototype.removeAllGeneGlows = function () {
  *
  *  @param genes: list of target genes in format [{genomeID: 'ABC', geneID: 1}]
  */
-GenomeDrawer.prototype.centerGenes = function (genes, centerToGeneStart=false) {
+GenomeDrawer.prototype.centerGenes = async function (genes, centerToGeneStart=false) {
   let firstGenome = true;
   let basePad = 0;
   let centeredGenes = [];
-  this.settings['genomeData']['genomes'].map(g => g[0]).forEach(genomeID => {
-    let geneIDs = genes.filter(gene => gene.genomeID == genomeID).map(gene => gene.geneID).sort();
-    if(geneIDs.length == 0) return;
-
-    // select targetGeneID
-    let targetGeneID = geneIDs[0];
-    if(geneIDs.length > 1) {
-      toastr.warning(`${geneIDs.length} gene hits were found on genome ${genomeID}, so the first one (gene ID ${targetGeneID}) was selected as the anchor gene.`);
-    }
-    let genePos = centerToGeneStart ? getGeneStart(genomeID, targetGeneID) : getGeneMid(genomeID, targetGeneID);
-    centeredGenes.push({genomeID: genomeID, geneID: targetGeneID});
-    
-    if(firstGenome) {
-      firstGenome = false;
-      basePad = nt_disps[genomeID] + genePos;
-      // pan to this gene
-      let gene = this.settings['genomeData']['genomes'].find(g=>g[0]==genomeID)[1].genes.gene_calls[targetGeneID];
-      let len = gene.stop - gene.start;
-      let ntsToShow = parseInt($('#brush_end').val()) - parseInt($('#brush_start').val());
-      let extraNts = ntsToShow - len;
-      moveTo(gene.start - extraNts/2, gene.stop + extraNts/2, genomeID);
-      return;
-    }
 
-    nt_disps[genomeID] += (basePad - (nt_disps[genomeID]+genePos));
-  });
+  await (async function() {
+    for await (genomeID of this.settings['genomeData']['genomes'].map(g=>g[0])) {
+      let geneIDs = genes.filter(gene => gene.genomeID == genomeID).map(gene => gene.geneID).sort((a,b)=>{return a-b;});
+      if(geneIDs.length == 0) continue;
+
+      // select targetGeneID - loop through genes and allow user to select a gene ID
+      let targetGeneID = geneIDs[0];
+      if(geneIDs.length > 1) {
+        targetGeneID = await showGeneCenteringMenu(genomeID, geneIDs);
+      }
+
+      let genePos = centerToGeneStart ? getGeneStart(genomeID, targetGeneID) : getGeneMid(genomeID, targetGeneID);
+      centeredGenes.push({genomeID: genomeID, geneID: targetGeneID});
+      
+      if(firstGenome) {
+        firstGenome = false;
+        basePad = nt_disps[genomeID] + genePos;
+        // pan to this gene
+        let gene = this.settings['genomeData']['genomes'].find(g=>g[0]==genomeID)[1].genes.gene_calls[targetGeneID];
+        let len = gene.stop - gene.start;
+        let ntsToShow = parseInt($('#brush_end').val()) - parseInt($('#brush_start').val());
+        let extraNts = ntsToShow - len;
+        moveTo(gene.start - extraNts/2, gene.stop + extraNts/2, genomeID);
+        continue;
+      }
+
+      nt_disps[genomeID] += (basePad - (nt_disps[genomeID]+genePos));
+    }
+  })();
 
   // reenable scale if all genomes are aligned
   let disps = Object.values(nt_disps);
@@ -728,6 +732,7 @@ GenomeDrawer.prototype.centerGenes = function (genes, centerToGeneStart=false) {
     }
   }
 
+  updateRenderWindow();
   this.draw();
   this.glowGenes(centeredGenes);
 }
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 26e911b04b..2392a22115 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1295,6 +1295,45 @@ function showLassoMenu(selected_genes, x, y) {
     }
 }
 
+async function showGeneCenteringMenu(genomeID, targetGeneIDs) {
+  let selectOptions = '';
+  let geneOptions = '';
+  targetGeneIDs.forEach(geneID => {
+    selectOptions += `<option value=${geneID}>${geneID}</option>`;
+    let gene_call = this.settings['genomeData']['genomes'].find(g => g[0]==genomeID)[1].genes.gene_calls[geneID];
+    geneOptions += `<tr><td>${geneID}</td><td>${gene_call.start}</td><td>${gene_call.stop}</td><td><button onclick='selectAnchorGene(${geneID})'>Select</button></td></tr>`;
+  });
+
+  $('#centering-options-modal-body').modal('show')
+  $('#centering-options-modal-content').empty().append(`
+    <h1>Genome <u>${genomeID}</u> has multiple hits!</h1>
+    <table><tr>
+      <td><p>Select an anchor gene ID:</p></td>
+      <td><select id='anchor-gene-select' style="margin-bottom: 10px" class="form-control input-xs">${selectOptions}</select></td>
+    </tr></table>
+    <button id='useAnchorGene'>Let's go!</button>
+    <table class="table table-striped" style="text-align: center; margin-bottom: 10px;">
+      <thead><tr><th class='text-center'>ID</th><th class='text-center'>Start</th><th class='text-center'>Stop</th><th class='text-center'>Select</th></tr></thead>
+      <tbody>${geneOptions}</tbody>
+    </table>
+  `)
+  $('#centering-options-title').text(`Select an anchor gene: ${genomeID}`);
+
+  selectAnchorGene = (geneID) => {
+    $('#anchor-gene-select').val(geneID);
+    $('#useAnchorGene').click();
+  }
+
+  function pauseUntilButtonPress(target) {
+    return new Promise((resolve) => target.addEventListener('click', resolve));
+  }
+
+  await pauseUntilButtonPress(document.getElementById('useAnchorGene'));
+  $('#centering-options-modal-body').modal('hide')
+
+  return $('#anchor-gene-select').val();
+}
+
 function createGeneSetLabel(selected_genes, title) {
   // assume selected_genes are from the same genomeID
   let genomeID = selected_genes[0].genomeID;

From 8d7e514c24da9d08e1583459828bda2fc9be711c Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 22 Jun 2023 14:50:49 -0500
Subject: [PATCH 1019/1020] final gv fix: option to always center to first hit

---
 anvio/data/interactive/genomeview.html         |  7 +++++++
 anvio/data/interactive/js/genomeview/drawer.js | 10 +++++-----
 anvio/data/interactive/js/genomeview/main.js   |  4 +++-
 anvio/data/interactive/js/genomeview/ui.js     |  4 ++--
 4 files changed, 17 insertions(+), 8 deletions(-)

diff --git a/anvio/data/interactive/genomeview.html b/anvio/data/interactive/genomeview.html
index 34a2a449f9..65a806a2a0 100644
--- a/anvio/data/interactive/genomeview.html
+++ b/anvio/data/interactive/genomeview.html
@@ -291,6 +291,13 @@ <h4 id="centering-options-title" class="modal-title">Select an Anchor Gene</h4>
               </div>
             </td>
           </tr>
+          <tr>
+            <td>Always use first hit:</td>
+            <td>
+              <div style="width: 20px;"><input id="always_use_first_hit_box" type="checkbox">
+              </div>
+            </td>
+          </tr>
           <tr>
             <td>
               <button onclick='drawer.centerGenesFromPropUI()' style="margin-bottom:10px;">Let's Go!</button>
diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index f141276bb5..d93ec9a600 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -676,7 +676,7 @@ GenomeDrawer.prototype.removeAllGeneGlows = function () {
  *
  *  @param genes: list of target genes in format [{genomeID: 'ABC', geneID: 1}]
  */
-GenomeDrawer.prototype.centerGenes = async function (genes, centerToGeneStart=false) {
+GenomeDrawer.prototype.centerGenes = async function (genes, centerToGeneStart=false, alwaysUseFirstHit=false) {
   let firstGenome = true;
   let basePad = 0;
   let centeredGenes = [];
@@ -688,7 +688,7 @@ GenomeDrawer.prototype.centerGenes = async function (genes, centerToGeneStart=fa
 
       // select targetGeneID - loop through genes and allow user to select a gene ID
       let targetGeneID = geneIDs[0];
-      if(geneIDs.length > 1) {
+      if(geneIDs.length > 1 && !alwaysUseFirstHit) {
         targetGeneID = await showGeneCenteringMenu(genomeID, geneIDs);
       }
 
@@ -737,7 +737,7 @@ GenomeDrawer.prototype.centerGenes = async function (genes, centerToGeneStart=fa
   this.glowGenes(centeredGenes);
 }
 
-GenomeDrawer.prototype.centerGenesToProp = function (category, type, value, centerToGeneStart=false) {
+GenomeDrawer.prototype.centerGenesToProp = function (category, type, value, centerToGeneStart=false, alwaysUseFirstHit=false) {
   let targetGenes;
   switch(category) {
     case 'annotation':
@@ -750,7 +750,7 @@ GenomeDrawer.prototype.centerGenesToProp = function (category, type, value, cent
       break;
   }
   if(targetGenes.length > 0) {
-    this.centerGenes(targetGenes, centerToGeneStart);
+    this.centerGenes(targetGenes, centerToGeneStart, alwaysUseFirstHit);
   }
 }
 
@@ -773,7 +773,7 @@ GenomeDrawer.prototype.centerGenesFromPropUI = function () {
 
   let value = $('#center_genes_prop_value').val();
 
-  this.centerGenesToProp(category, type, value, $('#center_to_gene_start_box').is(':checked'));
+  this.centerGenesToProp(category, type, value, $('#center_to_gene_start_box').is(':checked'), $('#always_use_first_hit_box').is(':checked'));
 }
 
 /*
diff --git a/anvio/data/interactive/js/genomeview/main.js b/anvio/data/interactive/js/genomeview/main.js
index 02797b2bfe..404bfd3902 100644
--- a/anvio/data/interactive/js/genomeview/main.js
+++ b/anvio/data/interactive/js/genomeview/main.js
@@ -323,6 +323,7 @@ function serializeSettings() {
   state['display']['adlPtsPerLayer'] = $('#adl_pts_per_layer').val() // number of data points to be subsampled per ADL. TODO: more meaningful default?
   state['display']['user-defined-colors'] = $('#user_defined_colors').is(':checked')
   state['display']['center-genes-to-start'] = $('#center_to_gene_start_box').is(':checked')
+  state['display']['always-use-first-hit'] = $('#always_use_first_hit_box').is(':checked')
 
   $('.genome_selectors').each((idx, row) => {
     let genome = row.id.split('-')[0]
@@ -553,7 +554,8 @@ function processState(stateName, stateData) {
   $('#show_dynamic_scale_box').prop("checked", settings['display']['dynamic-scale-interval']);
   $('#link_gene_label_color_source_box').prop("checked", settings['display']['link-gene-label-color-source']);
   $('#user_defined_colors').prop("checked", settings['display']['user-defined-colors']);
-  $('#center_to_gene_start_box').prop('checked', settings['display']['center-genes-to-start'])
+  $('#center_to_gene_start_box').prop('checked', settings['display']['center-genes-to-start']);
+  $('#always_use_first_hit_box').prop('checked', settings['display']['always-use-first-hit']);
 }
 
 function loadAll(loadType) {
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 2392a22115..61390f4eb3 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1306,9 +1306,9 @@ async function showGeneCenteringMenu(genomeID, targetGeneIDs) {
 
   $('#centering-options-modal-body').modal('show')
   $('#centering-options-modal-content').empty().append(`
-    <h1>Genome <u>${genomeID}</u> has multiple hits!</h1>
+    <h1 style='font-size:16px'>Genome <u style='font-size:16px'>${genomeID}</u> has multiple hits!</h1>
     <table><tr>
-      <td><p>Select an anchor gene ID:</p></td>
+      <td><p style='font-size:14px'>Select an anchor gene ID:</p></td>
       <td><select id='anchor-gene-select' style="margin-bottom: 10px" class="form-control input-xs">${selectOptions}</select></td>
     </tr></table>
     <button id='useAnchorGene'>Let's go!</button>

From 78113e134c94dccdc5b9f473a34a56a263f0c4f9 Mon Sep 17 00:00:00 2001
From: Isaac Fink <iafink@uchicago.edu>
Date: Thu, 22 Jun 2023 15:21:40 -0500
Subject: [PATCH 1020/1020] final gv fix: cosmetics

---
 anvio/data/interactive/js/genomeview/drawer.js | 4 ++--
 anvio/data/interactive/js/genomeview/ui.js     | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/anvio/data/interactive/js/genomeview/drawer.js b/anvio/data/interactive/js/genomeview/drawer.js
index d93ec9a600..93bdd8430d 100644
--- a/anvio/data/interactive/js/genomeview/drawer.js
+++ b/anvio/data/interactive/js/genomeview/drawer.js
@@ -757,11 +757,11 @@ GenomeDrawer.prototype.centerGenesToProp = function (category, type, value, cent
 GenomeDrawer.prototype.centerGenesFromPropUI = function () {
   let category, type;
   switch($('#center_genomes_category').val()) {
-    case 'metadata tag':
+    case 'Metadata tag':
       category = 'metadata';
       type = 'tag';
       break;
-    case 'user-defined annotation':
+    case 'User-defined annotation':
       category = 'metadata';
       type = 'annotation';
       break;
diff --git a/anvio/data/interactive/js/genomeview/ui.js b/anvio/data/interactive/js/genomeview/ui.js
index 61390f4eb3..675a27ea04 100644
--- a/anvio/data/interactive/js/genomeview/ui.js
+++ b/anvio/data/interactive/js/genomeview/ui.js
@@ -1804,7 +1804,7 @@ function buildGeneLabelsSelect(){
 }
 
 function buildCenterGenomesSelect(){
-  let options = ['metadata tag', 'user-defined annotation'].concat(getFunctionalAnnotations());
+  let options = ['Metadata tag', 'User-defined annotation'].concat(getFunctionalAnnotations());
   options.forEach(opt => {
     $('#center_genomes_category').append(new Option(opt, opt));
   });